diff --git a/.coveragerc b/.coveragerc
deleted file mode 100644
index cf95d92c..00000000
--- a/.coveragerc
+++ /dev/null
@@ -1,15 +0,0 @@
-[run]
-branch = True
-
-[report]
-exclude_lines =
-    if __name__ == .__main__.:
-    if self.debug:
-    if self.progress_bar:
-    pragma: no cover
-    raise NotImplementedError
-
-ignore_errors = True
-omit =
-    bt/tests/*
-    bt/docs/*
diff --git a/.github/dependabot.yml b/.github/dependabot.yml
new file mode 100644
index 00000000..9d2674e5
--- /dev/null
+++ b/.github/dependabot.yml
@@ -0,0 +1,12 @@
+version: 2
+updates:
+  - package-ecosystem: "github-actions"
+    directory: "/"
+    schedule:
+      interval: "weekly"
+
+  - package-ecosystem: "pip"
+    directory: "/"
+    schedule:
+      interval: "monthly"
+
diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml
index d8ba1bf0..e883fd7f 100644
--- a/.github/workflows/build.yml
+++ b/.github/workflows/build.yml
@@ -2,46 +2,62 @@ name: Build Status
 
 on:
   push:
+    branches:
+      - master
   pull_request:
-  schedule:
-    # run on sunday nights
-    - cron:  '0 0 * * 0'
+  workflow_dispatch:
+
+concurrency:
+   group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
+   cancel-in-progress: true
 
 jobs:
   build:
     runs-on: ${{ matrix.os }}
-    environment: dev
-
     strategy:
       matrix:
-        python-version: [3.6, 3.7, 3.8, 3.9]
-        os: [ubuntu-latest, macos-latest, windows-latest]
+        os:
+          - ubuntu-latest
+          - macos-latest
+          - windows-latest
+        python-version:
+          - 3.11
 
     steps:
-    - uses: actions/checkout@v2
+    - name: Checkout
+      uses: actions/checkout@v6
+
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v6
       with:
         python-version: ${{ matrix.python-version }}
+        cache: 'pip'
+        cache-dependency-path: 'setup.py'
 
     - name: Install dependencies
-      run: |
-        python -m pip install -e .[dev]
-        python -m pip install -U wheel twine setuptools
+      run: make develop
 
     - name: Lint
-      run: |
-        python -m flake8 bt setup.py
+      run: make lint
 
     - name: Test
-      run: |
-        python -m nose --with-coverage --cover-package bt
-
-    - name: Coverage
-      run: |
-        codecov
+      run: make test
 
     - name: Package and check
-      run: |
-        python setup.py sdist bdist_wheel
-        python -m twine check dist/*
+      run: make dist
+
+    - name: Install cibuildwheel
+      run: python -m pip install cibuildwheel
+
+    - name: Build wheels
+      run: python -m cibuildwheel --output-dir dist
+      env:
+        CIBW_BUILD: "cp311-*"
+
+    - name: Check Wheels
+      run: twine check dist/*
+
+    - uses: actions/upload-artifact@v7
+      with:
+        path: ./dist/*.whl
+        name: wheel-test-${{ runner.os }}-${{ runner.arch }}-${{ matrix.python-version }}
diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml
index 1a3ce506..85fad0d8 100644
--- a/.github/workflows/deploy.yml
+++ b/.github/workflows/deploy.yml
@@ -1,51 +1,118 @@
 name: Deploy
 
-on:  
+on:
   push:
     tags:
       - 'v*'
+  workflow_dispatch:
 
 jobs:
   build:
     runs-on: ${{ matrix.os }}
-    environment: dev
-
     strategy:
       matrix:
-        os: [ubuntu-latest, macos-latest, windows-latest]
-        python-version: [3.6, 3.7, 3.8, 3.9]
+        os:
+          - ubuntu-latest
+          - macos-latest
+          - windows-latest
+        include:
+          - python-version: "3.10"
+            cibuildwheel: "cp10"
+          - python-version: "3.11"
+            cibuildwheel: "cp311"
+          - python-version: "3.12"
+            cibuildwheel: "cp312"
+          - python-version: "3.13"
+            cibuildwheel: "cp313"
+          - python-version: "3.14"
+            cibuildwheel: "cp314"
 
     steps:
-    - uses: actions/checkout@v2
+    - name: Checkout
+      uses: actions/checkout@v6
+
     - name: Set up Python ${{ matrix.python-version }}
-      uses: actions/setup-python@v2
+      uses: actions/setup-python@v6
       with:
         python-version: ${{ matrix.python-version }}
 
     - name: Install dependencies
       run: |
-        python -m pip install -e .[dev]
+        make develop
         python -m pip install -U wheel twine setuptools
 
-    - name: Lint
-      run: |
-        python -m flake8 bt setup.py
+    - name: Install cibuildwheel
+      run: python -m pip install cibuildwheel
 
-    - name: Test
-      run: |
-        python -m nose --with-coverage --cover-package bt
+    - name: Python Wheel Steps (Linux - cibuildwheel)
+      run: python -m cibuildwheel --output-dir dist
+      env:
+        CIBW_BUILD: "${{ matrix.cibuildwheel }}-manylinux*"
+        CIBW_ARCHS_LINUX: x86_64 aarch64
+        CIBW_BUILD_VERBOSITY: 3
+      if: ${{ runner.os == 'Linux' }}
 
-    - name: Package and check
-      run: |
-        python setup.py sdist bdist_wheel
-        python -m twine check dist/*
+    - name: Python Build Steps (Macos)
+      run: python -m cibuildwheel --output-dir dist
+      env:
+        CIBW_BUILD: "${{ matrix.cibuildwheel }}-macos*"
+        CIBW_ARCHS_MACOS: x86_64 arm64
+        CIBW_BUILD_VERBOSITY: 3
+      if: ${{ matrix.os == 'macos-latest' }}
 
-    - name: Publish distribution 📦 to PyPI
-      if: ${{ startsWith(github.ref, 'refs/tags') && matrix.os != 'ubuntu-latest' }}
+    - name: Python Build Steps (Windows)
+      run: python -m cibuildwheel --output-dir dist
       env:
-        TWINE_USERNAME: ${{ secrets.PYPI_UN }}
-        TWINE_PASSWORD: ${{ secrets.PYPI_PW }}
-      run: |
-        python -m twine upload dist/* --skip-existing || echo "Failed to deploy"
+        CIBW_BUILD: "${{ matrix.cibuildwheel }}-win_amd64"
+      if: ${{ matrix.os == 'windows-latest' }}
+
+    - name: Check Wheels
+      run: twine check dist/*
+
+    - name: Upload Wheel
+      uses: actions/upload-artifact@v7
+      with:
+        name: wheel-${{ runner.os }}-${{ runner.arch }}-${{ matrix.python-version }}
+        path: dist/*.whl
+
+    # - name: Publish distribution 📦 to PyPI
+    #   if: ${{ startsWith(github.ref, 'refs/tags') && matrix.os != 'ubuntu-latest' }}
+    #   env:
+    #     TWINE_USERNAME: ${{ secrets.PYPI_UN }}
+    #     TWINE_PASSWORD: ${{ secrets.PYPI_PW }}
+    #   run: make upload
+  build_sdist:
+    strategy:
+      matrix:
+        os:
+          - ubuntu-latest
+        python-version:
+          - '3.10'
+
+    runs-on: ${{ matrix.os }}
+
+    steps:
+      - name: Checkout
+        uses: actions/checkout@v6
+        with:
+          submodules: recursive
+
+      - name: Set up Python ${{ matrix.python-version }}
+        uses: actions/setup-python@v6
+        with:
+          python-version: ${{ matrix.python-version }}
+
+      - name: Install dependencies
+        run: make develop
+
+      - name: Python SDist Steps
+        run: python setup.py sdist
 
+      - name: Check sdist
+        run: twine check dist/*.tar.gz
 
+      - name: Upload SDist
+        uses: actions/upload-artifact@v7
+        with:
+            name: sdist
+            path: dist/*.tar.gz
diff --git a/.github/workflows/regression.yml b/.github/workflows/regression.yml
new file mode 100644
index 00000000..a339eb40
--- /dev/null
+++ b/.github/workflows/regression.yml
@@ -0,0 +1,54 @@
+name: Regression and Version Tests
+
+on:
+  push:
+    branches:
+      - master
+  pull_request:
+  workflow_dispatch:
+
+concurrency:
+   group: ${{ github.workflow }}-${{ github.head_ref || github.run_id }}
+   cancel-in-progress: true
+
+jobs:
+  build:
+    runs-on: ${{ matrix.os }}
+    environment: dev
+
+    strategy:
+      matrix:
+        python-version:
+          - 3.11
+        os:
+          - ubuntu-latest
+        pandas_version:
+          - '>=1,<2'
+          - '>=2,<3'
+          - '>=3,<4'
+        numpy_version:
+          - '<2'
+          - '>=2'
+        exclude:
+          - numpy_version: '>=2'
+            pandas_version: '>=1,<2'
+
+    steps:
+    - name: Checkout
+      uses: actions/checkout@v6
+
+    - name: Set up Python ${{ matrix.python-version }}
+      uses: actions/setup-python@v6
+      with:
+        python-version: ${{ matrix.python-version }}
+        cache: 'pip'
+        cache-dependency-path: 'setup.py'
+
+    - name: Install dependencies
+      run: make develop
+
+    - name: Install specific pandas and numpy versions
+      run: pip install "pandas${{ matrix.pandas_version }}" "numpy${{ matrix.numpy_version }}"
+
+    - name: Test
+      run: make test
diff --git a/.gitignore b/.gitignore
index 5ffe6b00..287afe1a 100644
--- a/.gitignore
+++ b/.gitignore
@@ -35,6 +35,7 @@ htmlcov/
 .cache
 nosetests.xml
 coverage.xml
+python_junit.xml
 
 # Translations
 *.mo
@@ -70,3 +71,5 @@ docs/source/.ipynb_checkpoints/
 # macOS
 .DS_Store
 
+# jupyter
+.ipynb_checkpoints
\ No newline at end of file
diff --git a/LICENSE.txt b/LICENSE
similarity index 100%
rename from LICENSE.txt
rename to LICENSE
diff --git a/MANIFEST.in b/MANIFEST.in
index 494e4197..22581b84 100644
--- a/MANIFEST.in
+++ b/MANIFEST.in
@@ -1,15 +1,16 @@
-graft bt
+graft ffn
+include LICENSE
+include README.md
+include pyproject.toml
 
-include LICENSE.txt
-include README.rst
-include setup.py
+prune docs
+prune tests
 
-graft docs
-prune docs/build
-
-global-exclude *.so
-global-exclude *.pyd
+# Patterns to exclude from any directory
+global-exclude *~
 global-exclude *.pyc
-global-exclude .git*
-global-exclude .DS_Store
+global-exclude *.pyo
+global-exclude .git
+global-exclude .ipynb_checkpoints
 global-exclude .mypy_cache
+global-exclude .DS_Store
diff --git a/Makefile b/Makefile
index 1090e84d..36b820ca 100644
--- a/Makefile
+++ b/Makefile
@@ -2,55 +2,60 @@ TMPREPO=/tmp/docs/bt
 
 default: build_dev
 
-.PHONY: dist upload docs pages serve klink notebooks test lint fix
+.PHONY: dist upload docs pages serve klink notebooks test lint fix develop
+
+develop:
+	python -m pip install -e .[dev]
 
 test:
-	python -m nose --with-coverage --cover-package bt
+	python -m pytest -vvv tests --cov=bt --junitxml=python_junit.xml --cov-report=xml --cov-branch --cov-report term
 
 lint:
-	python -m flake8 bt setup.py
+	python -m ruff check bt setup.py docs/source/conf.py
+	python -m ruff format --check bt setup.py docs/source/conf.py
 
 fix:
-	python -m black bt setup.py
-
+	python -m ruff check --fix bt setup.py docs/source/conf.py
+	python -m ruff format bt setup.py docs/source/conf.py
 
 dist:
 	python setup.py sdist
+	python -m twine check dist/*
 
-upload: clean dist
-	twine upload dist/*
+upload: dist
+	python -m twine upload dist/* --skip-existing
 
-docs: 
+docs:
 	$(MAKE) -C docs/ clean
 	$(MAKE) -C docs/ html
 
-pages: 
-	- rm -rf $(TMPREPO)
+pages:
+	rm -rf $(TMPREPO)
 	git clone -b gh-pages git@github.com:pmorissette/bt.git $(TMPREPO)
 	rm -rf $(TMPREPO)/*
 	cp -r docs/build/html/* $(TMPREPO)
-	cd $(TMPREPO); \
-	git add -A ; \
-	git commit -a -m 'auto-updating docs' ; \
+	cd $(TMPREPO);\
+	git add -A ;\
+	git commit -a -m 'auto-updating docs' ;\
 	git push
 
 serve:
 	cd docs/build/html; \
-	python -m SimpleHTTPServer 9087
+	python -m http.server 9087
 
 build_dev:
-	- python setup.py build_ext --inplace
+	python setup.py build_ext --inplace
 
 clean:
-	- rm -rf build
-	- rm -rf dist
-	- rm -rf bt.egg-info
-	- find . -name '*.so' -delete
-	- find . -name '*.c' -delete
+	rm -rf build
+	rm -rf dist
+	rm -rf bt.egg-info
+	find . -name '*.so' -delete
+	find . -name '*.c' -delete
 
 klink:
 	git subtree pull --prefix=docs/source/_themes/klink --squash klink master
 
 notebooks:
 	cd docs/source; \
-	ipython notebook --no-browser --ip=*
+	jupyter notebook --no-browser --ip=*
diff --git a/README.md b/README.md
new file mode 100644
index 00000000..42afc9d7
--- /dev/null
+++ b/README.md
@@ -0,0 +1,113 @@
+![](http://pmorissette.github.io/bt/_static/logo.png)
+
+[![Build Status](https://github.com/pmorissette/bt/workflows/Build%20Status/badge.svg)](https://github.com/pmorissette/bt/actions/)
+[![PyPI Version](https://img.shields.io/pypi/v/bt)](https://pypi.org/project/bt/)
+[![PyPI License](https://img.shields.io/pypi/l/bt)](https://pypi.org/project/bt/)
+
+# bt - Flexible Backtesting for Python
+
+bt is currently in alpha stage - if you find a bug, please submit an issue.
+
+Read the docs here: http://pmorissette.github.io/bt.
+
+## What is bt?
+
+**bt** is a flexible backtesting framework for Python used to test quantitative
+trading strategies. **Backtesting** is the process of testing a strategy over a given
+data set. This framework allows you to easily create strategies that mix and match
+different [Algos](http://pmorissette.github.io/bt/bt.html#bt.core.Algo). It aims to foster the creation of easily testable, re-usable and
+flexible blocks of strategy logic to facilitate the rapid development of complex
+trading strategies.
+
+The goal: to save **quants** from re-inventing the wheel and let them focus on the
+important part of the job - strategy development.
+
+**bt** is coded in **Python** and joins a vibrant and rich ecosystem for data analysis.
+Numerous libraries exist for machine learning, signal processing and statistics and can be leveraged to avoid
+re-inventing the wheel - something that happens all too often when using other
+languages that don't have the same wealth of high-quality, open-source projects.
+
+bt is built atop [ffn](https://github.com/pmorissette/ffn) - a financial function library for Python. Check it out!
+
+## Features
+
+* **Tree Structure**
+    [The tree structure](http://pmorissette.github.io/bt/tree.html) facilitates the construction and composition of complex algorithmic trading
+    strategies that are modular and re-usable. Furthermore, each tree [Node](http://pmorissette.github.io/bt/bt.html#bt.core.Node) has its own
+    price index that can be used by Algos to determine a Node's allocation.
+
+* **Algorithm Stacks**
+    [Algos](http://pmorissette.github.io/bt/bt.html#bt.core.Algo) and [AlgoStacks](http://pmorissette.github.io/bt/bt.html#bt.core.AlgoStack) are
+    another core feature that facilitate the creation of modular and re-usable strategy
+    logic. Due to their modularity, these logic blocks are also easier to test -
+    an important step in building robust financial solutions.
+
+* **Charting and Reporting**
+    bt also provides many useful charting functions that help visualize backtest
+    results. We also plan to add more charts, tables and report formats in the future,
+    such as automatically generated PDF reports.
+
+* **Detailed Statistics**
+    Furthermore, bt calculates a bunch of stats relating to a backtest and offers a quick way to compare
+    these various statistics across many different backtests via [Results](http://pmorissette.github.io/bt/bt.html#bt.backtest.Result) display methods.
+
+
+## Roadmap
+
+Future development efforts will focus on:
+
+* **Speed**
+    Due to the flexible nature of bt, a trade-off had to be made between
+    usability and performance. Usability will always be the priority, but we do
+    wish to enhance the performance as much as possible.
+
+* **Algos**
+    We will also be developing more algorithms as time goes on. We also
+    encourage anyone to contribute their own algos as well.
+
+* **Charting and Reporting**
+    This is another area we wish to constantly improve on
+    as reporting is an important aspect of the job. Charting and reporting also
+    facilitate finding bugs in strategy logic.
+
+## Installing bt
+
+The easiest way to install `bt` is from the [Python Package Index](https://pypi.python.org/pypi/bt/)
+using `pip`:
+
+```bash
+pip install bt
+```
+
+
+Since bt has many dependencies, we strongly recommend installing the [Anaconda Scientific Python
+Distribution](https://store.continuum.io/cshop/anaconda/), especially on Windows. This distribution
+comes with many of the required packages pre-installed, including pip. Once Anaconda is installed, the above
+command should complete the installation.
+
+## Recommended Setup
+
+We believe the best environment to develop with bt is the [IPython Notebook](http://ipython.org/notebook.html).
+From their homepage, the IPython Notebook is:
+
+    "[...] a web-based interactive computational environment
+    where you can combine code execution, text, mathematics, plots and rich
+    media into a single document [...]"
+
+This environment allows you to plot your charts in-line and also allows you to
+easily add surrounding text with Markdown. You can easily create Notebooks that
+you can share with colleagues and you can also save them as PDFs. If you are not
+yet convinced, head over to their website.
+
+## Contributing to bt
+
+A Makefile is available to simplify local development.
+[GNU Make](https://www.gnu.org/software/make/) is required to run the `make` targets directly, and it is not often preinstalled [on Windows systems](https://gnuwin32.sourceforge.net/packages/make.htm).
+
+When developing in Python, it's advisable to [create and activate a virtual environment](https://docs.python.org/3/library/venv.html) to keep the project's dependencies isolated from the system.
+
+After the usual preparation steps for [contributing to a GitHub project](https://docs.github.com/en/get-started/exploring-projects-on-github/contributing-to-a-project) (forking, cloning, creating a feature branch), run `make develop` to install dependencies in the environment.
+
+While making changes and adding tests, run `make lint` and `make test` often to check for mistakes.
+
+After [commiting and pushing changes](https://docs.github.com/en/get-started/exploring-projects-on-github/contributing-to-a-project?tool=webui#making-and-pushing-changes), [create a Pull Request](https://docs.github.com/en/get-started/exploring-projects-on-github/contributing-to-a-project?tool=webui#making-a-pull-request) to discuss and get feedback on the proposed feature or fix.
diff --git a/README.rst b/README.rst
deleted file mode 100644
index 4bcfc7dc..00000000
--- a/README.rst
+++ /dev/null
@@ -1,129 +0,0 @@
-.. image:: http://pmorissette.github.io/bt/_static/logo.png
-
-.. image:: https://github.com/pmorissette/bt/workflows/Build%20Status/badge.svg
-    :target: https://github.com/pmorissette/bt/actions/
-
-.. image:: https://codecov.io/gh/pmorissette/bt/branch/master/graph/badge.svg
-    :target: https://codecov.io/pmorissette/bt
-
-bt - Flexible Backtesting for Python 
-====================================
-
-bt is currently in alpha stage - if you find a bug, please submit an issue.
-
-Read the docs here: http://pmorissette.github.io/bt.
-
-What is bt?
------------
-
-**bt** is a flexible backtesting framework for Python used to test quantitative
-trading strategies. **Backtesting** is the process of testing a strategy over a given 
-data set. This framework allows you to easily create strategies that mix and match 
-different `Algos <http://pmorissette.github.io/bt/bt.html#bt.core.Algo>`_. It aims to foster the creation of easily testable, re-usable and 
-flexible blocks of strategy logic to facilitate the rapid development of complex 
-trading strategies. 
-
-The goal: to save **quants** from re-inventing the wheel and let them focus on the 
-important part of the job - strategy development.
-
-**bt** is coded in **Python** and joins a vibrant and rich ecosystem for data analysis. 
-Numerous libraries exist for machine learning, signal processing and statistics and can be leveraged to avoid
-re-inventing the wheel - something that happens all too often when using other
-languages that don't have the same wealth of high-quality, open-source projects.
-
-bt is built atop `ffn <https://github.com/pmorissette/ffn>`_ - a financial function library for Python. Check it out!
-
-Features
----------
-
-* **Tree Structure**
-    `The tree structure <http://pmorissette.github.io/bt/tree.html>`_ facilitates the construction and composition of complex algorithmic trading 
-    strategies that are modular and re-usable. Furthermore, each tree `Node
-    <http://pmorissette.github.io/bt/bt.html#bt.core.Node>`_
-    has its own price index that can be
-    used by Algos to determine a Node's allocation. 
-
-* **Algorithm Stacks**
-    `Algos <http://pmorissette.github.io/bt/bt.html#bt.core.Algo>`_ and `AlgoStacks <http://pmorissette.github.io/bt/bt.html#bt.core.AlgoStack>`_ are
-    another core feature that facilitate the creation of modular and re-usable strategy
-    logic. Due to their modularity, these logic blocks are also easier to test -
-    an important step in building robust financial solutions.
-
-* **Charting and Reporting**
-    bt also provides many useful charting functions that help visualize backtest
-    results. We also plan to add more charts, tables and report formats in the future, 
-    such as automatically generated PDF reports.
-
-* **Detailed Statistics**
-    Furthermore, bt calculates a bunch of stats relating to a backtest and offers a quick way to compare
-    these various statistics across many different backtests via `Results'
-    <http://pmorissette.github.io/bt/bt.html#bt.backtest.Result>`_ display methods.
-
-
-Roadmap
---------
-
-Future development efforts will focus on:
-
-* **Speed**
-    Due to the flexible nature of bt, a trade-off had to be made between
-    usability and performance. Usability will always be the priority, but we do
-    wish to enhance the performance as much as possible.
-
-* **Algos**
-    We will also be developing more algorithms as time goes on. We also
-    encourage anyone to contribute their own algos as well.
-
-* **Charting and Reporting**
-    This is another area we wish to constantly improve on
-    as reporting is an important aspect of the job. Charting and reporting also
-    facilitate finding bugs in strategy logic.
-
-Installing bt
--------------
-
-The easiest way to install ``bt`` is from the `Python Package Index <https://pypi.python.org/pypi/bt/>`_
-using ``pip`` or ``easy_insatll``:
-
-.. code-block:: bash
-
-    $ pip install bt 
-
-Since bt has many dependencies, we strongly recommend installing the `Anaconda Scientific Python
-Distribution <https://store.continuum.io/cshop/anaconda/>`_, especially on Windows. This distribution 
-comes with many of the required packages pre-installed, including pip. Once Anaconda is installed, the above 
-command should complete the installation. 
-
-bt should be compatible with Python 2.7 and Python 3 thanks to the contributions
-made by fellow users.
-
-Recommended Setup
------------------
-
-We believe the best environment to develop with bt is the `IPython Notebook
-<http://ipython.org/notebook.html>`__. From their homepage, the IPython Notebook
-is:
-
-    "[...] a web-based interactive computational environment
-    where you can combine code execution, text, mathematics, plots and rich
-    media into a single document [...]"
-
-This environment allows you to plot your charts in-line and also allows you to
-easily add surrounding text with Markdown. You can easily create Notebooks that
-you can share with colleagues and you can also save them as PDFs. If you are not
-yet convinced, head over to their website.
-
-Special Thanks
---------------
-
-A special thanks to the following contributors for their involvement with the project:
-
-* Vladimir Filimonov `@vfilimonov <https://github.com/vfilimonov>`_ 
-* Jordan Platts `@JordanPlatts <https://github.com/JordanPlatts>`_ 
-* Pascal Tomecek `@ptomecek <https://github.com/ptomecek>`_ 
-
-
-License
--------
-
-MIT
diff --git a/bt/__init__.py b/bt/__init__.py
index d30dd340..e7eaf8a4 100644
--- a/bt/__init__.py
+++ b/bt/__init__.py
@@ -1,13 +1,8 @@
-from . import core
-from . import algos
-from . import backtest
+import ffn
+from ffn import data, get, merge, utils
 
+from . import algos, backtest, core
 from .backtest import Backtest, run
-from .core import Strategy, Algo, AlgoStack, FixedIncomeStrategy
-from .core import Security, FixedIncomeSecurity, CouponPayingSecurity
-from .core import HedgeSecurity, CouponPayingHedgeSecurity
-
-import ffn
-from ffn import utils, data, get, merge
+from .core import Algo, AlgoStack, CouponPayingHedgeSecurity, CouponPayingSecurity, FixedIncomeSecurity, FixedIncomeStrategy, HedgeSecurity, Security, Strategy
 
-__version__ = (0, 2, 9)
+__version__ = "1.1.5"
diff --git a/bt/algos.py b/bt/algos.py
index 16d632ca..6dcd9f1c 100644
--- a/bt/algos.py
+++ b/bt/algos.py
@@ -1,16 +1,15 @@
 """
 A collection of Algos used to create Strategy logic.
 """
-from __future__ import division
 
 import abc
 import random
 import re
+import math
 
 import numpy as np
 import pandas as pd
 import sklearn.covariance
-from future.utils import iteritems
 
 import bt
 from bt.core import Algo, AlgoStack, SecurityBase, is_zero
@@ -27,7 +26,6 @@ def run_always(f):
 
 
 class PrintDate(Algo):
-
     """
     This Algo simply print's the current date.
 
@@ -40,7 +38,6 @@ def __call__(self, target):
 
 
 class PrintTempData(Algo):
-
     """
     This Algo prints the temp data.
 
@@ -65,7 +62,6 @@ def __call__(self, target):
 
 
 class PrintInfo(Algo):
-
     """
     Prints out info associated with the target strategy. Useful for debugging
     purposes.
@@ -94,7 +90,6 @@ def __call__(self, target):
 
 
 class Debug(Algo):
-
     """
     Utility Algo that calls pdb.set_trace when triggered.
 
@@ -110,7 +105,6 @@ def __call__(self, target):
 
 
 class RunOnce(Algo):
-
     """
     Returns True on first run then returns False.
 
@@ -138,9 +132,7 @@ def __call__(self, target):
 
 
 class RunPeriod(Algo):
-    def __init__(
-        self, run_on_first_date=True, run_on_end_of_period=False, run_on_last_date=False
-    ):
+    def __init__(self, run_on_first_date=True, run_on_end_of_period=False, run_on_last_date=False):
         super(RunPeriod, self).__init__()
         self._run_on_first_date = run_on_first_date
         self._run_on_end_of_period = run_on_end_of_period
@@ -175,7 +167,6 @@ def __call__(self, target):
             if self._run_on_last_date:
                 result = True
         else:
-
             # create pandas.Timestamp for useful .week,.quarter properties
             now = pd.Timestamp(now)
 
@@ -196,7 +187,6 @@ def compare_dates(self, now, date_to_compare):
 
 
 class RunDaily(RunPeriod):
-
     """
     Returns True on day change.
 
@@ -219,7 +209,6 @@ def compare_dates(self, now, date_to_compare):
 
 
 class RunWeekly(RunPeriod):
-
     """
     Returns True on week change.
 
@@ -242,7 +231,6 @@ def compare_dates(self, now, date_to_compare):
 
 
 class RunMonthly(RunPeriod):
-
     """
     Returns True on month change.
 
@@ -265,7 +253,6 @@ def compare_dates(self, now, date_to_compare):
 
 
 class RunQuarterly(RunPeriod):
-
     """
     Returns True on quarter change.
 
@@ -288,7 +275,6 @@ def compare_dates(self, now, date_to_compare):
 
 
 class RunYearly(RunPeriod):
-
     """
     Returns True on year change.
 
@@ -311,7 +297,6 @@ def compare_dates(self, now, date_to_compare):
 
 
 class RunOnDate(Algo):
-
     """
     Returns True on a specific set of dates.
 
@@ -336,7 +321,6 @@ def __call__(self, target):
 
 
 class RunAfterDate(Algo):
-
     """
     Returns True after a date has passed
 
@@ -363,7 +347,6 @@ def __call__(self, target):
 
 
 class RunAfterDays(Algo):
-
     """
     Returns True after a specific number of 'warmup' trading days have passed
 
@@ -392,7 +375,6 @@ def __call__(self, target):
 
 
 class RunIfOutOfBounds(Algo):
-
     """
     This algo returns true if any of the target weights deviate by an amount greater
     than tolerance. For example, it will be run if the tolerance is set to 0.5 and
@@ -429,9 +411,7 @@ def __call__(self, target):
                     return True
 
         if "cash" in target.temp:
-            cash_deviation = abs(
-                (target.capital - targets.value) / targets.value - target.temp["cash"]
-            )
+            cash_deviation = abs((target.capital - targets.value) / targets.value - target.temp["cash"])
             if cash_deviation > self.tolerance:
                 return True
 
@@ -439,7 +419,6 @@ def __call__(self, target):
 
 
 class RunEveryNPeriods(Algo):
-
     """
     This algo runs every n periods.
 
@@ -479,7 +458,6 @@ def __call__(self, target):
 
 
 class SelectAll(Algo):
-
     """
     Sets temp['selected'] with all securities (based on universe).
 
@@ -514,7 +492,6 @@ def __call__(self, target):
 
 
 class SelectThese(Algo):
-
     """
     Sets temp['selected'] with a set list of tickers.
 
@@ -548,7 +525,6 @@ def __call__(self, target):
 
 
 class SelectHasData(Algo):
-
     """
     Sets temp['selected'] based on all items in universe that meet
     data requirements.
@@ -617,7 +593,6 @@ def __call__(self, target):
 
 
 class SelectN(Algo):
-
     """
     Sets temp['selected'] based on ranking temp['stat'].
 
@@ -643,9 +618,7 @@ class SelectN(Algo):
 
     """
 
-    def __init__(
-        self, n, sort_descending=True, all_or_none=False, filter_selected=False
-    ):
+    def __init__(self, n, sort_descending=True, all_or_none=False, filter_selected=False):
         super(SelectN, self).__init__()
         if n < 0:
             raise ValueError("n cannot be negative")
@@ -676,7 +649,6 @@ def __call__(self, target):
 
 
 class SelectMomentum(AlgoStack):
-
     """
     Sets temp['selected'] based on a simple momentum filter.
 
@@ -719,7 +691,6 @@ def __init__(
 
 
 class SelectWhere(Algo):
-
     """
     Selects securities based on an indicator DataFrame.
 
@@ -779,7 +750,6 @@ def __call__(self, target):
 
 
 class SelectRandomly(AlgoStack):
-
     """
     Sets temp['selected'] based on a random subset of
     the items currently in temp['selected'].
@@ -839,7 +809,6 @@ def __call__(self, target):
 
 
 class SelectRegex(Algo):
-
     """
     Sets temp['selected'] based on a regex on their names.
     Useful when working with a large universe of different kinds of securities
@@ -866,7 +835,6 @@ def __call__(self, target):
 
 
 class ResolveOnTheRun(Algo):
-
     """
     Looks at securities set in temp['selected'] and searches for names that
     match the names of "aliases" for on-the-run securities in the provided
@@ -908,14 +876,11 @@ def __call__(self, target):
                 resolved = list(universe.index)
             else:
                 resolved = list(universe[universe > 0].index)
-        target.temp["selected"] = resolved + [
-            s for s in selected if s not in on_the_run.columns
-        ]
+        target.temp["selected"] = resolved + [s for s in selected if s not in on_the_run.columns]
         return True
 
 
 class SetStat(Algo):
-
     """
     Sets temp['stat'] for use by downstream algos (such as SelectN).
 
@@ -923,11 +888,14 @@ class SetStat(Algo):
         * stat (str|DataFrame): A dataframe of the same dimension as target.universe
           If a string is passed, frame is accessed using target.get_data
           This is the preferred way of using the algo.
+        * lag (DateOffset): Lag interval. The stat used today is the one calculated
+          at today - lag
     Sets:
         * stat
     """
 
-    def __init__(self, stat):
+    def __init__(self, stat, lag=pd.DateOffset(days=0)):
+        self.lag = lag
         if isinstance(stat, pd.DataFrame):
             self.stat_name = None
             self.stat = stat
@@ -940,12 +908,16 @@ def __call__(self, target):
             stat = self.stat
         else:
             stat = target.get_data(self.stat_name)
-        target.temp["stat"] = stat.loc[target.now]
+
+        t0 = target.now - self.lag
+        if t0 not in stat.index:
+            return False
+
+        target.temp["stat"] = stat.loc[t0]
         return True
 
 
 class StatTotalReturn(Algo):
-
     """
     Sets temp['stat'] with total returns over a given period.
 
@@ -974,13 +946,14 @@ def __init__(self, lookback=pd.DateOffset(months=3), lag=pd.DateOffset(days=0)):
     def __call__(self, target):
         selected = target.temp["selected"]
         t0 = target.now - self.lag
+        if target.universe[selected].index[0] > t0:
+            return False
         prc = target.universe.loc[t0 - self.lookback : t0, selected]
         target.temp["stat"] = prc.calc_total_return()
         return True
 
 
 class WeighEqually(Algo):
-
     """
     Sets temp['weights'] by calculating equal weights for all items in
     selected.
@@ -1012,7 +985,6 @@ def __call__(self, target):
 
 
 class WeighSpecified(Algo):
-
     """
     Sets temp['weights'] based on a provided dict of ticker:weights.
 
@@ -1037,7 +1009,6 @@ def __call__(self, target):
 
 
 class ScaleWeights(Algo):
-
     """
     Sets temp['weights'] based on a scaled version of itself.
     Useful for going short, or scaling up/down when using
@@ -1059,14 +1030,11 @@ def __init__(self, scale):
         self.scale = scale
 
     def __call__(self, target):
-        target.temp["weights"] = {
-            k: self.scale * w for k, w in iteritems(target.temp["weights"])
-        }
+        target.temp["weights"] = {k: self.scale * w for k, w in target.temp["weights"].items()}
         return True
 
 
 class WeighTarget(Algo):
-
     """
     Sets target weights based on a target weight DataFrame.
 
@@ -1120,7 +1088,6 @@ def __call__(self, target):
 
 
 class WeighInvVol(Algo):
-
     """
     Sets temp['weights'] based on the inverse volatility Algo.
 
@@ -1158,13 +1125,17 @@ def __call__(self, target):
 
         t0 = target.now - self.lag
         prc = target.universe.loc[t0 - self.lookback : t0, selected]
-        tw = bt.ffn.calc_inv_vol_weights(prc.to_returns().dropna())
+        returns = prc.to_returns().dropna()
+        # Explicit axis=0 to compute per-column std and avoid FutureWarning
+        # from pandas (axis=None will reduce over both axes in a future version)
+        vol = 1.0 / returns.std(axis=0, ddof=1)
+        vol[np.isinf(vol)] = np.nan
+        tw = vol / vol.sum()
         target.temp["weights"] = tw.dropna()
         return True
 
 
 class WeighERC(Algo):
-
     """
     Sets temp['weights'] based on equal risk contribution algorithm.
 
@@ -1213,7 +1184,6 @@ def __init__(
         tolerance=1e-8,
         lag=pd.DateOffset(days=0),
     ):
-
         super(WeighERC, self).__init__()
         self.lookback = lookback
         self.initial_weights = initial_weights
@@ -1252,7 +1222,6 @@ def __call__(self, target):
 
 
 class WeighMeanVar(Algo):
-
     """
     Sets temp['weights'] based on mean-variance optimization.
 
@@ -1318,7 +1287,6 @@ def __call__(self, target):
 
 
 class WeighRandomly(Algo):
-
     """
     Sets temp['weights'] based on a random weight vector.
 
@@ -1367,7 +1335,6 @@ def __call__(self, target):
 
 
 class LimitDeltas(Algo):
-
     """
     Modifies temp['weights'] based on weight delta limits.
 
@@ -1426,7 +1393,6 @@ def __call__(self, target):
 
 
 class LimitWeights(Algo):
-
     """
     Modifies temp['weights'] based on weight limits.
 
@@ -1501,7 +1467,6 @@ def __init__(
         covar_method="standard",
         annualization_factor=252,
     ):
-
         super(TargetVol, self).__init__()
         self.target_volatility = target_volatility
         self.lookback = lookback
@@ -1510,7 +1475,6 @@ def __init__(
         self.annualization_factor = annualization_factor
 
     def __call__(self, target):
-
         current_weights = target.temp["weights"]
         selected = current_weights.keys()
 
@@ -1530,26 +1494,16 @@ def __call__(self, target):
         else:
             raise NotImplementedError("covar_method not implemented")
 
-        weights = pd.Series(
-            [current_weights[x] for x in covar.columns], index=covar.columns
-        )
+        weights = pd.Series([current_weights[x] for x in covar.columns], index=covar.columns)
 
-        vol = np.sqrt(
-            np.matmul(weights.values.T, np.matmul(covar.values, weights.values))
-            * self.annualization_factor
-        )
+        vol = np.sqrt(np.matmul(weights.values.T, np.matmul(covar.values, weights.values)) * self.annualization_factor)
 
-        # vol is too high
-        if vol > self.target_volatility:
-            mult = self.target_volatility / vol
-        # vol is too low
-        elif vol < self.target_volatility:
-            mult = self.target_volatility / vol
-        else:
-            mult = 1
+        if isinstance(self.target_volatility, (float, int)):
+            self.target_volatility = {k: self.target_volatility for k in target.temp["weights"].keys()}
 
         for k in target.temp["weights"].keys():
-            target.temp["weights"][k] = target.temp["weights"][k] * mult
+            if k in self.target_volatility.keys():
+                target.temp["weights"][k] = target.temp["weights"][k] * self.target_volatility[k] / vol
 
         return True
 
@@ -1578,7 +1532,6 @@ def __init__(
         covar_method="standard",
         annualization_factor=252,
     ):
-
         super(PTE_Rebalance, self).__init__()
         self.PTE_volatility_cap = PTE_volatility_cap
         self.target_weights = target_weights
@@ -1588,7 +1541,6 @@ def __init__(
         self.annualization_factor = annualization_factor
 
     def __call__(self, target):
-
         if target.now is None:
             return False
 
@@ -1630,10 +1582,7 @@ def __call__(self, target):
         else:
             raise NotImplementedError("covar_method not implemented")
 
-        PTE_vol = np.sqrt(
-            np.matmul(weights.values.T, np.matmul(covar.values, weights.values))
-            * self.annualization_factor
-        )
+        PTE_vol = np.sqrt(np.matmul(weights.values.T, np.matmul(covar.values, weights.values)) * self.annualization_factor)
 
         if pd.isnull(PTE_vol):
             return False
@@ -1647,7 +1596,6 @@ def __call__(self, target):
 
 
 class CapitalFlow(Algo):
-
     """
     Used to model capital flows. Flows can either be inflows or outflows.
 
@@ -1680,7 +1628,6 @@ def __call__(self, target):
 
 
 class CloseDead(Algo):
-
     """
     Closes all positions for which prices are equal to zero (we assume
     that these stocks are dead) and removes them from temp['weights'] if
@@ -1717,7 +1664,6 @@ def __call__(self, target):
 
 
 class SetNotional(Algo):
-
     """
     Sets the notional_value to use as the base for rebalancing for
     :class:`FixedIncomeStrategy <bt.core.FixedIncomeStrategy>` targets
@@ -1746,7 +1692,6 @@ def __call__(self, target):
 
 
 class Rebalance(Algo):
-
     """
     Rebalances capital based on temp['weights']
 
@@ -1799,6 +1744,7 @@ def __call__(self, target):
                 v = c.notional_value
             else:
                 v = c.value
+
             # if non-zero and non-null, we need to close it out
             if v != 0.0 and not np.isnan(v):
                 target.close(cname, update=False)
@@ -1809,7 +1755,7 @@ def __call__(self, target):
             base = base * (1 - target.temp["cash"])
 
         # Turn off updating while we rebalance each child
-        for item in iteritems(targets):
+        for item in targets.items():
             target.rebalance(item[1], child=item[0], base=base, update=False)
 
         # Now update
@@ -1819,7 +1765,6 @@ def __call__(self, target):
 
 
 class RebalanceOverTime(Algo):
-
     """
     Similar to Rebalance but rebalances to target
     weight over n periods.
@@ -1865,14 +1810,14 @@ def __call__(self, target):
             self._days_left = self.n
 
         # if _weights are not None, we have some work to do
-        if self._weights:
+        if self._weights is not None:
             tgt = {}
             # scale delta relative to # of periods left and set that as the new
             # target
-            for t in self._weights:
-                curr = target.children[t].weight if t in target.children else 0.0
-                dlt = (self._weights[t] - curr) / self._days_left
-                tgt[t] = curr + dlt
+            for cname in self._weights.keys():
+                curr = target.children[cname].weight if cname in target.children else 0.0
+                dlt = (self._weights[cname] - curr) / self._days_left
+                tgt[cname] = curr + dlt
 
             # mock weights and call real Rebalance
             target.temp["weights"] = tgt
@@ -1889,7 +1834,6 @@ def __call__(self, target):
 
 
 class Require(Algo):
-
     """
     Flow control Algo.
 
@@ -2003,12 +1947,7 @@ def __init__(self, include_types=(bt.core.Node,), exclude_types=()):
         self.exclude_types = exclude_types or (type(None),)
 
     def __call__(self, target):
-        selected = [
-            sec_name
-            for sec_name, sec in target.children.items()
-            if isinstance(sec, self.include_types)
-            and not isinstance(sec, self.exclude_types)
-        ]
+        selected = [sec_name for sec_name, sec in target.children.items() if isinstance(sec, self.include_types) and not isinstance(sec, self.exclude_types)]
         if "selected" in target.temp:
             selected = [s for s in selected if s in target.temp["selected"]]
         target.temp["selected"] = selected
@@ -2016,7 +1955,6 @@ def __call__(self, target):
 
 
 class ClosePositionsAfterDates(Algo):
-
     """
     Close positions on securities after a given date.
     This can be used to make sure positions on matured/redeemed securities are
@@ -2051,11 +1989,7 @@ def __call__(self, target):
         close_dates = target.get_data(self.close_dates)["date"]
         # Find securities that are candidate for closing
         sec_names = [
-            sec_name
-            for sec_name, sec in iteritems(target.children)
-            if isinstance(sec, SecurityBase)
-            and sec_name in close_dates.index
-            and sec_name not in target.perm["closed"]
+            sec_name for sec_name, sec in target.children.items() if isinstance(sec, SecurityBase) and sec_name in close_dates.index and sec_name not in target.perm["closed"]
         ]
 
         # Check whether closed
@@ -2073,7 +2007,6 @@ def __call__(self, target):
 
 
 class RollPositionsAfterDates(Algo):
-
     """
     Roll securities based on the provided map.
     This can be used for any securities which have "On-The-Run" and "Off-The-Run"
@@ -2105,11 +2038,7 @@ def __call__(self, target):
         transactions = {}
         # Find securities that are candidate for roll
         sec_names = [
-            sec_name
-            for sec_name, sec in iteritems(target.children)
-            if isinstance(sec, SecurityBase)
-            and sec_name in roll_data.index
-            and sec_name not in target.perm["rolled"]
+            sec_name for sec_name, sec in target.children.items() if isinstance(sec, SecurityBase) and sec_name in roll_data.index and sec_name not in target.perm["rolled"]
         ]
 
         # Calculate new transaction and close old position
@@ -2125,7 +2054,7 @@ def __call__(self, target):
                 target.close(sec_name, update=False)
 
         # Do all the new transactions at the end, to do any necessary aggregations first
-        for new_sec, quantity in iteritems(transactions):
+        for new_sec, quantity in transactions.items():
             target.transact(quantity, new_sec, update=False)
 
         # Now update
@@ -2135,7 +2064,6 @@ def __call__(self, target):
 
 
 class SelectActive(Algo):
-
     """
     Sets temp['selected'] based on filtering temp['selected'] to exclude
     those securities that have been closed or rolled after a certain date
@@ -2161,7 +2089,6 @@ def __call__(self, target):
 
 
 class ReplayTransactions(Algo):
-
     """
     Replay a list of transactions that were executed.
     This is useful for taking a blotter of actual trades that occurred,
@@ -2200,9 +2127,7 @@ def __call__(self, target):
         transactions = all_transactions[(timestamps > start) & (timestamps <= end)]
         for (_, security), transaction in transactions.iterrows():
             c = target[security]
-            c.transact(
-                transaction["quantity"], price=transaction["price"], update=False
-            )
+            c.transact(transaction["quantity"], price=transaction["price"], update=False)
 
         # Now update
         target.root.update(target.now)
@@ -2250,9 +2175,7 @@ def __call__(self, target):
 
         for (_, security), transaction in transactions.iterrows():
             c = target[security]
-            c.transact(
-                transaction["quantity"], price=transaction["price"], update=False
-            )
+            c.transact(transaction["quantity"], price=transaction["price"], update=False)
 
         # Now update
         target.root.update(target.now)
@@ -2263,7 +2186,7 @@ def __call__(self, target):
 def _get_unit_risk(security, data, index=None):
     try:
         unit_risks = data[security]
-        unit_risk = unit_risks.values[index]
+        unit_risk = unit_risks.iloc[index]
     except Exception:
         # No risk data, assume zero
         unit_risk = 0.0
@@ -2271,7 +2194,6 @@ def _get_unit_risk(security, data, index=None):
 
 
 class UpdateRisk(Algo):
-
     """
     Tracks a risk measure on all nodes of the strategy. To use this node, the
     ``additional_data`` argument on :class:`Backtest <bt.backtest.Backtest>` must
@@ -2297,16 +2219,16 @@ def __init__(self, measure, history=0):
         self.history = history
 
     def _setup_risk(self, target, set_history):
-        """ Setup risk attributes on the node in question """
+        """Setup risk attributes on the node in question"""
         target.risk = {}
         if set_history:
             target.risks = pd.DataFrame(index=target.data.index)
 
     def _setup_measure(self, target, set_history):
-        """ Setup a risk measure within the risk attributes on the node in question """
-        target.risk[self.measure] = np.NaN
+        """Setup a risk measure within the risk attributes on the node in question"""
+        target.risk[self.measure] = np.nan
         if set_history:
-            target.risks[self.measure] = np.NaN
+            target.risks[self.measure] = np.nan
 
     def _set_risk_recursive(self, target, depth, unit_risk_frame):
         set_history = depth < self.history
@@ -2342,7 +2264,6 @@ def __call__(self, target):
 
 
 class PrintRisk(Algo):
-
     """
     This Algo prints the risk data.
 
@@ -2412,15 +2333,11 @@ def __call__(self, target):
         securities = target.temp["selected"]
 
         # Get target risk
-        target_risk = np.array(
-            [self._get_target_risk(target, m) for m in self.measures]
-        )
+        target_risk = np.array([self._get_target_risk(target, m) for m in self.measures])
         if self.strategy is not None:
             # Add the target risk of the strategy to the risk of the target
             # (which contains existing hedges)
-            target_risk += np.array(
-                [self._get_target_risk(self.strategy, m) for m in self.measures]
-            )
+            target_risk += np.array([self._get_target_risk(self.strategy, m) for m in self.measures])
         # Turn target_risk into a column array
         target_risk = target_risk.reshape(len(self.measures), 1)
 
@@ -2429,16 +2346,11 @@ def __call__(self, target):
         for m in self.measures:
             d = target.get_data("unit_risk").get(m)
             if d is None:
-                raise ValueError(
-                    "unit_risk for %s not present in temp on %s"
-                    % (self.measure, target.name)
-                )
+                raise ValueError("unit_risk for %s not present in temp on %s" % (self.measure, target.name))
             i = d.index.get_loc(target.now)
             data.append((i, d))
 
-        hedge_risk = np.array(
-            [[_get_unit_risk(s, d, i) for (i, d) in data] for s in securities]
-        )
+        hedge_risk = np.array([[_get_unit_risk(s, d, i) for (i, d) in data] for s in securities])
 
         # Get hedge ratios
         if self.pseudo:
@@ -2453,3 +2365,62 @@ def __call__(self, target):
                 raise ValueError("%s has nan hedge notional" % security)
             target.transact(notional, security)
         return True
+
+
+class Margin(Algo):
+    """
+    Margin allows us to model margin lending using bt. It will periodically charge the strategy
+    a set interest rate and will liquidate its positions if it falls below a specified maintance
+    requirement
+
+    Args:
+        * rate (float): the margin interest rate. i.e: 0.05 -> 5%
+        * requirement (float): the maintenance requirement. The algorithm will liquidate the portfolio if the
+        equity in falls below this percentage.
+    """
+
+    def __init__(self, rate, requirement):
+        super().__init__(Margin.__name__)
+        self.rate = rate
+        self.requirement = requirement
+        self._last_date = None
+
+    def _daily_rate(self):
+        return math.pow(1 + self.rate, 1 / 365.25) - 1
+
+    def __call__(self, target):
+        if self._last_date is None:
+            self._last_date = target.now
+            return True
+
+        # how many days since we calculated interest
+        diff = target.now - self._last_date
+
+        # the margin amount is the difference
+        margin = -target.capital
+
+        if margin > 0:
+            # get the total value of this portfolio
+            port_val = 0
+            for child in target.children.values():
+                port_val += child.value
+
+            # calculate the interest on the margin
+            f = math.pow(1 + self._daily_rate(), diff.days) - 1
+            fee = margin * f
+
+            # charge it
+            target.adjust(-fee, fee=fee)
+
+            equity_ratio = target.value / port_val
+            # check and see if we are below our margin requirement
+            if equity_ratio < self.requirement:
+                max_value = target.value * (1 / self.requirement)
+
+                # liquidate
+                deficit = max_value - port_val
+                target.allocate(deficit / 2)
+
+        # update our date
+        self._last_date = target.now
+        return True
diff --git a/bt/backtest.py b/bt/backtest.py
index 73337a2b..682c1933 100644
--- a/bt/backtest.py
+++ b/bt/backtest.py
@@ -1,30 +1,39 @@
 """
 Contains backtesting logic and objects.
 """
-from __future__ import division
+
 from copy import deepcopy
-import bt
+
 import ffn
-import pandas as pd
 import numpy as np
-from matplotlib import pyplot as plt
+import pandas as pd
 import pyprind
+from matplotlib import pyplot as plt
+from tqdm import tqdm
 
+import bt
 
-def run(*backtests):
+
+def run(*backtests, progress_bar=None):
     """
     Runs a series of backtests and returns a Result
     object containing the results of the backtests.
 
     Args:
         * backtest (*list): List of backtests.
+        * progress_bar (bool): Show progress bar. Defaults to True unless
+          all backtests have progress_bar=False.
 
     Returns:
         Result
 
     """
+    # If progress_bar not explicitly set, derive from backtests' settings
+    if progress_bar is None:
+        progress_bar = any(getattr(bkt, "progress_bar", True) for bkt in backtests)
+
     # run each backtest
-    for bkt in backtests:
+    for bkt in tqdm(backtests, disable=not progress_bar):
         bkt.run()
 
     return Result(*backtests)
@@ -63,10 +72,10 @@ def benchmark_random(backtest, random_strategy, nsim=100):
 
     bts = []
     bts.append(backtest)
-    data = backtest.data
+    data = backtest.data.dropna()
 
     # create and run random backtests
-    for i in range(nsim):
+    for i in tqdm(range(nsim)):
         random_strategy.name = "random_%s" % i
         rbt = bt.Backtest(random_strategy, data)
         rbt.run()
@@ -80,7 +89,6 @@ def benchmark_random(backtest, random_strategy, nsim=100):
 
 
 class Backtest(object):
-
     """
     A Backtest combines a Strategy with data to
     produce a Result.
@@ -148,13 +156,9 @@ def __init__(
         progress_bar=False,
         additional_data=None,
     ):
-
         if data.columns.duplicated().any():
             cols = data.columns[data.columns.duplicated().tolist()].tolist()
-            raise Exception(
-                "data provided has some duplicate column names: \n%s \n"
-                "Please remove duplicates!" % cols
-            )
+            raise Exception("data provided has some duplicate column names: \n%s \nPlease remove duplicates!" % cols)
 
         # we want to reuse strategy logic - copy it!
         # basically strategy is a template
@@ -210,12 +214,12 @@ def _process_data(self, data, additional_data):
                     columns=old.columns,
                     index=[old.index[0] - pd.DateOffset(days=1)],
                 )
+                # Ensure dtypes match to avoid FutureWarning
+                empty_row = empty_row.astype(old.dtypes)
                 new = pd.concat([empty_row, old])
                 self.additional_data[k] = new
             elif isinstance(old, pd.Series) and old.index.equals(data.index):
-                empty_row = pd.Series(
-                    np.nan, index=[old.index[0] - pd.DateOffset(days=1)]
-                )
+                empty_row = pd.Series(np.nan, index=[old.index[0] - pd.DateOffset(days=1)], dtype=old.dtype)
                 new = pd.concat([empty_row, old])
                 self.additional_data[k] = new
 
@@ -273,14 +277,10 @@ def weights(self):
             return self._weights
         else:
             if self.strategy.fixed_income:
-                vals = pd.DataFrame(
-                    {x.full_name: x.notional_values for x in self.strategy.members}
-                )
+                vals = pd.DataFrame({x.full_name: x.notional_values for x in self.strategy.members})
                 vals = vals.div(self.strategy.notional_values, axis=0)
             else:
-                vals = pd.DataFrame(
-                    {x.full_name: x.values for x in self.strategy.members}
-                )
+                vals = pd.DataFrame({x.full_name: x.values for x in self.strategy.members})
                 vals = vals.div(self.strategy.values, axis=0)
             self._weights = vals
             return vals
@@ -307,9 +307,9 @@ def security_weights(self):
             for m in self.strategy.members:
                 if isinstance(m, bt.core.SecurityBase):
                     if self.strategy.fixed_income:
-                        m_values = m.notional_values
+                        m_values = m.notional_values.copy()
                     else:
-                        m_values = m.values
+                        m_values = m.values.copy()
                     if m.name in vals:
                         vals[m.name] += m_values
                     else:
@@ -341,7 +341,7 @@ def herfindahl_index(self):
         a given portfolio
         """
         w = self.security_weights
-        return (w ** 2).sum(axis=1)
+        return (w**2).sum(axis=1)
 
     @property
     def turnover(self):
@@ -368,7 +368,6 @@ def turnover(self):
 
 
 class Result(ffn.GroupStats):
-
     """
     Based on ffn's GroupStats with a few extra helper methods.
 
@@ -490,7 +489,7 @@ def plot_histogram(self, backtest=0, **kwds):
 
     def _get_backtest(self, backtest):
         # based on input order
-        if type(backtest) == int:
+        if isinstance(backtest, int):
             return self.backtest_list[backtest].name
 
         # default case assume ok
@@ -517,7 +516,6 @@ def get_transactions(self, strategy_name=None):
 
 
 class RandomBenchmarkResult(Result):
-
     """
     RandomBenchmarkResult expands on Result to add methods specific
     to random strategy benchmarking.
@@ -539,9 +537,7 @@ def __init__(self, *backtests):
         self.r_stats = self.stats.drop(self.base_name, axis=1)
         self.b_stats = self.stats[self.base_name]
 
-    def plot_histogram(
-        self, statistic="monthly_sharpe", figsize=(15, 5), title=None, bins=20, **kwargs
-    ):
+    def plot_histogram(self, statistic="monthly_sharpe", figsize=(15, 5), title=None, bins=20, **kwargs):
         """
         Plots the distribution of a given statistic. The histogram
         represents the distribution of the random strategies' statistic
@@ -561,9 +557,7 @@ def plot_histogram(
 
         """
         if statistic not in self.r_stats.index:
-            raise ValueError(
-                "Invalid statistic. Valid statistics" "are the statistics in self.stats"
-            )
+            raise ValueError("Invalid statistic. Valid statisticsare the statistics in self.stats")
 
         if title is None:
             title = "%s histogram" % statistic
@@ -602,17 +596,10 @@ class RenormalizedFixedIncomeResult(Result):
     def __init__(self, normalizing_value, *backtests):
         for backtest in backtests:
             if not backtest.strategy.fixed_income:
-                raise ValueError(
-                    "Cannot apply RenormalizedFixedIncomeResult "
-                    "because backtest %s is not on a fixed income "
-                    "strategy" % backtest.name
-                )
+                raise ValueError("Cannot apply RenormalizedFixedIncomeResult because backtest %s is not on a fixed income strategy" % backtest.name)
         if not isinstance(normalizing_value, dict):
             normalizing_value = {x.name: normalizing_value for x in backtests}
-        tmp = [
-            pd.DataFrame({x.name: self._price(x.strategy, normalizing_value[x.name])})
-            for x in backtests
-        ]
+        tmp = [pd.DataFrame({x.name: self._price(x.strategy, normalizing_value[x.name])}) for x in backtests]
         super(Result, self).__init__(*tmp)
         self.backtest_list = backtests
         self.backtests = {x.name: x for x in backtests}
diff --git a/bt/core.py b/bt/core.py
index eab871e0..43bd8e26 100644
--- a/bt/core.py
+++ b/bt/core.py
@@ -1,7 +1,6 @@
 """
 Contains the core building blocks of the framework.
 """
-from __future__ import division
 
 import math
 from copy import deepcopy
@@ -9,7 +8,6 @@
 import cython as cy
 import numpy as np
 import pandas as pd
-from future.utils import iteritems
 
 PAR = 100.0
 TOL = 1e-16
@@ -24,7 +22,6 @@ def is_zero(x):
 
 
 class Node(object):
-
     """
     The Node is the main building block in bt's tree structure design.
     Both StrategyBase and SecurityBase inherit Node. It contains the
@@ -77,7 +74,6 @@ class Node(object):
     _bidoffer_paid = cy.declare(cy.double)
 
     def __init__(self, name, parent=None, children=None):
-
         self.name = name
 
         # children helpers
@@ -85,6 +81,7 @@ def __init__(self, name, parent=None, children=None):
         self._lazy_children = {}
         self._universe_tickers = []
         self._childrenv = []  # Shortcut to self.children.values()
+        self._original_children_are_present = (children is not None) and (len(children) >= 1)
 
         # strategy children helpers
         self._has_strat_children = False
@@ -126,6 +123,19 @@ def __init__(self, name, parent=None, children=None):
         self._bidoffer_set = False
         self._bidoffer_paid = 0
 
+    @property
+    def data(self):
+        if getattr(self, "_data_ready", False):
+            self._sync_data()
+        return self._data
+
+    @data.setter
+    def data(self, value):
+        self._data = value
+
+    def _sync_data(self):
+        pass
+
     def __getitem__(self, key):
         return self.children[key]
 
@@ -138,11 +148,12 @@ def _add_children(self, children, dc):
         Args:
             dc (bool): Whether or not to deepcopy nodes before adding them.
         """
+        # if at least 1 children is specified
         if children is not None:
             if isinstance(children, dict):
                 # Preserve the names from the dictionary by renaming the nodes
                 tmp = []
-                for name, c in iteritems(children):
+                for name, c in children.items():
                     if isinstance(c, str):
                         tmp.append(name)
                     else:
@@ -153,11 +164,10 @@ def _add_children(self, children, dc):
                 children = tmp
 
             for c in children:
-
                 if dc:  # deepcopy object for possible later reuse
                     c = deepcopy(c)
 
-                if type(c) == str:
+                if isinstance(c, str):
                     if c in self._universe_tickers:
                         raise ValueError("Child %s already exists" % c)
 
@@ -312,9 +322,7 @@ def to_dot(self, root=True):
         Represent the node structure in DOT format.
         """
         name = lambda x: x.name or repr(self)  # noqa: E731
-        edges = "\n".join(
-            '\t"%s" -> "%s"' % (name(self), name(c)) for c in self.children.values()
-        )
+        edges = "\n".join('\t"%s" -> "%s"' % (name(self), name(c)) for c in self.children.values())
         below = "\n".join(c.to_dot(False) for c in self.children.values())
         body = "\n".join([edges, below]).rstrip()
         if root:
@@ -323,7 +331,6 @@ def to_dot(self, root=True):
 
 
 class StrategyBase(Node):
-
     """
     Strategy Node. Used to define strategy logic within a tree.
     A Strategy's role is to allocate capital to it's children
@@ -376,6 +383,7 @@ class StrategyBase(Node):
     _last_fee = cy.declare(cy.double)
     _paper_trade = cy.declare(cy.bint)
     bankrupt = cy.declare(cy.bint)
+    _last_chk = cy.declare(cy.bint)
 
     def __init__(self, name, children=None, parent=None):
         Node.__init__(self, name, children=children, parent=parent)
@@ -391,6 +399,8 @@ def __init__(self, name, children=None, parent=None):
         self._last_price = PAR
         self._last_fee = 0
 
+        self._last_chk = 0
+
         # default commission function
         self.commission_fn = self._dflt_comm_fn
 
@@ -478,10 +488,7 @@ def bidoffer_paid(self):
                 self.root.update(self.now, None)
             return self._bidoffer_paid
         else:
-            raise Exception(
-                "Bid/offer accounting not turned on: "
-                '"bidoffer" argument not provided during setup'
-            )
+            raise Exception('Bid/offer accounting not turned on: "bidoffer" argument not provided during setup')
 
     @property
     def bidoffers_paid(self):
@@ -493,10 +500,7 @@ def bidoffers_paid(self):
                 self.root.update(self.now, None)
             return self._bidoffers_paid.loc[: self.now]
         else:
-            raise Exception(
-                "Bid/offer accounting not turned on: "
-                '"bidoffer" argument not provided during setup'
-            )
+            raise Exception('Bid/offer accounting not turned on: "bidoffer" argument not provided during setup')
 
     @property
     def universe(self):
@@ -529,7 +533,13 @@ def outlays(self):
         """
         if self.root.stale:
             self.root.update(self.root.now, None)
-        return pd.DataFrame({x.name: x.outlays for x in self.securities})
+        outlays = pd.DataFrame()
+        for x in self.securities:
+            if x.name in outlays.columns:
+                outlays[x.name] += x.outlays
+            else:
+                outlays[x.name] = x.outlays
+        return outlays
 
     @property
     def positions(self):
@@ -540,10 +550,14 @@ def positions(self):
         if self.root.stale:
             self.root.update(self.root.now, None)
 
-        vals = pd.DataFrame(
-            {x.name: x.positions for x in self.members if isinstance(x, SecurityBase)}
-        )
-        self._positions = vals
+        vals = pd.DataFrame()
+        for x in self.members:
+            if isinstance(x, SecurityBase):
+                if x.name in vals.columns:
+                    vals[x.name] += x.positions
+                else:
+                    vals[x.name] = x.positions
+        self._positions = vals.fillna(0.0)
         return vals
 
     def setup(self, universe, **kwargs):
@@ -559,11 +573,7 @@ def setup(self, universe, **kwargs):
         # strategies as the "price" is just a reference
         # value and should not be used for capital allocation
         if self.fixed_income and not self.parent.fixed_income:
-            raise ValueError(
-                "Cannot have fixed income "
-                "strategy child (%s) of non-"
-                "fixed income strategy (%s)" % (self.name, self.parent.name)
-            )
+            raise ValueError("Cannot have fixed income strategy child (%s) of non-fixed income strategy (%s)" % (self.name, self.parent.name))
 
         # determine if needs paper trading
         # and setup if so
@@ -580,14 +590,16 @@ def setup(self, universe, **kwargs):
             self._paper = paper
 
         # setup universe
-        funiverse = universe
+        funiverse = universe.copy()
 
-        if self._universe_tickers:
+        # filter only if the node has any children specified as input,
+        # otherwise we use the full universe. If all children are strategies,
+        # funiverse will be empty, to signal that no other ticker should be
+        # used in addition to the strategies
+        if self._original_children_are_present:
             # if we have universe_tickers defined, limit universe to
             # those tickers
-            valid_filter = list(
-                set(universe.columns).intersection(self._universe_tickers)
-            )
+            valid_filter = list(set(universe.columns).intersection(self._universe_tickers))
 
             funiverse = universe[valid_filter].copy()
 
@@ -632,6 +644,8 @@ def setup(self, universe, **kwargs):
         if self.children is not None:
             [c.setup(universe, **kwargs) for c in self._childrenv]
 
+        self._data_ready = True
+
     def setup_from_parent(self, **kwargs):
         """
         Setup a strategy from the parent. Used when dynamically creating
@@ -657,6 +671,16 @@ def get_data(self, key):
         """
         return self._setup_kwargs[key]
 
+    def _sync_data(self):
+        self._data["price"] = self._prices
+        self._data["value"] = self._values
+        self._data["notional_value"] = self._notl_values
+        self._data["cash"] = self._cash
+        self._data["fees"] = self._fees
+        self._data["flows"] = self._all_flows
+        if self._bidoffer_set:
+            self._data["bidoffer_paid"] = self._bidoffers_paid
+
     @cy.locals(
         newpt=cy.bint,
         val=cy.double,
@@ -691,7 +715,7 @@ def update(self, date, data=None, inow=None):
             if self.now == 0:
                 inow = 0
             else:
-                inow = self.data.index.get_loc(date)
+                inow = self._data.index.get_loc(date)
 
         # update children if any and calculate value
         val = self._capital  # default if no children
@@ -709,6 +733,7 @@ def update(self, date, data=None, inow=None):
                 # avoid useless update call
                 if c._issec and not c._needupdate:
                     continue
+
                 c.update(date, data, inow)
                 val += c.value
                 # Strategies always have positive notional value
@@ -721,12 +746,7 @@ def update(self, date, data=None, inow=None):
         val += coupons
 
         if self.root == self:
-            if (
-                (val < 0)
-                and not self.bankrupt
-                and not self.fixed_income
-                and not is_zero(val)
-            ):
+            if (val < 0) and not self.bankrupt and not self.fixed_income and not is_zero(val):
                 # Declare a bankruptcy
                 self.bankrupt = True
                 self.flatten()
@@ -734,20 +754,16 @@ def update(self, date, data=None, inow=None):
         # update data if this value is different or
         # if now has changed - avoid all this if not since it
         # won't change
-        if (
-            newpt
-            or not is_zero(self._value - val)
-            or not is_zero(self._notl_value - notl_val)
-        ):
+        if newpt or not is_zero(self._value - val) or not is_zero(self._notl_value - notl_val):
             self._value = val
-            self._values.values[inow] = val
+            self._values.iloc[inow] = val
 
             self._notl_value = notl_val
-            self._notl_values.values[inow] = notl_val
+            self._notl_values.iloc[inow] = notl_val
 
             if self._bidoffer_set:
                 self._bidoffer_paid = bidoffer_paid
-                self._bidoffers_paid.values[inow] = bidoffer_paid
+                self._bidoffers_paid.iloc[inow] = bidoffer_paid
 
             if self.fixed_income:
                 # For notional weights, we compute additive return
@@ -765,12 +781,11 @@ def update(self, date, data=None, inow=None):
                             "Could not update %s on %s. Last notional value "
                             "was %s and pnl was %s. Therefore, "
                             "we are dividing by zero to obtain the pnl "
-                            "per unit notional for the period."
-                            % (self.name, self.now, self._last_notl_value, pnl)
+                            "per unit notional for the period." % (self.name, self.now, self._last_notl_value, pnl)
                         )
 
                 self._price = self._last_price + ret
-                self._prices.values[inow] = self._price
+                self._prices.iloc[inow] = self._price
 
             else:
                 bottom = self._last_value + self._net_flows
@@ -796,7 +811,7 @@ def update(self, date, data=None, inow=None):
                         )
 
                 self._price = self._last_price * (1 + ret)
-                self._prices.values[inow] = self._price
+                self._prices.iloc[inow] = self._price
 
         # update children weights
         if self.children:
@@ -825,9 +840,9 @@ def update(self, date, data=None, inow=None):
         # Cash should track the unallocated capital at the end of the day, so
         # we should update it every time we call "update".
         # Same for fees and flows
-        self._cash.values[inow] = self._capital
-        self._fees.values[inow] = self._last_fee
-        self._all_flows.values[inow] = self._net_flows
+        self._cash.iloc[inow] = self._capital
+        self._fees.iloc[inow] = self._last_fee
+        self._all_flows.iloc[inow] = self._net_flows
 
         # update paper trade if necessary
         if self._paper_trade:
@@ -837,7 +852,7 @@ def update(self, date, data=None, inow=None):
                 self._paper.update(date)
             # update price
             self._price = self._paper.price
-            self._prices.values[inow] = self._price
+            self._prices.iloc[inow] = self._price
 
     @cy.locals(amount=cy.double, update=cy.bint, flow=cy.bint, fees=cy.double)
     def adjust(self, amount, update=True, flow=True, fee=0.0):
@@ -997,6 +1012,7 @@ def rebalance(self, weight, child, base=np.nan, update=True):
         # allocate to child
         # figure out weight delta
         c = self.children[child]
+
         if self.fixed_income:
             # In fixed income strategies, the provided "base" value can be used
             # to upscale/downscale the notional_value of the strategy, whereas
@@ -1043,17 +1059,9 @@ def flatten(self):
         """
         # go right to base alloc
         if self.fixed_income:
-            [
-                c.transact(-c.position, update=False)
-                for c in self._childrenv
-                if c.position != 0
-            ]
+            [c.transact(-c.position, update=False) for c in self._childrenv if c.position != 0]
         else:
-            [
-                c.allocate(-c.value, update=False)
-                for c in self._childrenv
-                if c.value != 0
-            ]
+            [c.allocate(-c.value, update=False) for c in self._childrenv if c.value != 0]
 
         self.root.stale = True
 
@@ -1093,7 +1101,12 @@ def get_transactions(self):
         prc = pd.DataFrame({x.name: x.prices for x in self.securities}).unstack()
 
         # get security positions
-        positions = pd.DataFrame({x.name: x.positions for x in self.securities})
+        positions = pd.DataFrame()
+        for x in self.securities:
+            if x.name in positions.columns:
+                positions[x.name] += x.positions
+            else:
+                positions[x.name] = x.positions
         # trades are diff
         trades = positions.diff()
         # must adjust first row
@@ -1103,14 +1116,10 @@ def get_transactions(self):
 
         # Adjust prices for bid/offer paid if needed
         if self._bidoffer_set:
-            bidoffer = pd.DataFrame(
-                {x.name: x.bidoffers_paid for x in self.securities}
-            ).unstack()
+            bidoffer = pd.DataFrame({x.name: x.bidoffers_paid for x in self.securities}).unstack()
             prc += bidoffer / trades
 
-        res = pd.DataFrame({"price": prc, "quantity": trades}).dropna(
-            subset=["quantity"]
-        )
+        res = pd.DataFrame({"price": prc, "quantity": trades}).dropna(subset=["quantity"])
 
         # set names
         res.index.names = ["Security", "Date"]
@@ -1139,7 +1148,6 @@ def _create_child_if_needed(self, child):
 
 
 class SecurityBase(Node):
-
     """
     Security Node. Used to define a security within a tree.
     A Security's has no children. It simply models an asset that can be bought
@@ -1261,7 +1269,7 @@ def positions(self):
         TimeSeries of positions.
         """
         # if accessing and stale - update first
-        if self._needupdate:
+        if self._needupdate or self.now != self.parent.now:
             self.update(self.root.now)
         if self.root.stale:
             self.root.update(self.root.now, None)
@@ -1303,10 +1311,7 @@ def bidoffers(self):
                 self.update(self.root.now)
             return self._bidoffers.loc[: self.now]
         else:
-            raise Exception(
-                "Bid/offer accounting not turned on: "
-                '"bidoffer" argument not provided during setup'
-            )
+            raise Exception('Bid/offer accounting not turned on: "bidoffer" argument not provided during setup')
 
     @property
     def bidoffer_paid(self):
@@ -1331,10 +1336,7 @@ def bidoffers_paid(self):
                 self.root.update(self.root.now, None)
             return self._bidoffers_paid.loc[: self.now]
         else:
-            raise Exception(
-                "Bid/offer accounting not turned on: "
-                '"bidoffer" argument not provided during setup'
-            )
+            raise Exception('Bid/offer accounting not turned on: "bidoffer" argument not provided during setup')
 
     def setup(self, universe, **kwargs):
         """
@@ -1403,6 +1405,18 @@ def setup(self, universe, **kwargs):
             self.data["bidoffer_paid"] = 0.0
             self._bidoffers_paid = self.data["bidoffer_paid"]
 
+        self._data_ready = True
+
+    def _sync_data(self):
+        if not self._prices_set:
+            self._data["price"] = self._prices
+        self._data["value"] = self._values
+        self._data["notional_value"] = self._notl_values
+        self._data["position"] = self._positions
+        self._data["outlay"] = self._outlays
+        if self._bidoffer_set:
+            self._data["bidoffer_paid"] = self._bidoffers_paid
+
     @cy.locals(prc=cy.double)
     def update(self, date, data=None, inow=None):
         """
@@ -1420,7 +1434,7 @@ def update(self, date, data=None, inow=None):
             if date == 0:
                 inow = 0
             else:
-                inow = self.data.index.get_loc(date)
+                inow = self._data.index.get_loc(date)
 
         # date change - update price
         if date != self.now:
@@ -1428,53 +1442,47 @@ def update(self, date, data=None, inow=None):
             self.now = date
 
             if self._prices_set:
-                self._price = self._prices.values[inow]
+                self._price = self._prices.iloc[inow]
             # traditional data update
             elif data is not None:
                 prc = data[self.name]
                 self._price = prc
-                self._prices.values[inow] = prc
+                self._prices.iloc[inow] = prc
 
             # update bid/offer
             if self._bidoffer_set:
-                self._bidoffer = self._bidoffers.values[inow]
+                self._bidoffer = self._bidoffers.iloc[inow]
                 self._bidoffer_paid = 0.0
 
-        self._positions.values[inow] = self._position
+        self._positions.iloc[inow] = self._position
         self._last_pos = self._position
 
         if np.isnan(self._price):
             if is_zero(self._position):
                 self._value = 0
             else:
-                raise Exception(
-                    "Position is open (non-zero: %s) and latest price is NaN "
-                    "for security %s on %s. Cannot update node value."
-                    % (self._position, self.name, date)
-                )
+                raise Exception("Position is open (non-zero: %s) and latest price is NaN for security %s on %s. Cannot update node value." % (self._position, self.name, date))
         else:
             self._value = self._position * self._price * self.multiplier
 
         self._notl_value = self._value
 
-        self._values.values[inow] = self._value
-        self._notl_values.values[inow] = self._notl_value
+        self._values.iloc[inow] = self._value
+        self._notl_values.iloc[inow] = self._notl_value
 
         if is_zero(self._weight) and is_zero(self._position):
             self._needupdate = False
 
         # save outlay to outlays
         if self._outlay != 0:
-            self._outlays.values[inow] += self._outlay
+            self._outlays.iloc[inow] += self._outlay
             # reset outlay back to 0
             self._outlay = 0
 
         if self._bidoffer_set:
-            self._bidoffers_paid.values[inow] = self._bidoffer_paid
+            self._bidoffers_paid.iloc[inow] = self._bidoffer_paid
 
-    @cy.locals(
-        amount=cy.double, update=cy.bint, q=cy.double, outlay=cy.double, i=cy.int
-    )
+    @cy.locals(amount=cy.double, update=cy.bint, q=cy.double, outlay=cy.double, i=cy.int)
     def allocate(self, amount, update=True):
         """
         This allocates capital to the Security. This is the method used to
@@ -1511,11 +1519,7 @@ def allocate(self, amount, update=True):
             raise Exception("Cannot allocate capital to a parentless security")
 
         if is_zero(self._price) or np.isnan(self._price):
-            raise Exception(
-                "Cannot allocate capital to "
-                "%s because price is %s as of %s"
-                % (self.name, self._price, self.parent.now)
-            )
+            raise Exception("Cannot allocate capital to %s because price is %s as of %s" % (self.name, self._price, self.parent.now))
 
         # buy/sell
         # determine quantity - must also factor in commission
@@ -1568,11 +1572,8 @@ def allocate(self, amount, update=True):
             i = 0
             last_q = q
             last_amount_short = full_outlay - amount
-            while not np.isclose(full_outlay, amount, rtol=0.0) and q != 0:
-
-                dq_wout_considering_tx_costs = (full_outlay - amount) / (
-                    self._price * self.multiplier
-                )
+            while not np.isclose(full_outlay, amount, rtol=TOL) and q != 0:
+                dq_wout_considering_tx_costs = (full_outlay - amount) / (self._price * self.multiplier)
                 q = q - dq_wout_considering_tx_costs
 
                 if self.integer_positions:
@@ -1585,7 +1586,6 @@ def allocate(self, amount, update=True):
                 # the outlay of q + 1 < amount. i.e. if we bought one more
                 # position then we wouldn't have enough cash
                 if self.integer_positions:
-
                     full_outlay_of_1_more, _, _, _ = self.outlay(q + 1)
 
                     if full_outlay < amount and full_outlay_of_1_more > amount:
@@ -1660,10 +1660,7 @@ def transact(self, q, update=True, update_self=True, price=None):
             return
 
         if price is not None and not self._bidoffer_set:
-            raise ValueError(
-                'Cannot transact at custom prices when "bidoffer" has '
-                "not been passed during setup to enable bid-offer tracking."
-            )
+            raise ValueError('Cannot transact at custom prices when "bidoffer" has not been passed during setup to enable bid-offer tracking.')
 
         # this security will need an update, even if pos is 0 (for example if
         # we close the positions, value and pos is 0, but still need to do that
@@ -1760,13 +1757,13 @@ def update(self, date, data=None, inow=None):
             if date == 0:
                 inow = 0
             else:
-                inow = self.data.index.get_loc(date)
+                inow = self._data.index.get_loc(date)
 
         super(FixedIncomeSecurity, self).update(date, data, inow)
 
         # For fixed income securities (bonds, swaps), notional value is position size, not value!
         self._notl_value = self._position
-        self._notl_values.values[inow] = self._notl_value
+        self._notl_values.iloc[inow] = self._notl_value
 
 
 class CouponPayingSecurity(FixedIncomeSecurity):
@@ -1830,9 +1827,7 @@ def setup(self, universe, **kwargs):
 
         # Handle coupons
         if "coupons" not in kwargs:
-            raise Exception(
-                '"coupons" must be passed to setup for a CouponPayingSecurity'
-            )
+            raise Exception('"coupons" must be passed to setup for a CouponPayingSecurity')
 
         try:
             self._coupons = kwargs["coupons"][self.name]
@@ -1857,6 +1852,12 @@ def setup(self, universe, **kwargs):
         self._coupon_income = self.data["coupon"]
         self._holding_costs = self.data["holding_cost"]
 
+    def _sync_data(self):
+        super(CouponPayingSecurity, self)._sync_data()
+        if hasattr(self, "_holding_costs"):
+            self._data["coupon"] = self._coupon_income
+            self._data["holding_cost"] = self._holding_costs
+
     @cy.locals(coupon=cy.double, cost=cy.double)
     def update(self, date, data=None, inow=None):
         """
@@ -1867,7 +1868,7 @@ def update(self, date, data=None, inow=None):
             if date == 0:
                 inow = 0
             else:
-                inow = self.data.index.get_loc(date)
+                inow = self._data.index.get_loc(date)
 
         if self._coupons is None:
             raise Exception("coupons have not been set for security %s" % self.name)
@@ -1875,7 +1876,7 @@ def update(self, date, data=None, inow=None):
         # Standard update
         super(CouponPayingSecurity, self).update(date, data, inow)
 
-        coupon = self._coupons.values[inow]
+        coupon = self._coupons.iloc[inow]
         # If we were to call self.parent.adjust, then all the child weights would
         # need to be updated. If each security pays a coupon, then this happens for
         # each child. Instead, we store the coupon on self._capital, and it gets
@@ -1885,35 +1886,29 @@ def update(self, date, data=None, inow=None):
             if is_zero(self._position):
                 self._coupon = 0.0
             else:
-                raise Exception(
-                    "Position is open (non-zero) and latest coupon is NaN "
-                    "for security %s on %s. Cannot update node value."
-                    % (self.name, date)
-                )
+                raise Exception("Position is open (non-zero) and latest coupon is NaN for security %s on %s. Cannot update node value." % (self.name, date))
         else:
             self._coupon = self._position * coupon
 
         if self._position > 0 and self._cost_long is not None:
-            cost = self._cost_long.values[inow]
+            cost = self._cost_long.iloc[inow]
             self._holding_cost = self._position * cost
         elif self._position < 0 and self._cost_short is not None:
-            cost = self._cost_short.values[inow]
+            cost = self._cost_short.iloc[inow]
             self._holding_cost = -self._position * cost
         else:
             self._holding_cost = 0.0
 
         self._capital = self._coupon - self._holding_cost
-        self._coupon_income.values[inow] = self._coupon
-        self._holding_costs.values[inow] = self._holding_cost
+        self._coupon_income.iloc[inow] = self._coupon
+        self._holding_costs.iloc[inow] = self._holding_cost
 
     @property
     def coupon(self):
         """
         Current coupon payment (scaled by position)
         """
-        if (
-            self.root.stale
-        ):  # Stale check needed because coupon paid depends on position
+        if self.root.stale:  # Stale check needed because coupon paid depends on position
             self.root.update(self.root.now, None)
         return self._coupon
 
@@ -1922,9 +1917,7 @@ def coupons(self):
         """
         TimeSeries of coupons paid (scaled by position)
         """
-        if (
-            self.root.stale
-        ):  # Stale check needed because coupon paid depends on position
+        if self.root.stale:  # Stale check needed because coupon paid depends on position
             self.root.update(self.root.now, None)
         return self._coupon_income.loc[: self.now]
 
@@ -1933,9 +1926,7 @@ def holding_cost(self):
         """
         Current holding cost (scaled by position)
         """
-        if (
-            self.root.stale
-        ):  # Stale check needed because coupon paid depends on position
+        if self.root.stale:  # Stale check needed because coupon paid depends on position
             self.root.update(self.root.now, None)
         return self._holding_cost
 
@@ -1944,9 +1935,7 @@ def holding_costs(self):
         """
         TimeSeries of coupons paid (scaled by position)
         """
-        if (
-            self.root.stale
-        ):  # Stale check needed because coupon paid depends on position
+        if self.root.stale:  # Stale check needed because coupon paid depends on position
             self.root.update(self.root.now, None)
         return self._holding_costs.loc[: self.now]
 
@@ -1969,7 +1958,7 @@ def update(self, date, data=None, inow=None):
         """
         super(HedgeSecurity, self).update(date, data, inow)
         self._notl_value = 0.0
-        self._notl_values.values.fill(0.0)
+        self._notl_values.iloc[:] = 0.0
 
 
 class CouponPayingHedgeSecurity(CouponPayingSecurity):
@@ -1990,11 +1979,10 @@ def update(self, date, data=None, inow=None):
         """
         super(CouponPayingHedgeSecurity, self).update(date, data, inow)
         self._notl_value = 0.0
-        self._notl_values.values.fill(0.0)
+        self._notl_values.iloc[:] = 0.0
 
 
 class Algo(object):
-
     """
     Algos are used to modularize strategy logic so that strategy logic becomes
     modular, composable, more testable and less error prone. Basically, the
@@ -2030,7 +2018,6 @@ def __call__(self, target):
 
 
 class AlgoStack(Algo):
-
     """
     An AlgoStack derives from Algo runs multiple Algos until a
     failure is encountered.
@@ -2071,7 +2058,6 @@ def __call__(self, target):
 
 
 class Strategy(StrategyBase):
-
     """
     Strategy expands on the StrategyBase and incorporates Algos.
 
diff --git a/docs/source/Buy_and_hold.ipynb b/docs/source/Buy_and_hold.ipynb
new file mode 120000
index 00000000..fbb1dbbd
--- /dev/null
+++ b/docs/source/Buy_and_hold.ipynb
@@ -0,0 +1 @@
+../../examples/buy_and_hold.ipynb
\ No newline at end of file
diff --git a/docs/source/Buy_and_hold.rst b/docs/source/Buy_and_hold.rst
new file mode 100644
index 00000000..1e95b222
--- /dev/null
+++ b/docs/source/Buy_and_hold.rst
@@ -0,0 +1,515 @@
+Buy and Hold Strategy
+---------------------
+
+.. code:: ipython3
+
+    import numpy as np
+    import pandas as pd
+    import matplotlib.pyplot as plt
+    
+    import ffn
+    import bt
+    
+    %matplotlib inline
+
+Create Fake Index Data
+~~~~~~~~~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    names = ['foo','bar','rf']
+    dates = pd.date_range(start='2017-01-01',end='2017-12-31', freq=pd.tseries.offsets.BDay())
+    n = len(dates)
+    rdf = pd.DataFrame(
+        np.zeros((n, len(names))),
+        index = dates,
+        columns = names
+    )
+    
+    np.random.seed(1)
+    rdf['foo'] = np.random.normal(loc = 0.1/n,scale=0.2/np.sqrt(n),size=n)
+    rdf['bar'] = np.random.normal(loc = 0.04/n,scale=0.05/np.sqrt(n),size=n)
+    rdf['rf'] = 0.
+    
+    pdf = 100*np.cumprod(1+rdf)
+    pdf.plot();
+
+
+
+.. image:: _static/Buy_and_hold_3_0.png
+   :class: pynb
+   :width: 377px
+   :height: 262px
+
+
+Build Strategy
+~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    # algo to fire on the beginning of every month and to run on the first date
+    runMonthlyAlgo = bt.algos.RunMonthly(
+        run_on_first_date=True
+    )
+    
+    # algo to set the weights
+    #  it will only run when runMonthlyAlgo returns true
+    #  which only happens on the first of every month
+    weights = pd.Series([0.6,0.4,0.],index = rdf.columns)
+    weighSpecifiedAlgo = bt.algos.WeighSpecified(**weights)
+    
+    # algo to rebalance the current weights to weights set by weighSpecified
+    #  will only run when weighSpecifiedAlgo returns true
+    #  which happens every time it runs
+    rebalAlgo = bt.algos.Rebalance()
+    
+    # a strategy that rebalances monthly to specified weights
+    strat = bt.Strategy('static',
+        [
+            runMonthlyAlgo,
+            weighSpecifiedAlgo,
+            rebalAlgo
+        ]
+    )
+
+Run Backtest
+~~~~~~~~~~~~
+
+Note: The logic of the strategy is seperate from the data used in the
+backtest.
+
+.. code:: ipython3
+
+    # set integer_positions=False when positions are not required to be integers(round numbers)
+    backtest = bt.Backtest(
+        strat,
+        pdf,
+        integer_positions=False
+    )
+    
+    res = bt.run(backtest)
+
+.. code:: ipython3
+
+    res.stats
+
+
+
+
+.. raw:: html
+
+    <div class="pynb-result">
+    <style scoped>
+        .dataframe tbody tr th:only-of-type {
+            vertical-align: middle;
+        }
+    
+        .dataframe tbody tr th {
+            vertical-align: top;
+        }
+    
+        .dataframe thead th {
+            text-align: right;
+        }
+    </style>
+    <table border="1" class="dataframe">
+      <thead>
+        <tr style="text-align: right;">
+          <th></th>
+          <th>static</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <th>start</th>
+          <td>2017-01-01 00:00:00</td>
+        </tr>
+        <tr>
+          <th>end</th>
+          <td>2017-12-29 00:00:00</td>
+        </tr>
+        <tr>
+          <th>rf</th>
+          <td>0.0</td>
+        </tr>
+        <tr>
+          <th>total_return</th>
+          <td>0.229372</td>
+        </tr>
+        <tr>
+          <th>cagr</th>
+          <td>0.231653</td>
+        </tr>
+        <tr>
+          <th>max_drawdown</th>
+          <td>-0.069257</td>
+        </tr>
+        <tr>
+          <th>calmar</th>
+          <td>3.344851</td>
+        </tr>
+        <tr>
+          <th>mtd</th>
+          <td>-0.000906</td>
+        </tr>
+        <tr>
+          <th>three_month</th>
+          <td>0.005975</td>
+        </tr>
+        <tr>
+          <th>six_month</th>
+          <td>0.142562</td>
+        </tr>
+        <tr>
+          <th>ytd</th>
+          <td>0.229372</td>
+        </tr>
+        <tr>
+          <th>one_year</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>three_year</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>five_year</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>ten_year</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>incep</th>
+          <td>0.231653</td>
+        </tr>
+        <tr>
+          <th>daily_sharpe</th>
+          <td>1.804549</td>
+        </tr>
+        <tr>
+          <th>daily_sortino</th>
+          <td>3.306154</td>
+        </tr>
+        <tr>
+          <th>daily_mean</th>
+          <td>0.206762</td>
+        </tr>
+        <tr>
+          <th>daily_vol</th>
+          <td>0.114578</td>
+        </tr>
+        <tr>
+          <th>daily_skew</th>
+          <td>0.012208</td>
+        </tr>
+        <tr>
+          <th>daily_kurt</th>
+          <td>-0.04456</td>
+        </tr>
+        <tr>
+          <th>best_day</th>
+          <td>0.020402</td>
+        </tr>
+        <tr>
+          <th>worst_day</th>
+          <td>-0.0201</td>
+        </tr>
+        <tr>
+          <th>monthly_sharpe</th>
+          <td>2.806444</td>
+        </tr>
+        <tr>
+          <th>monthly_sortino</th>
+          <td>15.352486</td>
+        </tr>
+        <tr>
+          <th>monthly_mean</th>
+          <td>0.257101</td>
+        </tr>
+        <tr>
+          <th>monthly_vol</th>
+          <td>0.091611</td>
+        </tr>
+        <tr>
+          <th>monthly_skew</th>
+          <td>0.753881</td>
+        </tr>
+        <tr>
+          <th>monthly_kurt</th>
+          <td>0.456278</td>
+        </tr>
+        <tr>
+          <th>best_month</th>
+          <td>0.073657</td>
+        </tr>
+        <tr>
+          <th>worst_month</th>
+          <td>-0.014592</td>
+        </tr>
+        <tr>
+          <th>yearly_sharpe</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>yearly_sortino</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>yearly_mean</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>yearly_vol</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>yearly_skew</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>yearly_kurt</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>best_year</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>worst_year</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>avg_drawdown</th>
+          <td>-0.016052</td>
+        </tr>
+        <tr>
+          <th>avg_drawdown_days</th>
+          <td>12.695652</td>
+        </tr>
+        <tr>
+          <th>avg_up_month</th>
+          <td>0.03246</td>
+        </tr>
+        <tr>
+          <th>avg_down_month</th>
+          <td>-0.008001</td>
+        </tr>
+        <tr>
+          <th>win_year_perc</th>
+          <td>NaN</td>
+        </tr>
+        <tr>
+          <th>twelve_month_win_perc</th>
+          <td>NaN</td>
+        </tr>
+      </tbody>
+    </table>
+    </div>
+
+
+
+.. code:: ipython3
+
+    res.prices.head()
+
+
+
+
+.. raw:: html
+
+    <div class="pynb-result">
+    <style scoped>
+        .dataframe tbody tr th:only-of-type {
+            vertical-align: middle;
+        }
+    
+        .dataframe tbody tr th {
+            vertical-align: top;
+        }
+    
+        .dataframe thead th {
+            text-align: right;
+        }
+    </style>
+    <table border="1" class="dataframe">
+      <thead>
+        <tr style="text-align: right;">
+          <th></th>
+          <th>static</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <th>2017-01-01</th>
+          <td>100.000000</td>
+        </tr>
+        <tr>
+          <th>2017-01-02</th>
+          <td>100.000000</td>
+        </tr>
+        <tr>
+          <th>2017-01-03</th>
+          <td>99.384719</td>
+        </tr>
+        <tr>
+          <th>2017-01-04</th>
+          <td>99.121677</td>
+        </tr>
+        <tr>
+          <th>2017-01-05</th>
+          <td>98.316364</td>
+        </tr>
+      </tbody>
+    </table>
+    </div>
+
+
+
+.. code:: ipython3
+
+    res.plot_security_weights()
+
+
+
+.. image:: _static/Buy_and_hold_10_0.png
+   :class: pynb
+   :width: 876px
+   :height: 297px
+
+
+Strategy value over time
+
+.. code:: ipython3
+
+    performanceStats = res['static']
+    #performance stats is an ffn object
+    res.backtest_list[0].strategy.values.plot();
+
+
+
+.. image:: _static/Buy_and_hold_12_0.png
+   :class: pynb
+   :width: 380px
+   :height: 259px
+
+
+Strategy Outlays
+
+Outlays are the total dollar amount spent(gained) by a purchase(sale) of
+securities.
+
+.. code:: ipython3
+
+    res.backtest_list[0].strategy.outlays.plot();
+
+
+
+.. image:: _static/Buy_and_hold_14_0.png
+   :class: pynb
+   :width: 395px
+   :height: 248px
+
+
+You can get the change in number of shares purchased a
+
+.. code:: ipython3
+
+    security_names = res.backtest_list[0].strategy.outlays.columns
+    
+    
+    res.backtest_list[0].strategy.outlays/pdf.loc[:,security_names]
+    res.backtest_list[0].positions.diff(1)
+    res.backtest_list[0].positions
+
+
+
+
+.. raw:: html
+
+    <div class="pynb-result">
+    <style scoped>
+        .dataframe tbody tr th:only-of-type {
+            vertical-align: middle;
+        }
+    
+        .dataframe tbody tr th {
+            vertical-align: top;
+        }
+    
+        .dataframe thead th {
+            text-align: right;
+        }
+    </style>
+    <table border="1" class="dataframe">
+      <thead>
+        <tr style="text-align: right;">
+          <th></th>
+          <th>foo</th>
+          <th>bar</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <th>2017-01-01</th>
+          <td>0.000000</td>
+          <td>0.000000</td>
+        </tr>
+        <tr>
+          <th>2017-01-02</th>
+          <td>5879.285683</td>
+          <td>3998.068018</td>
+        </tr>
+        <tr>
+          <th>2017-01-03</th>
+          <td>5879.285683</td>
+          <td>3998.068018</td>
+        </tr>
+        <tr>
+          <th>2017-01-04</th>
+          <td>5879.285683</td>
+          <td>3998.068018</td>
+        </tr>
+        <tr>
+          <th>2017-01-05</th>
+          <td>5879.285683</td>
+          <td>3998.068018</td>
+        </tr>
+        <tr>
+          <th>...</th>
+          <td>...</td>
+          <td>...</td>
+        </tr>
+        <tr>
+          <th>2017-12-25</th>
+          <td>5324.589093</td>
+          <td>4673.239436</td>
+        </tr>
+        <tr>
+          <th>2017-12-26</th>
+          <td>5324.589093</td>
+          <td>4673.239436</td>
+        </tr>
+        <tr>
+          <th>2017-12-27</th>
+          <td>5324.589093</td>
+          <td>4673.239436</td>
+        </tr>
+        <tr>
+          <th>2017-12-28</th>
+          <td>5324.589093</td>
+          <td>4673.239436</td>
+        </tr>
+        <tr>
+          <th>2017-12-29</th>
+          <td>5324.589093</td>
+          <td>4673.239436</td>
+        </tr>
+      </tbody>
+    </table>
+    <p>261 rows × 2 columns</p>
+    </div>
+
+
+
diff --git a/docs/source/ERC.ipynb b/docs/source/ERC.ipynb
new file mode 120000
index 00000000..a2a9848d
--- /dev/null
+++ b/docs/source/ERC.ipynb
@@ -0,0 +1 @@
+../../examples/ERC.ipynb
\ No newline at end of file
diff --git a/docs/source/ERC.rst b/docs/source/ERC.rst
new file mode 100644
index 00000000..ae73d7af
--- /dev/null
+++ b/docs/source/ERC.rst
@@ -0,0 +1,174 @@
+Equally Weighted Risk Contributions Portfolio
+---------------------------------------------
+
+.. code:: ipython3
+
+    import numpy as np
+    import pandas as pd
+    import matplotlib.pyplot as plt
+    
+    import ffn
+    import bt
+    
+    %matplotlib inline
+
+Create Fake Index Data
+~~~~~~~~~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    mean = np.array([0.05/252 + 0.02/252, 0.03/252 + 0.02/252])
+    volatility = np.array([0.2/np.sqrt(252), 0.05/np.sqrt(252)])
+    variance = np.power(volatility,2)
+    correlation = np.array(
+        [
+            [1, 0.25],
+            [0.25,1]
+        ]
+    )
+    covariance = np.zeros((2,2))
+    for i in range(len(variance)):
+        for j in range(len(variance)):
+            covariance[i,j] = correlation[i,j]*volatility[i]*volatility[j]
+    
+    covariance
+
+
+
+
+.. parsed-literal::
+   :class: pynb-result
+
+    array([[1.58730159e-04, 9.92063492e-06],
+           [9.92063492e-06, 9.92063492e-06]])
+
+
+
+.. code:: ipython3
+
+    names = ['foo','bar','rf']
+    dates = pd.date_range(start='2015-01-01',end='2018-12-31', freq=pd.tseries.offsets.BDay())
+    n = len(dates)
+    rdf = pd.DataFrame(
+        np.zeros((n, len(names))),
+        index = dates,
+        columns = names
+    )
+    
+    np.random.seed(1)
+    rdf.loc[:,['foo','bar']] = np.random.multivariate_normal(mean,covariance,size=n)
+    rdf['rf'] = 0.02/252
+    
+    pdf = 100*np.cumprod(1+rdf)
+    pdf.plot();
+
+
+
+.. image:: _static/ERC_4_0.png
+   :class: pynb
+   :width: 377px
+   :height: 262px
+
+
+Build and run ERC Strategy
+~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+You can read more about ERC here.
+http://thierry-roncalli.com/download/erc.pdf
+
+.. code:: ipython3
+
+    runAfterDaysAlgo = bt.algos.RunAfterDays(
+        20*6 + 1
+    )
+    
+    selectTheseAlgo = bt.algos.SelectThese(['foo','bar'])
+    
+    # algo to set the weights so each asset contributes the same amount of risk
+    #  with data over the last 6 months excluding yesterday
+    weighERCAlgo = bt.algos.WeighERC(
+        lookback=pd.DateOffset(days=20*6),
+        covar_method='standard',
+        risk_parity_method='slsqp',
+        maximum_iterations=1000,
+        tolerance=1e-9,
+        lag=pd.DateOffset(days=1)
+    )
+    
+    rebalAlgo = bt.algos.Rebalance()
+    
+    strat = bt.Strategy(
+        'ERC',
+        [
+            runAfterDaysAlgo,
+            selectTheseAlgo,
+            weighERCAlgo,
+            rebalAlgo
+        ]
+    )
+    
+    backtest = bt.Backtest(
+        strat,
+        pdf,
+        integer_positions=False
+    )
+    
+    res_target = bt.run(backtest)
+
+.. code:: ipython3
+
+    res_target.get_security_weights().plot();
+
+
+
+.. image:: _static/ERC_7_0.png
+   :class: pynb
+   :width: 373px
+   :height: 262px
+
+
+.. code:: ipython3
+
+    res_target.prices.plot();
+
+
+
+.. image:: _static/ERC_8_0.png
+   :class: pynb
+   :width: 376px
+   :height: 264px
+
+
+.. code:: ipython3
+
+    weights_target = res_target.get_security_weights().copy()
+    rolling_cov_target = pdf.loc[:,weights_target.columns].pct_change().rolling(window=252).cov()*252
+    
+    
+    trc_target = pd.DataFrame(
+        np.nan,
+        index = weights_target.index,
+        columns = weights_target.columns
+    )
+    
+    for dt in pdf.index:
+        trc_target.loc[dt,:] = weights_target.loc[dt,:].values*(rolling_cov_target.loc[dt,:].values@weights_target.loc[dt,:].values)/np.sqrt(weights_target.loc[dt,:].values@rolling_cov_target.loc[dt,:].values@weights_target.loc[dt,:].values)
+    
+    
+    fig, ax = plt.subplots(nrows=1,ncols=1)
+    trc_target.plot(ax=ax)
+    ax.set_title('Total Risk Contribution')
+    ax.plot();
+
+
+
+
+.. image:: _static/ERC_9_0.png
+   :class: pynb
+   :width: 386px
+   :height: 277px
+
+
+You can see the Total Risk Contribution is roughly equal from both
+assets.
+
diff --git a/docs/source/Fixed_Income.ipynb b/docs/source/Fixed_Income.ipynb
new file mode 120000
index 00000000..a42e32a5
--- /dev/null
+++ b/docs/source/Fixed_Income.ipynb
@@ -0,0 +1 @@
+../../examples/fixed_income.ipynb
\ No newline at end of file
diff --git a/docs/source/Fixed_Income.rst b/docs/source/Fixed_Income.rst
new file mode 100644
index 00000000..6ef11de3
--- /dev/null
+++ b/docs/source/Fixed_Income.rst
@@ -0,0 +1,963 @@
+Fixed Income Examples
+---------------------
+
+This example notebook illustrates some of the more sophisticated
+functionality of the package, especially related to fixed income
+securities and strategies. For fixed income strategies:
+
+-  capital allocations are not necessary, and initial capital is not
+   used
+-  bankruptcy is disabled (as money can always be borrowed at some rate,
+   potentially represented as another asset)
+-  weights are based off notional_value rather than value. For fixed
+   income securities, notional value is just the position. For non-fixed
+   income securities (i.e. equities), it is the market value of the
+   position.
+-  strategy notional_value is always positive, equal to the sum of the
+   magnitudes of the notional values of all its children
+-  strategy price is computed from additive PNL returns per unit of
+   notional_value, with a reference price of PAR
+-  “rebalancing” the portfolio adjusts notionals rather than capital
+   allocations based on weights
+
+Further to the above characteristics of fixed income strategies, we also
+demonstrate the usage of the following features which arise in these
+types of use case:
+
+-  Coupon paying securities (i.e. bonds)
+-  Handing of security lifecycle such as new issues and maturity
+-  Usage of “On-The-Run” instruments, and rolling of positions into the
+   “new” on-the-run security at pre-defined times
+-  Risk tracking/aggregation and hedging from pre-computed risk per unit
+   notional
+
+The notebook contains the following parts:
+
+0. **Setup**
+
+1. **Market data generation**
+
+   1. Rolling series of government bonds
+   2. Corporate bonds with spreads driven by a common factor
+
+2. **Example 1: Basic Strategies**
+
+   1. Weigh all active corporate bond equally
+   2. Add hedging of interest rates risk with the on-the-run government
+      bond
+
+3. **Example 2: Nested Strategies**
+
+   1. One strategy buys the top N bonds, by yield
+   2. Another strategy sells the bottom N bonds, by yield
+   3. Parent strategy gives 50% weight to each of the above
+   4. Add hedges of remaining interest rates risk with the on-the-run
+      government bond
+
+Setup
+~~~~~
+
+.. code:: ipython3
+
+    import bt
+    import pandas as pd
+    from pandas.tseries.frequencies import to_offset
+    import numpy as np
+    np.random.seed(1234)
+    %matplotlib inline
+
+.. code:: ipython3
+
+    # (Approximate) Price to yield calcs, and pvbp, for later use. Note we use clean price here.
+    def price_to_yield( p, ttm, coupon ):
+        return ( coupon + (100. - p)/ttm ) / ( ( 100. + p)/2. ) * 100
+    def yield_to_price( y, ttm, coupon ):
+        return (coupon + 100/ttm - 0.5 * y) / ( y/200 + 1/ttm)
+    def pvbp( y, ttm, coupon ):
+        return (yield_to_price( y + 0.01, ttm, coupon ) - yield_to_price( y, ttm, coupon ))
+
+.. code:: ipython3
+
+    # Utility function to set data frame values to nan before the security has been issued or after it has matured
+    def censor( data, ref_data ):
+        for bond in data:
+            data.loc[ (data.index > ref_data['mat_date'][bond]) | (data.index < ref_data['issue_date'][bond]), bond] = np.nan
+        return data.ffill(limit=1,axis=0) # Because bonds might mature during a gap in the index (i.e. on the weekend)
+
+.. code:: ipython3
+
+    # Backtesting timeline setup
+    start_date = pd.Timestamp('2020-01-01')
+    end_date = pd.Timestamp('2022-01-01')
+    timeline = pd.date_range( start_date, end_date, freq='B')
+
+Market Data Generation
+~~~~~~~~~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    # Government Bonds: Create synthetic data for a single series of rolling government bonds
+
+    # Reference Data
+    roll_freq = 'Q'
+    maturity = 10
+    coupon = 2.0
+    roll_dates = pd.date_range( start_date, end_date+to_offset(roll_freq), freq=roll_freq) # Go one period beyond the end date to be safe
+    issue_dates = roll_dates - roll_dates.freq
+    mat_dates = issue_dates + pd.offsets.DateOffset(years=maturity)
+    series_name = 'govt_10Y'
+    names = pd.Series(mat_dates).apply( lambda x : 'govt_%s' % x.strftime('%Y_%m'))
+    # Build a time series of OTR
+    govt_otr = pd.DataFrame( [ [ name for name, roll_date in zip(names, roll_dates) if roll_date >=d ][0] for d in timeline ],
+                            index=timeline,
+                            columns=[series_name])
+    # Create a data frame of reference data
+    govt_data = pd.DataFrame( {'mat_date':mat_dates, 'issue_date': issue_dates, 'roll_date':roll_dates}, index = names)
+    govt_data['coupon'] = coupon
+
+    # Create the "roll map"
+    govt_roll_map = govt_otr.copy()
+    govt_roll_map['target'] = govt_otr[series_name].shift(-1)
+    govt_roll_map = govt_roll_map[ govt_roll_map[series_name] != govt_roll_map['target']]
+    govt_roll_map['factor'] = 1.
+    govt_roll_map = govt_roll_map.reset_index().set_index(series_name).rename(columns={'index':'date'}).dropna()
+
+    # Market Data and Risk
+    govt_yield_initial = 2.0
+    govt_yield_vol = 1.
+    govt_yield = pd.DataFrame( columns = govt_data.index, index=timeline )
+    govt_yield_ts = (govt_yield_initial + np.cumsum( np.random.normal( 0., govt_yield_vol/np.sqrt(252), len(timeline)))).reshape(-1,1)
+    govt_yield.loc[:,:] = govt_yield_ts
+
+    govt_mat = pd.DataFrame( columns = govt_data.index, index=timeline, data=pd.NA ).astype('datetime64')
+    govt_mat.loc[:,:] = govt_data['mat_date'].values.T
+    govt_ttm = (govt_mat - timeline.values.reshape(-1,1))/pd.Timedelta('1Y')
+    govt_coupon = pd.DataFrame( columns = govt_data.index, index=timeline )
+    govt_coupon.loc[:,:] = govt_data['coupon'].values.T
+    govt_accrued = govt_coupon.multiply( timeline.to_series().diff()/pd.Timedelta('1Y'), axis=0 )
+    govt_accrued.iloc[0] = 0
+
+    govt_price = yield_to_price( govt_yield, govt_ttm, govt_coupon )
+    govt_price[ govt_ttm <= 0 ] = 100.
+    govt_price = censor(govt_price, govt_data)
+    govt_pvbp = pvbp( govt_yield, govt_ttm, govt_coupon)
+    govt_pvbp[ govt_ttm <= 0 ] = 0.
+    govt_pvbp = censor(govt_pvbp, govt_data)
+
+
+.. parsed-literal::
+   :class: pynb-result
+
+    /opt/homebrew/lib/python3.9/site-packages/IPython/core/interactiveshell.py:3397: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
+      exec(code_obj, self.user_global_ns, self.user_ns)
+
+
+.. code:: ipython3
+
+    # Corporate Bonds: Create synthetic data for a universe of corporate bonds
+
+    # Reference Data
+    n_corp = 50    # Number of corporate bonds to generate
+    avg_ttm = 10   # Average time to maturity, in years
+    coupon_mean = 5
+    coupon_std = 1.5
+    mat_dates = start_date + np.random.exponential(avg_ttm*365, n_corp).astype(int) * pd.offsets.Day()
+    issue_dates = np.minimum( mat_dates, end_date ) - np.random.exponential(avg_ttm*365, n_corp).astype(int) * pd.offsets.Day()
+    names = pd.Series( [ 'corp{:04d}'.format(i) for i in range(n_corp)])
+    coupons = np.random.normal( coupon_mean, coupon_std, n_corp ).round(3)
+    corp_data = pd.DataFrame( {'mat_date':mat_dates, 'issue_date': issue_dates, 'coupon':coupons}, index=names)
+
+    # Market Data and Risk
+    # Model: corporate yield = government yield + credit spread
+    # Model: credit spread changes = beta * common factor changes + idiosyncratic changes
+    corp_spread_initial = np.random.normal( 2, 1, len(corp_data) )
+    corp_betas_raw = np.random.normal( 1, 0.5, len(corp_data) )
+    corp_factor_vol = 0.5
+    corp_idio_vol = 0.5
+    corp_factor_ts = np.cumsum( np.random.normal( 0, corp_factor_vol/np.sqrt(252), len(timeline))).reshape(-1,1)
+    corp_idio_ts = np.cumsum( np.random.normal( 0, corp_idio_vol/np.sqrt(252), len(timeline))).reshape(-1,1)
+    corp_spread = corp_spread_initial + np.multiply( corp_factor_ts, corp_betas_raw ) + corp_idio_ts
+    corp_yield = govt_yield_ts + corp_spread
+    corp_yield = pd.DataFrame(  columns = corp_data.index, index=timeline, data = corp_yield )
+
+    corp_mat = pd.DataFrame( columns = corp_data.index, index=timeline, data=start_date )
+    corp_mat.loc[:,:] = corp_data['mat_date'].values.T
+    corp_ttm = (corp_mat - timeline.values.reshape(-1,1))/pd.Timedelta('1Y')
+    corp_coupon = pd.DataFrame( columns = corp_data.index, index=timeline )
+    corp_coupon.loc[:,:] = corp_data['coupon'].values.T
+    corp_accrued = corp_coupon.multiply( timeline.to_series().diff()/pd.Timedelta('1Y'), axis=0 )
+    corp_accrued.iloc[0] = 0
+
+    corp_price = yield_to_price( corp_yield, corp_ttm, corp_coupon )
+    corp_price[ corp_ttm <= 0 ] = 100.
+    corp_price = censor(corp_price, corp_data)
+
+    corp_pvbp = pvbp( corp_yield, corp_ttm, corp_coupon)
+    corp_pvbp[ corp_ttm <= 0 ] = 0.
+    corp_pvbp = censor(corp_pvbp, corp_data)
+
+    bidoffer_bps = 5.
+    corp_bidoffer = -bidoffer_bps * corp_pvbp
+
+    corp_betas = pd.DataFrame( columns = corp_data.index, index=timeline )
+    corp_betas.loc[:,:] = corp_betas_raw
+    corp_betas = censor(corp_betas, corp_data)
+
+
+.. parsed-literal::
+   :class: pynb-result
+
+    /opt/homebrew/lib/python3.9/site-packages/IPython/core/interactiveshell.py:3397: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version
+      exec(code_obj, self.user_global_ns, self.user_ns)
+
+
+Example 1: Basic Strategies
+~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    # Set up a strategy and a backtest
+
+    # The goal here is to define an equal weighted portfolio of corporate bonds,
+    # and to hedge the rates risk with the rolling series of government bonds
+
+    # Define Algo Stacks as the various building blocks
+    # Note that the order in which we execute these is extremely important
+
+    lifecycle_stack = bt.core.AlgoStack(
+        # Close any matured bond positions (including hedges)
+        bt.algos.ClosePositionsAfterDates( 'maturity' ),
+        # Roll government bond positions into the On The Run
+        bt.algos.RollPositionsAfterDates( 'govt_roll_map' ),
+    )
+    risk_stack = bt.AlgoStack(
+        # Specify how frequently to calculate risk
+        bt.algos.Or( [bt.algos.RunWeekly(),
+                      bt.algos.RunMonthly()] ),
+        # Update the risk given any positions that have been put on so far in the current step
+        bt.algos.UpdateRisk( 'pvbp', history=1),
+        bt.algos.UpdateRisk( 'beta', history=1),
+    )
+    hedging_stack = bt.AlgoStack(
+        # Specify how frequently to hedge risk
+        bt.algos.RunMonthly(),
+        # Select the "alias" for the on-the-run government bond...
+        bt.algos.SelectThese( [series_name], include_no_data = True ),
+        # ... and then resolve it to the underlying security for the given date
+        bt.algos.ResolveOnTheRun( 'govt_otr' ),
+        # Hedge out the pvbp risk using the selected government bond
+        bt.algos.HedgeRisks( ['pvbp']),
+        # Need to update risk again after hedging so that it gets recorded correctly (post-hedges)
+        bt.algos.UpdateRisk( 'pvbp', history=True),
+    )
+    debug_stack = bt.core.AlgoStack(
+        # Specify how frequently to display debug info
+        bt.algos.RunMonthly(),
+        bt.algos.PrintInfo('Strategy {name} : {now}.\tNotional:  {_notl_value:0.0f},\t Value: {_value:0.0f},\t Price: {_price:0.4f}'),
+        bt.algos.PrintRisk('Risk: \tPVBP: {pvbp:0.0f},\t Beta: {beta:0.0f}'),
+    )
+    trading_stack =bt.core.AlgoStack(
+             # Specify how frequently to rebalance the portfolio
+             bt.algos.RunMonthly(),
+             # Select instruments for rebalancing. Start with everything
+             bt.algos.SelectAll(),
+             # Prevent matured/rolled instruments from coming back into the mix
+             bt.algos.SelectActive(),
+             # Select only corp instruments
+             bt.algos.SelectRegex( 'corp' ),
+             # Specify how to weigh the securities
+             bt.algos.WeighEqually(),
+             # Set the target portfolio size
+             bt.algos.SetNotional( 'notional_value' ),
+             # Rebalance the portfolio
+             bt.algos.Rebalance()
+    )
+
+    govt_securities = [ bt.CouponPayingHedgeSecurity( name ) for name in govt_data.index]
+    corp_securities = [ bt.CouponPayingSecurity( name ) for name in corp_data.index ]
+    securities = govt_securities + corp_securities
+    base_strategy = bt.FixedIncomeStrategy('BaseStrategy', [ lifecycle_stack, bt.algos.Or( [trading_stack, risk_stack, debug_stack ] ) ], children = securities)
+    hedged_strategy = bt.FixedIncomeStrategy('HedgedStrategy', [ lifecycle_stack, bt.algos.Or( [trading_stack, risk_stack, hedging_stack, debug_stack ] ) ], children = securities)
+
+    #Collect all the data for the strategies
+
+    # Here we use clean prices as the data and accrued as the coupon. Could alternatively use dirty prices and cashflows.
+    data = pd.concat( [ govt_price, corp_price ], axis=1) / 100.  # Because we need prices per unit notional
+    additional_data = { 'coupons' : pd.concat([govt_accrued, corp_accrued], axis=1) / 100.,
+                       'bidoffer' : corp_bidoffer/100.,
+                       'notional_value' : pd.Series( data=1e6, index=data.index ),
+                       'maturity' : pd.concat([govt_data, corp_data], axis=0).rename(columns={"mat_date": "date"}),
+                       'govt_roll_map' : govt_roll_map,
+                       'govt_otr' : govt_otr,
+                       'unit_risk' : {'pvbp' : pd.concat( [ govt_pvbp, corp_pvbp] ,axis=1)/100.,
+                                      'beta' : corp_betas * corp_pvbp / 100.},
+                      }
+    base_test = bt.Backtest( base_strategy, data, 'BaseBacktest',
+                    initial_capital = 0,
+                    additional_data = additional_data )
+    hedge_test = bt.Backtest( hedged_strategy, data, 'HedgedBacktest',
+                    initial_capital = 0,
+                    additional_data = additional_data)
+    out = bt.run( base_test, hedge_test )
+
+
+.. parsed-literal::
+   :class: pynb-result
+
+    Strategy BaseStrategy : 2020-01-01 00:00:00.	Notional:  1000000,	 Value: -1644,	 Price: 99.8356
+    Risk: 	PVBP: -658,	 Beta: -659
+    Strategy BaseStrategy : 2020-02-03 00:00:00.	Notional:  1000000,	 Value: -6454,	 Price: 99.3546
+    Risk: 	PVBP: -642,	 Beta: -643
+    Strategy BaseStrategy : 2020-03-02 00:00:00.	Notional:  1000000,	 Value: -26488,	 Price: 97.3512
+    Risk: 	PVBP: -611,	 Beta: -613
+    Strategy BaseStrategy : 2020-04-01 00:00:00.	Notional:  1000000,	 Value: -20295,	 Price: 97.9705
+    Risk: 	PVBP: -607,	 Beta: -608
+    Strategy BaseStrategy : 2020-05-01 00:00:00.	Notional:  1000000,	 Value: -43692,	 Price: 95.6308
+    Risk: 	PVBP: -573,	 Beta: -574
+    Strategy BaseStrategy : 2020-06-01 00:00:00.	Notional:  1000000,	 Value: -41095,	 Price: 95.8905
+    Risk: 	PVBP: -566,	 Beta: -566
+    Strategy BaseStrategy : 2020-07-01 00:00:00.	Notional:  1000000,	 Value: -15724,	 Price: 98.4985
+    Risk: 	PVBP: -609,	 Beta: -608
+    Strategy BaseStrategy : 2020-08-03 00:00:00.	Notional:  1000000,	 Value: -22308,	 Price: 97.8400
+    Risk: 	PVBP: -587,	 Beta: -594
+    Strategy BaseStrategy : 2020-09-01 00:00:00.	Notional:  1000000,	 Value: 12832,	 Price: 101.4263
+    Risk: 	PVBP: -644,	 Beta: -650
+    Strategy BaseStrategy : 2020-10-01 00:00:00.	Notional:  1000000,	 Value: 35263,	 Price: 103.6965
+    Risk: 	PVBP: -683,	 Beta: -680
+    Strategy BaseStrategy : 2020-11-02 00:00:00.	Notional:  1000000,	 Value: 3702,	 Price: 100.5404
+    Risk: 	PVBP: -638,	 Beta: -646
+    Strategy BaseStrategy : 2020-12-01 00:00:00.	Notional:  1000000,	 Value: -18534,	 Price: 98.3168
+    Risk: 	PVBP: -606,	 Beta: -613
+    Strategy BaseStrategy : 2021-01-01 00:00:00.	Notional:  1000000,	 Value: -11054,	 Price: 99.0648
+    Risk: 	PVBP: -603,	 Beta: -609
+    Strategy BaseStrategy : 2021-02-01 00:00:00.	Notional:  1000000,	 Value: -16424,	 Price: 98.5537
+    Risk: 	PVBP: -602,	 Beta: -609
+    Strategy BaseStrategy : 2021-03-01 00:00:00.	Notional:  1000000,	 Value: -34462,	 Price: 96.6943
+    Risk: 	PVBP: -603,	 Beta: -586
+    Strategy BaseStrategy : 2021-04-01 00:00:00.	Notional:  1000000,	 Value: -23533,	 Price: 97.7872
+    Risk: 	PVBP: -603,	 Beta: -586
+    Strategy BaseStrategy : 2021-05-03 00:00:00.	Notional:  1000000,	 Value: -27024,	 Price: 97.4381
+    Risk: 	PVBP: -590,	 Beta: -574
+    Strategy BaseStrategy : 2021-06-01 00:00:00.	Notional:  1000000,	 Value: -50723,	 Price: 95.0682
+    Risk: 	PVBP: -558,	 Beta: -541
+    Strategy BaseStrategy : 2021-07-01 00:00:00.	Notional:  1000000,	 Value: -52714,	 Price: 94.8690
+    Risk: 	PVBP: -547,	 Beta: -528
+    Strategy BaseStrategy : 2021-08-02 00:00:00.	Notional:  1000000,	 Value: -53039,	 Price: 94.8067
+    Risk: 	PVBP: -550,	 Beta: -531
+    Strategy BaseStrategy : 2021-09-01 00:00:00.	Notional:  1000000,	 Value: -39027,	 Price: 96.2079
+    Risk: 	PVBP: -550,	 Beta: -524
+    Strategy BaseStrategy : 2021-10-01 00:00:00.	Notional:  1000000,	 Value: -2051,	 Price: 99.9002
+    Risk: 	PVBP: -588,	 Beta: -561
+    Strategy BaseStrategy : 2021-11-01 00:00:00.	Notional:  1000000,	 Value: -8616,	 Price: 99.2438
+    Risk: 	PVBP: -573,	 Beta: -544
+    Strategy BaseStrategy : 2021-12-01 00:00:00.	Notional:  1000000,	 Value: 53520,	 Price: 105.6538
+    Risk: 	PVBP: -656,	 Beta: -623
+    Strategy HedgedStrategy : 2020-01-01 00:00:00.	Notional:  1000000,	 Value: -1644,	 Price: 99.8356
+    Risk: 	PVBP: 0,	 Beta: -659
+    Strategy HedgedStrategy : 2020-02-03 00:00:00.	Notional:  1000000,	 Value: -10996,	 Price: 98.9004
+    Risk: 	PVBP: 0,	 Beta: -643
+    Strategy HedgedStrategy : 2020-03-02 00:00:00.	Notional:  1000000,	 Value: -16765,	 Price: 98.3235
+    Risk: 	PVBP: 0,	 Beta: -613
+    Strategy HedgedStrategy : 2020-04-01 00:00:00.	Notional:  1000000,	 Value: -21649,	 Price: 97.8351
+    Risk: 	PVBP: -0,	 Beta: -608
+    Strategy HedgedStrategy : 2020-05-01 00:00:00.	Notional:  1000000,	 Value: -33399,	 Price: 96.6601
+    Risk: 	PVBP: 0,	 Beta: -574
+    Strategy HedgedStrategy : 2020-06-01 00:00:00.	Notional:  1000000,	 Value: -22927,	 Price: 97.7073
+    Risk: 	PVBP: -0,	 Beta: -566
+    Strategy HedgedStrategy : 2020-07-01 00:00:00.	Notional:  1000000,	 Value: -14965,	 Price: 98.5366
+    Risk: 	PVBP: -0,	 Beta: -608
+    Strategy HedgedStrategy : 2020-08-03 00:00:00.	Notional:  1000000,	 Value: 5092,	 Price: 100.5423
+    Risk: 	PVBP: -0,	 Beta: -594
+    Strategy HedgedStrategy : 2020-09-01 00:00:00.	Notional:  1000000,	 Value: 22278,	 Price: 102.2828
+    Risk: 	PVBP: 0,	 Beta: -650
+    Strategy HedgedStrategy : 2020-10-01 00:00:00.	Notional:  1000000,	 Value: 13903,	 Price: 101.4286
+    Risk: 	PVBP: -0,	 Beta: -680
+    Strategy HedgedStrategy : 2020-11-02 00:00:00.	Notional:  1000000,	 Value: 12081,	 Price: 101.2464
+    Risk: 	PVBP: -0,	 Beta: -646
+    Strategy HedgedStrategy : 2020-12-01 00:00:00.	Notional:  1000000,	 Value: 10531,	 Price: 101.0914
+    Risk: 	PVBP: -0,	 Beta: -613
+    Strategy HedgedStrategy : 2021-01-01 00:00:00.	Notional:  1000000,	 Value: 12144,	 Price: 101.2528
+    Risk: 	PVBP: 0,	 Beta: -609
+    Strategy HedgedStrategy : 2021-02-01 00:00:00.	Notional:  1000000,	 Value: 15903,	 Price: 101.6469
+    Risk: 	PVBP: -0,	 Beta: -609
+    Strategy HedgedStrategy : 2021-03-01 00:00:00.	Notional:  1000000,	 Value: 11958,	 Price: 101.2204
+    Risk: 	PVBP: 0,	 Beta: -586
+    Strategy HedgedStrategy : 2021-04-01 00:00:00.	Notional:  1000000,	 Value: 28170,	 Price: 102.8417
+    Risk: 	PVBP: -0,	 Beta: -586
+    Strategy HedgedStrategy : 2021-05-03 00:00:00.	Notional:  1000000,	 Value: 34561,	 Price: 103.4807
+    Risk: 	PVBP: 0,	 Beta: -574
+    Strategy HedgedStrategy : 2021-06-01 00:00:00.	Notional:  1000000,	 Value: 29233,	 Price: 102.9479
+    Risk: 	PVBP: -0,	 Beta: -541
+    Strategy HedgedStrategy : 2021-07-01 00:00:00.	Notional:  1000000,	 Value: 10323,	 Price: 101.0569
+    Risk: 	PVBP: 0,	 Beta: -528
+    Strategy HedgedStrategy : 2021-08-02 00:00:00.	Notional:  1000000,	 Value: 14539,	 Price: 101.4646
+    Risk: 	PVBP: 0,	 Beta: -531
+    Strategy HedgedStrategy : 2021-09-01 00:00:00.	Notional:  1000000,	 Value: 10754,	 Price: 101.0860
+    Risk: 	PVBP: 0,	 Beta: -524
+    Strategy HedgedStrategy : 2021-10-01 00:00:00.	Notional:  1000000,	 Value: 32502,	 Price: 103.2515
+    Risk: 	PVBP: -0,	 Beta: -561
+    Strategy HedgedStrategy : 2021-11-01 00:00:00.	Notional:  1000000,	 Value: 24506,	 Price: 102.4519
+    Risk: 	PVBP: -0,	 Beta: -544
+    Strategy HedgedStrategy : 2021-12-01 00:00:00.	Notional:  1000000,	 Value: 42093,	 Price: 104.2905
+    Risk: 	PVBP: -0,	 Beta: -623
+
+
+.. code:: ipython3
+
+    # Extract Tear Sheet for base backtest
+    stats = out['BaseBacktest']
+    stats.display()
+
+
+.. parsed-literal::
+   :class: pynb-result
+
+    Stats for BaseBacktest from 2019-12-31 00:00:00 - 2021-12-31 00:00:00
+    Annual risk-free rate considered: 0.00%
+    Summary:
+    Total Return      Sharpe  CAGR    Max Drawdown
+    --------------  --------  ------  --------------
+    2.34%               0.19  1.16%   -10.64%
+
+    Annualized Returns:
+    mtd     3m     6m     ytd    1y     3y     5y    10y    incep.
+    ------  -----  -----  -----  -----  -----  ----  -----  --------
+    -3.06%  1.45%  8.12%  3.43%  3.43%  1.16%  -     -      1.16%
+
+    Periodic:
+            daily    monthly    yearly
+    ------  -------  ---------  --------
+    sharpe  0.19     0.18       0.38
+    mean    1.38%    1.49%      1.19%
+    vol     7.26%    8.35%      3.17%
+    skew    0.16     0.75       -
+    kurt    0.52     0.70       -
+    best    1.59%    6.32%      3.43%
+    worst   -1.44%   -3.29%     -1.05%
+
+    Drawdowns:
+    max      avg       # days
+    -------  ------  --------
+    -10.64%  -2.59%     79.22
+
+    Misc:
+    ---------------  ------
+    avg. up month    1.88%
+    avg. down month  -1.63%
+    up year %        50.00%
+    12m up %         57.14%
+    ---------------  ------
+
+
+.. code:: ipython3
+
+    # Extract Tear Sheet for hedged backtest
+    stats = out['HedgedBacktest']
+    stats.display()
+
+
+.. parsed-literal::
+   :class: pynb-result
+
+    Stats for HedgedBacktest from 2019-12-31 00:00:00 - 2021-12-31 00:00:00
+    Annual risk-free rate considered: 0.00%
+    Summary:
+    Total Return      Sharpe  CAGR    Max Drawdown
+    --------------  --------  ------  --------------
+    3.51%               0.41  1.74%   -3.87%
+
+    Annualized Returns:
+    mtd     3m      6m     ytd    1y     3y     5y    10y    incep.
+    ------  ------  -----  -----  -----  -----  ----  -----  --------
+    -0.47%  -0.30%  2.29%  2.46%  2.46%  1.74%  -     -      1.74%
+
+    Periodic:
+            daily    monthly    yearly
+    ------  -------  ---------  --------
+    sharpe  0.41     0.43       1.71
+    mean    1.75%    1.81%      1.74%
+    vol     4.26%    4.22%      1.02%
+    skew    -0.17    0.67       -
+    kurt    0.21     -0.46      -
+    best    0.69%    2.82%      2.46%
+    worst   -1.07%   -1.62%     1.02%
+
+    Drawdowns:
+    max     avg       # days
+    ------  ------  --------
+    -3.87%  -1.02%     49.57
+
+    Misc:
+    ---------------  -------
+    avg. up month    1.25%
+    avg. down month  -0.78%
+    up year %        100.00%
+    12m up %         85.71%
+    ---------------  -------
+
+
+.. code:: ipython3
+
+    # Total PNL time series values
+    pd.DataFrame( {'base':base_test.strategy.values, 'hedged':hedge_test.strategy.values} ).plot();
+
+
+
+.. image:: _static/Fixed_Income_13_0.png
+   :class: pynb
+   :width: 395px
+   :height: 262px
+
+
+.. code:: ipython3
+
+    # Total risk time series values
+    pd.DataFrame( {'base_pvbp':base_test.strategy.risks['pvbp'],
+                   'hedged_pvbp':hedge_test.strategy.risks['pvbp'],
+                   'beta':hedge_test.strategy.risks['beta']} ).dropna().plot();
+
+
+
+.. image:: _static/Fixed_Income_14_0.png
+   :class: pynb
+   :width: 383px
+   :height: 248px
+
+
+.. code:: ipython3
+
+    # Total bid/offer paid (same for both strategies)
+    pd.DataFrame( {'base_pvbp':base_test.strategy.bidoffers_paid,
+                   'hedged_pvbp':hedge_test.strategy.bidoffers_paid }).cumsum().dropna().plot();
+
+
+
+.. image:: _static/Fixed_Income_15_0.png
+   :class: pynb
+   :width: 383px
+   :height: 262px
+
+
+Example 2: Nested Strategies
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    # Set up a more complex strategy and a backtest
+
+    # The goal of the more complex strategy is to define two sub-strategies of corporate bonds
+    # - Highest yield bonds
+    # - Lowest yield bonds
+    # Then we will go long the high yield bonds, short the low yield bonds in equal weight
+    # Lastly we will hedge the rates risk with the government bond
+
+    govt_securities = [ bt.CouponPayingHedgeSecurity( name ) for name in govt_data.index]
+    corp_securities = [ bt.CouponPayingSecurity( name ) for name in corp_data.index ]
+
+    def get_algos( n, sort_descending ):
+        ''' Helper function to return the algos for long or short portfolio, based on top n yields'''
+        return [
+            # Close any matured bond positions
+            bt.algos.ClosePositionsAfterDates( 'corp_maturity' ),
+            # Specify how frequenty to rebalance
+            bt.algos.RunMonthly(),
+            # Select instruments for rebalancing. Start with everything
+            bt.algos.SelectAll(),
+            # Prevent matured/rolled instruments from coming back into the mix
+            bt.algos.SelectActive(),
+            # Set the stat to be used for selection
+            bt.algos.SetStat( 'corp_yield' ),
+            # Select the top N yielding bonds
+            bt.algos.SelectN( n, sort_descending, filter_selected=True ),
+            # Specify how to weigh the securities
+            bt.algos.WeighEqually(),
+            bt.algos.ScaleWeights(1. if sort_descending else -1.), # Determine long/short
+            # Set the target portfolio size
+            bt.algos.SetNotional( 'notional_value' ),
+            # Rebalance the portfolio
+            bt.algos.Rebalance(),
+        ]
+    bottom_algos = []
+    top_strategy = bt.FixedIncomeStrategy('TopStrategy', get_algos( 10, True ), children = corp_securities)
+    bottom_strategy = bt.FixedIncomeStrategy('BottomStrategy',get_algos( 10, False ), children = corp_securities)
+
+    risk_stack = bt.AlgoStack(
+        # Specify how frequently to calculate risk
+        bt.algos.Or( [bt.algos.RunWeekly(),
+                      bt.algos.RunMonthly()] ),
+        # Update the risk given any positions that have been put on so far in the current step
+        bt.algos.UpdateRisk( 'pvbp', history=2),
+        bt.algos.UpdateRisk( 'beta', history=2),
+    )
+    hedging_stack = bt.AlgoStack(
+        # Close any matured hedge positions (including hedges)
+        bt.algos.ClosePositionsAfterDates( 'govt_maturity' ),
+        # Roll government bond positions into the On The Run
+        bt.algos.RollPositionsAfterDates( 'govt_roll_map' ),
+        # Specify how frequently to hedge risk
+        bt.algos.RunMonthly(),
+        # Select the "alias" for the on-the-run government bond...
+        bt.algos.SelectThese( [series_name], include_no_data = True ),
+        # ... and then resolve it to the underlying security for the given date
+        bt.algos.ResolveOnTheRun( 'govt_otr' ),
+        # Hedge out the pvbp risk using the selected government bond
+        bt.algos.HedgeRisks( ['pvbp']),
+        # Need to update risk again after hedging so that it gets recorded correctly (post-hedges)
+        bt.algos.UpdateRisk( 'pvbp', history=2),
+    )
+    debug_stack = bt.core.AlgoStack(
+        # Specify how frequently to display debug info
+        bt.algos.RunMonthly(),
+        bt.algos.PrintInfo('{now}: End   {name}\tNotional:  {_notl_value:0.0f},\t Value: {_value:0.0f},\t Price: {_price:0.4f}'),
+        bt.algos.PrintRisk('Risk: \tPVBP: {pvbp:0.0f},\t Beta: {beta:0.0f}'),
+    )
+    trading_stack =bt.core.AlgoStack(
+        # Specify how frequently to rebalance the portfolio of sub-strategies
+        bt.algos.RunOnce(),
+        # Specify how to weigh the sub-strategies
+        bt.algos.WeighSpecified( TopStrategy=0.5, BottomStrategy=-0.5),
+        # Rebalance the portfolio
+        bt.algos.Rebalance()
+    )
+
+    children = [ top_strategy, bottom_strategy ] + govt_securities
+    base_strategy = bt.FixedIncomeStrategy('BaseStrategy', [ bt.algos.Or( [trading_stack, risk_stack, debug_stack ] ) ], children = children)
+    hedged_strategy = bt.FixedIncomeStrategy('HedgedStrategy', [ bt.algos.Or( [trading_stack, risk_stack, hedging_stack, debug_stack ] ) ], children = children)
+
+    # Here we use clean prices as the data and accrued as the coupon. Could alternatively use dirty prices and cashflows.
+    data = pd.concat( [ govt_price, corp_price ], axis=1) / 100.  # Because we need prices per unit notional
+    additional_data = { 'coupons' : pd.concat([govt_accrued, corp_accrued], axis=1) / 100., # Because we need coupons per unit notional
+                       'notional_value' : pd.Series( data=1e6, index=data.index ),
+                       'govt_maturity' : govt_data.rename(columns={"mat_date": "date"}),
+                       'corp_maturity' : corp_data.rename(columns={"mat_date": "date"}),
+                       'govt_roll_map' : govt_roll_map,
+                       'govt_otr' : govt_otr,
+                       'corp_yield' : corp_yield,
+                       'unit_risk' : {'pvbp' : pd.concat( [ govt_pvbp, corp_pvbp] ,axis=1)/100.,
+                                      'beta' : corp_betas * corp_pvbp / 100.},
+                      }
+    base_test = bt.Backtest( base_strategy, data, 'BaseBacktest',
+                    initial_capital = 0,
+                    additional_data = additional_data)
+    hedge_test = bt.Backtest( hedged_strategy, data, 'HedgedBacktest',
+                    initial_capital = 0,
+                    additional_data = additional_data)
+    out = bt.run( base_test, hedge_test )
+
+
+.. parsed-literal::
+   :class: pynb-result
+
+    2020-01-01 00:00:00: End   BaseStrategy	Notional:  0,	 Value: 0,	 Price: 100.0000
+    Risk: 	PVBP: 0,	 Beta: 0
+    2020-02-03 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 3277,	 Price: 100.1639
+    Risk: 	PVBP: 51,	 Beta: 41
+    2020-03-02 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 7297,	 Price: 100.3649
+    Risk: 	PVBP: 45,	 Beta: 34
+    2020-04-01 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 9336,	 Price: 100.4668
+    Risk: 	PVBP: 44,	 Beta: 34
+    2020-05-01 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 13453,	 Price: 100.6727
+    Risk: 	PVBP: 38,	 Beta: 28
+    2020-06-01 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 15887,	 Price: 100.7943
+    Risk: 	PVBP: 37,	 Beta: 26
+    2020-07-01 00:00:00: End   BaseStrategy	Notional:  1800000,	 Value: 16024,	 Price: 100.8010
+    Risk: 	PVBP: 39,	 Beta: 28
+    2020-08-03 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 14785,	 Price: 100.7391
+    Risk: 	PVBP: -152,	 Beta: -124
+    2020-09-01 00:00:00: End   BaseStrategy	Notional:  1800000,	 Value: 30310,	 Price: 101.5550
+    Risk: 	PVBP: -263,	 Beta: -204
+    2020-10-01 00:00:00: End   BaseStrategy	Notional:  1900000,	 Value: 35915,	 Price: 101.8430
+    Risk: 	PVBP: -109,	 Beta: -53
+    2020-11-02 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 37649,	 Price: 101.9297
+    Risk: 	PVBP: -12,	 Beta: 36
+    2020-12-01 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 39045,	 Price: 101.9995
+    Risk: 	PVBP: -13,	 Beta: 34
+    2021-01-01 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 40569,	 Price: 102.0758
+    Risk: 	PVBP: -14,	 Beta: 31
+    2021-02-01 00:00:00: End   BaseStrategy	Notional:  1900000,	 Value: 41228,	 Price: 102.1094
+    Risk: 	PVBP: -16,	 Beta: 27
+    2021-03-01 00:00:00: End   BaseStrategy	Notional:  1900000,	 Value: 38916,	 Price: 101.9868
+    Risk: 	PVBP: -101,	 Beta: -47
+    2021-04-01 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 40755,	 Price: 102.0788
+    Risk: 	PVBP: 9,	 Beta: -31
+    2021-05-03 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 43290,	 Price: 102.2055
+    Risk: 	PVBP: -6,	 Beta: -43
+    2021-06-01 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 35947,	 Price: 101.8384
+    Risk: 	PVBP: -235,	 Beta: -91
+    2021-07-01 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 35671,	 Price: 101.8246
+    Risk: 	PVBP: -123,	 Beta: -129
+    2021-08-02 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 37756,	 Price: 101.9288
+    Risk: 	PVBP: 3,	 Beta: -29
+    2021-09-01 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 38434,	 Price: 101.9627
+    Risk: 	PVBP: -7,	 Beta: -43
+    2021-10-01 00:00:00: End   BaseStrategy	Notional:  1900000,	 Value: 37082,	 Price: 101.8966
+    Risk: 	PVBP: 73,	 Beta: 19
+    2021-11-01 00:00:00: End   BaseStrategy	Notional:  2000000,	 Value: 39526,	 Price: 102.0187
+    Risk: 	PVBP: 51,	 Beta: 53
+    2021-12-01 00:00:00: End   BaseStrategy	Notional:  1900000,	 Value: 29228,	 Price: 101.4826
+    Risk: 	PVBP: 125,	 Beta: 97
+    2020-01-01 00:00:00: End   HedgedStrategy	Notional:  0,	 Value: 0,	 Price: 100.0000
+    Risk: 	PVBP: 0,	 Beta: 0
+    2020-02-03 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 3277,	 Price: 100.1639
+    Risk: 	PVBP: 0,	 Beta: 41
+    2020-03-02 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 6159,	 Price: 100.3079
+    Risk: 	PVBP: 0,	 Beta: 34
+    2020-04-01 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 9008,	 Price: 100.4504
+    Risk: 	PVBP: 0,	 Beta: 34
+    2020-05-01 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 12274,	 Price: 100.6137
+    Risk: 	PVBP: 0,	 Beta: 28
+    2020-06-01 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 14189,	 Price: 100.7094
+    Risk: 	PVBP: 0,	 Beta: 26
+    2020-07-01 00:00:00: End   HedgedStrategy	Notional:  1800000,	 Value: 15451,	 Price: 100.7752
+    Risk: 	PVBP: 0,	 Beta: 28
+    2020-08-03 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 12494,	 Price: 100.6273
+    Risk: 	PVBP: 0,	 Beta: -124
+    2020-09-01 00:00:00: End   HedgedStrategy	Notional:  1800000,	 Value: 23384,	 Price: 101.1967
+    Risk: 	PVBP: 0,	 Beta: -204
+    2020-10-01 00:00:00: End   HedgedStrategy	Notional:  1900000,	 Value: 16414,	 Price: 100.8372
+    Risk: 	PVBP: -0,	 Beta: -53
+    2020-11-02 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 22887,	 Price: 101.1609
+    Risk: 	PVBP: 0,	 Beta: 36
+    2020-12-01 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 24681,	 Price: 101.2506
+    Risk: 	PVBP: 0,	 Beta: 34
+    2021-01-01 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 26080,	 Price: 101.3205
+    Risk: 	PVBP: -0,	 Beta: 31
+    2021-02-01 00:00:00: End   HedgedStrategy	Notional:  1900000,	 Value: 26954,	 Price: 101.3647
+    Risk: 	PVBP: 0,	 Beta: 27
+    2021-03-01 00:00:00: End   HedgedStrategy	Notional:  1900000,	 Value: 25008,	 Price: 101.2611
+    Risk: 	PVBP: 0,	 Beta: -47
+    2021-04-01 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 27730,	 Price: 101.3972
+    Risk: 	PVBP: 0,	 Beta: -31
+    2021-05-03 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 30112,	 Price: 101.5163
+    Risk: 	PVBP: 0,	 Beta: -43
+    2021-06-01 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 22951,	 Price: 101.1582
+    Risk: 	PVBP: -0,	 Beta: -91
+    2021-07-01 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 15553,	 Price: 100.7884
+    Risk: 	PVBP: 0,	 Beta: -129
+    2021-08-02 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 18657,	 Price: 100.9436
+    Risk: 	PVBP: 0,	 Beta: -29
+    2021-09-01 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 19441,	 Price: 100.9827
+    Risk: 	PVBP: 0,	 Beta: -43
+    2021-10-01 00:00:00: End   HedgedStrategy	Notional:  1900000,	 Value: 17903,	 Price: 100.9072
+    Risk: 	PVBP: 0,	 Beta: 19
+    2021-11-01 00:00:00: End   HedgedStrategy	Notional:  2000000,	 Value: 20524,	 Price: 101.0383
+    Risk: 	PVBP: 0,	 Beta: 53
+    2021-12-01 00:00:00: End   HedgedStrategy	Notional:  1900000,	 Value: 14170,	 Price: 100.7071
+    Risk: 	PVBP: 0,	 Beta: 97
+
+
+.. code:: ipython3
+
+    # Total PNL time series values
+    pd.DataFrame( {'base':base_test.strategy.values,
+                   'hedged':hedge_test.strategy.values,
+                   'top':base_test.strategy['TopStrategy'].values,
+                   'bottom':base_test.strategy['BottomStrategy'].values}
+                ).plot();
+
+
+
+.. image:: _static/Fixed_Income_18_0.png
+   :class: pynb
+   :width: 395px
+   :height: 266px
+
+
+.. code:: ipython3
+
+    # Total pvbp time series values
+    pd.DataFrame( {'base':base_test.strategy.risks['pvbp'],
+                   'hedged':hedge_test.strategy.risks['pvbp'],
+                   'top':base_test.strategy['TopStrategy'].risks['pvbp'],
+                   'bottom':base_test.strategy['BottomStrategy'].risks['pvbp']}
+                ).dropna().plot();
+
+
+
+.. image:: _static/Fixed_Income_19_0.png
+   :class: pynb
+   :width: 383px
+   :height: 248px
+
+
+.. code:: ipython3
+
+    # Total beta time series values
+    pd.DataFrame( {'base':base_test.strategy.risks['beta'],
+                   'hedged':hedge_test.strategy.risks['beta'],
+                   'top':base_test.strategy['TopStrategy'].risks['beta'],
+                   'bottom':base_test.strategy['BottomStrategy'].risks['beta']}
+                ).dropna().plot();
+
+
+
+.. image:: _static/Fixed_Income_20_0.png
+   :class: pynb
+   :width: 383px
+   :height: 248px
+
+
+.. code:: ipython3
+
+    # "Price" time series values
+    pd.DataFrame( {'base':base_test.strategy.prices,
+                   'hedged':hedge_test.strategy.prices,
+                   'top':base_test.strategy['TopStrategy'].prices,
+                   'bottom':base_test.strategy['BottomStrategy'].prices}
+                ).plot();
+
+
+
+.. image:: _static/Fixed_Income_21_0.png
+   :class: pynb
+   :width: 377px
+   :height: 262px
+
+
+.. code:: ipython3
+
+    # Show transactions
+    out.get_transactions('HedgedBacktest').head(20)
+
+
+
+
+.. raw:: html
+
+    <div class="pynb-result">
+    <style scoped>
+        .dataframe tbody tr th:only-of-type {
+            vertical-align: middle;
+        }
+
+        .dataframe tbody tr th {
+            vertical-align: top;
+        }
+
+        .dataframe thead th {
+            text-align: right;
+        }
+    </style>
+    <table border="1" class="dataframe">
+      <thead>
+        <tr style="text-align: right;">
+          <th></th>
+          <th></th>
+          <th>price</th>
+          <th>quantity</th>
+        </tr>
+        <tr>
+          <th>Date</th>
+          <th>Security</th>
+          <th></th>
+          <th></th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <th rowspan="20" valign="top">2020-01-01</th>
+          <th>corp0000</th>
+          <td>1.009697</td>
+          <td>-100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0001</th>
+          <td>0.991417</td>
+          <td>100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0002</th>
+          <td>1.016553</td>
+          <td>-100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0005</th>
+          <td>1.035779</td>
+          <td>-100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0009</th>
+          <td>1.014195</td>
+          <td>100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0015</th>
+          <td>0.849097</td>
+          <td>100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0017</th>
+          <td>1.018107</td>
+          <td>-100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0018</th>
+          <td>1.009549</td>
+          <td>100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0019</th>
+          <td>0.908531</td>
+          <td>100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0023</th>
+          <td>1.216847</td>
+          <td>100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0024</th>
+          <td>1.094375</td>
+          <td>-100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0025</th>
+          <td>1.054762</td>
+          <td>-100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0030</th>
+          <td>0.888091</td>
+          <td>100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0032</th>
+          <td>1.086487</td>
+          <td>-100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0035</th>
+          <td>0.996676</td>
+          <td>100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0036</th>
+          <td>1.070212</td>
+          <td>-100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0037</th>
+          <td>0.992530</td>
+          <td>100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0044</th>
+          <td>0.959150</td>
+          <td>100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0048</th>
+          <td>0.987408</td>
+          <td>-100000.0</td>
+        </tr>
+        <tr>
+          <th>corp0049</th>
+          <td>1.016879</td>
+          <td>-100000.0</td>
+        </tr>
+      </tbody>
+    </table>
+    </div>
+
+
+
diff --git a/docs/source/PTE.ipynb b/docs/source/PTE.ipynb
new file mode 120000
index 00000000..f6bbbafc
--- /dev/null
+++ b/docs/source/PTE.ipynb
@@ -0,0 +1 @@
+../../examples/PTE.ipynb
\ No newline at end of file
diff --git a/docs/source/PTE.rst b/docs/source/PTE.rst
new file mode 100644
index 00000000..0ba10976
--- /dev/null
+++ b/docs/source/PTE.rst
@@ -0,0 +1,340 @@
+Predicted Tracking Error Rebalance Portfolio
+--------------------------------------------
+
+.. code:: ipython3
+
+    import numpy as np
+    import pandas as pd
+    import matplotlib.pyplot as plt
+    
+    import ffn
+    import bt
+    
+    %matplotlib inline
+
+Create Fake Index Data
+~~~~~~~~~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    names = ['foo','bar','rf']
+    dates = pd.date_range(start='2015-01-01',end='2018-12-31', freq=pd.tseries.offsets.BDay())
+    n = len(dates)
+    rdf = pd.DataFrame(
+        np.zeros((n, len(names))),
+        index = dates,
+        columns = names
+    )
+    
+    np.random.seed(1)
+    rdf['foo'] = np.random.normal(loc = 0.1/252,scale=0.2/np.sqrt(252),size=n)
+    rdf['bar'] = np.random.normal(loc = 0.04/252,scale=0.05/np.sqrt(252),size=n)
+    rdf['rf'] = 0.
+    
+    pdf = 100*np.cumprod(1+rdf)
+    pdf.plot();
+
+
+
+.. image:: _static/PTE_3_0.png
+   :class: pynb
+   :width: 377px
+   :height: 262px
+
+
+Build and run Target Strategy
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+I will first run a strategy that rebalances everyday.
+
+Then I will use those weights as target to rebalance to whenever the PTE
+is too high.
+
+.. code:: ipython3
+
+    selectTheseAlgo = bt.algos.SelectThese(['foo','bar'])
+    
+    # algo to set the weights to 1/vol contributions from each asset
+    #  with data over the last 3 months excluding yesterday
+    weighInvVolAlgo = bt.algos.WeighInvVol(
+        lookback=pd.DateOffset(months=3),
+        lag=pd.DateOffset(days=1)
+    )
+    
+    # algo to rebalance the current weights to weights set in target.temp
+    rebalAlgo = bt.algos.Rebalance()
+    
+    # a strategy that rebalances daily to 1/vol weights
+    strat = bt.Strategy(
+        'Target',
+        [
+            selectTheseAlgo,
+            weighInvVolAlgo,
+            rebalAlgo
+        ]
+    )
+    
+    # set integer_positions=False when positions are not required to be integers(round numbers)
+    backtest = bt.Backtest(
+        strat,
+        pdf,
+        integer_positions=False
+    )
+    
+    res_target = bt.run(backtest)
+
+.. code:: ipython3
+
+    res_target.get_security_weights().plot();
+
+
+
+.. image:: _static/PTE_6_0.png
+   :class: pynb
+   :width: 373px
+   :height: 262px
+
+
+Now use the PTE rebalance algo to trigger a rebalance whenever predicted
+tracking error is greater than 1%.
+
+.. code:: ipython3
+
+    # algo to fire whenever predicted tracking error is greater than 1%
+    wdf = res_target.get_security_weights()
+    
+    PTE_rebalance_Algo = bt.algos.PTE_Rebalance(
+        0.01,
+        wdf,
+        lookback=pd.DateOffset(months=3),
+        lag=pd.DateOffset(days=1),
+        covar_method='standard',
+        annualization_factor=252
+    )
+    
+    selectTheseAlgo = bt.algos.SelectThese(['foo','bar'])
+    
+    # algo to set the weights to 1/vol contributions from each asset
+    #  with data over the last 12 months excluding yesterday
+    weighTargetAlgo = bt.algos.WeighTarget(
+        wdf
+    )
+    
+    rebalAlgo = bt.algos.Rebalance()
+    
+    # a strategy that rebalances monthly to specified weights
+    strat = bt.Strategy(
+        'PTE',
+        [
+            PTE_rebalance_Algo,
+            selectTheseAlgo,
+            weighTargetAlgo,
+            rebalAlgo
+        ]
+    )
+    
+    # set integer_positions=False when positions are not required to be integers(round numbers)
+    backtest = bt.Backtest(
+        strat,
+        pdf,
+        integer_positions=False
+    )
+    
+    res_PTE = bt.run(backtest)
+
+.. code:: ipython3
+
+    fig, ax = plt.subplots(nrows=1,ncols=1)
+    res_target.get_security_weights().plot(ax=ax)
+    
+    realized_weights_df = res_PTE.get_security_weights()
+    realized_weights_df['PTE foo'] = realized_weights_df['foo']
+    realized_weights_df['PTE bar'] = realized_weights_df['bar']
+    realized_weights_df = realized_weights_df.loc[:,['PTE foo', 'PTE bar']]
+    realized_weights_df.plot(ax=ax)
+    
+    ax.set_title('Target Weights vs PTE Weights')
+    ax.plot();
+
+
+
+.. image:: _static/PTE_9_0.png
+   :class: pynb
+   :width: 373px
+   :height: 277px
+
+
+.. code:: ipython3
+
+    trans_df = pd.DataFrame(
+        index=res_target.prices.index,
+        columns=['Target','PTE']
+    )
+    
+    transactions = res_target.get_transactions()
+    transactions = (transactions['quantity'] * transactions['price']).reset_index()
+    
+    bar_mask = transactions.loc[:,'Security'] == 'bar'
+    foo_mask = transactions.loc[:,'Security'] == 'foo'
+    
+    trans_df.loc[trans_df.index[4:],'Target'] = np.abs(transactions[bar_mask].iloc[:,2].values) + np.abs(transactions[foo_mask].iloc[:,2].values)
+
+
+.. code:: ipython3
+
+    transactions = res_PTE.get_transactions()
+    transactions = (transactions['quantity'] * transactions['price']).reset_index()
+    
+    bar_mask = transactions.loc[:,'Security'] == 'bar'
+    foo_mask = transactions.loc[:,'Security'] == 'foo'
+    
+    trans_df.loc[transactions[bar_mask].iloc[:,0],'PTE'] =  np.abs(transactions[bar_mask].iloc[:,2].values)
+    trans_df.loc[transactions[foo_mask].iloc[:,0],'PTE'] +=  np.abs(transactions[foo_mask].iloc[:,2].values)
+
+
+.. code:: ipython3
+
+    trans_df = trans_df.fillna(0)
+
+.. code:: ipython3
+
+    fig, ax = plt.subplots(nrows=1,ncols=1)
+    trans_df.cumsum().plot(ax=ax)
+    ax.set_title('Cumulative sum of notional traded')
+    ax.plot();
+
+
+
+.. image:: _static/PTE_13_0.png
+   :class: pynb
+   :width: 373px
+   :height: 277px
+
+
+If we plot the total risk contribution of each asset class and divide by
+the total volatility, then we can see that both strategy’s contribute
+roughly similar amounts of volatility from both of the securities.
+
+.. code:: ipython3
+
+    weights_target = res_target.get_security_weights()
+    rolling_cov_target = pdf.loc[:,weights_target.columns].pct_change().rolling(window=3*20).cov()*252
+    
+    weights_PTE = res_PTE.get_security_weights().loc[:,weights_target.columns]
+    rolling_cov_PTE = pdf.loc[:,weights_target.columns].pct_change().rolling(window=3*20).cov()*252
+    
+    
+    trc_target = pd.DataFrame(
+        np.nan,
+        index = weights_target.index,
+        columns = weights_target.columns
+    )
+    
+    trc_PTE = pd.DataFrame(
+        np.nan,
+        index = weights_PTE.index,
+        columns = [x + " PTE" for x in weights_PTE.columns]
+    )
+    
+    for dt in pdf.index:
+        trc_target.loc[dt,:] = weights_target.loc[dt,:].values*(rolling_cov_target.loc[dt,:].values@weights_target.loc[dt,:].values)/np.sqrt(weights_target.loc[dt,:].values@rolling_cov_target.loc[dt,:].values@weights_target.loc[dt,:].values)
+        trc_PTE.loc[dt,:] = weights_PTE.loc[dt,:].values*(rolling_cov_PTE.loc[dt,:].values@weights_PTE.loc[dt,:].values)/np.sqrt(weights_PTE.loc[dt,:].values@rolling_cov_PTE.loc[dt,:].values@weights_PTE.loc[dt,:].values)
+    
+    
+    fig, ax = plt.subplots(nrows=1,ncols=1)
+    trc_target.plot(ax=ax)
+    trc_PTE.plot(ax=ax)
+    ax.set_title('Total Risk Contribution')
+    ax.plot();
+
+
+
+.. image:: _static/PTE_15_0.png
+   :class: pynb
+   :width: 386px
+   :height: 277px
+
+
+Looking at the Target strategy’s and PTE strategy’s Total Risk they are
+very similar.
+
+.. code:: ipython3
+
+    fig, ax = plt.subplots(nrows=1,ncols=1)
+    trc_target.sum(axis=1).plot(ax=ax,label='Target')
+    trc_PTE.sum(axis=1).plot(ax=ax,label='PTE')
+    ax.legend()
+    ax.set_title('Total Risk')
+    ax.plot();
+
+
+
+.. image:: _static/PTE_17_0.png
+   :class: pynb
+   :width: 380px
+   :height: 277px
+
+
+.. code:: ipython3
+
+    transactions = res_PTE.get_transactions()
+    transactions = (transactions['quantity'] * transactions['price']).reset_index()
+    
+    bar_mask = transactions.loc[:,'Security'] == 'bar'
+    dates_of_PTE_transactions = transactions[bar_mask].iloc[:,0]
+    dates_of_PTE_transactions
+
+
+
+
+.. parsed-literal::
+   :class: pynb-result
+
+    0    2015-01-06
+    2    2015-01-07
+    4    2015-01-08
+    6    2015-01-09
+    8    2015-01-12
+    10   2015-02-20
+    12   2015-04-07
+    14   2015-09-01
+    16   2017-03-23
+    18   2017-06-23
+    20   2017-10-24
+    Name: Date, dtype: datetime64[ns]
+
+
+
+.. code:: ipython3
+
+    fig, ax = plt.subplots(nrows=1,ncols=1)
+    np.sum(np.abs(trc_target.values - trc_PTE.values))
+        #.abs().sum(axis=1).plot()
+    
+    ax.set_title('Total Risk')
+    ax.plot(
+        trc_target.index,
+        np.sum(np.abs(trc_target.values - trc_PTE.values),axis=1),
+        label='PTE'
+    )
+    
+    for i,dt in enumerate(dates_of_PTE_transactions):
+        if i == 0:
+            ax.axvline(x=dt,color='red',label='PTE Transaction')
+        else:
+            ax.axvline(x=dt,color='red')
+    
+    ax.legend();
+
+
+
+
+.. image:: _static/PTE_19_0.png
+   :class: pynb
+   :width: 397px
+   :height: 266px
+
+
+We can see the Predicted Tracking Error of the PTE Strategy with each
+transaction marked.
+
diff --git a/docs/source/Strategy_Combination.ipynb b/docs/source/Strategy_Combination.ipynb
new file mode 120000
index 00000000..a410203b
--- /dev/null
+++ b/docs/source/Strategy_Combination.ipynb
@@ -0,0 +1 @@
+../../examples/Strategy_Combination.ipynb
\ No newline at end of file
diff --git a/docs/source/Strategy_Combination.rst b/docs/source/Strategy_Combination.rst
new file mode 100644
index 00000000..1eb0e1a4
--- /dev/null
+++ b/docs/source/Strategy_Combination.rst
@@ -0,0 +1,269 @@
+Strategy Combination
+--------------------
+
+This notebook creates a parent strategy(combined) with 2 child
+strategies(Equal Weight, Inv Vol).
+
+Alternatively, it creates the 2 child strategies, runs the backtest,
+combines the results, and creates a parent strategy using both of the
+backtests.
+
+.. code:: ipython3
+
+    import numpy as np
+    import pandas as pd
+    import matplotlib.pyplot as plt
+    
+    import ffn
+    import bt 
+    
+    %matplotlib inline
+
+Create fake data
+~~~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    rf = 0.04
+    np.random.seed(1)
+    mus = np.random.normal(loc=0.05,scale=0.02,size=5) + rf
+    sigmas = (mus - rf)/0.3 + np.random.normal(loc=0.,scale=0.01,size=5)
+    
+    num_years = 10
+    num_months_per_year = 12
+    num_days_per_month = 21
+    num_days_per_year = num_months_per_year*num_days_per_month
+    
+    rdf = pd.DataFrame(
+        index = pd.date_range(
+            start="2008-01-02",
+            periods=num_years*num_months_per_year*num_days_per_month,
+            freq="B"
+        ),
+        columns=['foo','bar','baz','fake1','fake2']
+    )
+    
+    for i,mu in enumerate(mus):
+        sigma = sigmas[i]
+        rdf.iloc[:,i] = np.random.normal(
+            loc=mu/num_days_per_year,
+            scale=sigma/np.sqrt(num_days_per_year),
+            size=rdf.shape[0]
+        )
+    pdf = np.cumprod(1+rdf)*100
+    pdf.iloc[0,:] = 100
+    
+    pdf.plot();
+
+
+
+.. image:: _static/Strategy_Combination_3_0.png
+   :class: pynb
+   :width: 376px
+   :height: 251px
+
+
+.. code:: ipython3
+
+    strategy_names = np.array(
+        [
+            'Equal Weight',
+            'Inv Vol'
+        ]
+    )
+    
+    runMonthlyAlgo = bt.algos.RunMonthly(
+        run_on_first_date=True,
+        run_on_end_of_period=True
+    )
+    selectAllAlgo = bt.algos.SelectAll()
+    rebalanceAlgo = bt.algos.Rebalance()
+    
+    strats = []
+    tests = []
+    
+    for i,s in enumerate(strategy_names):
+        if s == "Equal Weight":
+            wAlgo = bt.algos.WeighEqually()
+        elif s == "Inv Vol":
+            wAlgo = bt.algos.WeighInvVol()
+        
+        strat = bt.Strategy(
+            str(s),
+            [
+                runMonthlyAlgo,
+                selectAllAlgo,
+                wAlgo,
+                rebalanceAlgo
+            ]
+        )
+        strats.append(strat)
+            
+        t = bt.Backtest(
+            strat,
+            pdf,
+            integer_positions = False,
+            progress_bar=False
+        )
+        tests.append(t)
+
+.. code:: ipython3
+
+    combined_strategy = bt.Strategy(
+        'Combined',
+        algos = [
+            runMonthlyAlgo,
+            selectAllAlgo,
+            bt.algos.WeighEqually(),
+            rebalanceAlgo
+        ],
+        children = [x.strategy for x in tests]
+    )
+    
+    combined_test = bt.Backtest(
+        combined_strategy,
+        pdf,
+        integer_positions = False,
+        progress_bar = False
+    )
+    
+    res = bt.run(combined_test)
+
+.. code:: ipython3
+
+    res.prices.plot();
+
+
+
+.. image:: _static/Strategy_Combination_6_0.png
+   :class: pynb
+   :width: 376px
+   :height: 251px
+
+
+.. code:: ipython3
+
+    res.get_security_weights().plot();
+
+
+
+.. image:: _static/Strategy_Combination_7_0.png
+   :class: pynb
+   :width: 380px
+   :height: 253px
+
+
+In order to get the weights of each strategy, you can run each strategy,
+get the prices for each strategy, combine them into one price dataframe,
+run the combined strategy on the new data set.
+
+.. code:: ipython3
+
+    strategy_names = np.array(
+        [
+            'Equal Weight',
+            'Inv Vol'
+        ]
+    )
+    
+    runMonthlyAlgo = bt.algos.RunMonthly(
+        run_on_first_date=True,
+        run_on_end_of_period=True
+    )
+    selectAllAlgo = bt.algos.SelectAll()
+    rebalanceAlgo = bt.algos.Rebalance()
+    
+    strats = []
+    tests = []
+    results = []
+    
+    for i,s in enumerate(strategy_names):
+        if s == "Equal Weight":
+            wAlgo = bt.algos.WeighEqually()
+        elif s == "Inv Vol":
+            wAlgo = bt.algos.WeighInvVol()
+        
+        strat = bt.Strategy(
+            s,
+            [
+                runMonthlyAlgo,
+                selectAllAlgo,
+                wAlgo,
+                rebalanceAlgo
+            ]
+        )
+        strats.append(strat)
+            
+        t = bt.Backtest(
+            strat,
+            pdf,
+            integer_positions = False,
+            progress_bar=False
+        )
+        tests.append(t)
+        
+        res = bt.run(t)
+        results.append(res)
+
+
+.. code:: ipython3
+
+    fig, ax = plt.subplots(nrows=1,ncols=1)
+    for i,r in enumerate(results):
+        r.plot(ax=ax)
+
+
+
+.. image:: _static/Strategy_Combination_10_0.png
+   :class: pynb
+   :width: 879px
+   :height: 320px
+
+
+.. code:: ipython3
+
+    merged_prices_df = bt.merge(results[0].prices,results[1].prices)
+    
+    combined_strategy = bt.Strategy(
+        'Combined',
+        algos = [
+            runMonthlyAlgo,
+            selectAllAlgo,
+            bt.algos.WeighEqually(),
+            rebalanceAlgo
+        ]
+    )
+    
+    combined_test = bt.Backtest(
+        combined_strategy,
+        merged_prices_df,
+        integer_positions = False,
+        progress_bar = False
+    )
+    
+    res = bt.run(combined_test)
+
+.. code:: ipython3
+
+    res.plot();
+
+
+
+.. image:: _static/Strategy_Combination_12_0.png
+   :class: pynb
+   :width: 879px
+   :height: 320px
+
+
+.. code:: ipython3
+
+    res.get_security_weights().plot();
+
+
+
+.. image:: _static/Strategy_Combination_13_0.png
+   :class: pynb
+   :width: 373px
+   :height: 251px
+
+
diff --git a/docs/source/Target_Volatility.ipynb b/docs/source/Target_Volatility.ipynb
new file mode 120000
index 00000000..eed9a936
--- /dev/null
+++ b/docs/source/Target_Volatility.ipynb
@@ -0,0 +1 @@
+../../examples/Target_Volatility.ipynb
\ No newline at end of file
diff --git a/docs/source/Target_Volatility.rst b/docs/source/Target_Volatility.rst
new file mode 100644
index 00000000..c0183e5d
--- /dev/null
+++ b/docs/source/Target_Volatility.rst
@@ -0,0 +1,172 @@
+Target Volatility
+-----------------
+
+.. code:: ipython3
+
+    import numpy as np
+    import pandas as pd
+    import matplotlib.pyplot as plt
+    
+    import ffn
+    import bt
+    
+    %matplotlib inline
+
+Create Fake Index Data
+~~~~~~~~~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    names = ['foo','bar','rf']
+    dates = pd.date_range(start='2015-01-01',end='2018-12-31', freq=pd.tseries.offsets.BDay())
+    n = len(dates)
+    rdf = pd.DataFrame(
+        np.zeros((n, len(names))),
+        index = dates,
+        columns = names
+    )
+    
+    np.random.seed(1)
+    rdf['foo'] = np.random.normal(loc = 0.1/252,scale=0.2/np.sqrt(252),size=n)
+    rdf['bar'] = np.random.normal(loc = 0.04/252,scale=0.05/np.sqrt(252),size=n)
+    rdf['rf'] = 0.
+    
+    pdf = 100*np.cumprod(1+rdf)
+    pdf.plot();
+
+
+
+.. image:: _static/Target_Volatility_3_0.png
+   :class: pynb
+   :width: 377px
+   :height: 262px
+
+
+Build Strategy
+~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    # algo to fire on the beginning of every week and to run on the first date
+    runWeeklyAlgo = bt.algos.RunWeekly(
+        run_on_first_date=True
+    )
+    
+    selectTheseAlgo = bt.algos.SelectThese(['foo','bar'])
+    
+    # algo to set the weights to 1/vol contributions from each asset
+    #  with data over the last 12 months excluding yesterday
+    weighInvVolAlgo = bt.algos.WeighInvVol(
+        lookback=pd.DateOffset(months=12),
+        lag=pd.DateOffset(days=1)
+    )
+    
+    # algo to set overall volatility of the portfolio to an annualized 10%
+    targetVolAlgo = bt.algos.TargetVol(
+        0.1,
+        lookback=pd.DateOffset(months=12),
+        lag=pd.DateOffset(days=1),
+        covar_method='standard',
+        annualization_factor=252
+    )
+    
+    
+    # algo to rebalance the current weights to weights set in target.temp
+    rebalAlgo = bt.algos.Rebalance()
+    
+    # a strategy that rebalances monthly to specified weights
+    strat = bt.Strategy('static',
+        [
+            runWeeklyAlgo,
+            selectTheseAlgo,
+            weighInvVolAlgo,
+            targetVolAlgo,
+            rebalAlgo
+        ]
+    )
+
+Run Backtest
+~~~~~~~~~~~~
+
+Note: The logic of the strategy is seperate from the data used in the
+backtest.
+
+.. code:: ipython3
+
+    # set integer_positions=False when positions are not required to be integers(round numbers)
+    backtest = bt.Backtest(
+        strat,
+        pdf,
+        integer_positions=False
+    )
+    
+    res = bt.run(backtest)
+
+You can see the realized volatility below is close to the targeted 10%
+volatility.
+
+.. code:: ipython3
+
+    fig, ax = plt.subplots(nrows=1,ncols=1)
+    (res.prices.pct_change().rolling(window=12*20).std()*np.sqrt(252)).plot(ax = ax)
+    ax.set_title('Rolling Volatility')
+    ax.plot();
+
+
+
+.. image:: _static/Target_Volatility_9_0.png
+   :class: pynb
+   :width: 386px
+   :height: 277px
+
+
+Because we are using a 1/vol allocation bar, the less risky security,
+has a much smaller weight.
+
+.. code:: ipython3
+
+    fig, ax = plt.subplots(nrows=1,ncols=1)
+    res.get_security_weights().plot(ax = ax)
+    ax.set_title('Weights')
+    ax.plot();
+
+
+
+.. image:: _static/Target_Volatility_11_0.png
+   :class: pynb
+   :width: 374px
+   :height: 277px
+
+
+If we plot the total risk contribution of each asset class and divide by
+the total volatility, then we can see that both asset’s contribute
+roughly similar amounts of volatility.
+
+.. code:: ipython3
+
+    weights = res.get_security_weights()
+    rolling_cov = pdf.loc[:,weights.columns].pct_change().rolling(window=12*20).cov()*252
+    
+    
+    trc = pd.DataFrame(
+        np.nan,
+        index = weights.index,
+        columns = weights.columns
+    )
+    for dt in pdf.index:
+        trc.loc[dt,:] = weights.loc[dt,:].values*rolling_cov.loc[dt,:].values@weights.loc[dt,:].values/np.sqrt(weights.loc[dt,:].values@rolling_cov.loc[dt,:].values@weights.loc[dt,:].values)
+    
+    
+    fig, ax = plt.subplots(nrows=1,ncols=1)
+    trc.plot(ax=ax)
+    ax.set_title('% Total Risk Contribution')
+    ax.plot();
+
+
+
+.. image:: _static/Target_Volatility_13_0.png
+   :class: pynb
+   :width: 380px
+   :height: 277px
+
+
diff --git a/docs/source/Trend_1.ipynb b/docs/source/Trend_1.ipynb
new file mode 120000
index 00000000..69922ade
--- /dev/null
+++ b/docs/source/Trend_1.ipynb
@@ -0,0 +1 @@
+../../examples/trend_1.ipynb
\ No newline at end of file
diff --git a/docs/source/Trend_1.rst b/docs/source/Trend_1.rst
new file mode 100644
index 00000000..81574cc3
--- /dev/null
+++ b/docs/source/Trend_1.rst
@@ -0,0 +1,628 @@
+Trend Example 1
+---------------
+
+.. code:: ipython3
+
+    import matplotlib.pyplot as plt
+    import numpy as np
+    import pandas as pd
+    
+    import ffn
+    import bt
+    
+    %matplotlib inline
+
+Create fake data
+~~~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    rf = 0.04
+    np.random.seed(1)
+    mus = np.random.normal(loc=0.05,scale=0.02,size=5) + rf
+    sigmas = (mus - rf)/0.3 + np.random.normal(loc=0.,scale=0.01,size=5)
+    
+    num_years = 10
+    num_months_per_year = 12
+    num_days_per_month = 21
+    num_days_per_year = num_months_per_year*num_days_per_month
+    
+    rdf = pd.DataFrame(
+        index = pd.date_range(
+            start="2008-01-02",
+            periods=num_years*num_months_per_year*num_days_per_month,
+            freq="B"
+        ),
+        columns=['foo','bar','baz','fake1','fake2']
+    )
+    
+    for i,mu in enumerate(mus):
+        sigma = sigmas[i]
+        rdf.iloc[:,i] = np.random.normal(
+            loc=mu/num_days_per_year,
+            scale=sigma/np.sqrt(num_days_per_year),
+            size=rdf.shape[0]
+        )
+    pdf = np.cumprod(1+rdf)*100
+    
+    pdf.plot();
+
+
+
+.. image:: _static/Trend_1_3_0.png
+   :class: pynb
+   :width: 376px
+   :height: 251px
+
+
+Create Trend signal over the last 12 months
+~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
+
+.. code:: ipython3
+
+    sma  = pdf.rolling(window=num_days_per_month*12,center=False).median().shift(1)
+    plt.plot(pdf.index,pdf['foo'])
+    plt.plot(sma.index,sma['foo'])
+    plt.show()
+
+
+
+.. image:: _static/Trend_1_5_0.png
+   :class: pynb
+   :width: 384px
+   :height: 251px
+
+
+.. code:: ipython3
+
+    #sma with 1 day lag
+    sma.tail()
+
+
+
+
+.. raw:: html
+
+    <div class="pynb-result">
+    <style scoped>
+        .dataframe tbody tr th:only-of-type {
+            vertical-align: middle;
+        }
+    
+        .dataframe tbody tr th {
+            vertical-align: top;
+        }
+    
+        .dataframe thead th {
+            text-align: right;
+        }
+    </style>
+    <table border="1" class="dataframe">
+      <thead>
+        <tr style="text-align: right;">
+          <th></th>
+          <th>foo</th>
+          <th>bar</th>
+          <th>baz</th>
+          <th>fake1</th>
+          <th>fake2</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <th>2017-08-23</th>
+          <td>623.241267</td>
+          <td>340.774506</td>
+          <td>99.764885</td>
+          <td>263.491447</td>
+          <td>619.963986</td>
+        </tr>
+        <tr>
+          <th>2017-08-24</th>
+          <td>623.167989</td>
+          <td>341.096742</td>
+          <td>99.764885</td>
+          <td>263.502145</td>
+          <td>620.979948</td>
+        </tr>
+        <tr>
+          <th>2017-08-25</th>
+          <td>622.749149</td>
+          <td>341.316672</td>
+          <td>99.764885</td>
+          <td>263.502145</td>
+          <td>622.421401</td>
+        </tr>
+        <tr>
+          <th>2017-08-28</th>
+          <td>622.353039</td>
+          <td>341.494307</td>
+          <td>99.807732</td>
+          <td>263.517071</td>
+          <td>622.962579</td>
+        </tr>
+        <tr>
+          <th>2017-08-29</th>
+          <td>622.153294</td>
+          <td>341.662442</td>
+          <td>99.807732</td>
+          <td>263.517071</td>
+          <td>622.992416</td>
+        </tr>
+      </tbody>
+    </table>
+    </div>
+
+
+
+.. code:: ipython3
+
+    #sma with 0 day lag
+    pdf.rolling(window=num_days_per_month*12,center=False).median().tail()
+
+
+
+
+.. raw:: html
+
+    <div class="pynb-result">
+    <style scoped>
+        .dataframe tbody tr th:only-of-type {
+            vertical-align: middle;
+        }
+    
+        .dataframe tbody tr th {
+            vertical-align: top;
+        }
+    
+        .dataframe thead th {
+            text-align: right;
+        }
+    </style>
+    <table border="1" class="dataframe">
+      <thead>
+        <tr style="text-align: right;">
+          <th></th>
+          <th>foo</th>
+          <th>bar</th>
+          <th>baz</th>
+          <th>fake1</th>
+          <th>fake2</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <th>2017-08-23</th>
+          <td>623.167989</td>
+          <td>341.096742</td>
+          <td>99.764885</td>
+          <td>263.502145</td>
+          <td>620.979948</td>
+        </tr>
+        <tr>
+          <th>2017-08-24</th>
+          <td>622.749149</td>
+          <td>341.316672</td>
+          <td>99.764885</td>
+          <td>263.502145</td>
+          <td>622.421401</td>
+        </tr>
+        <tr>
+          <th>2017-08-25</th>
+          <td>622.353039</td>
+          <td>341.494307</td>
+          <td>99.807732</td>
+          <td>263.517071</td>
+          <td>622.962579</td>
+        </tr>
+        <tr>
+          <th>2017-08-28</th>
+          <td>622.153294</td>
+          <td>341.662442</td>
+          <td>99.807732</td>
+          <td>263.517071</td>
+          <td>622.992416</td>
+        </tr>
+        <tr>
+          <th>2017-08-29</th>
+          <td>621.907867</td>
+          <td>341.948212</td>
+          <td>99.807732</td>
+          <td>263.634283</td>
+          <td>624.310473</td>
+        </tr>
+      </tbody>
+    </table>
+    </div>
+
+
+
+.. code:: ipython3
+
+    # target weights
+    trend = sma.copy()
+    trend[pdf > sma] = True
+    trend[pdf <= sma] = False
+    trend[sma.isnull()] = False
+    trend.tail()
+
+
+
+
+.. raw:: html
+
+    <div class="pynb-result">
+    <style scoped>
+        .dataframe tbody tr th:only-of-type {
+            vertical-align: middle;
+        }
+    
+        .dataframe tbody tr th {
+            vertical-align: top;
+        }
+    
+        .dataframe thead th {
+            text-align: right;
+        }
+    </style>
+    <table border="1" class="dataframe">
+      <thead>
+        <tr style="text-align: right;">
+          <th></th>
+          <th>foo</th>
+          <th>bar</th>
+          <th>baz</th>
+          <th>fake1</th>
+          <th>fake2</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <th>2017-08-23</th>
+          <td>False</td>
+          <td>True</td>
+          <td>True</td>
+          <td>True</td>
+          <td>True</td>
+        </tr>
+        <tr>
+          <th>2017-08-24</th>
+          <td>False</td>
+          <td>True</td>
+          <td>True</td>
+          <td>True</td>
+          <td>True</td>
+        </tr>
+        <tr>
+          <th>2017-08-25</th>
+          <td>False</td>
+          <td>True</td>
+          <td>True</td>
+          <td>True</td>
+          <td>True</td>
+        </tr>
+        <tr>
+          <th>2017-08-28</th>
+          <td>False</td>
+          <td>True</td>
+          <td>True</td>
+          <td>True</td>
+          <td>True</td>
+        </tr>
+        <tr>
+          <th>2017-08-29</th>
+          <td>False</td>
+          <td>True</td>
+          <td>True</td>
+          <td>True</td>
+          <td>True</td>
+        </tr>
+      </tbody>
+    </table>
+    </div>
+
+
+
+Compare EW and 1/vol
+
+Both strategies rebalance daily using trend with 1 day lag and weights
+limited to 40%.
+
+.. code:: ipython3
+
+    
+    
+    tsmom_invvol_strat = bt.Strategy(
+        'tsmom_invvol',
+        [
+            bt.algos.RunDaily(),
+            bt.algos.SelectWhere(trend),
+            bt.algos.WeighInvVol(),
+            bt.algos.LimitWeights(limit=0.4),
+            bt.algos.Rebalance()
+        ]
+    )
+    
+    tsmom_ew_strat = bt.Strategy(
+        'tsmom_ew',
+        [
+            bt.algos.RunDaily(),
+            bt.algos.SelectWhere(trend),
+            bt.algos.WeighEqually(),
+            bt.algos.LimitWeights(limit=0.4),
+            bt.algos.Rebalance()
+        ]
+    )
+
+.. code:: ipython3
+
+    # create and run
+    tsmom_invvol_bt = bt.Backtest(
+        tsmom_invvol_strat,
+        pdf,
+        initial_capital=50000000.0,
+        commissions=lambda q, p: max(100, abs(q) * 0.0021),
+        integer_positions=False,
+        progress_bar=True
+    )
+    tsmom_invvol_res = bt.run(tsmom_invvol_bt)
+    
+    tsmom_ew_bt = bt.Backtest(
+        tsmom_ew_strat,
+        pdf,
+        
+        initial_capital=50000000.0,
+        commissions=lambda q, p: max(100, abs(q) * 0.0021),
+        integer_positions=False,
+        progress_bar=True
+    )
+    tsmom_ew_res = bt.run(tsmom_ew_bt)
+
+
+.. parsed-literal::
+   :class: pynb-result
+
+    tsmom_invvol
+    0% [############################# ] 100% | ETA: 00:00:00tsmom_ew
+    0% [############################# ] 100% | ETA: 00:00:00
+
+.. code:: ipython3
+
+    ax = plt.subplot()
+    ax.plot(tsmom_ew_res.prices.index,tsmom_ew_res.prices,label='EW')
+    pdf.plot(ax=ax)
+    
+    ax.legend()
+    plt.legend()
+    plt.show()
+
+
+
+
+.. image:: _static/Trend_1_12_0.png
+   :class: pynb
+   :width: 376px
+   :height: 240px
+
+
+.. code:: ipython3
+
+    tsmom_ew_res.stats
+
+
+
+
+.. raw:: html
+
+    <div class="pynb-result">
+    <style scoped>
+        .dataframe tbody tr th:only-of-type {
+            vertical-align: middle;
+        }
+    
+        .dataframe tbody tr th {
+            vertical-align: top;
+        }
+    
+        .dataframe thead th {
+            text-align: right;
+        }
+    </style>
+    <table border="1" class="dataframe">
+      <thead>
+        <tr style="text-align: right;">
+          <th></th>
+          <th>tsmom_ew</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <th>start</th>
+          <td>2008-01-01 00:00:00</td>
+        </tr>
+        <tr>
+          <th>end</th>
+          <td>2017-08-29 00:00:00</td>
+        </tr>
+        <tr>
+          <th>rf</th>
+          <td>0.0</td>
+        </tr>
+        <tr>
+          <th>total_return</th>
+          <td>1.982933</td>
+        </tr>
+        <tr>
+          <th>cagr</th>
+          <td>0.119797</td>
+        </tr>
+        <tr>
+          <th>max_drawdown</th>
+          <td>-0.103421</td>
+        </tr>
+        <tr>
+          <th>calmar</th>
+          <td>1.158343</td>
+        </tr>
+        <tr>
+          <th>mtd</th>
+          <td>0.017544</td>
+        </tr>
+        <tr>
+          <th>three_month</th>
+          <td>0.040722</td>
+        </tr>
+        <tr>
+          <th>six_month</th>
+          <td>0.079362</td>
+        </tr>
+        <tr>
+          <th>ytd</th>
+          <td>0.08107</td>
+        </tr>
+        <tr>
+          <th>one_year</th>
+          <td>0.100432</td>
+        </tr>
+        <tr>
+          <th>three_year</th>
+          <td>0.159895</td>
+        </tr>
+        <tr>
+          <th>five_year</th>
+          <td>0.172284</td>
+        </tr>
+        <tr>
+          <th>ten_year</th>
+          <td>0.119797</td>
+        </tr>
+        <tr>
+          <th>incep</th>
+          <td>0.119797</td>
+        </tr>
+        <tr>
+          <th>daily_sharpe</th>
+          <td>1.356727</td>
+        </tr>
+        <tr>
+          <th>daily_sortino</th>
+          <td>2.332895</td>
+        </tr>
+        <tr>
+          <th>daily_mean</th>
+          <td>0.112765</td>
+        </tr>
+        <tr>
+          <th>daily_vol</th>
+          <td>0.083116</td>
+        </tr>
+        <tr>
+          <th>daily_skew</th>
+          <td>0.029851</td>
+        </tr>
+        <tr>
+          <th>daily_kurt</th>
+          <td>0.96973</td>
+        </tr>
+        <tr>
+          <th>best_day</th>
+          <td>0.02107</td>
+        </tr>
+        <tr>
+          <th>worst_day</th>
+          <td>-0.021109</td>
+        </tr>
+        <tr>
+          <th>monthly_sharpe</th>
+          <td>1.373241</td>
+        </tr>
+        <tr>
+          <th>monthly_sortino</th>
+          <td>2.966223</td>
+        </tr>
+        <tr>
+          <th>monthly_mean</th>
+          <td>0.118231</td>
+        </tr>
+        <tr>
+          <th>monthly_vol</th>
+          <td>0.086096</td>
+        </tr>
+        <tr>
+          <th>monthly_skew</th>
+          <td>-0.059867</td>
+        </tr>
+        <tr>
+          <th>monthly_kurt</th>
+          <td>0.571064</td>
+        </tr>
+        <tr>
+          <th>best_month</th>
+          <td>0.070108</td>
+        </tr>
+        <tr>
+          <th>worst_month</th>
+          <td>-0.064743</td>
+        </tr>
+        <tr>
+          <th>yearly_sharpe</th>
+          <td>1.741129</td>
+        </tr>
+        <tr>
+          <th>yearly_sortino</th>
+          <td>inf</td>
+        </tr>
+        <tr>
+          <th>yearly_mean</th>
+          <td>0.129033</td>
+        </tr>
+        <tr>
+          <th>yearly_vol</th>
+          <td>0.074109</td>
+        </tr>
+        <tr>
+          <th>yearly_skew</th>
+          <td>0.990397</td>
+        </tr>
+        <tr>
+          <th>yearly_kurt</th>
+          <td>1.973883</td>
+        </tr>
+        <tr>
+          <th>best_year</th>
+          <td>0.285249</td>
+        </tr>
+        <tr>
+          <th>worst_year</th>
+          <td>0.024152</td>
+        </tr>
+        <tr>
+          <th>avg_drawdown</th>
+          <td>-0.015516</td>
+        </tr>
+        <tr>
+          <th>avg_drawdown_days</th>
+          <td>25.223214</td>
+        </tr>
+        <tr>
+          <th>avg_up_month</th>
+          <td>0.024988</td>
+        </tr>
+        <tr>
+          <th>avg_down_month</th>
+          <td>-0.012046</td>
+        </tr>
+        <tr>
+          <th>win_year_perc</th>
+          <td>1.0</td>
+        </tr>
+        <tr>
+          <th>twelve_month_win_perc</th>
+          <td>0.971429</td>
+        </tr>
+      </tbody>
+    </table>
+    </div>
+
+
+
diff --git a/docs/source/Trend_2.ipynb b/docs/source/Trend_2.ipynb
new file mode 120000
index 00000000..7f1cb10d
--- /dev/null
+++ b/docs/source/Trend_2.ipynb
@@ -0,0 +1 @@
+../../examples/trend_2.ipynb
\ No newline at end of file
diff --git a/docs/source/Trend_2.rst b/docs/source/Trend_2.rst
new file mode 100644
index 00000000..485d46df
--- /dev/null
+++ b/docs/source/Trend_2.rst
@@ -0,0 +1,509 @@
+Trend Example 2
+---------------
+
+.. code:: ipython3
+
+    import numpy as np
+    import pandas as pd
+    
+    import bt
+    import matplotlib.pyplot as plt
+    
+    %matplotlib inline
+
+.. code:: ipython3
+
+    np.random.seed(0)
+    returns =  np.random.normal(0.08/12,0.2/np.sqrt(12),12*10)
+    pdf = pd.DataFrame(
+        np.cumprod(1+returns),
+        index = pd.date_range(start="2008-01-01",periods=12*10,freq="m"),
+        columns=['foo']
+    )
+    
+    pdf.plot();
+
+
+
+.. image:: _static/Trend_2_2_0.png
+   :class: pynb
+   :width: 373px
+   :height: 251px
+
+
+.. code:: ipython3
+
+    runMonthlyAlgo = bt.algos.RunMonthly()
+    rebalAlgo = bt.algos.Rebalance()
+    
+    class Signal(bt.Algo):
+    
+        """
+        
+        Mostly copied from StatTotalReturn
+        
+        Sets temp['Signal'] with total returns over a given period.
+    
+        Sets the 'Signal' based on the total return of each
+        over a given lookback period.
+    
+        Args:
+            * lookback (DateOffset): lookback period.
+            * lag (DateOffset): Lag interval. Total return is calculated in
+                the inteval [now - lookback - lag, now - lag]
+    
+        Sets:
+            * stat
+    
+        Requires:
+            * selected
+    
+        """
+    
+        def __init__(self, lookback=pd.DateOffset(months=3),
+                     lag=pd.DateOffset(days=0)):
+            super(Signal, self).__init__()
+            self.lookback = lookback
+            self.lag = lag
+    
+        def __call__(self, target):
+            selected = 'foo'
+            t0 = target.now - self.lag
+            
+            if target.universe[selected].index[0] > t0:
+                return False
+            prc = target.universe[selected].loc[t0 - self.lookback:t0]
+            
+            
+            trend = prc.iloc[-1]/prc.iloc[0] - 1
+            signal = trend > 0.
+            
+            if signal:
+                target.temp['Signal'] = 1.
+            else:
+                target.temp['Signal'] = 0.
+                
+            return True
+    
+    signalAlgo = Signal(pd.DateOffset(months=12),pd.DateOffset(months=1))
+        
+    class WeighFromSignal(bt.Algo):
+    
+        """
+        Sets temp['weights'] from the signal.
+        Sets:
+            * weights
+    
+        Requires:
+            * selected
+    
+        """
+    
+        def __init__(self):
+            super(WeighFromSignal, self).__init__()
+    
+        def __call__(self, target):
+            selected = 'foo'
+            if target.temp['Signal'] is None:
+                raise(Exception('No Signal!'))
+            
+            target.temp['weights'] = {selected : target.temp['Signal']}
+            return True
+        
+    weighFromSignalAlgo = WeighFromSignal()
+
+.. code:: ipython3
+
+    s = bt.Strategy(
+        'example1',
+        [
+            runMonthlyAlgo,
+            signalAlgo,
+            weighFromSignalAlgo,
+            rebalAlgo
+        ]
+    )
+    
+    t = bt.Backtest(s, pdf, integer_positions=False, progress_bar=True)
+    res = bt.run(t)
+
+
+
+.. parsed-literal::
+   :class: pynb-result
+
+    example1
+    0% [############################# ] 100% | ETA: 00:00:00
+
+.. code:: ipython3
+
+    res.plot_security_weights();
+
+
+
+.. image:: _static/Trend_2_5_0.png
+   :class: pynb
+   :width: 876px
+   :height: 289px
+
+
+.. code:: ipython3
+
+    t.positions
+
+
+
+
+.. raw:: html
+
+    <div class="pynb-result">
+    <style scoped>
+        .dataframe tbody tr th:only-of-type {
+            vertical-align: middle;
+        }
+    
+        .dataframe tbody tr th {
+            vertical-align: top;
+        }
+    
+        .dataframe thead th {
+            text-align: right;
+        }
+    </style>
+    <table border="1" class="dataframe">
+      <thead>
+        <tr style="text-align: right;">
+          <th></th>
+          <th>foo</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <th>2008-01-30</th>
+          <td>0.000000</td>
+        </tr>
+        <tr>
+          <th>2008-01-31</th>
+          <td>0.000000</td>
+        </tr>
+        <tr>
+          <th>2008-02-29</th>
+          <td>0.000000</td>
+        </tr>
+        <tr>
+          <th>2008-03-31</th>
+          <td>0.000000</td>
+        </tr>
+        <tr>
+          <th>2008-04-30</th>
+          <td>0.000000</td>
+        </tr>
+        <tr>
+          <th>...</th>
+          <td>...</td>
+        </tr>
+        <tr>
+          <th>2017-08-31</th>
+          <td>631321.251898</td>
+        </tr>
+        <tr>
+          <th>2017-09-30</th>
+          <td>631321.251898</td>
+        </tr>
+        <tr>
+          <th>2017-10-31</th>
+          <td>631321.251898</td>
+        </tr>
+        <tr>
+          <th>2017-11-30</th>
+          <td>631321.251898</td>
+        </tr>
+        <tr>
+          <th>2017-12-31</th>
+          <td>631321.251898</td>
+        </tr>
+      </tbody>
+    </table>
+    <p>121 rows × 1 columns</p>
+    </div>
+
+
+
+.. code:: ipython3
+
+    res.prices.tail()
+
+
+
+
+.. raw:: html
+
+    <div class="pynb-result">
+    <style scoped>
+        .dataframe tbody tr th:only-of-type {
+            vertical-align: middle;
+        }
+    
+        .dataframe tbody tr th {
+            vertical-align: top;
+        }
+    
+        .dataframe thead th {
+            text-align: right;
+        }
+    </style>
+    <table border="1" class="dataframe">
+      <thead>
+        <tr style="text-align: right;">
+          <th></th>
+          <th>example1</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <th>2017-08-31</th>
+          <td>240.302579</td>
+        </tr>
+        <tr>
+          <th>2017-09-30</th>
+          <td>255.046653</td>
+        </tr>
+        <tr>
+          <th>2017-10-31</th>
+          <td>254.464421</td>
+        </tr>
+        <tr>
+          <th>2017-11-30</th>
+          <td>265.182603</td>
+        </tr>
+        <tr>
+          <th>2017-12-31</th>
+          <td>281.069771</td>
+        </tr>
+      </tbody>
+    </table>
+    </div>
+
+
+
+.. code:: ipython3
+
+    res.stats
+
+
+
+
+.. raw:: html
+
+    <div class="pynb-result">
+    <style scoped>
+        .dataframe tbody tr th:only-of-type {
+            vertical-align: middle;
+        }
+    
+        .dataframe tbody tr th {
+            vertical-align: top;
+        }
+    
+        .dataframe thead th {
+            text-align: right;
+        }
+    </style>
+    <table border="1" class="dataframe">
+      <thead>
+        <tr style="text-align: right;">
+          <th></th>
+          <th>example1</th>
+        </tr>
+      </thead>
+      <tbody>
+        <tr>
+          <th>start</th>
+          <td>2008-01-30 00:00:00</td>
+        </tr>
+        <tr>
+          <th>end</th>
+          <td>2017-12-31 00:00:00</td>
+        </tr>
+        <tr>
+          <th>rf</th>
+          <td>0.0</td>
+        </tr>
+        <tr>
+          <th>total_return</th>
+          <td>1.810698</td>
+        </tr>
+        <tr>
+          <th>cagr</th>
+          <td>0.109805</td>
+        </tr>
+        <tr>
+          <th>max_drawdown</th>
+          <td>-0.267046</td>
+        </tr>
+        <tr>
+          <th>calmar</th>
+          <td>0.411186</td>
+        </tr>
+        <tr>
+          <th>mtd</th>
+          <td>0.05991</td>
+        </tr>
+        <tr>
+          <th>three_month</th>
+          <td>0.102033</td>
+        </tr>
+        <tr>
+          <th>six_month</th>
+          <td>0.22079</td>
+        </tr>
+        <tr>
+          <th>ytd</th>
+          <td>0.879847</td>
+        </tr>
+        <tr>
+          <th>one_year</th>
+          <td>0.879847</td>
+        </tr>
+        <tr>
+          <th>three_year</th>
+          <td>0.406395</td>
+        </tr>
+        <tr>
+          <th>five_year</th>
+          <td>0.227148</td>
+        </tr>
+        <tr>
+          <th>ten_year</th>
+          <td>0.109805</td>
+        </tr>
+        <tr>
+          <th>incep</th>
+          <td>0.109805</td>
+        </tr>
+        <tr>
+          <th>daily_sharpe</th>
+          <td>3.299555</td>
+        </tr>
+        <tr>
+          <th>daily_sortino</th>
+          <td>6.352869</td>
+        </tr>
+        <tr>
+          <th>daily_mean</th>
+          <td>2.448589</td>
+        </tr>
+        <tr>
+          <th>daily_vol</th>
+          <td>0.742097</td>
+        </tr>
+        <tr>
+          <th>daily_skew</th>
+          <td>0.307861</td>
+        </tr>
+        <tr>
+          <th>daily_kurt</th>
+          <td>1.414455</td>
+        </tr>
+        <tr>
+          <th>best_day</th>
+          <td>0.137711</td>
+        </tr>
+        <tr>
+          <th>worst_day</th>
+          <td>-0.14073</td>
+        </tr>
+        <tr>
+          <th>monthly_sharpe</th>
+          <td>0.723148</td>
+        </tr>
+        <tr>
+          <th>monthly_sortino</th>
+          <td>1.392893</td>
+        </tr>
+        <tr>
+          <th>monthly_mean</th>
+          <td>0.117579</td>
+        </tr>
+        <tr>
+          <th>monthly_vol</th>
+          <td>0.162594</td>
+        </tr>
+        <tr>
+          <th>monthly_skew</th>
+          <td>0.301545</td>
+        </tr>
+        <tr>
+          <th>monthly_kurt</th>
+          <td>1.379006</td>
+        </tr>
+        <tr>
+          <th>best_month</th>
+          <td>0.137711</td>
+        </tr>
+        <tr>
+          <th>worst_month</th>
+          <td>-0.14073</td>
+        </tr>
+        <tr>
+          <th>yearly_sharpe</th>
+          <td>0.503939</td>
+        </tr>
+        <tr>
+          <th>yearly_sortino</th>
+          <td>5.019272</td>
+        </tr>
+        <tr>
+          <th>yearly_mean</th>
+          <td>0.14814</td>
+        </tr>
+        <tr>
+          <th>yearly_vol</th>
+          <td>0.293964</td>
+        </tr>
+        <tr>
+          <th>yearly_skew</th>
+          <td>2.317496</td>
+        </tr>
+        <tr>
+          <th>yearly_kurt</th>
+          <td>5.894955</td>
+        </tr>
+        <tr>
+          <th>best_year</th>
+          <td>0.879847</td>
+        </tr>
+        <tr>
+          <th>worst_year</th>
+          <td>-0.088543</td>
+        </tr>
+        <tr>
+          <th>avg_drawdown</th>
+          <td>-0.091255</td>
+        </tr>
+        <tr>
+          <th>avg_drawdown_days</th>
+          <td>369.714286</td>
+        </tr>
+        <tr>
+          <th>avg_up_month</th>
+          <td>0.064341</td>
+        </tr>
+        <tr>
+          <th>avg_down_month</th>
+          <td>-0.012928</td>
+        </tr>
+        <tr>
+          <th>win_year_perc</th>
+          <td>0.555556</td>
+        </tr>
+        <tr>
+          <th>twelve_month_win_perc</th>
+          <td>0.46789</td>
+        </tr>
+      </tbody>
+    </table>
+    </div>
+
+
+
diff --git a/docs/source/_static/Buy_and_hold_10_0.png b/docs/source/_static/Buy_and_hold_10_0.png
new file mode 100644
index 00000000..c65e3959
Binary files /dev/null and b/docs/source/_static/Buy_and_hold_10_0.png differ
diff --git a/docs/source/_static/Buy_and_hold_11_1.png b/docs/source/_static/Buy_and_hold_11_1.png
new file mode 100644
index 00000000..077b4fe7
Binary files /dev/null and b/docs/source/_static/Buy_and_hold_11_1.png differ
diff --git a/docs/source/_static/Buy_and_hold_12_0.png b/docs/source/_static/Buy_and_hold_12_0.png
new file mode 100644
index 00000000..2313aa38
Binary files /dev/null and b/docs/source/_static/Buy_and_hold_12_0.png differ
diff --git a/docs/source/_static/Buy_and_hold_13_1.png b/docs/source/_static/Buy_and_hold_13_1.png
new file mode 100644
index 00000000..09304157
Binary files /dev/null and b/docs/source/_static/Buy_and_hold_13_1.png differ
diff --git a/docs/source/_static/Buy_and_hold_14_0.png b/docs/source/_static/Buy_and_hold_14_0.png
new file mode 100644
index 00000000..710c01f6
Binary files /dev/null and b/docs/source/_static/Buy_and_hold_14_0.png differ
diff --git a/docs/source/_static/Buy_and_hold_2_1.png b/docs/source/_static/Buy_and_hold_2_1.png
new file mode 100644
index 00000000..95f21347
Binary files /dev/null and b/docs/source/_static/Buy_and_hold_2_1.png differ
diff --git a/docs/source/_static/Buy_and_hold_3_0.png b/docs/source/_static/Buy_and_hold_3_0.png
new file mode 100644
index 00000000..9321e104
Binary files /dev/null and b/docs/source/_static/Buy_and_hold_3_0.png differ
diff --git a/docs/source/_static/Buy_and_hold_9_0.png b/docs/source/_static/Buy_and_hold_9_0.png
new file mode 100644
index 00000000..1df540b4
Binary files /dev/null and b/docs/source/_static/Buy_and_hold_9_0.png differ
diff --git a/docs/source/_static/ERC_3_1.png b/docs/source/_static/ERC_3_1.png
new file mode 100644
index 00000000..d740b690
Binary files /dev/null and b/docs/source/_static/ERC_3_1.png differ
diff --git a/docs/source/_static/ERC_4_0.png b/docs/source/_static/ERC_4_0.png
new file mode 100644
index 00000000..fe2afc9a
Binary files /dev/null and b/docs/source/_static/ERC_4_0.png differ
diff --git a/docs/source/_static/ERC_6_1.png b/docs/source/_static/ERC_6_1.png
new file mode 100644
index 00000000..eadadcfe
Binary files /dev/null and b/docs/source/_static/ERC_6_1.png differ
diff --git a/docs/source/_static/ERC_7_0.png b/docs/source/_static/ERC_7_0.png
new file mode 100644
index 00000000..0f13776a
Binary files /dev/null and b/docs/source/_static/ERC_7_0.png differ
diff --git a/docs/source/_static/ERC_7_1.png b/docs/source/_static/ERC_7_1.png
new file mode 100644
index 00000000..876d4806
Binary files /dev/null and b/docs/source/_static/ERC_7_1.png differ
diff --git a/docs/source/_static/ERC_8_0.png b/docs/source/_static/ERC_8_0.png
new file mode 100644
index 00000000..c825eefa
Binary files /dev/null and b/docs/source/_static/ERC_8_0.png differ
diff --git a/docs/source/_static/ERC_8_1.png b/docs/source/_static/ERC_8_1.png
new file mode 100644
index 00000000..adc96cfa
Binary files /dev/null and b/docs/source/_static/ERC_8_1.png differ
diff --git a/docs/source/_static/ERC_9_0.png b/docs/source/_static/ERC_9_0.png
new file mode 100644
index 00000000..c7f2be66
Binary files /dev/null and b/docs/source/_static/ERC_9_0.png differ
diff --git a/docs/source/_static/Fixed_Income_13_0.png b/docs/source/_static/Fixed_Income_13_0.png
new file mode 100644
index 00000000..5f4e2cbe
Binary files /dev/null and b/docs/source/_static/Fixed_Income_13_0.png differ
diff --git a/docs/source/_static/Fixed_Income_13_1.png b/docs/source/_static/Fixed_Income_13_1.png
new file mode 100644
index 00000000..ac79ccee
Binary files /dev/null and b/docs/source/_static/Fixed_Income_13_1.png differ
diff --git a/docs/source/_static/Fixed_Income_14_0.png b/docs/source/_static/Fixed_Income_14_0.png
new file mode 100644
index 00000000..f133f834
Binary files /dev/null and b/docs/source/_static/Fixed_Income_14_0.png differ
diff --git a/docs/source/_static/Fixed_Income_14_1.png b/docs/source/_static/Fixed_Income_14_1.png
new file mode 100644
index 00000000..ef7a08ae
Binary files /dev/null and b/docs/source/_static/Fixed_Income_14_1.png differ
diff --git a/docs/source/_static/Fixed_Income_15_0.png b/docs/source/_static/Fixed_Income_15_0.png
new file mode 100644
index 00000000..cc51219d
Binary files /dev/null and b/docs/source/_static/Fixed_Income_15_0.png differ
diff --git a/docs/source/_static/Fixed_Income_15_1.png b/docs/source/_static/Fixed_Income_15_1.png
new file mode 100644
index 00000000..4b045941
Binary files /dev/null and b/docs/source/_static/Fixed_Income_15_1.png differ
diff --git a/docs/source/_static/Fixed_Income_18_0.png b/docs/source/_static/Fixed_Income_18_0.png
new file mode 100644
index 00000000..d0949370
Binary files /dev/null and b/docs/source/_static/Fixed_Income_18_0.png differ
diff --git a/docs/source/_static/Fixed_Income_18_1.png b/docs/source/_static/Fixed_Income_18_1.png
new file mode 100644
index 00000000..1779f9c6
Binary files /dev/null and b/docs/source/_static/Fixed_Income_18_1.png differ
diff --git a/docs/source/_static/Fixed_Income_19_0.png b/docs/source/_static/Fixed_Income_19_0.png
new file mode 100644
index 00000000..904c0279
Binary files /dev/null and b/docs/source/_static/Fixed_Income_19_0.png differ
diff --git a/docs/source/_static/Fixed_Income_19_1.png b/docs/source/_static/Fixed_Income_19_1.png
new file mode 100644
index 00000000..429c0935
Binary files /dev/null and b/docs/source/_static/Fixed_Income_19_1.png differ
diff --git a/docs/source/_static/Fixed_Income_20_0.png b/docs/source/_static/Fixed_Income_20_0.png
new file mode 100644
index 00000000..f39e027a
Binary files /dev/null and b/docs/source/_static/Fixed_Income_20_0.png differ
diff --git a/docs/source/_static/Fixed_Income_20_1.png b/docs/source/_static/Fixed_Income_20_1.png
new file mode 100644
index 00000000..b0aec382
Binary files /dev/null and b/docs/source/_static/Fixed_Income_20_1.png differ
diff --git a/docs/source/_static/Fixed_Income_21_0.png b/docs/source/_static/Fixed_Income_21_0.png
new file mode 100644
index 00000000..661cb09a
Binary files /dev/null and b/docs/source/_static/Fixed_Income_21_0.png differ
diff --git a/docs/source/_static/Fixed_Income_21_1.png b/docs/source/_static/Fixed_Income_21_1.png
new file mode 100644
index 00000000..577f005d
Binary files /dev/null and b/docs/source/_static/Fixed_Income_21_1.png differ
diff --git a/docs/source/_static/PTE_12_1.png b/docs/source/_static/PTE_12_1.png
new file mode 100644
index 00000000..de18fe76
Binary files /dev/null and b/docs/source/_static/PTE_12_1.png differ
diff --git a/docs/source/_static/PTE_13_0.png b/docs/source/_static/PTE_13_0.png
new file mode 100644
index 00000000..150b8ed5
Binary files /dev/null and b/docs/source/_static/PTE_13_0.png differ
diff --git a/docs/source/_static/PTE_14_1.png b/docs/source/_static/PTE_14_1.png
new file mode 100644
index 00000000..a6bf6f03
Binary files /dev/null and b/docs/source/_static/PTE_14_1.png differ
diff --git a/docs/source/_static/PTE_15_0.png b/docs/source/_static/PTE_15_0.png
new file mode 100644
index 00000000..1cd815b7
Binary files /dev/null and b/docs/source/_static/PTE_15_0.png differ
diff --git a/docs/source/_static/PTE_16_1.png b/docs/source/_static/PTE_16_1.png
new file mode 100644
index 00000000..8a24d431
Binary files /dev/null and b/docs/source/_static/PTE_16_1.png differ
diff --git a/docs/source/_static/PTE_17_0.png b/docs/source/_static/PTE_17_0.png
new file mode 100644
index 00000000..66d8bdbe
Binary files /dev/null and b/docs/source/_static/PTE_17_0.png differ
diff --git a/docs/source/_static/PTE_18_1.png b/docs/source/_static/PTE_18_1.png
new file mode 100644
index 00000000..418f4377
Binary files /dev/null and b/docs/source/_static/PTE_18_1.png differ
diff --git a/docs/source/_static/PTE_19_0.png b/docs/source/_static/PTE_19_0.png
new file mode 100644
index 00000000..28842439
Binary files /dev/null and b/docs/source/_static/PTE_19_0.png differ
diff --git a/docs/source/_static/PTE_2_1.png b/docs/source/_static/PTE_2_1.png
new file mode 100644
index 00000000..0ba12917
Binary files /dev/null and b/docs/source/_static/PTE_2_1.png differ
diff --git a/docs/source/_static/PTE_3_0.png b/docs/source/_static/PTE_3_0.png
new file mode 100644
index 00000000..7ceab25e
Binary files /dev/null and b/docs/source/_static/PTE_3_0.png differ
diff --git a/docs/source/_static/PTE_5_1.png b/docs/source/_static/PTE_5_1.png
new file mode 100644
index 00000000..c0a58bac
Binary files /dev/null and b/docs/source/_static/PTE_5_1.png differ
diff --git a/docs/source/_static/PTE_6_0.png b/docs/source/_static/PTE_6_0.png
new file mode 100644
index 00000000..09df9d41
Binary files /dev/null and b/docs/source/_static/PTE_6_0.png differ
diff --git a/docs/source/_static/PTE_8_1.png b/docs/source/_static/PTE_8_1.png
new file mode 100644
index 00000000..60fce75d
Binary files /dev/null and b/docs/source/_static/PTE_8_1.png differ
diff --git a/docs/source/_static/PTE_9_0.png b/docs/source/_static/PTE_9_0.png
new file mode 100644
index 00000000..4ffe22b7
Binary files /dev/null and b/docs/source/_static/PTE_9_0.png differ
diff --git a/docs/source/_static/Strategy_Combination_10_0.png b/docs/source/_static/Strategy_Combination_10_0.png
new file mode 100644
index 00000000..7b678caf
Binary files /dev/null and b/docs/source/_static/Strategy_Combination_10_0.png differ
diff --git a/docs/source/_static/Strategy_Combination_12_0.png b/docs/source/_static/Strategy_Combination_12_0.png
new file mode 100644
index 00000000..b765b5aa
Binary files /dev/null and b/docs/source/_static/Strategy_Combination_12_0.png differ
diff --git a/docs/source/_static/Strategy_Combination_12_1.png b/docs/source/_static/Strategy_Combination_12_1.png
new file mode 100644
index 00000000..774e28f0
Binary files /dev/null and b/docs/source/_static/Strategy_Combination_12_1.png differ
diff --git a/docs/source/_static/Strategy_Combination_13_0.png b/docs/source/_static/Strategy_Combination_13_0.png
new file mode 100644
index 00000000..bd8c5dd4
Binary files /dev/null and b/docs/source/_static/Strategy_Combination_13_0.png differ
diff --git a/docs/source/_static/Strategy_Combination_13_1.png b/docs/source/_static/Strategy_Combination_13_1.png
new file mode 100644
index 00000000..5bfb8350
Binary files /dev/null and b/docs/source/_static/Strategy_Combination_13_1.png differ
diff --git a/docs/source/_static/Strategy_Combination_3_0.png b/docs/source/_static/Strategy_Combination_3_0.png
new file mode 100644
index 00000000..6a045834
Binary files /dev/null and b/docs/source/_static/Strategy_Combination_3_0.png differ
diff --git a/docs/source/_static/Strategy_Combination_3_1.png b/docs/source/_static/Strategy_Combination_3_1.png
new file mode 100644
index 00000000..301ad205
Binary files /dev/null and b/docs/source/_static/Strategy_Combination_3_1.png differ
diff --git a/docs/source/_static/Strategy_Combination_6_0.png b/docs/source/_static/Strategy_Combination_6_0.png
new file mode 100644
index 00000000..db7200d4
Binary files /dev/null and b/docs/source/_static/Strategy_Combination_6_0.png differ
diff --git a/docs/source/_static/Strategy_Combination_6_1.png b/docs/source/_static/Strategy_Combination_6_1.png
new file mode 100644
index 00000000..f7a28691
Binary files /dev/null and b/docs/source/_static/Strategy_Combination_6_1.png differ
diff --git a/docs/source/_static/Strategy_Combination_7_0.png b/docs/source/_static/Strategy_Combination_7_0.png
new file mode 100644
index 00000000..9f07384d
Binary files /dev/null and b/docs/source/_static/Strategy_Combination_7_0.png differ
diff --git a/docs/source/_static/Strategy_Combination_7_1.png b/docs/source/_static/Strategy_Combination_7_1.png
new file mode 100644
index 00000000..9de6e720
Binary files /dev/null and b/docs/source/_static/Strategy_Combination_7_1.png differ
diff --git a/docs/source/_static/Target_Volatility_10_1.png b/docs/source/_static/Target_Volatility_10_1.png
new file mode 100644
index 00000000..d301d9fb
Binary files /dev/null and b/docs/source/_static/Target_Volatility_10_1.png differ
diff --git a/docs/source/_static/Target_Volatility_11_0.png b/docs/source/_static/Target_Volatility_11_0.png
new file mode 100644
index 00000000..dae617a6
Binary files /dev/null and b/docs/source/_static/Target_Volatility_11_0.png differ
diff --git a/docs/source/_static/Target_Volatility_12_1.png b/docs/source/_static/Target_Volatility_12_1.png
new file mode 100644
index 00000000..8ee5dcde
Binary files /dev/null and b/docs/source/_static/Target_Volatility_12_1.png differ
diff --git a/docs/source/_static/Target_Volatility_13_0.png b/docs/source/_static/Target_Volatility_13_0.png
new file mode 100644
index 00000000..a525011a
Binary files /dev/null and b/docs/source/_static/Target_Volatility_13_0.png differ
diff --git a/docs/source/_static/Target_Volatility_2_1.png b/docs/source/_static/Target_Volatility_2_1.png
new file mode 100644
index 00000000..0ba12917
Binary files /dev/null and b/docs/source/_static/Target_Volatility_2_1.png differ
diff --git a/docs/source/_static/Target_Volatility_3_0.png b/docs/source/_static/Target_Volatility_3_0.png
new file mode 100644
index 00000000..7ceab25e
Binary files /dev/null and b/docs/source/_static/Target_Volatility_3_0.png differ
diff --git a/docs/source/_static/Target_Volatility_8_1.png b/docs/source/_static/Target_Volatility_8_1.png
new file mode 100644
index 00000000..e4dd12d2
Binary files /dev/null and b/docs/source/_static/Target_Volatility_8_1.png differ
diff --git a/docs/source/_static/Target_Volatility_9_0.png b/docs/source/_static/Target_Volatility_9_0.png
new file mode 100644
index 00000000..8feb0612
Binary files /dev/null and b/docs/source/_static/Target_Volatility_9_0.png differ
diff --git a/docs/source/_static/Trend_1_11_0.png b/docs/source/_static/Trend_1_11_0.png
new file mode 100644
index 00000000..86e9633b
Binary files /dev/null and b/docs/source/_static/Trend_1_11_0.png differ
diff --git a/docs/source/_static/Trend_1_12_0.png b/docs/source/_static/Trend_1_12_0.png
new file mode 100644
index 00000000..e8d5f743
Binary files /dev/null and b/docs/source/_static/Trend_1_12_0.png differ
diff --git a/docs/source/_static/Trend_1_2_1.png b/docs/source/_static/Trend_1_2_1.png
new file mode 100644
index 00000000..3913a3d1
Binary files /dev/null and b/docs/source/_static/Trend_1_2_1.png differ
diff --git a/docs/source/_static/Trend_1_3_0.png b/docs/source/_static/Trend_1_3_0.png
new file mode 100644
index 00000000..6dd86ca1
Binary files /dev/null and b/docs/source/_static/Trend_1_3_0.png differ
diff --git a/docs/source/_static/Trend_1_4_0.png b/docs/source/_static/Trend_1_4_0.png
new file mode 100644
index 00000000..0c84a747
Binary files /dev/null and b/docs/source/_static/Trend_1_4_0.png differ
diff --git a/docs/source/_static/Trend_1_5_0.png b/docs/source/_static/Trend_1_5_0.png
new file mode 100644
index 00000000..e0a91a8d
Binary files /dev/null and b/docs/source/_static/Trend_1_5_0.png differ
diff --git a/docs/source/_static/Trend_2_1_1.png b/docs/source/_static/Trend_2_1_1.png
new file mode 100644
index 00000000..1159e65e
Binary files /dev/null and b/docs/source/_static/Trend_2_1_1.png differ
diff --git a/docs/source/_static/Trend_2_2_0.png b/docs/source/_static/Trend_2_2_0.png
new file mode 100644
index 00000000..e6e2171b
Binary files /dev/null and b/docs/source/_static/Trend_2_2_0.png differ
diff --git a/docs/source/_static/Trend_2_4_0.png b/docs/source/_static/Trend_2_4_0.png
new file mode 100644
index 00000000..27e1caeb
Binary files /dev/null and b/docs/source/_static/Trend_2_4_0.png differ
diff --git a/docs/source/_static/Trend_2_5_0.png b/docs/source/_static/Trend_2_5_0.png
new file mode 100644
index 00000000..0cc1637a
Binary files /dev/null and b/docs/source/_static/Trend_2_5_0.png differ
diff --git a/docs/source/_static/examples-nb_10_0.png b/docs/source/_static/examples-nb_10_0.png
deleted file mode 100644
index 9d748936..00000000
Binary files a/docs/source/_static/examples-nb_10_0.png and /dev/null differ
diff --git a/docs/source/_static/examples-nb_11_0.png b/docs/source/_static/examples-nb_11_0.png
index 283fb504..a75cb80b 100644
Binary files a/docs/source/_static/examples-nb_11_0.png and b/docs/source/_static/examples-nb_11_0.png differ
diff --git a/docs/source/_static/examples-nb_12_0.png b/docs/source/_static/examples-nb_12_0.png
new file mode 100644
index 00000000..302dc603
Binary files /dev/null and b/docs/source/_static/examples-nb_12_0.png differ
diff --git a/docs/source/_static/examples-nb_15_0.png b/docs/source/_static/examples-nb_15_0.png
deleted file mode 100644
index 672933e4..00000000
Binary files a/docs/source/_static/examples-nb_15_0.png and /dev/null differ
diff --git a/docs/source/_static/examples-nb_16_0.png b/docs/source/_static/examples-nb_16_0.png
deleted file mode 100644
index 44fd2e38..00000000
Binary files a/docs/source/_static/examples-nb_16_0.png and /dev/null differ
diff --git a/docs/source/_static/examples-nb_17_0.png b/docs/source/_static/examples-nb_17_0.png
index 672933e4..d59d358a 100644
Binary files a/docs/source/_static/examples-nb_17_0.png and b/docs/source/_static/examples-nb_17_0.png differ
diff --git a/docs/source/_static/examples-nb_18_0.png b/docs/source/_static/examples-nb_18_0.png
new file mode 100644
index 00000000..d6004aba
Binary files /dev/null and b/docs/source/_static/examples-nb_18_0.png differ
diff --git a/docs/source/_static/examples-nb_24_0.png b/docs/source/_static/examples-nb_24_0.png
deleted file mode 100644
index 52e66773..00000000
Binary files a/docs/source/_static/examples-nb_24_0.png and /dev/null differ
diff --git a/docs/source/_static/examples-nb_25_0.png b/docs/source/_static/examples-nb_25_0.png
new file mode 100644
index 00000000..6a7f2457
Binary files /dev/null and b/docs/source/_static/examples-nb_25_0.png differ
diff --git a/docs/source/_static/examples-nb_26_0.png b/docs/source/_static/examples-nb_26_0.png
new file mode 100644
index 00000000..4fe9b6c3
Binary files /dev/null and b/docs/source/_static/examples-nb_26_0.png differ
diff --git a/docs/source/_static/examples-nb_27_0.png b/docs/source/_static/examples-nb_27_0.png
deleted file mode 100644
index 4441ac4c..00000000
Binary files a/docs/source/_static/examples-nb_27_0.png and /dev/null differ
diff --git a/docs/source/_static/examples-nb_28_0.png b/docs/source/_static/examples-nb_28_0.png
new file mode 100644
index 00000000..1d4ab072
Binary files /dev/null and b/docs/source/_static/examples-nb_28_0.png differ
diff --git a/docs/source/_static/examples-nb_29_0.png b/docs/source/_static/examples-nb_29_0.png
new file mode 100644
index 00000000..03527efe
Binary files /dev/null and b/docs/source/_static/examples-nb_29_0.png differ
diff --git a/docs/source/_static/examples-nb_30_0.png b/docs/source/_static/examples-nb_30_0.png
deleted file mode 100644
index 2218b4db..00000000
Binary files a/docs/source/_static/examples-nb_30_0.png and /dev/null differ
diff --git a/docs/source/_static/examples-nb_31_0.png b/docs/source/_static/examples-nb_31_0.png
index c5506006..dbbbb23c 100644
Binary files a/docs/source/_static/examples-nb_31_0.png and b/docs/source/_static/examples-nb_31_0.png differ
diff --git a/docs/source/_static/examples-nb_32_0.png b/docs/source/_static/examples-nb_32_0.png
new file mode 100644
index 00000000..d15fb97f
Binary files /dev/null and b/docs/source/_static/examples-nb_32_0.png differ
diff --git a/docs/source/_static/examples-nb_33_0.png b/docs/source/_static/examples-nb_33_0.png
new file mode 100644
index 00000000..aee95b86
Binary files /dev/null and b/docs/source/_static/examples-nb_33_0.png differ
diff --git a/docs/source/_static/examples-nb_34_0.png b/docs/source/_static/examples-nb_34_0.png
deleted file mode 100644
index 302d7b46..00000000
Binary files a/docs/source/_static/examples-nb_34_0.png and /dev/null differ
diff --git a/docs/source/_static/examples-nb_35_0.png b/docs/source/_static/examples-nb_35_0.png
index dcdbba95..35041e43 100644
Binary files a/docs/source/_static/examples-nb_35_0.png and b/docs/source/_static/examples-nb_35_0.png differ
diff --git a/docs/source/_static/examples-nb_36_0.png b/docs/source/_static/examples-nb_36_0.png
new file mode 100644
index 00000000..585ba9eb
Binary files /dev/null and b/docs/source/_static/examples-nb_36_0.png differ
diff --git a/docs/source/_static/examples-nb_37_0.png b/docs/source/_static/examples-nb_37_0.png
new file mode 100644
index 00000000..60b15989
Binary files /dev/null and b/docs/source/_static/examples-nb_37_0.png differ
diff --git a/docs/source/_static/examples-nb_3_0.png b/docs/source/_static/examples-nb_3_0.png
deleted file mode 100644
index 839dcec7..00000000
Binary files a/docs/source/_static/examples-nb_3_0.png and /dev/null differ
diff --git a/docs/source/_static/examples-nb_4_0.png b/docs/source/_static/examples-nb_4_0.png
deleted file mode 100644
index 0ec9c3ea..00000000
Binary files a/docs/source/_static/examples-nb_4_0.png and /dev/null differ
diff --git a/docs/source/_static/examples-nb_5_0.png b/docs/source/_static/examples-nb_5_0.png
new file mode 100644
index 00000000..22e7635b
Binary files /dev/null and b/docs/source/_static/examples-nb_5_0.png differ
diff --git a/docs/source/_static/examples-nb_6_0.png b/docs/source/_static/examples-nb_6_0.png
new file mode 100644
index 00000000..e8ae4dad
Binary files /dev/null and b/docs/source/_static/examples-nb_6_0.png differ
diff --git a/docs/source/_static/examples-nb_9_0.png b/docs/source/_static/examples-nb_9_0.png
deleted file mode 100644
index 283fb504..00000000
Binary files a/docs/source/_static/examples-nb_9_0.png and /dev/null differ
diff --git a/docs/source/_static/intro_10_0.png b/docs/source/_static/intro_10_0.png
deleted file mode 100644
index 7330db32..00000000
Binary files a/docs/source/_static/intro_10_0.png and /dev/null differ
diff --git a/docs/source/_static/intro_11_0.png b/docs/source/_static/intro_11_0.png
index 818f0336..c85b41ed 100644
Binary files a/docs/source/_static/intro_11_0.png and b/docs/source/_static/intro_11_0.png differ
diff --git a/docs/source/_static/intro_12_0.png b/docs/source/_static/intro_12_0.png
index eeb9ee7e..c2c800f9 100644
Binary files a/docs/source/_static/intro_12_0.png and b/docs/source/_static/intro_12_0.png differ
diff --git a/docs/source/_static/intro_13_0.png b/docs/source/_static/intro_13_0.png
deleted file mode 100644
index eff82d89..00000000
Binary files a/docs/source/_static/intro_13_0.png and /dev/null differ
diff --git a/docs/source/_static/intro_13_1.png b/docs/source/_static/intro_13_1.png
deleted file mode 100644
index 2a5eb187..00000000
Binary files a/docs/source/_static/intro_13_1.png and /dev/null differ
diff --git a/docs/source/_static/intro_14_0.png b/docs/source/_static/intro_14_0.png
index eff82d89..1567108a 100644
Binary files a/docs/source/_static/intro_14_0.png and b/docs/source/_static/intro_14_0.png differ
diff --git a/docs/source/_static/intro_15_0.png b/docs/source/_static/intro_15_0.png
deleted file mode 100644
index eff82d89..00000000
Binary files a/docs/source/_static/intro_15_0.png and /dev/null differ
diff --git a/docs/source/_static/intro_4_0.png b/docs/source/_static/intro_4_0.png
deleted file mode 100644
index 8bfcf96e..00000000
Binary files a/docs/source/_static/intro_4_0.png and /dev/null differ
diff --git a/docs/source/_static/intro_6_0.png b/docs/source/_static/intro_6_0.png
deleted file mode 100644
index eeb9ee7e..00000000
Binary files a/docs/source/_static/intro_6_0.png and /dev/null differ
diff --git a/docs/source/_static/intro_7_0.png b/docs/source/_static/intro_7_0.png
deleted file mode 100644
index 96179434..00000000
Binary files a/docs/source/_static/intro_7_0.png and /dev/null differ
diff --git a/docs/source/_static/intro_8_0.png b/docs/source/_static/intro_8_0.png
deleted file mode 100644
index 7fa0d90c..00000000
Binary files a/docs/source/_static/intro_8_0.png and /dev/null differ
diff --git a/docs/source/_static/intro_9_0.png b/docs/source/_static/intro_9_0.png
index 8bfcf96e..accb5910 100644
Binary files a/docs/source/_static/intro_9_0.png and b/docs/source/_static/intro_9_0.png differ
diff --git a/docs/source/_themes/klink/klink/__init__.py b/docs/source/_themes/klink/klink/__init__.py
index ce85efeb..9c4089ea 100644
--- a/docs/source/_themes/klink/klink/__init__.py
+++ b/docs/source/_themes/klink/klink/__init__.py
@@ -9,7 +9,7 @@ def convert_notebooks():
     Converts IPython Notebooks to proper .rst files and moves static
     content to the _static directory.
     """
-    convert_status = call(['ipython', 'nbconvert', '--to', 'rst', '*.ipynb'])
+    convert_status = call(['jupyter', 'nbconvert', '--to', 'rst', '*.ipynb'])
     if convert_status != 0:
         raise SystemError('Conversion failed! Status was %s' % convert_status)
 
@@ -32,14 +32,17 @@ def convert_notebooks():
 
         # rename static dir in rst file
         rst_file = '%s.rst' % name
-        print('REsT file is %s' % rst_file)
+        print('RST file is %s' % rst_file)
         data = None
         with open(rst_file, 'r') as f:
             data = f.read()
 
         if data is not None:
             with open(rst_file, 'w') as f:
-                data = re.sub('%s' % sdir, '_static', data)
+                # On Windows, bad escape character sequences are included (%5C) in static references
+                # We remove these here and replace with forward slashes as appropriate
+                # While converting the static directory name.
+                data = re.sub('%s(%%5C|/)' % sdir, '_static/', data)
                 f.write(data)
 
         # add special tags
@@ -56,10 +59,10 @@ def convert_notebooks():
                 line = lines[i]
                 # add class tags to images for css formatting
                 if 'image::' in line:
-                    lines.insert(i + 1, '    :class: pynb\n')
+                    lines.insert(i + 1, '   :class: pynb\n')
                     n += 1
                 elif 'parsed-literal::' in line:
-                    lines.insert(i + 1, '    :class: pynb-result\n')
+                    lines.insert(i + 1, '   :class: pynb-result\n')
                     n += 1
                 elif 'raw:: html' in line:
                     rawWatch = True
diff --git a/docs/source/conf.py b/docs/source/conf.py
index 74a0ae19..f9f1cd1d 100644
--- a/docs/source/conf.py
+++ b/docs/source/conf.py
@@ -11,228 +11,224 @@
 # All configuration values have a default; values that are commented out
 # serve to show the default.
 
-import sys, os
-import bt
+import sys
+import os
 
 # If extensions (or modules to document with autodoc) are in another directory,
 # add these directories to sys.path here. If the directory is relative to the
 # documentation root, use os.path.abspath to make it absolute, like shown here.
-sys.path.insert(0, os.path.abspath('../../bt'))
-sys.path.insert(0, os.path.abspath('_themes/klink'))
+sys.path.insert(0, os.path.abspath("../../"))
+sys.path.insert(0, os.path.abspath("../../bt"))
+sys.path.insert(0, os.path.abspath("_themes/klink"))
+
+import bt  # noqa: E402
+import klink  # noqa: E402
 
-import klink
 klink.convert_notebooks()
 
-html_theme_path = ['_themes/klink']
-html_theme = 'klink'
-html_theme_options = {
-    'github': 'pmorissette/bt',
-    'analytics_id': 'UA-52308448-3'
-}
+html_theme_path = ["_themes/klink"]
+html_theme = "klink"
+html_theme_options = {"github": "pmorissette/bt", "analytics_id": "UA-52308448-3"}
 
 # -- General configuration -----------------------------------------------------
 
 # If your documentation needs a minimal Sphinx version, state it here.
-#needs_sphinx = '1.0'
+# needs_sphinx = '1.0'
 
 # Add any Sphinx extension module names here, as strings. They can be extensions
 # coming with Sphinx (named 'sphinx.ext.*') or your custom ones.
-extensions = ['sphinx.ext.autodoc', 'sphinx.ext.viewcode', 'sphinx.ext.intersphinx']
+extensions = ["sphinx.ext.autodoc", "sphinx.ext.viewcode", "sphinx.ext.intersphinx"]
 
-intersphinx_mapping = {'ffn': ('http://pmorissette.github.io/ffn', None)}
+intersphinx_mapping = {"ffn": ("http://pmorissette.github.io/ffn", None)}
 
 # Add any paths that contain templates here, relative to this directory.
-templates_path = ['_templates']
+templates_path = ["_templates"]
 
 # The suffix of source filenames.
-source_suffix = '.rst'
+source_suffix = ".rst"
 
 # The encoding of source files.
-#source_encoding = 'utf-8-sig'
+# source_encoding = 'utf-8-sig'
 
 # The master toctree document.
-master_doc = 'index'
+master_doc = "index"
 
 # General information about the project.
-project = 'bt'
-copyright = 'bt was created by Philippe Morissette. If you find a bug, please <a href="https://github.com/pmorissette/bt/issues/new" title="Open a new issue on Github">submit an issue</a> on Github.'
+project = "bt"
+copyright = """bt was created by Philippe Morissette.
+If you find a bug, please <a href="https://github.com/pmorissette/bt/issues/new" title="Open a new issue on Github">submit an issue</a> on Github.
+"""
 
 # The version info for the project you're documenting, acts as replacement for
 # |version| and |release|, also used in various other places throughout the
 # built documents.
 #
 # The short X.Y version.
-version = '.'.join([str(x) for x in bt.__version__])
+version = bt.__version__
 # The full version, including alpha/beta/rc tags.
 release = version
 
 # The language for content autogenerated by Sphinx. Refer to documentation
 # for a list of supported languages.
-#language = None
+# language = None
 
 # There are two options for replacing |today|: either, you set today to some
 # non-false value, then it is used:
-#today = ''
+# today = ''
 # Else, today_fmt is used as the format for a strftime call.
-#today_fmt = '%B %d, %Y'
+# today_fmt = '%B %d, %Y'
 
 # List of patterns, relative to source directory, that match files and
 # directories to ignore when looking for source files.
 exclude_patterns = []
 
 # The reST default role (used for this markup: `text`) to use for all documents.
-#default_role = None
+# default_role = None
 
 # If true, '()' will be appended to :func: etc. cross-reference text.
-#add_function_parentheses = True
+# add_function_parentheses = True
 
 # If true, the current module name will be prepended to all description
 # unit titles (such as .. function::).
-#add_module_names = True
+# add_module_names = True
 
 # If true, sectionauthor and moduleauthor directives will be shown in the
 # output. They are ignored by default.
-#show_authors = False
+# show_authors = False
 
 # The name of the Pygments (syntax highlighting) style to use.
-pygments_style = 'sphinx'
+pygments_style = "sphinx"
 
 # A list of ignored prefixes for module index sorting.
-#modindex_common_prefix = []
+# modindex_common_prefix = []
 
 
 # -- Options for HTML output ---------------------------------------------------
 
 # The theme to use for HTML and HTML Help pages.  See the documentation for
 # a list of builtin themes.
-#html_theme = 'default'
+# html_theme = 'default'
 
 # Theme options are theme-specific and customize the look and feel of a theme
 # further.  For a list of options available for each theme, see the
 # documentation.
-#html_theme_options = {}
+# html_theme_options = {}
 
 # Add any paths that contain custom themes here, relative to this directory.
-#html_theme_path = []
+# html_theme_path = []
 
 # The name for this set of Sphinx documents.  If None, it defaults to
 # "<project> v<release> documentation".
-#html_title = None
+# html_title = None
 
 # A shorter title for the navigation bar.  Default is the same as html_title.
-#html_short_title = None
+# html_short_title = None
 
 # The name of an image file (relative to this directory) to place at the top
 # of the sidebar.
-#html_logo = None
+# html_logo = None
 
 # The name of an image file (within the static path) to use as favicon of the
 # docs.  This file should be a Windows icon file (.ico) being 16x16 or 32x32
 # pixels large.
-html_favicon = 'favicon.ico'
+html_favicon = "favicon.ico"
 
 # Add any paths that contain custom static files (such as style sheets) here,
 # relative to this directory. They are copied after the builtin static files,
 # so a file named "default.css" will overwrite the builtin "default.css".
-html_static_path = ['_static']
+html_static_path = ["_static"]
 
 # If not '', a 'Last updated on:' timestamp is inserted at every page bottom,
 # using the given strftime format.
-#html_last_updated_fmt = '%b %d, %Y'
+# html_last_updated_fmt = '%b %d, %Y'
 
 # If true, SmartyPants will be used to convert quotes and dashes to
 # typographically correct entities.
-#html_use_smartypants = True
+# html_use_smartypants = True
 
 # Custom sidebar templates, maps document names to template names.
-#html_sidebars = {}
+# html_sidebars = {}
 
 # Additional templates that should be rendered to pages, maps page names to
 # template names.
-#html_additional_pages = {}
+# html_additional_pages = {}
 
 # If false, no module index is generated.
-#html_domain_indices = True
+# html_domain_indices = True
 
 # If false, no index is generated.
-#html_use_index = True
+# html_use_index = True
 
 # If true, the index is split into individual pages for each letter.
-#html_split_index = False
+# html_split_index = False
 
 # If true, links to the reST sources are added to the pages.
-#html_show_sourcelink = True
+# html_show_sourcelink = True
 
 # If true, "Created using Sphinx" is shown in the HTML footer. Default is True.
-#html_show_sphinx = True
+# html_show_sphinx = True
 
 # If true, "(C) Copyright ..." is shown in the HTML footer. Default is True.
-#html_show_copyright = True
+# html_show_copyright = True
 
 # If true, an OpenSearch description file will be output, and all pages will
 # contain a <link> tag referring to it.  The value of this option must be the
 # base URL from which the finished HTML is served.
-#html_use_opensearch = ''
+# html_use_opensearch = ''
 
 # This is the file name suffix for HTML files (e.g. ".xhtml").
-#html_file_suffix = None
+# html_file_suffix = None
 
 # Output file base name for HTML help builder.
-htmlhelp_basename = 'btdoc'
+htmlhelp_basename = "btdoc"
 
 
 # -- Options for LaTeX output --------------------------------------------------
 
 latex_elements = {
-# The paper size ('letterpaper' or 'a4paper').
-#'papersize': 'letterpaper',
-
-# The font size ('10pt', '11pt' or '12pt').
-#'pointsize': '10pt',
-
-# Additional stuff for the LaTeX preamble.
-#'preamble': '',
+    # The paper size ('letterpaper' or 'a4paper').
+    # 'papersize': 'letterpaper',
+    # The font size ('10pt', '11pt' or '12pt').
+    # 'pointsize': '10pt',
+    # Additional stuff for the LaTeX preamble.
+    # 'preamble': '',
 }
 
 # Grouping the document tree into LaTeX files. List of tuples
 # (source start file, target name, title, author, documentclass [howto/manual]).
 latex_documents = [
-  ('index', 'bt.tex', 'bt Documentation',
-   'Philippe Morissette', 'manual'),
+    ("index", "bt.tex", "bt Documentation", "Philippe Morissette", "manual"),
 ]
 
 # The name of an image file (relative to this directory) to place at the top of
 # the title page.
-#latex_logo = None
+# latex_logo = None
 
 # For "manual" documents, if this is true, then toplevel headings are parts,
 # not chapters.
-#latex_use_parts = False
+# latex_use_parts = False
 
 # If true, show page references after internal links.
-#latex_show_pagerefs = False
+# latex_show_pagerefs = False
 
 # If true, show URL addresses after external links.
-#latex_show_urls = False
+# latex_show_urls = False
 
 # Documents to append as an appendix to all manuals.
-#latex_appendices = []
+# latex_appendices = []
 
 # If false, no module index is generated.
-#latex_domain_indices = True
+# latex_domain_indices = True
 
 
 # -- Options for manual page output --------------------------------------------
 
 # One entry per manual page. List of tuples
 # (source start file, name, description, authors, manual section).
-man_pages = [
-    ('index', 'bt', 'bt Documentation',
-     ['Philippe Morissette'], 1)
-]
+man_pages = [("index", "bt", "bt Documentation", ["Philippe Morissette"], 1)]
 
 # If true, show URL addresses after external links.
-#man_show_urls = False
+# man_show_urls = False
 
 
 # -- Options for Texinfo output ------------------------------------------------
@@ -241,16 +237,22 @@
 # (source start file, target name, title, author,
 #  dir menu entry, description, category)
 texinfo_documents = [
-  ('index', 'bt', 'bt Documentation',
-   'Philippe Morissette', 'bt', 'One line description of project.',
-   'Miscellaneous'),
+    (
+        "index",
+        "bt",
+        "bt Documentation",
+        "Philippe Morissette",
+        "bt",
+        "One line description of project.",
+        "Miscellaneous",
+    ),
 ]
 
 # Documents to append as an appendix to all manuals.
-#texinfo_appendices = []
+# texinfo_appendices = []
 
 # If false, no module index is generated.
-#texinfo_domain_indices = True
+# texinfo_domain_indices = True
 
 # How to display URL addresses: 'footnote', 'no', or 'inline'.
-#texinfo_show_urls = 'footnote'
+# texinfo_show_urls = 'footnote'
diff --git a/docs/source/examples-nb.ipynb b/docs/source/examples-nb.ipynb
index 035ec177..5f036eb6 100644
--- a/docs/source/examples-nb.ipynb
+++ b/docs/source/examples-nb.ipynb
@@ -1,18 +1,21 @@
 {
  "cells": [
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## SMA Strategy\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "\n",
-    "SMA Strategy\n",
-    "------------\n",
-    "\n",
     "Let's start off with a Simple Moving Average (SMA) strategy. We will start with a simple version of the strategy, namely:\n",
     "\n",
-    "* **Select** the securities that are currently above their 50 day moving average\n",
-    "* **Weigh** each selected security equally\n",
-    "* **Rebalance** the portfolio to reflect the target weights\n",
+    "- **Select** the securities that are currently above their 50 day moving average\n",
+    "- **Weigh** each selected security equally\n",
+    "- **Rebalance** the portfolio to reflect the target weights\n",
     "\n",
     "This should be pretty simple to build. The only thing missing above is the calculation of the simple moving average. When should this take place? \n",
     "\n",
@@ -23,9 +26,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 24,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -34,9 +40,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 25,
+   "metadata": {
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 26,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -50,7 +73,7 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
@@ -59,19 +82,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 27,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA24AAAE+CAYAAAD1QEO5AAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nERERERGRJPf/pbd2skzgHbgAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b92af0c7bd0>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 305,
+       "width": 879
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -81,7 +113,7 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
@@ -98,9 +130,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 28,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -157,21 +192,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 29,
    "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "above50sma\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00"
-     ]
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
-   ],
+   },
+   "outputs": [],
    "source": [
     "# first we create the Strategy\n",
     "s = bt.Strategy('above50sma', [SelectWhere(data > sma),\n",
@@ -195,32 +223,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 30,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA24AAAE3CAYAAADSTxJxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nyLcPcgAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAABt4AAAJhCAYAAADG0cR9AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAABYlAAAWJQFJUiTwAAEAAElEQVR4nOzdd3hc5Zn+8XuaepdluXd83AtgMGBqaKEEAgQ2oYRN3xQ2fbPpZZMf6QmEbDoshEBCh4RebJoBAwb3494t2+pdU39/zGh0zhRppBlpJPn7uS5fc8p7zryS5Qk5t57ndYRCIQEAAAAAAAAAAABIjzPbEwAAAAAAAAAAAABGA4I3AAAAAAAAAAAAIAMI3gAAAAAAAAAAAIAMIHgDAAAAAAAAAAAAMoDgDQAAAAAAAAAAAMgAgjcAAAAAAAAAAAAgAwjeAAAAAAAAAAAAgAwgeAMAAAAAAAAAAAAygOANAAAAAAAAAAAAyACCNwAAAAAAAAAAACADCN4AAAAAAAAAAACADCB4AwAAAAAAAAAAADKA4A0AAAAAAAAAAADIAHe2JwAAAAAAkmQYxjRJu/p52ftN03w487PpnWEYd0j6sKSfm6b55Zhz1ZK6TNNsHKT3XinpzCSnfZJaJW2X9KikX5um2TIY8zhWGYYRimwuNE1zQ1YnAwAAAGDYIXgDAAAAMBy9KakrhXF1gz2R/jAM4/OSvifpNEmNg/x2+yTtjTmWI2mMpGWRPx82DONM0zQPDvJcAAAAAAAieAMAAAAwPH3ANM3d2Z5EL/5b0s2KD/5+OYRz+Itpmt9NdMIwjFMl/UvSLEm3SrpyCOc12s2NvO7M6iwAAAAADEsEbwAAAADQT6ZpHpJ0KNvzSMY0zVcNw/iapN9JutwwjPGROSNNpmluyfYcAAAAAAxfzmxPAAAAAAAwKB6NvDolnZDNiQAAAADAsYKKNwAAAACjimEYZ0v6ssJrnOVLWiPpO5IKJT0h6QHTNK+KjJ0maVfk0mLTNFtj7rVA0npJMk3TYTl+h6QPS/q5aZpfNgzju5H36LbeMAxJOlvS5yRdIek20zQ/m2TOz0fG3mCa5l0D/NJjNVm2iyPvM03hr3ejpKsl/VnSUkn1kn5kmuZvIuPKJH0+Mu9ZkoKSTEn3SvqNaZodCb6GfEmflnRD5Jo2hb/f35T0A4W/X/9umuYdkfHfVfh79pXI2G9KqpC0Q9Llpmluj4ybLulrks6XNEFSi6TXJP3SNM3nEswjR9JnJX1Q0jyFg8eDkp5X+O9rS5rjQ5HNhaZpbog5d4WkTyr8s1coqUbSs5J+bJrm1pixN0q6XdJtkr4b+fM+SdWSjkj6p6TvU6kIAAAAjCxUvAEAAAAYNQzDuEnSc5IukuRXOCw6VdILkt47iG+9V9Irlv21kf0mSXdGjn3AMAxXgjlPknSmwuHTgxmc0yzL9r6Yc6WSnpK0QNImSWWSNkfmc5ykdxUOxeZJ2qpwWLdU0k8kvWYYxriYr6FE0tOSfha553ZJDQqHcG9JOq6XeV4p6beSfJJ2SypSZP00wzAuUDj4/ISksQoHhh2SLpb0rGEY1rBThmE4JD0k6eeSlkjaE/m6xkr6mKS3DMM4eaDjkzEMw2kYxl8lPaBwQNgqaZ2kckkfkfRuJJRLZIKktxUOLf2StkmaJOlTklZHQlAAAAAAIwTBGwAAAIBRwTCMxZJ+IcmhcMXbRNM0T5Q0TdJqSTcN1nubpvkX0zRXWA7dYJrmCtM010p6XFKtwmHOuQku/6DC/9/sQdM02zI4re6vt1bSGzHnJikcYM00TfP4yP7zhmF4JD0maYqkVZKmmaa5xDTNhZLmKBwmLZL0j5j7/UjSCoWr1RaaprnYNE1D0hkK/32c2ss8l0v6laTppmnOlXSiaZrBSHXePxSuHPuBpHLTNI83TXOypMskNUv6rmEYl1vudVHkz9bI/eZFvr4Jkh6WVBCZ60DHJ/NNSdcqHLReaprmFNM0lylcvfZLSXmS7o5UUMZ6v8J/FyeapjnDNM0FCn+/2iVNVTh0BAAAADBCELwBAAAAGI52GYYR6uPPHTHXfFGSS9LfTNP8uWmaIUkyTbNG0uUKt1MccqZp+hRu0SiFQ7ZY10Ve024xaRhGrmEYCwzD+JXClVaS9APTNL0Jhv/MNM0jkTnWR75f/ybJkHRY0mWmae63fB1bFa40a5N0umEY7428Z5XC1VkhSVeaprnJcs1Lkv69j2l7JX3L8vdVGzn+ZUklku40TfPb1q/BNM1HFW4/KdlbfC6MvD4RM/cWSV9QuCpvQxrj4xiGURiZqyR90jTNf1ru02Ga5hclPaJw+PatJLe5wTTNty3XrZZ0T2R3eW/vDwAAAGB4YY03AAAAAMPRm5K6+hizNWb/osjr/8UONE2zzjCMvym8llc23Bl57/cbhvEp0zQ7pegacosUXlMsbr2yPnwnttVijJDCLRRvTXJ+dYJjF0de7zZNsyn2pGma+w3DeFDS9ZIuUXgNt/cqHHi+bprmuwmu+adhGHsVrqJLZEPs2noR74u83pPgnBQOM2+TtMQwjHGRgHVH5NxHDMPYIOkh0zTrIvPYLemCmHv0d3wipyu8ht5RSfclGXOLwlV67zUMw2WaZsByrs40zdcTXGNGXktSmAMAAACAYYLgDQAAAMBw9IFI8JESwzCKJI2J7G5MMmxNupMaKNM01xiGsVnSXIXDrQcip7qr3f5mmmawn7fdp/Dact1CkjoVrux7V9L9kSq1ZA4lODY78rq2l+veVjh46x47N/K6rpdr3lHy4C1uHoZhFEuaHNn9kWEY30xybUDh/19rSKpRuLLsdUknS/qjpN8bhrFG4fXsHjNN882Y6/s7PpHu78O6Xv4Ou6vZiiWNk3TAcu5gkms6Iq9x6wICAAAAGL4I3gAAAACMBqWW7UTVU1KWWk1a3KXwemEfkvSAYRiOyHb3uf76i2ma301jPp0JjhVHXlt6ua77+9s9tjLy2tv6dL3dL9E8rFVeS3u5tlupJJmm6TUM42xJX5L0YUmzFA7VTpb0bcMwNircDvKVgYxPoj/fM+v4bonagFo5+jgPAAAAYBgheAMAAAAwGljbIhbH7HfL7+MeiQKOggHPKN5fJf2PpIsiFV2LFa7qWmeaZm/VYkOpOyDqrb1hd8jZPbY7cIsNlKx6O5eINcSrsqz71ifTNDsU/j7/j2EYsyW9R9L5ki6UNF/SU4ZhGKZpHhjI+AT68z2zjgcAAAAwCjmzPQEAAAAASFdkjbA9kd0lSYbNS3DMb9nOTXB+fBrTsjFNc5+klZLyFF47rHsNs4FUuw2W7nXFeqsyOyHyuj3yuinyurCXaxb0axKm2ajwmmmSNCfRGMMwXIZhnGsYxizDMFyRY5WGYZxmGEZV5D5bTdP8X9M0369wNVuNpEJJlw9kfLLpRl4XGYaR7P9jd3/P2pW8tSQAAACAUYDgDQAAAMBo8Ujk9ROxJwzDyJF0bYJrGqzDEpx/X4JjvQlFXpO1B7zTct+LJQUl/a2f7zGY/hV5/ZBhGKWxJw3DmCTpssju05Zr/JKWGYYRF7AZhnGWpBkDmMvjkddPJTl/raRnFF4/rihy7G5JL0v6aOzgSMXa5siua4DjE3lZUrPCawx+IMmYz0RenxvAWn4AAAAARhCCNwAAAACjxc8UbjF5qWEYPzIMwyNJhmEUSbpD0nGxF5im2Sapu83j/+sOmwzDcBuGcZOkG/s5h+42glOTnH9A4TaKVyhcgfecaZrDqQLq7wpXcFVLejgStEmSIm0Y/6Vw+83VigSdkfn/WeGw8X7DMAzLNcdr4BV9P1F4/bdrDcP4oWEYeZb7XiDpN5HdP5qm2d1atDvE/IZhGOdbb2YYxgckna5w2PnUAMfHiVRb/jyy+3vDMC623CPPMIxfKBy0eiV9p8+vGgAAAMCIxhpvAAAAAIaj+wzD6Eph3IumaX5dCrdyNAzjakkPS/pvSR83DGOXwq0KixUO2BYluMe3JT2ocMiyzzCMrZKmSKqS9CtJ/y77Gl29WSfpNEn3GoaxWdI3TNPsrgyTaZqthmE8JOm6yKHh1GZSpml6DcO4XOGg6SxJuwzD2Khwxdd8hcO1dZKuMU0zYLn0K5JOVLil4ibDMDYo/P8350naL+mwwmGetbVnX3PZZBjGDQp/j74u6XOGYZgK/710B5vPSvovy2V3KRxyXanw2mz7FW4XOSHyR5K+bpqmOcDxyfxQ0lxJ/ybpn4Zh7I18zd0/e+2SPmaa5tpUv34AAAAAIxMVbwAAAACGoxMVDrD6+mNbty0Sci2VdE/k0EJJGyVdIumhRG9kmuYjks6R9KTC1U1zJe2SdL1pml/o57w/IukFhQOq2UpQZaeesK1N4cBvWDFNc4vC6+T9j8LVb7MlTZa0RtLnJZ0cWa/Oek2LpDMkfU/SNoXbdo5RuBLuJIUrESWpo59zuS8ylz9Lqlc4OB1jmctFpml6LeNDkj4o6T8lvSapJHK9U+G///eYpvn/Bjq+l3kGJH1I0jUKh4HFkbkekfRbSUtN07wn+R0AAAAAjBaOUCjU9ygAAAAAGOEMw/iuwq3+HjBN86oszuNGSbdLuss0zRuyNY+hZBjGYUljJa0wTfOVbM8HAAAAAAYLrSYBAAAAYGj9e+T1L1mdRYYYhjFf4bXf1pqm+f4E55cqHLr5Ja0f4ukBAAAAwJAieAMAAACAQWYYxvEKt0r8uMItGdebprkyq5PKnG0Kt2i83DCML0n6Vff6b4ZhGJL+Ghl3j2mazVmaIwAAAAAMCYI3AAAAABh8Tyhc9SWF15G7KYtzySjTNL2GYXxe0h2Sfibpa4Zh7JZUJmmmwuvdvanwOmoAAAAAMKo5sz0BAAAAADgGvCSpS5Ip6QOjqNpNkmSa5p2Slkq6S+HKvvmSyiW9IenzCq/t1pC1CQIAAADAEHGEQqFszwEAAAAAAAAAAAAY8ah4AwAAAAAAAAAAADKA4A0AAAAAAAAAAADIAII3AAAAAAAAAAAAIAMI3gAAAAAAAAAAAIAMIHgDAAAAAAAAAAAAMsCd7QkMR4ZhrJU0XVKrpO1Zng4AAAAAAAAAAACGzixJRZJ2maa5tD8XErwlNl1SaeTPxCzPBQAAAAAAAAAAAENven8vIHhLrFVSaXFxsebOnZvtuQAAAAAAAAAAAGCIbN68WS0tLVI4L+oXgrfEtkuaOHfuXN11113ZngsAAAAAAAAAAACGyPXXX6833nhDGsByZM7MTwcAAAAAAAAAAAA49hC8AQAAAAAAAAAAABlA8AYAAAAAAAAAAABkAMEbAAAAAAAAAAAAkAEEbwAAAAAAAAAAAEAGELwBAAAAAAAAAAAAGeDOxE0Mw3BJ+oykj0oyJLVLelPSr03T/FeC8bMlfU/SCkmVkrZL+qOk20zTDCYYP0HSdySdJ2m8pH2S7pL0E9M0uzLxNQAAAAAAAAAAAADpyEjwJul2SddLapb0nKQcSWdKOs8wjG+bpvmD7oGGYSyW9KKkEkmvSFoj6WxJt0g6WdJ11hsbhjFJ0mpJkyStlfS2pNMkfV/SOYZhnG+api9DX8eAhEIhNTc3q6GhQZ2dnQqFQtmcDjCsOBwOeTweFRcXq6SkRHl5edmeEgAAAAAAAAAAgyLtVpOGYVytcOhmSpptmubFpmmeJ+l4SU2SvmsYxnGRsQ5Jdyocul1vmuYK0zSvkDRb0jpJ1xqGcWXMW/xW4dDtW6ZpHm+a5lWSZkl6VtJZkm5K92tI15EjR3Tw4EF1dHQQugExQqGQvF6v6urqtHv3brW2tmZ7SgAAAAAAAAAADIpMVLx1V6h9zTTNw90HTdPcaBjG3ZI+Lel8SdsUbhW5SNJK0zT/ahl71DCM/1C4Au4mSQ9IkmEYhqRLJO2Q9CPL+DbDMD4qaaekz0n6eQa+jgFpbW1VfX29HA6HqqurVVJSIpfLla3pAMNOMBhUZ2enGhoa1NzcrP3792v69OnKzc3N9tQAAAAAAAAAAMiotCveJF0laaGkJxKcK468+iOvF0ZeH44daJrmq5KOSFphGEb3dRdIckh6LHbtN9M09yrcdnKqYRjz0vkC0tHc3CxJqqysVHl5OaEbEMPpdKqgoEATJkxQSUmJQqGQmpqasj0tAAAAAAAAAAAyLu3gzTRNr2maG0zT7LIeNwzjEkkfkNSqnqBtfuR1Q7LbRebUHaT1NX5L5HVhP6edMe3t7ZKk4uLiPkYCxzaHw6Hy8nJJUktLS5ZnAwAAAAAAAABA5mWi1WSUYRj5ku5SODibK2mvwmu5dbegHB95PZTkFt3Hqwc4fsj5/eFivpycnGxNARgx8vLyJEk+ny/LMwEAAAAAAAAAIPMyGrxJmiLpyphjiyS9GNkujLy2J7m+I/JaNMDxSRmGcaOkG/saF7EkxXEKhUKSwu30APTO4XBI6vl3AwAAAAAAAADAaJLp4G2/pDGSgpLOlfRrSbcahlFomuaPJQUi4/p66t6dYvV3fG+mSTozhXEABkl38AYAAAAAAAAAwGiU0eDNNM02SW2R3fsMw9gn6VVJXzcM49eWc/lJbtF9vDXy2t/xvdktaVUK46RwxVtpimMBAAAAAAAAAACAjFe82Zim+ZphGDskzZI0Q9JBhUOtcZK2JLgkdk23g5HXcUneoq814KxzuUPSHX2NkyTDMFaK6jgAAAAAAAAAAAD0Q1oLkxmG4TAM4yeGYdxrGEayEK8r8uqRtCGyPS/RvSTNUbi95KbI4aTjI+ZGXtf3a+IYth588EEZhqFvfOMb2Z7KgH3961+XYRhJ/7z66qtx1zz++OO65pprdMIJJ+ikk07SJz/5Sa1bty4LswcAAAAAAAAAAAOVVsWbaZohwzAul3ScpDslPW49bxjGdEmGwi0jTUlPSvqqpMsl/TbmdqdKqpK0yjTNlsixJyOvlxqG8TXTNIOWe0+RtFTSHtM0NwkYJjZv3iyHw6FLLrkk4fmqqirb/q233qrf/OY3Kiws1PLly9Xc3KxVq1bp5Zdf1m9/+1udeSbFlwAAAAAAAACQrh3NR3X3tjWaWlyhG447WQ6HI9tTwiiUiVaTf5D0U0m3GIaxzjTN/ZJkGMZESfdG3uMXpml2GoaxStJGSecZhvFx0zT/GBlbpZ4g7ufdNzZNc5dhGE9KulDS9yV9MzK+UNKfJLms44Fs8/l82rZtm6ZMmaKf/exnfY7fsGGDfvOb32jixIm65557VF1dLUlauXKlPvOZz+jrX/+6nn32WeXnJ1vmEAAAAAAAAAAQy2w8rDa/V4srJ8rlCDf/+/3ml9Xk7dCB9kYtqZykxZWTsjxLjEZptZqM+LXClW4zJW0xDONJwzCeVXgNt5Mi574lSZGKtY9IapX0B8MwXjMM40GFq+EWSfqjaZqPxdz/M5JqJH3DMIz1hmHcL2mbpPMkPSHpfzPwNQAZsX37dvl8Ps2fPz+l8bfffrsk6XOf+1w0dJOks846S1dccYVqa2v1+OOPJ7scAAAAAAAAABBjV0utfrH+Of1+80t6tWZn9HiTtyO6/X9bX8vG1HAMSDt4M03TJ+l9km6StFXSmZJOUbiy7VOSLjVN02sZ/4akkyU9oHCLyvMl7YmM/Y8E99+pcIB3h8KtKC+W1CDpvyVdYZqmP92vAYOvsbFRv/rVr3T55Zfr+OOP14IFC3TGGWfoK1/5inbu3JnwmldeeUVXX321Fi1apBUrVuib3/ymampqEo7dtm2bvvKVr2jFihVasGCBTj/9dH31q1/Vjh07omMCgYBWrFghwzB04MCBhPe54oorZBiGNm3q6V7a1NSkn/70pzr//PO1cOFCLV++XDfddJO2bNkSd333dakGby+99JIcDofOOeecuHPnnnuuJOnFF1+0HV+1apU+8pGPaMWKFVq4cKHOPfdcffe739WhQ4ds42699VYZhqEXX3xRTz/9tK666iotXrxYK1as0Pe//311dHQoEAjoD3/4g84//3wtXrxYl1xyif7+978nnOvjjz+uj370ozrllFO0YMECLVu2TNddd53++c9/pvS1AgAAAAAAAMBQeHTP+uj2X7e/kXBMm9+rUCg0VFPCMSQTrSZlmmZA0q2RP6mM3yTpqn7cf5+kfx/Y7JBttbW1uuaaa7R//35NnTpVp556qjo6OrRhwwY9+uijeuGFF/TYY49p/Pjx0WvefPNNPfTQQ5owYYLOOussmaap++67TytXrtQ999yjyZMnR8c+++yz+sIXviCv16s5c+bohBNO0K5du/TII4/o6aef1i233KIzzjhDLpdLl1xyiW6//XY98cQT+tjHPmab5+7du7Vx40bNmjVL8+bNkyQdPHhQN9xwg/bt26eJEyfqjDPOUF1dnZ5++mm98MILuuWWW3T22WdH77F582ZJUjAY1Oc+9zmtXbtWLS0tMgxD119/vS699NLo2CNHjqipqUnjxo1TaWlp3PdtxowZkqStW7dGjz3zzDO66aab5Ha7deKJJ6q4uFibNm3SPffco2eeeUYPP/xw3Bpyf/3rX7Vq1SotWLBAp5xyitasWaO7775btbW1cjqdev7553X88cdr4sSJeu211/Ttb39bfr9f1157bfQe3/3ud3XPPfeooKBAxx9/vAoKCrRjxw6tWbNGa9asUX19vW644YbUfygAAAAAAAAAjEqdfp9+v+Vldfp9+vic01SRVzjkc3A74muOugLxNTz/veYRfW7+WZpYWDYEs8KxIhOtJoFe3Xbbbdq/f79uvPFGPfXUU/rNb36jP//5z3ruued0/PHHq6WlRQ8//LDtmt27d+uyyy7Tk08+qVtuuUVPPPGErr32Wh09elTf/e53o+OOHDmiL3/5y/L7/frJT36iRx55RL/+9a/16KOP6oc//KE6Ozv1xS9+UbW1tZKkyy67TJIStm/817/+JUl63/veFz325S9/Wfv27dPHP/5xPfPMM7rtttt077336s9//rMcDoe+8pWvqK6uLjq+u+Lt5z//uTZv3qylS5dq5syZWr9+vb785S/rRz/6UXTs0aNHJSkuKOvWfdx6/x//+MdyOp16+OGHdfvtt+uWW27RU089pYsvvli1tbW699574+6zatUq/fCHP9QDDzyg3/3ud7r77rvlcDj01FNP6dVXX9WDDz6oO+64Q7fffru+973vSZL+8Y9/RK9ft26d7rnnHk2dOlXPPfec/vznP+vWW2/V448/rq997WuSwuEeAAAAAAAAgGOb2XhY/7n6Pm1qOKSdLbVJq80GW0lOXtwxa5vJbg1d7bpv59tDMSUcQzJS8YbePbN/sx7buz5hoj5c5brcunTKQp03aW7a9yovL9fpp5+uz33uc3I4HNHjRUVFuuSSS/T222/HtUksKyvTN77xDbnd4R9Rp9Opr33ta3rmmWf08ssva9++fZo8ebL+8Y9/qKOjQ9dcc000VOt21VVX6a233tKDDz6ov//97/rMZz6juXPn6rjjjtPGjRu1d+9eTZkyJTr+8ccfl8PhiFalvfPOO3rrrbc0f/58felLX7LN/bTTTtO1116rv/zlL7r//vv1yU9+UqFQKNp+8qtf/ao+8pGPRK957bXX9NnPflb/93//p+XLl+ucc85RR0f4gz4/Pz/h9y03N1eS1N7eHj129OhRud1uW1jncrn0hS98QSeeeKIWLVoUd58FCxboqqt6CkznzJmjmTNnavv27brhhhs0a9as6LkLLrhA3/rWt7R3797osdbWVp1//vm66KKLVFFRYbv3Nddco5tvvlkHDx5M+DUAAAAAAAAAGH0CwaAe27tenQGfLpu6WPluj7731r90sL3JNm5jw6EkdxhcxR578BYMBdWYIHiTpM2NiZc3AgaKirch8MyBLSMqdJPCZbfPHIhfw2wgbrrpJv3pT39SUVFR9Fh9fb1Wr16tN998U5Lk8/ls15x11lm28ZKUk5OjFStWSFL0ujVr1kiS3vve9yZ874suusg2TuqpaLNWvW3ZskXbt2/XsmXLNGHCBEnS66+/Lkk66aSTbKFbt9NPP12S9MYb4d/acDgcWrVqVXQtNOs1y5cv1+c+9zlJ0t133y0pHCamIhgMRrdPPPFEdXZ26qqrrtJtt92mDRs2KBQKafLkyfrQhz6kBQsWxF2/ZMmSuGPl5eWSwiGcVUlJiSSpq6sreuzUU0/Vrbfeavsed3V1afPmzXr44YflcDji/v4AAAAAAAAAjF6vHdmlJ/Zt1AsHt+qJfRtV094cF7p1O9rROsSzk5yyP89t8nYmrHiTpFwn9UnILH6ihsB5E+eMyIq38ybO6Xtgivbu3au//vWvevvtt7Vr1y61toY/bLvDqdhFLCdOnJjwPtXV1ZLCLSatr8nGT5o0SZKirSalcPD2y1/+Uo8//rg+9alPSUrcZrK7Cu/222/X7bffnvRrq6np+Y2I4uJiFRcXJxx3zjnn6Ec/+pE2btwoSSooKJBkD7msuo93j5OkH/zgB/r0pz+tzZs365ZbbtEtt9yiyspKnX322brmmmsSVrwlWj+u+/teVlaW8Hiszs5OPfDAA3r++ee1fft2HT58WKFQSA6HgwVIAQAAAAAAgGPMv/ZuiG4/tX+TZpUkXk5Hkn7y7tP6/omXKN+dMxRTkyQFQkHbvtl4WK3+xM9hx+QVJTwODBTB2xA4b9LcjLRsHKkee+wx/dd//ZcCgYCmTZumM844QzNnztTChQtVU1Ojb3/723HX5OXF9+C16m5B2Vfo010tlpPT86E+btw4LVu2TK+//rp27typGTNm6PHHH1dubq4uvPDCuGuXLFmiyZMnJ32P2PaLyYwZM0ZSOMSSpLFjx0qyh4JWidaAmzBhgh588EG9/vrreu6557R69Wpt375d999/vx544AF961vf0rXXXmu7T/f3aqAOHz6s6667Tnv37lVJSYkWLVqkCy+8UHPmzIm2zbRW5QEAAAAAAAAY3Vwx3byStXGUpGZfp/a2Nsgoqx7saUXFBm+3b12t06pnJhxbMISBII4NBG8YVG1tbfrOd74jp9Op//3f/9WZZ55pO3/XXXclvK67ki3WgQMHJIXDMykcXu3atUv79++3rdfWbd++fZKkyspK2/HLLrtMr7/+up588kmtWLFC+/fv1wUXXGCrVusOvM4880x9+tOf7vNr3bRpk+68806NHTtWX/ziF+PO79+/X1JP1V5FRYUqKytVU1Oj1tbWuNaaO3bskCTNnj3bdtzpdOqUU07RKaecIikcjN1111364x//qJ/97Ge6+uqr5fF4+pxvqn71q19p7969uvLKK/W9733Pdu/W1lZCNwAAAAAAAOAY43bYg7f6rrZex7f5vYM5nTixwZskvXJ4R8KxvuDI6VSHkYE13jCoduzYoba2Ns2fPz8udJOkV155RZLiwpvVq1fHVbN1dHToxRdflNPp1IknnihJWrZsmSTpySefTPj+TzzxhKTwOm1WF1xwgfLy8vTCCy/oqaeekmRvMykp+h4vvvhiwsq6e++9V5dccoluu+02SZLL5dJDDz2ku+66K9pK0+rhhx+W1LM2XPd2IBDQCy+8EDf+2WeflaTo92337t269NJL9fGPf9w2rrq6Wl/+8pdVXl6u9vZ2NTc3J/xeDNS7774rSfrYxz4WF+h1//1J8X+HAAAAAAAAAEan2LaRT+zbaNu/cNI8LR87PbrfPuTBW+rL43iDgUGcCY5FBG8YVN2VaVu3bo1Wn0lSIBDQ//7v/0YDp9h1zrZv365f/epX0X2v16tvfetbamxs1IUXXhitGrv66qtVUFCg++67T48++qjtHg888IAeeeQRFRcXx4VqRUVFOuecc7R+/Xo99thjKisriwsGly9frjlz5mjt2rX65S9/Kb+/5zcfNm3apF/+8pfatm2bDMOQJBmGoaVLl6q9vV3f/OY3bV/Tiy++qDvvvFP5+fm68cYbo8c/+MEPyuFw6Gc/+5nt+7Ny5Uo99NBDqqqq0iWXXCJJmjx5surr6/Xyyy9HQ7lur7zyihoaGjRx4sS46r50jR8/XpL0/PPP246/8847+sEPfhDdT7ZWHQAAAAAAAIDRpSvg6/X8WRNmq9DTE861JVlfbbD4+1EkQPCGTKPVJAbV2LFjddFFF+nxxx/XpZdeqpNOOklut1vr1q3T0aNHNWvWLG3fvj1unbPFixfrd7/7nZ599lnNnDlTGzZs0IEDBzRz5kx961vfio6rrq7Wj3/8Y33xi1/UV77yFf3lL3/R1KlTtXv3bm3ZskUFBQX66U9/Gg3qrC677DI9/vjjOnz4sD74wQ/GVXM5HA794he/0Ic//GH9/ve/1yOPPKJ58+aptbVVb775poLBoK6//nqde+650WtuvvlmXXfddXriiSf01ltvadGiRaqrq9PatWvldrv185//XJMmTYqOX7JkiT760Y/qT3/6ky699FItX75cbW1tWrNmjdxut372s59F16dzuVz63ve+p89+9rP6zGc+owULFmjixIk6evSo1q5dK5fLZfveZMoNN9ygl19+WT/96U/15JNPasKECdq/f782btyo0tJSVVVV6ejRo6qtre11LTwAAAAAAAAAo0OrL3mQdt7EuSrPLVChpSpu6Cveeg/evrn0vfqfteFuad4ArSaRWVS8YdD96Ec/0mc/+1mNGzdOq1ev1muvvaZx48bp29/+th566CGVlpbqnXfeUX19ffSac889V7feeqvcbrdeeOEFBQIB3Xjjjbr33ntVUVFhu//555+v+++/X5dccomOHj2q5557Ti0tLfrABz6gBx98UGeffXbCea1YsSJ6r9iKuG4zZ87Uww8/rBtvvFG5ubl6+eWXtWPHDp144om65ZZb9I1vfMM2ftq0aXrooYd07bXXyu12a9WqVdqzZ48uuOACPfDAAzr//PPj3uMrX/mKbr75Zs2YMUOrV6/Wjh07dNZZZ+nvf/+7li9fbht77rnn6k9/+pNOP/107d+/X88995z27t2r888/X//4xz+Sfq3pOPPMM/WHP/xBJ5xwgvbu3avnn39ezc3N+uAHP6hHHnlEF154oaT4ijgAAAAAAAAAo08oFOo1eHvPxHCHsGJPfvRYXWfva8BlWm/Bm8vhVHluQXTfR8UbMsyRaO2qY51hGCslnXnSSSfprrvu6nXs5s2bJUlz584d/IkBowD/ZgAAAAAAAICRq8Pv0+dX35fwXIknTz85+f1yOBza1VKrm995WpI0Lr9E3zvxkiGb420bV2ld/YGE58bkFerbx1+sm179hyQpx+nSraddM2Rzw8hw/fXX64033pCkVaZpntWfa6l4AwAAAAAAAAAAKemt2m1KUYUcDockaUxuUfR4i69z0OfVLRQKJQ3dJGlsXrHcjp5oxN9HW0qgvwjeAAAAAAAAAABASlr9yUO0qcU9ywTlutzR7Ta/V0PVfa+uq/e2lhV5hXJGwkFJCoZCCtIZEBlE8AYAAAAAAAAAAFLSW8Xb1KKe4M3jdMlhOffjd59WcAiqy5q8Hb2ez3W55XA4bFVvva0JB/QXwRsAAAAAAAAAAEhJTXtz0nPluQXRbYfDoRxnT9XbrpY6mY1HBnVuklTf1d7r+e45uZyW4C1I8IbMIXgDAAAAAAAAAAB9avV16fF9G5Oet7aXlCRfKGDb7wr4BmVeVr1V5EmSJxK4WSveDrQ3qivgH9R54dhB8AYAAAAAAAAAAPr01tG9avd7JUlOh0MLysfbzue5PLb9bKyd1lfbSE93xZslePvJu8/om2seVecQBIMY/QjeAAAAAAAAAABAn5p8PeunraieqUlF5bbzscFbLG8w0Ov5TOg7eItUvDnt8Uizr1PPHTAHbV44dhC8ARgyoSz8hgsAAAAAAACAzOiIVLtJUnVBiTwOl+18jtMVe4nNjubaQZmXVSDY+zPI7oo3d4K5HuloGZQ54dhC8JYmh8MhSQqy+CLQp+5/J93/bgAAAAAAAAAML6FQSE3enso2fzCgfa0NCoVC6vD3tGLMd3niqsZin/tdO+sk2/7KQ1sHYcZ2KVe8OeLjkTZ/7+vDAalw9z0EvcnNzVVnZ6fa2tpUXFyc7ekAw1pzc7MkKS8vL8szAQAAAAAAABArFArpl+ufl9l0WO+dPF9njJuln69/VrWdbTpr/HFqt6yBlu/2aFJhuR7Su5ISV7udMX6Wnj9o6lB7U/RYMBSUM0HolSnW4M3pcMStM5dojbduRztaB21eOHYQvKWpuLhYnZ2dqqmpkSQVFhbK4XBQ0QMo/D/UoVBIXq9XLS0tqq0Nl5KXl5f3cSUAAAAAAACAoXa4o1lm02FJ0hP7Nuqt2r2q7WyTJL1Vu0/jC0qiY/NdOZpaXKHzJ83VmiN7dNm0RQnvWeC2r/vW5O1UeW7BIH0F9uAtx+lWpyUslJKv8SZJNR3N6vD7lO/ufa06oDcEb2mqqKhQW1ub2tvbtX///mxPBxj2KioqVFJS0vdAAAAAAAAAAEOqM+C37VvXPGvxdarMnx/d7w6nrpy+VFdOX5r0ntb2lJJU39WWkeAtEArq+QOm2vxeXTR5vnJc7ujxbjlOV4LgLVyZl6jiTZK2NNZo6ZjJac8Pxy7WeEuT0+nU5MmTVVVVpby8PCrdgBgOh0Mej0elpaWaPHmyqqur+XcCAAAAAAAADEPtfm+v5+u72qPbBe6clO55+rhZtv3YIGygNtQf1P271uqJfRt17443o8cDwZ7Wkjmu+PaX3cGbJ0FrTClc9Qekg4q3DHA6nRozZozGjBmT7akAAAAAAAAAADAgbb6u3s/7e87nu1Jrx3j6+Fn6+863ovtdMVV1/RUKheRwOLS7pS567JXDO3X+pHkaV1CioKXirXs9N6vuwK27Qi5WjaXKDxgIKt4AAAAAAAAAADjGdfi9qulHtVeq66B5nC4tHzstup9O8Lap4ZD++41H9PtNL8Wde/6gKUkKhHoq3goTVOXlRII3b5J5HG6n4g3poeINAAAAAAAAAIBj2OGOZv3g7SfkCwZSvsadpFVjIrmW6rjYdeRSFQyF9OsNL0iSGuraVd1eYju/seGgJPsab1V5RdrefNQ2rnve/mBQidR0NEer6oCBIHgDAAAAAAAAAOAYdufW1/sVuvVXrqWt40Aq3u7ZvkYrD22zHYtdi622s03/2rteG+oPRo9V5RfF3au74s0fSvz1tvu9avV1qTgnz3b8lZodWn14l86bNEeLKyf1+2vAsYNWkwAAAAAAAAAAHMP2tNb3a/z04sp+jc91WoM3X7+ubfV1xYVuyTy6Z71aLevQVeUVR9d069a9b21JKUlTisqj27GhXoffpzu3va5tzUf0200v9mv+OPYQvAEAAAAAAAAAcAzrb7XbJVMW9mu8teKtM+BXs7dD6+sPpPS+rb6uPsck43G6NLWoIu6YJJ09YXb02Cljp6s6v6d1ZU1Hi+2ahq52234oJrQDrGg1CQAAAAAAAADAMerxvRv6fU15bkG/xue7c6Lbzd4O/eTdZ3S0s1XHV07WJ+ed3uu1HQFvv+fXzelwaFpxpW2dN5cjXI908thpOtTepFZfl66YtsRWVRdX8RYzh79tX6PpJWN0avWMAc8NoxfBGwAAAAAAAAAAx6AWb6ce2bOuX9dML67UxMKyfl1TYAne3qzdG91+u25fn9d2+PvXmtLK5XBqcmG57ZjD4Yieu3L60uhxa5gYW2XXErP/Ys12vVizXdOLKzW+oHTA88PoRKtJAAAAAAAAAACOQQ3e9r4HSfrQrGUqzynQ8WMm6/MLz+n3+xS4Pf2+pls6wZvb6dSs0qqUxnqcPXFJbAvMFm9nwmvqOtsGPDeMXlS8AQAAAAAAAABwDGpOEihZVeQW6Mzxx+mMcbOi1WL9Za14ixUKhZLet76zTX/Y8vKA3lOSSjz5GpNXpPdNXahXD+/SJVMWJB3bvfabJPmDQdu5Fl/i71MgFEx4HMc2gjcAAAAAAAAAAI5Bd257vc8xea5wtdpAQzdJynclD96CoZBcSe59/661A35PKRwaStLFUxbq4ikLex3rdvQEb3EVbzGtJrvFBnSARKtJAAAAAAAAAABGnSZvhx7dvU4b6g/2OiZWdX6JbT/HUgk2UL21mvTGhFxW25qORLcdcuiyqYtSfk+3w6m8frS4tFa8xQdvVLwhdVS8AQAAAAAAAAAwyty7/U29XbdPkvSeiYaunLZULmfyWpyFFRM0oaBMK8bN1LfefCx63J+BcCm/lwDMFwwoX4nP57hcUmSJty8uPEeH2ptTfs8iT26/5mhd4637a+4M+PSnLa9ofZLwkuANiRC8AQAAAAAAAAAwioRCoWjoJknPHTBVlVessyfMto3LdbrVFfRLkj5qnKr8BGuxdQZ8ac/H6XAqz+VJeK/OgE8lykt4XSAUim5X5hWpox9z6W/w5k5Q8Xb/zrVJQ7fY+QHdaDUJAAAAAAAAAMAo8lLNjrhju1pqbfv+YCAaujnliK7lFqvD78/InJK1m1x1aFvSa7osQVuuy63SnPyU36//FW89wZs/Ery9VLO912uoeEMiBG8AAAAAAAAAAIwimxoOxR072tFq22/3e6Pb+e4cORyOhPfqykDFmyQVJKimk6RnD2xJeLzV16V2f89757ncmlxYrjF5RSm9X5G7vxVvllaTvaw7ZxUIErwhHsEbAAAAAAAAAACjRIffp7WWNpPd6rvabPttluCt0GMPxRzqCeEyscabJOW7EgdvyTx/0LTtu50uuZxOfWnRe/QR4xRNK6qQJE0qLEt4fToVb74UA7X+VLz9a+8G/dfrD/Va4YfRgTXeAAAAAAAAAAAYBYKhkD6/+r7ofp7Lrc5AuFVki69LoVAoWtlmrXiLrUbLd7tt1WaZkKzVpFFaHXesM+DTm0f3JhxfkVuok8dO17KqaWroalezt0M3v/t03LjlY6f3a34eR0/w5k214i3FNd66An49umedJOlv29doXd1+nT3B0IKKCf2aI0YGKt4AAAAAAAAAABgFDrU32fbnlY9XnitcfxMIBdVhaRvZ5rNUvMUEb9fNOjm6/aFZyzIyt/wkwVtsZdqh9ib99xsP63BHc6/3czocqswrVI7LXl+0oHyCPjRzmaaXjOnX/Kz38Qb9CqUQqqVa8RbbrnNDwyHdunFlv+aHkYOKNwAAAAAAAAAARoHYVdrG55dqX2uDOgPh9d1avJ3R6rbeKt6WjpmsD81aJm/Ar1OrZ2Rkbi5LRZlVbHh164aVcdV2H5x5YtL7WltEStKn558hl6P/NUc5TpecciiokHzBgC2kTCbV4C1ZBZ21AhGjBxVvAAAAAAAAAACMArHrsZ06boaKPXnR/RZfZ3S71d8V3Y4N3pwOh84cf5zOmzQ3LtgaqA5L0Gflt6yndqSjRXUxa9FJUklOXtyxbrEtLAcSukmSw+FQvuX7UNNur7j7/omXxF2TavDmSxK89WeNOIwcBG8AAAAAAAAAAIwgzd5OPblvo7Y2HrYdjw14xuQVqdjSyvFfezdEtw+0NUa3q/KKBmeiFjNLqxIe94d65vzsgS0JxxS6cxMel6QiT57eN3WRxuQV6d+NU9Kao7Ud5sH2xuj2jOIxqs4viRsfCKa2xluy4C3ZcYxsBG8AAAAAAAAAAIwg9+18Sw/tfle3bFypxq726HFr9dhxJWMlSc2WKrdNjTUKhUIKhIJ69fDO6PFpxZWDPueTqqZqXH6JynLy9W+W1pHdc/YG/LY5davILdCMPtZru3jKAv1w2fu0fOz0tOaY7+oJ3qzBZHlugaRwAGeVcqvJgD/xcYK3UYngDQAAAAAAAACAESAUCldYvXF0j6RwxdQft7yi9fUHFAqFbNVjbmf48X9nTOjT7OvU37avsR2bUlQxmNOWJJXk5Os7J1ysm0+6XFOKyqPHu8Oro52tcRVgRe5cff/ESzPW7rIv1oq3A21N0e2KSPD20Tmn2sanu8ZbskAOI5s72xMAAAAAAAAAAADJhUIh/d+217W2dp8+MON427ntzUf1m42rdP6kuZpV0tPOsTt4u2TKAv1xyyvR4/taG/RyzQ7bPXJdQxMVOB0OSbIFabta6vTJl/6mXGfPHKrzS3TBpLlaVDFxyEI3ScqxzOFIR0t0u7vibUxeka6avlT371orKf013qh4G50I3gAAAAAAAAAAGMa2NB7W6kgbxr9ueyPhmKf3b1bHOF90vzuwWjpmsm3cvrYG235lbmEmp5oSlyO+GV9XsKf667jSKp02buZQTkmSlGMJ+Rq8PS08yy3fowJ3TnQ7EEptjbekFW9BKt5GI1pNAgAAAAAAAAAwTIVCIb1Tt79nX8nDnnfq9kW33Y5wiORyOHX9cSdFj29vOmq75iOGvX3iUHAnCN6s8ixrrQ0ld5Lquu5Wk5I9NAwE01zjLUDF22hExRsAAAAAAAAAAENka9MRPbhrreaVj9f7pi5KOu7h3e9q1aFt6vT7FOwlbLNq8XVFtz3OnoBoUmHPmmobGg7arplVWqWh5nL2HrwNZXtJqxxX4vcttwVvjuh2qq0m67vaEx6n4m10IngDAAAAAAAAAGCI/HLdcwoqpF0tdVpSOUlTiirixtR3tumJfRvTeh9r9VZ1fkla98q0vD7WlOurIm6wdFcJxir25EW3raFhqsFbbWdrwuOptqrEyEKrSQAAAAAAAAAABlEwFNT2pqNq93tt1Wt7WuoTjj/S2ZL2e1rDq3y3R7kJwq4JBaVpv89AFHnyNNlShRdruFW8OS1VbrZWk+kGbym2qsTIQsUbAAAAAAAAAACD6MFd7+iZA1vijidrIZmsNWF/OGOqxspyCnS4o9l27OwJRtrvM1BfXnSu/nP1fQnPuftoRTlYPEkq3qzswVtqFWvJgjd/iDXeRiMq3gAAAAAAAAAAGESJQjdJCiYJbuo629J+z8q8Atv++IL4dpN9tXwcTHluj/5j7ukqcOfEnctWxZsnScWblS14S6FizRvwq9HbkfAcrSZHJ4I3AAAAAAAAAAAGSaiXcMUb9Mcde6Vmh/65d31a71noztVJVdNtx4zS6rhx+W5PWu+TriVjJuuXp1ylT887w3bcna3gLYX3dVnaTqbSarKuqydEHZNXqBXjZkb3/bSaHJUI3gAAAAAAAAAAGCTtfm/K51p9nfrr9jfSfs9vLL1QhR57JdnJY6fHjct1ZTd46xa7/pzbkZ3oIj/B9+OU6hm2fZezf2u81bT3tPcck1dk+9oCtJoclQjeAAAAAAAAAAAYJMnaDEpSu88evNV1tidtP5kqo7RalXmFccdzErRRLPbkpvVemRIbvGWr1eSSykkak1dkO3bFtCW2ffsab30Hb+vqD0S3x+WX2oI7Kt5Gp+w1cAUAAAAAAAAAYJRr9LYnPdcWU/HW5u8atHkkqiKLDZmyJddprzRzO7NTM1ToydUPTrxUjd525To9cVWDUuwab32HpNb1+uaWVWtHS23P9SkEdxh5qHgDAAAAAAAAAGCQNHb1UvEWG7z5eoK3E8ZMUXV+Scbm4bCsTSZJRe7crFWWxRouFW+S5HQ4VJFbmDB0k/q/xpsv2NNOssiTF9NqkuBtNCJ4AwAAAAAAAABgEASCQT24652k5+OCN8t+oTsnLpg5e8LsPt9zQmFpSnMrzy1IadxQKM3JU2lOvqRwZd74gtS+hmzob6tJa/Dmcbps1Xy0mhydaDUJAAAAAAAAAMAgeLt2r1p7aR/Z7O207VtbTRZ6cuW3hDaSNKWootf3m1JUofMnzU1pbmW5+SmNGwpup0v/ueBsvXl0j+aVj4+GcMORdY22gQRv1uDOG/P3i9GB4A0AAAAAAAAAgAwLhUL6k/lqr2MavO3qDPiU5wqvcdbms1e8+WIqomaWjEl6r58vv0JFnryU51eeM3wq3iRpYmGZJhaWZXsafbJXvPW9xps1eMtx2YO3Zw9s0QdmHJ/ZCSLraDUJAAAAAAAAAECG7WmtT2lcTXtzdNta8VbgztEFk3uq13Kcrl7XfMuNhHepqswr6td4hNnWeEuhVWRsxVtDV/ugzAvDB8EbAAAAAAAAAAAZ1uH3pTTOHrz1VLwVeXJ19vjZes8EQ2eOP04/OfkKSdJZ4xOv8+Z29P24v/vaArdHp4+bmdL8YOd2uqLbHQGf6rvaeh3f7OtpJ+pxulQfE7ylEt5hZKHVJAAAAAAAAAAAGbS3tV6/3/xS0vPlOQVq8IYDmEMdTZKkYCik9fUHo2MK3TnKcbl19cwTbNdeNWOpjLJqdfi9unPb69HjDkslVjJXzViqWaVVmlxYrkJPbr++JoQVuHM0qbBM+9saFQgFdfe2Nfrs/DMTfv8PtDXa9j1Ol5ZXT9faun3RY50BvwqdOYM9bQwhKt4AAAAAAAAAAMigX69/QR2B5BVv4wp6WkYeilS8PX/QtI2pyi9OeK3H6dLxYyarOsn53nicLi2rmmp7f/TfB2cuU3fMtqHhoPa1NSQc9+yBLbZ9t8OpRRUTbMe6gqlVRmLkIHgDAAAAAAAAACCDWi1rtXVzWiqiTqueEd0+0t6sQCio5ywhzfTiSpXm5Pf6HjNKxqgqsk7bCtpGDqlZpVWaVz4+ul/bmbjdZGwNnMPhkNPhtK3V1xXwD8YUkUW0mgQAAAAAAAAAYBBV5hbqP+adocf3btCc8nGaWVoVPdcZ8Oud2v22tb8+O//MPu/pdDj1jaUXam9rg2ZZ7oehUeLJi253WNbms6rILUx4PNfVE8109lIZiZGJ4A0AAAAAAAAAgEF0/JjJmlxUrk/OO12S1OrrqYhr9LbrD1teju5fPHmBiiyhTm/y3TkyyqozO1mkJN/tiW4nayvqCwWi25dMWRjdzrMEb1S8jT4EbwAAAAAAAAAADKJcl8e2n+N0RbdDMWNPqJoyBDNCuvLdOdHtQ+1N2tNSHzdme9NRy/ien4E8y89Du5+Kt9GG4A0AAAAAAAAAgEFkrXCSJI8leItVYAl0MHzlW8Kzl2t26OWaHb2Ot4athZ7c6HabL349QIxszmxPAAAAAAAAAACA0SwvpuLN4XDYghir/JixGJ6q8ov7NT7HEr4WuS3Bm5/gbbSh4g0AAAAAAAAAgEEUW/EmSTlOt7zBQPzxBGMx/CyqmKD3TDS0relIwvP+YFAH25ui+045ottFnp6qxlafd/AmiazgXzAAAAAAAAAAABkSDMWu2ha/xpuUvN2k0+FIeBzDi9Ph1NUzTkh6PhgK6j9evje6X5aTH90usrSabKXibdSh1SQAAAAAAAAAABkSCAXjjiWqeEtU7YbRw+lw6ksL36OK3AItKJ+gmaVV0XOFbtZ4G82oeAMAAAAAAAAAIEMCwQTBmzu+4s0b9McdK7VURWHkm11Wrf930uVxxws9rPE2mlHxBgAAAAAAAABAhvgTVLzlprhu238vuSDT08EwVGSpeGul4m3UIXgDAAAAAAAAACBDEreajK94i/W5+WepPLdgMKaEYabIkxPdbvV5szgTDAaCNwAAAAAAAAAAMsSfqNVkCsHbgooJgzEdDEPWNd7a/V4FE4S1GLkI3gAAAAAAAAAAyBB/MBB3LMfpysJMMFy5nE7lR8LYkEJq9/uyPCNkEsEbAAAAAAAAAAAZ0uaPbx3ocDjijo0vKIlu02Ly2FPo6al6a2Odt1EltRUd+2AYhkvSf0j6sKS5klySdkq6V9JPTdPstIw9XdKLvdzubtM0r4u5/2xJ35O0QlKlpO2S/ijpNtM0qcEEAAAAAAAAAAwLzd6OlMZ9ePZy/XDtk1JI+vic0wZ5Vhhuitw5qo1s37frbX12/lnZnA4yKO3gLRK6PSLpYkmtkl6T5JO0XNL3JV1sGMY5pmm2Ry5ZGnl9VdKuBLd8Jeb+ixUO6koi59ZIOlvSLZJOlnRd7A0AAAAAAAAAAMiGJm+nbb/Isp6X1aTCcv34pPcrGAqqjIq3Y05pboHUWi9J2tRQk+XZIJMyUfH2MYVDt3WSLjJN84AkGYYxRtKjkk6R9C1J/x0Z3x28fdU0zVfUC8MwHJLuVDh0u940zb9GjldJelbStYZhPGSa5gMZ+DoAAAAAAAAAABiwYCioVw7vsB27acHZSceX5OQN9pQwTL130jy9W7dfUnidN4wemVjj7cbI6+e7QzdJMk2zVuH2k5L0b5bxSyUFJb2Twr3Pk7RI0sru0C1y76OWe980oFkDAAAAAAAAAJBB79Tt155IFZPb4dT/nPg+TS2uyPKsMBxNK66MbgdDIYVChG+jRSaCt1pJWyS9keDc1sjrBEkyDCNH0jxJW0zTbEvh3hdGXh+OPWGa5quSjkhaYRhGcT/nDAAAAAAAAABARm1pPBzdXjFulqryi7I4GwxnDodDTocjuh8IBbM4G2RS2q0mTdO8tJfTyyKv+yOvCyR5JO02DON/JF0paZqkGkkPSPof0zQbLdfPj7xuSPb2ksYqHOa93t+5AwAAAAAAAACQCTuaj2rVoW3R/fLc/CzOBiOB2+GUNxSQJPlDQbnlyvKMkAmZqHhLKLI+2w8iu91rsHWv73aRpM9L2inpZUnlkr4k6fXI+m3dxkdeDyV5m+7j1RmYMgAAAAAAAAAAUf5gQA/vflcP7X5H3oA/6bhgKKQ/bH7ZdszjJERB79zOnogmEKTV5GiRdsVbL34k6QxJhyX9NHKsO3hbJemqyDpwMgxjjKR7Jb1H0u8UroSTpMLIa3uS9+iIvPZZr2sYxo3qWY+uL0tSHAcAAAAAAAAAGKWe3r9ZT+zbKEmqyC3UmeOPSzju7dq9avR22I55nIP5+B2jgcthCd4ilW8Y+QblX75hGN+X9DVJXZKuNk3zaOTUFyTdIumQaZot3eNN06w1DOMGhdeEe79hGONN0zwkqfsnra+oN5XKvWmSzkz9qwAAAAAAAAAAHMse2bMuuv3ArrVJg7eVB7fFHcuh4g19sAZvftZ4GzUyGrwZhuGWdJukT0jqlHSFaZovdp83TdOncLgWxzTNg4ZhvC3pdEnHS/qXpLbI6WTNcLuPt6Ywvd0KV9qlYomk0hTHAgAAAAAAAABGuYqcgqTn6rva4o7RahJ9sVW80Wpy1MhY8GYYRpGk+yRdKKlR0mXW0C1FNZHX7k+wgwqHYOMkbUkwvq814KJM07xD0h2pTMIwjJWiOg4AAAAAAAAAjlnN3k7b/pj8xCsevXZkl+oSBG9Oh2NQ5oXRw7bGG60mR41UWjT2yTCMckkrFQ7d9kk6PVHoZhjGrYZhPGQYxtgkt5oeed0fed0QeZ2X4F4OSXMUbke5aeCzBwAAAAAAAADArq7T3mitIrcwbkxDV7tuN1cnvD4YooIJvbOv8cbPy2iRdvBmGEaOpMclnaBwAHaqaZobkgw/VdLlki5NcJ8FkpZKqpP0VuTwk5HXy5Pcq0rSy9b14gAAAAAAAAAASFeb32vbDyRYg2tnc23S6xONB6xsa7wF+XkZLTJR8fZ9ScsVrnQ7yzTN/b2M/X3k9UeGYczpPmgYRpWk2yW5JP3ENM3uT7RVkjZKOs8wjI/HjP9tZPfnGfgaAAAAAAAAAACIavN32fYTVSQd6UxeE1KZF18hB1hZW036aTU5aqS1xpthGJWSborsHpX0S8MwEo41TfM6SX+SdJ6kqyS9axjGS5LaJJ0tqVjSP2QJ0kzTDBqG8RFJz0n6g2EYH1V43bezJJVL+qNpmo+l8zUAAAAAAAAAABBr9eFdtv1Agoqkg21Ntv2Tx07T5oYaza+YoJklVYM6P4x8tJocndIK3iSdKSk/sn185E8y10WCtKslfULSxxRuFxlUuKrtj5L+bJqm7afLNM03DMM4WeHKurMlLZC0TdJ/KxzkAQAAAAAAAACQMasP79TmxhrbsUStI9+t72kA95VF52pW6ViFQiE5HI5BnyNGPmvw9vN1z+qMcbP0oVnL+PkZ4dIK3kzTfFBSv34CIsHa79XTdjKVazYpXCUHAAAAAAAAAMCgWnVoW9yx2OBtW9MRdQX80f3xBWWSRGiClOW5Pbb9F2u26+Sx0zWrlGrJkSwTa7wBAAAAAAAAADBqtPi64o7FBm/r6g/Y9gs9OYM6J4w+Z4ybpTyXPXxr9nVmaTbIFII3AAAAAAAAAAAsvJZKtm6xa7xZq92KPXmDPieMPgsqJuinJ79fs0vHRo/5gvE/exhZCN4AAAAAAAAAALDwBgNxxwKhkCSp0+9Tp99nO3fxlAVDMi+MPjkut6ryiqL7vgQ/exhZ0lrjDQAAAAAAAACA0caboOooEArqYFuTbn7nKYUUUnV+SfRcjtM1lNPDKOOx/Px4AwRvIx3BGwAAAAAAAAAAEYFgUMFIdZvteCiou7a9rq5IKLevrSF6LtfFo3YMnDV4o+Jt5OPTAAAAAAAAAACAiETVblI4eNvb2pDwXI6TR+0YOIK30YU13gAAAAAAAAAAiEi0vpsktces62ZFxRvS4bEEtwRvIx+fBgAAAAAAAAAARHgDiSveajtbk16T42KNNwyc9een0duug22NkqQ8t0cVuYVZmhUGiuANAAAAAAAAAIAIa8Xb+IJSFbg92tFc2+s1Re7cwZ4WRjGPoyd4e+3Ibr12ZHd0/9yJc/SBGcdnYVYYKFpNAgAAAAAAAAAQYa14y3W6dP1xJ/c6vjy3QGPyigZ7WhjFynMLkp57uWb7EM4EmUDwBgAAAAAAAABAhLXiLcfl1viCUt04e3nS8cWePDkcjqGYGkapBRXjddb42RpfUBr+k18SPecLBrM4MwwErSYBAAAAAAAAAIjwBnsq3nKc4RaAp1TP0Mljp6nR26EfvP2E2v3e6JhcJ4/ZkR6nw6kPzjoxuh8IBfXpl++VJAVDoWxNCwNExRsAAAAAAAAAABHegKXizRKqOR1OVeQWqshjX88t1+USkElO9VRQhhRSiPBtRCF4AwAAAAAAAAAgwlbxliBUi61wy3FR8YbMcjgccsSEbxg5+EQAAAAAAAAAABzzajtbtb3pqDY11ESP5SRoI+ly2utZEo0B0uV0OBSIVLoFQyE5WUZwxOATAQAAAAAAAABwTOv0+/SjtU+pzd9lO+5JUPHmdtiDt1wq3jAIwsFbeJt13kYWWk0CAAAAAAAAAI5pb9ftiwvdpCQVbw4q3jD4rOu8EbyNLARvAAAAAAAAAIBjWk17c8LjiUI1d0yryTwq3jAIHA5L8MYabyMKwRsAAAAAAAAA4Jh2oK0h4fGcFFpNluXmD8qccGxzOqh4G6kI3gAAAAAAAAAAx6xQKKRdLfUJzyVsNRlT8VaWUzAo88KxjVaTIxfBGwAAAAAAQBaFQiHdu+NNffm1B/VyzY5sTwcAjjkv1WxPuL6blFrFW2kOFW/IPHvFWzCLM0F/0XwWAAAAAAAgi9bVH9ALB7dKku7a9rpcDodOqZ6R5VkBwLEhGArp7u1rkp5PXPFmD+PKaTWJQeDsY423Vl+n2v0+jc0vHsppIQUEbwAAAAAAAFn02J71tv07tr5G8AYAQ2Rd3X7b/pi8QtV2tkX3c5zxFW+x1UeF7tzBmRyOab2t8Vbb2arvv/W4uoJ+zSsbpw/OWkYAN4zQahIAAAAAACBLmr2d2tfWkO1pAMAx6y9bV9v2b5x9im0/xxVfu9Lqs7eldFgCEiBTrMFbKCZ4e+voXnUF/ZKkTY01+u2mF4d0bugdwRsAAAAAAECWNHrbsz0FADimdQX8tv2ZJVW2fX8wEHdNbPAGDAankle87Wmtt+3XtDfHhXPIHoI3AAAAAACALGnydmR7CgAAC2dM9Vqi9n0EbxgKDkdPfBOICdU6/F7bfkgh+WNaoCJ7CN4AAAAAAACy5NGY9d268VvrAJA9X118nuaUVeuq6Us1Jq8o7nxsOAcMBpe11aTs/12QKGSLrd5E9hC8AQAAAAAAZEEwFNTemFZR0XMieAOAoVDiyYtuv2eiISncbvILC9+j8ybNTXjNh2Yti25/Zt6ZgztBHLOsAW9sq0lfghao3iDB23ARvzIkAAAAAAAABt0rNTuTngsEg3K5+H1pABhMu5pr1ezrjO6/f9qSlK6bWzZOX1z4HgVDIc0pqx6k2eFY5+hljTd/ML7izUvF27BB8AYAAAAAAJAFmxoPJT0XYJ0WABg0j+/doPX1B7WzpdZ23ON0pXS9w+GQQeCGQWareJP9vwv8CSrenjtg6trjThr0eaFv/OoUAAAAAADAEAuFQtraeCS6/5l5Z6rInRvdT/Sb7ACA9B1oa9Qje9bFhW7AcNNrq8kEv6DzYs32QZ8TUkPwBgAAAAAAMMQOtjep1d8lSSpy52pBxQS5nD2PafxUvAHAoNiTZG1NYLjpLXhLVPGG4YNWkwAAAAAAAENkff0B3bn1dduaQrNLx8rpcMjt6AneaDUJAIPDR2CBEaK/a7xJ0q0bVurT88+Qy0HNVTbx3QcAAAAAABgi/9q7wRa6SdKkojJJslW8BVJsNbmt6Yju3/m2atqbMjZHABjNCN4wUljDs7jgLZT453hDw0G9cWT3YE4LKaDiDQAAAAAAIEPu3fGm3jy6R++ftkSnjZsZd35XS13csRJPviTZKt6StZoMhkLR1lNN3g79esML8gUD2tZ8VP+95IJMfAkAMKieO7BFmxtrdOmURZpaXDHk758seFuR4DMbyCZrq8ktTTVqtfziTmfAn/S6va31OqV6xqDODb0jeAMAAAAAAMiAXS21euHgVknSndte1+zSsarKL46eD8X8tnq3Qk+uJPtvtidqNflu3X7939bXNL24Up+Zf5ae2rcp+gB5d4JADwCGmwNtjfrHzrclSftaG/Tjk98/5HNo6GpPePz905YM7USAPjgswduT+zalfF2uyzMY00E/0GoSAAAAAAAgAzbUH7Lt/9l81bYf22Ky24Ly8ZIkdx+tJn+76UW1+b3a0HBIGxsO6rWYVlLJgj0AGC62NNZEtxu9HVmZw9GOlrhjHzVOVVHklyCA4WJcfsmArst1UW+VbfwNAAAAAAAAZMCO5qO2/V0tdWr2dqjYk6e/mKv1xtHdcde8f9pi5UQekLkdruhxb0wrtNhQbVdLndr8XbZj/lBQHss9AGC46a093lA52tkadyzHyWcnhp+LJs9XjtOl2pif2V0tdarrapMkzSypivvvD2QfwRsAAAAAAECadrfUabOlkqPb5sYaTSmqiAvd8lxuXTZ1sU4fPyt6zPob6l0xD6djq+USVbd1Bfzy8PAYwDAW+9k21O7d8WbC4M3NZyeGoeKcPL1/+pKE53Y216rR267ZpdX60msP2M5l+98ZCN4AAAAAAADS4gsG9P/eeSrhuQ31B5WoAeQHZhyvFeNm2Y7lWYK3+3a9rdllY5UXWaflcHuzbWxTghZt3oBfolUagGGsM+DL2nvXdrZG1+GMRcUbRpoZJWMkhX8RZ1Jhmfa3NUbPeQneso413gAAAAAAANJwwPKwK9YbR/doX2tD3PHxBaVxx/Lcnuj2kY4WPbF3Y3S/JmZNokTBW1eQB20AhreuLAZvzd7E62xKoloYI5bD4dAXF56ruWXjosf474HsI3gDAAAAAABIQ4e/9wfJzx7YEndsQkFZ3LFcp70x0ZP7N0W3D3fYK94aEwVv/IY7gGEum2u89VZt53A4hnAmQGYVenJ08thp0X1vIJB8MIYEwRsAAAAAAEAaWnzJqygSqc4vUb6luq1bd1vJRGKDt0QVb4mOAcBwEQyFbO3whpo19FtcOUknVU2TJBW6czQhQRUyMJJY1yn0hwjeso3gDQAAAAAAIA21na1xxz43/6yk46+btSzh8Vy3O+FxSWrxdfW6L0m/3fQiVW8Ahq2Hdr+T8PNyqFjbXOa53Lp21jJ9zDhVX196oXJcyT9/gZHA4+iJegLBYBZnAkniEwUAAAAAACANWxoPxx1bUDFBU4rKtTdmfbevL7lQU4srEt4nUcXbG0d2qzPgU2cf7Sy7mY2HtahyYkpjAWCotPm8eu6AmdU5/Gvvhui2x+lSntujZZb2fMBIZq1484UI3rKN4A0AAAAAAKCffMGAtjYdVmVuoXY0H7Wdu27WSZKk08fN0t3b10SPL66cpClF5UnvmZeg4uLP5qv9mlddV/aqSQAgmUPtTQpkOQw4aqm229lcm8WZAJnndvZUvPmDtJrMNoI3AAAAAACAfgiFQvrV+ue1PSZwk6RrZ52kU6qnS5JOGjtN6+oPqCvg15XTl2pacWWv9+1tjbdU1XW2pX0PAMi0ZGthhkIhORyOIZ5N+BchgNHE7bCs8UaryawjeAMAAAAAAOiHhq72hKHbWeNn64zxs6L7eS6PPtvLWm+xcjOwxlAtwRuAYSjRupSSFAyF5Bqi4M3tcMofqbo7c/xxQ/KewFCxVbzRajLrnH0PAQAAAAAAQLf2gDfh8YrcgrTuO9CKt+PHTI5u13bSahLA8JOs4m2o2k+GQiEFQqHofoknb0jeFxgqtJocXgjeAAAAAAAA+qHT70t4vMiTm9Z9E63xloqrZ5wQ3T7Q3pjWHABgMDR2tSc8bg3DBpMvGFBI4fdyO5xyOXksjtHF1mqSireso9UkAAAAAACARSgU0pu1e7W18bDOmjBbEwvLbOc7AomDt+I0Kyhy+1nx5pB022n/JqelTVswFNL6+gNaWDExrbkAQCa9WLM94fEOv1f57vTXt0wmGArqpUM7tK35SPRYfz9rgZGAirfhhWgfAAAAAADA4h8739aftryiF2u266/b3og7/3LNjoTXVeYVpvW+/W01efyYKXI5nXLErI/09P7Nac0DADJpd0td0nPPH9w6qO/9xtE9+tuONVpzdE/0WK7L1csVwMjkcVoq3oJUvGUbFW8AAAAAAAARhzua9fxBM7q/s6VWLd5OFeeEq9n8wYDeqdsfd92JY6bEVcb1V28Pgy+ftlidfp+e3L8pemxSYXl0O8fpkjfyG+6N3o605gEAmZToM7PbMwc266oZSwftvWvam+OOUfGG0cjt6Kmx6gj49OCud6L7uS63Th47TWPyirIws2MTwRsAAAAAAEDEtqYjccf+sfNtfXTOqdrf1qDfbnzRdu7M8cfp/ElzM/Iwy+lI3phofvl4TSmqUI7LpUf3rFexJ1dnTTguev6G407Wn8xXJUmVuelV3gFAJq2rOxDd/tCsZfrb9jXRfWuVzmAIJlhDrsCdM6jvCWSD2/JvyRcM6CnLL+pI0ptH9+jbx18UVyWPwUGrSQAAAAAAgIi6zra4Y28c3S1vwK8/bX5FdV328+dNnDMkv0Ge6wr/7vRFkxfovxafr++ecLHt4XGlZQ4dfu+gzwcAUtHQ1a4D7Y2SwhU5y8dOt533BQPaUH9w0N4/GIpvuVcwiGvKAdmS43RpUi+V9wfbm+L+GwaDh4o3AAAAAACAiFZfV8LjX1/zqFp8ndH9q6Yv1dkTZtt+w3wwda//5nA4NKNkTNx5awjXTvAGYJho6GqPbk8sLFOuy62rZxyvf+x8O3r81o0r9fPlV6jIk5fx9w8kCN66Av6Mvw+QbQ6HQzctOFtvHd0rb7DnZ/y1I7t1qL1JkrSruZZ2k0OE4A0AAAAAACCi3vKQ2Moauo3PL9F5k+YO1ZQk9QRvyeRbKjg6Ar7Bng4ApMQXWXtS6qncnVZcGTdu1aFtes/EOX1+1vVXIEGryaMdrRl9D2C4KM3J1zkTDduxroA/GrztbKnTsrHTsjCzYw+tJgEAAAAAABRpedbQ0/Ls8wvOSbheWu4gtimbUlQRd8yhcAup3ljXSfIH4ys8ACAbrJU33Z9TidZYe3TPev1o7VMJW0OmI9EabydWTc3oewDDmbVK/vmDpv685ZWE/y6QWQRvAAAAAAAAklYf3hXddsihCYWlWlAxIW5crnPwGgh9Ys6K+PdzueVwOHq9zu3oecTjz/CDawAYKG+gp+Ktt+BNkg53NGe8Gi02yJteXKnzJs3J6HsAw9n0mArTN47u0d7W+izN5thB8AYAAAAAAI55wVBQzxzYHN1/7+R5Ks3JV1lOQdzYPNfgBW9V+UUqj3nP/CQPqa1cTkvwRsUbgGHC2moyp4/gTZJ8oUDScwNhbTV54+zl+tqSC1Sak5/R9wCGsyJPns6fNFdOhX+BZ3bpWE0uLM/yrEY/1ngDAAAAAADHvI0Nh3Sko0WSlO/y6IJJ8yRJ5bnxD2hzBzF4kyRnTHVbKg+JnXLIISkkKaSQgqGgnA5+3xpAdnmD1oo3d+TVJbfDmbA6N9O/OBCwvEfsZytwrLhy+lJdOmWhgqGQ8gaxXTZ68F9gAAAAAADgmHegrTG6fdLYadEHUyU5eXFjc12D+9DKNYDgzeFwyOWg6g3A8OJLsMablLzqLdOfXda1rFz8MgKOYTkuN6HbEOLTBgAAAAAAHPOs6xAVe3rCtkJ3btzYIk/8sUyKrVQrS7EtmtvSbjJwDK/zFgyFFAgGtb7+gGram7M9HeCYZms16UoheMt4q0lrxRuPwgEMDVpNAgAAAACAY57XUpVhfTg8pahCeS63OgPh8xMKSnVa9YxBnUtsO7RJhWUpXed2uCSF53msVrxtbqjRn7a8olZ/l6Tw9/Lmky5nTScgS+ytJns+W5Otldnq68ro+9sr3mg1CWBoELwBAAAAAIBjnvXhcI7l4bDT4dDPl1+pg+1NqswtUqEncZVGJsW2Q5tePCal66wVb4nWThqJvAG/frvpRTV7O/WJuadpXEFpr+N/teF5234wFNLa2n06a8LswZwmgIi7tr2uzQ01+uCsE7WwYqK94s3y2ZqsZe8929/UiVVTMzafIGu8AcgC6msBAAAAAMAx4Z3affryaw/qp+8+o8audts5e1WG/feU3U6XphRVDEnoJknNvk7b/oTC3sOmbtbAbrS0mlx9ZJc2N9boQHujvvPWv/STd5/W4Y6e9pGhUEgt3s5e7iDls6YNMCS2Nh3RyzU7VNfVpt9sXCXJ3sbXWvFmrSy26q5WzZQAa7wByAIq3gAAAAAAwDHh6QNb1OLrVIuvU7/b/JK+tuQCSVKTt0OrD++MjrNWZWRDu98b3fY4XSk/LLZVvI2SVpMb6w/a9nc01+r5A1s1oaBUjd527Wmt18aGQzpr/GxdNWNpwns4RJULMBQSranoS/JLDbnOoXksbf0lBII3AEOF4A0AAAAAABwTmrw9VW67Wuq0vv6AZhRX6auvP2Qbl+3gbVnVVL0aCQIvmrwg5etGY8VbcU5e3LHVR3aqK+C3HVt5aKtWHtqa8B6j5XsBDHfOmIw7FArJZ10/M4VWk5lmXeONVpMAhgrBGwAAAAAAOCZYnr9Kku7etkbTSyrjxnmStEAbKpdPW6xiT55yXS6dO9FI+TprxZs3JpgaqVp88W3nYkO3voyW6j9guIutLv3ia/er3e+L7ntswdvQfM4GWOMNQBZQXwsAAAAAAI4J1nXcJKnB2663a/fFjYtd422olebk64rpS3TxlIXKcaU+F2vF283vPq39bQ2DMb0hEwqFtKelLu37UPEGDA1HTLBlDd0k+7pu/flsS0eQNd4AZAGfNgAAAAAA4JjgDaZWKVXqiW9vOBKUxMz7Vcu6dSNRq69Ljd6OtO/jJ3gDhkRf9WS2ijfWeAMwivFpAwAAAAAARr1QKCRvINDnuCWVkzQ2v3gIZpR5F0yeZ9vvb0vG4aa2szW6PaGgtM+H+t0+Pe8MnT9pbnQ/QKtJZFmbr0uv1Oyw/UyPRn1Vl9pbTSYP3oIZDMtZ4w1ANhC8AQAAAACAUc8fCiqkUK9jPr/gHH1izoq4dmkjxcySKn149vLo/khf28waUlTlF6vAnZvSdQsqJtgqW2g1iWz7i/mq7tz2un6x7rlRHQT7gr3/ckOOpcptUmF50nGZ/Oxq93st75/d9TsBHDsI3gAAAAAAwKj36J51fY6ZWz5OLufIflTiHkWBU21XW3R7TG6hijzJg7fynAJJ0vTiSrkcTlvwRqtJZMvRjlY9tme9NjQckiTVdbVp3whfe7E3Lxzc2ut5j+Xz1Sir1inVM1SWk6//mHeGCtye6DlfhoK3dr832q7W7XCqIq8wI/cFgL5kd7VgAAAAAACAIfD0/s3ZnsKQsFV6jfDKGmvF25i8IhV5cnU4wZJvM0vG6N9nn6oNDQe0pHKyJMntHD3fB4xct299VTuaa23HrBVYo0ldZ5sOd7T0OqYqpo3vjbOXKxQKyeFw6G6HS5JPkuQP9d0WOBUH2hqj29X5JazxBmDIELwBAAAAAIBRrclrT2sqcgvkdDhtwc61s5YN9bQGhbVibyRVegWCQXmDAeVbql6OWB7iV+YVqtSTZ7umMrdQF09ZoIUVE1WSk6ez843oOVpNItsCwWBc6CZJe1sbNK98fBZmNLh2tcR/rVbd1aixulv7Wtd/66tlZSoCwaB+tu7Z6P6EwtK07wkAqSJ4AwAAAAAAI1IoFNJje9br3fr9umzqYi2qnJhw3Pamo7b9j805TePyS3SwvUlFnlxV5hYqxzU6HpGMxFaTdZ1tuvmdp9QR8Okz887U3PJxWld3QFubjkTHjMkriquWqS4o0WnjZia8p5tWk8iyekurVKvXDu/UBZPmjti1JJPprZrMKYc+1McvN2Q6ePvh2idt++MLStK+JwCkanT8VyUAAAAAADjmbG06on/t2yBJun/X20mDt23NPQHOeyfP18ySKknScaVjB3+SQ8y2ttkIabF4x9bVavZ1SpKeO7hFc8vH6d4db9rGVOYValzMg/PeWki6aDWJLKtLErwd6mjW/rZGTS4qH+IZDa6OgM+2/5vTrpHT4VCTt0MOOVSeW9Dr9db2sOkGb83eDh1ob7Qdq8hlfTcAQ4fGtgAAAAAAYERaV38gun24o0Wd/p4Hv5saDum+nW/rcEezdrXURY/PioRuo5UtcBoBlV7v1O23Vbatrz+ous42W2hRmpOvPJdHiysm2a519VIxRKtJZFuLtzPpuf9Z+4Saezk/1EKhUNr3sK5dd/aE2fI4XXI5nKrILewzdJPsFW/p/tLAwfamuGMzisekdU8A6A+CNwAAAAAAMCIdtawBJila4dDq69L/bnpRzx7Yot9sWKnD7c3RMaOtyiTWSGo1GQyF9PeYyjZJ+vG7T9v2PzFnhSSp0JMT3Zakub2sk0WrSWRbi6/Ltj+50P7Z81btnqGcTlKv1OzQl157UPdsj/+32B8dluCtwJXT7+sz2WqyttNebfieCYaqaTUJYAgRvAEAAAAAgGHrnbr9unvbGzqUoILhSGzw1hYes6P5qLyRB7dHOlujLdByXW6VePIGecbZZW3XNtxbTTZ2tau+qz3ueJO3I7r977NP0azSnirFE6qm6PMLztFHjFN07kQj6b1pNYlsOtjWpJWHtkX3L56yQF9bcr5tzG5LJW423bntdbX5u7Ty0Na4z9T+6LBUHOe7Pf2+3p3B4K2uszW6fdHk+bp65glp3Q8A+os13gAAAAAAwLB0tKNVv9/8koKhkF6s2a5pRRWaWz5el09bLElqtAQ0knSgrVHegF8v1WxPeL9JhWVy9NKecDQYSS0Wk62B1W1OWbVOHjst7vjc8nF93ttFxRuypNnbqZvfeUpdQX/0WJE7V26nS7NLx0ZbqxZ6crM1xahgTIvJFl+nxuYXD+he7QFr8JZexZs/gxVvlXlFad0LAAaCijcAAAAAADAsvVyz3fZgeHdrvZ7Yt1Fbm46oK+CPVrJ129Napx+sfULr6w8mvJ9RWj2o8x0OYoO3A22Nemb/ZjUmqCzLtrrO3oO3FdUzBxyUjqSWmxhdnjuwxRa6SVKOK1z7YA2S2/32z69ssK7LJqVXaWZrNTmQijfLv9m0K94sof6YvMK07gUAA5GRijfDMFyS/kPShyXNleSStFPSvZJ+appmZ8z4EyV9R9IySUWSNkr6tWmaf0ty/9mSvidphaRKSdsl/VHSbaZp8l9PAAAAAACMMoFQUK8e3pnw3Lq6/QrFVGpI0q4+WrdVDbCSYySxtpps9/v0s3XPqt3v1br6A/rSonO1uaFGj+1dp2lFlfrAjOOzUgG4q7lWb9XuU30fFW/luQN/YO6m1SSyJFH71JxINVe+Ze2zjpjQKxuavbZHtnFBXH9Yr81Pc423dKtUra0mK3OpeAMw9NKueIuEbo9IulXSHEmvSVopaYKk70taaRhGgWX8eZJelfRehQO3FyQtlHS3YRg/THD/xZLWSPo3SXskPSlpsqRbJN2Z7vwBAAAAAMDws7H+kJp9nQnPtft9unv7mj7v8d7J8237kwrLMjG1Yc1a8dbi64w+DN/adESBYFC/2vC8djTX6rmDpva1NQz5/ALBoH676UU9c2Cz3qrd2+vYkpyBr8dHq0lkS0uCz63u9csKLC0Y0wm5MiV2rulU4VnXeCtIs9VkOhVvvmAg2obYIYcqcgv6uAIAMi8TrSY/JuliSeskzTFN81zTNN8r6ThJqyWdLOlbkmQYRr6kv0auO880zfeYpnmpwsHbfklfNwwjutqlYRgOhcO1EknXm6a5wjTNKyTNjrzftYZhXJmBrwEAAAAAAAwjf9/5ZtJzrxzeocMdzZLCD2vLcvITjjtv4lx9bv5Zqsor0opxMzW5sHxQ5jqc5Lk8ciapYmvy2dfEa0ih/WR9V5tq2psyMjdJavZ1JgxUL56yIO5YiSczwRutJjGUEv28eSIVmDmunnDJm2Y7xUxojlknM50wsCNgqXgbQKtJjzMzrSatlbTluflyOVlpCcDQy8Qnz42R18+bpnmg+6BpmrUKt5+UwtVqknS9pLGS7jZN8wXL2B2S/iuye5Pl3udJWiRppWmaf7WMP2q5t3U8AAAAAAAY4Rq62lXbx/pf3S6ftliXTl0Yd/yri89ToSdHCyom6H+WvU/XH3dyVtoqDrV8t0cXT16gfJfHFj5JUmdMNUtnIHl1S0NXu944slvffvOf+s5b/9La2n0ZmV+y9nrzy8erKs/eEi7XNfAVUlzOnr9rWk1isAWCweh6lA7Ff850V3PlOHt+pv3DIXiLq3hLp9WkteJtAGu82SreBv5v1vo1FKcR3gNAOjKxxlutpC2S3khwbmvkdULk9cLI68MJxv5TUkDhFpTdko43TfNVwzCOSFphGEaxaZot/Zs2AAAAAAAYjvb0sVab1WnVM+LWKfI4XZpeXJnpaY0Yl0xdqEsiYeRnXr432mqx1ddlG9cZ8Nv2fcGA7t+5VisPbVWsF2u2a+mYyWnPLVkru3xXjr648D367zWPSJKuTnP9Obcjc+tFAb3Z3VKnX294QQVuj766+PyEY7qDN2tV17CoeMtQ8BYKhWytJge0xpsjM60mD7U3R7fTCe8BIB1pf/pEWkUmsyzyuj/y2t1cfUOC+zQbhnFQ0mTDMKpN0zzc2/juyxSuoJsn6fV+TRwAAAAAAAxLvhSDktOqZyrfnRMX0EwsKJXTQXsxKdzazu8Pfz9b4oI3ewi2ru5AwtBNkg5bHmbvba1Xm8+rOWXV/Q7Hkj3YL3B7VJZboN+f/iGFQqG0qxNtrSapeMMgun/nWrX7vWr3e/XUvk0Jx/QEbz2PYtMJlzKlxZuZ4K0r4FdI4Yq/XKd7QO0drRVv6VQD/t/W16LbtJkFkC2DFvtH1mf7QWT3gcjr+MjroSSXHZI0WVK1pMMpjldkPAAAAAAAGMEOtTfpb9vXaGvTkZTGTyuukBR+0Gs1Nr8443MbqcIP+sMBW0tMdUuX317xZjYdTnqfMZE2kLtb6nTzO08rpJBuOO5knTZuZr/mk+zBfr67p0ImEy1Bba0mefiOQfJKzQ5ta+75vHqxZrtmlVTFjUtU8eYLZD94i614axtg8Nae5vpuUsz3JpSZ782u5tSrpwEgkwaz3vZHks5QOED7aeRYYeS1I+EVPce7m3p3j0+22m/s+KQMw7hRPevR9WVJiuMAAAAAAIBFMBRSKBQaUMXD7ze9pEMdzX0PjMhzhR/wxgY1ZbkF/X7v0cr6MDu24q0jpuKtt7ZsZtNhBUNB3bH1tWhly0O73+l38NboTfyIJ8dS7ZIJtJrEUHhg11rbvi8YUJM3/rFnwoq3DIVL6Yht05tsDca+2NpMuvvfZlLq+R5Jkj9DVaqeDH+uAECqBiV4Mwzj+5K+JqlL0tWmaR6NnApIcpimGerjFt3/Vdj9v0Cpju/NNElnpjAOAAAAAAAMQG1nq3767jOSpC8ueo+q80v6dX1/QjcpeWXFcSVj+3Wf0cz6oH/14Z22c96gveKtLSaYi/X5V+9Xl+Wa2CAvFbWdbXHHphSVZ6TKzcptCRwz9RAfsOrw+xJWiB1sb4o7lrDibRi0moxd9zEY6usRbGLWz5KBhujWVpMD/d7EXufM8OcKAKQqo8GbYRhuSbdJ+oSkTklXmKb5omVIm6QywzDyTNPsTHCL/Mhrq2W89Xhf43uzW9KqFMZJ4Yq30hTHAgAAAAAASbebq9UYqfZ4eNe7+uS80/u8ptnbqTu2rk76wPf90xbrn3s3yB8MasW4mXqpZnv0XK6rJ3j7xJwV+uv2NzSnrFoLKyak+ZWMHtaKj7oue+gVu45SX23mumKCOkna3nRUM0vGpByc1VjWirti+hKFQtJJY6emdG1/uBzWVpMDCxOA3tR3xYfIiZR48lTiyZMUXnvQIYdCCikYCikQCtrWIxxq3pjPgIEGb9brBvr1ZCKUjG1lS+4GIFsyFrwZhlEk6T5JF0pqlHRZTOgmSQcllUkap3AQFit2TbeDCodg4yRtSWF8UqZp3iHpjr7GSZJhGCtFdRwAAAAAAP2yvflodLu39cKs/my+oi2NyccuqpikU6tnyiGp0JOrd+r2q8XXKYekMXmF0XEnVE3R0jGTqXCI0VurNV9MJVibr+ehdVlOfjRE7c1P1z2jG2cv1ynVMxKe9wcD+tv2NWr2deqaGSdoV0tt9NzysdNVmpPsd63T47K0mgwMg5Z+GH1qO1OpA5BuWnB2NJh2OBzyOJ3RwMsXDMjlyl7wFhtwhfpsOpaYNdwe6GewJwMVbzuba237H559yoDuAwDpykjwZhhGuaRnJJ0gaZ+ki0zT3JBg6AZJ8yJ/dsfco0TSBElHTdM8bBl/UWT8ypjxDklzFG5HuSkTXwcAAAAAAMiMZIFKKBTS2rr9CoaCavN5ew3d5paN0/iCEls11ZcWvUf/3LNes8uqVZFbaBtP6BZvblm1dlgCUavYh9tt/p62c9cdd5I21B/SykNb+3yPO7a+ppPGTktY6bLq0Da9EmlxubH+kIKRB/vj8ksGLXSTqHjD4Ht8b6JHn3afmnu6JheV2455nO6e4C0QiK5VmQ2xVa8Dr3jrCfEHXvGW/hpvOyzBm8vh1KKKiQO6DwCkK+1fqTAMI0fS4wqHbpsknZokdJOkJyOvlyc4d6kkV+ReqYw/VVKVpJdN02zp36wBAAAAAECmBEJBPb1/s+1YSU5ewrEvHtqu329+SX/c8or+tmNN0nuOzy/RR4xT41oYji8o1cfnrtCZ449Lf+LHgIunLND5k+YmPBcfvPVUvE0qLNcHZ52oX53yAU0o6Hs1jk0N8c2IvAG//rHz7eh+0FJNY5RV93nPdLDGGwbT4fZm7W6tj+5fPm2xTh47LW7cxMKyuGN5rp46iM5AfPvWoRIMheQP2f9tHGxv0m83vah9rQ29XhsIBW0hXTADFW9uR/oVb03e9uj2tbOW8csYALImE7XM35e0XOFKt7NM09zfy9gHJB2RdKNhGBd1HzQMY4akmyWFJP3CMn6VpI2SzjMM4+OW8VWSfhvZ/XkGvgYAAAAAAJCirpiHxW8d3asHdq21HUsUdviCgV7Dtm4lnjx94/j3Jg3vkDqnw5kwEJDsD7dDoZDafD0Vb4XuHElSvtujK6cvjbv2vIlzbPsNXe1xY96q3Zt0XrNLx/Y673Q5I2tpSYqsp0X4hsxZc3SPbb8yt1BGaXyYbA2Au+W7eyrcOgK9r6s4mAJJ/k28W7dfv9m4Mul1Ne1N+vobj+ibax5VY+TffSAjFW+WsHyA7WGt7XHLcwsGdA8AyIS0Wk0ahlEp6abI7lFJvzQMI+FY0zSvM02zORKgPSDpn4ZhrJLUIuk9kgokfcM0zXWWa4KGYXxE0nOS/mAYxkcVXvftLEnlkv5omuZj6XwNAAAAAAAgNaFQSLduXKktjYd1zcwTolVn+9riqyOs1VPdDrY1pfQ+V888ode1ydA/4/NLVZlbqLquNuW5POoM+CTZgzdvMBCtfvE4XcqxVOUcFxOSTS+u1FUzjtczB7ZEj929fY1Kc/K1uHJS9NjWpiNJ55SoEijTXA6H/JFKnEAoJCfFL8iQPLe9PWRlXqFaLcF1N3eCECrflRPd7vD7Mj+5FPVWVdbo7dDe1nqNLyiVx+mSN+DXE/s2yuN06d36A9GA62873tSn551hq3hzDbTiLQNrvDVZgreyQWxlCwB9Sbfi7UxJ3Z9ix0u6tpc/kiTTNB+NXPe0pKWR7XWSrjZN80exb2Ca5huSTlY4rDtO0vmS9kj6lKT/SHP+AAAAAAAgRWbTYW1sOKRAKKi/bV+jva31+u3GVXFtJiXpUHuTfrHuOdvD6IautoT3HZtXFG1nuGLcTC2rmjo4X8AxyuV06gsLz9G1s5bpU3NPjx63Ptw+2tmzikdpTKVhrsutT887I7p/1fTjJUnvnTzfNu63m160Vb5tbUq+ft+YvKJ+fhX9R7tJDIZgKBS3Flp5bkHCNQtznPE1D7aKtwS/oDBU+gq3frj2Sd38zlMKhUJ6av8mPb5vox7Zs067W+qiY7pbzFor3pwZWOPNN8B/r9aKt9IcKt4AZE9aFW+maT4oqd+/xmCa5quSLuzH+E2Srurv+wAAAAAAgMyp7Wy17f9+80uq7UwcpknhoO5Lrz2gG2cv1ynVM1SfoB2hJBV58vTFRe9RbWerxuWXZHTOCKvKL1ZVfrEOtzdHjx1sb1Kn36c8t8f2MH1CQVnc9YsrJ+l/V/ybvMGA8lzh4KC7HaXVykNb9f5pS1Tf1Zb0Z2NmSdWQVDS6HC5J4baogVBAkqfX8UBf9rc16DcbV8W1Vq3ILZTHEf8z7XHFHyuwtZocnhVv3fa3NWp/W6P+uXdDr/cIZGCNN0+aFW+dfl+0DbLH6bJ9nwFgqKUVvAEAAAAAgGNH7NpuiYKVacWVthBHku7c+rrmlY9XfZKKN2/QL4/TpfGRqjcMntgg4D9X36e5ZeOiazVJ4WAsEafDqTxXTzXL9OLKuDEt3nCF446mo7bj4/NL9Im5K7S16YiWWNpRDiZry7tATIUSMBC3m6vjQrd/m3mCJKnIkyuHJOtPWqL1zvIsrSbbs1jxlmoVaCpBWtC2xlv6wZt/AMGbvdotX44BzgMAMiHdVpMAAAAAAOAYkcpD4pOrpsUdCyqkmvbmpBVQZ46fne7UkKLuajWrzY01OtQRroTLdbp1+riZKd1rVulYXX/cSbZj3evHNfk6o8eWj52ub59wsSYUlumsCbNVljs0LeBoNYlM29/WGHesu6Whw+FQkScv7nwse6vJ4V3xJinh2nVW6+oO2FpvDrTVpHU9vIG0mmR9NwDDCcEbAAAAAADoU31nW9J2Y1YnVE1RdX5x3PH9bQ1aW7cvuv/Fhe/RVdOX6v3TluiU6ukZnSuSK3Dn6Ixxs5KeP6Fqigo9uSnf77Rqe0h3pKNFh9ubdd/Ot6PHKnMLB9x+Lh3WB/n+UP8raIBUlOf2hDxFKfzbyR8mrSZTrSq7e/uaXs/ftmmV1hzdE93PXsVbTyViovX2AGAoEbwBAAAAAIA+vXJ4Z0rjSjx5+sz8M+OO/8MSxEhSZV6hzps0VxdOnjck632hx7XHnaSZJWMSnitOoWLHyuFw6P8tuyy6f6SjRb/b/JJtTH6W1lqytvkLBGk1icFRltNTwVmcSvBmaTWZzYo3b4rh1uGO5j7HbGw4FN0eaMVbumu8WasRqXgDkG0EbwAAAAAAoE/7WusTHq/MLVRJJKw5tXqGHA6HxuYVa1qC9b+seDCaXcEka57lDCAELc8tUEEkXOsK+nWwvcl2vsCdk+iyQeeytJoMhGg1icw7vnKyyi2tU1OpeCuwVbxlb4232DU7M2Wg1a1Oh0MOha8NKtTvf7ObG2qi2+MKSgY0BwDIFHe2JwAAAAAAAIa3Hc1H9W79gYTnVoybqVOrZ2h3a73mlY2TFK6C+s8FZ+urrz+UtHLBTZVbViUL3nJd/X9U5HA4NDa/RLtb6hKez89W8EarSWRYaU5+dC2xT8xZoROqptjOp1IxOlzWePMGByd4G2irSYfDIY/TGa3E8weDcrlSrxlp9fesRWeUVg9oDgCQKVS8AQAAAACAXt0X0yaym1MOnTVhtspyC7SkcpJyLKFNgTtHn5y7IuF1SysnD8o8kbpkjRdzBhC8SdLYvPh1/bqV5vSvfWWmuJ20mkRmdfh7KtTml4+PO7+4cmJ0e3xBacJ72FtNZq/iLdVWk/010FaTkv0XMvrbbtIX6Bmfrfa2ANCN4A0AAAAAACTV5utKWsk0pbii1zaCs5NUHXx0zqkZmRvSkblWk5JUnZ88eJtSVDGge6bLtsYbrSaRpkAwGA2rHHIkrA6dXz5BF0yap9mlY/Xvs09JeB9bxVsgixVvabSarMwt1PdOuCThuYG2mpTs67wlCiU7/D6FQiE1eTv0y/XP6dfrn1ebL1zpZg3qPE6avAHILj6FAAAAAABAUlubjkQjmmnFlbYQrq912pK1LfTQZjLrknSaHFCrSan34C1bf98Eb8gk63ps+W6PHEkCpiumL+n1PtZfVshmq8muJK0mPU5Xn9VmN85errFJ/s270qh4s7apfOPoHnUF/HI6HLp4ygKtOrRND+xcq7nl42SUVmtL42FJ0u1bV+sz8860VfAN9BcIACBTCN4AAAAAAEBS3Q83JWlOWXVM8FbQ5/XXzDhBf9/51qDMDQMXSlLx5g0MrP1cVZKH8NfOOmlA98sEa+DXlUZ1DxAMBbWpoSa6n+8aeCtD67Xt2Ww1meTf+oziMTKbDic8J0n/bpyi40rHRtZkiw/pklVIp6KhqyO6/eieddHt8tyCaMvjjQ2HtLHhUPTc+vqDCoSC0c80pxxyOWnyBiC7+BQCAAAAAABJrT6yM7ptxLSOLM/tveJNks6ZaOgXy6/SnLJqOeTQB2Ycn/E5InNml40d0HXj8kvijv3ngrO1YtzMdKc0YNaKzIau9qzNAyPfX8zV+rP5anS/txa7ffE4XdF2jP5QsN9rmWWKN0nF26ySqqTX/HDZ+7R87PRotV9eggrZ+jT+rV06dUHC44/sXpfweDdbm0kX1W4Aso+KNwAAAAAAkNArNTtslUJTY9bqmlBQltJ9Cj05+vyCc9QZ8Ck/jQfWyJzYVpMFbo8+Ofd0VeQWDuh+eW6PLpu6SI9EqlQ+YpyieeXj051mWiryer6Wuq62LM4EI1kgGNSao3tsx6zrtPWXw+FQvitHbf7w2mQb6g9q6ZjJac1xIJKt8VbkyU16TeznQ67Lo5bIGmupXN+XZG0qPX1UsLVbWnbSZhLAcEDwBgAAAAAA4gSCQd257XXbsQJ3jq6ZcYL+sfNtHVdapQUVE1K+n8PhIHQbRmJbTf7ylA+kfc+LpizQiVVT1ebr0rTiyrTvl65KS0hQ10nwhoE53NESd2x8QWla9+wO3STpd5tf0u9P/1Ba9xsIb5JKu97WaHPGrGtX7MlVbWer7diVfaxx15tk7x1ItihlxBHL31GOk8fdALKPTyIAAAAAABBnf1ujbX92ZE2fcyYaWl49XfkuT7TdGEaeueXjdLC9SZI0McXKxVSMzS+Wkqz3NtQqqXhDBhyK/DuxWlw5MQszyYxQKKSD7U3qsFSJWTkdDl08ZYH+tXeD7Xii9RoTtcmc2Uuryr4kD956b8e58tDW6LabijcAwwDBGwAAAAAAiFPTYX/Y/KFZy6Lb6axvhOHh0imLtLulXu2+Ln1i7mnZns6gsLbFq6fiDQO0seFgdNvtcOrDs5drfnnq1b7DzT92vq3nD5pJzzsdDp0/cW5c8Da5sCxubGybyXS5krSU7PQnbovZ7VB7c3S7LqYCDwCygeANAAAAAADEsT7IvHDyvLRbq2F4yXd79NXF5ykUCo3aysXSnHy5HE4FQkG1+rvUFfAr18WjMKSuzefVG5b13T5inKoTqqZkcUbp6y10k8JVZ3lujxySrSFtonXtLpw0T3/f+VbP/uR5ac3NnaTiLajeW03WWypaL5oyP605AEAm8F8bAAAAAAAgzmFL8DYuvySLM8FgGq2hmxSu3KnILdDRSAXMjuajmlc+Psuzwkjy6uEd0XaK4/NLtGTMpCzPaPB1r+PmkMO2FmRJTn7c2BXjZqrV1yVfKKAllZM0o3hMWu/d2/pyvbG2vMxzxQeEADDUBvZpBgAAAAAARq3Vh3fq7bp90X2q3TBSWdd5e+5A75U+gNUbR3br/l1ro/vnTpoz4GAo1ryycRm5z2Do/hqtVWb5Lk/CFsM5LrfeN22Rrpy+VDNLqtIO8l0pXH/OBKOPe/C4G0D28UkEAAAAAACi6rvadMfW12zHqql4wwg1u3RsdPtAW2P2JoIRxR8M6M/mq7ZjJ1VNy9j9L56yMLo93D5fnQnCr+qCoZmjy+nqc8ykwjL98pSrtLRycuJ7ELwBGAb4JAIAAAAAYBQIBIN68dB2vVyzQ8FQ7+vh9GZ3S71tv8STl3BtH2AkuHBSz3pPTd4OhdL4t4Fjx7r6A7b9uWXjlJPB9QGLPPHVY8NFouBtXH7xkLx3KhVvJTl5KnDnJF1Pzu3kcTeA7GONNwAAAAAARoE1tXt09/Y3JEl5LrdOrJqadGxtZ6vKcwrkSvCAsjayHla33u4DDHcup1Muh1OBUFBBhRQIBeV29F1Vg2NXp9+n329+2Xbs0qkLk4weGGtLxmAomNF7pytR8DZ2iKryUqlWK/bkSZJykwShVLwBGA4I3gAAAAAAGAVuN1dHt/+45RVtbqzRjOIxOrV6hu0h76O71+lf+zZE9983daGt7dm+1p6Kt7H5xbpi+pLBnTgwyHKcLnUEwuGGNxiQO4V2djh2rTy01bb/H/PO0MySqoy+hzUcSqdCub9SCfkSBVfjh6rVZD+CN3eSsQRvAIYDPokAAAAAABgFYqsUXq7ZoTu3va4vv/agVh3cpkDkgas1dJOkR/es12tHdkX3d7fURbc/MvsUeQgpMMJZWwR6A/4szgQjwaH25uh2VV6RllROyvh7OGWpeNPQBW+BBCFf7P92dO+fOGaKJKkit0ALKyYO/uSUWpvIYk+uJCWs2O7tOAAMJSreAAAAAAAYBdwOp7yhQNzxVn+X/rZjjfLdHi0dMznhtbebq+UN+BUIhXQk0mrS6XBoUlH5oM4ZGArW8NgbjP83Alh1WcLZy6YtHpT3sFYhD+W6g4FgfMVbjtOtzoAvul8UCbY+PHu5jh8zRdNLKofsFzBiq9UWVkzQ+vqD0f1cpzsapCeveOt7nTgAGGwEbwAAAAAAjFChUEiP7Vmvl2q29xkorDq0TWU5+UnPP753oxq87dH9YChEtRtGhRxb8EbFG3p0+H1q6GrXhMLS6LEuSwiV7/IMyvs6bWu8DV3w5k/QajLH6dLFUxbooV3vaHHlJE0qDP/CRY7LrROqpgzZ3KT4irfq/BKtV0/wVpyTG912JVmrkTUcAQwHBG8AAAAAAIxAu5prdevGlWrzexOeP6lqmt44uju67w8GtKmxJrpf5M7V+6Yt0t+2r5EkW+gmSWPzijI/aSAL7K0mqXhDWKuvS99+859q83dpYcUEXTvrJP19x1u2z8k81+A8OrW2mkzU/nGwBBIEb7kut86fNFdnjJ+lvEEKGlM1sbBMY/IKVdvZJoccOqlqmp49sCV6vsDdE7wla0tJxRuA4YDgDQAAAACAEabZ26mb33066fkvLzpXx5WOVVV+kf61N7ym2+7WetV19YRrl05dqDPHH6d36/ZrY8OhuHtcd9zJmZ84kAXWireajmbNKBmTxdlguFh5cKva/F2SpPX1B3XbxlXa19ZgG5M7BBVvIcWHYYMlUfCW4ww/Hs526CaFW01+5/iLta35iCYUlKk8t8B23hqEJm01yRpvAIYBPokAAAAAABhhtjcf6fV8buTh5EWT56vC8uCyxdcZ3S725EmSZpWMTXgPo6w63WkCw4I1UHj9yK4szgTDRW1nq57Yt9F2LDZ0kwax4s0SGg1lq8lAMP698tzDqy4jx+XW/PIJcaGb1PO/bZI9vLSKXScOALKBTyIAAAAAAEaY/W2NvZ7vDtXcTpduOG55wjFFnnDLrqnF5XHnTh47La35AcOJdf2uLY2H9fwBM4uzQTY1dLXrh2uf0DfWPJpwvbNYOYMWvGVnjbdEFW/j8ksTjBye8l050W2Hw5Gw6o3gDcBwwCcRAAAAAAAjTJO3I7p9zYwTZJT2VKedN3GurVJgclF8sCb1BG8zi6tUFFk3Z0pRuT4+5zRdT5tJjCLvnTTftv/3nW9laSbIli2NNfrtphf1k3ef1t7W+Mq2ZLp/iSHThlPwNrmobMjefyCWVU2Nbp80dqrtXKK2kgRvAIaD4VVLDAAAAAAA+tTq64pul+bk6wsLz1FXwK88d/waPYlapU0qLNP4gpLwebdH3zz+vdrTUqf5FRPksayHBYwGif5dhEIhOZK0qsPoc9e211Xb2davaz419/Sk7QzT5dQwCt4KE/9yxnDxoVnLdFzJWFXkFWhB+QTbObfDqS7LvkOytVcGgGwheAMAAAAAYISxr9WWK4fDkTBckMLtJq3G5BXqK4vPs60xVJ5bkHA9HWC0KMvJV6OlUjSokFwieDsWdAZ8vYZuRmm1zKbDtmNXTl+qpWMmD9qcrKFvUEO5xlt88DZxmAdvBe4cnTnhuITnYqvbxheUJv3fQgAYStTeAgAAAAAwwjR0tUe3i/rZCu3905Yoz8WDSRxbphRV2Pb9CQIIjE71fVS6XTJlQVxl26KKCUlGZ4bT4bDFvkNV9dbm98Ydyx/BQVVshfbU4soszQQA7AjeAAAAAAAYQeq72lQfCd48TpfG5hf16/rq/JLBmBYwrF01faltn+Dt2NHgbU94vDynQFdNX6rZZdUqzcm3nctJ0KI306xVb6EhCt6s64NK0vumLhqS9x0ssWu8TS8ieAMwPNBqEgAAAACAEWRb05Ho9oziMXGtJBP51NzTdd/Ot7WkcpImFw3vtmLAYPj/7N13eFxpff7/e7pGvfdq2R73bq+39wZbaaEmkJCQ8guB5JtCQkKAVNILIQRICKFmgQC7yza2r7d4Xdd13GRbvfc29feHpOMzmhlpJI2q36/r2stznvOccx7ZkryeW5/PU5QaGTgHw8FFWgkW2lDAHzXmySrSb2+53Th2TGpZ6F6AqmCrLEabyWA4JNsC1Ef0mdoUb84t1dsqNs77M+dTRVqO2ob7jeOqjNwpZgPAwiF4AwAAAABgGdnfdtF4vTarMKFrtudXzOt+RcBykONMNaqfAmEq3q4Ww6bg7dqiVbqnfL0K3BkRc9pGBiKO3XbnvK/LarFoYnu3hdrnrc9U8ebJKoqouluO1mQV6mDHZeO4JDVrEVcDAFfQahIAAAAAgGWizzes493NxnGiwRuAyLZ0tJq8epzuaTFep9udKk7Nks0S/y3RlAVoMykpYl+5+Wg1ea63XT9rPK0h075uvb4rFW+T22suR2mTAlLXAv3ZAcB0+G4EAAAAAMAy0TLUF3G8KjN/kVYCLD/mdoIEb1eHrpHBiIqoRCrZMhwp87kkg9X0+djrG0lqlV2fb0R/f+xZBcMhXezv1EfXXW+MT8h0LszHOZ8255Yq1e7QUMCvvYXVi70cADBQ8QYAAAAAwDLR7x81Xm/MKUlofzcAY8wVb0FaTV4VvL2tEcfx9m5796odxusPrblmXtc0waorFW+fOfhYxF5lc3Wxv9P4HH+z/ZIG/WNVb73+K60mMx3Lv+LNbXfq97bepV9Yu1fvrd292MsBAAMVbwAAAAAALAOhcEj/6X3VOF6oqgxgpbCbK97CwUVcCRZK66Qwy5NdFHPezSVrZLdYle5wxZ2TbPnudA30X/lhiuNdTbqtzJOUe0/+/D7a1aDrilZF7PGWtQIq3qSxfd3Y2w3AUkPFGwAAAAAAS1wwFNKvv/JdBUxVOg6q3YAZMVeI0mry6tA6fKU9751l61WWlh1znsNq0y2la7WroGqBViZ9YHVkhVYgiVWYQwF/xPGRjnp9+9ybGgkGJEk2i1WpSWxtCQCIRPAGAAAAAMAC8QUDahvuVzgcjnl+wD8adS4UDukvjzylyVdszi2dp1UCK5PNVPF2uKNe+9suanQ8iLgaXB7o0vfOH1RdX8diL2XBtA5dqXjbkV+xiCuJVpmeq7vLNxjHyWx/OhzwRRwf7WrUi81njeNMZ4osFsvkywAASUKrSQAAAAAAFkAgFNTnDz+htuF+Faakq9Cdqa155bqxuFane1r1dMNJnexpkSerSJ/cfJssFotah/r098eeVY+pPZgk/er6G7Ult2yRPhJgebKb9nh7tskrSVqfXaxPbL5tsZa0oL586hV1jAzo9bYL+ss9Dyklzn5nK0UoHIqoeCtyZy7iamKzmcKvYBKrMIcmBW+TZdGqGADmFcEbAAAAAAAL4GJ/p9rG9xtqGxlQ28iATnY3q3N0QE/WnzTmeXtbdWmgS9UZeXqq4WRU6LY1t0zbl1jlBrAclKVl60R3c8SYt7d1kVazsPyhoDpGBiSNtSE82H5Z1xfXLvKq5lfX6JDRvjHDkaI0x9JrrWiuwkxqxVvQP+X5jBWyvxsALFW0mgQAAAAAYAF0TwrQJCmkcEToNuEHdYclSftaL0Sde0fNtqSvDbga3FuxUQ9Xb9MNpsApXtvXlWZ40p5f+1rPL9JKFk778IDxutCdsYgric9chRlMwudi9+iQjnU1qt83Mud7AQBmj4o3AAAAAAAWQG+M4C2eM71t8gUDslusRsXGhKXYLg1YDlLtTt1TsUHhcFivtIwFT2FJoXBY1hW+39WxrsaI4wt9HQqGQrJZV+7P5I+aqr7S7Euv2k1KbsXbSMCvPz34uEamqXaTrp7AGQAWy8r92xUAAAAAgCWidahPj1w4NKNrXmo5FxW6SZJlhQcEwHyzWCyy6srX0UoPIRoHe/SNs29EjIUl+UKBxVnQAvGFgsZrl21p1h7MNXhrHOwx9rE71FmfUOgmSbeUrp3xswAAiSN4AwAAAABgnviCAT3TcEp/cvCxiPF3r9oRNTfN7tTm3FLj+InLJ+Z9fcDVylzhlsy9tZaiH196K+a4OZhaiczBotNqW8SVxBcRvIVm9nl4tLNBnzv0U3324E91vq99RlWbm3JKp58EAJg1gjcAAAAAAObJ18+8ru+P79c2oTojTzcWr44Yq0jL0ed23ad311wJ5AYCowuyRuBqZA48Qiu84u1yf1fMcV9whQdvpo/PYV2iFW9WcwA8s8/Dl1vOjV8X0j8ce04pCX6MH167l8ppAJhnBG8AAAAAAMyDcDisgx2Xo8Y/uHqPXDa7tuaVS5LS7S59YvOtSnekqCg1UxVpOQu9VOCqY64OCmnlBm+9vmF1+4ZinlvprSZHzRVvtmVQ8RaeWRDaPNRrvPaHgjFbE0+WYnNoT2H1jJ4DAJi5pfnjHgAAAAAALHODAV/U2H2Vm1SRPhasfWTtXh3tbNSqzHylO1KMOTUZeaof7I55z4ert87PYoGrTETwtoJbTR5sjwz/C1LS1T4yIGksrFnJfnTxqPHauVQr3iKCt8QDYH8oqI6RwYixRPZ3e2/tzohnAgDmx9L8WwcAAAAAgGWuY/zN7QnpdpfuLt9gHLvtTu0tqom6rjojTy+NtxCb8IHVu7Uhp0T5Kenzs1jgKmOdZeCxnPSMDul7Fw4ax3eVr9eFvg4jePMFV3bFm1nX6OD0kxbBbPd4O9xRHzXWPNQ37XVZTnfCzwAAzB7BGwAAAAAA86B9uD/i+Pe33SWnbfp/hq/KzI84tkhan11M6AYkkS2i4m1lBW/BUEhfPb1Phzojw5mS1Cw1DPYYx74VXPEWnvRnGphBqLWQzJ+HwRlUXsaa+7PG09NeR/AGAAuD2mIAAAAAAOZBu6kN2B1l61TozkjoumJ3pmpN4dv9VZtVkOC1ABJjWcHB2+nelqjQTZJKU7PktF7Z6+xoZ8NCLmtBTW6jeUfZukVaydRsVnPlZeLBW5rdNavnFfADHACwIKh4AwAAAABgHvT7h43X2TOoMrBYLPrY+hv1emudajMLtDqrYD6WB1zVbCt4j7de30jM8eLUzIjA5qWWc3q4ZptS7c6FWtqCGZ3URrMqI3eRVjI1c6vJrtGhhK8La3ZhcSJV1wCAuaPiDQAAAACAeTBieuPXPcM3trOcbt1dsYHQDZgn5j3eVlrF20jAHzV2d/kGpdgc2lVQGTH+yde+ry+fenlG+4stByd6mo3XdsvSffvTHLw1DfUmHAInui/hhpwS4/U7arbNaG0AgNnjxxwAAAAAAJgH5je/3TbHIq4EwGRWmffWWlnB23DQZ7y+t2KjHqzaYrTW9GQXRc0/1FGvg3mXtaewOmlrCIZDOtbVpCxnimoy8qe/IMn+y/ua8TqwhCsaS1IzI457fMPKdaVNe12ibSl/yXOd/u/iETmtdt1e6pnVGgEAM0fwBgAAAADAPBgOXgneXLT3ApYUq7nVpJZuMDMbw4Er1bYpNkfEfnY2i1XladlqGOyJuOZEd3NSg7cXm87qexcOSpI+s+NtKk3LTtq9pxNeRkFq5qQ2xL5gMM7MSIlWKKY7XPrQmmtmvC4AwNws3VprAAAAAACWsRFT8Oa2U/EGLCW2ZdhqMhQO63vnD+hjL39b3zq7X8MxWkq+2HRWzzSeMo5jVdveUFwbNZbhcEWNzcVE6CZJXzr1clLvPZ3W4f4Ffd5cVaTlGK99ocAUM69IpOLtNzbcPOs1AQDmhuANAAAAAIB5YG41mUKrSWBJiah4WybB2/GuJj3XdEaS9FLLOT3VcDLifCgcjgi8JCnFHl1tm2aPDtkGAr6osWRpG+7Xx1/9X40GEwuV5upcX3vE8Z1l6xbkubPltNmM1wlXvE0RvH3Ec61+bf2N2pJXNue1AQBmh+ANAAAAAIAkC4VD6vINGcfpSa4mATA35uAt0f2yFttrbRcijp+oPyFp7PvNU/Un9ZXTr0R9LNnO1Kj7xPp+1DLUm8SVRhsNBnSg/dK8PmPCm+0Xjdd5rjTdV7V5QZ47W07rlXA00Yq3wBStJvcW1mhbfsWc1wUAmD2CNwAAAAAAkqxxsNeo7shyupXpSFnkFQEws5paTS6XPcHiVUM91XBKP7x4RIc66qPO5biig7dYFW91/Z36/oXDc1+k4u8/drG/Myn3n0qvb1ine1qN4/es2rHkK46dVnPFW/JaTQIAFg/BGwAAAAAASdQ81Ks/O/yEcVyTkSeLqboGwOKzmb4mH7lwSCe7mxdxNYlpGOyOGguFQ/rp5eNxr4kZvDmcMec+03gqYm/K2Yp3j67RoZjjyfR6W13EcZbTPe/PnCun7UrF22DAJ18wMOV//lAwbvB2bdGqhVo2AGAK0Y2eAQAAAADArH3r7JsRxzUZ+Yu0EgDxWHQleLs40KV/Ov68PrfrPhW5MxdxVfH1+0bU4xuOGm8fHpAvFLsS7t6KjXKYqqkmpMeoeDPfryI9Z1ZrDIZDssqi4TjB20Ls8Ta5KjBzOQRvpj+jb5x9Q984+8aU862yKKTYVZo78mgxCQBLAcEbAAAAAABJdLavLeK4JiNvkVYCIB5bjCrUxsGeJRu81cVo05hmd6opzt5sO/Ir9FD11pjnXLb4bwe2j/TPKng739euL554UYMBX9w5ie5fNheDgdGI4xzX0g/eMmbYijhe6CYpZtAKAFh4tJoEAAAAAGAeVWXkLvYSAExi3uNtQrzKsYXW5xvWt87u11MNJ4395450Ru/fljpF8PaeVTvj3n+q1rdDgdm1mnyp+WzM0M28v1qi+5fNxmgwoGNdjTrS0WCMfWjNnph/zkvNjSWrVZ2eK4fVNu1/0zUttlmX/scLAFcDKt4AAAAAAEiCcDis1uG+qHHzG88Aloa8lLSoMX9waQRv/3vhkN5svyRJqs3I1+qsQrWPDETN84eCuhijEi7PlTbrvc1GZ7DHW8tQn77mfVWXB7rizslypmhkeOyeo/NY8fYfp17R8e4m49husWpXQdW8PS+Z8lPS9ant9yQ095+PP68TU+xHSOwGAEsDwRsAAAAAAHPkDwX1j8ee07m+9ojx96/evUgrAjCVO8vW68XmsxFj/iVS8TYRuknSa211Wp1VqF7fSNS8Pt+ITppCmF9df6MuD3RpZ0GlrFNUtU1ldAbh4yMXDk0ZuknSqswCtQ73S4refy1Z/KFgROgmSWuzClfkDz1MF6hOVc0IAFg4/CAEAAAAAABzdLD9clToZpFF1xetWqQVAZhKgTtd76zZHjG2FFpNjsZpx9jrG4oaCymsQDgkSapMz9H2/Ao9WL1V5Wkz36NtQqL7sLUO90WFXbHsLqg0Xs+m4m00GDDabcYSDIf0h/t/HDW+Obdsxs9aDjzZRcZri6Tri2ojzlumbUYJAFgIVLwBAAAAADBH3t7WqLEUm112q20RVgMgEXeUrdMP6g4bx/4YwVA4HNaPL72lzpFBvaNmm3JcqfO6pobB7ojjV1rOqyw1WyPjgZzVYlEoRhA107aKH1l7rf7rzGuyW6y6rcyjpxtOSUq81eRbnY0JzVuXVWy89oeCCoXDCVfjPXrpmH56+bhCCqsqPVerswr0juptEd9Xz/S0qc8fXQ24Obc0oWcsN3sKquS2OdQ23K8NOSUqS8vWvtbzxnmnjb9zAGApIHgDAAAAAGAOwuGwTve0RI2XpmUv/GIAJMxqsejh6q36v4tHJcWueHup5ZyeqD8hScpwuvSeVTvndU2Ngz1RY9+7cNB4netKlcNqV/NQb8ScVRn5M3rO3qIaVaTnKMPh0lFTiHa6p1X+UFCOaX5o4OykCt9YbilZK5vVKqfVZvzejgYDctunbwHpCwb0RP0JhTQWMl4a6NKlgS6tzizQjvwrVXT9MUK320o9KnBnTPuM5chqsWprXnnE2G2la/Vc0xnVZOSpLDV7cRYGAIhAq0kAAAAAAGYpFA7pV1/5jrpGo9vAPVi1ZRFWBGAmzAGTLxhQKByO+O+75w8Y559t9M77epqH+qY8n+VM1X2Vm6LG81LSZvyssrRsZTrdctmu/Fx+01Cv/vjNRzXgH417XSgc1rnetpjnfnX9jarNLNBNxav1zpptkqQ0u8s4PxiIf1+zi/2dCo630TRrGowMHIdNFXo3FNfq3294n36udn7D0aXmPat26jM73q7f3Xone7wBwBJBxRsAAAAAALNU198ZcXx7mUe786tkt9pUkT77fZYALAyH9cpbYy80n9ULzWfjzs12uud9PZMr2SbLcbq1M79Sj7mPqXl4LKRLszvntLbJ7TO7fUP63KGf6gvXPBw1dyjgU/fokAYDPklShsOl64tq9XTDKd1Yslrb8yu0Pb8i4pp0h0vd43vUDfhHlZ+SbpwLh8MKKyyrJbI2oDvGnnaS9OjlY1qbXaS1WYWSpOHxdUhSqt15VQZPFotFpWlZi70MAIAJwRsAAAAAALP0tdOvRhw/ULVFKbbp26gBWBrSHa7pJ40rcmfO40rGtJgq3lLtDg0FIvdc25BTIovFoj/e8TY933xGZ3rbdGNxbVRwNRO1mQW6s2y9nmk8ZYz1+oajWk5+7/xBPdfkld30rFUZ+Xq4Zpvuq9octz2l+ffYXEkXCAX1d289q+ahXn103fXaZNqXrc8X3UJywj8ee07/dsN7JUnDpt8fN997AQBLBK0mAQAAAACYpc7RQeN1jjOV0A1YZjbnlmp9drEsssgiRfw3WSAcvQfcbL3eWqe/PPKU3mirM8aGA36j0stmsao6xr5tNRl5Y+etVt1Rtk6/vuEmbc4tm9NarBaL3rVqu24sXh0xPmSqJguFw3quaazVZsDUAjJvvHptqj3hzMGbudXk0c5GXejv0HDQr3858ULENf2mgG7bpD3NguGQvnZ6n756ep+ebDhpjLvtzrhrAABgIVHxBgAAAADALARDkfsPhRVepJUAmC2H1aZPbL4t5rmPvfztiGN/KDnBWygc0n+deU2S9J/e17Qrv0o2q1UtpjaTRe4MZUyqxrPKokJ3RlLWEMu67CK93HLOOB4O+JQ13sLS3NLRbHKbyljSTIGYueLtx5eORswzV9h1m36oYXNuqe6r3Kw/O/yEMba//dKUzwEAYDFR8QYAAAAAwCz0+ocjjh+u3rY4CwEwL24tXRtx7A8mJ3gbmhRitQ73KxwOR+wvV5KaFVVBW+jOkH2KyrK52jFpb7ZB0zpPdDfHvCaR4C1Wq8nOkUG1DvdHzPMFA2PP9Y9GBGtjvxfT1w5kOlOmnQMAwEKg4g0AAAAAgFloGuyNON5VULlIKwEwH+6r3KR+34gOdFyWJDUP9ykYCslmndvPsZurviTpaFeDvnL6oppMFW/F7syIlo7SWAA1n6wWqzbklOjkeMhm3j/tx5feinlNjnPmwdu3zu7XS6bKugmBcEhDAZ9++/UfGGMOq00VaTkaCfqj5k+W6SB4AwAsDVS8AQAAAAAwC4fG34yXpNvLPPNaiQJg4aU7UvTuVTsixp5pPD3n+w74IyvefnTxaEToJknl6dlRFW8lqZlzfvZ0Uk3PHDDtx9YxMhBzfm4iFW928x5vvpihmyQFQiGd6W2LGLu91COnzZ7Q/plUvAEAlgqCNwAAAAAAZigYCulIZ4NxvDOfajdgJXJMCtSfbjg153v2+UemPL85t1Sbc8vktkc2qprvijdJyhzf002S+nxX1rk2qzDm/CzT/HjSTBVv/VN87IFQMKoN59sqN0mK/nOIJdXumnYOAAALgVaTAAAAAADM0Lm+dmP/oxxnqmoy8hd5RQDmw+TAxzHHNpOS5O1pjXvuU9vuVnVGniTFqHib/+At23UlSOsZHZI0tuday1BfzPmJtN00t5qcXNFmFgiHNGJqb7mnoFqu8b3dLBbLtM+xJjAHAICFQMUbAAAAACRJMBTS+b72hPaiwfJmfvN4c24pb/gCK9Tk4K0sLXtO97vQ16EXms/EPW8OqczPslusKnJnzOnZicg2VbD1+Ib1dMMp/fbrP5i2Sm8q5o9pKv5JFW95KWkR5z++6RZtzClRsXv+W24CADAXBG8AAAAAkCT/fuplfeHoM/rn488rFA4v9nIwj8zt0haiCgXA4rBYLPrY+huM40AoNKf7fb/u8JTn0+xO43Vleq4eqNqsHFeqHq7ZJqdt/htXZTuv7NnWOTqoH0yx3j0F1QndMz3BFpC9vmH1+oaNY7c9suJvY06pPr7pVl1XtCrqWvPvGwAAi21e/sb2eDwflvRfkm70er2vTDpXIelyrOvG7fN6vTeYBzweT6mkz0i6U1KJpHpJ/yPpC16vdzT6FgAAAACwsELhsN7qapQkne/r0InuJm3OLVvkVWG++IIB47VrAd4MB7B4MhwpxutAeG7B2/m+9inPT24v+fbKzXp75eY5PXMmzBVvF/s7Y865t2KjfMGA7q7YkNA9nTa7nFabfKHglPP+7eRLEceptthhmtMWWYWY7XTr1zbclNBaAABYCEn/14HH47lW0r9MMWX7+K9vSToW47x30v3KJb0mqVzSYUmHJF0v6XOSbvN4PHd5vV76uAAAAABYVKOT2ku+0HQmZvAWDod1tq9dGQ4XlVLL2CjBG3DVsJv2MQtMEx5NZSToV3lathoGe2Kev79yc0J7mc2nLNMeb/HcUeZRuimMTESawyXf+J5xiUqNU8XmsEZ+z/3crvv5PgwAWFKS+reSx+N5p8Yq3dKnmDYRvH3B6/V+K4Hb/pvGQrc/9nq9fzb+nDRJP5J0h6SPS/q72a4ZAAAAAJJhOBAZvB3vbtag36c0R+Qbh6+0nNc3z+2X3WLVp7bfrfK0nIjz4XBYj10+rqahHr2jepsKFmBPH8zcaIjgDbha2C1XKqxm2moyHA6rbaRfbcP9+vKpV+SfIri7pXTtrNeYLCk2h1Jsjin3KnVaZ/49L93uUvcMg7fJrSYnDJv2gZP4HgwAWHqSssebx+Mp93g835D0fUk2Sa1TTJ8I3g4mcF+PpPsknZf0FxPjXq93UNIvSQpK+s1ZLhsAAAAAkmYo6Isae7LhhF5oOqPvnDugAf+I+nzD+ua5/ZLG2pX9+8mXo6650N+hxy4f06GOen3j7Bvzvm7MTkTF2yzehAawfDjMFW/hmVW8ffnUK/qTA4/pX0+8OGXolp+SvmT2KTO3m5SkYnemtuaVS5I2ZBfPaq+5dEdi+7yZxat4C7KHKgBgiUvWvw7+TNKHJB2Q9IsaazVZFGfudkkDks4kcN+7JVkkPer1eiN+pMjr9V72eDyHJO32eDwbvF7vydkuHgAAAADm6mhnY9TY0w2njNcdIwPKS0mLON8+MqBgOKSmwV6lO1zKcaXqcEe9cf5Mb9v8LRhzYg7eZvMmNIDlw269UvHW6xvW0c4GrcsunrbSaiTg1+HO+pjnLJJ+Ye1evdh8ViWpWbq7fP2it5mckO1yq2W4zzj2ZBfpPat2qHmoT6Vps2uRnDGL4M1ti13xdl1RjR699JYC4ZDeXrFpVusBAGA+JetfB6cl/YKkb3q93tBYoVo0j8eTK6lSY/u0/bbH4/mQpDWSeiQ9JulPvV5vk+mSjeO/Hp/iubslbZZE8AYAAABgwYXDYXX7hvRs4+kp5x3vboo5/q2zb2pf63nZLFZ9evs9GjEFOpI04B+Z8V46mH8+U6vJFII3YEWzW65UvI0EA/q3ky9pbVahfmfLHVNe1zk6GPec2+7QtUWrdG3RqqStM1lSJgVeBSnpslttqkjPiXPF9PYUVutA+2WFlHi1mjtOxVum060/3nGvWob6tDG3dNZrAgBgviTlXwder/evEpw60WZyh8bCshclNWgsPPtlSfd7PJ5bvF6vd3xeyfivzXHuNzEer7oOAAAAAObVN8/t1yst52d9/b7WsWuD4ZA+e+inUecvD3RrQ05J1DgWFxVvwNXDbo3eqeVMb5vC4fCUVWpdUwRvQ4H4e6gttmuLVulIZ4NxnJeSPud7bs4t019d85CGA361DPXqS6fGWi3fUFwrb0+r2kcGIubnuFKV7ojferM4NUvFqbOrvgMAYL4t9L8OJoK345Ie8Hq9dZLk8XjSJH1F0vskfUvSrvF5E31Y4u2+Ojz+67T/B+DxeD4s6cMJrnNbgvMAAAAAXMXC4fCcQrdEHO9uInhbgiL3eIvdDg3AymC32GKOB8IhOWKcG/CP6meNpyPaDS8nNRl5EccFSQjeJCnL6VaW063i1Ez9oudaNQ326vaydXradkrPNF75vXq4epu25pXJaokOPAEAWA4WOnj7B0k/kNTv9Xo7Jga9Xu+gx+P5qKSbJO30eDx7vV7v65Imdp2drg49kb+JqyXdPPMlAwAAAEBsvlAwamxjToku9HVoOJicaoZ9Lef1rpodsi6RvX8wFrhGBG+22G/KA1gZHDabHFab/JO+5/uCQTms0V//TzWcXLahmxS9H1v+pP1Jk+Gawhrj9ZqsAiN4y3a6dU/FhqQ/DwCAhbSgPzri9XqDXq+3zhy6mc4NSXpu/HDn+K8TNfnuOLecGB+Ic97sosZaWybyX28C9wMAAABwlRuJEa5VpecqfdKblpL03tpdeveqHQndN9eVqjS7a/wZAf3JgUfntlAkVSAcMvYpslosssd44x3AymGzWPVg1Ral2iOrW/2hQMz5LUN9094zx5malLXNB6vFqjvK1ski6cbi1XH3WkuWzbll2ltYo4q0HP3ahpvm9VkAACyEpdaIvmX814n/+5jYfbw4zvzp9oAzeL3er0v6eiKL8Hg8L4jqOAAAAABTuDzQpb888lTU+LrsYv20/kTEWJ4rTbeWrpUvGNAjFw5Ne+97yjfqXF+b9rdfkiS1jwxoOOCX205Lw6XAXO2Wwv5uwFXhzvL1urN8vf7ozR+rY2Ts58QnV8BNCIZDU94r1e7URzzXJn2NyfTuVTt0f+VmpSzA3ztWi2XJ/34AADATC/ovBI/H8xlJmyV91uv1HosxZaLOfGIH1+Pjv8arMV8//musewEAAADAvHmx+axC4eiu+Ksy85XhSFG/f8QY+9CaayRJzgRDmgJ3ukpSM43gTZIGA6MEb0uEzxS8Oa0Eb8DVxGH6mo/VbliSAqH4wVtZarb+cPvdy6JSdiFCNwAAVqKF3qV0i6R3SnrP5BMej6dQ0l2S/JKeHx9+cvzX+z0ej3XS/EpJ2yVd8nq9J+dtxQAAAAAQw6DfFzXmstrlsNr0toqNksZ+iv9T2+7W+pwrTTx+Z8sd2l1QpTWZhXHvXZ6Wo7XZRRFjw4Hk7BmHmdvfdlF/sP9H+t/zBxUOhzUSsb8bb0wDVxPznm6zqXi7vcyzLEI3AAAwewsdvH15/Nff8Xg8108MejyedEn/KSlT0le9Xm+LJHm93jqNhW/rJH3OND9N0lcl2ST93cIsHQAAAACuCISj33D9rc23SpJuKV2r/2/jzfrUtrtVnZEXMWdtVqE+uu567SmsjnnfyvRcZTpTJEmrMwuM8aFAdNCH+Tfo9+l/zr6h7tEhPdvk1fm+dtX1X9m23EWrSeCq4jSFZnEr3mIEbznOVF1XtErXFtXEuAIAAKwkC/ovBK/X+7TH4/l7Sb8t6SWPx7NPUoekGyXlS3pZ0v+bdNlvSNon6Y88Hs+DkrySrtPY/m5PSPrSAi0fAAAAAAyTKx1+btVO1Y4HZVaLRZtzy6a8PhSnIuKG4lrjdZrdabweJHhbcH2+Ef3Vkaci3lw/2tUYscdbbWb+YiwNwCIxV7z947HnZLVYoubEqoT74x1vU5rDGTUOAABWnoWueJPX6/0djbWa3KexVpH3SGqW9HuSbvd6vUOT5l+QtEfS1yUVSHq7pG5Jn5L0Dq/XGxAAAAAALDC/aQ+fd9Vs162la2d0/eRKOElKt7t0jakSzm0K3oYJ3hbcV0/vU+foYMTY0w2n1D4yYByvzYrfMhTAymP+gYhgOCR/KBj1XywpdqpjAQC4WszL3/per/eWac4/IumRGdyvXtJH5rgsAAAAAEga85ura7IKZYlR9TCVqvRcPVy9VU1Dvbq+qFZnelu1La9CKaY9w8yVFbFalyH5DrZf1qOX3tKarEJ5e1tjzjnZ3Wy8znGlLtTSACwBt5Su1bm+dvX4hhO+Zl12kWyWBf/ZdwAAsEj4cRsAAAAAmIWAKXgzB2SJslgsuqdio3HsyS6KmmO3XnmjNhCnimKh+IIBPd90RukOl64rWjXjoHGpuDzQpUv9XcpPSderree1La9COwsqJY19jP9x+hVJUvNwX0L3y3WlzdtaASw9a7IK9Zd7HlQgFPuHIR65cEgvtZwzjj+weo/2xtnTEwAArEwEbwAAAAAwC/45Bm+JsFtMFW9x3uRdKM82efWji0clSZnOlGn3sFuK+n0j+sLRZyL+7A53Nmh9TrFS7U692X4p5nXXFFbrwaqt+sM3fxwxbrVYlOFwzeuaASw9VotVTlvsCra0Sd8TtuSWymnj7TcAAK4m1LkDAAAAWJJO97RoX8v5uPvlLLYFCd7MFW/hxfl9CIfDahzsMUI3SXrkwuFFWctcdI8O6UhnQ9Tnkz8UVPNQryRpX+v5mNfmu9KVl5Kmh6u3RYznOFNlpX0cABNzu2Ap8vs4AAC4OvAjNwAAAAAW3UjArxebzyrTmaJrCqu1v+2Svn7mNYUl9fiG9PbKzYu9xCh+UwWaY57eWDXf17+AFW/hcNhoJXmw47K+cnpfxPnhgG/B1jJb4XBYJ7qb9XLLOR3pbJhybq9vRL5gQHV9nTHPb8otlTS2L59ZNvu7AZjEPSl4s1nm5wczAADA0kXwBgAAAGDBhcNhBcIho1Ls8frjerrhlCTp62dej5j708snlmTwZt5zzT5PFW+2RWg1+UzDKT166Zj2FtXofbW79NVJoZskuZZB27T97Rf1n97XEprr7WlRpsOlkMJR5z62/gatysyXJFVOCt5oMwlgMrd9cvC2PPfDBAAAs7f0/7UEAAAAYMVoHx7Q/vaLeqr+pGxWiz6weo825pToZHdz3GsC4fiBk7kyayGd6W3TaChgHK+UVpPhcFg/rT+u0VBALzaf1fa8ihhRlDQYGJ33tcxEMBzSa611ahrsUY9vWGGFdaijPuHrX2g+qxeaz0aMpdod2l1QrR35lcZYmsMZMWc44J/bwgGsOAXu9IhjWk0CAHD1IXgDAAAAsCD6fSP6/KGfXgmsQopqYRhLbpx2fr2+Yf3riRfVMTKgX11/ozzZRclcblz/V3dETzacjBizzdM+X44FrngbCfo1ZAqTnpr0cU4YCvj1VP1J3VW+flGCz8mebfTqB3XJ23fu3at26PZST8yP7a7y9UZ15nVFq5L2TAArQ7E7K+KYfSABALj68Lc/AAAAgHkVCod1srtZn3rzxxFVYonq948qHI6suwqFQ/qPU6/o8kCXhgI+fff8gWQtd0qhcFg/azy9IM+SJle8zX/wdrDjcsTxqZ6WuHN/ePGITkxRqbgQ6ge69bGXvz1t6LYtrzxq7Jc818WdX5CSHjdQvL9ys24r9eju8g3aVVAZcw6Aq5fb7tC9FRvltNp03xJskwwAAOYfFW8AAAAAkuZsb5uebzqj0tQsvb1ykywWi37WeHpO1Uj+UFCne1q1PqfYGDvW1aRzfe3GcdNQr3zBgJzztPfYgH9ET9SflMNqW5AAbEJE8Baa/1aTRzob4p5LtTv0c7W79F+mfdMOdFzWptzSeV9XLH2+Yf3tW89Ejee4UtU9OiRJelfNdt1W5tGB9ktRH1tNRp52F1TpzfZLUffIdaXFfa7TZtfP1e6c4+oBrGQPVW/VA1WbqXYDAOAqRfAGAAAAICkCoaC+dPIlDQZ8OqixMOzdq3YkpQXgN8+9oT/f/aBxfDpGJVaff0T5tvSo8WR4sv7kgla6TbCbWk16e1r1rydeiDnnhuLaWQVgRzob9IO6w2ofHtDNJWvU7xuJO9dlc+iaguqI4M22iG0mv3P+gEaCkRWUNxWv1gfW7FEoHFZYYaMF6ORWoDeXrFGBO0N3lq2PGbxN3qMJAGaK0A0AgKsXwRsAAACApHil5bwGAz7j+GDH5ajWhVZZtKewWq+31cW8R5rdpeuLV2lPQbX++8zrqh/sliR1jAxGzGsbHoi6tt83ovyU+QlMnlmE0E2SHNYrwVuff0THuppizjvW1ajP77pfuSnxK7Vi+e65A+r2jVWHvdB8Zsq5KVa7LBaLPrruen11fG++vimCumQJh8P67vmDutDfrvfW7lJtZoEk6XRPa9Tceyo2SpKsFoukK6FgtjNyn8D3r94tSarKyFWa3aXBwKhxrjwtWyk2R7I/DAAAAABXCYI3AAAAAHPWONij750/OO28P97xNhW401Welq26/k7dWrpWa7IK1TjYo7bhfm3KLTXCpo+uu06fOfi4ce3fHv2ZPr7pFjltdg34owOfvhhjyZJmd0aEihMskj7iuXbenrsmq1CpdqeGYjzbLBAO6fH64/rQmmsSvvdoMGCEbolw2cfCqHxTG8a3uhrVMtSr4tSshO8zUy82nzVCwS+eeEl/f+07FQqHNRzwG3PuLFuvO8vXKcvpjnmP2sx87cir0Lm+dv382sjfo/fW7tTXvK8axw9Vb52HjwIAAADA1YLgDQAAYAXwh4I62d0sh9Wm7tEhbcurUJrDudjLWlH2t13U801nVJOZpxuKVqskNVOWRWyzt9Rc7O9USOFp5038vt1Zvj5ivCwtW2Vp2RFjxalZynSkGIHa2b42Pd98RneXb1C/f1STzVf1VTgcli/G/mq7C6r0zprtynGlxrgqOdx2h/5i9wM619eucIzf3o6RAX3vwljg+Xprnd5buyuiSm6y7tEhtY8MaHVmgXpGEw/dJMllHfvnY/akj/dPD/5Uf7zj3qg/v2QYCfr1nfMHjOPBwKh6fcNyWu0Kj3++uWx2vWvV9invY7FY9LENNyocDkd93e4qqJLb7pDLatearEK+rgEAAADMCcEbAADAMjcS8Osfjj2riwNdxtjRzgbjDeR12UU629umXflVynCmLOJKl6+RgF/fOPuG/KGgLvR36NlGr24sXq0Prtmz2EtbEsLh8LQVWZJUmpo141CjODVTfb1XArUf1h3RtYU1GogVvI0HdBf7O/VGW52uKaxRdUbejJ4Xy4B/VP4YwZsvFJzX0G2C2+7U5tyyuOcfu3xMgwGfAuGQRgJ+OZyxg7de37A+c+AxjYYCenvFJtVkxv+9KXZnqmW4L2Jsoposc9L3kbDCOthxOSp4O9rZoCfrT2pvYY1uLl0z1YcYUygc0u+89oOo8f89f1DvrLkStLln0BYy1uef1WKZ8vcXAAAAAGaC4A0AAGCZmQgAJqpanmk8FRG6SdLRrkYd7WqMGDvd06pf23DTwixyhekYHYgKXl5uOXdVB29vtNXpuUavLg50yWm1yWLaT+v6olU60tkYsW+WJO0trJnxc1Lt0ZWb/3T8eY2GAlHjfb4RjQT9+ufjL2gwMKrnms6oMj1XP7/mGlWk58z42RO64lSG3VIy8zBpPjhtdqMNZqzKvAl/feRp4/ft8frjqkrPNc5lO93q8Q0bxzeXrDEq6SZMhIw2izXq3rGCyX87+ZIk6UJ/h7p9Qyp0Z+jawpqEw9eL/V0KhENR4wc6LutcX7txHOtzBAAAAAAWC8EbAADAMtE63KdXWy/oZw2n5bTZ9MnNt6ssLVuvtJxP6PojnQ3zvMKVqa6/Q98+dyDmuYm2dYFQUIFwSCkzqLxZzoLhkL597k2NBMdCnMlhT1latkKSXmu9YIz9yrobtD2/YsbPihWqNAz2xJz7QvMZYy+wCZcHuvTT+uP62PobZ/zsCd2jg8bryvQcVaTlKteVqvXZxbO+ZzI5rVf+WeePEUhKY39mnaaPQ5IumQL7D6zeo+LUTHWNDirHlaoid2bc4E2S9hZW6/W2i8ZxYIrAT5KeqD8hSUqxObQjwc+Dnin2nzOHhOkOV0L3AwAAAICFQPAGAACwxI0GA9rXcj7iTfBAIKTvXzisG4prI96ARnI1Dfbqb47+TMEYVTfSWOA0GvTr84ee0GgwoI9vulWrswoWeJULbzQYMEK3WFLtTk3ekGxnQeWsnnVH2Tq91noh7u5xWU63eqf5GjjUUT+rZ0/oNt2/Mj1XH1pzzZzul2xO055u8SreWob6Yo5PqEjPUY4rVYXuDGOsNjNf5/s6JEmZjhRtyys3zt1VviEieJvcajReEPds4+mEgzfzPn7XFq3SO6q36Xff+GHUvI05JQndDwAAAAAWAsEbAABYdrpGBpXtcssao93ZSvTfZ17XwY7LUePe3lZ5e1uN43vKN+i64lV67NJxBcOhmNf4Q0GjRSWmt7/9YtzQTZJOdjfr30+9bBx/8eQL+odr370QS1tUo1OEbpKU4UjRcNCflGeVpWXrk5tvV+fooE52N+vN9ksR5z1Zhdo/aSyWfz3xgvJc6fq52p2yznCfOXPlVfb4PmdLidNmCt7i/Nl0Tap2M9tdUBVzr7pfXX+TDnZcUk1GvirTcyK+55alZevXNtykL423kxw0BW9vtl/Sqe7mmM+arjLOzLyPX5YjRZnOFH147V59/czrEfOq0ue+jx8AAAAAJAvBGwAAWFZ+fPGofjresuzdq3YoGA4pw5GinfmVctlW3v/atAz1xQzQYrmueJWK3Jn6pXXXSZJeaDqj75yPbJE4FPApawkGB0vJqe4WPdt0Wr5gMKqa8P21u/Xt828ax+bQTZKGAskJmxbak/Un9FLzOd1aulZ3lq+fdr4vTjvDCbWZBRoIjBrtTWsz8+e0Pk92kSSpYbA7xrnihIK3Y11NkqTNuaXalFs6o+f3jl75PMh2RgdUi83cajJexdvIFJ+bv+S5LuZ4pjNFt5Z64l5nbgM6UfHWMtSnr57eF/ea0RkEb5dNrTAn2kleW7RK1xRW69de+a5xLjdl6f2ZAAAAALh6rbx3pwAAwIo2EbpJ0iMXDhmvz/e1L7n2b8mQaOgmSUXuzIjjDTHarxG8Te1njacjPq/M/mj7PapMz40I3ubDoN+nuv4Orc4qmPc940LhkL544kUdH69O+n7dYXmyi1SZnjvldb7g1OGJ2+7Q7oIqne5pVdfIoD6wZndS1uu2Re73ZpG0La9c3zn3pgJTVCaatQz3aZNmFryZA9hs19L7+jG3muz1DavfNxJx3m61anSKsNQywwrACWnm4M3vUygc0v72i1Ne0zzUq5GAXyn2qT+3g+GQjo+HpZK0NqvIeG21WPVg1Rb95NIx7cyviPreBwAAAACLieANAAAsG1NVbJztbZ/TvRsHe/Rk/QnZLFb9XO0unRlv4bglt2zWb0rPVTAU0k8uvZXQ3DvL1kWNFaSky2WzR7QF7PeNqCQ1K2lrXEkevXRMj10+Fvd8hiNlXp7b6xvWTy8fV1latq4vrtXfvvWMmoZ6tTarUL+9+fZ5/fx7ov6kEbpNON3Tqsr0XHWODOpHF4+oJDVL91ZsjFiHueKtJiNPYUkX+zsj7mOzWPXhtXuTut7USWFNVXqu0h0urckq1KmeFmP8waqt6vEN6cXms1H36Bmd+Z6IPaPmVpNLr7rKaar2ndyGMZZVGfm60D+2d9u1Ratm/VxzxVvzcJ8+/uoj8seoaEu1OyKqQT/x2iP64g3vlS1Ou+BwOKz/PX/QCFNznKmqyogMg99WuUm3l61bkZXOAAAAAJY3/pUCAACWjbaR/rjn2of79a8nXhh/s/9aueNUU5zva9fLzedUnZGnG0tWy2axqnGwR5879FNjzrm+drWPDEiSPrb+Bu3Ir0zuB5Kg705qE3ln2Tq91lqngcBo1Ny9RTVRYxaLRR9avUdf9b5qjE1unYgxdf0dU4ZukpQx3uruoeqt+tHFo3N+ZtNgr75w9OmIvdC+de5KNd2Z3jZ95/wBvX91cqrFJguGYwe7RzrrdVf5en3z3H6dHA/l1mYVaXVWgTHHHOY6rXbdWrrWaLs5lyBnOm57ZMXbuuxiSdKm3NKI4K02M1+e7CKd6G5Wx/jX8oRe035tieo2fd3kLMGKt8wZhsKe7CJdX1yr+oEu3VOxcdbPTZv05xErdJPG9mAz//mEJX3jzOv6SJwWlw2DPXrBFJpuzSuLOY/QDQAAAMBSFPtHDAEAAJaQlqE+/eTSW3q28XTcOSGFdayrSUc6G/RMw6mYc452NugLR5/Ra211+s75AzrUUS9JerbRGzGv3fRG/ZdPvaIXm6KrZuZb+3C/Xmo5ZxwXujP0jppt+tu979Cf7HibHKbWcnsKqlWWmh3zPrsLq3Vb6VrjuHsWocNK1zM6pL868vS08+zjv+f3lG/Q72+9a07PHAn69dlDj0eEbrG82HxWbcPxA+e5ONrZGHP8fF+HXmw+a4RukvRq64WIOeZ9xJw2m7blleveio3aW1ith6q2zMt6Jal6UgvM7fkVksb2bTMrS8uWJL23dmdEG0ZJGhzfiyxRI0G/Rsb/nOwWq9LsrhldvxBuKV2r1ZkFSre7ov6LxWm16YbiWr1v9W7luGZfweew2mSPU7VmlumMDgZbTJ/XP7p4VH//1rPGnm7tph+ycFnterh626zXCAAAAAALjR8RBAAAS1rX6KC+cPTpGb1Z/nyzVw9UR7/5/5+myi9J+urpfdqWV260XIvnO+cPaGtembLn8Ab1THSNDuqNtovGcWlqlv54x9tkHW/1V5aWrf+35Q55e1t1fVGt0h1TBwH5KenG69PdLbq7fMO8rHu5er75TNTYDcW1ahjsUdfIoHyhoB40hUkWi0WrMvPj3s8fCkYEo5ONBgMJBX0TGgZ7VOjO0IH2S/qa91XlOFN1fXGtbiiunfV+fe3D/fra6X1xz3/7XOQ+dvtaz6vQnaF7KsY+d3ymijeX1S6LxaKHqrfOai0zUZqWrY9vukWnulvlyS5UdUaepLH9DTfllOh4d7M25ZQYXxObc8v0t3vfqYv9nfr7Y89KGtvncCZ6Ta0ps5zuRWs9O5VCd4Z+d+udMc/9+OLRiL0xpbFqx2SwWCzKcrrVOTo45bx0u0ulqVlqGuo1xiZ+X091t+iJ8fV95fQ+fX7X/RHtQK8prJ52PzgAAAAAWEoI3gAAwJL2s4bTM65QcVqj/xdn0D+qEVNYMOFrp1+N2L8plrDCqh/snrfgzRcM6CeXjimkkNZmFuo/Tu+LeGN8R36lEbpNqM7IM0KH6WzLq9AjFw4pLOlkT4t+WHdE76jZlsSPYPkKhkN6sv6kcWyVRV+68X0Rc0LhcNTvvzRW+fZkw8mo8aGAb8pA7I22OjWbAojpDAd8Gg749PUzrysUDqtzdFA/ufSWjnY26A+335PwfcxOdDcb+2dJ0qe23a1HLhzSub74eyU+eukt3V7mkcNqU59/xBhPmyb4TbaNOaXamFMaNf7rG25W01CvStMi9zB02ewR4fTwFHtFxmJuz7pQ4Xsy3VW+QWHJCLeksdacyVKelj1t8JbmcOmDa/bo6YZTOtLZIGlsb8NQOKxHL19pdzpR3Xmmt80Ym224DAAAAACLheANAAAsWcMBv15pOR81fm1hjV5rq4t73eR9oCTpaFfstnqHO+sTWsu/nnhR/3Lde+Schz2Fnm8+o2cax9pjTm57KUkF7vSosZnIS0nThpwSnRhvHfhUw0ldU1httONbybw9rTrS2aAbi1dHBTLS2D5rZp/YfFvUnFihmyQ9ULVFNRl5Kk7N1JdOvqyW4T5JYyFvrLAgEArq6YZT+vGkfdXur9ysuys26Fvn3tRrk1o6StJw0K/DnQ1R+2ddGuhS9+jQjFsF1g906zum/QNvLF6t6ow8bckrmzJ4C4RDah7qlctq1yMXDhnjWTHaCC4Gm9WqivScmOdSTd8TBgOjahnqi3sfl80e8Xtqbs+avQxDILfdoYeqt+qBqi062HFZGQ6XajLiV2zO1Na88rjfXyfkulJVm1mgX9tQoE++9n0NBXwKKax+/4jO90VWHO9rOR/xfblyUntRAAAAAFjqCN4AAMCS1TjYrdFQdJXa7WXrdGmgK6Jt2XS8Pa1zXs+RzgbtKaye830m+7+6I1Oez3HOvcrm+qJaI3iTpCOd9Ss+ePMFA/rSyZc0HPTruSavHqzaqjvKPBHhad2kNqNrsgoTvr/NatW28T3G0hxOabwwqmt0SKUxfm9/WHdEzzZFBquf2na3Ubn4UNUWnelp1WBgVJXpuUbVz/cvHDL2l5usYbB7RsHb2d42/dPx5yPGasfbZt5Rtk6vt9ZN+XX154efjBpbDhVJblOrwn7/qD5z8LEp599QXKsPrblGkiLaHma7lv7HGo/VYtHugqqk3/f64lp94+wbcc9nOlK0La/COHbbHEa7z1dM+1hOMN/LYbUltToPAAAAABbC9DthAwAALJKLA11RY1tzy1SRnqOHqreqNDVLW/PKo+b4YrSUvBTjXjP16OVjCkyqOkqG8BTncl2pU+4nlqiteWURx32+kTgzV472kQENB6+0FfzxpaP6/f3/FzHnWFeT8frdq3bErW6bTnnalUqr1+NUY5rb50nSe2t3RrQLzXal6s92P6C/3ftOVZmqfMKSUe2WbndpsymI6J3hn+MP6g5HVM5ZLRatzhwLG20Wa9TX04bsYl1ftGrKexa7oysJlxqX1a40e+ItMfe1nDe+j/SaKt6SEYKvRPdXbo577uObbo0IPlNsV17/5NKxKe+7Jbds1l+TAAAAALBYCN4AAMCSZW5nl5+Srg+u3qNfXHedpLH2Zp/Z+Xb9+oab9L7aXRHX+WKEY/2mgKLYnRnzebeVro04/vDavbqhuNY4bhvu14H2yzP/QGbhI2uv1R9su0uf2fF2OeJUO82E3WrTh9fuNY5num/ectRr2ptrwlDAb+yv5gsGdKqnxTi3Jbcsan6ibixebbw+2HFZfZOeHQ6P7RM44U92vE23lnqi7mO1WOSw2iKCPLN7KjaoJPVK0PU/Z99IOAz2BQOq6+80jm8pWavf2XxHRCvTlEmtVD+wZs+Ue7hdW7TKqJhbyiwWiz6wercq03NV5M6I+5/NMvbPo7Bk7GPXbap4Ww7VfYvh7ooNynOlRY3fW7Exqv1nij2xpis3FNfqXau2J2V9AAAAALCQaDUJAACWpPbhgYjjddlFurFkdcy5t5Su1Z7Can3yte9LknyT2lOGwuGIoOnTO+5VOBxW42CPHrt8TKd7WrUhp0TvqtmhjpFBnepp0QNVW3Rt0SpdW7RKqXannm4Y24NtYh+vZAiFQwqGo+vdPrrueu3Mr0x6pUe6KUBZ6cGbLxiIu49X23C/SlKz9FzTGaP6q9idqUJ3xqyfV5Geo5qMPNX1dyoUDquuv9OoHguHw/rSyZci5pemTl0lti2/XDoTPb42q0hneiPbpp7obo5Z+TlZv3/UeJ3tdOt9q3dFzXFNCt5yXKlKi7FnoiT96/U/l5RQeKHsLKjUzoLKKef8xeEnjerYH108qgxHSsR+Y7kxwiWMtYT8w+1363de/2HE+OQgV5Jcpoq3eKyy6IOr98hCtRsAAACAZYjgDQAALDnenlY9djmyBZm58iwWc2AwGgzo+Sav7BabbiiuVfNQr8Kmho4TYUFNZr5+c9OtCoZDRqXLb2y8WYFQMGJPLXOVy2iMNpYz1T48oJdazhph3mTzsQ+TJKWaApST3c0609OqtdlF8/KsxdQ1OqhP7f9x3PNDAZ/C4bBebjlrjE0XyCSiLC3bqCjrGh00xl9tvaCjXY3GcWlq1rSBQorNoSJ3plonBb0umy2iDaUkdY4MKhGDgSvBW3qcKrZsUytFu8Uqm8Wq1BgtGjMcKcsqdEtUpjPFeP1m+6Wo87kz2E/vauOOEdDG2pswVhg3mdNmJ3QDAAAAsGwRvAEAgCWlZ3RI/3z8eQXCIWOsOiNPNRlTt7OzWayyW6zGdd89f1CS9M1z+1Welj3ttWaT3yx2WSNDPUkaDvj032fekCT9/NprIkKtqTx66S09dvl43PO/t/XOhO4zGxmOlIjjH1w8ok9tu3venrdYHo/x+5tqd2povMpvMOBTt29IHabA6q6y9XN+rrnVXufIlX3BJu/5dnvZuoTul+5wqnVSt0yXzaE1WZkqTElX28hYVWjnaGLB24Cp4i3efmdbcsu0I69C3b4hvWfVTklSjWkfugm/tuHGhJ653KzPLo7Y988s3e5SlotWk/GMhbQODQWu7KvojBm8OSYd2zUy6QcaJldeAgAAAMBywr9oAADAkvJq64WI0E1SwntIOW02BQKhqPGGwZ45rSmymm7sTeUf1h0xWtDVtOTp7vIN097HFwxMGbr99Z6HlD2PFTUFKekqdmca7TIn70O2UlwebxVotjGnxKhgGvCPqmmw1zhXm5mvFPv07e+mk2mqjBwyVZfVD1zZ2+39q3fr+qJVCd0vPyVd5/s6Isac1rFKoPurtuhr3lclJV7xZg7e4lW82axWfWxSqFaRnqMHq7box5feUrbTrT/afm9EZdhKckvpWhWkZKhtpN8Y6xwZVK9vWDcU10aF9Ih0fVGtnmk8LUlKsztj7ptYk5GvV1svGMe7Cqr0assFhUxVya4VWE0JAAAA4OpB8AYAAJaU55uiN7bKS3BfJafVriH5p5zz3trofa2mExG8je8f91LLOWPsqfpTCQVvx7tjV9JIUqYjZV5DN0myWCz6xObb9Af7fyRpbO+75aBpsFc/unhE2a5UPVy9Te5pQrLJlX0f9Vynfv+oEbw9UX8i4nzJNPutJcpc3eMb3zvuUMdlDQevfE5eW1iTcAu9LblleqPtYsSYyzb2jLwUU3VdghVv5laT8fZti+dtlZt0fXGt3DaHnCu4GslmsWpLXnRYhMS8a9UO3VyyRkMBv0pSM2N+rlxftEoum01NQ73Kcrh1bdEqvdl2yfjeKmlFf44BAAAAWPn4Fw0AAFgyhgO+iKocaazN4+6C6oSuT7O71DNFFVeOK3XaveJiMbdGO9bVpMB4qDJhMDCqv3/rWa3LLtI9FRtljROsHGi/HPcZH113/YzXNRs209qCyyB48wUD+uLJF9Ux3lYxy5mit1dujpgz6PfpuabTOtvbLqfNppahK/uivb1yk3YXVuuYaY81M4vGwrBkiBW8vdB0ZR+5VLtzRoHCppzSqLGJNqi5pjC6K4kVb1Mx73UIxFPgzpjyvM1q1TWTvubsVltk8Gbln6kAAAAAli/+RQMAAJaM0z2tEe3G7BarPrbhhoTb2m3Pr1Dj5Z64539jw81yzKKF2eT9hiZXTEmSt7dV3t5W5aeka09hdcz7XBrojBr7g213yW1zqjg1c8brmg2rqVVeKBzdlnOp+Vmj1wjdJOnZRq+OdTWpJDVLN5esUVV6rv73wsGofdQm3FyyRpJU7I79+/vuVTu0OqswKWt12EzBWzCgcDisRlOb03srNs7ofil2h7bnVRgtTctSs41zWU63bBarguGQBgKjGg0Gpt0Xa8DvM16nzSJ4A+bLhpxioyJVkjblliziagAAAABgbgjeAADAknGiu9l4vTWvXO+r3aWcGbRfvKlktR67fCz2ueLVqkjPmdW6ClLSI46n2qftra7GmMFbKBxW92hkNd7arELVZCS2f12yRFa8Lf3gbSJ0mjAY8Kmuv1N1/Z16tfWCtuaW6WicarbK9FyjSis/JV2bc0t1rCuy3eetpWuTtlZzlY4vFNS/nXxJA6b2jtcVzbyy7r21O5XpTJEvGNBtZR5j3GqxKMeVaoSSf3/sWf3+1jsjgtXJzK0m0+0Eb1g6PrL2Wl1TWK3BgE+5ztSkheEAAAAAsBgI3gAAwJJxprfNeH1H2boZhW7SWBXQnoJq7W+/GDFekJKuh6q3zXpdaQ6XrimsjtpvKxbfpDaUE5qHeiOCrrvK1xvVWAvJHMws9VaT4XBY7cP9U86JF7pJ0j2mffcsFot+Y8PN+t8Lh/Rck1eStKegasqgaqbM1ZTn+9ojzlktFqXOIuzKdqXq/at3xzxXkJJuBG8X+zt1oP1y3GpLae6tJoH5YrNatTmXvfUAAAAArAwEbwAAYEkIh8PqNLUUrEybXXXaO2u2qXN0QDaLVb+87gZ1jQ6qyJ0ht905p/W9r3a39rddUlhTh1Xmj8Hsq6f3Ga89WUV6Z832Oa1ntsz7z4WWePA2FPBpOOif9fXb8ysiji0Wi95Vs112q1VDAZ/eleQ/g6n2pVqbVRh377/Zur3Mo1M9Lcbxie6mKYM3c8VbmmNuXw8AAAAAACA2gjcAALAkvNp6QYHxijC3zaEUu2NW98l2per3tt5lHCe6P9x03HaHKtNzdGmga8p5DYM96hodVPNQr073tOrmkjWqH+hW01CvMef64lVJWdNs2JbRHm/tcULMXFeqwmGp2zdkjN1Ztl5ne1t1cfzPZ1NOacygy2a1zlvo6bTF3j+wICVdv7r+pqQ/b3NumT6+6Rb98/EXJElNQ31x5/qCAbWYztNqEgAAAACA+UHwBgAAFl04HNY3zr5hHFuSXBmULGuzCiOCtxxnqqoycnWksyFi3otNZ/Vsk1f+UFDn+9rVbArdJGlTzuK1VLNaLLJICo//FwqHk16JlQxne9v0t2/9zDjemleuu8rWaTDg08acEgXCIf3Wq49IGmsZ+a5V29U+PKC/PPKU/KGA7q3YuOBrdlpjB2+3lK6Ve5ZB8nQq0nKN161DfTH/PHt9w/rswccj2qDSahIAAAAAgPlB8AYAABZd5+hgxHEgzj5pi21NVqGeaTxtHH9wzR5VpucoEArpeHeTMf5kw0nj9fm+joh7/O6WOxe9zZ/VYjX2mwuFQ7JaYgdGi6VxsEd/f+zZiLGS1Eytzio0ju2y6Z+ufbcah3pUnZEnSSpwp+sL1zwkfyg0b0HXVNIdLuW50qI+n23zGGxmOFxKs7s0GBjVaCig7tEh5aWkaTQYUMNgt/JT0vX45eMaDPiMa6wWi1JsC//7AwAAAADA1YDgDQAALKpgKKS/OPxUxJjV1A5xKVljCn4kyWWzK9Pp1m9uukW9vmH93hv/N+X11xat0uqsgvlcYkKsFouC49u7LcV93r586pWodd1W6omal2J3qDYz8vfTbrXJHqfybL5ZLVb91qZbtb/9oh67fNwYn8+Qy2KxqCQ1U+f62iVJzUO9ah7q1X+cfkWjwYBcNrtck/aeW5dVtGSrSgEAAAAAWO4I3gAAwKJ69PIxDQZGI8bWZxcv0mqmlmp3qjI9V5cHumS3WFWSmmmcy3K6p72+2J0xn8tLmM1ikX/8dXCJBW/HuhrVOhy5V9lvbLg5od/fpaAoNVP3V21RtjNV3zy3X7muVO3Mr5zXZxabgrfvnT+gNtPeeKPBgEaDgYj571q1Y17XAwAAAADA1YzgDQAALKon6k9EHNstVr1nCQcDH113nZ5r9GpDTonSHSkR51ZnFhgBSCzZztT5Xl5CzBWFofGWkwthJODXgY7LqkzPUWV6btT57tEh/euJFyPGvnDNw8smdDO7sWS1NuWWKt3hkmOeK/BKUrOM1+bQLZZ31WxXWVr2vK4HAAAAAICrGcEbAABYMjxZRfqtTbfKZl2arSYlqcidqfet3h3z3MPV2/Q3bz0T99qlEiCZ9xxLZsXboH9UwXBImXE+zkfqDumVlvOSpM/tuk9F7ky91dmob53br1UZ+TrUWR8x/7c3375kfs9mI8e1MEHrzvxKPXrpmEaC/innZTndurN8/YKsCQAAAACAqxXBGwAAWDThcFhWi8XYz+tj629Y0qHbdFZnFeizO+/Tnx1+Qv5QMOp8fkr6IqwqmrniLTiHirdwOKzHLx/XoY567civ0JMNJxUIhfSJzbdqXYx2oROhmyT907Hn9Rd7HtRjl4+pxzccFbr9oudaebKLZr22q0mOK1V/vechNQx2G2M/vHhE5/s6Iub9/JprFnppAAAAAABcdQjeAADAogmEQ0boZrdYleZwLfKK5q44NVOf23Wfnms8o9WZ+frehYPqGh3SrvxKFbiXSvB2peItNMuKt8Md9fr3Uy8bx42Xe4zX379wWJ/ecW/E/AF/5D5+naOD+p3XfqCBSfv7TdiVXzWrdV2tUuwOrc4qNI5XZeRHBW8bc0oWelkAAAAAAFx1CN4AAMCiGQ5caY2XYnMs4kqSK9eVpnet2i5JWpNVpJbhXtVk5C/yqq6wRQRvM6946/UNR4Ruk9WbKq8mNA72RI3FC93uKl+/rCsflwKnNfJ/868vqpXF9OcOAAAAAADmB8EbAABImpGgXw6LLeHQxLwnVYp95QRvZmkOp2odBYu9jAi2iFaTM694e6n57LRzQuGQLLLozfZLahzs0ZMNJxO699qsQt1W6pnxmhDJabNFHD9cvXWRVgIAAAAAwNWF4A0AACTFm+2X9NXT+5Rmd+r3tt6l4tTMaa+JrHjjf0sWylz3eDvV0zLtnM8e/KlqM/O1r/VC1LnClHS1jQxEjV9ftEo/v3bvjNeDaA5rZPDmXqHBNgAAAAAASw09fAAAwJwEQyH9l/c1ffX0PknSYMBnvJ5O9+ig8TrL6Z6X9SGaudXkF44+PeN2k6sSaJvZMtwXM3STpAeqtkxaj1W/t/VOfXDNnhmtA/HZLZHBm31SEAcAAAAAAOYHwRsAAEiYLxhQ23B/xNizTV693lYXMVY/2K0RUzVbPB2m4C0/JT05i8S0Mh0pxuuRYEB1/Z1x53aPDulbZ/frk689oh/UHVYoHFJgFlVyZlvzyvWQqfXhh9fuVW1mQUQlHuZmQ06JrBoLWDfnli7yagAAAAAAuHrQ0wkAACRkOODXnx1+Qh0jA3pHzTbdXb5BknSksz7m/M8d+qk+v+v+Kfd7axrsNV4XELwtmPurtuikqV1k18igajOj96GrH+jWnx1+wjh+uuGUvD2tSne4jLHNuaU61tUkSdqZX6mDHZenfPatpWvltNl1b8VG3Vuxca4fCuIocKfr87vvV8NgjzbmlCz2cgAAAAAAuGoQvAEAgIQ803hKHeP7cv2w7ojuLt+gkYA/brVU5+igDnZc1p7CamOse3RI/+l9VXaLVb+y/gZd6O8wzlVl5M3r+nHFqsx83Vbq0XNNXklSl28oak7LUJ8eu3wsavzSQFfE8c78Sm3Pq5A/FNSNxavVOTKgi5PmuKx2/fL66zUaDGh7fkUSPxJMJT8lnUpSAAAAAAAWGMEbAACYVutQnx6/fDxq/Gxfm0LhsHF8e6lHz46HOZL0RP2JiODt+xcO6UxvmyTpE6993xi3WiyqTs+dh5UjnlxXqvG6ayQyeHvs0jE9GiN0i8Vls2tHfqVx/KsbbtIf7P9RxJxsV6o255bNfrEAAAAAAADLBBtpAACAKYXDYf39sWdjjp/tbTeO7yhbp/fU7oyYMzxpn7cDcdoQVqTlyGnj54EWUq4rzXjdPb7XXsfIgP6v7kjCoZskOay2iOMcV6q2TgrZit0Zc1gpAAAAAADA8kHwBgAAptQ63Kce33DU+FDAr9bhPuO4arxi7ZaStcZYt29IF/s7FQgFjTaVsdRm5idxxUhEboqp4m10SHV9HfrMgcf0ZMPJGd3HaY0OTCe3kyxPy5ndIgEAAAAAAJYZfrQcAABMqWmoN+b4D+oOq3W43zgucI/tJbWnsEovNJ8xxv/yyFPTPqM4NWuOq8RMmSveukYH9XTDKQXCobjzi92ZurN8vf7n7BsR464YlYrXFFarzz+iU90tSrU7dUvp2qg5AAAAAAAAKxHBGwAAmFLbcOxKtX2t543XNotVxe6x8KwmI09pdqcGA76En5HpSJnbIjFjGY4U2SxWBcMhDQZ8OtRZH3duiTtTf7rrPrWZglZJSrO7VJaWHTXfarHq7vINurt8Q7KXDQAAAAAAsKQRvAEAgCm1j/RPO2dXQaXcdoeksdDlb/e+Q49fPq7HLh9P6BkZBG8LzmqxKMeVGtUC1G6x6u2VmxUIBxUKh3Wiu1kPVm2RJOWnpEfMvalkddQebwAAAAAAAFczgjcAABCl1zespsFerckqiKpyiuW2Uk/EsdVi1b0VG3Wiu1l1/Z3TXp/hdM16rZi9jTklerH5bMTY1rxyva1yo3H8UPVW47XVYtF9lZv02OXjynOl6c6y9Qu2VgAAAAAAgOWA4A0AAEQYDvj1pwcf01DAH3Xugaot+smlt6LGqzPyosbsVpv+YNvdah/u16cPPBr3eZ6sIhW5M+e2aMzKu2q2a01Wofp8w5LGWkduyyuf8pr7KjdrV0GVcpypShmvcgQAAAAAAMAYgjcAABDhVE9zzNCtOj1X91Zs1EvNZ9UzHtRI0i95rpvyfgXujJjjDqtN2/PK9Uvrrp/bgjFrTptduwuqZnSNxWJRSWrWPK0IAAAAAABgebMu9gIAAMDS4QsG9OVTr8Q89xHPdbJaLLq5ZG3EeGV67rT33VtYHXG8KiNf/3zdewjdAAAAAAAAsKJQ8QYAwBLR6xtWhiNFVotlUZ5f19+hvzrydMxzd5StU3HqWDvILGdKxLlcV+q09/75NXu1KbdMzzedUefIgO6p2LBoHycAAAAAAAAwXwjeAABYAr5/4ZCeaTytEnemfmfLHcqYFG4thCcun4h77p0124zX67KLZZVFIYW1NbdMTtv0/zths1q1u6BKuwuqFA6HZSF0AwAAAAAAwApEq0kAAJaA55rOSJKah/v0ZvuliHM/rDuivz36M13q75q3548E/TrR3Rzz3J1l62S1XPlfhryUNH1sw426u3yD3r9694yfRegGAAAAAACAlYqKNwAAFlkgFFQwHDKOR4J+4/Wp7hY91XBSkvRvJ1/UX1/zcNKf3z48oH8+8bwC42socmfqfbW75AsF5LDa5MkuirpmW165tuWVJ30tAAAAAAAAwHJG8AYAwCIbDPgijkeDAeP14c5643WPb3henv817z61Dfcbx7sLKrU+p3hengUAAAAAAACsZARvWBFOdjfrB3WHVZWeq/fW7lLjYI8K3BlKd7gWe2kAMK2u0cGI4+HxirfHLx/Ti81n5/XZ4XBYdf2dxnGRO1O3lKyd12cCAAAAAAAAKxXBG1aEn1x6Sw2DPWoY7NG+1guSpFxXqj69/V6lEb4BS9KLTWfVNNSjt1duUqbTvdjLWVQnuiL3VhsOjAVvP7l0bF6fOxLwR+0n99mdb2cPNgAAAAAAAGCWCN6wIpirNSZ0jQ7pheazenvlpkVYEYBYQuGQvnl2vxGQS9ILzWf1Gxtu1tqsQqXYHYu4usVzebA74nh/+0W9s2bbvD7zQl+H/vH4cxFtLSURugEAAAAAAABzYF3sBQDz6SeX3tLPGk8v9jIAjDvW1RQRuk344skX9XfHfqZwOLwIq1p85v3VJvyn97V5e1736JC+fe7NqNANAAAAAAAAwNwQvGHZm+6N+kcuHFLrcN8CrQbAVA60X4577vJAtxoGexZuMYuseahXB9sva9DvU/NQb9T5s71t8/Lck93N+sP9P1b9pCo7Sbq3YuO8PBMAAAAAAAC4WtBqEsuePxScdk5df6eK3JkLsBoA8ZzpbYvaT2yyywNdqkjPWaAVzb8jHfV6ouGkqtJztT2vQp7sQlktVvX6hvXnh5+c8vtXSNE/VJCRhD0rD3fUx7x3jitVD1ZtmfP9AQAAAAAAgKsZwRuWvZEEWqU9WX9SO/Iq5LTxKQ8slv8+85rCMQIfs4HA6AKtZv6Fw2F969yb6vOP6GJ/p15sPqvNuaX6jQ0363BHfUI/NDBZIBSa87peaTkfNVaTkaePrrue/d0AAAAAAACAOaLVJJa9zpGBaec0D/Xq9ba6BVgNgFgG/T51jAwax0XuDN1UvFq/telWpZgC8UG/bzGWNy86RwfV5x+JGDvW1aQ32y9pME7AmGZ3TnnPQHhuwVvnyGBUtVuKzaHf3ny78lPS53RvAAAAAAAAAARvWOaGA37999k3Epr7YvPZeV4NgHgeqTsUcfy5XffrA2v2aENOid5Zs90YH/CvnIq3lqHYe0v+oO6wGgej93STpKqMvKixDdnFxuvgHCveTve0RBxvyyvXJzffRjUwAAAAAAAAkCQEb1jWXmo5q+ah2G9gT5ZHNQewaA5Msbdbumnfsq7Rwbjzlpt+U7WbJ6tImY4USVKPb1gHOy7HvObdphBywq6CKuN1SGGF5lD1NrnR54fX7lV1jLAPAAAAAAAAwOwQvGFZO9vblvBcu4VPd2CxFKZkGK+35ZVHnKtMzzVen+1tU/fo0IKtaz71m6r3ytOytbeoJua820s9urNsvf589wMqTcvWA1WbjXNpdpd25FdGfP8KhqfeJ2+yrtFBo5JwwBQGZjpS5J6mtSUAAAAAAACAmaG3FJa1pjjt2j7quU5f9b4aMTYa9C/EkgDEkOa4EvDcUrI24lx+SrqqM/J0sb9TgXBIj18+rg+u2bPQS0w6c8VbhjNFTqstak6mI0XvWrVDVovFGHt75WbtzK/Ukc5GbcwpkdvukM1qVSA4Vun2cvM5XV9cK1cC7SFPdbfon44/L5vFoj/Z8baIPefuKF83lw8PAAAAAAAAQAyUAGHZCoZC6jJVxtxe5lFJapZ+Y8PN2pFfGbFvlCQNBwMLvUQA43yhoPE6VmD0YNUW4/W+lvNqHx5YkHXNl8Md9Xq64ZRxnOlIMVpNmu0tqokI3SYUp2bpnooNqkjPkRRZsfu9Cwf1g7rDCa3jH48/p7DCCoRD+s75A+r3RVa8AQAAAAAAAEiueal483g8H5b0X5Ju9Hq9r8Q4v1bSZyXdIClP0jlJX5H0Ra/XG7V5jcfjKZX0GUl3SiqRVC/pfyR9wev1jk6ej6tD5+igwuM7FmU53XrPqp0R5+8qX6912UX688NPSqLiDVhMPlPwHSt4W59drLVZhTrT26aQwjrZ06yb3WsWcolJ0zrUpy+fejlirDg1M6pFZIrNoQdMgeNU0h0uDQZ8xvGLzWf1vtpdssQI7SacmdSKt36g2wjyJCmD4A0AAAAAAABIuqRXvHk8nmsl/csU57dKelPSeyVdkvSkpApJ/yzpGzHml0t6Q9KvSOqR9LikDEmfk/Skx+NxJPcjwHJxob/DeF2amhVzjtt2pb2d+U1rAPOvdajPqLDyha4Eb7FaLlosFq3NKjKOO0aWb8Xb2b42Td6FrSQ1S2WTvk99atvdcsT4vYglLyU9amzAP/XPnRzvaoqcHxjVqZ4W4zjTSfAGAAAAAAAAJFtSgzePx/NOSU9Jin6HcOy8RWPhWqakD3m93hu8Xu87JK2V9JakD4zfw+zfJJVL+mOv17vD6/W+S9JqST+TdIukjyfzY8DSFQ6H9UrLef2n91Wd6m7Rs41e41xtZkHMa7JMbyz3+UYUCk9+OxzzIRwO61J/lwb8IwqFQxrwjyrM7/1VZX/bRf3Jwcf06QOPqn14QKPBK60mnXH2JiswhUv1A93zvsb50jM6HDWWancqzeFSRdpYxVmGw6W8lLSE75nvip47PE0V78g056l4AwAAAAAAAJIvKa0mx6vS/kLShyQNSWqVVBRj6p2Stkh6wev1fnNi0Ov1tns8nl+TtE9jQdoPxu/rkXSfpPPj95+YP+jxeH5J0gVJvynp75LxcWBpO9BxWf9z9g1J0httF41xh9WmG4prY17jtNmVandoKOBXMBzSoH9UGVR5zLsn6k/qx5eOymWzK8vpVttwv24pWav3rd612EvDAnn88nFJY+HPXx99Sv2m6iynNfZfPTWZecbr0z0t6veNLMuv127fUMTxxpwS4/VH112nV1vrtDWvLOFqN0m6vWydDnRc0lDgSpg2XbDWNtwf91x+Spqyne6Enw8AAAAAAAAgMcmqePszjYVuByTtlXQ6zrx7xn/90eQTXq/3VUltkm7weDwZ48N3S7JIenTy3m9er/eypEOSqjwez4a5fgBY2gKhoL577kDMc7eWrlWOKzXutVmOK28u9/lHkr42RPvxpaOSpNFgwHjz/4XmM2oc7FnEVWEhtQz3Ga/NoVuKzSGXLXbgVOTO1Orx6tWwovcoWy6GA5GBmHkft+LULL2jZlvcKt14ilMz9bmd98tuufLX9ohp37xYmod6jdeT2/Fuz6uccn84AAAAAAAAALOTrODttKRfkHSN1+s9NsW8jeO/Ho9z3ju+pokgbbr5EwHf5gTXiWUoGA7p6YbTGgjE3s/onvKpc9cU+5VtAKerEMHchMJh1Zn23pvs8kDXAq4GiyUYCsUct1ms+sjavbJa4v/VU2IKiOJ9zS915u8z/9/Gm1WdkTfF7MRlOFPkyb5STN45xT54wwGfenxjLS/tFqv+cPs9Eee355cnZU0AAAAAAAAAIiWl1aTX6/2rBKdO9NtqjnN+YnzincWZzscCGw0G9Oilt3RpHgOVC30dCoRjv5Gf40pVmsM15fXmtnY+0z5TmJtwOGxUzPiCAR3suKwf1B2OqG6arHlorArqlZZzer31ou6uWK/NuWULsl4snOPdTTHH9xbWaFt+xZTXOk3VcL5pKrqWKnPFm9vmTOq9zfvHff3M69qZXxmxZ95bnY36af1xpZu+Lxa5M+Ww2vRA1WY9eumYtuaVa1VGflLXBQAAAAAAAGBMUoK3GUgb/3UozvmJdxTTZzk/Lo/H82FJH55u3rhtCc676h1ov6RnGuN1Fp0fqzLydWG8quoDq3dPO99lelN6NLQ838hfav73/EG92npB91Vt1h1l6/SDusN6ofnstNc1DHbrp5dPGK0oz55o01/veUjZU7QKxfLhDwX1UvNZvdZaF/N8fkpazHGzFKu5QnV5fr2aK97cporbZOgYjaxy+81X/1cbckr0/trdKnCn63sXDqpjUiVcSWqmJOntlZt1R9n6iO+JAAAAAAAAAJJrod99myg3Ck8zb6IP2UznT6Va0s0JzMMMlKflyG6xxq1Imw8f8VyrwcCowmFpVeb0VRvmN5mXawXNUtI1Oqhnm7ySpEcuHNLW3LK4oVu2063bSj364cUjkqQT3c060R1ZwPr7+3+kX99wk7bm0fpuufv2uTf1auuFuOen2otxgrl6a3QZfL0O+Ed1qKNenqxCdfuG1DEyoF7flaq0FFtyg7d31mzXt8+9GTF2srtZf3HkCf3+1ruiQjcpsn0noRsAAAAAAAAwvxb6HbjB8V/dcc5PjE+8czjT+VO5KOnFBOZJYxVvWdNNglSVkau/2vOQmoZ65+0Zhzvr9XzTGUnSu1ftUKE7Q1JGwtebW00uhzfyl7ovn3ol4vjTBx6NOW9DdrF+a/NtCoXDevzy8SmrDb/mfVX/fN17krpOLKzzfe1Thm6SlO2cPngzB0PPNJ5Sqt2pt1VunOKKxTMc8OvPDz+hrtF4RdlSqj25rSZvKK5V81Cv8T1xwlDAr5dazsW8Zk1WYVLXAAAAAAAAACC+hQ7emjQWahVLitWfcPKebhMbBRXHud90e8AZvF7v1yV9PYE1yuPxvCCq4xKW4UyRx5kyb/dfm1WoTTmlkqRNuaUzvt68ZxStJmcvFA7pWFeTLvZ3JjT/l9ZdL0myWiwqT8/W+b6OuHNHgwG1Dw+owD1t11gsMd2jQ3LZ7HrkwqGoczcVr44Ig3Jc8X6G4oqUSRVZP750VHsKq5SfsvQ+N15vq5sydCtyZya91aTNYtV7a3fp1tK1+tMDjytkKgi/1B97r821BG8AAAAAAADAgkmkRWMyHR//dcPkEx6PxyJpncbaS56cbv649eO/HkvWArH0WCwWbcotnVXoJkkuK60mk+E/Tu3Tv518KaG57161Q+kOl3FckZY77TV/+9YzCoWn6yqLpWRfy3l9av+P9MnXvq+6SYFseVq23jdpD8ZEKt7MFaoTzva2zW2h82Rfy/kpz99YXDtvzy5yZ+o3N92iQlMgea6vPWreb226VRaLZd7WAQAAAAAAACDSQgdvT47/+lCMc9dJKpD0itfr7Z80/36PxxOxVo/HUylpu6RLXq/3pIA4zHtGjQQDCi3gfnQrRfNQrw531ic0N9eVqptL1kSMVabnTHtdj29YBzsuz2p9WHjhcFjfOPtGzA04t+WV69c23CSrxaI7y9bJorHqt5QEqr/Mge2EAf/o3BecZI2DPaof7I57/tPb79UdZevmdQ0bckr0ntqdMc/ZLVb98rrrtT47XsE4AAAAAAAAgPmw0K0mX5R0QtKdHo/nl71e71ckyePxFEj6t/E5fzcx2ev11nk8nicl3SPpc5I+PT4/TdJXJdnM84FYzHtGPdVwUm+01em3t9yuInfmIq5qeTna2TjtnOr0XGW5UvXeVTvlsNoizlXECN5cNnvUnnsnu5u1u6BqbovFguj3j8Qcv7F4tT64Zo9x/K5VO3Rf5eaEQjdJyktJixobDPhmt8h59Gb7pYhjm8Wqd9Vsl9NmkyereMHaptZk5Mccf3vlZu3iawkAAAAAAABYcAsavHm93pDH4/lFSc9K+g+Px/NLGtvH7RZJOZK+4vV6H5102W9I2ifpjzwez4OSvBqrjiuR9ISkLy3Q8rFMTW5d1+Mb1jfOvKHf3XrnIq1o+Tna2WC83pRTqjvK1ulsb5serz9ujH9i8+1x97MqTc2KON6UU6J3r9qpr3n36fLAlaqhpVjZhGgNg936/KEnYp5LtTujxhIN3SQpJ0Y7ysEl8nkRCof1j8eek7e3NWL8A6v3aE9hlVJsyd3PLRHpDpfuKd+gJxsiC7835pTEuQIAAAAAAADAfFroijd5vd79Ho/nGo1VsN0qaZOks5I+pbEqtsnzL3g8nj3j8++VtFrSBUn/LOkfvV4vm3ZhSi6bLWos1l5IiOQPBdU23K/vnT+oC/0dkiSLLPqI51qlO1waCFwJQ9LszrihmyTZrTbdWbZOzzSeltNq08+v3assp1u/sHav/vLwUwqMt/8cDCyNgAVTe7bRG/fcXMNTmzW6A/LAEvm8eKrhZFToJknrs4sXJXSb8FD1Vnmyi9Q+PCBJWpWZH7PKFAAAAAAAAMD8m5fgzev13jLN+ZOS3jWD+9VL+sgcl4Wr1OSKN0xvf9tFfc37atT46swCYw+uHfkV2ltYrYMd9Xpb5aZp7/lQ9VatySpUcWqmspxuSVJ5Wo7+aPs9+uyhn0qSGgZ69I/HnpNFksNq096iGm3Lq5DVYkneB4c56x4dinuuOiN3zvdPtTs0FPAbx4P++W01GQ6HZUngc+zApPaS0tjedQvVVjIei8WiDTklY3XjAAAAAAAAABYViQRWPPMeb0jMIxcOxRzfmldmvLZZrPqI5zr9/NqQbJboKqXJ7FabtuaVR41PBHmSNBoK6FRPi3F8tKtR76/drZtL18xk+Zhn5qq2T227W5L076deVq4rTXsLa+Z8/wyHOzJ4m8eKt2Ndjfr2uTeV6UjRJzffHrct5oB/RA2DPcbxz6+5RrsLquTk+wsAAAAAAAAAE94xxIpHxdv0guGQXm+t09m+dhWkpKnPPxI1x2m1aWdBZdR4IqHbVDIcKVqbVagzvW0xz3/7/JtqHOrRg1VbleaI3j8MC28wos2oSwXudP3l7gcTqhpLRKYjRa3DfcbxfOz95wsG9L0LB/VKy3lJUtfokF5rq9OtpWtjzn+j7aLxelVGvq4vrk36mgAAAAAAAAAsfyQSWPHiVby92X5JuwuqFng1S9MP647oZ42nY577zY23qHNkUGuyCpXrSkv6sy0Wiz6x+TZd6OuQPxSUJJ3pbdMT9SeMOS82n5Xb5tDDNduS/nzMzHDAry5Tq8n08TA0WaGbJGU4XRHHg4Hkt5p8quGUEbpN+O75A8pxurUtvyJivGNkQP9rqgK9tmhV0tcDAAAAAAAAYGWYW6kKsAxkOlNijn/19D51jgwu8GqWptOm9o5md5at16bcUt1cukalaVnz9nybxao1WYXakFOiDTkleqh6q1yTKhWfbDipcDg8b2tAYo53NRqvc12pSrHFbs04F/dVbo449oeCOtHdlNRnmCvqzJ5vPhNx/HLzOf3Rmz+JGNuZH135CQAAAAAAAAASwRuuAllOtx6u3qr8lPSoc6fiBE4TLg906aeXT2hfy3l1ja7ckK5jZCBqrCItR3eWr1uE1Yx5R4zqtnjtKLEwWob69J9nXjOOt+WVJ7XSbUJZWrZ+fcNNEWOPnD+U1OB1OE4V3emeVv3Wq4/ov7yv6lJ/l755bn/UHFqeAgAAAAAAAIiH4A1XhXsqNurPdz+gP9t1f8R442BP3GuGAj79/VvP6seXjuobZ9/QXxx+UkPz0PJusdUPdGskGIgYK0hJ1+9tvVNZTvcirUraXVClktTIKru6/o5FWg3C4bC+ePJFhUzhV1la9rw9b2teuf7mmoflsNokSc3Dfaof7E7a/YeDfuP1w9VbI86NBP16ve2i/uLIk0l7HgAAAAAAAICrA8EbrioF7gx91HOdcdxt2qtqsnO97RFvzvf7R/Vm26V5XV+yhMNhvdR8Vk81nNRwwD/l3COd9cbrVLtD91du1ic33y5nnL3xFkqaw6XP7HibPrh6jzF2pLNBzzed0fNNZ/R6W920HxuS53RPq9qG+yPGVmcWzOszM51u5bpSjeM/P/zkrNvDXujr0L6W8+r1DWsk6Nel/i7j3KbcUmUvYsgMAAAAAAAAYOVY3HfWgUWQ40ozXndP0T6yIUZ1TdtIf4yZS89bXY361rk3JUkvNp3Vp7bdrYw4e901mKr+3lG9XTeWrF6IJSbEYrGoIj3HOK7r71Rdf6dxvDGnRB/fdOtiLO2q80b7xYjjnfmVKk6dv33/JlSk5ajVFPh9v+6QPrb+xhndo2NkQH9z9BmFFLtVpdvmVHlatnp8w9Pe69rCmhk9GwAAAAAAAMDVhYo3XHWyTAFUv39UkuQPBfWji0f1g7rD8o23XYxVDfezxtM61tW4MAudg3N97cbrztFB/b83fqhgKBQ170xvm450NhjH1Rl5C7K+mShLy1amI3ZoeKqnJan7fiG2I50Neq31gnH8YNVW/fK66xfk2beVeSKOD3XU66un983oHmd62+KGbtJYpeeewuop75Gfkq6bilfrgaotM3o2AAAAAAAAgKsLwRuuOi5TC8XR8ZDtjbY6PVF/Qk83nNIPLx6RJHX7Yreh/NLJl9XnG5n2OU2Dvfr6mdd11BRsLZTJLQEl6WhX5Drahwf0D8eeNY6tsqg4NXPe1zZTDqtNH990q+4sW6ebS9bo5pI1slvGvnWFwmH9tP64/KHggq0nEArq2+fe1CdefURfPb1PoXB0oLmS1A9060snX4oY25lfIYvFsiDPr80s0Bev/znlmSpV32y/NGWb2MkGxgP2eNx2p3YXVGlbXrnyU9L0kbXXKsPhiphzT/kGfWDNHuWmpMW5CwAAAAAAAAAQvOEqZN67bDQ0FryZq76ebzojSeqN03YuGA6pfZqWk0MBnz576HG91npB/3byJb3cfE7BBQxoumK00Dzb2xZxfKyrUSFTtdim3FI5rLZ5X9tsVKTn6F2rduj9q3fr/at3K90Uivzk0jH9f/u+N6MgZi6+evpVvdh8VsNBv95sv6Qzk35fV5rJnzeSlGPad20h2K02PVgdWWl23lTVOZ2eKT433lWzXZJktVj1axtu0p/vflB7i2r07lU7IualTQriAAAAAAAAACAW9njDVcdpvfJp7w8FFQqH1TzUFzVv0O8zXq/PLtapnhbjeKJSThoL4jpHBlXozpAkNQ/16q+OPBVxr2+e26+XW87p97feJZt1/vPuWBV5zzWd0dsqNhl7vZn3syp2Z+oXPdfN+7qSJdvpjtqP69FLb+nn1+6d1+e+2X5JhzvrI8YWKvBbaM1DvTrQfllnelsjxm8uWRMRXi+UawprdLD9so6Ot3o93dOqLKc7oWvfbL8U91xeSnrM8bK07IjjNLszsYUCAAAAAAAAuKoRvOGqY7VY5LDajPaEx7oa1TEyEDEnGA5pOHglePuFtXv1B/t/ZBz7xq891FGvL596WZJ0V/l63V2+QX968PGYz7000KXz/R1am1WYzA8nSjgcjgqlJvy/N36o+yo36/6qzer3Xwnn7ihbJ7fdMa/rSqaqjDxdHOiKGNvXekGtw/36jY03K3WeQpJHLx2LGjvV06Jri1bNy/MWSygc0r+eeDHq6+JX1t2gnQWVi7QqaUNOiRG8vdxyTi+3nJvzPXPjVO9lTNpXMM1B8AYAAAAAAABgerSaxFXJZap6+7+LR6POD/p9Gg74jeMsZ4p2F1QZx77xireJ0E2Snm44pVemCQLaY+y9lmwTwUQ8j10+pn7fSERV3EQV3HLxQNUWPVC1OeLPRJLO9bXrqfqT8/LMoYBPrcPRlZFvtF3UzxpPK2xq27nc1Q/0RIVukuTJLlqE1VxRmZ4753v80qTKzvw4e7alT2otmWJbPsE0AAAAAAAAgMVDxRuuSi6bXQOBUUljLfUm6xod1ESMkmJzyGqxymna/8wXChjhm1msEG93QZXR6q49RpiRTC1DffrSyZeM4wyHS7sLqvTc+L51Ez594CfKcV0JHDIdyyt4S3e49PbKzZLGqqD++8zrxrknG07qgeotslnm/nMFwVBIjUM9Kk3Nitm+c8IjFw6pNjNfNRn5c37mUnBpoDNqLMVmjwqjFtqqzHy9o3qbjnU1KazEgs5AOKSL/WMfT4rNoe35Fbp9wKNnG73aU1Cl9Dif+zaLVeVp2WoY7FGW060c58LuawcAAAAAAABgeSJ4w1Vpuj2qzvS2Ga9Tx1swOkxVcqPBgP7NFHDF8+nt9+pcX7sRvA0FfNNckbhDHfU63FGvAne6itwZWptVpC8cfTpizgNVW3RTyZqo4G0kGIgIHCe31VtO9hZW68n6E2o1VRP+95nX9eG1e2WdQ/gWDof1j8ef05neNm3NLdOd5euNc1aLRaFJFW5vtl1aMcFbrD0PFzt0m3B3xQbdXbFhRtd4e1r1fNMZ7S2slsNq03tW7dR9lZunbUn60XXX6/XWOm3LL1+QvRkBAAAAAAAALH8Eb7gq1Wbmx6x0m/Bqy3nj9UQo5TKFdc80nlb36FDc69dlF+kTm26TxWJR42CPMW5uXzkXPaND+urpfQqGQ3HnWDRWDSZJhSnpapui2i5zmbWaNLNarPrMjrfr1/d91xh7o+2iKtJyIsKymer3jxoB7NGuRuWY9gLbklumzbml+p+z+42xZ5u8ek/tzlk/b6nwBQPa33YxarxjZHDhF5MknuyiqDaZiewDWJKapYdrts3TqgAAAAAAAACsRPwIP65K7161Qw9Xb4sYu6l4tfG62bSX10QoZW41OVXoJkm/5LleFotFkpRiv7I31HAwORVvRzobpgzdJOn/23iL8lPSJUm/sv5G2aeo/nJNUwG41NmsVv3Vnocixl5vq5v1/cLhsI5N2ivvheazxuvS1CzdULw64nNGUlQV3HL0X2deM9qwmpWmZi3CagAAAAAAAABgeSF4w1UpxebQPRUb9Ptb79IdZev0wdV79HO1O5Vuj26nN7H/WXVGXsL3N1eQuW1XgreRQPS+cDNVP9Ct75w/EPd8dUaevnzj+7Upt9QYq0jP0Z/vfiDm/E3jVXHLXY4rVX+550HjuGGwRw2D3bO611dO79M3zr4R81yW0607ytZJkq4rXhVxbjTGvn/LSa9vWIc66o3jLbllShv/mpj4mAEAAAAAAAAA8S3vMhdgjlZl5mtV5pV9uTblluj1SW32JqrGNuaU6FfX36i6/k4NBXy60NehDKdLb6/YpG+e22/sMbYtrzzierep4m0k6FcoHJZ1vBpuKhf7O/WDusNalZmvB6u2Gtf874WDca+pzsjTL6+7Pua5bFeqPrb+Bn351CuSpB15FdqSV6atk9a7nOW60lSTkae6/k5J0ume1qj961LtTjlM1YuTDfhHdbDjctzz1xbVKG18v7PJe7qNBP0Rf97zIRwOq66/U5nOFONzM1nO9bYbrwtT0vXrG27SYGBUg36filIzk/osAAAAAAAAAFiJCN4AkxuLV+uNtouaaBjoySrSTSVj7QQtFou251doe35F1HWf2fl2nexu1nDAH3U+xVTxVj/YrU++9ojWZBXq1zfcHDeAC4fD+u8zr6tpqFdnetv0ZP1J/d7WO1WZnqsLfR0xr7m3YqMerNpitLiMZVtehd5Rs03DAb/uqdgQsbaVYl12sRG8PXLhkB65cChqzm9uvCWiItCsfTxAjSfXlRZxXOjOUNv4NSPB5OzhN5UXms/ou+cPymWz61Pb7lZJEltAnutrM17vLKiSxWJRuiNF6Y7luwcgAAAAAAAAACwkgjfAZHVWoT678z41DvUoz5WuyvScKYOsCTaLVZtzy2Key3WlKsXmMEKZkWBAx7qaVNffodrMgpjX/M1bP1PTUG/E2BeOPqOPrb9RAdPebsXuTG3MLdGDVVsT2qfNarHo7vIN085bzhLZi+xfTrygv9v7jpiB0l8dfdp4vTW3TBcHutTrGzbGKtJyIuanmH7fFyJ4e6n5nKSxtpZfObVPf7LzbUm797m+KxVvq+N8bgIAAAAAAAAA4mOPN2CSotRM7civVFVGbkKh23TsVps2xthH7VhXU8z5P754VOdNAYjZl0+9bLy+rXStPrvrPr1n1c6EQrerxY78Cu3Kr1SmIyXiv8nMe5lNGPT7Io5T7U69q2a7cZzhSFHNpL3+UpK8h990zIFs41BP0u7b6xtW/cDYnngWWVSbmT/NFQAAAAAAAACAyXi3HlgA67KLo/YNe6L+hO4qX69Uu9MY6x4d0k/rTyR0zw0xwjyMBZ2/vP6GmOd+7eXvKDTeSPRoZ4NuKlkTcb7fPxJxvD2/QlvzypWXkqZe37C25ZVHhbHmP79e/7BmYjQY0JdOvqTO0UG9v3a31ucUT3uNubWlpIT3DJzOwfbLRovVNVkFcps+LgAAAAAAAABAYqh4AxbAtUU1uqNsXdT4Y5ePRRwfjlGFFU9BSvqc13W1+fzu+43XJ7pb9FrrBR1sv3zlv0nh6ObxfeBqMwu0I79SVkv0t0xza8vLA10zWs8LzWd0qqdFbcP9+ta5/QldkzKpurFrdHBGzzTrGBnQPx9/Xn+4/8f63oWDxviugqpZ3xMAAAAAAAAArmZUvAELwGG16d2rdmhNZoG+ZGoXebD9st6zaqdxfLgzMnjbkVehQ52xw7hUu2t+FruC5aeky5NVJG9vq8IK6+tnXo87d2teecygbbJy055vHcMDCa8lHA7rlZbzxnH7yIBGgv6I1pWx+IPBiOPmoV7lzzKE/cmlt3SiuzlqfEdexazuBwAAAAAAAABXO4I3YAFtySvX+2p36TvnD0iSenzDGvCPKt3hUvfokM72Xtnb7c93P6AUm0OrMvM1HPTr8cvHI+6VRivAWbmxuFbe3tZp55WnZSd0vxxXqvG6a3Qo4XWc7+uIaBkpSf2+EaW4o4O3+oFu/fd4SNg83Bdx7lxfuxoGe1SYkqGdBZUJP1+S6vo7o8YyHC5lOKP3xAMAAAAAAAAATI/gDVhAVotFt5SuNYI3aazd5Htrd+nN9ksKj++ytTar0KhiurN8vSTpjbaL6hi5UlFls9IpdjZ2FVSp1z+i833tcecUujNitgaNxRy89fgSD97q+juixvr8IypwZ0SNf+X0PrVOCtwmPFl/0nj9x6n3RlTgTSUQCqp9UvAnSZ/YfFtC1wMAAAAAAAAAohG8AYvsjbaLem/tLp0xVWFdU1gdNe+Tm2/TH735E0lSVXruQi1vxbFYLLqjbF3Cwdp0spwpssqikMLq949qwD+q5qFeVWfkyWG1xb2uJUaQ1usbiRrrHh2KG7pN9nzTGX1ozTUxz73WekHPNZ3RraVrdV3RKvX4hsdj3jFV6bm6pXRtwsEdAAAAAAAAACAawRuwCK4prNYbbRclSS6bXY9eekvHupqM8zUZ+VHX5Kek69c33KQjnQ26rdSzUEvFNKwWq7JcbnWPt5n8zIHHNBAY1dqsQv3OljviXtc8FB2mdY0ORhyHw2H907HnEl6L2xa7/ag/FDT2s/vvM6/r2sKaiOrJ2sx8/d7WuxJ+DgAAAAAAAAAgNnrVAYvgrvH2kdJYRdNjk/Zvy3Olxbxua165fmHtXlWkU5W0lOQ4r7SbHAiMSpLO9LbpcEd9zPnhcFgtQ71R449cOKQD7ZeM41M9LVF7uk0lzRE7eGue9Cx/KKiT3S3GccF4W1MAAAAAAAAAwNwQvAGLoMidqUxHSsxzqXanUuyOBV4R5sK8z5vZkc6GmOMD/lENBnwxz/3P2f0KhkKSpH858cKM1mGJM14/0B1xPBoMqHGwxzjemFM6o+cAAAAAAAAAAGKj1SSwCBxWm/7fljt0qLNegVBQA/5Rvdl+SYMBn3blVy728jBD8YK3Af/Ynm2Ngz16peW8ytKylWKzG20fYxkJ+tU41KOy1GyFwuGo83sLq5XtStWT9SejzvmCwZj3bDCFbJL0/brDOt59pbVpPhVvAAAAAAAAAJAUBG/AIilKzdS9qRuN44drtql9eEDladmLtyjMSrzgbTDgUzAU0j8df169vuGYc/YUVKk4NUs/ufSWMXako0HB3FDU3N/dcqdWZxVowD8aM3h7vP647qvaJKslspi5YTCy4u31trqI44w41ZcAAAAA0AsxqQAAHMRJREFUAAAAgJmh1SSwRKTYHKpIz5HFEq9hIJaq6vS8mONDAb/O9bXHDd0kqTg1S2+v3KSPeq4zxi4NdMrb2xYx7+/3vlOrswokSS5b/J+ZeLH5XMRxOByOajU5WYbTNeV5AAAAAAAAAEBiCN4AYI4mArHJhgI+vTapumyy0tQsSWMB3ISOkUGd7W01jn9+zTVKc1wJxxxWmzxZRTHv993zByKOu0aHNBz0x31+WWq2XFaKnwEAAAAAAAAgGXi3FQDmSb9/RAfaL8U9n+V0a3NuqaTIfdZahvvUMtxnHHuyo0O239x0iy70dajbN6T/8r4WcW5fy3ldX1wrSaofjF/tVpCSrk9uvo0qSwAAAAAAAABIEireAGAe+UPBmOMbc0r06e33yG61SZLcdkfcFpJ5rrSoMYfVJk92kdZkFkadO9LZYLxumKLN5LtX7VCGk/3dAAAAAAAAACBZqHgDgCTIdaWqa3Qoobl/vONelaflRI1nOlLUHhyIGCtLzZ6yIi0vJU17Cqq031RZ1zEyoI6RsfvU9XfEvTbWGgAAAAAAAAAAs0fFGwAkwa+uv0kVaTnaU1ClIndG1Pk0u0tF7gy9t3ZX3MAr0+mOGvvouuumffYveq7TH267xzhuGurVH735E/3Rmz/R8e5mY/wPtt1ltLQscmcq15U67b0BAAAAAAAAAImj4g0AkqAqI1ef3nGvJOmvjjwVdf7u8vW6u2LDlPcocmfofF+7cZxmd6k4NWvaZ1ssFpWnZyvFZtdIMBBzjstqV3lajj65+Ta91dmoLXll7O0GAAAAAAAAAElG8AYASZbucEWN5aZE79M22b0VGzXgH1XHyIBcNrvuKd8ga4LhmM1i1ftW79ZT9Sc1Oil8c9nsurtigxxWm/JT0nVbmSexDwQAAAAAAAAAMCMEbwCQZDcUr9bpnlb5Q0FjbGtu2bTXFboz9Bsbb571c/cW1mhvYc2srwcAAAAAAAAAzA3BGwAk2ba8cv3NNQ+rzzeiNIdLqXZnwpVrAAAAAAAAAIDli+ANAOaB2+6U2+5c7GUAAAAAAAAAABaQdbEXAAAAAAAAAAAAAKwEBG8AAAAAAAAAAABAEhC8AQAAAAAAAAAAAElA8AYAAAAAAAAAAAAkAcEbAAAAAAAAAAAAkAQEbwAAAAAAAAAAAEASELwBAAAAAAAAAAAASUDwBgAAAAAAAAAAACQBwRsAAAAAAAAAAACQBARvAAAAAAAAAAAAQBIQvAEAAAAAAAAAAABJQPAGAAAAAAAAAAAAJAHBGwAAAAAAAAAAAJAEBG8AAAAAAAAAAABAEhC8AQAAAAAAAAAAAElA8AYAAAAAAAAAAAAkAcEbAAAAAAAAAAAAkAQEbwAAAAAAAAAAAEAS2Bd7AUvUakk6deqUPvShDy32WgAAAAAAAAAAALBATp06NfFy9UyvJXiLLV2S+vv7tX///sVeCwAAAAAAAAAAABZe+kwvIHiLrU5SjaQBSecWeS1L3TZJWZJ6JR1Z1JUAmKtt4usZWCm2ia9nYCXYJr6WgZVim/h6BlaKbeLrGVgJtomvZUxttcZCt7qZXmgJh8PJXw6uGh6P5wVJN0t60ev13rK4qwEwF3w9AysHX8/AysDXMrBy8PUMrBx8PQMrA1/LmE/WxV4AAAAAAAAAAAAAsBIQvAEAAAAAAAAAAABJQPAGAAAAAAAAAAAAJAHBGwAAAAAAAAAAAJAEBG8AAAAAAAAAAABAEhC8AQAAAAAAAAAAAElA8AYAAAAAAAAAAAAkAcEbAAAAAAAAAAAAkAQEbwAAAAAAAAAAAEAS2Bd7AVj2vi7pBUkXF3UVAJLh6+LrGVgpvi6+noGV4OviaxlYKb4uvp6BleLr4usZWAm+Lr6WMU8s4XB4sdcAAAAAAAAAAAAALHu0mgQAAAAAAAAAAACSgOANAAAAAAAAAAAASAKCNwAAAAAAAAAAACAJCN4AAAAAAAAAAACAJCB4AwAAAAAAAAAAAJKA4A0AAAAAAAAAAABIAoI3RPF4PHxeAACwRHg8Hsf4r5bFXgsAAACw0vA+GAAg2eyLvQAsDR6PJ1dShaQmr9fbbhq3eL3e8OKtDMBMeDyeQknXSOqR1CKpzuv1BhZ1UQBmZfzv5n+Q9LqkL/H3MbB8eTyeYklvkzQk6Zykt7xer29xVwVgpjweT4GkbZI6JNV7vd6O8XGr1+sNLebaAMyMx+PJkZQvqcXr9fYv9noAzJ7H48mXtFVSp6SGib+fgcXET3RAHo/nc5LekvSMpHqPx/M/Ho/n/kVeFoAZ8ng8n5d0StKPJb0o6bCkL46HcQCWnw9I+pCkuz0ez2aJqjdgOfJ4PJ+RVCfpq5K+LWm/pK+Ov4EPYJkY/3/tk5Iek3RQ0isej+ePJInQDVhePB7PZzX2dfyMpDMej+dvPB7PnvFz/P82sIyY/n5+XNIhSQc8Hs9f8LWMxWYJh/nh6auVx+Mpk/Svkh6UdFTSGUlrNPYTfJL0kKQnvF6vn8o3YOnyeDxrJf27pFs09j8Z+yT5NPamfbGkr0j6vNfrbVisNQJI3MTfuR6P53cl/bXGKlj/RtLfer1e/6IuDkDCPB5PuqS/kvTrGvu7+VmNVcn8P0lFkt7l9XofX7wVAkiEx+OplfRlSbdp/A09SdmS3qGxLkK3eL3elzwej83r9QYXbaEApuXxeGokfUnSXRr7odVLkrZIKpXUKulhr9f7+uKtEECiPB7PRkn/IelaScckvSkpTWNdJjIkfVrSF71eb++iLRJXNSrerm63SbpX0jckPej1en9O0k5Jn9DYm/b/orF/TIjQDVjS3qex0O3rkt7p9Xp/y+v1/q7GKmUOSXqnpL2LtjoAM2L6O3edpFFJKZLeo7F/UABYPrZJ+qCklyT9vNfr/VOv1/uvku6XtJPQDVg27pd0q6RvSnqH1+v9Va/X+15Jnxo//5uSROgGLAv3SbpDY2H6vV6v920aC94+r7Efivmax+Ph387A8vCLGvs38pclPeD1ej/q9XrfJ+lXJLVJ+mVJaxdxfbjKEbxd3T4qKSjpz71e7+Xxn9ALS/qixv6nI0/Sb038TwclusDSM97H+uOSzkr6hNfrveTxeGzjp5/TWMvJXI3/zwZfx8DSZ/oadknqlfQdjfWrf8f4XhR8LQPLw/skZUr6B6/XW2caP+X1ek96PB7j32Lm1wCWDo/HY9dY1WqvpD8Z/3ezY/z0/43/2uvxeJz83QwsC7+qsb3QPzP+9Wz1er1dkj6nsZbQ6yX9/+3deZBmVXnH8e/sLAoZEBwYGcSIj8CIoAIK0UjFBQEpFBUVESSMcQhJcIuxUGOVCC5EIxUVklJEjKKgQZRFI4JIxVIxLHHhUUkQEFBmwFEYGGbp/HHOnb60PUwz/S7N7e+nirrT773vckt/dznn3Oe8tVaVkTRFRcSuwFLKfOgn1Law2XX1+ZRqEztT7qO9f9ZQeIM3DUXEjFr6ZhZwD2XOCTJzbS1vtRY4l9LQ92zg2IjY0qfepCnpCcB84PbM/H2T4XoDMUIphQPlaVafXpUeBWqGZwE7AddRbhx+SXkK/fl1G7MsTVGtTrRZwDpKSfdm3f7AuyPis8AFEfHGiJjr/FDSlNXMlbwCuA2gVfb50Pra+Zn5oOdmaeqq7WALKGXo7snM30KZn7HeO68FzgC+CRwGHBER84b3iyVtxE6UyjC/rtM0zMjMNRExu15Xf6du9zTw/lnDYcdbx0XEs+rFxfre/cwcycx7gbmUOtbPbdY3B6LMvIVStu5nlIa+gwf/6yU1xstydStwF7AoIha3Mtw04G1Vlz+v7/W4Lw3Zw+S5Wd/c/G8OrMrMy4DzKOfsV9e5KSRNARu41m7OwfMp91vNU+eHUkbTvxt4JWU+5TMpHXAvGOwvl9S2oXNzZt4OLKeMmn9zRDwlIuZExJHAOyiD4M6KiK9ExNKI2GIYv1/SqIjYMyL2iIgnN6/V++S7KNOqPDEi9q7bzmjO25n5Y+Bs4G7gtcB+A//xkh5ivDxXdwD3AvMjYlGrLWxNXf/4uvy/+jk+8aaBswG2wyLiFcAPgJfBaO9+q+G9mVfiea2nY9quozz5ti1wWC1pJ2nANpTllguAq4Flrfc0FxXNxcmK+l5H1EtDNIE8rx95CywCfl1f/hrwX5S5Wf+iftaWEfHY+m9vJKQBe5hr7aZc7OV1+ayIWAR8gDLR+8uA/SmD264BDgHe2zQomGdpsCaQ5ffW5Qcp19zXUqrDbF7//gWlI/3jlE64nev7zbI0QLVx/uvAdyll5rJ2iu/d2uwqyhPpe7YHn7fyejnwVWB34IURseXg9kBSYwJ5XgNcAdxC6YBr3tdkeYe6vBt84k3DYcdbt+1aly+KiPU1bVsN79dSDkAHAjH2zZl5H+Ux++uAPwee2u8fLGlc42V5JkBmLgfel5nHZOadzRuaR+0pk8GPMNr4J2m4xj03tzeof29X/1xbl9cCn6//fn1EvBX4F+CvwRsJaUg2dK3d5PZHlHlk9qFM7r4TcHhmfhW4LjMvBI6lzBO1f/23eZYG72GznJnfoMzz9h+U6+rdKSWsDsvM5wEvBl5BGSBzFGXOGbMsDUhEzIyIEyiDWQ4EfgxcWpeHA5+JiF1qpq8H5lByu23zGa2nZZYBF1Gepjm0vY2k/ptAns+JiCdm5i+Av8vM4+o8jcD6trDHUgas/oEyB5w0FHa8dVDriban1eULgIMjYl49ADUj966jHID2Bw7cQP3qn1JGBD2B2jnXer+kPtpIlte1Ot/urNuPzeYzKOWtfghc46hbaXgmcG5ul7UaoYzE3Yoygq8pmXExJc/7A+8HjgFWe16WBmsCeW7W30Z5GuZQSsfbNZRGg7afUcpP3gs8OyJ27OuPl7TeRM7NrevtMzPzCOAk4HvAGzLz6rpuHXAh8D5KlYlDIsJBq9Lg7Aa8k5K/JZl5QGa+BngO8J+UjC+p214B3EhpwN+3/SGt6/GrKNfcTwcW13W2n0qDsbE8LwaOB8jMm2G0LayV4X0ppSavzsyf2xamYfHE0UG1QX4BpVTG7+rLr6HWp26N3LuFcoNwP6Xxbo/259RRfg9QLjqgjBZY/35J/TWBLK8bs/3YbD6vLr9XG/LneMEhDccE8jx2VPzjKZNFLweIiCcBR1PO1TMp81Msycx/8rwsDdZEz8+Z+RtKh/mtwPbAysxcNWZe5RFKmbqbKIPc7kXSQEzk3NzkOSJmRcRWwInAVpl5c0TMbn8WcAPlCfWFwKqB7Yg0TbXubY+i5O5vM/Pzdd1mmbmSUuYZSsWIuXUetwso19knRERTjq55UmZmZt5LKfMOcFBd55QNUh89wjwfExFzm/e22rmbe+oD6/LqupxtW5iGwY63R7nxRt3Unv4TgHnA6cCnKCMCjoiIbeo2zU3ChZQLin2A10XE41uf2xyUfgisBO7b0HdKmpxJZHnci4f6BOuR9c/LADLzwXozMT8iXhIRe4z3XkmT06M8NzcN90XE0cDngFMoDXmXAFsCi2uDofPISH3Sg2vtSyjl59YAT4+IpzUVKFq5/RWwDlgAOKey1AeTPTfXRr0ZwJOAeyNiu/o0evscfBelMf9PKOdpSX3QehK1uV7eqy5/W9fPqoPIoc4NBcxldP7zf6Ocmw8GjoyIx9T3ta+nr63L37e/U1JvbWKe5wG7bODzHkcp//wgo21hq1ttYc+3woQGxRPHo1Ctd7t9HYkz3qib7Smj4pdTbh6+TjkwHUHt9c/MNfX9y4CzKXWujwNeV9eva332XsAWwOpmXb/2TZpOepTlhzwl07pZ2JPyeP1/UyajpZbLOYhS0uorlJuMOT3fMWka6kOem7lX31m3fyZwcmbuDPwD8BPKDcXzx3mvpEno8bX2XcC5lGvtJwB/VdevbeV2IbCIkuvf9G/PpOmlD+fmecDPgZ0pJd0Zs81CSsP+jcCve7s30vQ2Xp5b5dZvowxO2xb+qBLMIkrWR6jn2My8nTJX8m+BNzNa3WmkdaxoStA2nQK2g0k90qM8LxvzmU1b2D6UKVeuAv6nWVfbwppz/UvsTNcg+H+yR5mIOJbSw/8N4NsR8a6I2HrMZo+jlKx5Ty1xczXwRUrZqiMj4ol1u+agdAVlhN8DwGkRsSQiNqvftw/wHuBuyqggST3QyyzHH88NBbVEDnBZZq6MiH2Bj1KemnkZ8FXg9Mxc3Yfdk6aVHue5ueG4pS73BD4P7JCZp9XXbga+QGngOzYituvDbknTUp+utb8FnAncSSlrdXJE7FK/bz/gk5TGhTMy875+7Zs0nfT43Ny0myynzJG+AHhbRDSlrJosf7p+5umZeU+fdk2adjaU51aD/E2UxvrxOsfmUOZNTuDB1rX2BcAZwHzgwxFxROv79gPeTulA//fe75E0ffUyz+0Vrbaw59TlxXUg3D6MtoUdDlwKfMnOdA3CjJERB0g/GkTE9pSLglcBd1B69p9CGXX3LeDUzLyybrsZsDdlpN2KWrt+L+Bj9fW/z8wz67Yz6/pZlJF95wFrgV9SRgP9KaVh7yPAe4H7HFUvbbp+ZXnMd8ygNPAtAU6mzOO4FNgV+D5wYmb+qH97KU0P/cxzRMwH3gBclZnX1NdmQRn1FxF7U+ZnPTszr+//3krdNoBr7bmUa+2mAW8lpYN9AaUs3eeAt9RqFJI2UR+zPKuef59BuS8+lNIRdwXwGMpAmR2BzwJvM8vS5E0gzx/MzMujzNM2KzNva713Ri0t90bKvfEZmXnSmHXbUJ56/SjlvPyDulxMebLmFOBUYJXtYNLk9CvPY75jM0qn+sHAscA22BamIbLj7VEiyvwu5wDnU24Wrq+NbkcDJ1FGv+9Xy9m037d+8vaIWAp8kFKr+qTMvLa9vm5zKGVC6RdSnoC7C/hQZn6xz7soTQsDzPLFlJIZtwI7UTrS35aZjtiTeqRfeR7neyxxI/XZAM/PBwMvpZSJXUmZO+aTmfml/u6hND30McvtclgLKA3yh1CejltBmavxA5l5Xv/3UpoeJpDnXwH7Nnmu18wjrSzPoVSJeDlweGZeFOOUno2I44FXA/tTzs13AKfYDib1zgDzfDUlyzdRHiaxLUxDY8fbFDTODfps4NvAbsBuY0fPRcSXKaXjzgXelJn3j/d5tVTGh+q2p1A61O6P0Qmj29+5BbAoM2/sxz5K08EwslzXz6XM4/a6+tbTMvPk/uylND0MMc8P+V5JkzcVrrXr+3bIzDt6voPSNDGELI+di2Z7ylzo85un0yVtmknk+bPA0rF5rtvsQnnK5QHggMy8tXl6ta5vZ3oOsDWw0GoS0uQMI891m62BrwF/RpkH7gO2hWmYnONtChpzcJpBKT+zJ6WUxar6+swYrU39dsokz0cDL48xE0Q2n5eZN1NKSf4GOBI4oFk/5jtnZuZKO92kyRlGluvyQeAe4EvAjl5oSJM3xDzb6Sb12BS41m7KxtrpJk3CELK8rrXt2sy8IzNvstNNmrxJ5Pn1jJPn6qWUeRcvro30M1qdbrsDuzaDY4A1mbnMTjdp8oaQ5z0i4qmZuYJy7r6E0oluW5iGavawf4BGRcRiytwPqynzrH0GWJaZyyLiFsokkguBG1ujcmZk5v9GxEcpE7O/hTJJ5c1jPrsZbXAF8BXgRMrB7PrMvKs9GmHsY7qSHpkhZ3lOZq6mPEq/egC7K3XaVDk3S5q8qZLn9shcSY/cVMmypMnrR57r0zVrgQPr11wCpTMgSqnYVwJvBX4BvBa4y1xLkzfkPN8cEQcBR9XB6NLQ+cTbFBARW0XEvwI3AP9IKWdxGnA5sKRu9ivKZJA71ffMGPMx51AOPnsDh4/dpnWjfw9loslrKaP3XtpeL2nTTZEsr24vJW2aKZJnz81SD5hnqRvMstQdfczzzMxcQykFuy/wO+DKiJgXEa8CPg18jPIEzpdzzHyPkh65KZLn8zLzATvdNJXY8TZktUbt+cDxlAPMEsokzZ8Gdgc+ERELgYsp/3sd135/7eGfmZkPAGfVl0+sr420D2Stf38PuAyYTxk1IGmSzLLUHeZZ6g7zLHWDWZa6o895bio47QvsAPwQWAx8HDgbOAj4Z2C7zDyzbzspTRPmWdowO96GpHUx/2LghZSe/WMz81OZeWlmHg98pG7zLsoEk38AjoyIfeqBaTaMlobMzK8B3wWeRHnU9iGaG4r6JMxZlLmfzunfXkrdZ5al7jDPUneYZ6kbzLLUHQPOc9Ng/3TK3OfHAd8Bds3Mt1ghRpoc8yxtnB1vQ9L06FNGBAB8uNa8ndUceCijA+4H9svMlcCH6uun189Y03xe6z2fqMvdmu8Z+711eUtm3tnj3ZKmHbMsdYd5lrrDPEvdYJal7hhEnludAdvW5fbAfcAhmXlwZt7U8x2TpiHzLG2cHW9DUg8em1MOGLcDK+qourWtA89WlIknN6t/n0qpifvciDim/Xmt9yyvy3mt75HUJ2ZZ6g7zLHWHeZa6wSxL3TGIPLc60b8PrAROysynZualfdkpaZoyz9LG2fE2JPXg0fy3I/Dk5oBSRwxAqSP/IPC7iHhsXf/muu7DEbFXc4MQEXPq6/PqcmXreyT1iVmWusM8S91hnqVuMMtSdwwqz3VuqAS2ycwz+r1f0nRknqWNs+NtiOpjtmdR6tz+srWqueh/BrAFcENm/qG+50LKY7ePo0wg+eL6+uqI2BV4O+Ux3sv6vweSwCxLXWKepe4wz1I3mGWpOwaR5xydL+rB/u6NNL2ZZ+nhzd74JuqnzPwC8IUxrzUHqAPq8ptQ6t3WR29PpYwa+BvgmRHxufr3vsCzgE8CP+3/r5fUMMtSd5hnqTvMs9QNZlnqDvMsdYd5ljZsxsiIFRWmgoiYlZlrW3/vDFwJbA3s3kzo3BykImIe8CZgKfAUymiCZZTJLE8f9O+XVJhlqTvMs9Qd5lnqBrMsdYd5lrrDPEt/zI63KabWrl0XEa8GzgUuBo4AaB/AWttvC+wAbAtcl5krBvl7JY3PLEvdYZ6l7jDPUjeYZak7zLPUHeZZGmWpySmmqV0LHAbMAr45ZsTAQuAvKQeji4C7M3P54H+ppIdjlqXuMM9Sd5hnqRvMstQd5lnqDvMsjbLjbQqKiAXAIcAq4Lz62paUg9YxwIsotW4vatXNlTTFmGWpO8yz1B3mWeoGsyx1h3mWusM8S4Udb1PT3sDmlAPQ3RHxIuAo4EhgLnBqZr5rmD9Q0oSYZak7zLPUHeZZ6gazLHWHeZa6wzxLwMxh/wCNiogZ9Z87UjpFd4yIU4HPAEcDlwI7e3CSpjazLHWHeZa6wzxL3WCWpe4wz1J3mGfpoXzibQppPV67S13uBjwb+Anw2sy8chi/S9IjY5al7jDPUneYZ6kbzLLUHeZZ6g7zLD2UHW9TU9blWmBpZp41zB8jaZOZZak7zLPUHeZZ6gazLHWHeZa6wzxL2PE2Vd0AvAM4IzNXDfvHSNpkZlnqDvMsdYd5lrrBLEvdYZ6l7jDPEjBjZGRk41tJkiRJkiRJkiRJelgzh/0DJEmSJEmSJEmSpC6w402SJEmSJEmSJEnqATveJEmSJEmSJEmSpB6w402SJEmSJEmSJEnqATveJEmSJEmSJEmSpB6w402SJEmSJEmSJEnqATveJEmSJEmSJEmSpB6w402SJEmSJEmSJEnqATveJEmSJEmSJEmSpB6w402SJEmSJEmSJEnqATveJEmSJEmSJEmSpB6w402SJEmSJEmSJEnqATveJEmSJEmSJEmSpB6w402SJEmSJEmSJEnqATveJEmSJEmSJEmSpB6w402SJEmSJEmSJEnqATveJEmSJEmSJEmSpB74f0oxJBgUNJ75AAAAAElFTkSuQmCC\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b92b1c1ce10>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 304,
+       "width": 879
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
     "# what does the equity curve look like?\n",
-    "res.plot()"
+    "res.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 31,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
@@ -230,59 +270,59 @@
       "Stat                 above50sma\n",
       "-------------------  ------------\n",
       "Start                2010-01-03\n",
-      "End                  2017-02-22\n",
+      "End                  2022-07-01\n",
       "Risk-free rate       0.00%\n",
       "\n",
-      "Total Return         82.61%\n",
-      "Daily Sharpe         0.56\n",
-      "Daily Sortino        0.68\n",
-      "CAGR                 8.80%\n",
-      "Max Drawdown         -31.96%\n",
-      "Calmar Ratio         0.28\n",
+      "Total Return         116.08%\n",
+      "Daily Sharpe         0.42\n",
+      "Daily Sortino        0.63\n",
+      "CAGR                 6.36%\n",
+      "Max Drawdown         -39.43%\n",
+      "Calmar Ratio         0.16\n",
       "\n",
-      "MTD                  7.10%\n",
-      "3m                   13.58%\n",
-      "6m                   28.80%\n",
-      "YTD                  6.85%\n",
-      "1Y                   35.60%\n",
-      "3Y (ann.)            16.24%\n",
-      "5Y (ann.)            13.20%\n",
-      "10Y (ann.)           8.80%\n",
-      "Since Incep. (ann.)  8.80%\n",
+      "MTD                  0.00%\n",
+      "3m                   -19.50%\n",
+      "6m                   -26.03%\n",
+      "YTD                  -26.03%\n",
+      "1Y                   -22.10%\n",
+      "3Y (ann.)            10.34%\n",
+      "5Y (ann.)            1.89%\n",
+      "10Y (ann.)           8.70%\n",
+      "Since Incep. (ann.)  6.36%\n",
       "\n",
-      "Daily Sharpe         0.56\n",
-      "Daily Sortino        0.68\n",
-      "Daily Mean (ann.)    10.09%\n",
-      "Daily Vol (ann.)     18.12%\n",
-      "Daily Skew           -0.54\n",
-      "Daily Kurt           4.49\n",
+      "Daily Sharpe         0.42\n",
+      "Daily Sortino        0.63\n",
+      "Daily Mean (ann.)    8.07%\n",
+      "Daily Vol (ann.)     19.45%\n",
+      "Daily Skew           -0.65\n",
+      "Daily Kurt           4.74\n",
       "Best Day             5.78%\n",
-      "Worst Day            -7.99%\n",
+      "Worst Day            -8.26%\n",
       "\n",
-      "Monthly Sharpe       0.51\n",
-      "Monthly Sortino      0.72\n",
-      "Monthly Mean (ann.)  10.74%\n",
-      "Monthly Vol (ann.)   20.97%\n",
-      "Monthly Skew         -0.50\n",
-      "Monthly Kurt         0.46\n",
-      "Best Month           13.64%\n",
-      "Worst Month          -16.03%\n",
+      "Monthly Sharpe       0.39\n",
+      "Monthly Sortino      0.65\n",
+      "Monthly Mean (ann.)  8.59%\n",
+      "Monthly Vol (ann.)   21.86%\n",
+      "Monthly Skew         -0.37\n",
+      "Monthly Kurt         0.73\n",
+      "Best Month           21.65%\n",
+      "Worst Month          -17.26%\n",
       "\n",
-      "Yearly Sharpe        0.65\n",
-      "Yearly Sortino       2.03\n",
-      "Yearly Mean          10.91%\n",
-      "Yearly Vol           16.75%\n",
-      "Yearly Skew          -0.13\n",
-      "Yearly Kurt          -0.68\n",
+      "Yearly Sharpe        0.41\n",
+      "Yearly Sortino       0.83\n",
+      "Yearly Mean          9.78%\n",
+      "Yearly Vol           23.65%\n",
+      "Yearly Skew          -0.88\n",
+      "Yearly Kurt          -0.67\n",
       "Best Year            34.85%\n",
-      "Worst Year           -13.42%\n",
+      "Worst Year           -34.38%\n",
       "\n",
-      "Avg. Drawdown        -3.51%\n",
-      "Avg. Drawdown Days   54.34\n",
-      "Avg. Up Month        4.92%\n",
-      "Avg. Down Month      -4.59%\n",
-      "Win Year %           71.43%\n",
-      "Win 12m %            68.00%\n"
+      "Avg. Drawdown        -3.56%\n",
+      "Avg. Drawdown Days   47.27\n",
+      "Avg. Up Month        4.76%\n",
+      "Avg. Down Month      -5.35%\n",
+      "Win Year %           66.67%\n",
+      "Win 12m %            67.14%\n"
      ]
     }
    ],
@@ -292,7 +332,7 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
@@ -303,9 +343,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 32,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -329,7 +372,7 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
@@ -338,27 +381,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 33,
    "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "sma10\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00sma20\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00sma40\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00spy\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00"
-     ]
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
-   ],
+   },
+   "outputs": [],
    "source": [
     "# simple backtest to test long-only allocation\n",
     "def long_only_ew(tickers, start='2010-01-01', name='long_only_ew'):\n",
@@ -382,31 +412,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 34,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3sAAAFHCAYAAAAY6lUcAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b92b27bf110>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 320,
+       "width": 879
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res2.plot(freq='m')"
+    "res2.plot(freq='m');"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 35,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
@@ -416,59 +458,59 @@
       "Stat                 sma10       sma20       sma40       spy\n",
       "-------------------  ----------  ----------  ----------  ----------\n",
       "Start                2010-01-03  2010-01-03  2010-01-03  2010-01-03\n",
-      "End                  2017-02-22  2017-02-22  2017-02-22  2017-02-22\n",
+      "End                  2022-07-01  2022-07-01  2022-07-01  2022-07-01\n",
       "Risk-free rate       0.00%       0.00%       0.00%       0.00%\n",
       "\n",
-      "Total Return         77.09%      103.52%     106.10%     140.56%\n",
-      "Daily Sharpe         0.52        0.65        0.67        0.88\n",
-      "Daily Sortino        0.63        0.79        0.84        1.13\n",
-      "CAGR                 8.34%       10.47%      10.66%      13.09%\n",
-      "Max Drawdown         -26.87%     -26.94%     -32.56%     -18.60%\n",
-      "Calmar Ratio         0.31        0.39        0.33        0.70\n",
+      "Total Return         284.16%     229.80%     145.62%     321.22%\n",
+      "Daily Sharpe         0.63        0.58        0.47        0.75\n",
+      "Daily Sortino        0.99        0.91        0.73        1.15\n",
+      "CAGR                 11.38%      10.03%      7.46%       12.20%\n",
+      "Max Drawdown         -31.77%     -40.72%     -34.93%     -33.72%\n",
+      "Calmar Ratio         0.36        0.25        0.21        0.36\n",
       "\n",
-      "MTD                  6.62%       6.85%       6.86%       3.85%\n",
-      "3m                   15.24%      12.92%      15.09%      7.75%\n",
-      "6m                   30.05%      30.43%      31.39%      9.31%\n",
-      "YTD                  8.03%       7.86%       8.05%       5.70%\n",
-      "1Y                   48.12%      39.04%      33.57%      23.91%\n",
-      "3Y (ann.)            8.20%       10.16%      15.75%      10.76%\n",
-      "5Y (ann.)            10.07%      11.58%      14.10%      13.99%\n",
-      "10Y (ann.)           8.34%       10.47%      10.66%      13.09%\n",
-      "Since Incep. (ann.)  8.34%       10.47%      10.66%      13.09%\n",
+      "MTD                  -0.76%      0.00%       0.00%       -0.37%\n",
+      "3m                   -10.58%     -22.25%     -18.82%     -16.66%\n",
+      "6m                   -10.71%     -32.14%     -30.31%     -20.28%\n",
+      "YTD                  -10.71%     -32.14%     -30.31%     -20.28%\n",
+      "1Y                   -13.63%     -24.65%     -27.20%     -11.44%\n",
+      "3Y (ann.)            28.10%      14.77%      3.73%       10.10%\n",
+      "5Y (ann.)            15.80%      8.37%       1.96%       11.11%\n",
+      "10Y (ann.)           13.76%      10.96%      9.67%       12.78%\n",
+      "Since Incep. (ann.)  11.38%      10.03%      7.46%       12.20%\n",
       "\n",
-      "Daily Sharpe         0.52        0.65        0.67        0.88\n",
-      "Daily Sortino        0.63        0.79        0.84        1.13\n",
-      "Daily Mean (ann.)    9.76%       11.58%      11.68%      13.48%\n",
-      "Daily Vol (ann.)     18.65%      17.96%      17.53%      15.30%\n",
-      "Daily Skew           -0.40       -0.49       -0.35       -0.38\n",
-      "Daily Kurt           6.58        4.47        3.44        4.05\n",
-      "Best Day             9.58%       5.78%       5.78%       4.65%\n",
-      "Worst Day            -7.99%      -7.99%      -5.64%      -6.51%\n",
+      "Daily Sharpe         0.63        0.58        0.47        0.75\n",
+      "Daily Sortino        0.99        0.91        0.73        1.15\n",
+      "Daily Mean (ann.)    12.88%      11.52%      9.01%       13.03%\n",
+      "Daily Vol (ann.)     20.48%      19.79%      18.97%      17.34%\n",
+      "Daily Skew           -0.11       -0.29       -0.45       -0.59\n",
+      "Daily Kurt           6.61        6.23        4.32        11.75\n",
+      "Best Day             10.47%      10.47%      6.20%       9.06%\n",
+      "Worst Day            -8.26%      -8.26%      -8.26%      -10.94%\n",
       "\n",
-      "Monthly Sharpe       0.54        0.60        0.60        1.12\n",
-      "Monthly Sortino      0.79        1.08        1.02        1.83\n",
-      "Monthly Mean (ann.)  11.21%      12.03%      12.37%      13.99%\n",
-      "Monthly Vol (ann.)   20.60%      19.97%      20.70%      12.51%\n",
-      "Monthly Skew         -0.30       -0.02       -0.17       -0.15\n",
-      "Monthly Kurt         0.87        -0.15       -0.24       0.32\n",
-      "Best Month           18.65%      14.34%      13.07%      10.91%\n",
-      "Worst Month          -16.94%     -14.23%     -15.05%     -7.94%\n",
+      "Monthly Sharpe       0.65        0.54        0.43        0.92\n",
+      "Monthly Sortino      1.18        1.02        0.75        1.62\n",
+      "Monthly Mean (ann.)  13.56%      11.95%      9.71%       13.00%\n",
+      "Monthly Vol (ann.)   20.96%      21.94%      22.42%      14.20%\n",
+      "Monthly Skew         -0.02       0.22        -0.10       -0.40\n",
+      "Monthly Kurt         1.01        1.11        0.67        0.89\n",
+      "Best Month           22.75%      24.73%      21.97%      12.70%\n",
+      "Worst Month          -16.94%     -14.34%     -15.86%     -12.49%\n",
       "\n",
-      "Yearly Sharpe        0.47        0.48        0.66        1.10\n",
-      "Yearly Sortino       1.54        11.38       -           -\n",
-      "Yearly Mean          8.25%       10.34%      10.45%      11.80%\n",
-      "Yearly Vol           17.65%      21.47%      15.82%      10.71%\n",
-      "Yearly Skew          0.09        0.63        -0.97       1.20\n",
-      "Yearly Kurt          -1.72       0.33        1.75        1.73\n",
-      "Best Year            32.80%      47.67%      30.59%      32.31%\n",
-      "Worst Year           -13.38%     -14.11%     -19.19%     1.23%\n",
+      "Yearly Sharpe        0.54        0.43        0.40        0.80\n",
+      "Yearly Sortino       2.01        1.03        0.77        2.15\n",
+      "Yearly Mean          13.38%      13.94%      9.76%       12.67%\n",
+      "Yearly Vol           24.64%      32.80%      24.22%      15.79%\n",
+      "Yearly Skew          0.41        -0.15       -0.87       -0.68\n",
+      "Yearly Kurt          -0.43       -0.96       -0.59       0.12\n",
+      "Best Year            62.47%      66.99%      39.35%      32.31%\n",
+      "Worst Year           -18.59%     -37.01%     -32.06%     -20.28%\n",
       "\n",
-      "Avg. Drawdown        -4.69%      -3.45%      -3.09%      -1.65%\n",
-      "Avg. Drawdown Days   61.50       46.67       51.78       17.55\n",
-      "Avg. Up Month        4.58%       4.71%       4.91%       3.06%\n",
-      "Avg. Down Month      -4.81%      -4.55%      -4.80%      -2.90%\n",
-      "Win Year %           57.14%      71.43%      85.71%      100.00%\n",
-      "Win 12m %            62.67%      62.67%      72.00%      92.00%\n"
+      "Avg. Drawdown        -3.95%      -3.49%      -3.68%      -1.69%\n",
+      "Avg. Drawdown Days   40.43       35.12       48.79       15.92\n",
+      "Avg. Up Month        4.68%       5.00%       4.69%       3.20%\n",
+      "Avg. Down Month      -5.00%      -4.85%      -5.70%      -3.56%\n",
+      "Win Year %           58.33%      66.67%      75.00%      83.33%\n",
+      "Win 12m %            68.57%      66.43%      69.29%      91.43%\n"
      ]
     }
    ],
@@ -477,7 +519,7 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
@@ -485,12 +527,11 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
-    "SMA Crossover Strategy\n",
-    "----------------------\n",
+    "## SMA Crossover Strategy\n",
     "\n",
     "Let's build on the last section to test a moving average crossover strategy. The easiest way to achieve this is to build an Algo similar to SelectWhere, but for the purpose of setting target weights. Let's call this algo WeighTarget. This algo will take a DataFrame of target weights that we will pre-calculate. \n",
     "\n",
@@ -501,9 +542,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 36,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -536,7 +580,7 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
@@ -545,9 +589,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 37,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -568,7 +615,7 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
@@ -577,19 +624,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 38,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA44AAAE+CAYAAADCok7IAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b92b25e9bd0>"
+       "<Figure size 1080x360 with 2 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 305,
+       "width": 916
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -601,7 +657,7 @@
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
@@ -612,21 +668,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 39,
    "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ma_cross\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00"
-     ]
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
-   ],
+   },
+   "outputs": [],
    "source": [
     "ma_cross = bt.Strategy('ma_cross', [WeighTarget(tw),\n",
     "                                    bt.algos.Rebalance()])\n",
@@ -637,35 +686,43 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 40,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA24AAAE3CAYAAADSTxJxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b92b25cdf50>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 304,
+       "width": 879
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res.plot()"
+    "res.plot();"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
     "Ok great so there we have our basic moving average crossover strategy. \n",
     "\n",
-    "Exploring the Tree Structure\n",
-    "----------------------------\n",
+    "## Exploring the Tree Structure\n",
     "\n",
     "So far, we have explored strategies that allocate capital to securities. But what if we wanted to test a strategy that allocated capital to sub-strategies?\n",
     "\n",
@@ -676,25 +733,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 41,
    "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "aapl_ma_cross\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00msft_ma_cross\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00s\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00"
-     ]
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
-   ],
+   },
+   "outputs": [],
    "source": [
     "# first let's create a helper function to create a ma cross backtest\n",
     "def ma_cross(ticker, start='2010-01-01', \n",
@@ -742,50 +788,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 42,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA24AAAE3CAYAAADSTxJxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nREREREREOrj/D3khG1W8v0sgAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b92b29eec90>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 304,
+       "width": 879
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res.plot()"
+    "res.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 43,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2sAAAEsCAYAAABddyttAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nVAAAEIFo1gAAAAAgAtGsAQAAAEAE+v+cQi1QW3bMaQAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b92b29e6a10>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 289,
+       "width": 876
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res.plot_weights()"
+    "res.plot_weights();"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
@@ -800,21 +864,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 44,
    "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "s\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00"
-     ]
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
-   ],
+   },
+   "outputs": [],
    "source": [
     "# once again, we will create a few backtests\n",
     "# these will be the child strategies\n",
@@ -839,50 +896,68 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 45,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA24AAAE3CAYAAADSTxJxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nRERERLo4JW4iIiIiIiJd3P8D5NUWT/QSX1sAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b92b2a752d0>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 304,
+       "width": 879
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res.plot()"
+    "res.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 25,
+   "execution_count": 46,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA3MAAAEsCAYAAABpDupxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nuz7HLAAAAABJRU5ErkJggg==\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b92b2823090>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 289,
+       "width": 888
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res.plot_weights()"
+    "res.plot_weights();"
    ]
   },
   {
-   "cell_type": "raw",
+   "cell_type": "markdown",
    "metadata": {},
    "source": [
     "\n",
@@ -892,23 +967,23 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 4
 }
diff --git a/docs/source/examples-nb.rst b/docs/source/examples-nb.rst
index d6b7e932..897b66e8 100644
--- a/docs/source/examples-nb.rst
+++ b/docs/source/examples-nb.rst
@@ -1,23 +1,36 @@
 SMA Strategy
 ------------
 
-Let's start off with a Simple Moving Average (SMA) strategy. We will start with a simple version of the strategy, namely:
+Let’s start off with a Simple Moving Average (SMA) strategy. We will
+start with a simple version of the strategy, namely:
 
-* **Select** the securities that are currently above their 50 day moving average
-* **Weigh** each selected security equally
-* **Rebalance** the portfolio to reflect the target weights
+-  **Select** the securities that are currently above their 50 day
+   moving average
+-  **Weigh** each selected security equally
+-  **Rebalance** the portfolio to reflect the target weights
 
-This should be pretty simple to build. The only thing missing above is the calculation of the simple moving average. When should this take place? 
+This should be pretty simple to build. The only thing missing above is
+the calculation of the simple moving average. When should this take
+place?
 
-Given the flexibility of **bt**, there is no strict rule. The average calculation could be performed in an Algo, but that would be pretty inefficient. A better way would be to calculate the moving average at the beginning - before starting the backtest. After all, all the data is known in advance. 
+Given the flexibility of **bt**, there is no strict rule. The average
+calculation could be performed in an Algo, but that would be pretty
+inefficient. A better way would be to calculate the moving average at
+the beginning - before starting the backtest. After all, all the data is
+known in advance.
 
-Now that we know what we have to do, let's get started. First we will download some data and calculate the simple moving average.
+Now that we know what we have to do, let’s get started. First we will
+download some data and calculate the simple moving average.
 
-.. code:: ipython2
+.. code:: ipython3
 
     import bt
 
-.. code:: ipython2
+.. code:: ipython3
+
+    %matplotlib inline
+
+.. code:: ipython3
 
     # download data
     data = bt.get('aapl,msft,c,gs,ge', start='2010-01-01')
@@ -27,32 +40,48 @@ Now that we know what we have to do, let's get started. First we will download s
     # a rolling mean is a moving average, right?
     sma = data.rolling(50).mean()
 
+It’s always a good idea to plot your data to make sure it looks ok. So
+let’s see how the data + sma plot looks like.
 
-It's always a good idea to plot your data to make sure it looks ok. So let's see how the data + sma plot looks like.
-
-.. code:: ipython2
+.. code:: ipython3
 
     # let's see what the data looks like - this is by no means a pretty chart, but it does the job
     plot = bt.merge(data, sma).plot(figsize=(15, 5))
 
 
 
-.. image:: _static/examples-nb_4_0.png
-    :class: pynb
-
+.. image:: _static/examples-nb_6_0.png
+   :class: pynb
+   :width: 879px
+   :height: 305px
 
 
 Looks legit.
 
-Now that we have our data, we will need to create our security selection logic. Let's create a basic Algo that will select the securities that are above their moving average.
+Now that we have our data, we will need to create our security selection
+logic. Let’s create a basic Algo that will select the securities that
+are above their moving average.
 
-Before we do that, let's think about how we will code it. We could pass the SMA data and then extract the row (from the sma DataFrame) on the current date, compare the values to the current prices, and then keep a list of those securities where the price is above the SMA. This is the most straightforward approach. However, this is not very re-usable because the logic within the Algo will be quite specific to the task at hand and if we wish to change the logic, we will have to write a new algo. 
+Before we do that, let’s think about how we will code it. We could pass
+the SMA data and then extract the row (from the sma DataFrame) on the
+current date, compare the values to the current prices, and then keep a
+list of those securities where the price is above the SMA. This is the
+most straightforward approach. However, this is not very re-usable
+because the logic within the Algo will be quite specific to the task at
+hand and if we wish to change the logic, we will have to write a new
+algo.
 
-For example, what if we wanted to select securities that were below their sma? Or what if we only wanted securities that were 5% above their sma?
+For example, what if we wanted to select securities that were below
+their sma? Or what if we only wanted securities that were 5% above their
+sma?
 
-What we could do instead is pre-calculate the selection logic DataFrame (a fast, vectorized operation) and write a generic Algo that takes in this boolean DataFrame and returns the securities where the value is True on a given date. This will be must faster and much more reusable. Let's see how the implementation looks like.
+What we could do instead is pre-calculate the selection logic DataFrame
+(a fast, vectorized operation) and write a generic Algo that takes in
+this boolean DataFrame and returns the securities where the value is
+True on a given date. This will be must faster and much more reusable.
+Let’s see how the implementation looks like.
 
-.. code:: ipython2
+.. code:: ipython3
 
     class SelectWhere(bt.Algo):
         
@@ -99,7 +128,7 @@ All we have to do now is pass in a signal matrix. In our case, it's quite easy::
 
 Simple, concise and more importantly, fast! Let's move on and test the strategy. 
 
-.. code:: ipython2
+.. code:: ipython3
 
     # first we create the Strategy
     s = bt.Strategy('above50sma', [SelectWhere(data > sma),
@@ -113,100 +142,97 @@ Simple, concise and more importantly, fast! Let's move on and test the strategy.
     res = bt.run(t)
 
 
-.. parsed-literal::
-    :class: pynb-result
-
-    above50sma
-    0%                          100%
-    [############################# ] | ETA: 00:00:00
-
-
 So just to recap, we created the strategy, created the backtest by joining Strategy+Data, and ran the backtest. Let's see the results.
 
-.. code:: ipython2
+.. code:: ipython3
 
     # what does the equity curve look like?
-    res.plot()
+    res.plot();
 
 
 
-.. image:: _static/examples-nb_10_0.png
-    :class: pynb
+.. image:: _static/examples-nb_12_0.png
+   :class: pynb
+   :width: 879px
+   :height: 304px
 
 
-.. code:: ipython2
+.. code:: ipython3
 
     # and some performance stats
     res.display()
 
 
 .. parsed-literal::
-    :class: pynb-result
+   :class: pynb-result
 
     Stat                 above50sma
     -------------------  ------------
     Start                2010-01-03
-    End                  2017-02-22
+    End                  2022-07-01
     Risk-free rate       0.00%
     
-    Total Return         82.61%
-    Daily Sharpe         0.56
-    Daily Sortino        0.68
-    CAGR                 8.80%
-    Max Drawdown         -31.96%
-    Calmar Ratio         0.28
-    
-    MTD                  7.10%
-    3m                   13.58%
-    6m                   28.80%
-    YTD                  6.85%
-    1Y                   35.60%
-    3Y (ann.)            16.24%
-    5Y (ann.)            13.20%
-    10Y (ann.)           8.80%
-    Since Incep. (ann.)  8.80%
-    
-    Daily Sharpe         0.56
-    Daily Sortino        0.68
-    Daily Mean (ann.)    10.09%
-    Daily Vol (ann.)     18.12%
-    Daily Skew           -0.54
-    Daily Kurt           4.49
+    Total Return         116.08%
+    Daily Sharpe         0.42
+    Daily Sortino        0.63
+    CAGR                 6.36%
+    Max Drawdown         -39.43%
+    Calmar Ratio         0.16
+    
+    MTD                  0.00%
+    3m                   -19.50%
+    6m                   -26.03%
+    YTD                  -26.03%
+    1Y                   -22.10%
+    3Y (ann.)            10.34%
+    5Y (ann.)            1.89%
+    10Y (ann.)           8.70%
+    Since Incep. (ann.)  6.36%
+    
+    Daily Sharpe         0.42
+    Daily Sortino        0.63
+    Daily Mean (ann.)    8.07%
+    Daily Vol (ann.)     19.45%
+    Daily Skew           -0.65
+    Daily Kurt           4.74
     Best Day             5.78%
-    Worst Day            -7.99%
-    
-    Monthly Sharpe       0.51
-    Monthly Sortino      0.72
-    Monthly Mean (ann.)  10.74%
-    Monthly Vol (ann.)   20.97%
-    Monthly Skew         -0.50
-    Monthly Kurt         0.46
-    Best Month           13.64%
-    Worst Month          -16.03%
-    
-    Yearly Sharpe        0.65
-    Yearly Sortino       2.03
-    Yearly Mean          10.91%
-    Yearly Vol           16.75%
-    Yearly Skew          -0.13
-    Yearly Kurt          -0.68
+    Worst Day            -8.26%
+    
+    Monthly Sharpe       0.39
+    Monthly Sortino      0.65
+    Monthly Mean (ann.)  8.59%
+    Monthly Vol (ann.)   21.86%
+    Monthly Skew         -0.37
+    Monthly Kurt         0.73
+    Best Month           21.65%
+    Worst Month          -17.26%
+    
+    Yearly Sharpe        0.41
+    Yearly Sortino       0.83
+    Yearly Mean          9.78%
+    Yearly Vol           23.65%
+    Yearly Skew          -0.88
+    Yearly Kurt          -0.67
     Best Year            34.85%
-    Worst Year           -13.42%
+    Worst Year           -34.38%
     
-    Avg. Drawdown        -3.51%
-    Avg. Drawdown Days   54.34
-    Avg. Up Month        4.92%
-    Avg. Down Month      -4.59%
-    Win Year %           71.43%
-    Win 12m %            68.00%
-
+    Avg. Drawdown        -3.56%
+    Avg. Drawdown Days   47.27
+    Avg. Up Month        4.76%
+    Avg. Down Month      -5.35%
+    Win Year %           66.67%
+    Win 12m %            67.14%
 
 
-Nothing stellar but at least you learnt something along the way (I hope). 
+Nothing stellar but at least you learnt something along the way (I
+hope).
 
-Oh, and one more thing. If you were to write your own "library" of backtests, you might want to write yourself a helper function that would allow you to test different parameters and securities. That function might look something like this:
+Oh, and one more thing. If you were to write your own “library” of
+backtests, you might want to write yourself a helper function that would
+allow you to test different parameters and securities. That function
+might look something like this:
 
-.. code:: ipython2
+.. code:: ipython3
 
     def above_sma(tickers, sma_per=50, start='2010-01-01', name='above_sma'):
         """
@@ -226,10 +252,11 @@ Oh, and one more thing. If you were to write your own "library" of backtests, yo
         # now we create the backtest
         return bt.Backtest(s, data)
 
+This function allows us to easily generate backtests. We could easily
+compare a few different SMA periods. Also, let’s see if we can beat a
+long-only allocation to the SPY.
 
-This function allows us to easily generate backtests. We could easily compare a few different SMA periods. Also, let's see if we can beat a long-only allocation to the SPY.
-
-.. code:: ipython2
+.. code:: ipython3
 
     # simple backtest to test long-only allocation
     def long_only_ew(tickers, start='2010-01-01', name='long_only_ew'):
@@ -250,110 +277,103 @@ This function allows us to easily generate backtests. We could easily compare a
     # run all the backtests!
     res2 = bt.run(sma10, sma20, sma40, benchmark)
 
+.. code:: ipython3
 
-.. parsed-literal::
-    :class: pynb-result
-
-    sma10
-    0%                          100%
-    [############################# ] | ETA: 00:00:00sma20
-    0%                          100%
-    [############################# ] | ETA: 00:00:00sma40
-    0%                          100%
-    [############################# ] | ETA: 00:00:00spy
-    0%                          100%
-    [############################# ] | ETA: 00:00:00
-
-.. code:: ipython2
+    res2.plot(freq='m');
 
-    res2.plot(freq='m')
 
 
+.. image:: _static/examples-nb_18_0.png
+   :class: pynb
+   :width: 879px
+   :height: 320px
 
-.. image:: _static/examples-nb_16_0.png
-    :class: pynb
 
-
-.. code:: ipython2
+.. code:: ipython3
 
     res2.display()
 
 
 .. parsed-literal::
-    :class: pynb-result
+   :class: pynb-result
 
     Stat                 sma10       sma20       sma40       spy
     -------------------  ----------  ----------  ----------  ----------
     Start                2010-01-03  2010-01-03  2010-01-03  2010-01-03
-    End                  2017-02-22  2017-02-22  2017-02-22  2017-02-22
+    End                  2022-07-01  2022-07-01  2022-07-01  2022-07-01
     Risk-free rate       0.00%       0.00%       0.00%       0.00%
     
-    Total Return         77.09%      103.52%     106.10%     140.56%
-    Daily Sharpe         0.52        0.65        0.67        0.88
-    Daily Sortino        0.63        0.79        0.84        1.13
-    CAGR                 8.34%       10.47%      10.66%      13.09%
-    Max Drawdown         -26.87%     -26.94%     -32.56%     -18.60%
-    Calmar Ratio         0.31        0.39        0.33        0.70
-    
-    MTD                  6.62%       6.85%       6.86%       3.85%
-    3m                   15.24%      12.92%      15.09%      7.75%
-    6m                   30.05%      30.43%      31.39%      9.31%
-    YTD                  8.03%       7.86%       8.05%       5.70%
-    1Y                   48.12%      39.04%      33.57%      23.91%
-    3Y (ann.)            8.20%       10.16%      15.75%      10.76%
-    5Y (ann.)            10.07%      11.58%      14.10%      13.99%
-    10Y (ann.)           8.34%       10.47%      10.66%      13.09%
-    Since Incep. (ann.)  8.34%       10.47%      10.66%      13.09%
-    
-    Daily Sharpe         0.52        0.65        0.67        0.88
-    Daily Sortino        0.63        0.79        0.84        1.13
-    Daily Mean (ann.)    9.76%       11.58%      11.68%      13.48%
-    Daily Vol (ann.)     18.65%      17.96%      17.53%      15.30%
-    Daily Skew           -0.40       -0.49       -0.35       -0.38
-    Daily Kurt           6.58        4.47        3.44        4.05
-    Best Day             9.58%       5.78%       5.78%       4.65%
-    Worst Day            -7.99%      -7.99%      -5.64%      -6.51%
-    
-    Monthly Sharpe       0.54        0.60        0.60        1.12
-    Monthly Sortino      0.79        1.08        1.02        1.83
-    Monthly Mean (ann.)  11.21%      12.03%      12.37%      13.99%
-    Monthly Vol (ann.)   20.60%      19.97%      20.70%      12.51%
-    Monthly Skew         -0.30       -0.02       -0.17       -0.15
-    Monthly Kurt         0.87        -0.15       -0.24       0.32
-    Best Month           18.65%      14.34%      13.07%      10.91%
-    Worst Month          -16.94%     -14.23%     -15.05%     -7.94%
-    
-    Yearly Sharpe        0.47        0.48        0.66        1.10
-    Yearly Sortino       1.54        11.38       -           -
-    Yearly Mean          8.25%       10.34%      10.45%      11.80%
-    Yearly Vol           17.65%      21.47%      15.82%      10.71%
-    Yearly Skew          0.09        0.63        -0.97       1.20
-    Yearly Kurt          -1.72       0.33        1.75        1.73
-    Best Year            32.80%      47.67%      30.59%      32.31%
-    Worst Year           -13.38%     -14.11%     -19.19%     1.23%
-    
-    Avg. Drawdown        -4.69%      -3.45%      -3.09%      -1.65%
-    Avg. Drawdown Days   61.50       46.67       51.78       17.55
-    Avg. Up Month        4.58%       4.71%       4.91%       3.06%
-    Avg. Down Month      -4.81%      -4.55%      -4.80%      -2.90%
-    Win Year %           57.14%      71.43%      85.71%      100.00%
-    Win 12m %            62.67%      62.67%      72.00%      92.00%
-
-
-
-And there you have it. Beating the market ain't that easy!
-
+    Total Return         284.16%     229.80%     145.62%     321.22%
+    Daily Sharpe         0.63        0.58        0.47        0.75
+    Daily Sortino        0.99        0.91        0.73        1.15
+    CAGR                 11.38%      10.03%      7.46%       12.20%
+    Max Drawdown         -31.77%     -40.72%     -34.93%     -33.72%
+    Calmar Ratio         0.36        0.25        0.21        0.36
+    
+    MTD                  -0.76%      0.00%       0.00%       -0.37%
+    3m                   -10.58%     -22.25%     -18.82%     -16.66%
+    6m                   -10.71%     -32.14%     -30.31%     -20.28%
+    YTD                  -10.71%     -32.14%     -30.31%     -20.28%
+    1Y                   -13.63%     -24.65%     -27.20%     -11.44%
+    3Y (ann.)            28.10%      14.77%      3.73%       10.10%
+    5Y (ann.)            15.80%      8.37%       1.96%       11.11%
+    10Y (ann.)           13.76%      10.96%      9.67%       12.78%
+    Since Incep. (ann.)  11.38%      10.03%      7.46%       12.20%
+    
+    Daily Sharpe         0.63        0.58        0.47        0.75
+    Daily Sortino        0.99        0.91        0.73        1.15
+    Daily Mean (ann.)    12.88%      11.52%      9.01%       13.03%
+    Daily Vol (ann.)     20.48%      19.79%      18.97%      17.34%
+    Daily Skew           -0.11       -0.29       -0.45       -0.59
+    Daily Kurt           6.61        6.23        4.32        11.75
+    Best Day             10.47%      10.47%      6.20%       9.06%
+    Worst Day            -8.26%      -8.26%      -8.26%      -10.94%
+    
+    Monthly Sharpe       0.65        0.54        0.43        0.92
+    Monthly Sortino      1.18        1.02        0.75        1.62
+    Monthly Mean (ann.)  13.56%      11.95%      9.71%       13.00%
+    Monthly Vol (ann.)   20.96%      21.94%      22.42%      14.20%
+    Monthly Skew         -0.02       0.22        -0.10       -0.40
+    Monthly Kurt         1.01        1.11        0.67        0.89
+    Best Month           22.75%      24.73%      21.97%      12.70%
+    Worst Month          -16.94%     -14.34%     -15.86%     -12.49%
+    
+    Yearly Sharpe        0.54        0.43        0.40        0.80
+    Yearly Sortino       2.01        1.03        0.77        2.15
+    Yearly Mean          13.38%      13.94%      9.76%       12.67%
+    Yearly Vol           24.64%      32.80%      24.22%      15.79%
+    Yearly Skew          0.41        -0.15       -0.87       -0.68
+    Yearly Kurt          -0.43       -0.96       -0.59       0.12
+    Best Year            62.47%      66.99%      39.35%      32.31%
+    Worst Year           -18.59%     -37.01%     -32.06%     -20.28%
+    
+    Avg. Drawdown        -3.95%      -3.49%      -3.68%      -1.69%
+    Avg. Drawdown Days   40.43       35.12       48.79       15.92
+    Avg. Up Month        4.68%       5.00%       4.69%       3.20%
+    Avg. Down Month      -5.00%      -4.85%      -5.70%      -3.56%
+    Win Year %           58.33%      66.67%      75.00%      83.33%
+    Win 12m %            68.57%      66.43%      69.29%      91.43%
+
+
+And there you have it. Beating the market ain’t that easy!
 
 SMA Crossover Strategy
 ----------------------
 
-Let's build on the last section to test a moving average crossover strategy. The easiest way to achieve this is to build an Algo similar to SelectWhere, but for the purpose of setting target weights. Let's call this algo WeighTarget. This algo will take a DataFrame of target weights that we will pre-calculate. 
+Let’s build on the last section to test a moving average crossover
+strategy. The easiest way to achieve this is to build an Algo similar to
+SelectWhere, but for the purpose of setting target weights. Let’s call
+this algo WeighTarget. This algo will take a DataFrame of target weights
+that we will pre-calculate.
 
-Basically, when the 50 day moving average will be above the 200-day moving average, we will be long (+1 target weight). Conversely, when the 50 is below the 200, we will be short (-1 target weight). 
+Basically, when the 50 day moving average will be above the 200-day
+moving average, we will be long (+1 target weight). Conversely, when the
+50 is below the 200, we will be short (-1 target weight).
 
-Here's the WeighTarget implementation (this Algo also already exists in the algos module):
+Here’s the WeighTarget implementation (this Algo also already exists in
+the algos module):
 
-.. code:: ipython2
+.. code:: ipython3
 
     class WeighTarget(bt.Algo):
         """
@@ -382,10 +402,10 @@ Here's the WeighTarget implementation (this Algo also already exists in the algo
             # return True because we want to keep on moving down the stack
             return True
 
+So let’s start with a simple 50-200 day sma crossover for a single
+security.
 
-So let's start with a simple 50-200 day sma crossover for a single security.
-
-.. code:: ipython2
+.. code:: ipython3
 
     ## download some data & calc SMAs
     data = bt.get('spy', start='2010-01-01')
@@ -402,10 +422,11 @@ So let's start with a simple 50-200 day sma crossover for a single security.
     # calculating its first point. Therefore, it will start with a bunch of nulls (NaNs).
     tw[sma200.isnull()] = 0.0
 
+Ok so we downloaded our data, calculated the simple moving averages, and
+then we setup our target weight (tw) DataFrame. Let’s take a look at our
+target weights to see if they make any sense.
 
-Ok so we downloaded our data, calculated the simple moving averages, and then we setup our target weight (tw) DataFrame. Let's take a look at our target weights to see if they make any sense.
-
-.. code:: ipython2
+.. code:: ipython3
 
     # plot the target weights + chart of price & SMAs
     tmp = bt.merge(tw, data, sma50, sma200)
@@ -414,16 +435,19 @@ Ok so we downloaded our data, calculated the simple moving averages, and then we
 
 
 
-.. image:: _static/examples-nb_24_0.png
-    :class: pynb
+.. image:: _static/examples-nb_26_0.png
+   :class: pynb
+   :width: 916px
+   :height: 305px
 
 
+As mentioned earlier, it’s always a good idea to plot your strategy
+data. It is usually easier to spot logic/programming errors this way,
+especially when dealing with lots of data.
 
-As mentioned earlier, it's always a good idea to plot your strategy data. It is usually easier to spot logic/programming errors this way, especially when dealing with lots of data. 
+Now let’s move on with the Strategy & Backtest.
 
-Now let's move on with the Strategy & Backtest. 
-
-.. code:: ipython2
+.. code:: ipython3
 
     ma_cross = bt.Strategy('ma_cross', [WeighTarget(tw),
                                         bt.algos.Rebalance()])
@@ -431,37 +455,35 @@ Now let's move on with the Strategy & Backtest.
     t = bt.Backtest(ma_cross, data)
     res = bt.run(t)
 
+.. code:: ipython3
 
-.. parsed-literal::
-    :class: pynb-result
-
-    ma_cross
-    0%                          100%
-    [############################# ] | ETA: 00:00:00
-
-.. code:: ipython2
+    res.plot();
 
-    res.plot()
 
 
+.. image:: _static/examples-nb_29_0.png
+   :class: pynb
+   :width: 879px
+   :height: 304px
 
-.. image:: _static/examples-nb_27_0.png
-    :class: pynb
 
-
-
-Ok great so there we have our basic moving average crossover strategy. 
+Ok great so there we have our basic moving average crossover strategy.
 
 Exploring the Tree Structure
 ----------------------------
 
-So far, we have explored strategies that allocate capital to securities. But what if we wanted to test a strategy that allocated capital to sub-strategies?
+So far, we have explored strategies that allocate capital to securities.
+But what if we wanted to test a strategy that allocated capital to
+sub-strategies?
 
-The most straightforward way would be to test the different sub-strategies, extract their equity curves and create "synthetic securities" that would basically just represent the returns achieved from allocating capital to the different sub-strategies.
+The most straightforward way would be to test the different
+sub-strategies, extract their equity curves and create “synthetic
+securities” that would basically just represent the returns achieved
+from allocating capital to the different sub-strategies.
 
-Let's see how this looks:
+Let’s see how this looks:
 
-.. code:: ipython2
+.. code:: ipython3
 
     # first let's create a helper function to create a ma cross backtest
     def ma_cross(ticker, start='2010-01-01', 
@@ -506,48 +528,49 @@ Let's see how this looks:
     t = bt.Backtest(s, data)
     res = bt.run(t)
 
+.. code:: ipython3
 
-.. parsed-literal::
-    :class: pynb-result
-
-    aapl_ma_cross
-    0%                          100%
-    [############################# ] | ETA: 00:00:00msft_ma_cross
-    0%                          100%
-    [############################# ] | ETA: 00:00:00s
-    0%                          100%
-    [############################# ] | ETA: 00:00:00
-
-.. code:: ipython2
-
-    res.plot()
+    res.plot();
 
 
 
-.. image:: _static/examples-nb_30_0.png
-    :class: pynb
+.. image:: _static/examples-nb_32_0.png
+   :class: pynb
+   :width: 879px
+   :height: 304px
 
 
-.. code:: ipython2
+.. code:: ipython3
 
-    res.plot_weights()
+    res.plot_weights();
 
 
 
-.. image:: _static/examples-nb_31_0.png
-    :class: pynb
+.. image:: _static/examples-nb_33_0.png
+   :class: pynb
+   :width: 876px
+   :height: 289px
 
 
+As we can see above, the process is a bit more involved, but it works.
+It is not very elegant though, and obtaining security-level allocation
+information is problematic.
 
-As we can see above, the process is a bit more involved, but it works. It is not very elegant though, and obtaining security-level allocation information is problematic. 
+Luckily, bt has built-in functionality for dealing with strategies of
+strategies. It uses the same general principal as demonstrated above but
+does it seamlessly. Basically, when a strategy is a child of another
+strategy, it will create a “paper trade” version of itself internally.
+As we run our strategy, it will run its internal “paper version” and use
+the returns from that strategy to populate the **price** property.
 
-Luckily, bt has built-in functionality for dealing with strategies of strategies. It uses the same general principal as demonstrated above but does it seamlessly. Basically, when a strategy is a child of another strategy, it will create a "paper trade" version of itself internally. As we run our strategy, it will run its internal "paper version" and use the returns from that strategy to populate the **price** property.
-
-This means that the parent strategy can use the price information (which reflects the returns of the strategy had it been employed) to determine the appropriate allocation. Again, this is basically the same process as above, just packed into 1 step.
+This means that the parent strategy can use the price information (which
+reflects the returns of the strategy had it been employed) to determine
+the appropriate allocation. Again, this is basically the same process as
+above, just packed into 1 step.
 
 Perhaps some code will help:
 
-.. code:: ipython2
+.. code:: ipython3
 
     # once again, we will create a few backtests
     # these will be the child strategies
@@ -569,33 +592,28 @@ Perhaps some code will help:
     t = bt.Backtest(s, data)
     res = bt.run(t)
 
+.. code:: ipython3
 
-.. parsed-literal::
-    :class: pynb-result
-
-    s
-    0%                          100%
-    [############################# ] | ETA: 00:00:00
-
-.. code:: ipython2
-
-    res.plot()
-
+    res.plot();
 
 
-.. image:: _static/examples-nb_34_0.png
-    :class: pynb
 
+.. image:: _static/examples-nb_36_0.png
+   :class: pynb
+   :width: 879px
+   :height: 304px
 
-.. code:: ipython2
 
-    res.plot_weights()
+.. code:: ipython3
 
+    res.plot_weights();
 
 
-.. image:: _static/examples-nb_35_0.png
-    :class: pynb
 
+.. image:: _static/examples-nb_37_0.png
+   :class: pynb
+   :width: 888px
+   :height: 289px
 
 
-So there you have it. Simpler, and more complete. 
+So there you have it. Simpler, and more complete.
diff --git a/docs/source/examples.rst b/docs/source/examples.rst
index ad3dc16d..25529242 100644
--- a/docs/source/examples.rst
+++ b/docs/source/examples.rst
@@ -4,3 +4,11 @@ Examples
 Here are a few examples to give you a better idea of what **bt** is all about.
 
 .. include:: examples-nb.rst
+.. include:: Buy_and_Hold.rst
+.. include:: Trend_1.rst
+.. include:: Trend_2.rst
+.. include:: Strategy_Combination.rst
+.. include:: Target_Volatility-nb.rst
+.. include:: ERC.rst
+.. include:: PTE.rst
+.. include:: Fixed_Income.rst
diff --git a/docs/source/install.rst b/docs/source/install.rst
index 6744faae..36bf4ca6 100644
--- a/docs/source/install.rst
+++ b/docs/source/install.rst
@@ -5,18 +5,25 @@ Installing bt
 -------------
 
 The easiest way to install ``bt`` is from the `Python Package Index <https://pypi.python.org/pypi/bt/>`_
-using ``pip`` or ``easy_insatll``:
+using ``pip``:
 
 .. code-block:: bash
 
     $ pip install bt 
 
-Since bt has many dependencies, we strongly recommend installing the `Anaconda Scientific Python
+Since ``bt`` has many dependencies, we strongly recommend installing the `Anaconda Scientific Python
 Distribution <https://store.continuum.io/cshop/anaconda/>`_, especially on Windows. This distribution 
 comes with many of the required packages pre-installed, including pip. Once Anaconda is installed, the above 
 command should complete the installation. 
 
-bt should be compatible with Python 2.7. 
+``bt`` is also available on `Conda Forge <https://conda-forge.org/>`_, and installable via:
+
+.. code-block:: bash
+
+    $ conda install bt --channel conda-forge
+
+
+``bt`` is compatible with Python >=3.7. 
 
 Recommended Setup
 -----------------
diff --git a/docs/source/intro.ipynb b/docs/source/intro.ipynb
index 80476345..d84f7945 100644
--- a/docs/source/intro.ipynb
+++ b/docs/source/intro.ipynb
@@ -2,15 +2,26 @@
  "cells": [
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "metadata": {
-    "collapsed": true
+    "tags": []
    },
    "outputs": [],
    "source": [
     "import bt"
    ]
   },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {
+    "tags": []
+   },
+   "outputs": [],
+   "source": [
+    "%matplotlib inline"
+   ]
+  },
   {
    "cell_type": "raw",
    "metadata": {},
@@ -26,9 +37,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 4,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
@@ -37,18 +51,18 @@
      "text": [
       "                  spy        agg\n",
       "Date                            \n",
-      "2010-01-04  98.214371  84.963075\n",
-      "2010-01-05  98.474354  85.349609\n",
-      "2010-01-06  98.543685  85.300266\n",
-      "2010-01-07  98.959667  85.201575\n",
-      "2010-01-08  99.288981  85.250923\n"
+      "2010-01-04  89.225410  74.942825\n",
+      "2010-01-05  89.461586  75.283791\n",
+      "2010-01-06  89.524574  75.240227\n",
+      "2010-01-07  89.902473  75.153221\n",
+      "2010-01-08  90.201691  75.196724\n"
      ]
     }
    ],
    "source": [
     "# fetch some data\n",
     "data = bt.get('spy,agg', start='2010-01-01')\n",
-    "print data.head()"
+    "print(data.head())"
    ]
   },
   {
@@ -61,9 +75,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 5,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [],
    "source": [
@@ -86,21 +103,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 6,
    "metadata": {
-    "collapsed": false
-   },
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "s1\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00"
-     ]
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
     }
-   ],
+   },
+   "outputs": [],
    "source": [
     "# create a backtest and run it\n",
     "test = bt.Backtest(s, data)\n",
@@ -117,32 +127,44 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 7,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA24AAAE3CAYAAADSTxJxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nYII=\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b3b57fdf4d0>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 304,
+       "width": 879
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
     "# first let's see an equity curve\n",
-    "res.plot()"
+    "res.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
@@ -152,59 +174,59 @@
       "Stat                 s1\n",
       "-------------------  ----------\n",
       "Start                2010-01-03\n",
-      "End                  2017-02-22\n",
+      "End                  2022-07-01\n",
       "Risk-free rate       0.00%\n",
       "\n",
-      "Total Return         81.30%\n",
-      "Daily Sharpe         1.19\n",
-      "Daily Sortino        1.57\n",
-      "CAGR                 8.69%\n",
-      "Max Drawdown         -7.83%\n",
-      "Calmar Ratio         1.11\n",
+      "Total Return         150.73%\n",
+      "Daily Sharpe         0.90\n",
+      "Daily Sortino        1.35\n",
+      "CAGR                 7.64%\n",
+      "Max Drawdown         -18.42%\n",
+      "Calmar Ratio         0.41\n",
       "\n",
-      "MTD                  2.08%\n",
-      "3m                   4.08%\n",
-      "6m                   3.26%\n",
-      "YTD                  3.11%\n",
-      "1Y                   12.04%\n",
-      "3Y (ann.)            6.82%\n",
-      "5Y (ann.)            8.12%\n",
-      "10Y (ann.)           8.69%\n",
-      "Since Incep. (ann.)  8.69%\n",
+      "MTD                  0.18%\n",
+      "3m                   -10.33%\n",
+      "6m                   -14.84%\n",
+      "YTD                  -14.84%\n",
+      "1Y                   -10.15%\n",
+      "3Y (ann.)            5.12%\n",
+      "5Y (ann.)            6.44%\n",
+      "10Y (ann.)           7.36%\n",
+      "Since Incep. (ann.)  7.64%\n",
       "\n",
-      "Daily Sharpe         1.19\n",
-      "Daily Sortino        1.57\n",
-      "Daily Mean (ann.)    8.61%\n",
-      "Daily Vol (ann.)     7.23%\n",
-      "Daily Skew           -0.35\n",
-      "Daily Kurt           3.80\n",
-      "Best Day             2.48%\n",
-      "Worst Day            -3.11%\n",
+      "Daily Sharpe         0.90\n",
+      "Daily Sortino        1.35\n",
+      "Daily Mean (ann.)    7.74%\n",
+      "Daily Vol (ann.)     8.62%\n",
+      "Daily Skew           -0.98\n",
+      "Daily Kurt           16.56\n",
+      "Best Day             4.77%\n",
+      "Worst Day            -6.63%\n",
       "\n",
-      "Monthly Sharpe       1.41\n",
-      "Monthly Sortino      2.61\n",
-      "Monthly Mean (ann.)  8.61%\n",
-      "Monthly Vol (ann.)   6.10%\n",
-      "Monthly Skew         0.01\n",
-      "Monthly Kurt         0.18\n",
-      "Best Month           5.69%\n",
-      "Worst Month          -3.39%\n",
+      "Monthly Sharpe       1.06\n",
+      "Monthly Sortino      1.91\n",
+      "Monthly Mean (ann.)  7.81%\n",
+      "Monthly Vol (ann.)   7.36%\n",
+      "Monthly Skew         -0.39\n",
+      "Monthly Kurt         1.59\n",
+      "Best Month           7.57%\n",
+      "Worst Month          -6.44%\n",
       "\n",
-      "Yearly Sharpe        1.62\n",
-      "Yearly Sortino       -\n",
-      "Yearly Mean          7.25%\n",
-      "Yearly Vol           4.46%\n",
-      "Yearly Skew          0.15\n",
-      "Yearly Kurt          -0.71\n",
-      "Best Year            14.10%\n",
-      "Worst Year           1.17%\n",
+      "Yearly Sharpe        0.81\n",
+      "Yearly Sortino       1.75\n",
+      "Yearly Mean          7.48%\n",
+      "Yearly Vol           9.17%\n",
+      "Yearly Skew          -1.34\n",
+      "Yearly Kurt          2.28\n",
+      "Best Year            19.64%\n",
+      "Worst Year           -14.84%\n",
       "\n",
-      "Avg. Drawdown        -0.79%\n",
-      "Avg. Drawdown Days   13.31\n",
-      "Avg. Up Month        1.64%\n",
-      "Avg. Down Month      -1.27%\n",
-      "Win Year %           100.00%\n",
-      "Win 12m %            96.00%\n"
+      "Avg. Drawdown        -0.84%\n",
+      "Avg. Drawdown Days   13.23\n",
+      "Avg. Up Month        1.70%\n",
+      "Avg. Down Month      -1.80%\n",
+      "Win Year %           83.33%\n",
+      "Win 12m %            93.57%\n"
      ]
     }
    ],
@@ -215,19 +237,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 9,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA4sAAAFHCAYAAAAIptmFAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\nEhERERERkY//ASlyL6EoDCz4AAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b3b5ab36510>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 320,
+       "width": 894
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -238,19 +269,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 10,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA2sAAAEsCAYAAABddyttAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\ngg==\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b3b5af30290>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 293,
+       "width": 876
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -272,28 +312,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 11,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "s2\n",
-      "0%                          100%\n",
-      "[############################# ] | ETA: 00:00:00"
-     ]
-    },
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA24AAAE3CAYAAADSTxJxAAAABHNCSVQICAgIfAhkiAAAAAlwSFlz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\n",
+      "image/png": "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\n",
       "text/plain": [
-       "<matplotlib.figure.Figure at 0x2b3b5af64f90>"
+       "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 304,
+       "width": 879
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -309,14 +349,17 @@
     "# we include test here to see the results side-by-side\n",
     "res2 = bt.run(test, test2)\n",
     "\n",
-    "res2.plot()"
+    "res2.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 12,
    "metadata": {
-    "collapsed": false
+    "collapsed": false,
+    "jupyter": {
+     "outputs_hidden": false
+    }
    },
    "outputs": [
     {
@@ -326,59 +369,59 @@
       "Stat                 s1          s2\n",
       "-------------------  ----------  ----------\n",
       "Start                2010-01-03  2010-01-03\n",
-      "End                  2017-02-22  2017-02-22\n",
+      "End                  2022-07-01  2022-07-01\n",
       "Risk-free rate       0.00%       0.00%\n",
       "\n",
-      "Total Return         81.30%      40.79%\n",
-      "Daily Sharpe         1.19        1.45\n",
-      "Daily Sortino        1.57        2.00\n",
-      "CAGR                 8.69%       4.91%\n",
-      "Max Drawdown         -7.83%      -4.07%\n",
-      "Calmar Ratio         1.11        1.21\n",
+      "Total Return         150.73%     69.58%\n",
+      "Daily Sharpe         0.90        0.96\n",
+      "Daily Sortino        1.35        1.41\n",
+      "CAGR                 7.64%       4.32%\n",
+      "Max Drawdown         -18.42%     -14.62%\n",
+      "Calmar Ratio         0.41        0.30\n",
       "\n",
-      "MTD                  2.08%       1.56%\n",
-      "3m                   4.08%       2.66%\n",
-      "6m                   3.26%       0.47%\n",
-      "YTD                  3.11%       2.27%\n",
-      "1Y                   12.04%      5.49%\n",
-      "3Y (ann.)            6.82%       3.97%\n",
-      "5Y (ann.)            8.12%       4.02%\n",
-      "10Y (ann.)           8.69%       4.91%\n",
-      "Since Incep. (ann.)  8.69%       4.91%\n",
+      "MTD                  0.18%       0.38%\n",
+      "3m                   -10.33%     -6.88%\n",
+      "6m                   -14.84%     -12.00%\n",
+      "YTD                  -14.84%     -12.00%\n",
+      "1Y                   -10.15%     -10.03%\n",
+      "3Y (ann.)            5.12%       1.84%\n",
+      "5Y (ann.)            6.44%       3.35%\n",
+      "10Y (ann.)           7.36%       3.76%\n",
+      "Since Incep. (ann.)  7.64%       4.32%\n",
       "\n",
-      "Daily Sharpe         1.19        1.45\n",
-      "Daily Sortino        1.57        2.00\n",
-      "Daily Mean (ann.)    8.61%       4.85%\n",
-      "Daily Vol (ann.)     7.23%       3.34%\n",
-      "Daily Skew           -0.35       -0.29\n",
-      "Daily Kurt           3.80        2.87\n",
-      "Best Day             2.48%       1.20%\n",
-      "Worst Day            -3.11%      -1.13%\n",
+      "Daily Sharpe         0.90        0.96\n",
+      "Daily Sortino        1.35        1.41\n",
+      "Daily Mean (ann.)    7.74%       4.33%\n",
+      "Daily Vol (ann.)     8.62%       4.50%\n",
+      "Daily Skew           -0.98       -2.21\n",
+      "Daily Kurt           16.56       46.12\n",
+      "Best Day             4.77%       2.84%\n",
+      "Worst Day            -6.63%      -4.66%\n",
       "\n",
-      "Monthly Sharpe       1.41        1.68\n",
-      "Monthly Sortino      2.61        2.61\n",
-      "Monthly Mean (ann.)  8.61%       5.04%\n",
-      "Monthly Vol (ann.)   6.10%       3.00%\n",
-      "Monthly Skew         0.01        -0.59\n",
-      "Monthly Kurt         0.18        0.03\n",
-      "Best Month           5.69%       1.91%\n",
-      "Worst Month          -3.39%      -2.09%\n",
+      "Monthly Sharpe       1.06        1.13\n",
+      "Monthly Sortino      1.91        1.87\n",
+      "Monthly Mean (ann.)  7.81%       4.40%\n",
+      "Monthly Vol (ann.)   7.36%       3.89%\n",
+      "Monthly Skew         -0.39       -1.06\n",
+      "Monthly Kurt         1.59        3.92\n",
+      "Best Month           7.57%       4.05%\n",
+      "Worst Month          -6.44%      -5.04%\n",
       "\n",
-      "Yearly Sharpe        1.62        1.61\n",
-      "Yearly Sortino       -           -\n",
-      "Yearly Mean          7.25%       4.08%\n",
-      "Yearly Vol           4.46%       2.53%\n",
-      "Yearly Skew          0.15        -0.45\n",
-      "Yearly Kurt          -0.71       -0.03\n",
-      "Best Year            14.10%      7.02%\n",
-      "Worst Year           1.17%       -0.13%\n",
+      "Yearly Sharpe        0.81        0.65\n",
+      "Yearly Sortino       1.75        1.19\n",
+      "Yearly Mean          7.48%       4.13%\n",
+      "Yearly Vol           9.17%       6.31%\n",
+      "Yearly Skew          -1.34       -1.48\n",
+      "Yearly Kurt          2.28        3.37\n",
+      "Best Year            19.64%      11.71%\n",
+      "Worst Year           -14.84%     -12.00%\n",
       "\n",
-      "Avg. Drawdown        -0.79%      -0.40%\n",
-      "Avg. Drawdown Days   13.31       13.28\n",
-      "Avg. Up Month        1.64%       0.83%\n",
-      "Avg. Down Month      -1.27%      -0.69%\n",
-      "Win Year %           100.00%     85.71%\n",
-      "Win 12m %            96.00%      94.67%\n"
+      "Avg. Drawdown        -0.84%      -0.48%\n",
+      "Avg. Drawdown Days   13.23       13.68\n",
+      "Avg. Up Month        1.70%       0.90%\n",
+      "Avg. Down Month      -1.80%      -0.93%\n",
+      "Win Year %           83.33%      83.33%\n",
+      "Win 12m %            93.57%      91.43%\n"
      ]
     }
    ],
@@ -390,23 +433,23 @@
  "metadata": {
   "celltoolbar": "Raw Cell Format",
   "kernelspec": {
-   "display_name": "Python 2",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
-   "name": "python2"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
     "name": "ipython",
-    "version": 2
+    "version": 3
    },
    "file_extension": ".py",
    "mimetype": "text/x-python",
    "name": "python",
    "nbconvert_exporter": "python",
-   "pygments_lexer": "ipython2",
-   "version": "2.7.11"
+   "pygments_lexer": "ipython3",
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 0
+ "nbformat_minor": 4
 }
diff --git a/docs/source/intro.rst b/docs/source/intro.rst
index 71a7f4d0..c1b7e0b2 100644
--- a/docs/source/intro.rst
+++ b/docs/source/intro.rst
@@ -1,7 +1,11 @@
-.. code:: ipython2
+.. code:: ipython3
 
     import bt
 
+.. code:: ipython3
+
+    %matplotlib inline
+
 
 A Simple Strategy Backtest
 ~~~~~~~~~~~~~~~~~~~~~~~~~~
@@ -10,29 +14,29 @@ Let's create a simple strategy. We will create a monthly rebalanced, long-only s
 
 First, we will download some data. By default, :func:`bt.get (alias for ffn.get) <ffn.data.get>` downloads the Adjusted Close from Yahoo! Finance. We will download some data starting on January 1, 2010 for the purposes of this demo.
 
-.. code:: ipython2
+.. code:: ipython3
 
     # fetch some data
     data = bt.get('spy,agg', start='2010-01-01')
-    print data.head()
+    print(data.head())
 
 
 .. parsed-literal::
-    :class: pynb-result
+   :class: pynb-result
 
                       spy        agg
     Date                            
-    2010-01-04  98.214371  84.963075
-    2010-01-05  98.474354  85.349609
-    2010-01-06  98.543685  85.300266
-    2010-01-07  98.959667  85.201575
-    2010-01-08  99.288981  85.250923
+    2010-01-04  89.225410  74.942825
+    2010-01-05  89.461586  75.283791
+    2010-01-06  89.524574  75.240227
+    2010-01-07  89.902473  75.153221
+    2010-01-08  90.201691  75.196724
 
 
 
 Once we have our data, we will create our strategy. The :class:`Strategy <bt.core.Strategy>` object contains the strategy logic by combining various :class:`Algos <bt.core.Algo>`. 
 
-.. code:: ipython2
+.. code:: ipython3
 
     # create the strategy
     s = bt.Strategy('s1', [bt.algos.RunMonthly(),
@@ -45,121 +49,119 @@ Finally, we will create a :class:`Backtest <bt.backtest.Backtest>`, which is the
 
 Once this is done, we can run the backtest and analyze the results.
 
-.. code:: ipython2
+.. code:: ipython3
 
     # create a backtest and run it
     test = bt.Backtest(s, data)
     res = bt.run(test)
 
 
-.. parsed-literal::
-    :class: pynb-result
-
-    s1
-    0%                          100%
-    [############################# ] | ETA: 00:00:00
-
-
 Now we can analyze the results of our backtest. The :class:`Result <bt.backtest.Result>` object is a thin wrapper around `ffn.GroupStats <http://pmorissette.github.io/ffn/ffn.html#ffn.core.GroupStats>`__ that adds some helper methods.
 
-.. code:: ipython2
+.. code:: ipython3
 
     # first let's see an equity curve
-    res.plot()
+    res.plot();
 
 
 
-.. image:: _static/intro_8_0.png
-    :class: pynb
+.. image:: _static/intro_9_0.png
+   :class: pynb
+   :width: 879px
+   :height: 304px
 
 
-.. code:: ipython2
+.. code:: ipython3
 
     # ok and what about some stats?
     res.display()
 
 
 .. parsed-literal::
-    :class: pynb-result
+   :class: pynb-result
 
     Stat                 s1
     -------------------  ----------
     Start                2010-01-03
-    End                  2017-02-22
+    End                  2022-07-01
     Risk-free rate       0.00%
     
-    Total Return         81.30%
-    Daily Sharpe         1.19
-    Daily Sortino        1.57
-    CAGR                 8.69%
-    Max Drawdown         -7.83%
-    Calmar Ratio         1.11
+    Total Return         150.73%
+    Daily Sharpe         0.90
+    Daily Sortino        1.35
+    CAGR                 7.64%
+    Max Drawdown         -18.42%
+    Calmar Ratio         0.41
     
-    MTD                  2.08%
-    3m                   4.08%
-    6m                   3.26%
-    YTD                  3.11%
-    1Y                   12.04%
-    3Y (ann.)            6.82%
-    5Y (ann.)            8.12%
-    10Y (ann.)           8.69%
-    Since Incep. (ann.)  8.69%
+    MTD                  0.18%
+    3m                   -10.33%
+    6m                   -14.84%
+    YTD                  -14.84%
+    1Y                   -10.15%
+    3Y (ann.)            5.12%
+    5Y (ann.)            6.44%
+    10Y (ann.)           7.36%
+    Since Incep. (ann.)  7.64%
     
-    Daily Sharpe         1.19
-    Daily Sortino        1.57
-    Daily Mean (ann.)    8.61%
-    Daily Vol (ann.)     7.23%
-    Daily Skew           -0.35
-    Daily Kurt           3.80
-    Best Day             2.48%
-    Worst Day            -3.11%
+    Daily Sharpe         0.90
+    Daily Sortino        1.35
+    Daily Mean (ann.)    7.74%
+    Daily Vol (ann.)     8.62%
+    Daily Skew           -0.98
+    Daily Kurt           16.56
+    Best Day             4.77%
+    Worst Day            -6.63%
     
-    Monthly Sharpe       1.41
-    Monthly Sortino      2.61
-    Monthly Mean (ann.)  8.61%
-    Monthly Vol (ann.)   6.10%
-    Monthly Skew         0.01
-    Monthly Kurt         0.18
-    Best Month           5.69%
-    Worst Month          -3.39%
+    Monthly Sharpe       1.06
+    Monthly Sortino      1.91
+    Monthly Mean (ann.)  7.81%
+    Monthly Vol (ann.)   7.36%
+    Monthly Skew         -0.39
+    Monthly Kurt         1.59
+    Best Month           7.57%
+    Worst Month          -6.44%
     
-    Yearly Sharpe        1.62
-    Yearly Sortino       -
-    Yearly Mean          7.25%
-    Yearly Vol           4.46%
-    Yearly Skew          0.15
-    Yearly Kurt          -0.71
-    Best Year            14.10%
-    Worst Year           1.17%
+    Yearly Sharpe        0.81
+    Yearly Sortino       1.75
+    Yearly Mean          7.48%
+    Yearly Vol           9.17%
+    Yearly Skew          -1.34
+    Yearly Kurt          2.28
+    Best Year            19.64%
+    Worst Year           -14.84%
     
-    Avg. Drawdown        -0.79%
-    Avg. Drawdown Days   13.31
-    Avg. Up Month        1.64%
-    Avg. Down Month      -1.27%
-    Win Year %           100.00%
-    Win 12m %            96.00%
+    Avg. Drawdown        -0.84%
+    Avg. Drawdown Days   13.23
+    Avg. Up Month        1.70%
+    Avg. Down Month      -1.80%
+    Win Year %           83.33%
+    Win 12m %            93.57%
 
 
-.. code:: ipython2
+.. code:: ipython3
 
     # ok and how does the return distribution look like?
     res.plot_histogram()
 
 
 
-.. image:: _static/intro_10_0.png
-    :class: pynb
+.. image:: _static/intro_11_0.png
+   :class: pynb
+   :width: 894px
+   :height: 320px
 
 
-.. code:: ipython2
+.. code:: ipython3
 
     # and just to make sure everything went along as planned, let's plot the security weights over time
     res.plot_security_weights()
 
 
 
-.. image:: _static/intro_11_0.png
-    :class: pynb
+.. image:: _static/intro_12_0.png
+   :class: pynb
+   :width: 876px
+   :height: 293px
 
 
 
@@ -168,7 +170,7 @@ Modifying a Strategy
 
 Now what if we ran this strategy weekly and also used some risk parity style approach by using weights that are proportional to the inverse of each asset's volatility? Well, all we have to do is plug in some different algos. See below:
 
-.. code:: ipython2
+.. code:: ipython3
 
     # create our new strategy
     s2 = bt.Strategy('s2', [bt.algos.RunWeekly(),
@@ -181,83 +183,78 @@ Now what if we ran this strategy weekly and also used some risk parity style app
     # we include test here to see the results side-by-side
     res2 = bt.run(test, test2)
     
-    res2.plot()
-
-
-.. parsed-literal::
-    :class: pynb-result
+    res2.plot();
 
-    s2
-    0%                          100%
-    [############################# ] | ETA: 00:00:00
 
 
-.. image:: _static/intro_13_1.png
-    :class: pynb
+.. image:: _static/intro_14_0.png
+   :class: pynb
+   :width: 879px
+   :height: 304px
 
 
-.. code:: ipython2
+.. code:: ipython3
 
     res2.display()
 
 
 .. parsed-literal::
-    :class: pynb-result
+   :class: pynb-result
 
     Stat                 s1          s2
     -------------------  ----------  ----------
     Start                2010-01-03  2010-01-03
-    End                  2017-02-22  2017-02-22
+    End                  2022-07-01  2022-07-01
     Risk-free rate       0.00%       0.00%
     
-    Total Return         81.30%      40.79%
-    Daily Sharpe         1.19        1.45
-    Daily Sortino        1.57        2.00
-    CAGR                 8.69%       4.91%
-    Max Drawdown         -7.83%      -4.07%
-    Calmar Ratio         1.11        1.21
+    Total Return         150.73%     69.58%
+    Daily Sharpe         0.90        0.96
+    Daily Sortino        1.35        1.41
+    CAGR                 7.64%       4.32%
+    Max Drawdown         -18.42%     -14.62%
+    Calmar Ratio         0.41        0.30
     
-    MTD                  2.08%       1.56%
-    3m                   4.08%       2.66%
-    6m                   3.26%       0.47%
-    YTD                  3.11%       2.27%
-    1Y                   12.04%      5.49%
-    3Y (ann.)            6.82%       3.97%
-    5Y (ann.)            8.12%       4.02%
-    10Y (ann.)           8.69%       4.91%
-    Since Incep. (ann.)  8.69%       4.91%
+    MTD                  0.18%       0.38%
+    3m                   -10.33%     -6.88%
+    6m                   -14.84%     -12.00%
+    YTD                  -14.84%     -12.00%
+    1Y                   -10.15%     -10.03%
+    3Y (ann.)            5.12%       1.84%
+    5Y (ann.)            6.44%       3.35%
+    10Y (ann.)           7.36%       3.76%
+    Since Incep. (ann.)  7.64%       4.32%
     
-    Daily Sharpe         1.19        1.45
-    Daily Sortino        1.57        2.00
-    Daily Mean (ann.)    8.61%       4.85%
-    Daily Vol (ann.)     7.23%       3.34%
-    Daily Skew           -0.35       -0.29
-    Daily Kurt           3.80        2.87
-    Best Day             2.48%       1.20%
-    Worst Day            -3.11%      -1.13%
+    Daily Sharpe         0.90        0.96
+    Daily Sortino        1.35        1.41
+    Daily Mean (ann.)    7.74%       4.33%
+    Daily Vol (ann.)     8.62%       4.50%
+    Daily Skew           -0.98       -2.21
+    Daily Kurt           16.56       46.12
+    Best Day             4.77%       2.84%
+    Worst Day            -6.63%      -4.66%
     
-    Monthly Sharpe       1.41        1.68
-    Monthly Sortino      2.61        2.61
-    Monthly Mean (ann.)  8.61%       5.04%
-    Monthly Vol (ann.)   6.10%       3.00%
-    Monthly Skew         0.01        -0.59
-    Monthly Kurt         0.18        0.03
-    Best Month           5.69%       1.91%
-    Worst Month          -3.39%      -2.09%
+    Monthly Sharpe       1.06        1.13
+    Monthly Sortino      1.91        1.87
+    Monthly Mean (ann.)  7.81%       4.40%
+    Monthly Vol (ann.)   7.36%       3.89%
+    Monthly Skew         -0.39       -1.06
+    Monthly Kurt         1.59        3.92
+    Best Month           7.57%       4.05%
+    Worst Month          -6.44%      -5.04%
     
-    Yearly Sharpe        1.62        1.61
-    Yearly Sortino       -           -
-    Yearly Mean          7.25%       4.08%
-    Yearly Vol           4.46%       2.53%
-    Yearly Skew          0.15        -0.45
-    Yearly Kurt          -0.71       -0.03
-    Best Year            14.10%      7.02%
-    Worst Year           1.17%       -0.13%
+    Yearly Sharpe        0.81        0.65
+    Yearly Sortino       1.75        1.19
+    Yearly Mean          7.48%       4.13%
+    Yearly Vol           9.17%       6.31%
+    Yearly Skew          -1.34       -1.48
+    Yearly Kurt          2.28        3.37
+    Best Year            19.64%      11.71%
+    Worst Year           -14.84%     -12.00%
     
-    Avg. Drawdown        -0.79%      -0.40%
-    Avg. Drawdown Days   13.31       13.28
-    Avg. Up Month        1.64%       0.83%
-    Avg. Down Month      -1.27%      -0.69%
-    Win Year %           100.00%     85.71%
-    Win 12m %            96.00%      94.67%
+    Avg. Drawdown        -0.84%      -0.48%
+    Avg. Drawdown Days   13.23       13.68
+    Avg. Up Month        1.70%       0.90%
+    Avg. Down Month      -1.80%      -0.93%
+    Win Year %           83.33%      83.33%
+    Win 12m %            93.57%      91.43%
 
diff --git a/examples/ERC.ipynb b/examples/ERC.ipynb
index 8a418d1b..d7242da0 100644
--- a/examples/ERC.ipynb
+++ b/examples/ERC.ipynb
@@ -1,10 +1,19 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {
+    "tags": []
+   },
+   "source": [
+    "## Equally Weighted Risk Contributions Portfolio "
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 18,
    "metadata": {
-    "collapsed": true
+    "tags": []
    },
    "outputs": [],
    "source": [
@@ -12,14 +21,7 @@
     "import pandas as pd\n",
     "import matplotlib.pyplot as plt\n",
     "\n",
-    "\n",
-    "\n",
-    "#using this import until pip is updated to have the version of bt with the targetVol algo\n",
-    "# you will need to change this be wherever your local version of bt is located.\n",
-    "import sys\n",
-    "sys.path.insert(0, \"C:\\\\Users\\JPL09A\\\\Documents\\\\Code\\\\pmorissette\\\\ffn\\\\\")\n",
     "import ffn\n",
-    "sys.path.insert(0, \"C:\\\\Users\\JPL09A\\\\Documents\\\\Code\\\\pmorissette\\\\bt\\\\\")\n",
     "import bt\n",
     "\n",
     "%matplotlib inline"
@@ -34,7 +36,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
@@ -44,7 +46,7 @@
        "       [9.92063492e-06, 9.92063492e-06]])"
       ]
      },
-     "execution_count": 2,
+     "execution_count": 19,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -69,27 +71,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x23b37fdbb00>"
-      ]
-     },
-     "execution_count": 3,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 262,
+       "width": 377
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -108,7 +106,7 @@
     "rdf['rf'] = 0.02/252\n",
     "\n",
     "pdf = 100*np.cumprod(1+rdf)\n",
-    "pdf.plot()"
+    "pdf.plot();"
    ]
   },
   {
@@ -123,26 +121,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 22,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "ERC\n",
-      "0% [############################# ] 100% | ETA: 00:00:00"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\Users\\JPL09A\\Documents\\Code\\pmorissette\\ffn\\ffn\\core.py:2153: RuntimeWarning: divide by zero encountered in true_divide\n",
-      "  res = np.divide(er.mean(), std)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "runAfterDaysAlgo = bt.algos.RunAfterDays(\n",
     "    20*6 + 1\n",
@@ -184,87 +165,75 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x23b35f43198>"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD8CAYAAACMwORRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3Xd8VFXi/vHPSSOFhEBCJxCQ3qR3EREFK3bsrA3UZdeyrj9dv2th3bX3XXVZO7q6Lir2DuhiQYqAVEFqqEmAQBLSyPn9cSaVkITMhLmMz/v1Cpm5c+fMuZebZ84959wZY61FRERCS1iwKyAiIoGncBcRCUEKdxGREKRwFxEJQQp3EZEQpHAXEQlBCncRkRCkcBcRCUEKdxGREBQRrBdOTk62qampwXp5EZGj0sKFCzOstU1rWi9o4Z6amsqCBQuC9fIiIkclY8zG2qynbhkRkRCkcBcRCUEKdxGREKRwFxEJQQp3EZEQpHAXEQlBCncRkRCkcBcJkOJiy7uLtzB3TUawqyISvIuYRLzsp7QsfvPiD6Q0ieXZS/vTolF0tet/vmIH//zqFxZs3A3ARYPaEhcVzq3juhIeZnhrURppu3K5+eQuR6L64hF5hQd44JNVJMZEcWafVny6fDujuzajc/P4en9tE6wvyB4wYIDVFariRd+uzeDi5+ZVWNapWUNGd23GsSmJjOnWnMhwgzGGD5duo3FcJFe8OJ/8omLaNI5h5958Cg4UA9AiIZq+bRP5eNn2CuU9cWEfxvdpfcS2SQJrd04BjeOiDlq+bEsWHyzdxvTvNnBC12Z8sHTbQetEhhs+v+l4UpPj6vTaxpiF1toBNa6ncBeBvXmFGCCvsJiBf/0CgNaJMWzZs7/K9aPCw0oDvMSD5/XmggEp5BYUkZ1XxPWvLSptyY/q0pQ5q9MrrL/+vlMxxgR+Y6RezV61kytems+dp3fnhK7NaJ8cx/asPP5v5jK+WLnjoPWvGtGeZvEN+HzFDlKT43hrURp3nNqNq4/rUKfXV7gfxYqLLbtzC0hq2IC8wgOs3r6POavTmXx8B9J257Jw427O7tuGqAgNmQTK+L/PZUlaFsOOSeLbXzL5z6QhDO6QxPqMHF79fiMXD27Loo27+eOMpQc9t3vLBC4d0o4LBrQhIrzs/+SX9GxOfOQr/nx6d64a0R5w/7eXPDeP79ZlAmVvCFXJzM6n8ICtsUtI6sf6jBwA2pdrYVtrOfmxr1mzM7t02YtXDOSFuev5n2+s5YkL+xBmDLtzC4iPjuCsPq0rvIlvysylbVJsnesV0HA3xowDngDCgeestfdXerwt8DKQ6FvnNmvtR9WV+WsP9z25BXyxcidn9WlVIRAys/M5/am5bMvKo3PzhmRmF5CZU3DQ88/q04qpZ/UkITrySFb7iMvJLyKuQf0ODVlraX972eE6umszXvjNwEOun51fxIdLtxITFcGQDk1oFn/o8C08UExkeMU34YKiYi5/YR7fr9sFwDFN44iNiiA2KpwXrxhIsYXc/CIG/e1LAH6448RqXyMU5BYU8fgXa/hgyVaOTUlk5ba93DCmE2f3bXNY5Tz6+c+kNI5hbM8WRIaFsXL7XrLzimiVGEPHZg2rfM7OvXk8OWsNZ/Ruxb68It5csJmLB7flulcXsb/wAL8b3ZFuLRM4qXtzNmTkcNJjX9O2SSxhBjZk5lYo69ZxXbju+GPq9YwsYOFujAkHfgZOAtKA+cBF1toV5daZBvxorX3GGNMd+Mham1pdub/WcC/Z31e8NJ85q9NpnxzHtMv60yw+mrgG4ZzzzLcsTcuqtozE2Ej25BZWuD+6SzN+2pLFH8d24eQeLap8Xvq+fO55fzntkmK5aUznCm8qR8rizXt46Zv1zFy8lUsGt+Xes3pijOGbtRnsyS2kdeMYEmMiCQ8z3DFzGV//nM4HvxtB0/gGNE8oC7iPftrGks17+OfX6xiU2oQ3rx1aq9dfuHEXLRrFEBlumLduF8OOSWLo/bMoKHJdLMemJPL8xAEkN2xQL9tf3rItWZz+1NwKy8b1aMEnyyv2z8dHRzD/jjFER4bXe52CIX1ffmlXWGWvXjWY4R2TSsMyMzufP85Yyum9W3JOPxf8uQVFNIgI5z/zN/Ond36qspyGDSJ44NzenNa75UGP3f72T7z+wyZaNopmW1Zerer8xc0j6dgsnqz9hTw9Zy3FxZbJxx9zRI6bQIb7UOBua+1Y3/3bAay195Vb55/AOmvtA771H7HWDquu3F9ruI//xzes2JpF4YGD93uH5DjWZeSQmhTLa9cMYeaPWyg8UEzDBhF0bZFAZk4+8dERjOrcjG9+yeDT5duZszqdtN1l/cKjujTl/nN6k5mTT5vGsTSKKWvZv/jNeu55370nP3z+sZzX//BaRf7Iyi3kg5+2csc7yyosnzi0HRnZBXz4U9nAU3x0BGN7tGDGwrQK6/5xrGsVLd+6lzP+XjEUh3ZI4sUrBhIdGc4f3lxCbkER94zvQUxkOIs372FEx2Q2ZuYy6uE5tGwUzcDUJry3ZGuFMtb97VTCwo5sH/hny7ezZmc2XZrHc/UrZX8PfdsmcuaxrVi9fR9vzN8MwAe/G0HP1o0C9tof/7SN8DDDcZ2aEhMVvDeOJ79cw6Of/8zpvVty3ahjiAgLIzLccP6z35GZU8CIjsm0S4rlpO7Nyc4vYsq/fwQguWEDMrLzDyovKS6KlCaxtEuKpVViDM3jG/CfBWms3LaXNycPZVD7JhXWH/3IHNal55Teb9ggguz8Ii4e3JYOyXFs3pXL9O83Uuz7kz02JZF3rht2xI+VEoEM9/OAcdbaq333LwMGW2unlFunJfAZ0BiIA8ZYaxdWV26ohbu1lsIDttp+8Nd/2MTtb7uWxYB2jXl+4kC+W5fJzn153PnucgAiwgzz7xhT5Uh8VYqLLQUHiknfl891ry1k2Za9FR4/49hWvL9kK41jI9ldrrU/7Jgk/n3NkMPdzDq5dcYS3lxQMajfum4Y5z7zbbXPa50YQ8MGEazesa/Kx9slxTK0Q1Jp+L19/TB6tW5Epzs+BuDK4e2Zuzadn3dk06FpHON6tODpOb9UWda8P51Y4cwgGPKLDvCf+ZtJTYpjZGf3XQyFB4pLt6djs4Z8cfPxAXmtjOx8BtxbsbX894v7cnrvVhQUFR/2eE5xseXT5dvp0LQhXVrUbprfzr15PPbFGl7/YRMJ0RH8eOfJhJcLzOpa9D1aJbB8696Dli/4vzFVtp7nrctkwrTvAddImDAwheSGDXh38RZueGMxt47rQnx0JOl78zipewtmrdrJZUPb0cT3d5i1v5Bj7/mMK4ancvsp3YI63hXIcD8fGFsp3AdZa39Xbp2bfWU94mu5Pw/0tNYWVyprEjAJoG3btv03bqzVZ857XnGxZezjbpBl6vgeXDSoLRFhhqdmrSUnv4jzB7ShUUxU6YH6yY3H0aV5fIV+uZJW9fg+rXjiwr51qsfVLy+oMFrfPKEBO/ZWbNl0ataQE7s159mvfiG5YQN+e8IxXDG8fZ1erzZKZhYAHNumEd1bJfDn07sTGxXBT2lZPPbFz1wwIIVxPVuwavtelqZlsTEzh/nrd3PdqGNoHBfFi9+sp1vLBFZt28vMxa61/ZfxPbhsaCpZ+ws5++lvKrS8anL7KV15/YdNDO+YzPUndCTcGE8PWqbvy+epWWt45buNzLh2KANSm9T8pEOYtWoHT3y5liWb91T5+NUj2vPc3PWkJsXy5uShNPO94f1vTTqTXlnIM5f2Y1SXZoCbYZSVW8jctRmljRY4+Azo45+2sS4jh6tGtK/QtXTHOz/x2rxNANw0pjM3jOl0UH127M3jnveXkxAdWfom3rl5Q96bMoLMnAJaJ8YAbpCycVwk8dWMQQ2493MyssvGr8rPhvrmttGlZR2KtdYTs5uOdLfMclzrfrPv/jpgiLV256HKDZWW+zs/pvHveZuYv2H3IdeJCDO0TIxm8679vHzlII7vfPA3ZBUXW1Zs20u7pNhqD9DqpO/LZ2NmDsc0bcjqHfsY0iGJ7PwiftmZTavEGDbtyqVpwwbszSus0Ne74f7TalV+QVExq7fv45Pl27hsSGqNgZiTX0SPuz4F4NELji3tI/XHWwvT6N4qgW4tEyosf37uemav2smStD20ahTDpJEd+MN/lwDwwLm9+L+Zy0q7wmq7vV6ydc9+ht0/q/RN7XDkFhSRnV/Etj15jP/HN6XLp13Wn4hwg8Hw4rcb+PrnilM1bxzTifMHpJAUF8WYR78ibfd+LhrkWrzvL9l60GBiiSkndOSbXzI4v38KcQ3CueGNxaWPPX1JPwyQEBPJw5+t5sdNe5g6vgeXDm5XYzfH5yt28NK36/nz6d3p2iKh2nWrsnlXLnPXZvD2ojRy8g+wYptr+Qe6u6u+BTLcI3ADqicCW3ADqhdba5eXW+dj4D/W2peMMd2AL4HWtprCQyXcRz00m+z8Isb2aMFNJ3Xm+3WZzF6VTlFxMY1jozi5e3Pu+3gVP23JolFMJLNvGVV6qhdMP27azdlPu26RSSM7cNu4rtX+cVlrOf2puaWnwuP7tKJDckMmDEw5ZMhv3pXLcQ/OpnvLBD78/Ygj2uqx1jLt63Us3ZLFPy7uR25BEd3v/JRrjz+G207pesTqESgHii3H/MnN6Jk6vgcTBqbQIOLgfvJdOQXMXrWTQe2bMGf1TgZ3SOJvH608aI79ZzeNrHCVZMmbB7iW96iH57BpV9XhDe7irO17ywYfJw5tx7COyUyeXm1v7EEuH9qOqeN7HtZzAuW9JVuZty6Tv57dKyivX1eBngp5KvA4bprjC9bavxpjpgILrLXv+WbI/AtoCFjgVmvtZ9WVGSrhfvxDs+mbksjj1XSl5BUe4Lt1mQztkOSpGQ9/nrmM6d+7rrGLBrXlvnMqHuR5hQf4+ud0lm3JwhjDE1+uAQ7u7ilpTRYdKCY8zJSGeMlskH9e1p+xh5jBcyTlFR7w1P4/XFe+NJ9Zq8pOho9NSaR360ac0681fVISefDT1TxziDGF8lb9ZVyV+2F9Rg45+UX0bN2IRz5bzYvfbCA6MpyM7HyiIsKYfuWg0n7r9fedCsDGzFyaNIwiITqS/QUHGP7ALHblFPDvawbzvzUZfL8uk8uGtOOcfm34+ud0Ln/hB6IiwkiKi2JbVh7/vXYoA/3oZvo10kVMR8jIB2fTr2314e5V6fvymbVqB3+euZyCA8Wc0rMFfzq1GylNYlm4cRfnPvNdhfWPTUlkxrVDeWP+Zv480816KQn6Xq0bsXr7Pnq2TuCVqwbTsEEE3/6SwcX/msfr1wxh6DFJwdjEkLNzbx6Tpi9kcbk+8+SGUfxlfE+ue20RzRMaMKZb89K+7BLPXtqfDZk5nN+/DUm1nK53oNgSHmZYl55NflEx3VomMGvVDjZm5h5ynKa42GIMhzxL25VTQExkODFR4eQWFBEbpY+3Oly1DXft2V+xpvENmDCwLY1jo5g0fSEfL9vOx8u288XNI7n3w5UAnNy9OaO7NmNfXhETBqUQGR7GxYPakpVbQLOEaCLDDTf9Zwlrdu6jTeMYFm3aw8QXfuCt64aVTtFMiNFhFijNEqKZce1Qvly1k9Fdm/Hlyh1c++oirnttEUlxUXx96wk0iAhnUPsmxEdHcO30RURFhDGu5+GfOZXMXOnQtOzin9Fdm1f7nJr6zct3SSrY65f2bgB4YQTdHyf3aMG1xx/Ds1+5U/oxj34NwPn92/DQ+ccetH54mGHKaDezobjY0qNVIzo2bUixtdz+9k/8d2Ea367N4NYZS4mNCq9xFoIcnojwsNJurkHty86I2ifHlfbDl3wo2Q93nHjUH59SN/pwEj9ZgtOtFWi3ndKVH+44kXvO7AHAvWf15G/n1DzQFBZm6Nw8nrAwQ0R4GGf2aQVQ+hksb04eSmJs8AeQQ1WTuCg+ufE4zu3Xhj9U8XHCibFRFS5kk18PtdwDIFTaRc3io5k4LJWJw1LrXEYv35SyLXv2c+HAlKNqitnRqmuLBB654OAzLPl1U8vdT0Eaj/asxNgoppzQkT4piUw+/phgV0fkV0stdwm4W8Z24Zax+sYhkWBSyz0QQqVfRkRChsLdT+qWEREvUrgHgFHTXUQ8RuEuIhKCFO4iIiFI4R4AugBQRLxG4e6nYH3wmohIdRTuAaCGu4h4jcLdT2q3i4gXKdxFREKQwj0ANKAqIl6jcPeTxlNFxIsU7gGgK1RFxGsU7n4KlS/rEJHQonAXEQlBCvcA0ICqiHiNwt1PGlAVES9SuAeAWu4i4jUKdz+p4S4iXqRwFxEJQQr3gFC/jIh4i8LdTxpQFREvUrgHgAZURcRrFO4iIiFI4e439cuIiPco3ANAvTIi4jUKdz9pQFVEvEjhHgAaUBURr1G4i4iEIIW7n9QrIyJepHAPAH0Tk4h4jcLdT1YjqiLiQQr3ANCAqoh4Ta3C3Rgzzhiz2hiz1hhz2yHWucAYs8IYs9wY8+/AVlNERA5HRE0rGGPCgX8AJwFpwHxjzHvW2hXl1ukE3A4Mt9buNsY0q68Ke406ZUTEi2rTch8ErLXWrrPWFgBvAOMrrXMN8A9r7W4Aa+3OwFbT29QrIyJeU5twbw1sLnc/zbesvM5AZ2PMN8aY740x46oqyBgzyRizwBizID09vW419hiNp4qIF9Um3KtqmFaOtAigEzAKuAh4zhiTeNCTrJ1mrR1grR3QtGnTw62rZxmNqIqIx9Qm3NOAlHL32wBbq1jnXWttobV2PbAaF/YiIhIEtQn3+UAnY0x7Y0wUcCHwXqV1ZgInABhjknHdNOsCWVGv0jx3EfGiGsPdWlsETAE+BVYCb1prlxtjphpjzvSt9imQaYxZAcwG/mitzayvSouISPVqnAoJYK39CPio0rI7y922wM2+n18VtdtFxIt0hWoAaDxVRLxG4S4iEoIU7v5Sv4yIeJDCPQD0kb8i4jUKdz+p4S4iXqRwDwANqIqI1yjcRURCkMLdT7pCVUS8SOEeAOqVERGvUbj7Se12EfEihXsAaEBVRLxG4S4iEoIU7n7SeKqIeJHCPQD0TUwi4jUKdz9ZDamKiAcp3ANA7XYR8RqFu4hICFK4+0kDqiLiRQr3QFC/jIh4jMLdT2q4i4gXKdwDQF/WISJeo3AXEQlBCnd/qV9GRDxI4R4AukBVRLxG4e4nXaEqIl6kcA8ANdxFxGsU7iIiIUjh7iddoSoiXqRwDwANqIqI1yjcRURCkMLdTxZdoSoi3qNwFxEJQQp3P1mNqIqIByncA0ADqiLiNQp3EZEQpHD3kxtQFRHxFoW7iEgIUrj7SeOpIuJFtQp3Y8w4Y8xqY8xaY8xt1ax3njHGGmMGBK6KRwGNqIqIx9QY7saYcOAfwClAd+AiY0z3KtaLB34PzAt0JUVE5PDUpuU+CFhrrV1nrS0A3gDGV7HeX4AHgbwA1u+ooHa7iHhNbcK9NbC53P0037JSxpi+QIq19oMA1k1EROqoNuFeVcO0dBjRGBMGPAb8ocaCjJlkjFlgjFmQnp5e+1p6lK5OFRGvqk24pwEp5e63AbaWux8P9ATmGGM2AEOA96oaVLXWTrPWDrDWDmjatGnda+0xGk8VEa+pTbjPBzoZY9obY6KAC4H3Sh601mZZa5OttanW2lTge+BMa+2CeqmxiIjUqMZwt9YWAVOAT4GVwJvW2uXGmKnGmDPru4JeVtIro4/8FRGviajNStbaj4CPKi278xDrjvK/WiIi4g9doeoHDaeKiFcp3ANAA6oi4jUKdxGREKRw90PJPHc13EXEaxTuIiIhSOHuBw2oiohXKdwDQAOqIuI1CncRkRCkcPdD6RWqarqLiMco3EVEQpDC3Q9WQ6oi4lEKdxGREKRwFxEJQQp3P5QNqAa3HiIilSncRURCkMJdRCQEKdwDQN/EJCJeo3AXEQlBCnc/aEBVRLxK4S4iEoIU7n7QFaoi4lUK9wBQr4yIeI3CXUQkBCnc/aABVRHxKoW7iEgIUrj7QcOpIuJVCvcA0BWqIuI1CncRkRCkcPeD9Y2oakBVRLxG4S4iEoIU7iIiIUjh7gfNlhERr1K4S+AtfAlmXAn7dgS7JiK/WhHBrsDRrOwKVY2olsrfB+/fCFho2ALG/S3YNRL5VVLLXSr6ZTY81gs2zK3b87ctBSxExsL3T8PebQGtnlQhLwvmPg47VgS7JuIhCndxFk2HuxvB9LMgaxO8dBp8flftnluQU3a75E1h/N8BC8+OcK15qR95WXB/W/jiLvjktoMfP1DkfuRXR90y/ijplgluLfy38Vt4b0rZ/dMfg2+ehG8ed5P4O42F3AzoPA7CI11/1LK3ICbRBcfrE6BpV4hvAevmQNNu0PNc2L0RvrzH/W7RM2ibF3KshR3L3T7dtrRsecYaKD4AYeHuTTYqDmZeD+FRMPmr4NVXgkLh/mtWkONC4v0b3P3oRnDJDEgZBI1S4LXzYO5j7geg6+kw4VUX7G9d5ZY16+5+79sG6asgvhVc8qZb1rqf+52XdeS2KdQdKIKZ18JP/4WIGCjaD5FxcPJU+PAP8MJY6H8FvHt9xedtWwL790DKYIiMPrzX3L8HDhRCw6awZSHs3Qrdzqhb/YsPgAnTlX9HgMLdDyXfxFTjcVpcDJlrIakjhHmoJ2zOffDtU+52j3Pg/BfLHus4Bn63CFbMhC2L3B/kyvfgnkRoM6hsvZ0rYMRNMOZu2LMZ4pqWhUd0I/db4R4YH/4B5j9Xdj8qFlJHwIArofNY11pf/g6kzT/4uf8cWXb7zl2udV9ZTiYU5UGj1u515j8PCa3hl1kQ0xiu+gz+Ndqte9ced+AfKHT3wyOhqACeP8k1Gia+58ZvdiyHrqdB6nB3+5lh0OEEKC6C9NVw+bvQvHvg9pGUMiWX0Fe7kjHjgCeAcOA5a+39lR6/GbgaKALSgSuttRurK3PAgAF2wYIFda23J+zJLeCFv17Hua130W7wWdDnYti+FNZ8AcWF7g+i+3j48Bb4+WPXyr3yU4hOCHbVXVfJ8ydD9nY45kS44GVoEH/o9YsPwH1toDDX3e90MsQmw/AboFnXqp+zax082Re6nQkTpgd+G2qy/B3YuhhOugeK8l3ADf0t9Lv8yNfFX9bC1CSwB2Dg1TDqdohNOrhlsWURrP7Y/f+smOmC9Iu7YMeysnXCIuCGJdCoTdmy/XvggXbu9t1Z8NQAyFxz6Pq0HeoaLDnp0CABTv4LJHeGF0+pev3U42DD/w5ePuS3wZtRtf5rdyYy4qbgvH4dGWMWWmsH1LheTeFujAkHfgZOAtKA+cBF1toV5dY5AZhnrc01xlwHjLLWTqiu3FAJ96z7e9AubGct1jaAhYkfQPvjql5l/273h1JVq6o2CnIgJwMaNnPdJE06lC0PbwA5O12AZ++EaaMgf697/O5atqz373bBsfYLGHnroUO9RMlgH7gWWodRddioStZ/7barfDABrPwA1n7u/lgT2sDgSTD9bPfYJTPg64dg8zx3v7bb6yXZ6fBwRxj3AAy59vCeu2+HC+GsNDc+UuLqWe54KC50LfUFL1R83oib3Rlccmd4ejDkZro3jehGsOrDsjf6yrqPd2cRPc52byTzni17bNAk938X19Qt370RLnsbWveveTs2z4cfp8Nxf4DG7Q5vH4A7fneugjWfuTeule+75TevhIRWh19ekNQ23GvTLTMIWGutXecr+A1gPFAa7tba2eXW/x649PCqe3SyFgyW9c3H0n7Hp27h0CnuAA6LcIOJhfth4FWuS+axHvDGJXDdXEhsW7GwJW/AO5Nh4DVw2sN1q9DHt8KPr5bd73iSOxXet7VsWesB0OmksmAfNKn25cc0dmcnfS6u3frRjVwYffL/4JXxLixiGsOQ6yE8wrXsv3/GDb62HQL7trtBwV2/wKbvXd1iGrttOuYEWPcVfP2gK/viN11XRGGe6/9f9UHZ627/yZ0plXjtvIr1WvGuu9Cq2xnQ6wKIaOC6Fbyq+IDrYwdI7nj4z49v7n5a9HSD5R/4WqrPjT543ZIWdlik+39O7uSWj7sf3r4Gek+AXue5/Z651gXmktdh8WtlZZz7vDv+jXF/JA2bw+4N7gwqpnHZeuu+cmMB/xoNpz3izkgqy8uCedOgSfuycZ7MX+A3H8CBAvd/B64BExFdfcPozYmwvoqB5Ue7wR9/gbjkQz/3KFSblvt5wDhr7dW++5cBg621Uw6x/t+B7dbae6t4bBIwCaBt27b9N26stufG83bnFJDzYDfyWg2h41UvuBZxYkrVK1vrwr5kcLL3BDjzKTcIuW8H/HeiawnFNIZb1hx+2BQXw3MnwtZFFZe3PNb9AZVnwqFVX7jq8/ofAyguhqeHQMbqsmXRiTBpDjzV33UzgHvzy1xb8bmt+rmQSPuh6rI7j4PmPeF/vjfD33zkBnH/2sLd7/8b16LPzXD3e54Hy2YcXE5cU7hpBURE1XEjA6S42J0VJXcsO+sqPgBTm7jb8a3g5hWBGYzM/AWe6ldx2SkPwuDJbuwkvqV7Ay4vd5c7Pqt6/aJ8N4aTMgS6jKtdHTLWusDethia93KNngplFsDjPSG7iiudu5wKqz+quCyuGdy0vOr/x21LysYd+lzi3rjaDoXv/gGf/xlOfdgdg3u3QvuRbgZZtzPcuEZJXV4c5/5uB0+u3fbVk0B2y5wPjK0U7oOstb+rYt1LgSnA8dba/OrKDYVumV05BeQ+2I281sPoOKmWfcpP9nMt06qER7nWSOv+rvtmzWduwCoyBpp1c62YyFjXHZKxFlZ/CGs+r9iX2eEEN7iZsQaSOriALPlj/Pbv8Nkd7vYpD7muiyNlzyaY90/47u8Vl3c4wbX+ti2uuLzdCNhY6Y/92Ivh1AfdQN2bl1V8LL4V/HaeG8948VTXLXXxm27frfoQBlwF6SvdvHtw3Q1rv6hYRskg4ZG0eT7s2ehaph/cXLYf+v/GdYHsXAmz/uKWXfIWdBoTuNf+/lkX4B1PctNYS1rBR9oXd7tGz4ibYcSNrvGBhWknuO6TBgnuTHfgVW5m0Ds1HLftR7qzhcapbtZXkw7wv0dg3Ww470XoeU7F9R/rCVmlULW0AAAOZElEQVSby+4ntnXH64iboEVv98Y1/1+uyw/cGNIFrwRtxk8gw30ocLe1dqzv/u0A1tr7Kq03BngKF+w1dkKHSrjnPdiFnNbH0WnSK7V70v7drjX6ylmwxbf9F0x3g2MtesITfWD/rurLqGpwKmWw644Yd58LhiorvA6mn+NOtc9/uaxVciSt/AA+v9O9wTXtBtfOdQHz46uuZZjY1rUaI2NcF1bWJtdnHtcUWvVxZVgL3zzh+nXXfu5mdNxc6epMa6v+41v2FiR1cqfwK991rbeXTit7vMc57gKsqLj62wcl9myCx3tVXNY41XVhVHbjskOfFR7tSgbeq3LSVBh8bdkbz57N8Oq5LqBH/tH9P2f87M4oZv2lYvdQeWERrtEz7KA2Kbw9GZa+4bqiigtrV+ffL3ZvyEUFsPhVN6bV8xx33NazQIZ7BG5A9URgC25A9WJr7fJy6/QFZuC6b6oZYi8TKuGe/2AXstuMpNM1Lx/ek3dvgMX/drNNygfJnk2udV/TQdZ+JIy+03VDlPQzFhd7a6pldWpT15I/3KZdDr1OQY7/QVxUAPc2Lbs/4ErXN30oBwrdaXtcsgvjw3394mL46A8VBzBNuAuwm5a7BkBOupuzDjBlQVnfd6jKyXQX0q3+yHXR7FwOJ9wBI285vHLenuymcvY4x3VtbpjrWt4terq/maqkr4ZPbneNouwdbjxm0CR4//fu8c7j3EV6w37nWvjTRkGX01z5WxaWtfqjGsKZT7oxpHoUsHD3FXYq8DhuKuQL1tq/GmOmAguste8ZY74AegElHySyyVp7ZnVlhkK4Z2bnU/RQZ/a2GU2na16s+Qm1lbsLdq93XSo5Ga77YP3XMPoOdyBu/BaG/75sHrn47+HO7g+7zUA3T3zKQtf3nZ/tBgy7nenekD+9vez0vETvCW56ZbvhFc8W9m6Dl0+H0x+vOEPq0zvKuqf6TYTTHj24fxtc11thLrTsHfDNlVrYMBdsccU3heJieKJ3xW6cE+5wZwwlZ1yTvnLdgwW5gIUWlc7O/GyQBDTc60OohPuBhzqzJ+VEOl/9Qs1PEO/avRGwLsyfHe6WdT/LzRWvrQumQ3dfm8ZaePNyd+EXuP7kbx53YVHizxnenqUjVfvxNXcFcL/L3ThQu6Hujfj1CQdPCgAY/7T7qI6V77tuwE9ud3P7D9V9WoNAToWUQ7CAoZgQ+HQZKT9v+uxpbtCucrC3Hea6wUbc5Aa2I2Nc339YOHz2f26Qt/t4dyFRVhqlHz6UMhjmPlqxrLH3KdiPVn0uhuY9ysaAwJ3l/W4h/PyZ6277+WM3FrR3S8WPgljyuvvdqtJMpXqgcPeTAaw+JyO0HDvBzQt/Zbz7/JbJvgunquo6GXGj+x0VB/97zM2hB3fBVlikb3C2oWu1794I50zT56oc7YypGOzldT7Z/ZTYsxk+usWNqQye7BoMXU87Il1t6pbxQ0Z2PmEPdSC93Wl0uXJasKsjwVaU7z6rJ74l9L0k2LWREKVumSPAXaEKVt0yAm62y+HO7hCpJ0fJvDnvCqMY7UYR8Rqlkh9sSZtdDXcR8RiFu58MFqvdKCIeo1Tyk+EQl7mLiASRwt0fFsKwmgopIp6jcPeT8V3KJCLiJQp3P1hcy127UUS8RqnkN3XLiIj3KNz9FIYFo90oIt6iVPJDyXeoqs9dRLxGHz/gJ82WEfGGwsJC0tLSyMvLC3ZVAiI6Opo2bdoQGVm3Tw9VuPvBYgkzarmLeEFaWhrx8fGkpqZijvIGl7WWzMxM0tLSaN++fZ3KULeMP0o/UVO7USTY8vLySEpKOuqDHcAYQ1JSkl9nIUolv/jCPQQOJpFQEArBXsLfbVG4+8EWu69MU5+7iABs2LCBnj17BrsagMLdP6XdMgp3EfFPUVFRQMtTuPvBlnzZsea5i4hPUVEREydOpHfv3px33nnk5uYydepUBg4cSM+ePZk0aRIl34A3atQo/vSnP3H88cfzxBNPBLQemi3jF+v7Vy13ES+55/3lrNi6N6Bldm+VwF1n9KhxvdWrV/P8888zfPhwrrzySp5++mmmTJnCnXfeCcBll13GBx98wBlnnAHAnj17+OqrrwJaV1DL3S9GLXcRqSQlJYXhw4cDcOmllzJ37lxmz57N4MGD6dWrF7NmzWL58uWl60+YMKFe6qGWux9KTq3Uchfxltq0sOtL5Vkuxhiuv/56FixYQEpKCnfffXeFKY5xcXH1Ug81Of1R2nJXuIuIs2nTJr777jsAXn/9dUaMGAFAcnIy2dnZzJgx44jUQy13f2i2jIhU0q1bN15++WUmT55Mp06duO6669i9eze9evUiNTWVgQMHHpF6KNz9UDJbxqrPXUSA1NRUVqxYcdDye++9l3vvvfeg5XPmzKm3uiiV/GF1haqIeJPC3Q+ls2W0G0XEY5RKfvHNllHLXUQ8RuHuDw2oiohHKdz9YEv73LUbRcRblEr+0Dx3EfEohbs/SqZCqltGRHyefPJJunXrxiWXXBLUemieu1/UcheRip5++mk+/vjjOn89XqCo5e4P9bmLSDnXXnst69at48wzz+SRRx7hrLPOonfv3gwZMoSlS5cCsGvXriqXB5pa7n6wxZotI+JJH98G238KbJktesEp91e7yrPPPssnn3zC7Nmzueeee+jbty8zZ85k1qxZXH755SxevJi77rqryuWBpnD3g0EtdxGp2ty5c3nrrbcAGD16NJmZmWRlZR1yeaNGjQL6+rUKd2PMOOAJIBx4zlp7f6XHGwCvAP2BTGCCtXZDQGvqQVYDqiLeVEML+0gonSpdjjHmkMsDrcYmpzEmHPgHcArQHbjIGNO90mpXAbuttR2Bx4AHAl1Rb1LLXUSqNnLkSF577TXAfUBYcnIyCQkJh1weaLVpuQ8C1lpr1wEYY94AxgPlP/psPHC37/YM4O/GGGOreosKJaXz3INbDRHxnrvvvpsrrriC3r17Exsby8svv1zt8kCrTbi3BjaXu58GDD7UOtbaImNMFpAEZASikuXNf/sJmi77V6CLrZMIW+i7pXQXEWfDhg2lt999992DHm/SpEmVywOtNuFeVXJVbpHXZh2MMZOASQBt27atxUsfLKJhErtigzt/tLztYb1o229ssKshIlJBbcI9DUgpd78NsPUQ66QZYyKARsCuygVZa6cB0wAGDBhQpy6bvidfCidfWpenioj8atRmJHA+0MkY094YEwVcCLxXaZ33gIm+2+cBs0K+v11ExMNqbLn7+tCnAJ/ipkK+YK1dboyZCiyw1r4HPA9MN8asxbXYL6zPSouIVMVaWy/TCoPB3/Zxrea5W2s/Aj6qtOzOcrfzgPP9qomIiB+io6PJzMwkKSnpqA94ay2ZmZlER0fXuQxdoSoiIaFNmzakpaWRnp4e7KoERHR0NG3atKnz8xXuIhISIiMjg/5JjF6iSytFREKQwl1EJAQp3EVEQpAJ1nR0Y8w+YLUfRSQTmI83aARkBaAcL5cFgdtf4N3tDGRZ2l+HR/vr8Pizv7pYa+NrXMtaG5Qf3Bz5oD2/XDnTArhNniwrkPvLy9sZ4LK0v7S/PLm/avtcdcvA+7+CsgLNq9vp1X3m1W3U/gpeWfUumN0yC6y1A4L1/F8b7a/Do/11eLS/Do8/+6u2zw1my31akJ//a6P9dXi0vw6P9tfh8Wd/1eq5QWu5i4hI/VGfu4hICPJMuBtjUowxs40xK40xy40xN/iWNzHGfG6MWeP73di3vKsx5jtjTL4x5pZKZW0wxvxkjFlsjFkQjO2pbwHeX4nGmBnGmFW+8oYGY5vqU6D2lzGmi++4KvnZa4y5MVjbVV8CfHzd5CtjmTHmdWNM3T8Ny6MCvL9u8O2r5X4dW4Ga2hOAqUEtgX6+2/HAz7gv5H4QuM23/DbgAd/tZsBA4K/ALZXK2gAkB3ubjqL99TJwte92FJAY7O3z8v4qV2Y4sB1oF+zt8+r+wn0F53ogxnf/TeA3wd4+D++vnsAyIBb32V9fAJ3qUifPtNyttdustYt8t/cBK3EHxnhc+OD7fZZvnZ3W2vlAYRXFhbxA7S9jTAIwEveZ/FhrC6y1e47IRhxB9XR8nQj8Yq3dWG8VD5IA768IIMb3LW2xHPxNbke9AO6vbsD31tpca20R8BVwdl3q5JlwL88Ykwr0BeYBza2128DtQNw7Xk0s8JkxZqHve1tDmp/7qwOQDrxojPnRGPOcMSauHqsbdAE4vkpcCLwe6Pp5jT/7y1q7BXgY2ARsA7KstZ/VZ32Dzc/jaxkw0hiTZIyJBU6l4tec1prnwt0Y0xB4C7jRWru3jsUMt9b2A04BfmuMGRmwCnpMAPZXBNAPeMZa2xfIwZ0+hqQAHV/4vnLyTOC/gaqbF/m7v3x9zOOB9kArIM4YE7Jfguzv/rLWrgQeAD4HPgGWAEV1qYunwt0YE4nbMa9Za9/2Ld5hjGnpe7wlsLOmcqy1W32/dwLvAIPqp8bBFaD9lQakWWvn+e7PwIV9yAnU8eVzCrDIWrsj8DX1hgDtrzHAemtturW2EHgbGFZfdQ6mAObX89baftbakbivLV1Tl/p4JtyNMQbX77vSWvtouYfKf/n2RODdGsqJM8bEl9wGTsad6oSUQO0va+12YLMxpotv0YnAigBXN+gCtb/KuYgQ7pIJ4P7aBAwxxsT6yjwR1x8dUgJ5fBljmvl+twXOoa7HWbBHmcuNEo/A9ZUvBRb7fk4FkoAvce9eXwJNfOu3wLU69wJ7fLcTcH3IS3w/y4E7gr1tXt5fvsf6AAt8Zc0EGgd7+zy+v2KBTKBRsLfrKNlf9wCrcI2s6UCDYG+fx/fX/3ANrCXAiXWtk65QFREJQZ7plhERkcBRuIuIhCCFu4hICFK4i4iEIIW7iEgIUriLiIQghbuISAhSuIuIhKD/DwCrVHEP4Wa/AAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 262,
+       "width": 373
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res_target.get_security_weights().plot()"
+    "res_target.get_security_weights().plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x23b382b2ac8>"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 264,
+       "width": 376
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res_target.prices.plot()"
+    "res_target.prices.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAwQAAAIrCAYAAABRdl61AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAABYlAAAWJQFJUiTwAAEAAElEQVR4nOydd5gcxZn/Pz2zUTknlBEqIQlENNkEk3HAYM4RjBM2Z/D9zvbZPvvOOYdzxjZOYMDghMEkgQGLjBBBEgJRQjnnsHl3drp/f/TMTnVPd09P2Px+nmefnemurq5J3fWtN1mO4yAIgiAIgiAIwuAk0dsDEARBEARBEASh9xBBIAiCIAiCIAiDGBEEgiAIgiAIgjCIEUEgCIIgCIIgCIMYEQSCIAiCIAiCMIgRQSAIgiAIgiAIgxgRBIIgCIIgCIIwiBFBIAiCIAiCIAiDGBEEgiAIgiAIgjCIEUEgCIIgCIIgCIMYEQSCIAiCIAiCMIgRQSAIgiAIgiAIgxgRBIIgCIIgCIIwiKnq7QEIgiCUglLqy8CXSjh0ltZ6YwnnGwEM01pvL+GcZj9nAf8C9mmtx8U8ZiMwI6JJCtgLrAJ+q7X+U0AfS4Azgeu11j8rbtRdfVwN/B54QWt9Qil9RPR9PPAh4CxgJpAEdgJPATdqrZdU8nylopQ6Umu9ushjnMzDo7TWqzLbbgLeD/xAa/3pyo4ycAwJYI7Weo2x7SyK/C4KgjAwEUEgCEJ/ZTPuZNHPCUAt8DqwO2B/W7EnUkq9G/g/4CNAWYKgTMJe03BAAecB5ymlztBaX9ejIysRpVQN8CPg2symDmBj5v9s4N3Au5VSfwCu0Vq398IwUUpNAn6cGdOJvTGGUlFKnQD8Cnfy3+3iQxCE/ocIAkEQ+iVa698Bv/NvN1bTv6m1vqlCp/sWMKlCfZVD6GvKWDD+D3eV/eNKqbu11v80mlwFDMFdde8TKKWqgUeA04FdwJeB32mtOzL7a4BrgG/jjr8OeGevDBYuBP4NeKGEY4/M/F9fueEUxXXAcbiCwOQ53LF19viIBEHoU4ggEARBGABorRuUUtcCpwHzgA8D/zT2b+6tsUXwFXJi4EyttTZ3ZoTBz5RSrwOLgX9TSv1Ra313zw+1dLTWr/X2GILQWrcAfXJsgiD0LBJULAiCMEDQWqdwV9whtyrdJ1FKzQY+k3n6ab8YMNFaPwjcm3n6H909NkEQhMGGWAgEQRh0KKWOAz6FG8A6HjgEPAP8RGv9sNHuatwg2iz3KKUAPpB13VFKJcn4ueO6ZYzFjVNYD9wN/J/W+lC3viAvdua/ZW4MCyrOTMz/GzgXOAxoATTwV+DnmVXkSDLvwZ+By4CtuKv9hdxj3o8bOLwduL3gq4L/BW4Engg4/xG4vvHnA1OAZlzXnhu11n8JaO9k2gzHdbH6GDnXmeeA75ruVr6g7uMzx2/SWs9USs0ENgCv4LoU/RY4FtiP6+L1s6CgYt94TgK+BpwCpDNj+KHW+gFfu6uJCOpWSl0H/BR4TGt9ljG2LJ9SSn0KuFlrfXVUULFSqg74d+BdwHzcBcT1wN9xv9MHfO1vwv1Mr8CNdfki8Ebc93g9cCtuAHWvxIAIghCNWAgEQRhUKKX+HXfC9R6gHliOm6XnLcA/lVLfNZrvwg1czk5iXs0835Xpqxp35foW4GLcSeYK3En1ItxJ0eMZX/huJ3Oet2SeLovR/kjgeVz3opHAy7gxBicC3wUeybzGqD4s3FiOy3An92fHEAMA52T+P6a1ThdqrLVerrW+R2t90Hf+S3Hf82uAccBKoAFX4PxZKfXHjGAJ4kbg17iBwq/h3hPPBR5USl1mtFuGO8kFaML9Dvjf35HAg8BC3O/JKCBONqI3Ao/jitM1mf7PA+5XSv1vjOOjaMuMNRuIvi3zfE3oEYBSajywFPgBbpD+ZlyRqID/AZYrpeaFHH4O7u/rLbjfpV24YusbuKJREIQ+iAgCQRAGDZkV0Z/hXvs+D0zQWr8Bd2X8/bgT//9SSn0IQGv9gNb6dHKBuJ/VWp9urNx+DDfYdBewSGs9R2t9otZ6Eu5qsQ0cDVzaA69tEu5K+0zcDD0/jHHYV4HRuNlzJmqtj9dazwOOx01jejLuCnEUP8EN+N0JnKO1XhtzyNkJZd6KeVyUUnNxX3M97sr4xMz7PxO4CDiIa7n5csDhQ4EPANcD47TWx+N+Dx7Dta58PdtQa30F8M3cU316ZpvJVKAVOFxrfVzm+aMxXsaJuKJ0dmYM0zJjcoCvKKVOjdFHIFrrnZnvb/b7ekdm7N+MOg74E+73dhWwQGs9X2t9LK6V5FFgOvCPjBXBz7W4sSvTtNZHaa1nkHPzeqtS6g2lvh5BELoPEQSCIAwm/hd3svcrrfW3tNadAFprR2v9B+BzmXZfjVhVNjkH18XjS1rrleaOjKtKNqvL/IqMHj6vlHrS9/dsJuh2O+4qfRPwHq31yzH6Oyrz/6ZM/EF27C/h1nj4GxFpWpVS38TNYLMbVwyExgEEMCrzf18Rx/j5LG7mocVa60+Y7k1a68W4E35wXWXGBhz/a631z7TWduaYBtwVcIAjM5mbiuH7Wuvdmb72a62dQgcAjcDbtNZbM8c5GZeu3+F+Vz9V5BjKQil1BnA27uf+ZrPmQqYGx6W4bmFHkHt/TfYDV2itdxnH/QRYl3l6cveMXBCEchBBIAjCoEApNQzXPQPghpBmN+JaCabgxgNEorV+O+7q9G8DzpfEneyBm+6zEhyBm0XI/DsJmIPrdvLfuMWn/hazv+wk7RdKqTOVUl1xZVrrG7TW7wjywQdQSn02c75DuGKgqGJduG5VUF4s28WZ/4Gfp9b6Llx3l3pyLkom9wcdZjwuVhA8U2R7gLu01kGpYLOxK+fFFKeV4pLM//u11pv8O7XWjeTG9uaA45dorVsDtmff12LfU0EQegARBIIgDBZm404+U7gBoHn40jDOjdNpZmV9uFLqrUqpzyilfqmU+hfuSumlmWaVutZ+QGttaa0t3NdyPJANgp4CPGiuzMbgq7grwScDS4C9Sqk7lVIfUUpNjDhuPm5tAIBhlCZ4spPgkirkZlbvs7UhXopomt0X9HluC9hmTmaLnYjvKLI9uO5CQWS/o8OBySX0WyrZ9ynqPX3R19Yk6D2F3Pvak+JGEISYiCAQBGGwMDzzvznrIhJCk699KEqpOqXU/+G6UNwNfAf4KO5E/RncYNduQWud1lq/iOsr/yiu9eChjF993D6W4lpCbsO1ZowE3o5rKdmmlLpVKTUy4NB6XP/8h3EneL8xrQsxyQa2LojTWClVq5QyXa/Mz6fR394g6vPsKHBaq8B+P0VXwSY3vqjtlbIwxSH7PvWV91QQhB5ABIEgCIOF7CRmqFIq6tqXnQCHTdRMfgv8J24A6LdwM6vMAUZprS/EzTbTrWTiIN6LGwQ8DjezTuysRlrr1Vrr92WOPQs3/eWLuBP99wI3BRzWiJsJ5z3AAdwA1M8EtIvivsz/swt8HlnOBF5RSu1QSo3D+/lEuaEU83n2BkNDtpuT7YO+fWGT6koIh+z71J/fU0EQikQEgSAIg4V1uAHA1bipIfNQSg3FTa0IEJktRyl1GG4GG4BLtNaf11rfq7VeZ1ggppY/7MJkfNA/kXm6iFxgbChKqYRSarZS6sxMHx1a68e01l/MZLv5UKbppZn4C5M1WuvntdZ7cAN7Af63GOsE8A9c961xwJUx2l+T+b9da703U9sh63Z0bNABmZSo2X1xsx/1NGHv2TGZ/3uygcq4dRIAakOOqYRrUdbXP/A9zXB85n9ffU8FQSgSEQSCIAwKtNZNuCklwU2NGMQ1uIJhH25hqyxBxb5mGM/z/K0zOf5PyTzt9iKQWuvbgcWZp5+JMTmfhDuhe1QpNSVg/8PG4yi/798AT+Nm+7kxMwmPM97t5IKxv5UpLhZIptbA5ZmnZsrMbFBw2Od5KW4q0RS5jE+lEljwrQK8XSkV5HqTfU33GduyxcBm+FN+Zly2LiaYYsaePd/FSqkZ/p2ZsV6VefpQjP4EQegHiCAQBGEw8TXcydFHlVKfy/q9K6UspdSVuG4/AF8003CSc40wJ0hryU20/tvMBJOpd3A/OSEQlK+9O7geN0tSLeGZlICuCfkS3PvAbaYoyEz6su/F01GVljOpNT+Gu3p9JvCRIsb7Wdwg7snAU0qpD5ruTkqpoUqpzwB3ZDbd7sug9D3cYNULlVI/VkoNMY69kJzg+FGRwdZBZL8DkytcaG4i8Cel1Chws1NlCpJdgRuT8B2j7XO4Vq5hwDey37lMnMdvCbc2BH1/A9FaP4ErnmqBe80CZJnvyF24Ims9blE3QRAGACIIBEEYNGitl+AWScr6/O9SSi3FzYzyB9xJ0I+01v7JdLbGwA+UUi8opa7OuHH8LLP9c8B2pdQypdQ23AnVVNxUoOBmAOp2MkXBshPINyml3lvgkA/hWkPOAjYqpV5VSi3HrWnwHtxMSdeEHp0778vkCqF9VykVy3Ulk/f/TcCzwHjcSe0BpdRKpdRLmbF9B/dz+T1u8Tjz+NeA9+FOnD+B+3k+p5TaiFuMazRuddwvxBlPAVbhfm8mA68rpZ6sQJ/gBqNfAGxVSj2P+138Kq7A+kDmNQKQcdH6cebpJzPHvJA55r0YxdR8ZL+/lyulXlZK/bTAmN6DW7V6IfCqUmpV5vPYhJu+dRPw9kwKUkEQBgAiCARBGFRkij6djLvq3I7rK23jFuF6k9b6PwMO+xTuxK0dN8YgG2fw/3Anqc/huhodjeuechtufYDsZPrMELeQ7uBbuKu34AqYUWENtdYbgBOAX+JO8mbjrjJvw53gL9BaB6ZoDeDLmT5GAj+PO9iMpeI03MrOd+IGR88FjsRN43krcIbW+oM+q032+Dtx/e1/iytgFpEpVgZcrrV+Z9BxxaK1XgN8GDcWZRJweIHUrHG5FzgfN/3okUAN7nftZK31HQHtP50Zx/O47/VsXEvPabjf4SBuwv08d+Nmo1oUNaBMTMrJuIHiL+FWv56DGyT/v8Cx/kJ8giD0byzHiVNIURAEQRAEQRCEgYhYCARBEARBEARhECOCQBAEQRAEQRAGMSIIBEEQBEEQBGEQI4JAEARBEARBEAYxIggEQRAEQRAEYRAjgkAQBEEQBEEQBjEiCARBEARBEARhECOCQBAEQRAEQRAGMSIIBEEQBEEQBGEQI4JAEARBEARBEAYxVb09gIGMUuolYBbQBKzt5eEIgiAIgiAIA5c5wDBgg9b62GIOFEHQvcwCRmb+DuvlsQiCIAiCIAgDn1nFHiCCoHtpAkYOHz6cI488srfHIgiCIAiCIAxQVq9eTWNjI7jzz6IQQdC9rAUOO/LII7nlllt6eyyCIAiCIAjCAOXKK6/kueeegxLc1CWoWBAEQRAEQRAGMSIIBEEQBEEQBGEQI4JAEARBEARBEAYxIggEQRAEQRAEYRAjgkAQBEEQBEEQBjEiCARBEARBEARhECOCQBAEQRAEQRAGMVKHQBAEQRAEYYBj2zb79++nsbGR9vZ2HMfp7SEJAViWRVVVFUOGDGHEiBEMGzasR84rgkAQBEEQBGEAY9s2W7ZsoaWlpbeHIhTAcRxSqRSHDh3i0KFDjBkzhgkTJmBZVreeVwSBIAiCIAjCAGb//v20tLRQVVXFpEmTGDp0KImEeI33RWzbpqOjg8bGRvbt28f+/fupq6tj5MiR3Xpe+TYIgiAIgiAMYBobGwGYNGkSw4cPFzHQh0kkEtTV1TF+/HgmTpwIwIEDB7r/vN1+BkEQBEEQBKHXaG9vB2Do0KG9PBKhGEaMGAFAW1tbt59LBIEgCIIgCMIAJhtALJaB/kX28+qJAHD5ZgiCIAiCIAhCH6O7A4lNRBAIgjAoaUunaEq19/YwBEEQBKHXkSxDgiAMOna1NPC1lx4A4NNHn8vM4WN7eUSCIAiC0HuIhUAQhEHHja89ScpOk7LT3L52WW8PRxAEQRB6FREEgiAMOrY2H+x6vKO1ofcGIgiCIPQZXn/9da6++mqOP/54Fi1axJVXXtnbQ+oxxGVIEIRBxRM71nqej64Z0ksjEQRBEPoS1157LVu2bGH27NnMnTuXWbNm9faQegwRBIIgDCr+tP4Fz/NRtfW9NBJBEAShr7B//362bNnCkCFDuOuuu6itre3tIfUoFRMESqlzgc8Di4Bq4AXgO1rrxUX0MRf4CnA6MBZYC/wa+LnW2o5x/C+BjwIf0FrfFLC/Hvh/wPuAWcBB4D7gi1rrHXHHKQhC/6Sho5WUnfZsG15d10ujEQRBEPoKHR0dAIwePXrQiQGoUAyBUupq4J/AqcBS4BngNOABpdQ1MftYBCwD3gVsAhYD04CfAH+IcfxFuGIgbH81cDfwTWA4cD+wH/gw8KJSanqccQqC0H9Z27A3b5vdAwVfBEEQhL7LlVdeyZlnngnAtm3bUEqhlGLr1q0AvPjii3z84x/n5JNPZuHChZxzzjl8+ctfZufOnYH9bd++nS996Uucc845LFy4kFNOOYXrr7+elStX9thrKpayBYFSagrwS+AQcILW+mKt9QW4gqAB+LFS6rACfVi4k/4RwJVa69O11pcBc4GVwHuVUpdHHD8G+G2BoV4PnIdrEThCa/0O4CjgW8Ak4OcFX6wgCP2axlR++fe0U9D4KAiCIAxgTj31VM477zwAhgwZwlve8hbe8pa3MGTIEG677Tbe+9738vDDDzNjxgzOOeccqqqquP3227n00kt55ZVXPH2tWLGCt771rdxxxx1UV1dzzjnnMG3aNB566CHe9a538de//rU3XmJBKmEhuA6oBX6otV6V3ai1XgZ8B6gDClkJzgOOBpZorW81+tgDXJt5+omI42/AdTFaGrRTKZUAPgk4wHVa6/ZM/w7wP4AG3qyUGjzRI4IwCEnb+ZP/zoBtgiAIwuDh2muv5X/+538A12Xo+9//Pt///vfZuXMnX//616mtreX3v/89f/rTn/jJT37C4sWLuf766zlw4ADXX399l7tRW1sb1113HY2NjXzqU59i8eLF/OQnP+HPf/4zN954I1VVVXz5y19Ga92bLzeQSsQQXJj5f1fAvruAbwAXAV8qpQ+t9dNKqd3A6Uqp4VrrRnO/UurdwDuBLwCzgZMC+l8IHAYs11pv9PVvK6X+AfxXZpw3RIxTEIR+jE2+e5BYCARBEOCfW1dzz+aXaU939vZQYlObrOIt04/ivKlHdkv/t9xyC7Ztc+2113Lqqad2bU8kElx33XUsXbqU5557jvvvv59LL72UBx54gN27d3P66adzzTXetfAzzzyTa665hp/+9KfcfPPNfPOb3+yWMZdKWRaCjKvPfMAGVgc0WZPZtyDTNowFmf+rQvZr3LHO951/Cq6rz1Jca0Sp/b+W+X9URB+CIPRzxEIgCIIQzD+3vdavxABAe7qTf257rXDDElm2zC1cedFFFwXuv+SSSzztsv8vvPDCwPYXX3yxp11folwLwWhcd6E9WusO/06tdadSai8wATeQN6wC0OTM/7BMP9ntE33bf4vrkvR+rXVaKRU2zlL7zyMTQH11oXYZjonZThCEHiDIGtDppANaCoIgDC7OO2xev7QQnHfYvG7rf/fu3QAcdlhwKOzUqVMB2Lt3r6d9dnuh9n2JcgXB0Mz/log2rZn/wwgXBIX6MfsAQCl1La6r0X/qws5YRfcfwUzgzBjtBEHoYwQJAnEZEgRBgPOmHtltrjf9FadAFrp02l1QqqmpidXezliks+37EuUKguzSWpy8fVHuSXH7SQAopeYA3wMeB34c49xF9V+AjcBjMdqBayEYGbOtIAjdTDrgYi0uQ4IgCEIQEyZMYOvWrWzdupUZM2bk7c+mJR07dmxXe3O7ny1btnja9yXKFQTNmf9RpT6z+5rK6KerD6VUErgZd3J/dSZTULnjjDNGADIFz26KcU6UUksQa4Ig9BmCXYZEEAiCIAj5nHjiiWzdupXFixfz0Y/ml7p64IEHAHjDG97Q1f7OO+9k8eLFXHHFFQXb9yXKTTvagDvZHqeUyhMXmW3jgDat9cGIfrZn/k8K2W/GALwdtwDabuBrSqlbs3/AWZl212S2XVZC/4IgDFACXYbEQiAIgiAE8L73vY9kMskvfvELnnnmma7tjuPws5/9jGXLlnHYYYdx9tlnA27w8YQJE3jyySe58cYbPS5Ejz/+OL/5zW+orq7mne98Z4+/lkKUZSHQWjtKqVeAN+AWEXvV10Thio6XC3S1CrgYN4vQEk8HbnaiebhuP68CWQe32Zm/IE7J/K0F7iSXXWh+SPtsn4XGKQhCPyZtB7gMiYVAEARBCGDhwoX893//N9/4xje4+uqrOfbYY5k4cSKvvfYaGzduZMyYMfzoRz+ivt51NKmvr+fHP/4x11xzDT/4wQ/429/+xrx589i5cyfLly+nqqqKL33pSxx5ZN+L1ahEHYLFuILgUvIFwaWZ//fH6OMzmfb+OgCnAuOBxzI1CG4ixGVHKfUb4EPABzKuPQBorVcrpTYBxymlpmmttxjHJIC34rogPVhgnIIg9GPsIJchsRAIgiAIIVx55ZUceeSR/OY3v+Gll17ilVdeYfLkyVx99dV88IMfZOJEb4LK4447jr///e/ceOONPPHEEzzyyCOMHj2aN7/5zVx99dUcdVTfzHBfCUHwe9zJ/GeVUg9qrV8AUEqdkNneijHJV0odDlQDO7TWhzKbHwNeAc5TSn1Ea/3rTNvxxrE/KHOcvwC+DfxWKfV2rXU2ruBruNaNO7XW68o8hyAIfZigoOK0pB0VBEEY9EyaNCm0gvAJJ5zACSecELuvadOm8bWvfa1SQ+sRyhYEWuuNSqlP4RYIe0Yp9Whm1zmZ/q/SWu82DnkEmAF8gMxKf6Za8Acz+25USn0I1+//LNxaB7/WWt9T5lB/CLwZOA94XSn1NK5L00JgE3Bdmf0LgtDHCQwqFguBIAiCMMgpN6gYAK31DcBbgGeB04ETgSeB87TWt8bs4zngJOBvwBHA+bgT9Y8B11ZgjB3ABbgWgRZccTAMuBE4RWstAcWCMMAJq0NQKHe0IAiCIAxkKuEyBIDW+l7g3hjtZkbsexV4Rxlj+DDw4Yj9LcAXM3+CIAwyggSBA9g4JLF6fkCCIAiC0AeoiIVAEAShPxAUQwCSelQQBEEY3IggEARh0BCUZQggJYJAEARBGMSIIBAEYdAQZgmQTEOCIAjCYEYEgSAIg4YwlyEpTiYIgiAMZkQQCIIwaAgKKgaJIRAEQRAGNyIIBEEYNIQJArEQCIIgCIMZEQSCIAwaQl2GxEIgCIIgDGJEEAiCMGgwswwlrFzdgTDLgSAIgiAMBkQQCIIwaDBjBWoTubqMYiEQBEEQBjMiCARBGDSYloDaZFXgdkEQBEEYbIggEARh0GDGENQYgiBlSx0CQRAEYfAigkAQhEGDx0KQEAuBIAiC4PLTn/4UpRQ33HBDbw+lVxBBIAjCoCHMQiAxBIIgCMJgRgSBIAiDBq+FIBm4XRAEQRAGGyIIBEHoVna1NvDLV5/gHxtX4oTUAegpzIm/x0IggkAQBEEYxFQVbiIIglA6v9PPsLFxHy/t28KsEWM5asxhvTYW2xAkteIyJAiCIARw7733cuONN7JhwwbGjRvHBRdcwLXXXsvIkSO72nR2dvLXv/6V++67jzVr1tDU1MSwYcNYuHAhV199NWeccUZX26VLl3LVVVfxwQ9+kAkTJvCrX/2KtrY2Tj75ZH75y1/2xkvMQwSBIAjdysbGfV2Pl+/b2quCwKxDUOMJKpYsQ4IgCALcc889rF+/niOOOIKzzz6bFStW8Pvf/54lS5Zwxx13MGrUKBzH4eMf/zhLlixh9OjRLFq0iKqqKrTWPPnkkzz11FP87Gc/49xzz/X0/eijj7Jp0yZOOeUUUqkU06dP76VXmY8IAkEQeoze9BhyHAcbI6jYiCEQC4EgCIIAsH79ej7+8Y/ziU98AoD29nY++clP8vDDD/N///d/fPWrX2Xx4sUsWbKEY489lptuuom6ujoAbNvm29/+NjfffDO33XZbniDYuHEjX/jCF7jqqqu62vcVRBAIgtBjOPSeIjDjBxKWRZUEFQuCIHRhP/8gzjN3Q6q9t4cSn+parFPeRuKECyrW5ezZs7nuuuu6ntfW1vL1r3+dxx9/nLvvvpvPfe5z2LbNOeecw4c+9KEuMQCQSCS44ooruPnmm9m+fXte3zU1NbzrXe/ytO8riCAQBKHH6M2gYjPlaNJKUGVciMVCIAjCYMd54cH+JQYAUu3uuCsoCC666KK8ifro0aM55phjeO6551i1ahWXXHIJl1xyiadNS0sLa9eu5fHHH3eHlkrl9T179mxqamoqNtZKIoJAEIQew+5FC4FtWAGSVoIqyxAEYiEQBGGQYx1/Qf+0EBxfOTEAcNhhwXFukyZNAmD37t0ANDQ0cMcdd/DEE0+wfv169u7dC4BlWaF9m0HJfQ0RBIIg9Bi9ayEwBYFFUiwEgiAIXSROuKCiK+39FdMFKIiqqirWrFnD+9//fvbv38+4ceM46qijOPzww5k/fz4zZszg8ssvDzy2L7kI+RFBIAhCj9GbVQjyXIYMC4FkGRIEQRAgZwHws23bNsC1FHzta19j//79fPzjH+f666/3WAW01j0yzkrTd6WKIAgDDrs3LQS232VIsgwJgiAIXp566qm8bbt27WLFihUMGzaM+fPns3LlSgA+9rGP5bkIZY/vSxmE4iCCQBCEbmPNIe9KS29m8/G4DCW8LkOSZUgQBEEAeOKJJ/jTn/7U9bypqYnPfOYzdHZ28u53v5uampqueIJHHnnEc+ySJUv46U9/CrjpSvsT4jIkCEK38YOVD3uet6c7e2kk0S5DElQsCIIgABxzzDF88Ytf5C9/+QtTpkzh+eefZ9++fZxwwglcf/31AFx99dV8+ctf5j//8z+59dZbGTt2LOvWrWPt2rVMnjwZy7JoaGigo6Ojz2YV8iMWAkEQuoWUne+X37uCwKxDkJCgYkEQBCGPq666iq985Ss0Njby6KOPMnToUK6//np+97vfUVtbC8C73/1uvvvd7zJ//nxWr17NkiVLsG2bD3/4w9x1112cdNJJdHZ2dqUg7Q+IhUAQhG6htTM/B/P6xr3YjkMiIi1bd+HPMlRtWAja0ime3LmW4dV1LBo7tcfHJgiCIPQu119/fZcFAPAUEAvibW97G29729sC9/3iF7/wPD/ppJP6fLCxWAgEQegW2tL5ggDgvs2rengkLmlfHQLTQvDKgR3c8vpz3PDq42xo3NsbwxMEQRCEXkMEgSAI3UKYILh388scbG/p4dF4Mxz5swyZ/HX9Sz01JEEQBEHoE4ggEAShWwhyGcry1w09P+n2px1NhhSISVpyWRQEQRAGF3LnEwShW2gNsRAArD20pwdH4mJmGUpYlifLkEmyF+IbBEEQBKE3EUEgCEK30NrZEbqvw+75bEPeOgQJqsIsBH24tLwgCIIgdAeSZUgQhIry1/UvsvrgTsbVDQtt0xGQkrS78WcZCoshEJchQRAEYbAhdz5BECrGhoa9/HPba2xtPsjyfVs9+95z+Ildj1N2GruHi4H5C5PVJoPXQ0QQCIIgCH0Bx7hvdTdy5xMEoWJsbT4YuH3h6Mm8cfIcahK5VfmethL4046aYzGRGAJBEAYaVua6ZksRxn5F9vOyeuC+JIJAEIRuZ+GYKViWRU0ityrf0cNVi/0uQ2IhEARhsJCtsNvc3NzLIxGKoaGhAYC6urpuP1fFYgiUUucCnwcWAdXAC8B3tNaLi+hjLvAV4HRgLLAW+DXwc611nqxVSp0CfAE4FagH1gN3AN/XWrcGtB8FfAm4FDgMaASeBr6ptX4m7jgFQQgmbBFjfN1wAGqTVTR1tgO9YCHwpR2tCrMQSFCxIJRNp51mR0sDU4eO6pHVTSGa4cOH09bWxs6dOwEYOnQolmXJZ9PHcBwHx3Ho6OigsbGRvXvdQpmjR4/u9nNXRBAopa4Gfg+0A48CSeBs4AGl1Ee11jfG6GMR8DgwAngKWJbp4yfAScD7fO3PB+7PnGspsBM4EfgqcJlS6o1a60aj/Rjcyb8CtgL34YqCNwMXKaXepbX+a4lvgSAIERw5ehKAx02nvcctBEYMQSJBwrKoSSTzhIlYCAShPBzH4dvLH2JL8wHOmjyXd885obeHNOgZM2YMzc3NtLS0sHXr1sIHCH2GMWPGMGLEiG4/T9l3PqXUFOCXwCHgBK31xVrrC4DTgAbgx0qpwwr0YQF/wBUDV2qtT9daXwbMBVYC71VKXW60rwNuByzgMq31yVrrS4E5wL3AMcBnfKf5PK4Y+DMwR2v9dq31G3CFRhL4pVKqpvR3QhAE9yfp5a0zjuqaZNcYbjo9nXrU9sUQAB4XJv8+QRBKY0vzAbY0HwBgyY41vTwaASCRSDBt2jTGjx9PXV2dWAb6MJZlUV1dzciRI5k2bRoTJ07skc+rEhaC64Ba4Fta61XZjVrrZUqp7wDfAK7BddUJ4zzgaGCJ1vpWo489SqlrcS0GnwD+ltl1MTAGuFtr/XejfatS6qu4q/4XAv9rnOP8zP9vaK3bjWNuU0p9HpgPLAB6voSqIAxghlbVdj02/fY70r0XVJzIXFxNF6YsElQsCOXR079tIR6JRIJx48Yxbty43h6K0AepxFLYhZn/dwXsy267qNQ+tNZPA7uB05VSwzPb7gSmA9cH9DU889+//JidDXisFUqpKmBk5un+AuMUBCGCoKn0sOqcIPBmGepFl6EuC0F+HIFYCARBEITBRlkWgoyrz3zcyfbqgCZrMvsWKKUsrXVYQtUFmf+rQvZrYELmXEsBtNZbAsYzCfhO5uktvt0P4AY836CU+ghuPMEkXAvGYcBftdabQs4vCEKJeASBYSHo+RiCAJehgExDIggEoTzEyCYI/Y9yXYZG47oL7dFad/h3aq07lVJ7cSfzw3FjCoKYnPm/I2R/dvvEoJ1KqU8CbwVOwV2k/IbW+gZfs68CRwJvA/7p2/dN3OxGBckEUF8dpy1uLIMgDBoc8jW/6TLkSTvaq1mGrLzxdO2TLEOCIAjCIKNcQTA0878lok02/ecwwgVBoX7MPoK4Ajg587gdmKaUGqe13pttkIkv+CNwApAGlgPTgGOBD+BmOHow4nVkmQmcGaOdIAw6OgOK3pgWgtpetBDYAS5Dtcl8l6GELG8KgiAIg4xyBUF2iS9ObeWoZbe4/YT18Q5gHzAP+BZwFXCsUuo4rXUngFLqe8CngR8CnzG2vxn4C3CXUup4rfWrBcawEXisQJssx5CLTxCEAU+nky8I6gwR0LsxBGZQcXiWoR6sFC8IgiAIfYJyBUG25F19RJvsvqYy+onsQ2u9LfNwuVLqrcDzuFmLrgBuV0rNBz4FvAz8l9Y6bRx7r1LqW7guQ58CPhQxTrTWNwE3RbXJopRaglgThEFEOkAQmJNuT9rR3owhSFh548khikAQBEEYXJTrLNuAO5kfl8nW4yGzbRzQprU+GNHP9sz/SSH7C8UYdKG1TuHWGgDXHQjgjbixBY+aYsDgfl97QRBKIB3gMmT65FcbFoJUQNvuJCiouDZAEIgcEIQcTal2bl/7PP/YtNJTy0MQhIFFWYIgkzXoFdzCXnMDmqjMOV4u0FU2u9D8vA7cTEbzcN2KXs1su1wpdbNS6k0h/WUTi1dn/o/K/A9bksxul8JkglAGhQKFTUHQWUZQ8e7WRp7dtYG2zlTsY4LSjgYKAvEZEoQu7tzwEkt2rOG+zatYuntjSX3Ib0oQ+j6VSKexOPP/0oB92W33B+yL28epwHjgSa11Y2abwo0T+GhIf9m6Bi9m/r+W3Z4RGH7Oy/xfUWCcgiCEsPbQbh7Y8kpkm2rLtBCUJgg60p18d8VD/H7NM9y+7vnYxwVZCKYMyQ/xkamLIOR4atf6rsePbo9Xddj2CQBbflWC0OephCD4PdAGfFYpdXx2o1LqBOAzuBmCbjC2H66UmqeUMu/Ej+FaGs7L1AjIth1vHPsDo/0tmX6vUEq9x2ifVEp9BXgTsAk3WBhcwbEZt97Bd5RSCeOYs4Av4s4DflbKGyAIg520Y/O9lQ8XbFdluA8FBSDHYdWB7TSmXCPgs7s3xD7OayFw1wVmDR+b1y4odaogCPGreOcJArEQCEKfp2xBoLXeiBuMOwJ4Rim1WCm1GLfw13DgGq31buOQR3CLmL3d6MMGPogbNHyjUupZpdSduAXJjgZ+rbW+x2i/BfgYrhvRbUqpF5RSdwFrcSf3e4C3a63bMu3bgH8DDgL/BWxQSv1NKbU0M56huJmHnin3/RCEwcj+tqjMwzm8MQSlWQhKTVfqrUPgXvom1I/IbyhzF0EIJBGzaJ8IAkHof1SkAk+mCNhbgGeB04ETgSeB87TWt8bs4zngJOBvwBHA+bir/B8Drg1o/wfgDOAfuLUBLs7s+hlwjNb6JV/7pbhpQH+Fe8t/S+Y8D2bG+f24r1cQBC9pJ97k3rQQlOwyFHFcVEyB12XIXelMWBZDqqo97cRCIAjBxLUQ+H9D/UEQbG0+wI2rn+TJnWt7eyiC0CuUm3a0C631vcC9MdrNjNj3Km5NgbjnfAa38nDc9lmBIQhCBYnr/uMNKi7NZShMSNz2+nM8vnMt50xRvPPw4/P2m5aFKmMcU4eOZs2hnBGz709dBKF3iFu0rz9aCH648lGaOtt5Ye9m5o6cyIT64b09JEHoUSpiIRAEYXATNrm38E4gqioSVJx/XNq2eTyzsvfodp1X42DtoT2sOrC967l5sz9+3HRPW7EQCEIwpbsM9f10pU2d7V2P1zfu7cWRCELvIIJAEISyCSpIBvkritWGy5A+tIsfrHyYJ3euK+pcQelK/ed/5UCuZInjOPzklX959k8yYgfOmDzHs68fLGYKQq8QO6jY7zLUz0R2vFcpCAMLEQSCIJRNmIXALwhMVx2ANYd2c8vrS2nt7Ih9rnbbu/pvO44ngxDAL1c/wT2b3PInTal2j7tQfbLaUywtaSV4+8xFXc/FQiAIwUhQsSAMXEQQCIJQNvEtBMnAdg2pttjnavUFDqcdO9Al4bEdrwOwq7XBs/2sKfk1FP2uTYIg5JOM+TvxFyLrb4XJ5HogDEZEEAiCUDahFoK8GILgS07cAOPmVDtP7fK6GHXa6UBB0pRqx3YcdrU2erZfMn1hfsfGMPvb5EUQeor4QcXe36PfgtfXETkgDEZEEAiCUDZhWYb8LgZhFoK2dHi6UJMX9m7JP7dtB044HBza0imPIHjz9IWBYzBXBPvX1EUQeo7YLkN5MQR9P6jYQ0zhIwgDCREEgiCUTTokY5A/CNEfQ5AlriDY2XIob1unY4f6KDenOjzuSKNrhwa2M0cpMQSC4OK3liVizpP9v8f+ZnUTOSAMRipWh0AQhMFLmIVg+rDRnudmliGTts541YdrkvmXLNfdKEQQdLZ7UpDWhggSyxAu/WzuIgjdhv93bcf8bfT3oGKJIRAGIyIIBEEom7Cg4vce8QbP83ItBP76Au6504St6TV3tnvqHVQHCAryju5fkxdB6C78NT/Cfud+/Fa2/hZDIAiDEXEZEgShbIKCgj8y7zTG+Fx0woKKW+MKggDXpJQdnGUIXJehDiNNaU2YhcCQBHFXQQVhoNPplCYI8lyG+rjI7m8WDEHoDsRCIAhC2QS5DB05alLeNiskWK89piBI2UEWApuwtQ3XZSg3qQkTBF5kciAIkG8hiDtx7m8uQ/4Fhf5WSE0QKoFYCARBKJu0z0Lw/xaew9Dq2tjHtwW4AgXhn6CAm3Y0bMLRlOrwuAwFxSCAL4Yg1kgEYeDjF+ClWgj6uiDwuzSFWRwFYSAjgkAQhLIxLQQXTVvAkaPzrQNRtHXGdRnKFw6dIYXJALY2H4jpMpSjv2VEEYTuImX76wnEFAT+tKN9fILtf119XcAIQncggkAQhLIxb6jJmLnKTWIHFQfEEPjrEAyrylkmXj2wg+ZUR9fz6kRYULFkFREEP3kWgpgBNn5R3dcn2H4LZ18fryB0ByIIBEEoG/OGWhWSWjSK2EHFAa5FfgvB5CEjmVA3zG1vp2nqbO/aF2ohMCsVxxqJIAx88tKOxiwwlueC08d/VX4LgWRFEgYjIggEQSgbc+IQlkkoyzXzTmdUTT2zh4/r2rajpSHWeYIsBGmfhSBhWUyoHxF4fHUyLKjYjCGQyYAgQH72MP9Kehj9LYYgf7x928VJELoDyTIkCELZmBOHQi5Dx4+fzvHjp5Oy0/zH038h7djsbWuiOdXB0OqayGMD0446aZ/LksWo2vrA48MsBGYF1j4+dxGEHsNvIYi7cu7Qv1xwJIZAEMRCIAhCBTBvqHFdhqoTSQ4bOqrr+eam/QWPCSxMZtueG3gykWBkdb4gqLISJELFilgIBMGP3yIwcLMMSdpRQRBBIAhC2XSWGFQ8ZUjOtWd/e3PB9mFBxaaJP2ElGBlgIagJdRfyZRkqOApBGBzkFyYrsQ5BH/9V+V9XXOEjCAMJEQSCIJRN2pioFxNUXJfMuQj94fWl7CwQSxCcdjTtuaEnsRhVEyAIQjIMga9gWh9fzRSEniIvhqDktKN9+zclLkPdj3NoD/aTd+Jsea23hyKEIIJAEISy8QYVx6kG7FJfVe15/pvXngpt63cN6jp3noXAYmSAIKiOqFLstRDIZEAQICj7TqkuQ317xT0/7WjfHm9/xP7nzTjP3Yd9109wWhp7ezhCACIIBEEoG/OGmizKQuBdtd/SfIDXD+0ObBvkLgSuGEljZhlKMGXIyLy+Iy0ESKViQfDjtxDEXTnvd3UIxELQrTiOA5tXu09S7ThrX+zdAQmBiCAQBKFsikk7alKbrM7b9lv9dGC1YH+RpCz725u9QcWWRU2yipMnzPa0i4ohwOMxJJMBQYCALEOlph3t4zI7P4agb4+339Hqswjs3tw74xAiEUEgCELZFJN21KQ+QBAcaG9he8uhvO1hN+knd65jyfY1Xc+zmYTOmnKEp92kkNoEIEHFghBEpWII+rrIFgtBN3Nor+epI4KgTyKCQBCEsjErDVeX4TKU5a/rX8ybRERNRjYZKUuTmQDhyUNGcsK46QCMqqnnkulHhR5veSSBIAgA6bwsQ6VZCPrSinvKTudlNMsXBBJDUEmcQ3u8G1rjFaIUehYpTCYIQll0pDvZ1nyw6/mkISNjH1tXlW8hAHj14E52tBxiilGnIO6qXcLIGHS1OoUzJx/BtGFj8gKYTUw5IKuDguDidxnq7zEErZ0dfPOlxexua+Jdh5/A2VPmAvmCpa+Md8DQsM/7vLWpd8YhRCIWAkEQymJj476uFbbJ9SMYVl0b+9i6AJehLI2pds/zuKuTZvGx6kSSuaMmRooBACyxEAiCn4HmMnTXxpXsbnMno/duerlre34Btr4x3gFDm6/GTEcbTmcquK3Qa4ggEAShLHYY5t8Zw8cWdWyYyxDk1xyIu2pXTAxDloRUKhaEPPyCwCGeO01+UHHfcMF5fMfrXY+bOnMLDuIy1M10duRvEytBn0MEgSAIZdFppAONWvEPwt9+xrAxXY/b0l5BEHd1Mlnmar8sDgqCS9BvLs7qeW/HEGxs3McXlv2D/1v5CM0ZS2PasT2WC7N4YX/LitTv8Fl7gfzMQ0KvI4JAEISy8FQJThQ3GfcLgtG1Q7oed5QoCBIlCAKzUrFYCATBxR9DAPlWgyD8E+yedhl6ZNtr7G1rQh/axa8zxQ79VdDNDGeSZaibSQVZCEQQ9DUkqFgQhLIwb6bFuuvU+FyGzArD7enSXIYSJbgMSdpRQcgnHVAMsMPupJ58S+DyfVt5ZNtrnD7p8DxR3dMTbG0UN1x9cCdLtq/h9nXPe9qY1y1xGepenACXIaf5UEVzu9mOwwt7NtHp2LxhwsySXEcHOyIIBEEoi3SJNQjAXc3/wNxT+Nd2zdlTlKf+QLsvhiBuUaRSXIY8R8jqoCDwxI61PLdnU972tnSKkdR7tnXaaX7x6uMArG/Yy8IxUzz7e9oFx28l9IsB8Fo//IJgoAYVO6l26OzAqh/esycOcBly9HMw/9SKneLl/dv4jX4acD//kybMqljfgwURBIIglEU5FgKAkyfO4uSJ7sX7vs25zB9+C4HHNclKhLoQlWQh8LgMCcLgpqGjjVvXPhe4z/+7BNjYmKsD0unYAda9nltxtx2HQx2tBduZrk+DIe2o096CfdP/QvNBrEs+SkK9oedOHuQytOFlnD1bcbZqrHGHYU2bV9YpfpNxDQP4nX5GBEEJiE1FEISy8E/Uy6EmkVujyBcEuRt4bTIZ2kfZQcUiCYRBzp62cP/uIEGgD+3yPO/wuRr15AS7MdUW63zmdcsfFzEgBcGa5yFTL8a571c9e3LTQmDWlrnlSzj/+iP2X7+P07A3/7hiThHTgiyEI4JAEISy8FgIigwq9lNrBPpFpR01hYOfkoKKzbSjA28uIAhFESXsgwTB3jZvCslUiSmDK8GB9pZY7cwqzC0+H/cBGUPgy/vvtLiiz2k+hNPdr9dI8WqpE/P3Ow7OuhVlncJcyJHK86UhgkAQhLIo12XIxFz5j7IQ+IORTUpzGTKfiSIQBjdRE/ggQZDyWQQ60r1rIYiDaSFo7vQXQRyA1wDfNdPZ9Ar2ssXYv/ok9h+/gRMQQF4szr7t2KufxWk64N1huAxZ80+BqpqC4yuHqoRMbUtB3jVBEMqinKBiP7URLkPmpKI2wkJQWlBx7pgBuDYoCEURleK3LZ1fYdYvCPIEQgUmm3GJm3zAdBNq8gW9DgYLARtX4TzxF/fxro1Q5gq9vfpZ7Ju/iPPAr7Hv+DZO5v11dm8CM+XryAlYx5yTd7zz8B9wmnNJJZyguIOYVCfCXUqFcComyZRS5wKfBxYB1cALwHe01ouL6GMu8BXgdGAssBb4NfBzrXXeL1QpdQrwBeBUoB5YD9wBfF9rHRhVpJR6G/AfwHFAHfAacCPwC631AFwWEITupZIxBKbLUKkWglLG4NEQA3F1UBCKIEoQBFkIOgsIAL/7X3cSldEo+zN3cF1MbMcmYSVo9k0+B2RhMp9blLP5Vc9z+9WnsVJtWEecgFUdsIIfgf3CgziP/Tm3oWEvNB2AEWOxH/2jt3F1DdaC03Cez58a2ot/Q/LyT2E/8VecZYuxFp5O4vyrixoLiCAolYpYCJRSVwP/xJ2YLwWeAU4DHlBKXROzj0XAMuBdwCZgMTAN+Anwh4D25wNPAJcAa4AHgVHAV4GnlVJ5ebWUUl8H7sIVHEuBxwEF/Bz4frxXKwiCie1xGSrPd7PGcBna7Qts9AQVR1zwy44hKPpoQRhYRAqCgMm9P6DTH0MQJCK6iyj3pOpE0rNgkF3M8LsMDcSgYvyWHWM1HoB1L+Es/i3O03cFHu407MN+8Hek//p9nD1bvPtMMZAlE6PA9rWezVYiiTV2CtaRp+Qfs+lVbP0czrIHAAdn1RM4rU357QpQLS5DJVH2u6aUmgL8EjgEnKC1vlhrfQGuIGgAfqyUOqxAHxbupH8EcKXW+nSt9WXAXGAl8F6l1OVG+zrgdlzBf5nW+mSt9aXAHOBe4BjgM75znINrTdgGLNJaX6C1Ph/XUrAX+KRS6tiy3gxBGIR4g4rLtRDkVv4PtLewyUhn6AkqrrCFwESyDAmDnbRdXAxBp+O1CLSl+6ogqPJco7JuQ82+1fMBGUPgdxkKwXnhwcDt9t0/xXnlKdi8GvupvxfuyFcZ2o914Yewznlv/vn9GZAO7Sl8Lh/VllgISqESMuo6oBb4odZ6VXaj1noZ8B1ct5xCVoLzgKOBJVrrW40+9gDXZp5+wmh/MTAGuEdr/XejfSuuhQDgQt85vpD5f7XWerVxzGrgu8AW4IQC4xQEwUclXYbG1g71PF+xb6txHjPtqGQZEoTuIsqHvj1GDEH+Mb0jCIb4gldr8iwENo7j0DwYYwgicHwXQWf/DjCtAjs35PaFxGw4rQ1uIbQQLMvCGjWh8FgOFZ+OtEpchkqiEoIgO/G+K2BfdttFpfahtX4a2A2cnnUD0lrfCUwHrg/oK+sq1HUFUkqNBc4CXtZaPxxwju9pradrrX9dYJyCIPioZJah+qoaFoye3PW8NZ1buUvHDCoeXl1X9HlNDSEWAmGw418hnzsyN3Hzr/5Dfh5/P0FuRt2F6f8/1CcIqhMJqnyCoN3u9FQthgHqMlSEILB/8xnSf/shTuazzksJ2tKAk7UAhKV5bWnMuQ1lGTne+7x+WOHB+NyTgvALGMkyVBplvWsZV5/5uIk5Vgc0WZPZtyDTNowFmf+rQvZr3LHO79qg9RatteebopSahGuVALjF2LUoc/xzmXZnK6W+p5T6tVLqPzOCQRCEEkhXMIYA4Phx07setxo3MfM8URf8ETUlCALJWy0IXZi/tRPHz+CNk4/oeh4ny5Cfjl6yEOQLAq/LUNq2ORgwoR2QgiDgcwulcT9sWoXz8uOZ5/vy22RjA0IFQUOe21Digg9621TXFhyK89x9OE0HI9v4BV0pVmKh/CxDo3HdhfZorfNyRGmtO5VSe4EJuCv3YU5l2SXBHSH7s9snBu1USn0SeCtwCm5cwTe01jcYTeZk/u9VSt0BvNPXxReUUm/XWj8Rcn7zXFcDVxdql+GYmO0EoV9xqKOVW19/jhE1dR53gHItBAB1RqahVuMmZsd0TRpRioXAeDwgJwOCUAR+kW9OrP0pOqF3XIa2Nh/gT+teYNrQ0Vwx+ziszCTQIwh8E87qRIKkbcQQODY7Anzdg0RPv6ez+DSezoaVcMw5gdYFe+n9JOccB20RgqDVsBDMXIg1da63zcjxMHRkfoCzfxzbXg8uaJahzTe+QhYrIZhyBUHW4TeqNGA2/ecwwgVBoX7MPoK4Ajg587gdmKaUGqe1zjqfjcz8/yjua74G+DuuSPlPXNeju5RSC7XWYaIky0zgzAJtBGFAc8Orj7MxYNWoEoKgvsoQBCEWgqjiY36/4VjIipIgdOH/rY0xYnv2tzfntS80AeuOtKM/XbWEgx2trDm0m7mjJnLM2KmA133E7z5YlUh6XIY6bZsdLfmT0T1tTTR2tDG8BGtjX8JJd7opQEdNxCnCZaiL9szUK0jQ7dqA09oIbcFZgJymgx4LgTVkRF4bK1lF4rJP4mx8GdpbcZ67z91+7lU4DxvJJSNiESBfwEVlyRLCKVcQZJcF4iypRc0U4vYT1sc7gH3APOBbwFXAsUqp47TWnbhWDHDTkr5Ha3175vle4BNKqcmZPq4jF3wcxkbgsQJtshxDTowIwoDAduxAMQDlZxkCqDcsBE2pdlYf2Mms4WNjpze1Spjcm6MW+4Aw2PEnChhTO6Tr+YH21q78/VlSTr6FYFzdUPa2ueIhKO6gXA525EoN6YM7uwSBTXjygQ6707No0WF3smTH64H9v96wh+PGTavkkHsUx05j3/oV2Lcd66Q3R8cQ1A4Jdv3JpvwMs5js34ljHjd+Ws7nf/9ObwxBgCAAsMZPxRo/1RUvNXWQSGAtPAN2b8JZmZlqFbButKbFQlAJyhUE2aWC+og22X1RyWQL9RPZh9Z6W+bhcqXUW4HncbMWXYGbnjT7jT1oiAGTX+EKgrMjxpg9103ATYXaASilliDWBGGAsSFEDEBlYghMC8G2loP8aNWjTBs6mqPH5LIXR1kISsPMMiSSQBjceKuPW9QkqxhaVUtzZztpx6aho41RhkgImoANqaole2tP2Wlsx+k2324zS6rpMuQ/X0tnR2ZcLi/t28IhQ1gsHD2FVQe2A/DKge39WhCwbS3sc1+Ls/RemDInt88nABLv+DT2Hd/MtwQc2oOT7vRaF6pquibozoGd0JqzGFkTprsZidKd0HwQx6xBMCSvNJQHK1mF9YaLu547pqW3gHXDLzjFQlAa5d5VG3B/8eOUUnniIrNtHNCmtT4Y0c/2zP9JIfsLxRh0obVOAdkqGdm6AtlEthtDDtuU+T+uUP+CMNh5ef/20H2VjiHIsqX5gKdQWdJKcOL4GXntzGwoxSBZhgQhR1DmMNNKsN+YTNqOHTgBq0kkqTHSP3ZntWLzN+sRBPgFQcrjMnSoo63r8fDqOi6evqDr+cp927otnuhQRysPbn3VU2elkjjtLThbfHlejMl54qIPY514EdaFHyLx8Z9iTZzhTvT92Gk4uNsrFMbnRJLz0E04T/wlt69+OJipRNcb2YlCLAShGAtDhSwEeTEEIghKoqy7t9baAV4BkrhFxPyozDleLtBVNrvQfP+OTHaiebhuRa9mtl2ulLpZKfWmkP6yDmfZb1T2/JMD2kJOiOwuME5BGPS8cqB7BUF9SAyAGU+QtCyuPOIkPjLvNL554ts4ftx0Jg8ZyWWzjinpnJJlSBBypD2r7O5vemxdLo7AvAaEuWfUJJIel52eqkVQyELgcRkyxnTs2KnMGj62KwapIdXGwY6o8MjSueX1pdy5YTk/fPmRir8vTroT+y/fw3n2nvBGw8eSOOMdJOafimUIvUD2bfes0FsTwq0m1tS5MCZ4mmXVR1sI8ijKQuCLIRCXoZKohN19ceb/pQH7stvuL6OPU4HxwJNa6+wSocKNE/hoSH/ZugYvZv6vxLVCTFRKBbnwZNsXzDIkCIOdg+2tofsq4TJUE1JUxvQTTSYS1CarOGH8DMbWDeWaI0/ny8dfwqzhpRn5zFGLy5Aw2PFWH3d/HceOzU0EH9+RW21OhUy+qhNJaox6Id2ZetQUAWYdAsuy8q4nVZ5KxWlP24SVYLiRmaiSY97SdID7N69ib1tTl5W1NZ3i9UMVXofc9Crs3hzdpirfChsWuOvs2+aNITgsaO0XmHkU1uxFWGG1BbrJQpB2bH6rn87bJhRPJQTB74E24LNKqeOzG5VSJwCfwc0QdIOx/XCl1DyllBls+xiupeE8pdRHjLbjjWN/YLS/JdPvFUqp9xjtk0qprwBvwnUD+guA1toGfphpdqNSarpxzJnA/8u8ht+U8gYIwmAiyqWmEhaCsKBgs5qo3xWgkucUOSAMduwAl6ETJ+Rc9BpSbV2T5c6AgGJwBYEZD9RcQtrLuIS6DFkWbzpsXtfzN06a41m06DAEQXa7R8QUSKcal7Rt87NXlnD3ppX85rWnPPuqK1xV11mzrHCjIEEQ9lobD3gtBGOCPbuteW9wH9SEhIIWiCHIw7QQRKSBfXrn+rxt4jJUGmXfvbXWG4FPASOAZ5RSi5VSi4GncdN6XqO1NiXwI7hFzN5u9GEDH8QNGr5RKfWsUupO3IJkRwO/1lrfY7TfAnwM143oNqXUC0qpu4C1wBdxYwberrXOOQi6guBOXNcmrZS6Tyn1RGY8dcAntNbryn0/BGGgE+VXW4ksQ2GY+c+78zwSQyAMdvxZhrL/zRofTZ3u7zGsBkF1Islowx1lX1t+utJKYVr1PPVKSHDJ9IWcPGEWx42dxltmHE3SmICnfBYCgJpk5a0aO1sburIi+ZMyVLKqrpPuxFn3UuGGxaRm7mjzxhAkq7EWnO5tM3oS1hGZ9eCwVK1FuwyZFoJwQfD4zrV52yrhMuR0tGI/8Tfs5+7DSXWfmO1LVOSbmCkC9hbgWeB04ETgSeA8rfWtMft4DjgJ+BtwBHA+7ir/x4BrA9r/ATgD+AdubYBsePrPgGO01i/52qdxsw59BDem4CzcCsmPZsb567ivVxAGM91tIQA4z1jVy5KdgLjnqbCFwJNlqKJdC0K/IyioGLx5/bMCvTNCEIytzbmPBNUvqBTmT9YUB5ZlUZ1I8gF1Ch+dfwYjauo81461DXu6Hicy0yHTxai9QoHQDR1tofsqGr+05bVc7QCTGQu9z4sQBE5Hm3eFvqoa64x3YJ1woRuUfM33SVz1Faysq1WIhcAKskpE4YkhCJ+QB90LOh27bNdPZ+XjOMvux3nyTpwHf1dWX/2FctOOdqG1vhe4N0a7mRH7XsVN/xn3nM8AbyuivY3rFiSuQYJQInbEdbZSE/VLph/FP7e9Frq/0mlHpS6ZIOTwpx3NMszwr88KgqgYAtNCsLenLASEBxW7bYP7SAZaCCrjMhQlhirp7+7sD07EmDj2HJzD5uAsvQ/rmLOxqouwEKTavCv0yWqsIcOx3nhFcPvafAuBdda74p8ve0xVddcnGVVULWwRysYhWY7YytZTwHXDctquwqorEIDdz6mYIBAEYXAQtfJSKQtBWGBx7jzdaCEQlyFhkBNmIQgWBBEWAiMzUfdaCMJjCPysCQnizboM1XZDqtSeEgSeQmBZ6obBtHkkZi/CecPFWMXGLOS5DEVPG62aeu8VtHYIiePOK+6cENtCEBYvkLZtksnS70dOh8/S0t4CIggEQRBy2D3gMlSogFHlC5PlEJchYbBjB8QQQLAgaPBPnDL4LQQHgirhVojQwmQBK8SzR4wNrKXSvRaC8NdeWUHQ0PXQOvOdWCPHwcSZXe48kWJg7JSuQmYcfgysW+4+7mj3WggKuf74XYYMUVgUMWMIDoV8/zodmyLsIPm0+T6zVLjb10BBBIEgCEURaSGoUIBcWKahrvNUWBAkLLEQCEKWoLSjECwIlu7ZGNhHdSJJrZGxp3szv5guQ7nzBC0sXDB1fqAgSHRlGap8DMHBkEkrQDrKB7NIHFMQjBiHNee42McmLvoI9j9+BkNGknjjv2FnBUHKF0MQUDjSgz+ouDYk61AhIiwEhzpa+ev6FxlWXRuaBjusPkYh7Kf+jvP6C+B3v+pox2ncD/XDi4+H6CeIIBAEoSiiLQQ944zfnecROSAMdkxBYFrjhlXlBEFjqo20Y/NKiN96dSLpEe7dmRve/M3avqBiP0eMnMDo2iF5FgsrG1TcDRaClgJ59CuGIQgYWlzef2vCdBIf+g6WZbmBxFlam3KPE0msQos+fgEQloa0EBEWgns3vcxzezZFHl7K++rs2oSzNDgU1lnxKM7qpTB0JIkPfjMXRD2A6D67uyAIA5IwA4FF97rymFTaQuDJ9CE+Q8Igx5t2NPfbGGoEo7Z0drCl6UDoKnp1IumxGHZn9Vg7JO1oWL2S4QGTueA6BJWxEPSKICg2zSeGgKqupatcozm+AvEDQPdYCPZtZ8eW11jfsBfHcQJTjY6qqWdsbc49qSRBEFHDwVn9LOBA80Gc5Y8W3Xd/QASBIAixcRwn1KWm0pP0KCpdzMdcSJSSNsJgJyyoeIgxSWvxVdk9blyukjG4k2nz2H3tzfzi1cf549plnsJnlcB0Y3QKBBVD8PUjyGWoUnUIWntAEDiOA82lWwhMLMuCmoAV8DiuMj6LgDV8bGmD8LkmrfnXbXxnxUOs3L8tsHl9VY1HgJbiMuRsfjVew+ZDRffdHxBBIAhCbKLWzmvjrB5ViLGlBqqF4J02iIVAGNwEFSYDqE/mBEFrZwcHOnJuNzOHeSd+DvmLBMv3beWxHa/z2I7XKzpej8uQJ+1o8BSnysoXBIGFyYqsVLxq/3ZuX/s8u1pzE3PHcSKrNEcVeiyK9pacr39VDVSHFAiLS9DxcRZ9qms9VgHrmHNKO79PfJy+1437uOHVxwOz0NUlq6gyxhdWQTsMx7FhX7D7Wx4DNE+1CAJBEGITFXC7YPSUHhuHmb2kEnjTjgrC4MZbh8C0EOQmaa2dKVKGj31tsor3zDmx6/FJ42eGWg3/uTW8xkgc/IkN7CLSjgJUB/jBJ7vSjpbmMtSWTvHL1U+wZMcavrfi4S7rQrvdGTnpr5jLUMPe3OMRYwsmZihIkIXAdEkKwbIsrHPeB1PmYF34Iawxk0o7v8+ta3t9bhFoREBcQn1VjWdRqr1Y686hfZHpTT30oDW8J5GgYkEQYhN1Yztj0uE9No6Kuyd5QghEEgiDG29Qce7HUV/ljSEwaxBUJ5KcOnE2h48Yx8jqeobX1NGWDk4XGZWGMw7+xAamgIkjCKqCXIa6gopNl6H4q8yNHW1d70djqo1ndm/gzMlH0BqRMtMde/nXG2fPVux7bshtGDmu7D7zYgGKIHHkyXDkyWWd3qqqhtohruUDaDEm+8Ora9nb1uRpX5+s9ly7w757oewLdkUKHtzAFAQD81UJgtAthE2WZw0fyxEjJ/TwaCpHQiwEgtBFnBiChlQbW5oPdD2vSSSxLIupQ0czPDOZDBPu5ab29Qcom+ONE1QcHUOQm3i+tG9LaOG1vDH5ro3rMyv2UQHF7nHlWwjsxb+BQzkLgTWifEFgjZ6cv3HGwrL7LYbE5Z/qelxriDMr4HOtr6r2WAjaOouzEDgN+3L9H30m1okXhTcemB5DIggEQYhP2G38sKGjyjdRx+TCafO7oVdDEIiFQBjkeAqTGe41ft/trc0Hux5XB8QQRVnyOov0zw8bn9tXblLtUF5Q8XCf7/zKmCvH/jFtbzkI5AuCt844ijMnH9H1vCIuQ3u2eJ9XQhCc/e68bYk3vqPsfouiNvdZ1Brfl6D4gLpkNfVGIHLRFgKzVkTtUBJnvAPrTVcGty1g9emviMuQIAixCXMZqitUrKZMJtWP4Lyp8zjQ3sq5h6mK9z8QY8Qc28Z56Pc4B3aROO8qrHFTe3tIQj/BayHI/TiiRH9QoGfCskhgBdYu6bTtQNedeOPzCQJjglioDgFEC4Jpw0ZjkVv8aIhZodb25Sfb0dKA7dgeQbBw9BQumX4Uf9vwkvFayhMEQQsYVgVchqz6Yfnbxk8LaNmNGOLMtBCkAly56pPVHmFYtCAwC5xlhUhYzYWO/O+Es2459suPkzj6LKzZRxd37j6CWAgEQYhNmKm/rgcyDJ0+aQ5vmXGUx4+5UniDigeGhcB5+XGcV5+GHeuw/3V7bw9H6EeEuQxFESQIILx6+Q9efrjkyfAyX3Vksx9P/EOIb0dVwJiygiBhWZxjLDrEtWT4F0tSdprvrvinx4oyIsCVqmwLQdDxk2aW12eGp8blEkUsnTK7In0WhRHYXGcEeDdmqmSb1FVVU1dluAwVG1RsCr+sEGltCmnrtfo4jo19909h/Qrsu35c3Hn7ECIIBEGITZg7TXdYCI4clctOcey47l2ZMqcNA8VjyFn9TO7JlvKyugiDixbDJSKu2K9OBLcLqyq+uekAT+5YV/TYbMfh9nXPe7Z5XIZKrUNgXAXM/amY+eyDrKcbGvfxj00ru57PHu6u3HsEQblBxUET31Jz//u4a9oc1g4byfqhI3hh1oKK9FkURqahWtvGyrzHTZ35gqC+SJchx7GxH/wd6T98CWf7Wu+qf0a4WUccH3ys//y+eAWnQvUrehoRBIIgxCbMZai2GwTBVUecxNyRE1g0dioXT+vmm5Exb2hNd1S8cFK5OC0NOI37izvIWJkUhGJoNCZHw6u9KR5PGDc98JiwYoFRFgYzKDkuQUG+nWZQcZwYgoA6BGbNArNOQakWgiCyiRdKtRDsb29mc5PvOuCffM48qiLxXHvbmmiuqub/jjyB788/EYaOKrvPYrGshE8UhH8WI2rqPPehtgJ+/s6rz+C88hTs3Yr9yK04xnfeygqC0RNJvO36/IP9Fgp/etpUzPSlfQwRBIIgxKYnXYbG1A3lU0efy7/Pf6OnWFB3YLoMtaU7+dLz91asSmmxOLaNfe8vSd/8RZydG3D2bce+8dPYv/kMzlYdv6OmgVlNU+he2tOdtGcmOFVWwlN7AOBtMxdx0oSZeceZ6TpNogRB2IS90Pj8FJt2NCqGwL8/FbPAVaFFhAQWE+uHA5BM5M4VVxDsbWvif5bdwzdeWsyzuzfkdvjej8Q574nVXyHu3LDc83xIN7hqxsIUBAGxAyOq61g4egpHjprkuQ8VchlyXluae7JnS6CFAMA6/BjwWwr8gsB/rgALRn9ABIEgCLHpraDi7sY/bdjd1sTD24qYfFcQ57VncdYsg33bsO/8IfbDfwA7DY6D/fdo/1T7sT+Rvul/cNYtz1UtBfpznjzHcbDv+yXp334WZ/Pq3h7OgKcxZVoH6vJWmyfUD+eD6tQ8S0FYDEHUpL8UQRBULGxfezMv7NkMVEoQGBVvQ1alD7a38JvXnuLP61/Aduy8QGc/tcmqrveyFAvBn9e90NX299pwBzQno8NGY42qTPrnF/Zu9jzvtcQLxuR8ZEDswDff8DauX3gWVYlkqMuQk2rPd3fd76tK3GH07cs0lXjjv4W3hXxBIBYCQRAGOmG3vJ4IKu5Ogkzs+9ube2EkwLbXc4/bmsHIj523MmXg7NmC88JDsH+HG+Dm3dtv/VpZtxxHL4NDe7H/+v3eHs2Ap8F0FwqqVpvBv2IcFkMQ5UpTKQsBwK9fe4r97c2+OgTBU5zAwmTGWKpixBD8cd3zLNuziUe2aZ7cub6gy5CZI98rCOLFEOxoCbH4me9HBa/Dw32VguO4RHULRmDvv69Znre7yngvawMEgbN+JfYv/xP7D1/EyUzUnc4U+F0wPWlHvW5y1shxJN7x6dyGvBgCn3tS3IrHfQwRBIIgxCY0qLhqYFkIoBuqIcfFP1nxTbTSt3wZ+7n78o87sDO6XzOtXj/BfvUZ7H/8rLeHMagwLQQjqsOr1foFQZiFIFIQlDAFCRMEDg4v79sesw5BeJYhd78pCIItBCv2be16/Myu9XlpR/2Yk9VSLARNYZNMc3wVFATDfJ+9vxhcjzFsdNfDEb6Jd5WV8Czm1FeZgsD9nth3/dhdSNm3HWf5I4DPXQhg6MhQl6EuxhiF2gpaCMRlSBCEAU5QPnHwrn71T/InDkGpCXsE/3n9vtl7tuA8eSdOky8gMyBQ0kNbL1k8SsRp3I/z4O96exiDDq+FoD60nT+uJyy9aNg1A8IzEEURJgjcMVil1yEwpkPVVr7LkO3YPL7jdR7dpvNEgo1TpIXAiCGIOdEOrXjcTRaCtO81pnspHXNUTv9On5jyxhAEBBUf2OX+37TKuz3dGZx21NP50NzjtiavxXWABBX397u4IAg9SE+mHe1JEgHzhqo+YyEImeg3HfKsnjkdBSwAbSE5tfsqO9YH5lh3bBurt8TaAGNvWxNbmw6wYMyUrklyQ0wLQVzBHDVRLiUbTlAMQZbmVEesOgTFBRW7/T26fQ1/Wf9i4PGOE0MQGJY+UzyVUofA7MsjCELctkrBP9nuLQuBdfplOMseyD13HJyQ703BLEOZa7qzc4N3e6odzIDlAFc5q6ratSQ0H3JzUzcdhGwBuE5/UHH/FARyVRUEITZhq301FbwR9Q75N5hecxnyjyVs0uRfAWtvie62v1kImkN8pvubsOmjtHam+NqL9/OL1U9w18YVXdu9QcXhMQRBqTuDCFtEgMpbCA6lWmPVIQhawAiPIUjz5M51XWIA4Na1z3mOteMIgjJiCPyT8RFWAifrluKxEJRW+TmITt85eysVs2UlSBmfR3WEMDGDitvTnfnfvYSF09oIh/Z6t6c76YqQq6rBCluEGWHUdzBju3zfSUdchgRBGOgE3dyPGTvV47vZH7GCBEEFV6Ed28bZ9nrhVXwICFALyaftFwBt0YLAMW9gfRwn1YHzrz8G72xp7NnBDFCe37Opy8/64W2vYTs2W5oOcMD4Xo0I8qXOEBSYG0TUCniiBNEdZSFo7GiLVYcg6HoVZiF49cAObnl9aV57E6dol6HiLASmu9CY9lb+6/mHsW/4D5ydG73uKhV0GcqzEPRixcaU8bpqImoRmG5s7XYn9gM3ehtYiZzbUBj1w0J3WYYgcBpNQeC7RovLkCAIAx2zqOak+hH8+4I3MqFueO8NqEIEzRsq6TLk/Os2nBVLYNQEEld/I9rlxfRlhdAANae91StjgiwEE2fArk3u40I3wj5EXtCfSasIgu7g5688xqoD3lSMI6rDYwiGVcfLSx8VQ1DJLEMAhzraYqUdDYp58loIon/7Ccsbq+BaCKIn9nVhMQQxBEGrMeE8b+cmhmUWCey//YDExdfkGlY0hsAvCHqvWKNpIYgSBAnLojZZRXu6k1EdbfCa15KDlSi8oDBsVPg+swK0aWWQoGJBEAYb/gweE+tHVKQqZm8T9ApKmayE4axY4j44uBu2v4798uNutqBXnsxv67+ZhN1c/ALA/3z0JKzjzs/1e7D/CAJ2bwzd5YiFoCL4J8V+MQDRaUcXjZnKuEyg5flTjwxtF+UyFLUvjChB0JiKJwjqg1yGzKDiAtaPoBiCQkG3oRaCGL75poVgYqvxO29v8a5OV1AQ+Auy9VraUSCVjCcIIPfZLjy4N3+nY+O0FnA5jKrIbMRsYaaBzStMJhYCQRAGOHFutv2RIJehbjORpzpw/nkzAM6Dv8eZfyqWaY2ILQi87keOIQisY9+EdcrboHF/bppyYHeZA+85nKgqy2Ih6DGigoqTiQRfPO4SdrQcYsawMaHton5FpfzG2iNchtrTnZ70p2FBxQVjCArER1RbSdrJjSNelqGwtKOF34NWw21wT90Q5jXmMoyZE1yrQoIgKCaiNy0EHcZnWpuOk961lZnNDfk7U+0Frx+WOen3Y7rQGW5BeTVeUu04uzfD6IlYEXE4fQ0RBIIgxMa0EARNovstAS+lUkF0zt6t3uctvhtVazMMMdyu/AIgbEUsIobAOvw4rLqhOKbQ8Kcp7cuY/rl1w7yBxIWCp4VYhOXXNxlWYDJTm6xipulGUSSl/MY6IiwEKTvtcfeJqlScwAqNNyjFQlBUDEGRWYZa07nJp+WTWM6z9+SeVCi5Q9CYetVCEOIy9JbpR+W1zbpmDQ2KvUp1FF5QiHAZsmpqu959jyXXH1S89F6cpffCiLEkPvDNigm17kZchgRBiI03x3cvDqTCdJeFwOlow/7Dl7wbD+7xPvdn0+nwxRCEEeUyVJfx/TYndJ0dOBtexlm/AqcXV/ti0ZCrIpr4t/+CsVO6njvb14nbUJm0dHbw+qFoi9GomvqSgn6L4ZldG7ry/MelPR3evtNJx6pDYFlWXjFFryCIft3+GAPXQhD9mzLTYBYbQ9BiHFvrf/1mxd0KZRnyZxiC3rUQtBuv6z/1i8w/uJcpQ0ZyyfSFeW2z1p8h/lSgZCbx5cQQmBazQ8Z1PEykNuyDDS9Hn68PIYJAEITYeGIIBpCFIOiVVOIG6Lz0SP5G/0SsxScIYgakOS8/jmOmEg0orGMlEp46Bvbff4R9109g7UuxztEbOKn2nEUgWQVjp2Ade26uwYaV2L//fL6lRYhFR7qTby9/kGd2bwhtM7F+BJfPOrbbx3Kgo4Wnd4WPI4ioLEMp2/a6NUZMcfxxBOb1rFAGJb+FIE7aUfMYM01zVExElpVGVeS6qPYVWolOO/miqzezDHX4BNh1r69g0dipgYIva30ZElSYLNVeMIbAioohMAPpd2/GXpqpGB90ri56730rFhEEgiDExrwnDIRg4ixBr6UcE7nT1kz6zh/hPHVn/j6fhcAxfF2dVHtRGSo87gJmqjvT1zUgxaJ9/4152/oMZnrUYWOwrARW3RBvm/YW2Kp7dlwDhCd3rmNXhNvEyRNm8tUT3swbJszskfHc5svpXwj/71KNnNj1uNNOx45z8scRmNaQQi5DfsHgON5xHT9uOp9YeBYfnnca4LoLnTbp8K79Q6tyE8uwCsRZy8me1iZW7N/Wtb02yqJSIUHQlywEjuMQVEFleMhntDfz3R4aYCHIcxkaOjK/TVwLAeSu7xFWq8Cqx32U/uHYJAhCn8Bjjh/gFoJyYgicp+6EjSGm4oPBFgL7+QdxHv8LUStK1hsuwXnuvtx5Vj6Gc8Y7XB9V09XIdBWqqsl3QyrSTaNHMQXBiEywau3QvGZOR/sA+gb2HC/u3RK5f0hVvHSivYV/Yvr+uSfzP8//A9tx7Zcdxnc7UhBUeac/xaQd9RdUs3E88QijaupZMNp1c5s9fBy1ySpPPMaQAoLgV6uf4OX92/m32cflXQ3qoiafFYoh8NcggN4rTPbAllcYEjD5nxhSd2V/xnUy0ELQ2e6tKjxsdL7LZqSFID+mxnHsaAtBX77W+hALgSAIsfGnHR0olBtD4PhW1Jx1K0Jakl9pN+Mv7672R5/TWnQWics/mdvQ2QEtje5NyZxYmKbtoFXDPpz5wiz401UIyG8hgHC/XSGSfe3RLhN9XRCYixLXzn8jY+uGelb0TZei4iwEubZJKxHpEukXJY7jeLaZfY2tG5oXnF2brOrqv8NOe+IoNjbu48W9W0jZaW5buyyvHkrvWQh6x/Xl7k0r81yGACbs2RbQGi6fdSxVtk1NUDrXVLvHtdKaNi+/TW147Y3A62ZLY/S1SASBIAgDEWeAWgiCXkpcE7m96knsn1/ndcMp4ibgrFnmugrFqWKcrMaascATZEtbk9ddqKrGm8Y0qIp0X570GQHFXYWAAiwEdPbP4j+9TaF5XX8SBNmV+mojTaiZPSnqGhUlCADG1AV85zL4J8y243iujYWCsS3L8rzPGwwRfNB3HfDHGNR2YwxB9jUEZxkqzkJQSYtCe4CFYOzSe7FXPpa3/dQR4/j06ueDO2rYB0bskXXym/OaRLrCBtXlaDoYLQgi4wv6FiIIBEGITViavv5O0MQhbgyB89Dv3WC115biZKsCGzcB65KPRnfQ0gDb18YbaNbNod5IU9rS6I078K9iBeRc7ysWAvu1paR/81nsx/+S2xjkMhRkIUj1z+I/vU2QO4hJpQXBNfNO73o8vALfOztgJT7Mxcfv2mMy1Pc6/RaBa+efEXqs/z20cTwr6HGujUMMK973Vz6cm4T7rjttvgllXpYhkzIEweam/Xx+2d18a/mDNAfEMRVjIbh74wo+8fRfuGtjhKW0CFIh8QLOw3/I21bz+N+YbmQSSgXFCQBguf795uJKIYK+v00HIif9TtTn1ccQQSAIQmy8QcW9N45KU7EYgqYDbpGabNEwy8KaewLWBR+IPMxpbYI4KR6zk/v6YcaxPkHgX8UKshD0EUHgPHILNOzFeX4xzo717jajboM1Ypz7IMiML4KgJKLy+IObYaiSHDtuGtctOJNPHvUm5oyYUHZ/6YAsQkFBwFbI9ix+4eNf1Z86dDSLxhwWeOxuX1C2m2Uo2GUojKTvfF954X5+umoJv1j9hGd7qznZdJwCLkOlpx395atPsL+9hY2N+7hr08q8/XEtpo7jcP+WV0jZaR7Y8oon3WqpNFYHXMPCzq+Xep6n6ofDkIDvdE0tlmVhHfXG3LZZ+XUNTKyA75PTdNAbVDxuqrdBP3JtFEEgCEJsBmphsiAzcZwVMSeojZnnun64myVnyhHRHbU1Q5wbbuaGZJmFzFoacLatyT33Z7UIWvHtK24hRrVlZ+1LOA17ISsIklUwaRaA6wI162jvseIyVDS240Sm7axOJJkeVam1BBKWxVFjDkONmsilM48ufEABgrIIBU38Jw8ZSU3Eirm5Qm/2ZXLlESfFGpPjq1QcJyXzoQ5vUOyu1gZWHdie1850Gaq109GTtjKCive153L5rGvYk7c/rsXUbz3Z2nyw5DFlOVBTeqaeVE1dcDahbGrmRWdjzT0RJs4kccY7ij/BzvVei/Bx58LEmbn9/UgQVCzLkFLqXODzwCKgGngB+I7WenERfcwFvgKcDowF1gK/Bn6utc67WyqlTgG+AJwK1APrgTuA72utCzrkKqXeBdwO3Ky1vjruOAVhsBI3pd9AINaKmG/1y+lMYZmrh9mV/BFjXQtAWJ++TBfW8efjvPBQXrMu4WK4DDmP/clruvFNdAJdhgpkUekNnB3rYOzk3IapCsuYCCTe+nGcB3+H81pmBVAsBEWTstORYeuzho8tmIO/HCYNGckbJ83h8Z1eF7nndm/k8BHjGRvht5/FJvcbSna5DOWPeXbWuhRCnstQwPVseE0d04aOZktzdJVvfx2COAXdWmKunLeaRckKxSZFBcSWSTooSDcAfwXsLc37mTNyfFnn3h8hCOyHb4FR47GOvyBwYSdVXRtc7DHTp5Wswnrzx0oem7PmeZh+ZG5Dshpr8uE4uza6z/uRIKjIXUEpdTXwT9yJ+VLgGeA04AGl1DUx+1gELAPeBWwCFgPTgJ8AeY5iSqnzgSeAS4A1wIPAKOCrwNNKqeH+Y3zHTwFuiDM2QRBcBqqFIIhYK2JB1YJNQZAxVVvJKoiaoJiCoH4Y1hlXeNyC8jBjCPzjzLMQBKz7VMCMXy551pX2FjCKBlljJnl2W8kqmGmY9EUQFE17hK/zuLqhXDpzUbePYf7oyXnbfquf5psvLc6bTAaRDph4B8UKzBg2NrKffJeh0q9njuNNOxoVu5Bl5vDo8WVpMixhwwpM2awyJ95R2DjBFlEf/s+wEhaCKEHgrFzipmsOicPqqKn11mXJUobVwUOqHdYt73pqjRjrdd2KsMj1NcoWBJmJ9S+BQ8AJWuuLtdYX4AqCBuDHSqlgR7xcHxbupH8EcKXW+nSt9WXAXGAl8F6l1OVG+zrclX0LuExrfbLW+lJgDnAvcAzwmQJD/y1QWduoIAxwPHUIBrYeCLUQOI6Dk51Q+zKCOK8txdm/s+u5ZU7cR4X7T3uq7lbVYCUSJC78sGtZCCJKLPjiA6ygGIK+kPnCP/nr7PC4EFGTH0hsGdYPRy/F2ROdU1/w0h4S4PiFYy/kGye+jcNHdN+EMovfdz5LU2c7m5v2B+4zCbJSBrn3ja+L+I1QWUGQjkg7Gsa7Zh8fq+9GY3V7hGEJaR0+Bmuez6Up4hpTCeIskvgFQWsFFh9SMWIjnB3r3fTLPtqrakic+vb8A4Kui7GI+GwTSZgwwxvcPcgsBNcBtcAPtdarshu11suA7wB1QCErwXnA0cASrfWtRh97gGszTz9htL8YGAPco7X+u9G+FddCAHBh2MmUUtdm9j9eYFyCIBgUk1qvvxN083NS7dh/+CL2r/4TZ/Nr4C+Os1Xj/OuPueeGr781eiKhNJuCwL1RWbOOIvGh72AdfSbU1GGd895cX7UBWXey++JkGeoDFgL8BZk62rwCqzZgBc/32uyHbu6GgQ1c2u3gz71QZd5KEjVZrrIKj8MM3s2Ki84Ay8KYiN8IBAiCkIleHJ3g4HhSkcYRBLNGjGPR2KkF23ksBMY1N52syhcAQcGzFSSOG6U/JWscq08cDhRKhNB80I3F8tFeXYs1fR7WJT63oPYYaZ4DSFzx6fzA4SwTpruLFoNYEGQn3ncF7Mtuu6jUPrTWTwO7gdOzbkBa6zuB6cD1AX1l78CBn4JSag7wPeAh3PgEQRBiYl7qB5qB4IKp8z3Pg25+znP3w77t0N6K/dfvYT/2p+hOTQvB+Iibv2lWNyYqlmWROPcqEh//GYljzsm1ifAVdlobvBuCAogDqqP2OH5R0tHmsxAEvEb/a9m1ofLjGsD4c9pnqa1QQas4hFkIIN6EM8hCECgICsQj+AVBWP75KUNGFRwTQJOR6SuutWFU0Hc8ot+hxntnJ5MwzDu2yBz6ERTKPJUlzufjFwDlCoL6zILGL+YuYs/UuTAqeGHFeeEhnEdvy9velslQlFAn+nbki4c4WNPmkbzqK1inXZa/LysUPIJgkKQdzbj6zMedJ6wOaLIms29Bpm0YCzL/V4Xs17hj7bpja623aK099mKl1CRcqwTALQHjTQI3AyngQxHjEQQhAKfITBr9ictmHcPHjszlHg+0EPj9VHesi+7UWLGzxk8Pb9dkBC0GmLLzbvT+OAGzrT9LTJBpvE9YCHxjSLXjmDEZQaLHHzAtFEWYIBgZY2JaKaImy4VqJIA/hsDtKxUQ8FrI6lGfjPddunzWsYyorqO2QAYfryCIN7WKI8TMCbXfQmDNOykXp3TK22KdM4ib1jwbq91f1r9UsI1fnAVVPS6GrAjZOmQ4oy7/JMkPfhNmLgxs6+hledvawlyDShQEXQS5c2YtNuZ3pS+4Z8ak3GWB0bjuQnu01nlLTlrrTqXUXmAC7sp9g79NhmyU0Y6Q/dntgdJQKfVJ4K3AKbgLl9/QWgcFDH8GN/D5/VrrrUqpkNOFkwmgvjpm82OKPoEg9GHMwLlSV6P6MuaqYeBqWJEr65bp6x+3AE6clKD+gDjLcm9Cjo214DTvviCXob5gxg56Lw1LiRXHQhAVSyHkESYIolbtK01UwG2cTDZB+f5LWYUeWl3D/NGTefXADo4fFy7WR9TU8e03XErKTvMfz/wltF2z4doTd7GkPui3GcEQo990IolVU0/i6m/Aod2u73oJ7Gtr5oW9m2O1fWrXOq6aG52KNc9C4JS3Qm4KwOz31Bo2OjJblkmLKQhGjM0VPhxeXgipNTx/DFZWEPRTC0G5giBrk2uJaJO1AQ8jXBAU6sfsI4grgJMzj9uBaUqpcVrrvdkGmSxGXwbu1lrnl7eLz0zgzDKOF4R+izPA046ar2nNod20pVPUmTftYjPbmBaCuKvbcYLd/IJg+nwSF34I7DTW8DG+/oKyDHXgOE7virqglbNGw1ISx0IwdFRFhzSQsR2bl/b1fhB21Op5Z4zJox0wQfRPOj+x8KxYY7luwZlsbz7EYQW+R8lEgmSBVL2luAzVFS0IctiZVWirbgjUzSyqH5MXY4qBuPitPEHuXHFxfMHaXYLgyFPc9MPpzoL1WzoMEZV487XYf/y6+/jc95c8LgBqA1zSggRBBbMMOY37cda+hDXraKxRlU8AUK4gyH7SccRa1K8pbj9hfbwD2AfMA74FXAUcq5Q6LmOlqMF1IWoAPhpjrFFsBB6L2fYYIKxutiD0O+wBnnbUfyN/ZNtrXDLdSHVZrKuNWUAM3OJaG4wqoIlkfradOJMEvyCoqcMKKr4T1V+60yM+nNYmnFVPYE2chTV9XuExlEvQe9l0MPc40ELgCywc2r1BlAOJB7a8ytLdG3t7GJGT5TALQaed7qo1EBxD4D1uweh41riklWBahQqxNZYiCIrIdFOTSFKVzr3OdBlViU32+1MnG6iRE9GHdhXVX34MQekuQ/5ib9n31ZqmSFz7I8CCHWux//qD0D6ajEUEa9IsEh/6trtwMnpS6DGx8FeEh5wbkfnZVNAaa//j57BrI87yR0lc/TW3YKOBs34FTtYCUgLlCoKsE1aUA2J2X1NEm0L9RPahtd6WebhcKfVW4HncrEVX4KYn/RpwFPBvWuvivt3557oJuClOW6XUEsSaIAwgVu7b1vU4MfD0QJ7rxD82vewVBMZNPxb1XkGQOPvd2Fteg84O1+d36Aich73hTlYMlyHL53tsRa1ehvWXTnkFwRN/xVn1BE4iSeJD3863NFSaQPcrY00oyELgF0IRsRSCl39sWhm4vdhV6nKJck9KBaz23rj6SVbs28q/zT6eM6ccEbhiXJNI0pqZLPdkgLRJOjsRtqzYLlhVRbhq1SWrqTZSkHZWKDNUVOXqmhJEh18QlGMh8HzWvmtcNpuaY1YFNmhNJlk6djL767zZpipWqyHo2pO9Zpm/qQoJAifVDtliZwd2QkujpwKzs38H9l0/gUP5VabjUq7jYAPuZH6cUirvV5jZNg5o01ofjOgnW687TLIVijHoQmudAv6ceXqsUmoi8OnMON+mlLo1+0cupekZmW1fKNS/IAxW9vt8TQeihaDgjbzYQDT/zWjUBBLv/V8Sl34C66Q3kzj6rPxsFSXnxw7GCqtl4K+yvOoJ94GdxlnZAxmZC1lbAiwEVlU1TDeyQcWpJi1Ecu38Mwo3qiDFWAg2Ne7nhb2b6XRs/rjODRj1rxoDfGjeqV3bzMQAleaoMcGWh/rOFJ97dRlffflpJrc0xbYQFHJVMqmrqiZpTK7TFRI+HRE+7oUCqYOoZJYhr/gLeU9r6r0uOkC6upZPH3smf56hyhIkkfjToNbUda3YW4ZYcyplIdi6xvPU2fKa9/mLD5d9irIEgdbaAV4BkrhFxPyozDleLtBVNrvQfP+OTHaiebhuRa9mtl2ulLpZKfWmkP6yy3jVuNaFBG6cwnt9f9mryOzM8/MKjFMQBi1/2+DNMDGQYwimNjdynX6Ji7et79rnOHZoxgjr9MuwTr/csy1x6SfyTLoA1tgpWLMX5Vb1/W4vcYKKi2HWUVjHnw+TZnm3R03I/alLu4NIQWAFm+SBxLHGZb/MDCaDmctnHcvnjjmfeaPKdJ0okqigYr//+b72fAFuYwYVu7+hhaOn8Mmj3sSnjj6XI7vx9bx3zhu4ZPpCanyr8xfu2Mj0lkbGtbfx0bUrixIE751zImdNDpo+ealLVlFlCoICMQ1xiZqw1ySrPOmYxwb5zfvwu2/FiQuJ01cypEaFZVl5llinqhon8xl0dJcg8C/cmNftCtchcFoasP/+I++2+2/Eadib29AW5YQTj0p8oxZn/l8asC+77f4y+jgVGA88qbVuzGxTuHECYfEA2boGL2qtN2qtraA/4MpMu5sz284qME5BGJS8fmg3z/uCzwZilqHsZOX9G15lfsN+3rx9A84W7e7sDL6wWxdfQ+INl8DIcd7tsxfFOqflLyZUkoUg/LOwklUkznwnyff8D5h+sxEZk5xXns5VY+4mnKiMTfXDAsUU4MZdZBFBUDInT5jJrOHjCjesMFFBxX4LQdDqblDaUcuyUKMmMnfkhG69Lo2uHcJbZxzNQp+lYE7jwa7HE9pbiyra+MbJR/DuOScUbFeX9FoIOitlIYhyGUpUcebkI7qe2xFhnluaDvDEjrU0pto828uJIYhlIYC8gmy2sXofVMW6EuR9z8znFQ4qdtY8H7zdsOQ6rX1DEPweaAM+q5TqqsWtlDoBN81nK3CDsf1wpdQ8pZQZAfcYrqXhPKXUR4y2441jzaiRWzL9XqGUeo/RPqmU+grwJmATEJ4jTBCE2Dy1a33etoHoMpSwEhzeeIDDjIurs365+yDMOpDxtbfmHAeTD4eaehKX/kf8k/qDgSttITAxffA72sLbpVPYf/y6axXpLqIEx8iIiap54xWXoVgE1dQY3kvxF9F1CLwCwD9ZTTu2L8tQ71yD/BaCdt/z7qjRUuuzEFQshiDKZShZ5fm8nJDJdUtnB99b8U9uXfscd/tiVTrtdOhxhfCkHI2yiPgtBNUF0keXweoDO/nS8/fyx7X+mgchgiBkISkuTqoD56k7g3eaLqzl1lWg/KBitNYblVKfAn4OPKOUejSz65xM/1dprXcbhzwCzAA+QCY4V2ttK6U+mNl3o1LqQ7hxBWfh1jr4tdb6HuOcW5RSHwN+B9yWOf8WYBFuWtA9wNu11hF3PEEQ4hKU/WMgugwlbYdPvfaid2P2Qhtm+q114wSsZBWJd/23WwugmJv12MNg2Oiu4mTW9COLHXaeD20oRqCus/ZFGDMJq3ZIcNu9W2H/zvj1E2LitLdg33MDbA6qZelijYgQBObEQARBLNp8YvZdh5/Qaxa+qDgdv8tQky/Nb3u6MzDLUE9T4/Ot7/AF33bHuOqT1SSNa1BnhVyGoi0ESc9rCRKWAM/v2UR7SD8O7qS8KsTlJwpTIEYFYFtDhnttF0Y2sji1LYrhR6vcKe7O1gbe6RlE91gInFef8lZwN/e1GK6dZsrmEqnINypTBOwtwLPA6cCJwJPAeVrrW2P28RxwEvA34AjgfNxV/o+RC/412/8BOAP4B64IuDiz62fAMVrrwiX1BEGIRXWFbj59nWRH/oXXeeUpN8NDWMVJY0JtWVZxYgA3UDbxvi9hXfBBEu/7Ihx2ROGDcOMWMifFOvkt8U5mBOo6yx7AvuNbOFE+tlFWhBJxnvp7pBgAClgIxGWoWB7emgtAHF07hLOnFPZZ7y6KCSpu8mX1cgVBfgxBT1OdLGAh6AZBkOcyVCELQVQMgYPjsQSHCYJClFqtOG3n15wIZIjfQmC6DPXQNSJMEMQoTGa/8CDpe25w04ZuftVjUXGefzD8wLUvYj90E86eLRWJIahYfi6t9b3AvTHazYzY9ypuTYG453wGKLled0asxBIsgjCYaQ1w7yjVDNyXSYYEwNm3fY3ExR8J3OfPJFQK1pDh+RWGCx1z3PkwYhzWyPG5CpmFjqmt966k7dsOuzbB5Nmuq5Lfrz/VDYJg9TOFG0WlPBULQVE4jsN9W1Z1Pa/upUl0HPwTx6ZOryBo7ezo+v5a9J6F4Ogxh/HINt31vMM3OU92g8tQVSJJMt0NLkMRK9gddtprIQiJISgkzFJ2mjqKj40KSjEbiD8Oq6b7YwjyMMdnWpDCFpIyOLs24TzmJsa0X3/B7erMd7qJIMAVO2Yq0ZHjPc+dVU/g7NtOJei7VwZBEPoMrQEXtaCc4f2dZNhqzv4d2Ld/M3hfd/r8R2BVVZOYdxLW5NnxDwpwD+rKVBG0UthRZN2FOAS8x9Zpb4cxk3PPp6rw481JoFgICuKfxO2uwEpiOUQtJKw5tNvzvMknSDc27e963FvWAYB5oybx1hlHMTsTlO345v+JEjLL/Pv8N1KbrGLGsDFcO/+NAIxItfNx/RIfWvsyDS0Nnn57IoagI532xGnYIdf8QrEcj27XkfvDiKpD4MEXQ+BxGeoNC4FZHb7Ad8HRz+Vve+xPOHYa58AuqPFesxNXfdV1MTXZsa7o4QbROxU8BEHoV7RkVo6Hpjp452ZNykqyNmY10P6E1bA/fGfQhX3izP6VbSmo2Ne+He4kLUAQOKn2yq91BohLa/YirBMuxHntWawR47HGHRZ+vCUWgmIo1c2juxhRU8/Y2qGBKUVfb9jNuoY9HD7CLR61x5c55eY1z3Y9diIy3vQEl0w/igunLuDfn7qDKp8wrU0F+3xHsWjsVH5w8uVdvvKfPOpNtP/tByzIXJPadm32uAylKhZDEC4IhlRVe65vYd+lQi5B9295hbfNjJd1zSRuliF/DIFV0wuCwBNUbFhDCmVrM6uzG9i//Rw0eu9H1jnvxaqu8VpJK4hYCARBKEjWQnDZlrWcsH83p+zbwVGvL+/dQVUY+5FbqLn7J/EaV9VgnfJWEhdf072DqjRBFoJ928JXsbrBZQj/pGL4GBg31Q3KXnA61rQI6wD40o52U47xAYR/RT5OzvvuJGFZfGLh2aH7b33dXTHd1drAzoh6GH1B6GRXrat9E+IhqdJS9lYnkm4ckmUxd8R4Fhza17XvtJWPM8YoTtXdQcV1ySrOPWyeJ2NS9j0/2N7CHeue5/EdrwOEBhSXS9ou0WXIuM5VOqg4FFOvmKmjC7kM7d4UvKMxf3Eqm3DCOu78YkcXC7EQCIJQkGwMwSn7csXC520tzQzcV3FWLInfePJsEqeUHL7UewRU/6XpYLggiBFU/PiO19nWfJALpy1gdFjGoihGji/OyuKJIej9SWFfx+8ydP7UErJYVZhJQ0YwsX4EuwIm/M0Za+Sag7vz9vVVqnyr0HWVqOGxcVXk7rYKuCqmbW8a17Mmz+WCqUfSmk4xqmYIQ6trPLUgst+leza/zJM7XTeVacNGR7odZUnZaaqLdHPypB2NEgS+1M3O7GNg4wuZPrpPEGw4+o3MytQCSJxxRW5HURaCIrIDZTPaHX0mzpLb4x8XE7EQCIJQkNagIlKDZC5mHRNQED1ZSvGw3scKchlqa4oQBNExBGsO7ea2tctYsuN1/r5xeWlj8q/uFTxA6hAUg2khqEtWMbaucLXZniDMBSQ7Xn+q1L6M32WouoSLo+PYOFtew8msDNsrHo1s3xT0Wy4S012oLlnFu+ecwJi6oRw2dBRDM7n8g+oQZMUAwF0bV9Ae47NqLyGuwpN2NMIiYg0fgzXXLe5mnXop1uRcVfbuFATb5h7nVqk/570w59jcDo+FIPx1O52p4jK5ZX67VlU11vlXFznawoiFQBCESFJ2Oi8/uMvAUQSRGZNGT8zfVqEqoT1O0CSitblkl6HHtudcGJbu3sgH1amR7QOrH/tSBhZEKhUXhZG5sU8VEwyb4GWHW06F257ksJbGLj//LH4Xojg4yxbjPPk3qKoh8ZHvwu4tke0ba8ovLGe6C/lrK2QxvzMO+dfK1w7u4rWDuwqeqy2dYpiRDjQOsS0EgHXJx7AuSmMlqzz1Grozy5BdVetWqfeTSOL6ELmxWY6dDk5H3dpY1Pks475j1Q+v+B1YLASCIETy/J5gH0drILlrRK0iVeeb5q2qcAvBkzvX8ZUX7uOJHWsrMbLK4s/GAdDenJ9uNEsq2kLQUGyMQVA1zfphxfVhTgz6yaSxN3Ew8/b3HUEQPsFzryv+qsV9lX/fEFBTo4TVcOfJv7kPOjtwli2G9pbQtg1V1aQr8Fmarj5h7jyWZXlEQamWm1IsBLFjCMiMMzNhNouYVTKGIG6qbcuy4lkJWooTBB66wdIngkAQhEiW7t4YuH1ACYKIm0ZjkFgIsRA4jsMtry9le8shbl37XGDg4xM71nLHuuc5GHHD7zbGTYVZR3tTpTpO+EpVAXP2oWILlwUJjGJ9oSXLUFGYFoK+JAjCVqSzP5lSi1n1NKODJnXlxhA0HggX6biVkSsRVJ0yLQQRVk/TvWtPzLS175x9vOd5KULCdPeJchny46+dUKmaOf54nMh+zfcz7PtgXnfHTytuMEGLO2UigkAQhEj6ky9vyYRMLNcOG8ltG5bn7wiJIfBX/ez0PV/XsIdb1z7Hv7av4Y51L5Q01HKwLIvk2/+DxMd/6q0GHJL6zilkIQio7BxJkEWhWPerhMQQFIOZnrMvuQyNCVnhzI7X/9vpaziN+3E2vRq8s8xrptN8MHL/0M5UaE2AYjBjCGoiAn7NoP+9MQSBhcWpE2czb1TO3fK7K/7JM7vWFzW+5/Zs7HpcqNaB5/yW5REFlYoj8Fsbgl1pM1SFBxY7qQ7sh27CvvOHuY1hxRhrh0D9MBJvvta7fagv9mrMZBgbka45Bv3UEVYQhJ6iv6zUlUXIa7xl1nzGtQdMekMmsW0+03CHnfasvD1lBOO9tC/aR7g7sZJVUDcMDrlFyZwQQVDIQmAWrEvEmWwGBSkHZT6KwpK0o8VgriT3JQvB2JCMVM2dHTiOEz3Z6mWctmbsm/4n3KWuXAuBmXmmdgjWyW9xC1jt3ADAk+MPq4hvfIdxvYrKAGR+bxpiWAWvX3gmdVXV1PkWTv6y/iWOHjOV6kQi0iIB7uT71QM7u56PrS3OtTBpJbAzbmdpx6nIZNcvLCKFRkTqUefFh3BWPeHZZg0fExgTkPz4T3EcJz8TW9B1s6q8VykWAkEQIgm76A0ol6GA13j/lJnsqRtCR5CpOiSGwO8n67cYRBUB6nHqjBusuSJpTgyKqFQ80UrgFEoV6Z9A1Q3Fmnt8cNswJO1oUZhuDX3JQjC2LnyC9+TOdX16IcJZ/mh0fE3ZguBg7vHYKSSOP5/Eu7/AvuPPZ8mEqfxz0oyKFGbzWAgiJuim2C8UC/Cpo89lQaZoZa2vz+bOdj6z9E4++9zf2R9QmM6kpbPDc++5YNr8yPZ+zJiDSlkI/N/JyO9oROpR56VH8tv7UqcCWOdd7f4PEPJ52zrays5+J4JAEIRIwlbqisso3ccJeI1O5iaYClo5C7l5ttveC7+/6I9fIPQmVr3hstF8KPfY9E2NGecwpr2Vz7zwKPbvPo+zZll4Q5/LUOI9/4NVtIVAgoqLwfR77ksWgiNGTAjd9/eNy2nqjqJ4laLQ76KtGWfvVpzOFPbKJTjrlhfXvxk/kM09b1kcOuZs/jxD0VRdUxkLQUyXIfN7U0gQmK49fgsBuPeTls4Ufw9yxTRoSefeg3F1w/LERSGS3RBY7L8XlmohIOi99qdfTiSxFpwWf3Cp9rKz34nLkCAIkYT58vahuUX5BNwwsrnFU0EWgjBB4HcZSvcPC4FjuigMHdllMXDaW3h+zyZG1QxhzsjxoV29b8NqajOv3X7iryTnnhjYzjEsDtb8U7FGhU8KQ0lIUHExeCwEfehHO75+GO+ZcyIv7NmMPuRNW9nc2cGK/dt6aWQxKDAZd55fjPP8YnfiZ6dxgMS7v4A1eXbRp7Lqcq5VnmDZisQQmGlH4wmCNjva+hHXCrXNXIQIoMUQRUNKKMKWDIghcByHl/dvJ+3YLBo7tWiBXJTLUFRxsoB7Sl4a0VlHYRVTjTrVXraFQASBIAxwHMeBvVth1ASsIvNAQ7hZdKC7DGWrj3YE3ShLdBnqU4GSpoXAdFEwVqqctmZ+vfpJsCy+dNwlTAkwawPMazQERSYuIRDTzaK6xDzqHgtBH3o/+yieGIJeHEcQZ04+gjMnH0GnneZAeysPb3uNJTvWFD6wt4n7vTPaOcsfLUkQmOklzVXvSmQZMhcsolyGrBCXoTkjxtOWTrE1s4AwdegoZg4f27V/d0Se/UJZg1qNSfSQiDTPYSSN/rMr+6sObOfnrz4GwEePPJ3jxk0vqs+iXIaiLARBKVSLrccCXYKzC7EQCIIQhfPsP3Ce+QcMHUXinZ/DGhW+0htE6CpINwsCx7Fh82qoqceaPNsVNjs3wMjxWKVcPKNPlrepOtJCUJog6EsuQ54Ygv07uh5atXU4yWpIp0g4NrV2mvZkFfdvWcWH5+WbsPOEYVT6PNMNpKZ4cQpIDEGReLIMFcjl3ltUJZKMrx/GqApU3+0RSlmdL/W7WpsTBF4LQYXTjsa1EBgT9aPHHMYF0+bjOA67WhsZXzfM03bGsDGsPriTIKoizgc+C0GyFAtBfgzBDa883rXt5jVLixYE3WkhyEsjGuO3mnjzx7D/8XO3+QUfhPUrCh4T2V9ZRwuC0PfZl5nsNR/EfvzPsQ5xWpu6Uk72VnCf89pz2H/7P+zbv4GzcyPOCw9i3/4N7N/9N06lc/gHTNSzQqDDKiKGIC/LUN+NIQgtCJaoAsNNYUin+xr85vXshKTG/5qirFBmkHIJ1ipA6hAUSV+2EPgZUarVqKcppRJxRIreyHz2xu+00qk0vTEEUXUIct+cdjs/M5FlWUwaMsKzKg/wpsMUo0OySRVy1mkxJtH1JbkMmTEE7vtre1LwFk/JWYb8giCOhSCOO9Phx2JdfA3WhR/CUifCsNGFj4mgr18fBEEoE+vIk3NP9mwu2N7Z/Cr2rz6JfeOncZoO9Fr6P+eBX3c9tpfcjvP4X9wnHa04K5ZU9mR+U7Bl8fCkGe7pglZzQiaz7QUEQKVjCPyZOIrBChMEySqPm0J9RuTUJ7xWkewkpto/OYrKsOKxEJQ4+TM/DwkqLohnEtSHYgiCGN5fBEGB+hyBNOwL3xd1XTAmigljylaJYltx045aIUHFNcnoVf4RNfV844S3Bu5rzlgAdrQc4pFtr+UVamwtM4agqkCWoWEVcJ+NCla2DAuBfe8vcLa8ltvpf68Tya7g8WKwLIvEvJNIzD8VK5HEOvZNZRUsE0EgCAOdSbNyj2OkkbT/+gP3BtXegv3svd6LaW9NKPwWgXLT+vnx3Vy/tvBkDmVcWuxEgrRvPckyi3oZ5FsIfC5D6coJghX7tvJfz97J/y67p7TicWFpH2vqPDenIekURx/Yw9sevIn0bV/F2bUJyN1k8ywExo3ccRwcc383WAgqVYV0oGK+PX0py1AQI0oViT2ME1CbxFp0VvRBh/a4bpDZPnZtwl6xxLXERmTusYwJnsdCUGba0aZUG/dveaXreWTaUdNlyLjWRImILMlEcIWSplQ7nXaaH7/8L/68/kV+p5/x7DezDJUWQxBtTSlNEPhiwiItBN7303767twT/++wbmieWC9FvFsjxmKNK704mQgCQRjomDfZGEVlTJxDe7oeuybYXppQ+E2sJdwgIjEv7GMms6fOu1qTF0cwIl8QOI7D3za85NnWke5kS9OBrgC5SroM3fDq43Q6Nvvam1m8JaRiahRmULHJyPEeQTCptZkPrF9FbUcb7NqEff+NQG7ludb/mjKrp45tY//le9g/uw77taWefUDJgsC9URq+1Hf/FKctOqf5YMbuo3UIgijGZeiUiSUE6FYKv/tPTT3W7GOij0m1wxYNuC6Z9h3fxHnkFux7fhFd2dgQBMkKZhm6Z9Mqz/PIGIKQoOLqCDcjk2SAi0xzqp3tLYc40OEu9vgzTbWkcoKgbJehgPdqaFXx159frH7c8zzSOusXeXu25BYv/PuChHAviHcRBIIw0KmqyV1c0invim0BHGNiWGUles9C4D9vCTeISGyvFeSiaQui2wdk29nYmO8ScNvaZXz9pQf48gv3krLT3RZDsK+tqfiDQiwE1sjxnlSHx+3fTa35/hzc5U72szEEab/LUOZGvmMdbNXQ2YFz/404a1/01CiwylkNNgXa+hXYD/6+9L4GOE4frUMQxPAY34mpQ0fx5ukLecesY7p/QGG0+SyW1bWxUj46a5a5k8J923OTwo0v42x8Jfwg02WoglmGXtzrdR+NW6nY4zIUw0IAwYLAxuGQT1iZK/DNnWVaCDyCwPG4RwHUF9lnQ0ebJ64Bol2GnF0bvRs6WqE1c532u5yNnZLfQf2I/G3djGQZEoQBjmVZborH7MW3o90TNGri+C5UtpEJpirRc4LA8bsE7dnib1HhE5qCIMFbZxyNGjmRZ3avZ+nujeyvqWOKsQodZM7d3hKeV/tgRyuvH9qdF2Tcke5kY9N+ANY17OHUibMZWWyhrlKproXaevC7P4wa78lsMtE/+XEcaG3s+m7kuQxlV/Z8bl7ZbBguVvBNMC5WAjDOu+4lV+haFs4jt+Ec2kPinPdijZ5Y+jkGCHYfrUMQRHUiiYUVWYX3lImzOfeweRU7p5PuxCo2XaPfQlBVleciAmCd8Q6sMZOx7/6pe66Vj+HoZfkTwq0RqVbruifLUE2yClK+5yF4XYZKEAQJCwLmznt9lr2Wzg5GZK5/ZsrSMbUh1syoc/oKkx3yWcezq/u243D72mXsbWviXXNOYGLIRDzIGhDlMmRNPhzngNfqwYGdrsDzff7WxJnu//M/gPPQ76G6FuuU4NiL7kQsBIIwGDDdM6IqgPpzyB/Y1VVwqiddhpzFv41uYFbyrATmSk8iScKyOHL0JMZlVtH/MmNu125LnRTYRSF/2qZUu2eak7QSfGfFQ/xg5cP8YOXD3LVxBbetjajyW2EsyyJx0TX5E/MR4zwuQ6MDAijt+37VVSk1KIbAcZzINIvWyW/Biih0VpCAQG/7R9fgPHknzsolsOkV7H/eXHr/AwhvlqG+LQgA/mPh2ZH760rMtR4Ua2IvuQP7p/+O/dRd8ftJtYNZdwNc60DAirM1aXa+NbG9JS+I2Hn5sdDzmWLFm2WoPEHgfx+jJvdhdQiqCwQVZ0mETDX3tHnrFGStArZjs7O1oWv75CHB9U+i8Bcm81sjsqv7z+xaz+M71/LqwZ3cvObZ0P6CBMErB3bwv8v+wasHduTts068KO+zd/ZnUrCa19SqGqxF7nc+sfB0Eu//GomPfC886UM3IoJAEAYDceMIWrwX6Kptr/PVlU8zpDPlTnh7ykKwpsDEOFXpoGKvhSBLVSblqB4xhpWLzsRacDrW6ZcFD6mAO1C2eE+WtGPnbVuxb2v8MXso7XOxZh9N4sqvuHEDAFPmYFVVh1qQutiqu6w2eYIAoDOVb+XJMm0eiVPfVtJ4uwjJ0e0se8A7RsFXh6DvC4JCrhxVQWmAI3BaG0nf8mXsm77gWbF12ltwXvynW0l46T3xO9y7jTwLZbLKTdfrZ8yk4gtORbgeeTPnlOd+WJsnCKLSjua+N+b3KeoYz/EhRcj8FoKD7a2k7DT72pq7rqcjqutKCgA2zxkkCLKr+6br1LqG8KKKYem3d7c1BcZwWWOnkPjQd7COPz+3sbUBx7Y9MQSJ933JM/m3xk7BqiveIlIJxGVIEAYDZhGoKEFg52e7GN6Z4g37dvLq8DE9IghiZY2ptIXAFARGdopq46by+swFHHv48aFdFBIEW5oPRO7P0p7uzLtZdydWIkHi8k/ibFyFNedYd2MhQQCQCTivCbpRdnaEfkbW0WeVOFKDAlVOhRz9zUJQqIJtsshrkPPYn7vEq/3QTSTf+Vl3hy8NqGPbWAXObetlOPf9Mn9HdW1ekLx1wQexho7ESRV5rRo/DWvGfJy1L5I44x3e0xir+C2dKW5c/SQXTpvP9GFjijsH+X79UW5aYUIyTpYh91zBx/sXQH606lGGVNXwlulHdW0rxTrgnrOAIMhct+JaWqICiHeEuItaVdU4ZhrQ1qa8xArWmEmxzt8TyFVVEAYDZvaOKJehkPR3NXa654KKo8ZntLFffRp79bOeVH4lY4dYCIwJwiPbdd5NxTOkQhaCpniCYF8JGXPK/VisURNIHHMOVqawjRUjJ7adeZ+CLQQdoalhrTLyZOc6kVtXXPpTUDEUtgCErTaH4ZjVW7cZvvr+ugAxUvcGigEgcfa7sUaOw1pwmjvJO/dKEgvcqt5WdU1xNTeSVSROezvJ938Na/Yizy6/WHph72ZP9d1iaPUHyEZcRxMhv7f4giD+Z9bS2cGf1r/Q9bzUVLR5MQQpn8uQY3v+FyLq+h75PpiuPwGCoC8hFgJBGAx4XIYiahGECAIHq9uCirP+5l2rc62FM+Y4rz4DK12/W6u6BuYcV+Ygol2Gsty9cQVXzT2ZIAoVHWuII3SA/e3NTAnIYtSjxAniy1iaaoNqK6TCLQSh6U6LQSwEsfEGFffiQGJSaJIZdxLaRdg1zR8v1ZnKm6A5LQ04z90PoyeRCKgzYM07CWvBaV1BoYkLPohz3tX5lob6EfFTPke4TCWsBAnL8nym2bSdxeKvXTJvVPhKdZhlKbbLUBkCvj5G9qZC50w7Dgfbg12GwlyB/EQJhyixYNUP65LkTlszlnkf6GOF+OSqKgiDAMu48DgRNyYn5OZZn+7stqBi519/xP7RR7Afvc3dEEMQmJNN+75flT8IT1BxsIUAYG3DHsKoVErRfe0lWAiKaLu1+QBP7FjrqQSaRwyXoRGP3Mq/bdJUB1oI2sNXXEuoyJlHD1gIHNsOj4PoR/R3l6EqK8GJ492q4cOra1Eji8wcFVb066AvA0zAZ+088w+cF/+J88gtODvW5+233ngF1gxviuJAt6Ni4ggKuAtWFxlDEYTtOOwxUhX/z7EXxU47alKoUnGWsgRBiSmmTUtSWzrFc3s2evan7eIsBFHCwZ89zkOdz0Jg3n9r+5YgEAuBIAwGzBiCgKwxXYQKgpS7Wl7hJUZn5wac5Y+6j5c/inPsm7yCYMYCd4K+4eXwTipR/dcJEwTeG15txGpV5E2hCBqLLB5XDC2dHXxvxcO0pVOsa9zL1SHWDjvETG8tOA3nlae6np+1eyvPj5mQ37C1KTzwO058QiFiWggcxykpkNZpb8G+7WvQ0kDi0k9gTVVF99FX6G9BxX6rXFUiyXvmnMiRoyYxZ8T4yPSYgQQIVqej1U3/aRIgYJ0V/8p188Rf8/seOirWEKyR43F2rIvXtlBQdSJJe5nXmns2rfQ8n1jAjS9IEAytqvEEOUdhVg0ulmLrBWSpNsa2dPfGvDStnZkq55syaZ8L0RkRxN2eTodfa/wuQx1iIRAEoTeJm2Uo5EZT35nOrNx5L3ixAoAjcFYs8T5f/SyOkX/aqhvWZY6P6CV4q53GadiL/dRdpP/6A5zdm8K7CIkhqPbd8KJSHqYqIUwoP794FC/u3dLlKvDMrvW0dnbw4t4tNPtEYnPA6+xIVgUWZJvSmm/RsB++1bUS+LESlbkJxl1xLHGF31n+Lzi4GzrasP/2fyX10VfwWAj6gSCoTuT/5oZU1XDapMOZOKRCxZq2aGj1ZlTzf1fyYpN8WaushWfEFljW6ZfBYUfEG1uB34f//YHir8P3b/EWQivkhhX0Oo8cNSn264+yEMwdGbCgYFCqy5CZEnWXkcI0S9pO8/SufKtPGFEWAgcnvCaBKQjafIKgnOKM3YAIAkEYDJjFrtojfE5DJrX16ZQrCPwXvTLcZBzHxtngXaly1i0HM6i2fhjWtCOL7zvdiX3rV7F/81k3peDmV7GfvjvigLCgYu+Nsi7i5pQy+njHrGN564yjOWdK8SvL6aAKPhXCX63z5688zq9WP8FPVv3LM6lo9B8INNXWBwbBBQkCDu3GWRmQW71uSGVWqX0TDOvMdwa3iwgCj2TvttzjMJeTfoI5VeyPLkNRVrmiSVbh7N/ZVSjMg99C0BC9cmyd/e7Yp7VGjCX5zs+R+MQvsU4LTlvcxcQZkbv91ySI7/YCwQsOhX6TQd+bqJgDP1GC4KzJc0P3QekWAjO+oTnAPbLTsbl93fOx+yv0HvuvrV2YKUTbmnEac98rq6eKUMZEBIEgDAZ8F6VQzJvixFldD+vTna4p33czsf/wJeygiV8cdm+GFt/KzZ4tYJrWhwyHybMhhh+pOaF11r4Ie305/c1sI3kHB7sM+VdUo4r3pIwbwsiaei6ZvpBTjPcwLt1pIfCvYr3esBuAjU37aTU++8aA1f3ORLJwVgwzPiDINa1S+bV9k0ZrzOTgdqW6X/mKAjmlCos+QH+qVAz5GW2CVsTjkr9ybmE/8Jvgxj4Lgf3ILeEdj5qIVUKGGKuqGmvWwug2kw+P3B+0ml8ooYGJP1Pa4SMKFwgMShs6uohYoChBMGvE2MhjoxZhoihk9ei07cC4Lztk4m9aCA4fMa6raGWWMDcuK5GEkeO6njuP/jG3UywEgiD0OH6zZRimhcAIhKtPd7ord/4L6IGdOEvuKDr40ulMYT90U/A+w7fXGjMZq6qaxNuug/HTwvvbvhb71/9F+k/fcccSEAAYSYjLkD8TR1SpevPmkhUOpdzM4qz2+W9adkwN0RQRP3KTfobtmUJpjal2fjnnaM/+TssqKAjsMy6PFm9xshfFwT9BCXPHKFUQ+AXA7s04joP90E2kf/8FnM2rS+u3F3D6WVCxn6AV8dj4V4bTKdi1Ibit8Vt3Gg/AxlXh/ZYTDFqoZsC4wyJ3B/nth65OB7DH5yp11RHBlddNgoRkMcXCompHjCqwSl5qUHHU4g24mYcm1ue7oIWJK/PaP6FuOF8/4S1MMERBR4TLqHWKWYjRuFjX9K20oyIIBGEQYFY+dKKy+Bg3FssQBEM6M1mGgiarnR3QGC8wC3D9+m/4RFexIADCVnjHT3XHMmMBibd+PLRP+/5fQ9MB2LYG5/G/uBVIA0jf/L+k7/5pXjYl01/YzBLiX2WKyiRk3kiy/qtFp0gknoXAX0wnrstAVB2FFfu38cvVTwBuYPPK0d6Vw3QMQeDUD4fpES5elbIQ+D4HK2ylrcSVfcc3aXLWvABbXsNZ9QQc2Ikdko++L2L3s6BiP3EDVwPx1xqIwljUcNa9FN22HJHisz7591mFsgyVaSEwswudOH4Gk2LEZQTFnhQlCCKsPAkrwfCIvkqOISgoCNJMCPgswib2poUgmUhgWZbHnS0qqYR15CnBC1riMiQIQo9jmjcjXIbWH9yZe2JknhiSTlFlWeExA43xb7z2w7fkrdxZx50Hk3zuNVU1YAacRa0UGSXnneWPhLfbtx3WLXddijyDCrYQLBjtFSpRq0CmWKjO+K+WMplJx8iL3en7HOIKgoYCE+RdrY04jhNoSThQN6Sgm4STqMKKWOG0CvhHxybAImWdf3V+u6h4mShavKLZWfcSjlnUqrUpNEVvX8PpZ0HFfspJWemYiw6FMAXBWkMQTJmT37aE4oFZ/KLMyhQww7JIvO36gscHVXIuJuWx+dsutDqfJciyNLSqGAtB/phrEkn+ff4bATdAOcs5U7wxBSVnGYrhMhREdmK/vfkgT+9a32UlNq+52eu6mXY1ykpjWVZe1Wm3A3EZEgShpzGLQfl96w3WHcgJgubqWjoyfqK1ts24hv15MQRZnGJW4gJM8daoiSRO9wXbTZjuzeldP7xy+ed3b/Y+DwkqTlgJPrPovK7nUatAHQEuQ3HdHcyJmh2SNcnEfzOLW1wnTnG0druT5kwMwc2z5gOQsiwemj6vsMtQMgljpoTut9QbYo2zIAEWKWvB6STe/QU4LDehcIICnrP7oiwx/gw0TQfdAlUmZuBxH8ZjIeiHLkPFVib2EHGt8+N0ptzaE/t3eDIKJS75aH7jOLVSIki8+VoYPgbr2HOxzr0K66KPkHjHp7GCxIePQAtBEeK0yYgPGhJzUu8XkkkrEZlxzY9fEPzX0efxg5MvZ9FY1wL8zsOP5x2zjuWTR72JK2Z7i0zWJ7vLZcgOXHzpSHfS2pni2yse4uY1z3LnhuVd7bNkr+tm4HKhVLDWzIUw3Ocu1scsBFKHQBAGA6aFwHGwlz9K4phzPE1sx6bKuOjZyQT7J85gUsZfeoq52mZZWCdejPPcfe7zYgRBEKPG56W09GcXshIJGDaqKPekUIwgLyA0qBi8cQBRK3GdHgtBVhDEm8zUJqq6gnr97kCB5/JZBOJaCOKsJLZ2pmjPtFs6bjLbhgyjsaoGp6a2YP5/O1mFNW5KoKSx3nBJpPWgZDLuZpZlweTZWJNm5Vbz/RP7DM6W19zg0nGHkbj0P/KLSfmPc2xIe99jZ8/mylk8uhGvhaAXB1Ii5bgMOcWIts4O7Nu/Abs25rZNnIHln8RBWRYCAGvuCSTnnpB7fmRwPZAgghYZinEZajGss8Oq4022/YJgWHVtUe5n/hiCmmTSU09iWHUd503NXe/PmjyXJTvWcNzYaQyNOUY/1QUEiwOkggSBnea53Rtpz4isx3a8znvmnOi55ma/k7XGOaKsx12Mnui9f4mFQBCEHsd34XECUnA2pdo9gsBKVLHPmMCNbjiQa5xIwojcjdJ5bWl+3u4AAldlZx3lrpYlq3IryMlqrIWn57cdNqrgOeLhu5mZUbkRmYW2txwKDcztCBIEMScz5o0lLMuFSakWgjjxCS2dHZ4Vx61DhnOoptYVHQUmHo6VgNGT897DxJVfzrcAlYMRp2Adf753n1kVNkQQ2H//sRtzsnEVzqrHPfuc/Tuii/d19V3eKnFP4c0y1P9u+WXFEIR8/kE4D//BKwYAa0Kw4LOOPKX0MZWJvzYKFFcU0bx+xXX78X9vhhYZ6Ou3EPiLz/l595wT+O5Jb+eaIwPuATEJshAkrYTHwhL0voVZW8wFn6zVyjxHnGJx1gjvQlRo7FMvUTELgVLqXODzwCKgGngB+I7WenERfcwFvgKcDowF1gK/Bn6utc674ymlTgG+AJwK1APrgTuA72ut85xllVLTMmO8EDgMaAaeB35QzDgFob+Rt5oTkGmoIdVG0pgY28kq2owsCDWmu4mVwJpyRG4l+OBu2LIGps+LHohvomWd9nZ35TgzPuuc98KkWViTZmH5V/GhMlWJIT+3fIjLEJBXGfVzz93F1054S17avVSAILAsiyorEZmdCPyCIPcZrG/Yyx/XLmPasNG8d86JVCWSOI7jWeWD6CqaJnEEQWtnB+0BVVs7bRsmz3GtTSGZqpxkFVZ1DYwc734nslQylzyQOPkt2M2HsCYfni8c/ZVBgzDfv21r4eizXHeRFf/C+dcfg4/x0+69xTj7tuOsW441YTrMWNBnAnjNSsX9Tw6U5jLktDS6SRHay0wXO3qi+7+mzpOxyqqkuC2SoPdjyfbXmTtyouc6EoZ57Yi7+u5f4S8moBjyx1xXVXicI8t0pwkSBDWJpGsZwL1eBllW2u3OvCRmgM9CkHEZ8lgIYogyf2HHTNKMvkJFrg9KqauBf+JOzJcCzwCnAQ8opa6J2cciYBnwLmATsBiYBvwE+ENA+/OBJ4BLgDXAg8Ao4KvA00qp4b7284HlwMcym+4HNPCmzDg/HfPlCkL/xEzNGFCqvqGjzWMhcBIJ2o2ArtoOYzKfSLjuH9NyAsA5uKvwGMyg1po6Eie92TNxsuqHkTj+fKywNJLtMU319cOwzrsa5hwXvN+/mmPeGHw3Ev+NJWWnuXfzy3ldpow+zWPixBGYvqim+8/9W1axpfkAT+9az92bVmI7Nt9e8RDfXO5dv4jrMhTPQpCiPUB4dTo2VnUN9hWf5tBpb2fDyZfktUlnX6t/BTGgwnE5WFMVyfd/jcT5V+etXlrGd9ufLSgIJzPRc1Y/U1gMGN93c7LpdLRi/+nbOE/+DfvOH8LmV2O8ip6hv9Uh8FOshcB+7M/Yv/x/2Pf+whNUnvjI90l8/GcwKroyrok1yhUEibddD6MnYS04jcR//ibYjaiHCHL7W3VgO3dtXB7r+OaUIQjixhD4LKqjauLXIID86065k/04VCfyRUfSSni+T0GT+LZ0Z2CsjRlvkHUFNa0Ncay01oz5ucfHnIM1bHTBY3qSsgWBUmoK8EvgEHCC1vpirfUFuIKgAfixUirScVQpZeFO+kcAV2qtT9daXwbMBVYC71VKXW60rwNux7X7X6a1PllrfSkwB7gXOAb4jO80vwXGAN8F5mitL9VanwycC7QD386IBkEYkCQu+VjuScDE0C8I7ESSNmNlt7rDayEAsCbPzm3zFxkLwhQVQ4qfJFpvyJ+E+kl85Hskr/0xiaPOIPnWjwdn7sizEJguQ/7CSPkTev8KPXh9SM1j4hRWCrMQvLx/e9fjh7au5vk9m9kYkNEprstQHOHQku4INH+nHRvbcfjm5pX8d0cDjzTszmtjZ16rdUROiFnqRKzaHgyei2MhMMlavrauiW6HLyi6w8hgtGerx6/c2W4U1+tlzK92f6xDUKyFwHnhQff/mueh+VBuR90QrNp6Eu//GomPfI/ER76Hdeql0Z1lLATWtHkkP/ANEhd8sNdFVdhK9KPbC39/ga6EARDfQuB/zWOLTB/sz25WTuaouARdt6sSCU9cV5DLUGtnKvAzNuMNsqLCfB2xFmUOm4t1ycewzn5PeHX1XqQSn8p1QC3wQ611V/oQrfUy4DtAHVDISnAecDSwRGt9q9HHHuDazNNPGO0vxp3c36O1/rvRvhXXQgCuWxAASikFnAxsAD6vtU4bxzwK/AJIAlfEeL2C0D/xVJHNrIoaqfYOpVqpMlyGnEQVbcZEtdq8qGcvtuak3rz5huGzEBSLdeQpWIvO8r4Wk7qh+at3MxeCfyUmymXIF3mZtBJ5Eyn/yprtOF6TsmkhKOAvC17Tc9SNZX9IGs1KWghafTEEJvrgLra3uJ/zoaAqn1lXqUVnw4wFMPMo1w2sJ6kvHEPgYfNqHDuNE1WwL4NZm8MxLQT+oPoiC/V1JzZGXFA/sRCcNjG30HDW5LkRLWOSSHZZraxkFdbwMe51Iiql5ZQ5MGZS+P5eIsh6VwzNnSVYCHzfmzFFFhg82AuVvs2UoFmSVsIziW8PuM61pjsCZbM3y5Dbh/m+xEkGYVkWCXUiiWPfVLDeRG9QCUGQnXjfFbAvu+2iUvvQWj8N7AZOz7oBaa3vBKYDQUl7s1ds85MeCzwLPGCKAYOstA7PlycI/Z2q6lywZ7oT+5HbsH/2cewn7wTglf078iwErYavZ5U5ycmushiuIE5PCIKqahJvupLkx3+Kdey5+Q0C+rSSVSTe/h/ejf4bQUgdAnAv4v6byxCfS4w/R7V5o4hlIfC4DDl5fYJrRQjLWhQ7qDhGSlPXZShYEJixBamAFTg78z5ZQ0aQvPyTJC/7fx4Xnh7BPF9zQ3R60QzOi//MzxxTVZNfMM90lTD90/2ZrwJiMHoLj4WgnwiCy2YdwyXTFvKReacxrQi3itDEBrX1wWIoLDh28uEk/u2zfTIIu90u/bvVke7scjmqshIFU3NmqfG534ytK85lKKogYncRZCFI5lkI8qeDbQEWgrRt88TOtbl+SrUQ9HHK+rZnXH3mAzYQVMt9TWbfgkzbMBZk/ofVCte4Y+1y6dFab9Fae6qOKKUm4VolAG4x2j6ttT5Fax1W6vTEzP/4SYsFoZ9hWRZU5ybMzopHwU7jPHcf+1ub0Id2kfQIgoTHQuDtLOMaMtSochlLEBhuR+VmWAiyElQH92mNn4Z1hmEALCKoGPL9Uf3Fcky/Xr94iBNDUGsck80ytNE/yXTC/an3tTfHCmqLk8GotTPYZQjAPDoVMBa7L0ygautz+b07O3CWP4r92lKcCNHkPP4X2PZ61/PEm68l8ZHvkjCKnVkXftjtO0tHhCAIcCnrLfpjHYJh1XW8debRnDC+yLSunSG/gTCLYsg1yBo3NT8VbR+hHAtBqyFU66tqYluMFvoKNI4t0kIwd+TErsdzRoyPaFk5wrIM+cWNn9Z0Ku9XsnK/N31tVmwMNEFQrs1iNK670B6tdd4VUGvdqZTaC0zAXbkPczLOftt2hOzPbp8YtFMp9UngrcApuHEF39Ba3xDnBWTcid6Hm5b27wWaZwOor47TN24sgyD0HWrqvBOZDE37d3Dejk3MbTzYtc1OJulwQm4Y2YutGSzacginrQXn9RewphyONTbf4OaYmTrKDSwL8kuPEhmmuPHfVCPqEACMqK6j0ciy5F917gioUpwlTi2CWiNWw3YcHMfheyv/6WmTduzIFd5Ht2sunLYgdH+270K0pzs94qI+Wd01kTBfdyrgddkxVxy7E8uy3LoWmeJz2UBhK5GAuSdGHZpjyuGuZaN+OIl3fs4VsjMXejMntbfiNB/CefFhnBX/8h7fl1yG+nml4qIIs8yECAJr5lHBNrMSq+P2BFOHjmJXa4x4rQDajO9lfREuK0eMnMDhI8axrmEvo2uGML6uOKvfZbOOYVPTfsDhQ/NOLerYUgm0EFhWwUxMrZ2pPPef5fu8a8U5C4FRUDLGtbWvU64gyMrEqPrw2dnHMMIFQaF+zD6CuAI3RgDcAOFpSqlxWuu9EeNCKTUG+BtumtTfmTEQEcwEzozRThD6HiHp4sY8eitv3+O96NlWMtwVJTsBHmJYCFoacf51G87qZ3HqhpH4yHex/Ocz3Sxqu8FCECUyPIIgwmUoYKI7pm4I21oO5g73rQYFpRzN4o8hsCBvEvL/23vvOEmO+u7/3TOzOVzOWXe6Op3udCfplAOKSIgggUhGAoskhA0Yw0O2eQwY8+DHBGMTLPkB/UjGYLIAYQyckFBEoCyV4p3S6YIu322e/v3RM7vdPd0zPTuzuxM+79drXz1TXVVdM1vTXd/6ptaQyVBUJJGs6xZNQPTrZ8YnEJw0dzm37dgy+n7IzY76Qzg4dGRafEnTxj532GRoBIdsrWS+mjanIBt19rqvkH5PQoHAl8jPH/HK9c+5/bvI/tt7otvXlMlQ/WkIxk2clixOIOjsIXXxO8n++F+CJ8qMsz+ZvPKIY3lk3w76RoYSJRr049cQtJch9DiOw1+sPZO7n38GM31e2Y7es9u7+cSml+DgTJofS9pJ4eAEwu5mnFQg0WQUfSNDBRmMe0LPsbwJVKNpCCrVieVnYxLRqNi1kvYT18cr8fIQHAv8FngD8BtjTKzAY4yZgxcq9Wi8nAlR/ghRbAFuSPiXwIZCiEmkNVog6NhZaC03kkrFx7c/mEtS5t+RHxrAffBW73X/QbJf/9+44Qe032QoxrwnKU7EQ96ZXcQNyC8QFIQdLW4ydPSMYL/hHaSiAkHo4dkRsdgIJyaLyqCZxS2aDTNJLgK/QNCebuHcRYbLV53ISp8a37+L2JZOB0ye/L4FYQ3BcMqpmV0yZ1q8WUKBnfm0UBjKTCtO3GIpYbQkN0JD4O7dSXbzd3AfuytRH9XCbzLU8BqCOM1Msf/bsgghepzZcSeDmW1d/MOJF/PZky8N/G6T0O8XCMrMDdLd0s5p81cyuz1uX7Y4KSc1qU7tjuMUmA2lUynaS2oIBgsW9/v8zy3A5MPR+p2KE/px1TKVagjyXljF7pL5c8VCOJTqp2gf1tq8gdddxpiX4SUbOwZPc/Af4frGmFXAz/DCmv4RuMBaW0zL4b/WtcC1SeoaYzYjbYKoJcpYhLupdMmbnOOkPK1DVGbXfTtx7/pNMJPsnufGXlcayzssEHR045xQJH5BMQ1BCR+CM+av5DuP/WH0/S+eup87dz3JRUuO5pR5RwTC14UFgvD7jnRLQdjS+T5H2BHXjV3c9xfZeR7OZnFdN/ah67puYHH4+VNeOVr3jPkreWz/TsCLspGnNZUJ+C34fQvCAsGIk6oZgSAy1nz+c/jtzNMtpN70SbKfe+tYWRH7fyed8ZKsldIAhBam7qF9ZH/6Rdj5FO4ff0XqbZ/FqXJuhjjcpjIZitYQOL2zYps4mRZSf/YRsv/xybHCGjYZgrF7ylvMqXzojrGs88V+/1k3y7/ef8Po+44qJwusRVpS6cA9K+2kSmpGPJOh4HPv9p1bRl8v7JzGoq7po/3lSRJlqNapVEOwH28xPztqNz5XNhvot9buLdJPPth2XIyvUj4Go1hrh4Dv5t4eGzGmk/ESp60GNgNnW2sLA3sL0YiU4cjraQiybJ4bkU1x4apEfbo3/yj4fvvW0dfO3KWJxxLJvGVjQsHsxaRe8yEcvwlTCMfnuJvXXLiui/vcFtxdPg1JhDo8k0rzyhXB28mOvgNc+7CnERny7dyHd6XCTsXhCEVtqQzzfOPOutlYU61iAsFgdiTg5xAm7FwaSAjne90X0BBkAg89v29B2Kl4xHESRfSZDJzpETun+f+rf8GfafGEWv98jsqQ7aczxn56+bqx17lruIP9jPzg855p0c6xGBjuUw8Vv0YVCSQmm7SrThExvw9nbQm79bAAWcMmQ35mtncFBPZiGdHv2Lk1oMksx2SoXgkHeEgnMBnqHxkq+j2+eOnY79xvOpUkYEOtU5FAYK11gfvxYvhHBQs2uWsUpvUMkrfdL0gMlotOtAbPrOiBXNmlxpj/zxhzbkx/+e3KwH/eGHMB8Bs8IeU7wIXW2vF55whRhxTY9McwmEox1N7FcDbLTxat5IeLVzGU39GfMZ/UaS8fq1xM65DTHLgjw2R/9XV4Pq/McypO2+60dZB6w8dJvfr9pF7/dzilYob7HwT5he0T95D99ifAb8YREymnWDKdIbeYD0HYZCj4QFrYNa1gpykccjTPQMSCx2/fuiscOtOHf2GYDu0ipn1LRb/QEQ51GghHGrET6Rc67N7tfPaeX/PbZ23smCaMsBkQwMgwI19+N9mr3ztWlvtfpF78tlF/mEDysShidvZTJ71k7E3fQdyRYc88aEvh48+ZROdrt9lNhhYbnDlLircL3xfrRCCA4IZDMZ8CG8okX67JUD0SDvDgCQQJnIqLaMb9GzrpQB6C+hcIqpEZ4XrgROAScgt2H5fkjj9P0Mf7c/XD0YFOBeYAN1hr81lmDJ6fQAfw64j+8nkN/pgvMMachBdFqAP4PPCenEAjRPOQMLLPLxcsZ3WmhWF3hP5Mhl8tWMamF13J8p4I1XsJrYPruriP3Il775i6mulzK48yBDg9M6AnYZxy/yIst6Of/dEXIjqNEQhiHOlc1y2qIQjnIQhrCOZ19IaiVWRjd6j6IkwiFnfN4MG9nilWVAblsX7jF4apmGQ9Lal0wCk6LhwpQEs2G7jGZ+/1bs1233Y2zV5GT6VhZsuhZ6b3/w4vkMKJynICgdMzk9Tr/w727YQFK4v3HaWFam0P/g52byP77+/HOXJTdB+TmJQo21ROxSGBYPZiUi96S+l24f9HDSaNiqMllR4V4osJBK2hz9QMJkOF2trSGoLB7HDRxb1/Q0cmQ4V8DegHPmCMOT5faIzZhLfI78O3yDfGrDTGrDHG+LdZbsDTNJxvjHmrr+4cX9vP+Op/I9fvq4wxr/PVTxtjPgacC2wFvpcr78DzJegA/s1a+9cSBkQz4hx5XMk6Wzt7+OX8ZV72XX+69rjIEiUWetlr/wb31p8GxzGvQnOh8RDQEBSxAY/5nHEagmE3G4j+EzYRCr8PP4jb0y0FD5a4B/uTB4Px7j+w4YWB/uISikEpgWDsvf+zpJ1QIp9Q//7HZnt2ZPQa4XrFTJkmAieVgt4Spj8Q2Al2uqbhLFxV0vHRiXI4be8qtDs/tA/3rqj9qsmlaZ2Klx5F6vKPFmYuj6Dgf15Hizv/hkMxgSAc7SxJOOR6J6ytTTupQIjnKIaLbMgAdKbHfv8paQiCWGu3GGPeC3wRuMUY85vcqXNy/b/BWusL3syvgWXAG8k551prs8aYN+XOXW2MeTOeX8FZeLkOrrHWjq4orLVPGWOuAr4KfCt3/aeADXhhQXcCL7fW5p9CbwRW5F7PMsZ8M+bj/M5ae/W4vggh6oFlR3PvtNms31cYkff/HrWJlQf2cvOchWRTKVzcYLr2OJOZUmZIfkfiPKFEN5OC3560WLi+WJOh6MXUcHYkkImzYFcq9CAORxlqS2cCO/SeD0H0+PYMjMU+eOua0ziid3YgQlExHwO/jWsq9Bn9D7ahIgJBWOA40NLKtKExrUReINge2omfkoXo9DkQMpMoYDy7pFHzo72rvL4SJJGrFvWYqXjc+L/XTOukmmZNFf5Fb9x9AwrvDX01FBp3oigUCJyS+RfCG2FhOgImQ/77dv0IkXFURS9mrf2SMeZJPI3A6Xg2/DfhJQhLtEVirb09Z9bzceBsYB3wCPAh4N8j6n/dGPMI8MHcNdcDzwD/CnzKWvusr/qFvtevLDKMYUACgWhYnjm8l4d6Z0QKBE90T+OJ7jHFXaGGIPrh6rS2J4o7HGhTyqZ3IghEGRrCHYgJLFamhuDw8BD/9cSfRt8XRhkKmwwFF45t6XRgoZZ13ciwo2Hyquu2BBqCB/c8x5cf/N3o+xTxGoKhgLYjFfjcYZOhA5mgQJC3V992OBhxeSrU6c60uaXn5XgcK6PmQTpTlt25O1yYDXWiaFqToYrMfupncdcS8CGIv2+EzQn7ayh53kRR4FScSkc6U3s5C8acsgeLmEbGmwxJQzCKtfY64LoE9ZYXOfcAxRfs4fq3ABcnqPeypH0K0agcHOrnE3/8BYsT2ty7rhtQncY61Y7HNnzlhvLbVEo4U/H+mOBiZToV3xtOa58ubjJUEGUo3RJyTosPO+onn8zM7yQXZ+P/r/dvDvwvwzvFcZ8t7aQCC44oDQG+XHP5xeeOkIZgSnbPioSaHGU8AsGytfDgLaF+WiFTxuO0iK9HtWkmp2J//genAht5pwGdig8NB0NDnzLviAkbU60QpSGIMhlKOw4px2F4xLtHxm2sHD1jQaDPRjMZanwjMiEEADc+9xgAT3f18O8r15Wo7dke+zUE4Z3uUcoUCFJv/OTUqPLDeQj8WZP9xCya4pyKw4vd8PslXWMC2MLOaSzoDEapaU0FTYZGioQd9ZN/MCUxGQrbxIYXhnE7xxknFRt2FGBPKNFd/rOHFx9T8rCMCw/qxyl/HjprTi6IROQsPaq8yDSTaDIU0BA0uEAQ+F7L1BA4x1/gveieASs3Vm9ME0yLk0wg8GsITpizjFVlJjWrRwrNN1N0RfxOU06KtO97jLqPvv7IE/mLtWcGyhrNqbh+XOmFEBVx166xOOh/nDmPD3ZP56P33Ur7yDBfOrJwx951g9lv03GLp4ShTEeZpIRMBaRCAkFUMjWI/TxxPgT9ocXdrv5g/sTjZi/hqqPOYCA7zMZZi3k6n+U5R1s6XRhlqJiPQ468hsAvEBRzKvYT1gjEfbZ0KuRDEBrXzxYewYnPbyfjZvnZwhUszS38D4fMEaZCQ+BMT2AyNBwzB4r1m0rhvPht8OK34T76J9xD+3DWne4JuU4qmOQu9rqTZ64RcCZvYJMh180Gv9cytT/Oma/EWXUszF7kJaCrE5I6FR/ymfa9bNkxjS8cEh12dGZEhntPExrvKwVetvqwtjcgEChTsRCiXtjRHzTj2N/axkc2nEZrdoQDuUXw2unzeSAXwjLrZgM3ufFGGQqQaS0rW3JVCWkI3MHoyDdOd7RJVbwPwWDReo7jcOzsMZ+J8EOlLd0S0hC4RaNc5Mnbx7YnjDLkp1iUIT8ZJxVwJi/QELS188OTL2L/9i3cNWMOb8ktwcMOi1OiIVi4ChYdCc88ElvFmb8i9lwSnFXHBpfYmZZ4QdPPJDp0+k2GGnUR6O7bRfb7n4G9vvgl5WoInJQ3X+qMpE7F/vtU1C55I1JgMpRK0ZFppTPTGvg+0o4T9JWKuI9Oi3jONVoeApkMCdEEDGVHCnZtAQbSmVFhAIL27SMk9CHIpXGPInXxO0N1e6duUeJfIGSHIS4UZvf06OaxAkFwAejPZBlFWLBqS2VCGoLSTsVLumYwq63Laz8ODUGxPAR+0qlUwFQq3P9VR53BvmmzuXPWPEZSqdHd6L6QkDQlGgLHIfXqDxSvc+KLq3vRpLvSk6ghcJtAQ+D+/odBYQDG5x9ShyTxIdgzcDggpIeTIzYqUZmKgdF7Z56U4wS+x/B9rj0UCW60v0Cm4vo3GZJAIEQT4I8D39vSzgc2vDCynv8G57djT+WcrqJwVm6MNxtacUzwfUcCu+6JIuxDEKMhiDNpihMIDvkWv0f2zmVpd/G45+EwpK3pdOKwowDv33A+H9j4wlHBqpQPQTZi56pY2FE/aScVsFH2Oy1vmLWYY2cvCQh4YwJBDWgIyO2IxyXA65qO09Fd3QtG7bx2dBfapE+iU3G2GTQEj9xZWNgEibcgFGUo4nf2gyfu4oO3/2j0fWemJXYDoNEI+xCMCgTtXQXlAZOhUHCGd68/J7J/ORULIeqO/b7F77TWjoKdE4BjZi4KOJf6zUNaijhfOq3tsHRtYfm5l3sJovxMparaLxAMD0WbdrS2e58nqnkqejHlVz0vS5AEKawhaE+3kHLGvnmX4rbAK3pmBRYBpcKODo4U9lUs7GhgrE5QQ+AfV95ZOioWd9/I1GsIRolKJAbQWqbvSxKiHJl7Z5E67w3Bssk0GQokpJu0y04uUYJdHfkBVEJLEQ3B4Mgwv3z6gUBZOMpZIxP2IcjfewsFgniToVcdcRwreqKTHDZa2FEJBEI0AX6BoKe1fdQhNc9Ll67nitWnBBaG/l2SsC1mGKc96KjlrDuD1IazCytOtUCQv4FnR6D/UGGdzt745jG7agd9gkV4RyqK8HeZ/1/4d+3iwoeG60Eo7GiEQBDVV+Kwo6lUgUZjrI3Xh39nLe+EHjZPm9KHZZx5RLnO8EmIcFh0ps31siCff8VY4RQ5FTdsHoK2CC3QJGfHniqKORU/un9nQf3OzATM+xolKlMxwOy2oACZclKxJkOLOqfH9t9oickkEAjRBOwfGgux2dvSXrBwPWvharpaWoMCgV9DEKFRCBBeCE2PCWk3hbarjuMEF4GH9hdWKmJCErdoftaXhKs1wa5kOONzW+67jfvuSxH0IShcaEYlIEoadjScqTh8zn8Ez8xse9/+AkfrKX1YzloUXT4RAkGUedLynE+Jf+4PT2Km4mbIQxARQthZtHoKBjL5ZIo4FT+6r1AgaBaHYogyGfLmf5TJUCZmtz8u3LS/v3CbekUCgRANTtZ1+enWe0ff97a2Fyxc84tK/8LQv7gMaxQKCN1g6YjeaZ/yhD++RaAbyqYL4BxzVmzTWKdqH0k0BFFRhrz+x777B/ZsK9lPHn+Uob5xawiSRRkKtMk9KAMLEjfLtfbWgrpfefBGbnru0ch+JppUjONw6sxXV/1aUeZmzqpjvaNPIHBDgtvTh/bwL/f9lu8/8aeyhMFSuK7L04f2jo2lAQUC183CYZ9wP3cpzoVv9hLINQHFTIYORGhJmstkKJyHwHs/uz2sIXCKbHzE/2YaLQ+BBAIhGpz79zzL3sGxHbSFndMiE7ZA/C51yYVuSEPgdPkEAv9O7KJVSYc9MQQ0BEGBwNlwDs7aU2ObJhMIEmgIQg+e/EPLn8/g2QhhJQ7/A75veDBgMx7uN0/SsKPhPASBc7k2/vM/3nI3jx/YFVn/G4/cXuBsPBk4C1finPGq0YRzzoazSb3k7TgLJiBTa0ggSL383Th5Ydnv5BrSoFy39T7u27ON/376Qb78wO+qNpynD+0NCARLfUnyGob+w54JIEBrB+nL/zeptad6YUSbgKBAENylDof/hebSEPSGfo95P7CZUVGGYuZLnMmk166xfAiaw+tGiCbmth1bRl8fM3MRJ81dQcpxuGT5Bn7zjOXCJWtHdw79GgL/QrKUD0GBDa8vmlDqkr8i+/N/g1mLcNafyZTidzD1mQylXv5unBXrizaNcyr2E+WsXdCPk+K8RWv4zbOW8xatqdiMoyWVJuOkGHazDLtZhrIjAQ1QlBlR2IQnLupIOFOxn3x5IE9BiYRqB4b6pyTkYeqEC3FXHw8tbThF/EQqJiwY++dUwGQo+D95rm9sLj6YywPi5ydb7uHG5x7loqVHc/ZCk3g4zw+M+cks75nFwiIhgusWv3ZgIv+3NUqUhiDruty24wnu2Lm1oH5nnJN9AzIvpKnO37PC96Dn+w8VaA1G2xS57wdMhpSYTAhR6+TNgdrSGV6z8vjRBeiLlhzNhYvXBswI/Pe+gTIEAqe9K5gV1qchcJYYUld+pjbMFfw7Rv6MwgmSq1VLQwBe5IqLlx2TyOcgCZ2ZVvbnzAMODw8G+o3SEITV28XCjsZph/JCRGzCugiKRU+aaJxpMX4t1bzGhrNx/3A9jAzjhJ3q/YuQkJAW3p3sGx6kI7eTu2+wj589dR8A33nsTk6btzLxvPHblEdlaG0I/MEBwqaLTYA/Alz+/33f7me59uFC0z2AkWz9m7YkZVrIp8cflrktnRl9xh0cHijpK1XqXCM4FUsgEKLBefURx7O8exbLemYW7IKEF+n+94M+2/OSO99hZ8rQzkxNCAMAcRE2qiUQJNAQjNWt3u03LBBM9y3+omzSw7kJipkMdcdkls7vjqWLqNTDVNM+vhZxuqeTetX7cHc8iXPUycGTfpOhoeJO188PHGJxTiB4LBQp5tH9O1k7Y0HsGLJulttzO8P+fouZPtQbruvi3vlL2L8benxmUO0NKvQUIRMRZejrj9wWW39Fz6wJH1OtEL6v7fIJjxtmLhr9nUChUJ6n2GaYTIaEEHVFWzrDGQuS2e6nfG5F/QEfghK3irBgUatq6bhxJdhZrKaGIIoXLDiSG7Y9Mq62fj+CcMjPqCRnBSZDMVGGMk6K7phoPOkSGoJ1MxZwX8g5envffu56/mmWds9g05xlke3qHWfhKpyFEb83v1/Nvp24bnbUzn04tJjY3X+YxTl7/3DoSLt3e1GB4E+7nuZr9hYAjpo+f7S8pQxNTs3zxD24v/teQbHTjBqCCJOhKAH/iJ7ZLO6azjFxUbcalGNmLuKe3c8AcNLc5aPll644lvv2PMvh4SEuXnZMwM/OT1uRe7rfnEgCgRCioXDGaTLE7MVjr2ctrPKoqofT2k6kYjeRQFBay1HyeyrCn63cxB92Psmh4YiEaSXozPgjDZUO+Rl+eMX5EKRTKXpKCQQRbXta2pjd3gMEBQK/GcPirunM74zOCt2QdE33bNwP7/eS4u3ZDjO9hX34/+G3/d9++EDsuSiufuim0dd+f4RwdKt6JnvXb6NPtDW3QPDY/l24rhspELx7/TmBEMXNwuVHnsj1T93PvI7eQBb56W2d/O2xF7Gr/yBHTpvLdx//Y2T7Yt9Zo5kMNdCWgRCiUvwPku0+R8dSUYactg5Sr/hrnA3nkHrJ2ydsfBUTpSFIt+AkiElfLB51niRhR+NwHIcN49y96/BpCA6FIthE7Vwl9SEoqiGICDua5+1rzywpQN3qc3ZvBhzHgXljWhF3+5i5Qvh/tM+3Wxk2szoYlWHbf50i2p6GIc40rwlNhvwCwZ7Bw9yw7ZHITOSV3JvqmWmtHbxm5SbOWliYl2Jmexerp8/DKRJ2tJggrTwEQoiGJc50JMnOt7N8HalzL8OpYQ0BUfbwRZKR+Yn7bvIs7JxW8Y53b4y9finCoUf9RO1chX0I4hbv6VwGz86IyECjYUcjFppdmbZYrUOeSrQp9YrjF/j2Pz/6MhyhxG/mNZANmoBFxZb3EyvcNdD37cTt2ja5QADwH4/9oeD33JlurR0/rhol6j7WmkoXjQKXcsaeCi6F99V6o/n0R0KIWOJufiUzFdcLURqChHbHxR6oZy04klcecVzFIUTjduNLEfQhCGsIogSCYFncZ8vvmnW3tBf4JoxmKo7YWcukUiU1BM0oEASc132mYeHdRf/7cJSo0hqCaMqJBlXzxNl1N6HJUNT/NSyMRwn0IkiUwJzExCrlpEZ/ryOuS4Lo1DVLA90hhBCVEmdu0DDq5qgFd0INAcR/D8t7ZlVlgduTINpRFP5sxeEFZNSuVVhIKKYhACL9CPLnWiJ21tJOqqRw1FBOrknxC6S+SENhp2L//ydsMnRgaKAg+ZyfePOvBvkNQ7zJUBPOqaj7TngOdI1zo6GZiBKskgSJaCSzoeb79QghYolbTFQSPaemiDLJKSMyyboZE2sOFefAWwr/w2wkm+W3z1q+Zm9hZ98BshFu1GEhIU4QHBMICr+3vJYhSkOQLpLQbHTMjbRATYo/7K1PIAibDI24WdyBPrK3/pSN254AnwAw4mYD8dTDxGl7GkoAa0Ln2DiSCATTW5vPlKpcIk2GEswz/32u3nM86FclhBgl1mSoQTQETu+sguWxU4aG4NUrj+eBvc8VLMiikn+Nh6iFdxL8u1SPHdjFr5+1AGw7vC8yRGVYQ+A4DimcAuFhzGSoUFDJq9OjFvaZVKqkD4EbHe+psfFrCAImQ8HvYiSbxf3T/+De/CNeA+zMtPDAtLH48dv7DrA8Jp58rFNxgwgE7mAf7r6dhSdaO3BWbpz08Uw1Uffm8BwIJ+gShfi1rHnaEjz3WtMZ+nLPg8HsMF3UaMjtBDTGHUIIURXiFhONIhAEwqPm6ehJ3HxGWyefOvFiPrHppczy2SsfWaUsuOP1IfDvUm05MOasuvXg7pgoQ4VlUcJgMQ1BPsFR1EIz45T2IRjO1rd6fTw4Pl8PN6chyLrZAuFoxM3i3vyj0fcXP/Vo4Px3H78z9hpxNszlJJCrVdyBPrL//kHY+kDBudRlf4vTqNmYixB1bw7/vjvkQ1CS3ghzzSQaAr/QUO+JF6UhEEKMEm8yVP+LCQC6p3smQr6MlYFMpwnozLTSmWnlL49+AT/eeg+reueMJpGqlKiFd8ZJFdiYhylmnhMdZaiwLOU4hDft8/2GBZX3rD931DQlSiBIp0r7ENS7ve24aCk0GYpy+g7/v7tDDt27+w/HXsKJ2edrBJMh94//Df0HC8qd1SfgzJg3BSOaeqI0dH0hDWbU7rcIEnXvTWIq2+b7bgezEgiEEA1CnP1xkp2SesBxHE9L8LQdK/MlqymHRV3T+Yu1Z1ZraIC329eWyjDge7CkKxYICttGlXkmPsGsxvnFfjgcql9AiFqQpHBK+hCU+kwNSchkaHBkmN8992hBtbCQ0DU8RFs6M7oDORSRfTpPnIagIfIQHN4fXd4Aws54iRL0DgwGQ9O2N8j9eyKJ0hAkiTLkfzZWy3R0qmjeX5EQooC4WPtdmfq1iwzjzAmZDfWMTyCYKNpD6v3T5h8x+vq4WUsi2xQzz4nagY6y3g9HrnEYc0YMawj8YU7DC/+Mk/J8EmQyVEjIqfiXTz/A9yIypI5ks+DTyrW6Wbp9bYfceIEg3oegAbR8cdGVGuGzjZOo/2tY2F43s4Zzw9QIkRqCJCZDvjqDdS4QSGwUQowSpyHoaCCBoMCPoMYEgrAj28XLNrBvsJ+BkWFeu2pTZJtiWZSjzIOiGAipu9NOatT2OPyw9AuI4R3K/FhKORU3p8mQX0MwyHVP3hdZbcTNeuFwD+0bLetuaWNP/wHO3PEMKcAdGY5M0FUqp0RdEzeVm1ggKCV4v9mcyuz25IETmpWWXAJGf76VJE7FbT6zomI+BFnXZTA7XNPmWxIIhBCjxD1cGskpzZk2N7iuaKutCBzp0EOoPdPClUedXrxNmSZDScKb+qMThf///p2zsDCSN00p7VQcv8vdsATyEMQnGBtxs56vi08g6Epn2PT8Dl795MMAZB/4Pen1LyhoG6fla4wwr3EaggYQdipgafdMnjy4u6A87aQ4ce7yyR9QndLT0hEQCMrVEIQ3VfIMjgzzD3+6nl0Dh3jrmtPYMCsiuEUN0Ny/IiFEgDhzg850A2kIFq6E3lzIxpXHFs1APBWMx9a7mEBQEGIUuOqoM0r2ecHitaOvZ7V1sSzna7Fp9tJAvfBCMz+WkiZDzaghiMlDEGbEdSH0P1106ACvf8IXXedXX49sG/e1N4JTcazJUJPvgL9lzamR5Q0TDGKSmBHaHOrKlN44CQgEMRqC3z77MNv69jOUHeFLD/yuskFOINIQCCFGiVvEJXGuqhecTAup13wQ99lHcZavn+rhFFDM/Ce2TUINwcuXb2DTnGUlTQimtXawyhdK1XEc/tcx5/Hkwd2s6J0dqBs2RcmPv5RTcTgZV1NQjoYg5EC7dM92nAS5G5rRh8A5/oWTPJDaYl5HLxtmLebu558OlDdKMIjJYmHnNB7auz3wvhRJBIJH9u+ofHCTQANsGQghqkWcQFBru+iV4vTMJGVOxKkxcyEovZCObFNEiPA7785q60pkTzy/o7egrDWdYdW0uZFOxFHvpSGIwG96NTLE+r0RCbaAUx67t0AgWLD7uUSXiPteG8KHIEIgcl74xrKSCzYq0yKcYhspGMRksLBzevB9V2mBwB+aNMqp+ME9z3Hv7mcrHttk0Ah3CCFElWisZX99Usr2vtw2/T671lKOvnnKCVNYoCEYFQhKhB1tQg2BE/pOXvLM4wAcvXcXJ+3aRjr3nZyx9cGCtrP27kz0wI77XhvChyDiszm90Rmbm43ZEUJREpMXMcbcUJJKf/LJOPz3yv7sUMH5Lz5wQ0HZvz/0e/YOxOcSmSqkTxJCjFJqV1dMPNX2IfDvWiUVNsoxEQsv/PMx8ktdqymjDIVYcvggb3/4btbv2wVA28gwN86NdjhsC8WWj2M4JiRpI2gI3OEIv4tGMIWqAnPbCzOud7VIQ1AOK3tnM6e9m539Bzl13hGJNOOtgbCjhb+9qJwhd+zcCsBb1pxWwWirT/3fIYQQVSMuQomYPKrtQ+C3a02qIWirIDRefy5LainTpzt3Pckzh/aO+zp1iy+vBDAqDAC89smH6awwlnmcb8Z4TNFqjihHbNnJAzAnQkMQzh8iipNJpfnwsRfynvXncvmqExO1CfoQFGoI4sgLBbVEA9whhBDVImpHJEmISlE9xuVDUFQgGHtIJdUAVeJEnhdAklzrH+/+b/qGkz9EG4HURVcWPd9VxvcRTibnum6sD0FLI+ykRzlipxvgc1WBKN+gbpkMlU1nphUzfV7ijZmkeQjqAQkEQohRohZx7zz67CkYSfMyLpOhVBEfgoDJUPV9CCAY2Sa/IE1yrf6RYf70/FNlXavecabPKXq+u0g40gJCJjR+MywHh1cfcRzt6QznLjKNsVscaTIkDQFAe7qlQOjraoT/eY3jd9w+OBwfOawe0C9JCDFK2GTodStPYFmNZfJtdMZj613MYXQg4FScTEOwvKc8R832dIa+kLo86bWa0UjtufZO5vdHOxWWoyGg/xD4Fn1+h+LWVJpzF63h7IWmcXyDIjUEWsbk6Ui3BGzWFWVo4ultHYtUty/k5xPW4IUZcbM1ZcpXtV+SMeY84MPABqAFuBP4tLX2+jL6WA18DDgdmAU8ClwDfNFaW6AHNcacAnwEOBXoAB4HvgP8k7W2L6J+B/Bu4HJgBbAX+BnwUWvttqTjFKJRCZsMySlt8jl6xkJu3bEFKIx6EUcxB96gD0F8vXevO4dvP3o7q6bNZd2MhckGm6M93VIgEMjULJ7/WLaGv7Z/jDz39kfvKSjb09LGjKjFcP8h8AnsfnOhvGDZMMIARGsIZDI0Smemlf1DY4vShtAK1TjTfALB/sE+XNcdfY72lzAh+u2zD7Nh5uJI/4+poCqiiTHmCuBXeAvz24BbgNOAXxhjihtMjvWxAbgDeC2wFbgeWAJ8AShIyWiMeSFwI/Bi4GHgl8B04OPAzcaYnlD9FuDHwD8APcDPgd3AW4A/GmOC6TeFaELCi4cZbZ1TNJLm5YQ5yzhz/ipW9c5JlFEYkpsCFVscHjVjPp844WX8+eqTy847EWViNC8il0EUjZbjohTfffxOHumdwb+u3pi4zVCc1qj/UODtsG93uJZ2HsdD1t7ByI++gPukLwRrVKSlRvCNqBIdmWAwAAkEE097OjNqqjWYHQkIAYdKmBB97/E/8qm7rh8NxDDVVHzHMMYsBL4C7AM2WWsvstZegCcQ7Af+2RizqEQfDt6ivxd4vbX2dGvtK4DVwD3AZcaYS33124H/wNM2v8Jae7K19hJgFXAdsBF4f+gy7wTOx9MIHGmtfSWwHvgUMB/44ri/BCEahHCWUwkEk4/jOFx25Im8b8P5LOqanqhNUge4iVoktmUKoxI5jsMlyzeUbNtska1+/YwFYF8Z2rc/zJoXWX77kw/wxIFduE/cS/buzQz7Fsz17ETsDvTh/uwr8PjdZH/4eQCyN3y3QAACZDLkoyNkIuTfvRYTg+M4BVoC8MyFbtj2SMn2h4YHuXPnkxM2vnKoxtPhHUAb8Dlr7X35QmvtHcCngXaglJbgfOAYYLO19pu+PnYCb8+9fZev/kXATOCn1tof+ur34WkIAC7MlxtjUsB78NIcvsNaO5Cr7wJ/A1jgJcaYFQk/sxANSTZk86gHSn1QDQ1BJaydPn/09TyfmdMFi4/islUn8NY1p3H+ojWRbbMR2WebgcEyFuy/nbeUkZkL6Gvr5MnOse/3oe2P8/3bf0r2h5/H/fU3yNz1m9FzrXUsELB/LBQrI8O4e7bj3vnL6LpyKh6lIxQuuDcie7GoPtNax77nfTmB4LYdW/jvpwsTDEYRNrecKqohEOQX3j+KOJcve9F4+7DW3gzsAE7PmwFZa38ALMXb9Q+Tv1v6jbfWAYuAu621W0L9Z4GfJBynEA3N/qGg6029mx00C0kTjk3U//OipetYPW0uc9u7A8l2Uk6KMxccyaY5y3jlEcfxyRNeVtC2GTMWAwyUsWA/lGlh5LK/5foLr+Dhnhmj5Z3DQ5yz9aHR9z13/GL0dV1HmDm4N/DWfe6J+LrSEIwSdmJt1XczKfS2+DQEOR+OrQd3F9SbF+MTFpXQbCqoaLbkTH3WAlkgShR6OHfuaGOMk9uRj+Lo3PG+mPMWmJu71m0A1tqCWHXGmPl4WgmAb5TRf/6Ouj7mvBBNQUdaTsT1yFRrCFpSad57zHkBh7ooonathyMyeTYyKRyyuAyU6Qzbmmkhk85wODP22O4cGSITE8mknu3H3QOhxdSuZ+Ir17MmpMoMxWSpFhNLq++3nI/ydMDn3P3G1adw3OwltKYzXP3gTdy5K2giNJitjfwFlYqPM/DMhXZaawvc/621w8aYXXiL+R48n4IoFuSOcZF+8uWRhpTGmPcALwNOwfMr+KS19kvV6j90rSuAK0rVy7ExYT0haoKNsxeztHsGzx7ax5+vPnmqhyMS4jjO6EKzGBMdcaaUg3B7RAbkoSYSCLJudvR/NFTGQjbtpEg7KWa2dfKUz1+ja3gYpwEFAkICgfv8mEDgnPAi3CfuhV1Pw7zlOOMI09uoNNNvqZbwb8hc9+R9/OKpB9jeN7bc7WltG9XWRIWVHqyRhGaVCgRduWN0QGWPvA1CN/ECQal+/H1E8Sogv3oZAJYYY2Zba/OGiJX272c58IIE9YSoO9JOig9vvJCBkWHaIxxFRe2STqXIllgQTLUJWJQJQ1xm3UbEbx6VTmcg3QIl7Id3tnWMJqs7cc5ysjMXwVbPMblzeCjWJburnrPUhjUEzz879rp3FqlL34P75IM4y9dN7rhqHPl8TQ3+++qu/oMF53t8vhxRiScHGkRDkH/6JPEKK/YkStpPXB+vBJ4H1uBFDXoDcKwx5jhr7XAV+vezBbghQT3wNATTEtYVoiZwHEfCQB2SdhxKuabVYkz6ZtrVHPIJBN7CIP6R9Jt5S5jfd4gfLlk1+n9rz7TwghUbyP7Jcx7uLLKzWM85RNyQDwH7do6+dLqm43RNwzlKGswwFy/bwJ07n2TYzXLlmtOnejhNQykfLr9AELUp0ygagnwMsGJiaf5codiUvJ+ifVhr8/rEu4wxLwP+gBe16FV44Ukr6j90rWuBa0vVAzDGbEbaBCHEJJB20gRjKUTVqT3zimYSCIZ9Nt6ZVBpiFgIfX3cSz/mSFXX5/2/tXaMvlx7aT1eoj0x2hOFUmu561hAcjjMmALqnT9ow6o1Z7V186sSLOTw8yPxO7UVOFqXuq/4kjVEmQ40SZWg/3mJ7tjGmQLjIlc0G+q21e4v0k9cHzo85X8oHYBRr7RDw3dzbY6vdvxBC1CJJIg2F80zUAs0UZcj/WaMWBgA72joCwgCE/re+3CBhYQBg2SFvMV3XEWaKCQSdybJ3Nyu9rR0SBiaZYnlgOjOtnvCfr+sU+g4dHm4AgSAXNeh+II2XRCyMyV3j3hJd5aP/rC3owItktAbP7OeBXNmlxpj/zxhzbkx/+fRwebuH2P5zHJU7lhqnEELUJEmSkyUNTzqZNFOUIf9nbYnYVXyqZwbfXVr4KE3HaAiieOfDdwHBXcl6ws1moe9AfAUlSxQ1RjENQfh3GLURcHi4ICbPlFAN/fH1ueMlEefyZT+voI9TgTnATdba/F3C4PkJvC2mv3xegz8CWGsfBLYCxxljlvgr5pKWvQzPmDMm84kQQtQ2ScyBUjVgMhQWSYaayanY9WsIQjuFiw3fO/ECHpg+u6BdOhXWEBQJ7ZrNguuyelrJoHm1Sf9BiImcBA60KtmWqC2KbbR0hrJHR92nBxrEZAjga0A/8AFjzPH5QmPMJuD9eBF8vuQrX2mMWWOM8eu0bsDTNJxvjHmrr+4cX9vP+Op/I9fvq4wxr/PVTxtjPgaciycAfM/X5st4moz/Z4zxb7F8Ak+78UNr7WPlfnghhKgFkggEtaAhCC+Em0lD4PeXCO8UOjPmc9r8lZHt/IKck0pBW/FoMq9ZdkxNOpAn4lARc6HWdpwaEGqF8FPs3tsVEgiiNAQDNeJUXPEvK5f5971AL3CLMeZ6Y8z1wM14uQeutNbu8DX5NV4Ss5f7+sgCb8Jz6r3aGHOrMeYHeAnJjgGusdb+1Ff/KeAqPDOibxlj7jTG/Ah4FPgosBN4ubV2LDMEfA64CTgfeMQY81/GmHuBD+MJD++o9LsQQoipoiWByVAtLBLDYfeayqk4EGUojXPOZbk3rTinXsxJc5ZHtitYcJQwG2qrEZvkcVHMf6CEICTEVFBMIOgICwSRGoIGEQgAcknAXgrcCpwOnEBu8W2t/WbCPm4HTgK+DxwJvBBvoX4V8PaI+l8HzgB+gpcb4KLcqX8FNlpr/xSqPwhcgKcROAy8BC/vwNXAKdZaORQLIeqWsGo6ilowGVo/c1HgfTNpCIJRhlI4G84m9bq/IfWmT+F0TSOdSvG2o84oaFeg2QkJBP3pFvZ39o6+b6uRBUa5uAd2k/3+Z+IryH9A1CClnIoDdSPuwcNutibug1ULQ2CtvQ64LkG95UXOPYCXUyDpNW8BLi6j/mE8DcJHk7YRQoh6IPzgaUmlC3bfa0FD8OojjuP2nVtG3w81bZShtJfZef6KQJ2OiGzOBf+39uDC+GBrK/hyh7TViJNiubi3/yJY0NENfb5o4NIQiBqkHB+CuOhiAyMjhX5Fk8zUbxcJIYSomHBm2hcvrc0srj2t7bzvmPNG3/t3zRudUlGGANozhft04V1FJ6QhONDSxoAvEVnbYJ0KBDu2Bt47J78sWEEaAlGDFDMZSqIhABjITr2ZnwQCIYRoAMKZac9ZaFjcNX1qBlMC/05YM/kQDBWLMpQjSkMwpz0Uez8kEDzV2cOAr93K33zLC99Zb+wdczd0LngTTkh74rRKQyBqj2ICQdhnIM68qJgfwWSZE0kgEEKIBqA9lIiqNZXmI8e+aFQoWDO9dsJQtvgWw4MjzSMQDBeJMpSnPUIgeOURxwYLFpvA2z/OmEN/WLPw1EPjG+QU4Q4cHss/kM7grD0FZgf9TdyDe6ZgZEIUp5hAELYminIqhmiBwHVdvnj/Dfz1Lf/FLdsfr2iMSZBAIIQQDUB4x9lxHFKOw1+tO5sr15zO2486c4pGVki3L1nPoeGBIjVrmzt3Psmvn3kocZSQcJShKNozQYHgQxsvYFpoZ9xZfQKsPRWAB3tn8khXLwViVY3ENk/M8764HtPn4jgpnJa2gN+AM60wR4MQU00xH4JwdvhyBAK7bzv37H6GwewI1z58a2WDTEAd5zYXQgiRpyVmgdnb2sHxc5ZO8miK0+3zdzg4NEDWzdZEBKRyeHTfDq5+6CYA+keGePHS9SXbhKMMRdGWCj6Wo0yIHMchfeGb+XBrmt2ZFlzHoftwkey+dYB7342jr53ZY/lDU6/8X2S/8ylwUjgbz52KoQlRlGJRho6esSBR3SiBYPfA4coGViYSCIQQogGY6ggV5ZBOpejMtHJ4eBAXODg0SG+dZaD94Za7R1//ZOu9yQSCQJSh6IWBE9ptHC6Sybmvows3l3Nga/c0Vuzd6WtY+xqC7O++h/vwHTinvQL34TtGy50NZ429nrec1FWfg+wITkdPRC9CTC1hk6Ez569ixM2yeto85oTmbJxmMCpbcTY2Y/fEUF9bMkIIISJZUqMOxHH0tIwJAAeH+ovUrE3G87D2L+7jNDoAR/bOBaC3pZ15RRbBLT5twm/mLQmcc2s89Ki7+zncP1wP+5/H/cU1MJibA13TYdGRgbpOW6eEAVGzhAWCxV0zeMPqkzl53orCunEagmy0D8FkIg2BEEI0ACt6Z3P2wtXcv/tZXr3y+KkeTkl6WtrY3ue9PjBUf34ELuMQCBI4FQO8ac0p3L5jK+tmLiiq+fFnp96VSnHz7AWcuitni1/rGoI9z0WXL1xZoCURopYJCwTFfttxPgT9UU7F47jHVIIEAiGEaBBeu3ITrJzqUSTDryHYX4cagvHs3vkf+sUW+jPburhwydqS/bWE/A0G/H3WuoZgMPp/7ixaPckjEaIywrv+LUV+2/GJyaI0BJWNq1wkEAghhJh0elr8jsX1JxCMJ8q/3bt99HUxU6CktIQWF8P+97WuIeg/FFnsrD9jkgciRGWEowwVE/ZjE5ONDHN4eJDfbXuEJw/uYX5HLw/tC2rRXNedUO2ZBAIhhBCTjj+D5+FaX7xGUK6GYN9gH08d8uLop50UR01fUKJFacIagsE60hBwaF9BkWNO9EKNClFHhBf5YUHdT3zY0SF+uvVefvOsjW074mZjnZKrgQQCIYQQk47/ITrZ0TSqQbn2vfsG+0Zfz+/opSNTGE60XFpDO5FD9aQhOLS3sEyZiEUdUigQFNEQFDEZumXHE0WvM5TNTmg0OUUZEkIIMen4Vd+THU2jGpQrxIz4IgwVi1teDgdCplZD/oVJjWsI3AgNgT8JmRD1QoFTcZFd/GImQ6XwByWYCCQQCCGEmHT8drcj47LIn1rKFWFGsmMtimU2LYenQ7vsQZOhGtcQRPkQ1FkuCiEA0qng77mYhmBGWydHTZ8PwMLOaaPl/RFhR8MMucUFgl39B3k6Z5Y4HiQQCCGEmHRSvkVxXZoMVaIhqFJW5vMXrQm8D5oM1baGIFJgkcmQqEPK8SEA+Kt1Z/N/TryEy1adMFqWTENQfOPkN89aDg2N/3cvgUAIIcSkkwr5EPxp11Nc/9QD9NX6QjZHtkwdgV/oqZZAcG4RgcCtdQ1B1MJFJkOiDinHhwA8c8kZbZ20pcf8iKIyFYcpZTK0d6Cv6PlSyKlYCCHEpOPXEDx1cA//88xDABwaHuDSFcdO1bASU5GGoEo+BDPaOpnb0cOOvgMADNWTyVCE4OdIQyDqkMLEZMkcf9vSY0vwJBqCoZCGYN9gH4/u28naGQvoyLQwmMDsqBjSEAghhJh0UowJBHbfWHz+/376wakYTtmUG2UoaDJUvVji/khDg3VlMhSlIZAPgag/yjUZyuMXCHb2HyxZf9jnQzCcHeFTf/olVz90E9c+fAsAQxU6HUsgEEIIMemkiiyK6yHqULlDnAgfAgjuRtaLhsAd6IOBw4UnpCEQdUjYqXg8GoIk+H0ItvcdYM+g9xu66/mnOTDYL4FACCFE/ZEqsij+qr15EkcyPsoOO5qdIIHA11c9OBW7rkv2u5+OPtk9fVLHIkQ1KNeHIE9rqjyBIL/gH3GzfP3hWwPn7t+zjcERCQRCCCHqjGIagtt3bp3EkYyP8k2Gqu9UHGawHvIQ9B2AnU8Fy5aswTnjVTjdM6ZmTEJUQPj3nPT3nXIc2soQCvJOxX/c9RRbDu4OnNt2eB+DFWoI5FQshBBi0illR5913aJCQzlk3Sx3Pf80rakMR89YEEiKNv4+gwKB67pF+50Ip2IIClYDfhOEoYGqXaMS3L4DZP/nGziZFpzz3gDhXcxMK+lXvW9qBidEFUg5Du88+ix+/9xjnLFgVVlt29IZBmKcgY/omc3jB3aNvs9rCPIBGPwMu1mGKnQqlkAghBBi0im1KB9xs6SKZPwsh+u23sfPnroPgPeuP5fV0+dV3OewG4z4kXXdokLORDkV++lP+76vCkMQVgv3xu/DI3fiAu6Dt+JcdGWwQoLoKkLUOutmLmTdzIVlt+tuaWN/KON4ntesPJ7rnryXe3c/C3j3nN39h9h2uDDL93A2Kx8CIYQQ9Uea4oviUjG3k/KTLfeMCgMAP956T1X6DT98R9ziSYMmyqnY8X2PA6k05IWN4UHcGlhsu/fdGHz/86tDFeovS7UQ1WJmW1fsuZZUmmk+R/td/Qf5mz/8NDJEadbNVmwyJIFACCHEpFPMqRgKY26PF78w4F238t1513ULBIKwxsBP3/Ag33nsztH3E+VDgOMEI/Vse3xiriOEqAoz2zpjz7Wm0oGgAdc9eV/sxsOQm5VTsRBCiPqj1MK81I77eJlWhdCWUYv/4SICTFgrUU2BoOB79GX7zX7307g14ksghCiku6Ut9lxLKk27L5txMQZHhssOdBBGAoEQQohJp5RAUC2ToTBD2RH6hocYcbP8aMvd/Mejf+DQUHkReaLGVkyAuW3HlsD7cNzyqhIWeJ59dOKuJYSYMFpSGU6YuyxR3b6RyvOOSCAQQggx6ZQSCKplMhTmruef5kO3/4hfPvUgv3jqfjZve5iflOlXEOW8V45Go6o+BOHvMbyjOEHfoxCicjbNGVvwL+6aHjjXmk6zuGsGizqD5VH0VSHMsAQCIYQQk06pRfGwOzEaAvB203689e7R95u3PVxW+yhhpZjJUJjqOhWHCEUsyf7yq7jPPFK165WDzJWEKM6irum8buUJnDx3BZevOjFwLu8/0NvaXrKf/ipkJpdAIIQQYtJxIqIM+RfK5Sywy71OpURpCL7/xJ8YTBjVZ0IFgsFQCMPD+8n+5ItTE3Ho8IHJv6YQdcYLFh7JG80pLA4l5str/zozrSX7kMmQEEKIuiQqFn+7L7FWNXwIsm62Yke7KKIEgnt2PxOZMCiKauYhKBAuomKa9x2Aw/urds3EHNhduk5Hz8SPQ4g6oCWV5vJVJ7K0ewZvNqeOlndkSjsW90lDIIQQoh6J8iHwR9QoFsYzKdXSMhT2Gy2sJM1xUE0NwctXbBx9/YoVGyEumVsVFgzl4uYSKhUjdfE7JmEkQtQHZyxYxUeOfREnzl0+WhanIfDfL+OyHZeDBAIhhBCTTlQegjafhuCpQ3sqvkY5jskfv/Pn/DThgr5YRtAkzn3pVPUevQs6p/HeY87jjeYUzlloSJ3/59EVY7KhTii7fAJByGESwDn2PJyFqyZvPELUIR3paIHg4mXHVPU6EgiEEEJMOqU0BD944i4OVuiUOlKGY/Izh/dy3ZP38dzhfSXrDhXpd3tfabv5aicmWz1tLifPXUFLKg2rNuIce25hpTJDq1YD9/lnRl9HjqlT5kJClKIzwmRoZe8cjpw2t6rXkUAghBBi0okUCEIPvt8/91hF1xiPydAzhxIIBEX6TWLLW00fgjCOk8I541UQzoAadjaeYNxD+8AX3cg5YkNhpYRJl4RoZsL3RYCzFhxZ9Y0FCQRCCCEmnWgNQSai5vgptpMfx2ACW1y/ydDxs5eyYdbi0fd9IwlMhqr8IA/jZFpIveaDwcJJCgHqup4Tt/vInZD/nhYdiTN7EcxdGqw8QcnnhGgk8r8pP5lUmkwVTQ8Bqnv3FUIIIRKQitiPag/tGLekYhxkEzIeDcH+BDvpfqfillSaFsbGmUxDMPF7cc7sRThHnYz74K0AuMODExCANYj7zCNkr/sKtLbBnu1jY1m+HoDUxe8ke837xhpMstZCiHpk7YwFBWUtqVTV7yNVEwiMMecBHwY2AC3AncCnrbXXl9HHauBjwOnALOBR4Brgi9bagju7MeZk4APAqcAM4HngN8DfW2sfjKi/GPg74EJgLrAb2Ax83Fr7QNJxCiGEqIwoDUFrKvhIqlQgKCd7cJ69g4dL1hkKCQT+nbok8cCr6VRclBZfQqNJWHxnf/yv0H8QDoVOdPUC4PTMDJZPhaOzEHXGtNYOzpy/it899+hoWfi+Uw2q0psx5grgV3gL89uAW4DTgF8YY65M2McG4A7gtcBW4HpgCfAF4OsR9S8DbgIuAZ4BfgbsB14H/MEYc2ao/hHAH4A3A33AdcBO4DW5+qeV8ZGFEEJUQNiO3svKWd2cAd9+9I6y2+wd6CtZJygQpAKaDX/GUNd12T9Y2N9E+hAEaPFFJ5kMp+L+g5HFTmfv2Bu/b8P8IyZ4QEI0BqtDDsQtqXTt+RAYYxYCXwH2AZustRdZay/AEwj2A/9sjFlUog8Hb9HfC7zeWnu6tfYVwGrgHuAyY8ylvvqzc9d0gEustcdZa18OrMHTUnQC3zDG+PXP/wjMAz4HGGvtK6y164GPAB25/oQQQkwC4bCj6VSqIJzn8Dh8API8dXAPTxx4vux2+4aSCARjmodMKh1IHOTXEHzV3sz7bvshh0OhSCcie3Ikfg3BVO7G+wSC1KXvhdmLccwJOObEqRuTEHVERygXQUsqndtECRKleU1KNcSLdwBtwOestfflC621dwCfBtqBUlqC84FjgM3W2m/6+tgJvD339l2++pcC3cA3rbU/9tV3rbWfAu4CluJpLPK8MHf8u5D50f8BDgDrjDHBvNFCCCEmhPCDK+OkGAwJBOXkEQjz5MEEWXIjGBwpLYSETYY6/BqCnEDQPzLE7Tu3RrYfjynTuGhpG3s9SU7FkfgEAmf+ctJv+BipF1+FM1mmU0LUOWH/qoyTjjQ9bK3AzLIav8YLc8cfRZzLl71ovH1Ya28GdgCnG2PyQYtTwJ/w/AWieDh3XOgry9+Bw9qKHjyhZRCI1ncKIYSoKgUCQSpdIBDEZQROQhJfgCiSLNbDTsV+gaBveIi7n3+a99/6w9j22YioIRNCwGSoNgQCIUT5dGQKAy5Emx6OX0NQkVNxztRnLd5iu8CJF29hngWONsY41tq4u+DRueN9MectnhPwWuA2a+2XgS/HjCkFHJ97+7Tv1C/w/BO+bYy5Cs8U6Qjgn/GcoP/JWjv5ud2FEKIJSVGoIRgaCYb8LJYRuBTbDu8vKJvb0cOOEonDhhMIBGENQXvIZOjqB28q2s+kaQhax0yG3CfunZxrRuBExFEXQiSnoyACWyoy23tPSxvbC0qTUWmUoRl45kI7rbUFHkvW2mFjzC68xXwPnk9BFPmYSttizufL5yUY0xXASuBZPOfmPO9kzIzoVl/5EPBuPOflkuQcqK9IUhfYmLCeEEI0FVE+BNUyGXJdl8f37wqULemawfs2nM+7bv5u0bZJtBIBgcBJ05Ee24nvGx4sKVRMlobAybSOuWkf2I2740mccC6AKuHGfW/L103I9YRoJqI0BFH0tnaM+xqVCgRduWMx3WzeQ6ubeIGgVD/+PmIxxhyPt+MP8EFrrX+7aQ+e4/LRwHY8jcZq4CjgL/EiFt1ZrP8cy4EXJKgnhBAihigfgnMWGh7dv3O0rFwNwZMHd9Pd0kb/8BDPDwRjXw5mhyMforPbu/nz1SfzmXv+B0iWu8A/rkwqFXhYH06QhyAcMWTCmDY78Nbd9fSECQRRYU2dF7wGZ81JE3M9IZqItpCGICrC0JnzV3F9BX45lQoE+btiku2OYqNM2k9sH8aYE/BClXYDX7HWfiNU5T+AVwHvtdZ+1tfurcC/Ab80xhyVc2QuxhbghhJ18mwEpiWsK4QQTUPY/jXtpDh29hJmtHWyZ8DbGyonytBtO57gq/YWUo7D+YuOKjg/MDJMynE4Zd4R3LL98dHytlSGhZ1jt+kk5jyDIZOhHl80n1K+C28/6gym+0NvTiRzlwXfj5TOwjxuQuFVnYuuJCVhQIiqkHIcVk+by8P7drCkawZtEVndw5GIyqVSgSC/BVNMR5E/V8xht1Q/RfswxlwE/CeeMPA1vB1///kL8YSBn/uFAQBr7TXGmFOANwJXAZ8oMk6stdcC1xar47vuZqRNEEKIApwCp+IUKcfh4mXHcO3DnlVnORqCr1rPQjTruvzy6cI8kwO5xfAbjjwpIBC0poPh+5L4EOQFFvCSBnW3tJFyHLKuO3qdKDbMXMTG2UtKf5gq4TgOzoazcO/e7BVMpEAw4NMQzFooYUCIKnPVUWfwwJ5trJk+v+D+CYWRiMql0ihD+/EW87ONMQXCRa5sNtBvrd1bpJ9nc8f5MedjfQyMMW8DfoInDHwWeHNEVuOzcsdfxfT/89zx2CJjFEIIUSXCGoK8OY/frCeJ+U5SBrLeYjhsqpR2UoHwfSMJrrnLl4BrVnsXKceh1x/zP4ae1tJ1qo4/+/NECgT+PAdT8TmFaHC6Wto4Ye7y2PtIR6ayPf6KBIJc1KD7gTSePX4Yk7tGqfAG+ehCaws68CIZrcEzK3ogdO6jjCUo+2tr7XtjIhlNzx3j7ob58sr0LUIIIRIRTs6Vj6LhFwgqiTIU5qjp0ftNaScVsMcddrO4RZx+B0eG2Z9b/KZwmJEz/0nizNeTQGioOumJEwjcbBb3QC7fgz/DcwWOjUKI8eEPbjAeqpGH4Prc8ZKIc/myn0ecS9rHqcAc4CZr7Wi8OGPMu4CP4UUJep219vNF+n8od7wo5vz5uePdJcYphBCiCoRV3vnQnRMhEMxu7+bPVp4QeS7lOKN/eYpFAdrVP+asPLO9c1SYmJZgVzyJFqHq+AWCKgpYrpsl+62Pk73mfWRv/xmu34dAGgIhJoWNsxYD3gbLupkLS9QuTjUEgq8B/cAHclF+ADDGbALejxch6Eu+8pXGmDXGGL+z7Q14mobzc06++bpzfG0/4ytfD/xT7u0brLX/WWKM38bzP3iRMead/hPGmFcDb8t9hmtKf1whhBDVJq8hyFRZIHjn0WfxiU0vZU5HdJC6vOlSUj+C3b7oRbPaxvqclkRDMBUL5YCGoIqpdp58CHY+BYB70w+gf8yvwmnvimslhKgif7ZyEy9btp7/dcy5dPszk4+DSp2KsdZuMca8F/gicIsxJp89+Jxc/2+w1u7wNfk1sAzPiffaXB9ZY8ybcueuNsa8Gc+v4Cy8XAfXWGt/6uvjb/GSie0FXmKMeUnM8P7NWnujtXaHMeZyPMfjLxhj/hJPAFkFHIOnZXijtXbLuL8IIYQQ42ZMQ+BbmCcUCIrV68y0FvgN+MnnQ/BnSh7OZmmLDvPN4eGxlDv+B/C8jtLZeOe0F42cPTH4Q62OVE9DEPAZAPBpTpisKEpCNDnT2zp58dL1VemrGhoCrLVfAl6Kl/DrdOAEvLj+51trv5mwj9uBk4DvA0cCLwS24kX+eXuo+oW543TgsiJ/K339/zg3rm8Bvbnxzs9d7xRr7XfK+MhCCCGqyKiGwPFrCJI5FR8aLsiLOUpniSy5eZOfoIYgfuHc79tl9+cfOG3eEQXZl/PMbu/m3IWGZd0zi45lQvB//mr6EITjoD//zNhraQiEqDsq1hDksdZeB1yXoN7yIuceAF6ZoI/SWzHR7e4FLh9PWyGEEBNHe4RTcdI8BAeHBmLPlYrNndceJI001OcTCPxh/rpa2ljSPYOtB3cH6n/6xEsmL+9AFAENQfUEAjeUiMx96LaxN+3SEAhRb1RFQyCEEEJUQkeEU/FgQpOhQ0UEgs4SAkG0hiBeIBgYHltUt4eSA4WvtaJn1tQKAzBxUYZCicgCtElDIES9UTUNgRBCCDFe8rvtrX6BIKHN+8EiJkN+ASOKSKficWgIoFAg8Js/TRmBKEPJBAL34B7ce36Hs/hInKXBaODu7m1kf/9DeOqhmNbgSEMgRN0hgUAIIcSUM73VW0S2+RawAwmj4sRpCPIh+YqRNxUKmAwV0xAUEQi6wgJBqgaU8OPQEGR//U147C5cIHXV53A6x6x0s7/8Kmx7PL4xyIdAiDqkBu5WQgghmpGX5qJjrJ0+n6XdMwBvRz/vnDvsZova8+fzBRwajhYI3rLmtJJjyAsgSZ2KAxqCkMNyZ0tQIAhnY54KHF+mYjepydBjd421eSyUnqeUMAAyGRKiDpGGQAghxJTwkmXrOXPBkfS0tI0mKnMch7Z0ZnTh3T8yTFeq0A/gW4/czh07t/LKI47l4FC0yVCcudAlyzfwoy13k3FSXLj4aCCY/6CYENI/ktyHIF3CXGlSSPvG0HcQ9ykLC1fipBM+/n1CjVtEcxJAJkNC1B0SCIQQQkwZvRHJutrTLaMCwcDIEF2hnfdth/fxu+ceBeAbj9zOafOOKOuaFyw+iiVdM5jX0TN6/XRCp+L+YV/Y0QKToWBioEw4NOdU4B/js4+S/d4/wpHHk37pXyRr79dyHD6QrE1b6SRtQojaQgKBEEKImsLvR9AfYeayq/9g4H0xp+IoUk6KdTMXBsoyqWROxf48BG0lnIrTNSEQRGgpHrkTd2Q4UktQoAXwCwT7n09wQQenFj63EKIs9KsVQghRU7SXcCwORx+Kcip+zRHHl3VN/27+v9y/mS/c91uGIsKexiUmgxp1Kk7F7Pvt2zn60nVd3Jw/BuHv0qcRcffvKn29CI2PEKL2kYZACCFETeHfeY/SEAyGwmf6BYIr15xOZ6YVM31eWddMhxbv9+/Zxu07tnDa/JWB8qAPQR1oCDIxj/nd22DmArJ//B/c3/8A0hlSF10JsxcF6/kFhF1PR/TfCn4NTUtbYR0hRM1TA3crIYQQYoxSGoKBkJCwe/Dw6OtV0+Zw1Iz5oxmIkxJl7//Y/p2B967rBnwIwk7FYQ1BTQgEMRoCd/c23JFh3Ju+7y36+w+R/cHnyH7tI8GKPoHAfW5rQT/OWa8NFkhDIERdUgN3KyGEEGKMgA9BRDKtgVBZXkCY2dZJb8v4FqRREYF6W4POsUPZEbJ4pjUZJxWITAQRiclqwWQoLprQ3p2w5b7g7j4UmgzlIji5g32w9b7AKefs15E65gWwcuNY2dGlQ70KIWoPmQwJIYSoKfwmQwPDEQJBTDz9tTMWjIYvLZd9g30FZX3DQ+zqP8hwNsu01nZu3j4Wgz9sLgRBQQYYs8ufSmIEAve+G3Hvu7F0+6EB3ME+ste8f6yss5fU2z47+l2nznot2cF+nM5enONfWI1RCyEmGQkEQgghaor2gIag0GSobzg6g/HSrpnjvubS7hk8sGdboOyRfTv43XOPkHVdMk4qEI40nJQMKBBGwpqMKSFpvoE4hgZgy/0wMGaW5Zz44sBndabNIf2q91V2HSHElFID+kwhhBBijLaAD0HhorovJsxoOF9BOZw+bxUremYFyp45vHc0G3I4N0HYfyCKwaSZgSeShMnRnBdfReqv/q3wxNAA7sG9wbobz6nCwIQQtYQEAiGEEDVFeyDKUKE24HCcQJAZf4SbOR3dfHDjBXxgQzKTlyiToTBxpk2TSoQmIwqnozs6L8HQABzeN1bvlItxasE3QghRVfSrFkIIUVOU0hAcihEIwk694yEcKSiORAJBLZgMhTUE7V3R9Tq6AXBOfmmwfGgADo0JBHRNq+LghBC1ggQCIYQQNYV/sR0pEEQkIoPKTIbG+kimZQgnJYsinEBtSkilYc4S7/Xcpd5fFB09gOcfwCxfLoKhQVyfQOBIIBCiIZFAIIQQoqYIhB0NmQz9ZOs9bOvbH9ku6e5+MTozLSSJUxSnIbh0xbG+1xsrHk+lOI5D6pJ34Zz7elIXvxNnyVHRFfMagkwLqRdfOVY+2CcNgRBNgKIMCSGEqCniNASDI8P87Mn7opqQwklkxlOKlJOiI9Na4KfQ09LOgaF+3xijH59nL1xNWzpDd6aNlb1zKh5PNXB6ZuJsOMt7s/5M3D9cH4gaBAT9B7qmj70+uCeYfVgCgRANiTQEQgghagq/huDhfTu4f8+zAAxls3FN6My0jjsHQZgoTcO0UAbeOOGjJZXmBQuO5Pg5S6s2nmridPaQevX7oXdWfKX2rjEhYGgADvs0MjnTIiFEYyGBQAghRE0RTvD1hfs2k3VdRtx4gaAa/gNjfRX6EUwLZS2OykNQLzhzlpA657L4844TLTCk0pXnNRBC1CQSCIQQQtQUUbvvj+zbUVQgmNUWEz1nHERrCIICwZz27qpdb0pYcQysPBbau0m97B2F57unF5a1tNWk1kMIUTkS9YUQQtQUYQ0BwKP7dzC7yCJ84+wlVbt+VD6DjpCQctT0+VW73lTgOA7pi9+B62ZxnMK9QWfaHNxwYchsSgjROEhDIIQQoqaIEgj2DvQV1RCYaXOrdv0o86OjZswfHddZC1bT2iCmM1HCAICzbF1hoQQCIRqWxrijCSGEaBjSEYvUPYOHiwoE1YgwlCdKQzCttYOPHncRTx/ay9EzFlTtWjXLqmMLyyQQCNGwSEMghBCi5imlIYjSKoyXKB+CjJNmdns3G2ctpiWc/bcBcRwHx5wYLGyRQCBEoyKBQAghRM3z1KE9/Odjd8aer6YJT9iB2Ou/8YWAAtpDjtrSEAjRsEggEEIIUXNEmQ09vG9HWfXHyxG9swvKmkErUEDIiduRQCBEwyKBQAghRM3xV+vOZnn3zCm59oy2TmaHdsczThMKBB0hDYFMhoRoWCQQCCGEqDnM9Hl86NgLi4YanUhW9AS1BDIZQiZDQjQwEgiEEELULFNlqjOvozfwPlNFk6R6wSkQCAqjLwkhGoPmu8MJIYSoG1pSU/OYCmcibsoMvTNCyddkMiREwyKBQAghRM0yVbb7czqmxlSplnBmzMPZcNbY+/nLp2wsQoiJRYnJhBBC1CxTZTK0vGcWCzp62da3nw2zFk/JGGoB55zLcZavh7ZOnIWrpno4QogJQgKBEEKImmWqTIbSTor3HHMejx/Yxdrp80s3aFAcx4GVG6d6GEKICUYCgRBCiJolM4Xx/3tb29nYxNoBIUTzIB8CIYQQNUtTJgQTQohJpmoaAmPMecCHgQ1AC3An8Glr7fVl9LEa+BhwOjALeBS4BviitTYbUf9k4APAqcAM4HngN8DfW2sfjKjvAFcAVwLrgDRwN/B5a+1/Jh2nEEKIySGJQDCvo2cSRiKEEI1LVTQExpgrgF/hLcxvA24BTgN+YYy5MmEfG4A7gNcCW4HrgSXAF4CvR9S/DLgJuAR4BvgZsB94HfAHY8yZofpOrp+vAuuBzcDtwAnAd4wx70z+iYUQQkwGcQLB2hkL6Mq00Zlp4W1HnTHJoxJCiMaiYoHAGLMQ+AqwD9hkrb3IWnsBnkCwH/hnY8yiEn3kF+u9wOuttadba18BrAbuAS4zxlzqqz87d00HuMRae5y19uXAGjwtRSfwDWNMi+8yVwCXA/cBR1prX2qtPQs4CxgAPmuMmVvRlyGEEKKqxCUEm9/Ry6dPuoRPn/hyFnVNn9xBCSFEg1ENDcE7gDbgc9ba+/KF1to7gE8D7XgmOsU4HzgG2Gyt/aavj53A23Nv3+WrfynQDXzTWvtjX33XWvsp4C5gKZ7GIs9HgGHg1dbabb42NwFX42kZNiX4vEIIISaJOA1B2knRkkrTmlZsDCGEqJRqCAQX5o4/ijiXL3vRePuw1t4M7ABON8bkDUVTwJ/w/AWieDh3XAhgjNkIrAR+EeVbYK19l7V2ubX25yXGKYQQYhKJizKUTjVh5mAhhJggKtpayZn6rAWyQMFCG29hngWONsY41lo3pqujc8f7Ys5bYG7uWrdZa78MfDlmTCng+Nzbp3PH43LH23PnXwKcA3TgCRbfsNYeirm2EEKIKSJWQ6AgeUIIUTUq1bXOwDMX2mmtHQyftNYOG2N24S3me/B8CqJYkDtuizmfL5+XYExX4GkDnsVzbgbIp1c8BPwaz2/AzweNMS+K0h6EyTlQX5FgHAAbE9YTQggRQVxiMmkIhBCielQqEHTljoeL1OnLHbuJFwhK9ePvIxZjzPHAP+feftBaO5x7PS13/CgwCLwaLyrSPODjuffXGWPWWWv7KM5y4AUl6gghhKgCxXwIhBBCVIdKBYKR3DHOFMhPsbt30n5i+zDGnIAXqrQb+Iq19hu+02254zTg9JxfAsBeY8xr8Rb5J+JFIbqmxBi2ADeUqJNnI2PCiBBCiDKRQCCEEBNPpQJB3u6+o0id/LmDFfRTtA9jzEXAf+IJA18D/jJUJa95uNsnDABeZCJjzDV4AsHZlBAIrLXXAtcWq+Mb12akTRBCiHETF3ZUAoEQQlSPSu+o+/EW87ONMQXCRa5sNtBvrd1bpJ9nc8f5MedjfQyMMW8DfoInDHwWeHNEVuOdueOWmP635o6zi4xRCCHEJDPkFiSpByDlyIdACCGqRUUCQS5q0P1AGi+JWBiTu8a9JbrKRxdaW9CBF8loDZ5Z0QOhcx9lLEHZX1tr3xsTySh//YUx188LIjtKjFMIIcQkcnBoILJcGgIhhKge1bijXp87XhJxLl9WKr5/sT5OBeYAN1lrD+QLjTHvAj4GDAGvs9Z+vkj/v8XLRrzJGLMi4nw+D8KNJcYphBBiElnZG624lYZACCGqRzUEgq8B/cAHclF+ADDGbALejxch6Eu+8pXGmDXGGL+z7Q14mobzjTFv9dWd42v7GV/5euCfcm/fYK39z2IDtNbuA/4d7/N+yxgz09fXa4A/wzMrKtqPEEKIyWVl7xwuXLKWo6YHLUoPDxdEuhZCCDFOKs75bq3dYox5L/BF4BZjTD578Dm5/t9grfWb4vwaWAa8kZxzrrU2a4x5U+7c1caYN+P5FZyFl+vgGmvtT319/C3QAuwFXmKMeUnM8P7NWpvf9f8gXtSf04DHjTE34PkmnIAn0FxRws9BCCHEFPDy5RsBeNuN3x4t2z/UP0WjEUKIxqMqRpjW2i8BLwVuBU7HW2TfBJxvrf1mwj5uB04Cvg8cCbwQz9n3KuDtoep5E5/pwGVF/lb6+j+IJ6S8H3gy1/9y4IfAadbaUmZNQgghaoTprcWC2wkhhCiHijUEeay11wHXJai3vMi5B4BXJuijt6zBjbUbBP5v7k8IIUQd8Y6jX8DVD97EzLYuzpi/qnQDIYQQiaiaQCCEEEJMJOtnLuIzJ19KJpWWU7EQQlQRCQRCCCHqhta0HltCCFFtFMhZCCGEEEKIJkYCgRBCCCGEEE2MBAIhhBBCCCGaGAkEQgghhBBCNDESCIQQQgghhGhiJBAIIYQQQgjRxEggEEIIIYQQoomRQCCEEEIIIUQTI4FACCGEEEKIJkYCgRBCCCGEEE2MBAIhhBBCCCGaGAkEQgghhBBCNDESCIQQQgghhGhiJBAIIYQQQgjRxEggEEIIIYQQoonJTPUAGpxVAA8++CCvf/3rp3osQgghhBCiQXnwwQfzL1eV21YCwcQyE+DAgQPcfvvtUz0WIYQQQgjR+Mwst4EEgollxPd6H3BXGW1fkDveMMFtmqHdeNvWy+cbb7uNwDRq1z+2FwAADn5JREFUe25W0rYe2ul7iWcjjTs/6+V/oO8lmo2Mb26O95qNfE+ql3tgvYzzFKCV4PozEY7ruuW2EQkxxmzG9w+11p5VRlsXwFrrTGSbZmg33rb18vkqaLcZb37W7NyspG09tNP3UrTdZhp0ftbR/0DfS3S7zYxjbo73mo18T6qXe2AdjXMz45ybcioWQgghhBCiiZFAIIQQQgghRBMjgUAIIYQQQogmRgKBEEIIIYQQTYwEAiGEEEIIIZoYRRmaQCqJMiTERFNJNAIhJhrNT1GraG6KWkVRhoQQQgghhBDjQgKBEEIIIYQQTYwEAiGEEEIIIZqYzFQPoMG5Ftibe/2jKRuFENFcC2wGtkzpKISI5lo0P0Vtci2am6I2uZZxzk05FQshhBBCCNHEyGRICCGEEEKIJkYCgRBCCCGEEE2MBAJRcxhjNhtjXGPMFeNsf1au/f9UeWhCaH6KmkbzU9Qqmpu1jQQCIYQQQgghmhgJBEIIIYQQQjQxEgiEEEIIIYRoYiQQVECl9nAiGcaYv8t9z38Tce703LnNUzC0mkVzc/LQ/Cwfzc/JQ/OzPDQ3Jw/NzdpCAoEQQgghhBBNjAQCIYQQQgghmhgJBEIIIYQQQjQxmakeQKNhjOkE/hK4FDBAF7AbuBn4P9ba2311zwJ+C3wG+BrwSeBMoB24C/hHa+2PJm/0opHR3BS1jOanqFU0N0UzIA1BFTHGdAC/A/4RWJR7/d9AFng5cKMxZlNE0w3AbcAJwI3AA8ApwA+NMZdOwtBFg6O5KWoZzU9Rq2huimZBAkF1eQdwPPBfwApr7cXW2pcAK3JlrcDbItqdB3wPWJlrswn4+9y59038sGsWN0Gd9ISPojHQ3Kw+mp/VQ/Oz+mh+VgfNzeqjuVmDSCCoLn3Az4EPWWuH84XW2gHg2tzbpRHt+oF3WWv7fWVfzB2PnoBxTjnGmBONMd83xnw04nRL7nggd8zmjlEmbtOrPbYGRXOzDDQ/Jx3NzzLQ/JxUNDfLQHOzfpEPQRWx1v4r8K/+MmPMdGAd8KJcUWtE0westQdCZdvxpOiuKg+zVpgNvALoiTi3IHd8Nnc8mDvOj6h7cpXH1ZBobpaN5uckovlZNpqfk4TmZtlobtYp0hBUGWPMAmPM3xtjfm+M2QXswbMf/ItcFSei2d5wgbXWxZOeo+o3ArcCg8CZxph1+UJjzEV4qth9wJ254ntzx0uNMYt8dU/Bc/QSCdDcLAvNz0lG87MsND8nEc3NstDcrFOkIagOLoAx5mzgOqATeBK4AXgQb/IPAT8t1r6ZsNbuNsZ8BvgQcLsx5rdAG3BWrsr7rbVDude/Af4EHAvcn6s7Czgd+Cbw+skce52huTkOND8nDc3PcaD5OSlobo4Dzc36RQJBCYwxJwIfAO621n48dHrUHs4Y4wD/jnfTeIu19v+F+nnphA+2zrDWftgY8xRwFXAuns3lTcBnrbU/8dUbMcacB3wMTxV5EfAY8G7gGpr0pqG5ObFoflaG5ufEovk5fjQ3JxbNzfpEAkFpktrDzQGOAJ4L3zRyvDB3lJmWD2vtl4EvJ6i3G3hn7i+ME6q7OVzWoGhuTjCanxWh+TnBaH6OG83NCUZzs/7QJC5NUnu45/GiEcwzxpzkq+cYY94IvD1X1D5ZAxcNj+amqGU0P0WtorkpRAhpCEpQjj2cMeYLeGrIG40xm/E86Dfi3WAeBNYQ7U0vRNlobopaRvNT1Cqam0IUIg1BAqy1H8aLJvAInj3cJjx7uIuttVf7qv4Nnu2bBU4DLsCLt/s3eIlN7gWWGGM2TNrgRUOjuSlqGc1PUatobgoRxHHdpnSEF0IIIYQQQiANgRBCCCGEEE2NBAIhhBBCCCGaGAkEQgghhBBCNDESCIQQQgghhGhiJBAIIYQQQgjRxEggEEIIIYQQoolRYjIfxpg0XubBPweOAtLA48B3gP9rre0P1d8E/G/gBKAbuB/4Z2vttxNcywB3AZ+01v59TJ3H8NKmx9FirR0udS3RGNTg/HSAK4ArgXW58dwNfN5a+5/lf0JRr9TK3DTG/F2u31LcYK09K0E9UefUytz01VkM/B1wITAX2A1sBj5urX2g7A8oRJWQhiBH7qbxY+Bf8DIP3or3I10IfBzYbIzp9NU/H7gZeBHeDeO3wHrgW8aYT5a41hzghxRJd26MmYaXCXE78K2Yv2z5n1TUIzU4Px3g68BXc/1uBm7He4h+xxjzznF8TFGH1NjcvIf4++W3gL5cvT+W+TFFHVJjcxNjzBHAH4A3483F64CdwGuAPxhjThvP5xSiGkhDMMZbgBfjPVAustY+A2CMmQ38BDgF+FvgQ8aYDuCbuXbnW2t/m6u7Eu9m82FjzA+stXeGL2KMWQd8H1hdYjwbAQf4qbX2rZV9NNEA1Nr8vAK4HLgPeKG1dluu/enA/wCfNcb8p7V2x7g/sagXamZuWmt/APwg6pwx5i3AZcDvgfeX/zFFHVIzczPHPwLzgM8B/8tam821/zDwSeAreAKIEJOONARjXJE7vjt/0wCw1u7CUzcCvDZ3fD2equ9b+ZtGru5jwAdyb9/l79wY02mM+ShwG95N44kS4zk2dyy4+Yim5IrcsVbm50eAYeDVeWEgd42bgKuBZ4BNST+cqGuuyB1rZW4WYIw5Evhn4ABwmUwtm4YrcsdamZsvzB3/Li8M5Pg/eHNznTFmRoLPJUTVkUAwxi7gITyzhzAP544Lc8cLc8cfRdS9DhjBUzn6eTXwMWA/8Ao8c4tiSCAQfmpmfhpjNgIrgV9Yax8Mn7fWvstau9xa+/O4PkRDUTNzswifBzqBj1hrt46jvahPam1u5oWARaHyHjxTo0HgYIk+hJgQZDKUw1r70iKnT8gdn84dj84d74voZ78x5llgiTFmnrV2e+7U83iOSp+11h40xmwoMaRj8W5AxhjzGeAYwAVuAj5hrY26wYkGpcbm53G54+3GmBTwEuAcoAP4E/ANa+2hkh9KNAQ1NjcLMMZcAFwEPAB8qZy2or6pwbn5CzyNxLeNMVfhmTIdgae9agH+yVo7VOpzCTERSCAoQc558hO5t9/PHRfkjtsKW4yWL8GzFdwOYK39KfDThNdsYywawjeAO/Ccm9bhLb4uMMa8zlr7X2V9GNFwTMX8BFbljoeAXwNnhc5/0BjzoijtgWgepmhuRvGx3PHj1tqRCvoRDcIUzs13AkuBU/EcnPMMAe8GvlBGX0JUFZkMleYfgDPxbgD/N1fWlTv2RbYYK+8e5zXX4wlrB4DzrLUnWmtfbq09EvhrvJ2Ea40x88fZv2gcpmJ+TssdPwqsxVObz8CL4vFdYBlwXc5JTzQvUzE3AxhjTgFOwjMP+V41+hQNwVTNzT14ZkX78Obkj4EH8Z7pf8mY9lWISUcCQRGMMR8HPggM4DlP7sydGgFca61bootxfb/W2j/g7Vast9b+OnTu83g2jl2MOUyJJmSq5ifQljtOA15urf2etXavtdbiqcNvx1ODXz7O/kWdM4VzM0w+/O0/hZw4RZMyxXPzP/AiCX3cWmustZdYa9fi5XJZBfwyF75UiElHAkEExpiMMebf8MKR9eMten7nq3IIcIwxcfGG8zuj43YOstY+V8T5La+iPH68/Yv6pQbm5+Hc8W5r7c3+E7mH6TW5t2ePs39Rp9TA3PSPpR14aW4cSpTX5Ez13DTGXAi8Cvi5tfaz/nPW2muAa4FZwFXj6V+ISpFAEMIY04234L4S2AtcYK39Rajas7ljnMlOKVvESnkud+wsWks0HDUyP/M7altizucF2dnj7F/UITUyN/2ch2fe8XNr7f4q9CfqlBqZm2fljr+KOZ+PynZszHkhJhQJBD5y8X8344Ufewo4I7SDkCcfhWBtRB+9eGHMdvoiEZQ7jtcYY75tjHldTJUVuePTMedFA1Ir8xO4N3dcGHM+/0BVUrImoYbmpp98iEgFX2hiamhuTs8d43Jg5Mtbx9m/EBUhgSCHMaYVT0I/Hi883anW2oLwYzmuzx0viTj3UrzoQJXEYJ8L/BljiVP843QYs83+ZQXXEHVEjc3P3+LZ324yxqyIOJ+P531jBdcQdUKNzU0/J+WOt1SpP1Fn1NjcfCh3vCjm/Pm5490VXEOIcSOBYIyPAyfj7SCcZa0ttvv+fbzdzyuMMaM/bmPMEXgZB13gszFtk/AdvEQnpxtj/trXv4MX2eVkvF3an1RwDVFf1Mz8tNbuA/4d7/7xLWPMTN81XoMnzO5EdtvNQs3MTV9/rXjR2p631m6ptD9Rt9TS3Pw2nv/Bi4wx7/SfMMa8Gngbnm/DNRFthZhwlIcAMMbMYiwl+U7gc8aYyLrW2stzSUreincDuc4YcwNeiNBzGcuGec94x2Ot3WmMeRNeRILPGmPejLe7sB4vPfpzwKXW2jjVo2ggam1+5vggsBE4DXg8d40FeMl++oErrLV7K7yGqHFqdG6Clwm2lTF/K9Fk1NrctNbuMMZcjrdR8gVjzF8C9+NFFzoGLxfBGyXAiqlCAoHHCxiLIHAcxWMBXw5grf2JMeYFjO3YO3hZBz9rra043rW19vu5GNofxouXvBrP6elf8DIV7yzWXjQUtTg/DxpjzgH+Cng98EK8h+cPgb+31v6x0muIuqDm5maOfOjGvVXqT9QfNTc3rbU/NsacAHwAL7v7S/FyE3wf+JS19s5KryHEeHFct1TIXSGEEEIIIUSjIh8CIYQQQgghmhgJBEIIIYQQQjQxEgiEEEIIIYRoYiQQCCGEEEII0cRIIBBCCCGEEKKJkUAghBBCCCFEEyOBQAghhBBCiCZGAoEQQgghhBBNjAQCIYQQQgghmhgJBEIIIYQQQjQxEgiEEEIIIYRoYiQQCCGEEEII0cRIIBBCCCGEEKKJkUAghBBCCCFEEyOBQAghhBBCiCZGAoEQQgghhBBNjAQCIYQQQgghmpj/Hx9lmR72DQinAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 277,
+       "width": 386
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -286,7 +255,7 @@
     "fig, ax = plt.subplots(nrows=1,ncols=1)\n",
     "trc_target.plot(ax=ax)\n",
     "ax.set_title('Total Risk Contribution')\n",
-    "ax.plot()"
+    "ax.plot();\n"
    ]
   },
   {
@@ -295,11 +264,18 @@
    "source": [
     "You can see the Total Risk Contribution is roughly equal from both assets."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -313,9 +289,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/examples/PTE.ipynb b/examples/PTE.ipynb
index 3bcf254b..476501f5 100644
--- a/examples/PTE.ipynb
+++ b/examples/PTE.ipynb
@@ -1,8 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Predicted Tracking Error Rebalance Portfolio"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -11,12 +18,6 @@
     "import matplotlib.pyplot as plt\n",
     "\n",
     "import ffn\n",
-    "\n",
-    "#using this import until pip is updated to have the version of bt with the targetVol algo\n",
-    "# you will need to change this be wherever your local version of bt is located.\n",
-    "import sys\n",
-    "sys.path.insert(0, \"C:\\\\Users\\JPL09A\\\\Documents\\\\Code\\\\pmorissette\\\\bt\\\\\")\n",
-    "\n",
     "import bt\n",
     "\n",
     "%matplotlib inline"
@@ -31,27 +32,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1dc7e64b6d8>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 262,
+       "width": 377
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -71,7 +68,7 @@
     "rdf['rf'] = 0.\n",
     "\n",
     "pdf = 100*np.cumprod(1+rdf)\n",
-    "pdf.plot()"
+    "pdf.plot();"
    ]
   },
   {
@@ -87,28 +84,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 17,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "Target\n",
-      "0% [############################# ] 100% | ETA: 00:00:00"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2054: RuntimeWarning: invalid value encountered in minimum\n",
-      "  negative_returns = np.minimum(returns, 0.)\n",
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2056: RuntimeWarning: divide by zero encountered in true_divide\n",
-      "  res = np.divide(er.mean(), std)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "selectTheseAlgo = bt.algos.SelectThese(['foo','bar'])\n",
     "\n",
@@ -144,32 +122,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1dc6c3d70b8>"
-      ]
-     },
-     "execution_count": 4,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 262,
+       "width": 373
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res_target.get_security_weights().plot()"
+    "res_target.get_security_weights().plot();"
    ]
   },
   {
@@ -181,28 +155,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 19,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "PTE\n",
-      "0% [############################# ] 100% | ETA: 00:00:00"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2054: RuntimeWarning: invalid value encountered in minimum\n",
-      "  negative_returns = np.minimum(returns, 0.)\n",
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2056: RuntimeWarning: divide by zero encountered in true_divide\n",
-      "  res = np.divide(er.mean(), std)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# algo to fire whenever predicted tracking error is greater than 1%\n",
     "wdf = res_target.get_security_weights()\n",
@@ -249,27 +204,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 20,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 277,
+       "width": 373
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -284,12 +235,12 @@
     "realized_weights_df.plot(ax=ax)\n",
     "\n",
     "ax.set_title('Target Weights vs PTE Weights')\n",
-    "ax.plot()"
+    "ax.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -309,7 +260,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -325,7 +276,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -334,27 +285,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 277,
+       "width": 373
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -362,7 +309,7 @@
     "fig, ax = plt.subplots(nrows=1,ncols=1)\n",
     "trans_df.cumsum().plot(ax=ax)\n",
     "ax.set_title('Cumulative sum of notional traded')\n",
-    "ax.plot()"
+    "ax.plot();"
    ]
   },
   {
@@ -374,27 +321,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAYQAAAEICAYAAABfz4NwAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzsvXl43NS9//860sx4vDuOs+8bEEjSpCRlh5Ru0BKgEL4pl51SCi3c371dKNCWvZQWWi6UcqGFC4FSoAUawk5ZEggQIIQQSCALSUjsbI4dL2N7Fknn98eRRprxjD22x3YWvZ/Hj2eko6MjjXTe57MLKSU+fPjw4cOH1t8D8OHDhw8fewZ8QvDhw4cPH4BPCD58+PDhw4ZPCD58+PDhA/AJwYcPHz582PAJwYcPHz58AD4h+NjDIYQICyGkEGJkN4+/XghxVw7tlgohzu7OOfoDQojPhRBH2J9vEULcl8e+c7pnPvY9+ITgo8sQQkQ8f5YQos3z/axOjj1BCLE+j2NZKoSI2ueuFUL8QwgxyNkvpbxWSnlZvs7nOe95QojlQogWIcQ2IcSzQojD89DvY0KIX3XWTko5QUr5Th7O1+736K175mPPh08IProMKWWJ8wdsBuZ4tj3SD0O6yB7LgcBg4JbePJkQ4mr7HNcBg4AxwH3AKb15Xvvcgd4+h4/9Fz4h+Mg7hBCFQog/2yvnaiHErUKIoBBiIPAvYLxHohgohDhKCPGuEKJRCLFVCHF7dyY+KWU9sBCY7hlLUp0ihCi2V+D1QogG+5wDMox/pBBitRDi8gz7BgLXABdLKRdKKVullHEp5QIp5VUdXb+97wQhxHohxNW2RFPjSFVCiP8ETgd+bd+bf9rbtwshfiaEWAU0ebYd7RlasRDiSSFEsxDifSHEIXa7dio3Rwrp4PdIUUEJIU6370eDEOIVIcQkz77tQoj/FkJ8Yv9+jwghQl375XzsKfAJwUdv4HpgGjAVOBSYDVwhpawDvgts8EgUdUACuAyoBI4B5gAXdfWktqroVCCbSuoiIACMAKrsc8bT+pgELAZ+J6X8U4Y+jgEk8GwHQ8l4/Z79YwABDLfHcI8QokRKeSfwJHCjfW/O8BwzD/gGMDDLOU8H5qPu4dPAU0IIvYMx0sHvkYQQYgrwIPAjlPS1GFiYRthzga8BE4HDgP/o6Lw+9lz4hOCjN3AWcK2UcpeUcgdwE3BOtsZSyveklO9LKU0p5eco9ctxXTjfvUKIJmAnUAj8d5Z2CZSKZ4KU0rDP2eLZPw14Bfi5lHJ+lj4GAjtkx0nAOrv+VuC3UsqElPJfKIKZ2Mk13i6l3CqlbMuy/21bYkmg1FlVwJc76TMXnAn8S0q5SEoZB262+56ZNrYdUspa4Hk8EpqPvQs+IfjIK4QQAhgKfOHZ/AVqVZ7tmIOFEC8IIXbYE/s1qEknV/xQSlmGmgCHolbemXA/aoX7hK3KuTltFX0esAG1ws6GOmCIfZ2ZriWX66+VUlqe761ASQfnBNiS634ppQFsJft96AqG47kWKaUJ1JB6Pds9n3O5Fh97KHxC8JFX2Cvn7Si1iIPRqEkE1Go4HX8FlqNW7mXADSiVSlfP/SHweyCjy6SUMialvEZKeRBwLHAG8D1Pk6uBKDBfCJHt3Vhij+07Wc7R2fV3ehld3O5glPPBJrnhKFKIoySjIk/boV3odyuea7H7HkHu1+NjL4JPCD56A48C19oGysHAL4G/2ft2AIOFEN5VZCnQKKWM2MbQH/Tg3PcBE4QQ30rfIYT4ui2NaCjjrAGYniYxlE59KHB/JilASrkLuBGlpjrJNiAHhRBzhBA353D9nWEHMD7Htl4caY8niLJX1AHLbUnkY+AsIYQuhJgDHJF2vvTfw4vHge8KIY61+77S7ntZN8boYw+HTwg+egPXAKuBVcAK4C3Uyh3gI5Qn0Be210olSud/kRAiAvwZNQl1C7aO/S7g1xl2j0Cpg5qBT1D67n+kHR8FTgYmoIy9mUjhN6hJ/kZgF8r19mJcVVNH198Z/gLMsu/NYzkeA8oYfSGwG2VgPt1W74AyXM+z932XVIN4pt8jCSnlSuD7wL1ALcp4fIqtlvKxj0H4BXJ8+PDhwwf4EoIPHz58+LDhE4IPHz58+AB8QvDhw4cPHzZ8QvDhw4cPH4AK499rUFVVJceOHdvfw/Dhw4ePvQZVVVW89NJLL0kpT+is7V5FCGPHjmXZMt/92YcPHz66AiFETpH/vsrIhw8fPnwAPiH48OHDhw8bPiH48OHDhw9gL7Mh+PDhY/9FIpGgurqaaDTa30PZYxEOhxk5ciTBYLBbx/uE4MOHj70C1dXVlJaWMnbsWLJkH9+vIaWkrq6O6upqxo0b160+fJWRDx8+9gpEo1EGDhzok0EWCCEYOHBgjyQonxB8+PCx18Ang47R0/vjE4IPH32A5tdfJ7FtW38Pw4ePDuETgg8fvQxpWVRf+iO+ODtrWWkfewk2bdrElClT+nsYvQafEHz46GVYzc0AGLW1/TwSH/0Jw9jzawr5hODDRy/DbGwEQC8v7+eR+MgHDMPgvPPOY9q0acydO5fW1lZuuOEGZs2axZQpU7j44otxCo/Nnj2bq6++muOOO4477rijn0feOXy3Ux8+ehlmQwMAWnlZP49k38H1z6xi9damvPZ58PAyrp1zSKft1qxZw/33389RRx3FhRdeyN13381ll13GNddcA8A555zDs88+y5w5cwBoaGhg8eLFeR1rb8GXEHz46GU4hKCXV/TzSHzkA6NGjeKoo44C4Oyzz2bJkiW8/vrrHHbYYUydOpXXXnuNVatWJdvPmzevv4baZfgSgg8fvYzEjh0ABAYN6ueR7DvIZSXfW0h37RRC8KMf/Yhly5YxatQorrvuupRYgOLi4r4eYrfhSwg+fPQytl9/AwCBqpwyEPvYw7F582beeecdAB599FGOPvpoQNUdiEQiPPHEE/05vB7BlxB8+OhFxDZsANu7ROh6P4/GRz4wefJk5s+fzw9/+EMmTZrEpZdeyu7du5k6dSpjx45l1qxZ/T3EbsMnBB8+ehGpwWiy38bhIz8YO3Ysq1evbrf9pptu4qabbmq3fdGiRX0wqvzBJwQfPnoBrcuWYTY3I2Px5DbHFdGHjz0Vvg3Bh49ewBdnn0P1pT/CijT391B8+MgZPiH48NGLMJtsQhDC1xj52OPhE4IPH3mGFXfVRPFNm0AItOJi8FVGPvZw+ITgw0eekaipSX5u+Mc/CB9yCOi6Twg+9njkRAhCiBOEEGuEEOuFEFdm2F8ghHjc3v+uEGJs2v7RQoiIEOJnufbpw8feikR1Tcr3ggMPQIBPCD72eHRKCEIIHfgzcCJwMHCmEOLgtGbfB3ZLKScCtwO/S9t/O/BCF/v04WOvhNXWmvJdr6hQNgTfiLDX484772Ty5MmcddZZ/T2UXkEubqdfAdZLKTcACCEeA04BvM64pwDX2Z+fAO4SQggppRRCnApsAFq62KcPH3sn0ub9wIABIITvdroP4O677+aFF17ods3iPR25qIxGAFs836vtbRnbSCkNoBEYKIQoBn4BXN+NPn342DshrZSvSQnBJ4S9GpdccgkbNmzg5JNP5g9/+AOnnnoq06ZN4/DDD2flypUA1NfXZ9y+tyAXCSFTkc70Jztbm+uB26WUkbSEULn0qRoKcTFwMcDo0aM7HawPH/0OK5UQimbN8t1O840XroTtH+e3z6FT4cRbsu6+5557ePHFF3n99de5/vrrmTFjBgsWLOC1117j3HPPZcWKFVx77bUZt+8tyIUQqoFRnu8jga1Z2lQLIQJAOVAPHAbMFUL8HqgALCFEFPgghz4BkFL+BfgLwMyZM/1Xyscej3TVUGjMGF9C2MewZMkSnnzySQCOP/546urqaGxszLq9fC8pjpQLIbwPTBJCjANqgO8B/5HWZiFwHvAOMBd4Taq34hingRDiOiAipbzLJo3O+vThY++ElWHiF+y1hBCvriG2fh2ls2f391BcdLCS7wtksgeJLHai9HTZezI6tSHYNoHLgJeAT4F/SClXCSFuEEKcbDe7H2UzWA/8BOjQjTRbn92/DB8+9iS4k4JWUgKAYO/1Mtpw0klUX3Jpfw9jj8Kxxx7LI488AqgEdlVVVZSVlWXdvrcgp+R2UsrngefTtl3j+RwFzuikj+s669OHj3wgZsaoa6tjeMnw/hmAbUMYt/BpQo7day/2MpKeYi8+FK677jouuOACpk2bRlFREfPnz+9w+94CP9upj30OcxfOZVPTJj4+L89GxxzhTPxaYSFaOKw27kVqAx/ZsWnTpuTnp59+ut3+ysrKjNv3FvipK3zsc9jUtAnox3TTjg1BpL1ee6mE4GP/gU8IPvodnzd8ziWvXMLnDZ932G5T4yYMy8i53zs/vJPVdf0Q62jHIaQIBb7bqY+9AD4h+Oh3vFH9Bm/VvMXT67OL2ttbtjNnwRzuWH5Hzv3e9/F9nPncmfkYYtfgSAKa5/Xy3U597AXwCcFHv2HFzhVsadqSXPVr6SoWD1bVKSe0B1c9yPrd63M+h5UWNdwXkE5gmldE2IvdTn3sP/AJwUe/IGElOOeFc/jec9/DlCYAupa9CH1dW13y8/KdyzvsNx2XvnJpl1RNPYYz73sITuBLCD72fPiE4KNfsGKnCudvije5hCCyE4J3Qg9qwaxtrlh8RbvtS2qWMOPhGbyz9Z2eDDl3OFJJug3BNyL42MPhE4KPfsGHOz8EYEjRkKRaR2RMcaWwZkdD8nMmKQCUcfqVza9k7eP5jX0T9uKojESaDWFvjUPwobBp0yamTJmSt/4efPBBBg0axPTp0zn44IP561//ygMPPMD06dOZPn06oVCIqVOnMn36dK688sqU9s7f6tX5dZrw4xB89AsaYmqCj5rR5OrfkRQyYfG6HRBSn7MRQkcSBkDU6KMAq6xG5b45vY89E4ZhEAikTrnz5s3jrrvuYufOnRxyyCF88sknXHDBBQCMHTuW119/naqqKkARiNO+t+BLCD76HFJKNjdtBtQk7UzwHRmANeHuS5iZCUF2MuNGzT4ihGQcgteo7NsQ9gUYhsF5553HtGnTmDt3Lq2tqhjSDTfcwKxZs5gyZQoXX3xxUhqcPXs2V199Nccddxx33JHdQ27w4MFMmDCBL774ok+uIxt8CaGPYezejV5RsVclvMo37lh+B4urFwMQN+PETVWU3pDZDb/CQwjZ2sWMeLttP5v5M25bdhvQ9xKC8L2Meg2/e+93fFb/WV77PKjyIH7xlV902GbNmjXcf//9HHXUUVx44YXcfffd/OxnP+Oyyy7jmmtUNp9zzjmHZ599ljlz5gDQ0NDA4sWLO+x3w4YNbNiwgYkTJ3bY7vHHH2fJkiXJ7++88w6FhYW5XF5O8CWEPkSipoZ1RxxJ/f339/dQ+hXvbX8v+VkiaTPaADCt7CojTXMn02wSwtqdu9ttS+w+PPl56balvLjxxS6Pt8uQ7d1OfS+jfQOjRo3iqKOOAuDss89OTs6vv/46hx12GFOnTuW1115j1So3V+e8efOy9vf4448zffp0zjzzTO69914qKys7PP+8efNYsWJF8i+fZAC+hNCniNeo4uuRRYsZeNFF/Tya/kO6dNSaUGL321vf5rP6zzio8qAMx5hIqaMLSWL9KzDdk31TSti0JKOEcOerm2Cs+/0Xb/6CE8adkI/LyAqZzYaQJyNCY6wRgPKCvSPHfm+gs5V8byH92RVCEI1G+dGPfsSyZcsYNWoU1113HVFPQsDi4uKs/fW2TaCr8CWEvoSVYaLYByGl5MWNL2ZV0cSMGF8d9VWumKVcRFsSqtz2+ob1nPFMlqS5wgKpEbJMEjXLINrk7ls+n8T8kzBrFrnn2PVV7vn6PUTjqXaJ8lAfTKLZbAh5wtGPHc3Rjx2dt/585I7NmzfzzjvKffnRRx/l6KOPTk7+VVVVRCIRnnjiif4cYo+wb89Mexoclcg+TggvffESP3/j5zy8+uGM+2NmjLAeJqQpt6EWo6XTPjVNEUIASAgBdW60sty5hsuHDOJ3tQsAaNs6l3jttzhs6BHEzVRCOH708d28qi4gmcsolQTy7XY6519z8tqfj84xefJk5s+fz7Rp06ivr+fSSy+loqKCH/zgB0ydOpVTTz2VWbNm9dr5HRWT8/f222/ntX9fZdSHkPbKUezjhLBs+zIAQnoo4/6oGSWkhwjqKsCstrW20z4FFkidgNAwBNC4BUZ8GYCrGj/grSJXl2q1qRoEL67a3q6XbEFteUUfuZ06WV37ClLK/doZYuzYsVn9/m+66SZuuummdtsXLVqUtb/zzz+f888/P+t+b6rtXNrnA/v2zGRDxuPU3vknrJbOV6K9OxB7tbqPE0J9tB7IruOOGTHCgXByct7Wsi1lf3qcwZKaJVRbryACrWhoLC4qxGpyJ/vnYqnHS6niEdbtiKRs1wn1SW4j2Ytup/0a3OYbxfd57Nszk42GJ59k1913U9ff3j1O0jNt315lNcWVfj998jUtk7OfuIXdsd0U6AVJCSEdzfHmlO9PrXsq+bleM9keCPDUjg5EZakE33vfSE2nrYuCDoPf8oaMEgJ5mVAdg7J7Kn+S9pE/7BeEYNSrFas0+mAy6ADJlAYdZPXcF9AUU4SQnlDuve3v8VGLqjerCz1pQ0hHOiFkikzebUshmXA5LwKSaELdb2mqqmUagT4iBCcVhwuRJwkhXU3UWTBeXuGTzz6PfXtmsuHUhNUKw/08kH3fy2hn604+rf8USE1F0Wa0cfG/L05+39K8Jas+/4FPHlAf1r0CiTYisVi7NmWmIputDa3t9v0k8DSFqGPGVRXTsvE/aav+DwRa36TDbrM9oOz4CoX8uJ1ubt6c8r1P03v7hLDPY9+dmTxwJAOZ6MMUyJnGYe77XkaPr3k8+dkbaPbSppeSn2O1X+O0cRfx6uo6MuHJdU9C0zZ45HTq/3IKSze0NzoXJ1TMwX0fPJPcNi02ngXVWwEIon7r70wdhkxUYjRPQwitTyQE+flr6sNn7tjyldwuEld2kbMnn63O1ZeTtE8I+zz23ZnJA2moycGo7dybpVexH3gZLd+xnLFlY4FUCSEccKWz+K5vcM49m3jo7W3phyeRsO0QlbXvgnD7uWRrEQDSXn3rnnv5rdgUJtikX2ATQkWRK4UINCyrD1bUyXoI6UblnnfdaiiJqCRUAoCFLyH4yB/23ZnJAxlXq8nIW0s6adnbA9m3vYwMy2Bl7UrGFE8DIJpwdf+FeoYQe6u9Cu/cg88FoD7qpqEQHkIYa3eZSChCKA6WJPeVBtwJuECohocMdz2dBH0jIZB0Msq/l1Gb0YZAENbVveuPinD7M+68804mT57MWWed1aN+Fi1aRHl5OTNmzGDy5Mlcf/31vPTSS8n4gpKSEg488ECmT5/Oueeem2zvjUF45ZXsqd67i/0iDkHaOmirpb2+uU+xj3sZNcQaiFtxNm5Tofrra91o4kwTscxACAcMOACAutZdDHE2egihyF4RG3YUtFdCKNTddgXE0TXBERMGJrf1lQ1BqXHSJv88EIKUkm2RbRQFi5LlRvtSZSShg4oV+wfuvvtuXnjhBcaNG9fjvo455hieffZZWlpamD59OieddBIrVqjCUbNnz+a2225j5syZgCIQp31vYt9cqqbBkRBIZE6K1mfjcFRGfeBlVPOzn1Pz8/bVw3oTTvxBS0RN9HHTtdnELfUbxHacyLe096iiEWm6UoO0lGpnRMkIwHVdXVEQQi+sSbYrRE36jueREOqentwcoVBzCeHh04ex/FffSBlfn0kI6mTtv/dw8n53+7s8s+EZWhItLiHkqId6at1T7GjZ0aPz7+8qo0suuYQNGzZw8sknc/vtt1NfX8+pp57KtGnTOPzww1m5ciVA1u3ZUFxczKGHHsrnn3/eYbu+wP4hIdgGSCsWQxoGItBPl91HKiNpmjTZK4nhv7kJEcrs3plvPLxUPfgXNv6d3xeLFLdTJ8V1QfNE7g39nBXWeE6N35jc37L+Cn5wzHhKbRKJJJTxdHm4IOUchbZtwEi6dqr/pzW3YBS5q//hz54NpY/DgW4iu75TGbWfOPOR7XR7ixuM51SXy0Xi2dGyg2vfvpZpg6bxyLcf6f4A9iBC2H7zzcQ+zW/664LJBzH06quz7r/nnnt48cUXk0VrLr/8cmbMmMGCBQt47bXXOPfcc1mxYgXXXnttxu3ZUFdXx9KlS/n1r3/d4fjefPNNpk+fnvz+5JNPMmHChK5faAfYLyQEy3FbNE0+mzK1HwfSNyojs9710Td2N3TQMr9Y8OFHABwtNyIQKV5GDW1KXTe0UD1y07UNCCTh2KEcVvpDpFlKSJRT+tg5gBuLUGKlTkJFtvooIQ2QEmFLDDqSwtVb2L2+yG1c/X7KsX1pQ2iX4SEPKR+86iFHQsiFEJzqdE5W2R4MoGfH72NYsmQJ55yjntfjjz+euro6Ghsbs25Px5tvvsmMGTP45je/yZVXXskhhxzS4fmOOeaYlNTX+SYD2F8khHj/qoocSLNvAtOSKjLAbNhNcMjgXjuXFYthtbQQqKwkGKwjAQw3TALSSpl8tzaqFf/Xx5XBGrXtmnFr+XvdGYwfOR7YQMKyKI3UQtUommwJodTjFXTf1p0MMwEGk0CCZWDaqiNdQuDZlWynggET7YnvzdtgxlmMqCikpqEN+tLLKMP839MgspipFjZPn/o072xVGTdzsSE45FoczJ6GeW9DRyv5vkKmey+yuBdnygHVFzaBriKnmUkIcYIQYo0QYr0Q4soM+wuEEI/b+98VQoy1t39FCLHC/vtICPFdzzGbhBAf2/uW5euCMkFmCGzqFzirOb3j2r89Po3HVhL95JNePVfNT3/KuiOPwqirQw/VU2mahKUkhEVp06dQ9zls+4i2hDICjylxr/2CbTfw79h/kLDjRExTUiwlQkqal6k0I2HPy3VYLEoJUYSUGAgwYpj2JKllm2wfOoV//fhIACxL7NVGZYcQBhcOdlVGObidOukuHFfVlD43bqTxmWfabc8IX0JIwbHHHssjjygV3KJFi6iqqqKsrCzr9r0BnUoIQggd+DPwDaAaeF8IsVBK6U37931gt5RyohDie8DvgHnAJ8BMKaUhhBgGfCSEeEbKZA3Er0opd+XzgjLBu2LuT8g+UhlZnuvd9stfoRUVUXbiib1yrpa3VE6hlneWUlFkEralIF1CMLYL/qQykkaPUeUFhxe0n8CCcTVhGZZEQ6mJmm07i9P62l1uEJuOUBlPjRimbZvQss1VDZsZXBqmqiREfYtBU18tDjKpjHo4nzr1JQoCBTl7Gf3907/zyS61KCgJtieEjd89DRmNUj4nh1TaPiGk4LrrruOCCy5g2rRpFBUVMX/+/A639xTpNoRf/epXzJ07Ny99O8hFZfQVYL2UcgOAEOIx4BTASwinANfZn58A7hJCCCmlV2kZJu8JgHODjO8hEkIfeRkZ21PTPrd9tLLXCCFQWUmipgZjVy26SKDbk0YAScyTqyhqxJFSMDjUnhBK2mqAYgybMMssi4hNmo7SaVrUJTlNChJCIOOtTHx6EeWTJFpMdLhW3hWJU1gpqN7dBxlvLdleY5QnCUEXOkEtmLOX0W/f+23ycyZCcNK6yHi8U+cDnw9SU1JXVlby9NNPt2uTbbsXs2fPZvbs2Vn3e9Nmm01NHDl+PA11db3uEJPLzDQC2OL5Xm1vy9jGXv03AgMBhBCHCSFWAR8Dl3ikAwm8LIT4QAhxMVkghLhYCLFMCLGstpuRxpUXXEhJBze/z9BHXkZbLv5h2nl78U0OKBWQ1dSMlAkCEmRRFbqEuCdXUdw0QOoMLGhvz5la9wKVNGHahFlqWTQ5EoKte9U9E5+QGgkhiK76hANeXMpvHzTRtrvnane5Tg1mqTnDzT/WvwqtnoR7veB2GjWjyYhvRyfdkQosXXrQRfaLt9rasu7z9JhDGx/5htnQgNXa2uuqZsiNEDLpN9KfjKxtpJTvSikPAWYBVwkhnGiko6SUXwZOBH4shDg208mllH+RUs6UUs4cNGhQDsNtj4rTvkvpN7/ZrWPzib5QGWVSISS2ZU8R0ePz2QZ7s6kJpIGOJHHqX9CQeDNHqZgEjZBoP76vNjzF/NAtPPqeWneUWlZSZeT0oXsOE1aQViEQtp6oqhmMN9yIZGmm3d/WemaMrkA97r1gQ4g1w99Og0fPVOe32l9jPtxOo0aUAl254Wp07GWUMBOs3b02ZZshs+fyyo0QfPQ1pGVhNkfQy8r6pDhRLoRQDYzyfB8JbM3WRggRAMqBlPzEUspPgRZgiv19q/1/J/AvlGqq1yCCfVApqzPkycuoI72xzBB81/zyyynfm154gXhaNaZuj8VWOTS9+CJSmsxaKTCbLAISLI+XUcI0QGoEyez2OVGoRypGiBIPIVhCcORqC9GoVkefWqPRzDC7dR0SmWs2W4b94pxpJ9rbuJhHLjoMpIbsDUJwxlH7qbsto9tpzwihJdFCUUC51ToqozveWIxhtr+m6965jrnPpOqXE2YGbztH0mjNgRD2AJ3R/lb/QRoGSAsRzi1Tc0/vTy4z0/vAJCHEOCFECPgesDCtzULgPPvzXOA1KaW0jwkACCHGAAcCm4QQxUKIUnt7MfBNlAG617BHEEIeVEY1V1zBZ5MPJpYtqtFDCAPOPjv52Wtorvnvn7BhzsndHoMXToyHuWsXEze38p1XNGquuBkdielZkSZMAyk1glpmQoihfp9PrdGEpSTmsSH819MWrc+oFBTLrUloZhHbAzpmS3PGvpKEMHiy+v/UDygKBQgFAhlX1IZlcMYzZ3DhSxd274VK+vfb55UgMngZ9eRlNSyD5zc+T2moNGX7sztv4pbFC9q1X/h5+ivavj4FuO+F1ZpDjEI/T8bhcJi6urr9ixScGio5qIuklNTV1RHOkTwyoVMLhe0hdBnwEqAD/yelXCWEuAFYJqVcCNwPPCyEWI+SDL5nH340cKUQIoGS1X8kpdwlhBgP/MsWgQLA36WUL3b7KnKB3v8xePlQGTUtVC6CjQsWMPinP21/DsN96SvOOIPwwQfO00BHAAAgAElEQVSz7eqrMbZvJzR6dPJlyiRJdBXRtWuRra2UfftEmv79CicuVbEDia3bGZMw+DjgegYlLKUyCjhSw1lPwiOnJ/fHbULQMQg6bqUk7fBJHPflg7l9x7usC4V4fuVKJW6mIUkIFaq2MiUqK5JAkHD8HIw4LP0zHP5jVtZ9wmf1Kuq1JlLDyNKRXbsRaQFfMlMcQg+9jGY8PAMgWWtC80iZO9q2tGtfGCikzc4IG932XaZM/jhjoSERCCDjcWTbnk8II0eOpLq6mu7aEvdGyHgcY9cu9EQCLYeJPhwOM3JkF59fD3IyWUspnweeT9t2jedzFDgjw3EPAw9n2L4B+FJXB9sT6MV7QFBOHryMio88gpa330EUZH44vIQAEKhSK2ujrk4RQh7zOe38/a2AIobQmNFMXO9KLdOjcZYUxYgKQVhKTGkipI5wCGHkoXx03H18afFFqg+pCCGISRBI2BNqqNZ9RFt2hCgaPA59bQSKtrNu5+aOCUEIOOgkqN8IgBleRZu02Ni4kXGfPAOvXAdCZ/OQ0clj1+5e231CcHS8mSbOPGU7deAlBD3D81QaLE0SQqJhFi2xlSkSgkwkiG3cuFdJCMFgMC9J5fYmtCxdyuYfX8boh+ZTPGNGr5+v/5fNfYSiI46gcPp0At00TOcFeVAZOSt8K8uKzksI0kigFaoEctI2GuYzSE8rUvrsyrPPIb4+VYU10C4GdHdFORZg2hJC0uNHC9A25nj+anwbgE1yKKAK2wSkxLAn14kLXSLf/HoVxgHfIRE5UH0vzKw2swzP/Q2EkxN2QetXAXh9y+tgl/nk43+y7dnLk83rOyjNmRVx+7dos1N2S9krXkYAvzzsl6o7+/6M2SGZ99u/Y6alRvDWnwCN6vp4ioSw4/e3svHkU5LH+UblPRMOUWtFfbOg3W8IQQhBwaRJfVuDNg1OxTbRE99HO6o324rOWxWuYOxYRKGatC3b+GtFIt0/d/q5TJOCAw5gwPfmMfqB/0vZN7RZjfOBijKWFobtNBYaOKtULUhJQYDfGGex3JpIABOQTNC2ERg4iUQwswQUKK4kYlYBUBRJJbeiWbMAiGz1JMQLhsEO6CppPQWA2z+4nUajjQ3BAGxfSYOmU2C7yHaLEOzaDPXrimj85yO4qedc5MPLCOCI4UcArpfRaW9bVNQ20PL22ynt0suTSqmnSAitH6QmB/Aalbdccim7H3us3bn3K939HgAZj9P07HOAu/jqbew3hAColXk/PtNWRBlBtR6or5wynDKbV4ihVoHDb/09WnExWpGSEJwXfvMFF3b73O3GknCDmYoOP5xLflLC0iPV+CpXuhO6BAJmE0J6CSFAeWEQEDTLIgpFnOlCrfhDtWtJCB1Ov7/dOQO6IC6LKLEsfvBSqoF42I03ALB7bQlJB6dgUXLCDngks2O2LeSUkcMB+LQgyKBQOSXBkm4Sggp22/FBBVt/fZOaONMlgjy5DDqFcRyVUZsdS2a1pAbcJdIMyCFpkUi4bdIpy1lgWK2tRBYtYvt11+dlvD66j8ibb9L0vNLUa8U+IeQfAjfjaD/AbHZW5z2YHGxCyCbiOyojJ6LRURk5KqZ8uZuC0kM7hGBYEikkn35JTYIFnmwhESGY0LSUSiLwzl1qo6ZTbpe3jBFk2pAC/uNQOwnf8EMxLIMMNlCC0qIoEWWg6U62r35JoE+YgFbuxiJYJ/2v+hAIQ7QB3r4L3TMpO0fXaRofhsNUR3dRGChMpofoEtrSMsrKdh/sr91bjXhX5klVkH0pDiGYaZLf7rQFwxFiDSWrP+DTgybT+uGH7c6R0/PhSwh9Cq80Hxg4sIOW+cN+RQhC0/r1obaaHTfJ7o/BkRCyqowcG4JNCI7/suwFHbGMJ5JGyYRpIbGwghqFX/oSesR9tCKahgEMko0QtXXdQlASUmOME0SXCQYW2rPcgEkY0iC2czfpqLvm1zz53K8YaLj38ImjNYY8+TiBAQOoPP98NbYJdiCiEz388i/RM3h3rSpQM+qU4lHomt7l9NhSSmitS98IQro2I/t6u6uu9Kp6HEJwVEZRr4RgmcmYiIRlIs0QrZsuZkhZAQFg3CZ1/Y0LF7Ybi/M8bb3yquwD8QmhT2F57H19VcNlvyIEEP0rIdgqo568WEmVURbjsGunsCUEW/dotbZRe+ed3T5v5nO5hBA3LKSQ6EJDKytDJtzJN6JpmEKkpJ8A0OwJenBFKRgxwsKZ+GzJob6JdDTbmTkn1LvXb2pQoKtjCg5QJTitqL2/3jY8Fw7ISAg/HqqkkouGHYcudGX8jrbPXZ8Ja+rXMO2habzTsJZEm/sqNS7fQaDAUhO0gx64nTrV5gBCdn4oR2UUDdnuuS2t8M/z4TfKxdaSCaymaZht47n625MJSolud6MXF7uGcBuOCjK21o1uTuzoYYU1Hz2CjKkfbOBF3++zc+5fhKBlTZLc65CJBG0fLFefe7LSsiWAbO6j0rYhiICaIEUoBMEgVqSZXXf/b/fPm+lcHpVR3LCwhERHQyspxjIEz25R0cfbAzomEMhw2Z/deAIzJwwBM0GBQwgihGZJtt1wX9Zzj69xJ/dY0LUPCHvFn0xoeOLv1P9h0zMSgoNiBAEtgLFrLdwyOumq6kXDU/+i4V8Lkr/fks+eUP8jX7BzRWp643Blop2E0N2FgJP2WnUjUv/bXdb/3/9hrHDTWBeZu5mnvQHAl0ZWUNwqmfmJOkYrLobG6pRzWLH2qrLWpUtTN+zPEkKsGe77BuxUcSCWJfndi5+xo6kbKsYc4TzDVZde2mvnSMf+RQii/yQEMxJxDX89kRDs8WcjhNjadQCIoK0yEoLQ8OHEq2sytu8JZDzuSgimhYVEExp6SQlWQmOMYfClaIy/lZdRr+vtJASAcFBHCxSAGaPAroaGCFLlWaSvH9r+3MPthK63nq7RViDQNeW5pRUoDyMnpQbDvgQjVVYUXROMMjKvth54dR3RuMRssu/T7lRCMCMRtl19Nduuuordr77G2Cuf5cnVdohNS4xQaaoRt2JCaxohkPzdV9au5OHV7cJzssIpP3rhFNchQIvGOOdVk9I2956uWzCUHcsVMZkIwhiMqChkaHmY414JUNVgk0jrVtJzw6bHrwDtXbT3Z0LYsBiq34NXlLF92Re7+d9Fn3Plkx3XS+4JnLT9oqCgk5b5w35FCELLb3BQV5Ciw+/JEDqQEJpeepnt114LpOocg2NGk9i8OaWt1wDbHUTXrMHYvj2DykhHKyrGslVGJ7Qo1UStHkSXENlWkFrmEkAPgZkghLqmldVtFNjzU81BiaSe3IuKnerRrR6YtmK2A/asWAyjvp6an/2caK0JloGuCQqNyRmvp1iaNLSamMlYkVSdbaLGTd+1e+Ez6MVr2WJfeyhhgJ7q5qkFrBRCEB4J4aznz+L37/8+52I9DiFMrJiY3Fb4xN+Z855kznueh0kK6teW8MYXi2jWNQIS/v2TYwnpGuE2j3S049P2UqrR3nbiqCeT3/dTQkiYCc5ZfQ+LCgtxXt64oX67eIY8UvmCFYuBpvVpDfj9ihD604aQ1Gn3EEkbQoaiP9FPPk5+9j5EgUGDMHal1iGympvdVBrdwMZTTsVqaUmqjGo2rUMTJgVGDK2kBMvQkBZU2eNt0wTDdsCWxQPZvqwidUUaCIEZx0yoe/RxTRshm+92jDeRGZ7Sgga1MR5MdaFMqoxicbbfcCNNzz7LxvnbwDIJaAIpM6uNyhI6rXGJ6bB1GiE491srLSW+fDmBUm85EIPI1sKU9pouU20IGeIQcnVxdQghpLvM2JEX69XPXQaolOFFoQCaJjBD7rmlVthuLJkkBG9Mi9qQ03D3Oexq28WKyBdcPnRQ8r5Z9n+tFzOQyli8T6UD2N8IQbRLOdZnkFGvhJAHo3IGCUF6V3kBd8UaqKzE2LkztbFltSuk0x04EsInT/+BmBCEjVZC41V6gWdrDyNoX2uLBuc86k6ysXXr3E70EBgxxg1QfQ0pL+XITxVZJXSwMrxzWsJOj63DYYO/7G53vKpiUawmj97JlhCMDJ19vaWVYglIDSPLql0m1KQcGDQI2daGHnZ18MGmONG09DpaILuXUVWhCqzb0Zqb0TZmKaKsj3j6C2VfNVbY3ooBSdJ4bHgIYVujkbIwEsFgZkIw9oxa5P2NNtProdeXhBBD66RoUb6xfxFCH7qdbr/pN3x60ORkxKcTKQz0bAwdEYLpvtTe7K56xYDk59D48QyxC5SvP/5rXT5948KFfHqQq3ZxJAQLi4QQFEmL8OSD1VBbNAJ2jeT0a2776CP3ix4CJIVS3aNQqDCpCkkEySghOEjocNvxd7jjsVdUymXP87JWv8fDW76J9BBCiT0ptgpBSKj03KZdfxgzVQJz6j7oZWUQi1IaqOWU5gi6lJRtzZQ0TsLW5Wypb2VXJJbiZTS8WAXEbW7a3O64jNdop/v41b8+czcWZI92d+wKOhLiym4VL3Lv//qa+mQtCQBRVIQ0ErS8915qR4ZB82uvezZ0/bltM9qYOn8qj3z6SJeP3VPg5IQCYN3LxNavR6xS0nhvVsO14jFfQuhV9FFgmjRNdv/tbwDJiE/pJYQ8xCFkNCp7VnmhsWOSn/UBLiEMvOgiAkOGdPv8df/3QOoG+4Uw7bTWRZZMGrQTVoBgAh6/xeQ776des1Hn8d13VCFxtbRtNdzJzghIrA6e0odPfozyAtceklRh/ef/R2xje08hr4Qw0Z7kdwZ0QiSQaJjJC0q9v46EoJWXIQyDA7dEqTJNwlISam7/TAkN+ORJzrv1EWb/7mWIbE9KDMOKVXmRdbvXtTsuE5JeRtKVCkQHEkKhzWVBSTKK2lEZGRrUhmtTjMoCiLzyKpvPVRnsS084QZ3OMKj5r//y3ISuP7cNURW09+CqB7t87J6CtoRLCAlgw0lzGHy1Usv1poTQtuwDtJL2ZU97E/sVIfRVYFq6MQ5SJYTecjt1tg29/vqktw24enUAvbwMvay03bG5InzwwanfDzgAdqxmXvDfABRKKymdGJZGyA5Q+8byNK8WL0E6hBCzCSHhPpYtQa3DuO5Jgw5K+e5NEWzYleICJa60NDu6OPl5gkMIuk4IA00KnESp7SUE9V0vU+Rz1eMWQ+slBVJSEMlACHY/A2nie9YLsOMTaFE2g8VrFBnujrUPvMsEx4YgLQ8hdDARhZ14A6Qq7QnolsDQIFIIUS2K6YkTSU+Ml0yImEik2qq68dw6ZKbtxVONV0Jo3Oo+XyJUiyV6z+00sXUrRTNnwtL/hVsnJaW93sTe+yt1Cz0rUpIz0vSxUsrUVBN5sCFY0Sj18+enEk3CIDh8OAPm/b+UY1LUR2VlaKWpPvNdgofsqn78YyrmzoV3/kyrLTsXWTJp0A7JBIFWtT2eVp/IavO8SAFXQjBEkLaEe38iOmhpZTeTxeAzeGBkErEtw52wf97qqpeGGwbHt7Tyx527+H7gBQJSeiSEbITg3rtCAwotSWm9O76hpw9n4/FuyfFS0UqlsAMSDTU5NkdVX5F4bokGk4FpXgmhA0G3shlKW6WyITz3E9VeCiyhYjbCCbAS2V99rVBNerV//nPqjm48ty2GmsT6ovxjb8EhBN2URL5wnQdKJvyBteQ32NOBlBIZjxMoL4YXr4SWnRAo7PzAHmL/IoS+khBstVRojFLbJGpqkjrofPWNYbDjt7ew849/dPclEhBsr0oQHgOzVlaeIiFkMiZ2BLPZrVJmRdsgshNW/I02+4UvlC4hDAtDwC59qXsmsMCQIepYB0kJoRlLC9LQ6pLOp4UDWXSMq/IC0Csq7AFkWJmH2hOCTLjtvA98AMkdO3dxmO0BFkCSLMdspBGCLX3p5S4hhBMwptZimB0kpxdqFI8L0TbQXUUOFE1EZciWGOxnzya4SKJzQmgz2qhvs72RvITQgdrxrEUW999hUuHxctItsDRoKYCiGJgJQdmYVkYc1d7TSYTVxGNs7Xkt7lY79bjWw7Kx/YmdzcqB4LxXLNpsQthZpN6hJj7LelyP4OQkwzNv9CBtfq7Ye3+l7iCDDaEx1ph/qcH+MQunqxpA0Y8/TnVBzEMcgoPYp+4D6U0l4UWqgbkcrdQlhK6mwzbr6wkMH4YoKKDi1FNh4X8C8LqdIqPQclVGB44di75NfR5le71WXXIxWjiMbMugMopHEIECkBpbK2Hdl0ezujLKh8Nh7D//mWzeUSpgLZyBEExJJueh3VY5r5nTk99zkRA0j4RQtkXnhCWq/YTffo9JPzkQK96K7qkbXUkzBooUTcskEo8QRPXVkuhcBXDRyxdxw1KVxVV6CMH7yDYNNThoXnqZczgx4qanCFgSU4PWsKCsRSINjVCpQdmo9iqPrJW5uiMh2Neoix6kfO9nvFvzFpolOWG5e/2FMn91RTIhGZTWx6V/9ytCSLchLN22lKMfO5q/fvzXvJ7HWcUXTJ6MCIVoW/lxqktoT1VGHjVJ1JN7RhpGijTgIF1lpHsJIUNOJGmaGWMUzEgLbStXUv6dkzjooxWYY8ZRV69m+l12idJD4nGwzyeHTmdVIrXClQgXkti5k6bnnnNtLR4bggiEAEHAhAZTGSRbjUjSUA0elVEGZAviadjYnkS2y4FcmLgi+T2IzGpDsNJsCAAVHxZy0OeCliJJ/bjx/CZSy4bt9QQxWGeNwNLDjBHbuSL4OABrEo0c8egRUL4KgOZ45prQXqys9UTCOoSw9iUCn7ppKoxQ5rgE750IWRJLKAlhkr3wDxRm1juJwizV+Lrx2KaT3iOfPsLqutVZWu85MHbtYs2hM2lbtYrqpgYmpAlLwnMzekMNHXlziTpPH/PofkUI6cFB721TbnbPb3g+2wHdgqOG0cJhwpMn07ZyZZqE0IM0yKZJaISro7Y8BsGsEkLI3SbCYUQgwLCbb7aPaa8y+uyQKVT/6MfttlvNTWBZBEcrL5k7X13PhzvU8W2axqhEgrKhM5KTskwYxK0ga0Z4OtH1ZNR2YotdC9grIehKQtAtFWMAMHfCBSlFxjsihGzY/n5Fu2162s8QIruEQAaVkQNDh4s+/zuPFzXQHIgTwiBOgES4kuP1Fe64046LdNFImDQqv/CLFCHTKOjgeRo4CSyLQlNJCC2euT5QmDmzq1aYTQLr+nObNIjbx97y3i3Me3Zel/vpa7S89RZWSwv18x9iU30D8bR1hpcQzM9fgQ//5u5c/HuV6qIHcLy7dkb6tpLd/kUI9jLKYfSNjcotsSnePqtmj+CsrnWd8LRpRFetSvMK6h4hOOmzS44/PuN+aSRSVtIOvCSRTPHgrOIT7SOeASKLFtEcTfDaZ27wlGPAdjyYDNMihCKEViEgVAXnLVSSmKYhjQSTq4oxdIg4afw9EozZZN/3gK3miUXQggWARsCEmDCxEuWce9APU6SifInRbTLVSBcWlmtDyCohZCAEDb6IKD2zEIZNCEGq48UMQkk5hnAT0TmIJDqXEAYXDna/OBJCuIxWj04+EZLEBCz4QRs1M1yJr+HzIiKfbIZEKwWWct9t8Hgxhgdkfg61LBJCdxYyDiEYloFpZSagPRK2vv69DbtAb0uxgQFolnsvjEfOgKc9C6jXfwMPnZyXYSxYYQdAlnTfVbwr2L8IwYkisR9sJ1K0tq02GfyTDzjqIaHphA86EBmNEt/0hadBN/Pi71LuiuGDM+fjkc11iOqlsPndlO2Z7Qr25JJmk2h8xlVF/PQfH3Hhg8t4/TMV5ewm21ITxvCKQsJCbWvTBMGSkVBQ6p7TMNBNE0MTyXxEQtcZctWVANTeYXtoOHmA4s0IPURFYQG6BXGRQFoFBHWRogrqjoSQCS+bs1K+m3qUL4JBRW5pFcdcG0L7HFCesAmkZvDKgFZWhgWbo0XoNgtkirZuSbR0qm4YUarEq0TzwSDt+6QFaPFERJlBeK2oiL9XlfLMUJfktr1fwZbFA2Hp/1JgSwhO7ie9wCRYmPmZDwwdmrcKb04dZ8MyUrK27vlQ178juhYj1Ewgjcs0z++WfFJ6QXUUdHr/f7knQ+wJ9i9CcB5yewXvTR3w0Du/gUW/y8957JWQCOiExikdenxT+yCprsKsV4SgV1ambE9OKhE7AnXjGyn7M+nVXbWOOymYzc1s/bmrU1+/UxmcL3jwfdXWkRBsw21QF1Rgxw4IjSEl7upZBALIRALNtDB0tYoGRUSOhNPy1ltqozcOIRBiaFmhkhA0A6wQIV3rEiGIoiIKDjywwzYACVQ/l8UvB2BrofK4eaOoEJyo75haxct4AnQ9Y/nThO5OngVaKwsGxrltRIx63PshhdZOQpBIWnd8TEewpMWUyplEq88lOUnJCg5tS60H4cxXTZm0Pa27KDSVhLCtUvVhxjUYOiXjOYPDh2e2xXRHQrBdZk1pEjVdA3a/SAu71kE0R22APVcEgvY7lyYhCI+XguHMK70QJ1DglA0M9E3E8n5FCMJx27If7OZ4M6dNOg2Azz56CBbdnBeWTxqQNT3pEWN6at521whl1KkJK72cnrN6lYapImS1VEtUR55HXrfTRHVqjnzDKxabFpsvVKmjHQkhYUoGCJsQNEFR0J2NFCEYaKahCEHYY9B1giNHqutw0ivr9sNuJUAvoLI4TMAEQ5dIK0RQ11KuKTR6NAAj/viHdtcFcOCy9xn72KMZ96XAzonheAE5KLUsJSGsfxV+OxLzk5dpfOopRDCYUZ3inegbPOPcJV1CsLAyBthF/vbdDodoSatd7o7nNwcIe54hS8ASu3Z2LJM27d171Bg1jd2OykgKOFMZu/VSdU1Db7yBoiMOJzRiRJL4Cg48kGE33Wgf0/Xn1pG8TcskZrgk5gTlPbTqIS5/7fIu99st3DUT5p+UU1NhS2DObxYwU6/dSxBJR4TW1ASS3YGUktq73PiPkFTv5wdb+8aWsF8RgvPzSimRUhIzY1QVVvHlwV/mxZJiPgsFoTs1ddPhkRAcv3inIhWBQLfdTo069cClSwiNC55GSkm0ukG9s2nqjow6d0dC8BCC2ZBaG9j0pPaNGVaynoMT+WyaVlJCaBMahd7AGTthmm5YxGNjiFtqzCIQRAhB+SmnuOPypo7WgxQGAgQsW6qwCggGNAID3WuuuuzHDP/DbZSeeGKm24TQtGTp0IJJEzO2URevHn/Tfg3OrVXG8qijMtqoDINbb/gDRm0tMhrN6JIZ9GheLh/q1hCo9xJCloppkVhD+40eqJKeqVQyRuyg2WP/aNM0nitRE3g0mFnVI6VgVNkIDhlxnruxWCXZG3/9XCa8+AIDzjiDMQ88gAiFkrEeJbNnuxJZDySEuBVPkRB2RxUh3LrsVhZtWdTlfruNbR913gaQ9rPvkL1DAFaFQazMRJcQEna8hh0VMufVHzJ1/lR6IvtEV61m1113Jb+HbAnhfxbllveqp9i/CMEjIRjSwJIWOxtNCoPqhz1jxLC8iH1Jd0pNR7MnT6dmrdD1bkshpiMhpBHC9muvpe4vynW2ZVtYGbU8cCZebxRvUkLwBMyZu1NTKQg72+WB9V/Qssl9IJ1JUSQiBIXJy+YMakNFDAi7AWQiGFTqKMMgblYmJQQRsAvZlJe5QW5ecThQQLHtUWTqAjM6LGlDGHXvPRQfdRR6eTnl3/lOh9GvQggOWr2KwVdckbWN8/gnbAlhlB3R3CaEklZsYo9tdz25RKE7ERcMUOcPZ7bL04wrMVm09zICVV6Uhi1ZR+iVEHRNwMY3OV5fQQnu5Lrak5okU+0IACSIQIhgQTH/OkIQvPGyZIrvQM2rhMaOTWke37QJgNDoUe2cMboCx4bQZrQR9Sy2ovlYePUiZNR+XyUMbxjNGQ1q4fPrUwvZfJB6Lr5W9HVASQjbdZ1NLSoWpLEHAWRaQeoPOFNfA0DE8Gsq5x/OG2lZSVH2sfe2Uah7Vraxzj0/OoXpkRCc7JttberF6gEhGPV16BUVGfW7MkMJxCTsF1rzTGaOt49XQjDSJIRQPMpB9V/wP2/8ibpTPaK2rRY57YNzAXieGcRlPMUjxrEhYBoYWoCEPfk4Y9dLy1RNBtNMkxAKCNvjNXSwEpUE7Res5LjjGH3/fa7qrxN01u7cww7gS6MqMG1CqLCzrUb1oCIDW9KScU8WWU3jz98cyp3fDzH4eEWA4Sz+CN5VvJXBy0g3JdH6INjJ0+5cfmdq3AFK1WLZNRyG6Y0ZVR7eEg+ZVEbSsh+5YIhwIMSjs3Vajj7RVcPVfKAis++aBWtfTjm27NvfJjOV5QbnPbOklRJ3ETWj/GPNP5LfO7IpXPbqZSz8fGG3xwB0+Z2zNqryoULCtJ0HMjKuxhfVLT63EwvO2KAyuBoI6nVPTW29B9OqnvpuHzxJqXFbrb4JSNivCMFrQ3AzSOqpqo4cJAQrFqPl7bez7nclBM0lhNZW0HX1anWTEKxIS9bsh446Z8ih7VUQenk5BQccwLDf3pzc5ngZed1OU6q6AaFElGvetbObesbsSBeVbZsAKDhEHVdVVOUeO3YsTc89h7VjB4amM7DcXi3bD7xjP2h5+23XqAygBymyCcHUIKipAi/dRcEBB2TcPqBZUhq3iccmhHJbvVFTEFbZTm1CsDyEsG5HM69OLqGlXKJXKEktZO8ul6neX82kEsLIOiiIq/tYZpqc/4pF2TPlrPvuBcQTUf768V85+/mzU/rYuKuZj7YoQ+gS/ZIOr3V4wiCWQULYvb4YaQmErhO2pbGmWGtqo6Ya2LVW5T6q/oDhR9RTdcG8lEVEZ6rOTY2b+GDHBynbHAkBYF2Dm921zWjjxqU3Jr971UleSClZXL2YXy75Zccn7ww5VqdLNm9R71FACgbQSsC2p5k6OD4EFc3qPU9IQWSbq0rsiYTgjVc66P9tVXU12MMkBCHECUKINUKI9UKIKzPsLxBCPG7vf1cIMdbe/hUhxAr77yMhxHdz7S3uiEUAACAASURBVLN3YIu+liTqGLhkMKUSVS6EsPPW29h84feJrs4ScZmUEAJJQpDRqFIXCUF3jQgyFkNkSM0AYNSqCi3FQ+KukdaGCAYZv/BpSr/61ZRtoCSEthUrSOzYmRpNDWjRJoJW6vI3NH48BeNTo4/XBzZRGirl6OFHJ7cNueqqJIl89ytjmDhJGZKdILnAUOVXveUHF9P47zfdzgIFSUIw9NQqYd1BcMgQSqaNoqAi9TruvcvkuN/+EQEYUhFCpaUmyftKCkiY8YwSwjduf4MS0UKh2Ype6K7apNSYVXhVyjkOPWBs8vOb5Up6GtKo7kmpJTmw2k5Jvauehu1KJZee8ydmmmR8TdMeoUrTZLBpEs0gIRijvgXlYxC6TmFQ3c+fLkodK8kUzwI+/iflY6IMOsYm+KRqruPnds6COZz/4vkp2+KeeI4XNr6Q/NwYS82w6uQ8Skc2ougyukgIOx9/BwAhNAaICNK01ZgahOxypCNeVoucD1cPoOzfpUyqUfenJ4TgzZTsfRQie4qEIITQgT8DJwIHA2cKIQ5Oa/Z9YLeUciJwO+D4b34CzJRSTgdOAO4VQgRy7DP/SP5QktaEetCkTLvR0Y6NfADxLerlTWzPXPEqRULwGnSThNA9qApKarJPD04zdipC0AIWmLFO6z4k1U6JBJu+dyYb556eUmAHoFJbSEki1Xe89BvfaNdXq5Xg2JHHUhF2o4ELxo9L6qVLigupuvACyk87jeLDDwfURO0g+tnnbmd6iEKHEDQI6T1fGQldS5nLCmPqS2HtLoaUFSQlhDLpSkjHNbzJnS1qRZtOlEPFLnRAb3N1/9IsoqIolbwmjRqa/PzBRKUuOWy9xcQaSZllpfi2R+rVs1SQTubCStUJZYAUqthPSMp2WWUBtIlHIivGga7TYLtdtolNqY28RWDsRYDUg6ri2nZbjdUDGwLAR7UfURJUEu7VS65OaddquIRQ3VzNTxf9lJgZyzkjbKfIoJK696N7k9kKskETGhfPrEDTlARgaCSLLOk2MQRqbanXPkWjnmXyfvg0uP+bHY/TnjuGHp26uTFqJes49yZyobKvAOullBuklHHgMeCUtDanAPPtz08AXxNCCCllq5TSmWXCuK9lLn3mHx4bQqsz0Vlpb9CuzouWOK6kjqE4HQ4hCD2AECIpJTjpF7rrduqtoDTif25n7D8eT+5rXbZMjc0WMTvzlnIIwZEszNpdySA1x52zMqEC0haNclUhurmb55ZvZNxVz/GePp65w4ZT3bYzVe3mtLXdY0UwSOH06Qy/+TdJFYQ34rfxhRchbAd86SGKbBWRqUNIz+RH2UVoWspcNu8N98W6puVDLvmqilkYYu3kAns90CwN/hrLbOy1hESXEq049ZrLwkHe+sI9pq1wePJzwp4jzlgENz9kKkLwvN8tO5WuOJ0Q1CujpRS0cbZ6PxdbkqCUSCH4r0tLKJ97OsNvvVXtj8XBNG2VkXp229WWjnueZVvvf/1za9n94DzE2/9jnyj7c2t5VuD//fp/u92acQKe+tTDS4aTCf9c809qIjWASm/x8hcvs3Tr0pzyPeUE2Z4Q7lpxF99/+ftpA7kA8zZPwkNLoEd3I4UiBFMn6WeqxTVu+6tBqc2lzi1tyCYhfP4qbHk3877kMNU4A8ItILUmGGRkZZBIrGuZibuDXAhhBOB9M6rtbRnb2ATQCAwEEEIcJoRYBXwMXGLvz6VP7OMvFkIsE0Isq62tzdQkZyS9UqSkJW5PmOk2hF1rOu3HyfVitWUmhKTKyDYuJQlB0yCL+2Eu8Bbd1kIhwlOnth9broRgSy47fnuL27+hEueFxo8HoNBOG/3JoNHJNvrH9zLs6XlICR+EDdaE1cse1tu7Y2rF6j5pRe3Jwptx1ayrgxJ7NR0oSGreDQ0KeqgyAsezy50ALU/at6b/+SNfH6ckGw2LKmNwu+PTIYUkCAiZqoY6aGgpZQMPYk6b6iNhr4brBx5KNJH6eAekJGS4D8LGTSrnUUF6AJItIYRInQy2Vh7uGQ8U2xICQFNVmOE33UT5nJPQiouxmpvspIg6vzruTACG6UemnsdRlbbuglY1GbWYGgO2eoIcOyCEh1Y9lPz8yuZXkp+jZpRJFZOS30eUpN6HL9v1sOevns8JT55A9PoKjG3qXmhCozmH9B45oQOjdWzdOlqWLlULtVVPEd/sxuOETAE7PkEG1TNiaqluxqN3qfoTAEVR9Zw1emyVy7YvY/GWxfxl5V9yG6czd9hd7NB15o4cxpdnLKayuPfrK+dCCJnk1fQnI2sbKeW7UspDgFnAVUKIcI59Yh//FynlTCnlzEGDBmVqkjuE+0O12RKClEEGmcqffbBhQG0OhGDr8VNSOHvH7Pjv2+oOZ1VsNjbahNADG4LHLU0IweTPPqX8FCVcBQpNV++Y6DiQRaT70wuBNA1EIJCUgIpitttlwH1MAmGLL4s16JgIzySVSUIQtheLnhZIB7SL+I2bdhs9SEC6BryCDNlbuwxNpKiQW5tnpuyObd7ufia19kK66rmcCBoGupRgRKk/cByPzFb3Z/aBg+HHS6mYrkxlXzt4EFy9jc+++TcSWurLLICQZ45a9LFSXUysSI2bCOoQDgaZc7C6P5uHfYs11khCsy50xyigSKrqbZCqZtPKyzAbm9Rvq+kEdA3dGIyZRmZJ77pEK3z2rPooc1fXPfpZ5kDAlkQLxcFi5oyfA8CBFanR0d8a+62U7xEhsCLq99CF3iUJIWEm+Po/v86pC05NkViApIQQj+hY8XiKlP75pT9m8/kXEHl9ES07Qmx6Wc0z0ZAkaAG7N1FUMAxQdq10r7Iip0KdZYAZTnoZbVn1Dy546QIue+0y/vThn3K6hqS62Z4hHy9Ti4q1jSuzHJFf5EII1cAoz/eRQHry9WQbIUQAKAdSKm9IKT8FWoApOfaZf3j8qSNxR84L8I93GzjJCqsV1u4vOujAPsTWz2cqlQkk0x44EoK3pnFXCCGy5C3qHnxQnSuRILpqFSIDlxYfeYTdt4RKtbrvTEIIDBxI4XRXNNZKSsBQagXtY5U3pSiurtPSJK2TpwEQLFLXXEIbmqdsV0ZCsKN6M0ZKp+lZv3jUnpT1AkK2R4ehQziQLwnB/R4wUsdj7Hb11KZMJSrLdO/3X6bM4aWCX2AJlNXhmJ+y9trLefoI9TsXhmzjdLG67tKwDqEiJg6vTKbucDB8q1CTjY0yU9kQzHa2H4sBRQUEhXqmtpbP4Fvx31OQlpFUkzIpIYQ9v4VeVk7jggVEP1oJTgyICGK0I4T2KR3SI7jlsgfguZ+2b2cZbG/dnrJtS5NSALQkWigJlnDmgP+fvfMOs6sq9/9n7XLq9GRm0gtpkNB7770pAtIExIbeS1Mvlt8FRCzotYtXxSvYULmAUkQQBAQUREoACRCQFNIzk0mmnb73Xr8/1trtnDOZSTIJepPv8+TJmX322XWt9fbvuxvzSiUeuXc5aRlanFOapsR+VzJEyDgrRt5VDuD+xfezNr+WRX2LWF+savzjeVQKBovu76T7298JYhtCSsQKda0P/3UhvYvU+7ezDqvHCmxXMrgqifOAWpAdE/6wd/2YzsSiRLgp+rWFsGJdPOlkJLNe6jarQuco/0+LcqWaxjbo9MjIBMJzwCwhxHQhRAI4F6hOCr4P8EsgzwIek1JK/RsLQAgxFZgDLB3hMUcfEXK757pUFkFSNLG0J4fteVSEiAfXhkCQuz9E4LbaQiCSNrkpaaer//M/6frKVykvX07vPfcAMPhELa1uYqbSKlMtDt4MVSxDJQ9Pfg2uryVj8zH1V78Mj7HT9KDXgvFX5XvOltR9ZESO2fu/wrRrziDZrO49RRlEKBBTVq3LKLv//urYE+t6A2NwBnRMxylg6+fjGJAeDWZTwwh95od9EstzyEWud+U1X4a0SiF1vPhCu1gX1HVeew13zzyCcWIDjhDIZBvsfRGtaU3mJ0JryW8G4+gspY7GFC0tcVfQTosFZkSfEHp99pMdfEgkhjBI6M5ZeU2BnTTji5InBLYeVgeMOyi89YglKHyLFQunKnuMQm3ntIrvWvNP9beb4bkf1+x304s31Wjkp9+r2D4Hy4P8Y02ZyX9/lNtXreVT3iP0dqv8kbtPv5tDJhwS+11RiKDSt+yWR6xZA1z39HXBZ78SOoB0KXQr5aLw3F/Ja5dxQ2S6P/LKKlZIC9HisNPJXRQSirJi+ZOhhVsx4eUZBsvGUoP9ByTCs8n5TKkv/yT2fWkkCSUbVBylelfJ1g8owwgEgvb5XwY8BLwO3CGlfFUIcYMQwud4vQUYI4R4C/gE4KeRHgq8LIR4Cbgb+Dcp5bqhjjmaN1YX+in3Dpa4WxeVzOucRLHiYQYCYQSMjJoQTg7hl5RVFkJmn4iLYhOyjJz1apK6vb2B+6UeUnPn8vCe+zH+gA14vi++2AePfVF9LtXXsoRhMPFbqgWn2dys6LNNE6EbBRy1QN3HmfYTNJZWkn4r5FgZn5HDCoSWc89l+r33ktlvv5rvACZ87WskZ2n/sj/eKwUsLWgdE6a2bUH/Zw3R1Klk8Lm/gmOuw5IeJdOGa8M8eE8ozdCV8fNd2q6yoaI9AlzA1u+jI6utvzoCwY0EMiePi9ePNAyCFWl07/ulczWuPg+BwYJlKsD/uwXKv29HZq4UMGCIYOEeH6FKjjY6CixWkcCV2s/x4T+p/9e9RTXcEZYpPb/2+ZptvjAcKOdY0u2SfFPpeweZr1HuOYKnznuKma0za6rNi0IEzLDzu+azbCCskH+le+NEgFH0FHviG6QX9JGWq15h8KsXcOU9LpmI/E2lF7BMJFjYYGFoQsZqDiN//jbUMcAtRyJkgiczab7R2sItVb0z8iOY+9J/5gJe80JFaluRAY7ojUspH5BSzpZSzpBSfklvu05KeZ/+XJRSni2lnCml3F9KuVhv/4WUcp6Uck8p5d5Syns2dsytjRW96i0e/937g22zdVzCch0qCOVqGUaDD5rKuENYCLpHr08C13H1f1TvMaLr9V0tXqEwZEEawJ0vrGDhTtOwkjImEKSf3fGHTw/526aTTiK99954/QP0P/CgEghV4zZn1GrpOzUDEa3lwHEH1uwjhCA1p35hGEDzaacGbUaDZ1IpkvA5hgyY2DL0fY8YTZ2QHgM7nwKA5TlUDJPUCSfRoGszup7VtBUyze0rV3OI5p7yi85EMhkYeo4Q+E9kXIPmaDIiAkELi6jW7FjVC1986vn0F2/1vR7zm0s8DGFwRVEFJcvUvguJkgX+ktGSDAP2MXrziIXg+vGfCXtBokEVpVUhTZVyNMSwTRiJIDgcRdktk3dytHmlqmMJEiJ0zd1y/C2cPessAErCCFxG1fGD8x84PxA09TCpYVLwubc6fdxzg7iyV4aB29/ikNclYwbCm0pm3iRZkRQ0H1TZBNOrf9NjCrVzv83zMHTW4k9bmpBCMK5wAYe2XAYQUpZ/cy68PURhq157FqZszpkRKoFunSyprYHtqlL5B08sBqBh2ncA8MptzOpoJEmZpFMMTbphrAQ/djCUheBnH/nZNUaUrlmIEaedBsVjhULAaDrx29+O7ZMrOXzqrr8HE87Jdurf9NLnajfFi7fx/p88S7ESv94Xl23gtVX9CMui8NJLeP39QRpqFL2iNj6wj3xN5cgDbak2JjdNrtlnJEhMVzEPy7cEnAIJ6RemiaCQaksgTAsZmdiW5+EaJknLIL27ytTy15lBUswrVzg5p97htLW6n0Gln8XJ8wFtIejVcXxjnFcKal1GQE0MoVDFYJoug1dRmSzdheg7UC6jI0zlw07pfsxRpeWYhmnc2Hk03baytqJ9BzIHhoLaj9tYRgLPjyEIAZk21nXVhvDaxMgCun2FdbQs+Qvf3S3eZa+70E3FK2NVFVVZOKzuC1Xs/cfvz2nZaYCyEPw7u+vNuwAYnx3PQeOVG8xPTa1Gxa2wYjDMDipUu36li3S1hRCZfjMioQ/TUwqAT/9RMQVmtYWg4cvzCQds4MW5MwCYOljBcOMCO7+2wh8XKPdV0NSof2W8oU70MjVzwIup+Lhfm19bGxfZCtg+BMJgN86SvyCryGQqfXsxuS3Dq8kP0FIpUjaEIjYbJiAb9BCooz303nMPub8onv9o2X/Le99LZt99Nymo7AsEZ/0GVl19NQDp3eJZGhVtpeTTXfygpQknowTCk3//By0irLp+/I0u5r8d96ue8f2nOfm7fx62A5lh1JL1XND7g4D295GzH6n5fqRoe78KPWXm6mB4pYCpBa1rQGZUgspGTFO2PAdHC4S2D6o89ERG3WOPbKK3bQ+ElByw0OPK+3RgfSDMknaEwNTaf9pWQndyMlx4fQshqtVVrPg7T1YR4qVL4ObUwhKt7pXCw4g01u0U+h1GDrdnehwT3n0zpx57JQCTGkNNueMTH8carzJkfGJBKUpUrOWBG8JLNDDWiQeFAbI+gd5GPB2vdL/CP/qXkpSSo5a9wlP2XI7TwnTVoBIywovHT1KUyZfjmr5ff1E0atMmfnjcD3nfXEXp0V8n+A3w0NsPAQQ1DzXNeCIWgitF0NJzbF9EUXAhWYGyrZreOKZyA/loOlllI44lE7hV0yeczyOnf46BpjTl9WB68cysca5q8gSKIj7AQP2iVjShpFdnZW5ODB0PHC1sHwLh56dj/ewUzCYVpggC9l6C8c1pLOHRprX+XsMYViB4fuvHOhbC6s98loGHFUFYVCCMv+HzTL3tF5tUh+Av1Ks/G9IMRBlLIexZ8NSU5/l+awvFpNJYs0v/GNuvgQLJiOM5aqUMJxAebq3UDWlVhMDAwK7jUhophGGQnDUTaWkL4YCPBgLB0SmXWwzTimWEWZ6LI0xStqnuXQi8otIol8gJLJ5xIVIIpnSHz8iNEAq6EMQ5AJ467ynufe/3w+OrPIqYy6iUqHIRVeKDQFkIasKXY+07PUwMHnBVgP5O93COnNMeVyq0ZXvqjFO449Q7OGbKMeFXlkXzqcpV5pPZ9cmFAPxt5d+RUrKmHt8FkBba9Vn3WwW/sEsCLPgNTYkGzulXlsU3n1fxqUSVhZCliKzK5kvZmr67jp89a2VpSqjx0VdWlBcD5QGWR4S0L3x+dfKvgDoCQXpInTHm5cwgWy8aVG4tJAML4ZVkQtXB5MN32Pb+9/PQmQ9x/05nM27vPgzLw2pt4Fvn7EmqsxWnYJKqshBO8xZwiXgMgIsmjOP3ujanpmc3/mbNoFD1GD646wcDRWNrYvsQCF0q/cu09EKu55KUNuOalZ+/RU/wDebwAsHVje3lEDEEACyrfmevzbAQYtu8uCnsVJm0ZSMBdoZWGfehNpGPBfDWDYYDcjiB4Al4rnmfmu0OIlaFurkQdkLRAVzfBzsdgamD8o4JDYnaDmWbfHzTDAp+ACzpBhaCX0kuZ5/KwsYDWec1sDbnIQEnotH99JmlwWdHCKyIO6gp0RQTij4fUcxlVDWXk1VGV6osOc9TBVnVAkEIgy7ZwgbZQDet/PSS/YlqFWYmVBJ2GbNLTaBW+G43HVS+aKbK+ViwdgV/X9HHG1UJOT4yVTGEmupmQtdMwTDAKdDrJoK5tKBnAQCJqv6h19k/Z9c7D4O+lZBbB/ddQWeimbTn8XwqGWSZ+cjaWZqTSlj6HEife/pznPzbk+nOK/faysGVjE2PZWaryrirodf2XDynjrCJ7GZKj4QDZQuu6mzHMcGMGDLJ2bOZ0DCBrJWhaUqROWetwUgmaU7bjGlvwqsIJuXHxY7/futRzhZ/Df7+TIdOT6rO8vIvc5UKnD+bilsD1fUaWwvbhUCQ2uT2b9YfFilP0prRzJ16weg2zWFjCL5AqE47jWrdMZbIKDaBysioI1CMl26N/e1UXUMZAxINjCVOHtYk8jEulAWrot8PE0QX8KYd1lLckNmf0yaO523bGhWtRSQSeOXwmRtaIAyuPZuW1ChkGdmKitt/P5bnUjEsLL+SPJFANkzmsX3+m3WDJe56aS22lLiRW7vSvA1Q1oEjBPZGyNLquYw86VGJWGjji/Hfp8twmvc6UC0QJKYwMZDxnmv6XlpnDdJ8yZUbv39/HGlr8tCJBwDwwoq3WdtfZJD6YzUIBFfzdteBf6e/fGWQcVXcT0n98+IklWJ6rDFfbRhcqzLh5v+M7Kv3MKtcYYVtUYmMqUa7kYydCSyE/rJS6v74trKAuwoq+2r+2vlMaJiAbdiYEkpvhkR6QMxCiKKhqIsgBaTyZRqKkEvBetPEjayOk794ZZjCG1WC9GejoQnPEYwveuyx2OOOGx3ae9Wxs1VjpWcj5HfmG+q6l6Xiz1BuLr3BJmK7EAhF3Zzc0i/m0FfVwz3TfAahF/+ZulHMZeM6gjL+YsXFqWMFBBZClctIlsJFzRvYSEBupJXKurinN6olP/VNuO8KihWXG373Gmv7i0QX9LLnUrEyNKPO7+eSN5GjpAXCYP96PvyTUGsZ+GNtDOCFPcLPnoDlRgLSSijcn02wNGHzUio5OhZCIhFr1GPo55gvzSKxJdzywfF1ZbkOzNueixvJ8vH6+9lw223sMk4tOhUsjs/lMSMLoaF9xrc1qQyeRmfobBffZRQVCBLJ3R8JOaEayvEx0FSUpPWC7XcZk1KCUEFlAw9ZTyB860+IjqEzudT9a4GglZ457YpP6E9vLeKaexYwIOs1Yg5dRiOBP0uSVGiuUlISet7lJh2m9vFTdKUM07CdEs2eR59hUIksmPuM2wdjsJv0IzcAoebvF0L2l/q5/unrWdq/lEW9iiQxKT1Kq1+MX6B0Y0WGPib1mnhCNRbac7FmK52q4nRRokCzKZK5FdXu/Wr85ja8isEE+vjP/1X3e/FryhrIVMUaK3XcYkGiit7VjyGcPP1kAMZlx9X8ZmtguxAIFV1c1JFXA/z8J9QLm5txlZYCNEhJSi+ea1epvOqdr/0DF94SZ0OUjhMu/FXCYs3nPjfstSjf5cgEgiyq+gEZGUBCAPN/xgtvb+DWp5bw0dvmM0OE2RVl12FlTme5SINrWhTxbJPIU9JZRg3fnM73bZVpNbYhQct559ac+/dHRaidBbw+4LJCqhRdoX3C600zyKjZEiiBEGrFhqYVKZt2LO6xufD7IMuiWkxM6eLUEWTpUo4DVy/gs7/9BTJvsHcktdAPIn59jBKKTe7QAsF3GUVzx6WUrN6pGfvAgxGWV+O+yJQJXCU+rYr76/P08Uw9agSTWtPB8dSFDW9y+nQn/qLTls3gOVkSYx+jO9/DOupbYdUuowBra0uGXH0dWWrdrR15lT1VsapSiKUbattumWbPY7VlsTyiBAgE3H8VqRd+CtQKhPsX389v/vEbAD6+tyLVS0lZWwTmubjl8Lh5LSMzeRdDqgSGhqLq4/3vp78bgEIiPIZpR5S/aPzDtxCaxyA9wQUiVK48R82XjKwWCPDJ9jFc/ODFeKUSi046mYXzdiX3t2fJEaZc7z52b75y2Fd46cKXaEvVZrNtDWwnAkG9/dlVTbAnO6VY/nVm+YkArF6r+q6a6aU8szzOfhq1AqqJbvruHUGx9SaknfqRpQbNFZ9oDDWTkjbLuwdKZCPZRGXXIa/TRP8hJ/HXteoVBxZCn0rbO95UjUw25Ct0n/uhmlNbIlygPQEDwuKeQaXhVmRYhNY7TE/gkcBsaoz1czZ06l3JtEfHQtD1IE6PKlayPBenjtme9Cocu0wpA4WeRNBoHZSFEBUBTc4QbdIIM12i1M8eHjJh0f6DH5JqqQTa6pffa3D3QQLTIeAiWrpeWaCednuYwmBs1sJD8PvLlZYd6BQjEQiByyjKtV9CCI/UhNtZJ+tnrwxZh/CDg2v29b9qFPEY15Gtl5MSfkyoyjUlvYhAKNHsemwwTQYNQbMWXvlKHnrewgASwqLgquP7AsHvpHb7Kbdzzs7nAJCQsjY4LV3cokFqTJlfnyS57fy4EPRjPL0tsFPLdM6afVasHam5c4SPOtcVfvYFQpvS4Me4oSu2r6Isr2SNQBA83JBlftd8lrz+DOUlS9Rh//o0OZ2O7AkY39COEGKbBJN9bFcCwapKCtq1byHcd3nw94CnXQb5dXieR2baD8lO/07sN15EIESDynKY/gMBNiGo7MsbWx+7bU648Jf6wlz1JjMchBXPoaIn3go5ln7tDmgSeSUQvhVvO+F6ktN/8hJtF18U3x757BmCkiH5pnM239vtN2E+9SghOWsWleXLcQfV/YlSCQ9BxbBI2qNggWgywsUnn0Lh1VdJOyWKdVhUU5UyeV1x7VUEIhIMFaZU/Y81mpwhGimjgqCgeHx8SClVoZ5tqDVcHzufFLiGctP7XESOrOBJj1ta1Hg0DZuj5oxlTEOaZh3zCsfQ8ALB8Js0RXz7Bn6NzAZ6hhAIGd9lNIK4l3/kU81nYtvH2/syVyiNumzEq9mfWdTNE4u0ItD9Bs0RgbWTTu0+eOLB9BY0XYphU9IuXv8Z+5g3dl7wOeXVWghlp4RTMkg2Ojw7T2BUWYi+QNjQ5kG2nU/t9yl2SYTXa3ROC3c+KFwzQgtBafB+NTTACc8+i3RrH190/vQPhhXVRiaL+6xyTU1vnMHFcy9mW2O7EAiudhm9epAaZF3N8P7efhqlhIHVAHy9cja9mrag++0nufEJlUYozKpMi6iFEBnAfoP6eu6XGDYh7VQSH7QiQnB10oMhB0zaCLXriuNQEFoINLUEjd6byQVWhY9Lj1C5/3PEMsZc9iHGnP8uphy9DsdI4kQmlIFkRfsCMrNv4OvPlRBGhQmpWYwWrE6lXbm96hka5RJl0wIhRsVCiPL5OGu7SDslCnWoNuxKiZytee8rBmZUIBgwEBMIQ1sIDQnlGokSs3nSw8BQ9xNZISoWuIZASBG0aRxY/wbPrnqG77cqV4slLBKGwIoRAvouo2Funkj/jkjf7XafoCducwAAIABJREFUbVY49AzjMqp7iioFqLF9l3p74boW84ylAJSs+Hm+/ceFLFitn1H3Qpoix8x4kj+sh8bisazUrSpTwgw6qNVzVbqe5NN3vkiyykLoznezz58+TKFiYiY9KgJKdui++sVRRkCXsaFJQPNE0laaMxpCv32sP/ekfcAnENTau8/e61WqBJE3vuY6eyNjulAIY41eV0jTccHUc9itvZbefmtjuxAI/tjwkvDoHgLLhU9uCBfRJyZdyvfcM0DT/X66Yyy3L7sZAOnGFw45hIXgC4TMvoq3yJ+EdS9mEy0EH1am1go5yHiVo5JhC8qy59DrKu23YmVwMSljkRZliuW4QEhr7fuh5GcwfnQ4HZe8h2xHmX7XJuri9jVXYfqFShWSddhNNxdhf2fNQFkuUdIa/GhwwEdrN4xMhoxTohDpO+B3dktUSuRsTVVeNBBVQcj+qEA48HKGQpOtFr4ol78nFQWFECIYj9IwWN8YBhAzrmq88+s1d7PopZAYzTRsNRiilpn/TkbgMvJpT2Qu7N+R0YIP4XLgbjvX/V26TjwggBZ2KWFiSckNO50V+7pFuzunr3+GaWItT3q7UxJV3eCQMUbV5sh8Wm1ZZB2Lq+96JUiMSJcGgzTXSp20zTfWDHDPC6pIrhRx9926QGXmGY5AmJJu0UxvKuQJyqcImhWtbzRAjwH0GDEb6qRl++OnSiC4pfiS6r7nl/R3xOnWnUXJoH3qwEBo3bt//UXwuWXathcGsJ0IhC9OVZPLQlIxa11HT0+8RH2ow//uFuMdnrxSxFUQ0WhcXYxjNjUx+cc/ZqffDRFPqJq/i3oX8dVnv1rTYxZAVtUYZDtrg3y/TnyJZjusMq14DusrahHN+75+M0mCCvlcvMozkwgnozGwKiiWKZDEiVxoMpp2KCoIo0LaTPHto77NtQdeW/8+NwFBO08/c6dUUuRzgGmMQAUeBlELQToOKadMPiIQxt/4ZQCsSnjeXFcycOv46I7QaDQefvWQ5/MthDgnkQwXb/95jh9PX1YEtBZpDy7boMbBn7vCLBlbWFog1GYZjSSGEFgIhdC/P7Fxov65g9WoGvqUZHzh60pUVOX+vh/wbyKEHitl6XJJf47WTLxXyR2FDDcd9V3et/hqOkQv/TLD+nw8EG/iBf2sgVh20jjHoYQOhuuxmJRhUNnxHLJVetVb3YMkKdcElV9fM4CQElOC2P09ih8q4jKsRNjRVzWGS2J61nhSrWWmfqyWpwsrnoIaCIRylUDo68MQBrstUamoLYOSziezfOEXahFatCaMR1RcSW6Mx3OzBJ0ttZbFtsB2IRASlskXKhdgSmWiJ6oSRLIJraG6Jrd+y+GE5yOauIhr5TJidkfTTt1+NZHNpiYaDj0Ee2OUzxEL4XeLfsdtr9/GLQtuqd0v2mKxyYvN/a70jODzXyIdyUoVh/UVvaihFj3PTNKU8OjvjXOhzOpsjP3tt04syCRR5XhepEZAmINglElZaY6ZcgzvnfPeoe9zpNACwacVF6Ui5dFonakR9Z17gwMYSAp23GoAsMtFLP1Oiz0JllXimR2rIzQa9fo/+PAFgp8zD6HLCAiUAlNbLr6FID04WrdlfcoIn7lpWDUWwqZkGfk1MVGBcOOhN6ptlWYGDTUOfuOGgdO8EHxocgPXjG2DpLYw9HdvWxZ3L/4djufgAQnDChdIjfGe5MjxIQ13XiZZ0x+Puxh4uNQXCF/t7qEztxADL+BvSiGCCuSKV6FBP0+B4IW313PFr18kSSV0GfWvgp5FPLtkbUA1vtgdQAoXEVEIKmZYoDa7IVQK7c5Opp+wjuSUOimffqDX1l0BG5RAcLSFcO8M5dItL1lCYXGBU55TT++g1+NSzBoIMwQfSWXZgIFjQnvD1qepqIftRCAYlEhg6SGdqsCyJ9pwS2oyTWlTLzVbdmkowgf/GA5My4ybE7EYQsTE9eksjKaNF1IJ4i4jn6b37b54Kb/b14fnQDmhUxGrOisaEZN5UaTSeKBcCpmktYYrzQRNlkduIJ4RdOTsds7eO6KJaIEwSDpmIbREKZStQYQok67jg99ciIhAqKztovTYo6wbhYI0H9kDD6DhyCMBcPvUe+rsDBd7I6sWPKOQx4rUDuzxptLwL/+omvwLUuFL2JirxjZsmpPNrB5czaee/BTL+pcFLiP1W7WfpesjfAtBSsHUSm06qyXquYyCC9nYratd0rUWQmuqlV0ajkIYJUquZF7xFq5xwv7Cvp/75VQqXPw0rmkfw3Xzv8kbG1R3wYSwoKGq9ajnxHqL5Eny+to4DbuJF6PYjrqM/DF3vPE8DYYSCGnpBRbC+nw+bEHqGTz1zDPcnvgCuxpLQwvhm7vATXuzh/Vm4BXoF2UgLhAcEx7fQz3Hizsjzaz8wHO9Nq7+HB6rYmlmlctobboVhKDra19n3e962Guxup9slRduzXrlavaEJFFR3gvVGGrL63s2B9uRQLAREibr5Jzc6hRdL6tF5+TdxtNQzvOdR5WWXo68CyHivsropIo6+aMuo41CxOsQ/NL7vBPvz1yY/xwgWDNJ0zIn4hPf9EJtq8c0aNaXMlgsBZzqq3Xam7CSNNoepf542q0QgnftGun0oYXMCjk2FkOIMhYIKwdGhYw9ijEE3SZTVhyWnHEGuC6rs2ODGMcWH9+2af/4VQA469TzvvS0vYLvTd2Viv5+LM/F04tsS6lAwTbo1j7455MW05qm8ePja5vEVKMj08ETK57gwSUP8qknPxVkGakLUu/fSGh6c38WelDvjm1jy1xG9vhxNBx9NBO/8fXY9pSZQRhlyo5HjjReZDnIaeGT9sLisadSKVbaKcbolNCfvfozAMqOgLYZsWPjuRBp9pMnxfxlcZeljYMZMYOb6mTqTRTrmIxyiSY9L4gh5Mpl1e8YaPEcrnj9PA40Xuf7Y+7QFkJ4LxNZjqkPbaSbEIaLEbH2DAn/exTMOWs1iVSkViKY33We8Zk/hulHgA6mBy4joRIBBuwsydlhwaDQk8iKFKkJKejRDKblJNiuimU45shiQ1sD24VAMISgLC0apBdrbC61Bp2wDK5232BCTklrx4Brfmtw6RNlPvZQV+xYMh8O6lhQOeIy2ijcUoxo7fnlqi4gX4kLhMrypQCsHafpl6vGh6kbnHhAj2nSrg+ZK1f4pXMMC3a+kmfbVP+iRDJFg+mSytdSBzdEAiquLohaIdtjWUZRGIkuxGgLBB1U9nI5XN0USLa08vWz99jYzzbtHDpDx+lSAiHa59nIZsE0cfv6OH+fCZipVODycwwDz86x2/QprDIFB004iAPGHzDs+dqSbQFd8ercajxqLQSfQ8qNuIzqIWEmAFk3qDySNCNhmkz+/n+T2TvesyBtZcAsBgWLABykuPv9AHraE4GFcHNrCydO6iCtz+0TypUqBtKKm7C5YonDbwzpI/IyGafeACxczEiCc2MdgXC4GfYSTnkuRbdIvpLHsHLoWkHaItZyOpUm6UkKkbTSXisbWAgyrVN5oy5DD0whMCwZp6WYd0b8/yimHQIX3wdasAQCYZLqWOgYZpCsELvnyKNOOUlcS42RYhISFYnl1PJebUtsFwJBACUSSGAgU38C5SMZOJky7P5GmWOeNjhyQZkNhQ3c+9a9eNJDliILdySG4PX1IzKZjRPFdS2EgTWwKgwY5jVlQzRnHaCyaiUIyfwJenREPVfJZkyvQto2KQiBKwStejLlymW6aGXp3I/ynQv25zcfOxjDSpIxXVpLtZz3aSOchPfOV26rJXJ8rAhrjAz/SnU+gDDKZEfVQlCTMPd02DTkyh9cyym7j2JgzRcIa1VluhURCEIIzOZm3L5ekquWgeNg6cZJxSrTvcEeWcOeWFGa9JBShjGEMdPVeasFQh3yOICEWcdlhJ9lNKLLqYuMnUUIj4JT4oqjZ3L8bo38cecjkf+5NmgUn5QiPK9egN/U172wWysY0uLxN+N9NPryxbB3A9BLQ12BYEVidPWcJJMNtWB2yyaSrkvJKXHhgxcC0FZR7/TivghNzMBqklKy3oTdpk9huWVSEiJYiPN6Ill23EKw6mX+dc5ThIudc2u/q4KwbUQyiZvTHgTbxursqNnPp80BsD0zuK5iEhLaQsgW3pmAMmwnAsEylcvIQ/DDk+rf8spVPXW3A9y64Kdc89Q17PHzPdjQ72f0yKDpipfPs+H22zE30tUMgHyPkk7FSEaRbkO5qG8RC+ffAv2qLsLtWYeZ8HizWU2TnqbIZEq3YMkKzWk74EVJ6XGW0xQQadtkbEOSfaa2gpUkbbhMogtHF+m5WTVYs1a42L+5aj2LbYunGksBFQHAcfkCX9vnU7FbaUiMvkAoLlDsmLOf/RtW2+iW6vvnqKxSQtFf8H2Yzc24vX3knvwzslLBbFZupIIVF/B+wHg4fPaAkLJcIvGkF7gBxMS9Y9cUtRBWZWrz+U1TDJl2uiUYr63ZXSdl+MTxc2iZdD+fePwT/L3nNX6huXsaXBHk4Avg+Bc8Tn/QQEhJydN1I9JgfYQ99273EKxIMBjgIXe/mEsKwK6yEAAun3Uuc7uO56ryv9Etmxgj1Fx50ZtFynPJVwq8uUGxCzQ7Jq8sWcYZgxFlqthHa0RR+2s6jYNLSmfsvdGj4mhRgWB6YI3wvW4MRjaL26vZWM/Yg8SUqTX7tEXCKLZn4jNi5JIEMYSyUytIthW2C4FgmwZ9MosEcukqlWqiyhHer1MFSZe3VkVvgZ++FjKMPvS24jYXJgFZWO+ddyJLJZyurprfxuD7BGJzOfzjhcevg5+dBoCXz4EtWd4huOk0g1tPiAqEVkwtEPzl3L/qwVIoEAKYSVLCYYroYllyFr9yjsJwSlApkDbCyfOZ0ne5YMI4+sY/HkvbMwScOPlojp8aUvA2JrecljqAXnSd7m5EOj28220z4C++pTffxBwzpuYcRjYbe39mi/IFl6oEQg3P/hDYuW1nLt39UnVsjFhQ2bdWAgvBf1VS8OS8L3D5ujwZT3KobuNpCk8TwdWZrltgIkxrU0LvmdzX2esXe/H3dco981bfYp7X/E9T3EE92FXo40MPe+z/umrogx47O7OK/30u7E0wKNOx7CCA0/fbqdZCEC5WVaeNi6a9h6WVk7jHO5RBmaZZKu2/T2YBSW855Oq26nWRAXaPpIa7QEF47F7QKdU6JpiMxBBeni6wDf33FlThGw0NFP+unmF7a5bWc89h+r33kpw1s+7+iYhAGEgKJvWohJemcbWCZFthuxAICVPQTXPghzeT6i30Lc0gz1fEWAdMbqKUaeD7c99fe4CINpbuVm04hSlCugq92DQed+wwV1JHq4uYzE2uBxuWqj371weEai/MhfUZI/x1uhULl7QtAl+/r6+v6VcurVQiKhAsmvteo0P0stpT1cui1Ac3To4JBCCgZ4jHECSYNhfNuzDYMqoWgo4huLnBgGZh1BGp8k1MmlTztZHNUlm9Ovg7/6Jy683qiafqbkozoMv2uoyL515MrpJTdQh6QQw07joxhMkPPci7/lzmb28vD9wYwpA1QeVNSTsdCn6Xsvld83E8JwjYDlRCNbaXdIxc0Uc0dVtKi2eXhs/J1V2bz7X+FGyrGKkaCyFFucZCyLvhdIvScp96wC4sSlQ/+/rL17jlgsm6udHD2QyLEhazCkoQ5HX1dXM6zJLraxAc0KQ79iWGKCgdAfw4AkBiyhSEZZGaMxsxRJFqs2eQLkk8oC8VPuPj99y8drSjge1CINimwTrZHOgiU84O8+8Lr78FqCrZTCZVl+PGjCgxac1AKkyCwjSpNZLxN35l2GtRcyvKXurRmFNtL/OGEeQ1e73dSL2oj3NcHCFY6y9qGeVOaTLKQTZQSs+iFb3KfI5ZCIsfx6zkmGmsYmUxSV7TWeBVAuKxevBbjgoBGBaNdvjcUlsh7dQbzCFSo3fceucAMBoba743MhmciEDwW3tGceyk07ho7kU12zeG1lQrZa9MvhJpUORbCJaFlEYoEFxB28MPsn6hcl/4b9AQcmiX0ZYIhKpAsC8Q1pfCxX2BnIqnz/v5X4aLt10lEKJwMTHwYmypk8c0BxZCyVQLZ5vox6oSCEUHUnrstrSEcZ5kQ1uNhVGvkBSg9Egr3/ixOu7rmun1zPVqXgyikkImNITZdXcf/1OunaCVOXvzLd/UbJWCanV0xALKRrq+QJhT6iJbVJXSUWNnuIZVWxPbhUCwTIMCqbDi8aqH2OlmRVXta4WyUkEkbN510Iza30czA7QvUlgiKEzzCkorN9xhmpLX9fu6tOoAZM4QQdm8VywitUa0n6Zt/rse3HSoIFeLkQvqBXyB0KODWqmoQJh+ePBxg5emYKhB/3g6zfM9rwx5ucH6IwDTjvnPRxpcHQmCOoRCYatZCCJiIdSjFYlusydPpvW882r2OX3W8TrjZ+RoSSrX04bShjDLyAwthIRhBwJhzQvxYqQrN/SyV7HIvkbLFtUhDIWUGRe+gUAohAKhIox6rcMZ0x/m6xu62vi40n/xvvJntYXgxezhCw+ayvkHTFOXrF2nB7WXMfHokaGALrngScl79prI5PGd4TkyrXy5O0ybdosT2Llv+DhTzjA45C2HtY8qATCge1LPbAsLR2eO30cV1wFkxtQcY6RIzVMEe9EsQohXykcxvpBn8jrVkCfajMdIbx2laCTYLgSCbapJ4wFCSkTDWKx9lK/ezzqR5TKGneCDx82r+b3lQsdalWqY0O/asIygMM3L5xGmh/jWnGGuRAIyTn8tPBo9DyGlYkHUHDNeqYKbVALB70B1K0dyp3M4nm4n2CxygWun0fPdC0orS9smz65+ljc3vMma/S7hS2NaqQADMkPFzlIBLh/Xzgdf/BrrhurgZEQtBDsmBKrZJrcEUe19m1gIdbrZRc39qbf9AiEEzWe+h8Q1Hw+2JzajetoXCBD2SfDTOEXCZmrz5GAxKG6IC5vpFYefr+6is7ByI0HlLXcZVePeRfcGnx0EXqGW4rwx0j3Gb4Czz74HsbhxP1wMMqLESeZzwT4p2+TSI5Qv3dDFf/tv+D27dSZi1cqX/folHFdimQKigd50G5MjFeeFFe9DyJG9j6NeDudb0VQWwqyxym3Yev756otdz4LDr4ajPlvz+5HCL0r1ObmC7Zn67lWr32DXtyWdvfDs7PA9+gkN7wS2C4Hwnr0nse/UVjwR3rDZkEVkMjha6/AthHrS3FryPsb060CPdh8JU7Cuv0D3QElpttYIsj5cR83fqFYnJCaSjJTKQtCUCLLs4Goee78Q6NXOV7na+WjQ8KeZfOAymu5KkCZGUgm4tG3ywYc/yJn3ncnnF9/F7U2NPJdK0U+G5ZldWWuFk/CoqZOY33R0zeUGckKoGEKUrmE0BQLRwO1IacQ3+RwRgZAd2kKwxo3D6lBZHhO+9CWaz3xPeIjN6A7Xmgo16SCG4LNdWhY/PPaHvH/3D2z0GIZb0gkJVXEd2BJ5MCK3nyPAq3PfbflwLOhiej55/BxmdTbGqo9j8IngImnMTaU1lCMJp905F8fzVHvTqEsrGXfzSTcdK2rjlG/WPeXkbhmQM4Iq8JTSoDPTzi4LX2fcdZqLy0rA0dfUnGdTYDaphbxaIIiUelb+uPLR/LZ2lQp4aYaBd+IR6jhjx/JOYbsQCG3ZBHd97GCknY7NHzObxdPcMbJSAdvGbG2lcd8ZpMeHC2am0IwtPUxXYhZ9OgiDN1f1cv7/PIOXy49QIOjsh8iuhvCwpSTreSqGMEa5rLyyR1dF7dgQWyS9YAJFXUbpw6/Gkq0YttLm7Mj1BNNPQL/Msj49lYGD42ydqwy1cBnRvtBG9ELNWPXkqAqECEq6WchoI+oyEnUshOYzziB78EFM/NY3Y/fp9/KFzRMIe7TvEbhmaiwE26Yz28mhU4/c6DHswrotYjsdCmIYaZL2PBwEhTkn1nw3XWZp1tqIlAb7T2ujvTFJoeLSRL5mf3VCdf1GZCGfml/AKhm6aTwMKq7ENkTQzZBZxwd8SuGOSToaIhZVZ61l39Yv+caPXXb+R/jclowDvMRWaTpjNg9hIWglM7lLnFV2ly71HD54pbqW1NX/Tuc115A9uLYB0bbCdiEQfHj7fiDGcigy6ZhAELaNME0m3XY/0/60gPHvVb76H7x3Lk2WwVX3ekx4WVPiZi2ayjkyr75I8Y03QoGwkcYpLHq03lVh4ZHxJHmhYgiVlStx8oKidnX17BepATCKFD2lUbdbhcBCsNp3wXUt0Gl1/ZXQDyz0QiaBAdJYpsGD+ZB7HWCZqfl8Itv8/guyukya0RUIVkd7aLpvpFfxFiEqEOoE7VJzZjPl1lvJ7LVXbHs0ZrA5AsE0TC7dQ6Wf+sVqfgczX6O06miEfWP3Ca/XK9eknY5GltHGCPrO7xtgcsXBFVBuaqn5vlUIPrcsw6d7NnB97pNBE/gDprcxUYS+/te9yTx0xD36WmuXG8srsdOsXYO/XQQVV1sIu5+jkize/cNAc393/nRKXccDBuno67AzcO6vYseevK5eVp+gJTV68a8o/NoWUVXM6LuM/PftI9MnMGwvSIXPNI+l7X0XvGO0FbCdCQRp2BgiGlzMBtxEvkCIQnQqiT4pA26lwgFvRHhImhKMLfTxladuprRwIcIXCC/dVv/kuXXwnOLAGVg4yKLPXsNVt7+IFC62lNjY5FKN4DksvVCld5a1W8foCLnRhVmgTzfhmFZ+KyhMswwL1zURhlpQ/7LyL8Fv/tqtUihd4KR9d+bfj5rET3qej13eSl2wFh2KVqpe3YRCVHPeUgghAtM9aPc4yohOsk0NXPsa/uYIBCDIzvKr0QOXkV7U7ckqzdBMugFlRtOH7+MzU/QC53lbJctoTtvQMa+rNvRionolFzO1bpRmJFNlP2M27MybcmoQeL7ymFkc1hFyGK2SY6FDF9sNkeM/dmzoSnExyJddFUPY7Sz4f6sgOyaIJ1yw/jEO36AW1kktkfdoZ6BlSixvY0ycOinAnaf/qv4XW4jElCmM+dhHmfCVeLah7zIyGxtYPjZ8X07ewkqFcZHqrK93AiMSCEKIE4UQbwgh3hJCfKbO90khxP/q7/8mhJimtx8nhHhBCPGK/v/oyG8e18d8Sf/b6uV50WpRUMHFagshdl9+68HHbuRzdnyhNxosGish0Z3hN4MfWFv/5DlV2u+fvnz3b7jnpVWAh41HyhPkBOBWcFapzKe3GpT7Z2JzA9896rvq92aBF1epa9599Z2BO8gUJrM72gILwSfNiyJvGJx18Fx2qlMZ343AgUDAAEw8dD2de/VhHxmmWl6979X8x77/scnZNiPB9HvvZcaDD4z6casR5TEaCfx7tcRmCoSEWlD9DmqtF15I9uCDaD1X9QAWhsH0j8xhp69+hJazzgSg65s30bZEUUMI6dYWpo1CllE9XL3v1Xzv6O+RlhJLSoqYdOXzlKpuvVFK2kUf3VJZDx8+TOXxW6ZBYtZRwX4egqaUnleR6/eiNB1meHBHu0PbG/Ti6N+fthB2rrzGjxPf4Mtn7Mb0tkgMJJGBZGOMD6ox3t45YCkY37D1qCE6rrySphNPiG0zNEuusBN84dw0N0fYEsxEKMGqs77eCQwrEIQQJvDfwEnAXOA8IUQ1uccHgQ1SypnAt4Cv6u3rgNOklLsBFwO/qPrdBVLKPfW/Ycp8txxRgjFQgUQ/ZbSuQNDl7d7S55ko4tQW2fyi2N+GP+jzcUbRAINDCAqhJl5SCuUy8pzoVwCk7ARtaZVil83kmL9SaZqldEhCZxkW7dkGhHAwG17n+y9/v+ZUBe2S2lAMqz1/vVJRcfTJsgpqa5w+43TstEfbnBxi77Ag7aJ5F3HxvNoc/dFAas7sjfeR2EJM+Np/AZDZZ59h9ozDz8bZlKK0KHyB4FsIdkcHU269NUafkfrEPVgn/gdeUWWJrf/Zzzntzm/huTC5NbVFbKcbw5mzzoz9feHcCzli8hHQOj2wEG7+2+N84ONxn3urFDSSp58Md370IE7cNdIz4LgvwAmq6VAilWFWp3bRRF1eUW048lzzqEVxQkuVO6uKO2tKWybOBminoWEcsnFKsOmMdSGlhT2uhUfmxulKthX8fhwiYVMqXMWjHaHAFJFY32jW9mwuRmIh7A+8JaVcLKUsA7cD76ra513Az/Tnu4BjhBBCSvmilNJnVHsVSAkh3jG7KEYwhrIQii//nRWXX443OBgIgABaI+x6qTYNLNrfGMDwqRcHh5BruVpBMa7zG7TmHGw8Ep5BXhATCD7vnGVYzGyZiUDQ2NTNG90qTpFwi7hNKn3ONmySZhIzs4zM5J9VnwqAvCGgoSMmEPxm5n2U6dF+9s8f/Hm+dOiXIjf7DtIvjiKaTj2VOS88T3JGba3JxuBbCJsbiAwshMrgMHtCyxnvjv294i9jSG4lLiOAzx30OV68MCRbDCzojzxOqX0vwEVK1WkQ4M6ZRwKQxaHcY3L4vfNJ5Krqb0wLUmrOHDF3CmMDbT+iGUfYRjFtmHoo/S0hj9PMjio/f9ViaRtApHcFdhbsFPLDTwabVuTDboeiqYPc4isZeHPLO/xtKoLWsHYCpziOgd4wSC+E5PQZipXY2ALajNHCSK5gIrA88vcKva3uPlJKB+gDqu3yM4EXpZRRMpifaHfRtWKISIoQ4iNCiOeFEM93d9e6QTYFNS4jnRUw8MdHKC9ZUhMMSs1VfOZuufbSqq/W8BvpVPLwwKfge/vHvh8cVItBdB7/5ObV/OgmFxuPtGewAS9oUgNBGQCWYZG1s7SmWkmlBoMso1Vejssz5WCfen1moxg45lpINga0zF/pWkdGSkySrKsU+KsuiNmzY8+qm33nB+poQAgRqzcYKXyB4HibF/D24y0jEQjV7qzc6qQSBkOynW6ZhSCEqB8bSbdgJTIgPGzLACE49bx/45c7Hwcs1akzAAAgAElEQVRA0qvQ81ojdsUlsbBOcaPvTrUjC3n0+qMLvGHDJb/nlVPvDzbNru7mV1UDkjBlyDY8/Yjge1kO50AuFx7DSCRAJsDdOtlxG0MgEBI2ZSdu6eW7ktxw8A08d8FzQ/18m2IkM73eiKtWTza6jxBiHsqNdGnk+wu0K+kw/e9C6kBK+SMp5b5Syn3b27fM5LvrzbtibQ2TO8U1xeoKVnvmnjROqnJEatRaCFqdd8vw7M2w7o3Y91++X5Felftr3Q4Fw6XJsRgQksF87fl833XKTGEYFcqoYzxZlT65tH9p3Wu9cu8rabQb6S2pmMSGkrIQjtTnShoZyoarCuOASQ1VXD9bIUXvXwn7j1PCfWNZORtDtctoYxB1At7SdbdKUDmKh898mHvfdW9sW8KwEcLFDdhDBRW98BrlUuDTTNbre+0HkiNV8rHrjxbF6RhCNjnyGE1CuMpCaN9F9SXQzyGa8jmtL7TKt1aywkggdAzBaGxkUmt8DBmNTZiG+U/hLoL6FOTVWAFE2ZYmAdXE+v4+K4QQFtAMrAcQQkwC7gYuklIGjncp5Ur9/4AQ4lco19TPN/M+hoWUkrIXTwmtZiGs0R6bJmEmPLyyUdO8xCeeC37r0xa6tVq6lBKbobXLginpLKpXsfrPrwNqAbnjMDWBxqSV1pi20gwaZQalGlTpiLnRmelk5WBtAxyAjJWhJdUSuIo2FDeQNBJk9O9TVpp+wwtabtZojP9HLITNxaf3/zRnzz6bCQ0Tht+5DjZJINRJiS2t7iW1FcjtoqgXaE3bSRAOg0UHEnDdqfP46Z8EGBJzzWu4WlEZk66zjEw7FD7+GjRHnAkxC6E2hpD+3V389nc38Z5TI+7KIZASjhKKVcqKrIRzvLUY1kP4z/WEeZ1sa4y55BKEELSefTY/L3rMX9aL9XQHTlfXkD0w3imMZKY/B8wSQkwXQiSAc4H7qva5DxU0BjgLeExKKYUQLcDvgc9KKZ/ydxZCWEKIsfqzDZwKLNiyW9k46pn7yZnDCATDwLAlniNwvapBX/XkTFun2rm1dQiOFwqEV/aqjUeUhYdVNrn+Ngdnfmjm+s18xqZVnnraSlPxSqxiDAW7lQFdSvyXc/9CS6qFK/e+subYoBb41lRrIBDWF9fTmmwOzLqx2UakUaEiVKMQI0ZixP+ZGMLmwjbsjaZoDgc/KH3k5COH3beeC8jpzW0VLqPh0JBIIQyHdTk1tlsySX53+aEYhlS1Kf7wqJeXDHFhAPHF26qKIQDed79B2i3z8RfvIPfMMxu9NhtXuYyq7r+6KMyHsG1euf54vnf+3nW/35ow0mnGfuxjiESCjqYUJ+46jun33A0Q79H+T4BhBYKOCVwGPAS8DtwhpXxVCHGDEOJ0vdstwBghxFvAJwA/NfUyYCZwbVV6aRJ4SAjxd+AlYCXwP6N5Y1F84/lv8OMFtX1wrXHjaL3gAqzxSjuq5182LInnGHDkdbHt1S6jIGe/jkCouB4JLRBes8bVfF82PLJdgrnLa76KIWWlcGQJEJTT7QFVtc8x9KHdPsQ5c86p+V1/uZ+slSXn5Ogp9HDfovtIRkzUjJVGGBUqQmBHgxxmbbrgDmw6hBA8dvZjfP2Irw+/cwSTf3QzAE5fkSFbaG5FgZCyUpimw7pBJRAsw6AhaSFMiedGrJUIx9BGEXMZRVw4fuW2bjB1/LLnWHn11Rs9lC0cePNBBl5ZE6SOOz09sRhC7NS2TWPKxjb/Ocay2dpKarfdgsy3fxaMyGknpXwAeKBq23WRz0Xg7Dq/+yLwxSEOu2m5f1uAp1Y9VZedUwjBuGuvwd2wnv7VqzEa6giEI66AV3+CO/Vk4Ifhb6sthKQvEGoH5N+WrA8shPljx3EO8fhCxfCw+8NX0dMIN75XTRLphgt32krjSBVYL5s2P9DN4aPZL9cceA3v2+V9nHbPacG2tlQbSSvJ+uJ6nl+rCtIKkUYvaStNW8MAfX1p7OiNGbYScEOR3+3AiNGe2fT4V2Zf1bzJGShA5+iT2w2HpJnENF08fS7L8LmYJNIVCB1DGLGWG73+RGSuaZeRMM3A1hhqYfeRGlxBocdmxaM2LV/7GskZM1n7xS8y/is3xvbrSTUxpthPcs7sIY70zkAIwfQ773inL6MG28VMTxgJBspDU1P7ud9mPQuhQ+U19/3u/tj2agvBtD0YOxu6F4YbHXXcS37yHLZwcKTBG9NqJ88H+/oQhXBRnz9TsKxDMKXSxFcO+GmwPW2lcXUXqje08j7NqA10+gKiI9PBzcfdzLtnvpuUmYp1+/rqYV+FdCtM2Ju0laajWWDtcx52OpLl4hcM7bAQ3hEE8QS3Xse0Le+pPBwSZgIhKoHMMbViYJg641Nvzz31VP0DVCN6/clIpbu2RO0JYYzG6+tj8bvPoKA7kFUjObCcSk6N88qqVay/VXU1LC9ZGtvvjllHc8ch59J++eXVh9iBOtguZnrC3LhAaDpJ5QVn9tuv5js/86jnRz8KtqUOOKBGIIjDrwjacQb47UeCjzYOFSzM1Er+uGck9dX2ODZfwCxEUtG0e/UjB32UU+eFpF0pK4Wnm47I3AoAbsjW9uAdk1KL+if2+QQHTzgYQxgkzSQlt0TRUeZ/Z7YTrl4MH36MjJ3hrd63GKgMxCuQ/YKh7TyG8I5BL8AySDsd/cK0jSFpJnFlBV/4+O4W0dKJ54pgDvQ/8ADeSKyE6LXWCSonpsZbR5YWLmT9bSFDgDzxqzzlqvlg9y/F0UpUedHioFe2s2Z17Bh9ySxP7HJEjNxwB4bGDoEANJ92GjsveCWmofjIHnJI7O//OtNg4PNfpDo5wGhoqcmV5rV7go82LhUsQPLC4Sl2PnsVbbPDvHQrMp/yCXXwzrZZscOlrTSphMvuk5op6U5TqZnH1Vxzxs7wysWvcMpOpwTbqgVC2kqrBUeIgKjuoaUPxatxgxjCP1cmxP91dF53LRO//a3QVefVdkwb7SyjekiaSTxchFBjzfQb/LSMR7qCqLuq5+abN+3gy/8WftaWqCzXxt+iQkIc+FFudZXyZhbXBzKxsmJFsE9lZTwBMulWcOp1+NmButg+BIKRIO8MQcmrUV2U5sOqKhTqaRK82duHV+VXNxqb44GyKtg4uqBMIoWplG4jrL43IsVvfu+Rzkw8RS5jZah4Je677FCK2n+bToyMuTFpJSk6xaArVjSnPpqBFRMI/ufNLMjagc1D2/nn03TiiWHGUV1yO/3/VhYI6hzKn29pC8FIpZCuIL82HO9O9xCULRrSdXEHI4V5XiQQrcdZvViEMOPzsqLDnsbzt1CjlQFuf5zR7unxu3LYrHeuv8C/GrYLgTBUZ6iRYuajjwSf8wn4/eLfI6sEgtfQWlcguFo78V1GCBlMdCFkQC09szlcoNfrNb5aIKSsFEW3iCc9fA9TeoStLP0YQsHVxWiRZ3Ls1GODz7FaDX8yujsEwjsGoTvsbeXCtHoISP2yb6r//WygVArPFVQKJqkZmqm1beh2ltLzWDhvV97cd79Qtzj7J+EOZigQUrvtxvTf/ib8bZXVcPFhYXDYV6Y6/99n2fnVBWDbQcZRau5cdln4On+49hSuP722V8IO1Md2IRDszWh9GPt9hHCtkITnB36BkZVEugjipZpqXUagStVRaXIVaQIy0GyEAUiBlJBwJEUb+jLwyjTBAZ2HkrHjldO+Vl90ihT04pBOjoyGWvmDXe59S1WjRovPDp14KOOzKvV2+UAk9/XEr0C2ozaffAe2IURoIbBtYwh+3YSRVi4Z30IQySSeI0AKGg/eC7O1FW+gH69UwunuJve3Z2PHKb/9dvB5yUMdigpmaqQJjB6LXrmM2dxMcpcwLibLcavhmLnhWPQfQev73ocwTQzbxsup4r+J3/k2AJNaM/80qab/CtgunlTC2PKy9ezBBwFKIABgm7zvk2GgyrHSOHXokcu673JCWwgikk8eBKYlGKUSL+8k+PCVFoMZwRV7/kfNsfzy9u5CNwWdAphOjKzln//boaqZy3XqJ5h9Alz9jxqmyR3YdhACtfK5lSqFQ2cZbcVzT2yYSHtyMmZSpTpbfpZRMoVXCYWD0dTIhl/9mn8cdDD/OOxwll18MfkXXgiO42vtAOUBi9Ke16g/jr0eWqfDeMWdJYtFRCIRK87zSlXjsiVCmiAFCIHQ1yUiAqFexfcODI/tQiBE3SMd6c1ruzDxuzfR9V8/pCySUG7HwQQheGgvgRSS/52/hoXdtYuqbyE0UiDb6HeeUgPe0+3O+pelMfIFChG51ZisXYQ9bSNf9aerKAqBJSV2YmRkXTNbwqrs46bWBqJ3b98dgLNmnzWi4+3ANoJAWQiVQlwwbwMLAaAtGbotfYEgEokgw0ekG4PAb3Thf/v9l7D80o+q7XqRHvtvH1OXPuUwtdOhH4crXoTsGLxcjtKSJSSmTwNg1l/+rPYtlxXtzDLd4a855NmSklivbBJ24GLaIRA2D9uFQIimUt528hAdzYaB2ZAlteuuVPr3wBMlNug0tltONDnnMza/fmEtg9Q2b69oC2GcWE8lOw6EJKO7mpV0MVrPwgZEIc+gOy34XUuqdqHvKaieDEv6llAQBmlPxknCNoK9O8OS/ZOnn1zz/ZcO/RLXH3Q91x14Xc13O/AOQoD0pBYI4fjaFllGAK3JsKDOzzIaeDRsBSvGTmHMBz5Q+8NKhcEnnkBKGQgKo1G7N6MBZX39la4uqFRIzVYxAmvsWKwJ4ykvWcLKK65k0fEnUHililXVI7AOAIwIff0OgbB52O4Ewpa0qdt3WhtjsikQHr1Vec2FxAYKXm2uc1QgmC0T6WhM0JxVgWBPk8wblgeFPHkrHMRN1U3FgQt2uQBQzWsKhiAtPbBG5g6LZhXV0FujCNjOnH3mO9rPdQdqoVxGHjiFOGX0NrMQwgwdU/vivUgmj0gkyR54IMm5tfUwoLiFfAvBbFLuTenWobrw/OYfocZvJJLkn32WgT/+EYDi66/Hjy1FrL4gKgR2CITNw3YnELakTZ1pCMZk04BHqapYq2/6ryjqMV2Q+nwT96HseKQp0iJymM0TSNoG5sS94bzbIaU1JgG4LvlI05B6zVjGpMfQnm7HEAYFIUjJkVsIADcdfROfP/jzAVneDvwLQI8NpFflMvK/37oCIUrLLLSrs+3isGOeSGim0nm71v29LBQiFsLQAsHfFlvgq6jA11z3ufhvqlxG/rVgmojUPwed9L8atguBEI0hbGkvYFMYCOFRqOb3EZLupKK5+C9HE8ytfIFKKc84oVhGOyfNUHEAKwlzTmLCSarGodCtrq9g1rqcqpEwEyp9VAjtMhr5/Rw5+UjeM+s9I95/B/4JIEA6Ojb1DsQQ7Eg2mi8QOj7z6WCboRdtf/Hu+I9P0nhcGKPyikW8AVV/YDZppl/fGojC3xaZV6mdh2CYPUKfv8ZC0J3tGht3WLqbie1CIESLrep2h9oEmIYFwqNUh/BtaXp3TirdyE/csEXe5Acv5jv299QfjeORhPTSdoMXNBkBMPLDE6D5FccF01L9EMwtu58d+OeGECKsA6njMtraC18iktnkj1shBMlZqorebzwjkup/6bgxzV4WCjjd3YhkElOTMUqntq4l6Dsc0fgbT4g3q7cm6J4NR35W/cYD6riM/E6IO7Dp2C4EghjF5DxVnONRrOPSKVRcXpdTiSYDNq7+K7sbS9QfHXPxpBf2G5h3RqzWKFspkV/2ASYVrxry/EkzSU+hh7+lEqTHbj5H/w78C8Fn0I3VpWwbOoZMIuKXj4xrn+bFz+ppPfdc7AkTaD7t1Fh3Mq9YxOnuxmpvj1Bx1LMQtBspomg1HHUU4274fPC33+ugvGwZix+fhTPmgJiFUHj5ZXWdO5SkzcZ2IRBGE6ZQFkKxTtvAYmVoXngn2QIN7Ugpw4l10GUxkry/TNwdNzebC/Y4doijKIEwv2u+OmbDlrUU3YF/AQiQedUDm8j7llJuE46pjsZQCEWtkeTOO6vr0Jp9YvJkZj72KPbEiaEvHyi89BLlJUuw2tsD7b9e/4S6MQQhaD4l5OOSuiah55ZbKa3JMfjsgrqkdW5v76bf6A4AI+yH8K8OfyBPa5q2xceyDBMhPIrCBOIDO18OTeF82zwy61+NXIRmriSkrlBFNbov7S678HaTMolP3LW2iY6PaJaU642wMckO/OtCEBoDOx0Vbt9GAiHqYo0KhPZ//zfsCRNoPK5WeXF71gef11yvNPzG448PU0Srxu2KK65k4OGH1TmqFngR6Rsui4qYMUZnEdk/vddeFF58sW5f6h0YGbYrC+GQiYcMv9Mw8CdIvk4MoVAJTeHF+8UzIvw2g570MCKP3Z9jRibDZ0/amQevPIyxDUMP6GiAfEvjITvwzw8hnVAgRN2U3rYRCGYkmy42bhMJWs95b10N3VlXS3RntbcHGUHSjbuMfGGgTlIlECLzzC9Si9JZRM8/XruXzObaNrU7MDJsFwLBd9FIueV+V0tPkP46T26wGHZ5GvTiedBCn1tKGdO0fAvBSKW49IgZ7DJ+4wGxqEA4fNLhm3bxO/AviXrD1hscwGwcGW3JliCa/jzSAHY14yiAkU6Fi/tGyBJFHd6hid/9Dk2nngpA7umnQzoLywIrvL7ETjvResEFTPzWN0d0nTtQi+1CIPiQoxCIE1ogrDGhOcKzLj2Ltf2h5pJzqjQnEV5DNDjnK2AiPbK86WjD9ovmXrSpl78D/2oQknqMRc76DZitrVv99JaoTTsdFnV2a73ggsC9U20hxFDH4mg6/vjAzbT6P69h0K+Udt1YAFmYJuOuvYbk9Okju84dqMF2IRBGMzXPp6teZXlMqFS4a8VqDs4XkE4DK3sLpG01oAec+DmjLqMYeZfez2qL910YCr5AmNE8Y0eu9XYAoWMIUio2UFD/D/zhD7h9fVv9/JtjIUy66SbaP/GJ2DZ7/PjQvbOR2NeQnc30wu+sWRNukxJ2MJmOKraLp/n/27v34Kju64Dj37PaXQlJ6AEWQjwlDBV+Y2Cw4yZ2xsSM3Rhw2niMcR2ntUMH4g5uxtPQTnCcTDLUM0k7TZO4ISYtzTg4DnEbnDp1bdJ4nA51EY9MDIQxdhMjQzBEGBBYj909/ePe3b27Wkmr3bsv6XxmNGjv3vvjd3+72rO/98IpzoiIxdMWj3Lm6GLqFNmJKpgRidA5OEh909Xg7io1Z4ozKqM3fZ27eJORZx4CkFgkbPJHlmf1/8evTV8a24xfqvDbvY0cvfY6VJX+Xzn7dkd7eka5Mn8pfQhZ7q1d3dHBZes+lXg8d8f33MSctPqPvcnJxz6feQmLDMO5AVo/+5cZj9sQU39NiNJc0rqE3XfvZlptbiudesUDwrlAlBmRCCA0ty9FDj8PwOwptRw9dYHPvXKBX1St44RO5enwFrpkkJ5fv5g67NQjPGdOlv+/U92uDVpAmBDct8p7bzmLHfbu3p3Yv3j2t7cOd5Vv/Bi4EJ7tLFkd70M4+/TTAEx96MEh7/tMfQjgLHaXie2V7K8JUUMAfAkGANFost9gRiQKqDMUVJyOsngNAeAH0Q9T0+Hso/CnbS08+sqjQ5qMmteuBSCYYT/nTPqiztC7yVnug2Aqm3iHnQLdD/85kZPORvKTrs+/xjuanPoQXPFlsavi29Bm+DY/ZB/lEb7xVzU1DTlmaxb5a8IEBL8MxJIdxzPcKfihQAgCTvW3tVGQ4Dmaa0Pc0DGFbZ+6Bdo/lLhG0ZThe62bP0fngf0EwtmtSdQXcQKCd/VSM46JoiqE6p33WlVzM5Hf9SA1NVTVZ7cXRj68fQjZNhnFzX1mB/N+8kJyy9i0b/86MMDFPXtSjg1XQwCY/Y9PDjlW0/l7Gc40ubKAMEaBQHJoabzJKFwVRsSpLfzbqc3UL9jC+4NRqt0OZj7548Q1qql9CCJCYFL2H+7xGoJ3FUozzilE3ncnNvb3c3bHjpTx+YXk7UMYaw0h2NycOuInrXlHBwaIvf9+6kXD9CFA5n2bQ24txPjDAsIYXd+ebBK6fGAQJJBcPE+idF86CkDfYIxwhm87MY3lte9hf8SpoeSzjLepHCIQHQig0QBSW0vs0iW0ry9ld7JCGm6mci7S2/tj/f2J9YkS5wSHDwihWbOGHAtmaEYyubOAMEZRddo8H525ghCABJJLakvqhJvqoPutzjOzKL3JaKw2f2AzK+auyLjJjRmHmtsZDDj9S9Xt7YnDodmzh7nAXyk1hHyHOafVanp/9gqxS9nXECQQoPWxzcz6+j8kT7dZyb6aEKOM/BT/A2kIue23IolvUSKpw+iq3AXwIrFkoEhvMhqreY3z+OqHv5rz9abCTGog8s67AIQ7Oug7fBiAlkc2FuW/99YQ8vkiA0MDyu++9S3CaZPIRupDAJiydm3KF6yqRqsh+CmrV1hEbheRoyJyTEQ2ZXi+WkS+7z7/moi0u8dvE5F9IvJL999bPdcscY8fE5GvSYXMslq/aD3rr1vPytZlzoGUGkLqiImXDp8CYDCWrBbHGGGWpjFpRCTRrBKak6wVBCYVZ9ixdy+RQvyJxtwF6xJGqCGk5MOtbYRnzfQ9TxPZqAFBnLUavgHcAVwJ3CsiV6ad9iBwVlXnA38HPOEePwOsVNVrgAeA73queRJYByxwf26nAtSF6tiwaAPBeKeupw+hfsETnjNj9LnL/KYEBO9+CMaMxvMhHKhJDj4I1BZnlNmM+uRwaD/3FUmkGU5b82uEPgSvKw4fYuGRwxmHoprcZfPJtAw4pqpvqeoA8AywOu2c1cB29/edwHIREVU9oKon3OOHgBq3NtEGNKjqHnXqf/8C3JX33RRToiM5QFtdW4YTNLEombfJCAq/y5UZR9xvwlJTQ/N9axOHi7XEs3dGvB/v25lf+/uUZS1ivRdTTxjD6Cn7O/JfNqU/EzjuedztHst4jqpGgHNA+uI8fwQcUNV+9/zuUdIEQETWiUiXiHSdPn06i+wWSaKZKMANbTewc+XO1Ocl2TSUHhDybYs1E4jbD1U1eTJV9fXUXHttCbOS//u2YcUKGletTDyO9Tr7LdsEs/KQzSucKQynLxs64jkichVOM9KfjSFN56DqVlVdqqpLW1rKaIeweEAIO53LnVM62XOvd5JNjPtvdMZIe5uMwL7ZmOyJ+yEccJe6js/+lSwnMvqaF5+ajLzzCbS/HwIB2p/ZQdOae2wvgxLLZpRRN+Ad4zYLODHMOd0iEgQagR4AEZkF/CvwCVV903O+d1BxpjTLW3yKfbg+cci7mxmifGHVVcDQGoIxWXObUOJ7H7Q9/nnqb7mFSVddVfSs+BUQ0mflSzBIzcKFtD3+uC/pm9xlU0PYCywQkQ4RCQNrgF1p5+zC6TQG+DjwU1VVEWkC/h34K1X97/jJqnoSuCAiN7qjiz4B/CjPeymu+Mbn1cmA4B2RgUQJZBh2CtA70Fvw7JnxYeD42wAEmpxvzoG6Ohrv/OhIlxSMnzXbOd/Zlkw3FBrhTFNMowYEt0/gYeBF4AjwrKoeEpEvisgq97RtwFQROQZ8BogPTX0YmA9sFpGD7k98lbn1wFPAMeBN4Cd+3VRRxP84Lsu8lop4WsDSm4yianshm+xETzvbUU7bWJx5ByPxc5RR3U03EWxtdRO2JtRykdXENFV9AXgh7dhjnt/7gLszXPcl4EvDpNkFXD2WzJaVGYvhY1vhijszP5+hU3lJ6xL2ndpnAcGMWfWCBaXOgu/DpasaGoicOpXoWDalZ8NdciUC192T6FROd3lLcrje2f6zADRVO2OmoyPsGGVMJuXQrOL3YIhg23Rf0zP5s4Dgs03LnNay7Q8uTRz79O5PA8ntL62GYAy0bNhAoLaWeT9+vtRZMS5by8hnDeEGIHMtIL5ktQUEY2DSokV07t9X6mwYDwsIPosvfpfpQ79lkjOPwpqMTLbm7355yBLRxhSKBQSfBdxx494P/aAEuaPjDjoanZUdI2rzEkx2QjNt8TZTPNaH4LNMNYQYMabXTU9sR2g1BGNMObKA4LN4QIipM+w0GosS0xihQGjIc8YYU04sIPgs/qHfO+iMrY43DwUDwcRz1mRkjClHFhB8Fp+8s+HlDUByUpq3hmBNRsaYcmQBwWcXI8767n1RZyeoeEAIBoKJPgRrMjKV5KPzSrN2kik+Cwg+O3PpTMrj+DpG1mRkKtWWD27h4P0HS50NUwQWEHy2ar6z3t/ljZcDaTUEazIyFUhEErVbM75ZQPBZQ7iBW2ffmpiP4A0IcxrmAHDb3NtKlj9jjBmOTUwrgMnhyZzvPw+kBoTpddPZe9/exJpGxhhTTiwgFEBDdQMXBi4AqQEBkusZGWNMubEmowKYHJ7MpcglIrFIolM5JKVfvtgYY0ZiAaEA4iueXhi4MKSGYIwx5coCQgF4A0J8PoI1FRljyp0FhAKoDTm7pfUO9tLT1wNAc01zKbNkjDGjsoBQAPFRRAPRAd7rew+A5moLCMaY8mYBoQDCgTDgzFLu6XdqCE01TaXMkjHGjMoCQgGEq5yA8MbZN/jmwW/SVN1EKGCjjIwx5c0CQgHEA8KW/90CJFdANcaYcmafVAUQbzKKy7S/sjHGlBsLCAWQvjTFl3//yyXKiTHGZM9mSxVAqCrZX7Bz5U46p3SWMDfGGJMdqyEUQLwPAbBgYIypGFkFBBG5XUSOisgxEdmU4flqEfm++/xrItLuHp8qIv8lIr0i8vW0a37mpnnQ/Znmxw2VA1vN1BhTiUZtMhKRKuAbwG1AN7BXRHap6mHPaQ8CZ1V1voisAZ4A7gH6gM3A1e5PuvtUtSvPeyg76Z3KxhhTCbKpISwDjqnqW6o6ADwDrE47ZzWw3f19J7BcRERVL6rqz3ECw4QRqgqxcfFGnlv1XKmzYowxWcsmIMwEjnsed7vHMp6jqhHgHDA1i7T/yW0u2iwikukEEcNbzP0AAAUGSURBVFknIl0i0nX69OkskiwPD13zEAuaF5Q6G8YYk7VsAkKmD2rN4Zx096nqNcCH3J/7M52kqltVdamqLm1paRk1s8YYY3KTTUDoBmZ7Hs8CTgx3jogEgUagZ6REVfUd998LwPdwmqaMMcaUSDYBYS+wQEQ6RCQMrAF2pZ2zC3jA/f3jwE9VddgagogEReQy9/cQcCfw+lgzb4wxxj+jjjJS1YiIPAy8CFQB31HVQyLyRaBLVXcB24DvisgxnJrBmvj1IvJroAEIi8hdwArgN8CLbjCoAl4Gvu3rnRljjBkTGeGLfNlZunSpdnWNu1GqxhhTUCKyT1WXjnaezVQ2xhgDWEAwxhjjsoBgjDEGqKDVTkVkHXBGRH6TRzKNOJPm/OJ3eoVI8zLgjI/pVcI9T7QyrITXZKKVYSFek1zLsCbr61S1In5wRjTlm8ZWn/Pka3oFymPe5VaB9zyhyrBCXpMJVYYFek1yKsOxXDfRmoyeL/P0CpWmnyrhnidaGVbCa+K3ci/Dci+/jCpm2KmIdGkWw6ZMKiu3/FkZ5s/KMH+5luFYrqukGsLWUmegQlm55c/KMH9WhvnLtQyzvq5iagjGGGMKq5JqCMYYYwrIAoIxxhjAAkLFEZHZ7j7VR0TkkIhsdI9PEZGXROQN999m9/hCEdkjIv0i8mhaWk0islNEfuWm94FS3FOx+VWGItLp2RP8oIicF5FHSnVfxeTz+/Av3DReF5EdIlJTinsqNp/LcKNbfofyeQ9aH0KFEZE2oE1V94vIZGAfcBfwSaBHVf9GRDYBzar6WRGZBsx1zzmrql/xpLUdeFVVn3KXNq9V1feKfU/F5mcZetKsAt4BblDVfCZPVgS/ylBEZgI/B65U1fdF5FngBVX95+LfVXH5WIZX42xtvAwYAP4DWK+qb4w1T1ZDqDCqelJV97u/XwCO4Gxh6t3XejvOmwZVfVdV9wKD3nREpAG4GWfpclR1YCIEA/CvDNMsB96cCMEAfC/DIDDJ3VyrlqEbcI1LPpbhFcD/qOoldbYwfgX4WC55soBQwUSkHbgeeA1oVdWT4LzRgGmjXD4POI2zr/UBEXlKROoKmN2ylGcZeq0Bdvidv0qQTxmqs3PiV4C3gZPAOVX9z0Lmtxzl+T58HbhZRKaKSC3wB6Tucpk1CwgVSkTqgR8Cj6jq+RySCAKLgSdV9XrgIrDJxyyWPR/KMJ5OGFgF/MCvvFWKfMvQbR9fDXQAM4A6Efljf3NZ3vItQ1U9AjwBvITTXPQLIJJLXiwgVCB3p7kfAk+r6nPu4VNum2S8bfLdUZLpBrpV9TX38U6cADEh+FSGcXcA+1X1lP85LV8+leFHgP9T1dOqOgg8B9xUqDyXG7/eh6q6TVUXq+rNOLtWjrn/ACwgVBwREZx2/yOq+reep7z7Wj8A/GikdFT1t8BxEel0Dy0HDvuc3bLkVxl63MsEay7ysQzfBm4UkVo3zeU4benjnp/vQ7fDGRGZA/whOb4fbZRRhRGRDwKvAr8EYu7hv8Zpe3wWmIPzR3a3qvaIyHSgC2df6xjQizOi47yILAKeAsLAW8CfqOrZYt5PKfhchrXAcWCeqvq93HHZ8rkMvwDcg9PMcQB4SFX7i3k/peBzGb4KTMXpcP6Mqu7OKU8WEIwxxoA1GRljjHFZQDDGGANYQDDGGOOygGCMMQawgGCMMcZlAcEYYwxgAcEYY4zr/wGo4VhU8kUz9wAAAABJRU5ErkJggg==\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAwQAAAIrCAYAAABRdl61AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAABYlAAAWJQFJUiTwAAEAAElEQVR4nOy9d5wkZZ34/67q7umJuzubI0sulpyTKJKUIAoYMKEY4OSEC3JfPe9+p57p9E698/AQOROGEyMoUQkuS5Jd4rLsUptznJmdPJ2q6vdHVXc/VV3V3ZN7Zj7v12tfO1311FNP5c/n+STNcRwEQRAEQRAEQZia6OM9AEEQBEEQBEEQxg9RCARBEARBEARhCiMKgSAIgiAIgiBMYUQhEARBEARBEIQpjCgEgiAIgiAIgjCFEYVAEARBEARBEKYwohAIgiAIgiAIwhRGFAJBEARBEARBmMKIQiAIgiAIgiAIUxhRCARBEARBEARhCiMKgSAIgiAIgiBMYUQhEARBEARBEIQpjCgEgiAIgiAIgjCFiY/3AARBEIaCYRhfAD4/hE0PM01z6xD2Nw1oNk1z9xD2qfbzZuDPQLtpmrOr3GYrsLRMkyzQBqwBfmCa5i9D+lgOnA/cYprmdwY36kIf1wM/Al4wTfP0ofRRpu/TgI8BbwYOBWLAXuBp4E7TNJeP5P6GimEYy0zTXDfIbRzvzxNM01zjLfsx8GHgm6Zp/sPIjjJ0DDpwpGma65Vlb2aQ96IgCJMTUQgEQZiobMcVFoOcDiSBDcD+kPWpwe7IMIz3Ad8CbgCGpRAMk6hjagEM4BLgEsMw3mia5s1jOrIhYhhGHfBfwE3eogyw1fv/cOB9wPsMw/gJcKNpmulxGCaGYcwHvu2N6YzxGMNQMQzjdOB7uML/qCsfgiBMPEQhEARhQmKa5g+BHwaXK7PpXzVN88cjtLt/A+aPUF/DIfKYPAvGt3Bn2T9pGMbvTdN8RGnyIaARd9a9JjAMIwE8BpwH7AO+APzQNM2Mt74OuBH4Gu7464Frx2WwcCnwHuCFIWy7zPt/88gNZ1DcDJyKqxCorMQdW27MRyQIQk0hCoEgCMIkwDTNbsMwbgLeABwDfBx4RFm/fbzGVoZ/pagMnG+apqmu9BSD7xiGsQF4GHiPYRj/Z5rm78d+qEPHNM3Xx3sMYZim2Q/U5NgEQRhbJKhYEARhkmCaZhZ3xh2Ks9I1iWEYhwOf9n7+Q1AZUDFN84/A/d7Pvx3tsQmCIEw1xEIgCMKUwzCMU4FbcQNY5wBdwLPAf5um+ajS7nrcINo89xmGAfCRvOuOYRgxPD93XLeMWbhxCpuB3wPfMk2za1QPyI/t/a+pC6OCij3B/LPAxcAioB8wgd8A/+PNIpfFOwe/Aq4BduLO9ldyj/kwbuDwbuAXFY8K/gW4E3gyZP9H4frGvwVYCPThuvbcaZrmr0PaO16bFlwXq09QdJ1ZCfy76m4VCOo+zdt+m2mahxqGcSiwBXgN16XoB8ApQAeui9d3woKKA+M5C/gScA5geWP4T9M0Hwq0u54yQd2GYdwM3AY8YZrmm5Wx5bnVMIxbgbtM07y+XFCxYRj1wF8D7wWOxZ1A3Azcg3tPHwy0/zHuNX03bqzL54A34Z7jzcDPcAOoxyUGRBCE8oiFQBCEKYVhGH+NK3C9H2gAXsbN0nMl8IhhGP+uNN+HG7icF2LWer/3eX0lcGeufwpcjitkvoIrVJ+EKxSt8HzhRx1vP1d6P1dV0X4Z8Dyue9F04FXcGIMzgH8HHvOOsVwfGm4sxzW4wv0FVSgDABd6/z9hmqZVqbFpmi+bpnmfaZqdgf1fhXvObwRmA6uBblwF51eGYfyfp7CEcSfwv7iBwq/jfhMvBv5oGMY1SrtVuEIuQC/uPRA8v9OBPwLH494nM4BqshG9CViBq5yu9/q/BHjQMIx/qWL7cqS8seYD0Xd5v9dHbgEYhjEHeA74Jm6Q/nZcJdEA/j/gZcMwjonY/ELc5+tK3HtpH66y9RVcpVEQhBpEFAJBEKYM3ozod3Dfff8EzDVN80zcmfEP4wr+/88wjI8BmKb5kGma51EMxP2MaZrnKTO3n8ANNt0HnGSa5pGmaZ5hmuZ83NliGzgRuGoMjm0+7kz7obgZev6zis2+CLTiZs+ZZ5rmaaZpHgOchpvG9GzcGeJy/DduwO9e4ELTNDdWOeS8QFkyY14thmEcjXvMDbgz4/O8838ocBnQiWu5+ULI5k3AR4BbgNmmaZ6Gex88gWtd+XK+oWma7wa+WvxpnuctU1kMDABHmKZ5qvf78SoO4wxcpfRwbwxLvDE5wL8ahnFuFX2EYprmXu/+zd+vd3tj/2q57YBf4t63a4DjTNM81jTNU3CtJI8DhwB/8KwIQW7CjV1ZYprmCaZpLqXo5vV2wzDOHOrxCIIweohCIAjCVOJfcIW975mm+W+maeYATNN0TNP8CfCPXrsvlplVVrkQ18Xj86ZprlZXeK4q+awux47I6OGfDMN4KvDvL17Q7W7cWfpe4P2mab5aRX8neP//2Is/yI/9JdwaD7+lTJpWwzC+ipvBZj+uMhAZBxDCDO//9kFsE+QzuJmHHjZN829U9ybTNB/GFfjBdZWZFbL9/5qm+R3TNG1vm27cGXCAZV7mpsHwDdM093t9dZim6VTaAOgB3mGa5k5vO8dz6foh7r166yDHMCwMw3gjcAHudX+bWnPBq8FxFa5b2FEUz69KB/Bu0zT3Kdv9N7DJ+3n26IxcEIThIAqBIAhTAsMwmnHdMwBuj2h2J66VYCFuPEBZTNO8Gnd2+gch+4vhCnvgpvscCY7CzSKk/jsLOBLX7eSzuMWnfltlf3kh7buGYZxvGEYhrsw0zdtN03xXmA8+gGEYn/H214WrDAyqWBeuWxUML5btcu//0Otpmua9uO4uDRRdlFQeDNtM+XuwCsGzg2wPcK9pmmGpYPOxK5dUqZyOFFd4/z9omua24ErTNHsoju1tIdsvN01zIGR5/rwO9pwKgjAGiEIgCMJU4XBc4TOLGwBaQiAN49HVdOrNrLcYhvF2wzA+bRjGHYZh/Bl3pvQqr9lIvWs/YpqmZpqmhnsspwH5IOiFwB/Vmdkq+CLuTPDZwHKgzTCM3xmGcYNhGPPKbHcsbm0AgGaGpvDkheAhVcj1Zu/ztSFeKtM0vy7seu4KWaYKs4MVxPcMsj247kJh5O/RFmDBEPodKvnzVO6cvhhoqxJ2TqF4XsdSuREEoUpEIRAEYarQ4v3fl3cRiaA30D4SwzDqDcP4Fq4Lxe+BrwN/hSuoP4sb7DoqmKZpmab5Iq6v/OO41oM/eX711fbxHK4l5Oe41ozpwNW4lpJdhmH8zDCM6SGbNuD65z+KK+B9X7UuVEk+sPW4ahobhpE0DEN1vVKvT0+wvUK565mpsFutwvogg66CTXF85ZaPlIWpGvLnqVbOqSAIY4AoBIIgTBXyQkyTYRjl3n15AThKUFP5AfD3uAGg/4abWeVIYIZpmpfiZpsZVbw4iA/gBgHPxs2sU3VWI9M015mm+UFv2zfjpr98EVfQ/wDw45DNenAz4bwfOIgbgPrpkHbleMD7/4IK1yPP+cBrhmHsMQxjNv7rU84NZTDXczxoiliuCtudgXVRQvVIKA758zSRz6kgCINEFAJBEKYKm3ADgBO4qSFLMAyjCTe1IkDZbDmGYSzCzWADcIVpmv9kmub9pmluUiwQi4c/7Mp4Puh/4/08iWJgbCSGYeiGYRxuGMb5Xh8Z0zSfME3zc162m495Ta/y4i9U1pum+bxpmgdwA3sB/mUw1gngD7juW7OB66pof6P3/27TNNu82g55t6NTwjbwUqLm11Wb/WisiTpnJ3v/H8gHKuPWSQBIRmwzEq5FeV//0HPqcZr3f62eU0EQBokoBIIgTAlM0+zFTSkJbmrEMG7EVRjacQtb5Qkr9rVU+V3ib+3l+D/H+znqRSBN0/wF8LD389NVCOfzcQW6xw3DWBiy/lHl73J+398HnsHN9nOnJ4RXM97dFIOx/80rLhaKV2vgnd5PNWVmPig46npehZtKNEsx49NQCS34NgJcbRhGmOtN/pgeUJbli4EtDab89Fy2LiecwYw9v7/LDcNYGlzpjfVD3s8/VdGfIAgTAFEIBEGYSnwJVzj6K8Mw/jHv924YhmYYxnW4bj8An1PTcFJ0jVAFpI0UBa3PqplgvHoHD1JUBMLytY8Gt+BmSUoSnUkJKAjky3G/Az9XlQJP6Mufi2fKVVr2Umt+Anf2+nzghkGM9zO4QdwLgKcNw/io6u5kGEaTYRifBu72Fv0ikEHpP3CDVS81DOPbhmE0KtteSlHh+K9BBluHkb8HFoxwobl5wC8Nw5gBbnYqryDZu3FjEr6utF2Ja+VqBr6Sv+e8OI8fEG1tCLt/QzFN80lc5SkJ3K8WIPPukXtxlazNuEXdBEGYBIhCIAjClME0zeW4RZLyPv/7DMN4Djczyk9whaD/Mk0zKEznawx80zCMFwzDuN5z4/iOt/wfgd2GYawyDGMXrkC1GDcVKLgZgEYdryhYXoC8yDCMD1TY5GO41pA3A1sNw1hrGMbLuDUN3o+bKenGyK2L+32VYiG0fzcMoyrXFS/v/0XAX4A5uELtQcMwVhuG8ZI3tq/jXpcf4RaPU7d/HfggruD8N7jXc6VhGFtxi3G14lbH/edqxlOBNbj3zQJgg2EYT41An+AGo78V2GkYxvO49+IXcRWsj3jHCIDnovVt7+envG1e8Lb5AEoxtQD5+/edhmG8ahjGbRXG9H7cqtXHA2sNw1jjXY9tuOlbtwFXeylIBUGYBIhCIAjClMIr+nQ27qxzGtdX2sYtwnWRaZp/H7LZrbiCWxo3xiAfZ/B3uELqSlxXoxNx3VN+jlsfIC9Mnx/hFjIa/Bvu7C24CsyMqIamaW4BTgfuwBXyDsedZd6FK+AfZ5pmaIrWEL7g9TEd+J9qB+tZKt6AW9n5d7jB0UcDy3DTeP4MeKNpmh8NWG3y2/8O19/+B7gKzEl4xcqAd5qmeW3YdoPFNM31wMdxY1HmA0dUSM1aLfcDb8FNP7oMqMO91842TfPukPb/4I3jedxzfTiupecNuPdwGD/GvZ77cbNRnVRuQF5Mytm4geIv4Va/PhI3SP5fgFOChfgEQZjYaI5TTSFFQRAEQRAEQRAmI2IhEARBEARBEIQpjCgEgiAIgiAIgjCFEYVAEARBEARBEKYwohAIgiAIgiAIwhRGFAJBEARBEARBmMKIQiAIgiAIgiAIUxhRCARBEARBEARhCiMKgSAIgiAIgiBMYUQhEARBEARBEIQpjCgEgiAIgiAIgjCFiY/3ACYzhmG8BBwG9AIbx3k4giAIgiAIwuTlSKAZ2GKa5imD2VAUgtHlMGC692/ROI9FEARBEARBmPwcNtgNRCEYXXqB6S0tLSxbtmy8xyIIgiAIgiBMUtatW0dPTw+48uegEIVgdNkILFq2bBk//elPx3ssgiAIgiAIwiTluuuuY+XKlTAEN3UJKhYEQRAEQRCEKYwoBIIgCIIgCIIwhRGFQBAEQRAEQRCmMKIQCIIgCIIgCMIURhQCQRAEQRAEQZjCiEIgCIIgCIIgCFMYUQgEQRAEQRAEYQojdQgEQRAEQRDKYNs2HR0d9PT0kE6ncRxnvIckTFI0TSMej9PY2Mi0adNobm4ek/2KQiAIgiAIghCBbdvs2LGD/v7+8R6KMAVwHIdsNktXVxddXV3MnDmTuXPnomnaqO5XFAJBEARBEIQIOjo66O/vJx6PM3/+fJqamtB18bgWRgfbtslkMvT09NDe3k5HRwf19fVMnz59VPcrd7QgCIIgCEIEPT09AMyfP5+WlhZRBoRRRdd16uvrmTNnDvPmzQPg4MGDo7/fUd+DIAiCIAjCBCWdTgPQ1NQ0ziMRphrTpk0DIJVKjfq+RCEQBEEQBEGIIB9ALJYBYazJ33NjEcQud7cgCIIgCIIg1BijHUisIgqBIAiCIFTAcRx6+jKSblIQhEmJZBkSBEEQhAr88emtrN3UzrLDZ3HZGw8b7+EIgiCMKGIhEARBEIQyWLbN2k3tAKzb3C5WAkEQJh2iEAiCIAhCGVJpy/db9AFB8LNhwwauv/56TjvtNE466SSuu+668R6SMEjEZUgQBEEQypBK58Z7CIJQ09x0003s2LGDww8/nKOPPprDDhO3uomGKASCIAiCUIaBgELg4ABjl/1DEGqZjo4OduzYQWNjI/feey/JZHK8hyQMAXEZEgRBEIQyDKQCFgJxGRKEAplMBoDW1lZRBiYwYiEQBEEQhDIEXYZEHxAEl+uuu46VK1cCsGvXLgzDAOCxxx5j8eLFvPjii/zgBz/ghRdeoLe3l7lz5/KmN72JT3ziE8yfP7+kv927d/O9732PJ598kv3799PS0sLpp5/ODTfcwIknnjimxzbVEAuBIAiCIJQh6DIkCILLueeeyyWXXAJAY2MjV155JVdeeSWNjY38/Oc/5wMf+ACPPvooS5cu5cILLyQej/OLX/yCq666itdee83X1yuvvMLb3/527r77bhKJBBdeeCFLlizhT3/6E+9973v5zW9+Mx6HOGUQC4EgCIIglKHEQiAmAkEA3GDivXv38sgjj9Da2so3vvENANauXcuXv/xlkskkt99+O+eeey4Atm1z++23c9ttt3HLLbfw8MMPU1dXRyqV4uabb6anp4dbb72VG264oVCl94knnuCWW27hC1/4AieccELBCiGMLKIQCIIgCEIZBgJpR8VpSAjyyM513Lf9VdLWxLEmJWNxrjzkBC5ZvGzE+/7pT3+KbdvcdNNNBWUAQNd1br75Zp577jlWrlzJgw8+yFVXXcVDDz3E/v37Oe+887jxxht9fZ1//vnceOON3Hbbbdx111189atfHfHxCuIyJAiCIAhl6RvI+BeIPiAEeGTX6xNKGQBIWzke2fX6qPS9atUqAC677LLQ9VdccYWvXf7/Sy+9NLT95Zdf7msnjDyiEAiCIAhCGXr6sr7fog8IQS5ZdAzJ2MRyukjG4lyy6JhR6Xv//v0ALFq0KHT94sWLAWhra/O1zy+v1F4YeSbW3SsIgiAIY0xvf6ZyI2FKc8niZaPiejNRcSoE2liW64ZXV1dXVXvbtn3thZFHLASCIAiCEMHetj7SGX8MgQQVC0J55s6dC8DOnTtD1+eXz5o1q6r2O3bs8LUXRh5RCARBEAQhhGzO5v8eWDfewxCECccZZ5wBwMMPPxy6/qGHHgLgzDPPHFJ7YeQRhUAQBEEQQli3qT1ijZgIBKEcH/zgB4nFYnz3u9/l2WefLSx3HIfvfOc7rFq1ikWLFnHBBRcAbvDx3Llzeeqpp7jzzjt9LkQrVqzg+9//PolEgmuvvXbMj2WqIDEEgiAIghDC/o7+0OWiDghCeY4//ng++9nP8pWvfIXrr7+eU045hXnz5vH666+zdetWZs6cyX/913/R0NAAQENDA9/+9re58cYb+eY3v8lvf/tbjjnmGPbu3cvLL79MPB7n85//PMuWSZzGaCEWAkEQBEEIIRg7UEA0AkGoyHXXXcfPfvYzLrjgArZs2cLjjz+O4zhcf/313HvvvZx44om+9qeeeir33HMP73nPe0in0zz22GPs3r2bt73tbdx999285z3vGacjmRqIhUAQBEEQQkhnw/PKiz4gCEXmz5+PaZqh604//XROP/30qvtasmQJX/rSl0ZqaMIgEAuBIAiCMOWxbYfte7rp6kkXlomFQBCEqYJYCARBEIQpzwtr9/LkC7uI6Rofe+cJNDfWRSsEohEIgjDJEAuBIAiCMOV58oVdAFi2w+r1B4BoC4GoA4IgTDZEIRAEQRAEhZzlivypTDGGIB5TPpeiEQiCMMkQhUAQBEGY0mSyfktAPKaRs2wsTzHQNY1Eovi5FH1AEITJhigEgiAIwpSmUwkkBtdVKKO4CyXrYmhjPShBEIQxRBQCQRAEYUrT2Z3y/+5J++IHknUx33q1iqogCMJkQLIMCYIgCFOaoIVgy84uWqfVF37XJ+Nkc/ZYD0sQBGHMEAuBIAiCMKUJKgQAL67dV/h76YJpvnViIBAEYbIhCoEgCIIwpekKUQhUjlraOkYjEQRBGB9GzGXIMIyLgX8CTgISwAvA103TfHgQfRwN/CtwHjAL2Aj8L/A/pmlWtNcahnEH8FfAR0zT/HHI+gbg74APAocBncADwOdM09xT7TgFQRCEyUOYhUBlWksdmkQVC4IwiRkRC4FhGNcDjwDnAs8BzwJvAB4yDOPGKvs4CVgFvBfYBjwMLAH+G/hJFdtfhqsMRK1PAL8Hvgq0AA8CHcDHgRcNwzikmnEKgiAIk4u+/mzkOk2DZEKCigVBmNwMWyEwDGMhcAfQBZxumublpmm+FVch6Aa+bRjGogp9aLhC/zTgOtM0zzNN8xrgaGA18AHDMN5ZZvuZwA8qDPUW4BJci8BRpmm+CzgB+DdgPvA/FQ9WEARBmHTYZQT8hmQcTdPQxEQgCMIkZiQsBDcDSeA/TdNck19omuYq4OtAPVDJSnAJcCKw3DTNnyl9HABu8n7+TZntb8d1MXoubKVhGDrwKdx6Mjebppn2+neA/w8wgbcZhnFYhXEKgiAIU4iG+lLPWrEPCIIw2RgJheBS7/97Q9bll1021D5M03wG2A+cZxhGS3C9YRjvA67FjT1YE1zvcTywCHjFNM2tgf5t4A9VjlMQBEGYRFRy/6lPugqB2AcEIZrbbrsNwzC4/fbbx3sowhAZlkLgufocC9jAupAm6711x3ltozjO+z9KoDdxx3psYP8LcV19nsO1Rgy1/9e9/08o04cgCIIwyagUDtCQDMm9ISYCQRAmGcPNMtSK6y50wDTNTHClaZo5wzDagLm4gbzdEf0s8P6PyvSTXz4vsPwHuC5JHzZN0zIMI2qcQ+2/BC+A+vpK7TxOrrKdIAiCUIMUXIaUKS3RBwRBmGwMVyFo8v7vL9NmwPu/mWiFoFI/ah8AGIZxE66r0d+bpmkOc5wl/ZfhUOD8KtoJgiAINU4ll6HG+gQQcBmSLEOCIEwyhqsQWN7/1bwdy7knVduPDmAYxpHAfwArgG9Xse9B9V+BrcATVbQD10Iwvcq2giAIwhhT6aNQLEpWVAlEHRCEaO6//37uvPNOtmzZwuzZs3nrW9/KTTfdxPTpRXEol8vxm9/8hgceeID169fT29tLc3Mzxx9/PNdffz1vfOMbC22fe+45PvShD/HRj36UuXPn8r3vfY9UKsXZZ5/NHXfcMR6HOCkZrkLQ5/3fUKZNfl3vMPop9GEYRgy4C/edfL2XKWi446xmjAB4Bc9+XMU+MQxjOWJNEARBqFnUyf5YTMOyigtmTa9n7sxG94dEFQtCRe677z42b97MUUcdxQUXXMArr7zCj370I5YvX87dd9/NjBkzcByHT37ykyxfvpzW1lZOOukk4vE4pmny1FNP8fTTT/Od73yHiy++2Nf3448/zrZt2zjnnHPIZrMccoiUjxpJhqsQdOMK27MNw4ibpplTVxqGEQdmAynTNDvL9LMbdzZ9PsUAXxU1BuBq3AJom4EvBeIGzvb+v9GrnPw70zR/5/WP138YlWIMBEEQhMmIohFoaKjz/40NCWWdus3oD0sQJiKbN2/mk5/8JH/zN26m+HQ6zac+9SkeffRRvvWtb/HFL36Rhx9+mOXLl3PKKafw4x//mPr6egBs2+ZrX/sad911Fz//+c9LFIKtW7fyz//8z3zoQx8qtBdGjmEpBKZpOoZhvAaciVtEbG2giYHrhvNqha7WAJfjZhFa7uvAzU50DK7bz1pgmbfqcO9fGOd4/zYCv6OYXejYiPb5PiuNUxAEQZhEqLJ9sPZYsk6pUCxBxUIZ7Of/iPPs7yGbHu+hVE8iiXbOO9BPf+uIdXn44Ydz8803F34nk0m+/OUvs2LFCn7/+9/zj//4j9i2zYUXXsjHPvaxgjIAoOs67373u7nrrrvYvXt3Sd91dXW8973v9bUXRo7hWggAHsZVCK6iVCG4yvv/wSr6+LTXPpjE9lxgDvCEaZo9uO46Pw7rxDCM7wMfAz7iufYAYJrmOsMwtgGnGoaxxDTNHco2OvB23Hf8HyuMUxAEQZhEqC5DQYWgXkk56l8lKsF40t2bpqkhQSxWOwKh88IfJ5YyAJBNu+MeQYXgsssuKxHUW1tbOfnkk1m5ciVr1qzhiiuu4IorrvC16e/vZ+PGjaxYscIdWjZb0vfhhx9OXV3diI1V8DMSCsGPcIX5zxiG8UfTNF8AMAzjdG/5AIqQbxjGEUAC2GOaZpe3+AngNeASwzBuME3zf722c5RtvznMcX4X+BrwA8MwrjZNMx9X8CVc68bvTNPcNMx9CIIgCBMIx28j8K3zWQjUoGLRB8aNl1/fz+PPbWd6S5LrrzqOWI3MEmunvXViWghOGzllAGDRokWhy+fPdz229+/fD0B3dzd33303Tz75JJs3b6atrQ0ALaiVK6hBycLIM2yFwDTNrYZh3IpbIOxZwzAe91Zd6PX/IdM09yubPAYsBT6CN9NvmqZtGMZHvXV3GobxMVy//zfj1jr4X9M07xvmUP8TeBtwCbDBMIxncF2ajge2ATeX2VYQBEGYjJSxEMye0RC5ThgfHn9uOwBdPWnWberg+KNmj/OIXPTT3zqiM+0TFdUFKIx4PM769ev58Ic/TEdHB7Nnz+aEE07giCOO4Nhjj2Xp0qW8853vDN1WXIRGlxE5u6Zp3g5cCfwFOA84A3gKuMQ0zZ9V2cdK4Czgt8BRwFtwBfVPADeNwBgzwFtxLQL9uMpBM3AncI5pmhJQLAiCMMUIzva/9Q2Housa82Y1suzwWVVtI4wPqXSuciNhTMlbAILs2rULcC0FX/rSl+jo6OCTn/wkTz31FHfccQf/7//9P6644goSiUTo9sLoMxIuQwCYpnk/cH8V7Q4ts24t8K5hjOHjwMfLrO8HPuf9EwRBEKY4qsuQpmkcd+RsjjyklbqE7nNfEAOBIFTm6aef5iMf+Yhv2b59+3jllVdobm7m2GOPZfXq1QB84hOfKHERevrppwHJIDQeiP1FEARhCmJ1p+h6aD19L5Zm85hShLgMJetipb7MvixDYiKoCURLqzmefPJJfvnLXxZ+9/b28ulPf5pcLsf73vc+6urqCvEEjz32mG/b5cuXc9tttwFuulJhbBkxC4EgCIIwMXAch45fv4bVMQBr9pM8dAbxfAGuKUZ0SHEQyTtaa4g+UHucfPLJfO5zn+PXv/41Cxcu5Pnnn6e9vZ3TTz+dW265BYDrr7+eL3zhC/z93/89P/vZz5g1axabNm1i48aNLFiwAE3T6O7uJpPJSFahMUQsBIIgCFOM7J5eVxnwyB1MjeNoxhfH8bsMRSFBxYJQmQ996EP867/+Kz09PTz++OM0NTVxyy238MMf/pBkMgnA+973Pv793/+dY489lnXr1rF8+XJs2+bjH/849957L2eddRa5XK6QglQYG8RCIAiCMMXI7e/1L7Cn7pT3UAKEp+7ZEoRwbrnlloIFAPAVEAvjHe94B+94xztC1333u9/1/T7rrLMwTXP4gxTKIhYCQRCEKYaT9QfsOTkJ4IPyVgDfKtEIaoJyFh1BEAaHWAgEQRBGmMyOLnqe3kZ8ZiMtb1yK3lBbqfScnOX/ncrRt2onxHQaT16Apk8dQatalyEJKhYEYTIjCoEgCMII07NiK9ndPWR3dGP3pGl953FD7stO5eh5Yit6fYzmNx46IsJ60ELQ//Iecm39AOgNCRqWzRn2PiYK1QYVaxLCKgjCJEZchgRBEEaY7O6ewt+ZHV3D6qtv1U4GVu+lb+UuUmvDi/4MlqCLUF4ZAOh+ZOOI7GOi4FSfZkgQBGHSIgqBIAjCaDJMP+e+v+ws/N3z1LbhjgYAJ2tFr7OmmDuM6jJUpUYglYprBFHgBGHEEIVAEARhmJQNyh2Gi49j+fu1ezIcvGdtWYG+qn6zZcY7xTIO+QwE5UIIRPisOeSSCMLIIQqBIAjCMOj+8xb2/eczdD+yKbzBMKSWXHt/ybL0xg7S2zqH3ikVFJipphAMwWXIERNBjSAqgSCMFKIQCIIgDBGrJ03/87sANzDXzpTO3A8nNaIT0h+4gcbDoVKa0a6H1tP+f6t9sQWTl8G7DAmCIEw2RCEQBEEYIimzzffb7suUzh4Px2UoarZ+mLP4lVyOBtbsJ7urm84HTDK7e7AHssPaXy2jXq7yLkPFlWIfqA3EjUsQRg5JOyoIgjBE0ps6fL/t/iyxaUl/o+G4l0QJ/kMM/E1v72Tg5b1kd3ZX1T63v4+On7+C1hBnzo1noNfFhrTfWsanEFS90WiMRBAEYfwQC4EgCMIQcLIWmV1+wdruy5QEAkfO8ldDxLbBfVTLwV+uKbFqVIMzkGNg9d4h7bPW8RUZKzPlLLPRgiBMZkQhEARBGALZfb0lM/V2XxZyASF+GAqBHSH4j0dqULt/kroNVeky5N9ETAS1gOhogjByiEIgCIIwBOy+UgHZ6i+1EAxLdtyzNXz5ECwEw7JUUDnuYKJSfaXiiI2E8UM0AkEYMUQhEARBGAJ2ujTTj92XLZm9H44g7vT1hC8fQp+VMgtV3L5c7YIJjBoEXjYjlAQV1xySFUoQRg4JKhYEQRgCTkjqT3sgWzp7P5yZeS1izmYoMQRDjDvIM1yFolapNuZbLASCEM2GDRv4yle+wquvvkoul+PEE0/kpz/96biN53e/+x2f/exnQ9clEglmzJjBMcccwzXXXMPll19eWHfhhReya9euqvdz9dVX87WvfY2dO3dy0UUXVb3dT37yE84666yq248FohAIgiAMgdBaAJZd6jI0HAtBhBF3KDEEQw1ELmw/SV2GVKqPIRBqAjEQ1Aw33XQTO3bs4PDDD+foo4/msMMOG+8hATBr1izOPfdc37JcLsfevXt56qmnePLJJ3n11Vf5zGc+A8DFF19MR4c/e9wzzzxDe3s7p5xyCosXL/atO+WUU0r2eeWVV1Yc1+zZswd7KKOOKASCIAiDJL31IH3P7SxZ7lhOqLDuOM4QC5TphIqfQ1EIgsHOEcRaG7AODoRsP1ktBNW6DPm2GrXxCMJEo6Ojgx07dtDY2Mi9995LMpmsvNEYccQRR/CNb3wjdN3TTz/NjTfeyA9/+EPe9ra3cdxxx/FP//RPJe2uu+462tvbec973sM111xTcZ9R+6t1JIZAEARhEKTWt3Hw16+FrnMsO9w1Z4hWAscnhRb7dezRcxmacdUx4WOZtDEE1bVTr8RwSksII4cYCGqDTCYDQGtra00pA5V4wxveUHDzeeSRR8Z5NOOPWAgEIYStu7po6xzg+KNmU18nj4lQpG9VGf9SywmfibcdGEpNL6co8mjkcKhzFw/JQlBZoG88eQGJ2U00njqX/hf3+7ef6i5DUohAEEq47rrrWLlyJQC7du3CMAwAHnvssYJ7zYsvvsgPfvADXnjhBXp7e5k7dy5vetOb+MQnPsH8+fNL+ty9ezff+973ePLJJ9m/fz8tLS2cfvrp3HDDDZx44okjOv78GINuQlMRsRAIQoCDXSl+9+gGVjy/k6dfrD64SJgahKUbzeOExRDgd0sZFEpfGrnQ5dViV6EQtFx4GM5AD6x+rGRdbn8f++9YRWpj+6D3XctU6zIk6kANIhdl3Dn33HO55JJLAGhsbOTKK6/kyiuvpLGxEYCf//znfOADH+DRRx9l6dKlXHjhhcTjcX7xi19w1VVX8dprfmvrK6+8wtvf/nbuvvtuEokEF154IUuWLOFPf/oT733ve/nNb34zouPfuHEjAAsWLBjRficiMvUpCAFeXLev8Pcr5gEuOnvpOI5GqDXKzrRbToTL0BD35XM1KioEQypMlq1cWEyL6djP3ItmlcYQANg9aTrvXcf8fzhv8PuvUaqtQyAIQik33XQTe/fu5ZFHHqG1tdXnP7927Vq+/OUvk0wmuf322wvBvbZtc/vtt3Pbbbdxyy238PDDD1NXV0cqleLmm2+mp6eHW2+9lRtuuKGgpD/xxBPccsstfOELX+CEE04oWCKGw/33388TTzxBLBbj0ksvHXZ/Ex1RCAQhgPgHC+VwctGuM66FoPQGsg4OQGsDev0gX7mWTd6Qq1oIdvUcJJFN05yo3l/XSVdXadjp3O+3RpQ0qHqXEwJnCBqBvCNqg1qqQ/D8a3t59uXdZCdQ8H0irnPOyQs5/bhSt52R4Kc//Sm2bXPTTTf5Mv3ous7NN9/Mc889x8qVK3nwwQe56qqreOihh9i/fz/nnXceN954o6+v888/nxtvvJHbbruNu+66i69+9atVjWHTpk38wz/8g29ZOp1m/fr1bN26FYBbb711RLMiVVJWLrroIm6//fYR299IIQqBIARwJpvEI4woqoWg3phNYtE0eh7f7K6LsBC0/+wVtITO7I+dRqxlEEK8YiFQhfTOgT5+sXEVNyyLnqkfyGX43rqnyNgWHz/mXBoy6ZBWRYVDb0y4i7IZNCZ/vECeql2GajzLUMpsI7O9i8bTFxJvbRjv4Uw5Xnht34RSBgCyOZsXXts3agrBqlWrALjssstC119xxRWsXLmSVatWcdVVVxXaR83WX3755dx2222FdtXQ3t7Offfd51tWX1/PrFmzuOyyy7j22ms555xzqu6vGiqlHT3++ONHdH8jhSgEghBAZv8mP47j4GQs9OTgXoGO4/hSfk6/0sDuyxYUAnLhFgJws/T0/HkLM94ensUnFNsmH42sKgQxR+P5tu3cUGbT3215mXWdewH4v42r+FhmcUmbGfoDdNrux2v65Ue7CzMpV/idgs9BtfPNtfaOsHrSdP7hdQCybX3Met/IBl7WKrUU533acfMmpIXgtOPmjVr/+/e7iQkWLVoUuj4f0NvW1uZrH8z1H9W+Gs4888wxL5A2UdOOikIgCAFq7WMvjCxOzqb9/1aTO9DH9LceScPxg/ggqh/7uI6maWixolTi2E7ZAmDZ/X2DG6wVbiGI2ZUloefbtgEwry9B/d5urDl+C0GCvSS0Nlr136K/6/+RWNrqDTKDNoXyTajPe/kyBDUkfQZIbzlY+Du7s9u1LGkV6ioII8rpx80ftZn2iUqlZAqW5Voi6+rqqmpve+mW8+2FkWXqvPUFoVpEI5jU9L+0h9y+XrAduh7aMKhtVXchLe69PmPKa9Sy/UpDAHugOj/+wv5UlyFNtRC4//dmU5HbWo5DMqfx0bXzeNvWmfSuOuhb36KvACCudROvd8flOA507Ucjepz6tImTZ7waqs4ApcjWtf6GOHDHKtp/8jJ2pkwsiCCMMnPnzgVg587SIo7q8lmzZlXVfseOHb72wsgiCoEgBKj1j70wPFKbhp42M0wh8FkIcnbZLEROapACWkQMQcyrT7C3vydy07o0vHnndOqt0td8vbaOmKZYK1Lu385Tv/P25VcINF35PYkfkKpn1GvtHATc1Oy+DLn9ffStlLTJwvhxxhlnAPDwww+Hrn/ooYcA161nKO2FkUUUAkEIMOSc8cKEILund8jbqtV6CxYC3T91bPWEBe8OcX9RCoHnMnQwHe6C5DgO16+Zw7l7p4WuLwkazqZxOg/grHrQWx9QCOxM8ccQqy7XKlW7DPkuc22dAzsVbtHJHRiki9oEQzyiapsPfvCDxGIxvvvd7/Lss88WljuOw3e+8x1WrVrFokWLuOCCCwA3+Hju3Lk89dRT3Hnnnb5v8YoVK/j+979PIpHg2muvHfNjmQpIDIEgBJhk8o4QRJ3lTw6ufLCacrRgIdA0iGmFWVqrM9qNB1whX9MrSzJOzibXq76iS12GOjPh9QJy7f3MTiUi+w4qBE42jXZgu7I+oBCoaUgnmcJca8L9ULAHwi1PekP0PTA5EI2gljn++OP57Gc/y1e+8hWuv/56TjnlFObNm8frr7/O1q1bmTlzJv/1X/9FQ4ObFauhoYFvf/vb3HjjjXzzm9/kt7/9Lccccwx79+7l5ZdfJh6P8/nPf55ly5aN85GVJ5jmNIwzzjij5hQbUQimMKlMji07u1g8r4WWJgnSKTDJBB6hSND6M1iByecylCgaWLWYjuMFyOUqKQSpHFpj+f06jkP7T14m11dsF+YyFKUQVCbEQpAqziYH6xA4ijF50lnQfBaCcpWKazeIwO4PtxAMuu6FIIww1113HcuWLeP73/8+L730Eq+99hoLFizg+uuv56Mf/Sjz5vmTOpx66qncc8893HnnnTz55JM89thjtLa28ra3vY3rr7+eE044YZyOpHqCaU7DiMfjohAItcMfn9rKph2dTG+u4yNXn4BexazlVEAsBJMXJziTOkifA19xr7iiEMR1nIwrZNvd5V2G7HSumPM/gsz2LnLt/f6hKkL69Eyc96yfzZbZ/cFNXSpUMg5zGWKgGI8QPC0OSiDxJHtAfC5D5RrWrj4QGayuNcgnXhh95s+fj2maketPP/10Tj/99Kr7W7JkCV/60peGNaZrrrmGa665Zlh95KkmbenixYvLnoOJgMQQTFEcx2HTjk4AunozHOwuP6s5lZh0M6BCgRLBaRDCbfrZVQzcc3/htxZX3I0GoUzbVQQWO+nSNsFZ++M6GmnZkSlpB5QNbHYJsRC0744eD4oFceKkWa8K1WWovIXAt1FNEakQJAbnEjfRkBgCQRg5ZPpgipLK+AWCXJnc6VMN0QcmL0HXimqVv97ndtL7VBo4orBMi/tdhqqlmkxDToiiElQIAJJd4X2pwc9hlMQQbF8HO4OzW8Uqxr62k+wBGcrh1FLcgeM4FeNWJgvBe2+S3YqCMK6IhWCK0tvnn1lMBxQEQZiMlPhaV2EhcLIWvSu2lixXFQLiI2shCJM31ToEebr0KAtB+ec5pnX7F5QoA6ATEZ8wyaQw9WjKZxmqzelouy+Dk4643pPrUk22W08QagpRCKYovQHBKGgxmMpMthlQochQFAKrJ1zo9lkI9JG1EISPK4eGfyw9eg7bKbUGONnyz3Ocg2XX0zSdem194Wcd2yqMbQLjVOcyFLHJuJNri4gjgdoa6AhQS5YZQZhsiEIwRenpD1gIQnyWpyqT7BsqeDiWTd+Lfj/5MNcclczubg7+Zk3oulxHcQZdG4SFoPuxTRUF9rAYAA27NB2oAwO5QEag9ACZPz9Qtn9dKxP4fOgJ0DyDRm01SW0TCXbRrK9UdjC5lGb1SHrKVH6uVXLtxfswsaDZv3LyXCaXkuOZbAcoCOOHKARTlN6AQiAWgiL2JBJ2hCLdj27C6gi4wVRQCA7++jWsrnDhObGwpfhjEDEEONB5f9FF5/FdJn/3zK/5xcZVOI6Ds/117NdWhm4YjCOIORoDlv9Zzj3xAAN9R4Vs7yoZSW1T2eHpZ10B8To0zWaavoIZsT8R03rxCV+T6BFRH/f1XftCLS4QLExWO6gBxXWHtdJ4+sLiykn2LgsezSQ7PEEYV0QhmKIEYwbSGbEQFJCPzKTDsR1SZlvIivIX2wk8J3VsRaMfLeHQcNxcnPbdOOtXDTrbSXpjR2GW/f7taxiwsizfs4EN7buwf/Mf2Lu3lmwTZiGIORoDOf+y3o3hr/XpR3bQuDRDs7aq/OAamiEekhZVPcbJJIkFjiVnV5FgoYaOX71H9bqYT3OpoWGOCJPteAShlhCFYIpiBfKUS1BxEfFTnXzk9veGBl6WcxkKW1en7WGW/ktmn91NvMnG/tkXse+/A3r2h/RQwS3IG09frmiBeGHrancdIQJ58wzqtG2+RTEH+nN+C4HjlCaPS7Cb5Hyd5NGgaxWKmdU3QzxZvs0kiiOwqyxEUKtBxar7mZaITe5UnJJlSBBGDVEIpijBNKOpqCwVUxD5yEw+Mtu7Cn/XHzO7uKKcQhDix69rfa7A9czvsO/4O7C82fnOPaVt6StZpmL3lwYrt6XdAFEnLCP0jNk0aq/5FsVsjYGAQqDHS5/lFv0pSDYwEOEO46O+Ea25tWSxphXP1WR6RtR4CAewJ9iEgJpiVkvEAr5NE+tYKjG5jkYQagtRCKYoVkAh2LG3W2oReEymgEnBJbOjqBDULZ1RXFEuQDZEIYhFCPm6Vircx/Bnf2m56HBf3IHdV1pMqs/OesMqVQj0ugSaZtGgrS4uczQGrECgccw/7ibtOWJaHyQb6a9CIdD0GEybWb7RJLIQBC9/NY9/LR29z0JQFwu4do39eEaTkms12Q5QEMYRUQimKLmAy1B/Kse2Xd0RracWog9MLhzbIbOzeG8n4m1UEyDrhCjIUbP+wXSgALrmVwhiTXXojUVXILs/W6KM9GfdfhwnxGUoUeftqziuMJchPaAQ5AORtWQDvfE6qqIlRCHQ1HM2eR4Sv0XAiRQya7VSsRpDMNktBDV14gVhkiEKwRTFCgmc60uVzlhOReSTM7mwe9IFoUlvTKCt/CU+//6I2e7w1J/hGYeCCoFGuiQAWG9KoDcVBXKrL1PinpK1XeE91GWoLr+tqhBo9AeCirWSt7q3INnIwblLeKl1jruv0oZox7/R/X/arNL9K2OtlK51IhHMKhaZZaxGswz5LQSBa1pLAx0BSi7NJDs+QRhPQr46wlQgaCEAsCfRR344iMvQ5EItRqY316G17yYo3IbFYYYqBBEBm3pAUXCr/PrvIz3EQhAUPnXvd1hQsd4QYiEIiSFwiAV+u305iXqyWPzoiBM4sqeTjrp6Prd2JQmrmGFMu+B97h8tpQqBps6dT6JHRH3vOVr08++3ENTOCXAy/hgCzZdlqHbGORKIPiAIo4dYCKYowRiCqGVTkUn2DS2htz8zpeJFLFUh8JLnqEJ1pD/8IM5R0EKgM4DlTPcti7UkiSkWArs/W2Kp0wHbqSPHvNJ9NOYz/xRnhGMOZO1AEHFAa8mrO3aijqxt4WgaG6a10l7fwJ9PvbC42RWfQEt4+2iaFnKQynmaRJMHQReh6KBiRdAexfFUi+M4DKw7QK696JpWEkMw2ZjsL2dBGEfEQjBFCaYdBbAm0Ud+OEy2WTWVNRva+NMzW2lpquODbzuWhvrJ/wpQs/kUM/BUFm6DFoJm7dnIfehaxtelrg1gO/W+NlpcR1POt5POYQUtBLZDp3156D60ZD0O7kx9npijkSsJFPbP8zRoGwDIxRPkBvzKw9ZZC9DfeaubLemwE4r70v1WBm/Exb8m0TPiv/xO9LHVmKCd2dFFl1LgDkAfgxgCx3bI7u4mPrfZrXswhkih4trktttu4zvf+Q5/+7d/y1//9V+P93AK/O53v+Ozn/1s6LpEIsGMGTM45phjuOaaa7j88uJ798ILL2TXrl1V7+fqq6/ma1/7Gjt37uSiiy6qeruf/OQnnHXWWVW3H20mvzQghBI2QywuQy6TSNYpYfmqHQD09GV4cd0+3nDKonEe0eijZvNJ5bpw8/wU7/8of3gnV1yukaZeez1yH6UWgj6S+lay9kLAZuZ7T3KXJ4sClJ3KYQWE+eZMDIvSlJ8AWl2DJ/8ohagcrcRC4CixAXVsL9QdsOKJkravd+7j943TecOCw5kTElPgZ5JaCIIxBFUEFdfCOyK7u6dkmZbQRz3LUPcjmxhYvZdYaz2zP3bamNZnkCxDwlCYNWsW5557rm9ZLpdj7969PPXUUzz55JO8+uqrfOYznwHg4osvpqOjw9f+mWeeob29nVNOOYXFixf71p1yyikl+7zyyisrjmv27NkV24wlohBMUUJdhibRR344TKbZT5VM1iKjBCBu3HZw0isETjaN9dIzgHucid1rgKA/fIRCoDwjCfaXLfgUDDZOaAdIatuYoT8AiRh1S97ktkv6LQR2cHZfK3Pv1Td7+1JjCEJchhQLQVwrVmfOxUoVgpSV5aEdr7Gp+wC3nnhx9L7xWyYmkxymxnG4MQQRDWvMQhB6Q8aDCsHIX6iB1XsBsA6myO3rJTG/pcIWgjC+HHHEEXzjG98IXff0009z44038sMf/pC3ve1tHHfccfzTP/1TSbvrrruO9vZ23vOe93DNNddU3GfU/moZiSGYooQFFZtbOjjQ0R/SemoxiWQdH/va/Skzu/pKU2VONpxX/ozdlyr8rrfz56CyhcBfh8CCuobI/egBC0EcVxBPaPtJOEWh/JmuYqVhO2WVugyVu/kamkrGHnM0ciUKgab85bbNaDqWBtmQ7GIA67vCKi0HqSLuYgJSYiGoJqi4Bt4STq60AJ07Wz966ZBKnhV9bEWIksma8b8MwgTnDW94Q8HN55FHHhnn0YwvohBMUcLSjnb2pPnZ/WvpmQKCYjkmq4UgeF1zOZtsiFAxqdi7BdtpLPzMu89UFUOgWAg0zYLp0eZdjXShRkG8NemvV+BZAQZyGe7bU6w07MYQ+J/DWLlbrz5cISgV8kt9RmxNY/3mg7RtsIhnww3DJdaKkpoFUySGoJqg4lo4/JAsWDC6IQT2QCA19RhbTUQfqH3uv/9+3v72t3PCCSdwwQUX8LWvfY2urq6SdrlcjrvvvpvrrruOs846i+OOO46zzjqLj33sYzz55JO+ts899xyGYfD1r3+dH/3oR5x99tmcfPLJfOITnxiRMeddgIJuQlMNUQimKGEWAnBfuKvW7B3j0dQWNfGxHwXCrvlAKhfSchLRMA2L5sJPnT6enb2gqixDalCxhoV2zNklbWxPItI0h+n6IzQdmmb6xfP93hy2heM4pKwcqXixTzuVww7M7sciZ6ezhboBmuYvTFYSQ+A7HvfvDr2VZ1bupX8vzG2fG7qPXX2Bj3adPygaZ4pbCGrMZcjJ+hWCxtMWun+MokZQUl17Et0HwvC57777uPXWW7FtmwsuuADbtvnRj37EtddeS2dnZ6Gd4zh88pOf5POf/zwbNmzgpJNO4vzzz6e5uZmnnnqKG264gUcffbSk/8cff5yvf/3rLFu2jOOPP55DDjlkRMa9ceNGABYsWDAi/U1URiyGwDCMi4F/Ak4CEsALwNdN03x4EH0cDfwrcB4wC9gI/C/wP6ZplkyHGIZxDvDPwLlAA7AZuBv4hmmaAyHtHwMuDC5XOMo0zY3Vjnei4jhO2RSjtfbhG2smq0IQlllqIJ1jWnMypPXkwGlowaap8DtGL/cvPB5jX+UiW07AZUg76c04T/66sGRbYwv/ecxpfDs5HefZ3xPXDpJY2I3WEqPk6fKE6ZwOWc0h4WhgO1gBoS4W8VhO0x9jf3YZ7ueq2MgNKvYrdX4B1/17Q93RhSUt/c2E8eWXHuLqQ0/m0iXHugvq6qG/WOF5SsQQUF2gai28I9T7s/G0hbRccJj7YxTf32rGLgAnYmJptAgqb7VwHYQimzdv5pOf/CR/8zd/A0A6neZTn/oUjz76KN/61rf44he/CMDDDz/M8uXLOeWUU/jxj39Mfb07+WDbNl/72te46667+PnPf87FF/vjmrZu3co///M/86EPfajQfrjcf//9PPHEE8RiMS699NJh9zeRGRGFwDCM64EfAWngcSAGXAA8ZBjGX5mmeWcVfZwErACmAU8Dq7w+/hs4C/hgoP1bgAe9fT0H7AXOAL4IXGMYxptM0wymYTgZ6AV+HzGM0rQNkxDbccq+SGP61NYIJpM7hEqYm9hksRCkMzle39KBZTksO3xWIZ2qnUuQN4Tq9POX2XOxNY2qXIaySsEuzUELzJjHHYdMLMbLPW2c5C2z0v3ES3z6AcsquAel4jaJbMxrH6hmHDKOGfp9xGljV7qPBZQWJgumHVUVnLwQn9GC7j/h3LP15YJCoJ15Oc6ffqx0XDyuyVSp2Pe8a9XGEIw/qkKQmN9czPYzphaCsa1nUno0tXMf9q3aSe/TO3yVo2sdLRGj+Q1LaDpjceXGVXD44Ydz8803F34nk0m+/OUvs2LFCn7/+9/zj//4jzQ2NmLbNhdeeCEf+9jHCsoAgK7rvPvd7+auu+5i9+7dJf3X1dXx3ve+19e+GjZt2sQ//MM/+Jal02nWr1/P1q1bAbj11ls57LDDBnO4ZTEMo+z6iy66iNtvv33E9jcSDFshMAxjIXAH0AWcZ5rmGm/5GcCjwLcNw3jANM3IpK6GYWjAT3CVgetM0/yZt3yO18cHDMO4xzTN33rL64Ff4L6jrzFN8x5veQPwK+BtwKeBf1H2sRSYCTxqmqZPuZhqhM0Uq8RiU9uTbJLqA5EWgsnAky/sYvX6AwBs3d3FNRe7M+KWEiOv00tO17E0ze8ypFzwnG0R93LwO5msunEJdZ7gv7q3o6AQ7Dq4h6VWiEBgW4Xg31TMpsVTCO58eQUUQxxCLQQJL1PQ7lQPGU33Ceahhcl8l9lTQvSA+08Znt23mXPmHY523Bugcz/Oyge9fpX9TKKHxA5YVCItBJq/1XijCp5aXLlBRzHtaImFYBCKYVdPmoF0jnmzGoeeqnT8T3skfat2TyhlANx7qG/V7hFTCC677LISIb21tZWTTz6ZlStXsmbNGs4880yuuOIKrrjiCl+7/v5+Nm7cyIoVKwDIZgPKJ67CUVdX3eSGSnt7O/fdd59vWX19PbNmzeKyyy7j2muv5Zxzzhl0v+WolHb0+OOPH9H9jQQjYSG4GUgC/5ZXBgBM01xlGMbXga8ANwKfL9PHJcCJwPK8MuD1ccAwjJtwLQZ/A/zWW3U5rnD/+7wy4LUfMAzji7gKwaUoCgGQTxT7wpCOchJRqSJxPFZrc2FjSy187EeDMAvBY3/ZzsHuFGeesID4BFYEdx/oLfy9dVc3vf0ZmhvrsFPKbLrWy4szSy0EeaHmJ+v/wsoD27jq0JO4eNExoHyQtJD6S3VWXsAvrjzQ3cbSMAuBbRVm8tU4gnrL/6wFr4BO8bgODPSSjsWoV4SwsCxDYTEEKa16t7Afr/8LJ85cTFOiDu28d2K9+CjkMv4YgkmkEASPJMpCMJrZe4aCL8ZFUQhUYXukrZ12f0BIq9Jl6GB3ih/fuwbHgcveeBjLDp81pP2XuAwNqZfRoemMhRPSQtB0xsIR62/RovA01vPnzwdg//5iNrPu7m7uvvtunnzySTZv3kxbmzvxUU5ZnD59+pDGdeaZZ/LTn/50SNsOlYmYdnQkFIK809W9IevuxVUILqO8QhDZh2mazxiGsR84zzCMFtM0e0zT/J1hGFHRJPmkyMGpT1EIPKICivPExjiVXK0xiWQdH2EWgkzW4i+v7KE+GefUZfPGYVQjQ1DJ3byzixOPnuMrLuaQ4+CcJdj9XfhTaEJbqpen920G4NebX+TiRcfgZBSXoRA3uryFIKtU9a2zbYhSCDyFbEBVCHL+Zy2YZWiavrzwd282TVqPUY9qISgtTOaXktwfaa16CwFAR7qPpoQ3E5dsgFzGF0MwqVyGbPUeiX7+tdrSB/wKQULRWEfYQmCncgy8uo/47EbsgcBntcqX5YrndxaaPvTklqErBBUXjB9NZywesZn2iYrq/hNGPO6KnOvXr+fDH/4wHR0dzJ49mxNOOIEjjjiCY489lqVLl/LOd74zdPtqXYSEoTEshcBz9TkW9+u6LqTJem/dcYZhaKZpRj2+x3n/r4lYbwJzvX09B2Ca5o6Q8cwHvu79DKqDeYVgpmEYDwOnAfXA88DXTNP8Y8S+Jx1hVYpVYlPdQjBJNYJylqHlK3dMaIUgqOR29XiFwpRj3trUwtzGaRzs7w4EyDr050pT7fryvIdZCDwBP6N8pOpsi5yVLfUwsu1iDIHiF9RQohAUn70YnSS0A4XfPdkU6VisYmEy9f7NH2dKH1zguO981DdBX0CJmkSPiK8ysTZxLIS+oPd4hKA0Au+y3me20//CbtAgPrvRt67aoOL0SM2aT4xLM2VRLQAqu3a5HuN5S8GXvvQlOjo6+OQnP8ktt9ziswqYpjn6AxVCGa661YrrLtRummbJF9U0zRzQhuslW66cYT7X056I9fnloRKLYRifMgxjObANN8vRV0zTDEZr5BWCO3DLlq4AtgJvBh42DONvy4xvUiExBOWZpPrApK5EnQ3kZE95s/uO4iZl6TCnoQVH06iqMJnqox3TsWwbC1Vgd7dTLQQJ26Y7VXTzKaBYCPwuQ/5nTfcJ8373jLyFoDTLkF1QAnbv76XbUmfpXHF3IGghqHAr9GaVysvJvBBYORB7IuJ/3p3qgopr4fCz4S5DI50mrv8FL7jTgdyBQOHKKu+D2AiNKaisTdbJm4nK008/XbJs3759vPLKKzQ3N3PssW7CgtWrVwPwiU98osRFKN/HSGQQmmqkMjm6etOVG0YwXJehfD6/cuVt8+k/m4HuiDaV+lH7COPdQD5JeBpYYhjGbNM02wAMw5gNLMZ1I/qQaZq/yG9oGMZ7gJ8D3zQM4wnTNF8ucyz5jErXl2ujcHKV7caUpoY4uqZhOw71yRiptH/2ZqrHEExGevoyvGIeqNxwghK0eqXz97QisFiaw5z6ZqyQLENaSA4Zv4VAJ2VleX3GbE7udM/j6y2tAGQVC4GrEPQxI9iZbWFR2UKg+w7Df0y9uTTpWNynKMQcDccTYnv7Mvzy4dc5N9fM0sK2Dv1aA3YgCEJ3dGwt+oPrUwjsYl8FJpEgFlQAqgkqrgXU+3OsgopLxlClQqCP0DdlEt12k5Inn3ySX/7yl1x77bUA9Pb28ulPf5pcLsf73ve+QkDw/Pnz2bp1K4899hiXXXZZYfvly5dz2223AW4WIGFwPPLMNrp7h15YdrgKQf6NVM1jWm7audp+ovp4F9AOHAP8G/Ah4BTDME41TTNnmmabl7Go1TTNDeqGpmn+yqtn8HfAJ7x/5TgUOL9Cm5qmoT7B5W86jO17elg4t5mHn9oSaFFjX74xZjLOOj24YvN4D2HUcByHXJSFQLGG2Ro0xutw8KfudCyLUJ8gW52BjZG2c9x9qMH81/uIOza/OPQYADfzj0fCtujMpEL6ssjl3XfKWQiUv7XA69B2HM9CUPxQxj2BLOtYvLR2H47jf3pfXnAIf5pxGNPb/MPRbK3sG7knqxxDZqBkPBMxhiBrW8Q1vWRGUn3eHcoFFSvb1ICJQC1M5o8hGMVSxUEquJ/mGalU1pPw1TypOPnkk/nc5z7Hr3/9axYuXMjzzz9Pe3s7p59+Orfcckuh3fXXX88XvvAF/v7v/56f/exnzJo1i02bNrFx40YWLFiApml0d3eTyWSGlFWoFgimOQ3jjDPOKChPw2UglWXT9s5h9TFchaDP+7+hTJv8uhA7etX9lO1DSWn6smEYb8eNCzgR13LwC69NG677Uhj34SoEp5UZY56twBNVtAPXQjC0sPhR5uhDZ3L0oTPZ195XufEUYwLKOhXZtd//6DQ1JOgbKE3rNhEJc4VKZ0otBDkNmmNxTpuzFEfbXph+cCwbLTCDbjuOpyh4xGJYtkN3IskXjz8bDTzXo9Kg4id3m5RkoLZtcpqnECgWgvJBxSHHFYghqPcUnpxtoXuufpqy2e7+I2hoKhXadEfHItqvuzenzM6l84bbiRtDsPbgHr637ilm1zfxjye/lYRyzYJCZtSEgDZhsgwpbWrEQjBatW1q4DIICh/60Ie4+uqr+dGPfsTjjz/OggULeP/7388NN9xAMlmMY3rf+95HY2Mjd911F+vWrSOXy7Fo0SI+/vGPc8MNN/DZz36Wxx9/nBUrVpQUJ5soBNOchhGPx0dMIVi/7WBVkxllxzPMMXTjCvOzDcOIezEDBQzDiAOzgZRpmp1l+tmNKzzPB14PWV8pxqCAaZpZwzB+hasQnIKnEFRgr/d/Y9lWbv8/Bn5cRZ94cQ01bU0Iyyg0GWfIB8NkO/5UprTWQEtT3aRRCILWAaDgBqcKLLYGyVicDx51Jv1sKza27JIXqeXYvtlPLRYrBAWj+efuM7rfQhALuX/sZ+6BU90PW7ksQ7oT7u/x57lu9pK0HkOjaBKO23FwIGvbJL1ZYrVH24lT11Vq/dCc8gKaz2Vo2iwvqHjixhB8e82fAdjZ18nju0zemq/GTGC2X3P8QcYR1MLRRykEI6kRVHwXVusyNGIWgqD2NiLdCsPklltu8VkA1OJhUbzjHe/gHe94R+i67373u77fZ5111pCCja+55hquueaaQW8XRjVpSxcvXjxuQdGvb+kYdh/Dih71sga9hmtvPzqkieHt49UKXeWzCx0bXOFlMjoG161orbfsnYZh3GUYxkUR/eW/Zgmv/cWGYfzUMIy/i2ifL0+3s8I4Jx1TvSpxGJNMH+BAx0DJspamUjNsR1dpu4lAMKAYFCVIcfvJ6ZDQYsQ1Hb9wa4UqBE7AZchywt0jfBYCx/YFBhfY9DKLnncTmZUPKlZ/ue1WzpzHfYuO8Palo2kWeHEEOjr1lpt6tC7hWQiUHqJuZd3279eYPo8TZxZziHdliveCfsH73X4V08NEVpr39Hf5fpfEEFSRdnS8cSy7KIxrgOqjPwIxBJmdXXT+4XVSa8vHHVUdQyAWAkEYNXKWza595ZxwqmMk0sk87P1/Vci6/LIHh9HHucAc4CnTNHu8ZQZunMBfRfSXr2vwovd/A/BB4G89q0WQD3n/T5nUo3nCgr0m8Ld+RJjIwk4YmZCUfw3J0sfgsb9sL9tPR9cAvf1DD1gaLcLS6KYzFo7j+Gpp5ex6NEcjrus4qnBr2SXCvmU7/tnPeDzSHJv1pR21iUcoDrO3vErctkkpfkHlXIayWoIfH3YsPz7ieFJe/u6Ep6ToFH38G7MxX+pR1WUo6k6eXefPz/C3J1zAuw8/tfB7b38x/4M2/zD0a/+RiWwh8FESQ6D8DdhU9osf71eEk1GudyLmj4tQC5NZFs72dThW9RXJHceh8z6TlNlG14PryzeuViEoE7cxGEo3m8D3oSCMEOo3fjjK90goBD8CUsBnDMMo+OAbhnE68GncDEG3K8uPMAzjGMMwVN/6J3AtDZcYhnGD0naOsu03lfY/9fp9t2EY71faxwzD+FfgItwUpL/2Vv3R+30o8O+GYcSUbT4CvAfXHekHQzkBE5kwC0EtBMyNJ7V09AOpLPva+4alpNghH+1ESN7yHXt7Spbl2bj9ID++9zW+/5tXOdgdEjQ7joS5DAG8ur7NJ7DYmbm8+EI7uqZDIKi4kssQsWgLgaNpZJXA4qQV7Zt/RG+nP4YgYCFQXXl2Jhawtv4I3/pmT/BXFYKmnE7GzhXSCatPtB3xbajX/BaimKYzu76p4FvfnU3x+62vFBu0zsOfZSi834lA8JSUVL+t6tjG9wSoFYP1xoR/pXKA6fXtHPzlS6R+9fOq+7a60thVZiqptg5B8BUUZtWran8laUeH1I0gTCqySoKB4Rjjhq0QmKa5FbgVmAY8axjGw17hr2dwaw/caJqmWq3iMdwiZlcrfdjAR3GDhu80DOMvhmH8Drcg2YnA/5qmeZ/SfgduNiAL+LlhGC8YhnEvsBH4HHAAuNo0zZTXPgO83+v/7wHTMIzfGobxEvBDb/k7TdP025KnAKEKwRR/ydaKhSCdsfjRva/x8/vX8Z8/eYH97eWy+0YTphActnh6wcVExYrI/fyHP29y+3IcHn+uvCVhrIkqtPf4c9t9Mr0D7NrlKleqhcDORbkMFZdpiXikQgB+K0F9mdnYual+copfULAysRp/4ACL9vsrn07zVusUXXqasjEGctlCcLUvG1DEOMIyjuqaTmuyGEb14I7XivdDUIkahIXA6k3T9ccN7P/uSrof3TTuz1epQuD7FV2HQJ15H/FRDQ6rq6gQBhUCfxYljQyH0LXTr1iWI7snemKghCrvg2BO+SErBON94gWhBsmoKYiH4ds4IhWovCJgVwJ/Ac4DzgCeAi4xTfNnVfaxEjgL+C1wFPAW3Fn9TwA3hbT/CfBG4A+4M/+Xe6u+A5xsmuZLgfbPAKcCP8ENHr4St/rxj4ETTdN8ttrjnUxIKfAQauSjs2t/D6l0Ubj89Z/MIQlTYVl4GpJxrrroKE5ZNte3vLe/cqBxf40FI0cJF7bjsM+eUfzt/T+QyqFe5FxvptRlyLEDLkMJrMC5n9cwrfC3GljcUEYhaMlmsBRlJBaYwlefxrC437VL3VSnulYUCA/vqmcglyU34CqMfhfy8I+DE2E6OGa6v/Zj2vaORddLqjtXg2M7dPzfqwys3ofdm6H/pT1kdw9C4BwV/Mc+pErF4/iOsAeyHPzt2sLvEgvBMMntj/ZFblrcS2JhscaoU2XxqOA7KDtSlYsFQfBZCIYT6zTcLEMFTNO8H7i/inaHllm3FremQLX7fBYID1MPb78B+HC17acCYf5m4z2DN97UyuEHi2WlMxaZrE2yLiRnfhnCLASxmM7imY0sntfCngN97G1z08/29GaY3pwsaV/LPPvK7sLfhy6axhFLZhTiITqcFlo9VSAvYHf3ZdD1nkL1k8z6LuyTpvn6tGy7kOMfgHjcZz0xps/jr497E5957h5SVs4XWDwjE11QpyWXwfJZCPzXuJL/f+eCI+Cl5WiKy9BZ+1rY3J8it2E1cKgvMDkymVCEHHfZIcexYu/Gwu+MlaMxXgd6zD+ikHtqV18ntuOwpLm1sMzqGPDNZgOktxykbtG04OZjRskHs8o6BLUQVJxr76fthy/6lumNgQQBwxynnY4W1psO6UfTWotKXZUWAivgWjR0C0GNvJwFoYbwxRCMt4VAmLiEZhma4u/c4ebyHSnCPn7Z3OBn1sIVguJ1n9ZcFCi6+2ovaLgcA6msL7tCTNc58eg5NDXkZ02Lx5kXQXr6MjiJLeQ1Aqcnhz3gn9W3HNt3/rWY7rMixDSN+liCr515FeC3EJx2UPWQ9NOczfr8+ktdhsq7pUxLNqCdfikxAvVD2lPYva7HY1VJZqzwj8bMZBOz65sKvwvByoHMTFa3X+nZ2LWfL774IF9+6SHMzn2F5bkQN7fcCGTDGAyVhMjg41GNhWC8BNPO+0pTGpbGEAxTI4g4tkbtJUD3ZzSq2mXI3y4zhPcYlN7PNfKqFoRRo5p3japgj7vLkDBxCbUQjMM4hFLCFJOhzKyFuQypimBReHYF7IlEW6d/9rmrN42macyaUQ+A7vOnd4+5py+Do1vE1DqHKb+AYjmOf3o9FvNdD90LIm6I1/GRo89Bi1dXTbMlF3AZKrEQFF/J+VXz9893KwsD0+saIBYjqfkrT1u9aSyvuJovqDhiHFqEQgBQpxcNx5m8QqD7FYK+53ZiK5lu7lj3lPL3isLfYQpBtm1osTBDRc3ABJALuLn4P7hlYghGemBDIHegtJCkE4yhiRhotUpMVKBwg/YazoHtsG9LxbZBgrFJqovDoBinLEN5ISsYCyEIo03+nisn6KsWguHMB4hCILBkfovvt8y61AZhk29D+ZCGfcRiMaWYlpJxaKim/PEiWDuh7aD7O+/2pLrg5Gfmu3vTOJqORnGWW0uVWgh80nTQQqBYBM6edxgLp82parxuDIHSraP5ZJp0blZxvJ5kN713GnM6ZgOwbMZ80OPoWoZ6TanhOJDFceIsSVnU26oSVKSxXvEQLaMQqFV8M/kYAk3HdvyF5FOvF3PU92SLill/zlUqe7NpsiGV0O2+zJjOsBeOIeK3byRaGcG5hoKKVWLNQZehqLiRKp/tsKxk7ETXsrD5FZz1K8u2zfPc6t387tH1HOjoL40hmGBZhvJVdvv6Su9nQRhNurvdFND19fWRbdTnabzTjgoTnKsuOpLpLUW/8amedlRlPP2GwzK5DMXUXslCkIgXBcBqPtS1dHd0BPzTTzzaFcybvcJrvqq93v/dfRkcTfel7tS7s8xIFc+D5fjr1Ya5DPmo0kLQnMuCBjmflaC4PmMVFQt1/63drSybMZ9FTTMglq9IXFSGYv05DhmYxxu7szSqmZWUYTYpriVOtRYCL4WqpmkkdL8rVHpje2Qfazp285nn7mHT7pDi8pbjy6M/2qQDaWAzgd9OIIYgMjOTb6MRGdqI0HCCPxA86p11171rWL/tYOUOQ94XGjnl78rZpnbv7+Xpl3azdVc3v3t0Q4nL0FBcH2H8JqtaWtxJs71799LT04Nt2xLPIIwKjuNg2zapVIoDBw6wd+9eAFpbWyO3GSkLwYgFFQsTl0Q8xuGLp/PSOu+DL++5AsPxxxsuoS5DQ7IQlI8hmMgWgs4evy/7GcfPB6DZc4PyBel6h9zTl8HRNDdTj7d+1tMH+VsWcvfRbZgzB1y3EkWa1nTddz1iWmAupa66QOymXBbNcdxk0d47POZoWN5AygUVf/yYc90/PIFdVWhiAxbTcw0EUftobqjjgKdElHMZSsQUBVFxt2mIbSJjLyKLW9HY7g/PpqSjcdtrywFIZsL3Y/dl0UOK440G6UDWpzUHd9ObTdOccK9ZULCrJoaoVl6RzeceUnoeI95ZXT0Z7l++iU99+PSyfYYJ+ZqmnkPlHRGhEGzfUyxs1zeQ9bklAmTKvMccx4l+747TiZ85cyZ9fX309/ezc+fO8RmEMGWZOXMm06ZFJ2KQGAJh1JCZjyLjaSEIE+SHFFQcuJ6xmObLROBXCCZWOkC1KNm73nJ0wdJ15CGtJBOxUAvBvvZ+7IDLELiC7Fu2zwDyQcXKygoWAk3J318OHbfasKYoZPk4As3WyqYdbU54JuOYpxAoqUcTqfBnVl26dGHxg6KlozNV1YW5DAGabtOsryr8zu7pIbO7myDqvdWoVGKOTS8qTfYYVrwOugg19zXzi8deY5/nzhR83UVaSGvQRKDVV59xrOpXWQXXIl+di4gaIEH2d/jjRqLeM1t3dXHnr1fzhz9vDP0OlbgMVbX34aPrOkuWLGHOnDnU19eP60SRMPnRNI1EIsH06dNZsmQJ8+bNqzqGYDhZhsRCIADjOxNeSwQ/QnWJwaX4HElGLKg4EPh37aXH+K53JQtBd290Gs3xxrJUv/7iMTXUx/noNcfT/j8PAq5fvnoWXoqfygXsLelvdsqdybQc27eBFqhUXGIhUDLzVCJhW145SXcHsxON7HB6qcsmqssQFMsHDxddhupTEX7j3v+nHjvPrxBkYyzYN589c/eWSIp+hUAR3PQYGv6g84O/WsPcvz2Hc3e3sKyjkeWLu9g+MwuOa+1oUBSC+KxGrC73XrL7xi54PaNYCGKWzqJ9C+nB5t7HNvJX7zkpIGRWF1RcK3MmWjzk/RTxLtccQHOfGTWGKEh4oHBEqPogCtSpRL3HfvfoBgA2bu9kx94eDlngnxUtOe9jeB10XWf27NnMnj177HYqCGVo7xzggRWbC7FzIEHFwghQix+78SAdKJgznmpSWGHccqb2KFRLwxtPW8z82X7htVIMwZ+e2TrofY4VanxEUMipT2g02EVlRk33uVE/qsRCAHCg3hVUS7MM6b7CZPowFII628ZRlJfPnPAWPnns+SRy5RWCwrXRS2MImgbC53Zs7+vw5jOWlCi30/qm0ThQatmoi5XGEACgaSUKgZO1ye3r5a3bWzmkN8l7NsxG946iMacX/tbq4+jNqoVg7BSCtGIhSGaKY+jzCuyp7zunXGGyGpw00UKqjUe9tPKLB9LRhfOACCE/zNY2uIrVKmGuj8FMRN29la1IEu8mTGVWrz/gUwZA6hAII4FyD03lV2y6TFGesSbcQjA8l6GwuhOJRHkLwfY9411ZNhqfQhA8NiuH+orLNPoFDEsrFYzyRcO293SgekNosZhPYCkJKg5RCH5y2DI31anuF8QTju3L5a7ZDrqmUZetC82KlKc372bjxRCotQiSEZWH1TsorKBdzCpdFpplCDwLQek5S28pBqrWW3rB+nTUwWJMg96Q8OXLt8ew2nVKsRCoaV3zBB+zWk47GkSLV68Q5FumKrzjwoR8RzlvmlZ8Dvq9InyDrV4elhyhI5BCWI1zKo5jULsRhElN2LMsWYaEYeO3EEzdt256DLOfVCI0hmCYFoKwl4XPZShbO8dfDT6XoaAAYWVxlFdceo7fj7k3VioMJz0Xlwd2rPEJ07amsbmnrbivgIVAq/fPtL88Yw5/mb2QRy+5Dv3jX6dvRjF7UMK2SMSVGf28QpCpK2shKCgE3gy+pllYWopyOBTrTCRChEfd0fiYca5vmZpl6NebX+SPO9d6jXUKkdAKuXb/DFXCS6V69eZiClUCcRNDnVkeCr1ZJb1sIDDDcZyS991Eev1pIS6NUe6fw7MQhLsMbels4+GntnDHr17h0We3le9XIew9diAw0xn2Lp7I10oQRhorJIannDtgJUQhEACJIciTypTJUT7GhClmw007Gq4QRLsMhY0hTFEZL/zHFnid5bL4BJk6OHppMXXbwXhpZqB6S5kJVYTHe3e+yqoDRYGnksvQCzPdVJDdTc1oza1YipB9YsscYopw7lg2Gp6FQOkjeJZ7PL/7zZ06rySPI0eMXKx8ka9lh0/nmouPco9H0zhiyQzf+rcuOo4z5iz1LUsELBp/2Lra/UPTQ71msoHA4uZsjHhA8NZbkl7chMeYKgRKetmAJcW2S8NU7chybkqrGnkEBmMhyFufUhUUgjBlLa4VlWE17ahmw9pNbvrZ1esPVD2ZFGaJDI4rM8EmJwRhrMmFKATxEMtatYhCIJRQKx+78aBkVmocz8VIBRXb5dxqKB9UnAvZXzBIeTxRx1LJZUjXdWZMKyoB3XppoZekpRYKK/a3daDT165kX0m/QtCedPvOV8XNKX75rfGEN9ueH6dbQ7kaC8Hetj7+8LrD8uY38VL9idh6eYXgTactYs7MovXibW8+3BdDMi3eUDIZUBewnOQcf+xCkHygcJ7GXIz6nL/P+qNnoenjYyHoUSwEuh04NssurUNQVQhBbTwDoTEEERpB1RaCnH99nDYatTXKErWGRkDBqloh8L9nD3T0s3zVDt+yMIVgKn+bBCFI2LdY0o4Kw6YWP3bjQS1ZCMKy/w3FpaeyhSBaIQhTQMJmJcYLf1Bx4NhyfpchPaZTX1cUzNN6aTExHY26wixycVsrIGRVyjLU4SkE+cxEOUWYrgtxn7FzEHNi6KpwGnix9/RleG51sdDXM01n41RQCAhYTWK67ss2FGZyrosQ/IN9RXHWjkaSlr9t46kLx9RCYPVlSG85iGM7Ppch3faPK2c5/o+qBnYVT32tCKbhWYYi2nrHpc7Eb+zaz8r9W8kp2aScbHF9q/57Zuj3oR93FvqHv4R2wptQXYZiAYtL/lxWUgyCyRH+sHxTSZsw/+iSIOIauQ6CMB6M9LdY0o4KAGjKV6RWPnbjQanf6vidjLCPam4Is/ODiiHwZu4yWYs/Pr2VtoOlAmcwG8h44k87GhBYLb/LkB7TqVMCazNaeHXh+pxOJmb5ts0Guq4UVNzjVS7OC1q5mKoQWL6gYseyC8HsEckdAegNy8xTIYYgTGBUTcphH5RcyPV1HCfSQhDEaKtn1azip2Vfc475mjZmCoGTtWi/62XsvgyNpyygd25RIVCzDAFs3tFJ576iAJxJZCLdXrRaDCsOzTJUJu0oMJByj3dvfxf/sfpRALoyp3DJ4mVuA9/sveV2p8fQZi3ESTb6XIaCCkHOsqlLxCpaEYMWgq6e0oxfq9cf4LRj59E6XbHkVVszQhCmAMH39xtPW8RLjw69P7EQCC6SZQiAvoDQNZ7KUZiv/lD89yu5DMUVhcCyHGzbYbV5gA3bDnKwu/RDPRSlZLQYjIUgpuskE36FoElbWdJnvaWjOaoAaGPr5S0EWrIB7ZSLIBZn90lvLszuZ+0IC0HAZSiTctuVcxnqT2WpCwiAarXiUEKE+LgSdBbqEhYWN4IzqLSb8/uLylY65h1bwGVofec+nti9gZQ1shmHUuvbsfvcAOz+l/bQ48UQJDIJpvW1+No+ogTC2ppNKpmKnt2uwXdkWAxB1GXKL85bCH675eXCut9seanwt6Okmi0I//lMTa3zUAPLg7EieUXgQH9v2XFXmxzhmZd3+35P5ckqQQiifovPO3URpx07f1j9iUIgAP6PyFTNMmTZNq9v6RjvYRQIuw5DmZ1XtwmzEGia5rMSZHIWaze3R/aXy9k1cY84jlNe2QnGEMRivlz8Ga2OBm0tqxaYZPTiOarP6ei+w3MK+fwL+wq6DAH6Be9Hv/l/aDvpzcUheC5DWUUBiNuWz2WopyfFypUHAHxpR4OVil1lLbBMK+9CpoUpgKpCEKLcnT33UOKB47MHYSEAmK5UQs4rBKqFIJXN8K1XH+f/Nq3ioe2vVd1vOpPj1fUH2NvWF9nGCsw2512GgspAkP6GfihXh0BlHG7/sGdOC8soUiHL0M79vXT1piOP0/LFEHjXzks/qy1ZhqYqBCEWAoCOgfKubNW6OuzY6w9YLwkBH//XkFBDOI7Dzzes5JurH2VXX2d4m+427OcfxjlYWphyoqFayI86pHVYKUdBFALBoybN4WPMgY6BQrGiWiDMGjCUgF6fy1CEsNCs5Ijv7s34flc7trEmGBtREkyVy+JTCOIadXVKGlKtDk1zOLPrRczWYsrDN+xpQfdJ4zZWFQoBgBaLE1eE/7zLUFYRphO2DYog99LafYUZ03IWAttxSjKxpCvN2od8IGI+haBUMJuRbOTLZ7zdt8xy7EIMQYzO8vsEZqSVWI2YjdO+23dwu3o6C8Ldw/m0plXwyDPbeOTZbfzfA+v40zNbC/eh4zg43W10pft5Ypvp26Yv56VrDWpYAfbN3g+UqUPgsxCMw/0fsObE5zWjJQcTQ+DS1ZPmB799Fac//B62fM+2u8+81UCbMYdsfdGFpy7n9zrOv5+sCu+HaoOPZ85o8P0WBUAox/Nt21mxdyPru/Zzx7onQ9vY99+Bs+LX2Pd8Gyes+ucEIlcu7fYQEIVAcPFZCMZvGONJaJq7cc0yVLqs0oc2tJ8KMQQAM6YVP/Kd3alC7voosjUQWFzJFcqtQ6DEEOgxkgmlCq8XQzA7nWL9jOKM8zEHGzmuvZiZRwuxEJSrBhnXlDSudoSFQBlvb0+xYFpZhcB2SjLE9MXKh4GFZZxQXcSiZmpbk400xJRCYo4DnhI0TV9edp8AR3U1KH/vxb7rX2DtU8UGQ3jJ9A1k2bD9YOH3mg1tvPy6J8Tf/13s73+GXfd+m5Zufz77vJXGZ34JYGOTi7vndijCvtWdove5HWQPRFsuhkswM9PM9xw/qIwiwcO3ttQxu2M2C/bNJ64I9mq63bzLkNY0o7DMVp4hPXCu8vdTpQmDaicUZrSUpgYWhCjWHiwmXdg/UFpQ03Ec2LvF/dG5H1IVkjLUOOoEYXwY9QfyiEIgAIFJpSmqEIT5U49vlqHhuQzt7+jngRWb2bmv6M8bNYvQqnx4D3anK36wa6GAW9miZIATsBDEYrrPB18NKt45ze+acFi3KojY2JWyDCmoFoIwl6FEIKhY1fwGqxD0k8SKukvDctQTCCouk8ZWrbVgO3bBZSiuHWT6G6dHbhekNet+mJ0drxeWaUPQJzfv6CzRI17b1IaTTcOGF3AcmL/9EI7ubPW1yXssxYl2eXIUH7GoW79c4oXO+9fTu2IbB3+1BmeUlGVHuVZaQxy9PkIZrOAylMceiDOrcybT+qYx/8A8pV3gLqxrQDvnyuISRZnVA+chfz9VsmQOZWIDQgqTDakXYbJSUT22Ail3J5WFQBQCYYQYd3N4DRA+6z1+5yK0KNggXIbu+/MmzEBMRNTMdtBCEEwLGKQWFIKcrwZByKssGEMQ10lGZBnSHItn5xeVgtlxtfKw6zKkWzqtna00DDSE789D9b/PuwyllWXzV6/wfbk05Tq3OMXrFfRwCVUItEZSEUOJz2oIX658OIKCW1dPms07O0mlc75MSpZiIXAHN5jnwvM/V7WAIQiEYfnzD3QM0N7WBUCWBWRYWtIm4fm5x5xohcBWxhYZH1NG2sjucu8duz9L7sAozToq1yo0dqBA+PjLbdE00OTG5AxkfTfevYsPQ7/hP9Aai6lq1cytwTOa9gSukbIQVGw3Vc3Zgg/HcTh4z1rOfzjH0QfD33sAZANJMnK14yI8FPwWguG7DEnaUQHwuxZM1XdsqIVgXF2GQtKODkKQ6uotzRAUJchOVywE3X2ZigllKlU7HU0cx+HBFVvYuKPoPlKNy1Bcj/mqMmf0OhxcOe+Q/m40rQlwBZ/FyRmAK+TlXYbmdMxmRs8MHBwyR0UrTHElXiBf1CsTOO9aX3Hs+VlWS7doohtwZ9+DVzpr2SX3aFprJBtxrRJzm8PHFxFDMJDK8pM/vFaoPTF9xky6Z7pZXtygYqWK8yCm+G3yKVkVgXYIz1WUe9PrWzo5B0g7h4Wur7N0UnGLWBmR2FYtBBECdbVWVKsvQ3mHu6GhWh7KKQS5iJNb9pF2HA7++jUy2zrRFbHgQH09WtIvYFnxaAtB2nO7DCs8p2nF96njuM9xJZenoCUh+Eqcop8qIUBuby/pjR0kgQ+Yc/jSmdvJhT0iuYz/9whnOBtLbNvxyQjDDSgGsRAIIUzVl+xQqgCPJmHeQdXOrEUdS9RLo6m+KMIMpHM1bSHYsL0Tc2uHv0pxyOxId08HQZchXQ9kVPKsBDdsWsPFe7cWlsd9h29joTGjZwbgulTs2Rqd7tMfVOwFZQYvZq64fb61ozm+YObgFQg75916S7SFYG5T+PKIGILXNrb77pvGzmY0b3ZdDSr2Rhu+0xCS2nbvr+FZCNTrPW9W0YKzq30Ax9FJO4eG7987bTEn+nPnVGMhUNuXOX67NxO5blio1px49Mc/LG0slFfCZuYcMts6S5ZnQt4XtnIfxMAnpWe84OMwS6bj+C2U1bzLgm1KtpiqHyvBhxVIF250NIY3nEQWAtVlNh7Xh1WhOI8oBAIQcDudoiaCWoshCE07WqV/clS2pCiFoEHxRx5I5SpWRB5PhWBfSMpJPTAD72RSND/3IOorLu4VB1Pdhvo1NXhYObfKvdCnN7Jw99G+/lP9ZSwEqsuQ454nPfjhUWZ483/Zmh3w3vZfqzABqkdvYSDimibmh1sIYhGFycKUyHyAqRtUrDiIDOIdkcC1MqjndygWAnW2uFVxcctkbTIsxCE8ALUx59A40ECyK0JIAJYMdHFUt2u1ibQQVPm9HS2FoFoLgRXhF11u+MlQ4dwhF2JRtGMxX9yK2iLtVTmOek2p758hKQRT9NskVCDw7pqdinB+yQaezQmsEORG2F0IRCEQCojLUGgMwXi6DIUGFVc3oL6BcKEk1LUGv0LQn8oWTP8qS+YX87inM+PnMqQK9HmCL0Rn9ROoHs6WZhVceea0FgXDrXVLlK2K1z+3pxiIndHixC2/E0h/b/Tx+1yGPMvAq3MX+9poTvFDlHe7cANbleewind8Wk/SHwv3jU/Mq8JlKKe48YTsT/dm1e2AhaBal6FXZ+9CK0j/qsvQUCwESq2IZPF+zeZsLCc6yLkpB0v2LIlcD9Bopfl780V3lJFjq+4dafWNvkJQ7sudi1QIogcdvsYmq+uFuIDCUt2fWyim/Mj1um52YS5D4FcIoiwZvn3VQHpjofZxAt+rlkxEvFDQQjCBXYZ8AcVlYtoGgygEAjCoIqQTlkqzS+UyrowHYTEEVSsE/YOzEMRjeqFol+NAb2B7TYNFioD5xPM72dc+eikWwxhI5UhlcqHp1UoUnb4uHMWT21YUgiOWzCgs35YoCopRQm5dyHVIp2x6IgQ/f1Cx22dbsp7nZ84tNrKLQlbM69/WbF/Kx2pFoVRYsbn6eOQsclQMQSrE6pMfz66+LlK2uj78XAVn1x0tpMhV9OZlUe/9eiX/fjbnYFNU8hLs8m3XlK78mYs7xXEO30JQGrszIqhBxQe24fSXplWEolUqSLnhh6+zyWl6SSVpS9exFROPenbj6z2lapAWgqj3UjCrWq3EEOTa+t0AbKEmcAIuri1Z9/2QswPPwmR1GRqBDEMgCoHg4fcYmnyzMq+8vp87fvUKP7rnVe59bAPrQirxhrlMjGfGpfDCZNVJUr2DdBkCaIxIYzhvViPvesvR1Nf51//2kfVVjWUk2N/Rz//+ZjV3/PIVdu3vLVmvB1+IyQYcJTjS0m0SnkIwe2YxSDKl1SsbhZ/bhohTHjYOCMQQeMJZ1rbY2lScxdbs4vXJX5E6O8uMTFHJqPbOS4dc05nvPSGyfbmg4iC6F0Nw5+tPsbZrf3FFRPrbAw3BPtTjLB5RKjv4D7F67zeoFgLbwaZ4Teu1zdSxpfC7MaNe43ASyjiriyFQ/g60z7X76yCMFGraUaw0zlO/DW2XHUIMQdh8qoZNTtdKLAQ5LeZ7L6oWAr2zzS0SF/HMxEIUAje4uNjm5GPmlrQB2NvWx8NPFa+rt3HEEY0e/Wv20fajFznwvVXYERMvwthiZ8ItBI/vdr9RjuMwkMqFBBWPn6V7uIjLkDBq+LIMjeM4RoM9B3p57LntDKRyHOxOs3lnF396ZmtJIbLQLCbjeDLCvnWOU50ZPSwLkKbhy8MfpCFEIdA1jfdfsYwl86eVuOqk0tag6iIMh5Wr95CzbGzbYcO2gyXrSywEtuW3EJArCOo+oUSZzdcYXFzEgY7w9JJhLkM52yalFhELUQgO6e9ksC5DAOlAu3m3voHEnPCAYoC4EpCay9n09rsfyf5UyD2jBOKq1ZqdEGuKjVOqEGhZX4s8wew01aAGFftchiywnaJCoGv9aIploj5bel93N/nrTiQUC8Hju9fzUtsOnB0m1q/+Hfv5P5YOpowganWmsEfBpc5XhwALp3N/aLtol6Fo4qGH45DTSl2GXAtB8bfuODRaDq1Zmxxx0lYO3Q5/z/hchmyHP/x5I3f+erXv2h61tFhHQn3X3fPYhpARjj3dD7njcLI2vc9ur9BaGAuCLkPTMu4z/9stL2FZNnc/9Drf/eXLvLDD/35yJrKFQPn2jkQNApC0o0IIk81AsG13d8kyy3Lo7s0wu7UoSNRelqHwC2HZTsUUY2HbzmhJ+tJuBmmsL02WmEgUsxcELQQAmYxNQ/3ozyt0dEdn9YEQhSDd71MINC1HwguK9bkt+OZGB3fjR90vMV9QsY3jOGRti5Tq668IWfnRNNhZfApBlePYV6fTq2s02w4tbz7UVwU5DF8dAtvhzl+v5vTj5tEfZiHwuTApf4cogrYGbQ1+4VFD7VNxEQloO4NNQZmI68R0Dct2cNCwFJchnQE0iuOos+IlU1/5qsSF/hz/sd+x7kluX/WYO7adJs5RpxWUuxJCnrXcgX7qFk0LaTx0fAqBloNYeHJTewgKQSzkpe9aCHTSIS5Dal/zcn2c0Z1AB/YlZ9GTSUfWfFCzDL26/gAbt3eWtFFnO9VrPhCisI439kDtjWkqElQImrI6uu3WzHhtywH2eBXEV+yIc4raMGgxmEC8uHZf4W+xEAgjymSOIQjzxYfSwNtayzIUNW67iln5sEqhRx86s+w2iRDrgWoVCAvmDQs+Hg3UrDJhBGdIsgO9PpehdMwJtRBYvorDg1MII1O7appP8LEcm5wTsBBYpUHFtqbjKK/kakdjaxr3z6rjgflJGk9fVLG9pmklCtTzr+0LjTvR7HALgU2pIGRrpRYC3ecypFgIAttGZcZRCQbRqfdrSpuh9N3vUwgSVul9m4v579tCDEHEM7d9x+s8sGNN4bevVcgm1sGRdxtycuqYLYiHz+dlo2IgyrzMwi0EbgxB2g64DOkxn4XgxF6tcD3npRfTnYpW3lVlfOWre0vWx3TNr7BPttkpYVQIxhDoaG5BQgcefXpH9IYTOKh4176iy2pLU7HI5nBcvkUhEDzUDBqT6yUcNdMeDJwNDSoeV5ehaAtBJYJtmhoSnHj0nLLbhGUgUq0CyWSpYJUZo/SjUUWp8qg+5WsP7mHt3k0+C8G++rqCQuDLhe57BYYfy5rG8NnOXC762BOa320oZ1ukdNVCUFRG86PJEfeNOTcILd3WNKz6uqpzUYcFoYW5DPnqIih9v35wT0hbm76E340q5qhKt+oy5B9n5Oy7gnpPx2JawdqlOw51+UxNOGikfQpBzCoVnIMWgjpvnAlPMUkG3GTu3bHGr7T4gwhK+g/6NI8EqtCjkUOLsBCUBFIWtokmUiHQdTZ1tfmWWpruU1aTtv/56KpSIYhaP5jUpOP+qZrEE2kTCSfkeYs5GtN7orOPARM6qFidkDr3FHciaO3BPWzuaYvapCKiEAjAZLcQhC8P5uoPSztaa0HFED77X27bC848hI+/6wTfLEIYYanL1GwuYS5DqTFKP1qu7sG8WY2+QMRvr/kzDVYOxymONxWHuCekq9YEVSHIaKUCVk98P682RczElnExU89l2s7hgM9CoIUpBFoch+I1ypR5O6s+9HkGk2lCLU5WDjWGQJ0V3tZzoKRtwslx+d7VvmWxSJch/7ZRfu8qalCxqxB4Fh+lLxsbTfPHg+gh7iuZhN86eHhmKwBJr7DW9EC+cr2Ma0GY4u6MRiXvQAwBsfD7MhchJZe74vEolyFN44Eda9g/UMxolNN1LDWGICAV9wxEZ1mKSntcWB/TSgKPc5bNqxtK77daoJJ7njA2BF2GwH3HtPSVpl7OOjPpsc+l1z59Qrt8qTEEjfVxMlaO77z2RFWTK1GIQiAAwSxD4zaMUSEqJ3ZVFoJxJEqRSWcs9hzoLTt7pr4s4nGtqjzFYbN3SdVCEOIyFAzMHi2i6h68+61H84G3HVuIBdnX78aLNORyvtn2jG4XLQQRLkMDWmlhq954F06EtlzOaqGmHs2nbfTHECiuNN5ldLO3FBWCbBktvSHEWlNJ2PK1rdLnNMpCEJ7T3uG47gNsnubOEHfW5YjRr2yjCPRBhSBiVlvFV5la1wsKgW92W8v3U1kh6J3dxcLkAG/vfoBWuwsoKgQzMv5Z7qDFoJLLkJMeBQtBzm8hIB5hIYiwdA0lqDj/fDy447Vi/5o/qDhIXzp61rWihSDgbmfbDq+8vp9HntkW2n7crdmTeSZtAhF0GQKIWToNAw2+ZU12Hz32m0g5BgPOCfRtnbhhtL73YUznv9b8uSrXy3JM3LMhjCj+LEOTSyOIjiEIWAhqTSGIEPh/8gf343zC0bO55JxDK25bbdGScJehojCVCJlVHquKxVH7CQZJd2Vc3+0GK+eLIcjEnELa0aig4j69nmBunqDgU5eIFZSgcvdLQnEPymdp8cUQZIs+5lEuQ5kysoZrIfDPxA4m00S11gQ1hsBfRzmkqrG3bMeMV3lt1hFsmj7AO3eqgrRyTwZObFUWAjtgIfDqZqgBsfl3l2ohCCofAI7m0DnzIO+pT+PsLmaKqff85YMWgqRt+TtS3ykhz6k9ygoBZS0EEUHF5dKORrgM5ZVhR+kzp5fPx9WXCremTGtNVFQIYjHddx9btsMTz+8su81YEjW5JIwvYRaCuR2z0ANz3rajYVHMYpXtjk6yUcs4juNzoczaOTZ1D9+KJhYCwUV5T4/3pMtIowrHhhJY2945ENkuz3iei0qzX6+ub6sqzqDameOwWWPVNSXMP32sgorDimaBP41q1rbY3OPWl2i0sgELgVOYtY9KO9qn+2eToDSq4NLzDi3ur0qXoZTnp9ofi9OedLPhaKqFwPv/iPSWwpgdHHIVFYLAPgeRaaJqhUCxEKjWFD1U6HTvuXftWsOW6Qc4WG/RYIUXMytxGRpkoHxc16nLuwype/DSofoUgrAJDg0ytlWSZaQ+7zKUSYcuz1PRQjDqaUdzkQpBNuJclqtUHOYy5GjFY04q8QpZTfdZi4KoFoLu5m7aZ3TQ09jLummbqfQq0rXBxRCMNUHB06mxSaSpih3ioje9r6VkWYmCUM4vs4bxFfXTNKyhVHoMYWKeDWHEmcyGT/VbN392Y+GD09GV8qWyq7WMFsGHPoyglSOPKjxVmpUr1y7MTUhlLIKKLcuOdOfSPcHbdmy+8uJDvP7KY3zmtZU0WFbAQmAX6gP4XIb0BA+ddD5/nruYDcnDSvpvjxeD0k5ZNpdZ04tKQzkXM9VlaCAv/Gsar85Z6C1V/endv08dKBZ605Nx3nv5Ms49eWGov39DiEJQ7XWG6tPUqS5DGUWJqAuthls8H0f0dgIwLavGSkS7DFVj6i4NKi51GcpoGluaprG1uWjrye+raVqMhmScfbPc/P1Z28IJZBnJuwY1BFyEkrYV+ZIMU8pHykLg2A79L++h74VdPmHUjSGIcBkqk3b0EPt1jkpv5PSBF33rwlyGYnrRTac+pga7+2MIgmw+WCz6aOs2bTPb2D1/N72xAXpz5as4x2KBDF21phAE3ndhwazC2JJr78cKKQYYJtwGJyLsbGz83c6GQPBdmKnC5bIaRCEQXHwWgon3gJRDFfQTiRhzZxZzlu9pK6buqrXZKHXcUUGgHV3hGT3swAujGsKDist7FY6Fy5BqhahPxnwVlZsbXUFlW08Hewa6uWX9yyzt78FxNAac4wvtMhFpR20Hdsw/jIPxZvYmioHJebbWLVH2Vee7DuUsBGq1YrWwU1uhWnHx+mjAG1pj9NhXF5cl4yyc28zZJy1kekgweH2Iohav0jUMBhFUrLgMpRU3qLhdOiOnzkDXe8c8LVsUADP1xdSxwSxD2apiCPyFeIouQ8U2XYkE3zzmLDY1FhW5mAP99f2c+6a5fOLak+idUaxL4oS5BgF1gfHUW7noxEKhMQQjYyFIb2in+5FN9Dy+hYHVxbzjrkIQkf2qjEJwZG4tl/c+wqKsP0tUUCHYWB/DiRcLganzEVldwyozhWRnivsPTij0ZssrBLWeZSgYGxLmqiKMLQPrwl1lwlzkYkGR19EmZLXpYIKFat6f1SAKgQCA5tMIwts4tkNqYzv9r+7DjpiZrkWcwEz7AqWK6/72YtBjlCI0XgqSavkP89+HaIVA9beOsi4EqRRDEMZYuAztbesr/N2QTHDNJUdzkjGHd73l6ILrS3CGJItfuE/H7EIqUE3TfALOlYecQHe8IdTo6sumovmvQ3kLQfG8pZRZ6HQyb2HwKwQz2gJ+1xUsPGGKmj4KLkOq4K4qBHUhCoFqIXjjzEWcOWsJLZ67lA2kFSF9KHUI/EHFWuEY1BgCG50jth1OX8ootgX2zd7PgqbpaJpGQtM5pqudYzvbcAIz1vmg4rqA201SdRlyHGbs6qZnxVbSWzvJZEvfhSM1c5zZ0RWxJheuiDhO2RiCBts93qQTiD9RzuHaxhgrW+JYyv2UUY7ftRBE32uN2eLVbQoUO9Qq2KJL6hDU2iRN0EIQEswqjC7B73GU8h32hos5pUvtnolXnCwXSLAwnMxCKhJULAD+GaCoV3DfszvofcYNwBtY2MLM959Ydd7z8UT9pug6zGktWggOKAWEauzb43vxRc3o7jnQx8nHlC4PmhSrIUygDAqei+c1s1MpiFJNCtThsnZj0QXh8CXTmTuzkYvOXupr09/nF5xsxx8PsK0lXXAZAlfIzo99XkML5x96Mg++Wrpvn0Kg677rkM5a9PRlQtO5qrP1KcVCkKpzZ8k1zS48aBoQD2QssvuKH6kwhSDMZWgwimu1AcgzembQ3dzDQMMAmVj1CsHieJL5ypreeAIrWTxPQ6lDkAsGFYekHcWOoTuBtJiOg5ZwmJlsJLOzi/euP8jpHS+HJog5pXUBf6HUQpBUfi9J2yzc1Enfpk76nttJ54IYMwL9hPk0DwW9IdwtSNMsCAj++wd6+M5rT3Cwu4+TKS1Qp2OT9Aqw1dv+iQRV7d+ejIGmkVPc3jLK9c5qGmlNI+pL0ZyuK1SBmN5cD4q8VUkh0PVA2tEK9/RYJ8AIxoYELQTZPT1k9/dRv2w2ekiaZmF47D7Qy31/3sS05jre/VaDeEyPVL7D7rSgyxCA1ZsmQWl60lpm3ebiNzGma77ncziIhUAAAgpBxDs2tb5Y8CK7u4fsrp7whjWG+lHRNI05M4vC4oEOxUIQoRGMlweVOu5kInymftvurnAf5hHKMhQ0+b/1DX4/+2qqJufJZi3Wb+2gt39wMzJdvcXZzKMOaS1Zbz/wPU785de5cuemwjI1oHhdaz/dScsnpAdznU9vbA1Npah+amJ6aYXfx/4Sng4xLO0oQCaZd5tR7kkH9DITytVaCHKDUM4GU7PgkD2u25RqIUg45V2G6O/mlOcfLfzsSSSxlDSZWlAhCI1JKOI4Tkna0bxypp6JvCKgKgQxB2bXN5Pb3UvHL17l0LbjSDlHh+6nWXd7K1EIlBnyc7v9FoEZe0rHPhppR1U0ciUvpv/buIp9A92RQrKOzZJ+V5kPWghU94r8E51VFQLl+B3bIVUmXqU5VZxwaQwU9Qte95Ix6lpV36JigwrrR5iSGAJFIbD6MrT/32q6/7SR3hXh7wVhePzukQ30DWTZc6CP59e4la7tjv2hbcOE/3jI/TfRAsN7+jI89eKuwm/XZUiCioURpXzaUTudI9fmr0Ka2jD0inhjiSow65rGrBkNBTeazp40AynPraHGYidUoX6OEveg0p/K0dVT6pfrC0iuNstQFTEE01uSvO3NRxR+Dybo76GntnD/E5v55cPmoFwBVNecuoBi5KT6cMyVAFy2Z2txuSImdiXdj7YqpOvKsVq2g904o8RlyAKfpqzppZmWNu8Md+lQrREppRpmti5/HZXrA+iB89F42sLi+pCp7FCFYBAftnh88Ja9jOoyZJW3EDhrn2FeWzFd5EAshhUvjllH8wlzlSwEfqXevafDXIby1Z19ipwDRuscOv/wemFZn3Na6H6avGMMugy56Ujd/VSTqNDJWCPiahjVh0aphWBdpysgRe210Sq+J+oDCoH65Nsa4DhkleutzkDamsNAmXdKQhlAsj5wtiqckpiuoQUyDZVjrN/YTkDpVl2G0hs7Cmbm/pdKK3kLw0ete5N3JVXTBquEZdUKC553LJuBXJYVezawq68ztK9X2nfy0w3PsbPv4OAHPcLs2uefiI3FdOyBXuak+iO2qB5RCAQgUF8l5KHJKm4ieazu8gFitYIqfGqaOzs6b3ZRwN7hHVutKQTqjO/iedEmzUyIIDiUtKOhM9EhMQTB2fVq2bi9E4CunjT72vvKN1ZQC4CVZMcJFUz9FoKMbnP09Lk+YT54DHbT9JIiQ0GLwWAKf0W5DGnxBNTVowrPGqCrKTWT/TSdUXT5qNZlqFyhtJLxDcJCkCetuAwlQ03U0ffCxpYZ5BIJfKlHlfWVFIJgER4g1GUo1EIAXLT4GOxe1TIVfvz1qV6SsXi0hWAQ74gRiSOI3F+phSCvOEZNwsfVYm04HJtaB0Cj3eebTc1fiXXTiyma1RidTdPnMlDm/lFTmNYl/e2qcRmCwT1rY0rgGfNlfgoUCwzGGwgjiwM43e2+yR+VcAtB6UJnoJ871q3g5xtX8fVX/sRAzm8B7MumuX3tCp7au4lvrX58JIY+PALfqRg2h/32P/nXV5/lrLbhKaKiEAglhH2DrI7StF5238QILFaPJ//BOWT+tMKyHXvcrCNRcY3jUagtZ9mkPD9kTYPDFk8v2zbIUNKOBmMNNK10Rj7Y31DTAqYUlwonmyk7m6oqRiWxFBHZFdSPxMnzl/LJY8/3rQ8eQ9hxBJdEBWdnQwKro1yG4roODS2+2SvNAU3Z//QlO4m1FKsmh7sMlV6XUVUIHL/LUNKxsANnSCuTC/uR+UvJxuJE1SKoFFQcDCgGFAuB0q6gECjKn+PQGBAa4nSE7mfaq09yRtdB6qwQhUCD5CBu9xHJNBRxWsIsBA0xN0YjaogJxS3LdhKc1dfF9W1PcHX3/ejKVvkaAytmH0Jr1wyae5sLFcABsmhlXYbyd1ZdnY4VDACtoFDFQqqJ1xJhFoLCMQUOzWof/oytEI3jONh//KHvXW9TfObC3nCJkNuvvWMvr3e6GbzSVo49/X6r7y7ld1+FtLljQfDJ0LvbiKfde+3qHRtKNxgEohAIQNAVovSpsUIi8dXAx1rGDrgMASxUZtz3e3EEQbeEAuNgOOhTUqE1NSRorE+wZH5poRXwpyDLo/r291vVXafgrFyyLhYaND5UC4FK3vRrmyuxv/u32L/6Ok7ELLHqClMiyEamWytaCBbNmEl93B+cGcxkElqULvA7v01TINCzP1Uq+MV9lYoVhUCLQUOLr3fXQlDcVkv4z3mYcBSmqA3KZWgIFgK/y5BVMlMV9aB0xxMMxBNYeszXRg0srqgQ2KX3QLEOQbHP/GkMxhDEB4L9R9+371+3kkQwy5Bt4RA+6xjFSNQiiHYZKrUQNHr3eJQoHVcUggHnONLWyWTss6i3GnyCgAOgaST75jO3fS6L9i+ktzvHS207APdalVMI8grauacvIBd4PisZWPKFBqt2GRrrGIKQd23ebcjJ+Y81JwrBqOLs2YK9fQs5JaOcrRTTC7uDwlyG+no6fb97sv6A+1oXkmOporI+LTe8SdpaP1ZhjPDJv2EWgjA/9b7yM7u1gt9lyD3SOa3FwOL2zoESgVAVhMfjCHuUwNt8FpszT5gf2jYsmFSd8b593RNV5SkOfoTrI7JkxAZpIchkLdYE4k0GvNlT54HvudVid23Aef250O2zqstQiYUgXJBUZ420utLXnO8YLCc0W1LQZSh/fi49zx9YvXzVjpJt/RaCosIQ13W06bPwuww5aMphaAn/eMMsE2FpaAcTVDyU5GCqQpC07ZCvR/i1yPuiW5rmsyLMShWv0WAsBHrQQqC0C40hAOwe/0feUbZK2YfSa5+K7RStMmF1CMAfr1CJEQksDnm+dPrQ6S+59xvjXhaniIsbU85xv3NK4e+cdbzfZcjbfFZn0WVo1sFZfP/1pwHXayajRRoviDluxejjD59DNhAsHpW4Ic+0ZvcaVJsqeczfzqEKgeX9719n9U6MCbOJSrJvgIP2Vb5ldplq6BDhMhS4pqW1MmrLWhWsf2MrL+I99Y3MqGsIblI1ohAILhXSjtohCoGTtclsGf8gm0r4goq9O76pIVEIzMxkbV9grq5X8nQdfXoV60tzo/uhj0oVGW4hKB5zV3aAjV3hxVtUgkHFUVWKB5sn/OGntvCnZ7b6lvWnQnK3P/x9HCUQNd+/XS4eItJlSMloU8HtyXYc3wx0nmDgZH6bpQun+aw1m3Z0FhScPP4YAtVCoMP0OT6XobijZnmxIeZXxILHrGta6L0wGOX84CDjfzRHI6XEEDTlMgTfFGFBfAC5fDVpTcOhKHS/dVsxY1TQtSSIFUg5CkXlMKlcurxlQFXmYg443f7ZWocENmA5LfQ4FzDgnESP/YbC+vqQSsV1eqyqgOLCPjIj4DKknJemY+K0aMuZoT+ApjklMzf5asItEcW/9EjhWfO7DIUNQ7ML9Q0c28HRNPojpAcdB0ezqYvFS2JDKt2i05q9d10ZC4HPQjfmFoIQgTJvIQgoBBPFgj5ROXygBRt/sg3VQhB2e4ZZCIJKXtBCUGuZ1bMBS5SqEPTFE8NKBS8KgQAELQTVuQwBHLxnHbv7OvnV5hfY2BWe/mu8UWXW/MOiaRqzZxQrp7Z1Diht/NuPhxGkV3EZylfjjXLzqGQhcDTHN3MSRfAjHFWlOObL0FO+34NdqUIwsUr/QLiwZP/mm77f/oBivfRlF6EQDOiKD36FwGjLskMVm/4QQTxP20F/TE1/oFCfL8uQL4YgBtPnokoyder9SRYtHkjVGBhHVE2KoOWiHGpQvVr5GcLrVmhoPgtBwnGIlbiiRbh8edaSYHXbw7qLz1+l+yiYchRcK0md7XBESkn9mFcIlNHogNXpv14OMR6fdwhbTnhnYVmGpdiO+6w1BxSCuOPQoOuDchna3xmegWpQqPdGzKZe30JM8wLyA1aVed3tXLB3Oxfv2cHeROk9Ev2x10ItBL5heBqr4zj0eQpHV8R9GHPA8fyGKrkMzQ1kT5uetxCUUQiOO3JWsb/IVqNDuMuQd4zBmdsJEmM3EWmwHGbmkiXLLcXUWnIHOQ6zQgrJBa9pTzaYgau2NIKghcBSrNExx6kYuF8OUQgElwpapa3kgk8sUHzZbYf/fXkFj+0y+Y/Vj45YCe2RJFipOI8q8KrpzHRNC7xNxl4j6B0oVQiiZs3CLASqAOVoTlWFn4KFyaKqFPtm1yu4qWza0Rm6vC+q0nV/N44i6Kgvv9BUmVFxB1qxCFZ1FoIQhSBwPtRtTjTm+NalArPBMdVlKJfzLddmzEG9pxKqSxvZihaCMHehRfOaObxM4HmQ446YzfzZTUxrruNdbzF860IVTwcsPVihNnjOwu+FrCfAW2VeMWqAck8mxZ93r2e3UmwuLNNUPK4zN+imkX9wNX+Is9UVdBmKk4rF+GN/u295lgWRY2zUdH8RtAr8ccsaOtPD8yP3udgEazUoz4mT6ueaFx7j3Ts2cFb7Hp6YkeCJ6QleU+oAaGVmNnxpR8PGobmCRmdmgLQXcJ2LuJ46FLSKNy04yt9PUCGYFa4QRL3rprckmd5SKgiOGaEWAs9lKDBza01BC8Ez+zbzH688wsvtOys3HgbB5z6PrSgEunKzxRyHN3dlmZMLeQYC35DegIUgKF+Pt5t0OZehuGMPy6IhCoEAlI8hcGzHZw6dfpn/JV/fURR42lKl6UnHG19QsfKhUQWfjHJ8rsvQ+M4KDCiBqo31lSwEYWlHFWFBc+jPVf44xQMuQ9EWAjUYtPzLMUrwT5XLwNJVjDf45cPF3PGhxx+lgDqKy1CIYhN0ewqLISixEKgKwdF+hSAd8BdPRLgMJXQdWmbhUwh8FoIc6P7z3t3rn7EKO6fHHDpzUKbiZF2M911+DB+75gRmt/p9TsNmZ/PPg5ppKCg6alr4Rzpf4MoqMz71fv3ZxpXcvel5vvXqY2RtN5+/6uKkZhkKCugDyvBUBcTqDt7/cVKxOImAlqLGEQRpQCM2iMmBuhw8ususun0oaqKDEoVAUfo3PK/UhtCwNI1dyRhp5Vpqhc0CtTyI+d53oS6jmkOdHuOerS8XiovtDYnNAddCoHkKwaEts1jSVHQNC75WjzqktSDANDUkCvFSyZB3T+u0eq6+6KhBxBeMPGFFrAbjMuQ4Dp1/eJ0Dd64iHWI5ncikrRx3rf8LG7sP8N21K0Z1X1EKgaWpkytFjhqwWJiJmBQLvPuDFoLgAzFe6cl37uth/dYO0plol6El/b00DFSf0juIKAQCUN5A4HsJxnXisxppOKkY4Lqwryh8VTMTPdYE6xDkUf2wVb+8EsFqHJ7/gXRR6MvnnA9z5YDS7DKO45QoddUoBEFBsKE+Ir+zMo5KFoKgb32eTLZM4aaMO0PTN5ClUxEEB6MQaGpQcYiFIBhUnL9HOhQrxK5ADnX1/LQ01WEcVgy6TAVe0nGtuM+cMpMb12NQl/QF16qjcy0E/vFmIj5+sxSXt0MWTAttUw5N08KViLDL4i3rV6wXpTED5WMILDTihLsVqkHF+dnFnmyKzd1tPLBiMw8/taWwXq1DEBz9fsVVxqcQ9PqVKIc66nLN1JX4x0S/CBs1BmUhqM/pFSswV0TdX/BeV12GlHXqJurf+SPrsi/2daP6YQeL8akbp+0cz+3fWuh0S32MtoYYelMdiZbirGrMcYgpSscb5hcLGU4/qjiiK84/nMMWT+faS4/htGPn8fYLjig8Y2F1Nt542iJmTq/3LRtz2SwsG1nBQlDZZSi9vp2U2YbVlebgL9eMzhjHiWq+MSPF9IiMaurVUd3gGsp9p+xwhcDOWFg96ZJJr0oJEEaDAx39/Ophk/uf2MzLr/vfobbm/0419g49rlMUAgHwF4wpEdSUGWgtXwxoenEmbUFfHU0Zd3nQZ7QWCKtDAP4iV1nVQqBRMch6tFHz9Odn6svFEKguT774ARzQoL+KdGRBhSPsowx+t6tKWYaiFQIbosbkzXSWKjohbaMUAkUgCcsyFBVU/JeWBN3xXpq0Z+gO6BHBmUnVparEZSik6jN4rkTxOqLuKo1cicvQSQH3pDxvO/8Ijj1iFm99w6G0BgSlwaIWvgureZF/P3Qn6pSlwQ9j1Kydl/lHgxb9SWV58RxEWZpsy2H9Vv8HrhBUHNN9bjCb63Uc9d5UHmK7r/Q+OWfnySzuDVoEoj+JSccZVAxB0tKHPZtY3mVIdfxX01SFz/ZrgONoZFmIiqoQRI1WVxSn/L1gaxrPL25hzk1nUNdafJaDZzCm1oSYZvPOS47iHRceydFLXcvBwrnNnH/GEhbMKd6DYZMR+feR/zEc27dzaAxBJlwhcDJWybKwAp9CdahySUOETG4rz7zmvV9iTo6kE/390wLfsIyVI729k/3ffpYD31uFvqnbt348FIKnX9oVuc4aQTFeFALBpYwArL4ENU8oVWddj+9o4lMvLWLmQNxX0bJWCKtDAAGXIcVCUAtZhlSXofzHMSrL0NMv7eK7d7/M+q1usaUX1+4rafPsvs1VFAWqTiFQFYdKWYYGQnL0g3e+o4q8eIpCJlDwK5hdwRtAySLHAd0u7zLkC4y2ijEEnQmdXQ07adRNEgSF/KBCUDw/JS5DWnj8RUIvrxDoWl+JQnD8UbND286a0cCl5x3GcUeGrx8Mb33DYcya0cD82U286fTFpQ284XYnkqULPcoVJgNXMYhr3eQVh5ijEfM2ifrIWiE+v/lrF4/rAd93//VRLQROmO8wcFJbk++3U+bJjzvOoLIM1Vs6T+zZQE8mVblxFD6hP3D/K/d+jxKr4DMqKIejO9BuXxuyEy20va+FUjNC/VvXXSuTpsS1uEHFigVMmcF0cFi6cDpHLJlR1sUtzF2xuKy8e9NoUt5lqPT9FLZssjLa30x18qk+4ruj3r92sofdc/fw3q7fknSUd/miZpoPVdxqApd06b5Y0XrjQHKlP0PfeCgE5YLsgxaCYe1nxHoSJjTlYgX9H1P3BacFAhvjjsYVW1t9/tK1guNzGQpXCNRAneBM8Hi4DKoz6w0FC0E5H2yH+5/YDMBTLxZnE/KqTXu6D7OrVFFQqdplaBB1CCIVgowFIekRbTQcz/ScCSgAmTAzcYgC6lCH7oluWkKvKqjYl9rU+0LEnVzkNgDJ5NAsBJquFxTrIAn2lygEmqZx/VXHF57R048Pr0cxHKa3JPnQ24/l/VcsK8Ss+MYQYiGo1mUoT37GXkOJqfC+4HmlPai05rIhCkHBQqAp6VqVvXsLywUxRxP9STx640uDqkOQ9AZw3/ZXhzIQFzW+JHA/5l9MtuOwfOe60M2zyrusMTcdh/I5yqNEHc2JuJ+9Z0LNjBVz4E1nLyr8Vt+n1QZZBycjNA2aGkvvyzHXCMoFFYdlsJlCCkGQkQ6+zSfPiDmOEndlEccV2Ju05wsZzQDObGvk2p2NtOYy/ixaS6f7/DSDFoIj9vvvs1iP/7kbD7fosEKUeWyxEAijiRN8yyqCmNbXjuM4oUJWSyZG2hqB3NsjjD+ouLg85nMZ8scQjKdZ2rLswuy4phXrAVRbvTOKZ/dtKbs+KMQ2JEM+wAyuUnGUy5BlO1hpv0LQFpvJ91s/zA+fS9PbnyETCAILq8TrhNxvqguE3pysWG05WJhM92aAEvg/5qUuQ4qFIBhDEKEQFNKRxsKVrYS2rySoGGDm9HreecnRXHDmIZx9YnQmnOFQNii5YCGIdhnSkkn0m7+D/on/8i/3/rcKv4vXrM7y4gu8cx6cfQtaXqB4n2qa5vuA5ZKd7J6zh6alXl9DelzKb1TZZag4/vqcO7on9mwYykC87spYCBwbx3H45upH0RXlWrVyZNWYKcKfZ9/uojIHRVgICveMohAcWd/DGUcWFQLVQrC2cy+vHdxdcRxBhcA4dGbheVNv0zG3EJStVBy9DrzYrkFUE59oBK+FPcJXJ/+OVq0Detxihn4/M/W7adRfLRQmzLOkM8mAs8z33DqxGPszRQtB8Bs2p9d/79mBWLJKiTRGg6iaQABzc22R6waLKAQCEKjMG4yqzxY/4BoW5DIl1VTB/QDXooUgrA4BBF2G1CxDMJ5maVWIrk/GfbUThkNzony6vpIYgggLQbV1CFTFJozMQNGVoi02k5/PuJYBvYHuNDz78u4SC0EYr7SVVglWFYJYc13JegjJMqQWvvJE12B2zxILgfKSDioEZV2GABLhwplOX0lQcZ5DFkzjlGVzy84WjRbhMQQBl6GEjlbXgNbYQhhFC0HxXOUtBHlFIJi2OHhewX+fGhSFy1w8Q09LDwnvugRdiKojehutCpchjaJgnrTCP6+O49D3wm56ntiKHWFBU9sWfwRz+tvs6DvIxu4DNERMxGQGOYkQdc50u3gsQZch8FsIkoFxxgIuDf+9ZjngHtsPXn+a/2/VHzA7/dbLoEJw8rK5VR7B6BJemCw87ai7zlMWLJuOX75K/wuVlaGqxuE4dN5v0vajF8ns7hmRPodLMF5mpLPx5LPpqfEDenMdmgYxza0zEqx1AjDgHO97bh1dZ9tAZ7GPkkxlgW9a4JqPh8tQuXf+hX1PjNh+RCEQgPJp952MKuS7rh5hFgJLd2rSQhBVh8CXZShQh2AcDQS+gOIoP/6hEDVrnSco8NYnw19Cvhk6J9o0HMy8EySTKgpPy5ve6Fu3YfvBsspEnpX7NpUss+uKPvV6hEKgWgh6+zM+16eChSCg9Ja4VCnXJlh5uWxQMUA8/Lpq2Gjx8DGPJ1rBQlBUKoMuQ1rwQxqgmLc+2mUoqBCkQi0Exesw3ykGHOeDlOvqKtc9iMIJfBLb6/zB2pWyDOmKQtCcSbBozyLqbf/1TG/qoOfxzfSt3EnvM9vLd6jOZnT7fZn39nXylZceBqDeUs9TuIWgGqIsBI2pRupTpYHr+XeBlijez05gxjUWMZHxUvtOVh7YxoFUL9969THfOkvzX/f5s/yxHsWdhS8eNcoUJivnMpTe2EF2R3fp+pD+qiG17gCpdQfItfXTec/aIfUx0gQVgJF3GfIsBKo1N+m/t8Lu3wR7/BYCHXLKY65avwDqAwU29JzjS088Hi5DYbVnehv6uDx1N9PtkVMIRSEQgKAZNvAgBy0E2XSEhcAZFQvBcF8skXUIlBSTagyBpmujHyFVBjV4NuxFUI7gudozZ0+xX6u8gB3TNWZMcwW+lqY6EvEohUDzu9xEuA2F1UdQyaaLaep2JfyZT1Jpiy07u8puD/7iMwD9s5bSkzqt8DvKQtA6rSjcPPPybjYpOcELMQRJvwAUVAiam4p99wRyjscjAr3yLkNaPMp9w4YKlpyxoLnEX7tyliGtgrRczJIf7TKUDXxswywEqmVPFT7zE/J5RTZaISh3X/o3uuOoE7ln8RHeGqdiDIFG8T5IWhrNA00s3Xoov/6jWYin6ftLsWhTpRljZ0DJStO517duX3/x+VAtBOoIM2Wsijm9NNi53JlZsN+NXVF7zE+wqBNEwWRIUcrxzoj0iLv7urht62NYutvRScYc37MXiPAqM+LqcRwHO6pYotouzEKQcVMoh9Yd8BSCgbXh6XadCpMmUWS2F6+93V8bVnk7cPeMtGtN/nuSdKIVgrBaJxpZn6Cbsmzfu8GnEDjQkCu9X5uyilV8HCwEYeyav4umkmrxw2PEph8Nw7gY+CfgJCABvAB83TTNhwfRx9HAvwLnAbOAjcD/Av9jmmbJVTAM4xzgn4FzgQZgM3A38A3TNAdC2jcAfwd8EDgM6AQeAD5nmuaeYPupRbTLkJNVZ/0tyKTREv4Kk+Bq56kRthCs39rBY89t57BF07n0vMOG1Id6POr7IrIwWTCoeEh7HTo55aMTlWo0CvU4bM2mu6U4e1ApA5SmabzjgiNZv/UgRx/aWratrmsFRcC2HcJ8KSrFF6Q9hSCthQvtGwOFe9542qKSNqqA9tys+Syd805i+4uChh5R1fS4I2fzzCu7C3EJnT3FmV3dsWDGPBLTZkBv8fwF7wtVaO7tz/KHP29kdmsD55y0kIQerkzFy1oIHPdfDVgIrrroKH52X3HmMe8mUs5laIcznWVhnXnXKO/fqyoEyw42sH1auuCylbX9749MhMuQs+ll7KfvgVTRGpT/jru+5lnC7vZ6bR1NS/pY3fpGFr1S8olAnSP75SFHs6uxhZ5EHVfv3EScnE+wcMiiBfzydUUhiDvesWsaO/b28MTzO7j0vMNCXUsiadsN5I/Rf77VWc/6SJeh8G6fWtDNmfsB/EpvlIUAoC7nXXvVZaigECTIW36y/dNwbMedWKHUZagSPzCfJkOOLYu3MseZzvlnnOpvEJFWdag4tkP7T14m19bHtLccSeOJZYL2w4pA9mVJb2jHCbFm5a0GubbwYGona0FD5diOku2GaFkYTYKTUSPtMpSf0PIVcgxUrw9zeXPQfc/KX1bvpVW57XVHAwfmH5hPc19DqPtdUy5Gp/dGGQ+FIPgtnd5SBxqRroJDZUQsBIZhXA88giuYPwc8C7wBeMgwjBur7OMkYBXwXmAb8DCwBPhv4Cch7d8CPAlcAawH/gjMAL4IPGMYRkugfQL4PfBVoAV4EOgAPg68aBjGIYM45ElH2XjCbHEGwrUQpEqyDIFrIRhpl6H7n9jMQCrH2k3t7Ng7NNOYXY3LkK8wWaCDMdYILOVlHx+khaBfmeWy9UAObLvytZk1o4FzTl7IrBnls5FEZRpSPwqVFIKMV3ytR28u2w6gLqFzklHqR6wqBJamEdvhr9JYf/Ss0P4a6uNcfHb4Ix8/90r0D/0riTq/0B60EMRjOk3Kx3zj9k7+8soetuzsihSC4mVjCLyy84nxVwjmzmyktbV0HOUsBKut+bR3lgrZ+bOW8x4kNYbg3D3TmJaOFWYTgxaCsKJsMV3H/v1t0LYTdSIjP+vX6Llyhc0WNmpriDUlcRrDFTYHHY46jZ+f/06emLcEgJQX5H1IegfH9KsFwMKeJ4u8YKzjKQUeaze1u9sNIrBUlT1KXLSU334LgXJOCJ/1z8Rs7JDK0pVedc3xpK9mTeE2DzwrAyteKPwdVVm4xBLtsduzfFhxi72JjpJJkZF250y9foDcgT5woPuPG8u2DRPE7b4MmR3h1syCO1GEJcCJqp5biQoFIceD0hiCkRWcV65x52wT6nelMajQhr13Y/70xBpkKE4Uxew6jjkwjdaeFhqsOGFJx5uyxffFuCgEgXM7d7Y7IRs1ETBUhq0QGIaxELgD6AJON03zctM034qrEHQD3zYMo3Rqz9+Hhiv0TwOuM03zPNM0rwGOBlYDHzAM451K+3rgF7jvhmtM0zzbNM2rgCOB+4GTgU8HdnMLcAmuReAo0zTfBZwA/BswH/ifIZ+ESUZQ01dfZppmQTYTGUMwmkHFYcJGNagPk6a6DEUVJtPHN8uQ6mozWAtB70BxhjL4wR/JGhHBTEOO4/C7R9fz3V++zKYdne7yCjNEmb07yTgL6M9dwdndmbL5Xc87dXFoYJWuvJwtTUNTruOcvz6TWISFAODYI2YXiiOpxKe1osUTJe5aYWlfW5pKhea1m9ujswzlg41DFIJCHv8asBCAXwHKWwhyiuUjKKBmNdi2u9RPOk8+4M/CX1X5rL0t2JaN1ZshU6WFII/q8593/c2nTS11GbKJab1Q34TWFDUrq6GfcTlWc/G+yOg6DhoarT5DmK2FPU+Oz0pQF3JLDyrTjM/SFFAInHCFwN9IIxMij6djDk6IQlDOQgDw6ZMu4cIFRyvdqxaCIj3PF++DwVoIKs4sj3CWIaunereLMJchuy/jq0qsfhvt/iz9q/dGuvXYQ0xLWosWgmBWoZHMMmTbDpu3u/eUz0LQOpu+w08kpcf4yWHLsEOUT9dC4FeS1eDj+lwr79s8g3O6syQjJrFUN6JyiTRULNumKzM0mSVIUAc56bjZaI5DwwjXfRoJC8HNQBL4T9M0C7W4TdNcBXwd1yZZyUpwCXAisNw0zZ8pfRwAbvJ+/o3S/nJgJnCfaZr3KO0HcC0EAJfmlxuGoQOfwn1/3GyaZtpr7wD/H2ACbzMMY2g+KZMArZwZNugylE2FVn+1NBiooiLuUKkmyDQMVcFRJ3kjC5NpGuOZZUh1GQpm/qlEb3+0hSBTIYZgMPgsBJbNus0dbN3VTSpt8fvH3Vm2ii5De3fQZV9Kgx3n8JTNgozNoZmtoW3rQmJWwG8hsDXNF9gXprQGCRPodU+YP3Th9MKyc09eGFoYLmz7XM6mKR6uiOQVBT3UQuBdnxqIIYBo3+8iQYVAC71fCxYCLb+Vv99FvXWc/ZzDge+uJP6MP9tMNh1iIVCLD6gKgXdP1sfCFYKCZSLZhD0nygKmQSxOgxrjoWlYiQQp50hfS1srFcI1zfHXWQgRbgenEKgz7wGXIeXvlmxGaeU/8GxIpiHXQhAi3FYInprXOA1jetGlpuAyVBe4n5XjjlIIqnmv6iHjGcfwrlCXIbsvi9VbPP+xGcXnt+eJrWWtDuViCBzHoeepbXQ+uB6rx5+iOUwxGW+qyTJk9Wbofnwz/av3lqwrR1dv8fhVq5uT0Nn2pnfxD6e+ib/MXvj/s/ffYZIk13UofiLSlG3vxvuZGrNm1nsLLLC7AHYBggBEEARBT4rmUeJPJJ/0SD09PkqiPlKi+dGIoggQIEiChCMWC4Dwi/V+1m+N96Z72nfZzIx4f2RmZURkZFb1dM9Mz27f75tvurLSVZqIe+85515tQOA/RUICi8ii4tDWNxgGNX1PAFlo3Ik2oum5+K3nHsJvPP1lPDV6qO367Uy8loMrbPzt0aeQOQ9NYBcjIAgd7y9rvguX3Xeu+yiXy08AGAVwa0gDKpfLXwSwDn7WX7WQKiSO1pcBWA3gpXK5fFjZPwPwlQ7P8y1raQlxkfNK4IE7TanMnGina8kZwoWac441nMWAPqlTsaQzUDsVX0zKkOKE3nnd2tRt0wICtYLLQkx0FhnjGJ2Ic2TVgEAdqxtEdnx7PI61jl5kKQqcuZAuyQrnkTdzcs+MhCBCtLyGvxuiH6WN/fjYe3fiJz9wGW68clVsPQDIa0qzuh5Djx2vyAIIlCGtqDg49yVAGQLkd4Vw3USr9Ikgggh4JMqtvNzrc+DDJzNPXpa22zibxdC4v3+rLI8fai8KADCYmHQQMndhlaGgx4OG7e3/l83Dytn4kyvjzxoHBUwLeUO+B8zMwIB8blWqu4dcEhZbuiFrPuOYVL5WEXEHg5bFvNRMoRYhoAkIgfB3rwZd45xLCZbWI5KRr5dhCpqcBZRLXtGsgc/4VKvT1Rn88avfw1++8Xh0vovBU1cR8ZTEU5Ij7pwQEJEe/buv3V9KQNDYO47Kk8dQf20UM99WqqktRYSgg4Bg5tsHUH3+JGb+ZT+aKWhiaGO1WTjMw5gwv0hBtmlgzmm0qEI6yhCHIQUEHoHUwEy0bTU90pYTSgh3Qhn67sm9GG9UwMHxyfKTbddvZ+K1fKN5AkfmJpBzF7+i44JExQHVZyf8cUTXKnFv8N2uUqlEgoy8znYF/7+a8H0ZwHBwrKcBoFwuxwqQl0qlFfBRCQD4zDz2/2bw/+UJ37/lLa3ZixwQMB8h0GSdDA6crc+h5jaROw+0B2cREALxvJOy71QGCC48QuAmBwRX7xzBprW9KOYt/PHfvhDbtlIVKEMqQtCBhqBTUzUEOvRGHLdXDhXw4N1b8MzLp/DCG37FjboSEDAAl9dfw5PFG+EqnVHDEp/87AmwL/0hYGdBb/8wBmoVeLyIafYObDzVE90rk3bUt6GQiw+BIh1qeCAunhdN1zDmzNkqbMNEzrBQUyh0IWWIaRCEpUYZMhIru4QWRwhe2XcWjaaH3Xf9BPKP/x2quSIe7fZzNE7wQGTJfkxafbCau2J7pE0GyiPqituMv32Gp8+GN4NgKxMEBGqTogghyIOC4GzOxfPDc7hmtCitBcPEUE7WtXArI5UUBYAmKcaugR9SROtlF4oQkGSKFg0+Fx0VlZV/t19pSN62abBWACVad5f/7Fkmxe3XrsGbByew90gk0m86THqvWwiBIqKnGaGvxzwpQ6HtmB7HL+/dA/bS4yC3fhB/Rj2cqc2iiOjeTNQrKXs4Nxv906fR877tyG7uj33XCVXH6O08IJj5zgFkt+p1TtVXIrSssX9C+o4pgQT3WGL38wtlnYiKG/vGW3/XXjkDe1V3bJ3Q/uX46/jioT0YzhbxbiMSlouUIWZSzAlN+XR9CAAqJTQYCDxPr1sbcJMQAgGJ7CAgmOywI3enJlZTC7U32UWcz0NbaJWhPvh0obFyuRwj4pXLZbdUKp2F78x3AUgKCcPWm0mVfsLlI7ovS6XSvwXwAICb4I+Gv1sul/9ssfavHOsTAD7Rbr3Adne43sU30QFWX2TJ2fOrDOnMDGbxY5UpbOtZ/EYyzXNFCCTKkB4hEI2qCMEFNlFDoAtadJm70EJnG4hrCBYVIRDO6+W9Y9rykJ4i5s5nLfQK5T7rVP4dWV6DBRcZ4sUCgk8efAKb5/rxkTefA2b9yZF96Q9xK4Bx9hG/GZkwPnaCDgAR31y0+XSE1gUEDcfD3iOT6LFzqCmlDEOEQBcQLDWEQKIMCRPqn229Ev9630sAmZX8TJcA9dkGnn31NMYmu/FDH/p3mK1Mgb3wNQDAmWCSJISDWocBTUAA+HzdisUADrgaCD8JIQh7Z9kBzUblw4cBAckWWlqnhzZOwIOH60dDehgFDBObu4ekbbmdiVFxRi2K4VggzEFJpXVd8rqMsriozaMmH1PVEPj/d7ny1Kse0dG8Cg2DaylD/f15/PQ9m5HLmLAsA5vX9mLvpyOBcKPpajVZdHgAgECNEE77XAOCG85GtBL+2BcwffUdsQ7fCxV4enNNNPaPS8u4wzD1z29gxb+9Jb6B4DDaG3rRPDwlf0+QqltSjc02MfnF10EyBjIb+5DbOYxjc5OwDUNLN2udo5LJ5k0PJHdxA4KYhqDdvWmTafvioT0AgNH6HA7VooDIFK4Ltygmm5HzrdcQxBEC3hgGkK4doai2mlyei4ZgMU0E28OhOKtQgOtsE+p8G5h1BMmudrotNCAIu4WkhUOhqqKI5LNstx9xHzr7EIAbg78bANaWSqXBcrkc9nRe6P5F2wDgjg7Wu6QszQWWEQIXcPQBgRE8qScXKSBQKSfnoiHwIe7oc1LZUdEW2hF4oSY60mmi4su3DuKVfclty+MIwSJqCIRr9KIQhIgmaTdCfrfY3VdBCMLMR4Z4qCjlHE82J3H81Dg+tP8FuWIEt6TOxKF1oh8A9AHBfDoBZyz9EHrw2BR6unMxCl1YdpSZNhhkziYBAwwL5BwdqMW2JITg1d5B/ODG+3Hlk/tjAUFoh0/MoFZ3JWdQnKxt6mrLggJA3vEDAsPT3wfDFccfkRscPD+B06gJUf3/Vm7C+qDsKyfARDf3SakIHHDDwlBG1hgQOxvzX05mDFxW1QQEiLLWBSUgcBtygKir1qbsLulDCyEQ9QMA8MZltwAnos+6XgRJGgJiUHQXheZzhGCwL4ezk/4UWW94Wk0WzWZRWD2JyolAjC0MPbrGZIyzxCpDoa2vyu9O1nNRN8xFExFwl2H803u0/QN0VXw45xKdqPudm3H2r56X1qF5u233aXMwL5UhbRzwnd3662M4kK/iT449AQD4j86ORE43aygBgcP8wusX0WKUoXYev+jYc546787Mic0MhWMYFAdmojmQa8ZOhi5J3M/QXjwPAAamW3NLtgPKUP3ABBoHJ1C4ehUWm1cgJ2n9v6XKYpxilvtuqddMR7XTbKEzT/h2dKYPWvh+kvbxw/Bfh6sAfA/AxwF8t1QqhbP1Qvcv2mEAj3T4b7qD/S0NkxAC+SsR4ibwwJ/yJRfmoPzgGcFbdmaRdARqJF5vzB8iU4MBcdBJpgzJyxe742I7c1IoQ6LdcvVqbF7bq81SA4BryM5Ku8Zk87FOxM4SQhAGBEJ33zrUTFoYEMj3mYG1gpsT+W5li4SOv50iBBrKUCHWlCvZkq791GwDPXZ8hg4bkzFqaAYjtmTQASAZIQAAt9ALUJnGoIpEDp+cBhUmaLEMqJUYDgB5179GBtNfW3rklei0JA2B/38rIIghBC4wtBakqx8juW58ZNM1uKJ/Nd65bqe4d8AwQAjBhzZdDQqCnX0rkckWIQ6S+7OGtugoAYeBqJlYXklqTD+iCEzbJR80jkBr0+C7olDI4emBFdh5zb3SerpuxUkIATTomBjE15uupMkSx1NrS1TGlwsel06c3mRebDb+7L5n8O0TPnv3yslRjNTl/J2+Kdy5RwfOWEUfDCSYGAwQi8Lsy8Fe2yOtY3TZcjpXscymPgz+xNUw+vTe+zdf39P6+0xFP49yzsFjAcHiC0zna51oCETj46fAPBdf/PZe/MlnX8TXHj2YWEmwKmjjbGG/TcpwdG5C+Nx+3PdIZw6rQaZaf4uUob/Z+5R//i7D5D+/gfHP7EHj4ASmvvg6antOY+ZbB9RdLdjEa8kJYHsefuTwm9GyRWopttC9hKmQtNg0/G4uZZ12+0ndR7lcDvMhe0ql0gMAnoNftehD8MuTLmj/yrE+BeBT7dYDgFKp9H1cImiCBEyrL7KrUIY4Bz/4Mnof3I4zn3kRRsDzNQOn4XRtcVppu0qWptYm86KzJLoQkNwF2C87evFQAq8NZSi0fNbCg3f7lU8e+v4B7BO4vgDQtJsgIK1M3PnSECQZ1/R/EB1ol8hc27DRbQZyFtUzvdYDOmWYkGXVCSjPAhAC3bIksxMCgpOjc1i3Lc4lDhECD/GAgIAtGf0AgJTusIBtWGDEwZ6Cic11D69p6vpPztQxsjq6BiJCYBIOblGpTGxoITxvJiEEZw6KZynsPwgoqYnbrlmNo48fVbb0QG94b+vT3atLuHt1CbU3xqLMTabYugfvXL0dt67YjAw1wY/uBxB19uVI6oQsU4ZUhMB54zjEaaitnkBMaOy4EfSq3WB//7vSL7+7dyUAv4nc+qH1iGkINO9q3dRrCLQBgRjEN1xFVCw8IwJaxiWEQBMQaJITPzgdBUv3nDoS+z4KCITjx9bq3NiMHulOMrHxGAnee9otJzWslV3IX7kClaePQ2et7bKGNiRmwvPgMg+6jo/cYfHCH5r36FyteWoWs98+AOf0HLI7h9B9zxbQhHFOtHkHBKcP48QzJg6f8K/hmwcncPTkDH72Q1f6cxYHVoyNoKvSBdqikLKASuXf+Umv0TrOULaIcZsivd+2f+k6uVomplp/5xQNwfHKJAZPeGjs9elmk1+Imjg2j02DX7u4leLk3CjH3WeOYqAZjUc1rqdfztcWihDMwHe2B4VsfMuCZYMA6uVyeSplP2G5h6QWge00AC0rl8sOgH8MPl612Pt/q1qaA6wiBADAvvxHMMgsjt3T1/rOCFY7U10khEARcLUrY6kzcRtVCG1bhjYoUC/FBQYIzqlT8cbVPbFlTaspwfKLSRnSldtUjekoQ4Jz4SkIQfhLswq3kwh15iyu/gb9c9spQkApiVGEkgJFnWVSAo/qwXi+paUhIIaadIePECyNkqOAMiYoJ1uws2CE4vWCiYcGMjioQVoqNUemDAn3inIOJNyjQkB6pwkBQZ8XBb5cFAsGf9qGgat2jGDbSjmwI4SBbLs2tj9pXFi9VfrdWcPyP/eNQCpFTOKi5eAbCSEQAwLKOXhTub+MS4FzfG+Cw90zIHQCixCCNVYUdK3oi8vg9AhBEmUovnJGaDpWb3qyqFi4hVLpUU03Y9HaJScKmr4KxiI3hFJLebYzqR9PcE0MJSAwrSmQN76F4i36qmThcEwy+lysJSArJOG50FUmWkyEYPKfXoVz2n+G66+PJQY3sXMQ5pquuSKeeuY0zowni76bfC3Gn39KWlatu6g3XFTqFfRO96BnrkcIBgCQhlR2tCF8lTUsuKA4lG0zfhOSUJ5UNoNEBI+cUqd0plmHO1lXN2nZYrMKuIIQPHAiSoo0+UpU+e5FOc6CAoKgatBr8MPYbZpVSsExXtF8J1pY/Wen+kVQyWg7fNrP68GyD5ZKpb8plUrvSNhf+KaHI1Ti/gPbEfzf7jzfsibN/Wr2QcpyRYMyf/HbcIVJJdQQTDQqi/JCqAjBOcQDCt9VHgQIIejRCMAWUiavE2OM45V9Y3j9wLj2Oomwaaediof64+AXM2p45+rtrc8O8xZtoLrh8pUSx1xnTKEMHZubxFeOv9Ra5kEpVRisvpXKteiZGU12tpJZVGvat443Dx3AfAIA1ZIoQwBw9mScjhBShjxCY1kqAm9JUYaksqNK4LWy2AfWZvqoVJ0WIgLIlCHKOKDpZQIAuYAyRDWlTrOshm4mArnxsqOUUJgGxda1siQsqVSy9NNIAgVteB3U4DMRIUC1lf3N8aizaq/LQTTXLBUlUL1v8RqGnZ8FTRexczFuvooQNCgDI9AHBBrKRTYTXbdvP3kE+45GAZk0Vgq9NSTKkAYhaFfgQOf86yhDBMDzY0fx/zz/NXzruK7QYbKlBgSawIiJCEFwTTKb+qKKWITBfP5T4E98GdbJR/W7DUqS0sSAQKTp6U+NN+PB0mIFBD4dSd5X5bkTCWvLFiaALMfCqtFVOHasgm8/GUd6WseCDY/Hu8V7h15F/q9+HTvG4vfAMmdavSkYAAc+WtI92wV7Oos6o3iuaOGNXPr43xlCEInNRQ0B4D/3LO35WeSAoC71d1KYEyzJrZ2/LYZ67RvB/+/XfBcu+9oC9nEzgCEAj5XL5ZCLUoKvE/i5hP2FJMoXAKBcLr8B4AiAq0ulksQ4CJqWPQD/Kv9Lm/N8W5g6oTChORAlQsm/idNSQBBWGeLorDRXO1MRgnNxZmW+a/z7bm1jKrVT8eLaawfO4ltPHME3HjuEJ16Ua6GfPlvBsdMR5UrXHVdn/d0yPaXozeLGiZO4c+VWySkTJ2KPM5ytt2XJaW2gN4ePvmdH6jpSQECAP3j523jibMSv5EQfEGzCady8O8qw1fJRJsaOVXhIGMLm4eRbHaIJOksLCHRmEAEhiH271ChDwgflZIfzPfCEkpg0htwAB49PI0Mt9GV8rZGYlSOcAQnXLh9k46hSaWq4P48PT39ZPcvWX4wAv7Dz9ugY2UzSqsrylGxI6+DrpEuQRhkC4ZgV3tvuILGh0odallbKUgyKKJFuCuE+BU0MCGBlYvdK7UNQN/3jeZo+BOZQXJCYtWXnVexGLVGGJIQgOk+dqLjpeak8bkOT/QmXKUoK/OWbj+FEdQqfP/QiZpvJWVvRnNNzqD6n73kCAPA4xv76eTijUYZbdMRDCk190MZfXHYK310zhRdWvgkjqFtCjsRLQhPbQLbk9+Qgmv4lAGALgZQuIAYQc9iBeBnSc7WpL70eX9hhdb8wIOid7m0tOzNeTZ23V9dXxpY53/wbELcJcPka1TI15OzDrc8e8SvydVW6sHJsJcyjQXljSvBil4U0t7+dqNgzn5f6idiMQoyf//nwy3Bnkp81urhgFo7OCqioymDA4s0ZixEQfBI+ufI3SqXSNeHCUql0LYBfh1/B58+E5ZtLpdL2UqkkchwegY803FMqlX5GWHdI2PYPhPU/E+z3Q6VS6aPC+kapVPpPAN4BPwD4J2GbP4ePZPzvUqlUEJb/Dnx040vlcnnx1SCXiMn0APk7Jjz3dHgw+jA1CofGEQJgcbriuosQEOgq3YimQwhU7uNiw3+j45FY7ulXTknVkx55Vm6voeuOqzNLyYh3szmsrs7BNkzYRvRdSBvinOP39nwT/+HZr+ArR+RGUZ3aUH8e77xpfWx5+CiJczqhxK/JTwJxJ+TycUCU8XSdOh7D6yhc3sSD79iM2Z4IurVZZwhBpxoCAOjr6rxuuGrtAoKcIdNWwoyqBxob2MkSpgypCIFpWPCEaz/oKQLjwJ566SSuHvBzMJ4SEJCM/tr1NnxHgAjZ0qt3juBj79uJPjYlrStSanYNrMLugTXRMQpKpaCE4FqkDCXmMYp9QFdUL55DV8UIaBAbLkzMmNE+u4JSlXbCOJKGEEibUAoRpaDgPuLkCAO0piGeozjk9YDbSZRfQCyK7M54dbhswn0C5CSLGBCIVC4dHbXhOalVhqjmWnVCGZp12gcE3GWY+HxSS6LIvPEaqs9H2XFJQzB9AuzZr+Pl8eM4U3DwyJoZHO2OkF2i9KwY/j9uwtAvXAdrhY9a6fr4AAplSHfujKO+P/6usarai2L+5lWaaByYbL9igoVVhbIKLW6+1QFZoJsouhZWNnzN4uHVR3B01THYgpSfwS+UsWo0HlTYrAH9Gxptm2YeafhFSAQ9my1kAA7OnsXseLJW0ljkFgGukAiLJWyXUkAQdP79NQDdAJ4slUrfKJVK3wDwBPzeAz9bLpfFuoTfgd/E7APCPhiAn4Qv6v3LUqn0VKlU+iL8hmRXAPhf5XL5IWH9YwB+Hv4d/2ypVHq+VCp9GcB+AL8NYAzAB8rlsjg6/A8AjwG4B8C+Uqn0+VKp9AqAfw8/ePilhV6LS9kkUbHwd/XFU3BnBfh3oDdae3YcntB4yRDeMmcRBKzeIlCG0kTFANBTjDtgjsPOq6hY3XdFqFVfU6pHdKohAIDNI5EzcEX9VVBw2NRATui6Wgugx4OzZ3EkqM7w8NH2k2OS6bQLnPvoANOIigGABgO1pdzPMLY8OzeJfTOjeKFyGBOZGbjC8C0GBJwaSBrC5kMZuv3aNS3H5l03b+h4O6D9/ckaeoEya4U/8lLSu/j9O87V5E7FQN60saN3BX5z97sASlsTNwDYXF+t5fnXzmB1oReAihDwlsBStV0Tedx2olvKkCbTuoSMubIK7VYoQ0mPhPg+JgwyhBCQy26LbaeOchWaR5PYCkLgP7/q8x5ap43KiEElhGBVrYIuxsCFvjDEysSeq6ZyXUKEgCoOEy1mtOJRFSGQthGvXUYMCKKDZqiJDUW5ydd4o5LKquiUMqRaJ1OEO1WL1fFPstqrQl8XMQs/cwr80c/DOBrRlITcGChxkN3gj7v561aD2gaocB2T7rkpIQTx72e+dQCVp2I9WeFNd4aMpBmrLCyoCOdayuQHbnK23r4ngWAeoWjylbh1xsJd0w7WNxhcwwWIXHI0RAh0luWNqNGj9hjp5+ASBmZlpIAgE9KGOPDuI73ITCU/Q3SRAwIxIfOOMzINa6khBAiagL0PwFMAbgVwHQLnu1wu/22H+3gGwA0AvgBgK4B3wXfUfx7AL2jW/zSA2wB8BX5vgPuDr/7/AHaXy+UXlfWbAN4NHxGoAngv/L4DfwngpnK5/LYVFANILDuqtkynORPo7m+taNUj+FhECJxFaN6xGAiBJCrWDAIbVsc7JTru4sCvSab+DrHMaF6BkjulDAHATZuzWOmcwmX117CtuR+Uc9jURF6goVSDJkYuW/i1BXxx8R3XroktZ5zLSIuAt4aOiKkcMnRFMgK69FdvPo6GIDAUKUONvhEkVxnqfGgb6M3hxx/chQ/fW8KuLfquoUlGCMEtV62CaVJcszMu6LSp3gv1NAEBIQwYil/Li2UyokbwI5uvxa9efjc2dg0ChMITPHCDe3j/LgMDvXJW3mO8FRRJAQFjoBp6SmjvPNYLKvB2LZOCa3nn0TpU7ZabV4J9XVUdoDPKEAAiiHfDtVTHokkMTBtdqAn7DAMBO0kkmqohEI5v0Ngg9tF9e4BDAsJnZ2NecV3VEATcPBUhoBphONAGIRArUdmiYyIEaoTgVy+/G6vyUfLgTG025iSuq8zg/cf2Y2VtTuv8t1CDlCGxXWUbAPCmOneexaBVogwFjuLw4Uh2qAYx3ZumMPwrN6L7zo2x/Sbdc8sTAwL5h3LOUXv5tLoJAKD6wqkFI9msvrCAIDy+SvX7wxe/h19/+kt48rV4IKM9D7YK0ywqnXvLjNMqO22LPQhAUgKCOtIQAk4IJgQUT92LQzmcrn6JNnT/4T6860gvNs5kcPOp5A7LAECT6IHnaGKn5a2zU9J3HJ1XxWtni1O8FEC5XP4qgK92sN6GlO9eh99ToNNjPgngwXmsX4WPIPx2p9u8XYwoEQEfPwn+4rcBbJLXs03w3mFgxhfc2JVJ+BKPqOwosDgIQTwgmP8+VGGrav09OYwM5HFGoPE0lRJui/tqy/X5AcARIFW15GWnlCEAGMoxfHjmy9G2nMOgVBsQqFei4bnImuc2sFyzawXWrOjCZ78aZcs8T0YIJOZDMFD3KZNiOAGqtCDRMsJ39d4R5M/q4/gkjm6S9ffk0B8HOzqyG65YhesvXwlCCJ5/XRZE2wkiVV9DwCFfGQYyuHQCAtH3HMwUce2QIACkVBIVUzBsHM5i07U78PLeMUlMePqw74B50hjjwb5iGFPPnECG6Z/xgUaks7BMCrhxFEKkjKmUoFhQmPAiy5Sh5LddHH/Coc4j8n4dSjBNeySOcpjpTUIIUjnaolNIaAwGKU0qTQGtbIxS0FDGvVYVJ95ZQJBJRQiE0xMCAq6Uy8yZNt69dic+WX4SAHC6OiP16aCc4dfeeA4W57hh/JQ2INChBuo41q7ZGTC/gIA3PbC6C5o1ZcpQEBCcqUcaA1NNgk2fTRYPjxRQf2Msvlx4cEyV6J4GkTOO2W8fRPc9m5PXaWNpqAn3mB+QplgY4BHlvL0mMNts4OlnTyMeGsWNuNfFlv3Oy4/hpb5BVGiUsGEkOfFocA9Ek3R5uiu6H4/02HjnVBM24ziSNbCtFt1fFwS13mGQsShI2jHpJzC2T8hJj+Jta9A4PAPnWJQcPT41DjVx73F2zl275dQMA+eAi2Ew2OCxfj7nbouCECzbpW+qhIB95U/BXnokviI1QXqjTGi+EvEZDU5aSbjFKHGpUobOJQMiZt+thCoj990mBz2O48kTzSJHBGr5VOkcFSdGvQZJxsdPgk/LE4wV/Iqc4OiHAUFDCdj+4o1HMbaA/hEjAwWppChjTGokx8VqVPBAOMemmuKQBP/HhcPB94xFjgKhqHX3I2kIy24b1C4/X5ZEMUsKCDwQjbCNBeUtl4aJdJA7V2yVmoz5CIEoKmZA8JxdsW1IqkBVfn0G4H5WrrU5YzByFv6+NIoMOQBLU/F5VU1ECAzA1WUwhX0qjm/sniSINCWvNpWXGP9OdbZdQjFtdEsZxzCsSdIQzHz/UGdH1CAEMbPbOwd99UCjQWSeO0nov5FNcGr9fSSIimGAKaVDV+SirOqZ2oyEEORdN6gvD/Q4zYSAIL5MXdQRQiDQa7ru2ACq0ZFJ6wdV36QqQ0HmWKqcpWrPpuMOf2j53SthrSiC5i1kdwy1lotBgK0MEO2oZdU9p9A4qNfydGJpHZZZBxSr8NcTBSEwXROU0VbRiHOxfqeOu0aPo68ZJQU8JFOGfG2R/N1nN0/hgBD01gyCh/ptfHEwg3GFkvj1VZvgmKZEGQptoBE957mVVeSe/i/orX0O1pqu1vJqTQ46P7vvGfzK4/+Irx97re1v1ZmYsKXgaGINpth7MMPuOaf9JdlyQLBs4K4D9s1PRp854Ey4mGbvktazcAowTEDgOefmpuBIpUf9/91FCAjUl/1cNARyQKB/3Pt7ZCFe02UyhWr+h021tIBALbWqUoi0+ys/A/Y3vwX+L38tLQ/dtYKAEFSCgMA+vg+/9cqT+MgRv9vhG1On8Zl9z3T8G3QmOoFff+wQntgTVfFgwuBM4SLLgGyChsDirFVjXTQRHYCVwWS+SysqtlZ2wdSUYb0YZiUEBBw0Vv1lKTcmi90NBSEw4LUCAiCOghFOwAlRHGWC4101dNMfoECfix2/4IoBAQUcnU5BpAylT2c8qbRIBxoCfwfxP08qpVNdQjBtdCuOov+/leDPuQI6mXZMQklcKKGaldEiqccy0XavDvrH40SuEZ+EEBRSxiBJZ0IIJJpGQ75fA5molsd0sw4vxXnX1eDSNSY7l7HZm44CIa9oou+D6WUbvTn/d4iUodBRFO+zqSIYKQEBsQz0f+xKDP3C9TDXR4GSWHbUVvhoandinc0+dqTtOknGasmUoU7KmrY0BErgbTADhmcsirM5IKD3jCQnzBihYJApiceKmjKhxB+XRu3onKcNgjkzA5cY2oBANHr6FcBzgcnTIG70HttKmdIfnN4PlzN8+fBLqHvzp2aJbEfCGWbY3fPeRye2HBAsG/grPwA5KWoFOKbZu+FgtbRegT4LGKYkfMxXpuCJlYaCSXfpIARCDfsOeeWOqyIEixsSxAMCAaoUgoNc1sRQfzLPOjT+7c9ol4fumY4ytOXbn8HKehV3jJ7Axjm/is/Z0cPwvvzHYN/9O/AORGCcc/BKVAFIDAgOn5Cb0zFh6jbgIatxvKhw1TOa50dCDiwb34UH3RCW353Uf/DCm63pNAr4GoJ4B1kPSBAhXwwTnb1YU0AFITA4k869uygHNiEHVnSgDM5apSTj8txoLAH8gODM7HhsHTEgpG0oDZzrv++UMqQLCE4oIlxOCCokLwU+4VEtYRwpkGejFVJRQOEZMQylFqzGrKx2nHymywIZzsMcKeBYyb9PEwWltnoSvSVFoK8CFmLIx5tyQCBSEm87VsY7n/gKNgflFGPOtMZCypD469Tf6nUybgni4L88/CSOZWqwVnUlrh9mx6XGZK2AILqGatU0TJ9NHUcJISCUYMyJHMmQMkQ4YCnP69yTcQ5+4ca1sNf3tj6747XYOp1aGgrA00rjhtsH3YVVDQHhFCYztAjBfL0EsXSvLyrW78FHCATEmjpo2vLvq2SrOLTmMHj2FECqeKHIcDhD8ViPBZfbaBoGCEl33g0hqJYqEqXUNX1z6kzid0lGReozOHQdrBfDlgOCZQNOH4SUdeFx5TrFHCwyHiAEEcRpz06iKRTdDRt4tGs804kthoZA1AMkUYZUcxwGcSI+/xoCESGI/n73LRs622FDn2EMh0M1IBCdeAAYrvvbf+Lga8DBl8D3fAe8/CzSjHMO9sU/BPuf/xbs8S8CAGiKAFpECCzm4r7JeLZXnDDUBmSAUmHItPF6swqVRZzdMYTsrotXqefK0pD02UzSEHCChupMEWgbQ10sE5PRMSqGRkMgohu3XyNrIcKAQBQWG4gcQV1AkHUiB9I0Kb526EXdWUbn0C4gSNAqSLNg2iCj+a6qPPMMgEdMrYbAFja3SOQUpDpbkvjGQKqiFkikDDUoQf4juzD48avwkStvxAPrr8C2ez8uHyrlPHTlhQGNLkvsbdCUnSmLGjAJxerqLB44fgAjE6fxK0Htjxj/XmOdUIa8DvYjUm9q8PDJ8hPouXcrjAE9qsiDzLlEGQr68TAlwJVPxgGc9t2QxYpoYUCgc55rL8uOZM/921C8dR36PrQraqTmsnNqUsZdhmpaAzK3/SzIOJfEr6FRRnyEQHP/2vUDAORkUl64dwwEzab+ftvDcjKzadXgUaVkNWHYONSHK2/cgJ+e/AxWs6fxRI+NaZPCcrJoEtoeIUA095JqlLBQ0R3R9k2PJn6XeBzhuU6rnrRQWzqzz7JdcGOc+RkWKwMSvnSca5351oRNDSAoIwgAXa6DqoCF553zGRB07pqfODOL1w+MSzz2tI60NwmNsG6+anXbeXchpjpXzWCQO3h8Smr603HJ0a6opB/nQIOvRZ1tblV9kgICpwH2j78nbd4IqrNsnosCBb7v+fRjnj4EHPHLlfKnHwaA1M7FYhuitXV9Fpy0RQiiZXPB/n4wFPUZzGzrR+97S+e1ZGw7u/VqeSIyE4ZYj2gQgqQqOBfJRIQg9uoRKvUhoAplaNsGucykLiCg4LBYckAgXjnLpJirzsTWkUTFbYIpY6Co/0LSEKTsQIMQNFTdMiFwiaFHCKQsn8Ax9nji2Cb2WVDLjuqMUB3Zxjcz+J2D2SLes+4yrO2Xn9W063f51kHcds3q2HL1XZMQgkY86M+ZdguRBCLUJJZd15g2IFB+bRoNCfDpP6wanZdLOUbrczAH8hj8iavxB1edwEuDFckJTUMIxCDA1KFLbnuaj6EJCDI8PXllDuWR2zXsowyEgAr6jzQtQJLVy2flc+qVabSdlMZNDAg8isGqHasqB6QI7cX9Cn9nBDSdEcBp6M/rjptkcfXJASs2p1NOcePIRrxz/eXA0FqMuBHFK9vMokHJ/AKC2cjRt5OSD8A5UYbEDqu6gtWLZcsBwdvUTlen8R+e/Qp++/mvohk4hJfPOfjA2QbWnI2LS1sTtmkB2XyrYkjec1E1hSo5rr+vxQgI1IYmnQjGAGByuo7PfaOMbzx2CE+/HIkV0wKC6y5b0fq3e/vQBRUVv7b/LDjn+PJ39kvLOw4I+qPGLFV+NWbYOzHLb0em5gc5YkBA5yaBSTnT1DTikw9pU3GIn41nk4wUh0JECHIJ2RORMqSrNCRShs4G1KeDQn1z0iECdD4tY5sYGYhoXmYCtMs4iQlSk5oVXSwTs7/qM0sIAVMpQ8oz09sdZatblCHxzWIMn9jiVxTRBgRiRt00ErLI6QhB33vWAGAghouuB27UbD+fKkMCiho2mFMcYsopKjm5ypDBgZUND0Xh9H1RqvCbk2hDUqfiDl2BhJUszXtevDWoHGUQ5K5MptoRQnDdZStjmib1keUCTWPmB3GheM4wkdWgf/OhDMnH65wyVN83jrG/eEbSELjCQ0YIwUzGwxe3jOPhjZOt5SG3XuTw00BUbAnPpLZxWgfOn9hEMRQV9xjpzRKJUvlJ1H90IgBWzZ2UqUa9798Be11P63MnlCHOeYwuBAC3jxv4iQNdeLcGFQaAnRX5fJkyFpggrYSEJZyHB8Bpxh/2G69ciRWDBRSu959nYhHsKcXPi3DSSnqQ6+9HvzcJg/vHtlwLFW627rPOOLgcEAjnbXsksVtx05v//RG7mZN59HSYry1a2dFlu7Ts0/uewURANXlldhybuIHLq/5Afc1s3DEJH3ZS6AEhFBXTRHdQ9aMptOUrLCJCUFMyHZ0CBE+9HIlZZyrRC53GhTUNittEmsP5RAgUp2Niuo4TL78SW89MCWAkC7gdnBuo8iuj7V1/QBcDgmYzXnJPB+W25bJrBHO6sq6hucIg1kho49jlmpglt6CLPi71IghNDBJCVEOE1peKQy2Wit3RswJPzO3z/+6NHC4PccpQzLu6yCZrbePPiCfQoQyN/kEMaKkGIQDzUGgFkfH7LSEEFoUtVMZ6rbsffc0G7IogbNY4vJmdGzC8aQ2ISUGS3qdORcUdmMkommYWnvB7Ch7HXdOiY+iCwG+c1JLJuiz5/EIzqFSpKWYCWqYznei6cP0aWCNFGH05GMX2gna1DLKKEHAePQPNk/GxpodzbJ2djC03FosylBYQlM/GgiU3QOUc5sES+lhUhCSXN9eEe7YqNSYLM8fimKRFObSVsWRjBmmlDUKEoNtIr3ykNvUTyyyfSz8BbyYKkoy+HKyhgl/VqrVCJxoCFis5Cs6xY87fT9Lsu7vi4vWC0LSNeACXXdMqvwoF8iK4gJwwAjj1+DVfu8LXgxRv3wx7wyDMviyco08CNWCqawq9s70AgImeSRjw3xmy7TqYJ/Yhf7SOWfhIYoXrqwxF51kHEVBdcd27j/fithPd2DNUwVc3yc974xx8IxE8XkYIlm3R7cBM5NCdrc+CtBWpBJNxsQ8AMCc4mS6NnO5CgBAshqi43pT30SllKGlOT0MI0myxX7+YQBPA80+/GVvWcVOy4FozpR5xWP4tYwiDqxOfpLWZrXYBgSKM4oylUoZYh7zHOt8Gl/dImbfQxMnXCSZvqaLFEnGoxeswku3Bv9p8LW4Z2YSPbb2+tZxxEqMMJXbSvUgmUYY0zywjosPPfH2RYOJ1CJ9FTxImsBbNgmjoUmKgapkUhuCU1A0Tv3vZDZgzo2c+ScNCs2a6sy0iBB1qCJLWsrgB7snc6KJy7QxUgxhE0MQkOlwyQpCYqVixEfS+nw7OTX92uk7txKDIbOqH2ddZVS51TFIDAqsvuRAEP/wqfvHJr+HyaVkcvmN6HD9zIJ4QUU0fEMjL1IaL0ncTca1ViBB8dr+vmQppizUz2k/z0CTOfvIFMMFpDp2/dgjBQweex6GZs7Hl0m8QXpti0wA4UCDp46/aUZoKAYHaT4Azjrknj2Hqa3vROBQPxgDAm4nmhe53+GW4xb4enVKGVIQg12kyW9fkQ7Aq340quwyiy+oRwNVKNIKsPyHIrO+F0Z2FETynY/1nMd09jbO945grzLVKKRNCQO/+UXhdESpS4wYsom8E528koypEQRMsTnHdaBd6GvK9OheEQHzO22kISP7c8/zLAcGywXBdpJNnBTgsDAgsocSgEBAspoag3jg3hCDJMZ1PQKDkvTrerhNTRcVA2FlRWa9TaDC41lwB/MLfIAYERCNy0020MNMHlViNbc9pgxAI2bWkevDhrtCNWwfiDbpswWlqBtlOGSFYGsOZmBn3PIa7Vm3Dx7fdiMFsxGH3QGL886US0IQmIi66INsT7iMFizmH4nW4vM+nr0kIAfdSqSLi5aHf/N/4+P6XWp8d6mfLRd1JGmUtzSRkaZ5VhlQzGQVnPHU0JYF+QOoUrHG4fCdA1BAY8vUTjL73F6KmdudRiqIiBOol73rXNukzq0RZU/b0V2FrnKFf3LsH/c324tuoB0lyYJY2ZtJ8HAEJA4InzxwEAGQClKmaVCM2sAghEAOC+IV/dewo/utL35SWVd0mvnL4ZTxycp9fnKFgtgpzFF0DW6ayyLbJDqgIAc0lawiaR6Yw99gR1F8bxeTnX4OracwmBjtGjx9ki0H0uWoIih320ckzt1VqmiS4pRV+HTxEYygDAVcep3zWxMqhAlQLHX9mMJwePIPx/nGAoBUohCb2AaqBwiRTsKAXW2eZTK1WA4LQBmpycDffZCnn3PcZOMeAw0B4OpK3EA3d0phBl+2CmziRWsyLRMVJ6xPXFx9n/EzSnMQXjgaTwiJqCNSAAOgMJUhyTDutMuRbiqBygaZDCLrYXGzZ986UO9xhGBDIA08rIKAiQqAPCGKQfbt65zNKAxzXgZGCaDhCQCBm9SsU2JuT74vHu5DXXHRLeKaaOoSgU0TlPJt4HdwEB5NxghnFuTIzKfXoL4LJomIdZUjsQxB3GMTrcNvwFnxo09XozgnlHWtzKLzxZPLxhUMa++U+Bbr7r6MMdWQd9yFojxCYnIKz9OopLEBjSTuEQDoIA1IEw8hFjtL5lKaryZYYQrB2GAaJstDepCAE19AVgc6dEK2GYD5lRzXX2KG+o/Xxg6/B+6vfwK4Z/9xFXZxmRyBBNSVxTNJpXEwe389Xj76Ch4+9ir878CxemTgJbhC8NBiVr9wwm0GGpydkYgFBCmXIm5XHfHdM7j/BGYc3GzmzRpcmIOiw7Kjag6Crg+0A4Jo5Bx8ea+DaWQdpfF2XR5oxVYpmZyl++F0lrfbOSNin+vzago9QCV5ik8TLHQMAJfJ4nVSi9MffHEbWjY4zX4Tg0dP7wTmws+rh3ZNNcOe+eW0/H1sOCN6mZguTp8mZFCDojMANyt75JlKGKIkG+sXUEOgCgk6ExUkIQad9CIB4fe3FNB1CoLPvnd7b2Q6TEIJgcBYRAqpp7mQwhpw6SKUMWtx1ALWrseekZmjrLBosxSzSsYyB57osvChwSBmK2oDAZh5c3o9x7yPYOPZO3HKyC4ZUzmWJBARURgh05nGCqkHwVJeJGXMS3fRbsPMV7boXy8TAWvfMSo3JNJQfMZtsEhPvXL0d9ooNrWX8xH5k3kxuhhduTbgX482GAYHYq4CeIyWQdEgZSvrqhWL07O7tmgVj7YoVheOoEBDoyjpK15wDhIAnvGPEykirilbL1HBiJKWk5DxMdbZUGhIhBNSM3nVvTEgcdFCCM83CDLx0VeahIdBluT0C7JyZwI3jp4GZs/ip1/3nsWIxqZy2ciatv0KE4Ke336JFCMLvxefqOyeiRM/Xj70GBo4z+eia5VyKTBuEQG0iR9JExUqWXkUQvJlG61mjeSsSOQsB/dEpvVMsGuccRKmu0ylCsLZBYQDYVvNAhet7Smn856G39bd6dzZsy2MwgfqWNDcZSuIrK4i1K8G5G4gXWfGXR+P1WTubKkDePRYF7PNFCHw6G8HuyvypRvO15YDgbWoZQtEVDNAWY23TSgQuMBiVnRMRAkKi7PaKih8oNBMahszHao34PjrJ1ie1Mz9nDcGiIwSaiUmj4WCks+xKWJIsjhDENQRmAkIQDwj02Q7uNMAf+0L8CzedMlQX9i8Gn6E/VxEmH48XkeMcH918nbQPmzHU+WYw5GFwE+862oecG123pSIqFnnWSZ00w9YTB3MmJjOHkSHHYxz8i22i8+dqnCkmPLM6oZtKnQIArNraWsaPvp56/BAhoBr3etq2keEUVqt6EYdxrlWmOqYMCTxeYZu9OQPPFE083m3hrOWPWWr1IWk3pq8Xao8QqAEB7WgsElfp7bcxspvi52+6qf2GHZiKAur8LCMTnYH32NfBvvd34MxLRAg6PnYnZUfTqkTp3kUCrKrG0VlOgPFsewfMZh567ByuHVynpb+FqAFLmGAZZ2CcS5qFrEtb4uIky+6Ue61QwZFV+xCozxZXAoI5obuxIXR4P92MrstTpw6mng8QaggUxGiBc+f3eixUzej8PEQcfxUhyHbYUTttec6O5tBKcACL6DtO2+QYRjM5/OK1d+O3r7wFFSN5vs4JXdeb7Pw79udqywHB29A4Z/jlV57Af9nzGO46fTQQa7ahDMEFveUDAPwsTF1wXjw60+Ji9jZNvO9gn8QZPxfzGIuVHQXSywKGJjYjE20+lKHz6VrWNJUnnAQR2V+Xn8BvP/dV7BWamfDRo2DPfj1qMBYiBFyPENjBvVpXmcGHD8WdsAErGw8IEqpj8KceAn/hW/EvXAfVlOoWNRZlTwZYlG0K75QYEDAUkXebuENwHgF/8lUb5vU1hN+8RAICQ+cIKyYuNsWSvkvIxCpXuiBbpAzpLr2I1E0FtAUysj5a4exxaf0u8j3pcxhkUE0FohmjgJvGIuegbjIY9FwDAuHvDjUE2zb2RZsQgv15E0eyRqt7c5o/16QhpaYTDYFvBNynDOkudL478UQLlo2f3n4LtvYsTrO+dlWGAIAKFEDWNMFf/A74608sQkCgu0by5/lShgAk0mXP5tpX67EYg0UpCCFa59cKziepYZrHORjnqAvOZNaLAl3tMdd2w+zxy5Iem5vEFw/twYQrCFyVZ0kNhJiAvDcOTqD+RuTwmkJAMCegumYHHcR8DYGCICW8Ti93t1Mt+m9HkVUwRPTolqqnyWaS33+aQIGNIQRWNJ+4wcBgkklMW2cQFjTzALjmazDJFP55zeZW5S83EVECZm2B7noOomI10BLNWtsNCGO1Sieb13HOectlu3Rt4jRWz02DArhh/HRQKaGN0JMwkDUlAEDNbUq1623uYqo7evOvHe1CYy4++POT+8FefQxcQ1tRrdHUBxSdJBxGNdUkgHkiBKL2cZFZuXPN+O9vEI1QiABPjx7GmdoM/uDlb/vn4jTB/um/gT/6ebAv/RE4ZykaAv9HGITCBMHP7NdX8hi2c8ipDXSUgMBhni+Ce/br+h/lOZjQiNVCm3aiCavLizJP4ZVtStfbQqbhr99lRfW4bcZitKjNc9EERpaihiDBCRFjVjNUxrWr7HSBzRKcP0dHtxAQAl3LDNF5fOyFE37AKNzPRq2BCaO39TlLDyNnRMFmKBgnJD4W7BrbjLsORnqEhsFik3unRtpUU4q+jL5THePQWPB8JrkGr+UNNKn/rrdFCJjygVAw3Thd7JM+ik7yYr8R7TQEAGB0RWOZB78nB9/zPcBtP+6nma488nz6ECQJY5Oc1iSEIEP2tf62mQcrCAItzTwRViFKapjmBQhBXUEI0hxwIxBHM87wp68/gn85/jq+cyail8Z+pxKMhAjB3JNHMfkFOUFEhdKznnBhOgoIwEEVylDSG3nConilkI6IMgI07Srwjvdpv1dHhVwmeX+qeLh1fimiYhYk2BrEwsN96/HPg1n83XAW/ziUQcP0e2yMZqOeM25COW0AErXV8Tw4oxVtR2nXYzh4bAqzFfldybv687c39KD/I5ej/8OXgXZnYK/vle7hfG1pYdTLdmFMeAkyzEODGYnK/tBcGj3s0816qw48ANw+dgIH+k8DiLr9kmNz4Lt5a8Lg02fBPvd7AGfA9FmQW96fejwnIcvfTkPw2AvHMT2r56pm5hU5n0fnUvMTGjS97nTLZs4CgbOM0SPAwZcTNQRi+bZ+zjCQkKHLUoKiMllzhTL0yKl9+O4bj+PWpPNyHVy1YxhP7Dmp/VqcuKlEGQqyK8IzyWDCeu1xeCcP4Ja+QXxjYARAgBAoKEhWjCSWSJUhCSFIcDBdKSDw7x9ZYgGBaaYHNmLZUV0sppao3PPmKG5a7//GBrHxyeKH0KBZ3DX3CK5o+I6J/Jz4piuzt3GmR/pcNzjy53r/z6HKUH9vDoWJCio1+T0JaVRJ/pNHSAsNlLr6Kk7cD07tw1NH9+PjCIMe7j/fOsemZzD5nBdZDBXXEMTXoT1RlReHr4LHczBGj8RXnKd10oegltIITEsZSjExqytakUQCd4uxVsM3XR8CsxUQeADi77fHOTiUgMCjqKbMPzTv7+d0dQaTQS+hCa8GBBV41GcphhDUXTin5zD32NHYvu01AiVnvgEB5zA8ReyckEybIxaYBvmT9gfgZJeBzM6taDxfhTsml/lUT8lK0QjWExBvNSAQRcXhu1wjsi6BC+/whB0lOJqUIwe5MlhoRjAXdzUNfOzNIYw/+SKMgRwGP34ViEkxV23i6ZdP4aWyj9ZkMwZ++oNXwA70HIWEONde3QNCCOzV3Rj62Wv9ztUPLVcZWrb5mOB4mIzBZl5bUbFrRM7k0bkJKSAAgE3j34RRjF7+kUmj1fgMAPgzD/vBAAD+9ENtTzEps5qGCI9P1fDMK8l1g7MpGYRUW2QNAdW8dlqEQGeKU89P7m+LEADAUEqDnBwIbh1THHll/X86+ALWVvTiqnD93TtSaAliAxcuOv++OQpCAACYPI0HDr7q17hHSBlKvodLRUMgZlGTnmNXmKQtHlzrNqVeL7S11xAIlKE2CAEQ/OaAFvVyZhca1J9Mv1e8o7WOJzwnoT+iBgRNjeCyYZ47QiB5tTxFWCwsppTgX92/HffdugF3zf2gtdxrgxC4RHzXBYdIeB4c5uGz+5/F6ZASGB6cUC1aSW/9YMLRzgNC0KYPAQAYAxFyw1DABPswPN4VW2/ex9YO/vL1ePjoq/jcgef1O5gnZUjk9Ydm5h2piIaPEATUEs1zs6HiV1lqhxDUhBTyYN3CtqeipJZD5TE/DAgOzUbUS7HjchwhkI9df2MMM98+EDuX4i3rpO7E4j7NNqWiAf+9MdWAQDh0+OweylA4lKTS6oAQIWjAogZ67i3FHmZZYcNR48kI1GRTzxpQxwwxqAjfZU8z3jSJDQZI1GnHoImlR8Pbe+VYASuq/vvvjdfQOOCL7h99/kQrGACAesPD4ZNRha6cKpgITEQDFlJutLW/Be9h2S49E0WmjMHirG3Z0YYaECgl/gjhyJM9rc9Zl+BEZSpawXXAOaROg2mWGBCkIARJVKHQ5oMQnM8qQ7o6/A0iIwSjA6OxdfwVld/YrANeEkIQ/TnoJAcEqw++jJLaPVQD7+fTuI+eg6xtYsNqlc8cOxUJIQgvhYyIWuDCNQrpTJaGMiTZEqEMidWs1G7boYlosRk6hpechkAQFWteGBUhMA0CBNXJkjQzIiWmdXRFXF/Nxp+x+kIpQ+KpJsUDIqefEPQUM9ixeRC24IiE4xsnROu8e4ium0iFEp24sCCDyBsmAUKgAhj0h/4NSN+Icp76818Ma1dlCACMwX5lCcUcu2HBx9b2IdD81u+eLGt52kmlM0nCBatpRKJd62SBKQWQC26KLmC55exJ9DXqiRqCUFTc0AQfoeWZ3Ngs7DlwZC6q4OSS5IBA97udU1FyJ7tjCMO/fCOKN6+TnEpBB4sUvWzLGGSEYLxnAjYiv8Hd1sQXBzJ4sts//3YqQwbAy7q+PmNFEYM/dY30fV54GRhlKPWOIMkm1HkzsDSEgHCK/7nlcm3BjyaxUDcsqXO4Q5MDgtU1H90oOvL7Uwv0GzNzcVYDE+6bnfBOd9JdfD62HBC8DY0JAYHFmbYrrGp1M3pgj85NxhACQC5db3KCqWYE8XGXYZI9iLPsR9Dga9seL6k6SxplSOXdqbZUOhUTyVFnuGHGQZcbBQQNq4HJnqn4eXAeF+Y1awJsIjtZXPBy+lJK/tlVTeY/cMJrroO/C7p45lNQBvblP4b39/8Zw916h523QQhACJpSw6FoP8XAQSoV+i4JhGCgJ4KYz07WtOuI/QkuBQ3BbKWJF98YxZgQdLvCvdC9WmrVKdOgraAnk5DNE7OGUZUh2XVwzCJUqxvpnbLbGREcAR231/9C3CD6U6yCxCFSDuLmkghZSdYQBGJqaeDxAwIOjr1dvQCAk4VuYP2u1BNd7MRGTEOgue9kYACtzvaBedAnCuZ17A40BKGJc09r3SQNQcLx6oqTnr9uNSw7Xho4H8yfOoQAAO4cPZaobWCcg4HDpYCTUFXOILPqAgDArNB13hEfFvV3tqFKFW9ZJ/UxaO1GGI87pQyZnlC2M19BN59qfaamgbpBWg9lJwgBESpWqd20xbfUtil6M3kk2WwCXTYNIaCM4o3uAYkaGZpDLDRtW1lmtBrWqbau4uvmMp5SRjXQ3en8mlaVRe53Pdaef09Wu/xcbTkgeBuaWB3EZKwjUXHD5Hh27Ai+dfwNHK9MSqLilokBASOYFmC6ytgAPPQDsDDLbm97jskIQfI27QKC+UBq0pqLHBGIv+G26SY21z3cNGO1RHOeoXdIHOaBN+SJjjfrrZ4BaRqCvvlW+Ai4uD84tQ+PnPJFdKkIAQCcOoBr6y+hW5e1ILwlEJbKjgqriMkTkf706wPr8J9XlNBNaDpCsEQCgqH+aGIam6xqUS2RMmSGlKElFhCICEHTYfjeM0fxuW+U4QQOc1PI8tuaChuu4oh4LKIM2VwOULnyP5BcZcjVBAQNk587ZQgAyQoBQQKqI50dUbL3gYmlWLUIASEC1UoICIQgxOMMWZdgx4To4HhB2VGO/7nlCvz1pl346503aMe084kQxDoVa45PckVQyBlZrrgaZzPzd2S0VYYS1p1UMsKc87aOsWo1pTmZ2ZvVVl8rBAFBrLljYC6h8JgHtue78B76M6wUypyGlCH/eEmUJvk8aEB97Z04g+vPnoLBWCplqJ12IqQgxc57npQhVUPgGa7cXFCp8sfb0ZQJ0JeVg4Ce9/idsB0C7MtHc0FXNl2D99Et12mXx0TFwphHOUWTUjgahODJ/A04nNksLWtSmtKLICgBrgQEYcUnXQI0rNrXP9WHrAINkpyJ/NUrYQ4kB0HnYssBwdvQRB2mzX0Nga6Cg2gNauCv3nwcnz/0Iuqe2xYhMBjBtOCENiuR0EwtHakzHWcZSKcMzbQJCOZl56nKEOc8cog5R074mflgUOCaJk8A8OdvPIpadVpe2KwnagjEH9HdnGdToGDi+9Lhl6LzUydDjZjROvQCfvIDl+O2a1ZLyz3KkDEMFJxmS2AFSDGLlOXiyKLJV4BzA7nv/wN6H/oz4OjrSKuDsFQQgmLeQi7IuDUdhpm5+HMpBQQtytAS0xBo0v5Nx8NYgHo4gu7F0pRqcZRMu+MyEEIBw4xRFCuBqF6s3x/u0lBKGDOjANXqBoO5gICACvoipmmICCARIRB/iyc8nzofyiO+GPu5/mEZIXCiYzqTNfzyS6tw35GoehABCxACoGZaeG5gBap2+0IE7bRh8zUVZdUFJIQQ0Iy6XOlGfg73St+YTD9WqgFBklh8Y9dAMmVIcdCJZYC78XE0G4y/OgQDAGYtG9be58C/+1lg3/P4uFD6edZp4HjFp2uqiERkHgrkaf8YfTlktvSDnz2B9z/zL/jEodfx3hMH22gI0hkASWUqnXkgBF6liaEjbqsxKQC4hieVIW01PAtPq82j6VGG/oz8rud2DuM7dwFfHrBRF8b7dnTg64c3aJfHKEPCORLmi/hrht5fecy4AUT4EWmUIfAwIJCPx1sBQfwehQHB0OQQMsLXhXeswMgv3Yjud2yObbNQWw4I3obW5FyaeLOeGzklGusi34/V/NUHBNE6Jid4/ORenD66D17DAXPmx3U7F4RAdLzuvG4t+hcApy32RBqaCA2qL18++MksISB4ffIUDowplSGajVZAwLhyjQWPpCAEZ98eWYd/WLct/UQDhKBL6IAq9iog9/40yMYr4tv1DoNSgu0bB1qD9ET3JBp2AzY1ccfocSlbKN7lpnBBpti9mGb3YZq9S/5JgsNVuEmhniWUgrzQRghBPhsFZ7p+GmIZT2uJUoZUvri6XEYI4s+s2g+kFSCYlpRJB4Bxy6eUiFeKtv5XGi0Z8axYfSGiYgBECAi4piGi/4UeIRCTKbwNQhBShj6/dhtkhCAKtt1nTqHoKBotASGITkE/RklHXeRhzFYcryTQ1Vi5Ujmn6N5MZwtSVbFOLcnh1pnKGU/SD1jUSLxEDUM+HjGpFiHoI+H56Y9RpwbyL0fC8/XVWfQ1ovH44aOvAvC7I+uMgCFjvIHX39eDwZ+4CsSgYF/7y1YjtHefPiInU9RGZCkIAbGN2HPEJ8+Afedvsf5M1IwsLSDgnGPyn17Dzucd3DPhAUHlJEaZpBczLDnh0U5D4BKOfg0NyOs2UTPl35Sx05MpFjVwz+odseUxypCCEABANWFc9mDCdAVRMTVAiJ4yFFZxzLry8XjDA+dcopCGVhU6TmdEimmXvhvzYtjSmEGX7YJag7lwxKZCAHQzx7h9BIP0U8jSQ7HssCoqBhAVDoc/gPzmq/uAzx3H2T99Esybb0Awfw3BXDUKCLZv7E/tnDsfW0wIngkvtjLfRCKphIAAAE5PK2Jjp97KADHIg6cIyRYEhODZgRF47Uo0BqLibqGsmkgZItm81oF9ZXYc+6ZH0VWw8dMfvAJ917oYGxzDjxx5E7/89DfwrlNHID5rsihLdKz8QMTBCjBuCcujAdhWBMxLBSEAZK617pkVn28jDAjMxRWILdQMSrQOX/h7mgJCYKsPMwDHjSMEAADTjmWIJyyfBiSJikOEQHEdZgfjmbG6wRKbD3ViVKAMsQTKUEI8oC2LCuiRPo8QvNozhBk7g4Ygup569QyeGT0Mxjn4uI7exwBqSB1vaZIrex4pQxkly5vYAbZbpXVF2/3gytsXhBCIljQ2T6lVZdz4ikZPNggI9DtRER7OuLbYwu4uHylNogxRcBBF07BjZiK2XsXUu8gEHmZMG5UcgCOvwvvkf4g19UunDCUjBETTzIt962/AX/oetp0st5bZCbvgjOPM/3gC7pivrej1OEzui3xBAENACAwFAW2PEHD0Z+NoYMYw/f0Llu2gYEhW0wk+ThkSCiUEJ1inyYma+1Zdho1dAwB8ylAiQpBAGQL8oECHEJycmfGDBcOVEAKza3FpQvGzXLa3leVNG27MIYy/nS5lIMGkVlQCgmYbhGBl1Uameg8AC1x5CSjiwqzYseeJEHiMSc3MshlzQY78+aoyxCQxqfxdSBnyaHLuRO0ozBrVlqhYDQjEGS0rTEhzpi0hRKE93yeUDQ3ud15wUqWgMJPXOrCsWcPvB03UMrYBbjJsnp3CbWMn0FOvwuYMnLdHCKR9ws+I+NsFKxHAWi2XMkwSDV4ME4NRXS8C8fkOEQIytOb8n9g8jBCiRQkY4+CcKwhBfPsbrpCzxFFAEEcIpgIakIiomwAsxmELY9Vr3f0gdlygWjUZbF2SokOTEYIkylB7DYFsumZuwNGgs7AniEitOY6nntiDVyZOgM/onIoQIdCegnya51FUrFIzkpIuKg2Fw/Qrhw2vx8zQGu340870GgL9tZ9TiiioTvFE3kPv+7f7AYG6i4SJg3sMTFOcoStsAJmAEBicgyjzZ5emOWcSQgB4qJgWHOaBPfp5YFIurX0iV5ACgpioWBh/5ixFj6DLrB/3AwEiCMPzCa+Ec3Imps0wEQXDGRrt37Blx7rdaO1SHqMMAYBtmLBdeV993e3ZAFlNFTcVIbAVUTEANDSBRGg7ulbiN3e/Gz+65Xq4JJ0ylK/lkHM142nD1c4R09U6XM7QtJrIiMyC4jJCsGyLaD12Dpal8k/jA7QjLBMRgXXFPvzszttiDiHpmLLR3lOfb9lRsbxjLmOCUoKrhLr4u7akNO+5gCZSRdSMVyEYWGeKyfX+C8rAwWq+QI1xs5VVj8y/f5yzVudfAJi1rFjlhBkrg09uEiqWuE1wzuGwaAKRRMXZgrZMZsZTBKCMYV1lRlkrISBIQEbCQEdEB4hF45PZ+VRTztNER4kp94xzLj0HJlyAGsDKxeeELtR0OgLGOFyPgwfPkMG9mGAQAEYGCti1eaD1uUWd0iAEo6YfPDCl5vdVc26rYygAPDuwAhknPlbduXkHLE2SolNbLA2BaBnEnUdXqHDqmjLad8fxbvzD68+AaChLBAxQSpmeL1pjmtlWZ5SheNdw4mvHsgVkTevcAgLGW9nYliW88q7inIvJgomMiy/cVIE1XIRFjRb1JjSxmVZDyNqcLDQwOjOOmAVjq51QdIFyDqI0TFOPCQAVKykRREDA4TAXGD8R+9bWiIrFeVKkDNWV+qEqQiBR0oSAIIkypEPTjIAy9G8vf4dUPtqw54cQuJRLlNXQMpqM/bU7VqTvDHJwEpqKskkIAY9TI1WrB2OFbRhoGgZoQpUhBzmsPbUWGS8+RvGGC6ZhRBBG4DIGwyOtsqMcHLTQYRPTc7DlgOBtahk7mV4S2ngmcvi/uHZr6+8r+tfg6sF1gKVkiDusA89hgrN0BmGyqFi/vhgQ5ANB52VbBnHNzhHs2jwQE7nOx5KCENb0UHnuBGqvjabCstJ5ChODOjTkGUeBT6GW05eqBIAu5VzMUD+AeCaFg4BzBtSrLZ5z1TDhUiPWFbdhWmCUohpmQzgHanNSh8cYQpCLV3tREQyPM2Ri9zoadiRRsYZ2AgCMhwGBIPgKBu7ud23x95i3kNk2EN/4IpmREhCI2SDKPd8BGVgFssT6EADxMpOATxkSdRE2b/oBjcbEQFxGCJSqM1gDjrjYdEvdk+qAe4TCqsXftStWr2/7W9JssTQEoRmUwCRxZ8kjpFV2t2nNood+rfXdUM3CSDXhGSAMhJCONARSMaRFDhpUhCDxHDTPDYcFmBZyRjwg7MRMzvDRLdfh3Wt3CvvUm6eMOeL47FKOTDD+WdSIJWbEz1+7qgJ7Yx+67tyIPzjxeGu8laxZB+cMWWF8bApjI9UgBKaGXpSEEDDkYHKu7a0A+M3RGBGa+nHIImrht8cCApVqU4/QezEgsJj+fvFm3AG2OFCwbb8vgBQQyP4Ca/NsupRpnfisYWKqa8o/PjiOrT7WVkMQbqeaSjNUy44CQENzDqGFfodNTTSokYgQzMEXr1uaB5Y3PLia54FwApd5yEmPnLMoDciSbGmVtVi2C2cdVDQ5nsvh99dcg4Zh4EQ+ome0MnHKi0K4PjpWjcPwKSkpvL+kPgRJznlVRAiCgIBSgjuua9/z4Fyt8vRxVJ46BgCo7z2L3vfvaPuy1oVqIqr/W/A4CjylGzAA29NfY32db+rrC6pRhn42cDqpMjg2g+VTViZCAipTqAd/E86Rd2WEgIxsiE3IWRZHCFTUIElUPKdyqFrrBJQhoYoSCQbu/JUrYG/oBc1ZoPNoPHe+LY0yJAa7rR4EuYV3cj0fNleNP2+MyQGBxR2QhIBAnGBbmgLTjjX7cZHFHC3EAgX/eNGz6hECsxJ3ysJmTedqVMiUJmkIkhGC+GRuGERqPNbaN4k2diiFTc7AwBQ89IKCYMuknvoQohCdIATnU1TcqYbAXt0dI4ZyWIBhImdaiaJiBjlL2eSrUGVXIEMOwuCnYBIDhrBt0nzgqA6WMJ94hCMTjH8WNWLOucF5K8872uWh/04fOWWPctjagKAGNOqtS12nBsbW7cDast+/xeQMVNlOhxCodJ7QMuQwGoyBJVSKs4Px1aEcRsC54y5rIfYiQqA2QBORMT43BfbPf9L6LNbUTwoI2LF4x+ObZhx8vzto0Cc217PSEYIGAYS2A7CZTw9SLWOYGOs/C9d0UbcbYEl8pth2OsqQfBIGJaCEgIXVADngULP1Uu2svwFsuRqvH/eTdvUgeWBTI1VDQEBjFOHQvLoT83csxrGhztGcqiIjXChCO/ut52rLCMHb1WIvR3yArhoEB7t6pWAA8B9+AEBG4bIdex2dmQGuEWeJlkQZShIV1+rR4JXLLjzTKjr2SVkosdtjY/9Eqw15mokZd5vJL3eeceRZMjoAJAvX6qykWUriAUGA6pjK/Q8DgmmxlOHcVAvR6HYaMIIrUbVsP5s9GEddshqEQEUNJMqQ8Ni91q0f7CJthIAQCI6J2ZNdUsEAkE4ZkioMhVk49V1awsY4hyNUEEpDCMTOn61tjDhlDQDGjEGp+3FoFhedOQJjLv6c6MSR8zGSFRGCJFGxPjuvowxRSkA0WiAPUWO+ZnANTBLRUK49lvAcBHoD8VFKnLwlhGBxLYYQJJyEvaEXuStlGgeDDWJYGMl1ae//ZzbswB9uvxqfF9DoafZuOFiJOX4LTGbCokZiECJabo7DORPV+xcpQy7lrcyzjjIkIgQeVx01zfjbrAGNKPypmqZUlU9NiCTtR0cZ6qbfhYmzMDjDG2fizjcAH4HlPLlbMRMRAqVyUuDA8skzYH/5a8CZw8J3ImUoASFoxIOUPpdjdYjiCQGBSvFUr8CcIYfW0xkPtiY7X7QyYAbDeN8EKoUKch1WZ8vpNASKlpIQEkMJmkQoZMEdjAxF6E+tRRky0aQGiAYVBPwCCXaC7+JV4tfwhlkHN894mPz7V7BJ1MdrkgyLacsBwdvVYpG3RkOgmZwBASHolikaagOVZKOABmoUbb6i4mojThlaNEs4JlP6HjT2dxAQCAhBRqmvbnOgy0tvIKZmmgA/C9NE3DnnoAD3AKEEXzVECEw1IPADhSmBs8lmJ9DwHBDO8f++/ERr+ZztOy3EMIH1l0n70QUEqiBdqjIk/F2xGaYy8YBIjxAsrQBANdFpUQOCelOA4gNUjaR02byYNqAp3asiBDZ3gARBr6hBSKMMAcBD3ffHkAMAuJwdav3tgQBz8bFjoTC62KmVaVARAInjANV8YVCqDQgYiYqIOcE4aqL9uBEWd5AFw0kIwfnT0sTKjiaEHIQQ9LxrC+yVYoUwnzK0q28Vcnb8uXpyaBX2d/XhkeE1eHjVRnxjhUwDMzwLJqVtkzUjFQsPPp7B+Kf3oPbGmL+eMJ/EEAIlIBB7tnDlO0snHK7XgLowxhqWFBDEEyJ6hKCqZO8tnECGHAEhPsUoKyC0vG9FC2Wh8LskJwmLJYRAoQzh0AvgrgO+/4X474KH8AobnIIzjv3To/idF76G//3mE5hz6gDVI1rDtbA3jhA4q6Ji5dFxCMHX+m1UqX/kVwcqyGjGlR5bDpp7O0ymjCgobF8mr9UdqaVHRT+IgiErUKnrDRffffoovvaVY5it7kYtQW9AwZFNYBV7s1EwyQgDB8e6hr9ysWngyiiuBUloWrpYthwQvF0tFi1rBvbmEPqmetE1V5RG3vAlIkpA0L5uQGS6zIJo8xYV1+KUoYVYJ/6FNyv/BlZrT5maEbIBORZHSXqddEhQhxD4DrP/KnuSMJcAjIMLE1w9uHeGklVxAuRgWuB5erOT4AC2z0xIWbNZYQCm7/wYyFXvbH3OMAYqTHYuY+hWK34kIAQcwKSt46xng+9FhGBpD11pGoLJmeh69HjT/h+a8npLwW69Zg2yGSWzF6MMNYF1O9VNAcgZ5bAKGDFtLRIAAMeseGDbL7wnRSc/746znRjtigJhb64J1vQw850DmPnWgaiLMNen3unND8b3RwmIZhjyEDnRDg0RgvYBQTgAz9fZX2y+sZpR9do1vRIpKdwCDAuUEGzJ6SiOwT4pxcOrN+Hrq7ZKyw3u+QiBmFDQzAdXni201pn+alA6U3hmfA2Bf179mQJM5f38rdeexrXjp4PNhACMc5i60qf1OQkhqJmmH7gGFtdQIXZMfzuF3y8k2Iqeiy1zU63PLJOTKv3ZzEssPcqF8r82kxNOxJkFjpfBTh+OnY//6AhBiOPh0/uexvHKFJ4ZO4xfe+qLqCTM416oJ5QoQ6qGQLamwTBjUjw0kMFfb6xhX19dSxlSAwL1c5J1K+vp9AmALJynjMIVXmSDe8jlo98xOlnFnjdHwRgHc3vwam4Ys8FvP2GLgUVURVA1NjsnfkKaH0WXA4JlOy+WUkpLtOGJYawaXYV8LcpgtqLqlZvklUn7ZiOh8Xo6ZUjXzAlIRgjErKvqwCzUdJMwd7yY+JA32//6M6NRJmnQm4p9391GnGxoJpcwgw4A07bS2ol7gOCQh9WiTCUgdK04QuDN+o6KCnnXhawN6RkCvetH4AgVp8T19QiBICpWvqlphHUMYUAQ1xAsVUvSEPzguWP46vcj6L8vDAiWKEKweW0vfuEjV6K0oa+1jHGgIbyfme5ekO03aLe3TNq6Fq7HfJQgASEAgLPGAB7tlp9N4kbP5PbxYXUTGH0Lp1sZXWIg3ED99VFUXziF6p5TmHvyWHwDUVS8YVfsa4MS0C45I8nC7YLHodlCCDSVa2KH898LcfxLos5cyGJbSVqv0Gg2uq4cdqRda8hIoLvpyti2aolGg3OYlOr0ygCA1fleAPE2LvX94zJlSEAIVua7tdn6ayfOAJApqjohMADgyGvgh15pfawaZqzxp2omj4/jaqdiVYPyI0eivgCeLQcEGc+T+7iIlKFq5HBeNSVXKaKogU+cAvY9FzsfQNYReE0PZ2qyxu3M7LR2O966ScI9tFSEQL6Rc9k6POqhajdxctB/J2xNBr/byqZ+7tQKalGU8DRNmTKkIgTDgxFlaGpGDoimjB483G/jK/02XimYwnZCnyHFPEGHkWdN2AnlawGAJgkRFsmW9qy6bOfPlAyxrsqQaCvOjrT+Dut9kx03AXYWHMATuevx+e73awD/BGumBwSzCQKqJA2BGECowrdzsXZ5NW8ufv48IYgRbfxs9LuGnXhmMOcx0JSsm645jxgQzNhCRifUEDhRViismJBRIHsnGFRFDQGbm/T3o1yMYiNO6/GEwTWrBARxUbGQPRe/IBw1FdIGwFt9CPQagqVoOg3BbKWJ5147I63XGwaFS1hDQAiReowwxlEV0LD8hq2JmWhCCHJCgF5vuLGyo93CxDll9OBY1sAbOeFes+jvASExYQ7lkdk6gL73xzuQztdo3m699LzmYvbRI63vKk8HTaCSEAJNkz+DEtABGUENeyyEGoIQIaCkgYaRjpi2zu0ilx0FgNKGfgBAIWdhZDA9kCVSQGBF847SSdi54b2xbeMBAfH7BijP2mDNRE/DaM1LKhWl8tQxiTK0dXa85ZytzHdrx9SRmp/xFxvB6QKH1m97/putv6umTBnKajUEmnFcOW9xvFPNszNoCM+dxZSAwOkMIaCkAv79f5CepP+68zo8cfP7cKjQLekIWDMe2DBXP+e1BM2Ci0nUgED9TRmOA+sP4vCaI2AGC/QiuneLpn5Osw9s2N36+4H1V2jXsYS5ZcguSmimwT3ksjYGE5IQFZoHIwRzJpV6qlAelRUH5F5MbK6CwSbD2roH23ORTYnoyXkOCJarDL1NjZimkp2VR6PYYycsMIMXhFAD9GP/Nw5/5k/wbP6a4NtowPELBuoHNV25MtGSy47qXwixKZlaK3vBpjkk0wQErAOEoFaN1ulitVjVYptzZJiHmjDIEeEUtAgBFwMCBSFgmTU94AAAmIFJREFUHtCMIwS7BuQmWBM9gwA4pgWEgM9NAiMrYwK4p1ZsgIINwRUCTJt5YJyDEr+OclrZUZUypCs9ypAB55D7EGjq4y8l01GGTp+NN+TrZUubMhSaqomoCJV4Crn0aSSbMVAJAoh6w0Vx3Xawg/tb3/f15DET9KoIexs4wvUzXYBzExwGbCE46PvgLhhdi1OTm1ACWsyABTRAYshSYe4/gMIGRPdny6hBQHr6AEQBYPgWqZQhACh4s3BjfUTEwwWUIX3lU8kSTnPR7J03rcemtT1YPVxs64yRXJR48AOC4P4pAQEbWAXslxYhqza05H4jKTEQWl0H3v3SKnjg+MZNTRwCYCuetTtZlyhDedbA1r3PA5uvRtHKSpVtQguLLzAe1PRv1KRx0CVESx8CfISgq01AkBZchMZT0mvH3SayIkLAPDSFZIqUnBIaQVKlCo6h1IKaM0wcLXTj5NBanOwfwd0z0XvuNOJzdh56zrxlGOBMqRnVrlOxRaXu3jpBsc7m84i/Y3UJGcNAl5XF9l597wJbmFtuGd6CV0++3PpswAMhBCuHCjg7GU+MzdFoHBfvsIoQGJhqlQpnfADvmvLvy2t5gtOZ5GeD6HiIi2hLe1ZdtvNnbaoMfac3WbkvdQQ1TOy39Q2VPMLB6aHg7wqACG70NIOLaPMVFUsIwWJUnGkjXPMq8cGgHWXIcTy4Trg3BksDG1s8XtpO7BYsTiQsgL1FhGDOloch7nkSQsBMG/et3YUNXf3SMSYG/MZQUwJCQKu+s6qez56+OG3DFShoNvPgBtt4zEvvQxDbk84McNhKY7JLByEIKUNHT6kN2oAR129ORRI4+EvFJMSDKwhBm5KfIoWv1nBBtl0Hti6i2ei6jIq9x0wng3H2IYyzf4W80KF0oZWFVDOK0XvGKvL4xGYbic64jrpjUAqSlx38VsYwQAhEagtBejGB8JXpCCE4z5yhjG1gx6YBdBfbB2OiWJvDBkLnWAkIMgqFlYLEEIIwOSo+izdM+f8bIHjPkxlkXQLbU5JbdVdqNkfA0DsVNYWzNaOQyTnAORhjYJ//fbA//xXcczpCjWYS6CaAjxCII16GxTPrO2Ym/L4unGP3xChuHjsR04fxlHzt/kYFTWEetpmHpogQCHORJOwlckBA1YAg+F0eZ2gYhoQQzNXjc15S9SGTA9xpIvIrGKjSuDQ2wys0UJ2gOLQt3UOtv68aXJe4XvwQBu5aVcK1Q+uT1xEqo62we7CyEM2VRnDW3QnNwao0QszEgEfVEJhEoFrxiI65q2qhqHleonXPb0CwjBC8XS2lCdKESTCa4lRLynzTSuzU6RKO7/aMgMPGrJHBO6bqGAie9SOjTegKZYYm8q45eGvyS0QInMVDCBjnOFObgTALx4wfeAlQmoG1Cwhmq8JgTJvQvX4mj3P2s4aFmueAKaI2x84hU5uVAoJqhgcnHIxGjEkIwQNbrwPdcCV4o+Z3mnabwIqN4AFlZca0W1vb9SooY7CFieqR4dVoaDoKxwICzmAD2DB5JgbJJ/UhAEmWTFb55dLkdClpCBhjmJpt4JV9Z2Pr5a65G2T9LhCltO9SsxhCIAQEhTZlfmOUIQDMygFBtrKvOz65igFBg6t4lG+LHRQavVmplLBo3pyTmJ7XBwQENC8HOmEjpnBtcdykpJ4aHYfMiY4ak4nbnccmRp2Y2PiKw/THG8BHLkMzTGQMEz+0cTceObkP963dhb8/8BzyGsoQD5DH0PLKkHv3sV5tzXwZ0fVa14VXprFmdjK2/obKDH73pcf9viqBBuAdZyItiZNQZhcAJq0MVrdBCADgvScO4sW+YfzsAV9/4I+zG4Q1ko8xbdmKqJihKaCrIUJQffEUuCfOM/LzoNbNnwv8gibz4FBD0hBUqnUUm1RKOpGEZLbBodCCNdowDUIgWpLoFwB+bOsN+PLhl7Cu2IdtPfEE1ULMFsTADcdDd6aA8OWkQRKvq6APCMVO62LjNQoOSyzBCv04AySLjwHALHZeuOVcbGnPqst2/iyl7GijzSQiCX0ME27CwFWhNiasfkxaFC4lkjjnzFQokuPa6jxiZRYRRkzQ5aDZjF6UhSIEz40dwayQVdceUpMt4U0vMWABgBlhUqK0ngAJW7GMum2YsIgBwrnkXDsBvYcLVAPHBqTB15M1BAi2IZkc6Pv/D5Dr7wd9z8+3aGCMUjhZP8tBAPQ4TQkqb1Ij3vQHgGvIk5PDPHCngZ947WnNbxQpQzISk3T1avwK1HiURb+UEALGOQ4dn4pVG7rnpvWgt38IZP3SRgcADUJQP3eEAJADft3k6rQZg0gmziVfqFkrk4MyXncULo7wp44yRAlITv5dqobgRQFpS2poFO3QPziTEIKEc03f0wU1MSBg3AaCvibknk9E69zzCbCGi3ev2Yn/fP2DuG3lFlBCkHVV98SnQIrIyJQyjd1wpiuGEACAJ4g/CbxWUMFfeyzx3PuchrZkKAA4KZ2Wx7J5qcqQTlQMAHeOHscDJyJB6YeP7pW+T0MIJu0sGsI8fO/Jw7B49BtZ00Pz+Axmvi33LlAdUfXZrYT9aJq1GEKQ/5cT+HcvrMH9h6KMNk0MCDi4E40RuqShuikx5THdSil8siLfjZ/feRvuX3dZ4jrnamoCg4ndloOzLubb9z5QEQKxDwElcfpoaEmVBqcMIL+6s+av52rLCMHb1Uw1Kyc4Zm3mWVMJCETenGiOUg5CHKcNxsAZx8Q/vALnxAzyV69E192bWpO86DwxwkADHuSFQAgOzIwpSzTHpJoBgftirlg7+MBmhb4FBuqo8bioicNC1pODjYxhwqQGPFcQHhqm4IQLegNDVBwAcF1wocoQESoykHXbQdZtBwBY40dby+vZIuygrnaP05AoQw6l8DhraQRay4XBO+MFrdinI1he/o3JdKyXhiq4+bS+JCGHcO6XmIbgzFREkSht6MPOLYPYsCq59OJSM1UkXRXK/Lbr+yFOsLW6i2rdwZGTEX3KtgxYJpUatrltxiCyyJXEAMBelRwQsGoyQkA0ZW8Mg0hdYAHBQQgG2INdvXizuw/bZya13Y5FC4/RSZWh89mYbL4mBu4+QuC/B2THjX6iwrAwe3IItYefQnb7IHreW/JF7EAMIfCLJHjS764ZgCrEUjUEgFoiOgoq+P4Xz+l3OSnaibFsDiLjVe3eLlpi5SL4FYCSbMrOSNXets5NYYSdQAM+vYU7DNU9p+LHwyReHTiLK8dtFOgzse/dINCZrFfQFTbaCp6nEA244UwXvrbRR1WIp78O1PMAISCIlX4CYtFIMSMjamkIwfk0NYHhWXkAfqWmMCBIQghEUzUEYr0MhuQiApbGx3m2aOJYxsG27LlVVOrUlvasumznz5QqM6KTZuTTc0wSQkANzNGidj1HGZfFSd5iDM3j03BO+I5B9YVTGPuzZzD7yCFwxhMRAp0Wy3G8FhUBWDhCoP56XQzCEzJE0w+XUfccNDRZoaogxOxPEk1rEIIMNWFRKteuNsyWE85F0RilLQEiAF/Y1RQQAlvPfRSDvHouCvB6mw0JIQhRHlc5R0etic08iZbm8QIafH1QOUMvKgbhOF1wcPqGLuR2r0D+qpXacwUuLYTAYxyjE1FAcOX2YWxc3XPR6RzzMdHndV12zghBveHi8Rfl0ocGJbFSwWoyIXY+56EztTlcANXQlwCA1dxEhCBRQ6AGBPFN8WrPoPJtcC5Q6GVhQNCBhkAari7yIyYH7karvC4xLdCr7wG23YLai37N//qbZ1vzAQXB9gm1ghEFPFf63WoNgimLo9CI38PmVORcE7DonuXPLSh3KcXzO26MLa9TAzOm3Woa5p9j8nzaVKhH++8ohieJIn0qcbtJO4uTOXneNYTIiDc9ufQoAICBEI43h46g3/gCMkRTTjfcf7OKBjVBExzXlnObhBDUq+COrNtoZzlbdrLTNATn03JqQCAEJuZNDwDoMCAQ3j2bRwQwD4CX0NEYACzN4zJpUhjE0ztAi2jLAcHb1axkQZiRIZjunk783hJeEEIIKlRfeq6hTOriIOk262gelLmbrOqg8swJ1F8flcqLSgGB4q5PTNfxF//4UuszpUTKzp43S1D7N/ZP4Nef+hJ+85kv4UxVFpE6Qom2XEJmiHELnzj4GlYJtaNtw4BJqVyZQggIxFmfmHGEQOxDkHTfLSHjVRUq3vQ4DYh3txms11SET6rArcFc8CBo4NzAJHsAM+xuzPHrgQQNQXjWc9sK6LlnC3K7krmhS15DoHDuJ6aioGyob2n2HEgzMcAZn663guTugg3TSL8XUnMyh+GVvbKzS6lcmhSIJxNUOx8IATEo+j9yufY7VnMS+ftJlCE1aFEpQxnDxL2lm/xlisPUS78mn1sLIZifqPhih5xiQMCJBXL9/XAna3DGfMpE4/CUtH7tVR9VvOtIN4bqmsIXniu9W2oVRtsjyOiy1gJd06cMBetUkue5NHMJxcFtVwE9Q9Lys5kcQIhEGUqzrUKzMQCoDwGDP3UNBu8twiRT2m0cSjFnWjhSkIMZke/PHS9WBpsGwvXehJLe/j6C8/BcNAwDJlS03Dc70GkQIRk1bUWBPuVojxAoZiior64p2YWwGGVIrA40tAoAYBoUpY39sW1FS3Ldm0RtICqbpaFoTJsEBmfATFyHtpi2tGfVZTt/FmsdL09w6rtIhIfUUrtVCtqAA1l/EPAAvJ5PnuQ3jWdReVbOFIZWfel0xxqC8uEJiWpgWwvnFnPeQT/QFDizwVxUXQd/u1+GZMXzTCo7x2Eh77n46QNRo5sMNWESQ96GmmiGCIFIGaKG5AVwjykBgR5yNIV7WBWaZPU4DXQJaEiY0aopzcYcReD2uy9+A598w+fnNvi6Ft2nzrcndioOzQiOZ47okSdg6SMEhhH9MMdlrQCXErI4VbAusIkBwdnJCO3o720PYYtl/BxN3XKDUmSVikFtNQTn6RqavVn0vDde7oDV0jQEelGxeo6RqDgICKiJ7j6/v4tNIsqeidFYUyoE72cnJUXlsesii4pFJ69/DdxpgrN/9TzGP/UiGocm0TwuO+QsoFXeeCL+7vNQQxD88F6HYYUivbA4tOVA5eDJAw3LiZ45fE6/y6HU74mwWu6mHFZpO9d+svnqDMz+HIxs8gw0ZftBx7GCTHET+f7V50/GSmOHlax6UgKCpjC3N6gBi5zRrhfqNIgwgHuCwphyAi4ep4PH0FTKkuZilRAvjGUFCuRc1cFB4RkVk43337YRP/a+nfjpD16O7ZrggBOCpuZ3O5Skjm+mZlJ0KAEFA9keR6UW05YDgrepkZSAAJTAVl5Ok/mft3QPyRoCAEzIll/b/Bwa1mv4Vp+NqiE/2O2yfqF5FoGYQJcQAmWwn5yWy/WZxsInwE5EeUmUIaCl/8OpqjzZyQFBNGU0DVHA7A+CK+pV3BlUtfA1BFTmm5qmADcLlCGDSJQh1KsdUoaifVSEJlm9zQaKolYgWO+rR1/BeD0SRjUUyhAAjFWmgiXqPUlCCPzzDgMCQgn6PqIXjV1KCEFTqD5lmhc7Z3tuJv6ecQHtGOhp31BN1PToOpD7CIE8+bcbK9hMm0ZeC7Ds9kHkr10tH6/mKtxBoWKILqilpNWcKdoi2D74zzbMFmXFIuNg9vOYyJ1CF300tr9wvGGdIATyQS+qie8p94Cph95sfZ751v7YfYzTXESjEkJw+3RcYGnyOGoQOyd4oE4T/Ikvtf8BCeYQ6tfJVxoKhp3eUwpHppodjtUpuoODATJQN0w8sa4EZphoUCohBADgnpVLu4bf9zr6d4cB+Maqja3PdcOAQSogGtpQxqPIugSmF6HJrhgQgACVSMCs09mopgYEXefYgXihJiIEaq8BMdFDCMFQfx7dxQzMBE3btMYfaRKgSQwkYQgGl/d1LKh6ZOYLgBKALrYt7Vl12c6fxagj8oOes+MZ8Afz1+FXLrtLWsY5l8prGcQBpUcxoXHY2vGCQzvcnJIcf1lDII/2OUXQqKtpPl9T8QEtBTRl0rGC7ImlBE6O4AwZQrbfoQLUKzR6+fDRvbjh7CnYgahYpgxZAk1HDAgoIDj3fHq8I4RAPNc5YZLrcZoQJSVhEPLU6GH8xRuPCsujY4YBQRTAqBfLX3fa8sDFTEnwpyEEW4mNp5a4qFjsXisK3tvRa5aq0YR3t6+n/fsmdv50nPgkaBgkhhC0ExV7lTZVeRZghBB037VRCkbnixBQjSMQ8t1blCFq4vAkx6d7/hUeyd+CHHkDoz0vwyTxfhURQiBWKknQECwlUbFIGXIZvOloLPLmmrH7mB4QhJQh/1NRU3KOQM/Blo3BOnMY/OmH262YaC6lfj+ejEz/Czu9t3t+k8x0/VCCpwQEJwWN15Nbd+PYj/8OPre+BELSK9CEAWl/sx777hsrN+C/b78Go9no9zSpARcUXBMQZF2Kf/1ypPEiqKNBozCIcgJWiWiv0LwPswW54pGpoL5dsaTlhTFVzyRaUv+BpHF9WjNPOZSgZmQAFQUM9yV0qD6UpXiuy/cJjOL5151dmrPTsi3clJft4ZVRZgAE6OqOw3UH3pxtVfsJTSwfaJBwQNYPTDr4TGdjrCpNaiyFMuQoE8ht18gdeM/ZJI6fZoYRagVniFzaLeRXqp0Wx2tRxkYsQeYIAylXOj8+cPxAQBmiMhRODUwGojKRgsMppMwkn5kARHpPQv8JEfV5ojLR+ru3WYctBS/Rvo/OTYAF3zWkgMBfFgU9enrHRFYdEAOEQOzSnEANoUudMiQ40GJWPCmTtNQtyfnMdkDdsYXkQBJCoL7HfqCYnGct3tJ5M6JzNSqIpXnNhVy+R06gqKbr4BsuCTP7tmHgS4+fwqTZhz25KzCDfuTdhN+sCQg6Gk4vNkIglJJUnX2jaMdoLdxlsaRP6zseiIoX6BSRcyb0RNZCCIq90vLpsLHXOV54M9RmJQQEdWrgmYGow65NTVimhQaVS4Tqzb/+A40oINhX7MV/vPwmfGXNZhzs6lXWNvA3vR/FqNUT29P62Qx6mtH8ViB74ApzJmUA5gSEwIyPExwcLw75QQMt2jDXy5qIrhSd4/m0rG1o6XiFnIWehARV0rg+pUGEmwSo0YxcdkgwQ5gvn+myUAuCqQuhjbw0Z6dlW7gpAQFTJrjh4SxmCqooluHwCZkG4wmOcSgKSgoIdLw5a0281F+NMklMz4lMLFHPKbT7btuIFYP6EqgLMW2VIbGmMGqYsqOJLUQIbKVKQqURrdMj8CObhtOa6DkyYDwadCzO/D4E1JApQ4aF04VwoFY4+cJx+cxk1AwI8JuRacwUsvKTwrMx0KjDFgIKtdxePaimVBcpQ0EjnjCAYQnt7c9m5QksvKKG2PQpKVuz1ClDwuDdaL51EYJOSvyK6zQ0zfsMSrBuZbzai642P+2yUbxlHfKXj7Q97kKN5qJnzxcVSycXrZdAGYotC7cPKUNKwmCW9qDbTUA+SFh2WViU6BgvHVGxiOTFRK45yy/nKhh3WEqDx4AytMBfFdNnnIO5lMKmBsgaWW8yGzixWspbBxWNjLA6naaZ2TdWrsd/335NC4UAfGTXpBRNanRQycf/fqgR0WD2dvdhLKsvctAz24M5owt1zbPcX5ef3Sx5Q0JFCOfwZqLAg+Y14x4But+5Gb0PbsfAj12JjNL9+WJRhgghWKnxI67akVzkwkoY12uaa9ckBJRTeAkBQWgeZC2K2un5fNilOTst28JNedmY+CgQguuGN+DUyGmUN+6FMRwN2tOzMnzoCU5qSJNIDgjiy0wz3qDDo1zy+yVRsfIOuUJAYC1S9jWlSlxkUhaLwRM6tIR1sNUJXzzXvDBQuJRhKhPCqwRNvio6FwA9dhYmpRLNCKaJ08WuYJ3od3vE/65lU0JVAmqAJNTPFm9N1bQwHgQFNmcojkf1rNUyeaG4WGxmp1KGOPRByERGyWhpKEMt2Emx81F2cjGNJiAEi/WMXmhLCgisDgIz8TdL3boF27ahL35MDVWheMNaFG9ed0FE5VTowMxqjvTOS0w3zbXRXa9QWxQiBMYZmX9OwLFhTkMX8g8CoMOyo0uo7qik9VE6sLK6q+Z3fIQgMSAgsT4EaZYhBxO+WQSEgFJfA9K3Qlo+FTi1ulw92XVr2/2aXgJC8MFfw0NrtuC4IiS2qQGLGkFAkK6rMUi8O24tpZKP4fnvmK5RaZ8QEGTIfhy0N+CkFQXphAFeRaDIajLrW3qGcOOqzchuG4RRzMSqCl2sgACAtoJQWvIjSRum6ZGHMZuiSWzMkDb3C5AGmmWEYNnOn8UQAoGmQQhGct342e234s5VW3HlishBVSd0CSGgBOTuH00OCHST5LHnYssMRqRJLU1ULFYtWbzsK0/5FJgQmRBweELWyfZCypDCixaulUgZ8ihwsCeiEzmIBlaLMWzoGoBFDLkPATVQoQYOFbohIwRchmcFYVcSOgAAa4vyAHhYKGlHEihDxSZF/cA4uMtQF5aHfRTCAEalQYU2ZydQhpRnUUcbIhqNy1Iy0SGcFISTbzmEQEMFiK0jNqdSXqZi3kI+a8E0KO68bq18zIzmWl2IksKBEZNGzx4HuNDrRKYMxbc1dBqC4PkmnMByTHgnbeV7D5bwruVIWGnMBRn0AwVJVNyJpvhiU4YI0fLHAcCbinPZueuBNfXUFx72ISB+Brqd2dDX2e+kJn478ylDfkU7cs+PA4aJE0NrW6VAdb+A3/xg2/1SNx4QkN13w1i/ExlN1R3b8OmkDcOASaaRIfu0+yVwUCB7YsvnEiikojU0r2F/Ixp/z5g9+Gr3fThjDraWUQawmuAbaIoPDOWKErVObUTWfZE0BADQrznftGSOmdAzQaclOZw1sLc4iHobhCB+jGWEYNnOl6mNyTQT3DVD6/AjW67Dip6oBNycAvFKNXopAd19NzI//h+1h9QhBJRVoGZsKEciQqDOAyJl6BsnX8OJVmWbc7fYVKOjDEnvMgOjQhY4RAiUjAcTAgJR+OYRjiPF6OIwHt0bm3lYmeuCSankLMCw4DCGv950GSpC12mPQqYMiQ3SUgb/FflurCn0tj4fLejh7RAhMBnBT742AuNrRzH1cBl1CSHwzzOkDCUFBDVDvu8RZUipzqKhDZ2vspOLZUkO9FtNQ9AJ4pG2zvvfsbV1rVQxH12zIb7BIlQRm49JtKGqPtGhuzbaZQJlKNOIOztcyeYXyIvoIo+gjz6EU+5MuGnLOkMILr7Nq6u4y8AbbShDhMQakmnXJnH02bf4/sm7f7LjUwRCypD/bNDLbwf9pT/F92+4tzV5qgHBmUwOc56Dids/lLrfwnRQ91/s8xKMuTnN+G1TA7YRVZzrpo8hmz0irdNNv4N++o+gJB6AzQo0nVKPTMMLny4dZUjUDxyyfXGxTBki8IR1jP44NVh9R9T5smheHA0BgFiRAyB9HEv6zlN+40SAJJS7BjHbJhZ7M6eIrDtohrZQuzRnp2VbuCkvn9hnQOWmFvPRgzinIgRCpjzMitGBVdCZTkNASB3d9PvyqXEiTXZyH4JkDcHr06fwx69+T3vs+ZgSj+hN4i5xiFNASBlSqwwJlUZhC0dwCTAnvOsixYbCbwNvUkOmDBkGHOZhPJtDnQrUBnBZVAzhPisIgTtV9/sUBHZTzzrceawHu0cLGMvoy0nWg2Bj91gBAw3/uI294xCnXlVUnBgQmGqt9eCnKROQSg8iFu2ojN3FtCR499JFCPTLrQ6oO4QQSVgc2q7NAxjuj/jLm9f2tno0bNvQJ4l6W/u6wPediMJisUJSO1GxFiEI1gdBphl3dlyl2SEhHrL0IEwyFWm8EpqjJZ5/2zXOv80nIEjTEIR9CCgh6AQf9Cln8Vy9TlRMdtwE+v5f6fg8XUIljRgxTOl+qEcdy+bxJ69+HzPbrknd79DBl8GPl2UNQRgQaBACi5rIGKZU9plwmYpiYhyU6Kl6YkCwtUflyPu/R20wqlorYCCyrNlzo3ebDvYC8BsZhrZ+lZx0ooTgPWsvg0UN3L92l1aYf6Esq0GgrRQ0NKncuYoQuK3X2MR4Nn3sfEPp49RTPP8BwdLG3ZftvJk6mVBZrSZ9VyyIAYGcJRMpQ7TNC6wiBAR12DgNQlxkyRuo8x3BuUTrcHCIjfvU7JfIy2eEYSql6UrHphxE26ZM9A3A0OtUAPi0m5AypNKbxC5cJuetqtEeBepmtEMXg/J2zbpfZUikKRkWnABWFq8Xo4DRm4NzytckeLwPCJvLCBmmyjPHMfvIYRh9OQz+xFUgBsXq1xq47IQvVH54oywe968DUAn2sW1SDhg2nx5ElV2OHHkVqwL0qYUQcP1AVjcZZOmWv77YJA2IowFLnS4EpCAEl2pAkOB82h06e5ZpoKmUHB0ekO9+xjbw4XeXcGJ0DqUN/XCeOArV1Nr+59t0QYl/IspHIg8boTOT3T6I+pu+judwkHUknKC7Es+YuinTsRvsT7yCyZLiJVR3FPNECABMfv61pD21qgwZHcAgBC4oGmDKdY0FBPluX1u16cqOz9EREILQRLGzo1z4CTuLsfpsLKEF+PdUvELsq38BsvvuaIGRjBBQQmAQCi58R5hcOz9NWzAbJIlW5XuwpVvuuhw+RtW2AUH0t0uiPhAeelvLzR4/OHjwHVvwvWeOYaAni63r47qhBzZcgfesvyyGEl9o0yIEKXqpJOQ3ZygJ1GAcpYyi2qZhhhpMJFU4Wky7NGenZVscCwfA7kHMCCW+PIVjWcxHg81ctSk5up5CGUozl0SNOhzioZ9+CYT4OQUT49F+BMfZRwdEUbE8mIsIAaftJ4lOTN1LuypDAEePE+XIwy6OTLpOnoTCiHoAl0DiE3JkMMeui3bvNPxqEpLHYbYCAkPYrwsOa0RoFgNBGyBMGrOPHPbPa7KGxsFJAEBfOZpIShPxigo8WwAPnPWCIw8d14wOo8KvRYNvaFXKMFg6QrB1ZKX0WVdlCJBpGwBANIP1UrNEhOBSpQwt8PfoBHkjA/HqJkP9eezePoxc1ozdd/9ELh5lSLRYQkX9HJxn192bYG/ohb2hFy8V/X0RENhOPEh2SfJzXQvfJam6WcK1WEKi4sU1Cu65aHpeR5QhwIEBnUhbmEMIAX3Pz2m3Hrez+OaK9fo9UyOmEZMQAiKfYMW0UPdc1L047eyh1ZvlBdUZWVQcHCerQQhCiiwVKMDEUzsUJ5cjDTUEv3r53bGAI/w1c21oeiKC4GoTBww0yG4P9eXx4XeX8I4b1yciXBc7GAD88Uo9vTS9lC7RU8xbeHDthLQsdPIpo2A8fR77+Y9eJX3uLi4HBMt2Ho3e+1Mg9/4U6Ed+Q0IFHJkgD9OgrQeeczkrr6MMJRoh+G6vjae7TOzpGpc4jUSYxUQHV0UI2A/+Cexr/wvc8Qc9R0EIAMBNaerSifmOvBCEaEUE0hagwqAbagg84TrO1BstGhQjTIoyHMpRM+VrXuNCh16noWlMZgoIgcDfty2Yw5Hmw+ViQJAAOWrqfnuEwlEGZprvxr+78p0wCUXW0w8dFX4tjKDyULuyo9yWn5cwYMop50my8vb0EggIkjLqi9FJ+2KYLiCwLdpxTfiMgvIM9GQxMqgvdxiaTjtyoQMCI6nRYQwhkBeEAaFRsNH/ocvQ/6HL0Gxz70PKUI0a+Oz67dJ31YBvKFUZSmpMJp1X6iEviHlzi9NELhQVryh0dxQQNDMZ5GgcbRBFxfRnfh9k7fbYOoBfgefLa7fgB0OrY99Vg2aR8n4jU93+sJrPkVnZQTzb3Y9JXfd4KSDwt9UFBFf0++dmWZnoVynzt/gMfG9Y7tPjUYrrhtajx87FEI/Q6m28RBH514loKakveYqnaoQQZBQker4agi3r+pDpl1GQ0EugzEB3I11EYCpjZvcFoAwtBwRvYyPZAujOm0G6+qU+XDpnRoTLmmJA4OkRgsu2+bQXj3poWBFkWTMIDuRMTeUCYZAWIwACiFMc5wT8zafAD74EzrlUZYgFpT8rSbW8OzSPM2l0Z2qtU0AuQQguZWFCypAYEFSb0RRhcweYmWx9dim0FQdaMUOzDpNSZAReKTftVuAjTo4PbLgCZm/kxDAI1J4gA8QacsaIaKBQThCfqHJd2Nw9hPvX7ULOTSpf6oK0AoKUsqMmjZWODAMmtSGNStu4FChDugZcwCWMEOjGhA4qDIV22daIBjfQk8UP3bOtLUeYZuP3+UI7FvndK0B1UH0MEZC/1iVH2jnnIWVo2s7g8WHZCQ3L+4oIwSXjYnkdpfO11qQKScptoqeQgcq2qCsXgwMYXbsDNo7BxBn1hKI9Ko3F5GPT4P/4c141zRiSKSEECqxcDcbevdOj0nLXsLT7h9eZqPj6YR/ByJi2oCNIfjL2K83HgKg8thl7H/398DYPrichI/HvKZ+LL7wETKUNzZcylMuYoHk5oRBeK4NTHM5Hz+Gs0QCgBnIE9922EYN9Odx5/VqtrmGx7dKcnZZt0e3GoY2tv1e2Gl5FJnKFHcHZkasMRevcdd1a3HrDSlx7cz8+9q5doDn5Ya/aanZQKLfXjBxITrgkKnZC4d3sOBjjLaeZg7fGwTlnYToCV8mweBrOkEwZYiBCTshuIQTROnWhA2nOa0J89VwCFDO6TGTwW50GTGKgy4kCHZYrRhQbIYAaLnbLzYA0omJvRr4+agfR0E7ki/KCvM97zlIzESEgaIAE55lGGaIZIz6hBr9DzbzFKENLvMIQkDx5XKp9CHSOeCc9CEK7YtsQfvzBXXjvHZvw0ffs6KhihtGrEbZfYITF6Mpg4Mc03PI2CIEuWGobEARj2xFNha8QDZSz/+0pQ5dM0JBgzw+LziQF3CYMSpFT3qOnuuUxxiXAVM8gCAF66b9I39FY/l5voaNe15SU9OwsupRKfWkagmqAEOydPoN/XLettfy5XTe1Ag/J6lEZ6lBDoE5D//m6B1toas6w0AzWo5A1BKK90T2AZ/pXoGqY+NTGnQCATLDdYFYZ7zuM48TZQ0cZMvoWv1nohTDVAU8vOxr/LpsxQWLVHP3/KaMYswleLpg4mqH4wnpHO0Ds2DSAjz+wC1fvOP+NGIHlgGDZAhMFRbqaumI1EScJIRAma8s0cP321bhr81asHezFr374euR2RI7o2UIv6I/936Af+FUAABG6EWfEgAAcrhE50xXqDy71Sk3qesqETNJCAwJHoRzphGByMM+lgCDjxSlDswJsbnFHaia2vncIv3LZXZpDBJnJZh0WpegSkA+WLYSHlgICUCJl/LnQBj3MNDGluRzXZPAIJ3izW+5NQIJOm3nXkI8pmQHCXFDOYHI/YNMFBCRjxjjQJGGfKkJwKVCG1ox0Ye2KuHD0rSQq7qQHgWgDvTls29DfUWUiALBWFmH0yRPqxaAe6JAKdfJWAxydADCTS7/37sBaHNh6Nb60dkv8yxb9TkQIkihDb42I4LOlMcxZoraKAkGyIWdFP+yETVFRAkWHADXLDygJ8dBFHoGBSRTIsy3dWjsLOwLPWPHg9Ud33RkvjyxVGVIRAjP4DcCjQ6vxqY07cfLen8JM3zAcDULAZ+SGkgCwWkjUbeoaxEA2crSzptVCCDLkEIwef8wskiel/bqU4FObd+HfXXU7nhn0NVyt8qmE4P+66r7o9wjbPd2VnJ0Wm2/pEAJjvV6HsdQthhCkjHe6YCGXNQHl2QmfCsooTM/EqwUTj/XYmMi5yaXcLqBd/DNYtiVhEhStpQeIlKHIYZY7FafPPlcPRY2HOAPI0FpgIBSWCvsRz4sArhkN4HO0gP32Rvzl4TX4n//0krBedP5PnDmQeh5JxjnHX7z+KF6fPCUN53PVJjxPyaIrVYYIImc968qUodlKE9995ETrexMuxF+5bWAl1hbjFRdCqg13GjApRdGNgg43mAwkHTXx753UmAxGlFkKBG3OmJB9gt8MSGevdw/IC/LdaByaxMZ/GtWuDwAMQYdjxoOyowaA+EBKM2aMMkISMlKXIkJACMEPv2sb/vW/2i0td9Xn6BKxWMUsnH+0gxACe7WSLb8IARUxaPyZU4a6XiUA0JUILHbLz3F/r7yNt3IrVrz7p1DPxLUVocZKEhUnDbdSPHDxI4KuOzbElrV7h5tZgsPddTCiDHBBUiQnCVnjtfI9QlA1omAySw+i3/gy8vTV1OOSez4BwG889uU1fmA2Y8WDu1X9K2PLiIQQyCZ2BPYoxTODK1HYfCUMQvUIQU1ARgJH/8bhjbhmcB2uGVyHX9x1u7R6TuhFQAjHwAMj6O/5JnL0TWk9L+x4LfaNEc6tL6Hc9IGsgT76Ze13rE1AkLt8TXzhJWBrRuSETpp/o0ty5DIGoHl2gCggaH22sCQEP8sBwbL5poy7qonZQEcoH+glUIZ0ZokNs8LNghdGEnpJ58LhKAHBw133gkHuZiwiBE+NHkbd7QwWFu3VyZN4cTze3fKJ507hr7/0Kpq1Gtj3/wHskc+BSygCl+o8h3SaMFj6wfPHpf2pCAEJskemIrJsIQRBlaGiQBlysv66UqY+cJb8LGp4PShar7nngnOO6p5T8nEqDpwzcZ7neDaH5664DTAsIJMHKV2HyS8klQQMzzkLzoEuEJicJVYYonkzlnXuFCEguoztEjRCSKzZViWhudVSN0dDK1N/2/mwWMnZiyROjAWlymmo2UNVkAgAhuIbfOhd26X9uC5Dt53F7173IP7DVffKK3PpP/8cEhGCpWX5a+OiXFpIFlQavVnsfV8fmgaXnM2QMgTIPSE8AjRUChcH6obZcqY7NXr5baA/+tv4rStubiEE0zGEgAAax1kcz5oxhEDXVMzvMqydNetCZ5fgNxSsDH52x6342R23omjJyFlW0SI8fuw1kFo8caPTA2SEgEDuhixq+QhMMgmdiTMhU3Y/+BNXw1qhUJEuEbt65wgG+/z7vHltb+q6uvLL2YyZWMiDgMByomtt2CkUwAtoywHBsvmW0ocASBYVSxqCNvxeiS7RCgiyygIFIVAoQ3NUP7h4VHZYxhtJXSqT7dicfsAD/Cz/nm89Cv7Ct8Cf/yYwI1aLSEII/N+kNnOzuIwQIOtfg577t0nr8TAgGD8JkxgSQvDkjN/RUgyeRGeJCF+0aEOeC1Z1wBQNwdyjRzD+6T3SsnBPJzbvBv3FPwH92d8H6V/ZgbdhgsNCkQAG44kBgdGXi0HuTcvROjlqAJDZ2B9bZynb9ZevaP29a8tgyppL13TIRl/3+S+DF8skX6SAIBaEKmNkrgMamznAWnSeqa4pFHIWHrgrogc5wTXutrNYV1Sf8ThC0FFjsovvY4BQAmuVnG1N602Q3TaIbNZ3pESEgIO0KEOOQBf1fGhU2keRcTQ5TczQpp7vyHrMCAUVYghBJguiKY0pnoIa9lcNTYBIKExqoKL5DsJcpPLQdZY1LDSEhNupwy+DiiVOB1bjzPt+QbutWF1IbabZzjxA+uGq2FtNcl1KZhoUH7l3O374Xdvw3js2pa5rGDSGIGQzZurzZ3nR3GhnyJLwxhctxVMqld4J4N8DuBKABeB5AL9XLpe/MY99bAPwnwDcCmAAwH4A/wvAn5bL5diMVCqVbgTwGwBuBtAHYBzAdwH8v+Vy+Q3N+gcApN1Zq1wud0YwfKtZm0YvloQQCINxQpUhnYkoA2dAeeoMKMIbIjTdEqsKEQ7P8EDAwUFQp/rBkRH58Zhp1rF6nlqmBku/9ZWTEXrAuZDhJ1wOCJQqQ+J1GXAYds32oMEjkRANBMXWSBG5y4ZRe9XP7DBuAwTgR16DecVtkqj4u5MnAcOI6Qda52Rb4PXwmpgAHMB15W6rKWYGqR5KCIgmu5VmDLkWQsB0FYYAmH05GGQWx1ccwcjYCtSyNVTyFfzqZXfH1+3PgRZssEoTmc19sFfFuflL2W64YiUytoFCzsLKoUtTYNenKb95IRrlqBWlyEUq20qV0rdq3HrVjhHsKY+BMY7rLlsBnd2+cSP+2/Hvw25a2BlUXRKTJK7LcPz0LF4qj2LH5gGIzGsSNvnrREOw1CACnSkOfO8D2zH11TJowULhxjXIzZwEAHgSZShCCLYJOoCQw94kHLYwHjZAwawMaEOmSLasw0ZkMQ2BpZ+D0uhZdW1AQGASitFcAY8PrsItZ0/qN+5qnwDJmpZEPSoJVeyw+SoYD/4S6jNngdN7Y9tmNJpBQE/h5PBABAqoigjkmAMdRfRStYxtYN3KuMhfZ7ZFUW9EvlHGNgBPfnZs3gQ0STLbMpZE9L4oAUGpVPoEgE8CaMB3yA0AdwH4eqlU+rlyufyXHezjSgA/ANAN4HEAzwb7+GMANwD4mLL+jwL4m+BYLwJ4AsBOAB8F8P5SqXRfuVz+gbB+D4CNAM4A+HbCaVyaBN/FsDbFq20BIXAS+hC00xCI2QfGOP77K98BAPwZUihDgI/QUhd1luyYMgUhmG4mV1pIsqZY6k2bCk/iVTFQbUDgry9m8t452YQBZUIRnByx5j4PBNSYGkWuOotcQFNihMCzs4DnJCIEsC2g3gjOOkQIHPBGZ/Fu2FxNzEjqeOQAMGW76G1GQwlHFnkOGDwZIaBFG5QQVPJVHFx3ECDA7oE12NEXd6aIQTHw8SvhnJiFvTGutVjqZpkGrrsszjm+lGzFYAFX7RjGi29ENIRi/gLUxY4hBBcnjRZvUCaPdT1dGXzk3hImZ+rYul7vwK3I9+DHrrkap6ozuGPlVgCyDuPY6VkcO10GAJQPT+IXQWEG42IoJhZbhiT7D0swIlBOSa1sli0NYnhtD0jGADFoi8YiOpwcFNypgdUbyE+Klef8/+cMjn6BxN7kFJ6djSde+1eCDK0Buf3Diaf7sS3X42/3PwPA5/xLlpAgEYsk1A0T05aNHqeJqUxOS9UxKG3RbD+7cQcYIbht7ERsPahaLo1lqCmUHQU2zk23/iYrNgJIKI4BJPYfUJ9xDmDW3ovu5o5oDWGXeRsYdifBcWmioAs1/14KAYFlAEROmji68uLgyFjWkigAsOCAoFQqrQLwFwCmAdxaLpdfDZZfB9/x/qNSqfRwuVzWPOmtfRAAn4YfDPxYuVz+22D5ULCPHy2VSl8ql8tfCJYPBsckAN5fLpf/WdjPbwL4zwA+UyqVtpTL5RA32x2s/1C5XP6Zhf7ut5q1YQzJomIRIRBmqHYVVESUIZ5NSRIV8+A4DnSRdWtrNSBw5h8Q1NroDkjiJx6nDHE9QqDLnRDhuomOB8sOAEHvtp5TB1vL5zJ5UGoAnqPVEAAyJB8GBHMzG1FTqEFJZrNAfCYs4/V4MPH4yhl8c90UfmTvILZP+vAwQw4FINAQ6LNp1nABxlRw7sF/awvJzr5RzMAonf+M9LIl213Xr5MCgotBGbpYGoJYkzTNaawcKmLlUDpf+qrBtbhK+Jw2ZtaueBe6Xv4GHELx2PBavBcyQpDUqbij0qQX2Ox1PXBOzQIAjL6sFqmk+fj4LmegfVGxd/SItM7RrP+MvFLwcPs0AQHBnoIJhwNuvgvWhKyZond/FGTdztTzvW3lFuzsW4kXzh7F5w+9iGf7R3DdhN/PgIzoq+aI15oTgj/dthu7J0ZxdM1W6HKNFESac2o66pBhtso9p5ltGBJlqCAmt3L+M6ltsAlZQwAAu/pW4rXJUzGEgINg2qqhW2DAirfn2vVZ2Cdm0HibBgSqEULATQtd5BHM8ttAUcWZQvx9ZJShx8r461+E8xRtMdItvwQgA+B/hMEAAJTL5WcB/B6ALICfbbOPewBcAeD7YTAQ7GMMQEh8+xVh/Q8CKAL42zAYCNbn5XL5vwDYA2AdfCpRaOE4/HzHv+ztZGJEoK053r7saDuEwBYmP9MzQYLR/uFVG2UoXDiVMCAgbcAbNSCYadYT1ky2aUfYRvNTCMS+B+Krw0CIhzA7YHICk5NWQNDuuojX2xyIOJcuizKNXSf2tf4eL/RouxRLGgIhIGDIos42olbTlDNMsBZCINwXrxJv+Hay0AQIsHIgymIxnkWOAyZj4FyY5E0Kc6iA4u0bYHRnU8v2LdvStNuuWQNKCXZuHkB/j74iyWJaTENwsShDikZgsZ7VNNrVd/nl+N/rrsd/23kt5gLaShJKJ9nF9io0VrhxrV9GtieD3ge2gyc07gut1DuCbiurpwwJvOwqBaaDsW7aBMqFcTzVZeLNvAGPcTi5KEBr7UnT8VdnA9kC8oEo9DMbd+Cf1m7F1PYbQG77Ye366jB/PN+Fr67ZjBlN8zOD+F2+T9eiTL6u3wGK/Vq9gmoWNfQNzoAWopH07KgIwYc3XYObRzZhKCsHIgwUtQTKLgCYpoECeR5hP97eG+dHNb3UTXd9CSF+hSv6j+inX4BJ434MIwwr891LAiFYjIAgLIfwZc134bL7NN91tI9yufwEgFEAt5ZKpfAJpfBpQt9N2F9IlFslLFsOCNKsbZUhGdr+p38p48k9JyXKUDtRsW0qZfemfIf34dWb8ELvcGu5LCoOl6VPIHENwfwRgulG+jYWMzHJfggT3gfAEE00YVwvowSkdW1aAUHCgCzyoq2RaL9uI9/aJH884n6ezRdbAYHYpViiHgn3a5rdj1l+Z+pvUy1srraxS3D05+IIyulCUPVDRDaQQx4MK2uVSBgNILdrGIOfuArFG/wydFSZ6HS17pdtadl1l63AL330Ktx768YLcrwlgxCoVYMW6TQytpFYweTwyTlMNC7HiVxXy9mQEicJ74ssPF6c81yoUdvAwMd2Y/BnroU1XGwbEFjUwH+85j24f/1lrWWcBwEBE1GSaEy6rPEGKmYVB3OmT6v0GJyc7zK8mL0cf9H3k3g0f1PHAQEQleR0qYHvrViH+h0fBunWZ8CTNARqo0UAMIOx74r+qCRnId8TWw9dnVEkLYUyJFnYfyZh/lEbRK7Id+PHt92IDQWZqsRAUCNyEkDc0jANGGQOA/Qf0U//EZl1l2Z1oXO1pOsLAAapgRAGWxMQcMqxKt8Le010/y+WGHtBlKGAorMTPh4WE/HCd8wZgF2lUomUy+WkK7Yr+D+pSHAZwHBwrKfL5fKfA/jzhHOiAK4JPor1Hq+Cn8ItlUqlP4CPSHAAjwH4nXK5/EzCsd8e1rbKUDTYnBz1S1QeOz0rNV9qJypWxUvdlS6M948DAKYE4ZbkJgYZIjpfhEDI9lfdJnKG1Tar12DR5KJ7UHuaffCgGbSDcyNogsMfMHMuRTWCEwCkSK2E60a7bNC8BVZ1wBkFo10wMAsqQMCj+WKEPnSAEJyLZTyKG4bW46qBqHcEq8UDgvFscF5SQJDFyqlxDDbrmObRhKfysNWJKIkCsWxLyy5kc7VYE7qLhBAQ9TwW0dNet7ILB45Nab+zXRuGZ7QSHtIwfQm+L60xWNMMUbWilYFZ7MUUTodb+1WGhIaPOVbDlsYobN7ENbU9+F7httZ3HuNoBgjBDwq3AgBeyO3GdR5Bp9J+W3GyiylVY5ISGrrKPeFceePwBrwxeQoVt4mbu1YA+16U1iNX3NHReVqUtjoVq0aCAIgnQEdegiMr0oEBgJM4QiD+YhqMC5Q0ADQSxddvVWPpLgoAwI4JJP1k5qpCD7ruXgHn9Cy4w9Dz3tJ5OMP2tlANQR98utBYuVyO8QnK5bJbKpXOwnfmuwDMJOwnVNydSvg+XN5J/+ZPANgM4CSAJwGgVCplAOyA75N9Br5g+XsALgPwXgDvLpVKHy2Xy59vt/NAQP2JDs4D8HULl4a1GZ91dXYBPygIrV0fgoxpBrWC/GHE8AQakgBbUlHIGgQEBmepWTk1IHCDt/PJMwfx6X1PY02hF//n7nfHstK6bZKsy03icoZBSx0sCBgKjoG5YOIKSzZaCbsXNQSEENAuGyyoV8+QgYFZaf3DuS6AAz+8fwCXjwtTmxgQWAtz2gxO8IlNN0hBlBoQ/G1pNGrFXhACAp7D1sNPg3EbTUQBQXarnHFS78UyZWjZVIsjBBdJVNyBhuBczWgTYNmOjbrpo5eShiDhHNqAvUvP0pIX0rUJEQJPWMLxnrlvRqsLiSPmcTSLcde/zox5BATyfS8k1JUH0hCC+O8L6ZK2YeLndvpBDN/7XCztRbZeg07MpmYyZSgUaGsc/y4rg/UJVYw8ZT5kmWKs7LeKEMgn9fYKCDqh82UMTUBAGYZzXTAIxeDPXAswLvkEF9IWGhCE71VCXS8AQMjDKCI5IGi3H3EfiVYqla4B8EfBx98USoheDv+3zgL4QLlc/o6wza8C+B8APlUqlR4rl8unkW4bAHQWtl9C1q6+dSclBmnbPgQGzmw6iRUH/UY1BjNAGAGnXBrMZLlusO92lCE1IAic8U/tfQoAcHRuEs+MHcGNw3qqAz9WxjsPv4HvDYxgPKFbY5M2YXvx6xBShgxShRuccHfTwEnuP35hQGAnDRjKzE4ENIYrr+iMaeFwNouRGSIHA/7K0T5S2qzrjFgU+atWofJMBKqxqgsqUCXEgOAHq2ewry9CYYjQPIwjC8o5PIEu5OQorBVyQGUuU4aWrY0tmT4E5xEhaIe42I6NWq4Gzrni7LePCJZqkN1z31ZMf93XRfW+Z1vieiLqyUF9hEByVOUx1eDRPMEYRyPXFct1scSqOnFzuTzv6Og/rXOdD0KgS0ypDjQ1QHRC44RjJFKGzHhAsK7YjxuHN2B774rE3gNMQQi869+H8VdthBoB1QwVoXibBQRplKHQusy4H0MN0noeCCEXDQUFFh4QhL+uExlT2qjX6X4S9xFUNfoG/KDhL8rl8mfC78rl8nOlUmklgEy5XJZKFJTL5T8slUp3AHg//Mz/f21zDocBPNJmndB2A1qOyZIzd0xo5KV5Hvt72r/cdgdO6FB3Hk2rCdvxMy22Y6ORaaApDJAiqnauCIGa3QCSNQK8WQf78h/hbqeBzZOj+L1d10P3KBo86XUJ6DuIrmF304TH6xibqOJoUF3DSni61drqaQHB3u4+VD0XK5vx+yHdw3kOKsQ20HXHBjSOTMENuhazqgP0RsfhtWgiaNjKRJwRAwIz+F8QNlsaGpoyES1N12XZLqaJ7wJwMTUEqqh48fZttnlXM00/sOborDHZEtQUxyy7Y8gvPWpSZBTkUDLpfgcIgaZJHindAF5+GoaQOPIYR6WrF57iNnjzqJOfXJIzbkl38ZwDgliH5GRLFRUHv0GsMtRr5/CO1dtT9+kptK4JLwePEHC42t/6dg8IOtH7D9jxYGpzT/uyshfKFhoQhB5IWrmJ8Lu5BewndR+lUul+AJ+DHwx8EsAvquu0yfw/BD8gaIvPlcvlTwH4VLv1gvP6Pi4BNMGdrqOxX+i8q2tvbpso5CxUNDzy0Gw1m6exkVw3jpj1VkBwbe8G1ApVOCci0axOQ2DMU1Tscs2kkTSLz5wFHL9m//rqLIpOE5RrYN7EgCCkDEUOeU/TgMcZvvSdqDqQlYgQKNQZge7DuSnNNKezBXAAltoRRn9KHVvoeIml/1SKkPi5qcxVpkCpiIIY4XnQVa5SJrBlhGDZVCO2AXOkAPdMBdbqzhoEnQ+LU4YWESFoo/fpmuvCWP8YOLjk1CVrCCShwZI0YlDkd7fvzSFSJziMGGUI4CDv+TmQ4fV+QCBk9CfrVYyBwyPyvXNo54721p5hrMr34GR1Gu9Zd1nquvPSEOjWtXOoExsZ3vRvWwo9KbYplcuOygcLEjTz7HKtaghGGxYAFxz6x8qw3t4BwZZ1vdh7eBIAsEkQCGNkI3DmEABgYNs24EmZXZ81zn8/l05toQHBDHxnfrBUKplql99SqWQCGARQL5fLUyn7OQk/m74CwJua7xM1BqVS6ecA/Cl87+O/A/j/pYiXkywMFi7dPtsLsLlH5brOSZNIf082NSDIdMBbH8l14SCNmGEGpzH+o4QQhHQcnh4QeIb8vcfi6ycOgcrTsm12EicMX0y7oeYhzzj25gyYPEG0FSAEBqm09tXdNGC4Buaq0fVK0hCozZfkrKj8io5m/Uc058WvdXbHUOtvb3p+ZVfDDKjUB6EqD1xMQAhcW76apiUGBKGITZjMNVlQlVt7KYokl+38GiEEfR/chebhKWQ2dVZx5bycx3nUELSjDJnMQLaRBeO8bb8YQBUeX9oma6EMgHPwhjy2ka3XtGhEYuKIcIIvH34JtyiIgJs+lUhGCcH/ddV9ONuYw0guPSBN1BCQzhCCF4428IO+n8Bq9xR+aOYrIGbnfT58hCDhOQrKjoqUlk4KOKiUoYpnIgwIdEYNFc1763Qs7sTuvG4tpmYa4JzjHTdGvSrofT8F9ujnQQbXILf1cuBJudCl63agRr5AtiDlQuB4vwbfGdcRAUvBMV5ps6uwulCsW0hQyWg7fFrR68p3v42oQdm/KZfLv6YLBkql0kdKpdLflUqljyYcPySWH0/4/i1tvKnAWAkzzWBfet1xW80QaGwk3y3RewxmwKYGHGGAlDQEAUJgzjMgmBdCoAQPu6bGsXNtFoMOw82zDnZXXNwy44Amvi4hZSgKdLobJroqsuRFhxDQnBlryCMhBEoztrGMHxBklIDA3tiHwo2RgNebmmdAoEMIqvJzISIEXkY+vpXVUYaE50ETECwjBMvWiRkFG7ldw6C5i1fXPFbt6AJqCADAdM1AQzA/p27J1B09R4shBAD43GS0gp0BoQaIaYFceaeUOCJBxYPvDa+T9unMJyKAXyyjXTAAzFNDoHHeH3llApxQHLdW45i5et6UobZlRyVB+vwRggZrE7hmcyDbbwQAkGve1Xb/bzUr5m386Ht34GPv24muQnTvSP9KGA/+MugtHwAhBLdds1raztVQ4C6WLYaU+RvB/+/XfBcu+9oC9nEzgCEAj5XL5Va5lVKp9CsA/hMAB8BHy+XyH6bsfxjAjyBqctayIOD4WPDxX9qc51vSVN85aawYGUivzdBRQJDrkug9lFHYhglHgHXFhzJ09OcdEGg0BIkTqCc7vjeNn8KHnvg0LqtEDvDqZvJL2wzoMASN1rJiw271WQjN1qRWeh6Ix9GyhkC+pqNZPyjLutFVKty8Fv0/vAvWYHR/CjeswXyshRDko4GMVRXKkNCp2M3I19KSNATh38Kd1FCGVIHeckCwbEvVYuLmRbSOAgLP7FhDINol/0ZpOq6jMqVdldz9MThX3R19DmifTwzKY6FznjKySfOLrspQWrU7ABg1h/AtXIXHXzzRUfUayzASy46GImpxP52MtUyZQxsBTTXpbAyDgt7/M6C/8Eegd3yk7f7fikYIafteXneZTJV7qwUEnwRQB/AbQZUfAECpVLoWwK/DrxD0Z8LyzaVSaXupVBLFto/ARxruKZVKPyOsOyRs+wfC8ssB/H7w8ePlcvlzbc7xH+DTm24tlUr/RtgPAfDbAG6Ej2J8paNf/FYzJROQNIuMDKQzqjoJCAazRQkh4J7Pf/RoVDCOACDB4OUF66YFBB71WkhCa5kWIUjYgYZeBM/1hcwaG1UEstVgICYCXG1wwPJ8x3h71cUDZxu4ei4uKKIFTdUiCSEQqThALYB/swJCEOM3A8hdPoLc5Z1U6Q0seAYkypCACHDGwYROxTGEwLQEp5+Cc9oBQrBMGVq2S8OIQZHZ4gf4mc19iypubtfQEdAjBIkKgktBVdyhETM+FvK56eh74SIQQmB0R7SyECGoKRzt80XRmF+VofR7/njhJrzO1+Dpl0/h0Inp1HXDY0wl9EhgQcApUoY6GWtjCEEwffGETcPeCiSXWgxy2RRTr/PFtIVqCFAulw+XSqVfg8/jf7JUKoXdg+8O9v/xcrk8KmzyHQDrAfwEAnFuuVxmpVLpJ4Pv/rJUKv0UfF3BnfB7Hfyvcrn8kLCP3wJgAZgC8N5SqfTehNP7n+Vy+dFyuTwW7P/vAfz3YP9vwi9Hug2+huCDqgbirWzO2Qqck7PIlgbjM0jCYNXfk8XIQB5nxqvoKtiYrcgc804CAosaUkBQazq4YWAd3uT7YvWzOQBGPRDOkWXJ2gUVHQASKENJgyDT33ZfG6DwTwG8WLTw7snotx8pdGFwehxiObaw3HDO49pAoLWeJiCgEkIgZN6FiSXrCj0HNAEBzZjouXcrQAhqL7erpBs5/1ImVJg4Z765v9VMiBZt5PNcKhJsGwaIRcEbXnDeJsR8gw5tXqYMLdulZL0P7oA7VoE51GkV+85MFRVnMwbuu20TKlUH33zisL+OZ4KBS7mb5Ezk0utUfK4mN1gMxou5ZAdZ7JcTBgREKRBx3hCChGud1oegEzt4bBqb1vSmrmMQipppYdqy0ePI87IHCgvAtBNV2SNJXr24nVJl6MSoXzTjcMbA1ro/zh8VEkPtGpMuW2R3Xr8W33/mmP/3dWvbrH3hbMEBAQCUy+U/K5VKR+EjArcCaMDvAPy7Ys3/Nvt4plQq3QDg/wFwF/ymYfsA/J8A/kpZ/d7g/14AP5qy228DeDTY/xdKpdJNAP49gNvhBwInAfwJ/E7FY52c51vBWNPDxN++DO54cE7OxiHJhPeaEIIP37sdYxNV2JaBT3/lNel7u8NmWIP5AhAUNeo1C9jQNYCtvavhEK/lSGcZUDV8hKCvWU8s2QkArhF3uD3GYr8rMSDw9OgD1YCjT3dbqCs/c293D66ZBqZoVygnaIURq5vpVKdYfXMklx1lQk3qjIQQJAdiXbetB/eYL1wmQPUFfe+/UDAsZeQCrq07UUPtlTOt5eZQAYNZmc9tEgpiG0JAYIELImyHxK+lKrZbRgiWbSkboQTWyOJnP1XK0O3XrMXG1T04eipq22N6hgYhSCg7unQSjgs2oqMMzYoV8eT1s2Y0LkUBgbzS+QoIku6HrnSpLkhIsk7q24d2OluIBQSuQeFxhi8e2gNwYPXpVZg6ZOIlOoorS8Ot9cqHJlCpObh82yAs09CW7gaAPUUT3Z4LwMBzxeh6t2uwt2yRXbFtCJQQ2JaBtUp/notpixIQAEC5XP4qgK92sN6GlO9eB/DDHezjnOrPlcvl5wF88Fy2fSuZN10Hd3zHzTk1q6mgkeyYWSbFquFirNqQZdKOm+DcsXoLHj1+0t8uKOW5qjiAaXMMWccf/HpdhqphgBkehutVUCRXXPCoHiFQUQIdjQhAq+SoalnmQX1FqpSgqfzOE/lC8F0WYaG1MLAZTtEeAAlZviTKUJBRXz1rY8dkRN/SIQSh0byF3vt9ncLsY0cS1wtre0sTsOMvUysWmT1Z9NnyMQkhmkAm2lfGigtClxGCZVu2eB8CK3j/i4Kex3T9Lu8yD7z9vi/5IFu6NgY4J7LmSxkzLKEXTnJAMD9RcaeWNH51aag8KkKgVvQRbXpWPz/p7Ew2j9LspLTMoxSnq35wma/nUKz5Qe13njraCggOHZ/Gwz84CMDntF9/+coYQhCaQwkOF07hgL2ptSybMZDLLpo7+ZY306DYvX24/YoX2JZDurehyVlgFtcQdGAZRWTXCV0otP5C5Mw2wyw0I5gWzqsnaPlrWATDjVoinx/QU4YAoOHJQYsuIGDf+QzYV/9cu32X14wtq1PAUcb9BjXhEIIKzbV0EBS+DiIN2fD18HGTKENC7wNumDAZwY+9KQ8ktNOBWLnPPfdHgubud24GoHk2hP9Dy/x/7d15vBxXeef/T1Vvd9eVdLUvli1bx7Jsy3i3McY4XrDBYUtgWGMCCSQkGTL5/ULCzGQCk8xkAwKZkIVM4gmQyWb2sCQsIhADBoPtGNvHCxjvtmRrl67u7e6aP6r69qnqqu6+ey/f9+ulV9+urq6uvrd0qp56znmOWc14qXE8SSwg2LyLI5vMzPPxwcb1G8YQKCCQPpS8s1qInrsZVz/wqQYkulW2MTFZl/+X8jwvNrA4zL1mfyl3PEYtEPCXOUMw0kZAkHU3HuDgkfYDgn2lxkqAZTwOToXdhYpT8X2pBZif2vPAzLJv3RlmkbMCAoDN04/Fnl9xwda2BsdLZ1NI14fcmXGDSrUhx9zOhVnyP/9s+g+6J7qpqEvNdOBxxNmvFdEd6195zpXc/ZnvkSO73241mrhg8/A4Tx47NJMZ+IM7vhhbr5L4nsGxwwR37EnfZlAkoDGVd9z3Gu5KHS8EHM0XOJYbZAX1KPv0Y/UuUElFHmF4Z3pZuaxBxfg5VpzIxeYgKOchN97eBDDuPAIQzRYa/Z5rs4V6zh22mYBg2inlV8hR2jrOpuONjb9XdPrvXvIKRp85zqFHHwyfp5wsGjIE3X71IjIHybazFiAk2+FkhiCzne6hLkMQ3qSYaYuSAUHid+CW88waQ5Ac+7Zg+5nx5xgtNLbPyYCg3OTi+/DRKR54eD9f+ubDbFo3wosuPyXzb384Uaq07HmUCXhmMuz/XyjHL/kmT5QpFfMNF/9BEDTtqrS+/DQXHfs2Dxe3cv5Vl3LaScs3R4gsHIV0/SgXvwsctFllqBl/VgFB/ULwsaeP8Bc338n37j/AUScgGIhumAyVCmw7eqhphqDqVXjptt28Y/c1FJ3Sa08cPxRb7+MP3c6Um24uZ995OR7sbFhWBsrR9/yX8SI/KvkM+19m2g84li9wzB+k4vwannO0zEhKQ3/wzEFWvvpcite/LPWzs8YQBLl8w/wDdz+3lFplKE11Mp6R8HyPobPXM3T2+pmqKakZgun6737g9AkgnHH6ms07GSsM8FM7wtrTsczGdHUm2EhutyZZdlQZAulHyeO+9jS2OAj7klfbqTLUQ4OKIWMcQe21xPdLyxAkuwz94NGDixIUzC5DEF+30qT0ZBDAp77yIEePT3PfQ/t5+tljmeseaggIfCrVKs+cCAOCZIbg8NHpht/FQCnfNEABKATTXHz8O7zyyKcUDPQQBQR9KHZxVg7arjKUtHq8np7cbdY0WTOumI836oeOhA3StPO5tUm8Sl7ApmOH8WnW77PKpetOoZjLk0uZFdL1pcdtW/tYYbxh2X1DOcrReIW9RZ9/W1Ek7z2GBxzNFTjmDcUCAoCRlO5YG7ZsxNts8DIGlsVn53SqDOXylJwP+MHYJMHG9iueDJ5R72qUOetrIS0gcDME9ddfcfJz+P2LX86l606JXnMCgqkKgXNSSSvTmE/cJeuBaxeReasFCPELTC/KELhL+uN/THxysjxBsy5DTjtT+/2kVdT5wSMHFm4HI1ljCEZSZhxOTkzW6gLcdWwyvWrdVZtOTwkIPMpBdSZDkK/Ez4+Hj001dEk6emy6ZWnWQhDdXEor2S1dS12G+lCsga1UG1PMbZ5nLjlnI1/7ziNs27SCc89ov+b9QMYdbbdvfqEaBhm5A0/jB0HTDIHnVRnIhRfOtYvMTccO8+qHLE8ODvHRbTsJosb6Ew/dwXVbdoVvzKgulHTLqiM8khvn8YlnObDiAKf+cDu5qILOD4bHOVQocaxQ4Fh5iMpMwdRsA+PNL+KzMgTki7EMwVSuyiVrT6FdpVNXMXzRZiqHTzD6/G3pnx0LFhszBF6TsSJuydKDn7EMnumMdUjJECTvjM6mmoZIryrka12G6ss8wvs28bv/rasM9ULQEL9B0nzGaLcrq58xhgDgS996mM3rR2M3tea9nym/64KfI+f7+Hix7E7DGIIFmJzq5Sefw33FYfj+rTPLyn6YIaiNIUgGR5/88gMkVYOAI8eaZ1BmAgK12T1FAUE/cis3VIPYHeDasnbsOGklO+aQLhwcyM/MZ+CadtrIlUxy+sUnUbnvOwBNMwSeV6UYdT+p3Xn5hftuZ8X0FKccPYgdW8W3V69vfGMle24DNyoqD+7j7s3PziwKnGv+PzvtnPBJrsDx6mBbwZQ/0nxK+tgYgtLYzPQGBy75cUp31CsF5Yp5xortjR+A8AJi9PJtzddJqTIUlNMzBEnJ73X8rvr0I14bky9lVoES6XG7zRrusHtZs3JwZgLI5PV+QHsTk8V0fzyQMltxIlJytNNlqOZbdz7B9Ze3f0OllbQAbTq6g57zfarO3fTGMQTtt31ZwUPO8zl942m4rwaEGYKpmbl22jsgWg1kLgR9M2VTX1GXoT6UrNyQHGzaMKZgEbz86h0Ny8pugxrNZOUd3AfQNENQ9IOZxriWIXBrMZ92aH/q+5plCALnJDKd8+PtqFNTvxJ1UVo1fYITXnFmhuVmcsONJThdyQyBd+0b8V/2dirrtjLgdBkqN9/MnCTnIQiCIJ4hyGdnCJoObm6j7nbaZHIi/eDKi7by2hfv5NUv2lnvMuS2h0E40DN297+NQcW9EA/Euww1zxCkDipOmxURuPeHz6Yun6tmZZOTYwaSz2cTEDTrXpTshjpSnqZcrc4EJinTwaQ6cqzZzTLINe3CK91KGYI+5eU8akF+kJw8axb9GedqMKXbkNtlKAjCiXg4FAUETRqgonNXKG3Cl8BpfGONdrsZAi/eDci9S1f78ejQGFOTxbYi7GbdbpKvB9NV/F2XAZA7eiDWZahcWPjTvVcLfoLoXyKD1CxDkF+RHRB4+TYyBE1K74n0Ms/zWLc63pUwPoLAo5qYmCyrKlfQostit2mcrTj7+6VlCIYm07sFFVK6Mc5HsxYumRFo7DLU/t+sZfei0hCcCLPvhaDK/QefnpmHoN0QcSrZa8CxMdhX30pK+WnpXsoQ9Km0MpA1S5EhADAnr4o9r3qec9nvQ7lKcHBv9Cy7ESz52X0zASpuQOA2iG2OIZhOBBmB56btw+3de9q5THkF/IX41eW8ertdDWaq9eQ8n1K5vi+VNi6y5yJZerTdMQTNMgRZA6hd6jIk4mhZdnTWm+hK8SpDeZp2GUpkCHIVn6HJ9IvW0eHmXTfbEQQB9/9oP/f84JnZBQQNg4ob276sv13LbMKW02NP/+mRu2ayr2kZgpM2jPEfrjudNavqgVNWQHDlRVt58ZWG2i/e//G3Nd8X6SrKEPSrZndHFmCAUzuuvHArG9YMs+fWR2aWTXv1WX6P37uX0r5wApRckH3xPtAiQ1B1WtZYw9xmhmDK98EJVdwuqbW7UJXxdVS8AJ/5962szfpby9wE01W8nE/e92NVhqqLkCGAMAtQywoE09W2MwRNx0a0kyFQQCAyI3lB2PbEZL00MxnxgOBQ9QpW+M78MsmZip32yat6FKfjbdILLtzKV259GIATycz4LE2XK3x6z4M89Fh49/2Ms1c0rPPSbbuB1hkCtxvQ9i3jXLx7AyvHBviTv72dSuIGXatsgn/pS6k+8F0Abl0VHzvnHjMrRopsXj/KpedsYnS4yMqxAfY+Gw4+nppubItf++KdM1ms4M2/A5UK3sr2i4lI51OGoE+l1YWvWaoMweBAnnN3ruOkjWP1z3ba90Off4Agmoa9dh28errKRYemWec05gPOV0nLEFSdRjDW77bNkmnJDIF7Wq7dcRnyw7vjC3X6jQ0sji7Ic55P0ekPu1gBAYm5CNquMuR5jF55cvprGkMgMite4sZD2xOTZWyjW3mx7qU5qkG9jGfyd5DzvZluoT4+vtNeDg7lOPPU1TPPJ6fmd/Pma7c9NhMMANx958HY61dtOp1rNu2M9qtVl6F621fI+6xbPUyxkGNiZcrMwy1u2HkTm/jieVfx+Q3b+NiWU+MvOqf2V1+/k2ufe/JMpsTdx2SG4FXXmViXNm9sQsFAD1JA0KeaVn1ZgjEErgGnXOVgoq0LCBurAwNQqgZcvX+K7ZMVnntwemYA74AzHXCytj0kMwTO9y7PZgyBs09e0LDeYDRfQKsuQ+MvOb35CrWtJsYRQLjvboYgaHK3fj6SpUcrByad/Wr+mcPnbcIfa6y7nRWA7lq5Yebn8ya2znJPRXpXMgPQODFZ1hiC3jJ0dvzCMzZHTOJX4HleLEuQc+ruj44WyOf9mYChUglmNZg36fZ7n25YtvWxLYwdDm9w3bD1rJmL7NYZgvp+5JzuvMlxJcl1szyxfhuf2rydQ8V4W+weM8m5YdzxF25AsG3TGJvWjrb8TOl+6jLUp5pnCJb2Tm2pmH0YVhnGZ4r9Q7Bh6gA+4R2TgQDyQdjFaMBp2JJ3YgCqTrvnDioOmmYInPWS5f/cMQTRi/loXoLs32qFiTdfSD7ljk/qp6dmCHKxMQRLERBMPXKQykE3IGg+IBrAHypQPZQoW5cxk/UbTruIPU/cz7bR1UwMjMxth0V6UGrZ0XYqCPVYbfjChlEGdq5h8p5wPFk5cEpdp6RAioXcTHcgNyDI53w8z6NUynE8mtzrxFSF/KDPjx4/xJP7jrJ29RB7bn2EFaNFbrji1FkPPB48McjA3gEODx9mIF8vA7eqNMRTx+vZhIKfzBA4N7WcC/N1E0NwX/wz2pnELO08CPESrMmqSO6kbm53qqxtSe9RQNCvmgwqXuoMQVrFoZoKQ+TZz5SfYzyxXzlgGhj03AxBjnXHj8bWc7sM+W2OIQgyfk4+rzWwtSEOWSfpXH6q7WAAkhmCWi1rj6Ib3SxBQHDszicT+9X6M/3B9uuhjpeGZvrZikid2x3Gw6NaDWbKR0I46VWaWPvUA12GAPKr621nPEOQEhA47VeuWj+31O68DxTrAcHDTxxi7aohPv6l+6k6XWX3H5rkm3c8zvPO25y5T6PDRQ4fbZzAy8PjsonTYstesHEH9xwI21Lf8zh79abY6+5df3dytTUrGwdEtzOJ2epS6xnsk9f5bkDgZghybcwhI71BoV+f6oQqQzW7T18z0xg9PXg49lo1CBvEsuczdiJ+Aqx1zyl59cYr7/u89f474tuYRZWh765cy6Nb6lUUoDFDQKzKUPQZrYYj+LPLurgBweE9PwTC7lAFJyBo5+J8LtwZh8tPx4Mrf6SxO1BSflVj4BOc0EQ2IrMVJMod1yeYgmIuI1vXY4OKAfKr6hfGFZzBuykBQcFpO2MZgugc42akP/e1H/J/Pvn9WDBQ8+27noyN2UhyL5p/7OJ4d8erN8W7hp69ahPXb9nF9rEJ3nbG81k3OBZ7/dhk/e/qBgRrVw2xOlHOuZ0uQ5dvOC11edMMgfO57qBiZQj6h/7SfapZl6HBXWuXcE9gZKjIT15reMGFW9k+kriYJ7zTUfE8xqbiJ8Bi1Ihf/s1/IqiEDWqpWmXdiePxbWTOQ9B4kXr7yjVUBuJ3VxoyBE5AsPHJjeFnRJu6czg925EytKEp92J/+okjVI9Nk/N88s4guWaThM1HYWN6f9Gxq7bjF1t/ZnFLY7WNkjOYT0Rmr1oNmHLuPBT91gn+3ggHSB2XBKR+wWLGGIJC1F4OzyKD+eVvPcyHP/V9vvrtR2LLgyBg2rlo3nXqBOOj9X1M/m08z+Ml23bzq7uv4cxVGxs+50eP1wckr11dD3583+MnrjWcsrneprYzZ8FIodQQdCT5iW6cvjIEfU8BQZ/KCgjGrjmV4qbmDcli2Lh2hOfsXMvAQMCI942Z5VXCxrHi5RiZjl+MXr9/ipc/awEI7v0mAOMpF/mzCQgqnsdALlnrOt4Au3ftckEOv+LPdBm6dzD9gnm2AUE1MVNk9UQ5HDDnZAiCRerwN7BjIn35GWvaen8yIJh483n4A+qdKDJrbnMVBExX3ICgdZehXokIcqMZJY0zxhDUjB6rj0saLobbuODM9Q3vyXKH3cve/ce57e6neGLvkZnllWpANcoe+L43Mz6hJi3jkOX4ZHmm3Kfve7GqexAGMDtPqd9QcTMEjz51mH++5SEefSqeWQcYyicCnyAxqDjxu8tnDCrOZYz/kt6jgKBfpUT9hc1jDO1uv7FcFMUBPKeWfxAdol61lDoz50D5pPCHqDxpakDAbAICnwE/R6zLkPN6wc+RJ34i9vCoRndtyr7Hk6WnGrbbzky9rvKz8SxHbXKyvDuGoNk4kHnITwzFug0BeIN5/CZjPVz+QJ6x606jsGmM8R8/fVZjJ0QkXRBUE12GMv4/Bo1dGrudP1RM/TJppVeLGYUPal1xNq4dYcOa1n3sk/YdqLfJ7gVzLSPh9qyZzbjuE07509GhQur+u3fpK5WAqekK5UqVT375Ae66fx+f/dcfNHRvyhpjAo3dhSDeNWi6nD6mQXqb/tJ9Ki1D0Kwb0VLxhldAbFbicJ+Kley+60HATAu8oty8r3rVbTQzMgTB7ivj23d+Xjc4il9OXCwHXmxTPo2DlWcbEDRcRJfDvXAzBNXFmqnY82KD+CAMEmZj6Mx1rH7N2QyY9GyDiLQhliEg1mWonUHFvcLzPfzB1IigYVHWBax7UX3FBVtmvQ/uRbTbx74YdUWKZQhmERG4yYRkKdAa9zs98uQh/uzv7+ADH/nuTDWgI8emOZ4Yp5Uswe2OH0jLWPsZXYPUZah/LP8VoCyLtEHFzQYaLxXv/BdC0U0Ph42RF2T3+yyzitppcHQ6repDvcWNTX6VEhCUPZ+xdSfBRL26hDuoeN3gGH6lsaGtlN1uRI0BgV+c3e929PnbYs+DcoWgGpCPdqZKsKj/e/Or4wFAadvKjDVFZCkE1YApp81qawxBr5QZAnJp3TFTvl/WhGPuRfWGNSNcck5jX/5m3N/ltJMhqA1ijpW0nkVA4K6bduceGgf8unfwa44cjZ938rPMEOQzBg/nOuC6QJaG/tL9Ki0b0AF3ArzVG/FOv3DmeRBE+xlkN24Hqi+hOh3u+9D0iYbX3cnCKu4cC9XGE8dwvhjeeXPKtq0o1qs87BxfT76aOBEHUHYDgrQMwcDsBgAXt6wg51TrCcpVAuckUPYDvNkOTJiF/EQ8pV46WQGByFJzW+RKkBhUnFFlqMemIZjhp7WhKRe2R46ll5NO9oXfun7uk22ldRlyd2U2Ywiqbcw+nW/j3Pzde+JdVZtlCJIDirOWhZ+ty8R+ob90n0rNEHRAlyEAL5YhiBpbml9QH38ifM/g1GTDa34sQ+DUB03pXjRSiLomOY30q7afz8u27eZN5lIuXX9K4/7iUXb7XNKYpfAHZz+oNj9eD0SCchWcz5j2g0WtMT64ay2FzWPkVpQYuWwrhXWaNExkyTn/x4MgYLo6uwxBzwwigPQxUymN4JaMC/3khe3IcMZA5QzuYN5Yl6FahsB3MwTtb9dNWmeN323novzuB59h/6H6+S9ZLtTLGktXWz8j6Ci1UVlOeoNKf/SptD7tndBlCMDzfaB24V7rMtSiUSqH6xdTAoKLJ07ic7XVmmQIHhsc5vC6aJCy06CPlQZ54aZdM8+nClMUp+snk0I5zyNP1itQ5IO0gKD9Unf1DTmzEperBOV6MFP2AxbzbO8PFVj96rMXbfsi0o76//NKEDDVTpWhHhxUDKRfLacsOveMdXzrzicalie7voyktMnjYyUOH51KLe3p3vSZKrsZgsYuQ7MbQ+B0GcqICNrttvPkvqOsHAtvJDV0GXJ2Ke1zsj5jQAFB3+iMK0BZcqkX/x3QZQgAp75+0GaGoDbrcKHcmC6eKNX7w09VK9wbzRjpjiH42OZT+Z+7LmR8sHYn3B3pFd/eE2vis/dOPBsfOJsnpdtSGxN6JXnJgGA6niFQNTiRHuf8Hy9Xq+HYISDn+W1OGNU7jURqVjul2+RgKc/P/ETjzYzkHfDkBfDYcJGfftlZvPZFZ6R+vpshqA3mhaXpMrRipMhAqfWFuRuUXJGYnCxecrTxvVnlRQfarC4n3U8BQb9K6x60xDMUZ4rd2WgzQ1C7258SEHiJuzXvv+sr4Q9OQHCgWKLq+aysBQ/uWxKt5+TAJJPFeiZiYCo+k2Seffgciy3zh+PrtCM28VjaGIIeOtmLSHMnKvW2rVlJSVcPjSnO6DKUvurocJEViZswrbrd1C74s7rOuAN5Dx+tZ4FHBsNs8Zy7DMUGFaevk8v5XLJ7U8ttuUHLttHVvGzb7pnn7nQ66WVH1WWo3ykg6FNpd1uCNmZAXArxsQxRjeeg+aFam6mYlEHFXqIQXzUIq3XsO3pgZlk5utO0qhgGBG6DnnZSreQqjQsjJSYZ9m6LLfNHZl+L3+3WlRxUHI4h6KWzvYg0cP6Ln4hVGMq+SOvVQcVeWkYkOfmWY1tigs1W5TPL0fkvK3DICghGR8KAYM5lR51erM3a9B1tVHpzAwKA560/1Xnmlh1tfwzBQFEZgn6hgKBPpQ4grjSWMlsWObfLUNhI+S3HENQyBI0BQazFjfziLX/PE4efqb89OtmsrFUXijXojQ1l0KTadymYouj9KLbMH5v9oFw3Q5AWEGwcWpH2NhHpQVPlNiYlS+ipWwb5lHNAKftGy9pV8dLJrTIEtYv4rAtjdwzBoSP188xYNDh5IcqOZs1DAOGMxRvXNj+PlBPlSN1MUusMQfrvp9RGVyXpDQoI+lVKoxek1DZeDvHsRXsZAmqD7VLmIYiVcXAUnEBhyvfx8dg8Mp6yQ/GnEwPDsbkJGrYbTON704x4t+BzmGHvO3ijcwkIkoOK6/s7PDDA2atap5BFpHu5122TbQwohsTNil6KCFIuWJtdQK8YjXcZSrvQv/a522Z+vuaSsKBE1oWxmyE45GQIxqKuSXMdQ9BOl6GaF152MufvWsdwRpGKciLLf/DQFKc9eTIbnlrP5qF6hiHtK2ZWGcqY+Vl6j3JBfSotQ9ApXYbIu4dluJ+5aosuQ7V5AFK6DLkBwWB5mrLnM53LUXRqek/5ObaOrmIgFzW0QfZJ9S07n8df/uiOzH2plTkd9C2DWDhlN15h9oOK3XEeJ37wLEe/8cjM863jq9VlSKSPTFbqF6FNMwSxpqt32givMLtKbeOjrccQ7DxlNVPTVTwPdmxbBTTJEEQZ9Go1iE0CNjrc2GVoNt222u0yBOF3uvz8LUyXq9xh92buY82nvvIg/rECYxQ4vbqKe3kWaD9DUCrmdJ7pIwoI+lRqlaEO7jKUazmGoBYQpGQIqmHpvm1HDvJ2+10qnsdv77qIYtXtguNz6sgqZ4PuBhIT2oysYmJwmKmjjR9VrKZUGHr+q5ruexavUP/O5afiH9Ypc0aIyCJymp579tcnnhrMZV8cN2m6upqXdqHe5GJ1ZCg+z0Al5a6973s8Z+fa2LKswbXTUanRyRPlme5FpWKOQtQWu4OKZzOGIGij7GhS1j4muwwdPFw/Hz3xZP0ckl52tHGZxg/0F/21+1TaBeWAmUhZc+l5sRk428sQUI0as8wMQY43PXjXTBDwmofupZDIEJTcu27NhxBkNtwvOfxPjQvH1zYua0OzeSE8pXFF+kC9ndl/4hhEccA5qzcv0/4sozbnIZhZPbH+WJsTkXmeR873GgKIZw5M8nefv5djx+vZAbfrjvtxQRtdhqbLVU5MlePzELR5Nz5r68kMgctNAKTd9U/77KE5TKgp3Ut/7X6VvNj0YPCsdcuzL0mxLkNhI5VvlSEIfILy9Mx8BPEXq5yxcjOrnUnLthw7TMVpAKd8Pzbzp9sPNzVlmrIon/PZWI5PH8/6U+accm2WBciNzG6WTRHpPp4XzGRJ3avA8ya2Zr6nSW/H7pbajjb/hq+81vCNOx5n+9bxhoxBM35KQHD46FSsuhDA4ED9nOHFMgTNtz95osxfffwuJqfKM12VYP5lYpsHBO5MxY2vp138J8dhSG9Tv4M+lZypeMX1OzpmpuK0icny1eYtZRDk4djB9BerVV576gXxj6hWY12GpvxcfKBeiwxBWsNdyPuwemNsmf/itzTd72aaBgRjaqhFep+X8lOrKkO9GRGkdxlq/p7N60f5yWsN5+6c3c2u6TYLbAwPuBmC9qsMfevOJzh+okwQgP3hs6nbaCZr88lBxS5322mDsQv5HC9+/imxZcm5HKS3dcgVoCy15MVmxwQDJLsMeVQ9j3yrQcXk4eihjBerTAzEq/wMVisMOXW9p/1cfLKfVrfZ0kpi5338F70VSkMwMIL/xv+BNzb3bljuGIKk3IrZT3QmIl3GS39SaDZLcY8OKp5tl6GlEMsQzGIegoNHUrq2kpGNnoXkGAJXPEOQ/jlutgLCWZ+lf+iv3a+SAUAnDVItxKsMVfwchVYZAvJwNCND0KJxrgJlz6OYy8oQNH52VobAm9iE/7PvAc/DazJpTluaZQhW6M6NSK9La/Vyno/vZbcN7l3idgepdoO0i+XlroAzlDmGYG7baxbnubasH+X2e59uWN6sy5D7u2r3uBhpc9yF9IYOugqUpZTMCKSmY5eJl3P78vtU/RzFSquAIEdwLDtD0MyUnwPPS2QIWu1k4wq1ahNeoTj/YIDmWRtfqVyR3uc0e7Ump2l2ADh+oj6Oamigh+75ddA5qsb9/c61ypCr3QDn1K3jnLVjgvUTwzz//PoA8x89fogDUWWhZHAQtDl4+ZLdYbfXlWMltm/W5Jf9pIdaC5mNTu4ylBxUXPEKjEyHF+vhELu0xqxZhiBsGKc9j0JKQz0VnWALvvu5bt49rcxQyh4s8O8wawzBwM41TSfkEZFeFP6fLzSZlAzg2GS9K+RgLwUEbRZ3WEruXAez6TKUpd07957ncfUl2wB4fO+R2Gtf/+6jvPj525marsSWuwFCs8+55JyNmJNXMTZSJNdJ1wWy6PTX7lMNGYFO+o+f6DI07Y/iRy3/8Yyu82GXoQPpr0WDh8sZafap6ATrDioO5jKouEmf/7lIG0MwfNFmVrxox4J+joh0prR2Jt8iIDjuBARDA/PPVHaK1Jsgy9hlKOd7bN0wlror7ZQdTTOXr1NInLvve2g/EGYLXO74glafs2rFwILf4JLOp794v2rIEHTOHWfPSYkHeFSpN7qHBqr824bGrkEBOYJ9j9UXxOYUCBvnIKMVTAsIWiUIssqOLqS0DEFh09iy95sVkeVTbBIQBEHA8RM9miHooHMUwCtfaOL98mMZgrlts90qQ67kecf3PB54eD+f+9oPY8vdykm9NLZEFo4Cgj7VcFHZQe1DvPuST5V6haCnCyf46qaDfGHrfm7evi+2Hk8/XH+6cn3956jLUKGaPpZgutZlKJdRZSjll5OWbCgVF3ayMC/fuD1/gT9DRDqX20x7QesuQ4/vPUI1uhot5P2eusvb7nwwC+GGK7aTz/msWz3Ejm0rU9eZGB+M74pzkd2q7GjWy3O52ZNP3DiqBgGf+sqDDeu5g811U0nS9NDtA+kZsbsXPtXq8MyzZ4vTnMgH3LLxMPmqxyuidi/Ah7IzaczKdbDv0fDnapWgWqWQMbi4niHI+O/QZqb61K3pJ445y6cEIgoIRPpG2nVjvprn+w/sY+uGMUYTVWA+9i/3z/zcbi39rrGEXYZOO2kl2zaNkc/57Pn2Iw2vv+QFp1JIzBYfqzLUMiBIf30uN+4LbVYIdLsMzSUTIb2vd24fyLyk3Y1eLuHdC6e/Y1DPEOwv1dPhlViln3x86oBkhmA6ve4zOBmCzHkIWt+ZGhrIc8oCV2RI+5t4hc75O4nI4gpSQoLiQ2N84d8e4mNfvC92YVmuVGNBQK9d86UVvljMr1jI5/A8j+HB+DiMiZWDbN863rgvbpehKjz8xCH++ZaHeCIx6Beyy4POpVjEQCnPWae1nu/GHejcbnlT6S86LPrY0HlhebHilhXkVw22WHupOSe2Sj1DcMAJCH77wpckjmDnyUpnZsqgCtOTmZ9UyxBklh1NaaNXDw7Hnq9cMbDgaVjP9xpuGXlF/ZcV6RfJZsgLPLyjYSbzmQOTHDpSz4q6PwOcvWPNEuzhEkody7X4UU9ytt6sybrcfvnT5Qr/+M/3cdf9+xr68oevpwcEc71z/2MXnzSr9ZUhkDS6uuhjY1eewsSbz2Plq85c7l1JUT8VVsv1YGX/QD0gWFkait01CmqHcy6PN+zcrQ8Cgq/+feYnPT0wBAH4jx7hxEP7CYKgZcp31+oNseeLNcV7Q3lYZQhE+oebBQ08cuX4/3/70LMzPx84HL/p8bzzNtNTlmmm4rGReLesVRmzxLu798zB+t+iNi+AKysgmOt1etYg4YE2gheRGgUEfS6/crAjBxh5ToaAIDwJVryAw8WwtnI4W6eXKJcanSxHVoF7t79aJbjv25mf9S/rt3LqgQGOf+w+9v/D9znxg/3xfUn5/QyV4mnkZFp5wTRkCBQQiPSL5I2JfCV+gff17z7GMweOA/ELz7NOm6DYYzcPUufKWYJTV/Jmz8TK9Gy6e544cCgeBFQTZYempzMyBAt8oT5YSj8GOvGcL8tPAYF0pIDGO+4HixWqUTtWm63TLZc6kyEYXRkvAxRUU8s6BJ7H75xxAUcLRV5v184sP/SFB1p2Gdq4Nt5lKOskMV9B4k6SGnKR/pFshvKVxgu8u+4Pq625XYZWjPbgTObt1n9eYMnSrVnZYLcbzv5D8WxNJVHhbrocnzSsZj7t+/Yt4w3LlCGQ2VBAIF3DHT8w098/JUPgja2Oj5oKAhiqz2Xgv/n38G/4eR5/0Vt4eHiMBkHQclBxzvf5iWt2UCrkwkFmKY3xgui1SiEi0rYq8S5DyQwBwAMPHwDg2OT0zLJFy1gup7SrlSW4rvU8b6Z9Hx4ssGndaMZ62dtwS37u3X8sNpu0az59+y8/v7GLWFZAMN6LAaPMm8qOStdwKwzlvejiPzaGIAoSRlfGW+dqFcr1kyXFQbzTzmN9pUxp3w85UYk3zt5AnsAdoJfRRm/dMMbPv/qccJWluHOvuzoifSVZZShXbjxlHzp6IpyQ7HhvzlBcM5cKPAvl2su28eDDB9i0diSzzGezu+4Vp6rQnXZv5nrzOY2sHBtg+5ZxHnzkwMyygWL6Jd76ieHU5dLfFBBI14hnCBq7DM3cQhpaQeVYwJHqpeQ4yFBwFCpOQJAPT5bFXJ63n3kltz/zKFAvDecPFqgebh0QwNJ24fEKSuiJ9BM3IAi7DDWesoMAKtUgliHoqRmKa1JqZS5V+ztQzLPr1OalPZvtS8XJEJyYTu8uBPOv/pP8u6eNIcj5HmsWqYurdLcebDWkV7kVhvIpXYZmMgQDwxz6xgGmAhOue/w2im4WIFc/7E8Zm+CUsQme5Oszy/yBPC0HESyDTporQkQWX5BohwopGQKA6ekKzzqVbYZ6MCBIzRB0RtMMNM8QuPMOVCvZFezm27c/WRI1rcvQyHCRXA/NYC0LR0eFdA03Q1ALCNIyBF5piKkn61UeThxz6nHn8g13coLEHRuvmGs5L9lyUIZApL/EAoIA8hkBwS23P07FqWQz2INdhpZrDEG7mp0n3L9NpZodEMz3XLNyLF4SNW3OhKx5FER0hSFd4chgwOPD9W48tUHFbp3+eoZgKP7mwLngzzWeKKvHphMLWg8qXg7JOQlEpLdVE12GSpV6TXx34PAdiX7pWf3cu5mXOr1uZ7TN0Ly7j5shSFYcancb7diwJj42oKSAQGah91oN6Tn+aJF/eW6FinO01sYQpHYZKiUCgqrTXSjfGBAkS3sGlSo0n5dsWfjDxdYriUjPGM7Xq8Gszo1Qq7tcyPuMDPVgFqCZDu8y1O4YguScBLFtzLPLUDJDUEqZiyKr8pCIAgLpeMXNK6AUP1TrVYZSBhU3BARuhiBlUF6yT2dDhmC2e7xwxl54Wv3nq05Zvh0RkSW3eWR85ufzVpw88/PocDFz4rEt69PLYna9Dg8Iml3Lu1WG3OAgGUPMN0Pg+x7nn7keCCsJrVnVOHg4a7IyEYWK0vG8Qo6cFw8IZroMuRmCIBeeIAbiaVMvqNRPHCldhkjcsUlmDJazy9DgmWvJrSiRGyqSXzXU+g0i0jOKzg2MqjP57ehwkXzGwNBrn7ttkfdqeaTfPe+ciKDZgOCPffF+Vo8P8NIrT4uP9SjlY3MSLMSp5nnnbmL3jjWMDhc5MdVY0UgZAsmyYEeGMeYq4J3AbqAA3Ab8rrX287PYxg7gXcBlwGrgAeBDwB9baxs63hljLgbeAVwKrASeAb4M/Ja19p6U9ceBXwdeBmwBngJuBt5lrT3U7n7K0vIKPnk/GRDUugylDCpu6BbkXPCndRmqJLoMVYOOKTLkeR6lrePLtwMismzcC0R3JuKx4SLTlfS+6KO92rUw5YK7Q4Z3Aa1LoD5zYJLb7n4q1mVocCAZEMz/C3meNzNTdVqQojEEkmVBugwZY24E/oXwwvxbwDeA5wKfM8b8bJvb2A18G/gPwI+AzxNetH8A+OuU9V8LfB14KfAY8E/AIeA1wHeMMZcn1h8Dvgr8KlAFPhM9/ifgG8aYFbP4yrKECmuHyScyBPm0DAFZqVDn6r6NDAGJE+1SzjUgIlLjOXcjDh6ppwjGRooUU8oQF/J+z7ZXHV92tI3f+wMP748NKk5Wg5pv2dGkXK5xewM9WJJWFsa8AwJjzEbgT4GDwPnW2uuttdcSBgSHgPcbYza12IZHeNE/BrzeWnuZtfblwA7gTuC1xphXOOtPRJ/pAS+11p5rrX0ZcDphlmII+LAxxv3f9lvA2YQZhzOstT8Zbf/DwBnR69IhVr7iDLzBPMVt4wzsWttWlyGigKChalAsQ9B6DEFQ7sARxSLSd9xrzCNOuzY6XEqtJNSL1YVmdHiXIa+NX/36ieGGLkOuhZ6MOed7DV2Exno1gyTzthCtxy8AJeB91tq7aguttd8GfhcYAFplCa4mvFjfY639iLONvcDPRU9/yVn/FcAI8BFr7Sed9QNr7f8Ebge2EmYsal2F3kwYoPxKrfuRtbYM/DywH3iTMUbzeXeI0imrWPu2i1j1k2fieR45P5khaOwyFODjXXAd+z8R7y3mxTIEKXdHqilVhupvFhFZFlk3nUeHi+RTLv57NTsA0TwsySvmDvq67fzuC3k/NjFZcgK5hf77eZ7Hiy4/mVUrwupDz9m5lvUTusyRdAsRELwwevxEymu1ZdfNdRvW2luAp4HLjDG18gk+8D3C8QJp7oseN0aPlwODwJettYcT2z8CfDF6/fkt9lOWkNs4JrsMFbzGeQimJi5j/yOnMf1YcjiIExC4MxbXXm3IELgBQQedcUSkr2RdII4OFzlw+ETD8mrQu9lNL+eTT1bN6aD2+WhDZrpRuRIkJpBLZggW/vuctHEFN770TP7TT53PCy7c2tNBo8zPvAKCqKvPGYR98RsG8RJemFeBXdG6WXZFj3dlvG4J9/UMAGvtn0TdhP5Pyj75wHnR00fb3P690eNZTfZRllFjhiDqP+tkCKb3TjH9WCzeizgnyenGk2jDGIKyMgQisvyymp/BUr5hEipoXuO+F+ST37mD2ueJlY0lPpPK5WosIBgfjc8b0E63I5HFMt/RJSsJuwvttdZOJV+01paNMfuAtcAoYZedNBuixycyXq8tX9fGPt0IbAceJxzcvKDbjwZQ39jGfgCc0+Z60kJDhiAKCPxiO4ewc5KcagwIGqoMVZQhEJEOkNL+eB4UCz67tq/mngef4alnjs281vsBwVD6rccOsG71EOfvWscT+46yfcs43737qdi4DwhnLK46XVTHR0ux1xcjQyDSrvkGBLVw/ViTdY5HjyNkBwSttuNuI5Mx5jzg/dHTX4vGCCzY9iPbUNeiJZfz4hU1amVHB3as5tidT1J59nja2xq1kSEITjTWbhYRWWpp14elYi4sR1zM85oX7eR9f33bzGu9HhD4iao8ndT9xfM8Lj9/y8zzIAj42m2PxdYpV6qxicmSAUEHfR3pQ/MNCGpXTu20Qs2SYe1uJ3MbxpgLCEuVjgB/aq398EJu3/EQYfnSdpwDqJzpAkjOQ1DrMpRbMcCaN51Hef9xnv27f6d6uCFRRSyvnBIQNMxU7L5TDbSILJO0O8alQv20nbwgrvR4QECyjGYHt8/Jbq7Q2GUoWQFoMmUiMZGlMt+A4Gj02KzzXO21I/PYTtNtGGOuB/6OMBj4K+BtC7l9l7X2JuCmVutF+7UHZRMWRC5x4htIVAvKrxxk7VsvZOqJwzz7kTsS73YDgsnGjTc7iSoiEJFlkpUh6FfpsxV3prQqUFPT9e5Cntc470CvZ3iks813CMshwovtCWNMQ3ARLZsAJq21B5ps5/HocX3G65ljAIwxbwE+RRgMvBd4U8qsxnPevnSGfKLL0EihlLpeccNo2M/UEbgBwUm7SEqOIYjpnvOPiPSBZECQ66KL5HlrKDvaud89rd7/iel6lbtaBuGS3WExxMFSnlM1K70so3kFBNbaAPg+4YxQO1JWMdFn/HuLTdWq/5zRsIGwOtHphN1+7k689hvUJyj7ZWvtr0T71Pb2Izujx1b7KcskmX4dyQ9krEnK7C719/pXvq5xfd2VEZEOlNZHPtnN5KKzN8z8fMGZWfe8ekNDhqBz4wFWjzd2SDjhdAmqBXIX797Aq68/nTe+7EwKKbNPiyyVhShy9fno8aUpr9WWfXYe27gUWAN83Z1DwBjzS8C7gGngNdbaP2yy/X8lHDh8VXLyMWPMCHAVYXehr7XYT1kmySpDw4Xs2RYbT6Lhc++iF+GNr2lYv9kYgk6+AyUiva2dLkPn7VrPOaev5ewda7jwrN4OCMglLlk6uHkeGSo0LHOnifCj8RCe57FhzUhDoCey1BYiIPgrYBJ4R1TlBwBjzPnArxJeiH/QWb7dGHO6McYdbPtVwkzD1caYn3HWXeO89z3O8rOAP4ievsFa+3fNdtBaexT4P4RlUj9Y694UPf4xMA78eXLSMukcyTEEWV2GgJQMQfQ8n/6eoKouQyLSedIyBKVCouJa3ufKi7Zy1SUnUWqrDHP3ahxD0LkNtOd5Te8n9VVXL+kK8249rLUPGWN+hfDC+hvGmNrswVdG23+DtfZp5y1fAk4C3kg0ONdaWzXG/HT02p8bY95E2O//CsKL+A9Zaz/tbOO/AgXgAPBiY8yLM3bvz6y1tbv+/xl4AfAGwlmPvwucC5wCfBf4b3P6BciSqCQKRJX8JoduohUOanFvVvvbpMtQoKoPIrJM0pqsfh5UnKwy1OkJ3Fe+0PClbz7Mvv2NZbEVEEinWZB58ay1HwRuAL4JXAZcAHwduNpa+5E2t3ErcBFwM3AacA3wI+CtwM8lVn9h9DgOvLbJv+3O9p8l7H70AcJg4gbCWZR/D7jSWtuywpAsnxPlcux50/rTDUe1l3iMa9plqNlrIiKLKK2Z275lfMn3o1N0U5UhgE1rR3nDj++iWGgM4vyUsqQiy2nB8ovW2s8An2ljvW1NXrsb+Ik2tjE2q52rv+9Z4D9G/6SLHK9Mt14pkjWGIJMGFYtIB0q2ZVdfchJrVg1lrN0HkhfRnZ4iiORzHlOJU1guOaeCyDJTiCpd4fTxdTM/TwwMN1mT7DEEGZqWHRURWSbJ691tm/p7nkuviyYmc6XNSaAuQ9JpFBBIV9g2upqXbtvNOas387Yzrmi6bjKtXB9DkNEAOxmCsau2Q0rjLSKy3Pq+Ek0XzUPgSisnenyynLKmyPLp89ZFusl1WxonFUs16wxBPSDwCj6e76FORCKy3MrlePay0Oc3K7ptDEHN2lWDPHMgPrD46PH2u8GKLIX+bl2kJ+UaJoSJ6j1vOyv9De4YAt/rmjS0iPS2SVU5i+uiiclcW9Y3DnvcuX31MuyJSDYFBNJzRi7dEl8wOoF31evx1mxuWHf6qSNM3rN35rmX81MyDCIiS2/yhLqVuJJjCJpWm+sgWzeMNix73rmblmFPRLIpIJCe45fyrLjB1Bes3YZ/9hUN6wXVgP033514s9e1aWkR6S0nlCGI69JSnWMjJXZsWznz/AUXbmFwoHEmY5HlpDEE0pM8t69tkD4iIJgsUz06FX9fzuuagWoi0tsmp5QhcHVrlSGAKy/aSrUakPN9dp06sdy7I9JAAYH0JPcuf5BRVTRIm3/AV5chEekMU9MqiRzTpVWGAIYGCvz4C05d7t0QydSd+TeRVtwTRdbEYynzD3g5dRkSkc7wYxdvnfn5qktOWsY96Qxqm0UWjzIE0pvcE0dWl6GUQMHLK0MgIp3h5E0ruO55J1OpBOzcvmq5d2f55ZIzFS/Pboj0IgUE0pvceCArQ5BYnp8YIr92WHehRKQjeJ7HzlNUnnKGmmaRRaOAQHpS7KI+Ix6ITUg2kGf1Tz0nfF8X9UsVEekXDWVGs272iMisaQyB9KZ2xhBU62MIcitK9SBC/ytERDqf4gGRBaNLH+lJsSpDWWMI3AyBU99aXYZERDpfZndQEZk1BQTSm/x2MgTOcnd9dRkSEel8CghEFowCAulNbXQZimUI3AlvlCEQEel8GdlfEZk9BQTSm2ITFbceQ+AGAeoyJCLS+dRlSGThKCCQnhS7qG9jpuJYhkBdhkREOp/iAZEFo4BAepNzUV/Zf5zq8enGdSruGALnv4IyBCIinU8ZApEFo4BAelPiov7odx5vWCUrQ6AuQyIinU9dhkQWjgIC6UnJCWyOfvORxpUq6WMIlCEQEekCCghEFowCAulNbVzUxzIEGlQsItJVcisHlnsXRHqGAgLpTe1c01czxhAoHhAR6UjjLz8Df6hA6bTVlLavWu7dEekZ+eXeAZHFkLzL7w00Huqah0BEpLsMbF9F6ecvbOgWKiLzowyB9KbEycIr5hrX0TwEIiJdR8GAyMJTQCA9yR/I44+V6gvKjZMRZM5DoIBARERE+ogCAulZE284Z+bn6oly4wruPAQ5dwyBAgIRERHpHwoIpGd5A/n6AOFKQJDIEmRVGcpPDC3F7omIiIh0BAUE0rM8z8Mr1QcTB1OV+AqxmYrrAcHQ7vUUNo7ilXKsfMUZi72bIiIiIstKVYakp/mlHJXJsLtQdaqCP1SYeS1wBhXH5iHI+ax+7W6CShUvp5hZREREepuudqSnudWFguQ4gmrGGILaexUMiIiISB/QFY/0NLfLUHUyHhDE5iFQZSERERHpUwoIpKf5g/UuQtXj0/EXYxkCBQQiIiLSnxQQSE9zxwxUj8UDgqCSPoZAREREpJ8oIJCe1n6GQP8VREREpD/pKkh6mj/klB09pjEEIiIiIkkKCKSntZ0hUEAgIiIifUoBgfS0pmMIpusTlXkF/VcQERGR/qSrIOlpzTIEboDgriciIiLSTxQQSE/zB7LnIYgFBMMKCERERKQ/KSCQ3pavH+JumdEgCGIZA2UIREREpF8pIJCe5jkBAU5VoeB4GaKnXimHp7KjIiIi0qd0FSQ9zb3QD8r1DEEsOzCk7ICIiIj0LwUE0ttyTjnRakAQhGkBDSgWERERCSkgkJ7meV48KIiyBLGAQBkCERER6WMKCKTnebGBxQFTTxzmyC0PzyzLjZSWY7dEREREOkK+9Soi3c3L+QSEk5CV9x/n2b+5MzZLcW6FAgIRERHpX8oQSO9zMgTHvvdELBgA8McUEIiIiEj/UkAgPc+tNDT5/acbXs+NDSzl7oiIiIh0FAUE0vM8d1BxCnUZEhERkX6mgEB6XmxyshSqMiQiIiL9TAGB9L4mAcHoC04OS5OKiIiI9CkFBNLz3DEErqHzNzJ07sYl3hsRERGRzqKyo9LzvHxjBmDlK8+kdNL40u+MiIiISIdRhkB6XyJDMHzRZgUDIiIiIhEFBNLzkoOKcytUZlRERESkZsG6DBljrgLeCewGCsBtwO9aaz8/i23sAN4FXAasBh4APgT8sbW22uK9a4C7gU9aa9+csc6XgCubbOY0a+0D7e6vdIfkGIKcJiITERERmbEgAYEx5kbgr4ATwJeBHPAC4HPGmLdYa/+8jW3sBv4VGAP+Dfh2tI0PABcBr2vy3iHgH4GJFh9zDnAE+GTG64db7ad0n8YMgQICERERkZp5BwTGmI3AnwIHgcustXdFyy8Avgi83xjzT9bax5pswwP+mjAYeL219iPR8jXRNl5rjPm4tfbmlPduAf6BMGhotp8nAauAL1prM4ML6T3VyXLseW58cJn2RERERKTzLMQYgl8ASsD7asEAgLX228DvAgPAz7bYxtXA2cCeWjAQbWMv8HPR019y32CMyRtjfgG4nTAY+EGLz3hO9Hhbi/Wkx5SfORZ77vmad0BERESkZiECghdGj59Iea227Lq5bsNaewvwNHCZMWbUeeky4I8IsxxvBf57i89QQNCnCmuHZ37OjWtAsYiIiIhrXgFB1NXnDKAK3JOyyn3Ra7uidbPsih7vynjdEu7rGc6yo8D7gFOttX/Wxu7WAoJVxpjPG2P2GmMOG2O+Yoy5to33S5cavngL/lABr5Rj5cvPaP0GERERkT4y3zEEKwm7C+211k4lX7TWlo0x+4C1wChwKGM7G6LHJzJery1f52z724QDj9tVCwj+lDDw+FdgB3AFcIUx5u3W2ve32kg0gPrGNj/znFnsnyyS/MpB1rzlAvCyZy0WERER6VfzDQhqfTGONVnnePQ4QnZA0Go77jZmzRgzAWwGysAbrLX/13ntlcBHgfcYY75qrb29xea2Ac+fy37I8klWGhIRERGR0HwDgkr0GLSxbrMrsna3M6erOmvtvqhi0Upr7f2J1/7eGHMJ8HbCsQhvbbG5h4CvtvnR5wArZrWzIiIiIiJLaL4BwdHosVkdx9prR+axnXa20ZS1dh+wL+PlTxMGBOe1sZ2bgJva+UxjzB6UTRARERGRDjbffhSHCC/mJ4wxDcFFtGwCmLTWHmiyncejx/UZr7caYzBfT0aPQ4u0fRERERGRjjSvgMBaGwDfJ5yZeEfKKib6jH9vsaladaGGEjBRdaLTCbsV3T2X/TTGXGWM+bAx5u0Zq5wcPT46l+2LiIiIiHSrhRhp+fno8aUpr9WWfXYe27gUWAN83Vp7eJb7VjMIvA74j2mZDOAN0eMX5rh9EREREZGutBABwV8Bk8A7jDEzffCNMecDv0pYIeiDzvLtxpjTjTHuYNuvEmYarjbG/Iyz7hrnve+Zxz5+AfgRYYWg3zPG5JzPeCPwSsLuSP97Hp8hIiIiItJ15h0QWGsfAn4FGAO+EU369XngFsK5B37WWvu085YvEU5i9jJnG1XgpwkHDf+5MeabxpiPEU5IdjbwIWvtp+exj1PAa6Lt/zJgjTE3G2O+B/xltPwV1tqDc/0MEREREZFutCDF2a21HwRuAL4JXAZcAHwduNpa+5E2t3ErcBFwM3AacA3hXf23Aj+3APt4C3Au8NeEg4dvIJww7SbgbGvtN+b7GSIiIiIi3Wa+ZUdnWGs/A3ymjfW2NXntbuAn5vj5N9GiHGg0B8FPzWX7IiIiIiK9SNO3ioiIiIj0MQUEIiIiIiJ9TAGBiIiIiEgfU0AgIiIiItLHFBCIiIiIiPQxBQQiIiIiIn1swcqOSqpTAe655x5e//rXL/e+iIiIiEiPuueee2o/njrb9yogWFyrAA4fPsytt9663PsiIiIiIr1v1WzfoIBgcVWcnw8Ct8/ivc+PHr+6yO9Z6vfN9bPm8169L905wAo6+9icz3u74X36vWQ7h948Pvvhbz7X93bL9zuHuR2bc/nMbvkbLPXndct+zue9c3nfJUCR+PVnW7wgCGb7HmmTMWYPzh/UWnvFLN4bAFhrvcV8z1K/b66fNZ/36n2Z79tDeHx27LE5n/d2w/v0e2n6vj304PHZD3/zub63W77fXI/NuXxmt/wNlvrzumU/5/PeOe7nHuZ4bGpQsYiIiIhIH1NAICIiIiLSxxQQiIiIiIj0MQUEIiIiIiJ9TAGBiIiIiEgfU5WhRTSfKkMii20+1QhEFpuOT+lUOjalU6nKkIiIiIiIzIkCAhERERGRPqaAQERERESkj+WXewd63E3AgejnTyzbXoikuwnYAzy0rHshku4mdHxKZ7oJHZvSmW5ijsemBhWLiIiIiPQxdRkSEREREeljCghERERERPqYAgLpOMaYPcaYwBhz4xzff0X0/i8u8K6J6PiUjqbjUzqVjs3OpoBARERERKSPKSAQEREREeljCghERERERPqYAoJ5mG9/OGmPMeY3o9/zf0l57bLotT3LsGsdS8fm0tHxOXs6PpeOjs/Z0bG5dHRsdhYFBCIiIiIifUwBgYiIiIhIH1NAICIiIiLSx/LLvQO9xhgzBLwNeAVggGHgWeAW4Hestbc6614BfAV4D/BXwG8DlwMDwO3A71lrP7F0ey+9TMemdDIdn9KpdGxKP1CGYAEZYwaBfwV+D9gU/fzPQBV4GfA1Y8z5KW/dDXwLuAD4GnA3cAnwcWPMK5Zg16XH6diUTqbjUzqVjk3pFwoIFtYvAOcB/wicbK19ibX2xcDJ0bIi8JaU910F/AOwPXrP+cBvRa/9/4u/2x0raGOd3KLvRW/QsbnwdHwuHB2fC0/H58LQsbnwdGx2IAUEC+s48Fng16215dpCa+0J4Kbo6daU900Cv2StnXSW/XH0uGsR9nPZGWMuNMbcbIz5jZSXC9Hj4eixGj2mdXEbX+h961E6NmdBx+eS0/E5Czo+l5SOzVnQsdm9NIZgAVlr/xfwv9xlxphx4EzgumhRMeWtd1trDyeWPUUYRQ8v8G52igng5cBoymsbosfHo8cj0eP6lHUvXuD96kk6NmdNx+cS0vE5azo+l4iOzVnTsdmllCFYYMaYDcaY3zLG/JsxZh+wn7D/4M9Hq3gpbzuQXGCtDQij57T1e8E3gSngcmPMmbWFxpjrCVOxB4HbosX/Hj2+whizyVn3EsKBXtIGHZuzouNzien4nBUdn0tIx+as6NjsUsoQLIwAwBjzAuAzwBDwMPBV4B7Cg38a+HSz9/cTa+2zxpj3AL8O3GqM+QpQAq6IVvlVa+109POXge8BzwG+H627GrgM+Ajw+qXc9y6jY3MOdHwuGR2fc6Djc0no2JwDHZvdSwFBC8aYC4F3AHdYa9+deHmmP5wxxgP+grDReLO19n8ntnPDou9sl7HWvtMY8wjwVuDHCPtcfh14r7X2U856FWPMVcC7CFOR1wMPAm8HPkSfNho6NheXjs/50fG5uHR8zp2OzcWlY7M7KSBord3+cGuAU4Ank41G5JroUd20HNbaPwH+pI31ngV+MfqX5CXW3ZNc1qN0bC4yHZ/zouNzken4nDMdm4tMx2b30UHcWrv94Z4hrEawzhhzkbOeZ4x5I/Bz0aKBpdpx6Xk6NqWT6fiUTqVjUyRBGYIWZtMfzhjzAcI05NeMMXsIR9CfQ9jA3AOcTvpoepFZ07EpnUzHp3QqHZsijZQhaIO19p2E1QTuJ+wPdz5hf7iXWGv/3Fn1vxD2fbPAc4FrCevt/hfCiU3+HdhijNm9ZDsvPU3HpnQyHZ/SqXRsisR5QdCXA+FFRERERARlCERERERE+poCAhERERGRPqaAQERERESkjykgEBERERHpYwoIRERERET6mAICEREREZE+ponJHMaYHOHMgz8F7ARywA+AvwV+31o7mVj/fOC/ARcAI8D3gfdba/+mjc8ywO3Ab1trfytjnQcJp03PUrDWllt9lvSGDjw+PeBG4GeBM6P9uQP4Q2vt383+G0q36pRj0xjzm9F2W/mqtfaKNtaTLtcpx6azzmbgN4EXAmuBZ4E9wLuttXfP+guKLBBlCCJRo/FJ4I8IZx78JuF/0o3Au4E9xpghZ/2rgVuA6wgbjK8AZwEfNcb8dovPWgN8nCbTnRtjVhDOhPgU8NGMf9XZf1PpRh14fHrAXwN/GW13D3Ar4Un0b40xvziHryldqMOOzTvJbi8/ChyP1vvuLL+mdKEOOzYxxpwCfAd4E+Gx+BlgL/Aq4DvGmOfO5XuKLARlCOreDLyI8IRyvbX2MQBjzATwKeAS4L8Cv26MGQQ+Er3vamvtV6J1txM2Nu80xnzMWntb8kOMMWcCNwM7WuzPOYAHfNpa+zPz+2rSAzrt+LwReB1wF3CNtfaJ6P2XAV8E3muM+Ttr7dNz/sbSLTrm2LTWfgz4WNprxpg3A68F/g341dl/TelCHXNsRn4PWAe8D/j/rLXV6P3vBH4b+FPCAERkySlDUHdj9Pj2WqMBYK3dR5huBPgP0ePrCVN9H601GtG6DwLviJ7+krtxY8yQMeY3gG8RNho/bLE/z4keGxof6Us3Ro+dcnz+Z6AMvLIWDESf8XXgz4HHgPPb/XLS1W6MHjvl2GxgjDkNeD9wGHitulr2jRujx045Nq+JHn+zFgxEfofw2DzTGLOyje8lsuAUENTtA+4l7PaQdF/0uDF6fGH0+ImUdT8DVAhTjq5XAu8CDgEvJ+xu0YwCAnF1zPFpjDkH2A58zlp7T/J1a+0vWWu3WWs/m7UN6Skdc2w28YfAEPCfrbU/msP7pTt12rFZCwI2JZaPEnY1mgKOtNiGyKJQl6GItfaGJi9fED0+Gj3uih7vStnOIWPM48AWY8w6a+1T0UvPEA5Ueq+19ogxZneLXXoOYQNkjDHvAc4GAuDrwH+31qY1cNKjOuz4PDd6vNUY4wMvBq4EBoHvAR+21h5t+aWkJ3TYsdnAGHMtcD1wN/DB2bxXulsHHpufI8xI/I0x5q2EXZlOIcxeFYA/sNZOt/peIotBAUEL0eDJ/x49vTl63BA9PtH4jpnlWwj7Cj4FYK39NPDpNj+zRL0awoeBbxMObjqT8OLrWmPMa6y1/zirLyM9ZzmOT+DU6PEo8CXgisTrv2aMuS4teyD9Y5mOzTTvih7fba2tzGM70iOW8dj8RWArcCnhAOeaaeDtwAdmsS2RBaUuQ639D+Bywgbg96Nlw9Hj8dR31JePzPEzzyIM1g4DV1lrL7TWvsxaexrwy4R3Em4yxqyf4/aldyzH8bkievwN4AzCtPlKwioefw+cBHwmGqQn/Ws5js0YY8wlwEWE3UP+YSG2KT1huY7N/YTdig4SHpOfBO4hPKe/jXr2VWTJKSBowhjzbuDXgBOEgyf3Ri9VgMBaG7TYxJx+v9ba7xDerTjLWvulxGt/SNjHcZj6gCnpQ8t1fAKl6HEF8DJr7T9Yaw9Yay1hOvxWwjT46+a4felyy3hsJtXK3/5BYhCn9KllPjb/L2EloXdba4219qXW2jMI53I5FfhCVL5UZMkpIEhhjMkbY/6MsBzZJOFFz786qxwFPGNMVr3h2p3ROQ8OstY+2WTwWy1Fed5cty/dqwOOz2PR4x3W2lvcF6KT6Yeipy+Y4/alS3XAsenuywBwQ7Qfmiivzy33sWmMeSHwk8BnrbXvdV+z1n4IuAlYDbx1LtsXmS8FBAnGmBHCC+6fBQ4A11prP5dY7fHoMavLTqu+iPP1ZPQ41HQt6TkdcnzW7qg9lPF6LZCdmOP2pQt1yLHpuoqwe8dnrbWHFmB70qU65Ni8Inr8l4zXa1XZnpPxusiiUkDgiOr/7iEsP/YI8LzEHYSaWhWCM1K2MUZYxmyvU4lgtvvxKmPM3xhjXpOxysnR46MZr0sP6pTjE/j36HFjxuu1E6omJesTHXRsumolIlV8oY910LE5Hj1mzYFRW16c4/ZF5kUBQcQYUySM0M8jLE93qbW2ofxY5PPR40tTXruBsDrQfGqwrwVeTX3iFHc/Pep9s78wj8+QLtJhx+dXCPvfnm+MOTnl9Vo976/N4zOkS3TYsem6KHr8xgJtT7pMhx2b90aP12e8fnX0eMc8PkNkzhQQ1L0buJjwDsIV1tpmd99vJrz7eaMxZuY/tzHmFMIZBwPgvRnvbcffEk50cpkx5ped7XuElV0uJrxL+6l5fIZ0l445Pq21B4G/IGw/PmqMWeV8xqsIg9m9qN92v+iYY9PZXpGwWtsz1tqH5rs96VqddGz+DeH4g+uMMb/ovmCMeSXwFsKxDR9Kea/IotM8BIAxZjX1Kcn3Au8zxqSua619XTRJyc8QNiCfMcZ8lbBE6I9Rnw3zzrnuj7V2rzHmpwkrErzXGPMmwrsLZxFOj/4k8AprbVbqUXpIpx2fkV8DzgGeC/wg+owNhJP9TAI3WmsPzPMzpMN16LEJ4UywRerjraTPdNqxaa192hjzOsIbJR8wxrwN+D5hdaGzCecieKMCWFkuCghCz6deQeBcmtcCfh2AtfZTxpjnU79j7xHOOvhea+28611ba2+Oami/k7Be8g7CQU9/RDhT8d5m75ee0onH5xFjzJXAfwReD1xDePL8OPBb1trvzvczpCt03LEZqZVuPLBA25Pu03HHprX2k8aYC4B3EM7ufgPh3AQ3A//TWnvbfD9DZK68IGhVcldERERERHqVxhCIiIiIiPQxBQQiIiIiIn1MAYGIiIiISB9TQCAiIiIi0scUEIiIiIiI9DEFBCIiIiIifUwBgYiIiIhIH1NAICIiIiLSxxQQiIiIiIj0MQUEIiIiIiJ9TAGBiIiIiEgfU0AgIiIiItLHFBCIiIiIiPQxBQQiIiIiIn1MAYGIiIiISB9TQCAiIiIi0scUEIiIiIiI9LH/B/+JVrt7H8uOAAAAAElFTkSuQmCC\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 277,
+       "width": 386
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -427,7 +370,7 @@
     "trc_target.plot(ax=ax)\n",
     "trc_PTE.plot(ax=ax)\n",
     "ax.set_title('Total Risk Contribution')\n",
-    "ax.plot()"
+    "ax.plot();"
    ]
   },
   {
@@ -439,27 +382,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvgAAAIrCAYAAACaiO1iAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAABYlAAAWJQFJUiTwAADGYklEQVR4nOydd3gc5dW375mt6l2W5V7HvRdsTMeG0EtCGiQkARLS85JAypdGQkJ6gfS8LwRIJYQWejVgMO7dHhdZlmVbsnrfOvP9MVtmd2dXq1783Nfly7szz5SVVjO/Oc85vyPpuo5AIBAIBAKBQCAYHchDfQICgUAgEAgEAoGg/xACXyAQCAQCgUAgGEUIgS8QCAQCgUAgEIwihMAXCAQCgUAgEAhGEULgCwQCgUAgEAgEowgh8AUCgUAgEAgEglGEEPgCgUAgEAgEAsEoQgh8gUAgEAgEAoFgFCEEvkAgEAgEAoFAMIoQAl8gEAgEAoFAIBhFCIEvEAgEAoFAIBCMIoTAFwgEAoFAIBAIRhFC4AsEAoFAIBAIBKMI+1CfgEAgEAgSURTlO8C3e7HpFFVVK3txvFwgW1XVk704pnk/5wOvAQ2qqhanuU0lMCnFED9QD+wB/ldV1X9a7ON14Dzgc6qq3t+zs47s42bgAWCrqqrLerMPgUAgGA4IgS8QCATDkypgg8XyZYALOASctljv6emBFEX5IPBz4FagTwK/jyT7TDmAAqwF1iqKco6qqp8d1DMTCASCEYQQ+AKBQDAMUVX1/4D/i19uinb/QFXVB/vpcD8EyvppX30h6WcKzTD8HPgE8BlFUZ5UVfUl05CPAJlAzYCfpUAgEAxzhMAXCAQCwbBHVdVWRVFuB84GZgG3AC+Z1lcN1bkJBALBcEMU2QoEAoFgRKCqqh94JfR29lCei0AgEAxnRARfIBAIRhmKoiwB7gDOB0qAFuAd4Neqqr5sGnczRlFpmKcVRQH4WDhVRlEUG/DB0L8lQBFGnn8F8CTwc1VVWwb0A8Wihf6XzAuTFdkqijIV+BpwMTAO6ARU4N/Ab1RV7ezugKGfwb+A64Bq4DxVVSv6/EkEAoFggBARfIFAIBhFKIryaWAT8CEgA9iB4UJzJfCSoig/Ng2vxSjk9Ybe7wu9rw3tywH8F3gYuAzoAHZiiOSFwLeANxRFcQ7ohwoROs6Vobeb0xg/G9iCkc6TB+zGyNFfDvwYeCX0GVPtQ8KohbgOowD5AiHuBQLBcEcIfIFAIBglhCwq78e4tn8dKFVVdQVG5PqjGEL+K4qifAJAVdXnVFVdQ7Qw9S5VVdeoqvpc6P2ngEsxBP9CVVWnq6q6XFXVMuAGjGj6AuCaQfhsZcDfgcmAD/hFGpvdDRQAvwLGqKq6VFXVWcBSDNvNs4APdLOPX2MU8NYAF6qqerhXH0AgEAgGEZGiIxAIBKOHb2KkrvxeVdUfhheqqqoDDymKUoghjO9WFOVBVVWD3ezvQiAIfFtV1V3mFaqqPqooyieBi4A5/XT+X1cU5Za4ZXaMtKBpGJ+tHbhZVdXdaexvfuj/B0P5+wCoqrpdUZRvY3y+pLaiiqL8APgshnXnhaqqqml/EoFAIBhChMAXCASCUYCiKNnAuaG3v00y7I/AvUA5Rj59yjQXVVWvDaWw6BbHswFtobeZvTlnC2aE/lmxHngeeEBV1do093cEwz//d4qifBXYoKpqAEBV1d+S/OeEoih3YeTut2CI+/1pHlMgEAiGHCHwBQKBYHQwFeOa7gf2Wg1QVbVTUZQDGPnzM0kjj11VVb+iKAWKopyDYU85FUM0LwFyQ8P6K90zvrh3IfAjjALZcuCFHoh7MFJ0LsRIxXkdaFEU5VXgOeCpFPuag/EgBJBN/z3ACAQCwaAgcvAFAoFgdJAT+r9DVVUtxbj2uPFJURTFrSjKzzGcY57EENufxMhhfwej4HZAUFU1qKrqNuA9wKsYkf0XFUWZ2YN9vIvxIPJXjNmGPOBajJmME4qiPKIoSp7FphlAM/AyYAP+rCiKCIgJBIIRgxD4AoFAMDoIC/csRVFSXdvDgrY9xZgw/wt8CSNF54cYDjbTgXxVVS/FcN0ZUEIpNR/GKIotBv7VE9ceVVX3q6p6Y2jb84HvAdswhPuHgQctNmsD1mI4ETVhFBLf2esPIRAIBIOMEPgCgUAwOjiCURDrAOZZDVAUJQsjvQYgpRuMoijjMLzvAS5XVfXrqqr+V1XVI6YZgvF9P+3uUVW1Bvh86O1C4P91t42iKLKiKFMVRTkvtA+fqqrrVVX9lqqqS4FPhIZeE6pfMHNQVdUtqqrWAXeFln2zJ7MHAoFAMJQIgS8QCASjAFVV2zEKUQFuTzLsNowHgAZgq2m5VfOoSab32+N3FPKYXxV6O+DpK6qq/h2jyBbgzjTEdhnGQ8yriqKUW6x/2fTalmI/fwbeBtzAH0O++AKBQDCsEQJfIBAIRg/fwxDrn1QU5avhvHFFUSRFUW7CSLMB+JbZNpJous4k07LDRIX/10JFr4T2dz7wLFFh7+7XT5Gcz2F4+btI4YADoKrqSYzCWhn4q1nkK4qSQ/Rn8XaqTrwhi9FPAQGMTrm39uH8BQKBYFAQAl8gEAhGCaqqvg58gWjOfK2iKO8CJ4CHMITxL0MWkWbCHvc/UxRlq6IoN6uqehqjaRbAV4GTiqJsVhTlBPAaRnrOG6H1VhHyfifUZOpHobcXKYry4W42+QTGbMX5QKWiKPsURdmB0ZH2Q0AjxqxGd8fdTbSx1o8VRRnb87MXCASCwUMIfIFAIBhFqKp6P4Yt5D8wot2LMSLxjwEXqar6JYvN7sBwyfFi5OiH8/S/iNEBdxNGas8CDBvOvwIriYrj80JR8cHgh0BF6PXPFEXJTzZQVdWjwDLg98AxDIvPmRgPPL8A5qqqamkpasF3QvvIA37TmxMXCASCwULS9YT+JQKBQCAQCAQCgWCEIiL4AoFAIBAIBALBKEIIfIFAIBAIBAKBYBQhBL5AIBAIBAKBQDCKEAJfIBAIBAKBQCAYRQiBLxAIBAKBQCAQjCKEwBcIBAKBQCAQCEYRQuALBAKBQCAQCASjCCHwBQKBQCAQCASCUYQQ+AKBQCAQCAQCwShCCHyBQCAQCAQCgWAUYR/qExhJKIqyHZgCtAOHh/h0BAKBQCAQCASjl+lANnBUVdXFPdlQCPyeMQXIC/0bN8TnIhAIBAKBQCAY/Uzp6QZC4PeMdiAvJyeH2bNnD/W5CAQCgUAgEAhGKfv376etrQ0M/dkjhMDvGYeBcbNnz+bhhx8e6nMRCAQCgUAgEIxSbrrpJjZt2gS9SAsXRbYCgUAgEAgEAsEoQgh8gUAgEAgEAoFgFCEEvkAgEAgEAoFAMIoQAl8gEAgEAoFAIBhFCIEvEAgEAoFAIBCMIoTAFwgEAoFAIBAIRhFC4AsEAoFAIBAIBKMI4YM/gGiaRmNjI21tbXi9XnRdH+pTEgwjJEnC5XKRk5NDYWEhsiyetwUCgUAgEPQdIfAHCE3TOH78OJ2dnUN9KoJhiq7reDwePB4PHR0dTJgwQYh8gUAgEAgEfUYI/AGisbGRzs5O7HY7ZWVlZGVlCfEmiEHTNDo6OqipqaGzs5PGxkaKi4uH+rQEAoFAIBCMcITiHCDa2toAKCsrIycnR4h7QQKyLJOTk0NZWRkQ/c4IBAKBQCAQ9AWhOgcIr9cLQFZW1hCfiWC4E/6OhL8zAoFAIBAIBH1BCPwBIlxQKyL3gu6QJAlAFGELBAKBQCDoF4T6FAiGmLDAFwgEAoFAIOgPhMAXCASCEU6jt4Ogpg31aQgEAoFgmCBcdAQCgWAE8/zxvTxeuZOxmXl8c/F7sIm0QIFAIDjjEXcCgWCAEDn1gv5E03U2na5kd+OJyHdre/1xHq/cCcCpzhZePnEAbzAwlKcpEAgEgmGAiOALhoT77ruP+++/v0fbqKo6QGfTvwSDQf7xj39w7Ngxvv71rw/16QiGEbqu88apw9R727lk/ByyHa60t33tpMq/KrYBcMf8i5iYU8jv978ZM+Y/lTvYePoo31h8KXbZ1q/nLhAIBIKRgxD4giFBURSuvPLKmGXV1dVs376doqIiVq9ePURn1neeffZZ7r77bq699tqhPhXBMKOirZ6/HdkMQE1nK+Oz8pmQXQDApOwiitzJbXXD4h7gZ7tf4VNFk5jTXM++vCIwFWqf7Gxhf3MN8wvHDdCnEAgEAsFwRwh8wZCwbt061q1bF7PsP//5D9u3b2fatGn89Kc/HaIz6zuaKHYUJOGVEyrzmusp8nbxTjDIrsYTkXXZdhf3rrwGh0XkvaazNeb9jNYm5m5+lQUYqTq/VBZzMLcwsv5Iaz3ZDheb646xomQyk3OKBugTCQQCgWA4InLwBQKBYJAo72zj04d28v6qg1xUWxWzrj3g5XSXdTfjw62nI6+ntjXzJXUbNqI1Hrcc2RMzfmdDNb/c/RqvnFD5yc6XONhc24+fQiAQCATDHSHwBSOC5uZmfvnLX3LNNdewZMkS5s2bx7nnnstXvvIVKioqYsbed999KIrC888/z9e+9jUWLVrEypUr+d3vfhcZc/DgQb7whS+wZs0aFi5cyAc/+EHeeustfvvb36IoCu+++27MPj0eD7///e+58sorWbBgAcuXL+eWW25h06ZNMeNuuukm7rzzTgAef/xxFEXhvvvuG6CfiqC/0HWdoD7wMy+L1K2R11eeqEhYn6xA9khrPQAZAT+fPrQzYX12wI87EN32ZGcLnqAfgICu8bPdr7Cv6VSfzl0gEAgEIwch8AXDnvr6eq6//np+97vf0dnZyerVq1m5ciVer5ennnqKG264gVOnEsXLL37xC5577jlWr15NcXEx06dPB2DLli28//3v5/nnn6e0tJTzzjuP6upqbr31Vl599dWE/bS2tvKhD32IX/ziFzQ2NrJ69Wpmz57NO++8w0c+8hH+8Y9/RMauXr2axYsXAzBhwgSuvPJKFEUZoJ/MmYtfC3KktY5WnwcAtbmWjbVHe+UF79eC3LvjBb688bGBF8HdOCuFRXk8lW0NAMxubSQzyUPA2fUnLJeHeeTQppTrBQKBQDB6EDn4gmHPb37zG6qrq7n55pv56le/Gun82t7ezq233sq2bdt44oknuP3222O2O378OP/+97+ZM2cOYOTG+3w+vva1r9HZ2cn3vvc9brjhBgC8Xi9f+cpXeOGFFxKO/73vfY+9e/dy9dVXc/fdd+N2uwHYt28fH//4x/n+97/P0qVLmTFjBrfffjvl5eVs376dZcuWce+99w7kj+aMxK8F+c7WZ6j3tCNLEgXOTBq8HQC0+Lq4ZMKcHu3vndoKKtsbAfjj/rf45er39fs5h9FI/QBiFcHXdC2SurOkMXmqzfXHD7OpqIw2kzNPjsNNm994CGrwdtDq85DrdPfm1AUCgUAwgug3ga8oysXA14GFgAPYCvxIVdXne7CPmcB3gTVAEXAY+BPwG1VVNdO4B4GPprHLv6iqenO6xx9sXqrez9NVu0eUb7XLZufKifNZO372oB2zoKCAc845h8997nMRcQ+QnZ3NFVdcwbZt2ywj+EuXLo2IewBZllm/fj1VVVVcdNFFEXEP4HK5+MEPfsA777xDa2u0oLG2tpZnnnmG0tLSGHEPMGfOHD73uc9x99138/DDD3P33Xf390cXWHC0tZ56TztgeMOHxT3A89X7eizwj7TWRV53Bf3c8c5jTM8r4ZOz1yBL/TvJGexFBL/J20VA11jWUMOSpjqLraKM72xnf15U4P9oyWX8dNtzVPi7AKjuaGKOc2wvzlwgEAgEI4l+EfiKotwMPAB4gVcBG3AB8JyiKJ9UVfWPaexjIfAGkAtsADaH9vFrYCVwo2n42ynO3Q68DyP9aFuSMcOCl0ZgUxpvMMBLJw4MqsD//Oc/n7CssbERVVXZsmULAH5/ojCaNWtWwrK3334bgLVr1yasy87O5pxzzuGZZ56JLNu8eTPBYJBFixbFiPswa9asAUjIxRcMHM2+rqTrnL3wft8fV4DaHvCyo6GaA821zCnoXzGsdZPn77G4HtR52pja1szHK/bGriibCjWxefxLnFnsD72+JK8M/nwXX/a0s62ghL9PmsXxjqZ+/0wCgUAgGH70WeArilIO/B5oAdaoqrontHw58DLwK0VRnlFVNWmCqKIoEvAQhri/SVXVR0LLS0L7+LCiKI+rqvoYQOiBwfKhQVGU72OI+3+qqvrrvn6+gWTtuFkjMoK/dlyicB5oqqqqeOSRR9i2bRtHjx6lvd2I4IYj+lZdY/Py8hKWhSP9Y8dai5xx42K9w8PjX3zxxZS59DU1NWl8CkF/0OLr4sKaKma0NfHW1PnstUWj7GFP+XTZUHOEliQPDC+dOND/Al9LHcG3uhb4j+zgywe2JiyX134UutrQ3v0vHD8AwIqTR3h7+gL0rDwub2mE0EzHkqY6XJrG7h7ObggEAoFgZNIfEfzPAi7gh2FxD6Cq6mZFUX4E3APcBnw7xT7WAguA18PiPrSPOkVRbseI6H8eeCzViSiKcg7wNaA6dMxhzdrxswc1Ej5Sefrpp7nrrrsIBoNMnjyZc889l2nTpjF//nxqamr41re+ZbmdLCemV4Qj/VYPBFbLw572M2fOTCnwzalDgoEl2HiK9x4/BMDM/VvYf+3n+PMhw/Uo0IMi26Cm8XTV7qTr9zWdYlt9FUuKJ/bpfDv8Pp6o3IFPC7AslA8f5m6cPNh2moqcfMA6Rcd56mjiTt1ZUDAGqWQ8UksdekjgOxpr+Mo+L/LN30P72z0xm8xtaWBDR0ufPotAIBAIRgb9IfAvDf3/hMW6JzAE/ntILfCT7kNV1bcVRTkNrFEUJUdVVUujaEVRbMBvMKL3n1ZVtdVqnGBk0dHRwbe//W1kWeZ3v/sd5513Xsz6hx9+uEf7KysrA+DkyZOW6+Nz+UtKSgBYsGAB99xzj9UmgkHG1hj9HWV0tbHkbz+gbN5Z1GRk9cjqsrK9gSZvZ+T9F+ZdwNu1FWyuOxZZtqfxVJ8F/ssn9vNGzWEA1gSDMeuKNz/Hl2x2/t+8s2hxuqxn8wK+mLfSnNVIc9cg2R3G+5xCYh5L25vQd78JjYmzShmN1t97gUAgEIwu+lRBFkqtmQNoEEn9NHMwtG5uaGwy5ob+35NkvYpxrqnml28B5gMvqqr6dKrzFowcjhw5QkdHB3Pnzk0Q9wAbNmwA0u8eu3LlSgBef/31hHVerzeSox9m2bJlAGzcuBGv15uwzfr167n00kv5zne+E1kmovkDi629KWHZpw7txBEM9iiC32gS94uKxjOnYCw3zlgRM6bVnzzfP12ePR7NnXdriQLeFgxwTfVhbJqG1yKCL5mWHVq2FvnSTyBNMM0mFYxJ2EZf/08gcZYqv+l0wjKBQCAQjD76ahFRgJGe06Cqqi9+paqqAaAeyARyUuwnnOiazIQ6vDzxTgYoimIH/l/orXW+RhIURblZUZTX0/kHLOrJvgV9JxxxP3jwIMePH48sDwaD/O53v+O1114DsBTfVqxbt46ysjJefPFFnnjiicjyQCDAd7/7XRobDbvEsEifOHEiF1xwAdXV1Xz729+mqysq+Kqrq/nud7/L0aNHmTJlSmS5y2W4mLS1WXclFfQNV0fi5Fypt4tfbXsdp0m0d4c59z7PmQGA2+bgsglzI8t78sCQClnTkHSdjIB1vc3Khhq+um8znoCFD75pmWR3JayW8kqQll2asNyKnK52fCOo5kcgEAgEvaOvKTpZof9T3VXDd9FsIFnaTHf7Me/DivcB44FXVFV9N8mYZEwGEkPDgmFBaWkpl112Gc8++yxXXnklK1aswG63s2vXLurq6pg+fTqHDx+mvr4+rf253W7uvfdebr31Vu666y4eeeQRxo0bx+7du6mtraW8vJyTJ09it0f/NL7//e9z00038fjjj7N+/Xrmz59PMBhk06ZN+Hw+1q5dy403Rk2eJk2aBMCrr77Kpz71KS644ALe//739+8P5gwmoyv5g9PyYwcMz61u8AT97GqI1v3nhwQ+wMKi8ZGoe7s/vQfHVEzxeLh937tokkSulYAPMa6rnczWhoTlsmkb2eG03FY+933oS9eh/eF/EldmZEOXUWybGfBT29XW42JkgUAgEIws+hrBDyeUpraG6P5Y6e4n2T4+F/r/R2mcRzyVwPo0/4kKtSHgBz/4AZ/97GcpKyvjnXfeYePGjZSVlfGtb32Lxx9/nLy8PHbs2BGJvnfHqlWr+Mc//sEFF1zAsWPHeO211ygrK+OBBx5g7lwjepuTE51wKi4u5tFHH+Wzn/0sRUVFbNy4kT179jB79my+//3v88tf/hKbLWrPOGvWLO644w6KiorYsGED27YNa7fWEYUn4KekM+p7L11/R8z6nDQi+AEtyPe2PcfJ+irWnjrG+I42CiUZvcV4SMw2NYrqCPRd4H/g6F6yg4GU4j6M7vMkLJNNEXfZkRjBDyNlJbpGAUgToq5XmcEAb4bqAQQCgUAweulrBD98p81IMSa8rr0P+0m6D0VRxgOrgBPAKymOYYmqqg8CD6YzNpSmI6L9A8R1113Hddddl7A8IyODz33uc3zuc5+z2CrRgz7V2Pr6elpaWpg+fTq///3vE9Z///vfR5blBLvM7OzslPuN57bbbuO224a9kdOIo+PYXso9xuUiKEk4SifSsfoaMt9+AgBZC6bY2qC6o5mGrjbuOriTiZ1tXAuwbxMaIK27mexZZ0XG9kcEf0J7c9pjNYsHFFuaAh9AOvs69A3/iS4oGIM0dw36QaNfRFbAz6EWkYcvEAgEo52+CvxWDHFerCiKPZRzHyGUG18MeFRVbU6xn5MY+e1lwAGL9aly9K8J/f9Pc7dbgcCKffv2ceutt7Js2TIeeOABnM5oysOjjz6Kqqqcc845ZGZmDuFZCpIRrNoXeX2wdALzMrJjikzlNHLmG70dLGiuZ2JnYqqP/s5TuOauwSbJBHUNnxbEFwxgl23IvSie1tN44DDj71bgJzZbMyMtuRjQwZ2NNG8NSBI0RRt5ZQYD+CwKfQUCgUAwuuiTwFdVVVcUZS+wApgJ7IsbomCk1SQ3mzbYA1yG4ZLzeswODPedWRhpPPH7B8OCE+DfPTl3wZnJqlWrmDt3Llu2bOG8885j4cKFOBwOjhw5wpEjRygpKeHb307l6CoYSvyeaHpOa34pALLNEVnWXQS/3e/hD/vf4rb6JPX8bY2gBcl2uCJFuD/c8QItvi5unrmKBUXjrLdLRnNd4jK7E/naL6D9+6cQ13dB9nvxBPy47dHPZBb4dmc3At/hQlp5Rcwy3Z0VeZ0Z8OML9uyhQyAQCAQjj77m4AM8H/r/Got14WXP9mEfq4ES4K0kHvgrAB+Q2OpRIIjD4XDw0EMP8eUvf5mysjK2bdvGG2+8QTAY5OMf/zhPPfUUEyZMGOrTFCQh6I063zhcRuaezSyGu4ngv1VTgSsYYG5LYjFrGO3Bb1Jucrs52dlCR8DHb/atT9r1Num+Oi18BYrGIk2YhfzB/4f83i8jLTg/ssoVDNDsi43i20wRd1s3EXxLXNHZqJyAn4Bw0REIBIJRT38I/AcAD3CXoihLwwsVRVkG3InhgPNb0/JpiqLMUhTFXBG2HtgLrFUU5VbT2BLTtj+LP7CiKJMxUoB2W9l0CgRWZGdnc+utt/L444+zadMmdu7cyQsvvMBdd91FYWHhUJ+eIAW6qROsLeR8I9vNEfzUAv9gbQW/2LYeh7khVnxee8tprjq803L7X+x+NWkXZCt83o6EZdJ8o4xHKpuMNHE2mKLybi1Ikzf2IcJhirg7nKlz8K2QTD8fgGsrkrUbGT3omobeWt+j35VAIBCMJvos8FVVrQTuAHKBdxRFeV5RlOeBtzG8729TVdVc1fUKRlOsa0370ICPYxTR/lFRlI2KovwHo8HVAuBPSZpXhc3HE1s2CgSCUYfZMlIKiV2bPVpHYdO1lKJuUX3spaJl7mrkz9yPfOO3IK8ksnxSwynGW+Ton+psoTMNN5wwPk80Gn84rxj5tp8iL4ir0zcL/GAwIYJvN6Ud2Z2p/AzS4+y6E2g96Pg70tB1He3Rn6D9+a5Qwy+BQCA48+iPCD6qqv4WuBLYCKwBlgNvAWtVVX0kzX1swnCwfgyYAawDjgGfAm5Psln4jtzc23MXCAQjBylgmqgLNX0y5+DbdA0thdtubnOsg0zelAVIsoxUOgn54z+EsqmRdVParV1xrbrNJsNvisZ3uTKQrPznTQLfFQwkpAHFRvB7KfBNefjQfw28hiXtTXDiIAD6tpcsrUcFAoFgtNNXF50Iqqr+F/hvGuMmp1i3D3hvD475L+Bf6Y4XCAQjG7u56VNYGNuilzG7rhPUNGw269iFR48tMJUnRbvWSpKENHMpek0FABM6rBtqdfVA4AdMYl2zWzepMqcIubUgNSZrTl3XYtKJepOiAyCddSX66/8AoN1mx6YFcdr67fI/vIibYdG3PI+0+pqhOReBQCAYIvolgi8QCASDQWyKjoXA1zQCSdJPdF3H7o1GcwPnvBfJFWuHKpVOiry2stEEowtuugRMtpd6ki608RH8NpPA10yvfZKMXe6dKJfmnB15bUPH30P7zhFFvMB/97/oHaJHoUAgOLMQAl8gEIwY7EGrCH60i7BN1wgkEa+eYAC3KcXHUTw+cVDpJMM7HkPgF3oTXXO6TAJy0+lKHjq4kZpOawGpmYqCE4p5Q0gOs8AP0m7axt8YtfP022xIvfDiB8BUaOvQtNHthR//AKbrUHM09HIUpyYJBAKBCSHwBQLBiMGcohOxjIxL0UkWwW/3e8kyzwBkZCeMkdyZYErbWdKY2PU1HMFv9Hbwv+rbbKit4OFDmxLGAWi+7gW+OYKfEQxGuufqtZU4/nZPZJ1ftiVsmjY2e6Qywa7rBAKjWeAnfjbtyfvQXngA7b7PoK0XWZ0CgWD0IwS+QCAYMdjNTZ/C6TWmtBWbphFMUkDaGfDFCHzciQIfQJq6MPL6LLubuxau4+wx0eLbsMDfa4quH261aGgF6KYUGymZwM/MibzM9XsjKTrxQtTXh5x5SZJiHhBeOraLd08f7fX+hjVJXI70vW9BwIe+9QWCv7gV7Zk/oHe1D/LJCQQCweAgBL5AIBgR6Loe4ygjhwtO04zgdwS8cQI/y3KclFsUeV2ua0zNLcZtcuoJp+hocXaclqlBpgi+nKwLbU70eAU+L53+LuPBoFqNGVadVxS/ZY8ImgT+rtOV/J/6Djsbqvu0z2FJOjUSuoaubkJ7/n+FV75AIBiVCIEvEAhGBsEAcijRxC9JOEM2mchxOfhB6xz8Lm8X7pAI15DAlUxwm5qdtTUB4DblsIcj+PF2ls0WXW7Ntp62JBaXksMJmUbfPxs6mV0d+Btj/fo14MjUBdbnmyZBU62CMzTL8bfDm/u0z2FJD/oUcHQXHN4+cOciEAgEQ4QQ+AKBYGRgKj71yjYcsnH5kmQZLVR8KgMBzY+u6zx86F2+teW/7G8yxLLXVAjrc7qQpCSXP7NXfVsjuq5TXneCTx7aycKmuohNZmNcQ6pmb+x7iBX4dlcKD/u84sjLIm8Xh6r2xqz+87T5uMZMTr59GgRNMx1h681mX1fSlKaRim6Rg58KbdOzA3QmAoFAMHSMUiNkwUjg3Xff5SMf+YjlOofDQXZ2NjNmzOCKK67gve99LzabjZtuuolNm6wLGq1YsWIFDz/8MACKoqS93Q9/+EOuu+66tMcLBgGfyTLSZsNhyr0PSjJyyONe8/s51FrHWzVHAPjlnlf5wzkfwm+yvfQnS5cBI3XH7oSAD/xeaG9i8Rv/BmBhcz1/n7mMoK4l5LA3xQl8bzCA7DcJ/BRNqqS8YvRTxvkWeT0cOb6PWaF160vHsaOwlA8lSSlKF3OKjsOUTtQZ8JGT6ucx0jBH8EsmQN3xmNXSkrVIc89Ge/g7xoL2psE7tyGiydtJhs0RMxMlEAhGN0LgC4aczMxMLrroophlgUCAxsZGtm7dyqZNm9iwYQO//vWvWb16NWPGjIkZu2PHDo4fP87MmTMTRPy0adMSjnfxxReTkZG6I+jEiRN7+WkEA0ZbY/Sl3UmxSbBqsgwh0RoM+jllkS6jdUUFfjBFNF2SJCNNJxT51/70lZj1QU8nL1bvT8jBb/B2RF5vrD3KQ4fe5SumHHxHKoFuSgvK83vJNhXn1oWKiWfkliRs1hM0W6xVZhhPMECO1QYjFVMOvpZdgGwW+LnFyOd/INYXfzT3BMD4Lj548B3ynBl8ZeFaipMUlwsEgtGFEPiCIaegoICf/vSnluv279/PjTfeyAsvvMBLL73E7bffnjDmq1/9KsePH2fdunV87nOf6/Z4X/va1xg/3sIDXTCs0ZtqI69r3ZmMNQl8IzptCLtObycud2wDK13X0U0CX4trcJWASeDHE/B18XL1gYTlpzpbI68fOPgOAJmmaLIzlcA3Oenk+H2M7Yo+LDS4Mrh28kLKs/JTn3M3+ORoSlKswO9BzvoIQDelRalBH7PNK0tDD+5my9FRLvC31lehY6Rj/XTXy9y74pqhPiWBQDAIiBx8wbBm9uzZ3HDDDQC8+OKLQ3w2giHFJLjr3Jk4TSJNMuWX/+Pgu7SZ/ecxHHR0T1Q0J3PQiewvpyDpuqa2RtoD3oTlJ0M5/r5QDrik6+SZIvHu3OKEbSJk5EZeFvi8zGxrjry/bPnlXDphrsVGPaOL6IyDOUXHO8oEfrPpQasqbiZHChcq284cgX+0rT7yusnbSVA0+xIIzgiEwBcMe8LR9sbGxm5GCkYruq6jH4sWnta5s7CZItJ2uzPy2qZrPHd8X8z2zb4uJE80R96qyVUM2YVJVwVNufZjTcK8prMFTdepCuV0Zwd8OEJpPB02O1mZuSRDMkXwFzVHPfVrXRmMKZmU+lzTJD/k1ANRFx0wUnRGE+YiW78sw4ylxpu8UiRlpfHaVL8x2gV+aUbs9y6+VkQgEIxORIqOYNhz+PBhAMaOHTvEZyIYMo7ujimWrM3Ki1ntcEQFvl3X6YiLsLf4upBNwsaekVxsA5Aigu8yCcJxWfm0B4zmVD4tSIOngxdP7Acg31QU3Ox0MyFVJ9ok4n9/XhEX9VNhZIEpxeeWij18tuACkKRRl6JjLrINyDLSpbcgzVkNZVMMS1IA08MhSWxVRwvFzXXcsO9d2h1Onhg/jbqudpGHLxCcAYgIvmBYs2nTJh599FEALr/88iE+G8FQoVdFI/J78opoyI4V+DHdbC1SELbXV4Mn2rXUFfeAEI+UnULgmwRhviuTsabIeGV7A7tCzaMKTQK/3Z1hFO8mI9O6zHXztIWWy3uDzfSgIOt6JM9/9EXwowLfL8kEbTakaYuQzL/zGItUHX0Up60sq1KZ0NXO7NZGvnhgG3Ue0b1XIDgTEBH8IUTb8gL6O08aVnwjBYcLadXVyMsu6bddNjU18eUvfzlmmc/no7KyElU1unneeOONrFq1ql+OF+/YE8+sWbN48skn++VYgv5Br62MvH6zZByO+Gi4uZutha/7mzWHuSUQFbLObgQ+BWOSrjJH8POdGQQy8zjYchqAyraGSKb75ScqIuM6u4uYZiQK/KrMHK5Qzkq9XQ/Q45pnfXPvuzwyeRaeqcM7gt/h92GXZVy22NtVUNN4s+YwNknm7LKpyCHRbi6yDcgyvmAw4fsiSZJRaBv+XQaDYB+d8a4M0/0lQwuy5/g+lhZPIMvhiizfWldFg7eD88fOwOH3wukqGDcjprZFIBCMLMRf7xCib31hZIl7AL/XOO9+FPidnZ08/fTTMcucTieFhYVccMEFXHfddaxbt67fjtedTea4ceP67ViCvqNrmiE4QlRl5VAYb3NpFvihvHebprGo6TRddgf7cgvJMqVuyN0V2RaMQVp+GfrmxCZIblPEO9+ZgdM0e1DVbtSJlHe2M74rGiltyUme0w9YCiktI5t5heUpt+sRFtah76s6yOtLYguSj7bW83jlTuo97awdP4vzx85MPfswgKjNtfxy96u47Xa+ufgyCk2/t42nj/L3I1sAyHK4WFI8AQDd9Hv2yzI+LUAWThIwC3wtCIxOj3hZi5uhqTnK/2x8jDkFY/n83POpbGvgjwfeAqDV0861r/8bWuuR5p2DtO7mwT9hgUDQLwiBP4RISy8ZmRH8pf0n7sEQ1K+++mq/7jMVwiZz5KC31KP94weRv5Fmh5MWh4srxkyNHWiK0No1DZum8UV1G9PaDWebn81aGmNZSXdFtoB8zvXoKy5D37Ue/c1HI8vdphSdPGcGuaYGVidC/uqzWxsiy5ocLo5O7t4FR7roRvRXHom8H9tHW8yE/a+4DP35/41Z5tI0gmZ3IeBvR7ZEHlT+cWQrYzJymVMwNPUvf9j/Jho6nQE/L504wPunLY2s++eBDbyv+ghBSebfdqelwA9IhsC3xGaD8KpRXGhrD8bOaH3y8C42FpWxK/80VZMWsrn+GKVdHVx//BCZ+7dA6G9G3/Mm+tqPDtnDnUAg6BtC4A8h8rJL+jUSLhCMJnRdQ3viV2BqSrQrvwQkKSLmIpiKbOe0NuC12SLiHmBqewtZ5mLSNLvCSq4MpOWXogX96G8/AcSm6GQ7XDHpH+HiXqU12h312XFTyEjRWCuMvPACgiaB75JSFOX2AmmW4SCjb/wvNEd7CmieWFeVsLiPvm+KCHxd1wdN8AW0IB2mdBuz3ePbtRVcWHucC04b9Q4X11ahT1uOVDopNgc/lKJjyRnihW+3+GxnNdSwtLGWt+dW4NWD3FS5P+bvJYzeUo+U37cGawKBoOfowQC01KPHNVTsCaMz6VAgEIxodE1De/J+aDgZs3xz0RgKXZlkO9wxy6VpiyKvV9edJMfvi1mf5/fGFL3SUxcRZ/R4LlOKTpbDRb5F06wyU1S8IjuPPGf3Aj8eyd1NM66e7k+2Ic9Zje3jP6AzvzSyXPPGecUTK+CbvJ3ous5fD23ijo2PsaHmSL+eVzI21FZwdt0JbqrYx5LGWgImof6Xgxu50lTjAKA992d0Xaf0xOHIMn+qCL5Z4I9iJx0rgQ/g0HW2HHyXt2qOWIp7gLZTg/O7FggEUXRdQ3vkbrQHvwGt9d1vkAQh8AUCwbBC1zX09f+Aip0xy/8yZQ5HcgqYaOFRL807NxKVzwoGmBonWC6sjVps6pIcI9jTwvRA4TYJpiy7E4dsI8seLVi0aRqFXiOvXQPqXBksLZmY1mGkCz4UfoW06qqenWMP0E0FlpiaghnRotiIUbOvkyOtdbxRc5iOgI+/Ht48YOdlZtfhrXy48gCrGk5xy5E9FNRUEEgVaW84CaZeCQB+2TYqIviaptHRXId+ZAd6e1P3G4TQdT1W4MfVehT4vMgpHITaBulhTiAQmDh5BBpOGK9N6Z49RaToCASCYYOuaWgPfQsaT8Us33j21bzrM4pWzbaUYSRZhvLpkYeCOS3JL4qSLPc8zSQmgm8IJpfNjj0kEgtcGZH0nCKfJxI5aXG4WF2uWJ6z5bktPB8prxiy85EKBy7vXTd9HslUAxTUNeInhJt9XexsPBEzpqazlbIUjbv6iqbrZDfEfgcW1tewvf44C4uS18/opmJsgMqs3PQi+MNc4B/963eZXFeNBpCRjXzLj5HMD2kWtPs9PFqxnfeaXKXkj9yN76n7sYdmxj5esZfLTx5Nug9Pq2guKBAMOhZOcL1BCHzBGccPf/jDlC46ANOmTeP2228fpDMSRKg/niDupUs+xkG7DU4bAr/IZZ0/L5VPQw8J/AldKby+e+H7LjlcEeEbTtHJMnXPzXdmUt3RDMAYU3pOVsl4Pjh9WfrHkW0wtf+875NinsEwCXx/6MZi1zQCoWZQzd5ODrfUxWz+wx3P86OV1+K2DYzzTLvfS3Hc73BJUy3/OaEyJbc4+YZNUSvQp8un4LfZ8CUT7yNE4NfXn2ByXXV0QVc7+qkKpImzU273zyPbqKzaS6b5+55dgGPuGvQ3/hVZNMaTvLOtJDzzBYLBp5+aDwqBLzjjePnll7sds2LFCiHwh4L4fPB1H0Oeu4bGXdHfWVGSAllp7LSE6HO/4YxN0Snwelje3obu6URyZ8bk2K+ui9YNuIrGR/zZhxOS6fPYYgR+kHWnKrmq+gi784v54/QFNPu6aI6z2PQEAxxormVRimh6X2jydlIWJzxdmsbsQ9tpnroEKUnhmV5TGXldk2F8T3zJHuhGiMD3+joSlp1uOkVZSODrTbXgzkKKc4YKqO/ynSN7Yje026Eby1YzNk/isQUCwQDTT86KQuALhoyVK1dGGln1hXvvvZd7772323H9cSzBABN3YZPmnk273xtpJAVQaFHUCkDZFJAk6IPrQFJMgjgr4OeOA1so9HnR9m+CSfMYN8UQW45gkPnN0aIoae7Z/X8u/YBseiAxC/yAFuTCmipkYGFzPSvrT7GxxNqLXxvA7q9NnnYmdyQWfua3N9Ps6+K9VQetN2yIphI1hX5nSSP4tpEh8Lu8iTd7T4vxHdN2v4H+0l+MhZPnI81agTxnNX4tyC1x4t4vybglGXIK034QdngTeycIBIPBvqZTNHk7WVE6ObGx4ShH93m6H5QGQuALBIJhg/nCJs1cTouvi29t/W/MmMJkKToOF5ROhNpjKY8hKSt6fmKmfOf4yDLH9rCovZF/TZ2NWwtE8u+9DieZ5dN6fqxBQDbZdtpMvvE+LUiJ6f05dSeSCvyuwMB0wNW1IMUbHo91PQrh9Htp8nVG7DFT0ew0fmcj3UXH60+82ZftWo/m6UQ3FxVX7kav3I0+dhon7Q7i51YC4QeasikwbgacONTtsd39JDQEgp5wvL2JX+15DYAWn4fLJnbfR2RU0U8R/OE3dywQCM5czBc2h4tdjSfxmlIsyjJycVp0fQ0jn31djBhPYMp8pDXX9/y8unHdyW84iaTrOEzFUQG7RffUYYJsmgWxmbzm/XGR7HJPZ9IZkbYBaNCn6zr6C//H2IpdkWWVE2dFXrv9PqrjrFOt0IDWUG+Eke6i47UQ2Q6fB33Pm9BmUQRbf4LTnYmzH+GaCkmWkW+4E/kjd0NW6uLvzICPYD8V/AkE6fJmTdTq9sljO1OMHKW0N/fLboTAFwgEw4c4gX+6qzVm9c3KWSk3lybPQ77qs0nX2679ouFS01PSsNUs9HpwmoRiMMWDyFBjNwl8Z8AfaaYSCMT2D3AFA+QnEfLtFpHlPnP8APr+jZG3WwtKaV1xWeR9RtBPa22s68sz5VMSdtPgykAL1T4cb0/iBDNSBH4Pf856RzPe04mzWEE5+n2UJBmpeByUxXaE/suUOfxk9jL8oZ+dU9NotXhYEAgGkoy44v2nju1KMnJ0oXe1ob38MPqmZyLL/DkFvd6fEPgCgWD4YBaTThenu9oib2+ZdTZTctIQ5xNnG5aZ8RSU9f687E4jvz8FYz0dOE3RTm2AHGb6A3ME3xkM8HZtBb/b9waHTXaYYcI1BefWHucLB7YxM2Sd2DYAAl83pVcdzMnn/6bNo7RwLOGfakYwyKrqaHSPaYt4e+o8dubHfi9Om5qE7Ww8wbNVe9DiZyJGiMD39fDn3NpYw/QtLyYsD1rkMUsTlJj3taUTqC8YQ7s9+t31JHtAEggGCFucMcEzVXuobGtI/BseZegbnkDf9XrMsmaLVMV0EQJfIBAMH8wXM4ebWpPAH5ORk9YuJElCvuozSOfdgHz9/xiuIZKEtPLyXp+WJEkxza4imLzqy7vacZiEomYfvhF8s4e6OxjkoUPvsqOhmhePJk6HX3/8EIsaT/OBqoMobU3cfsgY0zoAKTpme7gj2fkgyZRm5hEwidMlTdGCa6lsKnkOdyTfPkxtXBfgJ4/tYnv98ZhlI0Xge+O6MndHW3MNuRapOwGbhcCfuwbC9RhZedy16np+tPIaAqYaDW9HW8J2AsFA0mVhE/nDHS/w0MGNFqNHD3p9Ym2R1sOWLWaG7x1IIBCceZiilTV+DzUmwV/qTk/gA0iZuUhLLwFA/tgPwNOBlJ3ft3NzuiHOLlJSVqC/8yQAk9tbOZ4ZPUdtGOfgYxLE5rQih0W+tVPTuO3I7sh7l6bhDgZo9ib3T+81phu7X5YpdmfhkG3ISQS4NGkueQ3HaI57+DrtzuS8sTNYfypaSFrZ3hDbUXiEuOgE0niQqne6KQ7l6gdb63FZFEBrFiljkisD+dovou/dgDRntdGHAfCZHgADcWlyAsFA0xX0M76jjXy/l315hVxz/Ajn1FVzMmMzR3JLmDbWYoZ2NGBxTdV62pTRhIjgCwRDjD7Kpx17hEnMvHQ6mms9IasAt713KS+S3dF3cQ+JxbsOF9L0xZG3kztaYsSyPoxTdLBbC3xnmkL3m7s3UtfehKe/nXRM+wtIMkr+mKRDPXYHjJlIkTs7IYJfkZ3HjNwSPjAt2mTsxer9/GD78/z5wAb2NJ4kxltnGAv87nLwd+cV8ciUaNOrCY21luOS1YRI5dOR134UadyMyLKAqeYkmKppnEAwALia6/n6vk18+tBOrj1+mItrq3BpGlM6Wuna8+ZQn97AYdF0TkMI/GGHFHrq0oQDgaAbwgJf6sOT+qjBJPC9phSKxcUD01CpR8QX2haMgaJxEeGf7/dR3mkSQ718IBkUTA8rriQCvz6v2PiMFhT4vcxpqedoW0O/nlbQlI4SkGUWFib/vXe4s5AkmQvLZ3IoJ59A6O/ntdLxVGfmUJKRQ3lmrEvMsfZGNtcd4769r7OzKdoxWR/GNpkdKbzony6fwu9mLORYVi5d3XiFSz34PmpC4AuGEOVYtIfDRbWxqXXu1ka0A++itzVFlqnNtbxdW0H7QKQNDiYWEXy5D+0bRYrOAOFyufB4PHR0dJCTk35qgeDMo6PD6BbpcqWwdzxD0E0pOV5TCsU5ZcNgSjYugi/lj0GSZZgwCyqMvPSlpvxwfaQI/KBZ4JuLhO1I5TOMTqkWFHo9HGtvYHZfipfjaOhsoST02u5wRfbdOmYSuXH9DfwhEVqSkUNRySS+P1ejwOdFzTVcJ0rcOXQGkuevB8wP1MM0gu8LBlJG8DeUjANJwmuzs6FkHBfXViUdW5ydfgdbzVSErQ9EKpZAkIKAllzUTjm2D/3YPvS8YuSPfI8D7Y38cs+rAOQ63PxgxdUjsjGWHgyAxfXK34fPIiL4A0RY1NfU1NDW1oamaSIVQxBB13U0TaOtrY2amhoA8SAIMTn44Qj+95ddRa6p8+qQ4Yo7h4lGWoQ0LZqmU97VEXntkYbx5dURrQ+IzcE3Fwk7oMi6yRVAsbeLU/1soeg3eb6X55ZEbtT56z6WMNacRpLrdHM6Iws1zyioznNmkOVwkh//OzMRjBH4w2+mVdM1Xj2pYjfdN9rLJlPjziQoSbxWOp5WU2rSzoISq91EcM9KbTEbOzgq8CVvR4qBAkH/05nObHZLPfr+t6loq2Necz1XVR9hbP1JTnQ0D/j5DQhxM3U17kxeKx2Ppw8CX0TwB4jCwkI6Ojro7Oykurr7rouCM5vMzEwKC9OPsI1W/N4uwnFvr83GuvGzKcnIHtJzCiNNXYh+ZIfxJisfac5qY/m46ZaTqH4L15JhQ9IUnVibT6lwbNIJ4rGeDt7t7N8CTMnU1MxuegiRSiawd8YS5h7aFlkWNEWZc+PSp+YXGg8mDtlGlt1FRyA6M/T+qUtp8HYQrNwf3WAYRvCfO76Pp47t4hw9+jvJKJnAneOnIqNHfP4BLp8wjzcqtibsozq3kAmLL0YaNxOpLLFfQFJM3aJlTxe6pqG/9jf0tkbkCz+ElNuLXhICQRqozbVpzxrpR3aQWzSWT4ecvdadqqRq6Xsgp2ggT3FgMH3mzqw87p4Trh96p9e7HMYhppGNLMtMmDCBkpIS3G63yK8WJCBJEm63m5KSEiZMmIAsiz9H3eRSMya3hOunLE4xenCR55+LfN2XkJZdavwfTsHJKwGLaP343NQR1SElJoKvIYWixDFFwnZHjA1oPGVdHVS1N/ZbxEwP+JFMLjoJOeOZuTFvNVOUOTfORWdx0YTI6+unLEIOXX8vnTCHC8cpTMguIGj+nQ1Dgb8xVGRuNz102W1OlpdOjhH3AKvLptJmd9IV91DZmFOIvPSSnol7wJYRFfg2Xxe6ugl952tQsRPttb/39KMIBGmz9+Bmzq1L7MdhydHdrDb1fJABvaV+YE5soDEJfF+qbuw9QETwBxBZlikuLqa4WEQ7BAOHXnccveYo0sxlSK7M7jcYxtg8pnQAk8gYLkiT5yFNnhe7zGY3RH5zbK662z38zj+MJMlG865QzudNkxfx0LGdMTaZut0JuUUwbgacOJSwj3y/j4yAnx/teJFvLb2MYnfvZ1q01/+Bvv0VykzRaineZjQ+amzOE4/b3yyT+87ZZdOYnV9Gnaed6XnGQ1d5Zh4HYlJ0AgwnNF2LNHmzmVM7bTY+OvMsNtfF1iMUu7O5bspiqtVtzGhrjiwPpkhRSoXd1HMio6OFwO43iDw6hGexBIIBYMmuN/q0vTYQHbYHA7PAN1373DYHvU2EFCFDgWAEo3e1o/3jh+gv/QXtN59Db6oZ6lPqMXowgK7r6MEAtlAOtgZIw1ggJ2DlNtNPUZgBw3R+y/ONYlZzBD8vM9doGvbeLyN/6JtI77k1YRdjuzrwagHUZutC3HTQu9rRt70EemwevGyLFfiZ5dNiNzR9P+YWRGcaVo2Zij0ub7XQnYWSPybSIbMsIzfGX7qy+TSbTlfy3PG9bKg5MuT1Ui9UR9OH7Oafi82OQ7bxXtPM1mfnngfABeUzebs4tmYikNm7up6MvOjs09i2Jny1lb3aj0DQUya09s2ZSx+hTjq6KbjVaApZ5MW7t/WAfovgK4pyMfB1YCHgALYCP1JV9fke7GMm8F1gDVAEHAb+BPxGVdWEKihFURzA54CPADOBALAZuFdV1Zf69IEEgpHA8QMx1pLaP36IfNvPjKjyCEA/uhvtyfuMFAmTqOi0O3Dbh7lANiHlFSfmqg9nFx0wBH4oSmwP5b6bc/BzQxaTks0OZZOhdAJ4OtBf+1tkzNiuDipy8mnze/jt3vV0BHx8TFnVs2h+zVHLxfEpOhPHxKWZmIrSJucUcdOMFdR2tXHp+DndHtJps+MyPeDsrK/iefXtyPvSjBxm5JWmc/YDwovV+yKvy0z58MjG3/WF5Qo5Djc5ThdzCwxR77TZ2Vo4hrPqT6G0NXE4O4/aCbN6dfzi8bM4lVNAWciKMCNONOl+b0w3ZIFgoJAu/xT+tx7D3lKX1nhthAp8KqPWoCds0di7PNSNrhRFuRl4CVgNvItRFXA28JyiKLeluY+FGOL8A8Ax4HlgAvBr4CGL8S7gOeBnwHjgRWAfcCHwgqIoV/fpQwkEIwDdE+dR3dUOHf3rbDKQaC8/FM1/Nl3A2+2OXje2GhIyLCKlFk1LhhWmPHxOH+P82uMUmjv1xv38JdmGvPgipLOvjSwbG4o6PXlsFzsbT3C4tY6/H97co9PQTx2xXC47YiP4TrsjplOwa+qCmPVryqZz/ZTFZKUpPLNMzkw2XUfSdaa1NVHa1cGuxjRzgAcAXzBAp6nh13SzvWXowd0my5w1ZkpE3IcJyDK/mrWEzy+9gJ/PXoY9K7YPQLrIskx7CtedQJ0wjhD0P1YzZ9L4mXRe89m096H5vajNtVS1N/bnqQ0ouqahH9wSeb+lMDoj3Jf6zT4LfEVRyoHfAy3AMlVVL1NV9RIMgd8K/EpRlHHd7EPCEPG5wE2qqq5RVfU6jKj8LuDDiqJcH7fZ14GLgNeBqaqqXqOq6lnADaH1/6soysgIYwoEvcWqoGgk+Va3WV+E2+0O3MO5E2w8VqkQw8T9JykmIaw/8wduqDrIOXUno+uT5G9LhVFROTZkC6qZbsx7TA2k0kHf/671cSx+//bLP8WBkvHsnL2S8ZMXWGyVPpmmWYayrg5W1Z/kjgPb+NaejRR0tPVp332hzRSBzHG4KDI/sHTjzDQtVKcQCBXsT+9DoXdG6cSk6469/je0Tc+ibXkefRhajApGJp6gRWdsVyZOZ/rpmhWNJ/n57le4Z/vzPHd8bz+e3QDS0RyZiW+zOziWFTUUkIe4k+1nARfwC1VVI3MMqqpuBn4EuIHuovhrgQXA66qqPmLaRx1we+jt58PLFUXJAP4HaAZuUFW11bTNo8CTGA8Xc3v9qQSCkUCrhcAf7pHjNOiwO8gYQQJfsojgS8ryITiTHtBNpFvKT5KiUpQo8HuL9trfoeW05br4CD7A+AmzmHvTd1nyntv67Ew2TlkZeb206TQ3Vh4wjguMD9lxHmw5zROVO6mPnykbQNpMRYJ5zgwwd9mVU8esrp+yGCVvDDPzSrlj/kXM7EOaUV4K550pNZXobz2G/saj6NteTDpOIOgJ7d4uYh4XxytIdgdOd6x5xKZCi5qnEB5TLvsTlTtTNrsbNjRHZ6/rXRkQc20bWoF/aej/JyzWhZe9p7f7UFX1beA0sEZRlPBd9BIgG3g49BAQv821qqpOVVV1ZzfHFQhGNFaWYHpTDXpjz6KoQ4EesIjWhCj0eUZWik5cBF++5gvDP0e5u/PLT3ITzS+JpIrk+72M7eqd+NV1HX13cscMW7yLTj9TMHme0YXYgmDQT1fAx2/2vs5zx/fyjc1PcaS1jgZP3x5o0qE9JoLvjnX46aa2ZlpuCf+z4CLuWHAxM/PH9OkhKDe3mOY0Cvz0Nx5FH4Y2o4KRgbbxaYJ/vRv96G46OlpiRKl83ZcAsMddC/bnFfHkuLii+xCOuO9i9TBvfKUH/GiP/jjyvsEV/ZuTkHD3oZ6uTwI/lFozB8P0Yr/FkIOhdXNDY5MRjrTvSbJexTjXcPXUktD/mxRFcSqK8kFFUe5XFOV3iqLcGCq+FQhGNbqmQX1irrD+8kNoD/4/tD1vDcFZ9YD25qSrDuYUjLAUnViPdrJyrccNI6RU+dmSBHnW9r6SbIsRxpecrOzdCXS0WLZmD2MbhCJr+bLbLFORumQbR1rr8YSKjx3BIAee+T2vP/UrTrT1zeWjO8wR/ByHC4JmgT94zdMkSaLqrCtoCP18Aqk6aoqcfEEv0GuPob/9BNQeQ1v/T1pNf1stGdmRQvv4B1WfLMcIYTPOuJSx6vam/j3p/qYqVjo3hR6qZUnif+ZfiK0P/XH6mqNegJGeU6eqasKVWlXVgKIo9UApkIORNmNF2OMsWdgxvDwcUpoe+l8GtgDzTWM/BXxZUZT3qKrabRgzVCB8c3fjQixKc5xAMPDUHE0pkPQN/4F5awbxhHqI+cJbNgX5PbfS9te7CWgaG0rK+cBIEvjxKTpWRbfDjWQpOAC5xSmdmORVV6OFXB/mtDYi6Tp6T6PF3bhi2C1SdPobKSsP+aPfR/vjHTHLdU8H9+19PfL+8pNHWVdjeM+/vu1Fxp33wQE7J3MEP9vhjkvRGdzuyIuXvQd96SVQewxnZi61j3yXEotZDL2uCmnMpEE9N8HIRz9s6r7ceAr/0V3RdSl6unhsdg5n51PnyqDE5KYF4NYCLGuoodjbxY6CEqo7hrfA1+Oug212J7kONz8567o+77uvKTrhyodUSb/hn36qirPu9hO/j3Do6VdAJkbKTh6wGKPodiHw725mDcJMBs5L81/vLAkEgn5G2/4K2j9+kHpQR0vaLb+HAt08dZpdgFQwhvtXX8H/W3g2NRnZuO0jqEY+Lkd02BfYAlJeigLM7txXyqYQCPnQZwf8jOtFmk7MjW36kpjGVQC2QRD4AFJ2PlK8Y0yciA2Le4C5h3cM6PkcNUUxcxyuHqXoDASSJCOVTUHKLcLjTDKrcvq45WK9qx1t6wvop6sG8AwFIxU9ziJ3kanJlS0u7XFv6AGy0elixeJL8Nts/HT2Up4pn8KevKLIuPNOn+DjFXu56kQFX9m/BU+d9Xdz2BDXmGtnQQntgf6x+uzr1SIcWkinK0iqh4l09xPeR/gq4wbWqapaEXq/Q1GUy4ADGJadF2PYd6aiEljfzZgwiximIl+vq4bm0zBlfmKLd8GoQm+sifEiB8CZAb6uxMGnKiCu8+pgoHe1oVfuRZowCyk733qQKYIfHtMZ9BMMTUmOqCJbSUZadTX6pmeRFl80/PPvIXUEv5smY5Ik4Rs7DXso4ja+s41q0w1Z0/Xu/ZtNAr/G5aY9t5DpddEHUvsgilnp0o/TkV9M5sb/ApBp5eYRwt9L68nuaPV5+M7WZ+gw3dyL3Fnopgi+1E2R7UDjc1inRej1iSk6esCP9s97ofEUekYO8sd/iNTLzrqCUYqVC1wI27xzYt6XXHE7b+18ldIpC1g9biZHO5t5o+Ywz4ybyvKGGua1JKbOZQSDLDqyC331e/tclD9gdEYdu94uHkudOxP6qdFeX68W4TBHqr/a8LpUIZ7u9hO/j/Bd4HmTuAdAVdUuRVEeBr4BXEA3Al9V1QeBB1ONCaMoyusYkfxhhd7WiPbIdyJfCmndx5BmnzVimh0JeoZ+LNH6S5q6AP1Aot2g3tbYhxr83qHrOtoTv4ZTFeiFY5E/cjeSVR6hOQc/uwCAVlM0I9c5ssSAvOoq9JWXGznqI4H8UpDkhA6yAFKK6fHIGLMnfTC2sM0b9JPRXZFsW/QB7/X2BmzujEjuJYBdGsR8c9mGffICCAv8gBE1P7/2ODdUHYwZ29nL7rDd8UzVnhhxPzYzj8VFE+Ii+EP73fInK7q1mMHR970N4WL/rjb0jU8hnff+ATw7wUhC13W0tibLyG+7M4O8OIE/Nq+EsedGvz/lWfmR174Ueerj2ptp93vJ6UNH2P5GDwbQ97wJkkR7S30kheVwKNB1xcT+Ccr1NUWnFUOcF1t5zoeWFQMeVVWbU+wnbL5clmR9fI5+OPRTmWR8eD7VukpstFFTGfPEp7/4ANp9n0Z77W8jtm2zIAVWTh7jFeuxQ1FgdLrKmDkA4wbfkKRpkOnc9KxcPEE/3lBBoV2SR1QEP8yIEfeA5HQjrboKsvKRFl4QuzI+5cgC2XTDdMY5V3SlcEgKo5tEYZvdwY6C6IxCjTsTex+Ky3qD01QonRXwk+vzJoh7iPX87y+CusbW+tg0lk/NPgenzR6bgz/EQZusZDU/FrOH+uHtse+3voh+qiJhnOAMxduFnGSmLDBuuuVyM0peKTbJuEb4Ulx3SzxdqA3DqwhcVzehv/II+ssPk3Uk+nfS7nAyPiufi8fN7pfj9OkKqqqqDuwFbBhNqeJRQsfY3c2uwu45CT3GQ3n0szDSeML9u8P7K48fHyL8oGBtsHwmoAXRt7+Cvv5fQ30mgj6ga5qRb7/7jWhDmfi8+mmLkCYmuSC0W3e11QN+NHVTv+fG6j4P2l/vjl1WnSiSAHRTBP/BEyonTR1485wZw3dKdRQhn3Ultk/+DGlVXOPvblJ0AGwmgR8fwe8MpuE9bfKW77A7aHK5eWjKbPblFvKviTNxDPLDkmyqmyjwezmnLsmDqdnVpp842Hw6xj3nf+ZfRFn4gcOcozvA1qHdoSc7ftw1Sdv6AlQm3vb1E4cG4rQEIxAtRfApI42C7fKsfL66aB0XlivMKp4Qs+5IYRntIaMDGzobD75r2SV3qNCP7LBc3m538I3Fl5LRT2nW/REieT70/zUW68LLnu3DPlYDJcBbqqqGk5WeC/2/TlEUq4TIS0L/v9nNcUcJyb+4+q7X0QfBu1kwMOhbX0R/7W/oL/0FKnYYC8030wmzkC/9BFJ+KfI1n0dacz3SJR+Pbp/kIqq/+zT6M39A+/s96Em6yfaKmsrEZSeT3NRNAv8YGj/aGW2YkzuMplPPCOJ/3q7uBb7dlELl0oIUmtJ6OvxpCHxTBL89JBw3Fpdzv7KYA3lFg5qiAxg/A9PP4fKTRy2HSQMg8LfUR4t4LyifiWLuQWBOZRug/P90Oaosi7z+36mmNAKfB13T0I/sQNv1evLAUmcyIz3BmUK4Z0KrRd0GgF+SyZibnvvbxOxC3j9tKYvGxHrid+YV4yyNiv6y2ipOdw1dd+p4rBojAqydsRxZ6r+Zy/7Y0wOAB7hLUZSl4YWKoiwD7sRwwPmtafk0RVFmxQnz9RgzAWsVRbnVNLbEtO3PwstVVVWBZ4B84MFQZ9vwNl8Bzsbw5X+5Hz7f8Ke7J9Om2sE5D0G/ous6+puPRt+rm4z/TbZg8sILIvnS0tSFyCsuQyocG93J0V3orYnFR/q7zxgvggH07a/0y7lqrzyC9u+fJK6zcNjQtWBMik5znDtHTpJiPsHAkFCYn0YESTIJ/CJN5xMHd/DFA1sp8HpiotFJiRH4icdzDHKKjiRJSGkIi/4W+Lqus6fxZOT9suKJ0XWaZvQLCBOqVRkqfCXjuWfuCn46aylbC0vpMs+yHN+P9uR96C8/nHwHw0hkCQYWPc6+8s3KXVT98Q78v74dbdOz5D77R8vtts5cktrhy4Kc/DExHXBbpy7ApayIvD+/9jh7GqMzcl0BPzWdrUMW1fdaXEM0ILsPnaet6PMVVFXVSuAOIBd4R1GU5xVFeR54G8P7/jZVVc2pMq9giO9rTfvQgI9jFNH+UVGUjYqi/AejwdUC4E+qqj4dd+hbQ+uvAY4qivK4oih7gB8DTcBNqqqK9npg7a4iGP401cS+D0dVzRF8q2LIONca7aFvoaf6Dnj74ftRtQ9952vW65prE2tBGmsiqQ7NDhfeuNxiqwugYBBJR1ybbCwX1VUz5fRxZrY18+HK/bT6Ugt8XdcSUnTiGewcfABp0YXdj9H697t52tNGc+jv021zMCXXVDrW2Qrh+gZ39pA7pE3PLeVEZg4VOfkgSXSZrGy1x35uvZHpb1uvPoS25XnLDtyC0YP23J/RfvNZtDf/DcC+plN4NvyHce3N2LQg+luPWW7X6HTB/HN7fLysglLql6ylKreQf85dxYJZq5BmnRUpCi/we9mivktXwIc3GOA7W//Lt7f+lxeqrfqzDjx17Ymz5g9OnUthPz/A98sVVFXV3wJXAhuBNcBy4C1graqqj6S5j03ASuAxYAawDqNY9lPA7RbjT4WOcw/QArwHKAQeBlaoqro1fpszlv4QcILBJ+4m2OENpVqZBb5VMWRWPphtGn0eOK4mP04/tJnXD21LsVJP6Lhrzv0/npnoGb+gaFyfz0nQB9LIf09mBTqntTHGDckSb1dk5rFLtkWsUWNOoR+nqtMmSeRQMwlrORjkjVOHeLxyR3qpSN1wyGQXOiOvJFI4CKaZNoCcoY3eA0zPK2FidmHkfVcaRb/yVZ+Nvmk5jf7Go2hP/zb5BoIRjd7agL7/HeP1ZiObeldNBWcnqWk5mJPPHYvP5VczF/PTuWcxu3Ryr4479vwPMOWWn/DBdZ8g35WJZHcgmTpuT2qsYU/jSY601kUeqPvrb7inNJtS1V4om8Snl13I1qKymDTH/qDfSvJVVf0v8N80xk1OsW4f8N4eHLMN+H+hf4Ik6N7OQbdKFPSd+Pz5+pY6stsaY110LC4IkiwbAt8cNTcJtoRoeopuuGmfa+2x1OsPb0caOzW6oM4s8HOwSzKXTpjLlrpjzMgr5ewxUy32IhhQCsdGbA2l8VaeCXGk8Po/1HKaLXXHWFA4znCCiceUntPhGD5uSZZ2rkDTvHMo2vEqAB5vJ0/u30BWwI+uw3VTFvXpmDWmm/3kbKNhj+73oj307dhuvwNkz9lTVpZOpioUgexO4EsLzqM1Ky+xy+XpY+ialvTnLRjBhK1RQ+i6Rv7Jw7i0RDtegL/NXcXXFq3jpRMHuKBgLIVpFPinwmzO4Jg0N1LQOq+lgc1Np1hYND5m/MbTFVw0bhaDSa7p76YyOxckiW8sfg/2fjYWEH9do4Ju8siSRPDb/R6OtNYlWNptrjvG/XtfZ1/TKcvtBINDfPHrxJpKtD99Bcw59Ume+KXpi2MXmEV8Z2werN7ejN5NSkXK89R1MOUQh+ky+RTr+98xagpOH0N75vfoW6MFtScysynPyuPKSfP57rIruHHGiu491AX9jnzFp5Bmr0K69Bak3DQchlMI/MOtdfzpwAb+VZFkZseUi91hc1DszuKC8jQeKgYBadmlsQsmzsE3NlrEN8bTwXd3vc2392ykaUff61caTKlKJSEnH33/xlhxD0jFscJkqChwRq85Wd3Yoe7Myeeb+163XilSR0ckbT4PanMtfi2IbpFK6Y13ZvP7KDXVYW0rKMETErL/njCDLy55D2Myc7lxxgoWx7nh9BVp2qLI65mtTew+eZBDLUZNol3TQNfZXJc6ODUQyKafm1+S+flZ72XCANTXiE5Io42pCw3fcXN6h4XAr2pv5Ec7XiSgaxS6Mvns3PPJcbjpCvr4vwNvo6FzvL2Je1dcI+wKh4iO5tN0G8sIdYbc2VDNC9X7WF4ymQvKZyKtvAJ9V7RBs+73Rmdx4p0sThxEu/+zSOe9D3npJfSY1obY2YIQb+XkssbTRkbQKKjVnrofLOzBTrszKRxhTa1GI1LxeKT33JL+BikEvqTr6JLEmzWHWT1mKtkOF6Vm5wjTLFS7w8m03BKumbyQfU2nqO1qY6mp0HSwkVZdBfklRp1I8XikWSuxmSwfC33R7/oVJw1fd0/Iz9vdi94N9d6owC92h2Ldx+Nyg8dOQ1qyrsf7HghyTL/3sZ7OpOOCrgz+4G1Dl234ZBlnfATX25WWHatg+LC/qYbf7luPLxjgY5UHWFZ/iq78EjKv/x9sofS29lNHMEtV/eBmFp6KOlKtL53AU+Onk+33ocw5m6IB/A5IOYVoYyYj11ZiQ2daWzPrTx1mSnsLnzm4gw67g5/MXsb+phpm5pViG6QZJbPAXzd5AVmOgQloCYE/CogpBLfZkd//VbRn/gBhz2Ff4kX4per9BEIdLBu9ndy9LdHJtNnXRYuvi/x+zgsTdI9+eDtZFp1pY3BmIMk2ajtb+e2+NwA42tbAytLJZOYUIs1ZbXSTBDDnGVpa1eno6/+FvmRdzx/oaistF3tsdo5n5jCzrdlYkMT797QrkylC4I88Ugj8X295jd35xfxp+nx+tPNF7JLMF+dfyIyQS4RuiuC32x1MySnCbXNw18JLqO5oYnpuz1w0+hPJ4UJacH7MMluSG3Cx18OJjmZ+tONFkOCrC9fFdNhMh3pPosDXTTUz8k3fQSrp38hmX5ieV8KErAKOdzTxUtlE1tZY99K4Z8ZC9NC1pNaVyYT4brehCL4eDEC1CmVT0uqgLBg6NpxUWVB3gkkdrSyvN2ZtM5tPc2LTM0y4+CNwdA8Fcdd57ZVHYlKEL11yKRtbapicU8T5Y2cM+Dnbyqejh+5R47ra2aWXcE31YTKDATKDAa46cYRfOl5lXGY+X5h/AU8d28X+phqWl07iyonz+z1tBmIFvs2e/Dra5+MM2J4FQ4IkSUjZBbF2b3ERfF8wwI40O7ud7LRulCQYOPTOVrRnft/9wLxiNF3j9/uj7R40XafB02F02zRHRgLRqGPKbpLN3feG05tqCT76E4J/vgv9xCH0eLefEH5JpsrUHTQZfpuNfCHwRx4pok42dBY117G4yfg+BXSNn+4yuRZ3RSP4HXYHRS5D2GY5nCj5YwYtkpYuyW7CHTY7f9z/Fl4tgDcY4OFDm3q0386Aj85QmotDtpHrcKMH/NGHcEmG4uFVcC5LMl9bfAnfX3YVb42ZyP7cwoQxP569jJqM6PXH/DpCyCxAf/EBtMd+jva3ewx3JcGwZfbhHXy8Yi8X1cZaH3uaa9F3vo72xK8StjHbynplmXljp3HLrLO5eNysARHPCZREU9uuPFGBQwsyIxx0AlbVGanIJzqbufPdx3mr5ggN3g6eP76Pvx3eMiCnZBb49hSBkj4fZ8D2LBhEEnPwJVdUMOlxXQZPdbay9vghvrX7HRY31jLL3FQljhMdzf12loL00I+raXXLlArGcKy9MeEh7Pvbn+POdx+nyWznZ4rg6xU7kx/75OFuj6v968dw/AC01qNtfTHWp9uET5Y5kJd48zezK9/I9c5zisjdiCONG9NZ9bF1PJ5wznacB37BMI/c2pJ81oxggNOma2RFW8/sH1tNeej54e7N5hm2zBykoXAT6gabJFOSkU0wp4D7lMUJIr8troYmYPXAFgo86fs3Gu+baqAusWeGYPhQ2lxnubyrtQH91b92u/1Tk+f09yl1ixSX13/O6Vg3Hxs6EzpakSw88d+uPdKt5W9vkE3OdULgC3pAaDLMJPD9cVOjDfXHufzkUco8ndx6ZA9fnHchK5NYU1WlaCctGCCqU1hamnG4aUySA9vm97CjxRSND+XI634vhDsIyjbkW38Sa4nYaB2ND6P7fWB+6Du8DT3kLhKPT7axL7eQhyfPTlinuTKpLC7nyXFG8WKe6Fw78kjjxlQa9/1sCQtac5Gt3UGBa3jP4NiTzFbIQJ7p4VnuoV9Zq6l2JdK92Szwh7hzbXfkhhrS1cTZ9XbaY7N/txYmBpHiGyEBkMRpRTA8sCcpqp7XkthM0Yoxyy/rz9NJj5LY4vQ5Fuf6tX2b+fShnUi6IfbPrz1OiacTHajzGNeqwy117GyoRuuHWSZbUAh8QbpYPHl2mKI+Ta2xUaX2+BbRbQ1MyraOtFb2MCIl6Du6KYp138xFNCW7AOQW0WxRXxGmzuycExYh5uLrnCKknEKkCz8UXdZdK/m2xAYdyfDLMkgS75SU8/8WrKYhJGAanG6+OG8FP54ym1MhD/x8EcEfcUiyDbrJDS/weWOuTy2+LvSWOvQ90bSyLoeLrAHMQ+0P7CnOL98k0ntav9Jmig5GujebZ8TSSHEbSnJCf9Obispilnvi7DP35xayvjQu1cjSRUcYOgxn7KaZ5daZy3u0bZds4+yyad0P7Gckmx3p4psi76eb0nPMzG1p4O5db3PXvs3cUHWQb+x5l5mtjTR6Oqhsa+Anu17it/ve4J3ao5bb9wS7OYI/gMEtIfBHG6Hr42FToxmHKVLy98ObUU/ERoj1XW8ktSU87WnncEv3edmC7tF1HW3XerR3nkrdWbYjKrIbnW7L/FW/w4W08IJIww4rvDZTZD4sQswPe3mG57ZkEhF6dwK/Nf0HPp9pZqDRlcF35q/ix7OXcc/clQTici9FBH9kIl/zeZiyIOl6h67FWCm2+LrQ92yIGSNlZA97py5Hiihbjt8Huo6k68g9Ffj+RIFv/huUhnkEPy9UO3MsK5fdeUa63btFZZHi2jC6JPHPSbN4oWxSdKFVBH8IvgaarrG/qYYmUyprvaed3+5dz78qthr1TAIAHEFTBH9BzzrOemx2HIORc2+BNGZK5LUzRQS+yOeJiGKnrvGhygM0eDr4V0W0b+pDh7oxv0gDm0ngOwbw3idcdEYpuqkpSnbAR2VrPVkOF6+fOsTauJwyfdMzTGuuJTszg3aLqeh/H93OVxf1wj5REMvxA+gvP2S81jWk1dcYLw9vRz99DGnJWiR3FnRFb/CtDidVmTnMbo1Gzu+edxYtDicl6lspUwLMApuAF72pBr36YGRRxOvcHCXsRuDrrelNxYIRwf/u0sv56+HNHGw5TVCWqcxOFCw5Dlc0PUEwopByCpGv+gzaw98xGtyUToSMXDi2JzLm63s3Ydc1Xh0zkZapS9CPbI/Zhz1jeEepASSHM2m3kfKudt5XdRAd+O2cnkU120zR/4j95AiK4E/PLeGtmiMgSfx+xgIKvR4aXMn/ls2Rfd3bafTQGGL+XbGdV06q5DhcfHPJZeQ5M3i2ag87G41c7UnZhawsndLNXs4MnObUkqye+bZ77fahe5DPzu/VZqXeLnyNp2gLJNpA9wW7KRXN6RARfEEKgqanwZawR7PdGWkm4dB1HtryNFXbXiTL7zOmzeMoPriFu/Ztjpk6ClPZ1hDxeRb0Hm3D45HX+sanjf9b6tGeuh9949No//2dkeMeegALShJdNjuvjZlAVyga/+zYydRkZNFld1DV3kRle/KUGbPA19XNaA98A33L89EBId9iMk2iu9sUnfQF/tnjZlGWmccdCy7m/rPfn3Tc1ZMWIg/DQkJBekg2O/L7voJ85WeQ3/9VbNd/CW1StJiuwO8lJ+Dn8pMVtHW1QZxXvF6QvMh/uCCn6Nh61YkKinwein0eLqo+QoO503Q3xEfw9bZG9LefiA4Y5gJ/WUk0Iq9LEg3uDIgTcSXuaB/bLlNufrCrHeLvN0OQg//KSWNGu83v5c53H+dfR7ayoTbqNPb0sd3JNj3jcJpSdBzuntXN+HrRI6LfyMxB74EzV8BUExRoqeuXvPswuq7jMO3PKVJ0BKk4biqEVUNd2rxagFZTNP4bO95i0bvP8s09Gzn/tLVFZpHPw4qGWmRNY4EuUR6KrOlAdXvzgJ3/GYPVBcbc1rtqP7oanf5rsztBkhg/ZjL3zF3Jr2cu4tlxySNJ8XUUvu4uaHnhCL6pAVFbI3qKm6zeTRGuGYfpIumQbdiTiPizy6amvU/B8ETKykOasQQpFIW25RQljLHrOtN2vwWmHNafzlpKrvn7N8JZ0FzHwz2YwjcL/JKuNrS/fCtmvTRmUvwmwwqHbOOuhYkNuL695DI+Ofsczi2bzidmrY4sbzSJGb3hhIXATwwwDSQBi+OFBX+YJm/yOqee0uH30e7vf1eWwUDTNJzm1BJXJtL88yLvW+2pBby/m/UDiSTJSKn6U+QUQjhNuWQCnvFKZJW/+TT1PXho7w7NNBvgl+QBtQoVKTqjAJ8Wa6nY7vfgDQbosog65cZVwUtnX4u+5YWIJ/GNlfu5/vhBMoJBThaP495JMwnIMlXtjUzPG7rmMyMFPRgA2ZZkKjIuL7WrLaEDrP7SQ5HXbQ4HYzNyuXbyQn7QVENjN04jt81ew5OVOzne3sSprtbYFB2rsxlrFDxJTrdxcQsV5eovPYh0ycetNzIVAD8yeTZ78otY1NbMvPpT1LkyuMD08BhvLfgxZRV/OhCbf33TjBUiej8aSdJ2fe7RPTHvK7NzWT4CC6wP5eTHeGmHaXK6qfO0J26QhHbT3/+EHetjC0+Lx8O4mX05zUFham4xk3OKqDTN7mU73CzJymdJ8YSYHPZjWdGHOVt9deSaE2GQBX59Gr+rgK6h6Vqfr1MnO5q5Z/vz6MBXFl7MlJziPu1vMHi0Yht7Gk/y3qmLmZVdhC30uwxIEi67E/3CD+GfOp+Xve08VV/F1/duYnx8Q7MQ/gHq1po2OYUJJhG60400XkG+4EPQUod+dBfS/POQdr4WGZPR1QbEah9d13udbuT3eQg/6gRkGfcApi0JgT8KcMqxv8ZDLXV0+H3k+bvJG7M7kVZcjrToQoJ//iqS13hKzQjl2ZXXn+C8jAxeKZsU005dYI1+aCvac3+GkvHI77sTKT5iERdR1/58F9Kcs+N2Eo2et9mdFLqzmJhdyO1zzqGqvYlZ+WN4vHInR1pj/YhzHG6K3dl8YtbZnOxo4bvbnoktsrUgkFOAPXyhcmdBe0jgH96Ovi7xAqb7uiKNsIJIbCoaQ0C28UbhGN4oHIM7EIgV+HHOI8tKJrG0eCJHWuuQJZnSjByyB9AiTDCE5HSfn1vvdKNJ8rD3wA+jL7oIaccr1JWMxzVpLmx5IWHM2K52y6hwMjyhlIflDTXkVO2LrsguQL70E8O++DjMlDiB7zYFl2RJItPupDPgo83hotHpotDnRQr44XRcF9xBFvi1JrvWVPi0IG5b3wT+Xw9vjnSPf0DdyN3LrujT/gaayrYGXj5xAID7967n5wsvITz/4pPtuDDS81zTFnM5UFBbwZ+8XSxuOk2Bz8N5cX7zgSRGHoOFVFCW0OfFduktSNMXG2/yipEmGpbOdlMws9CbOOPSGfCT1csHFr/PGxH4/gEuOhahs1GGjlHl/eSxnUjd1C9JKy4zOt+6MmHmMssxs1qN9J82i7x9QRRd09Ce/p0RkTpVkVBICCTkpuL3ou99K+k+2xzOiPhZWDSeKyfNZ0ZeKXcuXMuHpscW8xWZutYWh153psh5rJt3NndsfIwf7niBgBZEvvDD0ZXeTrTffRHtmT8YXTXDmNJzat2ZCU44HrudjSG7vJPuLKS8xDQNSZKYnlfK1NxiIe5HMVKSCL6ZcLrZSBH49gs/hHzLjxnz4W+TlaRoz6HrnH38UNr79AT9KC2NfKxib3ThxNnYbvspUunEPp7x4HFu2fTIa5eFW8qYjGjk/oTptfbYz2N3FBweEfwiV6xzma8fzuuYqV6qtqubWqcB4mRHCwdbTqdV3BxucinpOosaT8O2FyPrfBbBo0y7kzp3Ji+OnczO/MTZ/uBQX+8LxyYuy8hOXAa48ksjrwtMpiRy6AGtrQ9pVu2e6ENlcIA7dguBPyqI/WPtDE17PjU+uedscNZZSCsuj7yXLdxNwPCG/fqed9F74H8+HNE1zShgHSiO7yfm91CxK3GM1UNS/BS1iRMZ2RQmET9LimL9xztN+3Ha7GTbXTS53LTER02KxyNfcTt3u5x4gwGOtTeyobbCiGJMnh8d52lHVzeh/fpT6J2hC5IpfaDdYf3w8NfJs/nprKX8eM5ynLYhnpIVDB3dRPAfmDqXjcXlAIwZAS46YaTcIiRZxulOXjdwzsn0fbLHNZziCwdjgwHSDOtgy3CmPCufqyctoMCZydWTFiTMPJSZCvlTuez0NoIf0IIcbjnNL3e/yj3bn4+ZTUhFl0XjprEZufxgxdUUmFLH4tNgRyLH2hq5Z/tz/GzXy4bzUTcEQ2L2w5X7ue3IbtzbXo6s81uk/2aZ7jUHcwtoi5vBDgxxMzupsCxxoTvRghpANhW35/u9XH6igt9ufoV7d7zFjNamPtVR7D8a1QbeAXaPEwJ/NBCj76MX1neLyvjrpFmWm9hWX41kfnpMEUUb39XO9KoDfTzJoUPvbEP7851of7wD/VRF9xv0Ai2ueZh+yuIC2sNCnV35xRS4rC9AOU43E01R0njBH46Kfm/+WTHLpfnnIs1cFhM5qA4VaUtTrf3M9XDkJhC9ySWbWgzKMhU5+fhsNpzdpAgJRjFJGucBaMC+0OzOBeUzyRjC4rvekpGVXODnBnz40xSq1x5ODARIM5b0+ryGkssmzuPelddw0bjEe47DlL/emErU9ELg+7Ug92x/np/sepn9zTVUtTfy2NHtNHo6aPV18Z+jO7hvz2s8dHAjXXEBFa+FcP/QjBWAMRMRpj8i+KnQdI3Ndcf4+a5X+PmuVzjcUtf9Rj3kF7tfiaQIrT/V/SxTWOAvb6hNWGdVMGsW+Jokszv0AB+mIa6j7KAzZlJs13ZXJuQmzjIb66IPI2WeTi4PPbRnB/x88vAuPKn62HSD/UT0Zy+Xz+j1ftI61oDuXTBIWE+3abLMhtJxnMjM5s79W2LWyfFT6EmeZMNkdWefOIzRX/srhESs9szvsd3y434/Rn1dNTElU811RnpLexPaM380pgJNbkfdcdqVwemMrJgoUjy3zVrDz3e/gq7D6jGxTjS2UASt0+7gZEYW5V3Gw4U0eV7CfrTQ90eauwZ907OJ59kcutmYLNICaeQGx9eGCM4gUkTr6tyZdIQEwvKS4e0SkwxnRg5mrym/MwNH6KbfZndgD/q7beqj6TrFcc2epLU3xzSeGy0sL5nEGzVG/nOqCL6uBXvc6+pQy2lOdrbELDvYcpqvbX4yYey4rPyYBxCPKYJ/btl0LiifSXnIbcUcoOhNBP9ERzObTleypHgimq6lfOj7/f632NkQDRI9fOhdvtvHHP3w8RyyDU/AT5fJ6trqwSYenxZE0nVsFhaRAasIflwKTs2EWVBzzDieLNNWVJ6wzWAiZRcgX/EptN1vIDndSIsvjrh+JeBOft/NDAaQa6vQiicCeo+Lr8tM3eRzpsxPMbLviDvwKEO3uDpesvwK9re1Mtvc5CjuCVxyZSY8Juh5pUihLraZnk5+v+9NPqasiolsjAT0E6bCmh40auoJnU3x9pE61FaibXspxhYwXY7k5AOpO7yWZOTwg+VXo1tcZHymm8nfJyl8ormRglmrkArGJNxovMEAtZ2tlGbkIF/7RfR9G9APb4PQhUgPu+uYbhCBNC5qmUNcVCUYOiRJQlp2qdF3YepCqNgZWWeO4Jo90kcUztgHGMcVt8N/jHxydzCI2lrPwqLUEUtvMED8X0iyWbSRzoy8Uq6etJAnj+2k0ZkiVUML0ujpYE/TKRYWjYt0yk3F8Y70Ayfxnb89pqDF1NziiLiH2ACFrwczC7qu89jR7bwUKlB9vnqf5ThPwI/b7qDD740R9wA1Xa20+LrS+vxWnOxo4cc7X0SS4K6Fl1AT9wBkrolI9hk6Az7cwYBlmkfQIoIff723j5/B20d3saipjscnTCd3qHPwAWn6EmzT05gh6+bnvqFqN79rOUmWw8WdC9ZSmCRAqusa1FZB8Tgku4OgppFreqjPGGAbXJGiMxropl7GKdtiWiNbEp+ik5GD7apPR97m+71sbzjOm6EozOGW0/zryNZIIc6wpg/Taemg6zoTTiWKeO2f98KhrRZbJCE0qxJE4tUxRspNTjdd7iRJsowgmItuj+QUsP289yEvuRiA1rhOxpvrjvGtrf/lP5U7kErGI5/3fuSLPxodEHZjMkfwZTlhdmFMRg4fnXkWuQ43F4+bJbrTnuHI574P+VO/RL76c3jDThXAK2XR4tHuvt/Dlrgbujx+JsHQrJZD1/jjnte7ddOxbB44CqP3YFynLps4lysmzqfWnYk3SXGhHgzwyz2v8dfDm/jD/uQGBGaO92Bm1BsMxL2P/g7ccaYETtMMjC+YPOLd4uvi8codbKs3HIGOtTdGxH0qGkKudS1J7k93vvt4rzv9/qdyO11BP50BP/+q2Mq+5tgAVCBFr5NdDSf4n42P8fzxfWQGrD93p4Wgdci2yM/QKduYmF3EI1Pm8OXF57KhZBwTU6TtDTckmz21zbTPg08L0uTt5HWLdCddC6JXH0R78n60v30P7V8/Qtc12vwesk21gHIqb/5+QAj8UUHqi4BPCxLsLuoePyXlzorxsi7zdFLi6WTz6Ur8WpA/7Hkd29YXOPTM79G6s+Mcany9L4hJB333G0jdPWWZGWeddyed+z60Sz/Bz2cv5URmDjJSwrRnulw7eVHMe/NUdGuSG8obpw5F8i4xW4CFL0imm5xfkjln7PSYNIT3TlnC6jFT+clZ1/G+qSMzj1jQv0iZOUiSRMY574PpS/CuuJyDoQZr03NLRowNZDySOwtp/rlGz4vV1yDZHXhNAjEr4ItpjnO6q42NtUdjijq9QX9Mqps0a+WI/Xmki9tmx2O383/TElMFAbx+b8Rh5khrXcqHJE3X+c/RHWyuO5b28eOFuicYYH5THT/Y8SaT34oV1E5behH8Jyt38vzxffxx/wZOdbZQneaMwt4mo8lhS4r70+k0bTzj2d14MuY44WZd09uaWNpQS8CiuDjM345sjpg2ZCcZ11BqHXn+0vwLOX/sTL44/0JKwg41oe/07HyLItdhTDBFgCrD9D16oXofNXEpzPqrf0X714+iM5c1R+F0Fa1dbWSEvktBSUpZ+9gfjKxcC0GPcdnszMofw8mVV6AdV5GBLcpSViYMjBf4meDOImiK/n939zu8MmYCnj3vcE/dCWwhUduy4XEKzv/AgH+WfmEA0kb0yj3dDzKTmQs2B8RF8CRXJm3lUznaUAlAtsOF3Msb/risfM4pmx6ZcTFPRcdPU4fxBAMcb29ick4RmB8skkTwp+UW84PlV+PTAhSP1FQLwaAgFYzBdtVnyAQ+UX+cPY0nuWic0u12wxl57UfRL/wwUkgIdtlsZIb+RL6+dxM1S95DWWYu3mCAH+98kTa/lxUlkyOdXbt8XZSYBKX0nlsG/TMMNuE0jt35JbxbVMbKhrjIclwRbKvfQ2ESo4FXT6q8EJf+srBofEK6i5n4CL4n6OfjlfvJCfgNMXZ0l5FSRlwEXwuwsfYoe5tOccmE2YzPiga/NtQaxg06Oi+fOMCsNIXsm6cOcf7YGTGWizNySznUejryvtXvYQzJZ3UqWut57eRBlpVMjKSEWUX92/weJrW38sUD25CBV2x2WHxJwrhmb2e0c6+uc/uhHZbHzTPNyJmZnFNk3D8winTHZORQ29XGqjFTR1wxvSszN6kxhjsYZHxHGwFZpiYji/9U7uDTc84FjJ+/dmBTQi2JdrqKzrxopV6X041zgB/ohcAfBehxr98/dSnLSyax8fRRpueVkGl3Mm3CbDauvQlfUw0Ll12WuJP4KTdXFpIkYcstijQ3Ario9jgJHNkOI0XgD0TaiMlLOSBJbC4qY1X9qaTDpakL0E8egfj0Jqeb/xzdEXnb1xSXCaabkDkd4EBzoitCmEMtp5mcU4Ruuhhrfi82iHkgCUgyuY4MkYYj6DFLiiewpHhC9wNHAJIpymtOO8kJ+DnSVAsFY9nXdIq20EPyprrKiMD3d0avG10OJ9lnQEfnGXlRf3G/RZpOgsD3JRf4W+Ii93ZJZknRhNQCP6641BPwG+I+hF65Fykk8Cc1nGJa5X7eKS6ntrOVZ48bvQoq2xv43rIrLff/Vs0RcpOknTmCQT547AA2XeefkxROe9pZf+pQzKzNuKx8Mu0OdjYaTaLau5kd//nuV/BrQTbVVfKr1e/DbXNYevtXtjXw3YrdkZSNCw7tTBgDcLCphitOHGFVnXH/iu98fzQrl7dLyrk+ztTBCpsk8/VFl1Ld0RQR/SMJOYXxyPm1x7m6+jC6JPHzWUupcLii3W3bm5AsgmhVh7fiMfUb8g5C/w8h8EcFUYlf5M5iVigytnb87MhySZJYNf/85LuwOw3ni1ABiFQwxvh/1kr0jU+nPHp2Sz26twtpiH1u06KXRUupaPZ0kB96ff/MRRzMLUTSdc4yRafeKBnH4rZmcsqmIs06C33rSwkC3yvJMdPNVh7NPcFtj/55hwW+LxiI5IoCfExZxbG2Bl49aRRg14Smx7c11xKO0fi8nUbnvZgIviTEvUBgIj5f+VTDCZi6KCFqHCZgEmK+M6QgvTQjh/FZ+VR3NOO3eKDxB/xmp+ek+ekQm3YIENA15heOA13n0lOVFHo9vDV1LuNKJ/NOKMqekIMf1xFcbzCEtX54Gxe8+xwAs1sbeWBsVNB2lzbzQvV+y+WXnzwauSecysji+fIpbKg5Qqspgp/ndMc49nQEUgt8s2HC0dYG9jSdtOwBoAPFFh1Z43FVH+Cyk5WW6/bkFfHy8nWcXTYt7S6ubruD6aaHuhFFCgFeEH7w0nUuqjnGn7PzONxax4y8UnynqyyFtVRTySaXi7BvTnAQZr2FwB8N6OaXvZvykSQJ6bwPoG97CalsCtKqq4zly9+DvuetlBaPMtBWU0HupLm9OvagkqrJSi/xmKbxPDY7S4om8K9ggIAko0vw2ISZ+Gw2dhWM5QvzLgCMpht6nHd+TdzFvK9RD3PRWFjgrz91KHJDyXNmsLxkEtl2V0Tgh29eD1fujAh8PXQxC/p9kQiQJtuES45AYCI+2llRc4QGT0eCqPRrQRyyjYCnM7Is0Mu29yORG6Yu5b69rxNIFsF3RJenEvhdFkXKWQ4nn87IZ94JQ9CfUzKJqoUzLAX+qydUSk2/AwCOHyD41++BqbFjsddDwB97rHC01qr4NmiylSx2Z9Po6aDYncW6mmjw5vITR3m+fAqn4jra5jrddJq+R91F8M38q2Jrgl1oGDmuqPZETj6TLcbZ2pqT7j8rGOCOBRenfT4jHStnQSvmNTdg0zR+uutlvrnkPdhOHsLqkWZCVzsXmrpcZ+QOfNHx6J8TPCMw5XH2YS/yvDXYPvJd5HU3I4WmpySHC/mWH6F1I+Zahqmbjh5fHDUArh12043GJ9uYUzAWj83O36bM5u+TZ0faerd4u3jo4Ebu2/ManQWJeZrH9dhzXVk6uU/nZRb44dmAAyY3hXXjZ2OTZEpNlmm1XW1sOl2Jz3TzdWlBdF3HZ4o02ezOXtcHCASjETnOLzzX7+NAcw0t/liRGi5gNEfwg8PAQnCwUPLH8P1lV1qn6MSJ9p4I/EWhHPR5VVE7aH3/O7ENq0zR8X8f3U6Jx2L/tZUQVzQZ9MbmYodrmtq7ibCvHjOFX61+H99ZGutp35ppHb0tceeQbfoutKfovh6M+77FiHtdZ0ZrE9PajMBcXtx+krkYkeKBYn3Z5KTrRiUTrZuExuPUNea0GLMmr5xQ6TClNMczpSP6vcopHNu380sDIfBHGb0z1UqNJNuwrbgMHThVPo3DFi4wQe/AWlH2mmo19r1F046+4jJFR5aXz2R+YTl2i+nnE53NbKitYE/TKbb4YyNH0rqbOWa6mZ0/dka3PtrdYS5qOtxah6br1Jqml8OuBkXurIhYb/F18b/q22iyHHH4kAGCAXwmtwf7GSRIBIK0GDMl5m2u30dnwBcRqY5QsKEjJKL8XVGBr59h6W75rkyKTTVCYYIBP8saavi8uo15zfUx1yszmq7FROPznRm8d0pkzjFmrFngm7cJ6ho5geQC2owv7jzCkfWOFAIcDC99p82O7I293gctfOjPGzuDmXmlZJtmc1Kl6KRqnLWguZ4vqdu448A25jbXkx8n3JPZZmtJjvdGyTiOmextzwSkuWuQ1t4MoXu5x6JJZJjbD+/i7l0boOEEdCXWQFghTxz4jAeRojMaMF3PpD7F8JMjn3Ul0rJLGW934OlsoXLD44zbswFHSDBrA2xF2Vv0/RtjFwxAy3G76aaxrHwG+a5Mbp9zLgeaa1g9Zhrf3fZMwjZP6AHOcWWCtxNJWYk0dw17TJ0XF/dDEWJ8Cs2bpw5HrPskok2GbJJMeWYe1XGzMD7ZFv1sAR+aaepYto0sRwSBYKCRL7oR7W/fi7zP9XtpD/ho9Xbx6YM7mN3ayKMTZvCfyh3cPPOs2KjwANQGDXssriG6z8NHj+7DpuvMam3iC/kldExblmAX7AkGcAcCrGw4xamcAr605gPRfiBxLjIu0z3RLPAdsi3G7jAV7rj7RnvAQwnZ3abQuMKf0ZTyA5AVJ7Cn5RbzoenLjXV2cwQ/+f5TWYjeUBUNbL2v6iBPjp8Ws96e5D4oJan7+tfEmXx51tlJjzcakSQJaf456BNnQVsjNh1I4ZhX7PUw/+hepHS+U84MGDe9/042CSKCP8qw6mTbX4S737oz85i29mYqx0e/oEH/8BP4ut+HHt9oqgcdCdPFYfqDdoUcH+YVlvPeqUsoz8ojyyK9qcvuYOP5N6Ct/QjSxTfy8okDEXuyTLuTGbl9L0wqcmXFdEL825HN6KGnwUJXVozP8wemLUvoKhrT6MPvjelkywjrZiwQDDRS2WSkdTdH3pd5OukM+MiprWReSwM2XecDVQfZ3XiS/xzdGWvBdwbazOoW15CMtkZsJoFe3NnGXw9vThjnCfi57vgh3l91kM/s34x0qgJt95to6/8JVbHWma7/+zpLG2op8nbh1QIRG0mHbCMjvpGTJCc6ykHCg0BYeLd3c99zhdIz6YjNjXf5YoX7nJZGtBf+D/1URVyKTqoIfpLZaF2n0LT/Um8X+XHHs2uapZ2mlGRG4utLL2dabknScxnNSHklSOMVXJmpu/8CzDpdjcMim+FvC9aAKS1XvuTjMQ5cA4W4S48K+j/tJB10k3DVh2Ozq+MHEptc9bPA1/1e7KELpQZkWETipuQUs6fpZMLyhxqPE5i+nLMdLp6u2h1ZvrxkErZkOZI9QJIkrpuyiAfUdxLWjY3rmDkjr5TvLbuSJm8nTb5O2v1efLvejg4I+GJcdHS7uHQIBPFIY6ZEJlRntzbyaMV25rbEuprYtSAbao8ww1Tgacs48wQ+Fr7ortbYSPeUjhY21h+nM+CLmZHsCvpZU29cUx2ahvaPHyY9jNTVxicq9hCUJH6pLCGga9iQ6Qr4Y4S7dMGHkGatNHqA1FYS3PA4UijF051E4Jt7ikzIKuC4qcnVubXHWbB3M9qStZAVe72VTQ93Di3IRTvfRA/40I/uJvfGb0bWNfviioBNJEvRmWNPTJ+c3BFbU2DXNTRdxxZXRyVZpSxJMhOyE9OpzjhyE00vqqcuYFzDKaQWw42p2enCZdIcD02ZTVVmLlp+CbaLP4YeDAyKsA8jIviCXqObIg26b/gJfN3CLqy/Bb72xH2R1z7ZhtPipjUzhU3YoxXbePmEGpk6tksy105e2G/nl59k6v+icYkFRJIkUejOYlpuCdNyS/DGRfAl00OcJFJ0BIIEpJLxdIyZHHk/pb2V8Z2xOblf2beFMV0d2E3izZ6ZvJnRaEW3uFbmxzUWUlqb0NDZ3xTbEKs3FsI2XWduSz2+YABvMICOTqZZ4OeXImVkI9kdSONmIGfnR9bFR/AfPLiRI6110aZQwLKSSUzMNpxRZF3jA1UHcXa2or/1GDTH2nES9PPxEiNtZmxXB86wsO5spfBoNNjT5O0imCRSn0zgv9eeaO84pT12BsGhaZbbyxY/V+nij1ge50xDcrhoiW/wZXdie/9dkbdZfh+ZplmQXfklnMzMjlhKD6a4ByHwRwUWM22Dg1W30+FEh4VlWD8KfF3X4XjU89itBS2dZabmFicsC+PXgjxeuSPyflnJRDL60X4y15Eo8D8yYyVzClJX8Ltsdvwmga/980fkV0fdKazyZwUCAQRLosXxpZ7OhG6tE7ra+ejRfThMvuTOrLxBO7/hgpRGZ9PljbWcVXcyxv0LoCuYXnFsPJmBAG1+L10hQR0j3ON9z03BkfgIPsD9e1/nWHt0xqHQlUlu6J5YHOfOo586krD9smf/yJ3j53F7SWzTKPmlh1jbaDix6Og0JYni+7UgxZ5OLj9RwYSOVrICfj6jbqfsrccSxhbHzWTbtSAB3ULgm9Iw26cuRLrkY0hzV1se/0zEP3F27AKHEzLzCIbqPLKDgchDowZ0hQT9+6YuGczTjCDm2Ucdg2ddKJkFfjd2YUNCnNUZ0L8R/CRtrOMZm5n+zXtG3pjeno0leXER/HkF5ZxdNi3J6Ch2SabDfAOOe4Ab7EiEQDBSsJv+3i8xeZ+bmdzRygHT35ArK3+gT2v4kWaQ4H1VB/lt+XQwmbd54/3r0yQjGOCe7c/xMWV15H0Ed7zAd5u2S7xvdAb8HDY1yipwZZITut6Wd8XdG6qsm19NfvuJiEuLmWuP7KbSvoRDuQU0eDootqjRCGhBbq7Yx9SOFs47Xc1pVyZTrYJaFjh1DU9oZqAr4KfJ20F5Vj4208/DM2sFebPOSmt/ZwqO+N+Dw4kky3Q6XeTEPUT5nG7uWnQJLpud8iH6+xYR/FHB0ITwJdMFML44p8Pv48Xq/ey1yD0fLPQOC4Hfjy46/jhnhGRk98BSsq/e9/FkxkXJJuWk11xDkiR2FSeP8qcTfRMIzkTsWeml22SZ8p0dZ2CKjpTmTGWGFmRK1f5I1B3Al0TIyh+7B8aaI+IS0tw1kXeZwQA+Lcgf9r9p7NuckhIfwTe9v+JEBXkhATe/sNzy2IWuLIpdWUi6zrXVh9P5aFB7DGqOWq76kroNdyBAvcfadtGvaRFBnx3wpy3uwSiyDQQDtPq6+PrmJ/jutmd5/vi+GIFvH4CeMSMdR0ZsAbYU+hn5Le7xttwipuQWD5m4ByHwRx+D2HtINn2p5bjinP9W7eaxo9u5b8966tL0he13rLr69WMEv72ltt/2BbCqdAoOc957PyDFpQxN74ETwt4xE9mfpNueyMEXCKxJN90myywuMxKdW0Y7qYIE8ke/F5P7Pb+lnjqT0K1rtr72SgVl2D74DeRP/xrp7GuRr/o00ryowI8R9LoeG8GPr1cyBbBs6HysYi9gmCAkHBej3mlN2TQUn4+SZH1hMnKQv/AHGGsxizppHtJZV8UsGuPpoC1J+qu/OzvGIusHETCE34vH9/CVdx+PdM59vHJHTJGt3XUGWrd2g9Md66QjhXoWaHmJabiOy28flHNKhRD4o4EhSsK3mS6A8cU5r5403Ad0dF49eWBQzyvCAKfodLVYFPEm4f1Tl3Y7xjVAaS/vn7oUWZKYX1jOrPzEDrrJcNod/G7GAp4aNzVhnYjgCwTWyPFNjPJK4dovJYzLNc96noE2mTbJOpjRkF2AVFSONG1RZNnUthY6TRHq+riiWwBM4yV3FvLKK5CmL4mJxJeZ06K0II7wvdNmT3D1keJE28QOo9lVkSvxYazYnY0c9JMH3DohSQOjgjHIn/oFks2OVBCXiul0I1/7eaTll8Yszgn48QStC4oDVo43rkzkz96P7X/+F/mCD1qfR4hNpxJnGZymgl6nEPgJOOItVEOzULkrYjsVvzxmIraige9U2x0ikXbUMXghfJsp4hEW+O/UVnAibqpQG4LnD13XwSpFpx8Fvi8uRefotIUka11xfvlMJmQX8If9b9GWxDvZPUBR8QvHKawpmxbje58OLtlOQLbxfPkULsouIkuN+lHLQuALBNbEWV5Ks89Cyi1MMDMO2+sGZRn5DOtkC+ApKqfZ4SQ/Lr0z4DbuK1JWHk3Z+RS0N2NDJ9h4CsZMoSvgI9AVd23PL00uaE259Wbf+7PqT0XHZOcnzHYyeR7SkrXo214ydqMFkXWNIouHsbk6aL//Eug6mfPPsUyalUomRI8RH/EdryDJNpBtSHNWo+8zLIpz/D68SQS+Ze+ZsVORwvfl8hmQkQNJugHbNQ1Cz1g2TSMoyzhNKaxOZ6Ibz5mO5MqM+d0GQ/fUjKkL+OG517JE3Upm0E/F7BVDc4JxiAi+oNeYp/AmNNXyuw2P8uDBjbx0IragSDf9SWj7NxL8y7fQNj8/sCfn9xje7fH0o8APtjdHdwtMuii5nZgsSczIK+Uzc89lSk6iny6Yuh4OAD0V9xA7o3AyLu3A1o9OPwLBqCJOAErjpkOKHPuu3KJEcXkGYHc4+P68s3hu7OSY5QFTlNRreu0Pzcg2ejvJM9kyS/PPRf7YD5CSuZWZIviSydZyfnN9dLkpTz+yTLYhn/8BfKZU1DuPHSLX4cRuKoyVNY0b3nrSMCII+NC3v2J9Huac9jjrZKloXPSN6buS6/fhSZKKY9V7RjJZtEp2B/ItP4YkHvYOTUPWNb54YCs/3b6exY21OE33xzPxobNb4n4mAVNK7Udmr+GZybP525S5nDul/6yu+0K/RfAVRbkY+DqwEHAAW4EfqaqatpJTFGUm8F1gDVAEHAb+BPxGVVUtbqwdaAeSVTCeUFV1fJJ1o5dBvFHY43IWlx7cxo7p8xPGmTvm6ev/CZ2t6G8+ij5uOlL5ALVrNkfvswugPdSApB8FvmTK8T+44j3MNfkmJ2NKTjFfXXQJP9j+fIzFGoB7mDnTFJhujL/Fz49kGaem4ZdktDOxMY9AkA7xfxtlUxLzu03YSyYO8AkNT+ySTKfdwY6CEt5zqjK6wvSAFDRF3zcf30dt6UTGZ+cz1ezrXjw+9QOS3Wmk4AQDEAyw0p3Dpq5WckwBIGnyvKSbOzJyIi5iE+uqkdQtnDt2Oq+eNGyDY849FZOjqTvS2CkxkWCpbEr0jaljanbAR10Sz3+rCH7855AcTuT3fhnt4e9A3EyAQ9dY3FjHzLZmAG49sge/2dGnB+YQZwpSXAPK8SbHrHFZ+fxwxdX4tGDMvXMo6RdFoSjKzcADgBd4FWPi5wLgOUVRPqmq6h/T2MdC4A0gF9gAbA7t49fASuDGuE3mYIj7I8BGi12mZ3EyGhiiHPzM/Ng8wqVNpzlw+gTn1lVT4PXgtdk5lpWDOsa4eOkBf0xevL7z9YET+Ob8++z8qMDXdXRdQ7KwJgvj14KsP3WIms5WLhk/m5L4nNoQNlPxsDNNd5owuRbRkYHKwe8tF5TPZHOdYfPntdn5yexlXFxTxa78YuYPkwuYQDDckGx2pOWXoW97CWnZOqRu/lYyxibWuJwJ2EPRzxNxD0TFpplM3ST2swN+Hq/cyTWTFrDcNHsqjZ+Z8jiSJBlR/NA94aNvPsEVmTkUmRuQpQhYSO4saI1G+/Udr/D+D36DuQXlvHziAKvVHckPPm0xNNVAwRijHiC8z4Iy5Ks+g65ugvxSmGaK+Joi+Dl+X9IcfN0fu1y67DakcTMSxkmFZcgf+gY01xF86zGkUP1CgdfDJyr2xIx16OE4qmQ8FAlS4orTEVkOF8OpXL7Pv0FFUcqB3wMtwBpVVfeEli8HXgZ+pSjKM6qqnkixDwl4CEPc36Sq6iOh5SWhfXxYUZTHVVU1d3AItxR7QFXVe/r6OQQ9Jze3iI2LL2T59lcjyz58LFpQmx0MUOTz0Fp1EGauSsgF1K2KYPsLcx1AVh7Itmj0PhgEe3KB/9DBjWwKCds6Txtfmn+R5Ti3yQc/My99dxqAfIv8xoHKwe8t03JL+MC0ZfzjyBYATmTm8JepRhRqsSyy+wSCZMjnXI9+9jVGXnV42RW3o/33dwljpUlJijJHOfbQNUSLu5a4TddSKcMs8H3o6FTVV7E2lLcfsDlwmtNbkpFbHBP0KeqMy0uPL54044hLR2w1zBXmFZYzr7Cc4Bv/SbqpNHE28tWftV43fUmM6I8sz8iJRPdzA9YpOm0+D1tOHWJl6H1TwRiKZ61MGBfZZ8kEKJmA9O5/I8u+cHB70vGMmXRGpo31mGFQSJuK/rhLfxYjkv6LsLgHUFV1M/AjwA3c1s0+1gILgNfD4j60jzog7DX0+bhtwgJ/a+9PfbSgW7waHM664MOsn7U85ZiihpAXfvxFtRftxtNB17SYG6mUmWsI/OiApNsGNS0StQY40FxLe5Ki2ExTY4uc/FLLMcnIs4jgu+3DL2JyQflMPjAt0QGov+08BYLRhhT3NyLNXIYUJ8Lk937ZEF9nIOZryP0zQhFsVwbSwvMjy2VTNHtFQw3Zfh91DdFYoS8rJyFtwgp51VXJ01dlW8oUKgJxAruzFT0ULNI9HZDMEhMScrbTwjQbPKGjDZ9Frv1fDm3E74seV0vX9CCN3i26JCNffFN6+zsDkd/7FRg7DWnNdUgF6bvSDQX9IfDDvk5PWKwLL3tPb/ehqurbwGlgjaIo5lwJIfDDxCTzDf5T96pzbiCQIl9P00IXyPhq/iRTj30mvi24OytW4KdodlXd0ZzwkLSn6VTCOI+3M+JjrQFZOUkKvJIQ32EWhl8EP8xsC2tNIfAFgp4jnXWl4U8+bgbyZ+5Hmjh7qE9pyLCbbDL35Rfz0hW3It/yEySTwLWbBH6x18MXD2wjx9TFVk+zQZg0ZT7SZUnijO6s1NHqeLMGXYdj+9Bb66ElmrpD4ViIS1uVUj04JKOonGDoZ5AVDDChIfb+0xXwsbvxZIylpZ6uwO8mnQnAdv2XYop1BbFIE2dh++DXkVdcPtSn0i19Evih1Jo5GBrHqhfzwdC6uaGxyQjPUe5Jsl7FONc5puMuAmqAqxVF2aQoSpuiKHWKovxdURSlxx9G0Gsycgpx3vgtSNKxzefzEtS0xJScgYrgm/IzAXBnocmmr1+KQtvtDccTllVZRD1aWk5HXnc4XNhsPRO8VgJ/uOXghynNyMUZJ+jtSTysBQJBcqTCsdg++j1s7/8q0hnuM26Pi7xn55Yk/EyK4/ziyz0dLDC532Qkc86xQFZWIH/+94lBsFTpOWDpxqY9/ku0B76BXrEzujCvGKk0bjbG1fMIviRJ6FOiZhWF4fqxEAdD9x6H2fHGnl5BrBzXSCuBCbOQJs5J80wFw52+KooCjPScOlVVE/4KVFUNKIpSD5QCOUCypOtwIlNiqDR2efivfSpGvn4u8AeMotzXMKL6HwAuVxTlPaqqbujuA4QKhG/ublyIRWmOG1T0QU/MSUQqKEP+6PfQ33kiwSZsecMp3j51kLMHK4Ift99TZVPICAaI1Ltr0SlXXdeof/EBaKnHfeGNvHwisSlXdUdzwjJzk6suVwb5PTzFXIs24MM1gi9LEuOy8jnaFv3MDpGDLxAI+kB8kGOZhZuQLa8koX/AssZokytbkqBSMiS7wwhEmUVzd45gWXnQUpe4PBhA3/hUdN+5JYn76k0EH5BNjmx2vw9d1yOzDFWhczdH8PPT/DlIJeNh+hI4vC26bN3N6Hvegoxs5HUf69X5CoYnfb1Lhx99O1OMCSeKpfor6m4/8fsIp+ecAJaqqnquqqpXAVOAn2E8TPxTUZR0Hp8nA+el+S+9HuRDiDSIja4Sju3ORFp9reU6ed87EB9ZH6AIPqbceCbO4cH6owRNURvtn/eibXkBgGNvPUbh3rcprD7IvpcfxB+Kiph9jtWWWmpMlpgAflNU39NdBMiCSTmFTMiK+hOXZ+ZRaNEhcbgwLu4GYhcpOgKBoA8UuDJ575TFzCsYy9cWXWIZ4JAKypCWrotZlmFOsczqxS053he+m+u3fMGHkq80O9jlFSNNibOJ7qXAt5nuBRkBPwFT3VhXaEbB7Flv64GlpVQ+LfomKx9p7tnYPvA1bFd/LqaoWTDy6WsEP/wNSyeEnOphIt39hPfxGDARCKqqejK8MjRjcCdwPrAUuAb4Rzf7rATWdzMmzCKGociXhsgm04pk084FddXoZlsyGDiBbypKOp2dT1V7E5p5WralHv2Nf6HNWMrYkNAHWHaygv8bZ1h6rh0/m/WnDtEZupg+dWw3t82ONkPRTFF9f0bPhbksyXxt8SU0eTtp83kYl5WPPIxdCyZnF/EW0doGkYMvEAj6ytrxs1k7PnUdgnze+9EWnI/+wNcTV2all4MfQ06BkdwbortCSWnMJOSP3YN+eAf6m/8mmUyR8oqNngd2p5HWY3dCdi/lgslaNSMYoMXXRXHIMrQrNEPtMEXwE5x+UiDNWY1+4F0I+JGv/HRKy2jByKavAj/sE5jqMTW8rj3FmO72E7MPVVV1IDFZ2linKYryLIbAX0o3Al9V1QeBB1ONCaMoyusYkfxhy7CQ+mVToOZozKIJ9ScTcxkHKkXHFMF/t/kUZE0laHERO1Gxk3LTw1GrqVBpTmYe3pKJvHrqMAA18fUDpoh+IIlPfnfYJJlid3bkwj2cmRVXPGYbxg8jAoFgdCHll+C12XHGWUZKxT3vZSnPPRutYidIMpKyAmnFZd0fv6AMafml6GOnoKub0St3xxbYghHBlyTkG+5E3/oi0owlvSuyxZgND9+ZMoIBfrbrZW6fcy4Tsgo4GvLkN0fw6UFncSkzF9uN3+7VeQlGFn0V+K0Y4rxYURS7qqoxf32hbrPFgEdV1eYU+zmJER0vAxKToLvP0Y8n/Hx+RnTjGRai3oS87mNof73b6BwYItOiUKknEXz95GG0DY8jTZqL3N0F2RTB94YKV4MWgtS2L7ZEozlkaXb5iQqmbX6FyeXTeWdMOe5gkAZbh9GRt7kW/e0nmK5ujp5bmk4OIxnzQ4gsSeT28sYlEAgEPUWSZNpyCylqipobaLINWy/cXqSpC5E/+QuwO4yc/J5sO15BGq+g6zr663+PrTcLFfxKZVOQLv9kj88rhrgIfqO3k/v2vM7ZZdOo62ji0poqrjpRER3fw88hODPo09xMKJK+F6NzrZX/khI6xu5udhV2z0ko3w455szCSOPZF1r2GUVR/qkoysVJ9hfu+1zdzXFHH8MgsioVj0O+6btw2a2pB2pBdC25J33M0H/eC8cPoL/1GHpTTerBpgi+N5RKYiXwx9Qei3nvDgb4zMEdXH7SmH2wnTzMz7a/wT27NrCo5hidAT/a6/9EN4l7ALk3eaAjDEmSuHPhWhYUjuPG6SvI7EHESCAQCPqKL24WsWlJstt/90juzB6L+5jtJQlp1dVRIZ5fanS87S9Mqa4ZIR/+Vr+H547vZVlDbay4hx6l6AjOHPoj+er50P/XWKwLL3u2D/tYDZQAb6mqGrZhmQrcAHw0fnCosPZ9obcvxK8flQyjHPwwUmEZ8oxl3Q9MN03H/BnrTyYdpu1+E33Pm5H33rB9ZRo/olJvF3NN7jhmVjTU0OjtgKO7EtbZTI4Ho5lpuSV8Zu55nF02rfvBAoFA0I/Y8mO7hduHOLAiubOQr78DadmlyFd+pn93borgZ8alJY01dVCPnMs44QwuSKQ/BP4DgAe4S1GUSMtLRVGWAXdiOOD81rR8mqIosxRFMf91rseYCVirKMqtprElpm1/Zhr/vxgR/Q8rinK9abwDuA+YBDynquo2zjSGPoAfQbLZ6ewuspBGmo4e36o7SXdAvaUO/eW/xCwLC/zWPnpOj+9s41Sck04Ye26J5XKBQCAQ9A8ZcRF8Z7wbzhAglU1GPvd9hv1kf2K6X+XpeuS2vqjxNGtrqmLP4Zz3IZVN7t/jC0YFfRb4qqpWAndgeNK/oyjK84qiPA+8jWFXeZuqqqdNm7yC0RTrWtM+NODjGEW0f1QUZaOiKP/BaHC1APiTqqpPm8bvA/4n9PbfoUZX/wYqgFsw8vhv7utnGzkMvwh+mG4tJNPJw++IE9Ymwa831qB3GhM7etWBhNkMj2zk4DtXXUV1XnGCp3Iy5A98Denij0TeZwcDZL78cMK4d4vKcBUO73bVAoFAMNLJLhwb8941DAT+gOFwR9JtpYCPi8fOINvv47YjsdnOgYs/grz80qE4Q8EIoF/8kVRV/S1wJbARWAMsB94C1qqq+kia+9gErMSwwJwBrAOOAZ8CbrcY/2tgLUYazgzgCgwf/XuA5XEPFWcQwyiED/i7K0BNkaKj6zralhfQHvx/sStCBbvaztfRHvwG2h/vQHvz3zHONmG8Nhsu2c7MWauY9IkfseesK2LW/+/UuXjiLB/bMnNh7DSkeefELJ9dUxl53eL4/+3debxdVX3//9fJPJIACaMgk3wwCEQIKhCFWmalMli1Im2cUH4OP/35/TlWq1TbL9a5Fa3Yn3wV29oWHKCaVqlBKaMDCoIfpQoiqAQ1hARCILm/P/Y+ybk359x77j03uefu/Xo+Hjz2OXuvvfY+yeLmfddZe60ZvGbZs/liHMVuY5xFR5LUnakLhgzRqfDQyEajAS1z4Z+9+0G8eWDbqYmnV/mXHPWs11l0tsjMq4Cruii33zDHbgeeP4prXk3xjUC99W8HPo35u8CQh1kHGaYHf+DWbzHwrX/Zdv/jG2FggIEby+a2eRMDN3+tbR0bpkxln3k7b5ljfubUwU3++7vswTn33MmslinHHtj7IBY2GsM+sLxu2gz+LI7hoJ12c054SdrehobZqnes7Lwb/KqYXbzxm7tY9NNtRxw3ZtViokCNkSscaLuatnC34Qt06MEfGBhg4KZ/b3/OYxsZuOYLg5cb72DDtGnsO2+XLe837v0kNk4pmv3Nu+zO8/Y/gseGzKbQ2HnwWM92Ns6cwzG7H8BiV/6TpO2uMW06jUOeXrw56EgaHZ7FqorG4n22vN589WUwdC0WGPQwrjTUuPXgayL1bxf+wl33Hr5ASw/+wLo1DNxxPY19l8DsubC2/Yw2rL6HgR+uGvHaP1y4iLXTZ7L//F237pw1l4/EkRyw7kFu3HUP/nqv4P5pg/83mN1FwH/MnhNJ2qEap72ymJ5ypI6jKmgJ+LSsnD6I65FoGAb8Chgc7/trDP60BYu3ebD1kSlTmV0OiRn4+a0M5M00Dj+eTav+icYv7mDzjFlMOeFPtp7whICNj8D9xewBg8L9rHkwsBkefXjLrnX7H8aFCxaybtp05k6bydJdt85wsOusedw1bwF3lUuIz5w6jceGzOk+f5etv5Q0nvFHDNzwlW0+1yZ77iVph2o0GtBFB0wVNHbfb+SuOzuaNAwDfgU0WmeO6a98D4u27cFfP206szeWAb8chjNwy9Vbbr2xcQMD//mZLeUbi/aGuQsYuP8XQ6uiccILYd3vGbj2inJHg18tOZZ1998JwAE77cqMlnH3+8zbmRP2PJhc82tecGAxq+u62fOhZYXEuS2zNTSWndI24D9ek39kJEkTYPf9YMFieHB15zIuOKhhOAa/Avq5B78xay6Pn/XGLe9/P30m984ZZe/3oid0XIq7MXs+jWWn0oinwbQZNJ71AtbsvHW2hdlTtz3vTw5axruXPZclOxdB/uHDnrXl2MOz5zOlZQ7ixoxZ3LP7vtvUMX8vF3uSJG0fjUaDxqHHjVhG6sQefG13M/d/Cq8/8ngOXvt7fj5vAUf/9tccseaBrs+/Z+Zs9um0Wu/seTSmTKXxnFdt2fXofT/d8npWm4A/1DMOXc4Djz7M3DtvYd7Rp21zfPP0bR/m2vMJT+7iziVJGpvG4ccXs8WVa780jnkeA9d/eYLvSpOFAb8S+vch26ZTDziKr9z9A568cA9umDmHM395J9M7hfYhPvbrn3DGY4/zzHYH2yyktWHz1gd3h06L2cmiI0+GI09uf3D6zEFvfzdrLotHmt9fkqQeNObsxJTTz2fzD75J48nHMOXQ49i88REGfvIdGs96wUTfnvqcAb8CJsOXdKfveyjH73kQc6bN4K03fYkfLVjE0jXDjC0s/XbGLNZNmcKP1/++Q8DfdrjPo49vXem224A/rCHTsa1fuJjFHYpKkjReGk86iqlPOmrL+ynHvxCOf+EE3pEmCwN+BQzqCO/jMXlzy57wGVOmsnZ6dw8HNcfrb2y3mFRjCszcdpqw1h78bobojGTKkGtMaZ2+TJIkqc/4kG0l9P8QnVYzpk7j27vtvWX6zFsWbtsf/puZs3lgxiz+c48nAvDYlDZNddactg8ZPbppfHvwd56zcND7xU84pOc6JUmSthd78CtmMkT96VOm8vM583n/kqPZ6bGN3DV3J5besnW4zq0LFvGJg48YdE7bHvw2w3NgcMAfjx78+fN3GfTnOuuAw3uuU5IkaXsx4FdByxidPh6hs8WMKUWz+8Xc9g+q/nbmtrPWPNyuJ77NA7YAGzaN/iHb4TT2O5SBGbNg4wYaJ6+g4fLgkiSpjxnwK6f/E/6Mqdv2xn/gkKN4Q36PTY0G/714ry37F82aywMb1rN61hzWTJ/Bwsc2bjnW2HWvbeqB8e/Bb8zfhSkv/asi4LvAlSRJ6nOOwdcON2/azG32/Wz+Qt629Jm88/DjuHfO/C37X3foCQAMNBrcunDR4JOeuKRt/RvGeQw+QGPuAsO9JEmaFAz4ldP/PfjH7/Wkbfadtd8RzJy7gHUts+vsO29ndp+9EwftVDyEe/UeT+SR5lj8aTNo7LPtYlO3/e4+frHud1vezxqngC9JkjRZmH60w+0/fxFPmLuQX65fs2Xfqfscyqn7HArA+sc28ot1v2P/nXal0Wjw0jiGd9z8Fe6fNYcPPfkoXrx+PQcuPZFGS08/wNqNG/j47dcM2jdzHIboSJIkTSb24GtCnPKErcNrjtv9wEHH5k6fwZN33mPL+PlFs+bxggOOBODeOfO56fBn0mgzk82vH36QzS0PHO8zd2cWzth2nnxJkqQqswe/CgYmw+SYgx21eF/uXLuaNY8+zBlPPGzE8rOnbR260/oQbat1jz+65fWcaTP4X0ec2HaefEmSpCoz4FfMwCTJs1MbU3jxQUd3XX7mlK1NtVPAf+ixrQH/qbvuMy4z6EiSJE02DtGpgknYgz9arVNrPrq5Qw9+S8CfP33bmXokSZLqwIBfMVUdktLag3/v+jVsGti8TZnWgD/PgC9JkmrKgK9JoXU2nAc3PsIHfvANBoZ8c7HusQ1bXhvwJUlSXTkGv3Kq2YO/aNbcQe9/9tADvPraf+IJcxeycMZs5s+YzU2r795yfP70WTv6FiVJkvqCAb8Sqj8Gf+70mew9ZyH3Prxm0P5frl8zaD79JnvwJUlSXTlEpwoGWl9Wswcf4Kz9j+i67F5zFmzHO5EkSepfBvxK2JrwK/qMLQCH7bI3Ry3ad8Ryf3Hk6cyY6pdTkiSpngz4FVD9ATpbHbDTom32vfmIk4gFuwPwnH2ewl5zF+7gu5IkSeofdnNWQIU77bexbNG+fPHnt/D4wGbmTJvBXxx5OgtnzuENhz2bRzc9NmjFW0mSpDoy4FfCQMurasf9hTPn8JalJ3Pv+jUcuWhfZpZDcaY0GoZ7SZIkDPjV0DpGp9r5HoB95+3CvvN2mejbkCRJ6kuOwa+AOo3BlyRJ0vAM+BXQaJ1Fpw5d+JIkSerIgF8BA3bhS5IkqWTAr5gBO/AlSZJqzYBfAQ1H4UuSJKlkwK8cu/AlSZLqzIBfAY7BlyRJUtO4zYMfEScCbweOAKYD3wUuysyVo6jjYOA9wHJgV+BO4BLg45m5uYvzPwm8CnhpZl462s8wedVsInxJkiR1NC49+BGxAvg6cCxwI3A9cBzwtYg4v8s6jgBuBl4E3A2sBPYBPgZ8tovzT6MI97XT6PBakiRJ9dNzwI+IvYBPAg8CyzLz9Mw8hSLgrwU+GhF7j1BHgyLE7wScl5nLM/Ns4GDgh8C5EXHOMOfvAvxDr59lsmrtv3cWHUmSpHobjx781wIzgQ9n5m3NnZl5M3ARMAsYqRf/JOBwYFVmXtZSx2rggvLt64c5/2KKIT03jvruq2DAha4kSZJUGI+Af2q5/VKbY819p421jsy8DrgfWB4R84cej4g/AV5IMXb/tqHHJUmSpDrpKeCXQ2uWAJuBO9oU+Ul57NCybCeHlttOAT0p7nXJkOvvBXycouf+ou7vvMLswJckSaq1XmfR2ZlieM7qzNw49GBmPh4RDwC7AfMpxuS3s2e5/VWH4839uw/Z/w8UQ4D+LDM3RcRo7h3Y8oDwii6LLx31BXaIgTavJEmSVEe9Bvy55fbhYco8Um7n0Tngj1RPax0ARMQFFEN73piZOfKtdrQfcHwP5084Z9GRJElSU68Bf1O57abjeLjhQN3WMwUgIg4C/gb4FvDRLq49nLuAa7osuxRY0OP1xt3gPzQjviRJUp31GvDXl9vZw5RpHlvXQz1b6oiIqcD/oci1KzKzp1Ep5YJYl3ZTNiJW0Y+9/S5lK0mSpFKvAX8tRThfFBHTMvPx1oMRMQ1YBGzIzDXD1HMfRe/4HsCP2xxvHaN/FsWCWj8D/nLIuPtnlNvzy5V1r8jMK0bzgSa7gYY9+JIkSXXW0yw6Ze/5j4CpFItSDRXlNW4doarm7DlLhh4oZ985hGIYz+1sHYd/AHDukP8OLI8dU74/vMuPMqk5Bl+SJElNvfbgA6wEngacSRHAW51Zbr/aRR1vLstfPOTYscBi4JrMfIhiOM2l7SqJiE8DLwdeWg69qQUH6EiSJKlpPBa6+gywAXhLRBzV3BkRyyhC+yO0hPaIODAiDomI1odVr6H4JuCkiHhlS9nFLed+cBzutZocgy9JkqRSzwE/M+8C3gTsBFwfESsjYiVwHcXc9+dn5v0tp1xNsSjWWS11bAZeRvEg7qci4oaIuIJigavDgUsy88pe77UWHIMvSZJUa+PRg09mXgycAdwALAeOBq4FTsrMy7qs4ybg6cDlwJOAk4G7gVcDF4zHfUqSJElVNx5j8AHIzKuAq7oot98wx24Hnt/DPbwCeMVYz68Ge/AlSZLqbFx68DXRHIMvSZKkggG/cuzBlyRJqjMDfgU0nEVHkiRJJQN+1diBL0mSVGsG/AqwA1+SJElNBvyqcR58SZKkWjPgV4Jd+JIkSSoY8CvHHnxJkqQ6M+BXQKPDa0mSJNWPAb8CWh+ydbCOJElSvRnwK6El1tuFL0mSVGsG/Mox4UuSJNWZAb8CGi09+MZ7SZKkejPgV8DAoNdGfEmSpDoz4FdAwyH4kiRJKhnwK2DQzDkmfEmSpFoz4FdAw8kxJUmSVDLgV4xRX5Ikqd4M+FXQOga/4RgdSZKkOjPgV4C99pIkSWoy4FdA6xh8p8mUJEmqNwN+xRjvJUmS6s2AXwlOhC9JkqSCAb9yTPiSJEl1ZsCvAp+ylSRJUsmAL0mSJFWIAb8SWrvwHaIjSZJUZwb8inGdK0mSpHoz4FeMw/ElSZLqzYBfBQMO0ZEkSVLBgF815ntJkqRaM+BXQKPDa0mSJNWPAb8CBo+7969UkiSpzkyDFdAY8NFaSZIkFQz4VeMYHUmSpFoz4EuSJEkVYsCXJEmSKsSAXwEDLm8lSZKk0rTxqigiTgTeDhwBTAe+C1yUmStHUcfBwHuA5cCuwJ3AJcDHM3Nzm/LHAO8AjgVmAz8D/hn4QGY+0tMHmqwa/s4mSZJUZ+OSBiNiBfB1iqB9I3A9cBzwtYg4v8s6jgBuBl4E3A2sBPYBPgZ8tk35k4FvA88BfgL8B7AQuBC4LiLm9/KZJpOGHfiSJEkq9RzwI2Iv4JPAg8CyzDw9M0+hCPhrgY9GxN4j1NGgCPE7Aedl5vLMPBs4GPghcG5EnNNSfhbwTxRzxpydmc/IzDOBg4CrgKXAm3v9bJIkSdJkMx49+K8FZgIfzszbmjsz82bgImAWMFIv/knA4cCqzLyspY7VwAXl29e3lD8d2AW4MjO/2FL+EYoefIBTx/RpJiW78CVJklQYj4DfDNJfanOsue+0sdaRmdcB9wPLm8NuMvMKYF/gdW3qag7NeXyEa1ZSw3nwJUmSaq2ngF8OrVkCbAbuaFPkJ+WxQ8uynRxabm/rcDwp7nXJlh2Z92TmPUPuZw+Kbw0APjfiB6gKV7KVJElSqddZdHamGJ6zOjM3Dj2YmY9HxAPAbhQ962s71LNnuf1Vh+PN/bu3OxgR/w/wR8AxFOPy35eZF3fzAcoHhFd0U5ZibH9fG3DmU0mSpFrrNeDPLbcPD1OmOV3lPDoH/JHqaa2jnT8GnlG+fhTYJyIWZeYDw9xX037A8V2UmxQcoSNJklRvvQb8TeW2mzEiw3Utd1tPpzqeD/wWOAT4a+BPgadGxJGZOdJY/LuAa0Yo07QUWNBl2YlhwpckSaq1XgP++nI7e5gyzWPreqhn2Doy897y5S0R8UfAdyhm5fljiuk0O8rMS4FLhyvTFBGrqFBvvyRJkqqn1wHbaynC+aKI2OaXhXLfImBDZq4Zpp77yu0eHY6PNEZ/i8x8DPiX8u1TRypfCYMesrULX5Ikqc56CviZOQD8CJhKsSjVUFFe49YRqmrOnrNk6IFy9p1DKIbx3F7uOyci/k9E/GGH+h4tt9NHuG4lNDq+kSRJUt2Mx5QrK8vtmW2ONfd9tYc6jgUWA9dm5kPlvqAYZ/+qDvU159X/3gjXrYTBDy6Y8CVJkupsPAL+Z4ANwFsi4qjmzohYBryZYgaci1v2HxgRh0RE68Oq11B8E3BSRLyypezilnM/2FL+c2W9fxwRL24pPzUi3gP8IXA38K/j8Pn6XqPDa0mSJNVPzwE/M+8C3gTsBFwfESsjYiVwHcXc9+dn5v0tp1xNsSjWWS11bAZeRvEQ7aci4oaIuIJigavDgUsy88qW8vcAr6YYtvP5iPhuRHwJuBN4F7AaOCszN/T6+SYHF7qSJElSYVxWRSoXlToDuAFYDhwNXAuclJmXdVnHTcDTgcuBJwEnU/TCvxq4oE35zwLPBL5CMZf96eWhvwOWZub3x/6JJEmSpMmp12kyt8jMq4Cruii33zDHbqeY077ba14PPK/b8nUw0HCQjiRJUp2NSw++JljLNJnGe0mSpHoz4FeNPfiSJEm1ZsCXJEmSKsSAL0mSJFWIAb8KBpwmU5IkSQUDfsU0HIMvSZJUawZ8SZIkqUIM+BUz4ESZkiRJtWbArwLH4EuSJKlkwK8Y++8lSZLqzYBfNT5kK0mSVGsG/Mox4EuSJNWZAb8CGgy0vpEkSVKNGfAlSZKkCjHgV0zDLnxJkqRaM+BXgbNkSpIkqWTAr4TWhG8PviRJUp0Z8CVJkqQKMeBXjR34kiRJtWbAr4DGgIPwJUmSVDDgV40r2UqSJNWaAV+SJEmqEAN+5diDL0mSVGcGfEmSJKlCDPgV4xB8SZKkejPgV4Gz6EiSJKlkwK+ahn+lkiRJdWYarABH5UiSJKnJgF8BAzhER5IkSQUDfgXYgy9JkqQmA37lGPclSZLqzIBfBS0jdIz3kiRJ9WbArxonwpckSao1A34l+JCtJEmSCgb8qrEDX5IkqdYM+BVgppckSVKTAb8CBg/QMe5LkiTV2bTxqigiTgTeDhwBTAe+C1yUmStHUcfBwHuA5cCuwJ3AJcDHM3Nzm/LPAN4CHAvsDPwW+C/gvZl5R08faBJpDGyN+A0DviRJUq2NSw9+RKwAvk4RtG8ErgeOA74WEed3WccRwM3Ai4C7gZXAPsDHgM+2KX8ucC1wJnAv8O/AWuDFwHci4lm9fKbJZFAPvvlekiSp1noO+BGxF/BJ4EFgWWaenpmnUAT8tcBHI2LvEepoUIT4nYDzMnN5Zp4NHAz8EDg3Is5pKb+ovGYDODMzj8zMs4BDKL5FmAN8LiKm9/r5JgMzvSRJkprGowf/tcBM4MOZeVtzZ2beDFwEzAJG6sU/CTgcWJWZl7XUsRq4oHz7+pby5wDzgMsy88st5Qcy86+BW4B9Kb5RqBfnwZckSaq18Qj4p5bbL7U51tx32ljryMzrgPuB5RExv9w9Bfg+xXj7dn5Sbvca4boV4Tz4kiRJKvT0kG05tGYJsBlo91DrT8pjh0ZEIzM7JdFDy+1tHY4nsFt5rRsz8xPAJzrc0xTgqPLtL0f8EBXjQ7aSJEn11ussOjtTDM9ZnZkbhx7MzMcj4gGKcD6fYkx+O3uW2191ON7cv3sX97QCOBC4j+Jh32GVDwiv6KJegKVdltux7MCXJElSqdeAP7fcPjxMmUfK7Tw6B/yR6mmto6OIOAr4aPn2rZn5+HDlS/sBx3dRTpIkSep7vQb8TeW2mz7k4cb7d1tPxzoi4miKqTXnAZ/MzM91cU8AdwHXdFl2KbCgy7I7TMMufEmSJJV6Dfjry+3sYco0j63roZ5h64iI04EvUIT7zwCvGeZag2TmpcCl3ZSNiFX0e29/w8WJJUmS6qzXNLiWIpwviohtflko9y0CNmTmmmHqua/c7tHheMcx+hHxKuArFOH+Q8DL2616W2l24EuSJKnUU8AvZ8X5ETCVYlGqoaK8xq0jVNWcPWfJNhUUM/UcQjGM5/Yhx97F1gWv3piZbxpmph5JkiSp8sZjPMfKcntmm2PNfV/toY5jgcXAtZn5UHNnRLweeA/wGPDizPxIV3crSZIkVdh4BPzPABuAt5Sz2AAQEcuAN1PMgHNxy/4DI+KQiGh9WPUaim8CToqIV7aUXdxy7gdb9h8GfKB8+6eZ+YVx+ByV0HAlW0mSpFrr9SFbMvOuiHgT8HHg+ohori777LL+P83M+1tOuRp4IvBSyodbM3NzRLysPPapiHg5xbj8Eyjm2r8kM69sqeOdwHRgDfDciHhuh9v7+8z8dq+fsf+1jEoy4EuSJNVazwEfIDMvjohfUPTYLwceBa4F3peZV3dZx00R8XTgQuAPgKcAPwXeBnx6SPFTy+1C4Nxhqv0GUIOAL0mSJBXGJeADZOZVwFVdlNtvmGO3A8/voo6dRnVzFWefvSRJkpqcNL0KnDdIkiRJJQN+JWxN+A378yVJkmrNgC9JkiRViAG/aqbYgy9JklRnBnxJkiSpQgz4FdAY9JStPfiSJEl1ZsCXJEmSKsSAXwWtC9lO3F1IkiSpDxjwK8eIL0mSVGcG/Epo7cI34EuSJNWZAb8CWiO9+V6SJKneDPgVMNDhtSRJkurHgF8BDVO9JEmSSgb8ynGMjiRJUp0Z8Cthaxd+w4AvSZJUawb8qjHfS5Ik1ZoBvwIaHV5LkiSpfgz4lWPElyRJqjMDfhUMtC50NXG3IUmSpIlnwK8YZ8yUJEmqNwN+xTiLjiRJUr0Z8KvGfC9JklRrBvwKMNNLkiSpyYBfMQ3/SiVJkmrNNFgFAz5aK0mSpIIBv2IajteRJEmqNQO+JEmSVCEG/IoZsAtfkiSp1gz4FdBweStJkiSVDPgV40JXkiRJ9WbAlyRJkirEgF81jsGXJEmqNQN+FTgEX5IkSSUDfsXYgS9JklRvBvwKaJ1Fx4dsJUmS6s2AXzkGfEmSpDoz4EuSJEkVMm28KoqIE4G3A0cA04HvAhdl5spR1HEw8B5gObArcCdwCfDxzNw8wrmLgduBL2fmK8b0ISpgwA58SZKkWhuXHvyIWAF8HTgWuBG4HjgO+FpEnN9lHUcANwMvAu4GVgL7AB8DPjvCuXOAfwMWje0TTG6NDq8lSZJUPz0H/IjYC/gk8CCwLDNPz8xTKAL+WuCjEbH3CHU0KEL8TsB5mbk8M88GDgZ+CJwbEed0OHcf4L+AZ/X6WSatgdZ5Mo34kiRJdTYePfivBWYCH87M25o7M/Nm4CJgFjBSL/5JwOHAqsy8rKWO1cAF5dvXt54QEdMi4rXALcDTgZ/19jGqwoAvSZJUZ+MR8E8tt19qc6y577Sx1pGZ1wH3A8sjYn7LoeXA31I8R/Bq4C+7ultJkiSpwnoK+OXQmiXAZuCONkV+Uh47tCzbyaHl9rYOx5PiXpe07FsPfBg4KDP/fjT3XWWNKfbgS5Ik1Vmvs+jsTDE8Z3Vmbhx6MDMfj4gHgN2A+RRj8tvZs9z+qsPx5v7dW+q+meKh3J6UDwiv6LL40l6vJ0mSJG1PvQb8ueX24WHKPFJu59E54I9UT2sd420/4PjtUO8OM3glW0mSJNVZrwF/U7kdGLZUYbjhQN3Wsz0W5roLuKbLskuBBdvhHsaREV+SJKnOeg3468vt7GHKNI+t66GebuoYk8y8FLi0m7IRsYp+7O0f9GuRAV+SJKnOeu0RX0sRzhdFxDa/LJT7FgEbMnPNMPXcV2736HB8pDH6kiRJkugx4GfmAPAjYCrFolRDRXmNW0eoqjl7zpKhB8rZdw6hGMZz+5hvtsIaHd9IkiSpbsZjTPvKcntmm2PNfV/toY5jgcXAtZn50CjvrX4M+JIkSbU2HgH/M8AG4C0RcVRzZ0QsA95MMQPOxS37D4yIQyKi9WHVayi+CTgpIl7ZUnZxy7kfHId7rajWQfgmfEmSpDrrOeBn5l3Am4CdgOsjYmVErASuo5j7/vzMvL/llKspFsU6q6WOzcDLKB6i/VRE3BARV1AscHU4cElmXtnrvdZBw4AvSZJUa+My7WRmXgycAdwALAeOBq4FTsrMy7qs4ybg6cDlwJOAk4G7gVcDF4zHfdaC+V6SJKnWep0mc4vMvAq4qoty+w1z7Hbg+WO8/qV0Od1llZnvJUmS6m17LBylHazhPPiSJEkqGfArx4AvSZJUZwb8ShgYuYgkSZJqwYBfAa199g078CVJkmrNgF81JnxJkqRaM+BLkiRJFWLArwRXspUkSVLBgF8FPmMrSZKkkgG/Yhr24EuSJNWaAb8CjPSSJElqMuBXjX+jkiRJtWYcrAQH4UuSJKlgwK+Yhn+lkiRJtWYarICGHfiSJEkqGfCrxpVsJUmSas2AL0mSJFWIAb9i7L+XJEmqNwN+BbSG+oZDdCRJkmrNgF85BnxJkqQ6M+BXgtPoSJIkqWDArxo78CVJkmrNgF8BzoMvSZKkJgN+5diFL0mSVGcG/Mox4EuSJNWZAb9qzPeSJEm1ZsCvgEbLLDrme0mSpHoz4FeOEV+SJKnODPgV40K2kiRJ9WbArxwTviRJUp0Z8Ctg0Dz4duFLkiTVmgG/Yoz3kiRJ9WbAr4RBXfgTdheSJEmaeAZ8SZIkqUIM+BUwqM/eMfiSJEm1ZsCvGPO9JElSvRnwK8eEL0mSVGcG/Iox3kuSJNWbAb8CGoNm0ZEkSVKdTRuviiLiRODtwBHAdOC7wEWZuXIUdRwMvAdYDuwK3AlcAnw8Mze3Kb8X8BfAScCewD3A54D3Z+ajPX2gScs+fEmSpDoblx78iFgBfB04FrgRuB44DvhaRJzfZR1HADcDLwLuBlYC+wAfAz7bpvwTymudD6wB/h2YD1wIrIyI6b18pknFlWwlSZJU6jngl73onwQeBJZl5umZeQpFwF8LfDQi9h6hjgZFiN8JOC8zl2fm2cDBwA+BcyPinCGnXQw8AXhnZh6Zmc8HDgK+AZwAvL7XzzYZGe8lSZLqbTx68F8LzAQ+nJm3NXdm5s3ARcAsil724ZwEHA6syszLWupYDVxQvt0S2CMigOcC/wP8VUv59cDLgU3A68b+kSaXRsc3kiRJqpvxCPinltsvtTnW3HfaWOvIzOuA+4HlETG/3H0KRZS9cujY/Mz8BfA94IkRsWSE60qSJEmV0tNDtuXQmiXAZuCONkV+Uh47NCIamdlpupdDy+1tHY4nsFt5rRu7KP9j4GjgMOD24T7DWGy896esvrh/viDYZfOmLa8bDSdGkiRJqrNeZ9HZmWJ4zurM3Dj0YGY+HhEPUITz+RRj8tvZs9z+qsPx5v7dx1i+o/IB4RUjlSstBZi+eRO7bHi4y1N2nM3AlClTJ/o2JEmSNIF6Dfhzy+1wafeRcjuPzgF/pHpa6xhL+eHsBxzfRbm+97N9n0zMmDXRtyFJkqQJ1GvAb44N6WalpeHGjnRbT7OO0ZYfzl3ANV2Ug6IHf8Hju+/HmnPf2eUpO8b0GbOJnUf8wkKSJEkV12vAX19uZw9TpnlsXQ/1DK1jtOU7ysxLgUtHKgcQEauA46fPmMWuu+/XzSmSJEnSDtXrE5lrKcL2oojY5peFct8iYENmrhmmnvvK7R4djg8dcz/a8pIkSVIt9BTwy1lxfgRMpViUaqgor3HrCFU1Z8PZZlrLcqaeQyiG5dw+UvnSk8vtSNeVJEmSKmU85lRcWW7PbHOsue+rPdRxLLAYuDYzHxpS/oyIGPQZImJf4KnA3Zk57lNkSpIkSf1sPAL+Z4ANwFsi4qjmzohYBryZYkabi1v2HxgRh0TEgpY6rqH4JuCkiHhlS9nFLed+sLk/M39OEfIPAS5sKT8X+DTFNwpbykuSJEl10XPAz8y7gDcBOwHXR8TKiFgJXEcx9/35mXl/yylXUyyKdVZLHZuBl1E8FPupiLghIq6gWODqcOCSzLxyyKVfA/waeEdE3BoR/wb8FDgJ+BrwiV4/myRJkjTZjMuyp5l5MXAGcAOwnGIV2WuBkzLzsi7ruAl4OnA58CTgZOBu4NXABW3K/wx4GsUMOIuB5wC/B94GnJ2Zj/f0oSRJkqRJqNdpMrfIzKuAq7oot98wx24Hnj+Ka94DvLTb8pIkSVLVjUsPviRJkqT+YMCXJEmSKsSAL0mSJFWIAV+SJEmqEAO+JEmSVCEGfEmSJKlCDPiSJElShRjwJUmSpAoZt4WuauIggDvuuIPzzjtvou9FkiRJFXXHHXc0Xx402nMN+KOzC8BDDz3ETTfdNNH3IkmSpOrbZbQnGPBHZ1PL6weBW0Zx7vHl9prtfM6OPm9H3+NEXHMy/HkCLAUW0N9tc7Jcb6znTZb7nIjzllLN9unf+eQ/byn93zYny7+1Vb/PXs4dy3nHADMYnD+70hgYGBjtObUVEato+QvKzBNGce4AQGY2tuc5O/q8HX2PE3HNyfDnWZ67iqJ99m3bnCzXG+t5k+U+J+i8VVSwffp3XonzVtHnbXOy/Ftb9fvs5dwx3ucqxtA2wYdsJUmSpEox4EuSJEkVYsCXJEmSKsSAL0mSJFWIAV+SJEmqEGfRGYVeZtGRtrdenraXtjfbp/qVbVP9yll0JEmSJAEGfEmSJKlSDPiSJElShUyb6BuYZC4F1pSvvzRhdyG1dymwCrhrQu9Cau9SbJ/qT5di21R/upQxtk0fspUkSZIqxCE6kiRJUoUY8CVJkqQKMeBru4uIVRExEBErxnj+CeX53xjnW5Nsn+prtk/1K9tmfzPgS5IkSRViwJckSZIqxIAvSZIkVYgBv0Wv48nUnYh4d/nn/Odtji0vj62agFvrW7bNHcf2OXq2zx3H9jk6ts0dx7bZXwz4kiRJUoUY8CVJkqQKMeBLkiRJFTJtom+g30XEHOA1wDlAAHOB3wHXAf87M29qKXsC8E3gg8BngPcBzwJmAbcA78/ML+24u1eV2TbVz2yf6le2TdWBPfjDiIjZwLeA9wN7l6//E9gMnAV8OyKWtTn1COBG4Gjg28DtwDHAFyPinB1w66o426b6me1T/cq2qbow4A/vtcBRwL8B+2fm8zLzucD+5b4ZwKvanHci8K/AgeU5y4D3lsf+3+1/231roIsyU7f7XVSDbXP82T7Hj+1z/Nk+x4dtc/zZNvuQAX94jwBfBd6WmY83d2bmo8Cl5dt925y3AXh9Zm5o2ffxcnvodrjPCRcRT4uIyyPiXW0OTy+3D5XbzeW23RCxheN9bxVl2xwF2+cOZ/scBdvnDmXbHAXb5uTlGPxhZObfAX/Xui8iFgJPAU4rd81oc+rtmfnQkH2/ofgtd+4432a/WAScDcxvc2zPcntfuV1XbvdoU/YZ43xflWTbHDXb5w5k+xw12+cOYtscNdvmJGUP/ggiYs+IeG9E/HdEPAD8nmL83f9VFmm0OW3N0B2ZOUDx22278lVwA7AReFZEPKW5MyJOp/jq80Hgu+XuW8vtORGxd0vZYygefFIXbJujYvvcwWyfo2L73IFsm6Ni25yk7MFvbwAgIv4AuAqYA/wCuAa4g6IxPwZcOdz5dZKZv4uIDwJvA26KiG8CM4ETyiJvzszHytf/BXwfeCrwo7LsrsBy4DLgvB1575OMbXMMbJ87jO1zDGyfO4Rtcwxsm5NX7QJ+RDwNeAvwg8y8cMjhLePJIqIBfJrih8ArMvMfhtRzxna/2UkmM98eEfcArwb+kGLM4rXAhzLzKy3lNkXEicB7KL76Ox34H+ANwCXU9IeAbXP7sn32xva5fdk+x862uX3ZNien2gV8uh9Pthg4APj10B8CpZPLrcOcWmTmJ4BPdFHud8Dryv+Gagwpu2rovoqybW5nts+e2D63M9vnmNk2tzPb5uRTx0bc7Xiy31I8bb97RDy9pVwjIl4KXFDumrWjblyVZ9tUP7N9ql/ZNqUhateDP5rxZBHxMYqv/b4dEasonhBfSvED4w7gENo/LS6Nmm1T/cz2qX5l25S2VccefDLz7RRPy/+UYjzZMorxZM/LzE+1FP1zirFjCRwHnEIx3+ufUyyUcSuwT0QcscNuXpVm21Q/s32qX9k2pcEaAwO1fDBckiRJqqRa9uBLkiRJVWXAlyRJkirEgC9JkiRViAFfkiRJqhADviRJklQhBnxJkiSpQiq90FVETKVYme7PgCcDU4GfAf8M/E1mbhhSfhnwF8DRwDzgR8BHM/Mfu7hWALcA78vM93Yo8z8Uy2R3Mj0zHx/pWpr8+rBtNoAVwPnAU8r7+QHwkcz8wug/oSazfmmfEfHust6RXJOZJ3RRTpNcv7TNljJPAN4NnArsBvwOWAVcmJm3j/oDSuOksj345Q+BLwN/S7Ey3Q0U/9PtBVwIrIqIOS3lTwKuA06j+AHwTeAw4PMR8b4RrrUY+CLDLG8dEQsoVsr7DfD5Dv9tHv0n1WTTh22zAXwW+P/KelcBN1H8g/jPEfG6MXxMTVJ91j5/SOefl58HHinLfW+UH1OTUJ+1TSLiAOA7wMsp2uJVwGrghcB3IuK4sXxOaTxUuQf/FcBzKP6BOD0z7wWIiEXAV4BjgHcCb4uI2cBl5XknZeY3y7IHUvzweHtEXJGZ3x16kYh4CnA5cPAI97MUaABXZuYre/tomuT6rW2uAF4C3AacnJm/Ks9fDnwD+FBEfCEz7x/zJ9Zk0jftMzOvAK5odywiXgGcC/w38ObRf0xNQn3TNkvvB3YHPgz8r8zcXJ7/duB9wCcpfqGQdrjK9uBThBaANzR/CABk5gMUX+8BvKjcnkfx1drnmz8EyrL/A7ylfPv61sojYk5EvAu4keKHwM9HuJ+nltttfpiodlaU235pm+8AHgde0Az35TWuBT4F3Eux7LvqYUW57Zf2uY2IeBLwUeAh4FyHNtbGinLbL23z5HL77ma4L/1virb5lIjYuYvPJY27Kgf8B4AfUww1GOon5Xavcntquf1Sm7JXAZsovuJr9QLgPcBa4GyKIQ7DMeCrqW/aZkQsBQ4EvpaZdww9npmvz8z9MvOrnepQ5fRN+xzGR4A5wDsy8+4xnK/Jqd/aZjPU7z1k/3yKoT0bgXUj1CFtF5UdopOZZwxz+Ohy+8tye2i5va1NPWsj4j5gn4jYPTN/Ux76LcWDOx/KzHURccQIt/RUih8oEREfBA4HBoBrgb/MzHY/sFRBfdY2jyy3N0XEFOC5wLOB2cD3gc9l5voRP5Qqo8/a5zYi4hTgdOB24OLRnKvJrQ/b5tcovjH4x4h4NcXQoQMovl2aDnwgMx8b6XNJ20NlA34n5QOFf1m+vbzc7lluf7XtGVv270Mx1u43AJl5JXBll9ecydan/T8H3EzxsM9TKALVKRHx4sz8t1F9GFXKRLRN4KByux64GjhhyPG3RsRp7Xr3VS8T1D7beU+5vTAzN/VQjypiAtvm64B9gWMpHvhtegx4A/CxUdQljasqD9Hp5K+AZ1H8D/035b655faRtmds3T9vjNc8jOKXqYeAEzPzaZl5VmY+CXgjxW/6l0bEHmOsX9UwEW1zQbl9F7CE4ivqnSlmqPgX4InAVeUDa6q3iWifg0TEMcDTKYZj/Ot41KlKmKi2+XuKYTwPUrTJLwN3UPyb/hq2fkMq7XC1CvgRcSHwVuBRigcKV5eHNgEDmTkwQhVj+vPKzO9Q9CYclplXDzn2EYoxgnPZ+gCRamai2iYws9wuAM7KzH/NzDWZmRRfPd9E8ZXzS8ZYvypgAtvnUM0pWz8w5KFG1dQEt81/opgp58LMjMw8MzOXUKwnchDwH+V0m9IOV4uAHxHTIuLvKabP2kARZL7VUmQ90IiITvPdNnsvx/ywTGb+epiHwZpfCR411vo1OfVB23y43P4gM69rPVD+w3hJ+fYPxli/JrE+aJ+t9zILOKO8Dxdfq7mJbpsRcSrwx8BXM/NDrccy8xLgUmBX4NVjqV/qVeUDfkTMowjQ5wNrgFMy82tDit1XbjsNkRlpLF+vfl1u5wxbSpXSJ22z2dt1V4fjzV9KF42xfk1SfdI+W51IMZziq5m5dhzq0yTVJ23zhHL79Q7HmzOPPbXDcWm7qnTAL+efXUUxXdY9wDOH/Ibf1HzKfkmbOnaimHZrdcuT9qO9jxdGxD9GxIs7FNm/3P6yw3FVTL+0TeDWcrtXh+PNfxxd5KpG+qh9tmpOaehkBDXWR21zYbnttAZDc/+MMdYv9aSyAT8iZlD8Bn0UxXRqx2bmNtNllVaW2zPbHDuDYvabXuYB3w34E7YuxNF6nw22jm/+jx6uoUmiz9rmNynGri6LiP3bHG/OJf3tHq6hSaTP2merp5fb68epPk0yfdY2f1xuT+9w/KRy+4MeriGNWWUDPnAh8AyK3/BPyMzhescvp+ihXBERW/5njYgDKFakGwA+1OHcbvwzxcIZyyPijS31NyhmL3kGRU/qV3q4hiaPvmmbmfkg8GmKnwWfj4hdWq7xQopfTFfjmOc66Zv22VLfDIrZyH6bmXf1Wp8mrX5qm/9IMX7/tIh4XeuBiHgB8CqKZwMuaXOutN1Vch78iNiVrUtQrwY+HBFty2bmS8pFL15J8QPhqoi4hmJKyz9k62qJPxzr/WTm6oh4GcUT9x+KiJdT/PZ/GMVy2L8GznG59errt7ZZeiuwFDgO+Fl5jT0pFo7ZAKzIzDU9XkOTQJ+2TyhWCp3B1ueVVDP91jYz8/6IeAlF58fHIuI1wI8oZs85nGIu/Jf6C6kmSiUDPnA8W5+QP5Lh56J9CUBmfiUijmdrj3qDYlW6D2Vmz/MtZ+bl5RzOb6eYr/dgioeA/pZiJdvVw52vyujHtrkuIp4N/N/AecDJFP8QfhF4b2Z+r9draNLou/ZZak41uGac6tPk03dtMzO/HBFHA2+hWAH8DIq58S8H/jozv9vrNaSxagwMjDRFrCRJkqTJospj8CVJkqTaMeBLkiRJFWLAlyRJkirEgC9JkiRViAFfkiRJqhADviRJklQhBnxJkiSpQgz4kiRJUoUY8CVJkqQKMeBLkiRJFWLAlyRJkirEgC9JkiRViAFfkiRJqhADviRJklQhBnxJkiSpQgz4kiRJUoUY8CVJkqQK+f8BDYxGrxGpc1UAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 277,
+       "width": 380
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -469,12 +408,12 @@
     "trc_PTE.sum(axis=1).plot(ax=ax,label='PTE')\n",
     "ax.legend()\n",
     "ax.set_title('Total Risk')\n",
-    "ax.plot()"
+    "ax.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
@@ -494,7 +433,7 @@
        "Name: Date, dtype: datetime64[ns]"
       ]
      },
-     "execution_count": 13,
+     "execution_count": 27,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -510,27 +449,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.legend.Legend at 0x1dc7fa8d828>"
-      ]
-     },
-     "execution_count": 14,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 266,
+       "width": 397
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -552,7 +487,7 @@
     "    else:\n",
     "        ax.axvline(x=dt,color='red')\n",
     "\n",
-    "ax.legend()\n"
+    "ax.legend();\n"
    ]
   },
   {
@@ -561,11 +496,18 @@
    "source": [
     "We can see the Predicted Tracking Error of the PTE Strategy with each transaction marked."
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -579,9 +521,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/examples/Strategy_Combination.ipynb b/examples/Strategy_Combination.ipynb
index 17595f73..aeecc56a 100644
--- a/examples/Strategy_Combination.ipynb
+++ b/examples/Strategy_Combination.ipynb
@@ -4,6 +4,8 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
+    "## Strategy Combination\n",
+    "\n",
     "This notebook creates a parent strategy(combined) with 2 child strategies(Equal Weight, Inv Vol).\n",
     "\n",
     "Alternatively, it creates the 2 child strategies, runs the backtest, combines the results, and creates a parent strategy using both of the backtests. "
@@ -11,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -20,7 +22,9 @@
     "import matplotlib.pyplot as plt\n",
     "\n",
     "import ffn\n",
-    "import bt "
+    "import bt \n",
+    "\n",
+    "%matplotlib inline"
    ]
   },
   {
@@ -32,27 +36,25 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
-   "metadata": {},
+   "execution_count": 13,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1d62c1f46a0>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 251,
+       "width": 376
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -86,13 +88,15 @@
     "pdf = np.cumprod(1+rdf)*100\n",
     "pdf.iloc[0,:] = 100\n",
     "\n",
-    "pdf.plot()"
+    "pdf.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "metadata": {},
+   "execution_count": 14,
+   "metadata": {
+    "tags": []
+   },
    "outputs": [],
    "source": [
     "strategy_names = np.array(\n",
@@ -119,7 +123,7 @@
     "        wAlgo = bt.algos.WeighInvVol()\n",
     "    \n",
     "    strat = bt.Strategy(\n",
-    "        s,\n",
+    "        str(s),\n",
     "        [\n",
     "            runMonthlyAlgo,\n",
     "            selectAllAlgo,\n",
@@ -135,25 +139,14 @@
     "        integer_positions = False,\n",
     "        progress_bar=False\n",
     "    )\n",
-    "    tests.append(t)\n"
+    "    tests.append(t)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 15,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2054: RuntimeWarning: invalid value encountered in minimum\n",
-      "  negative_returns = np.minimum(returns, 0.)\n",
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2056: RuntimeWarning: divide by zero encountered in true_divide\n",
-      "  res = np.divide(er.mean(), std)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "combined_strategy = bt.Strategy(\n",
     "    'Combined',\n",
@@ -178,62 +171,54 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1d62e54a358>"
-      ]
-     },
-     "execution_count": 5,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAX8AAAD8CAYAAACfF6SlAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3Xd8VeX9wPHPNxsIARLCDBBGQMIQMCzZICJg62jrqAtbf7hna0WtdWHBVq3aWhX3RqVOnIgMUVZA9gyEEYEkJIwMsp/fH+fkkkt2cif3+3697otznjOe7wnJ9z73Oc99jhhjUEopFViCvB2AUkopz9Pkr5RSAUiTv1JKBSBN/kopFYA0+SulVADS5K+UUgFIk79SSgUgTf5KKRWANPkrpVQACvF2AACtW7c28fHx3g5DKaX8ypo1aw4bY2IbcqxPJP/4+HiSk5O9HYZSSvkVEdnb0GO120cppQKQJn+llApAmvyVUioA+USff1WKi4tJS0ujoKDA26GcViIiIoiLiyM0NNTboSilvMhnk39aWhrNmzcnPj4eEfF2OKcFYwxZWVmkpaXRtWtXb4ejlPIin+32KSgoICYmRhO/C4kIMTEx+mlKKeW7yR/QxO8G+jNVSkEdkr+IRIjIKhFZLyKbReRhu/x1EUkVkXX2a4BdLiLyrIikiMgGERnk7otQSil/sv1QDj/szORofpHXYqhLy78QGG+MORMYAJwnIsPsbXcbYwbYr3V22WQgwX5NB553ddCedOjQIS677DK6d+9OYmIiU6ZMYceOHY0657Rp05g3b16l8uTkZG677bZGnbvc66+/zi233OKScymlGu7QsQL+uziFt5bv4ZOff+HQsQImPb2Uq15ZxYBHFpBfVOKVuGq94WusJ7zn2quh9qump75fALxpH7dCRFqKSHtjzMFGR+thxhguuugirrnmGubOnQvAunXrSE9Pp2fPni6vLykpiaSkJJefVynlPQ99tpmvNx9yrA/vFuO0/V8LdnD/1ERPh1W3Pn8RCRaRdUAGsMAYs9Le9JjdtfMvEQm3yzoC+yscnmaXnXrO6SKSLCLJmZmZjbgE91m0aBGhoaHccMMNjrIBAwYwcuRI7r77bvr27Uu/fv14//33AVi8eDFjxozhkksuoWfPnsyYMYN33nmHIUOG0K9fP3bt2uU4z3fffceoUaPo2bMn8+fPdxx//vnnA/DQQw/xhz/8gbFjx9KtWzeeffZZx7Fvv/02Q4YMYcCAAVx//fWUlpYC8Nprr9GzZ0/GjBnDjz/+6Pafj1KqdiHBzvfZlu/Oclpv2TTMk+E41GmopzGmFBggIi2Bj0WkL3AvcAgIA+YA9wCPAFXdUaz0ScEYM8c+jqSkpJo+SfDw55vZcuB4XUKts8QOUTz4qz417rNp0ybOOuusSuUfffQR69atY/369Rw+fJjBgwczevRoANavX8/WrVuJjo6mW7duXHfddaxatYpnnnmGf//73zz99NMA7NmzhyVLlrBr1y7GjRtHSkpKpXq2bdvGokWLyMnJoVevXtx4442kpKTw/vvv8+OPPxIaGspNN93EO++8w8SJE3nwwQdZs2YNLVq0YNy4cQwcONAFPymlVGNEhAbXuP3YiWIPReKsXuP8jTFHRWQxcJ4x5gm7uFBEXgP+bK+nAZ0qHBYHHGhsoL5k2bJlXH755QQHB9O2bVvGjBnD6tWriYqKYvDgwbRv3x6A7t27c+655wLQr18/Fi1a5DjHJZdcQlBQEAkJCXTr1o1t27ZVqmfq1KmEh4cTHh5OmzZtSE9PZ+HChaxZs4bBgwcDcOLECdq0acPKlSsZO3YssbHWBH+XXnppo+9NKKUaLyu3sMryZy8fSFyrJvRoE+nhiCy1Jn8RiQWK7cTfBDgHeLy8H1+ssYMXApvsQz4DbhGRucBQ4Fhj+/tra6G7S58+faq8MWvdzqhaeHi4YzkoKMixHhQUREnJyRs7pw65rGoIZsVzBQcHU1JSgjGGa665hlmzZjnt+8knn+gwTqV8jDGGRdutbu3E9lFsOWj1YERFhPDrMzt4M7Q69fm3BxaJyAZgNVaf/3zgHRHZCGwEWgMz7f2/BHYDKcBLwE0uj9pDxo8fT2FhIS+99JKjbPXq1bRq1Yr333+f0tJSMjMzWbp0KUOGDKnXuT/88EPKysrYtWsXu3fvplevXnU6bsKECcybN4+MjAwAsrOz2bt3L0OHDmXx4sVkZWVRXFzMhx9+WK94lFKul5JhjZX57VlxPHnJmY7ygZ1beSskh7qM9tkAVOo8NsaMr2Z/A9zc+NC8T0T4+OOPueOOO5g9ezYRERHEx8fz9NNPk5uby5lnnomI8I9//IN27dpV2XVTnV69ejFmzBjS09N54YUXiIiIqNNxiYmJzJw5k3PPPZeysjJCQ0N57rnnGDZsGA899BDDhw+nffv2DBo0yHEjWCnlebfP/ZlP11k93qMSWtM84mS6fe4K73/9SWrqwvCUpKQkc+rDXLZu3Urv3r29FNHpTX+2SrnH9kM5LN2RSVCQ8Oj8LY7yd64bytndY3hz+V4m921Hm6i6NfZqIyJrjDENGh/usxO7KaWUvygqKePN5XuY+cXWKre3bxGBiHDN2fEejasmmvyVUqqRnluUwjMLd1a5rXf7KLrFemdET018emI3X+iSOt3oz1Qp16su8f/urDi+un2Uh6OpG59N/hEREWRlZWmycqHy+fzrenNZKVW7z9c7f43pvD7t6NDC+huLiQyv6hCf4LPdPnFxcaSlpeGrUz/4q/IneSmlXOPW9352Wn/hqrM4XlDMM9/t5IYx3bwUVe18NvmHhobq06aUUn6jQ4sIbhjbHYCoiFAeON/zk7XVh88mf6WU8gdJXVqRvPcIS/8yjpBgn+1Jr8R/IlVKKR90JL+ISX3a+lXiB03+SinVYEUlZezNyqe7Dw7lrI0mf6WUaqBdmbmUlBl6tWvu7VDqTZO/Uko10J7DeQDa8ldKqUCSbT+APba5747nr44mf6WUaqDsXCv5t2wa6uVI6k+Tv1JKNdCOjFxaNg0lPKTmRzX6Ik3+SinVQOnHCujZ1v9u9oImf6WUcvh53xHiZ3zBjymHa93XGMOqPdkcruYZvb5Ok79SKuCUlRlW7s6qVH7Rf38C4IqXV1Z7bElpGU8t2MELS3YDsDszzz1Bupkmf6VUwHlx6W4unbOC5bsqvwHUZs4Pu3l24U4e/9p6bOvsi/u5OjyP0OSvlAo4q1KtpH/sRLFTeWt7CubO0U2rPXbt3iNO6y2bhrk4Os/Q5K+UCjgFxWUApB3Jdyo/XmC9GRw6XlDts0S+25rhtB4aLG6I0P00+SulAk5RqZX8Z36x1dH1sz87n6ISq7yopIyj+cWVjluVmu1YFjvn9+3Yws3Ruocmf6VUQCksKWVNha6by19aAcDc1fuc9hs6a2GlYy95cTkAsy7uR+qsqaTOmkLbKP98Mp4mf6VUQLnujWQAoiKcH2dSUmp18/zjt/0BHJ8CymXnFTmWJ/VpB4CIf3b5gCZ/pVSA+WGnNYb/mcsGMiqhNU1CgykqKePFpdbQzan92lc6prCklEGPLnCsRzfzz5u8FWnyV0oFlHG9YgEY2yuWAZ1acqK4lNlfbXNsbxYewr2TzwCsKZvjZ3xBr79+7die0Mb/ZvCsiiZ/pVRAOVFcyuD4VogIuzJzAXj1x1QA4lo1AWBw12gAJjy5pNLx7Vs28VCk7qXJXykVUI7kFTu6bYbERzttK+/vb1XD2P1ZfvqlrlNp8ldKnVbmrtrH63ZLvipZeUWO5H/18HinbWd3bw1ATKRz8p/arz3L7x3PntlT6XiatPxDat9FKaX8x4yPNgIwbUTXStuMMRzJL3K07IOChPm3jiS/qJSkLq0c+0VFhDLt7Hhe/2kPAM9dMcj9gXtYrS1/EYkQkVUisl5ENovIw3Z5VxFZKSI7ReR9EQmzy8Pt9RR7e7x7L0EppSwVv5W79eBxPl9/wGl7SkYupWXGaVqHvh1bMKRrNEFBzsM2LxzYEYBmYf43V39d1KXlXwiMN8bkikgosExEvgLuAv5ljJkrIi8AfwSet/89YozpISKXAY8Dl7opfqWUcjheUOJYnvzMD4DVZSMCJWWGTQeOAdCtDs/cHdCpJR/fdDZdWzdzT7BeVmvL31hy7dVQ+2WA8cA8u/wN4EJ7+QJ7HXv7BPHnb0IopfzG0fyiSmXd7vuS6W+tIeH+r8i13xwm9m5bp/MN7NzKbyduq02dbviKSLCIrAMygAXALuCoMab8bTYN6GgvdwT2A9jbjwExVZxzuogki0hyZmZm465CKRXw0o8XcP1ba6rctmBLOgAPfLoZgOjI0zOh10edkr8xptQYMwCIA4YAvavazf63qlZ+penxjDFzjDFJxpik2NjYusarlFKVbD+Uw9C/L2TboRwA/nvFIHbMnFzt/qdrP3591GuopzHmKLAYGAa0FJHyewZxQPmdlTSgE4C9vQWQjVJKucmkp5c6rY/pGUtYSBBzrjqryv21J7puo31iRaSlvdwEOAfYCiwCfmvvdg3wqb38mb2Ovf17U93E2EopVU+frT/A0h1WV3FRSRn3zNvgtP21awfTLNxql57bpx1L7x7n8Rj9QV1G+7QH3hCRYKw3iw+MMfNFZAswV0RmAj8Dr9j7vwK8JSIpWC3+y9wQt1IqQN323s8A7Jk9lZ92Heb95P1O22NOmXStc0xTXrt2MJ1aNSE7r5jiUufZOgNVrcnfGLMBGFhF+W6s/v9TywuA37kkOqWUqsaO9ByW2TN0VlTV1AzjerXxREh+Rb/hq5TyGweOnnAsn/uvpVXuczpMt+wJOrePUspv7MvOr7L8TxN7cpY9PUNTHclTJ9ryV0r5jbX7jlRZfuuEBKaNiCcjp1BH8tSRJn+llN/4x9fbK5W9ck0SAM0jQmkeEerpkPyWJn+llF+o+Ezd2yYksCo1i/unJNIvroUXo/JfmvyVUj5vd2YuZfbXhW4d34O7Jvb0ckT+T5O/Usqn5RaWMP7JJYTYUy53atXUyxGdHnS0j1LKp21Ms6ZhLimzWv5RTbTN6gqa/JVSPu3yl1Y4rcc2j/BSJKcXTf5KKZ9V8SYvwIzJZzCoc0svRXN60eSvlHK7aa+t4oUlu+p9XFZeoWP5tgkJXD+6m47jdxFN/kopt5q/4QCLt2cy+6ttjrJfjp4gt7CkhqOs5/F+tPYXAF6bNpi7JvbUxO9CmvyVUm5z8NgJbnn3Z8d6fpGV8EfM/p4Ln/uxxmNXpmbzz2+sL3Wdrs/R9Sa9ba6UcgtjDA9/tsWpLDOnkCU70gBIycit6jCHo/nFjuV2LfQmr6tpy18p5Rbr047x9eZDTmXbDuXwN/s5uuA8S+fBYyfYm5XnWD9ecDL5R4TqZG2upslfKeUWG9KOOpb/d+NwgEoPWE89nEdBcSnxM75g+KzvGfPPxY57AfuyrBk8Jya29VDEgUW7fZRSblHewv9xxngiQqpuZ2bmFPLm8j1OZX0f/AaAqf3b0yWmKS9dneTOMAOWtvyVUm4VGxlOTGR4lduO5hc59e1X9MWGg8S1auLO0AKatvyVUg1SWmbYn51Pp+imBAcJWbmFRDcLQ0TIqzCMM8xu9e+YOZlDxwoIDhaahAYz6NEFHMkvJiOnsLoqaBulN3rdRZO/UqpBnvluB89+nwLAd3eN5pynljL74n6M6NHa0W9/5zknZ98MCwmic8zJSdmiIkLIzC1k3po0WjQJZf6tI8kpKGHKsz849imz5/NRrqfJXynVIP+zv4AFsCrVesLW419v40h+MbHNrW6etlFVd/eA9cnh3ZX7AAgNDqJTtPXGsOLeCQybtRCAkGDtmXYX/ckqpRrklwrDNO/7eCMAR+z++0y7K+dXZ3ao9vi8olLH8tzpwxzL7VpEsPnhSVya1In7pvR2aczqJE3+Sql6M6Zu3THNwqvvXBjZo7VjuUebyErHPf7b/kQ3C2tYgKpW2u2jlKq37LwiAG4Z14P/LEqpcp/tM8+r8RyvXzuY3YfziAjRL3B5gyZ/pVS9PfGtNefOWfGt+OvU3vz9y63MnT6ckrIymoWF0Cm6KeG1JPWQ4CB6tm3uiXBVFTT5K6XqpbCklPdW7QegR2wk43q14bpR3bwclaov7fNXStXLlxsPAtCzbaRjhI7yP5r8lVL18sOOwwC8fd1QL0eiGkOTv1KqXjJyCmnVNJQ2+ixdv6bJXylVZ9sP5bAs5TDDu8d4OxTVSLUmfxHpJCKLRGSriGwWkdvt8odE5BcRWWe/plQ45l4RSRGR7SIyyZ0XoJTynJ92WV0+k/q083IkqrHqMtqnBPiTMWatiDQH1ojIAnvbv4wxT1TcWUQSgcuAPkAH4DsR6WmMKUUp5dfKn6B7dvfWNe6nfF+tLX9jzEFjzFp7OQfYCnSs4ZALgLnGmEJjTCqQAgxxRbBKKe9as+8o7aIiaB2p37z1d/Xq8xeReGAgsNIuukVENojIqyLSyi7rCOyvcFgaVbxZiMh0EUkWkeTMzMx6B66U8ozSMkP68QL2Z+ezNyuPhLaRiEjtByqfVucveYlIJPA/4A5jzHEReR54FDD2v08Cf+DkJ8OKKk0EYoyZA8wBSEpK0nlblfJR3e/70mn9iqGdvRSJcqU6tfxFJBQr8b9jjPkIwBiTbowpNcaUAS9xsmsnDehU4fA44IDrQlZKeUppFfPpD46P9kIkytXqMtpHgFeArcaYpyqUt6+w20XAJnv5M+AyEQkXka5AArDKdSErpTyhsKSUS15cXql8dM9YL0SjXK0u3T4jgKuAjSKyzi67D7hcRAZgdensAa4HMMZsFpEPgC1YI4Vu1pE+Svmfn3ZlsWbvEcd6fExTFt89zosRKVeqNfkbY5ZRdT/+l1WUlR/zGPBYI+JSSnnIkbwiznlqCc9cNpCRCSeHcF772mrH8tXDu/B/OnnbaUW/4atUgEvee4SsvCKufGUl//xmG8YYUg/nOba//cehPHJBX53E7TSjUzorFeAq3tR9btEuwoKD+dd3OxxlFT8NqNOHtvyVCnBH8ouc1v+3Ns2x/Oq0JE+HozxEW/5KBahjJ4q5Y+7PLNru/CXLfdn5juVe7aI8HZbyEG35KxVgSkrLKCwpZe6qfU6Jf/m94532W/vARDq2bOLp8JSHaPJXKsD8/uWV9Prr14QEO//5t29xMtEP7NyS6GY6f8/pTLt9lPITqYfzeHVZKg/+KrFS4q6L5D3Z/PaFk1/a2l+he+figdb0W5/dMoKUjFwuHFDT3I3qdKAtf6V8VEFxKWUVRuLc99FG3lqxl/VpRxt0voqJHyB5b7ZjefoYawx//7iWXDwojqAgnbjtdKfJXykfVFZmOOOBr7nzg3WOsmMnigF4/KvtzFuTVuVxh3MLOV5QXKc6Nv1ynP5xLVj857GcoTd2A452+yjlI1bszuLqV1bx3BWD+PhnK7l/uu4Az1w2kPyiErYcPA7Aqj3ZrNqTzZ8/XE9MszCy8orY+sh5NAkLJmnmdzSPCGHjQycfoHfj22v4eZ/1aaFFk1BiIsPYnWl9iSsyPIT41s08fKXKF2jLXykfYIzhsjkrKCot4//eTObLjYcc20rLDB///EuVx2XlWWP0f9iZ6fhkkFNQwr0fbQQgJSOHrzYd4tDxAgCmj+7Gd3eOcRyfkpHrlutRvk+Tv1I+YMXu7Gq33fXBOu7/eFO12wHWpx1l5e4sx/p7q/ZRVma49vXVTvudm9jWqT//prHdGxix8nfa7aOUD7j8pRWVynq0iSQlI5dP1518HMabfxhCUUkZnaKbMunppY7y5xbtqnT87e+vY3/2Ccf6zscmE2qPEvrq9lHc+f46pvRvX+k4FRi05a+Ul50oOjnj+WvTBnP5kE6svG8CL1x5ltN+Z3ePYXTPWM5JbEuvds2Zf+tI/jq1d6XzPfzrPgB8vv7km8auv09xJH6A3u2j+PqO0bRpHuHqy1F+QpO/Ul5Wcc78sb1imXVxf9pGRdCjTSQXDOjg2PbGH4Y4Hde3YwuuG9WNx3/Tz6l8ct92TutbHzmPYB26qU6h3T5KedmVr6wE4Lu7Rld6MPozlw3kmrPjiQwPcWq5VxQSdLL80Qv60CbqZGv+upFdaRIW7Iaolb/T5K+UFxlz8ktcXWKqHnI5qHOrGs9x4cCOlBrDxQM7Or752ywsmLyiUn6X1KnGY1Xg0uSvlBelHy8EYFRC62pb9rUJDhIuOSXJb3p4EkWlZYSHaKtfVU37/JXyol2Z1jj7G8e4dsiliGjiVzXS5K+Ul2TkFHDFy1Z/f/c2kV6ORgUa7fZRysNKywzLUg7z/OIUR1mb5uFejEgFIk3+SnnYR2vTuHveBqeyU0f5KOVu2u2jlId9tNZ5np7E9jqjpvI8bfkr5UG5hSUsrzAHzz3nncG1I+K9F5AKWJr8lfIQYwxX2V/oOqNdcz666WyahumfoPIO/c1TykO63vulY/mOcxI08Suv0j5/pTyguLTMaf28vjqbpvIuTf5KecD9H2/0dghKOdHPnUp5wAfJ1mMZB3Zuyd/OT/RyNEpp8lfK7UrLTk7e9t7/DSMiVKddUN5Xa7ePiHQSkUUislVENovI7XZ5tIgsEJGd9r+t7HIRkWdFJEVENojIIHdfhFK+LN1+fu5jF/XVxK98Rl36/EuAPxljegPDgJtFJBGYASw0xiQAC+11gMlAgv2aDjzv8qiV8iOj/rEIgM7RTb0ciVIn1Zr8jTEHjTFr7eUcYCvQEbgAeMPe7Q3gQnv5AuBNY1kBtBQRHdqgAtLR/CJHt098NfP1K+UN9RrtIyLxwEBgJdDWGHMQrDcIoI29W0dgf4XD0uyyU881XUSSRSQ5MzOz/pEr5QduemctABMT29JJW/7Kh9Q5+YtIJPA/4A5jzPGadq2izFQqMGaOMSbJGJMUGxtb1zCU8hufrvuFn3ZZUzm8dHWSl6NRylmdkr+IhGIl/neMMR/Zxenl3Tn2vxl2eRpQ8bFCccAB14SrlP948tsdADz4Kx3aqXxPXUb7CPAKsNUY81SFTZ8B19jL1wCfVii/2h71Mww4Vt49pFSg+GFnJvuy84ltHs61I7p6OxylKqnLOP8RwFXARhFZZ5fdB8wGPhCRPwL7gN/Z274EpgApQD5wrUsjVsqHTXxqCTszch3rx04UezEapapXa/I3xiyj6n58gAlV7G+AmxsZl1J+qWLiB5h9cT8vRaJUzXRuH6Vc5NTJ24bER3PxoDgvRaNUzTT5K+Ui+7LzndYvGlRphLNSPkPn9lHKRW62x/T/dWpvUg/ncdngTrUcoZT3aPJXygWOFxSz7VAOANeO6EpwkD6QXfk27fZRygV2pls3ei8e1FETv/IL2vJXqpH+Mm+9Y77+3+gNXuUntOWvVCP87dNNjsQP0LdjCy9Go1TdactfqVoYYzAGgip05+xMz+HSOSvIzity2rdFk1BPh6dUg2jyV6oWU59dxpaDx5l/60gWbctg+phuTPzXUsf2P5/bky4xzZiY2NaLUSpVP5r8lapBflEJWw5ak9ie/+9lADy5YIfTPreMT/B4XEo1lvb5K1WNFbuzSPzbN9VuvzSpE3tmT/VgREq5jrb8larGU9+ebOHPu2E4K1Oz+ec32wFYce8E2rWI8FZoSjWaJn+lbMWlZZSWGcJDgnhrxV5W7cl2bOvbsQVJ8dGcm9iWoCDRxK/8niZ/pWzDZy3kcG4Rt09I4JmFOwH49s7R9Gzb3LFPQoVlpfyZ9vkrZTucaw3bLE/8gFPiV+p0oslfnTYOHStg5W7rmbmfrT9Awv1fknG8oE7HPvL5lkpl39wx2qXxKeVLtNtHnRZyCooZNmshANeP6caLS3YD8M9vtvPP351Z6/Gv/pgKwPNXDOJIfjFje8XSoWUT9wWslJdpy1/5vZLSMvo99K1jvTzxA3y4Jo2s3MIaj1+0LQOAfh1bMLlfe34/tLMmfnXa0+Sv/F56Ts3J/blFu2rcfs//NgBw9fAuLotJKV+n3T7Kb2XnFREswh9fXw3ATWO7c8WwLoQFBxHbPJw1e7P5zfPLefXHVC4d3Im8ohKuf2sNN4/tzrQRXR3nybDfPH6XpA9fUYFDk7/yS7szcxn/5BKnsl8P6EDHCt01Z3WJ5rqRXXl5WSqTnj45F89Dn2/hymFdCAkOYmPaMQC6xzbzTOBK+QhN/srvzFuTxp8/XO9U1jw8hDPaRVXa974pvXl5WWql8h73fwVA5+imADx96UA3RKqU79I+f+V3Tk38APdO6V3lvkFBQuqsKZwZ14LmESFse/Q8p+3lD13v06HyG4dSpzNN/srjMnIKHPPg783K49N1v9T52C83HnQsD+0aTZeYpvzn9wO5fEj1/fUiwqe3jGTjQ5OICA1m1X0TnB6uHteqidNc/UoFAu32UW6x6Zdj5BWWMLRbDMYYPv75F0YlxBLbPJwhj1nj8RPbRzmmSwb4Vf8ONSbhg8dOcNM7ax3rlw3pxEUD6//YxDZREcz+TX+y8opYsCWd23RKZhWANPkHqMKSUsJDgt12/vK57x+7qC9nxrXkrg+srporhnZ27FMx8d8+dx23z13HpocnERle9a/l/9acfFzi/FtHNrqr5p7zziAkSJjav32jzqOUP9LkH4ByC0vo++A3nNGuOV+7YQqD/XY/OsD9H29y2vbOyn01Hvvt5kNcXOEh6MYYikrLCA8JJu3ICQB++Ms4Otk3ahujR5tInr/yrEafRyl/pH3+AWjOEutLT9sO5bC6wrTFrvLTrsO17vP6tYNpEhrM0rvHsWf2VHb/fQpNw4K564P1lJUZx36frT9Ar79+zXdb0pm7ej9g9dErpRpHjDG17+VmSUlJJjk52dthBIQL/rOM9fbY9nLlT6MqKC5l3f6jDOsW06g6znlqCcdOFLPk7rFOT8J69MK+pGbmcdXwLnRtXXlcffyMLxzLPdtGsiM9t8rz69OzlLKIyBpjTFJDjtVunwBRWFLKzPlbHYm/T4coNh+w+txHzP7eGgZ5KAewkvRVwxo21cHn6w+QkpFLaLDQNCyE1FlTeHZhCtNGxNOiSWiNx8bHNGVPltVlVF3i/+Ev4xoUl1LKWa3dPiIiDxvtAAAPjUlEQVTyqohkiMimCmUPicgvIrLOfk2psO1eEUkRke0iMsldgav66fXXr3lrxV7H+tt/HMoD5ycC8MvRE47ED/DAJ5s4eOxEg+pZuDUdgCvtNw8R4fZzEmpN/AAL/zSWS6uYYuFv5yciAh9cP9wlff1KqTp0+4jIaCAXeNMY09cuewjINcY8ccq+icB7wBCgA/Ad0NMYU1pTHdrt437lXSoJbSL59s7RiAjZeUVcPmcF29Nzajy2rt0sj3y+hVd/TGVIfDTvXz8MkfqPnS8rs27wXvXKSvZm5bPsnvGEheitKaWq0phun1r/qowxS4G63hW8AJhrjCk0xqQCKVhvBMqLdtrJ/fIhnVhw1xhHUo5uFsaHNw4H4Pz+7fn2ztHcPalXpeNTD+cBMPLx74mf8QWPzt9CUUmZ0z4ZOQWOOfFvHNu9QYkfrG/kRoQG8+ENZ7Pq/nM08SvlJo3p879FRK4GkoE/GWOOAB2BFRX2SbPLKhGR6cB0gM6dO1e1i3KBD5L385d51pTFU/pVHs8eFRHKl7eNoltsMyJCg+kRG8nATi35/csrHfv88Y3VnJvYzjHU8pVlqbyyLNXpE8Hq1COO5VEJrd11OUopF2los+p5oDswADgIPGmXV9Xcq7JfyRgzxxiTZIxJio2NbWAY6lS5hSWOmSpvfmetI/EDjEqo+uec2CGKiFDrC19BQcLZPVqz6r4JbHlkEkO7RrM7M48XllSeE7/UHpI5c/4Wbn7X+ubtzscmExKsrXWlfF2D/kqNMenGmFJjTBnwEie7dtKAinfs4oADjQtR1YUxhleXpdL3wW/41X+W8bdPN/FFhXlwfpoxvl7naxMVQdOwEG4c292p/Ns7R3PxIOvDXO8HviYlI9dp1sxQTfxK+YUGdfuISHtjTHlmuQgoHwn0GfCuiDyFdcM3AVjV6ChVjd5esZcWTUJ5ZP7Jh5C/udwa2fPbs+J4+Nd9aFbNlAm1GdurDef3b0+XmKb8aWIvgoKEWRf346O1v1BUWsY5T1lz6ovA0rt1GKZS/qLWjCAi7wFjgdYikgY8CIwVkQFYXTp7gOsBjDGbReQDYAtQAtxc20gf1TjHC4r56yebqtz2qzM78EQdHl5em//8fpDTenhIMJ/ePIILnvvRUbZzpnb3KOVPak3+xpjLqyh+pYb9HwMea0xQqu42nvJt3VenJdGrXRR3f7ieh3/dx231ntmpJWe0a862QzkM6RqtiV8pP6Pf8PVTa/Ye4TfP/+RYvzSpE1cO60K/uBYAvPt/w9wewz2Tz+Da11Zz7dnxbq9LKeVamvz91NsVvq3bOjKMx3/b3+MxjOvVRufZUcpPafL3MxnHCzh2opit9lz4TUKDWaw3WpVS9aTJ38/c/O5aVu+xvlDlrvn4lVKnP03+fqKwpJQgEUfiB2vCM6WUaghN/j4mv6iE+esPMrpnLMWlZfxl3gaeuORMRsz+3mm/dlERDO/euHn3lVKBS5O/D1mVms0lLy6vVH5q4t8xc7JOeKaUahRN/j6isKS0ysRfLjwkiJE9WnPxoDhN/EqpRtMs4iNe/uHk/DjL7rFG75zZqSVNw6wJ1x7/TX9emTaYqf0rz8yplFL1pS1/Lzt47ATzktN4csEOwHpMYVyrpo7x89l5RSzensGFA6ucGVsppRpEk7+bFJeWsT87n26xkdXuc+DoCc6u0J/fsmlopccURjcL4+JBcW6LUykVmDT5u1hJaRkfJKexMjWLT9cd4Pox3bh3cu8q9x3xuPON3Hk3DPdEiEoppcnflXILS+j74DdOZS8u2V0p+R84eoI5S3dT/vjkIV2jeeK3Z9I5Rh9OrpTyDE3+jWSMwRjrCVinJv5yv3n+J86Ma8m6/UdYu++o07bXpg1m3BltPBGqUko5aPJvhJW7s7h0zopK5bMu7sc3mw9x7+TeTHp6KWv2HmHN3iOV9hvRI0YTv1LKKzT5N0JViX/BnaNJaNucy4dYD6Xf/PAkJjy5hEPHCxz7fHLzCErLDGd1aeWxWJVSqiJN/g20YEu6Y3n+rSN5+PPN9OvYkoS2zZ32axYewor7JgDwxYaDDOsWTUxkuEdjVUqpU2nyr6OC4lJeWLKL8JBgdmXmsnxXFgBf3jaKxA5RfHjD2bWeQ7+gpZTyFZr86+BwbiFnz/qeotIyp/Jbx/cgsUOUl6JSSqmG0+Rfgw1pRwkS4fx/L6ty+41ju3s4IqWUcg1N/tX4MHk/d8/b4FT26AV9GNurDSLQOjKciNBgL0WnlFKNE7DJ/2h+ES2ahCIi7M/OJyYyjKZh1o/jSF5RpcT/8tVJnJPY1huhKqWUywVc8s/IKeCrjYd48LPNtGgSyrETxY5tFw7owCfrDjjW/zSxJ80jQpjYpx0dWzbxRrhKKeUWAZX8C4pLGfLYQsd6xcQPOCV+gJvH9SAoSDwSm1JKeVLAzOe/bOdhznjg60rlbZqH8/2fxjiVtY4M5/krBmniV0qdtgKi5X84t5ArX1npWP9xxvhK3Th7Zk/leEExURGhng5PKaU8LiBa/k98s92x/NXto6rtv9fEr5QKFKd1y3/boeM88MkmVu85QtfWzVj057HeDkkppXzCaZv8Dxw9wXlP/+BYn3lhXy9Go5RSvuW07fb5ZvMhx/KohNaM6NHai9EopZRvqbXlLyKvAucDGcaYvnZZNPA+EA/sAS4xxhwREQGeAaYA+cA0Y8xa94RePWMMD3++BYAtj0xyfHlLKaWUpS4t/9eB804pmwEsNMYkAAvtdYDJQIL9mg4875owa7c7M5db3l3L84t30fXeLwGrxa+JXymlKqs1MxpjlopI/CnFFwBj7eU3gMXAPXb5m8YYA6wQkZYi0t4Yc9BVAVe0Mz2HJTsyyc4r4r+LdwEwf8PJqp6/8ix3VKuUUn6voc3ituUJ3RhzUETKn0XYEdhfYb80u6xS8heR6VifDujcuXODgtiRnsvML7ZWKh/SNZobx3YnMlxb/UopVRVXZ8eqvhJrqtrRGDMHmAOQlJRU5T61mdKvHf+9YhCPfL6Ft68bSo82kQ05jVJKBZyGJv/08u4cEWkPZNjlaUCnCvvFAQcqHe0iIsKUfu2Z0k+fkKWUUvXR0KGenwHX2MvXAJ9WKL9aLMOAY+7q71dKKdVwdRnq+R7Wzd3WIpIGPAjMBj4QkT8C+4Df2bt/iTXMMwVrqOe1bohZKaVUI9VltM/l1WyaUMW+Bri5sUEppZRyr9P2G75KKaWqp8lfKaUCkCZ/pZQKQJr8lVIqAGnyV0qpACTWAB0vByGSA2yvZnML4FgNh7cGDtewvbbjG7vdl+vXa/dO3d6uX6/dO3V7o/5expjmNexfPWOM119Acg3b5jT02Doe39jtPlu/Xrteu1776X3ttcVT08sfun0+d/Pxjd3uy/XrtXunbm/Xr9funbp9of4685Vun2RjTJKnj3WFQK5fr12vPdDq97Vrb0w8vtLyn+OlY10hkOvXaw/M+vXafaf+BsfjEy1/pZRSnuUrLX+llFKe1NA7xe58YT0TYBGwFdgM3G6XRwMLgJ32v63scgGexZpNdAMwqMK5/mGfY6u9j3iw7seBTfbrUjdd+xnAcqAQ+PMp5zoPawhtCjDDw3W/ivWch01u/H+vsv7qzuOhuiOAVcB6+zwPe/r/3d4eDPwMzPfw//seYCOwjjqORHFx/S2BecA2+3zDPfT/3su+5vLXceAOD1/7nfY5NgHvARE11l3XP0xPvoD22EkUaA7sABKxEvkMu3wG8Li9PAX4CisRDwNW2uVnAz/afwjB9g9trIfqnmr/p4UAzYBkIMoN194GGAw8dsovYzCwC+gGhGElo0RP1G1vGw0Mon7J31XXXuV5PFS3AJH2ciiwEhjmqWuvcL67gHepW/J35f/7HqC1m//ea6r/DeA6ezkMaOnJn3uFv71DQBcP/s53BFKBJvb6B8C0mur2yW4fY8xBY8xaezkH612xI9YD4t+wd3sDuNBedjw43hizAmhpP2HMYLXEwoBwrD/GdA/VnQgsMcaUGGPysJLvea6+dmNMhjFmNVB8yqmGACnGmN3GmCJgrn0OT9SNMWYpkF3b9bqj/hrO44m6jTEm114NtV+13lhz5c9eROKwGh8v11avq+tuCFfVLyJRWI2OV+z9iowxRz1R9ykmALuMMXs9de22EKCJiIQATanlKYo+mfwrEpF4YCBWC8rpwfFY74JQzYPjjTHLsT5SHbRf3xhjKj/x3Q11YyX7ySLSVERaA+NwfsSlq+qvTnVxeaLuRnNV/aecxyN1i0iwiKzD6vZaYIypc92uqB94GvgLUFafel1UtwG+FZE1IjLdw/V3AzKB10TkZxF5WUSaeajuii7D6napl8bUb4z5BXgC6+FaB7GeovhtTcf4dPIXkUjgf1h9Z8dr2rWKMiMiPYDeWM8S7giMF5HRnqjb/sF/CfyE9YuwHCipS931rL9ecXmo7kZxVf0NOY8r6jbGlBpjBmD93g0Rkb7ujPmU488HMowxaxpwrCt+7iOMMYOAycDNdf17c1H9IVhdjc8bYwYCeVhdJp6ou/w8YcCvgQ/reVxj/99bYX1a6Ap0AJqJyJU1HeOzyV9EQrF+GO8YYz6yi9PtLhXq+OD4i4AVxphc+6P4V1j98p6oG2PMY8aYAcaYiVjJeKcbrr061cblgbobzFX1V3Mej9Rdzu5yWEwduvtcWP8I4Ncisgerq2+8iLztoboxxpT/7mcAH2N1P9bKhb/zaRU+ac3DejPwRN3lJgNrjTE1di+7of5zgFRjTKYxphj4COueZ7V8MvmLiGD12201xjxVYVN9Hxy/DxgjIiH2D3gMVp+a2+u2P/rH2OfsD/QHavwY1sD6q7MaSBCRrnZr5DL7HJ6ou0FcVX8N5/FE3bEi0tJeboL1R7nNU/UbY+41xsQZY+Kx/s+/N8bU2AJ04bU3E5Hm5cvAuVgjT2rkwms/BOwXkV520QRgiyfqruBy6tHl48L69wHD7G5mwbr2mru4TT3uynvqBYzE6qLYwMmhU1OAGGAhVgt6IRBtTo6weA5rdMtGIMmcvOv+ov1D2AI85cG6I+w6twArgAFuuvZ2WC2e48BReznK3jYFa/TALuB+D9f9HlbfY7Fd/kdP1V/deTxUd3+sIZYbsBLf3zz9/17hnGOp22gfV117N6x7XeXDXGv9nXPD790ArJF1G4BPsIdIeqjupkAW0MKNua6m+h/GamhsAt4CwmuqW7/hq5RSAcgnu32UUkq5lyZ/pZQKQJr8lVIqAGnyV0qpAKTJXymlApAmf6WUCkCa/JVSKgBp8ldKqQD0/8yQ6199sZIEAAAAAElFTkSuQmCC\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvEAAAH2CAYAAAD51dPEAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAABYlAAAWJQFJUiTwAAB8eUlEQVR4nO3dd3xb1f3/8Ze8t2M7zt7rZE+yIGzC3rMtpKWU7l/59ktLN6Wlu7R0Qykt5UuhpQU6gFIoBBIgkEVCdk72dIYTx3tb+v1xJcWyJVu2JVuy38/Hg8fVvffcc48Ojv3R0Tmf6/J4PIiIiIiISPxI6OkGiIiIiIhIxyiIFxERERGJMwriRURERETijIJ4EREREZE4oyBeRERERCTOKIgXEREREYkzCuJFREREROKMgngRERERkTijIF5EREREJM4oiBcRERERiTMK4kVERERE4oyCeBERERGROJPU0w2IRcaY9cBooBLY1cPNEREREZHeaxyQBey11s4K9yIF8cGNBnK9/w3t4baIiIiISO83uiOFFcQHVwnkZmdnM2nSpJ5ui4iIiIj0Utu2baOiogKc+DNsCuKD2wUMnTRpEn/60596ui0iIiIi0kstWbKE1atXQwencGthq4iIiIhInFEQLyIiIiISZxTEi4iIiIjEGQXxIiIiIiJxRkG8iIiIiEicURAvIiIiIhJnFMSLiIiIiMQZ5YmPALfbTUlJCRUVFdTV1eHxeHq6SSJhcblcpKamkp2dTX5+PgkJ+lwvIiISDxTEd5Hb7ebgwYNUV1f3dFNEOszj8VBbW0ttbS1VVVUMHz5cgbyIiEgcUBDfRSUlJVRXV5OUlMSgQYPIzMxUECRxw+12U1VVxdGjR6murqakpIT+/fv3dLNERESkHYo2u6iiogKAQYMGkZ2drQBe4kpCQgLZ2dkMGjQIOP3zLCIiIrFNEWcX1dXVAZCZmdnDLRHpPN/Pr+/nWURERGKbgvgu8i1i1Qi8xDOXywWgRdkiIiJxQpGniPiDeBEREYkPEVnYaoxJBD4LfAwwQDWwFviFtfbfLcoOBw60Ud0Ka+2iFtcMAe4DFgODgYPAn4AfW2v1/b+IiIiIxAWPxxORwbNIZaf5I7AEKAeWAinAucBiY8w3rbXfaVZ2lne7EdgUpC7bfMcYMwx4FxgGrAfWAWcB9wMXGGMuttY2ROh9iIiIiIhEhS09xmP2HYZn5XHD6Fmcqqvu9FTWLgfxxpibcQJ4C5xrrT3mPT4FWAF8yxjztLV2p/cSXxD/Y2vtU2Hc4iGcAP5ea+13vXVnAv8ELgLuAn7a1fchIiIiItIZHo+H6sZ6MpNTcXvcvH/yELkp6YzNKfSXKa+v4cFNSwEoLalhU0kRAKfqOvesoUjMib/Nu/2KL4AHsNZuAZ7y3uPiZuV9Qfx77VVsjDHAlcBu4PvN6q7CmbrTBHyuK42X7lNXV8fzzz/PnXfeyQUXXMDUqVOZP38+H/7wh3nmmWdoamrq6Sb6GWOYPHly2OWXLFmCMYa1a9dGsVXhW7t2LcYYlixZ0tNNERER6dUa3U38fPPr3L3yOf65bwOvF+3gkW1v88CG19hdXgxAeX0tX1/zfNDri2srO3XfSATxNwLTgP8EOZft3TY2OzYLqAR2hFH3JYALeMFa625+wlp7AGdqzUhjTPjRlvQIay3XXnst99xzD++99x4DBgzgggsuYNSoUbz33nt84xvf4NZbb6WysnM/yCIiIiI9YXNJEdtLnXHspYe38+qhbQB48PC4fReAlw9uod4d2cHKLk+nsdbWA5tbHjfGXAnchBOw/9N7LB8YgRN8322MWQKMB0qBF4FvWWuLmlUzxbttVb/XdmAuzoeIrV18KxIl+/bt4wMf+ADV1dXccccdfOpTnyI3N9d/fv/+/XzhC19g/fr1fPKTn+TJJ5+Mu2wpP/rRj6ipqWHo0KE93RQRERHpRmX1tf7X9e4m6utr/PuVjfUAlDfUtrquqyK1sBUAY0w6TtaYycAknCw0S5pNs/FNpZmNE3gvBw7hBOIfB64yxpxnrfUtbh3s3R4JcUvf8YFhtO124PYw38rMMMtJOzweD1/84heprq7ms5/9LHfddVerMiNHjuR3v/sdV155JWvXrmXp0qVcdNFFPdDazhsyZEhPN0FERER6QE1TfchzyQmJALij8ByWSOeJHwHcgBPA+0xv9toXxG8GjLV2sbX2CmA08BdgEM48eh/fY1BDzfj3fdTJCqNto3Ay5oTzX27wKqSj3nvvPTZt2sTAgQP51Kc+FbJcfn4+d9xxBwsXLqS29vSn1cbGRp588kmuv/56Zs6cyaxZs7jxxht56qmnaGxsDKjj73//O8YY/vKXv7Bq1SqWLFnCrFmzmD9/Pl/84hcpKSkB4G9/+xtXXnkl06dP55JLLuG3v/1tq7p8Tpw4wZe//GXmz5/PrFmzWLJkCcuXL29VLticeN+xiooKfv/733PZZZcxbdo0zj77bL797W/729PSCy+8wIc+9CFmz57NzJkzufHGG3nmmWeCrl53u908+eSTXH311cyYMYMLLriA3/zmNyHfj4iIiERWVWPoID41IZFtp47y3om2sqt3TkRH4nFG1fsDbpzMMb8AfmWMybTW/gj4GfAcUGGtPeG7yFpbZYy5EzgHmGOMWWCtXYmzcBWgvY8v4XwY2Ycz8h+OmSiQj4iXXnoJgMWLF5OSktJm2TvvvJM777zTv19XV8edd97J6tWryczMZMGCBQCsWrWK+++/n9dff52HH364Vb1Lly7l/vvvZ8yYMZx55pmsX7+eF154gf3793PGGWfw+OOPM3v2bBYuXMiKFSv42c9+Rnl5OV/60pcC6vF4PNx6660cO3aMBQsWUFNTw5o1a1i9ejXf/OY3ufXWW8Pqg6985Su8/vrrzJw5kzFjxrBy5Ur+/Oc/s379ep577jkSExP9Zb/+9a/z7LPPkpGRwfTp00lPT2fNmjV84xvfYNWqVTzwwAMBU43uueceXnzxRbKysjjrrLOoqKjg17/+NWPGjAmrbSIiItI1NY2hM50fr63k55tfj8p9IxrEe7PGVHl3nzHGHATeAb5mjPmFtbYW2Bvi2mpjzOs46SrnACub1ZUe4pa+4+2uhrTWPg48HsbbwBizDGdEXrpoz549AEybNq3D1z744IOsXr2aWbNm8dBDD5Gfnw/AyZMn+eQnP8nbb7/NL3/5S774xS8GXPfWW2/xmc98hv/5n/8B4Pjx41xyySVs3LiRbdu28ac//YkzzjgDgBUrVnDHHXfw7LPPcs899wQEyG63m/r6el544QWGDx8OwOrVq7nzzjv54Q9/yLnnnsuwYcPafR+rVq3i6aefZsaMGQAcO3aM6667jm3btrFixQrOOeccAJ555hmeffZZJk2axMMPP8zgwc5sspKSEj71qU/xwgsvMHfuXG655RYAXn75ZV588UXGjBnDE088QWFhof9+n/jEJzrc3yIiItJx1W2MxEdTpEfiA1hrVxpjdgPjgDG0v/j0qHeb4d36FrkOClG+vTnzMeHVQ9t44cAm6priZ4pDamISV42YxuJhk9ov3IbiYie1UkFBQYeuq62t5emnnyYpKYmf/exn/gDeV9fPfvYzLrnkEp566ik+97nPkZqa6j9fWFjIZz/7Wf/+gAEDmDt3LsuXL+eqq67yB/AAZ511FllZWZSVlXHq1KmA+wDcfffd/gAeYN68edx666089thjPPfcc/4PCm259dZb/QE8wMCBA7nooov461//yq5du/xB/B/+8AcAfvjDH/oDeHCmGn3ve9/jyiuv5LHHHvMH8U8//TTgjN77AniA+fPns2TJEh599NF22yYiIiJd09Eg/vtzr+HXW5aRnZzGB8aeweezX2AD+zt83y7NiTfGuIwxPzbGPG2MCfWBoM67TTbG3GeMedYYE2pYdrR3e8i79WWlCZVC0hdhBnvya8x49fD2uArgAeqaGnn18PYu1+ObKtLROdqbN2+mtraWGTNmBAS0PsOHD2fatGlUV1ezaVPg//6pU6eSlBT445iXlwfAxIkTW9WVk5MDQH194D/CxMRELrvsslblzz//fICwc8I3D+B9fEF3dbWz3OP48ePs3buXfv36BW3j+PHjGThwIPv27aO4uBi3283atWtJTk72TzNq7sILLwyrbSIiItI1pc2y0YSjIC2T++Zcwd3TL2RIZi6piZ0bU+9SEG+t9QDXArcQ+EAnAIwxowGDMy3G4ixyvQG4OUjZAd46GoA3vIdf9m6vMsYktCg/Ameh7H5rbUynl1w8dGKn/wf1lNTEJBYPbR1MdpQvWA21iDOU48ePA7SZstE3leXEiRMBx5unr/TxTZPp169fyHMtDRw4sNWHAYBBgwYFtLE9vg8Jzfk+3PgWqx496nwJVVpaijEm6H/HjjlJno4cOUJpaSkNDQ30798/aBuV6lJERCT6SuqqOFJdFnb5M/qPiNi9IxFZ/g54APilMWajtfYQgDFmKPC09x4PWmtrjTGPANcDXzDGvGytXeEtmwU8BuQAD1trjwJYa/caY14GLgXuB77hLZ8J/B5IBH4agfcQVYuHTerytJR4NXXqVN5++202btzIDTfc0GbZoqIinnnmGebPnx80E0tLvie8tlzYGiyo7YzmU3SCSU5Ojsh94PR7KSgo4Mwzz2yzbGZmZpvnIXJ9ICIiIqG9VxyYdebzUy8gKSGB/ZUlPLNnXavyWcltxxYdEYm/9L8AzgcuB7YbY9721jsfJ/XjS8C9ANba/xpjHgTuBt40xqwATgBn42S1eQv4Yov6PwusAL5ujLkGZ0T/TJz58P8BHo7Ae5AoufDCC/ntb3/L8uXLqa+vbzNDzfPPP89DDz3Ea6+9xje/+U0ADh06FLL8wYMHAejfv39kG+3lm8/f0uHDhwFnpD5SfN9YZGZm8pOf/KTd8h6Ph9TUVE6cOBG0X8P9lkBEREQ6r7j2dG6VgenZTMrzfltfUxG0fP+0cLKih6fLeeKttQ3A1cBdwA6crC4LgS3Ap4CrvE919ZX/As50mhU402EuxVmY+iXgQmttdYv69wDzcDLLFAJXAKeArwLXW2vja7J5HzN9+nTOOOMMjhw5wu9+97uQ5Y4ePcqf/vQnAD70oQ8xdepU0tPT2bhxI0VFRa3KHzhwgK1bt5KdnR10DnkkVFZWsmHDhlbHX3nlFcBZQBopw4YNY/DgwRw6dIjdu3e3On/y5EkuueQSbr/9dqqqqnC5XCxYsICGhoageevffPPNiLVNREREAjW53Ww8eZjlR3b6j103aqb/dVpi8G/rJ+RGbgAwIt+5W2ubgF95/wun/DPAMx2o/yDw0c61TnraN7/5TW666SZ+9atfUVtbyyc/+Umys7P953ft2sXdd9/NiRMnmDlzJjfddBNJSUncfPPN/N///R933303Dz/8sH9xaklJCXfffTdut5ubb7653fzzXXHvvffy+OOP+7PWLF26lL/97W9kZWW1Oz2ooz7ykY/wwx/+kHvuuYdf//rX/qfA1tTU8NWvfpV9+/Yxbtw4/3SaD3/4wyxfvpzvf//7TJw40Z9FZ9OmTTzyyCMRbZuIiIg49lWc5Afvv9LqePNR9tyUwOzoOclpnDN4HCOz81te1mmaOCtRZ4zhj3/8I5/+9Kd59NFHeeqpp5g6dSoFBQUcPnyYTZs24fF4/PngffO57777brZu3cqaNWu46KKLmDt3LuDkaq+qqmLRokV8/vOfj1q7CwsLqaio4JJLLmHevHmUlpb6M8L86Ec/6nDazPZ85CMfYf369bzyyitcfvnlTJs2jaysLN5//31KSkoYNWoU3/72t/3lFy1axB133MFjjz3GlVdeycKFC6mvr2fVqlVMnTqV999/P6LtExER6euqGuqDBvAA+amn16wNSM8OOPfj+deFTKTRWQripVvMmTOHl156iSeffJK33nqLrVu3UlNTQ3Z2NgsXLuSaa67h6quvJiHh9AyvtLQ0HnvsMf785z/z/PPP8+6775KcnMyECRO44YYbuOGGGwLKR1pWVhaPPfYYP/jBD1ixYgUAZ599NnfddRfTp0+P+P0SEhL4+c9/zj/+8Q+effZZtmzZgsfjYdiwYdxyyy189KMfbZV558tf/jKTJk3iiSeeYOXKlWRlZXHbbbfxwQ9+kEsuuSTibRQREelr9pSfIDkhkeFZeTy9O3h66URXAhlJp6fQ5KSkMa9wFKuL93HBkAkRD+ABXOFkAelrfE9snTdvnn+edijbtm0DYNKkvpl9RnoP/SyLiIg41hTv551je/B4PGwrddJA3znxLH6/fUXIax45+0OtjlU21JKVnNbmvZYsWcLq1asBlltrzwu3jRqJFxEREZE+z+PxUO9uwgX8accq6tyBuVPaCuBDaS+A7woF8SIiIiLSp7k9bn6y8TX2V5Rw0dCJrQL4WKQgXkRERET6tLXFB9hd7jwB/uVDWzt8/ZdmLI50k9qlIF5ERERE+rSNJYc7fM24nEIyklIYmZXP2JzCKLSqbQriRURERKTPOllbxZri/R2+7gvTLyIhCllnwhW9/HwiIiIiIjFu5fG9nbquJwN4UBAvIjgr8kVERPqadScO8vz+jUHPjWs2RWZC7oDualLYNJ2mi1wuFx6PB7fbHdUHD4lEky+Ij8bDKERERGJRZUMdj2x7K+T584ZMYE7/EdS7m7hgyAReOriF/xzc0o0tbJuizi5KTU0FoKqqqodbItJ5vp9f38+ziIhIb3egsqTN83kpGVww1HDp8MmkJCYxLX8ILly4gDvMwu5pZBs0Et9F2dnZ1NbWcvSo8zSvzMxMXC6XRjQl5nk8HjweD1VVVf6f3+zs7B5ulYiISPdwwvHQ+qWmB+yPzSnkW3Mup8njYWhmvyi2LDwK4rsoPz+fqqoqqqurOXToUE83R6TTMjIyyM/P7+lmiIiIdIuapvpWx7KSUqlsrGN0dgEFqZmtzg/KyO2OpoVFQXwXJSQkMHz4cEpKSqioqKCurk6LBCVuuFwuUlNTyc7OJj8/X+s6RESkz6hubAjYH56Zxx3mTPZWnGBO4YiYn1WhID4CEhIS6N+/P/379+/ppoiIiIhIGCobagP27zALGZKZy5DM2Bltb4uG3URERESkzymrr/G/vmH0LIbEwDz3jlAQLyIiIiJ9Tln96ZH43JS0HmxJ5yiIFxEREZE+p/lIfG5KehslY5OCeBERERHpc8oVxIuIiIiIxI8GdxMlddX+fQXxIiIiIiIxbnd5MY0eNwAD0rLISErp4RZ1nIJ4EREREelTbOkx/+tJeYN7sCWdpyBeRERERPqUvRUn/a/H5w7owZZ0noJ4EREREekzPB5PQBA/Jjs+H9apIF5ERERE+ox6dxO1TQ0AJCckkp+a0cMt6hwF8SIiIiLSZ/gCeID0xGRcLlcPtqbzFMSLiIiISJ9R09gsiE9K7sGWdI2CeBERERHpM2oa6/2v0xIVxIuIiIiIxLxd5cX+1wriRURERETiQFF1mf/1iKz8HmxJ1yiIFxEREZE+40Rtpf/1xH4De7AlXaMgXkRERET6jLL6Gv/r/NTMHmxJ1yiIFxEREZGY4PF4OFpdxroTB2lwN0XlHsdqKvyvs5JTonKP7pDU0w0QEREREVlxdDdP7Fzl37942CRuGD0rovcorqkM2M9Iit8gXiPxIiIiItLjmgfwAP89tC0i9bo9HvZVnKSmsZ41xfsCziUlJEbkHj1BI/EiIiIiElEej4dXD2+nuKaCK0dOIzclvc3yVQ11QY/XNzWSkti5cLXJ4+a5PetZWmQB6JeSzlmDxnaqrlikIF5EREREImrzqSKe27segMSEBD4w9ow2yxfXVgY9vrv8BJPyBnWqDe+fOOQP4AFK62tYW7zfv3/58CmdqjdWaDqNiIiIiETUywe3+l+/UbSj3fIna6uCHq9sqO10G4Ldt/mi1pyUtE7XHQsUxIuIiIhIRFWGmB4TyokQI/GVjfWdbkNmO5lnMpNSO113LFAQLyIiIiIRVdHBEfSTdadH4pObLTatbuzYhwGf2sYG3j95qM0y8ZyZBhTEi4iIiEiEVbUYQQ+1cNWnedA/NCO32XWdG4l/8cCmdsu0N1If6xTEi4iIiEjEBJvHfqiqtM1rapsa/a8L0rL8r6s6ORL/6uHt7ZbRdBoREREREa8tp460OvbgpqUcb7aotKWtza7JT830v245ot9Z982+vNWxgrTMICXjh4J4EREREYmYYyGC9XvXvsBrQUbIj1SXBeznp2b4X7cV+AdztLqM+9a+GHBsRv5QhmT244rhU/3Hrhs1k0RXfIfByhMvIiIiIhHTVuD9zJ51zC8cRXaz9I7Nc7cDjMzO978+VlPB19f8i2/Mupz0pOR27/33fRs4WlMecOzOiWcBcPWo6Vw1chp1TY2khVFXrIvvjyAiIiIiEjPK6mtY0yIob6m0viZg3+3xBOz3T8tiQLN58Sdqq3jl0FbCsaFFRpqRWfkBT3x1uVy9IoAHBfEiIiIiEiE/3/S6/3UCLsbnDGhVpt7dGLDfct57bko6OSnpAce2BZlnH0xaYuAkk7MHjQvrunikIF5EREREuqyuqZGiZvPbExMSWDJ+XqtyNY0NAfvLj+z0v/6YOROAlGa54p26Avdbcns8vHJoa0CWG4D5A0aF1fZ4pCBeRERERLos2AOeBmbk8NtFHww4Vtt0OojfXFIUcC4r2Un7OCV/SMDxjHamwLx9dDd/3/t+wLGZBcMCptL0NgriRURERKTLKls80OmWMXMAZx76WQPH+o/7RuIrG2r51ZZlAdfkeTPTnDt4PP2aTalpWbdPg7uJ4zUVPLVrdatz14+e2eH3EE9678cTEREREek2LR/MdNag04F7WtLpkLPGOxL/+uEdrerIS3GC+OSERL4w/SLuXfsCACdrq/B4PLhcLpo8bt4o2sFze9bjxtOqjpZ19VYK4kVERESky+qazUefWTCMBJfLv5+emOJ//dze9RytLms1up6ZlBKQOaZfSjpJrgQaPW7KG2qxZccYlpnHF1Y+F1Z7evNUGlAQLyIiIiIR0DyIT20RQLfM8b7i2J5W19/b4qmqKYlJzCkcwarj+wDYXX6CN4paj973VQriRURERKTLAoL4hBZBfGL7udn7tUgrCTAko5//9fsnD3GgsqTzDexltLBVRERERLqs+Sh586k0APmpme1e72pxDQQG/x0J4H2LanszjcSLiIiISJcdrSn3vy6rD0w3OS63sM1r7zALgx5vOQ2nLQm4+MC4M8hKSmVmwbCwr4tXCuJFRERE+rhDVafYePIwcwtHUZie1eX6TL+BAfvJCYl8acZifrzh1aDlz+g/MujxUEF8v5R06t1NVDfWk5aYzPfmXkWSKzFgYWxvpyBeREREpA9rcrv51eZllNbXsLHkMF+ZeUmn6slMSvWnmZzTf0Sr82NzChmW2Y9DVaUBxx9ccCOJCcFneI/KKsAFrRJJFqRl8sGxc9lVXsy8wpFkeh8S1ZcoiBcRERHpw07WVVFaXwPA3oqTuD1uElwdWzbp8Xioaar374caQf/IhAX8dfd75Kakc+nwyQzLzGs1f7657JQ0vjXnSu5778WA4+mJKQzPymN4Vl6H2tmbRCSIN8YkAp8FPgYYoBpYC/zCWvvvIOUnAN8GFgEFwC7gUeA31lp3kPJDgPuAxcBg4CDwJ+DH1trgj/ASERERkXYdazaXHeBIdTlDM/t1qI4GdxNujzNenuRKIDkhMWi5EVn53DNjcYfqHpSRw4VDDUsPW/+xrD448t5SpLLT/BH4BTAKWAq8B5wLvGiMubd5QWPMDGAN8AFgP/AyMBz4JfBEy4qNMcOAVcAngFLg30A2cD/wsjGm70x+EhEREYmwF/ZvCthfU7wfcEbXm6eNbMvBqlP+1xlJKW2U7JyUFikrC8LIdtPbdTmIN8bcDCwBLDDBWnuFtXYxMBsoA75ljBnvLevCCdRzgCXW2kXW2uuBCcBG4FZjzA0tbvEQMAy411o721p7IzAOeA04D7irq+9BREREpK+qbxGoVzXUUdPYwHfX/4cvrHyOdScOtlvH3/e+739d3lAbumAnLRo0NmB/bG7/iN8j3kRiJP427/Yr1tpjvoPW2i3AU957XOw9vBiYDiyz1j7ZrGwx8Gnvrj8oN8YY4EpgN/D9ZuWrcKbuNAGfi8B7EBEREemTalsE8W8e3cXn332GQ1WlNLibeGTbW+3Wsau82P86qYPz6cPRPy2L/512AVPzBvOhcXOZ3G9wxO8RbyLRyzcC04D/BDmX7d36fjou9W7/2bKgtfYd4DiwyBjju+4SwAW80HKuvLX2ALAOGGmMmdyVNyAiIiLSV1U31rdbxuMJzA9TWlcdMNVmWLM59B8cd0bE2tbcxH6D+NzU8zl38PigD4bqa7q8sNVaWw9sbnncGHMlcBNQyemgfYp326q8rzpgADAZZx58e+W3A3NxPkRs7WDTRURERPq0JrebOnf7897vWfUPFg0ay9Ujp7Ox5DC/3foW6UnJfHvOlWQlp3C8psJfdnr+0Gg2WbwimmLSGJOOkzVmMjAJOIAz9903zcb33ceREFX4jvueENDR8iIiIiISpqowRuEBKhpq+c/BLZyorfQvfK1urOfZveuYWziSencTADnJaeSkpEetvXJapPPEjwBaLkydDrzpfe1bSlwd4voa79b3qLCOlg/JGHM7cHt75bxmhllOREREJG6tD2PRanO+AN5n1fF9rDq+z7+v1I/dJ9JB/CGgP+AGLsJJO/krY0ymtfZHOAtRofWDt1ryzdXvaPm2jMJJeykiIiLSZx2oLKG8vpaUxCT+vHtNq/NJrgRyU9I5WVfV4brTEpX5u7tENIj3Zo3x/R9/xhhzEHgH+Jox5hfNzoX6nsV3vNK77Wj5tuwDlodRDpyR+Nwwy4qIiIjEhYOVp/j++lfwhBgffeTsDwHOQta9FSf50Yb/dqj+tMRIjw9LKFHtaWvtSmPMbpy87mOAIpwAeRDOotSWWs6BL/JuB4W4RXtz5pu35XHg8fbKARhjlqFRexEREellnti5KmQA35zL5WJMTsdzsSdEIb2kBNelnjbGuIwxPzbGPG2MCfWBoM67TeZ0lplWKSG9D4KaiDOFxpdpJmR5r0ne7aYQ50VEREQEWHlsLwcqS0Kev2bkjFbHvj7r0iAlQ6tpCm+hrHRdl4J4a60HuBa4hdMPdPIzxowGDM60GAu87D11bZDqzgQKgbettb48Rb7yVxljAtpqjBkBzAL2W2uVXlJEREQkhLqmRv64492Q5y8eNokLhkxodXxEVj6/XfRBxuYUhnWfJFdip9soHROJ7zx+593+0hgzzHfQGDMUeBpnys5vrLW1OHPStwCLjTEfb1a2EHjIu/tT33Fr7V6cQH4icH+z8pnA74HE5uVFRERE+hK3x8PeihPUNwXP9e7xeDhUdYq1LbLKNDclbzA3jJ5FWlLwRakul4v/N+Vcbhw9q932JOohTN0mEnPifwGcD1wObDfGvO2tdz5O6seXgHsBrLVuY8wdwFLgd8aYj+HMez8PyAMetda+0KL+zwIrgK8bY67BGdE/E2c+/H+AhyPwHkRERETizl93v8eyIzsYnJ7DN+dc3mpO+m+3vcX7Jw+1WUd2GGkhM5JSWDxsEvsrS/xpJgvTshiWmcf6k6fTVA7LyuvEu5DO6PJIvLW2AbgauAvYgbMgdCHOiPungKu8T3X1lV+NE+A/B4zHmYaz31v200Hq3wPMw1mUWghcAZwCvgpcb61t/zFjIiIiIr3QsiM7ADhSU86usuKAc8drKtoN4AEyk8LP7f6BsXMYmJ5DXmoGn5l8Dp+afDafm3IeyQmJFKRmcvnwKR17A9JpEclOY61tAn7l/S+c8luBGztQ/0Hgo51rnYiIiEjvV93i6auldcGflXnZ8Cn85+AW/35mBx7QlJWcxrfnXIEHj3/Uf2r+EH6y4HpSEhKVnaYbKZmniIiISC/Q4G4K2K9oqAtabkSLKS8FqZkduo/L5cJF4Nx3PeSp+ymIFxEREYlD5fW1Afu7K06wt/IkswtGkJuSxu+2v93qmryUjFbTZ/qndSyIl9igIF5EREQkDj21a3XA/htFzvz4d47uYVR2QdBrPjPlHDwtnvWUnZwWlfZJdGnikoiIiEgcCrVotaapgW2lR4OeK0jNJC0pcAy3I3PiJXZoJF5ERESkj8hMTqW+xdz5jBD54SW2aSReREREJM54PB4yklLCLp/kSuAL0y4EICc5jdREZxw3LzVDGWXilEbiRUREROLMzvLiVikl2/Kj+deR5Z02k5iQwP9MPZ/3ThzgzIFjotVEiTIF8SIiIiJxxpYe61D5rBbz3sfmFDI2pzCSTZJupu9PREREROLMiwc2+V8Pzshts+xleopqr6SReBEREZE4UtvYELB/9qCx/G3PulblPjlpEf1SMhiVnd9dTZNupJF4ERERkTjy8qGtAfvnDZ7Q6imseakZTMsfypic/lq42ktpJF5EREQkjtQ1BY7EJyYk8PmpF7Cj7Dgjs/LZW3GSsTn9SU5I7KEWSndQEC8iIiISR+qaGv2vrxg+FXDyv8/qPxyA/LTMHmmXdC8F8SIiIiIx7FRdNf89tI2clDQuHjaJ2mZB/KCMnB5smfQkBfEiIiIiMcrj8fDQ1uUcqDwFQL+U9IDpNGmJetpqX6UgXkRERCRGVTc2+AN4gMd3rAw4n5aoUK6v0nJlERERkRhV09T2U1nTk1K6qSUSaxTEi4iIiMQgt8fNX3atabNMv5T0bmqNxBoF8SIiIiIxaFNJEZtPHWmzTGZyaje1RmKNgngRERGRGLSlnQB+bE5/ElyubmqNxBqthhARERGJMR6Ph+VHdoY8Pz5nALeOn9uNLZJYoyBeREREJMYUVZeFPHfBEMMtY+d0Y2skFmk6jYiIiEgL20uP8uMNr/LKwa09cv/S+uqgxzOSUrhs+ORubo3EIo3Ei4iIiLTwR/supfU17C4vZlr+UIZk5nbr/Ssb6gL2Lxk2mbmFI+mXkk52Slq3tkVik0biRURERJqpaqijtL7Gv/+zTUu7vQ3FNZX+1xcMMVw/eibDs/IUwIufRuJFREREgNqmBv61byOvF9mA4+UNtXg8HlwtMsEcqCxhc0kR8waMon9aVkTacKK2klcPbWNZs0WtI7PzI1K39C4K4kVERESAd4/tbRXA+1Q31gfkZK9vauSXm5dR0VDL5lNH+NKMxRFpw1M7V7O19GjAscHp3TuVR+KDptOIiIiIAGuK94U813x6DcC+ipNUNNQCsLu8GLfHE5E2tAzgAfJTMyJSt/QuCuJFRESkz3N7PNQ1NYY8f6rudLaY8voa3jm2J+C8LT0WlXYlJySSpaeyShAK4kVERKRP23jyMJ95+y8cqioNWcY3El/b1MD9617i3eN7A87/ZuvyLrfDE2Q0P8HlajUXXwQUxIuIiEgf5vF4eHjrmwSbDDMqu8D/usybt/294gNUtEj/CNDgbqLR3dSltgT7JqCtbwekb1MQLyIiIn1WWX0N7iAh/IIBo5lfOMq/X1pXw66yYv65b0PIuo43SwvZUnl9LX/etYaXDmwJGewH+3AgEoqy04iIiEif1XLBKkC/lHQ+ahay7sRB/7E3j+7izaO72qzrSHVZwEOhPB4P20uP8drhbWw+dcR/vLapgetHz2x1fVmQp7ReMkxPZ5XgFMSLiIhIn9VygeqiQWNZNHAsAHkp6R2q62hNecD+s3vX89rh7a3KvXJoK2cNGkN6Ygo5zR7eVFIXGMTPLRzJZcOndKgN0ncoiBcREZE+qaS2iuXNHqo0s2AYS8bP9+/npnYsiK9qNh1md3lx0ADe55trXzz9evblDM3sx/7KEv+xS4dP5rpRMzt0f+lbNCdeRERE+qTD1aUB+4muwLAoN7ljQXxNU4P/9f6KkjZKBrp/3UsA7K044T82Jrt/h+4tfY+CeBEREemTWmZ+aWix4DQxIYHBGW0/LbV54F/TeDqIDzbXvr22HKk+PR1nZFZ+h66XvkdBvIiIiPRJ21o8HXVQRk6rMt+acwUFqZkh67hlzBz/65qmev/rkrqqDrXlrnf+RnWjc32iK4GcDs7Hl75Hc+JFRESkT3r76O6A/cVDJwUt9605V7Dy+D76p2VicgeyrfQoJ+uqGJ9TSIPb7S93vKbC/3pP+YlgVYUlLzWdBD3gSdqhIF5ERETiUkV9LZtOFZGTnMbEfgNJSkj0n2t0N2HLjjE0ox/9UjPareusgWMCMsU0l5KYxDmDx/n3p+YP8b9ucrtJTkikwd1ESV01NY0NpCUmBUynuWDIBF4v2hH2+8pLCT3yL+KjIF5ERETi0sPb3mJ3eTEAwzPz+PqsS3F5R7D/tmcdy4/sJDMphe/NvYb0pORW17vA/5iny0dM7VQbEhMSyExK8QftNU31VDfW0+RxRuhTE5K4btRMRmUXMDgjl4LULB6zKwLyxreU18GsONI3aU68iIiIxJ0Gd5M/gAc4WHWKFd6c7yebpY6saqxnZ9lx3B4PG04eYqs3eC6qKg14TmtmUkqn25KeePoDQk1jA99f/7J/PykhkZTEJOYPGM2IrHwyk1P43NTzeXDBjUzNGxy0vv5pWZ1ui/QdCuJFREQk7pTWtc7+8qedqwDYWXY84PiJ2krWFu/noa1v8ovNb7D11JFW8+FTE1uP1Icrrdko/76Kk1Q2ns4X3z8t+NSYzOQUrh45I+i5YZl5nW6L9B2aTiMiIiJx52BV8Dzsu8qKAxaYgvMk1ZX79vr3/7D9nYBAG+jSQtLmI/FPeD9I+Fww1IS8bmR2Pp+ctIhtp47y5tFd/uPtpbUUAQXxIiIiEof+sP2doMcf2fYW5Q21Acd2lh2nzn06J3zLAP6zk8/tUlsGZ+SytUW6SoCc5DQWDBjd5rWz+49gdv8RHK4uY3d5MQPTcxiUkd2l9kjfoCBeRERE4k6jxx30eHlDLbkp6ZQ1yw5TVF3WZl1ZyaldasvonP5QZFsd/6hZGHYdn5l8DptKDjOx3yASXJrtLO1TEC8iIiK9SlkHn5Y6NLNfl+6XlRT8Q8DYnMLw60hOZeHAMV1qh/Qt+qgnIiIicSe5WU74rvjuGVeTmti1Mc0JuQNaZZSZ1G9Ql+sVaYt+ukRERCSuVDfW0+BuAiDJlcBHJizgDzb4HPm23D/nSgrTu57OMTEhgXtnXcaR6jJ2lRdzpLqMa0YFzzwjEikK4kVERCSu7Ks46X89JLMf8waMYk3xfjaWHA4ol5uSzk2jZ/H7IAH+0Ix+FKZHbgFpWlIyo3P6O/PjRbqBgngRERGJG5UNdTyx43Qax9HZBQDM7j+8VRD/2cnnMjI7nzp3I8/sWcfs/iO4ZcwctpcdY1xOYZfSSor0NAXxIiIiEjce2fYWp+qr/fvjvItHFwwYTaIrgdqmRpo8bgrTshiZnQ/AokHjOHPgWH/QPrNgWPc3XCTCFMSLiIhIXDhRW8mOFk9jnZ4/FACXy8W8AaNCXqtRd+ltlJ1GRERE4sIze9YF7I/IyictKTlEaZHeTUG8iIiIxLzimgreP3ko4NidE8/sodaI9DwF8SIiIhLzWj519Q6zkIHpOT3UGpGepyBeREREYt57Jw4E7M8tHNUzDRGJEQriRUREJOYdrDzlf33Z8ClaqCp9noJ4ERERiWlNHjfFtZX+/RnejDQifZmCeBEREYlph6tKaXA3AdAvJV1PRRVBQbyIiIjEMLfHw/fWv+zfH6MAXgSI0MOejDGJwKeBjwCTgERgD/A08IC1trZZ2bOBN9uo7ilr7W0t6p8AfBtYBBQAu4BHgd9Ya92ReA8iIiISe3aUHQvYnz9gdA+1RCS2dDmI9wbw/wKuACqBlUADsAC4H7jCGHOBtdb3jORZ3u07wN4gVa5oUf8MnKA/x3tuDXA+8EtgPnBbywpERESkd9hTfjJgf2LuwB5qiUhsicRI/J04AfxG4HJr7WEAY0x/4HlgIXAv8FVveV8Q/yVr7QraYIxxAU/gBPBLrLVPeo8XAq8Btxpj/mGtfS4C70NERERiTPMkNP1S0vWEVhGvSMyJv927/bwvgAew1p7AmWID8IFm5WcBbuD9MOpeDEwHlvkCeG/dxc3qvqtTrRYREZGYV1pX7X99/hDTgy0RiS2RCOJPANuB1UHO7fBuhwAYY1KAycB2a21VGHVf6t3+s+UJa+07wHFgkTEmu4NtFhERkTiws6zY/zo7ObUHWyISW7o8ncZae1Ubp+d6t4e826lAMrDPGPNd4AZgFHAUeA74rrW2tNn1U7zbzaFuDwzA+WCwqqNtFxERkdhV09hAUXWpf39a/pCea4xIjIlaiknvfPbveHd9c9Z98+EvBz6Pk8HmbSAP+AKwyjvf3Wewd3skxG18x7XKRUREpJfZX3kSj/f1sMx+5KSk92h7RGJJRFJMhvB94BzgGPCA95gviF8O3OidN+9bBPs0cCHwW5wReoBM7/b0hLhANd5tVnuNMcbczun5++2ZGWY5ERERiZKiqjL/65FZBT3YEpHYE5Ug3hhzP/AVoA642bsQFeB/cVJDHrHWVvjKW2tPGGM+jDOH/jpjzGBr7RGgyVvEQ9vC+UZhFHBu+O9CREREusux6nKOVJcxLreQDScPMzankNL6Gv/5grSMHmydSOyJaBBvjEkCfgN8AqgFrrfW+h/sZK1t4PRi1wDW2iJjzDrgbGA28G/At/g11PdnvuOVYTRvH843AOGYCeSGWVZERES6YH9FCd9//+U2y+SmKIgXaS5iQbwxJgt4BiejTClwTfMAPkxHvVvfv9QinIB6EE4GnJbamzPvZ619HHg8nEYYY5ahUXsREZGoq2tqbDeABxiYrkR0Is1FZGGrMSYPWIYTwB8Ezg4WwBtjfmWM+YcxZkCIqnzPUvZls/FlpZkcpC4XMBFnys3WzrdeREREesqyI0G/oG9lTE7/KLdEJL50OYj35n5/CZiDE0yfaa0NlRLyTOBaoFVaSmPMVJyFryeB97yHfR/Nrw1RVyHwdvP59SIiIhI/DlaearfMnP4jSHRFLaGeSFyKxL+I+4EFOCPw51lrD7VR9hHv9vvGmIm+g960kn8EEoEfW2vrvaeWA1uAxcaYj7co/5B396cReA8iIiLSjUrqqnijaAe7yovbLTurYFg3tEgkvnRpTrwxpgC4y7tbDPzMmOCPRLbW3gb8HlgM3AhsMMa8hbN49XwgG/gbzYJya63bGHMHsBT4nTHmYzjz5M/DyS3/qLX2ha68BxEREel+v936FvsrS0KeP3/IBFYd38vwzHxm9R/ejS0TiQ9dXdh6LqczxMz2/hfKbd6g/Gac7DV34kyJceOMtj8K/MFaG5BO0lq72hgzH2fE/3ycp77uBL6K86FARERE4khtU0ObATzANSNncPOYOSS4XN3UKpH40qUg3lr7d6BD/7q8QfojnJ5aE841W3FG70VERCTOldRWtVsmPSm5G1oiEr+0SkRERES65Pn9G/nl5jc4XFXabtkmt5tvr3sp6LnkhEQSXC4+O1lZnkXaE5UntoqIiEjfsKf8BP8+4CSl23LqCL9YeBNpbYyiv15kgx5fPHQiFw+bhNvjoV+qHuwk0h6NxIuIiEinbS89GrD/tz3r2iz/7N71Afs5yWksHDCay0dMJSclXQG8SJg0Ei8iIiKd1nLu+opju1lxbDcAd048i7mFIwE4XFXKjrJjra5/YMH10W+kSC+kIF5EREQ6ra6pMeS5329fwZz+I6hqqON761+myePuxpaJ9G6aTiMiIiKdVtlQ3+b56sY63jm2J2gAf+u4edFqlkivpyBeREREOq2qsa7N83srTlLRUNvq+OR+gzhn8LhoNUuk11MQLyIiIp1W1dj2SPzOsmJqg0y5yUpOjVaTRPoEzYkXERGRsFU31rP6+D5GZuczKD2XDScPtVn+ZG0lZfWtR+L7p2VFq4kifYKCeBEREQnbc3vX8/ZRJ/vMsMx+AeeGZORSVF0WcGztiQOt6shOTuWCISZqbRTpCxTEi4iISNh8ATzAoRZPaP3yzIvZeuoIO8uKQz7U6XtzryY3JZ3khMRoNlOk19OceBEREQmq0d3EwcpTeDweANzebShpicnM7j+Cm8bMDlmmf1qWAniRCNBIvIiIiLTi8Xh4YONr7Ks4yaJBY1kyfn7QLDPBJLhcQY9/bealkWyiSJ+mkXgRERFppai6jH0VJwFnCo3H46GktqrT9X1kwgJGZudHqnkifZ6CeBERkR50rKaclcf2UtNOqsbusKvsOH/b8x7bTh3l/nUvBZw7WHWKE3Whg/jPTTkvYP8zk88hyeWEGV+ZeTFnDhwT8faK9GWaTiMiItJDahsbeGDDa1Q01DKn/wg+MWlRj7WlvqmRn2x8DQ+w9HDrRakbTx4OOZf9ljFzmJo/JODYjIJh/GTB9aQkJpHo0pihSKQpiBcREekhW0uP+OeZv3fiAB6PB1eI+eTRdqS6nLaWrTZ4miivCz4nPj81I+jx9KSUCLRMRILRR2MREZEoqG1q4Gh1uT+zSzCn6qoD9neXn4h2s0LaX1nS5vnqhnpKgkynyUlOY1Le4Gg1S0RC0Ei8iIhIhFU31vPt9/5NaX0N14+aySXDJwctV9FQF7Bvy45RVl9Dbko643ILu6Opfk/tWt3m+crGOk42W9j6mcnncLymgsl5g0lNVDgh0t30r05ERCTCVh7bS2l9DQB/3/c+Fw+bFHSazLGa8oD95/dv9L/+mDmTuYUjOzS9ZlfZcYqqy5k3YCRpiclhX9fWtwU+xTWVASPxY3P6M6NgWNj3EJHIUhAvIiLSCYerSnn32F7G5xYyOW8wyQmJnKqr5lDVKY62CM7fObaHswaNDThW1VDPuhMHQ9b/B/sOf939HmNzC/nExLPYWHKYfx/YTEFaFjePmU3/tKyA8idqK/npxqW48XC8poIbx8wKWXeT282ze9dRXl/LRcMm8sjWtwPOLx46iVcPbws4drDqlP91SkIimUmpIesXkehTEC8iItIJf9j+DoerS3n18DZSE5P42sxLeXDTUsq8I/DNPbFzVasg/u6Vz7Z7j8rGOjacPMRnV/zVf+xQVSlHqkq5/4yrAkbpXzm4Fbd3aeqrh7dxw+iZIUfxXzq4hdeLdgCw9sSBVudvHDOL60bN4ERtJT/b/HqrufuZSak9tgBXRBxa2CoiItJBTW43h6tL/ft1TY3c996LQQP4YOqbGrt0/+O1ldS2qOPNo7sC9r+48u+sPr4v6PUvHtgUsu5F3g8biQkJDMzIISVIWslT9dWtjolI91IQLyIi0gH1TY18p8WDkNrTMr9686kpnVXVeHpRbEV969SPlY11/MG+0+r43nYy4IzMCnyq6jmDx7cqMyq7INxmikiUKIgXERHpgNcOb+dIiznv7Ulq9rCjE7WV/HjDq11uR2WzzDYts9w013LR6urifW3W23Ku/ficAa3K3Dg69Hx7EekemhMvIiISJo/Hw7+aZZAJV01TA599+2kaPe5W58bmFOLxeNhT4YyQT84bzNZTR9qtc/mRnWw5VURSQiLDM/NClltTvJ95A0bR5HFzvKbCPxc+mPOHTGBiv0EBx0Zkta57QHp2u+0TkehSEC8iIhKmlcf3dvraYAE8QHZyKpcPn8qDm14jyZXIbePm0ehuYmvpUZYf2cmR6rKg171zbE9Y911/8iBnFI7kB+tfCTmN56Yxs7lo6MSg51wuF9894yq+sfYFANISk8lJTgvr3iISPQriRUREwvT4jpUB+8My+3GoqjTg2MXDJpGAi3G5hSw9bNlWerTNOqflD2Vkdj4PzL+eBJeLJO/8+YEZOSwcMJr/efeZDrUxAZc/Sw3AllNHOFpdHjKA/8L0ixiX0/aDpQrTs7lm5Aw2nzrMNSNnKDONSAzQnHgREZEwlNa1zshyz/TFXDjU+PfH5wzgulEzuG70TKblD2VIRm6bdc4uGM7CgaMBSElM8gfwPmlJySwZPx9wFsf+77QLaC98vnCo4beLPujP417X1Mi20uDTc+6ediETcgeQEEZQfvmIKXxpxsWYfgPbLSsi0aeReBERkTD85+DWVsfSkpK5ecwczhw4hor6Oky/gQEB8YgWmV5a+uTks9u971kDxzAqO5/s5DRyU9L51ORzeHjrmyHLF6Rl4nK5GJqZy46y4wD8bc+6VuV+MPca8tMy272/iMQmjcSLiIiEYdmRwAWhJvf0iPSwzDwm5Q1qNaI9p3BEQGaa5j49+Zyw7utyuRiWmUduSjoAMwuGtfnhYGreUAAGt/EtwGcmn6MAXiTOKYgXERFpR3FNZcD+3MKRfHJS+6PoyQmJ/GTBDVwwZELA8ZFZ+cwsGNbp9hyqDD6/fcGAURSmOykiQ03l+eL0i5jRhXuLSGzQdBoREZE2VNTX8o21zwcc+5g5M+zFnelJydwy9gyuGDGVh7a+RaO7KexR+FCaL1xtbnb/Ef7XoUbix7aziFVE4oOCeBERkTasKd4fsD84PadT2VmyktP40ozFEWlT81zyk/sNos7dyIC0bKblD/GXCTYSf/3omWEtYhWR2KcgXkREpA0tR71zU9N7qCWn3TR6Fr+trSI7OZVPTj6btMTkVmWyU9LITk6joqHWfyw9SDkRiU+aEy8iItKGuqbGgP2RWQU91JLThmT24/4zruSeGYuDBvA+/zvtgoD9uYWjotwyEekuGokXERFpw7Ga8oD981ssUo1lQzP78dtFH6Skrprs5FRSEvVnX6S30L9mERGRNhRVlflf3zP9IvJSM3qwNR3ncrkoUDpJkV5H02lERETaUNlY53/dL84CeBHpvRTEi4iIhFDf1Ehlw+kgPisptQdbIyJymqbTiIiIBPHC/o28eGCzfz/JlUCq5pSLSIzQSLyIiEgL9U2NAQE8QH5qRqfyw4uIRIOCeBERkWY8Hg+rju9rdXxYVl73N0ZEJAR9LygiIn1ecU0F/9i3gcEZuZyqq2LFsT2tygzPVBAvIrFDQbyIiPR5Lx7YzHsnDrRZZrhG4kUkhmg6jYiI9Hkrj+9tt0wsPKlVRMRHQbyIiEgYclLSeroJIiJ+CuJFRKRPW3p4e7tlPjx+fje0REQkfJoTLyIifVpbU2k+OWkRWUmpjMsd0I0tEhFpn0biRUSkT/J4PLx+2HKg8pT/2MXDJpGa4Ixv3TRmNrP7j2BCv4EkKD+8iMQYjcSLiEiftKPsOH/d817AsetHzeSioRMpr69lWGa/nmmYiEgYFMSLiEifs6P0GD/b9Hqr4y6Xi9yUdHJT0nugVSIi4VMQLyIifcqKo7t5YueqVsfnFY7sgdaIiHSO5sSLiEifsb30aNAAHuD60bO6uTUiIp2nIF5ERPqMp3atCXr881MvIC81o5tbIyLSeQriRUSkzzheUxH0+PCsvG5uiYhI12hOvIiI9Hoej4f/Ht4W8nxWcmo3tkZEpOs0Ei8iIr3e+ycP8fe97/d0M0REIkZBvIiI9HrP798Y8txHJyzsxpaIiESGptOIiEiv1/KJq7MKhnPp8MnUNDYwsd/AHmqViEjnKYgXEZFez0VgEL9o0FhGZRf0UGtERLouIkG8MSYR+DTwEWASkAjsAZ4GHrDW1rYofwZwHzAXyAK2AL+w1v45RP0TgG8Di4ACYBfwKPAba607Eu9BRER6r/KG03+Gzho4hqn5Q3qwNSIiXdflOfHeAP5fwK+AicBKYBkwBLgfWGaMyWhWfjHwDnAZTvD+BjANeMoY870g9c8A1gAfAPYDLwPDgV8CT3S1/SIi0rvVNzVSXl8DOCPyHxw3t4dbJCLSdZFY2HoncAWwEZhorb3IWnsZMB54F5gP3AtgjEkHnvRet9hae6G19iqcIP4Q8DVjzBxfxcYYF06gngMssdYustZeD0zw3u9WY8wNEXgPIiLSS+2rOInH+7owLZPkhMQebY+ISCREIoi/3bv9vLX2sO+gtfYEzhQbcEbRAZYAA4CnrLVvNCu7G/iyd/euZnUvBqYDy6y1TzYrX9ys7ublRURE/IqqyvjppqX+/TE5hT3YGhGRyIlEEH8C2A6sDnJuh3frm3x4qXf7zyBlXwSacKbZ+IQsb619BzgOLDLGZHeoxSIi0ic8uWtVwP4IPZlVRHqJLgfx1tqrrLWTrLVVQU77Jh4e8m6neLebg9RTDhQBhcaYge2V912G8x4md7jhIiLS6+0uPxGwn5Oc1kMtERGJrKg97Mk7n/073t3nvNvB3u2REJf5jvuC+I6WFxERAWDp4e2tjuWnZfZAS0REIi+aeeK/D5wDHAMe8B7z/fasCXGN73hWi/LVYZYPyRhzO6fn77dnZpjlREQkBtU1NfKPfRsCji0cOIbR2f17qEUiIpEVlSDeGHM/8BWgDrjZuxAVnDnvLmutJ+TFDt83BE3ebbjl2zIKODeMciIiEuf+smsNDe4m//5HJizgzIFjerBFIiKRFdEg3hiTBPwG+ARQC1xvrX2zWZEqoJ8xJq3lA6C80r3bymblmx9vr3xb9gHLwygHzkh8bphlRUQkRrg9bt4+uod3j+/1HxuemacAXkR6nYgF8caYLOAZnIwypcA1LQJ4cBau9gMG4QTVLbWcA1+EE1APwsmA0175kKy1jwOPt1cOwBizDI3ai4jEndXH9/PUrsBkaVeMmNpDrRERiZ6ILGw1xuThPKX1UuAgcHaQAB5OZ5lplU3GGJODk4qy2Fp7LIzyLpwnxDYBW7vSfhER6R1WNhuBBxiZlc+s/sN7qDUiItHT5SDeGJMCvATMwQmmz7TWhkoJ+bJ3e22Qc1cBid66wil/JlAIvG2trehYq0VEpDeqa2oM2L/DLOyhloiIRFckRuLvBxbgjMCfZ6091EbZ53Ae0HS7MeZy30FjzBjghzgLWB9sVn45sAVYbIz5eLPyhcBD3t2fRuA9iIhIHHN7PDy89U32VJzOC//VmZcwKEPLm0Skd+rSnHhjTAFwl3e3GPiZMSZoWWvtbdbacm8w/hzwojFmOVABXAhkAF+31m5sdo3bGHMHsBT4nTHmYzjz5M8D8oBHrbUvdOU9iIhI/Glyu2nyuElJdP6M2dJjvH/y9BhSZlIqI7Lye6p5IiJR19WFredyOkPMbO9/odwGYK193hhzLvBNnBF8F7AReNBa+0zLi6y1q40x83FG/M8HpgI7ga8Cv+9i+0VEJM6cqqvme+tfpt7dyLUjZ3DmwDH8ZffagDI5KWkkuFw91EIRkejrUhBvrf07ThDe0evewVkEG275rcCNHb2PiIj0Ps/sWUdFg5Ol+K973uOve95rVaa2saG7myUi0q0ikp1GRESku2wsOdxuGeWFF5HeTkG8iIjEleZPYg1mdHYBFw2b2E2tERHpGRF9YquIiEg0NXncJLkSaPS4g57/0Ni5nDtkfDe3SkSk+2kkXkRE4kZxTWXIAB4gKzm1G1sjItJzFMSLiEjcKKou878OlkJyaGa/bmyNiEjPURAvIiJx40h1qf/1+NzCVucHZeR0Y2tERHqOgngREYkLDe4mnt+/yb8/JKMfC71ZaJJcCfxw3rU91DIRke6nha0iIhLz3B43/2/FXwOODc/MY2bBUAal5zA6u4C81Iweap2ISPdTEC8iIjFv1fF9AfvpicmMyMrD5XJx6fDJPdMoEZEepOk0IiIS8/57aFvA/nfnXo3L1eEHhouI9BoK4kVEJOblt5gqo1SSItLXaTqNiIjErLqmRvZVnKSqsd5/7GPmzB5skYhIbFAQLyIiMcntcfPLzW+wq7w44PjAdKWRFBFREC8iIjFn+ZGd/HnXmqDnMpJSurk1IiKxR3PiRUQkppTX17YRwCdTkKZUkiIiCuJFRCRmHKku455Vfw95fm7hKBJc+tMlIqLpNCIi0qPqmxopqasmOzmNH2/4b5tlFw4c3U2tEhGJbQriRUQk4mqbGkhNSGo3l3uju4nvrv8Px2oq2q0zJSGR0dn9I9VEEZG4piBeREQi6j8Ht/DPfRsAmD9gFLeOm0dqYhKN7iaqG+vJSUn3l91dfiJoAJ+dnEZWcipHqsuY038ECweOZmK/Qd32HkREYp2CeBERiag3inb4X686vo8x2f1ZMGA033rv35TW13CHWci8AaPYXV7Mg5uWBq3j3tmXkZOcRlVjHVnJad3VdBGRuKEgXkREIqbR3URZfU3Asf8e2sZfdq/17//BvsMf7bu48QStY3B6Drne0XoF8CIiwSmIFxGRLvN4PBRVl2FLj7U6d7KuqtWxUAH8+JwBfGry2RFvn4hIb6MgXkREuuzPu9bw5tFdXarjJ/OvJztFI+8iIuFQsl0REemSd4/tCRrAJyckhl3H3dMuVAAvItIBGokXEZFOq2msD/l01QcX3MCu8mIe2vomje6moBNoHlr0ARL18CYRkQ5TEC8iIp22u/wE9e6moOdSEpOYnDeYX591CwA7So/x02bZaP5n6vkK4EVEOklBvIiIdNrGksNBj4/Kym91bEK/gVw3aia7yo9z4ZCJTMpT3ncRkc5SEC8iIm0qqiojMznFn/bR7XHz5M7VrDi2J6Dc7RMWsLZ4PzvLirlo6MSgdV06fDIwOdpNFhHp9RTEi4hISO8e28PjO1YC8JnJ5zCjYBhbTh1pFcDnpWR4n6w6BrfHQ4LL1RPNFRHpMxTEi4hIUE1utz+AB3ho65tcPnwKR2vKW5W93SwgJdH5k6IAXkQk+hTEi4hIUPsqT7Y69tLBLUHLTuyn+e0iIt1JaQFERCSooqqysMpdOMREuSUiItKSgngRkThzrKacDScP0eRxR+0e+ytKeHLX6nbLDcnI5fIRU6LWDhERCU7TaUREYsyhqlM8tXMNgzNyuG38fP8c87eO7AoIrM8fMoEPjD0j4vf3eDx8//2XA44tHDCad4/vDTg2r3AkH5t4VsTvLyIi7dNIvIhIjHly52r2VJxgxbE9PLR1OeCMvrccGX+jaAcNIR601BUbguR+n9V/OL9YeBPT8ocATqpIBfAiIj1HI/EiIjHA4/Gwv7KETSVF7K04vaB0U0kR9619MWhGGIADlSWMzSmMaFu2njoSsF+QmsmkfoNISUzi/005L6L3EhGRzlEQLyISA57Zs46lRTbouVABPMCPN7zKw4s+QIIrMl+sNrqbWH5kp39/eGYe/zvtAn/6SBERiQ2aTiMiEgNCBfDheHT7ioi14+Gtbwbs3zB6FpnJqRGrX0REIkNBvIhID+tqlpl1Jw5SXl8bkbZsbjGVpjA9KyL1iohIZCmIFxHpYSdqKlsdu2TY5JDlp+cPbXVs6eHtuD2eLrWjtqkhYH90dgH90xTEi4jEIk1yFBHpYT/a8N+A/Z/Mv57slDQm9RvE1tIjnDVwLIMycgLKPLT1TTacPOTff/nQVlwuF9eOmhFQrrapgc0lRYwKIyBfVrQjYP8rMy/pzNsREZFuoCBeRKQbnaitZFPJYabnD6MgLZPaxgaqGuv954dk5JKdkgbApLxBTMobFLSej088i6d3r+Xto7v9x/5zcAtXjZxGoiuBfRUn+dPOVRyqKvWf/5+p5zM5b3DItv1j3wb/64yk5M6+RRER6QYK4kVEusnu8mJ+vOFVAJ7fv4kx2f3ZfKoooExhmNNXkhMSuW3cPFYd3xeQK/4zbz/NmQPHsLf8BEdaZLX5xeY3eOTsDwWt73CzYB9gXuHosNohIiI9Q3PiRUS6QXFNpT+AB6hurG8VwANcP3pm2HW6XC5+tvDGVsffObanVQDvc6CyJOjx94oPBOxfN3pG0HIiIhIbNBIvIhJFe8tPcLi6lJXH9rVb9s6JZzEoI7dD9ScnJHLj6Fk8u3d9WOW/t/5lrhk5ndL6Gg5VneLWcfMYmtmPDSWn59dPzx9KWqKm04iIxDIF8SIiUXKo6hQ/2fgajWGmkJxbOLJT9zl70Dj+e2gb5Q3B00wOTM/mWE2Ff/9f+zf6X9+/7iUuHGoC5s5fONR0qh0iItJ9NJ1GRCRKntuzPuwAvisLSdOSknlgwfX8aN61AccLUjN56KwPcN+cK9q8funhwAdNjcoq6HRbRESkeyiIFxGJkuaj3+35yPgFXb5fv9QMfjz/Oub0H8HioZP4zhlXkZiQQKIrgYcXfTDsetKUmUZEJOZpOo2ISBQ0uJs4WVfV6vjcwpGsKd7v3x+XU8iCAaOZUTAsIvfNTUnnE5MWtTqe4HLx1ZmXsPSwZXXxvpDXXzFiakTaISIi0aUgXkR6lUZ3E28d3U1Ochqz+w/H5XL5z1U11PPzzUupbmzgExMXMTI7PyptKKuv4Uur/hH03FUjpnHb+HmU1tXQ5HEzNLNfVNoQzKjsAj428UxuGTuH5Ud28tKBza2m+8wrHNVt7RERkc5TEC8ivcprh7cHPLRoQu4APjflPPZUnOBnm173H39i50runX15xO/fVgAPkJ+WSXJCIoMyem7KSlZyKleMmEphWhZ/sO/4jw9Iy2JgenaPtUtERMKnIF5EYs7q4/t4evdapucP5SMTFgSMpgOsKd7Pv/ZtYGB6Dv9vyrkB55sH8AA7yo7zP+88gxtPwPFDVaX8bfd7DM3sx8KBo0lwRWaJ0L9a3L+5aflDSE5IjMh9IqHl01svHja5VV+LiEhsUhAvIjGlwd3En3auot7dxLvH9/Lu8b3cP+dKBmbkAFDf1Mifdqyizt1IcW0l/7djJbebhXg8Hn66cWnQOlsG8D5Li5ysLE/sXMXMgmF8evI5XW7/imN7Wh373JTz2F1ezDmDx3e5/kjKSk5lfM4AdpYfJy0xidn9h/d0k0REJEwK4kXiXFVDPU2eJnJS0nu6KRGxv6KEendTwLG/7VnHRUMnMjq7gJK6Kurcjf5z7x7fy6JB4/jPwc3sLD/e6fu+f/IQtvQYpt/ATtcRzF1Tz2NK3hCm5g+JaL2RcodZyIpje5icN4jM5NSebo6IiIRJQbxIHDtYeYrvrX8ZDx5M7kA+P+0CEuJ8OsSuIIH45lNFbD5VxITcAVw4pPWDiB7Y+GrY9aclJlHb1Bj03GuHt3cpiPd4Akf8vz7rUkZkRWfxbKTkp2Vy1chpPd0MERHpIOWJF4ljrx3ejsc7VcSWHWN76dEeblHXNU+/2NKOsuM8vO2tsOr51Zk3Bz3+kwU3MDanEIDhmXlkJKX4z20vPUp9iAC/pZK6Kiob6gKOHaw6FbA/QItERUQkSjQSLxKnahrrWXl8b8Cx908eYnzugJhaPNkRpXXVHKoq7XI9HzULSUlMYnbBcNadPOg//vCiD5DgSuBLMxbT5HaTmJCAx+Phm++9yPGaCurdTbx/8hDzBoxqs/73Txzkt9veJtHl4tOTz2Fq/hBO1FbyvfUvB5RLS9RDk0REJDo0Ei8Sp4ItoFx+ZCf3rX2RujBHk2PN1mbfJJjcgTww/7pO1XNG/xEA3DR2NtPyhzA6u4CfLbwxIANNYoLz2uVyMTwzz3/8D/YdSmpbP6SpubeO7sKDh0aPm4e3vkl9UyNfX/N8QJmpebE5B15ERHoHjcSLxJHaxgZ+s3U5lQ11FFWXBS1zsq6Klcf3cm6MZUIJx/oTp0fNJ+cNJiclnU9OWsQj295uVXbRoLFcNnwK31n3H2qbGvzHPzx+PknebyLyUzP5f1POa/e+2S0WdH51zb/4mDmTencjs/uPIMmVwEsHt5CRlMI5g8ax+dQRf9lGj7tVAA8wID2r3fuKiIh0loJ4kTiy6vg+dpS1n4Flf0UJDA5+bkfZcd44bJk7YCSzvSPWsWDN8X1sLDns3/elO5xVMJwvzVjMH7a/w8m60yPkS8bPB+AXZ97U5XufO3gCy47sDDjmewjSn3auDjj+3N71ra4vb6htdey8wRO63C4REZFQNJ1GJA54PB7K6mvYU3Gi1bl+QVJLHq46hcfjodHdxHvFB3hq52r2V5RwpLqMh7e+ybqTB3lk29u8cnBrdzS/XXvKT/D7Zk8OHZdT6F8U6nK5GJtTyHfnXk1GkjPH/ANj50T0/jkpkU2teOfEs/x57UVERKIhKiPxxpjbgT8CZ1tr325xbjhwoI3LV1hrF7W4ZghwH7AYZ3zxIPAn4MfW2rrWVYj0HmX1NXxp1T9Cnr98+FQm5w3iMfuuP8jfV1nCp97+S0C5N4/uanXtK4e2ccnwyZFtcCe82WIUvOWTRAESXC4eXHAjde7GiC8YzUpOw+QOxJYd63Jd982+nCGZ/breKBERkTZEfCTeGLMQ+FUbRWZ5txuBp4L890qL+oYBq4BPAKXAv4Fs4H7gZWOM0j9Ir9XgbmozgHcBZw4aQ2F6NvfMWNzh+qsa6zhVV92FFkZGTbM57QBDM3KDlnO5XFHL+PL5aedz3+zLwy4/LqeQIS3aednwKQrgRUSkW0R0JN4YcwPOCHxbK7p8QfyPrbVPhVHtQ8Aw4F5r7Xe998kE/glcBNwF/LSzbRaJZc/uaT3/2ufrsy5leGYeLu/DnRJcLkZl5bOvsqRD9/jK6n9y9qBx3DZ+HuBM3fHgCcjkEk1HqsvYVFIUcGxKDzzdNMGVwJDMfnzMnMkf7DtkJCVzxYhpPLNnXauyi4dO5PrRM0lwOSkq69yNNLk9ZCanBKlZREQk8iISxHtHy78PLAGqgWNAqMce+oL498Ko1wBXAru99QNgra0yxnwM2AN8DgXx0ksdrykPevxH866lX2pGq+PXjprJzze/3uH7vHV0FxNyB5CfmsEj296mvKGW/5l6ftBpLZFSUV/LxpLDvHV0F00et//4j+df16N57ucNGMXo7AIyklKpczcEBPFDM/px19TzAvre/+1AfKbmFxGROBWpkfjv4gTwa4E7cKbTtBXEVwI7wqj3EpwZAy9Ya93NT1hrDxhj1gFzjTGTrbWxsUJPJEIa3E1sbzFHe9GgsXxo7Fx/jvOWJuUN4p7pF1HT1MCvtywPODezYBjvnzwU8n5/aLawFOAXm9/grqnnMSVK+c5/u+0tdpUXBxz76sxLyA2yULe7FXoX1WaSwmcmn8POsmLOHjRWi1VFRCRmRCqI3w58BHjSWut2BtBbM8bkAyOAdcDdxpglwHicue4vAt+y1jb/Xn2Kd7u5jfvOBaYBCuKlV9lfcRK3x+PfD3dkfFzugFbHLhs+hWtHzWDN8X3srzzFhUMNX1n9z3breunAlqBB/PIjO3npwGb6p2UxIXcAFw2d1KGpJAcrT7UK4AtSMxmZlR92Hd1lRsEwZhQM6+lmiIiIBIjIpFdr7Q+ttU+0HC0PwjeVZjbO9JjjwBs4HyY+DrxnAj8B+CKWIwTnOx5q1F8kLnk8Hh7Y+Jp/f1r+kA5PbfE9tdSFi7MGjgFg7oBR3DhmFnmpGVw2fEpblwOwq7yYky2eXrq3/AR/3rWG0voadpUX89LBLdy98lmKayqpaWwIUVOg5g918pleMNQ/v19ERETa1t0Pe/IF8ZuBq621e8G/UPVR4IM4GWrO8JbL9G5Dpc+o8W7bfTSiN+3l7WG2c2aY5UQi7t1je3hix6qAYwWpHX/65w1jZtEvNYMx2f3900Oau3rkNOb0H8HhqlL+uOPdkPX84P1XeGD+dbhcLtweNz/c8N+g5b6x9nkykpL5zhlXkZWc1mbbguW7v3jYpHbekYiIiPh0dxD/M+A5oMJa6/8r7l2oeidwDjDHGLPAWrsSaPIW8bSuKkA43yiMAs7teJNFus8rB7fy933vtzp+RmHHn6yan5rJTWNmhzyf4EpgeFYeQzJyWwXxlwybzCuHnBlqFQ21PLhpKQPSs3n76O4271nd2MB/D23n+tEzQ5apbWoICOLvnnYh43MLuy0bjoiISG/QrUG8tbYJ2BviXLUx5nWcBbJzgJWA73v8UCvdfMcrw7j9PmB5e4W8ZgLBE1WLREFFfS2/2PwGB6tOtTp3+fApjA8yzz1SEhMSeGjRB1h5bC+piUlMz3emtWwuKeJwdSkAO8qOs6PseFj1HQ2RUWdX2XF2lBWzs+wYdU2NAP459ZpGIyIi0jHdPRLfnqPerS9/m2+R66AQ5dubM+9nrX0ceDycRhhjlqFRe4mCTSWH2XLqCOcNnsAgb6aT3eXF/HjDq0HLT88fyjWjZkS9XYmuBM4aNDbg2O1mAd9b/3KH6zpSVdrq2MHKU/xs0+s0egKXzUzsN1ABvIiISCd0axBvjLkPJ5PMt621m4IUGe3d+vLg+bLShHouvG8SbbC6RGJCdWM9LlwcrDrlT/v4XvEBvjf3ajafKuKRbW8HvS7JlcB13RDAhzKinUwxt4yZgxsPcwtH8sSOVWw+5XzmPl5bydO71zIjf5g/SH/18LZWATzAsMy8qLRdRESkt+vukfjpwPXANloE3saYAcDFQANOxhoA3zDgVcaYrzTPfmOMGYGzUHa/csRLrNp26ii/3rIMDwQ80Ki8oZbH7Lv+wLelOf1HcM2o6QxM79m85DeNmR30iaX3zr4sIAD/3NTzeGDDq/60kW8U7eCNoh1cPnwK14yawY7S4FNx5haOjE7DRUREernuXkn2iHf7BWPMWb6Dxpgs4DEgB/i9tfYogDd7zcvAROD+ZuUzgd/jPCNRT2uVmLW0aDuNHndAAO+z/uRBGtxNrY4vGDCaT0xa1OMBPMD5gycE7E/NG8JP5l8fdAQ92OLblw5u4XH7LqfqWyeY+pg5k6zk1Mg1VkREpA/p7oWt/zXGPAjcDbxpjFkBnADOBvoDbwFfbHHZZ4EVwNeNMdcAFjgTZz78f4CHu6n5Iu3aVHLYP2XmR/OuZVNJ8JH2lm4eM5uzBo2lpLaawTH0VNDEhAR+u+iDHK+poDA9q80MMucNnsCL+zdT2VgXcPzd44Fr2b85+3KGZvaLRnNFRET6jG7P6Wat/QJwM05gPgu4FGdh6peAC6211S3K7wHm4SxKLQSuAE4BXwWut9Y2dlvjRdrhC+ABvhzGE1F9RmTlk5aYzJDM3Jhb6OlyuRiYkdNuCkiXy8U3Zl/GmOz+IcucN3iCAngREZEIiMpIvLX2vHbOPwM804H6DgIf7WKzRKJqb3nrBxi1lJuSzg/mXsNnVjwdcHxsTujAN57kpWbw5ZkXs/r4Pv5g32l1/oPjzghylYiIiHSUnq4iEiG+RZ2hTM0bwg/mXkNiQgIfHHs6mL1u1Ixe96CjGQXDWh1b1CKFpYiIiHRerOWJF4krHo/HP/3lSHVZyHL3z7mSgc3mup87eDyDM3JxezxM7Dcw6u3sbqmJrX+1mNze9z5FRER6ioJ4kU5aVrSDf+zbwPwBozhcVRp0JD45IZH7Zl9BYXpWwHGXy4XphcF7cxcMmcDrRTv8+4Mz9BBkERGRSFEQL9IJbo+bv+xeC8DyIzsDzg1Oz+F/p1/I1lNHGJGV3yqA7yuuHTWTraeOcrSmnLmFIxmmBa0iIiIRoyBepBMOV4WeOnPz2DnkpqSzcOCYbmxR7ElNTOLbZ1wZMOVIREREIqN3raYT6SbbSo+GPDep36BubEnsUwAvIiISeQriRTrBhgjiH1xwg4JWERERiTpNpxEJw/snD2FLjzJvwChGZRWw+dQR/7lR2QU0upu4ZNhkMpNTe7CVIiIi0lcoiBdpx97yEzy89U0A3jq6m09NOjvg/OemnEtWclpPNE1ERET6KE2nEWnHplNF/tcN7iZ+tWVZwHkF8CIiItLdFMSLtKOsvibkuS/NWNyNLRERERFxKIgXacHtcXO0uhy3x0NNYwNvH90dtJzJHcjYnMJubp2IiIiI5sRLH/f6YcuR6jKuGDGVfqkZAPx261tsKDkMOA9uCuW6UTO6pY0iIiIiLSmIl17vjSLL8qKdZCSncOmwKUwvGArA7vJi/rrnPQDceFgyfj7Linb4A3iAIzXlAXXlpWZwqq6ab8y6jOFZed33JkRERESaURAvvVKT280fd7zL+ycP0eBucg7WwG+2LufuaRdysq6K/9ux0l/+7aO7mVkwjL/sXhuyzu+ccRUD0rOj3XQRERGRdimIl15p7Yn9rCneH/Tcg5uWBj3+6y3LQ9Y3q2C4AngRERGJGVrYKr1OeX0Nj9l3u1THV2ZcHLB/2fApXapPREREJJI0Ei+9zm+8D2bqitE5/Xnk7A9FoDUiIiIikaeReOlVSmqr2FdxstXxny64oVVO93E5hXx28rmtyi4ZPy9q7RMRERGJBI3ES6/h8Xj42prnA47N7j+cT046G4Cs5EK+PecK/rV/IyOzCrh0+GSaPG7SEpOobWoEIDMphbMGju32touIiIh0hIJ46TXeKNqBB49/vyA1kyXj5weUGZSR6w/qARJdCXxx+mIes+/Q6G7iKzMvweVydVubRURERDpDQbzErSaPm6d2rmbFsT0MTM/mWE1FwPn/N+U8MpJS2q1neFYe9825IlrNFBEREYk4BfESt361eRnbSo8CtArgFw+dyJDM3J5oloiIiEjUKYiXbnG0upz3Tx7E9BvI6Oz+XarrYOUp/rJ7DbvLT4Qsc/3omV26h4iIiEgsUxAvUdfkdvPAhlepbKwD4JYxc7hgqOlUXW6Ph0e2vUVxbWXIMucMGkeCS4mXREREpPdSpCMR5/Z4+Mfe9/nkW3/mub3rOVh1yh/AA/x1z3s0uJs6Vff7Jw+1GcADnDdkQqfqFhEREYkXGomXiHvMvsOa4v0A/PfQNpYX7WxVZunh7VzawaegejweXti/MeT5m8fM5ozCkeSmpHeswSIiIiJxRkG8RMzBylN8d/1/Wh2vcze2Orbl1JGwgviK+lpWHNtNckIif9uzrtX5nOQ0vjzzYgD6p2V1otUiIiIi8UdBvETEtlNH+fnm18Muv6PsOJ9+6y/cM2MxY3Kcha71TY3UNTWSnZLG4apS1hbv56WDW4Jen5yQyIz8oSweNknBu4iIiPQ5CuKlwxrcTSQnJAYc+8vute1ed6c5k/8e3s6ByhIA3Hj40Yb/8uHx8/nzrjU0etxht+Fbc65Q8C4iIiJ9loJ4CdvSw9tbTWm5acxs5vQfwbGa8lblfzjvWr6y+p8AZCalMLP/cBo9bh7fsTKg3BM7V3WoHQsGjFYALyIiIn2agngJy/oTB4POSX9mzzpeObi11fGvz7qUvNQMPjP5HLaeOsqiQWNJTkhk/oDRHKup4D8hpsmE4/YJCzp9rYiIiEhvoCBe2uXxePjttrdCni9vqPW/vmL4VK4eNd2/P6NgGDMKhvn3E1wurh01g6tHTucH77/MgcpTbd57ct5gPjphIWuK91FSV82VI6bhcrm68G5ERERE4p+CeGnX4erSsMuafgPDKpfgcnHXlPN57fB2Xi+y1LfIGz8iK4+vz7rMv3/h0Ilht0FERESkt1MQL22qbKjjO+sC00YOTs/hnhkX8/PNSwNG0uf0H8GE3AFh152dksZ1o2dy3eiZAFQ11PMHu4Imj5sPjp0bkfaLiIiI9EYK4iWkJrebBzcuDTh24VDDjaNnk+By8bWZl1JSV01mUgqpiUldnuaSmZzCXVPP71IdIiIiIn1BQk83QGJLXVMjO8uO0+huYmf58VZTaa4bNZMEb7DucrkoSMskLSlZ89RFREREupFG4vswj8fD/+1YybvH9wIwLX8Im0qK/OdTEwJ/PH6+8KZW+eFFREREpPspiO/D7l/3EkXVZf795gE8QJ270f/6/005l/Sk5G5rm4iIiIiEpiC+D7Klx3jn2J6AAL4tSa4ETG54WWdEREREJPoUxPcxbo+bR7evoKJZbvf2fHzSIlIS9aMiIiIiEisUmfVytvQYz+1dz4TcAVw8bDK/3PxGmwH8mOz+7Kk44d9/YP715KSkdUdTRURERCRMCuJ7saPV5Ty4yUkRub+yhFcPbw9a7uMTz+JA5SlGZuUzp3AEx6rL2XSqiFkFwxXAi4iIiMQgBfG9kMfj4end77HsyI52y/5w3rXkpWZwRuFI/7GBGTkMzMiJZhNFREREpAuUJ74XWnfiYFgB/P1zriQvNaMbWiQiIiIikaQgPsaU1dewq6wYt8fd6tz7Jw/x2uHtNLib2qzj9SLb5vm8lAy+PONijbaLiIiIxClNp4khZfU1fGnVP/z7Dy/6IC5gbfF+fm/f8R9fdXwfX5lxMYkJzmewmsZ6Xi+ynKytYsGA0ewuL/aXHZmVz0VDJ/KPfe9TUlfNNSOnc8mwyf5rRURERCT+KIjvYWX1Nby4fxOZyan85+CWgHNP7lzN6uJ9rUbeD1SW8JkVT5OckNjq3Ipje/yvx+UUcs+MxQDMGzAqOm9ARERERLqdgvge9vTutaw7cTDouRXHdrd5bXvTamYWDOt0u0REREQkdimI7yFuj5tn96wPGcBHwpkDx0StbhERERHpOQrie0B9UyM/3/xGwNz19vxo3rXsqTjBhpOHWXl8b7vlbxozm8zk1K40U0RERERilIL4bvT+yUO8fthiy44FPX/BkAmcUTiSYZl5vHJwK2tO7GdIRi4fn3gWSQmJzE4dwez+I7h42CR+svFVqhsbAGfEfXzuAMZk9+f1IovJHcicwhHd+dZEREREpBspiO8mje4m/mjfobapsdW5JFcCP5h3DTkp6f5jV4+aztWjpgeta2hmP3628CYOVZ0iMyk1INf7h8bNjXzjRURERCSmKIjvJrvKi4MG8GmJyXxrzhUBAXy4hmXmRaJpIiIiIhJnlCy8G9Q0NvDrLcuDnrt39mV6aqqIiIiIdIhG4rvBW0d3BaSDHJ6Zx/SCoVw2fArJCYk92DIRERERiUcK4qOktrGBk3VVVDTU8tze9f7jY3P686UZF/dgy0REREQk3imIj4Ky+hq+vOofeIKc++zkc7u9PSIiIiLSuyiIj7AVR3fzxM5VQc+NyMpT7nYRERER6TItbI0gj8fDkztXhzz/4fELurE1IiIiItJbKYiPoJK6atxBJ9HAbePmMTxLKSFFREREpOuiMp3GGHM78EfgbGvt20HOTwC+DSwCCoBdwKPAb6y17iDlhwD3AYuBwcBB4E/Aj621ddF4D52xqeRw0OM3jp7FWYPGdnNrRERERKS3ingQb4xZCPyqjfMzgDeBHGAFsAY4H/glMB+4rUX5YcC7wDBgPbAOOAu4H7jAGHOxtbYh0u+jo07UVvKX3Wv9+8Mz8/jarEtIcOnLDhERERGJrIhGmMaYG4BXgKwQ513AEzgB/BJr7SJr7fXABGAjcKu3juYewgng77XWzrbW3giMA14DzgPuiuR76Kwfvf/fgP3rRs9QAC8iIiIiURGRKNMYM8wY8wTwLJAIHAtRdDEwHVhmrX3Sd9BaWwx82rvrD8qNMQa4EtgNfL9Z+SrgY0AT8LlIvIdwuD0e9pSf4FRdNeCkkvz3gc18ZdU/KW+o9ZebWTCMyf0Gd1ezRERERKSPidR0mu8CS4C1wB0402kGBil3qXf7z5YnrLXvGGOOA4uMMdnW2grgEsAFvNByrry19oAxZh0w1xgz2Vq7NULvpZXKhlr2VZTw7J51HKkpJ8mVwK3j5/F/O1YGLf8xcyYulytazRERERGRPi5S8z22Ax8B5ltrN7VRbop3uznEeett0+Qwy2/3bqeF2c4OK6oq4wsr/86vtizjSE05AI0ed8gAfkbBMFISlX5fRERERKInItGmtfaHYRb1zTE5EuK877hvFL+j5SOqqqGeJ3cFf3BTKJ+ctCgaTRERERER8evuIeNM77Y6xPka79a3MLaj5UPypr28vb1yXjMBDlWdYnf5iTAvgc9MPodELWYVERERkSjr7iC+ybsN/kSk03yRcEfLt2UUcG4Y5YJKTkjkc1POIz81k3/ue59NJUWMyenPRyYsICMphbqmBnJS0jtbvYiIiIhI2Lo7iK/ybkNFu77jlZ0s35Z9wPIwyoEzEp/r20lNSOK+OVdQkOZ8MfDxIFNmUjUPXkRERES6SXdHnkU4AfIgTi9Kba7lHPgi73ZQiPramzPvZ619HHg8jDZijFkGnDs4I5fPTj6XCbkDSEtKDudSEREREZGo6+4J3L4sM5NbnvA+CGoizhSare2V95rk3baVEafTclLSmF4wVAG8iIiIiMSU7g7iX/Zurw1y7kygEHjbmyO+efmrjDEBbTXGjABmAfujmSNeRERERCTWdHcQvxzYAiw2xnzcd9AYUwg85N39qe+4tXYvTiA/Ebi/WflM4Pc4T4f1lxcRERER6Qu6dU68tdZtjLkDWAr8zhjzMZx57+cBecCj1toXWlz2WWAF8HVjzDU4D4Q6E2c+/H+Ah7up+SIiIiIiMaHbk5pba1cD84HngPHAxcB+4FPAp4OU3wPMw1mUWghcAZwCvgpcb61t7JaGi4iIiIjEiKiMxFtrz2vn/Fbgxg7UdxD4aBebJSIiIiLSK+jxoiIiIiIicUZBvIiIiIhInFEQLyIiIiISZxTEi4iIiIjEGQXxIiIiIiJxRkG8iIiIiEicURAvIiIiIhJnFMSLiIiIiMQZBfEiIiIiInFGQbyIiIiISJxREC8iIiIiEmeSeroBMWocwLZt21iyZElPt0VEREREeqlt27b5Xo7ryHUK4oPLB6ioqGD16tU93RYRERER6f3yO1JYQXxwTd5tPfBuJ+s417td3oV2RKKOSNYzE8gFyoD3e7AtsVIH9K4+iVQ9M1GftDSTrvdJpNoSK3VA7/pZUZ9Er56ZxEafRKoe/axEr56ZxEafdLSehUAKp+PPsLg8Hk9HG9XrGWOW4XT+cmvteZ2swwNgrXV1oR1driPC9Syjl/SL+iSqbVmG+qRlHcvoYp9EsC0xUYe3nmX0kp8V9UlU27KMGOiTSNWjn5WotmUZMdAnHa2ns+3WwlYRERERkTijIF5EREREJM4oiBcRERERiTMK4kVERERE4oyCeBERERGROKMUk1HS1VXNkaojkvVEQqz0i/okuvV0lfokuFjpF/VJdOqIlFh6P7HSL7H0fmKlTyC23k+s9Es8vR+NxIuIiIiIxBkF8SIiIiIicUZBvIiIiIhInNGc+OAeB5YB+3q0FbHncdQvLT2O+qSlx1GftPQ46pNgHkf90tLjqE9aehz1STCPo35p6XHis08epxPtdnk8nii0RUREREREokXTaURERERE4oyCeBERERGROKMgXkREREQkziiIFxERERGJMwriRURERETiTNynmDTGJAKfBj4CTAISgT3A08AD1traFuXPAO4D5gJZwBbgF9baP4eofwLwbWARUADsAh4FfmOtdQcpP8lb/wVAHnAM+A9wv7X2YFffb7hisF/OAb4MLARSAAv8HnjUWtvY1fcbjmj3SYtrDfA+8D1r7XdDlOkHfBW4DhiO87PyHPBta215x99h58RavzQr+y3vfYZbaw917F11Taz1iTFmMs7PyvnAAKAMWAH80Fq7shNvscNitE++ifO7Ngc4BPwD+IG1tqQTb7HDYq1PglzzFeAHOL9TvhXeu+q6WOsXY8xuYEwb1SRH++9QDPaJC7gd+AQw1dueDcDPrbV/7fg77LhY6ZNmf2vas9xae14Y5bpNXI/Ee38A/gX8CpgIrMTJszkEuB9YZozJaFZ+MfAOcBnO//w3gGnAU8aY7wWpfwawBvgAsB94GSfY+iXwRJDy87zlbwGOAi8AtcCdwDpv4Bt1Mdgvn/LWeTlQDCzF+YDzEPBvY0xmBN52m6LdJy3uVYgTTKS1USYHWA58CXADL3q3dwPvGmNyO/M+OyrW+qVZ2WuBr3f4DUVArPWJMeY84D3gNqAc+DdwGLgGeMsYc0sn3maHxGCfTAdW4/yuPQK85D31ReB9Y8yQDr/JDoq1PglyzQycgZZuFWv94v1dOhpnkOSpEP+1GniKpBjsExfO3+rHvPUuw/n3NBd42hjzuU68zQ6JsT7ZSOifjaeAGm+5dR18m1EX10E8TnB8Bc7/gInW2oustZcB44F3gfnAvQDGmHTgSe91i621F1prr8L5ITgEfM0YM8dXcbMf8hxgibV2kbX2emCC9363GmNuaNGeh4BM4H+ttdO95Q3wW6A/8NOI90BwMdMv3k+/v8L5WfuctdZYa6/xtuUnwMV0zx+aqPVJc8aYqcDbOKMKbfkuMB3n24vJ1tqbcPrwT8Bk7/nuEGv9gjHms8Df6LlvCmOmT4wxycD/4fzx+Zy1drK19jpr7UycoD4ReNQY07+L77k9MdMnXk/j/K79vLV2RrPftY/gDCj8qNPvNHyx1ifNr0nB+V2S0pk31kWx1i8zARfwgrX2thD/RTWIJ/b65Hac3x+bgfHW2qu8I8znAXXAg8aYAZ17q2GLmT6x1v491M8GzgeLdJxvPr/U5XcdYfEexN/u3X7eWnvYd9BaewLnKxpwRosBluB8Df2UtfaNZmV340zzALirWd2LcYKsZdbaJ5uVL25Wt7+8MSYfmAOUWGt/3qx8E85XvgDndPgdds7t3m2P9wvwUZxg7M/W2l83K98EfAXnE/Vd3k/K0XS7dxuNPsEYk2GM+SawCicY3xuqIcaZRnMnzqjqF3x/QLxf534GOAV8rDu+oSC2+mWiMebfwK9xpotUdPI9ddXt3m2P9wnOVJERwJvN//147/EUzkhWNs4fw2i63bvt8T4xxszG+YO8wVr7i2b1N+H9ow9c2pE310m3e7c93idBfAcnwHmrA9dEyu3ebaz0yyzv9r2OvY2Iut27jZU++TrQCNxsrT3S7B5vA7/D+abvjHDfXCfd7t3GSp+0YowZD/wC52/Rrbabpv52RLwH8SeA7ThfA7W0w7v1fa3q+6X+zyBlXwSacL6m8QlZ3lr7DnAcWGSMyfYe9n2Szw4yFcI3StYt8zSJrX6Z1qyuluWbgDeBZODCIPePpGj2CcDNON8olAPXE2RaUTPn4Hyyf91aGxCoWmsrgde8589to45IiaV++S3OlKtX8X4gbrvpURNLfZIBrAVeCXG+ZXuiJWb6xFq7DhgMtPwmFJwPNOAEKNEWM33SnDHmLJxpRY8C/w3nmgiLtX6JhSA+ZvrEGDMTGAv8x1q7reV5a+1d1tpR1tqXWl0cWTHTJ234Oc7v4K9ba/d34vqoi+sg3vsV0CRrbVWQ03O9W9+CuCne7eYg9ZQDRUChMWZge+V9l+H032RvHaU4c7qSgeeMMVONMenGmSfvW3Txk7DeWBfFUr9w+mcs1EJN3x/bsL8q7owo9wnASZyFMeOttf9opznt9eF273ZaiPMRE2P9sga42lp7sbX2QNhvIsJiqU+stf+w1s611n4/RJGW7YmKWOoTbz1HvaNwft7Bk196d//UXh1dFWt9AuD99u7/gAM462u6XQz2yyycIM8YY940xpQaY04ZY17w/n2Ouhjrk9ne7WpjTIIx5mpjzM+NMY8YYz7VTd8Ax1qftGKMuQRnUGkrzlTpmBT32WmC8c7b/o539znvdrB3e6T1Ff7jw4GBOAtgwimPt7zPbTifCi8ENjU7XgF8yFr7l3DaHy091C8W51P02TgL8lq250zvbrSn0wQVoT7BWvsCzkLmcHTmZ6tb9US/WGvv6VRju0kP/ay01Z4LcLLV1OBkwOp2sdAnxpjbcLJbLMQZNfsDPbQo2tuenuyTB3GysFxgra10liTFhp7oF2NMKqeznvwJZ6DgDZxsLFcClxhjPmStfbZDbyZCeuhnZZx3W4WTZOK8Fue/Yoy5LNgofXeIhd8pXr61evd7Zw3EpLgeiW/D93GmLBwDHvAe8326rAl6xenjWS3KV4dZHpxPg48D9TiLNZ7HmYeVDXzRGDMqrNZHT0/0yxOAB/hfY4x/3q73H+q9ONMmAFLDaH80RKJPOqozP1vdrSf6JdbFTJ94f5f41qT8wDuPtCfEQp9cAVzkva8bJ+Xt8AjV3Rk90ifGmMtw0gX+0lq7rLP1RFFP9Ms0nMHKCuAia+086ywMHw/8L843548bYwZ1sv6u6ok+8U33/SbON+Y342SLm4iTUGAk8KJ3MWlP6PHfKcaYhTgLa3cAz0SizmjpdUG8MeZ+nAWTdTiLNoq9p5oAj7XW004Vvj7xffIKq7z3E/+rwPdwsrbMsE4WlnE46ZJmA696swZ0u57qF+/81XtxsiS8aIxZZ4z5B84/jm/gLKIBaAj3vURKBPukozrUh92tB/slZsVSnxhjxuKMJg7G+XarzfRq0RJDfXI3TvaeSThTF6/FSb2ZF6H6w9ZTfeJNrPAHnN+rX+1MHdHUU/1irV2L8+9kmrV2aYtzP8eZY53J6UWW3aYH//34Bsxygeustc9Ya0uttRZnIelqnG9zbutk/Z0WQ79TPufd/sRGP3NRl/SaP7bGmCRjzCM4AWMtzg/nm82KVAEuY0yoPKG+T52Vzco3P95e+Y8CZwGPWGv/5itkrXVba+8DXscJ6KOe07m5GOgXrLXfw1lY8g7Op/3zcOaZLcDJlQ5QGsbbiYgo9ElHdbgPu0MM9EvMibU+McbMxUl1NgpnseuN3f1HJtb6xFp7xFpbZ63dbq39MM7UoiHApyJRfzhioE8ewsne8RFrbajRym4XA/3iWz8RalGib7pF0PSE0RADfeL7BniDdZJR+HmD5Ee9u+d3sv4Oi4E+ad6WNOAqbzv+2tX6oq1XzIk3xmThfOVxKU4weE2LHwBwprr0AwYB+4JU03LOVRFOftlBnF5o2Fb587zbV0M08z846eJm0Q2LriBm+gVwFujhPGyhZRuv9b7sloWMUeqTjirybkN9hdvV+jssRvolpsRanxhjrgb+gjPv+6/Ah6219V2tt4NtiKk+CeEpnEwVs9orGAk93SfGeYrlLTjTD/6fMeb/NTs91bu93hgzDidV6e9a1hENPd0vYTrq3Wa0WSpCYqRPfKPbweoG5wGOcDqrXlTFSJ80dxHOtJy/2258cnpnxf1IvPcr02U4PwAHgbOD/ADA6VXNk1ueMM7TM4cAxdbaY2GUd+GMKDfhjCiD8wMGoVOb+Y53y3SaWOkXY0yhMeYC4+RbDeYC73Zte++pq6LYJx0Vsn4vX6aeTSHOR1QM9UvMiLU+McZ8FPg7TrDxIPDBHgjgY6JPvL9Pfm+M+WCIInXebXJn6u9gW2KhT3zzgAcCt7b4b4b33DTv/pmtro6CGOkXjDG3GGP+bIz5UIgio73bqGZ38rYlJvqE039XQqWl9Q0uHe9k/WGLoT5pzpeqskcWO3dUXAfx3vnlL+F8FbYVONNaGypt38ve7bVBzl2Fs3q9eV7UtsqfiZNN5W17Os+3b1T68hD3X+zdbghxPmJirF9m46yAvy9IO6d5r9lLlIP4KPdJR72JsxDnItMinZd3VOIinK8Fo/6glhjrl5gQa33i/bbq9zi/r79grf1CGHNDIyrG+mQQ8DHg8yHO+/4IR/UR6bHSJ9baZdZaV7D/OP3wq297j93emXt0RKz0i9cA4IOcfnhQ83a6OD3vO9RzGCIixvrkDZwPumcYY0YHOe/LyR7Vvz8x1ifNzfdu341QfVEV10E8zoLRBTif4M6z1rb1afo5nE+Wtxtj/IG2MWYM8EOcRYYPNiu/HOdpoouNMR9vVr6Q0zlDf9qs/B9wMiN83BhzXfMbG2Puxgnui3EeFx5tsdQvb+J8RXazMWZBs/KDcb72duH8gYn2vN5o9kmHWCcv7v/hZAR4yBiT5K0/CfgNzrc6v7MtHgQVJTHTLzEkZvrEOFkz/ojzu/pr1tqe6t+Y6ROcp9QeA+YZY77S/IT3d9JHcZ5L8WiQayMplvoklsRSvzyN87OwyBjzv83qd+FkZ1mAMzL9fBfuEY6Y6RNrbRmnBwWeMs6iaN89bsH50FNM9OeDx0yfNKsvBedbq5PW2n1dra87uDyebh3QiRhjTAHO//x0nBGXkDlNrbW3ea+5GueHIREnGK3AyenueyJXwANVjPMgiKU4X1euwpmXdR5O8PWotfYTLcp/BvgVzj+O93FGmKfgPPK3ErjSWrucKIrRfrkZ5xdCI84oQL23fCbwkLX2s114y+3qjj4Jcs9v4Xz7cK+19rtBzufjLPQ1wB5vu2bjZAVYB5xrnae3Rk0s9kuLsvtw0p0Nb+cXfMTEWp8YY34M3IOTvekZQmc0+ru19u/tvL1OibU+8Z6/CCfwSve2x+JM5ZuIswjuBmtt1EZXY7FPQlzzDZyc29+21n4rnGu6Ihb7xRhzA85akmScAajtOIHaBJw58edYa3d25H12RIz2SRbO6PZZQJn3HoNxHrJUi/PvJ2rfqsZin3jLjMb5e7zFWjs1WJlYE88LW8/l9Irk2Zx+ClkwtwFYa583xpzL6U/gLpx87g9aa1vlArXWrjbGzMf5xHg+ziKhnTgpvH4fpPxDxpgNOH90z/KWP44z6vq9aP6iaCYW++VvxpganNRRi3CmkrwH/JrumXcW9T7pKGttiTHmTJxfKtfhfCV4EPgx8P1oB/BeMdcvMSDW+sT31XYyEGpeL8AunDnz0RBrfYK19jXjLOj8Os70sytxRucfx8mbv6ONyyMh5vokRsRcv1hrnzNO3u+v4eQfn4Az8PQr4Dv2dBrDaInFPqk0zsPi/gdYAlyMExT/A/iudVJDR1PM9YmX76GTpRGqL+ridiReRERERKSvivc58SIiIiIifY6CeBERERGROKMgXkREREQkziiIFxERERGJMwriRURERETijIJ4EREREZE4oyBeRERERCTOKIgXEREREYkzCuJFREREROKMgngRERERkTijIF5EREREJM4oiBcRERERiTMK4kVERERE4oyCeBERERGROKMgXkREREQkziiIFxERERGJMwriRURERETizP8H2nujW6Pv8rkAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 251,
+       "width": 376
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res.prices.plot()"
+    "res.prices.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1d62f61d048>"
-      ]
-     },
-     "execution_count": 6,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAvgAAAH6CAYAAAByAjh1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAABYlAAAWJQFJUiTwAAEAAElEQVR4nOy9d5jc1nnv/wWm785sL+ydHPYuqlC992LLVZZbHMtO4jh24pvc3JLbcn83NzeukZtsy2pWtXq1RJGSKPbelsO6XJLby+xOL8D5/YEp5wAHGEzZ5XKFz/NInAUwwJkZ4Jz3vOd9v69ACIGFhYWFhYWFhYWFxcRAvNANsLCwsLCwsLCwsLCoHJaBb2FhYWFhYWFhYTGBsAx8CwsLCwsLCwsLiwmEZeBbWFhYWFhYWFhYTCAsA9/CwsLCwsLCwsJiAmEZ+BYWFhYWFhYWFhYTCMvAt7CwsLCwsLCwsJhAWAa+hYWFhYWFhYWFxQTCMvAtLCwsLCwsLCwsJhCWgW9hYWFhYWFhYWExgbAMfAsLCwsLCwsLC4sJhGXgW1hYWFhYWFhYWEwgLAPfwsLCwsLCwsLCYgJhr9SJ/H7/jQD+EcAKAA4AuwH8SyAQeLuIc9wO4O8ArAVgA3AUwGMAHg4EAhLn+DoA/xHAfQCmA+gB8EcA/z0QCIyU83ksLCwsLCwsLCwsLkYEQkjZJ/H7/V8F8CiABID3oRjn10Ex9B8KBAK/NnGOPwPwGwAygI8AjAC4AkAjgHcA3BkIBNLU8TWZ45YDCAA4CGANgNkAjgC4IhAIDJf94SwsLCwsLCwsLCwuIsoO0fH7/VMA/BLAMIC1gUDg9kAgcAuA9VCM9J/4/f6pBc4xDcDPAcQArA8EAtcGAoG7AcwDsAvALQC+onrb/4Ji3D8CYHEgEPgMgAUAngCwOLPfwsLCwsLCwsLC4hNF2R58v9//v6GEyfy3QCDw31X7/hHAPwP4H4FA4J8MzvF9AP8G4CeBQOBvVPs+A+A5AC9kjPhsaE4ngBSAaYFAIEQd7wXQAcANoDkQCETK+oBsW/ZCWSEIAzhRqfNaWFhYWFhYWFhYqJgHwAvgdCAQWFXMGysRg39r5t+XOftehmLg3wZA18AH8OPMsWHOPl/m3zS17WoAHgDv0MY9AAQCgbDf738PwGcAXAPgTaPGF8lsALWZ/wxXJSwsLCwsLCwsLCwqwOxi31CWge/3+wUo4TAygDbOIccy+5b4/X4hEAhwlwsCgYAM4BTn/PMB/OfMn09Su5Zk/j2k07SjmX+XobIGfhhArc/nw6JFiyp4WgsLCwsLCwsLC4s8bW1tCIVCAN8Bbki5Hvx6AC4AfYFAIKneGQgE0n6/vx9ACxRPvCllG7/f/3+geOkvhRKX/1eBQOAN6pDJmX+7dE6R3d5q5npFcALA1EWLFuGJJ56o8KktLCwsLCwsLCwsFB588EHs2LEDKCEsvFwDvzrzb9TgmFjmXy9MGvhQEmonZV7LABb4/X5PIBDInqvQdelrGpJRAPqqyXatNHmchYWFhYWFhYWFxQWhXAM/q01vJlO3GMWeSwAMQjGofwTgr6Eo5NxW5HXNXHMWlFh9CwsLCwsLCwsLi4uecg38rEKNx+CY7D7T8UOBQOBc5uUWv99/CxRd+1v9fv/lgUBgq4nrFnPNdgAfmGzaSigJthYWFhYWFhYWFhbjknIN/BEoxnaT3++304WoAMDv99sBNAGIBwKBYCkXCAQCQb/f/waAbwBYBWArFIlMIB/Go6ZQjD59/t8D+L2Ztvj9/k2wvP0WFhYWFhYWFhbjmLIKXWVUcQ5DqVy7gHOIP3ONg0bn8fv93/T7/U/5/f5lOockMv86Mv9m1XMW6xyflbgxvK6FhYWFhYWFhYXFRKPsSrYA3s78ey9nX3ZbIanKtQC+COBB9Q6/3+8AcEPmzz2Zfz+Ekkh7o9/vr1Yd7wVwI5TwnI8KXNfCwsLCwsLCwsJiQlEJA/9RAHEAf+/3+9dkN/r9/rUA/gMUQ/zn1Pa5fr9/od/vp2PZH4GSMPtdv99/LXWsG8AvACwEsB3AZgDIVKd9DIpM588zoUDZkKCHAdQB+LW6CJaFhYWFhYWFhYXFRKdsAz8QCLQD+FsANQC2+v3+t/1+/9sAtkDRvv9mIBDopd6yAUpRrPuoc+wE8F8AOAG87/f7P/b7/a8COA3gz6AUwfqsqlDWfwIQAPBlAAG/3/889fceGFfOtbCwsLCwsLCwsJiQVMKDj0Ag8HMAdwHYBuBKKDKXmwHcFAgEnjR6L3WOfwZwO4D3ASwFcAuAYQD/G8CaQCDQoTp+EMAVAH4KJTb/Liia+f8XwPWBQKDoql8WFhYWFhYWFhYWFzvlqujkCAQCrwN43cRxswz2vQXgrSKuOQjgu5n/LCwsLCwsLCwsLD7xVMSDb2FhYWFhYWFhYWExPrAMfAsLCwsLCwsLC4sJhGXgW1hYWFhYWFhYWEwgLAPfwsLCwsLCwsLCYgJhGfgWFhYWFhYWn2gIIYUPsrC4iKiYio6FhYWFhYWFxcVGZE8nwls6ULVyMnxXzrzQzbGwqAiWB9/CwsLCwsLiE0nsSC9CG06BxNKIbD0LOZG+0E2ysKgIloFvYWFhYWFh8YkjPRjD8BvHmG1y3DLwLSYGloFvYWFhYWFh8Ykjfqxfs41YBr7FBMEy8C0sLCwsLCw+cdh8Ls229FDsArTEwqLyWAa+hYWFhYWFxScOwa41gYZfCyDVE74ArbGwqCyWgW9hYWFhYTGOibX1oe/XuxDafOZCN2VCQSSZu33g8X1j2xALi1HAMvAtLCwsLCzGMcOvByANxxWVl2jqQjdnwkBkfe17KZwcw5ZYWFQey8C3sLCwMMAqgGNxIVHLNpI03+tsUQKSgYEfjI9hQywsKo9l4FtYWFjoEN7agd6fbLVCIywuGNJw4kI3YeJCefA9y1vZXRHLg29xcWMZ+BYWFhYciEwQ3twBkpIR2XpWN17XwmI0keOqkBxrRaliSJQRL9hFeFZMyv0d2Xn+QjSpZEhKMgw5suAzkVdo7Re6ARYWFhbjEXWsM0lIEKosn4jF2EJiqhCdiWuPjDmRrWdzr0lKhuhx5P5OdYUQPdSDqqWtvLdecIgkI9UTRrJjGJHt50CSEkSvE41fXglbtfNCN2/cIyfSCL7chvRADDU3zYV7fuOFblLFsUYrCwsLCw7qJXqrhL3FhUCOWR78sSBxJqhZpRt56zjj5R9PDD5/CINPHUD4ozMgSQkAIIeTCH9khROaIbq7E8mOYciRJEbeOzkhPfmWgW9hYWHBQePBzwyiFhZjiZyw7rvRQB3OIjhE2Os9muNS3eNPE19OSkidHeHuS3WGxrg1Fyeprvz3JE9QxSTLwLeYcKT6IxjZeArJc/wO0MKiEESSMfTCYWab5cG3uBCQpOq+m4CexguBHFYlL0sEnmWccJzxqFpkcA+kB6IYevEw5LjVXxmR6o+yGybgY2UZ+BYTCiLJGHh0L6K7OjH4/CErMdKiJGJtfdqN43Ggt5jwELUHfwIaIhcCaYQ18G01Lgh2Ee7Fzcz2cTmGFLgHEieHMPLuibFpy0WInJQgj0x8dSrLwLeYUET3def/SMtWURiLkkiPw2V5i08msio0bCLGCo8Fqa4Q0gN5r63awK+5cS4AwHfNLGY7MdDKv2CYuAfiR/vHoCEXJ+m+iHbjBHyuLBUdiwkF3YEDgBxLw+ZzXaDWWFysCB5t1zgB+3+LiwCiDg2z7sOiie7rwsi7JwEAvhvmwL2gCVIob+C7l7TA3lgFALB5XfAsb0XsQI+ycxx68C05zNJJ9UUw+IcD2h0T8Cu1PPgWEwq18snAY3uROD10gVpjcbEi2Dhdo2XhW1wANMnd1n1YNOHt53KvQxtOoe9XO5E4mR8XHK3VzPH08z8ujWkTTRJ9llQmj+E3j13oJowZloFvMaHglRdXJ0taWBRCE/cMTEgPj8X4R6OiY92HRaOJt5YJUufzIgyaVV5RyL8ehx58M5M8wWkbg4ZcXBBCkO7lhOcoO8e2MWOAZeBbTBgIIUgPxS50MywmAHKUI5s2AQcAi/GPRkXHoijM5CzYatzM34Kd8uBfpDH4GIfzkguOgVDCROzeLQPfYkIgx9Pof2Q3oNMZj7x/aoxbZHGxIoUTiB3q1e6YgAOAxfhHq6JTmRuREIJUdxgkNbF19rmrcSpsNUYe/PH34KtvAce0GrgXN8N71Uz9gyw+cVLHloFvMSEIfdgOaVgbnpMlurvTUp+wMEX447OFD7KwGAOkkYS24FqFurGRt49j4Il9GPjDgfEZZ14mJCVBiiQRO9htfKBd1CTVszH4hV3hya4Qoge7NYpHowb1e9lqXWj8wnLU3eGH29+UP8Ya7zTwQnhzTMDvy1LRsZgQmEqkJQCEgkdZfMKJHeAbBNYE0WKsiew6r91Y5n2Y6o1AGorlVqnSvREkzw7DNbOurPOOJ6RwEv2P7lEUiAp8XTafC4LADgyCLf937EAPfFfN0r9WKKGossgE0mAMvmtml9P04qHbTq08WN2Vluj+ApO9CYZl4FtMDMwkQsmEXXq1sCgGa8CsOCQlAaLAVy36hCMn04ju7tTuKOM+TAfjGHhsr3b7QHRCGfjhLR0gJiu5asJzAICKwZejKciJNEQX31yKbD+X86hHdpwfGwOfXnGhDHxmnmJZ+DnSw3EMv3kMKaPq9hPw67IMfIsJAZ0UpQeRieXAtygda8CsKKnuMAafOwjBLqLxyyth81r1KgBlpSi2vzun2845oORz9z+yi7vdMHThIiSlU6hO8Nhhb6pC6iyloMMx8F0z6hCi/pbDSUR2nUdkixK+1/jllXC0epV9JicSFYW+Beihj7bwre4qR+i9kxrjvvmhtej//d58jsYE7N8tt4nFBMGE6T4BH2CLyjL8FquR7FrQmP/Dun0qytArbSAJCXIkhZE/nbjQzRk3xNv69I17oOT70EhhLLq788IYqqMFJ6dArHKg5S8vRdXSVmY7rxCivamK+Tu6twsxqkp6aOPp/KUiHMWtUYYOF2TCi+jXEzCvolQSp7QhvGK1U7XkMfGwDHyLCUK+M6taOZl/iNXhjTmEEIxsOo3B5w4h3R8t/IYLCElJGvUcZmXImiBWFFqbXM/j+klDTkoYfsO4EE+puSCprpDh/r7f8L37FxuEEKT7tFrngsMGQRAguNnABZEXoqMiureLSXZOnh3Ov+40/l4rAUnLiJ8cRKo385zQ9wBto05se7WiaMICJ2D3bhn4nzCITDD89nH0/34PkkbxaBcZdH/nmOrjH2MZ+GNO/Gg/ojvPI3kmiKGXjlzo5hiSHmAnIILbznh4rLtn9BiXWuMXgPix/sIHlfhVFZKLJLGJ4cFPnhnmbq++fBoAaGLp7XVu3uEFkYbjymSL1lY3ESpaLHIshZ4fbUHwxSMYeGyfMqGg7wEmBp/qr0ZpvJNG4kieHb6oRQd8N8xRXkzwCZFl4E8w4icGMPTSEV1VmdjhHsQO9iDdF0V4a8cYt24UoTob59QazRKr+hiL0SdxahDDrwdyf0vB+LieZKknvL6rZ1lJa2PFeKwWOsbEjvaZC1Uq8TaUqYJZ7kXNqL9/ifbUE+AeD33Yzt3uWdwCALDVe/IbBcDeyBkrANTe5Te8Tv/j+xD+mB1DHc38c5VDZCerpBTefEY3yRaj3F8lzw2j75HdGHzmICLbzlX8/GNF1SpllZ+ZEI3C9yWNxBHZea7kVR5pOG4o/10Iy8CfQBCZIPhSGxInBjH0wmHuDRsPDOReJ9uDY9i6UYZJOhLQ+OBKNH55JUSvM7/dsiHGDDmZxtAftR57tZd8PEEb+I5pNfAsa7WS1sYIYlBh8pNAqjuE4dcC5ooqFWmIKKFnPYjt78ltszd44Jpdj+aH1rIHT4Dfwd7oUW0Q0fjgilxIhs3rRM2NcyHWuOBdPwNilYN7HkZTngOJpxHZqqqZMQp9hESFsgFKwi8ToUNbceLo9lfRPV25yUV48xn0P7YX3f+6Gd3/uhnpwfHbt7vm1OdeO2fWaWRRAVT8+yJpGQNPHUBoUzsGn9qPdAmG+vCfTkAaThQ+UAfLwK8A6aEY+n63GwNP7kP6AqoREFWVNhJLg8gEybPDufjBpMqzPxE8NgBUMYkCBLsIR6uX0TMez97jixVCCLc6YLpXGwMLANKgfqLfhYC+/2lPie/a2RBEQeURG8OGfRKwvtsckV0cOcwMjV9bBeesupLOm+oOoefHWzH81nHm/hZcNgCArYYNT5kIEy1bdd6p417UjEnfuwKOSWzYZtWqyWh56BJ4L5+hex6uEViA0RhORerzAIoSUOocHYY0dh58olppo/v5/t/uqfj1KoXgtOVee5a2UDtG75rJzhHI4XwCdvDF4kJUCSFInS8vjNoy8CtAdHcnpIEYUl1hhDadLvyGUUJWxVhKI3GEt3Rg8JmD6Pvtbq5KghxJabZdlDAxifRr2qPxCbciKgwhBIN/OIDen27DwBP7QAgBkWQkTg8h2cGPgw2+enSMW6lPeEsHeh/ejsiOcyAyYQYr0ZP16ln3z6hhad+DyATRg92It/Vx91etmQJHU3VJ/ZgcTWHgif3cfbTBI1bnPdiVNvBjR3ox/M5xpMdwYk9/BscUfj6WWbzr9ScA/ItXvo8QnOxzkjo3gtAH7fkNok4M/gXornjOnnGBaoU/z+j172pRCfXfcjSF6MEeSKFE5vIE6UxehxxLIfzRGZBUec+jpYNfAWjljcTxAYMjR5fk2SDztxzLLyGSeJpbslsKJWDzOjXbLzZ0ZcPoh1kmSJ4bQexILzxLW+Ess/P/pDP0/GGkMrGFqe4wBp85CHuDB7EDPYbvk4bjsNWWlthWKUhazsXPhj5oh+Bhl+nFbOl6y8s8agh2kTHGpEiS8b5eDBBCIAXjsNW5IYeTkIJxOKbVmPb+Jk4MYORtftx96/evyIWVlOKniPCKZGUQnfmhn1aKqqSBnx6K5RSB5EgS9Z/SxvyXQ6ovgnhbHxInByF6nbDVupHsGM4ZTAAgOMqbRDqm1RT3htHwmhcy8sbQoUWSxonakR3n4btqZsWvWy706r2gl7NQYXi1JQghuesPv3UMiVNDEJw2NH19NSLbzyG6t0s5UBQqovpnGfhlIsfTSjVGir7f7kbTV1eNeXVG9UCh9tjzlCrkkQQweQIYujoefIEu3S0RBF9pgxxNIba/G3WfWgz33Iaxa+MEI3kmyPydOjdiXCkwQ+LUUC7J6UIhx9iVq4gq4Tzr4RztJKxPMo5JXiYPqO/nO9Dy3cshUt7l8YwUTqDvFzsBZEJeZCXe3Xv1LHgvnWbqHNF9WqcLANgaPOz4Qdtt8TRjKPAghCCyUz8JkvbgC/b860oa+PSqROIkX/ShVEhaxuCzB/PKPzoSvPRnKwW96rX6DSvrcvxTpoyNal2DdRTaUqhWQqrzwirzEZkgsvM8SCKN6sum5SeyZmRFK/x98eojyCMJ2GrdIITktPlJUkJ0f3feuAcqJultrZGWCe0tyG0bjKHnh1vG1CDgXStxcpD5m1ftVZ3AM5qkukIYfucEoyFcMVQx+PnX+ZdyNMVoGUd2XLwqABeacnJNhHFgwNH3AQBIVKia4BDzg+YEl1G7kIgebXJjdPd5zpHjk/CWfIIlSUg5Qyyso+LCg84RYraLqu1Unzb85jElJM5AeSh5dtgwYZd5BulxoYIGvvoZqyTpoZgpWU/RVV5fo+6ram6ZB6+Bh3pUxvxCv4meB38Ucs7omHIe2eq+F4rEiQGEP2xHZPs5hD+mEqDp32WMQnR49396MIb0QBRDLxxmto+W4Ill4JeJUSdmxptZKXidnTquk+fBlwo8sJUk+EYAsQPdGHzmoMaDSjOy4SR6f74D0QN87xYXvRh86mGWVJUcU+dGxrWqy3iGTfIypv5zS+GcnVcxKDQIEpmM+uQ4sl01uaMGUd+1s/PbLZnM0YPzfY5lrHa5xPYX0T/pIDj4BqieskuWdE/EMBROU7lTNZFgYvApI7hS1WzlpMR6JFG51QE5msLgU/zcAjXO6bVlXUvtwbd5nfBeNl1XWnNUPPiFDHWDkJNK9qNEkgtO2i50Fxneljfqo7vyzgJC33o631clm04I4eahpQdj6H98n8agL1SErlQsA79MjGa0RqXBK40ZhRhe/BxJjl1SjDSU9/qGdTR0U/0RRPd0QY4kMfLOCfNJOyZCdEbe05Z/NywJb6FLMck/rhl1sPmo2GoDz2KqJ4y+X+xA/293j6oHMB4wKChEG0OWTObowfk+LxYVl0oZwomOIHd79eXT2Q2ccBxef5ZFHR5QrQoZYgx8ajKRfebkpGS4QlAInthEJRIwiSSj9+HtpvsfvQmUWQS3nfl+shr6upKQo2HhFjqlXny5mfcW04wChdKUgy5sJ8lbFQTAtEuzOpY7prxr05OpdB///ogf6y9+layM4mlWDH6Z5EpHcygUO1dRTDxYkW1nNdsKJc2MFtFd51Fz3WzN9lQX+31KIwmIzWZuUz0L3zjGYlTChT4B0IaYa26DJhwsi3tRMwC2LLiR4TCy8ZRiZERTCG/tQM0NcyvUYvPoxjZbBn5F4XoXLxIDP93Pl4EtBkIIiGqiUH3ZNLhm18M5TeV51rkl5aTEzVlQr4SoDR9aWEFt4Cfagxh6/lBuW/39S+CiVuDUSMNxDL16FFIwjqavroLN5+KvblC/bfzEAOKBflSvngJHETlgfb/eZfrY6nVTTR+rhyAKqLt3EaL7uuCcVgt7xsB3TPLxva6jcfsWcN5pJsV0giYhqFScoanVgAsoRZ3qi+iHujCFwaiXFVihjR7qwchbx5lt3qtn8dtYQlRHOWFmlge/TIy8jJXy8piixJvTrIGfDsYrviLBW3VQZ55ntf0JIUh2hZDS0VfXC8GH3mzdoixoI93eWMWGtVDU3JQx0OnfwcDAT53Nd4Cxw726x5WLYR6AqOfBtyz8isL5OhOnhiBHUwhv6UDog9NM9dXxhF4/lMWMMZTqCjPfQevfrYfvqlla4x76k06eTrYcTyPdzTpKHK1e2OoU5aqq1ZOZCTetsx7adJox7oFM5VQDgm8cQ7o7DBJPo++XO3UdW1lDVAolEHypDfEjfRg2U7k3+35J5q6Y2+rcaP6LdZrKs3pGVrE4p9ag7g4/qlZMym2rWjtFr5X5VxXqLwqGNKr709FKHDVTg81MobZRYui5Q/o7Gf+fXpZtaaiNe4DNw8k6uUpFcJfuh7c8+KNIZMtZVK2cPCbSb6X2JbIJAz95fgSDfzgAAGj44nI4pxYpHQZ+JzXw1H40fmkFM3ipyzIPPn0QzQ9dglRPGMGX2wAAdXcv1FYZ1LHwdZfjLMqC8RrZBLjm1GuW5Ru/vDIXw8p68Pk3q/peHK3BgsjEeGLL6EpT77Ps+8qi84X2Prw991qscqL6kvI9scWSaA8i3tYLz/JJ3P4utOGU8Qlkool7VzPyDmsYGEpr6uzKJutVr5sG3zWzAACJU6rVNAFwTPah8SurIA1EYVclQhaK9091669SA9pJRkwn/E2KJBH6sB2JE/n26RXE4yFz8szq7l4I14JGCIIAz8JmSMMJxI/0ovqSqSUVqjKLZ2EzXDPqQCQZJC2j/ze7AeRv6cSpQQy/dRyOyV7U3be4vLYU8Ip7lrSwGwQBOYu2kp2WmXNdoE5STkqGzlaiF6JT5i1iZhJnb/TAVusquiKtrdaFmpvmQdxv/HwaYXnwRxlNMt9oUeJzZSaujs74Hik0sBVBujus6eB52rHxQB9G3s9fd5gzY9aL0BFNaPyP6UqL6rrFVtdND8WQ6is/PKAcCCFMiXbBLsLeWAXP0hYIDhuqL5mK5ofWsooKdEVhHQ9+Wh3ulpZNTUCLpdCqlf4AYFn4FcXE4Bjl1O6oNInTQ4ge6M5NWuVEGsGX2xA71Ivg6wHNIB5XhaPV378ETV9fzWwzMzlVF74xpICBGNlxDt3/uhnBN49p+tCWv7gUgihAdNrgmOzTOD0KGfhG8EQa1E6aLCPvnmSM+2IghGhyDhq/sipn3GfxXjoNTV9bDc/S1pKuUwxilQM2n4txXsgjCXT/62YM/fGIEu50cqh8sQ2DW6l63VRUrWFXE1inBEHy3DCCrwc0920l25E7pIy8DRo5kUZ4SwfC289xz0kkGZGd5xHZ06kUhuJIUjLt0QnRKVtEwcT4LXoccEzROglEn8vwfbaGKrhm15c1ObQ8+BWk9rb5EKudjEFcyPtRMVQ3p1jlgGteI+JH+zQGjWdpS644l96DwZyaer86ZtQ0Og+COvGKNzhE93Yrev3ZNvCWgHU8+M7ptYgfYdWEfDfMYTxwvT/bhta/XT+m3v7YoZ7cRKXp66v1VRkoUj1hDDy+D0DhuNjRRBPnmDFmam9bgJpbCPd7ZDS9dYwfnsEjR5IQnZ6S28ojule/ABAA3RCd+JE+kLSM6jVTIZaxbGqRwcx4SpRwmNDGU3BM8sJ79ayKemZTveFcfy2FEvCtn4lkx3Cuj5FHEkidG8mpsRBJ1pScd0ytgei0QXDb8/2jJAOooBysyY8cP9zLLOm7l7QUNOBtNcaGBpAxlARB82zz+uvYQb66j1RAIUlOSogf7YOjxQvHJHaVIdkxzBSRdEzxwdFSXbDdY0IBN2l6MFaemo+O4WlvqYbvGk5oJP18SATBV45mJhuDcP3FutITj0158Es7df4SivpM6IN2pHsU20msdqBKNWELbTqN6B5FpclW7WSqMTPnS0gQqkRzITqltN3Ee2y1btg4cuqCKKDu7oW61d3pkLBSsTz4lUQQtJ3lWCWdUA+frT4Tk3jLPE38l++62ai5ZX6+edEUkkV4GERfieFGOl/D0LOHcp6zyO5O7jKbnkdI9/zUM6sJ5QHgnt+o2VaJpDkeeqsD9CpE/+/2mFrqG347/x69TmE0SPVFMLLxNJKZqrUj77Jxs0zlSJ1JksB48PmfVeIVBjGQUy0FkpYR3pwvauXi3At6Hvx0fxSRLWcR/sg4JtnCHPQtr1GNySANxjDw2F4kO4YR2XEe/Y/srlhssxxNIbQxH1YWyejap1UrZIPPHMx5AtV9kWOyN5fkKphYpcrtV40Lai+sGntDYQdA7txUn2PGsLQ3FTaUe364BT3/9jFCKo1/Xh0YOVSc9HL2uwhtPIWRd05g4Il9mlVKdYV4XbWUC4Lx7IuUqR5E3yt0voT3ihn8N1D9V6o7nBtTSVIqq34JIyVf40LVyskQvU64FuT70HI9+LH93Rh67lDOuAegWfWRE+mccQ8oY+Hg0we55+t9eDuSXSG2z6hkiI4J+845q45fuV0U4PY3oeFLK5jNrvmNqL5sOlwVKMJpGfgVxtbAehvLLZVtGtUMNevl0qg0rJ2qMcIGnz5gWvHHVmBZSb99+g9CdH8XIrvOI/S++fAf+oFVD/i0h4+XTCl6nbCrvD+joSYU2nwGvT/bhqFM7kAWntHPC00yOmYs1Y+G3wgguus8Bp/aD5KWNbGEpqQNKakvvXuNl0AXb+urqJaz2kDjeklEuoKodgSI7uvSbLMoAWpwdE7xaby2PKThuK6HuBhih3qUwV+lVU1kwjVas6GE8aNsfHnVGio/gM4zSRdIjFQ9vz6D4kkA4F6gnYiaQfQUXmkSRAG1dywwdb7I9nOMUSNXoFBitv+gdf0Hfr+XPUZlSI3ZuGqGAkai2VozyfMj6H90D4bfOsb2edRL75Uz4FnWCt+1s+GaxzcA6Zw/dUElU84yEwiCIqDQ8u118NBOxDIcmlIowZWtlkIJBN8IYGTDSRBJ1lRQL8Twa0f1pUTLTUimY/udNs2E2t5YBUEQuHZT1iGg7vfq7l4I31UzKxJRMI6ekosU1U0hCALq71+S3013hvE0hl48jMHnD3EHkbKaQfg3sNnOpefHWxHafEZjTKmNsVLjNY1stMTpIONJMwPj0dHx3gPKd2GrzT9c2Sql3stYj6FsRuO3SLJx6onjA0hnOlY5lkLfr3ZqjjVT4KdS8Y3FQmv69vxoi2a/vbmwB5D2YOhpSPMKg0T3dOXCySqC6j50zqzTHmP1imODyqvW8MAKU+EDsWIK4OnAzeOBYkxwJ+ChBIgkI/xxfvVH8NgZ44YNQyvwrNIGh8de8HObCeHjYTaUzLO4Bb4b5gBQVlNa/2497K3855p2GsWPGdSTgMl2y4QfZ005DtSrKsXmLo0mhQyxQtVfswRfbkO6P4rYoV4kjtHjG7U6X+tG7a3zDZOIpaj+9UoOsVW1g3F80J+/DGeMXl2HdHcY8SN9iO7pQjzQDzlS3KquNJxg7S3GvqdW3cqNwRe0Y3Q2BJlb4TfzHQqCgNrbF8A+yYua2+ZXNFTYGspGAcZrTIUjRLadReLkEJLtQfT9cqem0l9ZMJXaqMsXsSQX2XpW05FG1d6yUu89g4enlE5n+B0qTERXI1Oh6c/XwjHFB8Ehwne9Moi5VB6xSnvE1QNQ9vyRHee515IoozfW1ofeX+1Ez4+3MAaFUYGoC0n16skFj7E35Qf6dH9U05nK8bTuvTpShJReIQgTyuaBIAoQVF5OgVHR0RlEK+QJs8iQie92TCus0KWulVEM6aEYBjKKYDzkaIrbHwVfOYqeH7KTW3WV0+JCdPL7zQ7o3vX5kAzfDXNQ/9ml8K6fgZqb5+ku5xcTylK9egom/eBK+K6cqdz3Ot2NHE1lkjdHkOrRD210zW+EY2phjXuSlrkKOfR3qHaIOSaZ184fdQrkhJh15tHhqXQBNKKXIKqDZ6G+LKNRcTSaxKlBDDx9gK0mr+NIo+/fxMkhU+fnXtNEAnbog3bTn4GG0PeXQeXf4k9MvRYFTTJt9rkUqxyM4xcASDpvB3iWtKDpwZWaXINyqVimmN/vvxHAPwJYAcABYDeAfwkEAm8XcY7bAPwNgEsAeAF0AXgLwP8KBALnVMfaAYQB6MWMnA8EAtN09o0q9A2f6goheW4Yzmm1iB1lkz1H3juJqlXGxhGRCdK9YdhbvMYDAeF3Am5/Yy5ezUxMV3RfN2pvnpf/e49qElKqjUk3z2VD3V0Lc8uHJZVp1lta43xFgiCg8YEVIITkDDZBEOBZ1ppb7i81TjJ2tA/ySAKelZOZgjOJE2zMaHYlRK+zT2W85HI8jeG3juWM+fCWDjhn1sGpNnzKqG5XSVr/br2ppEdbjQuC0waSlEBiaSRPDyHRHoQcTUEKxuGcbmDYZQa4rHFeVpIlvdKVMchsPhfS9ADAhOjwTzPy/inU37e49HZYsJO8zPds00mWq8j10jIGHttrWAWVxNPmVbXUTgvKgz/w2D7UfWox3Hp9rsyuXpihavUUyNEUBJcNVSsnQxAFuDIrUFUrJmHg6QMaxZZyNLT1+vrYkV5T6nD2ere58D1JRy2LcmjQam+CQ+TmVl0wCvx8ciSp3OsyYVd5svvjaU0RSsYJRD8mJu4V7/oZus5DkpKZcVCPoT8qieSpcyNwL2hSVoL0HGmqc5GUVHYFYT3MroYYojd0lmDbEFXoj/eK6Ygd7M7dr9VUbo1aFEMaGn0nUUWsBL/f/1UA7wK4AsB2AFsBrAfwlt/v/6bJc/wDgDcB3AggkHkNAA8B2OP3+xeq3rIYinF/EsBTnP9eLP0TlYlK/zibEMl7uAsRfKUNA0/sx8Dje80vS1IPXPWl0xTFgSk+1N463+BNCrH93UxYjyaGvdQlOFXnYBTq45jiyxdIoqj/NGVQpeW8gVDAg5/fpZKHo4yJUtSOkp0jGH4tgNAH7Rh+7ShCm04j+OYxJDtDCL7CJsEOPnUA0X1diLf1cc+VTSpKD8U0nvrEmSGNx3s0DSEao2XLuvsWmTa2BUFg8h6G/ngE0d2diLf1IdUVQmTHecP3pwdj6H9kN/p+vau8gmsqjwsA1GRCE3JtNZGExfM2Jc4E0f/EPoQ+OF3RvIGJghRJIn58IB/2R9l+2fvIOaOu8IlKXMKWQglD4x5QltRNT/ZV7VAn6gdfPKKsTIWTGHqljXHw0InmZj34otuOmhvnwnfVLO57eGEA5SSjZgtjqeEZ91UrtY4q0euCYC9s6CW7QpqYeyC/ykEIW7ei5a8vh12nbRcEVR8oOG1o+e5lub+l4QR6f7YNPT/cgtAH2lDU6N4uRHay/R9zn8rmxrcsosdh+IwUWtVXh+VK4YxTSseRphbGMBsWfKFgKj+XK5OpCjMUXXa0fOcytP7N5Wj9/hWaEDXRhGJVJSnbg+/3+6cA+CWAYQBXBgKBQ5ntlwB4D8BP/H7/G4FAQHcE9/v9iwH8MxSP/M2BQGBrZrsDwI8B/AWARwFcTr1tVebfRwOBwD+X+zkqiSCyhnwuZqzI+0cKJ3OGRLovimTHMFyz6vgH63QCNq8LjQ+s0Bye9abyCH3YDt81sxT5KbUHqNQwcFXnIOoU/3IvbELdXQtzS8BZg9gxtQbO2fWK5zotK56IlATBaTdr32twzqxDZJsyWMWO9OaKNbnmNqDmBu0EQw2dFJw4NYTEKWV5Mq5TgZWXQJQlG6vHDf1Iy0yZdwBj58HXuWc9S1vgnldc4p+j1VuyJvTwm8dy303/b3aXLmvKuVk0CVCMipr5a4Q/aldqO3SHYatxF1yd+yQhJ9IYeHI/5JEEXHMbUP+pxdxVR/fiZsSP9Rsu15csUWrCQSJHU6YL0tRQK50AuCF0qc6RnDc0cWwAgsOmePX1VD3KgNenlhPP67tutlI0SyIQq52Gksqu+Y2QokkmdtxW5zYVfjn8WoC7PTsJUidVjrfiheouwt5UBdFph+Cy5Ty52X8juzrhXT8TAtV/hz/WqnIlMhNhwWEz7cCiqf/0Ygw9f5i7L9UThr1eKz0sJ9IIbTrNJDsD+fAWvTw/OscNUBLRvTqqWGOGXYT3ihlMRVlAuSdZ/fky7yWO3SUIAqCzgmGrdVUkMd0slbAS/gqKJ/1HWeMeAAKBwE4A/wLADaCQF//BTFt+mDXuM+dIQQnZ6QNwmd/vp6UGsgb+7nI/QMXI3iucCoaEELjmaHXLE+36MWvqyqCaCoXM+almmLhn6+9fomtkxw/3YuD3e0FSkqZzLdUzqe4c9Dz4jkzVSEEQUHenH63fvwKNX1qBhs8thSAITJxrfrJRmoXPzK4zesHScALRPV0FS9EDKLoynRpGXixjwPMKj8kJSVMvYMxqLnHk/DzLW+G90lj1gwdvUDGLOowreVabkGsGwniNlX/FGlc+Dl9QGfw6t5Odo/hCx4bHDpeu9EJSEqSRiRPjTwhRCv9kBrZEtuCOSvlL+UdA/X2LUf+ZJdCj1ARLM31XwQq1GWpumQeXarVBraAGKKs6NMEXj4CkZZUHvzKT9Uqv6tlr3Wj51jo0/flaeJa2GB4rumyov2dRLtdGcNuVsDuOI8J02FDmO6portpooBpzsuFDYhVnfJUJ0gOsyIBa0S1LNs+MrcJqrknOmXVwZMIePcvYuO7wlg4kz2n7z/CHZzTGPUDJF+s8Pg5VpWfaSZVoD2Lgyf3aXL4COKbWFB2G5ZxVh9a/XY/GL61A85+vhb1R+zzaW6r1VXR0SPWEMfL+KSSpis2EEJCUxNpdJn4bdd7OaFOJnuXWzL8vc/Zlt91W4BxJAAcAfKjekTHys5YuLRY8/gz8LBwPgzIb137dwZeP6sZlq8M5ors79WMai7TwnVNr0PztS5SkquvnaPbL0RRiPE90RUJ0FC8M7/uwqSYdgk1Uqi9mw5uo7zZfpY5+g/kmGYUJpTrLrD5ogtqb8h5AkpLR+8ud3ITS2P5uSOpZ/wWorwC7iJrr56D2lvklyaWa1vXlTJA1zSpVDYLznAiCgMYvLodnaQtqb1/A3hc6X3O6O8wsRatrSZQagyon0uh7ZDf6frXLsIpr/PgABp8/hNiRCioMjRLJM8NInWe/H+XZ1e+znDPrUHPTXLgXNqH68ulo/Mqq/M5S732qn7A3VaH52+t0C+ToIXjsaPnu5aharpVX5YVA8hQ/en60BXH6d6vQYpxTb3W3DMQqB+x17oJKWYJLud/r7l2E6iumo+H+JYoXm9PH1396CVq+e7lmu5ps/+6YPI4SanmouqtsmJkc56u9qFdC9PqKeFufEi7DjG/mQyIbPrsMTV9bjZpb5qFqbd50kgZiGHxOq+SnJ/+bC8HRyfMTBAG1d/rz58+MVVIogaHnDyHVFcLI28cLhu7Q/W7dXX44JhvL5latncr8LYeSSqL+ZB9sXie3doStRhXaVSBEhxCC4CttiO7uRPDlNhBJCQ0eev4wen66jZ18mvhtzCjOVZKyuha/3y9AiYWXAbRxDjmW2bckcyyXQCDwT4FAYEUgENjAuUZ15hoAcI667koA3QDu8fv9O/x+f8jv9/f5/f6n/X6/X32esYS3hCgFE1zPE0lJ6PvlTm6xKRtnBpoO6sQfF0g05bYzc0N6VMWwctfiJYFUIMk2+yDw4mHViiaa/fR3m/0+S4zREQQBtnp+LKeZ5DAzHsGaG+dyjYjaOxawnzUtQzZQWxh8SqX8MUYx3uzKS3nnMlMx03fDHFP3WMkyeTqhEfaGKtTetgCexayn0igcZOj53IIlBp/WV2YphujerpwBMPI2Xz2IpCQMv3kMyfYght84ZionIR2MK1rS7500l/hYQSLbz2q2yfE0dzUl/7eAqpWTUXfXQviunAk79ZxW5LcXBNi8TjR/ax28V8/iHu6aU4+6uxdmKobOQst3L0PLX17KxvBSOFWeTEC/UjiTc1IpD77XhRpqkqGnk14KjinGRrbgVJ4Te70HvvUzc0a5wPHgO1qqITpt3BVthszvTBvA6sKN4wLVzZvt5/RWZtSKQbxV2yw9P97KKtsV0QcLogB7k6LDrplESITvwOPAKz6p/sz2ZkolrS8CQggiO9hcDT15ZECZzNHXEexi7p7i4Zxdj6rl7MoEUQ0c9gaPxlmkXeWiJT6115EGYrmVejmaghROItUZUiIbZILoLvo5LvzjVK+bpsThZ6rYjjbl9iz1UMJzBgKBgKYnCwQCaQD9AKoAlDoN/3soijo7A4FAdqSYA6AGwCQAvwIQB7Ax8+/nAez0+/3rS7xe2fCSaSM7zhkaLsNvHdNu5IzDclhHA7bUQHQoM2eeR4W5eXnXMSA9FMPQy20IbzurGIk8zynHmC8YX0t3mjkDn9pfpBFafalOrKAZI8KEbKVrXgOqL9New7O4RZlgmfBW8xizHM4SvEflUL16isnvvkQjtch7xb1Af5k43R/Vlcss1Qg1Uw8heXaYyZ9Re8c1bSEEwZeOKFrSe7sUD7JK5Wk0Eb3aUAV5JFFcn0UPniX/9vTkLnNZUYBNpzp33d0L4fY3oekrq5SB2WkvmFRecwsbl29Gs7uSMeVVy1rhvWIGXHMb4LtqVsXOq15ZVcMrKAhovdO+62fnjH7fjcZ5TvkV2vzvVmodllFFyDvjxBpXbjVDr29PnhtBdH+3IjealouT3C2xD+atpNATfTmpvyKaU67R8eADmYJOmbFbjqYgjST4DkIVsaN9GH7nhKbWieCwce8pz7JWVK2Zgtqb58LeWMWs7vAkJtW5AKJBvhWvx1avcqR7wrqr+2YEJ0SnDc1/vhYt3143JkpQ5QYEZdcb9KdmQHbE8gIoKu7B7/ffDkV6UwbwH6hd2fXa8wDuDAQC+zLH2wH8HwB/C+BZv98/LxAIGN5lGQWgr5ps0kpTR3E67Hhbn2HSnRSMIz0Ug2ATcx4AnqdNzyPEk5wrBtFpQ+vfrUfP//vY8Di9VYjw1rOAKMB7+XQINhHDbx9H6twIEscHYKtzs8usmfbVXDtbU3BGLy8g91Y6REclnwiUIKGoYymbMdDUx4g1bAKNrc4N0es0TOIU7CKIVIIGv+raaUmGIAC2CnkDc1Q4GbD2Tj+GX1eS6pq/vQ7Drwdy8fSu+UpOgnNGLbfoFdusEuOw9Soa6iBWOVC1ZgqiuzsBKElSdO5FqifMyCPmKNXLrDJeeZJ26tU+dUyvpimRJNL97DHBl9rQ+OWV/AIsFYa3VD7w5H52Q6GfQmRHYjNSf2rYFYP8e3lGo72pqqQwK8/SViXMLvPzSwaJqfkGVHbiTOvlVwqeJ55Gb1VD/T5bXX5VWq3wU3uXH9G9XblEfDmkfHekBEnRsUQQBNTfuxjxY/1wL2jM3VvVqycjtKldc3zsQDdiB5QwO7e/KTdZt9W6AcFY5abUySBPzYhWi4of4au7AfmQG94qfP5PAfZ6Ty5XSg4l4GiuQvJ0Psdw6NlDmPSDK5HqCiH4WoCZ2MRUC6CCXeROSmpumcc8uw0PLEfsYA/kWJprX6mdC+qqsczH4IwpaslctToeezL9XcxhogBhjCaq5Rr4WcvEzGhWlOXh9/vvAPACABuAfwgEApuo3X8EMAOAFAgEOrMbA4FA2u/3/wcA1wJYA+BeAM8UuNQsANcU0zYGzk0huGywN1czS2uOaTUFjcb+3+wGRAGND64ARIEbsqFbkKlIrVwegiAoKhYGDzvvl47u68pJp9lqXXDNrGfUUpKnhxhDIvtQeZa2gqRlRl2moIdGFaIjR1OaTPmi0PPCmykqRf2erd+7AlIwjv5H9+S21d29MFOmmu1k6GV0wW4zXKLVhWpeZ28Yf3z3GNwuOx64cxGq3JXrPIotslIIz6JmuBc25Tpp33WzMfTCYQhOW67+Qs3N8zD0wmFjObcKqTmZIVv12FbrAknKCG/Oq17IkZRmKVpzHbNNIwTxo2xl0KxSFI3a4xfZcR7eq2fpGrx6qwLhbWdRf8+i4htqAJGJkmNDtUUws0pVwFgXBEH5vTLfqxxKmgr5YhvHXzFQl5cHSo+VFUQBNTfOzfVpZnJFxpsqjB6u+Y1sBfEM1QaKKWoDn04yVBtw9oYqZnwb/tMJxcvJJJmOz+/K3uDRVEevWjUF6YFYrtaKmuTpIZBYfoXHs2ISHJO9GHr2EPd4AKWvonJWvejVJaNK7tn+ptCCm+hzKpWLoIQa8jz4ybPDCG89a7hq4VmZyW/h9KHqPk4QBG4+TBZ7HRvmrJV+NXbhy7HCK3A5xuG9Wa6Bn7VgjeQxsvtMC437/f6vQwm9sQP474FA4F/o/YFAgADQBnYq+2S/3/8mFAN/DQob+O0APjDZtJUAtKNBFippr+ELyxDaeDr3cItOVu5KrHbwl29lguDrAUgD/EGZWxAEqFjMRkGvleo6wTePMbKQI++cgHMWG1upSa6hHlLPiklKZ9AfhWd5a0GvnLpa5NBLR5DqpBRWiuwA3f4mbmW8QpOxbOGSHDYBtkZPzvtcvW5qblIjellDxEZNYgSnLf8UFQP1OzzzluJVSKWT2NvWi/Wrpuq9q4Tr5F+WVWCKgj6Po9WL5m9dAohCbru93oOmb6xB4sQggi/zUntQsFKoLiWEsolVDtRkEtGlUIIx8EfeO8lf/i7Bgz/8hjZMj8TSgMbA1078paEY11MOAMnTQe52Pa9rqaSHYpm8BAENX1wGW+a+N9U1mXH/2MScXGzfr3ai9rb58BRT+VFnNUqwiXDNbcir+0Dr6SuGootLjUPDgId7AWvgV62ZAre/yTAJVv1sCO78PScIApwz65A8E4S9pRr25iqkKfUyEk9DjqVYydSL5LsClMlN7a3zQdKybv0Tuv5K1fJWiB4HJv3gSgw8uZ9fALLEj8+bsMYD/QhtPoPqNVOYPk2NNJLJHyQFvCPUbrWjIsvw28cL6vDbsupDFbBpHFNr4Jhag9T5EfiunV3UGJbqCZtW1QIwLu/Ncg38ESjmSZPf77dnYu5zZEJmmgDEA4FA0MwJ/X7//wLwn6DcLt8LBAI/LqFdWfkJ/ohHEQgEfg/g9ybbtgkmvf2iyw7PkpacgS8nJIjUM1a9dioSHcPMElYWPeMeAMIftkMaimmWqoyWz4qBZ6wwUNdJD0a1mu8Ems8kBeO6hpUgCGj80gqk+qLmBlXqIRp4bJ92f5EfXaxywLO8VSsPJhNFi/9MEKLboW2byrOd/S3qP7sUcijBZOuL1Q5GE5kusy66bSjBf68bojJS6SIjo6DXrYaXsyIIgm5cLwCAEKSHYkj3R+GaU685B0nLCG/tAIR82Fj2fTlK+Dw2n0vjyeQWT6LuDzPhJImOINcIkONp2FQuBZ6EZuxIH7zrZ3Cvk+D0MUAJhmgBQu+fyk0+gi+3ofFLK5UdJgZqjboFB0EUmG5u+K3jEKsccM0xl0xqtBplb61mDfwyQpfUxW1y55xWA2kopnXsjEPDgId6xcTmdXITi2nUoSE2lXRk3b2LkOwIwjmlRpFPVoU59v77dvZ8Y5AHVGlqbpwL5/RarkJaFtHrZEKWGj63FLFDvRjZcLJ0YQsKZ6bisZrI1rPKCqTKISE4xHy/JhOlEGMB+97MSp2ZIlhZUQq1o7AUBFFxtpKExM/v0wnRSQ9GMficwUoKj7FStiuCsgJ2M570w1DCaBZwDvFnrnGw0Ln8fr/g9/t/A8W4TwD4vJ5x7/f7/9Lv9z/r9/tv1Dnd7My/hetpjyICtRxJ4mk2/rfKgYb79bWejYgd7EHyjCpGuUKGGE+711ZLKVhQ1+GGlvAUhEYSjO6zunMQHDY4p/hMLb8WSkgqpQiO77o5cExjByoiy4gd7sXQ84cx8MQ+JdaaRicuVBAEjbEiCAJqbpqnVBNWyTAKBrq4hlJyOp1JDSehsSyKrKJYSYwMfDmSwsAT+xB8uQ0hTohWdE8nItvOIbL1LEIbT+e2l5GLnkNPdYohc6HIjnPo/clW9D2yC2kDz5VebKc6JI+kZe7KX2TrWUT36Mjc6SwzixUM5QLY2gSprjC/0rQOplYTOP1DtogUDzkpIbz9HIbfOqYkyxmEMXoWt+T7JZsAe2vpcnZ6VVZrrpuD5ocu0Ww3FcI0DtAkKJootqdeyVILK4hOG9zzGnN9Yt3tPDOCfsPF8V3RiG47qlZMQtPXVuseY1fVUBAcNlStmozmb69jz1WijrogCmj88kr+TlU4atOfrUbLX17KqBwpVZiNO8/qddMKtsM5xVfwvsneC6LTphS3LBNBEPTtAs7nkBNpDD59sGB4nVqlSl0BeDxQiYy8tzP/3svZl932ponz/BuAP4OyKnBLIBB4zuDYOQA+C+Ar6h1+v98N4DOZP98xcd1Rw0YZW1I4wRhLWU9EIa1XPTS60hWyw3gPgntx3qCRRhIYfPYg+n6zGzLvhuYZnjJhdNzLiaMsFK/OKzZTCNFpQ8Pnl7FyeTLBCJUAHP64g20H/VuaSGz1LGpG4wMr4FnCyjCqDbjqS6fBNa8BjV9aAdFpU2QjOUgSweBwHLLq+3ZVOOyi2EIelUQ0CBeL7u/O3QvRXZ0aCbbQB+35Y/d25RNRKzBhMaPkQWQCOZ5G6IN2kJQMKRjXrXBM0rLuYKI2kNRJXzR0ZWXmHOoiaRnCm8+g//F95hJBzaAauJPtQeVFgWiqhi8sN3V63e9IJ1wruvM8wh+2I3aoF32/3MkOwGqZv3oPau/wwzHZp0jbGkj0FUIvzNFW74ZgEzVGLm8FazxiK8F54Gipzj0vrvmNBT3wvHwIhovjq+Jib6rCpB9cyd2nJ0Nqq3ai7r5FsLdWw3v1rLJUhBytXrR+7wrDY2x1btgblARzugBXdFdnQQ++3qqX9+qZudckJRd0wtmogoiOMibaRZP5fLFDvXxpUBXqYo/cldwLTCUel0ehyFP+vd/vX5Pd6Pf710JRvokB+Dm1fa7f71/o9/trqW23AvgegDQUVZxCMfG/hZLg+4Df7/80dR4HgJ8BmAngrUAgsEfn/WOC4LHnPA4kIbGDc2a794rSFA/CWzow9OIREElGqifMJOuUkwzJi6ekvQvp7jCSHcOQhmLGyUAqJBNa3ZXAUWpynCAwXkS1IZXqYwPlS9UmVkMPaM6ZdfBdPQv19y3O/Q5VKyfDk9H7dc7IHyunZTz39lFEVN7Zivu3KjVzLAF1CXQatbHX/9s9hvru/b/bo3iyy1SbAkxK9clKgRQaPb16Qx17lYGvZ6zrQWRiOPCke8KI7OTI4ZaASxUGEN2j6B/Qq37qlTLBY4dzmnGYRyF4SYyEEIS3sJNyRn2I89t7FjWj8UsrDJP2SqX68uk576s6rGXcF3LKINhERcM7g95KBfMeu4iGLy5HzS3zUKuSENVDXRmVOd9FGKKjxnf9bM025/Q63ePd8xrR9OVV8F5a2ENeCMEuomqlvppf45dW5F7LqnAappq6zs9AF7zK4mjN399K4S7jFT16DKdlitV9R0XgfA45WtjhYat1a22NcXhrlm3gBwKBdiiylDUAtvr9/rf9fv/bALZA0b7/ZiAQoF1XG6AUxbqP2vY/Mv/2AHjI7/c/qfPfosw1jwD4fuY9L2QKXb0A4BSAbwA4CvPSl6OGIAjM8isTm57Z7Jxdj5oCesC+a2dxtydODqLnJ1sx8Pg+Vm6yjE7QoSqb7ZheYxwLbZLsYA9gVA1Fz4oyBmdqZUEtKyiPJBhZztCH+aQkXWUjE1SvnQrH9BqINS74rpml2S+IAmpvmY9JP7gS9Z9azOyLxtPYH2C9whUPA7yQITqO4pZos4ayXn5CdF8364UqVW1KZ5mcjmknMtFIfcbb+riSlnQIja3WzX5m1WeRizTws/KehsfsPI/+3+/F4LMH9ZP4TaCWpMsV9KE+gmtmHZq/fUlu8la9egrMQocK0oy8e1Kj481PWKYK6YxyqIfvOsWIc0zxofXv1sNHefscU1hDxWgiO97wXT0LYo0LVasnm3427fUeVC2fpJHF1MOwuvBFGKKjpmoFR86xyIrK5ZC9N9UILhvzG7kXsavNuRU56E+01MXLBLedub/T/VHGO970dTZsqeZmdhLoaPWi7t5F8KycVNBOKgk6jTHb1+rcY3Qeg2eZ4nTLKf4AmiKJ44GKZFkFAoGf+/3+Dige+yuhxNBvBvDPvOq0NH6/vwFANjBxKoAHDA7/DTIVcwOBwE/9fv9hAD8AcCmA5QDOAPhnAP8nEAiYVu0piwIGlZ73LPuACIKAqlWKl7bnh1s0x3nXz0DV2qkIf9zBPxdPzrFMQ6zxyysx+OxBQFa06iUTxVp40MoUtPJHuq8U2ZjC+K6bXbAgiyHUg83L9O/5yVbUXD8HoY2nKrYcJ1Y50Ph5cyEKTHJy5t/ufva7LFUfXg/mfBdgebz+noVKWfVgHPZWLzcpPUvy9BDiR/p0B0s5kgShKqKW6g3Um/CKLhuk7MqCXhL0eyfR8LllzDZ6gmhXVa+O7O5E8uwwqi+dDtFtL1pSNbTpNPO3Wsc/S/aZjGw7C59OZdeCqD5yzuBX5QfZvC40fWMt5EhSWyPCAN81sxB8lZ+rED/M1hnhJSzTYYKjPVmtXjsVniUtENza4lhqz7dZw3c84FnUbC4HpQwM+/AJYOALdhGeFZMQ29+d21ZqbH2p1+duV4WlOWey4VLJAgX1AOVztH7/CkR2nEeqOwTPslbDzyaqJKR5fat7fiPcmRoplUZQyWRG93UhsoUr0Ija2+Zj5E8nILjsqF6rOCZ8V89SlL0yNYDGGxW7qwKBwOsAXjdx3CzV34MocXEjM3kwnECMKby4tMk+vtyVqqMSbCJqb1+A4TdZz1M2hKflu5cjeXbYXFhMmX2go9WbSwYTXXbIBkaVEb5rZjHKFKNJ05+t1pUJNAtTRIvnyUzLhkoIo46oNfCHQ6pl1Eq78HWKA40VgsOGxgdW5EqfGxn4dNw991xOm0b9qLQ26QyQLjsU3wZ0l1J4Bbzoe01w2ZlY8WR7EMn2IAhRJtvpfoPJMTVwE5kgsp0dqKrWTIHgtCGylT+AAcqEonQDXyeciFfFWhSKMu4BRdI2G8McD/Qzxv7IeyfhWdoCwWHTlShlEvTH4FbWM9zVHvuLycAfC4xC4CZCiA6gJJvSBj4tHzoWVF8xXWPIaiRNBYEpTMjU0zD4HQSbyBi7RqGT6vyTMU84py8nE6YmD41neStsPhfqP80Ko4guO2pvK5AYfgG5iFNWLg581/KXw3iJYZ4lLUz54mqqcIYgCLDrLFGrqUQnKLrsRXkV1IljgCIXZ2+pbJJMzU3KMp3gtKH6iumwN1XBd/2cso17ALqlxccNVPNEACAEw+EEZsQl3N2fwIpwqlLlEPJUIGa9EgiCAMlE6XMjlBh85qQlt4WHe2Hes2l2haerL4w+ytssOGzcdkUzcfLx4/kJs6bUOTWQxo/1I7yZjUH3XT2rcGiKwWBcENW9l+wYRnoopqogW/rpaZyz6zTben68FXI0pWtQMCsXF9ATbG+sylXstjdVwdZYvDDAREbt1WV3jvM+2iTO6bW5zyL6XCVVTS4H3/qZaPmrS5ltPM8+Mwmnn6tifgajcVUUcmG1YpUDrgqo5hQF1SENv32ce4jvmlmovWU+d994Z+zWhT6hOKfVoPmba9H3613Mdr0sbe+VMyEnJYguG6rXsPGppmPhK90HmuhUbTUupGP5OFjHdCXO1Gj2XgpVKyfDMaUGNp+iG+xbPxNtpwZwZvNprF0yCU31xQ+WRJYgv/gjkDNRANcX/f66uxcW/Z5SEARFBzz7awhQbKorR5R7aUlUQkdYG35RDnTMN0lfWJ1fuihMKcQO9LAeowo+J+4lLaha1pqrqqyXl0HHLQ8Ox/D0m0fx+d78xEVwiEiF+c/McCiBVDDvRau+bBriAbagjJxMQwomMPxaQPN+wS6OroHEuT36f7ObjdWukIUvOu3cyqq9D2/PGc9GXEhPsOBQVLuS54bhNqEs80nDPa8RIU+7UuRNzQQx8G21bjR8bikS7UG4/U0X5B5QrxzxJhkix3GnHGy+vbqfLVPcsOb6OXDNqYej1TvmEx3aplInFWepWmM+T2i8YRn4Y4DIK6muY/jaGzy6+vimDfxKy66ZeJZJUkLLdy9H8JU2yLF0bsYrOrWFnMr16tOJwKFIEm99pMQZd/aG8fVPLdN7my7k6Hagow0iiostrf/cUrhm1BV9vXJQG/hOVTiCo1KSh1DCPOiQsLFSQtLDvbAJ4SLzN6oumZrzfgOKZGaWchIts/klgseOlocugeCwmUqApce67kwid0IEPJnuwN5YhVDnCHhPSMdvd6E5lf+9bbVuNHxpBQaf3J/bljg2wCbcZ8iFPYyiIaGX/8GEVVWwa6q9eR56VQY+oORaFOQCG4r2Bo9G+7xSjIQT2HagC3abiCtXT4VzjI2mchE9DjT/2ZpcaCtd66CQNvnFhHNaLZzTCsiCjiE8D75eMbxiuxH3khaNTHA2HEewi3DPG50Y+0IUkuz0XTPropGx5XHxtvwigjeDLarEevY86ng1lw2uBdoHo5RiT4bXVbXfMcmrGSBJUlL05D+zFE1fXgl71pOubrPbjto7Khez1tWX9+oGQ6V5r8nWVwAAdmiNBT1sDZ4xN+4BrZN0ZZgd8MRkZVZMCCEY/MP+wgeaJJmSsLetF+3ntTHoZqlarVWf4N3/NIYJgWUYuzU3z4Pvutlo+OyynNdJb8JAT8zZ0B0Cp0xyxj2gqDPIOoYybdxnz+tUSSyO6JRWz8rfmZnUlJyobeZtFZxgiFUOuOaaq2KrbUfFmjHu+Gj3eRw63o99R3tx4Jg22fhiQPQoFYodKgPYqA6ERXnwcouKKRBlhO+qmdrcinGwGmNUaNLM/vGOZeCXSSmDYc2Nc8sqWJHF7W/mJsRVOmlLcLEeoJrb5muK0+iFJKhVQVq/cxkcTZWLy992gK3eWVKSaVoZNASBbxx7r5qpiSOkNenHEkI1wyMTzI2rvvcKhETFjw+g/5HdSHWxITGFjGkjtu7vxMYdHXjxveMYGiktll502gHKoBta0IDaW41jI+2NBrkZZYwvNq9TkTilV6N0PD10VVSSzv9ekkxQR/1epMEDQRRATA6e2Yk3/bvwnsOmr63OS0yqk/s9dm2Fy5IjsQq/sdKhCDW3zIOnFN36CRwWE2jP52l8uOscOnvHRlBuNBCdNiZEwrN0/EkRXszQ/SOtOZ9FsOmE9RX5+Nh8LtTexvbV46EwVEE7bLzn5RXAMvAriNHgVXfvIohVDrgXNTPaqcVSe1e+kIR7QaNSgfEutrhEpRNVbDVscq/N61JKTlM3v97D6r1yZs6DWelY9Y6uEfSrwkYGh0swHqlKtB6BVSmqu2chvJdN15QZV38nYwVtQt0zoA1FEExMcM52h/DK+ydw9LRW4Sh2pBfBl9tYxZEMdXeV/vvtPpwvRrTrcLfBkcZsr7FjQ50Dzze58FYwapgIXn35dKWwyyVTufsr7Q0UREEzGQYAx6S8l12mJmSyTNBEeeWljHyiGfva3pQfmAslw9PVndUefBJLKxUoqeX5dF9EtzqsIaY8+MWf1ghbtbNgASVe0qZc4mrfxcgzbx3VyOleTPiumYW6exehkV4ZtqgIvutnw1brhntJC1OxnoE3ppQwQVbLcFa+aEvxFJJ8vdjzYy7u9YeLCPf8RrjmNZR9w3gWNsPRXA2SlnOloT0Lm+H2NyFxbABitUMJoakgjNFiE3IGu++aWQi9r8S/04o/NLZqJ5q/dQnkeNq0CpBZeOEex88MFZ1oK0yeAxJSjN1qYRdkVzOS0mR4r56V82qoE/dsRkoPo0jBLpFXF0HF8+8oCZgnzwYxZ1otE6PLKxAEABAqVxzIUWJMoyTJOHl+BFDlotgaPZAGlImeY1oNpMEYRJ8T1euUyo++q2YycfhZnDrl4cvBVudBuof1mHqWtOSuL4cTIIRAEATIMkENZUgnMvKJZoa9rJoUUDg3h5F/Tak8/BnDXhCF3HUHHt8Hx7QaNHx+mZLYTQjkSAo2b4F7nlrNtNW5ubUkRstz7lnagtihXu4+e70HSZWcrFTBXJWLgd1HenDH1XMudDNKQrCJo6aD/knHNasezd9cOybXUocAOVWVry8EthoXWv92PYbfCCB+tF97wDgIIyoHy8AfQyo1G+SFHQiCoJXNqxCCIKDhC8sQPdADz+KWnMFQtXoK5HASUiTFFJlRU6zkphmGwwnsOqwtUd89ULyniqTyg70gENSk3oT40A8hVOfDcESVEXWhYvPkrHSODkYe/N7BqMa4jsXTOQPfyKNdySqCDntpSX+ndeL36+5eiKHnDkFw2VF/zyKluBBdM8AmwjWnHolTrIa+c1blJdmcU3yMgV9723zYm6ogOESQlKz8l5QUebjTQUyOU9KWzsxvYyLsj07O460a6JFWrcx4M5Mg9UCWOjeC8MlBdNmA+s1nIXWH4b1yJqpWTAIhhFuMiG529aXTMPIOp2bEKK0Ze6+ehVRPhFtEz1bvAVT1B4qpoHsxkVRP4DIETg/ikiWT0GIUsmZhYZYSTBl7SzXsLdVI9yrPqO/qmQXeMTYIogDf9XMg2EWNk+BCheJWCsvAtzAFL+NfEAT4ruHr/I8272/v4G4fKiVEJ8lRh+k7C1TrP9wXaql4wCFiasIgfEJl4BNJhmATcfzMEF7bpC3iIVKGXfjjM9xTVq2dktMqrgQOnUJRhTjREdRsO9s9gumTatD87XUA9CfRIsf7rCsBVwZ0vD2QT6YXvc6cjr8USiB+tB91h9kEyKGsLrYqj+KE24Z5VGjP2Wo76F9DVC99U6iLKnkWNiO2TwmREhw2VGcK0gg2QTNvPP7+SZyTZKzLJHKHN59BeLNyj9TcOBdyLAX3kpb8yhxl4QuiANe8BiROsGFgo7Xkbat2ouELy9D3q52aar+OSV7EVPni9grmAY0njEJx3t9+Bp+/fdEYtsaYZEqCwy5e9GEQE526uxdqKkiX8psJgoDGB1dCDiXyOUHjBFu1E7W3LYDvmtno//1eyJEk3EtajKsqXwRYBr7FRcnpc3xvbrqU2OGkdlJAhvs0Toq6uxci9EE73AubRk3irhBDdmMDn/bgx4/1Y/it43BM8uLtFD8kgU4SV3u4s3jXzyxrEFYnojt0SqUXopZT+fT97R34yj1LC7aPb+BXvoKoZ3ELonu7ke6LMLHhNp8rZ+DLoaSmmmy/XcBAJkFWbeDv8drR7xAgCwIEQtBf68Il1H4jD362EnYWx7Qa+K6fDTmcQvVl0/IrHaL2N5kynISen3vkPWWymOgIovHzmYR7VRExz9JWjYE/msmtosuO+k8tRuLkIBKnhiDHUqi9dT5snCJ4etWIL0YGh2Oo8bpgt4kIR/VDjwZKcX6MEvuO9mLjjg5Mbvbi/psXwH4RSxFOdHihNCXl6CBTwXqcGfc0YpUDjV9ZCSkYh2MUQjjHGsvAt5hQFCtqRGJhxVuvRtKGq7j9TaMWBmWWaIFx0JaUMPDMAZC4lAtXSHYMo7XWgXMcQ5ApVMsxvD3LJ2nCk4pl4w72+y1Vl9vFed9AMI54Mg23gRcbUEJRNKXZR8GoEGwiGh9cocjGUmFcIjU5CW06rXmfJAg540xUFRRLiwJOUasNbpWNrBf+1vytS9hKlFC8aNVrtEnHpZaIT50d4e8QwJewHGVnbXal0XfN7FyuAyFECUGiJr+ma4qMc3Yc7MLmPedR43Xia/cuRVingCJQhvzpKLD9QBcIUWqX7DrUjctWTMyQqYuVRDKNs90hTG31wc0ZNy6Ug2sssFU7L3rPfRbLwC+X8dNnWpQA2beBv0O+8BJePCKcpJ+RyV7UZCQt6wdiSA1oQ46qdGLzac11Qh3T8MAKgJCyE7bPdo9g31FVgZMSvbh6Bsor75/A5241VvgRHDY4ptUgdU4xSKsvm1ZSG8wgCIImR8PRVIWs/zSdKXBF0+UU0TMQRSyRhljAO6aWgtUzVtXGvSFlJJNlDWl2tihAEJW8IKba7hgmrWXvM0EQULViElvkrMRVpPHG5j1K8vZIOInjZ4YQiekb+HW+ynhOs89hOat6dDu37OsEIcDlKy0jf7zwxoen0H5e6SunNFfjep8TMpWo7lmpn3NnMX6YGL2cxScKI637Yr1UZPe7eicq6jxjRUxlIDln1EKYXjgRSNIZjJmPSf0huu1wTq0py8udlmQ8/45WlafSnsTzPeZ0vmtunAvn7HpUXz4d3ivHNsHL3mwc833coxjpv35uPwRViM76VVPhoSYMktrA53jYam4zrg+gphyFpJxELhOio/zjXnhhV7yy+G6gFGTs4qiEZ11okmkZe9v4SkIADI1/s/QMRPDr5w/gqdfbkNCpfWIGl2pSunV/p26CcJYTHUPYdbi74HEW5RGKJHPGPQB09kVwdGUrvFfNhO+GOWj5y0srrog3kUimJKQqUI+mElgefIuLDqOHp2jbcfJs4MwR7XYyPh5QGkIIhu2sIea9ehYGhjlJwir0InMZY5s2HDn2XlqSC8bKSpKMwycGIIoCEkm+Kk/JhVIN3tc/FCsoj+porkbD/UtKu3iZ0Lr1ajbUOZDKGNiSTDQx+Jcun4y1S1rxkyf3ANBOcHlJtp7FxRUEKsejTZJpwGlj7qWsd9fewq4AVbLIXTEIgoCGL61AbF8X3AubJ4wHn6ZvULsyRBONpyDLhEmsL5anXm8DoEwW9gd6sW5ZaZ5ct9OumSBEoik4a/mrUV19Yby6Ucn7iCfSuHL16K3AfdIZCGrHk5NdI7j6vmUXoDUXF70DUTz79lGIooAH7lyMumJWUUeBidfLWVy0RGIpPPNmG556/YhhtdO4juEIFB8xJXioRBob5dUblwY+QAQBzzW5cKjahoYvLINzsg9TZhaWe5R1xnQmRIe271VGwK5D3fj3p/bizY9OGV7n6OlBvLftDP60pR0f7DrH/xwlxrUZveu9bXwFoPGC6HVyPe2vNjjRo/JmbvPl78PoasWAoo0yQpSJWVqSseNgF7a2aQuHFeuRL7TCYER8OI4Pd5/D8AhVPCpzeXudOyexWnPTXMOJzmjjnOxD7W0LKl4I8EKhXgnr4kiEsscDsUTpxd3UjpUBXp0Dk8ic2Xo4pp8gTPclOw6WXijPojC8YpFpE/VVLlZIOgUS7ANJJUDk8laH3tp8Gqm0jERSwgc7Obl9OsTiaWw/0ImTZ4NlXV+N5cGvJJbaV1kETg+iMzNIPfrSIdx65WxMbfWi1pufBUfjKfz2jweZ982Y7ENHVwhACSE6tIJOfSvQnxlICsTgk+E+yL/9BwCAcNNXIS67qqjrlkLWME6LAg56HbgxI1ta7XGg++oZqP6QLx0KAILO18J8XbRnWGUgfrhb+V6OnhrE5SumoF6nku+Gbfpt4F6zCIx+285ec2E6Y8nQSBz7jvZi5pQaTG3xYkCSQaedygDCHE/yOZeI7T47BAALZ9cByMT1U2HuMiHYcbAL2/Z3wS4T0AE5TDiKCdKSjKDXAT1fk4yMJ8guwrOkBbH9rIEV2H0eu4ai8ASTyJW7o0LCqlZNNqyTUUnOdocQiSYxf1Y9bBxloIlEMqU2uPkredUeRy48JxxNorrE8KSgyunSUFu6d5L3LBslCMfLmJhYFMfhE9qCT6FIEh/uOgubKGLN0taCogYXC0RKQ37ivwFDmT7NWw/xwX9iHX9mz0UI8wzqGeuEEARDCdT5XBgIxrH7SA+OtQ/mJtBf/9Syinn+J8avZHFR0NUXRu9AFAvnNGpiMAFlcKZ5e/NpuBw2/PlnlueUVz7azXqFm+o9uOPqOfjFsxmh62KNxwS1rO2iQjwMPPgd54ew8e09aPZej5vD7wN73wPGwMCnP5s6wc07rxHEwMDPmjo3XTETgQNdmHMujIgoQKYSOgkTokN7jNkv1Sj21u2yIRwd/dWPOp8LwVDeY1zlHn9d2XNvBxCJpXJx0Z9WecHaqvjhCEQQcDKjmrOICokSRQFS5hyyTLBtv5I0mhYACUD2bFUmE+BkmWDLvvPYcbAbTpngXmgHhBGbgNcbXZjcWIXP3bQAJJ7WGPjD3WHAJbL+jQvg7Niy73zuO7k2nsbqxa1j34gxRFIlY6tzM7I01rlzBn4kmgJKLAobVz33pRasA/h5VJFYCqFIEtsPdKGp3oOVC/NhZmoDP5fYbVESJJ0COo4ArbOYgo6plIS+If5EMVtY8njHEL5679Ixaeeo03Uqb9wDQHgIZPOLEG76StGn4hViVIfEEULws6f2Ii3JWDy3EcFQQuOcOnS8r2IhaBPbxTEWjNNkzPFGR9cInn7zKDZs78DmPdrQjUgsxZ3xJlISeqnYUnVC5epFrewDVESbSDoFdOclC4U6yiDQMfA7+8J44b2TGLA34qjLjx57S97rP8pwchhzuAp4VLLHL53XhCXdUUxJypgfl0AyCiexeApxqpItHeKhri1glOTcWFtYPq3UJFv6bfNm1uOmK/KJstF4GtF4+UmElaJ/KKZJalQnSJ81UYFWpIwYG/V+WTUZ+6jWAdusOgxeMgVbD3QiZSIRcW9bTy7cISkK2FjnxCm3iNMuZViQAWzPhAtJJFORukbrWRIzhh9r4I+d8bXrcDd+88KBnHEPAJuKWB6/WDFb88NXlZf8CxeZaCvJMjp7w0imJE1Ojd6Ewgy8LiASTWHbgU4cONaH97d34FRmPOjsDSOqqrL9UUY9yKI05Jd+DPnln0L+1fdBKJnoiEE18yyDw3HDMeBignRrQ07JwQ8hH/yo6HGKt4qcUPXDe9t6c8/tkZMD3PeUKiPNwzLwLcaEF/6UV1PZH+jT7N9+oEuzLQvTuavshtamKsaTU9RD2X8+r3df16L8l4XTgaUlGc+8yVb0iwoeoGZslEJ4SYxZ3E4b9lfrG/kiAe65bh4EQUB9lPo+TweRSkl4/NUjEOjvjjIm1bG2RoZ0HccABAD/rHzccyVCdEQBWDa/GY2UmkPEYIl/rDnfG9JsO0L9PifdNgxmii1dulzf4y5QPbSoZ+AD6HTZ8EQ0jrfPDGLb/i7sOFQ4TlmdI9HnFLGtxomtNQ68V+fA2/VO9Dkzxj4ljehe1My8z51pC31Hqu37VFqGNArSs6m0jA93ncNIRD9+e6IimYyLrq7Kh+QYFcLi8d7WM3jmraN46vUjmhVWM0becCiBJ187gl89t5/xwnNj8KMpHDyWDw/ZvFcx4nnJw7sOdeN8j/YZsygMIQQ4mx/H5PefwsHjffjVc/vxzmZtjQ4eoSLvo/GKnooeeff3kF/4f0WdS/18AMArG44zz4kZx4PTYUMqJeH1TSfxyvsnyuo3LQPfYtToH4qZllIbNFCCiVJep5Qq7rRBJddVlAc/2JP/o3Eqa5VwPPhHTg5otqUEx5gl5BIDF77LacPhKhveqXdiL8fQF0C4KjMkKeFnf9iLSCzFnPKdre05D9of3mhj3vPqxpNISzI+2n0Oz759FH1D+QFYz3h3UzKPlVj0yk5wPFQ88Xjy4POUntpdIt6tc+LNBie21yjtXjy3EasXtcCmU2iK9uDTCkbxhPFzZTRhVt5v4KkTBPQ6bQhS1V7pyVXNjXNhq8s/dy7e7U+1+9S5IB5+ei8ee/lwxSUOYzq/eSFFpYlAbwHVnCzVnrwHvxipzHgyjcMnlD5vaCShkeA0Y+C/t/UMegejiMRS+Pkz+3LbeY6YiCrJNpSZtOmtFJzSqWY+nhkXxcaSqrF2sBvvbjmDSCyF8yZzmSZMTkTDJP19Z4+C9JlbnZdlwk1y7+yL4Jm3jkKWielVD6fDhg93n8OxM0M4eTaI4VDpkynLwLeoOKm0hB8+tguPv3oYv/njAV25RBqjiQBtFKiTT2yiyHoLi+k/I8HcS8HXwLpLOUb7Oc4MXTHwx77TVpuDgiDg/lv8GPbY0VZlwwe1bCKdkwAuTkiIRHXUdCLusTNDePn9Ezjbza9U+vgrh7HzUDfO94TxxKtHcuocPM9ctn1ZeCo6p84FsW1/p67BBmjqKAEAqqnYe/UyfqUhhOCND07ity8e5HpraNQTUQCAIKDPKSJIJdZOafHC43bgu19ag8/e4ue9JQc9Sdp9pEdzbDE89TpHGtYA2okkuu2ouydfWCznwdd5DF7ecAKyrCSWHT8zVHRbjdBThTHr3b6YeeNDfUWrGq8TDruI26+aDS/lwc+ucp3pHMarG0/gZEdQ9xwdnTpVijOYCRE608WeI/t885ySkViaud8TSQmSJJsORcrSdmoAT752BAeOaVeKLxSyTPDie8fw82f24URHZZ+Boulnw5tkiT/2rl06Cd99cDWzSpqFp7QzHiGJGOQdb0B69l8gB3ZyDjDuJ8iBDwpeY9v+Tvz4id26+7v7I2jvHDY8hkYQ2CiHcupXWAb+BKG7P4JfPbcfT7x2OOf5uBAQQvDc24Hc34mkhIef3sccU+tly0A//04APQOsN2rh7LzeCN3B0/Fp16xVElFKDtEZojxS3jpWOYZzHg8nkTMqesry4KclGTsPdeHwif6CbTcK0QGAGZNr8NcPrIbdYcN5lw3HPPnvanU4DSdHsUWgDFHePIlXqAoAk+AKABsyMpV6n8FoEnasfRAvbziBLfs68e5WfblL3sSAvh+4RnUFOd4RRKB9CMOhBP74Lv97yWLWU710Xj68a9okH77zwCrVEfkvjl4VMGO86P0WoUgSw+HCfcTd183NvVZP3ARq5YQXopP9wdUGeKU9+HqTunLkIAvRMxDBGx+cRNsp7YreWFGor3jwriX4iy+sxMI5jaoQHcVY+OO7x3GiI4hXNp7QJOuqj9Vj56Fuxit5rjuEPUd6DL27nb0R3fbHEil4q9ix4ejpQV0P/p427SSXEIK3PjqN3sEo3tt6xlQuymiSSErYuq8Tz/8pgPbzI0gkJbz5obkwmNGCdLETw/NyHfe4Op8LNlHEl+9Zgq/cswQOavx4f3thtbQLjfyn30N++K9ANr8InD8G8tYjICl23Co4dlcZq+kQQrBlX2fBtmzaYT4nqJL5DZaBX0kuYFb//kAvIrEU+gZj+GDXhUswO3xiQGOsq6FDDYZG4lxvaD3lNaC9cbSh0cBJ6CwqRKfzRO61MGkW68HnuJhiHGNia9Wl6BRKj8Hfuq8TH+0+j3c+bi/oFWY82AbH0R47mnS3dvmVUAMg3RkUaypnJ5U8z9ytV87WnYT1DUbx+gf5AedERxA9A3w9b9aDnymkRA06qfToDuY9/fl2yTLB2e4R3ZWnQoZsY60b33lgtabokMNuw9WZiauv2okpVKEoN0d5ygj1JCwLTwaPB21sqQ2y0/2R3D3iJoBNbbBlPtaQytNXjvIKD94zCSghBMV6fnkMBGPYtPMss5L1zFtHEWgfwlsfnda9/mhCCMEJA8/76sWtcDltOZlQLzUZi8RSmnv2tU0nuV5lM5OxQ5l7KRxN4oV3j2HTzrP4eK9+Auz7OxTDkLfSF09ImufhREdQdwIiSURTEyWtCo3TewbGij1tPdi6v5MRh6jEfVkWYfa3frH2Hu5h2dVyQRDQWOfB1NZ8X6TX73X2hXGiY+iChyKRRAzk0EfsRlkCwkHVgQXa6a0z3K03+ZykKuhXzH1oGfgWGrKxkgBw+gLGJm7aWXhmT9+/vKX0K1ZOYbwF9EPEJFpmDik5RGeY8oLWT1IZ+NoOTG+p7HnXzUVclGUnlQxZKHyB+WgGFv6sKYrsmUPVUYQ/0nrHHdlDCClLBaWrL4IDx/o0HXt9jRsLZzewqwPUIbykI9rgZ+BMcIqJSy8XdYLi8+8cw1OvH+F2yGqNcpqHPrsCD97NesRo1ixuxdc/tQxfVXnN6FUtMzz60iGcOhdEKJJE26mBnDFk5hFx2EVGelT9GV/78BSilDF258qpEDg/kNoAO9cTwu9eOogfPraLKytXLEZ5F8NlGneEELz+wUnsOdKDF987jnA0CVkmTJ81HB5bA/LUuSB+/fwBvLbppGbfFSun4Kv3LsmtbGapVhn4Dz+9V3XOYby68aRmVciMZ/K9zIpb26nB3D1ChxfMmMx6QEORJD7ec17XrlL/Zr5qp2G4VTiS//2TKUmjEnQhV7MBxYEz7qAM/CT0ayKoHUVXr5nO/K3u6/sGo3jmzaN4deNJZly7IER1wsuCbB4JfSOK93yH8wbjcZB3b4qCgJULmzlHm8NoFbtYLAN/AsILJRkLUmnZ0LDJYjS7v+e6ebhsxRSmSA3twWHVAZWHT6AeQrNVUuXtrwP0cp27Oj9jAEAObIL0zP8HQiUklRMLBwCEyCCSvsev4PkLhOhkmTmlBoASd0+T7FAMKolT5ZTeovcL3nzFLMPmvbf1DBNGMnd6HT5zywKIosDmL1O/EW/VQs8wo9+XPR+dnLr9oHFiaamkJRmvbjyBtlODmn3BUALd/doVhyS1muCnDPNr1k5Dtceh8VTSCIKAOp8LDpVcWim67lv3deK5t4/irY9O453N7SCEaIwOG6ctHrddteqiPTeh3lb1Hjspy743qfL0HTk5gGCm4u1L7x0vO5bXyIPe2Vde8bORSDKnICVJBGe7QxqDkZ5gjgVvbz7N7SdEUcBlK6agodaj6RtsNpHJ39Djva1ncK4EZZpkStL9HnjOSPo5LeRH2He0l8k3mTZJNWHITLp3HerGv/9hLx596RCz/4J7y3W4kDKThPJin3LO0j3Oo7pnmuo9TH+rXi35iJK/3rznPF7acPzC5RvoGPjy279hN9Adm5tTzbtAZVuews3t18wx7Bey43MWf5GOm2KwDPwJiPrBrBSEEEPJpsdfOaS7j4ZenlV3dNMzHh+6I2E8+NTrrMIIYzya6DcJISAfv8RutDtZDz4AdJ4A2fpq7s9yDHwSHoL8m7+H/Ju/Bxnge3UKJYmaDdHJel49PM9y54jGwF8TSmFSkip4pXNe/+wGXHvJdJ29CnR4zcI5Dbkwj0LGIo1NFLjL8rwQnb5BffWlShE4PWgYEsGbVNKG7bL5Tbj2kulYv2oqlvtL9+wIgqBbQTiL+tnvGYjm4u1Png1qlopnT63FX31xlaa66Ug4ycpyqn40l9MGOz3hJEBrKv931nOv1oFWs/NQeZMyekK5dkkrLlmaV8V4d4vWEybJMl55/wQef/VwQRWaqOp537CtIxdikmUsQxEIIbqrVHdeY1y92OyY8NJ7x4tu10g4qbsaRQoYsmKRK4ULZtYzf7/03nH0DUZzlbbVZA38fUd78fDTe/HMW0dHRa5Vj6lUiB1NcpTDCQ2hPPj73Mt0D+PVVqEr2NKFz+KJNNrPs0b16czK0Fh+31nIiE5+TCwMEqccMow0tA3ind9mjy9k4Ks8+A/etRgLZtYbOuBaGqqYv++4eg6Wzh8dqW3LwJ8AqAeZUjz4hQaqSCyFHz2+Gz95Yo9GLi37fjOJe8qx+df0w2+zCbmkSXoGnGY8+JRRoXP3Fhx041rPniAI3BOSE8pydt9gVDfu0EmMP/eBQB+eemkfDiebgUgQ8oYnucfRE4hEMo19R3uZQhiMSqbBuFiVMdZ43ergUwfgVHle/DEJ1w3nry1zzv2dB1bDYRcxe1qt/oXBJubRg3cxkzBJR3KM9zZ1CMhoUMiryTNS6AHc5bRh9eJWXLp8ctkx6JOaqgz313iduGyFvq4+XUodAObPrIfNJnLvJ1EnbwIoXHdhYDiOzt4wNmwzDtk7U0CppRC0g6DW50KtSmVL3e59bb04eTaI/qEY3jRQoQG0YVbJlKQJf9RTjRoNnlbV4Mhy4+UzMXd6neF7zVZ6TqVl7D7cXdTEZeehbk3dh0KqWlkEUcAdVxtPTmgcdpEpcAcAT7ymrwiVzhhgW/d3IpGU0Nkbxp4j2vFrtNBbQRhtQQA9SDoFhPIGvtH0irfK6KaU2Ohk6o4u/ec4GtP20SQ0CHLuWFkT5K6+MDZsO4NT54Lanf36eSCI0M8w9TsIIoQFayGsupHabWzg079vrdeJ5gbj/lkQgJULW3KrpssXKA4fV5H5VWaxDPxyGQdqbGqvTrFekZ2HuvCr5/Zjl0Hc3IdU4u7GHR0cdQzzHRY9KNPe+dbG/BIZ48GnZsk8L26hkuUkMgxCdWqIqgw2d8bLwgubyCz1PWkgK+gg+p79VFrGpp1n0Sv78J73egyJtcB5vgILbeBv3nMe72/vwDNvHcWh40oiWyEVnSxVGW/dfm9pKzkO1T29alFLzkOnlik1gm4iE0ZlolMfGuGEbjCfX/l39lTjCUcl6Ncp3Z6F93HoZ9JZwcTSGq9aJlZV8MxlNyycdfQ0G2a0IFOALJXQ3sNGOeeSTHDarf+5BFHAK++f0N2fJRxNlaWswzgIRBGzVMvf6hUEurhXofAgM+0aq1CLSCzFDQVzOW1YvqC5YB+onvhk4SXkbz/YVVSV2rZTA0wOGAAMZJ6ZQt+PJMmYO6PO9LVsNhELZzeaPj6dlnEg0MeEcvEKZ2XJqvA8+doR3WT/YuDVwwD49xYJ9kHe9Q7IUHkSuIYMdOaVY+paQXTuG70JI61aRjsxjLr0YIh9zkg4CPmRH0B+7l9Adr5prt0qCCF4bdNJ7A/04eUNJxBUjxeUBLYGujOjX2e/C5Hq14rw4Nsop6Te4+itcsJX7cT9tyzAdeum48o1U5VLjpJAi2XgTwDUiWbFTIplmeCj3ecRjafx4e5zIIRgJJxAR9cI0zl3dLFG8SbVUjXPIKty2/HpmxZothNCsP9oL975uJ1RF6CNFfo1E4PPCdEB9D3EpOMo5N/+A+Tf/j3IuYxhrZbGas14hHhLAqkEkp3tht8pMfCDqNU8Hq//IlCVN0Loz5lOyznjl05U+9OWdvQNRk0XdnE4bHDYRfQ4bXi73ln4DQasie3FtSvyy4eCIGANFQv+qRvn49p1/LAdkbXwc9BfpV5Zbp7MIfsbKCdcUUbIixkIIQUNwbQkYyAYw/vbO3Cmcxhb9p1nYrXdFcyJUYdazJ5WiyWU1Oa8GXWwiSLjaaM51p6f6C6d3wSnwwbS2wF15MfyBc3M76f2xMoyAREEXS9+MJwwLVWZjckvBaY/EAXNBOjw8bxiEM+oolc0jp8Zwgc7z+Z+OyOvZJaxcuB36eQTrFzYwt2uZu2SSVxjnpdXE09ImhC5S5ZOwqypNfjqvUtx5zVz4NJ5brNk9e8LefAJKS6Poc7ngsMuornBXCGztCTjvW1sqJbR5OVcTwhtpwbQOxjFs28FdI/TIxpPMd+dWQOfEAL5lZ+CfPgc5Fd+NnqhX7T3urYJhBrzPJk+wyYKmkTtLHQoFr0KYVST4fl3jjH1TeQn/in3mmx+sWCTyfnjkA98AJLM98NpSWZWi3tVThiiduIxO6nfhAnRyXw2WxEGvioCIYvehNuZKR44tcWHVYtacyFPRjlZvBwps1yYbMyJygVQyZRkGc++zS7dFrNsrNYsHg4n8fgrh5GWZFy5eirWLVO8ger4c3UIRaeqAt73vrwGAP9Gj8bT2MDR0aVvcno2zHrwdQx8CLlYaOVfZZ/82sNAWhmwyfFdEKYt0IzK4tWfzZyEP9AMPv8wUPe53N8z7UMYSDgQtnkz1zMw8DkhJGFPM7J+Z7tdhETHMiYlbrysehm60ITf47YjFU5i0FH8HL7dpbznW4O/hYskgcidgCu/9HjNJdOxenEr0mkZ9bVuJHUGMUF3Apb//h12MTfYrVrUkgv/Otsdyt17/HNn388aGoSQgt7MYghFkrqDdJYX/pRfkdl3VLv8X8mcGPVS7h3XzMlNDEVRwOI5inezyu0oqCqUHTiUiW8ds2/9qils3oTKKMr+ebjKhhUR7T3+YREa8aFIEi2NxkvbetDGWvbzNNV7cqsuH+w6h5WLWhCNpfHICwe4126s82A4lMgp0wyHE7j7unnMJFuPsfLg87z3Myb7sH7VVFPvb6r34M8+tQyCIODZt4+iqy+CmVNq0FjHN5TpcESP246r1uQNvoZaNyRZ8XTrkR0vzIZfX7l6KjbvMQiryNCauU/MrorFOWGV6uRQGjqnJy3JRfUnOw91Y/Oec6hyO/DluxfD43bo3h+aPiUVV7zrADDYpXigvfWa95ULocJTBbcXZDj/2W66ZBJ6QzJmTKpBnU6uD93fptJKEbIRE0pSZ7pCeRWwmPnkd9J7BvKz/wKAgLQfgu3uv1SurYoYUCucIWZg4Ms6Bn52HKc9+JwiYImkhED7ICY3VbMefEqkQ28CrBeiyfPgtzZW4bar5mD3u9U41859W0EsA3+cEY2nUOXWl65Sc/TUoGYgL2b2r/ay7TzYlfM4b95zHuuWTdYkmwHKwEh3fvQqwqXLJzOd4qypNZoEHB70TNVJGaZ0G1kVHdXrzD7m4yfyy7HkwAfAdV/UePCF5szgpS6CkWHYxoaB1JMQbh5+H480fFU5r4GBr1YRAYAzzplYnmsUuy8cTZoyCAsNOiMm8yF47PY54JGj+dyCcBBoYI1tX3V+ZYBX6RBgRIl0k2zpe7WW8r5290c0gysTopS7hqLQQ6jfvpKrnQOU995X7YTTIeaUVS4Ek5vzYWzL5jfBJoqwOUXceuVs5ji9lRGa7HdLzhzGnOQUnHIq57h0+WR43A7GO8Xz4GdOAs+cfsRO5VcRdnntSBdh9xpJXRaCHmCzDoKaaicTVvXw0/t0jbps30LLtWYTqn3VzoIyi6MRg08SUcDphkA5HEZU7RBFAfffrK18bETWaXL/zQvQ3R/BpCYvbKKAao9D48ChcyN4HsSaauOVwWy/Z3YsWr24VdfAv2rNNDTVezBjki93z86bUYfzvYUNRV7YqZGyjnoCHYlpi2/p8VEm0TcSS+Hg8X6sWzYZss4MZ+u+Tkxurs4bfGqP81DvqBj4oBNMPdWMB7/GY8e8ucYronTdkdc2nYQoCqY8zLI6FMbkfUEOb0FukDyxJ7dd7VTq6o0Ai6gNw/mVO2H9p0D2b8wnFzPjP8egoAx8crYNwD3MtX757L6cY4GuDUB78Ke2etHaWKWpCTRHJ4dN7cG/78b5ufDTcsJ3rBCdsqlcB//Gh6fwy2f3F1Uljqd5X8yYo/bg85Ri1OXGAcVzRi8z0jH4tIFKiIwbWkfQUFX4JqW99i5H/hy9g1H88LFdSlgA0Q7oanQ/v5QGITI7S2ihErZ0pLVGRDau95LBDyAi/9llAwOfl5g7aKvLt1V1/2QNcx1RihzFPPJbfebn8QQxzE8ewZ2ht3PXkD9+0XCg1vMCMh589iK8l5hPKWQkkhL2HOlhYmfZJOP8Gen7oJjYYTWSJGPHwS7sONiVM27p0LOZU2pw25XmEwJHg4ZaDz5zix83XzEL1182Q/c4M/rsue9toBNXRz7GpFQPpqQ6cyFYompSRt8DtGfSacsr4UgA2g1i81s5nnram0niUch7N4B08BNK1dAGdtbQUBeZMfLYZicCJ88GNfvUFbe516+wB19u24b0L76H7sd/jHSKCmtQqXXcde1c9VtN47DbMH1SDRx2EaIocMMoaQeBjRNC4yyQFJjt9+jvZ83iVsZApLHbRO6+5gYP1i5pxeyptUw7Vi5sKdnwMVqRU+8bMhk+pu4fj54eBJElyIn8RHPJvHzuwPneMCtWoR570qOk3097z91exjklFAhHAaCJdZdlovnObruKdTYox1F/2Mw7MEmQn4+grlDcO5ifuJBYOC+kYXdCWHcb4KMmS3ohOrwY/PPHsefgebz+wUkMBGOQJJkZY+gQY9rpJQgCvnD7Inz9U8vwlXuWYMZkH2ZM9mHZAv4ESlTd+oUm0GaxDPxxQiiSRCCTAMdb5tdDrZUNlOfB5xlIehrKDz+9D0dPDeDU2SDTZgflfSd7N8D77i/w+bO/LtgWusPmZZW3dw6zKjpMCAjd2Rt8/vbD7ANOh+XoxO2lhXxbVsQOoiodZor6EEGAvPEPkNu2ad4bj2oTNCVQHgJVUzdu7wAZ6kF1Kqj/GYCiLPzTHjuqP7uEu2/7NFbGzY4Eboh8iClpqmPtOgV0tBle44qVU7RN1Pl96EkN/fntNoExAD/YdQ6/eHZfTheft5oKsB5GPY+ZGY6eHsTmPeexec95tJ1UnkXaOHS77My9bQajhNdiIFI6V0Nh+iQflma893qoB12ehr4oKBNwRIKolUP43MiL+MzIK7lnT71KRH//tOFmC/ejQXwebR4Bm+ocSOpMvL9231I8cOdiTc4GXYGYbHwKZOMfIL/wr5D3vKv7+XLt4Hjwiwn30UukPNY+qGu8z5qan/AXjjEvbgLw8ab9+Fn9n+NpXI1HX9iXez/dL9917dyCqjnF0FTvwYN3LWa20Vr1ds7vqV4hstkEJh/gTNcI3t58mpFlXbmwBX/9wGpmtYnWBFdPxL5w+0I8cMdi7mqlzSbib768hul3HHYRk5urC9br0FW2SUvYoaqlcd5kXQB1TH3/UAyxo3sZX5Ja4nbznvP5qtIJ1TihzhOrFLSCnMerSrItfM1ar7HIwoLqCBbObtDkRjHPiZ01Xg2fkV6+s5M3EfvTlnbFCfgxFdcvCMpKmF7iLM8WoI4dEuuwaU8XjrUP4bFXDhvmFU1qZB0LoqjUM2ms8+D+m/24/2a/Ro44C+3QBCwD/6Kko2sEj7xwAK+8f4JbBY5Grzx39tgDx/oQT6S5ZefVz8tAMIbT54e5A5b6hlV7nNVeczVvfnQaL6vUMpgJctt2AIBoovOgl7jcHANfyZbPDxiaEJ3sNenm1qo6mjd/rXqoKSN02dX57bNzQTSMQe4migdDpC5CIIDs3QDy1iMgHUcUCbCMpyQR1BZHkgjrGaXxVTtBuk5CLvBoCgUs/Nsp6bnr1k2Hb2Y9vFdoPb533LYQ9tZ8x+QS+HG18h//LfeZePB0sEUTvw9ReVB4E7uXNhxHR9cIs7pEf3qRLopWhkf1T1vaNa+ZGG9BMBX6QrN2SfHFqdSQoR5FdeKRH5hW2KCvu3JhC3fAEEVBCb9SF1+jBkCeVCYhhBmwxfAgbEIYe30u9Bh4drOD2+pFrbhydT52nF79I9QkmWx6RvdcWSTOit7sqbWmE9N6B6OaHCZAWU3lxW8Dqu/EoFsjx3ZB/tE3IP3wz0AGC+v9DwRj2Fm1Jvd3KCnk5SY5uQaVpLmhikmep+F68FXPu9Nu0xh1R06yeRjZ3ydrAM6ZVosbL5sJPepr3IbJh4AycV0yrwlL5jbioc+uwBduX4Sl85vQoBM2COiv6Oxt62USNwFo/taDpyL31LYQ04/z4tqzRqkmPHS0kmxj1ITWXc148EUT11xRIKnbNtIDQRBww2UzmfuBsT1sKodhJ19tixCikrTMk+LUETh0vB8HnntaCcXNkg0tZSTBCP919rmmVk9OqgqB/fp5bR5PFrOJ3zx8qv6Z57gtBSsGv1wKPBOEEPQNxtBY784l44UiSZw+P4w50+pyx6k7kmRahofTsSaSEp556yhSaTlXJpx3zSznekJ44Z1jkAnBmsWtuIYqVNQ3GNUUg1EncyVTUvHL0HSfHB7MbCp8Dtp40lvKpTEVoiOqHpRElJ85DyUWX7j1G8BQF4TVN4FsfhGJg1uREvKPSXaiwnjwqU5cfuHflBc2O/ru/s/YeFTrwU8TrdGU5XxvGOnmCGTBeBmz0Oq0f1Y93M75cDhETG1Rioc5Z9UBW1iPiCACNTfMRfC1o7DJw6iKHdQ9J/noBQg3f5W7j1cUhbf6CQByzxnIh9ohLFmvOYa3WjQ4HGcSWZVj+YpL5YRMiILAGIzq84mioDFsjGhpqOJ+L8UiP/qP+debnobtvr8p+J41iydhaDgOmQBXrJqCE2eCmmMEEKDvrPbNspQbhAURyEajyYTABlUtCgEQMuEFk1Ld6HZMgh70JJBR4yiQxGyETDlCsg4CQRBw13Vz8fKGwjKd8YTELLNnIURfRtOoAFju/f3nIb/+i/xxj/1X2L73iFLNesebQCoBYd0dEJx5o09dowBQNMSrVPkQhYzeUtFbneKtiKgNEFHkT87Vx2T/vYFj2IuioHneCuF02HDL+lm61+Kh58Hn5QCYLW4YOK115IRsbNVddYEjQLnPuvsjmJQVggAgQYRzFIpDDQ7HcCpUh/liNbxyBILHCxn5e1wwsWowfZIPN14+U9f2sHvyn5Huo7OOQkEQNLNi0n4YwtT52pPFVatr1Fiu58hpC9eALt0lrLk52xjqgvT1tR58oXl6bnT/uPpy7nV4NNeXJhQAKCtZ2Zj9QsUki8Hy4FcSjtX1py3tePL1I/jJE3uY7bQnWpaJRspLHWOW5fiJroIDIn3vB04P5gYhuuQ3AM01eSRSUtFeUf8sqvRypvwzz8BXy6NlNbkBpXO4eg1fqiuLaCZER+bILQ5T6hiqTuijyDQ8OeBHW2cSnckq/KLxG9jrWZm/JtEa+NwYfCmNVz/if7+MB5+z/1APKejBLxSiIwgCZk2tzRn3AOCY4oPgsasPhHNqDZofugR1zfsgCMp9J1x2t+ac5NBHuter4cQr0zrJjA5+RxvInx4FTu3XqCKZVZxhPfiVicHnoTY4zEw8s5SqDEND1HGxp/UnYDQupw13XDMXd107F26nnRszLYYGQIY4tS8oj74oaCdPtO1B21E3RjbptmfJvCbmGaXVJPQKyJmJQ6N/b7qtlaw9QDNzco2hfGhu+2sPsxuIDCJLykrfxy+B7HhT8zydOjukOU82AblYw7cU9KrRrluqnbSp++5ILFVwMluo2eq8gnKS5Y1qVxQzoTRr4OtV0qXRy+no6BoBwkEk4cCLNXfjVw1fR1uv0sZj7YPYtKPDlFKNEZIk4/l3juHD5Dy85rtVGXfcXnYFm5irR7FcJ44cAM7K+TwD+j7dtPMsfv/yIUXtRt2nJdjohRxq770s5VcRdX9C9nkUFqzNNEYvRIfjhZqjrN6/V32t3kU01PpcuqHMZhBFAV+8YxG+/bkV3HDKUrE8+KOMugBIlkgshYFgDA21bhw7o+3Y9Toh25HNAOZpttNKCLTRpDZIDhzryz2gvGqhaoaG40V5Rb967xLWk+NUlq14ffX8mfXo6gvn4jTVM+DVi1sNO05TITocmSuyfyP1xvz309UXzk2CNmw7AwfheJkyM3465Ihw5DVf9N2JMOEvE9P5crzwp039DXBRnpV502tw4iybhKVOjjaDkDHmEycG6Y0gsgyy9z3gbD5UQZi7EmTPn4CkOcUYXgGsGZPz8bXM75OVMH33MRDvg/ljADTpJOxqP0z+JT2Q9A/GQAjw/vYzcDlsuHLNtIJxowAwHEpwJwdqw0odD/zg3YtxrjuEVFrGwtkNiCXSeObNoxBFoTIa/XHt4CfvfgfimluKOo2L450V2raCRHdpD6YGQJfTluuLhsNJnOzoZTygtNHWKA3hS8Fn8GTd5wEodTBuXj8LfYMxzXdBa7LrJgS79MMsck2lQ1coo1PPG/2ZWxbA6bDhqdeNc0rULJqjOC3Wr5qKjyhPr27fqAqlGhJrYdv1EWo2K2FHIbEah7efQOB0K2w2EddcMh1HTmnHgWyyK/s5R8fAt9v4kyI9yUSaqS1e2Au0q1Bi7tzpdbCJAiSZoMptL0ofvxiMkq7VDARjCIYShgX+zIyPApEhCAK+8ell+M0f2Un6UHcvDpw4gvcbv5HbtruTYHokiTc+PAVCgD2ZhNxLlk7ClaunFi0FHIokc/ZBr70FQ2IdmjxsiI5QRFjQ6kUtuTbRNDvzz7J6Qjc0ksCmHWdxm9rAT+mMMbzwHCIDgk13Yi0JNqQhwp5dac8a9vQYXSDJVhBExO7/zzi80Vjqd96MOvQORjG52VvQGWkGQRDgKUJB0QyWgV9BItEkCneFCjsPdWPnoW4sW9CECCfO77FXDuOe6+dpkqkcXceAGq2Bv3JhMz7eq+joMves6rj3tp4xnIGrefG942iqN2d0rV81BQ21qmMNMvPXLZuEVFrGvqO9WDCzXrPEK4oCHrxrsW4pcj0VBdbA5xjC9MNOnSNKKbak0jJSHC+6LReio7omtW2HZzXOOvWX2Yxi8LMkxPyddPO6Kbjpijn4xbP7ctsKaZzrIaqK3QjpMOQf/0B7oM0G8bY/h/zKz0ydVy0lpwz4dGU/etUi8zqV0MTgt6oUUPQQGG9t/jpb93eil8pnSUsE91yvfV7UbNnXyd3OU2lZs7gVu4/0YN6MOjTXVzET0xqvC9/+/EpIMqmM/j3Hu0U+eA4o0sDXPJcARFnHO0lNij1uey588Pm3A5rKsKLKY9YoDeHqyMc4O/0qXHHFfLQ2VjOhiPn25O9vTRXKHPpGTCiSxMd7z6OP8tTS94FeDPbUFl9JnuHLV0zJGboi40wobBQdd87Bm96bgTYBtzvnYH7yFDZUX4szzhlAxoB/8b3j3PeePj+MpfObGFnA0ap6WVVkQbZvfmY5fv/yIQiCgGvXTTc0Om+7arZhUniWz9++EEdODsA/u6GsehZqXf0l8xpzzjaJDhfJoNFRz5BKy/jdiwdx57VzsWBmPU50DOHDXecwb0Ydrl47PXdMIbLPSY3Xhe99eQ027zmPnRkJz7buNNq81zLH90UFPPX6Ec34sPNQN6LxNG6+YiYkmaB3IIrWxipungQNPbYBwKC9Hk1uL7P6bCZEhyRigCjispVT4HE7UP3h4/io+grERKV/uaI2nxPIW2k6dmYIl6MadZQDi3CcSCQRg/zRC9oGSGlAtOk+d732Fjzc+BBWxA7i2ujm/A763mOTwPKvqfth5znj72Lp/KaCydzjAStEp4K8u/UMoyZjZmZ/8Fi/rqeCV+rdTviD8uypdbnX9M3Pew5iRepO08udC+c06A4wa5dw4m8N5L4a6zyY1FSNW6+cjTk6qhDNDVW6VTn1CimxITocQ5gx8CnFH92W5hGpTpDuEKNCFSKC0skddGkVaz41/GrudZoo1zSrsGEjMjxuO1MboFQclG6vo9EGbH6Wf6Bo0yQoq9UPmMNFgdFo18j40TH42R8rlWS+c1HgqycVgpZF7FUlq588G0QyOABybBdIUn/Zvo1TmCkcTXJDI665ZDoe+uwKXalCp8NWueJWesvXReKrdmKqxIbjqI3zHNQzQ38OtXEPAGJK+52uih/AvUtsaG3Un6zRahKxRJr/LHD6mf6hGI6eHsQ7H5/WJHF6qUQ1h92GT9+kjevNrsLQ96p6f6HtdP/39uZ2bN3fiVPngtz3AcBe9/LcZ/m46lJ02VsV494Enb1hnD43zPTBhYy5UpnE+U6MQtK8VU78xedX4VufXZH7rdU63yv8zfjy3UuwaE4j7xQaWhurcd26GZjS7C18sAHqsei6dTOYlQ+1Fz8ayxvAPIfW8UwF6Fc3nkQwlMCuwz05YQx1TP+N4Y2a9wvUiq8gCIx+uh5qozzL4RP9+NHju/HTJ/fgmbeO4vUPtFVk1Umo6loTb/huRfeIBJg08EksDHJqP+Rffg/yr74PV88JXLp8MhYlj+FrQ0/i3pHX8a3B36LeTotg8J+lj1zrVI1lV/BI5wnID/8V0MsJcZW18qs89nuWISFQ4xWTZEvVaOAIbkRiKew9rl1NoxmNRPfRwDLwK8z72ztyg5VRQQ0avdhHHupBeWqLF9/+3Eo2iZFJEtc+CBu2d2CDifh7Hi6HDd99cDUuUcVlzpM6IPJi+CgDv14yfmj0+Nq9S3Hp8smaiRBTSInqJOQ01ZnxPPi0oUcb+CYM7lxojtvL/Ba/rX8Qj9Z/Cd32FkRF7QBhE/L3Au3Bp5nawu/0s9ec1urj7i8Gz5IWuMR2ONEB79BzIMd28w8UxFz+RP7NxoPSjZfNxOK5jbjzmjmoUsmBuan43AFbNkeDVWgSBIGrnsRtHvUVLp3fpH8ggDMvPAb59V+AvPu47jG8BLjAaVYqkTbsqj2OilbM1UUtn1cGd7pV1ZD1lK1kCfLHL0N+8xG4ROM+zCvrhPkV0NS22cRctUdClBUp0qPqk1Tf79BIHE+9fgRvfngKHV2sfCEvpGPmlFomYY3O8bn+Uq2BfeXqqdztAGvgC6rBfeu+Try84QSrhNY6K/cyJOaf22FbHZ6r/RT3GjwisRRe2sB697P3IUmnIB/YBDmws2g5Th61XpdmLCqU8CeKAjPhuGzFFNRUO+GrduJr9y3FDZfNNL0CXElEUcB3HliFz9++EH/z4Bo4HTbm+U1RY3NakhFoz4ctuhw2rFWNb/T+LNkkbNqD75NGsCRxFMvih9n2UIYkIQSe4cKqSmY5eTbItGHb/k787Km9+OFju/DHd48hlZa4Kj9Pv3kUEmUCChLf8Scf3Q75138L+eWfAlIKSMYhb/6jsrNxChxIY2bqrFL1nPqcepPlUyplGjoMlEhpyM/8f/ofNmvgU7d7rkKuiphAreIxHnwZ8uGPIf/iu2wYUMYW4EnnOlSO1dEKH6s0F0crLzKGM8uuZg38Nk4GfpbHXz3MTBrUCZ3337wAHrddt+Inb6Z7rH3IVBl2HlkPmFcV6uFIxYD2Q5CPbgeJDIOkUyChQSCVN/Avj+7IvS5GH9zjdmD9qqka/WzGwKImEoTWbOetINDKIToVVvUQQICWGRA/+wPGQCKCCEmw47hzLuokbeyg3ZWP4UxnfkP16uBkHQM/m/xktqKiIaFe1AgbUWvbALswAt11C9GmNfAdxrHszQ1VuPXK2VgwS9vhTqM8VnkDX/sdmFWdoZN2C3n9e1KK8U4COxTdd522q/lg1zkcPG685DzqVMCDT4a6Ib/xa7i6A8z2pMC/n8ieP4Fsfw3k6DYMdRvX5FgapyYNjJescN/noUJCYok0mxsDaG7N0+eHdZOo1TJzWVYsbMbCOQ1obazCpcvyfU5rYzXuvzlf4GnOtFqsWzYZ/sn80B7aY8ebDALAh7uofCHKiZCrCG2SLwSfh0/S11/PeqLJoY9A3nsC5I1fAmcDuscXw7c+txJXrZmKy1ZMxtfvW1pUOCegrKZ94/7l+PP7l2t038cah92GKc3e3HNLG8HZasWxRBo/fXJPLlwGUFbgrlg5RRPmpU64zRbBo1cDHERxKM1KspNVRnXt2E443y1cF6YY6IJ8dLjhmc4RvLzhBKPCRBMDVZwpzc+FIdvf0DrKsvr01XXsdh2HCM3klCqxn6o/Q47rOJyyZNrBOIa6+OFt8UvuzR9DO/KiIZB3fqdV6ckcE1OtnMxMnsGSOOscGa08mEpjGfhlwjMKR8IJhKNJPP2GyWqMBstN/UMx7Dvam+uQ6KQYL2I574m+znjh669eZKxty2urOgShmkQgv/rvIG/+WtHs/um3ID/yA6ZC39zkaVwe3Y41sb2aFQAz0AOr0yEy3ia6A01Elc6OdPBj9xnE4jz4adhg+9I/QWiaxlUGOl27FJIq6XZmsgNuV35CFJftmusJgqD7OwiZzpn2QBrpPBshv/uYuQNFEYLdAcxdVdJ11PiqnTkjKS56kBCcmm9PEATTRjR9vzsKKKb02CkjZbBbqZSqUqMxtXqjahsJ9kLevxFER6u5XEgqyUgtlor87uMgge2aiPaowDdUyf5N+dcJY/WOucnT+T+q8p5qM98nHf4hSTLgMs7fCRpUFdUz8G2iiNuvmoMH7lysmcTNmFyDL9y+EFetmYqbMvG0zmAnHhr8LS6jnBEA+9vrhZuMRDIF2WQZGFHChwiAiFicmpJPDsMn6xv42baQ95/KbZPff7Koa+jhsIu4ZOlkXLFyasHkWvnQR5Ae/UdTBcnGG5t2KE6ePSplOUAZv+02EXdfx4bgqWvVZA1pOhzGDsU4rJeCzLEJIe8cIW/8Ch5iTrzALOe69e+Xs90hc0IZai3+LANa+VC4Mve0OkGW8eDzT1etXvUb7ssV8cOJPdo30HBCdMQg3wkRn7Y0/wc9zh/Zwj93ZlBRhyIuSJ5EncyKXJjJJxkPXBytvMiIJdI4dLxfow7RVO9BtceBK1dPLXqJZ/Oec0o1S8qyqRfyHQ6vII36tR6XLtdWIdWjs0/RjFYX/JmRpLxXOsvzIgjWxfbgyui2ogsGAUqZ+5ULW9DS4ME9185mY/Cp4x477MJzbxxC6oUfFT5pkR78NKWJz1MdsFX5IFOFsRYkjuPe0BvwUN73GHGAEMIYuAL4HvqmdD/I0W2Q3/gVpgsDuHTZZLQ2VumGEhTkPN/boSGjPiBedX9+WxnazIIgoJZSohgRfayCg85Kwq1XzsbfPLhGE45N/13Igx+lDCz5w+eVSqkv/RhkIO/pMiOvSRt5RJYgv/BvIBuehPzWIwXfWwqkTWcgUh+XjIOMaAve5TjH9+7GxMKTxOkprYrVdetmYEayAzeGN6KaUCFEbmoFykTCnlpu8nC8Ea/4bsd5e8bTrsqZGNLRpQeUfJ5SmNzsxSVLJ+dyAuTtr8FNkliSYJ0z9O3nctoY73+ufdkJSG9HztMYFGuZhPlCOEgSbhJHjYGBb+s8pt2oY+SMJuRPvweGekA2PcNNlBxvLFuQD+VLSzIIIYznO0s2l6NGpb7FK3olSTLOUsa1PePBr5dVk35BABnszhmyxa7qfCn4DOpUkwaaUMT4fGqvNA9BZazLhzZDevb/8A/Oru4m1QW6CieDp9Q1XogMnNynvFSphgnXfRGopRxfmZBFphYHZNw58pbmOnT4EbO62H1ac6xyTEbdTTUW+BPH4ZHZvsjy4H+CicfTGlWOloYqfPnuJXjosyuwbtlkXLKM78HWi8MeCSdBjm5jjSK6SJOOskMhu6W1sYpZKi/E4rokSG+HxmM2Lc2Z5VcYQRBw3ZIafKHrUUx56b8yMbsRkQ0nOdcfR7uDNYLTvNud8bYXNvKk6XmvAM8olWQCScgbnFdHFCPNWVWVS5CWICJx7pTGgw8AXgd7zrtDb4JseRkksAPy67/EFasm44E7FzMSlDxIaFDxJGb/PrYT0g//rODny5G9t3T1R4uHlqscttWoJNp0ZGFFxauvNagoFR2HDfU1+XNfu246vvHpfLkTJifidL4Sobzl5dxrUqSBj6EeIGtUdxQnuWgGMtwH8t4TOg3J318kFlZWzH7z95CPbteeRzUpWx3bl3u9Kq58F8KCtRBu+gr3UutiWhnN5QuacF/8PY0RzORoFIjBB9jvMxxJYUOXD+3OmfiT9/p8+0P58MWggRZ4awVqDgDIyfpWyxFUyYqx4ZNGYAf7eSbpqD0Fg2HIf/ifub+TtuJW2uqlYQgAanRCdBrSg3C//mPt6qSJ77uSkLTK2I0Ex/T6pXDValbKcHA4znUOrF6k6JDbbSKmUInHdKXrLE++foRR66Hrl3hdrBEoP/5fQTLKMAKU31LNyhi/UmqtNKKJA6dRJ9GqGdRVqspD57GR6IhSq0TPIVSdSaaOqe5Tqr/R09VPcoo4yq//AqT/HEDd1+Ln/gHiqhuYUFH5D/+svgxEEMxNtWvPSffpZjzuHAN/TWwvbJA1372VZPsJJsJ52NQeJj0t3qvWTNNIYwIZaa93HmWNolQMJPNQ0olfbIiOseGSrUhIx5jdM6UfS+Zpl6GnV6fg3/UI5Kf+BxrlISye5kG1HMYdobdNlKQpHkJkTfvJlpeB8BCQiEJ+53eG7x+wNyAFOzZUX42fNH4bDzc+hP1qhZtiPfhT8oYmT4VkaCTOeIzFrGHgqWG8AJE//juktrxBlm3GDU19EIkEG0njG4OPwUcvZ470a/S11RApDel3/6gYfc/9S65Qkvz6Lwt/OJrsJEVPP7gEWA9+ja4H/7IVigfXW+XAvBl1ALQVbtXOoWsumY5qjwNzptVi2fxmRk84Inrxiu82/Kn6OtarQxkperrKNDb6XlENfFlDmhACMtCp8UQVA+k9A/m3/6B/AF3wZcebuTh98qY2rpcc/pj5+9LoLqyPbMUtoffQmu6F+MX/AvHOb0NcdjVQpw0R85AE/AnWY2yzifkleho6Z8OMB5/qs/Yf64WcuedGbDUIi9U4a5+CH714Cj98bBf2tvUY6peXsiLIJfNdCgDuG3kNa2N7cGfoHc39pieMED7NKp9J9fzVUaed32PWZvJ3eCE6U+Re3BF+BwIA+dWHNftJqjivcCmQoR5IT/1PyM/9C7sjFBz1a5eL22XH9En5MLIDx/oYiepLlk7CNz69DLMpJaBC6j8DQdZwnpXKxKZP86Paqw05I1Q40w2qwnC19iSWJLTOgqmp87BDQpWsn3CfVQHSG+9DIRMrLGcO5V/3F3DY2RxKn6c28OnnXtX3ZKFXwWnk9//Absj2Rx6qX5G0tX5Enb6GMfA5tWo0ZJPXVZW6AcCpMvDrSwyRHWssHfwyoQed7G3BWy5TewqWzmtiEnuy2G0iGuvcOMmpID/kaGSNonQS8s/+AuJ9fwOhOW94yjohOssXNOPAMTa5dtVC5SG6IfIB1sT2oVYegdiwGnNuvAXptIxjZ4YwZ1odrls3HdW//ov8G/dvxC3Lr4W8/4fahhbCVriYAxnqgfzijwG7HeL9fwch4zEg7XQndC7vlW78tuYcCcGFIy4/DrnzRv0m79XYXH05JNhwQ+QDLAEdg89vy5TmanRmioIt8+eNIMHpAgqsfNqynU+VDx4SRwiK532XZxU6dsYBm7ISku1IZqfP4c+G3oSTJDVeQwBAeBho0E9QJrveAYKZSUDnCZDATm2yrBmyHg9G9Ls8A7+mKt/daDz4lIF/+YopmDejHnU+Vy7HpEYnxjrLnGl1eOizdcw2pyAhSZTnrj2j3NAkDWB1xnNNJ2DTg0Gdz5UrvkbDhOi8p1LkScYAdzXIzjdBNr+ofKbb/hziossM2y0f/BDkyBaIa2+FMHelsu3jlwzfAwDo6wBaZoIc2MTdTVJJpYaBytPrRApr4/vyGxqolcSGydxQj7nJ0wi4lP4l57lWe4xbZ0NwefK/opkVEerWaj/PxrgO2Orxcs1dub837uB0iBTFKJEZQiXeNUmDaIpmJuGqlRA9BaVXDsTwLepvuXU2QC3mLooHcLnnLE74P40PD2tzN6amFXWVWmlEs+8zodcAKXPPJuPKc00nCoYGDPuGSiC/9GPuPSK/+u8QZi+FcMltEFpmjmobymH+zPpcSM1eVaGm1sYqTVjO4nmN2LC9w/T5c7H3Tjfmz6xHz4D+RH9KugfTUudwzqGsLFxWN4SmnkFcHt2OrVWXYpYrhEUjezEzojgTWtJ9uvKq2dUtvVj7ELX6tVQ6gUM2bW0Q4fwxEFmGIIpstXceJGPcqwfNzBhB0imI/R2Ad47mrVkPvnjnt9kcI1UoYXbMF9fdDpka94ksa0J0AGBxvA1H3Ity2+nEYlN5UplJwCAVCmhbfg2wdZvGgz/ZNf5D0gDLg182vBg+WlM3i9ojXl/rxvpVUzXH2e2Crob2/vrLGaMo60GWX/oxk0kejqbyqjvU8ze11ct4MK5eOy3nIRWgxA2KIMDx3ZCf/1fceuRn+OsrbLjn+nnQFPKLh0tfFq41ljUEoMQ1D/cCA50gm57J73CanzlHRQ82ea/WbE8LDhBBxHve63A0mW+Lnvfjxstn4crVU3HfDfOZMJO4VNhrmPPgV/kYD/5h92KEbFSlVxBlWfTodlSRGN+4B0CopXAy1AMyzMZek49fZP9+6xFlUC5Evao8NrcCYJkhOtRPN6zx4OcRBAEtDVWMV1atrpNMFr73PJJW7uyj6vUIZ5NLKWUIesC4bMUUrOIkPLt06jEAADm1H0SWQHbmY0HJW4+AGMRGk1gY5N3HgPPH2YJi4aDmWGHxFczf8ruZ8B2dxDhy8AONcQ8AqGGfPYF6noQZi9RHA1AM/CXxNsywD+P2qzMDNl0P4pavQbz/b4te7RF1ZPkA4MOq9QXfT2Ok124GEo9AevmnrMIWc4D28/CW6RNwICrkPbfp6rxi1MxkB26OvI+ahjqsmNeAyalueOQo1sb2wE5SqE8PYVFcMXLqVDHcqxe1aJet1HHvalWQ0UDvfk7GQAI7uSsL4wm90CqAfw857DZGfakQrkxsveBwY4W/GVWZFdjs76rm0yOv4atNAXzxjkVY5FMmA+tie/DdgV/gns4nsSB8OHdOtyox96+/tDr3ejiUQCiS1DfwY/n+0qvjKxFB8vdQIfUuIjN9XX5z5jkJ9qCeoyYHKOMvRBswfzV3PwAIV346/3qan31/LMYm2WbsoPXRbcxx7245gydfO4KegUhusqBHWKjCiXMh7DzUhbZT+dApMVNNWx2O6zy0yfB84wXLwC8TtXQWoI2Hu/7SGdyiLzwJMqVcMd/Al9Jski0jvaUKwcgWv6Bji4VEBPdfPwvf+/IafP8ra7F2ySR9Le9zAWWGvv11AID83L8yu0l/p9bAr1MZiTQ26jMZTAyILEM+soVJhCFnqVhfb53+NVQcdfkLHvNOeFb+Ojr2a32tC+uWTWaWbgGTYR3ZyrfeelTJ+rN+IRGD/MvvFTwfoiMg4SHIG5+G/Og/Qv7dP4D0tBd+nxFzV2m9/NwYfMojIksgpw+C9GmTMPWodeQN6qCtFoSa6Okl2erBK7qkpkriD1Jv+JQqsN2ozxXGogeMKrcd162bofEKV9FlxKeyOQHk7d8qOvsq3Xpy4AP9BqonZ5n7SVCdW/zOLyDeqsqf6DmtVJVUIb34YyVMiMovyDHND/HOvH9ZuPweZrfACdEBlAH0xsgm3Ofej7rsTJ+OtZ2zEoLLw+QGmDHwCWcik2XQzte2znK9j/WqusoM0SEfvwSc2q/aarx6pdZKz9Lm8ufyfWRH3ti3ZSftrbNgd7nw2ZGX8I2hx7E+uh0PDf4ODw4/A6dXyWPwyZFcPHatz4XLV07RTubU/WgFtPCNMKW1PzKgjc8fRxgZ+HpjYXOD+QRuR8YYJ6k4XE47Pjv8Em4PvYPrI/r9QJ3PqbSrQBiJi7C/v90mMgXbtu3v1O0X6V/O7tRbDSX5kBte/Y1mSqaaECbciN4OAIiGMDXNrw6eggPivX/NSFcOinXY5V6JoKg4vYR5KuM/ExLY7piBn73QxuQ9ZEN0qkgcK4R25m29g1G8/dFpCGvZyt/C9Q9AWLAWgKKM92ztp/Hah+34aDcbmmRzKH1+DaWi45bjEKJB7mcbb1gGfpnwvDi00V9NYliO07lYeRpehdZar0sTb5wlKbEymfRT61Jl5R8/MwRJYpeysOFJyL/+OyAWZo4lvGJQWXraQUYGgB5V5nmwlx1gJs+B7ev/m3sKwX8pxDupEBoDNRby/pMgb/+W3RgdgfTKzyBv/ENFC/9orq0zgOlJYtGylfNn1nOPEQDFeHa44DKQRjNt4AZ7ID/1P0H2vqf8TQjkt34DEo+CmNRMF67+DPv3lLnaKrXZzlfHg08OfAD5pR9DfuK/GXqpaeptSdgyKhPDtlr80n5v/nJFGvjJAgY+ISRfMVdFt2MSftL4bTybWIunXj+CEx1DYPOxtLrZgGL459rr0/7e5PBm7bb+84rBnUpAeu7/Qnr0H5VkMkAbv5o1jOz5iYRw1f0QHJnfhq4s7PGyMbNZ2g8CnSe4NQuEaX6gdRbEu/5SGeAuuY09oKbAytqZw/lnhDBfWOYCxjr4JBqC9PJPIb/xS5DIMJJhfaUYI0QiYVn7G7ghvAkuOYHlrUQTWqG59nA/5Hcehbx3A3//wQ9VWwTATeUZcPqGdUsnwT+7AfNn1jPjwObqy/Fizd0gAKS6/CTAlk06rK6F4PECs5Yq3sfpC2GfvQTiyhsg+C/JHX9N9GP89cAv8PUbp8DZp6P8QTPaibaqcUMPdd7HxUJCZ1WwkFwoTXM6U10549CqlUOYnzyluyILIJ+cXmBSvCBxElUu5Rlbv0rJ7WiicvsOHu/HO5vbC7ZRtNmwjiPyIRYy8GkvuN4Ynv0M8TAEQJO/AyghOiTjTBDW3oo0bHix9i58XH05XvPdpowEKsnceFLCHvcKvFJzh+Z89NghNmujIgaG4xAaJkP83iMQ/+ph2L7/W4grrwcmKzKo5x2TEbbpFJkUBAjLroGLpHDXyFtYFD+Ke0de4zpXxiNWDH6ZuF12IM4+vLScliCnQd78PbDsGgg3fZk5Tu0xWLWoBaIowGPjPzwpWVCF6OSPs0NCtRxGRMzfqD9/Zh8zwxcgA4koyMcv5lQz5G2v8b19FDljkkZKMQUqICq3knDlp0EyVe7ET30PwixFdYaMUGXljUpi63k8T+4zNAEdJKWV3zJJWpJht2lTZpvqPbhm7TTuewAlVnwgGAchBJctn4z6Ghd2HNTmVQiLLgcEETFOhds85gxc0rZNuzQ/2AX50f8ITCu8YiHe+S0ICy6BtHcDkFEoEZasZ1dJQN2bnLALQmRKg5uA7Hxbc2/zsKdjEEG4Qx1PctQIejAmx3ZC3vgMhNnLINz0FaXtqQSmpLrRYzdYVYJit7226SSmNOefGz0tfiaR02w+QvtByD//awgrr8vFmMpv/xa2L/2TdkKWjAEOJ2uoUZNL8dPfh/y7/6j8EQvrJk7LL/xbLhktR+ssCGtvUb6b+av5SfE1xgmFAJQEd18D28bsPWKQr0HOBSA/93+V15n/paCNzzVDNhl3aaINSxJtEIYAcuNKpW6D3nve+Z3y/R8GyOQ5ECbNZg8QRIC5Mwm7IsExaBwOG+7IhCy9+eEpHKUKFnY5JiNx619AohIKsx58IWO8iPd9Fwj2AXUtuedNzqis5JoFAKFByB88q/vZjNpYUUxK7JKOI8CKa0e3LWVw17Vz8dqmk5rtMybzK4U313tw6bLJ2Bfo1Z0EZHFkkrJE9eTZiKyBXyBO3IE0vnZ1A0bcLbnqwNWqgpNnurS5G2psInDl6mnwuOz4gCrOJoDkJ3FJrQErLLkynwOn1/9lxQZiSqjPdZEP0W9rwojNi1S2sJ4gQKpugAhAuPQOnN9/KGe3DNobEBWr4FMl8X9YdQXa3Au5l8zaQcKqG2DzTQN6tUIUP3xsF+69YR7mTKvLb8xEAxjZDaIoQJi3CuTgB5iTasecrFpPiu/QG29YHvxRJms2koN8wzUbhy8IwNolyqzaufUF7rFnHNMNtcMfDD7D/J1Ky0xJdzGrvJHR/ybxaEHjHgAQGuJult/8Vf6PjCEirLoBwpWfhnDz14CZSzT7lTfqLCNmtHBL4a6RtzA51Y0rIttQLRa3RJwtdkJ78FcubMGX716CmVP0Y/ca6zz4yj1L8NV7l6K5oQor/PwQB3jrAUHAgoR2UMmi/i2Faz/PP1BPbzoWBgpUARSWXgVhgeIhFL/xfyF+5+cQ/+YRCFU1bAgV8ybKaMsaEO1sGXZTEmRQJA/rJf69ZMaDT1dPntqaH4zlzS8BkSDIoY/y30EiiktiBaoiZttFgPO9ee9kVr85m58CAA/cuUj7JrMkoko1yCzZKpDq5yD729KGGiW5itpm/d+JhhPbbnvgvzDx9jw0+2cuhnDFvfw20gM8b7WHTnALDUL+I1uTghzbqZHL05MINGxz9nKP/5NGEjR3LSIzCXzkmFb6UxPfDhSVU8CTW3zmqBPvfNye+zvnwXdk4noFEUJ9K+vo4YVpRIbNrVyWmQQvb/yDssKkKgIHACSVgPyaufh6wWccXnWhmT+zHvfdMJ/Zdt8N89kQPApBELB+9VT85RdW4fO3L8Q912kTVG0kjbtH8s94bgKpDjXhnd+j9GW0JKweTlGpup29Z6p12gwgV9tBTbZ/44UryVteUdqiijgQv/Cf2FXLwS7+ReW0Ukk+Y2O4SAoPDD+Lbw7+nslBS6QyRrmrCl2T1jKn2Fd/hWayrmfcA8rYIVzzOYjXfdGwANW2/WybhSbFeRfRKfgHZJw9M5cATSpHX3r0FasqQcUMfL/ff6Pf73/f7/cP+P3+Eb/fv9Hv999a5Dlu8/v97/j9/kG/35/0+/1n/H7/L/1+P9eN6vf7p/j9/l/5/f5Tfr8/5vf7j/n9/v/i9/uN12srSCF5SIHysvPCdNYubcW9N8zDl+9eAl+1EyQRg7d9J/dcsmBDipaYUg1KLpLCDVP1E61ybcl6DsN8Y0sNOcZvD1O+OuvBd7ggrrsd4tIr9Qcu3vI9IWyiYZFMT5/HZ0dewiXxvfjaZwt3qjTZeD7aZtNLTTDCV+1k1F5a0xlPgk8x8Gelzui8U2Xg1jRCXH1T8Q0oAD1pEAQBgsOVr6Ug6sQwc+oEyBufZo8pkMCUo+sULo1yjCuYM/A/deMCTGnxYsm8Jvip8KicahAAciaTWBqPwkMSmoqkZsh68K9aMw1L5jXh5itmaXJo9IxJs0gv/BtT5RmgnjPC9+ALgsAWkzKJsPL6wgdloYrKCEuuhHjZXez+rBRjoRAdKvyIHNrMnXSoPWfXRMsI7Qj2AGcOazaT/nOQf/Tn7La2rdr3qw2D1tmq/BPj+7OeE8YxrFJiysXgG3UuHAOFDPUAcuFCReWE6JCuUyB7NwBDPdykfFLAecBgZhJKnzud4o6No8msqTVoqlXMhNWLWzX5VXpMafZiLjXxz/LNwd9jdkYiU7j2C7nt4m3fgHD7NyE++N/yYZDqCVDWg6/jSGNQ/cYunXBeQCnGxKvwXO9UnmGHKm9FAICB85D++CMg248CEO/5DoTJc9jnWy+h+8wRyC/8P5B9+VA4AcjIfOZXLOkw5p1RNlxoF+aby/fI4CDpXA6ZaFCAqrufbbPQOAXCLV9HZMpSnXdkQnREEeID/wXiPd/J7xgDSdpKUBED3+/3fxXAuwCuALAdwFYA6wG85ff7v2nyHP8A4E0ANwIIZF4DwEMA9vj9/oWq46dlrvVNAEEAbwDwAfgfAN72+/2lxWuUgcBZ2hdVcctqbKKIOdPq8jr5g12wQ0ZLmh/XHBLznkuRTnrJsEzQl/TKGVFZD/4APwmmJAp5cZnlbu1ARLaYkAZUIdz+Ta7B43A48MU7WI/r+lVK9eAqIYnmNF8CjNG/Lbo1CtdfpsiYiUTCjeFNyrm8dUAqAREEDw3ytfsFuj+TKhBL62uAcOmduT/FT3/f0IMrtM7S2cHx4Kt/P485o5MkopiW4usrmzHwm+o9+PxtC3HL+ln6yeGZaowko4ZyaWw3vuV431T7smQ9XPU1btyyfhaWzufEppfpLUXHEcXwpU/Ztg1ElpUE9lxjVBMvk981QybW1AziXd9WvFVzV0KYv0bZOJXydsYzKx1MpRntJJEpB68zedQsjbv4IWz3Db9qqu28fkV+6n9qj4sMaxNBVTkL4l3fYvu0Ar83r3aJGgdJKQpiU7Ue4BwcDz7pPQN4+OEjDGVMOnljAeluh/yn34OcOcw6cxgEiA/9kM3rKWKiQUJDkH/zHyD/8nsgXaeKbHXpkL3v4fPtD+NLyTdx9bLiVxyyMfAAcEl0N5z/P3tfHSbHdWV/XjV3DzNoRjMjaDGzbMssM8UYtGMHN8kmDmw2sIFN8gsnG6bdOJwYYmaSJduy0GKpNRrBaJhnepq76v3+qK7u96peNc0I7Oh8nz5NV1VXVVc9uO/ec8+F2p6kD/0Q0pJLk/uIzQFp1kqQygZI7/kKpGs+DOnW/0ByhrHak8mrZDGzEDdRtNK3w3TJ5dGYLJTsrnckDHwz5akT+3iKTlJRbWLVbjxMTRfNwA+EYlAEs200lvqdmWhRVfF+kDq1T2UqQDU4wkfCpLlr0VfQZHq85uwhFitQyfiZh7rVyOBZjgkb+F6vtw7ArwCMAljm8/mu8vl866Ea+GMA/sfr9RozH/hzzAHwTQDjAM7z+XyrfT7fDQCmA/gFgEoAv9d97RcApgD4ss/nW+Lz+W5OHP8CgAsBfGKivy1XiOQtWZ48erIYwBIyiBcFNqE5ehwrg9u4Kp9sESVSVgPU6SaLcAgrF4hlvTjVHUqFMnrk8rsg3fZ5o2yiBkHyHgBzD3Byf3q5RY7CkCVIWS3gFkx8hKCmwoOlc9TfsHRONVYuqMWHbl2Ae6oP49bRhw2VU6MxmTMxTQ3IDGiZUoL3Dv8Nd438BRVyIuRaUAaa8Hg4aQT3DP3BeMvM1UlCO52sMCYUZQvpHfdCWnsjpPd8DdJ7vgrC0qUEIIsvSXmWGpi1tOi95aHeQQOjwJGdsCPOFVXTwA7+E0HSEziQ4pY6yytw0YrGrKudWk2KEPEXmgTFEn2Y22KF8sD3gE4mMU2/cDapaSDd+ElI135UuI/k4FElVY2wvPdrsFz/8dT3rKk+r/zzR4mkfLYYTOIeWQO9gDGaLOKxQWHoRxJVIL3nq1iuU6ZxKSE0xju5SIxHMUn2tPHeSirHzQ1Tvc633oD2lGSMOrIoNugIG+FesEbti+nGStG76j9p9PqKMJEkW914RymF8vCPQfdtgvLQD82fY1mNKkGYwYFjBrr5UTWSFYtAeexn+dx5zlB2vQS64e+wKDGU+08AbG2VLLF0bg3mVsThjRzGkrCqvkQuuCWtHCMprQGZuRykuALkgpuB0mqQi98JkphTyfwLQOavA5m7FtK1/yY+ic7501hXKIweAUA4In4PJFFbxGrJ0vzT2qSJyg9Zennar5PL7gQAeFgPfjBl4IsQl1P9bWjUnJ7WGG3HlPU3gCTslVgsfT/9w6P7k8ppADAejOJEl3neAjf8WnV9/DQuSPPFZHjwPwbAAeBHPp8v2VN8Pt82AN8B4ITqZU+H9yTu5Yc+ny8ZP/X5fDEAnwTQD2CV1+udCgBer9cL4BoAbQC+xRwfAHA31GwpJp5yCsHM8yIDn6deZNZ/16TjauJ9uM7/NFaFtqeq4wHY55yT/FuSJFhu/09uMKC+LZg9RWzIcBXfwgGBcoTKwyX1MyBd9zHhOcictUbFFfVm0v2snCcAve63+JySURefkKRxvm55A+593zKsW656SBx2KyQqwwoZ7xvhq+aN+iO8zTYBZ0WpMoIC1mAtKAGpTiX1eWgQS0K7uO+EJEaPfIoqk0hWXQtyxd2QbshxrVpUoS5+AJDKKSCCSI8exOaAdMvnQC67k1c8EkkF1uqSI7Mx8Bne86WBV7C2mW9DdbGeyfGIaNxI1gNVNRWLZ1fhXdfMQUtZ+hdbX1VgmDAppVCe/wPkX30KiqYQwhp89TyfN2/0n+SNeyArDz654m6Q5vkqV1RE4cmmimM66Axn5X8+JDw3J20XHk+pc2XR320OG0hRRbLeRHmxE1Xlbtw+quYjLQjvQ6k8DJcSwnVjRv1tAMYCemxivx6M8hNVlGRUEwCk6/5NXdxwRm8WhbuQvv26q2pA7OklF4VSpWOD5gY2V4k7jXhBPAbl0BbQriPiA/QRjeAYT7NKJtXroM1pGRKSTe+rLzW3ITDKFzI8BaDxmPG3BM0NPDNYLRIusx7AFeMvwpmQrySLLsn6+9KyK2C561uQ5p2f3EZsDkiXvRfS+veDOFziOZDyfckiSXjPdXNS8rU66Hn4i0J7ku/K7UrZK7Z0Kj+agS+a48vrQJoXmH8XAPEuA1l2BTzUSNEJhcUG/tObjialiweGjQb+eYHN+Pjgr3DT8hJI3hSHX9bNRdesMybyP70ppUj1/GZz2iwAyDIrVajru9kUzzrDmAwDX+PZPyLYp23LlFIeBbAHgMHiTBj52hvR4mLroVoej/t8PkV3fDuAnQCmJiIDpw0ieUtu0M9CZoxuf8awrdikYESSEuTivXrOh78rPJ7ViVH++WPxDWge+uJKsWEQDYHMWmncnkmiMU3Cmj5cTi64FWjM4tVJ1qQ+rvA6IiTCbMWKH7VKSoc8EpN1Jarzt/Clmxg9+6lzQKw2kJJKkEvfAzJzOaT3fBW2Mn4ijxMbUFwBMnctkBgwidUGac4aoHm++Drv+2+gJj8lEhFISSWk+eerEn7Ji2Thwc/GY6crILS4mW+zVfH+yVEB0biRbDIy00aunm1DU1Q8qK9dXI9b1nsN754e3qYuhoNjqUgT04alFVcnNZWTcBfBcu//ihfDuUDXnonO0yxd+29qG4G6OJdu+azhFGxxtLyQTtecbR9sdGG0H8qv71VpFyaUM7uS4l1riypCCJqnFON9N8zDu6+Zg+KlaqE6F43gPSN/xz3Df0CVPCA8nwExc1larlKnIqfep8WaWqjk4MEHgJXKwbT7zQoYctAn82n3Z2ZMeEqY49IY+NueAn3qN1D+/v+gJFTOOIzzCZ5086OZ7xVIKgLxIgo59GOd0aSwRQ1PBUS01DwMNUopaFuqboJ006fSqjjlA3L+zSArdTkwgmdrtUi4dKVY7e3qdS2wWSVYCcVtow/hguBryXdlkSTcut6LBTMrcfP8LKJKojmxqDxt4Uqy7AoQuwvSBbegYO1Vye2tJ9R8AzMPfnu3HzsPqrlVrMddg5XGYL31s6rcJYPZzalIV31VAWY2lXHFKQGVpnPo2BAopTjWkf7djzIVgPWR0GySos80JmTge71eAmAOAAWAaHQ7nNg3N3GsED6f7ys+n2+hz+cziBR7vV5P4hoAoMXdNb6B2XJf0/wTW0anCCIlBVb+j+7bBPmHd0P+0QfESgWUCr1ONSZ8/OQD1Rm59nGz45nVqF7XXkNikiZWG1BiLMSF0mpej1tDmqI1ANKr6OgWPtKy9aYVOvXnJOV1/LYMhjmZtUqVk6yfAUdtyrMdjcp8km3mq5tfo2keyKXvVUOtl6bkI6UFF6oylZUNcFiMHkHL3d9RvTe630DMQqPldSCzVhi2Szqd+wlBVOjqhI5ik43nXUcxsDkdaKpXi5oUyOOYHj06OQZ+ggpFGQOfzT2wWiVc438GV/qfw03O3biiXvXeeSxxLJpVaZDIpNEQ6JOMWpSW0Mv+ZkkyUjw0r+BE1RZ0HnzSxFOtiK4aJKk0TvSZ6FkZkabiLGcEO3WL7XAAyuO/MF0AXjX+HAAKiRBccV6z8Biy6KLU3+CdFAYYVInSjCFs7QaRIhCQEwcfABYrrZCo+WK3QJDwaIBJsTGYFbNjDfw09Uzo5lQeA936lMHbT/v4BXjaAm0sNIcQq/aUTUKwBr1RbKbOMlkQeOvptqdBh43yxmnhH0rlo0gWYOrk+xKJpxjS2huAloWpjSZ9qX5gD5wK7+m+qOAkplQX4uPvWoKPzehGTbxPndeYdzWlphCXrp6K2iXLQJhoAoc0FB3iLgIprgSmihNVCfNcCotSDoD+4RD6BoPYdUicDwcAG7d3YHgsjH6dgS+BYvqllxsq3AKqwtBdN87Du6+dg9uuVKmm5SVGCtNTG4/i1Z2dGWmbVfoCpUy0lp7qxegkYKIe/FKo9JxBn89nmMl8Pl8cwAAAN9QE2HzwHwAKAGzz+XzaKKSRzM1GA217ehHsSUFqwiktNjYkYdiWKlAe/h/Oc027j5pKadbGxYNP0hAs5XmrZsapWSSAg6co9bfeaHEXgXhXgExbZPxeJo6ormASlyUfZgz88kS6RjZFmyQJMBj46Zs08RTDcuvnYLnt83C4Uu/L6MHPfPm0t7ZgnWqsixZDALzF4WTRJwA4b0naNBUjtIlVH8EAgOmLcztXOujf27G9RqM1G8Nc78mmMq6+oAWXB1/BzWOPqPrRk0HR0TyzrAefpXFJFligYGa0DQ3oh3fPX3DP0H24s+//YFeMxrhIPYR2HAbaGX8GIWmNq4mA6MPi0xarZdyb5/ORIvY7jLQlmb8uyU/NF9LKNLkgrMqPZFElYVmMD3NGCWFUeaZW2HH3TQvwgVsWoEwwdgLITXJR3w5ZJ8HUeSCX3ynex8mSmih/sY4aSkHbDyUTuTXYaBQ3j5l7vgvdmQ18Ikkg624zTTg2oCDF+abP/T77KrKM15p2tQHHcpcoBZAahyy5U3RoPAaIHF2nsoiQSVSH7ngup9NwDrrKRlMnzKQgm0jSwddRLvMe5aaTG1I5SaKkeB2ky+9Uc7EMO7QkW8H33Gr7k5YKVN/K67h8Lr2iz5+fOGBQttHjQNsgAqHU2LpyQS3uuGYOirzmyjelRU5UlaXmRa1mgB7b9vVwTj22kCEAeJvKMF2fPJ/JkZkFaNA/uQInaTDRQlfa8iadNab11gKoSbdZw+v1XgXgC1CjAJ/L4brsNTNd404Ad2Z5S4vS7ZQIsGJ+DVfsyFwdhKpegNJqtQjMA983Gjgl1cBIL4pMksqStYisNpD17wd9NqXQcjHZg5coz43z0CwGTleR6S7pA98zTdjT9NXNQAhRBwjtN1Il5UlgK3pq9JBsPPjEAuL08E84S012ALAzEZfxYHRSkmyzRcH8lbhl/y/Ra63C1Go3yuYvS3s8WXEV6NanUhsSz4eU1fK/3+5Kn8SXIwx0FZ9AdjIbw1x/TFkdHFYrZstHAUWgrZ4LHO7UglCOq5xqRvccLO+ZbR+JaFmyX/gHjV5ogXSdcv93+A1EymlFSBasy95DqvfgEwKy4ioAV4mPByCtuha0ZQFgc07YuAcANMwGmXe+WmdAD/3CpqTKKL/LLtZtTkif+i0w0AmU16E4i7YqXftRNRIggrso5ZXVtx/WmLM7zPOARJKfgDh6BVVmU6u2Lb3na6moiaKgMt4PtxJEUHLDIhHUVxegvduPpvoiuJzZTbfS0stBl1wG5Uf3pD+wtBrEWcD3/w4f0MQbP7RXQEmLp96b8tAPsrovIUTe3WwjcQKRBwBQnvs9LCYJ4xMFbRfTqOieVwAm2poRDMWL1IqjT5MGLpJkEiFyuFE5MohOW8pRVKiMqxFNm0MnvZumzxUIFtTpKDqaQ1AQWZBu/gw3F5np8qfDvtYB7rLzZ1RkrFqtR22luRnIUoQuWTUVO/b3wGKRcO1F0+C0C3Iqz7uJj+jmCDrUDeVv3wIiQZBL3gPpFBeEm+iyU3ur2UhK5HQtr9d7NYCHAFgAfMHn823I47rZXLMJwLos/2UUy9XrZSvpbiFBTVE2PmCcnFoWcomCl4y/bPg6a3zpE3LmD7yGd1w2Ew7EUCSP4QNDehEiBpqHs3k+CJNQx1bjIwsvNFfjqG4GmXee+fmTJ2QGFjbJjaXoJAx8Mv/85IBiGjqUJGNSoVkhKAHKmGTKTTs6EY6kJr1TbN+DVDeh5oLLsaDRhdJ112Y+vqpRvEPPf5wMgy4NOPlDDboJnYq82awR1TQvxVfNxzDQQ8+NZBa6AHgPPns9HYdSKNOXjWeOSCCLLzXbyX+cvkSlbWWbO5GnZ5BUTZ0c4x7qOCNdfieIyADSv+thYxVJrrCUxaIWeKpsyHohmpTrFMHNOCR0RgZlKDrE5uDbCZsXYEbR4dom48FPGPcAoDz5q9T4pciwQsE1/mcwo74Al69twk2XzsT7rp+LGy7OLRGbEAJyyXvE+y6/E+TCO9QIjn4BLqKgnBQYtSyNZiIa9JoeOiuRmiVFhw6IJXMzFeybCLJeWGcCO2eJ8iYmEYR7tiZjZDSE+ZH9cCphuJUAbhx9TB15RMXz0jnBRIpX6ZJstT6nExqQbv+CQVEo0wK3qcRozgVCsWSyrXp7uY+HGhVUhGgsNQ4UFzpw+1Wzcct6r9C4BwDSsoj7rOx8XryAFoCO9EO570tJhwc98mZW35sIJurB1+Ir6eKJ2r7MGaYJeL3e9wP4NdT7+5rP59O5zDJeN5drHgeQba9fhHRGPiFoqud391mr1AGAke1LQhuMBatfUljODYBzI4fwYsFF/DFsNFlgkU6tK8KH61pB976SllMuvePT6h/VU/kdLQvVJB//IMiq6/h90xYBicqz0uXvy87jXVQOJLiOtPdEUumFHSy1BE9SVAHpxk+C9neoxj5g9CBKFlPZwGwwd3oFV6r7zYOpRcep9uADgLT4EkAUEhUebNJVdb+f6N/h6QAzeSiHtoA+/wdgihfSDZ9IPUfGiOLu0YQGMREYChnpKDqmEA3U2UQVJAmkol71Xo/w+S/StR/hvM/SutvUP0TUKhFOQzvMFqS0OrMnR8TXZ4vi5BtdcrjE1Vw9xamxVd9+2MW+zQkiWZL3zy1CszHwzdrBUDeUX30K0h1fSPaD2ngv6tfWJxOikzVOcgRZsA70xT8Zt5fVJnW/qZ4ux9I+KVX7nyiJNPH7aTR3OgxZdS3oG4+rfyfogOyzzXqhbmbgA1Be/AvIjKUgjeYVTHOB8tojoIcEBc405FqcK2ycs04ZWMPaLKcnMIoyeQT3DKsSzBaNGpzoA5SlYKUx8En9TGMfT+PBJ2UqRZY43JDu+CJo52EQ70q+6m0C6WQ5p9YVYd6MCrRvOsYZ9AAQYhxvmXTuRUhX3TYWZ8QSshhric2uRkQSi2K64e+gdhek939LrQifBsqmB/gNJ06tYhQwcQN/DKqxXeH1eq0Jzn0SXq/XCqACQNjn841kc0Kv1/sNAF+E6p3/lM/n+7HgMI3AVCPYB2Tm6Cfh8/nuA3Bflve2Aaon3xQ2qwSPQ0IgojYchUiwvPdrkH94t+FYGhxTDW+3YM1QUgmMpdQiCIBZER8OOVKJJYZkzAtv5xI/qKJweu/EuxzUJ6hKa3cak1UT5ydrbxD+Tunid4MWlQMVDVnJMAJq8mkymYnlsokoOonjiRZuXnODWumTnbQnaOCLVI+S1877rKcIJlxkgxdUXxfhdIClLzz1G/WPY3tUnrqWZMUZSJkTGWnQD+WfPwLkGKQb/x0kncRsJiOcM/DTeICiAsZfNgZ+whCUrvoglL9+Q900d626b/piVXKWEKBlQZKrS1wFWYU9aWDk7GmLIjlQNskTUCvAppu48jbw3UYDv7aFz+1gHCVUkUE3MBWX7ToPPutUMeXgiyk6BlAFyot/5mkQZOI0OUIIyOzVxgUr69HVV9SMhtS+89APAEVWJXbDgnatGfi7dJHhxtl8fokGixWQ4yArr1WdPe4i9dlrCl85JiQDAGWcXtJtn4fyj2+n9u1+CXTfRkgf/SkXVc4HdLgHdMvj6Q+qyDEHios655temCWYOY4e2wvavMCot59YxFmgAFWNgCY/GhyD8so/ePWgNG2TVE9V36mWY+Bwp5wRomhic4oORmpb1Iq3ecBus2BmUxkaa4tgt1nw4z+lojjsuj0fAx9QxRXi8fTtMutzu4v4OhrREOjejVxhSSGyiExROQ50HAaqGidl4Tghio7P56MA9kOl0cwUHOJNXMOYSaM/0OslXq/3d1CN+wiA202MeyClnmOWuq6Vgct43VOBIpegAwkyvpMefEG7IpUNIKt5r7mzXsf103msyIILjednJzIzNY085L1IYSmki94Jab4JfUYENgGPle7LYrAkBSWQPvI/zAZJve8JGPiAMbEmefqzyHMKQO3wDA2LLLsitU+remh3gbCKC6cLJsoOlPUccjxnEyOKMbTo5keBvhPAYBeUlxlDTXihDKYyW5wtjYEpTO5TsjDDNaO9phnkintAll8Jcv7N6jYigUxfDDJtEZ+Il66aKXvqLGpnnC4QyZKK9iUgXccX5JEuvC29NzTfZERdxINc/WFIN36KMyw5+kKHrp4ApToOfpzfJ7q/DMX5OPQez54GkQtE7YTz6PIRE7rxASi/+qQqSzvYBbrlyWSRPQ6aga+TzJRuuhdkiS5h0lUA6b1fUyNyq64BkSRIiy6GNO+8VJtmn20gc6odjcd4xZyKKUa6oRxX82ImCgFtDICarK5B/xxjESh7NoCePAQhgmKn1KkAYRfWrTug/PazoO2p+6LRcIpmZbFyziDlufuMCcQZ2qblxk+CXPkBVQXupk+lqLl6yd5L3p1zcvH1F4vHPa2qrtNhhSQRTKkWP9N8KDoAcOt6L6Y1lGDdsimoLBNH1PQKaqYQFNekr6eXlaWiKJpOeIIO90D5nw9BeegHUP7y9ewT5tNgMkYhTbj9BsE+bdtTgn16/ABqkaoxAOt9Pt/9WVzzWq/Xy/0Gr9fbCGAxgBM+n0+cxXOKUVUk0MNffT1Q3cRv1LzYeh6rww00eA2Jq+4p/Pf1jZ1YbRwfUHnpLzzXVLKaFJA6TcYsqwzBeOLprpdS20WFehIgFqta1Kt+Bsjl7wOxWCfs3TEbcM42+54QAumKuyF99KeQ7vhi0oAEAOmyO0FWXqNOwBNc8AivbcovT8DEY0dYw9qMBsEOfGxhHdZr2bYL1GSSVg9OY3zZnfxiLd2LFRn4WVF0UueU5qyGdP7NGcO1xKwUPXvMrFV8VeGzAGTqHLWdXfVBSJ/6rcFjR8rrIH3wB6YKP/kUFQJgqKAteZeDON18BIuNALEFlACVJsTS3Mw4+GZJtqzxri+uB6iRDHahO0mJ7sKaI6wHNoMMKz2yk1cp02Ci+kQkCWT19fzG0LhahbVloXkeFvuseo/xKmki9J9MPa/iClVPX0RbmwzanglliMvt0D1H+sbjoC/8CcoD3wcd4aUcKaVAiGnHp9qDr1emUmQoD34Pys7n1c89jOR1QQkfjWej4xqySWyfvUpVgWP7t25hkKTY5oBpelWaBPQS4xWlYgpjvvNyTYUH1188HUvn1mA8IDacszbw9e8DAKjC19bQQyDWoG/vygsMHW9sEDixH5RhceSDyTDwfw8gDOA/vF5vssd4vd5lUJVvQgB+wWyf5vV6Z3m93mJm2xUAPgUgDuAan8+XlhPv8/mOQTXyZwH4OnMeD4DfQY0oTEAaIAcIqp+umeFSNWkpxXqyS93V4IXlXV/mqpLSPRugbHoIiDC0k7JaSB/9ier5K68DueQ96kr6/d/GLKaIAwA0TzFSewib8HNkJ6hvS+qzJPGKIhoEfLlTAnZiTChcUJ0GfqawFJmxBJbbPg9pLpPUy3C6ydobc7olswz7s83A10CcbjUUyiZYF1dAWntjsgLupMMswVdDYgI1JICxkSEzLyl7mvu/AyrH1aQlXbK08vsvpCTf9EhjBEisNCKQfnITGUI5UHRyQkl12nuRPv5LSFd94OyLJAEgLQshzVppXp/BVWB0ZmjQK+xkCYmR1+QvZlJfY1Q3MUbDOilHsyTbzDKZwt/mcJ0SDz6xuyBd82F+IytNOjdDxe/SGmFtFerbaqgaqzl/SLYSndwJdX0ww0KOHmU44VWJ8Vtk4JssYOiJ/Wq+TxZF9kQFich5N/GLxtEBblFCt2nVkinowZSwAI3HoPztm4wzgEw4ipwRJgsIuuHvoFQBZSIhpG6GcYGmh2iBmtV9FKRq4JRUTyodtExXPZyVudRgkcikjIdsYi2LbA18YlJ4EmNpCl+J5Fn1EStdtEh59KdQfvcf5lGkLDBRDj58Pt9xr9f7aQA/B7DZ6/Vq7tiLE+d/r8/nYzPPXgQwFcBdSHHfNSO9F8CHvF4vUwudwzd9Pp9GEPw3AK8B+KLX670egA/AGqj8+6cB/HKivy1fOC3A+4f/jKDkQnGl7iWW81w/uo0PbugLHUkLLwQSUkolAG67woujHaOYP6MCJUWCjlpmlpaQSITSecIwxTupsorpQGyOVJKbpnChnwjyoAtJV34AdN+rIFPn5FXUZ/6MCuxt5Q0CcvYwn884DFKkesQiUA68DppIuk6CnfTNeM4somGVd2/WHnuOAw0CqpuZET5tkVG+1ZZmchsdAJXjvJeSrY2w+jogHAR98wX+e3lMOoQQSNd/HMrG+4HCcnVwZxJUJxqZOtMgrgI1/0JXFI3MXpXfCafOAWqnAd1tPHXRpIIq3c1EBQFVFIBtV6wHXzGJLplx8EXGu75A02TqouvHNOZ3kLlrQfe/BnS2ir/rKQYE6lB070a1OjMDsijLhH8RdFQi5Q9fhvSR/zE3yJjKuUSLUomiCvocAwC0dUcycZ0+9Ru1YrQJaCwC+vJfDdvJ0vXqH1Z7ahEx0AGI8skYA5se2sJ7zJ0eY62KyYaAEpK6n61AJ0NHKyhRx6+66UDXEeMXrPasoociECJBuvU/QE8eBGmabx7NyQCHzYKIzsgu0yWii+piyNnQJbNAgdvOVajVkE2SLWCSiAykrZydSd3PVFFqgpiUlunz+X4B4FoAbwA4D8ByAK8CuMzn8/053Xe9Xm9Z4ngAqAfwrjT/krpvPp/vKIAVUBcJlQCuBjAM4D8B3KRP+D0dSDYPqsCGOIoVv3EyKChJf5IMnaa+uhDnL50iNu6hJtKaQrKALL6Y33TNR9Lfz2SCNa7MGnwekmOkrBbSBbfkXbFT5MU/Cx2nZw4ZFF/ovk2qdKA+ichMazyd8XPyEHBiv/g6Zt5fEw++JEp6KjBGvZKcVUWG8j8f4rn4rGFnc0C66A7VWGSRr5Rl83xY3vffsNz0SZBl61M70slCvoVg0fH1AahGeh4gRIJ0++chfeB7Kt0xuSOL5M7CMhDvCp0Hn50eTNomQwujbF0FOYPXWLJMbuRFvyhlo3dEMqdDAYmFR5aGEVu5XERDSANidwEsZSMcSMufZyO3REvUFhURikXUwmJtu6Ds3aR60F/4I38uXcExbp9JYiOxWFUDlZ1vEs4mQ1SAdYrp1fBOtYIOoEbdTZwe9Onf8sIZiegLEUWZps6DdMO/Z6QPpgMpLIU0Zw1ImkVHJlx7kXEM0FebtdtOndPxsjVipbmsKTolVcKoCh0fUQvgndgPZecLXMRZGH1mKYW6aNpkYcIefA0+n+8JAE9kcVyT7vMQ8iSBJyrb3pXPd08pOC6mjreWadWb56o4ef7SGpArPwD69G+NOyUJpKAUZOnloDufB1l0yYQ6as4QUHT0XptTLjkmwOxpZXju9eOn/bpvGeiLP2ULLpHRxINv5mkSQcQnBcwpOoK2baCVVE1VRx8mjE/feAyYf4HKMRV4d4nFlndxNTOQFVephko4AOmCWyZ8vrMFZOl60B3Pqn9f9M4JGb6ESEY1KS5xNkEV07UH6a5vgUgSKMvB7z8J5bWHQZZcah5dYhaUdPuzgEb/y0QLyVJVLFsYPMS65Duij8qy0EcWzFBYxuXvkJVXg76Y1jdnAJl7HigrBTg2BJglibOJv67EdUUSq7EI0HMMyqM/TXwO86IMAJSN94sXk4BwMUaWXp76UFgKJITdaDjAa8cnz2EyjgGnxcAnhKgGJStMYQaNgqt3yniKYXlHmoXgaURdFf/MHDYL3E4+cq/n5E8mGmuLcM26FjzxCh/ZypqiQwikmz4Juusl0KO7k+2RvvBHfl7oOwGcf7OqeCRyaLIRiTzkarPBKY4t/YtBmxyU9N7KtGFqS+4UFT2k2asgfVJk4KudRlp3G6SP/UL1Rp5OuJmOPdSjZomzg6cZb/cUwyJJeO91vPc/lkFS618Kjvw4plQ28eAzBouBX5wO4SBohw/yP38MhauJwJxbk48rrjD1QkrXJpRfbA5I133U4OCkO56Dct+XoLz2iDg5WG9kTkIiILE5YLnhE7Dc/p8gxZWZv/AWAVlzA8iq60BWXJ1dMbxcwVF0ZP5/QPWma7Q/XREfuuUJKL/8JJQ/fFl8PlaKUI5B/sW/q4mNbLsWjNenvBaFgCNPLnrnhE5JFupqrMxeleSWk0UXi75iPMey9VzhMeX+76gUGaqAdh3hvZiskZ4QViAX3Go4Jx3shPL6I6nPG/6uelBZnEijpaGT/JTu/AZ3Hc6hlFh06KlLnPxqVxu/b4IOuayRrSNOM+z1beQsUuPS6+EXeIx0RJEHf2pd/pEHPWY2leGuG/mKz7lIcJLqJpVOPdO8Aj098DqUX98LZeuThkWpeoAJNXAScZpa578GaMdhyG/+iA9VCrx70pUfAJ17HuiJ/UwyTwKTxL0lkqR6YbY8KbyXM8HxJUUVquE1OgDEo1Ae+kGKfwmcvsFSgIpSfkB0mFSy+5eEyIM/xQuwtAURzBIZmYAdyYUKMD4M5f7vqqc7vhd02iK1mBBjYEvv/groif0gDbNMc0vIjCWQPvB9wGYHcXrUgkK6sD8A0F0v8iomWmXlBeuSXmkA4joW5wBAHWfImgxJfxO6gICiw7Y7dn82bY05XrronVCeYFK5wuNqgSfW++wuNFRExgQoEKa3del7QDc9BDJ7NYigJgZZdJHaJgUJteoBEqTrPwblkZ+I9+vGXmJ3QXrXf6leyOYF2d0jISDTFnEGMt34IJcPIX3yt2pEQlS93LtcpeQceD0Z1aMDnVnlZdHgGEc9of5hYKCDF5koqzUqv7CiE5EQ6GAX6KYH+WPYyIJecvR0zVmeElV5KAOIlripE9M4I/LJWaK20uhAstuMdpOZ4l2+KCrgbaC8govpcroSoK/+02QHMyeKlJ4cbpCL3wW89F9QxSVzxzkrZqJgPdAnDwHyKC/9Z1JUgjTOBmmcDfnQFn6CmETKjJoMwhj4GRI9TgtKalIKF52toGxy2Bk08AFg5tRSHD4xDIfdgtkt4sJS/5KwGheDpKSK5yWLYBba1i96m+YDxwUlK2wO1YuY6B+GSsZDPUA9b+DDVQBJKAWru39GOYrMXSs08BEJCu+blFZDuuETUDY/BrL4EpB8KUznMHHYGXqKNr4pMkIOBWMFCqr8qf3E5hBWG+bAzvJF5cb9egPPXWw08E2K0k0E0oILQedfYK5cRCRId30L9MibwGBnstJscv/CC1U6HCHiiJNg7CXFFUalj0zQGZaGZOfuNtC6aUCEeY5apECyqIvn0hooD6gLeQRGQUpr+CCb4P3RQ1uS+v00HIDy1/82VPAl05cY71enrER9W43HsOOYnp51muYsUlCSXSZFIgpOiitTx5dU8zk+ZwHsNgnRmDq2NtSIqJS8tX3L+plpK+HmA4sk4Zp1Ldh1qA8LZ1XlRx/MMVeFA2vUM0XyyKprQaoa1do3RRUgpdUABFXWs8A5is5EkS5zGsicXaBfaU9mqEafLX+a1HLSgZSkoR9IZ9bAv2T1VFy8shG3rvemrXL7rwbhwJcNjcQ0yZY/n3TJuyDsKEUVkNJQD5R/fBvK83805/dnCWKxgqy9yeQi4jAqaVmoyt5msZg4h1MI1lue8F7H4gE8s24cr6wKYv80voqrnopiADv+pqnJkYTdyH8fLlHQE9gLmmVF12yRaW4gFqtaH2DF1cZ9LQvVaNXam4RCBiRLL31GmEnZsvvDwdR4YHcZ89JYIYrxkewWGczCi+7bZDDuAR33XoNeWUnkkeUMfP6dkmmLM9/bJIC0MO/H7oR097f5/bNXQbr7O6lnOWWmWnV49mpIt3wmb8WbU4VrL5wGj8uGaQ0lBvlvDXdcNQvlJU7MbCpFfdWpyRWc2VSGW6+YBW9TfotyUjWBfBszD77NCTJ9yaQUOTy73vpbEhkMikxGdRY6vvmCSBaQS98L+sKf1FLcTfMyf+lUI52BbzmzCxCXw4pFs6oyH/iviMIy3lOZzaTLtm0zKUKo3ibp2o8kpe+SGOnN6CGhe/UlM/JM4owExdvZBfwp4kmewwSQMPBHC2Tscj+D4p44XLQAsQSr40BLABw5IYMiFPeOXZlzT0h1E6dTPVTjxgvBnwNBYHXtJ9BUlEOl70kCEVFaEsaCtOIqYMVVoMf3qZK0AKRb/yNF7ZggMhXmoR2H+RwT0TNmcx8CI6aFqjiw0WmRylH9DLGAA+tUUmQgKhgHTDz4ZME6k8KRkw8yfQnIhbeDHngd0qpr1THznu+AHt0DMmOpmsjJHi9JIGtvOC33lg+m1hXjg7csSOs1r60swPuu522WzvEdODj0KJqL1mFayQRkXScL9TOAloXA0d25f5eTkTYXZpkIzhn4EwU36RuDaJmqvZGFF4Fu+Jv6d74a0WkgLVgHOmMJ4DgNer1ZgBRXmYcazzIvQ76glGIgPI4KZ8FZWagoH5ALbgF98tepzzXNoCBIK8HHUXQyyGSKeMvuohyLsOVfCIXMOw90+zOG7TTEUAneJu9yotBUas6Gtk3K60ABbF4Swlihgt7RZ1FiNZfaJUVl6akObKKdqCigHroiR7vPKwNCqizL5u6fnBEDXwhdPyJN89Lqx+cLafGlUNJI/tGtTwJspVVBlITYneqzj4bUMSSb6sds5EBEN9LVn0kdq5NODQsi8mYG/tqbTuucKi25DEjQkAA1py3bBOizEfmMHxs71chFf+ggGgpXwW45xUXGMoAQSa1n8ut7s2unxVXAaIJiZubBn0SmxZm3+N7ySN9IyUpjuJTbr3kBpi0SqghMBoir8JQNRL3B/Wj3b4ZCs4xEpPHgkzNM0Zks/PLgJnxp++P48xEBn/MtClI3I/WhqAKkpCozTYf1+Gei0VQYJ2Cy8CI1JyXbAW8iEoxltZCu+ze1wiULVprzLFggn2lE4mP4++Fb8ffDt+K1rh9lPD4UH8bxsU2IyCYSpxMEqWwACsswVphqXyPxDvMvNMxKnzTK0rAytCfp+o/zvO7aFsg0A0XlDCGtlOZkomkuyKz0jipOwtmMBsV4pGOj/eJjWKUY1oMvyjEwc7TpKDo0aGyndMdzKQUgemoMsXPIDL387XgsTS7NaQQhBNLtX8juWNYepGIO/mTOM+dmrFMIsvJakAwhYWK1Qbribliu/7ghzHa2YyjchpdOfhWvdf0QbSMvZP4CAJTVGar5JnGGKTqTgfFYGLsHVQPj1Z62DEe/dUAKS0EueQ8wxQvp0veoG3UcY3LVByFd97HkZ7aEuplMZvK7DjfIhbenNniKIa24SuUdZyoOlzzJxDzKZPoSSCuu5kuwM8WOzlF0AN9IqvJ2u/91hOImxcegTsivdPw/bO7+CZ45/lnIikDnfDKQbftAwuN2wycgXf9xswP4j+vSOF0avCBlat0R4l0B6eJ3w0p4QzqmnBp960wgl7w79aFp/um7LpFAzn9H9seb6cgzkZHO/nbxMVqBLACUM/CNlB5i1kYkPsnWrNaG8tOPQtmzQedpPTcenGqE4sPoCrwJhcahUH78ePbE57B/8OGszjMaOXlK8mI0kJJKSB//hVp1urhSpe2IjmM5+4qJB38S55m3h8v0bIF+cmDk4Sil6AiMoMpVCIcuhDgaOQnf8JOYWnQ+qt35VWM9E9jc/bPk39v7focZpZkz9YkkQXrnF4HeE1Ae/D7PPTtdXqZTiGD8FBkxZwGkhRcCCy9MfiZ10zjOLfGu4BUuBlkDXyyTyYIsvlQt6DLUw2umF5Say/9xJ5gkygjrxdPK2OvOf2z0Fezq/xMaCldjWfXdk3PdtwA6x/nKoKH4EFxWnv4xEGpF68gzKHNOw3DkGAAgGB9Ef+gQajyTb2yS+pkAdmV/PCFqxHTNDaCMxrq6k59cpaXrQetnAg4XlN9/MbWjqEKt3gq17ggS9EpLBz+G7en/G5ZWvz/re5ssSAsvAi2tAfUPgcxMU938VCBTngMLM8ObMfCnCrzqQIImqDkRWIqOyINvdk8WHQffrJgeAPrSXw01Fs7h1EBWYugPHcTr3T9ORv/WT/2u4bg9A39FY+FqFNprTM81Fu3EU8fvBQAsqboT3tL0rIp8QWwOWN5xb/Kz/EPBvMBS+kw5+OcoOmclyPTFIOvvApm1EtJ7v8aFeJ9o34tvvPk0vrrjCcSYlxmMDeKp4/eibfRFvHTyq4gr4hCvQilGIkG82HkI9x/dgWGzpMDThMFQK8aiaULhaUBsDpApMyHd8UV+RzaqFWc5IrrKvG9nkJXXqMm3VrtaAp0QNflWa/eBEVDteWTw4AOJUOfsVZDW3sAn/WVds2FyDHyiV59K7lDvW6Ey3uj5GcLyKFpHnknrxX67odzJa1GH40be6ebu/8HxsY3Y2fd7bntMOTVjFl2SX7KdtOpakPU641uwSCQ1zWqFcC3CVFgG6a5vCs9pJXxbPTzytPC40wHSOBvS3LWnveYJsTvBReMS6CuPY/u8EAZKmDHSxMAnTjG3erSmWTXKqxpB5l+Q2pHOg2+1A2bFxxhjiu7bxEfs9NALYpzz4J8SUErxcsfX8XLHf3PUvle7vi88vjcokFhmsLPvD8zf92VPJz4VYI33eBTK83+E/L+fB93/GnPMOQ/+2QlCIM09D5hrrNj4RLuaeDQUCWLHQDtWVTUDANr9b3DHReQxWCWe2ywrCr628yn0hlKT6UudPvzq/IlVL5wIXjz5Ne6zhDxWnfqKhGc+Z2/CiIjKrU8iZCWGQKwPRQ4TmtNpBCmvg3TPdwE5nlTuIJJFTZDTFqDRMOAq4PWlc/S0k8pGUF21SjJ3LT8o5nFe0+stvxJ0zwbj9sT5/dEubntcOQvqS5wmUPCTY0TmDXxKFYzHxEbSqXpOUUf+EyJxF/FJt2kmV32Sowgy/ddZ4KeDtOQy0NppUP6mLoTGXQpeWREElYCu6jiueakAEiUczYaDiYE/2DwPpbd8VjXah3tSO2LmHHzpxn83XTDk7S0lZHIlrc8hiajsR3/okGF7wIRzTzNUCAjHR7jP/aFDZ44pwbaZcECgAodzHvyzFdmaF+NMODEqmCD12DHQzhn3gKpd0pNN1vYEMRw+pnLsR/mCJfpkMquUuaKbHkRfTptVV3iLInwKPfgKlfH08U/jyeOfxL6BBzN/4TSAEGKU5XPoqkPGovz+TFrZ+mssWGfcWNMsupmczmt6veKKZNEcDgnjLxjPgi70NkVE5kuu6432dF76U2Xgdwa2ZTxmMNSKZ45/Dlt6fsEn6+lVmkwKE2aLuIBzLytRwZH/AihPJbaOFcqgCWsj7KR4Zl0A7XUxUJtJlVqT4nFUsqgRYEJ4zXqTJFuy6jq+WroO6fThpVs+Z7rvHD3n1CGqBDIfxEJEyWKg6Bbd5DR5Erk8GCQoqFksCidTEOWcgX8GwFJ0Igo/YVIYDXwzOs4bfccm98YE2NDxLbT7N2Nrzy+TVATRIiQfAx9QNZjhcAOVDZNXbOUM4lRSdNr9m+GPqZzTvYP/OGXXmTBYvmskABzbw+8f6kEuICVVRhUMyWLkFk+mR62qUXAjCQM/xhv4mTxIbxdQSg2etZjOaE+nlqM/drIwEjFJwmTwcsd/YzhyDEdHX0ZPkGmPOg/yRIUOREm1Zs9EpjGEdN7FtxOI3QUyZw0CTgW+WbxBPO5R8MbiEA47Doq/7BB73GOsJ15UxRhIW1TPABNDnay4GqTBC7L6euH+cwn3pw5RnRNhopApv8C2SlnI304CyPwLkopSZP4Fak5mNk6oCToZWJyj6EwmslwYxpmM6ahu8BcZzxFFbDTaT7GsZEwJISyPJD9v6/0tLqj/nNATZ5HyS5AlU2ZC+uhPANC3RchzKMJ7Hyilk6YXHsrDc7yz7z70hw5hSeWdqHSbe7ImFYyBT9sPgfYc5XYTbx5Jf55igFXlkePAtEXAYcZ7O4m67KRxttFsTyzeAnGdbF8GD9LbBVFl3DBexWnKoH2yfS+2972BmSZFJ9ljJxfpn//Wnl9xhnfX+A7UehIqF3pPcU51F4wQjY1RZRxulPPb5ACeOvYphOVRrK37FBoKJ78GytmA3UtsONRsbrDtGv8nZuMOw/ZeqkBUctDPqpCwHvxYFJQqiTkkh8rWIm+pxQay9kZ19+rroBBiTMY+58E/ZdBHCScK/YKBnCa/NpEsIFd9ALjqA8ltNJvcyUlU+nnrW1RvAej1W+O6JFvuWJ0HX1YUPNkuLhwSP8XJIoeH+QSxzvFtUKgs9FLp5eFyAXmb8BkVquDBY29y2ybT9IvJuSUp9gT2wjf8JIbCbXil8/9N4p2kB5kyM/k33fQA0JpSXiEzlwFVJglv6c7JJtQBGBnuAUkYY92VMbQ1RCEzTWgkcgKd49vzTqgiBaXGCIFLtVyDMb5apyjq9nbEaOSkYVtcCaM/NI6hSACPndiLcBoP/qmi6MQzUGDaRl/kPh8eeZop1qUbd7IpbpUGIp6wvt/GlTAeOnInQvIwKBS82vWDCV3zbMah4cfz+t6bMv9O9xaX4z8XroXM1imQJJWLDwCggEYFVDIU1WNRaYzUSXf8J+eUIbNXGdtF9MzIn77doVDZlGtv+h1kGOMNbeAMjtdZ2Dk0NHkLnLe+VXUWYigSwA/2vIBf7H8FETnOUXIAIJRIxJSVGAbCh7l9im71tnvIXKkmKirJPUmgVMGegb8Ztgdi/cKJ2iblII32NoU4J2LyTPxcNbX7Q6nE1JgSxJPHPokdfb/H/YffhZdOfh0yPTUJwWTaIvN9570jr4iG3thuHxsACsowVCxj04oQdiwIwzdVjZ6MR3vx7PH/wMbO7+DQ0GM5Xyt5zfV38RvqpgEAAnG9gf+v4cEXJb4d9/fgS9sfw39ufRQAYJPM8ytOnYGfu7HVGdgu3pGDpr4eA6FWobGh77f7Bs+O/JlTgZgcxMGhx9A1/qbBsZULHg2PYnN5LRQAT9U14ZczF2HU7jT2NDvrxRcUo8ow1pDCUpB5qWrDZN75IDoHBCmuhHRHdoWMziF/BONDeOLYJ7C973c5fS9TjotNR8k5o+O1Sc5HYMlK+JojGC9Q1RgnC+coOqcAfzy8BYcT5Yi39B3HIl1hJy3J9s3+Pxi+q1epSJe0qTArUUopwnIcLn3CY54Yi3YKtwdi/bAJ+PY2y+kz8ONKBNY8KUGnEjHF6BmgFJOmDhTNUWZQL7k6Fu1Mvtfe4F70B0+NLjmKRcH1BPKUQiWShIcapuMdJ49AJgRHWuZhYUEJWptSg/u+aX7MpTJ29f85aWjtHvgrwvIYvKVXwWPLUHlXf02bA9K//xoIBzhutsGD/y9C0dEr5gBA+3gvgJQX1EbMJ9tTZeDnU0xqU+d3cYf3AShUBll2Bej2Z4DCMr4ybY7oDrwp3K7dXzg+ip7gXhwcejTva5ztePbE55N5QsurP5jxeIfFhM9FCP7UMgd/a5qFOEej0fU1mxNAol1GwyqVj+bgwQdALnuvmhCsKGoipOiY8jqQpZeD7ngu4/nOIT+cGHs1K++9y1qGUDxVJT1dBHU81mc455k08InFCnLF3aB7NwKjA4DFBqy+Bq+6HsJobQTHpGJc5S6atOudM/AnEwlvwcGRVBLh7sGTmFHMGxbBuMoXbB151nAKPQc/nW2oGRaBWAQ/2vsSOgIjuKl5ES6fYqLjnQPMJuOo7DdUlFNv5tSHvUYiJ/D08c8AAFbVfBzNxRdk+MbpRTBuNG70gwmlFBQKpDwSaY6PCSS10kCfXKSHyGCbDBCnW6WziIrGOPJLxgaAl6ob0eEqxJDDiTmuQhCrDbKFf77/OGzU3/YNP4HxWC8uqE+jimECYrGqRkMClCoCFZ1/DYqOKPnNQngHhE06EwY+v/CddcSOQ9MzK9ccGHwU+wYfwDTvJVgy44tAWa1RESoHmPWnmBIEpRQvnvyKqePk7QBKadK4B4Btvb+Z8DnjOo68orfN2ETbpFRmDkm2SFTfXZpFkcbz3gF6ZBcw2gey4MKMx59DbhiPGsUXrpj6PTxz4rPcNrvkQVlBCzrH1Shcuuq0e/r/btw4ybbKWKQTY7Eu1HmWZDWvS3PWAHPWJD9HZD9Gj/xYPZfSh6gybr7wzRHnKDqTDD3FBlANcO5zPIKBkE/4ff1qVEkzKSoJA/+J9r04GRgGBcVzHQey8igeHunFLw9sxA6TMuBmxmFE9sMfM3bE07Eq1ox7AHij56fcPoXGMRo5eUa9qWIDP4WoHMBTx+/Fo20fxlC4Ladz+wWD30RxKvXbyfIrxdsnkGtBCYGvuAz9TjcsiYk7Zs3ufXeOq8m4MSWEsWhX3u0kLI8aZNfYtk8pzcuj/FaAqKBXOgN/WvElWFH94eTnzsCOU1Iqnq1LcMWmEniPZlfYaffAnyHTCA6PPIVQRbFRtjdHHBvdkPzbaSlJ/h1TgojIY6bGfblzxoSue7ZAn4CdDUTtQUnTNw3zDEPRUTY/pp00tX8yE+8tVkjv+Qqkd33ZIIF4DhOHaNwUVai1Sk6UOpqSn9N58E/4Nxm2Taat4o/24NkTn8emzu9iz4BgMZEF9BGGcHx0Mm4NwDkDf5JBMBrljSZCCAI6wy8QiyJgoojCDnhvdP8M7WNfQYsnlWS7sqop+bc2EG5jjHR/LIKxWGbD7Qd7X8SuwQ785tCrCAuKM5klrkWUceFEfyYTDSmleL79S3jq+L3Y2X/fGbuPcYG+O2tI7hn4O8aiHQjLI3it60c5nfulk1/N+X4yqQWcKtlCAJCWrQdZcwO/0Z6/9/6kfwsWl27AjIJdsJEILFpV2bI0dCAd/ua7BQ+2vhdPHvt3PHHs43ndh7jtq+9YVqJ4+vin8fCRe9Dhz6zNrlAZneM7MBBqzeteTid29L/By0smYCE8pZCl6NS4F6DE2cTtN3NsZMJx/yB+su9l/KNtO2SGCjcQOszpZnsu/jCkOWsznq/AVs197slQDTMTFCojztQGKbCl2mV3YHda+VALmRxa5ZlGkKFNZAvRvBFNQ0vVL8wJK2fbtgs06AeokjLiJtHABxJVequbJk0Z7RxSiAn070Xy23aLh5vbcrU9JtPA39Lzc8SpOo/6hp/I6buD4Tb0BvdjXG/gy+cM/LMShABdwRFum0Kp0cCPRzAc5qUDNWgc/Eh8DMcSlIxGT8oAcFpSk4ECiqgch19n0Os/Z0JAV4ioP3gQr3R+S3isrESE3v0z6TnvDx1IesQPDz91xu5jOGrkyLNPpS+YSno1q/ZphnyKK2VSFziqK14GQLjYyxfSqmuBypSsHWHCkrlgIHQCr3Z9H8W2YdS7j2Fu8daUge/Jj9M/HuvljK7O8R14rO2jGb0wwoSuxKL84NBjGI2ehEyj2NT13Yz3cHT0ZWzs/Daeb/8ChsOnvqZFvjjm78DhIbHSi96Db5VS7cdm8aDYPoXbP5hj5ErDbw6+iv3D3Xip6zD+1/d6cvuJsVe54+wtS2G5UFzhu8KZUneyS7zOeuvIM2mv3zm+A4eGnjBVsgrEeOnUaia3pTe4Fzv77jM9d0YVkLcIQvkY+IJ5I90YZDhaV8egt/MFPFb9NJ66aBzjLuVtp1ffE9iLVzu/n6SnZIOzNUcoEOuHrKjvOhyPYTCcnXqM21rBvVezqKB2bgPyjCL2h/z48d6XsLn3qEq11dUF0Ud202Eg1IrnTnweL538Kg4N8UpTB4cexYmx1yblvb29Wv9ZgKEwPwEolBooOmE5biofplF8zKq51bmLmWMpHji603CM3mA3XoNvOFYdz3FDh9i4B9TiLIqg45xqD75I7lDr2Dv7jMnKZwIjAuk0tpOORjMX5BFBpHbDUgBMv5dBXUC7n7Acwwudh/CpzQ/ik68/iMdPTMybyUK64RNAbQvQMCupLZ0LArEo/nL4V9y2EvsAJKh9ymyhnA20NhWJj2Fj57cRiPdj/+BDQjlIDaJ3oXmE9IpYmbCt99fJv/OVEzwdeLnjL6b79AY++9kqOQ3J8E5rSc7XjykyBpn6EjsGUv3o+NjG5N8NBSsBmNPA3EySdUjmIzEj4eMGI13DaOQkNnZ+G2/2/wH7hx4WHsMu2N3WCnhsfGSpJ7hb+D0gPYf4rQRRdEuPm6b9L5d8K5o32Ah0rasIF9Yysrt6D37TPM4juyP6JEKWMAJuiiNN0Un34J9pbOn5OU6Ob8HGzu9k9bx7Anvx2NGPYFPn98+adqZQGYeHn8ZjRz+K+1vfiUBsAA8f342e0Ah3XK1nEQDAbeVrSJQ7p2flwTdbcOZjNsuKgi9tfxwHR3pw3+E30DrWb8i5KXO0cJ/b/ZvxRvfPMRI5YTjf1p5fJv8eDPMR3O7Am3i9+8ecCl6+OGfgTyIICMaih9Ds2Q+HpBr6CqV4+Lj54K6H1lhZb6+GOSU1cDAyS8f8g9jYc8RwXCCuGj/BeBR/ad2Kh469CZnp3EdG+ZCQ3uDXQk4iKDQm9uCfYgNfr1wCIBkSH46cHd7PdEm2ZsZDNhBx8jKFiCmlODa2Ie0x2iD5XMdBPHB0p5r8DYon2ifPwCeFZbDc8UVYbvksCFvhNks813FA2N4IGcNI5MSEvJ+a52Tv4P3cdjbHJBSPctQrkZdGe8fhHKqS6ukMVpI/femUg/KGRJlzWvJvifD9XmIoO1ptjKmF56VOlYeR0adL1nZZxvHwkXvwYvtXOUdIS/HFAMypaXZLymuvryCrQMZjRz+Ko6MvM/dKsbn7p3jq+L3JbQeHHklyhYfCbXjuxH9iW89vuATBavc82HOQDX671FHIRNGxSx44rEVoLrowuU3024eYYkBlTg8kZqjT0yu63P149LJxbFweQMSmYMyaGis7amJvKw9+TAlxkdze4P6M33ml45sIxgfRMb4F7f7Np/L2skJPYC/+cfh27Oj7v+S2x45+BBu6fSC6tqAtBM+v/xyq3fPgsBRjdtn1aC5exxv4JmOKeUQp9/7WG+KN+cdP7MGREZ2iEjMnB2IDeK3rhzg2tgFbe3gHFWAUBhBhR9/vc75PPc6p6EwQrEchQMcwFv4jpnooPNYx7BtdDd9oZiqGXfIkJyqtsW7t1TcKisaCMs6w6w6KuVqjCU/yz/ZvQNuYahhP8ZRgZVUzAOD/DvMdPRMnzUIckBPGtELjYv30UxwG3D/0T8O2XEJipwOhNEm2uRh/evij3YZtmcJ32YRwndYSUEpNC6mdDdg/3I1Ci9GIJ9SPfYMPTejch4Yfw/SSSzEa4WtNaMZ2+/gQ/t+uZ2GTLPjw7PMxp7Q2rYJULsm1MZmP0BU5ppgcmRsish+d49vhsBShvmDppJxTAZ+06i29Gpu7fwIAhkmZ5eRr3nvWo56PMfv1nSnanccyhuXlLyIsA+EQP/5JCS67mQefp+WI+8+Wnl+gpfgiAEBPcA8XIdDwYOt7uc+D4SOocs1Jfi6wVcOj4/inQ77F2M42ZKq0LRHV3GDnMJFxNs548IvsLhBGS07/1g4OPYqonaKnSsamFbzRFHZQnGVTBAC1TkfryLOo8SxIeqmzgd5gZZPLzcA6QAbDrZhalDk/5VThzYHjODT4deG+YtsgCEm93Usavp6UNS5ztuDihq9wx2czppixIPLh4Mf17ZSOGxxDbD9+8eR/Jf8eDBudsNkiFB+ZUOTl7bO8PUNgvd97lJ3QhqAKRw/Mg0G8ODrrETNrrAQUcapAykJUvT88jqgcTxr3APAYQ7sYjhhpRDt6/w9PHbsXPQGj99ZhSfGcZRpLS1M4VRDxxc+2iTEUFzyXRPtQdO+10Fab9XlFnvhMz1uvtT2z5EpUuLyYWXpVcltYDuHeNyZmJLPwR3vw/IkvYmPHtw0a/IBKGWodeQ4d45kTUNX7i+FkYJjzCmuwSAp6AsakTw3XNP8kq2scGnrcYLRbJdWg3dR9BAqliMhx/Kl1i/ob0rR9mZoXedIjbohKTKz/RGQ/Xjr5dfzzyPuxpecX2Nj57UlL3rUS3g/ERqqI7r4tSFlUFs3AR0o6jubYZ/V0w+YCc69leWIcNffg5yY9N5jD8+tjwukuWxlKHVORbQGMXJ/J2Qp9sqAeSQOfo1cY2z1bwNEuWXQLgtTxcSWC/tDB5OehEp0CnQWIkuz75OnCtt7f4tDw49jU+b2cFFPCcd6LnOl56znobaPd2D1oXjjzVOOPh83zXGYV7eDGEomk9z1n48GPyiYGfh7OSFZtUEIcdU4jbZHtx/qI/fGxTcmcL4XKWeXUjURO4JG2D2AgnP84fs7An1TwDee8iidQZDW+yBLbQPJYC3HAIqU8ZLIS51Qi2HM3FJRCyoJTOBYNYyjCN25XIjlXJEE2Ej6CwyNPYzR6Ei93fB36iYlddAyHjwu53aea31fimGrYRqlsMPJtuuS504mQbE7RoTpXkj/WnXUEQsy1TP+8owqfsDSlcAUua/wGFlbckbo3GgKokfqUDyileOLYxzEQPozOwA4cEHCVDw0/ge29v8Wmzu+iL4vw8v4hNXKhV2oBgGi8Tai6oMKGQnst1tbdCwnpdYmD8UFD4qc2AWzpO57cptEG0lF0suHEqudXMBg6bNiWL6JyAA8fuRu9OiWY59u/YDrJ5QIK/hxxJVWIhWRB0ZEm4MHvD/P0HLNKuZWu2clie6YefEtuY4O+D2ULp6UYhEi4rPGbWR3/dqDoKFTO6KnUFlj8+6EGg4ut/G6XLNxsxB4pqrSuR4RMjlLYaz1t+EvrVgxkmQiaDlo+hkyj6AoYc+jMoKfOBuPpx+5jurop3aFu/OLARrSN5U8XnQj0+TosXJYgFw3MpCefzZhiRoPJp78905FawM8uEkfHtfOKnECbu3+CjR3fAQBs6MhuXNAwEabCOQN/MqGb7KxSHPNLjLy3Rk9KKq7YXs+tRv/U+gY+v/VhEB17ioBiReXUrAx8Ssewb+D38BbugF1SB4WTAdX4CMZTE2ShdQhzi7ZgR+939GfQnS/1u0aj7cKEsXwnKYXGTb0YcSWMLT2/xAvtXxYmqqh0Ib1RfeYmS7EHX/1fFG34x+E7EI6PIiDIL9AgKzGD4aaeN70XQr8I0xY+FsLTLVaUvwiPZeKyXH0h3mA/PmqkNrATcjaJ0VqynciDH4qbU5DeGLgIYTmGxsLVuHzqt9NeIxDzw9DeIYNSioiSGlg1moDQwKeKkJ7THxo3vCd/tAcPtL6H46Cq18y/3Z4Ye9U0ovPQkTuF0ZRs0Rc8AKeUSmT2x0oQo6lkVSlx3SpnAQBqSLIFsvO2mV5fx79XqHjin1Z8ScZz6ZP1MiEfVRgglUhc4ZqB+eW3ZTz+bEl+nAhGIycRT/QBCRY0Fa3jooWAuvDRkC5JMsoY+LY0Hnzf8JMZ72syDPx9Q134Y+sWbOw5goeP7ZrQufQqTLnQ+vRjejBm7gWWlSiXxA8ATkm9FhvZP12glMKaxsAH+AUAyeCYmYgHf6LR0kqnkTIL8KINIgyEfYjKAeF8fqpwzsCfTFiNBp6NkY1rKigDAJTZUyvoxVV3co01JEcQVwZAwXeGO70rIRGJW7mawUFeQH/oNdS62rGm4ulkwu9gOMAlDM4s3I1KZxcUpO945c7pGa+ZT6dRqIxnT3wRD7fdgx29fzXs9w0/haOjL3FSVNz3ETcYL2dKEiymyAY5VCDl3TVLBn247R48dvSj6DIpc98xvlW4PRNFR+/t8dgqACSqNuoWj8vLjfSnXNE6zFdlNuM/ahiNZFYU8idqShRas/OMawgrbvz6oCqfaJPSFy/qCXUaDIxwPGKQ6nNZ1WcmzD8BFeZYfGn7Y/jFAX6hs633NyYys/kbeZkWB7lI6unxcsc3uM/7R1dgQ3cqZKzyZinunrUW80qrk3lmBJakF24iHHxWElP9vnj8c1nLuM9sxM8muTGv/OZkH8gW+RYsY6VBy118Easy5zTc4X0A1zSnCvW91WUyZRrjtLsr3bOxuvZjWFp1F+ZXaJWlCRZXpXIXOF69ru3HOAPfquPg5za+R0l6JbFs8EJnav7ZPtA+oTlGX28hF++svjBhINZrei+HBIufQtsICq1DsEm5V1GfKCJKHBZJNHam4LKkFj+Z7Bx2TDky+jxa9QmvSOPBz/H9tY9nt9BPSpynqRCfbZR3snAuyXYSQa3RtKzLSlchwnE+JFfiaABhwlEEFBUOY/KMIyFlmQ0H30Z442mqx4fD/sVoHevDHw9vSVxHQaFtJOO5GgtXo8LlRWdgR9rj8jFQRiPtGImo3sHDIw9jZuklKLSnktMODIol6TQoVIasN/BPQ0VdER47keKDuyx+THX7MBorT95Nep4txcaOb+N27z8Me8zDsObPeyh8zFBYxy6l8igkYoOsm1gIFM54opTmVMxFX1o7rjOO9IOqPieBhaxEcWDoYYxGulFotUIi2b9ThUoACA4Md2MsGkahTq5QD3ZS0TAaC8KtW6yF4nEolAqTbCmoYTIJxNXnsWeoE6PREIrt6kLDzHuTS7tVaBwEUnKSy1QYZSLVg/W/N6K40Draj9pKkkyKI6BwW+2wMpEWwkSKWAeGqNK3GUYFsrMOSWx0a/QcDZc1fhN9wf2odM1K7suWrjQW6USRoz6vMc0meThp0Cr3HG5/sV2tC8FSEAKxPsSViEFS9GwHpRSbur6HnsAu1HgWJrdr1CwAmFV6DZyWYnhslShxpIpSESIBiTFRv+iLMZEzu8WCCMMlV3Ic3tONM9lCU6BrcB/GtIL9+Pvhh3Fdyy+SSaC5QO8IYCPTMo3BH+1CkX2KkKKidwxQUAyGW1Hhmmk4dtCkoNz0wr2Q6aU53/dE8XLX4bQUHQBckm0mDr6eRry997fwWCtQV7Akuc08yTa3NnFgOOWxt5uMP0DKBgqfRQb+OQ/+BME1M6t5KPy6qQtgkyyo1BnvFsnBTYBNnoNoKTBKZDosCQM/D13fOtdxWEgM2/qOJwcrpyXzZFfh9GJt3b2o82RW48jVsKaU4pkTn+O2PXHsY9ja8+ukMZipk+urR6r3cWbC3c91pJK9Wgr2o8Z1Et6iXRhO8FIzJQSb3TdLX5pddkPqeBMvxFD4GJ7VPdcLp3yJM9ZtUpH+a3Bb+AVBru9Tb2BRUM47ZfSmUC76MhwJ4m9HtuPVniNoG30R+wYfhBWvYWnZK8gFESXlsb//6A4QQtTCKDlAprJB8pRCTbYV0V0oFERNCiABYvlUwzmyNCaHwsfwSNuH8cSxTyRDwfszqAllqmicC2iClKMwIx+BArfVBsJM4BJr4OfpwdcX7PNYR+GxiivC6mUprZIDdQVLuHaZLQf/yeOfVAvZMH0gW3rP2rpPcZ/1VWq18Ur/Tp44+nGDh/ZsR1/oADrHt0GmMS5KxOaUWSUHppdcilpmAQDkSNExZeFnBp1g06eUYjQaRpPnIKYxCd6PHf0onj15APuGMivZsNDPV8fHNiIi+0Gpgo0d38bTxz+DV7vEReVE7eP59i8K5wI2CsKi2DZkkuN3avHI8d2w6/JngvFSxKnYAZNpzBI5Ld7s/yP3Wa9UlkJubYiVbS3SRZMvafha8m9tjt87YHTUaQjLIzlde6I4Z+BPGMzgYzWfyNdUt8BCJJQ7eNnM4UgER8ZSg4TbKm6UloSBltnAFzfe+cWbsY9ZibotmZOF7An1nEJ7TcZjczWse4Niaca20RfQHdgFABk9WpTGMR7VyZBOEp/VHw3jle5W9IfEBkU6VDpSz/mkXzVQ81XKYL2zboaGoDfAO8d34PDw0wbj3mUtNUyuEjFqdFc4ujGz8E00ew4AoIZkbEopnu84iPuP7hAarKJQM6uWE5WN7S0sjyIYHwKlFI+f2IMN3Yfxp9atBn56LhiNpZ7Rtn7VO7am9hOQFQsicnYeUkVg4AOqDKow/EqNHny2H4YFuRmGU2TZf17r+gEi8ijGY73YnUWSIWD0/InQF9yPZ45/Dm/2/RGd4yP4+o6n8MM9L5rfL2M5EULhstg5BR0CsQc/F6+4P8obBLVOYx6OBraAVigexStdrTjuz676syzg9UcTRpeGKYUrszqXJ8Ni0pKUiuSn3pA8jCMjL2R1jTON8VgfOvxbTWl2FpK5n5E0lUjTJ9lqogXZGWkKmdh88MuDm9AbGkWTx0gT/efxXfjp/g3425HsVMEAGCLOANDh34re4H70BNUosLZo0sNsAajPf9o92IFDI+YLDzPj/1QhGBtEleMkCq0jyW2t/gXYO3oZFFoq/A7JkGQrWgCMRTu5eSbKjMnsQtus7fSHfHiz74+GQoes/LWHqbMwq/RaFNnrU+dNUHT0hatYZCNtCgA17oW4vPH/cefPB+coOpMJgYGvJCbCAptDaJz/5uCrKLb6UWY37OIgJbmt6Q18mwnnsMQ+yNEwCpjOZgbWsHdbK9Jm7Wc7cfcER7Gppw01TvNO0B3chbqCxXBZS9PKSW3p+ZWhOixr+Ibiw3ij++ewECtW1/07x8dWKDVdLCmU4sf7XkJHYAQldhe+ufw6WPPkLQYSRZOy4dmG46NwWosN2zTwVUBZZaMT2NgpTia1CjjoouGtuSAVgQjKHoOB3zrahwePqXkCY9Ew7pnF6ymLJCvZpDCRYfzE0Y+DQsH88lvxWm9mIzgb9IYbDNvKXV68PngVFCqhxnkC3qJdac8hK3H4Y8aJOChHhR4YCmqgybCSb2FZNXzTGZzZGvhsxdQBnRKPhkJbLfyx1CIzU0VjANg78ACGI8cwHDmGQ6MWdAbVvlHLONg29V/D3G+q7zgtEiySxHnwCTOhijz4w+HjaB15BlMKVnBhdRZjsVQ43FtcjVpHm/A4gM+1ePDYm3i1Rz32eytvQpE9VUTMY6vkJOyq3IvxTGchlpTyuRJheYx7J9lEgaYVX4oih3FCXlz53qR3cU6ZWs1ZpO6Ujrt7tmA82ounj38mbTFE1oNvDnMPvtZfAGOSrUbRaffzuRlmmAhFZzAcwO7BjozUkg3drVha0YiZJZlrHxjlcdV8qXb/a9y2mByERTcXmMlijkTaUe2el/z8f77X4S00/91xJT2lLxgbhNNaklHJJhuMx/rw+NF/wxz+pyAsuxCSY+gKAU2CwFqma5t5+A8MPYpFle8CwDuV7JbCZNK8aKyVaQybOr+DiOxHx/hWrK27F25rOZzWYnQx9YbsUur9uW0V3H1mQz/cN/hgxmMAwGUtQblrOpZV3wO7tANAfmpo5zz4kwmBgS9TC4rtLtgkCyyCsNKJLBM4COIYi3ZmfGHljh7TfTaJXYlm9kyzYWmRYTO95PLk33Eazkqt477Db+CFzkN4pfu4+UFUkx3krzmjZD0qXN7kZ71xD/AG/oGhR9AT3I3OwA7s7k/p1j7fcRCf2vygqSJCT3AUHQH12iPREHqz8OJrMqR6DEdULmQ2yVQPt92Dl07+FM93HMRYgn/MPneXJeXtYH/nYFhs6AGATVAhNdNA1OI5YFgEvDmY8mponnEWo9GThm0sxUqfEwCkBtq9g/ejxJZZus1mWWXYRlCKA6PLEFXs6A41YjhqDPl2BEYgUysoJHSHm7F96KK01/HHQkI5vGA8JlR8olAMlZZZPqmWsLu517zicj5872QSK2NsXzH1e7im5Sdc3xQnBvNgvYAj4Ve1u+KOkSnjBWNGoiKbatDZScrLKZl68NWF7uvdP0bb6It4reuHiMlBtI+9jraRF7l7ZSfWOo/OQmDQG56CkUQY/Zh/IGncA8B3d/PJd6tqPsZ9JrBhLFaO1/p5xZeIPKoz8Pkk3ssav4VFle/BpQ3/jTu8D+D2mf/AipoPCe9vZumVWFt3Ly5t/AaKHeoCVOShnEiuxOlCT3BvWuMe4Dn4ZjDz4D949E1Oq11P0dHGvde7f5zV/U7EL+93GAAAl2JJREFUwI8kFhoi7z0AVNi7oPWRH+w1j3Zp6Bp/EweHHjFs39l3n8FBwkYENY87u2hnMRzmx5WoHDZVmwKAmGzuXPMNP4lHj34YTx//dN7yjBE5jr+0bsVfj2zDyyfFkpDaWDIeKxHuzyRvbNZX2OfLLphZBSeRiyscH03OUeOxXjx74j/w2NF/Qzg+ip5g6jxWxoaySx6uH8eUAPqCB3NS69Kr2mnQzlHtnodSZ1PW59Pj7B9R3kqwGA1cC5FR41I5z/qHbSWa1ylzuHFn7zfx5LFPonOcr+hqkyz4+NwLcefMVSi3d2NWkbmuriaZCfAVKKeX3CM8XmK8cCJPcBNTgj4Q68cDre/GLsaQ1oNSimP+QdilMCrsR02Pk4gVcSXCRQxumva/WFZ9j2mHYK6SDMEdHk5VwGwdeRavd/0Yx8dew4PH3kRYjuGZjgNC+sS4jp6RjYFvqHTHYDh8HFt6fpHxHADQG9yIh47twB8OvwGAT8JyWRkDn/Owm0d1hiLG55yJXy8R2eDBr3AWcJ9ZlRkzA/LA0MM4PrYJgNjAZ7GoVDUqrWkK0xBiXETFyHvRF2nA6wNXwedfCvZZaGoRf2nllYjG4yWIKubt6OWuQ3jkuFEKNhgLcwWNNPzjyHbsG+IXWbwHX30+R0bN5dEmkjvC1n7QDFE2JN0vuOd0KEiEodnfQKmuNgbzWTPw2YBwWE4t+FgvV0geRig+jLFoJwCVk/zEsU/gte4fYWvvr3BsVKW09QRH8czJ1H0X2owLVQ1RxYmwHAOlFN/exRv0/eFxTmqzyj0H9UxOUV2BuhCKUQf6winv+2ikgzM82b4HAGXOZswuuw6V7lkA0hvnErGisXA1KhnnhE0y0uQySQOebkTluIHOkM0iJBsPvqjYVX/Ij+c7DzJHUcTkDlDahXK7SiFUZPPiTk0nbWg6acOU7lQ7HAznHxXpCo7AIQXR4Bbr+88r2YJye8qhFpUDaYsrvdL5LdNrBeK8g0PzPj9wdCc+8fr9+OuRbabV0CNM9HBH7//h/MrHOSrwm8Pnc8enywfb2XcfAJXukm1BQj2eat+HjT1H8Ep3KwIxcVJpPGHgD8fEico0A1NBSmO6ylQdC9hkVzb6va33dwL1PeMzkWkEB4Ye4+Z2K0nNdXZLgSGS8OLJ/8qqiJWGW2f+BXd4HzCogLnzSOAW4ZyBP0lQiCz04EtEQYlD9WhYdMbLihqVL+2PiXloLOJUXdH3Bl/GzMKdKLKpjajY7sK8sjpUOgvRUiDmtWvwWFMNnnDKJBLKnTMMx7NGQpGu8uqK6g/DYTUmax4cesRQQU9DRI6DQMaaiqdRbDePXMSUEAZ0KgC2RIJcNmFDzVhyWPj7O+F/DZu7fwwb8x5CsvFe+0L8pDAYHscrXa04MiqeXGRFSXpZJBDEFH4xdHL8jYz3zMIuhbFvuBvHx1KLNQtxwGVjBwH1N4biwxmNw5e7+GcpkfTKMhTEYODrqWH9oZSH20wZYCRyApu7f4KBUKupZBl3X5BRZjefwPXynhZix4lxf3IvALx3RoorHVdUPfvjgiiZQs3ZicREtWcgJJ7whqLjGIrw13BaQsnQfigew8nxYTR7zBOGs/HgD4f5yMlwRPXcsRx7SVL7LLsQbvdvzskbZ03I2XEGvqH4XeqzJgDAPrdix4XJv9lJ8MjIc9jU+T3uXCy9aVvvr7Gp8/v482E+lF1odXCLilb/AgBqhLQ9MBNRRTZU6NbwjzZeAWx5zYexoOIOXDTly3BYU0Y9Ow6rESle1WNhxbthlwoxv/z2LFQ+0oMQgkrXbN3WM6MAJsKbAyfx6Tcewrd3P8clZWaTS5QNB18SUHSO6ShsZfY+tA7/AIHI7zC/5A3UuY4jHPuHYW7QsGKPCyv2uOAOpc4dCGRvbLFQqILfHnoNhbb0qidT3Gq0aF7xZjx05E48dOROg2QwYFQVy4Tn2r+Ar23/BsZCP8HMwm14pfuwIaLN3iugeqEPjzwNPfM0pjjQEZzGHC8eC/SLuUh8DAqVsW/wITx/4kvGfDcTaEWhJMRBIf7dcUUdp9ioILc/Q1dIt9C8//A7EafhpAKYhdiSNTkAdUHUOsJX1T1pIkcdjvORXJYF4bAUTAqNCQCmFKzgPosKe+aDcwb+BKH1pWDhEIiktkqXtQKyknrxhVatRHfKkxRVCvF6n+pRbw8aZa7Soc51IsEZpclJzUIIHFL60KnHwhj4usl7SdVdhuPZSWxZ9QeTf1slF5qL15ny4I77Nwm3j8XCKLNnHiTaRl8weIW1jqRXpRBD/W1mnFZ2oaMvThWWY/iTzuP74LE38de2bfjB3hcNRoRCFRxmDH+n1YY45b2N2Ux4LKqcaoi6dTQVtpVpBBJj4FJQtI2+hEfaPoTtvb81PVdIduPvOgPHbrsIEdkhTC4E1LahXzToIxQbulMe60zl1p9v/4JB/1kEpyUAh8V8ItQP6k5LMQYjqQHYbbVhRVVTkgpHoUrclTuMJE+z3w7w0S0W/cG/C7fPKtyJCocxfN7iUWkv/zi6A9/e9QgsxJxHyT7vdv9mvHzyGwYP2pv9xuJgMo1xBr5m2OvVOrRFmKzE8GrXD/FC+5fhj6bu2cGFsNU7QhoD38m8J6fFSJUjTJvXv7d0SWgA0DG+BfUufgIusFmTCwiFEnSGWrB96CK8MbAeMepAVBbXoQCAfcN8YpvLWoK55TehxrMAUTllsEaV1D1H5QC36CKQsHWgCs/1XII3BjKLDmSDi6Z8mfucr+7+qcCvDm5CVJFx3D+I13pTlKdsFqIzSi7LfAGueJV6TpaSBQDzio2OEYoR7BfIJ4/Er0A4EbFj1+f95a2G4lLZoDOg3os9Kx19igqGGntw+FHDEaE81FNmFu6G2xpAjfMkqh0nIVNxdFMbO074XxXujyn2ZC4gAChQ5zxKKR469iZ+tn8DeoNjBifMWLQTJ8Zew96Bv2Mg7MPjxz6WUQ1OZtpHurE8bmLYa5AyzJmZVHaOMLr4DkuRwUG1j1Ee6wnsxS6dAk9yny56b2Xag8iDny/mlr8j+XeBrSbL2kOZcc7AnwTIlhi6GlMc1hJHE2Qm3FpsH8TBoceg0BSXLxh3JI0kmdowloUXX48Wz36sq1UbgkQkKBlCvC4TaUwKggrXDMwqvZbbzhr4pc6puLb5Z7iy6fu4ZcYfIRGraePe2vNL4XZ/LAynQHdcBFYxoL5gWfJvqyC0rQelNO1kyS5uQjI/gL/Uac5nVyjFph4+XPtA2078eF+qUJTLYjMEF3OVxtLk2MLx1PuaUbLeoEuvPmcBn1CuQyBeiJhiw6ExlY7AKifEFQfeGLwCrw9cCQsxJqVKRDF48OM6abVXe9qg0DhGIx1Zeec7swj3WkjcdJHaVHSBgbccU0IIxVPeqG8sux42yQKrlGqXcUXBYCT1HK+fqioKBWWecsSC5OhJtUpij1i9W6VHuSx+nFf5lOCIVKQnWRCNytja80v0BHdjU+d3ucXTcOS44Qys4oPEFJeqds3jjtPOs7HrYZz0b0Z/6BDnSbfqqG8SZM4jr6fosLAQjdLDthFWRjO/acbChMMJo9CjRl8IxuMliFHVEIgpYuUjDSLljK7AKIaYtsEaHTElwFHZKIDNfccAEGzrP4GonB8/mYVFsmE54zjJ1ct7qnB4hHfCaMYukFkswEIcHGXMDCKZzK5E3hMAOKUAJBMFnC5dTZZLGr6KsVgDfupdjINFZejRLejTVbwNxPoTylF8MTitIKSNkXaklF8EAqqjQD9esEncgNqnIxmcIJlQ6exM/u2xVmJZVYpWq9A4hsJt6A4YaYWA2q4VrhaF2nb3D3fjuY6D2DvUhd8cfNmQADocOY43en7KbRsKm1NrAeCVrtTi3axmhXpPqfGGjS4AwI6hCw3zjx6ZotaaEh8gNvA1R8iRkefxcsfXTc8TiW8DO8faOA5+waTlzbisJbh95v24ftqvcU3zT3KqQZMO51R0JghKFOxcez/Gi1N88TLnVHSOHwagNobB4H0Y1NlAeoM+LLtRlCEcqEejpxULy1SDSCLEoDO7behiTHG1odalhvbtlpTx5LIyxhLVQuw8pUXPCS2w8yoBbNgrG/ijYa6DaDg4thSzi/hBmzWKczUQKJS0WrSiBEgNj57YDbVDizsYa+juGXgS0difMbNwCg77FwMAXFYb9Ea3vqT4lIIVphVqNbgtY4jT1ABZaK9T7z3hX0+H0ZiEg2OXJI5Un10wHk0WW4oqMigkyFSCJBVA1s3ZEhSDVrJs8NxQPN/+JQyF2+C0lKS9n2zhtIS4JCYWCypuxwsnH+G2heR48lk4LFZ4ElxwK7EgkjAIh3QRF/X9qMldlQKvOwDUuY6hO9yc9+/gQTGzcJdh667htfBY/ZhRqEZpKFUwFD6KXf1/5hanI5ETqLGqdJS4wBPJquqw3Of6Ar52RUgehj8axt7B11GZ6LZsYrS+mrVVinNeP4DASqRkJGcoUoUyhxq50ugWfFSQldHML4ztsoxjPK6Ok5UuKzT3iCj6smuwA7PSqJgE41F4bCnj7JmT+/GwLs+CNfD7gge58S4q8/1hJBpClUstZtYTHMVXdjwJAuD93jVYUdWUzc8DwI+hsbNAB39L3zE8dPRxTC/oRHe4CYF4MXwjKe90Jg+u3eLJyjhhDSPN4BxhCptNK8wc8dNQ4fIiJB9Hd0ExfupdjKnug2hGai7dO3g/phadL5R73tb7W3QH3sSh4cdxw7TfJHMtxuNGA99pvxzhMO8lV6hkiPix9LjW4Wexq/9PBrpoc9GFODa2IfvfyEQIrJILxUzRsP7QQTx74vPC78UVVVyAlbWliefNRrZKbc/DN8wv7ETyus+3fwF3eB8QXqttrB//OJqaxx2W7Npz2/g8DERqQVGBsZgCCktGAz9T1JiPThYZ1ItskhOUUmzr/U3G+yu0jsAfLwVAdRx8dSFZbG8QikyUOVoAQiDBioGwmFbGQq3ZUpbxuFxwzoM/QYyXdnPGPaBmQJc4jPx0FmGZ9zL0hBfBLqkTxtTC9djQdyP8JhnmLI6PPgYAkBWj6kdEdqEz1JL8rOlUE5Ckrj4AaM45m8RfLxMPzmktRqGOm58OY7Gw0EPbG25E2/hcbhvbgQlX9TEzxYdCSeu1YSsFsxQdmcawqOR1rC5/BsU2sSTosx2pxL/9g/fBKsVR5zoOd4L+VOEsMHh0Osa3cJ+XVN2Z8TfUuo5DZib8lAxg5i4bUxxQza3UsayWL+t9tFuMfHxCKFpHH0GHP7UI0VN0im2DGAqrofuJFO+IyCkDx1t0ADVO40AJQCjbFpFTn1kVo0A8NSlv6z/OfUc7Lp3KRKFtYt42FhYSF0bORmJVHO2FQsEL7V82VLplI1k2QaEmVr2HLS4VkWUMRlLRma09v0ZvyI+IIl6Uyzpt7CLrkM5gB/5t7jo4LTa4rTb0RaYk9xGi3iPX7hmP/7hAcjQbaEUB3zl9OeJKyoMZEyRIb+g+bCiMxUKfa/NEuzFfSeMFA6oqGJvgHtE9n+cThe2ichxf2aGONRTA//qyk2/UwCbbxrOIhJkhEh/Dm31/QitDTcgVh0Z68IfDG7Gw5FVMcR/F7MLtcEhBSHgTPYG9eO7EF0ypDBrsWXjvAbXOgIYDg4+ov4EZl8wW33pc1/JLxBVwqlcihbgnjn1cGMXpDryZ/LtrPJXzFEi0WZaKtqh8tsGDLxHFkLNjYeq3bO/7HeI0wiXRVrvnY1XtvwHIj+oVkUfRNpZdboHdQvDr89+J5VUpO0BbUDkTY2GRbdBQnweAaS7dS507hc/yyCgfuTCTF+2P8PxyCgkjsUpQuEATTsVMSm8Rnb2zsuaj3Gc20dVjq+AMfnVbFQImsqN6aNVrbSSaZJbFFVuS4eC2iVVz6gtXYP3Ub+Oyqd8QyuxOFg0nHc4Z+BNExGP0uruspRmLNMV0HLRV1YtxTfOPcXXzj7GmTg2/KSZeZBbJwh8wdqY4tUFmkgktiVLyLqtVqJBh1VU4DcYzJ1Qtrb5bmKCrL2xEqYJQPGJIWtoyqPI1e0J8p9c0awE+IUufbS5EhtV/cSJB2WUZx2jkcHKwah1+DiX2XjgsYcwuUkO2DimEZs9+lNlZL5bx/JoR11iQ/v6mFV+SVYnzBncbt5jRDIFsvGPtQeP7GIumjB+WruOyihdobSOPYFPX95IFyaKxDVha+hJKEzkUZnSvbKFQCcfGZ3FeHisxL75mITZYLQu4bccDqSRF1vvH4qmTfBGYheVTQEAgZdC21vDOacvhtiZ47UqqL5U4ssubsRA5oyIEAPQHDwk9Zqw3X5TgyFZvZGk22wdOwGVJ9aGIPIqIEhMaxwAQ0+W8TC/cg2saU4tuAgtmlVTj+6tuwrdX3MidhyDxDllKT+I3t43145mTrDJK9pjqOYxphXGsq52BEDNh++MlwuNPjqfGlqZCftJljceoHBcW+0nHC47owlwbE1S9dkECdy6FhGyMB38gLFZryQYHhh7BoeHHsL33t/ib7xa0+zfnfI7nOw6izN4LKfEeC2xjWF3xLGYU7sHLHV/PmDsBmBdj0oNt18fGXgYA9CTFDbKnyHlsFegMjCSfucNiNaWBaoWktPvc2Pkd0/NqDg2HlDpXga3SIMNb4eiBpPPgyxmegSbZ6I/lX3DKZyL4oEedR6W32pixQctvs0vqeGZWQE4kQw0Aj53YjoNMVEdDID6Kamc7qhwnsabiKcwsTEXIukONGIxUI6LUoyO4SHheti6NkqENNBddAC3K3lS0zqByxcJpLTEo2wyGj2Asy6JTjkQUp45hB4dl9cNwJIjdw3XC780qvTr594VTvmDYv7Lm37K6/kRwzsCfIKJOo6FTbG+AKwNtIZ6YIB2SFeUOD9bWTIPDWpSsXHZJnZczzs2QSjrlB4vD/oUACDzWlEdFM2pcFjvPr010FAvhE+1kkzrfQ5EA2sb6QSlFrWchLp/6LVzZ9H3++sNPA1CN4Xb/AfzzyPsxFPwaCpgE16PjcxBKcKFj1IGwnDJ8B5jJhPXgz6+4TXhPLCgoatwLTffbpTA8llGsLH8efYHf4I2en4FSip7gruQxmudmZuGbmOo5jAUlm7GoZCNsJGLQ1gZS+rgui81UhQVQC+Zky9+1S6lB1JkI8WYqdDYUrUJUp+IDAEcZhQq2FLzbKh6cNLx08mv4m+8WKMprKLSNYmHJ6wAoJ7maK04Gp2Fj/3U4EZydltutR627GpsH1sMfK8GJwEzOi5wNnBYbXFYb7p1/MWaVXWx6XEyxYar7EO6eEcDq6jp8YNZaAJTzSI1Gs2M3WkgMLp3BEYyrbZ797WaTKWswZeKdshSdqCxzERwAuL9tK8fFBYAT/kQhNt3iwWkJ4byapuRnj80JiUiwSRY4LFbOwJcSShl85Er9bfcf3QkygWqiDa7HEYwNcvKD+ugnoI6jG5n8mCumzEEzY+SzVDyziEI6Az+gS8Zv8KgGhWixPxjOfvFrtxQm/47KfoOnMVscGn6c+/xa1w9zPkdUkTnZx3yg6fzniv7QMIpsg6h0dOC8iidy+i5LC5lbWov2gHjx3R9KLTQPDT9p4N3HlCA6/FsRjo9CpgoIFC4aUOyoQ6eOLw6o0VYWqkyjgiGTdmCVHAjGo4gJoohlTuP59ZCIFfuGsntP0xL1MGwS21/VhfBwJAC7FEpSeLPFFNcR/FNQQyYUfRizi3ZgTvF2A104pjiwd3QN/PL1ybwZPSwcbSu9ge+xVWJd/eexoOKdWFL1vrTa89NLLjcsuuJKiIuqpFPF0ub2OaWpvhpRnMmcvAMjduwaXiv4XmrxXuxo4O7xvLrPoNiR2/yVD84Z+BNEzGHsxAX2arhMwjbJ71Eb1tXOwI/X3IxvLL/OoDPeUlQBWclsRGhKMezkGowXoCvUgjXVLZhZnGpEmgd/akEZzxtMGBptft4LymbE7xxox3d3P48n2/fhqzuexHd3P48XE/KLg+EABsJ88utI9CQopfje7ufxwsnvIKoYn1NPeCqun5ryyo7EUjrRbElnloNfZE9vkAJAx/g2A6eYhU2KYXl5KjH2+NhGHBx6TKi2wIYuS+yDaCnYh2P+QYzr6AA2EoOFSFhWmV7eqsazAC93H8bR8TkAeFpAOhQk+aPpu+xYTBxBYGkrUSX1bDy2zM9TjwsqH0VLgVhbvcDG86Dnld+MqYX84EeYHIf9o7w8WDosKK9HRHFjx/BFOBaYC7M8ifNqxJOkZuTNLKnGTc3GYlfanGKTYmguOIi20eewe+CvmF1SAyuJJcOzErGb0tc6gzx3f06RMbn4YCLxORvPfjez6MykYDIYjmD3YAdaR/s4o0fDVPcjyTFAwwudb5qemzWILPoEZ26S1sYN3mkgKwqO+wezclSkw6NHP8wlcs8pbTIcE1H4/j63tBYOC6vLnzLQ/9omTvhOd5+BGG/ga/ksQYHMrm80OzlBwDieiSpCx5WwkBKRCbl+x0oklNjzk5XU0Fy0Lq/vvdD+SSwp3Yi5xdtMk9b1qHLPxXAkyMlrziyuhsumlx9VwVJO9g4YFbHe7P8jNnV9Dw+33QNFicMhhZKJvi5rKRyWQsSoAzuHLuC+V2IzRnEGw234xQGxLK6F2HHCP4Rg3CgYsbz6Mzg8tkj4PQ3Lqj8AJUvHiD1B7bRIbOXpDpwYew0be46Yeu/Tod59jLMNAOCVrsOQkKaQX2LesklWrlKxhltalugqFmduu3UFSzC3/EY4LIVw28wrTbutZcK8tV0DKZpec9GFeMf0+wAYKYxWEsM1jfMQZyqCy9SKH+55EU+27wNAMBKrQkhOvc/1U43Rodll10MiNjQWruWEQ04lzhn4EwS18BOm9uI81vRa43HFjnKHBxKRuNCUhnmldSi0ZZboGo/1om3kRYTiKc+PZjjcMW0Zx8tVPZAUTUXl4CdjtRn88zg/uUTiKe/Frw++iraxfjx2Yk8y3P3A0Z3YN9SFL2x7FN/b8zz33XB8DK2jfTjq7zd4MDX8ZM1dWFyR8vgEZXGYLZPWrJ73uaXn5xgK5Rbu3j3wZwzoKsKWCbxZtS7V06pP3vQWl+BLi69Akd0JsxBzqaMZ5c4ZODo2gPbgTOwcugBbBi/DjqF1GI5WYjhqPkhpiayZsvbNPOIsbYCVBnRYcpPwBJAM4YtQ7Z7PfR6OOlCk8+qx6hiD0ex5qBKRcEFNZt6inKVhM7fspuTfccVq4NcCqtzaeKwXS8tT9CGJlJuywFrHF2Ekmlrci/j8/ri2CMs8SbM1BjJ58INxBb84sDHpXQvEC7n9LkvAUJUzrvQl7sR47pFIKqqgT3TnKTpBUEoNtL+tifwHszofMcWGN4fPx/ahi+AU5IKwGGToKwvLpyXVkMxgt1iTHGMAeK4jtVjZO2QWmjd/H6NRfkGvcfpDAuUefzT76Jbec6inEhwf24SHWu/Ec+3/KUxwlWnMNN/okbYP4OWT30B/UFyJlcXR0Q0otf4ja5UzDRZiw9raT+GShq/jxmm/Q2PRmqy+11C4Wrcl83X1Y9vK6o+gWyetuba6BTOKqw05XUCqOqxe9ECEQPRRPsGWichHdBFSm2BB8kb3z9BposFvkRzYMdBuiEStq/8+DoyMoivcbHAUsKjzLMnKOaDemzNx/zz9Vq0ETOG2mtMi04FdPA6Ex/HgMbFEpwYtYd9uMSbQ/mj1zbi0fhaXF5iNgc/CJrkwu+x6w3aP1ZwO2xVILW5e6+3Ej/e9DgUlgnNH4bE6EJNT7UGhElrHeJrUobGlqPUsxvLqD6LM2aI/DWaWXonbZv4Va+s+OWn6+ZlwzsCfZGh68nUFi9MeF6N2lDrMJR+dVhucluy8KVt7f4Vd/Sk5q1RnskIilqTqBCFAub0HBVaHMJwOAP5Yiqbzl7ZuvNzlS0sp+en+Dcm/fYznoT+0HweH/oSlpRsM3wGAAse1IIRwYbmYIm70euNide0nAKiygNe1/AI3Tv9fw3f0OuD5YEGJOY9VP7HXe5yo85QAMDcTLm74CgghCYoMwVi8HDHqgD9eht0j5+HA6HLT62nejUwUHbOBnzPwGW+n3WLB/PJb054zF7QUX8hVQH6yfdAwMevVVmK6KEapo9kQCdBwZYNx4gaAWneq3U41yYOYX8Z7SxsK18AquWAhDuwZXYOoSQLqE8c+AZeU8sa1B8Qe/J6QqmyRzhPssqWkaLOZpCOMjGsm9SRNJveoX028bRufn+5wAECh5YVE0p3RwGejYPqF5byyZua9xRJVp5n3SgiOJzyr/ngpOoPGCe/g2DKMxiowHi/B3Iovo6XYnDalJXQDqqLUlQ1z8J+L1qf9bSwVR1O/2mdq3KfHC528CobW/1mZTQ36aEImrKj+cPLv8RjvVNjc/RMokDEUbsOBIaMRdXxsU7L6qB5heRQ9wd14qePrabnxlCrY0vNz2CTz4oMizCm7MWnUV7lnw2nV11Iwx/LqD+R0LQBoHV+AzQPr4RtbhNcHroDLWoldgx3J/dOLKhNznoTOYIthXIkpQfSHxvHosfszXism78H0wpTDi1XB0fdvkYHvj3WZJpkCpdjUc8SQhxdRXMlkYbM8E0CtUZCtgS8l+q3e8QIAje7DcEr55VLZmejY0bEBLldBBI0aqLfbXRZbMsdJAmvg507rW1T5biyufC+37bz6z5geX+VMjQWBuIS2sX4EYsZcrhJ7P0ocLtR6UiwLPdURAEZjFbhwyhcwPZs6EKcJ5wz8CYKddKv7L0KBTfVElTga0/LCZGrljBIRWoqNNILs7in1WiVCkgkhADC/5A3MKinljKw405f2j61AR7AF+0ZWIkYd+HvbDq6QUzroPRvB2BYU2kaM90eBYofqwbFJjEKOyXiol9lrKjofV0z9Hq6d9gt4bJWnbTWsoczei5N+3msWirNheaMhVuNemJTVipsk4ZlxE8udKU5pJs15s4Ff89pTSrmQtl2yYlbZdaj1LEp73mxR6mzBzNJ/Q3eoEftHV2Ak5oJF4r2z3bqE6pjOc26T3JhadF7yc70nJflY5vQIKTj3zEp5Ds83oejcPo0Pi5Y6p+L6ll/ihmm/xlis3NTA17/P8XgJ+sL80Nnmn4e2cVV73vw8ajL9LS1L1LNmEWYPxUM4OjaAzsAIR6PpDjUajlV0OTMRxW0oU68HQRhHR182VL8EgBjDe9cvst85fQWcTIK2P9rD5Z5E4go2dKfyaFrHF8I3xjs9QowHc9dQJ17uaUF1wTewY+ga0/v12KpQ7pwOQgiaCstRajc6Sd7RrF7n8ikpqsaRsX78pXUr55AQ4cCoOHSu71chOQZZUdATNCq25MLBB9TfpKHdvxmUKhiLduL5k3yhp809qhrXsdFX8PTxz+LIyPOmNUdYKDSGkcgJjEU6cWz0FXQH+jmKBVtJOBfINAabJXNdEhEclkIsrXp/2mMuafgalld/CIBKO+0JTUVEcaM73Iyo4sKW/uN4hWljjQVqpEgiBAqseG3gGuwdWZXcH1OC+HPriwB9CdmgmBGEcFrNDXy2XgOLBjeflGyTPJhXfjMOjqj3qe9yR8YGsa1f9Sr3hhtNi/HtGuzgZC/NEJFdybZV4ijH9iF+Ad1ScCBtRfl0sJIYKKWglKLI7swouqCNTXqlK5ZGR3JIsjWDvmCfmaNID40qK5LxdlmCkOhh1LpS4xVNo8J2NuGcgT+JILqOz2ZJF9sb0FykGuz7RlaipbAS9QmPrxnml9+WTKK9aMp/oSJh6DUWGhM6WChUwl1e1YAeigQ5Ax8AnjvxIUgkJa8XUeQk7SYsF+DI+EIMRFPezmwN/Gz55IQA1oRhX2J3wZ3QJvfHxKt2kQFf6myadM3YbLGg5HX0B/lKm6NcEaLU4LRr+DycDK7FefWfBgBs6Dqc5nmKDb7aguuyvjebSeVFzYOv5wfbLRZYJQcunPJFbB5I7xE1Q1SxIxAvRG94FSzEhq5QEXz+peiP1CeuMRMVLm/y77F4ue77vIFvlZzwll6NKvdcVDi9WF7zIW5/UwH//RubFmGKp5T5vgVNOi9+g6fUkOei3o8HdosHH5p9nmGhYYaI7MR4jJ9IToZmJBdogxFz2pHHVsFQRzIb+MF4EN/Z/Ry+vvMpjqLj8y8xHGuVjIaGvu+LYKYFzebN6D34xXYX6jz1zHVGOZrPrqFO6BHSURLYhdCLnT4c8w/iH0d3wB+3YUPfjTgRmGM4R5VrNmcIfGyekfN9Sb3a1mrcPC1hY09m2l5fpEG4XW/gD0eC+NTmB5M0JBY7BsQJ02bQ67O/ePIrePLYJzEQ/AG3vcC6Dbv7/4o3en6GkcjxxHvLzpMbU8J4vv1LeKPnZ7j/yDfxxW2P4cn2vdg92IFgPD8jj018ZtETHMWfWrdgR3/65yCSDtRw84w/oso9B9NLLkVN4ZexdehSQyHHPxzmF0CaV5mNCrOJ0/5oD2ocf057T2Zg5aD1yesWIo4WN3p4A//mGfdhfsVtcFhVR9h4nB9DjvkHkx58CgnbhswjWpk8+G3jc3Fg7Lzk3Omy2tBSZOxPyfNR9TtmzJiowjtlxmP78dsDX8I/j9yNgeAbmFO8XfzF5PnV+xjT0dfKnakxIZckWzPo1Qs19Tl9HpgeWuGtoI7WqOHg0K+5iKbIg3824lyhq4mC5SPr3GDV7nmYW/4O9Ab2YWHlu1Dlno0VNR/B6vEh1HtKhNx7Fm5bOW6d+dfk50qXFyOREyh1tqCl+CJs6PiG8HuVriKsrGwCoPLjSqzpX3NUkTEcMfcMp9vHwswDLYKmM0wIQYndjWB8FBQWEFhAdYpAk1UO+lQiqvihUDlBiVKgTSsh2YO2cXdSx/5vbekHwlLXXRgO/Z7bdt/h7fivpQtQbHehvmA5VxW2xr2Ak38zKy4SUeIYjgTxx8O8Jr+VWTxFlPy8cV2hZhwPzMHsEtVQea2Hr3b4XOchfHTONyArcXz0NWN43GUtBpCKKtgkJxyWQlzS8FXh9fSG+mVTZhmO0ctmWqT0bWhxeQNGwzPRE8hsnMUUJ4JMJUY9hqLViClu2ARha7e1HC6LaojrVVv2jKzG7KLtsDGGupTsC/oJzzh2SLp+U+UqxPnVCzAYfDbNrzFHNI0HH0jJ/QFAOD4Cp8WKgGbjC6ITo7EyRBUH7FIEwbgHcoZy9YQYuft6Sd4pnlLML6tL8urXVLckDYUKh3m1YgBYUt6AnYPGuguBeKFAS934e9JRcRRKIRGCQyM9eLbjIBo8pbihaUGSMsFCL5vbHzLnzB8Yeli3JTtD6Ojoy4gmtMOrnJ04MBbA0+3bUOnswqV1mZVbACCquGFn2rSZbv+fW7ehdawPr/a04U5lFVZXG+lZAFBoF0v03jTtPqbuB2AhbmSzkNHoi+y8yjqd9PSnXFCUUDz58Ozz8dCxN2Gx3AxZfjBxvdwoWRolZTxegvbAdJQ5+tDmn4/hGD/2LK/wApTPbTviV6k2mQz8k8GZnHccABaVT0G7SbAmTm04GZyJrlAzKCW4oIpXZYrSMtiR4qxrhSmjCnDS/5e09wKkDOK4Lo+EdcykS7KllOK+w2/guH8Q756xAjOKxTk7ER2dWDvn4qr3gULBSKQdY1Gj80FrJ0fG52OpbQMIoYZKyjIjJayPlgJAkc08cjscCaIzMIJZJdVJ5+bpwNlvOb2FoO9yhBAsqLgdl039BqrcarhYSoSWbXm8ZItkR7lrBiRiQY17vmlJ8HJHUbJh6yu1ihCWFbSN9Zvu1yvGmCEkF6A/nJ0qC8sDZwcii2Q0Mlk+/VA4gBc6D6E3qZmcHte1/DKpkUtI7oox2YNylIZ8UGJ34fIGoxddoRY8cFQtwrKi+kMotjdAIjZc2/xzzCi5kzvWZuJNOjDcjc9vfQSDOs5wsT01KF1abzSUs4FGNTk5PoyB8Lihbe9O8GR/5+NzGjxWOz48+3zMLeUNDKvEU7308JZUY0XlVJTYXXjX9OWc50eDvt1f3TAv7TkJIahxZ9t2HQjJBegJNYBSoMZzNbdfgQXHAsaEr0UV74dFsifbuz5yUe1eiC2Dl2P7UIqaJyVUb0R1K3rDvMyafvyxEgmXTpmLwUj2xehYsCo6ouRup7Uk+XdYHoHDknrvIgOEwoK9I6vRHpiB/WMrM9+AoL+WuYxJ1h+beyH+fd5FuLVlCW5uTkU2Mi3qLqr3CreLkq1zkXMFUhGz/z30Og4Md+PZjgNoGxMXzwPEHOnJRLv/Ne5zlaMDs4u3Y2bhbrT7/5nx+zuH1mHrIE8ZlanRsA3HY1zy4aaeNsMxGors9Si2N3Hb/PJqOKz8vGbN8B6TxyXaKMvlTid9KoLHJl6MFNhU58XiigZ8Y/l1uGbqpTmdtz+Syq8qYCoqHw3Mx/ahSzAcMxqsUwv5yM7R8TnJwpXp2qNWINOicyDWuotxPCBu8xrtSKa2RKSE/24w7sKYSbJ8NtAM4publ3C0ukXlqTFMSmPg7xvuwht9x9ATGsMP9rxgep1APHWPMcWepKK5rKVYW3cvzq/7rPB70YRzMigXYfPgFXht4CrDMazykqhQot0idqSG4lF8feeT+On+DXhEJ2RyqnHOwJ9EZEqAnNRrEQlXN/9IuI9VZgjLsYyr/agsJ0tzi5Bunx5ZTdwA1lSnjDqt4Ib6t5F2MxI+nvz7N4dexQNHd+Jn+19JG8Yrd87ABfWfh8dWgfVTv4tLGr6GMDUaXZOJYELxRJ9Smi0uqJ0OiVhgJbyBoVBLkpvpj0loDVyLOPkk/tLmw3/v2oQRRn1nIJIyilgVERFuaFrIeRMoKHaPrOEKOqm/qyAtl1sLWY/HI/jitseYgjU8dg7w3tIvLbkSiysaDEVKbBkMfIkQ3D1rLb6z8kZcUGss6gUAt7akePve4mosKK8XHsfCqeNvmkGjlhzyL8Om/mtRX2icDKB7hzuHLsLs8isBpELRLGUlKjswr6weChxcmFjzIvGJyWqbOuLnC3/1R3iD2B8LQyIEA9H04elsIPLgs7U+wvFR2BgpPnbMubk5xb33x0txNDAPgXjmZ+20VqDYzlNmShzG3AMAmFNai0vqZ8FjM4+s6FHhEDtIRDkU2tMXLSZFiMhxhOMxjDHOEVFCrga7JX20YbJR7uhFmd3cqRNXrOgJNaA9MAOv9F2HsXgZ4tSOVn9qIbKg4jbDGPzgsTe5z+kEGggh2De6Bq3+BTg2PhuHxpbgtunG5Ntyk/ekx9pE7o1kQtHJBhZJLHOsb3e55h6MxKpVL7RvM/7UmoqiOiTz6Prqan4x2xVqTo615mIKNrSOq+OCvs/WuotwIjALe0b0CkYqpz4FAqqjGwfirqS0cz64ZMoK3DNrLeaV1eG9M1eizl2MS+q8mFOacj7wKjq895wtYpcuZkVJEXxjizAQqcGekdUG9oFZIjg75sapHTK1cYIjeogoOgPhcWF73zXYgWCijsbznfkV/csX5wz8CYJXtjh9Bj6AhGEkCNUztItwPG6qjZ48JjEZmSHfUvOm54vP5BSEuFAiMU7QCowJon0hP4ImC4/Vtf+Oy6d+C/UFqpHnspagyj0Hm/t60J/Bm7lnZA0G0nCo02EwIbPpYihRFKlEYr0u9SU6D6Kmra33YLODyZ9at+LAcDc29hxJGswHx5ZiMFKN7lAjusOpicieJkrktNhweT2vF91cWIHhaDVeHbgGr/Rdj85gMwYiNdg7uhqjsXJTPnc2ig7/53vdsE3z5JQ4mrjt6YqOZIuVVU24rWUp7pi2DJ+cb85lZZGtCgjLBVZgNXjKAHURsrr2E5CIG2FlFu6cdUNyX2NBKWySBTK1Ye/IKvSGp2Df6EoU2hwotrm4960a+BR6jXlApcRtGbwM/lgJhiJVOBnkDQJNLnRGcTMGI9klm4lCz2Zgn1coPixchDgsVo5nmwsKrE7Mq7gl+bmxcC1T2C87mNEgHRYrSh1ufGTOBajTiR1EZFGoXT2PWY2FZRW8AbhVlwAKAEGBpKYGvdTvqUa100hNYtEdbsIh/zIcDcwDZdp7V6gZq2o+hnX1X8Kfj5zAp994ELuYhftgmJddTLeooZSizR9CZ2gaTgRnoSc8FcV2Iwc6U64aoNIjtDmF7Y8ytaYtbK43Wjf3GeeUCs8XDXlgVmJOxxAhHJdw1D+AzX28Vvy0YrGM49UN82CVLFhe/UE4LeU4Nj4nyRMHjHkAALB5YD1eH7gKYzE1R0k/LrmsdlBIGBJIE+trD4R1Fa+HIjZhgTkzzCi5Ai5LaeI+7FhTvQLLK6dCIgRzSmvxlaVX49ZpS7nvsA5S/cIxk7NKgz8aRne4GftGV8MfL0NPkHc2iVgPIdktfJ4Hx8y16s2SnH+w5wWDUpe+ZkAula4ninMG/mTi9Nr3AIAL6v/DsI0djG5oXoj+SH3aiTsUj6el8kzUwB+KVGHr4KXYPbwWR8fnoKX4Zm4/a+BHZWPCV1RW+dRxXUfRpO/0KNUZjEAquWf/6EpsGbwMh/0LMRCp4WgOR/zzMRStNnhGs0UgpnrE7FxImSCmyAjFY+gL8bzeG3Ra3lokQ+/BZsOBoiI6EcWNvaNr4PMv5SZjtsaAHt7iKgOFYWlFY4LfTkAhoXV8EfaNrk5UGyZ4Y/BybBm8yqA0kg19YUvfccM2jUZWW7CI224T0LRyhVWy4OJ6Ly6sm5kx10VDpWtWUvnKrKIkq3GvQeTVJSBoKjoft864D3fN/m/MLU151z02Bz49/xKUOzwYjNbi4NhyjMXL4bE64LLaABBOQcNtGecrTzPPOyQXYMfwRdgzuhaKLqVK84I1F1XgsH8RQnF1crNJhfDHxFUU9bxTDSLZWTbxsD90KCG3yd9jRI5jUXl+1U0LbA40FKzCeXWfxrzym7Gs+u6cz/GJuWIlsnvnXwJCCBaVT8FXll7N0TpElaApCGYUVaHKJU7Cq/Pwi4QHju7EUyf3c9uCaZwoMcUoz5cPRqOTIzwwGBF7siksKHYuw1C0EvuGuxCMx/DLg5uS+/WFvwLxKLcAYKHnS5uhwOaAx5o+MjOT4WTz/Z2kla3VKqlrGIhUwiqlFmsb+64TUgaJyZgyEq3AqMChFlUIOsZHDNvLHG6h2aCdf3rJZbhx+q8wr/wd+iME13AaFPTyRVRn4I/HHULqmh4xZTqun/ZrLKu+G2vrPoWGgpVYVfuxpIJcOnBJtjo/vf63mNkr+u0PH98FQDWyX+g8hL8LcuAO+xcJzxWUixCWxdHk+WUN+OrSq7FOF0E+Pj6En+7fgKMMHS+k6/d6O+BU4pyBP1GcAaOehSi0y5Y/v6h2Ji6uX4IC5xc4LV8Wh0b70+pDRye44jw4tgxBuRDDsSq0B70od/FeC9bTXGg3elv9MbVD6MNf7H1dNOW/UO6cgQUV7xSWgB5IepYIQrJa6Xff6Gr4xpbg2PhsHBufjc6QWlwkrHggkxu476+b8oWMv1MrSsQOTZoj4rXeNvzXjlQJdrfVbuDsac+hxMFPrtriLF24W8MFNdNRbHfBabFhZVWT6XHXTjUuYiRC8LG56SpREnx07tWo9vCel2w1mVk0Mio3FmLDwop3A1A9Y/nKw04UVsmBq5p/hKub/wcraz5iPIB4cdhvrG9hIRI+MIunwWgTkpkh0FxUgasaeU1/j82e9FxFmIllRfkLkBiFGkeW3izNgz/FU4KI4saWocuwoe8G3DjtdxiKXyGUhOwNi43xxZXvMWwrtNfBLhUkrhVBSB5h9qZ+t0SIoQbBR+dcwPFvRSiwOUAIQUPhKlV9xCI2rtNhdmkNbmpeZNjeVMgv1JxM1C0iouhQgrtnrYHL5NkX2oyGQL3O6Dfz4PtGevGmiRGcK0ZilYbcjFxxbHw2/nv5Pab77/O9YfDMa9FJkTPolwc3YXPvUUPtkFAW+WEa9AmjerBUQ/2C22x86g1P4Qq2qcdKeLl3IRRyB17pux4KLJBMzKRCQVV1BQRR2WgIh2QL+sNGw84uWVFkN7YdvUF7XdMCfHZBivcvU6tBRlPvhRYZ+LcnvOb6NjIU5edklkIXkj2gkAwOBCGINaluV+mejfPqP4NGQ1EzMdJx8PXVb0ej4gWx3lbpCIwAUNXrHji6Exu6Ww3V0yMmRjwAWE2mtqWVc1DrLsaNTeKCe9/Z/Ryichzb+o7jZGCY29c+bnRiUkrhG+nF3qHOvKpWm2HSVHS8Xu+lAL4AYCEAG4AdAL7j8/meSftF8/N5AewC8E2fzyeUi/F6vW0AxFkxKmw+ny+3FPecMXkvIx84JKOBX2hLDTx2ixU3Ni0CAFD6OzzX/p9c0Rh1O0GfLrSa8boWKz6z4FJ8Z9dznGd9bqmeAlPEqevYJEtSbYW9Rw0Wy1wAD3D7TwTqQSk1dF42UbfGMx81HvNENX1yqQYFFpwIGpNLV1RdiuHwGE7638CMkvWo8yzGHd4H8IWtj2IwEsCFVXo1C2AkoqkMsF5QdYTQh+tF9BntOcwtvwknx1MScBolRF8tWIRqdxH+3/RlkBUFdosVt7UsxT+O7uCOqXQWoKFAnDBlT8MJBVRPWVyei90MfZfk0QfWT+HpQbPLrkWVexY8tqqcCuZMNmySCza7C7JiNMbKXDciKPsM2y2EGIrWZeM90z/rMocnqTIRkj1clckCa0r+wpJl3QfN6znFU4opnhJ0BEYwo0iN3MQVBX2RKbD7I3Bb/bBLYURkF44F5qDa2QH9uFbrMS5sCCFwWosRjSaK80RTTgK9UbWscipXQdZttWf04JoZ07ni0rpZyeq+gLhYmsNiS3rYh6MihQ71HZuJIxTZjYsCfVLtS10+XNkwBwU6tY2f738F0wvEz2I8VozRWBnq3SlqR294SuIdGRFRnOgOTYVCJZTZ+0xVtcywZfAyhOQC04RBQI0i6hdnESUOp8VmKshw3+E3sKS8AR+ao+byyFTBVkFUzwzn1UzHYyfMExTZRFz92GYTyMcCwFisDKOxcozFSuGxjuJgotCgTK1QSD0o1HnSbJG+qOJd2NT1PW5bIF4Eu8QvcsZipYhTik5d1V1AHTvcVrvBYBXl800vrsLXll6DryQcRZv6r8Xlta+B0iD6oxcYjheNQQvKpuDvbTswGq3g2lCrzot9PDAbdimCAusoR2OK0RmwEX4u4+87f4UYViN/MBzA3qFO/Gz/K8JjRyMhjEbD6AyMYFVVcyLyaU5/2didksgdjlZCoRIkoiAiOw1RHABYXjkV/eFxNBVfjw7/3w376xLjYbqcnI+/Li6odmikFwQER/0DWD9lDsqdHhwe7cMP974IALjbuwYr0jjncsGkGPher/dOAL8HEAHwEgALgIsAPO31ej/k8/nEQsvm56sE8DAAU6Kb1+stBtAMoBeAWVp17uXQJoTTHxARefCbi42dHVAHqikFK4wGfh4e2A/OOg+NBWX41PyL8XrvURwa6UW1qxAfmLUWj7T9InmcRPiowfdX3mTwxrCJRjGF4h3T78OmrodxZHQjgvECnAzOwGAkYKDkaMWbRBgIjyMsxzDFU4rnOg7iISb5a1pRRVpFCwCYWVIN4CNYUf1hboBPN/ENR46hO7BLaO7qjRlNSYG9l+ZCNVnWZdD3V6/fPj6MTLAQSf1nUdviRXUz0VJUgf+3KyWV+I5mo7GmgVVCMYO3pJoz8M1oHemwRMdZJkRKauWfDbBIdkwpWI4ORpLUWzIFgMjAlwzGejYGvp7uUWRzJtu4Phxe5khJ/BFCUGx3Cb1YK6uaknSoi+pmJu/lk/MuRutYf3JxrSZCE3SEjKo059V9Ga92fT35ucBWY1pMzmkpwRiMsnN62laBlf89bqsdq6qacXDEXLowU+XebKGnoonOy2uni/KA1P1mBn65w4MCqyOtIIFCKf7PtxmfmMdHqCJKHF2hZlQ6+SjqgdFl6Is0oNzexRn4R/wLTA38ntBUKLDA51+KAusIlpW9bHo/IsjUirUmspYs9E6DqByHhUgGTyuLnYMn8WpPG86rmYZ/tO0wOD3S4fIps9ETHEVfeDxZIZmFlXl/04sqsbKqCXuHunDHtGVoGzY6YxQqoS88BRQSdg5rUUuWu59qI6IcGwCwCWgnwXgh+uIN3Ps5NKYqOx0Y7jYcLxEJDkGbMhs/atxFuLhuJl7qOoxpRZW4cdrPQACMx6LYteWfunMY7REtHyauoy3p86uiihP7RldBD6vlchRbwxiNmkScJiF/CgD+fGRr2v0nxofwz2O7oICiP+RP8vn1Bn5F4vd6bA4gMVzGqR0Hxpahwt6Nk8EZycjHZxdchkdP7Mbskhpc1aiqrrWPvY4OXeClsXAtLJI6RmSbdM/ijb5jeCORizEWDeOWliW4n+lP/+t7/ewx8L1ebx2AXwEYBXCez+fbl9i+HKrh/T9er/dJn89nnAXE55sH4CEAMzMcughqj3zc5/PlXvd6skDOrAdfz22rds9LG8oW7dNPaO+ZsQJ/ak3fwTS1iunFVZhuokmrQp/FbvTKsUZzRInDbvGg2Hk+dh5PdZ7u4GgyCVVD1ESHujc4hq/tfAoyVXBVw1wDF7bSWZDRwNeg9944E/caU+zCqncbOr7JJcxprUPWLU4WlKmqLnfNXIPXetswt7Q26YVwWosxHK1Eqb0ffVnKjmqw6YwZreLnbS1L8cDRnfCWVGNhGkWZdB58rXiU3mCaWuBCu0ASe05JDQ4IDLibmhZNiB96ujCr9LqkgW+XCtBUKE5UdVptILJeOynz72ssKMOskmocGunFutoZIIQkJyh/vBS1SOliN7hTi3ICCe+dsVJYlfW6qQvgj4ZRZHfiMiaJutDuxBImJ0PfHllUumbh/PrPYVPndwEAq2s/Znpsgb0afaH9hu2ybmop1Hmti+0u1FUVw2m14ZcHNgrPnYmWkS9EEfDmwnKGxge0B6aj0aN6/SKyA5rxZybZWOMuwk3Ni/BHRiFFhP3D3YjKcYOjYDhWib5wPaqcqWkyLHtgJZKhXkCMOjAUrTSo4OwZWc0lgKfjnpthScW0ZKXlXBCRZcRp5mjBn1q3YIqnRGjcG6O/KdgkC+5O0OD+Y8vDaetcEELwfu8aUEpBCEFfYBH80V3J/THFjmrPe+CwBBCLRyDi2bIqLmZjlUgMIKY44I+XYufwBfBYxtAfqRcuGNlzi5xG6cbHW1uW4uK6WShzupNGfKEggmTWxyucHvgZyUsCCy6qm4WXu1ozLqoL7eW4auoPEZUDeOjInYIj8vfg59Lf/3l8V5Kn/2KXz9TA1xxrrDQpAAxE6jEQ4efB6cWV+DRDgwLEakmU0fKf6Dz25uBJtTLxKWKCTIbL+WMAHAB+pBn3AODz+bYB+A5UL/wHM53E6/W6vV7vfwHYAtW4P5bhK5obckfao97mkIiVK89c5TKGn1noefiqZFaqkVqIhLXV0/DTNbeaJpQBQJ27xHTf1MKUpGKNJ/V3Y4HeM63dE5tkq3YefULt345sN1TBM/Pgbx9oT2au6417ACjNUnZNBG2g2DuyCiHZjaGIcXFDBRQdPf9We7aVrgLc0LTQULhjz8gabB+6EAfGeL5gxvuzihOhLq734kerb8Yn518s9OxoMPNQTvGUJKsj6zGtyIN7vGuM3zGhAeVTA+JMoMLlxfTiy1DiaMK6KZ8HAHx7xQ3cMfNKa1Fsdxkmp2wGfokQ/Pu8i/HN5dfhjmkqHz6QaCc9IXGSI6BGO+aW1uJDs8/HrS1Lks/zfTNXocJZgH+ffzHu8q5JqwOfrhS8RAjqPctwWeM3ccXU76aNrOhlLDUE4uo4o3F+9c/HY7Unk1zvnX8JimxOzCqpTipLeax2LKswfwYTgWgyvbJhLhySFVYi4QuLrkBL8dWIKo0YilZj29CleO8MVf5X1HanFVXAJlngypAIqmGTsKIuwYGxFUm1o9FYKcbipWqkJlaOQFyN1LYH1KQ+UdXlmcX1XPs0qyxOiLnv7M6ZF2T9O1hElTj+0ZbdVMxGEzVIIHj3jOzGOr1xDwA2QYRJc87U6SqBB+VVWN94BWaWmDumWFEAM4qOR1CJN5Yw5sdi5egON6c17gE1OiByqqQbPwghqHQVGLzH+rZprtqk5qEdG5+NQLwAa2o/gdumLcPXll1tcnwKUxKKRnaLB41FtwnOnP+i/KNz0uV/8dBz9LsSXHu9gR+IRUEpzZikLZk4ZESqOxWuVP8hhOCaxonVsBCNR9nk22WDyXCRXJH4/xHBvkcAfBPAlQC+kuE8twL4GoAeAO+GyuVP952zzsA/nTr4LBZWvhNbe9SCTrPLrkt7bBGTGBRTbBiK8l5Jl8UGkvAqmGV7f3rBpWlX20ur74JCY7BINiytegcC8lEMRwJY3yDW0WX56JpXXu99GIwEDB5LMw++fiGgR63bmGx8Ud1MvNylylwurzQ3LDRP5Fi8HFsGLwdADHx8VhFDoz/pDaqFGRIMPzDrAvyh9Q0AuXX05iLz8u+i6Ike+sns8imzhZQeC7FDpuoEUuKYCm/pVPxOJ4VZ6SxEnbsYXTru6ems5DcREEKwvIb3TZQ63PjgrPPw5uBJzC6pwepqNTHbbGGVCRIhXGXeBWX12DPUCQUWbB28FCvKjexDAgmEkKRHfmVVM8aiYYOSS76QCAEhhJvIzKCvwgoAc8puxLzKdRiPRZJ9qcpVgCpnAfrC45hfVse1M29JNb678kYQQiBTBXNLa1HvLsmqvWaLmcVVODyqFmBaqqOHAaoU4/9bcQMkQuCy2jC18DwA5wEA4oqcbLNWnSFplyx453SVu62Pnplhx8BJXFI/Cy93+fCqrhDUvtFVmFdqx97hGACCIrsTl9bPwgNHKZyWAIKy6hgQKZrUuou4XBCzyuI3tXwBr3X/CF2BA5AIz09n30up3Y3haHZVzCNyHLsGxbShbPC9VTcZvKxmqHUVoVtXayNdMawCezUGI9Uod/QirlgRoSoF6drGBYbaHCKYGX9uWzlmlFyB1pFUmmEoBylJIEHvE9Ai87Ek3j19BX5/OFVM0CyJ+fZpS/Gz/a/gRHAWVta8E41Fag5apvwrgM9vaC66BM91HMasohT9dSIc/Gzfvwhf2/lUMhrKQgFFWI4Ja+awlLpGE2eUvkYLAEwvuZz7fO3U+bi6cS7iimLKu88VgXg0LR04W0zIg+/1egmAOVC57iIF/8OJfXMTx6bDIFSDfobP5zOS5oxYDEBWb8O70ev1jni93mGv1/u41+vNze35Fse04otxh/cB3DDtN0lumBmKHQ1YXHknaj2LEzqv/GvJVNRqXe0MTpJMBIelEOfVfxqraz8Bu8WFqxrn4l0zVnCGDAuOopNYuZpJYLL47aHXEIipRuaR0T78eO9LeKnTZ8qZ1MBW0tNwfs10XNkwF6urW9KGqHmakHodM314M8wsrkqWKzfD0spG/GjVzbhuqrl34KK6mUmqDwDc2rLEQGPKB6uqVKO1Lo1KwCUNX4PbWo5y5wzMKFkPiRB8fek1huO+uPgKw7Z0+vxvBSytbMQ9s9Zibc20ZDRE7y3XS6Nli5ubFyefT1AuRBR3GY7RV5UtsDlyNu71KjIscgk7G/NFgJbiizG/rB6rq1uShrFEJHxm4WW4Z9Za3C2I9miGpYVImFtahxJHbn0qE+6auRoX1EzHu6YvN/3tHps9SZNjwS5I9V7SLy6+AlM8pcJ9ZrBLFoTiMfy9bUdS5UMDhYS9w3FoY0tXYBQX1c3Efyy6CvPLFyS3izz4dovRGNkzwj/rVv8C2K0eXNTwJVzU8LO093llY/poMAt9jtGa6hZ8Y9m1WX8/k4eVxc2C8Tld4rnLYsOhsaXwjS3GtqFLMB5Xj610ZVdcLF1/WFz53iQlk8ItlFhNf25JWOwqH+rHqoSzIRPmldbh3dNX4B3Ni3F+TSoHRzQue3SOC7boWKHNhZ5wE7ffLNpxOqA37jWMx6Kcl3xtdQt+ed7t+OjcCyARAiuR8L6ZxnwDQK2hw6LesxRWydj3JCLBnhAemQzkO3/oMdElQilUek6/z+czxIN8Pl/c6/UOAKgCUAhAXOJSPfZxAI9nc1Gv1+sAMBsq4etPALYBeBnAPADXAFjv9Xrf6fP5Hszt5+QOtuGcKQ9+rphVdjVmlV2Nvx37a9rjFpVPMXhlMhnP+YAd4LTQVJyK6Td67B/uwoqqJvxgz4tQQNMm7WlwWm2odBagn+Hc1rqLcYOJMctiepHRY+kbW42FpS+afMP4vLJtJxZJgi2NV+X2aeaFOCaCO2euwvops1HpKjSl85S7puO6ll9yA3q1ITJCYZUsBiWftwpFZyLIt3ZEtbsIP1lzKw6P9uGYfxDn1bSga5xgR9//JY8JxrLLH0mHO2euwvd2Pw8CYljU5zKOOXWUP4elCIV2caG4YrsrbXTsVKLM6cG7sqSApIPeU8xKHGbbrqOKjECW1cHX1rQk82jumrk6SR3RV9sdjZWh0WIcm4ai1dgyeBkUKiGi8IumOk8ZatwL0RPcDQCYXcZX+q7X0TBL7C4hPQZQ6SAeqyP5u65unGfq0NFjRWVTTobhvLI6fH3ZNfiv7SnZ4XTiAPWeEsSoA90JY1STKcz2faWLCFskG9bW3Yt2/+sYjMyAqvmh4vqpC3F4tDftnGQhROi5NpPmzITV1S3Y3HsUALCWqRbPghCC82uNyfV6atZ/LlqPn+zbYPiuBo/NDgJAViywSHJif245Y6cDgXiE8+B7S6ohEQnTiirxnRU3QCKSafRAn2cRp+bF6oDcFqrp8GrvEa4ae76YKAdfW86li+NpI8Jk1uKeD3Vx4gdwqc/nW+Hz+W70+XwzAHwKqkznfV6vN2NJUq/Xe6fX692QzT+oib1vG1wr4I6xEnK3CRpYOv52vnDokmwBYM9QVjnZSSWRdJxiPeySFdcxOvBzSmqy9pjokwUBIKiUYUX1h4XHixL6cvHOOE9RomE6EEJQ5ynJOAFmOylfWMdTPTJFL94O0FcvzAWEEHhLqnFFQlLRKvFtbjISsmrdxfjOyhvx7ZU3CK+fLfRJ+wW29NG9tzr0oX62LWebJBiV41lFKAFwhXQIIbg+URyPEJ5auW9klWnORUguSBr3zbroxfLqD6DC5UWdZzHmlfMFCPVyk5dNmY1fn/9OfHDWeYZr/ObQq0njXkJKNnb9FDEtk0U+Sb1lujyq8jSLCYkQuE3oXhpdyyZZTGmTmfpyjWcBVtR8GBVu3mh2WW0ZFzmEELQIaJX5+tFualqEKZ4SVLsKhXKw6SARgvfOWAkJBNOLKtFYUMoZvkW6uU8iEtxWB/aNqvloveEGSES8qMgWp8IBEIxHuX7LUq6K7K6M1CA2B8msAKKGyZrbXuw0qrXlg4laD5qbNZsZZ9IsQ5/Pt93r9dYCcPh8vhO6fT/2er3rANwA4E4A385wuiYA2Wd36MGo6JzJ8FQ+uGzKbOwf7sZRf8ojeAETsitzerC2ugWvJTwCwMSzxkVguX8ROY6oHDcNt+mRqyE1v6wONe4iVLlUJZ3hSAC35eAJF4XwJRB4TA0b4/PK5RmKIgZvFWg9Q/97J4srfjZjMscCK8mfm5oO2gJOxGnOFvoqn/Y8ilG9lVDvKUaFswAD4XGsruIpEU6Bbv+PVt+MtrF+vNx1GPsTMolRRc6qius1jfNQ4+b7ylWNc7GgvA6ldhdePHkUgZgP7YEZiFFHVpJ9t03jnTYF9mpc1igsM2OgbGiG0ayS9H6zOk9x8l6ubJiDmBLHS4n8JhFEY2om2CQL1lS34PXeo/BYHfAWixWuktew2IWVhG+bthT1nmJML6pCrbsYuwV5BKuzkA0FgCon3/ZL7C7MLqnG671HTecphVJDXQQg/3m2yO7El5dclVQQyhVra6ZhZVUTJCJBIgQ3Ny/Gzw+oWvQfmm1c2BXYHOgNVWHL4HoAgMOWXc6GGa5pnI9t/ZxJh1K7G4V2B1wWu7CSeyaMxyKcUyRXJ+Xqmo/jjZ6fI66EMb04PQUnnYFf6y5Gty4f7Z3Tl+OvR7aZfGPimKiBr1UPSkc80/blVkkpA3w+XzouxuNQDfxsYhzHAYirKRixCMDbxjpxWKz47MJL8ZFXU4Uc9BxufQGffHRfM4FNMoopMlcQJxPS6S7rcfu0Zbgw4RGTiIQ7pudOcREV3yGECOW0zJDL4F3nKcG0okq0jfVnPvgsA2sg3Ny8GE+078MFtdMnJU/gbMTskppkOJ6VpJwoLALO52Ti/NrpuP/ozry+qzciCu3mUodvB0gJlZ0T44MG5Su9gW8lEtxWO+aX1aPWXYwvbnsMABBT4ohkUcXVLBld4/zPLP0Yfrr/acQTybSZxubvrbxRWDXVDPp3q0kjZ6qVwfZvl9WO26YtwzuaF+Pbu57DycCwgeqT75xyx7RlWFBWj8aCsoyLBLOExWK7C1czkewrG+biaUZ57fsrc0j+1VEUq1yFqHEX4ytLrsJYLIxpRZXoDIzgG28+nTxmeeVUIZ1vonTfiTgY2Ha3oLwen///7d15fFTV/f/x14SQQAhL2GRVAeFAAAHZlLIIgksR0VoXqmgEpGKAuvRnUX4IKvZr/boWxar1K3wrv2LrQr+gYhEaWUrFtl+gKh5ExAYxIgbK1hBC8vvj3gmTyUwyycxkLsP7+XjwuObec8899ziZfO65Z+l7Mam+eiEXR3QC/JM/RzPQGpzpZns3b1chBujXsmP5g+lt635b4zeYR4Ja8GtaNZlpZzD6zAerT4jzOQsc0B/o2s7n8fRHJ9elmNBlACPadqWw6Agrd39SIW2LKGb6CxRttHYQJ8hvaYyp9Bvk7msJFFlrD0R5rZrwB//VRl3W2kXW2gsj+Yezsm5Yp0of/EApvhTGduxFWko9Lj+zV6XXvMH98uLdB//YiRKW7doc8bnvBv1iVCV49o7aCNeCn5EaeuDepR17VdpX08/JGVVMV+o1/rnXG9dPrzBbyZgOPXjygh9WucjWqe6GcwbRPqMZnRu3rNAFLFr1g1rJezb/QczyhuhmrwA4t+X1gDODRpemF8WiSJ7WqH4a2VltK3VhC+5OF9jnv8JMYSdORPRAlVpN4NswNa08uIfw380pPh/TegyrUXDv1yvL6VPdKDWNc5s7XVhSU+pxwzkDK/XR9wvVVSk1pR6z+13KgiHXVvoOqG1rdVq9VPq17Fi+eFNV2gW8CQk3Kw440976dWjULOT88lWV51J3prhuTVuXX/OMjCZ0bdqaFJ+PjplZ3Nl7FN2atuYnvUaSlZ4R+m+Kh3oDdGrcMuzK59F+d4QSPOi4VUA3p4cGVJ7IoTpHjh+jLEwXnXi4o9eokPuLT5Twsz4X06R+A1o3yCzvEhYqJgluWK2tqFrwrbVlxpiPgUE4c9cHR1sG5yHiH9FcJ5gx5jpgPLDCWhtqpKj/3Wl0j5MRKAvoolObFWG94Iqzz+Xys3qFfHUV/MqpNn8kqhM8i87BMMudh1JaVsbqrz6NKG0sBnemptTjzMysCqvK+ny+SqPt/ULN2FPTL+9Q6xGE61OaaD/o1IdezdvSoVGzSq1mXvqjFQ+tGmZyf//vxzzfpukV3wYED4aMVnazk0FN24aVp5Ct9vzmP6B5gy40TM2iWXrlKShPF8Et7uc2PzngMD2gdf9wybGQs5UFr05cXct28ANFuPS/GHQVTWoQqAa6qdtgPti7i+7NzqgQiA5v25Xhbbuy69B3lea1DzUrDFA+/XIixuBc36U/2w58zbETJ5jeM3yP3C5NWnFpx2y+OnKAH3aq+diAq87uy0XtDJn1G4RtTOrerE2Fbk6h6uNU6e4bPD1w24zoOzikB70JC3yIaFWLxq4jJcUVxujFu27rpaTQKDWtfE0Tv/aNsmjVMJP/PL9iA82QMzpXeGsElWelqq1Y9LfwTwJ7ZYhj/n1vx+A6gVoDE4BpwQfc6ThvdH+svKJGXJ0av5ShhOuXlhH0yxarV0eBKix0FTS3/ZmZWdzb95Iqz1+ZH1krfiTz/EaiU+OKg6L8gesVnZ+rlDb4ywpq3oIwqp2hddBgrdt6DK9RHnUlxZdC92ZtQvYrldpJr9eY7lnj8OHjnGYX16g7WCQapzVges8RDGp1Fje6CzrVhM/no22jvjRLT8wMOV4yxO2v3SurbYXfgfR6qdU+PAW/qatuvYjgdQL8AX7wt0ttg3twHjou7tAj7CKFoYLT6gYb16bPfbSapDXkF4Ou4pFBV5JdxYq5Pp+Pq87uy/SeF9ImxHopkV6rJo0Zoeow3q3MsdK1acUxYhNjMFOVvyuYX/BbggEh1rEI1iPgAepISVALfh08PJ0R9Lt+befzwk7LGqoBL//I/ioWKotcLAL8l4Ei4GfGmPI+78aYAcA9OLPoLAzY38UY090YE82j3lKc7kFDjTF3BuTtA+4Hzsd5a/A/UVxDqNxiHzx7QSwEtvgE96m/pdsQzm7cgh/3cFbEPTuzOf+332UVXttF2uIfq/nXg2ei8H8ZN6rfksz6FQd7hXqoqGkLQnq9VB4YcDlPXfBDfjHoSh4eeAWmWdWDyiS59Gt9Ez/s+hsGnnFrXPLv3bw9k7t/j3OanrqDur3gpq6DeaD/5eT2vLDSsebVdCUJXNMCql68CUKPB4KKrZzBM5/EWqiuBKEaNQIFdu0JbriIp7R6qVE97MTTtUEzCZ0qbzsHtz6bH/cYxvVd+jN/wBV0icGkEIFvFKFiFx2oPFDcb7IZQsN69enRrE35WDtwVrOtuLZ8/Os2eJzZRe27V5n+gf6X07VJxTE9L2xbH3U5og7wrbW7gLuBJsBGY8xKY8xK4M84c99PtdYGjjhYjbMo1lVRXPNbYBJwHHjCGPORMeY14FNgHk4f/KuttbF5z1GlgAEfp8bvZI0Ef4E3bxDb1kOovEhQoMbu0/t5LTvy/LAfcW+/S+mYmcWDA8bV+FVvVdepieDg+uiJk0/aWQ0qzriQHqP+lSm+FBqmptEsPSPi+aUluYRaYEW8xefz0SajScjf8er61PcMalmuLn1wF7jDbkPHrd2/h88NY6aGmPkkluqn1KvUolpdC36D1Prc0WsUI9p2ZarbcHO6C/47e6qM50vxpXBey46MbGciXjisOqZZ6/KHwG5NW1fqltMkrSEP9B9LS/eBuVPjFtzWY5izHs4FV3NH71EV3p59tH9PnbfgX37WybF3oRb2C9Ymowl3n1tx/NK2AwXsOvRdVOWISZ8Fa+1CY8w/cVrshwLHgPXAw9bacCsARXvN140xFwD3AcNxxgDsARYAD7kPAXXKF7uZQD2jaVoDWjZoxL6iI3Ro1CzkVHDxFPy6zi/F56NLk5Y1mnEnVpoF9asP7C8XPA94qD92p8qXt4jETuGxqqcQDJ4SM3jO/VAGtTqLTd9+SaovhR5ZTreEMzOb8x+DxnOirLROGgOu7tyPv+77Z/nPwf2yQ+mR1aa8vFJ5fZVTpQU/HlJ8Kdx97kXsPLSvUqu2X5uMpjw8sPJYJH83tcyguOGzgFlt6uLvb4dGWczrP5ajJcV0DurSG06oN/uvfv63iL4HwonZKjrW2hXAigjSnR1hfvNwWuOrSvM34OpI8oubJP89TPGlML3nhWz5bneFWVHq8vrhhFp0qi5U9eUbSRed0/nLW+R09W3RoSqPB38v/DuCqTSv7dyfjpnN6dy4RYVWy1jNwhGJ4G5AadVMoymVBY9LON3/RjSqn07voC5rNZER9JBZErAOQV3VbSwGHO88tI8vAtYpqqnka3KucwGjs5M02m+b0ZRLO/as1Qj2aAS/sg4W7m3ChW271Wp1xJoYH2YaxIapFQejhfpjd7p/eYucji4LmjL3hwHTRf4wxPSxRREE+I3TGnBxhx6c0zR0S2ddCB4MHP06y6efhvUqtjjrb0R0glvwA3l5hqKrzu5TaV+kq16HErMW/NNV4JeZdz82p5Z6vhTGntmLC87oVGW6cNNe+hew+ss3X5B/ZH/INNHq26IDb/3zI0rKSrml2wXl+9NSKg6kCzVlXLI+CIpIeMPbnsPXRw9QXHqCnG4XUEYZB48XkepLYVQ7AzgDCr8tctaE7F7N6qxecmHbbuR9vZ30eqn0iaLl9XQV3IKvvxHRSfGl8L0zOrPhm52Vj3m4bke2M+w+cqDSar61pQA/ljz8ZOh1Pk4+LA1sdRZjz6y8QFSwUNNL1ZV2jZrx0IBxFJeWVOg7m1YvKMAP8Zbhu2MxXdRZRE4BGalp3BI04C540afbs0fwhy+3cHbjFnRqElnfXS+4ulNfzmnaio6NsmgUh8WPkl3wmgZqwY/ewFZnhw7wPVy36fVSmdL9e3TMzOKNLzZHnZ+66ETLpxeSsXD3uaPx4SPVl8JF7U1E55zf+uwq55aO96u45g0aVRoYl1av4kNHqDmfv/23AnwRqaxdo6ZMyx7OZR17JrooNZJWL5WBrc6q9dzxp7sUXwoj3Kkd01Lq0bFR6JVjJXLhpvz1cHxf7pIO2Tzzveuizkct+DGk12q117Vpa/5j0Hh8QLMIB4ilptTj/v7fZ9r6pSGPDzmjE/88XAg402zWhYapzWiTcS4FR7dyVmNnirpxZ/Zm+T9PLuYcyeA5ERE5fVzfZQD9WnSkZYNMGnt0vv5TSf2UejRPz6g0e1XKKdKuXT+lXrVT5VZHAb54Rm1mfkjxpVTotzomYEGJ4W27UnjsKLuPHODyM3vHrJzVGdHhPv51LJ9m6c6sQ2PP7FUhwC8qUYAvIiInpfh8mjo0xhqlplcO8E+FJnxXtKs+K8CPlk/DbBNtkhnCr7atIys9gysCZrep50up1Me1LqT46pHV4Ozyn30+p+uRf6quUs0zISIiElehAuRTKL6PeqrNU+NdhYdVCNVOpU9OEuncpCWPDLqSe/teUml1R6+4pEN2+X/7Z8wQERGR+EjkRByx8KNzBka1poU3o6FTilpjvcDrr90uO7Mnh44Xcbz0BJdHMEOQiIiI1N64M3uzvuDzCvtOlJ46MVvbjKa0btiYXbU8XwF+DGmQrYRTP6UeN3QdlOhiiIiInBaapWfQrWlrtv9rb/m+jpmnzwxF6qIjIiIiIkmnLKjB3utv+2NJAX60KgyyVXWKiIiIeEGT03jKUUWkMXT6PBeKiIiIeNsPOvUtb7WfZC5IcGnqlvrgx1KKQnwRERERL2jZIJOHB17B4ePHODOzeaKLU6cU4EepLKCLjsJ7EREREe9ont6I5umNEl2MOqcuOjHkU3WKiIiISIIpIo3aqTOnqoiIiIgkPwX4IiIiIiJJRAF+TKkXvoiIiIgklgL8aAXOg6/4XkREREQSTAF+lAJ74GuQrYiIiIgkmiJSEREREZEkogA/WhXmwVcfHRERERFJLAX4MaTwXkREREQSTQF+TCnEFxEREZHEUoAftcBZdBTgi4iIiEhiKcCPIfXBFxEREZFEU4AfpTLF9CIiIiLiIQrwoxYwi4666IiIiIhIginAjykF+CIiIiKSWArwoxY4yDZxpRARERERAQX4MeVTdYqIiIhIgikijZZa7UVERETEQxTgR6kssIuOon0RERERSTAF+DHkS1GALyIiIiKJpQA/Wr6wP4iIiIiI1DkF+FELmAc/gaUQEREREQEF+FErq/CTQnwRERERSSwF+LGklWxFREREJMEU4EfLpy46IiIiIuIdCvBjyKcWfBERERFJMAX4UQtowS+rIpmIiIiISB1ITXQBkku9Cj+VlpZSWFjIoUOHOHbsGGVlegI43fh8PtLT02ncuDHNmzcnJUXP1CIiIhJfCvCjFdgrJyB2Ky0tJT8/n6NHj9Z5kcQ7ysrKKCoqoqioiCNHjtCxY0cF+SIiIhJXCvCjVFZhHvyT0X5hYSFHjx4lNTWVNm3a0KhRIwV2p6HS0lKOHDlCQUEBR48epbCwkJYtWya6WCIiIpLEFHFG4fDxvRRnHDq5I6A1/9AhZ3+bNm1o3LixgvvTVEpKCo0bN6ZNmzbAyc+FiIiISLwo6ozChj1PhD127NgxABo1alRXxREP838O/J8LERERkXhRgF9LJaXHKCz6vMK+wC46/gG1arkXODmFqgZai4iISLwp+qyloyX7QuzVPPgSmtZIEBERkbqiAL+WjhyvHOCnKIgTERERkQRTgF9LR0ME+KpOEREREUm0mE2TaYwZDdwH9AHqA38DfmGtXVnL/AywGXjYWjs/TJpmwL3AVUBH4BvgdeABa+3B2lw3Uv8q3h3P7EVEREREaiUmTc7GmBxgFTAE+ADYCHwPeMcYM7UW+bUC3gQaVJGmCfA+cA9QCqxwt3cBG40xTWt63Zr49t/bKu2r5wtbXAnjs88+Iycnh/79+9OnTx8mTpyY6CKJiIiInNKiDvCNMe2AXwH/AgZYa79vrb0EJ8A/CDxtjGlfg/x6AeuBHtUknQ+cC7wIZFtrrwG6Ab8Bst3jcVFWVsr+oi8q7U9VgF9j06ZNY+PGjbRu3ZoLL7yQ/v37J7pIIiIiIqe0WLTgTwfSgSettR/5d1prPwR+gdMKX20rvjEmwxhzP84bgG5A5Qj6ZNpmwBScB4i7rbWl7jVLgNuB/cBkY0xcJqE/WlJIGaWVD2iQbY0UFhaSn59PRkYGy5Yt4+mnn+aOO+5IdLFERERETmmxCPAvdbfLQhzz77ssgnyuBR7ACdp/APx3FWmHAw2BNdbaCkuDWmsPA++5x0dEcN0aO3z8mwo/p/87k54ffp+0VAX4NVFcXAxAVlYW6enpCS6NiIiISHKIKsA3xvhwusOUApU7pcN291hPN21VvgPmAl2ttW9Wk7anu/0ozPFP3W3vavKJiSGrJtP6666k1atXF5dLChMnTmTECOf566uvvsIYgzGG3budwct///vfyc3N5fzzz6dXr16MGjWKefPmUVBQEDK/PXv2MHfuXEaNGkWvXr244IILmDFjBlu3bq2zexIRERHxgmhb8LNwuud8Z60tDj7odpnZB2QAjavKyFq73Fr7oNsCX5227vbrMMf9+8+IIK+opB5rGPCDAvxIDRkyhDFjxgCQkZHBuHHjGDduHBkZGSxZsoQbbriB9957j7POOotRo0aRmprKb3/7W6688ko+/vjjCnlt2bKFK664gqVLl1K/fn1GjRpFx44d+eMf/8j111/Pa6+9lohbFBEREUmIaKfJ9PdxP1pFmn+720yc7jexUN11A69ZJXcGoJwIr9s3eEenrReV/3dZg4wIs5Fp06ZRUFDAqlWryMrK4rHHHgPgk08+Yf78+aSnp7Nw4UKGDBkCQGlpKQsXLmTBggXMmDGDlStXkpaWRlFREdOnT+fQoUPcfffd3HrrreWrxr7//vvMmDGDefPm0bt3b5yZV0VERESSW7QB/gl3WxZB2liuAhXpdSO55tnUsq9+xx3n0ebrzgF7atYHf9XubSz/5z84dqKkNpdPiPR6qYw7szdjOlQ3yVHt/OY3v6G0tJRp06aVB/cAKSkpTJ8+nQ8++IBNmzbx9ttvc+WVV/LOO++wd+9ehg4dytSpFcdyjxgxgqlTp7JgwQIWL17Mz3/+87iUWURERMRLog26j7jbhlWk8R+LpOtNrK5bk2vuwplPP5J///KfNOzt2zjnk2GkBgT1vhrOorPqq09PqeAe4NiJElZ99Wn1CWvpww8/BOCyy0KPyx47dmyFdP7tpZdeGjL997///QrpRERERJJdtC34B3GC7ZbGmFS3z305Y0wq0BIostYeiPJagfa42zZhjlfXR7+ctXYRsCiSixpj8oARqSVppJZUnvWlpDTE1JlVGNO++ynZgj+mffe45b93714A2rcPvXRChw4dANi3b1+F9P791aUXERERSXZRBfjW2jJjzMfAIJy56z8JSmJw3hL8I5rrhOCfPSc7zHF//5FYX9cRpmNQk7SaLXQ1pkOPuHV1OVWVlVXd6+rECad3VlpaWkTpS92HLn96ERERkWQXi37xK93tlSGO+fe9HYPrBFqLM5B2dPBiVsaYTGA0TvecdTG+LgBlPkhjd4V9pQ1SSG9cVU8liUTr1q0ByqfLDObf36JFi4jS5+fnV0gvIiIikuxiEeC/DBQBPzPG9PfvNMYMAO7BCcQXBuzvYozpboxpWtsLWmuPAItxpulc6HYF8ncJehZoBrwQvAhWLC29uA2FzU62Hjcb3hlfiha6itbAgQMBWLlyZcjj77zzDgCDBg2qVXoRERGRZBd1gG+t3QXcDTQBNhpjVhpjVgJ/xpn7fqq1dm/AKatxFsW6KspLzwYscBNgjTG/D/j57ziLZsXN7X0uJPvWYbSaOoCWtw4go0+44QBSEzfeeCP16tXjueeeY+PGjeX7y8rKeOaZZ/jwww9p3749I0eOBJzBuK1bt2b9+vW88MILFbrsrF27ll//+tfUr1+f6667rs7vRURERCQRoh1kC4C1dqEx5p84LfZDgWPAeuBha+3qWFwjxDULjTFDcAL5q4BxQD7wKPDzCBfMilq9pjXrdy9V69WrF/feey8PP/wwOTk59OvXjzPOOINPP/2UXbt20bx5c5566ikaNnS6QzVs2JCnn36aqVOn8vjjj/P666/TvXt3CgoK2Lx5M6mpqcydO5cePTTWQURERE4PMQnwAay1K4AVEaQ7O8L85gHzqklTCPzE/SdJYuLEifTo0YNf//rX/O///i8ff/wxbdu2JScnh0mTJnHGGRUXKD7vvPN48803eeGFF1i3bh2rV68mKyuLyy+/nJycHHr37p2gOxERERGpezEL8E8rkSzrJdVq06YN1tqQxwYMGMCAAQMizqtjx4489NBDsSqaiIiIyCkrlqvLioiIiIhIginAFxERERFJIgrwRURERESSiAJ8EREREZEkogBfRERERCSJKMAXEREREUkiCvBFRERERJKIAnwRERERkSSiAF9EREREJIkowBcRERERSSIK8EVEREREkogC/FrxJboAIiIiIiIhKcAXEREREUkiCvBFRERERJKIAnxJmAULFmCMYeHChYkuioiIiEjSUIAvIiIiIpJEFOCLiIiIiCQRBfgiIiIiIkkkNdEFEAFYsWIFL7zwAl988QUtW7bkkksuYdq0aTRt2rQ8TUlJCa+99hpvvfUW27dv5/Dhw2RmZtKrVy9ycnIYNmxYedoPPviAm266iUmTJtG6dWuef/55ioqKOP/88/nVr36ViFsUERERqRMK8CXhli9fzs6dO+natSsjR45ky5YtvPzyy+Tl5bF06VKaNWtGWVkZubm55OXlkZWVRZ8+fUhNTcVay/r169mwYQPPPPMMo0ePrpD3mjVr+PLLL7ngggs4fvw4Z555ZoLuUkRERKRuKMCXhNu5cye5ubnMnDkTgGPHjnHXXXfx3nvv8cQTT/Dggw+ycuVK8vLy6NevH4sWLaJBgwYAlJaW8sgjj7B48WKWLFlSKcDftWsXs2fP5qabbipPLyIiIpLMFOAnUOlf36Vs4x/g+LFEFyVy9dPxXTCelAGXxCzLzp07M3369PKf09PTmT9/PmvXruUPf/gDs2bNorS0lFGjRjF58uTy4B4gJSWFa665hsWLF7Nnz55KeaelpXH99ddXSC8iIiKSzBTgJ1DZ3949tYJ7gOPHnHLHMMC/7LLLKgXeWVlZ9O3bl02bNvHRRx8xduxYxo4dWyHN0aNH2bFjB2vXrnWKdvx4pbw7d+5MWlpazMoqIiIi4nUK8BPI1/+SU7MFv3/sgnuA9u3bh9zfpk0bAPbu3QvAwYMHWbp0KevWrWPnzp3s27cPAJ/PFzbvwEG6IiIiIqcDBfgJlDLgkpi2hJ+qArvchJKamsr27du5+eabKSwspGXLlvTu3ZsuXbqQnZ3NWWedxdVXXx3yXHXJERERkdONAnxJOH8LfbCvvvoKcFryH3roIQoLC8nNzWXGjBkVWu2ttXVSThEREZFTgZo3JeE2bNhQad8333zDli1byMzMJDs7m61btwJw2223VeqS4z9fM+SIiIiIKMAXD1i3bh2vvvpq+c+HDx/mnnvuoaSkhAkTJpCWllbeH3/16tUVzs3Ly2PBggWAM72miIiIyOlOXXQk4fr27cv999/P73//e9q1a8df//pXvvvuOwYMGMCMGTMAyMnJYd68edx555288sortGjRgs8//5wdO3bQtm1bfD4fBw8epLi4WLPmiIiIyGlNLfiScDfddBMPPPAAhw4dYs2aNTRq1IgZM2bwX//1X6SnpwMwYcIEHn30UbKzs9m2bRt5eXmUlpYyZcoUli1bxuDBgykpKSmfMlNERETkdOUrKytLdBlOGcaYPGBEZ9Ocd/5nY5Vpt23bBkCPHj3iXzA5JegzISIiIpGaOHEimzZtAnjfWnthTc5VC34t+PRMJCIiIiIepQBfRERERCSJKMCvlfArp4qIiIiIJJICfBERERGRJKIAX0REREQkiSjAFxERERFJIgrwRURERESSiAJ8EREREZEkogBfRERERCSJKMAXEREREUkiCvBFRERERJKIAnwRERERkSSiAF9EREREJIkowBcRERERSSIK8CVhFixYgDGGhQsXJrooIiIiIklDAb6IiIiISBJRgC8iIiIikkQU4IuIiIiIJJHURBdABGDFihW88MILfPHFF7Rs2ZJLLrmEadOm0bRp0/I0JSUlvPbaa7z11lts376dw4cPk5mZSa9evcjJyWHYsGHlaUeNGsVXX31V5TWnT5/OjBkz4nZPIiIiIomgAF8Sbvny5ezcuZOuXbsycuRItmzZwssvv0xeXh5Lly6lWbNmlJWVkZubS15eHllZWfTp04fU1FSstaxfv54NGzbwzDPPMHr0aABGjx5NYWFhpWsdOXKENWvWAHDOOefU6X2KiIiI1IWYBfjGmNHAfUAfoD7wN+AX1tqVNcijG/AAMBRoAewAXgSetdaWBqVNBQ4D6WGy+8pa26Gm9yF1b+fOneTm5jJz5kwAjh07xl133cV7773HE088wYMPPsjKlSvJy8ujX79+LFq0iAYNGgBQWlrKI488wuLFi1myZEl5gH/fffdVuk5paSm33347ADfccAOXXXZZHd2hiIiISN2JSYBvjMkBXgaOAWuAesBI4B1jzI+ttS9EkEcfYC3QBNgAfOjm8UtgMHBj0CnZOMH958BfQmRZufnWY/76cQEbN+/heElp9Yk9on5qChf0bceAnm1ilmfnzp2ZPn16+c/p6enMnz+ftWvX8oc//IFZs2ZRWlrKqFGjmDx5cnlwD5CSksI111zD4sWL2bNnT5XXeeKJJ/jTn/7EoEGDQj4AiIiIiCSDqAN8Y0w74FfAv4Ch1tqP3P0DgfeAp40xb1lrw3aINsb4gP/GCe4nWmtfcfe3cvO4wRjzprX29YDT+rnbl621D0d7HzXji0kuf/v4m1MquAc4XlLK3z7+JqYB/mWXXUZKSsXx3llZWfTt25dNmzbx0UcfMXbsWMaOHVshzdGjR9mxYwdr1651ynb8eNhrLF++nBdffJF27drx9NNPk5qq3mkiIiKSnGIR5UzHaUn/D39wD2Ct/dAY8wvgYWAqMLeKPMYA5wJ5/uDezeNbY8w0nBb9mUCoAP9vMbiHhOjf84xTsgW/f88zYppn+/btQ+5v08Z5iNi7dy8ABw8eZOnSpaxbt46dO3eyb98+AHy+qh+4tm7dyuzZs2nQoAHPPvsszZs3j2HpRURERLwlFgH+pe52WYhjy3AC/MuoOsAPm4e19s/GmL3AUGNMY2vtIffQKR/gD+jZJqYt4aeqwC43oaSmprJ9+3ZuvvlmCgsLadmyJb1796ZLly5kZ2dz1llncfXVV4c895tvviE3N5djx47x2GOPkZ2dHY9bEBEREfGMqAJ8t2tNNlAKbAuRZLt7rKcxxmetLQuTVU93+1GY4xZo7V7rA/e6fYECYLwxZirQAyjC6dIzz1pra35Hkgj+Fvpg/mku27Rpw0MPPURhYSG5ubnMmDGjQqt9uP/Vx44dY/r06ezdu5dJkyYxbty42BdeRERExGOibcHPwume8621tjj4oLW2xBizDyc4bwwcDJNPW3f7dZjj/v3+viGdcfrrNwGex+nC8yecVv3rgbHGmMustRuquwF3gHBOdelcfSNMJzWwYcMGbrnllgr7vvnmG7Zs2UJmZibZ2dls3boVgNtuu61Sl5wNG5z/zaWlFbs6zZ49m61btzJ06FB++tOfxvEORERERLwj2pVsG7nbo1Wk+be7zYwin+A8/N1zvgL6W2uHW2uvADoBj+M8TLxqjKm674fjbGBEhP+ahs5CorFu3TpeffXV8p8PHz7MPffcQ0lJCRMmTCAtLa28P/7q1asrnJuXl8eCBQsAp8Xe74UXXmD58uV07tyZJ598knr16tXBnYiIiIgkXrQt+CfcbbiuN4GqepiINB9/Hq8DZwInrLXlcyO6bwzuAS4E+gNXAkuryXMX8H41afz6oiA/5vr27cv999/P73//e9q1a8df//pXvvvuOwYMGFC+0mxOTg7z5s3jzjvv5JVXXqFFixZ8/vnn7Nixg7Zt2+Lz+Th48CDFxcXs2rWLJ598EoBOnTrx2GOPUVRUVKmFv3nz5pouU0RERJJOtAH+EXfbsIo0/mOHo8inQh5uX/78UAmttaXGmLdxAvz+VBPgW2sXAYuqSuNnjMnDacmXGLrpppu46qqrePnll1mzZg1t27blRz/6Ebfeeivp6c46ZhMmTCAjI4PFixezbds2SkpKaN++PVOmTOHWW2/l3nvvZc2aNaxdu5bGjRuXB/PBLf6B2rdvrwBfREREkk60Af5BnOC8pTEm1VpbEnjQXW22JVBkrT1QRT57cFrH2wCfhjheXR/9YAXuNiPC9JIAM2bMKG+hB7j++uurTD9+/HjGjx8f8thzzz1X4WeNsRYREZHTVVR98N2W9I9xVq7tFiKJca/xj2qy8s+eU2kOQ3fGnO443Xg+cfflGmNeNcaMDpNfJ3e7u5rrioiIiIgklWgH2QKsdLdXhjjm3/d2FHkMAVoB6wPmwO8MXAvcHJzYHVh7jfvju9VcV0REREQkqcQiwH8ZZ/75nxlj+vt3GmMGAPfgzICzMGB/F2NMd2NM4GDV93HeBIwxxtwakLZVwLmPB6R/CadF/wZjzNUB6esDC4CzgHestX+Pwf2JiIiIiJwyog7wrbW7gLtx5qTfaIxZaYxZCfwZZ7rKqdbawJWMVuMsinVVQB6lwCScQbQvGGP+Yox5A2eBq3OBF621ywPSfwLc5f74mjFmkzHmNWAnMAWnH39OtPcWViRzBomIiIiIJEAsWvCx1i4ExgF/AYYCA4H1wBhr7SsR5rEJGIwzBWZX4GLgS+A2YFqI9L8ExuB0w+kKXI4zj/7DwMCghwoRERERkdNCtLPolLPWrgBWRJDu7CqOfQL8sAbXXI3zRkBERERERIhRC76IiIiIiHiDAnwRERERkSSiAF9EREREJIkowBcRERERSSIK8EVEREREkogCfBERERGRJKIAX0REREQkiSjArxVfogsgIiIiIhKSAnxJqM8++4ycnBz69+9Pnz59mDhxYo3O3717N8YYxowZE6cSVlRWVsZNN91UZ9cTERERqamYrWQrUhvTpk0jPz+fzp07061bNzp16pToIlXp0Ucf5YMPPuDMM89MdFFEREREQlKALwlTWFhIfn4+GRkZLFu2jPT09EQXKaxjx47xwAMP8Prrrye6KCIiIiJVUhcdSZji4mIAsrKyPB3cr127lquuuorXX3+djh07Jro4IiIiIlVSgC8JMXHiREaMGAHAV199hTEGYwy7d++mpKSEpUuXMnHiRAYPHkzPnj0ZPHgwkydPZt26dRHln5+fz7BhwzDG8PLLL1c4VlBQwNy5cxk5ciS9evVi6NChzJo1i/z8/JB53XrrrXzxxRdMnDiR559/ProbFxEREYkzddGRhBgyZAhNmzZl1apVZGRkcNFFFwGQkZFBbm4ueXl5ZGVl0adPH1JTU7HWsn79ejZs2MAzzzzD6NGjw+b9zTffkJOTw969e7n77ru55ZZbyo998sknTJo0if3799OpUydGjhzJ7t27efPNN1m9ejUvvfQS5557boX8LrnkEnJzc8sfQERERES8TAG+JMS0adMoKChg1apVZGVl8dhjjwHwzjvvkJeXR79+/Vi0aBENGjQAoLS0lEceeYTFixezZMmSsAH+/v37mTRpErt372bmzJlMnTq1/FhxcTEzZ85k//79zJkzhxtvvLH82LJly5g1axZ33HEHK1euJC0trfzYL3/5y3hUgYiIiEhcKMBPoCMf7ubwhnzKjp9IdFEi5qtfj8zvdaTRwA5xyb+0tJRRo0YxefLk8uAeICUlhWuuuYbFixezZ8+ekOcePnyYKVOmsGPHDm6//XZyc3MrHF+1ahX5+fmMGTOmQnAPcOWVV7JmzRreffdd/vjHP3L55ZfH/uZERERE6oD64CfQkQ/3nFLBPUDZ8RMc+TB0gB0LY8eO5bnnnmPAgAHl+44ePcrWrVt59913ATh+/Hil84qLi5k2bRofffQR/fr14yc/+UmlNB988AEAgwcPDnntYcOGAbBp06ao70NEREQkUdSCn0CNBrY7JVvwGw1sF9drHDx4kKVLl7Ju3Tp27tzJvn37nGv7wq8gXFBQQEFBAampqWzevJlNmzYxaNCgCmm+/vprAObPn8/8+fOrzEtERETkVKUAP4EaDewQt64up6rt27dz8803U1hYSMuWLenduzddunQhOzubs846i6uvvjrsuddddx19+/bl3nvvZc6cOSxfvrxCX/rS0lLAGeDbokWLsPmcc845sbshERERkTqmAF885aGHHqKwsJDc3FxmzJhRodXeWhv2vLZt2/LAAw/g8/l44403+PDDD3n22We58847y9O0atUKcPrbjx8/Pn43ISIiIpJA6oMvnrJ161YAbrvttkpdcjZs2ACcbIkPVL9+/fL0c+fOpX79+rz00ksVHgr8/frXrl0b8tpPPfUU48eP53e/+130NyIiIiKSIArwxVPatGkDwOrVqyvsz8vLY8GCBQAcO3asyjy6du1KTk4Ox48fZ86cOeUPBGPHjqVVq1asWLGCJUuWVDhn3bp15Q8EvXv3jtXtiIiIiNQ5BfjiKTk5OQDceeed3HDDDcycOZOxY8fy4x//mKZNm9KoUSMOHjxIcXFxlfnk5ubSvn17tmzZwiuvvAJAw4YNeeqpp8jMzOTBBx/k4osvJjc3l+uuu44pU6ZQXFzMz372M3r06BHv2xQRERGJGwX44ikTJkzg0UcfJTs7m23btpGXl0dpaSlTpkxh2bJlDB48mJKSkrDdbPwaNmzI7NmzAXjyySfL584fMGAAy5Yt45prrqG4uJj333+fPXv2MHz4cBYtWlRh1VsRERGRU5GvrKws0WU4ZRhj8oARXbq24u0V66tMu23bNgC1Bks5fSZEREQkUhMnTvSvzfO+tfbCmpyrFnwRERERkSSiAF9EREREJIkowBcRERERSSIK8EVEREREkogC/FrxVZ9ERERERCQBFOCLiIiIiCQRBfgiIiIiIklEAb6IiIiISBJRgC8iIiIikkQU4IuIiIiIJBEF+CIiIiIiSUQBvoiIiIhIElGAXwuaBV9EREREvEoBvoiIiIhIElGAXxtliS5A8vjss8/Iycmhf//+9OnTh4kTJ9bo/N27d2OMYcyYMXEqIXz99dfMnTuXUaNG0atXLwYOHMgtt9zC2rVr43ZNERERkdpKTXQB5PQ2bdo08vPz6dy5M926daNTp06JLlIFO3bs4IYbbuDAgQO0b9+e4cOHs2/fPjZu3Mif//xn7rnnHiZPnpzoYoqIiIiUU4AvCVNYWEh+fj4ZGRksW7aM9PT0RBepktmzZ3PgwAGmTJnCXXfdRb169QDYuHEjU6dO5fHHH2fEiBGcc845CS6piIiIiENddCRhiouLAcjKyvJkcL9z5042b95Mhw4dKgT3ABdccAETJkzgxIkTrFy5MoGlFBEREalIAb4kxMSJExkxYgQAX331FcYYjDHs3r2bkpISli5dysSJExk8eDA9e/Zk8ODBTJ48mXXr1kWUf35+PsOGDcMYw8svv1zhWEFBAXPnzmXkyJH06tWLoUOHMmvWLPLz8yukO3DgAH379mX48OEVgnu/s88+G4C9e/fWogZERERE4kNddCQhhgwZQtOmTVm1ahUZGRlcdNFFAGRkZJCbm0teXh5ZWVn06dOH1NRUrLWsX7+eDRs28MwzzzB69OiweX/zzTfk5OSwd+9e7r77bm655ZbyY5988gmTJk1i//79dOrUiZEjR7J7927efPNNVq9ezUsvvcS5554LwHnnncerr74a9jr/+Mc/ADjjjDNiUSUiIiIiMaEAXxJi2rRpFBQUsGrVKrKysnjssccAeOedd8jLy6Nfv34sWrSIBg0aAFBaWsojjzzC4sWLWbJkSdgAf//+/UyaNIndu3czc+ZMpk6dWn6suLiYmTNnsn//fubMmcONN95YfmzZsmXMmjWLO+64g5UrV5KWllZl+Xfu3Mny5cvx+XxxncFHREREpKYU4CfQtsLlfLTvd5SUFSW6KBFL9TWgV8tr6dF8XFzyLy0tZdSoUUyePLk8uAdISUnhmmuuYfHixezZsyfkuYcPH2bKlCns2LGD22+/ndzc3ArHV61aRX5+PmPGjKkQ3ANceeWVrFmzhnfffZc//vGPXH755WHLeODAAWbOnMnx48e5+uqr6datWxR3LCIiIhJb6oOfQLZw+SkV3AOUlBVhC5fHLf+xY8fy3HPPMWDAgPJ9R48eZevWrbz77rsAHD9+vNJ5xcXFTJs2jY8++oh+/frxk5/8pFKaDz74AIDBgweHvPawYcMA2LRpU9jyFRYWMmnSJD777DN69uzJnDlzIr85ERERkTqgFvwEMs3HnZIt+CZOrfd+Bw8eZOnSpaxbt46dO3eyb98+AHw+X9hzCgoKKCgoIDU1lc2bN7Np0yYGDRpUIc3XX38NwPz585k/f36VeYXy5ZdfMnXqVHbt2kXPnj156aWXaNiwYU1vT0RERCSuFOAnUI/m4+LW1eVUtX37dm6++WYKCwtp2bIlvXv3pkuXLmRnZ3PWWWdx9dVXhz33uuuuo2/fvtx7773MmTOH5cuXV+hLX1paCjgDfFu0aBE2n1Bz2m/evJnbbruN/fv3M2jQIJ577jkyMzOjuFMRERGR+FCAL57y0EMPUVhYSG5uLjNmzKjQam+tDXte27ZteeCBB/D5fLzxxht8+OGHPPvss9x5553laVq1agU4/e3Hjx8fcZnWrVvH9OnTKSoqYuzYsTzyyCPVDsIVERERSZSY9cE3xow2xqwxxnxnjDlojPmTMebSGubRzRjzW2NMvjHmqDFmqzFmhjEmZDmNMe2MMc8bY3YaY/5tjNlujJljjInzqknhu4pIdLZu3QrAbbfdVqlLzoYNG4CTLfGB6tevX55+7ty51K9fn5deeqnCQ4G/X//atWtDXvupp55i/Pjx/O53vyvft2XLlvLg/uabb+bxxx9XcC8iIiKeFpMA3xiTA6wChgAfABuB7wHvGGOmVnFqYB59gA+B64EvgZVAR+CXwH+HSN/BvdZU4ADwFtAYeBBYaYypH809SWK0adMGgNWrV1fYn5eXx4IFCwA4duxYlXl07dqVnJwcjh8/zpw5c8ofCMaOHUurVq1YsWIFS5YsqXDOunXryh8IevfuDUBRURF33XUXRUVFXHfdddx3331VjgMQERER8YKou+gYY9oBvwL+BQy11n7k7h8IvAc8bYx5y1r7VRV5+HCC+CbARGvtK+7+Vm4eNxhj3rTWvh5w2kKgAzDHWjvfTd8IWAaMBmYCj0d7f1K3cnJymDdvHnfeeSevvPIKLVq04PPPP2fHjh20bdsWn8/HwYMHKS4urrIlPTc3l7fffpstW7bwyiuvcNNNN9GwYUOeeuopfvzjH/Pggw+yePFiunbtyr59+9i8eTMAs2bNokePHgC8/vrr7N69G3CmxvzpT38a8loDBw7kuuuui21FiIiIiNRSLFrwpwPpwJP+4B7AWvsh8AugAU4re1XGAOcCef7g3s3jW2Ca++NM/35jjAEuBz4Hfh6Q/ggwGTgBzKj9LUmiTJgwgUcffZTs7Gy2bdtGXl4epaWlTJkyhWXLljF48GBKSkrCdrPxa9iwIbNnzwbgySefLJ87f8CAASxbtoxrrrmG4uJi3n//ffbs2cPw4cNZtGhRhVVv161bV/7f7777LsuXLw/573//93/jUBMiIiIitROLQbb+fvbLQhxbBjwMXAbMrU0e1to/G2P2AkONMY2ttYeAS3A6wi+31pYGpf+nMebvwEBjTLa19pMa3IvUoTZt2oQcODt+/Piwg2Cfe+65Cj936NAh7ODbiy66KOSxjh07VjlNpt+vfvWratOIiIiIeE1ULfhu15psoBTYFiLJdvdYTzdtOD3d7UdhjlucsmZHmP5Td9u7imuKiIiIiCSdaLvoZOF0z/nOWlscfNBaWwLsAzJwBsCG09bdfh3muH//GbVMLyIiIiJyWoi2i04jd3u0ijT/dreZwMFa5hOYR23Sh+XOAJRTXTpX3wjTiYiIiIgkRLQB/gl3WxZB2qreFkSajz+PmqavytnAiAjSlUtNaViT5CIiIiIidSbaAP+Iu60q4vUfOxxFPsF51DR9VXYB70eQDpwW/KZNmrWOMLmIiIiISN2KNsA/iBNstzTGpLp97ssZY1KBlkCRtfZAFfnswQme23BygGyg4D73e9xtmzD5VddHv5y1dhGwqLp0AMaYPGrY2i8iIiIiUpeiGmRrrS0DPgbqAd1CJDHuNf5RTVb+2XCygw+4s+90x+mW80l16V093G111xWpE2VlkfRiExEREYleLBa6WulurwxxzL/v7SjyGAK0Ata7c+AHph9njKlwD8aYM4F+wJeJnAPf53NmBS0tLa0mpZwO/AG+/3MhIiIiEi+xCPBfBoqAnxlj+vt3GmMGAPfgzGizMGB/F2NMd2NM04A83sd5EzDGGHNrQNpWAec+7t9vrf0CJ8jvDjwYkL4R8GucNwrl6RMhNdXp/VRcXGn2UDkN+T8H/s+FiIiISLxEHeBba3cBdwNNgI3GmJXGmJXAn3Hmvp9qrd0bcMpqnEWxrgrIoxSYhDMo9gVjzF+MMW/gLHB1LvCitXZ50KVzgQJgtjHmH8aY14DPgDHAO8BzJFBGRgYAhw4dqialnA78nwP/50JEREQkXmLRgo+1diEwDvgLMBQYCKwHxlhrX4kwj03AYOB1oCtwMfAlcBswLUT6ncAgnAGyrYCxwH7gXuAHwQN+61qTJk0A+O6779i/fz8nTpxQP+zTTFlZGSdOnGD//v189913wMnPhYiIiEi8xKy/gLV2BbAignRnV3HsE+CHNbhmPnBLpOnrUmZmJs2bN6ewsJCCggIKCgoSXSRJsObNm5OZWe3aayIiIiJRUYfgOGrdujUNGjRg//79FBUVqQX/NOTz+WjQoAFZWVlqvRcREZE6oQA/jnw+H02bNqVp06bVJxYRERERiYGY9MEXERERERFvUIAvIiIiIpJEFOCLiIiIiCQRBfgiIiIiIklEAb6IiIiISBJRgC8iIiIikkQU4IuIiIiIJBEF+CIiIiIiSUQLXdXMOQDbtm1j4sSJiS6LiIiIiCSpbdu2+f/znJqeqwC/ZpoDHDp0iE2bNiW6LCIiIiKS/JrX9AQF+DVzwt0WAxtrmccId/t+lGWJRT6xKktfoCnwL2BzAsvilTwgueokVvn0xRt1Eqt8vFInsSqLV/IA73xWvPR564vqJFhfvFEnscpHvz/xy6cv3qiTmuZzAZDGyfgzYr6ysrKannPaMsbk4fyPed9ae2Et8ygDsNb6oixL1PnEsCx5eKBevJKHm08eSVInMSxLHh6ok1jl45U6iWFZPJGHm08eHviseOzzlofqJDiPPDxQJ7HKR78/cS1LHh6ok5rmE025NchWRERERCSJKMAXEREREUkiCvBFRERERJKIAnwRERERkSSiAF9EREREJIlomsw6Fu3o61jmE6uyxIJX7kd1Et98ouWl+/FKnYB37kd1Et98oqU6qcxL9+OVOgFv3Y9X6uVUux+14IuIiIiIJBEF+CIiIiIiSUQBvoiIiIhIElEf/JpZBOQBuxJaCu9ZhOol2CJUJ8EWoToJtgjVSSiLUL0EW4TqJNgiVCehLEL1EmwRp2adLKKW5faVlZXFuCwiIiIiIpIo6qIjIiIiIpJEFOCLiIiIiCQRBfgiIiIiIklEAb6IiIiISBJRgC8iIiIikkSSdppMY0w9YBpwM9ADqAfsBJYC/2mtLQpKPwCYCwwEMoGPgaettf8vTP7dgAeAoUALYAfwIvCstbY0RPoebv6jgCzgG+Ad4EFrbX609xspD9bLcOBnwAVAGmCBXwMvWmtLor3fSMS7ToLONcBm4GFr7fwwaZoB9wJXAR1xPiuvAw9Yaw/W/A5rx2v1EpB2nnudjtba3TW7q+h4rU6MMdk4n5WRQGvgX8AG4BFr7V9qcYs15tE6uR/nu7YJsBt4E/gPa21hLW6xxrxWJyHOmQX8B853yrzI7ip6XqsXY8znQOcqsqkf779DHqwTH5ADTAV6ueXZAjxlrX215ndYc16pk4C/NdV531p7YQTp6lRStuC7H44/AAuA7sBfcOYRbQc8COQZYzIC0o8B/gxchvPB+BPQG1hijHk4RP59gA+B64EvgZU4gdgvgf8OkX6Qm/46oABYDhQBU4C/u0Fx3HmwXm5z8/w+8C2wGufhZyHwljGmUQxuu0rxrpOga7XCCTQaVJGmCfA+cA9QCqxwt3cBG40xTWtznzXltXoJSHslMLvGNxQDXqsTY8yFwN+AG4GDwFvAV8B4YJ0x5rpa3GaNeLBOzgU24XzXfg287R76KbDZGNOuxjdZQ16rkxDn9MFphKlTXqsX97u0E04DypIw/yo1SsWSB+vEh/O3+r/cfPNwfp8GAkuNMTNqcZs14rE62Ur4z8YS4N9uur/X8DbrRFIG+DiB81ic/zndrbWjrbWXAV2BjcBgYA6AMaYh8Ip73hhr7UXW2nE4H5DdwH3GmP7+jAN+AZoAE621Q621PwC6ude7wRhzdVB5FgKNgDuttee66Q3wK6Al8HjMayA0z9SL+9S8AOczOMNaa6y1492yPAZcTN38EYpbnQQyxvQC1uO0RlRlPnAuzluPbGvtNTh1+Bsg2z1eF7xWLxhjcoHfkbg3j56pE2NMfWAxzh+mGdbabGvtVdbavjgBfz3gRWNMyyjvuTqeqRPXUpzv2justX0Cvmufx2ls+EWt7zRyXquTwHPScL5L0mpzY1HyWr30BXzAcmvtjWH+xTXAx3t1koPz/fER0NVaO85tmb4QOAY8YYxpXbtbjZhn6sRa+0a4zwbOQ0dDnDem90R913GQrAF+jru9w1r7lX+ntXYfzmsfcFqZASbivNpeYq39U0Daz3G6jgDMDMh7DE4AlmetfSUg/bcBeZenN8Y0B/oDhdbapwLSn8B5jQwwvMZ3WDs57jbh9QLcghOo/T9r7TMB6U8As3CexGe6T9jxlONu41EnGGMyjDH3Ax/gBOpfhCuIcbrmTMFpjb3b/8fFfUV8O7AfmFwXbzbwVr10N8a8BTyD0wXlUC3vKVo57jbhdYLT/eRMYG3g7497jSU4LWCNcf5QxlOOu014nRhjzsP5Y73FWvt0QP4ncAMC4NKa3Fwt5bjbhNdJCA/hBD/ranBOrOS4W6/USz93+7ea3UZM5bhbr9TJbKAEuNZa+3XANdYDL+C8IRwQ6c3VUo679UqdVGKM6Qo8jfO36AZbR92JaypZA/x9wKc4r5aCbXe3/le1/i/8ZSHSrgBO4Lz68Qub3lr7Z2AvMNQY09jd7W8BaByie4W/da1O+oXirXrpHZBXcPoTwFqgPnBRiOvHUjzrBOBanDcRB4EfEKKrUoDhOC0Ca6y1FYJYa+1h4D33+Igq8ogVL9XLr3C6ca3CfViuuuhx46U6yQD+Crwb5nhweeLFM3Virf070BYIfoMKzsMOOMFLvHmmTgIZY76H01XpReCPkZwTY16rFy8E+J6pE2NMX6AL8I61dlvwcWvtTGvt2dbatyudHFueqZMqPIXzHTzbWvtlLc6vE0kZ4LuvlXpYa4+EODzQ3foH5/V0tx+FyOcgsAdoZYw5o7r0/tNw6jXbzeMATh+y+sDrxphexpiGxumX7x8A8lhENxYlL9ULJz974QaN+v8QR/z6uTbiXCcA3+EM0ulqrX2zmuJUV4efutveYY7HjMfq5UPgCmvtxdbaf0Z8EzHmpTqx1r5prR1orf15mCTB5YkLL9WJm0+B23pXzm1Y+aX742+qyyNaXqsTAPet32LgnzjjeeqcB+ulH04AaIwxa40xB4wx+40xy92/z3HnsTo5z91uMsakGGOuMMY8ZYx53hhzWx29OfZanVRijLkEp8HpE5zu156VtLPohOL2E3/I/fF1d9vW3X5d+Yzy/R2BM3AG40SSHje93404T5MXAf8I2H8I+JG19reRlD9eElQvFufpexjO4MDg8gxxf4x3F52QYlQnWGuX4wyqjkRtPlt1KhH1Yq39P7UqbB1J0GelqvKMwplV5984M3XVOS/UiTHmRpxZOC7AaW17iQQN0HbLk8g6eQJntphR1trDzhAob0hEvRhj0jk5O8tvcBoR/oQza8zlwCXGmB9Za1+r0c3ESII+K+e42yM4E15cGHR8ljHmslCt+3XBC98pLv/YwAfd3gaelZQt+FX4OU43iG+A/3T3+Z9K/x3yjJP7M4PSH40wPThPkYuAYpyBI/+D0++rMfBTY8zZEZU+fhJRL/8NlAF3GmPK+wm7v8RzcLpiAKRHUP54iEWd1FRtPlt1LRH14nWeqRP3u8Q/BuY/3H6rieCFOhkLjHavW4ozbW/HGOVdGwmpE2PMZThTHv7SWptX23ziKBH10hungfMQMNpaO8g6g9S7AnfivHFfZIxpU8v8o5WIOvF3Ib4f5037tTiz2nXHmdzgLGCFO7A1ERL+nWKMuQBnkO924PexyDOeTpsA3xjzIM7gzWM4A0i+dQ+dAMqstWXVZOGvK/8TW0Tp3ZaCVcDDOLPL9LHObDHn4Ez5dB6wyp3doM4lql7c/rJzcGZzWGGM+bsx5k2cX5z/izOgB+B4pPcSKzGsk5qqUR3WtQTWi2d5qU6MMV1wWiHb4rwVq3KKuHjxUJ3chTPLUA+c7pBX4kwfmhWj/COWqDpxJ3l4Ced79d7a5BFPiaoXa+1fcX5PeltrVwcdewqnT3cjTg74rDMJ/P3xN6Y1Ba6y1v7eWnvAWmtxBrVuwnkLdGMt8681D32nzHC3j9n4z7AUtaT7gxvMGJNqjHkeJ5gswvngrg1IcgTwGWPCzYPqf1o9HJA+cH916W8Bvgc8b639nT+RtbbUWjsXWIMT7Md9zupAHqgXrLUP4wxy+TNOK8GFOP3azseZCx7gQAS3ExNxqJOaqnEd1gUP1IvneK1OjDEDcaZrOxtn4O0P6/oPkNfqxFr7tbX2mLX2U2vtTTjdldoBt8Ui/0h4oE4W4swycrO1NlwrZ53zQL34x2uEGyDp78IRcorFePBAnfjfHG+xzsQY5dwA+kX3x5G1zL/GPFAngWVpAIxzy/FqtPnVhaTug2+MycR5jXIpTqA4PujDAU73mWZAG2BXiGyC+3jtwZk/tw0nBz1Wlf5Cd7sqTDHfwZnyrh91MAAMPFMvgDNYEGehieAyXun+Z50MqoxTndTUHncb7rVwtPnXmEfqxVO8VifGmCuA3+L0M38VuMlaWxxtvjUsg6fqJIwlODNq9KsuYSwkuk6Ms7rndThdGqYbY6YHHO7lbn9gjDkHZ7rVF4LziIdE10uECtxtRpWpYsQjdeJvFQ+VNziLV8LJ2f/iyiN1Emg0TlefN2wdrigfjaRtwXdfw+bhfDjygWEhPhxwcvR1dvAB46wq2g741lr7TQTpfTgt0SdwWqLB+fBB+OnZ/PvrpIuOV+rFGNPKGDPKOPPJhjLK3f61unuKVhzrpKbC5u/yzyj0jzDHY8pD9eIZXqsTY8wtwBs4gcgTwIQEBPeeqBP3++TXxpgJYZIcc7f1a5N/DcvihTrx9zs+A7gh6F8f91hv9+chlc6OA4/UC8aY64wx/88Y86MwSTq527jOQuWWxRN1wsm/K+Gm1vU3PO2tZf4R81CdBPJPt5mQgde1kZQBvtuf/W2c12ufAEOsteGmHlzpbq8McWwczij7wHlfq0o/BGfWl/X25Dzm/tbs74e5/hh3uyXM8ZjxWL2chzNSf26IcvZ2z/mCOAf4ca6TmlqLMyhotAmaksxtzRiN86ox7ovUeKxePMFrdeK+5fo1zvf43dbauyPoixpTHquTNsBk4I4wx/1/oOO6rLxX6sRam2et9YX6x8mFvx5w9+XU5ho14ZV6cbUGJnBy4aTAcvo42c883DoTMeGxOvkTzkPwAGNMpxDH/XPOx/Xvj8fqJNBgd7sxRvnFXVIG+DiDV8/HefK70Fpb1VP46zhPpDnGmPIg3BjTGXgEZ8DjEwHp38dZZXWMMebWgPStODkn6uMB6V/CmcHhVmPMVYEXNsbchRP4f4uzxHq8eale1uK8drvWGHN+QPq2OK/SfTh/fOLdjziedVIj1pn3dzHOzAULjTGpbv6pwLM4b4NesEGLYMWJZ+rFQzxTJ8aZ3eNlnO/w+6y1iapfz9QJzuq93wCDjDGzAg+430m34Ky78WKIc2PJS3XiJV6ql6U4n4Whxpg7A/L34cwicz5Oi/b/RHGNSHimTqy1/+Jkg8ES4wzQ9l/jOpwHom+Jf/9zz9RJQH5pOG+7vrPW7oo2v7riKyur0wafuDPGtMD5YDTEaakJO2ertfZG95wrcD4o9XAC1UM4c9b7VyqrsJiMcRbBWI3zCvQDnH5gF+IEZi9aa6cGpb8dWIDzi7MZp2W6J84yyYeBy6217xNHHq2Xa3G+LEpwWg+K3fSNgIXW2twobrladVEnIa45D+etxRxr7fwQx5vjDDo2wE63XOfhzF7wd2CEdVa1jRsv1ktQ2l04U7Z1rObLP2a8VifGmEeB/4Mzy9TvCT/z0hvW2jequb1a8VqduMdH4wRlDd3yWJzugd1xBuRdba2NW6usF+skzDn/F2dO8QestfMiOScaXqwXY8zVOGNX6uM0Tn2KE8R1w+mDP9xa+1lN7rMmPFonmTit4t8D/uVeoy3OAlNFOL8/cXsb68U6cdN0wvl7/LG1tleoNF6UjINsR3By5PR5nFydLZQbAay1/2OMGcHJJ3cfznz1T1hrK811aq3dZIwZjPOkORJnwNJnONOQ/TpE+oXGmC04f5C/56bfi9Na+3A8v0QCeLFefmeM+TfO9FdDcbqn/A14hrrp5xb3Oqkpa22hMWYIzhfOVTivGfOBR4Gfxzu4d3muXjzAa3Xif11eHwjXjxhgB04f/XjwWp1grX3POINLZ+N0abscp1V/Ec66ANurOD0WPFcnHuG5erHWvm6cec3vw5lfvRtOo9QC4CF7cirGePFinRw2zkJ5PwEmAhfjBMxvAvOtM711PHmuTlz+BTcPxCi/OpF0LfgiIiIiIqezZO2DLyIiIiJyWlKALyIiIiKSRBTgi4iIiIgkEQX4IiIiIiJJRAG+iIiIiEgSUYAvIiIiIpJEFOCLiIiIiCQRBfgiIiIiIklEAb6IiIiISBJRgC8iIiIikkQU4IuIiIiIJBEF+CIiIiIiSUQBvoiIiIhIElGALyIiIiKSRBTgi4iIiIgkEQX4IiIiIiJJRAG+iIiIiEgS+f8+JIJFdrQDwwAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 253,
+       "width": 380
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res.get_security_weights().plot()"
+    "res.get_security_weights().plot();"
    ]
   },
   {
@@ -245,20 +230,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 18,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2054: RuntimeWarning: invalid value encountered in minimum\n",
-      "  negative_returns = np.minimum(returns, 0.)\n",
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2056: RuntimeWarning: divide by zero encountered in true_divide\n",
-      "  res = np.divide(er.mean(), std)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "strategy_names = np.array(\n",
     "    [\n",
@@ -309,17 +283,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 19,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 320,
+       "width": 879
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -331,20 +311,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 20,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2054: RuntimeWarning: invalid value encountered in minimum\n",
-      "  negative_returns = np.minimum(returns, 0.)\n",
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2056: RuntimeWarning: divide by zero encountered in true_divide\n",
-      "  res = np.divide(er.mean(), std)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "merged_prices_df = bt.merge(results[0].prices,results[1].prices)\n",
     "\n",
@@ -370,68 +339,67 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1d62f7d0748>"
-      ]
-     },
-     "execution_count": 10,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 320,
+       "width": 879
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res.plot()"
+    "res.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x1d62f9fb0f0>"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 251,
+       "width": 373
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res.get_security_weights().plot()"
+    "res.get_security_weights().plot();"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -445,9 +413,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/examples/Target_Volatility.ipynb b/examples/Target_Volatility.ipynb
index 93593a36..3a26faf0 100644
--- a/examples/Target_Volatility.ipynb
+++ b/examples/Target_Volatility.ipynb
@@ -1,5 +1,12 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Target Volatility"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -11,12 +18,6 @@
     "import matplotlib.pyplot as plt\n",
     "\n",
     "import ffn\n",
-    "#import bt\n",
-    "\n",
-    "#using this import until pip is updated to have the version of bt with the targetVol algo\n",
-    "# you will need to change this be wherever your local version of bt is located.\n",
-    "import sys\n",
-    "sys.path.insert(0, \"C:\\\\Users\\JPL09A\\\\Documents\\\\Code\\\\pmorissette\\\\bt\\\\\")\n",
     "import bt\n",
     "\n",
     "%matplotlib inline"
@@ -36,22 +37,18 @@
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x259b3ded4e0>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 262,
+       "width": 377
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -71,7 +68,7 @@
     "rdf['rf'] = 0.\n",
     "\n",
     "pdf = 100*np.cumprod(1+rdf)\n",
-    "pdf.plot()"
+    "pdf.plot();"
    ]
   },
   {
@@ -137,28 +134,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 4,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "static\n",
-      "0% [############################# ] 100% | ETA: 00:00:00"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2054: RuntimeWarning: invalid value encountered in minimum\n",
-      "  negative_returns = np.minimum(returns, 0.)\n",
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2056: RuntimeWarning: divide by zero encountered in true_divide\n",
-      "  res = np.divide(er.mean(), std)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# set integer_positions=False when positions are not required to be integers(round numbers)\n",
     "backtest = bt.Backtest(\n",
@@ -179,27 +157,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 7,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAwQAAAIrCAYAAABRdl61AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAABYlAAAWJQFJUiTwAACbU0lEQVR4nOzdd5xcV3338c+U7VVa9d6PZEuuso17x2AwGAOG0CGEUAxxgABJqA+QhITyQMAhlAeHEkIxNrgSF2wjd8uWiywdSZZkq2ul7X3a88edmb1Td3Z3Zqfs9/166TUz956596w02rm/+zu/czyRSAQREREREZmevMXugIiIiIiIFI8CAhERERGRaUwBgYiIiIjINKaAQERERERkGlNAICIiIiIyjSkgEBERERGZxhQQiIiIiIhMYwoIRERERESmMQUEIiIiIiLTmAICEREREZFpTAGBiIiIiMg0poBARERERGQaU0AgIiIiIjKN+YvdARGRSmGMWQbsGaPZIHAYeAL4N2vtk3k6915gKXCVtfa26LYvAl8AbrLWvsnVNhJ9usFa+3w+zj9ZxpjvAR8GdllrV+f4nm8AHwcestaeN4FzfpE0fz+TYYxZZ63dlrQt5e/bGHM/cCHwUWvtd6PbLgL+BBy31s5KOoYXWGWt3ZGPfoqIuClDICJSGE8CDyX9eRjYh3Phfi3wmDHmLUXrYWn5r+jjKmPM6WM1jl4gvzX68sZCdSpXxph5xphfAT8twLE34gSQH8j3sUVEQBkCEZFCebO1dm+6HcaY5cCvgDOAHxtj/tda2zmFfVsXfdw9hefMylr7uDFmO7AWeAuweYy3XAwsAAaAXxe4e7l4FU6Ql67fuf59Px5tG0zafh1wGk72QEQk7xQQiIhMMWvtnmhmYAfQgHOn+z+m8Pzbp+pc4/RT4J+Aa40xn7bWRrK0fXv08WZrbU/huzZxuf59W2sHgFL9txGRCqYhQyIiRWCt3QPY6Mt12dpOIz8DwjhDql6RqZExphZ4Y/TljYXvlohIZVOGQESkeMLRR0/yDmNMK3A9cA2wKtrWAv8DfNdaOzjRk2Yocr0ReDfwZmAn8HngAqAJZ6jLz4FvWGuH0xzvdODvgbOBmcA24N9xhrjsAV6y1i4bq1/W2v3GmPuAy3CyJo9kaPpaoBmnHuO+pL5cA/w1znCsBpwC7nuAr42nIDc6rOtvgEtxApRa4DjwKPAda+2fXG33RtsAnB79+43/zLkWcScXFacpUv+EMeYTOPUWNwF/ADqBedbakTTHe1e07X3W2ktz/dlFZPpRhkBEpAiMMQZYH335RNK+1cAzODPgnIAztGgPcCrwr8Cjxph5BeraJThj2a/CuZg+gpPB+CppxupHhz49gnPHvhp4HieA+X/Atydw/lhR7pujhcPpxIYL/cxaG472w2uM+TnOhfIrgT7gWWAG8D7gmWiwMCZjzCuBrTgBwWLgxeifmcDVwL3GmL9wveUJnCCK6HkfIunfdIKGosc6Gn19IPp6B3An0I7z812R4f3viD7mvdBZRCqLAgIRkSlmjDkF58LVg3Oh/2vXvirgVmAJ8ACwzFp7irV2A07B7bPASRSukPZDwN3AYmvtBmvtUpwLY4DXGWPOdPV1MfAToAr4MjDfWnsGMD+6/XUTOP/vcC6q5+NkKBIYY2YAV0Zf3uja9VmcQKEbZ+rVJdG+zAW+hXOH/xfGmPVkYYypifa9Lvq+udbaU62163D+Te7B+Xf7XOw91to349Q+RF/a86LbJsVaezg6neqd0U3/Ez32P1lrg8Avo9vflubnmIcT3A3gfNZERDJSQCAiUhi/McZsSvrzhDHmAPA0cCLOXefXWGuHXO97K2Bw7sy/3lq7P7YjOuTlNUA/cL4x5tUF6HcHzgxJR1zn/U60r5A4tv+TOBfON1trPx+9SMVa2w+8nwncJY++97fRl29N0+RNOJmIh621OwGMMQ3RvgD8dWwdhujxBq21Hwd+jxMUfI7sTgcace7G/517iFT07+RL0ZcmSwZjqsTu/L8u+nfg9heAD7jFWts3td0SkXJT7F9mIiKVaiNwbtKfjcAsnDu27wNOTF7ECueCH+AX1tru5INGA4TfRV++tgD9vj9DfUKsALrZte2q6OMPUho7Q3m+P8E+xC5032iMSa51iw0X+i/XtvNxah3agd9kOOZ3oo+vNsb4Mp3YWvuwtbYFWG2tDaVpMhB99OIEGEVjrd2MM7SpHnh90u74sKop7ZSIlCUVFYuIFMby2DoE0WEolwP/F1iJcwf6D+kKdIE10censxz7KeCdrrb5dCDD9liQ4IP4z7Q8uu3ZDO/J9jNkcz/wEk6h7qXAH6PnXIwzjGgQZx2HmNjfw7OxmoI0noo+NgHzyPxzAk5mwRhzGs78/yujfzbgZG9iSuGm2s+Af8HJCPw3gDFmLU6m4zDO8C8RkaxK4ZeZiEhFs9YOR4exXAgcwikCvd0YU5emeVP0sTfLIWNDQJqytJmolNlqksRmRGpzbevP0Dbbz5BRdP2B2J1t90rOfxE9/y1J2ZPx/J2526dljLnAGPMkziJjPwQ+gzNUyQv8YswfYGr9HGcGqiuMMTOj22LFxL/MkOUQEUmggEBEZIpYaw8A7wIiwFnAN9M0i124NqfZF9OS1LYY3EFApgvsyQQssWFDbzDGVEefx4bB3JjUdjx/Z+72KaJFx/+Lc4f9z8AHcOomWq21Bqd4umREP1P34RR2x2ZRitVeaLiQiOREAYGIyBSy1t6Dc9cZ4IPGmOT54WNj9U/NcpjTo4+78tm38YjeoY8Nu9mQoVnWGX3GOP5OnOlMW4HLotO0nhQ95z3JzaOPJ2Up9I39nQ0AB7Oc+mNADXAvcLG19ofW2sdcqyEvGtcPMjViwdPVxpgTcIY3bbXWTnTIlohMMwoIRESm3qdwZhEC+J7rDjjA7dHHtxljWkhijFnEaAHp/xauizn5Q/TxvRn2v2+Sx48VDr8OZ/5/cK094LIJ6MEp2M403edHoo/3ZqkzAFgWfXw2w3Cbv3Q9d9fhZVxkLg/GOnZsqtZLgWuj25QdEJGcKSAQEZli0bvrsWkyDfBp1+5f4dzxngvcEg0AnIbGrMEJGOpx7p7/fko6nNnXcQp832yM+Wxs9h5jTI0x5pvARZM8/q+AYZzZjN4Q3XZjcqPotJrfiL78T2NMbKYmjDG10b68Dqc+4gtjnDO2mvFbjDGrXMeZYYz5Folz/rtnGYoNQ5qfFODlQ+zYS9PtjE7V+rtofz6JE0CUWq2DiJQwBQQiIkVgrf05zsJjAP9gjFkZ3T6Cczf8ZZwL6j3GmC3GmOeA7TjDZp4F3lLsglFr7W6cMfZhnLH1h4wxj+PMbvO3wJPRpsEJHr8LJwuxAKfm4lFrrc3Q/KvA/+DUCtxmjHkp2pej0b4MAO/JYRjNN4Gu6Dm3GWOeN8Y8i1MMfj3OCtLHo20XuN73PE5tyHxgpzFmU+4/6Zhiszi90RjznDHm39O0iQ0basCZOnZ/mjYiImkpIBARKZ6PAAGcO7vfi2201m4HTgG+gpMtWAMsxlno63rgLGvtvinua1rRwOYC4A6cITQbcBYxezujRdPp1jXIlXu9gRuz9COEc/f+LTg1Bk04wdNR4AbgVGvtLzO933Wc3cDJ0fO+jPN3vwQnEPg4TmASm8rzKtf7duAsxvYizrSmK40xc3P5AXNwI86qyUeB1dH+JfsTozUdGi4kIuPiiUQixe6DiIhUIGPMh3Auxu+x1l5e7P5UsuhKxUdw6gzmWWsnNOWriExPyhCIiMiEGGNuNMY8ZYy5KkOTV0UfNdtN4V2LM1zoNwoGRGS8tFKxiIhM1PPAu4F/McY851qZuRpn3P7rcIqCf1K0HlawaNFzEFgL/Ft0c7r6AhGRrBQQiIjIRP0H8E6csfq7jDE7cYp3V+CsHxAAPmSt3Va0Hla2v8KZwjbm/1lrNxerMyJSvjRkSEREJiQ63eUrcIqjnwBmAifizNLzX8ArrLXKDhTOZpz1FzqA7wIfKm53RKRcqahYRERERGQaU4ZARERERGQaU0AgIiIiIjKNKSAQEREREZnGFBCIiIiIiExjCghERERERKYxrUNQQMaYp4HlQB+wq8jdEREREZHKtQpoBPZYa08dzxsVEBTWcqAl+mdhkfsiIiIiIpVv+XjfoICgsPqAlqamJtatW1fsvoiIiIhIhdq2bRu9vb3gXH+OiwKCwtoFLFy3bh0/+9nPit0XEREREalQ73znO3n88cdhAsPUVVQsIiIiIjKNKSAQEREREZnGFBCIiIiIiExjCghERERERKYxBQQiIiIiItOYAgIRERERkWlMAYGIiIiIyDSmdQhERERESlBfXx89PT0MDAwQDAaJRCLF7pIUmMfjwe/3U19fT3NzM42NjVNyXgUEIiIiIiUkEolw9OhROjo6it0VmWKRSIRAIEB3dzfd3d3MnDmTOXPm4PF4CnpeBQQiIiIiJaSnp4eOjg48Hg9tbW00NTVRXV2N16uR3pUuHA4zMjJCb28vx48fp6Ojg9raWlpaWgp6XgUEIiIiIiWks7MTgLlz5zJjxowi90amktfrpba2ltraWvx+P4cPH6azs7PgAYFCTREREZESMjQ0BEBzc3OReyLFFPv3j30eCkkBgYiIiEgJiRUP+3y+IvdEiik2RGwqiskVEIiIiIiIlJhCFxK7KSAQESlRkUiEY0N9hCLhYndFREQqmIqKRURK1E17tnD3gW0sa5zJp0+5Au8U3i0SEZHpQxkCEZESs6+vk83tL3P3gW0A7O3r4PBAd5F7JSJSvvI1Dr9SF4dTQCAiUkL29Bzjq0/fxQ+2b0rY3jkyUKQeiYiUt9tvv51PfvKTkz7Oc889x7XXXpuwbf/+/RhjuPzyyyd9/GLSkCERkRLyWPteIqTegeocHsz5GD0jQwwEh5lXX9h5q0VESt1TTz3Fxz/+cc4888xJH+sv/uIvCAQCeehV6VFAICJSQnZ0HU27vXM4twxB+2AfX9h8G6FImA+sPY/TZy/JZ/dERMpKOJy/SRnSHWvu3LnccccdVFdX5+08xaAhQyIiJWI4FOTgQFfafV05DBm64+WtfPbJP8RnJUoediQiIvlVVVXFypUrWbx4cbG7MikKCERESsRAcCQ+WKiluo4Pn3BBfN/xof6M7+saHmBr50F+/9IzBe6hiEjpeOCBB3jf+97Heeedx4YNG7jsssv44he/yKFDhwD4zGc+w9vf/nYAHn/8cYwxfOYzn4m/f3BwkB/96Edce+21nHHGGaxfv55zzz2X6667jmeffTbe7ne/+x3GGEKhEADGGC655BIgew3B7t27+exnP8vFF1/MSSedxBVXXMFXv/pVOjo6CvZ3MlEaMiQiUiKGQ8H48xqfnzl1TfHX27uOcMveZzg+1M9581ayumUOXo+Hm/ds4a79LxSjuyIiRXP33XfzsY99DL/fz8aNG2lqauKFF17gl7/8JXfffTe33HILp556Ku3t7WzatIm2tjbOOeccTj31VACGhoZ4+9vfztatW5k3bx4bN24kHA6zdetW7r77bu6//35++ctfsmHDBpYsWcJVV13FbbfdRiQS4aqrrmLmzJlZ+/fwww/zkY98hIGBAYwxbNiwAWstP/3pT/nTn/7Er3/96zGPMZXyHhAYYy4D/gE4GagCNgNfs9beNcHjGWAL8FVr7VfGaPtF4AvAYmvt/jT7zwcezHKIX1hr3zGRfoqITFZCQOD1M6+umWWNM9nb10GECHfu2wrA4+17qfX5OWfuCu47uKNY3RURKZqvfe1reL1ebrnlFlauXAlAKBTi7/7u77j99tv5n//5Hz760Y+ycuVKNm3axMqVK/n6178ef//Pf/5ztm7dyhVXXME3v/lN/H7nknhkZIRPfvKT/PGPf+RXv/oVGzZsYOPGjWzcuJE77riDUCiUcJx0+vv7+fSnP83AwABf/epXedOb3hTv3+c//3l++9vf8u1vf5svfelLBfrbGb+8BgTGmPcAPwGGgfsAH3AxcKcx5q+ttT8Y5/FmAzcDtTm0vRr4xzGanRp9fBjYk2b/Q+Ppn4hIPg2HEzMEHo+Hs+YsZ29fanp5KBTMKRi49aVnuWrpSXntp4gU3937t3Hry88l3EgodTU+P1ct2cDli9ZN+ljt7e34/X5mz54d3+bz+fjbv/1bNm7cyEknZf+9V1tby4UXXsgnPvGJeDAAUF1dzTXXXMMf//jH+NCj8br33ns5evQoV1xxRTwYiPXvU5/6FI8//jg9PT0TOnah5C0gMMYsAL4PdAPnWWufj24/A7gH+LYx5nZr7YEcj7ceuAlYk0PbjwDfYuyfJxYQfMpaq4t/ESkpw6HR6eyqfc6vs1UtszM1z8ltLz+vgECkAt19YHtZBQPgZEHvPrA9LwHBxo0b2bRpE29605t4/etfz4UXXsiJJ57I4sWLedvb3jbm+9/xjnfwjnckDgrp6elhx44dPPigM5hkZGRkQn17/PHHAbj44otT9rW0tHD33XdP6LiFlM8MwXVADfDPsWAAwFr7hDHma8BXgQ/gDOnJyBhTD3wS+DRQj3Mnf3mGtmuBbwBXAsei529K1zbqVCCMMwRJRKSkjEQL1gBqvc6v50UNrXjwpF2bQESmr8sXri3LDMHlC9fm5Vhf/vKX+fCHP8y2bdv4zne+w3e+8x3a2tq4+OKLectb3jJmhgDg6NGj/OIXv+Cxxx5jz549dHV1AeDxeCbVt/b2dgDmzZs3qeNMpXwGBK+KPt6SZt8tOAHBqxkjIACuBb4EHAbegVOLkOk93wcuBO4G3o9TH5A2IDDGVAMnANuttZmn6xARKRL3kKFYhsDr8TK3ronDg+nTyyuaZrG799iU9E9ESsfli9bl5U57uVqwYAG/+93veOyxx7j33nt55JFH2LVrF7/97W+56aab+NznPhefYSidRx99lA9+8IMMDg6yYMECzjzzTFasWMH69evx+/188IMfnHDfgsHyCdJi8hIQGGM8OBfbYWBbmiY7ovtONMZ4rLXZbnUdxwkAvmmt7TPGnJyl7RPAN6y1t0b7ka2b63GKnPcaY74CvBFYhhN43AR8xVrble0AIiKF5B4yVOMb/fV8zfJTuOGF1PkQ/vWsN9BUVcOHNv1P1uOGwmF8Xs0yLSKVxev1cvbZZ3P22WcDcOTIEX72s5/xwx/+kK9//etce+21ad8XiUT47Gc/y+DgIF/5yld485vfnLD/vvvum1S/YnUNR44cSbv/9ttvp6qqigsuuIDa2jHLZKdEvjIEM3CG67Rba1MGXFlrg8aYY8AcnDv4GSspohf3t+ZyUmvt342jj7H6gStxsgoPAPuBM4BPAFcZY86z1rZnO0i0cPo9OZ7zlHH0T0SmuWHXkCF3QHDSzIVctWQDt778XHxbna+Kluq6lGPU+6u5cP7q+IxEACPhEHUKCESkQuzdu5ePfvSjzJs3jx/+8Ifx7XPnzuWTn/wkv/3tb+ns7KSnpyft8J+Ojg727dvH7NmzU4IBgIcecspMk1cmznUo0WmnncbNN9/Mgw8+yNVXX52wb2hoiH/8x3+kqqqKhx9+OKfjTYV8fUM0RB+zLaU5GH1szNM5xysWEDwALLPWvsZaezmwCrgXp3j5+zkcZxlOQJHLn5Y89l9EKlxCUbF3NCDweDy8dukGvn32m1ncMIOmqlr+ZkNqsRrA3Lomrl52Mo3+mvi2QLj80tciIpksXryYjo4ONm3axD333JOw76GHHqKzs5OFCxfS1tZGTY3zu7C3tzfeprW1ldraWo4dO8Yzz4wu6BiJRLjpppv45S9/CcDw8HDCsaurq1OOlc6VV15Ja2srd955J3feeWd8ezAY5Ktf/SqDg4O8+tWvpqqqagI/fWHkK0MQu62VS9VbsW5T/S3wHeCQtTb+L2mtPWaMeRfOsKY3GGPmW2uzzTO1FyeoyMUpKCgQkRy5awhqfam/nmv9VfzjqU65VqY7VX6PD4Aqnw+ihxsJh9K2FREpRz6fjy996Utcd911fOQjH2H9+vUsXLiQ9vZ2nn76aXw+H5/73OcAWLRoEX6/n23btvG+972PM844gw996EO8853v5Ic//CFvf/vbOfPMM6mvr2fbtm3s37+flStXsnv3bo4dS6zPWrZsGS+88ALveMc7WLVqFd/4xjfS9q+xsZF/+7d/47rrruP666/nxz/+MQsWLOCFF15g3759rFixgk996lMF/3saj3wFBLEi3dT89ajYvr48nXNcrLUBnIv+dPsOGmOeAs4HTgNuz3KcG4EbczmnMeZ+nEyBiMiY3LOFVKcJCCB9IPC2VWfw37ueAOANy52yq2qvL74/oIBARCrMZZddxo9+9CNuvPFGnnvuObZv305rayuvfOUr+cAHPsD69esBJxvw5S9/me9+97s8/vjjBAIBPvShD3H99dcze/Zsfvvb3/LUU08BsGTJEq6//nre+973cu2112KtZfv27axd68yM9KUvfYnPf/7z7Nq1i6NHj8ZnJUrnggsu4De/+Q3f//73eeyxx9i2bRtz5szhXe96Fx/5yEdobCzWgJn08hUQ9OAEBbOMMX5rbUJ+2hjjB2YBQyVcuHs4+lhf1F6IyLQ1EkpcmCxX581dSZ2vinp/NSubnWK2KgUEIlLhzjvvPM4777wx211zzTVcc801Cdv8fj/vfve7efe73532PX/4wx9Stp100knccsstCdtaW1ux1qY9hjGGb33rW2P2rxTkZfhOdNagrTgrE6dbSMxEz/Vcmn1Twhjz78aYm40xczI0ia11sH+q+iQi4jbsunCv8eYeEPi8Xs6cs4z1MxfEt7kDAvf6BiIiIsnyOZ7/rujj1Wn2xbbdkcfzjdc50X5clbwjuiryqThTnm6e2m6JiDiGgumnHZ0Id1GyMgQiIpJNPgOCnwBDwKeNMafHNhpjNgKfwpll6AbX9pXGmLXGmKkquv3P6OM/RVc4jvVjNk7ffcC/pps2VURkKrhnGarzTW72iWqfK0OgWYZERCSLvK1UbK3da4z5BPA94BFjTGxVh0ui53mXtfao6y33AkuB95Jjke4k/Qi4HHgT8Iwx5s84dQ8X46yN8Gsgfbm4iMgUGEyoIZhcQJAwZCiaIQhHIvxuz9McHezlzStOZ3ZdaRW1iYhIceR1ClBr7Q04Q3IeBc7DWfRrE3C5tfbn+TzXBPoWBq4FPgg8izOE6FKclZX/CnirtVZ5dREpmoQMgX+SGYI0RcUvdB7i7gPbeabjAF95+g6ODRVl0jcRESkxecsQxFhrbwNuy6HdshyP90Xgizm2zXrMaPHzfzI6fEhEpGQMugKCdOsQjEeVu4YgWlS8s2c0STsUCvKPT/yBSxYYLpq/mrn1zZM6n4iIlC+tZS8iUgLCkUjCOgSTLSpOHDLkHHd/X1dKu/sOWr71/H0MuYIREREpvkgkl/V+80MBgYhICXAPF6rx+vF6JvfrOd2QoZf7OtK27Rwe4N4D2yd1PhHJn9gChCFNGTythcNhIPPK9PmkgEBEpMj29h7n+kd+G39dO8n6AUjMEAwEAwwFA/QEhjK2/9PBnQQ1PalISaitrQWgp6enyD2RYor9+8c+D4WkgEBEpMj+uO+FhNe1k5xhCKCpavQL5KljL9M+RgFxb2CIQwO6+BApBTNmzADgyJEjtLe3MzQ0RDgcntIhJDL1IpEI4XCYoaEh2tvbOXz4MDD6eSikvBcVi4jI+DzfeTDhdT7u1J86axG/3fMUI+EQx4f72XJ835jv6Q8OT/q8IjJ5zc3NDA0N0dHRwbFjxzh27FixuyRFMnPmTJqbCz/pgwICEZEiGg4FU1YSPj7cP+njNlfXsaZlDs93HgJge9eR+L4zZy+je2SQ3sAQoUiEI4NOZmAgqHUZRUqBx+Nh7ty5NDQ00NPTw8DAAMFgUBmCacDj8eD3+6mvr6e5uZnGxqlZL0YBgYhIER0a6KZQX/Ezahriz3f1tMefL2ho4S/XngPAjTsedQUEmmlIpJQ0NjZO2QWhTG+qIRARKaID/V0p2y5fuDYvx26trku7fXlTW/x5vauAWRkCEZHpSRkCEZEicgcEVV4fZ89ZzuWL1uXl2DNq6hNe+zxe3rpyI2tb58W3Nfir488VEIiITE/KEIiIFNGBga7487805/D21WfSkuHO/ni11iQeZ/2M+Vwwf1XCtnpXQPDY0T15Oa+IiJQXBQQiIkV02DXV58KG1rwee05tU8Lrc+etTGlT5woIOoYH2Nz+cl77ICIipU8BgYjIFDg21McNLzzIzXu2JMwUMuhaodi9dkA+zK5r4lWLT2BRQytvW3kGJ7ctSmnjHjIE8IPtm3j4yG56RjIvYiYiIpVFNQQiIlPg35+/n8ODPTwDbJi5kFUtswESphyt8ub/Hs0blp3CG5adknF/tTf1a+C/djzK3LpmPnfaqxNWPBYRkcqkDIGISIHt6D7K4cHRoUEHo3UD4UiYsCtb4PNM/a/khQ2t+NOc98hgD/ce2D7l/RERkamngEBEpIB2dB3hG8/ek7AtGA4nPIIzw5DH45nSvgE0VtXw0fUX8Zol67kmKZNwy95n6Ria/CJpIiJS2jRkSESkgB48vCtlW390es9AQkBQvPsza1vnxacivWSh4ZOP3sRQKEiECHt6jzOztmGMI4iISDlThkBEpAAikQjPHN/PE+0vpewbCA4DEIyM1g/4PaUxVr/K62PDzIXx1+4aBxERqUzKEIiIFMBj7Xv5iX0k7b7RDIG7oLg0AgJILDQeUUAgIlLxlCEQESmA7V1HMu6LrQgcdF1s+4s4ZCiZOzgJhINF7ImIiEyF0vkGEhGpIMeH+jLu6w+kqyEooQyBzx0QOH10r50gIiKVRQGBiEgBtCcFBCuaZsWf96fNEJROQOAOTo4O9vDFJ2/jc0/eSvtgbxF7JSIihaKAQEQkz7Z1HqZzeCD++pWL1vH21WfEX/cFhohEIgk1BOnWAiiWaldA8NCR3Rwa7KF9qI+HjuwuYq9ERKRQSucbSESkjEQiEX656wn++em72NNzLGHfz3Y+Fn/eVFXDG5efyoL6Fmp9VYCTITg40E0wUppDhjJlK55MM2OSiIiUPwUEIiIT8FzHQe4/tJO9fR38lysAgMTZg+bWNQPg9XhZP2N+fPszxw8kZghKqKi4OkNAMKOmfop7IiIiU6F0voFERMrE8x0H+d4LD8RfHxroTtg/GArEn//l2nPiz0+cuSD+/OW+jpSViktFpr50uYZBiYhI5VBAICIyDgf7u/ne1gdStsdm4QmEQ/E7/16PhxnVo3fVF9a3jh5noLss1iFw6xwZ1GxDIiIVSAGBiEgW7YO9bOs8TDh6IXzPgW2ESb0o7h4ZBEbXGABo8Ffj8Xjir+fVNycc151JKJWViiFzcBIIhxJ+PhERqQxaqVhEJIPO4QG+sPl2QpEwb15xGksbZ2acaefTj9/CR0+8iJk1DfFt9f7qhDY1Pj+zahs4NtRPmAgH+7vi+6pKqIYgW7bi0EAPq1pmT2FvMotEItx70LK5/WUWNbTy1pUb8ZXQ36OISLnQb04RkQzuePl5QtGZgH6z+yn+a8ejWdvfe2B7wh305IAASAgYOob7489LdR2CZLb78BT2JLuX+jr4ze6n2N17jAcP72JH99Fid0lEpCwpIBARyaA/aXhMbLGxWl8V/3Lm1Zw5e1nC/pf7Onng0I7463QBQZ1rW09gOP68pGoIfFkCgq7SuehOXvytLzicoaWIiGSjgEBEJINMBbTvWn0WM2rquWjBaur9VfHtfcFhHnfN1R9bd8Ctzjc6UrM3MBR/Xi5DhrpGSmemIfdKzwBh17oOIiKSu9L5BhIRKTHpiodftfgETp+9BICVzbP5+iveyJqWOWnfn3wHG6DWN5oh6B0ZDQhKuai4qao2/nwgGEhuTiAc4k8Hd3DfAZtykV5IgZSAQDMgiYhMhIqKRUQySL7A9ACXLlibsM3n8XLR/DVpx69vnLUkZVudK6PgXqm41p+aTSiW5IXJ5tc309vtBC8DwREikUjC7En/ue3PPNdxEHCGSb1i7vIp6WdyQBBShkBEZEKUIRARySCSlCFoqqqlubo2pd3ps5ckrEIcc87cFSnb6tIMI/IA62csSNleLNW+xHtFbTUN+D3O10UoEk64ED8y2BMPBgAODHRNSR8BAuHEACCkDIGIyIQoIBARySCUdMHZUFWTse3581YlvH7n6jNpShM8pMsErGyeTVttQ8r2Yqn1VXHyzIWAE6ycMWdpQoG0eyal9sHEYVHJd+0LKXXIkDIEIiIToSFDIiIZDIWCCa+zFdue1LYQL5543YF7VWK3dBmChQ3p2xbTh064gJf6OmitrqO1pp56fzU9gdFhQ601zgrMx4aKFxAk1ysoQyAiMjHKEIiIZOBeSRiyzwTk9Xj525MuZUF9C+fNW8mypra07erSZAjm1jVNrqMF4PF4WNbUFr/wd/fbXVhczIBARcUiIvmhDIGISAYDSesQjDUT0JqWOXzh9NdkbZMuQzC3rnn8nZtiDa4hQ4Oh0b+XY0P9Ce0CIQ0ZEhEpN8oQiIikcaC/i+6RwYRt/jysFZCuhmBefekHBO4F1dwLtrlXWwYYmcoMQURFxSIi+aCAQEQkjYeP7E7ZFptpZzLcc/rHjjkzOiynlCUUFQdGAwL34mpQ7BoCZQhERCZCAYGISBp9geGUbenG/49Xc1XqzEPePAQahTazZnQWpF/t3syO7qNEIhF6k/6eVEMgIlJ+Sv9bSESkCJLvPnvw8NolGyZ9XPeCXpC4OFkpW5FUJP37vc8wHA6mXJQXMyBQhkBEZGIUEIiIpOG+UD9t1mI+ffLlzM7TbEDnzVsZf37R/NV5OWahLU0KCHb1tPPb3U+ntJvSGgJlCERE8kIBgYhIGu4MwTlzV7C8eVbejn310pNZ0TSL5U1tXLlkfd6OW0g1Pj+ntC1K2Pbnw7tS2gXCwZRthaJZhkRE8kPTjoqIpBFwrVI81nSj49VUXcunT3llXo85Fd6/9ly+/NQdHBnszdgmEJ66i/JgWLMMiYjkgzIEIiJpuIcM5WO60UpQ5fVx9bKTs7YpboZAAYGIyEToW05EJA33kKF8TDdaKda0zMm6v5g1BCoqFhGZGH3LiYik4R6O4vfmd8hQOWusqmVRQ2vCtlpfFbG5k8KRSE4X5s91HOCP+19IWQ06V88c38/xpEXRVEMgIjIxqiEQEUlDQ4YyW9c6j/39XfHXG2cv4fGje+PZgUA4hM+X+e/s8EAP39v6ABGga3iQt6w8fVznv3nPFu7a/0LKdtUQiIhMjL7lRETSSBwypAyB25qWuQmvG/w1VHlH7y8FQqN/d4FwiJ/tfIwfbNtEX3RV402HdxG7dL/voB3XuSORCA+mmd0IVEMgIjJRyhCIiKShDEFmixpbE17X+6up9vqIDeBxj+1/7OgeNh1+EYAGfzVvX31myuJskUgkZVsmfYHhjMOMVEMgIjIx+pYTEUnDnSGoUkCQYEZ1fcLrQDhElW80izLimmnozn2jQ3sePLyL/sAwu3uOJby/e2Qw53MfGeyJP1/cMIMPn3BB/LUyBCIiE6MMgYhIGsECrkNQ7pLv5tf5q6j3VcVfDwQDAAwGRzg21JfQ9gubb6c3OnQo5shgL601iUFGJrt62uPP59U343X1RUXFIiITo4BARCpe5/AAu3raWVDfwsKkGXIyCURcNQTKEKR41+qz+OnOx2iqquHcuSvY2nEwvu/uA9toba9Pe+c/ORgA+OZz9zKjpp6rlmzg3HkrM57zngPbuXnvM/HXc+ua8bmmhFVRsYjIxCggEJGKFgiH+OZz93I0urrujOp63rnmTNa1zuO/djzG4cEe3rX6rIRAIRyJJAw/8WkdghTnzluJaZ1LU1UtNT4/9f7q+L6nju0b9/E6hwf4/UvPZg0IHorWIsScMXsJXa6gQzUEIiITo285EaloO7uPxoMBgM6RAX6/91m2dx3h0aN72Nt7nP/73H0J73G393u8ORe8Tjezahup8Tn3lRqqaiZ9vO6RQUZCmVc67hweiD9/3dKTmFffgtcVrKmGQERkYhQQiEhFe7z9pZRtPSND7OvrHH0dGOJAdF79nd1H+cLm2+L7tChZbtwZglycOGN+2u2ZCoyHQ0EGQ05tgs/j5crFJ0afjwZryhCIiEyMAgIRqVgH+7t45MjulO1DoUD84jImFhDcuOPRhO2aYSg3DWMEBAvqW+LPP77hUj62/mJm1TaktOvMEBC4A4XW6rp41iaxqFgZAhGRiVANgYhUrN29x+PP22oaOD7szJQ/FAomDD+B0akyk2fF0QxDuRkrQ/APp74K23WE1po6FjXMAOCNy0/jP7f9OaFdV9K/S3y7KyBoqa6LP/dpyJCIyKTp1peIVCz3AlknzpiPP3rxGCFC+1BvQtvhDGPXNcNQbrIFBK9ctI4qr4/1MxfEgwGAU9sWcfWykxPadmXIELgDhdYMAYGGDImITIwyBCJSsRIWF/P5qPVV0RccBuDQQE9C25FoW7/Hm7RKsTIEE/H3p1zBy32dHB/q45WL1qVt4/F4ePXiE/Hi4Xd7twCkZG5iOkdGtze7AgINGRIRmby8BwTGmMuAfwBOBqqAzcDXrLV3TfB4BtgCfNVa+5Ux2n4R+AKw2Fq7P0ObjdE2ZwCNwFbg29ba/55I/0SkdI24AoJqr59avz8eEAwERxLaxjIE1T4fwaB7UTJlCHKxpmUO1V4fI+EQr5iznGVNbSxrasvpvTNci5J1jaQPCNwzP82ua4w/96qoWERk0vL6TWeMeQ9wN3AO8BjwCHAucKcx5gMTON5s4GagNoe2VwP/OEaby4GHgVfjBAJ/AjYAvzDGfHW8/ROR0uYeMlTl9VLrWk03WayGIPkms+4656ahqoZPnfxK3r7qDN6y8vRxvdc9BKhrOP2QoSMDowHBvLrm+HPVEIiITF7eAgJjzALg+0A3sNFae6W19gqcgKAH+LYxZuE4jrce2ASkzzUntv0I8GuyZDyMMXXAz6MvL7fWXmqtvQonINgP/IMxZnzfYiJS0twBgd/royZbQBAKEQiHUmYfmllbn+Edkmxx4wwumL963FOQtuaQITgyODrEa64rIFCGQERk8vKZIbgOqAG+Za19PrbRWvsE8DWcu/xjZgmMMfXGmM/jZBjWAHuytF1rjLkd+C5OINKbqS3wTmAO8Atr7Z9c/XsR+HT05cfG6p+IlI9AwpAhH7W+zKMkh0NB/v35+xO2LWucyZWL1xeqexKVkCEYGUy5098XGKYnMAQ4Q7jaXEGaMgQiIpOXz4DgVdHHW9Lsi217dQ7HuRb4Ek5W4Rrgp1nafh+4EmeY0ulAxwT7dxsQyrF/IlImEoqKvb6sQ4Yeb9+L7T4Sfz2/rpm/P/VVrGieVdA+ClT7/PF1DMKRCL3Ri39wgoFPPHpT/PW8+uaE1Ym9uDMECghERCYiLwGBMcYDnACEgW1pmuyI7jsx2jab4zhFv6uttTeP0fYJ4HXW2ldaa18eo+2J0cfnk3dYa3uAg8BsY8zcMY4jImViZBwBQbLz568qRJckA3dh8RFXAfFTx/YltFvamFio7PO6MwQaMiQiMhH5mmVoBs5woXZr7UjyTmtt0BhzDGfIThPO3f+0rLW3ArfmclJr7d+No4/zo4+HMuw/BCwG5gJHMrSJFU6/J8dznpJjOxEpgEBKQJD4K+/ktkU8czx1QrJ/O+sNCVNbSuEta2pjf3S16Bc6D7GmZQ4ARwcTvy7m1zcnvNa0oyIik5evgCC2/nz6ajBHbOqIRrIEBAUU62P6KSwS+5fNMuDCfHRIRAorOSBwT1c5s6aeyxauTQkI5tU1KxgoghNnLGDT4RcB2NZ1mKtxFizzJU37etLMxLkp3NPCDoeD3HfAEoyEuXSBScgeiIhIZvkKCGLfurncninWb+gQ4LHWjtXHsfq3F3ggx3OeArTk2FZE8iw5IDh7zgrah/qIRODyhWsZDqeuTlylhciKYrlrzYLjQ/3x5+71IjbMXMDcpAyBPzoUbCg6O9Svdm92tnu8XLLQFLLLIiIVI18BQey3d7bbarF9fXk653j1A63GmFpr7VCa/Tn1z1p7I3BjLic0xtyPsgkiRZMyZMhfxbUrRmcXdl94xvh1V7komqtGl5vpCwwRioTxebz0uwKCM2cvy/DemnhAEPOr3ZsVEIiI5Chf33w9OBfcs4wxKUFGdNssYMha25Wnc47XwejjvAz7x6oxEJEykxwQJKvxpW5ThqA4fF4vDf4awEk19wVSV5TOtL5BU/WYa1eKiEgWeQkIosNwtgI+nLUDkpnouZ7Lx/kmKDa70AnJO4wxzcACnKLojAXFIlJeAuHRWWfSXehXe1OTpH4FBEXT7Lqw7xlxErnuDEFDpoCgKn1AMBhMmeNCRETSyGdu/K7o49Vp9sW23ZHH841Xtv5dhRPMFLN/IpJnAVeNQNqAIM1CZcoQFI972NBtLzv3jxIyBFXjCwhisxaJiEh2+QwIfgIMAZ82xsQH6RpjNgKfwpnF5wbX9pXRlYanquj2JuAo8B5jzJWufqwA/gUnS/3NKeqLiEyBsTIEAB9ad37C6yqPagiKxf1vtOX4fja3v8yxodGyrswZgpq02/f1dcaf94wMMhJKLSIXEZE8BgTW2r3AJ4Bm4BFjzF3GmLuAh3HWHviAtfao6y334ixi9oZ89WGM/vUAfwV4gNuMMX8yxvwBZxjTIuCz1tpnp6IvIjI1xsoQQOq4dA0ZKp7WmsR5KX6wfVPC67pxDhn63d4tdA4P8PjRvfzdYzfz2Sdv1TAiEZE08norzFp7A87wm0eB84AzgE3A5dban+fzXBNhrf0Dzqw//wucGn3+LHCttfafitk3Ecm/XDIEycOGNGSoeE5tW5xx3/KmtpQ1CWLm1DWl3R4Ih/inp+/ix/ZhALpHBtl8LHVR++c7DnLD1gd4/Oje8XdaRKQC5Gva0Thr7W3AbTm0W5bj8b4IfDHHtmMe01r7MPCqXI4nIuUrFA4TijgBgYfEBazckguLqzTtaNGsn7mAfzz1VTxyZDf3HdwR376sqY3rTrwo4/vcaxgk6wkkzjIddAWJAJFIhJ/ufIzukUGe6TiAz+Pl9NlLJvYDiIiUKX3ziUhF6hwZXTi9qaoWj8eTtl1NUoZAQ4aKa0njTN604jRm1NQDzr/Px068mMYMdQIADVU1tNU0ZNzvlrzOxHAoSPfI6AL2mw7vmkCvRUTKmwICEalIHa5Fx9pqM18sVicFAFUeBQTF5vN4+fAJF3DR/DVcd8KFNGSYXchtw8wFOR3bvTYFQF9wOOH1C12H45klEZHpQgGBiFSk48OjAcHMLHePlSEoTUsaZ/IXqzaypnVuTu3fsOwU5kZrCc6es5wzZi9N224kKSDoDaQuXP+tZ+8bZ29FRMpb3msIRERKQcdwbhmC5CJinzf90CIpbbX+Kj5zyhUc7O9mRXMbv3rxqbTtAqGkDEFgOKXNzp6jhMJhfKonEZFpQr/tRKQidQyP1hBkyxAk1xZEIgXrkhRYvb+aVS2z8Xq8NGYYZpQyZChNQACJAaWISKVTQCAiFen4kHvIUH3O7wsrIqgIDf70Rci5BgRHh3rz3icRkVKlgEBEKlKuQ4aSRVBBaSXINCtRrgFB+2Bf2u0iIpVIAYGIVJxIJJIwZCjXKSlBGYJKkSkgSC4qdmcCZrgySQf6uwrSLxGRUqSAQEQqTm9gKH4nuM5XRZ1/7GkrYxQQVIZ5dc1pt7szBN0jg2w5vj/++tIFJv78yWMvMRIKFq6DIiIlRAGBiFSchOzAOIYLAcyJTl0p5W1GhrqRF3vaOdjfRTgSZmf30XgAuKJpFpcuXBvPJg0EA+zr75yy/oqIFJMCAhGpOO2Do8NAss0wFPPhEy6g1lfFqubZnDVnWQF7JlMl08rUXSODfOmpO/jlric5ONAd376yeTZejychIBwMBgreTxGRUqB1CESkIhwe6OGhIy8CsL3rcHz7vPr0Q0fcTm5bxDdecY0WJaswH1h7Hj/YvintvgcP72J5U1v89cKGFgBqfVXxbcMaMiQi04QCAhEpaw8dfpE/HdyRcXhHprHkyRQMVJ7TZi3mS6e/hiODvdzwwoMp+/f0Ho8/n18fCwhGvxaHQsoQiMj0oIBARMrWSCjIL198MmUqSbdcMgRSmTweD/PqWwiNUSjuxcOCaEBQ48oQKCAQkelCNQQiUraGQoGswYDf441f6Mn0VT1G9mdefTPV0cxArd+dIdCQIRGZHpQhEJGylXznd1lTG5/YcCnPHN/Pnw7t4Jy5K8Y15ahUpuThYG01DRx3LVy3zFVLUKsMgYhMQwoIRKRsBcOJqwp/8qTLqPL6OGPOMs7QbEESVeVNTIZ/8fTX8NjRvfx81+MAnD1neXyfu4ZARcUiMl0oIBCRshWKjAYEc+qaqFJhsKRR56+mwV9Df3CYBn811T4/589fxbz6Zqq8voQMQU3CLEPKEIjI9KCAQETKljsg8HlUEiXp+TxePnLiBTzZ/hLnzF0Z3766ZU5K28RZhpQhEJHpQQGBiJStxIAg/UJUIuAsPLayefaY7VRDICLTkW6piUjZUoZA8q1GGQIRmYb0DSoiZSsUHp1lSAGB5EPCSsVBZQhEZHrQN6iIlC1lCCTf6vyjAUF/cKSIPRERmTr6BhWRsuUOCPxe/TqTyWuuqo0/7w0ME46Es7QWEakM+gYVkbKlomLJN7/XR4O/BoAIEXoDw0XukYhI4SkgEJGyFQpryJDkX0v1aJagZ2SoiD0REZka+gYVkbIViqioWPKvpbou/rx7ZLCIPRERmRr6BhWRspUwZEg1BJIn7gyBAgIRmQ70DSoiZSuoGgIpgGZXhuCnOx/jG8/ew5CmIBWRCqaAQETKVmINga+IPZFKsq51XsLrHd1Hebz9pSL1RkSk8BQQiEjZ0ixDUgjrWufx6sUnJmzrGO4vUm9ERApPAYGIlC3VEEgheDweXr/0JFY3z4lv69P0oyJSwfQNKiJlS7MMSaF4PB4uXrAm/loBgYhUMn2DikjZShwypF9nkl+NVTXx570BrUcgIpVL36AiUraCYdUQSOG4A4J+ZQhEpIIpIBCRsqUMgRSSOyDoCyogEJHKpW9QESlb7oDAr6JiybNGvysgCIwQdtWsiIhUEn2DikjZUoZACsnn9VLvrwIgQoQ+1RGISIXSN6iIlK1QWLMMSWHNqm2MPz862FfEnoiIFI6+QUWkbIWVIZACm1PbFH9+ZLCniD0RESkcfYOKSNlKXJhMswxJ/s2ta44/PzrYW8SeiIgUjgICESlbQWUIpMDm1LszBAoIRKQy6RtURMpWKKyAQAqrtbou/rxfU4+KSIXSN6iIlK1QREXFUlhVXl/8eSAcKmJPREQKR9+gIlK2EmsI9OtM8q/a648/HwkpIBCRyqRvUBEpW4nrEKioWPKv2pUhGAkHi9gTEZHCUUAgImXLPYTDPbRDJF+qfaMZAg0ZEpFKpYBARMqWAgIptCplCERkGlBAICJlSwGBFFrCkCHVEIhIhVJAICJlSwGBFJr7cxWMhBNWxxYRqRQKCESkbCkgkELzeDxJw4aUJRCRyqOAQETKVsC1MJkCAikU99SjAQ0bEpEKpIBARMpWwFXkWa2AQAqkWhkCEalwCghEpGy5MwR+BQRSINU+92rFmmlIRCqPAgIRKUvhSDi+MJkH8Hv060wKI2G1YmUIRKQC6RtURMpScnbAo5WKpUCqNPWoiFQ4BQQiUpZUPyBTxT1kSIuTiUglUkAgImVJMwzJVNG0oyJS6RQQiEhZct+pVUAghZRQQxBShkBEKo8CAhEpS0FlCGSKVHlHvyqDWqlYRCqQAgIRKUvuDIGmHJVC8rlmsAqFFRCISOVRQCAiZcldQ6CiYimkhIBAGQIRqUD+sZvkxhhzGfAPwMlAFbAZ+Jq19q4JHs8AW4CvWmu/kqFNK/D3wBuAxcAR4CbgS9banjTt7wUuyXLa1dbaXRPpr4hMrYBqCGSKeBUQiEiFy0tAYIx5D/ATYBi4D/ABFwN3GmP+2lr7g3EebzZwM1CbpU0z8ABwEmCB24DTgY8DrzLGnGOt7U562ylAH/D7DIftHU8/RaR4NMuQTBWfd3SNi1AkUsSeiIgUxqQDAmPMAuD7QDdwnrX2+ej2M4B7gG8bY2631h7I8Xjrce7yrxmj6VdwgoEfAh+01oaNMX7g/wHvjO7/qOu4S4GZwD3W2neM40cUkRIUCClDIFNDQ4ZEpNLlo4bgOqAG+FYsGACw1j4BfA3nLv8HxjqIMabeGPN54DGcYGBPlratwPuBHuAT1tpw9JxB4MNAJ/CXxpgG19tOjT5uzvknE5GS1TkyGH/eWFVTxJ5IpVNRsYhUunwEBK+KPt6SZl9s26tzOM61wJdwLvKvAX6ape0FQB1wn7U2YZiPtbYPJzNRB1zo2qWAQKSCHBoYHRE4v765iD2RSqcMgYhUukkFBMYYD3ACEAa2pWmyI7rvxGjbbI4DX8Ap7L15jLYnRh+fz7B/e/Rxg2tbLCCYaYy5yxjTbozpNcb8yRhzxRjnE5ESkxgQtBSxJ1LpEgMC1RCISOWZbA3BDJzhQu3W2pHkndbaoDHmGDAHaMK5+5+WtfZW4NYczzs/+ngow/7Y9rmubbGA4Ps4gcSDOEOTLgIuMsZcb6399lgnjhZQvyfHfp6SYzsRGYdIJMKhgdFfJwoIpJASi4qVIRCRyjPZgCA2Rn8gS5vYQN9GsgQEeT6v+5wYY2YBi4Ag8C5r7S9jDY0x1wK/AL5hjHnAWrtljHMvI3EokohMsZFwiKFQAAC/x0tzVcYJyUQmTUOGRKTSTTYgCEUfc8mh5nMRtFzP6wWw1h6LTmU6w1q7093AWvtrY8zZwPXAB6N/stmLM91pLk4BdOtSJM8GgqMJyXp/NR7PWCMSRSZORcUiUukmGxD0Rx/rsrSJ7eub5LnGc96Uc1prjwHHMrS/FScgOH2sE1trbwRuzKGPGGPuR9kEkbxzBwQN/uoi9kSmA79qCESkwk32rn0PzsX5rOgaAAmi22YBQ9barkmey+1g9HFehv1j1RgkOxx9rJ9wj0RkyvS7MwRVCgiksHxeDRkSkco2qYDAWhsBtuKsTJxuITETPcdzkzlPGrHZhU7IsH9d9PE5AGPMZcaYnxljrs/Qfnn0cX9+uicihZQ8ZEikkHweFRWLSGXLx7j+u6KPV6fZF9t2Rx7O4/YgTuHwZUmLj2GMaQQuwxku9Ofo5jrgHcDfpMtkAO+KPv4xz/0UkQLQkCGZSioqFpFS1j0yyEOHXyQYDo3dOIN8BAQ/AYaATxtj4mPwjTEbgU/hXLjf4Nq+0hiz1hgz4WJba20/8F84057eELvIjz5+D2gFfuBatOyPwEs4MwT9qzHG5+rPe3EWRTsE/HiifRKRqaMMgUwlrUMgIqUqEonwzWfv5ac7H+PFnkylsmObdEBgrd0LfAJoBh6JLvp1F/AwztoDH7DWHnW95V6cRczeMMlT/yNgce7uW2PMb1yvn8JZ5CzWxxHgbThZg7+Ntr/JGPM08P+i299ore1GREreQEABgUwdzTIkIqVqOBTk8ODkZ/XPy1Sg1tobgKuAR4HzgDOATcDl1tqf5+Mcac7ZAZwDfAeoip4/DPwrcIm1ti+p/cPAacBPcYqHr8JZMO1G4CRr7SOF6KeI5M9QKMCvXtzM7ftGFylXQCCFpoXJRKRUjUximJDbZKcdjbPW3gbclkO7ZTke74vAF8do0wH8TfRPLsfcCbw7l7YiUnruP7iT+w7ahG2NVTVF6o1MF6ohEJFSNZm6Abd8LhYmIlJQR5LSorNqGzihdX6G1iL5oRoCESlV7gyBdxKLdOYtQyAiUmjuYuKL5q/mrSs3apViKThlCESkVAVcAUGV15elZXbKEIhI2eh3FROfOmuxggGZEioqFpFSFchThkABgYiUDU03KsWgomIRKVXugMCDAgIRKWOBHIuiEhckUzGxTA3VEIhIqUoICCaRNFdAICJF9aPtD3H9w7/hvgN2zLbKEEgxqIZARErViDIEIlLuDg1080T7SwQjYX61e3PWtsFwiOFwEAAvHmp9mhNBpoYCAhEpVYHo9yKohkBEypS7SDidwWCAFzoPMRwKJmQH6vzVKiiWKeNzfdZUVCwipSTg+p00mQyBbrGJSNG4izUBIpFI/EI/HInw9WfvZn9/F81Vtbx68Ynxdg3+qintp0xvqiEQkVLlzhCohkBEylIonHhxNez6xXZ8qI/9/V0A9ASGEoYUqX5AppLPqyFDIlKa8pUhUEAgIkWTPLvQUDAQf344aVVitzoFBDKFVEMgIqVKNQQiUvaSA4LB0GhAcGSwN+P7alRQLFPIXUMQCId4ofNQEXsjIjJKswyJSNnLliHY3XMs4/vqfKohkKnjzhAAfOf5P7Gvr7NIvRERGaV1CESk7GXKEOzv7+SpYy9nfF+tioplCnk8HlY2z4q/jgA37ngk5wX1REQKJRAa/T3kVYZARMrRSHKGIBoQbDr8IrFy4+VNbTQmrUpcqwyBTLHrTryIyxaujb/e39+V02J6IiKFFHDVNU1mOm4FBCJSNO5iKHDWHQiFwzzZ/lJ82+uXnkx9UkZAAYFMtXp/NW9afiqzaxvj2/b3a9iQiBRXIOSadlQZAhEpR4GkRZ5+uvMxPvzQ/9AbGAagtboO0zonZYiQagikGDweD29bdUb8ddfIYBF7IyLTXSQS4ZmOA/HXPmUIRKQcJWcIkp05ZxlejzclI1Dr1yxDUhyt1fXx5wf6u+PD3EREptoPtz8Ur2Wq8fknNSW3AgIRKZrkDEGyk2YuBFIzAhoyJMUyo6Yu/rw/OMwnHrlJQ4dEZMqFImGePr4v/vrkmYu0DoGIlKdsGQIPHpY0zgSgRgGBlIjkz14wEmbT4ReL1BsRma66hgcJRyLx129aceqkjqeAQESKxj3L0BuWnZywb159c3wBsrrkGgJNOypF4vF4qPL6Erb96eAOPvPYLdz60nNF6pWITDfHh/vjz5c3tdFSXZel9dgUEIhI0QRdAUFLdR1z65rir8+ftzL+PDkNOtlffCKTsXH20pRtnSMD3PbycwwGVVMgIoV3fKgv/nxmTcOkj6eAQESmxBPtL/H5J2/lNtddVHeGoMrr491rXsHGWUt45+ozuXiBie9bWN8af376rCUKCKSo/mLlRt6x6sy0+4ZVZCwiU6DDlSFoq518QKCpOkSk4MKRMD/a/hAAt778HOfPX0VLdV3CSq9VXh8rm2ezsnl2yvvPmrOMY8N9RCLw2iXrp6zfIunU+PycP38VjxzdzYs9xxL2BSPZC+VFRPKhY3gg/nxmTX2WlrlRQCAiBbevryvh9ZGBnpSAoNqb+ddRtc/PG5adUqDeiUxMukxVMGn1bRGRQnAPT2zw10z6eBoyJCJEXDMV5NuW4/v5py13JWxrj4597IsuQAZQ7Uss1BQpda1pAoKxptIVEcmHQdfwxHxMtKEMgcg0FgqH+f62P7Orp513rj6T02Ytyfs5/rD32ZRt27oOs6ChhYMD3fFt8+tb8n5ukUJKlyEIKEMgIlNgyJUhSF6rZyIUEIhMY08f38ez0WXPf7v7aU5tW4xnEgubpHNgoCtl2xPtL/FE+0vx17NrG6mfxAqLIsXQVFWbsk0BgYhMBfcq6bV5yBBoyJDINOZeUOn4cD87u4/m9fi5DkWKLUAmUk6S1yMABQQiMjUGEzIEk7+hpoBAZJqKRCLs7T2esO2mvVvyeo6hUOaViN3OSDOvu0ip2zBzIfVJd+ZUVCwiE9U5PMBzHQcI5VCL5K4hSF5BfSIUEIhMU3cf2J7wCwVgb+9x+gMjeTuHu2h4Zk09Vyw6IaXNvLpmTp21OG/nFJkqdf4qPnfalfEVtUEZAhGZmMFggH/Z8ke+u/UBfrHr8axtw5FIwpondf7JVwAoIBCZhg4P9HDTnqfT7hsO529hpf7gaEDQ4K9JO8TirSs35u18IlNtZk0Dp7aNBrSBLOsQHBns4ZvP3stPdzya0x1AEZk+7j+0g66RQQAeOrI7a9vhUJDYgNwarx+vZ/KX8yoqFpmGHj+6N+O+kRyH+eTCnSForKpJmVq0raaBdTPm5e18IsXgDnQzDRmKRCL8y5Y/MhAMYLvh9NlLOHHGgqnqooiUuOc6DubcdijPU46CMgQi085IKMifD+/KvD/LkIfnOw5y74HtOQcNfcGkgCBp8bEL56/O6TgipazKO/pVmm7I0GAwwB37nmfAVQR4bKh/SvomIuWhO5odyMVgcHRobz7qB0AZApFp58ljL9MTGIq/ftPyU3ny2MvxAuPhNBf7vSNDfPnpO+O/sI4P9XPtytPHPFd/wD1kqJrqpCFD6YYQiZQbv+tznLww2UBwhP+z+Q46RwYStud3cl8RKXfhpOGGoUgYX3QoUMdwPy90HmIoFOTM2UvpdX235mPKUVBAIDItHBro5shAD+tnLuCFzkPx7VcvO5nLF61jq2tbuoDg3oM24e7FvQctb15x2phrFqQOGUr8lZP8WqQcVSUEBIkZgqeOvZwSDED2TJyITD/J371DwSANVdUcGejhy0/fGf/d8uzxA8yta4q3m1fXnJfz69tYpMJ1jwzylafuJBgJ89ol67FdR+L7TpwxHyBhlpR0FypHB3tTth0b6md2XWPWc/e70poN/pqUDEHya5Fy5PdkriF4/OhLyc3TthOR6S15mu7hUICGqmp29rQn3GjY0X0U2z36PX7O3BV5Ob9qCEQq3D0HthOMpiJve/n5+HChWl8VixpmACSM7U9XH+C+0x/z2z1PpaQ4s70vXQ2BMgRSCTLVELzQeSjhi9t9J08ZAhGJCYRDhJK+T2OFw4Fw4ndyhNEFP6u9Pla3zMlLHxQQiFS4kVD6C4+ZNfV4o0N+3LP/DIdzCwi2HN/Pj7Y/nHU14rFmGVKGQCpBpiFD7uF5Z8xeytlzl6dtJyLT23AodbrvWMYguS7Jra22Mf49PlkKCEQqXKbfFU1VtfHnNa479wf6u1LaumcLctt87GVe7DmW8dzJ6xCkZAi8yhBI+UsICFx3+dx1NyfOmJ+11kBEpq/k4ULONidIyDa80J2dnCwFBCLTVFNVTfy5e+jOA4d2cmyoL/46Eokk3Olvra5LOM6+/o6M53C/r6GqOjVD4FOGQMpfpnUIukdGZ/Nqqa5TQCAiaQ1lzRBk/l1x6YK1eeuDAgKRaaq5ejRDkHyn/n/3b4s/HwoF4mMba7x+Pr7h0oSg4NBAT8ZzuIuK09YQKEMgFcCfdKEfioS5ac/TCfUDzdW1CghEJK2hYGqGYDheQ5B5yNCZc5bmrQ8KCEQqXKZFxBKGDCXdqR90LaB068vPxZ83VtUwt76Zd6w+M77t0EB3xvPGLnr8Hi81Xn+aomJlCKT8uf//9AWGefTInoSgGqClqi7h8//Y0b1pp/gVkeknfYYgOmQokv7mwRuWnYLXoyFDIpIj98W9mzsgcE+bCInTkN57wMafx1ZEdM+Wkm5KUkjMDtT7q/F4PCoqloq0oL41/nxff2dCZiCmoaoGf9J439tcwbaITF/pbg7EvrszZRPdw37zQQGBSIUbTHPnARKHDPW6Vi6G0TsTydmFjbOd9GSdvzq+LdP0iUFXmjM2VMKfdDfDr4BAKkBrdR3N0QB7OBTksaN7U9p4PZ60Q/P6AyMpbUVkeohEIjxyZDc/2L4pZV+sli9TUbH7OzwfFBCIVLiBYPoLjsWNM+LPG6qqE/b1RIsh3cXFAFcuORHIvjJrjHuNAl90qiOPx8P6GQsAWNU8O55xEClnHo+HZU1tGfefN28lkH5GkP/7/H0F65eIlLZdPe3cuOPRtPsOR7PvmWoI3Fn+fFBFn0iFS5chWNwwg5k1DfHXZ89dwf+8uDn+OpYxaHcFBCe0zos/dw99CIbDRCIRPEnzm4YSAoLR9h884Xxe7GlnRdOsifw4IiVpw8yFPNtxIGHbiqZZXL3sZFa3zAagKk0R/bGh9EPuRKTyHcxQgwdwJDphhztDMLu2kWNDfSxpnMmSxpl57YsCApEKl66G4IL5qxNe1/qq+OoZr+Mfn/gD4GQIhkNBnjr2crzNrNrG+HOfx4sXD2EiRIgQjkTiWYCYkGvBMnfhU5XXx1pXcCFSCTbOXsJvdm+OD6Gr91fx8ZMuTcimVaUZIjcYDKYNqEWk8qUrJo7pCw7THxhOWNvkrSs3sqRxJk1VNXn/naGAQKTCjbhWHj5t1mIuXmBY3Tw7pd2M6no8eIgQoS84zN899ruEQqc2V0AAzsVNbFXjQDiEL2k4REKGwKuLHals9f5q3r/2XP50cAf1/mresvL0lAAgXUAQIcJIOJRQyC8i08NQ0g27uXXNQIQj0eFCPYGhhAxBldeX99qBGP0GEqlwgdDoL5O/NOdkLOT1eb3MrKnn+HA/kDrrQfIvIb8rIHCmRUusB8g0ZEikUp3ctoiT2xZl3J9pmt3PPvEH3mvO5oQZ8wvVNREpQckZgr9aey4/3/lY/PVAcCShTi95prJ80re0SAULRcKEcYbuePCMeWE+p64p477kKc7cBZLpip7CGYYMiUxXydP7xvQEhvjFriemuDciUmyDrhtv71x9FosbZyTM4jcYDKSdsa8Q9C0tUsECCalG75hjDrOlIpNnNHBnGtJNixZKM8uQyHSWbSG+5Bm9RKTyDbuGDNVFZ92r849m2weTMwQZbirkgwICkQrmHi6Uy52FbNOANqZkCLJPPaohQyKJqrw+TMvcYndDREqEexbAWr8zir/enSEIBZJu7CkgEJEJCETG94vk/HmrMu5LyRB4ch8ypAyBiOOj6y/ikyddFl+PQ0SmL3cNQeyGXJ3PnSEIEIy4hwyphkBEJmC8dxYWN87g7066LO2+5FlQ3McLRtJkCMLKEIgkq/L6WN0yh3p/YjbOq6BZZNoZSjtkaDRDcPeBbXSPDMZfZ5oUJB/0LS1SwSaSalzVModvvuJNXLrQZG3nTygqTjdkyJ0h0K8aEbf+pBXE/fo/IjLtDLmKitNlCHoDwwntNWRIRCZkomMPG6qqeeOyU5kdXXsgXXCQkCFIM2TIXUOgu58iiXpGhhJep/s/JCKVLbGGwAkE3DUEyQo57ajWIRCpYIFJTFfm83r53GlXcmigm6VplkgfV1FxAX+JiZSjefXN7OvvjL8OEyEcCWuKXpEKMxQK8NiRvQQiIS6avzo+7CcciTDsCghiw3Lr/Okn9/B6xp46fDIUEIhUsIBrleKJpBprfH6WNbWl3ZdYVJwaEIQ1ZEgko9ctPYnnOg4mFBWGIhG0qLdI/uzuOcbvX3qGE1rnc8XiE6b8/JFIhG89dx97e48D8JvdT3HijPmcP28Vy5raiH1LNvpr4t+TDf6atMeaV9dc0L7qW1qkgk0mQzAW9/Fs9xH29BxL2K8hQyKZzalr4l/OvDphW7r1PERk4r7x7D1s7zrC7/Zu4ehg75Sfvz84Eg8GYrZ2HuL72/7Mrp72+La22ob482VNM9PWFGVbBT0fFBCIVLBCzl/sPt6mwy/ytWf+l0eP7olv0zoEItnV+asS7gaqjkAkfyKRSMKUnYcGuqe8D+my5zH3HbDx5+6AwO/18XcnX87cuqb4tnp/NRfOX12YTsbOm68DGWMuA/4BOBmoAjYDX7PW3jXB4xlgC/BVa+1XMrRpBf4eeAOwGDgC3AR8yVrbk6Z9HXA98A5gOdAF3A583lp7aCL9FCllySsV51NycVME+Il9hNNnLaHK69MsQyI5cP8/cl+8iMjk9AYSC/cLOUNPJtmyfrt7R7PqbTWNCfuWNbXxfzZeBTirmDf4azLWFuRLXr6ljTHvAe4GzgEeAx4BzgXuNMZ8YALHmw3cDNRmadMMPAB8CggDt0UfPw48YoxpSWpfBfwe+CegCbgD6ADeDzxljFky3n6KlLrEgCC/JUOZ5kOOpWUTMwQaMiSSjntogDIEIvlzdLAv4fWIa4rPqZJu0c503BmCZLNqGwseDEAeAgJjzALg+0A3sNFae6W19gqcgKAH+LYxZuE4jrce2ASsG6PpV4CTgB8CJ1hr3wysAX4GnBDd7/ZR4HKcjMBqa+2bgA3APwPzgO/l2keRcnBooJv/3vVE/HW+MwQ9rsVS3I4NOb+EQ2FlCETG4s4QhNIs8CciE9M+lFgzMBye+oAg3aKd6czKEhBMlXx8S18H1ADfstY+H9torX0C+BrOXf4xswTGmHpjzOdxMgxrgD1Z2rbi3NnvAT5hrQ1HzxkEPgx0An9pjGmItvfiZA4iwHXW2uFo+wjwWcACrzXGLB/XTy5Swv5rx6MJr/O9wuHxoYG02zuG+wEIq4ZAZEx+j3v6XmUIRPKlPSlDMFyEDEEo1wxBTWUEBK+KPt6SZl9s26tzOM61wJdwLvKvAX6ape0FQB1wn7U2IQS01vYB90T3XxjdvB5YCDxjrd2b1D4M/GEc/RQpeUPBAHuSZjbI90X5Ja7Fympcw5GODTkBgWYZEhmbLyFDoIBAJF+OJmcIijFkKMf/0zPLPUNgjPHgDM8JA9vSNNkR3XditG02x4Ev4AznuXmMtidGH5/PsH979HHDBNuLlLW9fcdTtuV7hoWT2xZy7YrTeMOyU/iLVRvj2+85sJ27929LXIdAC5OJpDWRGoLekSEO9ncRcf0fE5FE7UnTjI5Ehwz1B4anrA+5TCXc6K+h1lf4GoGxTLbKcAbOcKF2a+1I8k5rbdAYcwyYg1PImzLzj6vtrcCtOZ53fvQx08xAse1zJ9hepKzt7e1I2bYkzWrDk+HzeLl04VoAXu5LPN/v9m7h3LkrE9qKSKrEWYbGvnjoGh7gC5tvYygUxLTM5boTL6TapzVGRZIdHUocMjQUCvKrF5/kvoM7OHP2Uv5y7bkEwyF+t2cLwUiYNyw7Je/Fu7kE+dkKiqfSZH+LxH6K9IOJHbHKw0ayBAR5Pq/7nBNpn1F0RqX3jNUu6pQc24nkVXIx1fy6Zs6ftzJD68lb3DCD1yxZz+0vO0m4cCTC/v7O+H4NGRJJb7wZgmc7DjAUHfpgu4+wretwwRcsEik3fYEhBoKJ96n/d//oQJbH21/imuWn8ujRPdx70FkPYHZtI5cvGms+m/HJJchf1NCa13NO1GQDgthPmkveMp+3CHM9b+yc422fzTJGaxNEStLx6Dh+gA+fcAEbZi4s6EW5x+PhdUtPYn9fJ890HADgQH9XfL8yBCLpjbeGwP3/CijK6qsipW5b15Ex23z92Xvis+IB3LXvhfwHBBmC/FfMWcaW4/tZ2zqPa5afktdzTtRkA4LYVUddljaxfX1Z2uT7vMnnHG/7bPbirH+Qi1OAlrEaieTb8eHRgGBWbeOU3aFf1DgjHhCMuMZOKiAQSa/KNcvQWBmCjuF+7j+0M2WbiIw6PNDDj7Y/NGa7Y0lDilprsl3KTkymlYrfa84hEongKaHs+WQDgh6ci+1Zxhh/dNrPOGOMH5gFDFlruyZ5LreD0cd5GfYn1wyMt31G1tobgRvHagdgjLkfZRNkih0f6k+4aziV05nNr08f/2phMpH0fOOoIbjvgE3Z9nJfZ5qWItOXe/2d8SjEwoDpVh8/fZazDm4pBQMwyWE80Xn8twI+nLUDkpnoOZ6bzHnSiM0WdEKG/bGcT+y8420vUrZ+vvOx+PMGfzW1U7DCYYxpmYuX1F9yyhCIpDeeGoLjabIBu3rasTkMjxCZDoZCAWz3xP4/dA4P5H3mLvc6BKZlLm9bdQZvW3VGXs+RL/n4lr4r+nh1mn2xbXfk4TxuD+IUAl8WW3wsxhjTCFyGM/znzwDW2m3AS8BpxpjFSe29wOtw6gv+mOd+iky5/a4xxnPqmqb03M3VtaxtTZ2sSxkCkfTcCwamu5voNhgMpN3+RPtLee2TSLm558B2/vnpu/je1tER3W01Dfz9KVfkfIzhcJAvPXVHQg3eZAVcWb8ljTO4cP5qGqtq8nb8fMpHQPATYAj4tDHm9NhGY8xG4FM4F+43uLavNMasNcZMeGy9tbYf+C+caU9viA5Nig1R+h7QCvwgadGy/8DJZPw4KYj4Mk5242Zr7YsT7ZNIKegPjNATGIq/vn79JVPehzetOC1lm1cZApG03NmzsVY17Q+mzO4NOHdFRaarwwM9/Gb3U+zt62BH99H49ubqWlqrU+sCPnTCBZzQmn4E+aGBbr753D0paxhMlDvr5w7+S9Gkv6WjK/9+AmgGHjHG3GWMuQt4GGftgQ9Ya4+63nIvziJmb5jkqf8RsMC7AGuM+Y3r9VM4i5y5fQvYBFwO7DTG/NYY8xzwDzjZg+sm2R+Rojs8OLr42KKG1ikdLhSzsKGVZUlrHmhhMpH0qlz/NwJj1BAMugIC98wkCghkOksuDo5pqa6jtaY+IVN+0fzVnNK2iNcvOznL8fr5z22bEhbXzCQ2xfau7va0BcTuhcn8JX5jLC+9s9beAFwFPAqcB5xB9OLbWvvzfJwjzTk7gHOA7wBV0fOHgX8FLrHW9iW1HwGuwMkIDACvxVl34AfA2dbaMQuKRUrdoYHRpT7m1jUXrR/Jy7BryJBIeglDhsZY1dQ9r/pM12QBw6FguuYi08JghoC4uaoWgPeZs6ny+qjzVXHxAgPAsqY2PnXy5Xz4hAv4zCmvTHnvvv5OtnYeTNnuFo5E+Pbz9/Hlp+7k3569my88eVtKUOAeBljqGYK8LW9orb0NuC2HdstyPN4XgS+O0aYD+Jvon1yOOQB8PvpHpOLs7mmPP1/UMKNo/WirSVzjT0XFIunVulYZHspyYR+JRBhw1RDMqK6PP1dAINPZUIbamubocKHlTbP45iveCJCwqvfK5tnx529duZHtXYfpGRlid+8xAF7sOcaGmQvTHnskFOSjD/86Ydvx4X729B5nTcuc+LaEDEGJZ8q13rlIBdnpCgjWtMzO0rKwZtcqIBDJRY1vdFhfpgsbcIKFSHRtzRqvn3rXcMARBQQyjWXKELRU18afuwOBdC5esIaLF6zh8aN72W2dgGBflil9txzfn3b7QGAYcNYf6A0MJdYQlPj3oAICkQoxGAzE1x/we7wsbWorWl9OmbWIO/dvpXN4gCqvr2SWZhcpNblmCNz1A/X+6sRAIqyAQKavTIH0gvrWcR9rceNoZn1v73HCkXDaSTEOD/akbAOn8H8oFOALT95G18hgwr5pM2RIRIqrPzgcf95cXUtVEX/5tFTX8cXTX8P2zsPMb2ihoUSnWRMptjr3hX2W4mD3DEN1/ipqfKP/vzVkSKYzd4bgFXOW0eCvYXZdIyubZ437WHPrmqj1VTEUCtAXHObhI3s4b97KlHaZZiHqCw7z0OEXU4IBKP0hQ6XdOxHJ2UDSHcRiq/VVccqsxUUtbhYpdTU5BgTJ/7/d78s2ZKh9sJfDA90Z94uUO3dAsKZlLteuPJ2LF5gJrQTs9XgTAoAXOhPnmwmFw2zvOszevo74tnWuKUx/t2cLBzP8f6vyKEMgIlOg1AICERlbrT+3IUPuDGBjVQ1+jxcvHsJECEbCBMOhlCEJ/73rCR44tBOAD647n1NnJazLKVIR3EOGan2Tn2p7Tcsc7jmwHUjNvv3YPszmYy8nbFvW1Ma2rsPx15sOp1/SShkCEZkS7hlI6hQQiJSFXIcM9QUSAwKPx5NQKOm+IAHoHB6IBwOQuQhSpNwNhhKH001WtXf0/1XyNKLJwUBLdR0L6nNbZ7fZVeRcihQQiFQIZQhEyk+uswy5A4IGv1OT4w4gvrv1AW596Tm6o2OXd3QfSXh/18hAXvorUkq6RwbZ3jX6Wa/LQ4bAvVhg0LVYYLp1Ql67ZD2NOdTIrWyexdLG4k30kQsFBCIVImEWkjz8UhSRwnMPcchWHJycIUjntpef4ze7nwJgR/fRhH2dw6lFjiLl7pEjexJe5yNDUJUhQ+Au7Ad484rTOH/eqoSMQiaXLVyLt8QX6FRAIFIhlCEQKT81rmE/w+EgYdfKpm7JNQSZxIYG7ehKyhAMDxCJRCbTVZGS0xNIDHTdK3hPlDtDEAiNBgTuoHxeXTOXLVyLx+Nhdl3iujvJan1+TpyxYNL9KjQFBCIVQgGBSPnxejyJQUGGLEFChiA6ZMi0zE1pF4qEefDQLo4O9SVsHw4HMy7gJFKu3Bfs581bOeYCZLlwT9kdiKQPCNxBeUt1Ha9Zsj7tsep8Vbx/7bkJ/8dLlQICkQrhLipWQCBSPmoTCotzCAiiFyPXLD8lpV04EuHXuzenPUbnsOoIpLKMuBblW9U8Oy/HTAgIXCsNu7N0yWvrXLVkQ9ohQZ846TI2zFyYl34VmgICkQrR5/plpYBApHwkrlac/i5+X5ohQ8ua2mhKM3woeWaUmJ6Rocl0U6TkjLgyBLmM5c9FYkDgHD8SidCbJksX4/F4aK5KnUWonL6LSz+HISI5ca+c2FY7+XGUIjI1arPMNPTUsZf5nxc3x2cPAhIuPEJZ6gLaahpY3DgjXlcwkFQUKVLuRlzBb7UvPwt/JQcE3SODfPPZezk82BPf3lCVeqE/o6Y+YYVir8eTNmAvVcoQiFSAUDjM8aH++OvZtdmLnESkdGQaMhSOhPnPbZsSgoEGfzW1rplUwlkCgkUNrQl3KBUQSKVxDxnKV4bAnxQQ/GLn4wnBAJA2GzC7tinh9bLGtrzUNEyV8umpiGR0bLiPMM6FQWt1XVn9EhKZ7jINGdrV3Z7SNjn7l23moJm1Dfg9o/f9kqdNFCl37gxBlTc/GQKvx4Pf4yUYnfHrmY4DKW1ObluUsm1O0mxDa1rm5KU/U0UZApEK4J6LeU5dU5aWIlJq3Hf8H2/fG3+evJYApE6reO3K0zMet62mQRkCqWgjroxavoYMQWKWINmq5tlpv2eT/2+un1n6U426KSAQKXPhSJgHDu2Mv15dZnclRKY795Chp47ti2cGjrjqgmLaki46zp6znNct3ZD2uK3VdfFVjUEBgVSehBqCPA0ZguzZhhk19Wm3L26ckfA6X7MeTRUFBCJlrmt4MOGL/pWL1hWxNyIyXslzlN+8dwsAR5PGLQMsSrro8Hm9vGbJBt66cmNK26bqWupd2QcFBFJpEjIEeRoyNNax6nzpV0Ne3DCDC+atYm5dM3+z/mI8Jb4ycTINNBYpc+2uBYiWN7Ul3G0UkdKXfIGxq6edzzx+S8K6Aae1LWZBQytnzF6a9hjpZjNprKohFEk/j7pIJQgk1BDk75I225ChugxTiXo8Ht6++sy89WGqKSAQKXPtQ6PDCpJnORCR0pcuiHcHAzU+Px9Yd17WO46NaQKCpqpagq6FlZQhkEpTiGlHAaq8mQfQuLNulUQBgUiZax8czRBoulGR8jPWrGBtNQ1jDj9oSjMNYqO/JmHhpm4tTCYVZEfXkXgGzIMnYUatycpWQ5ApQ1DuVEMgUuY6R0bvJGpBMpHyE3LdxU9nZoYiRrfkDEG9vwqf10tbbT010aEU3SODCZkHkXIViUT44faHRl8TyeuY/awBQYUOy1VAIFLm3CubltMy6SLiCERCWfe35hIQ+JMDAue11+NlWVNbfPvunmMT6KFIadnde4yeQOEyXtkCAl8eMxGlpDJ/KpFpxL2yqQqKRcpPpkLhmNbqsQMCX9KYZ/ddzKVNM+PPDwx0ja9zIiVoa+ehgh4/eXrf6UABgUiZc69sWqsVikXKTkt1HX930uUZ93tzHAlx6UITf77BtSiSeziRu6ZApFzt6+tMeD23rjmvx3/NkvW0Vtel3TevPr/nKhW6ehApc+6AoEYZApGytKplNosbZrCvvzNl34L61pyO8eblp3HGrKUMhgKsbZ0X317lGR3+EBxjeJJIOXD/P6n2+viLNOtwTEZrTT3vX3suX3/2noTtVyw6gYUNrXk9V6lQQCBS5hKGDPn1X1qkXC1saE0JCNbPWMDJbQtzer/H42F586yU7e451d3ztouUo/7ASLw43u/x8n/PfnPKkLl8qEuaXvSVi9ZxzfJT8n6eUqGrB5EylzhkSBkCkXJlWufy6NE98dc3nPvWvFzouOdUDyogkDJ3dGh0Be959c0FCQYA6n2Jk3RU+pBc1RCIlLFwJMKwK0NQU+G/sEQq2Wlti5lf14zf4+VDJ1yQtwudxAxB9ilORUpd4to7hVuMM3m9geo8roRciir7pxOpcCOuYKDa66vY6dBEpoNafxWfP/1KQpFI1mkPx8t9LGUIpNwdHeyNP59dV7jFOJNvsPnz+H+yFCkgECljGi4kUlm8Hm/Oswrlyj1kSDUEUu7ah1wBQQEzBN6khc4ikUjBzlUKdDtRpIwlrkGg+F5EUrlnGdKQISl3+/q64s/n1hUuIEgWilT2/x0FBCJlTFOOishYEmoINO2olLH+wHB8cT0vnoRF9wotjDIEIlKihrVKsYiMQTUEUinuPWjjz5c0zSz4994F81YBzvSmZ89ZXtBzFZvGGIiUsYUNrfg8XkKRMGta5hS7OyJSghJrCCp72IOUjo6hfn6y4xF6A8NcttBwXvTieqLCkTB/cgUEJ8/MbX2Oybh62SnMq29maWMbzRlWLq4UCghEylhjVQ2fP+3VHBzoZsMU/HIUkfLjV4ZAiuDPh3exo/soAD/b+Tinz1qastjXeIyEQgwER4fJXr5o3aT7OJaGqmouXbi24OcpBQoIRMrcvPoW5tW3FLsbIlKiqrRSsRRBf3Ak4XX3yODkAoLw6BDZpqqavE7NK6ohEBERqWh+jwICmXrJ2ai+wPCkjjccGj1epS8SVgwKCERERCqYu4YgWOFTJ0rpSK5X6Q9OLiBwZwiqNc123ikgEBERqWD+pCFDlb7AkpSGfGcIRlyz6lVruFDeKSAQERGpYF6PB59HWQKZWslrXvRNOkMwerwaZQjyTgGBiIhIhUsYNqQ6ApkCwaQhQ+PJEBzo7+I/XniQew9sj29LGDKkDEHeKcQSERGpcFVeH0PRIReBcJjKnlFdSkFyQNAfGMnQMlEgHOJH2x/i4EA3W47vZ23rPBY2tCYsxKkagvzT36iIiEiFc880pAyBTIWJDBl65vh+bnjhwYRtWzsPsbChNWHIkGYZyj8NGRIREalwVb7RgGBffydhFRZLgSUHns8c38/zHQezvufmPVtStu2KLm42rKLiglJAICIiUuFWNLXFn9/wwoN8/4UHCau4WAooecgQwL9vvZ9Nh3dlfM+hwZ6Ubfv6OxkMjtA7MhTfpqLi/FNAICIiUuEuW7gu4fUzHQd45MieIvVGpoNMi+Bt7TyU8T3pVh/uGB7gbx+5idv3PR/fpiFD+aeAQEREpMItbpyRsm3zsZeL0BOZLjJNb+se+pNsdm1j2u0REoe4qag4/xQQiIiITAOvWnxCwuveSS4UJZJNpuL1bAGBO6uQLlsQoxqC/FNAICIiMg28etGJmJa58deDwdymgRQZjwP9XQwGAwk1BK9aNBqM5hoQ+DyejO1UQ5B/CghERESmgVp/Fe9fe2789YACAsmzP+57gf/z1B18cfNtDLsWEjtzzrL4c/f2ZO6pRYeyBA4KCPJPAYGIiMg00eCvjj8fCAY0/ajk1e/2bgGga2Qwvs0D1Ls+d7lmCF639KSM7ebUNU28k5KWQiwREZFpwuf1UuP1MxwOEiHCcChAnetiTSTf/F5fwh394VAgbbtIJJIQEFw0fw1HB3sAD3t7j3PYNSXpvLrmgvV3ulKGQEREZBqpT8oSJDs62Eu36w6vyGRURYPQmOFQkEiazJR7ViK/x0tDVTXvNefwXnM2bbUNCW01y1D+KSAQERGZRhIDgsQ6guc7DvK5J2/lM4/dwuGB1EWiRLJJNzOQ3+PD5/Xi9ziXnBHSr1EwEso8w9DZc5bHn69tnYvknwICERGRaSRbQPBj+zAAYSL8dOejU9ovqUyxi/saX1V828GBbp5sf4kRVz1BwFVsnBwQnD57KefNW8nypjbetPy0Avd4elLORUREZBqp949emPUnBQTuAGF/f9dUdUkqQDgSTnvn3+917j3X+Hz0R6/5/3nLHwE4Y/bS+MxX2dYg8Ho8vHP1WYXotkQpQyAiIjKNuIuIhzIUeEL22WBEkrmH/Lj5Pc7FfbU39R70E+0vjb7fFRBo4bGpp4BARERkGnFfbAWSLuJqXcM6RMYj0/oCLTV1AAmzBKWTkCHwKSCYagoIREREphH3cIyRpIu4Bk1BKhOUKaN05uylOb0/cciQRrRPNQUEIiIi04j77mvymO86f2KG4M+Hdk1Jn6T8pQsIljW1sTEaEFwwb1XK/tjMQ5AcEOjydKopBBMREZlGqhMyBIkBQfLKxXcf2M7581Mv5ESSubNNy5va+MgJF9JQVYPX4wHgtUs38ODhxAAzFAkTiUTweDwJn8V005dKYeUtIDDGXAb8A3AyUAVsBr5mrb1rHMdYA3wJOA9oA3YBPwS+Z60Np2l/AfBp4GygGrDAj4AfWmtTQlVjzL3AJVm6sNpaq9shIiJSsdzDMZIzBMl3eY8M9nBkoIe59VoZdqoNBkf44/5tLKhv4cw5y4rdnTG5Pzu1viqaqmsT9rdU1/E36y/m28//Kb4tghMU+D0+Aq73pytAlsLKy9+4MeY9wE+AYeA+wAdcDNxpjPlra+0PcjjGycCDQDPwEPBE9BjfAc4C3pHU/oPA93CGPe0AtgMbgBuAq40x11hr+5NOcwrQB/w+Qzd6x+qniIhIOXPffQ2EQxwe6ObOfVtZ1TwnJWMAsKVjP1fUnzCVXRTgR9sf4vnOQwAcG+rnwvmraKiqKXKvMnMHBJlWEl7XOo/3m3P4UXS9C4BgOIzf60uYAjd56JoU3qQDAmPMAuD7QDdwnrX2+ej2M4B7gG8bY2631h7IcgwP8FOcYOCd1tqfR7fPjh7j7caYm621N0W3G+DfcYKBj1prvxvd7gP+BfgkTqbhk65zLAVmAvdYaxOCCxERkekiecjQj7Y/zL7+Th49ujdt+2eO7+eKRQoIptLe3uPxYADg9y89w60vP8tbV2zkwgWr83KOoWAAr8eT8eJ9vO45sD3+vCbDHX6Px8MZc5bxyxc30x8cBpygtJYqOkcG4u1aq+vz0ifJXT6qNq4DaoBvxYIBAGvtE8DXgFrgA2Mc43LgJOD+WDAQPUY78KHoy4+52r8XJ5j571gwEG0fAj4DbAU+Fg0oYk6NPm7O/UcTERGpLAkZglCQff2dWdu/2HOMbZ2HC90tcXmptyNlWzgS4X8PbJvUcUdCQY4M9LCj6wgff/Qm/v7x39M5PDD2GzPY2nmQu/a9QOfwALt62uPb68e4w+8uGt7Z084Ptm3irn0vxLfNqFFAMNXyERC8Kvp4S5p9sW2vnugxrLUPA0eB84wxTdHNG6KPt6VpH8IZelQFXOrapYBARESmvWpv5lmGYvweL3PqmuKv/+/z93F0UKNqp0rHSPKIZ0fX8ACRpMLvXA2Hgvzzlj/y+c238Y3n7iUUCdMXHOa+g3ZifRzq59+ff4Cb927hh9sfSth39twVWd/rd30G/3Pbn9l87OWE/a3VdRPqk0zcpAKC6FCfE4AwkC5s3RHdd2K0bSYnRh+fz7Df4vQ1lrOM9TvTKhexgWzrXNtiAcFMY8xdxph2Y0yvMeZPxpgrsvRNRESkYvizzDIUU+3zM78usZD44SO7C9ovGeW+a//O1WdREx3WE4yEGQhmXl06m3sPbOfgQHfK9okGes91HCSCE5y86MoOLGucybKmtqzvHWsWIWUIpt5kB47NwBku1G6tHUneaa0NGmOOAXOAJjJfwM+PPh7KsD+2fW7s0DhZhfOB290No4HHOdGX6YYMfR8n8HgQWANcBFxkjLneWvvtDOd3H/89wHvGahd1So7tREREpkS2aUfdbXyexHuGd+7bymuXrE8IKKQw3AHBzJp6Wqrr4hfuPYFBGqrGv4Dcsx3pSzkbJ1ionOl9s2obx3yv35P9frQCgqk32YCgIfqYbQDaYPSxkcwBwVjHcR8DnALkjwF/a4z5s7X2dogHA58DTo+2q4lunwUswskcvMta+8vYgY0x1wK/AL5hjHnAWrsly88CsAy4cIw2IiIiJcm9MFlfYDhtm2qfn7PnruCp4/sStj9waCeXLlxb0P5Ntdtffp4/vPQsTVW1vG3VGZw2a3Gxu0RHUkDQXFUbDwi6RwaZX98y7mNmWkk402cgm0gkwmAo5T4wAK05XMxnyxAsqG+hzqdZhqbaZAOC2K2FXAa0ZQsHcz2OF8Ba+5Qx5nPAV4DbjDFPAy8B64GlwA9wCpkD0fbHogXGM6y1O90HtNb+2hhzNnA98MHon2z2Ag+M0SbmFGD8/2tFREQKxD3H+5HB9Pfparx+1s9cwKsXn8id+7bGtx/oTx1yUs4O9nfzh5eeBaA3MMR/bvsz7zVn84o5y4vWp3AkkpAhmFHTQItrTH3PyNCEjhvMkA3qDYzveOFImG8+ex87e46m3Z/L+H9/0krEpmUup85azEBwhFfMWY7Hk22UuRTCZAOCWNVLtn/92L6+SRwn5RjW2q8aY17AmVr0VGA5zjCgtwBrcQKCLlf7Y8CxDMe/FScgOD3D/jhr7Y3AjWO1AzDG3I+yCSIiUkJyWQV2YUMLXo+Hq5edzML6lvi88X3B8d9NLmVH0wREP7GPMK+uecxx8IXSGxgiFHHWYq33V1Pj89PiWuSre2Qw01uzCkRS1ncFnFmkfr17M29aflp8VeFsnj62P2MwALllCJKHnbVU13LxgjVjvk8KZ7IBQQ/OxfwsY4w/eXVgY4wfmAUMWWu7shznIM7d9Hk4C4wlS1tjYK29Gbg5ubEx5uro05eT92UQm09Ng9ZERKSijRUQLG9q443LT42/bnFd4E1keEkp68lwd/zWl57jo+svmtrORCXXDwA0u+66d084Q5A+IAC494Blbcs8TmpbOOZxdvdmurfqmOuanSqT5M9gnX/8NRGSX5OaZchaG8GZ89+HU6CbzETP8dwYh4rNLpSy8km0LmAtzrCiF6LbZhtjLjHGZFqd45Lo45PR9pcZY35mjLk+Q/tYbnD/GP0UEREpa9VjBAQfWHdewgVoo3+0eLTSAoJMF9dDoYnN5JMPHQnDhZyAoCUhIJhYhsA9ZOjiBWvwkJgNeLG3PfktaR0byjzgwwPMS5qdKp3kouJ6BQRFl491CO6KPl6dZl9s2x2TOMY5OLMFbbLWxubGOg24F/hCcmNjzIboe/YQDQhwhhy9A/ibaNYi2buij38co58iIiJlbawMQfIqse7ZZPoCwxwZ6OHLT93BN5+9t6gXzhMxGAxw174XuO+AZTAYyDh+PtN4+6nQOTy6BsHMGmfOleaq0SFDPYEJBgSuIUPXLDuFV8xNrJO4a98L/Nszd/OznY8xGEwsGA5Fwvxi5+P8xwsPsqP7SMZzzK5rymnl49QMgYqIiy0fAcFPgCHg08aY+Bh8Y8xG4FM4MwTd4Nq+0hiz1hjjLrZ9ACfTcLkx5q9cbWe73vsNV/sHceoDrjXGvMLVfj7OjEEe4EvW2tin/484RcfLgH81xvhc73kvcC3OcKQfT+DnFxERKRtVXl/K3eGYk2cuTBlH7p7isj84zBefup39/V3Y7iP8bs+WQnY1736352lu3ruFX+3ezPe3PZjxbnum6Vinwp8P7Yo/T58hSAxiDvZ3c/f+bVlXHI5EIglBjt/r492rz+K6ExPLHHf1tLPp8Is86OoDwP0Hd/Dg4V1sOb4/6zoIixtmZPnJRiUXFTcoQ1B0kw4IrLV7gU8AzcAj0UW/7gIexll74APWWnf1yb04i5i9wXWMMPA+nKLhHxhjHjXG/A5nvYGTgB9aa291tR8E/hpnNeI/G2P+1xhzG7ATZxXjG6y1/+VqPwK8LXr8vwWsMeam6OxE/y+6/Y3W2sqaPkFERCSJx+PhdUs3UJtmasd3rj4rZVvyegRh10q5Dxzamdy8pL3c3xl/vr3rSMbhLx1ZLq4LaVd3O4dchc5zap3x+O6i4h5XEBMIh/j28/fx2z1P8+PtD2c8bigSjk/j6PV48Ho8eDwe1s9YkHYK08NJxdZ37XthzL4vamjl1YtPHLMdpMkQ+BQQFFs+MgRYa28ArgIeBc4DzgA2AZdba3+e4zEeB84CbgJWA6/Euav/QeBDadr/Gngd8Hj0nGcDm3Hu9l+Xpv3DOEONfopTPHwVzoJpNwInWWsfyfXnFRERKWdXLlnPt895M98++82sa53H0saZfGXjVTS5LjwrUU9SRmB/f1fadkOhQMZ5+wvpuc7RxcNm1TbEi3wbq2riWZ3+4AgjoSA3793CdQ/9iq7oz7Sz5yiRSPrZ290FxVWe0Ytxj8fD+8zZCUOSIPXvKVPxdczbV53B5067ksWNOWYIPIkBgWoIim+yswzFWWtvA27Lod2yLPteAN40jnPeijNlaK7tdwLvzrW9iIhIJav1V3H9hkvGbHfyzIU8k2Gl28FgoCzGgEcikXHN4d8zMsTsurFX3c2n7V2j4/PfuPy0+J10r8dLc3VtfIjTRx/+ddr3DwRHaEizgnAw4h4ulHgveEnjTL688SoePLyLm/Y8DSQGAJmCDLdcprJNbJ/Yh3L4/FS6vGQIREREpHK9ecVpGfcFwlN/J30iBoIjCYW1bq+YsyxlQa2JFu9OVCQS4YArY7GmZXbC/lzG5yfXF0QiEe47YPnVi0/FtyWvAQBOYHj6rCXx1z0jQ4TCYe7ev43/l8MAinTHzGauayYiD6O1ElI8ecsQiIiISGWaXdfEu1afxU93PpayL5BlfvtSsqM782Jab1h2Cg1VNfzbM3fzUl8HMPH5/ieqLzBMIFr4W+erojFpGM9581byfOfBrMdwZk0arQnY0X2UX+3enNAmecrPmGZ3nUJgiBt3PMLj7S/l1PfxZgjOnLOM3sAQz3YcYP3MBQlF01IcCghERERkTI1phqIA8YvYUvbo0T38JM2dbr/HyxdOf018dd0ljTPjAUHyOPpCu/Xl0SWbYtONup3ctpA1LXOyBjbJfb77wLaUNpnu5ld5fdT5qhgMBQhHIjkHA857xzfgxOvxcPmidVy+aN243ieFoyFDIiIiMqYGf/kGBE8f25fwel3rPK5ZfgrXb7iEOa6VdRPukk9hhuCpY/sSZmyaWZs6hMbr8fKJky5jeVMbADOq6/nuuW/hrDnL4m26k4p/0/2bZbt4b55gUXmVZ3wZAik9yhCIiIjImDJlCIq5iFeu9vYeT3h96ULDhpkLU9q1VI0OXRlrZp18unPf8wmvR0KZ/04/dMIFPH1sH+tmzKPK62OuK6DpTQpi0s3ek2nIEMQCiN6M+2MW1rdyYKAr/nq8Q4ak9ChDICIiImNqrEo/NWQxMwSxQtxM6wnEuNdSeM+aV6QNBoCEaVfdw28ikQgjoSDfeu5ePv7ITfxs52OEMxQoT0Ry/9e2zs3YtqW6josWrIkX5ja7gphYhiAcidA1PJD23yZbAXC22X5i0562Vtfxl2vPyfmYUh6UIRAREZExZZorPhApXkDwyxefjA+1eceqMzl//qqUNpFIJGFF4lNnLc54PPcCYLGL64cOv8hNe56m1lfF8eF+ADYdfpFT2xazfuaCSf8MI6Fgwuq/s2obOXfeypzf7x7m0zsyyLGhPm7Y+mDCHXy35GlH3ZL/jefUNvLGFadxdLCX8+etontkkJk19Ywuc+YYbw2BlB4FBCIiIjImb4ahJsWYZSgSibCvvzNh3P2jR/ekDQgGQ4H4dKM1Xn/aFZpj3HfbYxmC2MxK/cGRhLaHB3tYz+QDgs6R0VWRZ9bU8+WNV+H1eHJ+v3tRse6RIe49YDMGA5C6KJhbXdLfTVN1Lae0LRrdH80gJK9NEM5hrQIpbQoIREREJCerm+ewsydxlptiDBm6ac+WlBl0Bl132d3c2YGWMYpmk4uKO4cHMrbtGOrPpatjah8cHS40o6Z+XMEAQLNrys7ewBD7+zuzts+WIahLyhAkT30a4/F4qPdXxTMbM2tTZ0WS8qKAQERERHLyzjVn8r/7t7Hp8Ivxbfv7O3mi/SUWN8zgqqUbJnX8cCTM7S9vJRQJ86rFJ2S8m59uOs3+4HDatu6L+uYx5ruv8fmp9fkZCgUJRsJ85vFbMrbtyBIs5CocifDvW++Pv57IfPzJQUxojLv12QqA65NqCJoyFJID/O2GS7n/4A5OnbU4a9ZFyoMCAhEREcnJ3Lpm3rn6LIB4UHDXvhcAeOb4fk5uW8iSxpkTPv6mw7u5LTof/537tvLmFacxo7qeE2bMz1rwCs7CXpFIBE/SHfZtXYfjz+fVNye/LUVzVS1DoexFygBPH9/H3zz8axY1zOD9a8+d0Gq7HcOJWYYZ1eM/RsL6AUSii5NlNpg09MktOUPQlCFDAM6aDe9a84rxdVZKlqpAREREZFwy3WXe03M87fZcPd9xIOH1b3Y/xQ+2b+KLm2+jK3pHPpRhdp9gJMxImuFLz3WMru57UobZhdzGyiK4DYWC7Opp554D23N+j1vylK3ZCp6zGc/6AQcHujPuS64hmEiQI+VJAYGIiIiMS6aAINPFei46hvt5JikgiOkaGWRr5yEg+x3u+w/uSHgdiUQ4Ojg6r75pyTydZ8xJbWMHDcnuObCdBw/tGvdUpEFX+xqvn9Utc8Z9bhjfUKPhLGscJM8ytHQS2R4pLwoIREREZFwyrUw71nCVTAaDI/zrlruztwk5BazJs/2472r/bu8WdnYfZVvnYSKRCEOhQDxIqfb6qB1j2BHAKxeuyymTkOwXux5ny/H0AU0mQdcMTXNzGM6USesYQ43ci5G9cfkpGdsl1zMvbGidcJ+kvKiGQERERMYl00JU413dNxgO8R8v/JnnOw8mbD937gqeOX6APleh8FAwQDgS4YGDo1ONLm2cyUt9HQnv/fqz9wDwrtVnJdxxzzYe3s3j8fCWladzoL+LQDhEMBJKWCcgm5/vfIzTxjHsx51R8Y1zdiG3sYb2fOWM17Gn9zgjoSBnzFmasd3ihhl4PR7CkQgL6lu0AvE0ooBARERExiXTQlS9gfQz/WTyePtLKcHAZQvX8uYVpxGJRPjFrif48+FdgDNe//d7n+HegzbetsFfjc/jTTtU6dGjexKKiLPNmJNsVm0j/3Tm6wlHwvzntk1sOb4/p/eNd8pQd4Yg2/oAY5lRk3nI0OuWnsSMmvqc6gGaq+t4nzmHbZ2HuXzR2gn3R8qPAgIREREZl0x3jntHxpch2HJsX8q2E2fMB5w79YtcQ1aGQ4GUbEAEuGb5Kfxm91Mpx3mptyMhQMk0p342Xo93XHfJMy3elok7kMm2PsBY0s1OdPWykzEtc1ne1DauY50xeylnzM6cRZDKpBoCERERGZdMF8ntQ73jWrW207VoWIx73Lp7fvuhUCDl2AcHurl4wRquXXFaynGGw0EOu2bUGU+GwM0/jov8yWQIfOMMJtxa09z9X9wwgxXNs1KmYRVJRxkCERERGZfk1Ylj4857A8M83r6XV8xZPuYxnjq2j5eT7vjPrm2k2XUnv9Y3epkSWyzM7czZS/F5vFy6cC1nz13Bvr5O/ufFJ+NTa96895l424lkCAB847hzP946gHxlCBY2tFLl9SX8u4xnKlIRZQhERERkXPqSagVeuXBd/PmjR/bkdIw7921NeH3G7KX89brzE+5o1yRlCNzz9tf6/Fyy0MRf1/urMa1zuWD+qrTnm3iGYBxDhhhnhiCSnwxBldfHl05/bfy13+OlraZxwseT6UcBgYiIiIzLWXOWxS99L1+4jgsXrI7vs91H6EkzFMjt8EBPPDvg93j5lzOv5v1rz2Vx44yEdrX+zBmCz5/2GmbWNKQc+9y5K1MW2ALYMIGpRGF8d+7HXUMQzk+GAKCttoEvnPYazpu3kr9aey4NVdVjv0kkSgGBiIiIjMvsuib+Zv0lvHXlRl67dD0zaxrixavhSIT/eXFz1lqCY0N98ecrm2dnnAGnLiVDMPYFdLXPn1IU++41r2BBQ8vYP1gayec5e+6K+PPkjEDykKax5CtDELOgoYV3rj6LUya44rFMXwoIREREZNzWzZjHxQvWxAt/X7NkfXzf5mMvs+V46gxCMSPhYPx5XZbFwhKGDAUDhCKjQ4ayFfteuWQ9C+tb8Xo8vGLOspxqGjJJPs+5c1dw5eITOW/eSq5JWuRrOJTbegUxCRmCPAQEIhOlomIRERGZtPUzFnDijPls7TwEwM7uo5w2a0natsOh0YCgxpf5UsQ9y9BwKEiY0axDpsXRwFmo6/OnX0kkEpn0LDvJ56n1VfH6ZScDsKu7PWHfYI4LmMUEXQHOeIqXRfJNnz4RERGZNI/Hw7lzV8Zft7uGBSUbcgcE3swBgTtYGA4HE2bRyeWOej6m3Ew+j3vmo5XNszjTNTwpGAkn3PUfS8g1rEoZAikmffpEREQkL2bXjc5s0z6YOSAYScgQZB4y5PV4mFfXnLLdw/jn/J+o5BqCaldA4PF4+Mu15yZkMm7a+3TOx05Yh0AZAikiffpEREQkL2bXNsWfHxvqI5yhyDZxyFD2aT3Pnps6/t/n8U7Zglu+pGlH0w9xGr3Tv7P7aPx5z8gQ//78/fzf5+6ja3gg5V251kSIFJo+fSIiIpIXdf6q+Hz/wUiYl/s64/uC4RAH+rsIRyIMh3PLEADMr0+dHWiyU3SOR/JiY9Vphji9cfmp8ef9gZH48+9ve5DnOw+yreswmw6/mPK+xFmGcl/vQCTfFBCIiIhI3pwwY378+T9v+SN7eo8RiUT412fu5v88dQf/veuJnIuKM+0fz2Jhk5U8fWq6oUpnzF4Wf94bGKJ7ZJDDAz282HMsvn1v3/GU94UShgxNTcZDJB0FBCIiIpI3lywwCa+/t/VBDg5081J0IbI/H97FYHD0Lnq2ouJM+6cyQxDKYW2BWp8/PuRnJBziU4/dzBc235bQZiQUSnmfO0OgIUNSTPr0iYiISN4sa2rjUldQ0BsY4rmOgwltYqsUw9gZgup0GYISCwg8Hg/N1bVZ23SlWb05cR0CDRmS4lFAICIiInn1phWnxWsJADYfeylh/1HXlKQTGTI0lePtQ1lWXHZrqhorIEhXVKxZhqQ06NMnIiIieeX1eHjLyo3x1+7i4mRjZgjSDBmqmsKLZ3dgk81YGYLhUDBl4TINGZJSoU+fiIiI5N2aljk5tZtYhmDqLl/OnL2MeXXNeIC3rzozY7uW6rq029tqGuLPk7MEWodASoU+fSIiIpJ3LdV1zE+zqFiyGm/2aUervKnDg/xpthWKz+vl86dfydfOegMXzF+Vsd1ZrpmGYj6+4VJmugOC4cQ6gpAyBFIi9OkTERGRgljRPCvr/lqfn5Yxhtp4PR6qkwKAqb549nm8GTMAMWta59KcVEewsnkWrTWj78uaIVBAIEWUPU8nIiIiMkFzs2QIzpu3krPnrEg7i1CyGp+fkbBrVd8SHV7TUFVDT2Ao/trv9dFaXR9/3Zm0WnFChqBEfyaZHhQQiIiISEHMrWtK2fbWladz4owFzEmzLxOnsHg4/rpUh9ekG96UmCEYHTL0uz1b2NZ1OP5aGQIpJgUEIiIiUhDJF/3Xr7+EdTPmjfs4yYXFU1lDMB7JQ5sAZrgyBF3RDMHxoX7+uP+FhHZ1/uy1FCKFpHBURERECmK2KyDwejysbZ07oeMkDysq1bvpY2UIjg72AvB858GUdvPrWwrXMZExKEMgIiIiBVHl9fHBdefz0JEXuWj+Gjwez4SOU5O0FsFUrkMwHukyBAsbWvF7vAQjYQ4N9tA+2Mu2zsMp7dIFEyJTRQGBiIiIFMypsxZz6qzFkzpGvb864XWNrzSH15wwYz7PdBwAYE5tIwC1vipOmDGfZ6PbX+g8zMt9HQnvu2zh2qntqEiS0gyxRURERKIunL86fge93l/NOXNXFLlH6Z0/fxWnti1mQX0Lf7XuvPj2hQ2t8ef//eITHB/uj78+tW0xVyw6YSq7KZJCGQIREREpaetmzOOLp7+Gnd1HOWHG/DHXBCgWn8fLB084P2V7tTf95dayxplp24tMNQUEIiIiUvJm1TYyKzoMp9xU+9LXB5jW8c+4JFIIGjIkIiIiUkDpMgRrWuZw1dINReiNSCoFBCIiIiIFVJMmQ/D2VWdoZiEpGQoIRERERAooXYagsaqmCD0RSU8BgYiIiEgBJdcQeEidSlWkmBQQiIiIiBRQ8sJq9f4avCW62rJMT/o0ioiIiBRQtS8xINBwISk1CghERERECqg6qXi4sUrDhaS0KCAQERERKaDkDEFLVWkurCbTlwICERERkQJKnmWotaa+SD0RSU8BgYiIiEgBJQ8ZmqGAQEqMAgIRERGRAkpegKylurZIPRFJTwGBiIiISAF5PJ6E1w1+zTIkpUUBgYiIiMgUmlnTUOwuiCRQQCAiIiJSYK9fejIePGyctYQFDS3F7o5IAv/YTURERERkMq5cciKXLFxDra+q2F0RSaEMgYiIiMgUUDAgpUoBgYiIiIjINJa3IUPGmMuAfwBOBqqAzcDXrLV3jeMYa4AvAecBbcAu4IfA96y14TTtLwA+DZwNVAMW+BHwQ2ttME37OuB64B3AcqALuB34vLX2UK79FBERERGpFHnJEBhj3gPcDZwDPAY8ApwL3GmM+UCOxzgZeAJ4K/AScBewGPgO8NM07T8I/Am4EmgH7gVmADcAtxtjGpLaVwG/B/4JaALuADqA9wNPGWOWjOdnFhERERGpBJMOCIwxC4DvA93ARmvtldbaK3ACgh7g28aYhWMcw4Nz0d8MvNNae5619hpgDfAs8HZjzBtd7Q3w79H+f9Raa6y1rwdWA18HXomTaXD7KHA5TkZgtbX2TcAG4J+BecD3JvHXICIiIiJSlvKRIbgOqAG+Za19PrbRWvsE8DWgFhgrS3A5cBJwv7X2565jtAMfir78mKv9e3GGO/23tfa7rvYh4DPAVuBjxpjZAMYYL/BxIAJcZ60djraPAJ/FGWr0WmPM8vH96CIiIiIi5S0fAcGroo+3pNkX2/bqiR7DWvswcBQ4zxjTFN28Ifp4W5r2IeBBnDqGS6Ob1wMLgWestXuT2oeBP+TYTxERERGRijKpgCA61OcEIAxsS9NkR3TfidG2mZwYfXw+w36L09cToq9j/e7J0D5WULwux+Nvjz5uyLBfRERERKQiTXaWoRk4w4XarbUjyTuttUFjzDFgDk4hb6YL+PnRx0wz/cS2z40dGiercD5OTUBcNPA4J/py9gSPn1G0gPo9Y7WLOiXHdiIiIiIiRTHZgCA2k89AljaD0cdGMgcEYx3HfQxwCpA/BvytMebP1trbIR4MfA44PdquZoLHz2YZcGEO7URERERESt5kA4JQ9DGSQ9tsw5NyPY4XwFr7lDHmc8BXgNuMMU/jTFW6HlgK/ACnkDkwkeOPYS/wQA7twMkQtOTYVkRERERkyk02IOiPPtZlaRPb1zeJ46Qcw1r7VWPMC8AngVNxFhp7EHgLsBYnIOia6PEzsdbeCNw4VjsAY8z9KJsgIiIiIiVssgFBD87F9ixjjD95dWBjjB+YBQxZa7uyHOcgzt30eYwW+LqlrQGw1t4M3Jzc2BhzdfTpy67jEz1+OmPVGIiIiIiIVKRJzTIUncd/K+DDWUQsmYme47kxDhWb/eeE5B3RuoC1OMN+Xohum22MucQYszrD8S6JPj451vGjYrMRjdVPEREREZGKko91CO6KPl6dZl9s2x2TOMY5OLMFbbLW9ka3nQbcC3whubExZkP0PXuIBgTW2m04NQanGWMWJ7X3Aq/DqS/44xj9FBERERGpKPkICH4CDAGfNsbEZvfBGLMR+BTODD43uLavNMasNca4i20fwMk0XG6M+StX29mu937D1f5BnPqAa40xr3C1nw/8AvAAX4ouOhbzHziZjB8bYxpc27+Mk9242Vr74jh/dhERERGRsuaJRHKZICg7Y8yHge/hzOpzX3TzJTg1Cu+y1v7c1XYvzkxA740W6Ma2n4lz178ReAxn3P9FOGsd/NBa+4Gkc14L/ApnEbI/ASPR9g3ADdbajyS1r44e/zycWoGHcYY0rcfJHpxtrc1rDYExZj+wsKmpiXXr1o3ZXkRERERkIrZt20Zvby/AAWvtovG8Ny8BAYAx5rU4GYHTgGHgGeCr1tp7k9rtJU1AEN13AvB/gItx1hDYCXwf+JG1NkQSY8xVwGdwZhkaxKkV+C7w22h9Q3L7+mj7twGLcAKD/wW+mO9gIHq+AbLPwCQiIiIikk+D1tr68bwhbwGBpDLG9DK62Fk3sGUcb49NV5rrmgcTfc9Uv2+i55rMe/W+9E7BWSejlD+bk3lvObxPfy+ZnUJlfj6nw7/5RN9bLj/fKUzsszmRc5bLv8FUn69c+jmZ907kfWcD1UCftbZpPCdTQFBASesQPGCtvWgc740AWGs9hXzPVL9voueazHv1vozvux/n81myn83JvLcc3qe/l6zvu58K/HxOh3/zib63XH6+iX42J3LOcvk3mOrzlUs/J/PeCfbzfib42cxHUbGIiIiIiJQpBQQiIiIiItOYAgIRERERkWlMAYGIiIiIyDSmgEBEREREZBrTLEMFNJlZhkQKbTKzEYgUmj6fUqr02ZRSpVmGRERERERkQhQQiIiIiIhMYwoIRERERESmMX+xO1DhbgS6os9vKVovRNK7Ebgf2FvUXoikdyP6fEppuhF9NqU03cgEP5sqKhYRERERmcY0ZEhEREREZBpTQCAiIiIiMo0pIJCSY4y53xgTMca8Z4Lvvyj6/nvy3DURfT6lpOnzKaVKn83SpoBARERERGQaU0AgIiIiIjKNKSAQEREREZnGFBBMwmTHw0lujDFfjP49fzbNvvOi++4vQtdKlj6bU0efz/HT53Pq6PM5PvpsTh19NkuLAgIRERERkWlMAYGIiIiIyDSmgEBEREREZBrzF7sDlcYYUw98BHgjYIAGoAN4GPgXa+3jrrYXAX8CvgH8BPgqcAFQC2wB/tVae8vU9V4qmT6bUsr0+ZRSpc+mTAfKEOSRMaYOeBD4V2Bh9Pn/AmHgDcCfjTEb07z1ZOAx4Azgz8ALwNnAzcaYN05B16XC6bMppUyfTylV+mzKdKGAIL+uA04Hfgsst9a+3lr7WmB5dFs18Ndp3ncZ8BtgZfQ9G4GvRPf9XeG7XbIiObTxFbwXlUGfzfzT5zN/9PnMP30+80OfzfzTZ7MEKSDIr0HgDuDvrbXB2EZr7TBwY/TlkjTvGwI+Zq0dcm37XvTxxAL0s+iMMWcaY24yxnw+ze6q6GNv9DEcfUw3xK01332rUPpsjoM+n1NOn89x0OdzSumzOQ76bJYv1RDkkbX2u8B33duMMa3AeuDV0U3Vad76grW2N2nbEZwouiHP3SwVs4BrgKY0++ZHHw9GH/uij/PStH1FnvtVkfTZHDd9PqeQPp/jps/nFNFnc9z02SxTyhDkmTFmvjHmK8aYh4wxx4BOnPGDH4428aR5W1fyBmttBCd6Tte+EjwKjAAXGGPWxzYaY67EScV2A5ujm5+LPr7RGLPQ1fZsnEIvyYE+m+Oiz+cU0+dzXPT5nEL6bI6LPptlShmC/IgAGGMuBm4D6oGXgQeAbTgf/gBwa7b3TyfW2g5jzDeAvwceN8b8CagBLoo2+ZS1NhB9fh/wNHAqsDXatg04D/g58M6p7HuZ0WdzAvT5nDL6fE6APp9TQp/NCdBns3wpIBiDMeZM4NPAM9ba/5O0Oz4ezhjjAX6E80vj/dbaHycd56qCd7bMWGv/wRizD/ggcCnOmMtNwDettX9wtQsZYy4DvoSTirwSeBG4Hvgh0/SXhj6bhaXP5+To81lY+nxOnD6bhaXPZnlSQDC2XMfDzQZWAIeTf2lEvTL6qGFaLtba/wD+I4d2HcBHo3+SeZLa3p+8rULps1lg+nxOij6fBabP54Tps1lg+myWH32Ix5breLjjOLMRzDXGnOVq5zHGvBf4UHRT7VR1XCqePptSyvT5lFKlz6ZIEmUIxjCe8XDGmO/gpCH/bIy5H6eC/hScXzDbgLWkr6YXGTd9NqWU6fMppUqfTZFUyhDkwFr7DzizCezEGQ+3EWc83OuttT9wNf0sztg3C5wLXIEz3+5ncRY2eQ5YbIw5eco6LxVNn00pZfp8SqnSZ1MkkScSmZaF8CIiIiIigjIEIiIiIiLTmgICEREREZFpTAGBiIiIiMg0poBARERERGQaU0AgIiIiIjKNKSAQEREREZnGtDCZizHGh7Py4LuBdYCP/9/e3cfIVZVxHP+ukSKligiCVFEpL0+CLfLSyqtSkZa22gQ0FoWSrPIiCQEhMVJLxLJQNYKlQGLUGkPE1iIWpG2KRAlFEbUWtMjbzwTEyEthQcubVKGsf5wzzLid2enObNk7c3+fpDnZOfeec2/z7J197j33HHgEWA5cLmnzoO0nA18DpgDjgPuBqyQt24a+AvgzsFDSZQ22eZi0bHojO0h6tVlf1h0KGJ89QC9wFjAxH88GYLGk64d/htapihKbEbEgt9vMHZKmbsN21uGKEps127wHWADMAPYA/gmsBfokPTDsEzQbIX5CkOWLxs3ANaSVB39P+iUdD/QBayNibM3204C7gJmkC8btwCRgaUQsbNLXO4GbGGK584jYhbQS4lPA0gb/Xhv+mVonKmB89gA/An6Y210LrCN9iS6PiHNbOE3rQAWLzXtpfL1cCryct7tnmKdpHahgsUlETADWA6eTYnE10A+cDKyPiKNbOU+zkeAnBFVnAB8nfaHMkvQ4QETsDqwEjgS+CnwlInYCfpz3mybp9rztvqSLzfyIuFHS3YM7iYiJwArggCbHczDQA6ySdGZ7p2ZdoGjx2QvMBe4Dpkt6Mu9/DPArYFFEXC/p6ZbP2DpFYWJT0o3AjfXqIuIM4FTgt8CXh3+a1oEKE5vZt4A9gSuBL0l6Le8/H1gIfJeUgJi94fyEoKo3l+dXLhoAkp4hPW4E+EwuTyM96ltauWjkbR8GLsw/nlfbeESMjYiLgT+QLhp/a3I8h+Ryq4uPlVJvLosSnxcBrwJzKslA7uNO4PvA48DkbT0562i9uSxKbG4lIvYHrgJeAE71UMvS6M1lUWJzei4XVJKB7Juk2JwYEbtuw3mZjTgnBFXPAA+Rhj0M9tdcjs/ljFz+vM62q4EtpEeOteYAlwDPA58kDbcYihMCq1WY+IyIg4F9gVskPTi4XtJ5kt4vaU2jNqyrFCY2h7AYGAtcJOnvLexvnalosVlJAt496PO3koYa/Rd4sUkbZtuFhwxlkmYPUT0ll4/l8gO5vK9OO89HxBPA3hGxp6SnctWzpBeVFkl6MSI+2OSQDiFdgCIivg0cBAwAdwKXSqp3gbMuVbD4PDSX6yLiTcAngOOAnYA/AddJeqnpSVlXKFhsbiUiTgBmAQ8A3xnOvtbZChibt5CeSCyLiLNJQ5kmkJ5e7QBcIemVZudltj04IWgivzx5af5xRS73yuWTW+/x+ud7k8YKPgUgaRWwahv73JHqbAjXAX8kvdw0kfTH1wkRcYqknw3rZKzrjEZ8Avvl8iXgNmDqoPp5ETGz3tMDK49Ris16Lslln6QtbbRjXWIUY/Nc4L3AUaQXnCteAc4Hrh5GW2YjykOGmvs68BHSBeDy/NnOuXy57h7Vz8e12OckUrL2AnC8pA9JOknS/sAFpDsJ10bEu1ps37rHaMTnLrm8GDiQ9Nh8V9IsHj8F3geszi/pWXmNRmz+n4g4EjicNDzkhpFo07rCaMXmv0jDip4jxeTNwIOk7/RzqD59NXvDOSEYQkT0AfOA/5BenuzPVVuAAUkDTZpo6f9X0nrS3YpJkm4bVLeYNMZxZ6ovTFkJjVZ8AjvmchfgJEk3SNokSaTH4etIj8Hntti+dbhRjM3BKtPfXjHoJU4rqVGOzZ+QZhLqkxSSTpR0IGktl/2AW/P0pWZvOCcEdUTEmyPie6TpyDaT/uj5dc0mLwE9EdFovuHKndGWXw6StHGIl98qjygPa7V961wFiM9/53KDpLtqK/KX6ZL840dbbN86VAFis/ZY3gLMzsfhhfJKbrRjMyJmAJ8G1khaVFsnaQlwLbAbcHYr7Zu1ywnBIBExjvQH91nAJuAESbcM2uyJXDYastNsLGK7NuZy7JBbWdcpSHxW7qg92qC+ksju3mL71oEKEpu1jicN71gj6fkRaM86VEFic2ouf9mgvjIr2yEN6s22KycENfL8v2tJ04/9A/jwoDsIFZVZCA6s08bbSNOY9dfMRDDc4zg5IpZFxCkNNtknl481qLcuVJT4BP6Sy/EN6itfqF6UrCQKFJu1KlNEevKFEitQbL49l43WwKh8PqbF9s3a4oQgi4gxpAz9MNL0dEdJ2mr6sewXuTyxTt1s0uxA7czBvgfwWaoLp9QeZw/Vsdm3ttGHdZCCxeftpPG3kyNinzr1lfm8f9NGH9YhChabtQ7P5e9GqD3rMAWLzYdyOatB/bRcbmijD7OWOSGo6gOOIN1BmCppqLvvK0h3P3sj4vVf7oiYQFpxcABY1GDfbbGctNDJMRFxQU37PaSZXY4g3aVd2UYf1lkKE5+SngN+QLp+LI2Id9T0cTIpme3H47bLojCxWdPeGNJsbc9KerTd9qxjFSk2l5HeP5gZEefWVkTEHOALpHcbltTZ12y78zoEQETsRnVJ8n7gyoiou62kuXmRkjNJF5DVEXEHaYrQj1FdDfPeVo9HUn9EfJ40I8GiiDiddHdhEml59I3ApyQ1evRoXaRo8ZnNAw4GjgYeyX3sRVrsZzPQK2lTm31YwRU0NiGtBDuG6vtWVjJFi01JT0fEXNKNkqsj4hzgftLsQgeR1iL4nBNYGy1OCJJjqc4gcChDzwU8F0DSyog4luod+x7SqoOLJLU937WkFXkO7fmk+ZIPIL30dA1ppeL+ofa3rlLE+HwxIo4DvgicBkwnfXneBFwm6Z52+7COULjYzCpTN24aofas8xQuNiXdHBFTgAtJq7vPJq1NsAL4hqS72+3DrFU9AwPNptw1MzMzM7Nu5XcIzMzMzMxKzAmBmZmZmVmJOSEwMzMzMysxJwRmZmZmZiXmhMDMzMzMrMScEJiZmZmZlZgTAjMzMzOzEnNCYGZmZmZWYk4IzMzMzMxKzAmBmZmZmVmJOSEwMzMzMysxJwRmZmZmZiXmhMDMzMzMrMScEJiZmZmZlZgTAjMzMzOzEnNCYGZmZmZWYk4IzMzMzMxK7H/t6ssx0vuIlAAAAABJRU5ErkJggg==\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 277,
+       "width": 386
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -207,7 +181,7 @@
     "fig, ax = plt.subplots(nrows=1,ncols=1)\n",
     "(res.prices.pct_change().rolling(window=12*20).std()*np.sqrt(252)).plot(ax = ax)\n",
     "ax.set_title('Rolling Volatility')\n",
-    "ax.plot()"
+    "ax.plot();"
    ]
   },
   {
@@ -219,27 +193,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 8,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 277,
+       "width": 374
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -247,7 +217,7 @@
     "fig, ax = plt.subplots(nrows=1,ncols=1)\n",
     "res.get_security_weights().plot(ax = ax)\n",
     "ax.set_title('Weights')\n",
-    "ax.plot()"
+    "ax.plot();"
    ]
   },
   {
@@ -259,27 +229,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "[]"
-      ]
-     },
-     "execution_count": 9,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 277,
+       "width": 380
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -300,13 +266,20 @@
     "fig, ax = plt.subplots(nrows=1,ncols=1)\n",
     "trc.plot(ax=ax)\n",
     "ax.set_title('% Total Risk Contribution')\n",
-    "ax.plot()"
+    "ax.plot();"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -320,9 +293,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/examples/buy_and_hold.ipynb b/examples/buy_and_hold.ipynb
index 5cd61a08..381e4f72 100644
--- a/examples/buy_and_hold.ipynb
+++ b/examples/buy_and_hold.ipynb
@@ -1,8 +1,15 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Buy and Hold Strategy"
+   ]
+  },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -25,27 +32,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x195c31eb160>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 262,
+       "width": 377
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -65,7 +68,7 @@
     "rdf['rf'] = 0.\n",
     "\n",
     "pdf = 100*np.cumprod(1+rdf)\n",
-    "pdf.plot()"
+    "pdf.plot();"
    ]
   },
   {
@@ -77,7 +80,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -118,26 +121,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 24,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stdout",
-     "output_type": "stream",
-     "text": [
-      "static\n",
-      "0% [############################# ] 100% | ETA: 00:00:00"
-     ]
-    },
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "C:\\ProgramData\\Anaconda3\\lib\\site-packages\\ffn\\core.py:2054: RuntimeWarning: invalid value encountered in minimum\n",
-      "  negative_returns = np.minimum(returns, 0.)\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "# set integer_positions=False when positions are not required to be integers(round numbers)\n",
     "backtest = bt.Backtest(\n",
@@ -151,7 +137,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [
     {
@@ -189,7 +175,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>rf</th>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>total_return</th>\n",
@@ -201,19 +187,19 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>max_drawdown</th>\n",
-       "      <td>-0.0692566</td>\n",
+       "      <td>-0.069257</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>calmar</th>\n",
-       "      <td>3.34485</td>\n",
+       "      <td>3.344851</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mtd</th>\n",
-       "      <td>-0.000905607</td>\n",
+       "      <td>-0.000906</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>three_month</th>\n",
-       "      <td>0.00597538</td>\n",
+       "      <td>0.005975</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>six_month</th>\n",
@@ -245,11 +231,11 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>daily_sharpe</th>\n",
-       "      <td>1.80455</td>\n",
+       "      <td>1.804549</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>daily_sortino</th>\n",
-       "      <td>3.30615</td>\n",
+       "      <td>3.306154</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>daily_mean</th>\n",
@@ -261,27 +247,27 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>daily_skew</th>\n",
-       "      <td>0.0122082</td>\n",
+       "      <td>0.012208</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>daily_kurt</th>\n",
-       "      <td>-0.0445598</td>\n",
+       "      <td>-0.04456</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>best_day</th>\n",
-       "      <td>0.0204024</td>\n",
+       "      <td>0.020402</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>worst_day</th>\n",
-       "      <td>-0.0201002</td>\n",
+       "      <td>-0.0201</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>monthly_sharpe</th>\n",
-       "      <td>2.80644</td>\n",
+       "      <td>2.806444</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>monthly_sortino</th>\n",
-       "      <td>15.3525</td>\n",
+       "      <td>15.352486</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>monthly_mean</th>\n",
@@ -289,7 +275,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>monthly_vol</th>\n",
-       "      <td>0.0916111</td>\n",
+       "      <td>0.091611</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>monthly_skew</th>\n",
@@ -301,11 +287,11 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>best_month</th>\n",
-       "      <td>0.0736565</td>\n",
+       "      <td>0.073657</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>worst_month</th>\n",
-       "      <td>-0.0145918</td>\n",
+       "      <td>-0.014592</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yearly_sharpe</th>\n",
@@ -341,19 +327,19 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>avg_drawdown</th>\n",
-       "      <td>-0.0160522</td>\n",
+       "      <td>-0.016052</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>avg_drawdown_days</th>\n",
-       "      <td>12.6957</td>\n",
+       "      <td>12.695652</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>avg_up_month</th>\n",
-       "      <td>0.0324599</td>\n",
+       "      <td>0.03246</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>avg_down_month</th>\n",
-       "      <td>-0.00800092</td>\n",
+       "      <td>-0.008001</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>win_year_perc</th>\n",
@@ -371,13 +357,13 @@
        "                                    static\n",
        "start                  2017-01-01 00:00:00\n",
        "end                    2017-12-29 00:00:00\n",
-       "rf                                       0\n",
+       "rf                                     0.0\n",
        "total_return                      0.229372\n",
        "cagr                              0.231653\n",
-       "max_drawdown                    -0.0692566\n",
-       "calmar                             3.34485\n",
-       "mtd                           -0.000905607\n",
-       "three_month                     0.00597538\n",
+       "max_drawdown                     -0.069257\n",
+       "calmar                            3.344851\n",
+       "mtd                              -0.000906\n",
+       "three_month                       0.005975\n",
        "six_month                         0.142562\n",
        "ytd                               0.229372\n",
        "one_year                               NaN\n",
@@ -385,22 +371,22 @@
        "five_year                              NaN\n",
        "ten_year                               NaN\n",
        "incep                             0.231653\n",
-       "daily_sharpe                       1.80455\n",
-       "daily_sortino                      3.30615\n",
+       "daily_sharpe                      1.804549\n",
+       "daily_sortino                     3.306154\n",
        "daily_mean                        0.206762\n",
        "daily_vol                         0.114578\n",
-       "daily_skew                       0.0122082\n",
-       "daily_kurt                      -0.0445598\n",
-       "best_day                         0.0204024\n",
-       "worst_day                       -0.0201002\n",
-       "monthly_sharpe                     2.80644\n",
-       "monthly_sortino                    15.3525\n",
+       "daily_skew                        0.012208\n",
+       "daily_kurt                        -0.04456\n",
+       "best_day                          0.020402\n",
+       "worst_day                          -0.0201\n",
+       "monthly_sharpe                    2.806444\n",
+       "monthly_sortino                  15.352486\n",
        "monthly_mean                      0.257101\n",
-       "monthly_vol                      0.0916111\n",
+       "monthly_vol                       0.091611\n",
        "monthly_skew                      0.753881\n",
        "monthly_kurt                      0.456278\n",
-       "best_month                       0.0736565\n",
-       "worst_month                     -0.0145918\n",
+       "best_month                        0.073657\n",
+       "worst_month                      -0.014592\n",
        "yearly_sharpe                          NaN\n",
        "yearly_sortino                         NaN\n",
        "yearly_mean                            NaN\n",
@@ -409,15 +395,15 @@
        "yearly_kurt                            NaN\n",
        "best_year                              NaN\n",
        "worst_year                             NaN\n",
-       "avg_drawdown                    -0.0160522\n",
-       "avg_drawdown_days                  12.6957\n",
-       "avg_up_month                     0.0324599\n",
-       "avg_down_month                 -0.00800092\n",
+       "avg_drawdown                     -0.016052\n",
+       "avg_drawdown_days                12.695652\n",
+       "avg_up_month                       0.03246\n",
+       "avg_down_month                   -0.008001\n",
        "win_year_perc                          NaN\n",
        "twelve_month_win_perc                  NaN"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 25,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -428,7 +414,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
@@ -489,7 +475,7 @@
        "2017-01-05   98.316364"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 26,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -500,17 +486,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 27,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 297,
+       "width": 876
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -527,34 +519,30 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 26,
+   "execution_count": 28,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x195c6693710>"
-      ]
-     },
-     "execution_count": 26,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 259,
+       "width": 380
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
     "performanceStats = res['static']\n",
     "#performance stats is an ffn object\n",
-    "res.backtest_list[0].strategy.values.plot()"
+    "res.backtest_list[0].strategy.values.plot();"
    ]
   },
   {
@@ -568,32 +556,28 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 28,
+   "execution_count": 29,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x195c66d6b38>"
-      ]
-     },
-     "execution_count": 28,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 248,
+       "width": 395
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res.backtest_list[0].strategy.outlays.plot()"
+    "res.backtest_list[0].strategy.outlays.plot();"
    ]
   },
   {
@@ -605,7 +589,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 34,
+   "execution_count": 30,
    "metadata": {},
    "outputs": [
     {
@@ -629,8 +613,8 @@
        "  <thead>\n",
        "    <tr style=\"text-align: right;\">\n",
        "      <th></th>\n",
-       "      <th>bar</th>\n",
        "      <th>foo</th>\n",
+       "      <th>bar</th>\n",
        "    </tr>\n",
        "  </thead>\n",
        "  <tbody>\n",
@@ -641,148 +625,23 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2017-01-02</th>\n",
-       "      <td>3998.068018</td>\n",
        "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-03</th>\n",
        "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2017-01-04</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-05</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-06</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-09</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-10</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-11</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-12</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-13</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-16</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-17</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-18</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-19</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-20</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-23</th>\n",
-       "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-24</th>\n",
-       "      <td>3998.068018</td>\n",
+       "      <th>2017-01-03</th>\n",
        "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-25</th>\n",
        "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2017-01-26</th>\n",
-       "      <td>3998.068018</td>\n",
+       "      <th>2017-01-04</th>\n",
        "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-27</th>\n",
        "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2017-01-30</th>\n",
-       "      <td>3998.068018</td>\n",
+       "      <th>2017-01-05</th>\n",
        "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-31</th>\n",
        "      <td>3998.068018</td>\n",
-       "      <td>5879.285683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-02-01</th>\n",
-       "      <td>3890.785319</td>\n",
-       "      <td>5989.384683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-02-02</th>\n",
-       "      <td>3890.785319</td>\n",
-       "      <td>5989.384683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-02-03</th>\n",
-       "      <td>3890.785319</td>\n",
-       "      <td>5989.384683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-02-06</th>\n",
-       "      <td>3890.785319</td>\n",
-       "      <td>5989.384683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-02-07</th>\n",
-       "      <td>3890.785319</td>\n",
-       "      <td>5989.384683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-02-08</th>\n",
-       "      <td>3890.785319</td>\n",
-       "      <td>5989.384683</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-02-09</th>\n",
-       "      <td>3890.785319</td>\n",
-       "      <td>5989.384683</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>...</th>\n",
@@ -790,154 +649,29 @@
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2017-11-20</th>\n",
-       "      <td>4529.959868</td>\n",
-       "      <td>5433.422211</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-11-21</th>\n",
-       "      <td>4529.959868</td>\n",
-       "      <td>5433.422211</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-11-22</th>\n",
-       "      <td>4529.959868</td>\n",
-       "      <td>5433.422211</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-11-23</th>\n",
-       "      <td>4529.959868</td>\n",
-       "      <td>5433.422211</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-11-24</th>\n",
-       "      <td>4529.959868</td>\n",
-       "      <td>5433.422211</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-11-27</th>\n",
-       "      <td>4529.959868</td>\n",
-       "      <td>5433.422211</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-11-28</th>\n",
-       "      <td>4529.959868</td>\n",
-       "      <td>5433.422211</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-11-29</th>\n",
-       "      <td>4529.959868</td>\n",
-       "      <td>5433.422211</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-11-30</th>\n",
-       "      <td>4529.959868</td>\n",
-       "      <td>5433.422211</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-01</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-04</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-05</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-06</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-07</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-08</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-11</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-12</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-13</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-14</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-15</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-18</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-19</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-20</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-21</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-12-22</th>\n",
-       "      <td>4673.239436</td>\n",
-       "      <td>5324.589093</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>2017-12-25</th>\n",
-       "      <td>4673.239436</td>\n",
        "      <td>5324.589093</td>\n",
+       "      <td>4673.239436</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2017-12-26</th>\n",
-       "      <td>4673.239436</td>\n",
        "      <td>5324.589093</td>\n",
+       "      <td>4673.239436</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2017-12-27</th>\n",
-       "      <td>4673.239436</td>\n",
        "      <td>5324.589093</td>\n",
+       "      <td>4673.239436</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2017-12-28</th>\n",
-       "      <td>4673.239436</td>\n",
        "      <td>5324.589093</td>\n",
+       "      <td>4673.239436</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>2017-12-29</th>\n",
-       "      <td>4673.239436</td>\n",
        "      <td>5324.589093</td>\n",
+       "      <td>4673.239436</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
@@ -945,73 +679,23 @@
        "</div>"
       ],
       "text/plain": [
-       "                    bar          foo\n",
+       "                    foo          bar\n",
        "2017-01-01     0.000000     0.000000\n",
-       "2017-01-02  3998.068018  5879.285683\n",
-       "2017-01-03  3998.068018  5879.285683\n",
-       "2017-01-04  3998.068018  5879.285683\n",
-       "2017-01-05  3998.068018  5879.285683\n",
-       "2017-01-06  3998.068018  5879.285683\n",
-       "2017-01-09  3998.068018  5879.285683\n",
-       "2017-01-10  3998.068018  5879.285683\n",
-       "2017-01-11  3998.068018  5879.285683\n",
-       "2017-01-12  3998.068018  5879.285683\n",
-       "2017-01-13  3998.068018  5879.285683\n",
-       "2017-01-16  3998.068018  5879.285683\n",
-       "2017-01-17  3998.068018  5879.285683\n",
-       "2017-01-18  3998.068018  5879.285683\n",
-       "2017-01-19  3998.068018  5879.285683\n",
-       "2017-01-20  3998.068018  5879.285683\n",
-       "2017-01-23  3998.068018  5879.285683\n",
-       "2017-01-24  3998.068018  5879.285683\n",
-       "2017-01-25  3998.068018  5879.285683\n",
-       "2017-01-26  3998.068018  5879.285683\n",
-       "2017-01-27  3998.068018  5879.285683\n",
-       "2017-01-30  3998.068018  5879.285683\n",
-       "2017-01-31  3998.068018  5879.285683\n",
-       "2017-02-01  3890.785319  5989.384683\n",
-       "2017-02-02  3890.785319  5989.384683\n",
-       "2017-02-03  3890.785319  5989.384683\n",
-       "2017-02-06  3890.785319  5989.384683\n",
-       "2017-02-07  3890.785319  5989.384683\n",
-       "2017-02-08  3890.785319  5989.384683\n",
-       "2017-02-09  3890.785319  5989.384683\n",
+       "2017-01-02  5879.285683  3998.068018\n",
+       "2017-01-03  5879.285683  3998.068018\n",
+       "2017-01-04  5879.285683  3998.068018\n",
+       "2017-01-05  5879.285683  3998.068018\n",
        "...                 ...          ...\n",
-       "2017-11-20  4529.959868  5433.422211\n",
-       "2017-11-21  4529.959868  5433.422211\n",
-       "2017-11-22  4529.959868  5433.422211\n",
-       "2017-11-23  4529.959868  5433.422211\n",
-       "2017-11-24  4529.959868  5433.422211\n",
-       "2017-11-27  4529.959868  5433.422211\n",
-       "2017-11-28  4529.959868  5433.422211\n",
-       "2017-11-29  4529.959868  5433.422211\n",
-       "2017-11-30  4529.959868  5433.422211\n",
-       "2017-12-01  4673.239436  5324.589093\n",
-       "2017-12-04  4673.239436  5324.589093\n",
-       "2017-12-05  4673.239436  5324.589093\n",
-       "2017-12-06  4673.239436  5324.589093\n",
-       "2017-12-07  4673.239436  5324.589093\n",
-       "2017-12-08  4673.239436  5324.589093\n",
-       "2017-12-11  4673.239436  5324.589093\n",
-       "2017-12-12  4673.239436  5324.589093\n",
-       "2017-12-13  4673.239436  5324.589093\n",
-       "2017-12-14  4673.239436  5324.589093\n",
-       "2017-12-15  4673.239436  5324.589093\n",
-       "2017-12-18  4673.239436  5324.589093\n",
-       "2017-12-19  4673.239436  5324.589093\n",
-       "2017-12-20  4673.239436  5324.589093\n",
-       "2017-12-21  4673.239436  5324.589093\n",
-       "2017-12-22  4673.239436  5324.589093\n",
-       "2017-12-25  4673.239436  5324.589093\n",
-       "2017-12-26  4673.239436  5324.589093\n",
-       "2017-12-27  4673.239436  5324.589093\n",
-       "2017-12-28  4673.239436  5324.589093\n",
-       "2017-12-29  4673.239436  5324.589093\n",
+       "2017-12-25  5324.589093  4673.239436\n",
+       "2017-12-26  5324.589093  4673.239436\n",
+       "2017-12-27  5324.589093  4673.239436\n",
+       "2017-12-28  5324.589093  4673.239436\n",
+       "2017-12-29  5324.589093  4673.239436\n",
        "\n",
        "[261 rows x 2 columns]"
       ]
      },
-     "execution_count": 34,
+     "execution_count": 30,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1024,11 +708,18 @@
     "res.backtest_list[0].positions.diff(1)\n",
     "res.backtest_list[0].positions"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1042,9 +733,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/examples/fixed_income.ipynb b/examples/fixed_income.ipynb
index e4486151..4dc9ab9b 100644
--- a/examples/fixed_income.ipynb
+++ b/examples/fixed_income.ipynb
@@ -4,7 +4,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "# Fixed Income Examples\n",
+    "## Fixed Income Examples\n",
     "This example notebook illustrates some of the more sophisticated functionality of the package, especially related to fixed income securities and strategies. \n",
     "For fixed income strategies:\n",
     "\n",
@@ -47,12 +47,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Setup"
+    "### Setup"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 1,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -66,7 +66,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -81,20 +81,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
     "# Utility function to set data frame values to nan before the security has been issued or after it has matured\n",
     "def censor( data, ref_data ):    \n",
     "    for bond in data:\n",
-    "        data.loc[ (data.index > ref_data['mat_date'][bond]) | (data.index < ref_data['issue_date'][bond]), bond] = np.NaN\n",
+    "        data.loc[ (data.index > ref_data['mat_date'][bond]) | (data.index < ref_data['issue_date'][bond]), bond] = np.nan\n",
     "    return data.ffill(limit=1,axis=0) # Because bonds might mature during a gap in the index (i.e. on the weekend)    "
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -108,14 +108,23 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Market Data Generation"
+    "### Market Data Generation"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 5,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/homebrew/lib/python3.9/site-packages/IPython/core/interactiveshell.py:3397: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version\n",
+      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
+     ]
+    }
+   ],
    "source": [
     "# Government Bonds: Create synthetic data for a single series of rolling government bonds\n",
     "\n",
@@ -168,9 +177,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 6,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "/opt/homebrew/lib/python3.9/site-packages/IPython/core/interactiveshell.py:3397: FutureWarning: Units 'M', 'Y' and 'y' do not represent unambiguous timedelta values and will be removed in a future version\n",
+      "  exec(code_obj, self.user_global_ns, self.user_ns)\n"
+     ]
+    }
+   ],
    "source": [
     "# Corporate Bonds: Create synthetic data for a universe of corporate bonds\n",
     "\n",
@@ -226,12 +244,12 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Example 1: Basic Strategies"
+    "### Example 1: Basic Strategies"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -425,7 +443,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -478,7 +496,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -531,67 +549,49 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 10,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f2992a49690>"
-      ]
-     },
-     "execution_count": 11,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
       "image/png": {
-       "height": 259,
-       "width": 396
-      }
+       "height": 262,
+       "width": 395
+      },
+      "needs_background": "light"
      },
      "output_type": "display_data"
     }
    ],
    "source": [
     "# Total PNL time series values\n",
-    "pd.DataFrame( {'base':base_test.strategy.values, 'hedged':hedge_test.strategy.values} ).plot()"
+    "pd.DataFrame( {'base':base_test.strategy.values, 'hedged':hedge_test.strategy.values} ).plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 11,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f29855fd490>"
-      ]
-     },
-     "execution_count": 12,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAv4AAAHxCAYAAAAV27jxAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAABYlAAAWJQFJUiTwAADLRUlEQVR4nOzdd5wV5d3//9ec7b2xjaW3gaV3EBRBUUAs0SSWiBqNMX6NyZ2iieWXxERN9441id6xRDEqlqiIDekgRaSXoSwLLOwuC1vZvufM7485e7Yvu7DLsuz7+dDH4cxcM3PN2VM+c83nui7Dtm1EREREROT85uroCoiIiIiISPtT4C8iIiIi0gUo8BcRERER6QIU+IuIiIiIdAEK/EVEREREugAF/iIiIiIiXYACfxERERGRLkCBv4iIiIhIF6DAX0RERESkC1DgLyIiIiLSBSjwFxERERHpAhT4i4iIiIh0Af4dXYHzhWmam4C+wElgXwdXR0RERETOTwOAcOCAZVmjW7OhAv+20xeI8v6f0sF1EREREZHzW9/WbqDAv+2cBKIiIiIYMmRIR9dFRERERM5Du3btoqioCJzYs1UU+LedfUDKkCFDePXVVzu6LiIiIiJyHpo3bx7r16+H00gtV+deEREREZEuQIG/iIiIiEgXoMBfRERERKQLUOAvIiIiItIFKPAXEREREekCFPiLiIiIiHQBCvxFRERERLoABf4iIiIiIl2AAn8RERERkS5Agb+IiIiISBegwF9EREREpAtQ4C8iIiIi0gUo8BcRERER6QIU+IuIiMh5xy7IwT64E9vj7uiqiJwz/Du6AiIiIiJtwXZXwf7NeLYuh0M7ATCGTsW4/LsdXDORc4MCfxEREenU7Pwc7G0rsHesgpLCuuv2bMCeeQuGy6+Daidy7lDgL12CnZeFvXkpRCdgjJqBYRgdXSURkfOSbdtQXgrF+VCcj32yAEoKICgMo/9IjNDItjtWWTH20texd61tulBlOeRkQGLvNjuuSGelwF/Oa3ZVJfaGj7HXfwTuKgCMuBToNbjtjlFWgr35CzhxFGPiFRjderTZvkVOh2f3OuzV74GfP0TEYITHQkSs8++IWv8ODOnoqsp5xD6egWfZm3BkL7grGy+z2ICegzEGjccYOAYjJOL0j3doJ55PXoSTeXVXhEVjDLsQO+sAHNzulD2yB0OBf7uzSwqd39zMNHD5gZ8fuPzBzx/Dzw/CYzEmzsUIDu3oqraa7fFAeTGUnvT+X4RdWoyR0KtTvbfO+8DfNM1LgQeBkUAAsBH4o2VZn3Roxbow+8he7F1fYqRegNF9QPsd5/BuPItfhbysest3YbRB4G+Xl2B//Tn21587rVuAnXMY162/xTDUb146hp1hYX/yL6ju0JibiV17fe3CQaG1LgjiICYBIzoRYpIgqhuG33n/EyFtwHZXOcHe2g9r3ndNFrbh0C7sQ7uwv3gNeqXiGjUdo/+olh+vqhJ71TvOd29tfYbhGnEx9BuB4fLDs3kJti/w3wtjZrbuxKTF7Mpy7K8XY29YBBVljZepfsw6gOu6n2L4B5y9CraQ7fFA/jHIy8LOy4a8bOy8LMjLhuIC6n2DOtsArpv+P4ykPme7uqflvP5WN03zNuAloBxYAvgB04GPTdO8y7Ks5zuwel2SnZeF550noKoCe8dqXFfeg9FvRNseo7QIe/lb2DvXNL4+68CZ7b+8FHvTYuyNn0F5Sd2VuZmwbxMMHHtGx5CuyS4pwv7qE+z8YxjhMRAZhxEZCxFxEBkHoZHNpqnZhcfxfPj3Uwdf1cpLnP+PZ9T8KFevM1wQ2Q0SeuKaeh1GTOKZnJqcp+xjB/F8+hLkHK67IiAIwqIgLAojLBpCI7FzDjl3A3wbe+DgdjwHt+O68SGM5H6nPl7OYTyLnocTR2sWhoTjuvRWjIFj6pQ1UgbWvJ+P7sO2baV5tjHb9mDv/NK5w1j/zktTjuzBXvxvuPz2c+bvYZ/Mx966DHvr8gZ9RFqkorTtK9VOztvA3zTN7sA/gAJgqmVZ273LxwOLgSdN0/zIsqwjHVjNc5Jte2DfZudLecDoNusQZXvceD7+P6iqcBa4q/B8+Cyuq+/F6DPszPefl429dTn29pV1A/LAYIxRlzjpPgBZB07rB8B2VzkB/7qPGgb8AUFOHingWf8RrgFjzpkvNOkc7LQteD572fej0yAQB4hJxDXzNowegxpuX1mO5/1noLTIWRAaieuKH0BlGXZRHhTlwsk87KJc599Fub70t8Yr5IGCY1BwDI/Hjd/V97bFabYpu6oSco9C4QlvWkGAk1rgF+CkOYVFYYRFdXQ1z0t2VSX2ug+x13/svFeqJfdz3qPdUhrfrigXe+9GbGsDZO6vWX5kb7OBv23bzvfvigV1L2z7DMd1+Xcb/zvHpUBQiLe/QYHTknseXMCeCxcwdulJ7IM7sDd83PCiLzYZY9KVGKFR4Kly/l7uKuyj+5wGM3Aa5mKTMSbM6YDaO2zbhsw07E1fYO/9qmUNJsFhEBIOIREQHIYREg69h0JPs/0r3EbO28Af+CEQBPy+OugHsCxrg2mafwQeA74P/LqD6ndOsstLnOA8bYuzILG38yWe0OvM973uI6jf2u6uwvP+M7iu+RFG79TGt8vLgtwsCIuGqDgIDvd96dkeN+zfgmfrUji4s8G2xqBxGBffAGHR2FuXQVmxE7S38gfAPrQLz5L5Tot+bdGJzhdcr8F4/vWAk9eafRAO7oA2uJiR9mXbtjPix/pFzpf44EnOeybo7OW+25Xlzh2qrctOXTgvG8+CP2FMvhpjwhUYLielzLZt7Nqtri4/XFf+P4yUgQA0FiLYtu1cJBTlQmEuduFxyM/GznNuc1OUh++y4wzvkrUFu6rSabXNOQTHDmPnHHY+j6f4sTbMCRgXfcvp29DUvksKsXd+6TQSDJuq0V9OwT6wDc/yN+t+H/oFYEz9Bsbomb73ZWOMiFiMMTNhzEw8Gz7BXrnAWZGf3fTxKkqduwp7N9Ys9A/EmHY9xohpTQbBhssF3QfAgW3Ofo7u7dR3ruxjB/F8/goU5eGa+wOMHmcv2LRtD2Qfwk7fhn1gG2SlOWlbtYVGYlxwNcawCxv/DA0YA2XF2DtWO/tc9Q52dALGoHFn4Qzqsvd9jWfdR5Cd3nBlSATE93TeKzGJGDFJTrwQGXdefDecz4H/LO/jfxtZ91+cwH82Cvx97BNH8XzwjJPLVi37IJ75v8MYPwtj0lWnnZNnZx1w8j+9jNGXYu/f5LTUuSvx/PcpXN/4MUavIU5524ZDO/F89Zmvc5ZPQJCT9hAZ54zU0Njtxah4XNNvxOg3smZZYt+ajl5ZB1r0A2AX5WGveAvbWl93RXSCE/APnuj7IjCGX4i9eQkAnvWL8FPgf06zC0/g+eI1OLC1Ztnh3dhL5mMMGIOROhl6p7brF72dmeZcaNcOesKiMCbOde6MFZ5wWugLTzify6oKsG3sNf/FPrwb1+w7McKjsTcswt6zwbcLY8Z3fEF/UwzDgNBI5//EPg0uDuzKcjzP/di5mC0uwC496bRu1VpPaRGUVHdyK3I6vIWEY/QbiREc1hYvkTNM49Zl2NtXQdnJ1m9vrcdO2+J0vB9zWZ3vMPtkvpNatXV5zZ3IjD0w645mg9dzjW3bgH3KvkV2US724d1wIhMSemEMHNuq87RPHMWz/C1I31Z3RcpAXJd9t9VBtRGXXHNnK6/xwN/5XXq2bl+txD645tzpBGSnOkbKICdQBcjYC0OntqqO5wLbtrE3L8Fe8ZbvLp1n8au4bvltu79PfXda1i9qOgXGPxBj7OUY4y9vdsAAwzDg0luwC45DhgWA55N/4Yrsdtby4+3Sk9hLXse21jVc2X0AxuhLnO//87h/03l5ZqZpGkAq4AF2NVJkj3fdUNM0DcuyGvbWOA81d3vQ3rsRzyf/8qWrAM6tc48bbA/2+kXYezfimnlrq1sZ7MpyJ7ipvh3cfYDTUjP6UjwL/uRNOfAG/1f/ELu4APurT+F4RuM7rCx38jtr53gCYEDf4bhGXgx9hjf4QjSS+vo6epF1AIZMarrO5SXY21dir3m/7msSGOy0to6a0eCLwRg3ywkgPG7IsJxb16cIvjqKXXrSqeOh3diHdzkBW49BTiDQd8RZbfE+22yPB3vzF05Oau2/bTV3Jba1zvlhCIuC6ASoqnJuWbtr/Q9gGM7/GE6zun8gRv9RGKMvbTbFxK4sdzpDrvuobprEgDG4Zt7S6EgndlGuk9tcnSN9eDeeV3+DMXJ63YvqkdNxjZh2Gq9MXUZAEMQm+e4i2Id2Oq3uh3Y5wWMz+by2n7+TgjFkEvQb2eoGA9vjgfRteLYshQPbaaxDnU9UvFNPG+cixeN2/l5V5TXfEZXl2Kvexd6+CtfFN0B8T+f137aiQbqTvXut8ze9/PYmgyo7Lxt79zqnXjFJGLFJzmNAUKvO80zZ2elOeuOeDc45xyZhxHaHuGSM2GSIScTOzYLDu7AP7W7Qqm7Hdcc1+WoYOKbZiwa79CT2lx9gb1la9/0aGIwx5VqMUdNPb0CD6FoXCvnHGqz27F6H/fkrdT6nxqgZzu9HCwOz2nn+9tG9zZbtKLbH0/R7rfQkns9egv2b667IzcS21mN4f8fsynLnrksbXgjY7irsxf/2tdDXZUBSX4y+wzCGXYQREdOifRp+/riu/H94/vOY8zevqsDz/lO4bnq42btybcFO3+7cOSrOr1no5+804I2+BCOh84zMcyYMu/6tmvOAaZqxwAkgx7KshCbKZAMJQJRlWafRk6PB/pYB0yZMmMCrr756prtrEdu2nR+uE0cxhk5pNB3Htj3YezY6+e25mc6PU2IfSO6LkdQXYrtjr/2wJv8dnODlstswEnrj+fzlup2xwBmNZ+hUSBnYoi8Zz5L5vpZwAoJwzXsEIzreqV9eNp4Ffz5FpyADUgZAWQkUHm8YrIVGOrcWh1+EEdWtyb3YaVvw/Pcp50lUPMaYmU4LVVQ8FJ3Azj4I2Qedx4KGP0LG4IlOykB4019wnk9frPmS7D4A1/QbIaF3u+Rj2kf3YW9Zil1aDNje2Mh2br9WB6EBwRAY5NwlCQh2AqCM3ZB9iCaDKT9/6D3UafUIDHJay2ISnRaddm4FsQ/txN75JcaQSRi9h7b9/gtP4Fn493qpKwbGyIshOt5J96ifr3o6/Pydz+SUa+u2kns82Lsa6QgXGIwx/UaM1CnNd971uJ3P69qFNPr362E6o2W00d/Js+gFJxA+E4EhTqfLhN7OZ7eyDCrKvf8ud2ZatT3O+9Zd5bS8Fxxv/DshItZ5XyT0wojvCd16NHuRah/ejWfJ63CiXlcuw1U3gAXnIq+4oKZI6gUYl323znec7fE4rZ+r3m18uMrwGCdvue9wZ/taf/u2ZGdYzrCZxw62zQ7je+Ka8g3oOwLDMJy/SW4m9rGDTnrHri/r9WsyMIZfiHHBNWfUh8J2V+F56ge+lBFj5PSaHOoTmdjbltcU9g/EmHmrczHZmmNUVeJ59oe+CzzXdx9vl3Qf2+OBnMPORXFWmvMeCw73nk+Yk0oYEIR9Mh8Kjzut3oXHnfd6eQnEdcdI7u80jKUMcC6Kjux1LvZrfxaq+yyAMypXcJjTEl9Z7nyPDL/I+W07wyDarqzA898n4fDumoUhEU5/vL7DMXoPPaP3t52b5QT/1e+ruO7Od2Z8L0joeUbDvDY4lm1jL3+zwShQxtApGBd+CyO07Y51tsybN4/169cDLLcs6+LWbHu+Bv49gUPAQcuy+jRRJh3oDaRYllW/6bi6zG3AbS087Cgg6qwG/nlZeF56yHliuDDGXOq0RgcG1wT8az9opGW8lvo/gFHxuK66x/lRxXvhsHWFk4dZf4iusCiMAWOd/LwmLgLs9O143v3fmsNddhuuYRc2PI+3/lTnRxdwvuiHTXW+xKITvPWxnTz96i/MgCDoNaRFgY5dXIDnnz89ZbkGYpNxzbi5RUOA2rlZeF5+mDpBWXiM0zKS0MtpUUjs3eDH0rZt54u7vNRJlWimhdT2uLG//BB7/cKGOZbtqXcqrivubrfxl+3iAjz/+qU35cLAmPZt52/fhhdNno//zwliqsV1d+5i1RpW1s45jL1zjTMh0OmM7lBbWLTT8bDPMOyDO/GseKvhhUXKQFyz7sCIim/xbu1Du/F8/Hzdz0xknDOkXBv+iHnWfYS9+t3GV7r8nFzY0AgnIPB2drOz0hrPmz1thjNM46jpjd7JOxXb48besgx7zX8bdsoHSOyLa/KV0Hc49uLX6gSbxtApTiOI4XIaKT59EY7ua9mB/fyd/gUjpkFy/zZ7H9tVlXj+7/7Te2/6BTjf1TEJzvu7/nd6dePRiaNNd/zuYeK6+IY26fcF4P7XL6Egp/lCMYlOn5XTnCPF/eYfahqw/PydFuoJs888OM7Ncjq4Ht7tBMiNvb9OV3C4M2Z8re94Y8xMjPGz8bz8UE3w3xiXn9N4Mn62c+fnNHjWL8Je9U7NsYdOwbj0ljZt/LEP7cbz7hON99MJj4H4Hs4FxvBpGAGBze8rOx1732aMPkMb3Gm3921y0pirhUbiuvQWjAGj2+I0OoQC/3q8I/ocAdIty+rbRJl0nMC/p2VZjeaUmKb5G1rZB+CsBv6lRXhe+VXdH4CIWGcEm51rGrZynUrvYU7eZCNX8XZRrpMPXd3pt76wKEjqhxEWCaHeIdxCwvEs/U/NbbX+o3Bd9cNGfwDt3Ew8C/7ilA2Lwhh1idNpq41bzNzv/LXRTsANuPygW4rz5TnqklZ92Xk+fcmZNr45YVEQHg1lpTVDKlZfgAUEYQytvuCpGwza+TlOwJeZ1uL6NMownLzunkOcfhWhEdj7N2Pv3dh8i3dsMq5rftygXm3Bs/xN34gPvmqOmoFx8Y1tdvva/fqjvtZ+Y9wsjCnfaPJva3vcTkdtd5VzF6T6f5ef8+iUcn6Yq++2HDuE56tPnRa/2uJ7NnxdfR3hLjqt87NLCp30vPTtEByG65s/b7NgzHeM4xl45v/OeQ38AyFlQM17JqFXk/0f7Nws7N1rsXeta/TuWYsEhzl38kZM8134nwm7pMjpTLh9FWBDcn9ck69y7m5VDxZge7A//7czMpiXMXQKxPdygqDqfgDgdP7rPbRm8IGCnKY7GnfrgTFsqnOh5EsXq3QeA4IwBoxu9k5ibR5rPfZH/3SeVF9cDL8IYpOdVvrcTDhx1HnMP+Z8n/YcjNFzCCT38zUq2KUnnf4Nm76oe15NiUrANe1b0H90216Mr3rHyR9vyoAxuC6//YzSDz1bl2Evrve77OePMeNmXMMvbHyjZtjZB/Gsec/XabjdBYc5r4F3rgPPpi+wl75et0xjd7EwnN/dCXNaNFRqbXW+K8fPxph6XbvcufZsX+WkczWoey0Rsc539ZBJDVLK7IIc7FXv1crZN5zv1YlX+MrWafDpnYpr9vc7ZSt/bQr86zFNMwrIB7Ity2q090+tVJ8Yy7LymyhzG+dwiz94W8sXv1r3dlx9AUFOzvGIaVBwHDv7gDOkZVa603KOgTFhjnPbtpkAxLZtOLLX6Sy3d2PrWpxCI3Hd8kizU7XbFaVw/KgTULTTxB62uwrStzs/irlZ2PnZzp2DsEiMhD6Q2Mt57JZy+h2ZPR5I24y992vstC2n3wpkGM6P3tjLMLoPwLPzS+wlr9Vtpeth4hp7mfOlX/2lbBhOMFpViV1Z5txJqPCmWNgejKR+kDKoyZZ7O/8Y9r6vsfdvhqoKjOgEZ+i9aiHhzgVcG/ZfqNvaX0+/kbjmfB8jMPiMj+N+/ue+2+auO/7Qqlb2lrJtG/ZvwvP5v2uG1qythR3hWnys3EwnuGujzrQNjlFw3Pmsx/dsfa6+bTvfNfu+dt63AUEQGAwBgU7qWUCQc+FluMDlci6q/AOd9LS40/8MNlun/GNOXeJ7Nt4IYXuwP3ul6Yt3l58zotLEK+pcNNruKuf7NcNy+vq0Jg2nOjVs3OxTXlS7F/zZ931vXHANrklXtvw4jbCLC5w+XFuX1W3lj+zmS6kyEntDr9T2+XvYNmTud95npSedO7plxc73Va9UJ8WyDQJOO20LnrUfNhihyrh0njPpV0v2cTwDz5r3Yd/XjRfwXmTRw3Te62XFdc7Jrih1fgOj4p0J8iLjnH8HBkNWOnbmPuyj+527SmXFzj5TBjrff/XuTtjHDjljx4dGOR30g4LhwDY8Gz5ukJ4LOBcAU65tcpjVOvuufXfccOG6+2/t9v0C3oaCQzvh2CHsnAynf19jqXQJvXBd9G2MXkOcC9d1C51+J43dneo3Etes70FgMJ5//sT5O9C5JtpqjgL/eryde4uAYCDYsqyqeuv9cSb1qrAsq016MXZEjn8127advOHlb/re3IA34L8EY+xlTebL2SVFTjDYyjxN2+OBjD3Yezdg7/36lBcBrqvvbdXMjOcL2+N2Wt+qc2WPHYRjhxoPcP0DnZbkxi4UouLr3g53+TkXauNmnZXRRzy71mJ/9lLNF6yfP8blt+MaPLFt9l+7tT++J0ZsUt2LjYTezpCv4dGnfQzb9uD5212+liXXj/7RrjNH2iWFztB71Z3yDMO5k3PB1S1u3ZWO4QT/Lzfs1NitB65Zt7eoE6Cdle6MRrR7Xcta1MFJ2Rw8AWP8nEYDNDsvG89LD3rLGri+9+cWd6o8ZX2L8rCP7nNaQuN7tmug11Fs24aDO/CsWFBn8AhjxndwjZrR9HZ52dhfvo+9ez11+9YYzizBfYY5AX9scttcpNi2M4pRWbFzl6aVHaftI3udC4D6d+gNw+l7MvkqjMim+8N5tq/E/uxl50kPE79v39/KMzgztsftzJh7aBf2uoUN44sepnMHtf5vZWScMwJategEjPGznTsK4DRA3vXX0+uIfo45k8D/vBzVx7Is2zTNHcAEYBBQP7fDBFzAWbpP174M74fZ7jvCN8yf0X8UxrjLT9lB5nRvdxkuF/QajNFrMPb07zg5vUUnsIsLoaQAiguxSwqhvARj0PguGfQDTipEfE+nz4S3r6ozJXi2k6MZHOp00AoMwfAPqPlh2viZMxdAtdpBf3SC0wKU1GgWW7twDZmEHdWtZoIodxX2oufxFJ5wbgOfwY+dXVyAvWVZzbEuuAb6jYDIeGf6d4BjB/H85zEn+Pf2P2k170Uu4KSRtPN08UZoJK6rfgh7N2JnpztzBMSfXo6ynF2G4YKZtwE4wb/hclr5J81t+WgySX0wkm7DvujbTprB0b2A4U0ZC/CljtlH9takhtke7F1rnfz7fiOd/Obu/Z1UIT//OilI9B3RZkE/gBERg2GOb7P9nYsMw9tfJKmfM4N8ttP6by+Zj8e2cY2+pE55Oy/baVXetbZhKsrAsbguuAYjrnv71PM0c/PBGcnIL2Ug9vEM7HUf1QxHbdvYO1Zj716HMXK6855uJAaw02qGODb6jTjtepwuw+XndPaN64499ALsDZ84DUO+IXetuhsk98d10bcguZ8zetdXnzjL84/VBP3gdLo/D4L+M3VeBv5en+AE/tfQMPC/xvvYTGJh52OEhGNccvPZP67LBcn9nJaJs370zsdwuZr8Uq/+YfLrM8z50t74mdNi6G1pN4ZOwZh+U5ukvbSW0X0ArpsewvPek76Je+xV7zgXJZfcfNrj3dsbPq75Qk/o5QQ8hoFx4XV4orphf/Ga86NblIvnP49jXHoLrtTJrT9Q7SHcwqJPq66tZRgGDBrXIRPUyJkxXC647LvOSDNhUafdEdQIDsUYfQnUCyqr2bYNhy086z+CQ7V+qtK2YKdtcdqX/QMhqW+dfiJtMWRrV2UEh+L65k/xvPO/vosue+nrTvA/5lLsvCzstQudEa3qZ0X0HYFryjWdYuhHo1sPjCvuwh4/G8+qd2vmX3BXYX/9Ofautbiu+0mdc7GrKus0OtWZC6cDGIEhGFO+gT1imtOwuWMNvrsu0Qm4pl4HA8f6Gp+Mi76FndTHGbaz3giARt+zfxFzLjqfA/+XgPuBX5im+allWRsBTNMc511eCjzXgfUTaZbRrQfG5bdjT70Oe+9GjNgkjF6Nz2581uoUFY/rhgecCXW8rS72thXYRbnOTJKtzFlv0No/+eo6dw9cI6ZhR8Y5Q3BWlEFVBfYn/4cncx/GtBta12p/Mr/m32eQMiRdh2E4Y5W3+zF6Dcav12BnQrf1i2D/prqFqirqtnKGx2hm8DNkBIXiuu4nzqhz3sES7GX/wZ222elDUT/g7zXEaeGvNQJYZ2Ek9MLv2v/BPmzhWfV2zeAQpUV4FvwF1zd/5gzzDc77rDpgjk6AFkySdjYYEbHO7+HoS527cNXDfzZyB84YNB5XbHc8Hz5bMyGpyw96d+zv57nivA38LctKN03zZ8CzwJemaXoHkmcGznnfYlnWaQ43IXL2GGFRGM3kn55tRnAYrmt/gv35y84tcID07Xje/COuWXeAxwMl3lSvkiIn3Su5n68lvzZ7w8c1nbgSekMjrUtGn2G4bnwIz4fP1dxp2LIMO+sgrivvdjrItYBdK/fzTPoKiLQXI7kfflf/0OnsmL7N6fR6dL8zyWHtciMvbtcZpbsKIygU17U/xfPe32qGaT1Ub87P3qm4Jl11zk7G2BpGTxPXDQ/Cvk3OpGDeEeU8b/8F17U/xUju5wxIUV2+ke/sjuYMi33q0cuMbim4bnoY+4v52Ps3OWlNQe0zFHVnc94G/gCWZT1nmuYhnBb+qTgdelcBj1mW9UWHVk6kEzP8A2DW95w8/HXeWWNzDuN59TeNlrfBGYHokpt9ObENW/uvavJHxojrjuumh5zRVvZ4O/1mH8Dz2m9xzf4e9E5tEAjZHo8zosyBrc6PWe3hNM9Sqo/I6TBivbMBMxNwOt6SuR8764Azz8fYyzq2gucRIygE17X/46Qw1h4Np/dQ5zupE7bwN8cwDBg4BldkHJ63/+IN/kvxvPMErmv/p0Hg35kZQaEYc+7Etu1z7gKmI53XgT+AZVkLgYUdXQ+R841hGBhTrnHy8Bf/u+kxzKtlWHhe/Y0zlOWkuS1q7a9zvMAQuOIu6N4fe8UC53hlJ53WOvAOFRnizGwZFAL5OY0Ppwk1t7VFOgEjIgYi1FekvRiBIbi+8T/OJG9lxc7cEedZwF+fkdgb17fvd+bPKTsJFaXOv6u/kwND4Dy4ywEo6K/nvA/8RaR9uYZNxY6IxVM9x0BoJIRGYIQ4j1SUOTmZtgc8buwNi5zJVoprhmhrrrW/NsMwMMbMxE7sg2fhP+p22K0sd/6vvaxORf2gh4mROhk68YyNItL2jMBgjItv6OhqnFVGfE9c37rPafkvLaozdr7RZ2ibztIr5w79VUXkjBm9U/H77uNNrrdHX+LM/FydR1t7rOXEU7f2NzheykBcN/8Ke+l/sA/u8E5f38icJKGRzhBufUc4M7SeweyfIiLnGyO+h7fl/891x8vv5Gk+0jQF/iLS7oz4nriu/wX2jjVOmk5ZzURz9UfyafE+w6Iw5v4AcCZcoqLcmcmyrMR5DAiC+B4at1lEpBlGXPea4L+4AIJCNPTleUyBv4icFYbhwhg2Fbv/KOzV7zqTyAwYA23wA2MYrprc/tMcb11EpKsyYpNxfedX2LvXYvQcjBES3tFVknaiwF9EziojJBzj0luwL5mnTlciIucIIzwaY9ysjq6GtDPdAxeRDqGgX0RE5OxS4C8iIiIi0gUo8BcRERER6QIU+IuIiIiIdAEK/EVEREREugAF/iIiIiIiXYACfxERERGRLkCBv4iIiIhIF6DAX0RERESkC1DgLyIiIiLSBSjwFxERERHpAhT4i4iIiIh0AQr8RURERES6AAX+IiIiIiJdgAJ/EREREZEuQIG/iIiIiEgXoMBfRERERKQLUOAvIiIiItIFKPAXEREREekCFPiLiIiIiHQBCvxFRERERLoABf4iIiIiIl2AAn8RERERkS5Agb+IiIiISBegwF9EREREpAtQ4C8iIiIi0gUo8BcRERER6QIU+IuIiIiIdAH+HV0BANM0fwP8GuhpWVZGE2XGecuMB8KBHcCTlmW93kT5QcAjwFQgDtgHvAA8a1mWp63PQURERETkXNbhLf6maV4DPHSKMjOBNcBsnIB/KTAcmG+a5mONlB8JbABuAA4CnwA9gaeAf7dh9UVEREREOoUODfxN07wHeItm7jyYphkCvOZ9OtOyrEssy7oSJ/DPAB40TXNsrfIGTnAfCcyzLGuqZVnXAoOArcB3TNO8rl1OSERERETkHNUhgb9pmoNN0/wIeAYoAIqaKT4PSADmW5a1tHqhZVn7gV94n/6oVvmZwAhgmWVZr9UqnwPc3Uh5EREREZHzXke1+P8DmAN8DowFcpspO8v7+N9G1i0E3DgpQKcsb1nWGuAYMNU0zYhW1VhEREREpBPrqMB/A3CVZVmXWZZ16BRlh3oft9dfYVlWIXAUiDdNM/FU5as3wznv1NZVWURERESk8+qQUX0sy7qvFcWTvY+ZTazPxOm4mwhkt7A83vIiIiIiIl3CGQf+pmnOx0nXOZX3LMt64DQOEeZ9LG1iffXy8HrlS1pYvkmmad4G3Haqcl6jWlhOREREROSsa4sW/96A2YJyyacu0ig3YFiWZZ+iXHXaktv72NLyzekDTGtBORERERGRc9oZB/6WZU1ti4o0oxiINk0z2LKsskbWh3gfT9YqX3v5qco3Jx1Y3pJK4rT4R7WwrIiIiIjIWXVOzNx7CkeBaCAJJxCvr35O/1GcIDwJ2N2C8k2yLOtl4OWWVNI0zWXo7oCIiIiInKM6fObeFqgenafBKDymaUYC3YEcy7KyW1DeAAbjpAPtbPuqioiIiIicmzpD4P+J9/GaRtZdCfgBi1pY/gIgHlhlWVZzk4aJiIiIiJxXOkPg/w7OpFu3maY5p3qhaZr9gD/gdOJ9olb55cAOYKZpmnfWKh8PPOd9+tf2rrSIiIiIyLnknA/8vZN03QkYwELTNJeapvkBsA3oATxsWdbWWuU9wO04nXefN01zrWma7+JM3DUCeMGyrA/P9nmIiIiIiHSkcz7wB7As6wOcjrOfAaO9/94KfNuyrMcbKb8emIhzt2AgcBlwEPgBcPdZqraIiIiIyDnjnBjVx7KsPi0oswaY1Yp97gS+eQbVEhERERE5b3SKFn8RERERETkzCvxFRERERLoABf4iIiIiIl2AAn8RERERkS5Agb+IiIiISBegwF9EREREpAtQ4C8iIiIi0gUo8BcRERER6QIU+IuIiIiIdAEK/EVEREREugAF/iIiIiIiXYACfxERERGRLkCBv4iIiIhIF6DAX0RERESkC1DgLyIiIiLSBSjwFxERERHpAhT4i4iIiIh0AQr8RURERES6AAX+IiIiIiJdgAJ/EREREZEuQIG/iIiIiEgXoMBfRERERKQLUOAvIiIiItIFKPAXEREREekCFPiLiIiIiHQBCvxFRERERLoABf4iIiIiIl2AAn8RERERkS5Agb+IiIiISBegwF9EREREpAtQ4C8iIiIi0gUo8BcRERER6QIU+IuIiIiIdAEK/EVEREREugD/jjioaZohwM+AbwMDABvYDbwMPGtZlqeRbS4FHgRGAgHARuCPlmV90sQxxgG/BsYD4cAO4EnLsl5v6/MRERERETnXnfUWf9M0w4EVwO+AFGA5sBYYDDwFvGuapl+9bW4DPgcuANYBXwJTgI9N0/x+I8eYCawBZuME/EuB4cB80zQfa5cTExERERE5h3VEqs9DwDjgC6C/ZVmzLcu6BBgK7AWuBr5XXdg0ze7AP4ACYJxlWXMsy7ocJ/AvBJ40TTOlVvkQ4DXv05mWZV1iWdaVOIF/BvCgaZpj2/skRURERETOJR0R+N/qfbzTsqz86oWWZaUD93mf3lCr/A+BIOB/LcvaXqv8BuCPQDBQu9V/HpAAzLcsa2mt8vuBX3if/qgtTkREREREpLM4q4G/N81nL7DesqwDjRTZ433sXmvZLO/jfxspX71sdgvLLwTc9cqLiIiIiJz3zmrgb1nWScuyplmWNbGJIuO9jxkApmkaQCrgAXY1Un6Pd91Qb1lwUoYAttcvbFlWIXAUiDdNM/H0zkJEREREpPM5Z4bzNE0zCHjY+/Qd72MMTprPCcuyKupvY1lWFXAcCAUivIuTvY+ZTRyqerkCfxERERHpMs54OE/TNOcDLeks+55lWQ80sQ8DeBEYiNOy/y/vqjDvY0kz+y31PobjdPYNq7e8ufLN8o4mdNupynmNamE5EREREZGzri3G8e8NmC0ol9zYQu/Qnf8H3ATkAddallXuXe32Ptot2H/13Qs3YFiWdaptWnK3ow8wrQXlRERERETOaWcc+FuWNfV0tzVNMwz4D3AlkAtcZlnW7lpFir2PIc3spnrdyVrbRJumGWxZVlkLyjcnHWeegZYYBUS1sKyIiIiIyFnVITP3Ang7136EkyaUAcyyLGtHvWKFOIF8N9M0/b05/bX34Q90A8pqDQ16FIgGknAC9/pO1QfAx7Ksl3FmEz4l0zSXobsDIiIiInKO6pDOvaZp9saZfXcssA2Y3EjQjzddZwfgBwxqbFc457Ct1rLq0XxSGzluJM5QoTmWZWWfyTmIiIiIiHQmZz3wN00zFlgM9AVWABdalpXRzCafeB+vaWRd9bJFLSx/Jc5FxKJG1omIiIiInLc6osX/OWAAsAmYbVlWwSnKvwSUAb8wTdM3epBpmuOA+3FG6XmuVvl3gGPAbaZpzqlVvh/wB5yOwk+0wXmIiIiIiHQaZzXH3zTNocC3vU+LgOdNs9EBgXIsy/oJgGVZ6aZp/gx4FvjSNM0l3jIzcOp/i2VZx6o3tCyr0DTNO3EuABaaprnce6xLcMb7f8iyrK1tf3YiIiIiIueus92593Kgeobdi5opdxD4SfUTy7KeM03zEE4L/1SgHFgFPGZZ1hf1N7Ys6wPTNKcBvwImeY+5FXjCsqwFbXEiIiIiIiKdyVkN/C3LeoLTTLOxLGshsLAV5dcAs07nWCIiIiIi55sOGdVHRERERETOLgX+IiIiIiJdgAJ/EREREZEuQIG/iIiIiEgXoMBfRERERKQLUOAvIiIiItIFnO1x/EVEROQ8Yds2hYWF5OXlUVZWhm3bHV0lkU7DMAyCg4OJiYkhMjISwzBOvdEZUuAvIiIip+XYsWPk5uZ2dDVEOiXbtiktLaW0tJSysjISExPb/ZgK/EVERKTVTp48SW5uLoZhkJiYSGRkJH5+fh1dLZFOw+12U1hYSHZ2Nrm5uYSFhREeHt6ux1SOv4iIiLRaYWEhAHFxccTExCjoF2klPz8/YmJiiIuLA2o+U+1Jgb+IiIi0WklJCQAREREdXBORzq36M1T9mWpPCvxFRESk1aqqqgAIDAzs4JqIdG7Vn6Hqz1R7UuAvIiIirVY9go/LpVBC5ExUj+ZzNkbF0qdVRERERKSDnI1hPKsp8BcRERER6QIU+IuIiIiIdAEK/EVERETawdNPP41pmjz33HMdXZVOTa9j21HgLyIiIiLSBSjwFxERERHpAhT4i4iIiIh0AQr8RURERNrZwoULueqqqxg+fDjTp0/nD3/4AwUFBXXKVFVV8cYbbzBv3jwmTpzI0KFDmThxInfccQcrV65ssM/s7GweeughLr/8coYPH87EiRP53ve+x/Llyxutw/79+7nvvvuYOnUqw4YNY8aMGTz66KOcOHHijM9v3rx5mKZJbm4uTz75JNOmTWPkyJFceeWVzJ8/H4/H4yv7pz/9CdM0eeaZZxrd12uvvYZpmjz66KMN1rXkdVy3bh2mafLYY4+xfft25s2bx+jRo5kyZQo/+clP2L9//xmfb2elwF9ERESkHX344Yf87Gc/w+PxMH36dDweDy+99BLXX389+fn5gDN50z333MOvf/1r9u7dy8iRI5k2bRrh4eGsWrWKO++8k8WLF/v2mZeXxy233MLbb79NUFAQ06dPZ8CAAaxatYrvf//7vPPOO3XqsGrVKq677jo++OAD4uLimDFjBoGBgbz66qtcd911HD58uE3O9cEHH+S5556jR48eXHDBBWRkZPDb3/6W++67z1fm6quvBuDjjz9udB8LFy4E4KqrrqqzvCWvY2179uxh3rx57N+/nwsvvJC4uDgWLVrE9ddfz9atW9vkfDsbBf4iIiIi7SgtLY177rmHhQsX8tRTT/HZZ59x6aWXcuDAAZ544gkAPvnkE5YtW8bo0aNZtmwZzz//PM899xyff/45t956K7ZtM3/+fN8+X3/9ddLT0/nBD37ABx98wFNPPcX8+fP55z//CcCzzz7rK5ubm8tPf/pTKisreeaZZ3j//fd56qmn+Pjjj/mf//kfMjMz6wTmZ2LlypU888wzzJ8/n7///e8sXLiQlJQUFi5cyCeffAKAaZoMHjyYffv2sWfPnjrbHz16lM2bN9O3b19GjBjR6textrVr1zJs2DA+++wznnrqKT744APuvfdeioqKePjhh+vchegq/Du6AiIiInJ++jxjFx8e2ka5u6qjq9JiQX7+XNlrODN7DGmzffbr148f/vCHNccICuLRRx9lxYoVvP/++/zyl7/E4/EwY8YM7rjjDoKDg31lXS4X3/rWt3jllVc4evSob3lOTg4AycnJdY41bdo0HnnkEaKjo/F4PLhcLt5++20KCgq47bbbmDlzpq+sYRjcfffdLF68mE2bNrFp0yZGjx59Rud6/fXX1zlGSkoKDz74IPfccw9vvPEGs2bNApzW/N27d7No0SIGDRrkK//RRx9h23aD1n5o2esYGhrqWx8QEMBf/vIXwsPDfcvuuecevvjiC3bu3MnXX3/NuHHjzuh8Oxu1+IuIiEi7+PzI7k4V9AOUu6v4/MjuNt3n7NmzcbnqhlwxMTGMGjWKsrIytm/fzhVXXMHf//73OoFoSUkJW7du5dNPPwWgsrLSt278+PEAPP744zz88MMsXryY4uJiAG644QZmzZrlO+a6desAmDhxYqP1mzp1KgAbNmw443OdM2dOg2UXXXQRAQEBfPXVV75W9rlz5+JyuRqk+yxatAjDMLjyyisb7Kclr2Nt48aNIzExsc4ywzCYMWMG0Dbn29moxV9ERETaxcyUwZ2yxX9myuA23WdKSkqjy5OSkgA4duwYAIWFhbzxxhusXLmStLQ0jh8/DjjBan1XXHEFW7du5ZVXXmHBggUsWLCAgIAAxo8fz9y5c7n66qvx93fCvMzMTADuvvvuZutZXe5M9O7du8GywMBA4uLiyMrKIj8/n9jYWBITE5k8eTKrV69m586dpKamkpaWxs6dOxkzZgw9e/ZssJ+Wvo7VevXq1aryXYECfxEREWkXM3sMadOUmc6qdupOY/z9/dmzZw+33norubm5dOvWjeHDh9O/f39SU1Pp3bs31113XYPtHnjgAW6++WY+++wzVq5cyddff82aNWtYs2YN77zzDi+//DKBgYG43W4ALrnkkjqpMPUNHnzmFzx+fn6NLrdtG6BOi/1VV13F6tWr+fjjj0lNTWXRokVATeff+lryOrakLi1dfz5S4C8iIiLSjppqWT5y5AjgtED/7ne/Izc3l3vuuYd77723Tiu/ZVlN7rtnz57ccccd3HHHHZSXl7NixQp+/etfs3HjRj7//HOuuOIKEhISSE9P5/bbb2/3nPbs7GxiY2PrLKuoqODEiROEhoYSHR3tWz5z5kx+85vf8Omnn/Kzn/2MRYsWERAQwOzZsxvdd0tex/p1aU35rkA5/iIiIiLtaPXq1Q2WZWdns2XLFsLDw0lNTfUNL/mDH/ygQWpP9fa1R6G57777mDRpUp30nKCgIGbOnOlrMa/uDFwd7K9YsaLR+j3wwANcd911fPHFF6d7ij6NzSGwbNkyqqqquOCCC+osDwsL49JLL+XgwYN8+umn7N+/n2nTphEVFdXovlvyOta2YcMGSktL6yyzbZslS5YANX0buhIF/iIiIiLtaOXKlbz55pu+5ydPnuT++++nqqqKG2+8kcDAQF/rc/3ge9myZTz99NMAlJeX+5Z369aNvLw8/vznP1NRUeFbXlRU5Avwhw8fDjgj7YSEhPDiiy/y+eef19n/u+++y3vvvceePXsYOXLkGZ/rCy+8UKeT7eHDh/n9738PwC233NKgfPXoPY8//jjQdJoPtOx1rK2wsJBHHnmEqiqnj4lt2zz55JNYlsWECRPaJLWps1Gqj4iIiEg7GjVqFL/61a9YsGAB3bt356uvvuLEiROMGzeOe++9F4DbbruN3/zmN/zkJz/htddeIy4ujv3797Nv3z6Sk5MxDIPCwkIqKioIDAzkrrvuYvHixXz00Uds2LCBYcOG4Xa72bx5MwUFBcyZM4dJkyYBTkrL73//e+677z5++MMfMmjQIPr06cPBgwexLAuXy8Wf/vQnunXrdsbnGh4ezvXXX8+kSZMICAjgyy+/pKysjB/84AeNjio0ZcoU4uPjycrKIjIykosvvviMXsfaunXrxsKFC32vz759+9i3bx/du3fnscceO+Nz7YzU4i8iIiLSjm655RYeeeQRioqKWLJkCWFhYdx77728+OKLBAUFAXDjjTfypz/9idTUVHbt2sWyZcvweDx873vf47///S8TJ06kqqrK15ofHR3N/PnzfS3dK1euZMOGDfTp04dHHnmEv/71r3XqMHv2bBYsWMDcuXPJy8tj6dKlFBUVcfnll7NgwYIm8+pb67HHHuOWW25h9+7drFu3jtTUVJ555hl+8pOfNFrez8+PK664AoBZs2Y1aLWvrSWvY20DBw7kxRdfJD4+nqVLl1JcXMy8efNYsGBBkyP+nO+M6l7WcmZM01wGTJswYQKvvvpqR1dHRESkXe3atQuAIUM0ao/AvHnzWL9+PfPnz+/wSbHWrVvHLbfcwuTJk3n55Zc7tC4t1ZrPU/VrDSy3LOvi1hynQ1J9TNMMAe4HbgL6AIXAauBPlmWtaWKbccCvgfFAOLADeNKyrNebKD8IeASYCsQB+4AXgGcty+p6czSLiIiISJd21gN/0zT9gY+A6UAO8CkQDVwFXGma5u2WZb1Sb5uZ3m1cwHKgBLgEmG+a5lDLsh6qV34ksAKIxLmg2OA93lPARODm9jo/ERERkc7q8ccfJzc3t1Xb/OUvf2mn2khb64gW/5/iBOErgLmWZRUBmKY5Heci4BnTNN+3LCvfuzwEeM277UzLspZ6l/cHlgEPmqb5rmVZG73LDeDfOEH/PMuyXvMujwcWA98xTfM9y7LeORsnKyIiItJZLF682DfOfUsp8O88OiLwr25t/3F10A9gWdZS0zQ/B+YAU3Ba+AHmAQnAy9VBv7f8ftM0fwHMB34E3OpdNRMYASyrDvq95XNM07wb5w7AjwAF/iIiIiK1VI9x31rnUv/GiRMnNjvpWVfWEaP6TAJGW5a1uZF1Ed7HqlrLZnkf/9tI+YWAG6jdFb3J8t7+A8eAqaZpRtRfLyIiIiJyvjrrgb9lWSX1g37TNA3TNL+H09KfgZPCU22o93E79ViWVQgcBeJN00w8VfnqzXDOO7WJ9SIiIiIi550OncDLNM1ewJPASKAvzkg911uWVV6rWLL3MZPGZQI9gUQgu4Xl8ZYXEREREekSzjjwN01zPjC2BUXfsyzrgXrLhgDX1HruAobhXABUC/M+ljax3+rl4fXKl7SwfJNM07wNuO1U5bxGtbCciIiIiMhZ1xYt/r0BswXlkhtZtg6IAoKBq4G/AG+YpmlYlvWGt4wbMCzLOtVMY9VpS27vY0vLN6cPMK0F5UREREREzmlnHPhbljX1DLbN9/6zEHjBNM0C4E2cibeqA/9iINo0zWDLssoa2U2I9/FkrfK1l5+qfHPSceYNaIlROBcxIiIiIiLnnA7N8W/EO0AZMMg0zTDLsopxOu9GA0k4gXh99XP6j+IE4UnA7haUb5JlWS8DL7ek4qZpLkN3B0RERETkHHVWR/UxTTPaNM3/NU3zH00U8QCV3n9XX5RUj87TYBQe0zQjge5AjmVZ2S0obwCDcdKBdrb+DEREREREOqezPZxnCXAncJdpmo0NpzkVZyz/NMuyCrzLPvE+XtNI+SsBP2BRrWXNlb8AiAdW1Z48TERERETkfHdWA3/LsiqoSZ35l2masdXrTNMcDLzofVp77ud3cCbdus00zTm1yvcD/oDTifeJWuWX44wKNNM0zTtrlY8HnvM+/WtbnI+IiIiISGfRETP3PghsxJnBd59pmh+aprkC2AwMAF6wLOvv1YW9k3TdCRjAQtM0l5qm+QGwDegBPGxZ1tZa5T3A7Tidd583TXOtaZrv4kzcNcK7/w/PwnmKiIhIF/b0009jmibPPffcqQu3sZkzZ2KaJhkZGWf92I356quvME2TefPmdXRVmvTLX/4S0zR5//33O7oq7aYjZu4tBC4EfgVkAZfhTOC1Fvi2ZVnfb2SbD3A6zn4GjPb+e6u3/OONlF8PTMS5WzDQe4yDwA+Au9v+rEREREREzm0dMqqPZVmlwO+8/7d0mzXArFaU3wl8s/W1ExERERE5/3REqo+IiIiIiJxlCvxFRERE2tnSpUu58cYbGTVqFOPHj+eOO+5gy5YtDcrt37+f++67j6lTpzJs2DBmzJjBo48+yokTJxrd75YtW7jrrruYOHEiY8eO5Yc//CGHDx9ush65ubn84Q9/4JJLLmH48OHMmTOH1157zZeD//TTTzfY5sMPP+Smm25izJgxjBo1im9+85ssWLAA27YblPV4PLz22mtcddVVjBw5khkzZvDss89SVVXVileraTNmzGDcuHGUlJTw29/+lgsuuIDRo0fzrW99i4ULF9Yp++Mf/xjTNHnvvfca3dcf//hHTNPk5ZdfrrPctm3+/e9/c/nllzN8+HAuv/xynnnmGcrK6s4j++677/q2X7VqFd/85jcZOXIk06ZN41e/+hXZ2dmcaxT4i4iIiLSjDz/8kB/84Afk5+czdepUoqOjWbVqFd/5znfYvbtmrtFVq1Zx3XXX8cEHHxAXF8eMGTMIDAzk1Vdf5brrrmsQ0C9ZsoTvfOc7LFu2jP79+zN58mQ2bNjADTfcQGFhYYN6HD9+nBtvvJGXXnoJ27aZPn06fn5+/O53v+NPf/pTo3V/6KGH+PnPf86uXbsYPnw4kyZN4sCBAzz88MPcd999DYL/++67j9/97nccOXKEKVOmkJKSwjPPPMPvftfi7O5T8ng83HXXXbz55puYpsnYsWPZtWsXP/vZz3jiiZqBHq+++moAPv744wb7sG2bRYsW4efnxxVXXFFn3T//+U8ee+wxIiMjufjiiykoKODpp5/m9ttvp6KiosG+1qxZw/e//31yc3OZNm0aQUFBvPnmm3z7299u9iKsI5xrM/eKiIiInFfS0tL45S9/yXe/+10AqqqquPfee1myZAmvvfYajz76KLm5ufz0pz+lsrKSZ555hpkzZwJOgPqPf/yDv/3tb9x333288cYbABQXF/P//X//H263m6effprLLrsMgMLCQr7//e+zadOmBvX44x//SHp6Otdeey2//e1vCQgIAOBf//pXo4H/ggULePvttxkyZAh///vfSU5OBpy7Bj/4wQ/48MMPGT9+PNdffz0An3zyCQsXLqRfv378+9//Jj4+HoB169bx/e83GLvltBUXF7Njxw5effVVxowZA8CuXbu49dZbef7557n00ksZMWIEF154ITExMaxZs4aCggKioqJ8+9i4cSNZWVlMnTrVV89qaWlpPProo3zrW98CnNf0zjvvZOPGjbz88ssNzmX58uXMnTuX3//+9wQGBuJ2u/n1r3/NggULePTRR/nnP//ZZud+phT4i4iISLvwfPUp9pfvQ2V5R1el5QKCMCZfjWvc5W22y5EjR/qCfgB/f39uvfVWlixZgmVZALz99tsUFBRw2223+YJ+AMMwuPvuu1m8eDGbNm1i06ZNjB49msWLF3P8+HHmzp3rC/oBIiMjeeyxx5gzZw615ebmsnDhQuLj4/nNb37jC/oB7rjjDlauXMmXX35ZZ5t//etfAPzhD3/wBf0AsbGxPPbYY8ydO5cXX3zRF/hXX5Q89NBDdYLpiRMnMm/ePF544YXTewEbcc899/iCfoAhQ4Zwzz338Pjjj/Pmm28yYsQIAgICmDNnDvPnz+ezzz7zBfKALy3oqquuarDvKVOm1CkbGRnJo48+yty5c3n99dcbBP5xcXE8+uijBAYGAuDn58evfvUrli1bxrJly8jKyiIpKanNzv1MKNVHRERE2oW98dPOFfQDVJY79W5Do0ePbrCsOpCuTslZt24d4ATJjZk6dSoAGzZsqPN44YUXNijbv39/+vTpU2fZunXr8Hg8XHjhhQQFBTXYZtasugMnHjt2jAMHDhAdHc3gwYMblB84cCCJiYmkp6eTk5ODx+Phq6++IiAggEmTJjUof8kllzR6XqerfnpO7WNUvzbQeLpPVVUVn376KaGhoXUusprb98CBA0lJSSEzM5MjR47UWTd9+nRCQkLqLAsMDPT9zdavX9/S02p3avEXERGRdmGMvbxztviPbbvWfoCIiIgGy/z8/AAnXx0gMzMTgLvvbn66oepyx44dAyAxMbHRcj169CA9Pb3BdrVb7mtLSUmp8zwrKwuA/Px8TNM8ZZ38/PyorKwkOTkZf/+G4WX9/Z+JwMDARlvQq8+t+rUB525Lnz59WLt2Lbm5ucTGxvLll1+Sm5vLlVdeSWhoaIvrmpSUxJEjRzh27FidMr17926yfP36dDQF/iIiItIuXOMuhzZMmemsXK5TJ1i43W7AabVuLBitVt36bhhGs/urvrCoVj2qTvWFRn31O+lW1ycuLo4LLrig2WOFhYU1ux5o9GLgdNU/t2rV51D/9b7yyit5+umn+eyzz7jhhhtYtGgRUHM3oL7g4OBmj1//XJr6+1bXp6n6dgQF/iIiIiIdLCEhgfT0dG6//XbGjRt3yvLVLf1Hjx5tdH1OTk6j5atb/uurbuGvVp2jHxYWxl/+8pdT1se2bYKCgjh+/DgVFRW+fPdqbdnqXVpaSmFhIZGRkXWWV78W9e9qXH311Tz99NN88sknXHvttSxevJj4+PgmL2iaqmt1ik/9uw1NDdtZXZ9zJb8flOMvIiIi0uGqg/0VK1Y0uv6BBx7guuuu44svvgBg8uTJACxevLhB2aysLF+n4WoTJkzAMAxWr17d6JCUS5YsqfO8R48eJCcnk5GRwf79+xuUP3HiBJdffjm33XYbxcXFGIbBpEmTqKysZPny5Q3KN3Vep6uxY1S/NlOmTKmzvGfPnowZM4avvvqKzz//nMLCQubMmdNkS/zq1asbLNu6dStZWVn07du3wShAK1eubHDHpLy8nNWrV+Pn5+f7W50LFPiLiIiIdLDrr7+ekJAQXnzxRT7//PM66959913ee+899uzZw8iRIwFnIquePXuyZMkSFixY4CtbUlLCgw8+6EvVqZacnMxll11GTk4Ojz76aJ0Jtd5++22WLl0K1E0huvXWW/F4PNx333117iyUlpbywAMPkJ6eTlhYmC/V55ZbbgHg8ccfrzN+/bZt29p8SMu//vWvDY7x7LPPEhAQwI033tig/FVXXUVlZaVv2NKm0nzAeT1qX1gcP36chx56CHBek/oOHDjA3/72N1/wX1lZyW9+8xtOnDjB1VdfTXR09GmdY3tQqo+IiIhIB0tKSuL3v/899913Hz/84Q8ZNGgQffr04eDBg1iWhcvl4k9/+hPdunUDICgoiD/96U/ceeedPPzww7zxxhukpKSwceNGKioq6Nu3LwcOHKhzjIceeoitW7fy5ptvsnr1aoYNG8bhw4fZsWMHvXr14tChQ3Xy12+99VY2bdrEp59+ypw5cxg+fDjh4eFs3ryZ3Nxc+vTpwyOPPOIrP3XqVG6//XZefPFF5s6dy+TJk6moqGDdunUMGzaMzZs3t9nrZds2V155pe8uw9q1a/F4PPzmN7+hb9++DcrPnj2bxx57jKysLPr378/QoUOb3PewYcO46667GDduHFFRUaxbt46ioiJmz57NDTfc0KB8YmIi//jHP/jiiy/o378/27Zt48iRIwwePJj777+/zc65LajFX0REROQcMHv2bBYsWMDcuXPJy8tj6dKlFBUVcfnll7NgwQJmz55dp/yYMWN46623mDNnDpmZmaxcuZJBgwbx6quvNppXnpiYyIIFC/j2t79NeXk5X3zxBWVlZTzyyCPcfPPNQN0RiFwuF3/72994/PHHGTJkCDt27GDt2rV069aNu+++m7feest3IVLtF7/4BX/+858ZOHAga9euZc+ePdx888388Y9/bNPX6p///Cdz5sxh06ZNbNmyhUmTJvHyyy/75hSoLzo6mosvvhhofOz+2u6//35+/OMfc+TIEZYvX05SUhIPP/wwTzzxRKOdqi+88EKefvpp/Pz8WLp0KX5+ftx9993Mnz+fmJiYMz7XtmTUz0mS02Oa5jJg2oQJE3j11Vc7ujoiIiLtateuXYAzcZKc+8rLy0lLS6N79+51ZrCt9uijj/Lqq6/ywgsvcNFFF3VADVtmxowZdQLyjvTuu+/ywAMP8M1vfpPHHnvsjPbVms/TvHnzqucGWG5Z1sWtOY5a/EVERETOc5WVlXzzm99k5syZDUah2bFjB++99x7R0dGMHz++g2ooZ4Ny/EVERETOc+Hh4dxwww289tprzJw5k7FjxxIZGUl2djZbtmzB39+fP/7xjw1moG0vP//5z1tVPjY2lgcffLCdatN1KPAXERER6QIefvhhRo8ezVtvvcXevXvJz88nLi6OuXPncscdd/gmBzsbPvzww1aVT0lJUeDfBhT4i4iIiHQBhmEwd+5c5s6d29FVaTDPQEvVn2+gI1177bVce+21HV2NVlGOv4iIiIhIF6DAX0RERESkC1DgLyIiIiLSBSjwFxERERHpAhT4i4iIiIh0AQr8RURERES6AAX+IiIiIiJdgAJ/EREREZEuQIG/iIiIiEgXoMBfREREpBOzbbujqyCdhAJ/ERERkXbw9NNPY5omzz33XLvsPz09nTvuuIMjR460y/7l/OPf0RUQERERkda76667SE9P7+hqSCeiFn8RERGRTsjj8XR0FaSTUeAvIiIiItIFKNVHREREpJ0tXLiQ559/ngMHDtCtWzcuv/xy7r77bqKiouqU27JlC88//zwbN26kuLiY7t27M2vWLO68807Cw8MBWLduHbfccotvm0suuQQAy7J8y1atWsV//vMftmzZQn5+PoGBgfTr149rrrmGm266CZdLbb9dkQJ/ERERkXb04YcfkpaWxsCBA5k+fTpbtmzhpZdeYtmyZbzxxhtER0cD8O677/Lwww9j2zbDhg0jOTmZrVu38o9//IMlS5bw6quvEh0dTbdu3bjyyiv54osvKCkp4dJLLyUkJMR3vBdeeIG//OUvBAQEMG7cOCIjI8nIyGDbtm1s27aNw4cP88ADD3TQqyEd6ZwI/E3T7A9sAY5bltWniTLjgF8D44FwYAfwpGVZrzdRfhDwCDAViAP2AS8Az1qWpaQ4EREROSvS0tK45557+NGPfgRAeXk5P/3pT1m8eDFPPPEEv/3tb9m/fz+/+tWvCA0N5Z///Cdjx44FoLKykt/97ne8+eab/O53v+Ovf/0r/fv35y9/+QszZ87k0KFDPPDAA/To0QOA7OxsnnzySWJiYnjrrbfo1auXrx6fffYZ9957L2+++SY///nPCQgIOPsvhnSoDg/8TdP0A/4NhAHHmygzE/gIp0/CcqAEuASYb5rmUMuyHqpXfiSwAogEVgMbgOnAU8BE4OZ2ORkRERHx+WpHFl9uPkplVedpbwvwdzF5VHfGDU1qs33269ePH/7wh77nQUFBPProo6xYsYL333+fX/7yl7zyyitUVlZy//33+4J+gICAAB5++GGWLVvGokWLuP/++0lMTGzyWCdOnGDmzJmMHTu2TtAPcNlllxETE0NeXh55eXkkJCS02TlK53AuJHjdD1zQ1ErTNEOA17xPZ1qWdYllWVcCw4EM4EHTNMfWKm/gXEhEAvMsy5pqWda1wCBgK/Ad0zSva59TERERkWobd2R3qqAfoLLKw8Yd2W26z9mzZzfIqY+JiWHUqFGUlZWxfft21q1bB8DEiRMbbB8YGMiECRPweDx89dVXzR4rNTWV//3f/+Xmm2vaOCsrK9m3bx/vvPMObrfbt0y6ng5t8fe2zP8Gp3X+oiaKzQMSgJcty1pavdCyrP2maf4CmA/8CLjVu2omMAJYZlnWa7XK55imeTfOHYAfAe+07dmIiIhIbWOHJnbKFv+xQ5tuUT8dKSkpjS5PSnLuKhw7doysrCwArrrqqmb3lZmZecrjVVVV8dFHH/Hxxx+zd+9eMjMzfQG/YRiAZvvtqjos8DdNMxB4FcgF7sXJ8W/MLO/jfxtZtxBwA7NbUt6yrDWmaR4DppqmGWFZVlHray4iIiItMW5oUpumzHRWwcHBza739/f3BeZz5871BeeN6d27d7P7KikpYd68eWzfvp3Q0FCGDRvGxRdfzKBBg5gwYQJ33nknhw8fbv1JyHmhI1v8f4eTrnMlTvDflKHex+31V1iWVWia5lGgp2maiZZlZTdXvnoznDsIqcC606m4iIiISEsdO3as0eVHjhwBnJb/hIQEjhw5wn333ee7E3A6XnzxRbZv385FF13E//7v//qGAK1WVKQ2z66sQ3L8TdOcAvwceMmyrIWnKJ7sfWzq3lb18ur7cq0tLyIiItJuVq9e3WBZdnY2W7ZsITw8nNTUVMaNGwfA8uXLG93HHXfcwfXXX8/WrVt9yxq7M7Bli5NAccsttzQI+rdv305+fj6gVJ+u6oxb/E3TnA+MPWVBeM+yrAdM0wwDXgGOAP/Tgu3CvI+lTayvXl797q4uX9LC8k0yTfM24LZTlfMa1cJyIiIi0oWsXLmSN998k+uvvx6AkydPcv/991NVVcWNN95IYGAg8+bN48MPP+SJJ56gf//+vgsB27Z59tlnWbVqFd26dWPw4MG+/QYFBfn2Vy052Wn/XLp0KRdeeKFveVpaGvfdd5/veXl5efudsJyz2iLVpzdgtqBcdUv8E0A/4DLLsgpbsJ0bMCzLOtWlafXdC7f3saXlm9MHmNaCciIiIiKNGjVqFL/61a9YsGAB3bt356uvvuLEiROMGzeOe++9F4Dhw4fzi1/8gj/84Q/cfPPNpKamkpKSwp49e0hPTyc4OJgnn3ySwMBA33579+7Nnj17+NGPfsTgwYN5/PHHuemmm3j33XeZP38+69evp1+/fuTk5LB582YCAgLo0aMHGRkZ5OTkMGDAgI56SaSDnHHgb1nW1JaWNU1zNvB94DnLsha3cLNiINo0zWDLssoaWV89Vd3JWuVrLz9V+eak48wb0BKjgKhTFRIREZGu5ZZbbuEb3/gGL730EkuWLCE5OZmbbrqJO++809dqD3DbbbeRmprKSy+9xKZNm9i7dy9JSUl84xvf4K677qJv37519nv//feTm5vrS+HJyMhg8ODBvPbaazz99NPs3LmT9PR030y/3//+91m1ahW///3vWbp0KZMnTz7bL4V0sLPduffP3sfupmm+Vmt5qPexW/Vyy7KqB6A9CkQDSTiBeH31c/qP4gThScDuFpRvkmVZLwMvn6ocgGmay9DdAREREfG69957fS36ADfccMMpt5kwYQITJkxo0f579erF66+/3mD5qFGj+Ne//tXoNgMGDOC2225r0f7l/HO2A//qvPprmlgfBnzH++/qwH87zgg8qdQL/E3TjAS6AzneEX2qy8/xll9Wr7wBDMZJB9p5eqcgIiIiItL5nNXA37KsPo0tN02zB3AYONhImU+Ab+NcLCyqt+5KwK/e8k9wZgO+BniuXvkLgHhgucbwFxEREZGupEOG82yld4BjwG2mac6pXmiaZj/gDzideJ+oVX45sAOYaZrmnbXKx1NzIfDX9q60iIiIiMi55JwP/L0j/9wJGMBC0zSXmqb5AbAN6AE8bFnW1lrlPcDtOJ13nzdNc61pmu/iTNw1AnjBsqwPz/Z5iIiIiIh0pHM+8AewLOsDnI6znwGjvf/eCnzbsqzHGym/HpiIc7dgIHAZcBD4AXD3Waq2iIiIiMg542x37m2UZVkZOC36zZVZA8xqxT53At88w6qJiIiIiJwXOkWLv4iIiIiInBkF/iIiIiIiHcS27bN2LAX+IiIi0mqG4WToejyeDq6JSOdWHfhXf6bakwJ/ERERabWgoCAAiouLO7gmIp1b9Weo+jPVnhT4i4iISKtFREQAkJWVRVFRER6P56ymLIh0ZrZt4/F4KCoqIisrC6j5TLWnc2JUHxEREelcYmNjKS4upqSkhIyMjI6ujkinFhoaSmxsbLsfR4G/iIiItJrL5aJnz57k5uZSVFREeXm5WvxFWsEwDIKCgoiIiCA2NhaXq/0TcRT4i4iIyGlxuVx069aNbt26dXRVRKQFlOMvIiIiItIFKPAXEREREekCFPiLiIiIiHQBCvxFRERERLoABf4iIiIiIl2AAn8RERERkS5Agb+IiIiISBegwF9EREREpAtQ4C8iIiIi0gUo8BcRERER6QIU+IuIiIiIdAEK/EVEREREugAF/iIiIiIiXYACfxERERGRLkCBv4iIiIhIF6DAX0RERESkC1DgLyIiIiLSBSjwFxERERHpAhT4i4iIiIh0AQr8RURERES6AAX+IiIiIiJdgAJ/EREREZEuQIG/iIiIiEgXoMBfRERERKQLUOAvIiIiItIF+HfEQU3T/P+A3zZT5E7Lsv6v3jaXAg8CI4EAYCPwR8uyPmniGOOAXwPjgXBgB/CkZVmvn/kZiIiIiIh0Lh0S+AOjvY/vASWNrN9X+4lpmrcBLwHlwBLAD5gOfGya5l2WZT1fr/xM4COcOxrLvce4BJhvmuZQy7IeartTERERERE593Vk4F8GfNuyrKrmCpqm2R34B1AATLUsa7t3+XhgMfCkaZofWZZ1xLs8BHjNu/lMy7KWepf3B5YBD5qm+a5lWRvb/rRERERERM5NZz3H3zTNGKAPsOVUQb/XD4Eg4H+rg34Ay7I2AH8EgoHv1yo/D0gA5lcH/d7y+4FfeJ/+6EzOQURERESks+mIzr2jvI8tbXGf5X38byPrqpfNbmH5hYC7XnkRERERkfNeRwT+1fn9xaZpvmKa5kHTNEtN09ximua9pmn66mSapgGkAh5gVyP72uNdN9RbFmCo93F7/cKWZRUCR4F40zQT2+h8RERERETOeR0Z+N8HXIrT8r8ZGAI8BbxVK/iPwUnzOWFZVkX9HXlThY4DoUCEd3Gy9zGzieNXL1fgLyIiIiJdxhl37jVNcz4wtgVF37Ms6wFqAv8ngfssy6r07mck8AFwHXAP8DQQ5i3b2Mg/1Uq9j+FAYa1tShsvXqd8s7yjCd12qnJeo1pYTkRERETkrGuLUX16A2YLylW3xE8E+tbuqAtgWdYW0zR/hJObXx34u72r7Rbsv/ougRswLMs61TYtudvRB5jWgnIiIiIiIue0Mw78Lcua2sryxTSSf++1CCdwN03TDAOKvctDmtll9bqT3sdiINo0zWDLsspaUL456TjzALTEKCCqhWVFRERERM6qjhrHv1GWZVWappkLxOPk7R/HCeS7mabpX3/4T9M0/YFuQJllWfnexUeBaCAJJ3Cv71R9AGrX52Xg5ZbU3TTNZejugIiIiIico85q517TNHubpvkv0zRfaGJ9OE7QXwrketN1duDM1DuosU1wzmFbrWXVdxNSG9l/JNAdyLEsK/u0T0REREREpJM526P6FAK3AN/zzqRb3zzv42LLsqrz+z/xPl7TSPnqZYtqLWuu/JU4FxGLGlknIiIiInLeOquBv2VZecAC79MXTdOMrl5nmuZY4FGccfkfr7XZS0AZ8Atvmery44D7ce4OPFer/DvAMeA20zTn1CrfD/gDTkfhJ9rurEREREREzn0dkeP/Y2AMcBGwzzTNNThDa16EcyHyP5Zlra0ubFlWummaPwOeBb40TXOJd9UMnPrfYlnWsVrlC03TvBPnAmChaZrLgSLgEpx+Aw9ZlrW1vU9SRERERORcctYn8LIsKweYAPweyAUuxxkR5zNghmVZTzWyzXM4aTprganAeGAVMNOyrNcaKf8BTkfbz3DmDZgGbAW+bVnW4/XLi4iIiIic7zpkVB/LsgqBB73/t3SbhcDCVpRfA8xqfe1ERERERM4/59RwniIiIiLSMuUVbrbvzWHLnhxsD4xJTWT4oG74+531hA7pJBT4i4iIyHnB47EpLa+ipLSS4tJKPLZN7+RI/M6zQLjwZDmbdh1j297jVFS6fcuXrj/Ehu2ZTBiezLCBugCQhhT4i4iISKe1bW8Om3cd42RpJaVlVQ3Wd48P45pLBxIc2HYhT1FxBeu2ZhIWEsDoIQkEB529cOpQZiHvLd6L22M3uv5kSSVL1h1iw/YsJgxPYtiAbufdhY+cPgX+IiIi0ikdyizk8zUHmy1zNKeYBZ9aXHfpIEJDAs74mGUVVbz92R7yCssA2LT7GFNGdWf4oHhcLuOM998c27ZZuv5wnaA/JjKYsamJVLk9rN+WSYn34qeouIIv1h7iq+3ZXD1jAN1iQtq1btI5KPAXERGRTqekrJKPVx5osDwkyJ/QEH+CA/05cuwkADm5pTz/9lYC/F34+7kICwng0sm9SeoW1qpjejw2Hy1P8wX9AGXlVXyx7hCbrRwuHt+T3t0jz+zEmnH02ElO5JcC4O/vYu5F/ejbIwrDcC44hg/qxlYrhw3bs3wXAAUny3nz491cNWMAPZMi2q1u0jko8BcREZFOxbZtPludTnFpJQAhwf5cP2swURGB+Llq0lp27DvOZ2vSsW0naC+vcFOOm+LSSj5Yuo9brhraqjSdFRszOHi00Pc8LCTAV4cT+aW88/ke+veMZuqYFOKi276FfcueHN+/h/SNpV/P6DrrA/z9GDs0iRGD4tmyJ4e1W45SUemhvNLNu5/vYfaFfRnUJ7bN6yWdh5K+REREpFPZvPsYaRkFvuezpvQlNiq4TtAPMHRAN+ZO609EWGCDfZwsqWTx2oPYduO58vVt25vD1zuzfc8njkjm9muHM2V0CgH+NcfdfzifV97fwZsf72bn/hNUVrkb212rZZ8oZm96nu/5SDOhybIBAX6MG5rEt2cNJsyb3uT22CxcnsamXcea3E7Of2rxFxERkU4jJ7eEFV9l+J6PSU2kb4+oJssP7B3DgF7RVLk9VLltDh4pYJE3RWhPeh79euSS2j+u2WNmZBfxxdpDvucDekVzwajuGIbBxBHJDB0Qx6qvj7Bz/wlfmSPHTnLk2EmWrvNjcL9Yhg3sRkJsqC8tp6XcHg/rt2WxbksmHu9FSlK3MBLiQk+5bUJsKDfMHsy7i/eQV1gOOCP/nCypYOqYlFbXRTo/Bf4iIiLSIUrLKgkM8GvxqDOVlW4+WpHm69yaEBvK1DEpp9zOMAwC/P0I8IfB/eI4lFXE9r3HAViy7hApieFEhQc1um3ByXI+XLofj/eY8TEhzJrat07QHB4ayKypfRk1OIF1WzNJy8in+kZCeaWbLVYOWywnTSco0I/gQH+Cg/wICvQjJDiAlIRw+qZEERVRtw4n8kv5ZNUBsk+U+Jb5+7uYNq5Hi14vgKiIIG6YPZj/LtlHZk4xgNMHoLSSy6b0UfDfxSjwFxERkbPiZEkFh7OKnP8zCyk4WUF4aAA3zhnSaDpOfcs2HCa3wOlYG+Dv4oqL+p3WWPUXj+9JRlYR+UXlVFS6+WTlAb51udlgVJ6TJRW8v2QfpeVOR9nQYH+unjGAwAC/Rveb1C2Mq2cMoLi0kh37jrN973Hyi8rrlCmvcFNe4abgZM0y60AuALFRwfRJiaJvSiTH80pZtekIbndNKlL3+DAun9qXmMjgVp1vSHAA37xsEB8tT/OlSO3Yf4LEbmGMGtx0ypCcfxT4i4iISLspr3Czflsm+w/n+4L22k6WVLJ+WyaXTOrd5D48Hpute3LY5m2lB5gxsRcxUY0HwLZtU2V7cGE0yPsHCAzwY/aFfXnj493YtpOW89WOLCYMTwagtKyKDdsz2bT7mC/wdrkMrpzen8gm7gzUFhYSwIThyYwflkRGdhHb9h7nQEYB5RXN5/vnFpSRW1BWpy8BgJ/L4ILR3RmbmnTaQ4YG+Ptx1fQBfL4mnR3elKSVGzPo2yOqybsdbeng0QKKiivpnhBOTGSQ7jR0EAX+IiIi0i5yC0r5YOn+RgP+2rbuycFj20wa0b1Oy79t2+w9lM+Xm49wIr9mH2bfWF9e/uIju1l+dA9l7ioqPW6qbA+VHifAdmFwZe8RzOk1tMExk+PDmTSyO19uPgrAmk1HSY4P40j2Sb7akV1nRlyAmZN7k5JQMxzm0eJ8wgOCiAxsevQewzDomRRJzyRniE9nZKEqyirclJU7j/mFZaQfKeRQVmGd1v1q8bFOalF8zKlz+k/F5TK4ZHJvMo8Xk1tQRmWVh8/XpHPdzEHtFoi7PR6WrT/sS3UCCA8NoGdSJL2SI+iVHNmiuz3SNhT4i4iISJvbdyiPT1YdoKLS41vm5zJIjg+jZ3IkvZIiWP5VBlnHi7Ft2LbnODv3nWDU4ATGD08i81gxa7YcISe3tM5+YyKDuXRSLwzDYPOJDBakfd1kHTzYvH9wC2Azp9ewBusnDk8m/UgBmTnFeGybBZ/uaVAmITaUC8f2qDM+/wfpW/no8HZchsEl3U2u6DWcEP9TTw7mchmEBAcQElyrbEoUo4ckUlnlISO7iAMZBaQfKaC4tJIxqYlMGpF8yj4QJyvL8dg2kYGnTgHy93Nx+ZQ+vrsdhzKd/g7DB8WfctvWKimr5MNl+zmSfbLO8pMllexKO8GuNOfOQ0JsKDMv6E1iXOvmVZDWU+AvIiIibcbjsfly81HWbcv0LfP3czF9Yk8G940lwL8mP/7Ki/vz8co0MryBodtjs3FnNl/vyqb+KJsB/i7GpCYydmgiQYH+5JYX88qetU3Ww4WBB2cn7x/cSkFFGSlhUQS6/IkJCmVQVAIul8HsqX159cOdVFZ56mwfGxXMBaO6M7B3TJ3W8K+PH+ajw9udc7VtPj+ym3XH0rm27ygmJvTFdZot5wH+LvqmRNE3xRmhyLbtU7bCZ5UU8knGTtYdO4Btw6TEvsztNYxuweHNbpccH86YIYls9KYULf8qgz4pUW3a8n4st4T3l+yjqLjCtyw+NoSCoooGd1OO5ZbwxqLdzJjUi+ED2/4CRGoo8BcREZE2UVZexaKVaaQfqZnkKjI8kKumDyAhtmGqSkRYIN+63ORQZiGrvj7iG72mdtDv7+di1JAExg9N9LWUu20P/7d7DSVVTlAZExTKz4ZfQqh/EAEuF/4uP6o8bp7buYJd+VkALMus25o/M2UI3+w3mujIYGZM7MWnq9N9dZo8sjup/eMa5NNnlxTyyp4vG5xHYWUZL+9Zy4rMfdw4YBy9ws98kqzmgv6M4jw+PrSDjccPUfv66MvsNNYfS2dqUn+u6DWMqGbSkC4YncL+jHzyC50Ozou/PMg1lwxok5SfPem5fLI6napaF1NTx6QwflgStu3MSXA4q4hDmYUcyT6J22Pj9th8vuYgR48VM2NirzpzI0jbUeAvIiIiZ6y4tJI3P95dZxSb3t0jmXNhP0KCmw43DMOgd/coeiVHsv9wPqs3HeVEfil+LoORZjzjhyf7JqGq9uHBbewvdHLGXRh8z5xCfEhEnTKBfv78v9SLeGr7MvYWNpy06vMjuxgRl8KgqASGDuhGVEQQZeVV9EmJanSkoHJ3Ff/YtZIytzPCT7fgMGb3HMaHB7eSX+GkI6UVHefxTZ8wKaEvl/VIpXtY0/MLnK4Vmft4fd96mpp2zG17WJ65lzXZaUzvPojLe6QSHtCw826Av4vLLujDW59YABw4UsCutFPPadCcxu72BAa4mHNhP98sw4bh3HFIjg9nwvBk8grK+GDZfk7kO6/hjn3HOZZbzJUXDyA6ov07HXc1CvxFRETkjC1df6hO0D9heBIXjEpp8Sg0hmEwoFcM/XpEcyy3hMjwQEKDG+bN78rL4pPDO3zPr+w9ggFRjaeHBPr586NhF7P2WDqZJQVUeKpILzpBRnE+AK/sWcuvxswhyM+fHokRje4DnLSb1/au52iJMxSmv+HiriEX0is8lnHxvVh0aAeLj+zGbTvJRV8eO8CXxw4wPLY7l/VIZWBkfJu0pFv52fxn34Y6Qf+wmGRm9xyGx/bw34NbfRdElR43n2XsYlXWfu5OvYhBUQ2H7eyRGMGowQls3u1cGC1df4je3SMbXGi1RGN3e6Ijg7h6+gDiopu+8xATFcxNcwazeO1BdqU5w5rm5JYyf+FOZk/t67tgkLahwF9ERETOSNrhfPak5/mez7mwL4P7Nd5y7PZ4OFB0gt35WaSfPEFyaBTf6DMSl+G0srtcBkndGu/kWVhRyovWGl/gOyQ6iVk9U5utW6CfPxclD/A9zysv4ZGNH1HqruR42UnePbCZGweMa3YfyzP3sj4n3ff8pgHjfek8wX4BXNt3FFMS+/FW2ka259W0dm/LPcq23KP0iYjjspQhDI1JJrgFnYDrs22b9TnpvLF/o6/fQs+wGOYNnEjviJq0ovuiLmVHXibvH9zCoZPO36OkqoKnti/lzsFTGBnXcOKvqWNSSMvIp/BkBeUVTsrPVdP7t+pCJSe3hA+W7qfgZM2FX5+USOZc1I/gwFOHmgEBfsya2pfu8eEs23AYt8emvMLNf5fs45oZAxT8tyEF/iIiInLaKirdfLHukO95av+4BkF/dmkhW08cYXd+NnsLj1HuTZcBJziODw7nouSBzR7HY9u8ZH1JYaUzrGdEQDDfNSe3ujNtTFAo1/cfy8vejsHLMvcwpltPzOjERssfKDzOW7VGDpqS2J8pSf0blEsMjeTeYdPZV3CMzzJ2sSX3iG9detEJnt+9CoBQ/wBig8KICQolNiiMuOAwhkQn0TMsptFgO6M4j//s+4p9hTXDYUYGBHPP0GnEBNXtN2EYBsNiuzM0JplNJw7zn31fUVhZRqXHzT92rmTeoIlckNivzjaBAX5cdkEf3v7M6QOx/3A+yzccZtr4ni0K/nelneDzNQepctfk87f2bk913UcOTiAhLpSFy9N8nYIXrTzAd64Y0uScDdI6CvxFRETktK3ZdMQXpIUE+TNtXE2rsm3bfJKxk/fTtzSZkw7w+ZHdDI5OIiGk8XSbnNKTfHR4Ozu9HXUBbjcnN9t5tTmTEvry9fHDbPUG56/sWcuvxs4h2K9ua/zR4gL+uWsVbtsJanuFx5zy7sCAqAQGRCWQVVLA50d2szb7AFV2TVBcUlVJSVW+L92oWlxQGKO69WBMXE/6RXaj3F3FBwe3sezoHl8rP0B0YAh3p17UIOivzTAMxnTrRc+wWP62fQnHy07iweaVPWs5WVnOZT2G1CnfKzmyTsrP17uOERTkz+SR3Rvdv207nXFXbczg6101/ScC/F3MmtqXgb1jmn2NmpMcH853rhjC6x/torDYGQHog6X7uPGKIU3OmCwtZ9j1x8uS02Ka5jJg2oQJE3j11Vc7ujoiIiLtLut4Mf9ZtMs3Cs+sqX19nUMr3FW8uncd63MONtguLiiMwdGJfHX8kK/134XB5MR+zOk1lG7B4di2TVrRcRZn7GbTiQzsWsHv5T1SubbvqDOqe0FFKb/Z+JFvZKBpyQO5acB4AHLLi/nw4Da+zD7gO26ofyAPjZ51yqEyGzvO0qN7+Pr4YU6UnaxzEdCUiACndbuosmbSMmfOgMHM7TWsVelCBRWlPLV9aZ0Ljct6DOHaPqPqtOh7PDYfrUhj78GalK3hA7tRUlZFTm4JlVUeZ/Qdt/NYX0xkEFedIp+/NbJPFPPGx7t9k5oN6BXNlRe3LgXpfDVv3jzWr18PsNyyrItbs61a/EVERKTV3B5n1tfqoL93ciRD+jn55vnlJfx95wrST+b6yveNiOOCxP4MiU6kW3A4hmHQIyyGN9M2As5kW6uz9/PlsTQmJvQlq6SAA0UnGhx3WEwyV/ceccb1jwoM4Yb+Y3nRcobnXJ65FzMqkQNFJ1h61KoToLsMg9vNya0O+quPc02fkVzTZyS2bVNUWU5ueTG55SXklhdzsCiXbblHKHVX+rapHfADmFGJ3NB/3GmNEhQVGMLPRlzKszuW+9KFPsvYRUlVBTcPmOALpF0ug9kX9qWi0s3Bo04H3W17j7foGP17RjNrah+CWpDP31KJcWHMnNyHT1YdAGDfoXw2bM9iwvDkNjtGV6TAX0RERFrt653Z5OQ5QzD6+7m4ZHJvDMMgvegEf9+5wjfEJcBFSQO4vv9Y/F11UzVmpJj0Co/hg4PbsAqcyaQ8ts2X2WkNjpcancSlPQaTGp3cZq2+E+L7sPH4YbacyADw5eHXOW5MMtf2GUXP8NNPX6lmGAaRgcFEBgbTJ6KmH0SVx82egmNsOn6YzScyfP0YogND+Fa/MYzt1uuMzjnUP5AfD5vO/+1e7et7sCprP33C47iwVsdnfz8XV13cn3cW7+XosZNN7c57LhAaHMDoIQmMH5bULi3xqf3jyD5RzCZvOtGqr48QHxvqm+RMWk+Bv0gnZNs2b63ZQUZaCUaQzcB+0Uwf2pfwkLabdVFEpCn5hWV8ublm9JrJo7oTHRHEhpyDvLJnLZUeZ2ZWFwbf7j+Wi5MHNhkYDohK4KcjLsHKz+aDg1vrdGL1N1xMTOjDJSmDSQmLbvPzMAyD7wwYz76CYxRXVdRZ1yc8lmv7jm6y029b8nf5kRqTTGpMMjcOGEda4QnyyosZHpfSoN/B6Qr08+eu1At5Zc9a1h1LB+DtA5sYFtu9Tn+BgAA/vnHJANZsPkp5hZvuCeF0jw8nJNgfPz8DP5cLP5fRqo67Z+KicT3IyS3xze68aEUa37liCNGR6ux7OhT4i3QyVW4PL36xiZOZNgYuKIW9O4rYs3MLEd1cTB7Sg6G9E87al7KIdC0nSyr4dE26bxSX+NgQxqYmsj33KP+3e7WvXKh/AN8ffCFDYpJatF8zOpGfR13K7vxs1mSnkRgSwUXJA4g8zQ68LRUVGMJNA8bzf7tXYwOJIRFc3XskY7q1bFSbtuYyXN55CRqfm+BM+Bkubh4wgQNFJzhWWkSZu5L5+9ZzT+q0OucaFOjP9Am92vTYh07mUlBRysDIhFb1UfBzuZg7rT+vLdzJyZJKyivcvPTf7QQG+Pn+Dwr0IzjQj9T+cQzqc+azJp/PFPiLdCJllZU8//HXVOU1HNnAsA1O5th8nnOYzwMO0rNHOBMGptAzMVIXASJyxgpPlrNhexbb9x73de40DJg5uQ+l7kpe3bvOVzYxJJJ7Ui8iMTSyVccwDIMhMUktvlhoK+PiexMXHEZJVQWDo5LwczWcufd8Eejnzy0DJ/KXrYsBZzjV9TnpTEzo2y7Hs22bRYd38MHBrYBzF2dwdBKj4nowMi6lRRd2oSEBXDV9AG9+vBu3x8a2obzCTXmFu065A0cKCA0JaHYytq5Ogb9IOzhZWYbbtgnxCyDA5dcmrUZ5JSW8+PEWjJM1LSWu2Cpi4gLJPFxKYFmtqc0rXRw+UMLhA3txBUCvlHBG9U+iV3IkxSWVnMgv5Xh+KcfySjiWV4xhGIwamMBIU3cKRM53tm3j8Thj1Tgdc+3q/3wpHLW/s/IKy9iwPYud+07gqTcS4IRhySR1C+Nl60tfTn9EQDD3jbiUiMDOlYrRN6JbR1fhrBkYlcDFyYNYlumM3f/m/o0MiU5q87srlR43/96zrs7kZ1W2h+15R9med5T5+6BfZDwT4/twYXJ/3yRujUnqFsbsC/vyxdpDlJZXNVrGtuHjlQeYd2UqwUEKcRujV0Wkjc1fv4kje5zZC90uD7a/m9AoP3olRTCqV3f6RMc2OuGMbdsUV1Zi2zahgQH41foCPJyfzxuf7sKvrCboD022ufPS8fi5/KjyuFmTfpCvrEyqjvvh76n5aHsqIT39JOnp+5qt99L1h9m0J5tZk/vRPaH1I1eIyLmtssrN6k1H2bYnh8qq5oeUrL4A8PNzUV5RRf2RvxPjQpk0ojv9ekaxLfcIXx474Ft304DxnS7o74q+0Xck23KPcKK8mOKqCt7Yv5HvD5naZvsvrCjjH7tWsL+wZmSgiIAgiiprZve1gf2FOewvzGFnfiZ3mBcQ6Nd0aDqoTyyD+sTi9nioqPRQUeGmotJNSVklH61Io6zcTVFxBZ9/eZC50/pp6M9GKPAXaUPrDh4ic3cl/rbz0fJ3A5XgKYX0rHIObE6jMmg3YTF+hIcGUlJaSXmpm6pyoMKFn9sPAwOP4cHj58F2ecDfxqjww7+qJuhP7B/AjRcMx+W9He3v8uOifv24qF8/Mk8WsMTaT3pGIQFFwfi7W/4xz8+v4I2PdzO4XwwXj+tFaEjbdCoTOduOl53kRFkxA6MSWj2z6/no6LGTfLr6AHmF5acuDM547R67wQVCSkI4E0ck07t7JIZhUFxZwat71/vWj4/vzZhuPdu07tI+gv0CuHngBJ7cvhSAjccP8fXxw23y9ztSnM+zO5ZzorzYt+zCpAHc2H8ceRUlbD6RwebjGewrzPHNk7D5RAZ/276Ue1IvIiwgqKldA07ef0iQi5BarfqXXdCHD5buB2DvwTy27z3O8EFt30+is1PgL9JGCspKWfZlBgF20yPrGBgElgdRmQV5eAA/wK/BB9Flu3BVeVv8aw00YWMzaHgEV44Z3OQxksOj+M7YMXjG2OzJz2bl/nQyjpwk5GQogVWBVLmqqAisoDywgqrACkLD/SgrhJi8GFy2c8zdaXnsO5TPhWN6MGpwglpNpNOocFfx4aFtLM7YjQebK3oO46o+Zz7me2dV5fbw5eajfLUjq06rvcswqP5YG4YB3n97PE4aUH29kiOYNKI7PZLq5k6/lfYVBd4Un8iAYG7o3/ystnJuSY1JZkpiP1Z7h0/9z74NmFEJpwy8m7M99ygv7F5FmXdiNgP4Zr8xXNLdxDAMugWHc2nKYC5NGUxRRRkfH97BF0ctwGn9//OWz/nRsOnEBoe16rgDesUwYlA8W/c4o0It3XCYlMRwYqPat3N4Z6PAX6QN2LbNv5dvJqDcCfptw8OVl/QnJjSEg8fz2Z1xnOPHy3CXGBg0HURXt3w0VsY2bMaNj2fakD4tqpPLMBgck8TgcUlUjK5i0/HDHCrKIy4khoSQCJJCI4kNCsVluMguLeT1HRspPGAQUeKk+VRV2Sxdf5iyqiomD09p5SsicvbtzMtk/r4NHC+rGX/88yO7mJFiEn4Ggcy5rKConBUbM6iodBMZHkhUeBCRYYFEhgfh8dh8se4gJ/JrJoMKDHAxbVxPhg3s1uQFvW3b3hlabTweDy6X0ejETFtOZLDWOywkwHcGjD9vX+fz2Tf7jWF7XiYFFaUUVpbxVtpGvmte0Or92LbN4iO7eefAZt9vWZCfP98zpzAirvHfkIjAYL7dfyyxwWEsSPsagMzSQv645TN+NGx6q4dwnTa+B0eyizhRUEZVlYePVqRx45wh+Pudv521W0uBv8gZcNse8spLWLknnYosf1+4bqZGMSjFmZwlPiaUcQO7A1BSXsn2w9nsyciloqqK8NAgYsKDiI8MIykqnG6RYfi5DMor3BSVlTv/l1ZQWlHFoMS40265CPTzZ2JiXyYmNj5qQ2JIJP8z9mI29DrI+9t2EpEVTWCVcxGz6WCmAn/pcB7bpqCilECXP6H+AXWC1pOVZSxI+7pOEFqtwuNmeeYerug1/CzW9uzIyS3h3cV7KS6tPHVhoGdSBJdP6UNkePPBuWEY+PsZ+PuBc1eyoeLKcl6rleIzIb4Po5Ti0ymF+gfynQHjeW7nCgDWHktncHQSkxP7tXgflR43r+1dV+czGBsUyj1Dp9Ej7NQTn12aMpiowBBetr6kyvaQX1HKn7d8zv9LvYhBrZhHIcDfjznT+vH6wl24PTY5uaWs+voIF4/Xe7OaAn+RVjh0MpcVB/dzPK+Uk4VVuEsMgsqDCKwK9LXSB0bbXDF2UKPbhwYFMGFADyYM6NHscYKD/AkO8ic+qnW3Os+EYRhMSOjD0Iu6M3/LRk7ucJaXlbqb31CknXlsD8/tXMG23KOAMxxgREAwEYHBRAYEc6DoBMVVNbnr0ZVhpBQkU1LiJis+iyVH9jAzZUiznQY7myPZRfz3i32UV5768+nv7+KisT0Yaca3SdpeWVUlr+1d75td1knxGXvG+5WOMzKuBxPi+/hG33lt73q6h0bTO+LUY+Lnl5fw910rSS864VvWP7IbPxhyYatGCRof35vIgGCe27mCMnclpe5Knty+lJ+PuJS+kS0fcSk+JpSLxvVk6fpDgDPDdO/uke0y2291WlxnGg3v/PkWFGln6zMP8snqA4QXhwOhhDZSxuPn4aYZwzt1TnxYQCAX9x7Awh0HAfCUn71zsW2bCo+boPMoQJMzt+jQDl/QD85wgHkVJeRVlNQp5+f2Y0hJbypz/KkCAnGReDyR9OB0VmenMb174xfkbSWvsIyd+04QEuJPfEwo8bEhBDeSInOm0jLy+XDZftxuJ+gIDPBj2rgeVLk9FJ6soOBkOUXFFZwsqSSpWxgXjetBTBvMcppXXsKSoxYrMvdR5q65y3DzwAlnlBMu54bvDBxPRnEeR0sKqLI9/GPXCh4cNavZEZoOFB7n77tW+vp5AExJ7M+NA8YR4Gr8blFzzOhEfj7iUp7esYyCilKqbA8v7F7NQ6Nnteo9NmpwPAePFpCWUQDA8g2H2zTwz8ktYePObHan5RIa4s/1swcTdYo7aeeKDvt1NU1zOPAwcDEQAxwB3gZ+a1lWUSPlxwG/BsYD4cAO4EnLsl5vYv+DgEeAqUAcsA94AXjWsqzmxzETqWfJoT18uSab8PLGh7m0sQkIh0sn9iE2ovN3JEqKjMDGxsDA5XZRWekmIKD1X+Kt9credXyZncbUpP7cPGBCp76AkraxryCHhYe2+54HuPyo9NRr5bYhpSSB6BMxVFbV7ZgaVBlIWEkYi4/s4qLkAXWGyW1LRcUVvPnxbkrK6o4vHhEWSHxMCPExoURFBBERFkhkWCDhYYEE+Le+LvsO5bFweZqvpTE02J9rZw4iIbaxpoiGKj1uduZlUlRZjsf24LZt3LYHj207Qwn7BxIREER4QDARgUFEBARzoqyYxUd2sT7nYINx/Kck9mdkXPN3MKVzCPYL4AepF/L7TZ9S6q4kt7yEv25dTKCfP7nlxfgbfgT5+RPs50+QXwBBfv7szMukynZCKhcG3+o3hundB53Rd3fP8BjuG3Epj2/+hJKqSk6UF/PKnrXcnXpRi/drGAaXT+nDP97agm1DbkEZbrcHvzPI9bdtm0OZhXy1I5uDRwt9y0+WVJJ9okSBf3NM05wDvAcEAuu8/08Cfg5MNU1zmmVZFbXKzwQ+AlzAcqAEuASYb5rmUMuyHqq3/5HACiASWA1sAKYDTwETgZvb9QTlvGHbNh/s386ODQWEVNQE9FExASTEhdIzPpLucRHERgefV52HIgKDqPKvIsA7hGhOUQndY9t3JsQDhcf50juyxKqs/ZhRiUxI6NOux5RzW0lVBf+yVmNjE5cXS1xRLFHBwQQH+uEf6MLlD/jb5J+o4GRRFVXUBKXhoQGcLHFapWPzYzkcdpivcw4xvh3eU1VuDx8u298g6AfngqCouMLX8lhbSLA/0RFBmH1jGdq/G0GBzV9c7z2Yx0fL03zBd1R4INfNHER0C1vzs0oK+MfOlWSWFp668CkkhkRwacoQpia1PA9czn2JIZHcbl7AszuXA7T4vRLmH8idg6e22YzL8SER3DpwEn/ftRKALblH+OKoxaUpTY9oV19IcAAhQf6+z2VpeRXhoU2PutcU27bZk57Hum2ZHM8rbbC+X48o+vVo+zSi9nLWA3/TNLsBr3qfftOyrHe8y6OBhcAU4B7gf73LQ4DXvOVnWpa11Lu8P7AMeNA0zXcty9roXW4A/8YJ+udZlvWad3k8sBj4jmma71UfV6QpHtvmP7s2cmhzOcGVNT+sk8ckMXn4+d3CZRgGRqAN3jgmK7+o3QP/6uHcqr2VtpHUmGSNEtJF2bbNa3vXk1teQvjJcLrlOTm+hScraC4UiY4I4uIJPUmIDeX/3tmGx2MTWh5CSFkwn2bsYlx87za/k7Rs/WGyjjvjlRuGM8lQbkEpuflluBsZGrNaaVkVpWVVZOYUs/rrI6T2j2P0kIQ6nfjzCsrYeyiPPel5HMutSW2KjgziW5eZRIS1LJDZmHOIV/aupdzd+IynLTUwMoGZPQYzPDZF8yOcp0bEpXBlr+F8eGhbi8p3D43i/6VeRHxI2/5GjOrWk0u6m77fhncObKJ/RLdW5fuHhgT4Av+S0tYH/rbtjG63efexOssNAwb2imHs0ESS4zvXhJcd0eJ/NxALPFY7+LYsK980zfuBd4ChtcrPAxKAl6uDfm/5/aZp/gKYD/wIuNW7aiYwAlhWHfR7y+eYpnk3zh2AH3mPI12EbdscKDxBVFAwccGn/pBWedy8tHUtJ3YYBFVVB542F0/syZjBbdOica7zD8K5twbkFBU3W/ZM5ZeXsPH4IUJLQokqiiQ/soAiSnk77WtuMye367Hl3LQmO42Nxw/hX+VP0vFTj+oR4O9i4ohkxqQm+u6+DekXx459zqyhMfmxHA4+yq78LFJjks+obsWVFWzLPUKv8BjyMqt844YDXDS2B2OHOt8Rbo+H3IIycnJLyS0opai4gkLvHYCTxZV10mYqqzxssXLYYuXQu3skSXFh7M/Ib7SFMSYyiG9dbrYoiHF7PLyTvokvjtRcWAe4/BjbrSf+Lj/8DBd+huFLgSquqqCosoyTleUUVZZ5U4JsRsSmMLPHYPpGtDzoks7ril7D6BkeQ2FFGYmhkcQHh+OxbcrdlZS5qyjzPgb5+TEoKvG08vlb4tq+o9hfmEP6yVw8tt3qfP/Q4Jowt6SsZaNfVXO7PXyyKh0rPde3zN/fxbAB3RiTmkh0ROdslOqIwP86nFma/1Z/hWVZa4D638izvI//bWRfCwE3MLsl5S3LWmOa5jGcdKKIxvoSyPmn0uPmhVXrKU534Q6oYt4Vw0iJbPq2XEFFKf/avJbKPcEEur0z1xo2l0/ty9B+XedHLzjEn7I85995RWXNFz5DyzP34lfhR0p2d1y2i/CScNJ7HOTLYweYmNC3zW4fS+eQVVLIG/u/AhuSjiXh53GCioiwQK65ZACVVR7KyqsoK3dazF0ugwG9Yhq0fo8bmugL/CNKwgmsCODTjJ11An+P7WFNdhqfHN6Jv8uPmSmDmZTYt9G+AB7bw6qsNP6bvoXiqnJCyoPpndnLt97sE8OY1JqLFD+Xy+nkG9Mw/97jsSkurSQtI5/Nu45xoqDmM3bwaGGdHOJqLpdB/57RTJ/Qs07QX1BRSmlVBSH+gYT6B/qCsPzyEp7fvZr9hTUXJvHB4dw15EJ6hp96iMVqtm2rv00XYxjGOdF3w9/lx51DpvLYpo9PK98/JLhm9vnGUvGaUlHp5sOl+zmYWfM5HNQnhksm9iYkuHMPPnFWa2+aZiBOa36aZVnHTdMcDFwP9MTp3Psfy7J219usuvV/e73lWJZVaJrmUaCnaZqJlmVlN1e+ejOcOwipOH0L5DxWUlnOP5ZugMxgZ47cCj+W7UjnO5NHNlreys/mtfWbiMyKIcD2tmAYNldd3J8BvU49rNn5JDw0gDKcTpRFJRWnKH36Kj1uVmbtIz433jdzsMt2kZiTSEZyBq/tW8+vx8w5r4ZiPB95bJvMkgKC/Pzp1oK7ak2p9Lj5v92rqfC4iSmIIazMCZoNA2Zf2LfRILopcdEh9O8Zzf7D+QDEFMSyOzCbg0W59I6IZWdeJm+nbeJISb5vm3/vXccnh3dwRe/hTIjvjct7AbC/MIc39n/FoZPO1bDL7SI5Oxlvv0aio4KYeUGfFgfILpdBRFggI80ERgyK53BWEZt2HfPVtZqfn0Gf7lEM7B1Dv55RDUYJ+uLIbt5O24SnVv8Gf8NFqH8gFZ4q3+yp4AzZeNugSYT6ty7dQUG/dKRuweEN8v0XHPia4TEpxAaHEhMY2uTvw+m0+JeUVfLe4r1kn6hJrRtpxjN9Qq9ONWxnU872L2kf7zEzTdP8CfCnenV40DTNn1mW9VStZdVNM5lN7DMT58IhEchuYXm85eU8lldWzPNfbCTgeN1AIetYw7QVj22z6OB21m/KJqawplXf8INrZwyid/fO03GnrcREBHMc57UqLWm/sfzXH0unqtBFRHHd/NCwslCiiqI4bhTw4aFtXNd3dLvVQU5PaVUlu/Iz2Zp7lO25RynyjuueGpPMVb2GtyoXF6DcXcVre9dzuDiPoPIg4nNrtp8wLJkeia3PIR43LNEXTEcWRXA85jjvpW/Gz3CxPe9oo9scKzvJS9aXfHxoB7N6prI7P6vu5GA2pBzr7uv87jbcWLH/f3v3Hd/GdSV6/AeAvfcuiqLKFdUlW7IkNznudhyXOMVxnNhJnE2yiZPN7iYvZd9utvhlN71smtex4ySb4thOHPcqV9lyUbEk6qo3UhSL2EkQRHl/3AEwpEiJI5EEAZ7v56MPjMEMODgeDM7cOffe/ezpKTqtMiKXy0V1eQ7V5Tl09gywbXcr/V4/M8qzmVWZS8oII2qFQiH+eugdHj10YhuXPxSMjLEPZibw62qWcllVndTli7g0vN7/2QY9pHwtOzmNwtQMziubw/nlcyLLM9NtLf5jmOiuq2eAB57eRXtXdF6QNcsqWL2kPGEugM848VdK/RYYy8wdDwEPWv+9GNOJ93vAj4Fu4Ebgu8D3lVJaa/2ktW54BqMTCx2HLg83MYXX7xth3ZHWH5VS6lbg1lOtZ1k2xvXEJGjo6eDeZ7aQ3nniBFjBLg9e/yBpSeaE0O3zcvc7r9G3K4k8X15kvfQMD+99l6KkcOwtjImkKCeD3VbiPzgwegfFMxEKhXiuQVPSVhxZlpbqwTtgLjSK24rozejlmSM7WVk8k+qs6XXXZSrq8nl5q/UgW9oa2NXZTCB04ujIO9qPsqP9KIvyy7lm5hJqsgtP+b4Hutu4W79Kc383rqCL8ubyyKR4pYUZrF52enX5lSXZVBRn0tjSixs3+Z351Cc1DVknlSRWuufh9sCbgT30Bc0drqb+Lu7d9drQdUPJLOqdTU9/9HM3lTTR4+rlB9ue5/KqBVw7cwke9+mN8pWblcq5y08+U3YwFOKP+97i+cZdkWXZVs1zr983pO9AXko6t6k1zM+TcjkR326YtYy93a1DJgoLM/1RvBzYs5H81AwWFVQADCnLOVWpT0f3AH98YmdkNDCAi1dXs1SVjNMnmBrGo8V/JqDGsF45EO4JkQv8Qmv997bXf6aU8mAuBP4vEE78A4BLa32qzCN8lg03TY51/ZOpAS4cw3piAnX7vHT4+qnKzBvTFbc+3sz9z9eT0RNN+gtKk2lt9eIOePAEPWw63MiK6krebDnIk9t2k300n7RgtFWtpiqbq8+fTeoETL4TL8pysgGrNtjnitT5BoIm4TndxMZud1cL3U1Bynxm1KQkj4ubrqrjoWd309E1gCfkobS1hIbSRu7b9TpfWX75hI3DLkY3EPCzue0wG5sPsKO9aUhZiV1mUip9fh8h6/Vt7UfZ1n6UxQUVvLt68agXAFvajvDz+pcjFxElbcWkDppylOQkN1ddUHtGx9vZi8p4+Pm9AOR15XI8/zhBdxBXCFa4ZhNoTKXFSgrqMueSWR1k4+BuvEFbohCCJe6ZuBoy6BmI3gGbPTebo+4AWLnCk0d28MLR3czKLqQ2p4ja7CJqc4ocl9eMJhgKct+u19nQvD+ybGF+OX9Tdz6pniRCoRCDwQB9fh8DAT/F6VmRciUh4lmS28PnFq5jfeMumr3dHPf2cXygl3Zf35CL3Xt3beCfVlxFbko6GUNq/Edv8e/p8/HAU7siSb/H7eLK82cxrybxGpvOOKvRWp831nWVUitsT38ywir/gzXWvlIqXWvdD/QCeUqpNK31SD0Mw+Oe9ViPvcOWn2r9kzmAmTdgLJZhLmjEOOkZHOCJw9tZf2Q3+N3MLMzjg7PPHrVT2kDAz+P7drBtUwcZ/dGkv2JGOu9ft4CfP/4W/aafH+vr9/NIfT3p3RnkeW3lCC648OwqVtSVJsxtvdNVlp1F0BXEHXLjCrrZuquF7QdaaDrWh9vj4oZL5lFdmnNGf+PZQzoyTCOYBC0/J43L1tTwxyfNbdysviyye7M47GrnycM7uKp60Rn9TTF2B7uP81zjTja1HmEgOHJr2Yy0fGpd5aT2pHH8mA9PEgwU9LKF/YSsr9A7xxt553gj83JLuKyqjoX5FZGSE91xjF/Ykv78vlzyuvMi73/RquoznnV29ow88nNSabcuJnO7cikpSCevpYCOTh+RcWuBnt5BeurhrPwFJM8Y5A3vPgrdWdR0VHKsyUu0bQkWzC7kstU1XOSv5p5dr7Gj3VSSegOD1Hc0Ud8RvbNQlp5DaUYOhamZFKZlUpSaSWFaFkVpWaQnRZOTkwmGQty3e+OQpP/sompuU2tIsjr0ulwuUjxJ0idGJKSs5FTePXPxkGXBUJAWbw/f2fosnb5+ugcHuEdv4I5FFw2p8e8fpcW/f8DPA0/vprPHlPd43C6uu3guMyvO7PdtqprsM0OL7b8PDH9Raz2glGoCKjCz+fYDjUAeUDbSNpxY09+IScLLgOEdhUdaf1Ra63uBe0+1HoBSaj1yd2Bc+AJ+nm3UPHWgnvTj2dR0zsIdctPb2su3Wp5jdU01185cEhnOKxgK8mrTPp5+Zy+Zx/LICEZLc+bMyeGatXNxuUwHufpWM4lOaksWqcOqvdLSPVx/0dy4G5N3oqQnpxBICuAeNK2Fz752yHrFRdAPDz6/k79971mnPaNvq7eHhr39FATMtXh6ehIrF5lyhKqybJaqYrZoc8ooaS2hL72PvxzcSnpSChdVzDuzDydOKhgK8cTh7Tx88J1I673d7LQSZgXLCHZ6aDrQR1PQz5C2lM5kzspeyGBpL1sDByIXALs6m9nV2UxZeg6XVs2nJD2H/97xAv5QEFfQxYyuctKPR79/c2fms3DOqcuETsXlcnH2wjKe3nAQgLKOYoLHoYNop/XM9GSCwRD9AyY5aG33QjusKVtEc1sfx2w185npyVyyeiazq/MAyElJ53ML1/Fsw06ebthJp+/EytSm/i6aRpgMyYWLpYWVXFw5n7k5xaM2OHT5+nnwwJbIJHdgZs398NyV0qIvpjW3y01peg63zVvDD7Y9Rwio72jimYadnJMXnWCud4Qa/8HBAH9+djdtHeY763LBu9fNTtikHyY58ddaH1ZKdWJaxiuAIVMZWqU+RZgyHattlm2YEXgWMCzxV0rlWO/TYo3oE17/Kmv99cPWdwHzMU02O8bpY4lx4gv4eb35AI8ceAdXayrlHTNIspXfZPZnktGQge7s4l8aH+PdcxdRkpbNgzu3EjqURq53aIKwbFERF62ITtazYlY59VtPnD0TYPbMXC5fM4u0VGkls3OlhCIlDMMFB9z86eV6brro9Frgn967i7zOvMjzdWfPIDkp+v/7vBVV7DvSSXevj6RgEiVtJRwtaeL3e9/EBayT5H9UR3rbefTQNvJTM1hTUuto6MYun5d79Kvs6BhaB1+enkudawa0JdOwr5fDnHyI1+7uQehOYXX+Yryl3WzxHYyUCDX1d/Hr3Rsj6yb5k6g+VkXyQLQcJjszhUtWj99kW3WzC3l1cyO9/YMEbd0SkpLcrFxYxtkLSwmGQryxrYm3dhwjEDD7erhp6KjPi+cVccFZVSeUAbpdLi6tquOSyvm0DfSyr6uVfd2t7O1q5Uhv+5BSBLsQITa3HWFz2xGqs/K5pHI+ZxVVk+T20Of3san1MG+0HGRnx7EhF2Hnltby4bmrpLOuEJa6/DIuq1rAk0dMevfnA1uoXRi9o9zv9Q8ZmtYfCPLw+r0cbYkO+HH5ubOYPSNvUvd7ssUiy3kc+CDwfuAbw157F5ACvKa1DjfFPGGtex3w2LD1rwE8w5Y/AXzJWn94OdFaoBh4Qcbwj52mvi42HNvH8YE+On39kX9ev5+c7mwK28tIDox869uFi9yeXLJ7s3mqfR8hV4iC9gLcti4bKWlurlw7i9kzhiY7JbmZZOR66Os0t+rzC1JYNqeUeTUFQ3r+i6i0whB+65zoTfHSl9VLZnIKqcfM6CpHD3nZdrCZRTOddX4aCPjZu7ObDKsvfm5eMvNnDa2lTE3xcPHqav787B4Acnpy6Mrspjezl9/tfRMYPfn3BwP4ggHSPcnTrmQrGAry0x0v0uo1/+OebdDMyMxnbWktq0pqTjoT8q7OZu7e+QodthbrOSml1AWrObK3lwavDzhxaNei/HRqq3KZVZnLkWM9vLGtCd+g+Z4dbx+A9hQuLF2Gr6iPtwb2DqmddwfcVDdVkeyLJv01lTlctrZmXMfLTvK4WV5XwstvN0SWLZhdyLnLK4eM/3/eiiqWqhJe2dTAjr3RToS52alctnYmM8pO3hLocrkoskp4VpXUAKZRo7GvkzZvL60DPbR5e2nz9tDq7R1yF+BQTzu/1Bt4cP9mZmTlU9/ehH+EztNrSmbx4bnnSNIvxDDXzlyC7jzGge42AqEgv9qzgeKkKvz+IIFgCN9ggNSUJILBEE+8tH/IfBkXrZrBgtlnfodxqotF4v89TCL/JaXUS1rr5wCUUtWY+n6AH9nWfwD4JnCrUurPWuvHrPVrreUhzGhAYS8A24FLlVK3a63vstYvJnoh8J0J+WTilLyBQb63+TkCHR5S/MkkDyaT7M+hfLCQpEBSZBSPsJzMFNYur6A4P4OX3z7C/gbzJXWH3BR2nPgFXVZXzPnLq0YsP3G5XHzs6iUcOtpFcUEGuVnxOeveZLp8+Rzucb1OWkoy51bXsLZ0JS5c/ODh10ntMSU6T71ygNqyfDJSR7546uwZoLPHS3t/Px39Xjr7vTR0dA3pfH3FmtkjJui1VXnU1RZQv8/MnFjZUs4hzxG8aV5+t/dNXLi4sGIuYJL9He1NbGw5wJa2I/iCAdI8yRRbSZj5l8n8vFLKMhK3O86240cjSX/Y4d52/rDvLf60fxNLCiqpziogNyWNnJQ0cpLTyUlJY8Ox/Tx8cGukVTnJn8TCrtl4O0Ls4sQ7ZTPKspk7M59ZVblDvkuVpdksmVfMxneOsnlnM4Ggeb/GY71wDJbm1JFRHmJLaD/tvj7T0m8l/W6Xi3WrZrBUjV7ycibOWlBKd68P74CfsxaWUVZ04qhfYO42XHHeLFYsKGWLbiY3K5XldSVD7kg5keJJoia7cMTOzUf7Onm2QfNa834Gg+ZiqcPXT8fxE8uF5uaUsLasltUlsyTpF2IEHrebT6i1/Pumx/EG/DR7eyj0BMBvvi99Xj8pyR6efe0guw62R7Zbs6yC5XXTY5R3V2iU248TSSn1RUzyHQJexQzneS6QDfxaa/2RYeu/B3MB4MEk9t3AxUAG8DWt9Z3D1l8FPIsZsvN1TN3/Oky/gbu01p+cgM+0Hrhw1apV/PrXvx7vt08Yjx3cxuZXO0nznTzpTk9LYvWSchbPKybJE23NP3S0ixfeOEzLsGnsiwrSuOLcWkoKpufQm5Nt27GjPPbUQZKCpu0gryyJj12+bMg6nT1e/vTiTjpbTj6EWn5ZErcN29au3zvIfQ/viNRnhtxBDpYfZiDVdMS6unoRXT4vb7ceotd/6onGXLj48rJLmZWdmLMw/2jberYdb8QddFOSkUWrr2fEVuOTKfDlUNlcgc83dLvM9GQWzSli4dyiMU1X39UzwIbNjezY18bwn5qUZA9p6W66uqK1ZFeeP4u62sRvcRtJt8/Li017WN+4a8gY/NVZ+awqruHs4pnkp8r5TYixeK15P/foDQBUN8wgfcA0VH3gCsW+I528sS1ayri8roR1K2fE1d3hW265hY0bN4KpYFnnZNuYFDRrrb+rlNoE/COwBlPesxP4OXDXCOs/rJS6EDPM52rABWwFvqu1vn+E9Tcqpc4B/hW4CFgE7Aa+ghk5SMRAv9/Hq/VHKPCNnnDlZqWwcE4RKxaUjjhpTXV5Dh++ZgH1+46zYUsDA74Aa5dVsmRecULMqBcvFpWWs3l+E807rBbKJj+v7zrCOfOqCAZDPLtlP1u3teIKnrzTYdAV5N1r5p50nfS0ZN576Tzuf1LTP+DHFXQzs2kGB8tM8j/SBEZgZi8dKeENEaK+vSkhE/+W/h62tzdS0FFAcXsRycluVs/MI1g4wFbvIQ70nDj+9RAhmDtQhedoBj5b7GbPyGPRnCJmVeU6+p7lZKVy+XmzOGdJOZt3NrNtTyu+QfO+vsFApBwI4F3nVE/bpB8gOyWNq6sXcVlVHVvajtAzOEBdXhmlGYnbyVCIibK6ZBb17Ud5rfkAfk/0PPPq5sYh/XbqagtPK+kfCPh57dh+NrYcICc5jY/OWx2ZG2iqi1lPRq3188DzDtZ/FbjCwfo7MJOCiSni6cM7yW6LlljMnpHLrMo8crJSyM1OJTszZUjr/mhcLhcLZheyYHbhkI46YnJ98KwlfLdxA0kdZqjFlzY2kpWayrNvHMDf68Jl63fRn9qPO8l0pExN8pCakkRmWjLnzK2iOGfkcgu7ovx0brxsHvc/pfEOBHAFwsn/IQZSo638BcmZLHDNIKU7naAP0tI8uFMgkOznsO84+73NeFMG6A+Mber2ePNi025cATeFHaa/xOBgkPo9pkyqNKeCs2fMZTDfS797gC5fP10+L12DXrp8XjwhN7Xt1fS0REfpT09L4t0X1p6yrv1U8nLSWLeqmrXLK9m+p5VNO5vpGDYz5rL5iTVJzulKdns4u3hmrHdDiLh30+yVbGw+SMCW+NuT/tkz8rj83BpHOcTxgV7WN+7mpaY99NnuMK/smMmKourx2fEJJkOYiEnROzjA6/WNFPpNK2tSsosrz68dsVXfCUn6YyfJ7eGDFy7g94/sIimQhDvg5sn1B8HWT8OX7GP2okyuXbjsjMcVLy7I4MZLFfc/pRnwmeS/5thMOqtbqEkrJrM7i2OH+mnxB4lO52GXRjXVBNwBevITL/EfDAZ4pWkfud05uEMnXkB3dA3Qsd0k2xlpSWRn5lGTkUJWRjJZGcns3H+cto5oiUlZUSbXrJs9pOPrmUpJ9rC8rpRl80vY39DJ3sMdlBVmsmhu4t19EULEVlpSMpnJqQQ8J5abzijL5uoLa8d8B/Ng93GebqjnrZZDJ0xgWJCaEVd3kCXxF5PiycP15ByPtvavXlxxxkm/iL3qvALUkhz2buobsjzoCpJcPsita5ZQlpU9bn+vpDCD9146jwee2sXAoOmwlbuvhHagfcRk/0SeoIee1pP3O4hHb7UcondwgOLu8siysxaWMuALsOvA8UiJDZgObn1eP8fa+kZ6K5bMK2bdqhljugN3OlwuF7VVedRW5U3I+wshBEB2cip9thZ/gNLCDK5915wxn99eOrqH3+7ZeMKMJkVpWVxcoVhbWhs3ZT4gib+YBN0+L2/VN1EYMFfEySkultfJbf1E8Z7FdXz/yAZCLaZl2Jfh5YJVVaypHr8x2O3KijK54dK5PPD0riHJbFh+TirzawupLMmit3+Qnj4f3b2D7Gk4Tk+3SfgHR9gu3q0/uot0bzqpg+b/Q0qyh7VLK0hO9nDRqhnsOdTBjj1tHGrqOqGjbZjH7eKSNTNZOCd+Wq+EEGI02clptKdEh+wsyE3jhkvmjrnh8fnGXfzeGj46bF5uCRdXzmdJQUVcTp4nib+YcI8f3EFue17k+dqlVac9LJ6YelwuF5+67Gwe2rSDjNQkrliwdMJbP8qLs7jhknk89MxuBgYDZKYno2rymV9bSGlhxogXHIObBtm+1Qzf5k+wxP9Qz3H2d7dR3lUWWVZXWxAZ1jY5yUNdbSF1tYUEgkF6+wbp6TMXReFHl8tFXW0hRfnpsfoYQggxrrKSU+lP66e5oJmlOdW8Z5UiPW1sv0/PNOzk/n1vR55XZ+Vzy9xzqM4qOMlWU58k/mJCdfr62aJbKAyY0TpS09wsVcUx3isx3tKTUvjQymWT+jcrSrK47YZFdPf6KM7POGWtZmZK9GQfSLBKnxeO7sYT8JDdGy2rWjJv5O+Zx+0mJyuVHJnHQgiR4LKTU8EF7XkdFNfWjnmyzicO7+ChA5sjz2dlF3LHoovISBq/Pk+xIom/mFCP7d8+pLX/3KVVE1Y3LKafjLRkMsbYemNfLxiY/PlLJkqf38fG5gPkdOdEJsArL86kWOa0EEJMc9nJaZH/7hkcOMmaUY8eeoeHD74TeT4np5jPLlxHehzV8Z+MZGBiwrQP9LFtVxtJQVNukJbuYbGM3iFiJDs12lITsvX1CoZC6I5jHOvvGmGrqe+1Y/vxBQLkdUU7z4/W2i+EENOJPfHvtk2MN5JQKMRfDmwZkvSr3FI+tyhxkn6QFn8xQYKhEA/s3kReR15k2QXLq/BIa7+IkaxUW2lLwE0oFMIfCvI/O19hc9sRXMB1NUu5vGpB3AwTGwqFWH90Nxn9GaT4zYVNaoqHeTX5Md4zIYSIvazk6Hm/+xQt/s807OSxw9sjz+vyyvjMggvOeCjqqUayMDHugqEgv9m9kQN7evFYrf0ZmR4WzJbWfhE76anRk7c76KZ7cICfbH+BzW1HAAgBDx3Ywl07X8EbJxN86U5zpyKvO9rav2B2oXSeF0IIzIzYYT0nafF/s+Ugf9q/KfJ8UX4Ff7vwwoRL+kFa/MU4CwSD3KM3sG93N0Wd0UT/wuXVY54oQ4iJkJISTYY9QTc/2PYcR3o7AEgdSMGfFCDgCfBW6yGO9nXymQUXUJw+fnMQjLdAMMhfDmzF4/eQ1ZsVWS5lPkIIYWSPocV/d2cz9+gNkedzcor51ILzSXYnZgOKJP5iRL6AnxZvD52+/iH/unxeCtIyWV0yi8rMvCHb+IMBflH/Co27Bijqiib9laVZqFnxPfyViH+ptnGb3UE3R3o6AChtLTUt5i5oKjxGZ3YnjX2d3Ln5ST4xfy0L8ytitMcn9+eDW9jX3UpBd36kU29lSRaFeTIcpxBCwLDE33dii//Rvk5+suNF/CEzxHNpeg6fWXBBwib9IIm/GMGB7ja+/85zeAf9JPuTSfGlkDIY/pdMY1IHr2S/QHFxKmvLZ7OqeCYel5uf7XiJtl1BCnqi9cXV5dm856I50tovYs7jcRNyhXCFXLhw4Q65KW0tIacnx6wQgrLWUjIG0mgqbKbP7+NH217gmpmLuaJqAR731KmM3NrWwFNH6iEEubYyn8XS2i+EEBEZSam4cBEiRH9gEH8wQJKV1Hf6+vnRtvX0+X0A5CSncceidWQmJ/ZQx5L4iyG8gUF++c4Gig+VkTaQFmlJHGIAsnuzGWwd5Ikje3kwdwu56al4DmaT2xdNQuZU53HVBbUyfKeYMlyeEPjNMV1xrJzM/swT1snpziV9MI1DJQ34k/w8fHArb7Uc4ua5K5mdE/vE+ri3l3t3bYgk/eFOvWmp0qlXCCHs3C4XWcmpkRF9egYHyEvNwBsY5Mfb19M20AtAqjuJzy5cR1Fa1sneLiFI4i+G+OPet0k5nEP6wKnLBZL9yRS3FxFqL2QwaTCSgAAsmlPIJWtqpKVfTCkpyR58fjOGvz3pXzKvmEF/gPp9xwFI9qZS21jD4eIG+tP7aejr4L+2PM15ZbO5vmbZkJEiJlP/wCB3vbaRnNYCyvsy8YSit6MXzC6Si2whhBgm25b4dw8OkJ2cxl31L3Oox8zk7sbF7XXnMjN7epQkS+IvIra0HaF+ZzvF3mh9fm5WCvm5aRTkpFGQm05OVgoHj3axbU8rAwNmMHQXriFJ/1kLS7ngrKq4GRJRTB95Gek09/cNWba8roR1K2cAUFqUyQtvHCYUApffTXXTDNoKWmnNOQ4ueLlpL5tbj3Bj7XJWl8yatGO8r3+Q5zceQh9sJzmUzfARpT1ul8yILYQQI7A31HT6+nni8Ha2tR+NLLt57koWF1TGYtdiQhJ/AUCXr5/fb91EUXtZZNmaZRWsWXpix8aaylzOXV7J7oPtbNUtNDT3RF47b0UlKxeVSdIvpiR7B1+AlYvKOG9FZeR4XVFXSnF+Bo+8sJd+rx9CUNhWRFF/AQfyjuBN89LjH+DeXa+xue0In6w7D49rYlvZ/YEgf35uD02tvSe8lpuVwpzqfBbOKSI/J22ErYUQYnqzT+L1h31v0dzfHXl+9YxFnFc2Jxa7FTOS+E8TW9qOcLinnbOLZ1KWkTPktVAoxK92vk5uY2Gkpr+sOINzFpeP+n5JHjd1tYXU1RbS2t7PviMdFBdkMKsyd9RthIi10qJMDjeZk/7qpeWsWVpxwkXqjLJsPvzuBTz8/B6OtZm7A6E+NzP7qunP7aUhr4mAJ8DmtiM8uH8z76tdMaH7vH7j4SFJvzdlgIxCFzedtZSSggy5yBZCiJOwj+xjT/ovqpjHNTMXx2KXYkoS/wTn9Q/y2z1vsHPvcdJ8aTyTtZuFVSVcVb0oMhzny017adkTIM8q1/Ekubj6/Nljrs8vyk+nKF+GEBRT3zmLy8nKSKYgJ42ak1ykZmem8IEr5/PmtiY2vtOEP2CGekvvzGRuTy1Nec105HTyTMNOZmTms7p01oTs7zu7W9i6qyXyvLmgGUp93LH8ypj1MxBCiHiSlXzi3dA1pbW8v/asadlwIol/nNvSdoTGvk7OLqo+YbKhg93HuXv7KyQdzqa8z5Tw5HflcbS9h/9seJa6imJWl8zi0a2aku7SyHaXrq4hN1uSCpF4UlM8rKgrPfWKmLtaq5dWUDe7kPUbD7P3cAcAoYCL0rZSsnqzaShv4Ne7X6csI4ea7MJx3dem1l6ee+1Q5HlXZhedeZ38w/xLJOkXQogxyhmW+K8onMEtc1fhnoZJP4AMARHHWvp7+PXrm3j5rQb+49Wn+eO+t+gdHCAYCvH0kXq+//oLZO4tIqtv6PBUWf1Z1DTMpHl7kPveeovC5mhn3rk1edTVTo+e7UKMRW5WKte+aw7XXzKXPNsFcaY3g9KWEvzBID/d8SKdvv5x+5t9/YP8df1eAkEzAtFAygBNxcf4wOyzpsSQokIIES/m5EbPmQvzy/nY/LUT3jdrKpMW/zjW3+unosXU4Rd05vNO13Feb3yE0qwcjh8epOp41ZBx+CtLsoZ0xM3uyyLbdlGQkZHEpWtqpuWtLyFOZVZlLjOuXcirmxt5c1sTALk9uQyk+GjPa+fn9S/xd4svPuMZH4PBEI++uI/uXjOpTMAdoKG0kTXls7iwfO4Zfw4hhJhOKjPz+OLii2n39XF2UXVkAq/pShL/OFaUmUlKihufL4gLF/ld+WT35DCQMkCJNzqRT0qymyvOm8Wc6nxa2/vZsKWR3QfbT3i/d58/m7QUOSSEGE2Sx835Kyrp7x9k+942AIqPF+FL8bGXVn63501umbvqjC6eX3r7SKQDcogQR0uaqMjP5kNzVspFuRBCnAaVN7YSz+lg+t7rSAAZ6cncdGUdM8qitf1JQQ+Z3ozI89LCDG65ZiFzqs2FQFF+Otesm82Hr1lAbVW0c+OaZRVUlQ3tIyCEOJHL5eLiNTOpKDYTgLlwUX6sjBRfCq8c28uLR/ec9nvvOdTOW9uPRZ635bfhyvHzqbrzz/hOghBCCCHNu3GuMC+dGy+bx55DHbzwxmG6rPIAMBMTnX9W1YizeZYUZHDdxXM53ullwOenvDjxp6kWYrwkedxcc9Ec/vfRerp7fXhCHiqbKjhYeYi/HNzCeeWzHdeQ9vYP8vSrByPPezJ6aM9r5wt176IgLfMkWwohhBBjI4l/AnC5XMydmc+sqlw21R+j4VgPi+YWRVr5T6YgVyb9EeJ0ZKYnc+275vD7x3fi9wdJ8adQcayCI+VHONDd5qgTbigU4qlXDtA/4Adg0DPI0eImbqhdJreohRBCjBsp9UkgSR43KxeVc93Fc8eU9AshzkxJQQZXnhcdwz/Tm0FJWzHbbdPBj8U7u1rZ39AZed5U0sRZZTO4pHL+uO2rEEIIIYm/EEKcgbkz81m7rCLyPK8rj/qjzWPevr3Ly/o3DkeeH89pJ7sgiQ+fYSdhIYQQYjhJ/IUQ4gyds6ScqjLTT8aFi4HDSfQMDpxyu2AwxOMv7Y/MDDyQPEB74XE+Mf9c0jzJE7rPQgghph9J/IUQ4gy5XC7WnV0deZ7Vl8Xr+w+fZAvj9XeO0tTaC0SH7ryudgnVWTKJnhBCiPEnnXuFEGIclBRmkFXipqfZtN5ve6edfP8x+ryD+AMhsjKSyc5MITszhZzMFLp7fby2pTGyfWtBK7PLCrhY6vqFEEJMEEn8hRBinKxZWs5TTx/BhYtAj2tI7f7J9KX2M1jUz23z1uGWun4hhBATREp9hBBinCwsL6U3t9vRNkFXkKaSo9w2fzU5KekTtGdCCCGEtPgLIcS4cbvclM1J4dCe4yT5kwh4AgQ8AUKuEEn+JJL8ySRbj0lBj6nrL27iwpo5LMyvOPUfEEIIIc7ApCb+SqkaYP8YV5+ltT5g2/Zs4J+BlUAWsB34gdb6f0f5W/OAbwDnAYXAHuAu4L+11sHT/AhCCHFSl82s41sdT+MPmdNMdnIqyW4PLQPthGzruYKmpKcqO4/rapbGYE+FEEJMN5Pd4t8D/PYkry8FFgGHgNbwQqXUpcCjmNKkF4A+4GLgt0qphVrrr9nfRCm1FHgRyAFeAd4ALgJ+CJwDfHicPo8QQgxRk13I99bcSPfgADkpaSS7PQD4An5avD009XXR1N/Fsf4u3C43185cEllHCCGEmEiTmvhrrVsZJelWSpUDW4AB4FqtdY+1PB34jbXapVrr563ls4H1wFeVUg9qrd+ylruA+zBJ/y1a699Yy4uBZ4CblVIPaa0fmJhPKYSY7lI8SRR6kk5YVpmZR2VmXmx2SgghxLQ3lTr3/gooBr6itd5sW34LUAL8Npz0A2it9wJftp7eYVv/UmAJsD6c9FvrtwCfHmF9IYQQQgghEt6USPyVUu/DJOxvAj8Y9vIV1uOfR9j0ESAAXDmW9bXWrwLNwHlKqezT32MhhBBCCCHiS8wTf6VUGvBf1tPPj9DxdqH1uG34tlrrLqARKFZKlZ5q/fBmmM+94LR3WgghhBBCiDgT88QfuBWoAZ6wWuSHK7cej46yfXh5OPF3ur4QQgghhBAJ74w79yqlfgucNYZVH9Jaf2XYti7g89bT/xhlu0zrsX+U18PLs4at3zfG9UellLoVc2EyFsvGuJ4QQgghhBCTbjxG9ZkJqDGsVz7CskuB+cCrWuuXR9kuALi01qFRXg8L370IWI9jXf9kaoALx7CeEEIIIYQQU9oZJ/5a6/POYPP3W4+/Osk6vUCeUipNa+0d4fXwHPc9tvXty0+1/skcwMwbMBbLgNwxriuEEEIIIcSkmuwJvCKUUm7gGmAQ+NNJVm0E8oAyTCI+3PCa/kZMEl4G7BzD+qPSWt8L3Huq9QCUUuuRuwNCCCGEEGKKimXn3rMw4/M/r7U+fpL1wqPznDAKj1IqB6gAWrTWx8awvgtTWhQAdpzmfgshhBBCCBF3Ypn4n2M9bjjFek9Yj9eN8No1gAd4bIzrr8VMEvay1rp7THsphBBCCCFEAohl4n+29fjmKdZ7ADPp1q1KqavCC5VStcA3MZ14v2tb/wVgO3CpUup22/rFwE+sp985s10XQgghhBAivsQy8Z9lPTadbCVrkq7bARfwiFLqeaXUw8A7QBXwda31Vtv6QeBjmM67v1BKvaaUehAzcdcS4C6t9V/H/dMIIYQQQggxhcUy8S+2HjtOtaLW+mFMx9mngOXWf28F3q+1vnOE9TdiSokeAOYClwEHgU8Bnx6HfRdCCCGEECKuxGxUH631CZ1vT7H+q8AVDtbfAdzodL+EEEIIIYRIRDFL/BPQHID6+npuueWWWO+LEEIIIYRIQPX19eH/nON0W0n8x08WQHd3Nxs3boz1vgghhBBCiMSW5XQDSfzHz35Mh+UeYM8k/t1lmBmDO4HNk/h349kyJGZOLEPi5dQyJGZOLUNi5sQyJF5OLEPi5dQyJGZOLWNyYjYHk/Tvd7qhKxQKjf/uiEljmzH4Ba31utjuTXyQmDkj8XJOYuacxMwZiZczEi/nJGbOxUPMYjmqjxBCCCGEEGKSSOIvhBBCCCHENCCJvxBCCCGEENOAJP5CCCGEEEJMA5L4CyGEEEIIMQ1I4i+EEEIIIcQ0IIm/EEIIIYQQ04Ak/kIIIYQQQkwDkvgLIYQQQggxDSTFegfEGbsXWA8ciOlexJd7kZg5cS8SL6fuRWLm1L1IzJy4F4mXE/ci8XLqXiRmTt3LFI+ZKxQKxXofhBBCCCGEEBNMSn2EEEIIIYSYBiTxF0IIIYQQYhqQxF8IIYQQQohpQBJ/IYQQQgghpgFJ/IUQQgghhJgGJPEXYhpSSrlivQ9CCHEmlFKSwwjhkHxphJhmlFJ/A3xdKZUT630RQojToZT6JPBTpVRVrPdFiHgiE3hNEUqp+UCT1roj1vsSL5RSlwFKa/2jWO9LPFBKXQp8G1gMHAJ+GNs9mvqspKIX8Gqt+2O9P/FAKbUU6NBaH4z1vkx1Sql3ARcC39dat8d6f+KBdR77DrAIaAX+X2z3aOpTSs0CvEC/5Bhjk8g5mbT4TwFKqWuAHcAVUoIxNkqpSuAJ4AdKqcWx3p+pTCk1Uyn1F+BJoAgYAPYBvpju2BSmlKpSSv0GMwPji8CzSqkblFIF1uty7hyBUmotsAm4WSklDUsnoZQqAv4I/BNwrhxTJzfsPJYD9GES/+6Y7tgUZp3Hfge8bP17Wyn1GaXUTOt1OeZGkOg5mfxPnxrmW4/XAHNiuSNxJB04bP33V2O5I1OVUsqtlPovYD9wGXAP8E3ABfRIC/bIlFLXARuAG4B+699q4PdYd0m01sFY7d8UN9t6vAg4J5Y7EgeCQIv1338LlMdwX6asEc5jvwL+GWgDOrXWbbHcv6lKKXUFptHiWqAR09iTD/wYuE8plSvnsVEldE4miX8M2a4k66zHG4FLlFKpMdqleFICzMAkZR9QSl0d4/2ZUpRSHwOagH8AngY+BnwSeAjT0n/MWs8Tq32cipRSycBnMS2KnwXO0VqvAs4DtgIfUkp9WymVFsPdnHJsLYfLrMcLgWuUUrmx2aO4UIpJKjqAy4Fr5S7JUEqpW4Fmhp7HbgceADKAbqWUR1quR/QJzDH2BeACrfWlwBLgGeB84MdKqZqY7d0UNF1yMvmyxJDWOqSUKsUcXH1ACHNiWxDTHYsP6ZhbvBus519XSmXGcH+mDKXUjcD/YBL/vwdu01r/TmsdAFYAWVjffWuZiFoKvAu4V2v9S611n1LKrbV+FfNDehT4PPB+pVRKLHd0KtFaB5VS6cAHMRfjPcD7MQmGGMZKMFyYuuu3gS5Mq//cWO7XVGLV8v8Y00hhP4/5MfX9hZia9YC0XA+llJqLuWP5hNb6F1rrfqVUitb6MHAH8ApwE/ARuTiPmi45mST+MWK7svwEJhH7T+BPwFnADfJlHJktbkVAKiYJ24gpK/horPZrKgi3emmt/4Rprb5Fa/09rXWjrUXsMOZk1mFtIy3+Qy20HlvA3AGwklqX1noz8O+YZO0LmIuEaWd466rtO/lxTLnKj61/1cD7rP4409JoLdFa6xBQASRjzv1PYFoZb1FKZUzeHk494XOS1vppzF3Km0Y4jx3BXGAOKqWSE7EO+wzVWo+NEDmP+QC01juB7wIHMUntRTHZwylmOuVkkvhPMKVUjv2kZEvOQkqpEuAWzKghP8HUEDdYy86Owe5OCaPFDCI/mGDKfFxAOyYZA/jKdBzaLRwve6uX1vonWust1utu22vVmLjVWOtNyxZ/pVT5sOfh463RepyllErXWg9az8Ov/xZ4EFPS8j6lVN4E7+qUoZQqs76LIeu5CyLnsmzgI9ZrvwAexbRkX4Opy55WRovVMAVACqaU5XuYjqq3Ayum4wW5LWb289j/aq23Wq8PP4+lA4Va60Hb78K0opSqs/8+2o6zVutxoVIqJ3wes73+JPAboBL4oFJqxmTtc6xJTiaJ/4RRSl2vlHoaeAx4WCl1x7ATF5jkqxn4qtVB6THMFWY1ZlSMisne71gaS8xsJzk3EMAMG/gIpna9Evg727oJVZc33Gjxsr0ebjkL2k502wE/kDodS6OUUulKqQ3A3fYWHFvi0IUp55mHuasUfj3c6t8F/BrTWvZBa72EZh1nL2KShReA/6eUKh6WbBVhLpr+VWu9V2v9OvC/mLtyNymlFk36jseALVZPEI1VUThWSimX7bsYPj812+JVCHwaa6htpVTWpH6AGBglZsW21yPnMdtmOzDJWYGVrE07SqknMMdMpDzM9p08CryDuQM33/66dR7rA/4MvI65MF89SbsdM5KTRUniP86UUnlKqV9iOh+tAMqAq4DvA39QSl1gW30TZgzi39kOwN8AWzA1ZhdMh5afscZs2Jd0NiZJy7ae34mpybtDKXW5UurzwGdUAk5S5eAYiyRmth+ELEz9db7WunfSdnrqyMF0qFwHnB9OwmzJ2D5gJ3Auw1p4wjHUWj+DadGuwsQ9IYfFU0plK6V+ijnO5mF+L5YAXwL+rJS63rb6Icy57Oe2WD6C6Uh4IfBulcB9IkaIlYdorP5ii5XL9l2sxQytGz5H/QKT0H4AU/LzReDLSqnwSEkJ5RQxsx9fI7XmZ2HKFpOJtm5PG1Y52ExMUn9JuDzM9t3rAd4CFLDW/t2zncc2AQ9jjr/LErWhTHKyEyXcj9UUcAVwK+YLdbXWeg5mRJBfAe/FjDtfAmDdonxca92KdXLTWr8F/A5Is94nIU/6w4wpZlara/jklIVJ/I9DJG6/wPx43I25df5FohcGicRJvIZ/xzUwiLkFXMf0U4A5RtIwdfrlMKQlrAXTEgbmInLIj6Etnn+wHj+mlEpK0M6F52JqrJ8CrtVaLwZWAf8KrMHcNZkLpmRMa/261rrJlljswdwq78DcHUnkVsUxxcr6ToZH7skEOjGd8NFa7wDuw/wu34mZbO/jmHKgRDTmmI2wbQOm/G4+pgZ7tHKqRJUN5GHuGn0Uq2+S7TzWhYmrF1OCV23f2BarpzD9Ja7HlE4lIsnJhpHEfxwpM8TfrZir7U9orV8D0FpvwPSk/xOmQ+D3hm9rfWHtScXzwKXAVcqMlpGQnMZMaz1gbToDc4t8UJlxnpdhyg1CmGTuMWCm1rph8j7NxDuNeA0vk/ICz2HqaPMmcdeniusxn7sFM3rPdbYWnPD375fANkxL9YfsG4fjqbV+CTO5VyUmWUlE4c7yn7VKUdDGvwA/w8Txh2qETm+2xOJZzIXUYkwHufwJ3udYGWus8qxRacC02PZjTUCllFqOGT0kgCn5eQmo01rXT9aHmGRjjpl9I6WUx7q4fNxaNNvadjrV+b8HM1RnA+bO5I2271b4PPZnzB23ZZhyu0geYbs43wy8hmkQuXAS9ntSSU42Mkn8x1cGsBIz/FgAIpOPuLTW3Zjh2lowX8Lrh29sSyoOYm4vdWIO2kSemdZxzKwvnRvoUqaT5tcwNf4fBnZhWoKKAU8i3JYb5rSPMev4cmFqsfMwice0GdlHmdkqb8H0c/gWZj6DO7BqZLXWAav1vhfT4grwT+FWbdv7hFts6zEXUD2TsPuTyvqOnY3pPN9vLXPbfgi/BryBGX/+VjVs/HlbYtGM+XHdhWldWzcZ+z+ZHMbqIyo6B4QHc8eyUin1T5hO4x/BHFcDmLlKSobHNhE4jNlH7TGwDUiw33oss7afLuexCsydksOYspQ9wM1YDRDWecyjtfZiOqi2Ap/BzA5t79SabP3nJusxESd0lJxsBJL4jxPrC9WN6fTXh7mNi9Y6aF05eqwygq9bm/yrGqHjlu2L+Rfgr5iax/cmYkvZacYsU5sZZyswdaEPAd/AJGBXa63rMC2xK4HP6QQateY045Vt3946kb1iLfqQtX3CxOgUrsbUvD6qtf425tbvPEziGm7BCZ/of4+5vVuDmSNiFoAyY2GHW2znYzpKJ1RiZtW29mMSq0HMXY3wcRa0Xm8H/guTLHweWwdC2/uEz2UvA3/EJGjvty7AEsJpxOoLREsFqq1/DzL0HLYEc+wp4G8wJQYJ40yPL9txtcN6vMXafrqcx87HlDc9gSlvfRjze/hhFR3VLnzh/QTmDmYx8I9YFwdKqVQdHbFsufWYUPGTnGx0kviPE6uFKwPTgrGYE1tTwwnFXZhptBdirhztLYjDa/R+DezGtAIl3G2404zZx63XOjCd45YAX9Zaz9Zah2/9fjv8GE7YEsGZHmO2W+GPYn5065RS06I+1mpJXIi5KAzf1v0RprXnk1h1wsNqsO/ExPFm4J+VUtXaGgtbKfURzPjXf9Favz1Zn2My6OhkXIeIzi5rP0bCScUDmA5zNVgXkfbjyHYu68eUHbwMvBvT8p8QTjNWH1Wms2UjpqRnISeew+7F1P5/kQQaRhBOO2Y3h9ex3U16FlOSt1iZyb4S/jxmqcZ8l75pNUL8BtOR93rgonCfI9t57GeY0X8uBb6llFLhklml1AeBazEXEesn92NMLMnJRieJ/zixDoxOzLTiYKYYj7RChK8wrdfCZQRftb6k/uE/mNbjM5gavVLMD0RCOc2Yfcl6fBj4IVChtf6W9X7J1naPYX4w/oQZ1iwhnGa8vjLSMYZJ/isxI9skJ3J9rIqOznAP8B9Ai7XsJcyPZh7wt+EWnHCLvtZ6O6Y16BnMif4xpdRdSqlHMCNCtGE6YyZUwmFL1sOzYn8ShpyX7MfZTzGtsp9WShWEfyTD76WHjiDyCKbVzV7SEddOI1ZezARB6Zi7ld9m5HPYS5iO0b/CTFCYME7z+PqU/fiyHT/3YUqmrlZKpSX4eSz8vfor5rx0yDqPbcYk9knAbURLF8PnsQPA/7XWOQ94Win1sFLqeaLH5C+tEqFEO49JTjaChDj5TrQx/kiFD5KfYEabuVYptc7aPjwOcfiAewozXnEZZui2Ezom2f7mdwGltb77zD7F5JrAmFUopa7XWv+L1voLWusOpVSS9SUftH2Rb9Zav1+bOscpbzKOsTCrtecFzGghH8O61R5vxpo86mid5pta62d1tK8DmB++ekyMLgmf7MPvrbV+GTO1/d2YTuPhlv43gYusi8y46Vjo8If9t5g7Qxcopa6xtk+CIcfZBkxCn4uJzcn+5m+BWVrrb+s4GAVpgmL1V8yF5k1a619prb90knPYl7XWt2kz5npcmKzjy3b8vIy5AL8ZM/Nx3BlrzGzJ506t9YtWjMLb/hHTkX4dZujc8PCe4fPYAcwF5z9jyqvOw9wtfx24UJvZ3uPmPDZGkpONQhL/USil8pVSc5VS2XroyCgjfkl1tDaxCzPVM1i1Y/YradtJ/ZfWY9VI72tLVvZqrXeP1+eaSJMYs3nWcre1vd92Ugx/kX3j/fnG22QfY8PeeyOmnOAb1o9CXHAas9GE46XNkJO/sBZ/HitW4fdWpg60XWt9O7AIczv4XK31ZVrrbePxmSaaUqpcKfUuGNsPe7glzLpoDs+K/R3rtXD/Bvtx9t/RRUNKyiLvZz02adNJbsqaxFgtDSe5JzmHhWuwp7QYH1+7MYndp6y7SnHBacxGYztWGjBlKG2YcpWl1vLwecyttfZqrf8NUzq2ALhAa32FtmZGnuqUUkVKqYuVUsuUUkW25ZKTOSSJ/wiUUt/A1Mw9DexSSn1LKeVkyL6fYSYBepdS6nZrWfjKO9yBpsN6LLWWx/WVdoxiFoyHlsORxOoYsyUXh7XWn9CmjjYunG7MTnJREF5+D2aI07XA+1R0tIshHQa11ke11nu0ubUeT97A1PZGLpjHsI0LQGt9j7X9HKXUV+wr2GLTg6mXzbQnbnFq0mMVr+cwm5gdX1rrNm3u/sbNecziOGajraOGlgD9BXPn4/1KqUgpiv0YsxoymrQpZYwLSql/w3TmfhR4G3hTKXWnsvX5OIVpl5OdjCT+NkqpWcpMg/1PmLrCHZie7n+PmX1x9UgHQ/iLZ7sibAe+bL38PaVUTfjgUtEZ9MLj0R+bqM8zGSRmzki8nBuHmIWs50POd8NahH5ivfdnMaOpxD2llEeZfgtJmHKu8C3sURNNZeqnXcMSrM9Zj99QSl0YbiGzHWcuosPrxmWNsMTKOYmZc2cYs3Dr/ZAJ3aw7KG5thiH+DWZ4zw+RABPmKaUWKqVewQzvehTz+f6AmXfg/2D6sI06j8h0/L0cC0n8h7oGuAT4OXCl1voqTB3cv2OuAu9WSp0TXtn6QrptiUWFUupzSqkLtdZ/xZQQZAB3hVsmtdY+ZYbc+oL1Ni9O0mebKBIzZyRezo1LzIDzRkgcwndAHgTux4wg8lk1wrBu8cRKFAKYsrgczJjw1yilzrVeP+HcH46ZlUhUKKXuUErdpLXeiKkNTsKMiHQdRI6zSiDcUvtIPLaSSayck5g5N04x+xxmIrwhE0jZEtz1mE7heZgO0bUT+Zkmwccxszj/HHiPdZf6JkyH8GbgdqzOzGHye3lqrlAobr9H404ptR3TiWiF1rrZOoCC1hfyZ5jOMQ8AX9Na77Jtl45JTm7FTA/9oNb6RmXq0H6AuarvwNSQDWKmKr8AM2LD3+o46rw1nMTMGYmXc+MYsz8Ct2kzooj9/T3a1Hyeg5nj4DCwRmvdNAkfb0Ippb6PmaRsH2b4258Cf6+19qoRbpOPELNnMMP9pWDGAf8ikIxpeesCVmCOtfuBT2utj0/8p5oYEivnJGbOjUPMngRu0Vq3DlsvfF5cgBk+Nx0zAMGeif1EE0OZiRO3AJsx/apCKjrijhtzTFwPfFJr/T/h87i17bT9vRwLafEn0kJYhhlqrl2b2SbtpQBBzNCRT2Gmyr5BWbMvKqUuwJQJ3IM5wL4HfNDavhVzFfklzMH1D5jWi7Mxwwp+PF4PMImZMxIv5yYgZh8envRb7xfuIPc6cBUwJ0GS/iWYyY02YhKqekxr6pWjrL8acyH1S6Ixu0pr3a/NsHjfwEwoVQ98FFOisQgze+hN8ZyUSayck5g5N04xu2Z40g9DWv13YEZAqonXpN8yAzN5XYOOjqXvt5L/INGW+cUQPY8rpc5jGv5eOjHtWvytL14AGLB/KZSpK6zHDNl3gdZ60/Crb6XUBzDjd7dgpsB+E3NlfRnwGGam2P3Wukl66AgFNZjZ9fKBt7XWcTO+vMTMGYmXc5MYs0ir0LC/P9ZOYlPGaDGzvf5/MONT34FpQf0CZjzvh4DPaK2PhT+3MqVN38XcPXkc+OxJjrNczI9yAbArHi6SJFbOScycm8SYJfx5TClVhxludCPwMa31oWHb/TvwVeCLWuvvW8vyMLNeX04C/16eqWmT+CulFmKGdDofU9ebjekB/29WMuHB1JF9CPg0cJ+O1omFv4iFmKvC24H/1Fp/VSl1E3BMa/2cta4HCOn4H6lBYuaQxMs5iZlzp4qZtY4b+BTwfuBibUqZlmKGRlwG/KPW+qfWuuE4Xgl0aa1fsZbHfcwkVs5JzJyTmDl3kpj9u9b6bWVKfb6NGaL0H7R1x8cWm7sxE5bdqrW+T0VLnW4Bjmitn7fWT5iYjZeET/xtX7bvYIYE24yZKnwB5hbRO8B1Wuv9SqnPYm4L3Q/coUe4naaUugrTQaQduFxr3Wh7bcSr8HgjMXNG4uWcxMy5Mcbseq31Pmv9ciBfm1v/KDNM6a2Y8qi3MLWxO4a3hFnrxnXMJFbOScyck5g5N4aYbcN05D2gzOg7B0Z4j2xgF6aj7kqt9a6R7nYkSszG23So8a/D1HB1Ardrrc/Vplf4Gsx44IsxLYVgZm7biam5GzI+uIqOBvIippRgIdYkGWrYbIMJQGLmjMTLOYmZc2OJ2W3hlbWZdyCcYLi0mRDqacxMqGuI1r2eMPZ+AsRMYuWcxMw5iZlzp4rZIkx5U3jG4XCrvf18vwozotvLIyX94fUSKGbjKmETf9sBcjNmvNw7tNb/a72Wpk0Hjm9a63xEKZWitX4H+BOmQ8lnrKtzYMhYuT3Aw9biK63X4n3SGkBi5pTEyzmJmXMOY3arGjbONwyZPfcAZobPVswkP+uG/Y24JrFyTmLmnMTMOYcx+6g9Zjo6AEM4ub/IenzZekyyx2t4y78YKuESf+s2kv1//DLrsdl6PTxVOJih+zRmKLE51rK7gFcxo3t8QFnjeQ/7Em6yHrvsfzNeScyckXg5JzFz7jRjloqZi2Ck9wvH6lXMWN/zgA8ppTKtC6i4TTQkVs5JzJyTmDl3BjGbNcr7FQE3Aj7gCeu9B6145Sul1imlKibisySKuP5hDFNKuZVSJSo6xF/k1hBwBDMjWyGccOunGjOJRghrtjZtaoN/jDko/45o66G9c8hi6zF8QMddpxGJmTMSL+ckZs6NU8zaRnpvWwtjK2ZOg3rMGOpX2V+PFxIr5yRmzknMnBunmA2fpyB8EbQSc4H0AqYPBcoM/XwFcDembOqKeG/4mUhxHxil1K2Yq8QngeeUUl9XSuXaDqa9mANtpCQgGTODngZ8tgPzT5jONvnAt5RS77X9vXMwE400AL8d/0808SRmzki8nJOYOTeeMRvDn9sM3IsZMvFzSqkZZ7Tzk0xi5ZzEzDmJmXMTFTPbRdAa6/Exbcb1X4kZ/OE3mH5gjwP3x2PDz2SJ28Tfupr8PWZii2rMZzkH+FfgfqXUxdaq92Fmr3vItm34yvF8wIMZw7Vbm+G1XFZt8M+Af7Le+1dKqeeUUo8Af8B0ILwH2BtPt+IkZs5IvJyTmDk3ETE71d/UWvdibpNvx/zAek++xdQgsXJOYuacxMy5yYiZMhM0rrCetiulvoBJ+O8AdmNG+HnfWOI9nSXFegfOwOWY8XDvB+7UWm9RSi3HzIr3BWCuUmqVtiZlsG77hKzSgJAyw2hdZr1XeKzvyG0pbcaM/YFSqhfT034t0Accxcwi+IfJ+qDjSGLmjMTLOYmZcxMas5PYAVyrtT44/h9pwkisnJOYOScxc27CY6a19iozSReYBqDZmHLQW7TWcXmnNxbiYhx/deJQTUmYA6MOqNPDxvVWSj0AXI+5svy01rp/hPechZkVzgucq7U+rGxjvqqhtWnJQC5QqbXeMiEfcpxJzJyReDknMXMuFjGLVxIr5yRmzknMnItVzJSZ1fmvwHmYfgDf1Fp/bdw/YIKLi1KfYQeYC8gDlmA6zAxYy90qWgv8j5jJHT4C3KBG7uRxDVAEPGodYC5bcrEAc3Uavv3k11q3xktyARIzpyRezknMnItFzJQRN6VPYRIr5yRmzknMnItBzBYqpeZrrTsxLfyPYRp8JOk/DVO61EcptQh4LzAIBDAdX1q11q1KqUOYjiCVwE5bK6BLa71PKfU94KfAFzEdTQ5YrydZ7xUeB/YxiIwHXga8D/h7TL3Yh4AW+0E+1UnMnJF4OScxc26qxGziP+mZk1g5JzFzTmLmXIxjdkCZkXtu1lqPpbO0GMWUTPyVUjnAt7Fmb7O5BTOk38+Ag5gh/WYAO9WJ0zX/CnMFeRWmp/f3lSkT8CulSjEzv3UA65VSqZghtG4FrsCMA/6A1jpuvpQSM2ckXs5JzJyTmI2dxMo5iZlzEjPnpkjMfq+j4/2LMzDlSn2UqfO6H3OAPQbcDlyN6Sm+APiJUqoSeBSz/x+zb6+jM3l6gZ9biz+rhnYSWQWUA29gpof+b8xoIFcA3weKtdY/m7APOc4kZs5IvJyTmDknMRs7iZVzEjPnJGbOScwSz5RJ/FW03u1y4FLM1eGtWuu7tdaPa60/AXzXWufrmE4i3ZhZPFdaB1cSRCfu0Vr/FXgJqMXcLgoLH2xLMZNmfAwzGcRcrfUXtdaDE/U5x5PEzBmJl3MSM+ckZmMnsXJOYuacxMw5iVnimjKJf/iqkOitpG9pUzfmCR88mCvMfuAcrXUf8F/W8m9b7+EPv59tm59Yj3W2A7nQeiwBeoGrtdZXaa33jvsHm0ASM2ckXs5JzJyTmI2dxMo5iZlzEjPnJGaJa8ok/tYBkI75n94IdFo1YgHbwZOD6TySZj2/E1NXdr5S6qP297Nt02Y9pupovdnrmLG/v6C1nq+1fnxCPtQEk5g5I/FyTmLmnMRs7CRWzknMnJOYOScxS1xTJvG3DoDwvwpgTvigUNGhnwKYGe06lFLZ1ut/Z732LaXUsvAVpDJjfAOkWo994ffSWmugQGv9w4n+XBNJYuaMxMs5iZlzErOxk1g5JzFzTmLmnMQscU2ZxB/AulX0c0yt2B7bS+GrwhVABrBVW1Mya63/jLl1VITpBHK5tXxQKTUXM35sP2YqbHutWUIMByUxc0bi5ZzEzDmJ2dhJrJyTmDknMXNOYpaYptxwnlrr3wG/G7YsfJCdaz0+BaZmzLp9dCfmyvNzwFlKqd9Yz1cBZ2PGjt0x8XsfGxIzZyRezknMnJOYjZ3EyjmJmXMSM+ckZonHFQpNzTlw1IlTNc8E1gO5wAKtdZO1PEmbcWBTgU8BnwbmYa5IWzEdUr492fsfCxIzZyRezknMnJOYjZ3EyjmJmXMSM+ckZoljyib+YVb9V1Ap9UHg15ixYt8LYD8IbesXYsaDLQQ2azPF87QiMXNG4uWcxMw5idnYSayck5g5JzFzTmIW/6Zcqc9wOjrBw3sAD/DUsKvOSuDjmAPqYeC41rrtxHeaPiRmzki8nJOYOScxGzuJlXMSM+ckZs5JzOLflE/8AZRSZZiZ4gaA31vLMjEH3keByzD1Yg/bas+mNYmZMxIv5yRmzknMxk5i5ZzEzDmJmXMSs/gWF4k/sBwznuzDWuvjSqnLgJuBDwApwJ1a66/HcgenIImZMxIv5yRmzknMxk5i5ZzEzDmJmXMSszg2pYbzHE5FZ3WrwFykVCil7gTuBW4BHgdmygEWJTFzRuLlnMTMOYnZ2EmsnJOYOScxc05ilhimdIu/7RbRLOuxDlgNbAc+pLVeH4v9msokZs5IvJyTmDknMRs7iZVzEjPnJGbOScwSw5RO/G209RgAPq21/nksdyZOSMyckXg5JzFzTmI2dhIr5yRmzknMnJOYxbF4Sfy3Al8Gfqi1Hoj1zsQJiZkzEi/nJGbOSczGTmLlnMTMOYmZcxKzODblx/EXQgghhBBCnLkp3blXCCGEEEIIMT4k8RdCCCGEEGIakMRfCCGEEEKIaUASfyGEEEIIIaYBSfyFEEIIIYSYBiTxF0IIIYQQYhqQxF8IIYQQQohpQBJ/IYQQQgghpgFJ/IUQQgghhJgGJPEXQgghhBBiGpDEXwghhBBCiGlAEn8hhBBCCCGmAUn8hRBCCCGEmAYk8RdCCCGEEGIakMRfCCGEEEKIaUASfyGEEEIIIaYBSfyFEEIIIYSYBv4/l9hjQFn6BPEAAAAASUVORK5CYII=\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
       "image/png": {
-       "height": 246,
-       "width": 390
-      }
+       "height": 248,
+       "width": 383
+      },
+      "needs_background": "light"
      },
      "output_type": "display_data"
     }
@@ -600,36 +600,27 @@
     "# Total risk time series values\n",
     "pd.DataFrame( {'base_pvbp':base_test.strategy.risks['pvbp'], \n",
     "               'hedged_pvbp':hedge_test.strategy.risks['pvbp'],\n",
-    "               'beta':hedge_test.strategy.risks['beta']} ).dropna().plot()"
+    "               'beta':hedge_test.strategy.risks['beta']} ).dropna().plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 12,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f29855c9f10>"
-      ]
-     },
-     "execution_count": 13,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
       "image/png": {
-       "height": 259,
-       "width": 381
-      }
+       "height": 262,
+       "width": 383
+      },
+      "needs_background": "light"
      },
      "output_type": "display_data"
     }
@@ -637,19 +628,19 @@
    "source": [
     "# Total bid/offer paid (same for both strategies)\n",
     "pd.DataFrame( {'base_pvbp':base_test.strategy.bidoffers_paid, \n",
-    "               'hedged_pvbp':hedge_test.strategy.bidoffers_paid }).cumsum().dropna().plot()"
+    "               'hedged_pvbp':hedge_test.strategy.bidoffers_paid }).cumsum().dropna().plot();"
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Example 2: Nested Strategies"
+    "### Example 2: Nested Strategies"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": 13,
    "metadata": {},
    "outputs": [
     {
@@ -860,31 +851,22 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 15,
+   "execution_count": 14,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f29840bdd50>"
-      ]
-     },
-     "execution_count": 15,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
       "image/png": {
-       "height": 263,
-       "width": 396
-      }
+       "height": 266,
+       "width": 395
+      },
+      "needs_background": "light"
      },
      "output_type": "display_data"
     }
@@ -895,36 +877,27 @@
     "               'hedged':hedge_test.strategy.values,\n",
     "               'top':base_test.strategy['TopStrategy'].values,\n",
     "               'bottom':base_test.strategy['BottomStrategy'].values}\n",
-    "            ).plot()"
+    "            ).plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 16,
+   "execution_count": 15,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f297eebc110>"
-      ]
-     },
-     "execution_count": 16,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
       "image/png": {
-       "height": 246,
-       "width": 390
-      }
+       "height": 248,
+       "width": 383
+      },
+      "needs_background": "light"
      },
      "output_type": "display_data"
     }
@@ -935,36 +908,27 @@
     "               'hedged':hedge_test.strategy.risks['pvbp'],\n",
     "               'top':base_test.strategy['TopStrategy'].risks['pvbp'],\n",
     "               'bottom':base_test.strategy['BottomStrategy'].risks['pvbp']} \n",
-    "            ).dropna().plot()"
+    "            ).dropna().plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 17,
+   "execution_count": 16,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f297f012cd0>"
-      ]
-     },
-     "execution_count": 17,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAwwAAAHsCAYAAAB/pCrQAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAAWJQAAFiUBSVIk8AAAADh0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uMy4xLjAsIGh0dHA6Ly9tYXRwbG90bGliLm9yZy+17YcXAAAgAElEQVR4nOzdd3iUZfbw8e8zLZMyk0x6CC0gSBEhAVFBadIUCwgKAkqzvbbfrmUtqwiCorKLIhZwXQRpiqugYEGkKigKQWzYgNACISGZ9MmU53n/mGSYIQmQkArnc125mHnqPTEmc+a+zzmKpmkIIYQQQgghREV09T0AIYQQQgghRMMlAYMQQgghhBCiUhIwCCGEEEIIISolAYMQQgghhBCiUhIwCCGEEEIIISolAYMQQgghhBCiUhIwCCGEEEIIISolAYMQQgghhBCiUhIwCCGEEEIIISolAYMQQgghhBCiUhIwCCGEEEIIISolAYMQQgghhBCiUob6HsD5TFGUfYAVSKvnoQghhBBCiHNbSyBP07Skqp4oAUP9sgYHB0e2b98+sr4HIoQQQgghzl27d++muLi4WudKwFC/0tq3bx+5Y8eO+h6HEEIIIYQ4h3Xt2pXU1NS06pwrOQxCCCGEEEKISknAIIQQQgghhKiUBAxCCCGEEEKISknAIIQQQgghhKiUBAxCCCGEEEKISknAIIQQQgghhKiUBAxCCCGEEEKISkkfhkZCVVWys7PJz8+npKQETdPqe0iiEVEUhaCgICwWC5GRkeh08lmBEEIIIc6MBAyNgKqqHDx4kKKiovoeimikNE3D4XDgcDgoLCykWbNmEjQIIYQQ4oxIwNAIZGdnU1RUhMFgID4+ntDQUHmzJ6pEVVUKCws5evQoRUVFZGdnEx0dXd/DEkIIIUQjIO86G4H8/HwA4uPjsVgsEiyIKtPpdFgsFuLj44ETP1NCCCGEEKcj7zwbgZKSEgBCQ0PreSSisSv7GSr7mRJCCCGEOB0JGBqBsgRnmVkQZ0tRFABJmhdCCCHEGZN3oEKcR8oCBiGEEEI0LJrTiebx1PcwKiQBgxBCCCGEEPWoKHUnf/UfwO/dLiHj+RdwHz9e30MKIAGDEEIIIYQQ9aT4xx85eOeduI8dQysuJnvBAv4aMJBj/56FOyenvocHSMAgGpm0tDQURWH8+PH1PRQhhBBCiGrTNI2c99/nwISJqAUFgfuKijj+n/+wp/8AMue8iqegsJ5G6SUBgxBCCCGEEHXIeegQByZO5OhTk1ELvcGAPiKC+ClPE3Thhb7j1MJCsl57jT0DB5K9aDGa01kv45WAQQghhBBCiDqgqSrZi5ew9/obKPrmW992U4sWNF+4ANuoUSSt+JDEl1/C1Lq1b78nO5uMZ59lz5BryV39CZqq1um4JWAQQgghhBCiljnT0th/621kTJ+OVlTk3ajTETlpIkkfrcRcOrOg6HRYBw+m1ccfkfD8DAxNEnzXcB08SPrDD7NvxAgKvt5SZ2XSJWAQjdZvv/3G0KFDiYyMJDQ0lCuuuIIvvvgi4Jjc3FxmzpxJv379aNq0KSaTiZiYGK6//nq++eabCq/71Vdfcd1119G0aVOCgoKIj4/nsssuY+rUqeWOLSoqYsaMGXTp0oXQ0FDCwsK4/PLLWbZsWa28ZiGEEEI0TGphIcdmzyZt5Cj23jCUPYOv5s9+/fij5xX83u0S9lwzhOIdO3zHB7W5gJbvLiPukUfQmc3lrqfo9UQMHUrrzz4j9tFH0YeH+/aV/Lqbg7ffTtpNN5P36adobnetvjZFGjjVH0VRdqSkpKTs8Pvhqcju3bsBaN++fV0Mq0FLS0sjKSmJXr168eOPP9KpUyd69uzJkSNHeO+993A6nSxdupSRI0cC8O2339KrVy969epF69atsdlsHDhwgI8//piSkhJWrVrF4MGDfdf//PPPGTJkCFarleuvv57ExESys7PZvXs3v/32GxkZGb5j7XY7/fr1Y+fOnaSkpNCjRw9UVWXNmjXs2bOHf/7zn0yfPr3Ov0enIz9PQgghRM3K37CBo9Om4U4/cvqDDQai77yDqLvvRmcynfE9PHl5HH/rv2S/8w6awxGwz5iYSOS4cUQMvxFdaGiF53ft2pXU1NRUTdO6nvFNS0nAUI8kYKi6soAB4OGHH2bmzJm+fdu3b+fyyy8nLCyM/fv3Y7Vayc3NxeVyER0dHXCdQ4cO0b17d8LDw33fX4Dhw4fz4Ycf8sMPP9C5c+eAc7KysgKuM378eBYuXMgLL7zAP/7xD992h8PB0KFD+eKLL0hNTaVLly41+j04W/LzJIQQQtQMV8YxMp57jvw1a87o+ODkZOInP4X5LP4GuzKOkTX3DXI/XIFWUhKwT2e1Yhs1CuuQawi64AIUvd6372wCBkO1RysajJaPfVLfQzhjac8PqZHrhIeHM3ny5IBt3bp1Y8yYMSxcuJAVK1Ywbtw4wv2m7/w1bdqUESNGMGfOHA4cOEDz5s0D9gcHB5c7xz9YOH78OIsXL6Zbt24BwQKA2WzmhRdeYM2aNSxdurTBBQxCCCGEODuaqpLz7rtkznopoCSq3mYj9qEHMXfsiBIUhGIKQhdk8j4OCkIXFHTW9zbGxZLw9NPE3HcfOUuXkbNkCR67HQA1L4/jb77J8TffRAkJIfiiiwjufDHmiy8+q2VLEjCIRiklJQWLxVJue58+fVi4cCE7d+5k3LhxAGzZsoXZs2fzzTffcOzYMZwnlSQ7fPiwL2AYM2YMH374IZdeeikjR46kb9++9OzZk6ZNmwac8/333+PxeFAUhSlTppQbh8vlAgiYvRBCCCFE4+c+fpxD99xL8a5dAdvDhw0j9h+PYLDZ6mQchqgoYu6/j6jbJ5G7ciXHFyzAtf+Ab79WVETRd99R9N13AJSk7av+vc56tELUg7i4uAq3x8fHA95kZ4AVK1YwYsQIzGYzAwYMoHXr1oSGhqLT6di4cSObNm2ixG8678Ybb2T16tX8+9//Zv78+cybNw/wTuPNmDGDAQMGAN4ZBvAGDt9//32l4yw4qRGLEEIIIRq3o9OmBwQLppYtiZ86ldBLu9fLeHTBwdhuuYWIm28mf9068latpnjXLtzHjtXYPSRgOAfU1DKfxsQ/+djf0aNHAXxLkZ566ilMJhPbt28vt2b/rrvuYtOmTeWuMWTIEIYMGUJhYSHbtm1j9erVvPHGG1x77bXs3LmTDh06+K7/97//nVmzZtXkSxPnCXd2NsfnvYnz8CEAFEXx26ugs1qIGD6ckJSU+hmgEEKIclwZGeSvXet7Hn3PPUTddWeNLDU6W4pej3XgQKwDBwLgOnqU4l0/UrxrF8U/7oID+6t9bQkYRKOUmppKfn5+uWVJGzduBCA5ORmAv/76i44dO5YLFlRV5euvvz7lPUJDQ+nXrx/9+vXDZrMxefJkPvvsMzp06ED37t3R6XR89dVXNfeixHkla+5cct5ZdMpjcj/4kLC+fYn5298wX9i2jkYmhBCiMvbl74PHA0BI9+7EPHB/PY+ocsb4eIzx8VgHeQMIc0oK7NxZrWtJHwbRKOXm5vLMM88EbNu+fTtLliwhPDycYcOGAdCyZUv+/PNP0tPTfcdpmsaUKVP49ddfy1138+bNuCtICiqb0QgJCQEgNjaWMWPGsH37dqZNm4an9JeHvz179rBvX/XXC4pzm+Onn8/ouIING9g3dCjpjz6K89ChWh6VEEKIymguF/b33/c9t90yqh5HUw0BM9lVIzMMolHq1asXb731Ftu2bQvow6CqKvPmzcNqtQLeJUN33303ycnJDB8+HKPRyJYtW/j111+57rrrWLVqVcB1H3jgAQ4fPkzPnj1p2bIlJpOJHTt2sH79elq0aMGoUSd+Obz66qv8+eefTJ48mUWLFnHFFVcQFxdHeno6u3fv5vvvv2fZsmW+MrBC+HMdPux7HD91KnpbBJRVudZU8tetJ2/1atA00DRyP/qY3E8/wzZyJNF334XhpFLBQgghalf+hg2+vAB9TDSWq66q5xHVHZlhEI1SUlISW7duxWazMXfuXJYvX05KSgqffvqpr2kbePMU3n77bRISEli4cCFLliyhWbNmbNu2jZQK1oY/8cQT9O/fn19++YW33nqLuXPnkpGRwRNPPMH333+Pza/ygdVqZdOmTcyZM4fo6Gg++OADZs2axYYNG7BYLLz00ku+JGkh/KlO54lkNJ2OiGFDvetOB5V+DR5M4swXSVrxIWG9e5840eUiZ/Fi/howkIwXXsSdmVk/L0AIIc5DOcuW+R5HjBiBUoWma42dNG6rR9K4TdQH+Xmqf860NPYMvhoAQ0ICbTasP+XxRdu3c2zWSxSnpgZsV4KCsI0aSeSkSRhjY2ttvEIIcb4r2buPvddc432i03HBui8xJiTU76Cq6Gwat8kMgxBC1DGn33IkU2LiaY8P6daNFksW03TuGwT5BXpaSQnZC99hT/8BHJ3+LK5KqocJIYQ4O/b33vU9Duvbt9EFC2dLAgYhhKhj/vkLxjMIGMBbdtXSpw9JH35A09dfw9yhg2+f5nSSs3gxe/oP4MjTU3AePFjjYxZCiPOVWlyMfcVK33PbqEaW7FwDJGAQQog65jp8omrXmQYMZRRFwdKvHy0/+B9N576BuVMn3z7N5cL+3nvsGTSYw4/8A8cff9TYmIUQ4nyV9+mnqHl5ABibNye0Z496HlHdkypJQghRx6ozw3CyshmHsN69Kfz6a7Jefe1E51FVJW/VKvJWrSKsXz+i77qT4M6da2LoQgjRIJTs24dWXIwSFIRiMqGYglBMRnRBQSjBwSc1wzw7OctOLEeyjRyJojv/Pm+XgEEIIeqYy6+fQnUDhjKKohB25ZWEXnEFRdu+4/ib8yjc+o1vf8H69RSsX49lQH+aPP88utDQs7qfEELUtyNTp2L3exN/Mr3NhqV/f6xDriHkkktQ9Ppq36v4p59w/Oztm6OYTITfOKza12rMzr8QSQgh6lnADEPTswsYyiiKQuhll9J8/nxavr8cy4D+Afvz137J/vETcGdn18j9hBCiPmiaRu4HH57yGE9ODvb33+fA+An82bsPR5+ZRtGOHWiqWuX7+c8uWK++GoNfefXziQQMQghRh9SSkhP9E3Q6jHFxNX6P4E6daDpnDq1WfYz1uut82x0//cT+0WMCAhYhhGhM1NxcNKfT+0Svx9SqFcbERAwxMejCw8v1RvBkZZGzdCn7x4zlr35XkfHCixT/8gtn0lbAk5tL3ief+J43us7ONUiWJAkhRB1ypZ9IeDbEx6EYjbV2r6A2bUic+SIhKckcfWYaaBrOtDTSbhlNs7f+g7lt21q7txBC1Ab/hpWmZs1o/eknAfs1VaX4h13kffopeWs+x5OZdeLco0fJfvttst9+G1NSEtZrhxA+ZAimli0rvJd9xQq0khIAgjq0x3we54JJwCCEEHXIv0KSKbFpndzTdsst6G2RpD/yCJrLhfvYMfaPvZVmc98gpIKO50II0VC5s04EAIbo6HL7FZ2OkJRkQlKSiXv8MYq+307ep5+S/8UXeOx233HOffvImvMqWXNexdypE+Z27fDY7XhycvDk2nHn2PH4LeG0jRpVo4nUjY0EDEIIUYdqokJSdVgHD0IfEc6he+9DLSxEzcvjwISJJDz7LMYmTfDYc/BkZ+POzin9g5mLotd5Z0AMBhSj0fdljIsjrHdvDDExdTZ+IYSAwBkGQ+ypfwcpej2hl11K6GWXEv/UkxR+8w25q1eT/+U6tKIi33GOn37C8dNPlV5HFxZG+LXXnv3gGzEJGIQQog7VV8AAEHrZZbRY9A4H7rgTz/HjaCUlpD/8cPUupigEJydjGTAAy4D+mJrWzWyJEOL85vZbYqSvYIahMorRSFivXoT16oVaXEzBhg3krv6Egq++Aper0vP0kZHEPfoPdCEhZzXuxk4CBiGEqEM1WVK1OswdOtBy6RIO3H4HrrPpCK1pFKemUpyayrEXXiCofXss/a8i5JJLMLdrh95qrblBi/OO5nJx/L//BUWHbfQt6C2W+h6SaCACliRVc5ZTFxyM9ZprsF5zDR67nYLNm/EUFGCw2dCXfUXY0Nsi0J2URH2+koBBCCHqUH3OMJQxtWhBy6VLSH/ySZx796GPiEAfacNgi/T+oYy0oQ8PB7xv3AK+HCUU79xJ0Y4d4FeisGT3bkp27/Y9NzRJwNymLUEXXkjQhW0JatMGU8uWZ/zHV9M01NxcXBnHcB/LwJ2RgSsjA3fGMTTVg+Wqqwjr3fu8bKB0Psic8yrH33wTgOxFi4h9+CHCb7jhvF5DLrwCliRFn/2ySH1EBOHXX3/W1znXScAgGpW0tDSSkpIYN24cCxYsqPP79+nTh02bNp1ROba61LK0wkNaWlq9jkOcnjO9/gMG8H4y13zevGqf787OpmD9evLWrqVo6zdoJ03pu9OPUJB+hIJNm05s1OsxNW2KqXVrglolYWrVGmOTBNyZmbgOp+NK9/s6cgStuLjS++f+7wOMLZoTOWYs4TcOQx8WVu3XIhoWV0YG2QsX+p57srI48tjj2Je/T/xTT2Ju374eRyfqW03MMIiqk4BBCCHqiOpwnCjxp9djjK/5Hgx1xRAZScSIEUSMGIGnoICCTZso3LIVxy+/ULJ3b8Vrgj0enPv349y/n4L1Zz8G1/4DZDz3HMdmzSL08ssJ69cXS//+521jpXNF1quv+kpZ+itOTWXf8BHYRo0i5v8e8M2CifNLwAxDzJnnMIizIwGDEELUEVf6Ed9jY3w8iuHc+BWsDwsjfIi3njl4lzE509Jw/P4HJb//Tskff1CyZ493OVYVZud0ISEY4uIwxMVhjIvFEOt97Dp8GPsHH6Dm5Xnv53BQsGEDBRs2kPHcDKImjCdy4iT0YaG18npF7SnZuxe7XxffxDmv4Ni1i+ML3/EGoapKztKl5H3+ObZRI7H0709Q+/ayVOk8IjMM9ePc+GslhBCNQEPIX6gLitFIUJs2BLVpA9cO8W1Xi4txpqVRsmcvzr17KNmzF3dmJoaYGIxNmni/Epv4Hp8qcTrm/vvI/XgVOUuXUvLHH77tWnExWa+/Qc677xF9zz3Ybr6pXOdX0XBlvvSSLzcmtMflWAcMwDpgAOE33kjG9Gcp3LoVAE92Nlmvv0HW629gTEzE0v8qLAMGEJycjKLX1+dLELVILSlBzc31PjEY0EdE1O+AziOSLSYarbS0NEaNGkV0dDRms5lu3bqxevXqCo9dtmwZffv2JSIiArPZTPv27Zk+fTolFUx7A7z77rt07dqV4OBgYmNjufXWW0n369B7spKSEqZMmUKrVq0ICgoiKSmJJ598kpKSEhRFoU+fPuXOcbvdvP7661x22WVYrVZCQkJITk7m1VdfRfVLJi2jaRqvvvoqHTt2xGw2k5iYyH333Udu2S9P0eCdLwFDZXTBwZjbtyf82iHEPPAATWe/TMulS2g6+2XiHv0HkbeOxdKv3xlVWdKFhGAbNZJWH39E6zWfE/vYowT5da72ZGeTMX06e669jrzPPmtweUd1QVNVXMeOUbxrF3lrvqDwm29wZWQ02O9F8Q8/kL/2S9/zmAcf8j0OatWKZv99i8RXZmNokhBwnuvwYbIXvsP+sbfy55W9OPT3v3Ns1kvY//c/Cr/dhis9Hc3joSg1lZxly/AUFNbZaxI1y+M/uxAVJUUP6pDMMIhGaf/+/XTv3p1WrVpx6623kp2dzXvvvccNN9zAl19+Sd++fX3HTpw4kbfffpumTZsyfPhwIiIi+Pbbb3nqqadYt24da9euxeC3NOSll17iwQcfJCIigttuu42IiAjWrFlDjx49CK9gzaymaQwfPpxPPvmENm3acN999+FyuViwYAG//PJLheN3uVxcd911rFmzhgsvvJDRo0djNpvZsGED999/P9u2bWPRokUB5/ztb3/jlVdeISEhgTvvvBOj0chHH33Etm3bcDqdmORT1AbvfA8YaoupRQuixo8n8tZbyV21isxXXsFduvzLdeAAh//+IEGvv44hIQHFaELxb0RnMhF0wQWE9boSU4sWp7yP6nRSnJqK47ffMCYmEtKtW53nS6gOB7mrVuHclwYeD5qmgqqB6kFTVbTiYlxHjuI6cgTX0aMV5pLoQkIwtWqFqVUSQa1aEdSmDaE9e6Izm+v0tfjTNI1j//q377n1mqsJvqhjwDGKomAdOJCw3r0p2LSJ/LVfUrBxI2p+vu8YT3Y2+Z99fsp7FX3/PYmzZtXsCxB1IrBCkuQv1CUJGESjtHHjRqZMmcLTTz/t2zZ69GgGDx7MzJkzfQHDggULePvttxk2bBhLliwhODjYd/yUKVOYOnUqr732Gv/3f/8HeGctHn30UWw2G6mpqb7qQzNmzOCmm27iww9PrK0ts3jxYj755BOuvPJKvvzyS98b92eeeYbLLruswvE/++yzrFmzhvvuu4+XX34ZfekUusfj4c4772T+/PmMGDGCG264AYCtW7fyyiuv0Lp1a7777jsiIyN91+nbty9HjhyhxWne7Ij65zpcvz0YznWKXk/E0KFYr76anMVLyHrzTd/yhZI//6Lkz78qPTfjWTC2aE7Ylb0I63UlId27owQFUfLHHxRu2Urh1q0Ubd+O5nAEnBd04YWEdO9OyCXdCLnkEvQREXhyck5UfTp8GFd6Op6cHEytWxHStRvBnS+u1ptzT0EBB++6m+IdO6p8rj+1qAjHzz/j+Pln3zadxYL1mmuIuHEY5osvrvOcgMLNmynavt37xGAgpvR3ckV0QUFYBw7EOnAgmtNJ4Xffk792Lfnr150oKnAKeZ99TvR99xHUqlVNDV/UEclfqD9KQ52aPB8oirIjJSUlZcdpfvnvLq1t3r6yUnJTGlGliClnt3ymrKxqixYt2LNnj++NdpkWLVpQWFhIVukvleTkZH7++WcyMzOJOGmto8fjIS4ujlatWvHdd98B3jfgTz75JJMnT2bq1KkBx+/du5c2bdqgqmrAlH7//v1Zt24dmzZtolevXgHnLFmyhLFjx9K7d282btwIgKqqxMTEYDKZOHjwYMDsBoDdbicyMpIRI0awfPlyAO644w7eeust5s+fz4QJEwKO37hxI3379qVFixZnVFb1tD9PotbsGzkSx64fAWj+zkJCu3ev5xGd2zy5uWS9+SY5ixajOZ1VOlcJCkIXGoonO7tq55nN5YKKcoxGgjt2JLhrCiFduxFySbfTNibz2O0cuP2OgDf5Z0IfEYGhSQLG2Dg8djsle/f6ksUrHV6L5oQPuRbrddcSlJRUpftVh6aq7Bt2IyW//w5AxC2jSPD7MKgq13H8/DMlf+3BdeggzoOHcB04gPPQITzHjwccGz5iOE2mT6+R8Yu6k7NsGUenPgNAxE0jSJg2rZ5H1Lh07dqV1NTUVE3Tulb1XJlhEI1Sly5dygULAM2aNeObb74BoKioiF27dhEdHc3LL79c4XWCgoJ8b6ABUlNTAejdu3e5Y1u1akWzZs3Yv39/wPadO3ei0+no0aNHuXOuuOKKctv++OMPsrOzadOmDdMr+YMVHBx8xuO64oorKvxeiIbHdfhEHoxJZhhqnT48nLhHHiFq0iQcu3d7e0W43d4GdG43mtOFJz+Pom+3UbhtW0DfB62kBE8FOU6mFi0ITk7GuW8fxT//DB5PwP7TBgsALhfFP/xA8Q8/kP3f+SjBwUTfeQeREyeiCwoqd7g7K4sDEycFJHfbxo7F2KQJ6BQUnR50OtAp6EwmDPEJGJskYIyPRxcSEjg+TcOTnY1z715K9u7DuXcP+Rs34tp/4MTw9h8g6/XXyXr9dRSjEQwG7zKu0i+MBgwRNkKvvBJLv76YO3U6q7XkeatX+4IFJTiYmHvuqdZ1FJ2O4IsvJvjii8vt8xQUUrxjOwfvutt7z48+Jub+BzDGxVZ73KLuuTNlhqG+SMAgGqWTZwvKGAwGX8JwTk4OmqaRmZlZbragMmUJxHFxFdfHj4+PLxcw5ObmEhkZWW6moLLrHC/9pOvPP/885bgKCgrOaFwGg4FoWcvZILkOHyZ/w0bcWZmEdO16ImFPr8dQyc+YqHmGyEjCevasdH/U+PGoJSUUbd9O4eavKPjqK5x79wLeoCOkx+WE9uhBWI8eAUvJ1MJCilJ3UvT99xR99503gHC70YWGYkxMLK365P1XZ7Xg+OlninbswLlnT8D9teJiMme/gv2DD4l7/DHC+vXzLQlyHT3KgQkTce7b5z1YUYifMgXbyJur9b1QFAVDVBSGqChCLrkEgNjHHqN4xw7sH3xI/hdfoBaeSArWXC5wuTh5LYI7/QiOX3/l+Lx5GGJiCOvbF8tV/Qi57LIKg57KqE4nmS/P9j2PHD+uVt4I6sNCCevdm+DkZIp37kRzuchZ9A6xDz9c4/cStcc/h0Evf/fq1DkVMCiKMhYoyxS9Q9O0tyo4pgfwJHAZEAz8CcwH5mia5jn5+NJzxgH3Ah0AD7AT+JemaRWX5KlrZ7nM51xVlqCcnJzs+4T+TM/JyMigY8eO5fYfPXq03Dar1Up2djZut7tc0JCRkVHpPYYNG1ZhTsTpxtXqpHW3brebrKwsmjZtekbXErVH0zQcv/xKwfr15K9fT8lvv/n2+S+IMCYknDM9GM4VuqAgwnr2JKxnT+IefwxXejpqURGmpKRKy3TqQkMJu/IKwq70ziSqDgea04nOYqk4B+CmmwBw5+RQvGMHRdt3ULBpky8YcB06xKF77yP0iiuIe+JxFJOJA+Mn4DpUmvui09Hk+RmEX399jb52RVEI6daNkG7dUJ+eTMHGTeSuXkXh5q/OaCmXOzMT+/Ll2JcvRwkJwRgXhy44GCU4GF3ZV0gwGI1+35fSgCjjKK7SCnT6iAiiJk2q0dd2sqjbJ3Ho3vsAyHn3PaLuuuu0y8FEwyE5DPXnnPmLpShKM+BVoAAIq+SYG4APAAfwHpANXAe8BPQEbqrgnH8BDwGHgP8AJmAUsEpRlPs1TXu1xl+MqBFhYWF07NiRX375hezsbF+i8KmkpKTw4YcfsmnTJvr16xewb+/evRw8eLDcOcnJyaxfv56tW7eWy2H4+uuvyx3frln7skEAACAASURBVF07X6Uml8uF0Wg8o3GlpqayadOmcgHD119/jcdTYawraonmduPOyPAmtZZ+OQ8cpHDrVtwVBIknk4Tnhs/YpEmVz9GZzXAGycwGmw1L//5Y+vcn9uGHyFm+nMzZr/gStAu//pq919+A3mLBk5NTOiAjif/6F9ZBA6s8rqrQmc1YBw/COniQt+qS2+2dYXC70TweNJd3SVfJb7vJX7eego0bT4wR0IqKTsyGVFH0/7sbfViFf75rTFjfvphat8a5Zw9qQQE5775L9B131Oo9Rc2RKkn155woYKt4P7J4G++HeHMrOcaK9w2/B+ijadokTdMeAboA3wAjFEUZddI5PfAGC3uAizVN+7umafcCXfEGG/9SFKVlrbwoUSMefPBBnE4nEydOxG63l9ufk5MTMPswZswYjEYjc+bMCUggVlWVRx55pML+CLfddhsATz75JE6/T+Nyc3OZVkFClsFg4P777+fIkSM88MADFPutmy5z5MgRfv31V9/z8ePHA96k7Gy/JEyHw8Hjjz9+iu+AOBtqcTHFP/+CfcVKMl6cyYHb7+CvflfxW+cu/HVVf/bfehvpjz5G5uxXyF2xolywoBiNhF55JeE33AB+gaG5Xbu6fimigVIMBiJHj6b1558Rccsoby4CgNvteyOuBAXR7NU5tR4slBubTofOZEIXGoo+PBxDZCTGuFhMTROx9O9PkxnP0ebrr2ixeBGREyZgbNG82vcyJSURccstNTj6iik6HVETJ/qeZ7/zDmol/XhEwxM4wyD5J3XpXJlheADoB/Qp/bciI4AY4B1N07aXbdQ0zaEoypPAOuD/Ae/6nXN36b/PapqW43dOmqIorwFPAROAqpdzEHVi4sSJ7Nixg9dff53WrVszaNAgmjdvTnZ2Nvv27WPz5s1MmDCBuXO9cWbLli15/vnneeihh0hOTmbkyJGEh4ezZs0a7HY7F198MT/++GPAPW677TbeffddPv/8cy666CKuv/56XC4XH3zwAZdccgm///47upMSAp966il27drF3LlzWbVqFf369SMxMZFjx47x559/smXLFp599lk6dOgAQM+ePbn//vuZM2cOF110ESNGjPD1YbDZbCQkBDYyEtWnFhVx7F//pmDL17gOHIQqVpLTh4cT1qc3Yf2uIrRnT/RhoQDE/P1v5Cx7FzU/j6g75RNNEchgs5Hw9NPYbr6Zo88+S/F2b/U8JSSEZq+/RmglJZrrm6LX+5Yzxf7jEdzHMlEL8lGLilGLi9CKi1GLHajFxWguv+VNfv9bKSYTYb2uRFdHvWSs111L5uzZuI8dw5OZRe7HH2O7qdwCA9HAaKp6UsAgMwx1qdEHDIqitAeeB2ZrmrZZUZTKAoay7RV1dNkMFAE9FEUJ0jSt5AzO+QxvwNCPGgwYXBnHUAsLvOtm67gO9rnqtdde4+qrr2bu3Ll8+eWXvrKlzZs355FHHmHs2LEBxz/44IMkJCQwc+ZMFixYgMViYdCgQbz44ouMHj263PUVRWHFihU899xzLFq0iDlz5pCQkMC4ceO45557WLlyJdaTutYajUZWrlzJ4sWLWbBgAatXr6agoICYmBiSkpKYNm0aY8aMCThn9uzZtG3bltdee4158+YRFRXFsGHDeO655+jcuXPNf+POU/aVK8lZuvS0x+ljor1JrX5f5rZtCU5OrjA/wRgfT+zf/1YbQxbnEHP79rRYtIj8NV9QvDOV8BuHY76w7elPbAAURfFWHWrglYd0JhOR48ZxbOZMALL/O5+IG2+sNFdFNAye3FxwuwHQWa1VSq4XZ69R92FQFMUAfAtYgC6aphUrijIF7xv4gKRnRVG+B7oB3TRNK9f4QFGUn4GOQAdN03YrihKKNx+iQNO0chlRiqJEA5nAMU3TTlnuRFGUyhottEtJSQkp68Pg+PVX0m4ZjVZSgj46mtDLLye0Zw/SW7VCMRorrZuvaZoEFw3U2rVrGThwII899hgzZsyo7+EA0ofhdI5MmYL93fe8T3Q6TM2bE9S2LUFt2pR+XYCxaVP5YyVEI+YpKOCvvv18XaITX5mNdWDdLvkSVeP4/Q/2lTYzNbVqRetPP6nnETU+53MfhslAMnCFpmnlF4IHKutuVllJobLtZfU6q3r8WSvYsgWtdC2lJyuLvFWryFu1ipJpz2C64AJc6eneWVy325eARum/itGIISoKfWTkWdXDFtWTnp5Ok5OSJI8fP85jjz0GeCsiicbBfeREJazEWbOwDh5Uj6MRQtQGfVgYtlGjOP6f/wCQ9fob6IJDCLqwLYaYGPkQrgFyZ/klPEuFpDrXaAMGRVEuBZ4A/q1p2jf1PZ5TqSySK515SPEdV0Hyq99FcJ+i46jmcuE6ehR3VtaJwEGmV+vMgw8+yK5du+jRowcxMTEcOnSIzz77jOzsbO666y66S0ffRsPll7hsbCK5IUKcqyJvu5XsBQtKqz79xsHSakl6m42gCy/EfGFbzB07Yunfv1wDvJqgaRqFX39NzuIluLOzMbdvT3Dniwnu3BlTq1by4d9JpEJS/WqUAUPpUqR3gD/w5hGcibIZgfBK9pdtLyulU9Xjz5rqOFGpIeKmmzA2a0bhli04qvBJh+Z248rIwJ2VhT4qGkOUBA514cYbbyQjI4NVq1Zht9sxm8107NiRSZMmMamW64qLmuU+csT32BAfX48jEULUJkNMDBEjR5KzeHHAdk9ODkXffkvRt98CoI+MJGriBGy33IIuNPSs76upKvlrv+T4vHk4/KrhOX76Cfvy5QDowsIIvrgT5s6dsV59Nea2jSOPpSZpbjeFW7bgyc0l5NJLTzS+RGYY6kOjDBjw9lko+7/HUcnU4X8URfkP3mTovwG/481haAsE5BSUBiBJgBvYC6BpWqGiKIeBREVREjRNO0KgNqX//lEDrwcAzeHwPQ5q25bIW8cSfecdFP7yC2gahtg4FL0O9HoUg8GbWKnXo+h0eOx23FlZ3q6cgObx4D6WgScrCyXIBAYDil7vDR5Kz0fT0FQVVBU8Kprq8T7G+8tKb7VKc6kzdPPNN3PzzdXrvCoaDrW42JtYB2AwYIiKqt8BCSFqVew/HsHcoQPFP+6i5Pc/KPn9d9SiooBjPNnZHPvXvzn+3/lETpiAbfRoX/WzqtDcbvI++YSsN/9Trtv3ydSCAgq3fkPh1m84/sZcwq66iui77yK4U6cq37exUUtKyF2xkuP//S8uv95HOr8Ge1Ihqe411neDJcB/K9mXgjev4Wu8QULZcqX1wBhgMLDspHN6ASHAZr8KSWXn3Fp6ztsnnXO13zE1Qi05ETAo5hMJlWXTksbYyiNqQ1QUepvNGzhkZp4IHFTPqZc6VcKTl4fryBH0YWHoIyK8nUtlelSc41x+nbyNsbEyOyfEOU5nMhFx4zAibvTmmWmqiis9nZLff8fx627sKz7Ene79vNCTk0PmrFlkz59P5PjxWK7q5+1mbTajmIPRBZtR9HqcBw6Q/8UX5G/ciCfH7v2wzmDAnZ2N2+93DHh7bETcdBNhvXvj2L2b4l27KN61K+DTdICCdesoWLeO0B49iLr7LkIuueScy7PwFBRgf/ddji9ciCczq9z+sgR1kBmG+tAoA4bSBOfbK9pXWiUpGVjoXyUJ+B/wAjBKUZQ5Zb0YFEUxA9NLj3njpMvNxRsw/FNRlJVlvRhKm7XdizdwOTmQqDbNb0mS7gy6hZ5M0ekwREaij4jAk5vrDRz8GolVfUAanvx8PPn5oNOht1rR22zoa2BKVoiGyP+PuUF6Wwhx3lF0OkxNm2Jq2hTLVVcRfded2Fes5Pi8ebjS0wHw2O1kvvwymS+/XP58o9H3gd2p6EJDsY0eTeT4cb6ZzLArrwC8uQ2uw+k4ftxF3mefkb/2S995hVu3Urh1K8EpKUSOH0fopZeiD69s5XT1qQ4HntxcPLm5GKKjMURG1vg9wPtanXv2kLt6NTlLl6Hm5QXs14WHY27blqLUVPB4fNtNrVrXynhE5RplwFAdmqblKYpyB97AYaOiKO/i7dZ8PXBh6fb3Tjpnq6Ios4AHgR8VRfkfYAJGApHA/ZqmpdXUGANmGM6iZKOi02Gw2dBHRKA5nWhuN3g8AVWVtNL/8RS9HnQ67+xB6fImzeXCk5uL6j8zoap47HY8djv6iAiM8fGyXEmcc1x+FZKMkr8gxHlPMZmwjbyZiGFDsX/0EcfnzsN1+HClx58uWNCHh2MbdxuRY8ZU+kZfURRMTRMxNU3Ees01lPz5J1lv/oe8Tz7xLRsuTk3lcGoqAKYLWhOSnEJwSgohKckYmzdHczpxpad7vw4f9j1Wi4pA1UBV0TT1xOPSv/seux1Pbm7AEmkAY/PmhCR3IbhLF4KTkwlq06baM7Du7GzvcqstWyjcuhW3X6GJMobYWO/yr5tvQhcaisdup2DTJgq/+w7zhe0wd+xQrXuL6juv3vFpmrZSUZTewD+B4YAZ+AtvQPCKVkFTCk3THlIU5Se8Mwp3AiqQCszUNG11jY7vLGcYTqYoijfwqEbwYYiORi0pKf0FkovmPDE2j92OWlCAMSEBndV6zk2LivOX66h/wvMp26sIIc4jismE7aabiBg6lNyPPyZ3xUrcOTneTtYOB6rD4V3+q2koRiOhPXtiGTgQ80UdS9+QexuOBbW5oMp/34PatCFx5ovE3H8fx//zFvaVK8EvMHH+tQfnX3uwv/8+ALqQkHJ5GGfLdeAAuQcOkPvRx757BLVvj95iQR8Vibl9B8wdO2Bu1w5dcDAAmtOJ89BhnAf249q/H+f+AxT/8ENAovfJTC1aEHn7JMJvuCGg87c+IoLwG24gvLQPg6h751zAoGnaFGDKKfZvAa6p4jUXAAvOYlhndh+H/wzD2QcMZ0sXFIQuNhZDTAyaw4E7K8uXEKq53TgPHkRvsWBISAj4H1uIxsp91K+karwsSRJCBFKMRiKGDydi+PBy+zRNQ3M6UXQ6FKOxxu9tat6chGnPEH3vPeQsWULht9tw7N7t635cpkaCBaMRfUQ4+jALrsOHyy1vVouKKN5xon5MLh96H+j1mJJaohU7cB054psRORWd1UroZZdhveZqLAMGSO5YA3XOBQyNmVriP8PQcLrIKoqCEhyMqVkzPOHhuNKPoLm9n2548vNRCwsxxMZ661SXVmNCp5OZB9Ho+M8wGBNkSZIQ4sz5ZvVrmTE+ntiHHgJK37j/9DPFO1Mp2rmT4p0/ePMA9HqMcXEYmzTBmJiIMbEJxiZNvKsC9HpQdKBTvMuRFR2KQY/OasUQEYE+IgIlJMT3N1x1Oin59VeKdv5A8Q8/ULxzJ+5jxyoenMeD869TV4BCrye4c2dCe/YgrGdPzBddJEucGwH5L9SABMww1MCSpNqgt1rRhYbiysjAU9pITlPVgOoyACiKt/SrXo9iNqMLDkYXEoISFHTKakuax4PmdqMYjVKVSdQ5/y7PhjgJGIQQDZsuJITQS7sTeqm3OaimqnhyctCHh9fYm3CdyeTNXejSxXsPTcOdno5z/37U4mKcBw/i+OVXHL/8gnPfPihb3a0oGBMSMLZojql5C0zNm2NqlURIt27o/UqkisZBAoYGJGCGoQ4+paguRa/H1KSJd7ahgqlKwNvjweXyJoA5HHjspf3tFB26YLM3eCitJqE5nWhOF5rL6UvGBgWdOchbss4/2JBZC1GLAro8ywyDEKKRUXS6Wu8foyhK6axFYrl9noJCnHv3oAsLw9i0qSxXPodIwNCANIYZBn/60FB0F1yA+/hx1MLCExWY3O4TnzCcTFNRi4rOYI2lhupweIONnBzvJp0OXXAweosFndVa7heRJzcXT34+islUWhfb7J2pkCBDnAG1sNBX0k8xGtHXUhlBIYQ4V+nDQgm++OL6HoaoBRIwNCD+Mwx1sQ6yJig6HcaYGPBroqJppWXaPB7vDEJxMWpxMWpR0enrU5cuZarwOFX1vqkrLISjR9GZzeisVvRWK2phoTfB6uTL6fUowcHow8LQhYXJLIWolP+yOkN8vCyJE0IIIUpJwNCA+M8w1ERZ1fqiKIq3p4NeDyYT+DV6U8sCiKIiNI/HOwNgMqEYTSgmozfvQVHQPB5vkFFc7As4NJeL/YcP037wYMZefz1vPvssqsNRefIVpTkRBQWoBQXesRmN6MLCvLMUoaFSjUH4BHR5jpOSqkIIIUQZCRgaCE3T0BrhDENV6YxGb7k2q/WUxyl6PfqwMPRhYb5tqsuFoax8XCWzBGX5DqrDgeZw+OVEeGkuF56cHO8yJ0VBFxrq7WBtsdRKGTzReEiXZyGEEKJiEjA0EAHBgskkyyEqoDMaMUREAN5umcamTVHz81Hz89FUFV1wMKaWLX2zBlpp4rVaOsOgFhSiqX4BhKb59rnwVpvQW8PRhVu9gY04r0iXZyGEEKJi8q60gWhsCc/1YcqUKSQlJQGw8J13MNpsBDVvTnDHjiz75htMrVqhKQpz587lkksuwWKxYLHZuHzQIP77yScY27bBlJSEISbGt+QrpFMnBk2YQPqxY0z4v/+jyYVtCbVYSLnoIha+9DLO/QdwHj6MKyMDd9ZxPHl55WYtxLkhoMuzVEgSQgghfGSGoYFoLCVV61OfPn2w2+3Mnj2bzp07M3ToUN++lEsuQVEUxo4dy9KlS2nWrBm33347iqKwYsUK7rnnHr7++muWLFmCPjQU4uJQS8vB2gsK6HfrrYRbLNx6ww3Y8/P5cM0axj/4dw4fOsjfJ0wIGIei16OPisYQFSk5EOeQwC7PEjAIIYQQZSRgaCBkhuH0+vTpQ8uWLZk9ezZdunRhypQpAfuXLVvG0qVLSU5OZvPmzYSV5j9Mnz6d3r17s3TpUoYMGcLo0aMBfGVZf/rtN24aPpzFc+d6E6QLC3l40iR6jhzJlFdeYWj//iQ1a+a7j+bx4D6WgScrC114OIqhtGsmmrecrN+XVlpe1tvEzgAGvfdx6Rc6nbcyVCOv3KR5PKj5+d7vRyN9LQFdniVgEEIIIXwkYGggVIffDIO5ajMMnRZ2qunh1Jqfxv1Ua9eeP38+AM8//7wvWAAIDQ3lhRdeoH///rz11lu+gKGMXq/nhZkzMUVHQ3Q0msfDhRdcwH333su0GTN4b+NGnnzoITS325svUVryVVM9eHKya2DkCopO8QYPOp03f8Vg8JaCraDfREOhud0Uff89eZ+vIX/tWjzZ2eijoghO7kJIcjLBycmYO3ZsNDNmAV2eJelZCCGE8JGAoYHQSvxmGIJkhqE6UlNT0el09OnTp9y+3r17o9fr2blzZ7l9zZs39+VGQGnvBr2efgMHMm3GDHb9/jvG2FgANFXFk5uLOzOz4g7X1aKhqd7eFd5nXmpBwYl+ExYLeqvV24yu9BN8X78LVQWPx5tb4fEEPldV75e+dGbDaDyx3+VC83hwHT6M69Ahb67GIe9jV8ZR1Nw80DSC2rbB3KED5g4dCGrXDueePSeChLKmeqU8x49T8OU6Cr5c591gNBLcoQNBbdtgiI3DEB+HMS4OQ5z334YyI+EpnVkCb4UyfWlyvRBCCCEkYGgw1IAlSY3jE9mGJjc3l8jISEwVfCJvMBiIjo7mWAU9G+IqqbkfX7osJTc317dN0ekw2GzoIyJQCwrQSkq8b8BVFVC85V6V0hmD0sdomvfNu9uNVvZV9lxVK++KXUp1OLz9JjIzvaVfdboTAcFpzq2I5nTi3LOH30aOOqPznfv3k7/2y9Nf2GCAsrK3ZVwuinftonjXrgpP0YeHY7vtVqImTarX3iNuv6Z/hvi4BhHECCGEEA2FBAwNhBaQ9Fy1N061ucynMQkPDyc7OxuXy4XxpLKobrebrKwsrBX0f8jIyCi3DeBoaV3+8PDwcvsURUFvsYDFctbjLgsafIGHqqIWF+PJz/fOMvi9qT9tp+wq3bjqwcbJDLGxWAYNwjp4EMGdO+Pct4+inTsp3vkDxTt34kxLO+X5ntxcsua8Su6KlcQ98ThhffvWy5v1gKZt8bIcSQghhPAnAUMDoUrS8xnRl1Yl8lRQ2jQ5OZl169axefNmrrrqqoB9mzdvxuPxkJKSUu68AwcOkJaWRsuWLQO2b9y40Xfd2lTWc8O/4pIuOBhDZKQ3mbigwBs85OeXL+mqKL4lVJR+KTpd4L+KDs1zYnaDnBzvbIDizZswJiRgbNoUY9NETImJ3scJCehtNjSnE8fu33D88guOX3+l5Pff0UWEY+nfH+vgwQR36RLQMySoTRuC2rTBdvPNALhzcnD8+CPOQ4dwZxzDnZHhLVFb+q9WVASA69AhDt1zL6G9exH/xBOYWrSo1e/5yQIDBkl4FkIIIfxJwNBAaA4pq3ombDYbiqJw4MCBcvsmTpzIunXrePzxx9m4cSMhISEAFBUV8dhjjwEwadKkcud5PB4effRRli1bhq70ze++fft45ZVXMBgMjB07thZf0akpej368HD04eFoquqdiVIUbyBQFhRUka6oCHO7drT7cZc3yfo0pWHN7dvDjcOqNX6DzUZY794V7tM8Huzv/4/Ml17CU7rsq3DTZvZu/YbISROJvvNOdKX/DWtbQMKzBAxCCCFEAAkYGoiApGeZYahUWFgYl156KV999RVjxoyhbdu26PV6rr/+ekaPHs1HH33E8uXL6dixI0OHDkVRFFauXMm+ffsYOXIkY8aMKXfNiy++mG3bttG1a1cGDhyI3W5n+fLl2O12XnzxRVq3bl0Pr7Q8RadDCQ6uuevVczdrRa/HNmoklkEDyXx5Nvbly71Ls1wujs+dR+Hmr2ixdEmd5DYEzDBI0zYhhBAigHR6biDOpqzq+WbRokUMGTKEzz//nKlTp/LUU0+RmpoKeHsxvPbaa0RFRTFv3jzmzp2LzWbj1VdfZenSpRVez2azsXXrVjp27Mjbb7/NwoULSUpKYsmSJTzyyCN1+dLOSwabjYSpU2j5/vuYO1/s2+749Vfyy6ot1TK3f5dnmWEQQgghAsgMQwMhZVXP3AUXXMCqVasq3KfT6bjnnnu45557qnTNJk2asHjx4poYnqim4Is60nLZMjJmPE/OokUA5H/xBeHXDqn1e7uky7MQQghRKZlhaCCkrKoQ3mVXtltG+Z4XbN6MWpoYXVs0TZOkZyGEEOIUJGBoIAKTnmWGQZy/glq1wnSBN29Eczgo+OrrWr2fmpfnq9akBAejq6CMrhBCCHE+k4ChgVBLZIZBiDLWgQN9j/O/+KJW73XyciRp2iaEEEIEkoChgQiYYZAqSXVG0zRfvwXRcFgGDfI9LtiwAdWvsWFNC0x4rrjrtxBCCHE+k4ChgZCkZyFOCGrbFmOL5gCoRUUUbtlaa/dyHZEuz0IIIcSpSMDQQEhZVSFOUBSlzpYluTKkB4MQQghxKhIwNBCaQ2YYhPBnGXhiWVL++vVoTmet3Cegy3OcBAxCCCHEySRgaCD812jLDIMQYL6oI8YmTQBvJaPCbd/Vyn2ky7MQQghxahIwNBABMwyS9CwEiqJgGTDA9zz/izW1ch/3EenyLIQQQpyKBAwNhP8MgxIkMwxCQGC1pPwv16G53TV6fU3TcGX4lVVNkKRnIYQQ4mQSMDQQ/jMMUlZVCK/gLp0xxMYC4MnJoWj7jhq9vsdu9/2/pwsJQRcWVqPXF0IIIc4FEjA0EKqUVRWiHEWnw9K/v+95TS9LcvvlLxgSEqRpmxBCCFEBCRgaCE3KqgpRoYBlSWu/RFPVGrt2QMKz5C8IIYQQFZKAoYGQpOczk5aWhqIojB8/vr6HIupISLeu6CMjAXBnZlL8ww81du3AGQYJGIQQQoiKSMDQQASUVZWk53pzuoBk48aNKIrClClT6nRc5zNFr8dy1VW+5/lram5ZUkCXZ+nBIIQQQlRIAoYGQHO5wOPxPtHrUYzG+h2QEA2M/7KkvLVr0TStRq7rli7PQgghxGkZ6nsAQmYXhDid0Eu7owsPR83NxZ1+hONvvYU+LAy1qBi1qAi1uBjNUYw+IgJDfDzGhAQMcXEYExLQWyyVXtd/hsEQLyVVhRBCiIrIDEMDIPkL1fPbb78xdOhQIiMjCQ0N5YorruCLL74od1xJSQnPP/88nTp1IiQkBKvVypVXXsny5csDjpsyZQpJSUkALFy4EEVRfF8LFixg/Pjx9O3bF4CpU6cG7N+4cWOV7weBS6D27NnDiBEjiIqKwmKxMGDAAH766ScAMjMzuf3220lISMBsNtOtWzc2bNhQU9/KBk8xGrGUfu8BMv89i6NTn+HYzJlkvfYa2fPnk7N0GVmvv8HRyU9z8I472Xf9DfxxSXd+79qNPYMGs2/4CPaPn8DB++4j/dHHODptOkXfnegebYyPq4+XJoQQQjR4MsPQAKgBAYPMMJyJffv2cfnll9OpUyfuuusujhw5wnvvvcfVV1/N0qVLGTlyJABOp5NBgwaxadMm2rVrx7333ktRURH/+9//GDlyJD/88APPPfccAH369MFutzN79mw6d+7M0KFDfffr0qULERERgDeY6N27N3369PHtb9myZZXv5y8tLY1LL72U9u3bM378eNLS0lixYgV9+vRhy5YtXHPNNYSHhzNy5Eiys7N59913ufrqq/njjz9o3rx5LX2XGxbrtdeSu3Jllc9TCwtxFhae9jiZYRBCCCEqptTUWmBRdYqi7EhJSUnZ+t577L32OgBMSUm0/uzTgON2794NQPv27et8jA1NWlqabxbg4YcfZubMmb5927dv5/LLLycsLIz9+/djtVqZMWMGTzzxBFdffTUff/wxBoM3Rj527Bjdu3dn//79bNmyhR49egRcf9y4cSxYsKDc/Tdu3Ejfvn15+umnK0x8ru79AKZPn84///lP37WmTZvG5MmTsVqt3HLLLbz++uvodN5JwUWLFnHbbbfxt7/9jZdeeqlK38PG/POUvXgJRdu2oZjN3kZr+TNjygAAIABJREFUwcHoQoLRhYSgmEy4s7NxHzmKKyMD95EjuI4eRfNb8lcZY7NmXLC2/OyUEEIIca7o2rUrqampqZqmda3quTLD0ACofj0YqrMkaXe7xvPGr/1vu2vkOuHh4UyePDlgW7du3RgzZgwLFy5kxYoVjBs3jvnz56MoCrNmzfK9eQeIjY3lqaee4vbbb+ett97yvYE/W9W9X8uWLXnssccCto0bN47JkyfjdruZOXOmL1gAGD16NBMnTuSHGiwx2hhEjh1D5NgxZ3y8pml47HY8OTmoBQWoBQV4CgpQCwq9j/PyUAsLCfebTRJCCCFEIAkYGgDNr8uzJD2fmZSUFCwVJLP26dOHhQsXsnPnTm688Ub++usvEhMTadeuXblj+/XrB8DOnTtrZEz5+fnVvl+XLl3Q6/UB25o0aQJA27Zty71WvV5PXFwchw4dqpGxn6sURcFgs2Gw2ep7KEIIIUSjJUnPDYAqSc9VFhdXcYJqfGm33tzcXHJzcwFISKh4bXrZdrvdXiNjOpv7hYeHl9tWNkNR0b6y/S6Xq1pjFUIIIYQ4UzLD0AD4r7HWVSNgqKllPo1JRkZGhduPlnbuDQ8P973RPurXzdffkSNHfMfWhLq+nxBCCCFEXZAZhgZAyqpWXWpqKvn5+eW2l5U3TU5OxmKx0Lp1aw4fPsyff/5Z7tiysqQpKSm+bWXLgjxljfROcqr91bmfEEIIIURDJwFDA+Cf9Cw5DGcmNzeXZ555JmDb9u3bWbJkCeHh4QwbNgyAiRMnomkajzzySMCb/KysLKZNm+Y7pozNZkNRFA4cOFDhfaOiogAq3V/V+wkhhBBCNHSyJKkB8E96lhmGM9Pr/7N353FynPWdxz9PVd89PfeMRvctWbIl2fIh4wtsB+wQFhMSNhwhJJuEkLBkIWwISTYksDk3xEtgSSCExAkJkHBjDgdiY4wNlvEpS5ZlWfc1Gs3d03dXPftHt3pm5NHomKNrRt+3X/2q6u6qep62pJn+1fP8nt8tt/D3f//3bN++nRtvvLFWh8H3fT75yU/S2NgIVJZe/fa3v83XvvY1tmzZwqtf/Wqy2Sxf+MIX6Onp4X3vex833XRT7boNDQ1s27aNH/zgB7zlLW9h3bp1uK7La1/7WjZv3sz69etZvHgxn//85wmHwyxfvhxjDG9961tZvnz5BbcnIiIiEnQKGAJg3AiDCredl5UrV/KJT3yC97///XziE5+gUCiwdetWPvCBD3DHHXfUjotEInz3u9/l7rvv5rOf/Swf+9jHCIVCbNmyhY985CO86U1vesm1P/OZz/Ce97yH++67j8997nNYa1myZAmbN2/GdV2+8pWv8P73v58vfOELpNNprLXcdNNNLF++/KLaExEREQkyFW6ro9OF2/7jV3+VUx/5awDa3v52On/rPeOOm8uFtiR49PdJRETk0jOVwm3KYQiA8cuqaoRBRERERIJDAUMA2HFJz8phEBEREZHgmLMBgzGmzRjzK8aYrxhjXjTG5IwxQ8aYh40xv2yMmfCzGWNuMMZ8yxjTXz1nhzHm3cYYd6Ljq+e8zRjzmDFmpNrGg8aY10zXZ/ELGmEQERERkWCaswED8AbgU8A2YDvwEeBLwBXA3wP/bowxY08wxtwFPATcAnwF+H9ABPi/wOcnasQY82HgHmBhtb1/ATYB9xpj/vt0fJBxIwxaJUlEREREAmQur5L0AvBa4JvWWv/0i8aY3wMeA34GeD2VIAJjTCOVL/we8Apr7ePV1/8AeAD4WWPMG621nx9zrRuA9wL7gGuttQPV1/8SeAL4sDHmG9bag1P5IOOWVdWUJBEREREJkDk7wmCtfcBae+/YYKH6ejfwierTV4x562eBDuDzp4OF6vF54H9Vn/76Gc28o7r9k9PBQvWcg8DHgSjwS1P7JFpWVURERESCa84GDOdQqm7LY167rbq9b4LjHwKywA3GmLHf2Cc759tnHHPRbF4jDDI7tIyyiIiIXKi5PCVpQsaYEPAL1adjv+ivr25fOPMca23ZGHMAuBxYBew2xiSBxcCItfbEBE3trW7XnUefnjjLW5cB+IXJRxiMMVhr8X0fx5mvMZ7MhtMBwxnpPSIiIiJnNR+/ff45lcTnb1lr/2PM603V7dBZzjv9evNFHn/Rxo0wTJD0HI1WgohMJjPVpuQSd/rv0Om/UyIiIiLnMq9GGIwxv0klSfl54K117k7N2SrqVUceto5bVnWCL3KpVIp8Pk93dzcAyWQSY4zuEst5sdZirSWTydT+DqVSqTr3SkREROaKeRMwVJc4/WvgOeB2a23/GYecHhFoYmKnXx+8yOMv2rmWVW1tbSWTyZDNZjl69OhUm5NLXCKRoLW1td7dEBERkTliXkxJMsa8G/gYsBO4tbpS0pn2VLcvyTmo5j2spJIkvR/AWpsBjgENxpiFE1xvbXX7kpyIC+WfY1lVx3FYunQpHR0dxGIxjSzIBTPGEIvF6OjoYOnSpcqFERERkfM250cYjDG/QyVv4Wngldba3rMc+gDwFuBO4HNnvHcLkAAestYWzjjnrdVz/vGMc35yzDFTYs9jWVXHcWhvb6e9vX2qzYmIiIiInLc5fZuxWnTtz6kUUbt9kmAB4ItAL/BGY8w1Y64RA/64+vRvzzjndD2H3zfGtIw5ZwXwTqDASwOJC3aupGcRERERkXqZsyMMxpi3AR+iUrn5B8BvTjBV56C19h4Aa+2wMeZXqQQODxpjPg/0U6kWvb76+r+NPdla+0NjzN3AbwE7jDFfBCLAzwGtwLumWuUZwJZKpz8UJhKZ6uVERERERKbNnA0YqOQcALjAu89yzPeBe04/sdZ+1RjzcuD3gZ8BYsCLVAKCj9oJqlpZa99rjHmWyojC2wEfeBL4S2vtN6b8KfzRQtUmGlV+goiIiIgEypwNGKy1fwT80UWc9wjw6gs85x7GBB7TaWyM4mhtfBEREREJmDmdwzAvjB1hUP6CiIiIiASMAoZ6GzPCYM6yQpKIiIiISL0oYKi3MSMMzgQ1GERERERE6kkBQ53ZcSMMChhEREREJFgUMNTbuBEGTUkSERERkWBRwFBvGmEQERERkQBTwFBnduwIg5KeRURERCRgFDDU29gRBiU9i4iIiEjAKGCot3F1GDTCICIiIiLBooCh3vyxlZ41wiAiIiIiwaKAoc6s1QiDiIiIiASXAoZ60wiDiIiIiASYAoZ6GzfCoIBBRERERIJFAUOdja30rGVVRURERCRoFDDU29hVkjQlSUREREQCRgFDvWmEQUREREQCTAFDvWmEQUREREQCTAFDnY3NYdCyqiIiIiISNAoY6m3MCIOjVZJEREREJGAUMNTb2BGGqEYYRERERCRYFDDUmdUIg4iIiIgEmAKGevPHjjAoYBARERGRYFHAUG927AiDpiSJiIiIXGqs79Pfc4xMerDeXZlQqN4duOSNHWHQlCQRERGRwPPKZQZ6T5Du7yYz0E1hqJdyugc/04sppME4WGPAOGBcTPW5KWZwCkOES8NESmliXpq4P0KLP0irKZK1UZ6+5aNcefsb6/0Rx1HAUGd27AiDkp5FREREAm3nI/ey9Lu/RjsZ2qfroqaySZgC6x96F883dXDZNbdP19WnTFOS6k0jDCIiIiJzgu95pO7/XZrITPu1PVuJGuKmyIJv/CJH9j4z7W1cLI0w1F01YAiHMa5b366IiIiIyFk9/d3PsNU/AkDJupxwu8i4zeQjLRSjrfjxVkysCagW57Ue+F5lGX3rYyIJnHgzoWQL4WQrscZWEo2tpFq7GOo9TsO/vJoWhmlhmNxn30Dvr91Pe9fSen5kQAFDYGg6koiIiEhwWd+n8ccfrT1/fPFbeNnbPzZt129sbmPPa/6J2L0/R9wUWWRPsvdTryP+7vtJppqnrZ2LoYAhIDQdSURERCS4dnz/S2zx9gGQsxHW3fU7097G+mtu4+mhj7HpoXfgGsta70V6/2oLx0KdZCNtFKNteIkOTEMn4cZOIqk2Yqk2Ek0dNLR0kGpswZmBGSsKGAJCIwwiIiIiwWR9n8gP7649f6bzLq5fsGRG2rry9jeyvf8Y23Z9CIB2BmkvD0IZyAIDZz/Xs4Yhk6BAlLIJUTZhyoTxnDD57j0X3ScFDAGhEQYRERGRYHru0fu4vPQcAEXrsvKu353R9ra94b08Whxh8wsfJ2EK532ea2w1ITtTSZM9vbaODzGbu+j+KGAICI0wiIiIiAST//2/rO0/3fqTXLdk9Yy3ef1b/pBc5rc4dvIw6d7jZAe6KQ1144/04GR6CBf6iZSGiZXTJL1hGuwIKXPxQcFkFDAEhEYYRERERILnhSe/z6bCk0Blys+in5rZ0YWx4skUi1ddDqsuP6/jS8UCI0P9lIp5SoU85WKOcqmIV8qT//yvwokXL6ofChgCwolphEFEREQkaDL/+ee1/aeabueaNVfUsTeTC0eitHQsnPC9WLLxoq+rwm0BYaIaYRAREREJkgO7tnNV9oe15213vr+OvakfBQwBYTTCICIiIhIofff9RW3/qcSNrNx4bR17Uz8KGALC0QiDiIiISGAcfXEnVw0/UHue/Inpr7swVyiHISA0wiAiIiJybjsf/jr+wx8l5OXwnRC+cbGmunVCgAFrMfhgfYz1MVS31sNgK1trcai85hsXz4ngOVE8J4rvRmjKHsI1lXVJn41uZdPWl9f3g9eRAoaA0AiDiIiIyOR8z6PrP99FO4Oz2q7z8t+e1faCRlOSAuL0sqq+5zHUdxKvXK5zj0RERESC5eDux2c9WHg2upWN1985q20GjUYYAsKJRTl+cA+he+6kk358axg0SdKmkYzbRD7cRCnSiLE+jl/E+GVcv4RjS7h+iUK4kVzzOsKLrqBt1VUsWbOZcETTnERERGT+OLXzAVZV95+NXgU3vgfrlfC9EtYr4ntlrPUxJoRxDMYJYYyDcR0wLo7jYhwXHAfHCWEcB+O4WN+jXMjjlXL4xRx+KY9fyuOEY6x/+c9hnEv7HrsChoAw0RiHv/VhrqcfAMdYmhmh2Y5A+TiUgcmK95WA7I/gOPB4pWz5AXcpA4nlWONirFeZz2e96jw+rxJ82DKO9aqPyr41DuloF8WGJZjWFcQ6VtG8aA0Llq0jlmiYhf8bIiIiIi8VPjq6xGl25R1su+WuOvbm0qGAISBMNMLyw9+btutFjMdK/yArRw5e3AXKeyEDnAR2j7581HTR3XA55YVX0bzmelZc8TIFESIXIZdJs+Nbn8QfPAKhGCYUrW2dcAwTjoC1ow8s1laS74zjYtwQxo3guCEcN4xxwzihMG4kSigcIxyJEYrGCEUq+77v4ZVLeKUSXrmAXy5TLpcwxhBNNBJNNBBPpognUjiuW9//OSIiE7C+z/KRZ2rPOzfdVsfeXFoUMAREb+8x1nEKgGESRN63l0x6kJH+k2SGTlEY7qWUGcBxQ5hQBCcUxaltw+T6jlA6sYv4wB4W5PaxsHqt6bbEdrMk3Q3p++EFKH/TYV9oBQPJ1fhOGIwBDBiDNQ5g8CMNEG/FTbQQamglkmoj3thBKBQmN9xHfqSf0kg/XnYAmxvEFNJgHAjFsKFI5YuUG8WEorjxFNHGDuJNHTS0LKCprYt4MoXveezb8QhDR3YRSjQTa+6koXkBje0LSTW2XPJDiRI8T3/+g7zsyKfq3Y0JZW2UnImRNzEKJk7BTVByE5RDCbxQEt+NghPCOmGs44ITqj1MrLES9LhhcMOYUBg3FMEJR3EjCULRBOFognAsQSSWJBpvoKGpVVMoReScjry4g2UMATBEkuWXXVPnHl06FDAExPDRpyFZ2X+h8QauSTQQSzTQtmDJRV0vPdTPsT1PMNK9D4yp3JF03MoXZ1O5O+k4ocpdSTeEEwph3BCuG8Yr5hk5uZ9S3wHcocMks8doKZ2g0+8lZPxx7YSMz2pvPwzvn+r/gouWsxE8XNaaiedsFW2IAdNE2m0mG26lEG3Di7dBQwduQweRxk7izQtItXXR3L6IeDI1y59ALkWNJ7fXuwtnlTAFEhTADoEFfCrTHmdQ1kYZMUmyTgM5t4FiKFUJUNw4NpzADycgnMBEkphwHFMdVTFuCCcUwY3GcSOJymiL42Aw4DiVucuOi+OGiMSTROINxOKVn6/RWEI3E0TmkBPP3M+y6v7+xBau0mjorFHAEBBNQztrAYO57DVTvl6qqZXLrnsl8MopX+u0Qj7L/ud+zMDeH+Ecf4rO9C6WekdxqmsU10vcFCd9P2LKLKCPBV4fePsgD9UbFBPK2ihFE66s0wzV9ZvBwadsQvS4XQwlllFsWomT6oJqMGZ9D6pJV7ZcBK8Efgl8D+OEKmtDuyGME6rceT19R9atbk9PM3HCuJEYsVQb8eZOUi0dNLZ0EApHXtJX6/sUCjkKuSyF3Aj5zBCFbJpiNk05P0w5n8ErZHHcME4khhOO4Ybj1akqcXyvTKmQqRyXH8EvZPAKGSjlsECocQGX/8RbSTQ0TeWPSCbQUuqu7W9vfz3WjWK8AsYr4ngFjF+qjdjZ6qhdjbU4toTxK7lH5nQOkl8mZIu4tkTIlgif3lLCx8HDrTxMCM+E8HEx+ERsnpjNE7f5c/57mim1IMXvn5UA5bSsjZI1cXImQd5JUHSTFENJvFASL5LCjzVjYk24iRbcZCvRhlaSrQtYvn6rgg2RWeYeGc1fKCy+vo49ufQoYAiIhaby5aFoQ6y/6XV17s3EorEE67a+HMYULhke7OPwzkfI9RyozK+2fnWe9em51x5+fhiTG8TJDxAuDhEtDxMvDxOyJXJuA/lQI8VwE160CT/ahIk1Vq5RLkA5j/GK1S9SBdxShmhpkERpkAZ/mGY7TMRUlqDtpZkjyStwvAKJ8iBJb4hmf4iEKVzQ56x9cTnNjH23QKO3D9L7ID19OSfnY5gEIyaFYz2iFInaAjGKxIxlJqt4bD/yY7a9659msIVLT7lUpNPvrf3d2vLfPhaYXCDf88hl0+Qyw+RHhslnhijm0pSyw5TzabxcGlvOY70y+OVqoFwE3wOvgFPMgF/C+OXaim6OX8Lxi4T8AmE/T9gvErYFIrZAlAINNlsrjjTbRkdTBsGj8jiPmGlH7Go2ve8/FTSIzBLr+ywdfqr2vG3jrXXszaVHAUNAOKHKL8vd8avY0thS596cv8bmNq646bV1a9/6PiMjQ+RHhmnrWkr7BL+8c5k0A6eOM9J/guxAN6Whk5TTJzGZXkL5PiLFAZKlAVLe4LgAJGgaydJos6MvmLMfO526Bh6fnYYuIaeOH2BhdXpfL820ByRYAHBcl2SqmWSqedbaPP3veGSoj9xwH7n0AMV0P+V8Gr+QwS9msMUMFLOYUhbHy1dG7qqjKsYv4foFQl5htJordrS6KxbXLxG2RaI2T5QCMVskai5+GGNz/gn27XqM1Zt0l1NkNpw49AKL6ANgxMZZeYX+7c0mBQwBYdxKwJBf/ZN17sncYhyHhsYWGiYJsuLJFPHkelix/pzXs75POj1IuVjAcZxK8rUxOI6DMYZ8doTeQ7sZPr4Hr/dFnPxgZcla3wPHrSaBhrFuGJwwuJHKVBLrg18Gr/LlhuqXHE6Xqa9++aksd+vhlnPEysMkvWFSdpiUzZ516lfRhsibCAWi5E2cghOn6MQpuXG8UALPjVWmrHgFXL+A6xdx/SIhvwjGUHRilN04XvV4PxTHKWW5dug+AFr8gYv7w5Gz6j+2j4XV/b5QF+117U39jf93vGbW2vXKZfK5EXLpIbIjA+RHhihmhyqjKdkhvNxgZSGG/CBuYYhwaZiF2RdYUP3ScmrHdxQwiIzx4jMPU/jm75EoD1amPRq3tvVNCN8J4zlRfDeK70SwbgQbimHdKEQbcGKNuPEmQolmwokmYg2VGxe54V5Gdt7Homo7++NXsHmCaboycxQwBITjWnxrWH3zG+rdlUuacRxSTa1nfb+hsYX2rqXAq2avU1S+2AwO9jIy2IsbDhOJJYklKsmbkVCI6f6x6Xse5Q+1EzI+jWTI5zLE4slpbuXSle0ZXSRgJL5okiNlJrmh0JjRlOXndc72L/wVC3Z9CID40YdnsHcic0/hm+/n8uKzM95OZuF1M96GjKfJlwFhXMve8Hrau5ad+2C55LihEM3tXSxZcwULl6+nbcESkqlm3NDMxPyO69JvRqekDPQcnZF2LlXl/kO1/WLq4lZCk/pYcvWdtf012WcoFS8sR0pkvirks6wt7D73gVPkW8OCq1WsbbZphOE8GGOWAB8C7gTagBPAV4EPWmunZb6G41r6l83uXWuRyQy7LXR6lcrjw6eOsXD5uad0yfkJDR+p7Tst53dnW4Jh0YoNdNNBF6dImjzPP/MDLrv2J+rdLZG6O7DzR1xWzQE8bjrJ3PUPeOUifrmEP3ZbytcetlzAlvLYUg6KIzjFEdximnB5hEh5hKiXwWDJhhophJspR5qIbPwprrxiW50/7aVHAcM5GGNWAz8EOoGvAc8D1wH/A7jTGHOjtbZvyu24lsXX/8xULyMybTKRNsjtAyDbf7zOvZlfEtljtf14x8o69kQulHEcDjdfS9fgtwAY2PldUMAgwuCeR2r7x1NbuObKm+vYG5lumpJ0bn9DJVj4TWvt66y177fW3gb8X2A98CfT0ciR8CKWrbtyOi4lMi0K0dFU3OJQ9yRHyoUaW4OhedHqOvZELoazanRp6cYTP6pjT0SCI3JidEU9b/G1deyJzAQFDJOoji68CjgIfPyMt/8QyABvNcZMKRvUGsuJhbdN5RIi085Ldtb2/fTJOvZkfqnVYKjqXDJ7qwLJ9Fh+zZg8hsJz5LMjdeyNSDAsHtlZ22+77KY69kRmggKGyZ2uCvIda60/9g1rbRp4BEgAk66rZ4x5YqIHcBlAMWRoueanZ6D7IhfPNCyo7TuZnjr2ZH45dfwAoTE1GIJSsE3OX8eiFRxylgIQNSX2Pn5/nXskUl8nj+6rLTectVFWbNQIw3yjgGFyp7M8XzjL+3ur23VTaaQYgnVXvWIqlxCZduGmhbX9SO5UHXsyv/Qf21fb7wt11bEnMhXdraNfiEaeV8Agl7Zjzz5U2z8QXU9INRLmHSU9T66puh06y/unX5+0JKq19uqJXjfGPJGNmq27lhuuc92L7KLIzIi3jgYMieKU8/qlSjUY5ofw2tug98sAtPUoj0EubcWD22v7w+1X1bEnMlM0wlBn3S1w90+7lPxSvbsiMk6qffHofnV5VZk61WCYH1Zfeye+NZX90l6GBnrPcYbI/NXc93RtP77qZXXsicwUBQyTOz2C0HSW90+/PjjVhvLl/FQvITKtWjpHv8y2+INY35/kaDlfqsEwPzS1drAvVFnhyjWWA49/p849EqmPQj7LqtLe2vNlm2+pY29kpihgmNye6vZsOQprq9uz5TicNwUMEjTJhiayNgpA3BQZSU85LhZUg2E+6e0cXe8i/8IDdeyJSP0c2PkjItWCbUfNQlo7F5/jDJmLFDBM7nvV7auMMeP+XxljUsCNQBZ4dKoNKWCQoDGOw4Azmp4z2HNkkqPlfKkGw/zRcNnttf2uvu2THCkyf40t2HaicVMdeyIzSQHDJKy1+4DvACuAd57x9geBJPAZa21mqm3lvNxULyEy7dKhttH9XlV7nirVYJhfVl99O0VbWbBihX+Y3m4F1XLpGVuwzVfBtnlLAcO5/QbQA3zUGPNVY8yfGWMeAN5DZSrS709HI7myAgYJnmxkNGDIDShgmCrVYJhfEg1NvBjdWHt+8PFv17E3IvUxtmBbuwq2zVtaVvUcrLX7jDHXAB8C7gReDZwA/hr4oLV2YDra0ZQkCaJSvKNSzxwoDXVPfrCcU/+xfZxerLYvtID2uvZGpsNQ1w1w+FkA/H0PAm+f0fYy6UF2fuuT2IFDEIphwzFMOIEJx3GjCdxognCyhViqjURjG8mmNlJNrTjnsXR3qVggFApjHN1LnG6PffFuNjz7f8iZOD3RZWQaVmDb1hDvWk/bso20LFhCuVSiVMxTLhXwSiXKpQLlQpZcuo/icC+lkX78bB8mN4iTH8AtZ3H8Eo4tVbdlXL+M50TIbvyvXPPa35jxP8szC7Yt33DNjLYn9aOA4TxYa48AvzSTbShgkCDyk51QnUFj0yfr25l5QDUY5p/my2+Hw58EYMng4+c4empOHT/I8KdfxzbvwAWd51vDsIlTJoTFYKksB3t638EnabPETZGjZiH9t/wxm2/92Zn4CJespTv/hpTJkSJHZ6EfCk9DH9OwZMpZPP0MT73wTZa97VO0LZi55ZuP7niIBdX9A9H1XK6CbfOWbiMEhHIYJIjc1ILR/ayqPU/VuBoMDUvr2BOZLquvfHltNbFF9iTHDzw/I+0c3P043t/dzuoLDBYAHGNpJEsrw7QxRDuDtDNIBwN00k87g8RNEYAl9gRXPPgrPHrP72kp5WlSLhXptLNfp+Oq7A/hb2/g6fs/P2NtlA6Nrvmigm3zm0YYAkIjDBJEkebRas/RvAKGqXKHj9b2nZZldeyJTJdINMbu+Ga25H8MwNEnv82ilZdNaxs7H7mXZd99O41kAShZlycWvhEbSUIpj1POYsp5HC+PW84SKaeJl9Mk/AxJO0LKXNgNKcdYrj/4cZ78qx2seNsnaWlfqGlKU9DbfZguYwEYIMXhWz5M7sQeTP8+GtIH6SgeocFmKJsQJUKUCeGZEGUTwiNMLpSiEGqkFG3Gi7VAvBU32YoTa8AJxXBCYdxQBCcUxQ2FGfrx59nW+yUA2hii7Qe/xvZd3+SKX/oYyVTzZF29YM19z9T2VbBtflPAEBAKGCSIEq2j02aSJVV7nqqkajDMS7klN8KLlYDBOfgDKmtiTI/Hv/4JNj/xe0SMB0DGxth/299y/ctff97XKJeKZIYHKJWKgAXfYrFYa7HWx3VCJBqbyY4M0/MPb2KJF/buAAAgAElEQVRjsZKTsTXzA/ibjZStQ9okyZgGsm6KfKiRspugOrPpDAbPjeKHEthQHMIJbDiOiSRxInGMG8EJRzGhKG44jBOKE21oYtWmGwjN0+ksgycO0FXd73UXsOW2N85sg9texY4Hf4qFD76XDippltv6v87Ru3/Mnm3vJ9bcRSgSIxSJE47GCEViRGJJko0txOLJc17eK5cZGR5gZLCXy8q7a6+rYNv8poAhIBQwSBA1dowW4GnyFDBM1dgaDE2LtKTqfNG+6VXw4kcAWJF+Auv7U74jb32fRz/zv3jZgY/XvpifooXhn/ksmzbfcEHXCoUjNLUtOOdxiYYmmv7n/Wz/1G+w7dQXR883Pi2kabFpKJ+A8gU1f16e/Y+tXPE798/LkYxM7+Ha/kj03H8O02HzK36GwStu5Ml//FW2Zh4CKtPNljz6PyY9r2hDZEyCjEmQd5IU3CSOLRP3Roj7GZI2S4PJ0QQ0jTnvqFnIEhVsm9cUMASEllWVIGrpGB1haLFDeOUybmh+/9jIZ0d45tO/QSq9n2y0k1LDQpzmpURbl9HQuZzWhStobus6r1VnxiqXinT4vbUvfwuWKmCYL1ZdcT2DX2mgmRHaGeSJ+/6JhRtvoH3hciLR2DnPHx7s4+SBXQwde55Sz4uEB/fTnNnPy7x9tWMOOsuI/eKXWb1s7Ux+FMKRKNve+Wke//q1tD/9cTq9kyRMYUbbBNhUeJK9Ox5h7ZU3z3hbs63UP1qfo5jomuTI6dXc3sVV7/0aP/7637Lhqf9Nw3lMTYuYMhGGabHD4FF5jDXhqBIcb7qKmUutliCY37/55xAlPUsQRWMJBql8EQoZn76+7hldcSMInrn3/7Gt72uVJ0UgTWUh5TFK1qXPNDLstpAJt1KItuHF26FxEbGOVTQtXsuCZetINIzeg+s9cYiu6rSSXpppVw2GecNxXfYnt9bu5F792Lvhscp7/TQy4LaTCbfh2BJhL0/YzxOxeWI2T8wWaDQ5Gie5/q7IFpb8+pdpapm9hXivee074LXvAKBYyJMe7GVksJfccC+FdD/l/FnqlVoPr5jDFrPYYgZbymGKGUw5V8mz8EsYv7oMqF+ko3CYRbayAlvfD/95XgYMDI/WsLGNs3sX3jgO177unRy/8ifY9fU/Jpk5jOsXCdkSoeo2bItEKZC02drUt3NJ2zh5E8Ni6AsvZPFrPzDDn0TqTQFDQGhKkgTVoNNCsz8CwNCpY/M+YKBn9zkPCRuPDgbo8AbA2w95YAjoZtwyif00ciq0kFy4hebCaP6CajDMP966n4SnHnrJ660M0+oNV/6eTOQsd2yhshzq4y0/yZZ3fJpoLDFNPb1wkWiMtgVLZuTf/rMPfYVFD/wiAGt7/oNyqTjvchkimdE7DqHW+qyOtmjFehb95mcmPcb6PvlCjpGhfnLpfnLpQYqZQZxQhFiqlXiqmURjGw2pZlKhEKnqeZ0z330JAAUMAaGAQYJqJNwGhcqQeqbv2DmOnvui2dE8g+3tr8dPdOCmjxHLnaSxeJJWv7e2Ws25tDJMa3n4JXO+0wktqTrfXP2aX+PRkVNEj20nWTxFc7mXNjuAW10dZzJFG+K4u5CB2FIKjStx2teQXLieBas3cV3X/F5Na+MN/4VTD7TQwQBtDLHj4a/PuxoQDYXRnymJ9uD+eRrHIRZPVhKfu/QzSsZTwBAQChgkqPLRdqhOYc4PnJj84HmgoTi6fGzz9W9l/TW3veSYfC7D4KnjDPceJztwguJgN166G2f4GInMUVqKJ+j0eyYc3u+hlcZXvGtGP4PMPsd1uf4tfzjutXKpyMmTRxjsPkRu8CRuOEo41kA43kAkkSKWSBGJN9CQamZFKMSK+nS9rtxQiH0L7qTj5OcAKD71OZhnAUNzebQGQ3OXVkeTuUkBQ0Aoh0GCqhzvgOHKvjfcPfnB80CrNyZg6Fo+4TGxeJKuZWvpmiQB1SuX6T5xkP6jeykM9xBvXUzb4jW0L1hK5wUmTMvcFApHWLBkNQuWrK53VwKt48ZfgC9XAobLhx5iZHiAhsaWOvdqepSKBdrtAJjKFLP2hRP/TBEJOgUMAaFVkiSwGjrhZHU/01PXrsy0Qr5SDRfAs4a2BRc/LO+GQnQtXUOXVkMSmdSqK67nwFeXs9I/RNwU+fEDn+Xa172z3t2aFr0nDrKwOi2t3zTRfh6rZokE0fxb8HiO0pQkCSq3cXQZwFB2fld77jsxul56n2mZd8mXIkFkHIfuFXfVnsd2f3GSo+eWoe5Dtf3+kNKDZe5SwBAQChgkqGItC2v78ULvJEfOfUM9o7/cB0Nax0hktqy89W34trJk1Mb8U5w6frC+HZomI72jP1Nmq2ibyExQwBAQeU8BgwRTQ9to8baG8vyu9lyPiqwiAl1L17A7uhkA11j2PXBPfTs0Tcp1KtomMt0UMASEchgkqJo6Rtdeb/bnd8BQHjha2y8lFDCIzKbMhtHVkToOfLWOPZlGY4q20TS7RdtEppMChoDQlCQJqua2Lsq28qOiiQyF/PnVIJiThkeXjbWpRZMcKCLTbcNtP0/ehgFY7R3gwK7tde7R1EWzoz9Twi2qbSBzlwKGgNAIgwSV47r0m+ba84FTxyc5em6LjPnlHmrW3UCR2ZRqamVX4021590P/3MdezM9koXRleWSAS7aJnIuWla1zgyVJK+SX6Lslwk5+iOR4Bl2W+j0KtORhk8dm7dLhSbyo6tAxfXLXWTWuVe+EX7wPQBWn/gWvufhnGfdkpHhAboP7KKYTYMxGGMqv2NN5ZFs7mDJ6k0YZ/bulbaWRwOG5oUq2iZzl76d1pkxprZf8AoKGCSQMuFW8PYBkO2fvyMMzeXRgKGpUwGDyGy7/OafZuAHv00Lw3TSz84ffZMrbnrtuGOG+k9x8JkHyR3fjel/kYb0ATqLR+hggHPdytgRu5plv/JZmttnPgG5WMjTaodqRdvauvQzReYufTutM8eM3unIlXMkw8k69kZkYoVYB1TTbIqDJyY/eI7yymXaqhVZAdoXrahrf0QuReFIlBfaX8m23i8BkH38c9gbXsPB55+g+/Gv03TkAdYVn2OL8S/q+pvzT/DkP/4KW3/7G9PZ7Qn1njjEomrRtl7TQmckOuNtiswUBQx1NjZgUOKzBJWX6IDB6n765OQHz1EDPcdoN15lnxQtiYY690jk0tR8/c/DNyoBw6aB/+Tkh9axklPUJvSYic8rWpcT7iKybiNgK4dZi8GS8IZZaiujo1tGHqb78F66lq2d0c8x2H2A00snDIQ6UNk2mcsUMNSZGfOTTwGDBJVJjS4x6mR6Jjly7ho4eYjTpdoGnDZa6tobkUvXuq2v4Mg3F7HUHiduisR5aYX5ve4aBpo24LetJb5wPW3LrqBr+TqWT1Kdfdef3sLlxWdwjeXAdz9B1y//1Ux+DLKnRou2ZVTXReY4BQx1duaUJJEgCjeNzvcN5176y3s+GDk1WrQtHdW9QJF6MY7DsVVvYOm+v669lrZx9qauw1vzKlZefxdruy58idL8lb8Ej70bgNVHvky59GeEJgkwpmpsXZdicuGMtSMyGxQw1NnYpGdVe5agireM1iRIFPvq2JOZUxzzy70Q191AkXq69k0f4NF/C2FzAzRufCXrrrmdrVPMAdh0+5voe+wPaWOITvp5+sEvcuUr3zxNPX4pM3xs9ImKtskcp4ChzjTCIHNBqn00YEiV52fA4A+N/nL3GlS0TaSe3FCI69/ygWm9ZiQa44WFd/GyE5X6DubJe2AGA4bIuKJtS2asHZHZoMJtdeagpGcJvubO0eH/Fn8Q61/cCiVBFsp01/bdJgUMIvPRsle+o7Z/RfYxug/vnbG2GsYWbetYPmPtiMwGBQx1Nm6VJE1JkoBqSDWTs5W5vglTIDMyVOceTb9EbnT1p1jbhc+PFpHgW7zqcp6NXgVQS36eKa3eaL5Xi4q2yRyngKHOxuUwaIRBAso4DgPO6LpBAz1HJzl6bmosjf5yT6lom8i8VbrybbX9SvJzcdrbKOSztFG5seJZQ9sC3YSQuU0BQ50ph0HmimG3tbaf7j02yZFzj/V92vzR3IxW3Q0UmbeuuO1N9NEEUKkm/eAXp72N3uOjS6r2mtYZXY1JZDYo6bnOxtZhUMAgQZaLtkG5st9+36/zxCNbKC26jvaNL2fFxmun/AuxXCpybP9z9O1/imLfIVo33sq6rS+fhp6f2/BgH02mAEDWRmlsaj3HGSIyV0WiMV5YdBcvO346+fkfLyj52fo+Jw7vxS+XiCYaiMQbiCcaCIcjGKdyE3Cw+wCn10UaCHWidddkrlPAUGeq9CxzRb5xFWQeBip35TrT34M934M9f0HmyzH2RlZjMYRsEdeWCdkSIVskZMsUTZSM20Q+3EQp2oIXbcYm2gBLuG8PLZl9LC0fYbkpczo1MLv3b+huf2TGq7EC9HcfrN5vhD6njaWOBl9F5rNlP/EO+OdKwLAp++NzVn4uFQvs2X4fIzvuZVnv91lkX1rAsmwd8kQZdJoh3FF7PRtTXReZ+xQw1JmSnmWuWPtf/idP/et+1o/8mET1bvxpSZNnQ2nX2U+2QPl4ZYTibANpZvzThCnw7A+/SNey351Kt89L+uTo9IGhSCeabSwyv1WSn7eyqfAkjrEc/M7f0vUrdwPglcsMD5xiZLCHnhd+jH3+W6xL/4gryE56zZDxaSBHg82xpDi6pGoxqVXXZO5TwFBnSnqWuaJ90XLaf/ublEtF9u7aTt/uhwgfe4ylIzvopH9a2uihlayTZIV/BIDI4YeAmQ8Y8v2jSdw53Q0UuSSUrvwF2P4kAJuP/AvHPvgNUnaERjK0AC1w1psHIzbOoNNE1BaIUiBmC0SMN+GxpkVLqsrcp4ChzsbWYVAOg8wFoXCEtVfezNorb6691n14L6cOPocTCuNGooTCUUKRGKFwjFAkSiGbJjt0ivzQKUrpU3iZfky2D/wSpn0djcs3s2jd1XS2tHNk7zPwr7cAsC7zJKVigfAUK7yeizemaFs5uXBG2xKRYNh0+5vp3f5HtDNIwhRI2JOTHt9NB4fabyGx+S7Wb7uDJdHYuPdLxQK57AiHn32YzDNfZXHfj0iHWlh3+y/O3IcQmSUKGOpMqyTJfNC1bO205RosWb2JE3SwkFMkTZ7nnvweG6+/c1qufTbuyOj0AUdF20QuCeFIlBfX/xrte/7iJe8Nk2TYpEiH2hhceBOd176eVZdfR9ck+U3hSJRwJMoVN98FN981k10XmXUKGOpMU5JExjOOw5HW61nYfy8Awzu/AzMcMESzo1WeIy1LZrQtEQmObT/3fg69cCe5kQGSTe2kWhaQam6nMRSisd6dEwkQBQx1pqRnkZdy19wOj1UChpbuh2e8vVRxtGhbQ6fmG4tcKozjsPyyrfXuhkjgae3AOhubw6ARBpGKNdtejW8ro29rSi8w1H/qHGdMTavfW9tv6VLAICIiMpYChjobOyVJOQwiFU1tC3gxXMmJcI1l32PfnLG28tkRmhkBoGRdWjsWn+MMERGRS4sChjrTlCSRifUtuLG2X3rh/hlrp/f4wdE2TSuO685YWyIiInORAoY60ypJIhNruuKO2v7SgUexvj8j7QyNKdo2OKY6q4iIiFQoYKgzg1ZJEpnImq23krGVdc4X2R6O7X9uRtrJ9R2p7WejChhERETOpIChzsaOMBS8Ar6dmbuoInNNJBpjb+LK2vNjT8xMHkNpcLRoW1FF20RERF5CAUMAxEPx2r5GGURG5Ze9vLYfOfT9GWnDSR8ffdKoom0iIiJnUsAQADF3tLy8Ep9FRi26+tW1/TWZJykVC9PeRmRM0bZws1ZIEhEROZMChgCIhcYEDBphEKlZumYz3bQDkDI59j01/aMMyULP6H77smm/voiIyFyngCEAxgYMWilJZJRxHA63bKs9H9j5nWlvo7k8WrStcYGKtomIiJxJAUMAjJuSpBEGkXHctbfX9ltOPDyt1y6XirTZgdrz9oUKGERERM6kgCEAxiY9a4RBZLzV1/0Uvq0sP7y29DxDA73nOOP89Z08gmtsZZ8mItHYOc4QERG59ChgCIBxqyQp6VlknOb2LvaF1wDgGsu+x749bdce7B4t2jbgtk/bdUVEROaTORkwGGPWGmN+xxjzgDHmiDGmaIw5aYz5mjHm1nOc+zZjzGPGmBFjzJAx5kFjzGsmOT5ujPmgMWaPMSZvjOkxxvy7MWbDdH0eJT2LTK53wY21/dIL/zlt1830Hq7tj0Q7p+26IiIi88mcDBiA/w38ObAA+BbwV8AjwE8BDxhjfnOik4wxHwbuARYCnwL+BdgE3GuM+e8THB8Fvgt8ABgG/hr4T+CngceNMdvOPOdiKOlZZHKNG19V21/S/6Npu26x/2htvxBfMG3XFRERmU/masBwH7DVWnu5tfbXrLW/a619PXA7UAL+0hgzrmSrMeYG4L3APmCztfY91tp3AlcD/cCHjTErzmjnt4AbgS8C26y1v2OtfTPws0AC+AdjzJT/H45NelbAIPJSa66+layNArDYnuTY/l3Tc+Hh0aJtNqUaDCIiIhOZkwGDtfYea+1TE7z+feBBIALccMbb76hu/8Ta0WVRrLUHgY8DUeCXTr9ujDFjznmftdYfc87XgB8AG4HRUrQXSZWeRSYXjSXYm9hSe370Wx+mt/vIlK8byowWbXObVeVZRERkInMyYDiHUnVbPuP126rb+yY459tnHAOwGlgGvGCtPXCe51wUJT2LnFtu6Whsvq33y7T87Sae/bNX8NiXPsJQ38mLumZiTNG2eNvSKfdRRERkPgrVuwPTyRiznMq0pCzw0JjXk8BiYMRae2KCU/dWt+vGvLa+un3hLM1NdM7Z+vXEWd66DJT0LHI+1tz2Cwy88ElaGAYqKyZtKjwFzz5FcceHeCZxDYV4J045h1vO4fp5wl6esJ/HGodsuIVitI1yvA3T0Eko1ck1xWdr1091qgaDiIjIROZNwFBNUP5XKlOL3jd22hHQVN0OneX00683T/Gci6IcBpFza+9axtC7Hmf7/f9Mw4tfY0NhJ061hkLEeGzJbYfJ/vmUqbw/OPHbbSraJiIiMqG6BQzGmIPAhfyG/ldr7c+f5Vou8BkqCcr/Bnx4yh2cRtbaqyd6vTrysHXcCIOmJImcVVPbArb9198GfpueYwfY//1/oWX/vawv75nSdY+YRSxtbJmeToqIiMwz9Rxh2AdcyLfj4xO9WA0W/gV4A/DvwM9ba+0Zh50eDWhiYqdfH3vv8WLOuShKeha5cJ2LV9L55j8A/oBj+3dz7MlvY63FjSYqj0iSUCxJOJbEKxfJDXRTGu7BG+nBZHoJ5/sIl4bJx7voeOW76/1xREREAqtuAYO19vapXsMYE6YyDekNwGeBX7DWehO0lTHGHAMWG2MWTpDHsLa6HZuvcPqW5dlyFCY656KoDoPI1CxetYHFq6atlqKIiIiMMWdXSTLGRIAvUAkW/hl460TBwhgPVLd3TvDeT55xDFRGQA4D64wxK8/znIuiEQYRERERCao5GTBUE5y/AtwFfBr4pbF1Es7iE9Xt7xtjapOVq8Xa3gkUgH88/Xp1WtPpc/7P2AJtxpi7gJuB54DvT+WzgJKeRURERCS45uoqSZ8AXg30AseAD1TqrI3zoLX2wdNPrLU/NMbcTaV68w5jzBepFHj7OaAVeFe1iNtYdwOvoVLZebsx5n4qtRneQGXp1v92HoHKOakOg4iIiIgE1VwNGE5PEWoHPjDJcQ+OfWKtfa8x5lkqIwpvB3zgSeAvrbXfOPNka23BGPNK4P3Am4D3AMPAV4E/tNY+N8XPAagOg4iIiIgE15wMGKy1r5jCufcA91zA8VkqQclkgcmUKGAQERERkaCakzkM841yGEREREQkqBQwBIByGEREREQkqBQwBMCZdRheWndORERERKQ+FDAEgGMcom609rzgFerYGxERERGRUQoYAkKJzyIiIiISRAoYAmJs4rPyGEREREQkKBQwBMTYxOdsOVvHnoiIiIiIjFLAEBDjVkrSlCQRERERCQgFDAGhHAYRERERCSIFDAExLodBAYOIiIiIBIQChoAYV4vBU7VnEREREQkGBQwBoSlJIiIiIhJEChgCYmzSc66sEQYRERERCQYFDAGhVZJEREREJIgUMASECreJiIiISBApYAiIcUnPmpIkIiIiIgGhgCEgNCVJRERERIJIAUNAqA6DiIiIiASRAoaA0JQkEREREQkiBQwBMW5KkpKeRURERCQgFDAEhEYYRERERCSIFDAEhJKeRURERCSIQvXugFQo6VkmY63lSPoIu/t3Y7FEnShRN0rEjdS2YTeMa1wc4xAyIRzj4DouACPFEYaKQwwVKo/h4jBDhSEc49Aaa6Ut1kZrvJWWaAut8VZS4RTGmDp/ahEREQkCBQwBMXZKknIYxPM99gzs4amep3ji5BM81fMUvbneWWs/5IRIhVMsSS3hfde+jys7r5y1tkVERCRYFDAEhHIY5p5MKUNPtoeiV6ToFbFYAAymdnfeYCj5pdod/TO3Ba9AwSvUrlH0ihT9IsdGjpEpZer22cp+mYHCAAOFAT721Mf49B2frltfREREpL4UMATE2BwGBQzBNVwc5sEjD/IfB/+DHx7/IWW/PGttp8IpNnduJhlKUvSK44KNgl+g5JXwrIdvfTzr4fkenvWw1tIQaaAp0kRjtLG2bYw0YrH05/vpz/VXttVHtpyttXskfWTWPqOIiIgEjwKGgFDSczDkyjl29u7kROYEvble+nJ9lW2+j75cH4eGD1HyS7PSl85EJ1d3Xs1VC65ia+dW1jSvqeUkzLTB/CA3/9vNAPTmerHWKqdBRETkEqWAISCibrS2n/fy+oI2S9LFdC1P4ImTT7Crb9cFjRosblhMPBQn4kZwjYu1lWlJtvofgGvc2h39pkgTTdHKozHSWDs34kaIOJFaEnNTtIkFiQV1+zvQHGsmGU6SKWVqU6qaok116YuIiIjUlwKGgAg5IcJOmJJfwrc+Jb9ExI3Uu1uB5/keewf3cnDoINctvI7WWOtZjy14BV4ceJHn+p9jd99unu19lj39e2pf7M/XxraN3LHiDl61/FUsSS2Z6kcIrPZ4ey2P4lT2lAIGERGRS5QChgCJhWKUipXpLrlyTgHDBApegZ29O3ny5JM82fMkT/c8zUhpBICWaAt/fNMfs6ppFT3ZHnpyPZzMnGTf4D529+/mxYEXKdtzjx6saV7D2pa1tMfbaYu1VbbxNtpibSxILpg0KJlP2uPtHBo+BEBvvpc1rKlzj0RERKQeFDAESNyNkyYNVAKG+XxH1/M9Cl6BeCh+1mk3mVKGvQN72dO/hz0Dlcfzfc9T9IsTHj9QGOCd97/zgvrhGIcNrRvYumArVy+4mq2dW2mJtVzw55mP2uPttf3ZXNJVREREgkUBQ4DEw3GoLpA0HxKfS36Jwfwgh9OHOTR8iIPDBzk0dIhDw4c4nD5MyS/hGpeGSAOpcIpUpPKIuBEODh3k6MjR82qnI96BZz368/3nPHZZahkb2jawsW0jG1o3sKl9Ew2Rhql+1HlpXMCQVcAgIiJyqVLAECDjqj3PkeJtmVKGe/fdy45TOxgoDDBUGGIgX9mmS+lznu9Zr1Z9+Hwtb1zO1s6tlVGBzqtZklpCX76PP93+pzxy7BEaIg10xjvpTFQeS1JL2Ni2kctaLyMVSU3l415SNMIgIiIioIAhUMZVew74CMPh4cN87vnP8ZUXv3LRBcYiTuSs04sAQibEiqYVrG9dz7qWdaxvWc/61vXjvsie1h5v5+5X3H1R/ZCJjf3/fCp3qo49ERERkXpSwBAgQa/2bK3l0ROP8q+7/5WHjj50ztWFDIamaBOLGhaxvHE5KxpXsKJxBcublrM8tZyGSAMlr0S6lGakOEK6mCZdSpMtZVnUsIhVTauU+F1HHfGO2n5frq+OPREREZF6UsAQIHE3WMXbrLUcGznGM6ee4ZlTz/DoiUc5MHTgJcetbFrJz679WZY3Lqcp2kRztJmWWAupSArHOJO2EXbDtLqtl8zKQ3OJpiSJiIgIKGAIlOkeYbDWMlAYoC/XR3++v/Y4/RwqBeNioVjl4Va2mVKGHad2sOPUDvryZ7+zfPPim/n5DT/Pyxa9TEXm5iFNSRIRERFQwBAo8dCYEYaLTHr2rc+OUzu4//D93H/4fo6kj0xX9wBIhBK8bs3rePOGN7O8cfm0XluCpTnajGtcPOsxXBym6BU1RUxEROQSpIAhQM42wjBSHOH5/uc5nD5MxI2QCqdoiDTQEG4gFUmRDCfZ2buT+w/fz/eOfG9ap480hBvY3LGZzR2b2dKxhas6ryIZTk7b9SW4XMelNdZaG13ozfWyqGFRnXslIiJBVfJKPNnzJGW/zKqmVXQluzQDYZ5QwBAgYwOGB488yDM9z7C7fzcHhw9e9DXjoThdyS5aY621R1usjZZYC67jki/nKXgFcuUchXKhNrKxoXUDWzq2sKp51TnzEGT+ao+3K2AQEZHz8vGnP86nd3669jweirOqaVXl0byKtc1rubbrWhLhRB17KRdDAUOAjE16fvTEoxd9ndZYK7cuvZXblt3G9Quv1zQSuWhKfBYRkfP1jf3fGPc8V86xq28Xu/p21V6LOBGuW3gdty69lVuW3EJXsmu2uykXQQFDgLTF2yZ83TUuq5tXs6Z5Ddba2jKkI6XKUqQjpRHaYm28fOnLuX3Z7VzZcSWu485y72U+6kiMLq2qgEFERM6mJ9vDyexJoPK9pSHSMGFR1qJf5OFjD/PwsYeByoyGVyx9Ba9Z9RqWNS6b1T7L+VPAECB3rLiDHx7/ISczJ1nfup6NbRvZ0LqBtS1rx01XEpktbbHRIFYBg4iInM2zvc/W9rd0bOGeO++hP9/P/qH9HBg6wOle+UkAACAASURBVIuDL/L4ycfZO7B33Hm7+3ezu383f7fj73jdmtfxji3v0KhDAClgCJCmaBMfufUj9e6GSM3YEQYtrSoiImfz7KnRgGFT+yaMMbTF22iLt3Ft17W1946mj/L9o9/nwSMP8nj345RtGQDPenxp75e4d9+9vHnDm/nlK36Z5lhz7bx0Mc1j3Y+xonEFq5tXz94HE0ABg4hMQjkMIiJyPnb27qztb+rYdNbjlqSW8JYNb+EtG95CupjmkWOP8IUXvsBj3Y8BlSlL9+y6hy++8EXedvnb2Nq5la/t+xrfOfgd8l6esBPmW6//lkYhZpkCBhE5q7EBQ1/u7EX8RETk0uX5Hjv7RgOGze2bz+u8VCTFnSvv5I4Vd/CjEz/io09+tJYgPVIa4eNPf/wl55T8Eo91P8ZrV792ejov50XrZYrIWanas4iInMvB4YNkShmgkvt2oXf/jTHcsOgGPvdTn+PuV9zNyqaVkx6/f3D/RfdVLo5GGETkrM6ckmStVREeEREZZ8epHbX9TR2bLvr3hDGGVy5/JbcuvZV7993L3+34O4aKQ9y54k6ao8186tlPAXBg6MC09FvOnwIGEfn/7d15fFT1vf/x1zeZbAQCCXsCJKwBJYJsKkGt2qoIWne0gktbbevWe+tSvd622t7WtfZ2sT9rr1VatVqV1qpF3EARrLKDEPY9yJqQkH2Z7++Pc2YyCQlkOWFmkvfz8fg+JjnbnPNh8mU+53yXJiX5kuga15WS6hJq/DUUVRbV64QmIiJSr/9Cr6b7LzSXL8bHZcMv49JhlwJOIrHu0Lq6hKFYCcOJpiZJInJM6vgsIiLHEjqkqhcJQ4AxJvi0IislK7h8V/Euqv3Vnr2PHJ8SBhE5pnoJQ4USBhERqVNRU8HGwo3B30/udXK7vE+XuC70T+4PQI2tYdeRXe3yPtK4DpMwGGP+zxhj3TLsGNvdYIz53BhTYowpMsYsMMZMP8b2ScaYh4wxG4wxFcaY/caYvxljRrXPlYhElnodn8vU8VlEROrkFeRRa2sBGNx9MCnxKe32XqGdobcdVrOkE6lDJAzGmIuBbwElx9nuCeB5oD/wR+AFIAd40xhzeyPbJwDvAT8GioFfA+8DlwFLjTGneXcVIpFJQ6tKZ1ReUx4c9UVEmtZwwrb2VC9hUD+GEyrqOz0bY3rjfPl/BegHnN3EdpOBu4AtwERrbaG7/HFgGfCEMeYta+32kN1+AOQCrwEzrLV+d59XgH8AfzLG5ASWi3REGlpVOoN9pftYcWAFK/evZPm+5Wws3Ijf+jm1z6lckHUBX8v8Wr2Zz0XE0V79FxozpPuQ4M8aKenEivqEAXjGfb0NeP0Y233Xff15IFkAsNZuN8Y8BfwIuAn4CYBxetkE9rk3NCmw1r5hjFkInImToMz34kJEIpE6PUs0O1R+iNnrZvPFwS+IMTH4jA9fjI9YE4svxoff+ll3aB17Svc0uv/y/ctZvn85j3z+COP7jueCrAv4auZX6/1diHRmJzJhCH3CoLkYTqyoThiMMTcClwKXWmsPHWfc33Pd13caWTcXJ2E4FzdhAIYCg4CN1trG0ti5OAnDuRwnYTDGLGti1chj7ScSCXon1d1VVZMkiRal1aXMXjub59c+T3lNeYv3Nzijs/jde0UWy9J9S1m6bykPf/4wM0fN5J6J93h92iJtUlFTwb6yfQzqNuiEzJlTUFFAfkk+APEx8YxIHdGu79ewSZLmBjpxojZhMMZk4vQpeMFa+8Zxtk0GMoASa+2XjWyyyX0N/aRnu68baVxj+4h0OD2TegZ/VpMkiXRVtVW8uvFVnln9DAUVBc3eLzE2kZzeOYztPZZT+5zKmD5jqKqt4oMdH/DujndZsncJFguA3/r587o/c032NQxMGdhelyJyXJW1lazav4ol+5bw+Zefs+bgGqr91UzoO4FffuWXpCWmtev7h86/MKrnKOJi49r1/Xom9qRbfDeOVB2htLqUA+UH6NOlT5uOubd0Lx/s/IDymnL6dunrlOS+9OnShyRfkkdnHv2iMmEwxsQAs3E6Od/ZjF26u69FTawPLA+dkao1+zTKWju+seXuk4dxx9tfJJxC222rSZJ4qbiqmOLKYvol98MX07b/jsprynl/x/s8tfKp4B3PgGE9hnFzzs30SOxBrb+WGn8NtbbuNTMlk+y0bOJijv6yM2PkDGaMnMHB8oO8v+N9Zq+dze6S3QAs2rOIa1KuadN5i7RUSVUJr2x4hU/yP2H1gdVU+auO2mbpvqVc+9a1/Obc35Cdlt3IUbxRb4bndm6OBM68DIO7Dw6+79aira1KGEqqSnhvx3u8ufVNlu5dGrwZ0FBKfArpXdPJTc9l6uCpjEgd0WmfaIQtYTDGbAcyW7DLi9bame7P/4nTd2BaaH8EEfFej4QexJpYam0txVXFVNZWkhCbEO7TkihQ469h95HdbCvaxu6S3ewp2UN+ST57Svawp2QPR6qPAE5ThqE9hpKdlk12ajbZadmMSB1B94Tuxzx+QUUBb255k4W7F7J8//KjJnLqn9yf20+9nWmDpxEbE9uma+mV1ItrRl5Dra3lkc8fAWBR/iKuGamEQY6voKKAd7a9wym9T2F0r9GtOka1v5o5G+fw+1W/b9bTsz2le5g1dxa/mPILvpr51Va95/F4PcNzcwxOqUsYthVt4/T+pzdrv2p/NYvzF/PW1reYv2s+lbWVx92nuKqY4oJi1hes59kvnmVI9yFMHTyVqYOnkpnSkq+w0S+cTxi2ABUt2H4PgDFmBPBz4Dlr7b+auW/gaUBT//sElh9u4z4iHU6MiaFnYk/2l+8HnH4M6V3Tw3xWEml2HdnF8n3L2VG8g61FW9lWtI2dR3ZS46857r5V/iryCvLIK8irt7xPUh8yu2cyqNsgslKyyEzJJLN7JsWVxbyy4RXmbZ/X6GyvPRJ6cMsptzAjewbxsfGeXSNAbnpu8OfP935OdW11uzfDkOj3wCcP8En+JwBcPvxyfjD+B8dNiAOstSzYtYAnlz3J9uLtR63PSsliUr9JTOw3kQn9JrD24Fp+uPCHlFaXUl5Tzn8u+E9uHXsr3znlO8QY70bTt9ae0A7PAUN6NH+kJL/1s3L/Sv617V/M2z6Pw5VHf2WLMTGc1u80hqUO40DZAfaV7WNf6T72l+2nxtavv7YWbeWplU/x1MqnGJU2ikuHXcqVI670vJ6JRGFLGKy157Vy15OABOAmY8xNTWyzyX1kdJm19h/W2lJjTD6QYYzp30g/huHua2h/hQ3ua1N9FBrbR6RD6tWlVzBhOFh+UAlDB5F3KI+dR3bSP7k/6V3T6ZnYs9mP22v9taw5uIYFuxbw0e6P2Hx4c4vfPyE2ga5xXTlU0Xhn+v3l+9lfvp8le5c063jDegzj/MzzmXnSTLrFd2vx+TRHZkomGV0zyC/Jp6ymjJUHVjKx38R2eS/pOFbsXxH8ec6mOSzYtYB7J97LRYMvOubf3NqDa3li6RMs3be03vJ+yf34zinf4ewBZx813O/ZA8/mxYte5I4P7wjOhvz7lb9nU+Em/if3f+gS16XV1+G3ftYeXMsnez5h/s75FFcVA06SPqDbgFYftyUGp4SMlFR09EhJ1lo2Fm7kX9v+xdxtc/mytLGuq5Cdms3FQy9m6uCpjTZr8ls/BRUFrD6wmne2vcOC3QvqDaCQV5BH3ud5/Hndn7nz1Du5cPCFniZkkSYa+zBsB55tYt00nLkYXsWZaG17yLoPgVnAhcBzDfabGrJNwBZgJzDCGDO4kZGSGttHpEPSXAwdz4t5Lwab1gQkxibSv6uTPKQnp5Mcl0xcTJxTYp1XX4yP9QXr+Xj3x81qFtG3S18Gdx9MZkqmc9yu6WQkZ5DeNZ20xDSMMRyuOMzGwo1sKNzAhoINbCzcyObDmxt9etDQKb1O4fLhlzMlYwp9k/u2Oh7NZYwhNz2Xv238G+A0S1LCIMcS6KAbqqCigPsW3sebW97kgdMfYGC3gcHlK/atYOm+pSzfv5x1h9bV269rXFe+nfNtrht1HYm+xCbfc2iPofx12l+566O7+OzLzwB4b8d7LNm7hNTEVBJjE0n0JZIYm0iCL4HkuGTSk9PJ6JpBRrcMBnQdEOxbVFhRyKI9i/gk/xMW5y+msPLoluCje40+YW37Q0dKWrZvGRe+fiG1tha/348fP9X+aooqG+9+2rdLXy4achHTh0w/7ohOMSaGXkm9OHfQuZw76FzKqsv4ePfHzN02l4X5C4P1U35JPj9c+ENmr5vNXePvYlL/Sd5dbAQx1jbe0SMaGWMW4PRtGG6t3dxg3WRgEUdP3JaFM3FbMjAydOI2Y8z9wC84euK2r+NM3LYOaPXEbcaYZePGjRu3bFlTo66KRIYHFz/I65ucaU5+dPqPuDr76jCfkbSWtZbfr/o9T6962tPjxsfEM6n/JEaljWJw98EM6T6ErO5ZJMclt+p4Nf4aviz5ku3F29lRvCP4urN4JxW1FXxl4Fe4OvtqTu55sqfX0Rwf7PyA/5j/HwCMTBvJqxe/esLPQaLH5sLNXPbPywDontCdhNgE9pftD65PjE3knIHnsL5wfZNNbHzGx9XZV/OdMd9p0chH1f5qnljyBC+tf6nF5x1rYumV1Iv9Zfub7BQc8PjZj3Nh1oUtfo/WqPHXMOnFSc26oQBOzM/PPJ+LBl/EuL7jPHkKUFxVzBub3+CZ1c8c1czpzIwz+f647zOkx5BGB1IIp/Hjx7N8+fLlTQ3GcyzR+IShVay1i40xT+LM3rzaGPMaEA/MANKAOxrM8gzwJDAduBL4zBjzAc7cDFcBZcA3NcuzdAYaWrVj8Fs/j37+aL0vD1kpWST6EskvyedI1ZEWHS8tMY2vDPwKZw84m9P7n96mpg4N+WJ8DEwZyMCUgZzJmZ4d1wun9TsNn/FRY2tYX7Ceg+UHNZGbNGlv2d7gz9mp2fzm3N/w2xW/5aW8l7BYKmormLt9bqP7GgznDTqP74/7Plnds1r83nExcdx/2v2MSB3BL5f+MjjQQHPU2lr2le07anlaYhpTMqYwoe8EUhNTyUrJatW5tZYvxsd1o67j+bXPN7lNki+Jcwaew7Qh0zij/xme9zNKiU9h1kmzuHTYpfzpiz/xl3V/CXaiXpi/kIX5C51zNT7nSY77NCcpLomJfSe2OPGLBJ0mYQCw1t5ljFmDMyv0LYAfWA48bq19q5HtK40xXwPuA67FGZ2pGOfpwk+stesa7iPSEYVO3qahVaNTtb+aHy/6MW9travqctNzefIrTwa/6BdXFfNlyZfkl+Szt3QvlbWVVNVWUe2vpspfRXVtNdX+alITUzkz40xG9xrdodvsNqVrfFfG9BnDsn3O0+FP93zKxUMvDvNZSaTaV1r3pbtfcj+S45K5b9J9TBs8jYc+fYgNhRuC630xPkb3HM34vuMZ13ccY/uMJSU+pc3ncMWIK5g+dDoHyw9SUVNBRW2F8+r+XFxZTH5Jfl05kh/stxZjYhjTewxTMqaQm5HLqLRRYf+7v2vCXcw6aRblNeXEmBhiTWzw1RhD9/juJ2Qwgm7x3fj+uO8zI3sGT618ijc2v1HvaUyNraGkuoSS6pLgsk2Fm3hz65vcPvZ2rs6+us1DSrdEW1oVdaiEwVr7lWZs8zzwfAuOWQb82C0inVLo3VMlDNGnoqaCuz+6m492fxRcdmHWhfxiyi/q/aeaEp9CSlpKu47b3lHkpucGE4ZFexYpYZAmhT5h6Nulrp9NTu8c/jr9r/xz8z8prCxkTO8x5PTKOWbfhLZIiE0go2tGs7cPzBqdmpjqSdLitbZO2Oalfsn9+Fnuz5g5aia/W/k7lu5dSllNWXCm+IaOVB3h4c8f5rVNr/Ffk/6LCf0meH5ORZVF5BXksaFgA3kFeaw/tJ71BetbfbwOlTCISPuolzCUKWGIJkWVRXx//veDX24BrhpxFQ+c9kCb5ybozCZnTOY3K34DwOL8xfitP+x3XSUy7S2tSxj6Jferty4uJo4rRlxxok+pWRJ9iZ1uroG2yk7L5rfn/hZw7ubX+Gsory0PPs3ZVLiJJ5c9yc4jOwHnacNN825i6uCp3DX+rjYP3LCxcCN/3/R3Ptz5IXtK9xy1/nh9UY5FCYOIHFe9hKFCCUM02H1kNy/kvcCcTXPqDQX47Zxvc+epd3ba2Uq9MiptFGmJaRRUFFBYWUheQV5YOmBL5AttkhT6hEE6NmOMM7pcbFzwCc2glEGcOeBM/rzuzzyz+plg3Tx321wW7FrAQ5MfYurgqcc67FGOVB1h7ra5/H3T3/ni0BfH36GVlDCIyHE1bJJkrW23L5xbi7by8vqXGdZjGJcNvyziRpmIdKsOrGL22tl8sPODox6H3zX+Lm4cfWN4TqyDiTExnJF+Bm9vfRtwnjIoYZDGhDZJaviEQTqf+Nh4vp3zbaYPmc6TS58Mdngvrynn3o/v5WD5QWadNOuYx7DWsmzfMuZsmsN7O96jovboeZDjYuIYnjqcUWmjyE7LZlTaKG769U2s3LGyVeethEFEjivRl0i3uG4cqT5Cjb+GosoieiT28Px93t76Ng99+lDwrstLeS/xwOkPaJz74/BbPx/u/JDn1z7PqgOrjlo/rMcwbh97O+dltna+TGlMbnpuMGFYtGcRN59yc5jPSCKNtfaYTZKk8+qX3I/Hzn6Mq7Kv4qef/jQ4i/djSx5jyd4l3D/pfvp37V9vn2p/Ne9uf5fZa2eTV5B31DHjYuI4b9B5XDbsMib2n3jUDbe2NJtUwiAizdIzqWdwSL6D5Qc9TRiqaqt4bMljvLLhlXrLtxRt4Zvzvsm0IdO4a/xdR81o2tlV+6uZu20uz655ttEZTyenT+b6k65ncvpkNUFqB2eknxH8edX+VZRUldA1vmsYz0gizZHqI8EbIImxiRHZeVjCa2K/ibxw0Qvc8eEdwRnB5++az7+//DffHfNdZp00i4qaCl7b+Bov5r3Y6FC3I1JHcPnwy5k2eFq73MwDJQwi0ky9u/QO3gE5UH6AYanDPDlufkk+dy24i7WH1gaXZXTNoLCikLKaMsB58rBg1wJuG3sb1468tl2HofNbP18c/IKq2ipO6X0K8bHx7fZerVVRU8E/Nv+D57547qiObb4YH9MGT+P6k68/7kym0ja9knoxMm0k6wvWU2Nr+GzvZ5w3SE9xpE7DIVWVuEtjuid05w9f+wOPfv5ocJLU8ppyfrXsV7y+8XUOlh8M/n8YkBCbwPQh07kq+ypOSjup3T9bShhEpFl6Jdb1Y3hsyWPcM+EeJmdMbtMxP979MfcvvJ/iquLgsvMzz+ehyQ9RWl3KE0uf4J3t7wBQWl3KY0seY86mOdxw8g2cn3m+pxOF7SzeyRtb3uDNLW/yZemXgDP5z6R+kzgz40ymDJjSoiEJ20NZdRkvb3iZP6/9M4cqDtVblxyXzIzsGcwcNVNPYk6g3PTc4FCFi/MXR3XCEOjz0pZmCyVVJVT5qxpdF0OM0wk0Jg5fjK9TjCoV2hxJHZ7lWJJ8STw4+UG+Puzr/OzfP2NT4SaA4IhKAWmJaVwz8hpmZM84oZO/mbZM4iBtY4xZNm7cuHHLli07/sYiYTZ77WyeWPpEvWVTMqZw94S7Gdpj6FHbV9dWs/rgalbsX0FRZVFwErCq2ioqaysprS5l0Z5Fwe19xsfdE+/mGyO/Ue9Oyb+//De/+OwXbCvaVu/4yXHJTB08lSuGX8HJPU9u9O5KZW0lu4p3UVxVTEJsQrDEx8aTEJtAtb+ahfkLeWPzGyzfv/y4MRjcfTBTMqYwvs94Rvca3eYh8Jqruraa1za9xtOrnqagoqDeutSEVGaeNJNrRl6j5g5hsGTvEr4575uA82Rs7uVz23ynr9pfzey1s5m/az7xMfGkJqaSmpBKj8QepCakkpqYSrf4bnTxdSEpLokuvi5OiXNeWzpc7r7Sfbyy4RVe3/Q61lquGHEF1468tlnj3FtrySvIY/6u+czfOb/eJGTH4zM+4mLj6BrXlW/lfIvrRl3XovOOBq9ufJWffvpTAC4Zegk/n/LzMJ+RRINqfzUv5b3EUyufCjZpG9p9KNeffD3ThkwjITahVccdP348y5cvX26tHd/SfZUwhJESBokmtf5anv3iWf5vzf/VG6Yz1sRy5YgrueWUW9hTsocle5fw+d7PWbl/ZaMjNzSmb5e+PHH2E4ztM7bR9dW11fwl7y88verpeu8dMDx1OJcOvZS42Dh2FO9ge9F2thdvZ0/JnlaNO90joQcp8SlH3dlpqE+XPuT0ymF0r9Hk9Mohp1eOp089/NbPvO3z+M3y37C7ZPdR733TyTdx+fDLPX1PaZnq2mqmvDwl2FzgzUvfJKt7VquPl1+Sz70f38vqA6tbtX+siSUzJZPs1GxGpI1gRKpT+nbpi9/62VO6p97fyLaibSzft5waW1PvOL4YHxdmXcjp/U+nS1wXkn3JTkLiJiU7i3cyf9d8FuxeUO8uemv5Ynx8cs0nJMclt/lYkeR3K37HH1b/AYBbTrmFO069I8xnJNFkb+le5m2fx7Aewzgj/Yw2P5VTwhCllDBINDpQdoCnVj7FnE1z2jQJTMAZ/c/gkbMeadaj1UPlh/jnln8yZ9OcYH8Kr8SaWM4ccCaXDr2UswacRVxsHDuLd7IwfyGf5H/Ckr1LqKytPOYxknxJXDL0Er4x6hsM6T6k0W381k9FTQVlNWVU1FRgjCEhNoG4mDjiY+OJj4knxsTw6Z5P+d/l/3vUSBh9u/Tlu2O+y9eHfr3eLM0SPnd8eAcLdi0A4L5J97X6Tvm729/lwcUPBgcX8FK3+G5U1lQ22VzIKz7jo1t8t0bX1dpaavw1VPmrqPHXHLX+2fOfZVL/Se16fifaf3/y37yx5Q0AfnT6j7g6++own5F0Zm1JGNSHQURapHeX3jw4+UGuHXktjy99nM++/KzJbQd2G8jEfhMZ1G0Qib7E4BfiQLOgvl36clLP5nfW6pnUk5tG38SNJ9/Iiv0reH3T67y7/d0mn2TEmBjSk9NJS0qjurY62ByqqraKSn8lNf4ahvcYzlczv8q0IdPqzTcBziQ716Vcx3WjrqOipiL49OSLg1+w9tDao552lNeU88qGV3hlwyvkZuQya9Ss4AhFS/Yu4cmlTzZrYh2f8R11xzclPoWbc27mmpHXkOhLbFa85MTITc8NJgyL9yxuccJQUVPBY0se49WNrwaXxZpYbht7Gzm9czhccZjCykIKK9xSWUhpdSll1WWU15RTVlNGWXUZZTVllFaXNvoeR6qOnYSM7zueWaNmYbH8Zd1fmtVEL6BbfDfOGnAW5ww8h9z03GaNFBWYBfen//4p/9j8DwBWH1zd4RKG0BFtNKSqRDMlDCLSKtlp2fzxa39kYf5CfrXsV2w+vJn05HQm9pvIpP6TmNh34lFjSHvFGMO4vuMY13cc9026j7nb5vLpnk9Jjksmq3sWWSlOGZgysNVtPRtK9CVy5oAzOXPAmYDTRGtr0VbWHFzDmoNrWLp3ab2nHovyF7EofxGDuw9mcMpgPtz1YbPfKzRZSIxNZOZJM7lp9E3qoxChctNzgz8v2buEqtqqZo+utblwM/d8fA+bD28OLsvomsGjZz3KmN5jWnwuZdVlbDq8iQ0FG9hYuJFNhZvYWLiRkuoSAHom9qz3N5LVPYthPYYxoNuA4DG+mvlVvjj4BXO3zaWgooCy6jJKa0opry6ntLqU0ppSknxJ5Kbncs7Aczi176ktnmAxMAvuqX1ODSYMaw6safH1Rjp1epaOQk2SwkhNkqQjqayt9OzLeTSy1rJk7xL+kvcXPtr10TGbayXGJpLkSyLRl4jFUlVb5TwB8Tudwi2WhNgELh56Md8b871mdT6V8LpozkXsOrILgJmjZnLOwHMY3Wv0Uf1L/NbP+oL1TkK5ZxGr9q+qlyCen3k+P5n8E0+TQ2st+8v2kxSXFHFJ56bCTVz+z8sBZ5jaD6/6sMMMPWqt5bSXTgs+ifzkmk/ontA9zGclnZmaJIlI2HXmZAGcO6aT+k9iUv9J7CrexUvrX+Lvm/9er4nI1Kyp3DXhrmOOrhRoqmGMadf5JsRbuem5vLzhZQBeyHuBF/JeINbEkp2Wzal9TmVwymBWHljJ4j2LjxrpCpy/n/sm3ccVw6/w/AuzMeaEjejVUkO6D6GLrwtlNWUcLD/I3tK97fZk8kQrrioOJgtJvshL1kRaQv8biYh4bGDKQH446YfcNvY23tjyBhsKNjB9yPRmtc8ONNWQ6HLFiCv4++a/1+sYX2trWXdoHesOrTvmvuP6jONHp//Is8kQo0lsTCw5vXL4bK/TF2r1wdUdJmFo2Bypozw5kc5JCYOISDvpGt+1Q44tL0cbmTaSuZfP5dMvP2Xl/pWs2L+CLYe3NNo0LTUhlckZk8lNz+WM9DOO6mzf2eT0rksY1hxYwwVZF4T5jLyhDs/SkShhEBER8UDvLr25ZOglXDL0EsBpkrJq/ypW7F/BriO7GJ46nNyMXEaljeoUsxw3V06vnODPqw+2bv6JSKQOz9KRKGEQERFpBynxKfVG1pLGndL7lODP6w6to9pf3eJRlyKRnjBIR6JbHCIiIhI2vZJ6kZ6cDjijrW0q3BTmM/JG6BMGJQwS7ZQwiIiISFjl9A5plnSgYzRLCn3CoCZJEu2UMIiIiEhYhfZjWHOwY0zgtq9UTZKk41DCICIiImEVOqt1R3jCYK1VkyTpUJQwiIiISFiNTBuJzzjjsGwv3k5RZVGYz6htiquKqaitAKCLrwtd47qG+YxE2kajJImIiEhYJfoSGZE2IjjJ3RcHvyA3IzfMZ9U4ay0bCzc2OmM3QJ8ufajx1wR/75fcT5O2SdRTwiAiIiJhl9MrJ5gwrD64OiIThqLKIu5beB+f5H9yzO2GdB8S/FkdnqUj18QWowAAHFFJREFUUJMkERERCbvQfgxrDkRex+fNhZv5xtvfOG6yALC1aGvwZ/VfkI5ATxhEREQk7BqOlGStjZimPO/veJ8HPnmAspqy4LJxfcYRF1t/grnq2mqW719eb5kSBukIlDCIiIhI2GWmZJISn0JxVTGHKw+z68guBqUMatWxymvKyT+ST35JPrtLdrP7yG6q/dXMOmkWmSmZzT6O3/p5auVTPLP6meCyJF8SP8v9GRdkXdDoPkv3LuWhTx9ie/F2AMb2GduqaxCJJEoYREREJOyMMeT0zmFR/iLA6cfQ3ITBb/3M3zWfV9a/wsbCjRyqONTodgt3L+RvF/+N7gndj3vMI1VHuH/h/Xy0+6PgsgFdB/Drc3/NiNQRTe43od8EXrvkNeZtn0eyL5kz+p/RrGsQiWRKGERERCQinNLrlGDCsObAGqYPmX7M7atrq3l729v86Ys/sa1o23GPv6d0D+e9eh5nDTiLC7Iu4KwBZ5HkSwKg1l/LxsKNLNm7hCV7l7Bs3zKOVB8J7js5fTKPnfVYs5KNhNgELhl6yXG3E4kWShhEREQkIoT2YzjWBG5l1WXM2TSH2etm15sgLcBnfPRL7seAbgPI6JrB+oL1rD20FoDK2kre2/Ee7+14jyRfEmcPOJuK2gonQag6ctSxAL45+pvceeqdxMbEtvEKRaKTEgYRERGJCKEJw/rC9VTWVpIQmxBcZq3lbxv+xu9W/o7DlYfr7Zscl8yM7BlcMfwK0rum44up/xXnzS1v8tza59hUuCm4rLymnHe2v9Pk+fRP7s8PJvyAC7MubOuliUQ1JQwiIiISEXok9iAzJZMdxTuo8dewvmB9cLjVWn8tjy99nBfzXqy3T1piGrNOmsXV2VeTEp/S5LEvHnoxFw+9mC2HtzBv+zze2f7OUc2YeiX1YmLfiUzsP5GJfSeSmZIZMSM1iYSTEgYRERGJGDm9cthRvANwmiWN6T2GytpK7l94P+/teC+4XUbXDG48+UYuHXYpib7EZh9/aI+h3Dr2Vr435ntsLNzIv7/8N0m+JCb0m8DglMFKEEQaoYRBREREIkZOrxze2voW4HR8Lqos4s4P76w3v8HXMr/Gw2c+XK+5UksZY8hOyyY7LbvN5yzS0SlhEBERkYgROuPz0n1LuWHuDWwp2hJcNnPUTO6ZeA8xJiYcpyfSKSlhEBERkYgxInUE8THxVPmrOFB+gAPlB4Lr7p5wN9efdL2aDYmcYErPRUREJGLExcYxqueoest8MT4ePfNRbjj5BiULImGghEFEREQiytjeY4M/d43rytNffZqLhlwUxjMS6dzUJElEREQiyqyTZrF031JiY2L58ek/VsdkkTBTwiAiIiIRpW9yX16e/nK4T0NEXGqSJCIiIiIiTVLCICIiIiIiTVLCICIiIiIiTVLCICIiIiIiTVLCICIiIiIiTVLCICIiIiIiTVLCICIiIiIiTVLCICIiIiIiTVLCICIiIiIiTYrqhMEYE2uM+bYx5mNjTKExptwYs9UY84oxZkQT+9xgjPncGFNijCkyxiwwxkw/xnskGWMeMsZsMMZUGGP2G2P+ZowZ1X5XJiIiIiISGaI2YTDGdAXeBf4IdANmA78GFgGnAUclDMaYJ4Dngf7ufi8AOcCbxpjbG9k+AXgP+DFQ7B7/feAyYKkx5jSvr0tEREREJJL4wn0CbfAH4Fzgu9baPzRcaYyJa/D7ZOAuYAsw0Vpb6C5/HFgGPGGMectauz1ktx8AucBrwAxrrd/d5xXgH8CfjDE5geUiIiIiIh1NVD5hMMaMA74BvNJYsgBgra1usOi77uvPA8mCu9124CkgAbgp5D1MyD73hiYF1to3gIXAScDZbboYEREREZEIFpUJA06yAPBXY0x3Y8xMY8z9xphbjDHDmtjnXPf1nUbWzW2wDcBQYBCw0Vq7rZn7iIiIiIh0KNHaJGmi+5qJ08SoZ8g6a4z5f8Cd1tpaAGNMMpABlFhrv2zkeJvc19B+D9nu68YmzqGxfRpljFnWxKoxeXl5jB8//niHEBERERFptby8PICs1uwbrQlDH/f1SZy+BP8N7Mbp7Pw0cCtwAHjQ3a67+1rUxPECy3uELGvNPi0VU15eXrt8+fJVbTiG1Bnpvq4P61l0HIqn9xRT7ymm3lEsvaV4ek8xbZssnEF8WixsCYMxZjvOE4LmetFaO9P9OdCUaj1OZ+Ra9/cPjDFXAsuBHxhjfmGtrfLkhNvAWtvoI4TAk4em1kvLKJ7eUjy9p5h6TzH1jmLpLcXTe4pp+ITzCcMWoKIF2+8J+fmw+/pmSLIAgLV2lTFmG04fhFHAKuqeBnSncYHlh0OWtWYfEREREZEOJWwJg7X2vDbsvgGYRNNf1gOjICW571VqjMkHMowx/RvpxzDcfQ3tr7DBfW2qj0Jj+4iIiIiIdCjROkrS++7r6IYr3MnWAl/mt4es+tB9vbCR401tsA04T0B2AiOMMYObuY+IiIiISIcSrQnD6zhNlGYYYyY1WPcjnOZC8621e0OWP+2+PmCMSQ0sNMZkAbcBlcBzgeXWWhuyz2PGmJiQfb4OnAmsAz7y4HpERERERCJSVI6S5DYxuhF4C1hojJkD5OOMkjQF2A98p8E+i40xT+LM3rzaGPMaEA/MANKAOxrM8gzOKEzTgSuBz4wxH+DMzXAVUAZ8U7M8i4iIiEhHZpwb6dHJGDMG54nC2ThPFfYCbwM/s9buaWKfG3GeKJwE+HFGVHrcWvtWE9t3Ae4DrsVJFoqBBcBPrLXrPLwcEREREZGIE9UJg4iIiIiItK9o7cMgIiIiIiIngBIGERERERFpkhIGERERERFpkhIGERERERFpkhIGERERERFpkhIGERERERFpkhIGERERERFpkhIGERERERFpkhIGkU7IGKO/fRGRVlIdKp2NPvASsYwxaeE+h47EGHOuMWaVMaa3tdYf7vMRkfalOtRbqkOlM1PC4AFjTC9jTA/3Z8W0jYwxGcaYecD/M8YMCff5RDtjTJYx5i3gfSAH+FqYTynqGWPSjTE3G2MuM8acFe7z6QhUj3pHdai3VId6T3Vo9FGl3AbG8QtgHXArgO46tI0xJgF4AqdCPh+YYoyJDe9ZRSdjTIwx5klgKzAW+ByoBuIC68N4elHJ/Zt/GNgE/AZ4HfjQGDPHGHNSeM8uOqke9ZbqUO+oDvWe6tDopQ97KxljxgBvAvcBvYALAx92VSJtUgWcAqwGioDvAKPCekZRyBjzLeAgcAvwB+AS4B84/9GNA30payljTBzwR+A/gJeBm90yD7gUeFH/4bWM6tF2oTrUA6pDvac6NLqpQm4F9z+5x4GLgFeBvwJTgJmgSqS13LtgSYAf+DfOF4nTgenGmGR3GxO+M4x8xpj+xphlOJXyJ8D1wI+stcuBue5mg40xXcN1jlFsDM7f+L+Au621L1hrnwWmA2+46x80xowEfVaPR/Wo91SHtp3q0HalOjSKKWFonQzgVOCH1toZwE+AfOBaY8w5oLtjrWGtrQVigSHAuzhfILYDN+LEG2utDdPpRYsewMfAfwK3W2vnWGsPuuvigUNAN2ttiSrjFjsdJ4Z/sdYWus0V4t3P5E+AD4CvA1caYxL1WT0u1aMeUx3qCdWh7Ud1aBRTZdwK1tp/4Xyo/9dd9CXweyATuMEY08Va61dl0ioZQDnOY9/PgReA4cAMY0z/cJ5YJAt81qy1ecCD1tpfW2t3uusC7Zc348R1ojFmsCrjFst2X4N3Fq21Ve7rauBPOF8mZgATTvjZRRnVo+1GdWgrqA49IVSHRjElDMfgjozQ1RgTH7LMB2CtXWytrXZ/LsW5k7MMpx3e193lqkxCNBHPhp/BCiAN2GetrQH+ifNo/VrcdrjGmNOMMenuz532y0RoPAOfNWNMjLW2yP058B9grbu8EOfOWTnQO2wnHuEafqZCPqOfua9T3Jj7G2z/LvA2cDJwVujnvDNTPeod1aHeUh3aPlSHdkxKGBphjBljjHkbWABsA/7ldoDCrYBDtw180Hfi3ClLwbk7luGu7/QxPk48G7ZTHoEzCkWZ+/sq4FmcdrkPGGNW43SQOtvdv9N9mWhuPENj496pTcDpENkTJ576fLqMMTnGmLeMMWOttTbkjmJoTDcAe3BGSxkVst66r4dw2jgfAS4K3DnrrFSPekd1qLdUh3pPdWjHpw+6yzhijDG34dyNGQIsBT7F6Yj3R2PMf4fclYmBeh90P04l/A+c4eyudQ/d6SpjaFU849xdfW6phOAXi6XAfuArOM0VZgOLT9zVhF9rP58h+8dYayuBNe6is0AdS40xCcaY/8L5UnUR8AAE24I3tBsn9uOBc40xgS8MJuQL7zycpjWTjTE57X3+kUb1qHdUh3pLdWj7UB3aiVhrVdwCDADygJXAlJDlV+NkxmXAw0Bs4OllI8c4B2cou5XAqSHLs8N9fREYz9LQeLrr7gQOB2IL3OPGvcZ9XQeMD/e1RWg8m/P5vMqN5X+7v8eE+7rCGM/+wC9xRpTJAw64P1/kro9tZJ/rgQJgBZDbYF28+/onoASYFO5rDFNcVY+euFiqDvU2nqpDWxZP1aGdqIT9BCKpAD92P+w3N7LuUpxHlwXAte6yoyoKoBvOI3U/8AgwFPghsBG4LtzXGMnxdJd/H+cuxCy3AvcDHwK34QxzV41zByM13NcX6fFs4vN5qXuMueG+nnAX4DL3S+nnQAJOm3k/8O+QbUyD11TgOXe754Fh7vL4kH3ed9cPDfc1himuqkfDFEt3uepQj+KpOvS48VQd2olK2E8gEkqgUgAeAmqBr7i/x4Z8yJNxJhvx43R66h26r/tzYNssYAuwD+dujh/YEThuRy+tjGcfd/kj7rJKnJkg7wtUGsBpblzLgNPCfZ0RHs/eDfYNbNcTZxSKz4H+4b62MMd1DPA9IC1k2aduDG8PxDhkXSCGk3G+gPlxJh9KdJd3wbl7VgQ8G+7rC0M8VY+GN5aqQ9vxs6k6tNG4qg7tREV9GKjXBjEFMNR1xrHW/RRbZwSPOTidpHKBKxvsS2BbYDRQjDOKQhbOOOOZ1toF7XkdkaKV8bzK3eZ/geU4dx5mWmsfsdZucdetBp4B7rfWBkZb6PC8+HyGfDa7Artw/tMrPgGnH7GstauA56y1BSGjcfyH+3q/MaaPdUdHcbcPxHoxcDfOI/irgQ+NMX/EuXv7JLAX5w5ap6J61DuqQ72lOrR9qA7tZMKdsURCoe4Owvk4Ge9HQLK7zIRsFwvchDNKwl9p8EgXGIjzYT/kHucZoHu4ry+K4tnLXT4M945D4Hghx+x07UW9+nyGbLfDPc6ocF9bJBXq7n7NduPzq4YxbrD9aOB3OO3IC3BG/3i2M/7Nu/FQPRr+WKoO9TaeqkNbFmfVoR246AkD9e4+LHPLqbhjgDfYrhbnzs0WnEdxDcevHgRMxalMxltrb7HueM6dSRviGbiTs9laWxFyV8Jv6+7ydLoRKbz6fIaM+vFjnM5kee11zlEqEJ97cJot3GmMGWettcaYuJBRPACw1n5hrb0dGIwzydBp1tpvdca/eVA96iXVod5SHXrCqA7twJQw1FeCc1ehK3CdMSbD/aCHxmkNzkgAI3FGXAgdQ3w5cJW1dpy1dsUJPO9I1ap4BnTG/9iOw5N4WmtnW2uXnqBzjhrWeXQea63dj/OFwAAPuuuq3Vj7Gtlvv7V2q7V214k944iletQ7qkO9pTq0HakO7dg6bMJgjBlkjOnWjO2CGa91xlh+B+dx5fnAt93lfmNMrDsOsx9nBIoqoNBdH2iXV26t/cLzi4kAJzKenYHi6b3WxLQRgS8ED+NMIjbdGDPV3W8q8Igxpo8X5xstTMgETMfYRvVoM5yoWHYWiqf3WhrTRqgO7ai8buMU7oIzlNxynMfZh3Daw01uZDvT4Pc+QDxOEnU5Ti/9SuDiBttNxJkAZxHQJdzXq3hGV1E8IyqmvRuLEZDgvl6E85/fWuBR6totXxPuaz4BMZ0J/L2p2B0jpvqcKpaKZ5SVNsRUdWgnKmE/Ac8uBHpR19FmAfAqsND9fS/OeMGBSUFCh/nq4a6bC3wX5xGaAe5w9y0C/gc4A6cz1Ls4IyNcHe5rVjyjpyieERvTWwBfE8dPdP+j87tlGXBmuK+7nWOahTNSTOCab2oYvyb20+dUsVQ8o6x4FFPVoZ2khP0EPLsQuAanfeIfCZnsA2dM6mJgM/Unt4nDmdr9tzizYtYCVzY45n047Rn9QAXO7I57gW+E+3oVz+gqimfExvSKRo4bj/PU4jXqko/rw329JyCeE4F57jUvdl83ASnu+sYmsdLnVLFUPKOweBhT1aGdpIT9BDy5COdD/BlwBMhwlwWGUUsD7nc/2J9RN6tgLlDuVhD/S0iGTN208DFAP5wM+gfAtzhO5t0RiuKpeEZ68TqmDY49Difh8ANPdIaY4kyYFJjw60l32cvu7z91fz+qmQLORGD6nCqWimcUlfaIaYPtOl0d2hlK2E+gzRfgPFqMx5ldcAPObI1xDbYZSF2m+3jI8udxv0y4v/sa7NcZx6tWPBXPiC7tGVN3WW/gLkKeWnSGgtOu+8qQ34e58SsFRrrLjvqPH2eCJX1OFUvFM4pKe8XUXdYp69COXsJ+Am06+bpJQlKpayc3xF0W02Dbc3EmBtkEnN5gXWxnrjgUT8UzWopi2i4xDdxt9QX+88dNwICH3Ri/1NR+iqliqXhGT1FMVVpbomJYVWNMF2PMt40x3zXG3GyMGQLOMHzumL+FOMOkAdzgrms4/vQKnM49g3Ha7gWOHWOtrW1k+w5L8fSW4uk9xdR7x4hprftaY62tcTevdV9/BBwErjHGXOAeJzZ0P3dZp4qpYuktxdN7iql4LtwZy/EKcCfOB7iaup72hcBMd30gQz4Xp9PSEuoepzW84zjLPc5T7u+drl2d4ql4RnpRTMMS08baKwfifIO7/eKG6zpjUSwVz0gviqlKe5Swn0CTJwaZOJ1wioDXgdtxhvF60v0wHwL6hGyfgTOsYrDTTsi6QDOGMTiTsawN9/UpntFdFE/FNBpKS2La2JeIkON85m5/W4PlneaLhGKpeEZ6UUxV2rOE/QQaPSln2vbf4QyZ+CgwqMH6f7gf5ntClhng6zhTum8HprrLfdS12evurp/rbt/kH0xHKoqn4hnpRTGNjJg2cozAXcfJ7rY7gQSc9su3AveG+zoVy+griqdiqhJ9Jewn0OhJwSj3w/pIg+VJ7usl7vofu7+HDqf4P+661UCvBvvf5q77r3Bfo+IZvUXxVEyjobQ0psc4TuBLxHPu9q/gzKbtx2n7PMjrc4+0olgqnpFeFFOV9i4+IoTbicYPYK3NM8bcCrwRus5aW+5u3tt9LXS3D+xXYIx5FBiN88fxtjHmOeALnFkcb8UZWeXlE3RZYaN4ekvx9J5i6r22xLQptq5j5IvATOAq9/fZOHcrD3p5DZFCsfSW4uk9xVROpLAmDMaYk3FGMNkL7MBpOhDwTMgfgt/dPvDH0cvdZn3DY1prjxhjbnaPdRXwe5w2zIFx22+x1m5tnysKL8XTW4qn9xRT77VHTBscPwOn8/gVOE0TPgb+01q7wsvriASKpbcUT+8pphI24XisAfTF6axYijNroB/4HLiGurbHTY5mArwP5OPO8NpgXUzIz5OBm3Fmfb0wHNeqeEZfUTwV02go7RnTkG18wHfcY+cD14X7uhXLyC+Kp2Kq0vHKiX9DOBlY434YfwV8D6e5wBGc6caP2dYY6Olu+7r7e6fpxKh4Kp7RWBTT6I4pMBb4QbivWbGMjqJ4KqYqHbOc+DeEn+Fkr9+jrjNOAnAhdeMFX3CM/c92t/mPBssHAAM725cJxVPxjPSimCqmkVwUS8Uz0otiqhIJ5cS+GaTgdEZcF7LMUPc47X7qHrNlNdg3MK76z91tctzfe+B0dvwAeAvoHe6gKp7RWRRPxTQaimKqWEZqUTwVU5WOW07Mm9QNgZiKM0bwRqBfI+uTgHfcD/Z9NJL14gyduAhnOMXTgd/iTFJyBLg93AFVPKOvKJ6KaTQUxVSxjNSieCqmKh2/tM9BnY6HpwHjGyzvAizA6dk/ocG6wId/GlCBMxFTjwbbjHT/KN4F7nG38bsf/rhwB7Pd/pEUT8UzwotiqphGclEsFc9IL4qpSqQXbw/mTEG+krpe/LXAU8BYd30ydROAfOcYx3nb3eYW9/fAo7cZOB18itz17wPDwh3EdvvHUTwVzwgviqliGslFsVQ8I70opirRUmLwgDGmjzHmjzgzApbhTPjxG+AQTiede4wxfa21pcB8d7dbjTGpDY4T6/74O/f1bGOMz1pb6/6eDcTgZMjTrLVftdZu9uIaIoni6S3F03uKqfcUU+8olt5SPL2nmErUaWvGgTNc19M4swf+EhgVsu484DPgS+Ar7jIDfIST6d7byPFicWZtLQFecpfFhay/MdxZVnsWxVPxjPSimCqmkVwUS8Uz0otiqhKNpe0HcIb1qsXJbmMbrOsC/Nn9kJ8fsvwCnEdkh4BzqHt05nNfc9x9Xg/Zp1MM+6V4Kp6RXhRTxTSSi2KpeEZ6UUxVorF40SRpI05HmvustbXGmBgITkdeBhx0t0sO7GCtnQf8Gqf3/8PAxe7yGmNMf+D7OG35ngvZx3pwrtFA8fSW4uk9xdR7iql3FEtvKZ7eU0wl6vjaegBr7VZjzP9Za0vc3/2hr8Ag93UFOO3trNO27gmcx2h3Ai8aY36F08t/JE4nnVdxHst1KoqntxRP7ymm3lNMvaNYekvx9J5iKtEoMKlH+xzcmCRgIZBorR3tZs/+kPXxwK3AbcBQoAo4DPzWWvvzdjuxKKV4ekvx9J5i6j3F1DuKpbcUT+8pphKp2iVhMMYYa601xozFmX3w/6y1t7o992sa2b4nkIHzqG2ltbbI85OKYoqntxRP7ymm3lNMvaNYekvx9J5iKpGuzU2SGhPSbm6C+x4fuMtrAIwxKUCttbbUfdR2CKcjjzRC8fSW4uk9xdR7iql3FEtvKZ7eU0wl0rVLwhDibKAamAfBR2lnAFfhjDt8r60bK1iOT/H0luLpPcXUe4qpdxRLbyme3lNMJSJ5MnFbY4wx/YApwDxrbYkx5lTgh8ALOO3vDrvbmfY6h45E8fSW4uk9xdR7iql3FEtvKZ7eU0wlknn+hCHQDg9nTOBM4F1jzE04H/bxONOX51prd4KG/ToexdNbiqf3FFPvKabeUSy9pXh6TzGVaOB5whDyQZ7svk4AbgS2Al+z1n7g9Xt2ZIqntxRP7ymm3lNMvaNYekvx9J5iKtGgXfowGGN8QJb7axZwt7X2t+3xXp2B4uktxdN7iqn3FFPvKJbeUjy9p5hKpGuvUZJqjDH/AjYDT1hrK9vjfToLxdNbiqf3FFPvKabeUSy9pXh6TzGVSNduE7eFtMkTDyie3lI8vaeYek8x9Y5i6S3F03uKqUSydp3pWUREREREolu7DasqIiIiIiLRTwmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg0SQmDiIiIiIg06f8DsH0AtVjjydcAAAAASUVORK5CYII=\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
       "image/png": {
-       "height": 246,
-       "width": 390
-      }
+       "height": 248,
+       "width": 383
+      },
+      "needs_background": "light"
      },
      "output_type": "display_data"
     }
@@ -975,36 +939,27 @@
     "               'hedged':hedge_test.strategy.risks['beta'],\n",
     "               'top':base_test.strategy['TopStrategy'].risks['beta'],\n",
     "               'bottom':base_test.strategy['BottomStrategy'].risks['beta']} \n",
-    "            ).dropna().plot()"
+    "            ).dropna().plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 18,
+   "execution_count": 17,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x7f297f2e81d0>"
-      ]
-     },
-     "execution_count": 18,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
      "metadata": {
       "image/png": {
-       "height": 259,
-       "width": 375
-      }
+       "height": 262,
+       "width": 377
+      },
+      "needs_background": "light"
      },
      "output_type": "display_data"
     }
@@ -1015,12 +970,12 @@
     "               'hedged':hedge_test.strategy.prices,\n",
     "               'top':base_test.strategy['TopStrategy'].prices,\n",
     "               'bottom':base_test.strategy['BottomStrategy'].prices}\n",
-    "            ).plot()"
+    "            ).plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 18,
    "metadata": {},
    "outputs": [
     {
@@ -1057,144 +1012,136 @@
        "  </thead>\n",
        "  <tbody>\n",
        "    <tr>\n",
-       "      <th rowspan=\"10\" valign=\"top\">2020-01-01</th>\n",
+       "      <th rowspan=\"20\" valign=\"top\">2020-01-01</th>\n",
        "      <th>corp0000</th>\n",
        "      <td>1.009697</td>\n",
-       "      <td>-100000.000000</td>\n",
+       "      <td>-100000.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>corp0001</th>\n",
+       "      <td>0.991417</td>\n",
+       "      <td>100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>corp0002</th>\n",
        "      <td>1.016553</td>\n",
-       "      <td>-100000.000000</td>\n",
+       "      <td>-100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>corp0005</th>\n",
        "      <td>1.035779</td>\n",
-       "      <td>-100000.000000</td>\n",
+       "      <td>-100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>corp0017</th>\n",
-       "      <td>1.018107</td>\n",
-       "      <td>-100000.000000</td>\n",
+       "      <th>corp0009</th>\n",
+       "      <td>1.014195</td>\n",
+       "      <td>100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>corp0024</th>\n",
-       "      <td>1.094375</td>\n",
-       "      <td>-100000.000000</td>\n",
+       "      <th>corp0015</th>\n",
+       "      <td>0.849097</td>\n",
+       "      <td>100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>corp0025</th>\n",
-       "      <td>1.054762</td>\n",
-       "      <td>-100000.000000</td>\n",
+       "      <th>corp0017</th>\n",
+       "      <td>1.018107</td>\n",
+       "      <td>-100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>corp0032</th>\n",
-       "      <td>1.086487</td>\n",
-       "      <td>-100000.000000</td>\n",
+       "      <th>corp0018</th>\n",
+       "      <td>1.009549</td>\n",
+       "      <td>100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>corp0036</th>\n",
-       "      <td>1.070212</td>\n",
-       "      <td>-100000.000000</td>\n",
+       "      <th>corp0019</th>\n",
+       "      <td>0.908531</td>\n",
+       "      <td>100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>corp0048</th>\n",
-       "      <td>0.987408</td>\n",
-       "      <td>-100000.000000</td>\n",
+       "      <th>corp0023</th>\n",
+       "      <td>1.216847</td>\n",
+       "      <td>100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>corp0049</th>\n",
-       "      <td>1.016879</td>\n",
-       "      <td>-100000.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2020-02-03</th>\n",
-       "      <th>govt_2029_12</th>\n",
-       "      <td>1.001920</td>\n",
-       "      <td>56711.245501</td>\n",
+       "      <th>corp0024</th>\n",
+       "      <td>1.094375</td>\n",
+       "      <td>-100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-03-02</th>\n",
-       "      <th>govt_2029_12</th>\n",
-       "      <td>0.980314</td>\n",
-       "      <td>-5731.828599</td>\n",
+       "      <th>corp0025</th>\n",
+       "      <td>1.054762</td>\n",
+       "      <td>-100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">2020-03-31</th>\n",
-       "      <th>govt_2029_12</th>\n",
-       "      <td>0.980892</td>\n",
-       "      <td>-50979.416902</td>\n",
+       "      <th>corp0030</th>\n",
+       "      <td>0.888091</td>\n",
+       "      <td>100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>govt_2030_03</th>\n",
-       "      <td>0.980457</td>\n",
-       "      <td>50979.416902</td>\n",
+       "      <th>corp0032</th>\n",
+       "      <td>1.086487</td>\n",
+       "      <td>-100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-04-01</th>\n",
-       "      <th>govt_2030_03</th>\n",
-       "      <td>0.994029</td>\n",
-       "      <td>-1807.772942</td>\n",
+       "      <th>corp0035</th>\n",
+       "      <td>0.996676</td>\n",
+       "      <td>100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-05-01</th>\n",
-       "      <th>govt_2030_03</th>\n",
-       "      <td>0.975066</td>\n",
-       "      <td>-6225.683429</td>\n",
+       "      <th>corp0036</th>\n",
+       "      <td>1.070212</td>\n",
+       "      <td>-100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-06-01</th>\n",
-       "      <th>govt_2030_03</th>\n",
-       "      <td>0.961403</td>\n",
-       "      <td>-434.545457</td>\n",
+       "      <th>corp0037</th>\n",
+       "      <td>0.992530</td>\n",
+       "      <td>100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th rowspan=\"2\" valign=\"top\">2020-06-30</th>\n",
-       "      <th>govt_2030_03</th>\n",
-       "      <td>0.987469</td>\n",
-       "      <td>-42511.415073</td>\n",
+       "      <th>corp0044</th>\n",
+       "      <td>0.959150</td>\n",
+       "      <td>100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>govt_2030_06</th>\n",
-       "      <td>0.987179</td>\n",
-       "      <td>42511.415073</td>\n",
+       "      <th>corp0048</th>\n",
+       "      <td>0.987408</td>\n",
+       "      <td>-100000.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2020-07-01</th>\n",
-       "      <th>govt_2030_06</th>\n",
-       "      <td>0.985830</td>\n",
-       "      <td>1377.316960</td>\n",
+       "      <th>corp0049</th>\n",
+       "      <td>1.016879</td>\n",
+       "      <td>-100000.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
        "</table>\n",
        "</div>"
       ],
       "text/plain": [
-       "                            price       quantity\n",
-       "Date       Security                             \n",
-       "2020-01-01 corp0000      1.009697 -100000.000000\n",
-       "           corp0002      1.016553 -100000.000000\n",
-       "           corp0005      1.035779 -100000.000000\n",
-       "           corp0017      1.018107 -100000.000000\n",
-       "           corp0024      1.094375 -100000.000000\n",
-       "           corp0025      1.054762 -100000.000000\n",
-       "           corp0032      1.086487 -100000.000000\n",
-       "           corp0036      1.070212 -100000.000000\n",
-       "           corp0048      0.987408 -100000.000000\n",
-       "           corp0049      1.016879 -100000.000000\n",
-       "2020-02-03 govt_2029_12  1.001920   56711.245501\n",
-       "2020-03-02 govt_2029_12  0.980314   -5731.828599\n",
-       "2020-03-31 govt_2029_12  0.980892  -50979.416902\n",
-       "           govt_2030_03  0.980457   50979.416902\n",
-       "2020-04-01 govt_2030_03  0.994029   -1807.772942\n",
-       "2020-05-01 govt_2030_03  0.975066   -6225.683429\n",
-       "2020-06-01 govt_2030_03  0.961403    -434.545457\n",
-       "2020-06-30 govt_2030_03  0.987469  -42511.415073\n",
-       "           govt_2030_06  0.987179   42511.415073\n",
-       "2020-07-01 govt_2030_06  0.985830    1377.316960"
+       "                        price  quantity\n",
+       "Date       Security                    \n",
+       "2020-01-01 corp0000  1.009697 -100000.0\n",
+       "           corp0001  0.991417  100000.0\n",
+       "           corp0002  1.016553 -100000.0\n",
+       "           corp0005  1.035779 -100000.0\n",
+       "           corp0009  1.014195  100000.0\n",
+       "           corp0015  0.849097  100000.0\n",
+       "           corp0017  1.018107 -100000.0\n",
+       "           corp0018  1.009549  100000.0\n",
+       "           corp0019  0.908531  100000.0\n",
+       "           corp0023  1.216847  100000.0\n",
+       "           corp0024  1.094375 -100000.0\n",
+       "           corp0025  1.054762 -100000.0\n",
+       "           corp0030  0.888091  100000.0\n",
+       "           corp0032  1.086487 -100000.0\n",
+       "           corp0035  0.996676  100000.0\n",
+       "           corp0036  1.070212 -100000.0\n",
+       "           corp0037  0.992530  100000.0\n",
+       "           corp0044  0.959150  100000.0\n",
+       "           corp0048  0.987408 -100000.0\n",
+       "           corp0049  1.016879 -100000.0"
       ]
      },
-     "execution_count": 19,
+     "execution_count": 18,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -1214,7 +1161,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -1228,7 +1175,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.7.9"
+   "version": "3.9.12"
   },
   "public": true
  },
diff --git a/examples/trend_1.ipynb b/examples/trend_1.ipynb
index af95a455..a4ab1766 100644
--- a/examples/trend_1.ipynb
+++ b/examples/trend_1.ipynb
@@ -1,5 +1,12 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Trend Example 1"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -11,7 +18,9 @@
     "import pandas as pd\n",
     "\n",
     "import ffn\n",
-    "import bt"
+    "import bt\n",
+    "\n",
+    "%matplotlib inline"
    ]
   },
   {
@@ -23,27 +32,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x264a534a198>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 251,
+       "width": 376
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -76,7 +81,7 @@
     "    )\n",
     "pdf = np.cumprod(1+rdf)*100\n",
     "\n",
-    "pdf.plot()"
+    "pdf.plot();"
    ]
   },
   {
@@ -88,17 +93,23 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 251,
+       "width": 384
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -111,7 +122,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
@@ -196,7 +207,7 @@
        "2017-08-29  622.153294  341.662442  99.807732  263.517071  622.992416"
       ]
      },
-     "execution_count": 4,
+     "execution_count": 5,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -208,7 +219,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -293,7 +304,7 @@
        "2017-08-29  621.907867  341.948212  99.807732  263.634283  624.310473"
       ]
      },
-     "execution_count": 5,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -305,7 +316,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -390,7 +401,7 @@
        "2017-08-29  False  True  True  True  True"
       ]
      },
-     "execution_count": 6,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -415,7 +426,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -446,7 +457,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [
     {
@@ -454,7 +465,8 @@
      "output_type": "stream",
      "text": [
       "tsmom_invvol\n",
-      "0% [############                  ] 100% | ETA: 00:00:15"
+      "0% [############################# ] 100% | ETA: 00:00:00tsmom_ew\n",
+      "0% [############################# ] 100% | ETA: 00:00:00"
      ]
     }
    ],
@@ -484,9 +496,26 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 10,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "image/png": "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\n",
+      "text/plain": [
+       "<Figure size 432x288 with 1 Axes>"
+      ]
+     },
+     "metadata": {
+      "image/png": {
+       "height": 240,
+       "width": 376
+      },
+      "needs_background": "light"
+     },
+     "output_type": "display_data"
+    }
+   ],
    "source": [
     "ax = plt.subplot()\n",
     "ax.plot(tsmom_ew_res.prices.index,tsmom_ew_res.prices,label='EW')\n",
@@ -499,17 +528,292 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 11,
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "data": {
+      "text/html": [
+       "<div>\n",
+       "<style scoped>\n",
+       "    .dataframe tbody tr th:only-of-type {\n",
+       "        vertical-align: middle;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe tbody tr th {\n",
+       "        vertical-align: top;\n",
+       "    }\n",
+       "\n",
+       "    .dataframe thead th {\n",
+       "        text-align: right;\n",
+       "    }\n",
+       "</style>\n",
+       "<table border=\"1\" class=\"dataframe\">\n",
+       "  <thead>\n",
+       "    <tr style=\"text-align: right;\">\n",
+       "      <th></th>\n",
+       "      <th>tsmom_ew</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>start</th>\n",
+       "      <td>2008-01-01 00:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>end</th>\n",
+       "      <td>2017-08-29 00:00:00</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>rf</th>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>total_return</th>\n",
+       "      <td>1.982933</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>cagr</th>\n",
+       "      <td>0.119797</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>max_drawdown</th>\n",
+       "      <td>-0.103421</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>calmar</th>\n",
+       "      <td>1.158343</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>mtd</th>\n",
+       "      <td>0.017544</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>three_month</th>\n",
+       "      <td>0.040722</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>six_month</th>\n",
+       "      <td>0.079362</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ytd</th>\n",
+       "      <td>0.08107</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>one_year</th>\n",
+       "      <td>0.100432</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>three_year</th>\n",
+       "      <td>0.159895</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>five_year</th>\n",
+       "      <td>0.172284</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>ten_year</th>\n",
+       "      <td>0.119797</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>incep</th>\n",
+       "      <td>0.119797</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>daily_sharpe</th>\n",
+       "      <td>1.356727</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>daily_sortino</th>\n",
+       "      <td>2.332895</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>daily_mean</th>\n",
+       "      <td>0.112765</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>daily_vol</th>\n",
+       "      <td>0.083116</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>daily_skew</th>\n",
+       "      <td>0.029851</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>daily_kurt</th>\n",
+       "      <td>0.96973</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>best_day</th>\n",
+       "      <td>0.02107</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>worst_day</th>\n",
+       "      <td>-0.021109</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>monthly_sharpe</th>\n",
+       "      <td>1.373241</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>monthly_sortino</th>\n",
+       "      <td>2.966223</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>monthly_mean</th>\n",
+       "      <td>0.118231</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>monthly_vol</th>\n",
+       "      <td>0.086096</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>monthly_skew</th>\n",
+       "      <td>-0.059867</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>monthly_kurt</th>\n",
+       "      <td>0.571064</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>best_month</th>\n",
+       "      <td>0.070108</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>worst_month</th>\n",
+       "      <td>-0.064743</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yearly_sharpe</th>\n",
+       "      <td>1.741129</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yearly_sortino</th>\n",
+       "      <td>inf</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yearly_mean</th>\n",
+       "      <td>0.129033</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yearly_vol</th>\n",
+       "      <td>0.074109</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yearly_skew</th>\n",
+       "      <td>0.990397</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>yearly_kurt</th>\n",
+       "      <td>1.973883</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>best_year</th>\n",
+       "      <td>0.285249</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>worst_year</th>\n",
+       "      <td>0.024152</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>avg_drawdown</th>\n",
+       "      <td>-0.015516</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>avg_drawdown_days</th>\n",
+       "      <td>25.223214</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>avg_up_month</th>\n",
+       "      <td>0.024988</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>avg_down_month</th>\n",
+       "      <td>-0.012046</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>win_year_perc</th>\n",
+       "      <td>1.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>twelve_month_win_perc</th>\n",
+       "      <td>0.971429</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "                                  tsmom_ew\n",
+       "start                  2008-01-01 00:00:00\n",
+       "end                    2017-08-29 00:00:00\n",
+       "rf                                     0.0\n",
+       "total_return                      1.982933\n",
+       "cagr                              0.119797\n",
+       "max_drawdown                     -0.103421\n",
+       "calmar                            1.158343\n",
+       "mtd                               0.017544\n",
+       "three_month                       0.040722\n",
+       "six_month                         0.079362\n",
+       "ytd                                0.08107\n",
+       "one_year                          0.100432\n",
+       "three_year                        0.159895\n",
+       "five_year                         0.172284\n",
+       "ten_year                          0.119797\n",
+       "incep                             0.119797\n",
+       "daily_sharpe                      1.356727\n",
+       "daily_sortino                     2.332895\n",
+       "daily_mean                        0.112765\n",
+       "daily_vol                         0.083116\n",
+       "daily_skew                        0.029851\n",
+       "daily_kurt                         0.96973\n",
+       "best_day                           0.02107\n",
+       "worst_day                        -0.021109\n",
+       "monthly_sharpe                    1.373241\n",
+       "monthly_sortino                   2.966223\n",
+       "monthly_mean                      0.118231\n",
+       "monthly_vol                       0.086096\n",
+       "monthly_skew                     -0.059867\n",
+       "monthly_kurt                      0.571064\n",
+       "best_month                        0.070108\n",
+       "worst_month                      -0.064743\n",
+       "yearly_sharpe                     1.741129\n",
+       "yearly_sortino                         inf\n",
+       "yearly_mean                       0.129033\n",
+       "yearly_vol                        0.074109\n",
+       "yearly_skew                       0.990397\n",
+       "yearly_kurt                       1.973883\n",
+       "best_year                         0.285249\n",
+       "worst_year                        0.024152\n",
+       "avg_drawdown                     -0.015516\n",
+       "avg_drawdown_days                25.223214\n",
+       "avg_up_month                      0.024988\n",
+       "avg_down_month                   -0.012046\n",
+       "win_year_perc                          1.0\n",
+       "twelve_month_win_perc             0.971429"
+      ]
+     },
+     "execution_count": 11,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
    "source": [
     "tsmom_ew_res.stats"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -523,9 +827,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/examples/trend_2.ipynb b/examples/trend_2.ipynb
index 451a89e3..b9e6ecaa 100644
--- a/examples/trend_2.ipynb
+++ b/examples/trend_2.ipynb
@@ -1,5 +1,12 @@
 {
  "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Trend Example 2"
+   ]
+  },
   {
    "cell_type": "code",
    "execution_count": 1,
@@ -22,22 +29,18 @@
    "outputs": [
     {
      "data": {
-      "text/plain": [
-       "<matplotlib.axes._subplots.AxesSubplot at 0x218fe970c18>"
-      ]
-     },
-     "execution_count": 2,
-     "metadata": {},
-     "output_type": "execute_result"
-    },
-    {
-     "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAXcAAAD8CAYAAACMwORRAAAABHNCSVQICAgIfAhkiAAAAAlwSFlzAAALEgAACxIB0t1+/AAAADl0RVh0U29mdHdhcmUAbWF0cGxvdGxpYiB2ZXJzaW9uIDIuMi4yLCBodHRwOi8vbWF0cGxvdGxpYi5vcmcvhp/UCwAAIABJREFUeJzt3Xd4XNW18OHfkjSSrGLJqlaxLNly7wUXMMWmhE5CSUwSCC0OBBJCcm++kOSGQG7CTXJDAuEGMCFgOgQILXQMGHfLckG2XGRLlmT1Xkdt9vfHjIRsq4ykKdJovc8zj0dnzpy9ZjRa3rPPPmuLMQallFK+xc/bASillHI9Te5KKeWDNLkrpZQP0uSulFI+SJO7Ukr5IE3uSinlgzS5K6WUD9LkrpRSPkiTu1JK+aAAbzUcExNjUlNTvdW8UkqNSDt37qwwxsT2t5/XkntqaioZGRneal4ppUYkETnmzH46LKOUUj5Ik7tSSvkgp5O7iPiLyC4RebuHx24QkXIR2e243eLaMJVSSg3EQMbc7wSygbG9PP6SMeaOoQTT1tZGYWEhVqt1KIcZFoKDg0lOTsZisXg7FKXUKORUcheRZOAS4LfAj90VTGFhIeHh4aSmpiIi7mrG7YwxVFZWUlhYSFpamrfDUUqNQs4Oy/wF+Clg62Ofq0Rkr4i8IiITetpBRNaISIaIZJSXl5/yuNVqJTo6ekQndgARITo62ie+gSilRqZ+k7uIXAqUGWN29rHbW0CqMWYu8BGwrqedjDFrjTGLjTGLY2N7nqY50hN7J195HUqpkcmZnvsZwOUikge8CKwSkWe772CMqTTGtDh+fBxY5NIolVLKR/zlo0NsPFzh9nb6Te7GmLuNMcnGmFRgNbDeGPPt7vuISEK3Hy/HfuJ1RHrooYeYMWMG3/rWt7wdilLKxzS3dvDgx4fJOFbl9rYGfYWqiNwHZBhj3gR+KCKXA+1AFXCDa8LzvL/97W+8++67eiJUKeVyOWUNGAPT4sPd3taALmIyxnxqjLnUcf9XjsTe2bufZYyZZ4xZaYw54I5g3e3WW2/l6NGjXH755fzpT3/iq1/9KnPnzmXZsmXs3bsXgKqqqh63K6VUfw6W1gMwdbz7k7vXasv059639rG/qM6lx5yZOJZ7LpvV6+OPPvoo7733Hp988gn33nsvCxYs4PXXX2f9+vVcf/317N69m3vuuafH7Uop1Z9DpfUEBvgxMSrE7W0N2+TubRs3buTVV18FYNWqVVRWVlJbW9vr9oiICG+Gq5QaAQ6W1JMeG0aAv/srvwzb5N5XD9sTjDGnbBORXrcrpVR/DpXWs2xStEfa0sJhvTjrrLN47rnnAPj000+JiYlh7NixvW5XSqm+1Da3UVxrZaoHTqbCMO65e9uvf/1rbrzxRubOnUtISAjr1q3rc7tSSvXlsONk6rTxYR5pT5P7SfLy8rruv/HGG6c8HhUV1eN2pZTqS9dMGQ/13HVYRimlPOBQST2hgf4kRY7xSHua3JVSygMOltYzdXy4xyZgDLvk3tNslJHIV16HUmrojDEcLKn3yJWpnYZVcg8ODqaysnLEJ8bOeu7BwcHeDkUpNQxUNLRS3dTmsfF2GGYnVJOTkyksLKSnWu8jTedKTEopdahrpswoTe4Wi0ULdimlfM7BEs/OlIFhNiyjlFK+aFdBDXHhQcSEBXqsTU3uSinlRsYYthypZPlkzy4hqsldKaXc6Eh5AxUNLSz3UE2ZTprclVLKjbYcqQRg+WRN7kop5TM2H6kkMSKYFA/UcO9Ok7tSSrmJzWbYerSSZR4ebwdN7kop5TYHS+upbmrj9MkxHm9bk7tSSrmJt8bbYQDJXUT8RWSXiLzdw2NBIvKSiOSIyDYRSXVlkEopNVK0d9iobW4DYMvRSlKiQjxWCbK7gVyheieQDfS07NDNQLUxJl1EVgO/B77hgviUUmpEufet/Tyz9RgTo0MorbNyxbwkr8ThVM9dRJKBS4C/97LLFUDnkkSvAOeKLiyqlBqFduRVMSk2lBnjx5IYOYYr5id6JQ5ne+5/AX4K9FYYIQkoADDGtItILRANVAw5QqWUGiFa2jvIKWtgzVmT+OmF070aS789dxG5FCgzxuzsa7cetp1St1dE1ohIhohk+ELlR6WU6u5waQPtNsPMxJ5Grz3LmWGZM4DLRSQPeBFYJSLPnrRPITABQEQCgAig6uQDGWPWGmMWG2MWx8bGDilwpZQabvYX1wEwI2EEJHdjzN3GmGRjTCqwGlhvjPn2Sbu9CXzHcf9qxz4je8UNpZQaoOziOsZY/EmNDvV2KIOv5y4i9wEZxpg3gSeAZ0QkB3uPfbWL4lNKqREju7iOaePD8ffz/nySASV3Y8ynwKeO+7/qtt0KXOPKwJRSaiQxxrC/qI5L53lndszJ9ApVpZRygaJaK3XW9mEx3g6a3JVSyiX2F9lPps7U5K6UUr4ju7gOEZjuwUWw+6LJXSmlXCC7uI7U6FBCgwY9T8WlNLkrpZQL7C+uY0bC8Oi1gyZ3pZQasoaWdo5VNjFj/PAYbwdN7kopNWT7jtcCDIuyA500uSul1BBl5tcAsCBlnJcj+ZImd6WUGqKdx6qZFBNKVGigt0PposldKaWGwBjDrvxqFk4cPr120OSulFJDcqyyicrGVhYOoyEZ0OSulFJDsvNYNQCLtOeulFK+Y2d+NeFBAUyJC/N2KCfQ5K6UUkOQeayaBRPH4TcMyvx2p8ldKaUGqd7axsHSehamRHo7lFMMjyIISik1QuRWNHLXS7u5Y2U6QRY/jBl+4+2gyV0ppQZk69FKdhfUcMvTGUyODUUE5k8Yfj13HZZRSqkBKK5pxk/g+uUTOVLeyLT4cMKDLd4O6xTac1dKqQEoqrUSFx7MfVfM5sLZ4wkPGn6JHTS5K6XUgBTXNpMQGQzA6ZNjvBxN73RYRimlBqC4xkpixBhvh9GvfpO7iASLyHYR2SMi+0Tk3h72uUFEykVkt+N2i3vCVUop7zHGUFTbTEJEsLdD6ZczwzItwCpjTIOIWICNIvKuMWbrSfu9ZIy5w/UhKqXU8FDT1Ia1zUZC5PDvufeb3I0xBmhw/Ghx3Iw7g1JKqeGoqLYZgMQR0HN3asxdRPxFZDdQBnxojNnWw25XicheEXlFRCa4NEqllBoGimusACOi5+5UcjfGdBhj5gPJwBIRmX3SLm8BqcaYucBHwLqejiMia0QkQ0QyysvLhxK3Ukp5XLGv9dw7GWNqgE+BC0/aXmmMaXH8+DiwqJfnrzXGLDbGLI6NjR1EuEop5T3Ha6xY/IWYsCBvh9IvZ2bLxIpIpOP+GOA84MBJ+yR0+/FyINuVQSql1HBQXNtM/NjgYVcBsifOzJZJANaJiD/2/wxeNsa8LSL3ARnGmDeBH4rI5UA7UAXc4K6AlVLKW0bKHHdwbrbMXmBBD9t/1e3+3cDdrg1NKaW864N9Jfzm3/t554dnEh5soai2eVhWgOyJXqGqlFK9eH9fKQVVzWw8XIHNZiits5IwQnrumtyVUqoXmfn29VE/PlBGRUMLbR2GxMjhP1MGNLkrpVSPKhtayK1oJMBP+PRgGYU19mmQ2nNXSqkRbOcxe6999ZIJVDS08sG+UoARUVcGNLkrpVSPduZXY/EX7lg5BT+Bf2YUAJA4Aq5OBU3uSinVo8xj1cxOimB8RDALU8ZR2dhKUIAf40KG5+IcJ9PkrpRSJ2lp72BPYS2LHdMeV06PA+y9dpHhfwETaHJXSqlT7Cuqo7Xd1jWn/dwZ9uQ+UsbbQZO7UkqdItNxMnWhI7lPiw9ncmwo08aHezOsAdE1VJVS6iQZedWkRIUQF27vqYsIb9yxgkD/kdMfHjmRKqWUh+zMrz6lzEBYUACBASMnZY6cSJVSygNqm9oor29hZsJYb4cyJJrclVKqm4LqJgAmRIV4OZKh0eSulFLd5Fd1JveRcbFSbzS5K6VUNwVV2nNXSimfk1/VRGSIhbHBI+NK1N5ocldKqW4KqptJGeG9dtDkrpRSJyioamLCOE3uSinlM2w2w/Hq5hE/3g6a3JVSqktpvZXWDtuInykDTiR3EQkWke0iskdE9onIvT3sEyQiL4lIjohsE5FUdwSrlFLulF9pnykzWsbcW4BVxph5wHzgQhFZdtI+NwPVxph04M/A710bplJKuV9BtX0pvVEx5m7sGhw/Whw3c9JuVwDrHPdfAc6VkVL0WCmlHPKrmvCTkbPaUl+cGnMXEX8R2Q2UAR8aY7adtEsSUABgjGkHaoFoVwaqlFLuVljVRELEmBFVIKw3Tr0CY0yHMWY+kAwsEZHZJ+3SUy/95N49IrJGRDJEJKO8vHzg0SqllBvlVzWRPG7k99phgLNljDE1wKfAhSc9VAhMABCRACACqOrh+WuNMYuNMYtjY2MHFbBSSrlLQXWTT5xMBedmy8SKSKTj/hjgPODASbu9CXzHcf9qYL0x5pSeu1JKDVfWtg5K61p8Yo47OLcSUwKwTkT8sf9n8LIx5m0RuQ/IMMa8CTwBPCMiOdh77KvdFrFSSrlBoWOmjK/03PtN7saYvcCCHrb/qtt9K3CNa0NTSinP+bKO+ygcc1dKKV/lK6V+O2lyV0op4FhlE8EWP2LDgrwdiktocldKKeBgST1T48PxlesvNbkrpRRwoKSeafHh3g7DZTS5K6VGvYqGFioaWpg2XpO7Ukr5jIMl9QDMSBjr5UhcR5O7UmrUyy6uA9Ceu1JK+ZKDJfXEhAUR4yMzZUCTu1JKcbC0nuk+1GsHTe5KqVGuw2Y4WFLvU0MyoMldKTXKHatspKXdpj13pZTyJQccM2Wmj/edmTKgyV0pNcodKKnHT2BKfJi3Q3EpTe5KqVHtQHEdqTGhBFv8vR2KS2lyV0qNar44UwY0uSulRrHGlnaOVTb53Hg7aHJXSo1iR8sbAZgS51vj7aDJXSk1ih0pbwAgXZO7Ukp5lzHGZcc6Wt6An0BKtG+svtSdJnel1IjxyKdHOPeBz1yW4I+UN5ISFUJQgG/NlAFN7qOKMYbXdx2nrN7q7VCUGpRtuZUcLW8kt6LRJcc7Ut7A5FjfG5IBJ5K7iEwQkU9EJFtE9onInT3sc46I1IrIbsftV+4JVw3F+/tK+NFLu/nzh4cH9Xybzbj0K7FSA3W41D5GviOvasjH6rAZjlY0MtkHx9vBuZ57O/ATY8wMYBlwu4jM7GG/z40x8x23+1wapRqyxpZ27n1rPwBv7ymiubVjwMf4xetZnP/nDV2rxCvlSU2t7RyvaQZgR171kI9XVNNMa7uNSTGhQz7WcNRvcjfGFBtjMh3364FsIMndgSnXevDjwxTXWvnPr0yjvqWd9/eVDOj5xhjeyyomp6yBqx7Z3LVyjVKe0jltcYzFn4wB9NybWzuwtp3amclxzJQZzT33LiKSCiwAtvXw8HIR2SMi74rILBfEplzkYEk9T2zMZfVpE7jt7MlMiBrDP3cWDOgYOWUNVDe18d0z0wC45tHNA/4PQqmhOFxm71BcNi+BvMomp88drXkmg4sf/JzSuhP3P1LmSO6jdcy9k4iEAa8CPzLG1J30cCYw0RgzD/gr8Hovx1gjIhkiklFeXj7YmNUAHCqt58YntzM2OID/d+F0/PyEqxdOYPORygENr2zLtfeUvr1sIq/edjqJkWP43jM7uWVdRtdXZaXcKaesgQA/4ZrFEwDIcGJoxhjD7oIajlY0snrtVkpqv0zwRysaiQyxEBUa6LaYvcmp5C4iFuyJ/TljzGsnP26MqTPGNDjuvwNYRCSmh/3WGmMWG2MWx8bGDjF01Z+tRyu5+pHNtNkMz9y8lHGOD/FVi+yjaq9mFjp9rO25VcSPDSIlKoQJUSG89YMV3H3RdDblVPD1R7fQYdMTrcq9Dpc2kBoTyrzkSIItfk6dVC2vb6He2s6VC5Ior29h9dotVDW2Avaeu6/22sG52TICPAFkG2Me6GWf8Y79EJEljuNWujJQNTAltVau/8d2YsODeO2205mdFNH1WPK4EE6fHM0rOwudmv1ijGF7bhVL0qJx/Jqx+PvxvbMn84er53K8ptklsxeU6ktOeQPpsWEEBvgxf0KkU5+5w46hl6sXJbPuptPIr2risc+OAPY57pNjffNkKjjXcz8DuA5Y1W2q48UicquI3OrY52ogS0T2AA8Bq43OmfOqbbmVtLbbeHD1AiZEnXr13QUzx1NY3UxpXUu/xyqsbqakzsqS1HGnPLZqehxBAX68l6Xj78p9WtttHKts6ioTcFpqFPuL6mhoae/zeYdL7eP06XFhLJoYxWXzEnlm6zHyK5uoaGhhkg/33AP628EYsxGQfvZ5GHjYVUGpodtbWEuwxa/XdSE7FyY4XFbP+IjgPo/VOd6+JC36lMdCgwI4e2os72WV8KtLZ+Ln1+dHRalByatspMNmuj63p6VGYTOwK7+aM6f0PsSbU97A2OAAYsODALh9ZTpv7C7il29kAb57MhX0ClWftaeghtmJEVj8e/4VT4mzJ/3Oi0L6sj23ksgQS6+V8y6aM56SOiu7CmoGH7BSfcg5aWbLgpRI/AS2He17aOZwaQNT4sO7hhOnxofzlVnxbDhU7jje6B6WUSNMW4eNrKJa5iZH9rpPTFggkSGWrjHJvmzPreK01Khee+XnzojH4i+8l1U86JiV6svh0gZEvkzu4cEW5k2IZGNORdc+xhiueHgjD3xwsGtbTpl9nL67O1ZOAcDiLz0OWfoKTe4+6FBpPdY2G/MmRPS6j4gwNS6cnLK+L0YqrbOSV9nEktSoXvcZG2xhRXoM72aVaHkC5RY55Q0kjxvDmMAvC3ydmR7D3sIaapvaAPuKSnsKa3k18zjGGKoaW6lsbD1lbdQ5yRGcNyOOmQlje/1m6wt895WNYnsKagGYP6H3njtAenwYh0ob+kzIX463957cAS6anUBhdTNZx0++BEKpocspa+gaSuy0YkosNgNbjtp77x/uKwXgeE0zB0vru4ZyeqrV/vA3F/LsLUvdHLV3aXL3QXsKaogMsZDSz1fOKXFh1Da3UdHQ2us+W45UEB4UwKzEvpchO39mPH4CH2aXDipmpXrTYTMcKW84JUkvSIkkNNCfDYcdyT27lFRHXfaPs8u6rmidEn/qpIJgiz/hwRY3R+5dmtx90J7CGuYlR3adROpN10nVPoZmthypZOmkKAL6+fo6LjSQWYkRbDuqlzco1/rsUBmt7bZTFrG2+PuxfHI0Gw9XUFJrZW9hLdcsnsCcpAjWHygjp6yBkEB/EvuZDearNLn7mMaWdg6V1jOvnyEZ+HI6ZE4vJ1WLa5vJq2xi2aRTp0D2ZGlaFLsKanos0qTUYDS0tPPLf2WRHhfGJXMTTnl8RXoM+VVN/GNTLmD/BnnujDgy86vZnltFelxYv50cX6XJ3cdkHa/FZmB+HydTO8WFBxEeHNDrdMgtR+y98OWTnUzuk6JpbbexR6dEKhf53/cPUlxn5fdXze1xtaQVjjnuT27KZWJ0CFPiwjh3ejzGwL6iOp9cG9VZmtx9zJ5Ce2LtaxpkJxFhSlxYr8Mym4/Y57fPGN/3eHunJalRiHx5Elapodh5rIp1W/L4zvJUFk089eposM9TT4wIpq3DcP6MeESEWYljiXNctKTJXfmMPQW1JI8bQ0xYkFP7T4kL73VYZsuRSpalRTt91WlEiIXp48eyLVfH3dXQvL7rODf8YweJEWP4j69M63U/EWHFFHuNwvNnxgPg5yesmh4HcMoMm9FEk7uHNLW2815WsdurJ+7Kr+53CmR3U+LDqGho7aqU16mgqonjNc1OD8l0WpoWxc5j1bS22wb0PKUA2jts3PXSbn700m6mjQ/nxTXLCAvqu0rK9ctTuXZJygm9+68uSCJijIV5yf0PT/oqTe4eYLMZ7nppN7c+m8lrAyiz292PX97NO1/0fQVoSa2VolorC1N6/grbk85pYif33gc63t5p2aQorG02vjiu4+5q4DYcLudfu45z69mTeXHNMqeuIJ2dFMH9V845YUbXsknR7LnnAuLGjs6ZMqDJ3SMe/iSH9/eVEhYUwOOfHx3wVZx11jZeyzzO89vy+9wvM9++eMHCXsYne9JZL+ZQ6Ynj7htzKogJC+y1nkxvOouLbT2p5sf23CqW/e5jduvJVtWHvYW1iMAPVqX3O/1W9U3fPTf4/HA5y373Md99OoP7383mgQ8PceWCJO67YhaHShv49ODAVqHq7FVnHKuipb33aYaZx6oJCvBjZoJzJ0ABEiKCGRdiYe2Go+w8VkV7h43738nmzT1FnD8zfsDTyKJCA5kaH3bKSdWNh8spqbNyy7odusC26lXW8TomxYQS2s9QjOqfJnc3eOeLEmqaWzlQUsdjnx1lXnIEv7tyDpfNSyQxIphHHYsFOCvHMVXR2mbrKi3Qk8z8auYkRRAY4PyvVUR47LrFdNgM1zy6hYse/JzHNhzlumUT+fXlg1sKd2laNDvz7P9RdNpfXE9ceBBtHYYbntzeVQ9Eqe72FdUyJ2n0jpO7kiZ3N8jIq2L5pGg+/+kqNv1sFS+sWUawxR+Lvx83rUhjW27VgOaC55Q3YPEXRL4cCz9ZS3sHWUV1LEhx/mRqpyVpUbx/11l847QUSmqtPPD1efzmq7N7nFfsjMWp42hs7eBgt6Ge7OI6lk6KZu11iyioauaGp7ZT09R72QM1+lQ0tFBcaz1h1TA1eJrcXay6sZXDZQ0sdlRRTIocQ0jgl18xVy9JITw4gCc25jp9zMOl9UyODWPG+LFdRZJOtr+ojtZ224BOpnYXFhTA/VfOYc89F3DlwuRBHaNTZwy78u3/gdU2tXG8ppmZCWNZOimav35zAfuO1/GNx7aesiK9Gr2yjtu/lWpydw1N7i6285j9pObiXk5qhjlWLhrIicWccvuCA8snR5OZ3/Pl/ZmORDqQk6k9ccVKSvZ59oFdyT27xF4pckaCfWbOV2aN56kbT6OwuomrHtlMZUP/S/0p39eZ3Gf2U6ROOUeTu4vtOFaFxV/6rO2SFhNKYXWTU3PBm1s7KKxuJj02jOWOy/s7Z8V0l5lfTVLkGOKHwdQvEWH+hHHsKrDHmV1sT+7dT/Senh7D0zcvobC6mTd2F3klTjW8ZB2vIzU6hLE+Xq3RUzS5u1hGnv2kZrCl9/Hq1OhQbAYKqvufNXKkvAFj7JdRL5kUhZ+cOs0QYNex6kGNt7vLgpRIjpY3UtPUyv6iOmLCArvWsey0aGIU0+LD+WD/l4tr22yGl3cUUNusJ1xHmy+O1+qQjAvpfCMXsrZ18EVhLTeekdrnfqkx9nUb8yoa+12g90i5fabMlPgwxgZbmJ0UwaacCqbGh/HMlmNY2zqYGh9OUa2Vmwc53u4Onf/R7C6oIbukjhkJY3ucVnnBrHj+75McqhtbGRcayPoDZfz01b1UNrZy2zmTPR228pLqxlaO1zRz3fKJ3g7FZ/TbcxeRCSLyiYhki8g+Ebmzh31ERB4SkRwR2SsiC90T7vD2xfFaWjtsXSdTe5PmSO65FY39HvNwaQP+fkJqtP05yydFs/NYNXc8v4uSOishgQG8t68EEXv50+FibnIkIrAjr4pDpQ3M6GXu/QUzx2Mz8JFjkY91W/IA+/PU6JFVZB9v12mQruNMz70d+IkxJlNEwoGdIvKhMWZ/t30uAqY4bkuBRxz/jiqdCam3CnadxoVYGBscQF5lz8l9e24Vs5PGEhIYQE5ZAxOjQ7rmrn/9tAmU1Fm5bG4iK6fH4e8nGGNobO3otwaHJ4UFBTAtPpzXdxXR2m7r9cKq2UljSYwI5oP9pSxIieTzwxWEBPqzI6+KDpvB3wUneNXw17k8Y38rfinn9dtzN8YUG2MyHffrgWwg6aTdrgCeNnZbgUgRObWyvo/LyKsmPS6MqNDAPvcTEdJiQsmrOHXM/VBpPV9/bAu/fD0LsM+U6b56++TYMB5cvYDzZsZ3JT4RGVaJvdOClEiO1zQD9NpzFxEumDWezw+X8+hnRwkM8OPH50+l3trOgRJdj3U0qGlqZWNOOROixhAZ0vffjnLegE6oikgqsADYdtJDSUBBt58LOfU/AERkjYhkiEhGefnALsEf7o7XNLM9t6rXKZAnS40J7XFYprN+zGuZx9l6tJK8isZTVm8fKRZMsL8Xgf5+TIoN7XW/C2bGY22z8crOQi6bm8hFc+z9gu1aF96nldRaueHJ7Sz+74/YlFPJV2aO93ZIPsXp5C4iYcCrwI+MMSd3qXr67nxKdSxjzFpjzGJjzOLY2NiBRTqM1VvbuPmpHQhw84o0p56TGh1KUW3zCXPWm1s7eDWzkPNmxDN+bDB3vriLdpsZsQsOdJ5UnTo+DEsfRaBOS4siYox9+tsNp6eSFDmGpMgxmtx93B/fP8iWI5XcfGYab92xgl9cMsPbIfkUp77Li4gFe2J/zhjzWg+7FAITuv2cDIyKycvtHTZuf34Xh8saeOrG03pcab0naTGhGGOvm975nH9/UUy9tZ1bzkyjvL6FH7ywCxi5Cw5MjrUPUfW3KpTF34/VSyaQW97IHEf97aVpUXx2qBxjzKhdA9OXFVQ18fru41y/fCJ3X6RJ3R36Te5i/8t6Asg2xjzQy25vAneIyIvYT6TWGmP6Lj7uI/7n3QNsOFTO/1w5hzOnOP9tJLXbjJnO5P78tmNMjg1laVqU4+d8tuVW9jmkMZz5+Qmv3Lq833MQwCl/4EvSonht13GOlDeO2G8uqnePbTiCn8CasyZ5OxSf5UzP/QzgOuALEdnt2PZzIAXAGPMo8A5wMZADNAE3uj7U4WfDoXL+vjGX65ZNZPWSlAE9N80xtbFzxsyBkjoy82v45SUzunqqD127gH1FtSfUphlpJvUzj783Sxz/wXWuYK98R2mdlZd3FHL1omQSIsZ4Oxyf1W/WMMZspOcx9e77GOB2VwU1ElQ1tvKTf+5hSlzYoMYKI0IsjAuxdJ1UXbf5GIEBflzVrWhXbHgQ50yLc1nMI0laTCgxYUFsz63km0sH9h+nGt4e33CUDmO47ex0b4fi07T8wCBY2zr4z3/uobapjQdXL+iz1EBfOmfM5FU08s+MAq5ZlMw4J4YwRgMRYWlaFO/vK+XqT5h/AAAXDUlEQVSul3bz4vb8HgumqZFl29FK1m3J44p5iaRE97+Enhq8kft93wuMMXyUXcZv3t5PflUT91w2c0gV7NKiQ9l8pJIHPjyExd+PO8+d4sJoR77vr7SXH/jcsa7mrvwafn/1XC9HpQbrSHkDa57ZyYSoEO65bHALwSjnac99AP7w/kG++3QGQQF+PHvzUm48w7lpj71JjQmlpM7Km3uKuGlF6qhezLcnsxIj+L9vLWTHL87jhtNTeSWz8IRrA/YW1lBc2+zFCJWzqhpbuempHQT4CU/dsISIEK386G6a3J1UWmfliY25XDYvkXfuPJMVU4Zex6VzxkxkiIXvna1FsnojIty+Mh2Lv/DgR4cA2Hykgiv/tpnL/rrplMW91fDz0MeHKappZu31i3U4xkM0uTvp8Q1H6bAZ/vOCaX1ekDMQ0xxTIG8/J11rWPcjNjyI7yxP5Y09RXy0v5TvP5dJSnQIfgKr125lf9HAShXsyKvi758fxT4XQLmTta2D1zILuXB2Qr91l5TraHJ3QmVDC89ty3f5SaBp48N5+wcrnL6qdbT73tmTCbH4c8vTGQA8ecNpvPS95QQF+PHNv2+lrN65Jfs2HCrn23/fxn//O5u1G466M2QFvJtVTJ21nWtPm9D/zsplNLk74R+bcrG2d3Sd4HOl2UkRLlnabjSICg1kzVmTsfgLj3xrEROjQ0mLCWXdTUuoaWrjnxmF/R7j04Nl3PJ0BpNiwzh/Zjy/f+8AGw/3vC6tco0XthcwMTqEZZOivR3KqKLJvR911jae3nyMi2cnkD5CywD4kh+em86OX5zH8slfJoqp8eEsTYvi5YwCbLZTh1mMMWw9Wsn3n9vJzesymBIXxvO3LOUv35hPelwYd7yQ2bUoinKtI+UNbM+tYvVpKdqJ8TBN7v34OLuU+pZ2btKhk2FBRHosC7t6yQSOVTaxNbfyhO3GGO58cTer125lU04lt6xI4/lbljEuNJDQoADWXrcYY+CiBz/nTx8cpKm13VMvZVR4cXs+AX7C1YuS+99ZuZQm936sP1BOTFgQC/pY8Fp530WzEwgPDuClHQUnbH94fQ5v7inijpXpbL37XO6+eMYJ0/BSY0J570dnctHs8fx1fQ7nP7CBklrnxu5V37KO1/LPnfYqpyevn6vcT5N7H9o7bHx2sIyV02L1K+UwF2zx52sLkng3q4TaJvvi2h/uL+VPHx7iawuS+MkFUxkT2POVxAkRY3hw9QJeWrOM6qZW7ng+k7YOmyfD9ynGGJ7clMuVf9vMGIs/d50/1dshjUqa3Puw81g1ddZ2Vk0fnfVdRppvnDaB1nYbP//XF9zxfCZ3vriLuckR3H/lHKfKBi+dFM3/XDWXjGPV3P/OAQ9E7Jv+uj6He9/az1lTY3nnh2cybbyeq/IGLT/Qh/UHy7D4i0suWFLuNysxgoUpkfz7i2KSIsewcnocv7xkxoBq/1w+L5HMY9X8Y1MuSePGcMPpqbqO6wB02AzPb8vn7KmxPH79Iq3F70Wa3PuwPruMJWlRhOsFRiPGs7cspaXNNqQCbD+/eAZHyhv4zdv7eXlHAT+7eDorR2l1zoHanltFSZ2VX3QrXa28Q4dlelFQ1cThsgb9ox5hQgIDhlxZMzDAj6dvWsLfvrUQa3sHNz65gw/2lbgoQt/2xu7jhAb6c96MeG+HMuppcu/F+gNlAJyrH9JRSUS4eE4CH9x1FtPHh/PL17OobW7zdljDWkt7B+98UcxXZo3v9eS18hxN7icxxvDJwTIe//woaTH2KyDV6BUU4M8fr55HRUML97+T7e1whp3jNc0cLLEXbvvkQDl11nauWJDk5agU6Jj7CUrrrPzk5T1szKlgYnQIv/vaHG+HpIaBOckRfPesSTz22VEum5fIGemj5wR7Rl4VP31lL7HhQUyMDuHaJSksSLEX/zLGcMu6DLKL67h2SQrFtc3EhAVyxmQtMzAcaM/doaapleuf2M6u/GruuWwmH9519gmXuKvR7a7zppISFcL/fnDQ26F41OOfH6W8oYUOm+HdL0q47dlMWtrtK2LtyKsmu7iuq/TDpwfLuXRuIgEuqpqqhkZ/C0BTazs3PbWD3IpGHv/OYm48I43AAH1r1JeCLf5ctTCZ3QU1VDS0eDscjyivb+Hj7DKuXZLCK7edziPfXkRJnbWrQNu6zXlEjLHw1I1LePOOM7hmUbJWOB1G+h2WEZF/AJcCZcaY2T08fg7wBpDr2PSaMeY+VwY5WPXWthOmMba0d/D1x7ZSXmclMiSQsOAA2jtslNW3UFTTzN++tYjTJ4+er9xqYFZNj+PPHx3is4PlXDUKaqW8lllIu83w9cX2Ur1npEezMCWSRz49wtlTY3lvXwk3r0hjTKA/sxIj+OM187wcserOme7pU8CF/ezzuTFmvuM2LBJ7WZ2Vxf/9EU9uyu3a9urO4+wpqGFuciQJEcEIEBoUwLT4cB7+5kIunD3eewGrYW9W4lhiw4NYf7DM26G4nTGGl3YUcFrqONLjwgD7DKIfnjuF4zXN3PjUDmzGcN2yiV6OVPWm3567MWaDiKS6PxTX+uxQOS3tNh748BCXz0skYoyFRz7LYd6ESB759kK9wEINmJ+fsHJaLO9mldDWYXPZilzDUcaxao5WNHLbOSeuYXD21FjmJUewp7CW82bEMyFKl8wbrlz16VwuIntE5F0RGRbLmn9+uILw4ACaWjt48OPDvLmniIKqZu5Yma6JXQ3aqulx1Fvb2Xms2i3Hb27t4P53sp1eVcpdXtxeQFhQAJfMTThhu4hw1/lT8RN0fH2Yc8VUyExgojGmQUQuBl4HpvS0o4isAdYApKSkuKDpntlsho05FZw/I56w4ACe25bPR/tLmT4+nHO1CJgaghVTYrH4C58cKHPLykKv7CzgsQ1HaWm38evLvdNPamnv4N2sYi6fl0hI4Kkp4pxpcWT+1/k91tVXw8eQe+7GmDpjTIPj/juARUR6PCtpjFlrjFlsjFkcGxs71KZ7ta+ojqrGVs6cGsOPzptKSKA/RbVWbl+ZrqV71ZCEBQWwJC2K9QfKyDpey3VPbOOShz7ng30lQ15s22YzPLU5D4CXMwq6Shd72s68appaOzh/Zu9XZ2tiH/6GnNxFZLw4xjlEZInjmJV9P8u9NhwuB2BFeixRoYH86tKZnDs9jovnJPTzTKX6t3JaHIfLGrjs4Y1kHa+lubWDNc/s5NrHt1JaN/jhlI05FRwpb2TNWZNoau3ghR35gP3k5qcHyzyW7D87VI7FX3TN0xGu3+QuIi8AW4BpIlIoIjeLyK0icqtjl6uBLBHZAzwErDZD7cIM0eeHy5mZMLZr9ZdrFk/giRtO09KtyiUumpNAanQI3z1zEp/+50rev+ssfnPFLDKP1fDYZ0cHfdynNucRExbITy6Yyhnp0Ty1KY/Wdhv//e9sbnhyB9f9YxsNLe5fBvCzQ+WclhpFaJBewD6S9ZvcjTHXGmMSjDEWY0yyMeYJY8yjxphHHY8/bIyZZYyZZ4xZZozZ7P6we9fYYj/ZdeZUna+u3CMpcgyf/udKfn7xDCLGWLD4+3Hd8lTOmRbLv78o6nGR7v7kVTTyycEyvrl0IkEB/txy5iRK6qxc8+hmntiYy3kz4tlXVMf3nsnoukLUHUrrrBwoqeesqe4bNlWe4XNzubblVtLWYThrin44lWddNi+R0roWduRVDeh5ZXVW7n83G38Rvr3UPtHg7CmxpMeFsaewllvPnszj1y/iD1fNZVNOJT9+ec+Qx/d7s+GQfUhT/35GPp/73rXhUAXBFj8WTRzn7VDUKHPujDjGWPx5a28RS50Yr66ztvGbt/bz+u7jtNsMt5+TTtzYYMA+p/4v35jP4bJ6vjo/CRHhqkXJlNW38Pv3DrA0LYrrl6e6/DV8dqic2PAgZiTo0ngjnc/13DfmVHBaatSAllZTyhVCAgM4d0Yc73xRQnuHjdZ2G3947wDbc3vuyf/q9Sxe23Wca5ek8MlPzuE/vjLthMdnJ0XwtQXJJ1yXcevZkzhnWiy//Xc2h0rrXRp/h2MK8VlTYvVaEB/gU8m9tM5KTlkDK0ZRSVY1vFw2L5GqxlY2HC7njucz+dunR7jt2Z2nFBt7L6uY13cX8YNV6dx3xWxSnVw3QET449XzCAsK4Icv7MLa5rrx972FNdQ0tXH2NB2S8QU+ldw3H6kAGFX1ttXwcvbUWMKDArjj+V18sL+UNWdNor6lnZ+9+kXXOHllQwu/+FcWs5PGcvvK9AG3ERsexB+vmcuBknp+9OJumlsHluBtNsPv3snmtmd3njB2/3F2GSJo58hH+FRy35RTSWSIhZkJY70dihqlgi3+XDBrPE2tHfzXpTP5+cUz+H8XTuej7FL+/nkuL2cUcPO6DOqt7fzpmvmDrk+zano8v7xkBu/vL+HqRzdTVNPs1PNsNsMv38hi7YajvJtVwq6CGsA+JPNaZiFnTrFfG6JGPp85oWqMYXNOBcsnRetVqMqrfnXpTK5ZnNx1EdCNp6ey/kApv3Us0zd+bDC//dpspo0f2knLW86cxKTYUH74wm4ufuhzvjo/iUvnJtBuM6w/UMaBknp+f9UcEiLGAPa/kV++kcXz2/K56Yw0XtqRzwvb8lmYMo5NORUU1Vr5+SUzhvbi1bDhM8k9r7KJolort63Ur5TKuyJCLCdc3ennJzy4egFv7yliSVo0MxLCXXbCctX0eF6//XT++P5Bnt+e31W+wOIvGAN/fO8gD3xjPgD/2nWc57fl872zJ/GzC6fT3NbO67uK+K/LZvJyRgGRIZY+Sw6okcVnkvumHMd4uy6Np4ahmLAgbjjDPVUU0+PCeey6xdRb2/jkYDmB/n6smBLDw+tzeGzDEW5akcaEqBB+9042C1Ii+X9fmY6IcO2SFF7YXsDTm/P4YF8p31yaQlCAzjLzFT6T3DcfqSAxIpg0J2cdKOVrwoMtXD4vsevn76+czEs78rn/3WwmxYRR1djKUzcu6Rq2nJMUwcyEsfz5o8N02AzXLPb91aVGE584oWqzGbYcqeT09Bidn6uUw9hgCz88dwqbcip5Zusxrl+eyuykiK7HRYRrl6bQYTPMShzLrMSIPo6mRhqfSO7bcquobmrjjHQdklGqu28tnUhqdAgxYUH8+IKppzx+xfxEkiLH6MIbPmjED8u0d9i47+39JEYE85VZugaqUt0FBvjx8q3Lae8wjO22WHynscEWNv1slRciU+424pP7c9vyyS6u42/fWtjjqjFKjXZx4cHeDkF5wYgelimvb+F/PzjImVNiuGi29tqVUqrTiE3uza0d3P3aF1jbOvj15bP0RKpSSnUzIscxjpY38P3nMjlYWs9/XTKTybFh3g5JKaWGlRGX3D87VM7tz2Vi8ReevOE0zpkW5+2QlFJq2BlxyX1iVAgLJ47jf66cQ2LkGG+Ho5RSw9KIS+6pMaE8fdMSb4ehlFLD2og9oaqUUqp3/SZ3EfmHiJSJSFYvj4uIPCQiOSKyV0QWuj5MpZRSA+FMz/0p4MI+Hr8ImOK4rQEeGXpYSimlhqLf5G6M2QD0vMKv3RXA08ZuKxApIgmuClAppdTAuWLMPQko6PZzoWPbKURkjYhkiEhGeXm5C5pWSinVE1ck954uDTU9bMMYs9YYs9gYszg2VldYV0opd3FFci8EJnT7ORkocsFxlVJKDZIrkvubwPWOWTPLgFpjTLELjquUUmqQxJgeR1C+3EHkBeAcIAYoBe4BLADGmEfFXrHrYewzapqAG40xGf02LFILHO5jlwigtpfHUoD8QT63v8f7e+5Q2h5KXP21PdRje+v99mbb+rseWLtDPba+3wNrt7fnTjTG9D+ubYzxyg1YO9jHgXI3Hru/5w667aHE1V/bLji2V95v/V2Pnt+1vt+uf7/7unnzCtW3hvB4jRuP3d9zh9L2UOLqr+2hHttb77c329bf9cDaHeqx9f0eWLvOHLtX/Q7LDEcikmGMWaxt+3a72rb+rn29bXe2O1Jry6zVtkdFu9r26Gl3tLbttnZHZM9dKaVU30Zqz10ppVRfBnsm1tU37BdCfQJkA/uAOx3bo4APsU+b/BAY59guwENADrAXWNjtWH9wHCPbsY94qN3fA1mO2zfc8JqnA1uAFuA/TjrWhcBBR1w/83Db/wDKgCxPtdvbcTzUdjCwHdjjOM69nny/HY/7A7uAtz34e84DvgB2Axke/oxFAq8ABxzHW+6h3/U0x+vtvNUBP/LQa77LcYws4AUguL/3/ITnD2Rnd96ABByJEggHDgEzsSfqnzm2/wz4veP+xcC72JPtMmCbY/vpwCbHh9/f8cad44F2L3H80gKAUCADGOvi1xwHnAb89qQPoD9wBJgEBGJPOjM90bbjsbOAhTiX3F31mns8jofaFiDMcd8CbAOWeer9djz+Y+B5+k/urvw95wExbvyb7qvtdcAtjvuBQKQn3+9uf2cl2OeZu/szlgTkAmMcP78M3ODse2+Md6dCnsAYU2yMyXTcr8f+P18S9qqT6xy7rQO+6rjfWzVKg71nFQgEYf/jK/VAuzOBz4wx7caYRuwJtq9SyQNu2xhTZozZAbSddKglQI4x5qgxphV40XEMT7SN6b9yqMvb7eM4nmjbGGMaHD9aHLc+T1658v0WkWTsnYm/99Wmq9sdKFe1LSJjsXcgnnDs12qM6XMKoZte97nAEWPMMQ+1GwCMEZEAIIQBlnUZNsm9OxFJBRZg7xHFG0c5A8e/nSti91iN0hizBfvXomLH7X1jTLa728WezC8SkRARiQFWcmLNHVe03RunK3O6oe1Bc1W7Jx3HI22LiL+I7MY+HPWhMcZjbQN/AX4K2Jxt00XtGuADEdkpIms82PYkoBx4UkR2icjfRSTUQ213txr78Ijb2zXGHAf+F/vVq8XYy7p8MIBYh19yF5Ew4FXs41p1fe3awzYjIunADOwFzJKAVSJylrvbdbzx7wCbsX8AtgDt/bU7wLYHFJOH2h4UV7U7mOO4om1jTIcxZj72z9kSEZntibZF5FKgzBizc4DPc8X7fYYxZiH2BXpud+bvykVtB2Af9nvEGLMAaMQ+tOGJtjuPEwhcDvzTE+2KyDjsvf00IBEIFZFvD+QYwyq5i4gF+xvynDHmNcfm0s7FPxz/ljm291aN8mvAVmNMg+Or87vYx8bd3S7GmN8aY+YbY87HnnD7qp0zmLZ7M6jKnC5qe8Bc1W4vx/FI250cwwOf0s8QnAvbPgO4XETysA+/rRKRZz3QLsaYzs95GfAv7MOBfXLh57uw27ejV7Ane0+03ekiINMY0+sQr4vbPQ/INcaUG2PagNewn0902rBJ7o4CZE8A2caYB7o99CbwHcf97wBvdNveUzXKfOBsEQlwvMlnYx/3cmu7jq/p0Y5jzgXmAn1+jRpE273ZAUwRkTRHD2O14xieaHtAXNVuH8fxRNuxIhLpuD8G+x/iAU+0bYy52xiTbIxJxf57Xm+M6bVH58LXHCoi4Z33gQuwz+Lo6zmues0lQIGITHNsOhfY74m2u7kWJ4ZkXNhuPrDMMcwr2F+zU8PLXcwAzr668waswD6UsJcvpx1dDEQDH2PvBX8MRJkvZyz8H/ZZIl8Ai82XZ7Qfc7wR+4EHPNRusKO9/cBWYL4bXvN47L2YOuw1KQpxzMhxPO+QI65feLjtF7CPC7Y5tt/s7nZ7O44nXjP2/7h3OY6TBfzKk+93t2OeQ/+zZVz1midhP6/UOf3T05+x+dhnoO0FXscxldBDbYcAlUCEh1/zvdg7DVnAM0DQQHKqXqGqlFI+aNgMyyillHIdTe5KKeWDNLkrpZQP0uSulFI+SJO7Ukr5IE3uSinlgzS5K6WUD9LkrpRSPuj/A3T35a3UyiXAAAAAAElFTkSuQmCC\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 251,
+       "width": 373
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
@@ -50,12 +53,12 @@
     "    columns=['foo']\n",
     ")\n",
     "\n",
-    "pdf.plot()"
+    "pdf.plot();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 3,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -141,7 +144,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 4,
    "metadata": {},
    "outputs": [
     {
@@ -170,27 +173,33 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 1080x360 with 1 Axes>"
       ]
      },
-     "metadata": {},
+     "metadata": {
+      "image/png": {
+       "height": 289,
+       "width": 876
+      },
+      "needs_background": "light"
+     },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "res.plot_security_weights()"
+    "res.plot_security_weights();"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 6,
    "metadata": {},
    "outputs": [
     {
@@ -239,210 +248,10 @@
        "      <td>0.000000</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2008-05-31</th>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2008-06-30</th>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2008-07-31</th>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2008-08-31</th>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2008-09-30</th>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2008-10-31</th>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2008-11-30</th>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2008-12-31</th>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-01-31</th>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-02-28</th>\n",
-       "      <td>0.000000</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-03-31</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-04-30</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-05-31</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-06-30</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-07-31</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-08-31</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-09-30</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-10-31</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-11-30</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2009-12-31</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2010-01-31</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2010-02-28</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2010-03-31</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2010-04-30</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2010-05-31</th>\n",
-       "      <td>515222.105135</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>...</th>\n",
        "      <td>...</td>\n",
        "    </tr>\n",
        "    <tr>\n",
-       "      <th>2015-07-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2015-08-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2015-09-30</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2015-10-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2015-11-30</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2015-12-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-01-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-02-29</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-03-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-04-30</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-05-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-06-30</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-07-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-08-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-09-30</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-10-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-11-30</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2016-12-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-01-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-02-28</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-03-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-04-30</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-05-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-06-30</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
-       "      <th>2017-07-31</th>\n",
-       "      <td>631321.251898</td>\n",
-       "    </tr>\n",
-       "    <tr>\n",
        "      <th>2017-08-31</th>\n",
        "      <td>631321.251898</td>\n",
        "    </tr>\n",
@@ -474,57 +283,7 @@
        "2008-02-29       0.000000\n",
        "2008-03-31       0.000000\n",
        "2008-04-30       0.000000\n",
-       "2008-05-31       0.000000\n",
-       "2008-06-30       0.000000\n",
-       "2008-07-31       0.000000\n",
-       "2008-08-31       0.000000\n",
-       "2008-09-30       0.000000\n",
-       "2008-10-31       0.000000\n",
-       "2008-11-30       0.000000\n",
-       "2008-12-31       0.000000\n",
-       "2009-01-31       0.000000\n",
-       "2009-02-28       0.000000\n",
-       "2009-03-31  515222.105135\n",
-       "2009-04-30  515222.105135\n",
-       "2009-05-31  515222.105135\n",
-       "2009-06-30  515222.105135\n",
-       "2009-07-31  515222.105135\n",
-       "2009-08-31  515222.105135\n",
-       "2009-09-30  515222.105135\n",
-       "2009-10-31  515222.105135\n",
-       "2009-11-30  515222.105135\n",
-       "2009-12-31  515222.105135\n",
-       "2010-01-31  515222.105135\n",
-       "2010-02-28  515222.105135\n",
-       "2010-03-31  515222.105135\n",
-       "2010-04-30  515222.105135\n",
-       "2010-05-31  515222.105135\n",
        "...                   ...\n",
-       "2015-07-31  631321.251898\n",
-       "2015-08-31  631321.251898\n",
-       "2015-09-30  631321.251898\n",
-       "2015-10-31  631321.251898\n",
-       "2015-11-30  631321.251898\n",
-       "2015-12-31  631321.251898\n",
-       "2016-01-31  631321.251898\n",
-       "2016-02-29  631321.251898\n",
-       "2016-03-31  631321.251898\n",
-       "2016-04-30  631321.251898\n",
-       "2016-05-31  631321.251898\n",
-       "2016-06-30  631321.251898\n",
-       "2016-07-31  631321.251898\n",
-       "2016-08-31  631321.251898\n",
-       "2016-09-30  631321.251898\n",
-       "2016-10-31  631321.251898\n",
-       "2016-11-30  631321.251898\n",
-       "2016-12-31  631321.251898\n",
-       "2017-01-31  631321.251898\n",
-       "2017-02-28  631321.251898\n",
-       "2017-03-31  631321.251898\n",
-       "2017-04-30  631321.251898\n",
-       "2017-05-31  631321.251898\n",
-       "2017-06-30  631321.251898\n",
-       "2017-07-31  631321.251898\n",
        "2017-08-31  631321.251898\n",
        "2017-09-30  631321.251898\n",
        "2017-10-31  631321.251898\n",
@@ -534,7 +293,7 @@
        "[121 rows x 1 columns]"
       ]
      },
-     "execution_count": 9,
+     "execution_count": 6,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -545,7 +304,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [
     {
@@ -606,7 +365,7 @@
        "2017-12-31  281.069771"
       ]
      },
-     "execution_count": 11,
+     "execution_count": 7,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -617,7 +376,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [
     {
@@ -655,11 +414,11 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>rf</th>\n",
-       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>total_return</th>\n",
-       "      <td>1.8107</td>\n",
+       "      <td>1.810698</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>cagr</th>\n",
@@ -675,7 +434,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>mtd</th>\n",
-       "      <td>0.0599103</td>\n",
+       "      <td>0.05991</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>three_month</th>\n",
@@ -711,15 +470,15 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>daily_sharpe</th>\n",
-       "      <td>3.29955</td>\n",
+       "      <td>3.299555</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>daily_sortino</th>\n",
-       "      <td>6.35287</td>\n",
+       "      <td>6.352869</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>daily_mean</th>\n",
-       "      <td>2.44859</td>\n",
+       "      <td>2.448589</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>daily_vol</th>\n",
@@ -731,7 +490,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>daily_kurt</th>\n",
-       "      <td>1.41446</td>\n",
+       "      <td>1.414455</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>best_day</th>\n",
@@ -747,7 +506,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>monthly_sortino</th>\n",
-       "      <td>1.39289</td>\n",
+       "      <td>1.392893</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>monthly_mean</th>\n",
@@ -763,7 +522,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>monthly_kurt</th>\n",
-       "      <td>1.37901</td>\n",
+       "      <td>1.379006</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>best_month</th>\n",
@@ -779,7 +538,7 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yearly_sortino</th>\n",
-       "      <td>5.01927</td>\n",
+       "      <td>5.019272</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yearly_mean</th>\n",
@@ -791,11 +550,11 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yearly_skew</th>\n",
-       "      <td>2.3175</td>\n",
+       "      <td>2.317496</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>yearly_kurt</th>\n",
-       "      <td>5.89495</td>\n",
+       "      <td>5.894955</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>best_year</th>\n",
@@ -803,23 +562,23 @@
        "    </tr>\n",
        "    <tr>\n",
        "      <th>worst_year</th>\n",
-       "      <td>-0.0885428</td>\n",
+       "      <td>-0.088543</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>avg_drawdown</th>\n",
-       "      <td>-0.0912547</td>\n",
+       "      <td>-0.091255</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>avg_drawdown_days</th>\n",
-       "      <td>369.714</td>\n",
+       "      <td>369.714286</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>avg_up_month</th>\n",
-       "      <td>0.0643407</td>\n",
+       "      <td>0.064341</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>avg_down_month</th>\n",
-       "      <td>-0.0129277</td>\n",
+       "      <td>-0.012928</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>win_year_perc</th>\n",
@@ -837,12 +596,12 @@
        "                                  example1\n",
        "start                  2008-01-30 00:00:00\n",
        "end                    2017-12-31 00:00:00\n",
-       "rf                                       0\n",
-       "total_return                        1.8107\n",
+       "rf                                     0.0\n",
+       "total_return                      1.810698\n",
        "cagr                              0.109805\n",
        "max_drawdown                     -0.267046\n",
        "calmar                            0.411186\n",
-       "mtd                              0.0599103\n",
+       "mtd                                0.05991\n",
        "three_month                       0.102033\n",
        "six_month                          0.22079\n",
        "ytd                               0.879847\n",
@@ -851,39 +610,39 @@
        "five_year                         0.227148\n",
        "ten_year                          0.109805\n",
        "incep                             0.109805\n",
-       "daily_sharpe                       3.29955\n",
-       "daily_sortino                      6.35287\n",
-       "daily_mean                         2.44859\n",
+       "daily_sharpe                      3.299555\n",
+       "daily_sortino                     6.352869\n",
+       "daily_mean                        2.448589\n",
        "daily_vol                         0.742097\n",
        "daily_skew                        0.307861\n",
-       "daily_kurt                         1.41446\n",
+       "daily_kurt                        1.414455\n",
        "best_day                          0.137711\n",
        "worst_day                         -0.14073\n",
        "monthly_sharpe                    0.723148\n",
-       "monthly_sortino                    1.39289\n",
+       "monthly_sortino                   1.392893\n",
        "monthly_mean                      0.117579\n",
        "monthly_vol                       0.162594\n",
        "monthly_skew                      0.301545\n",
-       "monthly_kurt                       1.37901\n",
+       "monthly_kurt                      1.379006\n",
        "best_month                        0.137711\n",
        "worst_month                       -0.14073\n",
        "yearly_sharpe                     0.503939\n",
-       "yearly_sortino                     5.01927\n",
+       "yearly_sortino                    5.019272\n",
        "yearly_mean                        0.14814\n",
        "yearly_vol                        0.293964\n",
-       "yearly_skew                         2.3175\n",
-       "yearly_kurt                        5.89495\n",
+       "yearly_skew                       2.317496\n",
+       "yearly_kurt                       5.894955\n",
        "best_year                         0.879847\n",
-       "worst_year                      -0.0885428\n",
-       "avg_drawdown                    -0.0912547\n",
-       "avg_drawdown_days                  369.714\n",
-       "avg_up_month                     0.0643407\n",
-       "avg_down_month                  -0.0129277\n",
+       "worst_year                       -0.088543\n",
+       "avg_drawdown                     -0.091255\n",
+       "avg_drawdown_days               369.714286\n",
+       "avg_up_month                      0.064341\n",
+       "avg_down_month                   -0.012928\n",
        "win_year_perc                     0.555556\n",
        "twelve_month_win_perc              0.46789"
       ]
      },
-     "execution_count": 12,
+     "execution_count": 8,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -891,11 +650,18 @@
    "source": [
     "res.stats"
    ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": "Python 3 (ipykernel)",
    "language": "python",
    "name": "python3"
   },
@@ -909,9 +675,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.6.4"
+   "version": "3.9.12"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }
diff --git a/pyproject.toml b/pyproject.toml
index b9a741c8..df906df7 100644
--- a/pyproject.toml
+++ b/pyproject.toml
@@ -1,3 +1,8 @@
 [build-system]
-# Minimum requirements for the build system to execute.
-requires = ["setuptools", "wheel", "cython>0.25"]
+requires = ["setuptools", "wheel", "cython>=0.29.25"]
+
+[tool.ruff]
+line-length = 180
+
+[tool.ruff.lint.per-file-ignores]
+"__init__.py" = ["F401", "F403"]
diff --git a/setup.cfg b/setup.cfg
deleted file mode 100644
index 13ccd2dc..00000000
--- a/setup.cfg
+++ /dev/null
@@ -1,11 +0,0 @@
-[bdist_wheel]
-universal=1
-
-[metadata]
-description_file = README.rst
-
-[flake8]
-ignore=E203, W503
-max-line-length=180
-per-file-ignores=
-    bt/__init__.py:F401,F403
\ No newline at end of file
diff --git a/setup.py b/setup.py
index 49b1cd4b..74205cd2 100644
--- a/setup.py
+++ b/setup.py
@@ -1,6 +1,5 @@
 import codecs
 import os
-import re
 
 from setuptools import setup
 from setuptools.extension import Extension
@@ -10,12 +9,6 @@ def local_file(filename):
     return codecs.open(os.path.join(os.path.dirname(__file__), filename), "r", "utf-8")
 
 
-version = re.search(
-    "^__version__ = \\((\\d+), (\\d+), (\\d+)\\)",
-    local_file(os.path.join("bt", "__init__.py")).read(),
-    re.MULTILINE,
-).groups()
-
 try:
     from Cython.Build import cythonize
 except ImportError:
@@ -32,39 +25,45 @@ def local_file(filename):
 
 setup(
     name="bt",
-    version=".".join(version),
+    version="1.1.5",
     author="Philippe Morissette",
     author_email="morissette.philippe@gmail.com",
     description="A flexible backtesting framework for Python",
-    keywords="python finance quant backtesting strategies",
+    keywords="python finance quant backtesting strategies algotrading algorithmic trading",
     url="https://github.com/pmorissette/bt",
     license="MIT",
-    install_requires=["ffn>=0.3.5", "pyprind>=2.11"],
+    install_requires=["ffn>=1.1.2", "pyprind>=2.11", "tqdm>=4"],
     extras_require={
         "dev": [
-            "black>=20.8b1",
-            "codecov",
-            "coverage",
-            "cython>=0.25",
-            "flake8",
-            "flake8-black",
-            "future",
-            "mock",
-            "nose",
+            "cython>=0.29.25",
+            "ffn>=1.1.2",
+            "matplotlib>=2",
             "numpy>=1",
             "pandas>=0.19",
-            "matplotlib>=2",
-            "ffn>=0.3.5",
             "pyprind>=2.11",
+            "pytest",
+            "pytest-cov",
+            "ruff>=0.5.0,<0.16",
+            "setuptools",
+            "twine",
+            "wheel",
         ],
     },
     packages=["bt"],
-    long_description=local_file("README.rst").read().replace("\r\n", "\n"),
+    long_description=local_file("README.md").read().replace("\r\n", "\n"),
+    long_description_content_type="text/markdown",
     classifiers=[
-        "Development Status :: 3 - Alpha",
-        "Topic :: Software Development :: Libraries",
+        "Development Status :: 4 - Beta",
         "Programming Language :: Python",
+        "Programming Language :: Python :: 3",
+        "Programming Language :: Python :: 3.9",
+        "Programming Language :: Python :: 3.10",
+        "Programming Language :: Python :: 3.11",
+        "Programming Language :: Python :: 3.12",
+        "Programming Language :: Python :: 3.13",
+        "Topic :: Software Development :: Libraries",
+        "License :: OSI Approved :: MIT License",
     ],
     ext_modules=ext_modules,
-    python_requires=">=2.7, !=3.0.*, !=3.1.*, !=3.2.*, !=3.3.*, !=3.4.*, !=3.5.*",
+    python_requires=">=3.9",
 )
diff --git a/tests/bench.py b/tests/bench.py
index bd0984b9..36eb9a67 100644
--- a/tests/bench.py
+++ b/tests/bench.py
@@ -9,65 +9,79 @@
 
 def benchmark_1():
     x = np.random.randn(10000, 1000) * 0.01
-    idx = pd.date_range('1990-01-01', freq='B', periods=x.shape[0])
+    idx = pd.date_range("1990-01-01", freq="B", periods=x.shape[0])
     data = np.exp(pd.DataFrame(x, index=idx).cumsum())
 
-    s = bt.Strategy('s', [bt.algos.RunMonthly(),
-                          bt.algos.SelectRandomly(len(data.columns) / 2),
-                          bt.algos.WeighRandomly(),
-                          bt.algos.Rebalance()])
+    s = bt.Strategy(
+        "s",
+        [
+            bt.algos.RunMonthly(),
+            bt.algos.SelectRandomly(len(data.columns) / 2),
+            bt.algos.WeighRandomly(),
+            bt.algos.Rebalance(),
+        ],
+    )
 
     t = bt.Backtest(s, data)
     return bt.run(t)
-    
+
+
 def benchmark_2():
     x = np.random.randn(10000, 1000) * 0.01
-    idx = pd.date_range('1990-01-01', freq='B', periods=x.shape[0])
+    idx = pd.date_range("1990-01-01", freq="B", periods=x.shape[0])
     data = np.exp(pd.DataFrame(x, index=idx).cumsum())
     bidoffer = data * 0.01
-    coupons = data * 0.
-    s = bt.FixedIncomeStrategy('s', 
-                            algos = [bt.algos.RunMonthly(),
-                              bt.algos.SelectRandomly(len(data.columns) / 2),
-                              bt.algos.WeighRandomly(),
-                              bt.algos.Rebalance()],
-                              children = [ bt.CouponPayingSecurity(c) 
-                                            for c in data ]
-                              )
+    coupons = data * 0.0
+    s = bt.FixedIncomeStrategy(
+        "s",
+        algos=[
+            bt.algos.RunMonthly(),
+            bt.algos.SelectRandomly(len(data.columns) / 2),
+            bt.algos.WeighRandomly(),
+            bt.algos.Rebalance(),
+        ],
+        children=[bt.CouponPayingSecurity(c) for c in data],
+    )
 
-    t = bt.Backtest(s, data, additional_data = {'bidoffer':bidoffer, 
-                                                'coupons':coupons})
+    t = bt.Backtest(s, data, additional_data={"bidoffer": bidoffer, "coupons": coupons})
     return bt.run(t)
 
+
 def benchmark_3():
     # Similar to benchmark_1, but with trading in only a small subset of assets
     # However, because the "multipier" is used, we can't just pass the string
     # names to the constructor, and so the solution is to use the lazy_add flag.
     # Changing lazy_add to False demonstrates the performance gain.
     # i.e. on Win32, it went from 4.3s with the flag to 10.9s without.
-    
+
     x = np.random.randn(10000, 1000) * 0.01
-    idx = pd.date_range('1990-01-01', freq='B', periods=x.shape[0])
+    idx = pd.date_range("1990-01-01", freq="B", periods=x.shape[0])
     data = np.exp(pd.DataFrame(x, index=idx).cumsum())
-    children = [ bt.Security(name=i, multiplier=10, lazy_add=False) 
-                for i in range(1000) ]
-    s = bt.Strategy('s', [bt.algos.RunMonthly(),
-                          bt.algos.SelectThese([0,1]),
-                          bt.algos.WeighRandomly(),
-                          bt.algos.Rebalance()], children = children)
+    children = [bt.Security(name=i, multiplier=10, lazy_add=False) for i in range(1000)]
+    s = bt.Strategy(
+        "s",
+        [
+            bt.algos.RunMonthly(),
+            bt.algos.SelectThese([0, 1]),
+            bt.algos.WeighRandomly(),
+            bt.algos.Rebalance(),
+        ],
+        children=children,
+    )
 
     t = bt.Backtest(s, data)
     return bt.run(t)
-    
-if __name__ == '__main__':
-    print('\n\n\n================= Benchmark 1 =======================\n')
-    cProfile.run('benchmark_1()', sort='tottime')
-    print('\n----------------- Benchmark 1 -----------------------\n\n\n')
-    
-    print('\n\n\n================= Benchmark 2 =======================\n')
-    cProfile.run('benchmark_2()', sort='tottime')
-    print('\n----------------- Benchmark 2 -----------------------\n\n\n')
-    
-    print('\n\n\n================= Benchmark 3 =======================\n')
-    cProfile.run('benchmark_3()', sort='cumtime')
-    print('\n----------------- Benchmark 3 -----------------------\n\n\n')
+
+
+if __name__ == "__main__":
+    print("\n\n\n================= Benchmark 1 =======================\n")
+    cProfile.run("benchmark_1()", sort="tottime")
+    print("\n----------------- Benchmark 1 -----------------------\n\n\n")
+
+    print("\n\n\n================= Benchmark 2 =======================\n")
+    cProfile.run("benchmark_2()", sort="tottime")
+    print("\n----------------- Benchmark 2 -----------------------\n\n\n")
+
+    print("\n\n\n================= Benchmark 3 =======================\n")
+    cProfile.run("benchmark_3()", sort="cumtime")
+    print("\n----------------- Benchmark 3 -----------------------\n\n\n")
diff --git a/tests/test_algos.py b/tests/test_algos.py
index 5d108227..9135f08d 100644
--- a/tests/test_algos.py
+++ b/tests/test_algos.py
@@ -1,17 +1,11 @@
 from __future__ import division
-from datetime import datetime
+from datetime import datetime, timedelta
+from unittest import mock
 
-import sys
-if sys.version_info < (3, 3):
-    import mock
-else:
-    from unittest import mock
-
-
-import pandas as pd
 import numpy as np
+import pandas as pd
+import pytest
 import random
-from nose.tools import assert_almost_equal as aae
 
 import bt
 import bt.algos as algos
@@ -23,11 +17,10 @@ class TestAlgo(algos.Algo):
 
     actual = TestAlgo()
 
-    assert actual.name == 'TestAlgo'
+    assert actual.name == "TestAlgo"
 
 
 class DummyAlgo(algos.Algo):
-
     def __init__(self, return_value=True):
         self.return_value = return_value
         self.called = False
@@ -52,27 +45,30 @@ def test_algo_stack():
     assert algo2.called
     assert not algo3.called
 
+
 def test_print_temp_data():
     target = mock.MagicMock()
-    target.temp={}
-    target.temp['selected'] = ['c1','c2']
-    target.temp['weights'] = [0.5,0.5]
+    target.temp = {}
+    target.temp["selected"] = ["c1", "c2"]
+    target.temp["weights"] = [0.5, 0.5]
 
     algo = algos.PrintTempData()
-    assert algo( target )
+    assert algo(target)
+
+    algo = algos.PrintTempData("Selected: {selected}")
+    assert algo(target)
 
-    algo = algos.PrintTempData( 'Selected: {selected}')
-    assert algo( target )
 
 def test_print_info():
-    target = bt.Strategy('s', [])
-    target.temp={}
+    target = bt.Strategy("s", [])
+    target.temp = {}
 
     algo = algos.PrintInfo()
-    assert algo( target )
+    assert algo(target)
+
+    algo = algos.PrintInfo("{now}: {name}")
+    assert algo(target)
 
-    algo = algos.PrintInfo( '{now}: {name}')
-    assert algo( target )
 
 def test_run_once():
     algo = algos.RunOnce()
@@ -84,16 +80,13 @@ def test_run_once():
 def test_run_period():
     target = mock.MagicMock()
 
-    dts = pd.date_range('2010-01-01', periods=35)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=35)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     algo = algos.RunPeriod()
 
     # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
-    )
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
     dts = target.data.index
 
@@ -113,16 +106,11 @@ def test_run_period():
     assert not algo(target)
 
     algo = algos.RunPeriod(
-        run_on_first_date=False,
-        run_on_end_of_period=True,
-        run_on_last_date=True
+        run_on_first_date=False, run_on_end_of_period=True, run_on_last_date=True
     )
 
     # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
-    )
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
     dts = target.data.index
 
@@ -146,36 +134,29 @@ def test_run_period():
 def test_run_daily():
     target = mock.MagicMock()
 
-    dts = pd.date_range('2010-01-01', periods=35)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=35)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     algo = algos.RunDaily()
 
     # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('',[algo]),
-        data
-    )
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     target.now = dts[1]
     assert algo(target)
 
 
-
 def test_run_weekly():
-    dts = pd.date_range('2010-01-01', periods=367)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=367)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     target = mock.MagicMock()
     target.data = data
 
     algo = algos.RunWeekly()
     # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
-    )
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     # end of week
@@ -187,15 +168,10 @@ def test_run_weekly():
     assert algo(target)
 
     algo = algos.RunWeekly(
-        run_on_first_date=False,
-        run_on_end_of_period=True,
-        run_on_last_date=True
+        run_on_first_date=False, run_on_end_of_period=True, run_on_last_date=True
     )
     # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
-    )
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     # end of week
@@ -206,13 +182,12 @@ def test_run_weekly():
     target.now = dts[3]
     assert not algo(target)
 
-    dts = pd.DatetimeIndex([datetime(2016, 1, 3), datetime(2017, 1, 8),datetime(2018, 1, 7)])
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
+    dts = pd.DatetimeIndex(
+        [datetime(2016, 1, 3), datetime(2017, 1, 8), datetime(2018, 1, 7)]
     )
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    # adds the initial day
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     # check next year
@@ -221,18 +196,15 @@ def test_run_weekly():
 
 
 def test_run_monthly():
-    dts = pd.date_range('2010-01-01', periods=367)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=367)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     target = mock.MagicMock()
     target.data = data
 
     algo = algos.RunMonthly()
     # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
-    )
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     # end of month
@@ -244,15 +216,10 @@ def test_run_monthly():
     assert algo(target)
 
     algo = algos.RunMonthly(
-        run_on_first_date=False,
-        run_on_end_of_period=True,
-        run_on_last_date=True
+        run_on_first_date=False, run_on_end_of_period=True, run_on_last_date=True
     )
     # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
-    )
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     # end of month
@@ -263,13 +230,12 @@ def test_run_monthly():
     target.now = dts[31]
     assert not algo(target)
 
-    dts = pd.DatetimeIndex([datetime(2016, 1, 3), datetime(2017, 1, 8), datetime(2018, 1, 7)])
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
+    dts = pd.DatetimeIndex(
+        [datetime(2016, 1, 3), datetime(2017, 1, 8), datetime(2018, 1, 7)]
     )
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    # adds the initial day
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     # check next year
@@ -278,18 +244,15 @@ def test_run_monthly():
 
 
 def test_run_quarterly():
-    dts = pd.date_range('2010-01-01', periods=367)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=367)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     target = mock.MagicMock()
     target.data = data
 
     algo = algos.RunQuarterly()
     # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
-    )
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     # end of quarter
@@ -301,15 +264,10 @@ def test_run_quarterly():
     assert algo(target)
 
     algo = algos.RunQuarterly(
-        run_on_first_date=False,
-        run_on_end_of_period=True,
-        run_on_last_date=True
+        run_on_first_date=False, run_on_end_of_period=True, run_on_last_date=True
     )
     # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
-    )
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     # end of quarter
@@ -320,13 +278,12 @@ def test_run_quarterly():
     target.now = dts[90]
     assert not algo(target)
 
-    dts = pd.DatetimeIndex([datetime(2016, 1, 3), datetime(2017, 1, 8), datetime(2018, 1, 7)])
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
+    dts = pd.DatetimeIndex(
+        [datetime(2016, 1, 3), datetime(2017, 1, 8), datetime(2018, 1, 7)]
     )
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    # adds the initial day
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     # check next year
@@ -335,18 +292,15 @@ def test_run_quarterly():
 
 
 def test_run_yearly():
-    dts = pd.date_range('2010-01-01', periods=367)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=367)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     target = mock.MagicMock()
     target.data = data
 
     algo = algos.RunYearly()
     # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
-    )
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     # end of year
@@ -358,15 +312,10 @@ def test_run_yearly():
     assert algo(target)
 
     algo = algos.RunYearly(
-        run_on_first_date=False,
-        run_on_end_of_period=True,
-        run_on_last_date=True
+        run_on_first_date=False, run_on_end_of_period=True, run_on_last_date=True
     )
     # adds the initial day
-    backtest = bt.Backtest(
-        bt.Strategy('', [algo]),
-        data
-    )
+    backtest = bt.Backtest(bt.Strategy("", [algo]), data)
     target.data = backtest.data
 
     # end of year
@@ -380,67 +329,69 @@ def test_run_yearly():
 
 def test_run_on_date():
     target = mock.MagicMock()
-    target.now = pd.to_datetime('2010-01-01')
+    target.now = pd.to_datetime("2010-01-01")
 
-    algo = algos.RunOnDate('2010-01-01', '2010-01-02')
+    algo = algos.RunOnDate("2010-01-01", "2010-01-02")
     assert algo(target)
 
-    target.now = pd.to_datetime('2010-01-02')
+    target.now = pd.to_datetime("2010-01-02")
     assert algo(target)
 
-    target.now = pd.to_datetime('2010-01-03')
+    target.now = pd.to_datetime("2010-01-03")
     assert not algo(target)
 
+
 def test_run_if_out_of_bounds():
     algo = algos.RunIfOutOfBounds(0.5)
-    dts = pd.date_range('2010-01-01', periods=3)
+    dts = pd.date_range("2010-01-01", periods=3)
 
-    s = bt.Strategy('s')
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    s = bt.Strategy("s")
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
     s.setup(data)
 
-    s.temp['selected'] = ['c1', 'c2']
-    s.temp['weights'] = {'c1': .5, 'c2':.5}
+    s.temp["selected"] = ["c1", "c2"]
+    s.temp["weights"] = {"c1": 0.5, "c2": 0.5}
     s.update(dts[0])
-    s.children['c1'] = bt.core.SecurityBase('c1')
-    s.children['c2'] = bt.core.SecurityBase('c2')
+    s.children["c1"] = bt.core.SecurityBase("c1")
+    s.children["c2"] = bt.core.SecurityBase("c2")
 
-    s.children['c1']._weight = 0.5
-    s.children['c2']._weight = 0.5
+    s.children["c1"]._weight = 0.5
+    s.children["c2"]._weight = 0.5
     assert not algo(s)
-    
-    s.children['c1']._weight = 0.25
-    s.children['c2']._weight = 0.75
+
+    s.children["c1"]._weight = 0.25
+    s.children["c2"]._weight = 0.75
     assert not algo(s)
-    
-    s.children['c1']._weight = 0.24
-    s.children['c2']._weight = 0.76
+
+    s.children["c1"]._weight = 0.24
+    s.children["c2"]._weight = 0.76
     assert algo(s)
 
-    s.children['c1']._weight = 0.75
-    s.children['c2']._weight = 0.25
+    s.children["c1"]._weight = 0.75
+    s.children["c2"]._weight = 0.25
     assert not algo(s)
-    s.children['c1']._weight = 0.76
-    s.children['c2']._weight = 0.24
+    s.children["c1"]._weight = 0.76
+    s.children["c2"]._weight = 0.24
     assert algo(s)
 
+
 def test_run_after_date():
     target = mock.MagicMock()
-    target.now = pd.to_datetime('2010-01-01')
+    target.now = pd.to_datetime("2010-01-01")
 
-    algo = algos.RunAfterDate('2010-01-02')
+    algo = algos.RunAfterDate("2010-01-02")
     assert not algo(target)
 
-    target.now = pd.to_datetime('2010-01-02')
+    target.now = pd.to_datetime("2010-01-02")
     assert not algo(target)
 
-    target.now = pd.to_datetime('2010-01-03')
+    target.now = pd.to_datetime("2010-01-03")
     assert algo(target)
 
 
 def test_run_after_days():
     target = mock.MagicMock()
-    target.now = pd.to_datetime('2010-01-01')
+    target.now = pd.to_datetime("2010-01-01")
 
     algo = algos.RunAfterDays(3)
     assert not algo(target)
@@ -450,163 +401,165 @@ def test_run_after_days():
 
 
 def test_set_notional():
-    algo = algos.SetNotional('notional')
-    
-    s = bt.FixedIncomeStrategy('s')
-
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    notional = pd.Series(index=dts[:2], data=[1e6, 5e6])    
-    
-    s.setup( data, notional = notional )
-    
+    algo = algos.SetNotional("notional")
+
+    s = bt.FixedIncomeStrategy("s")
+
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    notional = pd.Series(index=dts[:2], data=[1e6, 5e6])
+
+    s.setup(data, notional=notional)
+
     s.update(dts[0])
     assert algo(s)
-    assert s.temp['notional_value'] == 1e6    
-    
+    assert s.temp["notional_value"] == 1e6
+
     s.update(dts[1])
     assert algo(s)
-    assert s.temp['notional_value'] == 5e6
-    
+    assert s.temp["notional_value"] == 5e6
+
     s.update(dts[2])
     assert not algo(s)
-    
+
 
 def test_rebalance():
     algo = algos.Rebalance()
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.setup(data)
     s.adjust(1000)
     s.update(dts[0])
 
-    s.temp['weights'] = {'c1': 1}
+    s.temp["weights"] = {"c1": 1}
     assert algo(s)
     assert s.value == 1000
     assert s.capital == 0
-    c1 = s['c1']
+    c1 = s["c1"]
     assert c1.value == 1000
     assert c1.position == 10
-    assert c1.weight == 1.
+    assert c1.weight == pytest.approx(1.0)
 
-    s.temp['weights'] = {'c2': 1}
+    s.temp["weights"] = {"c2": 1}
 
     assert algo(s)
     assert s.value == 1000
     assert s.capital == 0
-    c2 = s['c2']
+    c2 = s["c2"]
     assert c1.value == 0
     assert c1.position == 0
     assert c1.weight == 0
     assert c2.value == 1000
     assert c2.position == 10
-    assert c2.weight == 1.
+    assert c2.weight == pytest.approx(1.0)
 
 
 def test_rebalance_with_commissions():
     algo = algos.Rebalance()
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
     s.set_commissions(lambda q, p: 1)
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.setup(data)
     s.adjust(1000)
     s.update(dts[0])
 
-    s.temp['weights'] = {'c1': 1}
+    s.temp["weights"] = {"c1": 1}
 
     assert algo(s)
     assert s.value == 999
     assert s.capital == 99
-    c1 = s['c1']
+    c1 = s["c1"]
     assert c1.value == 900
     assert c1.position == 9
-    assert c1.weight == 900 / 999.
+    assert c1.weight == pytest.approx(900 / 999.0)
 
-    s.temp['weights'] = {'c2': 1}
+    s.temp["weights"] = {"c2": 1}
 
     assert algo(s)
     assert s.value == 997
     assert s.capital == 97
-    c2 = s['c2']
+    c2 = s["c2"]
     assert c1.value == 0
     assert c1.position == 0
     assert c1.weight == 0
     assert c2.value == 900
     assert c2.position == 9
-    assert c2.weight == 900. / 997
+    assert c2.weight == pytest.approx(900.0 / 997)
 
 
 def test_rebalance_with_cash():
     algo = algos.Rebalance()
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
     s.set_commissions(lambda q, p: 1)
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.setup(data)
     s.adjust(1000)
     s.update(dts[0])
 
-    s.temp['weights'] = {'c1': 1}
+    s.temp["weights"] = {"c1": 1}
     # set cash amount
-    s.temp['cash'] = 0.5
+    s.temp["cash"] = 0.5
 
     assert algo(s)
     assert s.value == 999
     assert s.capital == 599
-    c1 = s['c1']
+    c1 = s["c1"]
     assert c1.value == 400
     assert c1.position == 4
-    assert c1.weight == 400.0 / 999
+    assert c1.weight == pytest.approx(400.0 / 999)
 
-    s.temp['weights'] = {'c2': 1}
+    s.temp["weights"] = {"c2": 1}
     # change cash amount
-    s.temp['cash'] = 0.25
+    s.temp["cash"] = 0.25
 
     assert algo(s)
     assert s.value == 997
     assert s.capital == 297
-    c2 = s['c2']
+    c2 = s["c2"]
     assert c1.value == 0
     assert c1.position == 0
     assert c1.weight == 0
     assert c2.value == 700
     assert c2.position == 7
-    assert c2.weight == 700.0 / 997
+    assert c2.weight == pytest.approx(700.0 / 997)
+
 
 def test_rebalance_updatecount():
 
     algo = algos.Rebalance()
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
     s.use_integer_positions(False)
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3', 'c4','c5'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3", "c4", "c5"], data=100)
 
     s.setup(data)
     s.adjust(1000)
     s.update(dts[0])
 
-    s.temp['weights'] = {'c1': 0.25, 'c2':0.25, 'c3':0.25, 'c4':0.25}
+    s.temp["weights"] = {"c1": 0.25, "c2": 0.25, "c3": 0.25, "c4": 0.25}
 
     update = bt.core.SecurityBase.update
     bt.core.SecurityBase._update_call_count = 0
+
     def side_effect(self, *args, **kwargs):
         bt.core.SecurityBase._update_call_count += 1
         return update(self, *args, **kwargs)
 
-    with mock.patch.object(bt.core.SecurityBase, 'update', side_effect) as mock_update:
+    with mock.patch.object(bt.core.SecurityBase, "update", side_effect) as mock_update:
         assert algo(s)
 
     assert s.value == 1000
@@ -617,15 +570,16 @@ def side_effect(self, *args, **kwargs):
     assert bt.core.SecurityBase._update_call_count == 8
 
     s.update(dts[1])
-    s.temp['weights'] = {'c1': 0.5, 'c2':0.5}
+    s.temp["weights"] = {"c1": 0.5, "c2": 0.5}
 
     update = bt.core.SecurityBase.update
     bt.core.SecurityBase._update_call_count = 0
+
     def side_effect(self, *args, **kwargs):
         bt.core.SecurityBase._update_call_count += 1
         return update(self, *args, **kwargs)
 
-    with mock.patch.object(bt.core.SecurityBase, 'update', side_effect) as mock_update:
+    with mock.patch.object(bt.core.SecurityBase, "update", side_effect) as mock_update:
         assert algo(s)
 
     # Update is called once for each weighted security before allocation (4)
@@ -633,357 +587,361 @@ def side_effect(self, *args, **kwargs):
     assert bt.core.SecurityBase._update_call_count == 8
 
     s.update(dts[2])
-    s.temp['weights'] = {'c1': 0.25, 'c2':0.25, 'c3':0.25, 'c4':0.25}
+    s.temp["weights"] = {"c1": 0.25, "c2": 0.25, "c3": 0.25, "c4": 0.25}
 
     update = bt.core.SecurityBase.update
     bt.core.SecurityBase._update_call_count = 0
+
     def side_effect(self, *args, **kwargs):
         bt.core.SecurityBase._update_call_count += 1
         return update(self, *args, **kwargs)
 
-    with mock.patch.object(bt.core.SecurityBase, 'update', side_effect) as mock_update:
+    with mock.patch.object(bt.core.SecurityBase, "update", side_effect) as mock_update:
         assert algo(s)
 
     # Update is called once for each weighted security before allocation (2)
     # and once for each security after all allocations are made (4)
     assert bt.core.SecurityBase._update_call_count == 6
 
+
 def test_rebalance_fixedincome():
     algo = algos.Rebalance()
-    c1 = bt.Security('c1')
-    c2 = bt.CouponPayingSecurity('c2')
-    s = bt.FixedIncomeStrategy('s', children = [c1, c2])
+    c1 = bt.Security("c1")
+    c2 = bt.CouponPayingSecurity("c2")
+    s = bt.FixedIncomeStrategy("s", children=[c1, c2])
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    coupons = pd.DataFrame(index=dts, columns=['c2'], data=0)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    coupons = pd.DataFrame(index=dts, columns=["c2"], data=0)
     s.setup(data, coupons=coupons)
     s.update(dts[0])
-    s.temp['notional_value'] = 1000
-    s.temp['weights'] = {'c1': 1}
+    s.temp["notional_value"] = 1000
+    s.temp["weights"] = {"c1": 1}
     assert algo(s)
-    assert s.value == 0.
+    assert s.value == pytest.approx(0.0)
     assert s.notional_value == 1000
     assert s.capital == -1000
-    c1 = s['c1']
+    c1 = s["c1"]
     assert c1.value == 1000
     assert c1.notional_value == 1000
     assert c1.position == 10
-    assert c1.weight == 1.
+    assert c1.weight == pytest.approx(1.0)
 
-    s.temp['weights'] = {'c2': 1}
+    s.temp["weights"] = {"c2": 1}
 
     assert algo(s)
-    assert s.value == 0.
+    assert s.value == pytest.approx(0.0)
     assert s.notional_value == 1000
-    assert s.capital == -1000*100
-    c2 = s['c2']
+    assert s.capital == -1000 * 100
+    c2 = s["c2"]
     assert c1.value == 0
     assert c1.notional_value == 0
     assert c1.position == 0
     assert c1.weight == 0
-    assert c2.value == 1000*100
+    assert c2.value == 1000 * 100
     assert c2.notional_value == 1000
     assert c2.position == 1000
-    assert c2.weight == 1.
+    assert c2.weight == pytest.approx(1.0)
+
 
 def test_select_all():
     algo = algos.SelectAll()
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'][dts[1]] = np.nan
-    data['c2'][dts[1]] = 95
-    data['c1'][dts[2]] = -5
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[1], "c1"] = np.nan
+    data.loc[dts[1], "c2"] = 95
+    data.loc[dts[2], "c1"] = -5
 
     s.setup(data)
     s.update(dts[0])
 
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
     # make sure don't keep nan
     s.update(dts[1])
 
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'c2' in selected
+    assert "c2" in selected
 
     # if specify include_no_data then 2
     algo2 = algos.SelectAll(include_no_data=True)
 
     assert algo2(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
     # behavior on negative prices
     s.update(dts[2])
 
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'c2' in selected
+    assert "c2" in selected
 
     algo3 = algos.SelectAll(include_negative=True)
 
     assert algo3(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
+
 
 def test_select_randomly_n_none():
-    algo = algos.SelectRandomly(n=None) # Behaves like SelectAll
+    algo = algos.SelectRandomly(n=None)  # Behaves like SelectAll
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'][dts[1]] = np.nan
-    data['c2'][dts[1]] = 95
-    data['c1'][dts[2]] = -5
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[1], "c1"] = np.nan
+    data.loc[dts[1], "c2"] = 95
+    data.loc[dts[2], "c1"] = -5
 
     s.setup(data)
     s.update(dts[0])
 
     assert algo(s)
-    selected = s.temp.pop('selected')
+    selected = s.temp.pop("selected")
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
     # make sure don't keep nan
     s.update(dts[1])
 
     assert algo(s)
-    selected = s.temp.pop('selected')
+    selected = s.temp.pop("selected")
     assert len(selected) == 1
-    assert 'c2' in selected
+    assert "c2" in selected
 
     # if specify include_no_data then 2
     algo2 = algos.SelectRandomly(n=None, include_no_data=True)
 
     assert algo2(s)
-    selected = s.temp.pop('selected')
+    selected = s.temp.pop("selected")
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
     # behavior on negative prices
     s.update(dts[2])
 
     assert algo(s)
-    selected = s.temp.pop('selected')
+    selected = s.temp.pop("selected")
     assert len(selected) == 1
-    assert 'c2' in selected
+    assert "c2" in selected
 
     algo3 = algos.SelectRandomly(n=None, include_negative=True)
 
     assert algo3(s)
-    selected = s.temp.pop('selected')
+    selected = s.temp.pop("selected")
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
+
 
 def test_select_randomly():
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100.)
-    data['c1'][dts[0]] = np.nan
-    data['c2'][dts[0]] = 95
-    data['c3'][dts[0]] = -5
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100.0)
+    data.loc[dts[0], "c1"] = np.nan
+    data.loc[dts[0], "c2"] = 95
+    data.loc[dts[0], "c3"] = -5
 
     s.setup(data)
     s.update(dts[0])
 
     algo = algos.SelectRandomly(n=1)
     assert algo(s)
-    assert s.temp.pop('selected') == ['c2']
+    assert s.temp.pop("selected") == ["c2"]
 
     random.seed(1000)
     algo = algos.SelectRandomly(n=1, include_negative=True)
     assert algo(s)
-    assert s.temp.pop('selected') == ['c3']
+    assert s.temp.pop("selected") == ["c3"]
 
     random.seed(1009)
     algo = algos.SelectRandomly(n=1, include_no_data=True)
     assert algo(s)
-    assert s.temp.pop('selected') == ['c1']
+    assert s.temp.pop("selected") == ["c1"]
 
     random.seed(1009)
     # If selected already set, it will further filter it
-    s.temp['selected'] = ['c2']
+    s.temp["selected"] = ["c2"]
     algo = algos.SelectRandomly(n=1, include_no_data=True)
     assert algo(s)
-    assert s.temp.pop('selected') == ['c2']
+    assert s.temp.pop("selected") == ["c2"]
 
 
 def test_select_these():
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'][dts[1]] = np.nan
-    data['c2'][dts[1]] = 95
-    data['c1'][dts[2]] = -5
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[1], "c1"] = np.nan
+    data.loc[dts[1], "c2"] = 95
+    data.loc[dts[2], "c1"] = -5
 
     s.setup(data)
     s.update(dts[0])
 
-    algo = algos.SelectThese( ['c1', 'c2'])
+    algo = algos.SelectThese(["c1", "c2"])
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
-    algo = algos.SelectThese( ['c1'])
+    algo = algos.SelectThese(["c1"])
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'c1' in selected
-
+    assert "c1" in selected
 
     # make sure don't keep nan
     s.update(dts[1])
 
-    algo = algos.SelectThese( ['c1', 'c2'])
+    algo = algos.SelectThese(["c1", "c2"])
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'c2' in selected
+    assert "c2" in selected
 
     # if specify include_no_data then 2
-    algo2 = algos.SelectThese( ['c1', 'c2'], include_no_data=True)
+    algo2 = algos.SelectThese(["c1", "c2"], include_no_data=True)
 
     assert algo2(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
     # behavior on negative prices
     s.update(dts[2])
 
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'c2' in selected
+    assert "c2" in selected
 
-    algo3 = algos.SelectThese(['c1', 'c2'], include_negative=True)
+    algo3 = algos.SelectThese(["c1", "c2"], include_negative=True)
 
     assert algo3(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
 
 def test_select_where_all():
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'][dts[1]] = np.nan
-    data['c2'][dts[1]] = 95
-    data['c1'][dts[2]] = -5
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[1], "c1"] = np.nan
+    data.loc[dts[1], "c2"] = 95
+    data.loc[dts[2], "c1"] = -5
 
-    where = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=True)
+    where = pd.DataFrame(index=dts, columns=["c1", "c2"], data=True)
 
-    s.setup(data, where = where)
+    s.setup(data, where=where)
     s.update(dts[0])
 
-    algo = algos.SelectWhere('where')
+    algo = algos.SelectWhere("where")
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
     # make sure don't keep nan
     s.update(dts[1])
 
-    algo = algos.SelectThese( ['c1', 'c2'])
+    algo = algos.SelectThese(["c1", "c2"])
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'c2' in selected
+    assert "c2" in selected
 
     # if specify include_no_data then 2
-    algo2 = algos.SelectWhere('where', include_no_data=True)
+    algo2 = algos.SelectWhere("where", include_no_data=True)
 
     assert algo2(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
     # behavior on negative prices
     s.update(dts[2])
 
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'c2' in selected
+    assert "c2" in selected
 
-    algo3 = algos.SelectWhere('where', include_negative=True)
+    algo3 = algos.SelectWhere("where", include_negative=True)
 
     assert algo3(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
 
 def test_select_where():
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
 
-    where = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=True)
-    where.loc[ dts[1] ] = False
-    where['c1'].loc[ dts[2] ] = False
+    where = pd.DataFrame(index=dts, columns=["c1", "c2"], data=True)
+    where.loc[dts[1]] = False
+    where.loc[dts[2], "c1"] = False
 
-    algo = algos.SelectWhere('where')
+    algo = algos.SelectWhere("where")
 
     s.setup(data, where=where)
     s.update(dts[0])
 
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
     s.update(dts[1])
     assert algo(s)
-    assert s.temp['selected'] == []
+    assert s.temp["selected"] == []
 
     s.update(dts[2])
     assert algo(s)
-    assert s.temp['selected'] == ['c2']
-    
- 
+    assert s.temp["selected"] == ["c2"]
+
+
 def test_select_where_legacy():
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
 
-    where = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=True)
-    where.loc[ dts[1] ] = False
-    where['c1'].loc[ dts[2] ] = False
+    where = pd.DataFrame(index=dts, columns=["c1", "c2"], data=True)
+    where.loc[dts[1]] = False
+    where.loc[dts[2], "c1"] = False
 
     algo = algos.SelectWhere(where)
 
@@ -991,603 +949,608 @@ def test_select_where_legacy():
     s.update(dts[0])
 
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
     s.update(dts[1])
     assert algo(s)
-    assert s.temp['selected'] == []
+    assert s.temp["selected"] == []
 
     s.update(dts[2])
     assert algo(s)
-    assert s.temp['selected'] == ['c2']
+    assert s.temp["selected"] == ["c2"]
 
 
 def test_select_regex():
-    s = bt.Strategy('s')
-    algo = algos.SelectRegex( 'c1' )
+    s = bt.Strategy("s")
+    algo = algos.SelectRegex("c1")
 
-    s.temp['selected'] = ['a1', 'c1', 'c2', 'c11', 'cc1']
-    assert algo( s )
-    assert s.temp['selected'] == ['c1', 'c11', 'cc1']
+    s.temp["selected"] = ["a1", "c1", "c2", "c11", "cc1"]
+    assert algo(s)
+    assert s.temp["selected"] == ["c1", "c11", "cc1"]
 
-    algo = algos.SelectRegex( '^c1$' )
-    assert algo( s )
-    assert s.temp['selected'] == ['c1']
+    algo = algos.SelectRegex("^c1$")
+    assert algo(s)
+    assert s.temp["selected"] == ["c1"]
 
 
 def test_resolve_on_the_run():
-    s = bt.Strategy('s')
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'b1'], data=100.)
-    data['c1'][dts[1]] = np.nan
-    data['c2'][dts[1]] = 95
-    data['c2'][dts[2]] = -5
+    s = bt.Strategy("s")
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "b1"], data=100.0)
+    data.loc[dts[1], "c1"] = np.nan
+    data.loc[dts[1], "c2"] = 95
+    data.loc[dts[2], "c2"] = -5
 
-    on_the_run = pd.DataFrame(index=dts, columns=['c'], data='c1')
-    on_the_run.loc[dts[2], 'c'] = 'c2'
+    on_the_run = pd.DataFrame(index=dts, columns=["c"], data="c1")
+    on_the_run.loc[dts[2], "c"] = "c2"
 
-    s.setup(data, on_the_run = on_the_run)
+    s.setup(data, on_the_run=on_the_run)
     s.update(dts[0])
-    
-    s.temp['selected'] = ['c', 'b1']
-    algo = algos.ResolveOnTheRun( 'on_the_run' )
+
+    s.temp["selected"] = ["c", "b1"]
+    algo = algos.ResolveOnTheRun("on_the_run")
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'b1' in selected
+    assert "c1" in selected
+    assert "b1" in selected
 
     # make sure don't keep nan
     s.update(dts[1])
 
-    s.temp['selected'] = ['c', 'b1']       
+    s.temp["selected"] = ["c", "b1"]
     assert algo(s)
-    selected = s.temp['selected']
-    assert len(selected) == 1        
-    assert 'b1' in selected
-    
+    selected = s.temp["selected"]
+    assert len(selected) == 1
+    assert "b1" in selected
+
     # if specify include_no_data then 2
-    algo2 = algos.ResolveOnTheRun('on_the_run', include_no_data=True)
-    s.temp['selected'] = ['c', 'b1']
+    algo2 = algos.ResolveOnTheRun("on_the_run", include_no_data=True)
+    s.temp["selected"] = ["c", "b1"]
     assert algo2(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'b1' in selected
+    assert "c1" in selected
+    assert "b1" in selected
 
     # behavior on negative prices
     s.update(dts[2])
 
-    s.temp['selected'] = ['c', 'b1']
+    s.temp["selected"] = ["c", "b1"]
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'b1' in selected
+    assert "b1" in selected
 
-    algo3 = algos.ResolveOnTheRun('on_the_run', include_negative=True)
-    s.temp['selected'] = ['c', 'b1']
+    algo3 = algos.ResolveOnTheRun("on_the_run", include_negative=True)
+    s.temp["selected"] = ["c", "b1"]
     assert algo3(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c2' in selected
-    assert 'b1' in selected       
+    assert "c2" in selected
+    assert "b1" in selected
 
 
 def test_select_types():
-    c1 = bt.Security('c1')
-    c2 = bt.CouponPayingSecurity('c2')
-    c3 = bt.HedgeSecurity('c3')
-    c4 = bt.CouponPayingHedgeSecurity('c4')
-    c5 = bt.FixedIncomeSecurity('c5')
+    c1 = bt.Security("c1")
+    c2 = bt.CouponPayingSecurity("c2")
+    c3 = bt.HedgeSecurity("c3")
+    c4 = bt.CouponPayingHedgeSecurity("c4")
+    c5 = bt.FixedIncomeSecurity("c5")
 
-    s = bt.Strategy('p', children = [c1, c2, c3, c4, c5])
+    s = bt.Strategy("p", children=[c1, c2, c3, c4, c5])
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3', 'c4', 'c5'], data=100.)
-    coupons = pd.DataFrame(index=dts, columns=['c2', 'c4'], data=0.)
-    s.setup(data, coupons = coupons)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3", "c4", "c5"], data=100.0)
+    coupons = pd.DataFrame(index=dts, columns=["c2", "c4"], data=0.0)
+    s.setup(data, coupons=coupons)
 
     i = 0
     s.update(dts[i])
 
-    algo = algos.SelectTypes(include_types=(bt.Security, bt.HedgeSecurity), exclude_types=())
+    algo = algos.SelectTypes(
+        include_types=(bt.Security, bt.HedgeSecurity), exclude_types=()
+    )
     assert algo(s)
-    assert set(s.temp.pop('selected')) == set(['c1', 'c3'])
+    assert set(s.temp.pop("selected")) == set(["c1", "c3"])
 
-    algo = algos.SelectTypes(include_types=(bt.core.SecurityBase,), exclude_types=(bt.CouponPayingSecurity,))
+    algo = algos.SelectTypes(
+        include_types=(bt.core.SecurityBase,), exclude_types=(bt.CouponPayingSecurity,)
+    )
     assert algo(s)
-    assert set(s.temp.pop('selected')) == set(['c1', 'c3', 'c5'])
+    assert set(s.temp.pop("selected")) == set(["c1", "c3", "c5"])
 
-    s.temp['selected'] = ['c1', 'c2', 'c3']
+    s.temp["selected"] = ["c1", "c2", "c3"]
     algo = algos.SelectTypes(include_types=(bt.core.SecurityBase,))
     assert algo(s)
-    assert set(s.temp.pop('selected')) == set(['c1', 'c2', 'c3'])
+    assert set(s.temp.pop("selected")) == set(["c1", "c2", "c3"])
 
 
 def test_weight_equally():
     algo = algos.WeighEqually()
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.setup(data)
     s.update(dts[0])
-    s.temp['selected'] = ['c1', 'c2']
+    s.temp["selected"] = ["c1", "c2"]
 
     assert algo(s)
-    weights = s.temp['weights']
+    weights = s.temp["weights"]
     assert len(weights) == 2
-    assert 'c1' in weights
-    assert weights['c1'] == 0.5
-    assert 'c2' in weights
-    assert weights['c2'] == 0.5
+    assert "c1" in weights
+    assert weights["c1"] == pytest.approx(0.5)
+    assert "c2" in weights
+    assert weights["c2"] == pytest.approx(0.5)
 
 
 def test_weight_specified():
     algo = algos.WeighSpecified(c1=0.6, c2=0.4)
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
     s.update(dts[0])
 
     assert algo(s)
-    weights = s.temp['weights']
+    weights = s.temp["weights"]
     assert len(weights) == 2
-    assert 'c1' in weights
-    assert weights['c1'] == 0.6
-    assert 'c2' in weights
-    assert weights['c2'] == 0.4
+    assert "c1" in weights
+    assert weights["c1"] == pytest.approx(0.6)
+    assert "c2" in weights
+    assert weights["c2"] == pytest.approx(0.4)
 
 
 def test_scale_weights():
-    s = bt.Strategy('s')
-    algo = algos.ScaleWeights( -0.5 )
+    s = bt.Strategy("s")
+    algo = algos.ScaleWeights(-0.5)
 
-    s.temp['weights'] = {'c1': 0.5, 'c2': -0.4, 'c3':0 }
-    assert algo( s )
-    assert s.temp['weights'] == {'c1':-0.25, 'c2':0.2, 'c3':0}
+    s.temp["weights"] = {"c1": 0.5, "c2": -0.4, "c3": 0}
+    assert algo(s)
+    assert s.temp["weights"] == pytest.approx({"c1": -0.25, "c2": 0.2, "c3": 0})
 
 
 def test_select_has_data():
     algo = algos.SelectHasData(min_count=3, lookback=pd.DateOffset(days=3))
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=10)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'].loc[dts[0]] = np.nan
-    data['c1'].loc[dts[1]] = np.nan
+    dts = pd.date_range("2010-01-01", periods=10)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[0], "c1"] = np.nan
+    data.loc[dts[1], "c1"] = np.nan
 
     s.setup(data)
     s.update(dts[2])
 
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'c2' in selected
+    assert "c2" in selected
 
 
 def test_select_has_data_preselected():
     algo = algos.SelectHasData(min_count=3, lookback=pd.DateOffset(days=3))
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'].loc[dts[0]] = np.nan
-    data['c1'].loc[dts[1]] = np.nan
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[0], "c1"] = np.nan
+    data.loc[dts[1], "c1"] = np.nan
 
     s.setup(data)
     s.update(dts[2])
-    s.temp['selected'] = ['c1']
+    s.temp["selected"] = ["c1"]
 
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 0
 
 
-@mock.patch('ffn.calc_erc_weights')
+@mock.patch("ffn.calc_erc_weights")
 def test_weigh_erc(mock_erc):
     algo = algos.WeighERC(lookback=pd.DateOffset(days=5))
 
-    mock_erc.return_value = pd.Series({'c1': 0.3, 'c2': 0.7})
+    mock_erc.return_value = pd.Series({"c1": 0.3, "c2": 0.7})
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=5)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
+    dts = pd.date_range("2010-01-01", periods=5)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
 
     s.setup(data)
     s.update(dts[4])
-    s.temp['selected'] = ['c1', 'c2']
+    s.temp["selected"] = ["c1", "c2"]
 
     assert algo(s)
     assert mock_erc.called
     rets = mock_erc.call_args[0][0]
     assert len(rets) == 4
-    assert 'c1' in rets
-    assert 'c2' in rets
+    assert "c1" in rets
+    assert "c2" in rets
 
-    weights = s.temp['weights']
+    weights = s.temp["weights"]
     assert len(weights) == 2
-    assert weights['c1'] == 0.3
-    assert weights['c2'] == 0.7
+    assert weights["c1"] == pytest.approx(0.3)
+    assert weights["c2"] == pytest.approx(0.7)
 
 
 def test_weigh_target():
-    algo = algos.WeighTarget('target')
-    
-    s = bt.Strategy('s')
-
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    target = pd.DataFrame(index=dts[:2], columns=['c1', 'c2'], data=0.5)
-    target['c1'].loc[dts[1]] = 1.0
-    target['c2'].loc[dts[1]] = 0.0
-    
-    s.setup( data, target = target )
-    
+    algo = algos.WeighTarget("target")
+
+    s = bt.Strategy("s")
+
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    target = pd.DataFrame(index=dts[:2], columns=["c1", "c2"], data=0.5)
+    target.loc[dts[1], "c1"] = 1.0
+    target.loc[dts[1], "c2"] = 0.0
+
+    s.setup(data, target=target)
+
     s.update(dts[0])
     assert algo(s)
-    weights = s.temp['weights']
+    weights = s.temp["weights"]
     assert len(weights) == 2
-    assert weights['c1'] == 0.5
-    assert weights['c2'] == 0.5
-    
+    assert weights["c1"] == pytest.approx(0.5)
+    assert weights["c2"] == pytest.approx(0.5)
+
     s.update(dts[1])
     assert algo(s)
-    weights = s.temp['weights']
+    weights = s.temp["weights"]
     assert len(weights) == 2
-    assert weights['c1'] == 1.0
-    assert weights['c2'] == 0.0
-    
+    assert weights["c1"] == pytest.approx(1.0)
+    assert weights["c2"] == pytest.approx(0.0)
+
     s.update(dts[2])
     assert not algo(s)
-    
-    
+
+
 def test_weigh_inv_vol():
     algo = algos.WeighInvVol(lookback=pd.DateOffset(days=5))
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=5)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
+    dts = pd.date_range("2010-01-01", periods=5)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
 
     # high vol c1
-    data['c1'].loc[dts[1]] = 105
-    data['c1'].loc[dts[2]] = 95
-    data['c1'].loc[dts[3]] = 105
-    data['c1'].loc[dts[4]] = 95
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[2], "c1"] = 95
+    data.loc[dts[3], "c1"] = 105
+    data.loc[dts[4], "c1"] = 95
 
     # low vol c2
-    data['c2'].loc[dts[1]] = 100.1
-    data['c2'].loc[dts[2]] = 99.9
-    data['c2'].loc[dts[3]] = 100.1
-    data['c2'].loc[dts[4]] = 99.9
+    data.loc[dts[1], "c2"] = 100.1
+    data.loc[dts[2], "c2"] = 99.9
+    data.loc[dts[3], "c2"] = 100.1
+    data.loc[dts[4], "c2"] = 99.9
 
     s.setup(data)
     s.update(dts[4])
-    s.temp['selected'] = ['c1', 'c2']
+    s.temp["selected"] = ["c1", "c2"]
 
     assert algo(s)
-    weights = s.temp['weights']
+    weights = s.temp["weights"]
     assert len(weights) == 2
-    assert weights['c2'] > weights['c1']
-    aae(weights['c1'], 0.020, 3)
-    aae(weights['c2'], 0.980, 3)
+    assert weights["c2"] > weights["c1"]
+    assert weights["c1"] == pytest.approx(0.020, 3)
+    assert weights["c2"] == pytest.approx(0.980, 3)
 
 
-@mock.patch('ffn.calc_mean_var_weights')
+@mock.patch("ffn.calc_mean_var_weights")
 def test_weigh_mean_var(mock_mv):
     algo = algos.WeighMeanVar(lookback=pd.DateOffset(days=5))
 
-    mock_mv.return_value = pd.Series({'c1': 0.3, 'c2': 0.7})
+    mock_mv.return_value = pd.Series({"c1": 0.3, "c2": 0.7})
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=5)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
+    dts = pd.date_range("2010-01-01", periods=5)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
 
     s.setup(data)
     s.update(dts[4])
-    s.temp['selected'] = ['c1', 'c2']
+    s.temp["selected"] = ["c1", "c2"]
 
     assert algo(s)
     assert mock_mv.called
     rets = mock_mv.call_args[0][0]
     assert len(rets) == 4
-    assert 'c1' in rets
-    assert 'c2' in rets
+    assert "c1" in rets
+    assert "c2" in rets
 
-    weights = s.temp['weights']
+    weights = s.temp["weights"]
     assert len(weights) == 2
-    assert weights['c1'] == 0.3
-    assert weights['c2'] == 0.7
+    assert weights["c1"] == pytest.approx(0.3)
+    assert weights["c2"] == pytest.approx(0.7)
 
 
 def test_weigh_randomly():
-    s = bt.Strategy('s')
-    s.temp['selected'] = ['c1', 'c2', 'c3']
+    s = bt.Strategy("s")
+    s.temp["selected"] = ["c1", "c2", "c3"]
 
     algo = algos.WeighRandomly()
     assert algo(s)
-    weights = s.temp['weights']
-    assert len( weights ) == 3
-    assert sum( weights.values() ) == 1.
+    weights = s.temp["weights"]
+    assert len(weights) == 3
+    assert sum(weights.values()) == pytest.approx(1.0)
 
-    algo = algos.WeighRandomly( (0.3,0.5), 0.95)
+    algo = algos.WeighRandomly((0.3, 0.5), 0.95)
     assert algo(s)
-    weights = s.temp['weights']
-    assert len( weights ) == 3
-    aae( sum( weights.values() ), 0.95 )
-    for c in s.temp['selected']:
+    weights = s.temp["weights"]
+    assert len(weights) == 3
+    assert sum(weights.values()) == pytest.approx(0.95)
+    for c in s.temp["selected"]:
         assert weights[c] <= 0.5
         assert weights[c] >= 0.3
 
 
 def test_set_stat():
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'].loc[dts[1]] = 105
-    data['c2'].loc[dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
-    stat = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=4.)
-    stat['c1'].loc[dts[1]] = 5.
-    stat['c2'].loc[dts[1]] = 6.
+    stat = pd.DataFrame(index=dts, columns=["c1", "c2"], data=4.0)
+    stat.loc[dts[1], "c1"] = 5.0
+    stat.loc[dts[1], "c2"] = 6.0
 
-    algo = algos.SetStat( 'test_stat' )
+    algo = algos.SetStat("test_stat")
 
-    s.setup(data, test_stat = stat)
+    s.setup(data, test_stat=stat)
     s.update(dts[0])
     print()
-    print(s.get_data('test_stat'))
+    print(s.get_data("test_stat"))
     assert algo(s)
-    stat = s.temp['stat']
-    assert stat['c1'] == 4.
-    assert stat['c2'] == 4.
+    stat = s.temp["stat"]
+    assert stat["c1"] == pytest.approx(4.0)
+    assert stat["c2"] == pytest.approx(4.0)
 
-    s.update(dts[1])        
+    s.update(dts[1])
     assert algo(s)
-    stat = s.temp['stat']
-    assert stat['c1'] == 5.
-    assert stat['c2'] == 6.
-    
+    stat = s.temp["stat"]
+    assert stat["c1"] == pytest.approx(5.0)
+    assert stat["c2"] == pytest.approx(6.0)
+
+
 def test_set_stat_legacy():
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'].loc[dts[1]] = 105
-    data['c2'].loc[dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
-    stat = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=4.)
-    stat['c1'].loc[dts[1]] = 5.
-    stat['c2'].loc[dts[1]] = 6.
+    stat = pd.DataFrame(index=dts, columns=["c1", "c2"], data=4.0)
+    stat.loc[dts[1], "c1"] = 5.0
+    stat.loc[dts[1], "c2"] = 6.0
 
-    algo = algos.SetStat( stat )
+    algo = algos.SetStat(stat)
 
     s.setup(data)
     s.update(dts[0])
     assert algo(s)
-    stat = s.temp['stat']
-    assert stat['c1'] == 4.
-    assert stat['c2'] == 4.
+    stat = s.temp["stat"]
+    assert stat["c1"] == pytest.approx(4.0)
+    assert stat["c2"] == pytest.approx(4.0)
 
-    s.update(dts[1])        
+    s.update(dts[1])
     assert algo(s)
-    stat = s.temp['stat']
-    assert stat['c1'] == 5.
-    assert stat['c2'] == 6.
+    stat = s.temp["stat"]
+    assert stat["c1"] == pytest.approx(5.0)
+    assert stat["c2"] == pytest.approx(6.0)
 
 
 def test_stat_total_return():
     algo = algos.StatTotalReturn(lookback=pd.DateOffset(days=3))
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'].loc[dts[2]] = 105
-    data['c2'].loc[dts[2]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[2], "c1"] = 105
+    data.loc[dts[2], "c2"] = 95
 
     s.setup(data)
     s.update(dts[2])
-    s.temp['selected'] = ['c1', 'c2']
+    s.temp["selected"] = ["c1", "c2"]
 
     assert algo(s)
-    stat = s.temp['stat']
+    stat = s.temp["stat"]
     assert len(stat) == 2
-    assert stat['c1'] == 105.0 / 100 - 1
-    assert stat['c2'] == 95.0 / 100 - 1
+    assert stat["c1"] == pytest.approx(105.0 / 100 - 1)
+    assert stat["c2"] == pytest.approx(95.0 / 100 - 1)
 
 
 def test_select_n():
     algo = algos.SelectN(n=1, sort_descending=True)
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'].loc[dts[2]] = 105
-    data['c2'].loc[dts[2]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[2], "c1"] = 105
+    data.loc[dts[2], "c2"] = 95
 
     s.setup(data)
     s.update(dts[2])
-    s.temp['stat'] = data.calc_total_return()
+    s.temp["stat"] = data.calc_total_return()
 
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'c1' in selected
+    assert "c1" in selected
 
     algo = algos.SelectN(n=1, sort_descending=False)
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'c2' in selected
+    assert "c2" in selected
 
     # return 2 we have if all_or_none false
     algo = algos.SelectN(n=3, sort_descending=False)
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 2
-    assert 'c1' in selected
-    assert 'c2' in selected
+    assert "c1" in selected
+    assert "c2" in selected
 
     # return 0 we have if all_or_none true
     algo = algos.SelectN(n=3, sort_descending=False, all_or_none=True)
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 0
 
 
 def test_select_n_perc():
     algo = algos.SelectN(n=0.5, sort_descending=True)
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'].loc[dts[2]] = 105
-    data['c2'].loc[dts[2]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[2], "c1"] = 105
+    data.loc[dts[2], "c2"] = 95
 
     s.setup(data)
     s.update(dts[2])
-    s.temp['stat'] = data.calc_total_return()
+    s.temp["stat"] = data.calc_total_return()
 
     assert algo(s)
-    selected = s.temp['selected']
+    selected = s.temp["selected"]
     assert len(selected) == 1
-    assert 'c1' in selected
+    assert "c1" in selected
 
 
 def test_select_momentum():
     algo = algos.SelectMomentum(n=1, lookback=pd.DateOffset(days=3))
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
-    data['c1'].loc[dts[2]] = 105
-    data['c2'].loc[dts[2]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
+    data.loc[dts[2], "c1"] = 105
+    data.loc[dts[2], "c2"] = 95
 
     s.setup(data)
     s.update(dts[2])
-    s.temp['selected'] = ['c1', 'c2']
+    s.temp["selected"] = ["c1", "c2"]
 
     assert algo(s)
-    actual = s.temp['selected']
+    actual = s.temp["selected"]
     assert len(actual) == 1
-    assert 'c1' in actual
+    assert "c1" in actual
 
 
 def test_limit_weights():
 
-    s = bt.Strategy('s')
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
+    s = bt.Strategy("s")
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
 
     s.setup(data)
-    s.temp['weights'] = {'c1': 0.6, 'c2':0.2, 'c3':0.2}
+    s.temp["weights"] = {"c1": 0.6, "c2": 0.2, "c3": 0.2}
 
     algo = algos.LimitWeights(0.5)
     assert algo(s)
-    w = s.temp['weights']
-    assert w['c1'] == 0.5
-    assert w['c2'] == 0.25
-    assert w['c3'] == 0.25
+    w = s.temp["weights"]
+    assert w["c1"] == pytest.approx(0.5)
+    assert w["c2"] == pytest.approx(0.25)
+    assert w["c3"] == pytest.approx(0.25)
 
     algo = algos.LimitWeights(0.3)
     assert algo(s)
-    w = s.temp['weights']
+    w = s.temp["weights"]
     assert w == {}
 
-    s.temp['weights'] = {'c1': 0.4, 'c2':0.3, 'c3':0.3}
+    s.temp["weights"] = {"c1": 0.4, "c2": 0.3, "c3": 0.3}
     algo = algos.LimitWeights(0.5)
     assert algo(s)
-    w = s.temp['weights']
-    assert w['c1'] == 0.4
-    assert w['c2'] == 0.3
-    assert w['c3'] == 0.3
-           
+    w = s.temp["weights"]
+    assert w["c1"] == pytest.approx(0.4)
+    assert w["c2"] == pytest.approx(0.3)
+    assert w["c3"] == pytest.approx(0.3)
+
 
 def test_limit_deltas():
-    s = bt.Strategy('s')
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
+    s = bt.Strategy("s")
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
 
     s.setup(data)
-    s.temp['weights'] = {'c1': 1}
+    s.temp["weights"] = {"c1": 1}
 
     algo = algos.LimitDeltas(0.1)
     assert algo(s)
-    w = s.temp['weights']
-    assert w['c1'] == 0.1
+    w = s.temp["weights"]
+    assert w["c1"] == pytest.approx(0.1)
 
-    s.temp['weights'] = {'c1': 0.05}
+    s.temp["weights"] = {"c1": 0.05}
     algo = algos.LimitDeltas(0.1)
     assert algo(s)
-    w = s.temp['weights']
-    assert w['c1'] == 0.05
+    w = s.temp["weights"]
+    assert w["c1"] == pytest.approx(0.05)
 
-    s.temp['weights'] = {'c1': 0.5, 'c2': 0.5}
+    s.temp["weights"] = {"c1": 0.5, "c2": 0.5}
     algo = algos.LimitDeltas(0.1)
     assert algo(s)
-    w = s.temp['weights']
+    w = s.temp["weights"]
     assert len(w) == 2
-    assert w['c1'] == 0.1
-    assert w['c2'] == 0.1
+    assert w["c1"] == pytest.approx(0.1)
+    assert w["c2"] == pytest.approx(0.1)
 
-    s.temp['weights'] = {'c1': 0.5, 'c2': -0.5}
+    s.temp["weights"] = {"c1": 0.5, "c2": -0.5}
     algo = algos.LimitDeltas(0.1)
     assert algo(s)
-    w = s.temp['weights']
+    w = s.temp["weights"]
     assert len(w) == 2
-    assert w['c1'] == 0.1
-    assert w['c2'] == -0.1
+    assert w["c1"] == pytest.approx(0.1)
+    assert w["c2"] == pytest.approx(-0.1)
 
-    s.temp['weights'] = {'c1': 0.5, 'c2': -0.5}
-    algo = algos.LimitDeltas({'c1': 0.1})
+    s.temp["weights"] = {"c1": 0.5, "c2": -0.5}
+    algo = algos.LimitDeltas({"c1": 0.1})
     assert algo(s)
-    w = s.temp['weights']
+    w = s.temp["weights"]
     assert len(w) == 2
-    assert w['c1'] == 0.1
-    assert w['c2'] == -0.5
+    assert w["c1"] == pytest.approx(0.1)
+    assert w["c2"] == pytest.approx(-0.5)
 
-    s.temp['weights'] = {'c1': 0.5, 'c2': -0.5}
-    algo = algos.LimitDeltas({'c1': 0.1, 'c2': 0.3})
+    s.temp["weights"] = {"c1": 0.5, "c2": -0.5}
+    algo = algos.LimitDeltas({"c1": 0.1, "c2": 0.3})
     assert algo(s)
-    w = s.temp['weights']
+    w = s.temp["weights"]
     assert len(w) == 2
-    assert w['c1'] == 0.1
-    assert w['c2'] == -0.3
+    assert w["c1"] == pytest.approx(0.1)
+    assert w["c2"] == pytest.approx(-0.3)
 
     # set exisitng weight
-    s.children['c1'] = bt.core.SecurityBase('c1')
-    s.children['c1']._weight = 0.3
-    s.children['c2'] = bt.core.SecurityBase('c2')
-    s.children['c2']._weight = -0.7
+    s.children["c1"] = bt.core.SecurityBase("c1")
+    s.children["c1"]._weight = 0.3
+    s.children["c2"] = bt.core.SecurityBase("c2")
+    s.children["c2"]._weight = -0.7
 
-    s.temp['weights'] = {'c1': 0.5, 'c2': -0.5}
+    s.temp["weights"] = {"c1": 0.5, "c2": -0.5}
     algo = algos.LimitDeltas(0.1)
     assert algo(s)
-    w = s.temp['weights']
+    w = s.temp["weights"]
     assert len(w) == 2
-    assert w['c1'] == 0.4
-    assert w['c2'] == -0.6
+    assert w["c1"] == pytest.approx(0.4)
+    assert w["c2"] == pytest.approx(-0.6)
 
 
 def test_rebalance_over_time():
@@ -1599,26 +1562,26 @@ def test_rebalance_over_time():
     algo._rb = rb
 
     target.temp = {}
-    target.temp['weights'] = {'a': 1, 'b': 0}
+    target.temp["weights"] = {"a": 1, "b": 0}
 
     a = mock.MagicMock()
-    a.weight = 0.
+    a.weight = 0.0
     b = mock.MagicMock()
-    b.weight = 1.
-    target.children = {'a': a, 'b': b}
+    b.weight = 1.0
+    target.children = {"a": a, "b": b}
 
     assert algo(target)
-    w = target.temp['weights']
+    w = target.temp["weights"]
     assert len(w) == 2
-    assert w['a'] == 0.5
-    assert w['b'] == 0.5
+    assert w["a"] == pytest.approx(0.5)
+    assert w["b"] == pytest.approx(0.5)
 
     assert rb.called
     called_tgt = rb.call_args[0][0]
-    called_tgt_w = called_tgt.temp['weights']
+    called_tgt_w = called_tgt.temp["weights"]
     assert len(called_tgt_w) == 2
-    assert called_tgt_w['a'] == 0.5
-    assert called_tgt_w['b'] == 0.5
+    assert called_tgt_w["a"] == pytest.approx(0.5)
+    assert called_tgt_w["b"] == pytest.approx(0.5)
 
     # update weights for next call
     a.weight = 0.5
@@ -1628,10 +1591,10 @@ def test_rebalance_over_time():
     target.temp = {}
 
     assert algo(target)
-    w = target.temp['weights']
+    w = target.temp["weights"]
     assert len(w) == 2
-    assert w['a'] == 1.
-    assert w['b'] == 0.
+    assert w["a"] == pytest.approx(1.0)
+    assert w["b"] == pytest.approx(0.0)
 
     assert rb.call_count == 2
 
@@ -1652,13 +1615,13 @@ def test_require():
     target = mock.MagicMock()
     target.temp = {}
 
-    algo = algos.Require(lambda x: len(x) > 0, 'selected')
+    algo = algos.Require(lambda x: len(x) > 0, "selected")
     assert not algo(target)
 
-    target.temp['selected'] = []
+    target.temp["selected"] = []
     assert not algo(target)
 
-    target.temp['selected'] = ['a', 'b']
+    target.temp["selected"] = ["a", "b"]
     assert algo(target)
 
 
@@ -1668,21 +1631,21 @@ def test_run_every_n_periods():
 
     algo = algos.RunEveryNPeriods(n=3, offset=0)
 
-    target.now = pd.to_datetime('2010-01-01')
+    target.now = pd.to_datetime("2010-01-01")
     assert algo(target)
     # run again w/ no date change should not trigger
     assert not algo(target)
 
-    target.now = pd.to_datetime('2010-01-02')
+    target.now = pd.to_datetime("2010-01-02")
     assert not algo(target)
 
-    target.now = pd.to_datetime('2010-01-03')
+    target.now = pd.to_datetime("2010-01-03")
     assert not algo(target)
 
-    target.now = pd.to_datetime('2010-01-04')
+    target.now = pd.to_datetime("2010-01-04")
     assert algo(target)
 
-    target.now = pd.to_datetime('2010-01-05')
+    target.now = pd.to_datetime("2010-01-05")
     assert not algo(target)
 
 
@@ -1692,21 +1655,21 @@ def test_run_every_n_periods_offset():
 
     algo = algos.RunEveryNPeriods(n=3, offset=1)
 
-    target.now = pd.to_datetime('2010-01-01')
+    target.now = pd.to_datetime("2010-01-01")
     assert not algo(target)
     # run again w/ no date change should not trigger
     assert not algo(target)
 
-    target.now = pd.to_datetime('2010-01-02')
+    target.now = pd.to_datetime("2010-01-02")
     assert algo(target)
 
-    target.now = pd.to_datetime('2010-01-03')
+    target.now = pd.to_datetime("2010-01-03")
     assert not algo(target)
 
-    target.now = pd.to_datetime('2010-01-04')
+    target.now = pd.to_datetime("2010-01-04")
     assert not algo(target)
 
-    target.now = pd.to_datetime('2010-01-05')
+    target.now = pd.to_datetime("2010-01-05")
     assert algo(target)
 
 
@@ -1714,14 +1677,14 @@ def test_not():
     target = mock.MagicMock()
     target.temp = {}
 
-    #run except on the 1/2/18
-    runOnDateAlgo = algos.RunOnDate(pd.to_datetime('2018-01-02'))
+    # run except on the 1/2/18
+    runOnDateAlgo = algos.RunOnDate(pd.to_datetime("2018-01-02"))
     notAlgo = algos.Not(runOnDateAlgo)
-    
-    target.now = pd.to_datetime('2018-01-01')
+
+    target.now = pd.to_datetime("2018-01-01")
     assert notAlgo(target)
-    
-    target.now = pd.to_datetime('2018-01-02')
+
+    target.now = pd.to_datetime("2018-01-02")
     assert not notAlgo(target)
 
 
@@ -1729,236 +1692,240 @@ def test_or():
     target = mock.MagicMock()
     target.temp = {}
 
-    #run on the 1/2/18
-    runOnDateAlgo = algos.RunOnDate(pd.to_datetime('2018-01-02'))
-    runOnDateAlgo2 = algos.RunOnDate(pd.to_datetime('2018-01-03'))
-    runOnDateAlgo3 = algos.RunOnDate(pd.to_datetime('2018-01-04'))
-    runOnDateAlgo4 = algos.RunOnDate(pd.to_datetime('2018-01-04'))
+    # run on the 1/2/18
+    runOnDateAlgo = algos.RunOnDate(pd.to_datetime("2018-01-02"))
+    runOnDateAlgo2 = algos.RunOnDate(pd.to_datetime("2018-01-03"))
+    runOnDateAlgo3 = algos.RunOnDate(pd.to_datetime("2018-01-04"))
+    runOnDateAlgo4 = algos.RunOnDate(pd.to_datetime("2018-01-04"))
 
     orAlgo = algos.Or([runOnDateAlgo, runOnDateAlgo2, runOnDateAlgo3, runOnDateAlgo4])
 
-    #verify it returns false when neither is true
-    target.now = pd.to_datetime('2018-01-01')
+    # verify it returns false when neither is true
+    target.now = pd.to_datetime("2018-01-01")
     assert not orAlgo(target)
 
     # verify it returns true when the first is true
-    target.now = pd.to_datetime('2018-01-02')
+    target.now = pd.to_datetime("2018-01-02")
     assert orAlgo(target)
 
     # verify it returns true when the second is true
-    target.now = pd.to_datetime('2018-01-03')
+    target.now = pd.to_datetime("2018-01-03")
     assert orAlgo(target)
 
     # verify it returns true when both algos return true
-    target.now = pd.to_datetime('2018-01-04')
+    target.now = pd.to_datetime("2018-01-04")
     assert orAlgo(target)
 
+
 def test_TargetVol():
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=7)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
+    dts = pd.date_range("2010-01-01", periods=7)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
 
     # high vol c1
-    data.loc[dts[0],'c1'] = 95
-    data.loc[dts[1],'c1'] = 105
-    data.loc[dts[2],'c1'] = 95
-    data.loc[dts[3],'c1'] = 105
-    data.loc[dts[4],'c1'] = 95
-    data.loc[dts[5],'c1'] = 105
-    data.loc[dts[6],'c1'] = 95
+    data.loc[dts[0], "c1"] = 95
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[2], "c1"] = 95
+    data.loc[dts[3], "c1"] = 105
+    data.loc[dts[4], "c1"] = 95
+    data.loc[dts[5], "c1"] = 105
+    data.loc[dts[6], "c1"] = 95
 
     # low vol c2
-    data.loc[dts[0], 'c2'] = 99
-    data.loc[dts[1], 'c2'] = 101
-    data.loc[dts[2], 'c2'] = 99
-    data.loc[dts[3], 'c2'] = 101
-    data.loc[dts[4], 'c2'] = 99
-    data.loc[dts[5], 'c2'] = 101
-    data.loc[dts[6], 'c2'] = 99
+    data.loc[dts[0], "c2"] = 99
+    data.loc[dts[1], "c2"] = 101
+    data.loc[dts[2], "c2"] = 99
+    data.loc[dts[3], "c2"] = 101
+    data.loc[dts[4], "c2"] = 99
+    data.loc[dts[5], "c2"] = 101
+    data.loc[dts[6], "c2"] = 99
 
     targetVolAlgo = algos.TargetVol(
         0.1,
         lookback=pd.DateOffset(days=5),
         lag=pd.DateOffset(days=1),
-        covar_method='standard',
-        annualization_factor=1
+        covar_method="standard",
+        annualization_factor=1,
     )
 
     s.setup(data)
     s.update(dts[6])
-    s.temp['weights'] = {'c1':0.5, 'c2':0.5}
+    s.temp["weights"] = {"c1": 0.5, "c2": 0.5}
 
     assert targetVolAlgo(s)
-    weights = s.temp['weights']
+    weights = s.temp["weights"]
     assert len(weights) == 2
-    assert np.isclose(weights['c2'],weights['c1'])
+    assert np.isclose(weights["c2"], weights["c1"])
 
-    unannualized_c2_weight = weights['c1']
+    unannualized_c2_weight = weights["c1"]
 
     targetVolAlgo = algos.TargetVol(
-        0.1*np.sqrt(252),
+        0.1 * np.sqrt(252),
         lookback=pd.DateOffset(days=5),
         lag=pd.DateOffset(days=1),
-        covar_method='standard',
-        annualization_factor=252
+        covar_method="standard",
+        annualization_factor=252,
     )
 
     s.setup(data)
     s.update(dts[6])
-    s.temp['weights'] = {'c1': 0.5, 'c2': 0.5}
+    s.temp["weights"] = {"c1": 0.5, "c2": 0.5}
 
     assert targetVolAlgo(s)
-    weights = s.temp['weights']
+    weights = s.temp["weights"]
     assert len(weights) == 2
-    assert np.isclose(weights['c2'], weights['c1'])
+    assert np.isclose(weights["c2"], weights["c1"])
 
-    assert np.isclose(unannualized_c2_weight, weights['c2'])
+    assert np.isclose(unannualized_c2_weight, weights["c2"])
 
 
 def test_PTE_Rebalance():
 
-    s = bt.Strategy('s')
+    s = bt.Strategy("s")
 
-    dts = pd.date_range('2010-01-01', periods=30*4)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100.)
+    dts = pd.date_range("2010-01-01", periods=30 * 4)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100.0)
 
     # high vol c1
     # low vol c2
-    for i,dt in enumerate(dts[:-2]):
+    for i, dt in enumerate(dts[:-2]):
         if i % 2 == 0:
-            data.loc[dt,'c1'] = 95
-            data.loc[dt,'c2'] = 101
+            data.loc[dt, "c1"] = 95
+            data.loc[dt, "c2"] = 101
         else:
-            data.loc[dt, 'c1'] = 105
-            data.loc[dt, 'c2'] = 99
+            data.loc[dt, "c1"] = 105
+            data.loc[dt, "c2"] = 99
 
     dt = dts[-2]
-    data.loc[dt,'c1'] = 115
-    data.loc[dt,'c2'] = 97
+    data.loc[dt, "c1"] = 115
+    data.loc[dt, "c2"] = 97
 
     s.setup(data)
     s.update(dts[-2])
     s.adjust(1000000)
-    s.rebalance(0.4,'c1')
-    s.rebalance(0.6,'c2')
-
-    wdf = pd.DataFrame(
-        np.zeros(data.shape),
-        columns=data.columns,
-        index=data.index
-    )
+    s.rebalance(0.4, "c1")
+    s.rebalance(0.6, "c2")
 
-    wdf['c1'] = 0.5
-    wdf['c2'] = 0.5
+    wdf = pd.DataFrame(np.zeros(data.shape), columns=data.columns, index=data.index)
 
+    wdf["c1"] = 0.5
+    wdf["c2"] = 0.5
 
     PTE_rebalance_Algo = bt.algos.PTE_Rebalance(
         0.01,
         wdf,
         lookback=pd.DateOffset(months=3),
         lag=pd.DateOffset(days=1),
-        covar_method='standard',
-        annualization_factor=252
+        covar_method="standard",
+        annualization_factor=252,
     )
 
     assert PTE_rebalance_Algo(s)
 
-    s.rebalance(0.5, 'c1')
-    s.rebalance(0.5, 'c2')
+    s.rebalance(0.5, "c1")
+    s.rebalance(0.5, "c2")
 
     assert not PTE_rebalance_Algo(s)
 
 
 def test_close_positions_after_date():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    c3 = bt.Security('c3')
-    s = bt.Strategy('s', children = [c1, c2, c3])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100)
-    c1 = s['c1']
-    c2 = s['c2']
-    c3 = s['c3']
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    c3 = bt.Security("c3")
+    s = bt.Strategy("s", children=[c1, c2, c3])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100)
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c3 = s["c3"]
 
-    cutoffs= pd.DataFrame( { 'date' : [ dts[1], dts[2] ] }, index = ['c1','c2']  )
+    cutoffs = pd.DataFrame({"date": [dts[1], dts[2]]}, index=["c1", "c2"])
 
-    algo = algos.ClosePositionsAfterDates( 'cutoffs' )
+    algo = algos.ClosePositionsAfterDates("cutoffs")
 
     s.setup(data, cutoffs=cutoffs)
 
     s.update(dts[0])
-    s.transact( 100, 'c1')
-    s.transact( 100, 'c2')
-    s.transact( 100, 'c3')
+    s.transact(100, "c1")
+    s.transact(100, "c2")
+    s.transact(100, "c3")
     algo(s)
     assert c1.position == 100
     assert c2.position == 100
     assert c3.position == 100
 
     # Don't run anything on dts[1], even though that's when c1 closes
-    s.update( dts[2])
+    s.update(dts[2])
     algo(s)
     assert c1.position == 0
     assert c2.position == 0
     assert c3.position == 100
-    assert s.perm['closed'] == set(['c1', 'c2'])
+    assert s.perm["closed"] == set(["c1", "c2"])
 
 
 def test_roll_positions_after_date():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    c3 = bt.Security('c3')
-    s = bt.Strategy('s', children = [c1, c2, c3])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100)
-    c1 = s['c1']
-    c2 = s['c2']
-    c3 = s['c3']
-
-    roll = pd.DataFrame( { 'date' : [ dts[1], dts[2] ], 'target' : [ 'c3', 'c1' ], 'factor' : [ 0.5, 2.0 ] }, index = ['c1','c2']  )
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    c3 = bt.Security("c3")
+    s = bt.Strategy("s", children=[c1, c2, c3])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100)
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c3 = s["c3"]
+
+    roll = pd.DataFrame(
+        {"date": [dts[1], dts[2]], "target": ["c3", "c1"], "factor": [0.5, 2.0]},
+        index=["c1", "c2"],
+    )
 
-    algo = algos.RollPositionsAfterDates( 'roll' )
+    algo = algos.RollPositionsAfterDates("roll")
 
     s.setup(data, roll=roll)
 
     s.update(dts[0])
-    s.transact( 100, 'c1')
-    s.transact( 100, 'c2')
-    s.transact( 100, 'c3')
+    s.transact(100, "c1")
+    s.transact(100, "c2")
+    s.transact(100, "c3")
     algo(s)
     assert c1.position == 100
     assert c2.position == 100
     assert c3.position == 100
 
     # Don't run anything on dts[1], even though that's when c1 closes
-    s.update( dts[2])
+    s.update(dts[2])
     algo(s)
-    assert c1.position == 200 # From c2
+    assert c1.position == 200  # From c2
     assert c2.position == 0
     assert c3.position == 100 + 50
-    assert s.perm['rolled'] == set(['c1', 'c2'])
+    assert s.perm["rolled"] == set(["c1", "c2"])
 
 
 def test_replay_transactions():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    s = bt.Strategy('s', children = [c1, c2])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100)
-    c1 = s['c1']
-    c2 = s['c2']
-
-    transactions = pd.DataFrame( [ ( pd.Timestamp( '2009-12-01 00'), 'c1', 100, 99.5),
-                                   ( pd.Timestamp( '2010-01-01 10'), 'c1', -100, 101),
-                                   ( pd.Timestamp( '2010-01-02 00'), 'c2', 50, 103)
-                                   ],
-                                columns = ['Date', 'Security', 'quantity', 'price'])
-    transactions = transactions.set_index( ['Date','Security'])
-
-    algo = algos.ReplayTransactions( 'transactions' )
-    s.setup(data, bidoffer={}, transactions=transactions) # Pass bidoffer so it will track bidoffer paid
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    s = bt.Strategy("s", children=[c1, c2])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100)
+    c1 = s["c1"]
+    c2 = s["c2"]
+
+    transactions = pd.DataFrame(
+        [
+            (pd.Timestamp("2009-12-01 00"), "c1", 100, 99.5),
+            (pd.Timestamp("2010-01-01 10"), "c1", -100, 101),
+            (pd.Timestamp("2010-01-02 00"), "c2", 50, 103),
+        ],
+        columns=["Date", "Security", "quantity", "price"],
+    )
+    transactions = transactions.set_index(["Date", "Security"])
+
+    algo = algos.ReplayTransactions("transactions")
+    s.setup(
+        data, bidoffer={}, transactions=transactions
+    )  # Pass bidoffer so it will track bidoffer paid
     s.adjust(1000)
     s.update(dts[0])
     algo(s)
@@ -1975,54 +1942,67 @@ def test_replay_transactions():
 
 
 def test_replay_transactions_consistency():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    s = bt.Strategy('s', children = [c1, c2])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100)
-
-    transactions = pd.DataFrame( [ ( pd.Timestamp( '2010-01-01 00'), 'c1', -100., 101.),
-                                   ( pd.Timestamp( '2010-01-02 00'), 'c2', 50., 103.)
-                                   ],
-                                columns = ['Date', 'Security', 'quantity', 'price'])
-    transactions = transactions.set_index( ['Date','Security'])
-
-    algo = algos.ReplayTransactions( 'transactions' )
-    strategy = bt.Strategy('strategy', algos = [ algo ], children = [c1, c2])
-    backtest = bt.backtest.Backtest(strategy, data, name='Test', 
-                    additional_data={'bidoffer':{}, 'transactions':transactions})
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    s = bt.Strategy("s", children=[c1, c2])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100)
+
+    transactions = pd.DataFrame(
+        [
+            (pd.Timestamp("2010-01-01 00"), "c1", -100.0, 101.0),
+            (pd.Timestamp("2010-01-02 00"), "c2", 50.0, 103.0),
+        ],
+        columns=["Date", "Security", "quantity", "price"],
+    )
+    transactions = transactions.set_index(["Date", "Security"])
+
+    algo = algos.ReplayTransactions("transactions")
+    strategy = bt.Strategy("strategy", algos=[algo], children=[c1, c2])
+    backtest = bt.backtest.Backtest(
+        strategy,
+        data,
+        name="Test",
+        additional_data={"bidoffer": {}, "transactions": transactions},
+    )
     out = bt.run(backtest)
     t1 = transactions.sort_index(axis=1)
     t2 = out.get_transactions().sort_index(axis=1)
-    assert t1.equals( t2 )
+    assert t1.equals(t2)
 
 
 def test_simulate_rfq_transactions():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    s = bt.Strategy('s', children = [c1, c2])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100)
-    c1 = s['c1']
-    c2 = s['c2']
-
-    rfqs = pd.DataFrame( [ ( 'A', pd.Timestamp( '2009-12-01 00'), 'c1', 100),
-                            ( 'B', pd.Timestamp( '2010-01-01 10'), 'c1', -100),
-                            ( 'C', pd.Timestamp( '2010-01-01 12'), 'c1', 75),
-                            ( 'D', pd.Timestamp( '2010-01-02 00'), 'c2', 50)
-                            ],
-                        columns = ['id', 'Date', 'Security', 'quantity'])
-    rfqs = rfqs.set_index(['Date','Security'])
-    def model( rfqs, target ):
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    s = bt.Strategy("s", children=[c1, c2])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100)
+    c1 = s["c1"]
+    c2 = s["c2"]
+
+    rfqs = pd.DataFrame(
+        [
+            ("A", pd.Timestamp("2009-12-01 00"), "c1", 100),
+            ("B", pd.Timestamp("2010-01-01 10"), "c1", -100),
+            ("C", pd.Timestamp("2010-01-01 12"), "c1", 75),
+            ("D", pd.Timestamp("2010-01-02 00"), "c2", 50),
+        ],
+        columns=["id", "Date", "Security", "quantity"],
+    )
+    rfqs = rfqs.set_index(["Date", "Security"])
+
+    def model(rfqs, target):
         # Dummy model - in practice this model would rely on positions and values in target
-        transactions = rfqs[ ['quantity']]
-        prices = {'A' : 99.5, 'B' : 101, 'D':103}
-        transactions[ 'price' ] = rfqs.id.apply( lambda x : prices.get(x) )
+        transactions = rfqs[["quantity"]]
+        prices = {"A": 99.5, "B": 101, "D": 103}
+        transactions["price"] = rfqs.id.apply(lambda x: prices.get(x))
         return transactions.dropna()
 
-    algo = algos.SimulateRFQTransactions( 'rfqs', model )
+    algo = algos.SimulateRFQTransactions("rfqs", model)
 
-    s.setup(data, bidoffer={}, rfqs=rfqs) # Pass bidoffer so it will track bidoffer paid
+    s.setup(
+        data, bidoffer={}, rfqs=rfqs
+    )  # Pass bidoffer so it will track bidoffer paid
     s.adjust(1000)
     s.update(dts[0])
     algo(s)
@@ -2039,242 +2019,246 @@ def model( rfqs, target ):
 
 
 def test_update_risk():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    s = bt.Strategy('s', children = [c1, c2])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'].loc[dts[1]] = 105
-    data['c2'].loc[dts[1]] = 95
-    c1 = s['c1']
-    c2 = s['c2']
-
-    algo = algos.UpdateRisk('Test', history=False)
-
-    s.setup(data, unit_risk={'Test':data})
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    s = bt.Strategy("s", children=[c1, c2])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
+    c1 = s["c1"]
+    c2 = s["c2"]
+
+    algo = algos.UpdateRisk("Test", history=False)
+
+    s.setup(data, unit_risk={"Test": data})
     s.adjust(1000)
 
     s.update(dts[0])
-    assert algo( s )
-    assert s.risk['Test'] == 0
-    assert c1.risk['Test'] == 0
-    assert c2.risk['Test'] == 0
-
-    s.transact( 1, 'c1')
-    s.transact( 5, 'c2')
-    assert algo( s )
-    assert s.risk['Test'] == 600
-    assert c1.risk['Test'] == 100
-    assert c2.risk['Test'] == 500
+    assert algo(s)
+    assert s.risk["Test"] == 0
+    assert c1.risk["Test"] == 0
+    assert c2.risk["Test"] == 0
+
+    s.transact(1, "c1")
+    s.transact(5, "c2")
+    assert algo(s)
+    assert s.risk["Test"] == 600
+    assert c1.risk["Test"] == 100
+    assert c2.risk["Test"] == 500
 
     s.update(dts[1])
-    assert algo( s )
-    assert s.risk['Test'] == 105 + 5*95
-    assert c1.risk['Test'] == 105
-    assert c2.risk['Test'] == 5*95
+    assert algo(s)
+    assert s.risk["Test"] == 105 + 5 * 95
+    assert c1.risk["Test"] == 105
+    assert c2.risk["Test"] == 5 * 95
 
-    assert not hasattr( s, 'risks' )
-    assert not hasattr( c1, 'risks' )
-    assert not hasattr( c2, 'risks' )
+    assert not hasattr(s, "risks")
+    assert not hasattr(c1, "risks")
+    assert not hasattr(c2, "risks")
 
 
 def test_update_risk_history_1():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    s = bt.Strategy('s', children = [c1, c2])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'].loc[dts[1]] = 105
-    data['c2'].loc[dts[1]] = 95
-    c1 = s['c1']
-    c2 = s['c2']
-
-    algo = algos.UpdateRisk('Test', history=1)
-
-    s.setup(data, unit_risk={'Test':data})
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    s = bt.Strategy("s", children=[c1, c2])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
+    c1 = s["c1"]
+    c2 = s["c2"]
+
+    algo = algos.UpdateRisk("Test", history=1)
+
+    s.setup(data, unit_risk={"Test": data})
     s.adjust(1000)
 
     s.update(dts[0])
-    assert algo( s )
-    assert s.risks['Test'][0] == 0
+    assert algo(s)
+    assert s.risks["Test"].iloc[0] == 0
 
-    s.transact( 1, 'c1')
-    s.transact( 5, 'c2')
-    assert algo( s )
-    assert s.risks['Test'][0] == 600
+    s.transact(1, "c1")
+    s.transact(5, "c2")
+    assert algo(s)
+    assert s.risks["Test"].iloc[0] == 600
 
     s.update(dts[1])
-    assert algo( s )
-    assert s.risks['Test'][0] == 600        
-    assert s.risks['Test'][1] == 105 + 5*95
+    assert algo(s)
+    assert s.risks["Test"].iloc[0] == 600
+    assert s.risks["Test"].iloc[1] == 105 + 5 * 95
 
-    assert not hasattr( c1, 'risks' )
-    assert not hasattr( c2, 'risks' )
+    assert not hasattr(c1, "risks")
+    assert not hasattr(c2, "risks")
 
 
 def test_update_risk_history_2():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    s = bt.Strategy('s', children = [c1, c2])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'].loc[dts[1]] = 105
-    data['c2'].loc[dts[1]] = 95
-    c1 = s['c1']
-    c2 = s['c2']
-
-    algo = algos.UpdateRisk('Test', history=2)
-
-    s.setup(data, unit_risk={'Test':data})
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    s = bt.Strategy("s", children=[c1, c2])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
+    c1 = s["c1"]
+    c2 = s["c2"]
+
+    algo = algos.UpdateRisk("Test", history=2)
+
+    s.setup(data, unit_risk={"Test": data})
     s.adjust(1000)
 
     s.update(dts[0])
-    assert algo( s )
-    assert s.risks['Test'][0] == 0
-    assert c1.risks['Test'][0] == 0
-    assert c2.risks['Test'][0] == 0
-
-    s.transact( 1, 'c1')
-    s.transact( 5, 'c2')
-    assert algo( s )
-    assert s.risks['Test'][0] == 600
-    assert c1.risks['Test'][0] == 100
-    assert c2.risks['Test'][0] == 500
+    assert algo(s)
+    assert s.risks["Test"].iloc[0] == 0
+    assert c1.risks["Test"].iloc[0] == 0
+    assert c2.risks["Test"].iloc[0] == 0
+
+    s.transact(1, "c1")
+    s.transact(5, "c2")
+    assert algo(s)
+    assert s.risks["Test"].iloc[0] == 600
+    assert c1.risks["Test"].iloc[0] == 100
+    assert c2.risks["Test"].iloc[0] == 500
 
     s.update(dts[1])
-    assert algo( s )
-    assert s.risks['Test'][0] == 600
-    assert c1.risks['Test'][0] == 100
-    assert c2.risks['Test'][0] == 500
-    assert s.risks['Test'][1] == 105 + 5*95
-    assert c1.risks['Test'][1] == 105
-    assert c2.risks['Test'][1] == 5*95
+    assert algo(s)
+    assert s.risks["Test"].iloc[0] == 600
+    assert c1.risks["Test"].iloc[0] == 100
+    assert c2.risks["Test"].iloc[0] == 500
+    assert s.risks["Test"].iloc[1] == 105 + 5 * 95
+    assert c1.risks["Test"].iloc[1] == 105
+    assert c2.risks["Test"].iloc[1] == 5 * 95
 
 
 def test_hedge_risk():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    c3 = bt.Security('c3')
-    s = bt.Strategy('s', children = [c1, c2, c3])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100)
-    c1 = s['c1']
-    c2 = s['c2']
-    c3 = s['c3']
-
-    risk1 = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=0)
-    risk2 = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=0)
-    risk1['c1'] = 1
-    risk1['c2'] = 10
-    risk2['c1'] = 2
-    risk2['c2'] = 5
-    risk2['c3'] = 10
-
-    stack = bt.core.AlgoStack( algos.UpdateRisk('Risk1'),
-                                algos.UpdateRisk('Risk2'),
-                                algos.SelectThese(['c2','c3']),
-                                algos.HedgeRisks( ['Risk1', 'Risk2'] ),
-                                algos.UpdateRisk('Risk1'),
-                                algos.UpdateRisk('Risk2'),
-                                )
-
-    s.setup(data, unit_risk={'Risk1':risk1, 'Risk2':risk2})
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    c3 = bt.Security("c3")
+    s = bt.Strategy("s", children=[c1, c2, c3])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100)
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c3 = s["c3"]
+
+    risk1 = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=0)
+    risk2 = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=0)
+    risk1["c1"] = 1
+    risk1["c2"] = 10
+    risk2["c1"] = 2
+    risk2["c2"] = 5
+    risk2["c3"] = 10
+
+    stack = bt.core.AlgoStack(
+        algos.UpdateRisk("Risk1"),
+        algos.UpdateRisk("Risk2"),
+        algos.SelectThese(["c2", "c3"]),
+        algos.HedgeRisks(["Risk1", "Risk2"]),
+        algos.UpdateRisk("Risk1"),
+        algos.UpdateRisk("Risk2"),
+    )
+
+    s.setup(data, unit_risk={"Risk1": risk1, "Risk2": risk2})
     s.adjust(1000)
 
     s.update(dts[0])
-    s.transact( 100, 'c1')
-    stack( s )
+    s.transact(100, "c1")
+    stack(s)
 
     # Check that risk is hedged!
-    assert s.risk['Risk1'] == 0
-    aae( s.risk['Risk2'], 0, 13)
+    assert s.risk["Risk1"] == 0
+    assert s.risk["Risk2"] == pytest.approx(0, 13)
     # Check that positions are nonzero (trivial solution)
     assert c1.position == 100
     assert c2.position == -10
-    aae( c3.position, -(100*2 - 10*5)/10., 13)
-    
-  
+    assert c3.position == pytest.approx(-(100 * 2 - 10 * 5) / 10.0, 13)
+
+
 def test_hedge_risk_nan():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    c3 = bt.Security('c3')
-    s = bt.Strategy('s', children = [c1, c2, c3])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100)
-    c1 = s['c1']
-    c2 = s['c2']
-    c3 = s['c3']
-
-    risk1 = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=0)
-    risk2 = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=0)
-    risk1['c1'] = 1
-    risk1['c2'] = 10
-    risk2['c1'] = float('nan')
-    risk2['c2'] = 5
-    risk2['c3'] = 10
-
-    stack = bt.core.AlgoStack( algos.UpdateRisk('Risk1'),
-                                algos.UpdateRisk('Risk2'),
-                                algos.SelectThese(['c2','c3']),
-                                algos.HedgeRisks( ['Risk1', 'Risk2'], throw_nan=False ),
-                                )
-    stack_throw = bt.core.AlgoStack( algos.UpdateRisk('Risk1'),
-                                algos.UpdateRisk('Risk2'),
-                                algos.SelectThese(['c2','c3']),
-                                algos.HedgeRisks( ['Risk1', 'Risk2'] ),
-                                )
-
-    s.setup(data, unit_risk={'Risk1':risk1, 'Risk2':risk2})
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    c3 = bt.Security("c3")
+    s = bt.Strategy("s", children=[c1, c2, c3])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100)
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c3 = s["c3"]
+
+    risk1 = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=0)
+    risk2 = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=0)
+    risk1["c1"] = 1
+    risk1["c2"] = 10
+    risk2["c1"] = float("nan")
+    risk2["c2"] = 5
+    risk2["c3"] = 10
+
+    stack = bt.core.AlgoStack(
+        algos.UpdateRisk("Risk1"),
+        algos.UpdateRisk("Risk2"),
+        algos.SelectThese(["c2", "c3"]),
+        algos.HedgeRisks(["Risk1", "Risk2"], throw_nan=False),
+    )
+    stack_throw = bt.core.AlgoStack(
+        algos.UpdateRisk("Risk1"),
+        algos.UpdateRisk("Risk2"),
+        algos.SelectThese(["c2", "c3"]),
+        algos.HedgeRisks(["Risk1", "Risk2"]),
+    )
+
+    s.setup(data, unit_risk={"Risk1": risk1, "Risk2": risk2})
     s.adjust(1000)
 
     s.update(dts[0])
-    s.transact( 100, 'c1')
-    assert stack( s )
-    
+    s.transact(100, "c1")
+    assert stack(s)
+
     did_throw = False
     try:
-        stack_throw( s )
+        stack_throw(s)
     except ValueError:
         did_throw = True
     assert did_throw
 
 
 def test_hedge_risk_pseudo_under():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    c3 = bt.Security('c3')
-    s = bt.Strategy('s', children = [c1, c2, c3])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100)
-    c1 = s['c1']
-    c2 = s['c2']
-    c3 = s['c3']
-
-    risk1 = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=0)
-    risk2 = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=0)
-    risk1['c1'] = 1
-    risk1['c2'] = 10
-    risk2['c1'] = 2
-    risk2['c3'] = 10
-
-    stack = bt.core.AlgoStack( algos.UpdateRisk('Risk1'),
-                                algos.UpdateRisk('Risk2'),
-                                algos.SelectThese(['c2']),
-                                algos.HedgeRisks( ['Risk1', 'Risk2'], pseudo=True ),
-                                algos.UpdateRisk('Risk1'),
-                                algos.UpdateRisk('Risk2'),
-                                )
-
-    s.setup(data, unit_risk={'Risk1':risk1, 'Risk2':risk2})
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    c3 = bt.Security("c3")
+    s = bt.Strategy("s", children=[c1, c2, c3])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100)
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c3 = s["c3"]
+
+    risk1 = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=0)
+    risk2 = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=0)
+    risk1["c1"] = 1
+    risk1["c2"] = 10
+    risk2["c1"] = 2
+    risk2["c3"] = 10
+
+    stack = bt.core.AlgoStack(
+        algos.UpdateRisk("Risk1"),
+        algos.UpdateRisk("Risk2"),
+        algos.SelectThese(["c2"]),
+        algos.HedgeRisks(["Risk1", "Risk2"], pseudo=True),
+        algos.UpdateRisk("Risk1"),
+        algos.UpdateRisk("Risk2"),
+    )
+
+    s.setup(data, unit_risk={"Risk1": risk1, "Risk2": risk2})
     s.adjust(1000)
 
     s.update(dts[0])
-    s.transact( 100, 'c1')
-    stack( s )
+    s.transact(100, "c1")
+    stack(s)
 
     # Check that risk is hedged!
-    assert s.risk['Risk1'] == 0
-    assert s.risk['Risk2'] != 0
+    assert s.risk["Risk1"] == 0
+    assert s.risk["Risk2"] != 0
     # Check that positions are nonzero (trivial solution)
     assert c1.position == 100
     assert c2.position == -10
@@ -2282,39 +2266,68 @@ def test_hedge_risk_pseudo_under():
 
 
 def test_hedge_risk_pseudo_over():
-    c1 = bt.Security('c1')
-    c2 = bt.Security('c2')
-    c3 = bt.Security('c3')
-    s = bt.Strategy('s', children = [c1, c2, c3])
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100)
-    c1 = s['c1']
-    c2 = s['c2']
-    c2 = s['c2']
-    c3 = s['c3']
-
-    risk1 = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=0)
-    risk1['c1'] = 1
-    risk1['c2'] = 10
-    risk1['c3'] = 10 # Same risk as c2
-
-    stack = bt.core.AlgoStack( algos.UpdateRisk('Risk1'),
-                                algos.SelectThese(['c2','c3']),
-                                algos.HedgeRisks( ['Risk1'], pseudo=True ),
-                                algos.UpdateRisk('Risk1'),
-
-                                )
-
-    s.setup(data, unit_risk={'Risk1':risk1})
+    c1 = bt.Security("c1")
+    c2 = bt.Security("c2")
+    c3 = bt.Security("c3")
+    s = bt.Strategy("s", children=[c1, c2, c3])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100)
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c2 = s["c2"]
+    c3 = s["c3"]
+
+    risk1 = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=0)
+    risk1["c1"] = 1
+    risk1["c2"] = 10
+    risk1["c3"] = 10  # Same risk as c2
+
+    stack = bt.core.AlgoStack(
+        algos.UpdateRisk("Risk1"),
+        algos.SelectThese(["c2", "c3"]),
+        algos.HedgeRisks(["Risk1"], pseudo=True),
+        algos.UpdateRisk("Risk1"),
+    )
+
+    s.setup(data, unit_risk={"Risk1": risk1})
     s.adjust(1000)
 
     s.update(dts[0])
-    s.transact( 100, 'c1')
-    stack( s )
+    s.transact(100, "c1")
+    stack(s)
 
     # Check that risk is hedged!
-    assert s.risk['Risk1'] == 0
+    assert s.risk["Risk1"] == 0
     # Check that positions are nonzero and risk is evenly split between hedge instruments
     assert c1.position == 100
     assert c2.position == -5
     assert c3.position == -5
+
+
+def test_margin():
+    algo = algos.Margin(0.1, 0.66666666667)
+
+    s = bt.Strategy("s", algos=[algos.WeighSpecified(c1=2), algos.Rebalance()])
+
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1"], data=1)
+
+    yesterday = dts[0] - timedelta(days=1)
+    algo._last_date = yesterday
+
+    s.setup(data)
+    s.update(dts[0])
+    s.adjust(1000)
+    s.run()
+
+    algo(s)
+
+    # checked that we charged some margin interest
+    fees = np.sum(s.fees)
+    assert pytest.approx(0.26, 0.01) == fees
+
+    # check that we've liquidated things to get us back to the maintenance requirement
+    assert pytest.approx(1499, 0.001) == sum(child.value for child in s.children.values())
+
+    assert pytest.approx(999.73, 0.001) == s.value
+
diff --git a/tests/test_backtest.py b/tests/test_backtest.py
index c2f90a6c..86178b76 100644
--- a/tests/test_backtest.py
+++ b/tests/test_backtest.py
@@ -1,20 +1,20 @@
 from __future__ import division
-import bt
-import pandas as pd
+
 import numpy as np
-from nose.tools import assert_almost_equal as aae
+import pandas as pd
+import pytest
 import random
-import sys
-if sys.version_info < (3, 3):
-    import mock
-else:
-    from unittest import mock
+
+from unittest import mock
+
+import bt
 
 
 def test_backtest_copies_strategy():
     s = mock.MagicMock()
-    data = pd.DataFrame(index=pd.date_range('2010-01-01', periods=5),
-                        columns=['a', 'b'], data=100)
+    data = pd.DataFrame(
+        index=pd.date_range("2010-01-01", periods=5), columns=["a", "b"], data=100
+    )
 
     actual = bt.Backtest(s, data, progress_bar=False)
 
@@ -23,8 +23,9 @@ def test_backtest_copies_strategy():
 
 def test_backtest_dates_set():
     s = mock.MagicMock()
-    data = pd.DataFrame(index=pd.date_range('2010-01-01', periods=5),
-                        columns=['a', 'b'], data=100)
+    data = pd.DataFrame(
+        index=pd.date_range("2010-01-01", periods=5), columns=["a", "b"], data=100
+    )
 
     actual = bt.Backtest(s, data, progress_bar=False)
 
@@ -36,19 +37,21 @@ def test_backtest_dates_set():
 
 def test_backtest_auto_name():
     s = mock.MagicMock()
-    s.name = 's'
-    data = pd.DataFrame(index=pd.date_range('2010-01-01', periods=5),
-                        columns=['a', 'b'], data=100)
+    s.name = "s"
+    data = pd.DataFrame(
+        index=pd.date_range("2010-01-01", periods=5), columns=["a", "b"], data=100
+    )
 
     actual = bt.Backtest(s, data, progress_bar=False)
 
-    assert actual.name == 's'
+    assert actual.name == "s"
 
 
 def test_initial_capital_set():
     s = mock.MagicMock()
-    data = pd.DataFrame(index=pd.date_range('2010-01-01', periods=5),
-                        columns=['a', 'b'], data=100)
+    data = pd.DataFrame(
+        index=pd.date_range("2010-01-01", periods=5), columns=["a", "b"], data=100
+    )
 
     actual = bt.Backtest(s, data, initial_capital=302, progress_bar=False)
     actual.run()
@@ -62,8 +65,9 @@ def test_run_loop():
     s = mock.MagicMock()
     # run loop checks on this
     s.bankrupt = False
-    data = pd.DataFrame(index=pd.date_range('2010-01-01', periods=5),
-                        columns=['a', 'b'], data=100)
+    data = pd.DataFrame(
+        index=pd.date_range("2010-01-01", periods=5), columns=["a", "b"], data=100
+    )
 
     actual = bt.Backtest(s, data, initial_capital=302, progress_bar=False)
     actual.run()
@@ -76,45 +80,71 @@ def test_run_loop():
 
 
 def test_turnover():
-    dts = pd.date_range('2010-01-01', periods=5)
-    data = pd.DataFrame(index=dts, columns=['a', 'b'], data=100)
+    dts = pd.date_range("2010-01-01", periods=5)
+    data = pd.DataFrame(index=dts, columns=["a", "b"], data=100)
 
-    data['a'][dts[1]] = 105
-    data['b'][dts[1]] = 95
+    data.loc[dts[1], "a"] = 105
+    data.loc[dts[1], "b"] = 95
 
-    data['a'][dts[2]] = 110
-    data['b'][dts[2]] = 90
+    data.loc[dts[2], "a"] = 110
+    data.loc[dts[2], "b"] = 90
 
-    data['a'][dts[3]] = 115
-    data['b'][dts[3]] = 85
+    data.loc[dts[3], "a"] = 115
+    data.loc[dts[3], "b"] = 85
 
-    s = bt.Strategy('s', [bt.algos.SelectAll(),
-                          bt.algos.WeighEqually(),
-                          bt.algos.Rebalance()])
+    s = bt.Strategy(
+        "s", [bt.algos.SelectAll(), bt.algos.WeighEqually(), bt.algos.Rebalance()]
+    )
 
     t = bt.Backtest(s, data, commissions=lambda x, y: 0, progress_bar=False)
     res = bt.run(t)
 
-    t = res.backtests['s']
+    t = res.backtests["s"]
 
     # these numbers were (tediously) calculated in excel
-    assert np.allclose(t.turnover[dts[0]], 0. / 1000000)
-    assert np.allclose(t.turnover[dts[1]], 24985. / 1000000)
-    assert np.allclose(t.turnover[dts[2]], 24970. / 997490)
-    assert np.allclose(t.turnover[dts[3]], 25160. / 992455)
-    assert np.allclose(t.turnover[dts[4]], 76100. / 1015285)
+    assert np.allclose(t.turnover[dts[0]], 0.0 / 1000000)
+    assert np.allclose(t.turnover[dts[1]], 24985.0 / 1000000)
+    assert np.allclose(t.turnover[dts[2]], 24970.0 / 997490)
+    assert np.allclose(t.turnover[dts[3]], 25160.0 / 992455)
+    assert np.allclose(t.turnover[dts[4]], 76100.0 / 1015285)
+
+
+def test_can_disable_progress_bar_from_run():
+    from contextlib import redirect_stderr
+    from io import StringIO
+
+    # Create an in-memory buffer
+    output_capture = StringIO()
+
+    data = pd.DataFrame(
+        index=pd.date_range("2010-01-01", periods=5), columns=["a", "b"], data=100
+    )
+    s = bt.Strategy("test", [
+        bt.algos.SelectAll(),
+        bt.algos.WeighEqually(),
+        bt.algos.Rebalance()
+    ])
+
+    b = bt.Backtest(s, data)
+
+    # Redirect stderr to the buffer
+    with redirect_stderr(output_capture):
+        result = bt.run(b, progress_bar=False)
+
+    # confirm that the output is empty
+    assert output_capture.getvalue() is ""
+    # confirm that we actually ran something
+    assert  len(result.get_transactions()) > 0
 
 
 def test_Results_helper_functions():
 
-    names = ['foo', 'bar']
-    dates = pd.date_range(start='2017-01-01', end='2017-12-31', freq=pd.tseries.offsets.BDay())
-    n = len(dates)
-    rdf = pd.DataFrame(
-        np.zeros((n, len(names))),
-        index=dates,
-        columns=names
+    names = ["foo", "bar"]
+    dates = pd.date_range(
+        start="2017-01-01", end="2017-12-31", freq=pd.tseries.offsets.BDay()
     )
+    n = len(dates)
+    rdf = pd.DataFrame(np.zeros((n, len(names))), index=dates, columns=names)
 
     np.random.seed(1)
     rdf[names[0]] = np.random.normal(loc=0.1 / n, scale=0.2 / np.sqrt(n), size=n)
@@ -123,9 +153,7 @@ def test_Results_helper_functions():
     pdf = 100 * np.cumprod(1 + rdf)
 
     # algo to fire on the beginning of every month and to run on the first date
-    runDailyAlgo = bt.algos.RunDaily(
-        run_on_first_date=True
-    )
+    runDailyAlgo = bt.algos.RunDaily(run_on_first_date=True)
 
     # algo to set the weights
     #  it will only run when runMonthlyAlgo returns true
@@ -139,63 +167,48 @@ def test_Results_helper_functions():
     rebalAlgo = bt.algos.Rebalance()
 
     # a strategy that rebalances monthly to specified weights
-    strat = bt.Strategy('static',
-        [
-            runDailyAlgo,
-            weighSpecifiedAlgo,
-            rebalAlgo
-        ]
-    )
+    strat = bt.Strategy("static", [runDailyAlgo, weighSpecifiedAlgo, rebalAlgo])
 
-    backtest = bt.Backtest(
-        strat,
-        pdf,
-        integer_positions=False,
-        progress_bar=False
-    )
+    backtest = bt.Backtest(strat, pdf, integer_positions=False, progress_bar=False)
 
     res = bt.run(backtest)
 
-    assert(type(res.get_security_weights()) is pd.DataFrame)
+    assert type(res.get_security_weights()) is pd.DataFrame
 
-    assert (type(res.get_transactions()) is pd.DataFrame)
+    assert type(res.get_transactions()) is pd.DataFrame
 
-    assert (type(res.get_weights()) is pd.DataFrame)
+    assert type(res.get_weights()) is pd.DataFrame
 
 
 def test_Results_helper_functions_fi():
 
-    names = ['foo', 'bar']
-    dates = pd.date_range(start='2017-01-01', end='2017-12-31', freq=pd.tseries.offsets.BDay())
-    n = len(dates)
-    rdf = pd.DataFrame(
-        np.zeros((n, len(names))),
-        index=dates,
-        columns=names
+    names = ["foo", "bar"]
+    dates = pd.date_range(
+        start="2017-01-01", end="2017-12-31", freq=pd.tseries.offsets.BDay()
     )
+    n = len(dates)
+    rdf = pd.DataFrame(np.zeros((n, len(names))), index=dates, columns=names)
 
     np.random.seed(1)
     rdf[names[0]] = np.random.normal(loc=0.1 / n, scale=0.2 / np.sqrt(n), size=n)
     rdf[names[1]] = np.random.normal(loc=0.04 / n, scale=0.05 / np.sqrt(n), size=n)
 
     pdf = 100 * np.cumprod(1 + rdf)
-    notional = pd.Series( 1e6, index = pdf.index )
-    
+    notional = pd.Series(1e6, index=pdf.index)
+
     # algo to fire on the beginning of every month and to run on the first date
-    runDailyAlgo = bt.algos.RunDaily(
-        run_on_first_date=True
-    )
+    runDailyAlgo = bt.algos.RunDaily(run_on_first_date=True)
 
     # algo to select all securities
     selectAll = bt.algos.SelectAll()
 
     # algo to set the weights
     #  it will only run when runMonthlyAlgo returns true
-    #  which only happens on the first of every month        
+    #  which only happens on the first of every month
     weighRandomly = bt.algos.WeighRandomly()
 
     # algo to set the notional of the fixed income strategy
-    setNotional = bt.algos.SetNotional( 'notional' )
+    setNotional = bt.algos.SetNotional("notional")
 
     # algo to rebalance the current weights to weights set by weighSpecified
     #  will only run when weighSpecifiedAlgo returns true
@@ -203,65 +216,59 @@ def test_Results_helper_functions_fi():
     rebalAlgo = bt.algos.Rebalance()
 
     # a strategy that rebalances monthly to specified weights
-    strat = bt.FixedIncomeStrategy('random',
-        [
-            runDailyAlgo,
-            selectAll,
-            weighRandomly,
-            setNotional,
-            rebalAlgo
-        ]
+    strat = bt.FixedIncomeStrategy(
+        "random", [runDailyAlgo, selectAll, weighRandomly, setNotional, rebalAlgo]
     )
 
     backtest = bt.Backtest(
         strat,
         pdf,
-        initial_capital = 0,
+        initial_capital=0,
         integer_positions=False,
         progress_bar=False,
-        additional_data = {'mydata':pdf, 'notional':notional}
+        additional_data={"mydata": pdf, "notional": notional},
     )
-    bidoffer = 1.
+    bidoffer = 1.0
     backtest2 = bt.Backtest(
         strat,
         pdf,
-        initial_capital = 0,
+        initial_capital=0,
         integer_positions=False,
         progress_bar=False,
-        additional_data = {'mydata':pdf, 
-                           'notional':notional,
-                           'bidoffer': pd.DataFrame( bidoffer, pdf.index, pdf.columns )}
+        additional_data={
+            "mydata": pdf,
+            "notional": notional,
+            "bidoffer": pd.DataFrame(bidoffer, pdf.index, pdf.columns),
+        },
     )
     random.seed(1234)
     res = bt.run(backtest)
     random.seed(1234)
     res2 = bt.run(backtest2)
 
-    assert(type(res.get_security_weights()) is pd.DataFrame)
+    assert type(res.get_security_weights()) is pd.DataFrame
 
-    assert (type(res.get_transactions()) is pd.DataFrame)
+    assert type(res.get_transactions()) is pd.DataFrame
     assert len(res.get_transactions()) > 0
 
-    assert (type(res.get_weights()) is pd.DataFrame)
+    assert type(res.get_weights()) is pd.DataFrame
 
     # Make sure the insertion of the first row applies to additional data as well
-    assert backtest.data.index.equals( backtest.additional_data['mydata'].index )
+    assert backtest.data.index.equals(backtest.additional_data["mydata"].index)
 
     # Check that bid/offer is accounted for
-    transactions = res.get_transactions()        
-    transactions['price'] = transactions['price'] + 0.5 * bidoffer
-    assert (res2.get_transactions().price - res2.get_transactions().price).abs().sum() == 0
-        
-        
+    transactions = res.get_transactions()
+    transactions["price"] = transactions["price"] + 0.5 * bidoffer
+    assert (
+        res2.get_transactions().price - res2.get_transactions().price
+    ).abs().sum() == 0
+
+
 def test_30_min_data():
-    names = ['foo']
-    dates = pd.date_range(start='2017-01-01', end='2017-12-31', freq='30min')
+    names = ["foo"]
+    dates = pd.date_range(start="2017-01-01", end="2017-12-31", freq="30min")
     n = len(dates)
-    rdf = pd.DataFrame(
-        np.zeros((n, len(names))),
-        index=dates,
-        columns=names
-    )
+    rdf = pd.DataFrame(np.zeros((n, len(names))), index=dates, columns=names)
 
     np.random.seed(1)
     rdf[names[0]] = np.random.normal(loc=0.1 / n, scale=0.2 / np.sqrt(n), size=n)
@@ -276,67 +283,100 @@ def test_30_min_data():
     tw[sma50 <= sma200] = -1.0
     tw[sma200.isnull()] = 0.0
 
-    ma_cross = bt.Strategy('ma_cross', [bt.algos.WeighTarget(tw), bt.algos.Rebalance()])
-    t = bt.Backtest(ma_cross, pdf,progress_bar=False)
+    ma_cross = bt.Strategy("ma_cross", [bt.algos.WeighTarget(tw), bt.algos.Rebalance()])
+    t = bt.Backtest(ma_cross, pdf, progress_bar=False)
     res = bt.run(t)
 
-    wait=1
+    wait = 1
 
 
 def test_RenomalizedFixedIncomeResult():
-    dts = pd.date_range('2010-01-01', periods=5)
-    data = pd.DataFrame(index=dts, columns=['a'], data=1.)    
-    data['a'][dts[0]] = 0.99
-    data['a'][dts[1]] = 1.01
-    data['a'][dts[2]] = 0.99
-    data['a'][dts[3]] = 1.01
-    data['a'][dts[4]] = 0.99
-    
-    weights = pd.DataFrame(index=dts, columns=['a'], data=1.)
-    weights['a'][dts[0]] = 1.
-    weights['a'][dts[1]] = 2.
-    weights['a'][dts[2]] = 1.
-    weights['a'][dts[3]] = 2.
-    weights['a'][dts[4]] = 1.
-    
-    coupons = pd.DataFrame(index=dts, columns=['a'], data=0.)
-    
-    algos = [ bt.algos.SelectAll(),
-              bt.algos.WeighTarget( weights ),
-              bt.algos.SetNotional( 'notional' ),
-              bt.algos.Rebalance()]
-    children = [ bt.CouponPayingSecurity('a') ]
-    
-    s = bt.FixedIncomeStrategy('s', algos, children = children )
-
-    t = bt.Backtest(s, data, initial_capital=0, 
-                    additional_data = {'notional': pd.Series( 1e6, dts),
-                                       'coupons': coupons},
-                    progress_bar=False)
+    dts = pd.date_range("2010-01-01", periods=5)
+    data = pd.DataFrame(index=dts, columns=["a"], data=1.0)
+    data.loc[dts[0], "a"] = 0.99
+    data.loc[dts[1], "a"] = 1.01
+    data.loc[dts[2], "a"] = 0.99
+    data.loc[dts[3], "a"] = 1.01
+    data.loc[dts[4], "a"] = 0.99
+
+    weights = pd.DataFrame(index=dts, columns=["a"], data=1.0)
+    weights.loc[dts[0], "a"] = 1.0
+    weights.loc[dts[1], "a"] = 2.0
+    weights.loc[dts[2], "a"] = 1.0
+    weights.loc[dts[3], "a"] = 2.0
+    weights.loc[dts[4], "a"] = 1.0
+
+    coupons = pd.DataFrame(index=dts, columns=["a"], data=0.0)
+
+    algos = [
+        bt.algos.SelectAll(),
+        bt.algos.WeighTarget(weights),
+        bt.algos.SetNotional("notional"),
+        bt.algos.Rebalance(),
+    ]
+    children = [bt.CouponPayingSecurity("a")]
+
+    s = bt.FixedIncomeStrategy("s", algos, children=children)
+
+    t = bt.Backtest(
+        s,
+        data,
+        initial_capital=0,
+        additional_data={"notional": pd.Series(1e6, dts), "coupons": coupons},
+        progress_bar=False,
+    )
     res = bt.run(t)
 
-    t = res.backtests['s']
-    
+    t = res.backtests["s"]
+
     # Due to the relationship between the time varying notional and the prices,
     # the strategy has lost money, but price == 100, so "total return" is zero
-    assert t.strategy.value < 0.
-    assert t.strategy.price == 100.
-    assert res.stats['s'].total_return == 0
-    
+    assert t.strategy.value < 0.0
+    assert t.strategy.price == pytest.approx(100.0)
+    assert res.stats["s"].total_return == 0
+
     # Renormalizing results to a constant size "fixes" this
-    norm_res = bt.backtest.RenormalizedFixedIncomeResult( 1e6, *res.backtest_list )    
-    aae( norm_res.stats['s'].total_return, t.strategy.value / 1e6, 16 )
-    
+    norm_res = bt.backtest.RenormalizedFixedIncomeResult(1e6, *res.backtest_list)
+    assert norm_res.stats["s"].total_return == pytest.approx(t.strategy.value / 1e6, 16)
+
     # Check that using the lagged notional value series leads to the same results
     # as the original calculation. This proves that we can re-derive the price
     # series from the other data available on the strategy
     notl_values = t.strategy.notional_values.shift(1)
-    notl_values[dts[0]] = 1e6 # The notional value *before* any trades are put on
-    norm_res = bt.backtest.RenormalizedFixedIncomeResult( 
-                                notl_values, 
-                                *res.backtest_list )
-
-    assert norm_res.stats['s'].total_return == res.stats['s'].total_return   
-    assert norm_res.prices.equals( res.prices )    
-    
-    
+    notl_values[dts[0]] = 1e6  # The notional value *before* any trades are put on
+    norm_res = bt.backtest.RenormalizedFixedIncomeResult(
+        notl_values, *res.backtest_list
+    )
+
+    assert norm_res.stats["s"].total_return == res.stats["s"].total_return
+    assert norm_res.prices.equals(res.prices)
+
+def test_additional_data_boolean_dtype_no_warning():
+    """Test that boolean dtype in additional_data doesn't raise FutureWarning."""
+    import warnings
+
+    dts = pd.date_range("2010-01-01", periods=5)
+    data = pd.DataFrame(index=dts, columns=["a", "b"], data=100.0)
+
+    # Create additional data with boolean dtype
+    signal = pd.DataFrame(
+        index=dts,
+        columns=["signal"],
+        data=[True, False, True, False, True]
+    )
+
+    s = bt.Strategy(
+        "test", [bt.algos.SelectAll(), bt.algos.WeighEqually(), bt.algos.Rebalance()]
+    )
+
+    # Capture warnings
+    with warnings.catch_warnings(record=True) as w:
+        warnings.simplefilter("always")
+        t = bt.Backtest(s, data, additional_data={"signal": signal}, progress_bar=False)
+        t.run()
+
+        # Check no FutureWarning about bool-dtype concatenation
+        future_warnings = [warning for warning in w
+                          if issubclass(warning.category, FutureWarning)
+                          and "bool-dtype" in str(warning.message).lower()]
+        assert len(future_warnings) == 0
diff --git a/tests/test_core.py b/tests/test_core.py
index 8b33c037..2310a12d 100644
--- a/tests/test_core.py
+++ b/tests/test_core.py
@@ -1,195 +1,192 @@
 from __future__ import division
 
 import copy
+import numpy as np
+import pandas as pd
+import pytest
+
+from unittest import mock
 
 import bt
 from bt.core import Node, StrategyBase, SecurityBase, AlgoStack, Strategy
 from bt.core import FixedIncomeStrategy, HedgeSecurity, FixedIncomeSecurity
 from bt.core import CouponPayingSecurity, CouponPayingHedgeSecurity
 from bt.core import is_zero
-import pandas as pd
-import numpy as np
-from nose.tools import assert_almost_equal as aae
-import sys
-if sys.version_info < (3, 3):
-    import mock
-else:
-    from unittest import mock
 
 
 def test_node_tree1():
     # Create a regular strategy
-    c1 = Node('c1')
-    c2 = Node('c2')
-    p = Node('p', children=[c1, c2, 'c3', 'c4'])
-
-    assert 'c1' in p.children
-    assert 'c2' in p.children
-    assert p['c1'] != c1
-    assert p['c1'] != c2
-    c1 = p['c1']
-    c2 = p['c2']
-
-    assert len(p.children) == 2    
+    c1 = Node("c1")
+    c2 = Node("c2")
+    p = Node("p", children=[c1, c2, "c3", "c4"])
+
+    assert "c1" in p.children
+    assert "c2" in p.children
+    assert p["c1"] != c1
+    assert p["c1"] != c2
+    c1 = p["c1"]
+    c2 = p["c2"]
+
+    assert len(p.children) == 2
     assert p == c1.parent
     assert p == c2.parent
     assert p == c1.root
     assert p == c2.root
 
     # Create a new parent strategy with a child sub-strategy
-    m = Node('m', children=[p, c1])
-    p = m['p']
-    mc1 = m['c1']
-    c1 = p['c1']
-    c2 = p['c2']
+    m = Node("m", children=[p, c1])
+    p = m["p"]
+    mc1 = m["c1"]
+    c1 = p["c1"]
+    c2 = p["c2"]
 
     assert len(m.children) == 2
-    assert 'p' in m.children
-    assert 'c1' in m.children
+    assert "p" in m.children
+    assert "c1" in m.children
     assert mc1 != c1
-    
-    assert p.parent == m    
+
+    assert p.parent == m
     assert len(p.children) == 2
-    assert 'c1' in p.children
-    assert 'c2' in p.children
+    assert "c1" in p.children
+    assert "c2" in p.children
     assert p == c1.parent
     assert p == c2.parent
     assert m == p.root
     assert m == c1.root
     assert m == c2.root
-    
+
     # Add a new node into the strategy
-    c0 = Node('c0', parent=p)    
-    c0 = p['c0']    
-    assert 'c0' in p.children    
+    c0 = Node("c0", parent=p)
+    c0 = p["c0"]
+    assert "c0" in p.children
     assert p == c0.parent
     assert m == c0.root
     assert len(p.children) == 3
-    
+
     # Add a new sub-strategy into the parent strategy
-    p2 = Node( 'p2', children = [c0, c1], parent=m )
-    p2 = m['p2']
-    c0 = p2['c0']
-    c1 = p2['c1']
-    assert 'p2' in m.children
+    p2 = Node("p2", children=[c0, c1], parent=m)
+    p2 = m["p2"]
+    c0 = p2["c0"]
+    c1 = p2["c1"]
+    assert "p2" in m.children
     assert p2.parent == m
     assert len(p2.children) == 2
-    assert 'c0' in p2.children
-    assert 'c1' in p2.children
-    assert c0 != p['c0']
-    assert c1 != p['c1']
+    assert "c0" in p2.children
+    assert "c1" in p2.children
+    assert c0 != p["c0"]
+    assert c1 != p["c1"]
     assert p2 == c0.parent
     assert p2 == c1.parent
     assert m == p2.root
     assert m == c0.root
-    assert m == c1.root   
+    assert m == c1.root
 
 
 def test_node_tree2():
     # Just like test_node_tree1, but using the dictionary constructor
-    c = Node('template')   
-    p = Node('p', children={'c1':c, 'c2':c, 'c3':'', 'c4':''})
-    assert 'c1' in p.children
-    assert 'c2' in p.children
-    assert p['c1'] != c
-    assert p['c1'] != c
-    c1 = p['c1']
-    c2 = p['c2']
-
-    assert len(p.children) == 2    
-    assert c1.name == 'c1'
-    assert c2.name == 'c2'
+    c = Node("template")
+    p = Node("p", children={"c1": c, "c2": c, "c3": "", "c4": ""})
+    assert "c1" in p.children
+    assert "c2" in p.children
+    assert p["c1"] != c
+    assert p["c1"] != c
+    c1 = p["c1"]
+    c2 = p["c2"]
+
+    assert len(p.children) == 2
+    assert c1.name == "c1"
+    assert c2.name == "c2"
     assert p == c1.parent
     assert p == c2.parent
     assert p == c1.root
     assert p == c2.root
-    
+
 
 def test_node_tree3():
-    c1 = Node('c1')
-    c2 = Node('c1') # Same name!
+    c1 = Node("c1")
+    c2 = Node("c1")  # Same name!
     raised = False
     try:
-        p = Node('p', children=[c1, c2, 'c3', 'c4'])
+        p = Node("p", children=[c1, c2, "c3", "c4"])
     except ValueError:
         raised = True
     assert raised
-    
+
     raised = False
     try:
-        p = Node('p', children=['c1', 'c1'])
+        p = Node("p", children=["c1", "c1"])
     except ValueError:
         raised = True
     assert raised
-    
-    c1 = Node('c1')
-    c2 = Node('c2')
-    p = Node('p', children=[c1, c2, 'c3', 'c4'])
+
+    c1 = Node("c1")
+    c2 = Node("c2")
+    p = Node("p", children=[c1, c2, "c3", "c4"])
     raised = False
     try:
-        Node('c1', parent = p )
+        Node("c1", parent=p)
     except ValueError:
         raised = True
     assert raised
-    
+
     # This does not raise, as it's just providing an implementation of 'c3',
     # which had been declared earlier
-    c3 = Node('c3', parent = p )
-    assert 'c3' in p.children
-    
-    
+    c3 = Node("c3", parent=p)
+    assert "c3" in p.children
+
+
 def test_integer_positions():
-    c1 = Node('c1')
-    c2 = Node('c2')
+    c1 = Node("c1")
+    c2 = Node("c2")
     c1.integer_positions = False
-    p = Node('p', children=[c1, c2])
-    c1 = p['c1']
-    c2 = p['c2']
+    p = Node("p", children=[c1, c2])
+    c1 = p["c1"]
+    c2 = p["c2"]
     assert p.integer_positions
     assert c1.integer_positions
     assert c2.integer_positions
-    
+
     p.use_integer_positions(False)
     assert not p.integer_positions
     assert not c1.integer_positions
     assert not c2.integer_positions
-    
-    c3 = Node('c3', parent=p)
-    c3 = p['c3']
+
+    c3 = Node("c3", parent=p)
+    c3 = p["c3"]
     assert not c3.integer_positions
-    
-    p2 = Node( 'p2', children = [p] )
-    p = p2['p']
-    c1 = p['c1']
-    c2 = p['c2']
+
+    p2 = Node("p2", children=[p])
+    p = p2["p"]
+    c1 = p["c1"]
+    c2 = p["c2"]
     assert p2.integer_positions
     assert p.integer_positions
     assert c1.integer_positions
-    assert c2.integer_positions    
-    
+    assert c2.integer_positions
+
 
 def test_strategybase_tree():
-    s1 = SecurityBase('s1')
-    s2 = SecurityBase('s2')
-    s = StrategyBase('p', [s1, s2])
+    s1 = SecurityBase("s1")
+    s2 = SecurityBase("s2")
+    s = StrategyBase("p", [s1, s2])
 
-    s1 = s['s1']
-    s2 = s['s2']
+    s1 = s["s1"]
+    s2 = s["s2"]
 
     assert len(s.children) == 2
-    assert 's1' in s.children
-    assert 's2' in s.children
+    assert "s1" in s.children
+    assert "s2" in s.children
     assert s == s1.parent
     assert s == s2.parent
 
 
 def test_node_members():
-    s1 = SecurityBase('s1')
-    s2 = SecurityBase('s2')
-    s = StrategyBase('p', [s1, s2])
+    s1 = SecurityBase("s1")
+    s2 = SecurityBase("s2")
+    s = StrategyBase("p", [s1, s2])
 
-    s1 = s['s1']
-    s2 = s['s2']
+    s1 = s["s1"]
+    s2 = s["s2"]
 
     actual = s.members
     assert len(actual) == 3
@@ -207,29 +204,29 @@ def test_node_members():
 
 
 def test_node_full_name():
-    s1 = SecurityBase('s1')
-    s2 = SecurityBase('s2')
-    s = StrategyBase('p', [s1, s2])
+    s1 = SecurityBase("s1")
+    s2 = SecurityBase("s2")
+    s = StrategyBase("p", [s1, s2])
 
     # we cannot access s1 and s2 directly since they are copied
     # we must therefore access through s
-    assert s.full_name == 'p'
-    assert s['s1'].full_name == 'p>s1'
-    assert s['s2'].full_name == 'p>s2'
+    assert s.full_name == "p"
+    assert s["s1"].full_name == "p>s1"
+    assert s["s2"].full_name == "p>s2"
 
 
 def test_security_setup_prices():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 105
-    data['c2'][dts[0]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 105
+    data.loc[dts[0], "c2"] = 95
 
     s.setup(data)
 
@@ -238,23 +235,23 @@ def test_security_setup_prices():
 
     assert c1.price == 105
     assert len(c1.prices) == 1
-    assert c1.prices[0] == 105
+    assert c1.prices.iloc[0] == 105
 
     assert c2.price == 95
     assert len(c2.prices) == 1
-    assert c2.prices[0] == 95
+    assert c2.prices.iloc[0] == 95
 
     # now with setup
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 105
-    data['c2'][dts[0]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 105
+    data.loc[dts[0], "c2"] = 95
 
     s.setup(data)
 
@@ -263,25 +260,25 @@ def test_security_setup_prices():
 
     assert c1.price == 105
     assert len(c1.prices) == 1
-    assert c1.prices[0] == 105
+    assert c1.prices.iloc[0] == 105
 
     assert c2.price == 95
     assert len(c2.prices) == 1
-    assert c2.prices[0] == 95
+    assert c2.prices.iloc[0] == 95
 
 
 def test_strategybase_tree_setup():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -299,14 +296,14 @@ def test_strategybase_tree_setup():
 
 
 def test_strategybase_tree_adjust():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -318,22 +315,22 @@ def test_strategybase_tree_adjust():
     assert c2.value == 0
     assert c1.weight == 0
     assert c2.weight == 0
-    
+
     s.update(dts[0])
-    assert s.flows[ dts[0] ] == 1000
+    assert s.flows[dts[0]] == 1000
 
 
 def test_strategybase_tree_update():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -357,11 +354,11 @@ def test_strategybase_tree_update():
 
 
 def test_update_fails_if_price_is_nan_and_position_open():
-    c1 = SecurityBase('c1')
+    c1 = SecurityBase("c1")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1'], data=100)
-    data['c1'][dts[1]] = np.nan
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1"], data=100)
+    data.loc[dts[1], "c1"] = np.nan
 
     c1.setup(data)
 
@@ -380,7 +377,7 @@ def test_update_fails_if_price_is_nan_and_position_open():
         c1.update(dts[i], data.loc[dts[i]])
         assert False
     except Exception as e:
-        assert str(e).startswith('Position is open')
+        assert str(e).startswith("Position is open")
 
     # on the other hand, if position was 0, this should be fine, and update
     # value to 0
@@ -390,17 +387,17 @@ def test_update_fails_if_price_is_nan_and_position_open():
 
 
 def test_strategybase_tree_allocate():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -423,21 +420,21 @@ def test_strategybase_tree_allocate():
     assert c1.value == 500
     assert s.capital == 1000 - 500
     assert s.value == 1000
-    assert c1.weight == 500.0 / 1000
+    assert c1.weight == pytest.approx(500.0 / 1000)
     assert c2.weight == 0
 
 
 def test_strategybase_tree_allocate_child_from_strategy():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -454,37 +451,37 @@ def test_strategybase_tree_allocate_child_from_strategy():
     assert c2.value == 0
 
     # now allocate to c1
-    s.allocate(500, 'c1')
+    s.allocate(500, "c1")
 
     assert c1.position == 5
     assert c1.value == 500
     assert s.capital == 1000 - 500
     assert s.value == 1000
-    assert c1.weight == 500.0 / 1000
+    assert c1.weight == pytest.approx(500.0 / 1000)
     assert c2.weight == 0
 
 
 def test_strategybase_tree_allocate_level2():
-    c1 = SecurityBase('c1')
+    c1 = SecurityBase("c1")
     c12 = copy.deepcopy(c1)
-    c2 = SecurityBase('c2')
+    c2 = SecurityBase("c2")
     c22 = copy.deepcopy(c2)
-    s1 = StrategyBase('s1', [c1, c2])
-    s2 = StrategyBase('s2', [c12, c22])
-    m = StrategyBase('m', [s1, s2])
+    s1 = StrategyBase("s1", [c1, c2])
+    s2 = StrategyBase("s2", [c12, c22])
+    m = StrategyBase("m", [s1, s2])
 
-    s1 = m['s1']
-    s2 = m['s2']
+    s1 = m["s1"]
+    s2 = m["s2"]
 
-    c1 = s1['c1']
-    c2 = s1['c2']
-    c12 = s2['c1']
-    c22 = s2['c2']
+    c1 = s1["c1"]
+    c2 = s1["c2"]
+    c12 = s2["c1"]
+    c22 = s2["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     m.setup(data)
 
@@ -508,7 +505,7 @@ def test_strategybase_tree_allocate_level2():
     assert s1.value == 500
     assert m.capital == 1000 - 500
     assert m.value == 1000
-    assert s1.weight == 500.0 / 1000
+    assert s1.weight == pytest.approx(500.0 / 1000)
     assert s2.weight == 0
 
     # now allocate directly to child of child
@@ -517,29 +514,29 @@ def test_strategybase_tree_allocate_level2():
     assert s1.value == 500
     assert s1.capital == 500 - 200
     assert c1.value == 200
-    assert c1.weight == 200.0 / 500
+    assert c1.weight == pytest.approx(200.0 / 500)
     assert c1.position == 2
 
     assert m.capital == 1000 - 500
     assert m.value == 1000
-    assert s1.weight == 500.0 / 1000
+    assert s1.weight == pytest.approx(500.0 / 1000)
     assert s2.weight == 0
 
     assert c12.value == 0
 
 
 def test_strategybase_tree_allocate_long_short():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -551,7 +548,7 @@ def test_strategybase_tree_allocate_long_short():
 
     assert c1.position == 5
     assert c1.value == 500
-    assert c1.weight == 500.0 / 1000
+    assert c1.weight == pytest.approx(500.0 / 1000)
     assert s.capital == 1000 - 500
     assert s.value == 1000
 
@@ -559,7 +556,7 @@ def test_strategybase_tree_allocate_long_short():
 
     assert c1.position == 3
     assert c1.value == 300
-    assert c1.weight == 300.0 / 1000
+    assert c1.weight == pytest.approx(300.0 / 1000)
     assert s.capital == 1000 - 500 + 200
     assert s.value == 1000
 
@@ -567,7 +564,7 @@ def test_strategybase_tree_allocate_long_short():
 
     assert c1.position == -1
     assert c1.value == -100
-    assert c1.weight == -100.0 / 1000
+    assert c1.weight == pytest.approx(-100.0 / 1000)
     assert s.capital == 1000 - 500 + 200 + 400
     assert s.value == 1000
 
@@ -582,17 +579,17 @@ def test_strategybase_tree_allocate_long_short():
 
 
 def test_strategybase_tree_allocate_update():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -610,7 +607,7 @@ def test_strategybase_tree_allocate_update():
 
     assert c1.position == 5
     assert c1.value == 500
-    assert c1.weight == 500.0 / 1000
+    assert c1.weight == pytest.approx(500.0 / 1000)
     assert s.capital == 1000 - 500
     assert s.value == 1000
     assert s.price == 100
@@ -620,19 +617,19 @@ def test_strategybase_tree_allocate_update():
 
     assert c1.position == 5
     assert c1.value == 525
-    assert c1.weight == 525.0 / 1025
+    assert c1.weight == pytest.approx(525.0 / 1025)
     assert s.capital == 1000 - 500
     assert s.value == 1025
     assert np.allclose(s.price, 102.5)
 
 
 def test_strategybase_universe():
-    s = StrategyBase('s')
+    s = StrategyBase("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 105
-    data['c2'][dts[0]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 105
+    data.loc[dts[0], "c2"] = 95
 
     s.setup(data)
 
@@ -640,22 +637,22 @@ def test_strategybase_universe():
     s.update(dts[i])
 
     assert len(s.universe) == 1
-    assert 'c1' in s.universe
-    assert 'c2' in s.universe
-    assert s.universe['c1'][dts[i]] == 105
-    assert s.universe['c2'][dts[i]] == 95
+    assert "c1" in s.universe
+    assert "c2" in s.universe
+    assert s.universe["c1"][dts[i]] == 105
+    assert s.universe["c2"][dts[i]] == 95
 
     # should not have children unless allocated
     assert len(s.children) == 0
 
 
 def test_strategybase_allocate():
-    s = StrategyBase('s')
+    s = StrategyBase("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 100
-    data['c2'][dts[0]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 100
+    data.loc[dts[0], "c2"] = 95
 
     s.setup(data)
 
@@ -663,8 +660,8 @@ def test_strategybase_allocate():
     s.update(dts[i])
 
     s.adjust(1000)
-    s.allocate(100, 'c1')
-    c1 = s['c1']
+    s.allocate(100, "c1")
+    c1 = s["c1"]
 
     assert c1.position == 1
     assert c1.value == 100
@@ -674,14 +671,18 @@ def test_strategybase_allocate():
 def test_strategybase_lazy():
     # A mix of test_strategybase_universe and test_strategybase_allocate
     # to make sure that assets with lazy_add work correctly.
-    c1 = SecurityBase('c1', multiplier=2, lazy_add=True, )
-    c2 = FixedIncomeSecurity('c2', lazy_add=True)
-    s = StrategyBase('s', [c1, c2])
-
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 105
-    data['c2'][dts[0]] = 95
+    c1 = SecurityBase(
+        "c1",
+        multiplier=2,
+        lazy_add=True,
+    )
+    c2 = FixedIncomeSecurity("c2", lazy_add=True)
+    s = StrategyBase("s", [c1, c2])
+
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 105
+    data.loc[dts[0], "c2"] = 95
 
     s.setup(data)
 
@@ -689,28 +690,28 @@ def test_strategybase_lazy():
     s.update(dts[i])
 
     assert len(s.universe) == 1
-    assert 'c1' in s.universe
-    assert 'c2' in s.universe
-    assert s.universe['c1'][dts[i]] == 105
-    assert s.universe['c2'][dts[i]] == 95
+    assert "c1" in s.universe
+    assert "c2" in s.universe
+    assert s.universe["c1"][dts[i]] == 105
+    assert s.universe["c2"][dts[i]] == 95
 
     # should not have children unless allocated
     assert len(s.children) == 0
-    
+
     s.adjust(1000)
-    s.allocate(100, 'c1')
-    s.allocate(100, 'c2')
-    c1 = s['c1']
-    c2 = s['c2']
+    s.allocate(100, "c1")
+    s.allocate(100, "c2")
+    c1 = s["c1"]
+    c2 = s["c2"]
     assert c1.multiplier == 2
-    assert isinstance( c2, FixedIncomeSecurity)
-    
+    assert isinstance(c2, FixedIncomeSecurity)
+
 
 def test_strategybase_close():
-    s = StrategyBase('s')
+    s = StrategyBase("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.setup(data)
 
@@ -718,14 +719,14 @@ def test_strategybase_close():
     s.update(dts[i])
 
     s.adjust(1000)
-    s.allocate(100, 'c1')
-    c1 = s['c1']
+    s.allocate(100, "c1")
+    c1 = s["c1"]
 
     assert c1.position == 1
     assert c1.value == 100
     assert s.value == 1000
 
-    s.close('c1')
+    s.close("c1")
 
     assert c1.position == 0
     assert c1.value == 0
@@ -733,10 +734,10 @@ def test_strategybase_close():
 
 
 def test_strategybase_flatten():
-    s = StrategyBase('s')
+    s = StrategyBase("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.setup(data)
 
@@ -744,10 +745,10 @@ def test_strategybase_flatten():
     s.update(dts[i])
 
     s.adjust(1000)
-    s.allocate(100, 'c1')
-    c1 = s['c1']
-    s.allocate(100, 'c2')
-    c2 = s['c2']
+    s.allocate(100, "c1")
+    c1 = s["c1"]
+    s.allocate(100, "c2")
+    c2 = s["c2"]
 
     assert c1.position == 1
     assert c1.value == 100
@@ -763,17 +764,17 @@ def test_strategybase_flatten():
 
 
 def test_strategybase_multiple_calls():
-    s = StrategyBase('s')
+    s = StrategyBase("s")
 
-    dts = pd.date_range('2010-01-01', periods=5)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=5)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
-    data.c2[dts[0]] = 95
-    data.c1[dts[1]] = 95
-    data.c2[dts[2]] = 95
-    data.c2[dts[3]] = 95
-    data.c2[dts[4]] = 95
-    data.c1[dts[4]] = 105
+    data.loc[dts[0], 'c2'] = 95
+    data.loc[dts[1], 'c1'] = 95
+    data.loc[dts[2], 'c2'] = 95
+    data.loc[dts[3], 'c2'] = 95
+    data.loc[dts[4], 'c2'] = 95
+    data.loc[dts[4], 'c1'] = 105
 
     s.setup(data)
 
@@ -810,21 +811,21 @@ def algo(target):
     assert s.value == 1000
     assert s.capital == 50
 
-    c2 = s['c2']
+    c2 = s["c2"]
     assert c2.value == 950
-    assert c2.weight == 950.0 / 1000
+    assert c2.weight == pytest.approx(950.0 / 1000)
     assert c2.price == 95
 
     # update out t0
     s.update(dts[i])
 
-    c2 = s['c2']
+    c2 = s["c2"]
     assert len(s.children) == 1
     assert s.value == 1000
     assert s.capital == 50
 
     assert c2.value == 950
-    assert c2.weight == 950.0 / 1000
+    assert c2.weight == pytest.approx(950.0 / 1000)
     assert c2.price == 95
 
     # update t1
@@ -835,10 +836,10 @@ def algo(target):
     assert s.capital == 50
     assert len(s.children) == 1
 
-    assert 'c2' in s.children
-    c2 = s['c2']
+    assert "c2" in s.children
+    c2 = s["c2"]
     assert c2.value == 1000
-    assert c2.weight == 1000.0 / 1050.0
+    assert c2.weight == pytest.approx(1000.0 / 1050.0)
     assert c2.price == 100
 
     # run t1 - close out c2, open c1
@@ -848,9 +849,9 @@ def algo(target):
     assert s.value == 1050
     assert s.capital == 5
 
-    c1 = s['c1']
+    c1 = s["c1"]
     assert c1.value == 1045
-    assert c1.weight == 1045.0 / 1050
+    assert c1.weight == pytest.approx(1045.0 / 1050)
     assert c1.price == 95
 
     assert c2.value == 0
@@ -864,9 +865,9 @@ def algo(target):
     assert s.value == 1050
     assert s.capital == 5
 
-    assert c1 == s['c1']
+    assert c1 == s["c1"]
     assert c1.value == 1045
-    assert c1.weight == 1045.0 / 1050
+    assert c1.weight == pytest.approx(1045.0 / 1050)
     assert c1.price == 95
 
     assert c2.value == 0
@@ -882,7 +883,7 @@ def algo(target):
     assert s.capital == 5
 
     assert c1.value == 1100
-    assert c1.weight == 1100.0 / 1105
+    assert c1.weight == pytest.approx(1100.0 / 1105)
     assert c1.price == 100
 
     assert c2.value == 0
@@ -901,7 +902,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # update out t2
@@ -916,7 +917,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # update t3
@@ -932,7 +933,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # run t3
@@ -947,7 +948,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # update out t3
@@ -962,7 +963,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # update t4
@@ -981,7 +982,7 @@ def algo(target):
     assert len(c1.prices) == 5
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # run t4
@@ -996,7 +997,7 @@ def algo(target):
     assert c1.price == 105
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # update out t4
@@ -1011,27 +1012,27 @@ def algo(target):
     assert c1.price == 105
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
 
 def test_strategybase_multiple_calls_preset_secs():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('s', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("s", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=5)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=5)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
-    data.c2[dts[0]] = 95
-    data.c1[dts[1]] = 95
-    data.c2[dts[2]] = 95
-    data.c2[dts[3]] = 95
-    data.c2[dts[4]] = 95
-    data.c1[dts[4]] = 105
+    data.loc[dts[0], 'c2'] = 95
+    data.loc[dts[1], 'c1'] = 95
+    data.loc[dts[2], 'c2'] = 95
+    data.loc[dts[3], 'c2'] = 95
+    data.loc[dts[4], 'c2'] = 95
+    data.loc[dts[4], 'c1'] = 105
 
     s.setup(data)
 
@@ -1069,7 +1070,7 @@ def algo(target):
     assert s.capital == 50
 
     assert c2.value == 950
-    assert c2.weight == 950.0 / 1000
+    assert c2.weight == pytest.approx(950.0 / 1000)
     assert c2.price == 95
 
     # update out t0
@@ -1080,7 +1081,7 @@ def algo(target):
     assert s.capital == 50
 
     assert c2.value == 950
-    assert c2.weight == 950.0 / 1000
+    assert c2.weight == pytest.approx(950.0 / 1000)
     assert c2.price == 95
 
     # update t1
@@ -1092,14 +1093,14 @@ def algo(target):
     assert len(s.children) == 2
 
     assert c2.value == 1000
-    assert c2.weight == 1000.0 / 1050.
+    assert c2.weight == pytest.approx(1000.0 / 1050.0)
     assert c2.price == 100
 
     # run t1 - close out c2, open c1
     s.run(s)
 
     assert c1.value == 1045
-    assert c1.weight == 1045.0 / 1050
+    assert c1.weight == pytest.approx(1045.0 / 1050)
     assert c1.price == 95
 
     assert c2.value == 0
@@ -1118,7 +1119,7 @@ def algo(target):
     assert s.capital == 5
 
     assert c1.value == 1045
-    assert c1.weight == 1045.0 / 1050
+    assert c1.weight == pytest.approx(1045.0 / 1050)
     assert c1.price == 95
 
     assert c2.value == 0
@@ -1134,7 +1135,7 @@ def algo(target):
     assert s.capital == 5
 
     assert c1.value == 1100
-    assert c1.weight == 1100.0 / 1105
+    assert c1.weight == pytest.approx(1100.0 / 1105)
     assert c1.price == 100
 
     assert c2.value == 0
@@ -1153,7 +1154,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # update out t2
@@ -1168,7 +1169,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # update t3
@@ -1184,7 +1185,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # run t3
@@ -1199,7 +1200,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # update out t3
@@ -1214,7 +1215,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # update t4
@@ -1233,7 +1234,7 @@ def algo(target):
     assert len(c1.prices) == 5
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # run t4
@@ -1248,7 +1249,7 @@ def algo(target):
     assert c1.price == 105
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
     # update out t4
@@ -1263,23 +1264,23 @@ def algo(target):
     assert c1.price == 105
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1105
+    assert c2.weight == pytest.approx(1045.0 / 1105)
     assert c2.price == 95
 
 
 def test_strategybase_multiple_calls_no_post_update():
-    s = StrategyBase('s')
+    s = StrategyBase("s")
     s.set_commissions(lambda q, p: 1)
 
-    dts = pd.date_range('2010-01-01', periods=5)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=5)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
-    data.c2[dts[0]] = 95
-    data.c1[dts[1]] = 95
-    data.c2[dts[2]] = 95
-    data.c2[dts[3]] = 95
-    data.c2[dts[4]] = 95
-    data.c1[dts[4]] = 105
+    data.loc[dts[0], 'c2'] = 95
+    data.loc[dts[1], 'c1'] = 95
+    data.loc[dts[2], 'c2'] = 95
+    data.loc[dts[3], 'c2'] = 95
+    data.loc[dts[4], 'c2'] = 95
+    data.loc[dts[4], 'c1'] = 105
 
     s.setup(data)
 
@@ -1316,9 +1317,9 @@ def algo(target):
     assert s.value == 999
     assert s.capital == 49
 
-    c2 = s['c2']
+    c2 = s["c2"]
     assert c2.value == 950
-    assert c2.weight == 950.0 / 999
+    assert c2.weight == pytest.approx(950.0 / 999)
     assert c2.price == 95
 
     # update t1
@@ -1329,10 +1330,10 @@ def algo(target):
     assert s.capital == 49
     assert len(s.children) == 1
 
-    assert 'c2' in s.children
-    c2 = s['c2']
+    assert "c2" in s.children
+    c2 = s["c2"]
     assert c2.value == 1000
-    assert c2.weight == 1000.0 / 1049.0
+    assert c2.weight == pytest.approx(1000.0 / 1049.0)
     assert c2.price == 100
 
     # run t1 - close out c2, open c1
@@ -1342,9 +1343,9 @@ def algo(target):
     assert s.value == 1047
     assert s.capital == 2
 
-    c1 = s['c1']
+    c1 = s["c1"]
     assert c1.value == 1045
-    assert c1.weight == 1045.0 / 1047
+    assert c1.weight == pytest.approx(1045.0 / 1047)
     assert c1.price == 95
 
     assert c2.value == 0
@@ -1360,7 +1361,7 @@ def algo(target):
     assert s.capital == 2
 
     assert c1.value == 1100
-    assert c1.weight == 1100.0 / 1102
+    assert c1.weight == pytest.approx(1100.0 / 1102)
     assert c1.price == 100
 
     assert c2.value == 0
@@ -1379,7 +1380,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1100
+    assert c2.weight == pytest.approx(1045.0 / 1100)
     assert c2.price == 95
 
     # update t3
@@ -1395,7 +1396,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1100
+    assert c2.weight == pytest.approx(1045.0 / 1100)
     assert c2.price == 95
 
     # run t3
@@ -1410,7 +1411,7 @@ def algo(target):
     assert c1.price == 100
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1098
+    assert c2.weight == pytest.approx(1045.0 / 1098)
     assert c2.price == 95
 
     # update t4
@@ -1429,7 +1430,7 @@ def algo(target):
     assert len(c1.prices) == 5
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1098
+    assert c2.weight == pytest.approx(1045.0 / 1098)
     assert c2.price == 95
 
     # run t4
@@ -1444,20 +1445,38 @@ def algo(target):
     assert c1.price == 105
 
     assert c2.value == 1045
-    assert c2.weight == 1045.0 / 1096
+    assert c2.weight == pytest.approx(1045.0 / 1096)
     assert c2.price == 95
 
 
 def test_strategybase_prices():
-    dts = pd.date_range('2010-01-01', periods=21)
-    rawd = [13.555, 13.75, 14.16, 13.915, 13.655,
-            13.765, 14.02, 13.465, 13.32, 14.65,
-            14.59, 14.175, 13.865, 13.865, 13.89,
-            13.85, 13.565, 13.47, 13.225, 13.385,
-            12.89]
-    data = pd.DataFrame(index=dts, data=rawd, columns=['a'])
-
-    s = StrategyBase('s')
+    dts = pd.date_range("2010-01-01", periods=21)
+    rawd = [
+        13.555,
+        13.75,
+        14.16,
+        13.915,
+        13.655,
+        13.765,
+        14.02,
+        13.465,
+        13.32,
+        14.65,
+        14.59,
+        14.175,
+        13.865,
+        13.865,
+        13.89,
+        13.85,
+        13.565,
+        13.47,
+        13.225,
+        13.385,
+        12.89,
+    ]
+    data = pd.DataFrame(index=dts, data=rawd, columns=["a"])
+
+    s = StrategyBase("s")
     s.set_commissions(lambda q, p: 1)
     s.setup(data)
 
@@ -1469,45 +1488,45 @@ def test_strategybase_prices():
     # allocate all capital to child a
     # a should be dynamically created and should have
     # 100 shares allocated. s.capital should be 0
-    s.allocate(s.value, 'a')
+    s.allocate(s.value, "a")
 
     assert s.capital == 0
-    assert s.value == 1355.50
+    assert s.value == pytest.approx(1355.50)
     assert len(s.children) == 1
-    aae(s.price, 99.92628, 5)
+    assert s.price == pytest.approx(99.92628, 5)
 
-    a = s['a']
+    a = s["a"]
     assert a.position == 100
-    assert a.value == 1355.50
+    assert a.value == pytest.approx(1355.50)
     assert a.weight == 1
-    assert a.price == 13.555
+    assert a.price == pytest.approx(13.555)
     assert len(a.prices) == 1
 
     # update through all dates and make sure price is ok
     s.update(dts[1])
-    aae(s.price, 101.3638, 4)
+    assert s.price == pytest.approx(101.3638, 4)
 
     s.update(dts[2])
-    aae(s.price, 104.3863, 4)
+    assert s.price == pytest.approx(104.3863, 4)
 
     s.update(dts[3])
-    aae(s.price, 102.5802, 4)
+    assert s.price == pytest.approx(102.5802, 4)
 
     # finish updates and make sure ok at end
     for i in range(4, 21):
         s.update(dts[i])
 
     assert len(s.prices) == 21
-    aae(s.prices[-1], 95.02396, 5)
-    aae(s.prices[-2], 98.67306, 5)
+    assert s.prices.iloc[-1] == pytest.approx(95.02396, 5)
+    assert s.prices.iloc[-2] == pytest.approx(98.67306, 5)
 
 
 def test_fail_if_root_value_negative():
-    s = StrategyBase('s')
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 100
-    data['c2'][dts[0]] = 95
+    s = StrategyBase("s")
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 100
+    data.loc[dts[0], "c2"] = 95
     s.setup(data)
 
     s.adjust(-100)
@@ -1517,9 +1536,9 @@ def test_fail_if_root_value_negative():
     assert s.bankrupt
 
     # make sure only triggered if root negative
-    c1 = StrategyBase('c1')
-    s = StrategyBase('s', children=[c1])
-    c1 = s['c1']
+    c1 = StrategyBase("c1")
+    s = StrategyBase("s", children=[c1])
+    c1 = s["c1"]
 
     s.setup(data)
 
@@ -1536,15 +1555,15 @@ def test_fail_if_root_value_negative():
 
 
 def test_fail_if_0_base_in_return_calc():
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 100
-    data['c2'][dts[0]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 100
+    data.loc[dts[0], "c2"] = 95
 
     # must setup tree because if not negative root error pops up first
-    c1 = StrategyBase('c1')
-    s = StrategyBase('s', children=[c1])
-    c1 = s['c1']
+    c1 = StrategyBase("c1")
+    s = StrategyBase("s", children=[c1])
+    c1 = s["c1"]
     s.setup(data)
 
     s.adjust(1000)
@@ -1559,23 +1578,23 @@ def test_fail_if_0_base_in_return_calc():
         s.update(dts[1])
         assert False
     except ZeroDivisionError as e:
-        if 'Could not update' not in str(e):
+        if "Could not update" not in str(e):
             assert False
 
 
 def test_strategybase_tree_rebalance():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
     s.set_commissions(lambda q, p: 1)
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -1590,32 +1609,33 @@ def test_strategybase_tree_rebalance():
     assert c2.value == 0
 
     # now rebalance c1
-    s.rebalance(0.5, 'c1', update=True)
+    s.rebalance(0.5, "c1", update=True)
     assert s.root.stale == True
 
     assert c1.position == 4
     assert c1.value == 400
     assert s.capital == 1000 - 401
     assert s.value == 999
-    assert c1.weight == 400.0 / 999
+    assert c1.weight == pytest.approx(400.0 / 999)
     assert c2.weight == 0
 
     # Check that rebalance with update=False
     # does not mark the node as stale
-    s.rebalance(0.6, 'c1', update=False)
+    s.rebalance(0.6, "c1", update=False)
     assert s.root.stale == False
 
+
 def test_strategybase_tree_decimal_position_rebalance():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
     s.use_integer_positions(False)
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.setup(data)
 
@@ -1623,21 +1643,21 @@ def test_strategybase_tree_decimal_position_rebalance():
     s.update(dts[i], data.loc[dts[i]])
 
     s.adjust(1000.2)
-    s.rebalance(0.42, 'c1')
-    s.rebalance(0.58, 'c2')
+    s.rebalance(0.42, "c1")
+    s.rebalance(0.58, "c2")
 
-    aae(c1.value, 420.084)
-    aae(c2.value, 580.116)
-    aae(c1.value + c2.value, 1000.2)
+    assert c1.value == pytest.approx(420.084)
+    assert c2.value == pytest.approx(580.116)
+    assert c1.value + c2.value == pytest.approx(1000.2)
 
 
 def test_rebalance_child_not_in_tree():
-    s = StrategyBase('p')
+    s = StrategyBase("p")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -1646,7 +1666,7 @@ def test_rebalance_child_not_in_tree():
     s.adjust(1000)
 
     # rebalance to 0 w/ child that is not present - should ignore
-    s.rebalance(0, 'c2')
+    s.rebalance(0, "c2")
 
     assert s.value == 1000
     assert s.capital == 1000
@@ -1654,17 +1674,17 @@ def test_rebalance_child_not_in_tree():
 
 
 def test_strategybase_tree_rebalance_to_0():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -1679,17 +1699,17 @@ def test_strategybase_tree_rebalance_to_0():
     assert c2.value == 0
 
     # now rebalance c1
-    s.rebalance(0.5, 'c1')
+    s.rebalance(0.5, "c1")
 
     assert c1.position == 5
     assert c1.value == 500
     assert s.capital == 1000 - 500
     assert s.value == 1000
-    assert c1.weight == 500.0 / 1000
+    assert c1.weight == pytest.approx(500.0 / 1000)
     assert c2.weight == 0
 
     # now rebalance c1
-    s.rebalance(0, 'c1')
+    s.rebalance(0, "c1")
 
     assert c1.position == 0
     assert c1.value == 0
@@ -1700,27 +1720,27 @@ def test_strategybase_tree_rebalance_to_0():
 
 
 def test_strategybase_tree_rebalance_level2():
-    c1 = SecurityBase('c1')
+    c1 = SecurityBase("c1")
     c12 = copy.deepcopy(c1)
-    c2 = SecurityBase('c2')
+    c2 = SecurityBase("c2")
     c22 = copy.deepcopy(c2)
-    s1 = StrategyBase('s1', [c1, c2])
-    s2 = StrategyBase('s2', [c12, c22])
-    m = StrategyBase('m', [s1, s2])
+    s1 = StrategyBase("s1", [c1, c2])
+    s2 = StrategyBase("s2", [c12, c22])
+    m = StrategyBase("m", [s1, s2])
 
-    s1 = m['s1']
-    s2 = m['s2']
+    s1 = m["s1"]
+    s2 = m["s2"]
 
-    c1 = s1['c1']
-    c2 = s1['c2']
+    c1 = s1["c1"]
+    c2 = s1["c2"]
 
-    c12 = s2['c1']
-    c22 = s2['c2']
+    c12 = s2["c1"]
+    c22 = s2["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     m.setup(data)
 
@@ -1737,44 +1757,44 @@ def test_strategybase_tree_rebalance_level2():
     assert c2.value == 0
 
     # now rebalance child s1 - since its children are 0, no waterfall alloc
-    m.rebalance(0.5, 's1')
+    m.rebalance(0.5, "s1")
 
     assert s1.value == 500
     assert m.capital == 1000 - 500
     assert m.value == 1000
-    assert s1.weight == 500.0 / 1000
+    assert s1.weight == pytest.approx(500.0 / 1000)
     assert s2.weight == 0
 
     # now allocate directly to child of child
-    s1.rebalance(0.4, 'c1')
+    s1.rebalance(0.4, "c1")
 
     assert s1.value == 500
     assert s1.capital == 500 - 200
     assert c1.value == 200
-    assert c1.weight == 200.0 / 500
+    assert c1.weight == pytest.approx(200.0 / 500)
     assert c1.position == 2
 
     assert m.capital == 1000 - 500
     assert m.value == 1000
-    assert s1.weight == 500.0 / 1000
+    assert s1.weight == pytest.approx(500.0 / 1000)
     assert s2.weight == 0
 
     assert c12.value == 0
 
     # now rebalance child s1 again and make sure c1 also gets proportional
     # increase
-    m.rebalance(0.8, 's1')
+    m.rebalance(0.8, "s1")
     assert s1.value == 800
-    aae(m.capital, 200, 1)
+    assert m.capital == pytest.approx(200, 1)
     assert m.value == 1000
     assert s1.weight == 800 / 1000
     assert s2.weight == 0
-    assert c1.value == 300.0
-    assert c1.weight == 300.0 / 800
+    assert c1.value == pytest.approx(300.0)
+    assert c1.weight == pytest.approx(300.0 / 800)
     assert c1.position == 3
 
     # now rebalance child s1 to 0 - should close out s1 and c1 as well
-    m.rebalance(0, 's1')
+    m.rebalance(0, "s1")
 
     assert s1.value == 0
     assert m.capital == 1000
@@ -1785,18 +1805,18 @@ def test_strategybase_tree_rebalance_level2():
 
 
 def test_strategybase_tree_rebalance_base():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
     s.set_commissions(lambda q, p: 1)
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -1812,23 +1832,23 @@ def test_strategybase_tree_rebalance_base():
 
     # check that 2 rebalances of equal weight lead to two different allocs
     # since value changes after first call
-    s.rebalance(0.5, 'c1')
+    s.rebalance(0.5, "c1")
 
     assert c1.position == 4
     assert c1.value == 400
     assert s.capital == 1000 - 401
     assert s.value == 999
-    assert c1.weight == 400.0 / 999
+    assert c1.weight == pytest.approx(400.0 / 999)
     assert c2.weight == 0
 
-    s.rebalance(0.5, 'c2')
+    s.rebalance(0.5, "c2")
 
     assert c2.position == 4
     assert c2.value == 400
     assert s.capital == 1000 - 401 - 401
     assert s.value == 998
-    assert c2.weight == 400.0 / 998
-    assert c1.weight == 400.0 / 998
+    assert c2.weight == pytest.approx(400.0 / 998)
+    assert c1.weight == pytest.approx(400.0 / 998)
 
     # close out everything
     s.flatten()
@@ -1843,23 +1863,23 @@ def test_strategybase_tree_rebalance_base():
 
     # now rebalance but set fixed base
     base = s.value
-    s.rebalance(0.5, 'c1', base=base)
+    s.rebalance(0.5, "c1", base=base)
 
     assert c1.position == 4
     assert c1.value == 400
     assert s.capital == 1000 - 401
     assert s.value == 999
-    assert c1.weight == 400.0 / 999
+    assert c1.weight == pytest.approx(400.0 / 999)
     assert c2.weight == 0
 
-    s.rebalance(0.5, 'c2', base=base)
+    s.rebalance(0.5, "c2", base=base)
 
     assert c2.position == 4
     assert c2.value == 400
     assert s.capital == 1000 - 401 - 401
     assert s.value == 998
-    assert c2.weight == 400.0 / 998
-    assert c1.weight == 400.0 / 998
+    assert c2.weight == pytest.approx(400.0 / 998)
+    assert c1.weight == pytest.approx(400.0 / 998)
 
 
 def test_algo_stack():
@@ -1898,36 +1918,36 @@ def test_algo_stack():
 
 
 def test_set_commissions():
-    s = StrategyBase('s')
+    s = StrategyBase("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.set_commissions(lambda x, y: 1.0)
     s.setup(data)
     s.update(dts[0])
     s.adjust(1000)
 
-    s.allocate(500, 'c1')
+    s.allocate(500, "c1")
     assert s.capital == 599
 
     s.set_commissions(lambda x, y: 0.0)
-    s.allocate(-400, 'c1')
+    s.allocate(-400, "c1")
     assert s.capital == 999
 
 
 def test_strategy_tree_proper_return_calcs():
-    s1 = StrategyBase('s1')
-    s2 = StrategyBase('s2')
-    m = StrategyBase('m', [s1, s2])
+    s1 = StrategyBase("s1")
+    s2 = StrategyBase("s2")
+    m = StrategyBase("m", [s1, s2])
 
-    s1 = m['s1']
-    s2 = m['s2']
+    s1 = m["s1"]
+    s2 = m["s2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data.loc['c1', dts[1]] = 105
-    data.loc['c2', dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc["c1", dts[1]] = 105
+    data.loc["c2", dts[1]] = 95
 
     m.setup(data)
 
@@ -1951,34 +1971,34 @@ def test_strategy_tree_proper_return_calcs():
     assert m.value == 1000
     assert m.price == 100
     assert s1.value == 500
-    assert s1.weight == 500.0 / 1000
+    assert s1.weight == pytest.approx(500.0 / 1000)
     assert s1.price == 100
     assert s2.weight == 0
 
     # allocate to child2 via parent method
-    m.allocate(500, 's2')
+    m.allocate(500, "s2")
 
     assert m.capital == 0
     assert m.value == 1000
     assert m.price == 100
     assert s1.value == 500
-    assert s1.weight == 500.0 / 1000
+    assert s1.weight == pytest.approx(500.0 / 1000)
     assert s1.price == 100
     assert s2.value == 500
-    assert s2.weight == 500.0 / 1000
+    assert s2.weight == pytest.approx(500.0 / 1000)
     assert s2.price == 100
 
     # now allocate and incur commission fee
-    s1.allocate(500, 'c1')
+    s1.allocate(500, "c1")
 
     assert m.capital == 0
     assert m.value == 1000
     assert m.price == 100
     assert s1.value == 500
-    assert s1.weight == 500.0 / 1000
+    assert s1.weight == pytest.approx(500.0 / 1000)
     assert s1.price == 100
     assert s2.value == 500
-    assert s2.weight == 500.0 / 1000.0
+    assert s2.weight == pytest.approx(500.0 / 1000.0)
     assert s2.price == 100
 
 
@@ -1986,61 +2006,70 @@ def test_strategy_tree_proper_universes():
     def do_nothing(x):
         return True
 
-    child1 = Strategy('c1', [do_nothing], ['b', 'c'])
-    parent = Strategy('m', [do_nothing], [child1, 'a'])
+    child1 = Strategy("c1", [do_nothing], ["b", "c"])
+    parent = Strategy("m", [do_nothing], [child1, "a"])
 
-    child1 = parent['c1']
+    child1 = parent["c1"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
+    dts = pd.date_range("2010-01-01", periods=3)
     data = pd.DataFrame(
-        {'a': pd.Series(data=1, index=dts, name='a'),
-         'b': pd.Series(data=2, index=dts, name='b'),
-         'c': pd.Series(data=3, index=dts, name='c')})
+        {
+            "a": pd.Series(data=1, index=dts, name="a"),
+            "b": pd.Series(data=2, index=dts, name="b"),
+            "c": pd.Series(data=3, index=dts, name="c"),
+        }
+    )
 
-    parent.setup(data, test_data1 = 'test1')
+    parent.setup(data, test_data1="test1")
 
     assert len(parent.children) == 1
-    assert 'c1' in parent.children
+    assert "c1" in parent.children
     assert len(parent._universe.columns) == 2
-    assert 'c1' in parent._universe.columns
-    assert 'a' in parent._universe.columns
+    assert "c1" in parent._universe.columns
+    assert "a" in parent._universe.columns
 
     assert len(child1._universe.columns) == 2
-    assert 'b' in child1._universe.columns
-    assert 'c' in child1._universe.columns
-    
+    assert "b" in child1._universe.columns
+    assert "c" in child1._universe.columns
+
     assert parent._has_strat_children
     assert len(parent._strat_children) == 1
-    
-    assert parent.get_data( 'test_data1' ) == 'test1'
-    
+
+    assert parent.get_data("test_data1") == "test1"
+
     # New child strategy with parent (and using dictionary notation}
-    child2 = Strategy('c2', [do_nothing], {'a' : SecurityBase(''), 'b' : ''}, parent=parent)
-    # Setup the child from the parent, but pass in some additional data 
-    child2.setup_from_parent(test_data2 = 'test2')
-    assert 'a' in child2._universe.columns
-    assert 'b' in child2._universe.columns
-    assert 'c2' in parent._universe.columns
+    child2 = Strategy(
+        "c2", [do_nothing], {"a": SecurityBase(""), "b": ""}, parent=parent
+    )
+    # Setup the child from the parent, but pass in some additional data
+    child2.setup_from_parent(test_data2="test2")
+    assert "a" in child2._universe.columns
+    assert "b" in child2._universe.columns
+    assert "c2" in parent._universe.columns
     # Make sure child has data from the parent and the additional data
-    assert child2.get_data('test_data1') == 'test1'
-    assert child2.get_data('test_data2') == 'test2'
-    
+    assert child2.get_data("test_data1") == "test1"
+    assert child2.get_data("test_data2") == "test2"
+
     assert len(parent._strat_children) == 2
 
 
 def test_strategy_tree_paper():
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['a'], data=100.)
-    data['a'].loc[dts[1]] = 101
-    data['a'].loc[dts[2]] = 102
-
-    s = Strategy('s',
-                 [bt.algos.SelectWhere(data > 100),
-                  bt.algos.WeighEqually(),
-                  bt.algos.Rebalance()])
-
-    m = Strategy('m', [], [s])
-    s = m['s']
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["a"], data=100.0)
+    data.loc[dts[1], "a"] = 101
+    data.loc[dts[2], "a"] = 102
+
+    s = Strategy(
+        "s",
+        [
+            bt.algos.SelectWhere(data > 100),
+            bt.algos.WeighEqually(),
+            bt.algos.Rebalance(),
+        ],
+    )
+
+    m = Strategy("m", [], [s])
+    s = m["s"]
 
     m.setup(data)
     m.update(dts[0])
@@ -2065,7 +2094,7 @@ def test_strategy_tree_paper():
     assert m.price == 100
     assert m.value == 0
     assert s.value == 0
-    assert np.allclose(s.price, 100. * (102 / 101.))
+    assert np.allclose(s.price, 100.0 * (102 / 101.0))
 
 
 def test_dynamic_strategy():
@@ -2073,175 +2102,177 @@ def do_nothing(x):
         return True
 
     # Start with an empty parent
-    parent = Strategy('p', [do_nothing], [])
-    dts = pd.date_range('2010-01-01', periods=4)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100.)
-    data['c1'][dts[2]] = 105.
-    data['c2'][dts[2]] = 95. 
-    
-    parent.setup( data )
+    parent = Strategy("p", [do_nothing], [])
+    dts = pd.date_range("2010-01-01", periods=4)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100.0)
+    data.loc[dts[2], "c1"] = 105.0
+    data.loc[dts[2], "c2"] = 95.0
+
+    parent.setup(data)
 
     # NOTE: Price of the sub-strategy won't be correct in this example because
     # we are not using the algo stack to impact weights, and so the paper
     # trading strategy does not see the same actions as we are doing.
     i = 0
-    parent.adjust( 1e6 )
-    parent.update( dts[i] )
-    assert parent.price == 100.
-    assert parent.value == 1e6  
+    parent.adjust(1e6)
+    parent.update(dts[i])
+    assert parent.price == pytest.approx(100.0)
+    assert parent.value == 1e6
 
     i = 1
-    parent.update( dts[i] )
+    parent.update(dts[i])
     # On this step, we decide to put a trade on c1 vs c2 and track it as a strategy
-    trade = Strategy('c1_vs_c2', [], children = ['c1', 'c2'], parent = parent )
+    trade = Strategy("c1_vs_c2", [], children=["c1", "c2"], parent=parent)
     trade.setup_from_parent()
-    trade.update( parent.now )
-    
-    assert trade.price == 100.
+    trade.update(parent.now)
+
+    assert trade.price == pytest.approx(100.0)
     assert trade.value == 0
-    
+
     # Allocate capital to the trade
-    parent.allocate( 1e5, trade.name )
+    parent.allocate(1e5, trade.name)
     assert trade.value == 1e5
-    assert trade.price == 100.
-    
+    assert trade.price == pytest.approx(100.0)
+
     # Go long 'c1' and short 'c2'
-    trade.rebalance( 1., 'c1')
-    trade.rebalance( -1., 'c2')
-       
-    assert parent.universe[ trade.name ][ dts[i] ] == 100.
-    assert parent.positions['c1'][ dts[i] ] == 1e3
-    assert parent.positions['c2'][ dts[i] ] == -1e3   
-    
+    trade.rebalance(1.0, "c1")
+    trade.rebalance(-1.0, "c2")
+
+    assert parent.universe[trade.name][dts[i]] == pytest.approx(100.0)
+    assert parent.positions["c1"][dts[i]] == 1e3
+    assert parent.positions["c2"][dts[i]] == -1e3
+
     i = 2
-    parent.update( dts[i] )    
-    assert trade.value == 1e5 + 10 * 1e3     
+    parent.update(dts[i])
+    assert trade.value == 1e5 + 10 * 1e3
     assert parent.value == 1e6 + 10 * 1e3
-    
+
     # On this step, we close the trade, and allocate capital back to the parent
     trade.flatten()
-    trade.update( trade.now ) # Need to update after flattening (for now)
-    parent.allocate( -trade.capital, trade.name )
-    assert trade.value == 0    
+    trade.update(trade.now)  # Need to update after flattening (for now)
+    parent.allocate(-trade.capital, trade.name)
+    assert trade.value == 0
     assert trade.capital == 0
     assert parent.value == 1e6 + 10 * 1e3
     assert parent.capital == parent.value
-    assert parent.positions['c1'][ dts[i] ] == 0.
-    assert parent.positions['c2'][ dts[i] ] == 0.
-    
+    assert parent.positions["c1"][dts[i]] == pytest.approx(0.0)
+    assert parent.positions["c2"][dts[i]] == pytest.approx(0.0)
+
     i = 3
-    parent.update( dts[i] )
+    parent.update(dts[i])
     # Just make sure we can update one step beyond closing
-    
+
     # Note that "trade" is still a child of parent, and it also has children,
     # so it will keep getting updated (and paper trading will still happen).
     assert trade.value == 0
     assert trade.capital == 0
-    assert trade.values[ dts[i] ] == 0.
-    
-    
+    assert trade.values[dts[i]] == pytest.approx(0.0)
+
+
 def test_dynamic_strategy2():
 
     # Start with an empty parent
-    parent = Strategy('p', [], [])
-    
-    dts = pd.date_range('2010-01-01', periods=4)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=100.)
-    data['c1'][dts[2]] = 105.
-    data['c2'][dts[2]] = 95. 
-    data['c1'][dts[3]] = 101.
-    data['c2'][dts[3]] = 99. 
-    parent.setup( data )
+    parent = Strategy("p", [], [])
+
+    dts = pd.date_range("2010-01-01", periods=4)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=100.0)
+    data.loc[dts[2], "c1"] = 105.0
+    data.loc[dts[2], "c2"] = 95.0
+    data.loc[dts[3], "c1"] = 101.0
+    data.loc[dts[3], "c2"] = 99.0
+    parent.setup(data)
 
     i = 0
-    parent.adjust( 1e6 )
-    parent.update( dts[i] )
-    assert parent.price == 100.
-    assert parent.value == 1e6  
+    parent.adjust(1e6)
+    parent.update(dts[i])
+    assert parent.price == pytest.approx(100.0)
+    assert parent.value == 1e6
 
     i = 1
-    parent.update( dts[i] )
+    parent.update(dts[i])
     # On this step, we decide to put a trade on c1 vs c2 and track it as a strategy
-    def trade_c1_vs_c2( strategy ):
+    def trade_c1_vs_c2(strategy):
         if strategy.now == dts[1]:
-            strategy.rebalance( 1., 'c1')
-            strategy.rebalance( -1., 'c2')
-        
-    trade = Strategy('c1_vs_c2', [trade_c1_vs_c2], children = ['c1', 'c2'], parent = parent )
+            strategy.rebalance(1.0, "c1")
+            strategy.rebalance(-1.0, "c2")
+
+    trade = Strategy("c1_vs_c2", [trade_c1_vs_c2], children=["c1", "c2"], parent=parent)
     trade.setup_from_parent()
-    trade.update( parent.now )
-    
-    assert trade.price == 100.
+    trade.update(parent.now)
+
+    assert trade.price == pytest.approx(100.0)
     assert trade.value == 0
-    
+
     # Allocate capital to the trade
-    parent.allocate( 1e5, trade.name )
+    parent.allocate(1e5, trade.name)
     assert trade.value == 1e5
-    assert trade.price == 100.
-    
+    assert trade.price == pytest.approx(100.0)
+
     # Run the strategy for the timestep
     parent.run()
-       
-    assert parent.universe[ trade.name ][ dts[i] ] == 100.
-    assert np.isnan( parent.universe[ trade.name ][ dts[0] ] )
-    assert parent.positions['c1'][ dts[i] ] == 1e3
-    assert parent.positions['c2'][ dts[i] ] == -1e3   
-    
+
+    assert parent.universe[trade.name][dts[i]] == pytest.approx(100.0)
+    assert np.isnan(parent.universe[trade.name][dts[0]])
+    assert parent.positions["c1"][dts[i]] == 1e3
+    assert parent.positions["c2"][dts[i]] == -1e3
+
     i = 2
-    parent.update( dts[i] ) 
-    trade = parent[ trade.name ]    
-    assert trade.value == 1e5 + 10 * 1e3     
+    parent.update(dts[i])
+    trade = parent[trade.name]
+    assert trade.value == 1e5 + 10 * 1e3
     assert parent.value == 1e6 + 10 * 1e3
-    aae( trade.price, 110.)
-    
+    assert trade.price == pytest.approx(110.0)
+
     # Next we close the trade by flattening positions
     trade.flatten()
-    trade.update( trade.now ) # Need to update after flattening (for now)
-    aae( trade.price, 110.) 
-    
+    trade.update(trade.now)  # Need to update after flattening (for now)
+    assert trade.price == pytest.approx(110.0)
+
     # Finally we allocate capital back to the parent to be re-deployed
-    parent.allocate( -trade.capital, trade.name )
-    assert trade.value == 0    
+    parent.allocate(-trade.capital, trade.name)
+    assert trade.value == 0
     assert trade.capital == 0
 
-    aae( trade.price, 110.) # Price stays the same even after capital de-allocated
+    assert trade.price == pytest.approx(
+        110.0
+    )  # Price stays the same even after capital de-allocated
     assert parent.value == 1e6 + 10 * 1e3
     assert parent.capital == parent.value
-    assert parent.positions['c1'][ dts[i] ] == 0.
-    assert parent.positions['c2'][ dts[i] ] == 0.
-    
+    assert parent.positions["c1"][dts[i]] == pytest.approx(0.0)
+    assert parent.positions["c2"][dts[i]] == pytest.approx(0.0)
+
     i = 3
-    parent.update( dts[i] )
+    parent.update(dts[i])
     # Just make sure we can update one step beyond closing
-    
+
     assert parent.value == 1e6 + 10 * 1e3
-    
+
     # Note that "trade" is still a child of parent, and it also has children,
     # so it will keep getting updated (and paper trading will still happen).
     assert trade.value == 0
     assert trade.capital == 0
-    assert trade.values[ dts[i] ] == 0.
-    
+    assert trade.values[dts[i]] == pytest.approx(0.0)
+
     # Paper trading price, as asset prices have moved, paper trading price
     # keeps updating. Note that if the flattening of the position was part
-    # of the definition of trade_c1_vs_c2, then the paper trading price 
-    # would be fixed after flattening, as it would apply to both real and paper. 
-    aae( trade.price, 102.) 
-    aae( parent.universe[ trade.name ][ dts[i] ], 102. )
-    
-    
+    # of the definition of trade_c1_vs_c2, then the paper trading price
+    # would be fixed after flattening, as it would apply to both real and paper.
+    assert trade.price == pytest.approx(102.0)
+    assert parent.universe[trade.name][dts[i]] == pytest.approx(102.0)
+
+
 def test_outlays():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 105
-    data['c2'][dts[0]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 105
+    data.loc[dts[0], "c2"] = 95
 
     s.setup(data)
 
@@ -2255,12 +2286,12 @@ def test_outlays():
     c1.allocate(500)
     c2.allocate(500)
 
-    #calling outlays should automatically update the strategy, since stale
+    # calling outlays should automatically update the strategy, since stale
     assert c1.outlays[dts[0]] == (4 * 105)
     assert c2.outlays[dts[0]] == (5 * 95)
 
-    assert c1.data['outlay'][dts[0]] == (4 * 105)
-    assert c2.data['outlay'][dts[0]] == (5 * 95)
+    assert c1.data["outlay"][dts[0]] == (4 * 105)
+    assert c2.data["outlay"][dts[0]] == (5 * 95)
 
     i = 1
     s.update(dts[i], data.loc[dts[i]])
@@ -2272,41 +2303,40 @@ def test_outlays():
     assert c1.outlays[dts[1]] == (-4 * 100)
     assert c2.outlays[dts[1]] == 100
 
-    assert c1.data['outlay'][dts[1]] == (-4 * 100)
-    assert c2.data['outlay'][dts[1]] == 100
+    assert c1.data["outlay"][dts[1]] == (-4 * 100)
+    assert c2.data["outlay"][dts[1]] == 100
 
 
 def test_child_weight_above_1():
     # check for child weights not exceeding 1
-    s = StrategyBase('s')
+    s = StrategyBase("s")
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(np.random.randn(3, 2) + 100,
-                        index=dts, columns=['c1', 'c2'])
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(np.random.randn(3, 2) + 100, index=dts, columns=["c1", "c2"])
     s.setup(data)
 
     i = 0
     s.update(dts[i])
 
     s.adjust(1e6)
-    s.allocate(1e6, 'c1')
-    c1 = s['c1']
+    s.allocate(1e6, "c1")
+    c1 = s["c1"]
 
     assert c1.weight <= 1
 
 
 def test_fixed_commissions():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
     # fixed $1 commission per transaction
     s.set_commissions(lambda q, p: 1)
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.setup(data)
 
@@ -2373,16 +2403,16 @@ def test_fixed_commissions():
 def test_degenerate_shorting():
     # can have situation where you short infinitely if commission/share > share
     # price
-    c1 = SecurityBase('c1')
-    s = StrategyBase('p', [c1])
+    c1 = SecurityBase("c1")
+    s = StrategyBase("p", [c1])
     # $1/share commission
     s.set_commissions(lambda q, p: abs(q) * 1)
 
-    c1 = s['c1']
+    c1 = s["c1"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
+    dts = pd.date_range("2010-01-01", periods=3)
     # c1 trades at 0.01
-    data = pd.DataFrame(index=dts, columns=['c1'], data=0.01)
+    data = pd.DataFrame(index=dts, columns=["c1"], data=0.01)
 
     s.setup(data)
 
@@ -2395,26 +2425,26 @@ def test_degenerate_shorting():
         c1.allocate(-10)
         assert False
     except Exception as e:
-        assert 'full_outlay should always be approaching amount' in str(e)
+        assert "full_outlay should always be approaching amount" in str(e)
 
 
 def test_securitybase_allocate():
-    c1 = SecurityBase('c1')
-    s = StrategyBase('p', [c1])
+    c1 = SecurityBase("c1")
+    s = StrategyBase("p", [c1])
 
-    c1 = s['c1']
+    c1 = s["c1"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1'], data=100.)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1"], data=100.0)
     # set the price
-    data['c1'][dts[0]] = 91.40246706608193
+    data.loc[dts[0], "c1"] = 91.40246706608193
     s.setup(data)
 
     i = 0
     s.update(dts[i], data.loc[dts[i]])
 
     # allocate 100000 to strategy
-    original_capital = 100000.
+    original_capital = 100000.0
     s.adjust(original_capital)
     # not integer positions
     c1.integer_positions = False
@@ -2425,63 +2455,73 @@ def test_securitybase_allocate():
     c1.allocate(amount)
 
     # the results that we want to be true
-    assert np.isclose(full_outlay ,amount,rtol=0.)
+    assert np.isclose(full_outlay, amount, rtol=0.0)
 
     # check that the quantity wasn't decreased and the full_outlay == amount
     # we can get the full_outlay that was calculated by
     # original capital - current capital
-    assert np.isclose(full_outlay, original_capital - s._capital, rtol=0.)
+    assert np.isclose(full_outlay, original_capital - s._capital, rtol=0.0)
 
 
 def test_securitybase_allocate_commisions():
 
-    date_span = pd.date_range(start='10/1/2017', end='10/11/2017', freq='B')
+    date_span = pd.date_range(start="10/1/2017", end="10/11/2017", freq="B")
     numper = len(date_span.values)
     comms = 0.01
 
-    data = [[10, 15, 20, 25, 30, 35, 40, 45],
-            [10, 10, 10, 10, 20, 20, 20, 20],
-            [20, 20, 20, 30, 30, 30, 40, 40],
-            [20, 10, 20, 10, 20, 10, 20, 10]]
+    data = [
+        [10, 15, 20, 25, 30, 35, 40, 45],
+        [10, 10, 10, 10, 20, 20, 20, 20],
+        [20, 20, 20, 30, 30, 30, 40, 40],
+        [20, 10, 20, 10, 20, 10, 20, 10],
+    ]
     data = [[row[i] for row in data] for i in range(len(data[0]))]  # Transpose
     price = pd.DataFrame(data=data, index=date_span)
-    price.columns = ['a', 'b', 'c', 'd']
+    price.columns = ["a", "b", "c", "d"]
     # price = price[['a', 'b']]
 
-    sig1 = pd.DataFrame(price['a'] >= price['b'] + 10, columns=['a'])
-    sig2 = pd.DataFrame(price['a'] < price['b'] + 10, columns=['b'])
+    sig1 = pd.DataFrame(price["a"] >= price["b"] + 10, columns=["a"])
+    sig2 = pd.DataFrame(price["a"] < price["b"] + 10, columns=["b"])
     signal = sig1.join(sig2)
 
     signal1 = price.diff(1) > 0
     signal2 = price.diff(1) < 0
 
     tw = price.copy()
-    tw.loc[:,:] = 0  # Initialize Set everything to 0
+    tw.loc[:, :] = 0  # Initialize Set everything to 0
 
     tw[signal1] = -1.0
     tw[signal2] = 1.0
 
-    s1 = bt.Strategy('long_short', [bt.algos.WeighTarget(tw),
-                                    bt.algos.RunDaily(),
-                                    bt.algos.Rebalance()])
+    s1 = bt.Strategy(
+        "long_short",
+        [bt.algos.WeighTarget(tw), bt.algos.RunDaily(), bt.algos.Rebalance()],
+    )
 
     ####now we create the Backtest , commissions=(lambda q, p: abs(p * q) * comms)
-    t = bt.Backtest(s1, price, initial_capital=1000000, commissions=(lambda q, p: abs(p * q) * comms), progress_bar=False)
+    t = bt.Backtest(
+        s1,
+        price,
+        initial_capital=1000000,
+        commissions=(lambda q, p: abs(p * q) * comms),
+        progress_bar=False,
+    )
 
     ####and let's run it!
     res = bt.run(t)
     ########################
 
+
 def test_strategybase_tree_transact():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.setup(data)
 
@@ -2504,7 +2544,7 @@ def test_strategybase_tree_transact():
     assert c1.value == 500
     assert s.capital == 1000 - 500
     assert s.value == 1000
-    assert c1.weight == 500.0 / 1000
+    assert c1.weight == pytest.approx(500.0 / 1000)
     assert c2.weight == 0
 
     # now transact the parent since weights are nonzero
@@ -2514,19 +2554,19 @@ def test_strategybase_tree_transact():
     assert c1.value == 600
     assert s.capital == 1000 - 600
     assert s.value == 1000
-    assert c1.weight == 600.0 / 1000
+    assert c1.weight == pytest.approx(600.0 / 1000)
     assert c2.weight == 0
 
 
 def test_strategybase_tree_transact_child_from_strategy():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.setup(data)
 
@@ -2543,35 +2583,35 @@ def test_strategybase_tree_transact_child_from_strategy():
     assert c2.value == 0
 
     # now transact in c1
-    s.transact(5, 'c1')
+    s.transact(5, "c1")
 
     assert c1.position == 5
     assert c1.value == 500
     assert s.capital == 1000 - 500
     assert s.value == 1000
-    assert c1.weight == 500.0 / 1000
+    assert c1.weight == pytest.approx(500.0 / 1000)
     assert c2.weight == 0
 
 
 def test_strategybase_tree_transact_level2():
-    c1 = SecurityBase('c1')
+    c1 = SecurityBase("c1")
     c12 = copy.deepcopy(c1)
-    c2 = SecurityBase('c2')
+    c2 = SecurityBase("c2")
     c22 = copy.deepcopy(c2)
-    s1 = StrategyBase('s1', [c1, c2])
-    s2 = StrategyBase('s2', [c12, c22])
-    m = StrategyBase('m', [s1, s2])
+    s1 = StrategyBase("s1", [c1, c2])
+    s2 = StrategyBase("s2", [c12, c22])
+    m = StrategyBase("m", [s1, s2])
 
-    s1 = m['s1']
-    s2 = m['s2']
+    s1 = m["s1"]
+    s2 = m["s2"]
 
-    c1 = s1['c1']
-    c2 = s1['c2']
-    c12 = s2['c1']
-    c22 = s2['c2']
+    c1 = s1["c1"]
+    c2 = s1["c2"]
+    c12 = s2["c1"]
+    c22 = s2["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     m.setup(data)
 
@@ -2606,12 +2646,12 @@ def test_strategybase_tree_transact_level2():
     assert s1.value == 500
     assert s1.capital == 500 - 200
     assert c1.value == 200
-    assert c1.weight == 200.0 / 500
+    assert c1.weight == pytest.approx(200.0 / 500)
     assert c1.position == 2
 
     assert m.capital == 1000 - 500
     assert m.value == 1000
-    assert s1.weight == 500.0 / 1000
+    assert s1.weight == pytest.approx(500.0 / 1000)
     assert s2.weight == 0
 
     assert c12.value == 0
@@ -2622,29 +2662,30 @@ def test_strategybase_tree_transact_level2():
     assert s1.value == 500
     assert s1.capital == 500 - 400
     assert c1.value == 400
-    assert c1.weight == 400.0 / 500
+    assert c1.weight == pytest.approx(400.0 / 500)
     assert c1.position == 4
 
     assert m.capital == 1000 - 500
     assert m.value == 1000
-    assert s1.weight == 500.0 / 1000
+    assert s1.weight == pytest.approx(500.0 / 1000)
     assert s2.weight == 0
 
     assert c12.value == 0
 
+
 def test_strategybase_precision():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    c3 = SecurityBase('c3')
-    s = StrategyBase('p', [c1, c2, c3])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    c3 = SecurityBase("c3")
+    s = StrategyBase("p", [c1, c2, c3])
     s.use_integer_positions(False)
 
-    c1 = s['c1']
-    c2 = s['c2']
-    c3 = s['c3']
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c3 = s["c3"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3'], data=1.)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3"], data=1.0)
 
     s.setup(data)
 
@@ -2652,90 +2693,90 @@ def test_strategybase_precision():
     s.update(dts[i])
 
     s.adjust(1.0)
-    s.rebalance(0.1, 'c1')
-    s.rebalance(0.1, 'c2')
-    s.rebalance(0.1, 'c3')
+    s.rebalance(0.1, "c1")
+    s.rebalance(0.1, "c2")
+    s.rebalance(0.1, "c3")
     s.adjust(-0.7)
 
-    aae( s.capital, 0. )
-    aae( s.value, 0.3 )
-    aae( s.price, 100. )
-
-    assert s.capital != 0 # Due to numerical precision
-    assert s.value != 0.3 # Created non-zero value out of numerical precision errors
-    assert s.price != 100.
+    assert s.capital == pytest.approx(0.0)
+    assert s.value == pytest.approx(0.3)
+    assert s.price == pytest.approx(100.0)
 
+    assert s.capital != 0  # Due to numerical precision
+    assert s.value != 0.3  # Created non-zero value out of numerical precision errors
+    assert s.price != 100.0
 
     # Make sure we can still update and calculate return
-    i=1
+    i = 1
     s.update(dts[i])
 
-    aae( s.price, 100. )
-    aae( s.value, 0.3 )
+    assert s.price == pytest.approx(100.0)
+    assert s.value == pytest.approx(0.3)
 
-    assert s.price != 100.
+    assert s.price != 100.0
     assert s.value != 0.3
 
+
 def test_securitybase_transact():
-    c1 = SecurityBase('c1')
-    s = StrategyBase('p', [c1])
+    c1 = SecurityBase("c1")
+    s = StrategyBase("p", [c1])
 
-    c1 = s['c1']
+    c1 = s["c1"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1'], data=100.)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1"], data=100.0)
     # set the price
     price = 91.40246706608193
-    data['c1'][dts[0]] = 91.40246706608193
+    data.loc[dts[0], "c1"] = 91.40246706608193
     s.setup(data)
 
     i = 0
     s.update(dts[i])
 
     # allocate 100000 to strategy
-    original_capital = 100000.
+    original_capital = 100000.0
     s.adjust(original_capital)
     # not integer positions
     c1.integer_positions = False
     # set the full_outlay and amount
-    q = 1000.
+    q = 1000.0
     amount = q * price
 
     c1.transact(q)
 
-    assert np.isclose( c1.value, amount, rtol=0.)
-    assert np.isclose( c1.weight, amount/original_capital, rtol=0.)
+    assert np.isclose(c1.value, amount, rtol=0.0)
+    assert np.isclose(c1.weight, amount / original_capital, rtol=0.0)
     assert c1.position == q
-    assert np.isclose( c1.outlays[0], amount, rtol=0.)
+    assert np.isclose(c1.outlays.iloc[0], amount, rtol=0.0)
 
-    assert np.isclose( s.capital, (original_capital - amount) )
+    assert np.isclose(s.capital, (original_capital - amount))
     assert s.weight == 1
     assert s.value == original_capital
-    assert np.isclose( s.outlays[c1.name][0], amount, rtol=0.)
+    assert np.isclose(s.outlays[c1.name].iloc[0], amount, rtol=0.0)
 
     # Call again on the same step (and again) to make sure all updates are working
     c1.transact(q)
     c1.transact(q)
-    assert c1.position == 3*q
-    assert np.isclose( c1.outlays[0], 3*amount, rtol=0.)
-    assert np.isclose( c1.value, 3*amount, rtol=0.)
+    assert c1.position == 3 * q
+    assert np.isclose(c1.outlays.iloc[0], 3 * amount, rtol=0.0)
+    assert np.isclose(c1.value, 3 * amount, rtol=0.0)
 
-    assert np.isclose( s.capital, (original_capital - 3*amount) )
+    assert np.isclose(s.capital, (original_capital - 3 * amount))
     assert s.weight == 1
     assert s.value == original_capital
-    assert np.isclose( s.outlays[c1.name][0], 3*amount, rtol=0.)
+    assert np.isclose(s.outlays[c1.name].iloc[0], 3 * amount, rtol=0.0)
 
 
 def test_security_setup_positions():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
 
     s.setup(data)
 
@@ -2744,193 +2785,194 @@ def test_security_setup_positions():
 
     assert c1.position == 0
     assert len(c1.positions) == 1
-    assert c1.positions[0] == 0
+    assert c1.positions.iloc[0] == 0
 
     assert c2.position == 0
     assert len(c2.positions) == 1
-    assert c2.positions[0] == 0
+    assert c2.positions.iloc[0] == 0
 
 
 def test_couponpayingsecurity_setup():
-    c1 = CouponPayingSecurity('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = CouponPayingSecurity("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 105
-    data['c2'][dts[0]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 105
+    data.loc[dts[0], "c2"] = 95
 
-    coupons = pd.DataFrame(index=dts, columns=['c1'], data=0.1)
+    coupons = pd.DataFrame(index=dts, columns=["c1"], data=0.1)
 
-    s.setup(data, coupons = coupons)
+    s.setup(data, coupons=coupons)
 
     i = 0
     s.update(dts[i])
 
-    assert 'coupon' in c1.data
-    assert c1.coupon == 0.0
+    assert "coupon" in c1.data
+    assert c1.coupon == pytest.approx(0.0)
     assert len(c1.coupons) == 1
-    assert c1.coupons[0] == 0.0
-    
-    assert 'holding_cost' in c1.data
-    assert c1.holding_cost == 0.0
+    assert c1.coupons.iloc[0] == pytest.approx(0.0)
+
+    assert "holding_cost" in c1.data
+    assert c1.holding_cost == pytest.approx(0.0)
     assert len(c1.holding_costs) == 1
-    assert c1.holding_costs[0] == 0.0
+    assert c1.holding_costs.iloc[0] == pytest.approx(0.0)
 
     assert c1.price == 105
     assert len(c1.prices) == 1
-    assert c1.prices[0] == 105
+    assert c1.prices.iloc[0] == 105
 
     assert c2.price == 95
     assert len(c2.prices) == 1
-    assert c2.prices[0] == 95
+    assert c2.prices.iloc[0] == 95
 
 
 def test_couponpayingsecurity_setup_costs():
-    c1 = CouponPayingSecurity('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = CouponPayingSecurity("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 105
-    data['c2'][dts[0]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 105
+    data.loc[dts[0], "c2"] = 95
 
-    coupons = pd.DataFrame(index=dts, columns=['c1'], data=0.)
-    cost_long = pd.DataFrame(index=dts, columns=['c1'], data=0.01)
-    cost_short = pd.DataFrame(index=dts, columns=['c1'], data=0.05)
+    coupons = pd.DataFrame(index=dts, columns=["c1"], data=0.0)
+    cost_long = pd.DataFrame(index=dts, columns=["c1"], data=0.01)
+    cost_short = pd.DataFrame(index=dts, columns=["c1"], data=0.05)
 
     s.setup(data, coupons=coupons, cost_long=cost_long, cost_short=cost_short)
 
     i = 0
     s.update(dts[i])
 
-    assert 'coupon' in c1.data
-    assert c1.coupon == 0.0
+    assert "coupon" in c1.data
+    assert c1.coupon == pytest.approx(0.0)
     assert len(c1.coupons) == 1
-    assert c1.coupons[0] == 0.0
-    
-    assert 'holding_cost' in c1.data
-    assert c1.holding_cost == 0.0
+    assert c1.coupons.iloc[0] == pytest.approx(0.0)
+
+    assert "holding_cost" in c1.data
+    assert c1.holding_cost == pytest.approx(0.0)
     assert len(c1.holding_costs) == 1
-    assert c1.holding_costs[0] == 0.0
+    assert c1.holding_costs.iloc[0] == pytest.approx(0.0)
 
     assert c1.price == 105
     assert len(c1.prices) == 1
-    assert c1.prices[0] == 105
+    assert c1.prices.iloc[0] == 105
 
     assert c2.price == 95
     assert len(c2.prices) == 1
-    assert c2.prices[0] == 95
-    
+    assert c2.prices.iloc[0] == 95
+
+
 def test_couponpayingsecurity_carry():
-    c1 = CouponPayingSecurity('c1')
-    s = StrategyBase('p', [c1])
-
-    c1 = s['c1']
-
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1'], data=1.)
-            
-    coupons = pd.DataFrame(index=dts, columns=['c1'], data=0.)
-    coupons['c1'][dts[0]] = 0.1
-    cost_long = pd.DataFrame(index=dts, columns=['c1'], data=0.)
-    cost_long['c1'][dts[0]] = 0.01
-    cost_short = pd.DataFrame(index=dts, columns=['c1'], data=0.05)
-    
+    c1 = CouponPayingSecurity("c1")
+    s = StrategyBase("p", [c1])
+
+    c1 = s["c1"]
+
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1"], data=1.0)
+
+    coupons = pd.DataFrame(index=dts, columns=["c1"], data=0.0)
+    coupons.loc[dts[0], "c1"] = 0.1
+    cost_long = pd.DataFrame(index=dts, columns=["c1"], data=0.0)
+    cost_long.loc[dts[0], "c1"] = 0.01
+    cost_short = pd.DataFrame(index=dts, columns=["c1"], data=0.05)
+
     s.setup(data, coupons=coupons, cost_long=cost_long, cost_short=cost_short)
-    
+
     i = 0
     s.update(dts[i])
 
     # allocate 1000 to strategy
-    original_capital = 1000.
-    s.adjust(original_capital)    
+    original_capital = 1000.0
+    s.adjust(original_capital)
     # set the full_outlay and amount
-    q = 1000.
+    q = 1000.0
     c1.transact(q)
-    
-    assert c1.coupon == 100.
+
+    assert c1.coupon == pytest.approx(100.0)
     assert len(c1.coupons) == 1
-    assert c1.coupons[0] == 100.
-    assert c1.holding_cost == 10.
+    assert c1.coupons.iloc[0] == pytest.approx(100.0)
+    assert c1.holding_cost == pytest.approx(10.0)
     assert len(c1.holding_costs) == 1
-    assert c1.holding_costs[0] == 10.
-    
-    assert s.capital == 0.
-    assert s.cash[0] == 0.
-    
+    assert c1.holding_costs.iloc[0] == pytest.approx(10.0)
+
+    assert s.capital == pytest.approx(0.0)
+    assert s.cash.iloc[0] == pytest.approx(0.0)
+
     # On this step, the coupon/costs will be accounted for from the last holding
     i = 1
     s.update(dts[i])
-    
-    assert c1.coupon == 0.
+
+    assert c1.coupon == pytest.approx(0.0)
     assert len(c1.coupons) == 2
-    assert c1.coupons[1] == 0.
-    assert c1.holding_cost == 0.
+    assert c1.coupons.iloc[1] == pytest.approx(0.0)
+    assert c1.holding_cost == pytest.approx(0.0)
     assert len(c1.holding_costs) == 2
-    assert c1.holding_costs[1] == 0.
-    
-    assert s.capital == 100. - 10.
-    assert s.cash[0] == 0.
-    assert s.cash[1] == 100. - 10.
-    
+    assert c1.holding_costs.iloc[1] == pytest.approx(0.0)
+
+    assert s.capital == pytest.approx(100.0 - 10.0)
+    assert s.cash.iloc[0] == pytest.approx(0.0)
+    assert s.cash.iloc[1] == pytest.approx(100.0 - 10.0)
+
     # Go short q
-    c1.transact( -2*q )
-    # Note cost is positive even though we are short. 
-    assert c1.holding_cost == 50.
+    c1.transact(-2 * q)
+    # Note cost is positive even though we are short.
+    assert c1.holding_cost == pytest.approx(50.0)
     assert len(c1.holding_costs) == 2
-    assert c1.holding_costs[1] == 50.
-    
+    assert c1.holding_costs.iloc[1] == pytest.approx(50.0)
+
 
 def test_couponpayingsecurity_transact():
-    c1 = CouponPayingSecurity('c1')
-    s = StrategyBase('p', [c1])
+    c1 = CouponPayingSecurity("c1")
+    s = StrategyBase("p", [c1])
 
-    c1 = s['c1']
+    c1 = s["c1"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1'], data=100.)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1"], data=100.0)
     # set the price
     price = 91.40246706608193
-    data['c1'][dts[0]] = 91.40246706608193
-    data['c1'][dts[1]] = 91.40246706608193
+    data.loc[dts[0], "c1"] = 91.40246706608193
+    data.loc[dts[1], "c1"] = 91.40246706608193
 
     coupon = 0.1
-    coupons = pd.DataFrame(index=dts, columns=['c1'], data=0.)
-    coupons['c1'][dts[0]] = coupon
+    coupons = pd.DataFrame(index=dts, columns=["c1"], data=0.0)
+    coupons.loc[dts[0], "c1"] = coupon
 
-    s.setup(data, coupons = coupons)
+    s.setup(data, coupons=coupons)
 
     i = 0
     s.update(dts[i])
 
     # allocate 100000 to strategy
-    original_capital = 100000.
+    original_capital = 100000.0
     s.adjust(original_capital)
     # set the full_outlay and amount
-    q = 1000.
+    q = 1000.0
     amount = q * price
     c1.transact(q)
 
     # The coupon is nonzero, but will only be counted in "value" the next day
     assert c1.coupon == coupon * q
     assert len(c1.coupons) == 1
-    assert c1.coupons[0] == coupon * q
+    assert c1.coupons.iloc[0] == coupon * q
 
-    assert np.isclose( c1.value, amount, rtol=0.)
-    assert np.isclose( c1.weight, amount/original_capital, rtol=0.)
+    assert np.isclose(c1.value, amount, rtol=0.0)
+    assert np.isclose(c1.weight, amount / original_capital, rtol=0.0)
     assert c1.position == q
 
     assert s.capital == (original_capital - amount)
-    assert s.cash[0] == (original_capital - amount)
+    assert s.cash.iloc[0] == (original_capital - amount)
     assert s.weight == 1
     assert s.value == original_capital
 
@@ -2942,18 +2984,18 @@ def test_couponpayingsecurity_transact():
     new_capital = original_capital + coupon * q
     assert c1.coupon == 0
     assert len(c1.coupons) == 2
-    assert c1.coupons[0] == coupon * q
-    assert c1.coupons[1] == 0
+    assert c1.coupons.iloc[0] == coupon * q
+    assert c1.coupons.iloc[1] == 0
 
-    assert np.isclose( c1.value, amount, rtol=0.)
-    assert np.isclose( c1.weight, amount/new_capital, rtol=0.)
+    assert np.isclose(c1.value, amount, rtol=0.0)
+    assert np.isclose(c1.weight, amount / new_capital, rtol=0.0)
     assert c1.position == q
 
     assert s.capital == (new_capital - amount)
     assert s.weight == 1
     assert s.value == new_capital
-    assert s.cash[0] == (original_capital - amount)
-    assert s.cash[1] == (new_capital - amount)
+    assert s.cash.iloc[0] == (original_capital - amount)
+    assert s.cash.iloc[1] == (new_capital - amount)
 
     assert c1._capital == 0
 
@@ -2962,38 +3004,38 @@ def test_couponpayingsecurity_transact():
 
     assert c1.coupon == 0
     assert len(c1.coupons) == 2
-    assert c1.coupons[0] == coupon * q
-    assert c1.coupons[1] == 0
+    assert c1.coupons.iloc[0] == coupon * q
+    assert c1.coupons.iloc[1] == 0
 
-    assert np.isclose( c1.value, 0., rtol=0.)
-    assert np.isclose( c1.weight, 0./new_capital, rtol=0.)
+    assert np.isclose(c1.value, 0.0, rtol=0.0)
+    assert np.isclose(c1.weight, 0.0 / new_capital, rtol=0.0)
     assert c1.position == 0
 
     assert s.capital == new_capital
     assert s.weight == 1
     assert s.value == new_capital
-    assert s.cash[0] == (original_capital - amount)
-    assert s.cash[1] == new_capital
+    assert s.cash.iloc[0] == (original_capital - amount)
+    assert s.cash.iloc[1] == new_capital
 
     assert c1._capital == 0
 
 
 def test_bidoffer():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 105
-    data['c2'][dts[0]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 105
+    data.loc[dts[0], "c2"] = 95
 
-    bidoffer = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=1.)
-    bidoffer['c1'][dts[0]] = 2
-    bidoffer['c2'][dts[0]] = 1.5
+    bidoffer = pd.DataFrame(index=dts, columns=["c1", "c2"], data=1.0)
+    bidoffer.loc[dts[0], "c1"] = 2
+    bidoffer.loc[dts[0], "c2"] = 1.5
 
     s.setup(data, bidoffer=bidoffer)
     s.adjust(100000)
@@ -3002,77 +3044,77 @@ def test_bidoffer():
 
     assert c1.bidoffer == 2
     assert len(c1.bidoffers) == 1
-    assert c1.bidoffers[0] == 2
+    assert c1.bidoffers.iloc[0] == 2
 
-    assert c2.bidoffer == 1.5
+    assert c2.bidoffer == pytest.approx(1.5)
     assert len(c2.bidoffers) == 1
-    assert c2.bidoffers[0] == 1.5
+    assert c2.bidoffers.iloc[0] == pytest.approx(1.5)
 
     # Check the outlays are adjusted for bid/offer
-    s.set_commissions( lambda q,p : 0.1 )
+    s.set_commissions(lambda q, p: 0.1)
 
-    total, outlay, fee, bidoffer = c1.outlay( 100 )
+    total, outlay, fee, bidoffer = c1.outlay(100)
     assert bidoffer == 100 * 1
-    assert fee == 0.1
+    assert fee == pytest.approx(0.1)
     assert outlay == 100 * (105 + 1)
     assert total == outlay + fee
 
-    total, outlay, fee, bidoffer = c1.outlay( -100 )
+    total, outlay, fee, bidoffer = c1.outlay(-100)
     assert bidoffer == 100 * 1
-    assert fee == 0.1
+    assert fee == pytest.approx(0.1)
     assert outlay == -100 * (105 - 1)
-    assert total ==  outlay + fee
+    assert total == outlay + fee
 
-    total, outlay, fee, bidoffer = c2.outlay( 100 )
-    assert bidoffer == 100 * 0.75
-    assert fee == 0.1
-    assert outlay == 100 * (95 + 0.75)
+    total, outlay, fee, bidoffer = c2.outlay(100)
+    assert bidoffer == pytest.approx(100 * 0.75)
+    assert fee == pytest.approx(0.1)
+    assert outlay == pytest.approx(100 * (95 + 0.75))
     assert total == outlay + fee
 
-    total, outlay, fee, bidoffer = c2.outlay( -100 )
-    assert bidoffer == 100 * 0.75
-    assert fee == 0.1
-    assert outlay == -100 * (95 - 0.75)
-    assert total ==  outlay + fee
+    total, outlay, fee, bidoffer = c2.outlay(-100)
+    assert bidoffer == pytest.approx(100 * 0.75)
+    assert fee == pytest.approx(0.1)
+    assert outlay == pytest.approx(-100 * (95 - 0.75))
+    assert total == outlay + fee
 
     # Do some transactions, and check that bidoffer_paid is updated
     c1.transact(100)
     assert c1.bidoffer_paid == 100 * 1
-    assert c1.bidoffers_paid[i] == c1.bidoffer_paid
+    assert c1.bidoffers_paid.iloc[i] == c1.bidoffer_paid
     c1.transact(100)
     assert c1.bidoffer_paid == 200 * 1
-    assert c1.bidoffers_paid[i] == c1.bidoffer_paid
+    assert c1.bidoffers_paid.iloc[i] == c1.bidoffer_paid
 
     c2.transact(-100)
-    assert c2.bidoffer_paid == 100 * 0.75
-    assert c2.bidoffers_paid[i] == c2.bidoffer_paid
-    assert s.bidoffer_paid == 100 * 0.75 + 200 * 1
-    assert s.bidoffers_paid[i] == s.bidoffer_paid
+    assert c2.bidoffer_paid == pytest.approx(100 * 0.75)
+    assert c2.bidoffers_paid.iloc[i] == c2.bidoffer_paid
+    assert s.bidoffer_paid == pytest.approx(100 * 0.75 + 200 * 1)
+    assert s.bidoffers_paid.iloc[i] == s.bidoffer_paid
+
+    assert s.fees.iloc[i] == pytest.approx(3 * 0.1)
 
-    assert s.fees.iloc[i] == 3 * 0.1
-    
     i = 1
     s.update(dts[i])
-    assert c1.bidoffer_paid == 0.
-    assert c1.bidoffers_paid[i] == c1.bidoffer_paid
-    assert c2.bidoffer_paid == 0.
-    assert c2.bidoffers_paid[i] == c2.bidoffer_paid
-    assert s.bidoffer_paid == 0.
-    assert s.bidoffers_paid[i] == s.bidoffer_paid
-    assert s.fees[i] == 0.
+    assert c1.bidoffer_paid == pytest.approx(0.0)
+    assert c1.bidoffers_paid.iloc[i] == c1.bidoffer_paid
+    assert c2.bidoffer_paid == pytest.approx(0.0)
+    assert c2.bidoffers_paid.iloc[i] == c2.bidoffer_paid
+    assert s.bidoffer_paid == pytest.approx(0.0)
+    assert s.bidoffers_paid.iloc[i] == s.bidoffer_paid
+    assert s.fees.iloc[i] == pytest.approx(0.0)
 
 
 def test_outlay_custom():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 105
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 105
 
     s.setup(data)
     s.adjust(100000)
@@ -3080,36 +3122,36 @@ def test_outlay_custom():
     s.update(dts[i])
 
     # Check the outlays are adjusted for custom prices
-    s.set_commissions( lambda q,p : 0.1*p )
+    s.set_commissions(lambda q, p: 0.1 * p)
 
-    total, outlay, fee, bidoffer = c1.outlay( 100, 106 )
+    total, outlay, fee, bidoffer = c1.outlay(100, 106)
     assert bidoffer == 100 * 1
-    assert fee == 0.1 * 106
+    assert fee == pytest.approx(0.1 * 106)
     assert outlay == 100 * (106)
     assert total == outlay + fee
 
-    total, outlay, fee, bidoffer = c1.outlay( -100, 106 )
+    total, outlay, fee, bidoffer = c1.outlay(-100, 106)
     assert bidoffer == -100 * 1
-    assert fee == 0.1 * 106
+    assert fee == pytest.approx(0.1 * 106)
     assert outlay == -100 * 106
-    assert total ==  outlay + fee
+    assert total == outlay + fee
 
 
 def test_bidoffer_custom():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = StrategyBase('p', [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = StrategyBase("p", [c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 105
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 105
 
     # Note: In order to access bidoffer_paid,
     # need to pass bidoffer kwarg during setup
-    s.setup(data, bidoffer = {})
+    s.setup(data, bidoffer={})
     s.adjust(100000)
     i = 0
     s.update(dts[i])
@@ -3117,40 +3159,44 @@ def test_bidoffer_custom():
     c1.transact(100, price=106)
     assert c1.bidoffer_paid == 100 * 1
     assert s.bidoffer_paid == c1.bidoffer_paid
-    assert s.capital == 100000 - 100*106
-    assert c1.bidoffers_paid[i] == c1.bidoffer_paid
-    assert s.bidoffers_paid[i] == s.bidoffer_paid
+    assert s.capital == 100000 - 100 * 106
+    assert c1.bidoffers_paid.iloc[i] == c1.bidoffer_paid
+    assert s.bidoffers_paid.iloc[i] == s.bidoffer_paid
 
     c1.transact(100, price=106)
     assert c1.bidoffer_paid == 200 * 1
     assert s.bidoffer_paid == c1.bidoffer_paid
-    assert s.capital == 100000 - 100*106 - 100*106
-    assert c1.bidoffers_paid[i] == c1.bidoffer_paid
-    assert s.bidoffers_paid[i] == s.bidoffer_paid
+    assert s.capital == 100000 - 100 * 106 - 100 * 106
+    assert c1.bidoffers_paid.iloc[i] == c1.bidoffer_paid
+    assert s.bidoffers_paid.iloc[i] == s.bidoffer_paid
 
     c1.transact(-100, price=107)
     assert c1.bidoffer_paid == 0
     assert s.bidoffer_paid == c1.bidoffer_paid
-    assert s.capital == 100000 - 100*106 - 100*106 + 100*107
-    assert c1.bidoffers_paid[i] == c1.bidoffer_paid
-    assert s.bidoffers_paid[i] == s.bidoffer_paid
+    assert s.capital == 100000 - 100 * 106 - 100 * 106 + 100 * 107
+    assert c1.bidoffers_paid.iloc[i] == c1.bidoffer_paid
+    assert s.bidoffers_paid.iloc[i] == s.bidoffer_paid
 
 
 def test_security_notional_value():
-    c1 = SecurityBase('c1')
-    c2 = CouponPayingSecurity('c2')
-    c3 = HedgeSecurity('c3')
-    c4 = CouponPayingHedgeSecurity('c4')
-    c5 = FixedIncomeSecurity('c5')
+    c1 = SecurityBase("c1")
+    c2 = CouponPayingSecurity("c2")
+    c3 = HedgeSecurity("c3")
+    c4 = CouponPayingHedgeSecurity("c4")
+    c5 = FixedIncomeSecurity("c5")
 
-    s = StrategyBase('p', children = [c1, c2, c3, c4, c5])
+    s = StrategyBase("p", children=[c1, c2, c3, c4, c5])
 
-    c1 = s['c1']; c2 = s['c2']; c3 = s['c3']; c4 = s['c4']; c5 = s['c5']
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c3 = s["c3"]
+    c4 = s["c4"]
+    c5 = s["c5"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3', 'c4', 'c5'], data=100.)
-    coupons = pd.DataFrame(index=dts, columns=['c2', 'c4'], data=0.)
-    s.setup(data, coupons = coupons)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3", "c4", "c5"], data=100.0)
+    coupons = pd.DataFrame(index=dts, columns=["c2", "c4"], data=0.0)
+    s.setup(data, coupons=coupons)
 
     i = 0
     s.update(dts[i])
@@ -3160,18 +3206,20 @@ def test_security_notional_value():
     c3.transact(1000)
     c4.transact(1000)
     c5.transact(1000)
-    for c in [ c1, c2, c3, c4, c5 ]:
+    for c in [c1, c2, c3, c4, c5]:
         assert c.position == 1000
         assert c.price == 100
-    assert c1.notional_value == 1000*100.
+    assert c1.notional_value == pytest.approx(1000 * 100.0)
     assert c2.notional_value == 1000
     assert c3.notional_value == 0
     assert c4.notional_value == 0
     assert c5.notional_value == 1000
-    for c in [ c1, c2, c3, c4, c5 ]:
-        assert len( c.notional_values ) == 1
-        assert c.notional_values[ dts[i] ] == c.notional_value
-    assert s.notional_value == 2000 + 1000*100  # Strategy notional value always positive
+    for c in [c1, c2, c3, c4, c5]:
+        assert len(c.notional_values) == 1
+        assert c.notional_values[dts[i]] == c.notional_value
+    assert (
+        s.notional_value == 2000 + 1000 * 100
+    )  # Strategy notional value always positive
 
     i = 1
     s.update(dts[i])
@@ -3181,65 +3229,69 @@ def test_security_notional_value():
     c3.transact(-3000)
     c4.transact(-3000)
     c5.transact(-3000)
-    for c in [ c1, c2, c3, c4, c5 ]:
+    for c in [c1, c2, c3, c4, c5]:
         assert c.position == -2000
         assert c.price == 100
-    assert c1.notional_value == -2000*100.
+    assert c1.notional_value == pytest.approx(-2000 * 100.0)
     assert c2.notional_value == -2000
     assert c3.notional_value == 0
     assert c4.notional_value == 0
     assert c5.notional_value == -2000
-    for c in [ c1, c2, c3, c4, c5 ]:
-        assert len( c.notional_values ) == 2
-        assert c.notional_values[ dts[i] ] == c.notional_value
-    assert s.notional_value == 2000*100 + 4000  # Strategy notional value always positive
+    for c in [c1, c2, c3, c4, c5]:
+        assert len(c.notional_values) == 2
+        assert c.notional_values[dts[i]] == c.notional_value
+    assert (
+        s.notional_value == 2000 * 100 + 4000
+    )  # Strategy notional value always positive
 
 
 # FixedIncomeStrategy Tests
 
+
 def test_fi_strategy_flag():
-    s1 = SecurityBase('s1')
-    s2 = SecurityBase('s2')
-    s = StrategyBase('p', children = [s1, s2])
+    s1 = SecurityBase("s1")
+    s2 = SecurityBase("s2")
+    s = StrategyBase("p", children=[s1, s2])
     assert s.fixed_income == False
 
-    s = FixedIncomeStrategy('p', [s1, s2])
+    s = FixedIncomeStrategy("p", [s1, s2])
     assert s.fixed_income == True
 
+
 def test_fi_strategy_no_bankruptcy():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = FixedIncomeStrategy('p', children = [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = FixedIncomeStrategy("p", children=[c1, c2])
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
     i = 0
     s.update(dts[i], data.loc[dts[i]])
-    s.transact( 10, 'c2')
-    assert s.value == 0.
-    assert s.capital == -10*100
+    s.transact(10, "c2")
+    assert s.value == pytest.approx(0.0)
+    assert s.capital == -10 * 100
 
     i = 1
     s.update(dts[i], data.loc[dts[i]])
-    assert s.value == -5*10
-    assert s.capital == -10*100
+    assert s.value == -5 * 10
+    assert s.capital == -10 * 100
     assert s.bankrupt == False
 
 
 def test_fi_strategy_tree_adjust():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = FixedIncomeStrategy('p', children = [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = FixedIncomeStrategy("p", children=[c1, c2])
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -3261,18 +3313,19 @@ def test_fi_strategy_tree_adjust():
     assert s.capital == -1000
     assert s.value == -1000
 
+
 def test_fi_strategy_tree_update():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = FixedIncomeStrategy('p', children = [c1, c2])
-    c1 = s['c1']
-    c2 = s['c2']
-
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = -5 # Test negative prices
-    data['c2'][dts[2]] = 0 # Test zero price
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = FixedIncomeStrategy("p", children=[c1, c2])
+    c1 = s["c1"]
+    c2 = s["c2"]
+
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = -5  # Test negative prices
+    data.loc[dts[2], "c2"] = 0  # Test zero price
 
     s.setup(data)
 
@@ -3296,17 +3349,17 @@ def test_fi_strategy_tree_update():
 
 
 def test_fi_strategy_tree_allocate():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = FixedIncomeStrategy('p', children = [c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = FixedIncomeStrategy("p", children=[c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -3330,22 +3383,22 @@ def test_fi_strategy_tree_allocate():
     assert c1.notional_value == 500
     assert s.capital == 1000 - 500
     assert s.value == 1000
-    assert s.notional_value == 500 # Capital does not count towards notl
-    assert c1.weight == 1.
+    assert s.notional_value == 500  # Capital does not count towards notl
+    assert c1.weight == pytest.approx(1.0)
     assert c2.weight == 0
 
 
 def test_fi_strategy_tree_allocate_child_from_strategy():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = FixedIncomeStrategy('p', children = [c1, c2])
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = FixedIncomeStrategy("p", children=[c1, c2])
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[1]] = 105
-    data['c2'][dts[1]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[1], "c1"] = 105
+    data.loc[dts[1], "c2"] = 95
 
     s.setup(data)
 
@@ -3362,36 +3415,39 @@ def test_fi_strategy_tree_allocate_child_from_strategy():
     assert c2.value == 0
 
     # now allocate to c1
-    s.allocate(500, 'c1')
+    s.allocate(500, "c1")
 
     assert c1.position == 5
     assert c1.value == 500
     assert s.capital == 1000 - 500
     assert s.value == 1000
-    assert c1.weight == 1.0
+    assert c1.weight == pytest.approx(1.0)
     assert c2.weight == 0
 
 
 def test_fi_strategy_close():
-    c1 = SecurityBase('c1')
-    c2 = CouponPayingSecurity('c2')
-    c3 = HedgeSecurity('c3')
-    c4 = CouponPayingHedgeSecurity('c4')
+    c1 = SecurityBase("c1")
+    c2 = CouponPayingSecurity("c2")
+    c3 = HedgeSecurity("c3")
+    c4 = CouponPayingHedgeSecurity("c4")
 
-    s = FixedIncomeStrategy('p', children = [c1, c2, c3, c4])
+    s = FixedIncomeStrategy("p", children=[c1, c2, c3, c4])
 
-    c1 = s['c1']; c2 = s['c2']; c3 = s['c3']; c4 = s['c4']
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c3 = s["c3"]
+    c4 = s["c4"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
+    dts = pd.date_range("2010-01-01", periods=3)
     # Price
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3', 'c4'], data=100.)
-    coupons = pd.DataFrame(index=dts, columns=['c2', 'c4'], data=0.)
-    s.setup(data, coupons = coupons)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3", "c4"], data=100.0)
+    coupons = pd.DataFrame(index=dts, columns=["c2", "c4"], data=0.0)
+    s.setup(data, coupons=coupons)
 
     i = 0
     s.update(dts[i])
 
-    for c in [ c1, c2, c3, c4 ]:
+    for c in [c1, c2, c3, c4]:
         s.transact(10, c.name)
 
         assert c.position == 10
@@ -3399,7 +3455,7 @@ def test_fi_strategy_close():
         assert s.capital == -1000
         assert s.value == 0
 
-        s.close( c.name )
+        s.close(c.name)
 
         assert c.position == 0
         assert c.value == 0
@@ -3412,7 +3468,7 @@ def test_fi_strategy_close():
         assert s.capital == 1000
         assert s.value == 0
 
-        s.close( c.name )
+        s.close(c.name)
 
         assert c.position == 0
         assert c.value == 0
@@ -3421,90 +3477,96 @@ def test_fi_strategy_close():
 
 
 def test_fi_strategy_close_zero_price():
-    c1 = SecurityBase('c1')
-    c2 = CouponPayingSecurity('c2')
-    c3 = HedgeSecurity('c3')
-    c4 = CouponPayingHedgeSecurity('c4')
+    c1 = SecurityBase("c1")
+    c2 = CouponPayingSecurity("c2")
+    c3 = HedgeSecurity("c3")
+    c4 = CouponPayingHedgeSecurity("c4")
 
-    s = FixedIncomeStrategy('p', children = [c1, c2, c3, c4])
+    s = FixedIncomeStrategy("p", children=[c1, c2, c3, c4])
 
-    c1 = s['c1']; c2 = s['c2']; c3 = s['c3']; c4 = s['c4']
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c3 = s["c3"]
+    c4 = s["c4"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
+    dts = pd.date_range("2010-01-01", periods=3)
     # Zero prices are OK in fixed income space (i.e. swaps)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3', 'c4'], data=0.)
-    coupons = pd.DataFrame(index=dts, columns=['c2', 'c4'], data=0.)
-    s.setup(data, coupons = coupons)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3", "c4"], data=0.0)
+    coupons = pd.DataFrame(index=dts, columns=["c2", "c4"], data=0.0)
+    s.setup(data, coupons=coupons)
 
     i = 0
     s.update(dts[i])
 
-    for c in [ c1, c2, c3, c4 ]:
+    for c in [c1, c2, c3, c4]:
         s.transact(10, c.name)
         assert c.position == 10
         assert c.value == 0
-        s.close( c.name )
+        s.close(c.name)
         assert c.position == 0
         assert c.value == 0
 
         s.transact(-10, c.name)
         assert c.position == -10
         assert c.value == 0
-        s.close( c.name )
+        s.close(c.name)
         assert c.position == 0
         assert c.value == 0
 
 
 def test_fi_strategy_flatten():
-    c1 = SecurityBase('c1')
-    c2 = CouponPayingSecurity('c2')
-    c3 = HedgeSecurity('c3')
-    c4 = CouponPayingHedgeSecurity('c4')
+    c1 = SecurityBase("c1")
+    c2 = CouponPayingSecurity("c2")
+    c3 = HedgeSecurity("c3")
+    c4 = CouponPayingHedgeSecurity("c4")
 
-    s = FixedIncomeStrategy('p', children = [c1, c2, c3, c4])
+    s = FixedIncomeStrategy("p", children=[c1, c2, c3, c4])
 
-    c1 = s['c1']; c2 = s['c2']; c3 = s['c3']; c4 = s['c4']
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c3 = s["c3"]
+    c4 = s["c4"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3', 'c4'], data=100.)
-    coupons = pd.DataFrame(index=dts, columns=['c2', 'c4'], data=0.)
-    s.setup(data, coupons = coupons)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3", "c4"], data=100.0)
+    coupons = pd.DataFrame(index=dts, columns=["c2", "c4"], data=0.0)
+    s.setup(data, coupons=coupons)
 
     i = 0
     s.update(dts[i])
 
-    for c in [ c1, c2, c3, c4 ]:
+    for c in [c1, c2, c3, c4]:
         s.transact(10, c.name)
 
-    for c in [ c1, c2, c3, c4 ]:
+    for c in [c1, c2, c3, c4]:
         assert c.position == 10
         assert c.value == 1000
 
     s.flatten()
 
-    for c in [ c1, c2, c3, c4 ]:
+    for c in [c1, c2, c3, c4]:
         assert c.position == 0
         assert c.value == 0
 
 
 def test_fi_strategy_prices():
-    c1 = CouponPayingSecurity('c1')
-    s = FixedIncomeStrategy('s', children = [c1] )
-    c1 = s['c1']
+    c1 = CouponPayingSecurity("c1")
+    s = FixedIncomeStrategy("s", children=[c1])
+    c1 = s["c1"]
 
-    dts = pd.date_range('2010-01-01', periods=4)
+    dts = pd.date_range("2010-01-01", periods=4)
     rawd = [2, -3, 0, 1]
-    data = pd.DataFrame(index=dts, data=rawd, columns=['c1'])
+    data = pd.DataFrame(index=dts, data=rawd, columns=["c1"])
 
-    coupons = pd.DataFrame(index=dts, columns=['c1'], data=[1,2,3,4])
-    s.setup(data, coupons = coupons)
+    coupons = pd.DataFrame(index=dts, columns=["c1"], data=[1, 2, 3, 4])
+    s.setup(data, coupons=coupons)
 
     i = 0
     s.update(dts[i])
 
-    s.transact( 10, 'c1')
-    assert c1.coupon == 10*1
-    assert s.capital == -10*2
+    s.transact(10, "c1")
+    assert c1.coupon == 10 * 1
+    assert s.capital == -10 * 2
     assert s.value == 0
     assert len(s.children) == 1
     assert s.price == 100
@@ -3512,58 +3574,58 @@ def test_fi_strategy_prices():
     last_coupon = c1.coupon
     last_value = s.value
     last_notional_value = s.notional_value
-    last_price = 100.
+    last_price = 100.0
 
-    i=1
+    i = 1
     s.update(dts[i])
     cpn = last_coupon
-    assert c1.coupon == 10*2
-    assert s.capital == -10*2 + cpn
-    assert s.value == -5*10 + cpn # MTM + coupon
+    assert c1.coupon == 10 * 2
+    assert s.capital == -10 * 2 + cpn
+    assert s.value == -5 * 10 + cpn  # MTM + coupon
     assert s.notional_value == 10
-    assert s.price == last_price + 100 * (s.value-last_value)/last_notional_value
+    assert s.price == last_price + 100 * (s.value - last_value) / last_notional_value
     last_value = s.value
     last_notional_value = s.notional_value
     last_price = s.price
     last_coupon = c1.coupon
 
-    i=2
+    i = 2
     s.update(dts[i])
     cpn += last_coupon
-    assert c1.coupon == 10*3
-    assert s.capital == -10*2 + cpn
-    assert s.value == -2*10 + cpn # MTM + coupon
+    assert c1.coupon == 10 * 3
+    assert s.capital == -10 * 2 + cpn
+    assert s.value == -2 * 10 + cpn  # MTM + coupon
     assert s.notional_value == 10
-    assert s.price == last_price +  100 * (s.value - last_value)/last_notional_value
+    assert s.price == last_price + 100 * (s.value - last_value) / last_notional_value
     last_value = s.value
     last_notional_value = s.notional_value
     last_price = s.price
     last_coupon = c1.coupon
 
-    i=3
+    i = 3
     s.update(dts[i])
-    s.transact( 10, 'c1')
+    s.transact(10, "c1")
     # Coupon still from previous period - not affected by new transaction
     cpn += last_coupon
-    assert c1.coupon == 20*4
-    assert s.capital == -10*2 -10*1 + cpn
-    assert s.value == -1*10 + 0 + cpn # MTM + coupon
+    assert c1.coupon == 20 * 4
+    assert s.capital == -10 * 2 - 10 * 1 + cpn
+    assert s.value == -1 * 10 + 0 + cpn  # MTM + coupon
     assert s.notional_value == 20
-    assert s.price == last_price +  100 * (s.value - last_value)/last_notional_value
+    assert s.price == last_price + 100 * (s.value - last_value) / last_notional_value
 
 
 def test_fi_fail_if_0_base_in_return_calc():
-    c1 = HedgeSecurity('c1')
-    s = FixedIncomeStrategy('s', children = [c1] )
-    c1 = s['c1']
+    c1 = HedgeSecurity("c1")
+    s = FixedIncomeStrategy("s", children=[c1])
+    c1 = s["c1"]
 
-    dts = pd.date_range('2010-01-01', periods=4)
+    dts = pd.date_range("2010-01-01", periods=4)
     rawd = [2, -3, 0, 1]
-    data = pd.DataFrame(index=dts, data=rawd, columns=['c1'])
+    data = pd.DataFrame(index=dts, data=rawd, columns=["c1"])
 
     s.setup(data)
 
-    i=0
+    i = 0
     s.update(dts[i])
 
     assert s.notional_value == 0
@@ -3574,24 +3636,27 @@ def test_fi_fail_if_0_base_in_return_calc():
     try:
         s.update(dts[i])
     except ZeroDivisionError as e:
-        if 'Could not update' not in str(e):
+        if "Could not update" not in str(e):
             assert False
 
 
 def test_fi_strategy_tree_rebalance():
-    c1 = SecurityBase('c1')
-    c2 = CouponPayingSecurity('c2')
-    c3 = HedgeSecurity('c3')
-    c4 = CouponPayingHedgeSecurity('c4')
+    c1 = SecurityBase("c1")
+    c2 = CouponPayingSecurity("c2")
+    c3 = HedgeSecurity("c3")
+    c4 = CouponPayingHedgeSecurity("c4")
 
-    s = FixedIncomeStrategy('p', children = [c1, c2, c3, c4])
+    s = FixedIncomeStrategy("p", children=[c1, c2, c3, c4])
 
-    c1 = s['c1']; c2 = s['c2']; c3 = s['c3']; c4 = s['c4']
+    c1 = s["c1"]
+    c2 = s["c2"]
+    c3 = s["c3"]
+    c4 = s["c4"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2', 'c3', 'c4'], data=50.)
-    coupons = pd.DataFrame(index=dts, columns=['c2', 'c4'], data=0.)
-    s.setup(data, coupons = coupons)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2", "c3", "c4"], data=50.0)
+    coupons = pd.DataFrame(index=dts, columns=["c2", "c4"], data=0.0)
+    s.setup(data, coupons=coupons)
 
     i = 0
     s.update(dts[i], data.loc[dts[i]])
@@ -3602,7 +3667,7 @@ def test_fi_strategy_tree_rebalance():
     assert c2.value == 0
 
     # now rebalance c1
-    s.rebalance(0.5, 'c1', base = 1000)
+    s.rebalance(0.5, "c1", base=1000)
 
     assert c1.position == 10
     assert c1.value == 500
@@ -3610,14 +3675,14 @@ def test_fi_strategy_tree_rebalance():
     assert s.capital == -500
     assert s.value == 0
     assert s.notional_value == 500
-    assert c1.weight == 1.0
+    assert c1.weight == pytest.approx(1.0)
     assert c2.weight == 0
 
     assert c2.notional_value == 0
 
     # Now rebalance to s2, with no base weight.
     # It takes base weight from strategy weight (500)
-    s.rebalance(0.5, 'c2')
+    s.rebalance(0.5, "c2")
     assert c1.position == 10
     assert c1.notional_value == 500
     assert c2.position == 250
@@ -3625,19 +3690,19 @@ def test_fi_strategy_tree_rebalance():
 
     assert s.notional_value == c1.notional_value + c2.notional_value
 
-    assert c1.weight == 2./3.
-    assert c2.weight == 1./3.
+    assert c1.weight == pytest.approx(2.0 / 3.0)
+    assert c2.weight == pytest.approx(1.0 / 3.0)
 
     assert s.value == 0
 
     i = 1
     s.update(dts[i], data.loc[dts[i]])
     # Now rebalance to a new, higher base with given target weights (including negative)
-    s.rebalance(0.5, 'c1', 1000, update=False)
-    s.rebalance(-0.5, 'c2', 1000)
+    s.rebalance(0.5, "c1", 1000, update=False)
+    s.rebalance(-0.5, "c2", 1000)
 
-    assert c1.weight == 0.5
-    assert c2.weight == -0.5
+    assert c1.weight == pytest.approx(0.5)
+    assert c2.weight == pytest.approx(-0.5)
     assert c1.position == 10
     assert c1.notional_value == 500
     assert c2.position == -500
@@ -3645,69 +3710,69 @@ def test_fi_strategy_tree_rebalance():
 
 
 def test_fi_strategy_tree_rebalance_nested():
-    c1 = CouponPayingSecurity('c1')
-    c2 = CouponPayingSecurity('c2')
+    c1 = CouponPayingSecurity("c1")
+    c2 = CouponPayingSecurity("c2")
 
-    s1 = FixedIncomeStrategy('s1', children = [c1, c2])
-    s2 = FixedIncomeStrategy('s2', children = [c1, c2])
-    s = FixedIncomeStrategy('s', children = [s1, s2])
-    p = FixedIncomeStrategy('p', children = [c1, c2])
+    s1 = FixedIncomeStrategy("s1", children=[c1, c2])
+    s2 = FixedIncomeStrategy("s2", children=[c1, c2])
+    s = FixedIncomeStrategy("s", children=[s1, s2])
+    p = FixedIncomeStrategy("p", children=[c1, c2])
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=50.)
-    coupons = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=0.)
-    s.setup(data, coupons = coupons)
-    p.setup(data, coupons = coupons)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=50.0)
+    coupons = pd.DataFrame(index=dts, columns=["c1", "c2"], data=0.0)
+    s.setup(data, coupons=coupons)
+    p.setup(data, coupons=coupons)
 
     i = 0
     s.update(dts[i])
     p.update(dts[i])
 
-    s['s1'].transact( 100, 'c1')
-    s['s2'].transact( 100, 'c2')
-    p.transact( 100, 'c1')
-    p.transact( 100, 'c2')
-
-    assert s['s1']['c1'].position == 100
-    assert s['s2']['c2'].position == 100
-    assert p['c1'].position == 100
-    assert p['c2'].position == 100
-    s.update(dts[i]) # Force update to be safe
-    
+    s["s1"].transact(100, "c1")
+    s["s2"].transact(100, "c2")
+    p.transact(100, "c1")
+    p.transact(100, "c2")
+
+    assert s["s1"]["c1"].position == 100
+    assert s["s2"]["c2"].position == 100
+    assert p["c1"].position == 100
+    assert p["c2"].position == 100
+    s.update(dts[i])  # Force update to be safe
+
     base = s.notional_value
-    s.rebalance(0.5, 's1', base*10, update=False)
-    s.rebalance(-0.5, 's2', base*10)
-    p.rebalance(5, 'c1', update=False )
-    p.rebalance(-5, 'c2' )
-
-    s.update(dts[i]) # Force update to be safe
-    assert s['s1']['c1'].position == 1000
-    assert s['s2']['c2'].position == -1000
-    assert s['s1']['c1'].weight == 1.        
-    assert s['s2']['c2'].weight == -1
-    assert p['c1'].position == 1000
-    assert p['c2'].position == -1000
-    
+    s.rebalance(0.5, "s1", base * 10, update=False)
+    s.rebalance(-0.5, "s2", base * 10)
+    p.rebalance(5, "c1", update=False)
+    p.rebalance(-5, "c2")
+
+    s.update(dts[i])  # Force update to be safe
+    assert s["s1"]["c1"].position == 1000
+    assert s["s2"]["c2"].position == -1000
+    assert s["s1"]["c1"].weight == pytest.approx(1.0)
+    assert s["s2"]["c2"].weight == -1
+    assert p["c1"].position == 1000
+    assert p["c2"].position == -1000
+
     # Note that even though the security weights are signed,
     # the strategy weights are all positive (and hence not equal)
     # to the weight passed in to the rebalance call
-    assert s['s1'].weight == 0.5
-    assert s['s2'].weight == 0.5
+    assert s["s1"].weight == pytest.approx(0.5)
+    assert s["s2"].weight == pytest.approx(0.5)
 
-    assert s.value == 0.
-    assert p.value == 0.
+    assert s.value == pytest.approx(0.0)
+    assert p.value == pytest.approx(0.0)
     assert s.capital == 0
     assert p.capital == 0
 
 
 def test_fi_strategy_precision():
     N = 100
-    children = [ SecurityBase('c%i' %i ) for i in range(N) ]
-    s = FixedIncomeStrategy('p', children = children)
-    children = [ s[ c.name ] for c in children ]
+    children = [SecurityBase("c%i" % i) for i in range(N)]
+    s = FixedIncomeStrategy("p", children=children)
+    children = [s[c.name] for c in children]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=[c.name for c in children], data=1.)
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=[c.name for c in children], data=1.0)
 
     s.setup(data)
 
@@ -3718,12 +3783,12 @@ def test_fi_strategy_precision():
         c.transact(0.1)
 
     # Even within tolerance, value is nonzero
-    aae( s.value, 0, 14)
-    assert not is_zero( s.value )
+    assert s.value == pytest.approx(0, 14)
+    assert not is_zero(s.value)
     # Notional value not quite equal to N * 0.1
-    assert s.notional_value == sum( 0.1 for _ in range(N) )
-    assert s.notional_value != N*0.1
-    assert s.price == 100.
+    assert s.notional_value == pytest.approx(sum(0.1 for _ in range(N)))
+    assert s.notional_value != N * 0.1
+    assert s.price == pytest.approx(100.0)
 
     old_value = s.value
     old_notional_value = s.notional_value
@@ -3731,76 +3796,186 @@ def test_fi_strategy_precision():
     # Still make sure we can update - PNL nonzero, and last notional value is zero
     i = 1
     s.update(dts[i])
-    assert s.price == 100.
+    assert s.price == pytest.approx(100.0)
     # Even within tolerance, value is nonzero
     assert s.value == old_value
     assert s.notional_value == old_notional_value
 
-
     # The weights also have numerical precision issues
-    aae( children[0].weight, 1/float(N), 16)
-    assert children[0].weight != 1/float(N)
+    assert children[0].weight == pytest.approx(1 / float(N), 16)
+    assert children[0].weight != 1 / float(N)
 
     # Now rebalance "out" of an asset with the almost zero weight
-    new_weight = children[0].weight - 1/float(N)
-    s.rebalance( new_weight, children[0].name )
+    new_weight = children[0].weight - 1 / float(N)
+    s.rebalance(new_weight, children[0].name)
 
     # Check that the position is still closed completely
     assert children[0].position == 0
 
 
 def test_fi_strategy_bidoffer():
-    c1 = SecurityBase('c1')
-    c2 = SecurityBase('c2')
-    s = FixedIncomeStrategy('p', children=[c1, c2])
+    c1 = SecurityBase("c1")
+    c2 = SecurityBase("c2")
+    s = FixedIncomeStrategy("p", children=[c1, c2])
 
-    c1 = s['c1']
-    c2 = s['c2']
+    c1 = s["c1"]
+    c2 = s["c2"]
 
-    dts = pd.date_range('2010-01-01', periods=3)
-    data = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=100)
-    data['c1'][dts[0]] = 105
-    data['c2'][dts[0]] = 95
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+    data.loc[dts[0], "c1"] = 105
+    data.loc[dts[0], "c2"] = 95
 
-    bidoffer = pd.DataFrame(index=dts, columns=['c1', 'c2'], data=1.)
-    bidoffer['c1'][dts[0]] = 2
-    bidoffer['c2'][dts[0]] = 1.5
+    bidoffer = pd.DataFrame(index=dts, columns=["c1", "c2"], data=1.0)
+    bidoffer.loc[dts[0], "c1"] = 2
+    bidoffer.loc[dts[0], "c2"] = 1.5
 
     s.setup(data, bidoffer=bidoffer)
     i = 0
     s.update(dts[i])
-    assert s.value == 0.
-    assert s.price == 100.
+    assert s.value == pytest.approx(0.0)
+    assert s.price == pytest.approx(100.0)
 
     # Do some transactions, and check that bidoffer_paid is updated
     c1.transact(100)
     assert c1.bidoffer_paid == 100 * 1
-    assert c1.bidoffers_paid[i] == c1.bidoffer_paid
+    assert c1.bidoffers_paid.iloc[i] == c1.bidoffer_paid
     c1.transact(100)
     assert c1.bidoffer_paid == 200 * 1
-    assert c1.bidoffers_paid[i] == c1.bidoffer_paid
+    assert c1.bidoffers_paid.iloc[i] == c1.bidoffer_paid
 
     c2.transact(-100)
-    assert c2.bidoffer_paid == 100 * 0.75
-    assert c2.bidoffers_paid[i] == c2.bidoffer_paid
+    assert c2.bidoffer_paid == pytest.approx(100 * 0.75)
+    assert c2.bidoffers_paid.iloc[i] == c2.bidoffer_paid
 
     s.update(dts[i])
-    assert s.bidoffer_paid == 275.
-    assert s.bidoffers_paid[i] == s.bidoffer_paid
-    assert s.value == -275.
-    assert s.notional_value == 105*200 + 95*100
-    assert s.price == 100 * (1. - 275. / (105*200 + 95*100))
+    assert s.bidoffer_paid == pytest.approx(275.0)
+    assert s.bidoffers_paid.iloc[i] == s.bidoffer_paid
+    assert s.value == pytest.approx(-275.0)
+    assert s.notional_value == 105 * 200 + 95 * 100
+    assert s.price == pytest.approx(100 * (1.0 - 275.0 / (105 * 200 + 95 * 100)))
 
     old_notional = s.notional_value
     old_value = s.value
     old_price = s.price
 
-    i=1
+    i = 1
     s.update(dts[i])
-    assert s.bidoffer_paid == 0.
-    assert s.bidoffers_paid[i] == s.bidoffer_paid
-    assert s.value == -275. - 200*5 - 100*5 # Bid-offer paid
-    assert s.notional_value == 100*200 + 100*100
+    assert s.bidoffer_paid == pytest.approx(0.0)
+    assert s.bidoffers_paid.iloc[i] == s.bidoffer_paid
+    assert s.value == pytest.approx(-275.0 - 200 * 5 - 100 * 5)  # Bid-offer paid
+    assert s.notional_value == 100 * 200 + 100 * 100
     new_value = s.value
-    assert s.price == old_price + 100 * ( new_value-old_value) / old_notional
-    
+    assert s.price == old_price + 100 * (new_value - old_value) / old_notional
+
+
+def test_strategy_combined_universe_regression():
+    """This test checks for regressions with children strategies of a parent strategy,
+    and how those related to underlying securities"""
+    child_strategy1 = Strategy(
+        "child_strategy1",
+        [
+            bt.algos.RunOnce(),
+            bt.algos.SelectAll(),
+            bt.algos.WeighEqually(),
+            bt.algos.Rebalance(),
+        ],
+    )
+
+    child_strategy2 = Strategy(
+        "child_strategy2",
+        [
+            bt.algos.RunOnce(),
+            bt.algos.SelectAll(),
+            bt.algos.WeighEqually(),
+            bt.algos.Rebalance(),
+        ],
+    )
+
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+
+    tests = [
+        bt.Backtest(child_strategy1, data),
+        bt.Backtest(child_strategy2, data),
+    ]
+
+    parent_strategy = bt.Strategy(
+        "parent_strategy",
+        [
+            bt.algos.RunOnce(),
+            bt.algos.SelectAll(),
+            bt.algos.WeighEqually(),
+            bt.algos.Rebalance(),
+        ],
+        children=[x.strategy for x in tests],
+    )
+    test = bt.Backtest(parent_strategy, data)
+    result = bt.run(test)
+    weights = result.get_security_weights()
+
+    assert result["parent_strategy"]
+    assert list(parent_strategy.children.keys()) == [
+        "child_strategy1",
+        "child_strategy2",
+    ]
+
+
+def test_strategy_combined_universe_regression_backtest_run_first():
+    """This test checks for regressions with children strategies of a parent strategy,
+    and how those related to underlying securities"""
+    child_strategy1 = Strategy(
+        "child_strategy1",
+        [
+            bt.algos.RunOnce(),
+            bt.algos.SelectAll(),
+            bt.algos.WeighEqually(),
+            bt.algos.Rebalance(),
+        ],
+    )
+
+    child_strategy2 = Strategy(
+        "child_strategy2",
+        [
+            bt.algos.RunOnce(),
+            bt.algos.SelectAll(),
+            bt.algos.WeighEqually(),
+            bt.algos.Rebalance(),
+        ],
+    )
+
+    dts = pd.date_range("2010-01-01", periods=3)
+    data = pd.DataFrame(index=dts, columns=["c1", "c2"], data=100)
+
+    tests = [
+        bt.Backtest(child_strategy1, data),
+        bt.Backtest(child_strategy2, data),
+    ]
+
+    results = []
+    for test in tests:
+        results.append(bt.run(test))
+
+    merged_prices_df = bt.merge(results[0].prices, results[1].prices)
+
+    parent_strategy = bt.Strategy(
+        "parent_strategy",
+        [
+            bt.algos.RunOnce(),
+            bt.algos.SelectAll(),
+            bt.algos.WeighEqually(),
+            bt.algos.Rebalance(),
+        ],
+        children=[x.strategy for x in tests],
+    )
+    test = bt.Backtest(parent_strategy, merged_prices_df)
+    result = bt.run(test)
+    weights = result.get_security_weights()
+
+    assert result["parent_strategy"]
+    assert list(parent_strategy.children.keys()) == [
+        "child_strategy1",
+        "child_strategy2",
+    ]
+    result_obj = result["parent_strategy"]
+    assert len(weights.columns) == 2