From e73b264ca7e80039daa84c6bc1cc87c80f639bdc Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Mon, 29 Apr 2024 17:59:33 -0700 Subject: [PATCH 01/32] reimplement global dictionary as class and remove _check_transform_valid due to use of switch statement in class constructor --- src/distrx/first_order_delta.py | 9 +++++ src/distrx/transforms.py | 69 ++++++++++++++++++--------------- 2 files changed, 46 insertions(+), 32 deletions(-) create mode 100644 src/distrx/first_order_delta.py diff --git a/src/distrx/first_order_delta.py b/src/distrx/first_order_delta.py new file mode 100644 index 0000000..c9ec58a --- /dev/null +++ b/src/distrx/first_order_delta.py @@ -0,0 +1,9 @@ +from typing import Tuple +import warnings + +import numpy as np +import numpy.typing as npt + +def log(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: + mu_trans = np.log(mu) + sigma_trans = sigma * (1.0 / sigma) \ No newline at end of file diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index bae43f0..e4d0551 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -16,21 +16,41 @@ import numpy.typing as npt -TRANSFORM_DICT = { - 'log': [ - np.log, - lambda x: 1.0/x - ], 'logit': [ - lambda x: np.log(x/(1.0 - x)), - lambda x: 1.0/(x*(1.0 - x)) - ], 'exp': [ - np.exp, - np.exp - ], 'expit': [ - lambda x: 1.0/(1.0 + np.exp(-x)), - lambda x: np.exp(-x)/(1.0 + np.exp(-x))**2 - ] -} +class FirstOrder: + def __init__(self, transform: str, mu: npt.ArrayLike, sigma: npt.ArrayLike) -> None: + # self.transforms = ["log", "logit", "exp", "expit"] + self.transform = input(transform) + match self.transform: + case "log": + self.mu_trans, self.sigma_trans = self.log_trans(mu, sigma) + case "logit": + self.mu_trans, self.sigma_trans = self.logit_trans(mu, sigma) + case "exp": + self.mu_trans, self.sigma_trans = self.exp_trans(mu, sigma) + case "expit": + self.mu_trans, self.sigma_trans = self.expit_trans(mu, sigma) + case _: + raise ValueError(f"Invalid transform '{transform}'.") + + def log_trans(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: + return np.log(mu), sigma / mu + + def logit_trans(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: + return np.log(mu / (1.0 - mu)), sigma / (mu * (1.0 - mu)) + + def exp_trans(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: + return np.exp(mu), np.exp(mu) + + def expit_trans(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: + return 1.0 / (1.0 + np.exp(-mu)), sigma * np.exp(-mu) / (1.0 + np.exp(-mu)) ** 2 + + def get_mu_trans(self): + return self.mu_trans + + def get_sigma_trans(self): + return self.sigma_trans + + METHOD_LIST = ['delta'] @@ -102,9 +122,8 @@ def delta_method(mu: npt.ArrayLike, sigma: npt.ArrayLike, transform: str) -> \ """ mu, sigma = np.array(mu), np.array(sigma) _check_input('delta', transform, mu, sigma) - mu_trans = TRANSFORM_DICT[transform][0](mu) - sigma_trans = sigma*TRANSFORM_DICT[transform][1](mu) - return mu_trans, sigma_trans + transformer = FirstOrder(transform, mu, sigma) + return transformer.get_mu_trans(), transformer.get_sigma_trans() def _check_input(method: str, transform: str, mu: npt.ArrayLike, @@ -124,7 +143,6 @@ def _check_input(method: str, transform: str, mu: npt.ArrayLike, """ _check_method_valid(method) - _check_transform_valid(transform) _check_lengths_match(mu, sigma) _check_sigma_positive(sigma) @@ -142,19 +160,6 @@ def _check_method_valid(method: str) -> None: raise ValueError(f"Invalid method '{method}'.") -def _check_transform_valid(transform: str) -> None: - """Check that `transform` is in TRANSFORM_DICT. - - Parameters - ---------- - transform : {'log', 'logit', 'exp', 'expit'} - Transform function. - - """ - if transform not in TRANSFORM_DICT: - raise ValueError(f"Invalid transform '{transform}'.") - - def _check_lengths_match(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> None: """Check that `mu` and `sigma` have the same lengths. From 03f1953dc92eede6ff6a0c617d8c4a4a385a2480 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Mon, 29 Apr 2024 18:01:00 -0700 Subject: [PATCH 02/32] reimplement global dictionary as class and remove _check_transform_valid due to use of switch statement in class constructor --- src/distrx/first_order_delta.py | 9 --------- 1 file changed, 9 deletions(-) delete mode 100644 src/distrx/first_order_delta.py diff --git a/src/distrx/first_order_delta.py b/src/distrx/first_order_delta.py deleted file mode 100644 index c9ec58a..0000000 --- a/src/distrx/first_order_delta.py +++ /dev/null @@ -1,9 +0,0 @@ -from typing import Tuple -import warnings - -import numpy as np -import numpy.typing as npt - -def log(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: - mu_trans = np.log(mu) - sigma_trans = sigma * (1.0 / sigma) \ No newline at end of file From f853c256759179be5f83f3f3f40641d727b41582 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Mon, 29 Apr 2024 18:06:44 -0700 Subject: [PATCH 03/32] remove transform as a field due to incorrect syntax --- src/distrx/.DS_Store | Bin 0 -> 6148 bytes src/distrx/transforms.py | 4 ++-- 2 files changed, 2 insertions(+), 2 deletions(-) create mode 100644 src/distrx/.DS_Store diff --git a/src/distrx/.DS_Store b/src/distrx/.DS_Store new file mode 100644 index 0000000000000000000000000000000000000000..5008ddfcf53c02e82d7eee2e57c38e5672ef89f6 GIT binary patch literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0 None: # self.transforms = ["log", "logit", "exp", "expit"] - self.transform = input(transform) - match self.transform: + transform = input(transform) + match transform: case "log": self.mu_trans, self.sigma_trans = self.log_trans(mu, sigma) case "logit": From 51e0d681bc99ff782a4c88d51af64750c254baf0 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Sun, 5 May 2024 17:27:07 -0700 Subject: [PATCH 04/32] test adding cd/ci features --- .github/workflows/build.yml | 32 ++++++ .github/workflows/deploy.yml | 59 ++++++++++ .github/workflows/python-build.yml | 29 ----- .gitignore | 2 + .vscode/settings.json | 15 +++ docs/Makefile | 20 ++++ docs/_static/css/custom.css | 19 ++++ docs/_static/logo/logo-dark.png | Bin 0 -> 109859 bytes docs/_static/logo/logo-light.png | Bin 0 -> 92602 bytes docs/_templates/sidebar/variant-selector.html | 15 +++ docs/api_reference/example.rst | 5 + docs/api_reference/index.rst | 13 +++ docs/build.py | 41 +++++++ docs/conf.py | 106 ++++++++++++++++++ docs/developer_guide/index.rst | 11 ++ docs/getting_started/index.rst | 25 +++++ docs/getting_started/installation.rst | 26 +++++ docs/getting_started/quickstart.rst | 13 +++ docs/index.rst | 47 ++++++++ docs/make.bat | 35 ++++++ docs/meta.toml | 3 + docs/user_guide/cicd.rst | 9 ++ docs/user_guide/documentation.rst | 8 ++ docs/user_guide/index.rst | 22 ++++ docs/user_guide/project_organization.rst | 7 ++ docs/user_guide/style_guide.rst | 13 +++ docs/user_guide/testing.rst | 8 ++ pyproject.toml | 27 +++++ ruff.toml | 8 ++ src/distrx/transforms.py | 29 +++-- 30 files changed, 606 insertions(+), 41 deletions(-) create mode 100644 .github/workflows/build.yml create mode 100644 .github/workflows/deploy.yml delete mode 100644 .github/workflows/python-build.yml create mode 100644 .vscode/settings.json create mode 100644 docs/Makefile create mode 100644 docs/_static/css/custom.css create mode 100644 docs/_static/logo/logo-dark.png create mode 100644 docs/_static/logo/logo-light.png create mode 100644 docs/_templates/sidebar/variant-selector.html create mode 100644 docs/api_reference/example.rst create mode 100644 docs/api_reference/index.rst create mode 100644 docs/build.py create mode 100644 docs/conf.py create mode 100644 docs/developer_guide/index.rst create mode 100644 docs/getting_started/index.rst create mode 100644 docs/getting_started/installation.rst create mode 100644 docs/getting_started/quickstart.rst create mode 100644 docs/index.rst create mode 100644 docs/make.bat create mode 100644 docs/meta.toml create mode 100644 docs/user_guide/cicd.rst create mode 100644 docs/user_guide/documentation.rst create mode 100644 docs/user_guide/index.rst create mode 100644 docs/user_guide/project_organization.rst create mode 100644 docs/user_guide/style_guide.rst create mode 100644 docs/user_guide/testing.rst create mode 100644 pyproject.toml create mode 100644 ruff.toml diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml new file mode 100644 index 0000000..cae75b4 --- /dev/null +++ b/.github/workflows/build.yml @@ -0,0 +1,32 @@ +name: build + +on: + push: + branches: + - "*" +jobs: + build: + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Set up Python 3.11 + uses: actions/setup-python@v5 + with: + python-version: 3.11 + - name: Install dependencies + run: python -m pip install .[dev] --upgrade pip + - name: Test with pytest + run: pytest --cov=./ --cov-report=xml + + # - name: Build package distribution + # if: startsWith(github.ref, 'refs/tags') + # run: | + # python -m pip install build + # python -m build --sdist --wheel --outdir dist/ . + # - name: Publish package distribution to PyPI + # if: startsWith(github.ref, 'refs/tags') + # uses: pypa/gh-action-pypi-publish@master + # with: + # skip_existing: true + # user: __token__ + # password: ${{ secrets.PYPI_API_TOKEN }} diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml new file mode 100644 index 0000000..1246754 --- /dev/null +++ b/.github/workflows/deploy.yml @@ -0,0 +1,59 @@ +name: deploy + +on: + push: + tags: + - "v[0-9]+.[0-9]+.[0-9]+" + +permissions: + contents: write + +jobs: + pypi: + if: false + runs-on: ubuntu-latest + steps: + - uses: actions/checkout@v4 + - name: Set up Python 3.11 + uses: actions/setup-python@v5 + with: + python-version: "3.11" + - name: Install dependencies + run: python -m pip install build . --upgrade pip + - name: Build package distribution + run: python-m build --sdist --wheel --outdir dist/ . + - name: Publish package distribution to PyPI + uses: pypa/gh-action-pypi-publish@release/v1 + with: + skip_existing: true + user: __token__ + password: ${{ secrets.PYPI_API_TOKEN }} + + docs: + runs-on: ubuntu-latest + permissions: + pages: write + id-token: write + steps: + - uses: actions/checkout@v4 + - name: Set up Python 3.11 + uses: actions/setup-python@v5 + with: + python-version: "3.11" + - name: Install dependencies + run: python -m pip install .[docs] --upgrade pip + - name: Generate API docs & Build sphinx documentation + run: | + git fetch --tags + cd docs + python build.py + cd .. + - name: Setup Pages + uses: actions/configure-pages@v5 + - name: Upload artifact + uses: actions/upload-pages-artifact@v3 + with: + path: './docs/pages' + - name: Deploy to GitHub Pages + id: deployment + uses: actions/deploy-pages@v4 \ No newline at end of file diff --git a/.github/workflows/python-build.yml b/.github/workflows/python-build.yml deleted file mode 100644 index 855040b..0000000 --- a/.github/workflows/python-build.yml +++ /dev/null @@ -1,29 +0,0 @@ -name: python-build -on: [push] -jobs: - build: - - runs-on: ubuntu-latest - - steps: - - uses: actions/checkout@v2 - - name: Set up Python 3.8 - uses: actions/setup-python@v2 - with: - python-version: 3.8 - - name: Install dependencies - run: python -m pip install .[dev] --upgrade pip - - name: Test with pytest - run: pytest - - name: Build package distribution - if: startsWith(github.ref, 'refs/tags') - run: | - python -m pip install build - python -m build --sdist --wheel --outdir dist/ . - - name: Publish package distribution to PyPI - if: startsWith(github.ref, 'refs/tags') - uses: pypa/gh-action-pypi-publish@master - with: - skip_existing: true - user: __token__ - password: ${{ secrets.PYPI_API_TOKEN }} diff --git a/.gitignore b/.gitignore index b6e4761..b1047d9 100644 --- a/.gitignore +++ b/.gitignore @@ -1,3 +1,5 @@ +**/.DS_Store + # Byte-compiled / optimized / DLL files __pycache__/ *.py[cod] diff --git a/.vscode/settings.json b/.vscode/settings.json new file mode 100644 index 0000000..feb8771 --- /dev/null +++ b/.vscode/settings.json @@ -0,0 +1,15 @@ +{ + "[python]": { + "editor.defaultFormatter": "charliermarsh.ruff", + "editor.formatOnSave": true, + "editor.codeActionsOnSave": { + "source.organizeImports": "explicit", + }, + "editor.rulers": [80], + }, + "python.testing.pytestArgs": [ + "tests" + ], + "python.testing.unittestEnabled": false, + "python.testing.pytestEnabled": true, +} \ No newline at end of file diff --git a/docs/Makefile b/docs/Makefile new file mode 100644 index 0000000..d4bb2cb --- /dev/null +++ b/docs/Makefile @@ -0,0 +1,20 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = . +BUILDDIR = _build + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(SPHINXOPTS) $(O) diff --git a/docs/_static/css/custom.css b/docs/_static/css/custom.css new file mode 100644 index 0000000..e6b6138 --- /dev/null +++ b/docs/_static/css/custom.css @@ -0,0 +1,19 @@ +/* reduce the size of the main text */ +p { + font-size: 0.95rem; +} + +h1, +h2, +h3, +h4, +h5, +h6 { + font-weight: 500; +} + +.sidebar-brand-text { + font-size: 1rem; + font-weight: 500; + margin: auto; +} \ No newline at end of file diff --git a/docs/_static/logo/logo-dark.png b/docs/_static/logo/logo-dark.png new file mode 100644 index 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+ \ No newline at end of file diff --git a/docs/api_reference/example.rst b/docs/api_reference/example.rst new file mode 100644 index 0000000..6efcabc --- /dev/null +++ b/docs/api_reference/example.rst @@ -0,0 +1,5 @@ +pypkg.example +============= + +.. automodule:: pypkg.example + :members: diff --git a/docs/api_reference/index.rst b/docs/api_reference/index.rst new file mode 100644 index 0000000..f1f9976 --- /dev/null +++ b/docs/api_reference/index.rst @@ -0,0 +1,13 @@ +API reference +============= + +.. toctree:: + :hidden: + :glob: + + * + +.. note:: + Briefly describe the organization of the API reference if any. + +In PyPkg, we only provide a dummy function :py:func:`.example.add` to show the bone structure of a Python pacakge. \ No newline at end of file diff --git a/docs/build.py b/docs/build.py new file mode 100644 index 0000000..aa2c854 --- /dev/null +++ b/docs/build.py @@ -0,0 +1,41 @@ +import functools +import subprocess + +import tomllib + +run = functools.partial(subprocess.run, shell=True) + + +def build_doc(version: str) -> None: + run(f"git checkout v{version}") + run("git checkout main -- conf.py") + run("git checkout main -- versions.toml") + + run("make html") + run(f"mv _build/html pages/{version}") + run("rm -rf _build") + run("git checkout main") + + +def build_init_page(version: str) -> None: + with open("pages/index.html", "w") as f: + f.write(f""" +""") + + +if __name__ == "__main__": + # create pages folder + run("rm -rf pages") + run("mkdir pages") + + # get versions + with open("meta.toml", "rb") as f: + versions = tomllib.load(f)["versions"] + versions.sort(reverse=True, key=lambda v: tuple(map(int, v.split(".")))) + + # build documentations for different versions + for version in versions: + build_doc(version) + + # build initial page that redirect to the latest version + build_init_page(versions[0]) diff --git a/docs/conf.py b/docs/conf.py new file mode 100644 index 0000000..b5d791e --- /dev/null +++ b/docs/conf.py @@ -0,0 +1,106 @@ +# Configuration file for the Sphinx documentation builder. +# +# This file only contains a selection of the most common options. For a full +# list see the documentation: +# https://www.sphinx-doc.org/en/master/usage/configuration.html + +# -- Path setup -------------------------------------------------------------- + +# 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. +# +# import os +# import sys +# sys.path.insert(0, os.path.abspath(".")) +import datetime + +import tomllib + +with open("../pyproject.toml", "rb") as f: + about = tomllib.load(f)["project"] + + +# -- Project information ----------------------------------------------------- + +project = about["name"] +author = ", ".join([info["name"] for info in about["authors"]]) +copyright = f"2019-{datetime.datetime.today().year}, {author}" + + +# The full version, including alpha/beta/rc tags +version = about["version"] + + +# -- General configuration --------------------------------------------------- + +# 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.autosectionlabel", + "sphinx.ext.extlinks", + "sphinx.ext.intersphinx", + "sphinx.ext.mathjax", + "sphinx.ext.todo", + "sphinx.ext.viewcode", + "sphinx.ext.napoleon", +] +autodoc_typehints = "description" +autodoc_member_order = "bysource" +autodoc_type_aliases = { + "ArrayLike": "ArrayLike", + "NDArray": "NDArray", + "DataFrame": "DataFrame", +} + +# Add any paths that contain templates here, relative to this directory. +templates_path = ["_templates"] + +# List of patterns, relative to source directory, that match files and +# directories to ignore when looking for source files. +# This pattern also affects html_static_path and html_extra_path. +exclude_patterns = ["_build", "Thumbs.db", ".DS_Store"] + + +# -- 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 = "furo" + +# 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_css_files = ["css/custom.css"] +html_title = f"{project} {version}" +html_theme_options = { + "sidebar_hide_name": False, + "light_logo": "logo/logo-light.png", + "dark_logo": "logo/logo-dark.png", + "light_css_variables": { + "color-brand-primary": "#008080", + "color-brand-content": "#008080", + "color-problematic": "#BF5844", + "color-background-secondary": "#F8F8F8", + "color-admonition-title--note": "#008080", + "color-admonition-title-background--note": "#00808033", + }, + "dark_css_variables": { + "color-brand-primary": "#6FD8D1", + "color-brand-content": "#6FD8D1", + "color-problematic": "#FA9F50", + "color-background-secondary": "#202020", + "color-admonition-title--note": "#6FD8D1", + "color-admonition-title-background--note": "#6FD8D133", + }, +} +# get versions +with open("meta.toml", "rb") as f: + versions = tomllib.load(f)["versions"] +html_context = { + "versions": versions, +} diff --git a/docs/developer_guide/index.rst b/docs/developer_guide/index.rst new file mode 100644 index 0000000..71c2114 --- /dev/null +++ b/docs/developer_guide/index.rst @@ -0,0 +1,11 @@ +Developer guide +=============== + +.. admonition:: Work in progress... + :class: attention + + Current topics + + * briefly describe how to contribute + * contributing to the documentation + * contributing to the code base \ No newline at end of file diff --git a/docs/getting_started/index.rst b/docs/getting_started/index.rst new file mode 100644 index 0000000..9445de6 --- /dev/null +++ b/docs/getting_started/index.rst @@ -0,0 +1,25 @@ +Getting started +=============== + +.. toctree:: + :hidden: + + installation + quickstart + +.. note:: + + This page can be used to introduce some basic concepts to beginners. + It should be welcoming and not technical. + You can also use it address some of the pre-requisites for the package. + + +Welcome to PyPkg! +----------------- + +PyPkg package is a template package. +It tries to show the basic bone structure of a package with minimal functionality. +It is meant to be used as a starting point for new packages. + +For installing the package please check :ref:`Installing PyPkg`. +For a simple example please check :ref:`Quickstart`. \ No newline at end of file diff --git a/docs/getting_started/installation.rst b/docs/getting_started/installation.rst new file mode 100644 index 0000000..647d269 --- /dev/null +++ b/docs/getting_started/installation.rst @@ -0,0 +1,26 @@ +================ +Installing pypkg +================ + +Python version +-------------- + +The package :code:`pypkg` is written in Python +and requires Python 3.10 or later. + +:code:`pypkg` package is distributed at +`PyPI `_. +To install the package: + +.. code:: + + pip install pypkg + +For developers, you can clone the repository and install the package in the +development mode. + +.. code:: + + git clone https://github.com/ihmeuw-msca/pypkg.git + cd pypkg + pip install -e ".[test,docs]" \ No newline at end of file diff --git a/docs/getting_started/quickstart.rst b/docs/getting_started/quickstart.rst new file mode 100644 index 0000000..a34ff4c --- /dev/null +++ b/docs/getting_started/quickstart.rst @@ -0,0 +1,13 @@ +========== +Quickstart +========== + +Example +------- + +.. code-block:: python + + from pypkg.example import add + + result = add(1, 2) + assert result == 3 diff --git a/docs/index.rst b/docs/index.rst new file mode 100644 index 0000000..443a4aa --- /dev/null +++ b/docs/index.rst @@ -0,0 +1,47 @@ +PyPkg documentation +=================== + +.. toctree:: + :hidden: + + getting_started/index + user_guide/index + api_reference/index + developer_guide/index + +.. note:: + + In this page, please use one or two paragraphs to summarize the main purpose of the package. + Following the summary, please provide guidence of how people should use this documentation. + +PyPkg is a template package to guide you setup your own Python package. +It can be cloned and used as a starting point for your project. +We also want to use this documentation to help users understand key concepts when building a Python package, include + +* Project organization +* Style guide +* Testing and documentation +* Continuous integration and deployment + +It will bring standards, consistency and best practices into your projects and +make collaborations easier. + +.. list-table:: + :header-rows: 1 + :widths: 50 50 + + * - :ref:`Getting started` + - :ref:`User guide` + + * - If you are new to PyPkg, this is where you should go. It contains main use cases and examples to help you get started. + - The user guide provides in-depth information on key concepts of package building with useful background information and explanation. + +.. list-table:: + :header-rows: 1 + :widths: 50 50 + + * - :ref:`API reference` + - :ref:`Developer guide` + + * - If you are looking for information on a specific module, function, class or method, this part of the documentation is for you. + - Want to improve the existing functionalities and documentation? The contributing guidelines will guide you through the process. diff --git a/docs/make.bat b/docs/make.bat new file mode 100644 index 0000000..32bb245 --- /dev/null +++ b/docs/make.bat @@ -0,0 +1,35 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=. +set BUILDDIR=_build + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.https://www.sphinx-doc.org/ + exit /b 1 +) + +if "%1" == "" goto help + +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% + +:end +popd diff --git a/docs/meta.toml b/docs/meta.toml new file mode 100644 index 0000000..c7c4f3a --- /dev/null +++ b/docs/meta.toml @@ -0,0 +1,3 @@ +versions = [ + "0.1.0", +] \ No newline at end of file diff --git a/docs/user_guide/cicd.rst b/docs/user_guide/cicd.rst new file mode 100644 index 0000000..342a34c --- /dev/null +++ b/docs/user_guide/cicd.rst @@ -0,0 +1,9 @@ +CI/CD +===== + +.. admonition:: Working in progress... + :class: attention + + * introduce some basic concept of continuous integration and deployment + * introduce github workflow + * introduce badges \ No newline at end of file diff --git a/docs/user_guide/documentation.rst b/docs/user_guide/documentation.rst new file mode 100644 index 0000000..d2ca5f5 --- /dev/null +++ b/docs/user_guide/documentation.rst @@ -0,0 +1,8 @@ +Documentation +============= + +.. admonition:: Working in progress... + :class: attention + + * introduce sphinx + * describe the multi-version documentation building process \ No newline at end of file diff --git a/docs/user_guide/index.rst b/docs/user_guide/index.rst new file mode 100644 index 0000000..dcdacd8 --- /dev/null +++ b/docs/user_guide/index.rst @@ -0,0 +1,22 @@ +User guide +========== + +.. toctree:: + :hidden: + :numbered: + + project_organization + style_guide + testing + documentation + cicd + +.. note:: + + Please provide some intructions of how to read the user guide here. + For example where should a user start and what order of reading should one follow. + + +This user guide introduces and explains some key concepts when building a Python package. +If you are a new user starting out your Python package journey, we recommend you to start with the +:ref:`Project organization` and read each section in order. \ No newline at end of file diff --git a/docs/user_guide/project_organization.rst b/docs/user_guide/project_organization.rst new file mode 100644 index 0000000..5dc47df --- /dev/null +++ b/docs/user_guide/project_organization.rst @@ -0,0 +1,7 @@ +Project organization +==================== + +.. admonition:: Working in progress... + :class: Attention + + Explain what different files and folders in the repo mean... \ No newline at end of file diff --git a/docs/user_guide/style_guide.rst b/docs/user_guide/style_guide.rst new file mode 100644 index 0000000..fbff5be --- /dev/null +++ b/docs/user_guide/style_guide.rst @@ -0,0 +1,13 @@ +Style guide +=========== + +.. admonition:: Working in progress... + :class: Attention + + Current topics + + * PEP8 + * naming + * linter/formatter + * docstrings + * type hints diff --git a/docs/user_guide/testing.rst b/docs/user_guide/testing.rst new file mode 100644 index 0000000..60c9de9 --- /dev/null +++ b/docs/user_guide/testing.rst @@ -0,0 +1,8 @@ +Testing +======= + +.. admonition:: Working in progress... + :class: attention + + * introduce Pytest + * introduce test covarage diff --git a/pyproject.toml b/pyproject.toml new file mode 100644 index 0000000..a09dbe4 --- /dev/null +++ b/pyproject.toml @@ -0,0 +1,27 @@ +[build-system] +requires = ["setuptools"] +build-backend = "setuptools.build_meta" + +[project] +name = "pypkg" +version = "0.1.0" +description = "Python package template" +readme = "README.md" +requires-python = ">=3.10" +license = { text = "BSD-2-Clause" } +authors = [ + { name = "IHME Math Sciences", email = "ihme.math.sciences@gmail.com" }, +] +classifiers = [ + "Programming Language :: Python :: 3", + "License :: OSI Approved :: BSD License", + "Natural Language :: English", +] +dependencies = [] + +[project.optional-dependencies] +test = ["pytest", "pytest-cov"] +docs = ["sphinx", "sphinx-autodoc-typehints", "furo"] + +[project.urls] +github = "https://github.com/ihmeuw-msca/pypkg" \ No newline at end of file diff --git a/ruff.toml b/ruff.toml new file mode 100644 index 0000000..db4fdb4 --- /dev/null +++ b/ruff.toml @@ -0,0 +1,8 @@ +line-length = 80 +src = ["src"] + +[format] +docstring-code-format = true + +[lint.pydocstyle] +convention = "numpy" diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index e9b8eef..ec985a3 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -18,30 +18,35 @@ class FirstOrder: def __init__(self, transform: str, mu: npt.ArrayLike, sigma: npt.ArrayLike) -> None: - # self.transforms = ["log", "logit", "exp", "expit"] - transform = input(transform) - match transform: + # you may be able to make transform a field, though it might not be necessary + # TODO: DSLETE DS.STORE + # TODO: USE RUFF LINTER + # TODO: put each parameter on its separate line if theres a lot (reference pypkg style guide) + self.transform = input(transform) + self.mu = mu + self.sigma = sigma + match self.transform: case "log": - self.mu_trans, self.sigma_trans = self.log_trans(mu, sigma) + self.mu_trans, self.sigma_trans = self.log_trans(self.mu, self.sigma) case "logit": - self.mu_trans, self.sigma_trans = self.logit_trans(mu, sigma) + self.mu_trans, self.sigma_trans = self.logit_trans(self.mu, self.sigma) case "exp": - self.mu_trans, self.sigma_trans = self.exp_trans(mu, sigma) + self.mu_trans, self.sigma_trans = self.exp_trans(self.mu, self.sigma) case "expit": - self.mu_trans, self.sigma_trans = self.expit_trans(mu, sigma) + self.mu_trans, self.sigma_trans = self.expit_trans(self.mu, self.sigma) case _: - raise ValueError(f"Invalid transform '{transform}'.") + raise ValueError(f"Invalid transform '{self.transform}'.") - def log_trans(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: + def log_trans(self, mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: return np.log(mu), sigma / mu - def logit_trans(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: + def logit_trans(self, mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: return np.log(mu / (1.0 - mu)), sigma / (mu * (1.0 - mu)) - def exp_trans(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: + def exp_trans(self, mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: return np.exp(mu), np.exp(mu) - def expit_trans(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: + def expit_trans(self, mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: return 1.0 / (1.0 + np.exp(-mu)), sigma * np.exp(-mu) / (1.0 + np.exp(-mu)) ** 2 def get_mu_trans(self): From f60c87fb8e962af095a2f1fc01acc7a39a7893fd Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Sun, 5 May 2024 17:33:20 -0700 Subject: [PATCH 05/32] remove coverage report in build.yml and remove use of API token in deploy.yml --- .github/workflows/build.yml | 2 +- .github/workflows/deploy.yml | 16 ++++++++-------- 2 files changed, 9 insertions(+), 9 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index cae75b4..c17ae72 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -16,7 +16,7 @@ jobs: - name: Install dependencies run: python -m pip install .[dev] --upgrade pip - name: Test with pytest - run: pytest --cov=./ --cov-report=xml + run: pytest # --cov=./ --cov-report=xml # - name: Build package distribution # if: startsWith(github.ref, 'refs/tags') diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml index 1246754..95f70de 100644 --- a/.github/workflows/deploy.yml +++ b/.github/workflows/deploy.yml @@ -20,14 +20,14 @@ jobs: python-version: "3.11" - name: Install dependencies run: python -m pip install build . --upgrade pip - - name: Build package distribution - run: python-m build --sdist --wheel --outdir dist/ . - - name: Publish package distribution to PyPI - uses: pypa/gh-action-pypi-publish@release/v1 - with: - skip_existing: true - user: __token__ - password: ${{ secrets.PYPI_API_TOKEN }} + # - name: Build package distribution + # run: python-m build --sdist --wheel --outdir dist/ . + # - name: Publish package distribution to PyPI + # uses: pypa/gh-action-pypi-publish@release/v1 + # with: + # skip_existing: true + # user: __token__ + # password: ${{ secrets.PYPI_API_TOKEN }} docs: runs-on: ubuntu-latest From 8e76918418e0dcdcf6b60a307e532f4fecdb4c32 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Sun, 5 May 2024 17:48:53 -0700 Subject: [PATCH 06/32] change pip install command from dev to test --- .github/workflows/build.yml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index c17ae72..765ea86 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -14,7 +14,7 @@ jobs: with: python-version: 3.11 - name: Install dependencies - run: python -m pip install .[dev] --upgrade pip + run: python -m pip install .[test] --upgrade pip - name: Test with pytest run: pytest # --cov=./ --cov-report=xml From ee7d4b208e259c5036eef052a563320e2269ade5 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Sun, 5 May 2024 17:55:41 -0700 Subject: [PATCH 07/32] add dependencies to array in pyproject.toml --- pyproject.toml | 6 +++--- 1 file changed, 3 insertions(+), 3 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index a09dbe4..b4fe6e7 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -3,11 +3,11 @@ requires = ["setuptools"] build-backend = "setuptools.build_meta" [project] -name = "pypkg" +name = "distrx" version = "0.1.0" description = "Python package template" readme = "README.md" -requires-python = ">=3.10" +requires-python = ">=3.11" license = { text = "BSD-2-Clause" } authors = [ { name = "IHME Math Sciences", email = "ihme.math.sciences@gmail.com" }, @@ -20,7 +20,7 @@ classifiers = [ dependencies = [] [project.optional-dependencies] -test = ["pytest", "pytest-cov"] +test = ["pytest", "pytest-cov", "numpy", "typing", "warnings"] docs = ["sphinx", "sphinx-autodoc-typehints", "furo"] [project.urls] From 378087ba8b1bcdc4678a804ecd66d46787daf0e1 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Sun, 5 May 2024 17:59:03 -0700 Subject: [PATCH 08/32] change url to point to distrx instead of pypkg --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index b4fe6e7..79900f6 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -24,4 +24,4 @@ test = ["pytest", "pytest-cov", "numpy", "typing", "warnings"] docs = ["sphinx", "sphinx-autodoc-typehints", "furo"] [project.urls] -github = "https://github.com/ihmeuw-msca/pypkg" \ No newline at end of file +github = "https://github.com/ihmeuw-msca/distrx" \ No newline at end of file From 78fab30e75ec3c9e01792f1812254737f1a00028 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Sun, 5 May 2024 21:41:03 -0700 Subject: [PATCH 09/32] remove old setup.py and .DS_Store as well as edit pyproject.toml to not have additional dependencies in test array --- setup.py | 51 ------------------------------------------- src/distrx/.DS_Store | Bin 6148 -> 0 bytes 2 files changed, 51 deletions(-) delete mode 100644 setup.py delete mode 100644 src/distrx/.DS_Store diff --git a/setup.py b/setup.py deleted file mode 100644 index d3a9cb6..0000000 --- a/setup.py +++ /dev/null @@ -1,51 +0,0 @@ -import sys -from pathlib import Path -from setuptools import setup, find_packages - - -if __name__ == '__main__': - base_dir = Path(__file__).parent - src_dir = base_dir/'src'/'distrx' - - sys.path.insert(0, src_dir.as_posix()) - import __about__ as about - - with (base_dir/'README.md').open() as f: - long_description = f.read() - - install_requirements = [ - 'numpy', - 'pandas', - 'scipy', - ] - - test_requirements = [ - 'pytest', - 'pytest-mock', - ] - - doc_requirements = [] - - setup(name=about.__title__, - version=about.__version__, - - description=about.__summary__, - long_description=long_description, - license=about.__license__, - url=about.__uri__, - - author=about.__author__, - author_email=about.__email__, - - package_dir={'': 'src'}, - packages=find_packages(where='src'), - include_package_data=True, - - install_requires=install_requirements, - tests_require=test_requirements, - extras_require={ - 'docs': doc_requirements, - 'test': test_requirements, - 'dev': doc_requirements + test_requirements - }, - zip_safe=False,) diff --git a/src/distrx/.DS_Store b/src/distrx/.DS_Store deleted file mode 100644 index 5008ddfcf53c02e82d7eee2e57c38e5672ef89f6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 6148 zcmeH~Jr2S!425mzP>H1@V-^m;4Wg<&0T*E43hX&L&p$$qDprKhvt+--jT7}7np#A3 zem<@ulZcFPQ@L2!n>{z**++&mCkOWA81W14cNZlEfg7;MkzE(HCqgga^y>{tEnwC%0;vJ&^%eQ zLs35+`xjp>T0 Date: Sun, 5 May 2024 21:54:12 -0700 Subject: [PATCH 10/32] remove about.py --- src/distrx/__about__.py | 16 ---------------- 1 file changed, 16 deletions(-) delete mode 100644 src/distrx/__about__.py diff --git a/src/distrx/__about__.py b/src/distrx/__about__.py deleted file mode 100644 index 682cd69..0000000 --- a/src/distrx/__about__.py +++ /dev/null @@ -1,16 +0,0 @@ -__all__ = [ - "__title__", "__summary__", "__uri__", "__version__", "__author__", - "__email__", "__license__", "__copyright__", -] - -__title__ = "distrx" -__summary__ = "Distribution transformation." -__uri__ = "https://github.com/ihmeuw-msca/distrx" - -__version__ = "0.0.0" - -__author__ = "IHME Math Sciences" -__email__ = "ihme.math.sciences@gmail.com" - -__license__ = "BSD 2-Clause License" -__copyright__ = f"Copyright 2021 {__author__}" \ No newline at end of file From 2425ac86cc7ee70f9a6b6053dbe90551af02e758 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Sun, 5 May 2024 22:04:06 -0700 Subject: [PATCH 11/32] add warnings to the optional dependencies in pyproject.toml --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 79900f6..17f6531 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,7 +20,7 @@ classifiers = [ dependencies = [] [project.optional-dependencies] -test = ["pytest", "pytest-cov", "numpy", "typing", "warnings"] +test = ["pytest", "pytest-cov", "warnings] docs = ["sphinx", "sphinx-autodoc-typehints", "furo"] [project.urls] From 07bd7ef75a5934b7b15da90b65266cb69f810dd5 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Sun, 5 May 2024 22:06:29 -0700 Subject: [PATCH 12/32] fix typo, was missing closing quotation mark when adding warnings in pyproject.toml --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index 17f6531..5baaf1e 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -20,7 +20,7 @@ classifiers = [ dependencies = [] [project.optional-dependencies] -test = ["pytest", "pytest-cov", "warnings] +test = ["pytest", "pytest-cov", "warnings"] docs = ["sphinx", "sphinx-autodoc-typehints", "furo"] [project.urls] From 93f7a01ce721fc80549b6a7d6db5ff602a425f0b Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Sun, 5 May 2024 22:23:24 -0700 Subject: [PATCH 13/32] try python 3.12 in build and deploy.yml instead of 3.11 --- .github/workflows/build.yml | 4 ++-- .github/workflows/deploy.yml | 8 ++++---- 2 files changed, 6 insertions(+), 6 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 765ea86..5e90fcb 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -9,10 +9,10 @@ jobs: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - - name: Set up Python 3.11 + - name: Set up Python 3.12 uses: actions/setup-python@v5 with: - python-version: 3.11 + python-version: 3.12 - name: Install dependencies run: python -m pip install .[test] --upgrade pip - name: Test with pytest diff --git a/.github/workflows/deploy.yml b/.github/workflows/deploy.yml index 95f70de..990c576 100644 --- a/.github/workflows/deploy.yml +++ b/.github/workflows/deploy.yml @@ -14,10 +14,10 @@ jobs: runs-on: ubuntu-latest steps: - uses: actions/checkout@v4 - - name: Set up Python 3.11 + - name: Set up Python 3.12 uses: actions/setup-python@v5 with: - python-version: "3.11" + python-version: "3.12" - name: Install dependencies run: python -m pip install build . --upgrade pip # - name: Build package distribution @@ -36,10 +36,10 @@ jobs: id-token: write steps: - uses: actions/checkout@v4 - - name: Set up Python 3.11 + - name: Set up Python 3.12 uses: actions/setup-python@v5 with: - python-version: "3.11" + python-version: "3.12" - name: Install dependencies run: python -m pip install .[docs] --upgrade pip - name: Generate API docs & Build sphinx documentation From 21a11e33d5b225aa83cf855368d1088bb2541e45 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Sun, 5 May 2024 22:34:40 -0700 Subject: [PATCH 14/32] transfer required dependencies from test to dependencies in pyproject.toml --- pyproject.toml | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index 5baaf1e..f2116c3 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,10 +17,10 @@ classifiers = [ "License :: OSI Approved :: BSD License", "Natural Language :: English", ] -dependencies = [] +dependencies = ["typing", "numpy", "warnings"] [project.optional-dependencies] -test = ["pytest", "pytest-cov", "warnings"] +test = ["pytest", "pytest-cov"] docs = ["sphinx", "sphinx-autodoc-typehints", "furo"] [project.urls] From 8be74bde60648ec70111293580303f45bae9cc05 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Mon, 6 May 2024 01:26:02 -0700 Subject: [PATCH 15/32] remove warnings from dependency list in pyproject.toml, ensure python 3.12 required in all relevant files, add flag to install packages without cache in build.yml --- .github/workflows/build.yml | 4 ++-- pyproject.toml | 4 ++-- 2 files changed, 4 insertions(+), 4 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index 5e90fcb..bf1a895 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -12,9 +12,9 @@ jobs: - name: Set up Python 3.12 uses: actions/setup-python@v5 with: - python-version: 3.12 + python-version: "3.12" - name: Install dependencies - run: python -m pip install .[test] --upgrade pip + run: python -m pip install .[test] --upgrade pip --no-cache-dir - name: Test with pytest run: pytest # --cov=./ --cov-report=xml diff --git a/pyproject.toml b/pyproject.toml index f2116c3..d136319 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -7,7 +7,7 @@ name = "distrx" version = "0.1.0" description = "Python package template" readme = "README.md" -requires-python = ">=3.11" +requires-python = ">=3.12" license = { text = "BSD-2-Clause" } authors = [ { name = "IHME Math Sciences", email = "ihme.math.sciences@gmail.com" }, @@ -17,7 +17,7 @@ classifiers = [ "License :: OSI Approved :: BSD License", "Natural Language :: English", ] -dependencies = ["typing", "numpy", "warnings"] +dependencies = ["typing", "numpy"] [project.optional-dependencies] test = ["pytest", "pytest-cov"] From 469b79451f8d9309b4f96504461a998591e1cffd Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Tue, 14 May 2024 12:15:09 -0700 Subject: [PATCH 16/32] fix bugs in transforms.py, tests now passing --- .github/workflows/build.yml | 1 + src/distrx/transforms.py | 73 +++++++++++++++++++++++++------------ 2 files changed, 50 insertions(+), 24 deletions(-) diff --git a/.github/workflows/build.yml b/.github/workflows/build.yml index bf1a895..74cb5e1 100644 --- a/.github/workflows/build.yml +++ b/.github/workflows/build.yml @@ -17,6 +17,7 @@ jobs: run: python -m pip install .[test] --upgrade pip --no-cache-dir - name: Test with pytest run: pytest # --cov=./ --cov-report=xml + # repository > settings > github apps > configure codecov # - name: Build package distribution # if: startsWith(github.ref, 'refs/tags') diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index ec985a3..96e0384 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -9,45 +9,64 @@ * Add decorators for accepting floats or vectors """ -from typing import Tuple + import warnings +from typing import Tuple import numpy as np import numpy.typing as npt class FirstOrder: - def __init__(self, transform: str, mu: npt.ArrayLike, sigma: npt.ArrayLike) -> None: + def __init__( + self, transform: str, mu: npt.ArrayLike, sigma: npt.ArrayLike + ) -> None: # you may be able to make transform a field, though it might not be necessary - # TODO: DSLETE DS.STORE - # TODO: USE RUFF LINTER # TODO: put each parameter on its separate line if theres a lot (reference pypkg style guide) - self.transform = input(transform) + self.transform = transform self.mu = mu self.sigma = sigma match self.transform: case "log": - self.mu_trans, self.sigma_trans = self.log_trans(self.mu, self.sigma) + self.mu_trans, self.sigma_trans = self.log_trans( + self.mu, self.sigma + ) case "logit": - self.mu_trans, self.sigma_trans = self.logit_trans(self.mu, self.sigma) + self.mu_trans, self.sigma_trans = self.logit_trans( + self.mu, self.sigma + ) case "exp": - self.mu_trans, self.sigma_trans = self.exp_trans(self.mu, self.sigma) + self.mu_trans, self.sigma_trans = self.exp_trans( + self.mu, self.sigma + ) case "expit": - self.mu_trans, self.sigma_trans = self.expit_trans(self.mu, self.sigma) + self.mu_trans, self.sigma_trans = self.expit_trans( + self.mu, self.sigma + ) case _: raise ValueError(f"Invalid transform '{self.transform}'.") - def log_trans(self, mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: + def log_trans( + self, mu: npt.ArrayLike, sigma: npt.ArrayLike + ) -> Tuple[np.ndarray, np.ndarray]: return np.log(mu), sigma / mu - def logit_trans(self, mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: + def logit_trans( + self, mu: npt.ArrayLike, sigma: npt.ArrayLike + ) -> Tuple[np.ndarray, np.ndarray]: return np.log(mu / (1.0 - mu)), sigma / (mu * (1.0 - mu)) - def exp_trans(self, mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: - return np.exp(mu), np.exp(mu) + def exp_trans( + self, mu: npt.ArrayLike, sigma: npt.ArrayLike + ) -> Tuple[np.ndarray, np.ndarray]: + return np.exp(mu), sigma * np.exp(mu) - def expit_trans(self, mu: npt.ArrayLike, sigma: npt.ArrayLike) -> Tuple[np.ndarray, np.ndarray]: - return 1.0 / (1.0 + np.exp(-mu)), sigma * np.exp(-mu) / (1.0 + np.exp(-mu)) ** 2 + def expit_trans( + self, mu: npt.ArrayLike, sigma: npt.ArrayLike + ) -> Tuple[np.ndarray, np.ndarray]: + return 1.0 / (1.0 + np.exp(-mu)), sigma * np.exp(-mu) / ( + 1.0 + np.exp(-mu) + ) ** 2 def get_mu_trans(self): return self.mu_trans @@ -56,11 +75,15 @@ def get_sigma_trans(self): return self.sigma_trans -METHOD_LIST = ['delta'] +METHOD_LIST = ["delta"] -def transform_data(mu: npt.ArrayLike, sigma: npt.ArrayLike, transform: str, - method: str = 'delta') -> Tuple[np.ndarray, np.ndarray]: +def transform_data( + mu: npt.ArrayLike, + sigma: npt.ArrayLike, + transform: str, + method: str = "delta", +) -> Tuple[np.ndarray, np.ndarray]: """Transform data from one space to another. Transform data, in the form of sample statistics and their standard @@ -89,12 +112,13 @@ def transform_data(mu: npt.ArrayLike, sigma: npt.ArrayLike, transform: str, """ mu, sigma = np.array(mu), np.array(sigma) _check_input(method, transform, mu, sigma) - if method == 'delta': + if method == "delta": return delta_method(mu, sigma, transform) -def delta_method(mu: npt.ArrayLike, sigma: npt.ArrayLike, transform: str) -> \ - Tuple[np.ndarray, np.ndarray]: +def delta_method( + mu: npt.ArrayLike, sigma: npt.ArrayLike, transform: str +) -> Tuple[np.ndarray, np.ndarray]: """Transform data using the delta method. Transform data, in the form of sample statistics and their standard @@ -126,13 +150,14 @@ def delta_method(mu: npt.ArrayLike, sigma: npt.ArrayLike, transform: str) -> \ """ mu, sigma = np.array(mu), np.array(sigma) - _check_input('delta', transform, mu, sigma) + _check_input("delta", transform, mu, sigma) transformer = FirstOrder(transform, mu, sigma) return transformer.get_mu_trans(), transformer.get_sigma_trans() -def _check_input(method: str, transform: str, mu: npt.ArrayLike, - sigma: npt.ArrayLike) -> None: +def _check_input( + method: str, transform: str, mu: npt.ArrayLike, sigma: npt.ArrayLike +) -> None: """Run checks on input data. Parameters From f597641675e32c43b30632e4bdf3aecbafb9695d Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Thu, 16 May 2024 01:35:25 -0700 Subject: [PATCH 17/32] implement first draft of transform_percentage_change function and document transforms.py --- src/distrx/transforms.py | 135 +++++++++++++++++++++++++++++++++++++-- 1 file changed, 130 insertions(+), 5 deletions(-) diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index 96e0384..ef2761a 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -18,15 +18,33 @@ class FirstOrder: + """ + Contains 4 most common 1st order delta method transformation functions + """ + def __init__( self, transform: str, mu: npt.ArrayLike, sigma: npt.ArrayLike ) -> None: - # you may be able to make transform a field, though it might not be necessary - # TODO: put each parameter on its separate line if theres a lot (reference pypkg style guide) + """Initializes an object to perform 1st order delta method transformations + + Parameters + ---------- + transform : str + Function of choice + mu : npt.ArrayLike + Summary statistics + sigma : npt.ArrayLike + Standard errors + + Raises + ------ + ValueError + Is thrown function of choice not implemented + """ self.transform = transform self.mu = mu self.sigma = sigma - match self.transform: + match transform: case "log": self.mu_trans, self.sigma_trans = self.log_trans( self.mu, self.sigma @@ -49,29 +67,99 @@ def __init__( def log_trans( self, mu: npt.ArrayLike, sigma: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: + """Performs delta method on data under log transform + + Parameters + ---------- + mu : npt.ArrayLike + Sample statistics + sigma : npt.ArrayLike + Standard errors + + Returns + ------- + Tuple[np.ndarray, np.ndarray] + Transformed mean and standard error + """ return np.log(mu), sigma / mu def logit_trans( self, mu: npt.ArrayLike, sigma: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: + """Performs delta method on data under logit transform + + Parameters + ---------- + mu : npt.ArrayLike + Sample statistics + sigma : npt.ArrayLike + Standard errors + + Returns + ------- + Tuple[np.ndarray, np.ndarray] + Transformed mean and standard error + """ return np.log(mu / (1.0 - mu)), sigma / (mu * (1.0 - mu)) def exp_trans( self, mu: npt.ArrayLike, sigma: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: + """Performs delta method on data under exponential transform + + Parameters + ---------- + mu : npt.ArrayLike + Sample statistics + sigma : npt.ArrayLike + Standard errors + + Returns + ------- + Tuple[np.ndarray, np.ndarray] + Transformed mean and standard error + """ return np.exp(mu), sigma * np.exp(mu) def expit_trans( self, mu: npt.ArrayLike, sigma: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: + """Performs delta method on data under expit transform + + Parameters + ---------- + mu : npt.ArrayLike + Sample statistics + sigma : npt.ArrayLike + Standard errors + + Returns + ------- + Tuple[np.ndarray, np.ndarray] + Transformed mean and standard error + """ return 1.0 / (1.0 + np.exp(-mu)), sigma * np.exp(-mu) / ( 1.0 + np.exp(-mu) ) ** 2 - def get_mu_trans(self): + def get_mu_trans(self) -> np.ndarray: + """Getter for transformed mean + + Returns + ------- + np.ndarray + Transformed mean + """ return self.mu_trans - def get_sigma_trans(self): + def get_sigma_trans(self) -> np.ndarray: + """Getter for transformed standard error + + Returns + ------- + np.ndarray + Transformed standard error + """ return self.sigma_trans @@ -155,6 +243,43 @@ def delta_method( return transformer.get_mu_trans(), transformer.get_sigma_trans() +def transform_percentage_change(mu_x, mu_y, sigma_x, sigma_y, sigma_xy, n): + """Bias-corrected percentage change w/delta transform standard error + + Parameters + ---------- + mu_x : array_like + Sample statistics + mu_y : array_like + Sample statistics + sigma_x : array_like + Standard errors + sigma_y : array_like + Standard errors + sigma_xy : array_like + Covariance + n : array_like + Sample sizes + + Returns + ------- + p_hat: numpy.ndarray # TODO: ENSURE THIS IS NUMPY ARRAY + bias corrected estimator of percentage change + sigma_trans: numpy.ndarray # TODO: ENSURE THIS IS NUMPY ARRAY + delta method estimator of standard error + """ + delta_hat = (mu_y - mu_x) / mu_x + bias_corr = (mu_y * sigma_x**2 - sigma_xy) / ((n * mu_x) ** 2) + # may need sqrt + sigma_trans = ( + (sigma_y**2 / mu_x**2) + - (2 * mu_y * sigma_xy / (mu_x**3)) + + (mu_y**2 * sigma_xy**2 / (mu_x**4)) + ) + p_hat = delta_hat + bias_corr + return p_hat, sigma_trans + + def _check_input( method: str, transform: str, mu: npt.ArrayLike, sigma: npt.ArrayLike ) -> None: From c82ffd067206c75e6df690e3de76d3e789bd5be6 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Sat, 18 May 2024 21:12:12 -0700 Subject: [PATCH 18/32] add function to handle raw counts for percentage change --- docs/index.rst | 29 ++++++++++--------- src/distrx/transforms.py | 22 +++++++++++++-- tests/test_transforms.py | 60 ++++++++++++++++++---------------------- 3 files changed, 60 insertions(+), 51 deletions(-) diff --git a/docs/index.rst b/docs/index.rst index 443a4aa..26af88e 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -1,4 +1,4 @@ -PyPkg documentation +distrx documentation =================== .. toctree:: @@ -14,17 +14,16 @@ PyPkg documentation In this page, please use one or two paragraphs to summarize the main purpose of the package. Following the summary, please provide guidence of how people should use this documentation. -PyPkg is a template package to guide you setup your own Python package. -It can be cloned and used as a starting point for your project. -We also want to use this documentation to help users understand key concepts when building a Python package, include - -* Project organization -* Style guide -* Testing and documentation -* Continuous integration and deployment - -It will bring standards, consistency and best practices into your projects and -make collaborations easier. +Statistics like variance and SE (standard error) are a measure of spread in data. +When shifting all of your data up or down (i.e. adding and subtracting a constant from your data), +you need not worry about tinkering with the variance or SE calculations. +However, when applying a nonlinear transformation to data (e.g. a log transform), +one’s intuition may be to simply apply the same function to the resulting statistics. +While this might work for things like the sample mean, +but doing this for SE will produce completely incorrect uncertainty estimates. +The distrx package aims to provide functions based in sound statistical theory +to allow users to apply common transformation functions in the health sciences field +to produce transformations and maintain correct uncertainty estimates. .. list-table:: :header-rows: 1 @@ -33,8 +32,8 @@ make collaborations easier. * - :ref:`Getting started` - :ref:`User guide` - * - If you are new to PyPkg, this is where you should go. It contains main use cases and examples to help you get started. - - The user guide provides in-depth information on key concepts of package building with useful background information and explanation. + * - If you are new to distrx, this is where you should go. It contains main use cases and examples to help you get started. + - The user guide provides in-depth information on key concepts of data transformation with useful background information and explanation. .. list-table:: :header-rows: 1 @@ -42,6 +41,6 @@ make collaborations easier. * - :ref:`API reference` - :ref:`Developer guide` - + * - If you are looking for information on a specific module, function, class or method, this part of the documentation is for you. - Want to improve the existing functionalities and documentation? The contributing guidelines will guide you through the process. diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index ef2761a..2ac29a7 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -268,16 +268,32 @@ def transform_percentage_change(mu_x, mu_y, sigma_x, sigma_y, sigma_xy, n): sigma_trans: numpy.ndarray # TODO: ENSURE THIS IS NUMPY ARRAY delta method estimator of standard error """ + # TODO: IT MAY BE POSSIBLE TO BACKCALCULATE SAMPLE SIZE FROM STD ERROR + # TODO: CONSIDER BINOMIAL DISTRIBUTION delta_hat = (mu_y - mu_x) / mu_x bias_corr = (mu_y * sigma_x**2 - sigma_xy) / ((n * mu_x) ** 2) - # may need sqrt sigma_trans = ( (sigma_y**2 / mu_x**2) - (2 * mu_y * sigma_xy / (mu_x**3)) - + (mu_y**2 * sigma_xy**2 / (mu_x**4)) + + (mu_y**2 * sigma_x**2 / (mu_x**4)) ) p_hat = delta_hat + bias_corr - return p_hat, sigma_trans + return p_hat, np.sqrt(sigma_trans) + + +def transform_percentage_change_binom(c_x, n_x, c_y, n_y): + mu_x = c_x / n_x + mu_y = c_y / n_y + sigma_x = mu_x * (1 - mu_x) + sigma_y = mu_y * (1 - mu_y) + # source for sigma_xy: https://stats.stackexchange.com/a/417367 + sigma_xy = np.min([mu_x, mu_y]) + sigma_trans = ( + (sigma_y**2 / mu_x**2) + - (2 * mu_y * sigma_xy / (mu_x**3)) + + (mu_y**2 * sigma_x**2 / (mu_x**4)) + ) + return sigma_trans def _check_input( diff --git a/tests/test_transforms.py b/tests/test_transforms.py index 0a84206..6321f7b 100644 --- a/tests/test_transforms.py +++ b/tests/test_transforms.py @@ -1,47 +1,41 @@ """Tests for transforms.py module.""" + import numpy as np import pytest -from distrx.transforms import transform_data, delta_method - +from distrx.transforms import delta_method, transform_data TRANSFORM_DICT = { - 'log': [ - np.log, - lambda x: 1.0/x - ], 'logit': [ - lambda x: np.log(x/(1.0 - x)), - lambda x: 1.0/(x*(1.0 - x)) - ], 'exp': [ - np.exp, - np.exp - ], 'expit': [ - lambda x: 1.0/(1.0 + np.exp(-x)), - lambda x: np.exp(-x)/(1.0 + np.exp(-x))**2 - ] + "log": [np.log, lambda x: 1.0 / x], + "logit": [lambda x: np.log(x / (1.0 - x)), lambda x: 1.0 / (x * (1.0 - x))], + "exp": [np.exp, np.exp], + "expit": [ + lambda x: 1.0 / (1.0 + np.exp(-x)), + lambda x: np.exp(-x) / (1.0 + np.exp(-x)) ** 2, + ], } TRANSFORM_LIST = list(TRANSFORM_DICT.keys()) FUNCTION_LIST = [transform_data, delta_method] -VALS = [0.1]*2 +VALS = [0.1] * 2 -@pytest.mark.parametrize('transform', TRANSFORM_LIST) +@pytest.mark.parametrize("transform", TRANSFORM_LIST) def test_method_name_valid(transform): """Raise ValueError for invalue `method`.""" with pytest.raises(ValueError): - transform_data(VALS, VALS, transform, method='dummy') + transform_data(VALS, VALS, transform, method="dummy") -@pytest.mark.parametrize('function', FUNCTION_LIST) -@pytest.mark.parametrize('transform', TRANSFORM_LIST) +@pytest.mark.parametrize("function", FUNCTION_LIST) +@pytest.mark.parametrize("transform", TRANSFORM_LIST) def test_input_len_match(function, transform): """Raise ValueError if lengths of input vectors don't match.""" with pytest.raises(ValueError): - function(VALS, VALS*2, transform) + function(VALS, VALS * 2, transform) -@pytest.mark.parametrize('function', FUNCTION_LIST) -@pytest.mark.parametrize('transform', TRANSFORM_LIST) +@pytest.mark.parametrize("function", FUNCTION_LIST) +@pytest.mark.parametrize("transform", TRANSFORM_LIST) def test_sigma_negative(function, transform): """Raise ValueError if `sigma` contains negative values.""" vals = VALS + [-0.1] @@ -49,8 +43,8 @@ def test_sigma_negative(function, transform): function(vals, vals, transform) -@pytest.mark.parametrize('function', FUNCTION_LIST) -@pytest.mark.parametrize('transform', TRANSFORM_LIST) +@pytest.mark.parametrize("function", FUNCTION_LIST) +@pytest.mark.parametrize("transform", TRANSFORM_LIST) def test_sigma_zero(function, transform): """Display warning if `sigma` contains zeros.""" vals = VALS + [0.0] @@ -58,15 +52,15 @@ def test_sigma_zero(function, transform): function(vals, vals, transform) -@pytest.mark.parametrize('function', FUNCTION_LIST) +@pytest.mark.parametrize("function", FUNCTION_LIST) def test_transform_name_valid(function): """Raise ValueError for invalid `transform`.""" with pytest.raises(ValueError): - function(VALS, VALS, 'dummy') + function(VALS, VALS, "dummy") -@pytest.mark.parametrize('function', FUNCTION_LIST) -@pytest.mark.parametrize('transform', TRANSFORM_LIST) +@pytest.mark.parametrize("function", FUNCTION_LIST) +@pytest.mark.parametrize("transform", TRANSFORM_LIST) def test_output_type(function, transform): """Output should be numpy arrays.""" mu, sigma = function(VALS, VALS, transform) @@ -74,21 +68,21 @@ def test_output_type(function, transform): assert isinstance(sigma, np.ndarray) -@pytest.mark.parametrize('function', FUNCTION_LIST) -@pytest.mark.parametrize('transform', TRANSFORM_LIST) +@pytest.mark.parametrize("function", FUNCTION_LIST) +@pytest.mark.parametrize("transform", TRANSFORM_LIST) def test_outout_len_match(function, transform): """Length of output vectors should match.""" mu, sigma = function(VALS, VALS, transform) assert len(mu) == len(sigma) -@pytest.mark.parametrize('transform', TRANSFORM_LIST) +@pytest.mark.parametrize("transform", TRANSFORM_LIST) def test_delta_result(transform): """Check expected results.""" mu = np.random.uniform(0.1, 1.0, size=10) sigma = np.random.uniform(0.1, 1.0, size=10) mu_ref = TRANSFORM_DICT[transform][0](mu) - sigma_ref = sigma*TRANSFORM_DICT[transform][1](mu) + sigma_ref = sigma * TRANSFORM_DICT[transform][1](mu) mu_trans, sigma_trans = delta_method(mu, sigma, transform) assert np.allclose(mu_trans, mu_ref) assert np.allclose(sigma_trans, sigma_ref) From e07bc06c2ed0530f9503ebda219f87948e4fc487 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Thu, 23 May 2024 01:47:17 -0700 Subject: [PATCH 19/32] reimplement percentage change transform for experimental and implement for count data, add crude testing for both functions, and updated sphinx documentation with basics for all pages except api reference and developer guide --- docs/getting_started/index.rst | 18 ++--- docs/getting_started/installation.rst | 17 ++-- docs/getting_started/quickstart.rst | 11 ++- docs/index.rst | 5 -- docs/user_guide/cicd.rst | 9 --- docs/user_guide/documentation.rst | 8 -- docs/user_guide/index.rst | 20 ++--- docs/user_guide/percentage_change.rst | 7 ++ docs/user_guide/project_organization.rst | 7 -- docs/user_guide/simple_transformations.rst | 11 +++ docs/user_guide/style_guide.rst | 13 --- docs/user_guide/testing.rst | 8 -- src/distrx/transforms.py | 93 ++++++++++++++-------- tests/test_transforms.py | 27 ++++++- 14 files changed, 135 insertions(+), 119 deletions(-) delete mode 100644 docs/user_guide/cicd.rst delete mode 100644 docs/user_guide/documentation.rst create mode 100644 docs/user_guide/percentage_change.rst delete mode 100644 docs/user_guide/project_organization.rst create mode 100644 docs/user_guide/simple_transformations.rst delete mode 100644 docs/user_guide/style_guide.rst delete mode 100644 docs/user_guide/testing.rst diff --git a/docs/getting_started/index.rst b/docs/getting_started/index.rst index 9445de6..ad43ac6 100644 --- a/docs/getting_started/index.rst +++ b/docs/getting_started/index.rst @@ -3,23 +3,15 @@ Getting started .. toctree:: :hidden: - + installation quickstart -.. note:: - - This page can be used to introduce some basic concepts to beginners. - It should be welcoming and not technical. - You can also use it address some of the pre-requisites for the package. - - -Welcome to PyPkg! +Welcome to distrx! ----------------- -PyPkg package is a template package. -It tries to show the basic bone structure of a package with minimal functionality. -It is meant to be used as a starting point for new packages. +distrx allows you to calculate uncertainty when you need to apply a function to your data, such as +the log function, as well as various other transformations -For installing the package please check :ref:`Installing PyPkg`. +For installing the package please check :ref:`Installing distrx`. For a simple example please check :ref:`Quickstart`. \ No newline at end of file diff --git a/docs/getting_started/installation.rst b/docs/getting_started/installation.rst index 647d269..617c4c3 100644 --- a/docs/getting_started/installation.rst +++ b/docs/getting_started/installation.rst @@ -1,26 +1,27 @@ ================ -Installing pypkg +Installing distrx ================ Python version -------------- -The package :code:`pypkg` is written in Python -and requires Python 3.10 or later. +The package :code:`distrx` is written in Python +and requires Python 3.12 or later. -:code:`pypkg` package is distributed at -`PyPI `_. +:code:`distrx` package is distributed at +.. `PyPI `_. +TBD To install the package: .. code:: - pip install pypkg + pip install distrx For developers, you can clone the repository and install the package in the development mode. .. code:: - git clone https://github.com/ihmeuw-msca/pypkg.git - cd pypkg + git clone https://github.com/ihmeuw-msca/distrx.git + cd distrx pip install -e ".[test,docs]" \ No newline at end of file diff --git a/docs/getting_started/quickstart.rst b/docs/getting_started/quickstart.rst index a34ff4c..df1d81e 100644 --- a/docs/getting_started/quickstart.rst +++ b/docs/getting_started/quickstart.rst @@ -7,7 +7,12 @@ Example .. code-block:: python - from pypkg.example import add + from distrx.transforms import distrx.transform_data - result = add(1, 2) - assert result == 3 + mu = [1, 2, 3] + sigma = [0.2, 0.4, 0.6] + transform = "log" + method = "delta" + mu_transformed, sigma_transformed = transform_data(mu, sigma, transform, method) + assert mu_transformed = [0, 0.69, 1.1] + assert sigma_transformed = [0.2, 0.2, 0.2] diff --git a/docs/index.rst b/docs/index.rst index 26af88e..e7cbb8c 100644 --- a/docs/index.rst +++ b/docs/index.rst @@ -9,11 +9,6 @@ distrx documentation api_reference/index developer_guide/index -.. note:: - - In this page, please use one or two paragraphs to summarize the main purpose of the package. - Following the summary, please provide guidence of how people should use this documentation. - Statistics like variance and SE (standard error) are a measure of spread in data. When shifting all of your data up or down (i.e. adding and subtracting a constant from your data), you need not worry about tinkering with the variance or SE calculations. diff --git a/docs/user_guide/cicd.rst b/docs/user_guide/cicd.rst deleted file mode 100644 index 342a34c..0000000 --- a/docs/user_guide/cicd.rst +++ /dev/null @@ -1,9 +0,0 @@ -CI/CD -===== - -.. admonition:: Working in progress... - :class: attention - - * introduce some basic concept of continuous integration and deployment - * introduce github workflow - * introduce badges \ No newline at end of file diff --git a/docs/user_guide/documentation.rst b/docs/user_guide/documentation.rst deleted file mode 100644 index d2ca5f5..0000000 --- a/docs/user_guide/documentation.rst +++ /dev/null @@ -1,8 +0,0 @@ -Documentation -============= - -.. admonition:: Working in progress... - :class: attention - - * introduce sphinx - * describe the multi-version documentation building process \ No newline at end of file diff --git a/docs/user_guide/index.rst b/docs/user_guide/index.rst index dcdacd8..3483dde 100644 --- a/docs/user_guide/index.rst +++ b/docs/user_guide/index.rst @@ -5,18 +5,18 @@ User guide :hidden: :numbered: - project_organization - style_guide - testing - documentation - cicd + simple_transformations + percentage_change .. note:: - Please provide some intructions of how to read the user guide here. - For example where should a user start and what order of reading should one follow. + Follow the titles in the sidebar for more information on the general type of transformation you + are performing on your data to use this user guide -This user guide introduces and explains some key concepts when building a Python package. -If you are a new user starting out your Python package journey, we recommend you to start with the -:ref:`Project organization` and read each section in order. \ No newline at end of file +This user guide introduces and explains some key concepts behind transforming data. A common pitfall +modelers fall into is to simply apply the transformation they are using for their data (e.g. log) to +their standard errors as well. However, due to the nature of standard error calculation, this +will provide completely incorrect standard errors. In order to compute the standard error of data +after functions have been applied, or when functions of multiple variables are involved, more +complex transformation methods such as those based on the delta method are required. \ No newline at end of file diff --git a/docs/user_guide/percentage_change.rst b/docs/user_guide/percentage_change.rst new file mode 100644 index 0000000..fce23ec --- /dev/null +++ b/docs/user_guide/percentage_change.rst @@ -0,0 +1,7 @@ +Percentage Change +============= + +Currently percentage change is implemented in two ways. You can either provide raw data in the form +of observations from 2 separate, equally sized samples (as you would have from an experiment) or +raw counts with the separate, not necessarily equal sample sizes (as you would have from incidence +counts at two separate times) \ No newline at end of file diff --git a/docs/user_guide/project_organization.rst b/docs/user_guide/project_organization.rst deleted file mode 100644 index 5dc47df..0000000 --- a/docs/user_guide/project_organization.rst +++ /dev/null @@ -1,7 +0,0 @@ -Project organization -==================== - -.. admonition:: Working in progress... - :class: Attention - - Explain what different files and folders in the repo mean... \ No newline at end of file diff --git a/docs/user_guide/simple_transformations.rst b/docs/user_guide/simple_transformations.rst new file mode 100644 index 0000000..588aedf --- /dev/null +++ b/docs/user_guide/simple_transformations.rst @@ -0,0 +1,11 @@ +Simple Transformations +===== + +There are currently 4 simple transformations implemented in distrx: + * log + * logit + * exp + * expit + +These transformations are implemented using the first order delta method, which works in these +cases as all of the transformations listed are continuous and differentiable. \ No newline at end of file diff --git a/docs/user_guide/style_guide.rst b/docs/user_guide/style_guide.rst deleted file mode 100644 index fbff5be..0000000 --- a/docs/user_guide/style_guide.rst +++ /dev/null @@ -1,13 +0,0 @@ -Style guide -=========== - -.. admonition:: Working in progress... - :class: Attention - - Current topics - - * PEP8 - * naming - * linter/formatter - * docstrings - * type hints diff --git a/docs/user_guide/testing.rst b/docs/user_guide/testing.rst deleted file mode 100644 index 60c9de9..0000000 --- a/docs/user_guide/testing.rst +++ /dev/null @@ -1,8 +0,0 @@ -Testing -======= - -.. admonition:: Working in progress... - :class: attention - - * introduce Pytest - * introduce test covarage diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index 2ac29a7..a93d737 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -243,56 +243,81 @@ def delta_method( return transformer.get_mu_trans(), transformer.get_sigma_trans() -def transform_percentage_change(mu_x, mu_y, sigma_x, sigma_y, sigma_xy, n): - """Bias-corrected percentage change w/delta transform standard error +def transform_percentage_change( + x_vec: npt.ArrayLike, y_vec: npt.ArrayLike +) -> Tuple[float, float]: + """bias corrected percentage change with transformed standard error Parameters ---------- - mu_x : array_like - Sample statistics - mu_y : array_like - Sample statistics - sigma_x : array_like - Standard errors - sigma_y : array_like - Standard errors - sigma_xy : array_like - Covariance - n : array_like - Sample sizes + x_vec : array_like + observations from first sample + y_vec : array_like + observations from second sample Returns ------- - p_hat: numpy.ndarray # TODO: ENSURE THIS IS NUMPY ARRAY - bias corrected estimator of percentage change - sigma_trans: numpy.ndarray # TODO: ENSURE THIS IS NUMPY ARRAY - delta method estimator of standard error + p_hat : float + bias corrected percentage change + sigma_trans : float + standard error in the transformed space + + Raises + ------ + ValueError + covariance is not possible to calculate when x and y are different lengths """ - # TODO: IT MAY BE POSSIBLE TO BACKCALCULATE SAMPLE SIZE FROM STD ERROR - # TODO: CONSIDER BINOMIAL DISTRIBUTION + if len(x_vec) != len(y_vec): + raise ValueError("x_vec must be the same length as y_vec") + mu_x = np.mean(x_vec) + mu_y = np.mean(y_vec) + n = len(x_vec) + cov = np.cov(x_vec, y_vec) + sigma2_x = cov[0, 0] + sigma2_y = cov[1, 1] + sigma_xy = cov[0, 1] + delta_hat = (mu_y - mu_x) / mu_x - bias_corr = (mu_y * sigma_x**2 - sigma_xy) / ((n * mu_x) ** 2) + bias_corr = (mu_y * sigma2_x) / ((n * mu_x) ** 2) + p_hat = delta_hat + bias_corr + sigma_trans = ( - (sigma_y**2 / mu_x**2) + (sigma2_y / mu_x**2) - (2 * mu_y * sigma_xy / (mu_x**3)) - + (mu_y**2 * sigma_x**2 / (mu_x**4)) + + (mu_y**2 * sigma2_x / (mu_x**4)) ) - p_hat = delta_hat + bias_corr + return p_hat, np.sqrt(sigma_trans) -def transform_percentage_change_binom(c_x, n_x, c_y, n_y): +def transform_percentage_change_counts( + c_x: int, n_x: int, c_y: int, n_y: int +) -> float: + """alternative percentage change transformation with only counts provided + + Parameters + ---------- + c_x : int + raw count in one sample (e.g. of incidence) + n_x : int + sample size + c_y : int + raw count in second sample (e.g. of incidence) + n_y : int + sample size + + Returns + ------- + sigma_trans: array_like + standard errors in the transform space + """ mu_x = c_x / n_x mu_y = c_y / n_y - sigma_x = mu_x * (1 - mu_x) - sigma_y = mu_y * (1 - mu_y) - # source for sigma_xy: https://stats.stackexchange.com/a/417367 - sigma_xy = np.min([mu_x, mu_y]) - sigma_trans = ( - (sigma_y**2 / mu_x**2) - - (2 * mu_y * sigma_xy / (mu_x**3)) - + (mu_y**2 * sigma_x**2 / (mu_x**4)) - ) + sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) + sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_x - c_y) * mu_y**2) / (n_y - 1) + + sigma_trans = (sigma2_y / mu_x**2) + (mu_y**2 * sigma2_x / (mu_x**4)) + return sigma_trans diff --git a/tests/test_transforms.py b/tests/test_transforms.py index 6321f7b..6432fed 100644 --- a/tests/test_transforms.py +++ b/tests/test_transforms.py @@ -3,7 +3,12 @@ import numpy as np import pytest -from distrx.transforms import delta_method, transform_data +from distrx.transforms import ( + delta_method, + transform_data, + transform_percentage_change, + transform_percentage_change_counts, +) TRANSFORM_DICT = { "log": [np.log, lambda x: 1.0 / x], @@ -86,3 +91,23 @@ def test_delta_result(transform): mu_trans, sigma_trans = delta_method(mu, sigma, transform) assert np.allclose(mu_trans, mu_ref) assert np.allclose(sigma_trans, sigma_ref) + + +def test_percentage_change(): + x = np.random.normal(1, 0.1, 1000) + y = np.random.normal(1.1, 0.1, 1000) + z = np.random.normal(1, 0.1, 1001) + p, sigma = transform_percentage_change(x, y) + assert 0 < p and p < 1 + assert 0 < sigma and sigma < 1 + with pytest.raises(ValueError): + transform_percentage_change(x, z) + + +def test_percentage_change_counts(): + x = np.random.choice([0, 1], size=1000, p=[0.1, 0.9]) + y = np.random.choice([0, 1], size=1100, p=[0.2, 0.8]) + sigma = transform_percentage_change_counts( + (x == 1).sum(), len(x), (y == 1).sum(), len(y) + ) + assert 0 < sigma and sigma < 1 From fd2bbd41ff745e660c171a05cb4a8e721e8c3be6 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Thu, 20 Jun 2024 16:44:38 -0700 Subject: [PATCH 20/32] create 2 versions of transform percentage change function, add jupyter notebook with simulations --- .vscode/launch.json | 15 +++ simulations.ipynb | 266 +++++++++++++++++++++++++++++++++++++++ src/distrx/transforms.py | 44 ++++++- tests/test_transforms.py | 6 +- 4 files changed, 326 insertions(+), 5 deletions(-) create mode 100644 .vscode/launch.json create mode 100644 simulations.ipynb diff --git a/.vscode/launch.json b/.vscode/launch.json new file mode 100644 index 0000000..e0121b7 --- /dev/null +++ b/.vscode/launch.json @@ -0,0 +1,15 @@ +{ + // Use IntelliSense to learn about possible attributes. + // Hover to view descriptions of existing attributes. + // For more information, visit: https://go.microsoft.com/fwlink/?linkid=830387 + "version": "0.2.0", + "configurations": [ + { + "name": "Python Debugger: Current File", + "type": "debugpy", + "request": "launch", + "program": "${file}", + "console": "integratedTerminal" + } + ] +} \ No newline at end of file diff --git a/simulations.ipynb b/simulations.ipynb new file mode 100644 index 0000000..7ce5be2 --- /dev/null +++ b/simulations.ipynb @@ -0,0 +1,266 @@ +{ + "cells": [ + { + "cell_type": "code", + "execution_count": 1, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n", + "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n" + ] + } + ], + "source": [ + "import numpy as np\n", + "import matplotlib.pyplot as plt\n", + "from distrx.transforms import (\n", + " delta_method,\n", + " transform_data,\n", + " transform_percentage_change,\n", + " transform_percentage_change_counts1,\n", + " transform_percentage_change_counts2\n", + ")\n", + "NREP = 300\n", + "Q = 1.96" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Univariate Simulations" + ] + }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_12398/746050651.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_tx = transform_data([x_bar], [sigma_hat], \"log\", \"delta\")\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_12398/746050651.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_tx / np.sqrt(N)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_12398/746050651.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_tx / np.sqrt(N)\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CI coverage rate: 288\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# log transformation\n", + "MU = 4\n", + "SIGMA = 1\n", + "N = 100\n", + "LOG_MU = np.log(MU)\n", + "coverages = np.zeros(NREP)\n", + "mu_txs = np.zeros(NREP)\n", + "ci_uppers = np.zeros(NREP)\n", + "ci_lowers = np.zeros(NREP)\n", + "\n", + "for i in range(NREP):\n", + " data = np.random.normal(MU, SIGMA, N)\n", + " x_bar = np.mean(data)\n", + " sigma_hat = np.std(data)\n", + " mu_txs[i], sigma_tx = transform_data([x_bar], [sigma_hat], \"log\", \"delta\")\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_tx / np.sqrt(N)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_tx / np.sqrt(N)\n", + " if (ci_lowers[i] < LOG_MU and LOG_MU < ci_uppers[i]):\n", + " coverages[i] = 1\n", + "\n", + "coverage_pct = (coverages == 1).sum()\n", + "print(\"CI coverage rate: \", coverage_pct)\n", + "\n", + "# plotting\n", + "line_width = 0.75\n", + "cap_size = 2\n", + "marker_size = 3\n", + "plt.figure(figsize=(17, 6))\n", + "for i in range(NREP):\n", + " if coverages[i] == 1:\n", + " plt.errorbar(i, mu_txs[i], elinewidth=line_width,\n", + " yerr=[[mu_txs[i]- ci_lowers[i]], [ci_uppers[i] - mu_txs[i]]],\n", + " fmt=\"o\", color=\"blue\", ecolor=\"blue\", capsize=cap_size, markersize=marker_size)\n", + " else:\n", + " plt.errorbar(i, mu_txs[i], elinewidth=line_width,\n", + " yerr=[[mu_txs[i] - ci_lowers[i]], [ci_uppers[i] - mu_txs[i]]],\n", + " fmt=\"o\", color=\"red\", ecolor=\"red\", capsize=cap_size, markersize=marker_size)\n", + "\n", + "plt.axhline(y=LOG_MU, color='gray', linestyle='--')\n", + "plt.xlabel('SampleID')\n", + "plt.ylabel(\"Mean\")\n", + "plt.title(\"95% CIs using Delta Method SE for log transform\")\n", + "plt.legend([\"True Mean\"], loc=\"upper right\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Bivariate Simulations" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Percentage Change\n", + "* the function that currently works as intended calculates percentage change in prevalence rates\n", + " * note: prevalence is analogous to mean, just with binary data\n", + "* the function that simply calculates percentage change in counts does not currently work\n", + " * in my experience, the RV is a function of consistent estimators, counts don't fall into that category\n", + " * not completely certain that the above *must* be the case, perhaps just computing variance incorrectly?\n", + " * tried both the formula in our overleaf and simply $np(1 - p)$ for variance" + ] + }, + { + "cell_type": "code", + "execution_count": 3, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "True percentage change in proportions: 0.04081632653061229\n", + "10 replications of incidence counts in year 1: [473 507 492 479 491 475 465 509 504]\n" + ] + } + ], + "source": [ + "# parameters for population sizes and prevalence\n", + "Y1_POP, Y1_PREV = 1000, 0.49\n", + "Y2_POP, Y2_PREV = 1050, (Y1_PREV + 0.02)\n", + "\n", + "# simulate incidence from 2 years w/differing aforementioned parameters\n", + "y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", + "y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", + "\n", + "# true difference in prevalence\n", + "TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", + "print(\"True percentage change in proportions: \", TRUE_DIFF)\n", + "print(\"10 replications of incidence counts in year 1: \", y1_incid[0:9])" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "CI coverage rate: 0.95\n" + ] + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "coverages = np.zeros(NREP)\n", + "mu_txs = np.zeros(NREP)\n", + "ci_uppers = np.zeros(NREP)\n", + "ci_lowers = np.zeros(NREP)\n", + "y1_rep1 = y1_incid[0]\n", + "y2_rep1 = y2_incid[0]\n", + "\n", + "# print(transform_percentage_change_counts1(y1_rep1, Y1_POP, y2_rep1, Y2_POP))\n", + "# print(transform_percentage_change_counts2(y1_rep1, Y1_POP, y2_rep1, Y2_POP))\n", + "\n", + "for i in range(NREP):\n", + " mu_txs[i], sigma_hat = transform_percentage_change_counts2(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " # print(delta_hat, sigma_hat)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", + " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", + " coverages[i] = 1\n", + "\n", + "coverage_pct = (coverages == 1).sum() / NREP\n", + "print(\"CI coverage rate: \", coverage_pct)\n", + "\n", + "line_width = 0.75\n", + "cap_size = 2\n", + "marker_size = 3\n", + "plt.figure(figsize=(17, 6))\n", + "for i in range(NREP):\n", + " if coverages[i] == 1:\n", + " plt.errorbar(i, mu_txs[i], elinewidth=line_width,\n", + " yerr=[[mu_txs[i]- ci_lowers[i]], [ci_uppers[i] - mu_txs[i]]],\n", + " fmt=\"o\", color=\"blue\", ecolor=\"blue\", capsize=cap_size, markersize=marker_size)\n", + " else:\n", + " plt.errorbar(i, mu_txs[i], elinewidth=line_width,\n", + " yerr=[[mu_txs[i] - ci_lowers[i]], [ci_uppers[i] - mu_txs[i]]],\n", + " fmt=\"o\", color=\"red\", ecolor=\"red\", capsize=cap_size, markersize=marker_size)\n", + "\n", + "plt.axhline(y=TRUE_DIFF, color='gray', linestyle='--')\n", + "plt.xlabel('SampleID')\n", + "plt.ylabel(\"Mean\")\n", + "plt.title(\"95% CIs using Delta Method SE for percentage change\")\n", + "plt.legend([\"True Mean\"], loc=\"upper right\")\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It seems as though the CI length is wider than it should be at more extreme values of prevalence (i.e. those near 0 or 1). This is probably due to the fact that when computing the CI, the standard error was divided by the sample size of the first year. Unclear as to what it should be instead, any suggestions?" + ] + } + ], + "metadata": { + "kernelspec": { + "display_name": "ihme", + "language": "python", + "name": "python3" + }, + "language_info": { + "codemirror_mode": { + "name": "ipython", + "version": 3 + }, + "file_extension": ".py", + "mimetype": "text/x-python", + "name": "python", + "nbconvert_exporter": "python", + "pygments_lexer": "ipython3", + "version": "3.12.3" + }, + "orig_nbformat": 4 + }, + "nbformat": 4, + "nbformat_minor": 2 +} diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index a93d737..0139c92 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -278,6 +278,7 @@ def transform_percentage_change( sigma_xy = cov[0, 1] delta_hat = (mu_y - mu_x) / mu_x + # TODO: add option instead of doing this by default bias_corr = (mu_y * sigma2_x) / ((n * mu_x) ** 2) p_hat = delta_hat + bias_corr @@ -290,7 +291,42 @@ def transform_percentage_change( return p_hat, np.sqrt(sigma_trans) -def transform_percentage_change_counts( +def transform_percentage_change_counts1( + c_x: int, n_x: int, c_y: int, n_y: int +) -> float: + """alternative percentage change transformation with only counts provided + + Parameters + ---------- + c_x : int + raw count in one sample (e.g. of incidence) + n_x : int + sample size + c_y : int + raw count in second sample (e.g. of incidence) + n_y : int + sample size + + Returns + ------- + sigma_trans: array_like + standard errors in the transform space + """ + mu_x = c_x / n_x + mu_y = c_y / n_y + # sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) + # sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) + sigma2_x = n_x * mu_x * (1 - mu_x) + sigma2_y = n_y * mu_y * (1 - mu_y) + + # sigma_trans = (sigma2_y / mu_x**2) + (mu_y**2 * sigma2_x / (mu_x**4)) + sigma_trans = (sigma2_y / c_x**2) + (c_y**2 * sigma2_x / (c_x**4)) + print(sigma2_x, sigma2_y) + + return ((c_y / c_x) - 1), np.sqrt(sigma_trans) + + +def transform_percentage_change_counts2( c_x: int, n_x: int, c_y: int, n_y: int ) -> float: """alternative percentage change transformation with only counts provided @@ -314,11 +350,13 @@ def transform_percentage_change_counts( mu_x = c_x / n_x mu_y = c_y / n_y sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) - sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_x - c_y) * mu_y**2) / (n_y - 1) + sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) + # print("look", sigma2_x, sigma2_y) sigma_trans = (sigma2_y / mu_x**2) + (mu_y**2 * sigma2_x / (mu_x**4)) + # sigma_trans = (sigma2_y / c_x**2) + (c_y**2 * sigma2_x / (c_x**4)) - return sigma_trans + return ((mu_y / mu_x) - 1), np.sqrt(sigma_trans) def _check_input( diff --git a/tests/test_transforms.py b/tests/test_transforms.py index 6432fed..8380e05 100644 --- a/tests/test_transforms.py +++ b/tests/test_transforms.py @@ -1,3 +1,4 @@ +# TODO: CHANGE TESTS TO INCORPORATE POINT ESTIMATE """Tests for transforms.py module.""" import numpy as np @@ -7,7 +8,7 @@ delta_method, transform_data, transform_percentage_change, - transform_percentage_change_counts, + transform_percentage_change_counts2, ) TRANSFORM_DICT = { @@ -107,7 +108,8 @@ def test_percentage_change(): def test_percentage_change_counts(): x = np.random.choice([0, 1], size=1000, p=[0.1, 0.9]) y = np.random.choice([0, 1], size=1100, p=[0.2, 0.8]) - sigma = transform_percentage_change_counts( + mu, sigma = transform_percentage_change_counts2( (x == 1).sum(), len(x), (y == 1).sum(), len(y) ) + assert -1 <= mu and mu < np.infty assert 0 < sigma and sigma < 1 From c3d93ae9c49841f495a817950fbb2d610025a8bb Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Thu, 20 Jun 2024 16:45:24 -0700 Subject: [PATCH 21/32] remove extraneous TODO comment --- tests/test_transforms.py | 1 - 1 file changed, 1 deletion(-) diff --git a/tests/test_transforms.py b/tests/test_transforms.py index 8380e05..50f6f41 100644 --- a/tests/test_transforms.py +++ b/tests/test_transforms.py @@ -1,4 +1,3 @@ -# TODO: CHANGE TESTS TO INCORPORATE POINT ESTIMATE """Tests for transforms.py module.""" import numpy as np From 76371ce21268942e4c04a74f3ade0537e33abf95 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Thu, 27 Jun 2024 13:26:47 -0700 Subject: [PATCH 22/32] add functionality to handle differnet input types, testing, and more simulation code for transform_percentage_change_counts --- simulations.ipynb | 285 +++++++++++++++++++++++++++++++-------- src/distrx/transforms.py | 65 +++++++-- tests/test_transforms.py | 30 ++++- 3 files changed, 307 insertions(+), 73 deletions(-) diff --git a/simulations.ipynb b/simulations.ipynb index 7ce5be2..f0613e1 100644 --- a/simulations.ipynb +++ b/simulations.ipynb @@ -28,6 +28,37 @@ "Q = 1.96" ] }, + { + "cell_type": "code", + "execution_count": 2, + "metadata": {}, + "outputs": [], + "source": [ + "# helper functions\n", + "def plot_simulation(coverages: np.ndarray, mu_txs: np.ndarray, ci_lowers: np.ndarray, ci_uppers: np.ndarray,\n", + " truth: float, transform: str, line_width=0.75, cap_size=2, marker_size=3, fig_size=(17, 6)):\n", + " \"\"\"\n", + " creates plot of CI coverage simulation\n", + " \"\"\"\n", + " plt.figure(figsize=fig_size)\n", + " for i in range(NREP):\n", + " if coverages[i] == 1:\n", + " plt.errorbar(i, mu_txs[i], elinewidth=line_width,\n", + " yerr=[[mu_txs[i]- ci_lowers[i]], [ci_uppers[i] - mu_txs[i]]],\n", + " fmt=\"o\", color=\"blue\", ecolor=\"blue\", capsize=cap_size, markersize=marker_size)\n", + " else:\n", + " plt.errorbar(i, mu_txs[i], elinewidth=line_width,\n", + " yerr=[[mu_txs[i] - ci_lowers[i]], [ci_uppers[i] - mu_txs[i]]],\n", + " fmt=\"o\", color=\"red\", ecolor=\"red\", capsize=cap_size, markersize=marker_size)\n", + "\n", + " plt.axhline(y=truth, color='gray', linestyle='--')\n", + " plt.xlabel(\"replication no.\")\n", + " plt.ylabel(\"Mean\")\n", + " plt.title(\"95% CIs using Delta Method SE for \" + transform)\n", + " plt.legend([\"True Mean\"], loc=\"upper right\")\n", + " plt.show()" + ] + }, { "cell_type": "markdown", "metadata": {}, @@ -37,18 +68,18 @@ }, { "cell_type": "code", - "execution_count": 2, + "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_12398/746050651.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_19434/1300529156.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " mu_txs[i], sigma_tx = transform_data([x_bar], [sigma_hat], \"log\", \"delta\")\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_12398/746050651.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_19434/1300529156.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_tx / np.sqrt(N)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_12398/746050651.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_19434/1300529156.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_tx / np.sqrt(N)\n" ] }, @@ -56,12 +87,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "CI coverage rate: 288\n" + "CI coverage rate: 0.9466666666666667\n" ] }, { "data": { - "image/png": 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"text/plain": [ "
" ] @@ -91,30 +122,11 @@ " if (ci_lowers[i] < LOG_MU and LOG_MU < ci_uppers[i]):\n", " coverages[i] = 1\n", "\n", - "coverage_pct = (coverages == 1).sum()\n", + "coverage_pct = (coverages == 1).sum() / NREP\n", "print(\"CI coverage rate: \", coverage_pct)\n", "\n", "# plotting\n", - "line_width = 0.75\n", - "cap_size = 2\n", - "marker_size = 3\n", - "plt.figure(figsize=(17, 6))\n", - "for i in range(NREP):\n", - " if coverages[i] == 1:\n", - " plt.errorbar(i, mu_txs[i], elinewidth=line_width,\n", - " yerr=[[mu_txs[i]- ci_lowers[i]], [ci_uppers[i] - mu_txs[i]]],\n", - " fmt=\"o\", color=\"blue\", ecolor=\"blue\", capsize=cap_size, markersize=marker_size)\n", - " else:\n", - " plt.errorbar(i, mu_txs[i], elinewidth=line_width,\n", - " yerr=[[mu_txs[i] - ci_lowers[i]], [ci_uppers[i] - mu_txs[i]]],\n", - " fmt=\"o\", color=\"red\", ecolor=\"red\", capsize=cap_size, markersize=marker_size)\n", - "\n", - "plt.axhline(y=LOG_MU, color='gray', linestyle='--')\n", - "plt.xlabel('SampleID')\n", - "plt.ylabel(\"Mean\")\n", - "plt.title(\"95% CIs using Delta Method SE for log transform\")\n", - "plt.legend([\"True Mean\"], loc=\"upper right\")\n", - "plt.show()" + "plot_simulation(coverages, mu_txs, ci_lowers, ci_uppers, LOG_MU, \"log transform\")" ] }, { @@ -139,48 +151,52 @@ }, { "cell_type": "code", - "execution_count": 3, + "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "True percentage change in proportions: 0.04081632653061229\n", - "10 replications of incidence counts in year 1: [473 507 492 479 491 475 465 509 504]\n" + "True percentage change in proportions: 0.050000000000000044\n", + "10 replications of incidence counts in year 1: [398 403 399 407 424 389 378 406 397]\n" ] } ], "source": [ "# parameters for population sizes and prevalence\n", - "Y1_POP, Y1_PREV = 1000, 0.49\n", + "Y1_POP, Y1_PREV = 1000, 0.4\n", "Y2_POP, Y2_PREV = 1050, (Y1_PREV + 0.02)\n", "\n", "# simulate incidence from 2 years w/differing aforementioned parameters\n", "y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", "y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", "\n", + "# y1_incid = np.random.poisson(300, size=NREP)\n", + "# y2_incid = np.random.poisson(350, size=NREP)\n", + "\n", "# true difference in prevalence\n", "TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", + "# TRUE_DIFF = (350 / 300) - 1\n", "print(\"True percentage change in proportions: \", TRUE_DIFF)\n", "print(\"10 replications of incidence counts in year 1: \", y1_incid[0:9])" ] }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CI coverage rate: 0.95\n" + "CI coverage rate: 0.9433333333333334\n" ] }, { "data": { - "image/png": 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" ] @@ -190,6 +206,7 @@ } ], "source": [ + "# TODO: document coverage with graphs in the tails\n", "coverages = np.zeros(NREP)\n", "mu_txs = np.zeros(NREP)\n", "ci_uppers = np.zeros(NREP)\n", @@ -198,39 +215,25 @@ "y2_rep1 = y2_incid[0]\n", "\n", "# print(transform_percentage_change_counts1(y1_rep1, Y1_POP, y2_rep1, Y2_POP))\n", + "# print(np.var(y1_incid, ddof=1))\n", "# print(transform_percentage_change_counts2(y1_rep1, Y1_POP, y2_rep1, Y2_POP))\n", - "\n", + "# raise KeyboardInterrupt\n", + "# TODO: ask Kelsey for function interface options\n", + "# TODO: get some slides together for high level issue and consequence descriptoin\n", "for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_percentage_change_counts2(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", " # print(delta_hat, sigma_hat)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", + " # ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + " # ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", " coverages[i] = 1\n", "\n", "coverage_pct = (coverages == 1).sum() / NREP\n", "print(\"CI coverage rate: \", coverage_pct)\n", "\n", - "line_width = 0.75\n", - "cap_size = 2\n", - "marker_size = 3\n", - "plt.figure(figsize=(17, 6))\n", - "for i in range(NREP):\n", - " if coverages[i] == 1:\n", - " plt.errorbar(i, mu_txs[i], elinewidth=line_width,\n", - " yerr=[[mu_txs[i]- ci_lowers[i]], [ci_uppers[i] - mu_txs[i]]],\n", - " fmt=\"o\", color=\"blue\", ecolor=\"blue\", capsize=cap_size, markersize=marker_size)\n", - " else:\n", - " plt.errorbar(i, mu_txs[i], elinewidth=line_width,\n", - " yerr=[[mu_txs[i] - ci_lowers[i]], [ci_uppers[i] - mu_txs[i]]],\n", - " fmt=\"o\", color=\"red\", ecolor=\"red\", capsize=cap_size, markersize=marker_size)\n", - "\n", - "plt.axhline(y=TRUE_DIFF, color='gray', linestyle='--')\n", - "plt.xlabel('SampleID')\n", - "plt.ylabel(\"Mean\")\n", - "plt.title(\"95% CIs using Delta Method SE for percentage change\")\n", - "plt.legend([\"True Mean\"], loc=\"upper right\")\n", - "plt.show()" + "plot_simulation(coverages, mu_txs, ci_lowers, ci_uppers, TRUE_DIFF, \"percent change transform\")" ] }, { @@ -239,6 +242,176 @@ "source": [ "It seems as though the CI length is wider than it should be at more extreme values of prevalence (i.e. those near 0 or 1). This is probably due to the fact that when computing the CI, the standard error was divided by the sample size of the first year. Unclear as to what it should be instead, any suggestions?" ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.01 0.06 0.11 0.16 0.21 0.26 0.31 0.36 0.41 0.46 0.51 0.56 0.61 0.66\n", + " 0.71 0.76 0.81 0.86 0.91 0.96] [0.9466666666666667, 0.9466666666666667, 0.94, 0.9766666666666667, 0.9633333333333334, 0.96, 0.9466666666666667, 0.94, 0.95, 0.9466666666666667, 0.9766666666666667, 0.97, 0.9533333333333334, 0.9533333333333334, 0.9433333333333334, 0.9333333333333333, 0.9433333333333334, 0.95, 0.9466666666666667, 0.94]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "y1_prevalences = np.arange(0.01, 1, 0.05)\n", + "all_coverages = []\n", + "for y1_prev in y1_prevalences:\n", + " coverages = np.zeros(NREP)\n", + " mu_txs = np.zeros(NREP)\n", + " ci_uppers = np.zeros(NREP)\n", + " ci_lowers = np.zeros(NREP)\n", + " Y1_POP, Y1_PREV = 1000, y1_prev\n", + " Y2_POP, Y2_PREV = 1050, (Y1_PREV + 0.02)\n", + " TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", + "\n", + " # simulate incidence from 2 years w/differing aforementioned parameters\n", + " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", + " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", + " for i in range(NREP):\n", + " mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " # print(delta_hat, sigma_hat)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", + " # ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + " # ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", + " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", + " coverages[i] = 1\n", + " all_coverages.append((coverages == 1).sum() / NREP)\n", + "print(y1_prevalences, all_coverages)\n", + "plt.xlabel(\"y1 prevalence\")\n", + "plt.ylabel(\"coverage percentage\")\n", + "plt.title(\"coverage vs y1 prevalence\")\n", + "plt.scatter(y1_prevalences, all_coverages)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0. 1. 2. 3. 4. 5. 6. 7. 8.] [0.96, 0.9366666666666666, 0.9666666666666667, 0.94, 0.93, 0.9433333333333334, 0.9166666666666666, 0.96, 0.9533333333333334]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "y2_prevalence_incs = np.arange(0, 0.9, 0.1)\n", + "# print(y2_prevalence_incs)\n", + "all_coverages = []\n", + "for y2_prev_inc in y2_prevalence_incs:\n", + " coverages = np.zeros(NREP)\n", + " mu_txs = np.zeros(NREP)\n", + " ci_uppers = np.zeros(NREP)\n", + " ci_lowers = np.zeros(NREP)\n", + " Y1_POP, Y1_PREV = 1000, 0.1\n", + " Y2_POP, Y2_PREV = 1050, (Y1_PREV + y2_prev_inc)\n", + " TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", + "\n", + " # simulate incidence from 2 years w/differing aforementioned parameters\n", + " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", + " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", + " for i in range(NREP):\n", + " mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " # print(delta_hat, sigma_hat)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", + " # ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + " # ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", + " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", + " coverages[i] = 1\n", + " all_coverages.append((coverages == 1).sum() / NREP)\n", + "print(((y2_prevalence_incs + 0.1) / 0.1) - 1, all_coverages)\n", + "plt.xlabel(\"true delta\")\n", + "plt.ylabel(\"coverage percentage\")\n", + "plt.title(\"coverage vs true delta\")\n", + "plt.scatter(((y2_prevalence_incs + 0.1) / 0.1) - 1, all_coverages)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "ename": "TypeError", + "evalue": "unsupported operand type(s) for /: 'list' and 'int'", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mtransform_percentage_change_counts1\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m100\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1000\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m200\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1050\u001b[39;49m\u001b[43m)\u001b[49m)\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(transform_percentage_change_counts1(\u001b[38;5;241m300\u001b[39m, \u001b[38;5;241m1000\u001b[39m, \u001b[38;5;241m400\u001b[39m, \u001b[38;5;241m1050\u001b[39m))\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28mprint\u001b[39m(transform_percentage_change_counts1(np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m100\u001b[39m, \u001b[38;5;241m300\u001b[39m]), np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m1000\u001b[39m, \u001b[38;5;241m1000\u001b[39m]), np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m200\u001b[39m, \u001b[38;5;241m400\u001b[39m]), np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m1050\u001b[39m, \u001b[38;5;241m1050\u001b[39m])))\n", + "File \u001b[0;32m~/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:325\u001b[0m, in \u001b[0;36mtransform_percentage_change_counts1\u001b[0;34m(c_x, n_x, c_y, n_y)\u001b[0m\n\u001b[1;32m 305\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"alternative percentage change transformation with only counts provided\u001b[39;00m\n\u001b[1;32m 306\u001b[0m \n\u001b[1;32m 307\u001b[0m \u001b[38;5;124;03mParameters\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 321\u001b[0m \u001b[38;5;124;03m standard errors in the transform space\u001b[39;00m\n\u001b[1;32m 322\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 324\u001b[0m mu_x \u001b[38;5;241m=\u001b[39m c_x \u001b[38;5;241m/\u001b[39m n_x\n\u001b[0;32m--> 325\u001b[0m mu_y \u001b[38;5;241m=\u001b[39m \u001b[43mc_y\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mn_y\u001b[49m\n\u001b[1;32m 326\u001b[0m \u001b[38;5;66;03m# typical sample var calc\u001b[39;00m\n\u001b[1;32m 327\u001b[0m sigma2_x \u001b[38;5;241m=\u001b[39m (c_x \u001b[38;5;241m*\u001b[39m (\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m-\u001b[39m mu_x) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m+\u001b[39m (n_x \u001b[38;5;241m-\u001b[39m c_x) \u001b[38;5;241m*\u001b[39m mu_x\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m) \u001b[38;5;241m/\u001b[39m (n_x \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m)\n", + "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for /: 'list' and 'int'" + ] + } + ], + "source": [ + "print(transform_percentage_change_counts1([100], 1000, 200, 1050))\n", + "print(transform_percentage_change_counts1(300, 1000, 400, 1050))\n", + "print(transform_percentage_change_counts1(np.array([100, 300]), np.array([1000, 1000]), np.array([200, 400]), np.array([1050, 1050])))" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.00990990990990991 0.009909909909909911\n", + "1000.0000000001432 1000\n" + ] + } + ], + "source": [ + "x_bar = 0.000693\n", + "s = 2.88e-7\n", + "temp = np.zeros(Y1_POP)\n", + "y1_rep1 = 10\n", + "temp[0:y1_rep1] = 1\n", + "tempvar = np.var(temp, ddof=1)\n", + "c_x = y1_rep1\n", + "n_x = Y1_POP\n", + "mu_x = c_x / n_x\n", + "sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1)\n", + "print(tempvar, sigma2_x)\n", + "\n", + "s = np.sqrt(0.00990990990990991)\n", + "x_bar = y1_rep1 / Y1_POP\n", + "print(s**2 / (s**2 - x_bar * (1 - x_bar) * ((1 - x_bar) + x_bar)), Y1_POP)" + ] } ], "metadata": { diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index 0139c92..39b3fe2 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -15,6 +15,7 @@ import numpy as np import numpy.typing as npt +from mrtool import MRBRT, LinearCovModel, MRData class FirstOrder: @@ -291,8 +292,15 @@ def transform_percentage_change( return p_hat, np.sqrt(sigma_trans) +def handle_input_pct(c_x, n_x, c_y, n_y): + return np.array([c_x]), np.array([n_x]), np.array([c_y]), np.array([n_y]) + + def transform_percentage_change_counts1( - c_x: int, n_x: int, c_y: int, n_y: int + c_x: np.ndarray, + n_x: np.ndarray, + c_y: np.ndarray, + n_y: np.ndarray, ) -> float: """alternative percentage change transformation with only counts provided @@ -312,18 +320,31 @@ def transform_percentage_change_counts1( sigma_trans: array_like standard errors in the transform space """ + c_x, n_x, c_y, n_y = handle_input_pct(c_x, n_x, c_y, n_y) + mu_x = c_x / n_x mu_y = c_y / n_y - # sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) - # sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) - sigma2_x = n_x * mu_x * (1 - mu_x) - sigma2_y = n_y * mu_y * (1 - mu_y) + # typical sample var calc + sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) + sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) - # sigma_trans = (sigma2_y / mu_x**2) + (mu_y**2 * sigma2_x / (mu_x**4)) - sigma_trans = (sigma2_y / c_x**2) + (c_y**2 * sigma2_x / (c_x**4)) - print(sigma2_x, sigma2_y) + # var for p assuming binomial model + # sigma2_x = mu_x * (1 - mu_x) / n_x + # sigma2_y = mu_y * (1 - mu_y) / n_y - return ((c_y / c_x) - 1), np.sqrt(sigma_trans) + # var for p assuming beta prior + # sigma2_x = ( + # (mu_x * c_x + 1) * (c_x - mu_x * c_x + 1) / ((c_x + 2) ** 2 * (c_x + 3)) + # ) + # sigma2_y = ( + # (mu_y * c_y + 1) * (c_y - mu_y * c_y + 1) / ((c_y + 2) ** 2 * (c_y + 3)) + # ) + + sigma_trans = (sigma2_y / mu_x**2) + (mu_y**2 * sigma2_x / (mu_x**4)) + # sigma_trans = (sigma2_y / c_x**2) + (c_y**2 * sigma2_x / (c_x**4)) + # print(sigma2_x, sigma2_y) + + return ((mu_y / mu_x) - 1), np.sqrt(sigma_trans) def transform_percentage_change_counts2( @@ -349,14 +370,30 @@ def transform_percentage_change_counts2( """ mu_x = c_x / n_x mu_y = c_y / n_y - sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) - sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) - # print("look", sigma2_x, sigma2_y) + rat = mu_y / (mu_x + mu_y) + Rl = np.log(rat / (1 - rat)) + # variance of p assuming binomial model, somewhat reasonable coverage w/o scaling CI + sigma2_x = mu_x * (1 - mu_x) / n_x + sigma2_y = mu_y * (1 - mu_y) / n_y - sigma_trans = (sigma2_y / mu_x**2) + (mu_y**2 * sigma2_x / (mu_x**4)) + # standard sample var calculation, extreme overcoverage + # sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) + # sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) + + # assumed beta prior sample var calculation, extreme overcoverage + # sigma2_x = ( + # (mu_x * c_x + 1) * (c_x - mu_x * c_x + 1) / ((c_x + 2) ** 2 * (c_x + 3)) + # ) + # sigma2_y = ( + # (mu_y * c_y + 1) * (c_y - mu_y * c_y + 1) / ((c_y + 2) ** 2 * (c_y + 3)) + # ) + + # sigma_trans = (sigma2_y / mu_x**2) + (mu_y**2 * sigma2_x / (mu_x**4)) # sigma_trans = (sigma2_y / c_x**2) + (c_y**2 * sigma2_x / (c_x**4)) + sigma2_Rl = (sigma2_x / (mu_x**2)) + (sigma2_y / (mu_y**2)) + sigma_tx = sigma2_Rl * np.exp(2 * Rl) - return ((mu_y / mu_x) - 1), np.sqrt(sigma_trans) + return ((mu_y / mu_x) - 1), np.sqrt(sigma_tx) def _check_input( diff --git a/tests/test_transforms.py b/tests/test_transforms.py index 50f6f41..2de2e86 100644 --- a/tests/test_transforms.py +++ b/tests/test_transforms.py @@ -1,13 +1,14 @@ """Tests for transforms.py module.""" import numpy as np +import pandas as pd import pytest from distrx.transforms import ( delta_method, transform_data, transform_percentage_change, - transform_percentage_change_counts2, + transform_percentage_change_counts1, ) TRANSFORM_DICT = { @@ -107,8 +108,31 @@ def test_percentage_change(): def test_percentage_change_counts(): x = np.random.choice([0, 1], size=1000, p=[0.1, 0.9]) y = np.random.choice([0, 1], size=1100, p=[0.2, 0.8]) - mu, sigma = transform_percentage_change_counts2( + mu, sigma = transform_percentage_change_counts1( (x == 1).sum(), len(x), (y == 1).sum(), len(y) ) - assert -1 <= mu and mu < np.infty + assert -1 <= mu and mu < np.inf assert 0 < sigma and sigma < 1 + + +def test_percentage_change_input(): + # scalar input + c_x, n_x = 100, 1000 + c_y, n_y = 200, 1050 + # with pytest.raises(TypeError): + transform_percentage_change_counts1(c_x, n_x, c_y, n_y) + + # base list input + c_x = [100, 200] + n_x = [1000, 1000] + c_y = [300, 400] + n_y = [1050, 1050] + # with pytest.raises(TypeError): + transform_percentage_change_counts1(c_x, n_x, c_y, n_y) + + # dataframe input + df = pd.DataFrame({"c_x": c_x, "n_x": n_x, "c_y": c_y, "n_y": n_y}) + # with pytest.raises(TypeError): + transform_percentage_change_counts1( + df["c_x"], df["n_x"], df["c_y"], df["n_y"] + ) From 606c66b68064a0d56e0b1a057cfc36fae2b76d4a Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Thu, 27 Jun 2024 13:29:56 -0700 Subject: [PATCH 23/32] remove extraneous dependencies in transforms.py, add requirement of pandas dependency in pyproject.toml for testing purposes --- pyproject.toml | 2 +- src/distrx/transforms.py | 1 - 2 files changed, 1 insertion(+), 2 deletions(-) diff --git a/pyproject.toml b/pyproject.toml index d136319..bf698e5 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ classifiers = [ "License :: OSI Approved :: BSD License", "Natural Language :: English", ] -dependencies = ["typing", "numpy"] +dependencies = ["typing", "numpy", "pandas"] [project.optional-dependencies] test = ["pytest", "pytest-cov"] diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index 39b3fe2..1d69f83 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -15,7 +15,6 @@ import numpy as np import numpy.typing as npt -from mrtool import MRBRT, LinearCovModel, MRData class FirstOrder: From 8df9d6fa7c94c5e6b130af89aa39e15b1f03e673 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Wed, 3 Jul 2024 11:29:25 -0700 Subject: [PATCH 24/32] change counts to default option and update testing/simulations accordingly --- simulations.ipynb | 320 ++++++++++++++++++++++++++++++--------- src/distrx/transforms.py | 108 +++---------- tests/test_transforms.py | 16 +- 3 files changed, 275 insertions(+), 169 deletions(-) diff --git a/simulations.ipynb b/simulations.ipynb index f0613e1..8e76acc 100644 --- a/simulations.ipynb +++ b/simulations.ipynb @@ -20,11 +20,10 @@ "from distrx.transforms import (\n", " delta_method,\n", " transform_data,\n", - " transform_percentage_change,\n", - " transform_percentage_change_counts1,\n", - " transform_percentage_change_counts2\n", + " transform_percentage_change_experiment,\n", + " transform_percentage_change\n", ")\n", - "NREP = 300\n", + "NREP = 1000\n", "Q = 1.96" ] }, @@ -75,11 +74,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_19434/1300529156.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/1300529156.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " mu_txs[i], sigma_tx = transform_data([x_bar], [sigma_hat], \"log\", \"delta\")\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_19434/1300529156.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/1300529156.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_tx / np.sqrt(N)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_19434/1300529156.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/1300529156.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_tx / np.sqrt(N)\n" ] }, @@ -87,12 +86,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "CI coverage rate: 0.9466666666666667\n" + "CI coverage rate: 0.948\n" ] }, { "data": { - "image/png": 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1rampSSsqKtLuvPPO1LZ99tlHu+aaa0w/hx/rNE3TtmzZogHQZs2alfHcuro6DYB20003pbax8edvf/ub8LsOHTo043gvXrxYA6BNmjQp4/nXXHONBkD76quvTPeXIAiCIAg5JL9AEARBEIRlrrzySnzwwQe44oorsGPHDmzfvh2XXXYZPv74YwCZ5dvXXnstrr32WowbNw7jxo3DwoUL8dBDD+G9995DTU1N6nm9evVCXV0dPvzwQ+zYsQPr1q1DNBpFPB7HLbfcgkGDBuGpp57CkCFDsP/++2PixInYvn27q9+zrKwM++23H2644QY8+OCD+N///V/ln3HMMcfgnXfewaxZs/D888/b0nTt3bs3jjnmmIxtRx55ZOo8AHoDsMMPPxw/+clPMp7HZAhUoGla6u+tW7fivffew4UXXggAaGlpSf2cdtppSCQSQskBK2zatAmTJk3CAQccgGg0ipKSElxyySVobW3FBx98YPl9xowZg4EDB2LlypX45z//iTfffFMqvfDss8+iW7duOOOMMzK+y7Bhw9C7d29b8hWTJk3KeHzkkUcCQOp8vf766/j++++zMpkPOuggnHjiifjb3/4GAHj//ffx73//GxdccEGGLEC/fv1w7LHHWtqX0047DZ988gnWrl2L66+/HkOGDMHTTz+NSZMmCbO4r776arz55ptZP8OGDbP69VOw/b/44oszxop99tkHP/vZz7Bx40Z89913Ga/52c9+Zvtz7HzWt99+i7feegtnnXUWOnTokPE8p5n+PJMmTUJJSUnW9j/+8Y8YPXo09tlnHxQXF6OkpAQrVqwQSm6ccMIJGc38evXqhZ49e2bc88cccwxWrVqFhQsXYuPGjZblSdavXw8AWdffMcccg8MOOyx1/TH2228/nHjiicL3Ou200zKO92GHHQZAb/pohG3/5JNPLO0jQRAEQRDZkFOXIAiCIAjLTJ8+HXfddRf+8Ic/oLS0FH379sX//u//4vrrrwcA9OnTx/T1kydPxt57742NGzdmbGc6pAceeCAA4K677kJRURF++ctfphyF9957LxobG9G9e/dUEzUZffv2xa5du2yXazO6du2Kl19+GcOGDcNNN92EIUOG4MADD8TcuXNt6biaMXv2bNxzzz3YuHEjJkyYgAMOOAAnnXQS3nrrrZyvPeCAA7K2dezYEd9//33q8WeffSZsYKaqqdm3336Lzz77LHXOWKn69ddfj5KSkoyfWbNmAQA+/fRT25/zySef4Kc//Sl27NiB++67D//4xz/w5ptvpjR4jd85F5FIBNOmTcPDDz+MBx98EIcccgh++tOfCp/7n//8B19++SU6dOiQ9X2amppsfRf+fDF5BrbvZlq3Bx54YOr/7Hfv3r2znifaJqNz584466yzcPfdd+Pll1/G1q1b8ZOf/AQPPPAA/vWvf2U8t7S0FEcddVTWzz777GP58xi5vmcymcQXX3yRsV2m/6vqs7744gtomubqvSLahzVr1uDnP/85+vTpg4cffhivv/56KsjANMWNWLnnn3jiCUyZMgXLly/HqFGjsP/+++OSSy5BU1OT6f5Zvf7Mvg/DKK0DIOUol20XfVeCIAiCIKxBmroEQRAEQdjihhtuwDXXXIOGhgbsu+++6NevH+LxOPbee2+MGDEi5+s1TTPV/nz//fdx11134cUXX0RJSQlefPFFDBkyBKeeeioA4LrrrsPQoUPxzTffSB1L48ePxwsvvID/+q//wnnnnefoex5xxBF4/PHHoWka/ud//gerVq3Cbbfdhs6dO+PGG2+Uvq5Tp0748ccfs7Z/+umnGbqUxcXFuO6663Ddddfhyy+/xIsvvoibbroJ48ePx/bt2/PuJn/AAQcINUFzOXissm7dOrS2tqYaYLHvNnv2bJx99tnC1xx66KG2P+fpp5/Gt99+izVr1qBfv36p7Zs3b7b9XoCejXjrrbfiwQcfxO233y59Xvfu3XHAAQfgueeeE/7fmDWZL8xhJ2o0+O9//zt1bNnzROcwn/Pat29fzJgxA9dccw3+9a9/YciQIY7fy4xc37OoqAj77bdfxvZcjcry/SxN0xCJRFy9V0Tf4eGHH0b//v3xxBNPZPxfNHZYpXv37li8eDEWL16MTz75BH/+859x4403YufOndLrGMg8VnxjSeP1Z/Z9CIIgCILwHsrUJQiCIAjCNh07dsThhx+Ofv364ZNPPsETTzyBqqoqdO7c2fR1f/rTn/Ddd99h5MiR0ufE43FMnTo1VU6uaVpGxu0333yT2i6jsrISvXv3xq9+9Svs2LFD+Jw1a9aY7isjEolg6NCh+O1vf4tu3bqhvr7e9PkHH3ww/ud//idj2wcffGAqPdCtWzecc845uPzyy/H555/jo48+srRvZowZMwbvvvtulnTE448/nvd7f/LJJ7j++uvRtWvXVNOxQw89FIMGDcI777wjzOw86qijTB2hfPYqgzmQjM3HNE3LkPCwQ58+ffDLX/4SZ5xxBqZMmSJ93sSJE/HZZ5+htbVV+F2MDmo+Y9Iuo0aNQufOnfHwww9nbG9sbMTf//53nHTSSQD0YxyLxfDYY49lXP8ff/wxXnvttZyf8/XXX6fuHx5W8s8yr93g0EMPRZ8+ffDoo49m7P+3336Lp556CqNGjco7mGH3s/bee28cddRRePrpp7Fnz57U87755hs8++yzlj7LyfmPRCLo0KFDhoO0qakJzzzzjK33kdG3b19cccUVGDduXM4xi0kp8Nffm2++iS1btqSuP4IgCIIgggVl6hIEQRAEYZl3330XTz31FI466ih07NgR77zzDu666y4MGjQICxYsSD3v448/xgUXXIDzzjsPZWVliEQiePnll7F48WIMGTIEl156qfD9V65ciQ8++CDDsXHSSSfh2muvxa233oqf/vSnmDt3LkaPHm3qIOzatSueeeYZTJw4EeXl5bjiiiswatQodOjQAQ0NDXj44YfxzjvvSDNKn332WSxZsgRnnXUWBgwYAE3TsGbNGnz55ZcYN26c6TG6+OKLcdFFF2HWrFn42c9+ho8//hiLFi1Cjx49Mp53xhln4PDDD8dRRx2FHj164OOPP8bixYvRr18/DBo0yPQzrHDNNddg5cqVmDBhAm677Tb06tULjz76KN577z0AMM2WNvLuu++m9GR37tyJf/zjH6itrUU0GsXatWszvld1dTUmTJiA8ePHY+rUqejTpw8+//xzbNmyBfX19fjjH/8o/ZwjjjgCAPDrX/8aEyZMQDQaxZFHHolx48ahQ4cOOP/88/GrX/0KP/zwA5YuXZpVpm+Hu+66K+dzzjvvPDzyyCM47bTTcPXVV+OYY45BSUkJGhsbsX79epx55pmYPHlyat8ff/xxPPHEExgwYAA6deqU+j5W6NatG+bMmYObbroJl1xyCc4//3x89tlnmD9/Pjp16oS5c+cC0M/ZggULcOmll2Ly5MmoqqrCl19+iXnz5lmSX3j//fcxfvx4nHfeeRgzZgxisRi++OILrFu3DsuWLcPYsWOztHk/+eSTLLkUAOjRowcGDhxo+Tuy/V+0aBEuvPBCTJw4EfF4HD/++CPuvvtufPnll5bOixufddttt+H000/H+PHjcfXVV6O1tRV333039tlnH3z++ec5P+uII47AmjVrsHTpUowYMQJFRUU46qijTF8zceJErFmzBrNmzcI555yD7du3Y8GCBYjFYmhoaLD9fb/66iuccMIJuOCCCzB48GDsu+++ePPNN/Hcc89JxznGoYceihkzZuD+++9HUVERJkyYgI8++ghz5szBQQcdhGuvvdb2/hAEQRAE4QH+9GcjCIIgCCKMvP/++9rxxx+v7b///lqHDh20srIy7ZZbbtG++eabjOd9/vnn2uTJk7WDDz5Y69y5s9ahQwdt0KBB2q9+9Svtyy+/FL73zp07tf3331/74x//mPW/Rx55RBs0aJC2zz77aOPGjdP+7//+z9L+NjU1aTfccIM2ZMgQba+99tI6duyolZWVafF4XPvnP/+Zeh7fEf69997Tzj//fG3gwIFa586dta5du2rHHHOMtmrVqpyfmUwmtUWLFmkDBgzQOnXqpB111FHa3//+d23MmDHamDFjUs+79957tWOPPVbr3r271qFDB61v375aZWWl9tFHH6WeU1tbqwHQPvzww9S2MWPGaEOGDMn63ClTpmj9+vXL2Pbuu+9qJ598stapUydt//331yorK7XVq1drALR33nnH9Huwz2Y/HTp00Hr27KmNGTNGu+OOO7SdO3cKX/fOO+9oP//5z7WePXtqJSUlWu/evbUTTzxRe/DBB1PPWb9+vQZAW79+fWrbjz/+qF166aVajx49tEgkkvG9/+u//ksbOnSo1qlTJ61Pnz7aL3/5S+2///u/s97D7Hu8+eabps8bMmRIxvnRNE1rbm7W7rnnntRn77PPPtrgwYO1eDyuNTQ0pJ730Ucfaaeccoq27777agBS54F9T/6a/vDDDzUAWm1tbcb25cuXa0ceeaTWoUMHrWvXrtqZZ56p/etf/8ra1+XLl2uDBg3SOnTooB1yyCHaypUrheef54svvtAWLlyonXjiiVqfPn20Dh06aHvvvbc2bNgwbeHChdp3332XtY+ynwsvvND0s2TfXdM07emnn9YqKiq0Tp06aXvvvbd20kknaRs2bMh4Dn9P5kJ0TVn9LE3TtLVr12pHHHFE6l686667tKuuukrbb7/9cn72559/rp1zzjlat27dUteupqWP4d133y183V133aUdfPDBWseOHbXDDjtMq6mpSX1vIwC0yy+/POv1/fr106ZMmaJpmqb98MMP2mWXXaYdeeSRWpcuXbTOnTtrhx56qDZ37lzt22+/Tb1GdlxbW1u1X//619ohhxyilZSUaN27d9cuuugibfv27RnPk40/su8quw6s3pcEQRAEQciJaJpJ7SJBEARBEARRUMyYMQOPPfYYPvvss1SzIoIgMmlubsawYcPQp08fvPDCC37vDkEQBEEQRBYkv0AQBEEQBFGg3HbbbTjwwAMxYMCAlEbo8uXLccstt5BDlyAMVFZWYty4cYjFYmhqasKDDz6ILVu24L777vN71wiCIAiCIISQU5cgCIIgCKJAKSkpwd13343Gxka0tLRg0KBB+M1vfoOrr77a710jiEDx9ddf4/rrr8euXbtQUlKC4cOH4y9/+QtOPvlkv3eNIAiCIAhCCMkvEARBEARBEARBEARBEARBhAhrbY8JgiAIgiAIgiAIgiAIgiCIQEBOXYIgCIIgCIIgCIIgCIIgiBBBTl2CIAiCIAiCIAiCIAiCIIgQQY3SBCSTSfz73//Gvvvui0gk4vfuEARBEARBEARBEARBEATRDtA0DV9//TUOPPBAFBXJ83HJqSvg3//+Nw466CC/d4MgCIIgCIIgCIIgCIIgiHbI9u3bUVpaKv0/OXUF7LvvvgD0g9elSxef94YgCIIgCIIgCIIgCIIgiPbA7t27cdBBB6X8kzLIqSuASS506dKFnLoEQRAEQRAEQRAEQRAEQXhKLklYapRGEARBEARBEARBEARBEAQRIsipSxAEQRAEQRAEQRAEQRAEESLIqUsQBEEQBEEQBEEQBEEQBBEiSFOXIAiCIAiCIAiCIAiCIAKEpmloaWlBa2ur37tCKCYajaK4uDinZm4uyKlLEARBEARBEARBEARBEAFhz549SCQS+O677/zeFcIl9tprL8RiMXTo0MHxe5BTlyAIgiAIgiAIgiAIgiACQDKZxIcffohoNIoDDzwQHTp0yDujkwgOmqZhz5492LVrFz788EMMGjQIRUXO1HHJqUsQBEEQBEEQBEEQBEEQAWDPnj1IJpM46KCDsNdee/m9O4QLdO7cGSUlJfj444+xZ88edOrUydH7UKM0giAIgiAIgiAIgiAIgggQTrM3iXCg4vzSFUIQBEEQBEEQBEEQBEEQBBEiyKlLEARBEARBEARBEARBEAQRIsipSxAEQRAEQRAEQRAEQRAEESLIqUsQBEEQBEEQBEEQBEEQhCMikYjpz9SpUz3bl6lTpyISieCyyy7L+t+sWbM83x83IacuQRAEQRAEQRAEQRAEQRCOSCQSqZ/FixejS5cuGdvuu+++jOc3Nze7uj8HHXQQHn/8cXz//fepbT/88AMee+wx9O3b19XP9hJy6hIEQRAEQRAEQRAEQRBEwNmzZ4/0p6WlxfJzeaeq6Dl26N27d+qna9euiEQiqcc//PADunXrhieffBJjx45Fp06d8PDDD2PevHkYNmxYxvssXrwYBx98cMa22tpaHHbYYejUqRMGDx6MJUuW5Nyf4cOHo2/fvlizZk1q25o1a3DQQQehvLw847mapmHRokUYMGAAOnfujKFDh+JPf/pT6v+tra2orKxE//790blzZxx66KFZTuqpU6firLPOwj333INYLIYDDjgAl19+uevO62JX3z0Hr7zyCu6++268/fbbSCQSWLt2Lc466yzp81966SWccMIJWdu3bNmCwYMHpx4/9dRTmDNnDrZt24aBAwfi9ttvx+TJk934CgRBEARBEARBEARBEAThOnfeeaf0f4MGDcIFF1yQenzPPfdInYr9+vXLkCC477778N1332U8Z+7cufntLMcNN9yAe++9F7W1tejYsSOWLVuW8zU1NTWYO3cufv/736O8vBybNm1CVVUV9t57b0yZMsX0tdOmTUNtbS0uvPBCAMDKlSsxffp0vPTSSxnPu+WWW7BmzRosXboUgwYNwiuvvIKLLroIPXr0wJgxY5BMJlFaWoonn3wS3bt3x2uvvYYZM2YgFovh5z//eep91q9fj1gshvXr12Pr1q0499xzMWzYMFRVVdk/WBbx1an77bffYujQoZg2bRp+9rOfWX7d+++/jy5duqQe9+jRI/X366+/jnPPPRcLFizA5MmTsXbtWvz85z/Hq6++ioqKCqX7TxAEQRAEQRAEQRAEQRCEOddccw3OPvtsW69ZsGAB7r333tTr+vfvj//93/9FdXV1TqfuxRdfjNmzZ+Ojjz5CJBLBhg0b8Pjjj2c4db/99lv85je/wd///neMGjUKADBgwAC8+uqrqK6uxpgxY1BSUoL58+enXtO/f3+89tprePLJJzOcuvvttx9+//vfIxqNYvDgwTj99NPxt7/9rXCduhMmTMCECRNsv65nz57o1q2b8H+LFy/GuHHjMHv2bADA7Nmz8fLLL2Px4sV47LHH8tldgiAIgiAIgiAIgiAIgvAF5usSUVSUqbB6/fXXS58biUQyHl999dX57ZgFjjrqKFvP37VrF7Zv347KysoMx2hLSwu6du2a8/Xdu3fH6aefjtWrV0PTNJx++uno3r17xnP+93//Fz/88APGjRuXsX3Pnj0ZMg0PPvggli9fjo8//hjff/899uzZkyUdMWTIEESj0dTjWCyGf/7zn3a+sm18deo6pby8HD/88AN+8pOf4JZbbsmQZHj99ddx7bXXZjx//PjxWLx4sfT9fvzxR/z444+px7t371a+zwRBEARBEARBEATR7kgk9B+eWEz/IQjCMh06dPD9uU7Ze++9Mx4XFRVB07SMbUa5iGQyCUCXYOAr743OUzOmT5+OK664AgDwwAMPZP2ffca6devQp0+fjP917NgRAPDkk0/i2muvxb333otRo0Zh3333xd133426urqM55eUlGQ8jkQiqfd3i1A5dWOxGJYtW4YRI0bgxx9/xB/+8AecdNJJeOmll3D88ccDAJqamtCrV6+M1/Xq1QtNTU3S973zzjszUqkJgiAIgiAIgiAIglBAdTUgWm/PnQvMm+f57hAEEQx69OiBpqYmaJqWyhzevHlz6v+9evVCnz598H//938pXVy7nHrqqammb+PHj8/6/09+8hN07NgRn3zyCcaMGSN8j3/84x849thjMWvWrNS2bdu2Odof1YTKqXvooYfi0EMPTT0eNWoUtm/fjnvuuSfl1AWy08iNF4iI2bNn47rrrks93r17Nw466CCFe04QBEEQBEEQBEEQ7ZB4HJg0CWhpASoqgLo6oLiYsnQJop0zduxY7Nq1C4sWLcI555yD5557Dv/93/+d0UNr3rx5uOqqq9ClSxdMmDABP/74I9566y188cUXGX48GdFoFFu2bEn9zbPvvvvi+uuvx7XXXotkMonjjjsOu3fvxmuvvYZ99tkHU6ZMQVlZGR566CE8//zz6N+/P/7whz/gzTffRP/+/dUdDIcU5X5KsBk5ciQaGhpSj3v37p2Vlbtz586s7F0jHTt2RJcuXTJ+CIIgCIIgCIIgCILIk1gMGD4cYPqU5eX6Y3LqEkS75rDDDsOSJUvwwAMPYOjQoXjjjTeydIAvvfRSLF++HKtWrcIRRxyBMWPGYNWqVbYcqrn8fAsWLMCtt96KO++8E4cddhjGjx+P//qv/0p9xmWXXYazzz4b5557LioqKvDZZ59lZO36SUTjBSx8IhKJYO3atTjrrLNsve6cc87B559/jr///e8AgHPPPRdff/01/vKXv6SeM2HCBHTr1s1yo7Tdu3eja9eu+Oqrr8jBSxAEQRAEQRAEQRD50twMdOgA7NkDcNqTBEGk+eGHH/Dhhx+if//+6NSpk9+7Q7iE2Xm26pf0VX7hm2++wdatW1OPP/zwQ2zevBn7778/+vbti9mzZ2PHjh146KGHAACLFy/GwQcfjCFDhmDPnj14+OGH8dRTT+Gpp55KvcfVV1+N448/Hr/+9a9x5pln4plnnsGLL76IV1991fPvRxAEQRAEQRAEQRAEQRAEoRpfnbpvvfUWTjjhhNRjpocxZcoUrFq1ColEAp988knq/3v27MH111+PHTt2oHPnzhgyZAjWrVuH0047LfWcY489Fo8//jhuueUWzJkzBwMHDsQTTzyR1SmPIAiCIAiCIAiCUEAiof/wxGJUYk8QBEEQLhEY+YUgQfILBEEQBEEQBEEQFpk3D5g/P3v73Ln6/wgCIPkFgrAIyS+0D0Ivv0AQBEEQBEEQBEGEnHgcmDQJaGkBKiqAujqguJiydAn1UFY4QRBECnLqEgRBEARBEARBEM5hDrXmZv1xeTllYhLuUF1NWeFEu4EK6wsbFeeXnLoEQRAEQRAEQRAEQQQfygon2gElbUGx7777Dp07d/Z5bwi3+O677wCkz7cTyKlLEARBEAThN1ROShAEQRC5oaxwoh0QjUbRrVs37Ny5EwCw1157IRKJ+LxXhCo0TcN3332HnTt3olu3bohGo47fi5y6BEEQBOEUcsQRqqByUoIgCIIgCKKN3r17A0DKsUsUHt26dUudZ6eQU5cgCIIgnEKOOEIVVE5KEARBEARBtBGJRBCLxdCzZ080s8z0QmHnTmDXruztPXoAPXt6vz8+UFJSkleGLoOcugTRHqHsQoJQAzniCFVQOSlBEARBEATBEY1GlTj/AsXKlZQYowhy6hJEeyOR0AfKZcuy/0eDKEHYgxxxBEEQBEEQBEEQ1qHEGGWQU5cg2hvV1WKH7owZ+uDaXqHsZYIgCIIgCIIgCIJwF0qMUQY5dQmivcFHxQBg40agb9/27bwkbVSCIAiCIAiCIAiCIEICOXUJor3BR8UAYPhwioxRCQhBEARBEARBEARBECGBnLoEQRAAlYAQBEEQBEEQBEEQBBEayKlLEAThJqTVSxAEQRAEQRAEQRCEYor83gGCIIiCproaGDEi+6e62u89IwiCIAiCIAiCIAgipFCmLkEQhJuQVi9BEARBEIQ7UEUUQRAE0Y4hpy5BOIWMSMIKpNVLEARBEAThDtXVwPz52dvnzgXmzfN8dwiCIAjCS8ipS/hLmB2jZEQSBBEkwjyeEgRBEIQTqCKKIAiCaMeQU5fwlzA7RsmIJAgiSIR5PCX8hQICBEGEFaqICgw0lRAEQXgPOXUJfwmzY5SMSKK9QlZ7MAnzeEr4CwUECIIgiDyhqYQgCMJ7yKlL+As5RgkifJDVHkxoPCWcQgEBgiAIIk9oKiEIgvAecuoSBGEfytRs35DVThBZhHpYpIAAQRAEkSc0lRAEQXgPOXUJgrAPZWq2b8hqJ4gsAjsshtrbTBAEQRAEQRCEDHLqEgRhH8rUJAiCyMDXYdHMcRtYbzNBEARBEARBcFBCgi3IqUsQhH0oU5MgCCIDX4dFM8ctBeEIgiAIgiCIsEAJCbYgpy5BEISIRAL49NPs7RQhJAgiaJg5bikIRxAEQRCECMqIJAJGIgHsGhVHycO6XXvY1ApsWVWH7r2L0eNIuiZFkFOXIAhCRE0NsHBh9naKEBIEETTIcUsQhQk5XAiCcBPKiCTcxuY8pl+SMQAxFKMZzQCOnFqOm+eWYN541/c2lJBTlyAIQkRVFTB5MpUsEwRBEAThD+RwIcc2QbgJSTQRbmNzHjNekqMr9G11G4FYX3d3M8yQU5cgCEJELAb07UuZb3lA6zCCIEJBPoMVDXSEm5DDhRzbBOEmVOkTWArGvLA5j/GXJAAMHw6ALksp5NQlCIIgXIHWYQRBhIJ8Bisa6Ag3IYcLObYJglBHiDylBWNecPNYonc5Ep+WAAnoP83AcOinhbJxnUFOXYIoEEI0R7VP2MnZtElfjDAK+ATROowgiFCQz2BFAx1BuAs5tgmCUEWIPKWumhc+Og6qa4ow39C2phhAM/R2NrcucPWjCxZy6hJEgRCiOap9UlOj/66oyNxewCeI1mEE4S5ZNjllOzhDMFglPi3Rj21C/FSz19JARxAEQRABJESBWFfNCx8dB/GqJCZNjqZOwWsbAIzW29kQziCnLkHYQBjUaltE+02I5qj2SVUVsHAh8OqrwHHH0QkiCCJveJucsh3UQYFSgiAIgigwKBCr46PjIBbTEw/YKRg2LL2dcAY5dQnCBqJFHltE+w3NUQGHzVTl5enfdIICBUmYFD6Fdo55m5yyHdRBgVKCIAiCIAoSchwUFOTUJQgbCBd5GoCRfu8ZQRD5Qpl5hY/b5ziRALZv1/82yme75TTmbXLKdlAHrXcI5RRaVIkgCMIGNAQ6ox22ZSFsQk5dgrCBcJHn7y4RBKEIyswrfNw+x0ansVE+mwIDBEFQ5JAgiPYMDYHOaIdtWQibkFOXIAiCICAO2nz6qTizgKLj4cTt7Mt4HDjttLThTYEB61jJ4KEsHyLUeBg5pHuFIIigQckTzqC2LEQuyKlLEARBEBIoqyBc+O3IiMWA7t3Tj6lk3zpW7jW6H4lQ46GmB90rBJHGb9uA0CFZI2dQWxYiF+TUJUINTdIEQbgJZRWEC3JkhBcr9xrdj/njtt3kxvuTrWcfulcIIg3ZBgRBFDLk1CVCDU3S+ZNAbyQ2IWs0oMUSQVBWQdggR0Z4sXKv0f2YP27bTW68f9htvSyndDMwvG17rK87n0n3CkGkIduAIIhChpy6RKgJ5CQdspSSasQxvyLb0g/LYokgCIJBjgyCMMdtu8mN9w+krWcD3ildDKAZevObWxf4tVcE0X4g24AgiEKGnLpEqAnkJB2ylJI4qjGp7ma0oCSUi6UwQtnRBEEQhB+4bTe58f6BtPVswDulX9sAYLTe/KaQSSSAxKfZ28nWIQiCIAh1kFOXIFQTspSSGJoQK9ezRoDwLZbcIMPp2lYmWV+vl0mq6MJO2dFEeyFkhQsEQRDK4Mc/TdN/9+ql/y70MbC6pgjzF2ZvJ1uHIAjCO0xt8e7Z24nwQU5dglBN2FNKiAynKyuTrBgJ3KyoCztlRxPthZAVLhAE0QYFZPJHNv6tWAEINhcc8aokJk2OhiXHgSAIoiAxtcVv9n5/CPWQU5fwBT+aRhCEVYxO19EV+ra6jZnXZj4J2ZQdTbQXQla4QBBEGxSQyR9+/NuwARg9GqisBHCn33vnPrGYbjdRjkP4oSAPQYQXM1s8kQASKAc4WUBV93bG2MFVv3anLGFlkFOX8AVqGlEYuD0RON6nPA1P3ukKAMOHAzAsRighmyByQ/cJQYQTCsjkDz/+DRuW3k5Yw8whQMfROyjIQxDhxcwWnzenCPNRD1RkvkbVvW0cO/jq15spS1gZ5NQlfKG9No0oNKpr3J0InECGJ0EQBEHkBwVkiCBg5hAgm847KMhDEIVJvCqJSQuPRsurdag4rkT5vW0cO2TVr0T+kFOX8AXKXigM3J4IHO0TGZ5EwKEyRoIgCO+gMTe8kEMgGFCQhyB0Cm0+icWAGDahuVx/rPre5scOIF39atxG5Ac5dQmCcIzbE4HjfSLDU0qhGSNhhLLJCYIgvIPG3PBi5hAIJWSEEUSoofmECCLk1CUIgmhHkDHiP5RNThAE4R005rY/Aus7JSOMIEINzSfW4Mdgysp1F3LqEgRBtCPaszESlEUeZZMTBEGox2yMHz6cxtz2RGB9p+3ZCCOIAsBrGz6RALZv1//evFn/XV8P9A14s0jRGEyOR/egY0sQBNGOaM8OxcAu8giCIIi8aY9jfFCClUEjsL7T9myE5YCuZf9IJIDEdgAoBzYh5SGiY+8tonuguhpYtkz/e/Ro/ffIkcGf1/gxeMMGYMxov/eqcCGnLkEQoUc0CVKZh3MK1bAO7CKPIAiCyBu/x3jZ3Nm9u3uf2R4d2WYk0BsJg1NK0/TfvXvrmW1EcKFr2T/0Y18CoB6oSG+nY+8tsnugshJYsSL9eONG8XgWpPUbH78aNszbz29vkFOXCDRBGpyI4CKbBAlnyI7njBn6ojms9x8lyLiL2XjtplOj0EgkgASXLQOE974jCK/we4yXzZ233OLeZ/rtyA4a1YhjfkX2Sa+pARYs8GGHCMvQtewf8Tgw6bRmtFSMRgXeoGPvE7J7oHv3TKfu8OHiuY0CI+0XcuoSgYYGJ8IKoklQ0/TyFMI+7HguXQosX57evmyZ/kP3HyHCbLy++Wbv9yesVNcUYT6XLQPQfUcQQcdsQb5woTuf6bcjO2jEUY1JdTejBSWpkt/Ro4GqKr/3rLBIJIBPP83enk/wka5l/4jFgFh3oBmbABTesRcmHTQDw33ZGzmye8Bq9SkFRtov5NQlAo3bg5MXmcCJBJBQbPgQmYgmQcI57HjOmaM7dV99FTjuODIOCHPImFRDvCqJSQuPRsurdag4roSOYwFB1UeFTb4L8jCTcW23OUvq64FY3/T337RJH8sYblz3MTQhVg6wQ85Kfun+UktNjThQQcHHwqMQ5i1Z065CG5opMNJ+Iacu4Rg2yO/alRmt7d4d6NFDzWDv9uDkRSZwdU0R5pPhQyjEKwOLvRdzkpNxQJhhNl63B6eGKmIxIIZNaFZw35k5WsKyGCskqPqofcDuOebEZOOfaN4uFIzXNnOWVIwEbp4LtLbq2yvacfVBlt3WNh4nEvp4HDaqqoDJk8MXxOXvTYYfDsqwOEsLYd4SJh1oAKiikygQyKlLOCaXjqlssDdOYsbo/THK9zA3XmSWxauSmDQ5GjrDhwguhWBgBQnesDYuwKmxChEk7DZiMnO00FjhPZTN7i2848ar4FJNjf6bd2IaNRHzIYjNYY3X9ui27123MZ2pu3Bh+6764e02Nh7X1AC3hlDrNxbT7aOwZQTK7k0/7Oew2PKFMG8Jkw783SWCUAo5dQnHsEG+qQk4/XRg5Upg+nTgoYeAoiJ9kVlfn34+G1BFk9jo4/wpgfCiTCEWyyw/C4vh0x5JJIDEdgBtTYqaNb/3SEwhGFhBQmZYU2MVImjYbcRk5mghvIdKI72Fd9x4RVVVphOT6bpWVgJ33pn/+wexOSx/bQN6Mx+UZEtj5VV9gN5IcE0kU58f4IacvN322gYAJlq/YcniDBv8vemn/RwWW57mLYIIPuTUJRzDD/Lnnqs7dT/4wFxniZ/EAGDDqwCO82rPCUKMvlAqAQxNioI4SJKBpRZ+TKLGKkRQsduIyczRQhCFTl2d/ttyA1VFnjReuki1rmvYm8PyGdRA9iGWVdBUI475FdkD2Ny5wLwAN+Tkx+Jc10RYsjjDRpBkxciWJ5xiHEMp0EMAwfRXECEnl86SaJFJja3SFEp0PozfIx4HJp3WjJaK0ajAG9iwARgz2u+98odEAti+Xf9782b9d329Xm4X1PPnFLuLLYLwi/bciIkg7GK0LS3ZmSHxpPnZHFaFbSfKoOYPsayxURzVmFR3M1pQEujsxnwJSxYnQRDeYxxDAzY9ET5BTl1COU1NuuGhtZWua1qwHXlBIyRripwE5XtYyQjJ2N4daMYmAGnnXiEjOz7G8ze6zbE9cqSa8+d0URjGQAFBEAQREuJxJEadjcR/ioAplwCrHwKiUaB7d8QSNM8Aamw7PoNa5KwUVdCMGQ3E0IRYeVqyLSO7sYCCW5TFSRCEGSoDPQn0xnZ96UtZwCGFnLqEcvgIvCpHUHuhUKLzQfkeVjJC2jOi4zNjBnD22cCqVcDUqentGzeqaRzmdFEYlEABQRBEPgSpAzthIBZDdXWsbZ6pB6ak/0XzjI4K247PoBY5K2UVNAThF5RYQAQJlYGeasQx/zj9zSgLOJyQU5dQjjECD6hzBKnAbudwP1AVnU8kgE8/lb+/2wQly8BKRohqhNdZMzDc3Y+VYtYpmz8+K1YAy5bpPzzDh6s5h04XhfE4MGoU8J//AFOmAKtXp5KokKAsKtcI6kLGbL+CNKYTBE+QOrATmfAyTGENrLtFUGw7orAwzufs2gqa5BclFvhLUG3RQiCOapz26s2oaHPs2pn36LwEA3LqEsrhtb1UOYIYZg6qXNjtHB5mamrMG9a1F6xkhKhGpgXnV2WgWads/viwZobGRoaqcboo5GUhphiyqGbM0Peb/wwz+Cw50iUVk2shI2tok0i4G9Az26+bHTTMIcOU8Aq/O7AbNdOp1DITXoaJnJaEVdycQ/xO1BBhNo7YDayK5vOgVXoGpQKxvUJOdfeIoQndHa6X6bwEA3LqEqHDzEGVC7udw8NMroZ1hHsIrzMNgE+dqe10yhY1MgwS8Thw2mlph/OllwLLl2dnF1sxJtxyWhcauRYysjG5pgZYsMC//bILGaaEV/jdgd14rVOpZbhIJIBEm3PPmNFItl1+qHDIujmHBDFRw2wcsRtY5edzIFiVngBlqfsNOdWDCZ2XYEBOXSJ02HFQ8bSnzuGxmG4MkfHhPcLrLGD7E1b4DJA5c4CZM60bE8bMktWr9bFj6lTg2Wf197UyjrQ3ci1kRA1tRo/Wj2V9vf4cN7J3zfbLyZhOhinRXuCDY3Sth4fqmiLM55x7I0cWZsUZjwagHuXAJqC5rRmzqhJ9FQ5Z1XOI0V4ZNQp4+GH9vadO9e+eNeqBjxqV2Xshn30SJRSorvQkgk2uwEpQnepBzKL3kqCel/YGOXUJAOEqOy0kBxVBANkyAEAw770gYjd4IZNv2LgRuPVW9/azEDBr7jR8eHZDm4kTs9/D7ezdfCDDlGgv8MExutbDQ7wqiUmTo1kZjbFY4VWc8SRRhBGoBwxZoapK9FU4ZFXPIUZ75fTTM/+XT7+NfNZ7Mj1wfp8KMVkmqIRpDW9GWKulgphFT7Q/yKlLAAjvQEoQRoxOJ82QxRF0o0ZkHNO95w58hhrLKq2q8ne/woDd5k7GJnx0nAmCIPInFgNifbMzGtsDRUjiDRyNllfrUg19VJXoBzGoJ8qot1qZKCPf9R6vB87mdsJ7mDO3ulrc3Dhs64iwVkv5JXdoliFMzYLbH+TUJQCEdyAlCCMip1MYyhKNzi+699yFN3ZYVikd79ywxdzTTwNnnaXLV0Sj+vGsr882Io1VFHScCSK4ULVIsEkkgMR2AG3SAyhun5mQEQDDsQnNhrnFbol+mLIaRRn1+ZLveo/XA2dze5AwO8eF5OySOegrK4FZs4J3PeciiIEVK/gld2iWISzTtBZW3DUD7SQuWNCQU5cAEN6BlFBDIgFsb9L/DnMnbD6DAAhHWaLRUKd7Ty0i4z5si+GgLELZZ73xhv7bKF8BBD94QhD5YnovhthZQNUiwUZ33pQAnPSAHchxr9PeKxPbw3rP7BzbbeAWZGT9DG69NVgN5gh3cJIhLEp+KgYQsmURIYCcugRBZDTe8KoTthuOKj6DAGg/ZYmEGJlxHybcWoQ6vQenTwfuuCMdPGGGZPfuwQ6e+E1QnPOEc0zvxRA7C6haJNjE48Ck05rRUjEaFXgjZxm+caxhzjty3OuorEyUjemFlA3qCo2N6d/9+yt/+/ZSfco76Kkiqn1hliEsS17hk5/q6oBiDQA1iQ495NQlCALxqiROOyOaMvr5smpAveOhvWdLtBeM3Zv5LHAvFj4i4z5fTTqvcWuB4vQe5IMnzJD0IwNadn0FcVFNY174KVRnAVWLBBuWCd6MTQByl+GblWWvWOH/dZtIAE0+VYepzFSVHWeqWsmGOcAPeHoF+t4+AxEAWlkZvlq0DN1+Uan0s8zOsdt2CgVvCaeIgnH19brjVpVNK7Tf1bw14TPk1CUIQnewGYwNvqwaUO94KNTFMZGJcdHDZ4F7UQYnMu7DhlvlkoVwD8quryAuqgvheLd3TO9Fql8kAgI/1gBpKaoVK/x33Bu1II3j9nXXARdemPncIMslycZ0q1UrCfRGok0j2UghOgCrq4Hl8xvxMWYggiQAIJJMossv48C544HSUp/3MBsnmdgUvC1c+OuBjU2JhDW5i1wOf9G1M3Jk4cmGEO5ATl2CILLwohSzPeh6FRpZmnwWxPVF3ZvJkRUM3LoHjY0YNC39txvIri/Li2pB92DVTgTekGfHpHfv9qN751f2UqFkTRXK92hvsHFv8+bMx25/Jpun2VgDBEuKqqoKOOOM7HH7kUeAESP83Tc7yOZQq3NINeKYX5E96RaiAzAeBy6INSB6WTJje5HWCmzdGkinrpNMbAreFi6y66GmBliwwPnr2f0uC8a1FzuRyA9y6hKhReQ4YGUKNHnmB5ViEiJ4TT4r4vqi7s1elcEROiKH0K5d+u8ePbLLvPIdP1eu1H8brxfWuNBsv3bt0h2s3bvr+8Uwc1zJri+r15ase7BK8l0IqEIDUI9ygMsMMzu+qpyJfmUvyT53xgx9ARUWpyhlf4UTNu6NHp352E1E2rlBg7/v2Lgdi+mZumGWS7JDHNWYVHczWlBS8A7AWAyInT4IWlERIkmDYzcaBcrK/NsxE5xkYlPCSuEia0xXVeXs9fz9zl87gB6M80vejAgX5NQlQouogyMrU/BrkZOxAG7LYqyvB2IK9XAIwi+yMrhJXD8UWG0Wp2r85BupAZl/290vN8d0Ufdg1U6EfBcCqkiiCCNQD3BOH7Pjq8qZ6Ff2EvvcpUuB5cvT25ct03/C4hSl7K9wwo97onFQNcZ5mo01YSFMckkq9C9jaEKsPB0cZw7ARCLdz8LozEkkQn7Pl5aidekyIB5HMVp1h251dSCzdIH8M7GJwiLfxnRhdPjLAvtFRUAyM+me7gufIacuEVr4Do6A/2UKxgUwy2KsGAncLNDDoXJKImxkZXD7tyuEDUQOoS++0P+3337qy7z4Rgz837L9WrdO369u3YCJE71xXIm6B7vxGV53qE4kgIRBVqK5GShCEm/gaLS8WoeK40osHV9VzkS/FjPsc+fM0Z26GR2fBd8jkQASXDZzEBYqYVwMukmWFBCCaTvx44kXTkrjZ7CxhlCPm/qXZtUdt96a33v7jTatEoPiJ+IjDAAaGoD+/f3epYKBybt43XzQCsY1765d6UaJL7yQnalKqEUUgLIqBSQbi8aMAV5+Wc3+EWrw1an7yiuv4O6778bbb7+NRCKBtWvX4qyzzrL02g0bNmDMmDE4/PDDsZmJVQFYtWoVpk2blvX877//Hp06dVK050QQEDkOWJmC2xilH4q1dEbuWWelF8CjmVbYRj1Tl4fKKQmC8AKrnaC9Gj9l+zVuXGYWTHt3XOVDdU0R5nPlocUAhmMTmo1dj3Mc30JxJgo7Pgu+R3VNEeYLspmJYCGSGCgU20maGdUK7IF+ARtlxwh/cFP/UvTegPfVHTyJBLB9u/53PjrRO9CWmRvQDN18MR4nLx2sLMGJb0ochHFRtuadODH9d777SslSYkTH3mrFiCywzzJ124tUThjw1an77bffYujQoZg2bRp+9rOfWX7dV199hUsuuQQnnXQS/vOf/2T9v0uXLnj//fcztpFDl1CJUfqBz8idNy/bUQJBuQ6VU4oJ8qQs2rcgZHGFEb+MXitkBG0ClK3XXhAdfyAY10ZYiFclMWlyNEPyYUyIyrD9Il6VxKSFmdnM/EJFOnZ1B+jy9AYvmrn6hcz5MfanRXgJbwAIh25uoeOm/qXovdl2PzFem17qRIcN43Hy0sFqrFwN2rjIr3lXrtSlugB1+xqkZCmztazXcoyiIJFVKaBcgf0wSOW0F3x16k6YMAETJkyw/bp4PI4LLrgA0WgUTz/9dNb/I5EIevfurWAPCUKMUfphLJtAJRm5MrzoPF9cnH7/RMJ9aQrWSZ41PAL0SQSw3oQpSJMyj1UNUECw8G/L6E4kaOEP5Gf0Gg0l/jpXgajRlxUS6I0E14QKsO+MlBmD7UWXW6SXDqSvDf74FJzDvbFR/72jEYCz0tRYTJ+PeMkHwpxYDIhx2cw8srFr/i1AyCujQ4OdZq5ha6orzYxqTWLPMaNQ0ebYVamX60cwXTSPs89sL3Nd2IjHgdNOyxz3vNCJDhv8cfLKwRrkJtf8mvfcc9NOXVX7qiJZyovmsPnKs9hFFCQiJ2zhETpN3draWmzbtg0PP/wwFkpaT37zzTfo168fWltbMWzYMCxYsADlJlfvjz/+iB9//DH1ePfu3cr3mygsZNIPQRAZlTlEvOi0btZJ3moTpiBnMIv2TVZuwi/8WUb3ihXALV7udEDJx+hl1zjgTsYS3+jLallRNeKYX5E9CNgNSMiMwVvayYXD66Xz14ad4EroWLECmDEDAFA8uAzTsQxApb/7RGQgHbu6A5DMf4R/BLGprhnSgH8z0Ix0rbvKQI0fwXTZPO6H04OwhsjhTs6hbPjjFDQHq1+I5DvYdlX9HPJNlgp7c1ii/RIqp25DQwNuvPFG/OMf/0Ax3yGhjcGDB2PVqlU44ogjsHv3btx3330YPXo03nnnHQwaNEj4mjvvvBPzC3aFSLCom1n2aCFlBfAOES87rbNO8k1NwOmnZ5bXWNUaC7KGo53OzPzC/7UNAEYDlZUA7rT3uYWYuZmP0cuucYZqLSeR/qYV4qjGpLqb0YKSvIw4mTHY2qp/by9kCfyUGsmlf8ofn7B1eJfS2Kg7dNtaCkeSSVQjDq1xPNC/MLUHw4TxvjPqmRqdbkTwCGJT3aCRrwNC1IiHbZdVsInmcXJ6ELZhlS2NjdR0TYKT7FNRM8p81xwi+Q7Am6Qjq3jRHLbgqsuIQBAap25raysuuOACzJ8/H4cccoj0eSNHjsRIw8p+9OjRGD58OO6//3787ne/E75m9uzZuO6661KPd+/ejYMOOkjdzhO+YpbVpapTbZDgHSJedFo3fraxk7yxvMbrJkx+wzst8zkP7T1zk4c/hkHJFImhCbHytG+HGXGJhB5A4pEZyDJjcM4c/bFMlkAlQc6G5Y9PwUgLNDSkHLqMYrSiZdtWcuoGANIxDSd+NtUNC/kG0/n5gi0ua2qAWyXOGpktlEiQ04OwiKGyBWVlwLJlbZkThBEn2aei+S7fNYdIvgPwvwGgkSAnFgUdWT+MMCcghYnQOHW//vprvPXWW9i0aROuuOIKAEAymYSmaSguLsYLL7yAE088Met1RUVFOProo9HQ0CB9744dO6Jjx46u7TvhL/G4PtAsW5b9v0sv1f9vB7PyETuauoUIr2/qpCsukY0scty9u1zuQoRMWzAImTGF3BRLlVM+lyyBSuxIjRQqTCOcx7Vrc9CgdEvhNloQhTawzIUPI+xibM7lVnZ4kBuFEoQMUSMewJ6zxvi69hqwzoXRdvOiT4ZXmGV6S78jV9mCZFK/EMePB0qDFQQVZb16OaY7yT4VNaO0u+bgkell09zmDUbbgvkv6uuBvjFnvV743jHMz8I77S2N5zso4z5fQuPU7dKlC/75z39mbFuyZAn+/ve/409/+hP6Sy4ATdOwefNmHHHEEV7sJhFAYjE9EllZmT3QzJkj7jBrBl8+YiUjob3AH19qnqAGWeTYbjaLTFswCAsoL7JPXcVYAliaOR+pcsrnkiVQiR2pkbCR1cRQ0mhPphFu59o0OoZzBrtKS3WrOB4HWluhRaOIt1bjwYAtUNsrxntAVXY4n9lSXS0OQIduPCTaFaJGPGy7HVQ5jwoVo50UpJL1fJEFvk2/o6CyBa2twNatgXPqirJeZ8xIJxW53dDaSfapqOkaZdCHG6OOOQtKjxzpvMmrrGnstGlAba318Xw6VqB4MGXc54uvTt1vvvkGW7duTT3+8MMPsXnzZuy///7o27cvZs+ejR07duChhx5CUVERDj/88IzX9+zZE506dcrYPn/+fIwcORKDBg3C7t278bvf/Q6bN2/GAw884Nn3IoKHyuignfKRBHojsQmAwWlQXw907Ji2RYzbfevGzDminHaJNkZ2ATVdcT3PlitgZNqCsZj/Cygvsk9dgysBjCzNbG6lyinvNbzz05ghFGZkhigP0wjPR1tN5Bg2HRMrK4ETTwQGDEDLlgasPKQ/HrT+ce0GWZlf2OaFlSv13/x1WFmpDyuhHA8JwiFhmRv9xMs+GV4hy/SeNEksXRWLATFBZQuiUd0pFDDWrdPXMVOmAKtXA08/rfut+ABeITnqieDB65gDbfryMThq8sr7Q9jYdPPNulPX0nje2IhlmIFICDLug46vTt233noLJ5xwQuox07WdMmUKVq1ahUQigU8++cTWe3755ZeYMWMGmpqa0LVrV5SXl+OVV17BMccco3TfifaLyEGcQG8kmoAEl5FVjTjmV2SGQ0eOBMaMAV5+GVnbPc3Gqa1N/805opx2ieaz+VRk96nIlrNFYyMiSKIPGgHkN6HwpS5HA6jfBAzP612dI9MWDAJeZJ+6gqAEMDorjj4Yj3yvH6/hAyjGrEHjmLBihbf7pRreEJVJS/Aa4bJrky+ZNxqwvGMY0Bd0Z51l4pBkhmyfcF0/XiKqOgDCl9E6fTpwxx3ZQa3u3fX7TNV46GfjQyJ85FsurttPCEQpLauMMH4nWaJHGPCyT4ZXyDK9//xnM/s/u7Llk5uq8dnOUmCn/rygjHGvv57+HlOmpLez4B3vqCcZHsINRNfO8OGAUxNDRe+YyNYGRBGOjPug46tTd+zYsdCMLYQ5Vq1aZfr6efPmYR5nvf/2t7/Fb3/7WwV7R7QH+NJbp9myIudtMYA4qjGp7ma0oCS1+Ny4MZ2pa1zoe9qNubERmDkz/djgiNqBUktdohMJILEdAMrRvFnf5oY+q4psOcu0ZVwWI4mP0Q8tq5cBuMTSS0UZxUuWpP8+drTeQGv0ccD3ynaY8B1BCWCktRVl2IogOHVFWnWycU4WQGGwhUdlJXDnne7srxfwhmi+wSezpnK8YxgA3nhD/x12hyTDjwWol/rSbiKTVMnXGcGfE5msA0GIEFUwyMYnXmJmOlZgGbhS2kv8K6VltqzxOxVag+RCJaf9b6hs+e3l2/CLBf2AAGa6VlUBZ5yRGUg2Bu94Z5iTxmYEEUa0skFoRVGmY1eQcW+sfDZCgY40odHUJdoXsswn1XpDvOHqNFuWd95u2ACMGQ3E0IRYue7MYxi7LhsXbp52YzZxRO1AqaUu0brRUQKgHjBo86jWZ7WaLZc3XMZlFEkUXRlHH2Q3YBSRyyHG2PAqAAeSFFZ1QAmPEZQAatEotrYGowRQtDiQjXOiBZQxg7UQM4RUwJeO5mqiJcvO9Ou4Gufbkh2NOALAP59rRPej+lvaJ5ULUNE4B2Qb7l7qS+eLH1mysnNilHVob40PVWMWzAhrFihD1CRJNhYYbZ8+aMTHmJFeoLNS2hP9q1wxJimoGmsdNfYqUIz3gHHMVnEPWLL/27L5zv/FgRg7JZjNXfn5K1fwzkljM4IIJaWlmIFlWB6NI9Laqjt0q6uzsnRFyXMABTqMkFOXCCSORPMdwGvAOs2W5Z23qpqouIYCR1Q8Dkw6rRktFaNRAT31bONG/W2Zgc+6awIhMHYlju6B2Gbp5bkcYozhDrMCzXRA/e6s267hmlshGkXrkmrsiPufpQuItepk45xoAUXkhi8dzTX+B80hycYWY4bdTyaV4dkzluHMP+fOsFO5AJWNc2E23M0yud3CrDkjk3Ug8sMsmBH2LFBRkyQZRtvnhgpxKW1km3+VK7Lvkk9gxas1ShhguuBA5pjtdQPeWAyIFYj94qSxWaHCB8927QKamvS/zQK/RHhYiUo8uOVElBwyQF+LCyR7+OQ5CnRkQ05dIpDIMp9UNwbgJ31Ps2X95Pnn012PAKCoyLYjKhYDYt2BZqRbuQ8fDtx2W/o5xmy1wBu7Ekf3ttaBll7utkPMTAfUTqlk0AllYzxDCSAaGqCV9gfifu+UDjtuRnn6SCRtKIc9o4zIn3gc+FlFIw6fmG5WEUUSk/4SBxpzN6tQuQAVjXNuGO7ScaY7oHqYETlY3c4gC1JzxkINOoY5m052TpzMB0bbpwHiUlptYDAqV1Qha+zlZfOyoNhKrPKEYbXjfZjgG3O6VT1KZGMWFC2UwC+BdA8Jib3JJ8+150CHDHLqEoFElvkUBmPZDrKyJeN3V97dm8kMcHrW2rjxebxpGlF3TbYd8E5awzZcxmULomi9vxo7ZqnNLkkkgATKgU1Ac9spsKJFbKYDaqdUMuh43hhPFaXmBoldVMttsMZSgL/ZNETwiMWA2HviSgWvm1WIxjk3DHfZODP/FuBWyWsSiXSGkJ0qFJGD1Sm8c4H/jCBSSEFHI2bBjKBLI8nOCcswNl7rdrLhdkAvpa1GHMWQl9KGGaMNy7eF8fIetGsruWV789/ZzwCSW8gacwY+WaUA4AMo69bp2bpTp+r/D/uahyBUQU5dgvARmaNl7ly9kpvfzv6X12JIIDOAZFJZeZxsYs3VACAQxlFbxmXLgDIcjI/wwZRSYJZay7R6ZQnmox4wnFejFrGTrCY7pZJBx9PGeAHGTG7DCXywpRCzaUSozEjzGjMHnor9N75vyQ+DcHhRUSpTF4CwWQW/f2wfjSWRL7yQvl+D6myUjjPdAUjuB6MTxa8qFJlzIchO0kIKOhYKonNSVKSPCYB+PS9fnn4Ow8p1thKV+BtOxEcwlNIWkIPPbTkVmV4vj11bKdC2d8DhG3O6VT1KZMMHz8aN038zp27Y1zwEoQpy6hJCglLWU+jIHC1sAnOlu7dAZsDL8jivpDUcU1oKDUXY4ZL+W3x6MybdUYGWV+tQcZxuiWzcqJ/XhQsLN6vJKp41xrOB06ylfDCT23BCoWXTGDOZzbImc2WkBZmalUUAxA48Ffuf+b6lmG4zw07mJJg4MXNfgzh2SceZHE4UYwdz43avYDbD008DZ50FrF6tn6ru3dMVH07GpE2b0lmH9fX6sVE1thVS0DHMGOcxIH2+e/fWz/e8een7mTl0GXbtz5T9VEAZugyZ9IIqrDqN7dpKgbe9Awyvg+9F9ajVpqEEUWiYNaLsTte+FHLqEkJCWwIdMmSOFiC7VFPZYohv7AQAS5Z4Zny3F2kNGbEYEMMmNBsWusOHp/+2k9VkzORza0HuFUHWLDOOh15peJnJbRCZC1+zrMkwZwlWTU9i4R1RZYG9PmjU/9jRCKB/1rHRtEqUjeQy7EzgnQQrV+r6ikD4jrUVZItpL78j+6w39N6kmDIl8/+5xiTRnAFkjmsjR5KtV4jI5jE2ZvKBROb0A0LkjG9sTP8uNR+/nMLbsKpxy2lcqLa3UdIMnO0Y5u9WiE1DncI7uHnZE6Kw4ANbzFlZUwPMluljEeTUJcRQCXSBY2zsBADTpvm7P0QKO1lNolLcsC7IWQflIGqW8Rl6NB76D++AYPBZR250Ps+FSCvdyefx2UH57H909QpswwwAQPHgMkzHMpSXV6b+X16u73cjSlGPcmBXKfBFej9Ecg+8k+Dcc9NOXa+cQKxcvL1lMrHmRHYd/jL5hmnTgNpa/e+NG/0PpHkBrzHKYE1gGSobvbHrdfNm4Gi0ZVd7FITl5zE+U5O/z5nTT4YsEOsbK1bo/SIAoKwMkaXLAFSaviSIuO00NsP0ngjomFpdU5QlaQboY92tnANIVOGTKxFC9Bp2H7uJV01DM2hsRATJtgBwcLLsVcuREbnh5z0vx6MgNKIMI+TUJYQEsQSaUEwBlsW5QSq7rbExZ+aa1/A6X0B4F+S8kyJIpYH8gobGQ/8xczT6DQtQAMFYgPRBIzpcMQORto70kWQS1YhDaxyfMQ/U1ACtKMEIboEcZLkKNu65lcnES694kSFkVnbLrnkzh78ZojkD0M8vc+oOH+5sfDNrxBSE+5JHVuY+dy4wz3C9q5REYsf82NG60kfFSOBmj4Kw/DxmN1OTP79Llui/gzDGpRoAM1mxZBLRWXH0wXj46ZwSBQTM9NCNz/fDqWt6T8zzfHdykkgAo0Yl8TAuRsvK1Zg6vQTLlwOXXiq2HUUVPrkSIUSvMY6dbiGq1vr0U7HjXUmPgLagSDGS+Bj9oNUugzYtd1DEi0CAWRWBnwS5wjBfZOO6F99NFtiKxQpKnl055NQlCMI5hqiuWxq0fmLMbkNZmS5bURmczA9+YQ84X5D7jR+aZUZEne29yMYwfj5vGPue+UQ4ggUoGPnqIefLIDRkNkADUIxW/OeNrfh4lz5ub9qk718UzXgNo1GBN0KRkW50ThobPtXXZz7P6b0kK1l3E7Oy23yd66I5w7g9H8waMfEZc36zaRMwahTw8MN6NtDUqcCzz4odESolXHhnet1GPVM3DMjOL8vy9tXRImgAHGltRRnUNAB2imjMYE1xrT7fS/gMuaDPAfo1WQLgUaCtSuTSS/Xfon0WVfjkSoQQvYa/j71Cdg+aXVOW4IIiUSShzYqjZVzuoIgXgQC7VQReEeQKw3y59NJsbXWgML5boUJOXSIY7AhuNmQuMjI5XdLwMmI3KiotT803sstFdWcgv1I3vjmf3xFPPrsNyaRu3Y0fD/QqPAd2e0fU2d5Lo93tjtqEd4i00v2kAYOgFRVlOHZbEMVDr5XhV+fpj9mipBhAOfRJwyu5inwQyWsYGz7li6xkXRXGcnxAd0afdZYPZbcS7DTrUdGIyavyb5HzbONGw2LVcL2rbPTGjwXDhwMoCUdQT3Z+WZa3r44WQQNgLRrF1lY1DYCdnh9RQKB7d3HPEv75XjvJjd+RVSRoWrClF+JxYNJpzWip0AORgLnDVVThkysRQvQa1XM6mwf++lfgizbZo+7dgW7dMp8nc7qbXVOWkARFIttyB0XCFghQiVsVhqokvPJhzhz9e8jkeojgQU5dwjNkpXnTsQLFg4ObDWnGdKzAMnir4WU3KiotT7WR8WM8d7t2Ad++34jJ18xAREtHdUXlvHaQNefzKyooym5Dayuwdasjp266SdEOBXsXEBrDG4zhEXW29zIbQ2QY+5ndqZp8tE/5gA9DScmhBfgSO0aQF7tGdqAUe36/DNFZcRSjFVo0inhrNeb+ohRjLsw02scEoKRRhFlpP4/Ke0lWsq4KNr7wpcDGjFynznWRQ1b2etEiEgAeeQT4zW/0v3NJXKhoxCSzb2bM0M+rKkkHkfPMz8WqpaCez5VRgW60xTcAjkbRuqQaO+JqjpPToKsoIGB2Dxuf77WTXPQdnfRo8LIUnSWoNCNdVuV3EFWGmaOOzQOnn27+Hvw9mOuaMps3M86JJCiiDcwdFJHtU3vArQpDpn0PuJ+9v2kTUKwBw5F5reQr10N4Dzl1Cc8QGQx90IhlmJF2nhmzIQOu+cr2PWrI5PRCw8tuVFRUnmp3UObP3Vg04Gxkl/O2bNsKzeS8GQ0MZgAwZw/fnM/vhZYouw3RqB54sEmG83/wYEV76C+R2hXAzMxgTOK0SqGTxSvnWz6IHHReLg5EhrFjAuhsz0f7VBbwybvk0CKy5lJB1RkU0TqlEofOOhEfYQBatjRg5SH98aDLDkuVyJwqK1Zkb1N6L1kg5QRt1hdGduADRyo10e00l5HpQF93nW43eJU1zNs3rAR02TL9h5GvpIPMeZaS7WgGjmj70wtN4JyBCMWVUUElr6w0YwPghgZopf2BuJr9KvSgKyBuTuRkPAprKbpZlYAKG9bMUWecB1av1q+tqVPzz9Y2k8TJOCdcUKQFUWBJdeDX4YUK075nuDneVFTozsBmiO0pIjyQU5fwDFHp1s2jG9JOUQbLhgz4ZDII2fvuhYaX3aiorHQw8QmQQNs/NwHNJg1g4nHd2GGLqgYMQiuKMr5/C3JHdUUGBjNk+OZ8fkcF+ew2RKP6FygttaXULnL+6x/QCMDc4SaTpPCbPmhEdGZmUxLE43jsqvH4xW+zr/2rr07/bcwCU+ns9SObMmMR0ObQqa8HuvsZyeY6gAel8iGf4BIf8FFWcmgRvrlUWMsLU9l9fYI9t4qQlX5XVgJ33unvvrEFehTAOozDp4+1PYB+jfboIXcMiMrxc2XzWUXUPV22MBTpQLNrnG/W42YWFm/fzJkDzJzpTbDXGDwqBvCdYbvMgSyTp7A7t5kGIgR6l9WIo3mHuwkEfpB3VhpbN1hYP8hsBlkDTi8DRV7C25nGZpBOejR40eyWt72OMH22NcyqIFU0CjVz1Bmvp/PP139PnZp/oNWWJE5bUKRlQBkOxkf4cFphjS35YKdSSAVe25avbQDQZk/d5rM9RTiHnLqEZ4hKt0TOQafZkF4j2neVGl5uU11ThPloS0vJYUjHYnpGWmWlbhjsQCk+vHEZDr5Ld3i2IIo4qvFgDkNalAngdcMBO5p9xuw2NDQ4ynoUOf8BILJtG3I5dWUZimbIStVVZRsAcmmKKaO3YuxFpVnOtz/8If0046JNZaalH9mUxkUAi3RXjARu9CiDNAtBB/Cg6EDno0vJB3yslLGqhC+xC3R5YYj16c0IdOk39IzS/17+H9yF2WiY8p+s8nhVjgE7iByyZs81EhQ9ZS+Dvcbg0eiKzO0yZNnQKue2yNZsvUtWGVVoTl3AuyxYmc3gVQVIUHBiZ5rhRbNb3vb6zvTZ1nBbG9asEoyXZmCO9XydhrbnzdJSaCgKTONrY8DFz3nITqWQG7gtwRA0e4pwRpHfO0C0b3agFDOwDFq0La3FmA0ZcNi+tyC9761LqgMzGeYiXpXE2xiOOhwDQI/gmhGLZRohB86pRBka0IIiHIyPsNJCKWAspkf+eQePl1RXAyNGZP9UV4ufnzqfDq9J5vzn0QYOzPnaqirg7bfT+n+5zhGgG+h2vp8TmDRFBtEoDqgoyzi/5eX6+b722syn1tXp30tlBgd7r1dfzfyMuKLySxHxeOb5AfRu5r5pMwqaXaQqH1zAmOlUX58uXXYre8EO/L4B+m+39i2RyG565TW6Pn1bULGsjGrpPOSuQSuwvagf1uNEfIx++MdU/dg/+6z741AhkEikxxC7Y4lx/GE/Tu5zkX3CtsuIx7nx34W5TStr07s0YKUyKqwwu8FtZDZDe2sE5MTO9BuR7ZUv/P3PrkMvHF28/A0LaLSXKVw0hgP6sWBrGD+lTvjrjd0jXhXBsTHKNVgyAPttgmyudpOMhvSEFMrUJVwnV2nTSlTiwS0nouQQ59mQfrESlfgb0pmcKjW83CYWA2LYhOa2YcBJmc8OBCuqawWvO7Uy5381DDIOra2WSqBlWUpAZjSfOZMAeam6yu+3A6VoXboMxbPSTUnMgjGyLDCVkXc/sin5LAhAXwT4llAgaHbhZuUDW4jwWQSqFyK8zmJ9vX5fmGWei7KwnDR9sYoxk8PLjuUpGiX69CcWXol20OiDRuw/O33so0hi9B90ff1TTikNRMZr0LGs/ShAlMXkVbalTJ5C6bkW6F3GUY37bcqoGG0GwJ7jOygZc+mGs2n5qow1RnO64U8uGSSZzdDe7lMzOzMf7Mhb2EVke4k+v6kpex+C2OOBl79xW15IWtHXHfDj8MgyUUUNLf3A70ohN5OfjM3qiweXYTqWmSZp5ZvZn+GgteDv8aMhfVghpy7hOpZKm/rklw3pJ/lmchL5YdZ8TYQfnVoznP9btgCHHJL3exrvK6N8haxUHVC7WNGmVQLj0k1JwhSMKVgEHcBlOtCihjR2u1SzhQivoad6IcLPIcw5a1bOzuvgAmqbUPHw+qVeE9kq1qePFGiJtms0ZjuNciGSo/FCX78QYPP3qFHAww/rwcipU4GnnwbOOsta1qRx4W9Vb1sWFA0snN7lDpTifptvkU/wza9xzUh09QpsQ7bzwbhvTAbptgXA7Dm+7Gbo4G0BVfeDLOh76aVq3j8XRueTW9IoquCdg247DWWOufm3ALPd+UhT+DFcpDXsdSNXUVAiLAEfq1rvfLP6SFLXa3/epOG7rKm5FYxjeKrnxyUmDtpGfxrShxVy6hKuwzeX8aq5jVdoAOpRntFsLBSLhALBrPlakMjKZrbhNBBhdFZ5rUucwkZTEsIjuA7gMme7aJGeKyuOlxdgWTBua+gZDX7AmnOWz8IC5E1fjA6e+vrc+89nHrHP87N5jlYm1qcv1BJtVzA0GWROIysZIUyOxujY1Yqi2JosS2WVk1adGFmGLrvnrRw3kV53rsW3KChqpQJAFXazlQDkrXfJ2wl2gm9GO96K3q3RLkZx/s6QPmhEhytmIIJs58OES0uxfHnm85cvB7r3zu8zw4idnhEM3hZQZUvy2aeM5cu9cT5UVQFnnJHZKLJQ1qC8w9Fu4y5pRV93AD4cG98k+Rrl47BMc9uMoDiCZVrvfEBF1POlGOYBaaeZ/fwYbqWaTJSsQAFzOaSpS3hOEPQWVZJEEUagHiMqSlKGbhCdioUCr+fDMnweeij9HKOBH7jrbfBgAMxp4LxO3U9dYiLgWHC219Vl69Hlyopj4xqLyns1zpWXZztnVTrJjBp2I0emjXmz57upWe2I0mDq0+ejlerW/gBpDb8XXtAfv/JoIzRDk0HmNLKi4cbkaJIR/di3IIpLk7q+/siRAbg2AoxfWoXTpmVv8+pcTccKbIP32td2tIJlr7Wqd9uKkpRdrEIPU5QNz5wPc+Zkz2W+atv7iN2eEUC2LaBKv5OdrjVrMj9r40Y1758LPtDqpUau2xgdjsb7y+pQItMPBoBN0Dca+xEEbh2lgEjtirQ0mWAcFmlu57p2jdnpXmoB83bNqFHAmWdmP48Pfol6vrQgiq1Qnwwga7CtV5OJYckKGdui7uxfIUBOXcJ12MKfn3wKhSK0NRx7NR2Oc13UvB3DNwI79VTgoosyHTHGaGQuB41qRA2aAENmDuc0SG0nCA/hHaVA7sUOP64Vyjhn/B4bLTgD1q0DVq/W/169Wg8qjRrl/8JnJSrRsqVBf9DQ4KpnjHfWAuIKFd7JwOZ/r8dlBr/omjhRf7xwqthpZLbgMKJNq8Su1xuwBYdmNA7duJGapJnBOxe80ioUSbd4ca4iO7LLSRG3FjwIE1E0p5rwqnDkiZqzMueDqEpCpfNONNa52XQzH/ggiZWGsbwtoCpJoC1/Aeeck/neXjTBK3R4h6OqYFh1TREq8AaAzGC3X/O1W/RBI6Iz00Fc0Tgs0tzOde1On67/tuMIVgHv5D/1VOCZZzKfI9oXvlm9FtX12p1Wg/DVfMZxUtZg27SarDTcDem9hpy6hOsYF8xeRmlVIzLsACACYDg2WTaKZO9DWIPv1MuM1nvvlT/fS4yTqzGAoZeLZJIucyGI4MOPa4WSIW43C/j114EpU/S/p0zRg0qnniofgzz113ikT2901ppVqMgyMd0Yl2UdtI3wiy628LlxuThjxY58Ra/hpSjDtowFR6FkhhUaonPixbmSaV9ja2HZAREA5dBX+L17A5GIvl202LfCDpRiz+/Ti/t8nQ92EI11Vio6/ECWgenlGLRjh/7b6C9rD8iqUtyAdziqCobFq5KpYAzg7nztJ7Ks0XzHYSeOYBVYySqW7YsxGaBlS4Npk7Rc8NV8xuoXfgy3Uk1WW6vv38H4CCfiRTx2+1a9nwshhDR1CUfYaU4V5DJxUTdgmVajTPvNLk47R/LdSo0aSm41/wkiskZgMt0irxfUogZNAITlIm6VuRBqMC5Aza6jREKsre3lvZmhpdfWAby+HoiFSM/TrYYtqpFp9X3wAfC732U/f9s231UQlBOPA5MmpTX5ALG2t5ddo61o3/GLrpNP1n//9PxSzLh0GZZH44i0tupOo9ZqPFhoJ47wFZH2tVYUxbvfl6G53hs9X68x2rzGxb7dhlWtUypx6Cy94WzLlgasPMSb5qyisW7jRn0sCbs2ay7YnLxrV3r90a2b+WvCFp9Qtbayu0Y0rj+DkvUdiwHdkTa8vKqc8BqRDj6i0bQcQ8gQOZNtwZIB+uRn7/A2IN//wjiGp3p+SNbujY3AzJn63ztQih0oxSs3axj587x2saAhpy7hiLA0p8oFvwg0axQkMuycwAvUW0XmDM7V3IjwVrxe1KAJMDRKi0YBg9OgPZSRyDIVjYYsc6AGyZFndQFaU5PWEERF5nav7k3jmMw6gFeMBG6eC8yb580+5ItbDVtUwzedYYGl/fYTP3/gQG/2y0t4Zy3gf9BW1kHbKitRiQe3nIiSQ9JOowfd2VUiRCQS6aaQRhvCrPmUDK2PXk5ajTiK0YoWRBFPVmPlabodYNfRGQb4IBjg3CmaspfydD7YQTTWqci+SySAT7lAsJVGnV7iZK0TNr+YqrUVv0bcsCFtQ4owHls3ZLWNzuqgB8rtYlw7OBmTmQ5+8ay4nqEbkB4EYYe3ASMR/Vx98kl6W2oMz3GsGxqys/xbWyPYtk3BjhYo5NQlhPAZU3wHZ6tZOkGH32ezEhORYWdGRnfj0nRGAZ9papWqKn1f//MfveR3xQpdP2nkSH3QDJIhGDScdDF1jS1bgEMOyco0MTqeNYOBr6obdyIBbN+u/80cqGy7m9eOoaF8FsbyRa+bb9lh1arMc8BncFRVAXcubMZrGI0KvJEy5r0sWTOOyaNZBulGPVM3LBidckD45hSZjUrrBG9QUhWkKGMl7IgcAmy7KHstV/UWH1hlmX/duwM9etjv3i76fOP7G9/P6vzGv5ZhdPoYbYi5DgNmK1GJF3Ei/opT8O2aF7Dy7P6pbP/u3Qsv+1PkaGmPuqr89bXg9iIs5wLBTjKY3cQ4J69erdumU6eav6ZPH/13W/5C6ndQ4RNtnNpv7BpndrYR2TjEPquyErjzTvv7bobIWc3sKdE4GaaKT6aNDzgfk7VplcC4E4EBhqxRQin5rLkHDQKKijIdu9GohoEDI/nvWIFCTl1CCH8jjhypO2aMYvuxWKajw+8sHSc46QZcW5v5OInsASa6egW2oc2TVVaGyNJlQB46NWzfVq5MZ+MxQfyJEzMnMpYVyXStiGxJBCdZXMpgFi/nNBA5nkeO1M+tqKmLXYyZnMbsgZoa4NZb839/EY2N+rjBR1sbG3X7iZ0XI/k68pgjgY/e5+MY5xcxfAZHLJapIehHyZo0m6jEu33IFy81ewusLxFRIMgcizKYM/Oxx3TnCaN7d+DII52Pe3az13JVb1kNrObKWDOO78bSZdn725nfjK81Lo5kciv5jO//RikOwVY0j9ftgPJy3cnNHEL89wuTw4UQw1+btbVJvI2j0fJqHSqO0ydqN2QdMqSZYC+AYpyDzz9f/53Lqctoy19I/Q4qfKKNE/uNHePqamDZMn2bFTvbTVtRVBU6bZq+hrVTpRpEpk8H7rgj/djxmFwqzhoVJcEELYs+LORabzNbvHEHYHSrl5YCS5em/U5RtKB6CVBaSq5LGdQojRBSV5eO0DKWLcvsYs3Er1WQSOh6lPVcoxO7WRtuL9SNGi+MJKJoRJ/U4z5oRIcrMrsbR2fF05m7eRCPZ58XY8fmFSvSpU+s86xV3HYC801sVLwPYO068Uu83g680D2gthu36Noxfq4bbN0qbpLBymdEBlK+jjzmSGBdYFWMVcZzAhRe04j2hnGcBPQMJDfhA4EMo4PK6ZxHFBZs3LIacGQZS6xhH/s59dT8xj2+Ialxuwi+IR6QOW7y89u6dcDDDwPPPqs/ttq93Ti+Gzuzy7rB2xmrRXYvoM9TfBa40+ZTzM7SuO2bNumBeeZsKeTO8+0V/vp67dXsJstuNDUzNnozji1WSv43bQJeeEH/+9FH039bIZW/0Mf8eYUAO8bMocvjh83IN80D0gki+YyTQYC/R5yMyYkEdJ8D53tgznk2Fhtl2Ggsto/Zettoi5cNLsYKTM/4/7Rp+u8itOAjHIzKafzMSRghdzchhHes1NXpWQSnn64vgKNRPQNEVXfPmpVFWMiVIQHWypCMC/KyMn1SzbUwcIpI4wWIYCvK0KvtkairZqS1FWXYmrd+qijjcPhwXc+Rz4pkv606a41OYDecHKqkD0RZ5KqyWf1EpMXLzq0K/V9ZtqqbkeeysuzyGcBdjVFjpq+KjCrAWUY/EUxE2eNXXunuZ86aBYwbl73d6KBizJ0LzJOMZcbSdabx+cIL9mSBCPt4mdXNxq9nngHOPFPf9te/Al98of/NmhSxgADLWGJyTIAuF9O7t56p6xSZTJRs7MulsczPb+PGZc5tVjPWjOO7sUxa1g0eSB8rXnaIx4tqM2ZntUJfwF7Stl1kH7GsurA5XAgxXlaiGJFpvVop+Tdel1YzdNsjuXquBMVm5MfJXm0L16amNrmdZuCIPD+Dbzxn/GzZcaitTTvwvEKvRikBON/D3Ln6+TztNDU64GbIjpXVCpvaWrm8XdDJ9llEEEc1xjdqRsVKAEARNJSCyo9zQU5dwhLl5cBtt+l/T5mi/v2rpicx+Y50GZIdfbErrkj/nUzqg/H48e7oGIo0XgANZUi3exV11dSiUWxtdbd7gNjhjJyi4izL2G0nh1GbK1cDAavvA2R313SLRAJIcBqDhVCOI2sCo0LHt7RUD7LE45maam5qjPIZVSVt8gPk9CIAWfMFdz+ztRV44430Y+ZcMjrirAQgRIvFiROV7SYhoLY2szrH7axuNn4ZM/pOPz37ecyxya6X885LX0sXXBCOcU9U4pqrkY9xfLfiCDbKSBhtDjcaE1khPfboC9gTd+iZR7xdA+hO/dpa/TiVlAAxBXMy0b4wOo2YnAf7bcV2NQZRjPMVkYndnitBgVV6sHGnGMB3eb6nTLqHyQSKgqSywLebVFUBk89oRkuF3gvDaIPJEqhUIztWVnW1Z83Snc/MOR8mGrZGsm1xFGPrtpYspy5hDZJfICzDl7fV1ekONRXEYnoZUu/emdtZNoVZSapogb51q/i5dkgkMuUC6uuBnTuzI9tFaM2IIO1AKfb8fhlaoAvcaUVRfHhDdSpL163yWuZw5smVFbkV2c5mN5wc5eXiLJp83gdwp1yNsWOHrpnciD6orinKKl9zuxyHl5pwo3NtTU1mySf7jqq+V2Wl7kgjCFXw94UdROOkUYuUvTegTg4hGgVeey39mDmXjAtkK+WDxvJdY6MQlXNxLngZHVXVOkFl5sz8Ap4i2SEr19T0zCpEzJ+f2QDm6aft7UcQEZW4qm6MWFUlllQIgnOqFcXYtk3vycDbNQBw1ln675Ej1cqdEQFhR2PmbxdYsCBbdsHOPWa8Js87T+2+Ee4ispP4ueeYY/TfzJ5YsTz/z+Wle+rq9MdMSk60Pm9tzZ2ApJpYDBhenu6F4UTCgVXCOpUvlB0rvjpDFkzm/R3GhqFObLNGD5NhB5Vp2bY4WlA2kCQWnEKZuoRlRLqkqqlZqd/hfEaSWVZFdnfETL1Ep4gafwDZEbSiLHU0oHVKJcpmnYyB+BBbk2XYcUc6NdEtQXo+K5J1nM2lZ2XMMmYEvVutVwweDCRRjH74GIv21fD225nlVW6U4xjh7wPVC15A3gRGZRduNzNzifZHPlIuouzx++/XMx7491Yl7bJkia5x+rvfZW632xTQOOeee27a8edlk1JVMjphId+sbtHxstK8i19Yzp2b+VjkqLQDv0h0OwNZhKjENd9GmTyykt8gVNhE0YKBFhawXlUjEd4xHStQPFivmy4eXIbpWIaVeTZTFrFc4KSbPj0zKBgmjNVkQPgyY71ENPfwa2kWOGK2ROWlwPl5fi4v3WOsmAPE6/No1F1ZNrdgcjp2e9gwZMeKv66NFclGeH8Hn3lthxWYjhmD0zeX25IYvC1eVKThpuTt2LnrJuxsk5tSUTHanqBMXSJQVE3XV1C8iLtZVsXvf5/+OxrVnbEqnEh84w9ZBE1GAgfiN7gOa17NrItwUx/NmBW5ZYu117AsY2O22v33p/9W1eAsTPCSFElEccNNUfTs6U6WsEyzkW+swTfsUgHfBIZBDZvS8A4PWeMrRntrgMVrVooyyvlMBr4SArB+nPj5wS589rhRUsh4j61aBYwaZS/DUsS0ae40BfQD45hkliHsdkavLENGlKmSz/1nltVtBePxyqcpDT/255tpyi8S+QzkfLLhrSKae8J4T9ghff1oqEYcpRaaSLlZjRQmEgm9wVw9ylG/OXN7mOiDRizDjJREWySZRDXUNFPmETX/u+km/Tdvp3hJ6jxaaI6dSKT31VhNZqehZHtEdO75eYOfVza4sMbgEa3PlyzJf93u1KZMQC8R5m0Ws9cxu4PvYcMaCaquqhRJKwLZx4055+2uFRt3ADOwDMlkJLVt1iz3+wkYbfFkMoIFmIsRFSXKK0bbC5SpSwQKWbMLM4N2ypR0llVDA9BfkRYLr5Eki6DJiECXlGj2uMkSG+BZhq5xYjJGuWPdAeOubNkCHHKI/rfxmLa3zCxAJkkRwdat6rSLalenJ8+yMmDp0uznmC14jeeVbwDTt2+mc4OdcyvXrt/nm3cQ1tfr38fPRS3vAGE6VjIjVNYAi8/4ZAZTY6O6ccsP2Pc1K6E2ZjLU1gL//nd2JcTIkda0xFTIuMjOnfEe4xvD+KXDGQSM441Rm1F2X9oZRxKJzPe3Mk7JMmTYIoDPuLaqUcezdKl+v4uyuq1gVwPWyvs4fQ8juTKQ/Z4H+PmLXRNhc+DxMDsrihZUYiWa8aDfuxQaVq4EWlGCEagHDPrIuTLfZTawX1lgg9CAKDJvwGK0tlXN2fdsmdl6oiAJGztEdooZshJzJ6XnSRTp59FCc2xZ1WRlpR4gO85Hxy7f6MrvzGF+fGRzNYOfN4ISVFORESq6Tli1lVG6iKcGepSVvw/MbAaZxOPkyfpv1VWVoobTQPZxEzXctsLWrREkkRmxVimJwdY6orGC2eJ1rzYDx2XqG6usGG0PUKYukYFMj8VtQ1qVjguVeWdjLLMyRrlv4yQgZDINbmgoe4nxWrYaPRVLUmhKZD0APRN45hXpCTSZtOcoADLP62hugWP8bTznVrIazLIgjRkTxuOqcnzgHYRe6gnKotJ2dbuNUXJeT4yxYkW6bKqsTF+UOslaVYnT7Dw+K0CUJWA8hrNm6ZIfxkoIQB9fgtTp3U7FSKFjHE+saIpbzegF9PvbavYVu0f5DBkGr/0P2L+uEuidGueGDQPWrk3/z41GsX6QKwM532z4fDGWkRqvifvuSz/HGPhTPVb2QSMiSCrPnmR2VsT8aY4Q2e9u6PD7xfTpQBTNqMMxGdtz3dsyG9ivLLAGDEIrt/xuQVSYTGCFfG09wNp9LrN5nDh+ipDE2xiuO3JgXgkZj2faCWxfb73VneZVdqipCVbmMH+t+70/XsJX1wL63M/b3jxV0G8g41o3V1VurrWg1UxZ3uaWzWXGimQ3KCvTUITMyK4qSYza2vTx0iUNxbNfeZ76xgQ5dQkO0cLNuF0lxpLmssHFWIHp8icTtjGWK4kQaW2JMGoo+21AOcF4LVuNnvKSFFG0oHpJq7KgQQMGZZS5APa1GvlGOgxmiDhtbGiWBck3VasYmd4uwomTkDeGrBhlMuw2KZItWiKcDZJLt9sYJRcZJ42NwIwZmY4p1tDEqyZ8IngHilXsZnu0tgJff60fF7eaHpplBljFTsWI36Syvl1qdGHXWWps/JRr7uAXY2YOhlxNUEWZKnavq2rEUXGcLgJYUQFMmmT9tWGBXyQaJZcANdnwDGMw0Kojli8jFV0TxsCfyrFyOlZgG8pQjCQ+Rj9EajNT9O2U6XqJyH53Q4ffL2Ix3RnOFv7G7WZMmJD52K6Ummp2oBQzsAxam4GpRaOII91M2S752nqAtftcZvM4cfywSkZ+jpDpX6uqeFAN3+jKryAYg18XqN4fPnAUpDEwFhPblIBYCopVCDW11awyO59VIJldXyw4l1ojckFRq5myvM0tS2JxO5hc2gdYhhmIRtOp3SokMYDMZrPJpC5nyCQOCbWQU5fIQLRwM25XibGkOZmMII5qTzsvyuB1eaxmI5qVw/sBM+bPPDNzu0hnyQy/srftItM5NXYJZ45sq0bIli1AEVrwEQ5G5TR1HTkHoQFFRZnvZ1erUWZwsO2ixob5OuX5TuKv5dCIdOIk5I2hfBx9oswVs8W/bNHCl//ka+xs3SoupVqyJP23X1mrXmTkq2pmKcOYBe20gUWYMGZCuBUgVeEsNXtv42LMzMHg5nXDiKM6lUEG+L9QdwN+kejGopE5chcsSAcDrVZgyKS4rr46+7lKx8pGXe+UlcdHkUR0VjyjjIPX9QyK7p/Ifjf+nU+AK8yMGZP52IssMKPdzHQ2H300/fdKVOLfL+liki1bGvJqkubU1rO7ZpFV8+Vqxuw1Xq5Z7MxdXsBf06r3R5QVPmKEd9V0TpBVAtXUANU1RajAGwCcVQey3jVWe9gAmUHO1av13g2MfJJY8qUSK9GwpSX1WFWTtOy1TsRxVQJhDmnqEhnI9FjcMH6ySppRjG3bWsRP9hCZflNNjb44kVGzMh0jGT06fXPZ0WFUqfcl6yJtV2tH1k1T9L0aG/2RwGhs1KOBIt54I/33pZfqv61qLPbpAxRBS2XuqqIUO7D0962Iz9JPdjSqO/T8msyt0tSUqdGVK2OCOYD90mc0fv6GDfp9abb4l12711yTqYc7bFjmYsHuvVpWlq2RFY0Cp56afuxXVrxbmmrRaDobXVUGgAhRFrQbiHQa/dLTy8yE0AOk4xs1lAZQp1mk/wjoY4iV+4hdN+x6Ml5XqoihCd1tZrEFCbs66m7B7A9RVdDGjbpWul1Ec42TsVLm4IxszdY7jbS2IrItrXfKbKug6f6J7Pf/+Z/03+0hwGWEl2oxbu/UCdi+XX/M6/er0NoVaXvzGu3L/lKK+QDQxx/dOJmElx/a8SrnUNmaJdcajshNVZU+1vFjYBCypmXE43q1TUtL9lqgBEmctnBUyrEL2JubWEDDTmDD6GPgg6nDh9vr3aMaK4077ZKtB6wJJQ6J/KFMXcI3sjTd0IKBA9VlQzpFVgqaKxOkarrYe2BHh1Gl3pcq54ysmyb7XrVIh/PKyuQZsyoxOlQee0xvZiNz3ohkCjZuTJfU+lVGNG1K+lpvaFAXFQWclbtawa5Gl7EE2w+Mn6+yZC/fTK3SUmDZsszSrerqwtYEN2YyqLzWeWRZ0KoxnnOnshWqEAVIt25zQ7Uzf3it1FyZPrLKmZde0n/byZBpL9jV1nSLNWvSf/PZzn7r5ckcnFpZtt6pFo1CG5jOLOLnNOO8GrQKpsyKOP/2ww/MNGCrq+1nj9tBlDXNO0v91miXSXj5sV8q51DZmiVIev1+wdYDTrW2ZVnhQXbqyrKpmcQCL+fi9veRaUQXKkuXZq51itCqPFGK0CGnLuEbRk23aFRDNeJ5R4mYg+7554FHHtF/nn/enq6n2QSQ63V2tsvwW++Lxyx7WwMwE0tT25w0/HKC0aEyZQpwxx3y58oye/78Z/1vuw46PkPvuef0v+02lzKi2pknW7CoKBP1ywDhnTt+YqehgozKSt2ZD+i//V7guY2TEk0nZZQ//JAdMHQD/py7IVvB5IhylU2LAqRlAQiQimALbubgWL0aePhhYNQo8XmVNaL5y1/036pKf7OCYDYXvfw16idGiSU/F4znnJP++513/NsPEVIHZ6mud9rS1gm8BVG0LhFH3ESOqKBIMTDamyPXiJkGLO9YAdSWPovs5vPOEz/HL1StWVRgVxbODC8rTsMGWw+YaW0n0Dv1t5vNKNsrMo1oL/Ai6Ypn2rT0WkeXNAymbVoIkFOX8A1j2UHDlhZUYmXWc+xmGzIj+9RTgYsu0n9OPdX/jBU7hCHyydAQQRKZYrCqS2FFiJxodjUBRc0l3n5bz+DdBH3GFemM8Rl6LON31Ch/ytZEyBYsKgIFMgNE5HRVaQgadbH8vpdVZSkwP0EhZ+jmgzGr03jOze6zSZO8cWS4PT6vwHSUDdZr6HOVTWdmQrQFSAN6TbHjxoIYU6ak52k2thqd2LJGNKqDIGyRe2zbone0zQZTxsaRfiOqUPAD43145ZVq3tMLXdiVqEQZGtCCIhyMj6BNE19sIkeUX8F4g+RvBl4EuKwg2z877Nihd0632mTHKNXCb+cdK0B47O5CxO+qrvYGn8VspAbpQcyNLHY/cKt6UTVOmktbxUymcNMmoB7lqN+c3qby2BjtUTtjOGGPgEz3RHvEaJzLMnTZQsvqxGI0so0C5F40/1EFP6g7LZPxggg0FCHTi2u34ZcTRIa3sclULhIJXR8WyO54+vSfs4XzgbTDQbZo0zTdmapi8ZIvfixYRE5XlV3JeVkUu7D7yJhd7ZQgG4WFRC7pFxG8o8VYAu4mdqVJzGhsBGZgGZJJfXBizjHZ2GLMhJAFSIOG8ZzyGe9GJ/ZzzzmrnMlnfwBgg8mi18rrncIvPPOFryyx2vjV6nvz0hiyxaiqYK9XurA7UAoNRdgBeXRE5Ijy0im4enX677Iy4Lrr9L+ffz69PbMiTvw+vASVaoyNHPNh8GAgiWKUYZut15FECxFUco33ovFbhd1p5kCvQrbRnm8We65KO+Pc5IZd7Wb1okpUyZAY5waGmTRZxXElGIF6jBxdktrmxrFhY3g/fIwVtcGUCAsz1CitHZNIZA+cXopzG43z2tURzBA8h2/2lUvA3DhRnX++/nvq1HBFgHlxf7MyGb+JAFiCmYhjGYDwNPyqqUk3NjFO8HPnAvGqbOF8IO1wMFu0tbbqem0yEuiNxKYIgHI0bzZsT4Q/Q4RvRgDo92sspqaJDNO/cjpGsfuIv79Exk8u+GvG2ESNSGPWXdtKIwonZZT8c8ePz/05uRBleIj2gTXgyJeGrdkVEIA+tsgycFNZ3yFJgDCep/JyvTnIhx/qj40Lj1mzgNNOA3r18m5/AGC4TZtBlY3BB7LzxdgMyTj2qagqkTWVFZFvQzuWBKAqC9+NBntew+vlMgfu2Wentw8dmv77pZeAn/40+33cbmRqbOTIsNNUl294xo+NmzZlNnDlsSPRkkikG6gZGw5abeRIqKWxEegfwIafxiSBfBq85RrvZeO3lUbPZpg5k2NoytqWbwOvXHOF8btZbWRth3hctyOMn7NxI9A3BiAATS4ZzOeRry1pnBsYe+8talqmU/dqM3Dc6Ix1r8qqE9EYHp+lYbwHtl17gjJ12zHGzDovy5pFHWlnXRkVpuPzC6VIJB3xK9QMOT7TTFUGkFtMQ1qkR3XDLxWIyjWrquR6aiLhfMCa0zUa1fXaZFQjjhHHdfYkIuo1vBY1EKxyRtl9lE9ZsEoNvkJE1l3bzevdTNtUli2Say4RVYyIvoOs1N2u3uqgsuwKCMB8bCkERI2NWlvlDY8KEdXzPd8MSaV8BV89wVdEGTND778/v89SfQ0UQvamFQe3cdxlOtQ869alg5tGZ78qG1u0n2bBb55c595ulYRZibMxo8/YbyGIpedhqupzSllZcGTNjBiTBPJZO+ca7/nxW1XPFdXBw1zkqrQzHgdVUnFGwiK3IpNNkskOyaq3RGPud9/pUl2yz+XXvU1N6io3xLZdpF3Zdl5AmbrtGD6zrq5Oj3a77diV3twoQ66AjcpIZVDhJ54wZRkHUcdRVK7Jsj6NsEg0bEaiWcZPNKob/mbHII5qTHr1BrQcN8a1iGgYsJvdYKwqcJopILuP8snWyjd7odCZPl3cxNDN690s68yYoW/kvvvSf4t0tEUVI3Yy0O1mwpWWAsswA/HocrS2RlJjTBDHV5WISrSjUTWl22FB9XzPz3Mq5Sv46gl+37dsAQ45RP97ypT8mqiqvgZUNdjzE1nWlYzKSuDOO7O3v/56eiwzOvtVOdNE+2knQJXr3PPjcy7MxmM+o6+uTrdVgub8AcJV1eeUZFI/Jyee6PeeZGK85vJZO+ca72XXHbNNnAZe7N4zMozZ7GweEFVi5aq045NBiExkzs9t28SZ7LIxd8wY64koKis4xLadhrIykmBQCWXqtmP4zDrW9McpVhtYSG9uWAvZqIpUhgW+A3xQOmyHBbebJrGMn4aG3NlPMTRheLmWFRE1WzCYlbAHEZmGoxG72Q1uNknzQgO6veJXd22WjcjDN90SYcxcYU6NfDM8nGRfVmIlGra0ACiMrEIe0Tixc6f+2HhPLllSmM5slmHjReMvv3DiOGVzHJ91yN4rCOO1sfTaT3vMqJdrBdmYJapcAvLL5jY2wzE2cmSY3dO8vma6CWTbb7RkPN9uIISNx6J5gs/oC3Lj4rBV9Tkll6yZXVT0vejdW7zdbbuct52dBl7M7hk7TayM2exsnwqh8jBoyAJbsuCYaG5wYkfJbGm78E0ro2hB9ZLWgrTt/IScukRe1KYr7y03sBB1pF1yfytKYW11E2Qjywp2DQpjB3ivJDII67DF5q5dzkvhRJ1Z2XajgSRyOAUN4/6alUXaaV6Yb5M0HpVlwXaQBWjsLgR4p0Ihy9E4QSaDIJIIAYCrrxY/X0WJOuA8+5Lp4xZCViEPrxVonNuMTmzVcj78OOtHybKxcZRXjb+cwmuOG20+N2BznCyLLAgBDmPpdS57TIXTXhbQnzIl/fftt6f/tuv4FpUms+1OMTY0MzZytILxuBqlbrZsAYrQggbkl7YtK3H2mpRGu8MxiG/UF6aqPjvkkjWzw4oV2Q4yJ05efv7K18lqFT4gocpGYdSujthqRGgMLLB9ai8JV14iswFlTlHj3JAPqsdINoZ/hINROc1ECJ1wBDl1CduwRdBzz+kNEBi5OnTzZCzcprSfm9uuRhTfAV5V5IxQC++YsFPaVFOT3ZmVbZcZSKqNOVXw+yu7Xu1UBsiccU4xjj2qjB8rsMUpf63YzWzg9dyCqvkXFvzKKC4EnFYSiLQCWZDHTSc2ryXoR8mysXGUG5UksiChE/iGK7Nmqcl0y4Us6zAIAQ7jvuWyx1Q47dk4X2HiQL7mmvTffjm+eQc2a2gmaor23HPyLGeZvmafPkARNMsJIEHPhj+2bQwaXYCyCaqwImtmlcZGYMaM7DHXiW6vm1rlZvABCdU2yswrosImrWb74/Y+EYWD3TGcsAc5dQnbsEXQpEn5NUAIgnHuBY28odumEWV1YcR3gPc7uyBseFWumU8pnKz8saoqfA4nmYajm5hlOovwa+xhi1M+QGM3s8F4bTE5Gj8atsmyHdkiOqiL6UIgKMdWVkmQK1DBjxP5yj/xyGRgnn4683lsMZ+v89MObksCyYKETuD31avGdUHOOjTum2x+EzUEBpzdt2y8f81iQN+v+c1M95Fn0iR5lrOxtJ01RwbsVaOsqI2EJht+g8RWlF0rQRn7vcCKrJlVtm4Vj71212SAu1rlfpJMksYpQYQVapRG2MYosJ5vA4T2wNat2ZOkao0oQo6xWYub5NPgTtS4jW13G1EWTdgwNsDiHUu33urPPjFEjSTYotXpQoAvuSwpyWsXHSPLdmSLaL8W02bZo3wDDyds2qQ3RvET47GtrVUvU2CVqipxwzi/SzD58lgGHzxjDgOvuoAD9htc2aWqCjjjDDWNTvh9bW+N65xix8GZi7AE9M10H0UOM9l9ILt3ZdmUvJOzEX0wY2bU1Wx4lQyX2Ioqr6GwsmsX8MUXaprRlpXJrzlak+kUFWl5O3Y3bdLPWVOT/vjRR3Wbt0cPoHt3BTsZAtpT4IUIDpSpS9jG6FAwinGzjMiwO4hUU1aWvfovKgK+/96HnXGAqjJOv2gvGeFOKStzXyfRbcwynf1G1EgiqHrITuGz0v1eTBudAnayR61iRUvTCqJs0uefB55/AahHOeo3p//HEGUAqi6JT6B3xj6ZNegMaiWB1fJYP5oLGRtHqaokMV5LTU3yoIPd+ZxvuBLExnWiSg3VWsl2ZUbsNrYpBHhbizU0Ky0VOyhl84Pd0nY+eNiAQQWRcRiWa8hNB5bKXiKlpcCyZfr6i0elbm+YWfr71qxGhHapqABOPRWYOlV/PHWq/njEiGA1UZM1ulTRlDzfhAZey55/TBAiKFOXyIspU/QFJQCsXw8cf7z7emss801F5NYLSgVOxWRSLz8LA7wGIVFYJJPpe9hImIwIVZnOboxdzNlcUaEvTkeP1hend96p/rMYGnSnIDYhNcu7OV4GrVR6+nTgjjuyt6ty8hurVfJBlpEGlACoBwSZ0CLniOosoxpUCfYpXFgtj/Xj2p02DRg3DhgwQF0lifxaysTufG608QD/MsLNEFVqqNZKdtqwlM8MDFOQWeTIrq+3Nq+yhmYD8BEAsYMyGtXHLp5c924jMg8i7xwehAYlGYd+I7tWgnYNuV2RU1enB6lUOHYrK4ETT9THXoZK3d6wM22KhnGzBqXuWyfU1QGffgqcfnp627PP6vdv9+7iyh4/qKjQzePvBNvtkqUnbugxxAK3xqq9XEFCXsv+yivt71OQSaA3Em3rE7Y22bQJCNhSInSQU5dQxtix+m8+2qnaORTmhSZj9WrdSGGRzCCjyoFBeMNjj+lGRIuNYLtoYcUbFYVObW1m40crWAkwifQX2eKUGXD5BqoSifR7NTcDSRRhBOqBAhgrneB29qgqRyDvfK6r08sW0dKM/SaORgXeAJA5BsucIyqzjKpQg4W4NfW5KhfVhA5zIKhy0PDXEgsg8RTifC6Sm1D9PWUyI6IA3YoVekMmIDtjml/8G+cAvyVdeEQVDyNHArfcov9tpp3ON8MROczuv18cUM7FVpjrf5RiB5YtbUV8VjFaW+XOY79xerqff17//dxzQM+eynbHMTLdaFmfg3zkpvJBZmc1NAD9+4cnUcht8m1iJTpfp5yiy4QF7RjfcGMEuCt7u12bx0wq5eWX9b9lvgtRkFCkZV9IVCOO+RWZunGjj8t2sBP2IPkFQhlsENK0TOPUjQiTsVO2Srzo6gzo2S9hcOgCwcvCI8yZMgW46CLn1xcLwnhROu/V/WYFY0d6q+RbGsgWzfm+T3V1psRDEZJ4G8NRNU23oN0aL2WoLi0vVERZo+PHA+NPAcqxKWM7gzlHjMdWdUl8DE0Zn6u6iRmhHqsNKgtxPo/F8tO0t/oZVrY3NuoOXaM9bITPaqxZqS/DVEm6qISXQQD0eYRVPOSrnT5lirPXlSF3p77KaRoaGvS/t2xx9jlu04pirIDgIOfg7LP132bN5vyEVY2IqgL8LL+X2VmUods+EK037ro7mpX5D9i3ecykUvgGyXV1euayCCYxw0uEFJotHUc13q5rzpDNMzaMVCGB0R4hpy7hOvlEmGRaTT16uLPILCvzTu+S6YR5jUxHyG2C5MArBGQZ8PlevywII9IdU0ltrfsNd0Rai2w7g40xTpzYzEhzei+zRbOV9zHet7xeZDwOvP12WuohAmA4NuGWm/XHXjvl2CI6qIvpQsB4bINYEk8QQcFL22PrVvO5JOXsbXtcNV3f4Ie2cy5Ejuzhw9M2Pa+d7pa2Kp8RzGcSyhweqrPh8yX7+EQQRzUa8zhubttpTmBVI6Jr2s8+B/naa0R6LA1jIzCxdFUE25Bd5iRaJxu38VrqWXrihh5DbBw1BslPOUW8j+y5vJb9/feLn+8lbN2hwuEaQxOGl2c3fWao1NJuT5D8AhFozEoarERXc5W2iXRw4nE9W6pXL3v7ahdVnYz/+te2kt02WNm9rIEHKwHx+uYvK9MbxBBqkMkjnHeevKGIFdiCbcEC4Oabs/+vSk7FSWasXURai0Cm4zsfPbh8u5Lzxp7Z+xhLt/iyYqYpzJe2+dWsihm4QVlMFyJ0bAk/MOoCyrTMg4QTWZ18+OEHIBLJLaWgQdd75eeAMGBml7tBZkZwtk6uXV1qv5r/Cp1KKMa2bc4bU/nVjNQIL2/B5ibRNe3neJGvvWaGWw0ag4RRVobdk4mE3pgTsK+7bYZo7Z7vsRVLV2kY2Jo9cImkEozbciXP5KuVz2vZ8495vHC2s3WHFxKYxl4khHUCGOMjwoob5QH5dn9lpT6y0jZZ0xmZ0RpETj9dL7dnP6zsXjbp+JURImvIJcM4qRujgjJntUpE5Tgy+P3kt7uFKmNeVuYzZ474+arkVLxYjFRVIaO8h2F0evuxKHLSqd143wYxq8sN/M4GYdqFXi/+CwFjlrxZhgsRDKzeayyDZsQIXfbFKV6VV3oRPDQyaZI1bdyIY0VV/8nXLreLMSM4iexyabsBLqfNf41jV66KN5GTRehUQgsGDnR+Lbix7srVxImHKnLca9AYFHhZGfb73nvTjjej7na+MhuitXu+x1aUCLbk/lahhrDMxmZZ3rkSZ7wMuq9YkR5b3GxaaDwmbku6lZeHK9AZFMipS1jCShkzm9gfeUTd58oGRqsaSLyWDY+s6YzbZeF2yLXYWrcuM3ty+XL9t2zS8XOgtCPFIdMbtWss2M0sXVEbQRnSkdukIDPEiHE/jYGDq67KfF6u97GLqrK7pUszFwa33ab/li2EVQn2e1E2KNJaZNv9hF9UWjFWZWVKqqmtde+97X6+2121c8G0C+0u/gl9nGaLPePY6JW8UaGjOjPMzr1WV6fLvcTjzj/P7fLKfGR18oHZmvfcI/4/m2tVWAN+Bb14XW/22xtHhrhc2g5Og6JG21OWKLJpE3DrrWInS/bx0VCNOErzOG5ulGWLGuQB8rGbqkbSFGrAXSYrc+yx2YkTRt1tp4jW7m4c22lTxAEVmY3NNzv2G5mz3Y25gV+DiCTd/E7EaO+QU5dIIXPcApkLNNkkzyb2UaPcd9hYcTID9kvbolE9+8Rv4Xw7jo1x44Dzz08/Zn/LFjN+Drp2sgpkeqN2jQU7maWNjcCMmVEkkd5RUWaI2X4ynnsu83Gu97ELr7nklGnTkGooAuS+V1RlhvDO5CDg1f7w1wp7bCcTSAUircmZM9PXrtdZlY2NmaXSqg1Uar7gHXyWvNUMF7fwq+TaLVRnhtlxfrIFXb4LWzezffwKCLH5Uyb5oDKr0fgdVcki2cEf7XQNA5GfzoPToChve4q0WSsqdOkq3skiIooWVGKl/AkSbr89/bfTZnNmiBrkAf6N3WGiULMLy8rE6/pjjsn+zirmBtHavVCPbT68/rp4jHFLCicXfiditHfIqUukkDluAWtlzIzS0kztVDccJbJ9tZvFyQ9AGzboE4dx4e+1RpIqx4bXume5iEb1Lu1WkemN2jUW7GSWNjQAySSfQxPBVshTt2WBg+yJ1vx97GLXmDdzEhqDGLmy1FVlhvDOZL8wZhvZuT7zQdap3Zgh40U3dNEYkUzqJcSA952qZdkgqsasQm2+IApy1tfn75TPRz6Bz5L3O8PFacm1StyQo/AjM8wYHMln/91s4OgkQ5efI1kQVmWjNSdZjbKAhPE7qpJFssPOnfrvXbv0327ZysY5ugjicmkv4MeufLVZnWZrX3NNfp+bC9kYLdvOBxT8CDAQ7lJaCixblp2d73cCVHvnoot0DXceVVI4du9ltypjNAD1KEc9SXmZQk7ddo5xMThqFLBqlfh5dsuYjd243Yjiy5zMdrM4+QHo2WfTenGqdHzsosqx4bXuWS7WrgWGDtX/Nhr/bmvn2gkqDBoEFBXx5TgaymBfZDk7qu3sfVRh5iQ0Hmu2QBMZCgBw8snq9ikIBiEbnxoaMsctK6jO/uMzZNzu0iwbI9au1X/nW0Jn1yCUZYPIxixZoEu2va5OPG+EHWOQ89g2p2XFyPw0T4HMxhhhl09Ys8bvPXDnePqRvWTU1b3nHrGzOowYz0sSaRmmsjJ/ZWnYdXOsSUBClSySHZzICBmxmqhgzAgu8kCLWFQxYyeAIbOdChW+aa8fAQZCx81KzMrKdCIG6Sjnh6pAIdNvVyGFI6okDcq93IoSjEA9RlSUOJZibA+QU7edU12dXgyefnq6yZZK3NBbcksrs6pK14ozLvy9zoSx69iQITvufulfTZokdpTfd5/+m8+iU+U8sJNZWloKLFvaiijS3YidZobw8gh+ZpgA5texcXJkCzRZsxe/Mr1z4dRIYveDEwez6uw/1ZlAuZB951NO0X/nO57yiz0r+yOq8pCNWXarEew2XwiaPIgMUZCzbmN+mqdA5pjht3wCjxX5JSPnnOPq7lgiyMfT7rXOdHUBsXZyWGHnJYm0DJPdJq+qsWKD+jFWyWSErGK1VJcFmllmsNvw2rksgGHHicA7WYKIKgcgn4TiR4Ah6HgVFHKr/J0FN9g96LbEoqjRoBmJRDr44mXDaifU1soTKpwkimga8Ic/6H/n42wXVZKquJdVVCZF0Yw6HAMgXdE4cqSaiqFCgpy67Zx4PHMx6EXzoiATi+nlgMaFf+/e+m+v9BjtOjbCQq4sSF47V9ViVyRTIMooYtvKh2poMExuTjND+M81ex8vMpzMnFmijExZZptfmd5mmBlJbhKmphj8osLJIsNqZmw+TYrsVHm4XY0QlmwUUZCT17XbsUPPPrSj6x0k+QQeUUDFzOnidcMsEaLjGYT9Auxf68wuOuWUzAqvp59WtUdqsGvTpgNpmemWfjqqZHO38bu50TBLVGlhrO7jM1LtZo1bvfZV60fngreHWADDauWKKieL26hyAPL3WJAd2X4xa5Y48cButZEMmc2lynHvVtKNCKM9b/UaranJrrJl24PGzJnysc9Jokg0mv7O+fgJRJWksntZ1tdINN+qqEyKACiH/oGsonHixPQ5z7cqrVBo5y48gl8MBmWBYQUV5QtWjA8WFfJKj3HTprRMAQC89JK7n+cVN98s3n711frvfLVz7SDKKGLnt2IkPM+o9TvDSXSsx48XPzeIwQUzIykX+ZQOh6VxA6/TDcgXGWZYzYxlhni+QULZtcaMSFnmlqprNIjXulMGDwaSKEY/fIzfLNa9MXbOP1sc5rtIVCVZIgqo5CsX4gdBaSxi91pni+hTT82s8Prb39J/W82idpP33nP6yswgbFAcVbVIR72M1TTGILITTVPRWCAqvTXrveE2XgVRZban1Ws4HyeLSv1mGfkEXUXwVWlOAwyy767qmPjZLLO1VVxBpKr3ids9VNxKuhFhtOetNvwWVdmy7X4icn6a3Xd2xziVzd1F617ZvSybB2QNQo1+FIZTm8B4jFjALd+qtEKBnLpEKDHLzOM1WtnfIqxE0VlUiJ/U3IJ38P3lL+5+HsM4wLqxGLPbfMFtROexrk4vW/YDt6+rQiafxYlI57LQEOl0yxYZZuyzj3j73ntnPmaftWCBvfe3iteZW2GGLYhTiyREcePNuofKjlYocz7m64RUJVnihvySl7idWeU2o0YBDz8s78MAZJ5jv7SYnQZmImhFEfT03KIi4IYbFO6UQzQAM5Eu45JJJNmVvQHETiFRdrKsn4VKZE5pr4KovBPRbkLHkiX2nCy1q9Mpz/noN4vWPqLSZJkD0Cl8VZrdJr4M1Y5J/jpSKZdld5wuKgK+/z57u6pqI7erlrxMurFiz/N2iKjKlm33A3bPLVhgLwhmd4xraHDXwS67l2XzwLXXip/P/ChnnZXe5jSL2niMWLPVMNl+bkJOXSKUmGXmsYHC6KSRLf6tGPxssOAnNbfgI3Veae6xSBqQOfn89rfefL7XiM6jm924c9Gjh7vvXwgdiWUZG3YzQo2LnHvuSf8dtNJhVYh0umWLDB7jAnPsWPFzvvlGvN3teylM8hd+IV4o604EO1qhuTJnePjMd3bP2T1nqhpoqsq0VFUu63ZmlducfrreeZvvw8Aqb3js2jF8dpMsMO8ekQxN3Tvu8Przs9EM+2SGkyCnyCkkumdk/SycILsnnTilVbBpE3DrrdnHwm6DTTsNVxvRBzOvSB+IfPSbb79d/21c+4wcme088UOqKkUiAWyqT5VSp27wREK5Y5K/jlTKC9oNbiaTel8RHlW9T9jz+XsqjNVGVs4TP8Z5keFuBzZfLF/u7uf41Wzabl+jQqmsCjrk1CUyCEqJWS5kRuumTWLtljAt/v2KNMqy8Iz6vmEkLM5Mt8tw/VooqUTmCLnmGntj11VXpf++/vr0325nIPkFr9MNyBcZRnjZBtm463aWiIywyF84IYHeqb/ZutdJQ4hcC3i3tEL5zHc2H9s9Z6q0/FRpW6pyxvp1z6hCVrmkqiKHz6rzOiu/CMlUYxYgGJU0EWip7GEzZE4RM1tI5BxwQ6fXiOyezOWUNkpQAOpsvIoKPbOO//wePdybaxowCMmkGv1mUYbvpZdmO09kDkAvKKqpRknFCLwBlr54rP67pkbqoHLquOLPYz4VXbzT0O57ebUGDbKGs1WWLrXfaDBowVBjkpSItWu92Q+vsVNlQdm16iGnLpFBWCYEmdFaUaGLZwOZmSGFvPhXxS23iLeHSWdZRFicmW4f57CfR0DuCLniCr0MySrPPSfeHpRO9G4gyh7K5agQyTaI4LNBwhIcDDI1SK/EmWNr5Ejgttv0v61K5LAFcfqceKMVqqrihDlx2W+jJpsdVGUsqXLGhj2zSkXlkpmOOX/9eB2YNzZmAdyv0LJCBMBSpKNssnuX1zhliDRyzXBaRm+VF18UbzfL1OMlKAD730vGAw+It7vpMBqEBhQVqRmTRffInDly54lb6z2z7PpkVRzNdW9jON5Gc93bwMa2SLoLaXuqGritWJF/drNXa1D+ngpLUouRadPS9rzVa1Q2//qdwSubt045xdv9cAOrOuyEd5BTl8ggLAsKYyTPiHEADVN2bhAoBKefiEL9XnZRWXrmF2aZHHayOWTXRFgix0YnnrE83W4WZy5HhUi2wQrMEPerCVQYFzI8VcgWHKusTDs3jRI5VrTJtmwBitCCu/FLRKO6EyEa1fUfrWA3c0ZVxQlzBrPfRk02HqOT0K3GXKrKZRlhCaS7gZmOOX/9tOfAvFHaYxxeSP0tu3Zkzli3svKdIgu4y5zSgFiCQtX3mjBBPN+5mT1fih1Y+vv0F7AzJvPYzYZza71nml0fiwHlw7EJw4Hy4WmNJheMLxUN3BobgRkzwrOO4O+psDjZePkiZs/LrlHeDpHZ/2Vl7ui5W20cG5Z5y6jrbRWrOuyEdxTAMp9ojxgjeUZ4AW3COoXg9BNRqN/LLmYLpfaGl9eElYaNdjGWdrHy9BEjnDcekMHLNtjNdPFrIWR3IRNEJ3AMTVnbbr1VLBFiJcmpTx+gCBqux71o2NICQJ9Dreo/MgeS105IOxmbRieh1425nF5DVh0rqrR8g4YKWQOzjN9CgAXHkoigDOm0UVmmqwwVWfkqj7VsfjDLEBZJUKiqNhDJFLHtbjJtSjpT186YHHT8SqxhdtbQoZnbnWSeNzSIr9OgritEDXGDAK+Nz2M3AUBmh4hkMuJx9Rm7qhrHBoVZV0bRCHtRHqs67IR3BHRYIsKOMUvGapmoXfwSCC9UZE6/sA/SYXFmun2cVZVS8vd2Ar3xyKPA88+bG21BwstrwkrDRruwTrKMujrg7bftVzBacUQZF5hWHXq5umsnEulrRdRMK1/sLmTCItFipTmFBqAe5ajfpN+Tjz6qbzfOw9E2y8/OHMqcj15X89jN2GROQq+lVK68khe2UEvYG6vJUCFrYJbxWwikmhQimpGlajd4dd55mY+dBCJUHmsnjjFeggJQq/3rt0M1jOsaOzqaRhKJtANWZbCA1+POh0GDxNfpSy/l/95uoEpyQjW8Nj6P3QQA3g5h189//3f2c1tbc9ukVmFBVL5xrF/BVVWNZFtbI9gGeyUJfuiwE+aQU5dwBWPGmN0yUcIfZE6/XI4cu9E9HqtlLE5xWxdOFWEpwzVmiR47GqhGHBdNLcGpp5obbSJEjT2coOp93CAfSRjZPcEbwOXlehWj3QpGt5yZufTnamrS2cXG60XV/BCWjGI3aEUJRqAeIyr0e3LqVH27cR72OotVJWZ6jUDaSei1lEprq14a7hZhb6zmNjfe6PceeEF+DbUeeyzzsdPSbFVN45wGV6chc8I32njGoJZdR4fMsSjbLpufVWUFBrGCRITT66imJq2RrjJYoDJDuLQUWLYs26YYMULdZ6hEheREGGFO48svz/5fNJq/JjIjaMFVVY1ko1ENA5H/lwjLertQIacu4QqyjDEXtPALnlyLWLcxy8ziywGdONcKrYzFKWHRs+azROOoxsOrmvHss/pjfsEnW/i8+SYwc2b2dv75VjRjZ80SL6Q2bRI3RfNSZywfSRjjPTFjhnh7Pth1Zlr93Fzdtauq9MxiXkpA1fxgdyHjVymlG4GsKJpRh2MAAFddBUQMfqBkm1MozA0BTfUafSQa1UvD3UI2P+zcqf82ZmK3R+6+2+898IL8GmqpKs1W1TTODQeAMahl19EhcyzKtrvt4AlLBYnT66iqKtMGMAsW2HGU27Wz+GxHfq1VWWmvEa+f8PdU0JxsqgJCIurqgI0bM7dFo0B1tboM+B9+EG/3K7iqqpHskvtbUQrv0429qOpuT5BTl3AFWZaMbPumTW3R9c3px4ROUBexO3ZklwPKnGtm5CpjYdcCG/CdNITyg7BrHcrg7+EYmnDhBelurvyCT7bwee01sVORXxBZ0YxtbRUvpCoqgEmTxM8PA8bj88gj4u35YMWZabyf7X6uLPu8qU0uVuN8YKqyK+0uZPySaMlykjNdijwmwAiAcuiv//3vM49xErpuWlgaApoRtEao99/P51F6g6pSYz4rMCxZgoywjOlOjitz3hahFVG0pLYvWJB+jpUFcVBLs1ViDGrJpFhkttmaNeLtsrHG7ez5sFSQ2L2O2PXZ1JQ5P/XqJX5+bW3msVY9NvHZjqK1VlBkMfj1UNjWyj16iLfbDayLrgFWsWakoUFtEPvss8Xb/UrKsdNI1gyjrreXGNd0x1JVd96QU5cIBBXH6dH1kaNLAHjnwLRiHOSaRJOI5C1BYIWgLWJ1Z112OWC+WQrs9czw5hetI0eGY8BvD5nHVkodZQufY4+13mk6l2ZsNCp+neyecXsxGxaHvsyZyfb/3nvzK1uTGbq59NX4/XD7eLqdzWJVRqOoplo/ME7TLXK8PxBBHY5xRcfQKqrOpSwbi5+vc32uqv3xKyNKlV0Q1q7pjLA4KJ0cVxYcK4KGBqQH5G++ST/HiryKl6XZ/rgIMoNaMikWWaC5c2fxdtlYI5vfVDkAg9qMi8fudcTsdz4DWnbdzpyZOZfluofsjul1dZkZw0Fbaxnh10NBS/bJxQMPiLevWmXvfURZ7M89l23PqHbG89eGLBDkFXYayQYRqupWS0imDKLQqXs1HV0HnA9MdiO4VgzsXJNoEsXoi09QOaOI2642b8duSZHb6M6eTNO9qAj4/vv83pc555hTlDdsN24M5oDPG5JhybLIByuljrKFz9FHiztNi56fSzN2yRKx8Sa7Z9zWGTM69IOc8SZzRLH9nz3bneuYje+5SvFySbOExXlutUlHsiquRy/efhvYWJf7BTnIdgpo2IDjUHGcHjz1o8GU7FwaHcz5ZB/JMleDoIVnvF5lzme7qLILgto13Sph0Y50clyNc6KxRJaXQmLIMtPcLs02znWtKEYtfO46JiEs+tRhafJr9zpi9ju/ztt3X/Hz7Y5NdhMqysvzk8nKB7s2TNideL/7nXi7XTtEZJdOmuS+PcNfG+PHmz/frv1vN/hst5Fs0LBb1U2YQ05dIhCUl6ej6+xxLkRl/nazIHjjgNdWAqxF5jQU4Q+P8E7dKN7EUfZ2KET06aOXA0aQnl2TSXG5uxmp0sK2w/evf6Xfy/ib4aQhlBfkctw4yVxR1XDDjHyajFkpdTRDVadpu+/jVlYdy9i3k1VihjH77MILxdvdICgBCdkYwHA7G15VdqflbOdYTB/g2E+eLF2aea0UoRW/xN2oe7U5tY3dt72RQGRTfcY8jE3q0nj5rtE8RgezMXCa76KXYdeR0+hCwMB4vars0K6CsJfmB007UobK4xq0BXFm9lwEs7DEnx3JgSzQHLS+BiefLN4etGCm3f1h1ye/zrvlFvHz7Y5NQbFfjCxeLN7uxAFt9jjo8JJbDLv3niyL3U3NXifY1cUOQvCZCC/k1CUs4UeZZi5Eg5/dLAjeOBCVBfOTZqdOsnfjM3MjGImNqF3th9KeNxRBw+vILBW2O6my0kJmiE2erGDHfCCX46YVxVgBSWqNyXvm43S1ghMdZIaVUsf2xFZkXwT5ZLwZNWmXLRNv9xJV5aAyh5ZTPe58kS1KVRnYsgWL246zadMyG7wUQUMMTejdO/u5cVSj83Ej8IZxPD8ufYJEmaV2tM1zBb2Mztgbb0z/ne+il2HHkbMC01E2uDj1ON9se3ZdG6/XoJVWt9eu6V5TyMc1K6MSxeInFjiJRP7jJSAf+4Im7eV241Y+OBnGe+jmm8Xbg+iAdhO7856skdbCheLnq2riqAq75zcsVQT5IJLtI9Tgq1n5yiuv4IwzzsCBBx6ISCSCp59+2vJrN2zYgOLiYgwT3MFPPfUUfvKTn6Bjx474yU9+grVr16rb6XaKH2WagHkEWDT4yRbJskUZbxxYKQuWO++yQ5BJRHHZ5e6u3HmHu9dNxIZjc8Zju5MqW1QHtYyIn4Dmzcv8P7u2eOdAtvESQRzVaNxh3cmfTOpOVzdRoYNM6JQh23NlHJNkGrGyUuygZRSpKgc1y6Z0O4ghQrYoddvA9sI5L5IlqVmZHpyYY70acfx+2tsYjrfRvKFN+uHV9EQocsTb0TbPFfQyOmMXLUr/7fWiVwMwA8uQTKbH6Xz1ZUUO7aAt5oPeNb1QKOTjmpVRaWjq1p6oqUnLolvROuYRBYGMBG3scLtxKx+cTN1DiQTAV5d4hFfZ0kHLys4XuzbkypXpv4330tdfq9kft7HrxA6azS8jn0Q/XravNxIoRz2G4F1sgm4Ibnp0C+pf2KVwj9sHvjp1v/32WwwdOhS/t3mXf/XVV7jkkktw0kknZf3v9ddfx7nnnouLL74Y77zzDi6++GL8/Oc/R11d/vp07Rm/HG5mEWDRYlUWwb38cvF2vryJLSzNHJOiwbUIrbj4QrFlo2nuZurKmg2ExRhgDq0Id5iYM8zvMtAkilIT0IgRwB13ZP5ftuAXCf+3ohhbt9m7HtzWNpQ1GSPsw/QOZVklMo3YoJViG++9u+5Kb1flkJBlU/JBDGYQu53VKFuUum1g+2WoV03P/sJNiGHCzcOxCcOBYW3SD+VpCQiRDWBH25x9VyvjuZ9OCw0RJJG5k8Yx2EnWrp0ANEGElQULjI80LIF5RNrt5oV+UVWV2XiLYVWayqoGe6Fh5goQrfeKaqpRUsFVlwCIRtyfQLzKlnbrc/y6x+zakHZ1w1WhqhdG0HSx33xTvN2K3JTxmskn0Y+X7YujGvUYgbPwDCrwhv7+Uw/DyIk9nH1AO8ZXp+6ECROwcOFCnH322bZeF4/HccEFF2DUqFFZ/1u8eDHGjRuH2bNnY/DgwZg9ezZOOukkLJYJ2hCW8Fq3J5f+ngzZhCHT8VGRoViEFnyMflixzJ+VKL/YZpOdXyVadidDmUOLZbH5VWrOKEISM1At/b/M6Sqa8KJoQdlAe+q6bi/+ZU3GCOcYr1njmCTTiA1aljrb/4YG4LrrvP1s4/2US1M3aITFGSGTSGHHWfQ9RDaAmdSK7FhYGc/9lCaIQEMRMgd14xhsVyMPSI+vbpQQh+WaCxpBbmAZVubMSf8dQSumwbzsolD1I2Mx++OlEcsa7CGFZSLzY5ddh1+yKo7mOq66BMCWV9Rn+PHSUG5nJ8vWwKrG+6BJeMjwSzfcyTwvIkiVGbW12Y3eGdssJBsZrxmjRJaRt98Wbzdet7xsXzXiGI638RTOxqsr0wbihqcpU9cuAVP1yk1tbS22bduGuXPnCv//+uuv45RTTsnYNn78eLz22mvS9/zxxx+xe/fujB/CX1RHqvksUIaKDMUiaBkdiTP/14JIxEmLLOvwxqMVR4he7sCVLClqimN3MpQ5tFhml1fZbL2hl3LxrdcjAOZhXkZzISMyp2v2fmuoRhylfaxfD9Go7nR1E1XNygoZu4a03WvWbtDMbUcO238/nP2i+yloTm8ZYVkoyTj0UP23iu/BvweTFtm5M/drjdktXme0RgAswwxEo+lx2uiAtbuYN5Yp/vGP6e2qFnthv+b8Il9JDSIb472hIZpqHCqjPehHOkEUBDIi2+5XgMfOGF1bmz7veY9dsRhQzlWXAOgzvFeeb5xNvmtSmfNWVNFn9nmqAh5hCZT7hdXjw+yaTd4rgNhm5kx5gttAC8lGxmNy993i54wZI95udt02IYZNGI53cSTKzz0stX3YOMrUtUuonLoNDQ248cYb8cgjj6C4WCzA39TUhF69Mgf0Xr16oampSfq+d955J7p27Zr6Oeigg5TuN2Ef1ZHqBx4Qb3fTYahn8B6MBx8Qp3K6lSlixfiIozqrZMnYFCcf7BoLMoeWTGfULeLQS7lSYmgGYmiS7qfVjKsoWlCJlbmfaKChgZyuQcBs8cH0oDKCJIoCJE72J8zIghiye09VRqcqx2G+CyXmAGQ/PE4bGlqFGfxmGbtW4Y8Fq8SQZYoYMTo8/ajUqMRKbHgprQc6dGj6f3avOWOZos2iNEvQ4twZbssaERFsg7l3Niz6kX4hG/uM243rCL/sAjtj9MyZ4avAAfJfk770kni7rISdAh7+YnWet2PX+I3Z/VZqc8yVzZ9yp7G99yecERqnbmtrKy644ALMnz8fhxxyiOlzI1xapqZpWduMzJ49G1999VXqZ/v27Ur2mXCOHf09K/hRAsEyeKdNEY9ydjNarS6wrRgf1YjjGLSVK21oy2I3NMUJAl7rjFZDL+XC228DG61rcFu9tpwoK5Msgo7R2eUHZsYQ04PKCJJIAiSqdKL5/XHb2ZcLVRlCdoMYqvTK/JZ4YVRUACNG6D+ixZ7XjeSsZAXZ3R+7Wdd+OXie/e/sZnKAPBNFhvH7Wvnuqu6lQtUrVQVpGruNhoEIuY6Cz1hxehvXEVadpLKGrU6xM0YH1ZFrbDDNEknq69PbeVvc7vgxYoR4e65zzH+O7Pmqz2l7x65tGYZqMpWyVnavfwrUeUNonLpff/013nrrLVxxxRUoLi5GcXExbrvtNrzzzjsoLi7G3//+dwBA7969s7Jyd+7cmZW9a6Rjx47o0qVLxg8RDNxebPPZsl7qrNk1bmRReH4St+IQ18sduK5whqY4QcDrSbIJeikXhus/WRmYXqUME1kwZ5dTYX43YXpQGbpukgCJWzrRfmsQqsoQshvEUBWsC4rByca8ujpg48bs//ON5KzidCzLlV3R2KhnXtlBlT6/205LUTM5AHj5ZXvvY/y+Vr67qnsp7HqlbjsnVGkaE2mMNmcRWqWyZIVCEHSZnThJZQ1bvcBPvXQzamrSf7Mg3siRQLWknYZXgWCrn2P3nPLrQ2YjyHQE2HjMV1AaHd+FhF3b0uu+Q05YujS/YKYbPQEItQR0eM2mS5cu+Oc//4nNmzenfi677DIceuih2Lx5MyraSqZHjRqFv/71rxmvfeGFF3Dsscf6sdtEnri92OazZb3UWZMlj8sWM7KSWNkkHpTsM6f4PUlmZWCOpjHEL5iza0OwkskBpPWgMnTdJAESt3Siv/8+uJnM7Yl8s//YmFderseWRDgpG7c6lrEFN/seua7TrVvl597tTEi3nZa5msm5hd33lzlJwl6+67bDye8GNklEcmrOhg2jzVkE570kguAstYKqZkr54MRJ6qf8gdGxpHKOyDcIVFWVvW3jRiAeFz/fq0Bwrs/hG6pZPaf8+pDZCCXHZcvPAenxmK+gHDkSWLDA2mdaxahDL9OqpYxk+0ybplfDOUXWANoIVcD4i1iY1iO++eYbbDVY5h9++CE2b96M/fffH3379sXs2bOxY8cOPPTQQygqKsLhhx+e8fqePXuiU6dOGduvvvpqHH/88fj1r3+NM888E8888wxefPFFvBqG3Ph2TgK9U397JT7OT4BsweyF6PlVVwH33Ze9PVdjLD6DSzaJqzI6wmJgq6YacfwZkwDomXPQAAQwU5Qn7MaOaP/LuaRyr4lGg6XByO/PpEn+7QuRZssWIIc6VN44uRatjmXvvafvv9XvUVamOxVEc5DbxyIsTktRWS+/3Q2Ckn3uFLe6vvsNs6eSKEY/fIylq91tpOslqq65sDSxC0Iw8/e/T1dvBM1OETFtGjBuHDBggNo5whgEcrJmEQXxhg8HSkqc75MX5OqhYnXcZDaCzD5g1/qaNdna8MuXW/sMM4zzobGtiUyrNmh9JYIyP+XyneQj6WdlfPfCBibk+Jqp+9Zbb6G8vBzlbSv26667DuXl5bj11lsBAIlEAp988omt9zz22GPx+OOPo7a2FkceeSRWrVqFJ554IpXJSwSXGqRDpV6Jj8ui3F6Inl9+uXj7737n/mfbwa6BLTumixfnvSuekpGByWQZ8kB1Zo7MiHDb2HHbeHGy/25rygYt6120P6KSfWYoGzMfCPdw25EmaySX6/xaHcvsZpKXluqZV2bv5Raqmiy5PZ6tNPTGNGrzrlih5v1VyTgFHdWyEX4FqzM0UBHFrCv9S20K6vygyjHJHBt8JqGqcx8EKQG/m0o6gTmWrI7V/PVpdAAy2884DoYlKKCCXD1UrFa0MBsh11qnc+fMx6ry5YzzpJHp08XbgxBQMRKUedXvxm1hDyaHHV+npLFjx0LTtKyfVatWAQBWrVqFl2QtIwHMmzcPmwXacOeccw7ee+897NmzB1u2bMHZbrQcJpRThZqsbW4nWMvE0L1I7JYNfrnKWfPWFU1I9BUlqUN2Dey22zeLOXPsvY8Mv5tCOYVl5qxYrWYRd+ihks9x2dgxGi9JR+3fzHGy/7IGUqoWb0EzVET7IyrZr1mpT/EVFe7qEYel5MrLJmNuIGsk5/b5NcNOY7sgYncxZvdaly1KKyvVvL9dgrYYtorqDGy3GtXmIrs6TP0cahXmSPFz/BCh6h5gjo277srcrsrpp6pRpyqs2iluyB+4CX99GgNiIqdl0LOVVcL3UOHPqeqKFv51qmTyZPPkTTepeX+3Cdq8SsXp7ZMAxBkJQieGpqxtbuuqynRh/NRzlRlaLArPG252DbOSlRJ9RUnqkN33ly0OVE16ZWXAvHn5v48f5TJJRBG/soOSjF3Np6pN43lMIuqJLmAu52wyCVx2Wfb29pSxIYI1e3LbwAtLhtCsWf4EhVQFF2Slc0E04MMi28PPS7mGVbvXukybV7Z9/Xrx9qCUd3qF1a7vTvErw5nP7oxG/ZNfmDBB/71mjfj/fl1zqprwyMZFVU4/VbrMxnwKY1aqCokW0XznVsNWt+DPozEgJnJahsVZrQJ2j8rOqaqKFqs6+06xO08S5tj1YTS2M/uiUCGnLuEpiUR290y2ndCRGbSyydSuYdY8PY7heBvD8Taa694GNtbp/5CkDon2pzcSiGwyZPta2E9VhlYyCdxxR/7v41e5TGtrBNsQHOHH/EovvfkuVpyzIid3IWVsOFlgM4PY76aDPH45C1pb1ZdxW8HthjpBO79AeAMqWo7qA7ez9r/5Rrxddt265cDwqq+BDLcdTnZL51UFpY3ZnVG0YMn9+iRlOiby1VWG7fkwZoz++5xzxP+XVQO5jSpnqWxcDJrTj1XUAJlZqSokWkRVTLlkdoIWQOLPo9HRxwKdxnOqKiiQSKQb0LolT5Ir+Mn/n3/M1jFuNeFl/PGP+m9BcTRRAJQNLkYtwlF2FbTxKUiQU5fwlJqatAi6G/pyhYBdg9b2JB6T6CtKQqKi/YmjGp8dNwm/xg2WMzVVGVqq8KtcJhrVMBA+eJYk5Fd6qf67iBbbTp2zQVu82cVowHsZhJBpLcp8CHb3za+ASlGRP420glaa5wVhDahEcubquovMiSq7bu06P62OiYWuzedX6Tyzp4rQgo9wMKZN0a83s4ZHWdVVjDwNZzYuycYnv6qBnNAbAsf3JrEnLmi2KKuoYWzYoP+WSbTYIZkEZs6095qg6IPawTgOqgoK1NQAI0boP27Jk+QKfvIBYf4xu3fddnQxFUvjut0LZE7v22/3dj9yEfa1RjIZwSxkN2wIogPVOD6FXVJNNeTUJTylqqqt+zaHCuMF8K/TdJhQURb7W1yDfkXbcSLWo6zoQ0uvUWVohZkoWlB9/x6UIv+ZUlWTDrul20bjpQitSr6LkSefNP/MXPtkRNXiTWbYuG3wZDTVyeEYVNnsRqa1KPMh2O1UL/susu+gqpRf04C//lXNe9nB6r3K5qz6+vDPWWFZ5PD76Z/CqU5bn+AsVJXR2nUCB1HaQwV+2yNF0DLmTrOGRxnVVRsMBrQqw9kmZuO70LnqwYB2Ph7DvfgF1sDQQ+U4sQdK1blXNf/z+RTDhom3O8VuUDGMQUg3gkBVVcDbb4vXrKrIFfzkz4Xs3LhdgeTXPCCrcrrmGmuvZzalm9nWQHikTMxoRXHWNqMD1c9m5xqQSiAz3gN+SaoFFXLqEp4Si4lLolQZL253mg4DucomVZTF7kY3JJP68pf99oqwOAt4WGZO5RQ1KWzvvSfebvf42C3dNhovRXlktckirD//efa2XM5ZmUGlavFmtYNwLkTSM2bYWVypbHbDmlaYadmZ4XSBIfsOquQLNE03Ar3GalYgm7NGjtSzhPxChUSS29lwqhwqQVuMuZ3hbNf5EURpDz9w2+4wPS/G6qphwzO2+4FZJmccgqzikRWuDmirVwO/xbU4EetxELZj+Y1tE/arG1z7TCA8Ga2qEgDaG01tbV7czFjPNa7w5052Lt2uQPJrHsg3wFBR4X62NRC8ZspOiKIla5vx+N98s4c7g8xkjlYU4/fIdl60tppXubQ3aKgnCgq7naYLkVxlk2Eti2WoWoR77RzmM3PyRWZEuO1MUWW8yCKsIiMul3PWbYNKVQdhdk9aLWGzuxjboGgNyxYzES5eY9WH4HSBIcsGUZk55Mf4Zze4sHGjniXkF6Lr1G5g1O1MSFUOFRVjh5nGvF3CGrR0G+bE96scNGjOfxWwa012zfHjP0M2Hu/YAVRDkFW8sc7VAU0P+rGdjeDKu/vpf5YPl7xCDWHJaPVLaiTsMIegm87AXPY6f+74x243MPObfAMSzKasq9PtqrDy9ttuvbMesYgWaVgCHzIeTMhM5ohgMa7Oek40al7l0t4gpy5RUBRyB027WX4yB0nQFo12F2mqjJdCXKQB/peV5mrswPCraZUTVJU+2y1hy2iqY+G+ZWWbPHblC+w6n+12qpd9F1k2iMpMo6CNfyKGD/d3zhJdp0ELjAbJoRJHNTofJ9A8dYBska9KgkSGKmepW/vJnPhuZ0fK9l82plmd74IIs4FkttD779t7v8GDgSYIsopdHtD4sSDsiQuqcdsm9Eueym3q6tyVXgBynxv+//xjdu/aXR8GDdm4mW9AgtmU5eXp9jFh5Pjj3Xnfa/FbrMdYfJQ8CNMQLIHaLOmRNnkIow2/ZEm6WSJBTl2CCA12HS0yB4nqTM58HS5+lbCJFmlG/SU3CUuXUSfwpfIyuY9o1J+mVW6SaxFjt4TNaMDnE4SwK19g1/lsd9/sPn/BAvF2u4vGaFQ3AglzevbM3haWwKgfTrVqxPH9qwLNUwfIFvkqZJPMUDUPy8Yau/cq//xcTb1UYfc452pkFGSYDaQqaOlXoIW3QcMQuDPD76x0u6iSp/ILmZZ/ebl9m03V/GP1fdg9and96CZONE5l46bfSSqFzmM4H9fhN+hV92e9oiJAZI3rbfIQxvXDtMJdSjuCnLqEp/A6mqypglQAlkihSqhe9ST50kv5vT5IGVdOyq3sRsgbd0QwE0uztofFgAfEzVA2Pa7PtFazZm68Edi5M3t7mBdkbgYo8slQt3uP2V3I2N03VbqedheNa9cCQ4fae40IVfdq0O55tj9+BNpUNTl12/kpogkxaOUCzVOFqMo+lF1zquZh2fvYvab8CvbaPc5WGxmlSHBzJ7vYA9gZUXatuD1H2x0X+Ww+tyWo3MarrHQZdhM1VMlTWYXdKkZnrHEJaff6UdmPQFVQx+48FqSGlmVl8p4ZMoK0DmxPsMoKlA8XpjLffnv6b6/XZpnjeloeolClRlRATl3CU3gdTdZUoeS4/MsWnRC0RbUZQWtYwgb4ESO8/Vy3M7Hsai/ZjZA3bI0giezZMSxZDYC4GcpxlYcJnyszBG6/XWxIh0kWQ5ZNZsz6yMdBpQrZIi0spcKqFo2TJqlZvMkW23aPp8pFu4qu84ceqv+2usCSZTg5wW6TU9m44nfptVvl+KoWVG43FZGNNXYX7X4t8u0eZ5nurMy2LFnJzZ2jj9V/e9DN1669Kxuf3J6j7Y6LuUrUreL2esDq+3uVlS7j/PPtPV9VprdV2FxhdMYae4jYvX5UOkRVnTM2j1lNFgnS+jCZtN+Qlpr5BZNrrkn/7fXazDiOR9ESOHmIIEK3EeEpvI4ma6rQXPe2L6n/+SyqsxbRYRUzcohfzje3yxvtai/ZNQgHlWkoQrbnIUxSBKJmKK+uEF8QsqwZ2XHzMwpr1wEjc5A8+GD673yaTalCpksWllJhvzSNZcgWbnZLz+0uAM2cqCq6ztvt8q0yw8luk1PZ/ON3pr9V+Rm7qMo+dLupiFtNmXI19VKF3eN81VXi7bIgbfN0w9xptHs9EK22a+/KxifZuKvq3Ig+V2UzQhl2j4/d7+tX5q1dHn9czfu45SRnc4VxPjc6Bd2uTALktqJq52QQ5BScYDe46ta8IcrqJpyR79pMmHiwydpJkcROCQ5y6hKewuto5kr9l6FqgM4nqpq1iGYZFxyNAc8GZpnTfjUss2sYB61Mx65BWNpHw1LMzNpupvEbNETNUMrPE2fqyrJmgpRZwLDr5JQ5SC67TLzdr2ZTsnPg1r3E4ltBU9Vx+5pTVXouw8yJagy0fPKM3ip506r/Qf3I7LFGJRs2qHkfu01OZfOPU+enqiCtW02bVMkmvfiieLvMGSHrui2zF9zSQMzV1EsVdvf/8svF26VB2phh7jTavR6IVvPXpmqnm5vnxk4zQqffy+58aHesCZrtKkPVmOWWE5vdKsb53OtjKwvW2XVOyq7VG2+09z5hx615Q5TVnQ9+Vfe+8oo/n6sSYeLBcSGNWgQUR07d1tZWrFixAhdccAFOPvlknHjiiRk/BCFDVadClRlCTsnIVpRkGq/AdJQNLvZh76xRW5t2TNk1wFSVlcoWArLJM6xlOr2RDhlbLSMJwnXenrC7MOAdSyxAIYtPub5uD4heI8suMZZEukHQ5HNUlZ7LMMs0NgZaVtYdCQComHoYRk7sYftz7Iyxw4bZfntXcbo4PB+P4V78Amtwtr5BEqTNdc0FfX6SOSNWrRJvf+018Xa7ckF2g7f883M19VIGP4YatouQzQFW9lOmCeoVqiWf3Dw3dpoRepUR63YTJ7+qDmSfa9fm99LR6vW4K3N8270mZNfqnDn23scusnnMSZMzEUFxSouyugHn/Xz8yrb3WubQDUQVnnjVPCsgn+ze9oijYfDqq6/G1VdfjdbWVhx++OEYOnRoxg9ReMgmAFFzEzMZP1WdCoMgCp+RrSjINNYAzMAyJJPBLRyYOdO5fpeqslLZQkA2ebpVpuM2VWgrg7bp6VKVCUfkJt+FgepMJbuLKD/1GkW4PU77ZWDLFr12xya7i3armcayhYzV/XnvPXuvCwO57qXf4lqciPU4CNux7OaPpHJQua65oGfjyZwRsuDhsWLftm25oPXrxdtltiU/lnqV/Z81hjIsjqF25gCZJqhX5DqHQXIqmjUjlGnbBy3oZxfZtaSqqaQMWQayCrkmVU5DHuPc68V166bUCOD+tSuTDlMV6HHbKW0VUVY34Lyfj9353e55DPuYZWZniSo8UW5eoU3ZvfZwtIR9/PHH8eSTT+KJJ57A4sWL8dvf/jbjhyg8ZAuZxYvTf7PsrJEjbcn4OUJVGa3KyZ8ZKz3wH5SjHmXYKmyIFSTyWYC63ZBGtm+ySHhQJ0MWaXwdo/QNq1cDq6x76955x6UdI7LIN2CgOlPJbuDET71GEX7JHdjF7tghW2zbzdJxq1xZtpDJBdufQuwuLLuX0uc+kvo9665+aOwpXmz4tQhXhczmkZ1zWYaQ3Wvkm2/E22VOBP79vcr+zxhDjRmhFsdQO8fFGHRZs8b665xi1971q2+C3c9V5aBy2xlo9/1l15LdppI8ucYqN+Waysr0CkHVnHxy+m+714+TqkNVGucy3A5Y77OPeHuYenv8//bOPDyO4k7/78xIHDFgAsZYoHDaBEI4ZA4bTILDhjNAIGHZ5TS2sQXmZjcJxBw2d07MEYMsjM1uspDNBgiwCddvCcSATYLlnBwyR0DOOJgABkyCJU3//miVpqamqqe7p/qaeT/Po2c0rVZPT3dX1bfe+h71EFc9n6D3Mcr7HkW7U7FdpyOMd28zEyoufIMNNsDYqKstpID169dj/fr1Vdvz+TxaWloq9jORy+XQ2toaat/+/n44hsolNvft7wfEn93T26DqGO5g7qClpX+42m+plMf8+eXrkM8PolAYxBNPAGPGAN/6VuUx+vs3QE+PW4ylpWUAuVzZQhCXRZxHf38rxCSrUBhAPl9pTaxfr993YGAAra3VlofYf2CgFY4jjjuI3/52EHvtlUMu51RUMV6/HsjlKvfN5werPluwcGELzjnHXSN5G1vh6sLlODT3GMYNqMKuM/STr7hmpu82ONiCUik/9PsgWlsHUSrlMThYGPrODhYuHERra6li33y+hPXrB6rOUxw/ny+gVCogn1cNtcp77H5uAdCI04WCg1yuv+J8S6XyvrlcCS0tA9rvJfZ1jw3kcg7y+QEMDlafcKHQDyA/vK/jOGht7a/Yp1TKY9ddy9ekPEF3sH59v/E6FAp5DA62DO/b2tpf9SyKffP5POQus7V1vfZ7uedY3rcTXfhm63XuvmgFzjwT/WhBa+sJQ/vmMDBQPkBLy3o4jvtMAsC555afbxX3OlS2+/L3KlT8X39/P1pbq/sI9/xzQ+3IJZ8fwGuvlYzXTe4jxHF118GlvK/c7sX+lc9z2cDW7Ru23av9yfr1+u920knArFnyvm67N303x6ncd/36warzFAwMtEC0e7k/EedZKOSqnv/BQSCXG0RLS+U5GPuI0aPxh9Yt3X12d//e2roe67fcEq2t6yv2zeVKyOdzGBx024x7TuXrLfoIwO1P3Oumvw5yHyG3e93+SfUR8vHdZ67c7l1DWn8ddH3EVlvpr8PAQGUfIfqiQsEBMFgxjjlOHttuW92fiM91t4l9K/sIeV/5e4l9AXnfyj6i8tiV7X70aHNb7u+vPK47Tvht9/3D/Zn+2Po+Qre/175if1NbKhT6kc9X9oEvvlj5vcS+L77oXotSqfpYMvn8IHK50pBAZ94PqG1H1Ooj5P0HBlqGxhlvO0LtX2+6qYSLLhqAStlGko9btiMcB8PjUi5X7iNEW67VR+y4o86OcPCpT/Ur45Uz9KyU+ym5j3j88UoBR/QRrlBVbb+o9knNPmLLLfH7li1RKhWwaitxvs5wH6q7bnIfIY5rug5yH/G737nHBnI44YTKvsc9Vn7omXBpbV1vHAdq9RGA6+W8xx55OI57rYWAYLIN3H6uso9wv5uj/W5qHyHbBu7/qv+h7yN0/avc7tXxfrvtMPS5lXbSzjub+widHfH73w9gr72q7YjXXtMd38Frr5ltS3fO5e4v+ojf/tZBRwewNVZjDFajBQOuTdjTA2B/AP76iGnT8rjuuuo+YsoU4LvfrdxXtOVcrjQ0NuSw667OkL1StoNk2+CNN9y5BlDdf6jkcpVzDXn/QsHB4GC5Lbt/B2bNctvp+vVAS0u5X/FrR7htroC77ir3J+I75fOlqudHbvflsbD8fc47zz0fsa+wexzHGXqGh/5T6gNPOgk47zz9/KG2bSDPUdz3ot9yHHeeWhnhWf579Tign5fI10rXR0yeXD62bPuMHl0aui+V/UmQ+UOQPiJqO0I3dwCA1f1tWI02oEP0J+brJvcRlVTfF3VfnXYiji9rDLX2V+catfqIVauqfTZnzXIweXI/THaE0BhM16FUKtsng4PuvES2Ccy2UlmnUI+rzjVKpRJaW8vt/m+tW+JvGJrTfMbtS4V3r+h7TAV+C4UCCoXycQcGqu0e3b6i3dvYV9YL69nXSzuUyTkmJdCD733ve3j11Vdx6623IpfTd/RZ5v3338fIkSNxySWXYKONNqr6+7hx43DyyScPv7/uuuuMN2r77bfHGWecMfz+O9/5Dj766CPtvttssw1mzJgx/H7evHlYu3atdt+tttoKs2bNGn4/f/58rFmzRrvvyJEjceGFFw6/7+7uxl/+8hftvhtv/Al84xtf0/4NAKZMWYwdd/wz1q7dFPPmXTjcGQBuA7vwwnkYOfID7f/OmXPl8O///M8/we67/8n4Oddeeyn6+zfAunXAKafcj733Nrsrfvvb/46PPhoBALj//v/FihW/Me47b94FeO+9zQEAhx76KCZNeta47w9+cDbWrBmNdeuAL33pl5g8+UntfmvXboqbbrqoYhAW1+KVV8biwQePhuPkkcuVcMwxD+F3v9sTr7++A15+GTjmmBdw1FG/MF6zH/3oJPT27gIAWLZsBe655/+M1/2RRw7Hn/7kKjmf+cwfceKJ/2P8bvff/2WsWLE3urqAs892J67i/MaPr4xv/Kd/OhKf+9z+Q+9cA8C076OPfhGPPTYJI0YA22yzCjNn3mE8h1/+8mD88peTsW4dsMMOb+HUU39o/G5/+MNn8dhjhwEA/vKX97BgwU3D++ieRcEnPrEOX//6d6u2C1as2Av3338cANcYmj37euO+u+76Gfzrv/7z8Ps5c+Ya93355XHo7j4ZI0a4nrpnfnMhWjbQuza//vr2WLz4DKxbB4wYIYxv93k54IBn8cwz+lCTdeuA2bPnYfPNK/sI0/W46qq7UCq9rj3We++NxLx5F1ZsM91jtY9YuHAx3nzzz9rjrl/fitmzv4kRbvPEySf/F3bZpdfzXAsFV1Tx20cAwE9+cj/++Ed/fcRRR/0v9t/fTh8xderZ2H770QCAyZPNfQQALFhwJnp7t8WIEcCBBz6Nww6rrFhkuhaf/WwPjj/+AeNx1T7iF7/4mXHf//7vEyr6iMMPfwTvvLMFttjinao+SPQRADBu3Ms45ZS7jceV+4gddngdZ5xhdn1Joo9Qee65ffHzn39p6F3lBEsdx4L0Ebvs8hmcfHK5j7joou8br6/cRwDAN795HTbYQG9HqH3E1772HYwYobcjVq3aBvPmzcCIEeY+QvDWW1th/vyyHXHLLfPxt7/p7YjNNhuJiy++cPj9jBnd2HZbvR2xbt0nMGfO14a/2xlnLMYOO5j7iOuu++bwd1P7CBVhR6xbB5xxhr6P0LWlfL6ECy6otk9q7avvTysXDt3fS0OvlTZxPu8M2wb19hEyixdPweuv74B164DJk5/DQQctwTvvbIkttvhb1XdcvPg0vP76TgCC9xFedsTy+/fG3T/4FEZMGh+ojwDK48vOO6/UXt+XX85hl1389xFigdo0bgHA008fULOPWL68Y9hmE8cMYke8++563HSTvz5CXVRX+56XXx6H//qvk4fbhp8+AnDbxpw51X2EyTa44oo7kM+v0h5X7SNmzZqP0aP99RG3396N1avLfcTatZsOP6MtLYOh+4j/+I//wquvVvYR8n0TNoRXHyHwY0e89toOuOuuavdVMR/SMWvWBRg9enMAte2IL938M+z3jpsnMoo+4uWXgV128R7n5s/vxFtvjQHg9llHH/2goW1Wousj3Pvsjns//OEpWLNm66r/mzJlMd59d4uK+dHXv/46vvUtt5+qZUc8+OBR6OnZz7P9CGQ7Yptt3sXatZ+sOt6BBz6NZ589oOK7vvXWe5g/358dUauP2H33vfDP/3wcANexoFTKV8wLRX8V9FnbaadxOP107z5CtLuPPtoYP/nJiZqzK+HMM+9Ae3s5f8dLL43D3XeXdY7vf38e3n/fnx0RpI9I2o5Yvx64996f4MUXzX3ENddcioEBt4/I50solarvm+D667+Ojz/euOoYuvsnzzVq7R90rnHHHdviqKNqH1f0EevXA7/5zXN49NFfGI/7la+chD33dOcas2e/geuua694hr36Cy99SJ5r/O53L+Pee812xP/+75H45S/3x4gRtfuIL37xi5g0FMqwatUq3HGH2Y44+OCDMXlopeOtt97CbbfdZtz3gAMOwGGHuXbEe++9h5tuMvcR++67L770JbePWLduHb77XXMfsddee+G4444D4Iq4119ftiP+8Y9/4IYbbsDatWux2WabGY8RylN3yZIleOKJJ/CLX/wCu+++e4UXKADcG0ccEYmdXK6ELbZ4BwDwzjtbVjVcx8njnXe2MAqUgBtulkTusCh5550tq/LmimsxfnwPdt55ZcXE/ne/c4vY7LorUCrthpdf/rRxEqL7LNN1D8PUqcC4ca/hrrue0goPKu3tffinf/p/vvYNysiRH+CYYx6qEsFrfY7umqSJ1WhDCXkA3vkqREic+C6Ok8czzxwwLPL6xXQ93n57JLYI8Jg4Th4PPng0dt55pfV7LdCda9RpPdKK+vwDbojfokXmlV0bnxnVvQ2LPPFXCdtHeKPvu/0cUz5X3f5pvL7NgHhOHnjgGIj7O3Pmb433SN131qw/DO+re+Y22ugf+PvfPzF0BPH85AGUkMs5Q+23hAMPfBbf//6nMXHiqCi/LtasGTU8mdJNNoXni23mYg5aJ/0BQLA+auutV+Pkk/8LI0d+gNde20EzXuV8h87/4x8bAiiLo/WMW2vXblrR/5brDUTjvKKGs8u2nBBhbGK2DTbH6NF6UdcWsuiay5Vw2GGPWj2+bGvPnn0GdtnF3rG32OJvGjusPB+qh+XLO3DVe1cMvy8Wx9R9TBU3PYV5nFu7dlO89VZZeC2VcnjwwaPx1a/+NJRtLca9tWs3xZo1o6v+nsuV0Nq6vqKtOU4e3/nOjr4/4x//2NjYfrzafaEwqL2XqqALAH/5S/h272Ub5PMlnH/+zdoFX9fuqRbgwz5rarvTk6/wchX/Q9xrIXssn3zyn1Ao/MY4BxaexJXbgt2/eu63QB9M7+Avf9nGuBAVhOuv/9Swl7EYcy+8cN6QLXU01OyuQexqEp5QnrpTa1S7WhRH4o4IEZ66a9as0SrijZh+4ZNDC5dvvQV88pNy+oVy+KjjDA652bv/63Z01SEi773nvvukshgqPG9HjHBd6N2QJPdv775b+T8ihGHdOmCzzarTL7z1FjB6dOW+ALB27QBGjaoeuMT+avqFt98eHD6Ouv8WW7j7uudQDnfo6UFFygbHAUolfbiM7lr095dDGNT9c7nK7yaHRL3//iC22GKw6rqLNAilUmX6hb/9baDiu4nQod/+1sGee7rhDuvXA6tWlbDLLgNVYY2Cv/2tgM02qw6JEucpn2+pVMD77xeGPU7lsEl5P7Hv4GAB69YBm2xSDn+Sz1PkhJTDpz780MEnP1meRIpwJVN4zLvv9g9/rhw+tWYNMGpUdfiU+iwC7vOZz+fxiU9Uhzmp38v9nDzWrm0ZXmEW+777rgjRKR9fhET9/OfQrqyed94AbrmlOrXEyy8Du+3mhhjJARM9PcBnP1t9Pf74x37svXd1H+Gef2X4lIwasqz2Ee+914+ttnK018H9+wbD10EOhXzrLTfMsvp5doVddV/1WQvS7tX0C2+/XarZ7t193XZv+m7vvtuKTTap7k90+w8MtODDD/MYMaI6bFLe332e3T5i3Tpg003d0Gp5H68+4jNbrsIYrMYvfwnAAT75hb3x1uMrMPqLe1elaFH7CPl8ttyyOv2C6TrU6iNkvPqI730vj/PPrwzDdpx83X2Eep3V9AumUMi33tL3EeXt5XMtFAbxzjvAyJH19RFA9Xgo+ggxfqqhgpXPTw5r17YOe+puvnll+oXKY1e2e6+2vGZNDptvXh026a/dl8MmdfvLtoEaLq3uLyaf69YBI0dWh1bL47PctwTpIz76aAClUqliDJCfuT32qA6bFCxa1I8zz8SwfaD2EaLd++0jdM+62Ndx8lovPMDBH/7QP7y/2kdsuWX1ypk4Hz99xNZYjT88vhqHfaGEJaXPYQP0h+4j9ONV2VO3lh0xOFjup2TEuKXaJ159hFf4qGxHqNdN7iPEcU3X4fHH8zj4YHdfXfqrfH5w6PuUx3u53ZvGATm02m33+vQL9doGbv/naL+b2ke89+Kb+OIeRfzov1ux21f3rrKRxT0GgvURaltW9xd9j6mPCGNHVPb3blqkd97Rzx9cO68VG27obUd4zR3UuYDArx0h9hV9xKd3KcGpmHc4+EPLbujI/c743Ofz/UMh12pfV+5vvOyIn/40h2OPrT7uBRcM4NZbHc+0Nl52hLBPgII2fdyaNd5zjXx+sGLsPvfcEm69tboP+dGPHHz5y/1Vc1lxDuFtg3LqF909HhwsIJcrDDs4yCkI1f3ffjuPkSNbtLaB/vnSUX7m/vAHYLfdqv8nqj6iXjtCntMNDFTbEbq5A1C2I9avB15/fQC77eZUpGE0z0/c+bYpSF1Nv6BLvSWOL881ZK1Ft79fO0LMH15+OT/Ut1baBur5iz5i/Xo3pcJmm1XaBvLx33mnBZtual7kKRT68fbbDkaNwlDbNn+ufF/kucYHH5SwxRbe7f6DD8rzhw8+0KeZdD+zcdIvvP/++9hqq61qeurCIVWsXbvWAeCsXbs26VOJhfXr3W4RcJx168q/yz/XXqvfXihUb1u/vvKY8s/8+frtpv8xnY9p+9NPB9vfz3Z1n3y+ev+uruDXwvQT9FxN19S0v3z+69c7zmWX1Xc+6t/rudb1bNfdF8BxXn452HXT3TOv+xjkPNevr25ztc7TtN30fW1dT7/Pg+k5CPu5uvti+zOi2h7leXr1SfL2i/A95/8w2XkT2zrr0eJux0apuD61tkf9TJu26/pur/2DttWg5xN0PFQ/1+s59NOX6f4vbc+KrWdId8/C9Pe17kVU3+vnP9dv/8Uv7Hyu1zPdgvXDfUzS9930E3cfVGsMMP2Y+iD1HvgdB/xsF58Z1b1Z/80rHQdw/g+TtfuHfUZr2ZxJ2wtB+2/Tj83z3AzvOkDJve/od7cveT7Q+eRywT5X13fk847z6qvl3+W/+R2HxXvZVpT/11Yfl8+7czsbxwpqG/jd33Z/8+ij+u22xpM4to/BX5wOPO904Hln3dPuM2561ru69H1+kOu5bJnjLF0a732vtd00jpl+/vxn93uo21eu1H9W0HHykkv0x/Xqy/0862JO3ej41SXTG7NMUsXll+u3B60yarsyoopcCTYqdBVgjzgC6DWn7wlE0CraQSuuq+cv0jgvWwYsXRrsWGli8WL9dlMYp6kaOgAUi5Xve3qA5ctDnZZvTJWOTdttVCL2IupK0CaCPs+kzF13ATfiIhyCJ7B9/k0swlBUjaVqsWGqRAch6mfaRFLV1m0RdaXsLBH0GbJ17UR/aeqv68X0vUw1i21VMQ96fYLaL0H3N/VBQccr0+feemv4Y/pBtrPc4nouXn1QVP1K0H4vKP3T3MrlO9z7feQ16adsPaNZJh/TLPx9bA4ghzwG0IuhTmOo4JCK6bkPWkJH1xfedhvQ3u7+Lrc1wE03FQTZVqznWfaysaXSNb6wZRv4HUdEP2bqz0zPl+l6jR2r/5+0tVXT9121yi1OvRz7YDn2QeukCe4fDtKLA2efHcxm0LWNjg5gvL4pBbYHbNkP4jvlUPnlCtB7q3Z3AxMmVG9fuFB/fLXt1uKGG/wdV0adh69Yod9OyoQeTv7nf/4HJ554IiZOnIjx48dX/JDGw9TpBe2Aopy0WxUli0V0YDk6sBxYUVvN6+4uGyp+MRlOcU/Q29rcV6+BKQtMnKjfbjJGvHK3dndXvp8wwXz8rOBlBOmIesKXJYIKD0nhLpq5M69SKYdZmO/+wTB5C3f86Ihrgqvy1lv67SYBKaiQ1tMT7PhBSUoMbwRsXbuk+sugi4FBiVokD7q/qQ8Kev1Nn2tLKDIh21lyOg2v+2VTUBmDsm277Zoh27YnohXrtjb0YDzaD/8sbsPZVX+OagEkS9x2W7wL6Hk4aIe3QWN67k19QRCRRc7eqC7gey3oy8/t8JxMem6jepaC1niwtcjm1+YU/ZipPzOJb6br1d7uPpN+908KL/G8C+5i0v5YVv6DwbEh6PgWdOEhaTbGR8BQ+q0CBjD/kje1+82Y4WooAPC0dKmmT9cfN6jzjarPmI4rc+edle+F054fQbhZCTWFuvnmmzF16lSMHj0aPT092H///bHlllvi1VdfxZFHHmn7HEkKSGqyHQSbomTrnZqVPg+Et2sQghpOxBuTMGMyRrwMafl+LlsGPP98tr2YgeAeBGkz4pIk6oUWsQJdL2rfMRiuFqrv4wtsiZNBV/9tYSreafLmN7UN0zhpOn7UIjmJD/aXLkHtF1v723IwkMWUtNxTm+cRxIvNJlOxKPLPyCJTp9qL8rOF6XkzeerGIbLYeG7DLM4HFdxtLbL5tTnLxRz1fw8T+VajbFIq8BLPV8NdTOqBtGpmcGwIqm1kLZLwI2wC4aH/OnbA1Mv13mdtbeVFxr33rtxuA1Wf8XPcadPKv8uisB9BuFkJJdXNnz8fCxYswK233ooNNtgAX//61/HYY4/h/PPPx9q1a22fI0kBSU22k0KEjVWs9A0hBnl5sA/T8SU1YUgqrD5qTMKJCa8VV/l+isEoKS/moGFVpv2jDtM1YfJSjANbHrZRL7TYShujPhOmUCtbxxdkVZwUHglyGLSMyUvHJGKrngUC2TiVCfpcRZ3+wougnv5J0ajjW6N+r6BE7WAgiyl+2putNhlX2w7ixUbsYrrHQaP8kuLaa8u/+/Hms4mN5zbo4nyhAMyfH+x/bJGUc09W6tzbEs/j9pS3jWl+pX4nPx76aUM3D1e3k0pCmUdvvPEGDjzwQADAxhtvjA8++AAAcNppp+Huu++2d3aEJEWbZqVvCOFhG3e4pa1JdaOG1Qth5mmfdl5WVlxNhmjQHMJRh+maCCq22yTuVCa18pvpsJk2pjIfpIP5CJgQLsDxZWxNQLzyXEeB8EjoqO7mAZiNfZOIbfIs+OY39fsHFahMnxvHpCRteYRNBB3f0jahS1s6nLRdn6gdDOS+zE9/ZKvPimthLIgXW9YxpQVIKiej7h739cV7Dk4d/3vBBeXfo/Dm88LGcxvUTuntDe61mrZFzqDnM2tW/M8kkJzzRxo95YNgml816jyfeBNK1B0zZgz+9re/AQC23357LB2aubz22mtwnHqGDJJWbBmuaZsg1KKEHPpQqXoJESwqMcx0jYJOqk0h3WkJKRTY8lAZPdp9lY3NtKKbVJiMGpMhGjSHcFIEFdttEre3Q638Zjpspo2RFyp6XxiwHvJqWgix5T0XNH+dCVsTK5M3v+m5CupZEFSgMn1uHAZ8Up7+QQk6vpmuXVIeS6a+I6lxO2qRPOj+thZj/Xyun/7IVp/ViGm3RD/cl5DQZYqcSCono+4ex7EoJtvYg2gpF1CNmCSjtGwQxoM6bkcCXeSoTNDzGRxMZqE2SeePxx5L7rPDUivKLG3zfBIPoaZihxxyCB588EEAwPTp03HRRRfh0EMPxb/8y7/g+OOPt3qCJB3YMlxNE4SeHmB5RLUawiCMoBJasDPiHeG8qpLqME2qbYV0R42tBYO0VYD3EpbUQmxAcKMmqOdtUqHbujxNXiQZYm7Cr2hZK79ZnLTXYdQFvQdBxUm/IWNhsdUXRC1iBxWoTJ8bhwFvy9M/ak+moBEtuvPv63OrYidBUn2HqU3aEsmj9kAOet+feKL2MeX+yNQn2uqzslC3QuB3fBD98Nhd4xMSZeTIibjTBejQ3eM4FsUqPYSlAqoRk6RQF5aKgmw9ywNPTG313377lVqRo0HPp1CId6G2ljgZNaaxPqidEvcicK0os6yg2h1ZXwhKmlBmxIIFCzB79mwAwFlnnYXFixdjt912w9y5c3GbrmwiyTy2DFfTBGHCBLPnYRLIRpCDeN2Lg06eddtthnRHjW1Pl7SEP3kJS3IhtriMmrhD28OiC1FMyz1tFoI+K0HFSdNkz1Zl4aiFsaRyzGcpt71J+Il68c1GmoiVK9OxMCMzb16w/YMuzNgSYEx2SlAP5KAirem+m+yg11/Xb5eFN7k/MqVHuOUWRQhaMSQC9QQTg7zatuleJjUB9js+lBc54xMSZeQIiTjSBYjnwCQG6u5xHPl0TQVUo15AT9s8xM88tqIg24R9gIm1C2VHgd/FLtuRo/Pnx5vjOWlx0jTWB7EXklwEzjqq3ZHFhaA0EUrUzefzaGkpV9U+8cQTcfPNN+P888/HBhtsYO3kSPyYDOarroruM++6C/jhD4GHHvJ/PlHjNaHLgsBkM6Q7aoIuGNS6/n4H46AGrSnPlOl8vJ4h3WQjaF7PoJjE87QVQLIZomiq1hyUtAk8UWNroUWl1gJGVvJcR32exaJesDnssGg/1yYmESzqtmQjTcTYsenznBzyo/CNX+EtrkXFoPc9qDhvuu9B+eUvy7/L7dyrunyFEDRpSAQ6KFiolFefYrqXSU2Aw4wPQkhMA1HZNuI5MImBSY1vpgKqUedxTts8xI9QWlWQ7elnoj0pA0mFzwfNIZx1TGN9EHshjYvAWUFNz3fvvcmdSyMQ2mz91a9+hVNPPRUHHHAAVg2NkP/5n/+JJUn50BMrmAzpKAfmKVOAU0/Vr+gmFVLvNaFLW2GYrGASUYN655meUYHfwTioQZtUoSBb4am2cjVHjZeBFVSItyXq+hXWa+U3ywpRnX/SXhlRY8vzqbvbjV5RSSoXpBdhFrWCHCcoNqti64jaOzLqRTyVtLbJoOK86f6aIsA23VS/fZ999Nu9bMIqIQgAlthLIm+6l0nlqw/zjAohMSnkvjmqeYV4DvqXLKu9c4xUegiXC6g2mxDlZwyoKsgWsEhH1m2/RsJPhaf2dv1YH8ReSOMicFZQ0/OdcEL5b2lMxZd2Qj2GP/3pT3H44Ydj4403Rk9PDz7++GMAwAcffIDrrrvO6gmSeIm7GMqyZcDzz7s/cki6ICmjwysULm2FYaLG1mTbJKIG9V4wPaNiUPU7GAd9tpIqFGRrxd7kbR/0e6kDre2BV9f2xDUIKsTb6j++9jV/+9XKb5YVbKVBSIqkJla2UpzMmOGOjUA6ckF6YRJIgk5yTItISUQSeHl9Ru0dGfUiXlawJc6b9g9a/sPLJqwSggCgw54nhOleBs1Xbwu/40N5kbMsJCaFbDtENa8Qz0HaVkhkG7uAcgHVrApRonh1GqMm/eTqTgMmu90UkRj0OEkRpihgvd7JJmE4SbKWm1a0ZblvzkrKwDQRqku/5pprcPvtt6O7uxutra3D2w888EAsT1O1KxKYuIsvifCc8eOjy3MVBmEE5TBY5WHQbFUla3k1+E10bsuQNl3/F18MdpygBq0pz1RWnofLL9dvD9rmVWFVDLy2xBcvkT/oM2S6x0HP6YYb/O1nO79ZUmQlDYKJpER1W2kr2tr0gk2axkiBqU2aRDBTmzQtIpkiCR5+2Pu86qFUAmYpGlRcaQqiXsRLClsis41xJkyuzyT7xLQtsvm9FqIf7n2hLCTaIIyY12xeqSbk4KUs5WgXlJDD2KHi1UkWRzbNfSdPjvU0amLqd02C2dix+qJfpu8bdQqPoCRVFDBtaSuylptWZ+dFlQaukQkl6r700kv4/Oc/X7V9s802w3vvvVfvOZEM0egrKQWU0AtLydoySi1j2G+i86i9AoIWXMmiQVsPtiY1VUU3hgbeONI4BH2GTPc46GQgqTBXFDUFeIa2EzO2hLGg4kHWvSNtYhJ+TItvpntm8po9//zg5xQEdUKRdJqCoM+WaREvKWwttNgYZ9KW6xPw7muCCspp8WAUbbrd8iJnGDEvq16pNjA9D1lcvC2hgNJQ8eokhfqkcsYDwQozmvpdk2BWKumLfpnm+mlbLDEVBWw2EpuzhERn59GeDk6oYa6trQ0rNZbVkiVLsNNOO9V9UiQ7RL2SkoZG3Y6UWMgpRR08TJ5MSYmopgmAX4M2aDiSIA3PbhRUFd0Y+p4m8WXECPfVxkQz6DNkuscmQ9SklY4Z475GFeZqesb+Ou/u6gI8QDqTqzYgQcWDtHnUpRFb4fNRV1ZPW/8dVBRN22Tb1kJLUmmQosam12GSHoxRogvRlbd7IdsOSbXtqMV20/Hl56EES4UGEiP8+du8/kn2r0EKM5r6Xa82oPtuprl+2hZLTEUBs47fiFhBUql5wiKeU/m5pD0dnFDNsbOzExdccAGWLVuGXC6Hv/zlL/jRj36Ef//3f8csNWaNNDRRG0dZz03ZDKiDh8mTKWqvAFN4UBjjSw4/Gjs2nIbWqAOSo1QfEN/TZDyKcDQbE82on6E779Rvj1JDXbTI7H320sQp1QV4gHQmV21AgvYdWfR8qpekBJIovS0LBWB+PFGbvsl6Shdb2Mq1awtbQlE9IpG6GJk2Qd8W9Xhpy32zaV4RdX7QqMV20/Hl56GEwnBO2mzip/yVHpvXP0kx00ZhRq/5ie67mcb5q68O9LGRYyoKmLbcvyZM44nfiNisI/fNzWhP10uobunrX/86jjvuOHzhC1/Ahx9+iM9//vM488wz0dnZiXPTlmCFRErUwlUzTmTSNvikzWPJhK1UIH19leFHpRLQ2RncYzdtA5Kt+6iKurW+p5hQZGGiOW1a+fcoClTpDLZZs8rezCo7779ldQEeIJ3JVSMkLeHEpJpGXHjt7Q2eI088o832rKqFaNJmv0RNGrxiTYuRfkmiGGEYbHlpm+YVUaeTi9oG8nf8HF5BOt3aTc+b7JWYl+qcBLVpbV5/U9RY0HMK01/aKMxostsLBX3RL9NcP2ian6j7FFNRwKxIU6bx5P773VfR199xh/vaaJnYmlHzsUnotaZrr70Wb7/9Np577jksXboUa9aswdVpW7IhkZM24aoRSNvgY6rmmjaD31YqkJUr9XljbeaGTYJGFF/Cks8D3/xm9XZZK62nQJXJUDcVA/joI/3+NHBcggonSVX+TVufGAePP570GdjHVBTTC/GMpkHks4nXM+0AOBuVCoBJGGtUsTcNi5XyYmQYD8If/EC/PW02jy5EV95eL81RmMfBzkjZjR3C1HeqXolPwd2QpE1rmvsGPae0zfdMC5pBU5mZ+nvTPY7CdpITdQTtp4MudJnE1aCiq+k8n3vOfRV9/Zlnuq/MxEZkAmWQniZbDh7cWe+yMckMuslzsdh0jmRWScMkQebDD/Xb02bwFwp6o9y03cTYse7ESL4PhUL2c/ZRICyzcqUr3Fx3XX3HMRl4JkPdVAwg689W1ATtE02haWEKnwXpOxpN0PNDoxdL9UuWIhKC4PVMO8gNFy0SmNqLqU9sVLE3KEH7GhnZ3r7tNjf6I8ixbr5Zvz3ouKQKGCtWlLfbnBK88AKwyy4WDzhEPfcgCmwJRfL3ymNwuE5I2jy01b7zvvuA449363SIMb2EFnwObhhV0OLIcRDUzrYlNtoizIKmDr+F5MT3idp2Uud0tQia6qW7W7/dlug6bZo7X1m2DGhpAfr7gYkT3SjC66/3d4wixuDNhBweSDwEWtNdvHgxnnjiCbz33nt49913jT+kedBNnk2dWxga2eA3Dc4mT4ugg7mcF7YeslKYxBQeFHTlvL29MvyoUAC6uuwZO1knaHiZ2D9NaTzC3ku1P/r0p/X7mYxHncE/fz6fLduYRIqgC1GmvsPUFzeaoOeHNIkgacRkw0TtTW4r56PXM52DgzwqHwBTP286Tto81WwRVJCz5XU4darrbRcENaWSIKhApfrzTBqq3WRL2BBtZs0aO8dTiTqdnK5teKX1Cprj39T25GcrL+WkNQlXpgKUcYulG23kvo4eXbldLCSZzsf0vUx9olh8SIKg/XRWit75tYXEsxa17RS0yLJpfDbNe2fMKP/uJ3VbUG1DLNyJWgKinkAQB7oudGLCQa3BPtgSxWLlNZUX/Ig9AnUnZ511FtauXYtXX30VX/jCF7Bw4ULcd999VT+keViyxH2VOzG5c6uXoN4dtoRMW3idj2ll0jT4BFnJVPPC1kPaCpOYCJoKxMtAlcOPenu9c6o+8kiwz806QSefYn8bk9akw9vPOafyvWkyHMRQD5q7s5GxZeCZKv7ayr1oy6ukERYt07RYk0ZMNkzUhU5MdoTNPjQH4DZUGhomYczUJ2Z9IcT0/JsEOZPTg017yrRIaBKvbC0AyMGcy5aVBRtbOelFmxFisW1MNqStflpnA40da54nmHL8b7qp/+MD5mfL5LBhIu7oPDFeB/WaNH2vX/5Svz2q58kPQcXGtBW9M/V/SRaS0+E1P9QtrFxxhX5fU1sKmrotiQinTnRh2ZJ+AJX9SRx0dwMTJpTf217wIy6Bmt38+fNRLBbxjW98Aw8++CA+9alP4cQTT8QjjzwCxzS7JQ1Nx1Ce9nryTwp0ho3J4Nd1iDaFzDDoBoZZs4Dly/X7m75b0NxFOnR5YXUELf6VReqpmAzU9qL8yleCnU/WCTr5FPvbmLQmHd7ud5gLaqgTF5MQkgvokDJ5svsaVe5FW0JUI6QusOXdNm+eneMkhSkiwfSsyKJXFJjsCNt9qChEU+tzTX1i0LadNkxCmkmQs+n0oMPLpjOJV7bGK9n2Fx5l6vZ6WLYMeP75aNuNDlv9tG78KZXceYIOk1B02WX+jx/0fAA3rFtH2Oi8MSiiA8vRgeVAz/LypEhZxTWN10GjBU3fa599qrdF3Q/Xor66NMkXvTP1f34LyZmetTgx1bqIEtPxoxTD27Baq9mEIeji8IwZblsDolnwIy6BH58NN9wQJ510Eh577DH86U9/wu67745Zs2Zh++23x4em5Jsk1aRB2DMJsqYOTtch+hUyo8I0MCQh8Ii8sDpkrwMvL4FGIY70EWlblW40hAGRtFeXXwGCBSTDYRJCnnoq2HHEc2Iq8hgVQb1WbU0ckioMB9h71mfPtnOcpDBFJJjGBln0ihO1D63lhWjLE3vPPe0cJ23Y8tyqBz82nZd4FfV41dMD9KCj7uOooceCqCN4bPXTprYW9PhR20G2o/M60YXl2AfLsQ9aJ+wDTBxy2VPc9Px6GhcwUNf5yCTVD9vBftG7np5g9oTpHvgtJGcqfhgnploXUWI6fpodQuT+K+jicFtb2QkwigU/4lKXFJHL5ZDL5eA4DkpJz7ZJKBYurOzQgoYZDRtTRcNKrE96e/WGyvnn6/fXTZS8hMw4wrZNA4McfhmX+KfmhZWRz8fLS0CQ9RDhONJHsPszY6Ptmbyt40atEk4x3y4mISTspGvdOu+/2x4XgqYYsTVxUEP5kxR5mxVTREKaJ2lAbS9EW7leTekmGORXm1r9lB+bLknxasJBrZiA56q2h+2n1DQ9UUfwhOmndWHxprYW9PhZszu60InxeB77Y8hV7+ln3FfFTc+PTZ7HAHoRMG9EgyIXvQuKaV43YUJlmLxtTPfY1jhjwtSH9vXpozGjzq9tOn6aHULUcYakj8BDw8cff4y7774bhx56KD796U/j97//PW699Va88cYb2GSTTaI4RxIRfX3AzJmVjTNomJEwplrvNKzE+mTcOL2hYhIcdRMBLyEzjrBt3cAwf36lIS1P8MIWnPKLKVen2hnX8hJo1EImNmFeSTNh254csjf249/bPamQqAbXiy8mcx62sFVdO63U8sYP+2ya2nvQhaJ6Jw6mvGhR52v1Q9oqqydF0Ela3Iuotcb/ehc/xTMq6i+ocOysjdxP6Z6PoDZd3Cxb0o+Z6KrabuqnavURal5i9fvb7mPC9NMrNcKj7r4UCu48oRayAH766cHPJyn6+oDVaEMPxpe9tcWKbQ03PXEf5fuZhxNayGwE5HmyXPQuKKZ5XVIpTqKu0RI0DV/U4uq77+q3p9k+opCbfgKJurNmzUJbWxu+9a1v4eijj0ZfXx9+8pOf4KijjkI+a0uHROsdGzYM6PUjz8Z4PI+9sRzL0YGeO1cEOo5JkDV19CbvDr9CZlyo5yMPFGELTtWL2lRrTaqy1pGrglTUlW39GuXNinh+ghorcsjeDse7KyMi7E4lKQHJhiGaZPqboNW1s4Lo09T7oz4PYZ9NW31xvRMHMTdWC5aaBLQoMF0706Qw7mI7tUhbJErci6hRi6riGe0wRN8HFcya0Qu9luOFH5suyTRbHR3AHMypKtJj6qdqLbbVyktcq48J2t+H6afHolpF0t2X3l5/xVJlAXzxYv0+aVtIW7SoMoKxhGAJtMVzkHQthTRhy5HANK8zpTgxEfUzZ+s4caThC4IpL3ZQ+yhOx4y4Zb40C9xpJdAtuv3227HZZpthxx13xJNPPokZM2bgK1/5StUPyQY679iwBv4rH26NHozH77An9sFyTJi2e+BjNFsVeFtFDYKiegvXEiSztl6jClVRV7b1a5THRdCBMK5JclBjpSpkD8AL9+rVtHqL4SVJknmtTTlsTcULTAskJmFM3T8uI80kutp6TqL2KgmKWvzCJKBFQdDUKKZJVFLjTNqK1QVdRA0qSl97beX7sN7ittpyUMEsDV7oSaJzvFBtOvUeA27UW9AFRJu2ga5Ij6mfMrUBcf6yg6eu34gqQiMIOm9SXVurVYhXsGwZ8NBD7u+LF5d/l0mbHXT22ZX3soSCNi2FCfG/WXMsiRJbtoet8db0zJkWdYOOG7baatpsNpNjWlCR2eSYceON7mu947T8//VEGodBvveNXvvHFoGa9emnn44vfOEL2HzzzTFy5EjjD8kG7e3AggWVjTOsgS86ojxKeB7j8fyy/kQrijYTQSd18iTKjyCZVE7AsCvAslDlVRzEK8dSEPwa5bUw3ceg1yGoERTXJDmosVIVsgdg28P30O6btlX4IPjJax0WMYEyPStBi/mYFkhMwpi6f1weNyYDPsvPSVoxXVNTVWvTvYk6lYmtIkVRE3SyHVSUvvDCyvdhvcV33TW4550Nkq5WnzS6ybRq0+m87AYHg4t7UdkGurB6P+jO/7bbqq+JaEOyKC3/npRIWE9kRkcHcNhh7u8nn1z+XcYkwic1vlVf55w2LQWJH1vzOtP4byJoHxR1W03KqcI0zgcVn02OGSLyOYjNLea+8+aVt8n/X0+kcRjkex9mUbIZaQmy82JTzAfJLNOnA4ccAuy0k/t+ypRgAkOh4BqLoiPKARiPHqAD6Ld+ttWfG9X+WUIXrmlK/q7iZ5+gz4QtwnodrF5d//FtCbVBMIXdBr0OJiPINIFassSdvF1yCXDDDeXttsKS1T5CYNMLKEwxPF140j33lH+PM8zXVt8k3+NFd+Vw9lBlZBti6rJlrneBTqzTnf+yZcBf/woce2x5W9h0B7aoqqJteDbjImjxjjRiqxClaX9b7TBIWoMkr/+ttwYbb5Oya9y2HMzzLgim8SdOL/S0INuvt9zi/XyYnttCwb+49/TT7oKcsA1sEzasXnf+U6cChx5ansMAZe81+dwbzcNbJ3BccYV+36TGt3xetUcdbVoKEj+25nWmZ8u0qJu2BfQonSq8sFUg1OSYoXq51/q4RYtcz3oAmD27+jgqcfcpYRYlm5GMBVaTKKhn8hLHao2Nz33iiWjOIw3oOt1G6PzCetXJxvuECWbjIkmvPZ1Bbho8bZ2naQIlJsnf/nbldlthyaa2mvQkSy22AlSmHYjz/GyFMsn3+KxzCijBPbANbwev6um68+/oADbaSL9/WvqnsOOXrQUPPws2QQTwsB5wacZWOwzSBpJ8PoN68yVbaCyHVxDNgBl0/DG1yahzJsfR1uR+as89y7+L9DbqAqWpaK9fW79WeoSweRz7hq5VrbB60zNtOn91u/Bek72648wzHge6sSNtjiuqF3Ueg4GKnIn/ZTHFxiFtaRCAZNqNLVHX9+fViKpRU6WkjSCLks0MRV1SF0l10EE/d/LkSE4jMFFMAMLkFMsCYT3AhPFeq4qr6ThRe2gtXFgp1IpJZ9BwnKBtoNaAHVUFbdN5qsWd4kYutvKzn7mvcq66uCaBYQrtmYQK+R46Tnyh0aa0PWlPdxB2/AoqOJn6fT/XRxbqawlUURaWibugWFxF37I+foZNmeUXb09pBzsjGgU86Phj8sSOOmey3NaiSkch91PyIodIb+OnsKXNvP9hC2yuXOnv+tTrLCK81+SFSFmgjlokjCPKRzd2JCV+mr7v1KluOhBBvqa/YCXiOUjKeYiEx5YNEscz3QyLBrkabS+Ngq58X4IsSjYzFHWJFdRBffnyaKoveuGVFyctHVaQCbpfdLmRmrnzE8Z70CqucdDXB8ycqa9mnVTuYoGtool+UYumxI0ctvTFL7qvcq66uMJ8wxTaCxJK7oWtPtrkXaj2Q+KZSqO3RhCCCk6mCY7XwpLw5tf1FSqrDB5wYRcRdf8Xd0GxuIq+ZX38rCdPpx9MntKFQnDPuyAEHX9MNl7UXlhqIahfYx8AlW3I5mK+vGgtFqxNhS2jImiBTcHYsf5EvajHh6hFwkkxRPno+qioF3hMeEVT1NOXiucg6/YCEG86rzRga84ddVsN41SRBEGfH9XLvdZymsmpKEnBW773aSpGnmYo6hIrqIP6hIn68GZb6IzkLCTS9jNBD0rUkzpij5UrzR6xtu6jrvK1H1Rx47TT6j+XrJBkuLrXpMd0Xn4M5lzOQQEDQ7/r9/Hj4WWTrHnciPBmFb+Grk6Y9UuQ8FrbVc+zENprC46f3pgiKl54IbjnXRCCClRRT0r9jRE5fA7uhfr0p8tbbXrOq4vWgLmwZVQELbApaB8S58KG1ff02HEYiUokFG1k4UJUFHgV6M7bpgNMUn1Zsxcv9EPS6cayStSC/n33AUccEe1n6MjngW9+0//+QZ+foF7ucqoUuV9O0mZvhMWcuKGoS6wgDP9nhoyaZUsrw5ttY5p0piVXox9Mk2RbAlPYvGdRYRJImomxY+15xJpWbtXq5n4/R50QRF0XM+m8n7Jnf9hJt+ptbztE3XRefgSM238wiN6hStNPPVXeHsSzyjZZM9JEeLOKX8HJJLb6IUh4re00F2kK7bVF0ElU1ES9AO23fxXjiGl8NkVUmNqyrX49qEBlinS56qrw5yD35/7GCGc4j7mcMzGKSLGentr3Lg7C3O+wYfUTJgD77BOtw0g9iDYyZXorJuC5qr/r0lZMjNgBJg688u03O3GlESLhOPZYffuLen6yciUwZ07t/cI+P0G93OVUKXK/vG2+iA4sRweWAyuWl/+QgJAgbKak545phqIuqSBsY1EN//Hjo/UeME06TZPYoBNScR2izGVuOidbXh0mQzFu7zyBSSBpVHSia6EALFhQee/DhsyFXblVMRVbuesu4Ic/jE7cjSLvp1/6+sqVXoHypDuo0KKmQQjrfW/6XFPlWpOAURGuNMUZDo2WJ1xBPKuamdmzzd5HfgUnk9jqB+HB7aev2NbgARdWRNf9X1KhvbbwO4mKi7FjvVNG1Yvf/lWMI7bG56T6dVObvPzy8MeU+3d/Rb3iy2M+YYL7A1Teu2JRb3tENQcPk1IsTFi9qJHw/PPROozUg5g3PHBvP57HeCx9ur/i77q0FUsjdoAhyRJXGqG0kfZF4FrtzzSOBdVI6hUg43x+hM0p98utd3ZhOfbBcuyD1kkTyn+IWUhYtKhsTyc5d0w7FHWJFY81mSLGYHlPtDmEdMagVyLtoB4B4joMogWLYC+Zi58Jui2vDnmgStI7D2jO8Cyd6Nrd7V5/uXhE2JC5oIXGTBMoU7GVk04CTjnFzTNrA9W4qTfvZz3o0mAAwT39bRSXk40VE2rlWtMzkzVP2LSgewZvuAEYPbq+4+qEWb8Iof+JJ8rbavUVfjzgekKOzSLvdFZJW57cUslNGRXl8f1Qq6BoLfpQ2enYsl9sRT3ozsevwOnnu1S2tfhKmssip3zvurvLYq9MVN6gUaQU0yHXSEjrYqSYNxx3Qgt60IHxe1f+XZe2Is3fh5CwpD3VVq32Z+r7g2oktlNjxU3/tE6Mx/PYH8sq/2BJSBC2d6154NlnV9eMINVQ1G1yTB5r9dCFTuwzoVVrWAYlSAoBr0TaJrHj8cf128vXIYdZsJdFXR7oosx/tWhR+LxnUdCM4Vk60VUI7bLA4HdQU7FRaCzOYitpMm50aTCA4OHqNlJpyMaKiRycKvEkCYL0xzqPsbQWC4k6nU/QCY4s9E+e7P///HjAyR5+3t8jiQAAjJhJREFUQaB3hH3SkKe43oKiK1GHO7oHtopB6vArcJrS3MjIbS2PwYo85iKXuZ/jBEW+b/K9mzHDHdcBve0RJWl4nqPAr21WFh1y6EQX+nz8n8mzOkuEXSgk2SHo/KRRHQyCaiS2U2PFTlsbejC+Oke4QUgw9QOmaERhV9ayL03XPe11lOKGom6T09trf9WjE114fll/Xd4fAl0OKsCe5/+Xv1x7n0G02PkwRDPQZbVoXFpRDdSwhSx0oqtuHPQ7qEVBnMVW0mTctLe7hQEEYSfdahqEMCHqXv2vEIkd5DAWZYXRdu5evwRJ6aLzGLNdLMRW3vCg6XyCErTfj9IrIaxnJr0j7JP2EFUZU/7wsagjcbQHUT5vfgVOuX83jRGy/ZWHM5zH/JVXyotCL74Y4iRD0tbm3/awja3nOc70EX4IY5sNogWvvFI7HYfJszpLhF0obCaijkiLuoYKF3XDYbL90hY5ZAuTja+mm1KLCNeK3DSNv2PHJpdSMo1Q1G1yxo2z70XQhtUYX6f3h0CXgwqw41W4bBnw0EP648sIz4u4MN0P0+Ac1MvMdiE2tVhHksZ3EEzXQTVQJ04EurqiO49mCSlRjZt68376wXSP+/r0nv1B81yqIem1vO915+PV/woPzxIKwwV4gGjDXL0IktJF5zFmu1iIrUW/oOl8oibKvqBez0xih0LBfcaiPL5NdPnDHWA4b3fYzw06iQuKrqK3X4FT7s9NueVVO0tcj/Z2fY7CeokzXZHps+TtNuoDqJhSVyVFmP64gAHsvHPtdBwmz+osUW8Kl7jQzU3COm2YMC24Ry2KRu0AZWoDSc336BmeThYvrtRVBKVSOSq8ry945OZtt+lti1IJ6OykE5uAom6TY8tjLSqiTCHQ0QEcdpj++OXOw8F8RJj4ToMpz55pcA7qZSYbF6qAFUTQEkaEWmglK6tmJiNLNVCXLnUHjWYkyhD6OHJu+TUcZGE9SJ7LoIa6bn+TsQLIYkClx09SYa5B+mOdx5h4b0uYiHLRzyudT9SkbRwWZMmzNO309kb7jNnuX3X5w9Vc32E+19SHmopBBsVPnmk/TJyo3x5HpIksFMXpMedn/IwipZhX6qo0U15AcNCFTrT7EPNNntVRUsQYAPZsuawsFOqEz4kT7S4YqAvuwtaJ2mkjSlvIi6Tme7ajvlRMNpgfGyiJOiE2UB211N/9cMYZ5sUd0QbGjnUXU3SYxtOpUytr0cgMDprHqmYjpVMHEifyxCLr3oK2VmuEoVrAAKYiwhLVGi68sPy7n8E5qJeZfI/lNA1qfmWBaYASRoQqgprOM20raaZnfcWKSgPVTyGLKKuYJ0Wx6FaLrxVCH9aAiSPnVpiUD0EEU/UZqnUtdM+cl7FSptLjJ+vimi1h4tFHy78nnTfcJrLQn5Z7HbVnaVawFeYatRe47f5Vlz88pykMpn5umD4RsCcQ+skzLWM6X9P/xzGOyV7S4nrFYU/5GT+j+P5JpY+oFzFv6H1hANNhcJ1MAd1wFfKohbG0oRM+ly4Nt2Bg6idU+zEusUluH47ULa9ebf+z5LEgatFYRICqmApF2xJUTSlz/CwOyvZtUqnSwiAWN+R+wW8fcd997quf9lQqAbNnu7+rdq7XeCJsJp0tUqvYdLNAUZdUMHt2er2EauGnirxfRMeiy4gV9SqcDe9kvx5AcpqGlSv1E6xHHtH/rzgfdZVed542703UBM1HHFQMV0mbeCPo7gYWLKjeLhvGQLpzbYXJZ1XPfQhbWKuWwCMX4AHshbmaiKqPs+21klQaiqiRhf60VJGO2rM0K0Qd5ppWVM/Zq65yPXVrFXCMa3yw1WelcTzT9ZdxFBhNUsjOIuK6+PHQTZIZcNUbuVBumrHlUaybW/lx2tBhEmvV+XMS854wolwtZLtYHguiXmwREaAqJu92uf8uSTP4oIuu9fR9cn9t20YtFl0vVzXtoQ2EGCv3C35Tpn31q+6r3/YkFj/CRNLIz1+h4KZHbNQcxUHJqHxHouL66/UGpJ/cWknjp4q8DdJo9IdFTtMwdqxe0LcxKMV1b2wQNJTDJIb7nXTZCg+1zYwZrge2+BGDvCrs1EpwnwVkYb0eb8SoQnHlAjyAPS82mThCfG17rTRqtXXAXz7OONscjWYXeVFLFniTKhQUlyeQ2udcfjlQQktFAUeg+pmMa3yw1WfJY3k9YahRk5nq6RkiS1519dAG131TLpSbZmwJkzbbsEmsvfrqyvdi/I7TaSOMKFeLKNKs1CLMooPcf5dQGF50TGrR1baN2t0N7LNP2d4wid5hUB21xO86TOO8ySFK510LBI+kASqfv97e6L3FswRFXVKBSXgLmtQ6CaISDVVPlKyLWLJxIadpWLMGuPTSyn3PP9/OSn4aBV2TkWUK5TANViYx/B//cF9rrRCHGdTioK2t7IEte2J/8IF+/yT7gnqN9eGwyYDeiOozVOse1mPYqwWJbKML8fWL3wIktr1Wgl5PddKe9Ul8Iy0wBmXRIn2fHGckjSzwHndc8GPZCKFXC5jFxXAeclQ2wqC2oi2xIwobIwqPt6AsWwZ885vl9+J6+VlkUUVpUx5D4mJqSzldyF4MyPfPdkGvNKJ+P+GFeP/97mu9heRstmGTrSenz5OJ02nDjygXlCTmJ/UvOuTwCtzVr6SEP9tivsnZJm7qKXRmM5UXnQ0qoahLKjClXgiTmzJuokobsRL6L58mQTsIsnEhC1gTJgDXXlu572ab2VnJT2NKD5ORpctHvHChuQ2oxQYFxx9f/t96SJuHUBr7gnqN9eGwyYAGQlBDPW3e2DL1iCKmAiRXXeX+LiZnoh+wZegGTUOhTtqzlr4hKS/IOAj6Hc46S98XffrTds7HD/V4RAVNSWQSdNK2YBp0fEhznxiFx1tQOjrc3PaCINdLHhcnTDAXewuK3FbD9D3iWb7nHjvnYwtTWzKJulH3u/L981PQK+uLlKodIbwQly1zX8MWkhNisKkNe9XEsJVDPW1OG2khijQCgkLBwc5DkSRx5uSW7VvbqdJUZ5vRo+0e3y9Bx3k5pRhTeUVHCqUWkiSmSuxx5NYK4rWiE7quvz6aEJex0C9JyZ1Xsag/pzSurJvumVrwDLBXcdj0XAHJpfYwXQd1sOnrA2bO9J48q/8jTwbrXSFOWzEL9bqFbXO6Sqvy9iCYiiZETdD+L82GfT0LL6bKy2JBQ0zOxHtbQo4chuUnVFptwyI0ztR3p60AYhYiZsIS1OvYcfR9slwkJmrq8YgypSQy9X+mXL5JeRH6pVYBlLT1ifJ4FoXHW70EuV5iXNTZdvUgL5yEiRYQz3JS3nMm8dM0BppsP/W7C2HKlt0v25F+ChDF6bUfhRexbEfYtKGFGKxrw6aaGGIY6b5T/1A0eg71qFCfEzG/sZVGoCIS9ZbByCPcdMj27Re/GN3nqM5GcS7qmOaBXo4x4m/0ro0OirqkAn+V2P3jV6j18oTUoRO6PvjA7rkL1EFBN0np7tbn1Ku1sp4m1IJngL3VTa/nKu1ChSlnrhfyZDDsNazlXZAWhAETdHInJnZqWw5jLJuKJmSdOL201UJIQdAVIBFCgiwmiMmZLSFHvj5+QqVNeb10+3/ve/rJXpLY8JKPS6gOuiin9rGN4H3shWlMMfV/poUTNbomLkwCmDpuR+GJqxOQbEUDpdlzOChiXNTZdvUgL5yE8RQXz/JddwE//CGweLGV0/KNSfxU86EK/Iq96uJlvch2pJ8CRHF67atexF1d9R9TPv96bGj1Pt50k3lfk33vDBXZmjGt/Ee532Uez3DMm6fffuaZdo5fEYk6JcYVXgnZvo0qRZbO2SjJyLNGGjezDEVdUoWtVRS/Qq0fT0gVnWfejBnmc7e5gqXrvGbMKIcIqedEvNlkE/12k1ARd4iZKWeuLUweq1tv7b6mxUOoFkEnFGJipxZDUI3lko8K641K1F7a8jO3117l3x94oH6vLllIqHeBw4Tp+pgWQlThWoTG6caTAw5IX2i7yTvCJJLrhNFZs+zkcq2FaTLjt/8W4qBp/zTkuYwiT6lJLNAtnADABRfY/Xy//PKXQNmfrYw6bkfhiatbLLfVVqM4X+a2rUQ8yyedBJxyCnDyyfF+vulZufxy/fZrrql9TJuepWGJM82Z6kXc2Vn/MW0JYDfcUPl+9mzzvib7PjfUt5n6XVu2jK30DllBzqUqL/yb2l5Qoo788Fs/QhB0XPJb96G31xx5lgRpi7hpVijqkkgwCbW6Saauc6qFzjPPa5DVrWCFNa6FASAb6sUiMGZMsHPyQyN5K5k8ctet0283DRJxr0a2twMLFkRXvdamx2oSmO5rLXSVVuXtAl2F9Xrp6Ul3ZXNBmOq/QZCfOTn87YgjslEV2xRebFoIUas2i/e68WTChHTmApep5R2ha5uDg+HbbBBMY7rfEOG//917/9tv1/fJUYu99eYpFQsH3/xmZeEQQZy5/+phn32APAZRwEDF9jgmd/Jiea2IFtsh8WGIKrdtM6KmOgtjxwdNs2AqDitjIzpLRbZT/HzPeqJtgqLzIlajQGpFhZhyxAN2Fz+8UvKYamLEtWZoSquTFfs/KDpvbD9e6CpR5uL1wlQ/wlZUrt+6D+PGmSPP/KDOeZqhEGMzkPIpC8kqvStzWgNJF1Kv65xso1vBCmtc60Q4m526jLxynfUiCLYKbCWxGjl9ejSpPQD/Hqv1ElXO5yBpU8IiKqzbWuSYMKEyXUra8hYL6q/+640siqrisfpspNHDLKrwYsCd7F1/vf5vaTF+awlo//hH9bZCIXybteHhaxJO1AnJV77ivb8ppc9LL4U/Nz/Um6dULBzMmVM+/6yGLubhoNdQSDZKdN5zpoUc2yHxYYgqt21SyAsnUS12m+jqqhy7w9jxQcVPky0W9XeX7RQ/31NdtIwTXW7aWlEhXouL9Sx++BG7ZFvSb9Em2Ya2JSaa0uowvYM3ply8Uc+TdffLT75rv/j1vtU5GwUpyqbOeaLSMPwi2mMjObIlAUVdEgnjxjpaoVYn4Hl5QtrqoNVj1zKuvToWnQhns1OXSUu+HBuYUmME9eyJexIhiCq5u1+P1XrRCZdXXVW/UCfuXxz35bnn9NuDimxq+0973mIVW8UFReVcnXisGnjN6GFm8tBKuxeNeA6EMCpzxBHh+rJFi+ws4JgWcFVhc9my2qkFdN8jak9RmwsJ4vyzHLqYRCEav6QhJB6IdvEpCeSFE7ndxpFmorOznOosrEjuR/z04z0f9WKMHJ6e9sUAUzi4V20M03jywAP1fV+1MLMQu+T5ZJhUD6bIJj+YosFWry7/LnsU+7H/k8kYmw6WLQN+/vNqeyLqebJuQdHL0zjovCiI963qbBRkUUdNORaVhuEX0R6jykHcLFDUJZFgEmpNk5fp04GnnqrebquDVlewdMa13wFfJ8KFCR8JSpL5cpLAJOgHWY0kZXTC5cKF9oS6OLzNTEZ+UJFNbf9ZyVssqKe4oN9+TjbwGsXDLCi6MG8g/V404r6KCcJ995X/JnLaBfW6PfvsYGmSTJMRk5ecahtstRX7elIfUYTEJ40ajp9E1IDcVuXf40gz0dYWnUge1OstjgUkOS99mhcDTOHgXpF4phzxIv1T2O+rRnEIsUsObRdjWZBxsJ7Ff1M0mJ8CrzKy/TaIFiyCTzfjBqOjA9hoo3TlldURdF5kqvtgIqyzkZpyLA4NQ4dwQBD3MW11LLIGRV0SGUFD1nW5VeUOup68l35WsHQDfr0roWr+r3pCdpLyUE0Kk6AfZDVSvf7NjBjEbYeCxhEuI/I2XnhheVsaRTZT0TuBrciDelKZ+J3YyAZeo3iYBSXqIim2MRnIsgfQ6tXAFVfonyGvvjKosf0//6Pf7rf/NlUlD4tpLEhLKo0gRBEGTLKBEH4mTHDzGnd1JXs+MmlJMyH6waALV7IAk2QqA5Vi0RXwg+TXjRtdbtr584OJTjYdA3Sf6zcloAlhQ4d5vnXFWMWxdBFjpnGpMudqDrMwX79jjeMkNe5de629Y9WbVzYOgi78mOo+pA1b87446js0ExR1SaQEGdBrhXZGnfdSN+A7dabL7+6uzP8VNGTHj+dAo07qbKy4qvnXiH0vl1phMyah069RmcfAcN7GtItspqJ3AluRByZD0Y8BWe/EJi4oXAXHZCDLaRgmTACuvlr/HHiNsUHz3h9/fLD9VUxVycOijsWCtKfS0FFPGDDJNmpIfmenv/9LYoE7qXFZ2CJjx9Yu1iWT1jQoXV2ugB8kv24SqLlp/eaqFUR9/f2mBKxFGNtZFNJWi7aNGaOPGDMVUKvyTEWL5+emrRDbwQeXf6832kC3kJC26J5GdSqylSYhjposzQRFXeKLOLzxdALw7Nnx5b3UDfi5On11Z8yozP8V1HPBj+dAWiZ1wisi6LMS5aAn519TV8iJHWqFzZiETr9GZR6O9byNUYWtyvm2f/CD6r+nITTM1sQmavwIV7VCkdW+xfReiMZRea/U4y0TRNw2Gcj33uu+LlsG3H67+f+9xlg1T6EXYcY6Fa9c+2GQx+I0evkHwavAYaPQCJNhdUHTRsoENSTfr3AaxwK36kVss/BOEK9b2SaZNcveOSRFZ2elkN+MqZBsIIe2i3ElqloZKiY72NRGTAXUqjxTh6LYTKStEJuaoqXeaAN14SBtnq1pK8KsjklhbV91vhdWI1JrsqTN0zprUNQlvkgqefWVV9rJe2mq5C5v1w34Xn66PT21w6F0+b+CUGvlOi2TuoULy4JC0GfFNOjJgn5Y5Osve3aS+NAVFgSiMSpriXiCiROjCVuV820feWT138MaLA6AHpQ7wHo8V5Oc2ATBj3BVS0RQ+xbTeyEaR+W9Uo+3TBCvTJOBfPjh7mtHB/ClL1VPDMV7rzFWzVMo0LUx2ftIJUgKkqApnLwwjQVp8fIPQj02RVZI22Q4DKI/ilLs9EscC9yqF3G9hXfkvmLs2HD9cxoWUuulra06t26Qdt8ICyQ2kAW/OGpAyJjsYFMbMUWlVeZcdTAf3qsWaYtuU1O0BIk2yCKmtBtJ0X2na+yptm+9Y1K90X6iPcbdLhsNirrEF2lNXu232q6ax0dnXAcd8CdMSD4cKg2Tur4+YObM8InOTaKNLOhnEV3agaQKmySJrrCgvN0mtUQ8udJr1IakTij92tfCHauEPCbgueH39XjnJzmxCYIf4aqWiKAa1KonqpobLyrvlXq8ZcJ4ZXoZyMIDNietWIqQUNV7Q/e/KjrxzWuCEDQFSRoXHEj0pGXBuh5Ef2Rb7AxDHAvcYb2ITaj53zs7g+fJ1S2kpi3PqC1M/XYjLJDYJu5UG7bsYNl+K2AAUxEgv0gK0KV/y+LCql/S5lQ0Y5o7QVdt33rHpHqj/UR7TGsKnKzgnYyFkJSjhnKY0OXVmjnT7ciuuab6b346lmXLgBapBfX3pzPPVdTUW9CmHg/sNKN66QDu83Hlla4XcqNQKLjeMOI1CUToz733uvlDn37aFT7z+cpnU6702trqttk4ueGGcP+XRwnP4ABMwHNYtswV4Wz0NWk2oORiNyZhr6PDvY8C9X6qBrXa14j/F/9X7+RCXcARx5OPK+fU++tfax9TngT5pZaBfPjhrqgrzkW8qt4bfliyxP0/0eYA7wlCI3jOkeiJ0i4oFt2CgVEjCzle/RTRo6tsv3IlsPXW3v8n2yTz51cv4KYtz6ig3jR3ar8t+mTRRwOVUT89PdU5XolddGHutkTM+iq+pB8v2y8NxJGW0jbqmBTW9lXne8LWNI2tNp97YiZRT92nnnoKxxxzDLbZZhvkcjncf//9nvsvWbIEkyZNwpZbbomNN94Yu+66K2688caKfRYvXoxcLlf1849//CPCb0KSwm+1XV3Ix5w59XUyqldCFF6lfvIpBvVcsI3tgjZZw+R9K3vpiOcyDg/RuElD2IxI+XHCCe7rVlu5r7byPtnC5H1Wq5hLDkAH3M4gDd759eInBD9ssZskURdwdB6raShy1durX4ibPz94vsagKQ2yMFbIqZUEYb34kupzGtUb0QamonlRUyy69kItj/hmQb0e8nZAX9neT2EdYYv09uqLdaUtz6ignjR3OttCt5g5iNbhqJ+0FlwLQ1oj4myHuTcTabT9ZNv10592X5Oegwuefz6+zzLN90xjK5/7eEjUU3fdunXYa6+9MHXqVHz1q1+tuf+IESNw7rnnYs8998SIESOwZMkSdHZ2YsSIEZg5c+bwfpttthleeumliv/daKONrJ9/M5GkF54XsheTl+edup/Aj8fEIlRahUFyAnrhJ89VLQFg0SLg7LPtnE9YRDhvZ2fyHptBsJVnbOJE4LLLqrfLK6KCpDxEoyQNYTNq6g+TKFVv3qd60Xmf9fXZa8O2+qaokcNqTWSx2I3sRb10qdsHqJEgwmvKpsd1UMaNq/ZiB4AjjgB23DHa/imtqZxkdJOSsF58SdUjCOKNWCwCb74Z7fmkiRkzgGOOce+z7GEeNV1dwNy55fe2PjctokJQurv1kXLiGb311nLfXyi416+9vXb/JGwRk5df2vKMivun9o19fW5/7Ae/nu0F9OM5TBgKNWxtmAhDdUFVZ5MngYjoFNc5idQrWcXL9uvpca/rqFGV26NeRJVtV+HlPnasW0jWBupiRK1CZrLo/fnPl3+Pei5gmu+ZxlY+9/GQqM/EkUceiWuuuQZf+cpXfO3f0dGBk046Cbvvvjt22GEHnHrqqTj88MPxq1/9qmK/XC6HMWPGVPyQ+khz7sUocQCcjcreulZOQL95fv3kuaqVT/Hss9MxSZYL2oR5VpKYlNSbZ0zOz8oBK37CiPL15n2KgnrTl8gEzVfqRZRt0vR9TQZ5FhaJgEovalOuOD+5gqPuD9vbKychcRbMy0KuVF3kT1gvviijBXQexYIg3ohdXcl4riZFUgVUOzsrc+vaaAdykVogfZ5tXsyYob8W4hmV84f29ibvSRsVK1fqt0exCJ0DMB49GN8RXYRhEqgRcWmxyTuU65xkCLqfyM+0YbL9TEUnbS2imsZVne1aKlU6ZtTjMKQuxnoV8fVyCLE5F/CD+M6rV5fF7jQsmDUbGQiEM9PT04NnnnkGBx98cMX2Dz/8ENtvvz3a29tx9NFHo6dGC/v444/x/vvvV/yQStKce9EWusmWgxxKqKy0UEtgUPP8mlbB/VTFrCUApEHQFQhBIOizsmiROaQuSnGjXnFBzs/KASt+vER50ebUIilp7Mdspi+xJX6qbbKWUKAuZNVCLtIlYzLIdcVuGpk4wg7lsOQ4F21tpQ8pFvXPmo2wW3UiDtjr420KNXKxVpUg3oidne54CKSnSncj0tZmTtkVJl2GWqQWcD3bsuK5q14PebtK2AUncS2i8OCr5cDR5/MzTfZvGheh04qfBdU0oC7ExZkqIg2pn4Kis40feqi8GHT00ZV/szUnNs0vTLa6/Ln1OAzJi7HyHFW3oGVKowXUnguoqW+8HND8IL5zI6V0ySKZFHXb29ux4YYbYt9998U555yDM888c/hvu+66KxYvXowHHngAd999NzbaaCNMmjQJvcKNUMP111+PkSNHDv986lOfiuNrkJQhCwoidCEHB3lU9o61BAa/eX6FYKsWKgiyymcaYFTDwVaqgSgweRubxF5b36URcpM2C31w1Vh5YiYbPKIdiLYpxNssRBioXpP1YEv8VNtkLaFANmL9GLTnn6/frusHCgXgkktqH7ORiDvlRBoXO2phyt0WVbEjW6KQTaGmlo3hl6Q8V+PEbwRVUpjSZXjlItRN6gcHk08zlBZkGzKKNCheDhwLMQ1jd/WX4VAI1ur4neYiUSQc6kKcKfd+FNSK/EwbuZzeJrzttvJCUFQ+eCanq1tv1e+fzwMPPFD5v2GQFyPkOapukUKk0dJRay7Q3e16OotnsV4xVq5XZOvZSroGShbJpKj7q1/9Cr/5zW9w++23Y968ebj77ruH/zZx4kSceuqp2GuvvfC5z30O//3f/41ddtkFt9xyi/F4l156KdauXTv882YzJRdrYlRPH3nwEKELOQC3oTK+weNRAlDtXVtLOFRFkCCrfLfdpu+8VcOh3lQDQXjsseptjz5qXo02rTSaxN44vwtJnhJyGAt3lipPzGSD58UX3VdVxM2KWKUr5mLCK+S6Vt/kF1PVcRPyJMGPQXvOOf7P5ZxzgGuv9b9/o5CVlBNJMWOG3rvUZoi27C0dVhSKMlrAr41B/EdQJYUpXYZXGLluUl8oNJeHp85jX7yXbcgootpMDhx9q4CZWIBSqTIkpZZIkYVFaFIf6rMSZ6oIP6mf0sSzz5aFUpmHHy47GfgpnBgG0yKnnBJGdiZZsMCtSSD/b9R4OYTUmgvIqW9siLFq4fiwyLmAk6pHkGUyKeruuOOO2GOPPTBjxgxcdNFFmDNnjnHffD6P/fbbz9NTd8MNN8Rmm21W8UMaH688cvKEeioq42DlTt0G6opgkFW+qVPLuWxlVMOhnpVDvwjR9rjjqv929NHm1Wg/4Swy997rvt53X6DTIxmlhMJwChTTM5GGYm1x4RVybatv0gkFf/+72ftfniT4MWj93Cchhv3bvzVnaHizpZwIism71FbYrZqvTvQ9Qb1HvIQaMWZmJaomy/iNoEqKMMW7RJFaua+YP7+5PDx1drwQ8KNOT2Zy4Fi5sjptG1Dbgzot9gv7oPCo105Nr6A+K2lOFZE048cDuhr3spOB2tfFaTcJZ5Ik833LDiFPPVX+vdZcQJcKKA1Cv1yILk3pJbNCJkVdGcdx8PHHH3v+fcWKFWhjr0kU5DxyOhGjXvzmrFEnpkFX+XQGvGo4RLFyqH6vG2807/vQQ+bVaJO3sUnsPeEE9/WrX/V/rjZQc1xGXV200QifEsSQgLVJiUOUUNvkEUcARx0V3vtfFa/8FOkQngbNEBquks+74gxJDlO+uqCh7V5CjVjoDJq+hAQnaASVQCe8pwm5SC0QLOqjEdDlgxYCvq1c9UEZO7Y6bRuQHQ9q9kHhUa/dxInuwgMJh84Tt1Awe+jG6e0uxva0LKLts4/5bw6A5eiomrfHlc/ZLxRy6yNRUffDDz/EihUrsGJohvfaa69hxYoVeOONNwC4aRFOP/304f1/8IMf4MEHH0Rvby96e3uxaNEifPe738Wpp546vM/cuXPxyCOP4NVXX8WKFSswffp0rFixAmeddVas342kH1ksUEUMG2HMtnPWpA05Mfo++5RzA+ty6xx2mHk12uRtbBJ7owynM6GrMhp3dVETaroLKRtNqgifEsSpvUsTESbkOqh3odom58+vbtNBvP9V8UpXpGPZsspQO9sREVnj0EOTPoPmwCTWmfLV2RRm0lKhnZjRCe9pIy2iQhLoFv10dn2cHnzt2wILMBOFQqXtkhZP3FpkJedqGlEjL5cudRcebBGmoGKURJ33VPRt8lh8ySXAW2/pv3NW2ljclJDHPliOCQe1AijP2/0uODgAelD2DotqkTOphbhGwV8W94j4zW9+gy984QvD7y+++GIAwJQpU7B48WIUi8VhgRcASqUSLr30Urz22mtoaWnBzjvvjBtuuAGdUo/53nvvYebMmVi9ejVGjhyJjo4OPPXUU9h///3j+2Ikc0yd6k6id9rJfT9lSv2FambMAI4/vnJbf3/jCLvLlgEtUg8yahRw002uQd3qjhvo7/d3LN2kRL0nSWIqSJIG1HQXUt3IVCGeF9EGlizxN1HOYxA5AINoQaEQ33WXjRbhWZq2VW2/6IpA1kJuk21twHbbub+LNh3E+3/GDOCaa6qfAZm48pBlgVKJxY7iwtQHiXx1wrwUfY/NSaNY6JTH0kayERoBue9yHN6bLCHbkC+8AOyyS3yfPR134pAXbsdOu7TG96GWyMpYnMZCSuoCw/jx7nzI71yoFqaCilEVCK2FjbynxSKgK2VULJbHSHn+de217s+VVwKzZ9f/+c1AHiU8h/2GjI1yn+Q3iH0QrZiA54bfR7XIeeutZe0lzvleo5CoqDt58mQ4jtkLa/HixRXvzzvvPJxXwz3uxhtvxI1eceCEGLDt7SALIQJbA7tfoszZJ4u3QDTfLS0eKMJrSzYskh5whNB4551ukZW77nLPaWAAOOOM5M7LhHheaomCqnCah4OXMQ474fVYJ2ay0SI8S5MynMPSB1eB0hWBjBNhOKrPQFDUZ6OnxxXD2toaKy9dsxU7ShIvsW7q1LKoG2XfE2YhNCzq+F8sVtsppIzcd5HsITx033qrvC2uVBrt9BqMFFlQXLQofOoRUXRLJk3xYbJ4PW0acN117u/PPA1gyDadPh24/vrYT81KxGRXFzB3bvX2WbPKtVOEE4i8ANpINl/U5ACMRw/QASDEOlMB/XgOE9D/9DJMnNTq2ynHhGhz6sKM7FAX90JcI0BHZ0IygprT1Q9Bc/aplYRNeYDlv8XtvZhIOJ2myqiNFB31IIRGESZ/0knAKacAJ5+c3DnZQOeJ0A535I8ztEourCNCEYMUQwjTXm2zEtWJx7K88q0+G0FDyLJC0GJHwjBOo+dS2vFbCVyEBaY9J10t1PHfVMCUkDhQa08AdkVX5q1OL2HHK91i9axZenG2FosW6fOzDqIFCzEt3AlaQI6oksXr1avLv5sKKoa5DkHwc9+C3NvOzsrUW4KHHy5/F11OdIq60aE6hAlRuG1r9309i5xym/Py9GYqjeBQ1CWRoQqEQHqKTfgtYpYWdDldxXYvRM4+WZjyyoWpVhL2ygOclKAiEuHHmRAfqPYCSDLnZ1ihMU0Io099hqdJdrTIS5YEshEpjEfZoAbMgk7Y9mqbsVhZtS3OxRDbyM+GnLvbZs66NBDU40gYxjZCIbNC3GO2WFBQc8mromhabR6Bmi8zrry+acsFSWpjenZtCrBdXZW1JwC7omtQG5j4Qy58G3aBK+x4ZVqsDpOy6OyzTd6mOXSiC30JLZSee275d/n8TG1DFoHHjq3fqUC9l1dfXf7dz30Lcm/b2oCNNqreHvaekvox5ZK3Ea0otznxSocEOySafoE0NrqQCrWD6OsDdtwxvnMSqOcmG5RpZOVKcyVunUeXuK660EGvFbbOznKVe6/8l0mGwIjVu6ys4qkToJYWN/9wPcj3MKur1cLoGzu20gta/j6yJ0KSBDVwgrbXqBAeznKqkFtuqT9feFLIz4aa/qUZEYZwGgxktZ/zyKxlhbjHbBH2qsslf8015fdqH5E2r0B1/I9r/EhbLshmplisLHzz6KP6/UzPrk2v185O4Nhj3d+D5tv3Q1AbOCuoop0u/UCUERyq8wcAXHaZ9/84AJajA6secd+rNpLf8zQtVodJWeSVPmAQLXjllYHgB7WA6bxMbUMVgeu18dTFyhtu0J+bKQ1d0LQMOm9ppqGq9piNK+WYyCV/112uLXfmGe52G3aXaW5E6oeeuiQyOjvdCRBQ9rhTV8jHjk3GqO/sLHt5qVXd40LtrL2KMY0dG6wSd9jrKlcSlsNcVBo5BMa2N+WECeWB0OTdlQZ0+UpthBernjzi+spClOzVKtpBmtB5+wBmL+mg7TVqZK/2JD3Mw6LLDe7n2TT1sY3Cyuq5LYBkDGR5oukV4WED4aUd55gti0Ni7NONf2r1c9XmaVaPFFMEhqkPNXlipz2qKgvceWdl4Ru1oK9AfZYFNr1e29oq2xPQGKJrlOgigXTpB/xEcOjGUNPYKo+/ixe74fHyHKqW138JeeyD5Tj2K/rV2Icf9v5/gbxYLQiaskigs9MEBQxg553Lq5Nx9t3qeYnvamobtgs5y/fyBz8w72crYlLcOxv3NMuoNqrqUBJXhKywa6ZMqazRcuxx9R87TXOjRoOiLokMWSAUHnejR1fuUyq5AmvcYcmqIWkSL6NEDef0Ksaky+kqtutI6ro2ArYXGuQwcb/GbxJEla9U9SrQCVGyQSraQZpQBR0TwiArFMztNUiblEMcBWFE9nq92pPuR3Se0hMn1n42TX1sVOhCUqNE590CJGMgyzmooxZcvRYck0a1edRJeDOlyJAxRWCYFoVNCwNRLxg0A9OmuYVvfo4jkM9Xu9QL8Up9lgXyOEgBNn56e/UinrqYp0Zw6NA5GEycqN8uj79nnAHce2/lXKqWg0ceJTyP8fj5A/3I5ar/fv75+v8zeRzLgmLYImm33WZKSeWgC5147PHyicbZd996a/n3QsEVOL0wicBhke/lkUeaxW/bEZM27mmWUW1U2aFEnkPGlXJMfO6yIXvuaQupa+Q2J151z5Hf+j6kDEVdEis6QWdw0Oxx1MgIzxV1EmzyXAk6wDVqPiIvj2Yb2BbEVc+utHo3285X6uWdryIMxrvucj1ABGnLR6miCuHCIOvu1rdXU1EOE7KXtyAuL285vDOpiAqBzlN66dLaz6apj40K1Ss/avFJGMJ+DOSo8RPh0YyoQoQQWEzjS9K5Z+XcjLr3cWBqr0l4aNci6fsVhrY2t/DNRvgYpVK1utaIdmMUJGWfjBunF/HCLObJDgbCZlu61J/jwYIFwRb9RbGlI48AvvOd8ncQryavb9njuITy82pjnJs6tVxsWKaAARyOR3D2uWV1tFbf7QddPReR/kR+nvbcs/x7b2/t+V9QETgIqlORl3ezfA5hsG27iKJ6WYiQUSMBe3qq63iIRZS45pCqPTfewiKe3Oa8PL3jjP5qFJhTl8SKKW9OEKGjUZC9/1pb3Xxi8vZ6STIfUbHo/gwMpaOymWPRy6PZFmkQxOOuaF9vvlJ18v/b35aPJSOHWQ0Olg3Qzs7q1AAHHZTuQUrk2QRcg8xxXMPDNCHSFeXo6zN73A/n7+wHMGTQxOHlrYZ3ioWOww8Htt46+s9X0eVFHD++9jNq6mOjQs23KnJEypM1eVHKVl//wgvALruUXxuBpPLt28YrRYau3ZsWbUQ/EzVybkYAOO+8eD5XxtRe42rHQTDlCu7uBq64It5zCco49CKfd6qE3U02cV8bNW2NLZLKly1ENnlRM2yous6DPperFpOA6vFN/f8g/Nu/AV/5CrDTTsCLL7rjlmor6lJ1AYVhoc4WuuuWA9CLccZFj7BjU3d3ZQ52U4FA+Xc/93XKlHIe3d5e939senNOnao/nmnRLw22yKK7cjgb7kQuCxEy6vOvy1t95ZXAnDnBj70thhpTSgwr8Ux7ifgif7Tod4pF4Oijq9OwbbddOh2lkoCeuiRW1AZcKLgrvUGNkbgFr6wR9rraQq1obGuVTV7JNHk02yANCfqzVtE+qBggVmhlLwTVEyvtVapVIVysZpsMjKAFAnRej17GS9D+0JQqQFforVkjKoKg88oHKidosjd3UEweQlkrHumHpL3DbRE0RYZp0cYkHtqm3tyMqvdi2qMt6kWOcHlGyj2bphRLqnegEGnbsQoLbhus8qr7xS/c17jS1mSNn/3MfRX9k636A0FQPTd1npzivuo8K73OVxchBNiPOqsl7OjtjRxeQTzGuVj0UKlnbjBjRnU6tocecv9mK1d11PM+eYww2flpsEXOPreAEtxGELRwWxrQpe4LI9RPw0K8giFDJEOGlRr9JdpG0DRszUSanaBIE9DbG27RyCR4mSa9jSr+mjxgxXUVHi06T7EokSsaC4TXWj3IK5lRrcwlLYgLvPKhxVFdPihBxQBh9MnXWfXEarR8ffl89XWyuXgQdAFALr4gIwq9qVWOmzGiwgayx0Etb24TixZVF8dpJHRpCjo7gUMOSeZ8bKFbyB4cNI8v8rgmPy+mque20bV7U1++LfqQQwnbog+r4H4h9RyT8mb0S70idNBcwUmgegdOmlSe/E2f6uCQQ12PSYGIQBEeUl62m5r3MExldjWyK2iKLa+iw1HcB1EAWjgWiPHzssvqO67q9bhoETBzZvjjCW/JWbMqw/MBYMJEYPaVwOzZ1f/n577Hgd7ecLAz4gmjewSHV9jZom+sZ27Q1uZ6Fsro7N0obV+bC231FmSLEp2XdZYIEzGpklvVhwWYiQKkCaUIu0t6khuQGTPccUy2i5YurW5PzQxFXVIXOiMqSPsK26eogpeIKEhTNXC/FIvA229XG7R+0K2mA9XXVd4vDq8LnVGfppBJL1RB3A9xF5Iy3fckCSIGyOgmhaNG2T+/NHDbbe4ES74uNu2qoN4IcjilPIFTwzvlhY6stOM0IXscCIKKDbrUHVEtVsr5lOPClG/fa+xWxRz1dz8Ui9WhxiKkL4p+KEhYalyTfJlbby2H8QLALbdUvhcU7lqIV4Ymi3/G9piJBbgT04fF56efdm2NuMTosGRNhA7DjBnA8ceX3/f3AwdJYp06BgVJW6PmPQSChwh3dQFz55bfB02xpRbSlKMhaqXA8OPwoIrL4ns+9FBlPz5qVKV4HhQ12mnWLOCoo8LbCGJB6cILy6LuM08DmOQWPmozTNbSkuZEl6rLGRxEO6L30nEAzMQCOE62hUEdXvOHYjGYSGay89MQoaFLLdNs5Fb2lgVdgQi7syzqmhbnbBE2DVszwfQLpC5UIyopr34x8UtTNXC/dHdXpirwK7oGKRoih3GkqchIGgk6zgUtflUvaSwWA1R7gtxyi7//U4tL7bOPv9D0nh79olKaMRXlSAo1nFJGDufs7Y023UkWiDvaQSVo6o4gyGk4fvELvUdw1AtXpnz7XmO3Kuaov/uhu7t6khtlSF/SYanFor6qtOg71bzm6nvA9dDd4Nyy908BJXShE9uib3jCJbxW0x5tIcKcTYU9o0K9D1H2KaK4jqmvrwdxveoprtrZWRliHDTFllohXvy/n2gIXWocFTX1yZe/7L4uXWq3AG5UKY903uRpLdirQ6TqeuEFII94QtQc5IZD9wVZDOHXsWyZ2QPcj+0tp2sx2flpWBy77dZBFOAqjGELt2UdZ+w4DKpSX0Rhd2raRbk/jTs9TbNCUZfUhWpEJTXxFxM/kyCX9ETKCzXHkl+xLkiVcS/xhtSHqfhVUNRJnloZWGC7urw413q9/vyIATp0eaP8TMZkMTjpRaUgZCziCYD+nHXCUCPjZ/IfJbq8iLYWK+U0HEcdFa2AbCJMvn1ZzAmbi3DGjHI4tVz93WaRmTShithiIe2SS9z3P/5x5f6i4KXc3sehFznlIWnBIMYie0m3kxKhu7rij6CKAjXvYRix0CQ6+z2O7MEV9P9lUdpke8t5k+X9bOdNVvv4fB74+9+TE0PUz00idzAQfc543ffJwUEelS6ojSIMdnS4nvTquAf4e6aFyA5U2/lxL455MXWKg96hXLLyOTcTzrbtmIkFGBALFBHmFxSLc7oFg4kTw9WRIMGgqEvqQhhRo0e77wdjWsksFCpfsyiUCKL0osgCWReEbAkg6mRbHDfKPJoLF5YXbJMqyBa2+IbO+7zZvUkrJh2ryvkuo0ANu00y914c+Jn8R8ltt1VPKm1NckVbevhh4Kab3OrnKiYBOaoUEH68w1UxR/wehLa2amEvS15s6mKgvF2HLGLLHlt33+2+ygIWAHz96+6r3N57MQ6lXOX0YQAFrESMISsZp7Oz8j6kLfKmWVBFaR1BC6KG5YgjKt+XSu4iW1KFgFQRRiwANVphIp3YlAPcXKSFsmew3+izLKAb98T2WnjZHWmL0BCpOuJ07NJFYCTppXonpmMshkIEIwy7E1rGnDnVc7OlS9NVPLRRoahL6kYWhsbu2oKFmGbc19YEUA7HIeGRQ9iTWoXPuiBky4NOnWyLwfCii/T7q/kkg96/vj53Qu9VkC3N6LzP651kZTGlg4zoD6dhIVp2HYuWoXyXhbvsuzCrYbdZECXqSSHgZ/IfJVGm7hDf6dlngQsu0BdhNC2cRrUYlNWFWlPRpqhQPT4FctSCPMksFoExY9zfhceWEPR/+EP3Z/Hi8v7f/rb7Ko9Jq9COt68te/8MoIBOdA0XSyO1kUUVtU+R7xfDVrOLet9q9QU331z+/YEH6qt4Xy/FInDAAeX3d93l9g0PP1x9PsWi+5w+9ljl9kcfzYbDhiw2yV6r03Enel8YGH7vN/osTopwO3P2GelBF9UVdxShaoeIsblYiH6MVh3VgGwtlGcZirqkLqqFoRw60WWcPNuaAEYdjhMEYdAEFYOSFlOB8PlMbWFTEEpKjNN50HkJEl659HSTPNNAqOaTDHr/Vq7MnpAbNbqUDlkKGdp2Wzff5QLMHA6PLqCEDc7tHPbYtSUyiWdVCETCuzOtYri8+ChQ+2459DyNEQRqv2K7z5NzWz7wQOXfTB6hog+JymM3a4j8m2q9gTDoFplUZI/PCkFCcsaRJ5lqGKSYgB1+OHDKKe7PySeX/77XXu6rKjxucoHr/TOAPHbA67gTjR8moWtf99xT/t1W3+p1v0h26L6zcoqt6wvkNv7Xv5a3H3GEvVy9YejqAr70pfL7KVOAU091F/7U8xG5NOX9AeDoo/UOG1HMd3QOKn7R5RwWtEtzzDTM2VS64SrSpj4jbV6jaUN+bvzur/tdRhfVFXcUoWqHCDiWNDYUdUld6IShQbRg5SuV8Ztiwmcj92jaMCUHr9V5qmJcEiFNYfOZ2jJqbOaH1VU+joOgHnSmXHpBz1ctDhLk/gGuwKXzMjahqzQvb28EdCkdshYyNA7V1W5zpXK+S9u5G02FHoM+z6bFDhvPl7r4KPje9yrPXQ49z0IEge1CpbKHhRoKrCsoJhN1zt20I57T/fd3X4Vn20MPhT+mbpFJxU8YrTy5tBkGuQrtcJCvy0NX177TIpio6Po0ebJ+oKW+Nar7lRTFIrAcHZmOggnDjGnlAceUYsNPG08CNT2Il9ewWAx8+OGyl//ixe57nZg1IYJClKqDShRjtx8Hinoj6IIyA+5JmPoMndcohb0y8nPjBz9FWYM450SFsGXVfifrYwnxpiXpEyDZwLQiJYQhebJcwADG7lwZv2mq4PrKK8COO1o6yYTo7ASOPbb8vr/fNShqdZ7LlgEtUgtMYjW+owNoba3c1t9f+//EIHjllW74ZhoQ19Pv9bdJkFDhzk43T9qECe45O473+aptb/lyYLvtKvNJyvfQz/0T57xggXs+g4Out/HgoHl/XaV5IBvFyfwiX0txHbMWMtQLt9qtLOw6+QJWlsZWPG+2mDEDOP748vuw7e/qq4E77ii/lycgV1xR3zmavNIPPLAcUrlmDbB6NXDGGa4Q19ZW/i5BKRbdn4GhyE1ZxLD5PKl93vTpwPXX2zu+zIwZwDHHuP2WOuYD9oq2ZRXhGXPcce6reK4uuyz8MWUbIeyzCFTmN4w7dYhuMVD+XVw3mYkTXdti9uxozy0oM2YA11zj/v70024ftXCh2+6WLQNaHAAh7pE6xjtOuZ9IItWLLEi1tACjRtV3vO4787gGywHNwvvVV9d37DSj5uLVYauN26atrXzfdfMEdV/xXfv73TH05JPd/9ltt7KN+MzTACYBy5YCbdvZPV91PhXFtVQ/Y9Socn8gUD0kxVypnnHAizasBmDu45cscc/Fz1yjGVFtKD/7i+sorm0akeeHuu2kMaGoS3xh6riqhSEHXYOdaG+/vWI/NexV0AgTQdmgAfyLQbUMpbQiGzZRDhA9PfrcjgLTyrc4p7QOXqqxLG/Xoba9sBNe3cLM9OnAIYcAO+3k5mPdZRfz/4sJrSoMRikkkeCsglvt9o5CJ3KDgxhAAYO3dmHVrPZIile0tbmLDIKwYrgs6IadgJjymW62mV6I3H//ykVFMSE97DC3bzYtkJj6nmLRvRZdXcDcueXtNgVqGTGGxLEAIY9zt94KzJrl/i4Wg9KQCilJpk0DrrvO38TfL7pFpqyhCwOVfxfXDSgLpUuXVvYpguXL3eshFkuAYKGz9aIL0/7Xf3XHwI4OoBVAmNukeopNnBidCOQH24LUjGklHH/dfkONozWRhfe00ght3Atdmxk/HoDH+BqGsM4Ntj8jinGgHmSvUYGXnVAsAm+/XdnHLl+evvmUunAubw+CakP52V/3OyFpgKIu8YVYkRJGt4wsDPW+MIAdd7kTQKWoKyZ8qjdgWouhxDlRyBpxidG1QmJUDx+xvwj3Ur1MdB6vtgwV1ZCoJUgHQW17pgmv6VwEYqJm8sKpJcpw5Tc73InpuP2FQ5DbZSx2wOt4eUo7MKu213dSqN4SficgKqo3uRirHnqocvFREHb8MYUvCs8zP9EbxaLrGZxFpkwpi7q1FoPSQtQT03ojJ9KKPF6EGdNkkUPn4WQSfXQT7QMOqD4HdVzLEiL92AMPuOOv6CeWLnWvS5QikMixjr4+oL0yXM62INXWBmyHHqADFWJe0uMOiZZiEXjzzfL7FSuA/Ya22/DUVb3/W1qqnWzCMtw+VvUB8B9OmvVxoLu7uq17LTKp/W5c/bC6cC4IGjmoE7HFdiDaeWMcaM8/BTY/iQbm1CW+0OVskxGT4/YawpCozp52vEIq0pgsv9HwU0BNzn+5bJmbMxMoD+pq3iudx+tVV9k5X1XksZnTS217tQpnmAQn8f9hC6uR+Anav1TkpF1Tne9SzR82MYLcdmGwlVtbzTMt50WePj1Y7ms/nwNUFqcS29Xqv7q8arVy1GaFrHjoBik4pRbQA7IpGtpAHi/CjGmyyCHagV8PJ7XmguO4Hvc//3m5bU+dWnmeWUEu3Hjcce7zFVel8NyihXgFQx8+dixyiyqVELk/ZtVyEha1foTIOW3L5pTbvFdtklopYFSmodw+WnYdi2looBxjErrrMnGimwtZtp+88nqr/W5c/bBc1FWeJwYtSKbWhBCIeaRu3pilOZNq89vKZ60Ti6mFJA9FXRIrWZkAiuqVzzxd/bc0FDhrdPyIPGq+sjlzqou+yYXDxD2VRRhb+WBlg8ePIO0HUyh5rYFTPRdxHvPnV55f0MJqJH6Ciq6yAaor2qM+m0uXuoKCKmBl1UBTBSRVTLUVGWKqlh1E/Jgxo1yI5mnNOGMDUaBUvDYy4nl97LHK7d/7nvv60EP++zrdRE/2CM1q+wiDrnhkXOhqMZRKwMYbl9u2SENkKkSVRtTCjaWSK1LEUji4rw+Fs2eWc66XSijM6ix7JkbBKskruBlY1Vf52qSoxdaWWS4+K2z6WoXcaqWAkcmt6sMClNtHrlRCFyJuHxI6oTXM4r6feYPO4eXoo4Fnn620n7wWdtR5lXgfNerCubx9mFV9yKGEbdFntIFmzPAWh9Xvl7XClaJtiLa3bKm+jQRFJ3ZTC0kepl8gRIOXZ3IaCpyRakxhVyLsSb2nQRPk1/psQdAcTSZMoeS1iouYinPstVfl+QnSFBZmKjCVJKp3h620Gl74TbWhIhfF0BXtUZ/N8eOBa6+tDmNLOqdjMxA09YIuXYNIn2EqZLTrrpWvjYzoL0WhMsG//Zv7unSpmyvZD3Lxv/nzKxf/0lgkNEqC5vwMugjp5T2nq8VQKFRuN6UFSjO9vdX5vQcHXQ85IOJxprcXOeXDc4ODGIuVFVEdtpiGhWjZdSiMauxYNw/O6QHd6TKE/H1dL88FuBMp+r6ywK5UqbZdIK+q2Jq03QZyvlivlHC1UsDI5Fb2VhSZBYAWuO0DPtqH3O8Fsd0EOqE1qD0mL0Z65fPX1ckIanOq86q09MOiHeZQwpWYi10/3QWdH6NcE0Ie39RxpSIfdEqpiNRb4b6OGTP0/SSbHx5txS9B0wKSeKCnLiEBYWhaY2Ar5DsqvELJG5WurkoPOTV/tyoAxOExJ4cv2Uyr4YXfVBsq8iTH73OtC2Orxxuhr8mcssIiP1fqc65Dl67B5B0hvFJkT0Cgse+JeF7/93+BxYvd3xcvdj105b8D+n5ERvYCEhNhNcJB9XD3K2I2Ouoi5LXXuq+66yzvr/5eLAJr1lTum88D3/pWemsx+GXcOPe7qIg81ZGOM+PGwVE+3CkUsBIaBb1e+lyvx1wiLskJoHzfuL08a+EKXeW0G2qomhqFKNKTZT06IUgKGGfsOAwq0sgA/LcPWUQNg2z3h7XHdNEVuv/XXZdGmNNui3I77MO2OAu3o+RU3tNGjF6Sx896n8NaBE0LSOKBoi6poFjU5xrK6mBOSFapFUqeNtQ+IozIIQuMunBfvznUbKKKOVkJ8fWLLoxNZ6CpeUZ191fOE6mZMxKJoGHtunQNSw2hdLqwdQB45ZVw52qTqGwM8bweeihw8snu7yefXPbOlZ9ntR8RApouX76uHx4/Hrj/fv0CVJby7UWBeK5F+OqiRe6rSaiUxQs5dFfNxwm4muAHH9g/Z5lagr8N2ttdh9VCwX1fKACXXx7TONPejsHbFmAA5Q8fnN8ViZeuzusRg4PIvWLooDKOt5dnsshCFwCtwC7arqk+RTOEVzvbtmMmyu3DKRTQicr2ocu5DrgLiPU6X9gQWtWxSj5uMzAO5XbYi3Eoib5OIg22kG3kdCTN4AREqmH6BVKBrvIlEH5ybsoLSghpLETeMoEQOYL0HWoKDTXctyK9QEv5fwRqf/PjH1f+f5hiR2lOVxEnarVhNR2IKU/k4YcDW28d//mmnaBh7XLbkL0jdKledGHrALDzzqFO1SpBbQyd2Fsr7UQt1H5EpFiQPdUAN8WCyNmq0tkJHHts+b1I49PskyjxXF9xhXtN5b5al+pI9piTf+/sBI46yr0XcYR4iudMFfyjYvp04JBDgJ12ctMxKJHwkY4zztTpGNd5CF6H++FO+46AhTyLVZ8z5PVYIXQWCnB2jsArOAXovm8QL8+o6OmpFLqGGRbYXcFStN05c/SLhY0gDKo2oi7VyZ2Yjv8Ht30MvNCLO3epbJyqLSRYurQc2dEI1yqr9KLcDsehF3kMVgm7Nm2hYhF4++3qtHHyonAcyJF6Aj6HzQU9dUkFpuItQStKCkx5QQkh4VC9BNISGjdtWvl3eaU4bN+hQ00voHowqAUx5HOSt5PgmLyohYhlyhNp8hptFNJYYE4UJJU9AYH4wtZN3rhAcBtD5/lab1EOtR8xpVjwKiiierinzSMqDo9TL0wezkH+P84QT3VRUnDmmdF8HlBuj0mkkxj2PIzyw9tdr0dH7oi6urKfP8OE8n1lL0+1T4wzXctBB5WFLhknX8Dv/14WnOXoBLVva5TwanVOaoogGG4f21Y/q7qUVQAX9NLCKpTbYTtW4TachUK+0ji1WbRdLazKqB2SFBR1SQWyIS2vXv71r+5rUAPElBeUBEe99mkR80i8qAZEWkLj1AJtSYgcQsRdtswtOiNya4oJu/AGTKrt6MSurLThWiKWLk+kWtQoLuJc+FALmiTdDmVeeKHyNS50ofMCnVgntuuQJ8q10k6ExSRAxtl36UJ663lmTSkmmh1TGpmjj3ZfVWH/8ssTOc1IsP2M+eFOTMfAC73um95eu6u8KUT+vgMv9A4XSVNzokch/JhSYN1/vyt0/Xn2Ajh5V3Au5Qo4s9SF8ceWRcu0jV9RoM5Jw8xLdSmrxPY46ekBetAx/LvXwl1PT/ocQaJEtMMB5HEVrsQLL0Ynd82Y4e3wQEhcMP0CqUIXhhYmlBqonCzpwkTTjjsIVmbUD1vVtF5U408YiKxS31zIldllGsGLol50/c0ZZ5S9RcV8Mqm2ows9D1rZOK2IPJGdna6HruyUFXe/r17nKO93PZWjo0Z4o9j0SvGDLnQ+LHK/VivtRJbRhfROnOimgJgzJ/jx1BQTutQHzYjaN4hn88EH3Ve/6XZ0ucW3S/kYLD9jYvI3YSJwzgWV+/X0uM+Mmg4pNNsm6JKcBNtWe3nOmAEcc4zbJ8pjhk3hR50jiGdbREZ86srpyE13c36sebYX57TuiHNQ7hvSNn7p2BZ9yKE0VHwu+POk2ohAdseRCQe1AnjO/b1Gqhj577XsoWLR/RHpBHQpKjLBtu1wkMcqtEdqA7W1VbYb8TxxTkbihqIuqcJr5Xj6dOD66+M7l6SRB02ByCEZlGIRePPN8vughvOMGeXJiJynbtQofY5CYhevQmBxDt6qAVEvao4xoJyzslGMkmnTgOuuq2w3QPxtR57YyXki29oaow3XyhMZF6aFjyjut5y/TIiNzU5bWznfreyNS8zIOXpVkUW1HSqERMNYIKeYSIsAbhprbIwzxSKwenXltuXLy9ED4jMPOAD44Q/d53OrrcrXOqhtq6YU6+4Grp5Wn+AkvkdUgkpFHuh+ABOBZUuB/7yncj85p3SYBQVSjWzn15PzUn0+5O3qHEEIxxXP9pCwvvX4dmytiJppH78Kdy3EK5iJAkr4M7bHwF0LANj1/K6KpApRhyEuli3pR8tBQ6sELa0VC3fqc3LXXe5Cu+j3ALM9pC4wRplbvFnQReg1yvyKpAeKuqQKYRjoClzU0wmpExMg/eKRGDT7n16GiZNcayfsyrppoPRrOKvh7VlfZc4aJi+I7u5yTsYsouYYA7w9xFTjJEzxsbjReWcA8bcdU7GrRiLJPJEC08IH+0qSVuS+QRVZ5szxLlKYFUxjTRAPelWsEAL3jTcC8+ZV7jtxIvC5z1V+5pe+5L6K8S2sV5XqAX3hpguBsTPRMiQ4OYsWwJkaXHCKUlCpcCCQnrFRbeVrZypCmnV0+WyziKlIl2qHNlqxpG3Rhw3OnYncULG3AkrIn9eJbXE4wi6g6FDrLkxKcR2Gjg6gFT1uMKmycKc+J1OmuK+yXW+yh9QioGJfRnqER32uGiVCj6QLirqkiqjCU8KEFyYd9iEGzf69y9vCGkhySGqjGs6NgFrJVHhUH3us3gsi63mT5EUcP2Hk6iSTxcdc1MJEmQxXI4SkimLR9S696y53Yn7XXW7fcsYZ2Rt7TGNNkEgF1Y4UArfjuMdVoyDyeWD//aujNILaXeripeOUPdK3RR+2uHTmcKXIAkpwZnVi4NDgglMSgorJYaCR0OWzzSI6j34ge31BUMahFzmlEmtucBBjsRI2RV2RtuaZpwFMAp5eAkzMoI2r60cAf/2eLno0Kwvi6uLN3kmdiIJ4rhoxQs8GuiieLDgMpQ2KuiQ2dHn2auVwaqSwDzkk1WQ4e4VZUvyNBz/5OLPiBWGqtiy3OV1IoFcYnuqhJIyVRkEX/uonTYouZxlpPNQwbwr4JEpMHldAuT/STYjuuae8raWlbHvYxEG5UI9ARF/pPs801gRBFSvEOHTxxd5REPWKlWqfLhwSZs82C065V4ILTlkWVNKMLvIwi+g8+sX2RqYX4+Dk8xXtzCkUsHKwdiVWuUBYrbFaLeI5vsO4a6qxlg87Y8hzkQMnAR8ldyoVVD1XDRahVy+imLV8/xppXhkXFHVJbOjy7AURj5oBkxdK1kP8s0Sc+TijxlRtuZ6QXTVHY0dGjV4TYdOkqJ5gzdRvNROmRR9SiU5oFNubcbIZFj+em7q0BnEUhSwhjwlKzQFZ7IwCVayIqyiNao/KDgkmwcnZubbgROKBKcuyzSq0Y/2tC1CY1YkWDGIABQze0oVVs2ovmoh+MW1jdcMUJEsRFQVCHQAZssF1eXfTkp6yWASK6MCApkCoDeS6JyKKp9EchuKAoi5JLWkq8BEXaoqGJEP81TQE8vY0VMhVwzRsVWtupHycOu+UoM+SyXM1Cs+vNBA2bK2efL1eRfi22w5AX/0FeIgd1FD4QgHYfHPg6KOTPrN0oRMaxXYuUPrHj+emnNZgzRr3WVy8GBgzpnZRnHrIo4RncAAm4Dnf0VdZRbVHhUNCf78rOA3etgAtszqBQVdwwvyuZBOLE9Jg9B02HYfgEDyMI3EoHsd/7+W2r1pzkrR6aXvlz25UgVf2mrY1Z5OpKBCK4dThmcAUDZKGYpVd3XnMxXJAKRC6cKGd4+uieBrNYSgOKOoS4sWqPuk1+lLuaooGeXvcqB5p8vagnp66Inlie9gJoCwWsFqzHp13StBnyWR4xpXkf1vEK2gmEbbmVYTv6h0WAjMrC/Bgpt2Kz8Q/otASUA6FZ8GLanT5U8V2YhfdhOjkk/WLTDYXQ3MAOuAeUI2+yuIiaD04U6cDhx6CgZ3GYge8jtemUtAlxCZ33gm8gR3xGbwIwH/0WVq9tGUHgq4uYMGC8t/S5lVsQo3IqeXBqXpNN8ucTb1OOtHeKxokaTpnlHDsNfsNnWTr8DlOnw5cf33SZ0cEFHUJMTANC9Gy60wAQMuuYzENC3AnmkdMkdMQ1FuQwatib9hUABVhNpqic6Yq2bbCRUyYCq1lNceVyXO1lueXzogJ6uGbW7QQr2AmCkOC5sBdC4AGbINCAAMqRbCzju4DDqwuwIOjDge2bg7RIG0F6NQ0G0A0XpB+JgFpRic0yttJMuhyfzfLxFrGyz4IPZFub4eDPFYlGE3hJ4++TLEIvKnkCE+rvRJF1FBc/at8X+6+u/xZ8vVu1OgnW0ybBnzrun48BzeUsd9pzXSxYrmNzZnj2toy8rzLVEhq/8jP0hs1F2otD856C1ZmFfU66UR7UzRIGmhrA9rQA3QAaI0v7REJBkVdQjTkVvVhAWYO50jLlUroQiceQfBqxjZIIteOnIag3oIMuiJ5QH3GWEWYjWbgM+UnthUuYsKUczOrE2fT5K6Wx4Mafh3Yw7evD4WzZyKHsqCZP68T2ybUBqNErT4u2Pr93mFBV5AbHARWrmwaUTeJAnS61DOiD9b1N1F4/5jaD0kXYQsr2vysIGKQblGiGSdmXvUL6sk5nzRB8+h3decx17K9ohPM9xva3laH51kUUUNx9a/y8eVih/L1jioPdaPQ1uZGB4wfEpf6pe1Zp1aaHV06o0kH2UkvUE/0hpwLVfYyNXlwqvZTsejOZ9XFNduoc2j1fdSo12nNGrfg7hlnlPfxKjJKiB8o6pLUI1YoRTVnwF3plv9mm9zKXhRQKaa0YBBjEbyasQ2SyrWjGudAOEFZVyRPbI8KU5XsqMNFTIXW0m542s5RLIdfyyKCb6/GXn1F8aTaoK4thDEMg3hgOmPHAfl8hbDrFArIjW2eAjxJFKDTpZ6Ju2CDrv2kKR+gX4pFd/IiSMrjOKgHo1/CFla0+VlBRC3TImgt1BRKUU2+48JkH2TV608QNI9+54wSjjqmMFzHQRf1FBT1OT1wkis+dXcDV9QhmIeNGvIirv5VFnPeftvdNmpUOed12u1Dkiy6dEbP3dsHfAVAXx+wY/j0gEGjN+Sx9K9/dV/HjHHH0qAenKbFNduo9lvc9pwcudTa6l5bNXo16iKjpPGhqEsCYfIYjWJlSXhL3Xab+366FHV95pnua1Rel87YcRhEvkLYHUABK5GMmJJUrh1d2oSJE4GZM91BKUpDVJeHd/lyV+MCaifcT6pKtqnQWtqxHZarGjEC316N4zQVxfMFrCyNTSREVNcWwhiGgTww29vdRGudlQV4Wtrbs1UBog7qKUAXFl3qGV0l3ii9NHXtJ035AP1iilyIm6AejH4JW1jR5mdFkf5DRTf5zvIEIin7IGqC5tFvawNGGcZqwGyHeR2z6jntB2BBMA8bNeSFqX9VF7nrxc9iSj3fQzc3y8qzbCNVV6OjpjOahoXY+wQ3PSDGjnXtxNPDpSYLGr1R4S1c51hqWlwD7C7ECvtNRIrq7Lk40UWvpimHLskmWbbJSAKonWCUK0umQl1f+Yo7CJxxRnRel8627ZiJBbij0Inc4CCcQgGdg12J5UpLKtdOZ6c7iMoJ/AH3fVtbtJ7CJkH5c59zf2/WhPtRkbqw3Ha3ojg6O9ECV9DsLLltMIl7LhufXkJfLQJ7YE6fDhzCAjxe2BZXdalndJV44/TSzCozZgDHHIMKT8AkPI6DejD6Jc6FpShELb/Ik1DhLXZQxrzGSXBMdpiXd3jVc5pBwVwe15MUf/yii+a74AL39wqx1AHGx3tqNTHlG81aAVLb0W5G+irTA6JUcjvoQ8KlJgsavSHXMxFew2HHUtPiGmB3IVbYbyJSVGfPxYkuerVZi4wSe1DUJYFQV7uiXFnyCmMfNcoVdaM0Eu/EdNz+wiFo3WUnDLzQizt3CR/eEhU6Lwqx3cZ9EcKtmsBf/C0MOsNHtyJvWsnM54H992/ehPtB8St4hQ3LjRJn6nSM6zwEy7A/9kEP7l3WjnM09zwOTw/5enkJfX6OI/7XtwdmCgrwpJmkxNU4vTSzitxu1MXJOAnqwUgqkSehQfs93RgURQqOrBcXTCMmO6ytLXrv8CSRBaukvfr8oIvmEynrZLG0BeUgnygjTbQFgw2CsppvVBA2AkGdF8VVjC6qIpTqnGnT3/RiNyU9IAYHkXslntRkcj0TQRRjaVQLsSTd0HM/PBR1SSDU1a4oV5a8wthjmxRu2175mjJ0XhSA3WIftleaZePYa0XetJIpSKMImUay7k24Cu3YAu9hFdqN9zxoUbawlc9N/0eSJSlxNY0V4rOELryS2CXOQm4mTGOQbVhc0D617LBGRRaskvbq84Mumq+tDZg3TxFLh1JhANHahrq0O9ujD68DVTlg607VpeD1vaLMVxpVtJsqFm+Lcfizkh4QhQKcnRur1gIXYpuTuotsNzEUdYldVvW5r3Umbif+0HlRAOlezZRDd4QBFGVOwLACXqPQDN6EQYuyha18HldRBxKMZhdXVc8GuY+LGt1n+u1Xdbn5iF3SsKinG4OiSMHRKMUFBbYK1WYNtT8DmuN720YrlkpCaZS2oRppueX9C7HdtTOBEurOAVsLNVWMjeJ/fojK0aS6WGw7Zk4spwdEoeB29O3pcT4y2R7NMu8i4am7yHYTQ1GXBMLLLX4aFqJlVzuJ28Oemy4VQSOj86IQ29OKHLoTRwGgsAJe1vCaADa6Z01QT4+wlc+9ijoQkhSqZ4Po46IqJCqjfuZVVwGzZvkLldPl5iN2ScOinm7RJaroLsCObWHycI4zBNSUzzYrUTZhUfszoDm+d9xEuRhaEWnZ1wdcO9PN/QrUzAHr5Yjh97PlVDFxF1q1je47yOkB0dvrOlGl6LuJPMkqjTbvqoVJM2lrKz+LTDNQiW3P/WaCoi4JhCmh/bfPt5u4PQymVARxkYYwR1JNWAEva6RpAhhbwYiQhK187lXUQaAT1wmJEtWzQfRxURUSlTnzTOCOO8rvFy50f/yEyuly8xG7pKnfzRImD+c4Q0B1xTmboUK63J+JxZ5m+N4NS29vWdAVeOSANTlixLFImSlEWsAUeegKRJ5kIDtRpFFgSiVw5ZXA4KD+b0wzQMJCUbeJMXn2eU0ATAntt325F4Wb40vcrlv9OuAA4KGHgKOPrhxE4iINYY4CbZGCGAoFpJGwAp4XqmiZhmIsnZ1uGxD3/YwzgMWLgTFj3Ochzol9VAUjskDSi0vEjOrpk/SCg2kBIGh7NRUis/2ddGHRxx0HnHACsNVWlfumMVQuDd6XJBuYPJzjfK51xTlFHQtBUkWhokTuzwTq9wbYnjPDuHFuheOSvxywatsrFt15nWxXLl8OjOJiVWqRbY80RZF6ec5G0W+YUgkIT12mGSA2oajbxJg8+7xWiYxu8Z8ch8EYE7fXSqQtDyKAvgO3PbjUG+Zos0K0rkgBEH2hgGZBJ1omTVtbdZs+4wz3NW5BNaqCEVlA510VN8Ui8PZqYADurNhmHuksRySIcUOQ9IKDV6HLK66I/3xqoQuLPvpo/fXzCpXTTaziWBhLg/dl2kmDSKguSieRB9/Un6UtBDSpolBpgO05I7S3u+n4Ojtd98QaOWDVtnf55e7rcceVRYsJE4FLeJ9DkWUbLizC5rj2WvdV5zkbRX9p0kyA8ljCNAPEFhR1mxhTaFdbW4hVovZ2zER8iduDJtLWdeC2J/H1Dog2K0SrRQoEjTpgx0114YJ05INMQ/5EILqCEWnCS/wQOYzjNs6ESHb11cAdd7QCeA6A3TzSaYpICIoYN4B4C6iYMC0ApDVE0VZYtGlRNmrU/nHNGlc83Hxz930zTG5rkQaRUF2UbtQ8+DZIqihUFAR1bEiDNzXxyfTpwCGHADsFzwFbMd9zAEwEli11PXV5n4MThw0nR/OIRbkkEakjFy2q3D5zptuPZLG/JESFom4TYwrtCkuciduDJtLWhT6kDZsVoiuKFChwFbB+4lxZ9UqloT7HzSxGxE1UhrE2H/EowI+TnBDJ7rgDKKAfz8Gd6fc7rdbySKdl4SAM8jmmYeFBNwaL7WnEb1h0LXSLsnEsjKn945w50U5udcVb5fat2z9pD6q4RULd5P/YYysXpf3kwTflcW/0UPxGKgoV1LEham9qXbqZWinqiAfCySegs0/FfG9o2/jxqaoLlinisOHkaJ64UyHqMKWOFN9ZHasfe8x9FW1fjhZh+ydphaIusUtKE7enYQJfi7gqRJN0YsrT65VKI+2ekY1MVOKHLrXH3MuAS338b4XB2g+Mn9gDdJQnPzaM0XoEJnWBQt7OIjjNg25RNomxLurJrS69hpjs6rwQ0+AFH1QkLGIMgPAVvOX+Tkz+H3ig0iPXT45oXb85c6brICifVzMsfKZhcSAMNh0bbKBLN1MrRR0haSeOfmDJErfdyFE9SeKVBkFd3AXcVB9Aue3L0SJpTI1FCEBRl5CmwitkPM3GfjNgytPLVBrpxEv8qAdtPuJRAHyEGVacRwoXhNQFCnk7w6rTg87DNEoPNdPnbbddtJ6WUY978sLPtGnlEFBA74WYRS/4brjus2EreOu8tcNEFKj9ZleXm8ZzwYLK84pLIDd5DsdxL9OwOKCjWASKHlFHUTs2mIpDb7ed/r6Y0s34SVFXxBi8meAzQEiSiGgeOaonrejSYN1/vyvsinGlnrGJ1IfNekONDkVd0pCkrcp5WkirsZ9mgk4EwmLK0+uVSoM0HlqBuD+VGm1g5AWKLOSQtU2SQk8QwhRRjeLz6s3jmvT1lhd+vvlNV9T1SjmRxmehFjPQjWtwRegK3jpv7TDXQO0358xxJ+sqUS5MyMUpdYu0cdlZcSwOeFWRN31OV3cecxOMOvLqZ3Sfb0o34+uz0Im5B5UfSNrahKQTXRqsQw91X8W4Us/YROrDZr2hRoeibpPTqCsgskcMQINK0EhFNeIi6EQgLFnPh0dILeQFiizkkLVNkkJPEORx4umn3dDD0EVU6/i8ehez0nS905JywjZtWA0gfeNX3AK5G4VQLk4pEIV4xDnFQRzf3VTs0Kt9dc4o4djjC1Xb48wXrSsOHcWieSe6cNSS2ZhwUGsktrYp6q7Rc0iTdKNb7GkETaGZMNX1SMpMT1tanjRDUbfJadQVEJEUHQgnXsrJ0fdDtedvUNKS4yyqkPFGJs6JQBZQn2W5gAAhMl79XjNOPrWpNVIoaMv3Z++93dd6iqiG/TzZQyYMWbneYcniorzunN991/39k58sb0urF7uJGTOA44/pl1bMXeMqS98hCLpih4D3d21rA9oStJtMxaGjsIPbsBqjpBB0259hmrsx32+6SMvcLy5Miz2kTNqfCVNdj6RSCbPekH8o6jY5jboCUm+VczEgHTjJDXteuLC+82Hag+wS5UQg6fDgMKjPsiggUG8bIf4wFRtLI179Xj1h9VmFC2nx0ujXO4uL8n7OOYv2UVsbsF0bALjFKdHAzx3gXXiIRI8p6s5v2hMSD1mf++nSz8nzFhXdYk8jaAo2SfszoVsM37a/z63r0dcH7LhjzWNkccG5EaCo2+SkZQXEq1BKEgLXcKfWD2CiW0H5quvDHy8LBVDSvnpoG5M4VizG54WbpvBgv6jPsjDYpk8Hrq+jjSRBFp95U7GxNJKFfo/oYRhldNjqd7K4KK875zVr3Nettqrczn6CJIW64O7V9+mil2xE+HlhirqjB1u6yLoNpEs/J5yedGQ9zZApV7jNyLK0PxNVC3ULF7p5hABg7Fi3+ujp0z2PEdWCcxbnbHFCUZekAlPe0pkzXYEr7sY63KlZSo6ehQ4n7auHtjGJY93dwNVXx3MOWQwPVp/lLBcQyOIzbyo2lka8+r0sGfrNSBrDKP1MtLIQ/WCr30nLonwQbN0LTu5IlOgW3E2o7dlWhB+JHtWhSE4nZsO3I+v9kS793JIl3sJuljHZPTbTmmTqmejrc4WYUsl9Xyq5D8UhhwNoN/5bVAvOWZyzxQlFXZIKOjuBVauAO+6o3L5ggdv51WqspjyfxD9pXz20jUkcmzEjvnNg6GKyZPGZNxUbI9EQpsp7IxBXGKVXjm41YsLPRCsL0Q9Z7HfSBid3JErUBXevvq+qPVuK8CPR45VObK7+X5oKXfq5jo7kzidqTLnC/aQ1yWrKAc8F0t7esqArGBxE7pWV8BJ15edGHD+XKx8/7HWh7eQNRV2SCtragMsvd0XdIIUXBKaBuRlQRQcgXOqKRhcp1IFr9Wp90aZGvgakkkZ/5kn9hKny3gjEFUZpGrt1ERN+JlpZiH5gv1M/nNyRKFEX3L36vqr2nOHopWZDzU3sOOV0YqAg33Sodo+YN65e7W73EiSzmOMeqLFAeuY4IJ+vFHYLBTg7j637+GGg7eQNRV2SGuopvGDK89kMqKID4H73RhcdgmIaWGbOHDLghogylzNDRomMrghFkrnE00xSbSdMlXfiH9PYrYuY8CO0NGv0Q7ONLY36vQgh8aHmJpa3ExJEkMxijnugxgJpW7sbMt3ZCQwOAoWCe1HazV66fo6fheuSRSjqksSxMRkx5flsBmTRQawyL10aX7GvrKAbWLq63PFqwYLytigFcYaMEhlTLnE+D9Uk1XZY5T1aGilHd5JE2T6yGlbaCDSbWJ8Uam5VXmdCSBBBMos57gEffdz06cAhhwA77QT09gI77jgcjRD2+Fm4LlmEoi5JHApd9SGLDoLx4ylAqOgGljlz3EEbKA/UUQriDBklMroiFOrzVywCxTeBAbgNXJ5s2qzIm3ay2HZsCzJxVGbOIlkojhY1UbYPk42mm0BQhLQL7eN44HUmJPtU2EYOsEedx0urIKmL8pPtIOsIz9yh12atNZF2KOqSxEn7ZL2IMXiTk8bQBCmEo/tfoHLgsOkhpCsCEKUgzmcmXtJuePh5/tzJZiuA5wBUTjZnz47vXJMmLfcsCLaFgqCVmb2e/0YSgrNQHC1qomwfso22Zg3w9tvueH7mGeV9xHjeLOJYsVi+DkBZRBhv+XPSYB9HbYelATW3qki1k7Uxh5BmRraNWgB85PP/srYYqYvyk1MwRk29tSbUMUXWBdJ4vbMCRV2SOGntNAVd6MTcg8oqS6NOUqIiSCEcFdPAQdKDrUJ9UdAIRa46O4Fjj+qXZptuX5T0tSW1CSvImDxPg1ZmvvNO91X3/DfSgkAWiqNlGdlGmzOnPJ7Ll1yM52kQIaNAnfRffbVb2FcgRATbTlxpsI+bwQ5Tc6sy0i2bxCnOMWVH+qiwBfoB+MzbmrXFSF2U35Il8Qm79daaUMcUWRe44gp759lsUNQlw3gNho3k1ROUTnThqCWzMeGg1kyv4Ce1EhmkEI6KbuBggvV04bdQXxCPbV1okWlfLxqhyFVbG9A2CgB6gA4APityk+QJ27eaPE+FEOu3Mvu0acB112X7+fcDRZj4qBjPpUmzGM8bVdBQJ/1C0J05s5zCKYiIkCUa3Q7zso3F39OeTzqLea+jiKSKU5zLmhCYBHEL3xW2QL//RbasLUbqovzkFIxxfL74zDC2lzqmBNEFiBmKumQYrwGqkbx6gtKG1Rg11FlmefKYZKGhsIVwdANH2oSsZl+t91uoL4jHtryvzhvMLyxyRbKILc9Tr+c/SD+aRcGAREPFuCZNmrM61vld7Paa9MvXo5EwLa42mqOHl20M6P+WNkzfIc1EEUkVpzjHlB21yYrw3UjzNW2k1yggTV9PtU1ZINcOFHXJMF6DYdAV1WIRKKr5xljQJVGythKZFbJitESF30J9QTy2a3mDEWKTtEWpmBYhklrQyqJgQIgf/I7fjTTp90uzOHrUso3Vv6XRS1n3HdJ4njJRRFLF2U6ZsqM2FL7jRxfpNfcygFkNGh+KumQYr8Hw8svdV78rql3decyVcvzVKuiSNEZvy4RWt0wiQz0CQ5onJWLRQJClRQAaLf4I4rGddm+wrBVVqEWze2I2i3gRliwKBiRaikWg+CYwAHc1L6t9IBe7zTTLtan1zKp/S1u0GKD/Dmk8TxlGUjU+FL7jRxvpNQqApu4CaSwo6hJfBF1R7ZxRwrHHF6q2mwq6JI1pUp/U6pbpfNIqitdDsVgdUp+l70ujJTmSElcbzTu7GTwxvdKkNIt4EZYsCgYkWtw+oxXAcwCy2wdmTYSOE921EWOu6EuzKuYTQqKl0ZwfsoJ2Hkp7rSmgqEt8EXRFta0NaNMUNErrRNDobZnQ6pZJZEirKF4PXV2VVaQFM2eWFxMI0ZGUuNpoImAzeGLWelZM9y6tY1YzYBLi83mgVOJkMUk6O4Fjj+qXjCbXMOT1b2wabUEzDehyFy9f7tYlYHsiWSXqvoLtJvsUi8DbbzdvlKBtKOqShiNM4Sqjt2VCE3rTuTaiwOCVviAL6RdIciQlrjaaeCR/H2Eo53Llv0dtKMdh2DFNSjyoE6277y7fy6BpdUyTwoMPBp58sno7haX4aGsbWvRGD9ABgBEqTUGjLWimAbWfA9wF1Sz1Z/TKJCpR9xVpbjeN2h5M9ZLCfq/u7krHrUaMEowTirqk4aAnQbbwSl/QiCI2sUfaDSRdrmgbYqWpKnmx6Iqv9ZCEoRyHYcc0KfGgPj9TppR/D5pWxyTEC09dlTT3BYQ0Amkfc7OILH6JCJmlS+sfy+OE867oUe2+FSuA/Ya26yJjkybqviLN7aZR24OpXlLY7zVjBnD88ZXbGi1KME4o6pKGgx5ZhJA00N1d+d6WWKkTXsXnqfmpg5KEoUzDzg6qx/OKFeXt4v5FHbIoPz9r1rjnA5QF9bffBjbf3P29lpcHhXhCSKMj93/CkWH8+Gz1d/Tgjh7V7jtwkhtM2t0NXFGn3ZcGvKJsddE9aW43jdoeTPWSwn6vtrbquQWducJDUZd4ksUQAk4E04nXs8Q0C9lDdz+ZC6kSOSe0WGCyIVbqhFfxefWShKFMw84OqsfzpEnl7ULsj9oT28s2mDOnMb1XCCGkmUnznLBRqBIK+wFMtGP3pQEv79bZs5M5p7DE2R5ERGBPT/k1Kp3GVC+JpAOKusSTRg0hIPHTSAM2Md9PUkY2qMQCkw2xUs5/K+e+LRbdz+DkqjlRPZ6F4C9P+pIMWWxU7xVCCCHNQxIOT1XH7i9vbwSaPco27DMlIgIPOsh9pU7TvFDUJZ5wEkZq4Xcg4rPUWOjuJ0Pm4yPNRSIagaxGqcjibL9m0pdkyGKQa6crnpf2608ISTdZ7NdJ+qDDk32avb5K2GdKRATKQjjA/qwZoahLPKGhQ2rhdyDyepaaYcBuNHT3k/exjCk/mK1UI2kuEtEINPKkLQvChql4XiNcf0KIffykhKqnX89Cv0nigU4qxDZhnynxd6abJImKuk899RS+853v4Pnnn0exWMR9992H4447zrj/kiVL8I1vfAMvvvgiPvroI2y//fbo7OzERRddVLHfT3/6U1x++eV45ZVXsPPOO+Paa6/F8WoVFkKIFWjcEFKNafJ42WV2jh/G45Lej/5p5H4tC4K1rnge0BjXnxBiHz8poerp17PQb5J4oM3UvESVw5bPFKmXREXddevWYa+99sLUqVPx1a9+teb+I0aMwLnnnos999wTI0aMwJIlS9DZ2YkRI0Zg5syZAIBnn30W//Iv/4Krr74axx9/PO677z6ceOKJWLJkCSYw6SMh1uFAREg1pvxgo0ZVeiDGSRa8H9PiDRXX56nfFwCWL3c9rqP6/CwI1rrieYQQYkLu19asKS9gnnFG5Tgyfnz9x5dJU79JCIkW5rAlaSVRUffII4/EkUce6Xv/jo4OdHR0DL/fYYcdcO+99+JXv/rVsKg7b948HHroobj00ksBAJdeeimefPJJzJs3D3fffbfdL0AIIYRoMOUHSzJFRRa8H5vNGyqJ3MhciIseVaxfsaK8nWI1IfaR+7U5c+yPI+w3s4vXYrGtlFikOWAOW5JWMp1Tt6enB8888wyukVyPnn322ap0DIcffjjmzZtnPM7HH3+Mjz/+ePj9+++/b/1cSXrx9AzjYE8IiZA4PVPT4P1YyzO12byhmBu5MVHF+kmT3NfubuDqq5M5J0KahWYbR5qJIsag2AMIE8KPzeS1WDx7dqSnSxoM5rAlaSWTom57ezvWrFmDgYEBzJkzB2eeeebw31avXo2tt966Yv+tt94aq1evNh7v+uuvx1zVVYY0DZ6eYRzsCSEBCeIVQs/USs/UZvOGEt+1WARyOff3XK6ct62ZrkUjoYpKQrCfMSO5cyKkWWjkcSQtKYqSogudmDuhrKb5sZmyJPI3+/0lhIQjk6Lur371K3z44YdYunQpLrnkEowdOxYnnXTS8N9zYmY0hOM4VdtkLr30Ulx88cXD799//3186lOfsn/iJJVkabCX8VPpN6vovtu777q/f/KT5W00dEgaCeIVktX+Jyz0TK2m2YT9ZkAdl0TalUZt14SQeGj28aITXTh22WygpdJN0qtv9ZonJJkSS0ez319CSDgyKeruuOOOAIA99tgDf/3rXzFnzpxhUXfMmDFVXrlvvfVWlfeuzIYbbogNN9wwuhMmqcZTFEzZYC/jp9JvVvHz3WjoEBNJezoEEWqbbVFC/r5iMjV+fHOHsTWbsE8IISQczT5etGE12joA1GkzpNUxJov3t1gsFyYE6HRDSBJkUtSVcRynIh/uAQccgMcee6wir+6jjz6KAw88MInTI8QKOuPjgAOAhx8GttqqvJ/wfMsKJvHtuOOqjZo1a9xX+fsCNBgamWIRKL4JDMAtkOnXUEza0yFLXiEkeTjxIYQQ4geOF3ZIq2NMFu9vd7dbPExApxtC4idRUffDDz/EypUrh9+/9tprWLFiBbbYYgtst912uPTSS7Fq1Sr8x3/8BwDgBz/4AbbbbjvsuuuuAIAlS5bgu9/9Ls4777zhY1xwwQX4/Oc/j29961v48pe/jJ/97Gd4/PHHsWTJkni/HGkIikWgiA4M9Ljvk1p99CtSZU0wSlp8I+nGfT5aATwHwP/zkUVPB0JIekja258QQkh06OzErDnGpIUZM4Djj6/ezrEyYWjINBWJirq/+c1v8IUvfGH4vchrO2XKFCxevBjFYhFvvPHG8N9LpRIuvfRSvPbaa2hpacHOO++MG264AZ2dncP7HHjggbjnnntw2WWX4fLLL8fOO++MH//4x5iQliU4kim6uvOYi+XAQe77pETHRhWpGvV7ETNBbIzOTuDYo/rdhrds2XAOtVrPB+0VQkg9cMGREEIaF52dmDXHGGDIpk449UFbW+PXRcikPkpDpqlIVNSdPHkyHI8ENosXL654f95551V45Zo44YQTcMIJJ9R7eoSgc0YJx16zX4WgBMTfgad60KiDRv1exEwQG6OtDWgbBQA9gIUcaoQQ4gcuOBJCCEk7Xd15zG3S1AeeQusou5+VNn3Ul8hMQ6apyHxOXUKipK0NaKOgRIg1aGPERxFjUOwBhmy+bHgWEJIC2EYIIWFIS9o20hx0zijh2OMLVdsb4VmrJVx6Cq2z7Z5L2uYuvkRmdjpNBUVdQgghsUEbIz660Im5E8qrUUl7FhBCCLFDJsOBm4C0pG0jzUFbG9DWoKkPagmXcQqtaetX0yYy1wvHs/qhqEsIaWo4kJBGpRNdOHbZ7IrUMQCfa0IIyTppCwe2SZbtsrSkbSMkSnp6Kn+Pon3WEi49Py+D+ZGDkIW+MAiNPJ7FBUVdQkhTw4GENCptWI22FKaOyfKEnZCmhw04FTSap5ZMlu0ypm0jjYTa3a9Y4b7K9efrbZ9eQ8r48WHPnGSJRh7P4oKiLiENAOdY4fEzkPD6EmKPLE/YCWl62IBTQSPbH5zgE5IO1O5+0iT3dfp0YNasyn3Dtk8OKaSRx7O4oKhLSAPAATE8fgaSOK8vBWTS6HDCTkiGYQMmEUN7h5B0oHb3/f3AxInAFVcA21nK5cshhZD6oahLSAPAATFa4ry+WRToKUSTIPC5sAPbHUkEPmCEENIUqN19f395e1SfQQgJDkVdEivFovsqEqwHnYRyEqun2b9/1MR5fbMo0GdRiCYkK5jGvR/9CPj+98v7sd0RQkhz4zlPGpXsuaUVXd7Y/VCesxJCSNqhqEtipbvbfT3oIPc16CSU4hFpdLIo0GdRiCYkK5jGvYsvBp5/vnr/LLY7LtgSQkj9eM6TZidzTmlHvWYHTgL6ASxcmNgpEUJIICjqkliZMQO45hpg2TJ3wibwO2mjeERI+qDwUhuKViQsXuNeozw7XLAlhDQrNu0DzpOCU3XN+gFMdIuBXXV9UmdFCCH+oahLYkUYFR0dQGtruP+nYUIIyRpZEq0oQKeLZrjuFCIIiZcixqDYAwx18+znE8SmfeB5//rDnF3jU3XN+t32sXp1eRPbByEkzVDUJYQQQiImNtHKgiKbJQGaNAacKCcPF3Oaiy50Yu6EsncF+/nk4KJW+uhCJ+YexPaRRYpFoPgmMIAOAG6OZLF9u+2SOy9CooSiLmkoOCkhhKSR2PogC4osJ5iENB9czGkuOtGFY5fNBloqw+bYz8cP5yjpoxNdOGrJbEw4qLUiZSDvU/pxx7JWAM8BACZNcrd3dwNXX53ceRESJRR1SUPBSQkhpKmxoMhygklI88HFnOaiDavR1gEgRCo0QhqZYhEoorrjo22UDTo7gWOP6ndFgGXL0O+0YuJEt64PSQ463kULRV3SUHBSQuKEAxRJEv3z14a2tjY+f4SkgCyNEWk8J0JIc6LtOx1gfAyf3dWdx1wsBw5y39NBKFu0tQFtowCgB+gop5Lm+JYsdLyLFoq6pC7UQXfFCmC/oe1tCeSt4aSExAkHKJIkfP4ISTdso4QQEhxd39mCiGu9DU1qOw/I4VhMB+76D6BQAEaNArbaivNLQuqAjnfRQlGX1IU66B44yR1wu7uBK6S8NVnyViHELxygSJLw+SO24VhtF7ZRQggJjrbv7AcwMcIPHZrUtgFu8oUpe7jbuQpHSN3QjowWirqkLqoG3aEBV81bQ28V0ohwgCJJwueP2IZjtV3YRgkhJDjavjNSN11wFY4Qklko6pK6qBp0+8vbZThOEkIIIemGYzUhhISAYQ7Zh/fKCB9vQtINRV0SC+z0CSGEkHRTa6zmxI6QDMMGHB0McyANDB9vQtINRV1CCCGEEFITTuwIyTBswNHBMAdfFItA8W2uK2QNPt6EpBuKuoQQQgghpCac2BGSYdiAo4OqpC+6uvOYe035PdcVsgEfb0LSDUVdQgghhDQsjDi2B68ZIRmGDZgkTOeMEo49vlC1nY8lIYSEh6IuIYQQQhoWRhwTQgghydPWBrRtl/RZEEJIY0FRlxBCmhB6L5JmgRHHhBBCCCGEkEaEoi4hhDQh9F4kzQIXKgghhBBCCCGNCEVdQghpQui9SAghJK0wmiTj8AYSQuJG1+84LQDGJ3pahEQNRV1CCGlCOK8ihBCSVhhNknF4AwkhcaPtd1oA9Cd1RoTEAkVdQggh6YNePoQQ0rQ0ajRJ0wxtjXoDCSHpRdfv9AOYmMjZEBIbFHUJIYSkD3r5EEJI09JwIucQTTO0NeoNJISkF12/Qydd0gRQ1CWEEJI+6OVDCCGkweDQRmKnadzDCSGkOaGoSwghJH1wskEIIaTB4NBGYqdp3MMJIaQ5oahLCCGEEEIIIUGhFyRJO3QPJ4SQhoaiLiGEEEJIg0CNiZAYoRckSTvs/EkTQluINBMUdQkhhBBCGgRqTITECL0gCSEkddAWIs0ERV1CCCGEkAaBGhMhMUK3L0IISR20hUgzQVGXEEIIIXXBMLf0wGtOCCGEkGaGthBpJvJJnwAhhBBCsk1XF7DPPuXwtgkT3PddXcmeFyGEEEIIIYQ0KvTUJYQQQkhdMMyNEEIIIdZhKBAhhHhCUZcQQghJIxmayKTwlAghhBCSdVjxihBCPKGoSwghhKQRTmQIIYQQ0swwFIgQQjyhqEsIIYSkEU5kCCGEENLMMBSIEEI8oahLCCGEpBFOZAghhBBCCCGEGMgnfQKEEEIIIYQQQgghhBBC/ENRlxBCCCGEEEIIIYQQQjIE0y8QQgghhBBCCCHEHsWi+zMw4L7v6QFaWpheihBCLEJPXUIIIYQQQgghhNijqwvYZx9gwgT3/YQJ7vuurmTPixBCGgh66hI7cCWWEEIIIYQQQggAdHYCxx5bvZ1zw3Bwvk0I0UBRl9ihqwuYO7f8XqzIXnklMGdOIqdECCGEEEIIISQBKDbahfNtQogGirrEDlyJJYQQQgghhBBC7MP5NiFEA0VdYodGW4lleAshhBBCCCGEkDTAeSghRAMLpRGig4n9CSGEEEIIIYQQQkhKoacuIToY3kIIIYQQQgghhBBCUgpFXUJ0MLyFEEIIIYQQQgghhKQUpl8ghBBCCCGEEEIIIYSQDEFRlxBCCCGEEEIIIYQQQjIERV1CCCGEEEIIIYQQQgjJEBR1CSGEEEIIIYQQQgghJENQ1CWEEEIIIYQQQgghhJAMQVGXEEIIIYQQQgghhBBCMkRL0idACCGEEEIIIYQQQghJmGLR/RkYcN/39AAtLUBbm/tDUgU9dQkhhBBCCCGEEEIIaXa6uoB99gEmTHDfT5jgvu/qSva8iBZ66hJCCCGEEEIIIYQQ0ux0dgLHHlu9nV66qYSiLiGEEEIIIYQQQgghzQ7TLGQKpl8ghBBCCCGEEEIIIYSQDEFRlxBCCCGEEEIIIYQQQjIERV1CCCGEEEIIIYQQQgjJEBR1CSGEEEIIIYQQQgghJENQ1CWEEEIIIYQQQgghhJAMQVGXEEIIIYQQQgghhBBCMgRFXUIIIYQQQgghhBBCCMkQFHUJIYQQQgghhBBCCCEkQ1DUJYQQQgghhBBCCCGEkAxBUZcQQgghhBBCCCGEEEIyBEVdQgghhBBCCCGEEEIIyRAUdQkhhBBCCCGEEEIIISRDUNQlhBBCCCGEEEIIIYSQDJGoqPvUU0/hmGOOwTbbbINcLof777/fc/97770Xhx56KLbaaitsttlmOOCAA/DII49U7LN48WLkcrmqn3/84x8RfhNCCCGEEEIIIYQQQgiJh0RF3XXr1mGvvfbCrbfe6mv/p556Coceeih+/vOf4/nnn8cXvvAFHHPMMejp6anYb7PNNkOxWKz42WijjaL4CoQQQgghhBBCCCGEEBIrLUl++JFHHokjjzzS9/7z5s2reH/dddfhZz/7GR588EF0dHQMb8/lchgzZoyt0ySEEEIIIYQQQgghhJDUkOmcuqVSCR988AG22GKLiu0ffvghtt9+e7S3t+Poo4+u8uRV+fjjj/H+++9X/BBCCCGEEEIIIYQQQkgaSdRTt16+973vYd26dTjxxBOHt+26665YvHgx9thjD7z//vu46aabMGnSJPz2t7/FuHHjtMe5/vrrMXfu3KrtFHcJIYQQQgghhBBCCCFxIfRIx3E898s5tfaIiVwuh/vuuw/HHXecr/3vvvtunHnmmfjZz36GL37xi8b9SqUSxo8fj89//vO4+eabtft8/PHH+Pjjj4ffr1q1Cp/5zGcCnT8hhBBCCCGEEEIIIYTY4M0330R7e7vx75n01P3xj3+M6dOn4yc/+YmnoAsA+Xwe++23H3p7e437bLjhhthwww2H32+yySZ48803semmmyKXy1k777Ty/vvv41Of+hTefPNNbLbZZkmfDiEkAGy/hGQXtl9CsgvbLyHZhG2XkOzSTO3XcRx88MEH2GabbTz3y5yoe/fdd2PatGm4++678aUvfanm/o7jYMWKFdhjjz18f0Y+n/dUwhuVzTbbrOEbBiGNCtsvIdmF7ZeQ7ML2S0g2YdslJLs0S/sdOXJkzX0SFXU//PBDrFy5cvj9a6+9hhUrVmCLLbbAdttth0svvRSrVq3Cf/zHfwBwBd3TTz8dN910EyZOnIjVq1cDADbeeOPhLzt37lxMnDgR48aNw/vvv4+bb74ZK1aswA9+8IP4vyAhhBBCCCGEEEIIIYRYJp/kh//mN79BR0cHOjo6AAAXX3wxOjo6cMUVVwAAisUi3njjjeH9u7q6MDAwgHPOOQdtbW3DPxdccMHwPu+99x5mzpyJ3XbbDYcddhhWrVqFp556Cvvvv3+8X44QQgghhBBCCCGEEEIiIFFP3cmTJ3tWclu8eHHF+1/+8pc1j3njjTfixhtvrPPMmosNN9wQV155ZUVeYUJINmD7JSS7sP0Skl3YfgnJJmy7hGQXtt9qco6XqkoIIYQQQgghhBBCCCEkVSSafoEQQgghhBBCCCGEEEJIMCjqEkIIIYQQQgghhBBCSIagqEsIIYQQQgghhBBCCCEZgqIuIYQQQgghhBBCCCGEZAiKugTz58/HjjvuiI022gj77LMPfvWrXyV9SoQ0Nddffz32228/bLrpphg9ejSOO+44vPTSSxX7OI6DOXPmYJtttsHGG2+MyZMn449//GPFPh9//DHOO+88jBo1CiNGjMCxxx6Lvr6+OL8KIU3N9ddfj1wuhwsvvHB4G9suIell1apVOPXUU7HlllviE5/4BPbee288//zzw39n+yUknQwMDOCyyy7DjjvuiI033hg77bQTrrrqKpRKpeF92H4JSQdPPfUUjjnmGGyzzTbI5XK4//77K/5uq62+++67OO200zBy5EiMHDkSp512Gt57772Iv138UNRtcn784x/jwgsvxOzZs9HT04PPfe5zOPLII/HGG28kfWqENC1PPvkkzjnnHCxduhSPPfYYBgYGcNhhh2HdunXD+3z729/G97//fdx666349a9/jTFjxuDQQw/FBx98MLzPhRdeiPvuuw/33HMPlixZgg8//BBHH300BgcHk/hahDQVv/71r7FgwQLsueeeFdvZdglJJ++++y4mTZqE1tZW/OIXv8Cf/vQnfO9738Pmm28+vA/bLyHp5Fvf+hZuv/123HrrrXjhhRfw7W9/G9/5zndwyy23DO/D9ktIOli3bh322msv3Hrrrdq/22qrJ598MlasWIGHH34YDz/8MFasWIHTTjst8u8XOw5pavbff3/nrLPOqti26667OpdccklCZ0QIUXnrrbccAM6TTz7pOI7jlEolZ8yYMc4NN9wwvM8//vEPZ+TIkc7tt9/uOI7jvPfee05ra6tzzz33DO+zatUqJ5/POw8//HC8X4CQJuODDz5wxo0b5zz22GPOwQcf7FxwwQWO47DtEpJmvvGNbzgHHXSQ8e9sv4Skly996UvOtGnTKrZ95StfcU499VTHcdh+CUkrAJz77rtv+L2ttvqnP/3JAeAsXbp0eJ9nn33WAeC8+OKLEX+reKGnbhOzfv16PP/88zjssMMqth922GF45plnEjorQojK2rVrAQBbbLEFAOC1117D6tWrK9ruhhtuiIMPPni47T7//PPo7++v2GebbbbBZz/7WbZvQiLmnHPOwZe+9CV88YtfrNjOtktIennggQew77774p//+Z8xevRodHR0oLu7e/jvbL+EpJeDDjoI/+///T+8/PLLAIDf/va3WLJkCY466igAbL+EZAVbbfXZZ5/FyJEjMWHChOF9Jk6ciJEjRzZce25J+gRIcrz99tsYHBzE1ltvXbF96623xurVqxM6K0KIjOM4uPjii3HQQQfhs5/9LAAMt09d2/3zn/88vM8GG2yAT37yk1X7sH0TEh333HMPli9fjl//+tdVf2PbJSS9vPrqq7jttttw8cUX45vf/Caee+45nH/++dhwww1x+umns/0SkmK+8Y1vYO3atdh1111RKBQwODiIa6+9FieddBIAjr+EZAVbbXX16tUYPXp01fFHjx7dcO2Zoi5BLpereO84TtU2QkgynHvuufjd736HJUuWVP0tTNtl+yYkOt58801ccMEFePTRR7HRRhsZ92PbJSR9lEol7LvvvrjuuusAAB0dHfjjH/+I2267Daeffvrwfmy/hKSPH//4x/jhD3+I//qv/8Luu++OFStW4MILL8Q222yDKVOmDO/H9ktINrDRVnX7N2J7ZvqFJmbUqFEoFApVKxVvvfVW1coIISR+zjvvPDzwwAN44okn0N7ePrx9zJgxAODZdseMGYP169fj3XffNe5DCLHL888/j7feegv77LMPWlpa0NLSgieffBI333wzWlpahtse2y4h6aOtrQ2f+cxnKrbttttuw8WDOfYSkl6+9rWv4ZJLLsG//uu/Yo899sBpp52Giy66CNdffz0Atl9CsoKttjpmzBj89a9/rTr+mjVrGq49U9RtYjbYYAPss88+eOyxxyq2P/bYYzjwwAMTOitCiOM4OPfcc3Hvvffi//7v/7DjjjtW/H3HHXfEmDFjKtru+vXr8eSTTw633X322Qetra0V+xSLRfzhD39g+yYkIv7pn/4Jv//977FixYrhn3333RennHIKVqxYgZ122oltl5CUMmnSJLz00ksV215++WVsv/32ADj2EpJmPvroI+TzldJGoVBAqVQCwPZLSFaw1VYPOOAArF27Fs8999zwPsuWLcPatWsbrz0nUZ2NpId77rnHaW1tdRYuXOj86U9/ci688EJnxIgRzuuvv570qRHStJx99tnOyJEjnV/+8pdOsVgc/vnoo4+G97nhhhuckSNHOvfee6/z+9//3jnppJOctrY25/333x/e56yzznLa29udxx9/3Fm+fLlzyCGHOHvttZczMDCQxNcipCk5+OCDnQsuuGD4PdsuIenkueeec1paWpxrr73W6e3tdX70ox85n/jEJ5wf/vCHw/uw/RKSTqZMmeJsu+22zkMPPeS89tprzr333uuMGjXK+frXvz68D9svIenggw8+cHp6epyenh4HgPP973/f6enpcf785z87jmOvrR5xxBHOnnvu6Tz77LPOs88+6+yxxx7O0UcfHfv3jRqKusT5wQ9+4Gy//fbOBhts4IwfP9558sknkz4lQpoaANqfRYsWDe9TKpWcK6+80hkzZoyz4YYbOp///Oed3//+9xXH+fvf/+6ce+65zhZbbOFsvPHGztFHH+288cYbMX8bQpobVdRl2yUkvTz44IPOZz/7WWfDDTd0dt11V2fBggUVf2f7JSSdvP/++84FF1zgbLfdds5GG23k7LTTTs7s2bOdjz/+eHgftl9C0sETTzyhnetOmTLFcRx7bfVvf/ubc8oppzibbrqps+mmmzqnnHKK8+6778b0LeMj5ziOk4yPMCGEEEIIIYQQQgghhJCgMKcuIYQQQgghhBBCCCGEZAiKuoQQQgghhBBCCCGEEJIhKOoSQgghhBBCCCGEEEJIhqCoSwghhBBCCCGEEEIIIRmCoi4hhBBCCCGEEEIIIYRkCIq6hBBCCCGEEEIIIYQQkiEo6hJCCCGEEEIIIYQQQkiGoKhLCCGEEEIIIYQQQgghGYKiLiGEEEIIaRp22GEHzJs3b/h9LpfD/fffH+lnLl68GJtvvnmkn0EIIYQQQpoLirqEEEIIIaRpKRaLOPLII60dTxWNAeBf/uVf8PLLL1v7DEIIIYQQQlqSPgFCCCGEEEK8WL9+PTbYYINIjj1mzJhIjiuz8cYbY+ONN478cwghhBBCSPNAT11CCCGEEJIqJk+ejHPPPRcXX3wxRo0ahUMPPRQA8Kc//QlHHXUUNtlkE2y99dY47bTT8Pbbb1f937nnnovNN98cW265JS677DI4jmP8LDX9Ql9fH/71X/8VW2yxBUaMGIF9990Xy5YtAwC88sor+PKXv4ytt94am2yyCfbbbz88/vjjFZ//5z//GRdddBFyuRxyuRwAffqF2267DTvvvDM22GADfPrTn8Z//ud/Vp3XHXfcgeOPPx6f+MQnMG7cODzwwAOe122HHXbAddddh2nTpmHTTTfFdttthwULFlTs8/vf/x6HHHIINt54Y2y55ZaYOXMmPvzwQ8/jEkIIIYSQ9EFRlxBCCCGEpI677roLLS0tePrpp9HV1YVisYiDDz4Ye++9N37zm9/g4Ycfxl//+leceOKJ2v9btmwZbr75Ztx444244447fH3mhx9+iIMPPhh/+ctf8MADD+C3v/0tvv71r6NUKg3//aijjsLjjz+Onp4eHH744TjmmGPwxhtvAADuvfdetLe346qrrkKxWESxWNR+zn333YcLLrgA//Zv/4Y//OEP6OzsxNSpU/HEE09U7Dd37lyceOKJ+N3vfoejjjoKp5xyCt555x3P7/C9730P++67L3p6ejBr1iycffbZePHFFwEAH330EY444gh88pOfxK9//Wv85Cc/weOPP45zzz3X1/UhhBBCCCHpIed4uS4QQgghhBASM5MnT8batWvR09MzvO2KK67AsmXL8Mgjjwxv6+vrw6c+9Sm89NJL2GWXXTB58mS89dZb+OMf/zjsJXvJJZfggQcewJ/+9CcArjfrhRdeiAsvvBCA6xF733334bjjjsOCBQvw7//+73j99dexxRZb+DrX3XffHWefffawMKoeH3A9dS+88EK89957AIBJkyZh9913r/CiPfHEE7Fu3Tr87//+7/B5XXbZZbj66qsBAOvWrcOmm26Kn//85zjiiCO057LDDjvgc5/73LDXr+M4GDNmDObOnYuzzjoL3d3d+MY3voE333wTI0aMAAD8/Oc/xzHHHIO//OUv2HrrrX19Z0IIIYQQkjz01CWEEEIIIalj3333rXj//PPP44knnsAmm2wy/LPrrrsCcNMiCCZOnDgs6ALAAQccgN7eXgwODtb8zBUrVqCjo8Mo6K5btw5f//rX8ZnPfAabb745NtlkE7z44ovDnrp+eeGFFzBp0qSKbZMmTcILL7xQsW3PPfcc/n3EiBHYdNNN8dZbb3keW/6fXC6HMWPGDP/PCy+8gL322mtY0BWfWyqV8NJLLwX6DoQQQgghJFlYKI0QQgghhKQOWXgEgFKphGOOOQbf+ta3qvZta2uz8pm1ipl97WtfwyOPPILvfve7GDt2LDbeeGOccMIJWL9+feDPkoVnwPWqVbe1trZW/Y9IBWHC6390n2E6H0IIIYQQkm7oqUsIIYQQQlLP+PHj8cc//hE77LADxo4dW/EjC8BLly6t+L+lS5di3LhxKBQKNT9jzz33xIoVK4x5a3/1q1/hjDPOwPHHH4899tgDY8aMweuvv16xzwYbbFDTK3i33XbDkiVLKrY988wz2G233WqeYz185jOfwYoVK7Bu3brhbU8//TTy+Tx22WWXSD+bEEIIIYTYhaIuIYQQQghJPeeccw7eeecdnHTSSXjuuefw6quv4tFHH8W0adMqRNQ333wTF198MV566SXcfffduOWWW3DBBRf4+oyTTjoJY8aMwXHHHYenn34ar776Kn7605/i2WefBQCMHTsW9957L1asWIHf/va3OPnkk6s8Z3fYYQc89dRTWLVqFd5++23t53zta1/D4sWLcfvtt6O3txff//73ce+99+Lf//3fQ14df5xyyinYaKONMGXKFPzhD3/AE088gfPOOw+nnXbacD7dSy+9FKeffnqk50EIIYQQQuqHoi4hhBBCCEk922yzDZ5++mkMDg7i8MMPx2c/+1lccMEFGDlyJPL5skl7+umn4+9//zv2339/nHPOOTjvvPMwc+ZMX5+xwQYb4NFHH8Xo0aNx1FFHYY899sANN9ww7OV744034pOf/CQOPPBAHHPMMTj88MMxfvz4imNcddVVeP3117Hzzjtjq6220n7Occcdh5tuugnf+c53sPvuu6OrqwuLFi3C5MmTw10cn3ziE5/AI488gnfeeQf77bcfTjjhBPzTP/0Tbr311uF9isVi4BzBhBBCCCEkfnKO4zhJnwQhhBBCCCH1MnnyZOy9996YN29e0qdCCCGEEEJIpNBTlxBCCCGEEEIIIYQQQjIERV1CCCGEEEIIIYQQQgjJEEy/QAghhBBCCCGEEEIIIRmCnrqEEEIIIYQQQgghhBCSISjqEkIIIYQQQgghhBBCSIagqEsIIYQQQgghhBBCCCEZgqIuIYQQQgghhBBCCCGEZAiKuoQQQgghhBBCCCGEEJIhKOoSQgghhBBCCCGEEEJIhqCoSwghhBBCCCGEEEIIIRmCoi4hhBBCCCGEEEIIIYRkiP8PW+vDMv+r6wUAAAAASUVORK5CYII=", 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" ] @@ -158,15 +157,15 @@ "name": "stdout", "output_type": "stream", "text": [ - "True percentage change in proportions: 0.050000000000000044\n", - "10 replications of incidence counts in year 1: [398 403 399 407 424 389 378 406 397]\n" + "True percentage change in proportions: 9.333333333333336\n", + "10 replications of incidence counts in year 1: [34 33 37 30 28 34 22 21 40]\n" ] } ], "source": [ "# parameters for population sizes and prevalence\n", - "Y1_POP, Y1_PREV = 1000, 0.4\n", - "Y2_POP, Y2_PREV = 1050, (Y1_PREV + 0.02)\n", + "Y1_POP, Y1_PREV = 1000, 0.03\n", + "Y2_POP, Y2_PREV = Y1_POP + 3000, (Y1_PREV + 0.28)\n", "\n", "# simulate incidence from 2 years w/differing aforementioned parameters\n", "y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", @@ -182,6 +181,13 @@ "print(\"10 replications of incidence counts in year 1: \", y1_incid[0:9])" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Coverage" + ] + }, { "cell_type": "code", "execution_count": 5, @@ -191,12 +197,24 @@ "name": "stdout", "output_type": "stream", "text": [ - "CI coverage rate: 0.9433333333333334\n" + "CI coverage rate: 0.949\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/190171402.py:7: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/190171402.py:8: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/190171402.py:9: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" ] }, { "data": { - "image/png": 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", "text/plain": [ "
" ] @@ -207,26 +225,14 @@ ], "source": [ "# TODO: document coverage with graphs in the tails\n", - "coverages = np.zeros(NREP)\n", - "mu_txs = np.zeros(NREP)\n", - "ci_uppers = np.zeros(NREP)\n", - "ci_lowers = np.zeros(NREP)\n", - "y1_rep1 = y1_incid[0]\n", - "y2_rep1 = y2_incid[0]\n", + "coverages, mu_txs, ci_uppers, ci_lowers = np.zeros(NREP), np.zeros(NREP), np.zeros(NREP), np.zeros(NREP)\n", "\n", - "# print(transform_percentage_change_counts1(y1_rep1, Y1_POP, y2_rep1, Y2_POP))\n", + "# TODO: try to incorporate this into the testing suite\n", "# print(np.var(y1_incid, ddof=1))\n", - "# print(transform_percentage_change_counts2(y1_rep1, Y1_POP, y2_rep1, Y2_POP))\n", - "# raise KeyboardInterrupt\n", - "# TODO: ask Kelsey for function interface options\n", - "# TODO: get some slides together for high level issue and consequence descriptoin\n", "for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - " # print(delta_hat, sigma_hat)\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", - " # ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - " # ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", " coverages[i] = 1\n", "\n", @@ -243,22 +249,41 @@ "It seems as though the CI length is wider than it should be at more extreme values of prevalence (i.e. those near 0 or 1). This is probably due to the fact that when computing the CI, the standard error was divided by the sample size of the first year. Unclear as to what it should be instead, any suggestions?" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Coverage over varying true prevalence" + ] + }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/813324598.py:13: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/813324598.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/813324598.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ "[0.01 0.06 0.11 0.16 0.21 0.26 0.31 0.36 0.41 0.46 0.51 0.56 0.61 0.66\n", - " 0.71 0.76 0.81 0.86 0.91 0.96] [0.9466666666666667, 0.9466666666666667, 0.94, 0.9766666666666667, 0.9633333333333334, 0.96, 0.9466666666666667, 0.94, 0.95, 0.9466666666666667, 0.9766666666666667, 0.97, 0.9533333333333334, 0.9533333333333334, 0.9433333333333334, 0.9333333333333333, 0.9433333333333334, 0.95, 0.9466666666666667, 0.94]\n" + " 0.71 0.76 0.81 0.86 0.91 0.96] [0.924, 0.942, 0.952, 0.946, 0.946, 0.955, 0.949, 0.953, 0.952, 0.955, 0.949, 0.945, 0.935, 0.944, 0.949, 0.956, 0.949, 0.949, 0.949, 0.954]\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -270,36 +295,38 @@ "source": [ "y1_prevalences = np.arange(0.01, 1, 0.05)\n", "all_coverages = []\n", + "\n", "for y1_prev in y1_prevalences:\n", - " coverages = np.zeros(NREP)\n", - " mu_txs = np.zeros(NREP)\n", - " ci_uppers = np.zeros(NREP)\n", - " ci_lowers = np.zeros(NREP)\n", + " coverages, mu_txs, ci_uppers, ci_lowers = np.zeros(NREP), np.zeros(NREP), np.zeros(NREP), np.zeros(NREP)\n", " Y1_POP, Y1_PREV = 1000, y1_prev\n", - " Y2_POP, Y2_PREV = 1050, (Y1_PREV + 0.02)\n", + " Y2_POP, Y2_PREV = 1000, (Y1_PREV + 0.02)\n", " TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", "\n", - " # simulate incidence from 2 years w/differing aforementioned parameters\n", " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", " for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - " # print(delta_hat, sigma_hat)\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", - " # ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - " # ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", " coverages[i] = 1\n", " all_coverages.append((coverages == 1).sum() / NREP)\n", + "\n", "print(y1_prevalences, all_coverages)\n", - "plt.xlabel(\"y1 prevalence\")\n", + "plt.xlabel(\"prevalence in group X\")\n", "plt.ylabel(\"coverage percentage\")\n", - "plt.title(\"coverage vs y1 prevalence\")\n", + "plt.title(\"coverage vs prevalence in group X\")\n", "plt.scatter(y1_prevalences, all_coverages)\n", "plt.show()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Coverage over varying true delta" + ] + }, { "cell_type": "code", "execution_count": 7, @@ -309,12 +336,31 @@ "name": "stdout", "output_type": "stream", "text": [ - "[0. 1. 2. 3. 4. 5. 6. 7. 8.] [0.96, 0.9366666666666666, 0.9666666666666667, 0.94, 0.93, 0.9433333333333334, 0.9166666666666666, 0.96, 0.9533333333333334]\n" + "[-0.09 0.01 0.11 0.21 0.31 0.41 0.51 0.61 0.71 0.81]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3508961853.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3508961853.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3508961853.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[-0.9 0.1 1.1 2.1 3.1 4.1 5.1 6.1 7.1 8.1] [0.921, 0.945, 0.949, 0.953, 0.95, 0.941, 0.955, 0.946, 0.949, 0.951]\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -324,66 +370,190 @@ } ], "source": [ - "y2_prevalence_incs = np.arange(0, 0.9, 0.1)\n", - "# print(y2_prevalence_incs)\n", + "y2_prevalence_incs = np.arange(-0.09, 0.9, 0.1)\n", + "print(y2_prevalence_incs)\n", "all_coverages = []\n", + "\n", "for y2_prev_inc in y2_prevalence_incs:\n", - " coverages = np.zeros(NREP)\n", - " mu_txs = np.zeros(NREP)\n", - " ci_uppers = np.zeros(NREP)\n", - " ci_lowers = np.zeros(NREP)\n", + " coverages, mu_txs, ci_uppers, ci_lowers = np.zeros(NREP), np.zeros(NREP), np.zeros(NREP), np.zeros(NREP)\n", " Y1_POP, Y1_PREV = 1000, 0.1\n", - " Y2_POP, Y2_PREV = 1050, (Y1_PREV + y2_prev_inc)\n", + " Y2_POP, Y2_PREV = 1000, (Y1_PREV + y2_prev_inc)\n", " TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", "\n", - " # simulate incidence from 2 years w/differing aforementioned parameters\n", " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", " for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - " # print(delta_hat, sigma_hat)\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", - " # ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - " # ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", " coverages[i] = 1\n", " all_coverages.append((coverages == 1).sum() / NREP)\n", - "print(((y2_prevalence_incs + 0.1) / 0.1) - 1, all_coverages)\n", + "\n", + "print(((0.1 + y2_prevalence_incs) / 0.1) - 1, all_coverages)\n", "plt.xlabel(\"true delta\")\n", "plt.ylabel(\"coverage percentage\")\n", "plt.title(\"coverage vs true delta\")\n", - "plt.scatter(((y2_prevalence_incs + 0.1) / 0.1) - 1, all_coverages)\n", + "plt.scatter(((0.1 + y2_prevalence_incs) / 0.1) - 1, all_coverages)\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Coverage over varying difference in sample size" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3515000061.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3515000061.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3515000061.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[0.948, 0.956, 0.938, 0.944, 0.946, 0.946, 0.95, 0.956, 0.957, 0.954, 0.94, 0.949, 0.956, 0.966, 0.955, 0.952, 0.943, 0.952, 0.95, 0.953, 0.962]\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# perhaps plot on a log scale?\n", + "# is it better to scale by the larger population?\n", + "y2_population_incs = np.arange(-500, 10000, 500)\n", + "all_coverages = []\n", + "\n", + "for y2_pop_inc in y2_population_incs:\n", + " coverages, mu_txs, ci_uppers, ci_lowers = np.zeros(NREP), np.zeros(NREP), np.zeros(NREP), np.zeros(NREP)\n", + " Y1_POP, Y1_PREV = 1000, 0.1\n", + " Y2_POP, Y2_PREV = Y1_POP + y2_pop_inc, 0.3\n", + " TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", + "\n", + " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", + " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", + " for i in range(NREP):\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", + " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", + " coverages[i] = 1\n", + " all_coverages.append((coverages == 1).sum() / NREP)\n", + "\n", + "print(all_coverages)\n", + "plt.xlabel(\"group Y population increase\")\n", + "plt.ylabel(\"coverage percentage\")\n", + "plt.title(\"coverage vs group Y population increase\")\n", + "plt.scatter(y2_population_incs, all_coverages)\n", "plt.show()" ] }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Verifying scale invariance\n", + "what does scale invariance mean?" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [], + "source": [ + "# const = 3\n", + "# y1_incid = y1_incid\n", + "# y2_incid = y2_incid\n", + "\n", + "# # TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", + "\n", + "# coverages, mu_txs, ci_uppers, ci_lowers = np.zeros(NREP), np.zeros(NREP), np.zeros(NREP), np.zeros(NREP)\n", + "\n", + "# for i in range(NREP):\n", + "# mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "# ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", + "# ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", + "# if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", + "# coverages[i] = 1\n", + "\n", + "# coverage_pct = (coverages == 1).sum() / NREP\n", + "# print(\"CI coverage rate: \", coverage_pct)\n", + "\n", + "# plot_simulation(coverages, mu_txs, ci_lowers, ci_uppers, TRUE_DIFF, \"percent change transform\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "### Delta's distribution" + ] + }, { "cell_type": "code", - "execution_count": 10, + "execution_count": 15, "metadata": {}, "outputs": [ { "ename": "TypeError", - "evalue": "unsupported operand type(s) for /: 'list' and 'int'", + "evalue": "can only concatenate str (not \"float\") to str", "output_type": "error", "traceback": [ "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[10], line 1\u001b[0m\n\u001b[0;32m----> 1\u001b[0m \u001b[38;5;28mprint\u001b[39m(\u001b[43mtransform_percentage_change_counts1\u001b[49m\u001b[43m(\u001b[49m\u001b[43m[\u001b[49m\u001b[38;5;241;43m100\u001b[39;49m\u001b[43m]\u001b[49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1000\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m200\u001b[39;49m\u001b[43m,\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m1050\u001b[39;49m\u001b[43m)\u001b[49m)\n\u001b[1;32m 2\u001b[0m \u001b[38;5;28mprint\u001b[39m(transform_percentage_change_counts1(\u001b[38;5;241m300\u001b[39m, \u001b[38;5;241m1000\u001b[39m, \u001b[38;5;241m400\u001b[39m, \u001b[38;5;241m1050\u001b[39m))\n\u001b[1;32m 3\u001b[0m \u001b[38;5;28mprint\u001b[39m(transform_percentage_change_counts1(np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m100\u001b[39m, \u001b[38;5;241m300\u001b[39m]), np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m1000\u001b[39m, \u001b[38;5;241m1000\u001b[39m]), np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m200\u001b[39m, \u001b[38;5;241m400\u001b[39m]), np\u001b[38;5;241m.\u001b[39marray([\u001b[38;5;241m1050\u001b[39m, \u001b[38;5;241m1050\u001b[39m])))\n", - "File \u001b[0;32m~/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:325\u001b[0m, in \u001b[0;36mtransform_percentage_change_counts1\u001b[0;34m(c_x, n_x, c_y, n_y)\u001b[0m\n\u001b[1;32m 305\u001b[0m \u001b[38;5;250m\u001b[39m\u001b[38;5;124;03m\"\"\"alternative percentage change transformation with only counts provided\u001b[39;00m\n\u001b[1;32m 306\u001b[0m \n\u001b[1;32m 307\u001b[0m \u001b[38;5;124;03mParameters\u001b[39;00m\n\u001b[0;32m (...)\u001b[0m\n\u001b[1;32m 321\u001b[0m \u001b[38;5;124;03m standard errors in the transform space\u001b[39;00m\n\u001b[1;32m 322\u001b[0m \u001b[38;5;124;03m\"\"\"\u001b[39;00m\n\u001b[1;32m 324\u001b[0m mu_x \u001b[38;5;241m=\u001b[39m c_x \u001b[38;5;241m/\u001b[39m n_x\n\u001b[0;32m--> 325\u001b[0m mu_y \u001b[38;5;241m=\u001b[39m \u001b[43mc_y\u001b[49m\u001b[43m \u001b[49m\u001b[38;5;241;43m/\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mn_y\u001b[49m\n\u001b[1;32m 326\u001b[0m \u001b[38;5;66;03m# typical sample var calc\u001b[39;00m\n\u001b[1;32m 327\u001b[0m sigma2_x \u001b[38;5;241m=\u001b[39m (c_x \u001b[38;5;241m*\u001b[39m (\u001b[38;5;241m1\u001b[39m \u001b[38;5;241m-\u001b[39m mu_x) \u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m \u001b[38;5;241m2\u001b[39m \u001b[38;5;241m+\u001b[39m (n_x \u001b[38;5;241m-\u001b[39m c_x) \u001b[38;5;241m*\u001b[39m mu_x\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m*\u001b[39m\u001b[38;5;241m2\u001b[39m) \u001b[38;5;241m/\u001b[39m (n_x \u001b[38;5;241m-\u001b[39m \u001b[38;5;241m1\u001b[39m)\n", - "\u001b[0;31mTypeError\u001b[0m: unsupported operand type(s) for /: 'list' and 'int'" + "Cell \u001b[0;32mIn[15], line 8\u001b[0m\n\u001b[1;32m 6\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdelta_hat - delta\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 7\u001b[0m plt\u001b[38;5;241m.\u001b[39mylabel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcount\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 8\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mhistogram of centered delta_hat statistic, prevalences: (\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mY1_PREV\u001b[49m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m Y2_PREV \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 9\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow()\n", + "\u001b[0;31mTypeError\u001b[0m: can only concatenate str (not \"float\") to str" ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" } ], "source": [ - "print(transform_percentage_change_counts1([100], 1000, 200, 1050))\n", - "print(transform_percentage_change_counts1(300, 1000, 400, 1050))\n", - "print(transform_percentage_change_counts1(np.array([100, 300]), np.array([1000, 1000]), np.array([200, 400]), np.array([1050, 1050])))" + "# maybe it's more interesting to plot the distribution of delta_hat - delta since that's what is normal by delta method/CLT\n", + "TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", + "y1_prevs = y1_incid / Y1_POP\n", + "y2_prevs = y2_incid / Y2_POP\n", + "plt.hist(((y2_prevs / y1_prevs) - 1) - TRUE_DIFF, bins=10, edgecolor=\"black\")\n", + "plt.xlabel(\"delta_hat - delta\")\n", + "plt.ylabel(\"count\")\n", + "plt.title(\"histogram of centered delta_hat statistic, prevalences: (\" + str(Y1_PREV) + \", \" + str(Y2_PREV) + \")\")\n", + "plt.show()" ] }, { "cell_type": "code", - "execution_count": 9, + "execution_count": 11, "metadata": {}, "outputs": [ { diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index 1d69f83..f831114 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -243,10 +243,10 @@ def delta_method( return transformer.get_mu_trans(), transformer.get_sigma_trans() -def transform_percentage_change( +def transform_percentage_change_experiment( x_vec: npt.ArrayLike, y_vec: npt.ArrayLike ) -> Tuple[float, float]: - """bias corrected percentage change with transformed standard error + """percentage change with transformed standard error Parameters ---------- @@ -278,7 +278,6 @@ def transform_percentage_change( sigma_xy = cov[0, 1] delta_hat = (mu_y - mu_x) / mu_x - # TODO: add option instead of doing this by default bias_corr = (mu_y * sigma2_x) / ((n * mu_x) ** 2) p_hat = delta_hat + bias_corr @@ -295,104 +294,43 @@ def handle_input_pct(c_x, n_x, c_y, n_y): return np.array([c_x]), np.array([n_x]), np.array([c_y]), np.array([n_y]) -def transform_percentage_change_counts1( - c_x: np.ndarray, - n_x: np.ndarray, - c_y: np.ndarray, - n_y: np.ndarray, +def transform_percentage_change( + c_x: npt.ArrayLike, + n_x: npt.ArrayLike, + c_y: npt.ArrayLike, + n_y: npt.ArrayLike, ) -> float: - """alternative percentage change transformation with only counts provided + """percentage change variance transformation for incidence data Parameters ---------- - c_x : int - raw count in one sample (e.g. of incidence) - n_x : int - sample size - c_y : int - raw count in second sample (e.g. of incidence) - n_y : int - sample size + c_x : npt.ArrayLike + incidence counts in first sample + n_x : npt.ArrayLike + sample size(s) of first sample + c_y : npt.ArrayLike + incidence counts in second sample + n_y : npt.ArrayLike + sample size(s) of second sample Returns ------- - sigma_trans: array_like - standard errors in the transform space + (delta_hat, sigma_tx) + sample percentage change of prevalence and corresponding transformed standard error """ c_x, n_x, c_y, n_y = handle_input_pct(c_x, n_x, c_y, n_y) mu_x = c_x / n_x mu_y = c_y / n_y - # typical sample var calc sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) - # var for p assuming binomial model - # sigma2_x = mu_x * (1 - mu_x) / n_x - # sigma2_y = mu_y * (1 - mu_y) / n_y - - # var for p assuming beta prior - # sigma2_x = ( - # (mu_x * c_x + 1) * (c_x - mu_x * c_x + 1) / ((c_x + 2) ** 2 * (c_x + 3)) - # ) - # sigma2_y = ( - # (mu_y * c_y + 1) * (c_y - mu_y * c_y + 1) / ((c_y + 2) ** 2 * (c_y + 3)) - # ) - - sigma_trans = (sigma2_y / mu_x**2) + (mu_y**2 * sigma2_x / (mu_x**4)) - # sigma_trans = (sigma2_y / c_x**2) + (c_y**2 * sigma2_x / (c_x**4)) - # print(sigma2_x, sigma2_y) - - return ((mu_y / mu_x) - 1), np.sqrt(sigma_trans) - - -def transform_percentage_change_counts2( - c_x: int, n_x: int, c_y: int, n_y: int -) -> float: - """alternative percentage change transformation with only counts provided - - Parameters - ---------- - c_x : int - raw count in one sample (e.g. of incidence) - n_x : int - sample size - c_y : int - raw count in second sample (e.g. of incidence) - n_y : int - sample size + # ruff makes this really ugly for some reason + sigma2_tx = (sigma2_y / (n_y * mu_x**2)) + ( + mu_y**2 * sigma2_x / (n_x * mu_x**4) + ) - Returns - ------- - sigma_trans: array_like - standard errors in the transform space - """ - mu_x = c_x / n_x - mu_y = c_y / n_y - rat = mu_y / (mu_x + mu_y) - Rl = np.log(rat / (1 - rat)) - # variance of p assuming binomial model, somewhat reasonable coverage w/o scaling CI - sigma2_x = mu_x * (1 - mu_x) / n_x - sigma2_y = mu_y * (1 - mu_y) / n_y - - # standard sample var calculation, extreme overcoverage - # sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) - # sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) - - # assumed beta prior sample var calculation, extreme overcoverage - # sigma2_x = ( - # (mu_x * c_x + 1) * (c_x - mu_x * c_x + 1) / ((c_x + 2) ** 2 * (c_x + 3)) - # ) - # sigma2_y = ( - # (mu_y * c_y + 1) * (c_y - mu_y * c_y + 1) / ((c_y + 2) ** 2 * (c_y + 3)) - # ) - - # sigma_trans = (sigma2_y / mu_x**2) + (mu_y**2 * sigma2_x / (mu_x**4)) - # sigma_trans = (sigma2_y / c_x**2) + (c_y**2 * sigma2_x / (c_x**4)) - sigma2_Rl = (sigma2_x / (mu_x**2)) + (sigma2_y / (mu_y**2)) - sigma_tx = sigma2_Rl * np.exp(2 * Rl) - - return ((mu_y / mu_x) - 1), np.sqrt(sigma_tx) + return ((mu_y / mu_x) - 1), np.sqrt(sigma2_tx) def _check_input( diff --git a/tests/test_transforms.py b/tests/test_transforms.py index 2de2e86..97ad940 100644 --- a/tests/test_transforms.py +++ b/tests/test_transforms.py @@ -8,7 +8,7 @@ delta_method, transform_data, transform_percentage_change, - transform_percentage_change_counts1, + transform_percentage_change_experiment, ) TRANSFORM_DICT = { @@ -98,17 +98,17 @@ def test_percentage_change(): x = np.random.normal(1, 0.1, 1000) y = np.random.normal(1.1, 0.1, 1000) z = np.random.normal(1, 0.1, 1001) - p, sigma = transform_percentage_change(x, y) + p, sigma = transform_percentage_change_experiment(x, y) assert 0 < p and p < 1 assert 0 < sigma and sigma < 1 with pytest.raises(ValueError): - transform_percentage_change(x, z) + transform_percentage_change_experiment(x, z) def test_percentage_change_counts(): x = np.random.choice([0, 1], size=1000, p=[0.1, 0.9]) y = np.random.choice([0, 1], size=1100, p=[0.2, 0.8]) - mu, sigma = transform_percentage_change_counts1( + mu, sigma = transform_percentage_change( (x == 1).sum(), len(x), (y == 1).sum(), len(y) ) assert -1 <= mu and mu < np.inf @@ -120,7 +120,7 @@ def test_percentage_change_input(): c_x, n_x = 100, 1000 c_y, n_y = 200, 1050 # with pytest.raises(TypeError): - transform_percentage_change_counts1(c_x, n_x, c_y, n_y) + transform_percentage_change(c_x, n_x, c_y, n_y) # base list input c_x = [100, 200] @@ -128,11 +128,9 @@ def test_percentage_change_input(): c_y = [300, 400] n_y = [1050, 1050] # with pytest.raises(TypeError): - transform_percentage_change_counts1(c_x, n_x, c_y, n_y) + transform_percentage_change(c_x, n_x, c_y, n_y) # dataframe input df = pd.DataFrame({"c_x": c_x, "n_x": n_x, "c_y": c_y, "n_y": n_y}) # with pytest.raises(TypeError): - transform_percentage_change_counts1( - df["c_x"], df["n_x"], df["c_y"], df["n_y"] - ) + transform_percentage_change(df["c_x"], df["n_x"], df["c_y"], df["n_y"]) From 2e5ddc826f8deb0815a5263c0613622bf152b4cf Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Tue, 9 Jul 2024 16:29:01 -0700 Subject: [PATCH 25/32] change univariate transformation class to be callable, implement c2fun functions instead of hardcoding in aforementioned class, remove bias correction in experiment percentage change, clean up simulation .ipynb file --- simulations.ipynb | 136 ++++++++------------------------------- src/distrx/transforms.py | 91 +++++++++----------------- 2 files changed, 59 insertions(+), 168 deletions(-) diff --git a/simulations.ipynb b/simulations.ipynb index 8e76acc..34df414 100644 --- a/simulations.ipynb +++ b/simulations.ipynb @@ -18,9 +18,7 @@ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from distrx.transforms import (\n", - " delta_method,\n", " transform_data,\n", - " transform_percentage_change_experiment,\n", " transform_percentage_change\n", ")\n", "NREP = 1000\n", @@ -74,11 +72,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/1300529156.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/1300529156.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " mu_txs[i], sigma_tx = transform_data([x_bar], [sigma_hat], \"log\", \"delta\")\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/1300529156.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/1300529156.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_tx / np.sqrt(N)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/1300529156.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/1300529156.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_tx / np.sqrt(N)\n" ] }, @@ -86,12 +84,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "CI coverage rate: 0.948\n" + "CI coverage rate: 0.947\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -158,7 +156,7 @@ "output_type": "stream", "text": [ "True percentage change in proportions: 9.333333333333336\n", - "10 replications of incidence counts in year 1: [34 33 37 30 28 34 22 21 40]\n" + "10 replications of incidence counts in year 1: [35 23 29 30 24 33 20 38 29]\n" ] } ], @@ -197,24 +195,24 @@ "name": "stdout", "output_type": "stream", "text": [ - "CI coverage rate: 0.949\n" + "CI coverage rate: 0.953\n" ] }, { "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/190171402.py:7: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/190171402.py:7: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/190171402.py:8: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/190171402.py:8: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/190171402.py:9: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/190171402.py:9: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" ] }, { "data": { - "image/png": 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tWyzLsqwPPvjAAmA9//zzvj+7uLjYGjp0aML0nj17Wj179qx6PmjQIOuII45wfK/Zs2dbAKx169bFvQ8Aa9myZXGvPfjgg62+fftWPf/LX/5i5eXlWZ999lnc6/r27WsBsBYvXuzps5cvX258TYsWLayDDjqo6vmBBx5odenSxdqzZ0/c6wYNGmQVFRVVbTeLFy9OmIfLL7/c8tIsq6iosPbs2WM99thjVkFBgfXzzz97/h7icz/99FPLsizrmGOOsYYNG2ZZlmV17tw5bv089dRTFgDr2WefjXu/5cuXWwCsKVOmVE1T/1cQnzdgwIC46U8//bQFwHrvvfcsy7KsX375xapTp07C67777jursLDQOu+886q+e6tWrawjjzzSqqysrHrdt99+a9WsWdMqLi52XBaWZVkvvfSS1bRp06r9bZ999rH+9Kc/WS+88ELc69atW1f1Gt3jrbfecvwc8d3/7//+r2qamP9DDz007hiyfft2q3nz5tZxxx1XNU3sk7feeqvrd7Ks2HoeMmRI3PR33nnHAmDdcccdlmVZ1o4dO6wmTZpYp556atzrKioqrMMPP9w69thjXefhzTfftABYY8eONc7Pd999Z9WoUcO68sor46Zv377datmypfXnP/+5atrQoUMtANbTTz8d99oBAwZYBxxwQNXzLVu2WACs8ePHOyyJmIkTJ1oArEWLFhlfI9bzoYceau3du7dq+vvvv28BsJ566inj/+7du9f67bffrHr16lkPPvhg1XSxLkaPHh33+smTJ1sArLKyMsuyLOuzzz6zAFg33XRT3OvEvicfR0tKSqz69etb69evj3vtvffeawFIOM6p3PbRHj16OP6/+L579uyxTj755LjtzOsy/PHHHy0A1gMPPOD4OUOHDrXq1asXN23hwoUWAGvy5Mlx0+fPn28BsKZNm1Y1rbi42CooKLC++uor7XdVt/1rrrnGAmBdddVVcdNPP/10q0mTJo7zSkREFCSWOCAiIvLoyiuvxNdff40rrrgC//vf/7BhwwZceumlVV1c5Qy+a6+9Ftdeey369OmDPn364I477sBjjz2GL7/8EtOnT696XYsWLbBs2TKsW7cO//vf//DSSy+hoKAAJSUlGDduHDp16oRnn30WnTt3RpMmTTBo0CBs2LAhrd+zY8eO+MMf/oCbbroJjz76KD7//PPAP+PYY4/FRx99hNGjR+PVV1/1VQO1ZcuWOPbYY+OmHXbYYXFdjZcsWYJDDjkkLksPiHX1D4JlWVW/r1mzBl9++SXOP/98AMDevXurHgMGDEBZWZm2W78Xq1atwuDBg7HPPvugoKAANWvWxEUXXYSKigp8/fXXnt+nZ8+e2G+//TBr1ix88sknWL58ubG8wYsvvojGjRvj1FNPjfsuRxxxBFq2bOmrRMTgwYPjnh922GEAULW+3nvvPezcuTMhw7ht27bo3bt3Vdf7r776Ct9//z3OO+885OXlVb2uuLgYxx13nKd5GTBgAL777js899xzuOGGG9C5c2c8//zzGDx4sDa7+uqrr8by5csTHsmMLC/m/8ILL4w7VtSvXx9nnnkmli5dit9//z3uf84880xfnyG2P+G4445DcXExFi9eDAB499138fPPP2Po0KFx67WyshL9+vXD8uXLEzJ11Xl45ZVXAACXX365cT5effVV7N27FxdddFHc59SuXRs9e/ZM2H7y8vISMv7VfdqvV155Bfvvv7+ngfwGDhxYlc0tPhtA3Of/9ttvuOmmm9CxY0fUqFEDNWrUQP369bFjxw5tKQ637X7JkiUAgD//+c9xrzvrrLMSMrRffPFFnHTSSWjVqlXc8uzfv3/ceyXLtJ09+uijOPLII1G7dm3UqFEDNWvWxH//+1/t93Vbhk2aNMF+++2He+65B/fffz9WrVqlrfusI7Jp1WPEn/70J9SrVy+hPMdhhx1mHJRv0KBBcc8POuigqvlXp//8888sc0BERBnDAC0REZFHF198Me6++27885//RJs2bdCuXTt8/vnnuOGGGwAArVu3dvz/IUOGoF69egl1+URNwFatWgEA7r77buTn5+Mvf/lLVdDvvvvuw8aNG9G0adOqAcRM2rVrhy1btnjqEq3TqFEjLFmyBEcccQRuvvlmdO7cGa1atcL48eN91T11MmbMGNx7771YunQp+vfvj3322Qcnn3wyPvjgA9f/3WeffRKmFRYWYufOnVXPf/rpJ+3gXUEN6LVjxw789NNPVets8+bNAIAbbrgBNWvWjHuMHj0aAPDjjz/6/pzvvvsOJ554Iv73v//hwQcfxFtvvYXly5dX1ayVv7ObvLw8DB8+HI8//jgeffRR7L///jjxxBO1r928eTN+/fVX1KpVK+H7bNq0ydd3UdeX6Ios5t2pNmyrVq2q/i5+tmzZMuF1umkmderUwemnn4577rkHS5YswZo1a3DwwQfjkUcewWeffRb32jZt2uDoo49OeCQzsrzb96ysrMQvv/wSN91UL9fEtGzEZ4vt9KyzzkpYr3/7299gWRZ+/vlnx3nYsmULCgoKHJe5+Jxjjjkm4XPmz5+fsP3UrVsXtWvXjptWWFhYVY87GVu2bDHW4Fa5baMAcN555+Hhhx/GJZdcgldffRXvv/8+li9fjmbNmmn3Q6/bvXpMqlGjRsL/bt68Gf/+978TlmXnzp0BJHdskem2s/vvvx+XXXYZunbtimeffRZLly7F8uXL0a9fv6S+b15eHv773/+ib9++mDx5Mo488kg0a9YMV111lWvpnJ9++gk1atRIKGmRl5cXt307fR9BLjEEALVq1XKcnso2SERE5Adr0BIREflw00034ZprrsHq1avRoEEDFBcXo6SkBPXq1cNRRx3l+v+WZTnWyvzqq69w99134z//+Q9q1qyJ//znP+jcuTP69esHALjuuutw+OGH47fffjMGifr27YvXXnsN//73v3HOOeck9T0PPfRQzJs3D5Zl4eOPP8acOXMwceJE1KlTB3/961+N/1e7du2qgX1kP/74Y1yNxho1auC6667Dddddh19//RX/+c9/cPPNN6Nv377YsGFDyiPF77PPPlVBItmmTZtSel/hpZdeQkVFRVUdRvHdxowZgzPOOEP7PwcccIDvz3n++eexY8cOLFiwAMXFxVXTxaA6fg0bNgy33norHn30Udx5553G14mBjRYuXKj9e4MGDZL6fB0R2NENsvf9999XLVvxOt06TGW9tmvXDqNGjcI111yDzz77rCroFTS375mfn48//OEPcdPlTGEvTMumY8eOAGLb6UMPPYRu3bpp30MNGKrz0KxZM1RUVGDTpk3GQJj4nGeeeSZuu82kZs2auQ5q6NXWrVvx4osvYvz48XHHv927dycEtL0S28PmzZvjbu7t3bs3IeDYtGlTHHbYYcZ9VtwoSpZuO3v88cfRq1cvTJ06NW56KnXIi4uLMXPmTADA119/jaeffhoTJkxAeXk5Hn30UeP/7bPPPti7dy+2bNkSF6S1LAubNm3CMccc4/p9iIiIoo4ZtERERD4VFhbikEMOQXFxMb777jvMnz8fI0eORJ06dRz/75lnnsHvv/9uDIwAQElJCYYNG1bVZduyrLhMWNHdUu5erxoxYgRatmyJG2+8Ef/73/+0r1mwYIHjvAp5eXk4/PDD8fe//x2NGzfGypUrHV+/77774uOPP46b9vXXXzt272/cuDHOOussXH755fj555/jBhpKVs+ePfHpp58mlGeYN29eyu/93Xff4YYbbkCjRo2qBtw64IAD0KlTJ3z00UfajMujjz7aMaipy9gDYoEGeQAcy7LiymT40bp1a/zlL3/BqaeeiqFDhxpfN2jQIPz000+oqKjQfhc52KxmL/vVvXt31KlTB48//njc9I0bN+L111+vGrTqgAMOQFFREZ566qm47X/9+vV49913XT9n+/btxu7Kost2qoEuJwcccABat26NJ598Mm7+d+zYgWeffRbdu3dP+cbEE088Eff83Xffxfr166tuJBx//PFo3LgxPv/8c+N2KjIHTUS3ejVwJ+vbty9q1KiBb775xvg5fpn2Eaf5/Prrr+MG5UpWXl4eLMtKGFxrxowZqKioSOo9e/ToAQCYP39+3PRnnnkmYWC6QYMG4dNPP8V+++2nXZZu220y+2heXl7C9/3444/jBjJMxf77749x48bh0EMPdT2viGOAeox49tlnsWPHjoSB7YiIiLIRM2iJiIg8+vTTT/Hss8/i6KOPRmFhIT766CPcfffd6NSpE26//faq161fvx7nnXcezjnnHHTs2BF5eXlYsmQJHnjgAXTu3LlqBHLVrFmz8PXXX+Nf//pX1bSTTz4Z1157LW699VaceOKJGD9+PI4//njHYF+jRo3wr3/9C4MGDUKXLl1wxRVXoHv37qhVqxZWr16Nxx9/HB999JEx0/PFF1/ElClTcPrpp6NDhw6wLAsLFizAr7/+ij59+jguowsvvBAXXHABRo8ejTPPPBPr16/H5MmTE7qmnnrqqTjkkENw9NFHo1mzZli/fj0eeOABFBcXo1OnTo6f4cU111yDWbNmoX///pg4cSJatGiBJ598El9++SUAOGYxyz799NOqeo8//PAD3nrrLcyePRsFBQV47rnn4r5XaWkp+vfvj759+2LYsGFo3bo1fv75Z3zxxRdYuXIl/u///s/4OYceeigA4G9/+xv69++PgoICHHbYYejTpw9q1aqFc889FzfeeCN27dqFqVOnJnSF9+Puu+92fc0555yDJ554AgMGDMDVV1+NY489FjVr1sTGjRuxePFinHbaaRgyZEjVvM+bNw/z589Hhw4dULt27arv40Xjxo1xyy234Oabb8ZFF12Ec889Fz/99BNuu+021K5dG+PHjwdgr7Pbb78dl1xyCYYMGYKRI0fi119/xYQJEzyVOPjqq6/Qt29fnHPOOejZsyeKiorwyy+/4KWXXsK0adPQq1evhFq23333XUJJEsDOztxvv/08f0cx/5MnT8b555+PQYMGoaSkBLt378Y999yDX3/91dN6cfPBBx/gkksuwZ/+9Cds2LABY8eORevWravKbNSvXx8PPfQQhg4dip9//hlnnXUWmjdvji1btuCjjz7Cli1bHAOvAHDiiSfiwgsvxB133IHNmzdj0KBBKCwsxKpVq1C3bl1ceeWV2HfffTFx4kSMHTsWa9euRb9+/fCHP/wBmzdvxvvvv4969erhtttu8/XdRI+Ff/3rXzj55JPRpEkTNG3aFPvuu6/29ddccw3mz5+P0047DX/9619x7LHHYufOnViyZAkGDRqEk046yfNnN2zYED169MA999xT9ZlLlizBzJkz0bhxY1/fQ+jcuTPOPfdc3HfffSgoKEDv3r3x2Wef4b777kOjRo3ijlETJ07EokWLcNxxx+Gqq67CAQccgF27duHbb7/Fyy+/jEcffdSxnEMy++igQYNw++23Y/z48ejZsye++uorTJw4Ee3bt08IIHvx8ccf44orrsCf/vQndOrUCbVq1cLrr7+Ojz/+2LFXBgD06dMHffv2xU033YRt27bh+OOPx8cff4zx48ejS5cuuPDCC33PDxERUeSEMzYZERFR9vnqq6+sHj16WE2aNLFq1apldezY0Ro3bpz122+/xb3u559/toYMGWLtu+++Vp06daxatWpZnTp1sm688Ubr119/1b73Dz/8YDVp0iRu1HfhiSeesDp16mTVr1/f6tOnj7V27VpP87tp0ybrpptusjp37mzVrVvXKiwstDp27GiVlJRYn3zySdXrxGjtW7ZssSzLsr788kvr3HPPtfbbbz+rTp06VqNGjaxjjz3WmjNnjutnVlZWWpMnT7Y6dOhg1a5d2zr66KOt119/3erZs2fcKOL33Xefddxxx1lNmza1atWqZbVr184aMWKE9e2331a9RoyGvm7duqppPXv2tDp37pzwuUOHDrWKi4vjpn366afWH//4R6t27dpWkyZNrBEjRlhz5861AFgfffSR4/cQny0etWrVspo3b2717NnTuuuuu6wffvhB+38fffSR9ec//9lq3ry5VbNmTatly5ZW7969rUcffbTqNWI08cWLF1dN2717t3XJJZdYzZo1s/Ly8uK+97///W/r8MMPt2rXrm21bt3a+stf/mK98sorCe/h9D2WL1/u+DrdKO979uyx7r333qrPrl+/vnXggQdaJSUl1urVq6te9+2331qnnHKK1aBBAwtA1XoQ31PdpsWo77Nnz46bPmPGDOuwww6zatWqZTVq1Mg67bTTtKPTz5gxw+rUqZNVq1Yta//997dmzZqlXf+qX375xbrjjjus3r17W61bt7Zq1apl1atXzzriiCOsO+64w/r9998T5tH0OP/88x0/y/TdLcuynn/+eatr165W7dq1rXr16lknn3yy9c4778S9Rt0n3Yj1/Nprr1kXXnih1bhxY6tOnTrWgAED4taVsGTJEmvgwIFWkyZNrJo1a1qtW7e2Bg4cGDe/TvNQUVFh/f3vf7cOOeSQqvXVvXt369///nfCdz3ppJOshg0bWoWFhVZxcbF11llnWf/5z3+qXjN06FCrXr16CZ8hPl/2n//8x+rSpYtVWFhoAbCGDh3quFx++eUX6+qrr7batWtn1axZ02revLk1cOBA68svv7QsK7ae77nnnoT/BWCNHz++6vnGjRutM8880/rDH/5gNWjQwOrXr5/16aefWsXFxXHzYdrndPv9rl27rOuuu85q3ry5Vbt2batbt27We++9ZzVq1Mi69tpr4/5/y5Yt1lVXXWW1b9/eqlmzptWkSRPrqKOOssaOHZtwDlL53Uctyz4m3XDDDVbr1q2t2rVrW0ceeaT1/PPPJ+xrXpfh5s2brWHDhlkHHnigVa9ePat+/frWYYcdZv3973+39u7dW/U/pu1h586d1k033WQVFxdbNWvWtIqKiqzLLrvM+uWXX+JeV1xcbA0cODDh/03f1bS+/O6DREREqcqzLIc+kkREREQ5ZNSoUXjqqafw008/uXblJsoWc+bMwfDhw7F8+fKkygdQdLz77rs4/vjj8cQTT+C8884Le3aIiIgoQ1jigIiIiHLSxIkT0apVK3To0AG//fYbXnzxRcyYMQPjxo1jcJaIQrdo0SK89957OOqoo1CnTp24sjmmEjRERESUmxigJSIiopxUs2ZN3HPPPdi4cSP27t2LTp064f7778fVV18d9qwREaFhw4Z47bXX8MADD2D79u1o2rQp+vfvj0mTJqF27dphzx4RERFlEEscEBEREREREREREYXE2xDGRERERERERERERBQ4BmiJiIiIiIiIiIiIQsIALREREREREREREVFIcn6QsMrKSnz//fdo0KAB8vLywp4dIiIiIiIiIiIiqgYsy8L27dvRqlUr5Oeb82RzPkD7/fffo23btmHPBhEREREREREREVVDGzZsQJs2bYx/z/kAbYMGDQDYC6Jhw4Yhzw0RERERERERERFVB9u2bUPbtm2r4pMmOR+gFWUNGjZsyAAtERERERERERERZZRb2VUOEkZEREREREREREQUEgZoiYiIiIiIiIiIiELCAC0RERERERERERFRSHK+Bi0REREREREREVFYKioqsGfPnrBng9KgoKAANWrUcK0x64YBWiIiIiIiIiIiojT47bffsHHjRliWFfasUJrUrVsXRUVFqFWrVtLvwQAtERERERERERFRwCoqKrBx40bUrVsXzZo1SznLkqLFsiyUl5djy5YtWLduHTp16oT8/OSqyTJAS0REREREREREFLA9e/bAsiw0a9YMderUCXt2KA3q1KmDmjVrYv369SgvL0ft2rWTeh8OEkZERERERERERJQmzJzNbclmzca9RwDzQURERERERERERERJYICWiIiIiIiIiIiIKCQM0BIRERERERERERGFhAFaIiIiIiIiIiIiQl5enuNj2LBhGZuXYcOGIS8vD5deemnC30aPHp3x+UknBmiJiIiIiIiIiIgIZWVlVY8HHngADRs2jJv24IMPxr1+z549aZ2ftm3bYt68edi5c2fVtF27duGpp55Cu3bt0vrZmcQALRERERERERERUYaUl5cbH3v37vX8WjU4anqdHy1btqx6NGrUCHl5eVXPd+3ahcaNG+Ppp59Gr169ULt2bTz++OOYMGECjjjiiLj3eeCBB7DvvvvGTZs9ezYOOugg1K5dGwceeCCmTJniOj9HHnkk2rVrhwULFlRNW7BgAdq2bYsuXbrEvdayLEyePBkdOnRAnTp1cPjhh+OZZ56p+ntFRQVGjBiB9u3bo06dOjjggAMSAs7Dhg3D6aefjnvvvRdFRUXYZ599cPnll6c9EF0jre9OREREREREREREVSZNmmT8W6dOnXDeeedVPb/33nuNwcHi4uK4Lv4PPvggfv/994TXjR8/PvmZ1bjppptw3333Yfbs2SgsLMS0adNc/2f69OkYP348Hn74YXTp0gWrVq3CyJEjUa9ePQwdOtTxf4cPH47Zs2fj/PPPBwDMmjULF198Md544424140bNw4LFizA1KlT0alTJ7z55pu44IIL0KxZM/Ts2ROVlZVo06YNnn76aTRt2hTvvvsuRo0ahaKiIvz5z3+uep/FixejqKgIixcvxpo1a3D22WfjiCOOwMiRI/0vLI8YoCUiIiIiIiIiIiJPrrnmGpxxxhm+/uf222/HfffdV/V/7du3x+eff47S0lLXAO2FF16IMWPG4Ntvv0VeXh7eeecdzJs3Ly5Au2PHDtx///14/fXX0b17dwBAhw4d8Pbbb6O0tBQ9e/ZEzZo1cdttt1X9T/v27fHuu+/i6aefjgvQ/uEPf8DDDz+MgoICHHjggRg4cCD++9//MkBLRERERERERESUC8aMGWP8W35+fDXSG264wfjavLy8uOdXX311ajPm0dFHH+3r9Vu2bMGGDRswYsSIuCDn3r170ahRI9f/b9q0KQYOHIi5c+fCsiwMHDgQTZs2jXvN559/jl27dqFPnz5x08vLy+NKITz66KOYMWMG1q9fj507d6K8vDyhPEPnzp1RUFBQ9byoqAiffPKJn6/sGwO0RERE6VZWZj9URUX2g4iIiIiIqo1atWqF/tpU1KtXL+55fn4+LMuKmyaXZaisrARglzno2rVr3OvkQKiTiy++GFdccQUA4JFHHkn4u/iMl156Ca1bt477W2FhIQDg6aefxrXXXov77rsP3bt3R4MGDXDPPfdg2bJlca+vWbNm3PO8vLyq908XBmiJiIjSrbQUkLrSVBk/HpgwIeOzQ0REREREFJRmzZph06ZNsCyrKqv3ww8/rPp7ixYt0Lp1a6xdu7aqjqxf/fr1qxrwrG/fvgl/P/jgg1FYWIjvvvsOPXv21L7HW2+9heOOOw6jR4+umvbNN98kNT9BY4CWiIgo3UpKgMGDgb17ga5dgWXLgBo1mD1LRERERERZr1evXtiyZQsmT56Ms846CwsXLsQrr7yChg0bVr1mwoQJuOqqq9CwYUP0798fu3fvxgcffIBffvkF1113netnFBQU4Isvvqj6XdWgQQPccMMNuPbaa1FZWYkTTjgB27Ztw7vvvov69etj6NCh6NixIx577DG8+uqraN++Pf75z39i+fLlaN++fXALI0n57i8hIiKilBQVAUceCYjaR1262M8ZoCUiIiIioix30EEHYcqUKXjkkUdw+OGH4/3330+onXvJJZdgxowZmDNnDg499FD07NkTc+bM8RUcbdiwYVzQV3X77bfj1ltvxaRJk3DQQQehb9+++Pe//131GZdeeinOOOMMnH322ejatSt++umnuGzaMOVZapGIHLNt2zY0atQIW7dudVyJREREabdnD1CrFlBeDih1jYiIiIiIKLfs2rUL69atQ/v27VG7du2wZ4fSxGk9e41LMoOWiIiIiIiIiIiIKCQM0BIRERERERERERGFhAFaIiIiIiIiIiIiopAwQEtEREREREREREQUEgZoiYiIiIiIiIiI0sSyrLBngdIoiPXLAC0REREREREREVHACgoKAADl5eUhzwml0++//w4AqFmzZtLvUSOomSEiIiIiIiIiIiJbjRo1ULduXWzZsgU1a9ZEfj7zJHOJZVn4/fff8cMPP6Bx48ZVAflkMEBLREREREREREQUsLy8PBQVFWHdunVYv3592LNDadK4cWO0bNkypfcINUA7depUTJ06Fd9++y0AoHPnzrj11lvRv39/AMCwYcMwd+7cuP/p2rUrli5dmulZJSIiIiIiIiIi8qVWrVro1KkTyxzkqJo1a6aUOSuEGqBt06YN7r77bnTs2BEAMHfuXJx22mlYtWoVOnfuDADo168fZs+eXfU/tWrVCmVeiYiIiIiIiIiI/MrPz0ft2rXDng2KsFADtKeeemrc8zvvvBNTp07F0qVLqwK0hYWFvtKEd+/ejd27d1c937ZtWzAzS0RERERERERERBSwyFQnrqiowLx587Bjxw507969avobb7yB5s2bY//998fIkSPxww8/OL7PpEmT0KhRo6pH27Zt0z3rREREREREREREREnJsyzLCnMGPvnkE3Tv3h27du1C/fr18eSTT2LAgAEAgPnz56N+/fooLi7GunXrcMstt2Dv3r1YsWIFCgsLte+ny6Bt27Yttm7dioYNG2bkOxEREWnt2QPUqgWUlwM1a4Y9N0RERERERJRG27ZtQ6NGjVzjkqEHaMvLy/Hdd9/h119/xbPPPosZM2ZgyZIlOPjggxNeW1ZWhuLiYsybNw9nnHGGp/f3uiCIiIjSjgFaIiIiIiKiasNrXDLUGrSAPeiXGCTs6KOPxvLly/Hggw+itLQ04bVFRUUoLi7G6tWrMz2bRERERERERERERIGLTA1awbKsuBIFsp9++gkbNmxAUVFRhueKiIiIiIiIiIiIKHihZtDefPPN6N+/P9q2bYvt27dj3rx5eOONN7Bw4UL89ttvmDBhAs4880wUFRXh22+/xc0334ymTZtiyJAhYc42ERERERERERERUSBCDdBu3rwZF154IcrKytCoUSMcdthhWLhwIfr06YOdO3fik08+wWOPPYZff/0VRUVFOOmkkzB//nw0aNAgzNkmIiIiIiIiIiIiCkTog4SlGwcJIyKiyOAgYURERERERNWG17hk5GrQEhEREREREREREVUXDNASERERERERERERhYQBWiIiIiIiIiIiIqKQMEBLREREREREREREFBIGaImIiIiIiIiIiIhCwgAtERERERERERERUUgYoCUiIiIiIiIiIiIKCQO0RERERERERERERCFhgJaIiIiIiIiIiIgoJAzQEhEREREREREREYWEAVoiIiIiIiIiIiKikDBAS0RERERERERERBQSBmiJiIiIiIiIiIiIQsIALREREREREREREVFIGKAlIiIiIiIiIiIiCgkDtEREREREREREREQhYYCWiIiIiIiIiIiIKCQM0BIRERERERERERGFhAFaIiIiIiIiIiIiopAwQEtEREREREREREQUEgZoiYiIiIiIiIiIiELCAC0RERERERERERFRSBigJSIiIiIiIiIiIgoJA7REREREREREREREIWGAloiIiIiIiIiIiCgkDNASERERERERERERhYQBWiIiIiIiIiIiIqKQMEBLREREREREREREFBIGaImIiIiIiIiIiIhCwgAtERERERERERERUUgYoCUiIiIiIiIiIiIKCQO0RERERERERERERCFhgJaIiIiIiIiIiIgoJAzQEhEREREREREREYWEAVoiIiIiIiIiIiKikDBAS0RERERERERERBQSBmiJiIiIiIiIiIiIQsIALREREREREREREVFIGKAlIiIiIiIiIiIiCgkDtEREREREREREREQhYYCWiIiIiIiIiIiIKCQM0BIRERERERERERGFhAFaIiIiIiIiIiIiopAwQEtEREREREREREQUEgZoiYiIiIiIiIiIiELCAC0RERERERERERFRSBigJSIiIiIiIiIiIgpJjbBngIgipKzMfqiKiuwHEREREREREREFihm0RBRTWgocdVTio7Q07DkjIiIiIiIiIspJzKAlopiSEmDwYGDvXqBrV2DZMqBGDWbPEhERERERERGlCQO0RBQjShns2WM/79IFqFkz3HkiIiIiIiIiIsphLHFAREREREREREREFBIGaImIiIiIiIiIiIhCEmqAdurUqTjssMPQsGFDNGzYEN27d8crr7xS9XfLsjBhwgS0atUKderUQa9evfDZZ5+FOMdEREREREREREREwQk1QNumTRvcfffd+OCDD/DBBx+gd+/eOO2006qCsJMnT8b999+Phx9+GMuXL0fLli3Rp08fbN++PczZJiIiIiIiIiIiIgpEnmVZVtgzIWvSpAnuueceXHzxxWjVqhWuueYa3HTTTQCA3bt3o0WLFvjb3/6GkpIST++3bds2NGrUCFu3bkXDhg3TOetEuWPPHqBWLaC8nIOEEQWJ+xYREREREVG14TUuGZkatBUVFZg3bx527NiB7t27Y926ddi0aRNOOeWUqtcUFhaiZ8+eePfdd43vs3v3bmzbti3uQURERERERERERBRFoQdoP/nkE9SvXx+FhYW49NJL8dxzz+Hggw/Gpk2bAAAtWrSIe32LFi2q/qYzadIkNGrUqOrRtm3btM4/ERERERERERERUbJCD9AecMAB+PDDD7F06VJcdtllGDp0KD7//POqv+fl5cW93rKshGmyMWPGYOvWrVWPDRs2pG3eiYiIiIiIiIiIiFJRI+wZqFWrFjp27AgAOProo7F8+XI8+OCDVXVnN23ahKKioqrX//DDDwlZtbLCwkIUFhamd6aJiIiIiIiIiIiIAhB6Bq3Ksizs3r0b7du3R8uWLbFo0aKqv5WXl2PJkiU47rjjQpxDIiIiIiIiIiIiomCEmkF78803o3///mjbti22b9+OefPm4Y033sDChQuRl5eHa665BnfddRc6deqETp064a677kLdunVx3nnnhTnbRERERERERERERIEINUC7efNmXHjhhSgrK0OjRo1w2GGHYeHChejTpw8A4MYbb8TOnTsxevRo/PLLL+jatStee+01NGjQIMzZJiIiIiIiIiIiIgpEnmVZVtgzkU7btm1Do0aNsHXrVjRs2DDs2SHKDnv2ALVqAeXlQM2aYc8NUe7gvkVERERERFRteI1LRq4GLREREREREREREVF1wQAtERERERERERERUUgYoCUiIiIiIiIiIiIKCQO0RERERERERERERCFhgJaIiIiIiIiIiIgoJAzQEhEREREREREREYWEAVoiIiIiIiIiIiKikDBAS0RERERERERERBQSBmiJiIiIiIiIiIiIQsIALREREREREREREVFIGKAlIiIiIiIiIiIiCgkDtEREREREREREREQhYYCWiIiIiIiIiIiIKCQM0BIRERERERERERGFhAFaIiIiIiIiIiIiopAwQEtEREREREREREQUkhphzwARERERERER+VNWZj9URUX2g4iIsgczaImIiIiIiIiyTGkpcNRRiY/S0rDnjIiI/GIGLREREREREVGWKSkBBg8G9u4FunYFli0DatRg9iwRUTZigJaIiIiIiIgoy4hSBnv22M+7dAFq1gx3noiIKDkscUBEREREREREREQUEgZoiYiIiIiIiIiIiELCAC0RERERERERERFRSBigJSIiIiIiIiIiIgoJA7REREREREREREREIWGAloiIiIiIiIiIiCgkDNASERERERERERERhYQBWiIiIiIiIiIiIqKQMEBLREREREREREREFBIGaImIiIiIiIiIiIhCwgAtERERERERERERUUgYoCUiIiIiIiIiIiIKCQO0RERERERERERERCFhgJaIiIiIiIiIiIgoJAzQEhEREREREREREYWEAVoiIiIiIiIiIiKikDBAS0RERERERERERBQSBmiJiIiIiIiIiIiIQsIALREREREREREREVFIGKAlIiIiIiIiIiIiCgkDtEREREREREREREQhYYCWiIiIiIiIiIiIKCQM0BIRERERERERERGFhAFaIiIiIiIiIiIiopDUCHsGiKh6KCuzH6qiIvtBRERERERERFQdMYOWiDKitBQ46qjER2lp2HNGRERERERERBQeZtASUUaUlACDBwN79wJduwLLlgE1ajB7loiIiIiIiIiqNwZoiSgjRCmDPXvs5126ADVrhjtPREREREREYWAJOCKSMUBLRBQANrCIiIiIvGG7icgu9XbbbYnTx48HJkzI+OwQUcgYoCUiCgAbWERERETesN1ExBJwRBQvz7IsK+yZSKdt27ahUaNG2Lp1Kxo2bBj27BBlhz17gFq1gPLywOsQpPGtQyUyQXQNLDayqEqu7gBEREQ+sN0ULDYvshvXH1Fu8xqXZAYtEVEAWGOXiIiIyBu2m4iIiOLlhz0DRERERERERERERNUVA7REREREREREREREIQk1QDtp0iQcc8wxaNCgAZo3b47TTz8dX331Vdxrhg0bhry8vLhHt27dQppjIiIiIiIiIiIiouCEGqBdsmQJLr/8cixduhSLFi3C3r17ccopp2DHjh1xr+vXrx/KysqqHi+//HJIc0xEREREREREREQUnFAHCVu4cGHc89mzZ6N58+ZYsWIFevToUTW9sLAQLVu29PSeu3fvxu7du6ueb9u2LZiZJSIiIiIiIiIiIgpYpGrQbt26FQDQpEmTuOlvvPEGmjdvjv333x8jR47EDz/8YHyPSZMmoVGjRlWPtm3bpnWeiYiIiIiIiIiIiJKVZ1mWFfZMAIBlWTjttNPwyy+/4K233qqaPn/+fNSvXx/FxcVYt24dbrnlFuzduxcrVqxAYWFhwvvoMmjbtm2LrVu3omHDhhn5LkRZb88eoFYtoLwcqFkzW946EnL9+1GKuIEQERFV4WkxGFyO2Y3rjyi3bdu2DY0aNXKNS4Za4kB2xRVX4OOPP8bbb78dN/3ss8+u+v2QQw7B0UcfjeLiYrz00ks444wzEt6nsLBQG7glIiIiIiIiIiIiippIBGivvPJKvPDCC3jzzTfRpk0bx9cWFRWhuLgYq1evztDcEREREREREREREaVHqAFay7Jw5ZVX4rnnnsMbb7yB9u3bu/7PTz/9hA0bNqCoqCgDc0hERERERERERESUPqEOEnb55Zfj8ccfx5NPPokGDRpg06ZN2LRpE3bu3AkA+O2333DDDTfgvffew7fffos33ngDp556Kpo2bYohQ4aEOetEREREREREREREKQs1g3bq1KkAgF69esVNnz17NoYNG4aCggJ88skneOyxx/Drr7+iqKgIJ510EubPn48GDRqEMMdEREREREREREREwQm9xIGTOnXq4NVXX83Q3BARERERUbYrK7MfqqIi+0FEREQUNaGWOCAiIiIiIgpSaSlw1FGJj9LSsOeMiIiISC/UDFoiIiIiIqIglZQAgwcDe/cCXbsCy5YBNWowe5aIiIiiiwFaIiIiIiLKGaKUwZ499vMuXYCaNcOdJyIiIiInDNASEREREVGgWAeWiIiIyDvWoCUiIiIiokCxDiwRERGRd8ygJSIiIiKiQLEOLBEREZF3DNASEREREVGgWAeWiIiIyDuWOCAiIiIiIiIiIiIKCTNoiSKCg2kQEREREREREVU/zKAliggOpkFEREREREREVP0wg5YoIjiYBhEBzKYnIiIiIiKqbhigJYoIDqZBRICdNX/bbYnTx48HJkzI+OwQERERERFRmjFAS0REFCHMpiciIiIiIqpeGKAlIiKKEGbTExERERERVS8cJIyIiChTNm6M/0lERERERETVHgO0REREmTBzJtCxo/17x472cyIiIiIiIqr2GKAlIiJKt40bgVGjgMpK+3llpV1slpm0RERERERE1R5r0BIREaXb6tWx4KxQUQGsWQO0aRPOPBFRTisrsx8qUeeaiIiIiKKDGbRERETp1qkTkK+ccgsKYiUPiIgCVloKHHVU4qO0NOw5IyIiIiIVA7RERETp1qYNMG2aHZQF7J+lpcyeJaK0KSkBVqwAli2zny9bZj8vKQl3voiIiIgoEUscEBERZcKIEUDv3kCHDnbJg/btw54jIsphopTBnj3x0+XSByx3QERERBQNDNASERFlisiYZeYsEWVY166J08aPByZMyPisEBEREZGCAVoiIiIiohwnSh107Wr/XqMGs2eJiIiIooIBWiIiIiKiHNelS/zvNWuGNy9EREREFI8BWiIiIiKiAMl1XmWs+UpEREREOgzQEhEREREFqLQUuO22xOms+UpEROnGm4RE2YkBWiIXPMERERGRHyUlwODBwN69rPlKRESZxZuERNmJAVoiFzzBERERkR/iJu6ePfZz1nwlIqJM4U1CouzEAC2RC57giIiIiIiIKBvwJiFRdmKAlsgFT3BERERERERERJQuDNASERERERERkWccp4OIKFgM0BIREYXE6eKmadPMzw8RERGRFxyng4goWAzQEhERhcTp4mbs2MzPDxEREZEXHKeDiChYDNASERGFhBc3RERElI04TgcRUbAYoCUiIgqJ08WNmEZERERERES5jQFaIiIiIiIiIiKKJA5KR9UBA7RERJS12FgjIiIiIsptHJSOqgMGaImIKGvlamOtrAzYsMH+fdUquy4twMAzEREREVU/HLeBqgMGaImIKGvlamNNDjx37Rqbnu2BZyIiIiIivzgoHVUHDNASEVHWytXGWkkJMGBALDibK4HnXMCyGkRERBQFbJMQ5RYGaImIiCKmqAho2jT2PFcCz7kgV8tqEBERUXZhm4QotzBAS0RERBmVzRkfuVpWg4iIiLIL2yRkks1t7eqMAVoiIiLKqGzO+MjVshpERESUXdgmIZNsbmtXZ0kFaCsqKjBnzhz897//xQ8//IDKysq4v7/++uuBzBwRERHlHmZ8EBERERGlB9va2SmpAO3VV1+NOXPmYODAgTjkkEOQl5cX9HwRERFRjmLGBxERERFRerCtnZ2SCtDOmzcPTz/9NAYMGBD0/BAREYWCtZqIiIiIslfQbTm2DSkTuJ2RkFSAtlatWujYsWPQ80JERBQa1moiIqIo4MU6UXKCbsuxbUiZwO2MhKQCtNdffz0efPBBPPzwwyxvQEREOYG1moiIKAp4sU6UnKDbcmwbUiZwOyMhqQDt22+/jcWLF+OVV15B586dUVMpZrFgwYJAZo6IiChT3Go1MaOJiIgygRfrRMkJuu4m63hSJnA7IyGpAG3jxo0xZMiQoOeFiIiqiWwMdjKjiYiIMoEX60RERNVPUgHa2bNnBz0fRERUjWRjsJMZTURERERERJQOSQVoiYiIUpGNwU5mNBERERER5bZs7OlHuSHpAO0zzzyDp59+Gt999x3Ky8vj/rZy5cqUZ4yIiHIXg51ERERERBQ12djTj3JDfjL/9I9//APDhw9H8+bNsWrVKhx77LHYZ599sHbtWvTv39/z+0yaNAnHHHMMGjRogObNm+P000/HV199Ffcay7IwYcIEtGrVCnXq1EGvXr3w2WefJTPbROTVxo3xP4mIiIiIskRZGbByZeJDlxVHRCQrKQFWrLB7+AH2zxUr7OlE6ZRUBu2UKVMwbdo0nHvuuZg7dy5uvPFGdOjQAbfeeit+/vlnz++zZMkSXH755TjmmGOwd+9ejB07Fqeccgo+//xz1KtXDwAwefJk3H///ZgzZw72339/3HHHHejTpw+++uorNGjQIJnZJwpEznZ9mDkTGDXK/r1jR2DaNGDEiHDnKWBhrLuc3V6IKFA8VmQelznlsuq6fTMDjoiSxZ5+FJakArTfffcdjjvuOABAnTp1sH37dgDAhRdeiG7duuHhhx/29D4LFy6Mez579mw0b94cK1asQI8ePWBZFh544AGMHTsWZ5xxBgBg7ty5aNGiBZ588kmU8BYGhcit4RdkgzhjjeuNG+3gbGWl/byy0r5V2Lcv0KZNgB8UrjAa7bxQICIveKzIPC5zymXVdfvOxlr3RERUvSUVoG3ZsiV++uknFBcXo7i4GEuXLsXhhx+OdevWwbKspGdm69atAIAmTZoAANatW4dNmzbhlFNOqXpNYWEhevbsiXfffVcboN29ezd2795d9Xzbtm1Jzw+RE7eGX5AN4ow1rlevjgVnhYoKYM2anArQhtFo54UCEXnBY0XmcZlTLquu2zcz4IiIKNskFaDt3bs3/v3vf+PII4/EiBEjcO211+KZZ57BBx98UJXp6pdlWbjuuutwwgkn4JBDDgEAbNq0CQDQokWLuNe2aNEC69ev177PpEmTcJsukkWEYDNR3Rp+QTaIM9a47tQJyM+PD9IWFNilDnJIGI12XigQkRc8VmQelznlMm7fRERE2SGpAO20adNQ+f8DOJdeeimaNGmCt99+G6eeeiouvfTSpGbkiiuuwMcff4y333474W95eXlxzy3LSpgmjBkzBtddd13V823btqFt27ZJzRPlnkx28wqyQZyxxnWbNnbN2ZISO3O2oMBeaDmUPUtERNmtutbUJCIiIqLclVSANj8/H/n5+VXP//znP+PPf/5z0jNx5ZVX4oUXXsCbb76JNlIgqGXLlgDsTNoiqcX9ww8/JGTVCoWFhSgsLEx6Xii3VdduXr6MGAH07g106GCXPGjfPuw5IiKiHOcn6JrMzVYGdYmIiIgoypIK0ALAW2+9hdLSUnzzzTd45pln0Lp1a/zzn/9E+/btccIJJ3h6D8uycOWVV+K5557DG2+8gfZKIKh9+/Zo2bIlFi1ahC5dugAAysvLsWTJEvztb39LdtapGmM3L4/EjRJmzhIRUQb4Cbomc7O1ug6UFAQGt4mIiIjSL6kA7bPPPosLL7wQ559/PlatWlU1KNf27dtx11134eWXX/b0PpdffjmefPJJ/Otf/0KDBg2qas42atQIderUQV5eHq655hrcdddd6NSpEzp16oS77roLdevWxXnnnZfMrFdbbFwTERFRVPkJuiZzs5U9aJLH4DYRERFR+iUVoL3jjjvw6KOP4qKLLsK8efOqph933HGYOHGi5/eZOnUqAKBXr15x02fPno1hw4YBAG688Ubs3LkTo0ePxi+//IKuXbvitddeQ4MGDZKZ9WqLjWsiIiKKqnT3cGEPmuQxuE1ERESUfkkFaL/66iv06NEjYXrDhg3x66+/en4fy7JcX5OXl4cJEyZgAqOIKWHjmoiIiMLE3jzZicFtIiKi7FZWBvz4Y+J0tsGiJakAbVFREdasWYN99903bvrbb7+NDh06BDFfFDA2romIiChM7M1D5I+4obFqlZ1YIfCCmoiyRRA3Z+X3EPGMlSuBdu14LPRq+nTgjjsSp7MNFi1JBWhLSkpw9dVXY9asWcjLy8P333+P9957DzfccANuvfXWoOeRiIiIiLIce/MQ+TN9uv2za9f46bygJqJsEcTNWd17dOvm/B5h9NqJck+hkSOBIUPYBou6pAK0N954I7Zu3YqTTjoJu3btQo8ePVBYWIgbbrgBV1xxRdDzSEREREQBCuMigr15iPwZOdLOeHr7beCEE3hBTUTZJ4ibs+p7AMDSpXYGrUkYvXai3FOoqMheXmyDRVtSAVoAuPPOOzF27Fh8/vnnqKysxMEHH4z69esHOW9ERIEwBSKaNs38vHgR5buvRJQb0nERwWMXUbDEftOlS+wnL6iJKJsEcXNWfQ8AOPJI5/cJo9dOJj6Tba3c5itAe/HFF3t63axZs5KaGSKidDAFIsaNy/y8eBHlu69ElBvScRHBYxcRERFFQRi9djLxmWxr5TZfAdo5c+aguLgYXbp0gWVZ6ZonIqJAmQIRTZvqi6WHjXUaiaoXXTaEnCWSDk4XEclmZ1SHY1dQmSvMgKGo4zZKRH74PWbwGJOcoNtaXA/R4itAe+mll2LevHlYu3YtLr74YlxwwQVo0qRJuuaNyBUPKOSFKRCR7gBIslinkah6MWVDhCXZ7IzqcOwKKnOFGTAUddxGicgPv8cMHmOSE3Rbi+shWnwFaKdMmYK///3vWLBgAWbNmoUxY8Zg4MCBGDFiBE455RTk5eWlaz6JtHhAIUoP3vwgyhxdNoRl2SMUR2V+ci0TNllBLZt0LONsq7dO0cbjABH54feYwWNMNHA9RIvvQcIKCwtx7rnn4txzz8X69esxZ84cjB49Gnv27MHnn3/OgcIoo3hAIUoP3vwwEwGQVavs443A4DUlS5cNEbX5yXQmbFkZ8OOP5nkLS1DLJh3LONvqrVO0ReE4QN5t3Bj72b59uPNC1ZPfY4aX16s3HqPa+zGb8VgfLb4DtLK8vDzk5eXBsixUVlYGNU9EnvGAQpQevPlhNn26/bNr1/jpDF4TBWf6dH2N8Fzdz4IISGdbvXUiCsbMmcCoUfbvHTsC06YBI0aEO09EQYhaCSgVe65Q0HwHaHfv3l1V4uDtt9/GoEGD8PDDD6Nfv37Iz89PxzwSEVGG8eaH2ciRdrDj7beBE05g8DpXscxHuEaOBIYMqT43iYIISKe73jp7DxBFz8aNdnBW5EpVVto3a/r2Bdq0CXfeiFKl3nh85x3g+OPDnqsY9lyhoPkK0I4ePRrz5s1Du3btMHz4cMybNw/77LNPuuaNiIgockQgQnRDZ/A6N1W3Mh9q0A0INwOkqAho16763CTKhoA0ew9Q1OlurOV6l+jVq2PBWaGiAlizhgFayn7qjccjjgh1dhKw5woFzVeA9tFHH0W7du3Qvn17LFmyBEuWLNG+bsGCBYHMHFEQqmNjjUjFbEAif6pbmQ816AYwAySTsiEgzd4DFHVR7w6dDp06Afn58UHaggK71AERpVe6e65Q9eMrQHvRRRchLy8vXfNClBbpbqyxyx9lg+qWDUiUqupW5mPZMvsnM0DIhL0HKOp0N9YsC+jWLew5S582beyasyUlduZsQYHd5mP2LBFR9vEVoJ0zZ06aZoPSSc6cExeaK1famRrVIYCY7sYau/xR1JWVAd27A48/bu8Hw4YBc+YALVsChx0W9twRURSIoJv4nRkgRJRtdDfWqoMRI4DevYEOHeySB+3bhz1HwciV3l+58j2IKP18DxJG2UeXOdetWzQDiOk4gaW7scYufxR1umPAsGH2MaBv31BmiYiIiIgCIjJmcylzNld6f5m+x6hRdiIRwBuiRGRjgLYaUDNIAWDpUjuDNmqy8UTMLn+UjLIy4McfE6en42561I4B1T2rP92YqUFEROQNz5nRlSu14NXvccklwIwZdmmKadPCnjsiihIGaKsBNYMUAI48MppBxFw5ERO5mT5dX9sxHTcjMnEM8HOBk01Z/dkoG290ERERhYHnzOjKlVrw6ve45RbgssuqV61kIvKGAVqKlFw5EeeaXMguKCsDNmywfxcDuoXZnWjkSGDIkNy5GeHnAidqGb25hje6iIiiJRfaUWEpKwM+/jix11HTpnYd/VSXH8+Z2SUX9qWiIrvNW91qJROROwZoichVLmQXyN9BHdAtDLrGWTbfjPBzgZNNWf3ZiDe6iIiiJRfaUWExLTsgmOXHc2Z24b5ERLmMAVoichWl7IJk75yXlAADBsSCs+xOFCxe4FA65ULGDBFFX7qONVFqR2WbkhKge3dg82Zg6FB72pw5QMuWdgYtVS/cl4golzFAS6FxagQ3bZr5+SGzKAXfkr1zrm5X7E5ElD2ikDEjSqMIHHGZKPek61gTpXZUtpGXnQjQnncel191xX0pka6MG8BraqJsxAAthcapETx2bObnh7JDrt45LytLrK/GAFB2096E2gMcGcrcZLco7PdRKI1CROkljjWbNgEDBwJz5wIFBXaQY+VKZu0TUfSYyrjxmtosm3pmmeaVwffcxAAthSYKF9wUbV6yrHPlzvn06cAdd4Q9FxQk3U2oGgAYd/cvChkzy5bZPzMx4nJZmR0gAhKzYXiOJJV6rhT7SVkZB1/0S+xjt9xiPxcZmwLrXBI5y6bAV67QlXHjNbWzKPTM8so0r+PGZX5eKP0YoKXQOF1wM3OQgOqVZT1yJDBkSPwNC9bIzW7am1AWAK7TrCSXRUl3iRT5ho2aDRO1CwcKn+lcOX06cPvtmZ+fXDBypL0Pvv02cMIJDHgQeZVNgS8gNwLKujJu1eWaOpWxSbIlUcw0r02bMrknFzFAS0QZtXFj7Gf79s6vzaaTZ6qKiuxMJ/mGBWUHtTYpEGsYJtyEyvzsRYauEZ3rFw7JGjkSOPVUZsOQN+q58p13gOOPt7cjSo7Y18S5OFd661B2yOagYba13bMtoEzxUhmbJOyeWV6Z5pVt6NzEAC0RZczMmcCoUfbvHTsC06YBI0aYX88sa5JFdWBBXW1SNuwTmRrRbuT1Lvb7lSvtGxpRveBLlXoRHuULBwqfeq484ojYdCLKPtkcNMymwBeQfQFlipfq+hPtSzXZIhtuhlBuYoCW0iab7/5S8DZutIOzlZX288pK+6Taty/Qpk2480bZIaolL9TapGzY6+ka0V7KeOjWe7du2XGhSsGLasCeg3hQOuVyEMFPz6pUOPV2iRoGDTMnKgHlTO0HuSbV9Td9uv1TTbZgGzM4jAn5wwAtpU023P3NpsZalCSz3FavjgVnhYoKYM2a3ArQsoGVPlG9YNGVo5AbIwzQ2HSNaC/U9Q4AS5dy8KNk5EKZiagG7DmIR/bTBf9Xrcr8Z8vE+WPWLPtnrgUR/PasSkU29XYJO2jIgEpmzZ4NXHaZ/Xu69wOK56feeFR78kVdNsSEooQBWkqbqAZTZNnUWIuSZJZbp05Afn58kLagwG6I5IpMXmhUR9lQ8kK3bwQRoMnFrCmv1PUOAEceGe0uk1GVbJmJKIlqwJ6DeGQ/3f5xwgnhfTYQO39cfDFw1125NWhZpntWsbeLdwyoZNZll7GHYVj81BuPak++qMuGmFCUMEBLaRP23V8v2FhLTjLLrU0bO2BZUmJnzhYU2Ce6XGl8sIQDAfp9I4gATa5lTVE4ki0zESVRDdhzEI/spwv+i4Bopj9bPX/k4qBlme5ZJffayIXll04MqGRWdehhmAu4XyQnG2JCUcIALVVrbKwlJ9nlNmIE0Ls30KGD3TDPpRIA1aWEQyZkc9c63b4RRIAml7KmKDzJlpnIVrlQ0iHbZPMy1wX/g95HnGrJHnlkagH+bDt3VoeeVdmKAZXMqs77QVkZsGGD/bt8XIzicSsbevI5Ecs3SvX7KREDtEQUp6wMKNsAAF2AVag6SgRVX0cEK3MtaMkLjeCwa12iXMqaIsqUXCjpkG24zJ35GZBGDlx8+KH906kmbradO3O9ZxWRV1OnAqNHV8/9QD5uycfFqB63spl63olC/X5KxAAtUZbI1B1G+0RZE8BKQDlR5lp9nSBHReaFRnDYhSi3yfudZdm/8y4+pUMulHTINlzmzvwMSCMHLo4/3v7pVG4hG8+dqfSsKisDPv4Y+PHH+OlNmwIHHRTsfJo+P5syllXZPv+5ZPhwoE+f3Oxh6KakBBgwIBY8zIbjVraSy7AB0ajfT4kYoCXKEpm6w1hSAgwesAd7ux6Prng/p0+UfjJZvMjlEg6ZxK51uU233/EufvVUVpYYXAmym2B1K+mQabr1B8T3uOnSJdibodnEqdyDl14RauACcK6Jm63nzmR7VjllawcxOGeyn58t57Jsn/9cky09DIMK7MvvI27WA0DLltEMGsrnu2wtEaC2gaJQv58SMUBLlCUydYexqAgoagrsgd2PLtvq6/jhJ5PFq2xpYBGFRd3vAN7Fr66mT099AD0Kj2n9qT1ugr4Zmi1SLfegKy3FmwwxJSVA9+7A5s3A0KH2tDlz7ADPQQel/9iSjRnLsmyffwpHUIF90/tMnw7cfnvSs5c2uvMdkwsoHRigJdKI4iAXakM9WzIjoiwXR0WujoIu/5HObK+yMqBMqe8MBFPfOVuo+x3Au/jV1ciRwJAh7A6frXTrTxfgScfN0GzAcg/pJWcMiwDteecFNzinn88Hsq8NKfY/0X4SRBso1/fPqHLqmRCFdRJUYF99H2HkyGDnNyjq+Q5gcgHLpKQHA7REGhzkgih7BF3+I53ZXqXT83GbUt8ZyEx3TKKoKSqyL25YgiA76dafrsdNmDdDN26M/cx02SGW2Egf+QZq2AkU2SzKAzTJwZ9s7VKeDKeeCX7XSTrGLwnqxoT6PvL0KFLPdwCTC1gmJT0YoCXSYNZDNOka5GVl1fvuJQVf/iOd2V4lIysx+I5jsPftZeh6Qs2q927alF29cxGzCygV3H5SM3MmMGqU/XvHjvZAniNGhDtPFAz1BmrQUtn3smm/jfIATbrgT3XoUu61Z4IXUQ7AU7QkE8xnmZT0YICWSINZD9Gka5BHtVaR2j0e0NeTo9QFXf4jndleRUVAEVZhj/LezADKTcwuoFTkyvYjslj/97/MfuaoUUBlpf28stK+mOzblzXic4F8AzUdCRSp7Hvp3G+dgr/JtC+jXD5N1wW+OnQpd+qZ4FeUA/DZRlzXye31XEoSSiaYn+1lXqKKAVrKqCjWdqXssWyZ/bNrV+Cdd4Djj49urSJdMFkdOIWIchuzCygVubD9zJ4NXHaZ/fuBB2buc1evjgVnhYoKYM0aBmhzgXwDNR1S2ffSud86BX9zrX2p6wJf3buU+xXlAHy2yUSSUDpKUnjFYH50MEBLGeWltmuYB6fqIgrdr5Ipgi83xI84Ivb6KJKDyTzJEVVPzC6gVOTC9nPZZfFZrEBm6sF26gTk58cHaQsK7FIHRG5S2ffSud/mwk0bql6iVEtY17vRa+a5fF0nBJ0kFGZJCgbzo4MBWsooL7VdTQenUaPs/xcYsE1eFLpNBlkEP4rkYLJp4BQ3okGjNii47RMRUTZQs1gB4Jtv0h+gbdPGrjlbUmJnzhYU2G0fZs9SNnMK/ma6R2KUAm9BMiWQsERZcqJUS1iXBet1kF5dtn7Q2zmzWAlggJYyTNewUINQ3bsDc+YAw4bZ0y+5BJgxw25oT5sWe69cCeSpMjHicBTuwAdZBD9K5O3Zsuzfk22wTp9u/1QbFE7bftD1yYiIiJKlZrECwH77efvfVHv7jBgB9O4NdOhglzxId1CYKFfpgpalpfHXZUBuDOJlSiDxGsijeFGqJazr3RilQXqZxUoAA7QUAaYglHDLLXYXuVwL5OlkasThKHSbDLIIfpTotudkG6wjR9qNBnkwDLdtP+j6ZNmYxZtN8+pE3KwhIu9Y6z5apk4FRo+OZbFWVMRnsToFYYPo7SM+i5mzFJZkSnpFjSloOWqUfZ0SduAtSKYEkigF8rJJlGoJ63o3ptI+kK83xPuUldnvG0S5RvV6JuqJNqYBsrPlOBcVDNBSgkzXJ9UFoeSyB7kayFPpRhweNQpo1Qpo0cKelo0Xmer2JJ/Asr0Rp9tXxHYrtmcg+Qar2N/kwTDctv2gs6OTyeINWzbNq4l8swYA5s4Nb16IsomXWve5btWq2E911OlMGz4c6NPHzmL94gtg//3j/+4UhI1Cbx+iVOVCSS+nXm9y0CgXBvEyXXdm4zVYdaS7IaJbd+r5UZw3/dAll02caN+MFNnlqdSSVd8/6lncpgGys+U4FxUM0FKCTNcn1QWhqiPdiMOVlXYtmmxm2p6CHvkyDE6BAHk7zmSDNej6ZMlk8YbN77w63UQIg3qzBgCuvDKceSHKNl5q3ec6cXPQ1DMp00T2auvWiX9zCsIG2dsnXVmMURh0Naq4bGy5UNLLKVmGgcvsUR0yHE03RFTq+VGcN9VzhXxNoC4n3cBhM2cmflay+7x6PRP1LG4OkB0MBmgpATMWMkNtuO7alVirLT8feP55e31k60Wmuj298w5w/PHBj3wZFD8XFNUhEJBMFm/Y/M6rKdCua2Rlgu5mTUVFOPNC3jAQER26oF6UZKJXidyDY9kyYPNm+1y1cWP0uvpnquRSurIYozDoajIycczK1mWj4xTgd+t2XF16AlK8KJbbqQ4ZjrobIrprMzW4Ks6bpnPF9OnArbfGT5PbF+p5V/7MZPd59Xom7O3HjWmAbPKHAVpKEIX6pNWBqeGal2cf1MWIw/362dOjdpHplbo9HXFEbDoQvRqnfi4ooh4IyHXyBZPcaPGb+Wq6iTBiBDBpUnDz61WnTok3a0TtRoqmTAUi/AZVTK+Peh2zXJaJXiXyuejDD+06/oBd237q1GA+I9ukK4sxW5MaMnHMiuKycWpzOh0XnQL8ydT3T0VZmb6+JY/rmeE1Gz+K5XZyLcNRVwMWsHsuul2bqdPFc/Vc4TWxSA1OEiWLAVqikJgarnv22HfcxIjDUb9blqqo1TiN4gVFOuRCNyfTBZPfzFe3mwiZ1qaNXbuqpCQWlH3oIXugnWwnX1h++GH8dD/Zg1HbfjN13PAbVDG9Pup1zHJZpnuVXHZZfG17EazduNFuY2STVPb7dGUxZmtSQyaOWVFcNk5tTqdAa9AB/lQymOXjuvw9/BzX5c9Xb3Bn+/gQ6eY1Gz+KvexyLcNRlxGc6s1O9VwR9jVBlIjjxpYt8TcpGjeO/Z3LKXUM0BKFxNRwFc+j1g0xXaJW4zSKFxTpkM3dnMRFRffuwOOP243fYcNifw8r8zVII0YAvXvbA+sAwNCh8QHabO1SL19YHn98bLquQW3qCg5Eb/vN1HHDb1DF9Pqo1zHLJk716nSBjkzfENLVtgfsbNpp0+xjTdDUDD/Lik1PRdT2+yD43X6CUl3aOqpk25xB12A13TwbNcrenp3mp6TEHp9C7A/JHNdzeXyIdPMarGcvu/STM4KjXkIvF7hlhevKQJB/DNCSq3QNrEAEZGeN01yQzd2cRAbMwIH6v2fL93DjdJMmW2v7qReWgq5B7dQQzObtNxV+gypuNwKziZo9GZXv4FSvLgqBDrVcilBZae+PffsGf0PYlOEn925IphZvLu73frefqJWFyjZObc5MHlNKSux1KUZ6F6ZNs+fR6TyulmNI5riu3rwTGNxy5zcbX95nxc2qlSvt98ilshS6rGzxPdN1bJKD3mFkugZ5AzIbiOPGpk32NdisWcDFF9vj5Zx+Oo8fQWGAllyla2AFIgpGMgMRZHM3JzUDRtw1r06S6Z4ahaxbU50/3eebuoID2b39UnJ02ZNRkGy9ukyZOtXOvtfVsK6oANasCT5Aq96I0dX1TiaDLxf3e7/bz6xZ9s90l4UKI9hSnYgg7IgRiZmwmVi+6s07eToFS1dWo1u39NYvNtVmTYbXWva6Y3q3bnZWeElJbgWjBdMNSJMotMNToR43zj7bDtD26RP7O6WOAVpyla6BFbKBfNdz82b794ULgaOPDq7uVKa6swU5mmhZmX33DIhvBGTLCSbXRHEgAi/k7dHPdqRmwIi75tVJMt1Tsy3r1tQVXMVeHtWDmj3pVMvPqYt90NtEUZG974nPk+ehZs3wL0qHD7cvnjp00A8+2LFj8J+p3ojRZTZluhZvVPmtd3jxxcBdd6W/LJQp2JLO80V1O5abMmEpt6hJBQCwdGl6r/mCvKHptZa9OKZPnQrMmBGbPm2a/cjV2vd+BhbOtnY4hSPUAO2bb76Je+65BytWrEBZWRmee+45nH766VV/HzZsGObOnRv3P127dsXSpUszPKfVW7oGVogCt0Cj7q7n4MHAqacCL7yQ3GeGVfcpyCCenFUtLxtxggkyGEzuMjkQQZCDM4n9C9BvRxQsr1m32XaHn708soNTRp6XIKafEZJNXezl+mi6Y1mywVRdbWURzBo61H4e5qBcIkNWzqbNzwduvhn44Qf7ken9O2qDM2aLTJWF0nWBT3dQicfy7JeNgw+mm7rPAsCRR6a33JB8Q1O+MTd7tn3Tzg+vtezFMf2WW+IDtLle+97Puau6DERNqQk1QLtjxw4cfvjhGD58OM4880zta/r164fZs2dXPa9Vq1amZo+qAbdAo7jrqWadvPyy3QhJpltgWFkjQQbxRo60g9SmblnZmtGZrTI5EEGQg7SI/UtId0Ml2wKPQfOadZttd/ircy+PbOKUkRd0N09TF3v5PKs7liWb4aOrrbx0qZ0xJTJU0zkol1fDhwOffQb84x92m+b222M3hoPYv4PsVkvh0nWBF0Elv7zWzeWxPDtJl+mROM5lA7EvyDcrg9zOu3Sxr1OB+OvX0aNj3dG98lvLXv0e2Vz7PmjqsmzZ0u41oLuBTdVXqAHa/v37o3///o6vKSwsRMuWLTM0R1TdOAUa5exadYCNVOq2qQdn0fVy0yb7IJ2uWkFFRXbjOoggntqoVgM9mczoFKp78C1TghykxdSIS5dsCzyGpaQE6N7dLusydCgwd67dFbpp0/R0EU9VKr08eNzInExm5HnpYq87liWb4aOrrdy8OXDjjbH2QzoH5fLj+uvtAG06ushHtU4woA+IsJ5qZuh6owGJ595c7rHnhS6AHXaJFDcbNwKXXRZ7Lh/nWrQIb75MnM75mVzW6r7QrVvwJQDWrEmcVlEBfPONt/8PqyRfstQbQfL8RvU4b+o1QNVb5GvQvvHGG2jevDkaN26Mnj174s4770Tz5s2Nr9+9ezd2795d9Xzbtm2ZmE3KUk6BxgkTzFmgQdZtE/WIgrqwiUIQKpMZnUIUvnd1kM5BWtQyI0E3ltPVtUgtlSJuurz2Wvx+sHIl0K4I0H2cyHSIQvfAoqL4/Ul00Qac96dsDHamctzQZYWlM/Mh2wftccrICyNjRHcsC3I+1qwJ5uauWk831Zrv6ewiLwe9ozZ4oy4gwvZBMNyO/WoNTmbG6ukC2OkaRCooq1ebj3NRDNA6nfMzuazlYyVg36wsKgo2WKe7Ti0oAPbbz9v/h1WSL1mmARTl0kZR07078Pjj9nXJsGHAnDl2r92LLrL//uGH9k8/5aAo+0U6QNu/f3/86U9/QnFxMdatW4dbbrkFvXv3xooVK1BYWKj9n0mTJuE29q0OXbZfSAL6LouAfXIrLfV2geV0YSUOsnLReD+ZpqbBFE4/vXrWt2Fdn+ynlhkJurGczMBaXphKpQwaFP+6bt2A28YBajtx5kx7lFsgOt0D1eOfl/0pG26SqIEE0Thu3NheX36OG6assHQJY9CedItqpksQtbY7dgxmUC5TPd1MrXdde27VKv1r5aB31AZv1AVEopgFlo3cjv1ebwqkO8tZvpmqBj7kz9DddMtE1mA2BrA7dcrc4INBiMq1gpq4cuSRwX+GuE4tKLCD5gAwZYr3G4TZMJCjXG5QHUAxivOrGjgw/vmwYcCJJ8aeqzXto37DhoIR6QDt2WefXfX7IYccgqOPPhrFxcV46aWXcMYZZ2j/Z8yYMbjuuuuqnm/btg1t27ZN+7xSvFy4kDRl8K1e7T3DzenCShxk/Qx8InMbTKG6dRFLV/CNzHQ3CVLNQEumsayMJZnwPN3UUimiUfjii0CzZkpAoAiAtN9u3GgHZ3XdoOXsk//9LyNfpYqa6SiIQI1u/UTlwseJ22jEfo4buqywdJZyCWPQnnSLaqaLW61t3c1XdX9p08a+2VJSYl8c+7m5K0vmZkmQdPuMuKmcTXQBEbYRghHUsT/dWc5yu1kNfMifodv/M5E1qAtgR70eZZs29uCDJSX2c/k4F8V5d7pWSHZ+TQkzqfQe0p1jtmyxnzdr5u9zvvgC2H9/+3c/A4RFdSBHuY3fsaO9/QGJN4KiMr9OdDcO8/OBY4+Nf122t/XIn0gHaFVFRUUoLi7G6tWrja8pLCw0ZtdS5uTihaTg5+KqpMQ+yIo7ZGotx1QEOZhCQuNiD3BoarOXleTlkK2Z35mUjtpJyTSWr7gi/vmVVwY7T27UxrFoFJ5ySvzrjjwSUOMBTt2gX345Nu3AA4OaW+9EhijgLXMvG26SeB2N2AuRkSKqLqW7lEuQg/ZERdCZLqaBNvyeb91qbZtuvqpGjAB69wY6dPB2c9fU60YeiiHT+5WuPSf3/CEK6tif7ixn9Waq6TN0pTqinIWXyfrKutI+hx8e+7ufJJZc4ZYwkwyv5xjAvsk/YQKwa5f+761bJzcP6ZRKaSi5zV9ZaQ98lq28ZlKnWg5KLqMWZg188iarArQ//fQTNmzYgCJGSiLHVH9KvqjI9gvJZBQV2d1JBLmWY6rF4IMcTEFtXNQA8Htqs5eVdI2sbMv8ziTdTYJ0DwanowtwZgtTN+h69RIH3gAyW6NWZIgKUcyI9UsX5ARi5y+vF7azZ8fWjy54rt70ivrgGmEJOtPFlCE9c6b901QvWl0vbrW2dVmtpmOfuBhyuyhatcqez2nT7OfyRXnQg8eon+tUzkG3z2SirnxUmdq7rA0Yz09pDCHdWc66TEPdZ+hKdUT5vJfJ+spupX1yJfjjpZeEEFTCjBz87t7drkc6bJg9bdky4JdfgH/+E3jiifj/mzbN/t+XXopNmz3bX7ZspqVSGiqb2/xhUMuoiYxjIPH8z/NYNIQaoP3tt9+wRhpicN26dfjwww/RpEkTNGnSBBMmTMCZZ56JoqIifPvtt7j55pvRtGlTDBkyJMS5Jh23bqPVmSnIkexo0emgNi7efQeAz8E9dBctqXRvMtUxDqqRLF+ci4sGdTkAuZP5nQ66mwRh0AU4s6XBZuoG/dtviY1QwB59N1MBWnVfS2fmXliDoyV7YXvZZfFlKYD4zARTRk1UB9cIUjKDWskXpuK4nMygGLpsT8DOZJ00yVwv2u96UUsgBXHs012wjhhhZwep7YUgg4Ru5RwoHtu73uRKaYxskMn6ysmU9gmipnem+clgDSphxin4Ld7zsMOAq66Kvzn40092DX25zTh6NNCnj/95cCKuldwC1l6kUhoqm9v8maYroyZnHKvbmpfzmNzGE7W83W6+kU9WiBYvXmwBSHgMHTrU+v33361TTjnFatasmVWzZk2rXbt21tChQ63vvvvO12ds3brVAmBt3bo1Td8ie5SXW5Z9GLR/9/p68Vr1uez77y1rxQrLWrbMfs2yZfbz9ev1nym/l/h9x47EabrPX7/efm/5sXSp+/fSfabps3TLzO018vw7vYf6fcT/6ebNNN9e1ouX6cbP2lFulaOGp/Umno8fn7isdN9LXU6m6ab3GzfO2/LWbQu69em0bpLZV0zr1TR/Xta36bt6mQ/dZzu9xvSeuv3TaZ79LDfT/uW2DYt5mjIl/j3Ec9M8eH1ft23MdMxyPJb9/wnlO8rj3nvtWvs1a9fazzdssKz8/MTlI/7u9l28fE+v25OffcHL++vWe36+Zc2Y4fx6P8dKr/O4bFnsvAXY55Lvv4+d0+Tzy9Kl8ec09bFoUeJ5Srz3O+/EpntddqbjkN/jk27ZuJ0Pk1mmgunYPX68/Xd5GYrlMny4+X+COHeLbWf9+vj1ra4XP8cy0/HUdD5xO46o26JuvsT7eD0/Oi033eeKttv33zt/X9N53HQOdDqmejnPJXuOMf2v2/87fVe39m55efzxQz6GrF9v/r5u070sS913dpvudzv3uqzV5QRY1ttvu8+X1/3adJ4V60O3zJ32U9N8OG3rfpe30/+67R9Oy8LPtm1aZ27L3Gk79XKuMp0P/M5jMtuu131E3X7lbXfZMst64QX7d9EO83q+1B0TdctNHEPEfiLOT07Ltbzcsl5/Xb+MFy1yPx/4Xf66h9v5V3csM20/Xtan3OYvKLCs0lL9sdF03WI6Hng5JuuWhfp5pvXrpV1p+gzTNua2Lk3bhniIbc0tbiPzer3v59xUXXiNS4aaQdurVy9YlmX8+6uvvprBuaFUmOpPpaNAfDrqXlLiHbEjpOle7sTrajtaVvLd3U11jIuKgln/cg091tPLbkOHxt8RVp9nA7UbtG7gjYqK3Ok+qJIHR8vkdzR1qZ0wQT/QpcguUDM4AGC//WK/qxk12dBNNihug1rJtY3FQD2zZ9s/5WNxOrLATPWio7BedFm4pvkKspayWzmHsKkZ2eKyIaxyIV7au6Ys2yAHwdPVAhXzF4VuqmGVxojqwIPVmVtN7yhS96MPP4yVNerY0e75dNFFwX8mkFj6x02nTvqsUrlNouM3s1k+P4dV0gyIb+OvXm23GUVbOcpMA6ins/eFadsQGcfqwIS68l9qb53u3e1BkAcNik3jdXSwsqoGLREQnbqXuUY+cRx3fKwGrdeun7qLllSYBsQJinpRSiT873/xP9V6omL6ypXpnY/hw2ONTnkUXh3dKMJy3dOw6qH6KX0iBkeLQhDa7QbR1Kn2BYIoS5FtwXNTSYEgLpp13f/loJ9a9geINe7lY3Gqg2LkskzeFA+bqatxlMuFqMePdAw0NWuW/VMNSI4fD4wdG9znZJugBx4kPbm7u0OuFYDE9vaPP+rbBkGXPZAHRkq1hJJa1qikxB4AMgrUUlmAPf6JW5vEb3mbKF43ZVO7y2vikdhug6ArozZliveAtteSPlHZHnIFA7Q5TD355UrDPSp1L3ONmvUksHFLXqkD8HipPRlFYtAn8dOUtd+jR+bmyW0UXqeeBWHWQzU17nTy84GdO2OB7zC3G7cbRMOH2/XdOnRwD55Hka7WXbozOQTdOuV5PFqCrimfCrVtEvXAm3xDTASuxM9kjmemi/WLLwbuuiu+lmM2ZCamW9ADD2ajp56yAzFC06Z27dIgl4XIljPVZ3XKfJ81S98uCLL2tTow0rRpdk1vP+RjoG5gqm++SW0egzRihB0w7tDBfu5lgLBszGzOZl4Sj+QBaIMibxt+M46D7K1D3jFAm8P8XBgTmbrFeTlZy8E4OTuPJ/rqxTQAT7YMOCMuhNXBnwYNsrP2//c/u6EiiAsOeXCosDj1LFD/lskAh5/SJ5WVdiBGiPp2I9a5W/A8itSBXoBgS8hQ4kAqYtCzbDgvRqn9qLZNoh54090QE/uY3yx1OcikUrtDy5nq331n/+QI3dXT0KGJ04I+n8rnDtGmkDllvo8erQ/6BLVP6wZGKimxjx15efY0L8dluRyPyksJgUzz2w6NanmbqCV4iF5zmWjry5naQVLLqHlVnXrrRAkDtDnM1MUqGcmMyiz+T5D/j43EYDitl0wuY90d9EzV/Qqi+7Y4+VJqRo4ETj3VXHsyysrKgFde0f9t+3bgj3+0R8rV+eab8AO0Tj0LwqyH6rX0yQsvAC1a5H4mR1RGs1aDO4CdyaHWtcxkOYxco54Xu3WL/k0HIeia8ia60aCzKZCtI26ITZ0KzJgR/7du3YBLLrF/VzOUVWqQSfDSXjGNBp+JDHkK38yZsWzROXOAli3tDNogyecOXa1Up8x3U9AnKKtX6zNeH3oImDs3frrTcVktxyNqeRYU2AHosNt9uSpqCR6iN13HjvZxPZ3SEZyl7MMAbQ5TT4Bei43rmO6Euh045buP8v+xkRgMp/WSyRpkcjeZTHc/TLb7ttxIEydfSo0p0CS6y6p/FwMDRYFTxpjIkujY0fnvmaa7QROFu9q6wWvc5qtfv9jvUcrkCJqfmm9B1iHzyhTYiXK9zyDJNQtTvfiWz4tAegY9C4ppwKmWLe2f6SpBIR93RQJBNgWydcQNsVtuSQzQArFpM2c6v8+aNfqLdS/dqtUMeXHTa88ee3oQNTkzIagM4CD362xwzjmxAO1558WfTzNV/i7MzHfTwEhXXglcdVViDVDTcVmd1y+/tMsZrV5t7z9RaG/lqiBv1Kvl1+RyG07vr+tVl+4BiHUD0FL1wwAteaLeCZ071z7ZNW0a67KlO8ipdx+jUrskyMaaeC9TVkOQF9nqe7mNlp0pujvpmZqHZLtvX3FF7HdxMszERUuQgxYESVdzEEgtE1s3eIm46N64UV9nKazloqvBLBpKatcgMShU2INDmW7QhM0U5Msk0/Ycdnc5rzXf1Dpks2ebuzoHSQ3sRL3eZ5DUmoWpZsqoQU0x6FkUhZVxqTvuJhvITsc5LBWm44zYp0aMACZNMv9/x476i3UvNwR15Q8eeyz1mpyZFsT2KB9Lg9ivk7kBGSVRKl+SLrqBkUpLgaOOsv8ur6+8vNixw63HiChnlA1BfjkoKXoniOnZ0DshyBv1pvJrbj0916xJnCYGYUsXeQBaGXs1VTNWjtu6dasFwNq6dWvYsxKa8nLLAixrxw77J2BP8/p/4rXiue4xfry3/1Gnl5cnzp88zfQ/pvdw+l7iNaWllpWfb/+en28/Ny0X3XeWXzNjRvx7Of3d9H3U9WL6nvJ8i+fqPMqfrVsm339vWcuW2dOXLbOspUvt39evj/+fGii3ylHD8T3Vz3Vaj6a/65aD0zpI5X1M61N+LFrkvExNnL6n/B7q9jJjhrft2uk7uc2Hbv3pXjN+vH6ZjBvnvF6dtou3345taytW2Nuf8PrrzutAfV/d9xTzJC9rL8vL7X3F4+uv9d9TTJf/Lv+v47Hs/08o31HueHxT50f3neT9Wd2nndaT3+3Jz75gWfbxRF3/uvlS39vr+vayHZq2Z925yml/d9pn3I55pmXudL4Sf1PPGwUFlrVhg36evHCbL9N38rqtmD7Py35m2pfXrk2c92TWm9M+KaavXatf5vLxS358/7152zBNc9uuTe/htDz9rlfTdqvbZ1esiE13OsaZ1pE8D+L3NWsSl6k4Njht027HQstyP4e5rQ+/n+d0/DFt5077lm69zJgR2w5N/6+bP/W9dNt3fr5lvfxyYjvQaVl4PWf4OY+p/+fUhhDbo5d9Wvw07ddu+5PpfCm2J93D7zbiZfm4nRedloHu/77/3l6Wou3wzjvJfQfd/h3Ud1N5Pf6p1q6Nbf+m9zMdM3SvczruOc2P23HZtM15Wa6m6abtdNw48znVbfm7tcFMy1d3THQ675nmx20+TMfG9evj28pim1+/3nkbFduP0/HDaX15WU+61+k+V32MGBF//vRzbPZyLhfLRz1PL12a2P4xrU+ndeg2v7nKa1ySGbSUlGweNVYuwJ1KdwVdEXoxvX17c/2wZDME1cLho0fbmSctWnh/D6ei/dWh+6os2cyUZJkGLejdO32f6Uc6RurUDV4i6LqgAcGvA6fRyE31i4UtW+yfoiaiyMQSWRRhDw6ldiH02w05XfVQ1eytli313cvSybQ9Z8u5Slc/b82azGXurFpl/8x0XVC59IzI8rvoovR+JqDvTi4yWExlKTJZRijdTANOBZ0ZOGuW/TMd2fXZPNq0qRbvgAF2d2oxMnuydNu3OihjFNuBQWyPpv06WbryEZYVfH3moKltIXEe9nMNkW28DIzkp0RbOmu0y20jcf5NhTomhDw908IuwaW2a7329NT1mpsyxT7XpJNue5UH5QPsHj9uZXJSpSshKEoQ5VL7J4oYoKWk6AIvUa2HqAqqsaYrQg/Y9cHat3f/u1+mC3Y/jSunov3VzcMPx4Lzmeiqbhq0wEs9Ob/UekteBufL9EidbdrYXXnUhk7Q68CpO5+pfrGg1kSMQoNEDaqmsn781ENNhal7WTqlexCSdNPVzzPVQE4HcSGQ6bqgaukZrzex/Nz41JUd0nUnF+cFr2UpcpEckJBvrKxcmdz7XXwxcNdd6QluZfNo0061eIM47+i2b/E819uBpv06WbqbGUGTbx6L7TfVm2SmtlC6gzxR56dEm+kG0+23AxMnBlcSTA7EJct0sz2Mc1eUSnAl44svYrWH27RJf4BWR2yncqDW7fwp35SRjyNetwG1hCAQ7Vr6uSQ/7BmgcKRj8JHS0tgO3LWrXesnineU8/KCeR+RAagSGYBuf/dKHFzV90rmgr2oKNx6sU7EHeNVq+wTyMqV7qMcp2Lo0NjvX3yRvs8RdNtDQUF6snanT0/cF486Kn7QvigYPjz9n1FSAqxYEQuyLFtmNzAAu/Eh/+2dd/TvsXRpOA0yHXl9ej3GyvuUeA7Y31teLitWpOd7jhwZ+xxAv5zFPALe9vuyMv0xQ33u5z2jZOpU+/ggTJmS2bp3b78d/9xpHygri1/e8nL3y89NLHmQwY4dvQUaZs+OP2+KjF1Rs1Asc5EpA9jnTDkYc+SR0ThnZoJcm1Y+1vTokdz76YJbRx6Z/PxFiRzM9rsPlJTEHyOBYM87uu1b1GKNUjswHeRjqbxfR4V8bhLZ0xMnJp7ju3Wzr7P8WrQIeOIJO3h4++2xm2zPP2//jHod4ii5+GL99Bkzkls3Mvmcq55/s534PqY2dtRFqfawfA3vdv4UdZfV44jXa8GiIvv95c/00v7RnQvTfU2fa5hBW43oug4GeWLWDVilu7OjZtqKrIxM7bh33w2MGRO7EPzrX+1p8vypd5x0dEXo5SxM9e/y//khDqTqhWu/fvZ7ZUN2iBfijqB8pzVTWYuZ6KpuGrQgHSd8tWtTWF09TSODO3WjF6/dsiWWBfzaa7HXq9363eiyquS/tWsX+5u4UFWJwX2isK+p2Xxess/U7AWxr3XpknjcFcc/v8vZial7mWkevXS1dcrK1WVrRLH7rpPhw4E+fWJdm73czHAaGM3vuvQzwJXfQWfkwKpKl+2mu4mlDjIosm379nU+pqqlgq68Mvb7iBF2tm6HDunLlNG1L/x2Z9UNTpSuAUNEd+4FC4AzzohNF+22qA12GaZUBkfU7aNezzteB63KxPYdRfKxVPe9wx7sSw6WiOxpMWDhiBGpZ64NHKifLtoSuRqYTwexrNTu5kFkFaqBt2xgauOrxzLxfeS2n2lg7XTR3Qjxk02aLeQ2RvfuwOOP2xmww4bZ05Yutb9zOq8FTefCqPREzAoZqokbGg4SFivI7DToiNP/uRX31v2PqfB3ebl5IIcxY5wLazsVY/dT5FwtwK0W9TbNn6lwuXgvdUAh9e+m7+NWdF0dvEMu3q1b5qb1p1tHpuLgYQwSJn8/eVApL5+jW55iuhgQQR2MRAxW4lYk3Ushc6fvqb6HOmiBl+06lUHCnL6X2LZ0A7Y4LVcv8wxY1s036/chdaAmP4/x450HUjAtL6fjhW6dedln3QYpUaevX29ZK5aVWyvQxVr6jj1ImFpw3zSQgNt+5fS3ZcviB0gQ+1p5uXkgCXk5+9kX3LYZp+UsD9wgyAOhyYOZvP++eYA0+fvq3tPLvqJbB16OaW7bltv5yst8maY7DYzmZZtfu9a8Lzite3XQGXldqP+7YUNiWwSInT+nTIlNKyhIHEhR/P7aa/rvunhx4jJy2uZM+7hpXTutB93+or7GqX1heg/d91Ef6qA2fgcJczuvvvyy/nPVgTVN50D1mCkPFhbUIGG6fchpn1IHf5MHsfTyeernqG01dfAl07IwrWPTdPX/TedZp8/w075wOj66LftklqXT672cZ53Oz7p9zG1f9NLWNB3TnbZFQR74TDx0A/F4PTep+95LL1nW3Lmx5zNmxO+Dbsd6uR0htxHlNntUBwlzWy9e17Vp2zLtq6bPcxpEyul46bRc/ZyTnPYHp3Vgmn+ngch0y00+v8sDa5vmU75+k7c9+fpNt/50x4CrrnKfVz/7utt2oTv/e1lPyX6GeH8vMQz5/U2DIfuZpi4j06Cjpmud6oSDhFGCsAcdEUx1UEeMACZNSt/nmmqpqRlH6kATbsTyM2Vhprp81S6B6vSoUuugimVuypRW7x6LbK1UMxrSXXfLb0a4l0ELMiWVjB8vdPUG3eo3yhmis2bFupSlo/ajWis7iIEZnNhZnzUBrAQyWN9WPXa0bGn/XLUqln07c6Z9DA6zxqauq62uNiMAvPACcOutseem7JNc774rS2ZgNLVnjej27IcuS91URsmpNjtgl54RtcFXr7azM3XnAFPNWLeyP0HXo/RL175Qs7Hc+BnUJiim5ZpsiZ50DhbmlS67J5Uay2pbzdQjI1Vq5lk66/qmU6r1EYMS9HLTfa8nn7TPu40b28/lerK67xtkr50+feyfoqzXuecCl1zifzmbeuJQ9SV6WIj249y59jlVbOcqtcY8YLcVTNdDpuu3v//d33zOnm2PO6IyZZMGdW0gt4PSlakvPkP0ZtG1A9XjmtyL6cADg5sXwTToKBCNnohZIUMB49AwgzZ2tyIqGbSm9zLdoTLdmfR7B9B0p09k7jrd4dJ9B/V1XpaJ050503fRvc7tzpZueenmJ50ZtG7LW/1M+Y6onNkiZxd4udNtyqCVs+3Uz1P/R/5MeV7kDBvBLSPcbb04PXfLzlY5rR/d93rxRfv3++6zf86da1lz5ti/qxnayWTQmjKFdNui0zo2LcNUM2i9PkzbWLIZtMtwTNW0TGTQqq9zyrhyOgZ6vePttM3o1pfTepMzaOXH+vXevrvfjC2v5zTTZ7gdv93OV6b50mW5e3kP0zTxXNcu0K0jL+tevGdpafz7lpbGXuOWQavb503bdGlp/HzPmKFfb/L7lpbGviMQy+hx+yy3/VN3XHHatrwcL3Tz5bZ9m46dXrdbL+8nbydOy81LBq3aM8htm3bap922dXX56rJ7/Hye277udpxLNoNW7D9O2WJu69PLMVK3LETPHxM/5zFT28lLRpvTfuM3gzbZXl+m/3PLYBOPUaMS27hu+71pvTidY92Wj58MWl1PHN3nua17p+3FbRt0+n9TxqWpB43XdW1adqb1ZVqG6nKS172cca/LbnY693jZJnTTTec20/J32q6cHk49WBYt0r/P+vWWtXChZT3+eOy6RGR/q+0L07FX/NS1Odz2Gy+vd9ou1HaQ1/dM9jPy8/VtIPX91q7Vz5faq9O0H7jtG27nFq/7fK7yGpfkIGHViHz3KJ31L8Mg30EyDVgyeLD9GrX4Ogvkp4dpYCDT8hYZNUCwA1uJIuei5pDw2mvm/5E/U54X3SAA6uAebt/TK3kwm6DucKrfa9Ag+/frr7d/Dh0aq1M0fXr8QExyzSanetG6Ok/pzkxNljxIFpD+gRmKioAjuwBdEFsgYQw4JLKSs2FQCnVgQ3l6LpLPZTL5OBREhpfYJ3U9a5zmywu1zuvo0bH/b9NGn6WbTB1wuS7v6tXejrnDh9uvFeTBIv1Kx2CrQUl3fb9UB9Y09QzKpGwZ+E3dzsS+ZVrHyZy3ncjZah072j0XUh3wZdWqWH3EOXNi05cuTX82eLqpA5MC9nc899z4102bFs3BW4HE6yjADsOI3jdANOukyoMiyefKKC5jQF9/GAiuh1+myO1HeSBeQRyH/AycPX26PdbKBRfErksuucT+KbcvLrsMWLjQ/t10raHrteMkiGsDtR0kvrtu+SRL/gxRh9+tXbJmjXMvpii3a6oTBmirEflCxOvFTDaQA1kdO9oHKPkELR4vvGC/JtVSAeqohMmOVp3r1MCKW1djdXRUMap8EI11dUAZIH5wGJX6mU4j3Pv9nl6pJ14g9ROn+r1EMFmM5itPGznSbuyKbm3HS13yxWBLugs0XYMzql3h5NHZxXM/xAVytjVodMGRKF5sVQfyhfCtt8afy+RuaOICIYjGvbxfq8Ro56qOHb1fNJrKKQleBjwD4s+1gP1Tvukjn3tN860TxI3pmTPju/07DXzmJh3HEfmmXirzZqIG1NVRm8XvYZODleo2ky3kfUcmLqhV06frz9vJjDK/caM9kK5QWWmf/003rL3q2jUx+AJEO1DulW7k8/POix+MGAi2jRu0VEZ/V6+RMkkNjsvt2SgyzVe2XZ+rbcmPPor/uzgOqeWFAPt8rDtHjRyZeKPjH/9IfF1lZSwBy3StoQsMO0n12kDMl+65uCEYBLe2lo4oD6Xab79g2zWUGtagraZyJXMWSAxkvfyy/dhnn/g6fEGNYB9mzbQwmEaMDroRrb6fqFmTbL2asjLgxx/t35cv95YpptYdElq2tN9LHSXdVD8sCKY7nKmMmK3Oqwgmixpl8rSiIqBBg8SajQAwY4b9c/r0WLBWEDWpZH5rLGYLEQRJtnZnspzqaWf7xW11Y6qxVlkZq8UKxGf7pUqtAy8UFABTpth/V7PzRHZG377u7YdkasPqqPPXrRtw4on6v+mORemycaM9wrqaJSwfRwX5fCGfS+VRrlM5jsjBxxo1YuvNy7wFSVfPPNljvrycUj3HyvtXtrbd/Nb/HTkSOPXU+O+b7Cjzq1fHn2OE0lL7M5Klq6OcLqbxEDIt6DauStd7SUz3uw/pamV7Hf09jP1Mbu8DsXXcooX9M6rtItN8ZWp+1X0jiOOuLiFGkK8FvvgC2H9/8+srKuxAprx/6Op6y+0N07XG1Kn2eTCT9eYzUe8+mbaW6MUkEo7k+dK1awYMiJ9muk6mYDGDlrKeLvBWp076uq/JXR+C7KoQVbqutZnsLqRe4Io78qbudYsW2T+vvjo235demvg6XcaV+K5qF+Lp0/VZ2VdcAbz6anyWQCrd/mR+ugKlw8KFwI036gPFTlkJuv0s17Iz1SCIGkwzCSqDSw6GyNtqVLvxkZnI+HnkkcS/petiwlQ2YvXqWHarLgujosK++enWvXnq1Pjj65Qpyd0UXrYsfvC8/HygRw/7d7XLYSYzpHQDnVVU6DMaTeVy5GCyfBxRz1VuGSziYlS8t8gk8jJvqVCzfsXyD6JsirycJkxILRPPVIIom6j7jti3TGVBdPt3sm3gTp0S2yIFBfa60ZUT89r+kTPU0j2Y2n33xYKG6jkzl5i6y/ttF8iJCHIw22vQLsjeHl6pbXSxju+80/4pZ/UG1UbPBXK2vVs5N69MXeiB+OOSOH65dbmX9eqVOE0u32i61lBLG/ml6yGiI9/YVttBDz2U/OebyJ/hp3Sl3ItJlCvSrQeRkatrx+TqcTQqGKClrKc2HvPzgZ073QN5Ol665sgNyyC7KkSVHJAOo7uQemKQR53XOf10+6fcbR9IzNDQnSzVukPCyJH2nUXVggV2Nz35RBVU7Sj1xAuknvmuXuzLI7irBg82N7KCKuOQrUzBKzdduwJdA2jU6IIh8nRKj3SUshDdYfv3T/ybn277QWjTJvYd69fXv0aUEHK6gFMvhryWNFA1awZMmhR7XlkZ6yasuxDLVOkhU9BKdwPNtE+KXggqNbtPrt+ro9b+E6WcvMxbKuSs35kz01c2RdTpTPZi0FSCKJulWv/XD13N6ClTgH//W3/TOko3CcU2+vDD8Td6sjFI74XpWOO3XSAHO5O5Aex2faSrb5tq4FTtDi/WsWjzBhV8zDXqWCFO5dy8MnWh9/t63TlLd03itY58KtdPYowUtxs86nghQdW7N5HbWsmWrhSBct16EBm5urJ/uZ6cFjYGaCnrqXepKivtlHw121Nc5DgNnhHkQCxhSEftJ12mQyYDc6a6qaYTkRqYFRfCajBSd7JU6w4JRUV2Jo/ckHnpJXuAixdfjH9tULWj5BNvEBdkfuvwvvCC/7pN1YWuC5GXYFpQA3GZBtiJWsDclHWQTRks8k0NtS5skMTFg3xTZsqU9HyWiVzPXc1UkQe48HIBF0QZJVNGh44pgyod2rSxA4desoTVfVIcA7wGidxqyqkB0X797N/9ZDAnM6iU34FJ/KpuPZX8SGZAvVSoN1iOOCJxgK8XX4xOPVVdDxe5/qtTkN40SKOO7vyWzgxNXcayLKju8rran2J6EHQBYD81knXrRq37K9axegMr1eBjkKIwdoF6AyuIHqemgUD9vj5KpRh1A+vKTKWFMkEsp1SXl1O7RleeJdeT08LGGrTVSLpH9Q2SnxPX8OF2fbUOHeygUosW8XWtRo60MzxEBqR6h0uWSl0suctfKnVCU5GtNdacqCcGkWG0ebP9c+VKu7aaqOmn1to791x75M9Ug1dFRfF1A/v00dcP8/s58gWBut2IE24QF2Smbrkm/frF1ykKglonLJuOSTKxPkTtJrl2p5NMl3qQt60wGrty1oEsW0YoVm9qeC1lkQpRl231anud+d3/ysqADRvs3001T010AxMKX35pz5eom+hlPgS1tp2XeQFiGR1e6riNHAkMGRKrmZjuupYjRgC9e9vtDsB7lrCuW7f4Tvn59vlNzqLV1ZST62iKkj7q9DfeiNXrdZu36dNjdSXlQaXGj4/PPDRJRwkFDmAYXbp25tKldtmOKNQlTLaHy+zZseO9XA9aDsTKtRcffND+KS8Psd9MmJDUrDuS99N0Kiqy29Sptm1N1GM1YAf6W7aMBZ3V4/6zz8Z+79jRDiR5SYZQjyPi3BXWdionimR67AJBPk+ka9yC4cP9tV38vj7TTEkRgumYE/R5Md2SbddQ8JgfVY2ke1TfoMhZPOK5GxF86Ncv8QKooiK+8LWp2zaQWl0stctfGOTaTyKzU82qzabsNR1Rcy/V0YmjQB4x08t2o8ug8LpOP/ggcZpb1mcyJ2enmytqlpuuXqKJrltc2KOEi8xmuXZnVMjH0XRmfjoxZR1kywjFfm9qBEEE/5MNqJeW6mvKeeme6nRu9HuTyFR71c+xWs2sccoqNmVQpVNQNz3+7//sn88/D4wZE/83Xfar3M1SlPRRp7/8svfPV7u5AnbAzesFczpKKOQycWMyW29QprvslW6wKz9t12R7uKg3qMTNOFHH1FR7UT6/+dlv/DJ1448aeeBCXU8+9VgNAMOG2ddv4jxxzTXxbcW77oq9Vs7a95PxnE7ydZaTK66I/a6rOZ4J8nkiSiVJvBD7sdy7Tx0QLwy6Y44ot5htopS5XJ0xQFsNiBOXmnof9gnNRG4kAanPq1PB8iCoyzddXf68kGs/iS6B8sWxOjiJX+rAIGFQgz3pbBCnkzoSuJftxjRYmVvQY+NG4K9/TZw+cWLy86+j3lxRiQsMXZ1EN7puccmOEh6UVINp6WS62MykTJZiSEc3U1Ot0WSI+Vm0CHjySfv3J5+MDTIY1IWFOiiS6NbpJYASZEkTXc2yZLqXyjc+ongjJAhnnGH/HDw4PhAB6L+vfA5US/q4lQDSSWZQKflC+eabgR9+sJ+HfdMsHYIOpIqb+U69ucKg3sw3HZfSXfZKN9iVuBEvt49M60Xu4SJ+eikXY7oZZ7q5efXV9k953wlyQGJVGDehkiEPXOi11IycXLJiBfDAA/oyC0JFhZ3B7CfBQeZ38GE3avDeVI5C3cbUmuOZEsZ4IkEQSRFye1buKRNWcpQ45uTlxaZVVvpLQiGSMUBbDZhS753qmmWSaGS9+qr90zSKYLLcCpaneqKO6vIVJ171Ak83OInXu79ylrCp0epWd1L9u9/lrV5I5uXFGkN+hJ29Yqqv6NQlRs2g8Br0MN2kCLqGkHpzRRDdcN94w25gJZP5oauLFlRN11yU6czPTFNvZMgXg926JWaG6IIPbvxkcLoR5R4GDrSzhYD4rKFUMlnki8GysviLPj815XQDEybLVLMs1dp2mZSpGpPycczLsVE+B6olfTJVJ15cKFdW2jd93W6aicDt/Pn2z6eeip8eNXL7xhRITbYto/bmikqyhHoz/6ij7K76yYxn4DYegq7usZiuCxotXQo0aBCfqX3AAc7z4LeHi+lmnNrOEM+jVvM9Kvwez4DEgcWOOCI+GK0bDPr++5NPjPE7+LAXcq1sU010OYAXpmwd6FcEQq+5Rv/3VHtnpXpd+Oab8c+jmuVO0ccatNWAU+q93HAqKvJ/sJZrywHJ1fURjV+RRaLS1WDzQxS+LimJ1YuUgxXiwhmIryWlZrKYmLpTpTLPQRDrcuxY+2Lj7bftiyddbT632rW6LGH5DqZc00juDiYTDZ+g61ImW3c37OwVU31Fp66iam0wr/UgdZ8FBN8t1ZSpLrrhpjKKqa4uGmsTmnmt3Zmt1Ppt4vgG2BdJRUXx9fq8HifUc5oYdAmIH5HXb13fiy+2zynPPx/fLf3FF2N1WZOtL1haCtx2W3L/K5PruYtauNWZuIhPd41J+TgW1aw4lbhQluv2A/H7oUxME2VPLrkkfnqqysrsx5YtwKZN9rQnn7TrWjZu7O+9dLWnAWD5cuC442LTddsH4L8t8803mRm3QK1PLdehBBLXJWC3nadNM7+n3J1drs/qdrzV1T0W02+9NfH1zZsDf/lL/M0n8bvpWOy3h8vUqXa7VtSDvukm/XUA2x3O0nE8e/jh2DVHQQFw7bXAvffGv0ZOcDAF/9u1s38fOTL+fCuui0aMACZNSn1+Bw/W10S/8067xwGgrzkepLDGHsgEU6xCHPvFevdyA9DLzTiv1KQX0/avJoaFlUktz4t6DKeQWTlu69atFgBr69atYc9KaMrL7VNAQYE4Fegf48fr/6+8PP45YFk7dji/l/g/+X9M76V75OfHfi8tdZ4f+XPWr7esZcvs3995x/65dKllff+9Za1daz//+uv4z1qzxv27mL6X/LtYvgUFljVjRuJyNC0DeVmq7216ndt6kd9HTFN/Apb19tv2z7lzLWvOnNj0Gii3ylGj6r1ee83fMpLfW13O4qf4u1hP6nowbSu6bW/sWHs96/4unqvrXfca3TZrmhe3+VPXq26/mjEjcbsR2+natYnrULftm/ZZdV7lz3KaV7dl4TQ/8n4rP55/Pv75jBnm1+u2Xbft3bTO16+3rBUr7IfYPpYutafrvqPpuGbaF03LyjT966/j9y23dep139Ytu9LS+G2rtNT7enc7drkxLSe35aybB918iIe8PZuOo2L6smWxc8OyZbHtwWk7Byxr3LjY76WlsW02Pz+2THXrxm2bcdu2dNuOad/+/nt7G1fPfU7bl+k4Z9q2TOtG+P57/fLVbTu6zzYdN9Xv6vV86DT/pv1KXU7iOCGfy0R7Qv0epvaOl/OD6XfT+nJ6vdty1C1DL201v8tT/V1tD7hNN82zaVscP968D+vm22mbfv11/f/m58e37dTtQ23LeGknA/a5XrdfeG1juJ2PxDTTMhozJvH/5OOlfDwxvb/6MP2/fG4Wf5cf69fr39upDbpokXO7wO08L7/uqqu8b0Ne23pO68TpWKx7D9M+6bROTN/f6znJ7X38/u50TFu2LNZmk9tt8vusXWtZGzYkth8LCmLtZ91j3DjzOUi9TjDtk6ZlZvosp/P/2rXx7TK3z3HatgT5/eQ2iun9ndoTbuvBqa1u2hb9XGs4bSdej61u87R2rf46RL7+8vK5Xtq68veV25Ve59W0TYjzkLrvmK5z1Oc33+w8L16OBab16XYtJtpS1YnXuCQyND+hYYA2tqPIASr1YnXFisQdxemCThfYe/HF+Isyvw0S+SHPq9sFpvw5poPe+PHuFxrqw++Fg3piV5ej6fuEGaA1PdQAra7RIwdH5GUlfne7cEy2kagLtMoNM9Pnvvyy+fuGFaC1rPiA7IwZ8QEgceIUy9S0L+jeWzev6noMOkArBwWd9jGnoLnuJouYbtreTe9vOh6I6W4XbqZ17SdAqzaY87EnIwFaeb/10tjMZIDWdLPEb4DWtI3plpHpuK2uO7GvifOiaOSK9Sd/ptjW0xWgVbcd3fzqGr7y8djt/GnafvwGaN0CZE7blWn5OF1YZCJAazpH676H7nipC1SnO0Ar9i21DeX0vby01VIN0Lpd2Dpti27rzLJiQYWXXop/H7Vd6iVAqwv+iEdBgd2W0O1vXtta8o0zp33SrQ0kfnoN0Mo3UYDEgLLbdqJbN/KxZtkye3mr2778Gi9tLd30tWstKy9Pvzzdzm/qe6rnH/l1upsy6rVAWAFaNWiYDQFaeVk7BWjdEmV0y1iX4KDbLsVDtCF13028v9z+lt/PtOzUh9in1Paql/Ob2+c4bVum45YpMcspQOt0Lo96gFb9/vK1k+4zTDd+3G76eFlfTt9XblfK243TvOqum8rLzdc5I0bYP9V2iPr+pqQp0zowzaPTNYppHkeNSrwZkOtBWwZo/7/qGqCV74CZLtrkhpjTHTOnRoT8GDfO2wWL/N5eTwLy5ztdSOnuys+ZY1kLF7pnWDrNg+nAZLrYkfm58FHf2/Q603rxG6CVtwn5oKwGaMV7uWXkeTlRqScBU0BXfD/1DvDVV+vXy6JFzp8blQxa9W6nuKCZM8d8Uei2L6jbmq7R5XVeUwnQlpfrg/mmdaLbx5yCqqbt3fT+InglHxOSyaBVj1tqhpT6vcV0/d35Smstij2tU6/7tvxeum3A7QJNt06djl1unC5KAPN27jdA6yeD1u+y8Xrec/oM+f91jV/d65y3ncRghFMmhtP2ZTrOmbYttwCtKfij23acLj68BminTIn/f7WnTRQCtE7bSroCtHKAQTdvbvuG23bptjzlQIu8DZgCMEEFaE3bltMx3ul9TJlnftat6bupAVbTPmnK4lPXsdcArWk7cjtGOp1n1H3D7XiUbIC2vNwOmMlBWtNNK7floR5X3c6tbu2XdAZo1Zt0ctAwGwK08rIWx2zd+5uy+C65xHkZyzehnY5XTutG3hfV/eyFF5zXvdP2rZufdAZoTZn/bvOpvpfaI0cO8EU9QKs+TD2PxMPUznrnHX+f6zdAq86Ll+UnXqP2MFZvKi1bZgc+TcvEz/HA67HA9P2crsXOOUc/f2pv7lzjNS7JQcJyVGmpvxHP5der/6ejKwLvZTRIdaRLIFY0PdVBSQD9aMRiIBavo4mGLdVBtLy+PxBfsL5FC/f/lQddUAcn8Upsh6LumNN2qdaCA4CHHkp8nVPtVlGDaMuWxP8Jg1y37qijgEGD7OfDhplruEZ9MCx5mxWjeSdr5Ej9yL2644tbQX911GMguYGK1OOWWmNw9uz4mtMPPGD/fO893TrNwzcIuPhvljFt537k5yc/YJcT0/FXfKbMzzFEPe65MQ3spw4imKnB8+Rak7oR3tVzb7prqV5xRfzzyy4DXnkluQGN0umvf83s56kDUGWaXNM/CqNrO3Hapk3tm4IC4OWXU9vfRG1U8dPENDK9uo7DHvBUJs7T8jIJ6ng0YkT88e/LL5N7H3XfiNLyk+lqIfsZCCsK5GV95ZXm14na1M8/H5s2Z06sXrvp+kfUWE211qpuUOfKSruWbLbo1Cm1NoqgtpvFwG3ZyGnQZSBxIFjhxBPNA2GHRRyn5H1K1MwG4tfXhAnx56iwBysT25RcE/rpp4FbbvE/6HV1wQBtjiop8XfRpr5eHo1SR3chpgt6qAe4sWMTgy9i1EMR/EsHp+8TtcaZGsALYnRRWSoXUOKCYtGi+IDU3LneP980Iq7O6tWJjWndheeUKeYGmikw8sYbsd/FSSMdI3SrxAWMWN733Wf/vOUW8/9EfVAKeZtN9UaI7iaLmA4EW9DfK7GNikaOOlLsZZfFb5djx9o/L7hAN2qvhf3g0mrUEMcpt4uzTI08n0mm75zsTSIn8iCG6s3EqVNjFzwFBf4CxH6DFGJgP5V6I0p3E8LL8cLvRb44jsojvZeW+nuPIOnOCwMGBHcj1mmUeRPdMr3nnmDmJ1uIQIsq1dG108G0Tc+cGd++EfthQYH99/799fuYn4FpdNTtx2tATheECCuIJ87Tfo9HXsntPLcAt1duQZyw6Nq/8kBYmZbqNqUOUiofSzdvtn/+61+xacOGxRIYdNcn8jFad0PVj7AHdQ6CGmx0aqPo2ony9FzhZSDk4cMTp6kDYbvxcw2cLN1NBNPxIKgb5qnuVzLdDae77gKaNbOfixsBfhNochUDtDnK70VbOu6Y6bIf7747tjMK4nOCamzpOH2foII8bhlGXqkZCKagULJSuYAS31ENSDndGVep26HTdun1jrDuBCuYAiOvvBL7XQRvu3WLBRvToawsNsqoWN7XX2//vP12+6ccAMoWuqwZJ8leyJpG1073TRaxjZpuRpmy1Swr/nlBAZCPCrSB/xkWx6mOHZ3v7OuC5V6266COX+lgym5Jx4WqOD6qx1/APs6sXm3/vnq183FH5TdIoV5siePgli3+LqjUBvbKlfZNIb8XpPK+HYVMB13w+oUX3G/Eeg0yTJ8eG4leHWXexHQBVZ2YLq6CvOgK6lil26ZPPRUYNUp/TF+9Wt9O8tMryImfC3CZGoRQe3RUN37bA16COF7J22SqQQ1T+zfI+fXDre3hRm3TysdSse+o7+90/VNaGjtG626o+iGuP9Xl7TfzMN09IN3IbRKnNop8I1peZum8/skEdRtLJa7g59zt5xo4WbpjerLHA6/toFT3K1nUbjhFHQO0lDa6Lpqp7IzpOvEF1RUwqAwjNQPBFBRK9m621wuojWid8DniO+rWazroup/oShw4MQVGdIHqF17wVqojWXKDUiUuFkUmeTozyoOmy5pxksyF7OzZ+hM8EP4JXhcsEuQg7RdfAPmwzC92IHdrdbqzrwuWL13qvl3rjl/paqy73XxQL3J37dK/RzouVE3HXyGoLpVeyBdXYp37vaBSG9jdugF/+Yv/8556szfoTAcRVPEaXHn44cRp/fq534j1GmTwU2pFMF1AZVKmbvCpQVI3QWYYBdXW0m3T27aZe+2Y9nk/vYJk6k0D0/bzwQfx0+SMXiAxCKHeQJc/I1eJnkiAe9JFqkEcpxvM8jaZalBDlxFZWpqZcw+gz+j2k1UIxC9rte2uO5aq+44u808cc7p3B158MTbdreenF2rZDL+Zh6YeOOks8VJWpr8p4HQOUG9EC+m8/vErmZsB6nVTKr0j/ZxDM3EjVhyn5Ply6j1qot7Aczo3L1umbwfp6LKy5XbCrl3RuuEUeRmqiRua6jpImGAq6K4OBqC+fv362Gi4c+da1uOP24MY+Sl8rSu+XVDgbyR5ef6cRioUBczXr3cfeMBrcXG/g1eoo9mK0Qj9DL6hm0+ngXbUUUb9DhJm+r752GPlY2/V54iBCnQjo4r16rQ+k5luKk5uKv7vNpiJl/Urf1e3eXGbP902rA6k4/R/ToOZ6PZdy4ofgEweiE8dUdZpXt0K9zvNj59lbdqeysv1A40VFFjW++/rC/o7jcqsW2+6/dfL/Jt+lpaaR8tV9w15AD4gcXALp4Es3Jar10EbdOtdd/xSR5pVtze3845p3zYN2Of12CyWuZfzm9sAOH4HTND9nzwQgjywhjywnNP5RLfM1PlSR9oVD92+LX/WsmXxI9vfdJN5mcrHDXVQJ9NgJbr1bto2nbZrt8GtnLZveVmI5a8OUqb7LPl76o6tuvkUg12og52a2h7qYGZu7R0v50Gn16sDUHnZbnXf1euxXX2Y9m230cR1+4VpXZjaWrpty+kYr9umnUZCN23D6ndQB0A1fWe3EeMLCixr8uTE+RHPxbL2MnDOokXm+XY7RiZznnHbvk37l9N00/zffbf+Oy9YENtG5H3Vqb3gNv+6h7yP5+db1tix8duB6XuZ2pCmvzkNhOXUXvNzjpM/2zTCvdu+JP8uL2undplpWYvnpkHE5OtCt/OD0znIyyBPTq8TD/U8LbYBdWBZt3Um/v+552LTxLlenX8xkJpu2bi14b2cp03n1fXrY2110/nGyzZTXq4/XxcU2Mdjt7ar0/oybSumeXUbCNv0/uL/MjFImGlZO+1fcdf3hvObW5vXabkB5n3U9MjLiz/veb2+yHYcJIxSMn06MHCg/fvQoXYtxWHD9K81ZVLosh+TudsjmLpRz5wZu0sZZveMTGUYCekcMKASBahEQdXniLvm8nd0ujOerZLJEPDDVF81KKZasG77hXxnOZP1eE3LwtTVc8eOxIwSIDEDJuiSB27vJ3d9l+fLVANsNmKpkaaBYJykIztOty4yXeJALGf5rr0pK8ZPeYFMkbvF++kapqt3qhuEC0hcT27nmC5d7MHqhL/9zfxa+bgRdMaPW9ffIAa3MpUlMH0W4P97Tp+uz5AzHWOHDvX3/qnyOgBVquR2mDwQmil7McgMo3S2tdq0AaZNS61949ZDRAwiKW/zurbc6tXA0UebM3rFgJxqRqdT7WrduT7ZmrlRMWaMfvoZZ9g/1fZQUPuG2AfkAQsrK+1SbkDwAyWmK3NWzaATmYtBlMkIalmrPd5ESZIoZXwC3ntAuhHHjiFDYtNM1yYzZuinB7VsTOfV0aNj20gqpQJnz9YfKysq9NcCyZgzx1tbTB4I208bM5PXwKnuU+nqAdu/v/1zwYLYNHGM1GXivvdeNGvTR0aGAsahYQat+x0a0x0zOesGsKx774397pSd4nSHxenOkVtmg3qXSM5OEPOTTAatKbNDzXwxLTvT3WzdOnD6Pqb3Ez9fflk/P4sWOd+hSyaD1vRwuzPu9DlBZdDqMnSc1m8q39dpXkzzp/s+IstHzbpy+j9ddqOalafecRQZj2rmzosv6j/bT3aC7v+8Zln5mV5ebs6gVe+mqxlE4iHuEJvWmykzyzSf4v1M60h9HzFfa9cmvn8Byquy0+XvJr6z6dihu7MfZAatl/3B6x1u07FHPEzHsldecV9Hbt/JtBxM7+knu6i8XJ+lLvY3OdNEfY0ps7C83LLGj3ff//wcJ03zLB5jx+oz0YHEjB/Te/ppbyT7UNeNW4aUuvy9PJLNoFU/x9T28HK+85JBKx8TnV7vlgXjtm+Ytiun86ppW5Ifptc47RdejtPqtujW5nRrZwq65W06Npu2dVMGrWlZyG058Xm6jF635a3r0SHm3XROB+KPV/L2HNUMWtO2Ix4zZsR+nzkz9rvp2Gaa/2R7fMh/V9sCpu8krwu1zeb12sFtmarHCN32pba1xOOvf3Ver17Xvel7m44z6jpwa9uFlUGrZs6K5+p0wHzOAGLZ3/JDtIHV+V+2TH/ec9omks2gVbcTL9ubaXmatj/1+7q1XZ3Wl9tDbR+J9bN0afx003YoHqZrkXRk0Hpp6zqdo/xk0OqOW6Z51PWC8tPG8Hp9ke2YQUuemTJb1BGyf/459rt8F02+y+RWUN1rvTIvdCMUJpNFYar1Kd8Vj4IgC4S7s+KeiYwMOdMi3Rk6JkEN6maSjuzEVOuSqTX3TO9hyrIbNMj5/3T1eL3ULU0XXaaILvtebIO67HIguOxyv4ORifnSfQ8LeVXZ6UJFBfD++/bvpuNxsnf2k+Gn7lQyTJk52VCLSpelLvZPNUNeHpzS6bhVUpK4vIPc/9Tz4vjx5syUVM6lTjKR8ezUQ8FUm1UM2uh1tGLdAKxierrMnOm9ZlymsiLlTEwvWc+mQVRSrR+uHi+DyvoPIlvRtC3qlld+PrBzp34+1J5opuUtspXUHh0yp2OKfEzLhsGC3NqCa9fGfpcztfxmzbt9jmkg2wcfjE3r2BGYMMH7Z3rpgRFUTyFdhrY877JbbgnmM/1S18FTTwFPPAE8+WRsmq72ZaaZBgxUpwPO+1jt2onTTBmlXbr475nnVhNc7tWzaZMdUlMFNX6L6X1S6XGrcqoLrhuszjSwrqndFOQ4GEHGSXTGjIk/ZokBqgV52/AzMGAQvaAohgFa0gaPdAcmXRAHAMaOjf3u1qVH7WrkRboHNzAFGlM5yAQ5kqugzmc6BwzIRwXyEFsAYlkkOzqxE7+Dw6Tz4G/qkp4M+SSXnx/bT/yOCgskjjadzEAITv+nCy4EXaIjVU4Bnkw0mgDg1Vftn6k0/vNgIR/xfYoKCoB337V/NwXzRXfWLVvSPzJwMg1+P0zH3Ezd9JEvPvw2hnWldpwa/+L8ZTpurVplz496AZTu/c903lBLLQRFHP9Myyrdg1uZBl/0evMrLBs3AqNGxW8/TiNGJzMAo86qVfbxTgRA1O1BDIbj1eWX66enelNGPl4edVTixWYQdAPUptKuE9t4Xl5sWmUlMHiw/vWmc5+6L8nHbNP+rTumyO8j2idR6zquYzqm3nmn/dN0zeK3W61bm1MesLCgIFbyQ742qqwE7rrL3+e6tfXkoGUyAyoJ8nYo/P3v0RhYTlwXqOtAV3pPd9NUZhpMK0imAQN1571u3czzYUrICaLsBOB8DgHiBzQ2Xbc7DY5rorvOM71PkDd1ndqzumOd6Qa5qe0fZHKBW5xEbvfL7Vev1wN33hm/P23fHv93tWRLOsv+kYMMZfSGhiUO3FPo5e4RTqUCvHQp8JKmL3eRAWKlBOSuA2rR/RkzEouRJ9ttymsXeC/dN9y61Jj+X143XkscqO+vDhhgWg5eSxzIy7wGyq2lONoC4rvayF323Loxee0apOsWoVtObsvU7/rVTXfqzqHOi2n+TN12TEXkTcvHy35l6t5p6t7ltVuX6fW67cztc/1O99PF0a3bkW4f8dp11svDdNxxml4D5VYpRsZtFzNmJJanUAc20T3GjPG2H7h1cXR7vboOZN9/HyvfoZbx8Npt0Gm5ee0K66fEgVM3X7cSB05deNV5Ki93H2jF9PCyztz2C9Pyc9q33ZaLaTtwmgen+RcPt8GtnJa/l+9l+nx1wCm5fIzX45DT670sB6eSBX4G6jF9L7c2SzLbg9pNXDxM7Sa/5wZ1nk0lHtweTscJp21a/h+3wU/8fjfR1nrrLfunaGOppcPc2kCmbctLd1LTutR18dUdc7y2X728v9P68rosdMvB63pxajf7/ZyrrvK3bTp9J93xz7LMJaB00532AfHz6qv1/6eW3FC/q/y7qeSZad3rBlDWLXdTOSTxkMtYyMc8XXkRP+d93fdKZdtKtm0pP0pL9ccnr20kL58jtjF1QGNdWUO5lIpcUsXpc+XzgzgOmgbZdWrbBHGtAXjvwm+6rnObr2RKHOjKW8jboul8JK4HxHLTlW4ALOv55+P/TzeAndvDa5tBzLOXc5KpXZlrWOKgGlLvDnq9SyhnS6Wre6Ns8uT45+JOnnw3WM62qKy072SJO1TidenuwiLfFVepGRXq/MiFsZPJdpSZMkyDzpxV76geiQ8BAH37xqalI6suSt0iglympkLsyWQ9+u3K5tZ9KcqS6d6jZl4mc2ffifp+Yv9ONgtzOGZX/b56tZ3Ro5ankLvHy58JxLKc0lVg38/3KS2Nz2DLZBaibsAbdbrOyJHxJQWSyWr3yi3jRazXVOfBtCxee83ftumUDZxOmRrcSmUqSREVHTuau1A7adky9nsyWTYA8NJL9uAqOqY24pdfen9/r2bPNpd4SKV3iS4TSZRJkP8mMslE1/hU23Vi4DixrYk2ltoDzWvZjVTJ2dBuXXyj+P5A/D4R5uBn119vLg8UVO8A0yCqyfYY0mW3eymfJrdL5es3ef80rfvSUm/z5nb+PPfc2O/qsVw1cqQ9sJif8k3pLqnm57wfZEap27aolgvS9Y6VS6mYSgWqdD1BTCVZdMe/oHuNdewI3H+/+bPVzzVdp/rtCepEV94CiJ1z1J4BpusBXekGIHH7V8/lybQ3ZHJGfrr3n5yWoYBxaKpTBq1poBHdHZpkMiqCyqBNx8MtE0TOjHEa/MTL9PJy5zuxbvOj3jUyZQypd+zUO3e6QQRSyaCVHzVQbpWjhuP69ZtBq8uQcnqYsgtMd1pNmQ9+1q8pa1G3rNev18+f2/dTsx5Ny02eP3ndl5aa7ziK6bq7vLo7xclm0Io73+o6CuquttftwTT/8j4zY0b8/8gDHqjr220AAK/z7ZZBK/Ytp2XoJfMrmcwm0/97WRdigCT5sXCh/dAt03Rn0JqOw1dfndgrRM7Y8rNsU8mglZeF38wLL+tM3n7czknywyk728u+asp0MC1Tp/l3+nt5eXwWiNN53Ov3ctoWvW53uuO+6fVeloMp+0y874wZ8ec9ubeLaXk6DfzoNYPW6RwQ1LHeSwatqTeK0/ozTZNff8UV+s8eNcqyrrlG/zfddpbsd06mbeZl20olg1Y80pVBq3t/p2XrNP9y9t7AgcEuN/k1poGEdb35nPaZ88+Pfy4yIsPOoFWXh+jVo5svtXej7vPk6e++q1/3XjNoxXPTOvByTSJvW6aBer3ug6bBoNzm3+9Ac6Y2ue5cm8zxW/RkNWXtu53P1fdP5drfz+vF9ZPfY67X607T4/LL7Z9u27z6d9153i2+YppXdbBi07ary6CVH6YYiPgp7+PyoMRe15nX609m0DrHJZGh+QlNdQrQiq6mpuCD3wCterIPKkDrd0Ra0+P222O/u3Wbkh9qgCyZCwe1O7L6u5+Gsin4lswJRXyuHIRSRxM1fS+5AZSOAK3pBGZ6mC4odMslqACtn8e4cfb8qScvU3ex886zf5q6hnq9WJMb4qYAre6xaFFwAVqxraQrQKvrTuUnQGtaXmK9mV7rtXuueC7v8/I8Z3uA1jT6uGnZjR/vfD5JV4DWdKw3BVfE/KczQGu6SDY9Ug3QijIepmWhdmfzOj9O0zMZoDVtc6YbXaaHuOiISoDWFOjQbQeWZe7ib1qed90V/1xckMvlq6IcoJXbQl63Vy8BWi8BJsB8Hg/yO3s55/u5mZJsgNZP8MXpb6bp8jL3sm3pHrr5F23BtWv1xz/TeUz9PrrASbIBEz+BC90o9U7LSF0Gcpv97ru9v4/bdqcrDWX6Dm4P3XHaz7boJ8Dp5bhoengN0L7yivPrTPMfROmXIAO0pkcmA7TydYTu9XL5RfFw645vmu53u1WPHeL/dccyp4d8U0a8h1uA1utNAvX1aoDW67nb6XjgtQSE20N3/ckALUscVBvq6MKpdNdTu5QFSS0doBvUQU6Rz8/XF7HfvDn2u9x1xjRIRJDdgtXuyOrvXugGjxk9OjZ94UL39zB1tZs+PdYtz+ugIQ895P55qTCVMvDbfSLdXWCfey5xWn4+8MIL8dNGjrTX1WWXxU83LUcxgm+q5UO8dGXTdfHXdVdLtltORYX7a1LhNtigIOZ7xQrza9Tl5dS93W+ZDbcuYNnKdCxTuwguW2Y/LynJ3LzJTNvhtdcmduMyDfqgUgfJ8tNNVj1visFigPSVDujYEbj1VnPXvz599NPTWdYhSOo6czuPm76XGPgi6MHPZH4G1VEH4nDjt/zOuHHxz++5x/4pn3/cSrSkezRpJ3JbSD2fpVLCxm25i2Paddcl/u3552O/i3IHQHDdbnXn4UyU3QiiW64TeZkLTvuK12OTaAu2aaNvV3ltk4tuuPLgkfJxwrS9ie0n2QFuKyrscgXJDsY1cWLs95tvTm2gMJnTscZvGymoMkxBtPuXLfNX3kDH72BQpkHOkqGWYUmFaZtOxwDXMvl6z+2aUzdYrdv1k2lf9Lv8mzfX//8f/+jvfZ54IvE9Uh18L+jBj504HQtM38Pr9Sc5Y4A2R+hGp0zlIH7ZZYkHNKcgiB+i/pZwzTX2T/nA/cgjsd/XrLEDjmogT/yfasYM/fRM1Nf1w62O1FVXub+HqfGuBqEA9wCBul4yZfFi/fSwRpAtLEycVlkJ1KkTP62oyK6bpO4n4rm6vQYVWJZrg+nqTgPAHXck/p/uRCsuTPzWCUrXSOt+ifnu0cP8GrWWmpfaWqTndBNQF+wxnX/81kjWHQucbiKq6xiw59PLsV/cyPJ6Y0umnjdFUAwIrn63egFSWWnflPRb9zdbtnt1nbmdx03fS6wXuRZbkPze1PZ6wZhsHVJTDXSZ2LZNo0a7jSbtRzI3AUVbaOrU+HOOZcV+93sscVvu4pim277efz/2uxx4+vvf9e/l9zv7PQ8HFVhNd51A3TJ3CjLo9uEg6/HqjqEAcN99iYkNQHwwXsdrwERX2/GDD5JPhrnlltjvTqOtm+ppCn62I1Ngz9QmjMr1FqAP+LkxteNNy0ydrrvOS1bXrrE6/6nWbzYdB+XP8HPsV+t5mxKM5Fq16bjmDOpYZlpvQQRHU32PKAQ7ndo7chKe2H+CHjOnOmCANkfIA7WIg2oqRfh1B++ePZOfPy9MB+42bezGsFpE3HTij3pmkGgs7dqV+Dc5mKQGVP1kjegCFOkY4CsIv/2mn57Ju4Qy3UnHNGBCp07mgupei+YLTpl7ciNxypTYyW76dP3gTH4zOvzeXU53trVXpvkW66SgwD425mrjQA1OeM2gSXVAA3WQxAkTYhe2clDHdGGry6gS7ye/L2AHP3T7pO4mYhDU466fzFcvQbFUmS4c5JuaMq8Xkrku6IEDVX63R6/zIy6Y/QZKvQz0oRt4UBVUeyqZm4DinKsOIiMHaNXBTd2ksh2og7MIpnXjtQ2TbJZdUMEIt89VjxWmwXFNdMt8505/wdZk9wMd0zH0uOP0GZZuWaD168d+d8o6V3sPjh4N3HRT8ucxr+cb9UaLel72sx3pgi+A//ZutjB9L68BvKB7oooM/8GDY9Octjm/iS7JDnAtDwbXtWv8/MnS3QPS7740aZL+3Ghab6bgqJ/zSrIBVjGfmR5IVcepvSPHb5yOC+pNt6AHgMt6GSq5EJrqUoNWrT8LJNZj9VOD1k+9Fr81aL3UptPVu3Oq2eJneqo1SuWaYLq6s2otGLc6LaYatKY6WU51YJw+V9TIXLDA/fv6rUGrG+REnX+3gRbUh6kOlt96aUHUxBs7NrEOnNgu1Rq0brUO/dbGUpeR/F3FoE1iv3eq85tMzTfT6996y/75wgvxgy641ddNZbpbXSX58dhj5m3Iqf6ol4EoTOtS/l0sB7V+4Jo1wdag1dW0E7UqnY7Fuu3ESw0sMa9uA1KJY41bvTAvj7w8//9jGpDAVF/U6bv7qUHrdTAjt23JaR51x0unAWJeflk/XdTSc9vWTctBJx01aNX16DbYpOn977xTP910bPVbg9b08FKD1m07cRpPwPR91Vp58sCOTttwMtuDl+lel494qINhelneptqrcjtY1OIFzOdJ0/o1zavXwSXV9xE/Tfuon+8OWNZzz9k/dWMx+N1u5c/1M26A1xq0yWwTpv3A67WG23ox1Vs0vY/Yb00D8nl9H6/rXl2HTucb+aHW0xTnZb9tb/U7OA1u6DTdy2Bd6nMv7+92PHPal7xeH7rVxDXVB/XatnSb7rUNBtjHUL+1V720P+X3F68xtf29rC8/NXSTvY4yLf/ycn3byXT9avpc0U5V2xlyDVqnmrum/Uq3bbntI0HWoE2mjrHuuODlfcS4LrmONWirGbXrKeC9S6eO2qUsl/ntIiffjfbT/VU2dmzsjptlxaYPH27+n1TvmokuW2eckdr7CPJy83IH3nQnzfS9opT1eOed5swNdZ0l223HKXPPtIzEft+smf082YxYv0RJgcGD47Na3LoCZoqYH9M2ZMoq8JsFIt/xlWvWjR1r/zRlrpShZdW0VauAV18Fnnwy/n28lKjRZdB4ydpKdjsRd7zV9a1mW7h1QzdlG+gy+uTjo5f3AOzsB102sZr5q04HUsssVc+b6cg01x0L5Kx6ld9MEC/UOnV+yin5Pd+qki3LIncH1r0fkFoNR7+ZmV6zTIDk6pCq56HDD7d/yusqClnUpu3BqS0k89JOlXuS3X137He1fnyyTOdnr222oLLshgyxf6bSe06mGycBiC8jJv9uOgaY2kSm7GzTNhFUPV51vSTbDVfst2pmtdes8wUL/H2eSs1mnTJF/zpTHc9Uu3Ene00SZDZ0WPzu86ZSbsmWDjTVZpc5ZTn6vb7XnSvkOuFeYw1hnXOczrFe9nu3c7Rop/7pT/HTp03Tv4fa1hg1Kva7qW0ThcxZL7weP0R7X2y7XsaIqE4YoCUttUtZLjN1tzWRL8SSHfhl0qTYidMUgEhVumu4ug22oTay//Of9M6PkK4GQLpLZ6RSkiLZOleikea3saZus2JgNb8DQqTa/do0304NGbV2kryd+m0Ayd265Jp18+frXy+Wz3TEWiJduwL9+gHDhsW/j5eLbF035iDqU5mWv7iwGjTIfi6+j98LZ7Wrp6CrDWwKfDndRDTV4xPLUw2cy/W+k+k2LJZXnz7x581Uaqy51Q2UJXNjL5XGvlynTjxKS739r9/zrSrZmwum15sG6QT051BTLcy77tK/v5djmd91kcw5Tndckbf1VAPnyb5PMtuD35sgpgu/a6/1/9npINZ/UEkRXgdEFEyfa2pXyMGmSy6J/T59emyf8bKNfvSRfnqqxwi/ku2eL9abqU62m759/X2eeuw55ZTY31av9n5TQ0jHzTsvghisK9uYSrklWzrQyzbndI70u83ryh14TQiQyXW8/SQjeJXMNYEXXv/faXmI99ANLq0bTEwV1Dk6KLrB2wHvxw/R3o/a+EBRwQAtGal3lZJpPIY10JOObnRWILULPS9BNF1Wjukzk1lefgfQCYrbclMb2X5rxfkhj76brgEvojyoTrLrWjTSUq0fVru2/dPvCTbVDA4x32++6f0z1ayCZLZLcQw59lj9300NF7F8RiI+8vrSS8CcOfGv9XKRrQY6nTIp/TCtl/z8/9femYfJVVT9/9vdM2EJGECWhIRNgiB7AggKvsmrgIiA6Kv+QEQgCYkEkIiKLJEEkEVRDIuBQFji6/a+vgKGgBHQCCaQCWaRnRACQ0ImBgQCGZCema7fHz3VXbdunbpVt+t290zO53nuM9O3b99bt5ZTp06dOgXMnl39TE1QJcW49TFcUobYpElEUzw+mZ96utUNLXS5pm9+YYqXJWXO8OHAQw/RafKB8r5uBiVdHWDLmHgTJrj9luo3msGbUx1wUn0o5f21007me4aKpa7qEbX0cQsXVidYapWDJijjmm0yxRffjWaofunBB/2fnSW+/TCVp76r56jnUnrFN79pPr/lltXfuNRRqs5lvQJIJ8n4krVsuvJK83l97KDLHnXFUpp+n5oYyHr1WprNurImVL9K1RWqLWXloAPYV3X4GixNctbmEEA9WzX0+jgjuJJm748QGw9KbMZJOUb94x/TyTjZt+o2jEbxwgvm833F07fZYQMt44yL4FM7p3oYCX3Qd+eWUB0J1dH6LGU0zZTZ7kEtzaWgvAGz2kBHJSkf6rFhjuSKK6qbFOnPbYaBf0hUhWLJknJn/frr5c+yTFzrqOxIa+1QBw4s//XNa0o+uCpMMt0HHeT+zBD1UsqQE080f08p3bJ9DsHayPmjjgK+9rXotblcsleBrjT7LgumBvhUuZRKwGabVT9Tg6y0y9BN2AyxtoGk6d2k0eLJJ6PnbbJS3/zCNDhWvTqpnbR90Y3I0lvZZACr90SoOsC27XpvgpJNWe8k74I64KT6UH1ZnuTrXzdPzITwRtP1iFr69pEjgXfeiZ/3lYOUQYNKG6U/ptm0K9QAMMtJ4zT4vleojZmSwkzpspRaLXHRRX4e7lnqhDb0uptknMtaNk2aZD6ve/TrskdfsZS2H0hbj/qTbh1KFmS9PF2OD13KOk2oQtNGrYBZp7U5BDz/vPm8qa7Pnp398nbbqrAQoTZcNvCSNoizz073DClTdRtGo2BDbLawgXYjRfU4pLyCdFwao9o5ffOb9Z8Jt0F5e1HLbSkvMnU5bBIrVpjz4DOfMXecvgN8yhvQlu8uHbbLpC61m6vsCF12kXbBRRFR46DpUB5MtSqX1FLXrFEVisMOKys8unHatd3JmViXnZhVdAPf6NHlv74DGUqmXHqp3318CFUvAf8QJ+ee69a2gHCKo4kkz2mbrP/735Pvr9dD17Zmium7ZIl/Gdni8QF+S2ip+IJUOA/K6OArb3Tj9z//Wf5ratuhvDTrAdXf+tYVX8MeVYfU+6gDTkqGynKRcb8l1KRMiPAFN90U1vPYNAHjm5+UQYO6D5UPVH2oB6EMhI0yVGU5QFbHBX/9q9tvfOtoo/a58F3d1ahxjL6E3LYk2MchRtf70tajLEKkNIpQskCvK9JL31fHptrMxInAT37iVtZpQhVKI6KL/pkmtJJpIvfEE6OrmGrBd1Ve2jCFOpQureq06mR/GiMt1bfqq4N9Q0bIOvqnP/mnyQSlx4cKY7GxwAbafg61ic3PflY16qiCmIqj5oraOWW5dAOofcAroZbIUR2gjwF1+HCzV81f/kIvy/ZRFChvQNtgi+pIVAWrBy24E3Z3PGqTE6m06eWfZsOc2293VzplHFQdyoOJMia6KppZb3Sgtle1HasKxcKFwLRp8XherkqHnIn13exOlreMRRd6c7IsPWtCbuTku0yvpwcQIOIfGMgq7nEtntOTJ/v/xtWAaIrpm2b5W1I8Pls91WUnFeuN8hhV65bvRoo2bF4TWccMNKFvuKZPVlFeaklL0k2x7kxQHjqUXkBt0kJt0plksDQNBEPoPHvuGT83bVpYz2OTZ6Rv2ikZ7WtwTROnOZRBNJSBsBm8v1VCLNtVxwUPPFDbvaj8yWITRRWqntRzdVct+MSU91k1l1bvA6K6qPo8n0nPZgp9J5HyVV8+7uttrSM37qPympJBVJvp6QG+//14WU+bZr7eN1yFTxzjUOUYcuWRb1zlUKE2KF1a1WnVyf4PfYi+F9XXU32rvjr4sMPc9wQAqnU01Abirnp8WgehjQU20PZz1AahDvCEiAb3l6gNq9nJWikOsbnKsGHmjSh6eoD33iv/X4tHH/Vb29IWKv1RBSuHs2BxQbPck9r8zHcgtnp1eWdL15AF6oYJVNpUKGW23htUUKjtVV1OrSoUI0eWDUa1bDAG+M8iyzylNj6oFVPdDeWxrHsV1LKREwXV9goFIOfsQwvssEP1f8pgr+OzSUsa1MGs64z4v//tdp3urQr4b3gDmAclqtHCx1vQJR9Vj3LVczdpI8U0XHhh/FzWMQOBeCzeyy8v/69uGKZOVqWNQS43ywPs4X4ouU550HR2ms9Thsmk5aGmgWAIg58pPaVSdGmo+pxa6pU6seproKXeNQt5CoSLwasSykDYTCvFgHCrL5JWC+ioskmVsVT+UHWFqls+GycCdD3R5b/83GxeXtQScmnQUDfeTVMH03gPUmNEn+f7hnKrB9Ty8VB7aVB5TTnMUPmZz5u/+8EP0qVLZ4896OfqhCzHUJMkWWyKWgsmnRYAjj02+lmVeZQhlpKXet1auNB9TwATrmMHarLCVY+vZaJoY4ANtP0camB7/vlmgR7K3R8oe45muYSp2ZRiCpPBT50Z10MF2Jbm6lDegGmWtuj5WUKL3w0CQwVSz3o5r2+9ysrLUcV1gJSWtLPIWcWYNg2cQ3osZ23QopTuG2+Eh/+seSYaiBrsVdRljjYjRijjLZUOXe7LGXqJT/xK3w1vALMHmWq0OOYY+rd6GvR8NM36y/LWPXez6KNCDcR80WPxyrKX79vWFvV+9fVSkytN1N/pMRhdCLUzeVIfqg/4fPtuHwqFqB6RdexRFUpWZO39CFSNZXPnhovBq5KVMVlCebWFgiqbu++On0vj7ea7u7YqmygPdxeo+k1tnEhB1RPdACKvo1ZrNCoUw4EHmg3S0qDxhS+43YeqJ2n0Psrg5ENIj8lQUGNf336MqitUXvsaDq+6yrwqM5RMpPQLU3sOWY6NamNZQ8nOUaOin303vlTR61YanVnFdYxNOTOZnm1LU0i7U3+ioQbaRx99FMcffzx23HFH5HI53HvvvZHvhRCYOnUqdtxxR2y22WYYPXo0nnnmmcYkto9CxXUZMsTcWGp191eF7C23+BsJ+yMmY9BVV1U3djrggOr5BQv8lpjog8j99y//XboUWLfOL53UzvONiq9GxejJejmvbyw+OYjJklo62yzRdwEOpWRRCopuBKoXVBugzlNKt6/iRQ2GKIO9usxRV9hNHmhUCBzKi0hvG1Q6pLJpMhQAtBdKKM84yoNMTqbccAP9W70O6/lomvWX5a3L+jQbINUL3zpNxeK95JLyX7lZmMR3ZYjJg1OPwehCSA8an4kcKqxGiP5T96SrpzcQ1SazNm4CVWPZCSf0nQl5Fdk2dELpVJS3uLqRo2T48GSDZq2o/YbUb9NA1W9q40RfqLpLrdYINSHiC2WQpgwaVH9jCpsCVOuhT3301UWpydhQsdpDQY19ffvwrOvK+ecDP/pR/Hwo3ZsqF6pNhvB8pSY3mzEURiiauT/Tx9hUOYR6h1BhJvobDR0+dHZ24oADDsBNhD/3j3/8Y1x33XW46aab8MQTT2Dw4ME46qij8O6779Y5pX0TfeffWnGJvaN2TmecUZ+ll32Rd9+txgBWPeN+85t4wO8k1Dz2CfCuQ21+5jJANtWNWhUGqYTqChKlKPgqdlT6stq0pK/F27EpR3od/d3vyn+pOI+LFwdLVoTQyxEpGee78UAoqMEQdZ5SmJYsMXugqR5eLh66uhcFlQ7ZRvfd1/w9pdSHUvioASzlEZYmJrHLrD+1kaJKozZX8a3TvrF4dTmaxuMyl8t+Qi7UwJbSdSgDJzU5YjII2CZtfdOvbhCb9FygsQNJaSyjJnqaBd8ykHWiVp3Ax1u8VCove83S6EGt+KAm/33RB/KhJ64pL69GLY+mDNKUQYPyWqbCl8h6mGW4OMrLjpI3WetUVP2nxg9XXOF3fai6Ygvz8ZnPxPM11IqGNBuy1go1udmMoTCyohk2epVlqddhSlcMJdcZMw010H7uc5/DD3/4Q3zJEJlYCIFp06bhkksuwZe+9CXsu+++mDVrFt577z38+te/bkBq+waq0k8tEU+LS2xOl86JGpD6enP15SURZ54Z39gJKAs8k+HWhtqBqUqP79L7WjxWTXWDMta5IpVQ16VyvkomNdOdlWdQX4u3M3w4MHWq+Ts9KL0U4VRMWn05T1p8lzj6Qsm4EMumB6MDuaVLMAL1t9BTu8BTkziUZ5Lv4INqk1nLbt8Z+TTLy1yeQW2kqJI2pl2tUHV64EDzed8JMD0fk/LVNGC/5prGhSOh8M0HalfvK6+snlP7et9Jdd/033abWccIOZnvA5Wfq1dXjWWf/Wz0uyzlR5pY575loMe7lP2pr6HW11s8jUe6D9SKD2pDXF98J7Oy7mfkrueyTYfG1yDt2z+H3tzV9gyVfJ7ekDrrCTnK2EStzKL6+awNarYwHwcdFJ8ApfpXXwOnj6E3TVgfk7yn+vhmDIVB4etYpdOIjV51qDpH6Yo//GF2aWGaOAbtyy+/jLVr1+JoZeefTTbZBKNGjcJjjz1G/u6DDz7AO++8Ezk2JtT4SZTBLS1UJ25TmkyzldSAlJp9p3bwbtSyI8qQ/I9/xM9Tmw4MGWLu+L/9bbPhlsIWm41aek+VVyymHrqN502Y6ga1KYsvrkqnr5LZLF4RtRBq4ywTpRKtROvvID9THXmI3c1Nz02zxNHmQUTVoRDLpidgBjY74iAswqHuP0rA1Vh0zjlmA9jHP26+vlbPJJkuKj/rEb/ShKvsUwk1yM9yiWAaqPRQkyxZD0hNKxdMG2yGJtSkgysyHjM1cDa9symmssQ3/dTk8Ekn+d0nFJRhxFbfbLqfnq+XXebXP6aJdR5Kl8h68lbd+0Al1LJyqt9QQ5/Ugu9kVtZjBDkxrcdYz4pmXoVF9ZMmveNvfysv1Tfh25Z8HXsoHVXdnNLlemoiMxRUPrS1uY8R06yi9XFQoTxfbfj2n6H0I9+QTr7oTitJ6O2llnjwoaDS8NBD5vPqxqVMeJrWQLt27VoAwA7qNta9n+V3Jq6++moMGjSocuy0006ZprPZ0OMnmXZ8Tgu1JIVSmlavNs9WUgKXmn2nNjoLpRT7Cj3KkHzBBfHz1KYDFJThFjCnM01sNhdP6Dy68SLcd4Ay1Q3Xnds3NkLG2wm5cZYP+jvIz1kbvdMucVQH7fqyKRevnBDL0GdgAt6fvxgjsRhdCzxmYQxIWeAaj3fkyKjHnlQO1V2gQ0J5qUiOPNJ83ifem81oRZVXGm/VrAf5zbYSpBZv8VqWT9cjpmkIZH9bq9ccNVFnkmlpQhZRUDoGFTks6zjKVLnb6hvVz5gMElde6Zd3PgaQJHyXgIbU13XyeeDii817E2S5xD0kvsaaRk3Ch0Lvx9KuwqpHLHSqnzRNvB1ySLjn+m6kavPWNGHaDBIItyqMwqZzujo8rFiRrXf0669XdTDXcGO+6QmlH2UdpszX8SaNXknJ6SzDZIUOlcm407QGWklO03CEELFzKhdddBHWr19fOVatWpV1EpsKXbkPueMzFZtTVZpUQTF8uHkArQtcOdCh7O5r12bnJQjQQs91sxTJj38cP0dtOpAGKp2+ypdLB5mHwDC4W65NdaNWr4JGxWbsS/gMJm1Lnai67qochfbsCDlTrCsY+rIplwmLEMvQ12IIxIiRWIqRwIG1uRRJWWAybpjK7M47oxvWXH55+a/Lu6eBMvJJKFnm42ltM1pR75XGGyPrQX6jvIkpqPdNMubfeWe03Pu7/Hbt3ygZuv32fs+jQhb5ykpqYoNqs3/9q9/9faHafJrQFpRBwqeNjRiR/aYlVJ0w6ZBpJj1MdaJUKsfTNMnMZt6wRkXPN2kUsk3W+dBsmxJR/ZivMYiKoyrR89W2MivrjVF98d1ItVZk6LZQq8IoKJ3TZ7Ju+PBsjfNqWn72s/T3odpvmhAKFCHClNnw7TPS6JWUnLY5yZnw0c1CGfmbTbb2BZrWQDt48GAAiHnLrlu3LuZVq7LJJpvgQx/6UORgwkB1tGrnrioUpZJ5F1tdWZYDHWpWOGsvQUr4UEYEymvvgAPi56hNB9JApdNlIxqVLDpstW6E2tDD1yjWbJ5o9YAaTJqU6IkT6U6SquuuA9skzw7fOhdypvjFF+NtRzXUuSgfoZeh6+XjO8CUadYHCZRCe9ZZ0fe89NLofXRc85kK5SKVT6pNUs+lBj3U5ALlcUbdPysZIScmli6Nela6LLnMegAbylCaJI/1Otao2LrNBuUp4+u1qIYsUsvU9z7UAJ8aMPaq4jGyXm6pykRX7yzKIKHHsJVk/Q6UPKPqhEluzZ3rb3w01YmQnsGNQtdHpPdkKA/zZtuUiOrHfI1Bkyfbv9f3i7CNuZrN29pnI9UQhnwqBFBoKJ3Txzg/bBhw881h0kMhJw5reQ7Vfk0hFNLK7LQTz30BU125/XbaKO2jm4Uy8jebbO0LNK2BdrfddsPgwYPxkBL8olgs4pFHHsEnP/nJBqaM0VGVJpshREItb6UMe41SLPuKV4HLRjQqlCd0KEINhnyNYo2KSayT9aDPBSq0CLWch6rrvsajUPF1fWeKbeyxR1zBaMROtSr6ICfUAJOKCUbJZWoxims+q6Fcrruuel4aJn/3O7f72LAtsTJ5nAG0QpmVt6qcmDj0UOC446rnXZZc+uIrX0IZSil5LI1nLn1/f8BXFlADw1r0C30i3AdfGZ310lAKVSa6th3KIEGVQaOMTVR6THJr4kT/vsFUJ+rhGexLrRsPys3uQslW302JfGWBbxzMUM4USd6epv0i2trMIZT6yrjIlKc2Pcu1LJNWB4WCSo9vG/aNEevLdtuV/+r1Yto08/XUe5lWiJhWUYSW2ZR+pE9sh14RFPJ+ep6uXg2MH0+31STdTJ0Qff31MKF3+tKGb81CQw20GzZswLJly7CsdzT38ssvY9myZXj11VeRy+UwadIkXHXVVbjnnnvw9NNP4/TTT8fmm2+Or33ta41MNqOhKk0uhhBK4d9sM/P5UIplMxjOssZl2USjYv1lPRii3j1UcHjXDrUZPAxMSiS1QUgaqLyj2mkopT6N0UcftBcKwDHH+N0jlGGP2jwrlNc5tSyYGuhRAzfffF64MGrslYZJuYlKLdiWWLmsKlDJSvapRq8//MF8DbXkUnrfusY0DbXJRqgd0dUYgCq+8TcpKK//RvXnzTARWIs89dWlfJeGhiwXOWj3Wa7sY5Aw5WOo5fJpoOQWFd4iFKEMjb7Uqit94QvlvyGXs/v0fZQsoPJHf195HTUm+ta33NNiI0kWm/aLGDEi3OZujYCqW1RbcpXrcpwRqn+jaLbQRxRU3aXCK1L5TG1qrU78A1WZTbUxX72Gau96eJHQK4LS3I+S03pdSQpLkCTvVZ3u0EPpzaJ96a+T9lnRUAPt3//+d4wYMQIjejXG888/HyNGjMClvesvL7jgAkyaNAkTJ07EwQcfjNdeew0PPvggttxyy0Ymu1+jLtV0VVLV2RZ1o6x8Hvj+9+PXZx0LhoLqSHxnqRsVW68ZlvDXopinHVTqz/RNwwMPmM9THkDU/akOdfHi6OckBaIemIzVaWI56e8maZQR2jcmrlx6rxpk77kn251tbfhOTlH4yoKbb/b7je/9R4407z5PeetR9zedty2xos7XexJKNXpRK0SopZjS+9Y1pmmoTTZ84w9TA0YZA1D3slA3pQPSxanW49qqNJv3Yz2px6Y/Eup96+GVSnln+eKjs4XckM1XjlJyizJe+GBbXuo76RCqjKly9dWdfL3Cbff3KTOqDVD9vP6+Mh8pGRfK4+znP7d/T/U9IZYkN2q8RNUtqi35yvUXXvC7noKqi5QekTW+bY+qu1T++4QUWL0auOgi83fU+C1UaLysVwTp93MJh0XJab3fSApLkGT81+M6h5ogbAYbRp9C9HPWr18vAIj169c3Oil1oVgUouwXVT46O6Of5VEsxq9NOqh7XXxxmPv4ppW6/tFHw5wvFMzn83n39FNp9z0PCLF8efJzqf9d838w1ogRWCwOQZsookUAQky/8BXju/s+17c+yOOPf0yf/7aDyk/q/tSRy7mlO225AEKsWFH9f8GC6v/t7e5to1gU4sEHw7xb2rJ0vZ5qe9Onm39ve+6UKUJMnuyWHuq5adqS6Twla1zatst9Vq6k5crKle7loudzUnp8ZTT1vqbzxaIQM2aESSdVX2zyy6WMa5G7d9/tl0c++W/LI+pwLTM9L13zzee5vrLYlm8u5aLmo2+d9r3eN//V8y5lGkpmpemvfK6nZC5Q7X/0euDbH/rWI/WeteRFLXWxlvOm9y0U6D4g6f6usshXHlNHKN3JJ39kHpn6mlDlTh2+9SRUvaL6HqBcV0z55Kt/m9q3rb+i+pFQciitzlBreqjzDzxgPh+iDfjkc9ry9ZXrPjq2bbzi28aodFL1Qc8Hme5Qbc/W7110UW3PKBaFmDkz/XjGVZfzaUuUbFWvLxYbbUGrD652yZZGG4jrRbFYRLFYjJ3P5/NoaWmJXEeRy+XQ2tqa6tquri4IITK/tqsLUL4GMKDyX0tLF3I50Zv28jn12q6uAZg/v+zR09LSjb/8pYTPfKb6fbFYvb6rq3rf007rxrXXxqfLfvtb4KSTgK6uVgDl9SCFQjeKxRJaW2XTzCGXE8jlZJqi1+bzJWNaAUAI9doe5PM9KJXyGDWqUDmvUo2zJHq/FygUerDffiUtH1oA5DFvHjB6dPm+cjlLqZRDT4+WkF56enrQ2hqdFlPT3tPTglIpX7m2fD2M1+fz1Wvz+RIKhW5st108D8r3KgAoT02tWlVCodCDXE5Eyst0bS5XQktLd+TZE1pn4GKU1zP0lPJAD3DONdV10+VZRYGWlq7I/dX7CiHQ2toFIYDu7moZlRHI50solWQaBIrFrkp9MF0/cGC0LGUa8vlu5POiUjbd3XkALZXfmeqAmoahQ6vTea2txcrzSyWftUsCQpiv33338n11ZL4Jket93zJdXV1obTW3+zvuyKHcNsrLx1tbuwAI3HZb2XMtWs7Va4Fquy8WgV12AdQ2Jsnn9Rnjcjqod5MUCl3I56tpLhaBQoFuI7LN5fOlyvWtrXEZ8Y9/lHDAAbmKvJJy4uSTgYkTq9d2d3ejtbVkrOsA8Oijrdhllxy6uoCrry63ZQD485+Bz3wGKJXyvXW3LA9uvDGHiROr8kR9L/X+3d0tECLfm97otfr16rWjR1dljyqDttuuFJMR+XwPisW4jACAt9+OlrHk+ee7sP32IvabxYsLyOUKvfctIZ/vJtpmN4TI47TTCpg40Swj1HuXSoXe/ANKpRJaW7uhUq3r5Wtlu99xR9Fbh6NIGafeVwiBU07pwtlnR/sLADj5ZOCcc/IolartvrW1i6wPuoyQaVCvr6Y5j+7uqm6gt+VoGav39Wv3LS1dMJXlCy90oaUFkWuriN52Xf70xBOA3u4LhW7kciWcfDJw3nnar0UOpVJrrM3rcl3S1TVA8Zor11nZj8vrq21Z1TnKaVB5+OGqd5B6rWzLEltfa6JQ6AKQw157Rft/VY8w1QlVj1D7ZZPeobYZk4xQr5ftvuyRRPVHAoVCF0qlqoww6RHy/lJGHHmkdI/pgex39bwoFoVRj6DygdINXPUIqrzKeplZ5wDKHtUHHFCWheXfV/NJqraq3pHLlZdgFgplGXH44WU9oqWly9gfUunK5bqRzxfQ01OVw2XdJI8DD4zLCFNeJMkIVWdLula9vy4jisWiscyKRaClJXptodCN224TGDMm+oOeHuCFF7oRlVNlPcJcJ6ryhPII1eu19F5Txxrqe0nUdm+65047dRnHGrqM0O9vG2uobVfWJ/k5n+9GLifw7LMCQ4fGVxeoMiKfr44J1P5N9k09Pa0YOlTmidrfA5RO+tJL6NXbe2JjIpMesddeUf1B6lMvvwzE9TuBl1/uMtaf//xP81gDAK6/vtpfq9x1F/CNb5h1A5PuV/YUjOoGTzwB3HdfHmUZoupD5TGMeq3ev6i6QfL4Ic6550b7TomLblB9T/O1puuT2v3OOwMmndx3/GCSEbJPMsmIl1+2tY0qrjLiyiuBSy6p1suf/awH3/62IOqDm4yQnqC6npLPl3Xmqn6k9vcCuVy8fE0yIp/vxsknl2L6EQD89Kd5fOtbVV1i2rQeTJokFP0i2vZM9gj1ua5jDaDsEfuTn5T/V9t9km6gXnv66T341Kd6sPfeUZ1ZXh9t9z29Ol20rUnK+nXcJdfUllTdQI41hMgZZWtPTyGiGxSL3SBMXygUCigUqmON7u5u84XatUIIdHXFxxpprlXthbVca7MdquQEZQnsJ7zzzjsYNGgQLrzwQmy66aax7/fYY49ITNurrrqKzPRddtkFp59+euXztddei/fee8947Y477ogzzzyz8nnatGlYv3698drtttsOE5W1LNOnT8frr79uvHbQoEGYNGlS5fNtt92GNWvWGK/t7NwcU6d+DwMHlj+ffvpd2HXXduO1xWIrrrrqYnR2AgMHAl/72q/x0Y++aLwWAKZOnVL5/9e//h2WL3+WvPbKKy+qKFknnngvDjzwH+S1P/7xd/Hee+UEH3vs/fj4x/9OXjt+/HnYccetAABHHfUg9t33aUybNqkioKIILF+ew0c/Chx22OPYc88XsM02b2LQoHcjVy1ZMgKzZx8PIId8Hthttxdx6qm/rny/fv2W5DP+9rdF+POf/0im91e/OhkvvvhRAMDf/74Mc+YQwQoB/O//fhnPPrsPAGDvvZ/BV7/6f+S1n/vcF3DooQcCAPJ5gVIph1yuhOOPn4ORI5dG0v7AA5/Dffd9DB/9KLDrrq/g9NPp9Uej9vgY/vOUrxq/O+20u7DbbtW69MlPjsLRR48GALS3r8Odd5aDfi5ZMgL33XcchMhX0vT++5vioYeOBgBstdXbmDTp+sp99Ov33fdp/OhH++PYY81pVN9zn30OwFe+ciL5PpIvf/l/kcvlcNddX6m0jalTL8PLL++KWbNOS/x9ElKh6OwEpk69FgMHmmXEa6/tiNtuq8qI666bhnfeMcuIQYO2w7e/XZUREydOx/bbm2XE228PwpVXTqq825ln3oahQ6syQs9jIfKYPr26nC6XK+ETn3gcjz12uOHuVXK5EiZNmhZrQ6Y2ksuV8F//9X/YaafVsesBPxlxzTXfw7//vTkA4N5778eyZbSMmDjxPGy33Vbo6gI+//kHcfjhj8euWb9+S7z55ja4777jsGrVthg4EBg9+q8YPfoR8r633joOa9YMRWcncNRRC3D00fS6rbvuOg2vvLKr4ZsSxo2biWHDquuZVBlx4IHLcOKJZhmxfv2W+NnPvg1VMaXKAwDuvfcLWLbsQADAHnssxymn/MbYNkeOXIr77/8c/vrXj2PgwGQZ8fiDh2LdY9ujrQ1Y8/bbuOvxv8WuUZ8jUWWEiQULPlGREevWvY3p068nr1206GA88MDnAQCbb96JCy74CXmtlBGdncBWWxVxySVXk9c+88ze+N3vvlLpE6dOvYy89iMf2QPf+EZZj+jsBK688ioMGGDWI155ZRfcddfplc9nn/0LTJ/+9Vh7mTRpGjZs2DIiI+R3umwHgHXrtsP06VUZ8Y1vzEIuB2yzzb9ideLttwfhox+dFGnzpnsCwNq12+OWW6IxQai6JvUImQ9nnvlr7LDDWrz55oeN6bDpEba+VjcM5XIljB07E7ffPi52/X/+558xahS9BlrVI/74xwfR1haXEZKf//wsvPLK9l4y4oEHQPZfQLkvfeSR0RUZ8fvfL8VTT80mr58+fQLeeGOwYmQCdIPMUUc9hMMPf9xLj+jqOgNXXrlz5R4nnHCfsT4AMMoISu6PHLkYixcfgs5OYI89XsP48TON93Tpf1W9Q5URuh6hUk7XtyOTjbL+AsCbb24T0QWXLTsAv/rViRg4sGwgCSUjli/fA7/+dToZ8aMfXYv333fTIyZNmoZcrmQsi8sv/2/84AfVPHbVI5YvB/bcs6S1LXoS3GWsAZSXvJYNNuV7meRQiLFGUt3yGWsAUXmp96MDB27AP//5IQwcGB1rvPTScMyefRxMho7ly4HTT0+nR6iymHpPXV9XMcmIsn4xyZDW6jhK6hEqJhmQzwM77rgK48bdYb2uer3AccdVZU9ZP6v2H3/96yj89a+jAQDbbbcOZ59d1iN89Hc1P+T9P/WpYRg3ruyRlKRH6DLinHNuIvs4Fxlh0pGylBFAtQ5vvfVb1nxzlRGdncC4cb/GgAHFijw1lbNs8y4yolgsh9n45jel7CnhqKMerujx5fF6tE2deeYTGDqUiGuH9GONmTP/jDPP/E+jnjZo0LtGe4ReJ2oZawDAvHkL8MgjtIyYfddxEK/k0NYGLF31Mv749NPkta5jDQA44YQvY+TIfYzf6bLl3nu/gAULDsTAgWYZoXL//Z/DE098HJ2dwD772McaRx55JA7v3dzitddew8yZZj0CAEaNGoXRo0cDANatW4ebTTuH9vKJT3wCRx9d1iPefvttXH89PdY4+OCD8fnPl8canZ2d+MlPaBlxwAEH4MQTTwRQNshefXVVj/j3v/+Na665BuvXr8eHPvQh8h4bjQct0zfw816M8uabHzZ2+FJpGjq03BA23fQDo7KyevUQ3HffcVBnEl96aTjWr9+yImAHDXoXxx8/R+lMbZ6a9UfmnxB53Hffcdh997LrQ1vboXj88U9AiLx7/LAdy52CPoOZy5WwzTZvJv58/fotsfXWb2Hs2Jno6hpQ6bQXLPhE5ZqurpZI/o4cuRS7776iMmh64YU9MXz4/uQzhMhj9uzjsP32a7GPuf+IkMuVsNNOq7F69U6x77bZ5l8Vg2WVEg4/fAEWLPgUcrmqR4+SAkTLv4S//jWP//iP5LT40KJJ6g0bBqKzc6BRIUxCzePNNnsft9xyFk47rWyg/exn52LvvcsDIFlfqpQgFaFCATj44EXGZ8s2Mnv2CZVz48YtxhZbrMaqVTth1Spgq63eQlfXJt7pX7JkBP7972rA1oce2gnbbUcPrFwYNOhdDBr0LgqFem9PnE/wJKIZNOhdDBmyBuvWDa0McI8/fg6ZlxdfDHxVm2vR25pvPQKAw7AQU3EZcCiAHXcCxkd3a1m/fsvYwAMAOjqyCaLZ05OPyJNmpLNz88jn6dO/jv33fxJPPrl/xFg+aNC72LAhGm//v/7r/7Dzzq8a32+33aKf//u/T40Z31VkmweAk076Lfbc0zwh+9ZbW8fOCZHHm29uk5jPL730EfzmNydZ00Fh62sPPHAZ/vGPAyL37eraxNj/v/fe5rFzvshBfE+Pf70tx+gz6wmyL3333S0q577ylQNx3HGrjPm0fv2WWLduB/UOKMtl+X/578MPH4l996UHZ6b7Xn+92ifmKvqDS1uS+XPkkQ/j4YePjJTLG298uHJdT08eL7+8q1Hub7PNv2DTp1z1Dp1Bg97FxIlP4ec/l3pEVFaGkBUybmOzyB697VSNMZ2R6zZsGBgzvsiyLHv2lxk6FDjiiPmYP/8Iq95bNbi68dxzwBln/A2DBq3H5pu/F5vAXb8+zH4jZt3OXXefPn2TyGepX2+//dpI/yZEHhs2bFmpD+pYQ/a3qi4uHSpqiWutymLqPX3bzZtvfhgmQ/J2263D0KE7xH/QS1X3qxrNhADefz8aZJ8aqwHlMYyUPS+9NDxWhylcy1iVI6ph9Be/SOerVirlK0ZIUx/33nvld7fFdpV148kn98ef/1yf4LOyDo8dO9OQb+nYYovOiDNIvA8vxz/1ia18xhnAH//4BwwatD6ip0rdUq+n++//T/zrXzW/CgBEVgd2dAyM5RGlB7322tBYPzhy5NLMxxrH476qPn7IIUCvMTEr0vbJjCNZxlloBmSsh9dff1188MEHsaOrqytyvekaeRS1ABk+1xaLxbpcu2HDB6K1tXqosUBaWoqV8xs2xK9VY4G0tHSJt96Kfq9+VuOHPPtslygUiqKlxXw9UFLikMTvK48bbuiKXJvLdZNpLZ9X79stWlqiz+pdWCsKhQ9ELleqvFuh0B1LZ6HQZfitvL4Yu76l5QNRKBQF0FO57p13ug1prKY9n69e+/773ZXzw1rbxcGtbeLg1jaxYUGb2DC/LXJtPt8Ty3/1eOedbmO6y3lIvxfQE7nP009/EClHed/pV71VuUchXxKFQlc5Pc+3V3773HPVNGzYUNLysxQp90Ihmt68ck9TuVTrMPUe5e9uvJHKh2g6Wls/EC0tXZG2IZ9ZKHSJQiF6fUtLVzkfYvF2SiKX645cn893ReL4mMpL5kNLSzFyv7ffLhqvb239QLz9dtH4Tvl8Sfz853reFY3tnmpH0XZftOaFvOfy5WUZQb2bLiPKZVMypl9ve5SMaGn5QOTz0TpQKJRESwvdNj74oNQrJ6Pt3nR9koyIXttTyTf9Wv16ea2pXsq2Jq+Ptvtu8r3eeqt8rYyHtX1uTUR+2GSElCdUPuTz3ZV8yOV6rPmwY2GVGIHFoji/Tfw71xq71+zZer0tHw88ULK2DVVGfPBByVhvo7I7mq833BCvm62tH4hnn+2q1F+gmoYNF08RH7S2ig9aW8ULLcNFoVCs3Ffmha2M16+vpsHW7ul+ptxPqfK33M9E86+1tZjQf9LyMdo/m2WEqYzL/Wr8fk8/Hb2+2t+LSB5Tv9NlxPr18TLbsOED8cILsq+Nygi9vzL3/0Lk811kXS8/o/obtV+W8lLvy2Q/oLd7Xb6qMqL8f/UeUnaV+xez3mLSp8r5QJVx9LjvvqKzHkHdt1Aw1zdVRpR1oOq7XXZZVB+Ubbmcb2pf2R2T3VFZWRK5XDSvonlRlRG5XClWX9T2pLZPtd2b8yKqc9jkn9QNqvEK4+nUr02SEeVro+Vh6wdsMkLqqS0t5bzp7IzrEVHdLFrXr7xS7e+LvX0wLWfk9VKeyOerbV5t93qdqOiWhKw0yYio7KH1CPV+Zb0meq3ehmXa5fjB/L7mvJDxQyk9Qt77+efD6xF6vuVyPYl6hC4jTLqW1Hdl21D1CP3dkuSZ+f663C4a75PPR9u9vYz1PKvqBlR/kSQjksYl+XxJkX3V9EgZYSvj0DJC1mf9Wl3Gx/NN/b7LomMXI+MdSo+ojpfNYw1TPgPVGLpDW16tjJHferRNtLZ+IGb/7Fnj+8yZ0x2Rez4yQk/PYLwmRmCxGIHF4tnfL7XWa1WPSKr/6lgjn+8m06q3e5ONQV4/rLVdHJX7ozgZvxTFO+4S3fm82HDrnY7tvltMaZ0iXmrZVfypcKR4oWV45Pp33+0xvJtZz1Z1A1VGmMafsi1LHWnDBtqm1t3dXbF79fT0WO1v6rWlUinYtaq9sJZrX3/9dQEkx6CF9dt+AG8SZhbK1KYxaTZLCRVUnLqP7+YbvoGxQwUbTwrSLjfgGoHFoti2WBQXLhaAEFMwJfIjuTlXVvlJHfr1lcDdF08RqzBUzMMosRK7VL+/6Arjb6WSHiqf9fezbfBgOn/BBWHqQ9rNc2otx6TvTO8dasOAUAHx673ZmGxrxbbFQixeLFbOfrKm9Ic6L8tKL7O095d/VRlikh9Zv1exs2h8rs9mYNT909TbpA0eY7JuRbm+7IqXRB7dTs+g+spG9DOmdwp9f6rOUvLuF78w38dn85OQZe/yvvomYSYdSb+/Kmtkn+5S7qHqA1XuvrI7681hqPvbNjyT70D1sfoxY4b5ObVuDJR03rfMGnHetlFkUl3U85Qqy1DnQ/QbtvPUfXw3T06z6ac6DuhcUJYXnfPjcsOW/qw3MwXKbclVt0y6l+nw3bySOqjnUuOQWttwkn4fKv2h2rzvZuBU3U2Soa72gjTpN+m3y7F7kHK3nTc9twDzpEyovqGWtK7CUPEXjBarMDSSZpf7fAhvVSZN0ujAtdRFWedWrmys/axeuNols1lnyDQ9d94pl95FsS3DoNCDiqcl1H0uv9zvenoDhLBMwAwswUFYgoPQeuhBwGGHAgBmYAJGYjE+jrbyhQseS/2MghLTX27Y4Iqe/7IudI2ZgBMwGxfgxxgGpYKMHWv87Q9+YL7/Sy/5pYfippvM56mldVOm+N3fd7lZLcvTVNK0PcBvSaEvod5NCL/rZxGhiPJaj6XWdxXZ1loPPQi3H/RzDD9hb78EaKQtG53nnov+DYWUIV3z28LeuEao+hOqXlFQbULKqVhfM2QIlmIkXsFuKGmbLoUq+6z7mVD9J8VzzwFb41/YB09hBJYAy5aUv1i6xHj9aaeZ77P77hklsJeQbctUZnrdUmWN7NNVqJBCtbQBVe5R/aHv/an7+JLU9nRseop8B9d3Oess83N8daH+CiWDknQzPU+pukKVse/5tOl0xVafVq92v89BB/nfPzIOOLxXXhxhj/evQ8m4pUu9bmNkMDowAktwxoFL8OI9T9V+QwKqf4jiqTgqUOMQpgylO1N1t14yVNa/EVhS1i2WLImPkQEMnf+/xt+HLHfTc5+7O4yCEUqvlPwMk7ATVuHTmIdd0I7bMQaYv8D59+9gq0qIRF0HDsWdd5rPSx1p+HDg9tszeXSfhA20/RxdCAxGB/bBUzjrLGFUjtTBBGUkCZ0miW58SQsloKn3MRmqs4AyxK5F2TiwFCPK5w88MPUzVMXt7LPN17jmc0UZHqKlD9XzJiilO9TAnFLsKIWjr2CLDWxri8303lTb1ndUTULfRVmiDwxvvNF8nWxrL9+9BONxa81GN+e4zQn4GhxckTIEI0YkX7wRkL5NxCvqwoU1JaUCNXgO1e9RhJIPQ4cCp2MWbsS3MBsnxIwLepuiJmWyNs6HvL9JN9DzM2lyxNdw7lJeaj/vZuhIJtR9qPRT9TzkBCOV11lOYvYlKF3XVzcLVVeoOhEqna5IoxCWLsGKPy7P5iG9mIw+PoYUgJZxRxxRQ8J6USechp0wsub71db/lHe8B4AC6F3bTYSSu6ENac2C70SmSYYORgdyS5dEJ2xrxOTIFBsjA8AIc90MOVFteu7Qz+7ndQ+qXoWcsH/ttbKBtbJ/DgqYgBn46SO1t195/1pZvbo8gWpCdZyYMMFvkqw/wwbafo5uWJiAGbgR3yI341KFW1YzZpSxI5QHh6+nBqXshDZ8hTTEUqjvQr3X88+73StJGaaEtu/MbCgDBWWsy2qiIS1UvtkUC6ruFgrA9Om1pykUVNv++c/N56m6QuWFPjCkBoqyra3YdD/jbLCvJ07W3onNRl8flFCyIJm4VfH002tJSRVq4tBVHkt8yyaUR+msWcDP8G18GvOwE1bhTpxR/qLXuFCvlShJhJT3Dz0UP6fXrdCTIy7llbWRuxaoFUxXXGE+n0bPcl1hkfSMZtMNsmbYMPN5c31K773oiq/3d1b1XjVKDj/76Nj3vnXUJqN9jE2+zJ9f/rvAz94bIfRqnNr7n/JY1ddz0XdcQaVzzz397kPRTI4UgH9bMqV/AmZgsyM0b/AaqXVFadYT3r5Q9SqkY5hxpQ9acMnkMJUuhIPKihVu46ienubRJRtNk1VlJjR6g5iOs3AubojsTkihz5iFGrS7Gl+S8PXE9fWi8B3kh1L2VxPvVW+jiakDrwzKERXaaued3jhSG1T9obwxqfzMOp8pY6UNqu6++GJ5l9NmwbdtU4P5UErW8OECecQzL+tl1s2Gr2wK5TEcgjSz6Ule9qSXH3qQ1zx1sg7h4ztQ8i2bhx/2u56iLEflxG4OE9E7M9RrXKjXSpQk0kwsqx50WFL2BFo9t7zSSOfIjDfZbmbjqwuUnXokYYNKoy9QffrNN5vbNvUM6j4MsAXeQSHv573oa4QK5YlbK6pRMhLGqxffOtqo/nNEAN+P0BNOweTZvmbPRUq38XX4odLpG56LagOhw1rpTJvmd73v+MfUBmZgAt6fr3mD10itjkxUuTdqMq4ek00m3SuPHpSE39LFin5cow4s69B2+GclXMXwfz+FfC65MRUKzaNLNho20G5kvI4d8Az2w8039SQqXfqyZGomsVEzVlR6KAGdtfJoUvbTGBdWrDAL1VDxt9LOTgkAZ+HmymdVaNey5DJr78RGxTmjuOEG/99QdZfyiFE7yH3wFIZjOVbPfapifGgWLr3UfD6UN/2wocCtGI9CIaoY9HUjiI3ViL9crfGoG8nw4XTsKl+SYgDnIfDfONXpXtRAxte7zxeqbCgZQRmhqHS6evj3oAVb41+VJY5DX4/KlrRLRk0x6HxIs5zdFEd2xQnfNq408u0fgnlOdSj5oi4n7egI9AA/fENGUZNiaYx0VBs444zypKXrM7KWc1kbBZLuX0tb2oBBeO75HPLoxotwGzFTcvXKK50f2xCSjJJU/aHyv5n6z9A0anUNJXep/q1Rxv9588Lcx1d2XHJJ/Jxt/Bli/LMWQyBGGMLfNRBfR53+gD6eKaAb1+D7To54Ks89By95TyEnqN7AdjgbP8cSHIS/nDANgpjtUB0nZsygx7UbG2yg3Ug54zRhbITqIFJvS9RMou8STVdMXi0u6aEEdNaenSalLI2xb/hw84uF8vqjBlCUAUEqZAI5Mni4i8GLGkeanhsytlGzxDmT+M7IA8BJJ/ldLzvI17EdnsU+WIGPYvgJe+POw24xXt8ob2LKmBJSuR6LO/Dic37xy3SabXmajRUGud73YjBWG0mpBEw0eDKmwSUG8CfwuNO9qHjtrvGTJaE3oNPxDflDeX/FNuhDN07HLHKJY9olo9Rmmq74xrtGRwf+gtH4DB7Cyz+pbjwy/K4fGAc4Aweab0OtfAnlOdV6h2FzIaBhu2pQ9bweHkO2yQ6fwV2oSRPqPr4TY76ygNpnQOLalihj0NCh5Ukrk1cpdb2JSZOcfh6crA3kWZdvM4Yayto7mJLflNxtNmP4739vPu87FgxhULQ903f809cNnL71pK+Gv8mjG69gV3wPP8XNN5kVf0qu+Mp7CpnXAnmMw0zsjacwHrdCECZHqSO9+GJk7/GNHjbQ9nNshgVTI0xjPPrd7/yud1WKk3ZH9iXrGVXTe22+uf99hmU8wPGNTSsVshIKyCG9NnTHHebzxxwTPxcytlG945zJzYCWLfP7na1d/OY3fveqKiP5SqdYQgET8zOM14fyJvY1ZGZp+ByMjkphDHt9WU33ynp5GoWvlyMADEe8MPuSgblMdJTWQ8RM98E26aPmp94vusRJVgfqvmE+qAGv7wDBN8Y3ZbSn0h+VowLTMRG/wcnkEse0S0ZrjUFHQbWZG8Y/hQX4FP6CIzH8u1+qhPEZtuIR3HxzvN5t2GC+z0svmetoqH67a4xhcyGgYSOaRhpGzH26wHXfWe3lJRpqpQZ1H9+JMV/jV6i2lGTorTfUhoq+ZG1Uyrp8mynUkCTrdq+HAJMrPSm5SxHKwOY7iUOtkKPEUpo9KdwQ2P19etWc7/in2QzhWZPVHjwu1DKRoxpYzzjN3EH4ypVaN/p7Hh8jnbuAap1jz1kN0c9Zv369ACDWr1/f6KTUhWJRiLLaVj6WL49+lkexsyiKaDF+J49cjv7O5brOztquH4w1YgQWi+L8tsS0ujyXygvqet/z06fHz+XzQsyYET3XgnIhFTuLTud90kP9n+a9TPmVQ3fl/0LB77krVlT/v+ce83m17N+bv1gcgnjZhyov3/O+9cf3MNWfpKNYjLf5NAf1br7v7Hs99c6u95GfTfefgimVD81Sh6j0UterbUw98nnz7yi5TuWzb92lri92FsVK7BIw30rRfMiXUt7HrT7I/GxBPP+oukgdec+0UgdV9tR53zZG3cel7AtKPnV2mvOt1rqVtj+kjgceMJ/P5bS6hi6xD54UxTlzRXHh4tj1VH1Yudzc9kLLDj2vfcvd97mnnELlm/l8KD1L/c5VXgIlcTW+l1kZ+L6bb1tNyoe01ye1Jdt9fNp2qPO++eB7H99xkW/5uoydWjQZGjIfXNuL7bkuY8Ss60QeXRW9wrcfpsrGVy7qz7XpnLZD6hiu533zOXqUxLX4jhCI6zq11Anq+ixkhElmubSZLGRrLc9Nk06qTlC/Ua+X+abnXS1lWevYN4+iyCu2A+o+xWKDDWh1wtUuyR60/ZxavDf0mUxq6YkQfvd1vT4pLpTvUsZGzEaXSsDEifV/bghMXpVCmQXz9SocMqT6/9HKRrkPPhi/tpGxjajZS9f609YGLF4MLFzo91ybh3eopZh6LFZJKG9i3+t9vQp9mIEJwXYiprwxsl4GleTl6DrTnvXqgTtn5TAcIYM3V4V7Ad2YTizV8kHd0EKP01tdkhXHpU6r8dxvOub+GlJZhSp7X7lLbWpFbdDnQu3+zNnhG9JGaBtp9KAFN+FctB53jHHlDlUfqJUvjSKUB9CvfmU+/61vmc9nHcPdTg6X4OrY2VAemb79UqiwWlQ/4x3Oo8m5557y37vvzvY5oeooVb79rVwaheoN6KtbUv2nr1e173Op/ofyQDWdb2sDLr7Y77lVL0eBHfEa/hdfLX8MtAKlUVChg+pJqc4aj6+3ctbezbWuAsrDvBcIY4cNtP0MfTOVWgwI+qD+hRfM1zVqk7Af/tB8PrslI3aoAVHW8R+zMhKZBrSqIaIWoa2WUbPFNqIGYa71Z8SI8o7V228fLk2+SzFNS1IK6Mb0G/tGMNIQbXUthpCTO75thqqjWdfdpKVFjTWGVDnrnIJ1CVNaZDwtaqmWT+xkddLHFKcXAISHIl6oxCctL/eXnHbDQcbrfescVfaU3PWdWPrBD/zS01egJoBdQ0AU0I1zcGOwyZ1GQekdoeKNU8viqRiGoYykSZjk0BFHmK/1zQvffinUxBilW+pOFKEJFQPVNZ//67/Kf7/85TDPpQi1z0CjNp9rJL7LnRu1v4FLaKIsoHR1n3HyiBHA1Kl+z61O3OawBsOqzi0HHmi8Pk34rHpzO8Zg+F4tlc+1GEprWaZfQsG4+W6z0yjjtqmuh9gLZGODDbT9iNWrgbPOip7z9aKwCTFqgBMqjpcNk3CkBpiNittEDYiyjv9IlXGthltZ3urMrGqI8EVNj1pGzabMhkoPFdc1zYSG70BP97JLMnRtbPgaVn28H0KS5IGV9YZ2OrThIhsPg6QNC6g2Rnmvy/Sb4vQCQM7oQ2vmuefL71xAN86AMjOqLhVQoOQ01T/4et9Rxhrfupv1hKvv/alBBlUXKQMt1R+q+ksB3ZiOiXgG+5GTO30FKp+pSR1fvcl31QVlJA2NOoksaWszywRKfkyfHjhRjlCyIOvNNM87z3yeqiu+RhzXGPdSJlGyKZTxKOSGdSaotteoGP0hjW7UCg7qGVRfHGpyOVT/GQqqTYYaJ9s2ePKB0oGpfqDe+xgIAONxa0S3rMVQWts+Ejm8hDor2wFYscKsl2et41F1nVpl1EyTAs0EG2j7EddfH1dsfL030wgxXyUxjaA3eTw1ymhCCROj12IhruyXkDN2MgLAEowgPU2oAWaopTwUsk7EDBGeqOlRy6hRHthZQy2p/etfwz5H95oH4spaiJ05+xO+MoKqo1nXXUq2SlmT9UBThxpo53JhDP+6jEvymKDaGIUcFFIbgeWAyiZRVJokMu9dTdO+IQt8+9VQA9KsJ1ypzSgpqEFGqF2xZT5XJrFq6OOyxHfC9YorzOf//W/z+az1JspIGpJCwTyJLFe16FDyg9rohyLUAJOSBVkbR3y9oX2N+VQ+Dxzod596bG6jy/80UJNEevnKcQBVf0JtThrSaYXSOSjdgCLU5HKo/jNrknQ5V6iy9JVBvuNn37pYq0wUyBlWQ6Q3lNamKwvsHjSEl51QEznDh5sFUegxqI5v22vGzRCbgX5qGtn4WL0a+OlP4+d9DQj1GPCnUTpMHk++7xZKyaWEiWmA/OKLwBmavldCC3ZBO+6cldPO53EQluDQI1qN9/f1wKI62rS7g8eGyR0dGAHDrugdHV7pqYcHdgh86xu1I+VB5hXQXgxGOe9Xz30KZ50V74T7+oxk1gNS37Kk6mjWXhHUZE2ogRsFrfCZz5cHpLXXQ92IluQxQfVXhx1mPi8Hhfo9ZX4KAGfh5sh3oWJ5+oYs8CWUgS3rga3v+1KDDN8BflL+NPsklm89nDTJfP6LX6w5KamgjKQhefE5ehLZZSJT4tuWQnkDUunJ2hsw6x3dqfuMHu13H9/n+ubb6tfi8h/w78dcwqyUUI3bTo0pfMPZUNRjlRo18UP1xaH6vXpPUofGV5ejytLXyJW1baBWo1sOAnnos9r1M5Sq+loePXXVDXzrBHU95bEaYgwKhBtnyjq9enWY+/UX2EDbT3jxRbNSQG3k0EjSdKgm4ehrHAll1KA6SNPAljLSlVDAxHOjI/Y8SliMkVjc1mVcrkp5YFFKKNUBhzI4tN4xA0twEJbgILQermymcvvtXulptpluypDiuxmeLz6G8wko5/0rJ3zLuLy8WWKTpsXWVqVxOjIxsHQJ/QMDvrKDqqPUed9JEEqZpZYFZz0oofL/4YepX+Rg8iX1rYdx2Zoj48XasBkc1IGxfr3JayNUDHFfY4Gv8kvJLd/zriR5f4WCGmRQZUy9Vyhv90ZNfoWoh/198yKqrpjCfwF+q6EA4JhjzOezDjXjqyNlvXllKHR5L/M91AStb76tWGHy2stGnyqhGrfd14DajB5nX/qS+XwoI3Mo0tStEDonRaMmaEM7xlAbr6Ylh/jGUlkYSl281/Meoa9qfS6Q/ebMoQgth/r6uDU0bKDtJ+yxh3kAMjF9yNCmx3fJCG1caAw9PdHRUg7ASCzFyBHA5z4Xv556L9+YR6EMDl1jJmAkyruiRxg7NjE9WXhITpsW5j6UcSprA61PSIoZKOf9rndfZ5hlzn7AmPXGDzaFQxqnIxMDRxzudf9QkwJUnaOWjMr80fOJUmbvuCO+LHgwOpBbavBcDwiV/75hU3zrYbwPE2S82DS89lp0YKyeB8xeG40yFoTaMZ6SZ7VMWOreX/Xe5RigjVDUe4UakDbKOBKiHgpRbWMLFrjdv96xB7NgxQqzjKUGhFRb+v3vzeebzYsv1CS8L4sX1/Z72XazXiFCMXy4yWsvK30qvcxstn0bAGD+/PLfe+5xu75RcjRN3QqhczYKYkEjjj7afD6tvHedSPcZO+gbS2VhKPX1Xs/6uTZCTbwtWxbmPqHlUL331Gh22EDbTxg2DLj11rhwtQmZELGWmhGqA856x3Vf1JlBHZPnra8HVqiYRyRDhmApRlZ3C1XOJ6UnCwX8kkvC3Me3Y37tNW2GfekSYEnv4YFPZ7cW5bwf9tl9cTPirkFZT0a4bvqRBdI4rU4MLL09G0NlEtRGhZQxX+aPa7y2sWOB++6LnpuAGdjsCIPneh2w1dGcYWDr25ZMRrQ/4bN+N7FQznfa0zcHxNrT5Zeb75W1B1CoHeN9ly+7oHt/lVDAEwi0bs4RyghFvVeoSZlGGUdCLXOX6dc3987CkN8sDB9udmCgBoTNtqrHl1CT8JSMo7zRR42q7Xmy7fp6x4di2NC4/Lelh8ItnfXbsJVKT0hPa7mnImX402mUHE3T783ABOyHf2AfPFUZ7yyb2Rid07cN3HaHubESCx1JfScJ14l037EDtSqCCv/lS6PqYZrnutgwXKTK4XWeW0hKk6zT1IrjjRU20PYjxo4thzpwgYq1FMoLsZGEiptl4pJLwiyVLKAb02/006JDDRoatbupSjN4nITq4PfcEzgEi6oz7IceVA7yc5if8SxNvbpzVg5H4cHYeV8PGl9FnYpFWg/PXWmcVicGjhj7sWwfTEDJFGopscwf182thACuvDJ6bgYm4P35Bs/1OkDvTi1wi2Fg68uRR+pncpiAGVgdyBi6xRaASV1U660ew3KENv8kmTs3TJp8aY7ly3oFz+FTWGC8MitCGaH6CqH6f99YyI3qq0OuFBg2DLg5ru42hR7SzFDe8dQmM76rjHyNTfPm+V2fhhCbBLpMauTRgwLK3oFUPvhOAvpuNtYoT+tmxNavrsUQPI398Sz2xaFYBAA4fJyfzhmq36bKktLNTjiuqqSqqyaIhY6YPNl8PqkuUhuv6oQaO1Dhv/ozLvvK9KAFt2MMeQ/bZp1Z6ZZJaUo7KdDfYQNtP8N1BoKKtUR5hPUHQhhWp0zx3600lg65W/Rp9ZtBV+kr3iHl5cg56yZBteDbwdti096HE7AvnqwazdragIV+BjTbElxKOZp4bgGP4xOx877GC19FvVGD+T33NJ+Xy+v0ZbtZQ8kUUwxpINlDiEI1+K7FEIgRBs/1OkANwG2b8/hgMnr2oAUvveS3HJRqL6NHozfKbHfkvK08qAFFo+K7N+ug2qRPZElfWXofaiIwBIUCMH16o1PhhrpS4J+HEwEuPdA3a92YSKtpSu94XQcLtcmMr3e276Zivugb96bFpX/PQ+DF3mXhVD5Qy6CpCWDf5dob2ySXDRfvxAK6KvuEUEYuilD9NlWWVDjDOcoKLHXVBLHQMXH1lytUnQ41dmiUzu9LyJVW1HgjWnd7nRqIcbNts85zz/XrK9wn6FeasQAAauFJREFUluyOFpde6vHQjQg20PZzqJhQA7cQxiWpzRjbKBSUAcx3AFWrG77cLVpXBlVPhRC7GTYqCH8oyt4bLbENfULh28HbBxM5PIP9qkazFFtW2wznlHLU05NDDvFG62u86CuKuqo8qu1Fejnqy3Z9oeJ1Ued9Ngy0cffd5b+33Wb+XleaG9W2KeWdWobmOyNvMnoW0I3dd/czMVAD1VIJEMjjUbjPzlADB6ksP5bRAIFqw41qq1nXOb2uyPa9hOifG7USxFe2NpOnz4svVg2Vza4fyJUCu+GlzHSAjQVRU4zoHF5CNktjfI0yWY9PJp4bN0ZnifQ69F31Rxlo5fWubTvNJFeo/QeabYLNpW6p+4R4qveZ99uTJlX/d/GUpUha/eVK1s4aoXR+l3oogGpoi2V+96ccumwOY5RNgrJh6HW3By2pNtft6fHrK6gxsemdbY4WfWX8WW/YQNvPoWJCvdeZw9W4KHa+2TrNkFBGk1ADKCm4jfFINVZjKM46J5rZ0lPh9jtzzkuggahipA5ym3GnVx9kp+PqmeVbd307+FAKxxVX+P+GUo4KBYHDDEvdfY0XvkvsmmGZtcmzp1buuMN83hSva/ZseqmQL5/tDbP6ta9Fz1NKnM2bwSe2eNabvbnG/ZYDCjlpUkVgBiaQBmAK+2Arh/cw0O+GlmfUOkCg+N3vzOcb1UfXunIkCb2uyPZ9ONE/h14JIgAswYjEgZiv15+s0xdeGD3vK0NDtEl1crnZ9YO1GILV24/EK9iN3NTPFd8J73pPRiRRqxd2DgIdGJzyPgK7OxrIqf6q2SYDqHzo6fEzRjdKD0oyJrp6O6aZ5Aq1/0DWsa19J9tDrLC0kXW/rXrEunjKUiSt/upvuNTDHrRWQ1t4xm+lxvJUmBiAtklQOo9edwvoTrW5bqFQ7itcoeqE6Z1tjhb92e5UC2yg7Wfoiijl8bT77gLn42ex880Qn9REFrPatFEgHVJwn4zf4Kf4Dm7DODx16DgsPeybsWtfxB4oleJx/B7HJzD+rIJRAaOUSnWgpQ5y+7M3tIlGbWbiq9hdc43/M6iOkIpj7Gu8oNo9NYgPteFebQPP8J49Y5QwSUleCMcc4+9F4cvf/ua3uQ0VW5waIGe92ZurDJIDCj3eawHdGAvCao60A393g4ONrJXKLxGruhvVR1MDDVk/9bARFO7e6DmswHAsCNQ/J1FCHgdhSWUg9kliIOY7UJV1+sc/jp6nZChVp0MZVJ94ovxXz+9mM6IByZv6uTJ8OHCnRwSWrI3XVNlTBr9awzHlUPZIPvSIVu/75NCD17F95DzVb991l/l8PTYP9YHKz0LBr29o1MbDSTqnq7djmkmuUDFEszb4+Uy2A/YQYyEI1W9nvU+Mb53w7TeaKeQP4FYPXUJbULKbur8tTIzv6s5o3e11aoB/h37jjabe1p/4O9sdLZrV7tRo2EDbz3D1cqEaymlHK96fNW7M4Asl6H86LZfJEjfKKJCEyRsjny971AHAz/BtfBrzcDAWRwZ8KnvgReTzuvVcQCBnMNyWoZRKdaDVDEbZRnkVNGqG9/nn/X9DzVKnIUTboJQyqj6Fqme1ea+HMbSp+HghLF2avbJ5yCHArbfGB9xUXadii1MDZN/Blq9RslavlCRl0deQUiiUN2dJo7zqUEplKEMXpaRnHUOcqtN6nZMG2eefL8dVdw0bQQ2c9aWVhYLAcKzASKJ/9vWQopDvm0epPAjrHYi1Bd5IQ5eZlAyl2qq83tW/xVSOd95Jy1xfI5rvUs80uGzq50KpRMdopK7PEur+VJxK28YuJkyT1VvinYrO6SqXy/fJxXRYqg4ddpj5fKjNQ2vdTCvJKWP6jX59Q9b1hHrfk0+2Xx9CF6biRTbbZoJU2X/uc9X/1T702GPN12fdr4a6/yWXhLlPKKiNBCko2ZH1BGEturpLaIuQkzW+qzvVupXk1OB6n5Akpamv7ItTb9hA289wXRpPKdetd8yo7kZ/uN8u9LVCGa0umVyo+wYkNkxG8FIJ2LBBfspV/ubRgwdmx2fdhuE13HxT1Psxjx58Eo8ZDLdlpFJ5ww102rJepuNCqI5KKpuunlm+hDKu+SqmhUJUeXSBaq9nndOYtkHVM1/jhe9MsfrcUIa2tBx6aPkIgVROTUrq2LHl2JEuDB8ukDfEFqcGyL6DLcpLndpcJWuvFGqATA1sn3uuHAM8BKpSqYaVCOV9Jw2WO+wQ5n6uuEya5NFd2eBG1pVPIdqIKflKealfeWX0uiRjia+HFIV838ogLKOBmC4zKRn6/vv2+7jGiDOV41ln2VZVOd22gu9SzzSk2dSPopni3FFlT6Vxu+38Vmvo+SMAXIBrK5P/robFoUPLExdt+DiAZANn1sY73820dJKcMg7cX3htvpm1vk29729/63d9Gobv1eIVLqlRUE5J1fEY8I9/VP+nwv4x6aA2EqSgdP6sVy1kHQu+kc5Rqq5ViwdsR0c03q7EEKXRizBbL258NIE5hwmJvoEVNVCllu91jZmAffEk9sKzdQ2WD9AeSSXh17yz9mozxlcpmAc+JRSw2WY5o3J9xmnRH8jNw269ucdYblKpPOYYU6oE9sFTuOmC9mqaCENv1oTqqMrGlKohIDSN2rxl+nT/jeaowTDlbW0ifQy6OJThLesd5lVv5VoMbSFm69vaypswhohDK5VTSkl1rS/DhgI346zYeWqA7GtQJ3cQrvPmKkn47iBcC3pYiVDyT7Z5X4NjWpKML+okkeyrgHJbKiE+UUTJV8pL/bzzotfp/aOOTzgSE2lDHFHlmyRbdZlJyVAqtIXENUacyevSVjd92oavR2da0mzqR9FMce6osqfSOHw4cNll8fOu3uIC5pUVLuQAjEC5cqdddRYK38209DaZlF+HHtFqXPFGkfUEJPW+lCE/ZP9WKuUwEdPD3TAjXFYBbcyh3+pDPNwY1R9K2bHddtHzruXSgcGR+7uu5PB1BvGFmqypR0gH37EsJQevvz4ab1fyH/+RMmFMTbCBtp9jGqi2tYFevvfgEDyD/fACPlbz0mlfIwgloCmPUoqsDW8mY8n06cAnPhE/X0A3hnvuQD72DGH1mIstNc2VMBPj8DT2x7hrqtrKc2dZXG0zJJRXQdl7QwT3kgwde9iXMzydEmyDYZ+2kSYGHQW1JMXXS0m2VVdvrKQBiG5wpDw799zT/HsfmTWi18suRBzayoZ4AQYPZ8A92GIog3pPTw4LEXcnztpgT1HP5ZZUWAkdnw331DbvuwtzWpKML1QbpeKETp9euxHPNqlU66YoaY1NVP9GbWYm0WUmJUOpgaQ03rlOyY0weAGH9PijdvsOT+2b+hUK5fpYK77hMyiosiedFEpxD3PAffImB/PKiv6OPhZIyq+2+eVYkwsXdDndv1FLc0NNNiRN0PagJcyDAuAaesd0vpmNsiZv6FBypn7Ew40ljcPTbDoqAFyBSyP3dx07+IYN8OWHPzSfr4cjkO+E6W230d8V0IUHcExkbEmtumGyhQ20/RxT52VS3CWRmcYal077LlkgBw+lHqdl7o00vJ1xhslw2xsY29NbEvDzsHzu0dfxc5yNj6Mtcn7ot7/q/+AAZO1VUCuN9gKhoGaCbe315pvc2gYATMAMtM0vDzxcZ5Hvvhte1/saAEJ6oQLx5cfSs1P37qQUjmbbzCQUDz5oPh9q2W+hICAM6kTWy4rr4RWX5AFBhZXQoeqWacm8uqTZ1eBYq1e4HBSa3tc2ACh7MMUbFLWJno/Xtm1SSU1nPeKhSvT+7cILy39Db2amDyRDLF+++WYldFANbSdkeJdkao81/uKL/hOjJkxG0jRQMsXF4KeG9nAtgxyAWzEehUK5nTaTN3GW6HLr+OPLf23efSOxFCMPzDxpNRFqU52kcC1ZhRcD/PsrytDl4qHYDKHfKEwTsFYDWpO1XSquf5LHKuX5fM899LN60IqZODNybtw415SaCRXLXg2poTJ2rP/4xrdtkGPE1wwb5gA4U8lCtXzOO6/cV2yKD7xWZzLZ0MRii8mKpUvpmCJpZhopYeJ7L/16KTgeny+clrknGd58lzv5YNowqJZg3T4MHblDb+Q87cVdR/aO7IjVWIHdMRRloV/LIIOJkyam3xmnubUNAaAD/vXhs58t/3WddfZt8yG9UE3P7+kp7wS/wjFMRqjNTJqNL37RfD6YJ87l7fgkFkA31GU9mPjd78LebyhWI4dSRcYByR4QelgJajBI1S1Tm0kzUVBrDDdp+DG9r22SqLzSIT5RNGyYeUNNH69q26SSms56xEOV6P3bD35Q/htqwo+qbyG8ws84oxrPuhaDb+iJNQpq8E/pnNTGRmkmyU3c6b44wQpVxjadVMpSNbTHiSe6P3Ms7sCLz5XbaMhYpfXkoYf8rtfl1pw55b+NCm/lC1Ufjj46zP1t+lqhIDAdHjvreeLbX1EGP5eyVCfVKJ0klKHOFfke0qtbfa8zz4xfL2m2tkvF9U/yWI2tBO0tF1vdLqCrsonn4sXlPkj2vxLfkAKhYtlTIZcuvdR/fFOLo4i6gq5lr+EYg/iL2FYfDcVqYhNzpt6wgXYj5NBDgUOJ3VbTzDSmWaqgM3t2XNlXDa4hlrn7LnfyweRR4jv/VDEKmEa1DWYMbsdKDMfH8ALasQvG4PaGKbn1VqTqQdISFapKrH7NrW2UkMdBWFLxRsvKoJF1nKckdPkld4IfDjchlfXSeOnpp9fVEF5tAIDX4gZGm0wP4YkzBrfjaz/YHbtiFW7FeORQHfVR9w81WZYUr9OHMbgdL2E4WlCqyDigWqf/8Ifo9WpZqkqxGidZhapbpvJJM1FQ6zJOOcBIE180D/NEkUk38PGqHoK15EBPlku94qG6IOPjqbgOGOu1AkgaK2uRdaEn1iiowT+lc770UnivnyzqGXUvyliQy1VDNLikh6pzw3rLvJ4hYEJCGaT/8z/dfl+LjGsEoYxHFDbd4MXnur3CJfmSZjIfiPcDLmWpTqpRBs6s81pHvsdJJ0U/A2VDGaUTuYzR1fa/JOMYqFlvAKgyDKvLHu7bra70P7ofku+4VDWsUqsTXMbmtYZcUknrKDIUqyPOArlSCTMwITIesFGYVdaBh+E1zBBVXT6Uo0V/HLtnCRtoNzKk5wMVgzYy0+i4vIVaquADtRwyJHpHHjK2n49HSUVYKssPpHEAADB8OHJ3xrUCaglq1sIt99rq8vI4KaxRFvq/uTZ7Q7JpR0lqmaGrIqUHl2+GzmHECLoj7+iofUCaRyky85zV4CTrOE9J6MuPZ13ejmF4DcM0BSVrz05qgExt/CSVU5OS2tERv5/p/mNwO1r2ihsYbQOhWr3dh6IsG3K9DzkTM7ESu2FbvG69f62TZaGNWZSMG4rVlTrdFo0gQ5al74DFFBJm2LD6y3spf2zesjZME0XUhpomfN9Tlkva9AbntdV4GEfGBkOuA8bQoXdsK6X6ClRbojcGCuP1oxpBZKzdwYPD1TOqzlJeWHfeWa0fLunpKx6ivtx7b/nvrFnAdddVz1M6oS5DapVxITGt1tCpdSPEJGzhyIY5pM+FWjZJcskj37KkZErWee0LFebARVeKrC7pI7JALxd9nKyPkamM8J18UcddptUJLmNzIOxmYGmN3nvgxYoOK2lBj5ODylCsxoBzqjrwOFHV5UN5bd92h9nkWK+NcPscop+zfv16AUCsX7++0UmpC8WiEOUIi+WjszP6uVjsvXDlStGFvBiKVcbr8+gSK7GL9V5J5/N58/kVK+LnikU67cXOoiiiJfG58jOVHv0ZSdfPnx8/194eT6ear+p3LShWvpTnx2Cm6EY5Y0r5vBiDmWIoVlXOyaNUKMTK5uKLzem86KLq89R88i0vKj/ff+Avxh+MwrzUz6X+16/Podv4nTwWLLDXK9v99fwLkW+mMk+qh/Lc5Mnm6ydPFmLlSvN3K5e7tQ01XS5yQj9P1Y1arze1G1tZPvZY9J3ku8vzapsdg5mi1CuESoAYg5mV75Yvr72OyrS3t9vrlzza2oRYuLD8/733Rr+T6TbJ6ylTzPdT398kQ7pQEIOxhpTDtdZ1QIjRsMsG6j5qXqjlTdXb9hXFyHnZ7n3bfGdnXF4Bdhkn76U+S01/+4qwcleWOyUPdHmVdPjKe0o+qed2QVV/oPLUdB9AiOnTk9MGCHHpReUfFzuLXul17c/1OleRkcpNXfUOVdZ0o9yvyzpKte0k/YX63rW/NR1qXvnKdP0+Jrltu8/ChWZZaUs/VbfI/oTQFam66JN3kyeb7+Gbd67pSUqbLT2yzsk6KOt2UlsypUdv62ne11cGJV2v5x+lG+t5ZJNxsv6o+RTqvfTz6jigG3nx7+kzE+/jqjP7lq/pvEmepX2275GURyYdyact1TI+cdHv09Z19ftiMSorfcc5bW1CLF5YTuDC+UXjNSHrtCojXOuifl6+1/z58XHyd/DjmH4rCgUhVq1K1FVc0yOfLfNv4UKzXm0am9vyKk3fo+aFel4d/6iHtEt8Bz8WJe3LLkTT295efj+9btl0+VrrikmPN9Xpin2qn+Nql0Sd0tMw2EAbF15i5syK9ZTqfH2UYur8OeeYz5sGmI0w0FJC0HZQSrGLgZYyonwF/0MKRpPQpowboQ20Ml+euMec7iWzV4mFC2s30FL539kpRAFF0YZDBCDEH/5QPn/77ebfur5XW5sQixcnG8vS5Jss8zXtxUgnmFTXbQoZNSkAj7bR1wy01IDriCOi7yTfXT0P0G1NKiq1KOl62ilD2rhxyeWeVG7FohBr1lQVKtXoo76/TbmaMaOsy6at07bzafOZUhL1wYest5MvNk/UUMZKW/pNfdt7y+n3oAZQsiz1NuhqIEyqW1IeUPJeP3zLmDJYJhloTQNnHwMt1a7092xfEdZAS9Udo4F25UpnAy1Vd95bHm0DtRpoZXm59Ld6H2cqk6wMtGrfpR9jx8bPUfVZPrsRBlp9oA7Y+2FfOepirI4ZXBZHy9QlPXrd9jXQ/nu6m5EsbT6kNdDq/cd111X/V/VDPY8SDbTLyzPhxeUrjfXBt/6YzvsYfRphoE3q05PywqRv63IIsPdXtjzaWAy0VJ/mcv9isSqc1cmGLAy0yy+MyghpT/A10J5xBl3/YsZZecybF9RAq8uHJAcEoGxOAeixaBoDrcv4Rz0mTxaiuNLQZgDxHVwbu9Z0j6FYVZmUkYds97WMiYGyAV8gKlepfN8YYANtL2yg1YTXylUx11bTgDqEgVZVvJNmANvaRMygVRkwZmSgpYSgPHQvBKA2D1pK2H8Z/+uksCUNSEMbaNVjDGaKLhQqaRuDmZV01GqgpQ59cJZUXq7vZRtc1nr/FhTFGgwW48fRnr8uHmouHTzg3jZkBylWrnSSE/p5vYP2VdJ9DbSU7FBnkBctiHvQ3n+/EHfdld6zUz2vvqPJ6GDyoJXXmQbgajnqssXmQavmj5q/Lh60Q1H2MKA8sEPIiDGYKUq9o60uFJy8bVy9Q2W9Xf23qmKnDvhCedB2dkZlnPoeoQy01EEZwIrF+P+2+7t4hdsOmfc2+UQNnA/FgpgHje/AWb9eN5bUaqBN8to+EzOqX+bzQsyY4SRbKe/r9/84j6w/ts9JeozureRjQK2HgVY/pIwzGWfVekc9W52klQfV/4Qy0Jrqlq0fTqNTJRmrYwYXTcd3SY/8qw+QXcreNGCnjGRp8yGtgZbqP5LK3Wagjay4yUcdV2z10yUd6uFi9DHdX/2f6veolSg+5eKTPpeyo+qprb/y8eZjA6359/Uw0Nr0Tqo+mMbVLvUvKw9ak54vx/lJkxXqoTr6qPdMY6ClnLHU8Y9ul+h60K3dqpNb+v3/Pd2sA1MH9Q533FH937RqmKqLbKCNgjqlp2GwgTb6OakRhzTQ+naQ+iFn1P5y+0rxLPaMCUVdSfE10FJC0HY/cubdwUBrE/aqcaAnVxBdM+KCUe889HTWaqDVBz26F46u5Icy0NryXx2MmsorjQetXla6wqB71FL1zXT/FhTFFEyx1ut6GGj1pf6VepfPCzFzpreB1vUIZaB1kR1t86sDd1l2kyaV/5rbmt2oYWoDSeWop902ADQZR5KMMq4GWlnOJkNpSMMCWY7L7SFz9INSEtU2Ril2NiOTS/ptfZvrUr2I4WZ5ssFMf8+ktKYx0PqepwyWtrqbNHhSPWhqMdCajCW1Gmip6zo7zfJCFAqiiEJiflIetIvutnvQUpNe1PVtbUK8dHHcW6mZDLSmOi5/r7Z5lyW78rdJYY4i6SLkEFUXKSNBVgbaJGO11Hn1+lGLgdYkR13KPuSSV1cPLFcDrVqX5KQsIMScOdH652qgTTLEULJbrz/6hKvpfAgP2qRwZ7W0bSovnrjH7kFLGd7STI4Y8yhfzqM096/FQKu+by0G2qQQO/Uw0KppqNUrEnCTEa5jCDnefPIBsyfnd3BtZYwsCoWy62pCH2dKv0t6Jk+uOlhEnJPyBTHj48kTN771k/rOtR4Ui8LsQWuQK0m65c5YKV7AcPHk7JXGcbbrOwBuBnz9fTcG2EDbCxtoNWFRgwdtLQKd6vDkMWeOeUmevpxSndGhYof6DtB8BHotBlqTsJfvs2BB1QC6duFKsvMH6LhatRpok95JXybna6CllAN9uZo8/nmVeXkdNchMa6DVyzlJ+bW9l/SgnTunGFuSaKtDoQ208qAMD6sXRjvtpIEq5fHp0mZsZVOLgdZ0nHxydbD20iUzRSmXq3zZg5xx9jbpoAZnzWagBcwGiroYaB09udU8NRlo5fVJHsFSeU7TJ9mMsDbjralNmmL1kd59Hoq6TYlO8p5yLjOP/lCeMw6ctRur5ZTGQEuVvQwZkJTeNAbaH+G7xh91I5c46SCNYJTnie9AlZQFK80DVz1fgHL7WLw43q+qk7tZGGhNZW4qJ1eZvmJFcpgjedjiZtpkoO2dQxtok4zV1JHWQJsUfsOW/pAetEn5nFT3XctFzxOqzes6Z5LXqGv9SdJ/ZN+gy4vlF/rFoFVlveqtJp0L0rZt2ReX21JUnunv4HqkMdCa8ojy5svaQKse6piO2nvANuGkHroxPbiBdqU5XIdrHXY5b1sWT7UFW/gdSdeM+IpNIL4SUIj4SrWkyRS9fKhwNqqXvnzuLlgpzjsv+h5z5pQ/z5lT/V/tn+66q3reJZ/V76hQYFR9UduMAETX9BnW9mKqZya7heukAxCdMJt/hdskHxtozaBO6WkYbKA1CMGZMysBgKjBhGmgWotAT1LcJk+Op3/JbIOCmK8ak2v1oJXXmcIrUPfzNdCuwWCxuC0aj5SKx2KbnbXFQqvVQEsZ3UIbaG1lr58bilWiJ2ceHGRtoPUJzaEfMo8um1wk26SvgZaqnwBtGJNl+dQN5g5y5tfnOZUNlTfNYKBtm18U43ELmXbbZBSVfpN3tk+bb7iB1lAf0hgWfI2AvgbapPpmGzAvXFj1lE66j37oMRV1g72XgdbgsUAtf7OVg6+B1ncCKaSBFogOAqjYcKMwj3xfKnSIvJ4qexkyICm9ru8r6/Kiu1eJbuRiP5CG56RNcuTnJXeXPU+W3LMy8p5U204Kc6JfT61+0vMFsG84WW8DrWkA7KobXnSRW5ijJA9IU7qogTxVt2xy1FVeJhmrqdVBJgOtTS+Q90wKv6GXkX7oS17TxqCV91eNiabnuuoXtRpo9fYRqv746D+7YKWYidOtGw75Ghmp731040peOq4MUfPD1SHBNU27YKVYi23FUKyq6f61GGjVclbHaL6beKqGK7UtSKO6qS9Mm/6uGdV9ZtTVR21tZiNimroSeZbBnmDzqKb6DlXGmcbJ+l4aQriHO5HHuedGP5tWphaLUcPvogXlLxYvrBrm9UnQtjZ6ZYRPfqppOvlkt9+r9aVixEZ8s0P92loNtKZDvafL3g7q/dlAGwV1Sk/DYAMtIQRX2pekmuJ+6cuHfAS6+j8V21VPv2s4Bv0ZvgPSJAGoKos+3nTUcvcCimIxRog590aXntgMtElCVT4vzWY1VNyqJAOtHCC4PpcafJi8SWwGGmpw4zpISjLQ+ip2an1WNwmj2qSvgdZ2UIYxmY8v/y3Zg9ZloCr/usYBdh0gUJ5eVCy+iFLSWZ0Akd7KqgLvGpOJKgebwcpUj9S6YMrT0AZak4xum+9noKW8t6hyHjPGrx7aZIGpzOT1SQNm1YvBZempvGfSJgg+Blqqfv3x+/OMHhOhDLRqCBZ1kOVrVPfZQEc/J72QD8YiMk9t9c5Yh3qvz8qDVvdkkXWc6muoukfJtvYV5X69rXfXbN1jJ0lfSZoEe/gufw9a3aChlrlvXHG9rEx9G7UaxnZP/f76pKjaJqmwVC4ekK6eVlTdstVn10mTJAOt7TylT9jS7+pBSx0rVpSXvMoQY5QXWpo65JOPruXiaqA16Zyq16jqtUeVvelckv6j64rtGJaqnegGRN3opvd/rhOxapugYqunMbylNdCqbb+W+9dioFXvT3nQujhy+BgS9XfyCU1g03Nqmdy26RGUPYG8nihHVcbp4009/yVqObS1CTF3btQQDkT7ft1Aq5YPKUc642NzW3mq7eiuu8pp0vsaX090WzkZ6yiyN9Dqkw5AdP+Nzk7z/jX6PdlAawZ1Sk/DYAMtIQSL/h5P+tL6pN+og0eTa75JAY0IRYMHnBpTJZSBlpqZdV2qQqWf2jCKiqmW1kBLGRdcOwAqblWSgVZNt8tzdcFtejebkiG9p6llmq6DpNAGWvV3JgWiVgMtVT8BQcbcU989suylN3aTbRBja1NJcZupARyVdy5eCDYDrZ7Xan7bPGhtEy21GGhtR2gDrUmOGL1qPQ1lpvJLfDdPA62uiJnasx4O5qWLy4qdKkd83s1l85NQHrSmeh3KQEsdVF5TcpEKleMin9R8ojaWoDz8ZP+gK/dqm1TjKUulXq+TSTHZXeu4aaWOrZ7o95fvM26MuV9PigvpMwlmWvZr6m8pg14aWeBjoKXk+fjx5okYNf9Mn2WfKusaVUddPCB9DCS+BlrXVTchDbQ2vUCtU6YBsl6mVH/o662flJ9JoZKS+p1QBlpVNkU8F5fHN6Wk8ieNgVbXFWW9pgxL1B4Let1Iqtu+fQMQ79N9dRVbPtnS1FcMtFSfQ41/9Lj76tJ4vR3XorMl6TlJk9tU/qjxsdVj8mSzPWHcOMv1RDmqMs7VQKu39ylT6Oeq+aTnge5Bm2SgVSdB9clQXSb5jBPUQ9YN02RrCAOtKYSCj4HWtlJH/R21alj/Xx8X9FfYQNsLG2gJIWgQqOr10stz4YJqA9cHQkkCnTqcDbRFEQvHIJdYAe6eoCbBZBIK+rtRyoup4zHdQ/WmVAWszNu5c4qRmW95vbqMwpR2qvN2DUuRtJs19U4mD9rFi4V4crb77KkuuPX3Uc///ljzwJ9apuk6SNK9NnWjIrUEt1EGWqp+UjH3TJsu6bGbXAftlFKepEBSnkP60d5eHpj88pfRwYnqJUgqzsvj8ajUdysWhRAzqjuzu2ycZaqLxWLc+woo5/GaNdH7qJ6huhelaYlvLQZa1YNW1lMfD1oXDzLXI8mT25TPpjLTn6vWW5cBue29bJ4l8tQvbk8TgzYaU1w1ILuky9dAS3lpu3i+qOWxaJE5vpmpn9fToBvNTHF9qUOmM8moINu3VOpdDc26vL/sMiGuuEKIG2+Mtkk1H1+6OBq7TSixq/V6QuWz7NcnjC1GBlOuHrTyOin7Zs2KykQ5WHPpb00GPb0c5fvb4rpS7yvlnF7PTZ6JUk7a2rmtrqiehrYVCtQmifK9dU8ryripps/VQEvpCVSZhzDQFovlfDVNgui6jJSjS+5eaUwX9W4yBvBijBCL24rGzRzVg/Ku1M8ntQmqfJLKRTc4uMrISj70GmImX5y8MV1IA63NsJRUr9S6nZRvVD0x/TbJQKtvpis9BW1jF+rZ1Pl6GmgpY7hqzKf2CXGRZ1SdNb2XPrmpeoBShlKpc9ucW/TJbZOe4uvZ2d5utifYVnGY5JbeT6Q10Kr3VvugJOcgm6w3GWhNxkTX8lXzWfa/QNxYT+nJtvfwMdCadDCTgZZqq6oOactrU1mygZYNtBu9gVYXthUhaBCoSQ3KpSNUG6pU+CklyclAK0Rk+YStI6Q8Vaj0JxloVW9BdRbL1KmZ7kF1JlQcI3m+BfH4RrbOQ+avbqB18RJU84GqK7rgV2PQiplxI+GsWUJMm1a9j1TkfDxoZf6bdpSkPGhdFTLf2FHUfUz1uV4G2qRNlPT80dNFDdr1g4qLSBnGpBKpx5rTlXn12WkGJqpxWuTzlR1d1XcrFqsfXDfOMnnW6BsGqMeUKYTMEnYDVAgDrRqfTZbTL+6Ihz2gJtZs5a4PUKgN7yr3StisTj9UZVwIetMvk7KYZDSxvZfu7XnHETNjz6M2x6RixOmGRNvzk/LaeH9Lv+UySKRkIVU/zzvPPHhS+z3dQGvKtyRjwf33l42QQPnvjTdG+w0Z9619Rbm/cfF8AWhDrt5W9UON3SZmzKhMDOvLnfV8rrSPheWby/A2ep2mlh3Lv0nLuyuypZjcz6tyiJL1rs+1Ddhteopp0GXqt2XfIPuMmTOjedSCopiMy5zaErWiJDbgJnQ+Wxtzbdfqu+lGb/mulM5jO2/q36i+U9dlpBwtoGiswzbd3sejiurHqPTZDNim8kkqF1dPUqpPk4YYKXPUa7P0oC0WzYYlVw9aNS/WrCnLVvX5aptSD/X+ur6fZKClDr0M2tri6QGSDY2y3oY20LqsDjK9o7phdU8uL974kblPcBl36f/bZJGer0kbxAHRuLClfEG8dEnceaNY9FtVQMWvXbhQiDXtZscAqg+i5NaUKfFxsq+B1tTPuMhbm6zP0kCr65WxMYzh/rb3SOtBq9oR9HeldISxY83jJWr8yQbaMmyg7WVjN9CSQrDob6BN2kxL/6wqQ+rvdKMPJcRMAxJbRxjag5YSGpSxQ//OxUAbmfnuHeD5etBSsWApxYUqD9Mxfnx1oBkz0FqWkFP56DMooQYH1PVUnCa9PuhLU3SvEF8PNd1oJoCIV6eLQmkztpjqlm+M3rQGWqpNU+/gG7BfDij0srANTEzGaVEoCLFqVeTdisXqh1qW/Y8dG/W80z3DjDJL2D22ajXQUptdmY7Jk2kPYGon4iTjQKwcDQZam4cuUFXGhaDrTRoDrS0Opmyj0ogTm4Rb6GZojqShU5OLhjTpO/6qB7VEnXrHUAZak3IO0DHq9MnEJANtUr+adMiyv/SiuFHJlj8mr7DFi+3e7pGBibzpSvNyZyr2oj6qcjUWyb+mCWF92auuD1H1zTY41mWJfK4pnpzpGDuWnqw23d+UFrUsbQZifSIqabKImiiKDbiJumlrYzZ9Sk2Liweaup8D5a1nGrjr1cxk1FPLVKZFTnYsnN8YA63e/yV50OrvpuctVS66TKOWBZPtQ5PltrpiyrNaDLSm9uHidKDnRdKEt+1QJ7FcPWhnzSqvgPrlL80etC4HteItCwOtS3x99fpx48w6Z0/OvKqCSg9VZ03vpdddyrmFOopFIcTKleJOnGbdtNQUR5eSXzb9/rLJdP+vt2MZzkPqQtRKi9AGWpMTABUuK9ZfZGCgJcstrkoY3zWEgdb0v0neU/semA7TClc20EZhA20vG7uBVp+lqcWDljp0ge4601qrgZYaoLoaaFVDnGmwUQ8DbUQQF+Pnk4SqergaaKnDFmPIVCeoTXJemDGPVIpNCj7VeVIbp1H3calntvJMMkImDUpUo5nq1emiUNqeZapbWXvQJu0sTr2DLEd1sK9vzuNTFqb/yU195s2L3EO2qTUYHPMqpYyTs2YJ8cUvutUnq8wizlN1zcdASy1hm/ffq8Qv74pvQLhokT0eWFKbod4pkk7CQKsPsFVv+jVrqsZ56WGjL+tOY6C1GcakTDHFtNT7GvU9bDHiXAy08v6uExi2dwxloKWeQS1T9/WgpQYm6sStOlGmDtrUCUvpzeZqoKXqblJbjRloey9OWu6s1h31RNKyY2rZd5IM0euorb7ZZL0uc6i6OXZsfIkqJQ9M9zelRe3n5RJPUyxGfSKqa0Z8pYR6tK+IryCQabbJY6rNuOhdvnqWrX0m1rF4NTPmaaxOaTKq3gbapP7PlO82QyNVLvr/ehmHNNCa+jeZ31S8bNUw7WKgdQm3pb+z6kErVyZ85zvmfFQnCnw9aF3HR3p8XenN6+IdnLUHreoVqhqh9E2MX7jFHteVWl3jWmcpWW+6Xp/QMTk1qLovtYku1W/axs9qnxapNxYP2qSYsPqkjAw/J+WOnFSS9UG9ucn4q47l1XsnxUu1yfpaDbSmySbT5mGmcqfaFmVozsJASx2mCVP2oE2GDbS9bOwGWrIzLfobaNvayh6VtgarCg7ZaemKt+wIbctrqLSGNNBSglp/DymE9Dhqps5I/Y7ypkxjoFWVQd1jg/L+ot5XHzDK90wK6eDiQVvq9WSklGKTkmHrPH0MtJSyYtqp1lSetRhoTUYzYcgLqlxsz6IUUyrmnqpIqRvICVSX36r3sg00bEq57R1syo6p3UhMhnp1xnb+fH8P2imY4tTe1UNuamMLzm9TrKnz1LJn1zjQK1YkGKiLcblNvefXvkYbzmPKPtG/VK5xDHEgJ4FkGzz/fPv1cqPFxW1Fo/wz1a2kneR9DbRUOasDWTXPqbahlr9a9ll70FIDYVt71eup3ufoeajGQ5aHqU835rlBf1H7Q5NRySV/TM+wtVXKQKsvdybDCWijKn2QlTTYkUt7k2TImvZoXtca4kD+NRnmgXisYrX/tOkp6pLHJPkBVD1zZd0zTkQZ5Lx6UMZ0PU6xHodeP2ox0KptRsZX/9Wvql6G0tOQ8qC1ek971qtKnWoyA60p3r96vli0L/l30TVM+aPLHt1woodV8Wm/an4nba7maqClDpss1OuIzdCt71wf+a3Wp+tlZmrfpnyi3s3FO7gWA63Lirpi0SEWelGUZY7DakFbemz1NMnQaJLbSedjBWuQH6a24TJ+Vv9vbxdl/cwQWktvY6p8MxlR1boq5U4ecQPt4oVFsWaNn/FXPk91AlCdR/R3MsmFNe3pDLS2kA6mPl5/hmq4trVlmUdrMFgsxgjRNj9uoKX0Z/m/Sd5TeiDVL+l1kg20UdhA2wsbaIkGUEwXgzYpThIlONS0ucaIM6W1FgOtLnTl0py5c+nYsnr6qE0ZZGck06PGK9K9KdMYaG0HVaY2RUFNq21GXH1ffUazWBSxTdykhws1YDENSqjOc+ZMPwMtdZ7yDFbjHZnyQTdc/vSn5vs89pjdaOaiUFJ12VRekd8ZYu6ZlE6Zj989r5jY0QPV5V76xjUy5pXqeWF6B/V/KjSKXteEcPcwVI3TolCwxqBVPWhVj8BFi6L3VOWBGh9Vz/taDLRJ8Y+TBrYXX2w2UHfnCuLJB1aVDfCIym1qKfvJJ7vlNfVOkWsID1pb3FqgbKCldsKV9ZYysFN1S53BN+0a3kgDrakemWLiqR4Rpp129fc01R3ToRuDKKN3UjvU8zAHs2HMFPfV1UC7pr0YGWSQMYAdZKetTcrzlIE2KQ6/WnfUE5EBrEHm6hPXrh60UyYnb2BEGUVNfWTSBKpr/G3qkPqfmhaXuLauKyUi770ivnGizGs1/8eOdWsntnpG1QnXwSalw7jUVfWcbRBNedCaJq2pDQyzMNAmGTBddFRTuej/6/mol41uONHDqlD3kXmm91cmD1qTl6bcLV3KUGrjWnm9LdyW+s76feQkwS9+Uf58/fVCTJ0abRf6hkRqv6b2hbZNGk31msq/ehloqUOffDZ5hRonqLWxDhVWykVO6GVGOT6ZvDubzUBL9Q/jxsWdYExyzORBKx2O1mCw+MIJ1f5O3adFH48nGX+T6ojtneRzL5tcuwetS4g0/RmUgVeujNM9aG06c1KZ2uS9rm+bNgBV76k7CKne0GygZQMtG2hTGmil96fc+MQkPCiBrisuuvFS9dSkltdQabUZaHVjkn5QsfV0Q53+HmoMO9uMnbyHzcOPEoB6h5qUlrSx6VzKURWSphlNudFE5TplEzdKiaLqmS2d8pm6B51qxNUH7bKTssXJkd6RSR60rseBB9IxqrL0oAXiSrSeD7KNybI7f1Ly4F49KOO26VDfwWaUNdVFiZpuOahRZ7kjivPyuIe6mk9qmzIZ5GyGB5tcDeFB6xqTT3+GvO6uT0U3u5KDhcsm974vYVRKUlRPOMGQz8Q7udRD/TcmmWrLa7X9U/JPP0wxsNS/zWagtQ181b+29zTVnaSNZmxtUq2n0gtQDz1BedDaBiDGPCfars0QaVtR0mwGWlvoAGowSaV3zRoh5t5fFLPwdQEIceKJ5nubBsd6+l0NtKa4njYPWtOSR/191AGfGuLil7+synpbn0rJIlUOJdV1qQdQhslYO7foU7b+gcKU10n9h6Gaxe6jtl89Bq30DE3aGE59F5MOpsdhlodpfwlTWqm4x1J318cMoQy0+qq4pUu1uq2FVaHuQ5036ZCUrqHK0KSJW72OUcubk5Zx2ybe9Pe5/96qnAGE+MlPyn/1iSW1fZscWPR+QOaN+g7qZldq3arFQDtrlhBf+IK9flN1h+xDVq4Ub2Br8eTsldbxWJKcUP+nykTd/8OWNjLNWkPQvTCp2NlU26bS394uxPhx5r5aTsDr/YepPsTkZTFuaJR99DfHFcXSpX73lueosbT+TrpcWIPBYu6covF5JtnsIqcpOa//1rRPBxU/V/WgXdxWjKyS09uuqUx9JuSAuP3EVP9124F+TzbQmkGd0tMw2EBLNIAibaBVvT9L+Xxk6bT6DNfZcpuAsilTprTaDHtJSqe6O7UqpHVBLw996Y4Q9KYMqkKZ5E2ZNgYtVc5y4Pbk7JXiWexZ8aak4mxScXqSPGj1jSZM5SPTQnkqm2aoVUVBH+D5zAYuXEgb4dVrKO9IfQmXTLfs4KQHrR4nUx5jUDWalfIF8dZPsotBW/mOMIxRne6a9mKso58zp+pFLs9RhtkvfSlelrb3Ug+TMYFaHkcpg2q9UZcdUfeQH0wGOdMmXi5GwzQGWpNni60NUmUvv29vL7f3FzA8MlgwedBSeWkyppgMxdQ7udRDaumeKY9NzzDF8VavMXkxmWJgNaOBVtZlGYMTMMd8pTygkzxoTQMu3YM2aaBSLJonJW0xaNU6aupXTZ6iprYrPWilcd5mlDe9t8xH0wDKVK9NBto1GBxZJpgmxIHMB8pL6rzzoummQghQZUEdpolntWxdDbQmPY2SByZZYTqXNBksjzGYKbpz1YmoN35kj0FLGWh1OWHy/FGPvm6gpTzAvn1uuS6rTgwyFiK1gaGPDmaSM7a02mKjm66v1UBraiNGfcGyclAeCxdGDbxAPGSR/L0am19Odqkyc9EisyxWZaXtPWR56xvg6h6Ftk3UXPLLVDZJbRiIGht9HCDUiT9dZ6Lan+mgvGOpiT7SQKu9tGnpOTXuouopVWaReMAOsjnJQOvTd5gO24Zaal+tylgqhJXa7mwGWrX/VSdQ1rQXrXXNFGYnqQ+zypEiLQNVhw5VL03S9Sm9kmpbrunV9Zik++tpVsNI6Gl26UfVe1KbVOr1lQ20ZlCn9DQMNtASDaBoNtC+t9y++ZAQVUGjL3uWhz77bVMk9U7K6D5f9POgvf76alB8VQGcMyfawUgoQX/iifblzpQRLQsPWtvAqFgU4t7jzbu622bM9Tg9lJCsJMtgiFizJhp/qK2NHoi6LInUByK6B530sqE2cpKDXXVnWdXIauvwkjzZqOUyqqHjydnmuMP6OyadczXQLlrgZ6BVM8CkBMhzVDxiytihP1f3jKLKi1oeRykf6qEuO6LuURlwGQxyJsWFwlQ2NgVLP5/k2eJroDUp4OqFLgZaU1opDyCqzCvXEAZaSraavJRNz0gy0FJloL+POvmiDoz1mIe2WGrUM1wMtO3t5XYwa5Zd/vkaINTnuOwe7+Jdqj/D5L3hYqB18Qqjyt5UvymZm2S8NQ2gTPXaZKB1MUypOpVAdRJMH6DFvPV6025b2aOnV9ZR1XA9d258go0yQJrahmn5oi2chIpuiDAZl9U6ZBo4SygvobUL4yt09PeqPH9+UdyPYwQQ1UtjGyAl3MfHQKtP2KpxUm3o5WBLl+m8rW/QV2pIw8akc+lQJLZ9AFQdzLYPhdwASl/FRnlRUkdWHrQmfUaXOfqkzP330/rLqFF2GaenSc1j3YPWVjf0uqevPjSNa0z3s+WP/vn+e4vilzhZ/HJWMbKCghrfyTactCGp7kGrelGbQmdR9zHlr1pmapop4yt1uBpoKf3GlAd6GCFKpiaVW60etFS/6RKSitpQS/1A6Q5Uu7MZaAWiepV6c9O9baEiqPx2kiNF80qupDGRrf7bbB62upGU3rQGWlUuCZTDSJjGvlTbt9VV0+aLan2l9vvpr7CBthc20MYbGDUQBYR46gZ6t0rZGJPi01EzrDalw7rcuOgXgzYpbbpgWbPGrnTqxgSbYi2/U70p1RiZxWIGBtqV8c00ulAQD9+1KuYVcddd1Q0r5HfSg0uNd2UKAWAyRFAKiozxRi2J1AWyPotvyisVlyUf6nUuy1KSNklzMu4Zei69LE2bGKnL+IFoiAbKc0B2piEMtC4DaB39vUyzxrawIEB1yY1e1yjPhki9UWbTTekqFpU4ltrya2pXb5d3rcWDlvJs6a8GWipGWCgPWv0Zen2R76FOvqhtRjUW2mSZ3v4i+ehgoLX1mepgrhYDrekYP95/+b+pjujywWSgbcewSBuVg2Td297Vg1ZPhK29qt+ZQieZriP7mt4v17QXxVwcJWbdXi5XfUVF7D69N6dCM8S89XqJGdMM/aXpOaYMtLVtvWwpmRNr24TMEMItPq1L26ImwWU90FfomDyzkw49Tbb7+BhoqcPWd6rvmIWBNlZevSfk0n1TG1Hlm9QJb789vjGPKm9lrHqXw+RFSU20UDFZTR6lSf1bUj+v1zVXb+Fx4+KTLrrnq56miB6gbOpLrSSy6ZxJfTr1jlT+xD53Rr9I+p2Ekme2FXvyXvffH53ELKCsv82dU4zdx5QX8rD1ty6rSHw8aF02ztYPlzKjyo0aA+uewVI/ph6QtDGZPEyremLpVz64vJf6bmkNtNQ7qY48JsO/q95j00WS3kmvV6b679p3Us/Q5YqqmwkgFpJBliHlma1P5i1eWKzs06GP100TQra6WuyMT3xRoTRkHvRn2EDbCxto40LQZjAxeX9SHrRyAKbHp6NmWG07Q6uKS2xwVaSXranCx7R7rpo220zzmjXR36i77fp60MpzMo6v7k2ZZKBd016MDRpsA82uB81G9Zlfn2csY2rWnxKSlU5gRXTTFpnPc+dEPXooAW7KO5uyp+dVUp03KT02Dz5Xo6SLsmxMjKGsANrDIOnQNzaZMyeq5Kvp0fMkyUBL5ZPu2WHKl6Q6pCpNlCeKXteoI9FAqb8XYSzR43dS1cs0iNc9pKj7uNxfr1uNMtDqsln3oEsqc5cYtEkKu+kZLgZaW3+me9DKgYvNg3Y8biHrjDFPNQOt3i8B5SWsVP+iDoiSDEPUxIXp0A0IgNmr0JSnSXLUZKCdjMuM6Tj/fPMyYJMByzYoMrWnpCWmVP9jqte6gdYmO0z1XO2/XZasGt/Z0hb055h+YLu/XrYmD1qTZ5WpPsh8v//+6nVyqbw81Hoqz9lW19jqgWqgtbX3tvllo7ru9WcamLrIDaodysPmXUkZn/V3dDXQ6nVd6t9ywsC6nFfrF0xlqj5Pn9ASqG7Mo16rT2rLevP//p85TyiPLP2dfWKyJvVvSf2wXtf0ZdVSbute6qZxjt6PWuWRVq9tdUOvey59OvWOVP7EPqc00Cadt3nu64cac1SfHFDljj5ppoeMcDK+CvMeFlKuybGo/kPVWWTuXCFuvDG6ERsgxLRp0YlKlzKjyk1PP7W5ddLYyabz+8hCva921fdMddx0gY+BNundVFllW5pvez+Xd7LJGd2D1mTzcLmPmkbdM18A1pAMVtmhnEha+UfpMbGy7Uze7JfySu6PsIG2l43dQKsPuNvbo8vk5vyhGLl+1iwh5p9R9f7syVU3oJk2rdz5yM7QFitNTYv87BKg3vQ7VZFxWcapDyJMA9qkzsMlj9WO0rRcgTKKJRlobR44pnIurlwlhMGDdvXCVTHjo4ybZVsOIjfP0GPzjhtjTpfcmEh/T1M+m4z0thm5Wg20tiU2rkZJF2XZ9uKUAmU6pPFWKoi2kBGTJ4tI21A7O1lmcvml7gWjJ1XPJ9MGEFS+U52s3tFS+T1+vNmD1qZc25SmyHvJ2FhafCxXD1qboqfLOUqO2e6v1y1dvlFLQ8n3L9rjZlIDA5tspuR8JC8CGmjV9mKqt7EyNnjp6vVFzzdbDNpY3DOD547axvQNeFxkihDJxn+TXLMd+ru3tyfHnTNNVKlLttXl+WpbtHnQ6m2XikNnMmDZBkWm9mTzzNTrrsljSDUmqgbaNe3FWAxceUivklj7aPfrq2zn9O/0Okr9wHZ/vS7ZQhtRv0nK9ylT3CZFbf2EqR6YPGjnzo3Hgm+bb64zJllkWoUjD1cDrXofV+Oz/o4xzzdCp05qy6qsoQbdpkkkk+ecPqElYNYdqIl2n9VIpjzRV5zYYrJS/5vCykSMbURdU/NJTR+1GkvVXX0MGnq9NuVDMxhoqZAtSZNgSe/ksuJRnRw4/3x3b1VTf6s/35RGmx40ZYrl5XqxtVE1NmrSWNQ2dtXTT6X5m+PsaaVWN+njFXVPDlPICL2vdtX3KBmiX5DGQKvK9iS5LG9JTX77PNelL7f1ty46MyXrdH1UetAmGYCpvkIUqzFoKTluegc1H6XdYdFj8dVIat+dVFf6G/3CQDtlyhQBIHLssMMOXvfY2A20ZMfVe+Hki81Gt2F4RYzCvMqGU7ZD7XgoISCEeekLtbRdFximeLnykEYt3bPNxbhSSx6rHSW1S6tAXLH18aDVd8Q2lXOxKMohFAq9G1QVykZ102DMpHBSgyU9/+RyowljowNW08CU6mB8Z+RqNdDacDVK2jy/Y89SEiDvT3nMyg23VO8M0wCGGki2t4vEtqHXRZMXTJISkJTvrm3KVt+SQlEY6zGRSFObMrW3WBtKSLMeZsEaNzv+aGse2gYrU6YQExumJWxF+0w11UbUVRE2L2eqfwlpoDV5A6j1Vr2n7+Zrsk7oy/F1I5tpgE69u0zjpRdFjbqxtqph658oozo1cUHlhbr5z/XXC3HFFVXvHmmsoAyoetmr+WCLQauXs8nryXZvqn2b2pPNyKY/I8nApRpoL5tMdyZUH2aaqNQx3dJFDke+t/xA/SrJu5gMf2X5jZrv+jJSWZ9UY35arxi9Hpjqlqk81c0wTVmlf6bCHJgMgabQRKq8dzU+m8pWP0w6tZ6vNs9OatCtrqzQD3XHexlLVuoYeuZTeiV13ne1kl61Tfc19eWqccC2UilJ5pjkPyU/VN1VthPVADF1atm5RaavUicM9dqWT7os8NF7bdeSn3sNtEkrCaiySipDKsyFGlNbnRxI6qfUTWj10FlCOHjHimj5GVdSJmS0vhJT1oGTT6bTbbqVra+iPGhjXog1Thi6Hnpf7arvUbJCvyCNgVYlSS4nva9LuAhbfrq8b5I+axr7kwblzqJWOPb7x2wwDmWZpGfox38cYZYhtjbQn+k3Btp99tlHdHR0VI5169Z53WNjMtBSyz/UpRUVhai3haleP+rAsoDoUrFf/rLsPXvjjUrnmTA75SJ0nAYsyoBadq6zZlXT84tflM/J5ZuyczYNFEJ60KqeD3K52SmnVM9RRjGfGLRJngaR71aWQyoUl6+snE/sBC3EOjYi5qdNgdcVT7kkUipAejxcvW5kaaDV35PqFJNiLkeepSSAUrKkh7Jp4OZb7mva47Gk1aWmsu3+aU5V0TV50NryNCnfQ3SyVF7pxuRQBlp9WZ0+AWJ7X5cYUnr+JA2cdA9afWLGNgGkC0+TB2iSB608R72T9HKmvMHn3Ju8uVZS/TAtm541M15vXdIrNws0rSARRXo5vjSyJRloI4OhhdG+VCqturem3uZV+aqHL9HbVZKibMsLeW/KYHH++XGjj2r4MQ0QfAy0ajqTvOxNbVf34NLbq8kDWE//0qVRbzq1/9GNAfKZVKbrntShBsS2fIt8b/iBqQ+zrbwAohvnJf1GGj/Uepwks2tBrwemurVmTbxO6xtHJumglNFHLqVX+wnVABTifXU9UqbJ1xPXlGcmHVqVa2q9tXklylU68mZJhlZKf7EZN2VZmspHX8VFhXGwGVnUiXBT2DKTzLF50OqHaiCzGSliZWmo17Z80mWBi97rsopQ/23ls+ZBS723ruO7lqEtFrmpcPT4omp5urSZRO9YQ17Y0uOCLn/U9OurVCjdQB+7UjFoY0mypNU25tHbkpzo1fWCZvag9UHXTUx1yWUcqt7L1pfbDLRJYwr1WupQDbS67mSbtDLpF0l6Z7FoXxkp68iix+KrkUgnp42AfmOgPeCAA2q6x8ZioLUFK1eNpZTCpnfQrgLJ5MGie9D6BsM2pZUaUCcqQRq1yHeXmSI13p5carB4YTGipKietRElR0kcFQpAV3bU/DYp4dLYoRuvU8V4cZHWxClKiFPxcGXdqIeBNmmgafP8jj3LoFCa2kbSu7gaaF3CYcQyiT7l9J0pLbV2sq6z3KEMtK7yQk1bbNnOInP5WtsokYe6V4le/kYvCcKDVpUBpkGYTeZSm5m5Tlaox7hxyfG0VEztMCkGLZXeSZPMaZIGB2o5vqsHranNu2yeSNWxpNUleh6a+qI5c9wmT+UEkclA6oKUy2kMtK6DNrXtJsk4l7x2Kg+9gBPki032O72f5RzlyUp5cdkGSbp8knVNjTOqHiNHJrftKVP8PUZ90OsBVbdi7UabRE7SQc8/P24wAaobpiYdJ55o3qfA5x0pb1MfvUHPsyR9X69rutFL5oXuQZtkaE16J9PmPTZDOaUf6mEc5P9JE0BJ+WbLp6Tfm46vf90y4WWo19SqrkWL4hN+LvFMqfJSr9V/W/ncSdzUlG+WZ1FlqMYTdiscGmq5vsmDlvSOdXmc5wDDdLmvbqDfK4SB1tZf6ONbKsyZUc8uhjPQVjb4VZ0NHD1ZfaB0q8hRZw9al0lsajWVaqCldCdVBwzlQWtKMyVLXBwY+jOudsmcEEKgSZk6dSquvfZaDBo0CJtssgkOPfRQXHXVVfjIRz5C/uaDDz7ABx98UPn8zjvvYKeddsL69evxoQ99qB7JbghTpwKXXRY/P24ccPnlwLbbAgMGAMUi0NoKoKsLGDAAXZ1FDBjYCqD6XVcXsPmALnRB/UEyvbeM3GfAAKC9HXjjjfj1Q4YY0mW4D7q68OqAj2AXrEJbG9DSUr7u9der91Lvv+22wHbble8/ZEj5XEdH+ejuBg49FJX7qNckQeXx2LHAxImGd+rsQuvA8otMvbK18tsWlPO2FUVcOLkVP/xh77ui+uI/uLx8XmfUKOCRR+Lnp0wBpl4SL1OKKVPK7+NFrGDo8/opmf86+TxQKsXPy3x0qYfyWW1t5c++5ZuUNlOdkWUMaEkj8ojKOupdOjuBgQPprJbPfaOjC6t2ORyHYhEWLAAOPxxYuBDYeWftvR3KyJQOKr0dHcCqVeV8kRifGwhjvsAhrxHNsC60VupKS0v52sMOs6fd1u6/8pXy/1tvXa0jt98O3Hpr/Prx48v3GjIkLo/+8AfgC18A7rgDGDOm+nfOnGp922UXh7qmyXVdFheL5csSZa6Bjg5g6VLg858vf7700nLfAgDHHN2DuQ8WYr+ZMgW45BK3uq+2Q1kubfO78PEj/NvTq6+W80sv50WLgILoQveh5Tajy4mOV7vQscuh6J7fhkOPaEVbG/DWW+V7yjIGtPpiyPM33qi2D7XPouSRpSiNZUbVSVWuU3LNp88zIfWD97A5BqALnZ3AoIHVz2nkifG63rbb0V7Ek8+14o03yu3l9NOBu+4CBg8G9t+/+q6293TKC124ApFE620WMNcDl74qqe1Zy/eS+A+S3s9Ul1asAIYPj9ZPINonv/56VbeSelUs3zJArwddA8x1y6QrqidcdNAZM8x5DVTzRubD738P3HNP/Lo0+lRSX298PwMm3VaIsryj9P007RDFIjreKLcDmR+yPf7iF+V6s9VWwHHHoaKLtLeX24eEqtfnnw+cckr8vK4fSjne3l4uO1uf5or6rm90xOV/kh6p6p9qOwLo33V0AB2r6H5Iv/fkyTCOBwD7+5vkgsxDk24Q+ayMX0yZmlbHl8+X8sdaZq4dh8OlLrdKvMYjPdTlaftlXV4ACWMeS1pNaZgxw6y3Tp4MXHFFwruhCx0DdkZH26voRqt1DKbLK1JW/KAHl/0wqlPKsXOqhk7gVKSO5W67TOqk8+cDRxxhHk+6vFbiMFy2WwAd7WWZraOWia0PleMlvY272lEoWeKiv/Zn3nnnHQwaNCjZLlkXc3FKHnjgAfF///d/4sknnxQPPfSQGDVqlNhhhx3EG2+8Qf7GFLcWDpbqvk5SPM3YLFF7NGgzUF0a3d7u7kGrQs7EWm7h5FFi8aBwJe2spYprzFLTrFHkt0pcpSQPWn2WTN+sBbB70JqWAzXCgzYN0lOLupGLR7NP+erY6oyvF1VSfujLuymP59hzi0V6w6OEBLjM9lLpDdGefDDOPrvktZZhaWRU0iYwpoPyQkvy+qMOapMRSnim9aC15YMtzWp8ap8daam8jm140G4pYwNUOSctIaM8Dqx13SHPkzB5JNiWpab1sqsFVUYVUA1pce+92XrQiiLtuRdU3ujCVUt0YhocXtK17VnL16NiuWw2E9AZKRh6PUjaTMnk/WP83oAtzrj+u5BewzaPKvL9DNjksktsbVvaqH7Wtf/SN2uqNf+ofqwWfVP9rfOKJOL3riTJEr3d3n9/1etYhlMjN2wioJa166EKTOOXUO+t/s5J/ng8xFcnSHWNY3qSwqb5QK3gctVLXAtIetLfeGM1Tj1Qjp9sWiWgywhq7wO97SR54VfSY9qkM6AHrVcZOeal7TLflcSu6dVX7EmdOemG5PsroZr0dPnqYSZZIuuZHm4q7UqUvki/8KDV6ezsxO67744LLrgA559/vvGajdWDVoecFZUeOIbZKcnkycA1PwznQes7Y2ma0aE8KFzJwpvIeSbLcIFxtlF0YeRh5pkrp+d7ekmEf2E370yfx9k8aKlZuPHjgQkTyv/XUr6mOvP668C//lWeQTzttPI51ZtryLbRF3edcaTeRTJlSvmdVK9VWWe2PazsXW6amY15hyleMLY02cqvowN48kngn/8s58Htt5e9SefMAUaODOtZJfNv7dqy52bEs3Tbanvx9aD1kVF6WlSkF7/0LJPYPMNVD1r13scdV/VEkuRyZRVIeiZFympbWniG9qDVy/z668uepVOnRsuio72IbYekz2O9HUiPicsnF3HpFcketHp7u//+cjpl/t1/P/DW61342Omy4rdGy6XXg1b9TrZ5IcwenLIcbHnu4xVx5ZXJHn2ubTUkNhnVgqoHre4J45JGo5xU+kMps3SCenI6etDKS2Oe9w4eS7bVGM6eXx4Fbiszm+dmowntQev6ji5eraHfMZQHLUB7wV02uQuX/jBZN0xqh5THtvSolf2VlJNyBUit7TTJSxjwl4Gme771ehe2Oy4q/wE3D1rvZ6/qUjI52g/Z2q3Nm9bm0UbdU97P1YO21tWINk/C2O/r5EHr/E6O6QnpIWirC1av7RQV0/YsPe2UB63abiLp6UWXHapXfERvcF1ukhKvMqrBg1Yfw8yaBRQK0ZW+Lh60VHr1VbUVL2PAekPqfrKvsHnQ6iR5SS9a0IVDDi+PD2bc0bpRe88C7h60fcpACwBHHXUUhg8fjptvvtnpemdX4n5C0gBVCvR8Txf++fHP441Z9wOFagPedlvgYx8Ddt+l/gbaN94gOsltu7DtLrUZaEOS1Jm7GGinDrgSl2Fq5L4t6MKrcFsm0nubqPA0LM/1DeNgpU4GWjV/Dz+0XA+XLCxiyM6t1o5ekuXyy0QFRlt+6qoEyHdRl5QC0U7ctBSzBV24EFfjh7jU/gylQNRwG9T1tvKzKfqmpVC1kGQUMsmorAy0WUKlw3upMyED1BAJgIPM9ZhA0JfByjyWy4p9BnKxNt1VNfwO2TnZQJs00QEkLJMjbuxSDqEMtLJMANrg4tpWQxKRUWu78Ojpd+BWlGfCVAOtSQ4kpdGUv1ksZ7SSYKA1XRr5yvKStsnEsWPt7aMWA62pj5STQU4Gkjpj1F9f78Iep5uXglN5I5d2+hqR6mGgtU46asZM37ZN6kTbdmHILskG2lrbYVZLV5P6H8BfBtb6rjWHTfNcgq4asqSO6NI/2O4JxMMnJY1fai3jH/zAbGCuxTDmcmkanTaWJsf0hBybUAZNICEZKRQDORGvh4PZdtveyWiqXyLCjblAJjNjA61XGSU81yYLqBA6vjqcc5jAXp0ZgPWGSX2Fabzkis3R4syJdZhsb3L6pYH2gw8+wO67747x48fj0kvjBgkTG5uB1mWACkRnSUyDj5AxaF1nLKnYjRPGdmHM7fZYTfUkKY6WadZINS6oHrSR2cauLsw+LG64BcyxBfXO4Ff/3YPrppnjQAaZmXIw0Lp4Zyah5q8ar/eSKa0Nn2FLVGAID1qdtIqaGtfyrbfKhpKtTz8Bn8cfjTOzNg9aU5rkc2zlpxuTQ3vL6O9MGq63qq8HbZYkeYTqUB601MoI1UsGSPbWpCYQ9DRXYtkZDLSUp4+XPOoytyeqflKeXWr8zIoC62GgdSmHUAZa5/KvswdtBKUPe/2tVryxtmpES2NoMr6nrZyywMFAa61/Jo/2Xkzvl2RcIZ+lDKB88kXe7+abgZkz6ec2Elf9VaaVMtBOndxtlINJ7+jl3ZcSl9UyoSdfXCfva22HWU2a2/qfoHsPeLxrzcZoT2OfSebI73V88psctyV40KZ9ph4f3vp7hzxyNZS7jEcT36mBCqMce8hVTIC2kqcG72PfdLh42ae6T1IM3Ublf8JzbbJgwoQ663C6HuN7w664Lu97G1dHi42VfmGg/e53v4vjjz8eO++8M9atW4cf/vCHeOSRR/DUU09hl112cbrHxmagdRqgwqzku3ouUvgYaF2WpwN+M8T1gurMf/Ur4Lrrqp+p5bk2Q6fLMhEq7757XhdOvl72dK3G39aEg4HWxTsziUj+9gp2n3rYUDJWINTbuxrXfNLlM+hoeKB3F+OdiM4m1+LdmQU1eeEYytS0RB+oesnog1m5AZYeosHFy1XP5yGHRb3/5eqNWN/jk8faOwapc7a2kMbrRDN+UKtWQi+TDfHb1AT0yHd5RrMYaH092m0kGQVcliD65EuSztUMHixG/XVtPCQJuYFnr17rsjmKCS/vvpS4rJaR14Xqn6iJO6f3apZZzF70/sdE6vKq0TsdCONBq5K1nuVroA39vFovTsqfmj2dUyc+LD7hBwBkltZQq10S63UfMtDWKgv6m4HWds9m6EMaTb8w0J500kl49NFH8cYbb2C77bbDYYcdhiuuuAJ777238z02NgOtM4YGk9Zz0bgsLWGA6irQOjpgjdXUTDjPGnmECnB6Ti9pPWuc8fCgjaUtbXn1NcFeRwPtG294tI0MlmZl5S3jjIPxTsqxDgyOGA/HjWsOL7KaBl8eCqyqs6V6VkKaW9CFS5Ds/e8NYYTXqcXo6/wdgS2eu4pt2Wktg8dGG2g73mhNlEP9xUDr69FeC6H7+YbL67Qk6KoqaY3XMm9scQLrmUehjXLUxF3aicBGkuneA/V81wYslzfdlxq3kSsAAz3Pqa/z8KDVSZroStWWmsCD1iX8AIDMPWj1Z6X1oNXpix60aQk6eaCnFUhtoDXukVNLupqsD2k0/cJAGwI20BKYvK9Sei76LksLkdY+ga8httb3zCqfknqRLMunr5V9vTty18F6X8tHF1yMd71ybCqmGI2Husd+ozxodVIPnBO8inXDg/OzktLcVfWgTdokwoss6q3pnjVoyrrxg1y1YrhVLYPHTJR7VxyXy4T2EM8UBwOt0++zTm9/lOU2knRVhbTG64avBtEIbpTrcy76NJlONDShgTYrksZt5ArAwM+ztrEAeRS0vjRZW7DS1+tyzBulUcoOMsvL4P1OR4dhJ2nPmC/d3Zh66ANhnS36UrupA2yg7YUNtARJDaaGpT4+A9QgaW1W9HRTo1VyvZ5nhmWVT0m9CBtoq9S5I3f2GOpr+eiC7Z20ttaBwei468FywC5FKDW995gNBwV26q/2wGXXbRn7aTDDQ9ZWwnoZaGvRlGtIYy2Dx4YalRwNtME9xLOEDbTNic/7psybPutd7Eo/MtBmSj3etaEza/FkSGLjNmoFYKDnSYyv3SR5FKMvtYX+ZKD1iucWkIzrYfB+pxaFS/ltBwajA70JGD+h4sWy0dlwMoINtL2wgVbDVeA0U4NqprT4oKebEp6jRgGPPBI/79v5ZO1Bq8MetHHquawI7EFLvlOzuURlgYMC23H+teg45bux88HGOfUOkBcCmwetjktGNahtNcSoROkP+lbgIdJYz3w1eZ4IoeyCZ3l+vY0J/VGW26iDgbbfwwZaN+rxrs2umzSDcbRZ86gvtYW+OtlgumeazRJC0Kz10ISMgSF3kVOXyxljYBh+H1qhbAZZ0oSwgbYXNtBquAqcZuiI+nrjpjxodaQHrU6zeNA24rl9tewb5fVFPa+v5qMLLh608rrDDgMWLgR23rnvv7fE5EGrk3U51ytAXsh6G6qN9ue2RUHpD5Mnl3dXCiH36p2vHR3l9zLtRgokv1O9BnEbY30D2EBbC7XUmY2pvtXzXZvdXbsZjFLNmkd9Sb701cmGZqh/kmathyaaKd8kzZimJoANtL2wgVbDVeA0Q0fU1xt3sxnr+tJz+2rZN1uZ99V8dGFjNk4DzSGjsyKLehu6PvTntkVBrYu17QjqS73zlXqe3EnQ1YNWJ7Sc2RjrG+Am5/q7rE9LoCWv3r/ta2xM75pEXzJK1Zu+oHP19ckGrn/paMZ8a8Y0NQFsoO2FDbQpaYaOqK837mYz1vWl5/bVsm+2Mu+r+ejCxmycBppDRmdFFvU2+Nbo/bhtuZKlIV0nSw/arI3OIdhY65uLnOvvsj4ttdSZjam+bUzvyqSnL+hcLAsZpqlhA20vbKBNSV/oiJqdZjPW9bfnNiP1youN2WPI9d37+6CL250f/b0+NIL+mKc8wG0ufDxodfpyPWQYprnoCzoXy0KGaWpc7ZItdUwTwzD9CdVQBgBLl248RkKdeufFjBlRI4Lc3GZjMCK4vnt/rYfc7tLB+ROe/pinEyYAJ5wQP9/f3rM/0R/rIcMwzUFf0rmaMU0Mw3jDHrSMmb4wU9isNMq7sd5lxp5GVeqdFxvzLPnG/O4AtzuGYfo/G/MqEYZhmgfWuRiGCQSHOOiFDbSesFJcO43qzOttoN3YDWUqnBdMveC6xjBMf4eNIgzDNAOsczEMEwg20PbCBlpPWCmunUZtcsJGdYZhGIZh+jpsFGEYhmEYph/BBtpe2EDrCSvFfQ82qjMMwzAMwzAMwzAMwzQdvEkYkw42xPY9eFMThmEYhmEYhmEYhmGYPgsbaBmmr8NGdYZhGIZhGIZhGIZhmD5LvtEJYBiGYRiGYRiGYRiGYRiG2VhhAy3DMAzDMAzDMAzDMAzDMEyDYAMtwzAMwzAMwzAMwzAMwzBMg2ADLcMwDMMwDMMwDMMwDMMwTINgAy3DMAzDMAzDMAzDMAzDMEyDYAMtwzAMwzAMwzAMwzAMwzBMg2ADLcMwDMMwDMMwDMMwDMMwTINgAy3DMAzDMAzDMAzDMAzDMEyDYAMtwzAMwzAMwzAMwzAMwzBMg2ADLcMwDMMwDMMwDMMwDMMwTINgAy3DMAzDMAzDMAzDMAzDMEyDYAMtwzAMwzAMwzAMwzAMwzBMg2ADLcMwDMMwDMMwDMMwDMMwTINgAy3DMAzDMAzDMAzDMAzDMEyDYAMtwzAMwzAMwzAMwzAMwzBMg2ADLcMwDMMwDMMwDMMwDMMwTINgAy3DMAzDMAzDMAzDMAzDMEyDaGl0ArJGCAEAeOeddxqcEoZhGIZhGIZhGIZhGIZhNhakPVLaJyn6vYH23XffBQDstNNODU4JwzAMwzAMwzAMwzAMwzAbG++++y4GDRpEfp8TSSbcPk6pVMKaNWuw5ZZbIpfLNTo5mfPOO+9gp512wqpVq/ChD32o0clhGMYDbr8M0zfhtsswfRduvwzTd+H2yzB9l42p/Qoh8O6772LHHXdEPk9Hmu33HrT5fB7Dhg1rdDLqzoc+9KF+X8kZpr/C7Zdh+ibcdhmm78Ltl2H6Ltx+GabvsrG0X5vnrIQ3CWMYhmEYhmEYhmEYhmEYhmkQbKBlGIZhGIZhGIZhGIZhGIZpEGyg7WdssskmmDJlCjbZZJNGJ4VhGE+4/TJM34TbLsP0Xbj9Mkzfhdsvw/RduP3G6febhDEMwzAMwzAMwzAMwzAMwzQr7EHLMAzDMAzDMAzDMAzDMAzTINhAyzAMwzAMwzAMwzAMwzAM0yDYQMswDMMwDMMwDMMwDMMwDNMg2EDLMAzDMAzDMAzDMAzDMAzTINhA24+YPn06dtttN2y66aY46KCD8Le//a3RSWKYjZqrr74ahxxyCLbccktsv/32OPHEE/HCCy9ErhFCYOrUqdhxxx2x2WabYfTo0XjmmWci13zwwQc499xzse2222LgwIE44YQTsHr16nq+CsNs9Fx99dXI5XKYNGlS5Ry3X4ZpXl577TV8/etfx4c//GFsvvnmOPDAA7F48eLK99x+GaY56e7uxuTJk7Hbbrths802w0c+8hFcfvnlKJVKlWu4/TJMc/Doo4/i+OOPx4477ohcLod777038n2otvrWW2/h1FNPxaBBgzBo0CCceuqpePvttzN+u/rDBtp+wv/8z/9g0qRJuOSSS7B06VJ86lOfwuc+9zm8+uqrjU4aw2y0PPLIIzj77LOxcOFCPPTQQ+ju7sbRRx+Nzs7OyjU//vGPcd111+Gmm27CE088gcGDB+Ooo47Cu+++W7lm0qRJuOeee/Db3/4W8+fPx4YNG3Dcccehp6enEa/FMBsdTzzxBG699Vbsv//+kfPcfhmmOXnrrbdw+OGHo7W1FX/84x/x7LPP4qc//Sm22mqryjXcfhmmOfnRj36EW265BTfddBOee+45/PjHP8a1116LG2+8sXINt1+GaQ46OztxwAEH4KabbjJ+H6qtfu1rX8OyZcswd+5czJ07F8uWLcOpp56a+fvVHcH0Cz7+8Y+Lb37zm5Fze+21l7jwwgsblCKGYXTWrVsnAIhHHnlECCFEqVQSgwcPFtdcc03lmn//+99i0KBB4pZbbhFCCPH222+L1tZW8dvf/rZyzWuvvSby+byYO3dufV+AYTZC3n33XbHHHnuIhx56SIwaNUqcd955QghuvwzTzHz/+98XRxxxBPk9t1+GaV4+//nPizFjxkTOfelLXxJf//rXhRDcfhmmWQEg7rnnnsrnUG312WefFQDEwoULK9c8/vjjAoB4/vnnM36r+sIetP2AYrGIxYsX4+ijj46cP/roo/HYY481KFUMw+isX78eALDNNtsAAF5++WWsXbs20nY32WQTjBo1qtJ2Fy9ejK6ursg1O+64I/bdd19u3wxTB84++2x8/vOfx5FHHhk5z+2XYZqX2bNn4+CDD8ZXvvIVbL/99hgxYgRuu+22yvfcfhmmeTniiCPw5z//GcuXLwcA/OMf/8D8+fNx7LHHAuD2yzB9hVBt9fHHH8egQYNw6KGHVq457LDDMGjQoH7XnlsanQCmdt544w309PRghx12iJzfYYcdsHbt2galimEYFSEEzj//fBxxxBHYd999AaDSPk1tt729vXLNgAEDsPXWW8eu4fbNMNny29/+FkuWLMETTzwR+47bL8M0LytXrsTNN9+M888/HxdffDEWLVqEb33rW9hkk03wjW98g9svwzQx3//+97F+/XrstddeKBQK6OnpwZVXXomTTz4ZAPe/DNNXCNVW165di+233z52/+23377ftWc20PYjcrlc5LMQInaOYZjGcM455+DJJ5/E/PnzY9+labvcvhkmW1atWoXzzjsPDz74IDbddFPyOm6/DNN8lEolHHzwwbjqqqsAACNGjMAzzzyDm2++Gd/4xjcq13H7ZZjm43/+53/wy1/+Er/+9a+xzz77YNmyZZg0aRJ23HFHnHbaaZXruP0yTN8gRFs1Xd8f2zOHOOgHbLvttigUCrHZg3Xr1sVmKxiGqT/nnnsuZs+ejXnz5mHYsGGV84MHDwYAa9sdPHgwisUi3nrrLfIahmHCs3jxYqxbtw4HHXQQWlpa0NLSgkceeQQ33HADWlpaKu2P2y/DNB9DhgzB3nvvHTn3sY99rLJ5Lve/DNO8fO9738OFF16Ik046Cfvttx9OPfVUfPvb38bVV18NgNsvw/QVQrXVwYMH45///Gfs/q+//nq/a89soO0HDBgwAAcddBAeeuihyPmHHnoIn/zkJxuUKoZhhBA455xzcPfdd+Mvf/kLdtttt8j3u+22GwYPHhxpu8ViEY888kil7R500EFobW2NXNPR0YGnn36a2zfDZMhnPvMZPPXUU1i2bFnlOPjgg3HKKadg2bJl+MhHPsLtl2GalMMPPxwvvPBC5Nzy5cuxyy67AOD+l2Gamffeew/5fNRMUSgUUCqVAHD7ZZi+Qqi2+olPfALr16/HokWLKte0tbVh/fr1/a89N2JnMiY8v/3tb0Vra6u4/fbbxbPPPismTZokBg4cKF555ZVGJ41hNlrOOussMWjQIPHXv/5VdHR0VI733nuvcs0111wjBg0aJO6++27x1FNPiZNPPlkMGTJEvPPOO5VrvvnNb4phw4aJhx9+WCxZskR8+tOfFgcccIDo7u5uxGsxzEbLqFGjxHnnnVf5zO2XYZqTRYsWiZaWFnHllVeKF198UfzqV78Sm2++ufjlL39ZuYbbL8M0J6eddpoYOnSomDNnjnj55ZfF3XffLbbddltxwQUXVK7h9sswzcG7774rli5dKpYuXSoAiOuuu04sXbpUtLe3CyHCtdVjjjlG7L///uLxxx8Xjz/+uNhvv/3EcccdV/f3zRo20PYjfv7zn4tddtlFDBgwQIwcOVI88sgjjU4Sw2zUADAed955Z+WaUqkkpkyZIgYPHiw22WQT8R//8R/iqaeeitzn/fffF+ecc47YZpttxGabbSaOO+448eqrr9b5bRiG0Q203H4Zpnm57777xL777is22WQTsddee4lbb7018j23X4ZpTt555x1x3nnniZ133llsuumm4iMf+Yi45JJLxAcffFC5htsvwzQH8+bNM453TzvtNCFEuLb6r3/9S5xyyiliyy23FFtuuaU45ZRTxFtvvVWnt6wfOSGEaIzvLsMwDMMwDMMwDMMwDMMwzMYNx6BlGIZhGIZhGIZhGIZhGIZpEGygZRiGYRiGYRiGYRiGYRiGaRBsoGUYhmEYhmEYhmEYhmEYhmkQbKBlGIZhGIZhGIZhGIZhGIZpEGygZRiGYRiGYRiGYRiGYRiGaRBsoGUYhmEYhmEYhmEYhmEYhmkQbKBlGIZhGIZhGIZhGIZhGIZpEGygZRiGYRiGYRiGYRiGYRiGaRBsoGUYhmEYhmH6JLvuuiumTZtW+ZzL5XDvvfdm+sy77roLW221VabPYBiGYRiGYTYu2EDLMAzDMAzD9As6Ojrwuc99Ltj9dAMwAPy///f/sHz58mDPYBiGYRiGYZiWRieAYRiGYRiG2XgoFosYMGBAJvcePHhwJvdV2WyzzbDZZptl/hyGYRiGYRhm44E9aBmGYRiGYZjMGD16NM455xycf/752HbbbXHUUUcBAJ599lkce+yx2GKLLbDDDjvg1FNPxRtvvBH73TnnnIOtttoKH/7whzF58mQIIchn6SEOVq9ejZNOOgnbbLMNBg4ciIMPPhhtbW0AgJdeeglf+MIXsMMOO2CLLbbAIYccgocffjjy/Pb2dnz7299GLpdDLpcDYA5xcPPNN2P33XfHgAEDsOeee+K///u/Y+maOXMmvvjFL2LzzTfHHnvsgdmzZ1vzbdddd8VVV12FMWPGYMstt8TOO++MW2+9NXLNU089hU9/+tPYbLPN8OEPfxjjx4/Hhg0brPdlGIZhGIZhmg820DIMwzAMwzCZMmvWLLS0tGDBggWYMWMGOjo6MGrUKBx44IH4+9//jrlz5+Kf//wnvvrVrxp/19bWhhtuuAE/+9nPMHPmTKdnbtiwAaNGjcKaNWswe/Zs/OMf/8AFF1yAUqlU+f7YY4/Fww8/jKVLl+Kzn/0sjj/+eLz66qsAgLvvvhvDhg3D5Zdfjo6ODnR0dBifc8899+C8887Dd77zHTz99NOYMGECzjjjDMybNy9y3WWXXYavfvWrePLJJ3HsscfilFNOwZtvvml9h5/+9Kc4+OCDsXTpUkycOBFnnXUWnn/+eQDAe++9h2OOOQZbb701nnjiCfzud7/Dww8/jHPOOccpfxiGYRiGYZjmISdsbggMwzAMwzAMUwOjR4/G+vXrsXTp0sq5Sy+9FG1tbfjTn/5UObd69WrstNNOeOGFF/DRj34Uo0ePxrp16/DMM89UvFcvvPBCzJ49G88++yyAspfppEmTMGnSJABlT9V77rkHJ554Im699VZ897vfxSuvvIJtttnGKa377LMPzjrrrIqRU78/UPagnTRpEt5++20AwOGHH4599tkn4t361a9+FZ2dnbj//vsr6Zo8eTKuuOIKAEBnZye23HJLPPDAAzjmmGOMadl1113xqU99quKNK4TA4MGDcdlll+Gb3/wmbrvtNnz/+9/HqlWrMHDgQADAAw88gOOPPx5r1qzBDjvs4PTODMMwDMMwTONhD1qGYRiGYRgmUw4++ODI58WLF2PevHnYYostKsdee+0FoBx6QHLYYYdVjLMA8IlPfAIvvvgienp6Ep+5bNkyjBgxgjTOdnZ24oILLsDee++NrbbaCltssQWef/75igetK8899xwOP/zwyLnDDz8czz33XOTc/vvvX/l/4MCB2HLLLbFu3TrrvdXf5HI5DB48uPKb5557DgcccEDFOCufWyqV8MILL3i9A8MwDMMwDNNYeJMwhmEYhmEYJlNUIyIAlEolHH/88fjRj34Uu3bIkCFBnpm0kdf3vvc9/OlPf8JPfvITDB8+HJttthm+/OUvo1gsej9LNSIDZW9X/Vxra2vsNzLcAoXtN6ZnUOlhGIZhGIZhmhv2oGUYhmEYhmHqysiRI/HMM89g1113xfDhwyOHasxduHBh5HcLFy7EHnvsgUKhkPiM/fffH8uWLSPjvP7tb3/D6aefji9+8YvYb7/9MHjwYLzyyiuRawYMGJDorfuxj30M8+fPj5x77LHH8LGPfSwxjbWw9957Y9myZejs7KycW7BgAfL5PD760Y9m+myGYRiGYRgmLGygZRiGYRiGYerK2WefjTfffBMnn3wyFi1ahJUrV+LBBx/EmDFjIgbRVatW4fzzz8cLL7yA3/zmN7jxxhtx3nnnOT3j5JNPxuDBg3HiiSdiwYIFWLlyJX7/+9/j8ccfBwAMHz4cd999N5YtW4Z//OMf+NrXvhbzaN11113x6KOP4rXXXsMbb7xhfM73vvc93HXXXbjlllvw4osv4rrrrsPdd9+N7373uylzx41TTjkFm266KU477TQ8/fTTmDdvHs4991yceuqplfizF110Eb7xjW9kmg6GYRiGYRimdthAyzAMwzAMw9SVHXfcEQsWLEBPTw8++9nPYt9998V5552HQYMGIZ+vqqff+MY38P777+PjH/84zj77bJx77rkYP3680zMGDBiABx98ENtvvz2OPfZY7Lfffrjmmmsq3rc/+9nPsPXWW+OTn/wkjj/+eHz2s5/FyJEjI/e4/PLL8corr2D33XfHdtttZ3zOiSeeiOuvvx7XXnst9tlnH8yYMQN33nknRo8enS5zHNl8883xpz/9CW+++SYOOeQQfPnLX8ZnPvMZ3HTTTZVrOjo6vGPqMgzDMAzDMPUnJ4QQjU4EwzAMwzAMw6iMHj0aBx54IKZNm9bopDAMwzAMwzBMprAHLcMwDMMwDMMwDMMwDMMwTINgAy3DMAzDMAzDMAzDMAzDMEyD4BAHDMMwDMMwDMMwDMMwDMMwDYI9aBmGYRiGYRiGYRiGYRiGYRoEG2gZhmEYhmEYhmEYhmEYhmEaBBtoGYZhGIZhGIZhGIZhGIZhGgQbaBmGYRiGYRiGYRiGYRiGYRoEG2gZhmEYhmEYhmEYhmEYhmEaBBtoGYZhGIZhGIZhGIZhGIZhGgQbaBmGYRiGYRiGYRiGYRiGYRoEG2gZhmEYhmEYhmEYhmEYhmEaxP8HvXwkAtG+L2YAAAAASUVORK5CYII=", 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", 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" ] @@ -265,11 +263,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/813324598.py:13: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/813324598.py:13: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/813324598.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/813324598.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/813324598.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/813324598.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" ] }, @@ -278,12 +276,12 @@ "output_type": "stream", "text": [ "[0.01 0.06 0.11 0.16 0.21 0.26 0.31 0.36 0.41 0.46 0.51 0.56 0.61 0.66\n", - " 0.71 0.76 0.81 0.86 0.91 0.96] [0.924, 0.942, 0.952, 0.946, 0.946, 0.955, 0.949, 0.953, 0.952, 0.955, 0.949, 0.945, 0.935, 0.944, 0.949, 0.956, 0.949, 0.949, 0.949, 0.954]\n" + " 0.71 0.76 0.81 0.86 0.91 0.96] [0.936, 0.961, 0.946, 0.939, 0.949, 0.954, 0.949, 0.959, 0.943, 0.946, 0.947, 0.947, 0.958, 0.955, 0.96, 0.976, 0.957, 0.956, 0.95, 0.95]\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -343,11 +341,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3508961853.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3508961853.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3508961853.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3508961853.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3508961853.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3508961853.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" ] }, @@ -355,12 +353,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "[-0.9 0.1 1.1 2.1 3.1 4.1 5.1 6.1 7.1 8.1] [0.921, 0.945, 0.949, 0.953, 0.95, 0.941, 0.955, 0.946, 0.949, 0.951]\n" + "[-0.9 0.1 1.1 2.1 3.1 4.1 5.1 6.1 7.1 8.1] [0.922, 0.95, 0.957, 0.95, 0.95, 0.944, 0.962, 0.947, 0.945, 0.952]\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -414,11 +412,11 @@ "name": "stderr", "output_type": "stream", "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3515000061.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3515000061.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3515000061.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3515000061.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_11404/3515000061.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3515000061.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" ] }, @@ -426,12 +424,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "[0.948, 0.956, 0.938, 0.944, 0.946, 0.946, 0.95, 0.956, 0.957, 0.954, 0.94, 0.949, 0.956, 0.966, 0.955, 0.952, 0.943, 0.952, 0.95, 0.953, 0.962]\n" + "[0.945, 0.936, 0.937, 0.951, 0.945, 0.953, 0.958, 0.95, 0.94, 0.944, 0.951, 0.941, 0.951, 0.946, 0.958, 0.95, 0.949, 0.949, 0.956, 0.951, 0.944]\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -470,41 +468,6 @@ "plt.show()" ] }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "### Verifying scale invariance\n", - "what does scale invariance mean?" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [], - "source": [ - "# const = 3\n", - "# y1_incid = y1_incid\n", - "# y2_incid = y2_incid\n", - "\n", - "# # TRUE_DIFF = (Y2_PREV / Y1_PREV) - 1\n", - "\n", - "# coverages, mu_txs, ci_uppers, ci_lowers = np.zeros(NREP), np.zeros(NREP), np.zeros(NREP), np.zeros(NREP)\n", - "\n", - "# for i in range(NREP):\n", - "# mu_txs[i], sigma_hat = transform_percentage_change_counts1(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - "# ci_uppers[i] = mu_txs[i] + Q * sigma_hat / np.sqrt(Y1_POP)\n", - "# ci_lowers[i] = mu_txs[i] - Q * sigma_hat / np.sqrt(Y1_POP)\n", - "# if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", - "# coverages[i] = 1\n", - "\n", - "# coverage_pct = (coverages == 1).sum() / NREP\n", - "# print(\"CI coverage rate: \", coverage_pct)\n", - "\n", - "# plot_simulation(coverages, mu_txs, ci_lowers, ci_uppers, TRUE_DIFF, \"percent change transform\")" - ] - }, { "cell_type": "markdown", "metadata": {}, @@ -514,23 +477,12 @@ }, { "cell_type": "code", - "execution_count": 15, + "execution_count": 9, "metadata": {}, "outputs": [ - { - "ename": "TypeError", - "evalue": "can only concatenate str (not \"float\") to str", - "output_type": "error", - "traceback": [ - "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", - "\u001b[0;31mTypeError\u001b[0m Traceback (most recent call last)", - "Cell \u001b[0;32mIn[15], line 8\u001b[0m\n\u001b[1;32m 6\u001b[0m plt\u001b[38;5;241m.\u001b[39mxlabel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mdelta_hat - delta\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 7\u001b[0m plt\u001b[38;5;241m.\u001b[39mylabel(\u001b[38;5;124m\"\u001b[39m\u001b[38;5;124mcount\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[0;32m----> 8\u001b[0m plt\u001b[38;5;241m.\u001b[39mtitle(\u001b[38;5;124;43m\"\u001b[39;49m\u001b[38;5;124;43mhistogram of centered delta_hat statistic, prevalences: (\u001b[39;49m\u001b[38;5;124;43m\"\u001b[39;49m\u001b[43m \u001b[49m\u001b[38;5;241;43m+\u001b[39;49m\u001b[43m \u001b[49m\u001b[43mY1_PREV\u001b[49m \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m, \u001b[39m\u001b[38;5;124m\"\u001b[39m \u001b[38;5;241m+\u001b[39m Y2_PREV \u001b[38;5;241m+\u001b[39m \u001b[38;5;124m\"\u001b[39m\u001b[38;5;124m)\u001b[39m\u001b[38;5;124m\"\u001b[39m)\n\u001b[1;32m 9\u001b[0m plt\u001b[38;5;241m.\u001b[39mshow()\n", - "\u001b[0;31mTypeError\u001b[0m: can only concatenate str (not \"float\") to str" - ] - }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -550,38 +502,6 @@ "plt.title(\"histogram of centered delta_hat statistic, prevalences: (\" + str(Y1_PREV) + \", \" + str(Y2_PREV) + \")\")\n", "plt.show()" ] - }, - { - "cell_type": "code", - "execution_count": 11, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "0.00990990990990991 0.009909909909909911\n", - "1000.0000000001432 1000\n" - ] - } - ], - "source": [ - "x_bar = 0.000693\n", - "s = 2.88e-7\n", - "temp = np.zeros(Y1_POP)\n", - "y1_rep1 = 10\n", - "temp[0:y1_rep1] = 1\n", - "tempvar = np.var(temp, ddof=1)\n", - "c_x = y1_rep1\n", - "n_x = Y1_POP\n", - "mu_x = c_x / n_x\n", - "sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1)\n", - "print(tempvar, sigma2_x)\n", - "\n", - "s = np.sqrt(0.00990990990990991)\n", - "x_bar = y1_rep1 / Y1_POP\n", - "print(s**2 / (s**2 - x_bar * (1 - x_bar) * ((1 - x_bar) + x_bar)), Y1_POP)" - ] } ], "metadata": { diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index f831114..0ef808b 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -15,6 +15,7 @@ import numpy as np import numpy.typing as npt +from msca.c2fun import c2fun_dict class FirstOrder: @@ -22,19 +23,13 @@ class FirstOrder: Contains 4 most common 1st order delta method transformation functions """ - def __init__( - self, transform: str, mu: npt.ArrayLike, sigma: npt.ArrayLike - ) -> None: + def __init__(self, transform: str) -> None: """Initializes an object to perform 1st order delta method transformations Parameters ---------- transform : str Function of choice - mu : npt.ArrayLike - Summary statistics - sigma : npt.ArrayLike - Standard errors Raises ------ @@ -42,25 +37,19 @@ def __init__( Is thrown function of choice not implemented """ self.transform = transform - self.mu = mu - self.sigma = sigma - match transform: + + def __call__( + self, mu: npt.ArrayLike, sigma: npt.ArrayLike + ) -> Tuple[np.ndarray, np.ndarray]: + match self.transform: case "log": - self.mu_trans, self.sigma_trans = self.log_trans( - self.mu, self.sigma - ) + return self.log_trans(mu, sigma) case "logit": - self.mu_trans, self.sigma_trans = self.logit_trans( - self.mu, self.sigma - ) + return self.logit_trans(mu, sigma) case "exp": - self.mu_trans, self.sigma_trans = self.exp_trans( - self.mu, self.sigma - ) + return self.exp_trans(mu, sigma) case "expit": - self.mu_trans, self.sigma_trans = self.expit_trans( - self.mu, self.sigma - ) + return self.expit_trans(mu, sigma) case _: raise ValueError(f"Invalid transform '{self.transform}'.") @@ -81,7 +70,9 @@ def log_trans( Tuple[np.ndarray, np.ndarray] Transformed mean and standard error """ - return np.log(mu), sigma / mu + log = c2fun_dict["log"] + # log(mu), sigma / mu + return log(mu), sigma * log(mu, order=1) def logit_trans( self, mu: npt.ArrayLike, sigma: npt.ArrayLike @@ -100,7 +91,9 @@ def logit_trans( Tuple[np.ndarray, np.ndarray] Transformed mean and standard error """ - return np.log(mu / (1.0 - mu)), sigma / (mu * (1.0 - mu)) + logit = c2fun_dict["logit"] + # log(mu / (1 - mu)), sigma / (mu * (1 - mu)) + return logit(mu), sigma * logit(mu, order=1) def exp_trans( self, mu: npt.ArrayLike, sigma: npt.ArrayLike @@ -119,7 +112,9 @@ def exp_trans( Tuple[np.ndarray, np.ndarray] Transformed mean and standard error """ - return np.exp(mu), sigma * np.exp(mu) + exp = c2fun_dict["exp"] + # exp(mu), sigma * exp(mu) + return exp(mu), sigma * exp(mu, order=1) def expit_trans( self, mu: npt.ArrayLike, sigma: npt.ArrayLike @@ -138,29 +133,9 @@ def expit_trans( Tuple[np.ndarray, np.ndarray] Transformed mean and standard error """ - return 1.0 / (1.0 + np.exp(-mu)), sigma * np.exp(-mu) / ( - 1.0 + np.exp(-mu) - ) ** 2 - - def get_mu_trans(self) -> np.ndarray: - """Getter for transformed mean - - Returns - ------- - np.ndarray - Transformed mean - """ - return self.mu_trans - - def get_sigma_trans(self) -> np.ndarray: - """Getter for transformed standard error - - Returns - ------- - np.ndarray - Transformed standard error - """ - return self.sigma_trans + expit = c2fun_dict["expit"] + # 1 / (1 + exp(-mu)), sigma * exp(x) / (1 + exp(x))^2 + return expit(mu), sigma * expit(mu, order=1) METHOD_LIST = ["delta"] @@ -239,8 +214,8 @@ def delta_method( """ mu, sigma = np.array(mu), np.array(sigma) _check_input("delta", transform, mu, sigma) - transformer = FirstOrder(transform, mu, sigma) - return transformer.get_mu_trans(), transformer.get_sigma_trans() + transformer = FirstOrder(transform) + return transformer(mu, sigma) def transform_percentage_change_experiment( @@ -269,17 +244,12 @@ def transform_percentage_change_experiment( """ if len(x_vec) != len(y_vec): raise ValueError("x_vec must be the same length as y_vec") - mu_x = np.mean(x_vec) - mu_y = np.mean(y_vec) - n = len(x_vec) + + mu_x, mu_y = np.mean(x_vec), np.mean(y_vec) cov = np.cov(x_vec, y_vec) - sigma2_x = cov[0, 0] - sigma2_y = cov[1, 1] - sigma_xy = cov[0, 1] + sigma2_x, sigma2_y, sigma_xy = cov[0, 0], cov[1, 1], cov[0, 1] delta_hat = (mu_y - mu_x) / mu_x - bias_corr = (mu_y * sigma2_x) / ((n * mu_x) ** 2) - p_hat = delta_hat + bias_corr sigma_trans = ( (sigma2_y / mu_x**2) @@ -287,10 +257,11 @@ def transform_percentage_change_experiment( + (mu_y**2 * sigma2_x / (mu_x**4)) ) - return p_hat, np.sqrt(sigma_trans) + return delta_hat, np.sqrt(sigma_trans) def handle_input_pct(c_x, n_x, c_y, n_y): + """helper function to convert to numpy arrays""" return np.array([c_x]), np.array([n_x]), np.array([c_y]), np.array([n_y]) @@ -299,7 +270,7 @@ def transform_percentage_change( n_x: npt.ArrayLike, c_y: npt.ArrayLike, n_y: npt.ArrayLike, -) -> float: +) -> Tuple[np.ndarray, np.ndarray]: """percentage change variance transformation for incidence data Parameters From 0467f8088659f2db03ee6114256cb497cb560828 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Tue, 9 Jul 2024 16:30:05 -0700 Subject: [PATCH 26/32] add msca to list of required dependencies --- pyproject.toml | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/pyproject.toml b/pyproject.toml index bf698e5..ce54cee 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -17,7 +17,7 @@ classifiers = [ "License :: OSI Approved :: BSD License", "Natural Language :: English", ] -dependencies = ["typing", "numpy", "pandas"] +dependencies = ["typing", "numpy", "pandas", "msca"] [project.optional-dependencies] test = ["pytest", "pytest-cov"] From 611c494605082ef7ec11f5907aa0469be6b2e418 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Mon, 15 Jul 2024 17:02:08 -0700 Subject: [PATCH 27/32] reorganize into univariate and bivariate functions, as well as adding documentation for univariate transformations --- docs/user_guide/simple_transformations.rst | 50 ++- simulations.ipynb | 126 +++----- src/distrx/transforms.py | 342 ++++++++++++--------- 3 files changed, 280 insertions(+), 238 deletions(-) diff --git a/docs/user_guide/simple_transformations.rst b/docs/user_guide/simple_transformations.rst index 588aedf..9d755ca 100644 --- a/docs/user_guide/simple_transformations.rst +++ b/docs/user_guide/simple_transformations.rst @@ -1,11 +1,53 @@ -Simple Transformations -===== +========================== +Univariate Transformations +========================== -There are currently 4 simple transformations implemented in distrx: +There are currently 4 univariate transformations implemented in distrx: * log * logit * exp * expit These transformations are implemented using the first order delta method, which works in these -cases as all of the transformations listed are continuous and differentiable. \ No newline at end of file +cases as all of the transformations listed are continuous and differentiable. To briefly summarize, +the delta method transforms the variance by multiplying the original standard error by the first +order Taylor expansion of the transformation function. + +Example: Log Transform +---------------------- + +Assume that we have some means and standard errors (SEs) of systolic blood pressure (SBP) from +several different samples. The data may look something like the following, + +.. csv-table:: + :header: mean, se, n + :widths: 10, 10, 10 + :align: center + + 122, 10, 106 + 140, 14, 235 + 113, 8, 462 + 124, 15, 226 + 134, 7, 509 + +and our goal is to obtain the appropriate SEs for the data after applying the log transform. + +The first step is to import the required function from the distrx package. + +.. code-block:: python + + from distrx import transform_univariate + +Different transformation functions can be chosen through specifying a string parameter of which +transform you would like to apply to your data. In this case, it is the following. + +.. code-block:: python + + mu_tx, sigma_tx = transform_univariate(mu=df["means"], + sigma=df["se"], + n=df["n"], + transform="log") + +``mu_tx`` and ``sigma_tx`` are simply the means with the transformation function applied and their +corresponding standard errors, respectively. ``sigma_tx`` has already been scaled by :math:`\sqrt{n}` +so the we **should not** scale it by square root of the sample size to obtain a confidence interval. \ No newline at end of file diff --git a/simulations.ipynb b/simulations.ipynb index 34df414..fd81805 100644 --- a/simulations.ipynb +++ b/simulations.ipynb @@ -12,14 +12,30 @@ "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n", "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n" ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/Users/maxbi/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:61: SyntaxWarning: invalid escape sequence '\\l'\n", + " \"\"\"Performs delta method on data under log transform\n", + "/Users/maxbi/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:85: SyntaxWarning: invalid escape sequence '\\l'\n", + " \"\"\"Performs delta method on data under logit transform\n", + "/Users/maxbi/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:109: SyntaxWarning: invalid escape sequence '\\e'\n", + " \"\"\"Performs delta method on data under exponential transform\n", + "/Users/maxbi/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:133: SyntaxWarning: invalid escape sequence '\\e'\n", + " \"\"\"Performs delta method on data under expit transform\n", + "/Users/maxbi/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:191: SyntaxWarning: invalid escape sequence '\\s'\n", + " \"\"\"percentage change variance transformation for incidence data\n" + ] } ], "source": [ "import numpy as np\n", "import matplotlib.pyplot as plt\n", "from distrx.transforms import (\n", - " transform_data,\n", - " transform_percentage_change\n", + " transform_univariate,\n", + " transform_bivariate\n", ")\n", "NREP = 1000\n", "Q = 1.96" @@ -68,28 +84,16 @@ "execution_count": 3, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/1300529156.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " mu_txs[i], sigma_tx = transform_data([x_bar], [sigma_hat], \"log\", \"delta\")\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/1300529156.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_tx / np.sqrt(N)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/1300529156.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_tx / np.sqrt(N)\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "CI coverage rate: 0.947\n" + "CI coverage rate: 0.936\n" ] }, { "data": { - "image/png": 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", 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"text/plain": [ "
" ] @@ -113,9 +117,9 @@ " data = np.random.normal(MU, SIGMA, N)\n", " x_bar = np.mean(data)\n", " sigma_hat = np.std(data)\n", - " mu_txs[i], sigma_tx = transform_data([x_bar], [sigma_hat], \"log\", \"delta\")\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_tx / np.sqrt(N)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_tx / np.sqrt(N)\n", + " mu_txs[i], sigma_tx = transform_univariate(x_bar, sigma_hat, N, \"log\")\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_tx\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_tx\n", " if (ci_lowers[i] < LOG_MU and LOG_MU < ci_uppers[i]):\n", " coverages[i] = 1\n", "\n", @@ -156,7 +160,7 @@ "output_type": "stream", "text": [ "True percentage change in proportions: 9.333333333333336\n", - "10 replications of incidence counts in year 1: [35 23 29 30 24 33 20 38 29]\n" + "10 replications of incidence counts in year 1: [33 21 30 24 29 28 35 28 30]\n" ] } ], @@ -195,24 +199,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "CI coverage rate: 0.953\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/190171402.py:7: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/190171402.py:8: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/190171402.py:9: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" + "CI coverage rate: 0.944\n" ] }, { "data": { - "image/png": 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", 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", 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" ] @@ -228,7 +220,7 @@ "# TODO: try to incorporate this into the testing suite\n", "# print(np.var(y1_incid, ddof=1))\n", "for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " mu_txs[i], sigma_hat = transform_bivariate(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP, \"percentage_change\")\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", @@ -259,29 +251,17 @@ "execution_count": 6, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/813324598.py:13: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/813324598.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/813324598.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ "[0.01 0.06 0.11 0.16 0.21 0.26 0.31 0.36 0.41 0.46 0.51 0.56 0.61 0.66\n", - " 0.71 0.76 0.81 0.86 0.91 0.96] [0.936, 0.961, 0.946, 0.939, 0.949, 0.954, 0.949, 0.959, 0.943, 0.946, 0.947, 0.947, 0.958, 0.955, 0.96, 0.976, 0.957, 0.956, 0.95, 0.95]\n" + " 0.71 0.76 0.81 0.86 0.91 0.96] [0.929, 0.958, 0.949, 0.937, 0.954, 0.944, 0.956, 0.95, 0.946, 0.95, 0.945, 0.95, 0.965, 0.955, 0.946, 0.946, 0.953, 0.961, 0.948, 0.948]\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", "text/plain": [ "
" ] @@ -303,7 +283,7 @@ " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", " for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " mu_txs[i], sigma_hat = transform_bivariate(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP, \"percentage_change\")\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", @@ -334,31 +314,13 @@ "name": "stdout", "output_type": "stream", "text": [ - "[-0.09 0.01 0.11 0.21 0.31 0.41 0.51 0.61 0.71 0.81]\n" - ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3508961853.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3508961853.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3508961853.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" - ] - }, - { - "name": "stdout", - "output_type": "stream", - "text": [ - "[-0.9 0.1 1.1 2.1 3.1 4.1 5.1 6.1 7.1 8.1] [0.922, 0.95, 0.957, 0.95, 0.95, 0.944, 0.962, 0.947, 0.945, 0.952]\n" + "[-0.09 0.01 0.11 0.21 0.31 0.41 0.51 0.61 0.71 0.81]\n", + "[-0.9 0.1 1.1 2.1 3.1 4.1 5.1 6.1 7.1 8.1] [0.922, 0.931, 0.965, 0.945, 0.949, 0.945, 0.948, 0.927, 0.959, 0.957]\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -381,7 +343,7 @@ " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", " for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " mu_txs[i], sigma_hat = transform_bivariate(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP, \"percentage_change\")\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", @@ -408,28 +370,16 @@ "execution_count": 8, "metadata": {}, "outputs": [ - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3515000061.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3515000061.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", - "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_31585/3515000061.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" - ] - }, { "name": "stdout", "output_type": "stream", "text": [ - "[0.945, 0.936, 0.937, 0.951, 0.945, 0.953, 0.958, 0.95, 0.94, 0.944, 0.951, 0.941, 0.951, 0.946, 0.958, 0.95, 0.949, 0.949, 0.956, 0.951, 0.944]\n" + "[0.949, 0.943, 0.946, 0.952, 0.949, 0.944, 0.953, 0.948, 0.952, 0.939, 0.95, 0.945, 0.955, 0.944, 0.953, 0.951, 0.953, 0.952, 0.95, 0.954, 0.948]\n" ] }, { "data": { - "image/png": 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", + "image/png": 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", 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" ] @@ -453,7 +403,7 @@ " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", " for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + " mu_txs[i], sigma_hat = transform_bivariate(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP, \"percentage_change\")\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", @@ -482,7 +432,7 @@ "outputs": [ { "data": { - "image/png": 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", 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", 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" ] diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index 0ef808b..ce3d9c7 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -17,6 +17,8 @@ import numpy.typing as npt from msca.c2fun import c2fun_dict +METHOD_LIST = ["delta"] + class FirstOrder: """ @@ -39,25 +41,29 @@ def __init__(self, transform: str) -> None: self.transform = transform def __call__( - self, mu: npt.ArrayLike, sigma: npt.ArrayLike + self, mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: match self.transform: case "log": - return self.log_trans(mu, sigma) + return self.log_trans(mu, sigma, n) case "logit": - return self.logit_trans(mu, sigma) + return self.logit_trans(mu, sigma, n) case "exp": - return self.exp_trans(mu, sigma) + return self.exp_trans(mu, sigma, n) case "expit": - return self.expit_trans(mu, sigma) + return self.expit_trans(mu, sigma, n) case _: raise ValueError(f"Invalid transform '{self.transform}'.") def log_trans( - self, mu: npt.ArrayLike, sigma: npt.ArrayLike + self, mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: """Performs delta method on data under log transform + .. math:: + + \log(mu), \frac{\sigma}{\mu} \cdot \frac{1}{\sqrt{n}} + Parameters ---------- mu : npt.ArrayLike @@ -71,14 +77,17 @@ def log_trans( Transformed mean and standard error """ log = c2fun_dict["log"] - # log(mu), sigma / mu - return log(mu), sigma * log(mu, order=1) + return log(mu), sigma * log(mu, order=1) / np.sqrt(n) def logit_trans( - self, mu: npt.ArrayLike, sigma: npt.ArrayLike + self, mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: """Performs delta method on data under logit transform + .. math:: + + \log(\frac{\mu}{1 - \mu}), \frac{\sigma}{\mu \cdot (1 - \mu)} \cdot \frac{1}{\sqrt{n}} + Parameters ---------- mu : npt.ArrayLike @@ -92,14 +101,17 @@ def logit_trans( Transformed mean and standard error """ logit = c2fun_dict["logit"] - # log(mu / (1 - mu)), sigma / (mu * (1 - mu)) - return logit(mu), sigma * logit(mu, order=1) + return logit(mu), sigma * logit(mu, order=1) / np.sqrt(n) def exp_trans( - self, mu: npt.ArrayLike, sigma: npt.ArrayLike + self, mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: """Performs delta method on data under exponential transform + .. math:: + + \exp(\mu), \sigma \cdot \exp(\mu) \cdot \frac{1}{\sqrt{n}} + Parameters ---------- mu : npt.ArrayLike @@ -113,14 +125,17 @@ def exp_trans( Transformed mean and standard error """ exp = c2fun_dict["exp"] - # exp(mu), sigma * exp(mu) - return exp(mu), sigma * exp(mu, order=1) + return exp(mu), sigma * exp(mu, order=1) / np.sqrt(n) def expit_trans( - self, mu: npt.ArrayLike, sigma: npt.ArrayLike + self, mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: """Performs delta method on data under expit transform + .. math:: + + \frac{1}{1 + \exp(-\mu)}, \sigma \cdot \frac{\exp(\mu)}{(1 + \exp(\mu))^2} \cdot \frac{1}{\sqrt{n}} + Parameters ---------- mu : npt.ArrayLike @@ -134,20 +149,88 @@ def expit_trans( Transformed mean and standard error """ expit = c2fun_dict["expit"] - # 1 / (1 + exp(-mu)), sigma * exp(x) / (1 + exp(x))^2 - return expit(mu), sigma * expit(mu, order=1) + return expit(mu), sigma * expit(mu, order=1) / np.sqrt(n) -METHOD_LIST = ["delta"] +class FirstOrderBivariate: + def __init__(self, transform: str) -> None: + """Initializes an object to perform 1st order delta method transformations + + Parameters + ---------- + transform : str + Function of choice + Raises + ------ + ValueError + Is thrown function of choice not implemented + """ + self.transform = transform -def transform_data( + def __call__( + self, + c_x: npt.ArrayLike, + n_x: npt.ArrayLike, + c_y: npt.ArrayLike, + n_y: npt.ArrayLike, + ) -> Tuple[np.ndarray, np.ndarray]: + match self.transform: + case "percentage_change": + return self.percentage_change_trans(c_x, n_x, c_y, n_y) + case _: + raise ValueError(f"Invalid transform '{self.transform}'.") + + def percentage_change_trans( + self, + c_x: npt.ArrayLike, + n_x: npt.ArrayLike, + c_y: npt.ArrayLike, + n_y: npt.ArrayLike, + ) -> Tuple[np.ndarray, np.ndarray]: + """percentage change variance transformation for incidence data + + .. math:: + + \frac{p_y}{p_x} - 1, \sigma * \exp(\mu) + + Parameters + ---------- + c_x : npt.ArrayLike + incidence counts in first sample + n_x : npt.ArrayLike + sample sizes of first sample + c_y : npt.ArrayLike + incidence counts in second sample + n_y : npt.ArrayLike + sample sizes of second sample + + Returns + ------- + (delta_hat, sigma_tx) + sample percentage change of prevalence and corresponding transformed standard error + """ + + mu_x = c_x / n_x + mu_y = c_y / n_y + sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) + sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) + + sigma2_tx = (sigma2_y / (n_y * mu_x**2)) + ( + mu_y**2 * sigma2_x / (n_x * mu_x**4) + ) + + return ((mu_y / mu_x) - 1), np.sqrt(sigma2_tx) + + +def transform_univariate( mu: npt.ArrayLike, sigma: npt.ArrayLike, + n: npt.ArrayLike, transform: str, method: str = "delta", ) -> Tuple[np.ndarray, np.ndarray]: - """Transform data from one space to another. + """Transform univariate data from one space to another. Transform data, in the form of sample statistics and their standard errors, from one space to another using a given transform function. @@ -162,7 +245,7 @@ def transform_data( Standard errors. transform : {'log', 'logit', 'exp', 'expit'} Transform function. - method : {'delta'}, optional + method : {'delta'} Method used to transform data. Returns @@ -173,139 +256,116 @@ def transform_data( Standard errors in the transform space. """ - mu, sigma = np.array(mu), np.array(sigma) - _check_input(method, transform, mu, sigma) - if method == "delta": - return delta_method(mu, sigma, transform) - -def delta_method( - mu: npt.ArrayLike, sigma: npt.ArrayLike, transform: str -) -> Tuple[np.ndarray, np.ndarray]: - """Transform data using the delta method. - - Transform data, in the form of sample statistics and their standard - errors, from one space to another using a given transform function - and the delta method. No assumptions are made about the underlying - distributions of the given data. - - Parameters - ---------- - mu : array_like - Sample statistics. - sigma : array_like - Standard errors. - transform : {'log', 'logit', 'exp', 'expit'} - Transform function. - - Returns - ------- - mu_trans : numpy.ndarray - Sample statistics in the transform space. - sigma_trans : numpy.ndarray - Standard errors in the transform space. - - Notes - ----- - The delta method expands a function of a random variable about its - mean with a one-step Taylor approximation and then takes the - variance. - - """ mu, sigma = np.array(mu), np.array(sigma) - _check_input("delta", transform, mu, sigma) - transformer = FirstOrder(transform) - return transformer(mu, sigma) - - -def transform_percentage_change_experiment( - x_vec: npt.ArrayLike, y_vec: npt.ArrayLike -) -> Tuple[float, float]: - """percentage change with transformed standard error - - Parameters - ---------- - x_vec : array_like - observations from first sample - y_vec : array_like - observations from second sample - - Returns - ------- - p_hat : float - bias corrected percentage change - sigma_trans : float - standard error in the transformed space - - Raises - ------ - ValueError - covariance is not possible to calculate when x and y are different lengths - """ - if len(x_vec) != len(y_vec): - raise ValueError("x_vec must be the same length as y_vec") + _check_input(mu, sigma, n) + match method: + case "delta": + transformer = FirstOrder(transform) + return transformer(mu, sigma, n) + case _: + raise ValueError(f"Invalid method '{method}'.") - mu_x, mu_y = np.mean(x_vec), np.mean(y_vec) - cov = np.cov(x_vec, y_vec) - sigma2_x, sigma2_y, sigma_xy = cov[0, 0], cov[1, 1], cov[0, 1] - delta_hat = (mu_y - mu_x) / mu_x - - sigma_trans = ( - (sigma2_y / mu_x**2) - - (2 * mu_y * sigma_xy / (mu_x**3)) - + (mu_y**2 * sigma2_x / (mu_x**4)) - ) - - return delta_hat, np.sqrt(sigma_trans) - - -def handle_input_pct(c_x, n_x, c_y, n_y): - """helper function to convert to numpy arrays""" - return np.array([c_x]), np.array([n_x]), np.array([c_y]), np.array([n_y]) - - -def transform_percentage_change( +def transform_bivariate( c_x: npt.ArrayLike, n_x: npt.ArrayLike, c_y: npt.ArrayLike, n_y: npt.ArrayLike, + transform: str, + method: str = "delta", ) -> Tuple[np.ndarray, np.ndarray]: - """percentage change variance transformation for incidence data + """Transform bivariate data to a univariate space + + Transform data, in the form of counts and sample size from 2 groups, + to point estimates and appropriate standard errors using a given transform + function. No assumptions are made about the underlying distributions of + the data. Parameters ---------- c_x : npt.ArrayLike - incidence counts in first sample + _description_ n_x : npt.ArrayLike - sample size(s) of first sample + _description_ c_y : npt.ArrayLike - incidence counts in second sample + _description_ n_y : npt.ArrayLike - sample size(s) of second sample + _description_ + transform : str + _description_ + method : str, optional + _description_, by default "delta" Returns ------- - (delta_hat, sigma_tx) - sample percentage change of prevalence and corresponding transformed standard error - """ - c_x, n_x, c_y, n_y = handle_input_pct(c_x, n_x, c_y, n_y) + Tuple[np.ndarray, np.ndarray] + _description_ - mu_x = c_x / n_x - mu_y = c_y / n_y - sigma2_x = (c_x * (1 - mu_x) ** 2 + (n_x - c_x) * mu_x**2) / (n_x - 1) - sigma2_y = (c_y * (1 - mu_y) ** 2 + (n_y - c_y) * mu_y**2) / (n_y - 1) + Raises + ------ + ValueError + _description_ + """ - # ruff makes this really ugly for some reason - sigma2_tx = (sigma2_y / (n_y * mu_x**2)) + ( - mu_y**2 * sigma2_x / (n_x * mu_x**4) + c_x, n_x, c_y, n_y = ( + np.array(c_x), + np.array(n_x), + np.array(c_y), + np.array(n_y), ) - - return ((mu_y / mu_x) - 1), np.sqrt(sigma2_tx) + match method: + case "delta": + transformer = FirstOrderBivariate(transform) + return transformer(c_x, n_x, c_y, n_y) + case _: + raise ValueError(f"Invalid method '{method}'.") + + +# def transform_percentage_change_experiment( +# x_vec: npt.ArrayLike, y_vec: npt.ArrayLike +# ) -> Tuple[float, float]: +# """percentage change with transformed standard error + +# Parameters +# ---------- +# x_vec : array_like +# observations from first sample +# y_vec : array_like +# observations from second sample + +# Returns +# ------- +# p_hat : float +# bias corrected percentage change +# sigma_trans : float +# standard error in the transformed space + +# Raises +# ------ +# ValueError +# covariance is not possible to calculate when x and y are different lengths +# """ +# if len(x_vec) != len(y_vec): +# raise ValueError("x_vec must be the same length as y_vec") + +# mu_x, mu_y = np.mean(x_vec), np.mean(y_vec) +# cov = np.cov(x_vec, y_vec) +# sigma2_x, sigma2_y, sigma_xy = cov[0, 0], cov[1, 1], cov[0, 1] + +# delta_hat = (mu_y - mu_x) / mu_x + +# sigma_trans = ( +# (sigma2_y / mu_x**2) +# - (2 * mu_y * sigma_xy / (mu_x**3)) +# + (mu_y**2 * sigma2_x / (mu_x**4)) +# ) + +# return delta_hat, np.sqrt(sigma_trans) def _check_input( - method: str, transform: str, mu: npt.ArrayLike, sigma: npt.ArrayLike + mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike ) -> None: """Run checks on input data. @@ -321,22 +381,8 @@ def _check_input( Standard errors. """ - _check_method_valid(method) - _check_lengths_match(mu, sigma) - _check_sigma_positive(sigma) - - -def _check_method_valid(method: str) -> None: - """Check that `method` is in METHOD_LIST. - - Parameters - ---------- - method : {'delta'} - Method used to transform data. - - """ - if method not in METHOD_LIST: - raise ValueError(f"Invalid method '{method}'.") + # _check_lengths_match(mu, sigma) + _check_sigma_n_positive(sigma, n) def _check_lengths_match(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> None: @@ -354,7 +400,7 @@ def _check_lengths_match(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> None: raise ValueError("Lengths of mu and sigma don't match.") -def _check_sigma_positive(sigma: npt.ArrayLike) -> None: +def _check_sigma_n_positive(sigma: npt.ArrayLike, n: npt.ArrayLike) -> None: """Check that `sigma` is positive. Parameters @@ -367,3 +413,7 @@ def _check_sigma_positive(sigma: npt.ArrayLike) -> None: warnings.warn("Sigma vector contains zeros.") if np.any(sigma < 0.0): raise ValueError("Sigma values must be positive.") + if np.any(n == 0.0): + warnings.warn("Sigma vector contains zeros.") + if np.any(n < 0.0): + raise ValueError("Sigma values must be positive.") From 5f082eef4db788ab4413a810c1d24579516ed239 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Tue, 16 Jul 2024 14:17:57 -0700 Subject: [PATCH 28/32] added latex equation to percentage_change_trans and updated bivariate transformations user guide in sphinx docs --- docs/user_guide/percentage_change.rst | 55 +++++++++++++++++++--- docs/user_guide/simple_transformations.rst | 2 +- src/distrx/transforms.py | 2 +- 3 files changed, 51 insertions(+), 8 deletions(-) diff --git a/docs/user_guide/percentage_change.rst b/docs/user_guide/percentage_change.rst index fce23ec..e6b0550 100644 --- a/docs/user_guide/percentage_change.rst +++ b/docs/user_guide/percentage_change.rst @@ -1,7 +1,50 @@ -Percentage Change -============= +========================= +Bivariate Transformations +========================= -Currently percentage change is implemented in two ways. You can either provide raw data in the form -of observations from 2 separate, equally sized samples (as you would have from an experiment) or -raw counts with the separate, not necessarily equal sample sizes (as you would have from incidence -counts at two separate times) \ No newline at end of file +There are currently 2 bivariate transformations implemented in distrx: + * percentage change + * ratio + +These transformations are implemented using the first order delta method. See INSERT CONCEPTS for +derivation if desired. Note that all functions are in terms of sample statistics (e.g. mean), not +raw counts, even though some functions do take counts as input. + +Example: Percentage Change +-------------------------- + +Suppose we have samples in 2 different years measuring the incidence of cancer cases in each year +in various state counties. The data may look something like the following, + +.. csv-table:: + :header: county, cases_1, sample_1, cases_2, sample_2 + :widths: 10, 10, 10, 10, 10 + :align: center + + "King", 252, 400, 258, 250 + "Snohomish", 12, 300, 90, 500 + "Pierce", 505, 1000, 219, 1000 + "Kitsap", 88, 124, 67, 204 + +and our goal is to find the percentage change in the prevalence of cancer with its appropriate SE. + +The first step is to import the required function from the distrx package. + +.. code-block:: python + + from distrx import transform_univariate + +Different transformation functions can be chosen through specifying a string parameter of which +transform you would like to apply to your data. In this case, it is the following. + +.. code-block:: python + + mu_tx, sigma_tx = transform_bivariate(c_x=df["cases_1"], + n_x=df["sample_1"], + c_y=df["cases_2"], + n_y=df["sample_2"], + transform="percentage_change") + +``mu_tx`` and ``sigma_tx`` are simply the percentage change for each county and their corresponding +standard errors, respectively. ``sigma_tx`` has already been scaled the appropriate sample size so +we **should not** scale it additionally to obtain a confidence interval. diff --git a/docs/user_guide/simple_transformations.rst b/docs/user_guide/simple_transformations.rst index 9d755ca..2430373 100644 --- a/docs/user_guide/simple_transformations.rst +++ b/docs/user_guide/simple_transformations.rst @@ -16,7 +16,7 @@ order Taylor expansion of the transformation function. Example: Log Transform ---------------------- -Assume that we have some means and standard errors (SEs) of systolic blood pressure (SBP) from +Suppose that we have some means and standard errors (SEs) of systolic blood pressure (SBP) from several different samples. The data may look something like the following, .. csv-table:: diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index ce3d9c7..ea7d6e0 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -192,7 +192,7 @@ def percentage_change_trans( .. math:: - \frac{p_y}{p_x} - 1, \sigma * \exp(\mu) + \frac{p_y}{p_x} - 1, \sqrt{\frac{\sigma_y^2}{n_y\mu_x^2} + \frac{\mu_y^2\sigma_x^2}{n_x\mu_x^4}} Parameters ---------- From cb4aa739f810d199e4890400e13e5e4a9aa89a5c Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Wed, 17 Jul 2024 16:02:34 -0700 Subject: [PATCH 29/32] fix documentation typos in docstrings in transforms.py, and in transform_bivariate sphinx doc, and adjust testing accordingly to restructuring --- docs/user_guide/percentage_change.rst | 5 +- src/distrx/transforms.py | 10 +-- tests/test_transforms.py | 105 +++++++++++++------------- 3 files changed, 60 insertions(+), 60 deletions(-) diff --git a/docs/user_guide/percentage_change.rst b/docs/user_guide/percentage_change.rst index e6b0550..d57fd53 100644 --- a/docs/user_guide/percentage_change.rst +++ b/docs/user_guide/percentage_change.rst @@ -32,7 +32,7 @@ The first step is to import the required function from the distrx package. .. code-block:: python - from distrx import transform_univariate + from distrx import transform_bivariate Different transformation functions can be chosen through specifying a string parameter of which transform you would like to apply to your data. In this case, it is the following. @@ -47,4 +47,5 @@ transform you would like to apply to your data. In this case, it is the followin ``mu_tx`` and ``sigma_tx`` are simply the percentage change for each county and their corresponding standard errors, respectively. ``sigma_tx`` has already been scaled the appropriate sample size so -we **should not** scale it additionally to obtain a confidence interval. +we **should not** scale it additionally with some function of othe sample size to obtain a +confidence interval. diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index ea7d6e0..1a61082 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -62,7 +62,7 @@ def log_trans( .. math:: - \log(mu), \frac{\sigma}{\mu} \cdot \frac{1}{\sqrt{n}} + \\log(mu), \\frac{\\sigma}{\\mu} \\cdot \\frac{1}{\\sqrt{n}} Parameters ---------- @@ -86,7 +86,7 @@ def logit_trans( .. math:: - \log(\frac{\mu}{1 - \mu}), \frac{\sigma}{\mu \cdot (1 - \mu)} \cdot \frac{1}{\sqrt{n}} + \\log(\\frac{\\mu}{1 - \\mu}), \\frac{\\sigma}{\\mu \\cdot (1 - \\mu)} \\cdot \\frac{1}{\\sqrt{n}} Parameters ---------- @@ -110,7 +110,7 @@ def exp_trans( .. math:: - \exp(\mu), \sigma \cdot \exp(\mu) \cdot \frac{1}{\sqrt{n}} + \\exp(\\mu), \\sigma \\cdot \\exp(\\mu) \\cdot \\frac{1}{\\sqrt{n}} Parameters ---------- @@ -134,7 +134,7 @@ def expit_trans( .. math:: - \frac{1}{1 + \exp(-\mu)}, \sigma \cdot \frac{\exp(\mu)}{(1 + \exp(\mu))^2} \cdot \frac{1}{\sqrt{n}} + \\frac{1}{1 + \\exp(-\\mu)}, \\sigma \\cdot \\frac{\\exp(\\mu)}{(1 + \\exp(\\mu))^2} \\cdot \\frac{1}{\\sqrt{n}} Parameters ---------- @@ -192,7 +192,7 @@ def percentage_change_trans( .. math:: - \frac{p_y}{p_x} - 1, \sqrt{\frac{\sigma_y^2}{n_y\mu_x^2} + \frac{\mu_y^2\sigma_x^2}{n_x\mu_x^4}} + \\frac{p_y}{p_x} - 1, \\sqrt{\\frac{\\sigma_y^2}{n_y\\mu_x^2} + \\frac{\\mu_y^2\\sigma_x^2}{n_x\\mu_x^4}} Parameters ---------- diff --git a/tests/test_transforms.py b/tests/test_transforms.py index 97ad940..ddc7d60 100644 --- a/tests/test_transforms.py +++ b/tests/test_transforms.py @@ -4,14 +4,9 @@ import pandas as pd import pytest -from distrx.transforms import ( - delta_method, - transform_data, - transform_percentage_change, - transform_percentage_change_experiment, -) - -TRANSFORM_DICT = { +from distrx.transforms import transform_bivariate, transform_univariate + +UNIVARIATE_TRANSFORM_DICT = { "log": [np.log, lambda x: 1.0 / x], "logit": [lambda x: np.log(x / (1.0 - x)), lambda x: 1.0 / (x * (1.0 - x))], "exp": [np.exp, np.exp], @@ -20,96 +15,98 @@ lambda x: np.exp(-x) / (1.0 + np.exp(-x)) ** 2, ], } -TRANSFORM_LIST = list(TRANSFORM_DICT.keys()) -FUNCTION_LIST = [transform_data, delta_method] +UNIVARIATE_TRANSFORM_LIST = list(UNIVARIATE_TRANSFORM_DICT.keys()) + +# BIVARIATE_TRANSFORM_DICT = { +# "percentage change": [np.] +# } +BIVARIATE_TRANSFORM_LIST = ["percentage_change"] +# FUNCTION_LIST = [transform_data, delta_method] VALS = [0.1] * 2 +N = len(VALS) -@pytest.mark.parametrize("transform", TRANSFORM_LIST) +@pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) def test_method_name_valid(transform): """Raise ValueError for invalue `method`.""" with pytest.raises(ValueError): - transform_data(VALS, VALS, transform, method="dummy") + transform_univariate(VALS, VALS, N, transform, method="dummy") -@pytest.mark.parametrize("function", FUNCTION_LIST) -@pytest.mark.parametrize("transform", TRANSFORM_LIST) -def test_input_len_match(function, transform): +@pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) +def test_input_len_match(transform): """Raise ValueError if lengths of input vectors don't match.""" with pytest.raises(ValueError): - function(VALS, VALS * 2, transform) + transform_univariate(VALS, VALS * 2, N, transform) -@pytest.mark.parametrize("function", FUNCTION_LIST) -@pytest.mark.parametrize("transform", TRANSFORM_LIST) -def test_sigma_negative(function, transform): +@pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) +def test_sigma_negative(transform): """Raise ValueError if `sigma` contains negative values.""" vals = VALS + [-0.1] with pytest.raises(ValueError): - function(vals, vals, transform) + transform_univariate(vals, vals, N, transform) -@pytest.mark.parametrize("function", FUNCTION_LIST) -@pytest.mark.parametrize("transform", TRANSFORM_LIST) -def test_sigma_zero(function, transform): +@pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) +def test_sigma_zero(transform): """Display warning if `sigma` contains zeros.""" vals = VALS + [0.0] with pytest.warns(UserWarning): - function(vals, vals, transform) + transform_univariate(vals, vals, N, transform) -@pytest.mark.parametrize("function", FUNCTION_LIST) -def test_transform_name_valid(function): +def test_transform_name_valid(): """Raise ValueError for invalid `transform`.""" with pytest.raises(ValueError): - function(VALS, VALS, "dummy") + transform_univariate(VALS, VALS, N, "dummy") + transform_bivariate(VALS, VALS, VALS, VALS, "dummy") -@pytest.mark.parametrize("function", FUNCTION_LIST) -@pytest.mark.parametrize("transform", TRANSFORM_LIST) -def test_output_type(function, transform): +@pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) +def test_output_type(transform): """Output should be numpy arrays.""" - mu, sigma = function(VALS, VALS, transform) + mu, sigma = transform_univariate(VALS, VALS, N, transform) assert isinstance(mu, np.ndarray) assert isinstance(sigma, np.ndarray) -@pytest.mark.parametrize("function", FUNCTION_LIST) -@pytest.mark.parametrize("transform", TRANSFORM_LIST) -def test_outout_len_match(function, transform): +@pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) +def test_outout_len_match(transform): """Length of output vectors should match.""" - mu, sigma = function(VALS, VALS, transform) + mu, sigma = transform_univariate(VALS, VALS, N, transform) assert len(mu) == len(sigma) -@pytest.mark.parametrize("transform", TRANSFORM_LIST) +@pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) def test_delta_result(transform): """Check expected results.""" mu = np.random.uniform(0.1, 1.0, size=10) sigma = np.random.uniform(0.1, 1.0, size=10) - mu_ref = TRANSFORM_DICT[transform][0](mu) - sigma_ref = sigma * TRANSFORM_DICT[transform][1](mu) - mu_trans, sigma_trans = delta_method(mu, sigma, transform) + mu_ref = UNIVARIATE_TRANSFORM_DICT[transform][0](mu) + sigma_ref = sigma * UNIVARIATE_TRANSFORM_DICT[transform][1](mu) + mu_trans, sigma_trans = transform_univariate(mu, sigma, N, transform) assert np.allclose(mu_trans, mu_ref) assert np.allclose(sigma_trans, sigma_ref) -def test_percentage_change(): - x = np.random.normal(1, 0.1, 1000) - y = np.random.normal(1.1, 0.1, 1000) - z = np.random.normal(1, 0.1, 1001) - p, sigma = transform_percentage_change_experiment(x, y) - assert 0 < p and p < 1 - assert 0 < sigma and sigma < 1 - with pytest.raises(ValueError): - transform_percentage_change_experiment(x, z) +# TODO: DEPRECATE +# def test_percentage_change(): +# x = np.random.normal(1, 0.1, 1000) +# y = np.random.normal(1.1, 0.1, 1000) +# z = np.random.normal(1, 0.1, 1001) +# p, sigma = transform_percentage_change_experiment(x, y) +# assert 0 < p and p < 1 +# assert 0 < sigma and sigma < 1 +# with pytest.raises(ValueError): +# transform_percentage_change_experiment(x, z) def test_percentage_change_counts(): x = np.random.choice([0, 1], size=1000, p=[0.1, 0.9]) y = np.random.choice([0, 1], size=1100, p=[0.2, 0.8]) - mu, sigma = transform_percentage_change( - (x == 1).sum(), len(x), (y == 1).sum(), len(y) + mu, sigma = transform_bivariate( + (x == 1).sum(), len(x), (y == 1).sum(), len(y), "percentage_change" ) assert -1 <= mu and mu < np.inf assert 0 < sigma and sigma < 1 @@ -120,7 +117,7 @@ def test_percentage_change_input(): c_x, n_x = 100, 1000 c_y, n_y = 200, 1050 # with pytest.raises(TypeError): - transform_percentage_change(c_x, n_x, c_y, n_y) + transform_bivariate(c_x, n_x, c_y, n_y, "percentage_change") # base list input c_x = [100, 200] @@ -128,9 +125,11 @@ def test_percentage_change_input(): c_y = [300, 400] n_y = [1050, 1050] # with pytest.raises(TypeError): - transform_percentage_change(c_x, n_x, c_y, n_y) + transform_bivariate(c_x, n_x, c_y, n_y, "percentage_change") # dataframe input df = pd.DataFrame({"c_x": c_x, "n_x": n_x, "c_y": c_y, "n_y": n_y}) # with pytest.raises(TypeError): - transform_percentage_change(df["c_x"], df["n_x"], df["c_y"], df["n_y"]) + transform_bivariate( + df["c_x"], df["n_x"], df["c_y"], df["n_y"], "percentage_change" + ) From 630418317eb58f995805ea3624d39e9f5de269ec Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Thu, 18 Jul 2024 09:36:04 -0700 Subject: [PATCH 30/32] add missing scaling factor --- tests/test_transforms.py | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/tests/test_transforms.py b/tests/test_transforms.py index ddc7d60..26e2d16 100644 --- a/tests/test_transforms.py +++ b/tests/test_transforms.py @@ -84,7 +84,7 @@ def test_delta_result(transform): mu = np.random.uniform(0.1, 1.0, size=10) sigma = np.random.uniform(0.1, 1.0, size=10) mu_ref = UNIVARIATE_TRANSFORM_DICT[transform][0](mu) - sigma_ref = sigma * UNIVARIATE_TRANSFORM_DICT[transform][1](mu) + sigma_ref = sigma * UNIVARIATE_TRANSFORM_DICT[transform][1](mu) / np.sqrt(N) mu_trans, sigma_trans = transform_univariate(mu, sigma, N, transform) assert np.allclose(mu_trans, mu_ref) assert np.allclose(sigma_trans, sigma_ref) From 549a2c928ddfba4d6a7d51dff8f298cddd62909b Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Fri, 19 Jul 2024 16:20:21 -0700 Subject: [PATCH 31/32] create simulation function and run simulations on all 4 univariate transforms in simulations.ipynb --- simulations.ipynb | 320 ++++++++++++++++++++++++++++++--------- src/distrx/transforms.py | 51 +++---- 2 files changed, 267 insertions(+), 104 deletions(-) diff --git a/simulations.ipynb b/simulations.ipynb index fd81805..4bb7c83 100644 --- a/simulations.ipynb +++ b/simulations.ipynb @@ -12,22 +12,6 @@ "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n", "Intel MKL WARNING: Support of Intel(R) Streaming SIMD Extensions 4.2 (Intel(R) SSE4.2) enabled only processors has been deprecated. Intel oneAPI Math Kernel Library 2025.0 will require Intel(R) Advanced Vector Extensions (Intel(R) AVX) instructions.\n" ] - }, - { - "name": "stderr", - "output_type": "stream", - "text": [ - "/Users/maxbi/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:61: SyntaxWarning: invalid escape sequence '\\l'\n", - " \"\"\"Performs delta method on data under log transform\n", - "/Users/maxbi/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:85: SyntaxWarning: invalid escape sequence '\\l'\n", - " \"\"\"Performs delta method on data under logit transform\n", - "/Users/maxbi/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:109: SyntaxWarning: invalid escape sequence '\\e'\n", - " \"\"\"Performs delta method on data under exponential transform\n", - "/Users/maxbi/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:133: SyntaxWarning: invalid escape sequence '\\e'\n", - " \"\"\"Performs delta method on data under expit transform\n", - "/Users/maxbi/Documents/UW Grad/IHME/MSCA/distrx/src/distrx/transforms.py:191: SyntaxWarning: invalid escape sequence '\\s'\n", - " \"\"\"percentage change variance transformation for incidence data\n" - ] } ], "source": [ @@ -38,7 +22,13 @@ " transform_bivariate\n", ")\n", "NREP = 1000\n", - "Q = 1.96" + "Q = 1.96\n", + "TRANSFORM_DICT = {\n", + " \"log\": np.log,\n", + " \"exp\": np.exp,\n", + " \"logit\": lambda x: np.log(x / (1 - x)),\n", + " \"expit\": lambda x: np.exp(x) / (1 + np.exp(x))\n", + "}" ] }, { @@ -48,6 +38,34 @@ "outputs": [], "source": [ "# helper functions\n", + "def simulate(distribution_func, transform_func, original_mean, sample_size=100, **distribution_params):\n", + " # calculate true transformed mean and initialize arrays to store results\n", + " truth = TRANSFORM_DICT[transform_func](original_mean)\n", + " coverages = np.zeros(NREP)\n", + " mu_txs = np.zeros(NREP)\n", + " ci_uppers = np.zeros(NREP)\n", + " ci_lowers = np.zeros(NREP)\n", + "\n", + " for i in range(NREP):\n", + " # generate data from given distribution, calculate sample_mean, sample_sd\n", + " data = distribution_func(size=sample_size, **distribution_params)\n", + " x_bar = np.mean(data)\n", + " sigma_hat = np.std(data)\n", + "\n", + " # run delta method transformation for transformed_mean and transformed_sd\n", + " mu_txs[i], sigma_tx = transform_univariate(x_bar, sigma_hat, transform_func, \"delta\")\n", + "\n", + " # calculate CI bounds with transformed_mean + Q * transformed_sd / sqrt(sample_size)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_tx / np.sqrt(sample_size)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_tx / np.sqrt(sample_size)\n", + "\n", + " # indicate coverage success when transformed mean lies between CI bounds as described above\n", + " if (ci_lowers[i] < truth and truth < ci_uppers[i]):\n", + " coverages[i] = 1\n", + "\n", + " return (coverages, mu_txs, ci_uppers, ci_lowers, (coverages == 1).sum() / NREP)\n", + "\n", + "\n", "def plot_simulation(coverages: np.ndarray, mu_txs: np.ndarray, ci_lowers: np.ndarray, ci_uppers: np.ndarray,\n", " truth: float, transform: str, line_width=0.75, cap_size=2, marker_size=3, fig_size=(17, 6)):\n", " \"\"\"\n", @@ -64,10 +82,10 @@ " yerr=[[mu_txs[i] - ci_lowers[i]], [ci_uppers[i] - mu_txs[i]]],\n", " fmt=\"o\", color=\"red\", ecolor=\"red\", capsize=cap_size, markersize=marker_size)\n", "\n", - " plt.axhline(y=truth, color='gray', linestyle='--')\n", + " plt.axhline(y=TRANSFORM_DICT[transform](truth), color='gray', linestyle='--')\n", " plt.xlabel(\"replication no.\")\n", " plt.ylabel(\"Mean\")\n", - " plt.title(\"95% CIs using Delta Method SE for \" + transform)\n", + " plt.title(\"95% CIs using Delta Method SE for \" + transform + \" transform\")\n", " plt.legend([\"True Mean\"], loc=\"upper right\")\n", " plt.show()" ] @@ -88,12 +106,12 @@ "name": "stdout", "output_type": "stream", "text": [ - "CI coverage rate: 0.936\n" + "0.945\n" ] }, { "data": { - "image/png": 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", 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" ] @@ -103,31 +121,147 @@ } ], "source": [ - "# log transformation\n", - "MU = 4\n", - "SIGMA = 1\n", - "N = 100\n", - "LOG_MU = np.log(MU)\n", - "coverages = np.zeros(NREP)\n", - "mu_txs = np.zeros(NREP)\n", - "ci_uppers = np.zeros(NREP)\n", - "ci_lowers = np.zeros(NREP)\n", + "# log transformation w/N(5, 1)\n", + "orig_mean = 5\n", + "orig_sd = 1\n", + "transform = \"log\"\n", "\n", - "for i in range(NREP):\n", - " data = np.random.normal(MU, SIGMA, N)\n", - " x_bar = np.mean(data)\n", - " sigma_hat = np.std(data)\n", - " mu_txs[i], sigma_tx = transform_univariate(x_bar, sigma_hat, N, \"log\")\n", - " ci_uppers[i] = mu_txs[i] + Q * sigma_tx\n", - " ci_lowers[i] = mu_txs[i] - Q * sigma_tx\n", - " if (ci_lowers[i] < LOG_MU and LOG_MU < ci_uppers[i]):\n", - " coverages[i] = 1\n", + "coverages, mu_txs, ci_uppers, ci_lowers, coverage_pct = simulate(distribution_func=np.random.normal,\n", + " transform_func=transform,\n", + " original_mean=orig_mean,\n", + " loc=orig_mean,\n", + " scale=orig_sd)\n", "\n", - "coverage_pct = (coverages == 1).sum() / NREP\n", - "print(\"CI coverage rate: \", coverage_pct)\n", + "print(coverage_pct)\n", + "\n", + "# plotting\n", + "plot_simulation(coverages, mu_txs, ci_lowers, ci_uppers, orig_mean, transform)" + ] + }, + { + "cell_type": "code", + "execution_count": 4, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.93\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# exp transformation w/Unif(-2, 9)\n", + "orig_lb = -2\n", + "orig_ub = 9\n", + "orig_mean = (orig_ub + orig_lb) / 2\n", + "transform = \"exp\"\n", + "\n", + "coverages, mu_txs, ci_uppers, ci_lowers, coverage_pct = simulate(distribution_func=np.random.uniform,\n", + " transform_func=transform,\n", + " original_mean=orig_mean,\n", + " low=orig_lb,\n", + " high=orig_ub)\n", + "\n", + "print(coverage_pct)\n", + "\n", + "# plotting\n", + "plot_simulation(coverages, mu_txs, ci_lowers, ci_uppers, orig_mean, transform)" + ] + }, + { + "cell_type": "code", + "execution_count": 5, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.951\n" + ] + }, + { + "data": { + "image/png": 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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# logit transformation w/Unif(0, 1)\n", + "orig_lb = 0\n", + "orig_ub = 1\n", + "orig_mean = (orig_ub + orig_lb) / 2\n", + "transform = \"logit\"\n", + "\n", + "coverages, mu_txs, ci_uppers, ci_lowers, coverage_pct = simulate(distribution_func=np.random.uniform,\n", + " transform_func=transform,\n", + " original_mean=orig_mean,\n", + " low=orig_lb,\n", + " high=orig_ub)\n", + "\n", + "print(coverage_pct)\n", "\n", "# plotting\n", - "plot_simulation(coverages, mu_txs, ci_lowers, ci_uppers, LOG_MU, \"log transform\")" + "plot_simulation(coverages, mu_txs, ci_lowers, ci_uppers, orig_mean, transform)" + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "0.913\n" + ] + }, + { + "data": { + "image/png": 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HUtx+8OqrrzpNmjRxRowY4cyYMcOR5Nxzzz1x7zPff/nll8dNf+CBBxxJzv33398wzb9vr1271pHkjBs3LlLZzTY1c+bMhP+dd955jiRnxowZoZ+xdetWZ9OmTc7y5csdSc6TTz6Z8FtuuummuPcMHz7cad68ecO2ZJbV119/HfpdkpxLLrkkbtovfvELp1mzZs6KFSviph9zzDHONtts0/CZZrs4/PDDA3+rd5/btGmT07ZtW0eSs2TJkobpX375pVNVVeWMHDkytKwAADRmtNQFAAANfvnLX+qDDz7QpZdeqs8//1yfffaZLrroIi1fvlxSfPftyy+/XJdffrmOPvpoHX300frNb36j++67T//85z81bdq0hvnatWunRYsW6ZNPPtHnn3+uZ599VlVVVaqtrdXo0aPVvXt3PfbYY+rRo4d23HFHHXfccfrss89y+ju7deumHXbYQVdddZXuvvtuvffee1n/jgMPPFBvv/22hg8frueffz6lnK7t27fXgQceGDdtv/32a1gPkjsA2L777puQ79OkIcgGx3Ea/v7www/1z3/+U2eddZYkxbXqHDRokOrr660pB6JYunSpTjjhBO20006qqqpS06ZNde6552rLli364IMPIn9O//79tfvuu2vGjBn6+9//rjfeeCMw9cIzzzyj7bffXscff3zcbznggAPUvn37lNJXnHDCCXGv99tvP0lqWF8LFizQf/7zn4Qu+h07dtSRRx6pv/zlL5Lc1pCrVq3SmWeeGdftvXPnzg2t25MZNGiQVqxYoccff1xXXHGFevTooSeeeEInnHCCtRX3ZZddpjfeeCPhkc6AXqb855xzTtyxYrvtttOpp56qhQsX6vvvv497z6mnnhrps5955hn95Cc/0S677BK3vkze15dffrlh3kMOOUQ33HCDJk2apIsvvlhnn322hg4dav1csz0bp512mpo0aaKXXnopUrmyxbYc1qxZo4suukgdO3ZUkyZN1LRpU3Xu3FmSrGk7bNvhDz/8oDVr1khSQxqI0047TY888og+//zzyOV78cUXddRRR6ljx45x0wcPHqzvv/8+Ib1G0HqtqKjQoEGDGl43adJE3bp1U01NjXr27Nkwfccdd9TOO+8cd8wDAADxCOoCAIAG559/vm688Ub94Q9/UIcOHdSpUye99957uuKKKyRJu+66a+j7Tz75ZG277bZauHBh3HSTh3SXXXaRJN14442qrKzUr3/964ZA4a233qqVK1eqTZs2DYOoBenUqZPWrl3bkB8zVa1bt9bLL7+sAw44QNdee6169OihXXbZRePGjUspj2uYa665RrfccosWLlyoY445RjvttJOOOuoovfnmm0nfu9NOOyVMa9asWUNKAMnNn2obwCxbg5p99913+vLLLxvW2b/+9S9J0hVXXKGmTZvGPYYPHy5JCbk+o1ixYoUOO+wwff7557r99tv1yiuv6I033mjo3u/9zclUVFRoyJAhuv/++3X33Xdrjz320GGHHWad91//+pe+/vprVVdXJ/ye1atXp/Rb/OvLpCsxZQ/LdbvLLrs0/N88t2/fPmE+27QgLVq00EknnaSbb75ZL7/8sj788EPts88+uuuuu/Tuu+/GzduhQwf16dMn4bHddttF/j4j2e/cunWrvvrqq7jpQfl//f71r3/p6aefTlhXPXr0kJS47Z111lmqrq7Whg0b9Otf/zrwc/3LtUmTJtppp50afks+bLPNNnGD+0luWowBAwZozpw5uvLKK/WXv/xFr7/+esOx1bZfJNsODz/8cD3xxBPavHmzzj33XHXo0EH77rtvXB7qIF9++WXgejX/9wpar9tss42aN28eN626ulo77rhjwrzV1dUN+dcBAEAihiAFAABxrrrqKo0YMULLli1Ty5Yt1blzZ9XW1mrbbbdV7969k77fcZzQAZnef/993Xjjjfrzn/+spk2b6s9//rN69Oihn/3sZ5KkkSNHav/999e3334bGFgaOHCgXnjhBT399NP6xS9+kdbv/NGPfqTZs2fLcRz97W9/06xZs3TdddepRYsWuvrqqwPf17x5c23YsCFh+hdffBE32FuTJk00cuRIjRw5Ul9//bX+/Oc/69prr9XAgQP12WefZTy6/U477dQQaPVavXp1Rp9rPPvss9qyZUvDAFHmt11zzTU65ZRTrO/Zc889U/6eJ554Qt99953mzJnT0ApRkt56662UP0tyWw6OHTtWd999t2644YbA+dq0aaOddtqpIT+qX8uWLdP6fhsTbLMNNLhq1aqGZWvms63DTNZrp06ddOGFF2rEiBF69913GwKh2Zbsd1ZWVmqHHXaIm+5tkRymTZs22m+//QLXqQkuStKWLVt01llnaYcddlCzZs00dOhQzZ8/X9XV1QnvW716ddzNqs2bN+vLL7+03ljJFdsyeOedd/T2229r1qxZOu+88xqmf/jhhxl914knnqgTTzxRGzZs0MKFCzVx4kSdeeaZ2m233dSvX7/A9+20006B61VSwkCXUdcrAABIHy11AQBAgmbNmmnfffdV586dtWLFCj388MMaNmyYWrRoEfq+Rx99VN9//70OOuigwHlqa2s1ePDghu7kjuPEtbj99ttvG6YHGTp0qNq3b68rr7wysAvxnDlzQstqVFRUaP/999f//u//avvtt9eSJUtC599tt930t7/9LW7aBx98EJp6YPvtt9fPf/5zXXLJJfr3v/8daQCrZPr376933nknIXXE7NmzM/7sFStW6IorrlDr1q0bBivbc8891b17d7399tvWlp19+vQJDYT6Ww0aJvjjHaDPcZy4FB6p2HXXXfXrX/9axx9/fFwwzO+4447Tl19+qS1btlh/izdA7W8lnap+/fqpRYsWcQPdSdLKlSsburVL7jKuqanRQw89FLf9L1++XK+99lrS7/nmm28a9h8/013fG/zMtj333FO77rqrHnzwwbjyf/fdd3rsscfUr1+/tG9mHHfccXrnnXe0++67W9eX93eNGzdOr7zyih544AE9/PDDevvttwNb6z7wwANxrx955BFt3ry54WaGTdC2nK35Jft+IUl1dXWRPyNZmfr376/f/e53ktwUKGGOOuoovfjiiw1BXOO+++7TNttsE3rMBwAAuUFLXQAA0OCdd97RY489pj59+qhZs2Z6++23deONN6p79+66/vrrG+Zbvny5zjzzTP3iF79Qt27dVFFRoZdfflmTJk1Sjx494kZ295oxY4Y++OADPfnkkw3TjjrqKF1++eUaO3asDjvsMI0bN06HHHJIaICwdevWevLJJ3XcccepZ8+euvTSS9WvXz9VV1dr2bJluv/++/X2228Htih95plnNHnyZJ100knq2rWrHMfRnDlz9PXXX+voo48OXUbnnHOOzj77bA0fPlynnnqqli9frptuuklt27aNm+/444/Xvvvuqz59+qht27Zavny5Jk2apM6dO6t79+6h3xHFiBEjNGPGDB1zzDG67rrr1K5dOz344IP65z//KUmhraW93nnnnYb8pGvWrNErr7yimTNnqqqqSo8//njc76qrq9MxxxyjgQMHavDgwdp1113173//W//4xz+0ZMkS/fGPfwz8nh/96EeSpN/97nc65phjVFVVpf32209HH320qqurdcYZZ+jKK6/UDz/8oClTpiR000/FjTfemHSeX/ziF3rggQc0aNAgXXbZZTrwwAPVtGlTrVy5Ui+99JJOPPFEnXzyyQ1lnz17th5++GF17dpVzZs3b/g9UWy//fYaM2aMrr32Wp177rk644wz9OWXX2rChAlq3ry5xo0bJ8ldZ9dff70uuOACnXzyyRo2bJi+/vprjR8/PlL6hffff18DBw7UL37xC/Xv3181NTX66quv9Oyzz2rq1Kk64ogjEnLzrlixIiFdiiS1bdtWu+++e+TfaMp/00036ayzztJxxx2n2tpabdiwQTfffLO+/vrrSOslyHXXXad58+bp4IMP1q9+9Svtueee+uGHH/Tpp59q7ty5uvvuu9WhQwfNmzdPEydO1JgxYxqC5RMnTtQVV1yhI444omGdGnPmzFGTJk109NFH691339WYMWO0//7767TTTgssi+nB8OSTT+qoo47SjjvuqDZt2mi33Xazzr/77rurRYsWeuCBB7T33ntru+220y677BIaYN9rr720++676+qrr5bjONpxxx319NNPa968eakvvP8aO3asVq5cqaOOOkodOnTQ119/rdtvv11NmzZV//79Q987bty4hrzGY8eO1Y477qgHHnhAzz77rG666Sa1bt067XIBAIA0FWqENgAAUHzef/995/DDD3d23HFHp7q62unWrZszevRo59tvv42b79///rdz8sknO7vttpvTokULp7q62unevbtz5ZVXBo6svmbNGmfHHXd0/vjHPyb874EHHnC6d+/ubLfdds7RRx/tfPzxx5HKu3r1aueqq65yevTo4WyzzTZOs2bNnG7dujm1tbXO3//+94b5zOjwa9eudRzHcf75z386Z5xxhrP77rs7LVq0cFq3bu0ceOCBzqxZs5J+59atW52bbrrJ6dq1q9O8eXOnT58+zosvvuj079/f6d+/f8N8t956q3PwwQc7bdq0caqrq51OnTo5Q4cOdT799NOGeWbOnOlIcj755JOGaf3793d69OiR8L3nnXee07lz57hp77zzjvPTn/7Uad68ubPjjjs6Q4cOde69915HkvP222+H/g7z3eZRXV3t7Lzzzk7//v2d3/72t86aNWus73v77bed0047zdl5552dpk2bOu3bt3eOPPJI5+67726Y56WXXnIkOS+99FLDtA0bNjgXXHCB07ZtW6eioiLudz/99NPO/vvv7zRv3tzZddddnV//+tfOn/70p4TPCPsdb7zxRuh8PXr0iFs/juM4mzZtcm655ZaG795uu+2cvfbay6mtrXWWLVvWMN+nn37qDBgwwGnZsqUjqWE9mN/p36Y/+eQ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", + "text/plain": [ + "
" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "# logit transformation w/Gumbel(-5.7, 3.11)\n", + "orig_loc = -5.7\n", + "orig_scale = 3.11\n", + "orig_mean = orig_loc + orig_scale * np.euler_gamma\n", + "transform = \"expit\"\n", + "\n", + "coverages, mu_txs, ci_uppers, ci_lowers, coverage_pct = simulate(distribution_func=np.random.gumbel,\n", + " transform_func=transform,\n", + " original_mean=orig_mean,\n", + " loc=orig_loc,\n", + " scale=orig_scale)\n", + "\n", + "print(coverage_pct)\n", + "\n", + "# plotting\n", + "plot_simulation(coverages, mu_txs, ci_lowers, ci_uppers, orig_mean, transform)" ] }, { @@ -152,7 +286,7 @@ }, { "cell_type": "code", - "execution_count": 4, + "execution_count": 7, "metadata": {}, "outputs": [ { @@ -160,7 +294,7 @@ "output_type": "stream", "text": [ "True percentage change in proportions: 9.333333333333336\n", - "10 replications of incidence counts in year 1: [33 21 30 24 29 28 35 28 30]\n" + "10 replications of incidence counts in year 1: [35 29 37 29 31 23 37 30 28]\n" ] } ], @@ -192,25 +326,19 @@ }, { "cell_type": "code", - "execution_count": 5, + "execution_count": 8, "metadata": {}, "outputs": [ { - "name": "stdout", - "output_type": "stream", - "text": [ - "CI coverage rate: 0.944\n" + "ename": "NameError", + "evalue": "name 'transform_percentage_change' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "Cell \u001b[0;32mIn[8], line 7\u001b[0m\n\u001b[1;32m 4\u001b[0m \u001b[38;5;66;03m# TODO: try to incorporate this into the testing suite\u001b[39;00m\n\u001b[1;32m 5\u001b[0m \u001b[38;5;66;03m# print(np.var(y1_incid, ddof=1))\u001b[39;00m\n\u001b[1;32m 6\u001b[0m \u001b[38;5;28;01mfor\u001b[39;00m i \u001b[38;5;129;01min\u001b[39;00m \u001b[38;5;28mrange\u001b[39m(NREP):\n\u001b[0;32m----> 7\u001b[0m mu_txs[i], sigma_hat \u001b[38;5;241m=\u001b[39m \u001b[43mtransform_percentage_change\u001b[49m(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n\u001b[1;32m 8\u001b[0m ci_uppers[i] \u001b[38;5;241m=\u001b[39m mu_txs[i] \u001b[38;5;241m+\u001b[39m Q \u001b[38;5;241m*\u001b[39m sigma_hat\n\u001b[1;32m 9\u001b[0m ci_lowers[i] \u001b[38;5;241m=\u001b[39m mu_txs[i] \u001b[38;5;241m-\u001b[39m Q \u001b[38;5;241m*\u001b[39m sigma_hat\n", + "\u001b[0;31mNameError\u001b[0m: name 'transform_percentage_change' is not defined" ] - }, - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" } ], "source": [ @@ -220,7 +348,7 @@ "# TODO: try to incorporate this into the testing suite\n", "# print(np.var(y1_incid, ddof=1))\n", "for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_bivariate(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP, \"percentage_change\")\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", @@ -248,20 +376,32 @@ }, { "cell_type": "code", - "execution_count": 6, + "execution_count": null, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_28883/813324598.py:13: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_28883/813324598.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_28883/813324598.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ "[0.01 0.06 0.11 0.16 0.21 0.26 0.31 0.36 0.41 0.46 0.51 0.56 0.61 0.66\n", - " 0.71 0.76 0.81 0.86 0.91 0.96] [0.929, 0.958, 0.949, 0.937, 0.954, 0.944, 0.956, 0.95, 0.946, 0.95, 0.945, 0.95, 0.965, 0.955, 0.946, 0.946, 0.953, 0.961, 0.948, 0.948]\n" + " 0.71 0.76 0.81 0.86 0.91 0.96] [0.941, 0.95, 0.959, 0.941, 0.943, 0.945, 0.955, 0.95, 0.94, 0.943, 0.949, 0.944, 0.952, 0.956, 0.934, 0.945, 0.949, 0.948, 0.953, 0.952]\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -283,7 +423,7 @@ " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", " for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_bivariate(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP, \"percentage_change\")\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", @@ -307,20 +447,38 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": null, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[-0.09 0.01 0.11 0.21 0.31 0.41 0.51 0.61 0.71 0.81]\n", - "[-0.9 0.1 1.1 2.1 3.1 4.1 5.1 6.1 7.1 8.1] [0.922, 0.931, 0.965, 0.945, 0.949, 0.945, 0.948, 0.927, 0.959, 0.957]\n" + "[-0.09 0.01 0.11 0.21 0.31 0.41 0.51 0.61 0.71 0.81]\n" + ] + }, + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_28883/3508961853.py:14: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_28883/3508961853.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_28883/3508961853.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" + ] + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[-0.9 0.1 1.1 2.1 3.1 4.1 5.1 6.1 7.1 8.1] [0.925, 0.937, 0.957, 0.947, 0.946, 0.942, 0.949, 0.944, 0.952, 0.952]\n" ] }, { "data": { - "image/png": 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", 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", "text/plain": [ "
" ] @@ -343,7 +501,7 @@ " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", " for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_bivariate(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP, \"percentage_change\")\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", @@ -367,19 +525,31 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": null, "metadata": {}, "outputs": [ + { + "name": "stderr", + "output_type": "stream", + "text": [ + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_28883/3515000061.py:15: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_28883/3515000061.py:16: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", + "/var/folders/55/53rfb8cd7bd3rvs9lvgv5zyw0000gn/T/ipykernel_28883/3515000061.py:17: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)\n", + " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n" + ] + }, { "name": "stdout", "output_type": "stream", "text": [ - "[0.949, 0.943, 0.946, 0.952, 0.949, 0.944, 0.953, 0.948, 0.952, 0.939, 0.95, 0.945, 0.955, 0.944, 0.953, 0.951, 0.953, 0.952, 0.95, 0.954, 0.948]\n" + "[0.947, 0.945, 0.965, 0.955, 0.952, 0.951, 0.948, 0.956, 0.951, 0.96, 0.963, 0.961, 0.952, 0.944, 0.967, 0.949, 0.948, 0.951, 0.943, 0.949, 0.955]\n" ] }, { "data": { - "image/png": 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27EFQUBCkUqm6jr29PTp27Ij333+/3P2VJXVlHk0WACA6Ohru7u7YuXOnxvJH74S0s7NDSUkJcnJyNBKwjIwMjXpNmjSBVCrF+PHjK/xXubu7e7nlZQYPHoxmzZphy5YtGDx4MLZs2QIfHx94enpq1Js8eTImT56Me/fu4ddff0VISAiGDx+OS5cuwdXVtdxt29nZIT4+Xqv80eMoU16b2dnZ4fTp0xBCaCzPzMxESUmJ+nOUyWQAtNuyssQjIyMDzZs3V78vKSlBdnZ2uT/wNa28NsjIyFDvu+y/FZ3DJiYmaNKkidb6jzseCwuLcu+8fVyClpeXhx9//BEhISFYtGiRurxsHGN1lZ3rt27d0kjAhBDIyMhA9+7dq73tmlIW119//aXVk/6o8s5he3t7yOXyCm8MKDuHd+/ejXv37mHXrl0af1NJSUla63To0AExMTEQQuD8+fPYunUrwsLCIJfLsWjRItjb20MikeDYsWMaY+bKlFdGdQd7vkjvyu4M+/bbbyv919vAgQNx+PBhrbuWtm/fjkaNGqFnz57qMg8PD/j4+GDLli3YsWMHCgsL1YPNywwfPhzJyclo3bo1unXrpvV6NPkqj0Qigbm5ucYXdEZGhtbdjv379wcA7Ny5U6M8JiZG432jRo3g5+eHxMREdOzYsdy4HpdIlCVvu3fvxrFjx3D27FmNy62PsrS0xNChQ7F48WIUFRXh4sWLFdbt378/7ty5g//973+VHkdlBg4ciLt372L37t0a5du3b1cvBx70pslkMpw/f16jXnl3kpb56quvNN5/8803KCkpwYABA6ocX3V9/fXXEEKo31+/fh1xcXHqfbdr1w7NmzfHjh07NOrdu3cP3333nfoOyIdV5Xjc3Ny02ujw4cO4e/dupfFKJBIIIbR+tDdt2gSVSqVR9mjPUWXKPr/o6GiN8u+++w737t1TLzckf39/SKVSREREVGv94cOH48qVK7Czsyv3b7Ts7s+y74WH21gIgcjIyAq3LZFI0KlTJ6xduxaNGzfGuXPn1PsUQuDmzZvl7rNDhw7VOhYyDuz5IoNYs2YN+vTpAx8fHyxatAht2rTBP//8gz179uCLL76AtbU1QkJC1OO03n33Xdja2uKrr77CTz/9hA8//BAKhUJjm1OmTMH06dPx999/w9fXF+3atdNYHhYWhtjYWPj6+mLu3Llo164dCgoKkJaWhn379uHzzz9/7GWJ4cOHY9euXZg1axb+85//4MaNG3jvvffg7OyMy5cvq+sNGTIEvXv3xvz585Gfnw9vb2+cPHlSnXA8PAbo448/Rp8+fdC3b1/MnDlTPfv6n3/+ib1792rcsVWRKVOmYOXKlXjllVcgl8u17kZ89dVXIZfL0bt3bzg7OyMjIwPh4eFQKBSV9kxMnDgRa9euRWBgIJYvX442bdrgf//7n3p+rIePoyITJkzA+vXrMXHiRKSlpaFDhw44fvw4VqxYgeeeew7PPvssAKjHt0RFRaF169bo1KkT4uPjsWPHjgq3vWvXLpiammLQoEHquwM7deqkNdauNmRmZuKFF17Aq6++iry8PISEhEAmkyE4OBjAg7b58MMPMW7cOAwfPhzTp09HYWEhVq1ahdzcXHzwwQfVOp7x48dj6dKlePfdd9G/f3+kpKTgs88+0/p7eJSNjQ369euHVatWwd7eHm5ubjh69Cg2b96Mxo0ba9T18vICAGzcuBHW1taQyWRwd3cv9x8CgwYNwuDBg7Fw4ULk5+ejd+/e6rsdu3TpgvHjx+vatDXOzc0N77zzDt577z38+++/GDt2LBQKBVJSUpCVlYXQ0NBK1w8KCsJ3332Hfv364c0330THjh1RWlqK9PR0HDx4EPPnz4ePjw8GDRoEc3NzjB07FgsWLEBBQQEiIiK0Li//+OOP2LBhA0aOHIlWrVpBCIFdu3YhNzcXgwYNAgD07t0br732GiZPnoyzZ8+iX79+sLS0hFKpxPHjx9GhQwfMnDmz1tqMapmBBvoTiZSUFPHSSy8JOzs7YW5uLlq2bCkmTZokCgoK1HUuXLggAgIChEKhEObm5qJTp07l3g0nhBB5eXlCLpcLACIyMrLcOrdu3RJz584V7u7uwszMTNja2gpvb2+xePFicffuXSHE/911t2rVqnK38cEHHwg3NzdhYWEhPDw8RGRkpPputYfl5OSIyZMni8aNG4tGjRqJQYMGiVOnTgkAGneWle1zypQponnz5sLMzEw0bdpU+Pr6iuXLl1e1OYWvr68AUO4dXdu2bRN+fn7C0dFRmJubi2bNmomXX35ZnD9//rHbTU9PFy+++KKwsrIS1tbWYtSoUWLfvn0CgPjhhx/U9SZOnCgsLS3L3UZ2draYMWOGcHZ2FqampsLV1VUEBwdrfNZCPPgMp02bJhwdHYWlpaUICAgQaWlpFd7tmJCQIAICAtSxjR07Vvzzzz9VbLEHXF1dxbBhw6pcv+wuwi+//FLMnTtXNG3aVFhYWIi+ffuKs2fPatXfvXu38PHxETKZTFhaWoqBAweKEydOaNTR5XgKCwvFggULRIsWLYRcLhf9+/cXSUlJVbrb8a+//hKjRo0STZo0EdbW1mLIkCEiOTlZa10hhFi3bp1wd3cXUqlU4y7UR+92FOLBHYsLFy4Urq6uwszMTDg7O4uZM2eK27dva9SrqK379+8v+vfvX257P+zR86DsbsdH70Ks6E7P7du3i+7duwuZTCasrKxEly5dNL5P+vfvL55++uly93337l2xZMkS0a5dO2Fubi4UCoXo0KGDePPNN0VGRoa63t69e0WnTp2ETCYTzZs3F2+//bb43//+pxHPH3/8IcaOHStat24t5HK5UCgUokePHmLr1q1a+42KihI+Pj7C0tJSyOVy0bp1azFhwoRyzzWqOyRCPNQfTkS1qmzepxMnTsDX19fQ4VTbihUrsGTJEqSnp+t9xnHgwaSkoaGhuHXrlsbYP3345Zdf4Ofnh2+//VbrDs7qMuTxEJH+8bIjUS35+uuvcfPmTXTo0AEmJiY4deoUVq1ahX79+tWpxOuzzz4DALRv3x7FxcU4fPgwPvnkEwQGBhok8SIiquuYfBHVEmtra8TExGD58uW4d+8enJ2dMWnSJCxfvtzQoemkUaNGWLt2LdLS0lBYWIiWLVti4cKFWLJkiaFDIyKqk3jZkYiIiEiPONUEERERkR4x+SIiIiLSIyZfRERERHrEAffVVFpair///hvW1tblPo6CiIiIjI8QAnfu3EGzZs2qNFF0bWDyVU1///33Y58RRkRERMbpxo0bBpsuh8lXNVlbWwN48OHZ2NgYOBoiIiKqivz8fLRo0UL9O24ITL6qqexSo42NDZMvIiKiOsaQQ4Y44J6IiIhIj5h8EREREekRky8iIiIiPWLyRURERKRHTL6IiIiI9IjJFxEREZEeMfkiIiIi0iMmX0RERER6xOSLiIiISI84wz0RUR2nKhWIv5aDzDsFcLCWoYe7LaQmhpu9m4gqx+SLiKgO25+sROjeFCjzCtRlzgoZQgI8McTL2YCREVFFeNmRiKiO2p+sxMzocxqJFwBk5BVgZvQ57E9WGigyIqoMky8iojpIVSoQujcFopxlZWWhe1OgKi2vBhEZEpMvIqI6KP5ajlaP18MEAGVeAeKv5egvKCKqEiZfRER1UOadihOv6tQjIv1h8kVEVAc5WMtqtB4R6Q+TLyKiOqiHuy2cFTJUNKGEBA/ueuzhbqvPsIioCph8ERHVQVITCUICPAFAKwErex8S4Mn5voiMEJMvIqI6aoiXMyICu8JJoXlp0UkhQ0RgV87zRWSkOMkqEVEdNsTLGYM8nTjDPVEdwuSLiKiOk5pI0Ku1naHDIKIq4mVHIiIiIj1i8kVERESkR0y+iIiIiPSIyRcRERGRHjH5IiIiItIjJl9EREREesTki4iIiEiPmHwRERER6RGTLyIiIiI94gz3REREpDNVqeBjrarJ4D1fGzZsgLu7O2QyGby9vXHs2LFK669fvx4eHh6Qy+Vo164dtm/frrF869atkEgkWq+CgoJytxceHg6JRIKgoKCaOiQiIqJ6bX+yEn1WHsbYyFN4IyYJYyNPoc/Kw9ifrDR0aHWCQZOvnTt3IigoCIsXL0ZiYiL69u2LoUOHIj09vdz6ERERCA4OxrJly3Dx4kWEhoZi9uzZ2Lt3r0Y9GxsbKJVKjZdMJtPa3pkzZ7Bx40Z07NixVo6PiIiovtmfrMTM6HNQ5ml2amTkFWBm9DkmYFVg0ORrzZo1mDp1KqZNmwYPDw+sW7cOLVq0QERERLn1v/zyS0yfPh2jR49Gq1atMGbMGEydOhUrV67UqCeRSODk5KTxetTdu3cxbtw4REZGokmTJrVyfERERPWJqlQgdG8KRDnLyspC96ZAVVpeDSpjsOSrqKgICQkJ8Pf31yj39/dHXFxcuesUFhZq9WDJ5XLEx8ejuLhYXXb37l24urrCxcUFw4cPR2Jiota2Zs+ejWHDhuHZZ5+tUryFhYXIz8/XeBERETUk8ddytHq8HiYAKPMKEH8tR39B1UEGS76ysrKgUqng6OioUe7o6IiMjIxy1xk8eDA2bdqEhIQECCFw9uxZREVFobi4GFlZWQCA9u3bY+vWrdizZw++/vpryGQy9O7dG5cvX1ZvJyYmBufOnUN4eHiV4w0PD4dCoVC/WrRoUY2jJiIiqrsy71SceFWnXkNl8AH3EonmnRFCCK2yMkuXLsXQoUPRs2dPmJmZYcSIEZg0aRIAQCqVAgB69uyJwMBAdOrUCX379sU333yDp556Cp9++ikA4MaNG3jjjTcQHR1d7jiwigQHByMvL0/9unHjRjWOloiIqO5ysK7a72ZV6zVUBku+7O3tIZVKtXq5MjMztXrDysjlckRFReH+/ftIS0tDeno63NzcYG1tDXt7+3LXMTExQffu3dU9XwkJCcjMzIS3tzdMTU1hamqKo0eP4pNPPoGpqSlUKlW527GwsICNjY3Gi4iIqCHp4W4LZ4UMFU0oIQHgrHgw7QRVzGDJl7m5Oby9vREbG6tRHhsbC19f30rXNTMzg4uLC6RSKWJiYjB8+HCYmJR/KEIIJCUlwdnZGQAwcOBAXLhwAUlJSepXt27dMG7cOCQlJal70IiIiEiT1ESCkABPANBKwMrehwR4cr6vxzDoJKvz5s3D+PHj0a1bN/Tq1QsbN25Eeno6ZsyYAeDBpb6bN2+q5/K6dOkS4uPj4ePjg9u3b2PNmjVITk7Gtm3b1NsMDQ1Fz5490bZtW+Tn5+OTTz5BUlIS1q9fDwCwtraGl5eXRhyWlpaws7PTKiciIiJNQ7ycERHYFaF7UzQG3zspZAgJ8MQQL2cDRlc3GDT5Gj16NLKzsxEWFgalUgkvLy/s27cPrq6uAAClUqkx55dKpcLq1auRmpoKMzMz+Pn5IS4uDm5ubuo6ubm5eO2115CRkQGFQoEuXbrg119/RY8ePfR9eERERPXSEC9nDPJ04gz31SQRQnAyjmrIz8+HQqFAXl4ex38RERHVEcbw+23wux2JiIiIGhImX0RERER6xOSLiIiISI+YfBERERHpEZMvIiIiIj1i8kVERESkR0y+iIiIiPSIyRcRERGRHjH5IiIiItIjgz5eiIiqTlUq+CgPqjfq4vlcF2Mm48Tki6gO2J+s1HqIrTMfYkt1VF08n+tizGS8eNmRyMjtT1ZiZvQ5jS99AMjIK8DM6HPYn6w0UGREuquL53NdjJmMG5MvIiOmKhUI3ZsCUc6ysrLQvSlQlZZXg8i41MXzuS7GTMaPyReREYu/lqP1r+2HCQDKvALEX8vRX1BE1VQXz+e6GDMZPyZfREYs807FX/rVqUdkSHXxfK6LMZPxY/JFZMQcrGU1Wo/IkOri+VwXYybjx+SLyIj1cLeFs0KGim5ml+DBHVc93G31GRZRtdTF87kuxkzGj8kXkRGTmkgQEuAJAFpf/mXvQwI8OdcQ1Ql18XyuizGT8WPyRWTkhng5IyKwK5wUmpc1nBQyRAR25RxDVKfUxfO5LsZMxk0ihOD9sdWQn58PhUKBvLw82NjYGDocagA4uzbVJ3XxfK6LMZM2Y/j95gz3RHWE1ESCXq3tDB0GUY2oi+dzXYyZjBMvOxIRERHpEZMvIiIiIj1i8kVERESkR0y+iIiIiPSIyRcRERGRHjH5IiIiItIjJl9EREREesTki4iIiEiPmHwRERER6RFnuCejxUd51H38DImqhn8rDYvBe742bNgAd3d3yGQyeHt749ixY5XWX79+PTw8PCCXy9GuXTts375dY/nWrVshkUi0XgUFBeo64eHh6N69O6ytreHg4ICRI0ciNTW1Vo6Pqmd/shJ9Vh7G2MhTeCMmCWMjT6HPysPYn6w0dGhURfwMiaqGfysNj0GTr507dyIoKAiLFy9GYmIi+vbti6FDhyI9Pb3c+hEREQgODsayZctw8eJFhIaGYvbs2di7d69GPRsbGyiVSo2XTPZ/T6M/evQoZs+ejVOnTiE2NhYlJSXw9/fHvXv3avV4qWr2JysxM/oclHkFGuUZeQWYGX2OX0h1AD9Doqrh30rDJBFCCEPt3MfHB127dkVERIS6zMPDAyNHjkR4eLhWfV9fX/Tu3RurVq1SlwUFBeHs2bM4fvw4gAc9X0FBQcjNza1yHLdu3YKDgwOOHj2Kfv36VWkdY3gqen2kKhXos/Kw1hdRGQkAJ4UMxxc+wy55I8XPkKhq+LdiGMbw+22wnq+ioiIkJCTA399fo9zf3x9xcXHlrlNYWKjRgwUAcrkc8fHxKC4uVpfdvXsXrq6ucHFxwfDhw5GYmFhpLHl5eQAAW1vbCusUFhYiPz9f40U1L/5aToVfRAAgACjzChB/LUd/QZFO+BkSVQ3/VhougyVfWVlZUKlUcHR01Ch3dHRERkZGuesMHjwYmzZtQkJCAoQQOHv2LKKiolBcXIysrCwAQPv27bF161bs2bMHX3/9NWQyGXr37o3Lly+Xu00hBObNm4c+ffrAy8urwnjDw8OhUCjUrxYtWlTzyKkymXcq/iKqTj3SP36GRFXDv5WGy+AD7iUSza5UIYRWWZmlS5di6NCh6NmzJ8zMzDBixAhMmjQJACCVSgEAPXv2RGBgIDp16oS+ffvim2++wVNPPYVPP/203G3OmTMH58+fx9dff11pnMHBwcjLy1O/bty4oeORUlU4WMseX0mHeqR//AyJqoZ/Kw2XwZIve3t7SKVSrV6uzMxMrd6wMnK5HFFRUbh//z7S0tKQnp4ONzc3WFtbw97evtx1TExM0L1793J7vl5//XXs2bMHR44cgYuLS6XxWlhYwMbGRuNFNa+Huy2cFTJUNLpBAsBZ8eA2bDJO/AyJqoZ/Kw2XwZIvc3NzeHt7IzY2VqM8NjYWvr6+la5rZmYGFxcXSKVSxMTEYPjw4TAxKf9QhBBISkqCs7OzRtmcOXOwa9cuHD58GO7u7k9+QFQjpCYShAR4AoDWF1LZ+5AATw4+NWL8DImqhn8rDZdBLzvOmzcPmzZtQlRUFH7//Xe8+eabSE9Px4wZMwA8uNQ3YcIEdf1Lly4hOjoaly9fRnx8PMaMGYPk5GSsWLFCXSc0NBQHDhzA1atXkZSUhKlTpyIpKUm9TQCYPXs2oqOjsWPHDlhbWyMjIwMZGRn4999/9XfwVKEhXs6ICOwKJ4VmV7uTQoaIwK4Y4uVcwZpkLPgZElUN/1YaJoPOcD969GhkZ2cjLCwMSqUSXl5e2LdvH1xdXQEASqVSY84vlUqF1atXIzU1FWZmZvDz80NcXBzc3NzUdXJzc/Haa68hIyMDCoUCXbp0wa+//ooePXqo65RNbTFgwACNeLZs2aIeQ0aGNcTLGYM8nTjjcx3Gz5Coavi30vAYdJ6vuswY5gkhIiIi3RjD77fB73YkIiIiakiYfBERERHpEZMvIiIiIj1i8kVERESkR0y+iIiIiPSIyRcRERGRHjH5IiIiItIjJl9EREREesTki4iIiEiPDPp4ISIiopqmKhV8VA8ZNSZfRERUb+xPViJ0bwqUeQXqMmeFDCEBnnxINRkNXnYkIqJ6YX+yEjOjz2kkXgCQkVeAmdHnsD9ZaaDIiDQx+SIiojpPVSoQujcFopxlZWWhe1OgKi2vBpF+MfkiIqI6L/5ajlaP18MEAGVeAeKv5egvKKIKMPkiIqI6L/NOxYlXdeoR1SYmX0REVOc5WMtqtB5RbWLyRUREdV4Pd1s4K2SoaEIJCR7c9djD3VafYRGVi8kXERHVeVITCUICPAFAKwErex8S4Mn5vsgoMPkiIqJ6YYiXMyICu8JJoXlp0UkhQ0RgV87zRUaDk6wSEVG9McTLGYM8nTjDPRk1Jl9ERFSvSE0k6NXaztBhEFWIlx2JiIiI9IjJFxEREZEeMfkiIiIi0iMmX0RERER6VK3kKzc3F5s2bUJwcDBych48J+vcuXO4efNmjQZHREREVN/ofLfj+fPn8eyzz0KhUCAtLQ2vvvoqbG1t8f333+P69evYvn17bcRJREREVC/o3PM1b948TJo0CZcvX4ZM9n8T2Q0dOhS//vprjQZHREREVN/onHydOXMG06dP1ypv3rw5MjIyaiQoIiIiovpK5+RLJpMhPz9fqzw1NRVNmzatkaCIiIiI6iudk68RI0YgLCwMxcXFAACJRIL09HQsWrQIo0aNqvEAiYj0SVUqcPJKNn5IuomTV7KhKhWGDonoifCcNj46J18fffQRbt26BQcHB/z777/o378/2rRpA2tra7z//vs6B7Bhwwa4u7tDJpPB29sbx44dq7T++vXr4eHhAblcjnbt2mkN8N+6dSskEonWq6Cg4In2S0T13/5kJfqsPIyxkafwRkwSxkaeQp+Vh7E/WWno0Iiqhee0cdL5bkcbGxscP34chw8fxrlz51BaWoquXbvi2Wef1XnnO3fuRFBQEDZs2IDevXvjiy++wNChQ5GSkoKWLVtq1Y+IiEBwcDAiIyPRvXt3xMfH49VXX0WTJk0QEBCgEWNqaqrGug/fHKDrfomo/tufrMTM6HN4tE8gI68AM6PPISKwK4Z4ORskNqLq4DltvCRCCIP1P/r4+KBr166IiIhQl3l4eGDkyJEIDw/Xqu/r64vevXtj1apV6rKgoCCcPXsWx48fB/Cg5ysoKAi5ubk1tt/y5OfnQ6FQIC8vDzY2NlVah4iMk6pUoM/Kw1DmFZS7XALASSHD8YXPQGoi0W9wRNXAc7pixvD7rXPP1yeffFJuuUQigUwmQ5s2bdCvXz9IpdJKt1NUVISEhAQsWrRIo9zf3x9xcXHlrlNYWKjRgwUAcrkc8fHxKC4uhpmZGQDg7t27cHV1hUqlQufOnfHee++hS5cu1d5v2b4LCwvV78u76YCI6qb4azkV/kgBgACgzCtA/LUc9Gptp7/AiKqJ57Rx0zn5Wrt2LW7duoX79++jSZMmEEIgNzcXjRo1gpWVFTIzM9GqVSscOXIELVq0qHA7WVlZUKlUcHR01Ch3dHSscMqKwYMHY9OmTRg5ciS6du2KhIQEREVFobi4GFlZWXB2dkb79u2xdetWdOjQAfn5+fj444/Ru3dv/Pbbb2jbtm219gsA4eHhCA0N1aGliKiuyLxT8Y9UdeoRGRrPaeOm84D7FStWoHv37rh8+TKys7ORk5ODS5cuwcfHBx9//DHS09Ph5OSEN998s0rbk0g0uzuFEFplZZYuXYqhQ4eiZ8+eMDMzw4gRIzBp0iQAUPe09ezZE4GBgejUqRP69u2Lb775Bk899RQ+/fTTau8XAIKDg5GXl6d+3bhxo0rHR0TGz8Fa9vhKOtQjMjSe08ZN5+RryZIlWLt2LVq3bq0ua9OmDT766CMEBwfDxcUFH374IU6cOFHpduzt7SGVSrV6mzIzM7V6pcrI5XJERUXh/v37SEtLQ3p6Otzc3GBtbQ17e/ty1zExMVEni9XdLwBYWFjAxsZG40VE9UMPd1s4K2So6J9fEgDOChl6uNvqMyyiauM5bdx0Tr6USiVKSkq0yktKStQJTbNmzXDnzp1Kt2Nubg5vb2/ExsZqlMfGxsLX17fSdc3MzODi4gKpVIqYmBgMHz4cJiblH4oQAklJSXB2dn7i/RJR/SQ1kSAkwBMAtH6syt6HBHg2uIHJVHfxnDZuOidffn5+mD59OhITE9VliYmJmDlzJp555hkAwIULF+Du7v7Ybc2bNw+bNm1CVFQUfv/9d7z55ptIT0/HjBkzADy41DdhwgR1/UuXLiE6OhqXL19GfHw8xowZg+TkZKxYsUJdJzQ0FAcOHMDVq1eRlJSEqVOnIikpSb3NquyXiBqeIV7OiAjsCieF5mUYJ4WMt+RTncRz2njpPOB+8+bNGD9+PLy9vdV3F5aUlGDgwIHYvHkzAMDKygqrV69+7LZGjx6N7OxshIWFQalUwsvLC/v27YOrqyuAB71s6enp6voqlQqrV69GamoqzMzM4Ofnh7i4OLi5uanr5Obm4rXXXkNGRgYUCgW6dOmCX3/9FT169KjyfomoYRri5YxBnk6Iv5aDzDsFcLB+cFmGvQNUV/GcNk7Vnufrjz/+wKVLlyCEQPv27dGuXbuajs2oGcM8IURERKQbY/j91rnnq0z79u3Rvn37moyFiIiIqN6rVvL1119/Yc+ePUhPT0dRUZHGsjVr1tRIYERERET1kc7J16FDh/D888/D3d0dqamp8PLyQlpaGoQQ6Nq1a23ESERERFRv6Hy3Y3BwMObPn4/k5GTIZDJ89913uHHjBvr374+XXnqpNmIkIiIiqjd0Tr5+//13TJw4EQBgamqKf//9F1ZWVggLC8PKlStrPEAiIiKi+kTn5MvS0lL9gOlmzZrhypUr6mVZWVk1FxkRERFRPaTzmK+ePXvixIkT8PT0xLBhwzB//nxcuHABu3btQs+ePWsjRiIiIqJ6Q+fka82aNbh79y4AYNmyZbh79y527tyJNm3aYO3atTUeIBEREVF9Uu1JVhs6Y5ikjYiIiHRjDL/fOo/5atWqFbKzs7XKc3Nz0apVqxoJqiFTlQqcvJKNH5Ju4uSVbKhKmRvXBrYzEREZis6XHdPS0qBSqbTKCwsLcfPmzRoJqqHan6xE6N4UKPMK1GXOChlCAjz5ANQaxHYmIiJDqnLytWfPHvX/HzhwAAqFQv1epVLh0KFDGg+4Jt3sT1ZiZvQ5PNr/kpFXgJnR5/gE+hrCdiYiIkOr8pgvE5MHVyglEgkeXcXMzAxubm5YvXo1hg8fXvNRGqGavGasKhXos/KwRk/MwyQAnBQyHF/4DJ9E/wTYzkREZAxjvqrc81VaWgoAcHd3x5kzZ2Bvb19rQTU08ddyKkwIAEAAUOYVIP5aDnq1ttNfYPUM25mIiIyBzmO+rl27VhtxNGiZdypOCKpTj8rHdiYiImOgc/IFPHi49qFDh5CZmanuESsTFRVVI4E1JA7WshqtR+VjOxMRkTHQeaqJ0NBQ+Pv749ChQ8jKysLt27c1XqS7Hu62cFbIUNEoIwke3I3Xw91Wn2HVO2xnIiIyBjr3fH3++efYunUrxo8fXxvxNEhSEwlCAjwxM/ocJIDGnXhliUJIgCcHgT8htjMRERkDnXu+ioqK4OvrWxuxNGhDvJwREdgVTgrNS15OChmnP6hBbGciIjI0nR8vtHDhQlhZWWHp0qW1FVOdUFu3qqpKBeKv5SDzTgEcrB9cAmNPTM1jOxMRNUx1aqqJMgUFBdi4cSN+/vlndOzYEWZmZhrL16xZU2PBNURSEwmnOdADtjMRERmKzsnX+fPn0blzZwBAcnKyxjKJhD0HRERERJXROfk6cuRIbcRBRERE1CDoPOC+zJ9//okDBw7g33//BQCtRw4RERERkTadk6/s7GwMHDgQTz31FJ577jkolUoAwLRp0zB//vwaD5CIiIioPtE5+XrzzTdhZmaG9PR0NGrUSF0+evRo7N+/v0aDIyIiIqpvdB7zdfDgQRw4cAAuLi4a5W3btsX169drLDAiIiKi+kjnnq979+5p9HiVycrKgoWFRY0ERURERFRf6Zx89evXD9u3b1e/l0gkKC0txapVq+Dn51ejwRERERHVNzpfdly1ahUGDBiAs2fPoqioCAsWLMDFixeRk5ODEydO1EaMRERERPWGzsmXp6cnzp8/j4iICEilUty7dw8vvvgiZs+eDWdnPhePqC7i45aIyJjU9+8knZ/tWNM2bNiAVatWQalU4umnn8a6devQt2/fCuuvX78en332GdLS0tCyZUssXrwYEyZMKLduTEwMxo4dixEjRmD37t3q8pKSEixbtgxfffUVMjIy4OzsjEmTJmHJkiUwManalVhjeDYUUU3Yn6xE6N4UKPMK1GXOChlCAjz5oHEi0rva/k4yht9vncd8bdmyBd9++61W+bfffott27bptK2dO3ciKCgIixcvRmJiIvr27YuhQ4ciPT293PoREREIDg7GsmXLcPHiRYSGhmL27NnYu3evVt3r16/jrbfeKjeRW7lyJT7//HN89tln+P333/Hhhx9i1apV+PTTT3WKn6iu25+sxMzocxpfcgCQkVeAmdHnsD9ZaaDIiKghaijfSTr3fLVr1w6ff/651uD6o0eP4rXXXkNqamqVt+Xj44OuXbsiIiJCXebh4YGRI0ciPDxcq76vry969+6NVatWqcuCgoJw9uxZHD9+XF2mUqnQv39/TJ48GceOHUNubq5Gz9fw4cPh6OiIzZs3q8tGjRqFRo0a4csvv6xS7MaQORM9CVWpQJ+Vh7W+5MpIADgpZDi+8Jl61d1PRMZJX99JxvD7rXPP1/Xr1+Hu7q5V7urqWmGPVXmKioqQkJAAf39/jXJ/f3/ExcWVu05hYSFkMplGmVwuR3x8PIqLi9VlYWFhaNq0KaZOnVrudvr06YNDhw7h0qVLAIDffvsNx48fx3PPPVdhvIWFhcjPz9d4EdVl8ddyKvySAwABQJlXgPhrOfoLiogarIb0naRz8uXg4IDz589rlf/222+ws7Or8naysrKgUqng6OioUe7o6IiMjIxy1xk8eDA2bdqEhIQECCFw9uxZREVFobi4GFlZWQCAEydOYPPmzYiMjKxw3wsXLsTYsWPRvn17mJmZoUuXLggKCsLYsWMrXCc8PBwKhUL9atGiRZWPlcgYZd6p+EuuOvWIiJ5EQ/pO0jn5GjNmDObOnYsjR45ApVJBpVLh8OHDeOONNzBmzBidA5BINLsOhRBaZWWWLl2KoUOHomfPnjAzM8OIESMwadIkAIBUKsWdO3cQGBiIyMhI2NvbV7jPnTt3Ijo6Gjt27MC5c+ewbds2fPTRR5WOWQsODkZeXp76dePGDZ2PlciYOFjLHl9Jh3pERE+iIX0n6TzVxPLly3H9+nUMHDgQpqYPVi8tLcWECROwYsWKKm/H3t4eUqlUq5crMzNTqzesjFwuR1RUFL744gv8888/cHZ2xsaNG2FtbQ17e3ucP38eaWlpCAgIUK9TWlr64EBNTZGamorWrVvj7bffxqJFi9TJYocOHXD9+nWEh4dj4sSJ5e7bwsKCM/hTvdLD3RbOChky8gpQ3sDPsvEVPdxt9R0aETVADek7SaeeLyEElEoltmzZgtTUVHz11VfYtWsXrly5gqioKJibm1d5W+bm5vD29kZsbKxGeWxsLHx9fStd18zMDC4uLpBKpYiJicHw4cNhYmKC9u3b48KFC0hKSlK/nn/+efj5+SEpKUl9qfD+/ftaU0pIpVJ1okbUEEhNJAgJ8ATw4EvtYWXvQwI8OdieiPSiIX0n6dTzJYRA27ZtcfHiRbRt2xZt27Z9op3PmzcP48ePR7du3dCrVy9s3LgR6enpmDFjBoAHl/pu3rypfpzRpUuXEB8fDx8fH9y+fRtr1qxBcnKy+nKhTCaDl5eXxj4aN24MABrlAQEBeP/999GyZUs8/fTTSExMxJo1azBlypQnOh6iumaIlzMiArtqzanjxHm+iMgAGsp3kk7Jl4mJCdq2bYvs7OwnTrwAYPTo0cjOzkZYWBiUSiW8vLywb98+uLq6AgCUSqXGHZQqlQqrV69GamoqzMzM4Ofnh7i4OLi5uem0308//RRLly7FrFmzkJmZiWbNmmH69Ol49913n/iYiOqaIV7OGOTpVK9nkyaiuqMhfCfpPM/XTz/9hA8++AARERFavUwNiTHME0JERES6MYbfb52TryZNmuD+/fsoKSmBubk55HK5xvKcnLo//0ZVGMOHR0RERLoxht9vne92XLduXS2EQURERNQw6Jx8VTQVAxERERE9ns6TrALAlStXsGTJEowdOxaZmZkAgP379+PixYs1GhwRERFRfaNz8nX06FF06NABp0+fxq5du3D37l0AwPnz5xESElLjARIRERHVJzonX4sWLcLy5csRGxurMamqn58fTp48WaPBEREREdU3OidfFy5cwAsvvKBV3rRpU2RnZ9dIUERERET1lc7JV+PGjaFUKrXKExMT0bx58xoJioiIiKi+0jn5euWVV7Bw4UJkZGRAIpGgtLQUJ06cwFtvvYUJEybURoxERERE9YbOyVfZMxGbN2+Ou3fvwtPTE/369YOvry+WLFlSGzESERER1Rs6z3Bf5sqVK0hMTERpaSm6dOlSI896rEuMYYZcIiIi0o0x/H7rPMlqmdatW6NVq1YAAImk/jzskoiIiKg2VWuS1c2bN8PLywsymQwymQxeXl7YtGlTTcdGREREVO/o3PO1dOlSrF27Fq+//jp69eoFADh58iTefPNNpKWlYfny5TUeJBEREVF9ofOYL3t7e3z66acYO3asRvnXX3+N119/HVlZWTUaoLEyhmvGREREpBtj+P3W+bKjSqVCt27dtMq9vb1RUlJSI0ERERER1Vc6J1+BgYGIiIjQKt+4cSPGjRtXI0ERERER1VfVuttx8+bNOHjwIHr27AkAOHXqFG7cuIEJEyZg3rx56npr1qypmSiJiIiI6gmdk6/k5GR07doVwIO5voAHz3Vs2rQpkpOT1fU4/QQRERGRNp2TryNHjtRGHEREREQNQrXm+SIiIiKi6mHyRURERKRHTL6IiIiI9IjJFxEREZEeMfkiIiIi0qNqJV9ffvklevfujWbNmuH69esAgHXr1uGHH36o0eCIiIiI6hudk6+IiAjMmzcPzz33HHJzc6FSqQAAjRs3xrp162o6PiIiIqJ6Refk69NPP0VkZCQWL14MqVSqLu/WrRsuXLhQo8ERERER1Tc6J1/Xrl1Dly5dtMotLCxw7969GgmKiIiIqL7SOflyd3dHUlKSVvn//vc/eHp61kRMRERERPWWzo8XevvttzF79mwUFBRACIH4+Hh8/fXXCA8Px6ZNm2ojRjJyqlKB+Gs5yLxTAAdrGXq420Jqwmd7EhERlUfnnq/JkycjJCQECxYswP379/HKK6/g888/x8cff4wxY8boHMCGDRvg7u4OmUwGb29vHDt2rNL669evh4eHB+RyOdq1a4ft27dXWDcmJgYSiQQjR47UWnbz5k0EBgbCzs4OjRo1QufOnZGQkKBz/A3d/mQl+qw8jLGRp/BGTBLGRp5Cn5WHsT9ZaejQiIiIjJJECCGqu3JWVhZKS0vh4OBQrfV37tyJ8ePHY8OGDejduze++OILbNq0CSkpKWjZsqVW/YiICCxcuBCRkZHo3r074uPj8eqrr2LHjh0ICAjQqHv9+nX07t0brVq1gq2tLXbv3q1edvv2bXTp0gV+fn6YOXMmHBwccOXKFbi5uaF169ZVij0/Px8KhQJ5eXmwsbGp1vHXdfuTlZgZfQ6PnkBlfV4RgV0xxMtZ32ERERFVyBh+v58o+XpSPj4+6Nq1KyIiItRlHh4eGDlyJMLDw7Xq+/r6onfv3li1apW6LCgoCGfPnsXx48fVZSqVCv3798fkyZNx7Ngx5ObmaiRfixYtwokTJx7by1YZY/jwDElVKtBn5WEo8wrKXS4B4KSQ4fjCZ3gJkoiIjIYx/H7rPOarS5cukEi0f0wlEglkMhnatGmDSZMmwc/Pr9LtFBUVISEhAYsWLdIo9/f3R1xcXLnrFBYWQiaTaZTJ5XLEx8ejuLgYZmZmAICwsDA0bdoUU6dOLTfB2rNnDwYPHoyXXnoJR48eRfPmzTFr1iy8+uqrFcZbWFiIwsJC9fv8/PxKj6++i7+WU2HiBQACgDKvAPHXctCrtZ3+AiMiIjJyOo/5GjJkCK5evQpLS0v4+flhwIABsLKywpUrV9C9e3colUo8++yzj53tPisrCyqVCo6Ojhrljo6OyMjIKHedwYMHY9OmTUhISIAQAmfPnkVUVBSKi4uRlZUFADhx4gQ2b96MyMjICvd99epVREREoG3btjhw4ABmzJiBuXPnVjp+LDw8HAqFQv1q0aJFpcdX32XeqTjxqk49IiKihkLnnq+srCzMnz8fS5cu1Shfvnw5rl+/joMHDyIkJATvvfceRowY8djtPdqLJoQot2cNAJYuXYqMjAz07NkTQgg4Ojpi0qRJ+PDDDyGVSnHnzh0EBgYiMjIS9vb2Fe6ztLQU3bp1w4oVKwA86M27ePEiIiIiMGHChHLXCQ4Oxrx589Tv8/PzG3QC5mAte3wlHeoRERE1FDr3fH3zzTcYO3asVvmYMWPwzTffAADGjh2L1NTUSrdjb28PqVSq1cuVmZmp1RtWRi6XIyoqCvfv30daWhrS09Ph5uYGa2tr2Nvb48qVK0hLS0NAQABMTU1hamqK7du3Y8+ePTA1NcWVK1cAAM7Ozlpzknl4eCA9Pb3CeC0sLGBjY6Pxash6uNvCWSFDRaO5JACcFQ+mnSAiIqL/o3PyJZPJyh2TFRcXpx6PVVpaCgsLi0q3Y25uDm9vb8TGxmqUx8bGwtfXt9J1zczM4OLiAqlUipiYGAwfPhwmJiZo3749Lly4gKSkJPXr+eefh5+fH5KSktQ9Vb1799ZKDi9dugRXV9fHHj89IDWRICTgQQL7aAJW9j4kwJOD7YmIiB6h82XH119/HTNmzEBCQgK6d+8OiUSC+Ph4bNq0Ce+88w4A4MCBA+U+guhR8+bNw/jx49GtWzf06tULGzduRHp6OmbMmAHgwaW+mzdvqsdiXbp0CfHx8fDx8cHt27exZs0aJCcnY9u2bQAeJIZeXl4a+2jcuDEAaJS/+eab8PX1xYoVK/Dyyy8jPj4eGzduxMaNG3VtjgZtiJczIgK7InRvisbgeyeFDCEBnpxmgoiIqBw6J19LliyBu7s7PvvsM3z55ZcAgHbt2iEyMhKvvPIKAGDGjBmYOXPmY7c1evRoZGdnIywsDEqlEl5eXti3b5+6B0qpVGpcClSpVFi9ejVSU1NhZmYGPz8/xMXFwc3NTadj6N69O77//nsEBwcjLCwM7u7uWLduHcaNG6fTduhBAjbI04kz3BMREVWRQef5qsuMYZ4QIiIi0o0x/H7rPOaLiIiIiKpP58uOKpUKa9euxTfffIP09HQUFRVpLM/Jyamx4IiIiIjqG517vkJDQ7FmzRq8/PLLyMvLw7x58/Diiy/CxMQEy5Ytq4UQiYiIiOoPnZOvr776CpGRkXjrrbdgamqKsWPHYtOmTXj33Xdx6tSp2oiRiIiIqN7QOfnKyMhAhw4dAABWVlbIy8sDAAwfPhw//fRTzUZHREREVM/onHy5uLhAqVQCANq0aYODBw8CAM6cOfPYiVWJiIiIGjqdk68XXngBhw4dAgC88cYbWLp0Kdq2bYsJEyZgypQpNR4gERERUX3yxPN8nT59GidOnECbNm3w/PPP11RcRs8Y5gkhIiIi3RjD77dOU00UFxfjtddew9KlS9GqVSsAgI+PD3x8fGolOCIiIqL6RqfLjmZmZvj+++9rKxYionpNVSpw8ko2fki6iZNXsqEq5QNGiBoinSdZfeGFF7B7927MmzevNuIhIqqX9icrtR5C78yH0BM1SDonX23atMF7772HuLg4eHt7w9LSUmP53Llzayw4IqL6YH+yEjOjz+HRfq6MvALMjD6HiMCuTMCIGhCdB9y7u7tXvDGJBFevXn3ioOoCYxiwR0TGT1Uq0GflYY0er4dJADgpZDi+8BlITST6DY6oATKG32+de76uXbtWG3EQEdVL8ddyKky8AEAAUOYVIP5aDnq1ttNfYERkMDrP81WmqKgIqampKCkpqcl4iIjqlcw7FSde1alHRHWfzsnX/fv3MXXqVDRq1AhPP/000tPTATwY6/XBBx/UeIBERHWZg7WsRusRUd2nc/IVHByM3377Db/88gtksv/7snj22Wexc+fOGg2OiKiu6+FuC2eFDBWN5pLgwV2PPdxt9RkWERmQzsnX7t278dlnn6FPnz6QSP7v68TT0xNXrlyp0eCIiOo6qYkEIQGeAKCVgJW9Dwnw5GB7ogZE5+Tr1q1bcHBw0Cq/d++eRjJGREQPDPFyRkRgVzgpNC8tOilknGaCqAHS+W7H7t2746effsLrr78OAOqEKzIyEr169arZ6IiI6okhXs4Y5OmE+Gs5yLxTAAfrB5ca2eNF1PDonHyFh4djyJAhSElJQUlJCT7++GNcvHgRJ0+exNGjR2sjRiKiekFqIuF0EkSk+2VHX19fnDhxAvfv30fr1q1x8OBBODo64uTJk/D29q6NGImIiIjqDZ1nuKcHjGGGXCIiItKNMfx+69zz5efnh82bNyMvL6824iEiIiKq13ROvjp06IAlS5bAyckJo0aNwu7du1FUVFQbsRERERHVOzonX5988glu3ryJH374AdbW1pg4cSKcnJzw2muvccA9ERER0WM88ZivgoIC7N27F++//z4uXLgAlUpVU7EZNWO4ZkxERES6MYbfb52nmnhYRkYGYmJiEB0djfPnz6N79+41FRcRERFRvaTzZcf8/Hxs2bIFgwYNQosWLRAREYGAgABcunQJp0+fro0YiYiIiOoNnXu+HB0d0aRJE7z88stYsWIFe7uIiIiIdKBz8vXDDz/g2WefhYmJzp1mRPWeqlTw8TFUr/CcJqp5OmdQ/v7+MDExwa1bt3D8+HGcOHECt27dqnYAGzZsgLu7O2QyGby9vXHs2LFK669fvx4eHh6Qy+Vo164dtm/fXmHdmJgYSCQSjBw5ssI64eHhkEgkCAoKquYRED2wP1mJPisPY2zkKbwRk4SxkafQZ+Vh7E9WGjo0omrhOU1UO3ROvu7fv48pU6bA2dkZ/fr1Q9++fdGsWTNMnToV9+/f12lbO3fuRFBQEBYvXozExET07dsXQ4cORXp6ern1IyIiEBwcjGXLluHixYsIDQ3F7NmzsXfvXq26169fx1tvvYW+fftWuP8zZ85g48aN6Nixo05xEz1qf7ISM6PPQZlXoFGekVeAmdHn+GNFdQ7PaaLao3Py9eabb+Lo0aPYu3cvcnNzkZubix9++AFHjx7F/PnzddrWmjVrMHXqVEybNg0eHh5Yt26dehB/eb788ktMnz4do0ePRqtWrTBmzBhMnToVK1eu1KinUqkwbtw4hIaGolWrVuVu6+7duxg3bhwiIyPRpEkTneImepiqVCB0bwrKm7OlrCx0bwpUpXySF9UNPKeJapfOydd3332HzZs3Y+jQobCxsYGNjQ2ee+45REZG4r///W+Vt1NUVISEhAT4+/trlPv7+yMuLq7cdQoLCyGTyTTK5HI54uPjUVxcrC4LCwtD06ZNMXXq1Ar3P3v2bAwbNgzPPvtsleItLCxEfn6+xosIAOKv5Wj1DjxMAFDmFSD+Wo7+giJ6AjyniWpXtS47Ojo6apU7ODjodNkxKysLKpVKa1uOjo7IyMgod53Bgwdj06ZNSEhIgBACZ8+eRVRUFIqLi5GVlQUAOHHiBDZv3ozIyMgK9x0TE4Nz584hPDy8yvGGh4dDoVCoXy1atKjyulS/Zd6p+EeqOvWIDI3nNFHt0jn56tWrF0JCQlBQ8H9/dP/++y9CQ0PRq1cvnQOQSDTvmhFCaJWVWbp0KYYOHYqePXvCzMwMI0aMwKRJkwAAUqkUd+7cQWBgICIjI2Fvb1/uNm7cuIE33ngD0dHRWr1olQkODkZeXp76dePGjSqvS/Wbg3XVzqOq1iMyNJ7TRLVL56kmPv74YwwZMgQuLi7o1KkTJBIJkpKSIJPJcODAgSpvx97eHlKpVKuXKzMzs9yeNeDBJcaoqCh88cUX+Oeff+Ds7IyNGzfC2toa9vb2OH/+PNLS0hAQEKBep7S09MGBmpoiNTUVFy5cQGZmJry9vdV1VCoVfv31V3z22WcoLCyEVCrV2reFhQUsLCyqfHzUcPRwt4WzQoaMvIJyx8hIADgpHtyiT1QX8Jwmql06J19eXl64fPkyoqOj8ccff0AIgTFjxmDcuHGQy+VV3o65uTm8vb0RGxuLF154QV0eGxuLESNGVLqumZkZXFxcADy4hDh8+HCYmJigffv2uHDhgkbdJUuW4M6dO/j444/RokULODg4aNWZPHky2rdvj4ULF5abeBFVRmoiQUiAJ2ZGn4ME0PixKuvDDQnw5NxIVGfwnCaqXdV6tqNcLserr776xDufN28exo8fj27duqFXr17YuHEj0tPTMWPGDAAPLvXdvHlTPZfXpUuXEB8fDx8fH9y+fRtr1qxBcnIytm3bBgCQyWTw8vLS2Efjxo0BQF1ubm6uVcfS0hJ2dnZa5URVNcTLGRGBXRG6N0VjoLKTQoaQAE8M8XI2YHREuuM5TVR7dE6+wsPD4ejoiClTpmiUR0VF4datW1i4cGGVtzV69GhkZ2cjLCwMSqUSXl5e2LdvH1xdXQEASqVSY84vlUqF1atXIzU1FWZmZvDz80NcXBzc3Nx0PQyiGjfEyxmDPJ04GzjVGzyniWqHRAih00Qtbm5u2LFjB3x9fTXKT58+jTFjxuDatWs1GqCxys/Ph0KhQF5eHmxsbAwdDhEREVWBMfx+63y3Y0ZGBpydtbubmzZtCqWSMx4TERERVUbn5KtFixY4ceKEVvmJEyfQrFmzGgmKiIiIqL7SeczXtGnTEBQUhOLiYjzzzDMAgEOHDmHBggU6P16IiIiIqKHROflasGABcnJyMGvWLBQVFQF4cJfhwoULERwcXOMBEhEREdUnOg+4L3P37l38/vvvkMvlaNu2bYObgNQYBuwRERGRbozh97ta83wBgJWVFbp3716TsRARERHVezoPuCciIiKi6mPyRURERKRHTL6IiIiI9KjaY76oblGVCj4ihIiIyAgw+WoA9icrtR6O68yH4xIRERkELzvWc/uTlZgZfU4j8QKAjLwCzIw+h/3JfCQUERGRPjH5qsdUpQKhe1NQ3kRuZWWhe1OgKq3WVG9ERERUDUy+6rH4azlaPV4PEwCUeQWIv5ajv6CIiIgaOCZf9VjmnYoTr+rUIyIioifH5Ksec7CW1Wg9IiIienJMvuqxHu62cFbIUNGEEhI8uOuxh7utPsMiIiJq0Jh81WNSEwlCAjwBQCsBK3sfEuDJ+b6IiIj0iMlXPTfEyxkRgV3hpNC8tOikkCEisCvn+SIiItIzTrLaAAzxcsYgTyfOcE9ERGQEmHw1EFITCXq1tjN0GERERA0eLzsSERER6RGTLyIiIiI9YvJFREREpEdMvoiIiIj0iMkXERERkR4x+SIiIiLSIyZfRERERHrE5IuIiIhIj5h8EREREekRky8iIiIiPTJ48rVhwwa4u7tDJpPB29sbx44dq7T++vXr4eHhAblcjnbt2mH79u0V1o2JiYFEIsHIkSM1ysPDw9G9e3dYW1vDwcEBI0eORGpqak0cDhEREVGlDJp87dy5E0FBQVi8eDESExPRt29fDB06FOnp6eXWj4iIQHBwMJYtW4aLFy8iNDQUs2fPxt69e7XqXr9+HW+99Rb69u2rtezo0aOYPXs2Tp06hdjYWJSUlMDf3x/37t2r8WMkIiIiephECCEMtXMfHx907doVERER6jIPDw+MHDkS4eHhWvV9fX3Ru3dvrFq1Sl0WFBSEs2fP4vjx4+oylUqF/v37Y/LkyTh27Bhyc3Oxe/fuCuO4desWHBwccPToUfTr169Ksefn50OhUCAvLw82NjZVWoeIiIgMyxh+vw3W81VUVISEhAT4+/trlPv7+yMuLq7cdQoLCyGTyTTK5HI54uPjUVxcrC4LCwtD06ZNMXXq1CrFkpeXBwCwtbWtsE5hYSHy8/M1XkRERES6MljylZWVBZVKBUdHR41yR0dHZGRklLvO4MGDsWnTJiQkJEAIgbNnzyIqKgrFxcXIysoCAJw4cQKbN29GZGRkleIQQmDevHno06cPvLy8KqwXHh4OhUKhfrVo0aKKR0pERET0fww+4F4ikWi8F0JolZVZunQphg4dip49e8LMzAwjRozApEmTAABSqRR37txBYGAgIiMjYW9vX6X9z5kzB+fPn8fXX39dab3g4GDk5eWpXzdu3KjS9omIiIgeZmqoHdvb20MqlWr1cmVmZmr1hpWRy+WIiorCF198gX/++QfOzs7YuHEjrK2tYW9vj/PnzyMtLQ0BAQHqdUpLSwEApqamSE1NRevWrdXLXn/9dezZswe//vorXFxcKo3XwsICFhYW1T1cIiIiIgAG7PkyNzeHt7c3YmNjNcpjY2Ph6+tb6bpmZmZwcXGBVCpFTEwMhg8fDhMTE7Rv3x4XLlxAUlKS+vX888/Dz88PSUlJ6kuFQgjMmTMHu3btwuHDh+Hu7l5rx0lERET0MIP1fAHAvHnzMH78eHTr1g29evXCxo0bkZ6ejhkzZgB4cKnv5s2b6rm8Ll26hPj4ePj4+OD27dtYs2YNkpOTsW3bNgCATCbTGrfVuHFjANAonz17Nnbs2IEffvgB1tbW6t43hUIBuVxe24dNREREDZhBk6/Ro0cjOzsbYWFhUCqV8PLywr59++Dq6goAUCqVGnN+qVQqrF69GqmpqTAzM4Ofnx/i4uLg5uam037LprYYMGCARvmWLVvUY8iIiIiIaoNB5/mqy4xhnhAiIiLSjTH8fhv8bkciIiKihoTJFxEREZEeMfkiIiIi0iMmX0RERER6xOSLiIiISI+YfBERERHpEZMvIiIiIj1i8kVERESkR0y+iIiIiPSIyRcRERGRHjH5IiIiItIjJl9EREREesTki4iIiEiPmHwRERER6RGTLyIiIiI9YvJFREREpEdMvoiIiIj0iMkXERERkR4x+SIiIiLSIyZfRERERHrE5IuIiIhIj5h8EREREekRky8iIiIiPWLyRURERKRHTL6IiIiI9IjJFxEREZEeMfkiIiIi0iMmX0RERER6xOSLiIiISI+YfBERERHpEZMvIiIiIj0yePK1YcMGuLu7QyaTwdvbG8eOHau0/vr16+Hh4QG5XI527dph+/btFdaNiYmBRCLByJEjn3i/RERERDXBoMnXzp07ERQUhMWLFyMxMRF9+/bF0KFDkZ6eXm79iIgIBAcHY9myZbh48SJCQ0Mxe/Zs7N27V6vu9evX8dZbb6Fv375PvF8iIiKimiIRQghD7dzHxwddu3ZFRESEuszDwwMjR45EeHi4Vn1fX1/07t0bq1atUpcFBQXh7NmzOH78uLpMpVKhf//+mDx5Mo4dO4bc3Fzs3r272vstT35+PhQKBfLy8mBjY6PLYRMREZGBGMPvt8F6voqKipCQkAB/f3+Ncn9/f8TFxZW7TmFhIWQymUaZXC5HfHw8iouL1WVhYWFo2rQppk6dWiP7Ldt3fn6+xouIiIhIVwZLvrKysqBSqeDo6KhR7ujoiIyMjHLXGTx4MDZt2oSEhAQIIXD27FlERUWhuLgYWVlZAIATJ05g8+bNiIyMrLH9AkB4eDgUCoX61aJFC10Ol4iIiAiAEQy4l0gkGu+FEFplZZYuXYqhQ4eiZ8+eMDMzw4gRIzBp0iQAgFQqxZ07dxAYGIjIyEjY29vX2H4BIDg4GHl5eerXjRs3qnB0RERERJpMDbVje3t7SKVSrd6mzMxMrV6pMnK5HFFRUfjiiy/wzz//wNnZGRs3boS1tTXs7e1x/vx5pKWlISAgQL1OaWkpAMDU1BSpqalo0aKFzvsFAAsLC1hYWFT3cImIiIgAGLDny9zcHN7e3oiNjdUoj42Nha+vb6XrmpmZwcXFBVKpFDExMRg+fDhMTEzQvn17XLhwAUlJSerX888/Dz8/PyQlJaFFixZPtF8iIiKiJ2Wwni8AmDdvHsaPH49u3bqhV69e2LhxI9LT0zFjxgwADy713bx5Uz2X16VLlxAfHw8fHx/cvn0ba9asQXJyMrZt2wYAkMlk8PLy0thH48aNAUCj/HH7JSIiIqotBk2+Ro8ejezsbISFhUGpVMLLywv79u2Dq6srAECpVGrMvaVSqbB69WqkpqbCzMwMfn5+iIuLg5ubW43ul4iIiKi2GHSer7rMGOYJISIiIt0Yw++3we92JCIiImpImHwRERER6RGTLyIiIiI9YvJFREREpEdMvoiIiIj0iMkXERERkR4x+SIiIiLSIyZfRERERHrE5IuIiIhIjwz6eCEioupSlQrEX8tB5p0COFjL0MPdFlITiaHDIiJ6LCZfRFTn7E9WInRvCpR5BeoyZ4UMIQGeGOLlbMDIiIgej5cdiahO2Z+sxMzocxqJFwBk5BVgZvQ57E9WGigyIqKqYfJFRHWGqlQgdG8KRDnLyspC96ZAVVpeDSIi48Dki4jqjPhrOVo9Xg8TAJR5BYi/lqO/oIiIdMTki4jqjMw7FSde1alHRGQITL6IqM5wsJbVaD0iIkNg8kVEdUYPd1s4K2SoaEIJCR7c9djD3VafYRER6YTJFxHVGVITCUICPAFAKwErex8S4Mn5vojIqDH5IqI6ZYiXMyICu8JJoXlp0UkhQ0RgV87zRURGj5OsElGdM8TLGYM8nTjDPRHVSUy+iKhOkppI0Ku1naHDICLSGS87EhEREekRky8iIiIiPWLyRURERKRHTL6IiIiI9IjJFxEREZEeMfkiIiIi0iMmX0RERER6xOSLiIiISI+YfBERERHpEWe4ryYhBAAgPz/fwJEQERFRVZX9bpf9jhsCk69qunPnDgCgRYsWBo6EiIiIdJWdnQ2FQmGQfUuEIVO/Oqy0tBR///03rK2tIZHUjYf55ufno0WLFrhx4wZsbGwMHU69xXbWH7a1frCd9YPtrB95eXlo2bIlbt++jcaNGxskBvZ8VZOJiQlcXFwMHUa12NjY8A9bD9jO+sO21g+2s36wnfXDxMRww9454J6IiIhIj5h8EREREekRk68GxMLCAiEhIbCwsDB0KPUa21l/2Nb6wXbWD7azfhhDO3PAPREREZEeseeLiIiISI+YfBERERHpEZMvIiIiIj1i8kVERESkR0y+GpANGzbA3d0dMpkM3t7eOHbsmKFDMlrh4eHo3r07rK2t4eDggJEjRyI1NVWjjhACy5YtQ7NmzSCXyzFgwABcvHhRo05hYSFef/112Nvbw9LSEs8//zz++usvjTq3b9/G+PHjoVAooFAoMH78eOTm5tb2IRql8PBwSCQSBAUFqcvYzjXj5s2bCAwMhJ2dHRo1aoTOnTsjISFBvZzt/ORKSkqwZMkSuLu7Qy6Xo1WrVggLC0Npaam6Dtu5en799VcEBASgWbNmkEgk2L17t8ZyfbZreno6AgICYGlpCXt7e8ydOxdFRUW6HZCgBiEmJkaYmZmJyMhIkZKSIt544w1haWkprl+/bujQjNLgwYPFli1bRHJyskhKShLDhg0TLVu2FHfv3lXX+eCDD4S1tbX47rvvxIULF8To0aOFs7OzyM/PV9eZMWOGaN68uYiNjRXnzp0Tfn5+olOnTqKkpERdZ8iQIcLLy0vExcWJuLg44eXlJYYPH67X4zUG8fHxws3NTXTs2FG88cYb6nK285PLyckRrq6uYtKkSeL06dPi2rVr4ueffxZ//vmnug7b+cktX75c2NnZiR9//FFcu3ZNfPvtt8LKykqsW7dOXYftXD379u0TixcvFt99950AIL7//nuN5fpq15KSEuHl5SX8/PzEuXPnRGxsrGjWrJmYM2eOTsfD5KuB6NGjh5gxY4ZGWfv27cWiRYsMFFHdkpmZKQCIo0ePCiGEKC0tFU5OTuKDDz5Q1ykoKBAKhUJ8/vnnQgghcnNzhZmZmYiJiVHXuXnzpjAxMRH79+8XQgiRkpIiAIhTp06p65w8eVIAEH/88Yc+Ds0o3LlzR7Rt21bExsaK/v37q5MvtnPNWLhwoejTp0+Fy9nONWPYsGFiypQpGmUvvviiCAwMFEKwnWvKo8mXPtt13759wsTERNy8eVNd5+uvvxYWFhYiLy+vysfAy44NQFFRERISEuDv769R7u/vj7i4OANFVbfk5eUBAGxtbQEA165dQ0ZGhkabWlhYoH///uo2TUhIQHFxsUadZs2awcvLS13n5MmTUCgU8PHxUdfp2bMnFApFg/psZs+ejWHDhuHZZ5/VKGc714w9e/agW7dueOmll+Dg4IAuXbogMjJSvZztXDP69OmDQ4cO4dKlSwCA3377DcePH8dzzz0HgO1cW/TZridPnoSXlxeaNWumrjN48GAUFhZqXMZ/HD5YuwHIysqCSqWCo6OjRrmjoyMyMjIMFFXdIYTAvHnz0KdPH3h5eQGAut3Ka9Pr16+r65ibm6NJkyZadcrWz8jIgIODg9Y+HRwcGsxnExMTg3PnzuHMmTNay9jONePq1auIiIjAvHnz8M477yA+Ph5z586FhYUFJkyYwHauIQsXLkReXh7at28PqVQKlUqF999/H2PHjgXA87m26LNdMzIytPbTpEkTmJub69T2TL4aEIlEovFeCKFVRtrmzJmD8+fP4/jx41rLqtOmj9Ypr35D+Wxu3LiBN954AwcPHoRMJquwHtv5yZSWlqJbt25YsWIFAKBLly64ePEiIiIiMGHCBHU9tvOT2blzJ6Kjo7Fjxw48/fTTSEpKQlBQEJo1a4aJEyeq67Gda4e+2rUm2p6XHRsAe3t7SKVSraw8MzNTK4MnTa+//jr27NmDI0eOwMXFRV3u5OQEAJW2qZOTE4qKinD79u1K6/zzzz9a+71161aD+GwSEhKQmZkJb29vmJqawtTUFEePHsUnn3wCU1NTdRuwnZ+Ms7MzPD09Nco8PDyQnp4OgOdzTXn77bexaNEijBkzBh06dMD48ePx5ptvIjw8HADbubbos12dnJy09nP79m0UFxfr1PZMvhoAc3NzeHt7IzY2VqM8NjYWvr6+BorKuAkhMGfOHOzatQuHDx+Gu7u7xnJ3d3c4OTlptGlRURGOHj2qblNvb2+YmZlp1FEqlUhOTlbX6dWrF/Ly8hAfH6+uc/r0aeTl5TWIz2bgwIG4cOECkpKS1K9u3bph3LhxSEpKQqtWrdjONaB3795aU6VcunQJrq6uAHg+15T79+/DxETzZ1UqlaqnmmA71w59tmuvXr2QnJwMpVKprnPw4EFYWFjA29u76kFXeWg+1WllU01s3rxZpKSkiKCgIGFpaSnS0tIMHZpRmjlzplAoFOKXX34RSqVS/bp//766zgcffCAUCoXYtWuXuHDhghg7dmy5tza7uLiIn3/+WZw7d04888wz5d7a3LFjR3Hy5Elx8uRJ0aFDh3p9y/jjPHy3oxBs55oQHx8vTE1Nxfvvvy8uX74svvrqK9GoUSMRHR2trsN2fnITJ04UzZs3V081sWvXLmFvby8WLFigrsN2rp47d+6IxMREkZiYKACINWvWiMTERPV0Sfpq17KpJgYOHCjOnTsnfv75Z+Hi4sKpJqhi69evF66ursLc3Fx07dpVPW0CaQNQ7mvLli3qOqWlpSIkJEQ4OTkJCwsL0a9fP3HhwgWN7fz7779izpw5wtbWVsjlcjF8+HCRnp6uUSc7O1uMGzdOWFtbC2trazFu3Dhx+/ZtPRylcXo0+WI714y9e/cKLy8vYWFhIdq3by82btyosZzt/OTy8/PFG2+8IVq2bClkMplo1aqVWLx4sSgsLFTXYTtXz5EjR8r9Tp44caIQQr/tev36dTFs2DAhl8uFra2tmDNnjigoKNDpeCRCCFH1fjIiIiIiehIc80VERESkR0y+iIiIiPSIyRcRERGRHjH5IiIiItIjJl9EREREesTki4iIiEiPmHwRERER6RGTLyIiAGlpaZBIJEhKSjKK7TzOpEmTMHLkyFrdBxHVDiZfRPTECgsL8fTTT+O1117TWrZgwQK4uroiPz/fAJHVrvISoBYtWkCpVMLLy6tW9/3xxx9j69attboPIqodTL6I6pGioiKD7NfCwgLbt2/H1q1bsX//fnX5qVOnsHbtWmzduhU2NjYGiU3fpFIpnJycYGpqWqv7USgUaNy4ca1tX6VSqR8ITUQ1i8kXkZG6c+cOxo0bB0tLSzg7O2Pt2rUYMGAAgoKC1HXc3NywfPlyTJo0CQqFAq+++ioA4LvvvsPTTz8NCwsLuLm5YfXq1Rrblkgk2L17t0ZZ48aN1T0pZZfOYmJi4OvrC5lMhqeffhq//PJLhfF6e3tj8eLFmDZtGnJzc1FQUIDJkydj9uzZ8PPzK3edqu7n6NGj6NGjBywsLODs7IxFixahpKREvXzAgAGYM2cO5syZg8aNG8POzg5LlizBw09Pe9wxP0qlUmHq1Klwd3eHXC5Hu3bt8PHHH6uXL1u2DNu2bcMPP/wAiUQCiUSCX375pdzLjlWJf+7cuViwYAFsbW3h5OSEZcuWVdjWgHavW1W2kZubi9deew2Ojo6QyWTw8vLCjz/+CADYunUrGjdujB9//BGenp6wsLDA9evXUVRUhAULFqB58+awtLSEj4+PxueTnZ2NsWPHwsXFBY0aNUKHDh3w9ddfa+z3v//9Lzp06AC5XA47Ozs8++yzuHfvnnr5li1b4OHhAZlMhvbt22PDhg2VHjtRnafboy2JSF+mTZsmXF1dxc8//ywuXLggXnjhBWFtba3x0GlXV1dhY2MjVq1aJS5fviwuX74szp49K0xMTERYWJhITU0VW7ZsEXK5XOOh4ADE999/r7E/hUKhrnPt2jUBQLi4uIj//ve/IiUlRUybNk1YW1uLrKysCmMuLi4W3bp1E+PHjxfz588X7du3F/fv36+wflX289dff4lGjRqJWbNmid9//118//33wt7eXoSEhKi3079/f2FlZSXeeOMN8ccff4jo6GjRqFEjjYdHV/WYExMThRBCFBUViXfffVfEx8eLq1evqre5c+dOIYQQd+7cES+//LIYMmSIUCqVQqlUisLCQq3tVDV+GxsbsWzZMnHp0iWxbds2IZFIxMGDBytsu4kTJ4oRI0ZUeRsqlUr07NlTPP300+LgwYPiypUrYu/evWLfvn1CCCG2bNkizMzMhK+vrzhx4oT4448/xN27d8Urr7wifH19xa+//ir+/PNPsWrVKmFhYSEuXbqkPr5Vq1aJxMREceXKFfHJJ58IqVQqTp06JYQQ4u+//xampqZizZo14tq1a+L8+fNi/fr14s6dO0IIITZu3CicnZ3Fd999J65evSq+++47YWtrK7Zu3VrhsRPVdUy+iIxQfn6+MDMzE99++626LDc3VzRq1Egr+Ro5cqTGuq+88ooYNGiQRtnbb78tPD091e+rmoh88MEH6uXFxcXCxcVFrFy5stLYU1JShEwmE+bm5iI+Pr7SulXZzzvvvCPatWsnSktL1XXWr18vrKyshEqlEkI8SDw8PDw06ixcuFB4eHjofMxlSVN5Zs2aJUaNGqV+/2gCVN52qhp/nz59NLbTvXt3sXDhwgpjKS/5qmwbBw4cECYmJiI1NbXc7W3ZskUAEElJSeqyP//8U0gkEnHz5k2NugMHDhTBwcEVxvbcc8+J+fPnCyGESEhIEABEWlpauXVbtGghduzYoVH23nvviV69elW4faK6rnYHJRBRtVy9ehXFxcXo0aOHukyhUKBdu3Zadbt166bx/vfff8eIESM0ynr37o1169ZBpVJBKpVWOY5evXqp/9/U1BTdunXD77//Xuk6Hh4eGDVqFHJzc9G9e/cn3s/vv/+OXr16QSKRaBzP3bt38ddff6Fly5YAgJ49e2rU6dWrF1avXq3zMT/s888/x6ZNm3D9+nX8+++/KCoqQufOnXXaRlXj79ixo8Z6zs7OyMzM1GlflW0jKSkJLi4ueOqppypc39zcXGMb586dgxBCa53CwkLY2dkBeHB59oMPPsDOnTtx8+ZNFBYWorCwEJaWlgCATp06YeDAgejQoQMGDx4Mf39//Oc//0GTJk1w69Yt3LhxA1OnTlVfMgeAkpISKBQKnY6dqC5h8kVkhMT/H6v08A/2w+UPK/uRe7jO49aTSCRaZcXFxVWK7dFtl8fU1PSJB5yX7aey46lKLA9vT5dj/uabb/Dmm29i9erV6NWrF6ytrbFq1SqcPn26yvssi7Uq8ZuZmWnFq+uA98q2IZfLH7u+XC7XiKm0tBRSqRQJCQlaCayVlRUAYPXq1Vi7di3WrVuHDh06wNLSEkFBQeqbP6RSKWJjYxEXF4eDBw/i008/xeLFi3H69Gk0atQIABAZGQkfHx+N7Vc3YSaqCzjgnsgItW7dGmZmZoiPj1eX5efn4/Lly49d19PTE8ePH9coi4uLw1NPPaX+QWvatCmUSqV6+eXLl3H//n2tbZ06dUr9/yUlJUhISED79u11Pp7HqWw/np6eiIuL00ic4uLiYG1tjebNm5e7jbL3bdu21fmYyxw7dgy+vr6YNWsWunTpgjZt2uDKlSsadczNzaFSqSo9tqrGX9s6duyIv/76C5cuXaryOl26dIFKpUJmZibatGmj8XJycgLwoJ1GjBiBwMBAdOrUCa1atdI6TyUSCXr37o3Q0FAkJibC3Nwc33//PRwdHdG8eXNcvXpVa/vu7u41evxExoQ9X0RGyNraGhMnTsTbb78NW1tbODg4ICQkBCYmJo/t7Zk/fz66d++O9957D6NHj8bJkyfx2WefadxB9swzz+Czzz5Dz549UVpaioULF2r1mgDA+vXr0bZtW3h4eGDt2rW4ffs2pkyZUuPHW9l+Zs2ahXXr1uH111/HnDlzkJqaipCQEMybNw8mJv/378cbN25g3rx5mD59Os6dO4dPP/1U4y7Pqh5zmTZt2mD79u04cOAA3N3d8eWXX+LMmTMaSYGbmxsOHDiA1NRU2NnZlXuprKrx17b+/fujX79+GDVqFNasWYM2bdrgjz/+gEQiwZAhQ8pd56mnnsK4ceMwYcIErF69Gl26dEFWVhYOHz6MDh064LnnnkObNm3w3XffIS4uDk2aNMGaNWuQkZEBDw8PAMDp06dx6NAh+Pv7w8HBAadPn8atW7fUy5ctW4a5c+fCxsYGQ4cORWFhIc6ePYvbt29j3rx5emsfIr0yyEgzInqs/Px88corr4hGjRoJJycnsWbNGtGjRw+xaNEidR1XV1exdu1arXX/+9//Ck9PT2FmZiZatmwpVq1apbH85s2bwt/fX1haWoq2bduKffv2lTv4fMeOHcLHx0eYm5sLDw8PcejQoSrFXt5A9PJUdT+//PKL6N69uzA3NxdOTk5i4cKFori4WL28f//+YtasWWLGjBnCxsZGNGnSRCxatEhjkHtVj7lsoHxBQYGYNGmSUCgUonHjxmLmzJli0aJFolOnTuptZmZmikGDBgkrKysBQBw5cqTcgftVif/hGymEEGLEiBFi4sSJVW7jqmwjOztbTJ48WdjZ2QmZTCa8vLzEjz/+KIR4MOBeoVBo7afsrk83NzdhZmYmnJycxAsvvCDOnz+v3uaIESOElZWVcHBwEEuWLBETJkxQx5aSkiIGDx4smjZtKiwsLMRTTz0lPv30U419fPXVV6Jz587C3NxcNGnSRPTr10/s2rWrwmMnquskQpQziISIjM69e/fQvHlzrF69GlOnTq3VfaWlpcHd3R2JiYk6DzA3xH4GDBiAzp07Y926dTUWGxFRbeFlRyIjlZiYiD/++AM9evRAXl4ewsLCAEDrTkYiIqpbmHwRGbGPPvoIqampMDc3h7e3N44dOwZ7e3tDh0VERE+Alx2JiIiI9IhTTRARERHpEZMvIiIiIj1i8kVERESkR0y+iIiIiPSIyRcRERGRHjH5IiIiItIjJl9EREREesTki4iIiEiPmHwRERER6dH/A6g1lF8LWwIEAAAAAElFTkSuQmCC", + "image/png": 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", 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" ] @@ -403,7 +573,7 @@ " y1_incid = np.random.binomial(Y1_POP, Y1_PREV, size=NREP)\n", " y2_incid = np.random.binomial(Y2_POP, Y2_PREV, size=NREP)\n", " for i in range(NREP):\n", - " mu_txs[i], sigma_hat = transform_bivariate(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP, \"percentage_change\")\n", + " mu_txs[i], sigma_hat = transform_percentage_change(y1_incid[i], Y1_POP, y2_incid[i], Y2_POP)\n", " ci_uppers[i] = mu_txs[i] + Q * sigma_hat\n", " ci_lowers[i] = mu_txs[i] - Q * sigma_hat\n", " if (ci_lowers[i] < TRUE_DIFF and TRUE_DIFF < ci_uppers[i]):\n", @@ -427,12 +597,12 @@ }, { "cell_type": "code", - "execution_count": 9, + "execution_count": null, "metadata": {}, "outputs": [ { "data": { - "image/png": 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", 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sEHXvvfcaDw+PEqc1bNjQxMbGlmucKVOmGElGkrHZbObJJ58stW9kZGSxz+2yVOuv8/r06ePw/KqrrtKJEyfO+lVV69attW3bNg0fPlwrVqzQkSNHyr28devWSVKxu6hat26txo0b20/Fbtq0Sfn5+erfv79Dv7Zt26pOnToljn3LLbeU2P7GG2/o6quvlqenp1xdXeXm5qY1a9YoNTW1WN8bbrhBNWr8b5c2btxY0l8XsP5dUXtaWlopayrt2rVLf/zxhwYNGuQwpo+Pj2655RZt2rRJx48fL3X+0nz22Wfq3LmzvYaSLF26VE2aNFHz5s116tQp+6NHjx4lfl3RuXNn+fr62p+HhoYqJCSkXKfzV6xYoVOnTmnw4MEOy/L09FTHjh1LvCD4zH21dOlSXXbZZerdu7fDGM2bN1dYWJh9jKLXz5133ukwf//+/ct1nci6devk6+tb7HU/cOBAh+e7d+/Wjz/+aF/O32u64YYblJGRoV27dpW5vJJs3bpVffr0UWBgoFxcXOTm5qbBgwersLBQP/30U4XHK+kYluSw73799VcNHDhQYWFh9mUWXXtX0nFQHvXr11etWrX02GOP6Y033tDOnTsrPEZFjs0LVdPf/fTTT/rll180bNgweXp6ntNYf3fllVeqWbNmDm0DBw7UkSNH9O233zq0n3msbNiwQQcOHFB8fLzD6/L06dPq2bOnUlJS7F/TDh06VHl5eVqwYIF9/tmzZ8vDw8PhNZ+bm6vHHntM9evXl6urq1xdXeXj46Njx46ddV9YOU7Ker2uWrVKhYWFZ73wuSLboHXr1kpKStKkSZO0adOmEr8279ixo06dOqWnn3661GUW+eOPPxQSElLitLN9HVfZX9WVV2XUNGTIEKWkpGjFihUaO3asXnjhBY0YMaLEviEhIfr9998rVGO1DlGBgYEOz4suEsvLyyt1nnHjxunFF1/Upk2bFBcXp8DAQHXt2rVct1rn5ORIUol300RERNinF/03NDS0WL+S2kobc+rUqfq///s/tWnTRgsXLtSmTZuUkpKinj17lriOZ1745+7uftb2EydOlFjL39ehtHU9ffq0Dh48WOr8pdm/f78uv/zys/b5888/tX37drm5uTk8fH19ZYwp9tMWZ74OpL9eC2d7Hfx9WZJ0zTXXFFveggULii2rZs2a8vPzKzbGoUOH5O7uXmyMzMxM+xhF2zQsLMxhfldX1xLX4Uw5OTklvn7OHK9oncaMGVOsnuHDh0tSuX4e5ExpaWm6/vrr9fvvv+vll1/WF198oZSUFPu1SOXZ3mcq6xjOzc3V9ddfr6+//lqTJk1ScnKyUlJStGjRIsvLlCR/f3+tX79ezZs31xNPPKErr7xSERERmjBhQrmu76rosXkhajpT0fV4ZR1vFXXm6+3vbUWv8SJnvn8UvTZvvfXWYq/N5557TsYYHThwQNJfYe2aa67R7NmzJUmFhYWaO3eubrrpJof3tIEDB+rVV1/VPffcoxUrVuibb75RSkqKgoODz7ovrBwnZb1ey7PNK7INFixYoPj4eL3zzjtq166dAgICNHjw4FKvgyxLXl5eiYE6MDCw2L6T/rrD7eTJk2e9qPx8CQwM1IkTJ0r8x/qBAwfKXVNYWJhatWql2NhY/fvf/9YzzzyjV199tdg1r5Lk6elZ4eP3krtNwtXVVaNGjdKoUaN06NAhrV69Wk888YR69Oih9PT0s95pVXQAZWRkFDtI/vjjDwUFBTn0+/uF0kUyMzNLPBtVUqqeO3euOnXqpBkzZji0Hz169OwrWQn+vq5n+uOPP1SjRg3VqlWrwuMGBwcXuwj/TEFBQfLy8tKsWbNKnV5Zisb68MMPFR0dXWb/kvZT0UWmpV18WXSWrGibZmZmOtwZc+rUqRLfwM4UGBhY4kXoZ76hFq3TuHHj1K9fvxLHiomJKXN5Z1qyZImOHTumRYsWOWyr8/mbYGvXrtUff/yh5ORkhzs/K+OnKpo2bar58+fLGKPt27crKSlJzzzzjLy8vPT444+fdd7zdWyeS01nKrqovazjraJK+gAvajszZJx5vBS9NhMTE0u9k/Dv/1C4++67NXz4cKWmpurXX39VRkaGw4XGhw8f1tKlSzVhwgSH7ZOfn28PIqU5H8fJ37d5VFTUWZdbnm0QFBSk6dOna/r06UpLS9PHH3+sxx9/XFlZWWVe7F3askvaLkWvu8zMTIeQ/P3330uSmjRpUuFlnaumTZvaa2jTpo29vegfplZrat26taS/ztSeeff+gQMHSv22qDTV+kzUubrssst066236sEHH9SBAwfsd8mUdkar6NbHuXPnOrSnpKQoNTXVfqdWmzZt5OHh4XAaWvrra77y3jEi/fUGVFRLke3btzvcHXe+xMTEKDIyUu+//76MMfb2Y8eOaeHChfY79ioqLi5O69atO+vXSb169dIvv/yiwMBAtWrVqtijoi9yqfR92qNHD7m6uuqXX34pcVmtWrUqc+xevXopJydHhYWFJc5f9EZcdBfVvHnzHOb/4IMPiv34W0k6d+6so0eP6uOPP3Zof//99x2ex8TEqEGDBtq2bVup6/T3rz/PVNq2KvpA/Ptr0hijt99+u8zarSppmZL05ptvFutbnjPRpS2jWbNmmjZtmi677DKHr6RKO6NZ3mPzQtZ0poYNG6pevXqaNWuW8vPzK7T8s/nhhx+0bds2h7b3339fvr6+Zf5G1bXXXqvLLrtMO3fuLPW1WXSmXJLuuOMOeXp6KikpSUlJSYqMjFRsbKx9us1mkzGm2L545513VFhYeNZazvU4KUlsbKxcXFyKhetz2QZFateurYceekjdu3cv9rVpeTVq1Ei//vprsfabbrpJNput2E8CJCUlycvLSz179rS0vHPRs2dP+74/syabzWb596iKLquoX7++Q/upU6eUnp5+1p9NKMkldyaqd+/eatKkiVq1aqXg4GD99ttvmj59uqKjo9WgQQNJ/0vAL7/8suLj4+Xm5qaYmBjFxMTovvvuU2JiomrUqKG4uDjt3btX48ePV1RUlB555BFJf319NmrUKE2ZMkW1atVS3759tW/fPk2cOFHh4eEO1xidTa9evfSvf/1LEyZMUMeOHbVr1y4988wzqlu3brk+dM9FjRo19Pzzz+vOO+9Ur169dP/99ys/P18vvPCCDh06pH//+9+Wxn3mmWf02WefqUOHDnriiSfUtGlTHTp0SMuXL9eoUaPUqFEjjRw5UgsXLlSHDh30yCOP6KqrrtLp06eVlpamlStXavTo0Q7/MimP0vZpnTp19Mwzz+jJJ5/Ur7/+qp49e6pWrVr6888/9c0338jb27vMH3AcMGCA5s2bpxtuuEH//Oc/1bp1a7m5uWnfvn1at26dbrrpJvXt21eNGzfWXXfdpenTp8vNzU3dunXTjh079OKLLxb7irAkgwcP1rRp0zR48GA9++yzatCggZYtW6YVK1YU6/vmm28qLi5OPXr00JAhQxQZGakDBw4oNTVV3377rf773/+Wua2ee+45xcXFycXFRVdddZW6d+8ud3d33XHHHRo7dqxOnDihGTNmWPpat7zat2+vWrVq6YEHHtCECRPk5uamefPmFfsQP1vdJX0gLV26VK+//rpuvvlmXXHFFTLGaNGiRTp06JC6d+/uMGZycrI++eQThYeHy9fXVzExMeU+Nn19fRUdHa2PPvpIXbt2VUBAgIKCgkr8h8C51lSS1157Tb1791bbtm31yCOPqHbt2kpLS9OKFSscwrzNZiv1GsAzRUREqE+fPkpISFB4eLjmzp2rVatW6bnnnivzH1Y+Pj5KTExUfHy8Dhw4oFtvvVUhISHav3+/tm3bpv379zsEkMsuu0x9+/ZVUlKSDh06pDFjxji8f/r5+alDhw564YUX7Nt1/fr1mjlzpi677LIy1+VcjpOS1KlTR0888YT+9a9/KS8vz/4TPDt37lR2drYmTpxY7m1w+PBhde7cWQMHDlSjRo3k6+urlJQULV++3OHM2fr169W1a1c9/fTTZV4X1alTJ82aNUs//fSTww8iX3nllRo2bJgmTJggFxcXXXPNNVq5cqXeeustTZo0yeGrs2eeeUbPPPOM1qxZ43B2+LPPPtOxY8fsZ2N37typDz/8UNJf1+sWvTaSkpJ09913a/bs2Wf9Kw0BAQF66qmnNH78eAUEBCg2NlYpKSlKSEjQPffc4xB23nvvPQ0dOlSzZs3S4MGDJUkTJkzQn3/+qQ4dOigyMtL+OfP222/rtttuU8uWLR2Wt337dh0/flydO3c+6zYspkKXoVcRRXfn/f32VWOK3+1iTPG781566SXTvn17ExQUZNzd3U3t2rXNsGHDzN69ex3GGjdunImIiDA1atRwuKOjsLDQPPfcc6Zhw4bGzc3NBAUFmbvuusukp6c7zH/69GkzadIkc/nllxt3d3dz1VVXmaVLl5pmzZo53L1ztjvb8vPzzZgxY0xkZKTx9PQ0V199tVmyZImJj4830dHR9n5Fd+f9/Rbjs41dtJ3OvPutJEuWLDFt2rQxnp6extvb23Tt2tV89dVX5VpOadLT083QoUNNWFiYcXNzMxEREaZ///7mzz//tPfJzc01Tz31lImJiTHu7u7G39/fNG3a1DzyyCMmMzPT3k+SefDBB4st48z9bkzp+7RoPTt37mz8/PyMh4eHiY6ONrfeeqvD7cbx8fHG29u7xHUqKCgwL774omnWrJnx9PQ0Pj4+plGjRub+++83P//8s71ffn6+GT16tAkJCTGenp6mbdu2ZuPGjSXWW5J9+/aZW265xfj4+BhfX19zyy23mA0bNhS7O88YY7Zt22b69+9vQkJCjJubmwkLCzNdunQxb7zxhr1PSXcs5efnm3vuuccEBwcbm83mcEx98skn9nWMjIw0jz76qPnss8+KjVGW0l6DJdWzYcMG065dO1OzZk0THBxs7rnnHvPtt98WW+ez1X2mH3/80dxxxx2mXr16xsvLy/j7+5vWrVubpKQkh37fffedufbaa03NmjUd7qwt77FpjDGrV682LVq0MB4eHg53YZ75fnWuNZW07Yz5667guLg44+/vbzw8PEy9evUc7hA9evSokVSunz2Ijo42N954o/nwww/NlVdeadzd3U2dOnXM1KlTHfqV9Z6wfv16c+ONN5qAgADj5uZmIiMjzY033lhi/5UrV9rvrvrpp5+KTS86JmrVqmV8fX1Nz549zY4dO4odU6Vtn/IcJxV5vRpjzHvvvWeuueYa+3tBixYtih2fZW2DEydOmAceeMBcddVVxs/Pz3h5eZmYmBgzYcIE+12Qf6+hPHfDHT582Pj4+BS7s90YY06ePGkmTJhgateubdzd3U3Dhg1LvN2/6PP3zHWOjo6276czH38/DhMTE40ks3z58jLrNcaYl19+2TRs2ND+eT1hwgRz8uRJhz5F++fv2/jjjz823bp1M6GhocbV1dX4+PiY1q1bm1deeaXY3ZjG/PXTFEFBQaX+LEppbMb87bsanFd79uxRo0aNNGHCBD3xxBPOLgcAtGzZMvXq1Uvbtm2zn80rTZ06ddSkSROHH7NF9TJixAitWbNGP/zwg1Puuuvfv7/27NmjlJSUC77s0hQWFqp+/foaOHCgnn322QrNe0lfE3U+bdu2TY8//rg+/vhjJScn680331S3bt3k5+enYcOGObs8AJD01zUiAwYMKDNA4eLw1FNP6ffff9fChQsv+LKNMUpOTq5wUDnf5s6dq9zcXPtftqiIS+6aqAvF29tbmzdv1syZM3Xo0CH5+/urU6dOevbZZ0v9mQOgujPGlHlBr4uLi9N+dwbFvfDCC84uARdQaGio5s2bd16vZSyNzWYr958cu5BOnz6tefPmles6ujPxdR6ASlN00ejZrFu3rsy/rwgA1QEhCkClycnJ0Z49e87aJyYmpsK3jgNAVUSIAgAAsIALywEAACzgwnL9dVHZH3/8IV9fXy54BQCgmjDG6OjRo4qIiCj3D1lXJkKU/vpbcKX9nSMAAFC1paenV/of2y4PQpT+9wdi09PTy/XnNwAAgPMdOXJEUVFRTrtZhRCl//2RUz8/P0IUAADVjLMuxeHCcgAAAAsIUQAAABYQogAAACwgRAEAAFhAiAIAALCAEAUAAGABIQoAAMACQhQAAIAFhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABggauzCwAuZWlpacrOznZ2GRUSFBSk2rVrO7sMAHA6QhTgJGlpaYpp1Fgn8o47u5QK8fSqqV0/phKkAFzyCFGAk2RnZ+tE3nEF9hott8AoZ5dTLgU56cpZ+pKys7MJUQAueYQowMncAqPkEVbf2WUAACqIC8sBAAAsIEQBAABYQIgCAACwgBAFAABgASEKAADAAkIUAACABYQoAAAACwhRAAAAFhCiAAAALCBEAQAAWECIAgAAsIAQBQAAYAEhCgAAwAJCFAAAgAWEKAAAAAsIUQAAABa4OrsAANVPamqqs0uokKCgINWuXdvZZQC4yBCiAJRbYe5ByWbTXXfd5exSKsTTq6Z2/ZhKkAJQqQhRAMrtdH6uZIwCe42WW2CUs8spl4KcdOUsfUnZ2dmEKACVihAFoMLcAqPkEVbf2WUAgFNxYTkAAIAFhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABggVND1JQpU3TNNdfI19dXISEhuvnmm7Vr1y6HPkOGDJHNZnN4tG3b1qFPfn6+RowYoaCgIHl7e6tPnz7at2/fhVwVAABwiXFqiFq/fr0efPBBbdq0SatWrdKpU6cUGxurY8eOOfTr2bOnMjIy7I9ly5Y5TB85cqQWL16s+fPn68svv1Rubq569eqlwsLCC7k6AADgEuLUXyxfvny5w/PZs2crJCREW7ZsUYcOHeztHh4eCgsLK3GMw4cPa+bMmZozZ466desmSZo7d66ioqK0evVq9ejR4/ytAAAAuGRVqWuiDh8+LEkKCAhwaE9OTlZISIgaNmyoe++9V1lZWfZpW7ZsUUFBgWJjY+1tERERatKkiTZs2FDicvLz83XkyBGHBwAAQEVUmRBljNGoUaN03XXXqUmTJvb2uLg4zZs3T2vXrtVLL72klJQUdenSRfn5+ZKkzMxMubu7q1atWg7jhYaGKjMzs8RlTZkyRf7+/vZHVFT1+EOqAACg6qgyf4D4oYce0vbt2/Xll186tN9+++32/2/SpIlatWql6Ohoffrpp+rXr1+p4xljZLPZSpw2btw4jRo1yv78yJEjBCkAAFAhVeJM1IgRI/Txxx9r3bp1uvzyy8/aNzw8XNHR0fr5558lSWFhYTp58qQOHjzo0C8rK0uhoaEljuHh4SE/Pz+HBwAAQEU4NUQZY/TQQw9p0aJFWrt2rerWrVvmPDk5OUpPT1d4eLgkqWXLlnJzc9OqVavsfTIyMrRjxw61b9/+vNUOAAAubU79Ou/BBx/U+++/r48++ki+vr72a5j8/f3l5eWl3NxcJSQk6JZbblF4eLj27t2rJ554QkFBQerbt6+977BhwzR69GgFBgYqICBAY8aMUdOmTe136wEAAFQ2p4aoGTNmSJI6derk0D579mwNGTJELi4u+v777/Xee+/p0KFDCg8PV+fOnbVgwQL5+vra+0+bNk2urq7q37+/8vLy1LVrVyUlJcnFxeVCrg4AALiEODVEGWPOOt3Ly0srVqwocxxPT08lJiYqMTGxskoDAAA4qypxYTkAAEB1Q4gCAACwgBAFAABgASEKAADAAkIUAACABYQoAAAACwhRAAAAFhCiAAAALCBEAQAAWECIAgAAsIAQBQAAYAEhCgAAwAJCFAAAgAWEKAAAAAsIUQAAABYQogAAACwgRAEAAFhAiAIAALCAEAUAAGABIQoAAMACQhQAAIAFhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABgASEKAADAAkIUAACABYQoAAAACwhRAAAAFhCiAAAALCBEAQAAWECIAgAAsIAQBQAAYAEhCgAAwAJCFAAAgAWEKAAAAAsIUQAAABYQogAAACwgRAEAAFhAiAIAALCAEAUAAGABIQoAAMACQhQAAIAFhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABgASEKAADAAqeGqClTpuiaa66Rr6+vQkJCdPPNN2vXrl0OfYwxSkhIUEREhLy8vNSpUyf98MMPDn3y8/M1YsQIBQUFydvbW3369NG+ffsu5KoAAIBLjFND1Pr16/Xggw9q06ZNWrVqlU6dOqXY2FgdO3bM3uf555/X1KlT9eqrryolJUVhYWHq3r27jh49au8zcuRILV68WPPnz9eXX36p3Nxc9erVS4WFhc5YLQAAcAlwdebCly9f7vB89uzZCgkJ0ZYtW9ShQwcZYzR9+nQ9+eST6tevnyTp3XffVWhoqN5//33df//9Onz4sGbOnKk5c+aoW7dukqS5c+cqKipKq1evVo8ePS74egEAgItflbom6vDhw5KkgIAASdKePXuUmZmp2NhYex8PDw917NhRGzZskCRt2bJFBQUFDn0iIiLUpEkTe58z5efn68iRIw4PAACAiqgyIcoYo1GjRum6665TkyZNJEmZmZmSpNDQUIe+oaGh9mmZmZlyd3dXrVq1Su1zpilTpsjf39/+iIqKquzVAQAAF7kqE6Ieeughbd++Xf/5z3+KTbPZbA7PjTHF2s50tj7jxo3T4cOH7Y/09HTrhQMAgEtSlQhRI0aM0Mcff6x169bp8ssvt7eHhYVJUrEzSllZWfazU2FhYTp58qQOHjxYap8zeXh4yM/Pz+EBAABQEU4NUcYYPfTQQ1q0aJHWrl2runXrOkyvW7euwsLCtGrVKnvbyZMntX79erVv316S1LJlS7m5uTn0ycjI0I4dO+x9AAAAKptT78578MEH9f777+ujjz6Sr6+v/YyTv7+/vLy8ZLPZNHLkSE2ePFkNGjRQgwYNNHnyZNWsWVMDBw609x02bJhGjx6twMBABQQEaMyYMWratKn9bj0AAIDK5tQQNWPGDElSp06dHNpnz56tIUOGSJLGjh2rvLw8DR8+XAcPHlSbNm20cuVK+fr62vtPmzZNrq6u6t+/v/Ly8tS1a1clJSXJxcXlQq0KAAC4xDg1RBljyuxjs9mUkJCghISEUvt4enoqMTFRiYmJlVgdAABA6arEheUAAADVDSEKAADAAkIUAACABYQoAAAACwhRAAAAFhCiAAAALCBEAQAAWECIAgAAsIAQBQAAYIFTf7EcqExpaWnKzs52dhnllpqa6uwSAADngBCFi0JaWppiGjXWibzjzi4FAHCJIEThopCdna0TeccV2Gu03AKjnF1OueT9ulmHv5jr7DIAABYRonBRcQuMkkdYfWeXUS4FOenOLgEAcA64sBwAAMACQhQAAIAFhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABgASEKAADAAkIUAACABYQoAAAACwhRAAAAFhCiAAAALCBEAQAAWECIAgAAsIAQBQAAYAEhCgAAwAJCFAAAgAWEKAAAAAsIUQAAABYQogAAACwgRAEAAFhAiAIAALCAEAUAAGABIQoAAMACQhQAAIAFhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABgASEKAADAAkshqkuXLjp06FCx9iNHjqhLly7nWhMAAECVZylEJScn6+TJk8XaT5w4oS+++OKciwIAAKjqXCvSefv27fb/37lzpzIzM+3PCwsLtXz5ckVGRlZedQAAAFVUhUJU8+bNZbPZZLPZSvzazsvLS4mJiZVWHAAAQFVVoRC1Z88eGWN0xRVX6JtvvlFwcLB9mru7u0JCQuTi4lLpRQIAAFQ1FQpR0dHRkqTTp0+fl2IAAACqiwqFqL/76aeflJycrKysrGKh6umnnz7nwgAAAKoyS3fnvf322/rHP/6hp59+Wh9++KEWL15sfyxZsqTc43z++efq3bu3IiIiZLPZis07ZMgQ+zVYRY+2bds69MnPz9eIESMUFBQkb29v9enTR/v27bOyWgAAAOVm6UzUpEmT9Oyzz+qxxx47p4UfO3ZMzZo10913361bbrmlxD49e/bU7Nmz7c/d3d0dpo8cOVKffPKJ5s+fr8DAQI0ePVq9evXSli1buD4LAACcN5ZC1MGDB3Xbbbed88Lj4uIUFxd31j4eHh4KCwsrcdrhw4c1c+ZMzZkzR926dZMkzZ07V1FRUVq9erV69OhxzjUCAACUxNLXebfddptWrlxZ2bWUKDk5WSEhIWrYsKHuvfdeZWVl2adt2bJFBQUFio2NtbdFRESoSZMm2rBhQ6lj5ufn68iRIw4PAACAirB0Jqp+/foaP368Nm3apKZNm8rNzc1h+sMPP1wpxcXFxem2225TdHS09uzZo/Hjx6tLly7asmWLPDw8lJmZKXd3d9WqVcthvtDQUIcfAj3TlClTNHHixEqpEQAAXJoshai33npLPj4+Wr9+vdavX+8wzWazVVqIuv322+3/36RJE7Vq1UrR0dH69NNP1a9fv1LnM8bIZrOVOn3cuHEaNWqU/fmRI0cUFRVVKTUDAIBLg6UQtWfPnsquo1zCw8MVHR2tn3/+WZIUFhamkydP6uDBgw5no7KystS+fftSx/Hw8JCHh8d5rxcAAFy8LF0T5Sw5OTlKT09XeHi4JKlly5Zyc3PTqlWr7H0yMjK0Y8eOs4YoAACAc2XpTNTQoUPPOn3WrFnlGic3N1e7d++2P9+zZ4++++47BQQEKCAgQAkJCbrlllsUHh6uvXv36oknnlBQUJD69u0rSfL399ewYcM0evRoBQYGKiAgQGPGjFHTpk3td+sBAACcD5Z/4uDvCgoKtGPHDh06dKjEP0xcms2bN6tz587250XXKcXHx2vGjBn6/vvv9d577+nQoUMKDw9X586dtWDBAvn6+trnmTZtmlxdXdW/f3/l5eWpa9euSkpK4jeiAADAeWUpRC1evLhY2+nTpzV8+HBdccUV5R6nU6dOMsaUOn3FihVljuHp6anExEQlJiaWe7kAAADnqtKuiapRo4YeeeQRTZs2rbKGBAAAqLIq9cLyX375RadOnarMIQEAAKokS1/n/f03lqS/fpcpIyNDn376qeLj4yulMAAAgKrMUojaunWrw/MaNWooODhYL730Upl37gEAAFwMLIWodevWVXYdAAAA1YqlEFVk//792rVrl2w2mxo2bKjg4ODKqgsAAKBKsxSijh07phEjRui9997T6dOnJUkuLi4aPHiwEhMTVbNmzUotEgDOVWpqqrNLqJCgoCDVrl3b2WUAOAvLF5avX79en3zyia699lpJ0pdffqmHH35Yo0eP1owZMyq1SACwqjD3oGSz6a677nJ2KRXi6VVTu35MJUgBVZilELVw4UJ9+OGH6tSpk73thhtukJeXl/r370+IAlBlnM7PlYxRYK/RcguMcnY55VKQk66cpS8pOzubEAVUYZZC1PHjxxUaGlqsPSQkRMePHz/nogCgsrkFRskjrL6zywBwEbH0Y5vt2rXThAkTdOLECXtbXl6eJk6cqHbt2lVacQAAAFWVpTNR06dPV1xcnC6//HI1a9ZMNptN3333nTw8PLRy5crKrhEAAKDKsRSimjZtqp9//llz587Vjz/+KGOMBgwYoDvvvFNeXl6VXSMAAECVYylETZkyRaGhobr33nsd2mfNmqX9+/frscceq5TiAAAAqipL10S9+eabatSoUbH2K6+8Um+88cY5FwUAAFDVWQpRmZmZCg8PL9YeHBysjIyMcy4KAACgqrMUoqKiovTVV18Va//qq68UERFxzkUBAABUdZauibrnnns0cuRIFRQUqEuXLpKkNWvWaOzYsRo9enSlFggAAFAVWQpRY8eO1YEDBzR8+HCdPHlSkuTp6anHHntM48aNq9QCAQAAqiJLIcpms+m5557T+PHjlZqaKi8vLzVo0EAeHh6VXR8AAECVZClEFfHx8dE111xTWbUAAABUG5YuLAcAALjUEaIAAAAsIEQBAABYQIgCAACwgBAFAABgASEKAADAAkIUAACABYQoAAAACwhRAAAAFhCiAAAALCBEAQAAWECIAgAAsIAQBQAAYAEhCgAAwAJCFAAAgAWEKAAAAAsIUQAAABYQogAAACwgRAEAAFhAiAIAALCAEAUAAGABIQoAAMACQhQAAIAFhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABgASEKAADAAkIUAACABU4NUZ9//rl69+6tiIgI2Ww2LVmyxGG6MUYJCQmKiIiQl5eXOnXqpB9++MGhT35+vkaMGKGgoCB5e3urT58+2rdv3wVcCwAAcClyaog6duyYmjVrpldffbXE6c8//7ymTp2qV199VSkpKQoLC1P37t119OhRe5+RI0dq8eLFmj9/vr788kvl5uaqV69eKiwsvFCrAQAALkGuzlx4XFyc4uLiSpxmjNH06dP15JNPql+/fpKkd999V6GhoXr//fd1//336/Dhw5o5c6bmzJmjbt26SZLmzp2rqKgorV69Wj169Lhg6wIAAC4tVfaaqD179igzM1OxsbH2Ng8PD3Xs2FEbNmyQJG3ZskUFBQUOfSIiItSkSRN7HwAAgPPBqWeiziYzM1OSFBoa6tAeGhqq3377zd7H3d1dtWrVKtanaP6S5OfnKz8/3/78yJEjlVU2AAC4RFTZM1FFbDabw3NjTLG2M5XVZ8qUKfL397c/oqKiKqVWAABw6aiyISosLEySip1RysrKsp+dCgsL08mTJ3Xw4MFS+5Rk3LhxOnz4sP2Rnp5eydUDAICLXZUNUXXr1lVYWJhWrVplbzt58qTWr1+v9u3bS5JatmwpNzc3hz4ZGRnasWOHvU9JPDw85Ofn5/AAAACoCKdeE5Wbm6vdu3fbn+/Zs0ffffedAgICVLt2bY0cOVKTJ09WgwYN1KBBA02ePFk1a9bUwIEDJUn+/v4aNmyYRo8ercDAQAUEBGjMmDFq2rSp/W49AACA88GpIWrz5s3q3Lmz/fmoUaMkSfHx8UpKStLYsWOVl5en4cOH6+DBg2rTpo1WrlwpX19f+zzTpk2Tq6ur+vfvr7y8PHXt2lVJSUlycXG54OsDAAAuHU4NUZ06dZIxptTpNptNCQkJSkhIKLWPp6enEhMTlZiYeB4qBAAAKFmVvSYKAACgKiNEAQAAWECIAgAAsIAQBQAAYAEhCgAAwAJCFAAAgAWEKAAAAAsIUQAAABYQogAAACwgRAEAAFhAiAIAALCAEAUAAGABIQoAAMACQhQAAIAFhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABgASEKAADAAkIUAACABYQoAAAACwhRAAAAFhCiAAAALCBEAQAAWECIAgAAsIAQBQAAYAEhCgAAwAJCFAAAgAWEKAAAAAsIUQAAABYQogAAACwgRAEAAFhAiAIAALCAEAUAAGABIQoAAMACQhQAAIAFhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABgASEKAADAAldnF4CqKS0tTdnZ2c4uo9xSU1OdXQIA4BJDiEIxaWlpimnUWCfyjju7FAAAqixCFIrJzs7WibzjCuw1Wm6BUc4up1zyft2sw1/MdXYZAIBLCCEKpXILjJJHWH1nl1EuBTnpzi4BAHCJ4cJyAAAACwhRAAAAFhCiAAAALCBEAQAAWFClQ1RCQoJsNpvDIywszD7dGKOEhARFRETIy8tLnTp10g8//ODEigEAwKWiSocoSbryyiuVkZFhf3z//ff2ac8//7ymTp2qV199VSkpKQoLC1P37t119OhRJ1YMAAAuBVU+RLm6uiosLMz+CA4OlvTXWajp06frySefVL9+/dSkSRO9++67On78uN5//30nVw0AAC52VT5E/fzzz4qIiFDdunU1YMAA/frrr5KkPXv2KDMzU7Gxsfa+Hh4e6tixozZs2HDWMfPz83XkyBGHBwAAQEVU6RDVpk0bvffee1qxYoXefvttZWZmqn379srJyVFmZqYkKTQ01GGe0NBQ+7TSTJkyRf7+/vZHVFT1+FVuAABQdVTpEBUXF6dbbrlFTZs2Vbdu3fTpp59Kkt599117H5vN5jCPMaZY25nGjRunw4cP2x/p6fzaNQAAqJgqHaLO5O3traZNm+rnn3+236V35lmnrKysYmenzuTh4SE/Pz+HBwAAQEVUqxCVn5+v1NRUhYeHq27dugoLC9OqVavs00+ePKn169erffv2TqwSAABcCqr0HyAeM2aMevfurdq1aysrK0uTJk3SkSNHFB8fL5vNppEjR2ry5Mlq0KCBGjRooMmTJ6tmzZoaOHCgs0sHAAAXuSodovbt26c77rhD2dnZCg4OVtu2bbVp0yZFR0dLksaOHau8vDwNHz5cBw8eVJs2bbRy5Ur5+vo6uXIAOHepqanOLqFCgoKCVLt2bWeXAVwwVTpEzZ8//6zTbTabEhISlJCQcGEKAoALoDD3oGSz6a677nJ2KRXi6VVTu35MJUjhklGlQxQAXIpO5+dKxiiw12i5BVaPn2ApyElXztKXlJ2dTYjCJYMQBQBVlFtglDzC6ju7DAClqFZ35wEAAFQVhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABgASEKAADAAkIUAACABYQoAAAACwhRAAAAFhCiAAAALCBEAQAAWECIAgAAsIAQBQAAYAEhCgAAwAJCFAAAgAWEKAAAAAsIUQAAABYQogAAACwgRAEAAFhAiAIAALCAEAUAAGABIQoAAMACQhQAAIAFhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABggauzCwAAXDxSU1OdXUKFBAUFqXbt2s4uA9UUIQoAcM4Kcw9KNpvuuusuZ5dSIZ5eNbXrx1SCFCwhRAEAztnp/FzJGAX2Gi23wChnl1MuBTnpyln6krKzswlRsIQQBQCoNG6BUfIIq+/sMoALggvLAQAALCBEAQAAWECIAgAAsIAQBQAAYAEhCgAAwAJCFAAAgAWEKAAAAAsIUQAAABYQogAAACwgRAEAAFhAiAIAALCAEAUAAGABf4D4PEtLS1N2drazy6iQ1NRUZ5cAABdMdXvPCwoKUu3atZ1dBkSIOq/S0tIU06ixTuQdd3YpAIAzFOYelGw23XXXXc4upUI8PDy1cOGHCg8Pd3Yp5XaxBj9C1HmUnZ2tE3nHFdhrtNwCo5xdTrnl/bpZh7+Y6+wyAOC8Op2fKxlTrd6jT+z7QYfWvqNevXo5u5QK8fSqqV0/pl50QeqiCVGvv/66XnjhBWVkZOjKK6/U9OnTdf311zu7LEmSW2CUPMLqO7uMcivISXd2CQBwwVSn9+iCnPRqF/wKctKVs/QlZWdnE6KqogULFmjkyJF6/fXXde211+rNN99UXFycdu7cedHtMAAAqlPwu5hdFHfnTZ06VcOGDdM999yjxo0ba/r06YqKitKMGTOcXRoAALhIVfsQdfLkSW3ZskWxsbEO7bGxsdqwYYOTqgIAABe7av91XnZ2tgoLCxUaGurQHhoaqszMzBLnyc/PV35+vv354cOHJUlHjhyp1Npyc3P/Wl7mbp0+eaJSxz6fiq6Jqk51U/OFQc0XBjVfGNR8YRQc2Cfpr8/Eyv6cLRrPGFOp45abqeZ+//13I8ls2LDBoX3SpEkmJiamxHkmTJhgJPHgwYMHDx48LoJHenr6hYgcxVT7M1FBQUFycXEpdtYpKyur2NmpIuPGjdOoUaPsz0+fPq0DBw4oMDBQNpvtvNZ7KTly5IiioqKUnp4uPz8/Z5eDMrC/qh/2WfXC/qp8xhgdPXpUERERTll+tQ9R7u7uatmypVatWqW+ffva21etWqWbbrqpxHk8PDzk4eHh0HbZZZedzzIvaX5+frxhVCPsr+qHfVa9sL8ql7+/v9OWXe1DlCSNGjVKgwYNUqtWrdSuXTu99dZbSktL0wMPPODs0gAAwEXqoghRt99+u3JycvTMM88oIyNDTZo00bJlyxQdHe3s0gAAwEXqoghRkjR8+HANHz7c2WXgbzw8PDRhwoRiX52iamJ/VT/ss+qF/XXxsRnjrPsCAQAAqq9q/2ObAAAAzkCIAgAAsIAQBQAAYAEhCgAAwAJCFCrNwYMHNWjQIPn7+8vf31+DBg3SoUOHzjrPkCFDZLPZHB5t27a9MAVfgl5//XXVrVtXnp6eatmypb744ouz9l+/fr1atmwpT09PXXHFFXrjjTcuUKWQKra/kpOTix1LNptNP/744wWs+NL2+eefq3fv3oqIiJDNZtOSJUvKnIdjrHojRKHSDBw4UN99952WL1+u5cuX67vvvtOgQYPKnK9nz57KyMiwP5YtW3YBqr30LFiwQCNHjtSTTz6prVu36vrrr1dcXJzS0tJK7L9nzx7dcMMNuv7667V161Y98cQTevjhh7Vw4cILXPmlqaL7q8iuXbscjqcGDRpcoIpx7NgxNWvWTK+++mq5+nOMXQSc8hf7cNHZuXOnkWQ2bdpkb9u4caORZH788cdS54uPjzc33XTTBagQrVu3Ng888IBDW6NGjczjjz9eYv+xY8eaRo0aObTdf//9pm3btuetRvxPRffXunXrjCRz8ODBC1AdyiLJLF68+Kx9OMaqP85EoVJs3LhR/v7+atOmjb2tbdu28vf314YNG846b3JyskJCQtSwYUPde++9ysrKOt/lXnJOnjypLVu2KDY21qE9Nja21P2zcePGYv179OihzZs3q6Cg4LzVCmv7q0iLFi0UHh6url27at26deezTJwjjrHqjxCFSpGZmamQkJBi7SEhIcrMzCx1vri4OM2bN09r167VSy+9pJSUFHXp0kX5+fnns9xLTnZ2tgoLCxUaGurQHhoaWur+yczMLLH/qVOnlJ2dfd5qhbX9FR4errfeeksLFy7UokWLFBMTo65du+rzzz+/ECXDAo6x6u+i+bMvOD8SEhI0ceLEs/ZJSUmRJNlstmLTjDElthe5/fbb7f/fpEkTtWrVStHR0fr000/Vr18/i1WjNGfui7L2T0n9S2rH+VGR/RUTE6OYmBj783bt2ik9PV0vvviiOnTocF7rhHUcY9UbIQpn9dBDD2nAgAFn7VOnTh1t375df/75Z7Fp+/fvL/YvrbMJDw9XdHS0fv755wrXitIFBQXJxcWl2FmMrKysUvdPWFhYif1dXV0VGBh43mqFtf1VkrZt22ru3LmVXR4qCcdY9UeIwlkFBQUpKCiozH7t2rXT4cOH9c0336h169aSpK+//lqHDx9W+/bty728nJwcpaenKzw83HLNKM7d3V0tW7bUqlWr1LdvX3v7qlWrdNNNN5U4T7t27fTJJ584tK1cuVKtWrWSm5vbea33Umdlf5Vk69atHEtVGMfYRcCpl7XjotKzZ09z1VVXmY0bN5qNGzeapk2bml69ejn0iYmJMYsWLTLGGHP06FEzevRos2HDBrNnzx6zbt06065dOxMZGWmOHDnijFW4qM2fP9+4ubmZmTNnmp07d5qRI0cab29vs3fvXmOMMY8//rgZNGiQvf+vv/5qatasaR555BGzc+dOM3PmTOPm5mY+/PBDZ63CJaWi+2vatGlm8eLF5qeffjI7duwwjz/+uJFkFi5c6KxVuOQcPXrUbN261WzdutVIMlOnTjVbt241v/32mzGGY+xiRIhCpcnJyTF33nmn8fX1Nb6+vubOO+8sdru1JDN79mxjjDHHjx83sbGxJjg42Li5uZnatWub+Ph4k5aWduGLv0S89tprJjo62ri7u5urr77arF+/3j4tPj7edOzY0aF/cnKyadGihXF3dzd16tQxM2bMuMAVX9oqsr+ee+45U69ePePp6Wlq1aplrrvuOvPpp586oepLV9HPTJz5iI+PN8ZwjF2MbMb8/6vYAAAAUG78xAEAAIAFhCgAAAALCFEAAAAWEKIAAAAsIEQBAABYQIgCAACwgBAFAABgASEKQIk6deqkkSNHlrt/UlKSLrvssvNWz4VaRmWoU6eOpk+fXu7+CQkJat68+XmrB8D5QYgCcF5U5WBgs9m0ZMkSZ5dRqiFDhujmm292dhkAykCIAgAAsIAQBUDHjh3T4MGD5ePjo/DwcL300kvF+pw8eVJjx45VZGSkvL291aZNGyUnJ5c4XlJSkiZOnKht27bJZrPJZrMpKSlJkjR16lQ1bdpU3t7eioqK0vDhw5Wbm1uhelesWKHGjRvLx8dHPXv2VEZGhn1aSkqKunfvrqCgIPn7+6tjx4769ttv7dPr1KkjSerbt69sNpv9uVVZWVnq3bu3vLy8VLduXc2bN69Yn8OHD+u+++5TSEiI/Pz81KVLF23btq3E8RISEvTuu+/qo48+sm+7ou382GOPqWHDhqpZs6auuOIKjR8/XgUFBedUPwDrCFEA9Oijj2rdunVavHixVq5cqeTkZG3ZssWhz913362vvvpK8+fP1/bt23XbbbepZ8+e+vnnn4uNd/vtt2v06NG68sorlZGRoYyMDN1+++2SpBo1auiVV17Rjh079O6772rt2rUaO3ZsuWs9fvy4XnzxRc2ZM0eff/650tLSNGbMGPv0o0ePKj4+Xl988YU2bdqkBg0a6IYbbtDRo0cl/RWyJGn27NnKyMiwP7dqyJAh2rt3r9auXasPP/xQr7/+urKysuzTjTG68cYblZmZqWXLlmnLli26+uqr1bVrVx04cKDYeGPGjFH//v3t4TAjI0Pt27eXJPn6+iopKUk7d+7Uyy+/rLffflvTpk07p/oBnAMn/wFkAE529OhR4+7ububPn29vy8nJMV5eXuaf//ynMcaY3bt3G5vNZn7//XeHebt27WrGjRtnjDFm9uzZxt/f3z5twoQJplmzZmUu/4MPPjCBgYHlqnX27NlGktm9e7e97bXXXjOhoaGlznPq1Cnj6+trPvnkE3ubJLN48eJyLfNsdu3aZSSZTZs22dtSU1ONJDNt2jRjjDFr1qwxfn5+5sSJEw7z1qtXz7z55pvGmOLbKj4+3tx0001lLv/55583LVu2POf1AGCNq3MjHABn++WXX3Ty5Em1a9fO3hYQEKCYmBj782+//VbGGDVs2NBh3vz8fAUGBlZoeevWrdPkyZO1c+dOHTlyRKdOndKJEyd07NgxeXt7lzl/zZo1Va9ePfvz8PBwhzM/WVlZevrpp7V27Vr9+eefKiws1PHjx5WWllahOuPi4vTFF19IkqKjo/XDDz8U65OamipXV1e1atXK3taoUSOHOwi3bNmi3NzcYtspLy9Pv/zyS4Vq+vDDDzV9+nTt3r1bubm5OnXqlPz8/Co0BoDKQ4gCLnHGmDL7nD59Wi4uLtqyZYtcXFwcpvn4+JR7Wb/99ptuuOEGPfDAA/rXv/6lgIAAffnllxo2bFi5r+1xc3NzeG6z2RzWYciQIdq/f7+mT5+u6OhoeXh4qF27djp58mS565Skd955R3l5eSUus0jRcm02W6njnD59WuHh4SVeP1aRn2vYtGmTBgwYoIkTJ6pHjx7y9/fX/PnzS7x+DcCFQYgCLnH169eXm5ubNm3apNq1a0uSDh48qJ9++kkdO3aUJLVo0UKFhYXKysrS9ddfX65x3d3dVVhY6NC2efNmnTp1Si+99JJq1PjrkswPPvigEtdG+uKLL/T666/rhhtukCSlp6crOzvboY+bm1ux2s4UGRlZ5rIaN26sU6dOafPmzWrdurUkadeuXTp06JC9z9VXX63MzEy5urqW+yL2krbdV199pejoaD355JP2tt9++61c4wE4P7iwHLjE+fj4aNiwYXr00Ue1Zs0a7dixQ0OGDLGHHElq2LCh7rzzTg0ePFiLFi3Snj17lJKSoueee07Lli0rcdw6depoz549+u6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" ] diff --git a/src/distrx/transforms.py b/src/distrx/transforms.py index 1a61082..63a129e 100644 --- a/src/distrx/transforms.py +++ b/src/distrx/transforms.py @@ -41,28 +41,28 @@ def __init__(self, transform: str) -> None: self.transform = transform def __call__( - self, mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike + self, mu: npt.ArrayLike, sigma: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: match self.transform: case "log": - return self.log_trans(mu, sigma, n) + return self.log_trans(mu, sigma) case "logit": - return self.logit_trans(mu, sigma, n) + return self.logit_trans(mu, sigma) case "exp": - return self.exp_trans(mu, sigma, n) + return self.exp_trans(mu, sigma) case "expit": - return self.expit_trans(mu, sigma, n) + return self.expit_trans(mu, sigma) case _: raise ValueError(f"Invalid transform '{self.transform}'.") def log_trans( - self, mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike + self, mu: npt.ArrayLike, sigma: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: """Performs delta method on data under log transform .. math:: - \\log(mu), \\frac{\\sigma}{\\mu} \\cdot \\frac{1}{\\sqrt{n}} + \\log(mu), \\frac{\\sigma}{\\mu} Parameters ---------- @@ -77,16 +77,16 @@ def log_trans( Transformed mean and standard error """ log = c2fun_dict["log"] - return log(mu), sigma * log(mu, order=1) / np.sqrt(n) + return log(mu), sigma * log(mu, order=1) def logit_trans( - self, mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike + self, mu: npt.ArrayLike, sigma: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: """Performs delta method on data under logit transform .. math:: - \\log(\\frac{\\mu}{1 - \\mu}), \\frac{\\sigma}{\\mu \\cdot (1 - \\mu)} \\cdot \\frac{1}{\\sqrt{n}} + \\log(\\frac{\\mu}{1 - \\mu}), \\frac{\\sigma}{\\mu \\cdot (1 - \\mu)} Parameters ---------- @@ -101,16 +101,16 @@ def logit_trans( Transformed mean and standard error """ logit = c2fun_dict["logit"] - return logit(mu), sigma * logit(mu, order=1) / np.sqrt(n) + return logit(mu), sigma * logit(mu, order=1) def exp_trans( - self, mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike + self, mu: npt.ArrayLike, sigma: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: """Performs delta method on data under exponential transform .. math:: - \\exp(\\mu), \\sigma \\cdot \\exp(\\mu) \\cdot \\frac{1}{\\sqrt{n}} + \\exp(\\mu), \\sigma \\cdot \\exp(\\mu) Parameters ---------- @@ -125,16 +125,16 @@ def exp_trans( Transformed mean and standard error """ exp = c2fun_dict["exp"] - return exp(mu), sigma * exp(mu, order=1) / np.sqrt(n) + return exp(mu), sigma * exp(mu, order=1) def expit_trans( - self, mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike + self, mu: npt.ArrayLike, sigma: npt.ArrayLike ) -> Tuple[np.ndarray, np.ndarray]: """Performs delta method on data under expit transform .. math:: - \\frac{1}{1 + \\exp(-\\mu)}, \\sigma \\cdot \\frac{\\exp(\\mu)}{(1 + \\exp(\\mu))^2} \\cdot \\frac{1}{\\sqrt{n}} + \\frac{1}{1 + \\exp(-\\mu)}, \\sigma \\cdot \\frac{\\exp(\\mu)}{(1 + \\exp(\\mu))^2} Parameters ---------- @@ -149,7 +149,7 @@ def expit_trans( Transformed mean and standard error """ expit = c2fun_dict["expit"] - return expit(mu), sigma * expit(mu, order=1) / np.sqrt(n) + return expit(mu), sigma * expit(mu, order=1) class FirstOrderBivariate: @@ -226,7 +226,6 @@ def percentage_change_trans( def transform_univariate( mu: npt.ArrayLike, sigma: npt.ArrayLike, - n: npt.ArrayLike, transform: str, method: str = "delta", ) -> Tuple[np.ndarray, np.ndarray]: @@ -258,11 +257,11 @@ def transform_univariate( """ mu, sigma = np.array(mu), np.array(sigma) - _check_input(mu, sigma, n) + _check_input(mu, sigma) match method: case "delta": transformer = FirstOrder(transform) - return transformer(mu, sigma, n) + return transformer(mu, sigma) case _: raise ValueError(f"Invalid method '{method}'.") @@ -364,9 +363,7 @@ def transform_bivariate( # return delta_hat, np.sqrt(sigma_trans) -def _check_input( - mu: npt.ArrayLike, sigma: npt.ArrayLike, n: npt.ArrayLike -) -> None: +def _check_input(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> None: """Run checks on input data. Parameters @@ -382,7 +379,7 @@ def _check_input( """ # _check_lengths_match(mu, sigma) - _check_sigma_n_positive(sigma, n) + _check_sigma_positive(sigma) def _check_lengths_match(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> None: @@ -400,7 +397,7 @@ def _check_lengths_match(mu: npt.ArrayLike, sigma: npt.ArrayLike) -> None: raise ValueError("Lengths of mu and sigma don't match.") -def _check_sigma_n_positive(sigma: npt.ArrayLike, n: npt.ArrayLike) -> None: +def _check_sigma_positive(sigma: npt.ArrayLike) -> None: """Check that `sigma` is positive. Parameters @@ -413,7 +410,3 @@ def _check_sigma_n_positive(sigma: npt.ArrayLike, n: npt.ArrayLike) -> None: warnings.warn("Sigma vector contains zeros.") if np.any(sigma < 0.0): raise ValueError("Sigma values must be positive.") - if np.any(n == 0.0): - warnings.warn("Sigma vector contains zeros.") - if np.any(n < 0.0): - raise ValueError("Sigma values must be positive.") From 76bd5e15eda510da4eb73342c7a91ec39e6849f4 Mon Sep 17 00:00:00 2001 From: mbi6245 Date: Fri, 19 Jul 2024 16:24:49 -0700 Subject: [PATCH 32/32] fix test failures by removing sample size scaling in testing file --- tests/test_transforms.py | 16 ++++++++-------- 1 file changed, 8 insertions(+), 8 deletions(-) diff --git a/tests/test_transforms.py b/tests/test_transforms.py index 26e2d16..2caaaad 100644 --- a/tests/test_transforms.py +++ b/tests/test_transforms.py @@ -30,14 +30,14 @@ def test_method_name_valid(transform): """Raise ValueError for invalue `method`.""" with pytest.raises(ValueError): - transform_univariate(VALS, VALS, N, transform, method="dummy") + transform_univariate(VALS, VALS, transform, method="dummy") @pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) def test_input_len_match(transform): """Raise ValueError if lengths of input vectors don't match.""" with pytest.raises(ValueError): - transform_univariate(VALS, VALS * 2, N, transform) + transform_univariate(VALS, VALS * 2, transform) @pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) @@ -45,7 +45,7 @@ def test_sigma_negative(transform): """Raise ValueError if `sigma` contains negative values.""" vals = VALS + [-0.1] with pytest.raises(ValueError): - transform_univariate(vals, vals, N, transform) + transform_univariate(vals, vals, transform) @pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) @@ -53,7 +53,7 @@ def test_sigma_zero(transform): """Display warning if `sigma` contains zeros.""" vals = VALS + [0.0] with pytest.warns(UserWarning): - transform_univariate(vals, vals, N, transform) + transform_univariate(vals, vals, transform) def test_transform_name_valid(): @@ -66,7 +66,7 @@ def test_transform_name_valid(): @pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) def test_output_type(transform): """Output should be numpy arrays.""" - mu, sigma = transform_univariate(VALS, VALS, N, transform) + mu, sigma = transform_univariate(VALS, VALS, transform) assert isinstance(mu, np.ndarray) assert isinstance(sigma, np.ndarray) @@ -74,7 +74,7 @@ def test_output_type(transform): @pytest.mark.parametrize("transform", UNIVARIATE_TRANSFORM_LIST) def test_outout_len_match(transform): """Length of output vectors should match.""" - mu, sigma = transform_univariate(VALS, VALS, N, transform) + mu, sigma = transform_univariate(VALS, VALS, transform) assert len(mu) == len(sigma) @@ -84,8 +84,8 @@ def test_delta_result(transform): mu = np.random.uniform(0.1, 1.0, size=10) sigma = np.random.uniform(0.1, 1.0, size=10) mu_ref = UNIVARIATE_TRANSFORM_DICT[transform][0](mu) - sigma_ref = sigma * UNIVARIATE_TRANSFORM_DICT[transform][1](mu) / np.sqrt(N) - mu_trans, sigma_trans = transform_univariate(mu, sigma, N, transform) + sigma_ref = sigma * UNIVARIATE_TRANSFORM_DICT[transform][1](mu) + mu_trans, sigma_trans = transform_univariate(mu, sigma, transform) assert np.allclose(mu_trans, mu_ref) assert np.allclose(sigma_trans, sigma_ref)
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