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If the standard suite of rights granted under applicable copyright law includes additional rights not granted under this License, such additional rights are deemed to be included in the License; this License is not intended to restrict the license of any rights under applicable law. diff --git a/README.md b/README.md deleted file mode 100644 index c53707b..0000000 --- a/README.md +++ /dev/null @@ -1,93 +0,0 @@ -# The Minimal theme - -[![Build Status](https://travis-ci.org/pages-themes/minimal.svg?branch=master)](https://travis-ci.org/pages-themes/minimal) [![Gem Version](https://badge.fury.io/rb/jekyll-theme-minimal.svg)](https://badge.fury.io/rb/jekyll-theme-minimal) - -*Minimal is a Jekyll theme for GitHub Pages. You can [preview the theme to see what it looks like](http://pages-themes.github.io/minimal), or even [use it today](#usage).* - -![Thumbnail of minimal](thumbnail.png) - -## Usage - -To use the Minimal theme: - -1. Add the following to your site's `_config.yml`: - - ```yml - theme: jekyll-theme-minimal - ``` - -2. Optionally, if you'd like to preview your site on your computer, add the following to your site's `Gemfile`: - - ```ruby - gem "github-pages", group: :jekyll_plugins - ``` - - - -## Customizing - -### Configuration variables - -Minimal will respect the following variables, if set in your site's `_config.yml`: - -```yml -title: [The title of your site] -description: [A short description of your site's purpose] -``` - -Additionally, you may choose to set the following optional variables: - -```yml -logo: [Location of the logo] -show_downloads: ["true" or "false" to indicate whether to provide a download URL] -google_analytics: [Your Google Analytics tracking ID] -``` - -### Stylesheet - -If you'd like to add your own custom styles: - -1. Create a file called `/assets/css/style.scss` in your site -2. Add the following content to the top of the file, exactly as shown: - ```scss - --- - --- - - @import "{{ site.theme }}"; - ``` -3. Add any custom CSS (or Sass, including imports) you'd like immediately after the `@import` line - -### Layouts - -If you'd like to change the theme's HTML layout: - -1. [Copy the original template](https://github.com/pages-themes/minimal/blob/master/_layouts/default.html) from the theme's repository
(*Pro-tip: click "raw" to make copying easier*) -2. Create a file called `/_layouts/default.html` in your site -3. Paste the default layout content copied in the first step -4. Customize the layout as you'd like - -## Roadmap - -See the [open issues](https://github.com/pages-themes/minimal/issues) for a list of proposed features (and known issues). - -## Project philosophy - -The Minimal theme is intended to make it quick and easy for GitHub Pages users to create their first (or 100th) website. The theme should meet the vast majority of users' needs out of the box, erring on the side of simplicity rather than flexibility, and provide users the opportunity to opt-in to additional complexity if they have specific needs or wish to further customize their experience (such as adding custom CSS or modifying the default layout). It should also look great, but that goes without saying. - -## Contributing - -Interested in contributing to Minimal? We'd love your help. Minimal is an open source project, built one contribution at a time by users like you. See [the CONTRIBUTING file](docs/CONTRIBUTING.md) for instructions on how to contribute. - -### Previewing the theme locally - -If you'd like to preview the theme locally (for example, in the process of proposing a change): - -1. Clone down the theme's repository (`git clone https://github.com/pages-themes/minimal`) -2. `cd` into the theme's directory -3. Run `script/bootstrap` to install the necessary dependencies -4. Run `bundle exec jekyll serve` to start the preview server -5. Visit [`localhost:4000`](http://localhost:4000) in your browser to preview the theme - -### Running tests - -The theme contains a minimal test suite, to ensure a site with the theme would build successfully. To run the tests, simply run `script/cibuild`. You'll need to run `script/bootstrap` one before the test script will work. diff --git a/README.txt b/README.txt new file mode 100644 index 0000000..aba558f --- /dev/null +++ b/README.txt @@ -0,0 +1,32 @@ +Massively by HTML5 UP +html5up.net | @ajlkn +Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) + + +This is Massively, a text-heavy, article-oriented design built around a huge background +image (with a new parallax implementation I'm testing) and scroll effects (powered by +Scrollex). A *slight* departure from all the one-pagers I've been doing lately, but one +that fulfills a few user requests and makes use of some new techniques I've been wanting +to try out. Enjoy it :) + +Demo images* courtesy of Unsplash, a radtastic collection of CC0 (public domain) images +you can use for pretty much whatever. + +(* = not included) + +AJ +aj@lkn.io | @ajlkn + + +Credits: + + Demo Images: + Unsplash (unsplash.com) + + Icons: + Font Awesome (fontawesome.io) + + Other: + jQuery (jquery.com) + Scrollex (github.com/ajlkn/jquery.scrollex) + Responsive Tools (github.com/ajlkn/responsive-tools) \ No newline at end of file diff --git a/assets/css/fontawesome-all.min.css b/assets/css/fontawesome-all.min.css new file mode 100644 index 0000000..b7d052b --- /dev/null +++ b/assets/css/fontawesome-all.min.css @@ -0,0 +1,5 @@ +/*! + * Font Awesome Free 5.9.0 by @fontawesome - https://fontawesome.com + * License - https://fontawesome.com/license/free (Icons: CC BY 4.0, Fonts: SIL OFL 1.1, Code: MIT License) + */ 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+ + h1, h2, h3, h4, h5, h6 { + color: #212931; + } + + blockquote { + border-left-color: #eeeeee; + } + + code { + background: rgba(220, 220, 220, 0.25); + border-color: #eeeeee; + } + + hr { + border-bottom-color: #eeeeee; + } + +/* Row */ + + .row { + display: flex; + flex-wrap: wrap; + box-sizing: border-box; + align-items: stretch; + } + + .row > * { + box-sizing: border-box; + } + + .row.gtr-uniform > * > :last-child { + margin-bottom: 0; + } + + .row.aln-left { + justify-content: flex-start; + } + + .row.aln-center { + justify-content: center; + } + + .row.aln-right { + justify-content: flex-end; + } + + .row.aln-top { + align-items: flex-start; + } + + .row.aln-middle { + align-items: center; + } + + .row.aln-bottom { + align-items: flex-end; + } + + .row > .imp { + order: -1; + } + + .row > .col-1 { + width: 8.33333%; + } + + .row > .off-1 { + margin-left: 8.33333%; + } + + .row > .col-2 { + width: 16.66667%; + } + + .row > .off-2 { + margin-left: 16.66667%; + } + + .row > .col-3 { + width: 25%; + } + + .row > .off-3 { + margin-left: 25%; + } + + .row > .col-4 { + width: 33.33333%; + } + + .row > .off-4 { + margin-left: 33.33333%; + } + + .row > .col-5 { + width: 41.66667%; + } + + .row > .off-5 { + margin-left: 41.66667%; + } + + .row > .col-6 { + width: 50%; + } + + .row > .off-6 { + margin-left: 50%; + } + + .row > .col-7 { + width: 58.33333%; + } + + .row > .off-7 { + margin-left: 58.33333%; + } + + .row > .col-8 { + width: 66.66667%; + } + + .row > .off-8 { + margin-left: 66.66667%; + } + + .row > .col-9 { + width: 75%; + } + + .row > .off-9 { + margin-left: 75%; + } + + .row > .col-10 { + width: 83.33333%; + } + + .row > .off-10 { + margin-left: 83.33333%; + } + + .row > .col-11 { + width: 91.66667%; + } + + .row > .off-11 { + margin-left: 91.66667%; + } + + .row > .col-12 { + width: 100%; + } + + .row > .off-12 { + margin-left: 100%; + } + + .row.gtr-0 { + margin-top: 0; + margin-left: 0rem; + } + + .row.gtr-0 > * { + padding: 0 0 0 0rem; + } + + .row.gtr-0.gtr-uniform { + margin-top: 0rem; + } + + .row.gtr-0.gtr-uniform > * { + padding-top: 0rem; + } + + .row.gtr-25 { + margin-top: 0; + margin-left: -0.375rem; + } + + .row.gtr-25 > * { + padding: 0 0 0 0.375rem; + } + + .row.gtr-25.gtr-uniform { + margin-top: -0.375rem; + } + + .row.gtr-25.gtr-uniform > * { + padding-top: 0.375rem; + } + + .row.gtr-50 { + margin-top: 0; + margin-left: -0.75rem; + } + + .row.gtr-50 > * { + padding: 0 0 0 0.75rem; + } + + .row.gtr-50.gtr-uniform { + margin-top: -0.75rem; + } + + .row.gtr-50.gtr-uniform > * { + padding-top: 0.75rem; + } + + .row { + margin-top: 0; + margin-left: -1.5rem; + } + + .row > * { + padding: 0 0 0 1.5rem; + } + + .row.gtr-uniform { + margin-top: -1.5rem; + } + + .row.gtr-uniform > * { + padding-top: 1.5rem; + } + + .row.gtr-150 { + margin-top: 0; + margin-left: -2.25rem; + } + + .row.gtr-150 > * { + padding: 0 0 0 2.25rem; + } + + .row.gtr-150.gtr-uniform { + margin-top: -2.25rem; + } + + .row.gtr-150.gtr-uniform > * { + padding-top: 2.25rem; + } + + .row.gtr-200 { + margin-top: 0; + margin-left: -3rem; + } + + .row.gtr-200 > * { + padding: 0 0 0 3rem; + } + + .row.gtr-200.gtr-uniform { + margin-top: -3rem; + } + + .row.gtr-200.gtr-uniform > * { + padding-top: 3rem; + } + + @media screen and (max-width: 1680px) { + + .row { + display: flex; + flex-wrap: wrap; + box-sizing: border-box; + align-items: stretch; + } + + .row > * { + box-sizing: border-box; + } + + .row.gtr-uniform > * > :last-child { + margin-bottom: 0; + } + + .row.aln-left { + justify-content: flex-start; + } + + .row.aln-center { + justify-content: center; + } + + .row.aln-right { + justify-content: flex-end; + } + + .row.aln-top { + align-items: flex-start; + } + + .row.aln-middle { + align-items: center; + } + + .row.aln-bottom { + align-items: flex-end; + } + + .row > .imp-xlarge { + order: -1; + } + + .row > .col-1-xlarge { + width: 8.33333%; + } + + .row > .off-1-xlarge { + margin-left: 8.33333%; + } + + .row > .col-2-xlarge { + width: 16.66667%; + } + + .row > .off-2-xlarge { + margin-left: 16.66667%; + } + + .row > .col-3-xlarge { + width: 25%; + } + + .row > .off-3-xlarge { + margin-left: 25%; + } + + .row > .col-4-xlarge { + width: 33.33333%; + } + + .row > .off-4-xlarge { + margin-left: 33.33333%; + } + + .row > .col-5-xlarge { + width: 41.66667%; + } + + .row > .off-5-xlarge { + margin-left: 41.66667%; + } + + .row > .col-6-xlarge { + width: 50%; + } + + .row > .off-6-xlarge { + margin-left: 50%; + } + + .row > .col-7-xlarge { + width: 58.33333%; + } + + .row > .off-7-xlarge { + margin-left: 58.33333%; + } + + .row > .col-8-xlarge { + width: 66.66667%; + } + + .row > .off-8-xlarge { + margin-left: 66.66667%; + } + + .row > .col-9-xlarge { + width: 75%; + } + + .row > .off-9-xlarge { + margin-left: 75%; + } + + .row > .col-10-xlarge { + width: 83.33333%; + } + + .row > .off-10-xlarge { + margin-left: 83.33333%; + } + + .row > .col-11-xlarge { + width: 91.66667%; + } + + .row > .off-11-xlarge { + margin-left: 91.66667%; + } + + .row > .col-12-xlarge { + width: 100%; + } + + .row > .off-12-xlarge { + margin-left: 100%; + } + + .row.gtr-0 { + margin-top: 0; + margin-left: 0rem; + } + + .row.gtr-0 > * { + padding: 0 0 0 0rem; + } + + .row.gtr-0.gtr-uniform { + margin-top: 0rem; + } + + .row.gtr-0.gtr-uniform > * { + padding-top: 0rem; + } + + .row.gtr-25 { + margin-top: 0; + margin-left: -0.375rem; + } + + .row.gtr-25 > * { + padding: 0 0 0 0.375rem; + } + + .row.gtr-25.gtr-uniform { + margin-top: -0.375rem; + } + + .row.gtr-25.gtr-uniform > * { + padding-top: 0.375rem; + } + + .row.gtr-50 { + margin-top: 0; + margin-left: -0.75rem; + } + + .row.gtr-50 > * { + padding: 0 0 0 0.75rem; + } + + .row.gtr-50.gtr-uniform { + margin-top: -0.75rem; + } + + .row.gtr-50.gtr-uniform > * { + padding-top: 0.75rem; + } + + .row { + margin-top: 0; + margin-left: -1.5rem; + } + + .row > * { + padding: 0 0 0 1.5rem; + } + + .row.gtr-uniform { + margin-top: -1.5rem; + } + + .row.gtr-uniform > * { + padding-top: 1.5rem; + } + + .row.gtr-150 { + margin-top: 0; + margin-left: -2.25rem; + } + + .row.gtr-150 > * { + padding: 0 0 0 2.25rem; + } + + .row.gtr-150.gtr-uniform { + margin-top: -2.25rem; + } + + .row.gtr-150.gtr-uniform > * { + padding-top: 2.25rem; + } + + .row.gtr-200 { + margin-top: 0; + margin-left: -3rem; + } + + .row.gtr-200 > * { + padding: 0 0 0 3rem; + } + + .row.gtr-200.gtr-uniform { + margin-top: -3rem; + } + + .row.gtr-200.gtr-uniform > * { + padding-top: 3rem; + } + + } + + @media screen and (max-width: 1280px) { + + .row { + display: flex; + flex-wrap: wrap; + box-sizing: border-box; + align-items: stretch; + } + + .row > * { + box-sizing: border-box; + } + + .row.gtr-uniform > * > :last-child { + margin-bottom: 0; + } + + .row.aln-left { + justify-content: flex-start; + } + + .row.aln-center { + justify-content: center; + } + + .row.aln-right { + justify-content: flex-end; + } + + .row.aln-top { + align-items: flex-start; + } + + .row.aln-middle { + align-items: center; + } + + .row.aln-bottom { + align-items: flex-end; + } + + .row > .imp-large { + order: -1; + } + + .row > .col-1-large { + width: 8.33333%; + } + + .row > .off-1-large { + margin-left: 8.33333%; + } + + .row > .col-2-large { + width: 16.66667%; + } + + .row > .off-2-large { + margin-left: 16.66667%; + } + + .row > .col-3-large { + width: 25%; + } + + .row > .off-3-large { + margin-left: 25%; + } + + .row > .col-4-large { + width: 33.33333%; + } + + .row > .off-4-large { + margin-left: 33.33333%; + } + + .row > .col-5-large { + width: 41.66667%; + } + + .row > .off-5-large { + margin-left: 41.66667%; + } + + .row > .col-6-large { + width: 50%; + } + + .row > .off-6-large { + margin-left: 50%; + } + + .row > .col-7-large { + width: 58.33333%; + } + + .row > .off-7-large { + margin-left: 58.33333%; + } + + .row > .col-8-large { + width: 66.66667%; + } + + .row > .off-8-large { + margin-left: 66.66667%; + } + + .row > .col-9-large { + width: 75%; + } + + .row > .off-9-large { + margin-left: 75%; + } + + .row > .col-10-large { + width: 83.33333%; + } + + .row > .off-10-large { + margin-left: 83.33333%; + } + + .row > .col-11-large { + width: 91.66667%; + } + + .row > .off-11-large { + margin-left: 91.66667%; + } + + .row > .col-12-large { + width: 100%; + } + + .row > .off-12-large { + margin-left: 100%; + } + + .row.gtr-0 { + margin-top: 0; + margin-left: 0rem; + } + + .row.gtr-0 > * { + padding: 0 0 0 0rem; + } + + .row.gtr-0.gtr-uniform { + margin-top: 0rem; + } + + .row.gtr-0.gtr-uniform > * { + padding-top: 0rem; + } + + .row.gtr-25 { + margin-top: 0; + margin-left: -0.375rem; + } + + .row.gtr-25 > * { + padding: 0 0 0 0.375rem; + } + + .row.gtr-25.gtr-uniform { + margin-top: -0.375rem; + } + + .row.gtr-25.gtr-uniform > * { + padding-top: 0.375rem; + } + + .row.gtr-50 { + margin-top: 0; + margin-left: -0.75rem; + } + + .row.gtr-50 > * { + padding: 0 0 0 0.75rem; + } + + .row.gtr-50.gtr-uniform { + margin-top: -0.75rem; + } + + .row.gtr-50.gtr-uniform > * { + padding-top: 0.75rem; + } + + .row { + margin-top: 0; + margin-left: -1.5rem; + } + + .row > * { + padding: 0 0 0 1.5rem; + } + + .row.gtr-uniform { + margin-top: -1.5rem; + } + + .row.gtr-uniform > * { + padding-top: 1.5rem; + } + + .row.gtr-150 { + margin-top: 0; + margin-left: -2.25rem; + } + + .row.gtr-150 > * { + padding: 0 0 0 2.25rem; + } + + .row.gtr-150.gtr-uniform { + margin-top: -2.25rem; + } + + .row.gtr-150.gtr-uniform > * { + padding-top: 2.25rem; + } + + .row.gtr-200 { + margin-top: 0; + margin-left: -3rem; + } + + .row.gtr-200 > * { + padding: 0 0 0 3rem; + } + + .row.gtr-200.gtr-uniform { + margin-top: -3rem; + } + + .row.gtr-200.gtr-uniform > * { + padding-top: 3rem; + } + + } + + @media screen and (max-width: 980px) { + + .row { + display: flex; + flex-wrap: wrap; + box-sizing: border-box; + align-items: stretch; + } + + .row > * { + box-sizing: border-box; + } + + .row.gtr-uniform > * > :last-child { + margin-bottom: 0; + } + + .row.aln-left { + justify-content: flex-start; + } + + .row.aln-center { + justify-content: center; + } + + .row.aln-right { + justify-content: flex-end; + } + + .row.aln-top { + align-items: flex-start; + } + + .row.aln-middle { + align-items: center; + } + + .row.aln-bottom { + align-items: flex-end; + } + + .row > .imp-medium { + order: -1; + } + + .row > .col-1-medium { + width: 8.33333%; + } + + .row > .off-1-medium { + margin-left: 8.33333%; + } + + .row > .col-2-medium { + width: 16.66667%; + } + + .row > .off-2-medium { + margin-left: 16.66667%; + } + + .row > .col-3-medium { + width: 25%; + } + + .row > .off-3-medium { + margin-left: 25%; + } + + .row > .col-4-medium { + width: 33.33333%; + } + + .row > .off-4-medium { + margin-left: 33.33333%; + } + + .row > .col-5-medium { + width: 41.66667%; + } + + .row > .off-5-medium { + margin-left: 41.66667%; + } + + .row > .col-6-medium { + width: 50%; + } + + .row > .off-6-medium { + margin-left: 50%; + } + + .row > .col-7-medium { + width: 58.33333%; + } + + .row > .off-7-medium { + margin-left: 58.33333%; + } + + .row > .col-8-medium { + width: 66.66667%; + } + + .row > .off-8-medium { + margin-left: 66.66667%; + } + + .row > .col-9-medium { + width: 75%; + } + + .row > .off-9-medium { + margin-left: 75%; + } + + .row > .col-10-medium { + width: 83.33333%; + } + + .row > .off-10-medium { + margin-left: 83.33333%; + } + + .row > .col-11-medium { + width: 91.66667%; + } + + .row > .off-11-medium { + margin-left: 91.66667%; + } + + .row > .col-12-medium { + width: 100%; + } + + .row > .off-12-medium { + margin-left: 100%; + } + + .row.gtr-0 { + margin-top: 0; + margin-left: 0rem; + } + + .row.gtr-0 > * { + padding: 0 0 0 0rem; + } + + .row.gtr-0.gtr-uniform { + margin-top: 0rem; + } + + .row.gtr-0.gtr-uniform > * { + padding-top: 0rem; + } + + .row.gtr-25 { + margin-top: 0; + margin-left: -0.375rem; + } + + .row.gtr-25 > * { + padding: 0 0 0 0.375rem; + } + + .row.gtr-25.gtr-uniform { + margin-top: -0.375rem; + } + + .row.gtr-25.gtr-uniform > * { + padding-top: 0.375rem; + } + + .row.gtr-50 { + margin-top: 0; + margin-left: -0.75rem; + } + + .row.gtr-50 > * { + padding: 0 0 0 0.75rem; + } + + .row.gtr-50.gtr-uniform { + margin-top: -0.75rem; + } + + .row.gtr-50.gtr-uniform > * { + padding-top: 0.75rem; + } + + .row { + margin-top: 0; + margin-left: -1.5rem; + } + + .row > * { + padding: 0 0 0 1.5rem; + } + + .row.gtr-uniform { + margin-top: -1.5rem; + } + + .row.gtr-uniform > * { + padding-top: 1.5rem; + } + + .row.gtr-150 { + margin-top: 0; + margin-left: -2.25rem; + } + + .row.gtr-150 > * { + padding: 0 0 0 2.25rem; + } + + .row.gtr-150.gtr-uniform { + margin-top: -2.25rem; + } + + .row.gtr-150.gtr-uniform > * { + padding-top: 2.25rem; + } + + .row.gtr-200 { + margin-top: 0; + margin-left: -3rem; + } + + .row.gtr-200 > * { + padding: 0 0 0 3rem; + } + + .row.gtr-200.gtr-uniform { + margin-top: -3rem; + } + + .row.gtr-200.gtr-uniform > * { + padding-top: 3rem; + } + + } + + @media screen and (max-width: 736px) { + + .row { + display: flex; + flex-wrap: wrap; + box-sizing: border-box; + align-items: stretch; + } + + .row > * { + box-sizing: border-box; + } + + .row.gtr-uniform > * > :last-child { + margin-bottom: 0; + } + + .row.aln-left { + justify-content: flex-start; + } + + .row.aln-center { + justify-content: center; + } + + .row.aln-right { + justify-content: flex-end; + } + + .row.aln-top { + align-items: flex-start; + } + + .row.aln-middle { + align-items: center; + } + + .row.aln-bottom { + align-items: flex-end; + } + + .row > .imp-small { + order: -1; + } + + .row > .col-1-small { + width: 8.33333%; + } + + .row > .off-1-small { + margin-left: 8.33333%; + } + + .row > .col-2-small { + width: 16.66667%; + } + + .row > .off-2-small { + margin-left: 16.66667%; + } + + .row > .col-3-small { + width: 25%; + } + + .row > .off-3-small { + margin-left: 25%; + } + + .row > .col-4-small { + width: 33.33333%; + } + + .row > .off-4-small { + margin-left: 33.33333%; + } + + .row > .col-5-small { + width: 41.66667%; + } + + .row > .off-5-small { + margin-left: 41.66667%; + } + + .row > .col-6-small { + width: 50%; + } + + .row > .off-6-small { + margin-left: 50%; + } + + .row > .col-7-small { + width: 58.33333%; + } + + .row > .off-7-small { + margin-left: 58.33333%; + } + + .row > .col-8-small { + width: 66.66667%; + } + + .row > .off-8-small { + margin-left: 66.66667%; + } + + .row > .col-9-small { + width: 75%; + } + + .row > .off-9-small { + margin-left: 75%; + } + + .row > .col-10-small { + width: 83.33333%; + } + + .row > .off-10-small { + margin-left: 83.33333%; + } + + .row > .col-11-small { + width: 91.66667%; + } + + .row > .off-11-small { + margin-left: 91.66667%; + } + + .row > .col-12-small { + width: 100%; + } + + .row > .off-12-small { + margin-left: 100%; + } + + .row.gtr-0 { + margin-top: 0; + margin-left: 0rem; + } + + .row.gtr-0 > * { + padding: 0 0 0 0rem; + } + + .row.gtr-0.gtr-uniform { + margin-top: 0rem; + } + + .row.gtr-0.gtr-uniform > * { + padding-top: 0rem; + } + + .row.gtr-25 { + margin-top: 0; + margin-left: -0.375rem; + } + + .row.gtr-25 > * { + padding: 0 0 0 0.375rem; + } + + .row.gtr-25.gtr-uniform { + margin-top: -0.375rem; + } + + .row.gtr-25.gtr-uniform > * { + padding-top: 0.375rem; + } + + .row.gtr-50 { + margin-top: 0; + margin-left: -0.75rem; + } + + .row.gtr-50 > * { + padding: 0 0 0 0.75rem; + } + + .row.gtr-50.gtr-uniform { + margin-top: -0.75rem; + } + + .row.gtr-50.gtr-uniform > * { + padding-top: 0.75rem; + } + + .row { + margin-top: 0; + margin-left: -1.5rem; + } + + .row > * { + padding: 0 0 0 1.5rem; + } + + .row.gtr-uniform { + margin-top: -1.5rem; + } + + .row.gtr-uniform > * { + padding-top: 1.5rem; + } + + .row.gtr-150 { + margin-top: 0; + margin-left: -2.25rem; + } + + .row.gtr-150 > * { + padding: 0 0 0 2.25rem; + } + + .row.gtr-150.gtr-uniform { + margin-top: -2.25rem; + } + + .row.gtr-150.gtr-uniform > * { + padding-top: 2.25rem; + } + + .row.gtr-200 { + margin-top: 0; + margin-left: -3rem; + } + + .row.gtr-200 > * { + padding: 0 0 0 3rem; + } + + .row.gtr-200.gtr-uniform { + margin-top: -3rem; + } + + .row.gtr-200.gtr-uniform > * { + padding-top: 3rem; + } + + } + + @media screen and (max-width: 480px) { + + .row { + display: flex; + flex-wrap: wrap; + box-sizing: border-box; + align-items: stretch; + } + + .row > * { + box-sizing: border-box; + } + + .row.gtr-uniform > * > :last-child { + margin-bottom: 0; + } + + .row.aln-left { + justify-content: flex-start; + } + + .row.aln-center { + justify-content: center; + } + + .row.aln-right { + justify-content: flex-end; + } + + .row.aln-top { + align-items: flex-start; + } + + .row.aln-middle { + align-items: center; + } + + .row.aln-bottom { + align-items: flex-end; + } + + .row > .imp-xsmall { + order: -1; + } + + .row > .col-1-xsmall { + width: 8.33333%; + } + + .row > .off-1-xsmall { + margin-left: 8.33333%; + } + + .row > .col-2-xsmall { + width: 16.66667%; + } + + .row > .off-2-xsmall { + margin-left: 16.66667%; + } + + .row > .col-3-xsmall { + width: 25%; + } + + .row > .off-3-xsmall { + margin-left: 25%; + } + + .row > .col-4-xsmall { + width: 33.33333%; + } + + .row > .off-4-xsmall { + margin-left: 33.33333%; + } + + .row > .col-5-xsmall { + width: 41.66667%; + } + + .row > .off-5-xsmall { + margin-left: 41.66667%; + } + + .row > .col-6-xsmall { + width: 50%; + } + + .row > .off-6-xsmall { + margin-left: 50%; + } + + .row > .col-7-xsmall { + width: 58.33333%; + } + + .row > .off-7-xsmall { + margin-left: 58.33333%; + } + + .row > .col-8-xsmall { + width: 66.66667%; + } + + .row > .off-8-xsmall { + margin-left: 66.66667%; + } + + .row > .col-9-xsmall { + width: 75%; + } + + .row > .off-9-xsmall { + margin-left: 75%; + } + + .row > .col-10-xsmall { + width: 83.33333%; + } + + .row > .off-10-xsmall { + margin-left: 83.33333%; + } + + .row > .col-11-xsmall { + width: 91.66667%; + } + + .row > .off-11-xsmall { + margin-left: 91.66667%; + } + + .row > .col-12-xsmall { + width: 100%; + } + + .row > .off-12-xsmall { + margin-left: 100%; + } + + .row.gtr-0 { + margin-top: 0; + margin-left: 0rem; + } + + .row.gtr-0 > * { + padding: 0 0 0 0rem; + } + + .row.gtr-0.gtr-uniform { + margin-top: 0rem; + } + + .row.gtr-0.gtr-uniform > * { + padding-top: 0rem; + } + + .row.gtr-25 { + margin-top: 0; + margin-left: -0.375rem; + } + + .row.gtr-25 > * { + padding: 0 0 0 0.375rem; + } + + .row.gtr-25.gtr-uniform { + margin-top: -0.375rem; + } + + .row.gtr-25.gtr-uniform > * { + padding-top: 0.375rem; + } + + .row.gtr-50 { + margin-top: 0; + margin-left: -0.75rem; + } + + .row.gtr-50 > * { + padding: 0 0 0 0.75rem; + } + + .row.gtr-50.gtr-uniform { + margin-top: -0.75rem; + } + + .row.gtr-50.gtr-uniform > * { + padding-top: 0.75rem; + } + + .row { + margin-top: 0; + margin-left: -1.5rem; + } + + .row > * { + padding: 0 0 0 1.5rem; + } + + .row.gtr-uniform { + margin-top: -1.5rem; + } + + .row.gtr-uniform > * { + padding-top: 1.5rem; + } + + .row.gtr-150 { + margin-top: 0; + margin-left: -2.25rem; + } + + .row.gtr-150 > * { + padding: 0 0 0 2.25rem; + } + + .row.gtr-150.gtr-uniform { + margin-top: -2.25rem; + } + + .row.gtr-150.gtr-uniform > * { + padding-top: 2.25rem; + } + + .row.gtr-200 { + margin-top: 0; + margin-left: -3rem; + } + + .row.gtr-200 > * { + padding: 0 0 0 3rem; + } + + .row.gtr-200.gtr-uniform { + margin-top: -3rem; + } + + .row.gtr-200.gtr-uniform > * { + padding-top: 3rem; + } + + } + + @media screen and (max-width: 360px) { + + .row { + display: flex; + flex-wrap: wrap; + box-sizing: border-box; + align-items: stretch; + } + + .row > * { + box-sizing: border-box; + } + + .row.gtr-uniform > * > :last-child { + margin-bottom: 0; + } + + .row.aln-left { + justify-content: flex-start; + } + + .row.aln-center { + justify-content: center; + } + + .row.aln-right { + justify-content: flex-end; + } + + .row.aln-top { + align-items: flex-start; + } + + .row.aln-middle { + align-items: center; + } + + .row.aln-bottom { + align-items: flex-end; + } + + .row > .imp-xxsmall { + order: -1; + } + + .row > .col-1-xxsmall { + width: 8.33333%; + } + + .row > .off-1-xxsmall { + margin-left: 8.33333%; + } + + .row > .col-2-xxsmall { + width: 16.66667%; + } + + .row > .off-2-xxsmall { + margin-left: 16.66667%; + } + + .row > .col-3-xxsmall { + width: 25%; + } + + .row > .off-3-xxsmall { + margin-left: 25%; + } + + .row > .col-4-xxsmall { + width: 33.33333%; + } + + .row > .off-4-xxsmall { + margin-left: 33.33333%; + } + + .row > .col-5-xxsmall { + width: 41.66667%; + } + + .row > .off-5-xxsmall { + margin-left: 41.66667%; + } + + .row > .col-6-xxsmall { + width: 50%; + } + + .row > .off-6-xxsmall { + margin-left: 50%; + } + + .row > .col-7-xxsmall { + width: 58.33333%; + } + + .row > .off-7-xxsmall { + margin-left: 58.33333%; + } + + .row > .col-8-xxsmall { + width: 66.66667%; + } + + .row > .off-8-xxsmall { + margin-left: 66.66667%; + } + + .row > .col-9-xxsmall { + width: 75%; + } + + .row > .off-9-xxsmall { + margin-left: 75%; + } + + .row > .col-10-xxsmall { + width: 83.33333%; + } + + .row > .off-10-xxsmall { + margin-left: 83.33333%; + } + + .row > .col-11-xxsmall { + width: 91.66667%; + } + + .row > .off-11-xxsmall { + margin-left: 91.66667%; + } + + .row > .col-12-xxsmall { + width: 100%; + } + + .row > .off-12-xxsmall { + margin-left: 100%; + } + + .row.gtr-0 { + margin-top: 0; + margin-left: 0rem; + } + + .row.gtr-0 > * { + padding: 0 0 0 0rem; + } + + .row.gtr-0.gtr-uniform { + margin-top: 0rem; + } + + .row.gtr-0.gtr-uniform > * { + padding-top: 0rem; + } + + .row.gtr-25 { + margin-top: 0; + margin-left: -0.375rem; + } + + .row.gtr-25 > * { + padding: 0 0 0 0.375rem; + } + + .row.gtr-25.gtr-uniform { + margin-top: -0.375rem; + } + + .row.gtr-25.gtr-uniform > * { + padding-top: 0.375rem; + } + + .row.gtr-50 { + margin-top: 0; + margin-left: -0.75rem; + } + + .row.gtr-50 > * { + padding: 0 0 0 0.75rem; + } + + .row.gtr-50.gtr-uniform { + margin-top: -0.75rem; + } + + .row.gtr-50.gtr-uniform > * { + padding-top: 0.75rem; + } + + .row { + margin-top: 0; + margin-left: -1.5rem; + } + + .row > * { + padding: 0 0 0 1.5rem; + } + + .row.gtr-uniform { + margin-top: -1.5rem; + } + + .row.gtr-uniform > * { + padding-top: 1.5rem; + } + + .row.gtr-150 { + margin-top: 0; + margin-left: -2.25rem; + } + + .row.gtr-150 > * { + padding: 0 0 0 2.25rem; + } + + .row.gtr-150.gtr-uniform { + margin-top: -2.25rem; + } + + .row.gtr-150.gtr-uniform > * { + padding-top: 2.25rem; + } + + .row.gtr-200 { + margin-top: 0; + margin-left: -3rem; + } + + .row.gtr-200 > * { + padding: 0 0 0 3rem; + } + + .row.gtr-200.gtr-uniform { + margin-top: -3rem; + } + + .row.gtr-200.gtr-uniform > * { + padding-top: 3rem; + } + + } + +/* Box */ + + .box { + border: solid 2px; + margin-bottom: 2rem; + padding: 1.5rem; + } + + .box > :last-child, + .box > :last-child > :last-child, + .box > :last-child > :last-child > :last-child { + margin-bottom: 0; + } + + .box.alt { + border: 0; + border-radius: 0; + padding: 0; + } + + .box { + border-color: #eeeeee; + } + +/* Button */ + + input[type="submit"], + input[type="reset"], + input[type="button"], + button, + .button { + -moz-appearance: none; + -webkit-appearance: none; + -ms-appearance: none; + appearance: none; + -moz-transition: background-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out, color 0.2s ease-in-out; + -webkit-transition: background-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out, color 0.2s ease-in-out; + -ms-transition: background-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out, color 0.2s ease-in-out; + transition: background-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out, color 0.2s ease-in-out; + border: 0; + border-radius: 0; + cursor: pointer; + display: inline-block; + font-family: "Source Sans Pro", Helvetica, sans-serif; + font-size: 0.8rem; + font-weight: 900; + letter-spacing: 0.075em; + height: 3rem; + line-height: 3rem; + padding: 0 2rem; + text-align: center; + text-decoration: none; + text-transform: uppercase; + white-space: nowrap; + } + + input[type="submit"].icon:before, + input[type="reset"].icon:before, + input[type="button"].icon:before, + button.icon:before, + .button.icon:before { + margin-right: 0.5rem; + } + + input[type="submit"].icon.solo, + input[type="reset"].icon.solo, + input[type="button"].icon.solo, + button.icon.solo, + .button.icon.solo { + position: relative; + width: 4rem; + height: 4rem; + line-height: 4rem; + border-radius: 4rem; + text-indent: 4rem; + overflow: hidden; + padding: 0; + white-space: nowrap; + } + + input[type="submit"].icon.solo:before, + input[type="reset"].icon.solo:before, + input[type="button"].icon.solo:before, + button.icon.solo:before, + .button.icon.solo:before { + position: absolute; + display: block; + top: 0; + left: 0; + width: inherit; + height: inherit; + line-height: inherit; + font-size: 1.25rem; + margin-right: 0; + text-align: center; + text-indent: 0; + } + + input[type="submit"].fit, + input[type="reset"].fit, + input[type="button"].fit, + button.fit, + .button.fit { + width: 100%; + } + + input[type="submit"].small, + input[type="reset"].small, + input[type="button"].small, + button.small, + .button.small { + font-size: 0.7rem; + height: 2.5rem; + line-height: 2.5rem; + padding: 0 1.5rem; + } + + input[type="submit"].large, + input[type="reset"].large, + input[type="button"].large, + button.large, + .button.large { + font-size: 0.9rem; + height: 3.5rem; + line-height: 3.5rem; + padding: 0 2.75rem; + } + + @media screen and (max-width: 980px) { + + input[type="submit"], + input[type="reset"], + input[type="button"], + button, + .button { + font-size: 0.9rem; + height: 3.25rem; + line-height: 3.25rem; + } + + input[type="submit"].large, + input[type="reset"].large, + input[type="button"].large, + button.large, + .button.large { + font-size: 1rem; + height: 3.75rem; + line-height: 3.75rem; + } + + } + + input[type="submit"].disabled, input[type="submit"]:disabled, + input[type="reset"].disabled, + input[type="reset"]:disabled, + input[type="button"].disabled, + input[type="button"]:disabled, + button.disabled, + button:disabled, + .button.disabled, + .button:disabled { + pointer-events: none; + opacity: 0.25; + } + + input[type="submit"], + input[type="reset"], + input[type="button"], + button, + .button { + background-color: transparent; + box-shadow: inset 0 0 0 2px #212931; + color: #212931 !important; + } + + input[type="submit"]:hover, + input[type="reset"]:hover, + input[type="button"]:hover, + button:hover, + .button:hover { + box-shadow: inset 0 0 0 2px #18bfef; + color: #18bfef !important; + } + + input[type="submit"].primary, + input[type="reset"].primary, + input[type="button"].primary, + button.primary, + .button.primary { + background-color: #212931; + box-shadow: none; + color: #ffffff !important; + } + + input[type="submit"].primary:hover, + input[type="reset"].primary:hover, + input[type="button"].primary:hover, + button.primary:hover, + .button.primary:hover { + background-color: #18bfef; + } + +/* Form */ + + form { + margin: 0 0 2rem 0; + } + + form > :last-child { + margin-bottom: 0; + } + + form > .fields { + display: -moz-flex; + display: -webkit-flex; + display: -ms-flex; + display: flex; + -moz-flex-wrap: wrap; + -webkit-flex-wrap: wrap; + -ms-flex-wrap: wrap; + flex-wrap: wrap; + width: calc(100% + 3rem); + margin: -1.5rem 0 2rem -1.5rem; + } + + form > .fields > .field { + -moz-flex-grow: 0; + -webkit-flex-grow: 0; + -ms-flex-grow: 0; + flex-grow: 0; + -moz-flex-shrink: 0; + -webkit-flex-shrink: 0; + -ms-flex-shrink: 0; + flex-shrink: 0; + padding: 1.5rem 0 0 1.5rem; + width: calc(100% - 1.5rem); + } + + form > .fields > .field.half { + width: calc(50% - 0.75rem); + } + + form > .fields > .field.third { + width: calc(100%/3 - 0.5rem); + } + + form > .fields > .field.quarter { + width: calc(25% - 0.375rem); + } + + @media screen and (max-width: 480px) { + + form > .fields { + width: calc(100% + 3rem); + margin: -1.5rem 0 2rem -1.5rem; + } + + form > .fields > .field { + padding: 1.5rem 0 0 1.5rem; + width: calc(100% - 1.5rem); + } + + form > .fields > .field.half { + width: calc(100% - 1.5rem); + } + + form > .fields > .field.third { + width: calc(100% - 1.5rem); + } + + form > .fields > .field.quarter { + width: calc(100% - 1.5rem); + } + + } + + label { + display: block; + font-family: "Source Sans Pro", Helvetica, sans-serif; + font-weight: 900; + line-height: 1.5; + letter-spacing: 0.075em; + font-size: 0.8rem; + text-transform: uppercase; + margin: 0 0 0.75rem 0; + } + + @media screen and (max-width: 980px) { + + label { + font-size: 0.9rem; + } + + } + + input[type="text"], + input[type="password"], + input[type="email"], + select, + textarea { + -moz-appearance: none; + -webkit-appearance: none; + -ms-appearance: none; + appearance: none; + background: transparent; + border-radius: 0; + border: solid 2px; + color: inherit; + display: block; + outline: 0; + padding: 0 1rem; + text-decoration: none; + width: 100%; + } + + input[type="text"]:invalid, + input[type="password"]:invalid, + input[type="email"]:invalid, + select:invalid, + textarea:invalid { + box-shadow: none; + } + + select { + background-size: 1.25rem; + background-repeat: no-repeat; + background-position: calc(100% - 1rem) center; + height: 3rem; + padding-right: 3rem; + text-overflow: ellipsis; + } + + select:focus::-ms-value { + background-color: transparent; + } + + select::-ms-expand { + display: none; + } + + input[type="text"], + input[type="password"], + input[type="email"], + select { + height: 3rem; + } + + textarea { + padding: 0.75rem 1rem; + } + + input[type="checkbox"], + input[type="radio"] { + -moz-appearance: none; + -webkit-appearance: none; + -ms-appearance: none; + appearance: none; + display: block; + float: left; + margin-right: -2rem; + opacity: 0; + width: 1rem; + z-index: -1; + } + + input[type="checkbox"] + label, + input[type="radio"] + label { + text-decoration: none; + cursor: pointer; + display: inline-block; + font-size: 1rem; + letter-spacing: 0; + font-family: "Merriweather", Georgia, serif; + text-transform: none; + font-weight: 300; + padding-left: 2.8rem; + padding-right: 1rem; + position: relative; + } + + input[type="checkbox"] + label:before, + input[type="radio"] + label:before { + -moz-osx-font-smoothing: grayscale; + -webkit-font-smoothing: antialiased; + display: inline-block; + font-style: normal; + font-variant: normal; + text-rendering: auto; + line-height: 1; + text-transform: none !important; + font-family: 'Font Awesome 5 Free'; + font-weight: 900; + } + + input[type="checkbox"] + label:before, + input[type="radio"] + label:before { + border-radius: 0; + border: solid 2px; + content: ''; + display: inline-block; + font-size: 0.8rem; + height: 1.8rem; + left: 0; + line-height: 1.65rem; + position: absolute; + text-align: center; + top: -0.125rem; + width: 1.8rem; + } + + input[type="checkbox"]:checked + label:before, + input[type="radio"]:checked + label:before { + content: '\f00c'; + } + + input[type="checkbox"] + label:before { + border-radius: 0; + } + + input[type="radio"] + label:before { + border-radius: 100%; + } + + ::-webkit-input-placeholder { + opacity: 1.0; + } + + :-moz-placeholder { + opacity: 1.0; + } + + ::-moz-placeholder { + opacity: 1.0; + } + + :-ms-input-placeholder { + opacity: 1.0; + } + + label { + color: #212931; + } + + input[type="text"], + input[type="password"], + input[type="email"], + select, + textarea { + border-color: #eeeeee; + } + + input[type="text"]:focus, + input[type="password"]:focus, + input[type="email"]:focus, + select:focus, + textarea:focus { + border-color: #18bfef; + } + + select { + background-image: url("data:image/svg+xml;charset=utf8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='40' height='40' preserveAspectRatio='none' viewBox='0 0 40 40'%3E%3Cpath d='M9.4,12.3l10.4,10.4l10.4-10.4c0.2-0.2,0.5-0.4,0.9-0.4c0.3,0,0.6,0.1,0.9,0.4l3.3,3.3c0.2,0.2,0.4,0.5,0.4,0.9 c0,0.4-0.1,0.6-0.4,0.9L20.7,31.9c-0.2,0.2-0.5,0.4-0.9,0.4c-0.3,0-0.6-0.1-0.9-0.4L4.3,17.3c-0.2-0.2-0.4-0.5-0.4-0.9 c0-0.4,0.1-0.6,0.4-0.9l3.3-3.3c0.2-0.2,0.5-0.4,0.9-0.4S9.1,12.1,9.4,12.3z' fill='%23eeeeee' /%3E%3C/svg%3E"); + } + + select option { + background-color: #ffffff; + color: #212931; + } + + .select-wrapper:before { + color: #eeeeee; + } + + input[type="checkbox"] + label, + input[type="radio"] + label { + color: #212931; + } + + input[type="checkbox"] + label:before, + input[type="radio"] + label:before { + border-color: #eeeeee; + } + + input[type="checkbox"]:checked + label:before, + input[type="radio"]:checked + label:before { + background-color: #212931; + border-color: #212931; + color: #ffffff; + } + + input[type="checkbox"]:focus + label:before, + input[type="radio"]:focus + label:before { + border-color: #18bfef; + } + + ::-webkit-input-placeholder { + color: #909498 !important; + } + + :-moz-placeholder { + color: #909498 !important; + } + + ::-moz-placeholder { + color: #909498 !important; + } + + :-ms-input-placeholder { + color: #909498 !important; + } + + .formerize-placeholder { + color: #909498 !important; + } + +/* Icon */ + + .icon { + text-decoration: none; + border-bottom: none; + position: relative; + } + + .icon:before { + -moz-osx-font-smoothing: grayscale; + -webkit-font-smoothing: antialiased; + display: inline-block; + font-style: normal; + font-variant: normal; + text-rendering: auto; + line-height: 1; + text-transform: none !important; + font-family: 'Font Awesome 5 Free'; + font-weight: 400; + } + + .icon > .label { + display: none; + } + + .icon:before { + line-height: inherit; + } + + .icon.solid:before { + font-weight: 900; + } + + .icon.brands:before { + font-family: 'Font Awesome 5 Brands'; + } + +/* Image */ + + .image { + border: 0; + display: inline-block; + position: relative; + } + + .image img { + display: block; + } + + .image.left, .image.right { + max-width: 40%; + } + + .image.left img, .image.right img { + width: 100%; + } + + .image.left { + float: left; + margin: 0 2rem 2rem 0; + top: 0.75rem; + } + + .image.right { + float: right; + margin: 0 0 2rem 2rem; + top: 0.75rem; + } + + .image.fit { + display: block; + margin: 2.5rem 0; + width: 100%; + } + + .image.fit:first-child { + margin-top: 0; + } + + .image.fit img { + width: 100%; + } + + .image.main { + display: block; + margin: 4rem 0; + width: 100%; + } + + .image.main:first-child { + margin-top: 0; + } + + .image.main img { + width: 100%; + } + + @media screen and (max-width: 736px) { + + .image.fit { + margin: 2rem 0; + } + + .image.main { + margin: 2rem 0; + } + + } + + a.image { + overflow: hidden; + } + + a.image img { + -moz-transition: -moz-transform 0.2s ease-out; + -webkit-transition: -webkit-transform 0.2s ease-out; + -ms-transition: -ms-transform 0.2s ease-out; + transition: transform 0.2s ease-out; + } + + a.image:hover img { + -moz-transform: scale(1.05); + -webkit-transform: scale(1.05); + -ms-transform: scale(1.05); + transform: scale(1.05); + } + +/* Actions */ + + ul.actions { + display: -moz-flex; + display: -webkit-flex; + display: -ms-flex; + display: flex; + cursor: default; + list-style: none; + margin-left: -1rem; + padding-left: 0; + } + + ul.actions li { + padding: 0 0 0 1rem; + vertical-align: middle; + } + + ul.actions.special { + -moz-justify-content: center; + -webkit-justify-content: center; + -ms-justify-content: center; + justify-content: center; + width: 100%; + margin-left: 0; + } + + ul.actions.special li:first-child { + padding-left: 0; + } + + ul.actions.stacked { + -moz-flex-direction: column; + -webkit-flex-direction: column; + -ms-flex-direction: column; + flex-direction: column; + margin-left: 0; + } + + ul.actions.stacked li { + padding: 1.3rem 0 0 0; + } + + ul.actions.stacked li:first-child { + padding-top: 0; + } + + ul.actions.fit { + width: calc(100% + 1rem); + } + + ul.actions.fit li { + -moz-flex-grow: 1; + -webkit-flex-grow: 1; + -ms-flex-grow: 1; + flex-grow: 1; + -moz-flex-shrink: 1; + -webkit-flex-shrink: 1; + -ms-flex-shrink: 1; + flex-shrink: 1; + width: 100%; + } + + ul.actions.fit li > * { + width: 100%; + } + + ul.actions.fit.stacked { + width: 100%; + } + + @media screen and (max-width: 480px) { + + ul.actions:not(.fixed) { + -moz-flex-direction: column; + -webkit-flex-direction: column; + -ms-flex-direction: column; + flex-direction: column; + margin-left: 0; + width: 100% !important; + } + + ul.actions:not(.fixed) li { + -moz-flex-grow: 1; + -webkit-flex-grow: 1; + -ms-flex-grow: 1; + flex-grow: 1; + -moz-flex-shrink: 1; + -webkit-flex-shrink: 1; + -ms-flex-shrink: 1; + flex-shrink: 1; + padding: 1rem 0 0 0; + text-align: center; + width: 100%; + } + + ul.actions:not(.fixed) li > * { + width: 100%; + } + + ul.actions:not(.fixed) li:first-child { + padding-top: 0; + } + + ul.actions:not(.fixed) li input[type="submit"], + ul.actions:not(.fixed) li input[type="reset"], + ul.actions:not(.fixed) li input[type="button"], + ul.actions:not(.fixed) li button, + ul.actions:not(.fixed) li .button { + width: 100%; + } + + ul.actions:not(.fixed) li input[type="submit"].icon:before, + ul.actions:not(.fixed) li input[type="reset"].icon:before, + ul.actions:not(.fixed) li input[type="button"].icon:before, + ul.actions:not(.fixed) li button.icon:before, + ul.actions:not(.fixed) li .button.icon:before { + margin-left: -0.5rem; + } + + } + +/* Icons */ + + ul.icons { + cursor: default; + list-style: none; + padding-left: 0; + } + + ul.icons li { + display: inline-block; + padding: 0 0.5rem 0 0; + vertical-align: middle; + } + + ul.icons li:last-child { + padding-right: 0; + } + + ul.icons li .icon:before { + width: 2.25rem; + height: 2.25rem; + line-height: 2.25rem; + display: inline-block; + text-align: center; + border-radius: 100%; + font-size: 1.25rem; + } + + ul.icons.alt li .icon:before { + -moz-transition: color 0.2s ease-in-out, background-color 0.2s ease-in-out, border-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out; + -webkit-transition: color 0.2s ease-in-out, background-color 0.2s ease-in-out, border-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out; + -ms-transition: color 0.2s ease-in-out, background-color 0.2s ease-in-out, border-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out; + transition: color 0.2s ease-in-out, background-color 0.2s ease-in-out, border-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out; + font-size: 1rem; + } + +/* List */ + + ol { + list-style: decimal; + margin: 0 0 2rem 0; + padding-left: 1.25rem; + } + + ol li { + padding-left: 0.25rem; + } + + ul { + list-style: disc; + margin: 0 0 2rem 0; + padding-left: 1rem; + } + + ul li { + padding-left: 0.5rem; + } + + ul.divided { + list-style: none; + padding-left: 0; + } + + ul.divided li { + border-top: solid 1px; + padding: 0.5rem 0; + } + + ul.divided li:first-child { + border-top: 0; + padding-top: 0; + } + + dl { + margin: 0 0 2rem 0; + } + + dl dt { + display: block; + font-weight: 600; + margin: 0 0 1rem 0; + } + + dl dd { + margin-left: 2rem; + } + + ul.divided li { + border-top-color: #eeeeee; + } + + ul.icons li a.icon:hover:before { + color: #18bfef; + } + + ul.icons.alt li .icon:before { + box-shadow: inset 0 0 0 2px #eeeeee; + } + + ul.icons.alt li a.icon:hover:before { + box-shadow: inset 0 0 0 2px #18bfef; + } + +/* Section/Article */ + + section.special, article.special { + text-align: center; + } + + header { + cursor: default; + } + + header > .date { + display: block; + font-size: 0.8rem; + height: 1; + margin: 0 0 1rem 0; + position: relative; + } + + header > p { + font-style: italic; + } + + header > h1 + p { + font-size: 1.1rem; + margin-top: -0.5rem; + line-height: 2; + } + + header > h2 + p { + font-size: 1rem; + margin-top: -0.75rem; + } + + header > h3 + p { + font-size: 0.9rem; + margin-top: -0.75rem; + } + + header > h4 + p { + font-size: 0.8rem; + margin-top: -0.75rem; + } + + header.major { + margin: 0 0 4rem 0; + text-align: center; + } + + header.major > :last-child { + margin-bottom: 0; + } + + header.major > p { + margin-top: 0; + text-align: center; + } + + header.major > .date { + font-size: 1rem; + margin: 0 0 4rem 0; + } + + header.major > .date:before, header.major > .date:after { + content: ''; + display: block; + position: absolute; + top: 50%; + width: calc(50% - 6rem); + border-top: solid 2px; + } + + header.major > .date:before { + left: 0; + } + + header.major > .date:after { + right: 0; + } + + @media screen and (max-width: 980px) { + + header br { + display: none; + } + + } + + @media screen and (max-width: 736px) { + + header.major { + margin: 0 0 2rem 0; + } + + } + + header.major .date:before, header.major .date:after { + border-top-color: #eeeeee; + } + +/* Table */ + + .table-wrapper { + -webkit-overflow-scrolling: touch; + overflow-x: auto; + } + + table { + margin: 0 0 2rem 0; + width: 100%; + } + + table tbody tr { + border: solid 1px; + border-left: 0; + border-right: 0; + } + + table td { + padding: 0.75rem 0.75rem; + } + + table th { + font-family: "Source Sans Pro", Helvetica, sans-serif; + font-size: 0.8rem; + font-weight: 900; + letter-spacing: 0.075em; + line-height: 1.5; + padding: 0 0.75rem 0.75rem 0.75rem; + text-align: left; + text-transform: uppercase; + } + + @media screen and (max-width: 980px) { + + table th { + font-size: 0.9rem; + } + + } + + table thead { + border-bottom: solid 2px; + } + + table tfoot { + border-top: solid 2px; + } + + table.alt { + border-collapse: separate; + } + + table.alt tbody tr td { + border: solid 1px; + border-left-width: 0; + border-top-width: 0; + } + + table.alt tbody tr td:first-child { + border-left-width: 1px; + } + + table.alt tbody tr:first-child td { + border-top-width: 1px; + } + + table.alt thead { + border-bottom: 0; + } + + table.alt tfoot { + border-top: 0; + } + + table tbody tr { + border-color: #eeeeee; + } + + table tbody tr:nth-child(2n + 1) { + background-color: rgba(220, 220, 220, 0.25); + } + + table th { + color: #212931; + } + + table thead { + border-bottom-color: #eeeeee; + } + + table tfoot { + border-top-color: #eeeeee; + } + + table.alt tbody tr td { + border-color: #eeeeee; + } + +/* Pagination */ + + .pagination { + display: -moz-inline-flex; + display: -webkit-inline-flex; + display: -ms-inline-flex; + display: inline-flex; + -moz-user-select: none; + -webkit-user-select: none; + -ms-user-select: none; + user-select: none; + cursor: default; + list-style: none; + margin: 0 0 2rem 2px; + padding: 0; + } + + .pagination a, .pagination span { + -moz-transition: background-color 0.2s ease-in-out, border-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out, color 0.2s ease-in-out; + -webkit-transition: background-color 0.2s ease-in-out, border-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out, color 0.2s ease-in-out; + -ms-transition: background-color 0.2s ease-in-out, border-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out, color 0.2s ease-in-out; + transition: background-color 0.2s ease-in-out, border-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out, color 0.2s ease-in-out; + border: solid 2px; + display: inline-block; + font-family: "Source Sans Pro", Helvetica, sans-serif; + font-size: 0.8rem; + font-weight: 900; + height: 3rem; + letter-spacing: 0.075em; + line-height: calc(3rem - 4px); + margin-left: -2px; + min-width: 3rem; + position: relative; + text-align: center; + text-decoration: none; + text-transform: uppercase; + } + + .pagination .next, .pagination .previous { + text-decoration: none; + padding: 0 1.75rem; + } + + .pagination .next:before, .pagination .previous:before { + -moz-osx-font-smoothing: grayscale; + -webkit-font-smoothing: antialiased; + display: inline-block; + font-style: normal; + font-variant: normal; + text-rendering: auto; + line-height: 1; + text-transform: none !important; + font-family: 'Font Awesome 5 Free'; + font-weight: 900; + } + + .pagination .next:before, .pagination .previous:before { + display: inline-block; + color: inherit !important; + line-height: inherit; + } + + .pagination .previous:before { + content: '\f104'; + margin-right: 0.9375em; + } + + .pagination .next:before { + content: '\f105'; + float: right; + margin-left: 0.9375em; + } + + @media screen and (max-width: 980px) { + + .pagination a, .pagination span { + font-size: 0.9rem; + } + + } + + @media screen and (max-width: 480px) { + + .pagination .page, .pagination .extra { + display: none; + } + + } + + .pagination a, .pagination span { + border-color: #eeeeee; + } + + .pagination a { + color: #212931 !important; + } + + .pagination a:hover { + color: #18bfef !important; + border-color: #18bfef; + z-index: 1; + } + + .pagination a:hover + a, + .pagination a:hover + span { + border-left-color: #18bfef; + } + + .pagination a.active { + background-color: #eeeeee; + } + + .pagination span { + color: #eeeeee; + } + +/* Wrapper */ + + #wrapper { + -moz-transition: opacity 0.5s ease; + -webkit-transition: opacity 0.5s ease; + -ms-transition: opacity 0.5s ease; + transition: opacity 0.5s ease; + position: relative; + z-index: 1; + overflow: hidden; + } + + #wrapper > .bg { + position: absolute; + top: 0; + left: 0; + width: 100%; + height: 100%; + background-color: #212931; + background-image: url("../../images/overlay.png"), linear-gradient(0deg, rgba(0, 0, 0, 0.1), rgba(0, 0, 0, 0.1)), url("../../images/bg.jpg"); + background-size: auto, auto, 100% auto; + background-position: center, center, top center; + background-repeat: repeat, no-repeat, no-repeat; + background-attachment: scroll, scroll, scroll; + z-index: -1; + } + + #wrapper > .bg.fixed { + position: fixed; + width: 100vw; + height: 100vh; + } + + #wrapper.fade-in:before { + pointer-events: none; + -moz-transition: opacity 1s ease-in-out; + -webkit-transition: opacity 1s ease-in-out; + -ms-transition: opacity 1s ease-in-out; + transition: opacity 1s ease-in-out; + -moz-transition-delay: 0.75s; + -webkit-transition-delay: 0.75s; + -ms-transition-delay: 0.75s; + transition-delay: 0.75s; + background: #1e252d; + content: ''; + display: block; + height: 100%; + left: 0; + opacity: 0; + position: fixed; + top: 0; + width: 100%; + } + + body.is-preload #wrapper.fade-in:before { + opacity: 1; + } + + @media screen and (orientation: portrait) { + + #wrapper > .bg { + background-size: auto, auto, auto 175%; + } + + } + +/* Intro */ + + #intro { + color: #ffffff; + padding: 8rem 4rem 6rem 4rem ; + -moz-align-items: center; + -webkit-align-items: center; + -ms-align-items: center; + align-items: center; + display: -moz-flex; + display: -webkit-flex; + display: -ms-flex; + display: flex; + -moz-flex-direction: column; + -webkit-flex-direction: column; + -ms-flex-direction: column; + flex-direction: column; + -moz-justify-content: -moz-flex-end; + -webkit-justify-content: -webkit-flex-end; + -ms-justify-content: -ms-flex-end; + justify-content: flex-end; + -moz-transition: opacity 1s ease, -moz-transform 1s ease; + -webkit-transition: opacity 1s ease, -webkit-transform 1s ease; + -ms-transition: opacity 1s ease, -ms-transform 1s ease; + transition: opacity 1s ease, transform 1s ease; + position: relative; + cursor: default; + text-align: center; + z-index: 1; + min-height: 100vh; + } + + #intro input, #intro select, #intro textarea { + color: #ffffff; + } + + #intro a { + color: #ffffff; + border-bottom-color: rgba(255, 255, 255, 0.5); + } + + #intro a:hover { + border-bottom-color: transparent; + color: #18bfef !important; + } + + #intro strong, #intro b { + color: #ffffff; + } + + #intro h1, #intro h2, #intro h3, #intro h4, #intro h5, #intro h6 { + color: #ffffff; + } + + #intro blockquote { + border-left-color: #ffffff; + } + + #intro code { + background: rgba(255, 255, 255, 0.075); + border-color: #ffffff; + } + + #intro hr { + border-bottom-color: #ffffff; + } + + #intro input[type="submit"], + #intro input[type="reset"], + #intro input[type="button"], + #intro button, + #intro .button { + background-color: transparent; + box-shadow: inset 0 0 0 2px #ffffff; + color: #ffffff !important; + } + + #intro input[type="submit"]:hover, + #intro input[type="reset"]:hover, + #intro input[type="button"]:hover, + #intro button:hover, + #intro .button:hover { + box-shadow: inset 0 0 0 2px #18bfef; + color: #18bfef !important; + } + + #intro input[type="submit"].primary, + #intro input[type="reset"].primary, + #intro input[type="button"].primary, + #intro button.primary, + #intro .button.primary { + background-color: #ffffff; + box-shadow: none; + color: #1e252d !important; + } + + #intro input[type="submit"].primary:hover, + #intro input[type="reset"].primary:hover, + #intro input[type="button"].primary:hover, + #intro button.primary:hover, + #intro .button.primary:hover { + background-color: #18bfef; + } + + #intro h1 { + font-size: 5rem; + line-height: 1; + } + + #intro p { + font-size: 1.25rem; + font-style: italic; + margin-top: -0.25rem; + text-align: center; + } + + #intro + #header { + margin-top: -20rem; + } + + #intro + #header .logo { + -moz-transform: translateY(2rem); + -webkit-transform: translateY(2rem); + -ms-transform: translateY(2rem); + transform: translateY(2rem); + opacity: 0; + visibility: hidden; + } + + #intro.hidden { + pointer-events: none; + -moz-transform: translateY(2rem); + -webkit-transform: translateY(2rem); + -ms-transform: translateY(2rem); + transform: translateY(2rem); + -moz-transition: opacity 0.5s ease, -moz-transform 0.5s ease, visibility 0.5s; + -webkit-transition: opacity 0.5s ease, -webkit-transform 0.5s ease, visibility 0.5s; + -ms-transition: opacity 0.5s ease, -ms-transform 0.5s ease, visibility 0.5s; + transition: opacity 0.5s ease, transform 0.5s ease, visibility 0.5s; + opacity: 0; + visibility: hidden; + } + + #intro.hidden + #header .logo { + -moz-transform: translateY(0); + -webkit-transform: translateY(0); + -ms-transform: translateY(0); + transform: translateY(0); + opacity: 1; + visibility: visible; + } + + body.is-preload #intro { + -moz-transform: translateY(2rem); + -webkit-transform: translateY(2rem); + -ms-transform: translateY(2rem); + transform: translateY(2rem); + opacity: 0; + } + + body.is-preload #intro:not(.hidden) + #header + #nav { + -moz-transform: translateY(4rem); + -webkit-transform: translateY(4rem); + -ms-transform: translateY(4rem); + transform: translateY(4rem); + opacity: 0; + } + + @media screen and (max-width: 980px) { + + #intro { + padding: 4rem 4rem 2rem 4rem ; + min-height: 90vh; + } + + #intro p br { + display: none; + } + + #intro + #header { + margin-top: -14rem; + } + + } + + @media screen and (max-width: 736px) { + + #intro { + padding: 3rem 2rem 1rem 2rem ; + min-height: 80vh; + } + + #intro h1 { + font-size: 3.25rem; + line-height: 1.1; + margin-bottom: 1rem; + } + + #intro p { + font-size: 1rem; + margin-top: 0rem; + } + + #intro .actions { + display: none; + } + + } + +/* Header */ + + #header { + color: #ffffff; + -moz-align-items: center; + -webkit-align-items: center; + -ms-align-items: center; + align-items: center; + display: -moz-flex; + display: -webkit-flex; + display: -ms-flex; + display: flex; + -moz-flex-direction: column; + -webkit-flex-direction: column; + -ms-flex-direction: column; + flex-direction: column; + -moz-justify-content: -moz-flex-end; + -webkit-justify-content: -webkit-flex-end; + -ms-justify-content: -ms-flex-end; + justify-content: flex-end; + pointer-events: none; + -moz-user-select: none; + -webkit-user-select: none; + -ms-user-select: none; + user-select: none; + height: 20rem; + padding-bottom: 8rem; + position: relative; + text-align: center; + z-index: 2; + } + + #header input, #header select, #header textarea { + color: #ffffff; + } + + #header a { + color: #ffffff; + border-bottom-color: rgba(255, 255, 255, 0.5); + } + + #header a:hover { + border-bottom-color: transparent; + color: #18bfef !important; + } + + #header strong, #header b { + color: #ffffff; + } + + #header h1, #header h2, #header h3, #header h4, #header h5, #header h6 { + color: #ffffff; + } + + #header blockquote { + border-left-color: #ffffff; + } + + #header code { + background: rgba(255, 255, 255, 0.075); + border-color: #ffffff; + } + + #header hr { + border-bottom-color: #ffffff; + } + + #header .logo { + -moz-transition: border-color 0.2s ease-in-out, color 0.2s ease-in-out, opacity 0.5s ease, -moz-transform 0.5s ease, visibility 0.5s; + -webkit-transition: border-color 0.2s ease-in-out, color 0.2s ease-in-out, opacity 0.5s ease, -webkit-transform 0.5s ease, visibility 0.5s; + -ms-transition: border-color 0.2s ease-in-out, color 0.2s ease-in-out, opacity 0.5s ease, -ms-transform 0.5s ease, visibility 0.5s; + transition: border-color 0.2s ease-in-out, color 0.2s ease-in-out, opacity 0.5s ease, transform 0.5s ease, visibility 0.5s; + pointer-events: auto; + border-style: solid; + border-color: #ffffff; + border-width: 5px !important; + font-family: "Source Sans Pro", Helvetica, sans-serif; + font-size: 2.25rem; + font-weight: 900; + letter-spacing: 0.075em; + line-height: 1; + padding: 1rem 1.75rem; + text-transform: uppercase; + visibility: visible; + } + + #header .logo:hover { + border-color: #18bfef !important; + color: #18bfef !important; + } + + @media screen and (max-width: 980px) { + + #header { + height: 14rem; + padding-bottom: 4rem; + } + + } + + @media screen and (max-width: 736px) { + + #header { + padding-bottom: 3rem; + } + + #header .logo { + font-size: 1.75rem; + border-width: 3px !important; + } + + } + +/* Nav */ + + #nav { + color: #ffffff; + display: -moz-flex; + display: -webkit-flex; + display: -ms-flex; + display: flex; + -moz-transition: -moz-transform 1s ease, opacity 1s ease; + -webkit-transition: -webkit-transform 1s ease, opacity 1s ease; + -ms-transition: -ms-transform 1s ease, opacity 1s ease; + transition: transform 1s ease, opacity 1s ease; + background: rgba(255, 255, 255, 0.175); + height: 4rem; + line-height: 4rem; + margin: -4rem auto 0 auto; + overflow: hidden; + padding: 0 2rem 0 0; + position: relative; + width: calc(100% - 4rem); + max-width: 72rem; + z-index: 2; + } + + #nav ul.divided li { + border-top-color: #ffffff; + } + + #nav ul.icons li a.icon:hover:before { + color: #18bfef; + } + + #nav ul.icons.alt li .icon:before { + box-shadow: inset 0 0 0 2px #ffffff; + } + + #nav ul.icons.alt li a.icon:hover:before { + box-shadow: inset 0 0 0 2px #18bfef; + } + + #nav input, #nav select, #nav textarea { + color: #ffffff; + } + + #nav a { + color: #ffffff; + border-bottom-color: rgba(255, 255, 255, 0.5); + } + + #nav a:hover { + border-bottom-color: transparent; + color: #18bfef !important; + } + + #nav strong, #nav b { + color: #ffffff; + } + + #nav h1, #nav h2, #nav h3, #nav h4, #nav h5, #nav h6 { + color: #ffffff; + } + + #nav blockquote { + border-left-color: #ffffff; + } + + #nav code { + background: rgba(255, 255, 255, 0.075); + border-color: #ffffff; + } + + #nav hr { + border-bottom-color: #ffffff; + } + + #nav ul.links { + display: -moz-flex; + display: -webkit-flex; + display: -ms-flex; + display: flex; + -moz-flex-grow: 1; + -webkit-flex-grow: 1; + -ms-flex-grow: 1; + flex-grow: 1; + -moz-flex-shrink: 1; + -webkit-flex-shrink: 1; + -ms-flex-shrink: 1; + flex-shrink: 1; + font-family: "Source Sans Pro", Helvetica, sans-serif; + font-weight: 900; + letter-spacing: 0.075em; + list-style: none; + margin-bottom: 0; + padding-left: 0; + text-transform: uppercase; + } + + #nav ul.links li { + display: block; + padding-left: 0; + } + + #nav ul.links li a { + -moz-transition: background-color 0.2s ease-in-out, color 0.2s ease-in-out; + -webkit-transition: background-color 0.2s ease-in-out, color 0.2s ease-in-out; + -ms-transition: background-color 0.2s ease-in-out, color 0.2s ease-in-out; + transition: background-color 0.2s ease-in-out, color 0.2s ease-in-out; + display: block; + font-size: 0.8rem; + outline: none; + padding: 0 2rem; + } + + #nav ul.links li a:hover { + color: inherit !important; + background-color: rgba(255, 255, 255, 0.1); + } + + #nav ul.links li.active { + background-color: #ffffff; + } + + #nav ul.links li.active a { + color: #1e252d; + } + + #nav ul.links li.active a:hover { + color: #18bfef !important; + } + + #nav ul.icons { + -moz-flex-grow: 0; + -webkit-flex-grow: 0; + -ms-flex-grow: 0; + flex-grow: 0; + -moz-flex-shrink: 0; + -webkit-flex-shrink: 0; + -ms-flex-shrink: 0; + flex-shrink: 0; + margin-bottom: 0; + } + + @media screen and (max-width: 980px) { + + #nav { + display: none; + } + + } + +/* Main */ + + #main { + background-color: #ffffff; + position: relative; + margin: 0 auto; + width: calc(100% - 4rem); + max-width: 72rem; + z-index: 2; + } + + #main > * { + padding: 4rem 4rem 2rem 4rem ; + border-top: solid 2px #eeeeee; + margin: 0; + } + + #main > *:first-child { + border-top: 0; + } + + #main > footer { + text-align: center; + } + + #main > .post { + padding: 8rem 8rem 6rem 8rem ; + } + + #main > .post header.major > .date { + margin-top: -2rem; + } + + #main > .post header.major > h1, #main > .post header.major h2 { + font-size: 4rem; + line-height: 1.1; + margin: 0 0 2rem 0; + } + + #main > .post.featured { + text-align: center; + } + + @media screen and (max-width: 1280px) { + + #main > .post { + padding: 6rem 4rem 4rem 4rem ; + } + + } + + @media screen and (max-width: 736px) { + + #main > .post { + padding: 4rem 2rem 2rem 2rem ; + } + + #main > .post header.major > .date { + margin-top: -1rem; + margin-bottom: 2rem; + } + + #main > .post header.major > h1, #main > .post header.major h2 { + font-size: 2.5rem; + line-height: 1.2; + margin: 0 0 1.5rem 0; + } + + } + + #main > .posts { + display: -moz-flex; + display: -webkit-flex; + display: -ms-flex; + display: flex; + -moz-flex-wrap: wrap; + -webkit-flex-wrap: wrap; + -ms-flex-wrap: wrap; + flex-wrap: wrap; + -moz-align-items: -moz-stretch; + -webkit-align-items: -webkit-stretch; + -ms-align-items: -ms-stretch; + align-items: stretch; + text-align: center; + width: 100%; + padding: 0; + } + + #main > .posts > * { + -moz-flex-shrink: 1; + -webkit-flex-shrink: 1; + -ms-flex-shrink: 1; + flex-shrink: 1; + -moz-flex-grow: 0; + -webkit-flex-grow: 0; + -ms-flex-grow: 0; + flex-grow: 0; + } + + #main > .posts > * { + width: 50%; + } + + #main > .posts > * { + padding: 4rem; + width: 50%; + } + + #main > .posts > article { + border-color: #eeeeee; + border-left-width: 2px; + border-style: solid; + border-top-width: 2px; + text-align: center; + } + + #main > .posts > article > :last-child { + margin-bottom: 0; + } + + #main > .posts > article:nth-child(2n - 1) { + border-left-width: 0; + } + + #main > .posts > article:nth-child(-n + 2) { + border-top-width: 0; + } + + @media screen and (max-width: 980px) { + + #main > .posts > * { + width: 50%; + } + + #main > .posts > * { + padding: 2.5rem; + width: 50%; + } + + } + + @media screen and (max-width: 736px) { + + #main > .posts > * { + width: 100%; + } + + #main > .posts > * { + padding: 2rem; + width: 100%; + } + + #main > .posts > article:nth-child(2n - 1) { + border-left-width: 2px; + } + + #main > .posts > article:nth-child(-n + 2) { + border-top-width: 2px; + } + + #main > .posts > article:nth-child(n) { + border-left-width: 0; + } + + #main > .posts > article:nth-child(-n + 1) { + border-top-width: 0; + } + + #main > .posts > article .image { + max-width: 25rem; + margin-left: auto; + margin-right: auto; + } + + } + + @media screen and (max-width: 736px) { + + #main > * { + padding: 2rem 2rem 0.1rem 2rem ; + } + + } + + @media screen and (max-width: 480px) { + + #main { + width: 100%; + } + + } + +/* Footer */ + + #footer { + color: #717981; + display: -moz-flex; + display: -webkit-flex; + display: -ms-flex; + display: flex; + background-color: #f5f5f5; + color: #909498; + cursor: default; + position: relative; + margin: 0 auto; + width: calc(100% - 4rem); + max-width: 72rem; + z-index: 2; + } + + #footer input, #footer select, #footer textarea { + color: #717981; + } + + #footer a { + color: #717981; + border-bottom-color: rgba(113, 121, 129, 0.5); + } + + #footer a:hover { + border-bottom-color: transparent; + color: #18bfef !important; + } + + #footer strong, #footer b { + color: #717981; + } + + #footer h1, #footer h2, #footer h3, #footer h4, #footer h5, #footer h6 { + color: #717981; + } + + #footer blockquote { + border-left-color: #e2e2e2; + } + + #footer code { + background: rgba(220, 220, 220, 0.5); + border-color: #e2e2e2; + } + + #footer hr { + border-bottom-color: #e2e2e2; + } + + #footer .box { + border-color: #e2e2e2; + } + + #footer input[type="submit"], + #footer input[type="reset"], + #footer input[type="button"], + #footer button, + #footer .button { + background-color: transparent; + box-shadow: inset 0 0 0 2px #717981; + color: #717981 !important; + } + + #footer input[type="submit"]:hover, + #footer input[type="reset"]:hover, + #footer input[type="button"]:hover, + #footer button:hover, + #footer .button:hover { + box-shadow: inset 0 0 0 2px #18bfef; + color: #18bfef !important; + } + + #footer input[type="submit"].primary, + #footer input[type="reset"].primary, + #footer input[type="button"].primary, + #footer button.primary, + #footer .button.primary { + background-color: #717981; + box-shadow: none; + color: #f5f5f5 !important; + } + + #footer input[type="submit"].primary:hover, + #footer input[type="reset"].primary:hover, + #footer input[type="button"].primary:hover, + #footer button.primary:hover, + #footer .button.primary:hover { + background-color: #18bfef; + } + + #footer label { + color: #717981; + } + + #footer input[type="text"], + #footer input[type="password"], + #footer input[type="email"], + #footer select, + #footer textarea { + border-color: #e2e2e2; + } + + #footer input[type="text"]:focus, + #footer input[type="password"]:focus, + #footer input[type="email"]:focus, + #footer select:focus, + #footer textarea:focus { + border-color: #18bfef; + } + + #footer select { + background-image: url("data:image/svg+xml;charset=utf8,%3Csvg xmlns='http://www.w3.org/2000/svg' width='40' height='40' preserveAspectRatio='none' viewBox='0 0 40 40'%3E%3Cpath d='M9.4,12.3l10.4,10.4l10.4-10.4c0.2-0.2,0.5-0.4,0.9-0.4c0.3,0,0.6,0.1,0.9,0.4l3.3,3.3c0.2,0.2,0.4,0.5,0.4,0.9 c0,0.4-0.1,0.6-0.4,0.9L20.7,31.9c-0.2,0.2-0.5,0.4-0.9,0.4c-0.3,0-0.6-0.1-0.9-0.4L4.3,17.3c-0.2-0.2-0.4-0.5-0.4-0.9 c0-0.4,0.1-0.6,0.4-0.9l3.3-3.3c0.2-0.2,0.5-0.4,0.9-0.4S9.1,12.1,9.4,12.3z' fill='%23e2e2e2' /%3E%3C/svg%3E"); + } + + #footer select option { + background-color: #f5f5f5; + color: #717981; + } + + #footer .select-wrapper:before { + color: #e2e2e2; + } + + #footer input[type="checkbox"] + label, + #footer input[type="radio"] + label { + color: #717981; + } + + #footer input[type="checkbox"] + label:before, + #footer input[type="radio"] + label:before { + border-color: #e2e2e2; + } + + #footer input[type="checkbox"]:checked + label:before, + #footer input[type="radio"]:checked + label:before { + background-color: #717981; + border-color: #717981; + color: #f5f5f5; + } + + #footer input[type="checkbox"]:focus + label:before, + #footer input[type="radio"]:focus + label:before { + border-color: #18bfef; + } + + #footer ::-webkit-input-placeholder { + color: #b3b7bb !important; + } + + #footer :-moz-placeholder { + color: #b3b7bb !important; + } + + #footer ::-moz-placeholder { + color: #b3b7bb !important; + } + + #footer :-ms-input-placeholder { + color: #b3b7bb !important; + } + + #footer .formerize-placeholder { + color: #b3b7bb !important; + } + + #footer ul.divided li { + border-top-color: #e2e2e2; + } + + #footer ul.icons li a.icon:hover:before { + color: #18bfef; + } + + #footer ul.icons.alt li .icon:before { + box-shadow: inset 0 0 0 2px #e2e2e2; + } + + #footer ul.icons.alt li a.icon:hover:before { + box-shadow: inset 0 0 0 2px #18bfef; + } + + #footer header.major .date:before, #footer header.major .date:after { + border-top-color: #e2e2e2; + } + + #footer table tbody tr { + border-color: #e2e2e2; + } + + #footer table tbody tr:nth-child(2n + 1) { + background-color: rgba(220, 220, 220, 0.5); + } + + #footer table th { + color: #717981; + } + + #footer table thead { + border-bottom-color: #e2e2e2; + } + + #footer table tfoot { + border-top-color: #e2e2e2; + } + + #footer table.alt tbody tr td { + border-color: #e2e2e2; + } + + #footer .pagination a, #footer .pagination span { + border-color: #e2e2e2; + } + + #footer .pagination a { + color: #717981 !important; + } + + #footer .pagination a:hover { + color: #18bfef !important; + border-color: #18bfef; + z-index: 1; + } + + #footer .pagination a:hover + a, + #footer .pagination a:hover + span { + border-left-color: #18bfef; + } + + #footer .pagination a.active { + background-color: #e2e2e2; + } + + #footer .pagination span { + color: #e2e2e2; + } + + #footer > section { + -moz-flex-basis: 50%; + -webkit-flex-basis: 50%; + -ms-flex-basis: 50%; + flex-basis: 50%; + -moz-flex-grow: 1; + -webkit-flex-grow: 1; + -ms-flex-grow: 1; + flex-grow: 1; + -moz-flex-shrink: 1; + -webkit-flex-shrink: 1; + -ms-flex-shrink: 1; + flex-shrink: 1; + padding: 4rem 4rem 2rem 4rem ; + border-left: solid 2px #e2e2e2; + } + + #footer > section:first-child { + border-left: 0; + } + + #footer > section.split { + display: -moz-flex; + display: -webkit-flex; + display: -ms-flex; + display: flex; + -moz-flex-direction: column; + -webkit-flex-direction: column; + -ms-flex-direction: column; + flex-direction: column; + padding: 0; + } + + #footer > section.split > section { + padding: 3rem 4rem 1rem 4rem ; + border-top: solid 2px #e2e2e2; + } + + #footer > section.split > section:first-child { + padding: 5rem 4rem 1rem 4rem ; + border-top: 0; + } + + #footer > section.split > section:last-child { + padding: 3rem 4rem 3rem 4rem ; + } + + #footer > section.split.contact > section { + display: -moz-flex; + display: -webkit-flex; + display: -ms-flex; + display: flex; + -moz-align-items: center; + -webkit-align-items: center; + -ms-align-items: center; + align-items: center; + padding: 3.15rem 4rem; + } + + #footer > section.split.contact > section > * { + margin-bottom: 0; + } + + #footer > section.split.contact > section > :first-child { + -moz-flex-shrink: 0; + -webkit-flex-shrink: 0; + -ms-flex-shrink: 0; + flex-shrink: 0; + -moz-flex-grow: 0; + -webkit-flex-grow: 0; + -ms-flex-grow: 0; + flex-grow: 0; + width: 6rem; + } + + #footer > section.split.contact > section > :last-child { + -moz-flex-shrink: 1; + -webkit-flex-shrink: 1; + -ms-flex-shrink: 1; + flex-shrink: 1; + -moz-flex-grow: 1; + -webkit-flex-grow: 1; + -ms-flex-grow: 1; + flex-grow: 1; + } + + #footer > section.split.contact > section:first-child { + padding: 4rem 4rem 3rem 4rem; + } + + #footer > section.split.contact > section:last-child { + padding: 3rem 4rem 4rem 4rem; + } + + #footer > section.split.contact > section.alt { + -moz-align-items: -moz-flex-start; + -webkit-align-items: -webkit-flex-start; + -ms-align-items: -ms-flex-start; + align-items: flex-start; + } + + #footer > section.split.contact > section.alt > :last-child { + margin-top: -0.325rem; + } + + #footer form label, + #footer h3, + #footer p { + font-size: 0.8rem; + } + + @media screen and (max-width: 980px) { + + #footer { + display: block; + } + + #footer > section { + border-top: solid 2px #e2e2e2; + } + + #footer > section:first-child { + border-top: 0; + } + + #footer > section.split > section { + padding: 4rem 4rem 2rem 4rem ; + } + + #footer > section.split > section:first-child { + padding: 4rem 4rem 2rem 4rem ; + } + + #footer > section.split > section:last-child { + padding: 4rem 4rem 2rem 4rem ; + } + + #footer > section.split.contact > section { + padding: 4rem; + } + + #footer > section.split.contact > section:first-child { + padding: 4rem; + } + + #footer > section.split.contact > section:last-child { + padding: 4rem; + } + + #footer form label, + #footer h3, + #footer p { + font-size: 0.9rem; + } + + } + + @media screen and (max-width: 736px) { + + #footer > section { + padding: 2rem 2rem 0.1rem 2rem ; + } + + #footer > section.split > section { + padding: 2rem 2rem 0.1rem 2rem ; + } + + #footer > section.split > section:first-child { + padding: 2rem 2rem 0.1rem 2rem ; + } + + #footer > section.split > section:last-child { + padding: 2rem 2rem 0.1rem 2rem ; + } + + #footer > section.split.contact > section { + padding: 2rem; + } + + #footer > section.split.contact > section:first-child { + padding: 2rem; + } + + #footer > section.split.contact > section:last-child { + padding: 2rem; + } + + } + + @media screen and (max-width: 480px) { + + #footer { + width: 100%; + } + + } + + #copyright { + color: #ffffff; + position: relative; + color: rgba(255, 255, 255, 0.25); + cursor: default; + font-family: "Source Sans Pro", Helvetica, sans-serif; + font-size: 0.8rem; + font-weight: 900; + letter-spacing: 0.075em; + line-height: 1.5; + text-align: center; + text-transform: uppercase; + margin: 4rem auto 8rem auto; + width: calc(100% - 4rem); + max-width: 72rem; + z-index: 2; + } + + #copyright input, #copyright select, #copyright textarea { + color: #ffffff; + } + + #copyright a { + color: #ffffff; + border-bottom-color: rgba(255, 255, 255, 0.5); + } + + #copyright a:hover { + border-bottom-color: transparent; + color: #18bfef !important; + } + + #copyright strong, #copyright b { + color: #ffffff; + } + + #copyright h1, #copyright h2, #copyright h3, #copyright h4, #copyright h5, #copyright h6 { + color: #ffffff; + } + + #copyright blockquote { + border-left-color: #ffffff; + } + + #copyright code { + background: rgba(255, 255, 255, 0.075); + border-color: #ffffff; + } + + #copyright hr { + border-bottom-color: #ffffff; + } + + #copyright a { + color: inherit; + border-bottom-color: inherit; + } + + #copyright ul { + list-style: none; + margin: 0; + padding-left: 0; + } + + #copyright ul li { + border-left: solid 2px; + display: inline-block; + line-height: 1; + margin-left: 1rem; + padding-left: 1rem; + } + + #copyright ul li:first-child { + border-left: 0; + margin-left: 0; + padding-left: 0; + } + + @media screen and (max-width: 1280px) { + + #copyright { + margin: 4rem auto; + } + + } + + @media screen and (max-width: 480px) { + + #copyright ul li { + border-left: 0; + margin: 1rem 0 0 0; + padding-left: 0; + display: block; + } + + #copyright ul li:first-child { + margin-top: 0; + } + + } + +/* Nav Panel */ + + #navPanelToggle { + text-decoration: none; + -moz-transition: color 0.2s ease-in-out, background-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out; + -webkit-transition: color 0.2s ease-in-out, background-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out; + -ms-transition: color 0.2s ease-in-out, background-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out; + transition: color 0.2s ease-in-out, background-color 0.2s ease-in-out, box-shadow 0.2s ease-in-out; + display: none; + position: fixed; + top: 0.75rem; + right: 0.75rem; + border: 0; + color: #ffffff; + font-family: "Source Sans Pro", Helvetica, sans-serif; + font-size: 0.9rem; + font-weight: 900; + letter-spacing: 0.075em; + padding: 0.375rem 1.25rem; + text-transform: uppercase; + z-index: 10001; + } + + #navPanelToggle:before { + -moz-osx-font-smoothing: grayscale; + -webkit-font-smoothing: antialiased; + display: inline-block; + font-style: normal; + font-variant: normal; + text-rendering: auto; + line-height: 1; + text-transform: none !important; + font-family: 'Font Awesome 5 Free'; + font-weight: 900; + } + + #navPanelToggle:before { + content: '\f0c9'; + margin-right: 0.5rem; + } + + #navPanelToggle.alt { + background-color: rgba(255, 255, 255, 0.875); + box-shadow: 0 0.125rem 0.75rem 0 rgba(30, 37, 45, 0.25); + color: #212931; + } + + #navPanelToggle.alt:hover { + background-color: #ffffff; + } + + @media screen and (max-width: 980px) { + + #navPanelToggle { + display: block; + } + + } + + @media screen and (max-width: 736px) { + + #navPanelToggle { + font-size: 0.8rem; + padding: 0.25rem 1rem; + } + + } + + #navPanel { + -moz-transform: translateX(20rem); + -webkit-transform: translateX(20rem); + -ms-transform: translateX(20rem); + transform: translateX(20rem); + -moz-transition: -moz-transform 0.5s ease, box-shadow 0.5s ease, visibility 0.5s; + -webkit-transition: -webkit-transform 0.5s ease, box-shadow 0.5s ease, visibility 0.5s; + -ms-transition: -ms-transform 0.5s ease, box-shadow 0.5s ease, visibility 0.5s; + transition: transform 0.5s ease, box-shadow 0.5s ease, visibility 0.5s; + display: none; + -webkit-overflow-scrolling: touch; + background: #ffffff; + box-shadow: none; + color: #212931; + height: 100%; + max-width: 80%; + overflow-y: auto; + padding: 3rem 2rem; + position: fixed; + right: 0; + top: 0; + visibility: hidden; + width: 20rem; + z-index: 10002; + } + + #navPanel .links { + list-style: none; + padding-left: 0; + } + + #navPanel .links li { + border-top: solid 2px #eeeeee; + } + + #navPanel .links li a { + border-bottom: 0; + display: block; + font-family: "Source Sans Pro", Helvetica, sans-serif; + font-size: 0.9rem; + font-size: 0.9rem; + font-weight: 900; + letter-spacing: 0.075em; + padding: 0.75rem 0; + text-transform: uppercase; + } + + #navPanel .links li:first-child { + border-top: 0; + } + + #navPanel .close { + text-decoration: none; + -moz-transition: color 0.2s ease-in-out; + -webkit-transition: color 0.2s ease-in-out; + -ms-transition: color 0.2s ease-in-out; + transition: color 0.2s ease-in-out; + -webkit-tap-highlight-color: rgba(0, 0, 0, 0); + border: 0; + color: #909498; + cursor: pointer; + display: block; + height: 3.25rem; + line-height: 3.25rem; + padding-right: 1.25rem; + position: absolute; + right: 0; + text-align: right; + top: 0; + vertical-align: middle; + width: 7rem; + } + + #navPanel .close:before { + -moz-osx-font-smoothing: grayscale; + -webkit-font-smoothing: antialiased; + display: inline-block; + font-style: normal; + font-variant: normal; + text-rendering: auto; + line-height: 1; + text-transform: none !important; + font-family: 'Font Awesome 5 Free'; + font-weight: 900; + } + + #navPanel .close:before { + content: '\f00d'; + font-size: 1.25rem; + } + + #navPanel .close:hover { + color: #212931; + } + + @media screen and (max-width: 736px) { + + #navPanel .close { + height: 4rem; + line-height: 4rem; + } + + } + + @media screen and (max-width: 980px) { + + #navPanel { + display: block; + } + + } + + @media screen and (max-width: 736px) { + + #navPanel { + padding: 2.5rem 1.75rem; + } + + } + + @media screen and (max-width: 980px) { + + body.is-navPanel-visible #wrapper { + opacity: 0.5; + } + + body.is-navPanel-visible #navPanel { + -moz-transform: translateX(0); + -webkit-transform: translateX(0); + -ms-transform: translateX(0); + transform: translateX(0); + box-shadow: 0 0 1.5rem 0 rgba(0, 0, 0, 0.2); + visibility: visible; + } + + } \ No newline at end of file diff --git a/assets/css/noscript.css b/assets/css/noscript.css new file mode 100644 index 0000000..55e3dc8 --- /dev/null +++ b/assets/css/noscript.css @@ -0,0 +1,36 @@ +@import url(font-awesome.min.css); + +/* + Massively by HTML5 UP + html5up.net | @ajlkn + Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +*/ + +/* Wrapper */ + + #wrapper { + background-color: #212931; + background-image: url("../../images/overlay.png"), linear-gradient(0deg, rgba(0, 0, 0, 0.1), rgba(0, 0, 0, 0.1)), url("../../images/bg.jpg"); + background-size: auto, auto, 100% auto; + background-position: center, center, top center; + background-repeat: repeat, no-repeat, no-repeat; + background-attachment: fixed, fixed, fixed; + } + + #wrapper.fade-in:before { + display: none; + } + +/* Intro */ + + body.is-preload #intro { + opacity: 1; + } + + body.is-preload #intro:not(.hidden) + #header + #nav { + -moz-transform: 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Meant for use with panel(). + * @return {jQuery} jQuery object. + */ + $.fn.navList = function() { + + var $this = $(this); + $a = $this.find('a'), + b = []; + + $a.each(function() { + + var $this = $(this), + indent = Math.max(0, $this.parents('li').length - 1), + href = $this.attr('href'), + target = $this.attr('target'); + + b.push( + '' + + '' + + $this.text() + + '' + ); + + }); + + return b.join(''); + + }; + + /** + * Panel-ify an element. + * @param {object} userConfig User config. + * @return {jQuery} jQuery object. + */ + $.fn.panel = function(userConfig) { + + // No elements? + if (this.length == 0) + return $this; + + // Multiple elements? + if (this.length > 1) { + + for (var i=0; i < this.length; i++) + $(this[i]).panel(userConfig); + + return $this; + + } + + // Vars. + var $this = $(this), + $body = $('body'), + $window = $(window), + id = $this.attr('id'), + config; + + // Config. + config = $.extend({ + + // Delay. + delay: 0, + + // Hide panel on link click. + hideOnClick: false, + + // Hide panel on escape keypress. + hideOnEscape: false, + + // Hide panel on swipe. + hideOnSwipe: false, + + // Reset scroll position on hide. + resetScroll: false, + + // Reset forms on hide. + resetForms: false, + + // Side of viewport the panel will appear. + side: null, + + // Target element for "class". + target: $this, + + // Class to toggle. + visibleClass: 'visible' + + }, userConfig); + + // Expand "target" if it's not a jQuery object already. + if (typeof config.target != 'jQuery') + config.target = $(config.target); + + // Panel. + + // Methods. + $this._hide = function(event) { + + // Already hidden? Bail. + if (!config.target.hasClass(config.visibleClass)) + return; + + // If an event was provided, cancel it. + if (event) { + + event.preventDefault(); + event.stopPropagation(); + + } + + // Hide. + config.target.removeClass(config.visibleClass); + + // Post-hide stuff. + window.setTimeout(function() { + + // Reset scroll position. + if (config.resetScroll) + $this.scrollTop(0); + + // Reset forms. + if (config.resetForms) + $this.find('form').each(function() { + this.reset(); + }); + + }, config.delay); + + }; + + // Vendor fixes. + $this + .css('-ms-overflow-style', '-ms-autohiding-scrollbar') + .css('-webkit-overflow-scrolling', 'touch'); + + // Hide on click. + if (config.hideOnClick) { + + $this.find('a') + .css('-webkit-tap-highlight-color', 'rgba(0,0,0,0)'); + + $this + .on('click', 'a', function(event) { + + var $a = $(this), + href = $a.attr('href'), + target = $a.attr('target'); + + if (!href || href == '#' || href == '' || href == '#' + id) + return; + + // Cancel original event. + event.preventDefault(); + event.stopPropagation(); + + // Hide panel. + $this._hide(); + + // Redirect to href. + window.setTimeout(function() { + + if (target == '_blank') + window.open(href); + else + window.location.href = href; + + }, config.delay + 10); + + }); + + } + + // Event: Touch stuff. + $this.on('touchstart', function(event) { + + $this.touchPosX = event.originalEvent.touches[0].pageX; + $this.touchPosY = event.originalEvent.touches[0].pageY; + + }) + + $this.on('touchmove', function(event) { + + if ($this.touchPosX === null + || $this.touchPosY === null) + return; + + var diffX = $this.touchPosX - event.originalEvent.touches[0].pageX, + diffY = $this.touchPosY - event.originalEvent.touches[0].pageY, + th = $this.outerHeight(), + ts = ($this.get(0).scrollHeight - $this.scrollTop()); + + // Hide on swipe? + if (config.hideOnSwipe) { + + var result = false, + boundary = 20, + delta = 50; + + switch (config.side) { + + case 'left': + result = (diffY < boundary && diffY > (-1 * boundary)) && (diffX > delta); + break; + + case 'right': + result = (diffY < boundary && diffY > (-1 * boundary)) && (diffX < (-1 * delta)); + break; + + case 'top': + result = (diffX < boundary && diffX > (-1 * boundary)) && (diffY > delta); + break; + + case 'bottom': + result = (diffX < boundary && diffX > (-1 * boundary)) && (diffY < (-1 * delta)); + break; + + default: + break; + + } + + if (result) { + + $this.touchPosX = null; + $this.touchPosY = null; + $this._hide(); + + return false; + + } + + } + + // Prevent vertical scrolling past the top or bottom. + if (($this.scrollTop() < 0 && diffY < 0) + || (ts > (th - 2) && ts < (th + 2) && diffY > 0)) { + + event.preventDefault(); + event.stopPropagation(); + + } + + }); + + // Event: Prevent certain events inside the panel from bubbling. + $this.on('click touchend touchstart touchmove', function(event) { + event.stopPropagation(); + }); + + // Event: Hide panel if a child anchor tag pointing to its ID is clicked. + $this.on('click', 'a[href="#' + id + '"]', function(event) { + + event.preventDefault(); + event.stopPropagation(); + + config.target.removeClass(config.visibleClass); + + }); + + // Body. + + // Event: Hide panel on body click/tap. + $body.on('click touchend', function(event) { + $this._hide(event); + }); + + // Event: Toggle. + $body.on('click', 'a[href="#' + id + '"]', function(event) { + + event.preventDefault(); + event.stopPropagation(); + + config.target.toggleClass(config.visibleClass); + + }); + + // Window. + + // Event: Hide on ESC. + if (config.hideOnEscape) + $window.on('keydown', function(event) { + + if (event.keyCode == 27) + $this._hide(event); + + }); + + return $this; + + }; + + /** + * Apply "placeholder" attribute polyfill to one or more forms. + * @return {jQuery} jQuery object. + */ + $.fn.placeholder = function() { + + // Browser natively supports placeholders? Bail. + if (typeof (document.createElement('input')).placeholder != 'undefined') + return $(this); + + // No elements? + if (this.length == 0) + return $this; + + // Multiple elements? + if (this.length > 1) { + + for (var i=0; i < this.length; i++) + $(this[i]).placeholder(); + + return $this; + + } + + // Vars. + var $this = $(this); + + // Text, TextArea. + $this.find('input[type=text],textarea') + .each(function() { + + var i = $(this); + + if (i.val() == '' + || i.val() == i.attr('placeholder')) + i + .addClass('polyfill-placeholder') + .val(i.attr('placeholder')); + + }) + .on('blur', function() { + + var i = $(this); + + if (i.attr('name').match(/-polyfill-field$/)) + return; + + if (i.val() == '') + i + .addClass('polyfill-placeholder') + .val(i.attr('placeholder')); + + }) + .on('focus', function() { + + var i = $(this); + + if (i.attr('name').match(/-polyfill-field$/)) + return; + + if (i.val() == i.attr('placeholder')) + i + .removeClass('polyfill-placeholder') + .val(''); + + }); + + // Password. + $this.find('input[type=password]') + .each(function() { + + var i = $(this); + var x = $( + $('
') + .append(i.clone()) + .remove() + .html() + .replace(/type="password"/i, 'type="text"') + .replace(/type=password/i, 'type=text') + ); + + if (i.attr('id') != '') + x.attr('id', i.attr('id') + '-polyfill-field'); + + if (i.attr('name') != '') + x.attr('name', i.attr('name') + '-polyfill-field'); + + x.addClass('polyfill-placeholder') + .val(x.attr('placeholder')).insertAfter(i); + + if (i.val() == '') + i.hide(); + else + x.hide(); + + i + .on('blur', function(event) { + + event.preventDefault(); + + var x = i.parent().find('input[name=' + i.attr('name') + '-polyfill-field]'); + + if (i.val() == '') { + + i.hide(); + x.show(); + + } + + }); + + x + .on('focus', function(event) { + + event.preventDefault(); + + var i = x.parent().find('input[name=' + x.attr('name').replace('-polyfill-field', '') + ']'); + + x.hide(); + + i + .show() + .focus(); + + }) + .on('keypress', function(event) { + + event.preventDefault(); + x.val(''); + + }); + + }); + + // Events. + $this + .on('submit', function() { + + $this.find('input[type=text],input[type=password],textarea') + .each(function(event) { + + var i = $(this); + + if (i.attr('name').match(/-polyfill-field$/)) + i.attr('name', ''); + + if (i.val() == i.attr('placeholder')) { + + i.removeClass('polyfill-placeholder'); + i.val(''); + + } + + }); + + }) + .on('reset', function(event) { + + event.preventDefault(); + + $this.find('select') + .val($('option:first').val()); + + $this.find('input,textarea') + .each(function() { + + var i = $(this), + x; + + i.removeClass('polyfill-placeholder'); + + switch (this.type) { + + case 'submit': + case 'reset': + break; + + case 'password': + i.val(i.attr('defaultValue')); + + x = i.parent().find('input[name=' + i.attr('name') + '-polyfill-field]'); + + if (i.val() == '') { + i.hide(); + x.show(); + } + else { + i.show(); + x.hide(); + } + + break; + + case 'checkbox': + case 'radio': + i.attr('checked', i.attr('defaultValue')); + break; + + case 'text': + case 'textarea': + i.val(i.attr('defaultValue')); + + if (i.val() == '') { + i.addClass('polyfill-placeholder'); + i.val(i.attr('placeholder')); + } + + break; + + default: + i.val(i.attr('defaultValue')); + break; + + } + }); + + }); + + return $this; + + }; + + /** + * Moves elements to/from the first positions of their respective parents. + * @param {jQuery} $elements Elements (or selector) to move. + * @param {bool} condition If true, moves elements to the top. Otherwise, moves elements back to their original locations. + */ + $.prioritize = function($elements, condition) { + + var key = '__prioritize'; + + // Expand $elements if it's not already a jQuery object. + if (typeof $elements != 'jQuery') + $elements = $($elements); + + // Step through elements. + $elements.each(function() { + + var $e = $(this), $p, + $parent = $e.parent(); + + // No parent? Bail. + if ($parent.length == 0) + return; + + // Not moved? Move it. + if (!$e.data(key)) { + + // Condition is false? Bail. + if (!condition) + return; + + // Get placeholder (which will serve as our point of reference for when this element needs to move back). + $p = $e.prev(); + + // Couldn't find anything? Means this element's already at the top, so bail. + if ($p.length == 0) + return; + + // Move element to top of parent. + $e.prependTo($parent); + + // Mark element as moved. + $e.data(key, $p); + + } + + // Moved already? + else { + + // Condition is true? Bail. + if (condition) + return; + + $p = $e.data(key); + + // Move element back to its original location (using our placeholder). + $e.insertAfter($p); + + // Unmark element as moved. + $e.removeData(key); + + } + + }); + + }; + +})(jQuery); \ No newline at end of file diff --git a/assets/sass/base/_page.scss b/assets/sass/base/_page.scss new file mode 100644 index 0000000..84c2451 --- /dev/null +++ b/assets/sass/base/_page.scss @@ -0,0 +1,48 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Basic */ + + // MSIE: Required for IEMobile. + @-ms-viewport { + width: device-width; + } + + // MSIE: Prevents scrollbar from overlapping content. + body { + -ms-overflow-style: scrollbar; + } + + // Ensures page width is always >=320px. + @include breakpoint('<=xsmall') { + html, body { + min-width: 320px; + } + } + + // Set box model to border-box. + // Based on css-tricks.com/inheriting-box-sizing-probably-slightly-better-best-practice + html { + box-sizing: border-box; + } + + *, *:before, *:after { + box-sizing: inherit; + } + + body { + + background-color: _palette(invert, bg); + + // Stops initial animations until page loads. + &.is-preload { + *, *:before, *:after { + @include vendor('animation', 'none !important'); + @include vendor('transition', 'none !important'); + } + } + + } \ No newline at end of file diff --git a/assets/sass/base/_reset.scss b/assets/sass/base/_reset.scss new file mode 100644 index 0000000..0396226 --- /dev/null +++ b/assets/sass/base/_reset.scss @@ -0,0 +1,76 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +// Reset. +// Based on meyerweb.com/eric/tools/css/reset (v2.0 | 20110126 | License: public domain) + + html, body, div, span, applet, object, + iframe, h1, h2, h3, h4, h5, h6, p, blockquote, + pre, a, abbr, acronym, address, big, cite, + code, del, dfn, em, img, ins, kbd, q, s, samp, + small, strike, strong, sub, sup, tt, var, b, + u, i, center, dl, dt, dd, ol, ul, li, fieldset, + form, label, legend, table, caption, tbody, + tfoot, thead, tr, th, td, article, aside, + canvas, details, embed, figure, figcaption, + footer, header, hgroup, menu, nav, output, ruby, + section, summary, time, mark, audio, video { + margin: 0; + padding: 0; + border: 0; + font-size: 100%; + font: inherit; + vertical-align: baseline; + } + + article, aside, details, figcaption, figure, + footer, header, hgroup, menu, nav, section { + display: block; + } + + body { + line-height: 1; + } + + ol, ul { + list-style:none; + } + + blockquote, q { + quotes: none; + + &:before, + &:after { + content: ''; + content: none; + } + } + + table { + border-collapse: collapse; + border-spacing: 0; + } + + body { + -webkit-text-size-adjust: none; + } + + mark { + background-color: transparent; + color: inherit; + } + + input::-moz-focus-inner { + border: 0; + padding: 0; + } + + input, select, textarea { + -moz-appearance: none; + -webkit-appearance: none; + -ms-appearance: none; + appearance: none; + } \ No newline at end of file diff --git a/assets/sass/base/_typography.scss b/assets/sass/base/_typography.scss new file mode 100644 index 0000000..ee8673a --- /dev/null +++ b/assets/sass/base/_typography.scss @@ -0,0 +1,213 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Type */ + + html { + font-size: 16pt; + + @include breakpoint('<=xlarge') { + font-size: 12pt; + } + + @include breakpoint('<=large') { + font-size: 11pt; + } + + @include breakpoint('<=xxsmall') { + font-size: 10pt; + } + } + + body { + color: _palette(fg); + } + + body, input, select, textarea { + font-family: _font(family); + font-weight: _font(weight); + font-size: 1rem; + line-height: 2.375; + } + + a { + @include vendor('transition', ( + 'color #{_duration(transition)} ease-in-out', + 'background-color #{_duration(transition)} ease-in-out', + 'border-color #{_duration(transition)} ease-in-out', + 'box-shadow #{_duration(transition)} ease-in-out' + )); + border-bottom: dotted 1px; + text-decoration: none; + + &:hover { + border-bottom-color: transparent; + } + } + + strong, b { + font-weight: _font(weight-bold); + } + + em, i { + font-style: italic; + } + + p { + text-align: justify; + margin: 0 0 _size(element-margin) 0; + } + + h1, h2, h3, h4, h5, h6 { + font-family: _font(family-heading); + font-weight: _font(weight-heading); + line-height: 1.5; + letter-spacing: 0.075em; + text-transform: uppercase; + margin: 0 0 (_size(element-margin) * 0.5) 0; + + a { + border-bottom: 0; + color: inherit; + text-decoration: none; + } + } + + h1 { + font-size: 4rem; + line-height: 1.1; + margin: 0 0 _size(element-margin) 0; + } + + h2 { + font-size: 1.75rem; + line-height: 1.3; + margin: 0 0 (_size(element-margin) * 0.75) 0; + } + + h3 { + font-size: 1.25rem; + margin: 0 0 (_size(element-margin) * 0.75) 0; + } + + h4 { + font-size: 1rem; + } + + h5 { + font-size: 0.9rem; + } + + h6 { + font-size: 0.8rem; + } + + sub { + font-size: 0.8rem; + position: relative; + top: 0.5rem; + } + + sup { + font-size: 0.8rem; + position: relative; + top: -0.5rem; + } + + blockquote { + border-left: solid 4px; + font-style: italic; + margin: 0 0 _size(element-margin) 0; + padding: (_size(element-margin) / 4) 0 (_size(element-margin) / 4) _size(element-margin); + } + + code { + border-radius: _size(border-radius); + border: solid 2px; + font-family: _font(family-fixed); + font-size: 0.9rem; + margin: 0 0.25rem; + padding: 0.25rem 0.65rem; + } + + pre { + -webkit-overflow-scrolling: touch; + font-family: _font(family-fixed); + font-size: 0.9rem; + margin: 0 0 _size(element-margin) 0; + + code { + display: block; + line-height: 1.75; + padding: 1rem 1.5rem; + overflow-x: auto; + } + } + + hr { + border: 0; + border-bottom: solid 2px; + margin: (_size(element-margin) * 1.5) 0; + + &.major { + margin: (_size(element-margin) * 2.5) 0; + } + } + + .align-left { + text-align: left; + } + + .align-center { + text-align: center; + } + + .align-right { + text-align: right; + } + + @mixin color-typography($p: null) { + @if $p != null { + color: _palette($p, fg); + } + + input, select, textarea { + color: _palette($p, fg-bold); + } + + a { + color: _palette($p, fg-bold); + border-bottom-color: transparentize(_palette($p, fg), 0.5); + + &:hover { + border-bottom-color: transparent; + color: _palette($p, accent) !important; + } + } + + strong, b { + color: _palette($p, fg-bold); + } + + h1, h2, h3, h4, h5, h6 { + color: _palette($p, fg-bold); + } + + blockquote { + border-left-color: _palette($p, border); + } + + code { + background: _palette($p, border-bg); + border-color: _palette($p, border); + } + + hr { + border-bottom-color: _palette($p, border); + } + } + + @include color-typography; \ No newline at end of file diff --git a/assets/sass/components/_actions.scss b/assets/sass/components/_actions.scss new file mode 100644 index 0000000..bd8f808 --- /dev/null +++ b/assets/sass/components/_actions.scss @@ -0,0 +1,101 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Actions */ + + ul.actions { + @include vendor('display', 'flex'); + cursor: default; + list-style: none; + margin-left: (_size(element-margin) * -0.5); + padding-left: 0; + + li { + padding: 0 0 0 (_size(element-margin) * 0.5); + vertical-align: middle; + } + + &.special { + @include vendor('justify-content', 'center'); + width: 100%; + margin-left: 0; + + li { + &:first-child { + padding-left: 0; + } + } + } + + &.stacked { + @include vendor('flex-direction', 'column'); + margin-left: 0; + + li { + padding: (_size(element-margin) * 0.65) 0 0 0; + + &:first-child { + padding-top: 0; + } + } + } + + &.fit { + width: calc(100% + #{_size(element-margin) * 0.5}); + + li { + @include vendor('flex-grow', '1'); + @include vendor('flex-shrink', '1'); + width: 100%; + + > * { + width: 100%; + } + } + + &.stacked { + width: 100%; + } + } + + @include breakpoint('<=xsmall') { + &:not(.fixed) { + @include vendor('flex-direction', 'column'); + margin-left: 0; + width: 100% !important; + + li { + @include vendor('flex-grow', '1'); + @include vendor('flex-shrink', '1'); + padding: (_size(element-margin) * 0.5) 0 0 0; + text-align: center; + width: 100%; + + > * { + width: 100%; + } + + &:first-child { + padding-top: 0; + } + + input[type="submit"], + input[type="reset"], + input[type="button"], + button, + .button { + width: 100%; + + &.icon { + &:before { + margin-left: -0.5rem; + } + } + } + } + } + } + } \ No newline at end of file diff --git a/assets/sass/components/_box.scss b/assets/sass/components/_box.scss new file mode 100644 index 0000000..20c57d9 --- /dev/null +++ b/assets/sass/components/_box.scss @@ -0,0 +1,34 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Box */ + + .box { + border-radius: _size(border-radius); + border: solid 2px; + margin-bottom: _size(element-margin); + padding: 1.5rem; + + > :last-child, + > :last-child > :last-child, + > :last-child > :last-child > :last-child { + margin-bottom: 0; + } + + &.alt { + border: 0; + border-radius: 0; + padding: 0; + } + } + + @mixin color-box($p: null) { + .box { + border-color: _palette($p, border); + } + } + + @include color-box; \ No newline at end of file diff --git a/assets/sass/components/_button.scss b/assets/sass/components/_button.scss new file mode 100644 index 0000000..b0b4821 --- /dev/null +++ b/assets/sass/components/_button.scss @@ -0,0 +1,134 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Button */ + + input[type="submit"], + input[type="reset"], + input[type="button"], + button, + .button { + @include vendor('appearance', 'none'); + @include vendor('transition', ( + 'background-color #{_duration(transition)} ease-in-out', + 'box-shadow #{_duration(transition)} ease-in-out', + 'color #{_duration(transition)} ease-in-out' + )); + border: 0; + border-radius: 0; + cursor: pointer; + display: inline-block; + font-family: _font(family-heading); + font-size: 0.8rem; + font-weight: _font(weight-heading); + letter-spacing: 0.075em; + height: 3rem; + line-height: 3rem; + padding: 0 2rem; + text-align: center; + text-decoration: none; + text-transform: uppercase; + white-space: nowrap; + + &.icon { + &:before { + margin-right: 0.5rem; + } + + &.solo { + position: relative; + width: 4rem; + height: 4rem; + line-height: 4rem; + border-radius: 4rem; + text-indent: 4rem; + overflow: hidden; + padding: 0; + white-space: nowrap; + + &:before { + position: absolute; + display: block; + top: 0; + left: 0; + width: inherit; + height: inherit; + line-height: inherit; + font-size: 1.25rem; + margin-right: 0; + text-align: center; + text-indent: 0; + } + } + } + + &.fit { + width: 100%; + } + + &.small { + font-size: 0.7rem; + height: 2.5rem; + line-height: 2.5rem; + padding: 0 1.5rem; + } + + &.large { + font-size: 0.9rem; + height: 3.5rem; + line-height: 3.5rem; + padding: 0 2.75rem; + } + + @include breakpoint('<=medium') { + font-size: 0.9rem; + height: 3.25rem; + line-height: 3.25rem; + + &.large { + font-size: 1rem; + height: 3.75rem; + line-height: 3.75rem; + } + } + + &.disabled, + &:disabled { + @include vendor('pointer-events', 'none'); + opacity: 0.25; + } + } + + @mixin color-button($p: null) { + $highlight: _palette($p, highlight); + + input[type="submit"], + input[type="reset"], + input[type="button"], + button, + .button { + background-color: transparent; + box-shadow: inset 0 0 0 2px _palette($p, fg-bold); + color: _palette($p, fg-bold) !important; + + &:hover { + box-shadow: inset 0 0 0 2px _palette($p, accent); + color: _palette($p, accent) !important; + } + + &.primary { + background-color: _palette($p, fg-bold); + box-shadow: none; + color: _palette($p, bg) !important; + + &:hover { + background-color: _palette($p, accent); + } + } + } + } + + @include color-button; \ No newline at end of file diff --git a/assets/sass/components/_form.scss b/assets/sass/components/_form.scss new file mode 100644 index 0000000..7d32759 --- /dev/null +++ b/assets/sass/components/_form.scss @@ -0,0 +1,293 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Form */ + + form { + margin: 0 0 _size(element-margin) 0; + + > :last-child { + margin-bottom: 0; + } + + > .fields { + $gutter: (_size(element-margin) * 0.75); + + @include vendor('display', 'flex'); + @include vendor('flex-wrap', 'wrap'); + width: calc(100% + #{$gutter * 2}); + margin: ($gutter * -1) 0 _size(element-margin) ($gutter * -1); + + > .field { + @include vendor('flex-grow', '0'); + @include vendor('flex-shrink', '0'); + padding: $gutter 0 0 $gutter; + width: calc(100% - #{$gutter * 1}); + + &.half { + width: calc(50% - #{$gutter * 0.5}); + } + + &.third { + width: calc(#{100% / 3} - #{$gutter * (1 / 3)}); + } + + &.quarter { + width: calc(25% - #{$gutter * 0.25}); + } + } + } + + @include breakpoint('<=xsmall') { + > .fields { + $gutter: (_size(element-margin) * 0.75); + + width: calc(100% + #{$gutter * 2}); + margin: ($gutter * -1) 0 _size(element-margin) ($gutter * -1); + + > .field { + padding: $gutter 0 0 $gutter; + width: calc(100% - #{$gutter * 1}); + + &.half { + width: calc(100% - #{$gutter * 1}); + } + + &.third { + width: calc(100% - #{$gutter * 1}); + } + + &.quarter { + width: calc(100% - #{$gutter * 1}); + } + } + } + } + } + + label { + display: block; + font-family: _font(family-heading); + font-weight: _font(weight-heading); + line-height: 1.5; + letter-spacing: 0.075em; + font-size: 0.8rem; + text-transform: uppercase; + margin: 0 0 (_size(element-margin) * 0.375) 0; + + @include breakpoint('<=medium') { + font-size: 0.9rem; + } + } + + input[type="text"], + input[type="password"], + input[type="email"], + select, + textarea { + @include vendor('appearance', 'none'); + background: transparent; + border-radius: 0; + border: solid 2px; + color: inherit; + display: block; + outline: 0; + padding: 0 1rem; + text-decoration: none; + width: 100%; + + &:invalid { + box-shadow: none; + } + } + + select { + background-size: 1.25rem; + background-repeat: no-repeat; + background-position: calc(100% - 1rem) center; + height: _size(element-height); + padding-right: _size(element-height); + text-overflow: ellipsis; + + &:focus { + &::-ms-value { + background-color: transparent; + } + } + + &::-ms-expand { + display: none; + } + } + + input[type="text"], + input[type="password"], + input[type="email"], + select { + height: _size(element-height); + } + + textarea { + padding: 0.75rem 1rem; + } + + input[type="checkbox"], + input[type="radio"], { + @include vendor('appearance', 'none'); + display: block; + float: left; + margin-right: -2rem; + opacity: 0; + width: 1rem; + z-index: -1; + + & + label { + @include icon(false, solid); + cursor: pointer; + display: inline-block; + font-size: 1rem; + letter-spacing: 0; + font-family: _font(family); + text-transform: none; + font-weight: _font(weight); + padding-left: (_size(element-height) * 0.6) + 1rem; + padding-right: 1rem; + position: relative; + + &:before { + border-radius: 0; + border: solid 2px; + content: ''; + display: inline-block; + font-size: 0.8rem; + height: (_size(element-height) * 0.6); + left: 0; + line-height: (_size(element-height) * 0.55); + position: absolute; + text-align: center; + top: -0.125rem; + width: (_size(element-height) * 0.6); + } + } + + &:checked + label { + &:before { + content: '\f00c'; + } + } + } + + input[type="checkbox"] { + & + label { + &:before { + border-radius: 0; + } + } + } + + input[type="radio"] { + & + label { + &:before { + border-radius: 100%; + } + } + } + + ::-webkit-input-placeholder { + opacity: 1.0; + } + + :-moz-placeholder { + opacity: 1.0; + } + + ::-moz-placeholder { + opacity: 1.0; + } + + :-ms-input-placeholder { + opacity: 1.0; + } + + @mixin color-form($p: null) { + label { + color: _palette($p, fg-bold); + } + + input[type="text"], + input[type="password"], + input[type="email"], + select, + textarea { + border-color: _palette($p, border); + + &:focus { + border-color: _palette($p, accent); + } + } + + select { + background-image: svg-url(""); + + option { + background-color: _palette($p, bg); + color: _palette($p, fg); + } + } + + .select-wrapper { + &:before { + color: _palette($p, border); + } + } + + input[type="checkbox"], + input[type="radio"], { + & + label { + color: _palette($p, fg); + + &:before { + border-color: _palette($p, border); + } + } + + &:checked + label { + &:before { + background-color: _palette($p, fg-bold); + border-color: _palette($p, fg-bold); + color: _palette($p, bg); + } + } + + &:focus + label { + &:before { + border-color: _palette($p, accent); + } + } + } + + ::-webkit-input-placeholder { + color: _palette($p, fg-light) !important; + } + + :-moz-placeholder { + color: _palette($p, fg-light) !important; + } + + ::-moz-placeholder { + color: _palette($p, fg-light) !important; + } + + :-ms-input-placeholder { + color: _palette($p, fg-light) !important; + } + + .formerize-placeholder { + color: _palette($p, fg-light) !important; + } + } + + @include color-form; \ No newline at end of file diff --git a/assets/sass/components/_icon.scss b/assets/sass/components/_icon.scss new file mode 100644 index 0000000..35d94dc --- /dev/null +++ b/assets/sass/components/_icon.scss @@ -0,0 +1,33 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Icon */ + + .icon { + @include icon; + border-bottom: none; + position: relative; + + > .label { + display: none; + } + + &:before { + line-height: inherit; + } + + &.solid { + &:before { + font-weight: 900; + } + } + + &.brands { + &:before { + font-family: 'Font Awesome 5 Brands'; + } + } + } \ No newline at end of file diff --git a/assets/sass/components/_icons.scss b/assets/sass/components/_icons.scss new file mode 100644 index 0000000..fb9e829 --- /dev/null +++ b/assets/sass/components/_icons.scss @@ -0,0 +1,52 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Icons */ + + ul.icons { + cursor: default; + list-style: none; + padding-left: 0; + + li { + display: inline-block; + padding: 0 0.5rem 0 0; + vertical-align: middle; + + &:last-child { + padding-right: 0; + } + + .icon { + &:before { + width: 2.25rem; + height: 2.25rem; + line-height: 2.25rem; + display: inline-block; + text-align: center; + border-radius: 100%; + font-size: 1.25rem; + } + } + } + + &.alt { + li { + .icon { + &:before { + @include vendor('transition', ( + 'color #{_duration(transition)} ease-in-out', + 'background-color #{_duration(transition)} ease-in-out', + 'border-color #{_duration(transition)} ease-in-out', + 'box-shadow #{_duration(transition)} ease-in-out' + )); + + font-size: 1rem; + } + } + } + } + } \ No newline at end of file diff --git a/assets/sass/components/_image.scss b/assets/sass/components/_image.scss new file mode 100644 index 0000000..a86eb43 --- /dev/null +++ b/assets/sass/components/_image.scss @@ -0,0 +1,92 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Image */ + + .image { + border: 0; + border-radius: _size(border-radius); + display: inline-block; + position: relative; + + img { + border-radius: _size(border-radius); + display: block; + } + + &.left, + &.right { + max-width: 40%; + + img { + width: 100%; + } + } + + &.left { + float: left; + margin: 0 2rem 2rem 0; + top: 0.75rem; + } + + &.right { + float: right; + margin: 0 0 2rem 2rem; + top: 0.75rem; + } + + &.fit { + display: block; + margin: (_size(element-margin) * 1.25) 0; + width: 100%; + + &:first-child { + margin-top: 0; + } + + img { + width: 100%; + } + } + + &.main { + display: block; + margin: (_size(element-margin) * 2) 0; + width: 100%; + + &:first-child { + margin-top: 0; + } + + img { + width: 100%; + } + } + + @include breakpoint('<=small') { + &.fit { + margin: _size(element-margin) 0; + } + + &.main { + margin: _size(element-margin) 0; + } + } + } + + a.image { + overflow: hidden; + + img { + @include vendor('transition', 'transform #{_duration(transition)} ease-out'); + } + + &:hover { + img { + @include vendor('transform', 'scale(1.05)'); + } + } + } \ No newline at end of file diff --git a/assets/sass/components/_list.scss b/assets/sass/components/_list.scss new file mode 100644 index 0000000..9ef7786 --- /dev/null +++ b/assets/sass/components/_list.scss @@ -0,0 +1,98 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* List */ + + ol { + list-style: decimal; + margin: 0 0 _size(element-margin) 0; + padding-left: 1.25rem; + + li { + padding-left: 0.25rem; + } + } + + ul { + list-style: disc; + margin: 0 0 _size(element-margin) 0; + padding-left: 1rem; + + li { + padding-left: 0.5rem; + } + + &.divided { + list-style: none; + padding-left: 0; + + li { + border-top: solid 1px; + padding: 0.5rem 0; + + &:first-child { + border-top: 0; + padding-top: 0; + } + } + } + } + + dl { + margin: 0 0 _size(element-margin) 0; + + dt { + display: block; + font-weight: _font(weight-bold); + margin: 0 0 (_size(element-margin) * 0.5) 0; + } + + dd { + margin-left: _size(element-margin); + } + } + + @mixin color-list($p: null) { + ul { + &.divided { + li { + border-top-color: _palette($p, border); + } + } + + &.icons { + li { + a.icon { + &:hover { + &:before { + color: _palette($p, accent); + } + } + } + } + + &.alt { + li { + .icon { + &:before { + box-shadow: inset 0 0 0 2px _palette($p, border); + } + } + + a.icon { + &:hover { + &:before { + box-shadow: inset 0 0 0 2px _palette($p, accent); + } + } + } + } + } + } + } + } + + @include color-list; \ No newline at end of file diff --git a/assets/sass/components/_pagination.scss b/assets/sass/components/_pagination.scss new file mode 100644 index 0000000..b9043a3 --- /dev/null +++ b/assets/sass/components/_pagination.scss @@ -0,0 +1,111 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Pagination */ + + .pagination { + @include vendor('display', 'inline-flex'); + @include vendor('user-select', 'none'); + cursor: default; + list-style: none; + margin: 0 0 _size(element-margin) 2px; + padding: 0; + + a, span { + @include vendor('transition', ( + 'background-color #{_duration(transition)} ease-in-out', + 'border-color #{_duration(transition)} ease-in-out', + 'box-shadow #{_duration(transition)} ease-in-out', + 'color #{_duration(transition)} ease-in-out' + )); + border: solid 2px; + display: inline-block; + font-family: _font(family-heading); + font-size: 0.8rem; + font-weight: _font(weight-heading); + height: _size(element-height); + letter-spacing: 0.075em; + letter-spacing: _font(letter-spacing-heading); + line-height: calc(#{_size(element-height)} - 4px); + margin-left: -2px; + min-width: _size(element-height); + position: relative; + text-align: center; + text-decoration: none; + text-transform: uppercase; + } + + .next, .previous { + @include icon(false, solid); + padding: 0 1.75rem; + + &:before { + display: inline-block; + color: inherit !important; + line-height: inherit; + } + } + + .previous { + &:before { + content: '\f104'; + margin-right: (0.75em / 0.8); + } + } + + .next { + &:before { + content: '\f105'; + float: right; + margin-left: (0.75em / 0.8); + } + } + + @include breakpoint('<=medium') { + a, span { + font-size: 0.9rem; + } + } + + @include breakpoint('<=xsmall') { + .page, .extra { + display: none; + } + } + } + + @mixin color-pagination($p: null) { + .pagination { + a, span { + border-color: _palette($p, border); + } + + a { + color: _palette($p, fg-bold) !important; + + &:hover { + color: _palette($p, accent) !important; + border-color: _palette($p, accent); + z-index: 1; + + & + a, + & + span { + border-left-color: _palette($p, accent); + } + } + + &.active { + background-color: _palette($p, border); + } + } + + span { + color: _palette($p, border); + } + } + } + + @include color-pagination; \ No newline at end of file diff --git a/assets/sass/components/_row.scss b/assets/sass/components/_row.scss new file mode 100644 index 0000000..eda5ae6 --- /dev/null +++ b/assets/sass/components/_row.scss @@ -0,0 +1,35 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Row */ + + .row { + @include html-grid(1.5rem); + + @include breakpoint('<=xlarge') { + @include html-grid(1.5rem, 'xlarge'); + } + + @include breakpoint('<=large') { + @include html-grid(1.5rem, 'large'); + } + + @include breakpoint('<=medium') { + @include html-grid(1.5rem, 'medium'); + } + + @include breakpoint('<=small') { + @include html-grid(1.5rem, 'small'); + } + + @include breakpoint('<=xsmall') { + @include html-grid(1.5rem, 'xsmall'); + } + + @include breakpoint('<=xxsmall') { + @include html-grid(1.5rem, 'xxsmall'); + } + } \ No newline at end of file diff --git a/assets/sass/components/_section.scss b/assets/sass/components/_section.scss new file mode 100644 index 0000000..0f5d96d --- /dev/null +++ b/assets/sass/components/_section.scss @@ -0,0 +1,112 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Section/Article */ + + section, article { + &.special { + text-align: center; + } + } + + header { + cursor: default; + + > .date { + display: block; + font-size: 0.8rem; + height: 1; + margin: 0 0 (_size(element-margin) * 0.5) 0; + position: relative; + } + + > p { + font-style: italic; + } + + > h1 + p { + font-size: 1.1rem; + margin-top: -0.5rem; + line-height: 2; + } + + > h2 + p { + font-size: 1rem; + margin-top: -0.75rem; + } + + > h3 + p { + font-size: 0.9rem; + margin-top: -0.75rem; + } + + > h4 + p { + font-size: 0.8rem; + margin-top: -0.75rem; + } + + &.major { + margin: 0 0 (_size(element-margin) * 2) 0; + text-align: center; + + > :last-child { + margin-bottom: 0; + } + + > p { + margin-top: 0; + text-align: center; + } + + > .date { + font-size: 1rem; + margin: 0 0 (_size(element-margin) * 2) 0; + + &:before, &:after { + content: ''; + display: block; + position: absolute; + top: 50%; + width: calc(50% - 6rem); + border-top: solid 2px; + } + + &:before { + left: 0; + } + + &:after { + right: 0; + } + } + } + + @include breakpoint('<=medium') { + br { + display: none; + } + } + + @include breakpoint('<=small') { + &.major { + margin: 0 0 _size(element-margin) 0; + } + } + } + + @mixin color-section($p: null) { + header { + &.major { + .date { + &:before, &:after { + border-top-color: _palette($p, border); + } + } + } + } + } + + @include color-section; \ No newline at end of file diff --git a/assets/sass/components/_table.scss b/assets/sass/components/_table.scss new file mode 100644 index 0000000..9a30143 --- /dev/null +++ b/assets/sass/components/_table.scss @@ -0,0 +1,122 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Table */ + + .table-wrapper { + -webkit-overflow-scrolling: touch; + overflow-x: auto; + } + + table { + margin: 0 0 _size(element-margin) 0; + width: 100%; + + tbody { + tr { + border: solid 1px; + border-left: 0; + border-right: 0; + } + } + + td { + padding: 0.75rem 0.75rem; + } + + th { + font-family: _font(family-heading); + font-size: 0.8rem; + font-weight: _font(weight-heading); + letter-spacing: 0.075em; + line-height: 1.5; + padding: 0 0.75rem 0.75rem 0.75rem; + text-align: left; + text-transform: uppercase; + + @include breakpoint('<=medium') { + font-size: 0.9rem; + } + } + + thead { + border-bottom: solid 2px; + } + + tfoot { + border-top: solid 2px; + } + + &.alt { + border-collapse: separate; + + tbody { + tr { + td { + border: solid 1px; + border-left-width: 0; + border-top-width: 0; + + &:first-child { + border-left-width: 1px; + } + } + + &:first-child { + td { + border-top-width: 1px; + } + } + } + } + + thead { + border-bottom: 0; + } + + tfoot { + border-top: 0; + } + } + } + + @mixin color-table($p: null) { + table { + tbody { + tr { + border-color: _palette($p, border); + + &:nth-child(2n + 1) { + background-color: _palette($p, border-bg); + } + } + } + + th { + color: _palette($p, fg-bold); + } + + thead { + border-bottom-color: _palette($p, border); + } + + tfoot { + border-top-color: _palette($p, border); + } + + &.alt { + tbody { + tr { + td { + border-color: _palette($p, border); + } + } + } + } + } + } + + @include color-table; \ No newline at end of file diff --git a/assets/sass/layout/_footer.scss b/assets/sass/layout/_footer.scss new file mode 100644 index 0000000..09bbc20 --- /dev/null +++ b/assets/sass/layout/_footer.scss @@ -0,0 +1,243 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Footer */ + + #footer { + @include color(alt); + @include vendor('display', 'flex'); + background-color: _palette(alt, bg); + color: _palette(fg-light); + cursor: default; + position: relative; + margin: 0 auto; + width: calc(100% - #{_size(padding) * 2}); + max-width: _size(wrapper); + z-index: 2; + + > section { + @include vendor('flex-basis', '50%'); + @include vendor('flex-grow', '1'); + @include vendor('flex-shrink', '1'); + @include padding((_size(padding) * 2), (_size(padding) * 2)); + border-left: solid 2px _palette(alt, border); + + &:first-child { + border-left: 0; + } + + &.split { + @include vendor('display', 'flex'); + @include vendor('flex-direction', 'column'); + padding: 0; + + > section { + @include padding((_size(padding) * 2) - 1, (_size(padding) * 2)); + border-top: solid 2px _palette(alt, border); + + &:first-child { + @include padding((_size(padding) * 2) - 1, (_size(padding) * 2), (_size(padding), 0, 0, 0)); + border-top: 0; + } + + &:last-child { + @include padding((_size(padding) * 2) - 1, (_size(padding) * 2), (0, 0, _size(padding), 0)); + } + } + + &.contact { + > section { + @include vendor('display', 'flex'); + @include vendor('align-items', 'center'); + padding: (_size(padding) * 1.575) (_size(padding) * 2); + + > * { + margin-bottom: 0; + } + + > :first-child { + @include vendor('flex-shrink', '0'); + @include vendor('flex-grow', '0'); + width: 6rem; + } + + > :last-child { + @include vendor('flex-shrink', '1'); + @include vendor('flex-grow', '1'); + } + + &:first-child { + padding: (_size(padding) * 2) (_size(padding) * 2) ((_size(padding) * 2) - 1) (_size(padding) * 2); + } + + &:last-child { + padding: ((_size(padding) * 2) - 1) (_size(padding) * 2) (_size(padding) * 2) (_size(padding) * 2); + } + + &.alt { + @include vendor('align-items', 'flex-start'); + + > :last-child { + margin-top: -0.325rem; + } + } + } + } + } + } + + form label, + h3, + p { + font-size: 0.8rem; + } + + @include breakpoint('<=medium') { + display: block; + + > section { + border-top: solid 2px _palette(alt, border); + + &:first-child { + border-top: 0; + } + + &.split { + > section { + @include padding((_size(padding) * 2), (_size(padding) * 2)); + + &:first-child { + @include padding((_size(padding) * 2), (_size(padding) * 2)); + } + + &:last-child { + @include padding((_size(padding) * 2), (_size(padding) * 2)); + } + } + + &.contact { + > section { + padding: (_size(padding) * 2); + + &:first-child { + padding: (_size(padding) * 2); + } + + &:last-child { + padding: (_size(padding) * 2); + } + } + } + } + } + + form label, + h3, + p { + font-size: 0.9rem; + } + } + + @include breakpoint('<=small') { + > section { + @include padding((_size(padding) * 1), (_size(padding) * 1)); + + &.split { + > section { + @include padding((_size(padding) * 1), (_size(padding) * 1)); + + &:first-child { + @include padding((_size(padding) * 1), (_size(padding) * 1)); + } + + &:last-child { + @include padding((_size(padding) * 1), (_size(padding) * 1)); + } + } + + &.contact { + > section { + padding: (_size(padding) * 1); + + &:first-child { + padding: (_size(padding) * 1); + } + + &:last-child { + padding: (_size(padding) * 1); + } + } + } + } + } + } + + @include breakpoint('<=xsmall') { + width: 100%; + } + } + + #copyright { + @include color-typography(invert); + position: relative; + color: transparentize(_palette(invert, fg), 0.75); + cursor: default; + font-family: _font(family-heading); + font-size: 0.8rem; + font-weight: _font(weight-heading); + letter-spacing: 0.075em; + line-height: 1.5; + text-align: center; + text-transform: uppercase; + margin: (_size(padding) * 2) auto (_size(padding) * 4) auto; + width: calc(100% - #{_size(padding) * 2}); + max-width: _size(wrapper); + z-index: 2; + + a { + color: inherit; + border-bottom-color: inherit; + } + + ul { + list-style: none; + margin: 0; + padding-left: 0; + + li { + border-left: solid 2px; + display: inline-block; + line-height: 1; + margin-left: 1rem; + padding-left: 1rem; + + &:first-child { + border-left: 0; + margin-left: 0; + padding-left: 0; + } + } + } + + @include breakpoint('<=large') { + margin: (_size(padding) * 2) auto; + } + + @include breakpoint('<=xsmall') { + ul { + li { + border-left: 0; + margin: 1rem 0 0 0; + padding-left: 0; + display: block; + + &:first-child { + margin-top: 0; + } + } + } + } + } \ No newline at end of file diff --git a/assets/sass/layout/_header.scss b/assets/sass/layout/_header.scss new file mode 100644 index 0000000..d58c162 --- /dev/null +++ b/assets/sass/layout/_header.scss @@ -0,0 +1,63 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Header */ + + #header { + @include color-typography(invert); + @include vendor('align-items', 'center'); + @include vendor('display', 'flex'); + @include vendor('flex-direction', 'column'); + @include vendor('justify-content', 'flex-end'); + @include vendor('pointer-events', 'none'); + @include vendor('user-select', 'none'); + height: 20rem; + padding-bottom: (_size(padding) * 4); + position: relative; + text-align: center; + z-index: 2; + + .logo { + @include vendor('transition', ( + 'border-color #{_duration(transition)} ease-in-out', + 'color #{_duration(transition)} ease-in-out', + 'opacity 0.5s ease', + 'transform 0.5s ease', + 'visibility 0.5s' + )); + @include vendor('pointer-events', 'auto'); + border-style: solid; + border-color: _palette(invert, border); + border-width: 5px !important; + font-family: _font(family-heading); + font-size: 2.25rem; + font-weight: _font(weight-heading); + letter-spacing: 0.075em; + line-height: 1; + padding: 1rem 1.75rem; + text-transform: uppercase; + visibility: visible; + + &:hover { + border-color: _palette(invert, accent) !important; + color: _palette(invert, accent) !important; + } + } + + @include breakpoint('<=medium') { + height: 14rem; + padding-bottom: (_size(padding) * 2); + } + + @include breakpoint('<=small') { + padding-bottom: (_size(padding) * 1.5); + + .logo { + font-size: 1.75rem; + border-width: 3px !important; + } + } + } \ No newline at end of file diff --git a/assets/sass/layout/_intro.scss b/assets/sass/layout/_intro.scss new file mode 100644 index 0000000..3b2c6d2 --- /dev/null +++ b/assets/sass/layout/_intro.scss @@ -0,0 +1,115 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Intro */ + + #intro { + @include color-typography(invert); + @include color-button(invert); + @include padding(_size(padding) * 4, _size(padding) * 2); + @include vendor('align-items', 'center'); + @include vendor('display', 'flex'); + @include vendor('flex-direction', 'column'); + @include vendor('justify-content', 'flex-end'); + @include vendor('transition', ( + 'opacity 1s ease', + 'transform 1s ease' + )); + position: relative; + cursor: default; + text-align: center; + z-index: 1; + min-height: 100vh; + + h1 { + font-size: 5rem; + line-height: 1; + } + + p { + font-size: 1.25rem; + font-style: italic; + margin-top: -0.25rem; + text-align: center; + } + + & + #header { + margin-top: -20rem; + + .logo { + @include vendor('transform', 'translateY(2rem)'); + opacity: 0; + visibility: hidden; + } + } + + &.hidden { + @include vendor('pointer-events', 'none'); + @include vendor('transform', 'translateY(2rem)'); + @include vendor('transition', ( + 'opacity 0.5s ease', + 'transform 0.5s ease', + 'visibility 0.5s' + )); + opacity: 0; + visibility: hidden; + + & + #header { + .logo { + @include vendor('transform', 'translateY(0)'); + opacity: 1; + visibility: visible; + } + } + } + + body.is-preload & { + @include vendor('transform', 'translateY(2rem)'); + opacity: 0; + + &:not(.hidden) { + & + #header + #nav { + @include vendor('transform', 'translateY(4rem)'); + opacity: 0; + } + } + } + + @include breakpoint('<=medium') { + @include padding(_size(padding) * 2, _size(padding) * 2); + min-height: 90vh; + + p { + br { + display: none; + } + } + + & + #header { + margin-top: -14rem; + } + } + + @include breakpoint('<=small') { + @include padding(_size(padding) * 1.5, _size(padding) * 1); + min-height: 80vh; + + h1 { + font-size: 3.25rem; + line-height: 1.1; + margin-bottom: _size(element-margin) * 0.5; + } + + p { + font-size: 1rem; + margin-top: 0rem; + } + + .actions { + display: none; + } + } + } \ No newline at end of file diff --git a/assets/sass/layout/_main.scss b/assets/sass/layout/_main.scss new file mode 100644 index 0000000..f15a087 --- /dev/null +++ b/assets/sass/layout/_main.scss @@ -0,0 +1,158 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Main */ + + #main { + background-color: _palette(bg); + position: relative; + margin: 0 auto; + width: calc(100% - #{_size(padding) * 2}); + max-width: _size(wrapper); + z-index: 2; + + > * { + @include padding((_size(padding) * 2), (_size(padding) * 2)); + border-top: solid 2px _palette(border); + margin: 0; + + &:first-child { + border-top: 0; + } + } + + > footer { + text-align: center; + } + + > .post { + @include padding((_size(padding) * 4), (_size(padding) * 4)); + + header { + &.major { + > .date { + margin-top: -2rem; + } + + > h1, h2 { + font-size: 4rem; + line-height: 1.1; + margin: 0 0 _size(element-margin) 0; + } + } + } + + &.featured { + text-align: center; + } + + @include breakpoint('<=large') { + @include padding((_size(padding) * 3), (_size(padding) * 2)); + } + + @include breakpoint('<=small') { + @include padding((_size(padding) * 2), (_size(padding) * 1)); + + header { + &.major { + > .date { + margin-top: -1rem; + margin-bottom: _size(element-margin); + } + + > h1, h2 { + font-size: 2.5rem; + line-height: 1.2; + margin: 0 0 (_size(element-margin) * 0.75) 0; + } + } + } + } + } + + > .posts { + @include fixed-grid(( + columns: 2, + gutters: (_size(padding) * 4), + horizontal-align: center, + vertical-align: flex-start, + flush: false + )); + width: 100%; + padding: 0; + + > article { + border-color: _palette(border); + border-left-width: 2px; + border-style: solid; + border-top-width: 2px; + text-align: center; + + > :last-child { + margin-bottom: 0; + } + + &:nth-child(2n - 1) { + border-left-width: 0; + } + + &:nth-child(-n + 2) { + border-top-width: 0; + } + } + + @include breakpoint('<=medium') { + @include fixed-grid-resize(( + columns: 2, + gutters: (_size(padding) * 2.5), + flush: false + )); + } + + @include breakpoint('<=small') { + @include fixed-grid-resize(( + columns: 1, + gutters: (_size(padding) * 2), + prev-columns: 2, + flush: false + )); + + > article { + &:nth-child(2n - 1) { + border-left-width: 2px; + } + + &:nth-child(-n + 2) { + border-top-width: 2px; + } + + &:nth-child(n) { + border-left-width: 0; + } + + &:nth-child(-n + 1) { + border-top-width: 0; + } + + .image { + max-width: 25rem; + margin-left: auto; + margin-right: auto; + } + } + } + } + + @include breakpoint('<=small') { + > * { + @include padding((_size(padding) * 1), (_size(padding) * 1)); + } + } + + @include breakpoint('<=xsmall') { + width: 100%; + } + } \ No newline at end of file diff --git a/assets/sass/layout/_nav.scss b/assets/sass/layout/_nav.scss new file mode 100644 index 0000000..cf84a7d --- /dev/null +++ b/assets/sass/layout/_nav.scss @@ -0,0 +1,85 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Nav */ + + #nav { + @include color-list(invert); + @include color-typography(invert); + @include vendor('display', 'flex'); + @include vendor('transition', ( + 'transform 1s ease', + 'opacity 1s ease' + )); + background: rgba(255,255,255,0.175); + height: 4rem; + line-height: 4rem; + margin: -4rem auto 0 auto; + overflow: hidden; + padding: 0 2rem 0 0; + position: relative; + width: calc(100% - #{_size(padding) * 2}); + max-width: _size(wrapper); + z-index: 2; + + ul { + &.links { + @include vendor('display', 'flex'); + @include vendor('flex-grow', '1'); + @include vendor('flex-shrink', '1'); + font-family: _font(family-heading); + font-weight: _font(weight-heading); + letter-spacing: 0.075em; + list-style: none; + margin-bottom: 0; + padding-left: 0; + text-transform: uppercase; + + li { + display: block; + padding-left: 0; + + a { + @include vendor('transition', ( + 'background-color #{_duration(transition)} ease-in-out', + 'color #{_duration(transition)} ease-in-out' + )); + display: block; + font-size: 0.8rem; + outline: none; + padding: 0 2rem; + + &:hover { + color: inherit !important; + background-color: transparentize(_palette(invert, fg), 0.9); + } + } + + &.active { + background-color: _palette(invert, fg); + + a { + color: _palette(invert, bg); + + &:hover { + color: _palette(invert, accent) !important; + } + } + } + } + } + + &.icons { + @include vendor('flex-grow', '0'); + @include vendor('flex-shrink', '0'); + margin-bottom: 0; + } + } + + @include breakpoint('<=medium') { + display: none; + } + } \ No newline at end of file diff --git a/assets/sass/layout/_navPanel.scss b/assets/sass/layout/_navPanel.scss new file mode 100644 index 0000000..d476ae2 --- /dev/null +++ b/assets/sass/layout/_navPanel.scss @@ -0,0 +1,153 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Nav Panel */ + + #navPanelToggle { + @include icon(false, solid); + @include vendor('transition', ( + 'color #{_duration(transition)} ease-in-out', + 'background-color #{_duration(transition)} ease-in-out', + 'box-shadow #{_duration(transition)} ease-in-out' + )); + display: none; + position: fixed; + top: 0.75rem; + right: 0.75rem; + border: 0; + color: _palette(invert, fg-bold); + font-family: _font(family-heading); + font-size: 0.9rem; + font-weight: _font(weight-heading); + letter-spacing: 0.075em; + padding: 0.375rem 1.25rem; + text-transform: uppercase; + z-index: _misc(z-index-base) + 1; + + &:before { + content: '\f0c9'; + margin-right: 0.5rem; + } + + &.alt { + background-color: transparentize(_palette(bg), 0.125); + box-shadow: 0 0.125rem 0.75rem 0 transparentize(_palette(invert, bg), 0.75); + color: _palette(fg-bold); + + &:hover { + background-color: _palette(bg); + } + } + + @include breakpoint('<=medium') { + display: block; + } + + @include breakpoint('<=small') { + font-size: 0.8rem; + padding: 0.25rem 1rem; + } + } + + #navPanel { + @include vendor('transform', 'translateX(20rem)'); + @include vendor('transition', ('transform #{_duration(menu)} ease', 'box-shadow #{_duration(menu)} ease', 'visibility #{_duration(menu)}')); + display: none; + -webkit-overflow-scrolling: touch; + background: _palette(bg); + box-shadow: none; + color: _palette(fg-bold); + height: 100%; + max-width: 80%; + overflow-y: auto; + padding: 3rem 2rem; + position: fixed; + right: 0; + top: 0; + visibility: hidden; + width: 20rem; + z-index: _misc(z-index-base) + 2; + + .links { + list-style: none; + padding-left: 0; + + li { + border-top: solid 2px _palette(border); + + a { + border-bottom: 0; + display: block; + font-family: _font(family-heading); + font-size: 0.9rem; + font-size: 0.9rem; + font-weight: _font(weight-heading); + letter-spacing: 0.075em; + padding: 0.75rem 0; + text-transform: uppercase; + } + + &:first-child { + border-top: 0; + } + } + } + + .close { + @include icon(false, solid); + @include vendor('transition', 'color #{_duration(transition)} ease-in-out'); + -webkit-tap-highlight-color: rgba(0,0,0,0); + border: 0; + color: _palette(fg-light); + cursor: pointer; + display: block; + height: 3.25rem; + line-height: 3.25rem; + padding-right: 1.25rem; + position: absolute; + right: 0; + text-align: right; + top: 0; + vertical-align: middle; + width: 7rem; + + &:before { + content: '\f00d'; + font-size: 1.25rem; + } + + &:hover { + color: _palette(fg-bold); + } + + @include breakpoint('<=small') { + height: 4rem; + line-height: 4rem; + } + } + + @include breakpoint('<=medium') { + display: block; + } + + @include breakpoint('<=small') { + padding: 2.5rem 1.75rem; + } + } + + @include breakpoint('<=medium') { + body.is-navPanel-visible { + #wrapper { + opacity: 0.5; + } + + #navPanel { + @include vendor('transform', 'translateX(0)'); + box-shadow: 0 0 1.5rem 0 rgba(0,0,0,0.2); + visibility: visible; + } + } + } \ No newline at end of file diff --git a/assets/sass/layout/_wrapper.scss b/assets/sass/layout/_wrapper.scss new file mode 100644 index 0000000..7b1bd55 --- /dev/null +++ b/assets/sass/layout/_wrapper.scss @@ -0,0 +1,64 @@ +/// +/// Massively by HTML5 UP +/// html5up.net | @ajlkn +/// Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +/// + +/* Wrapper */ + + #wrapper { + @include vendor('transition', 'opacity #{_duration(menu)} ease'); + position: relative; + z-index: 1; + overflow: hidden; + + > .bg { + position: absolute; + top: 0; + left: 0; + width: 100%; + height: 100%; + background-color: _palette(wrapper-bg); + background-image: url('../../images/overlay.png'), linear-gradient(0deg, rgba(0,0,0,0.1), rgba(0,0,0,0.1)), url('../../images/bg.jpg'); + background-size: auto, auto, 100% auto; + background-position: center, center, top center; + background-repeat: repeat, no-repeat, no-repeat; + background-attachment: scroll, scroll, scroll; + z-index: -1; + + &.fixed { + position: fixed; + width: 100vw; + height: 100vh; + } + } + + &.fade-in { + &:before { + @include vendor('pointer-events', 'none'); + @include vendor('transition', 'opacity 1s ease-in-out'); + @include vendor('transition-delay', '0.75s'); + background: _palette(invert, bg); + content: ''; + display: block; + height: 100%; + left: 0; + opacity: 0; + position: fixed; + top: 0; + width: 100%; + } + + body.is-preload & { + &:before { + opacity: 1; + } + } + } + + @include orientation(portrait) { + > .bg { + background-size: auto, auto, auto 175%; + } + } + } \ No newline at end of file diff --git a/assets/sass/libs/_breakpoints.scss b/assets/sass/libs/_breakpoints.scss new file mode 100644 index 0000000..c5301d8 --- /dev/null +++ b/assets/sass/libs/_breakpoints.scss @@ -0,0 +1,223 @@ +// breakpoints.scss v1.0 | @ajlkn | MIT licensed */ + +// Vars. + + /// Breakpoints. + /// @var {list} + $breakpoints: () !global; + +// Mixins. + + /// Sets breakpoints. + /// @param {map} $x Breakpoints. + @mixin breakpoints($x: ()) { + $breakpoints: $x !global; + } + + /// Wraps @content in a @media block targeting a specific orientation. + /// @param {string} $orientation Orientation. + @mixin orientation($orientation) { + @media screen and (orientation: #{$orientation}) { + @content; + } + } + + /// Wraps @content in a @media block using a given query. + /// @param {string} $query Query. + @mixin breakpoint($query: null) { + + $breakpoint: null; + $op: null; + $media: null; + + // Determine operator, breakpoint. + + // Greater than or equal. + @if (str-slice($query, 0, 2) == '>=') { + + $op: 'gte'; + $breakpoint: str-slice($query, 3); + + } + + // Less than or equal. + @elseif (str-slice($query, 0, 2) == '<=') { + + $op: 'lte'; + $breakpoint: str-slice($query, 3); + + } + + // Greater than. + @elseif (str-slice($query, 0, 1) == '>') { + + $op: 'gt'; + $breakpoint: str-slice($query, 2); + + } + + // Less than. + @elseif (str-slice($query, 0, 1) == '<') { + + $op: 'lt'; + $breakpoint: str-slice($query, 2); + + } + + // Not. + @elseif (str-slice($query, 0, 1) == '!') { + + $op: 'not'; + $breakpoint: str-slice($query, 2); + + } + + // Equal. + @else { + + $op: 'eq'; + $breakpoint: $query; + + } + + // Build media. + @if ($breakpoint and map-has-key($breakpoints, $breakpoint)) { + + $a: map-get($breakpoints, $breakpoint); + + // Range. + @if (type-of($a) == 'list') { + + $x: nth($a, 1); + $y: nth($a, 2); + + // Max only. + @if ($x == null) { + + // Greater than or equal (>= 0 / anything) + @if ($op == 'gte') { + $media: 'screen'; + } + + // Less than or equal (<= y) + @elseif ($op == 'lte') { + $media: 'screen and (max-width: ' + $y + ')'; + } + + // Greater than (> y) + @elseif ($op == 'gt') { + $media: 'screen and (min-width: ' + ($y + 1) + ')'; + } + + // Less than (< 0 / invalid) + @elseif ($op == 'lt') { + $media: 'screen and (max-width: -1px)'; + } + + // Not (> y) + @elseif ($op == 'not') { + $media: 'screen and (min-width: ' + ($y + 1) + ')'; + } + + // Equal (<= y) + @else { + $media: 'screen and (max-width: ' + $y + ')'; + } + + } + + // Min only. + @else if ($y == null) { + + // Greater than or equal (>= x) + @if ($op == 'gte') { + $media: 'screen and (min-width: ' + $x + ')'; + } + + // Less than or equal (<= inf / anything) + @elseif ($op == 'lte') { + $media: 'screen'; + } + + // Greater than (> inf / invalid) + @elseif ($op == 'gt') { + $media: 'screen and (max-width: -1px)'; + } + + // Less than (< x) + @elseif ($op == 'lt') { + $media: 'screen and (max-width: ' + ($x - 1) + ')'; + } + + // Not (< x) + @elseif ($op == 'not') { + $media: 'screen and (max-width: ' + ($x - 1) + ')'; + } + + // Equal (>= x) + @else { + $media: 'screen and (min-width: ' + $x + ')'; + } + + } + + // Min and max. + @else { + + // Greater than or equal (>= x) + @if ($op == 'gte') { + $media: 'screen and (min-width: ' + $x + ')'; + } + + // Less than or equal (<= y) + @elseif ($op == 'lte') { + $media: 'screen and (max-width: ' + $y + ')'; + } + + // Greater than (> y) + @elseif ($op == 'gt') { + $media: 'screen and (min-width: ' + ($y + 1) + ')'; + } + + // Less than (< x) + @elseif ($op == 'lt') { + $media: 'screen and (max-width: ' + ($x - 1) + ')'; + } + + // Not (< x and > y) + @elseif ($op == 'not') { + $media: 'screen and (max-width: ' + ($x - 1) + '), screen and (min-width: ' + ($y + 1) + ')'; + } + + // Equal (>= x and <= y) + @else { + $media: 'screen and (min-width: ' + $x + ') and (max-width: ' + $y + ')'; + } + + } + + } + + // String. + @else { + + // Missing a media type? Prefix with "screen". + @if (str-slice($a, 0, 1) == '(') { + $media: 'screen and ' + $a; + } + + // Otherwise, use as-is. + @else { + $media: $a; + } + + } + + } + + // Output. + @media #{$media} { + @content; + } + + } \ No newline at end of file diff --git a/assets/sass/libs/_fixed-grid.scss b/assets/sass/libs/_fixed-grid.scss new file mode 100644 index 0000000..99bfe36 --- /dev/null +++ b/assets/sass/libs/_fixed-grid.scss @@ -0,0 +1,338 @@ +// fixed-grid.scss v1.0 | @ajlkn | MIT licensed */ + +// Mixins. + + /// Initializes base fixed-grid classes. + /// @param {string} $vertical-align Vertical alignment of cells. + /// @param {string} $horizontal-align Horizontal alignment of cells. + @mixin fixed-grid-base($vertical-align: null, $horizontal-align: null) { + + // Grid. + @include vendor('display', 'flex'); + @include vendor('flex-wrap', 'wrap'); + + // Vertical alignment. + @if ($vertical-align == top) { + @include vendor('align-items', 'flex-start'); + } + @else if ($vertical-align == bottom) { + @include vendor('align-items', 'flex-end'); + } + @else if ($vertical-align == center) { + @include vendor('align-items', 'center'); + } + @else { + @include vendor('align-items', 'stretch'); + } + + // Horizontal alignment. + @if ($horizontal-align != null) { + text-align: $horizontal-align; + } + + // Cells. + > * { + @include vendor('flex-shrink', '1'); + @include vendor('flex-grow', '0'); + } + + } + + /// Sets up fixed-grid columns. + /// @param {integer} $columns Columns. + @mixin fixed-grid-columns($columns) { + + > * { + $cell-width: 100% / $columns; + width: #{$cell-width}; + } + + } + + /// Sets up fixed-grid gutters. + /// @param {integer} $columns Columns. + /// @param {number} $gutters Gutters. + @mixin fixed-grid-gutters($columns, $gutters) { + + // Apply padding. + > * { + $cell-width: 100% / $columns; + + padding: ($gutters * 0.5); + width: $cell-width; + } + + } + + /// Sets up fixed-grid gutters (flush). + /// @param {integer} $columns Columns. + /// @param {number} $gutters Gutters. + @mixin fixed-grid-gutters-flush($columns, $gutters) { + + // Apply padding. + > * { + $cell-width: 100% / $columns; + $cell-width-pad: $gutters / $columns; + + padding: ($gutters * 0.5); + width: calc(#{$cell-width} + #{$cell-width-pad}); + } + + // Clear top/bottom gutters. + > :nth-child(-n + #{$columns}) { + padding-top: 0; + } + + > :nth-last-child(-n + #{$columns}) { + padding-bottom: 0; + } + + // Clear left/right gutters. + > :nth-child(#{$columns}n + 1) { + padding-left: 0; + } + + > :nth-child(#{$columns}n) { + padding-right: 0; + } + + // Adjust widths of leftmost and rightmost cells. + > :nth-child(#{$columns}n + 1), + > :nth-child(#{$columns}n) { + $cell-width: 100% / $columns; + $cell-width-pad: ($gutters / $columns) - ($gutters / 2); + + width: calc(#{$cell-width} + #{$cell-width-pad}); + } + + } + + /// Reset fixed-grid gutters (flush only). + /// Used to override a previous set of fixed-grid gutter classes. + /// @param {integer} $columns Columns. + /// @param {number} $gutters Gutters. + /// @param {integer} $prev-columns Previous columns. + @mixin fixed-grid-gutters-flush-reset($columns, $gutters, $prev-columns) { + + // Apply padding. + > * { + $cell-width: 100% / $prev-columns; + $cell-width-pad: $gutters / $prev-columns; + + padding: ($gutters * 0.5); + width: calc(#{$cell-width} + #{$cell-width-pad}); + } + + // Clear top/bottom gutters. + > :nth-child(-n + #{$prev-columns}) { + padding-top: ($gutters * 0.5); + } + + > :nth-last-child(-n + #{$prev-columns}) { + padding-bottom: ($gutters * 0.5); + } + + // Clear left/right gutters. + > :nth-child(#{$prev-columns}n + 1) { + padding-left: ($gutters * 0.5); + } + + > :nth-child(#{$prev-columns}n) { + padding-right: ($gutters * 0.5); + } + + // Adjust widths of leftmost and rightmost cells. + > :nth-child(#{$prev-columns}n + 1), + > :nth-child(#{$prev-columns}n) { + $cell-width: 100% / $columns; + $cell-width-pad: $gutters / $columns; + + padding: ($gutters * 0.5); + width: calc(#{$cell-width} + #{$cell-width-pad}); + } + + } + + /// Adds debug styles to current fixed-grid element. + @mixin fixed-grid-debug() { + + box-shadow: 0 0 0 1px red; + + > * { + box-shadow: inset 0 0 0 1px blue; + position: relative; + + > * { + position: relative; + box-shadow: inset 0 0 0 1px green; + } + } + + } + + /// Initializes the current element as a fixed grid. + /// @param {integer} $columns Columns (optional). + /// @param {number} $gutters Gutters (optional). + /// @param {bool} $flush If true, clears padding around the very edge of the grid. + @mixin fixed-grid($settings: ()) { + + // Settings. + + // Debug. + $debug: false; + + @if (map-has-key($settings, 'debug')) { + $debug: map-get($settings, 'debug'); + } + + // Vertical align. + $vertical-align: null; + + @if (map-has-key($settings, 'vertical-align')) { + $vertical-align: map-get($settings, 'vertical-align'); + } + + // Horizontal align. + $horizontal-align: null; + + @if (map-has-key($settings, 'horizontal-align')) { + $horizontal-align: map-get($settings, 'horizontal-align'); + } + + // Columns. + $columns: null; + + @if (map-has-key($settings, 'columns')) { + $columns: map-get($settings, 'columns'); + } + + // Gutters. + $gutters: 0; + + @if (map-has-key($settings, 'gutters')) { + $gutters: map-get($settings, 'gutters'); + } + + // Flush. + $flush: true; + + @if (map-has-key($settings, 'flush')) { + $flush: map-get($settings, 'flush'); + } + + // Initialize base grid. + @include fixed-grid-base($vertical-align, $horizontal-align); + + // Debug? + @if ($debug) { + @include fixed-grid-debug; + } + + // Columns specified? + @if ($columns != null) { + + // Initialize columns. + @include fixed-grid-columns($columns); + + // Gutters specified? + @if ($gutters > 0) { + + // Flush gutters? + @if ($flush) { + + // Initialize gutters (flush). + @include fixed-grid-gutters-flush($columns, $gutters); + + } + + // Otherwise ... + @else { + + // Initialize gutters. + @include fixed-grid-gutters($columns, $gutters); + + } + + } + + } + + } + + /// Resizes a previously-initialized grid. + /// @param {integer} $columns Columns. + /// @param {number} $gutters Gutters (optional). + /// @param {list} $reset A list of previously-initialized grid columns (only if $flush is true). + /// @param {bool} $flush If true, clears padding around the very edge of the grid. + @mixin fixed-grid-resize($settings: ()) { + + // Settings. + + // Columns. + $columns: 1; + + @if (map-has-key($settings, 'columns')) { + $columns: map-get($settings, 'columns'); + } + + // Gutters. + $gutters: 0; + + @if (map-has-key($settings, 'gutters')) { + $gutters: map-get($settings, 'gutters'); + } + + // Previous columns. + $prev-columns: false; + + @if (map-has-key($settings, 'prev-columns')) { + $prev-columns: map-get($settings, 'prev-columns'); + } + + // Flush. + $flush: true; + + @if (map-has-key($settings, 'flush')) { + $flush: map-get($settings, 'flush'); + } + + // Resize columns. + @include fixed-grid-columns($columns); + + // Gutters specified? + @if ($gutters > 0) { + + // Flush gutters? + @if ($flush) { + + // Previous columns specified? + @if ($prev-columns) { + + // Convert to list if it isn't one already. + @if (type-of($prev-columns) != list) { + $prev-columns: ($prev-columns); + } + + // Step through list of previous columns and reset them. + @each $x in $prev-columns { + @include fixed-grid-gutters-flush-reset($columns, $gutters, $x); + } + + } + + // Resize gutters (flush). + @include fixed-grid-gutters-flush($columns, $gutters); + + } + + // Otherwise ... + @else { + + // Resize gutters. + @include fixed-grid-gutters($columns, $gutters); + + } + + } + + } \ No newline at end of file diff --git a/assets/sass/libs/_functions.scss b/assets/sass/libs/_functions.scss new file mode 100644 index 0000000..f563aab --- /dev/null +++ b/assets/sass/libs/_functions.scss @@ -0,0 +1,90 @@ +/// Removes a specific item from a list. +/// @author Hugo Giraudel +/// @param {list} $list List. +/// @param {integer} $index Index. +/// @return {list} Updated list. +@function remove-nth($list, $index) { + + $result: null; + + @if type-of($index) != number { + @warn "$index: #{quote($index)} is not a number for `remove-nth`."; + } + @else if $index == 0 { + @warn "List index 0 must be a non-zero integer for `remove-nth`."; + } + @else if abs($index) > length($list) { + @warn "List index is #{$index} but list is only #{length($list)} item long for `remove-nth`."; + } + @else { + + $result: (); + $index: if($index < 0, length($list) + $index + 1, $index); + + @for $i from 1 through length($list) { + + @if $i != $index { + $result: append($result, nth($list, $i)); + } + + } + + } + + @return $result; + +} + +/// Gets a value from a map. +/// @author Hugo Giraudel +/// @param {map} $map Map. +/// @param {string} $keys Key(s). +/// @return {string} Value. +@function val($map, $keys...) { + + @if nth($keys, 1) == null { + $keys: remove-nth($keys, 1); + } + + @each $key in $keys { + $map: map-get($map, $key); + } + + @return $map; + +} + +/// Gets a duration value. +/// @param {string} $keys Key(s). +/// @return {string} Value. +@function _duration($keys...) { + @return val($duration, $keys...); +} + +/// Gets a font value. +/// @param {string} $keys Key(s). +/// @return {string} Value. +@function _font($keys...) { + @return val($font, $keys...); +} + +/// Gets a misc value. +/// @param {string} $keys Key(s). +/// @return {string} Value. +@function _misc($keys...) { + @return val($misc, $keys...); +} + +/// Gets a palette value. +/// @param {string} $keys Key(s). +/// @return {string} Value. +@function _palette($keys...) { + @return val($palette, $keys...); +} + +/// Gets a size value. +/// @param {string} $keys Key(s). +/// @return {string} Value. +@function _size($keys...) { + @return val($size, $keys...); +} \ No newline at end of file diff --git a/assets/sass/libs/_html-grid.scss b/assets/sass/libs/_html-grid.scss new file mode 100644 index 0000000..7438a8c --- /dev/null +++ b/assets/sass/libs/_html-grid.scss @@ -0,0 +1,149 @@ +// html-grid.scss v1.0 | @ajlkn | MIT licensed */ + +// Mixins. + + /// Initializes the current element as an HTML grid. + /// @param {mixed} $gutters Gutters (either a single number to set both column/row gutters, or a list to set them individually). + /// @param {mixed} $suffix Column class suffix (optional; either a single suffix or a list). + @mixin html-grid($gutters: 1.5em, $suffix: '') { + + // Initialize. + $cols: 12; + $multipliers: 0, 0.25, 0.5, 1, 1.50, 2.00; + $unit: 100% / $cols; + + // Suffixes. + $suffixes: null; + + @if (type-of($suffix) == 'list') { + $suffixes: $suffix; + } + @else { + $suffixes: ($suffix); + } + + // Gutters. + $guttersCols: null; + $guttersRows: null; + + @if (type-of($gutters) == 'list') { + + $guttersCols: nth($gutters, 1); + $guttersRows: nth($gutters, 2); + + } + @else { + + $guttersCols: $gutters; + $guttersRows: 0; + + } + + // Row. + display: flex; + flex-wrap: wrap; + box-sizing: border-box; + align-items: stretch; + + // Columns. + > * { + box-sizing: border-box; + } + + // Gutters. + &.gtr-uniform { + > * { + > :last-child { + margin-bottom: 0; + } + } + } + + // Alignment. + &.aln-left { + justify-content: flex-start; + } + + &.aln-center { + justify-content: center; + } + + &.aln-right { + justify-content: flex-end; + } + + &.aln-top { + align-items: flex-start; + } + + &.aln-middle { + align-items: center; + } + + &.aln-bottom { + align-items: flex-end; + } + + // Step through suffixes. + @each $suffix in $suffixes { + + // Suffix. + @if ($suffix != '') { + $suffix: '-' + $suffix; + } + @else { + $suffix: ''; + } + + // Row. + + // Important. + > .imp#{$suffix} { + order: -1; + } + + // Columns, offsets. + @for $i from 1 through $cols { + > .col-#{$i}#{$suffix} { + width: $unit * $i; + } + + > .off-#{$i}#{$suffix} { + margin-left: $unit * $i; + } + } + + // Step through multipliers. + @each $multiplier in $multipliers { + + // Gutters. + $class: null; + + @if ($multiplier != 1) { + $class: '.gtr-' + ($multiplier * 100); + } + + &#{$class} { + margin-top: ($guttersRows * $multiplier * -1); + margin-left: ($guttersCols * $multiplier * -1); + + > * { + padding: ($guttersRows * $multiplier) 0 0 ($guttersCols * $multiplier); + } + + // Uniform. + &.gtr-uniform { + margin-top: $guttersCols * $multiplier * -1; + + > * { + padding-top: $guttersCols * $multiplier; + } + } + + } + + } + + } + + } \ No newline at end of file diff --git a/assets/sass/libs/_mixins.scss b/assets/sass/libs/_mixins.scss new file mode 100644 index 0000000..a331483 --- /dev/null +++ b/assets/sass/libs/_mixins.scss @@ -0,0 +1,78 @@ +/// Makes an element's :before pseudoelement a FontAwesome icon. +/// @param {string} $content Optional content value to use. +/// @param {string} $category Optional category to use. +/// @param {string} $where Optional pseudoelement to target (before or after). +@mixin icon($content: false, $category: regular, $where: before) { + + text-decoration: none; + + &:#{$where} { + + @if $content { + content: $content; + } + + -moz-osx-font-smoothing: grayscale; + -webkit-font-smoothing: antialiased; + display: inline-block; + font-style: normal; + font-variant: normal; + text-rendering: auto; + line-height: 1; + text-transform: none !important; + + @if ($category == brands) { + font-family: 'Font Awesome 5 Brands'; + } + @elseif ($category == solid) { + font-family: 'Font Awesome 5 Free'; + font-weight: 900; + } + @else { + font-family: 'Font Awesome 5 Free'; + font-weight: 400; + } + + } + +} + +/// Applies padding to an element, taking the current element-margin value into account. +/// @param {mixed} $tb Top/bottom padding. +/// @param {mixed} $lr Left/right padding. +/// @param {list} $pad Optional extra padding (in the following order top, right, bottom, left) +/// @param {bool} $important If true, adds !important. +@mixin padding($tb, $lr, $pad: (0,0,0,0), $important: null) { + + @if $important { + $important: '!important'; + } + + $x: 0.1em; + + @if unit(_size(element-margin)) == 'rem' { + $x: 0.1rem; + } + + padding: ($tb + nth($pad,1)) ($lr + nth($pad,2)) max($x, $tb - _size(element-margin) + nth($pad,3)) ($lr + nth($pad,4)) #{$important}; + +} + +/// Encodes a SVG data URL so IE doesn't choke (via codepen.io/jakob-e/pen/YXXBrp). +/// @param {string} $svg SVG data URL. +/// @return {string} Encoded SVG data URL. +@function svg-url($svg) { + + $svg: str-replace($svg, '"', '\''); + $svg: str-replace($svg, '%', '%25'); + $svg: str-replace($svg, '<', '%3C'); + $svg: str-replace($svg, '>', '%3E'); + $svg: str-replace($svg, '&', '%26'); + $svg: str-replace($svg, '#', '%23'); + $svg: str-replace($svg, '{', '%7B'); + $svg: str-replace($svg, '}', '%7D'); + $svg: str-replace($svg, ';', '%3B'); + + @return url("data:image/svg+xml;charset=utf8,#{$svg}"); + +} \ No newline at end of file diff --git a/assets/sass/libs/_vars.scss b/assets/sass/libs/_vars.scss new file mode 100644 index 0000000..9347e2c --- /dev/null +++ b/assets/sass/libs/_vars.scss @@ -0,0 +1,62 @@ +// Misc. + $misc: ( + z-index-base: 10000 + ); + +// Duration. + $duration: ( + menu: 0.5s, + transition: 0.2s + ); + +// Size. + $size: ( + element-height: 3rem, + element-margin: 2rem, + padding: 2rem, + wrapper: 72rem + ); + +// Font. + $font: ( + family: ('Merriweather', Georgia, serif), + family-heading: ('Source Sans Pro', Helvetica, sans-serif), + family-fixed: ('Courier New', monospace), + weight: 300, + weight-bold: 600, + weight-heading: 900 + ); + +// Palette. + $palette: ( + wrapper-bg: #212931, + + bg: #ffffff, + fg: #212931, + fg-bold: #212931, + fg-light: mix(#212931, #ffffff, 50%), + border: mix(#dcdcdc, #ffffff, 50%), + border-bg: rgba(#dcdcdc, 0.25), + accent: #18bfef, + + alt: ( + bg: #f5f5f5, + fg: #717981, + fg-bold: #717981, + fg-light: mix(#717981, #f5f5f5, 50%), + border: mix(#dcdcdc, #f5f5f5, 75%), + border-bg: rgba(#dcdcdc, 0.5), + accent: #18bfef, + ), + + invert: ( + bg: #1e252d, + bg-alt: #1e252d, + fg: #ffffff, + fg-bold: #ffffff, + fg-light: rgba(#ffffff, 0.5), + border: #ffffff, + border-bg: rgba(#ffffff,0.075), + accent: #18bfef, + ), + ); \ No newline at end of file diff --git a/assets/sass/libs/_vendor.scss b/assets/sass/libs/_vendor.scss new file mode 100644 index 0000000..6599a3f --- /dev/null +++ b/assets/sass/libs/_vendor.scss @@ -0,0 +1,376 @@ +// vendor.scss v1.0 | @ajlkn | MIT licensed */ + +// Vars. + + /// Vendor prefixes. + /// @var {list} + $vendor-prefixes: ( + '-moz-', + '-webkit-', + '-ms-', + '' + ); + + /// Properties that should be vendorized. + /// Data via caniuse.com, github.com/postcss/autoprefixer, and developer.mozilla.org + /// @var {list} + $vendor-properties: ( + + // Animation. + 'animation', + 'animation-delay', + 'animation-direction', + 'animation-duration', + 'animation-fill-mode', + 'animation-iteration-count', + 'animation-name', + 'animation-play-state', + 'animation-timing-function', + + // Appearance. + 'appearance', + + // Backdrop filter. + 'backdrop-filter', + + // Background image options. + 'background-clip', + 'background-origin', + 'background-size', + + // Box sizing. + 'box-sizing', + + // Clip path. + 'clip-path', + + // Filter effects. + 'filter', + + // Flexbox. + 'align-content', + 'align-items', + 'align-self', + 'flex', + 'flex-basis', + 'flex-direction', + 'flex-flow', + 'flex-grow', + 'flex-shrink', + 'flex-wrap', + 'justify-content', + 'order', + + // Font feature. + 'font-feature-settings', + 'font-language-override', + 'font-variant-ligatures', + + // Font kerning. + 'font-kerning', + + // Fragmented borders and backgrounds. + 'box-decoration-break', + + // Grid layout. + 'grid-column', + 'grid-column-align', + 'grid-column-end', + 'grid-column-start', + 'grid-row', + 'grid-row-align', + 'grid-row-end', + 'grid-row-start', + 'grid-template-columns', + 'grid-template-rows', + + // Hyphens. + 'hyphens', + 'word-break', + + // Masks. + 'mask', + 'mask-border', + 'mask-border-outset', + 'mask-border-repeat', + 'mask-border-slice', + 'mask-border-source', + 'mask-border-width', + 'mask-clip', + 'mask-composite', + 'mask-image', + 'mask-origin', + 'mask-position', + 'mask-repeat', + 'mask-size', + + // Multicolumn. + 'break-after', + 'break-before', + 'break-inside', + 'column-count', + 'column-fill', + 'column-gap', + 'column-rule', + 'column-rule-color', + 'column-rule-style', + 'column-rule-width', + 'column-span', + 'column-width', + 'columns', + + // Object fit. + 'object-fit', + 'object-position', + + // Regions. + 'flow-from', + 'flow-into', + 'region-fragment', + + // Scroll snap points. + 'scroll-snap-coordinate', + 'scroll-snap-destination', + 'scroll-snap-points-x', + 'scroll-snap-points-y', + 'scroll-snap-type', + + // Shapes. + 'shape-image-threshold', + 'shape-margin', + 'shape-outside', + + // Tab size. + 'tab-size', + + // Text align last. + 'text-align-last', + + // Text decoration. + 'text-decoration-color', + 'text-decoration-line', + 'text-decoration-skip', + 'text-decoration-style', + + // Text emphasis. + 'text-emphasis', + 'text-emphasis-color', + 'text-emphasis-position', + 'text-emphasis-style', + + // Text size adjust. + 'text-size-adjust', + + // Text spacing. + 'text-spacing', + + // Transform. + 'transform', + 'transform-origin', + + // Transform 3D. + 'backface-visibility', + 'perspective', + 'perspective-origin', + 'transform-style', + + // Transition. + 'transition', + 'transition-delay', + 'transition-duration', + 'transition-property', + 'transition-timing-function', + + // Unicode bidi. + 'unicode-bidi', + + // User select. + 'user-select', + + // Writing mode. + 'writing-mode', + + ); + + /// Values that should be vendorized. + /// Data via caniuse.com, github.com/postcss/autoprefixer, and developer.mozilla.org + /// @var {list} + $vendor-values: ( + + // Cross fade. + 'cross-fade', + + // Element function. + 'element', + + // Filter function. + 'filter', + + // Flexbox. + 'flex', + 'inline-flex', + + // Grab cursors. + 'grab', + 'grabbing', + + // Gradients. + 'linear-gradient', + 'repeating-linear-gradient', + 'radial-gradient', + 'repeating-radial-gradient', + + // Grid layout. + 'grid', + 'inline-grid', + + // Image set. + 'image-set', + + // Intrinsic width. + 'max-content', + 'min-content', + 'fit-content', + 'fill', + 'fill-available', + 'stretch', + + // Sticky position. + 'sticky', + + // Transform. + 'transform', + + // Zoom cursors. + 'zoom-in', + 'zoom-out', + + ); + +// Functions. + + /// Removes a specific item from a list. + /// @author Hugo Giraudel + /// @param {list} $list List. + /// @param {integer} $index Index. + /// @return {list} Updated list. + @function remove-nth($list, $index) { + + $result: null; + + @if type-of($index) != number { + @warn "$index: #{quote($index)} is not a number for `remove-nth`."; + } + @else if $index == 0 { + @warn "List index 0 must be a non-zero integer for `remove-nth`."; + } + @else if abs($index) > length($list) { + @warn "List index is #{$index} but list is only #{length($list)} item long for `remove-nth`."; + } + @else { + + $result: (); + $index: if($index < 0, length($list) + $index + 1, $index); + + @for $i from 1 through length($list) { + + @if $i != $index { + $result: append($result, nth($list, $i)); + } + + } + + } + + @return $result; + + } + + /// Replaces a substring within another string. + /// @author Hugo Giraudel + /// @param {string} $string String. + /// @param {string} $search Substring. + /// @param {string} $replace Replacement. + /// @return {string} Updated string. + @function str-replace($string, $search, $replace: '') { + + $index: str-index($string, $search); + + @if $index { + @return str-slice($string, 1, $index - 1) + $replace + str-replace(str-slice($string, $index + str-length($search)), $search, $replace); + } + + @return $string; + + } + + /// Replaces a substring within each string in a list. + /// @param {list} $strings List of strings. + /// @param {string} $search Substring. + /// @param {string} $replace Replacement. + /// @return {list} Updated list of strings. + @function str-replace-all($strings, $search, $replace: '') { + + @each $string in $strings { + $strings: set-nth($strings, index($strings, $string), str-replace($string, $search, $replace)); + } + + @return $strings; + + } + +// Mixins. + + /// Wraps @content in vendorized keyframe blocks. + /// @param {string} $name Name. + @mixin keyframes($name) { + + @-moz-keyframes #{$name} { @content; } + @-webkit-keyframes #{$name} { @content; } + @-ms-keyframes #{$name} { @content; } + @keyframes #{$name} { @content; } + + } + + /// Vendorizes a declaration's property and/or value(s). + /// @param {string} $property Property. + /// @param {mixed} $value String/list of value(s). + @mixin vendor($property, $value) { + + // Determine if property should expand. + $expandProperty: index($vendor-properties, $property); + + // Determine if value should expand (and if so, add '-prefix-' placeholder). + $expandValue: false; + + @each $x in $value { + @each $y in $vendor-values { + @if $y == str-slice($x, 1, str-length($y)) { + + $value: set-nth($value, index($value, $x), '-prefix-' + $x); + $expandValue: true; + + } + } + } + + // Expand property? + @if $expandProperty { + @each $vendor in $vendor-prefixes { + #{$vendor}#{$property}: #{str-replace-all($value, '-prefix-', $vendor)}; + } + } + + // Expand just the value? + @elseif $expandValue { + @each $vendor in $vendor-prefixes { + #{$property}: #{str-replace-all($value, '-prefix-', $vendor)}; + } + } + + // Neither? Treat them as a normal declaration. + @else { + #{$property}: #{$value}; + } + + } \ No newline at end of file diff --git a/assets/sass/main.scss b/assets/sass/main.scss new file mode 100644 index 0000000..58e1096 --- /dev/null +++ b/assets/sass/main.scss @@ -0,0 +1,71 @@ +@import 'libs/vars'; +@import 'libs/functions'; +@import 'libs/mixins'; +@import 'libs/vendor'; +@import 'libs/breakpoints'; +@import 'libs/html-grid'; +@import 'libs/fixed-grid'; +@import 'fontawesome-all.min.css'; +@import url('https://fonts.googleapis.com/css?family=Merriweather:300,700,300italic,700italic|Source+Sans+Pro:900'); + +/* + Massively by HTML5 UP + html5up.net | @ajlkn + Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +*/ + +// Breakpoints. + + @include breakpoints(( + default: (1681px, null ), + xlarge: (1281px, 1680px ), + large: (981px, 1280px ), + medium: (737px, 980px ), + small: (481px, 736px ), + xsmall: (361px, 480px ), + xxsmall: (null, 360px ) + )); + +// Mixins. + + @mixin color($p) { + @include color-typography($p); + @include color-box($p); + @include color-button($p); + @include color-form($p); + @include color-list($p); + @include color-section($p); + @include color-table($p); + @include color-pagination($p); + } + +// Base. + + @import 'base/reset'; + @import 'base/page'; + @import 'base/typography'; + +// Component. + + @import 'components/row'; + @import 'components/box'; + @import 'components/button'; + @import 'components/form'; + @import 'components/icon'; + @import 'components/image'; + @import 'components/actions'; + @import 'components/icons'; + @import 'components/list'; + @import 'components/section'; + @import 'components/table'; + @import 'components/pagination'; + +// Layout. + + @import 'layout/wrapper'; + @import 'layout/intro'; + @import 'layout/header'; + @import 'layout/nav'; + @import 'layout/main'; + @import 'layout/footer'; + @import 'layout/navPanel'; \ No newline at end of file diff --git a/assets/sass/noscript.scss b/assets/sass/noscript.scss new file mode 100644 index 0000000..90ce257 --- /dev/null +++ b/assets/sass/noscript.scss @@ -0,0 +1,46 @@ +@import 'libs/vars'; +@import 'libs/functions'; +@import 'libs/mixins'; +@import 'libs/vendor'; +@import 'libs/breakpoints'; +@import 'libs/html-grid'; +@import 'libs/fixed-grid'; +@import 'font-awesome.min.css'; + +/* + Massively by HTML5 UP + html5up.net | @ajlkn + Free for personal and commercial use under the CCA 3.0 license (html5up.net/license) +*/ + +/* Wrapper */ + + #wrapper { + background-color: _palette(wrapper-bg); + background-image: url('../../images/overlay.png'), linear-gradient(0deg, rgba(0,0,0,0.1), rgba(0,0,0,0.1)), url('../../images/bg.jpg'); + background-size: auto, auto, 100% auto; + background-position: center, center, top center; + background-repeat: repeat, no-repeat, no-repeat; + background-attachment: fixed, fixed, fixed; + + &.fade-in { + &:before { + display: none; + } + } + } + +/* Intro */ + + #intro { + body.is-preload & { + opacity: 1; + + &:not(.hidden) { + & + #header + #nav { + @include vendor('transform', 'none'); + opacity: 1; + } + } + } + } \ No newline at end of file diff --git a/assets/webfonts/fa-brands-400.eot b/assets/webfonts/fa-brands-400.eot new file mode 100644 index 0000000..e79f40f Binary files /dev/null and b/assets/webfonts/fa-brands-400.eot differ diff --git a/assets/webfonts/fa-brands-400.svg b/assets/webfonts/fa-brands-400.svg new file mode 100644 index 0000000..ba0d850 --- /dev/null +++ b/assets/webfonts/fa-brands-400.svg @@ -0,0 +1,3442 @@ + + + + + +Created by FontForge 20190112 at Tue Jun 4 15:16:44 2019 + By Robert Madole +Copyright (c) Font Awesome + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/assets/webfonts/fa-brands-400.ttf b/assets/webfonts/fa-brands-400.ttf new file mode 100644 index 0000000..217ffe9 Binary files /dev/null and b/assets/webfonts/fa-brands-400.ttf differ diff --git a/assets/webfonts/fa-brands-400.woff b/assets/webfonts/fa-brands-400.woff new file mode 100644 index 0000000..a2d8025 Binary files /dev/null and b/assets/webfonts/fa-brands-400.woff differ diff --git a/assets/webfonts/fa-brands-400.woff2 b/assets/webfonts/fa-brands-400.woff2 new file mode 100644 index 0000000..e27b0bf Binary files /dev/null and b/assets/webfonts/fa-brands-400.woff2 differ diff --git a/assets/webfonts/fa-regular-400.eot b/assets/webfonts/fa-regular-400.eot new file mode 100644 index 0000000..d62be2f Binary files /dev/null and b/assets/webfonts/fa-regular-400.eot differ diff --git a/assets/webfonts/fa-regular-400.svg b/assets/webfonts/fa-regular-400.svg new file mode 100644 index 0000000..751083e --- /dev/null +++ b/assets/webfonts/fa-regular-400.svg @@ -0,0 +1,803 @@ + + + + + +Created by FontForge 20190112 at Tue Jun 4 15:16:44 2019 + By Robert Madole +Copyright (c) Font Awesome + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/assets/webfonts/fa-regular-400.ttf b/assets/webfonts/fa-regular-400.ttf new file mode 100644 index 0000000..eb3cb5e Binary files /dev/null and b/assets/webfonts/fa-regular-400.ttf differ diff --git a/assets/webfonts/fa-regular-400.woff b/assets/webfonts/fa-regular-400.woff new file mode 100644 index 0000000..43b1a9a Binary files /dev/null and b/assets/webfonts/fa-regular-400.woff differ diff --git a/assets/webfonts/fa-regular-400.woff2 b/assets/webfonts/fa-regular-400.woff2 new file mode 100644 index 0000000..b9344a7 Binary files /dev/null and b/assets/webfonts/fa-regular-400.woff2 differ diff --git a/assets/webfonts/fa-solid-900.eot b/assets/webfonts/fa-solid-900.eot new file mode 100644 index 0000000..c77baa8 Binary files /dev/null and b/assets/webfonts/fa-solid-900.eot differ diff --git a/assets/webfonts/fa-solid-900.svg b/assets/webfonts/fa-solid-900.svg new file mode 100644 index 0000000..627128b --- /dev/null +++ b/assets/webfonts/fa-solid-900.svg @@ -0,0 +1,4649 @@ + + + + + +Created by FontForge 20190112 at Tue Jun 4 15:16:44 2019 + By Robert Madole +Copyright (c) Font Awesome + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + diff --git a/assets/webfonts/fa-solid-900.ttf b/assets/webfonts/fa-solid-900.ttf new file mode 100644 index 0000000..c6c3dd4 Binary files /dev/null and b/assets/webfonts/fa-solid-900.ttf differ diff --git a/assets/webfonts/fa-solid-900.woff b/assets/webfonts/fa-solid-900.woff new file mode 100644 index 0000000..77c1786 Binary files /dev/null and b/assets/webfonts/fa-solid-900.woff differ diff --git a/assets/webfonts/fa-solid-900.woff2 b/assets/webfonts/fa-solid-900.woff2 new file mode 100644 index 0000000..e30fb67 Binary files /dev/null and b/assets/webfonts/fa-solid-900.woff2 differ diff --git a/elements.html b/elements.html new file mode 100644 index 0000000..6c6b54c --- /dev/null +++ b/elements.html @@ -0,0 +1,498 @@ + + + + + Elements Reference - Massively by HTML5 UP + + + + + + + + +
+ + + + + + + + +
+ + +
+
+

Elements
+ Reference

+
+ + +

Text

+

This is bold and this is strong. This is italic and this is emphasized. + This is superscript text and this is subscript text. + This is underlined and this is code: for (;;) { ... }. + Finally, this is a link.

+
+

Heading Level 2

+

Heading Level 3

+

Heading Level 4

+
Heading Level 5
+
Heading Level 6
+
+
+

Heading with a Subtitle

+

Lorem ipsum dolor sit amet nullam id egestas urna aliquam

+
+

Nunc lacinia ante nunc ac lobortis. Interdum adipiscing gravida odio porttitor sem non mi integer non faucibus ornare mi ut ante amet placerat aliquet. Volutpat eu sed ante lacinia sapien lorem accumsan varius montes viverra nibh in adipiscing blandit tempus accumsan.

+
+

Heading with a Subtitle

+

Lorem ipsum dolor sit amet nullam id egestas urna aliquam

+
+

Nunc lacinia ante nunc ac lobortis. Interdum adipiscing gravida odio porttitor sem non mi integer non faucibus ornare mi ut ante amet placerat aliquet. Volutpat eu sed ante lacinia sapien lorem accumsan varius montes viverra nibh in adipiscing blandit tempus accumsan.

+
+

Heading with a Subtitle

+

Lorem ipsum dolor sit amet nullam id egestas urna aliquam

+
+

Nunc lacinia ante nunc ac lobortis. Interdum adipiscing gravida odio porttitor sem non mi integer non faucibus ornare mi ut ante amet placerat aliquet. Volutpat eu sed ante lacinia sapien lorem accumsan varius montes viverra nibh in adipiscing blandit tempus accumsan.

+ +
+ + +

Lists

+
+
+ +

Unordered

+
    +
  • Dolor pulvinar etiam.
  • +
  • Sagittis lorem eleifend.
  • +
  • Felis feugiat dolore viverra.
  • +
  • Dolor pulvinar etiam.
  • +
+ +

Alternate

+
    +
  • Dolor pulvinar etiam etiam.
  • +
  • Sagittis adipiscing eleifend.
  • +
  • Felis enim dolore viverra.
  • +
  • Dolor pulvinar etiam etiam.
  • +
+ +
+
+ +

Ordered

+
    +
  1. Dolor pulvinar etiam.
  2. +
  3. Etiam vel felis at viverra.
  4. +
  5. Felis enim feugiat magna.
  6. +
  7. Etiam vel felis nullam.
  8. +
  9. Felis enim et tempus.
  10. +
+ +

Icons

+ + + +
+
+

Definition

+
+
Item 1
+
+

Lorem ipsum dolor vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent.

+
+
Item 2
+
+

Lorem ipsum dolor vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent.

+
+
Item 3
+
+

Lorem ipsum dolor vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent.

+
+
+ +

Actions

+ + +
+
+ +
+
+ +
+
+
+
+ +
+
+ +
+
+ +
+ + +

Blockquote

+
Fringilla nisl. Donec accumsan interdum nisi, quis tincidunt felis sagittis eget tempus euismod. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan faucibus. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis.
+ +
+ + +

Table

+ +

Default

+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameDescriptionPrice
Item 1Ante turpis integer aliquet porttitor.29.99
Item 2Vis ac commodo adipiscing arcu aliquet.19.99
Item 3 Morbi faucibus arcu accumsan lorem.29.99
Item 4Vitae integer tempus condimentum.19.99
Item 5Ante turpis integer aliquet porttitor.29.99
100.00
+
+ +

Alternate

+
+ + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + + +
NameDescriptionPrice
Item 1Ante turpis integer aliquet porttitor.29.99
Item 2Vis ac commodo adipiscing arcu aliquet.19.99
Item 3 Morbi faucibus arcu accumsan lorem.29.99
Item 4Vitae integer tempus condimentum.19.99
Item 5Ante turpis integer aliquet porttitor.29.99
100.00
+
+ +
+ + +

Buttons

+ + + + + +
    +
  • Primary
  • +
  • Default
  • +
+ +
+ + +

Form

+ +
+
+
+ +
+
+ +
+ +
+ +
+ +
+ + +
+
+ + +
+
+ + +
+ +
+ + +
+
+ + +
+ +
+ +
+ +
+
    +
  • +
  • +
+
+
+
+ +
+ + +

Image

+ +

Fit

+ +
+
+
+
+
+ +
+
+
+ +
+
+
+
+
+ +

Left & Right

+

Lorem ipsum dolor sit accumsan interdum nisi, quis tincidunt felis sagittis eget. tempus euismod. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent tincidunt felis sagittis eget. tempus euismod. Vestibulum ante ipsum primis sagittis eget. tempus euismod. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent tincidunt felis sagittis eget. tempus euismod. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent. Vestibulum ante ipsum primis in faucibus magna blandit adipiscing eu felis iaculis.

+

Lorem ipsum dolor sit accumsan interdum nisi, quis tincidunt felis sagittis eget. tempus euismod. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent tincidunt felis sagittis eget. tempus euismod. Vestibulum ante ipsum primis sagittis eget. tempus euismod. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent tincidunt felis sagittis eget. tempus euismod. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent. Vestibulum ante ipsum primis in faucibus magna blandit adipiscing eu felis iaculis.

+ +
+ + +

Box

+
+

Felis sagittis eget tempus primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent tincidunt felis sagittis eget. tempus euismod. Magna sed etiam ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus lorem ipsum dolor sit amet nullam. Integer ac pellentesque praesent tincidunt felis sagittis eget. tempus euismod. Vestibulum ante ipsum primis sagittis eget. tempus euismod. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent tincidunt felis sagittis eget. tempus euismod. Vestibulum ante ipsum primis in faucibus vestibulum. Blandit adipiscing eu felis iaculis volutpat ac adipiscing accumsan eu faucibus. Integer ac pellentesque praesent. Vestibulum ante ipsum primis in faucibus magna blandit adipiscing eu felis iaculis volutpat lorem ipsum dolor.

+
+ +
+ + +

Preformatted

+
i = 0;
+
+while (!deck.isInOrder()) {
+    print 'Iteration ' + i;
+    deck.shuffle();
+    i++;
+}
+
+print 'It took ' + i + ' iterations to sort the deck.';
+
+ +
+ +
+ + + + + + + +
+ + + + + + + + + + + + \ No newline at end of file diff --git a/generic.html b/generic.html new file mode 100644 index 0000000..d1b899c --- /dev/null +++ b/generic.html @@ -0,0 +1,126 @@ + + + + + Generic Page - Massively by HTML5 UP + + + + + + + + +
+ + + + + + + + +
+ + +
+
+ April 25, 2017 +

This is a
+ Generic Page

+

Aenean ornare velit lacus varius enim ullamcorper proin aliquam
+ facilisis ante sed etiam magna interdum congue. Lorem ipsum dolor
+ amet nullam sed etiam veroeros.

+
+
+

Donec eget ex magna. Interdum et malesuada fames ac ante ipsum primis in faucibus. Pellentesque venenatis dolor imperdiet dolor mattis sagittis. Praesent rutrum sem diam, vitae egestas enim auctor sit amet. Pellentesque leo mauris, consectetur id ipsum sit amet, fergiat. Pellentesque in mi eu massa lacinia malesuada et a elit. Donec urna ex, lacinia in purus ac, pretium pulvinar mauris. Nunc lorem mauris, fringilla in aliquam at, euismod in lectus. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. Curabitur sapien risus, commodo eget turpis at, elementum convallis enim turpis, lorem ipsum dolor sit amet nullam.

+

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Duis dapibus rutrum facilisis. Class aptent taciti sociosqu ad litora torquent per conubia nostra, per inceptos himenaeos. Etiam tristique libero eu nibh porttitor fermentum. Nullam venenatis erat id vehicula viverra. Nunc ultrices eros ut ultricies condimentum. Mauris risus lacus, blandit sit amet venenatis non, bibendum vitae dolor. Nunc lorem mauris, fringilla in aliquam at, euismod in lectus. Pellentesque habitant morbi tristique senectus et netus et malesuada fames ac turpis egestas. In non lorem sit amet elit placerat maximus. Pellentesque aliquam maximus risus. Donec eget ex magna. Interdum et malesuada fames ac ante ipsum primis in faucibus. Pellentesque venenatis dolor imperdiet dolor mattis sagittis. Praesent rutrum sem diam, vitae egestas enim auctor sit amet. Pellentesque leo mauris, consectetur id ipsum.

+
+ +
+ + + + + + + +
+ + + + + + + + + + + + \ No newline at end of file diff --git a/images/bg.jpg b/images/bg.jpg new file mode 100644 index 0000000..1fe15b6 Binary files /dev/null and b/images/bg.jpg differ diff --git a/images/overlay.png b/images/overlay.png new file mode 100644 index 0000000..127bb2b Binary files /dev/null and b/images/overlay.png differ diff --git a/images/pic01.jpg b/images/pic01.jpg new file mode 100644 index 0000000..b8c5e1e Binary files /dev/null and b/images/pic01.jpg differ diff --git a/images/pic02.jpg b/images/pic02.jpg new file mode 100644 index 0000000..fe3be4f Binary files /dev/null and b/images/pic02.jpg differ diff --git a/images/pic03.jpg b/images/pic03.jpg new file mode 100644 index 0000000..282e4f5 Binary files /dev/null and b/images/pic03.jpg differ diff --git a/images/pic04.jpg b/images/pic04.jpg new file mode 100644 index 0000000..b0206cb Binary files /dev/null and b/images/pic04.jpg differ diff --git a/images/pic05.jpg b/images/pic05.jpg new file mode 100644 index 0000000..3731316 Binary files /dev/null and b/images/pic05.jpg differ diff --git a/images/pic06.jpg b/images/pic06.jpg new file mode 100644 index 0000000..a9762ce Binary files /dev/null and b/images/pic06.jpg differ diff --git a/images/pic07.jpg b/images/pic07.jpg new file mode 100644 index 0000000..57d9304 Binary files /dev/null and b/images/pic07.jpg differ diff --git a/images/pic08.jpg b/images/pic08.jpg new file mode 100644 index 0000000..e0f281d Binary files /dev/null and b/images/pic08.jpg differ diff --git a/images/pic09.jpg b/images/pic09.jpg new file mode 100644 index 0000000..cfdb688 Binary files /dev/null and b/images/pic09.jpg differ diff --git a/index.html b/index.html new file mode 100644 index 0000000..5f566c8 --- /dev/null +++ b/index.html @@ -0,0 +1,229 @@ + + + + + Massively by HTML5 UP + + + + + + + + +
+ + +
+

This is
+ Massively

+

A free, fully responsive HTML5 + CSS3 site template designed by @ajlkn for HTML5 UP
+ and released for free under the Creative Commons license.

+ +
+ + + + + + + + +
+ + +
+
+ April 25, 2017 +

And this is a
+ massive headline

+

Aenean ornare velit lacus varius enim ullamcorper proin aliquam
+ facilisis ante sed etiam magna interdum congue. Lorem ipsum dolor
+ amet nullam sed etiam veroeros.

+
+ + +
+ + +
+
+
+ April 24, 2017 +

Sed magna
+ ipsum faucibus

+
+ +

Donec eget ex magna. Interdum et malesuada fames ac ante ipsum primis in faucibus. Pellentesque venenatis dolor imperdiet dolor mattis sagittis magna etiam.

+ +
+
+
+ April 22, 2017 +

Primis eget
+ imperdiet lorem

+
+ +

Donec eget ex magna. Interdum et malesuada fames ac ante ipsum primis in faucibus. Pellentesque venenatis dolor imperdiet dolor mattis sagittis magna etiam.

+ +
+
+
+ April 18, 2017 +

Ante mattis
+ interdum dolor

+
+ +

Donec eget ex magna. Interdum et malesuada fames ac ante ipsum primis in faucibus. Pellentesque venenatis dolor imperdiet dolor mattis sagittis magna etiam.

+ +
+
+
+ April 14, 2017 +

Tempus sed
+ nulla imperdiet

+
+ +

Donec eget ex magna. Interdum et malesuada fames ac ante ipsum primis in faucibus. Pellentesque venenatis dolor imperdiet dolor mattis sagittis magna etiam.

+ +
+
+
+ April 11, 2017 +

Odio magna
+ sed consectetur

+
+ +

Donec eget ex magna. Interdum et malesuada fames ac ante ipsum primis in faucibus. Pellentesque venenatis dolor imperdiet dolor mattis sagittis magna etiam.

+ +
+
+
+ April 7, 2017 +

Augue lorem
+ primis vestibulum

+
+ +

Donec eget ex magna. Interdum et malesuada fames ac ante ipsum primis in faucibus. Pellentesque venenatis dolor imperdiet dolor mattis sagittis magna etiam.

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HSTJ1418+5236

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+
LDT list of targets
March 21, 2021
+SDSSJ1103+5322
+SDSSJ1100+5329
+HSTJ114331.46-0
+SDSSJ1112+0826
+MG1131+0456
+SDSSJ1319+1504
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+SDSSJ1416+5136
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+SL2SJ142031+525
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+SDSSJ1352+3216
+SDSSJ1436+3640
+SDSSJ1112+0826
+SDSSJ1250+0523
+SDSSJ1456+5702
+SDSSJ1349+3612
+SDSSJ1337+3620
+SDSSJ1452+33233
+SDSSJ1234-0241
+SDSSJ1103+5322
+

LDT list of targets
April 3, 2021
+CSWA17
+SDSSJ1204+0358
+SDSSJ1203+2535
+MG1131+0456
+SDSSJ1251-0208
+SDSSJ1352+3216
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+HSTJ114331.46-0
+SDSSJ1153+4612
+SDSSJ1213+6708
+CSWA8
+SDSSJ1150+1016
+SDSSJ1112+0826
+

LDT list of targets
May 5, 2021
+SDSSJ1709+2324
+SDSSJ1541+1812
+SDSSJ1452+33233
+SDSSJ1319+1504
+SDSSJ1337+3620
+SDSSJ1456+5702
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+SDSSJ1542+1629
+SDSSJ1637+1439
+SDSSJ1234-0241
+SDSSJ1621+3931
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+CSWA8
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+SDSSJ1614+4522
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+SDSSJ1432+6317
+SDSSJ1416+5136
+SDSSJ1218+0830
+SDSSJ1537+6556
+SDSSJ1503+3225
+SDSSJ1349+3612
+SDSSJ1436+3640
+SDSSJ1450+3908
+SDSSJ1352+3216
+SDSSJ1525+3327
+SDSSJ1531+3414
+
diff --git a/old_website/LDT_SN/LDT_list2.html b/old_website/LDT_SN/LDT_list2.html new file mode 100644 index 0000000..e85a1f7 --- /dev/null +++ b/old_website/LDT_SN/LDT_list2.html @@ -0,0 +1,42 @@ + + + + + + + + +
+
LDT list of targets
+SDSSJ1100+5329-SDSS-I
+MG1131+0456
+MG1131+0456
+MG1131+0456
+MG1131+0456
+SDSSJ1319+1504
+SDSSJ1251-0208
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+SDSSJ1452+33233
+SDSSJ1234-0241
+SDSSJ1103+5322
+SDSSJ1103+5322
+SDSSJ1100+5329
+HSTJ114331.46-0
+SDSSJ1112+0826
+
\ No newline at end of file diff --git a/old_website/LDT_SN/LDT_list3.html b/old_website/LDT_SN/LDT_list3.html new file mode 100644 index 0000000..3ad7dbb --- /dev/null +++ b/old_website/LDT_SN/LDT_list3.html @@ -0,0 +1,104 @@ + + + + + + + +
+
LDT list of targets
March 21, 2021
+SDSSJ1103+5322
+SDSSJ1100+5329
+HSTJ114331.46-0
+SDSSJ1112+0826
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+SDSSJ1349+3612
+SDSSJ1337+3620
+SDSSJ1452+33233
+SDSSJ1234-0241
+SDSSJ1103+5322
+

LDT list of targets
April 3, 2021
+CSWA17
+SDSSJ1204+0358
+SDSSJ1203+2535
+MG1131+0456
+SDSSJ1251-0208
+SDSSJ1352+3216
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+SDSSJ1234-0241
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+SDSSJ1218+0830
+SDSSJ1402+6321
+HSTJ114331.46-0
+SDSSJ1153+4612
+SDSSJ1213+6708
+CSWA8
+SDSSJ1150+1016
+SDSSJ1112+0826
+<<<<<<< HEAD +SDSSJ1709+2324
+SDSSJ1541+1812
+SDSSJ1452+33233
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+SDSSJ1352+3216
+SDSSJ1525+3327
+SDSSJ1531+3414
+
+======= + +>>>>>>> 90ddb76ba57841b54cd28c548bd1086603532d4f diff --git a/old_website/LDT_SN/MG1131+0456/MG1131+0456.html b/old_website/LDT_SN/MG1131+0456/MG1131+0456.html new file mode 100644 index 0000000..1eb0121 --- /dev/null +++ b/old_website/LDT_SN/MG1131+0456/MG1131+0456.html @@ -0,0 +1,54 @@ + + + + MG1131+0456 + + +

MG1131+0456

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SDSSJ1100+5329-SDSS-I

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For, example, an astronomer may use image processing to help find and recognize stars, or a self driving car may use it to stay in the correct lane.\n", + "\n", + "This lecture will teach you some of the fundamental tools of image processing so that you can use it in your own studies/applications.\n", + "\n", + "# **Fundamentals**\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "IjU3hTl8EdOO" + }, + "source": [ + "# What is an image, *really*?\n", + "\n", + "![alt text](https://snipboard.io/xf3naG.jpg)\n", + "\n", + "*Figure 1:* Felix the cat\n", + "\n", + "As we can see from Felix the cat, images are just a coordinate system in which each block (x,y) has a value associated to it. These values are later interpreted as a color.\n", + "\n", + "For example, in Figure 1, we would be describing two colors (black and white) and we could describe them using 1's and 0's. In general, 0 is taken to mean the absence of color, which means that 0 = black and 1 = white. Putting these ideas together, we can see that each point in an image requires three peices of information:\n", + "\n", + "\n", + "1. x - position\n", + "2. y - position\n", + "3. color (1 or 0)\n", + "\n", + "So if we were instructing a computer to produce even a small image, we would need to give it a large list of numbers.\n", + "\n", + "---\n", + "![alt text](https://i.imgur.com/fU7Yfre.png)\n", + "\n", + "*Figure 2:* Checker board pattern\n", + "\n", + "For example, suppose we wanted the computer to produce the checkboard patter that we see in Figure 2. If we make a list of the information the computer needs, we can format it like (x-coordinate, y-coordinate, color) and the whole list would be\n", + "\n", + "(1,1,1), (1,2,0), (1,3,1), (2,1,0), (2,2,1), (2,3,0), (3,1,1), (3,2,0), (3,3,1)\n", + "\n", + "---\n", + "![alt text](https://i.imgur.com/ZraCTP1.png)\n", + "\n", + "*Figure 3:* Images\n", + "\n", + "To make the image making process easier, people decided to ditch the traditional coordinate system and use matricies instead! However, because both systems *work* and because sometimes one method can be more convenient than the other, both still exists, but they have different names. \n", + "\n", + "When you use a coordinate system to instruct the computer, that's a **scatter plot**. When you use a matrix, that's called an **image**.\n", + "\n", + "To instruct the computer to make a scatter plot of the 9 square checkerboard, we had to give it 3x9=27 numbers. To insturct it to make an image of the checkerboard, we only have to give it 9 numbers, but they have to be in the correct *order*. Specifically, the order looks like this:\n", + "\n", + "\n", + "\n", + "```\n", + "image = [ [1, 0, 1],\n", + " [0, 1, 0],\n", + " [1, 0, 1] ]\n", + "```\n", + "\n", + "Each location that we assign a value to is considered a pixel. Thus, we have created an image that is 3 pixels wide and 3 pixels tall, and it has a total of 9 pixels.\n", + "\n", + "When we watch youtube videos at 1080p, we are actually looking at pictures that are 1080 pixels tall and 1920 pixel wide. These images have a total of 1080x1920 = 2,073,600‬ pixels. If we round to the nearest million, there are approximately 2 million pixels in each image. This would be considered a 2 Mega Pixel (MP) image. This is the same number phone manufactures using when talking about how many megapixels their newest device has.\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "---\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "rNVRtCrMU6Hu" + }, + "source": [ + "# Exercise 1: Making images\n", + "![alt text](https://imgur.com/uBM3KC6.png)\n", + "\n", + "Can you make the image matrix for the checker board that is shown above?\n", + "\n", + "For this we will:\n", + "1. create a matrix\n", + "2. plot the image using plt.imshow()\n", + "3. change the colormap\n" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "10LLvTAAYFBq" + }, + "outputs": [], + "source": [ + "# set exercise1 equal to your matrix\n", + "#SOLUTION:\n", + "exercise1 = #put your matrix here" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "ncm0-8LgYd9G" + }, + "source": [ + "We can check if we got this right by having the computer make the image. To do this, we will use matplotlib's \"plt.imshow\" function, which takes in *matricies* and turns them into images." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 287 + }, + "colab_type": "code", + "id": "131q3x7vY253", + "outputId": "fab93553-9723-4469-e8ef-e060ad2779e2" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "plt.imshow(exercise1)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "we9oScWgH6R8" + }, + "source": [ + "Now, we have gotten a figure that *looks* like the correct board, but the colors are wrong. To fix this, we need to tell the computer that we want to see the image in grayscale. We do this by inserting a \"cmap\" into the plt.imshow function. \"cmap\" stands for \"color map\" and in this case, we will set it to grayscale" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 287 + }, + "colab_type": "code", + "id": "rojd6LQTIWqB", + "outputId": "904f3217-d513-40ca-ba5a-5903671d4526" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib import cm\n", + "plt.imshow(exercise1, cmap=cm.gray)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "VHsXz1iOduap" + }, + "source": [ + "If the output of the code above does not match the chekerboad in the exercise try again or ask for help. Notice how the order of the numbers is important to final image." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exercise 1, part II: \n", + "\n", + "1. Can you show what would happend to the plot if instead of ones and zeros you replace one number with a 2? \n", + "2. Now show what happens if you change multiple entries to different numbers.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# part 1\n", + "exercise1b1 = #put your matrix here\n", + "\n", + "plt.imshow(exercise1b1, cmap=cm.gray)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#part 2\n", + "\n", + "exercise1b2 = #put your matrix here\n", + "\n", + "plt.imshow(exercise1b2, cmap=cm.gray)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "0PG75Q0Gf7NZ" + }, + "source": [ + "# Exercise 2: Understanding matrixes with scatter plots" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "tjkALS6cgIvX" + }, + "source": [ + "Other plotting tools like plt.scatter, helps us show data in very intuitive ways. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 283 + }, + "colab_type": "code", + "id": "OSwE5MSogfPC", + "outputId": "93deac69-6f79-4b38-ab98-d382a93baa4c" + }, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import numpy as np\n", + "\n", + "N=100 #number of data points\n", + "np.random.seed(0) #fix Random number generator seed for consistent data\n", + "\n", + "#make some 'fake' data to plot\n", + "altitude = 2**np.random.uniform(low=0.0, high = 5.0, size=N) \n", + "temperature = 300.0 - 5*altitude**0.5 + np.random.normal(loc=20,scale=10,size=N)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'remember this is fake data!')" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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xwF2SPg7MAP60ZrUJYO+a53uly3qi0ZxGFfXNPY0q9UbLejVHUrNeVE5Wm1mr8ux9NEPSWPp4FDgKuEfSe4GjgbdFxOaat1wJvCPthXQo8FREPLzNhnNQGXuwfsMmpiu5K1rld7szfvZy5tBWk9VOSptZM3leKewBnJfmFaYBl0TEtyRtBB4AblJS8V4REZ8ArgGOBVYDzwHvyrFsQFI5nn7lStat31BdtimC0ZHpLVXgzUYs92qOpFYm6fMIajObjKLBvD9lMT4+HkuWLGnrvfWVY72ZY6PcuODItrbTalDppcPOur5hU1PW/TWz8pO0NCLGG702tDfZaTbvUUXWJO1kPX+KyElpM5vM0AaFqSrBrEnaslWyHkFtZpMZ2qAwWSXYSi+hslWy3RpBbWaDacqgIOllkr4r6a70+SslfSz/ouWr2bxHu75wpKV8QNkqWd9PuXzcW8x6acpEs6TvA/OBL0fE3HTZXRFx0KRv7IFOEs3QvZvb+CY5lpeydWSwcpgs0ZwlKNwWEa+RtKwmKCxPRyr3VadBwazo3FvM8tBp76PHJL2UZF44JB1P3XxEZpaPsnVksPLLMnjtg8BXgAMlTQD3ASfnWiozAzyFifXepEEhHY38gYh4vaQdgWkR8UxvipYPt/9bmTSak6vIHRms/CYNChGxSdLh6eNf9KZI+Wk0xcOHL17Okgee4Mx5B/e5dMXjANp/rUxhYtYNWZqPlkm6ErgUqAaGiLgit1LlpNHo48qd1cZfsltX/9FaqVCLWPl6jqTi6NUcWmaQLSjsADwO1HZ1CKB0QaFZci6A0y5ZwYcvXt6VSnnRsgnmX7aieuOdiXXrmX/ZCmDbCrWola9v3GM2nKYMChGR+2ylvdIsaQfJ7KjQnUr5jKtWbnUnNkjuzHbGVSu32WZRK1/3ejEbTllGNJ8r6Wv1P70oXLfNP/oAlGG9Tie0e/K5DZmXF7XyLdv0HWbWHVnGKXwLuDr9+S7wIuDZPAuVl3lzZ3LyoftkCgy9qpSLWvmWbfoOM+uOKYNCRFxe83MhcCLQcCRcGZw572DOPmlOde6fyh3W6nVSKY+NjmReXtTKt3aOJEj+TpUrKM+9Yza42pkldX/g17pdkF6aN3cmNy44kvvOeiOfOXF21yvl09/0CkambR1sRqaJ09/0ioZlKeoEdfPmzqwGrfqciwOD2WCaMtEs6RnSKS5SjwB/k1uJeiyPfuCtbrNRl8OidFPNMxFelH00sy2y9D7auRcF6ac8+oF3ss0idVPNKxFepH00sy2y9D76bpZlZVL0+emLdIvPvBLhRdpHM9uiaVCQtIOk3YDdJe0qabf0ZxZQ2lO5yhnqxLr1BMVsIy9SN9W8EuFF2kcz22Ky5qM/Bf4S2BNYCtWenE8Dn8+5XLkp6mCxWkWaGTOvuXfa3UfnIWwQFel73TQoRMRngc9K+vOI+NcelilXZThDLdrMmHnkXNrZR+chbBAV7XudZZzCv0o6SNKJkt5R+elF4fJQ1MFitYrcTbVb2tlH5yFsEBXte52lS+rHgSOAlwPXAG8Afgicn2vJclK0s/BmhmFmzFb3sQxXeWatKtr3OsvgteOB3wUeSSfHmw3skmupcjQMZ+GDqgxXeWatKtr3OsvU2esjYrOkjZJeBDwK7J1zuXI1DGfhnegk6ZVnwqzfV3lFSgba4Oj397pelqCwRNIY8FWSXkjPAjdN9SZJOwA3ANunn3NZRHxc0qkkvZpeCsyIiMfS9QV8FjgWeA74k4i4vfVdys8wVAqdJL3yTpj14y5klWM+sW49YsvQ/n4nA21wFO3ueoqI5i8mFfVeEbEmfT4LeFFE3DHlhpP37hgRz0oaIclDfAh4HngS+B4wXhMUjgX+nCQoHAJ8NiIOmewzxsfHY8mSJVMVpSvqKzxIovmgNT0ddtb1DbuKzhwb5cYFRzZ4R3feW0SNjnm9su6bDTdJSyOi4cSmU92jOSRdAxycPr8/64dGEm0qU2yPpD8REcvSQtW/5Tjg/PR9N0sak7RHRDyc9TPbsWjZBKdfuZJ165N7HUgQkfyz10brMoxv6IZOkl5FS5h1qtExr1fWfTNrJkui+XZJr2ln45KmS1pOkoe4LiJumWT1mcCamucP0mDktKRTJC2RtGTt2rXtFKtq0bIJ5l+6ohoQIAkIsO1I50Gr8JrpJOlVtIRZp7Ic27Lum1kzWYLCIcBNku6VdIekOyVN2XwEEBGbImIOsBfwWkkHdVLYdJtfiYjxiBifMWNGR9taeO0qNmxu3nxW21d40Cq8ZjqZ1qKo94Zo11THtsz7ZtZMlkTz0Z1+SESsk7QYOAa4q8lqE2zdq2mvdFluWmkSKVoPgXZkSZR3kvQqWsKsU42OeSXZXN+8aDYoskyd/YCkw4H9I+JcSTOAnaZ6X7rehjQgjAJHAZ+e5C1XAqdKuojk6uSpvPMJzebfqTVNYt8FV7Pn2ChvefVMFt+ztpQVXis9gzrpsjtI3X0HLciZZZF1RPM4cABwLknC+ALgsCneugdwnqTpJM1Ul0TEtyT9BfDXwG8Ad0i6JiLeSzJa+lhgNUmX1He1t0vZLFo2wXO/2jjlerV3HLt86URpexsNS6K82wYpyJllkaX56M3AXOB2gIh4SNKUN95Ju63ObbD8c8DnGiwP4IMZytOxjy26kwtv/hmNsgmV3kfTpWpAqChzJTosiXIz60yWRPOv0go7ACTtmG+R8rVo2UTTgDBzbJT7PvVG7j/rjWxuMn6jrJXosCTKzawzWYLCJZK+DIxJeh/wHZLRzaW08NpVDQMCbF3hD1ol2s+eQUW/052ZbZFl6ux/Ai4DLgdeBvxDme+vMNmZfm2FP2jdK/s1EWAZ7nRnZltkySkA3AmMkjQh3ZlfcfLXrMeRYKsKfxB7nvQjaeoEt1m5THmlIOm9wK3AH5JMo32zpHfnXbC8NLoCEHDyofu4ksqBE9xm5ZLlSmE+MDciHgeQ9GLgR8DX8ixYXrJeAbTSr38YZk9tVzv3Yvbf06x/sgSFx4Fnap4/ky4rrSzNKFmbPYp2f9WiaDblNEyem/Hf06y/svQ+Wg3cIun0dCDbzcBPJP2VpL/Kt3j9k7XZo2j3Vy2C2uQyJAGhMifuVAlu/z3N+ivLlcK96U/FN9PfUw5gK7OszR5uM99Wo4q9Ml/QVPce8N/TrL+yzH10Ri8KUjRZJ8Brp8180HVSsfvvadZfWXofjUv6hqTb06mz78g6dXaZZe3XP2jjGbqhk4F//ntaVh4UmY8szUcXkvRAuhPYnG9xiiVLQnoQxzN0qpNpxv33tCzcISE/WYLC2oi4MveSlJhn0txauxV7fVfUs0+a47+rNeRBkfnJEhQ+Lunfge8Cz1cWRsQVuZXKSq/VQOkzP2uFOyTkJ0tQeBdwIMl9FCrNRwE4KAyJXgwm85mftcIdEvKTJSi8JiKc5RtSvTqD95mftWIQbo9bVFkGr/1I0stzL4kVUq8Gkw3aVOWWr37N+jsMslwpHAosl3QfSU5BJDdKe2WuJesxz7fTWK/O4H3mZ61yB498ZAkKx+Reij5zkrO5XrXduiuqWTFkGdH8gKTDgf0j4lxJM4Cd8i9a7zjJ2Vw3z+CnuhrzmZ9Z/00ZFNJJ8MaBA4BzSXohXQAclm/ReqfRmTA4yQndO4Mv+9WYmxdtWGRpPnozMBe4HSAiHpI0MJPhLVo2sc3UzhVOcia6cQZf5quxsgc0s1Zk6X30q4gI0npT0o75Fqm3Fl67qmFAqL89p3WmzF1OPZ23DZMsVwqXSPoyMCbpfcC7ga/mW6zeaVYpBVufBdY3H/zOgTNYfM9aNydkVObBRmUOaK1wE5lBtiuFGcBlwOUkeYV/APbKs1C91KxSmlmzvPamMUHSfHDBzT/b6vlHr7jTszROoh+zn3ZrFs1hGEPR6Dvu7/RwyhIUjoqI6yJifkR8JCKuA96Qd8F6JUtl1aj5oJ6bEybX68FG3azkhmE6bzeRWUXT5iNJfwZ8APjNuvsn7AzcmHfBeiVL75qszQTdaE4Y5Ev4XnY57WZiexjGUAxLE1m9Qf5/a9dkOYX/BL4NfApYULP8mYh4ItdS9dhUlVWz9vB6Yy8c6agc7uXSPd2u5AZ9DEWZcz7t8v9bY02bjyLiqYi4PyLeFhEP1PxkCgiSdpB0q6QVklZKOiNdvq+kWyStlnSxpBeky7dPn69OX5/VjR3shkbNB408+8uNHbXB+hK+e4YhD9BNw9BEVs//b41lySm063ngyIiYDcwBjpF0KPBp4OyI2A94EnhPuv57gCfT5Wen6xVCo/bwF45s+6fbsDk6+kIN6yV8HoaxkuvEME4w5/+3xrJ0SW1LOrbh2fTpSPoTwJHAH6XLzwNOB74IHJc+hqS30+clKd1O39U3H+y74OqG63XyhRrGS/i8DEMeoNsGvYmsnv/fGsstKABImg4sBfYD/g24F1gXERvTVR4EKt/CmcAagIjYKOkp4MXAY3XbPAU4BWCfffbJs/iTyuML5ZlCu2vYKjlrjf/fGsuz+YiI2BQRc0jGNbyW5A5unW7zKxExHhHjM2bM6LiM7cqjeaIXl/Dd6rtvVnbD2GSWRa5XChURsU7SYuB1JCOjt0uvFvYCKrXSBLA38KCk7YBdgMfzLlu7I5Xzap7I8+zWvS3MtuaryW3lFhTSKbY3pAFhFDiKJHm8GDgeuAh4J/DN9C1Xps9vSl+/Pu98QqNK8oKbf1Z9fapKs1tfqF71lS7zpHRm1ht5XinsAZyX5hWmAZdExLck3Q1cJOlMYBlwTrr+OcB/SFoNPAG8NceyAa2NVB6Es/dmSfCJdevZd8HVTsZaqXkgWnfk2fvoDpIpt+uX/5Qkv1C//JfACXmVp5FejlRuppdn75MNwqudCgLcnGTl4qbR7sk10Vx0WXsK5dlFrRt9pbMmj7MMwlu/YRNnXLXSyWgrFQ9E656hDgpZKsm8u6h1OvK2lYnf6ntbNPPkcxu6OlumezxZ3jwQrXuGOig06pL2x4fu09Muap12bW31DGne3JncuOBI7jvrjVtNDz6ZTs64PCWz9YKnNemennRJLbJ+d0nrtGtrJ2dIjQbvtPo5U3GPJ+sFD0TrnqEPCkXQSWDqZGR1o4D0i+c3sm79hra218gwXNa710v/eVqT7nFQKKBWKplOz5DqA1J9L45Wt1cvj+lAilQJu9dLcfT7qn9QDHVOoYhabYPv9lD9bm+v29OBFC1H4V4vNmh8pVAw7bTBd/sMqZvb6/ZlfdFyFMPQPGbDxUGhYLpZyRSlmaWbQaZolbCnX7ZB4+ajgulW17qiNbN0S9G6HvpmPjZoHBQKpluVzKC2dRetEvb0y1t4kOJgUEFubNaW8fHxWLJkSb+L0XXdaPbZd8HVNDuygr732ulEUZrF8lam/WzWa21YA2TRSVoaEeMNX3NQGEyHnXV908nvKvxPW1xlq2Sbfd9mjo1y44Ij+1Aim8xkQcHNRwMq6+R3ZW9OGlRla/4rWgcAa5+DwoDKOvmd/2mLqWyVbNE6AFj7HBQGWJbJ7/xPW0xlq2SL1gHA2uegMCT8T1suZTte7oU1ODx4bUh4wrByKePx8txDg8G9j8zMhsxkvY98pWBm1idFHIvioGBm1gdFnXbdQWFAFfEMxMy2KNqMvxUOCgOoqGcgZrZFUceiuEvqACrbaFizYVTUsSgOCgOoqGcgZrZFUceiOCgMoKKegZjZFkUd8OecwgCaf/QBDWfY7PcZiJltrYgD/nK7UpC0t6TFku6WtFLSh9LlsyXdJOlOSVdJelHNez4qabWkVZKOzqtsg66oZyDWnG9QY0WR24hmSXsAe0TE7ZJ2BpYC84DzgI9ExPclvRvYNyL+XtLLgf8CXgvsCXwHeFlEbGryER7RbAOhbPdOsPLry/0UIuLhiLg9ffwM8GNgJvAy4IZ0teuAt6SPjwMuiojnI+I+YDVJgDAbaO4tZkXSk0SzpFnAXOAWYCVJAAA4Adg7fTwTWFPztgfTZfXbOkXSEklL1q5dm1eRzXrGvcWsSHIPCpJ2Ai4H/jIingbeDXxA0lJgZ+BXrWwvIr4SEeMRMT5jxozuF9isx9xbzIok16AgaYQkIFwYEVcARMQ9EfF7EfFqkjvdlvsAAAd7SURBVBzCvenqE2y5agDYK11mNtCK2l/dhlOevY8EnAP8OCL+uWb5r6W/pwEfA76UvnQl8FZJ20vaF9gfuDWv8pkVhXuLWZHkOU7hMODtwJ2SlqfL/hbYX9IH0+dXAOcCRMRKSZcAdwMbgQ9O1vPIbJAUsb+6DafcgkJE/BCa3jP+s03e80ngk3mVyczMJudpLszMrMpBwczMqhwUzMysyhPimdlQ810Kt+agYNZlrmTKw3cp3Jabj8y6qFLJTKxbT7ClkvGsp8Xkeae25aBg1kWuZMrF805ty0HBrItcyZSL553alnMKZl2059goEw0CQDcrGecsuqffdyls51jmffx9pWDWRXlPbuecRXf1c96pdo5lL45/bnde6wXfec2KKM8zucPOur7hlcjMsVFuXHBkVz7DeqOdY9mt4z/ZndfcfGTWZXlObuecxeBo51j24vi7+cisRJwYHRztHMteHH8HBbMS8Q15Bkc7x7IXx9/NR2YlUmmWcu+j8mvnWPbi+DvRbGY2ZCZLNLv5yMzMqhwUzMysyjkFM7MuGJSR5g4KZmYdGqQpuN18ZGbWoUGaHddBwcysQ4M00txBwcysQ4M00txBwcysQ4M00tyJZjOzDg3SSHMHBTOzLshzdtxecvORmZlVOSiYmVmVg4KZmVU5KJiZWZWDgpmZVZX6fgqS1gIP1C3eHXisD8XJg/eluAZpf7wvxZTnvrwkImY0eqHUQaERSUua3TyibLwvxTVI++N9KaZ+7Yubj8zMrMpBwczMqgYxKHyl3wXoIu9LcQ3S/nhfiqkv+zJwOQUzM2vfIF4pmJlZmxwUzMysaqCCgqRjJK2StFrSgn6XpxOS7pd0p6Tlkpb0uzytkPQ1SY9Kuqtm2W6SrpP0v+nvXftZxqya7MvpkibSY7Nc0rH9LGNWkvaWtFjS3ZJWSvpQurx0x2aSfSnrsdlB0q2SVqT7c0a6fF9Jt6R12sWSXpB7WQYlpyBpOvAT4CjgQeA24G0RcXdfC9YmSfcD4xFRuoE4kn4beBY4PyIOSpf9P+CJiDgrDdi7RsTf9LOcWTTZl9OBZyPin/pZtlZJ2gPYIyJul7QzsBSYB/wJJTs2k+zLiZTz2AjYMSKelTQC/BD4EPBXwBURcZGkLwErIuKLeZZlkK4UXgusjoifRsSvgIuA4/pcpqEUETcAT9QtPg44L318Hsk/cOE12ZdSioiHI+L29PEzwI+BmZTw2EyyL6UUiWfTpyPpTwBHApely3tybAYpKMwE1tQ8f5ASf0lIvhD/I2mppFP6XZgu+PWIeDh9/Ajw6/0sTBecKumOtHmp8M0t9STNAuYCt1DyY1O3L1DSYyNpuqTlwKPAdcC9wLqI2Jiu0pM6bZCCwqA5PCJeBbwB+GDajDEQImmzLHO75ReBlwJzgIeBz/S3OK2RtBNwOfCXEfF07WtlOzYN9qW0xyYiNkXEHGAvkpaPA/tRjkEKChPA3jXP90qXlVJETKS/HwW+QfIlKbOfp+3AlfbgR/tcnrZFxM/Tf+DNwFcp0bFJ26svBy6MiCvSxaU8No32pczHpiIi1gGLgdcBY5Iqt03uSZ02SEHhNmD/NFv/AuCtwJV9LlNbJO2YJs+QtCPwe8Bdk7+r8K4E3pk+fifwzT6WpSOVCjT1ZkpybNJk5jnAjyPin2teKt2xabYvJT42MySNpY9HSTrM/JgkOByfrtaTYzMwvY8A0u5n/wJMB74WEZ/sc5HaIuk3Sa4OALYD/rNM+yLpv4AjSKb+/TnwcWARcAmwD8l05ydGROETuE325QiS5okA7gf+tKZNvrAkHQ78ALgT2Jwu/luStvhSHZtJ9uVtlPPYvJIkkTyd5GT9koj4RFoXXATsBiwD/jgins+1LIMUFMzMrDOD1HxkZmYdclAwM7MqBwUzM6tyUDAzsyoHBTMzq3JQMMsgnbV2d0ljkj5Qs3xPSZelj+e0MytnOrPnR7pZXrN2OSiYtWYMqAaFiHgoIiqDi+YApZiq2awZBwWzOpIWpRMRrmwwGeFZwEvTufoXSpol6a50FP0ngJPS106qvwJI15uVPv47ST+R9EPggJp1Xirpv9PP/4Gkvsx/Y8Nru6lXMRs6746IJ9LpBm6TdHnNawuAg9KJyyozdBIRv5L0DyT3wDg1fe30RhuX9GqSaVjmkPwP3k5yPwBIbtb+/oj4X0mHAF8gmT7ZrCccFMy29ReS3pw+3hvYv8vb/y3gGxHxHICkK9PfOwH/F7g0mdoHgO27/Nlmk3JQMKsh6Qjg9cDrIuI5Sd8DdmhzcxvZuol2qu1MI5k/f06bn2fWMecUzLa2C/BkGhAOBA6te/0ZYOcm761/7X7gVQCSXgXsmy6/AZgnaTSdDfcPANL7Adwn6YT0PZI0u/NdMsvOQcFsa/8NbCfpxyRJ5ZtrX4yIx4Eb06Txwrr3LgZeXkk0k8z1v5uklcCpJPcQJ72N5MXACuDbJNO+V5wMvEfSCmAlvqWs9ZhnSTUzsypfKZiZWZWDgpmZVTkomJlZlYOCmZlVOSiYmVmVg4KZmVU5KJiZWdX/BzYPmGAzTDBYAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# use plt.scatter() to plot the arrays altitude and temperature\n", + "import matplotlib.pyplot as plt\n", + "plt.scatter(#what goes here?? )\n", + "plt.xlabel('altitude')\n", + "plt.ylabel(\"temperature\")\n", + "plt.title(\"remember this is fake data!\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, what if in addition to altitude, we have data for X and Y positions:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.random.uniform(low=0, high=10, size=N)\n", + "y = np.random.uniform(low=0, high=10, size=N)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With a little extra legwork, we can make a 3D scatterplot in matplotlib showing at which positions we have data:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'altitude')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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4i7/I7//+7zM5OcmDDz7I2toaZ86c4Rvf+EbOYmypqJMumzW2r732Gm95y1uqukmCwSATExMkEglOnDiRkduqBJVs68PhMBMTE6RSKYaGhnA6nVy/fr2q46qFf8OtAqEZFu3MDoeDoaEhI4UTjUYJhUIZsrZsjbHD4aj4+3gzkK4Z5od9NhkfOXKED37wg9x999184AMf4PXXX+fVV18ti3QdDgc//OEPcbvdpNNp7rnnHu6//37++I//mM985jM8+OCDfPKTn+QrX/kKn/rUpyo+jjc16eZqaKjW61P4IsiyzNDQEIlEomrChfLkZ+FwmPHxcRRFYWhoyHj/RCKxZdaOb3aYUz+FZG1CSeH3+5mdnSWZTGKxWDLyxflkbdnYSdLdiZbhYkU0XdexWCzcd9993HfffWWvL0mS8Z2l02mjhf+HP/wh3/zmNwF46KGH+PznP18n3XJRTGMrorlSn+a6rrO6uorX68XpdHLkyBE8Hk9NP3MpEaaweFRVlaGhoU35sa300y0Ft7KWtZRjs1gseDyeTdeGoijGVnl1ddWQtVmt1k0aY3NFfydJt9jU6K1AMdJNJBIVt8gLqKrKmTNnGB8f5zd/8zcZGhqipaXFeN/9+/czNzdX1Xu8qUg3F9nmulGEvrYY6eq6ztLSEj6fD7fbzcmTJ7fMxrBQpCtSGbquGxdJLtTKTzdbdjY+Pk4gEECWZaPKL8jCXOXfCtKNpVTCCYW2Rhs2y/YTkEA1x2a1WnPK2sxubUtLS5u0rrIsG9fzdkaexdILgViaN5YiOG0yJ/c1lexfUQzF7slAIFC1u5jFYuHq1asEAgH+8T/+x7zxxhtVrZcLbwrSLaehAYpv5TVNY3FxEZ/PR0tLC6dPn847DVY4I1UbkeQizEAgwMTEBJIkMTQ0VFSfWMtIV8jOYrEYg4ODHDlyBMCo8ovikjCvicfjTE1N4fF4alZY+ruJdb7+D3OAjsdp5Z+/7RAHWnfvVN5yYbPZaG1tzSlri0ajrKysGJaZIvo0R8ZbZZ1ZiHR9azH+5XdfJ5HW0HSdYz0e/uh9R2ryQNzObrSWlhbe9ra38eyzzxIIBIz3np2dpa+vr6q1b2nSraShAfJ3kgk/z+npaTo6Ojhz5kzRbZYg8GpvSPODwO/3MzExgSzLZfnp1iIfKxzBXnrpJYaGhoxqvpgam6vKr2kaly9fxul0ZvgliFymIAq3211yd9JiKMkTF2dpdllxWGUC8TR/8oyPx9+/uXV5O7BdqROzrE3TNKxWK0NDQxkG55FIJGMoZi63tmqux0Kk+x+f8RFLaXicG7PTXpkP8TdvrHL/ia6cf1/u+xYj3WoaI1ZWVrDZbLS0tBCPx/nBD37A7/zO7/C2t72Nv/iLv+DBBx/kiSee4H3ve1/F7wG3IOlW29AAm0lXVVXDF6G7u5uzZ8+WLBkRZFmtj4IsywSDQbxeL1arlcOHD5e9laqGFMytwjabjbvuustYrxiRC7f/zs7OjJtG5DJFi+7k5GTG9lkUo3JFbEvhjckCDusGebS4bCyGk8TTGg32na2sbxfM0XUhT13h1haNRlleXiYejwMYGuNy3cMKRfWLoSROm8kciZvfVbUoFukGAoGqIt2FhQUeeughVFVF0zQeeOAB3vOe93D8+HEefPBBfu/3fo877riDj33sYxW/B9xCpFurhga4SbqKojA1NcXCwgJ9fX3cddddZefOKh2fLiAmRSwsLGC321l17OOlhQTt4TUeOOOkrbFyvWApECY4wWCQwcFBjh07xsWLF/O6+xc639nElCuXad4+RyIRZmdnja6wjIhNtm3k6FUNq0UmnFBoclhx2XYur7sbO9LMsrZSrDOFrM2spsiWtRWKdG/r8/CjsXWanBKqDhZJ4mh3eWb7+bDV6YXbbruNK1eubPr54OAgly5dqnjdbOx50hWyr/X1dTweT9UNDQKzs7OMjY2xf//+qkxoKiVdXddZW1vD6/XicDjo7u7m6WmF712aRZZA1eDHY2v851+5Hbez9l+jsHcMBAIlmeAUS12U+n0UMlERJBGJRIhHItzRFOXHcxpWqwWn3cqn37KPVCpVlXC9Uuy1NuB81plC1haNRjelgoTGOJFIZFiZmvFbbx0gEEvz4lwYSYJfPdfHXQO1ybMqilJQnbAXzG5gD5Nutsb2lVdeqbqhIZFI4PP5WFxcpK2trSYmNOWSrll+5nK5OH78OG63m6mpKb736hRulx3rjaLEWjTJP/j8vP1oZ5FVS0cymcTr9eL3+/PaO1aCavPJuSK2U6fggVCcpUAEFyn0VJzXX3+dVCpFPB7n+vXrGbnMrazwlzIddy+8ZyFZm9AYp1Iprl+/bsjazJI2t9vNY+8/RiylYrNINVWUFFMvBINBent7a/Z+W4U9R7qFGhoqJYdYLMbk5CShUIiBgQE8Hg+pVKomF7TFYilq7wg3x/J4vV4aGxs3yc9kWUbbFFlIaDXKJZqnRBw6dKhmZCuwVU0VnU0uOps2KxYuXbpEV1cXkUjEcBHLrvDnMq6pFDsV6W6XVMxqtRrWmXNzc9xxxx0AGa5h5ry8zWbbpDGu9rOWUkirR7pbAFVVjU6R7Jul3As/Eong9XoN2ZOwNlxeXjakTtXCarUWjHTNZOt2u7nttttybqGsVitvHWjkxzNJHFaZtKrRaLdy5mB1F1kqlWJycpK1tTUGBgYypkTUEtvdySZJEi0tLRk3oajwC+2rMK6BzKKS2+0uW9K219ILtYKo9meTnTkvbzY3N08nLnci9K1gYA57kHRlWc55oZXTRRYKhfB6vaTTaQ4dOkR7e3vGDVOK+XipyJdeEI0Vk5OTNDU1FdT6wsbxPXCymaH9Ti5O+mlvtPOxu/srKqQJdYfP52NlZWXbLCZ3un3YXOHPlrQJ45pwOMzCwkLGCCChoijUnrsTBLgbSDcfSrHONBdJnU7nJo1x9rHVSXeXwWazkU6nC5Ku3+/H6/UCGxXJfL6b1SoOCq1lJtvm5mZuv/32gmRrXgdd45fPHeCXzx2o6jONjY2xsrJCf3//tpinw/ZX9suBuahkhhgBJBo9zFMnzFFxY2PjmzbSLQelWGdmN9UIxUpjY6PhU5EPoVBo13vpwi1EuvmiUyG5EvrW4eHhogLqWke6yWQSXddZXFxkcnKS1tZW7rjjjoxR0sVQbTeZGAsUjUaNsUDbecPuRaOc7BFAArmMzhOJBE6nk3A4XLMmhGLYCdLdiu+wUFONWWOcSCR44YUXjKKqeOi5XC6j8aYe6W4B8kUTItIVELnSyclJXC4Xx44d2+T6lA+1JF1ZlgkEAjz77LO0tbVx5513lkW2ApVG30JrvLi4yIEDB2hubqa3t3fbb9atJN1ALI1vPU6Ly8pAe3WGJ6Ug1yia8fFxY8RMdhNCtoNYNXaOZtzqKY3sHcjq6ipnz57dNBH64sWLPPLII0QiET796U9z8uRJ7rnnHs6dO1fye83MzPCRj3yEpaUlJEniE5/4BL/927/N5z//ef7sz/7MUMw8+uijvOtd76rquPYc6eaDIEoRUfp8Ppqamjh16lTZzkO1IF1N01hYWGBiYgKbzVZSy3AhlBvpZpOtiGxXVla2xA+3FFLdCtJ9ZT7Mv/7La6iajqrpvPdUN5/8mYM1f59S4HQ6aWtr29SEkM/OMTtFUW7X4k6Q7k556ZqRbZ05NDTEu9/9bu655x4+/elP8+qrrzI7O1sW6VqtVr74xS9y5513Eg6HOXPmDO985zsB+MxnPsPnPve5mn3+PUe6hSbvLi0tMTY2VtH23YxqtvKapjE/P8/U1BSdnZ0cPXqU1dXVqq3wSo10FUVhenqahYUF9u/fz/nz5zNuElmWt4T8iq25VfnOP/x/x9A0nQabBU3X+X9eXuKeoe3P6+XL6ebz1lUUJaeDWHZ1X7iJ5YKZdBVN58XZEElF5USvh2ZXdW3n+bAbDMzzQZZlRkdHGR0dLXv93t5eQ+Pr8Xg4duxY1RaO+bDnSBcyoypVVQ0TGrfbzejoaNUdSZUQhNkMp6ury/BnCIfDNSnKFXsQqKrK9PQ08/Pz9PX1bSJbAeF6ViuIiHpubs5QB+TSwW5FeiGtaqzH0rTc6MiTJQkJWAqn2O55sOUem9VqzSlpM+eLZ2ZmMmaxZZvWCNJNpFX+6ZOvMr4S3ciP2mT+rw+f2hLHtZ0i3WLvm0gkaubx6/P5uHLlCnfddRc//elP+dKXvsTXv/51RkdH+eIXv1h1sW5Pki5s3OzChKa3t5fh4WGSyeS2t4Bqmsbs7CwzMzN0d3dz7ty5jG1irZQQ+dYRZjzCci4f2QrUatyOoijMzs4yNzdHX1+fsZUzk4ZZByu6iVKpFG63G7vdXnX0a7PIHGx1MR9M4HFYSasaSDDQ7sIfrvoQy0a1W/1C1X3Rmmv2SUgkEkxMTPCjeXh9MYzDKiPLEqGEwr/7wQR/8sDJag9pE3aKdEuRi9Vi9HokEuGDH/wg/+E//Aeampr41Kc+xSOPPIIkSTzyyCN89rOf5atf/WpV77EnSXdyctK42c+fP4/VamV1dZVoNLptn0FVVWZnZ5mdnaWnp2cT2QqU2pFWDNlkaXY+6+3tNc5DueuUC03TSKVSXLx4kX379hkmQMLVLZ8O9rXXXsNqteL3+5mZmSGVSuWUXpV7Q3/+3SP8q+9dYz2WAuDTP9PPcGcjz/kqPsSKsJWSMUmScvokvPDCC+zbt4+V8VlUTUNVNBR0dA0mlzdms9WqG0xgN5NutcqFdDrNBz/4QX7lV36FD3zgAwB0d3cbv//4xz/Oe97znqreA/Yo6ba1tXHw4MGMyCJbvVAt8pmPmyPL3t7eos5jtYp0BVmaI+uenp6ync8qJV1d15mfn8fn8wEwOjpacs5clmVsNhvt7e0Z0Yi5a0lIrzRNy5ADFesOO9Dq4msfOc1aJIXHaTVsHbdbnqZp2rbrdHVdp6mpibuP9vK3k1Eslo30iqZo3NbnMYq5ohus0FSPUrFb57KFQqGqIl1d1/nYxz7GsWPH+Bf/4l8YP19YWDByvd/97nc5ebL63cOeJN2WlpZNxFFLmZd5PZGuMKcz9u3bV3JkWSvSFfm+Z599tiKyFSiXdEUzh9frpb29nbNnz3L16tWyo51cOd18XUu5usOyq/1ut9s4fqss0d20/TO7zNiJ5ghhePOOIx28sRjhOy8sAHBbXxO/+66juB3WjL/N14CQ/ZArJGnbyUi32Kieakj3pz/9Kd/4xjc4deoUt99+O7AhD/vWt77F1atXkSSJgYEBvvzlL1f8HgJ7knRzXRA2m21LSFeW5U0FqnLIrtob0Vyg03U9bxqjVJRKukLnPDExQXNzc4a+uJKiWKmvMbuJmbfSZsPzpaUlYwCnOXoTQvlqJzpXgp0kXYB/et8hfuPug6RVHY/DsumzFGpAyGflmGuqx62aXrjnnntyXp/VanJzYU+Sbi6IvGKtIMsyPp+P9fX1qj11K4FZetbV1cW5c+d47rnnajKBohj5ra2tMT4+TmNjY8425VzEXYxwqlUv5DM8FwY2YvpEPB5HkiTi8bihaBGFu63Ebph07LJZKFcpZpa0mfOX+aZ6iLy92Hls1Ry2bGz11IjtgCRJI4BrT5JuPj1kLfJ4ol12dXWVffv27QjZLiws4PP56OzsLGk0UFrV+PJPfDz9xjIOq4WP3d3PO4/lnklVKNL1+/2Mj49jt9sLTjaulEBrnWfNZ2CjqqrxgFpbW2NqairDM6HQGKBKsRtIt5bI95ATs/nS6fSmqR7mqLjU0T+lQlGUgjWEUCjE8PBwzd6vVpAkSdJ1XZck6WeBB4Bf35OkuxUQrlvLy8scOHCAAwcO0NLSsm2Eq+u6QbYid1pqdPbEs9M89dIiza4N2dQf/804nW4Htx/YnOPKpdMNhUKMjY0hyzJHjx7dZGCda41K0gvbBYvFgsVi2WRoLeRskUhkkwbWTMaVtOneaqSbC8Kzurm5Oe8ctkgkYrRAi1SRmYwrlQruYYcxCdCBLwAfBfrf9KSbSqUMi8ODBw8a7bJer7dmTmOCpPLNFTOTbaHmjnyKip9OrNPosGC1yFgtEEupXJ4O5CRdc6QbiUQYGxtDVVVGRkZKLkTki99BnDgAACAASURBVJYLEc9uMLzJ5ZlgtnXMzmmaibiY7OrNQLqQu5CWbw6bGP0jWqCFVNBqtW6SChark5SiXtilpCsuegtwHXDsSdLNd3HLslxyol+Yd6+urua0ONwKT13zRWN2HWtrayvJm0GQXTbpNrtsrEaTOG0bx63p0JoncyTLMolEgpdeeolEIsHw8HAGCZWCrSykbTfMpirmnKaYiJA9eUJ03JkLd4Ueqrcayimk5Rv9k+/cFprqUcqonlo0R2whngZ+ERjck6SbD4IoC3055rE0/f39ec27rVYryWRtRkeLBgmr1Zrhp9vS0lKW61gu8gb45L0DPPzdV1mPbjQI9LU4+bnj3Zten0gkWFhYIB6Pc+LEiU3m7aVit+R0txK5JiII2ZVIUYgJI+JBNj8/T3Nzc0Gz81php85lLXS6+c5tMpk0yDh7qkckEiEUCmGxWHLqtoPB4K700tVvfFG6rv8rSZL+FFjek6RbyPQmnU7njBjFdFu/31/SWBqr1VqzDjdBukLv2tzcXJEhT75t/dEeD//pw6d5cTaI3SJzYbCNRtMmRgybDAQCtLa20t7enlF4KheVNFjcClGgWXaVvY1+/vnnjc5In89HKpUyIjdz4a5WjQU7FVlvlWTMXBQ154tF+ufll18mFouxurqaMZ1YlmXGxsYIh8MVk24+W8f19XU+9KEP4fP5GBgY4MknnyzrPSRJkoHTQAyI6br+KUmS7HuSdPMhl1bXTLblDFysVfuuaGq4evUqra2tJU+KyPeZ8uWZ+1pc9LVkrptOp40Uijj25eVlwuHqjAlupfRCLWAu3AlCyjavmZ6eNh7iorhUjb/uTnaGbaeaR6R/LBYLQ0NDxnkSUz2mpqZ46qmnmJ6e5sKFC3R2dvLAAw/wiU98ouT3yGfr+LWvfY23v/3tPPzwwzz22GM89thjPP744+V8/Ebgk0AIsEuS1AnM3FKka9bqxuNxJicnCQaDFU23LTZQshjEKPWJiQnS6TQjIyP09PRUvB6UHmEqioLP52NpaYn+/n7Onz9v3KClrKHrOpGkikWWjLZaM3IRaCqVIpVK5ZUK3cqkC5sjz3zmNWZ/3UAgYPjriuKSOadZiNzeLKRrhvn8iqkep06d4k//9E+59957uXLlCisrK2UHFflsHb/3ve/xzDPPAPDQQw9x3333lUu6CvDfgS7gV4Awe5V0C02PiMVivPrqq4RCIQYHBzl27FhF27BKC2mCbL1eLw0NDdx2223MzMzUxHCkWEux2d7xwIEDnD9/HlXPnJpcjHQTaZVvXprl9cWNC/fekXbefbIHWb55Ds1rmAuSdrt9E4EIEtlu0t1ugi91u5/PXzedThtR8cLCApFIpKD+dadI19wFt9sgSRJdXV0ZnYzlwmzruLS0ZJBxT08PS0tLZa2l63oc+GtJkm4H0rquPwB7uCMt+yaOxWIsLy+TTCY5duyYMU69UpRLurqus7a2xsTEBC6XK2NiRbVRs0A+wtQ0zTDhEb4Qz1xf49f/5FkSKY3D3W4e/8AJujyOok0kf/3aMq8uhOhrcaLp8LfXVjnQ6uL2AzeLHpIkoSgKExMTLC4uMjAwwNDQkNE2LQjEbGQjbDeTyWRVethbFTabjdbW1pw+FOb253g8jizLOJ1OEokEfr/faNG9VVHsASoaX6pFtq2jGUKjXA4kSZJ1XdeAJqBRkqQjQGDPkq5ANBrF6/USjUZpbW3FarVW9aQTKMeoRrTNulyunJ1cW+Wpa24V7u7uNkxwJlai/MH3r2GRJRodFsaWI/zu//0a/+Wf3FE00vWuxmhpsCFJEhYJ7FaZGX/cIF1N0wiFQiwsLGRI7cyfKxeBzMzMoCgKLpeLYDDI3NycERV7PJ6MqLgWkdROkHmt37OQ/nVlZYWZmZmMFt1Ckqu9jGJRfTAY3ESS5SKfraNwGVtYWCibV24QLsAV4EfAfwJ+vGdJNxqNMj4+TjweZ2hoiPb2dlZXV/H7/TVZvxSiXF9fZ3x8HIfDwYkTJ/IOvqy1p65Z49vR0bGpe+2NG6kBm2XjQm2wW3h9IYyq6UVJt6fZwcJ0HLdjQ96WUjQ63Q6jiWNychKbzcbw8DB9fX1lfXa73U53d3eGHja7SyxXsUlExXVswGxGc/jwYSCzcJctuco+l7UwkN9ObHU3Wj5bx/e+97088cQTPPzwwzzxxBO8733vq3T9MPAHkiSdAM7uWdJdXl6mr6+PtrY24wKqpaduoYtSeBTYbDaOHz9edMqwGMNuRjih8B//doKX5kJ0exz89s8OMdSZ2+tAQJZl/H6/ofHN11DR1rhBwCLPmFZ1PC4rFlkqOq7nXSe6mfXHWQgm0HQ41efhoCvNxYsXaW1t5ezZs8zOzpYdQeV733xdYrk6mczeCR6P55aJ5CpBdvRXSuEuV1eYeYdRrEC2U4XQrZ4akc/W8eGHH+aBBx7gK1/5Cv39/Tz55JNlrWvyXbgbOAtMABN7lnSHhoY2RaK19tTNRiAQYHx8HIvFUpJHgUCuqPkPv/8GL82G8DiteFei/M7/eIX//Kt3GIRphsgXT09P43Q6i8rO7hpo5e6hdn46sWY8PP7Nu44AxQtpTS4b/+xtQyyGEoRDQUKLU6ytZrqNbXVzRL5iUyqVIhwOG1IhEcmZrR23w1FsN6DUQlqhc5nLQD7bh8LciLBTxbutdhjLZ+sI8PTTT1e8rgkHgPuBNODZs6SbC7WeHiEQDAYZHx9HlmUOHz5cdv4om3RjKZWXZkO03sid2lwy4USaa0sRLgxmtuT6/X7GxsZwOp0cOHAAWZaL6nxlWeJ/e+8xnp8OEIinOdrt5kBbw43fFZeMJWIRViY3DHBOnTy56YbdKcMbu91Oe3v7pkjO3MUkHMXi8Tjj4+Nb0piwG1AtAZZrIG8ehlmMBGuNUlqAd2s32o1i2reBb4uf31KkW+tIV9M0Ll++jCzLjIyMVJyszyZdm0VCliVUTcdq2SAwVdczNLHBYJCxsTEsFouRwhAtvKVAliXODmy+EAuRbiwWY2xsjFQqxeHDh/Nu2XbCTzcfZFne1N+v6zr/8A//QGtrK+FwmNXVVcP1Kjsq3qtV/62IOosZyPv9ftLpNC+++GKGV0K2gXytUYrZTbWFtK2CruuaJEkHATsQBbQ9S7q5bnKLxVKTSbehUIjx8XGSySRHjx6tqmVWfK5M0pX59QsH+erfT20UtySJ2w80c6LXQzgcZnx8HE3TNkXVtVBB5CJMMVU2HA4zPDxc9Hh3e0eaJG1ok7OjYtHFlG3Mnatdd7cXmrZzqy+8dS0WC7FYjOPHj+c1kIfap3tKyekePHiwqvfYCoicLvAe4AgbpJvcs6S7FRCEp6oqw8PDTE5OGlrbapCLLH/pTB+DnY1cWwzT6XFwts/Fq6+8TCqVYnh4OOd2qRbj081rpNNpvF4va2trDA4OlqxtLlaMy/ea7SzE5HsoNzU1ZTzIcpGHMLFpbGzMkLNt55a6GHYiv2ruRitkIC8Kd7UykDfPKsyFQCDAbbfdVt3BbS3WgRdv/Ldz91xFZaKWkYggW0VRMgivVumKfM0RZw62cLzTwcTEBNdejzI8PJwRmWWjFpGuIEyv12tobfM5reWDaIAoF7uxDbgQeQgizp7Jlsvacbux06SbD/nsHHMZyIvJz2YFRS4HMUVRCgY/u9VLV795wR/Qdf1/Fz/fs6SbD+W0SEYiEcbHx0mn0zmjy1o2NeQy4vF6vQSDQYaGhujs7Cx681Yb6Yrx7dFoFEmSOH/+fEV99Lt9ckQtYLFYco6rMVs7ig4xi8VCIpFgbm5ukym3P5ZmOZyk023PqUypFJqmbXvkXQ3RV2Mgn0qlihbSdiPpSpI0BHQAvyVJ0o+BBUC55Ug3e3R6LkQiESYmJkgmkwVNvGsV6ZpzzcKrQGzpy/GGqPQhYG5s6OrqorGxkUOHDpW9jsBuz+luFfJZOyqKwuXLl43zHI1GUVWVayEL334jiSzLyLKFz/zsIe47XFl9YCGY4PXFCHarzB37m3Yk0i2mIigX+QzkFUUxHmyLi4usrKzg9/szcsWNjY1G7n23qheAo2xIxfYBwvZM37OkW8j0Jp1O5yTdaDTKxMQE8XjcINtinrq1IF0Rfb/6xnVe8S0xcHB/hvNXqSg30hXmO+Pj47S0tDA6OorD4WBlZaXcQ6jqc8DOkq4/lmZiZaPTbbizkZaG2ioWrFYrFouF/fv3Gz8LxtN84YkrOGwWLOgkUkn+6PuvI6256GnzGA0epTQlTKxE+fc/nCSlbpzz/+81Bw8ettLQsL2kq2natjiMWa3WDJPzVCpl2DqaDeTn5+d55JFH0HWdb37zm5w9e5bTp08XTNFl46Mf/ShPPfUUXV1dvPLKKwB8/vOf58/+7M+MB+ujjz5a6Sj27wOLwCrw50Aze3UacCHkIspYLMbExASxWMxoGS4luqwF6SqKwvT0NAv+KP/lmkxUdaBPrzA6k+az7xjGaikvl1oq2Zn1vadPn65JQVAgm0BFhCfMVwSZZD9UdoJ0VyMpnnxhnrSqAzqXp4M8cGdvTbf6uY5rLZpGlmQab5RNnE6IJBV6BkbocmqbmhJytT2La/R/XF3EKkt0uDdM7+cCCa4upLi/Y3u31MWkW1sFRVGw2WzYbLaMXcbJkyd5y1vewv33309HRwdPPfUUFy9e5Hd/93dLXvvXfu3X+K3f+i0+8pGPZPz8M5/5DJ/73Ocq/sySJLmBn9d1/S8kSeoCWoEAMLdnSbdYpAsbZOv1eolEIgwNDdHR0VG2p26lI3s0TWN6epq5uTn6+vr48bKdiGKhw23f0JFO+vnR2CpvP1q6iUYp6YVwOMz169eRJIljx46V3DVXDsyku7q6ytjYmDEhNhaLZXgoiC2hrus1G/RZDq7OhtCB3uaNdunlcJKX58O8daT0aKgYctk6drrtyLJEIq3itFlIpFVkSaK3tZEmp3VTU4Ko+GebAbndblYCUSRdRtOtyJKERZaIpbRtz5MLbe52o1BaQ5hLffSjH63ofNx77734fL5qPl4+uIAeSZIagM/c+FkjsLcnR+TaslqtVmKxGK+88gqRSITBwUFOnDhR0RdSSQ5V0zTm5uaYnp6mp6fHcP5aiXtpdN+U28jyRsRSq88Ti8UMbfHIyMiWFhYkSSKRSHD58mVsNhunT5/G6XSSSqXydoutrq4SCoUIBoPbqgBIKSpWkxewRZZIqxrhhEI4qdDisuU0ai8HuUjX47Ty8D8a4vG/niCcULDIEr/zzkGacgiGRNNGruGYkUiEU90q33/DTyQcRtUhqVno6bUQiUSMeWzbQcA7ZWBeiodvrY//S1/6El//+tcZHR3li1/8Ytk5Y13XV4AvSZLUBHxS13WvJEl2wLKnSTcbiUTCmKF07NixislWoJz0Qnax6ty5cxndTvvdMt6EgtMqo+mgaRQ1uMlGrodMMplkYmKCYDDIyMhIxcMmS4XYPUSjUe644w6juq9pmyMvc7eYy+VieXmZkZERkskk4XB4kwIg2+KxFjf4sR43byxHscoSOpBMa2iazmN/PY4OWGWJj5zrY7irsGlRIeQzMD/b38LXH7qd1UiKDre9bHIXFpm/fE8Lza3L/L13HbtF5v7DzTgi80QiEdbX1zeZAdXSItOMnSLdQtdzrYt7AJ/61Kd45JFHkCSJRx55hM9+9rN89atfrXS5A8CvAf9S1/UU3CKSMbP8qqWlhc7Ozpp46pZCumK6r9frpa2tbZPNosC7hpz81XIjE6sbJi3vOtnNWwbLH30ukD3/rBwVRCWTB1KpFBMTEwQCAXp7e3G5XBlyqlLbgM26WLMCIJfxua7rNDQ0ZJBxud1Nhzoaed+pbl6YCSJJEuf6m/n28wu0umw4rDLRpMJ/e26ef/3zw4YVZrkoNDWiwW7hYFtlM/EELLLEe091895TN6Pg115b5+DBg4YvRiGLzGrOnxk7OaonH7aiBdi82/j4xz/Oe97znrLXkCSpHbgL+CVgUJKk29hIOYzvadJNpVKMj4/j9/sN+dXKygrBYLAm6xciXfMMtKampqKj1JtcNv7N/UNEFRm7VabZVVkFXdd1JicnmZ+f5+DBgxWrIEotaqmqis/nY3Fx0Zg1FwqFiEQilXz8vMhlfC5sCcPhcEZ3k2jbFWSSKz1hPr6hzkZjVzG9HgcdHNaNc9bosBIMJYkkVVorVAPsxGTe7IdmPh1sLjMgu91e0ZTinZCp5dpBmbEVGl1hXA7w3e9+l5MnT1ayjA0YBG5ng2wfZ2OCRMueJt2ZmRlaWloyhk7W0mksXw5VTIoQM9BKUQZYLBZ0TaPTU1nUI3LFIoKptLEBbqogig0+FFMpxAgg8ffbJRnLZUtobtsNh8MZ6Qmz126+92ppsCHLEE+ruGwWwgmFRpuM21F5BLcbSDcX8pkB5TM7F23P4t/ZZkA7EelutZfuhz/8YZ555hlWV1fZv38/v//7v88zzzzD1atXkSSJgYEBvvzlL5e9rq7ri2zkdP8K8Oi6/oL43Z4m3ZGRkS311M1eKxAIMDY2hs1mKzgpIheqaWwQ6YuOjo6qGxugMGnqus7Kygrj4+O0t7dvyk3DzjZH5GvbNQvq5+bmiMfj/M3fXeJayIIi2Rnp8XDvkR6aGpx8eLSPb1+eJxBXcNlkHjp/oOLUAuxe0s2FfGbnwjNBuLL5fL5NZkCpVGpHGjK2knS/9a1vbfrZxz72sYrXE5Ak6UPA24BXgIgkSYeBFSC0p0k3F7Yi0hWuY0BZ5uW51ioVwrhcyLHElIjV1dWy3zsb+QxrhLbX5XIVTJfsxo60bEH9SiDMtN6Dw5PGpSpcnV5nbnGZ0+3gcDj48OEGsDewr72ZZk/+tFAp2Eukmw+5PBOyzYBisRhXr141Osm2wyKzFC/d3dgCzA0bR+Ak0MDGGPYOQNrTpJvrQq9lpBuNRonFYly/fp3h4eGqvtxySFdE1A6HY1NjQyVFsGxkR7qRSISxsTE0TStJ27vVkyNqgVBKR7FAT/PGbqS9tZmlcJI7zxxAVdKGemJmapLrOdIT5agnbgXSzYXsXcXKygpnz541LDLD4XCGReZWSAG3ej7aVkDXdXRdfwp4CkCSpFPAABskvLfTC7lQC5Macweb3W5ndHR0Wz5XOBxmbGwMyB9RC8KsBekKH91IJMLIyEheD4p8ry8H290GbJVA3bj4kSSJlKpjs8hYLTJWy8b2Ojs9IYhkfn5DjqXrOi6XyyjYeTyenNX/nSDdnXhPgXwWmfnMgLKj4nK62op1wQUCgbIGpG4HpI1x7TZd19OSJP0bNrx0PwD8BBi85Ui3mgvRbOYtOtieffbZmnyuQqQbj8cZGxsjkUgwMjJSUIgt1qm2HdPn8xEOh8vy0RWotctYPK0ysRIjpWjsb3XS5am+66nVKWFpamBsOYpFltB1+EfH8pvNCKNuc35QuGCFw2H8fj/T09NG9d8swypWYd8q7CbntkJmQEJBYbbILDSLzYxikW4oFOLEiRNbckxVQtzs7wfOsZFi+JSu64t7mnRrddGlUim8Xi/r6+sMDQ1lkFAttvOQ294xmUzi9XoJBALGxIZix1RqJB9LqYwtR7BbZI50u5HljeOYmZlhZWWFvr6+iuRmULucbiSpMLUe5yfja8iShM0i8/xMkJ8/1mHMdKsUEnCuv4X+Vhc60N5op8NdnkbV7IIlYK7+i+11JBIhnU7zxhtvZJDxbtO07gRyPcwKzWIzE7Hb7S6JdKsppG0hxMUeB9oAGbhLkqS/3NOkWwilEKW5wWBgYIAjR45sIr1SrCJLgdnHQVEUJicnWV5eZnBwMEPyVgylbO0Xggn+6bdfIhBPo+s6p/c3888vtDEz5aO7u5ve3l46OzsrfpBU6utrJt2VcJJvPz/PYijJ1HqcwfYGzvQ3k0irPDcdrIp0E2mVv51Redo/BcBbBls53FVe918+5Kr+h0IhZmdn6e3tNUgkEolkGNkIMt4J74JaoJapoUKz2ER6QpzDRCKB0+kkkUhknENxv+zGnC5kGJh/nY2o978A/wz45J4m3UKmN4WIUlEUpqamWFxcpL+/v2DEVyvStVgsBsnPz89z4MABLly4UDbxlRLp/vunx1mLpnA7rSjpNM+OL3OoIcEn3rFh7Xj9+vWqzNBzRa26rhMOh/MWoLJf8/S1NQDaG20E42mWwkmWQinaGq03HMEqx4/G1piPatzZ50TVdH48vs6+ZicjNSLebOi6ntf0XBjZ+P1+ZmZmSKVSGc0JHo+nPpPtBrIVKADXr183dg1mMyCAr3zlK8zPzzMzM8PRo0eLTsnORi5bx/X1dT70oQ/h8/kYGBjgySefrMqrV9d1IfL9S0mSXgC69zTp5kM+olRVlZmZGebm5ti/f39JpFeLwpymafj9fubn5xkYGKhJY0MhTK/Hsco68VgMSZKw2WyozlYjyqq2qJX9euE05nA4SCQSRoQnJEhut3sTqYQSyg0vAguyLJFOqQTjKTRd5+7B6gypp/0JPDe+eossYbfILIWTW0q6uUgzl5GNP5bmR9eWCC7EGWwK02qaVJytnthNM9l2qgVYVVXcbjdNTU0Z7bnxeJz3v//9PP7443znO9/h0UcfZXR0lC996Uslr53L1vGxxx7j7W9/Ow8//DCPPfYYjz32GI8//nhNjkXX9Tn2srVjIYhIV0CMqZmZmaG3t7cs0qtGgmZubHC73XR1dTE4OFjRWgLFSDcej9NtSzIdT9HS6ECyWFCSCsd7m0peoxgE6YbDYa5du2Y4jVksFiMHnj2cMJlMGoMwPR4PB5utXF2I0dfiZKTLzesLYbqbnIz2t3Csu5H1aIpYWsVtt5ZtOt7ltvOGskGCuq6TUjVaa2xcbkapSgJ/LM2//Z/X8cfSyBL8LfC5dwxxdp8nYybb4uIikUgEVVUzfHaFemInouKdJN1cDx+Xy8X999/Po48+yte+9rWNjs8yA4lcto7f+973eOaZZwB46KGHuO+++2pGugJ7mnTzXXxWq5V0eiOfOT8/j8+3kcvM1V1VDJWSrmhs8Hg83HnnnaRSKaampspeJxv5Im9RDPT7/fz224d5/EeLjC1H0BWVX7itl3ccvVlRrpZ0k8kk8Xic119/nSNHjtDc3GxIhiwWS0b7bk9Pj/H5fvLci1wLSsQWVmi1JHHH47y8KtHgtPPgiXbuPNRCQ0MD15YiXJkNIUsbqoOz/c1lObK97UgHz78+wUIogabBbfs8HO2u3EWsGEol3Z9OrOOPpuhp3mjGCCUUvnNlgZP7PJvSE5qu85wvwHQ4Rp+io5q21jabjUQiweLiYlneCdVgp0i3UCFNkKw49lo8jJaWlgzfhZ6eHpaWlqpeMxt7mnQh91bZYrGwsrLCtWvXaG9vz+v8VQrKJd1gMMj169ex2+0ZvgyqqtbExDubMFVVZWpqioWFhYxi4J9+uJvVaApHDnOdSklXFABXVlawWq2cPXvWOP+apqHrekY3oCzLN7yDZdZjaV5YVhkZdGFxu1hKqzz49k7cNp3YDX2sz+djPRTl4qJGd5MLt7sBm8PJ5akAB1pd2K2lEUuT08rPD1g5dGw/Flmi0507OtR1nWBcQdP1DU+GCm/aUkk3qWhIJm9fqyyRUjZ/D6qm83t/eW3DGY2Na/wPf+Ewo6eHgI3dzIsvvkgymTS8E0QqY6tGxs/4Y/zXl6KkX3uVI12N/Oq5/Xi2YZh4MfUCbJ107obetubr7nnSNUP4BszNzdHQ0GC0zlaDfOPTs2Hu6jpy5Mgmu7laThZWVRVd15mbm8tpSAMgy1JevWu5pGs2Zj9w4ADnz5/n4sWLwAbpi7VsNptBwGuRJPG0itthweOwcm0xhEXS8ThkIwUxsRrlroFWnA6H0ZgRjKeZf2UJj21DIxv0r7MYiHMxPUd7U2NGnrjQrsVmkeltzt/eq2g6f355niuzG450R7vd/JO79hvuY+VAkG5S0XhpLkRa1TnR66bZZSOtavzw2iqL4RQehwVZglA8jdUiE4wr/MLJzRakz076eWEmiMu2ca4SaY3H/3qC7/zGGWDjmnQ4HPT39xuvMXeJZethzURsrvyXikhS4Us/mSOa0Ohuk3lhJkQ4OcW/fMfglqc6ChmYb4U+uru723AZW1hYqIlFbDb2POmKSEs4fzU2NtLf329Ie6qFUB3kQzweZ2Jigmg0WrCrqxbtyZGEwvevBZkPxOi0TfDOY12cvP0MP7i2xnfGJuhwO3jPqZ6izQWyLJfkT2E2v+no6DCmYAhiTSaTRh7XfPG/vBDm5bkwsrSxxnBDgqmpJdra2tF10DUNVdXQVZV0Om28XpIkGuwW3C4biqrT1tZAMK5wqlvmwpF2kol4RutpKp1mKWkjqDlob2rg3GAnHc2NJd2Iz3rXeX4myL5mBxLw+mKEH15b5f4T5d9kuq6TVHX+1+++ztR6DAmJRoeFL7z3CP/12VkjYgV4y6FWkqpGIq3xCye7+LnjnZvW88fS6PrNCM5ulQjGFYPccykJ8nWJmUecm9MTZhlbsfTE9HqceFqj2WnBZpHp8ti5vhwlllJpdGwthRTK04bD4ZqPo3rve9/LE088wcMPP8wTTzzB+973vpquD7cA6fr9fmM7f/LkSRobG1leXq6pp248Ht/0c3MOdWhoiM7OzoI3e7WRbkrR+KPvv8q12TWcVom5Bg8tgQaeCyzjXY3S6XawFEzyxLPT/OZ9gwWnFJQS6YZCIa5du4bD4TDMb270lKOqKl1dXVy5csVQKjQ1NeHxeFCtTl6ZC9PtsRMOhZhZWCLc6OGX7h3l6evrhFI3biLZwpHeZqMAomka4aSCouqcO+DhylyYlXCSTreduw61YrNasN2I1kTO7cpMkKXJNZwWBe9yiOuzK4x26riddpLJJEtLSwapZH83s4EELptspBTcDgvT/s3fcynQdZ0fT8XwriZoRxthpAAAIABJREFUbbAiSRsk+e9/OMnUepy2BhuSJKFqOs/6Anzz1+8o+P0c7XYjSZBSNWyyRDSpcrqvyTiGUuVb+fSwZmvHqampjPSEmYzFtt5ps6BoGtKNR4ei6VgkSk73bBUCgUBVGt1cto4PP/wwDzzwAF/5ylfo7+/nySefrOEn3sCeJ91EIrHJp2Ar7R0VRcHn87G0tMShQ4dyNlTkQjXboGg0ytOXX2NiIcrBjo0hj253Az8ZX6W7yUn/jUaCdred+WCCpVCCQx35C0+FTMxFS3IymcxIkwhiFFu6wcFBhoaG0HXd2Naura3hWw4wOZtg1apit9vp6+4kih1Pg52fO97F5NqGH/Ch9puj0HVd59lJP1dngoCO0ypzvLuRgVYnB1qd2OSNLrDJ9QTRlMr+FhddTU7eWIqwv92NVZbo6WhlMZRk4HA73Y0Wnn/+eeLxOCsrK8RiMaPbSaQnejx2LqU12m6ch0hKpa9AOqIQdF3HH9eQpZvfs8MqsRpJIZt2ASKdm1S0gqQ70tXI77xziD/+4SSRpMrxXg//+ueHjd9Xq5nNZXgu0hO52nUbGhs50iLz2ppCWEsgSRIPnumtyg6zFGy1gXkuW0eAp59+uuI1S8GeJ919+/ZtiiBrae8oSNc83bdUjW+1SCaTjI+PEw6H2bfvAM7JBeKqjqxtHO9GkWpj0KLNskGkmq4VjUByRbqKouD1elldXWVkZMRoSTaTrXhP841g1pe2tLQQjCZw2BU6u3pwWGAhEMOhBXjhuUUcDodBejbdhq5vRIUz/gRXpoPsa3ESTij84I0VLvqCHGh1MtDm4hfv6OHbz8/z4/F1JAlkSeKTd/eBppFOK8i2m1I1WZKw2+1YrVYGBgYyjk+0nc7MzOAMR2hRFa7NylitVoY63bx1uLIbWNd1Dnc4+Pu5lBEFxlIaP3e8ncvTAQLxNC6bhWhK4ViPhxZX8dvuZ4908LbD7SiavonctqJRoVh64v6BIAcbdKKpKD0eG/2WAAsLitHcsRX3QjGPkWq9dHcKe550c6GWka4sy4TDYZ599tmM6b5bCbNKQIwh+p+vLDEfTBJJpJHR6Vds3H+ym8Pdbv7ypUUkNmRGdxxsYV+RiM1MumYNs3n8j0gj5CPb7M/r8/lYW1tjaGiIgREPP51YJ5pUOX6olQuDbTTYLcZAyuyJD8tpB9EopFzw8lwMl1XGYZXZ3+rCuxbnmbEAP/H66W52IksSsaTCE88t8ql7DvBTrx+7RSGRVmltsNPi2HhYiYeFON5c3U5nR1WmlwOEwhEceoLrr72SUXwqtXVX13VG+xpI2jz8+fMLaLrOPUNtfPzug3zw9h7+9CdTzAcTnDnYzifuPljyrkeSJGyWzX+7XWNzzOmJWCzGz/VtpCnM6Ynp6WljmonZM8Hj8VR9n+xFW8dSsOdJN9cFXItIV9d1lpeXGR8fR1EULly4UHUrcDEIQ5psApxej/E3b6xwz3A73uUQy8EYDQ4LD472YbXI9DQ5WA6ncDssHO7a3P2VDVmWUVXV2EZ2dnZmFMmEOkIUbvKtJ0b6zMzMcODAAc6ePWuQwftP96LpeoYMS3gWmC0V0+k01+ZWubqyyNLKKvMrMZIKdLrtBAI6miKzEkkgS5KxlstuYSmcZLinmVa3i78bX2NyPURckXjqpQUOyut0tLYax2E2LxL/yLKM1WJhsLcdem9OUBDRnXAWE627heayiQr7h0f7eODOfWj6zei0t9nJH7znSLmXQkHsxKwys043X3pCTJ7I9tg1qyfyuYnlwh42uymIPU+6uVBt0cqshDh9+jSvvvpqTQhXbNezLzpd11lcXMTr9dLd3c358+czLrZAPI1FknDaLAx1NNBpV0jZbuYED7Y1cLCtgam1GP/t0gxJReOOA82cOdiS8wKPRqMsLS2haVrOIpn4jIVubHGOxATkXDdHKbpXm83GyYFe4pKT56cC7OuKsRJOcrjXRSKZJByJYXWGWVxNMLdqwWW3YLdZOb6vGbtFRgfmg0lGOhpYX1vllaUE7qP7uefohpxK6IfN/waM6yObiM3RnWg7Fc5i2VG61Wo1nLAcDsfG3DlZxkLl+XszFkMJYimNtgZbRlfeTpNuLuSbPJFIJIzzJtzErFZrBhHnGxdfjHQDgUCGjeRewZ4n3Xw975UgGAwyNjaG1Wo1lBCCiGoBEWGaLyTRudbU1MTo6GjOrWyX24EOJBUVWZIIJFSOdLmwmnJ9i8EE37w0Q4PDis0i8T9f2eikGe2/6WMQi8UYGxsjHo/T3NxsTDnNLpIVim4jkQjXr1/HZrNx2223lW0ykg9n+1s50dtEPK1ycXKdl+fCuBod/MboRrHuhfA0ry6ECCRVXEqKE84AFy9eZCFhZXkpRdySpqOjg1Nd3awmbn5f4mY2E4aZgM356kJEnC9Kj0QizM7O4vf7WV9fR5Ik4pIT7A30tHk41N1a0Tb7metrXJoKYJFBQuL9p7sZvFEc3Y2kmwtmj12zekKcN5FfF+mJ7OaOYqN6QqEQw8PDeX+/W7HnSbcWiEajjI2NoSgKIyMjGVuWWoqvRa7ZarUSDoe5fv06FouFU6dOZXi2ZqOn2cmvnjvAty7PkkqlabTCQ+cPZvzNxGoUJMnoPutohJfmQoz2txqeB+vr64yMjOB0OpmYmChaJDMjlUoZUyYOHz5ck23dRuFvw5QGoMFuocFu4d0ne3j3yR7j7759eY7D3R7u7G9B1XTWIml6BpoZatJYePEaumTB7fYQCoXwLa7R5bYzPp7G4/HQ1NS0aUtbjIhzRcTidYYSQZaNsfGRSASr1Upvby8XvetcGlshnY6SuL7O0SYvg82SYQBUaAKFwFIoyXNTAXqbHMiyRDyt8tQry/zWWweQbxQMa3Vd6rrOM2Pr/N3EOg12Cx+4vYdD7ZttNWtJ9OK8md27zOPiRXpC7CYA49yZv8tgMFiVA9hO4ZYm3WLtmYlEgvHxcaLRKMPDwxnTUbcCcVXi9dk1EsEVLGqKw4cPl1wIONPfwqm+JoKRGJNjr9OZ1QBht8ioJkVCWtVptkj4fD7m5ubo7+/n8OHDSJJENBolnU4b010Lka2qqkxPTxsSuXK8fwvhu1cX+D9/7COlaFwYbOWR+w/nFdrbLdINnagVqyyRSKXweSdo6nHxc3efoXk6wqvzYRwNEkPdFu4/2oqcjhtb2ng8bkx7EP80Nt5sonhtIcyTz88TT6vcN9LOz5/oMtQQ4hyI9Ev2z8xFyVBC4fmZEP2dTVhkCUXVWI2mOHn7fvR0ctMECrOaw0wo8bSKLG90FQK4bBYCsQ0Ns9268bnEA+P6cpT/fmWBeFrlZ4baeMfR4kb4Zvz16yv814uzNNgspDWdl+fDfOEXjtDXklmM3WrvBfO4eKHDnpmZQVVVGhsbN6Unvva1r7G4uMji4iLJZLLqRqiBgQE8ng0PDKvVyuXLl2txWDmx50m3kOmNoig5W0VTqRSTk5NGtf3EiRNb3s7442vL/B8XA0CAZo+bz/yjI7S0lBct2q0yrW4n3hyNDcd6PVzy+Zn1x5GBeDzGIT2K2nHTVU2kSqxWKzabjcuXL2dc7E1NTbjdbkO9sLi4iM/no7e3l3PnzlUc6axHU7w8H0IHTvR6mF6P8yfPTGK3SLgdFi56/fzx0xM88q7cBafzg238+eU55vwx1gMBLGqSt/7sMfZ3bzwk33bYyW19zaRVjbZGGw6rBfBsaggQuUWh3ZVlmTAuvnwlgsNmxWG38cTFGTQd3n2q2zhe83GbVR+6rhMKhVheXmZgYIBYIomua4CGpkn/P3tvHh5XXfb/v87sk5nJvjVLs29d0zYtFAVEQBAUBAEVlE3kq9+vUkQUEOWpyoPIgyg/VETlwYdqcZdHAYsIgmxNd2qbZk/a7Pvs+znn98f0nM4kmWzNRsj7unpdtKUzZyYz97k/9/1e0GhARojcAMdJoIhmc0QXFI3Rgt8bZESQSLaaGXAHyUkyqlRApdPtGPHxn7ua0CCg0wr8/K0TjHhDXLYuC5N+agXyxWMD2Iw6lTfc5wqw74Rj3ovueFBc1jIyMmJmt8FgkIsvvpjHHnuMP//5zzz66KOsXr2ap5566rSe75///GfM+Giu8K4vuvEwXtGNNi8vLCxUO7/JEE96ORWIosjhxjYefekENoOGtJQkwoKWx19r44fXrJu2qieemsxq1HHD1pXsa+6mvb2DkgIbW9ZuVjuA6CWZVqtV57miKOJyuXA6nXR0dKiWgqFQCIvFoma2zbTgDrgD/PRfx/GFwoQl+NPBHmxGHYGwSMLJI7ZJr2Hv8fgKwhWJRs7P17K/qYc1JVmctaqQxCgTH0EQJo3iMRgMpKWlxZxmwuEwO3e3ExZdWHQhgh4fsijzpz0trE0KqDeh6Jms8j6Ioqjm6a1atQqr1UowLJJo1jPsCZFo0jHiC5Fk0mEQJMLh8Jg5sZK0O7qguN1uLpCHebFhhLbufjITNFRkJNHVFaFlKTfO2hMOQqIcUf/5Qzh9YXbs6WLAE+Rj67LHFM7xoBEERstkNON8JRai6MZbpBkMBi655BJ+8pOf8MQTT5CWljavoaeni3d90Z0oPSIUCmE2m1UqVmdn54yEDTNJj4i2lQwlpJOSkoxRCgAyFoOO/kAApz9EunV6x6J4BuRer5fmxkZsoshV567HarWq1zHR3Far1ar8Va/Xq1LkiouLCYVC9Pf309raiizLWCwWlUA/VRer3a0jBEWRDJuRQx0OhtxBZMAfkgiFRfQ6LUFRJjtpfPOakZERmpqaSElJ4TMXnTmrHGmdTkdqkhWDwU5S4km7RV+IFLMGjUZDT08PLpcrRupstVrxer3qyCZakWgyaLhiQy6vNAww4AqSl5LAB8rSMBo04y7sINaJDU7Rsc5ITeWMNRHJrcsXpH/EiS/ow9XTw9DQEIIg0O80EgiE8Oqh1xlCq4l4Phi1Gv5yuI/PvX8luvEqaBSurM7msVfbCYQlREnGZtSxtejUnNTuDdHY76FpOMwaUcY0j/u7ydgLLpdL3S2c7klVEAQ+9KEPIQgC/+f//B9uvfXW03q8ifCuL7owfiFSPHW7u7tpa2sjKytrxsKGqTqNQaTIDQ4O0tzcTEpKCps3b8YbFth59AgBUcYgybj8Ycx6LYmm6Rtrj/5wKQsuh8NBWVmZ2slNZ0mmxAiNjIzEzLZ9IZFj7iGGNYkUpSWQn6pV86uUYqQUYlVpNmqc4w9L6DUa+p0BvAGRRLOOZLOeQFjC4QtjMYJeK/DVC2K30IocWZIkVq9ePeGicToIiRIv1w/SMuhhRZKJMwtTeP5IP73OAFoBEOC6M4vIyzs1a1dM2fv7+6mrqwMin4n+/n58Pp/6+o1GI8lmPVdW58R9/tELO+W/lc+XchJRflbvdDrZVTeIIERm25+sKcBkMmE2m8kTDNT2tdBt9+H0hdFoYFWygYDbjj2kwe7ykpY4cRTQWcWpJOi1vN1mJ8Gg5eJVGeqpocfh54EXm/EERJyuMMcCzXz9otIJJcyzicnYC9Gz7dPFG2+8QW5uLv39/Vx44YVUVlZyzjnnzMpjj8aSKLqjoczLjh49SmZm5mn56cL4Sb7jQfHSNRqNVFdXq3QqgwE+f04RP3yxjkFPkCSrjm0fLJmxYYgky+xpG+ZYWyeCz8H51afCLadTbBXLxs7OTlauXElZWZn6/wZFiZ+81k7niA+DTsNbrSNctCqTS9fkkpubq/57r9erzjUVvb6yqU9MTGR1VgIHTthx+EOEZRkpDLnJZkozLAx6Qpxblsa63ETVhlEURdrb2xkYGIi5icwGZFnml2938HbbMBaDjgMnHDT0utn+kXLebB7BGwqzpSCF8lGG50rMk8fjYcOGDVisVoY9QQyE8XkiDl4dHR3qQid6Rh4tooD4zAnleaIL8bAnxAtH+ki36DHotHiCIr/f38NHCyOFeWV6Cg99fB0vHO3ntaYhyjMt5Nj0DDo9aMQAHW1NtAaD6PX6GObEaAOg6vwkqvPH7hd+f7AHf0giM9GINuSmc8THPxsHuXRN1pj/dy4wkQx4tscJymc6MzOTK664gj179iwX3YkQ3ekODw+rHVJ+fj5FRUWn/fiTyYoVypkoimPMdxRsXJnMN87PwR2UWF1SgHGKi47RkCSJF1oC/HvPIYxGAyajiYQ++HhO7Jd2omKrdOOKGm08ccPxIS+dIz5yTs4Fw5LMK/WDXLQqA13UgknhVObk5KiPrRTiwcFBvC4X681+9ro1iCGJ4gwLVoPAkDfMR9dmsbU4Vf13fX19tLW1kZube1qLu3hwB0Rq20dYcVJOnGTW0TbkwRuQuHLDinHfp66uLjo6OigsLKSyspK6Hje3PvEmnkAYjSDw0BVVXFB1qksPBAI4nc4xUufo08BoMcB4CzsAvyuMVqPBqI8oBRP0GnqcAYYdfpISEwmHw6SYtXx6cw5nFafwt6MDDPpEzAkWPrW1mOyTI5PoJeLg4OAYAyBFoDC6axxyhzDpT12TTqthxDs78vqpYCqpEbOxAPd4PEiShM1mw+Px8Pe//5377rvvtB83HpZE0YUIUbqpqQmNRsPq1aux2+1z5jSmIBAI0NLSgtPpnFJXZjUZMGiCMy64w8PDvP1OPf8elCjLz0Cn1RKWZP56uJcPlqdiM+omVZIp/GClGzeZxi5bZFmmvs9Nl8NPSJLJSTKi1QhIssxkDYZiEWixWFTqzyZZ5jKfjwOtfbzcMERXbz+lNhmD3UtLywg6nU61Ydy0adOcya1lZE5OEKJe6/hfWofDQUNDA8nJyepNKSRKfO7X72D3KRJzma89e4znchJVvwuj0Thm2x4KhdSi197ejsfjUW9Y0ayR0UUv1WJEo9EQlMCk19E37MLvHCa9MpuUlJQYWltBsoEbt2TjD8vYTDoMulOPpSwRzbZkRIcfm1ZDtlWHzxtxh9tbf5y2QQ8mHaxZYSMtOXI963Is/OWIF5NOQ0iSkUWJVdlzE+45HkRRjPtZdrvds+al29fXxxVXXAFECv21117LxRdfPCuPPR6WRNFtampieHg4hrTv8Xjw+/2z8vijZcXR9o6KIc1U7rgzlSd7PB4aGxsBKCwpR3f4MDqNFmTQEOls/UGRRJM+7nUojmV+v5+ysrIxyRbReLt1hH3tI8iSTMuAm16Hn+xEI2cVp9Jl92PWa8m0TT0gUZHWvn9NEe9fEzl5KHQrRSFnMplwOBwcOXJE7QrHEzacDmxGHTUFyexpt2MxavEGRYrSEshLOXXjCQaDNDc34/P5VFaCgn5XEH849uen0wg09rknNBnS6/XjehUohbirqwu3240kSTH2kzabjSs3rODPB7ppHRnBIEh84cK1FGTGcruV+bBWqyUhakYc/Vkb8YXZuS/C5xVlKEm3cNWGbNrdGt4e9mM0JBAMi7iHNXw4WcPAwAB5opMyc5AjA15kUeLqtYmsypyZ/eVMEe9n73A4JvwMTwfFxcW88847s/JYU8GSKLpFRUWUlJTE/JmySJsNRNs7Ko5cM2FBTHU2rEApAE6nk/LyclJTU/GHRGwGgX6Xn0STHrsvRF6KiXTb+MVJyVDr7++nuLh4UrN1iAQo5qWYWZFkoqHPTbcjwOocK7vbR3jhaB+SHAl/vOWsqTtmRUOxyezt7Y25pmjuqtPpjBE2RBfi0XPSqUIQBG46ayX5KWZaBjysSDbx4dWZqi1mZ2cnnZ2dFBcXk5mZOeY5Ui16RrP1wpI8YSxQPESzRqLfF4/HEzMj9/v9bDKEsFakUpyfQ2rSWNn1VBR2/2gYIhgWyTy5JGvodVLXk8DL9REFn3L66rL7CZuSKc+PzDi31Mg4HA7q6+vJSJepr68nGAyqYhPlJjHTn8lEmMxL991odgNLpOjq9fpxPXVna7yg1WoZHh7mxIkTMY5cM3mcqXS60WGT0Z20LMvoNfDZTSn88YidEYeWkowEbtySRYRteepDKssyPT09HD9+fMYzUpNey/q8JNKtfloHfQx5gqRbjEiyzMv1A6zPTWRL4dRlmNGz5KysLDZv3oxWqyUQFvnzoV7+3e0k3WLgU5tzKSk5dTzvGXHT0DVEe8cAhzpbCITCnJFjYGtxqlqMoxVmAJ5gmF5HAKtRR1biKVqeQavhklGLILvdTmNjIykpKWzZsiXuRtys17L90nK+/UIjOq1AWJL5VE0uFbOUNBwtVHG73TQ0NJCenk5OTk7E+czpoLsz4nqmuHcpr38yqbM7KGEzG1SRjEGnxeENEhJFNGiRlM+lJBESJZWXrvhOWCwWtbGJNgByu90qi0MxvVEKcTwjm6lgskXZ6aZGLCSWRNEd7444W566w8PDtLW1odVqTzvocrKiqxTKtrY2cnJy1E56tN3i+zauYWu1pHaEzsEeutubAFQp4/DwMHpLEvXSCv5xxM+Kjg6uqF5BmmXyeen7SlL5R/0ANpOOQFgi1WKgfchLojFCB9MIAsgC3Y6pj28UoxyDwTBmlvzU2x281TpMkklPr8PPA3/z8p+XV2Ez6ehx+PllbTeDnhBvt9rRaQQyrAn8uV0iPcvAGmMgJh3CZrPhlE38fO8wAQkk4PJ1WVy1IWfM5yQQCNDU1EQwGJwyLe1j1Suozk+ioc9NbrKJNTmzc8RVIIqiGgNVWVmpHqGTkpLUOHvlRKAs7Lq7uyeVOpdmWtjdOoI5SUtYAgmBoswkREHHWy3DpJi1eEISCUYd2VZ9zHhCkYuPLsTxDIDcbrfK9lBm/NNNKZ5MjPFu9dKFJVJ0x8PpeuoqCyeNRkNxcTFut/u09d0TFV3FbSwpKSmG4hbPbnG846mSaxYOhzGZzfzm8BAj/kFSLUbqnDp6R9zc+aEKTIaJf+xbi1OwmnS0DHiwmXScWZSCwxficJeTDKsRUZIBmbzkyR3GFLMdZUQy+kgYEiV2t46QZTOiESLBlP2uAM0DHjbkJ/FywyBajYAnEEariSRlCEKk6/xnm5ePbFwd81wul4tHn2vG6Qlg0sgIyDzztpdsnZ91Bek02yXah7yEvU6yGGFVeemURi7RKExLoHAcU5jTxcDAAC0tLeTm5qrx9uMhWs02ntTZ6XSOuRGVJVgZStXTPOxHp9XwkbVZFJ6cZ5v1Gpr6PeSm6Di3PJ00i0EdS7hcLpqbm8nMzFQLseI5Ea2wg/GNbOKlFCckJMTMr0cvT5eqgTks4aI7007X7/eryx3FkMZut2O320/7msYrusoxUqvVsm7dOhISIl/m6YobWltbVYFESkoKw54gQnszq1YYcXh8uJ0+jnWN8LfX95Bj1apH02i/BQWCILAuN5F1uae6uM+9v4AHdjXR64ykMly8OpNNK+PP1KJnpNFmO6OhmJOLkoxGK5zs5lETE7yBcEwsuoCAJMnIJ4tvNPR6PckpKTjDWnLSU06OZCRCdh+DnhB/rG3mX20utLKErNVSnJHImlX6WSXZzwR+v5+GhgY0Gg0bNmyY8c09ntRZWditsXpZKbvRCGByBTlxwkliYiJnFibzvpJY5o0sy7S1tTE8PExVVRU2m21aTmzRzcF4MUCK4fl4BkAKk2O5013EmA1PXaVwDQ0NUVoa2/3M1qgiuugqbALFKlHpDqYrbujo6KC7u3uMl4RBpwEZToz4eLNlmEBYQpJlBH0i2y8tI90oxfgtABMW4jSLgQc/VkW/K4BJr51wTKFwpdPS0uIanKvviUbgyg3Z/HZ/N3pNZE5ammlRBQprchLZVdfPyhQzx3pc+EMiYaMWKSzx8eqx3FqNILAy1UyPM0BqgoGwFPn5leVl8qOX68myGUhPS0WWZToGPexv6CBZ4zsZ9mmdtsz5dBC9UJxtIYgCnU43bvep+Nn29PTQ2NioqgttNhuCINDd3U1OTg41NTVjeMQTLewmU9gpRdkygQGQ2+1meHgYr9fLgQMHxgg7NBoNTqeTwqgMvHcThEkG1u8KFwlJksYdJbz11lucddZZE/5bxbqwu7ubgoICcnNzxxQ5v9/P0aNH2bRp02lf5+7du8nKylLpZllZWdNWksmyzMDAAK2trWRmZlJQUDBuV/D8kV6+9VwDgbCMRogsTwQBzitP59sfrYwJPIw2vlE++DBxIR4Nn8+nUtvKysrUrn0yyLLMwQ4HDX1u0qwGzilNU12yJFnm9eYh9rXbcQdEQpJEoknP+ZXpbFo5fqfT7fDz0N+bGfYEkWW4sMhAicHF708YKchIUv17ux1+bt66kvIsK5IkqYVIeQ+mInOeKex2u7ooKywsXNBOGyKfTafTqdLljEZjTF5ctNR5soYm2oktuhhHY7RR/GgMDg7icDhYuXKl+nl0uVx4vV6+853v4Pf7qamp4brrros5Ic4Eu3btYtu2bYiiyC233MLdd98948eKQtw3aUkUXWWbOhpvvfUWW7duHfdDEm1Is2LFiriFCyJHtP3793PGGWec1jV2dXVRV1dHeXk5K1euVJdk0R/MiYotROa2jY2NJCQkUFJSMuFRtMfh47r/PoAnKGLQadBrBIKizNpcG9/92CqSzRMXkGguqdPpjFuIJUlSgynLyspi+KizgUMdDr7+l2M4vGGyk4w8dMUqSjImXnqFRInmzj56TrRTmJtFQUEBfz3SzxvNwyQn6PAGJJIS9Nx2XhHmOGIVhcIVXYhHy5wnMyQfc12hEE1NTfj9fiorK0+rWMwWlDzA1tZWCgsLyc7OVhsBJS9OeQ+ipc7K658qXSzeeEJBdCHu7+8nEAhQUFAw5nFcLhe33XYbpaWljIyM4PV62bFjx4xeuyiKlJeX89JLL5GXl8fmzZt55plnWLVq1YweL/rlxPuLJTFeiAflOB99TBzPkGayL83pZq4NDg7S1NREamoqFotFPRZNJ5NMMVwPBoNUVFRMSY2TmmDAoNMw5AkSEiUM2sjRLs1iwDIF05LxlnXRhfjEiRO0941wpD9IQoJyuVg4AAAgAElEQVSZ81fnoNPpZjVlwO4NceefjhISZRIMEeOc2/9whD/dunlMNLkCv99PY2MjsiyzteaUB8ZH1maRbNbR1O8lNVvPBZUZcQsuxFK44smc29raCIVCYwrx6JthNIWvqKhIPeEsNPx+P/X19ej1+jFqQEXUEp0XB7FS597eXjXhYTRzYvRnYKrRSbIc4QYnJCSMscSEyE0/HA7z2c9+lrKystN6/Xv27KG0tJTi4mIAPvnJT/K///u/s1F042JJFN3JjMyVohvPkGamjz8ZXC4XDQ0N6PV61q9fT0JCAkNDQ9MaJSjqt8HBQUpKSkhPn3oywJEeF0lmPUOeIIGQREgUWZebyOfeXxC3YE0GpRALgsChlm4ePSwTlo3IssTfT3Rxz1kudGEvML3RRDy0DXmRZdRlmtmgxe0X6XcFyB3FnpAkiePHj9PX1zfujFSn0fCB8gw+UD6jlw6ML3NWOkKn08nIyAjHjx9XubSJiYno9Xr6+vowJyTQps1l52v9JBiGuWhVBueVTy/pYbYgy7K6D1CEN1PFRFJnp9M5Ruqs3IjGkzqPLsQ+n4+6ujoSEhLUjnu8hV1fX9+sLNK6urrIz89Xf5+Xl0dtbe1pP+5EWBJFNx4U2pgkSTQ2NhIOh6moqJg1+WA8KF2p1+uloqJCpUkpxbavr2/S+Zgy/jhx4gR5eXnTEjd4AmEa+z08e6iXlAQ9F1Zl4gmGcfnDbMxPoiB15kfaaG7ra4NmQnIY68mYHVcgzD6nhW3nrY3piKe6rBsPKQl6wpKMIKCyHCRZHmOLqZxesrKy5sQsZyJEd4TRXFqPx6MqCgWdkftf7qfN0Y8gQKJRy5DLh9Wom5bAZDbgcrmor69XfSVmY548mdS5s7NTNZaJ9pyw2WzodDqV7dLV1UVFRcWY7DOl8Pr9fh555BE6OjpOm8K5UFgyRXc8T11BEGhubiYQCMzZdjga4XCYtrY2BgYGKCkpUaWk0Z1teXk5Q0NDHD9+XD2WKh8+UZ+ARqsFv4vWlhZSU1OpqamZ1vJmyBPkey82M+wN0mX34Q9JbClMwWbU4w9JaoGcLqKz0pSO+4ljh2NMsgUhEs0Dk48mplqIC9MSuGpjDn840I0gROhkX/xAETZT5HX4fD6VbhXPwGchoCjvcnNzWb9+PU+80c5x13EEIXIDsftFmvqcPPfWEbRDpz4DpyNzngyiKKq+yfHc8GYTk0md+/r6aG5uJhQKqd+F4uLicUUqGo2GQ4cOsW3bNi677DLa2tpmZamZm5tLR0eH+vvOzk7V5nGusGSKbjSUI/nAwAA5OTlUV1fPirN8vFmlcpdWutIzzzwzZkmmzKkEQYjhUSrzwRG7g1++dZxD3ZGonFyrhhu3rJjWKEHBXw73YvcFWZFkItGko7bdTl2PiwybkQS9hgurMid/kFGvTWFKZGdnx3SR7ytJpaHfjSidXAIC7yuOf0ydaSH+f+cUcG5ZGj0OP8XpCZRlWlXf3cHBwTlZ3s0U8Ti3hzpdEYczQTgZOCnhDmtYW1HMmjXp6nvQ19eH1+tVPXATExOxWK3ojWZMeu2MP8fDw8M0NjaqNLCFmidHz8llWVaZQwrd0W6309FxSurc1NSE1+ulrq6Offv28eSTT7Ju3bpZu57NmzfT1NSkWor+5je/YefOnbP2+ONhyRRdQRAQRTHGkKawsHDWXKqUZVp00Y1eyqWlpbFlyxb17juVJZkyH9zX6ebffQHSzBqSk1MZcIep7RV5n9CnegNHc0gVqe94GHIH1eWQxaijMstCSoKBD1akU1OQTKZt6kcyRbhhMpnGJe1ftyUPhz/EXw/3oREEbj5rJRdWZcR5tPExUSE+0jFER2MLZvyssGjIt9kwBxM5fnxI5ZFu3rx5XkcJ8TAZ5zY/2cjek/aYoiQjSpBg0HB+ZXpcSa3T6WR/2wB/ONyKNxgmy6LlmrUp5GemTNnbIBQK0djYSDAYZP369VPeY8w1PB4PdXV1Y/wuosczfr+fd955hx07dmC32zEYDNxxxx3s2LFDnaefLnQ6HT/60Y+46KKLEEWRm2++mdWrV0/+D08DS4IyBpGBeGNjIxkZGRQVFaHT6ejs7EQUxXFpJ9PFgQMHqKqqUj+0iuTWaDRSVlam/vl0lmRKIsEzezvpDJjJy0hEAFz+MOlWA18+P2IwEn0ki+aQRneDNpsNjUbDi3X9/HZfF9lJpogxuDPA595foJqFTwXBYJDW1lZcLte40t35wB8PdvOHA91oBAFJhk9vyaEmU0NLS4uqIFO6ptNd1p0upsK5HXQH+cwv9zPgimTEmfVabjuviGs2xT/KDrgCPPBiE0lGHWaDll6nnwyzwHVrbTidTnVZFS/NWTGFX0xsCWXZ2d/fT1VVVdz9SiAQ4MEHH+SNN97giSeeUINU+/v7SU1NnXPhyixg6VPGNBoNGzdujJnp6XQ6AoHArDy+woRQ6EiBQCCmIE1X3NDX10d7ezvZ2dmctb6C3x3oAVlGBtyBMNX5pz6M0V+s6KgcZVvc2dmpHstzrFa25OjZ2+1Fp9PxseoVnFk0dlFT1+PiV3s68YckLqhM58OrM2OWGYWFhTGhi/OJAVeAPxzoIcViQKcRCIZFnny9lYR1WqpXV6lLltla1s0U0ZzbtWvXTsi5Tbca+PVNm/jjwW6c/jBnFqVMeiOMSK4jjA2ALJuRbmeAnLx8Ck6yT8LhMG63O0ZdqIiFTCaTKmVfDAXX5XJx7NgxVakY7+eyf/9+br/9dq6++mpee+21mAIb7TXxbsWSKboZGRnj2jvOlqeuRqOhra0Nt9tNWVmZOm+VZZkRT4BgWCQlQY/25AfpaI8Lhy9MQaqZvJRTRzq73U5TUxNWq5WNGzdiMBjIkySaB7280+lEAArSEsbYD453PUlJSTFdqFKELrE5OSvLgdvtRuc/QUODXS1CFouFtiEv3/xrPcgyWq2Gn77ejt3ppEQ7THp6+oT2hvMBpz+MVgM6QSAQCJzs6PSUrVpHSsqpwjaTGbFy8zqdQjxTzm2qxcDn3l845eexmXRIsowkyWg0Ap6giM2oi1le6nQ69T1QaGBdXV1qTJWyrFoImbMCSZJoa2tjaGhI9XEYD36/n+9+97u8/fbbPP3003N+zF8oLJmiOx5mwzNBMS7v7+9nxYoVMUuysCiyY3cHrzQMgCBQlmFh23lF7NjTyevNw0S+GwJfOq+IdVkmNUetqqoqJpFAp9Fw89aVDLiDhCWZTJtBzSGbDqKL0MqTf6YYnjidTtra2vB4PLzcIeLyimRYjQiChD8U4Pl/9/GL6zdNeebnD4m8cLSPE8N+itLMXLw6E6Nudgp1dpIRvQa6BkewGrRgtJBhMpA5BbPwyQpx9KlgJoVYmXNbLJZpM0umi4JUM+eVpfFq0xAaTcQY6Nb3RYzjg2GJkCSRcHK5ptDA4nkCKzJnxRx+rmXOCpxOJ8eOHSMzMzPGx2E09u7dyx133MEnPvEJXn311XfD+GDGWDIzXVEUxxRYJTCyurp62o+nbO2bm5tVErjNZiM7O1tdkr3VMsRPXz9BVqIRjRCJc6nMtnK4y0m61YBGEPAFQzjcPm5fr5kX2tpUsHPPCXbUdmLRhBFFkYAI6Qk6vnFeltoJTURbkmSZR/7RQl2vC4tBhycosjbHxrYPFke8dk8Dip/s0Y4hdnUbGPFL5CSbuOP8EvJTZm8JNJnEeXQhjudzO9eQZZmOET/uQJgVSZGI998d6OZPB3uQgfW5iVxWKON3O6dNA5sLmbMC5f2y2+2sWrUqrlexz+fjgQceYO/evTzxxBNUVVVN+7kWKZb+THc8zHS8oCjXTCaTOic+fvw44XCkSClz2xMjfvRaQTVQsZl0tAx6T9oVgs/nxePxEsJI9aYaTPq5ebuDYYlf7+mktn2EBIOWa7fkURPHDEaWZdamgl4K4pH1GAwmDMCt5xWSlqbF6XSq0k4lJkf5pTBBep0B6vvcrEiM/D7RpONoj4tBd3Ba7IjR16UsfvLy8rj8vDP4mCAQEqUZq+cmwohPxBU2kJm5QlUkxeuI9Xo9breb7OxsNm3adFqjF4cvxB8P9tDt8LM2J5FL12ZOeKoRTrqmKahtG+EPB7pJtRiRwkHerO9GL6bw1UunTwObTZlzNOx2O/X19axYsWJCelptbS133nkn1157La+88sqS7m6jsWRe5WykRyguWaFQKKZrkGUZnU5HR0cHoVCIpKQkbDYbK5JMkZTUk7QwdyBMVbaVQydG6O53YTMbkAxWVmda56zgAvx2fxf/ah4iK9FIICzx+L/a+cbF5RSlxy52lFiapKQkfvKZGl5qGMYXFDm7NI21J71zoztxRWPvdDrp7u7G7/djNBoJ6iwEg0FEURfzRZlpj6sc2c1m8xj9/1wU3F11ffx+fw8aQcCoF/jyB0soybCMGU0ovgSiKJKfn4/X62Xfvn3AzEYT/pDIN/9aT+eIH4NOYP8JO112H//33KIpX3tjvxsB8Hki44GsVBudXs2sLcpmInOOVpa1tLTgdrsndP7y+Xzcf//9HDhwgJ07d1JRUTEr1/5uwZIpuuNBmb1OBsVLd3h4GENaHn5LAh1umUrLKTOOjIwMTCaT2gW5XC6MCBRZBJqGghh0OtKtes5IdFBRoeeFE3pcAYmKbCu3nTf1L9VMcKDDQZrVgFYTSV5w+MI0DbjVoqvIkkOhUEwszU1bJ872Gq2xVzxP7Q4HhYkujvUOo0cmhIa12QngdxI0Jk35OBoOh1Xz9fmipnWM+Pjtvm7SrQb0Wg1Of5gfvdbGIx9frRauyTi3M50RN/S56XEESD8ZDinJMv+oH+Tms1aqVpYTQZZl9KIXp9uDLSUBk8nEsCdEeeLcymHjyZz9fj8ulwuHw0Fraytutxuz2UxGRgYul0tNuIi+Ibz99tt89atf5TOf+QwPP/zwgltaLgSWTNGdaSptR0eHmm7QIaXwxFsRSaAkw4WV6Xxi0wo0Gg0ajWbMgiYcDlNe7qT+xADdff0kap0YSaAqK5EzyhKxJSaSMEeSzmgkm/UMuAMYdZGbjCzJWA26mCTgkpKSGIOSmUD5EmWbTHzjYxm8WNfP8WEvuYl6arJ12O12Tpw4QTAYVOXNyq/oBY0sy/T29tLe3s7KlSspKyubN0rTkDuIViOoHXSiSUevw08gLGHSa2M4t/F8CY71eXilYRijTsOla4pZnWKeUiGWJBl5hmsSn89HfX09VTYDW0qzaOjz4PWESDTpuOmslZM/wCxDEATMZjN6vT6Sx6fXq5l+o9Oc6+vr2bNnD3a7nd7eXnbu3EllZeW8X/NiwZIpuhNBOf5H/16JuM7MzOSMM84gJAnsfOUdUi0G9FoBSZT4R8MA55ank5s8/tZcEAQcdjta/wjnbqggIyNDVRIpHzrlSJ6UlKQWoNk26rh2cx7f/0czvY4AMpHkhXxzgD179pCTkzMnBjAGnYaPrsse9+/izQUtFgtGo5Hh4WGSkpLmfPs/HjJsRmQ5Mgc36DTYvSHSrUY0skhdXcOknNt9x+18+4UGZBlkGV6uH+QHV68mN9k8OWvC4cIoBukc9GMyaAlLAheuysIdENndNoJGEKjOT4wx81Gksj09Paob2OrVEo19HkKiRGmGBcsM/TROF0NDQzQ2NrJy5coYTrfJZIo5HTmdTlpOeonk5ubyqU99ivvvv59LL710Qa57obFk2AvxjMx3794d07EonYzFYqGsrEwtgEPuAHf+8QiZJ49+CAIDrgBf+1ApZZmxx/DoTi0nJ4f8/Py4RS06udXhcOB0OiftBGeCfleA5n4PYsiPwdWNzZJAaWnpjDbPc4FgMEhDQwNOpxObzUYgEEAUxSnLm2cTrzUNsqO2EwCbUcd1a62ERnrGcG5bBjz8u9tJoknP+0tTMWg13PGHI7QPeVXjoCFPkKs25nDT1ql1m8NuP7/a3U7nkIeVVpl8c5Bn6kMEZQ1arY7MRBPfvmwVaVZjDA2sqKho0RzFFVFIIBCgqqoqrsmQx+PhW9/6FnV1dfzsZz+jtLRU/bvRjdASxNJnL8T7ASoMhkAgQGNjI6IosmrVqpglmSRJWA0CWTYj/e4AaQkGnL4QZoOWnFHc0JGRETW1d/TSJ951jU5uHd0Jtra2nnYBSjYKJAd68Xq9lFeUzxulaTJECwkKCgpYs2ZNzOxUkTdHZ3WNVpRN532QZZmwJE+4gDu3LJ2alcn0DjsZ7GzFio6SUV33681DbH++AUmKFIeqbCs/vHoNYUmOocUJQEicem+SajVx2wWnjtb/3z9bMVnsZBk1hMIhekc8/Pxve9iaGWHI5ObmTjuteC6h0CijEyZGQ5Zl3njjDe666y5uueUWHn300TE/w9l8PTfffDPPPfccmZmZHDlyBIgY/HziE5+gvb2dwsJCfve7342xi1woLJlOFyLd1OjXc/DgQbRaLR6Ph/Ly8hiHr9Gy3SFPiJ+/eZyWAQ/ZiUY+9/4C1XvW6/XS1NSELMuUlZXF5R3OFEoBUrphl8sFnJoJJiUljWtwoog3urq6KC4uVu0kFwMUf4rExESKi4un1M1Hk/jHex8mkvYe7LDzg1dacfnDlGZY+NqHSsmwjh3lTIVze/nje/CGRHVO7gtJfOPD5YREicf+2YZRrzkZRQ8PXbFKDdKcLr7zQiNddp9qVdk74qUowc/NW/NJTk6eMo94rhEKhWhoaEAURSorK+OOyNxuN//xH/9BY2MjP/vZzygpKZnza/vXv/6F1Wrl+uuvV4vu1772NVJTU7n77rt58MEHGRkZ4Xvf+96cX0sUlnZGmoLooqtsoFtaWsjPz1eXNdGJpfEyyaKPPtHx5qWlpfNqIRgdFql88bTaSHx6UlKSapiTlZU1YcbbfCMUCtHc3IzH45lytNBEUNJrowvxaLMbt6jj9j8cRa/VYNZrGPGGKEhL4Psfj5WSDgwMqD63eXl5cW9QH/zhW5j0GrWrdQfCfPmDJVy2Lot/1A+wq24Ag1bgU5vzYqLqp4sX6/p5uraTFLMWp8uNMyBy10WVbC0b6zEwXUHHbEHZfyhBquNBlmVef/117r77bm699VY+//nPz6v5UHt7Ox/5yEfUoltRUcGrr77KihUr6Onp4QMf+AANDQ3zdj28F8YLcMrztq+vj5aWFrKzs8nNzSUlJUUtuFPJJFMeR+kgCwoKYuLN5wvjSVpDoZDqb6vkv42MjCCKotoRTyWxdSo41uti/3E7FqOO8yrS4wZZ+kMiO/d28U6nAxMh3pfmY/OqYiorK2fNVnO0z0S0vLm9vZ19HU5c7jApCXqCso5Eo5a2QQ++kIhZr43rcxsPNQVJ7Gm3k2DQEhJldBqBtbmRePILqzKn7UsMJ8dKJ7tnRRBxQWU63f1DvFjXT6I1gevPLuDM0vFZJvEkzsoN6XQlzqMRDAapr69HEIQJR2kul4v77ruP1tZWnn32WTUDcCHR19en8oyzs7Pp6+tb4Cs6hSVVdEdGRqivr8dms1FTU4PRaFQ359FKsunEmy+0+Us0QqEQbW1t2O12Vq9erX75okUMXV1dBAIBTCZTDGNiugu12rZhfvjPNgRAlGRerh/gPy+vImmcwvvT19t5vWkQnegnjJbBgIVzzprb7C+dTkdKSoo6p9NluPhrxzF0egFJFHH7AoTCIocP7kcjCPj9fkpKSlixYsWUruubH67g/r81sve4nUSTjjsvKKE4feYjJYcvxPf/0UJ9nxutRuCGM/M5t8hGfX09Z2Qa+fT7zprRMnW8G9LpFuJodaCSgBLv/3vttde45557+MIXvsDjjz++KLyNR2OyhO35xpIqul6vl9WrV6tmMoqSrLOzk3A4rM5F4/0AnE4nTU1NmEymRRX9Ep2XNh6vdTwRg9/vx+l0Mjw8THt7u0rZimZMTCS7/M3+bix6rUpH6nX62dM+MqbD8/j8/LOum0SdjC058piD7iBNfW42z2P2V2WWlfMrMnilcRCNoENr0LHtnExkTzcmi4XU1FQGBgY4fvx4XHlzNGwmHd+7YvYSYZ94vZ36XjfpVgNhSeKn/2zC2SVwYU3VtBY8sizzevMQDf0ecpNMXFCZgUEXW+hOpxCHQiGOHTuGXq+fkNLncrn4xje+wYkTJ/jLX/4yK57Vs4msrCx6enrU8cJisoRcUkU3Ly9PHR8oS7LMzEzMZjNOp5PW1lY1CkU5iitLFCVLrby8fM6zo6YDhS2hxMVPRZ+uENfNZrM6g1OCEp1OJ/39/TQ3N8c1QocIj1UbZSGIAIGwpP5WjSjq6MBo0GO1mtEp4gx5buS7k73m/3tuIR8oT2fA5QVnP4mhQSrHkaPGkzePLsSziaM9LlIS9IiiiMftQpI1WFeUTHuj/tTbHTx/pA+dRiAsyew7bufrHy6b1JVuskLc0dHByMgIwWCQlJQUkpKS8Hq9YzpiWZZ59dVX+frXv84Xv/hFnnjiiUXZ3V522WX8z//8D3fffTf/8z//w+WXX77Ql6RiSRXd8TLJRh9DITKrcjgcqhdBIBDAZrOp4obo2PaFgs/nU6N6oqW7M4UgCFitVqxWq2puojAFHA6H2v0IgoDNZmNjpo6/NblIthgJiTJGrYbqvMgXVnnfUlJSOPOMM7AnDvL07g40AoSlSNe5KmdhblwpuHAOT+xzO16EuHIyUDpBZUSjFOGkpKnLm6MhyzKuQGTW3DnoxChEqIFBn0iqZXoiGXcgzN+O9pNuiUi+ZVnmSI+LtkHvGC75VKAUYqPRyODgIOnp6RQXF6vvRXRHvG/fPpxOJ3V1dbjdbv7617+ycuX8K+HGw6c+9SleffVVBgcHycvL41vf+hZ3330311xzDU8++SQFBQX87ne/W+jLVLGk2Atf/epXsVqt1NTUsGnTJmw2W1weYXS8eU5ODoFAQKVrOZ1OlTerdMPzRc9RAhcHBgYWxApSFMWIsYndwQt1Axzo8mHWC1y+OpWqFYkMDQ2ptKHoG8GhDgf1fW7SLHrOKUubNW/dqcLtdlNfX4/VaqWkpOS0xSbRIxrl13RFLZ5gmO3PNbCvfQR/MIRRr2NFcgKSLFNTkMwd55fEniYmgd0b4tad75CWoFc/10OeINs/UkFV9vRvcrIs09XVRWdnp6p2Gw/hcJgdO3bw61//Gq1WSyAQQBAEnnnmGYqLi6f9vO8RvDcoYw0NDezevZva2loOHDhAMBhkzZo1bNq0ic2bN7N69Wr+/ve/k5SURGZmJkVFRXG/NNFdYDRNKXoskZCQMGsD+ujlhUJnWizHtkAgQGtrK/39/YQ1Rux+kQybkZz05BjGxEJgPn1uo922lF8Tzcof/nsj//tOD2YtGExGPAGRqzasYHNhCuvzEqd9Y5Jlme+80MjhLidWow5vSCTDauDhj69Ww0inCp/PR11dnarMjLcsdjgcfP3rX6e/v5+f/vSnqg2m3+9Hp9Mt+IlwEeO9UXRHw+/3c+jQIXbv3s0//vEP3nrrLXJzczn33HPZvHkzNTU1FBQUTLm4hcNh9cvmcDjwer3qLFApxDMpPk6nk8bGRiwWCyUlJYtGuguRmXJjYyPp6en0SIn84J/tJ30HJG7ZnE5FUkRbHwgEMJvNMYyJufZVmCrndi4RrS6MPiVpNBoeeNuDW9JhMRkQBIERbwiBiG+FTitw5wUlfLBieiZEnmCYX+3ppL7XTV6ymRvOzFddy6Z6vR0dHXR3d1NRURF3pizLMi+99BL33Xcfd9xxB9dff/28NwE/+MEP+MUvfoEgCKxdu5annnpq0Sy3p4D3ZtFV0N/fzzXXXMN//ud/UllZyd69e9m9ezd79+7l+PHj5OXlsXnzZjZt2kRNTY3K650Koo+gDoeDYDCodj6K7268biAQCNDS0oLP51t0Czy/309TUxPhcJiKigrCGj03PX0Io1bAqNcSCEsEwhJPXV9NokmvdoGjRzSj34vZoN9Fc27Ly8sXrMseD0oHqdPp+OXREPu7PJi0kZyzfj8k6DRkJxkRZYGQKPOz69bHmJTPJTweD8eOHSMpKYni4uK4Pwu73c4999zD8PAwP/3pT9Uw1PlEV1cX73//+6mrq8NsNnPNNddwySWXcOONN877tcwQ7w1xRDxkZmby6quvqr+/+OKLufjii4HIGKG9vZ3a2lpeffVVHn74YVwuF1VVVWoRXr9+fdw7bDxfBYfDQV9fnyodVubDSUlJmM1mOjs76e3tpbi4eFFp66O9ZKPtINsGvcgyGE8eY406Df6QxKA7SKJJH+O5qpDSx/NWkGV5xmm9k/ncLiSir03pIO8q8nPb747g8IVAktEGg6RbdSpvPCDCvw7W84GKjDlNLpZlmePHj9PX10dlZWVc32JZlnnxxRfZvn07d955J5/+9KcXdMQVDofx+Xzo9Xq8Xq+6AH634z3R6U4XoVCIf//739TW1lJbW8vhw4fR6XRs3LiRjRs3UlNTM+EcbDSUuHSHw0F/fz8OhwODwUBGRgbJyckkJSWNyxWdbwwNDdHU1ERmZuYYWbE7EObGpw+i1wiY9Fr8IZGQKPPfJzvdqUKhKSkdsdvtVmflSkc83qw82ue2sLBw0QhWIDIeqq+vJy0tjaKiophC5QmEOdbrRiPA9ucbECUZk16LJMl4giL3f7iQFaaw+l4o7JHo9ObTKXxut5tjx46RkpJCcXFx3McaGRnh7rvvxul08vjjjy+KAvfoo49y7733Yjab+dCHPsSvf/3rhb6k6eC9PV44XciyjMvlYt++fdTW1rJnzx6am5vJzMxUu+GampoJo7jdbjeNjY0YDAZKS0vRarUxYwmfz6dSlJS56HzNdv1+v9qFlpeXx00E3ts+wkMvNSNKoNHA1y4sZcssCCCiZ+VOpxOPx4Ner1cL8NDQEKFQiKqqqrg+twsBURRpaWnB4XCMSXgeD/uO27nvufrIv5VkLl+XzRfOKYz5zEzktxFdiN+8eEYAABTBSURBVCe7QUuSxPHjxxkYGJhwwSjLMn/729/41re+xV133cW11167KBa4IyMjfPzjH+e3v/0tycnJXH311Vx11VV8+tOfXuhLmyqWi+5sQ6GdKd3wnj17GBwcpKysTKWsbdy4Ea/Xy969e8nIyJgwkkbx3VU6QIfDQTgcnpOZqALli9nX1zfl47onEGbAHSTDaphT8+xAIEB7ezu9vb0YjUZkWY7Lmw1LEnZvmOQE3Yyi62cC5VQw3SVevytA26CXVIt+ytza0Tclr9eLVquNeS+i05tdLhfHjh1TTwXxiujw8DB33XUXPp+PH//4x+pYaDHg97//Pbt27eLJJ58E4Omnn2b37t385Cc/WeArmzKWi+58QBRFjh07phbiv//973i9Xs477zzOOeccampqqKqqmjLNRlGRORwOHA5HjM2hMh+eStczHgYHB2lublYdyhZDd6NgPM5tPN5sl9/ALw77CEqQYNRx/0erqM6fu6y1YDCo+jJXVFQs2DY9OqHE6XTi8/nQ6XRIkkQoFKKiooK0tLS4PPXnn3+e73znO3z961/nk5/85IKPtkajtraWm2++mb1792I2m7nxxhupqanhS1/60kJf2lSxXHTnG1/+8pcxmUzcfvvtNDY2smfPHmpra6mvr1cN0BXaWm5u7pSLnnL8VDpij8eDTqdTRxKTuYz5fL6Yzf9iouBMl3Pr9oe4+uf7CIkiekHGFwyjEQQePD+V7LTIrHy6JujxEG3GPpEJzELB4XBQV1enSphdLhc+n0+lNOr1esLhMImJidx1112Ew2F+/OMfx7VqXAz4j//4D37729+i0+nYsGEDv/jFLxYVU2USLBfd+Ua8OBJZlhkcHIwZS3R1dVFYWKjOhjdu3EhSUtKUu49gMBgTB+T3+zGbzTHzYY1Go874ysrK5tUXeCqYCee2qd/Nl357BJP+1A3LHxL57qXFZBhCY0zQlfdiusspr9dLfX09ZrOZ0tLSec91mwjKjUqZK4+WiyuJvYcPH2b79u20tbVRVFTERz/6US699FI2b968QFe+5LFcdBczJEmiublZLcL79+9XHdOUQrxmzZop3+WVo7gylhgaGsLn82GxWFixYgXJycnzmjowEU6HczvsCfLJJ/dj0ArotBrCokRQlPnNZzeRajm1hIxeTjkcDjwez4QzUQXRNLDKysoYH9vFALvdTn19vZrTF+9GNTg4yFe+8hUEQeCxxx4jEAiwb98+EhMTueCCC+b5qt8zWC667zYEg0EOHTqkFuIjR45gMpnYsGGDWognogBBpENraGhAr9dTWlpKKBSKmQ9Phao1V5gtzu3/Hu7lR6+2oRUEJFnm/32giMvjpBRHY/RM1Ov1YjAYYk4Gra2t49LAFhqiKNLc3Izb7Z6Q0SHLMs8++ywPPvgg3/zmN7n66qvnfXZrt9u55ZZbOHLkCIIg8N///d9s3bp1Xq9hgbBcdN/tkGUZu93O3r17qa2tZe/evbS2tpKbm8vGjRtVRV16erq6iJIkifLy8rhSTyV9IXo+HF145spTYbY5tx0jPrrtfnKSTeSnzFzdFQgEsNvttLe3q0U4mj0yH9LmyTA8PExjYyN5eXnk5ubGLaL9/f185StfQa/X89hjj8U4qs0nbrjhBs4++2xuueUWgsEgXq930Z0Y5gjLRXcpQpIkOjo62L17N3v27GHPnj2cOHECURS54ooruPzyy6murh736BwPo+PiA4GA6qylFJ6ZmpwEg0Gam5vx+/1UVlYuKs4tnGJ0KAUNGGNwEw6HSUhIiPGYmA+hRjgcpqmpCZ/PR1VVVVwutSzL/OlPf+Khhx5i+/btXHnllQvGTHA4HFRXV9Pa2rro2BHzgOWi+17ArbfeSiAQ4Prrr6e5uZm9e/dy6NAhBEGgurpaFXJUVFRMuVBEG7oohTja/FxhCEx0/I7e/E/kc7tQCAaDNDQ0IEnSpDSwaDN4ZUyjyLyn+n5MF0NDQzQ2NlJQUDBh3FBfXx9f+cpXMJvNPProo6Snp8/aNcwEhw4d4tZbb2XVqlW88847bNq0iUcffXTWk7QXKd4bRXfXrl1s27YNURS55ZZbuPvuuxf6kuYVTqdzDM1KlmXcbjf79+9XxxKNjY2kpaWxadMmNm3axJYtW8jOzp5yIYy2vXQ4HKpqarzFVDTntrS0dFFZAZ4uDWzQHWTn3k6G3EE25ZqpThfUtN7oeflUVWSjEQqFaGxsJBQKUVlZGfdmIEkSf/zjH3n44Yf59re/zcc+9rFFcVPbt28fZ555Jm+++SZnnHEG27ZtIzExke985zsLfWnzgaVfdEVRpLy8nJdeekl1DXvmmWdYtWr2cq6WCmRZpre3lz179qhua729vZSWlqr84Q0bNmC1Wqf85Q2FQjHzYa/Xq4aBKh3aYrKsjKaBlZWVTftmYPeFuOGXBxnyBBEE0AgCnz+nkE/VRMYSo+flXq8XnU4XM6aZyG9jYGCA5uZmCgsLJ7wh9vb2cscdd2Cz2fjhD3+4qEyAent7OfPMM2lvbwfg9ddf58EHH+T5559f2AubHyz9ovv222+zfft2XnzxRQC++93vAnDPPfcs5GW9ayCKIo2Njep8+ODBgwSDQdauXasW4lWrVk1pkaRwbjMzM7FYLDEKstGLqfk2rlFYE319fVRUVMx4qfOXw708/FILZkNkjBAWJfRaDbu+FH8zr/CpldGEks0WvbiEiBm/LMtUVlbGvVFJksTvfvc7fvCDH3D//fdz2WWXLYrudjTOPvtsfvGLX1BRUcH27dvxeDz813/910Jf1nxg6Vs7dnV1qa72EAmprK2tXcArendBq9VSVVVFVVUVN910ExDh0B48eJDdu3fz2GOPcfToUaxWa4zJz8qVK9X5pdfrpampCY1Gw4YNG1Tmw3jhmL29vartZfR8+HRdtSaCw+FQWRObN28+recJSzIIp3oSQYgERU4Eg8FAenq6OmtV/DacTid2u53m5mY1DDIjIwO3243NZhtzo+vt7WXbtm2kpqby2muvLTqhSzQee+wxrrvuOoLBIMXFxTz11FMLfUkLjiVTdJcx+zCZTGzdulXlVcqyzNDQkGoC/5vf/EbNmdPr9QwPD/Pzn/+cgoKCcbuu8cIxo4UL7e3tqnAhuvs7XdvLcDhMS0sLLpdrVkI+AbYWpfC4TosnKKLTCEiSzJUbpmeHKAiC+tp6enoigaAbN6oGN8qJQRRF+vv7OXz4MAB/+ctfePDBB7n00ksXZXcbjerqavbt27fQl7GosDxeWMZp4dChQ9x4442UlZWRlZXFwYMHcbvdrFq1Su2I161bNy2PB0W4oCzq/H4/JpMpphBPlS87ODhIU1MT+fn5E/JaZ4LmAQ8/fq2NEU+Ic8rSuOHM/GkFTSqz9fb2dkpLS+NyaSVJYt++fTzwwAP09vai1+vRarVs27aN6667brZezjJmF0t/phsOhykvL+fll18mNzeXzZs3s3PnTlavXj0nz9fR0cH1119PX18fgiBw6623sm3btjl5rsWMjo4OAoEApaWl6p8Fg8EYE/h///vf6PV6NmzYoM6HS0tLp3y8j3YYUwpxOBwek9YcPR+OpoFVVlYuOqMUv99PfX09er2e8vLyCQNSd+7cyY9+9CO++93vcskllyAIAj6fD4/HMy+0MFEUVWOm5557bs6fb4lg6RddgBdeeIHbb78dURS5+eabuffee+fsuXp6eujp6WHjxo24XC42bdrEs88+u8yWGAeyHAmvjDaBb2lpISsrK2Y+nJmZOS3a2mi+rJK6IEkSdrud0tLSReeipfgwnzhxgvLy8gnZBt3d3dx2222sWLGC73//+wum5HrkkUfYt28fTqdzuehOHe+NoruQuPzyy/niF7/IhRdeuNCX8q6ALMt0dXVRW1ur0taGhoYoLy9XTeA3bNgwLT8Il8vF0aNH0Wq1GAwGvF6vmkARPR9eKPh8Po4dOzYpTU2SJH71q1/x+OOP873vfY+LLrpowWa3nZ2d3HDDDdx777088sgjy0V36lguunOJ9vZ2zjnnHI4cOTKpB+wy4kMURerq6tRu+ODBg8iyzLp169RuuLKyckyxUhIw+vv7x9DAgsFgTBrHQkTFy7JMZ2cnXV1dlJeXT8g26Ozs5LbbbiM/P5+HH344btLIfOGqq67innvuweVy8fDDD89a0ZVlmbPPPpt7772XD3/4w0AkLeLJJ59k165ds/IcC4zlojtXcLvdnHvuudx7771ceeWVC305SwqKBHn//v2qCXxDQwMpKSmqmk6WZfbv389nP/vZCaNpoh9zvKj40fPh2aKteb1ejh07piry4vGSJUni6aef5oknnuC//uu/uPDCCxecmfDcc8/xwgsv8JOf/ERNyp7NTvfIkSNcffXVHDx4kHA4zIYNG9i1axclJSWz9hwLiOWiOxcIhUJ85CMf4aKLLuKOO+5Y6Mt5T0CWZQYGBtQi0NXVRW5uLllZWTEm8ImJidOWNUfPhxUZr1KIp2t7KcsyHR0ddHd3T+rF29HRwZe+9CWKi4t56KGHFs1p6Z577mHHjh3odDp1kXnllVfyq1/9atae42tf+xoWiwWPx4PNZuOb3/zmrD32AmO56M42ZFnmhhtuIDU1lR/+8IcLfTnvOezcuROfz8fNN9+MLMs0Nzerarr9+/fj9/vHmMBPR4YcHQbpcDjG+O1OZHvp8Xg4duwYSUlJFBcXT9jd/vKXv+TnP/853//+9zn//PMXvLuNh7nodCHyXm3cuBGDwcC+ffsWHcvkNLD0FWnzjTfffJMdO3awdu1aqqurAXjggQe45JJL5vy5lyk8cO2116r/LQgC5eXllJeXc/311wMRi0rFBP6JJ55QTeA3btyoFuKJzMl1Oh2pqakx89fotOaOjg6CwWCMzaPVaqW7u5u+vj4qKysnnMeeOHGCL37xi5SXl/Pmm29OGt++VGGxWPjEJz6B1WpdSgV3Qix3uu9CLFN4pg/FBF6ZDe/du5e2tjZyc3PVIrxp06a4CbrxHtPr9aqRSAMDA2i1WtLS0khOTlYLcXRhlySJJ598kqeeeorvf//7fPCDH1y03e18Yfv27VitVu68886FvpTZxHKnu1TQ2dnJ888/r1J4ljE1CIJASkoKF110ERdddBFwyvxm9+7dvP766zzyyCM4HA4qKytVEcf69evjGoYLgoDZbKavrw+fz8fmzZuxWCyqrPnEiROq7eWf//xn0tPTef7559m4cSNvvPHGe7a7fa9juei+y3D77bfz0EMPqSm3y5g5NBoNhYWFFBYW8slPfhKILEePHj3K7t27+fWvf81Xv/pV1cBHEXKUl5ej1WppbGzEbreTkZFBTU2N2tEmJSWRlJSkGjD5/X6effZZnn32WUwmE6+//jrXXHMNzz777KKyu1zG/GC56L6L8Nxzz5GZmcmmTZt49dVXF/pyliT0ej3V1dVUV1fz+c9/PsYEfvfu3TzwwANq/pwsy9x3332sXLky7oigra2NL33pS6xdu5bXXnsNi8WimqfPdcF9t0jVt2/fvtCXMK9Ynum+izAfFJ5lTIzh4WEuuugiLrnkEtatW8fevXvZu3cv/f39qgl8TU0N69ev55lnnmHHjh08+uijnH322fM+u12Wqi8oliljSw1zReEZD+/hGO0xULwTlOBKBaIo0tDQoJr87Nq1iy1btvDLX/5y0QRwLkvV5xXLi7RlzBzbtm3j4osv5g9/+IMao/1ehSAIYwouREzgV61axapVq7jpppuQZXlRsRLa29s5ePAgZ5xxxkJfynsey53uMibEezxGe0lgWaq+IIj7ZZmbXJRlLBm0tbWRkZHBTTfdxIYNG7jlllvweDwLfVnLmCJCoRAf//jHue6665YL7iLBctFdxoQIh8McOHCAL3zhCxw8eBCLxcKDDz640Je1jClAlmU++9nPUlVVtewNsoiwXHSXMSHy8vLIy8tTZ4FXXXUVBw4cWOCrWsZUoEjVX3nlFZUG98ILLyz0Zb3nsbxIW8aEyM7OJj8/n4aGBioqKnj55ZfnjXL0/7d3ByGNXHEcx7+P7XiVQnUJ4uBIRATjwYsUpCwssXeRrvSy4CEQ7CWgNPWye9ulHjJ4FKnQi9JTU5aNRYUtiAzWQw5poL1okdFuD5nLGi/G/x42K3tY2YLJTCf7/1ySmUP+v9M/L+9N3isUCqytrWGMIZVKsb6+Hukm5HEzOTnJB9ZsVAR0pBtjJycnOI5DrVYDIAgCHMfh+Pi4pXXeHqM9NjZGuVxmaWmppZ//Pr7vs7KywuHhIZVKhUajwebmZtvrKtVuOtKNsf7+frLZLPl8ntXVVfL5PJlMhoGBgZbWieoY7cvLSy4uLrAsi3q9fn1su1JxpiPdmMvlcnieh+u67O3tdcxOTX19fSwsLGDbNolEgu7ubqampqKOFbqtrS2Gh4dJJpO6gNkhtOnGnGVZLC8vk8vlcF237ed9hSUIAorFIkdHR5yennJ+fv7R/d250WgwPz9PqVSiWq2ysbFBtVqNOpa6JW26HaBUKpFIJKhUKlFHaZmdnR0cx6GnpwfLspienmZ/fz/qWKE6ODggmUwyODhIV1cXs7OzFIvFqGOpW9KmG3Plcpnt7W08z6NQKHB2dhZ1pJawbRvP86jX64gIu7u7jIyMRB0rVL7vX28PCW8e3/N9P8JEqhW06caYiJDNZnFdF9u2WVxc7Jg53YmJCWZmZhgfHyeVSnF1dUUmk2lbvbm5OXp7exkdHb2+V6vVSKfTDA0NkU6nCYKgbfXVx+NDey+o/zFjTAa4LyIPmtd3gN+BnIj8Fmm4mDHGfAG8An4UkdHmve+Bmog8NcbkgU9F5NsQM30OPBaRL5vX3wGIyJOwMqjW06arVJMxZgB49k7T/RO4JyJnxpgE8EJEhkPM8wnwF3Af8Hnzhfq1iPwRVgbVevqcrlI3uysibyfJ/wHuhllcRC6NMd8AvwJ3gB+04cafNl2l/gMREWNM6D8LReQ5oBsmdBBdSFPqZi+b0wo0X/+NOI/qANp0lbrZL8DD5vuHgD4kq25NF9KUAowxG8A94DPgJfAI+Bn4CbCBv4GvRKQWVUbVGV4DwUe2qkJ9/tcAAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = plt.figure().add_subplot(projection='3d')\n", + "ax.scatter(x,y,altitude)\n", + "ax.set_xlabel('X')\n", + "ax.set_ylabel('Y')\n", + "ax.set_zlabel(\"altitude\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It might also be useful to use colors to show the temperature measured at each data point. We can do this using:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = plt.figure().add_subplot(projection='3d')\n", + "ax.scatter(#what goes here?? remember it's a 3D plot!,\n", + " c=temperature,\n", + " cmap='plasma')\n", + "ax.set_xlabel('X')\n", + "ax.set_ylabel('Y')\n", + "ax.set_zlabel(\"altitude\");" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "InNY3X4nI2X-" + }, + "source": [ + "Now the colors are specified using the temperature data. The above example uses the 'plasma' colormap, so high temperatures are in brighter more yellow colors, and cooler temperatures are darker blue/purple colors. You can read more about colormaps and see some of the other options [here](https://matplotlib.org/stable/tutorials/colors/colormaps.html).\n", + "\n", + "\n", + "But now, let's go back to 2D data for a moment. For example, we might have a thousands of measurements of stellar masses and radii and try to use a scatter plot to visualize them:" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'M')" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "N = 100000\n", + "M = np.random.normal(loc=1.4, scale=0.1, size=N)\n", + "R = M*12*np.random.power(4, size=N)*np.random.normal(scale=0.08,loc=1,size=N)\n", + "plt.scatter(#what goes here??)\n", + "plt.xlabel('R')\n", + "plt.ylabel('M')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It's almost imposible to make out any of the details! The points are so large they overlap entirely in most of the plot. Thankfully, there are other tools for visulizing large numbers of samples. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exercise 2, part 2\n", + "\n", + "1. Using this [tutorial](https://matplotlib.org/3.1.0/gallery/statistics/hexbin_demo.html), plot R and M and describe what you see. \n", + "2. Can you find what are the coordinates of the higgest density area? hint: you can look for the bin with the largest value.\n", + "3. Overplot a star at the position of the higgest density area.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#what goes here?? go see the tutorial!!\n", + "plt.xlabel('R')\n", + "plt.ylabel('M')" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'M')" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# where is the max, to get the number in each bin use .get_array() and to get the position use .get_offsets()\n", + "\n", + "plt.xlabel('R')\n", + "plt.ylabel('M')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Images \n", + "Often times, we'll find ourselves plotting images, i.e. colors over a grid of positions, or similar data (e.g. temperature over a grid of x and y coordinates, which we can represent using color). If we have an image, we can use some of matplotlib's tools to load it in, e.g." + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from PIL import Image #need this to grab an image from a URL\n", + "import requests #this too\n", + "img = Image.open(requests.get(\"https://science.nasa.gov/science-red/s3fs-public/styles/large/public/thumbnails/image/Hertz_Feb13.jpg\", stream=True).raw)\n", + "plt.gca().axis('off') #try commenting this line!\n", + "plt.imshow(img)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Wow, Paul (the head of NASA astrophysics) looks dapper! We can also try using different colormaps by first extracting just the black-and-white image. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Pop art exercise\n", + "Become a pop artist and emulate Andrew Warhola (a.k.a. Andy Warhol):\n", + "Use your favorite 6 colormaps (Google them!) and complete this fabulous collage. " + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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uqN/IOzyEgiEIGIKGEG5iONwFjnFd+1xUPZiBg8PRaESe5xwdHZEkCVprqqpiPp9jjCHLMiaTCdvttq0rTVPWa/c25/T0lKIokFJydnbG0dERX3/9NVprttstSZJwcnLCdrvFWktd1yyXS6SUlGXJYrFoATJJEjabzSAEDkHfX9UtNYQ8v49YaQzv35AbagjVvr5d7qdDYD90fPuemRDQhs5+KFYwCfbl1cTQ5dRDYSKGAZGgzF1VU7T/ff1Tqcil4KRISVOJrg1Vbbkpa2osuZDMMsW2Nm1/JVOCVdOhOBuljEYJSgrOH41IL2YsvnhLXRs2G02SSk7ORpSbCmssdW2YLyqUFGxLze2ybgASEilYG9MTDbrrDPGP/0OA0LBbhTRW3BFNurKi7ejbZrl7QS9cpx3bdMQb163m+QtVRtM4ddXWnYBsGm5r3f/Y7bS9V26zwWcmhIIhCBiChlDNi+FwFzjGde1zUfVgBg7URivISzi6haR2cFQlMJ+BUZCVTi3cZrS3NK1g3XSsTq8dIEoDZ29cPV8/Ap3ANnd1nly7aYtTHJcTV77MYDFtANK4spuiUd3i6zLwWDwohlEMX3toIC/63sWuqKJ5SWDplEfPTB4akwbyfH273E93uQ/Hx7fvmQljCgfb3zg2ESD0XPFqoj+JEBRVHxrtAAz2XVkbQFSiBVSbSOpphs4l5XGCSUBoB3TZTY3UFp0rqqlENQAIYDKBWrsHc3uWUhcCK2FzJqhmULx2daitxCSwPRGobXMta0u6dPdHlYps7mETTCpJ1gb0wPVszsX2YG9fS9X0A5oXLYMlRD/W2kL/QbXW3QPbnHurJLqHzbmlCoRofue07auMxvaB07/B8PfGu6TGz0ajLt61ENiG6GUIKsfBdJiMJv4/ZhgQ/fSOL6YHM3Cg9m3gCfA3gROcGngN/GEz/QSnFn4VnMIF8Hkz/XdwgFjAk9/4S36JP+Z3X/0m5nriYPEE3v/l7/Hq5hJdJ1TXM/gT4Y7hK+CP6GDzpKk3VDe9DfVif+rkNI1tBtbF8Oghdt/Hc+EgNIaWRht6iwHRbzd04B2wDUFAHJsIIEV38byaGLqctmAo0kFAdNNdLGK3L7deibRVDBNyTs0jJhRcZmMyKaiNZWsMP6lXVNSMyTlLCla6dt9hC4VUzHUJwNNsyiyVKAHvTQSXueEHy4RSw7JOyJTgnREsa9eklAbebg1KCNZ6xNW2YmtrEiSZVMzNltppdfGVJO5hPSRngnGv1wfX1VYT+GWhUFjR/UY4NTTFxyG66+0URg+LTrVVDiRt3VMZW5i1lfu9RCGsq0dY1X7t42fDq4v3xVrfC4tDaphfvk9NjKdDt9N9SuLQJywXAo+UkjRNW/fI6dS95ioK1+IlScLZ2RmTyYTb21tWqxXz+RyA8/NzRqMRx8fHvHz5slUCR6MRz549o67rHiA9e/aMly9fkmVZC4OTyYSyLDk7O8Nay83NDaenp6xWK9brNWmaYoyhqqr2GPfZQxPZ7KpHKTXYkXlIrOIuaAzVw/gYhu5TDKRD6mKsFHbxZ926Xe6n4XToduohMawnTk6zK6GNVwL9skwKEgQaOFIKCYybe5MkkovzguJ4xPLNiuWy4ubWNWSPTgvG44TJ+ZivfniDXFYYY5mME558eI4p666jApx99Jjbv/gJWSYxVY2SgvR8glmWzB7PwFqWr5ecn8FyWbNaVaSZwtyWlBgSIXqeYI1w1/53C+OnwVmoQCrcm/5BE0MY2SmWQnj10XX+rMC5ku6BRhNBIwEw9hxnBGBF8+bPFTN2WF0cUsP88n1qYjwdup3uUxKHPmG50LVDGgd63j1yusD9CDZvppMazq5gsoLbI1iNHTQCnL+B0RqOb+Dl005lHK3h2Y8cBIaA9OwLePkOZFUHg5OFUx3P3rhyN8dw+tbtZz2CtHR1Vml3jN2FbG9P+yzteofdUwztbqhUwf0JbWesomkOYQ80mmBdT7WUw/cpvD9tmGwMj1FD1XOtH4pRhOGGKnQ7Hcpq6uEvVhZjd1T/5QasEtgswSYSoS3VUebAedS8XU4E5ZmgmkB2K0lWkM9dS7s+V9QjKI8Fk5eWVLprXI0Ei/eEU6ADMFu8B+OvBCYFWbv7UE1AloLtqSuT3Qg2p5J0ZUnWFpM2sFoZ55Ia/GSF17v9Du7MjtRBoAPAXR02cRckg5cfwjZ9oYD/2mu6CxqN6amO/hiENsE9kk5dlLhYA9H82BjLXXUxBoRYXfLToQ1lTQ3dTnephvH/HdfXm1cEpziw+U6z2fNm/Qmkv33Lh+ef8Wc//EX4XuqgEeC3gQ8rfuH9P+JPfuef71TGD+Ff/K3/lTkzNIq6UV3+jY/+a/77k3+dk4tr5npGXpR8lP8xr84fc/7BazQJ//eX34HfBL5XOJXxgs6F1R9jeFlCMNtnIYs9NGRwaNl9kDgEjRsiFoxjEX0cY/gSIY2m+/B4x7OoF38mg+lwG3lnOnQ7HcpqGrqaxslqXD1dhtLQ3TRnSkqOpuLCPEEimEmnHOZK8N5EcpZLvt4cc721vN64i/NsknOUCR4Xlu/dgNq68JyjVPJLp7A1/T7ML51ovjdXFMoBohJwWViWteDZ2CHaV2vF07HiprTcloZcCfTGsrEVKYq655Lq+x1dX2M4JU/T/2nKuPK7v2sm/vW0nSopMK4/2tQi7f3QqKl6rqldvZU7+lAZtk4tjacfqi5+o5jFEATiMrvgbp+aCB0g7Ssf7lcI0bqaJklClmUtwAHMZrM7cXRKKZ49e0ae58znc7766iuSJOHRo0cURYHWmhcvXpCmKaenp0gpmc1mFEXBcrlkMpmQZRlpmrLdbluFsarcF3c8HpPnOdvtlizLODs7axXFLMvYbDasVivAqX/eVTVUN+NrOgRm3uJYx/tAMoQ3X9eQC+quhDeha2p4n+JnI4TDIWAUQtwFRXu3nxC6n8YAGcYmDqmJQJTNlN5QGDEgCrpkLEIIUiHIhWAkJWVz/sdZgjG2/QCITHH67SecjzOqqwU3n1+RJJLpz5yhJjmPa8OLz69JU8X5eYFQkvRihprk1NcrilmOHDmlcrPRbEtNoiRptQBgejxCTnKKdYXME6ZPEvRiizWGolCsVjXLZQXC9VEUoJRkXXcZtXrPAP2+VNigheFD0G+EkwAMfRynAZf8Ac++nfro3VbNHmikeR50e99co5xEZNK5r3pI5A4wSoZBcRcY7oK7fWoicCdmcah8u99m3ruaJrVTCrOtgzuA2byBH9lBkqod7OVbB4tfPXFup49eO7DUCl6858Dz9K1T/WZzt245cbCZlZDWTlHcZs6ltWpa+fHK1b3NHEyeXcFm5I4hK930qhEvtHTHLzVsvdoQX1PDncQ17WMk+lDZA0kdgGQAou0zJDrwk8G2PrRyCBpxjxVa9e9JHP/p64phJV4Wg+JgQ+UPOE5k411P96mJ4BTFpp5ewpoQGhtAtH6+cTW1qULnCl0oF1MIlMeJA2tjGzgTWAXL90BnkC4Uo1cWmwg2F6ALi9CC6QuBSQXbU3fBq5FF55CsBPUYTAomAbW1yBKsAlm7c9iOQOcWVTqY3J4K1NbBYZ0L0rUkXTWdIe22NUo41ZGBlwZxQ2W7GG1h6d+DECQDLou/i66Aq7txVGh8r23zUA1Do1NiLNS2uy/WZaHtHbZpFEUPhzEworkLitXAsiH30nB+n5oInfL4gIQ1YSxgglPungDv4YAM4FdwgOM/wIw5/+77/xWP33/FJ7/1Mf/wL/410pM5v3n+uzzlJat/dcxfvv55uICz3/ySjJKP+YSnvOQzPuT5488554rZyZw3Ly7hqxSm8IcX7u3Y88ef85hXXL17zgnXzN6d8/I3nrIl46v3vuXA8XvN8Xm31ymdmjmkOu5yTx1SDv2y2O02idbvilPcsBsYfblFfIBhRtSwMr/TIWBM7oBi9wvdWc/9dGBIjH1qIoBsspnGCWvCZDUtvLheSOtqmjFibI+Y2gnr5gF6lIzR1qKNpTbuS5lJ+KXjmmli+Hqb8OdzSSbhW1PDLNHUNuVP3goKpXh3IlDCcJlbZonmTak4yWCcGDKpWNawqi2pFJTNj8xJapkmllWtKJTl2RjmtUJbmKQ5t2XGTeluUG0NiZAkUrCoq+bc7zJPr8+NbUEynIYYJJN2OgRRX79BYqwL0PGqo8GibbUTGgGM0BirG4B0vSkZtS1WuHhHD4eDwPhXSXAzZEPAOGQPUQxDUAzdSYfAE2jLeEUxz3OklLz77ruUZclsNuPp06es12s2m017vIvFAmMMs9mMPM95/Phx65ZaFAWTyYRnz54hhGA2m6G1Js9z8jxnvV4zGo24vb1FCMFms2Gz2bQupnmes9lsSNOUNE1bgD09PcVay2w2o6oq3rx5w3K5bEHT1/GQOMV9Lp5DIPmQLKjxtruURr8uVi3j44hdVIdcUXe5zw71w4ashb0doOjBEGjdUNv5ABRF8N9PK5yiWEhJguBnLsaUleZolnH6wQX17Rq93DbnBuWbJbbSDgDHOcfvn1G9WWK1QU0LkpMxz37WdTDS8ym21qhxhpyMEPMNyayg+skcIWC9rllvapJEsl7rBgavyDJJmkqKRCFHGdk7J2At6dUCU9bMf3zLfFGx2WjSVLJe1yRChOJl/x70poN7GfeLA0D0G/okNr4er0R6cGz7ZB4cbZNMYgAasRYtBMq67dw9sq1Lqu8xdi6qrgMXiwphLonYHhq0/RDFMATF0J20B5S2ub7WQZwvl5bO3VRqePcllCnMFvD0pVP1NkV3vIvGBXU2d1D3+BXMpw7mio1zS332hdvfbO7AKN+4z3rk1MbbmVu/KdwnqWFz6spsRg4009JBZFY5d1aLq69K4M25A0/vyurr2JURdVe2VRv97ni4a+8d/eduVxbUeFsjHHQI0YdGcNdJ6bv1hha7qA65ou5M4vNNGqoGLgZB0YNhc7JWyW4+VBqbNqrNZColVglMlmAKhVGCxXsZsrJUU8HqHYHagPKqi4V0AcIImFp0bllfCtIlYBzk1WPB4plzQ6qmFqkFJgNTGOxGogtBOnffY7WBZGMxiSB5q9G5IFk7SDRpA4IjKE8cxFVTgawF+Ru3z2RrMUlTR9qojUPf0eAS95LkxGXdG6j+dbeBJ4SlayB82ZY8O3B0//2CDhotxgFuE+/Zvo70LqntflTbYvWG1AiPa9CGgHHIPBTuy3waDnvhoXKgmjDmz7udXuAgcQr8JzhY/A78Kx/9d3zBM17qpwDoWvHJ8mNWkzEaxSVf8y9/8Dv8OR+xJeMdXvIhn6H+g5oEzcd8wooxl7ziHV7yBc94xhf8Mb+ISjR8njrIOwHzuxN4D37/yW/DBaQXt4zOVzznil/lH1Oj+ORXP2bxqzP+yV/8S85dtXFl9XXsdCsNe7kPhcVd5e+DxXCbGBz9Mg+iG3BP0S7Fedf8vuE07gLjkIXq4BAoejAEB4ouYU0DjgEo+iEsfCZThXM7LeyEqT0iJeHj6REbPeM8l/z1Y8NNJVg0L5uMhddbQWUUFsE0MfzcDF5vJdrCLNGcpopfPFVIYXmUaSormCSaWVpzUymOEsOrTYIUMK8si8qQScHLyjBOJLeloFCSXEEqBWOleW+kMcCjPGFrBD9aZrzdGpa1JZOCRaXJpMLYIc8qej9mYV9Kxv1zbG+9AsIaTdvPcfU0mmJzbZrMDgIHkBY0VQ8avSUid+1P0zDF8ZVWuJjqeEiN8Hm4b6iQbwyL38TuA8VdaqLfFugloRFCkOd5q8ydn5+TJAkXFxdMJpNWwVNKkaYpWmuKomCz2VCWZRtnOBqNkFKyWCza2MLpdEpRFBRF0Tuu8XiM1prFYsH19TWr1apVFYVwSV58nKLfVkpJURStG2xd1zx9+pQXL1607rBelRyNRq3CGKuE3uJMo/E1ji2GwSFl0W8bZy0NFcQhZTHex9C8DrPD3XOs39Sk72sxDIq71EToAyLNfwGMpGv6lBBcjjLSVHLxeEJyOkYvttQ3a0QikXmK1YZknKFXJWZTYZbumUpmI4SSVG+WCCWRWYI4m6CmOWpSuM5g02FMjkdUtaa6XvHmzZbFsiJNJVVpmpfcltt5SV0bRv2ZLjUAACAASURBVKOER1KAEqhpjswS8qenmLJm9OE7TP/sBeu3axaLirI0CGHJUslmq9v7MtQEhPFC8SMnWvK5W97nkfDKogdHvw8PjiJw38D23VOFEDRdMbedtSTCl++AMZwvd4DfQ/ru99l9oLhLTfTbekA00GYhzTeNMmfg/MoB18VrB3ybwil4Sjt40xKKLWxyF0+4zV3fdrR22y+mtLGF04UDx2LTHEezj/HKwePiCK5PXP1J7VxLhXV9WB+nWGxAXLntik3jBvvGrXv6Y6de3s5gNXHbY2FUueNqbudeN1LgTpzW0G3yQBmqhL7+EAJbcPRCDU2cYuCe6tXcOB5yFyxCl0Qntoe8ZLjXhNwPirvUxOaEPSBaP86IEOhR6uIUlWD9KMMksL4Q1GMXR6jWDUCn7troDFQJsnRuXFjQI0slBckSkBKTWKqJQOcWUzTDRUj3/dcjB4/pCvJrS7pysKeqRmmzkC0ssrbUhWAtJFaCzsEmlvLUImrB+olh/FKRzgXp0iKrJkFaKlz8JA0UDl33XtxhfJ8GOnJtdiO6905+3tiB9aLN6urasmaZVwqFbeMXWxe70CUV3LAafntzf6r9n8484e0CxXvUxNC70U97QCyAv4+LIfyN7/EBn/FjnvI5zxmx4kRdU5JxqV7xdf6Y15zzisdoFM/4gpyST/mInJIZcz7iz3nKS57yEoUmY0uC5jmfs2LMX/ABb37vXacQnuDg1INsE6dYPT/ii7//jPy45CkvmTHnb/G/s2DGdz/4H/hvPvj3+OTVx5g/mXTbX+AAEnaD432wuKv8LjiM5727KQPlkmB9CI9AHxirHdOhPWz4h33Wg8QBUNylJgItKAohXXPRbD+xJ6TkKKt4Pzshk4L3p4KzzDKvLdeVIBVQKKgNTFPLohastQNIg+Q40agCrkqJEhm5tFxkmllqmCU1Akikg7CTrKbaprzZCH68slyXDhQ3uvFoA662hlIbpqk7ByUks9SQScOzUUlpJH99VvP/3Ix4vZW83Vq2WiCspFCSZe37UsNxi71Y6bh/HimNrp6mf96ApB+OzIOjh0sPjtLKXuKbvnuqg3ZN5WDP/05GP8BWmvY9gt7RRu0a0sTbg2IW4zjF2NU0Lh8C4L51u1xUvfmspUmStPNJkpDnObPZjNPT0za2rqoqLi8vsdZSVRVaa8qyZLPZtG6rdV23cYlFUZCmKYvFgsePH7PZbHj8+DFFUbBarSjLss2CWlUVb9++beuq67oFvNAFFqAsS9I05erqCqUUJycnFEXBdrtlOp0ynU758ssv2/1UVcVoNGrrDoem8Ba6jMZ239AdIeTtUg69ahgqiEPK4lBdQx9/HvGx+eMP/cB3uZr2zp+++2l/XR8Ow6Q2sZroy9MsoymfCqcoHmcJF+cF2lhEpjBlTfH8AqzFbGpsrTHrEr3YIpR7dk2tsZWG2Qg1yZF5SnW9ZPT8EXqxQf3MuzAew2IBmw1st1htMJuKNz9ZOTUwEVSVYVO6L3GeK7T2GXSh3GrSTcX2xVtEIsmeHKMmBWa1IT2bkp5NMd//mtFIsVjWVJVmMklYr3XzQiMewLq7H94Lq7c8usY2YEeBRQtaFxgPjr6j5dVA0ZSxzav7MKbRq46yebXvO12hS6rEOoUO18ZlIhhOo+0Ads9RqAjtcjUNLQbAfet2uaj63w3VPOZJkMAm0U4dnM2dy6iRDbwlcPm127RqspaWmQNI77ZaK6cwjtYO5tIKFhN4/LUr9/iVW74au23LzPWpqwTenjV1aQd/HvCyravXd5LLzNV7de7KnjQJc7a5A9LpAr58t9tPlbqkPJuiGXJO3gWx0GU0/k29E78oOqAUdO6j0HFVC43NJsoLP6KLe/QxjUjHAso0wNicp2D43gnbxWfGw4q05xXGnHmVMIxVjGPMI/fT/roIFFUEkIGa6E62+d/41NtEYhOJHinKI8Xm1ClzNgFZw+bCqXmiBqFBlQ4gbfNWTegGIHHupyaFZCkoH1nUFurLClXUmFUClUSU0mUzrSB/Y50aqNy+1NZdE525eEl/z1XpFMP8rQPh8tgBqNxKqomlmsDkJdSFJF3hFNGxINm4jKlDSqOVDwRJ6MGhsNbduvYNBG1HCmN9K0X7xtB2dXiBUfjtFC5LqvAvvehcUqVwym3zPIiEbjgN/3i0D1g8DMKuJDREZYaUwhgUffyiuFsMusQ1YQKbExww/gouPnDj3EwXzPgt/mdqFNecsmbEay54yTtklIyoWTNixZhnfMFTXnLCNX/BB/wyf8iPecrf43/kKS/5nOe85pwrLtiScc0JL37/55waOMUlsPGA94TekBqbr854fXzNH/DrjFjxK/yfPOUlX3PJR3zKR48/5b/d/NvwPIHvCQeN38bVHUNZaCG8xcvj+TB8cBPNx8Dor3d4m8MyfvsimO65yYYvBHz8oh9iI7YGIntxsd59tO9qGlrsfnpnXQCKPqlN7Hbqs5l65VGJLoFNTsHUTniUjHl3rKgtZNKyNYIPJxUG2GhJZQQrLZjXkmakHiorqAwcJ05RLKThTaX4cFIyrxU/dzRnmpfcrHNWdcKqTtBWsNGCFyvLvDKkEkpjWTZ98pFKqYxpm9l1DYUS/HCVkAp4OqqZJTXLOuEiM1xk8KdWMU0TbkrLRhtOsoR5pZHCxU3GwOgz198HktA0M74PjW3uXTcvG7dV93EKokQhbZPARtCLaaxFjUs6lDrVMVR7he9NKYTtXggombvhNPywG27n98YuPkhZ/KZup/viFO8rA/TcUUNL0xQhBOfn56RpSlmWKKVYLBZt5tPxeEySJKxWqzZJjS8npSTPc5IkacFTSonWmtls1sYlLhaLFgKNMSyXS5IkYTwet+XruqaqqhZWy7LEWsvbt29bCBRCMBqNODk54ejoiPF43MZClmXJer1mu91yc3PTg8RdALgrA21ocfxiOJbkfTGLHi7hbrIcr+7G/2O35H3upj132UGtoW8t8AWgeEdV9EDIflBs+3+9Y4BMuKTJj49y0kSy3WpUItlcr0lTiS01yfEIkSXUNytsqV283aZCpgpZCdQkR2QKkShEBqmSzu307AiKAvIcvvwS8hxbNhlPr1ckqWQySZFKoGuDvrFNRlWLUoKy1BgjeX21YbGsnPIoYfLihpOzEen5lOR4hDo75nyaY9YVR/M1Zlkyf7NC103GXu6qh+1wLjsgMrSwT2asGzmpLSu6+EcLSBwI+nAgGwWHmeDNvW7eornjcOsT0cSThs+BGB570t3D4Nl7gCK0SzV8iLIYg6LPFNrbr3UQJiycv3bxg2XmwGQxcRCpE6cEJrUDsTpxl6jMXNyiNA40k7oBz2aZVjC7beISS1hcuuk6cf3R5dSVHa+68rVyUGqk23eZuQ7429MOAoV1IHhyDUdzt/1sDsXaJcZZjxxE3hw7iA3dQ/sXtw/tvVVxvz58pmR/LMnWvZS2T95TG4Vw0INsADKqS9rGY7R5Bv2wGuF92udu2ruf98RxuHMTXUO1K04xBMJ9oNj6encHZ4Ub3gIJq0cJJhFt7GC6oMl8KtAjMIklWXVJamTpgFJIpzQa5bZDgZUWoaGeGmSmSRKNWRbYzCBrt326cttXY5clVWjItWgzqlolUKVBGEHx1pKsnPJohdumPJFUU6hHFj0zzHOJrECtBaoUZDe2O1b/5ii6F7ZRMfffKPpltGjHUYSm/WviH4VsYugbcAzdWYV3Yw6fFY17mJrhOKxpkhUZ23+wH9BPeliXK1QOd8Uphp89oBiqieHyi+b/d3HQ+BUwhU+vPmJ2MmeuZjznc2bM+QHPmyQ1CVfbc2b5nJySS14xY86YFTPmZGxZM+ZjPuGc15xwzad8xDmv2+0/40O3v2/joGnRfHxG1WkzvQF+F7763rf4qlEO/+m3f433fvX7fMwnPOdzPuYT3nn/JVdc8MUHz3jFJd//9G+4+mKXUIL5XYlt9imNPj4yXDcEhENup/H+QlAM4fOOS2rK8IHSL/eANsrHK+6PU+wGvN8Him08YwCbAsnIThBW8nw0JZOClXaxg1dbQa6gNCknqSWXlutKsjXu+7iqIZPu/dg0seTKkgpXTgkHkY/yklFakaU1r98eM05qSuPGq35TurjHk0yipKAylspI1lpjgVS6XA7aWr5caa5LpzxK4fJRvDNKeZQbTjPNo3zLLM1Y1ZKbWrGsFa/WUPkX7ubOt6zN+TD07Y/7uT2gtP17JxsQVU052wBjp0A27ZSoGyCUwQuyCotymClM2zcxnf9We592uZvGiZBi+0YJbnat2wV99wHjLlDctV8/FmKapq0b5+XlZev2CbBYLFBKsV6vmc1mrWLnM5OGddd1TZZlLTxprTHGkKZpe/y+U+1jDwFub2/bmElw2VfzPOfNmze9ITYmk0mrcN7e3nJ6ekpd14xGo9btFVxm1k8//RRjTDvOY+zKGcYe7rtH92VDDcddHEpuM6QsDu0vVC1D+IzL3FFJ90BiuK4DPtHGKfrlLSi25cTO7KceFEVQb2ipEIyVJE0kZZMo4p3THJEo1DgDKZxraSKpF1uyswl6sXWgmCXOhcl3/ABb1qhR6uaVgrp2b5mzrDkA4cbokoKjk4Jq634Mbq63pIkgzxOshdEooSgUr2+21NayXZUoIThSkrq2bDaa0dsNJxdj8lKjZgXJaYaaNpnGNhXlH36BMZaqNtSVoe4Nou2HRLl7H+64pfbmXesULmqHMxMOFA3exQIX2yhsqzIK0eygAUaEA8aafkIbn+XWNB3I9t2puBunuA8SY0C4A307lu/7eFBs6472n9QOtNLGDRScmii1czfFOpdQpR2IzW5dPKGq3TY+g6evt04cFHoPQd0oj2nVHb9ttpndOjgEl1k1rV3MJMKphPkW3py5OnwCnMmyUzhvm0ypdeKUTe/2Cs6d9tOP3PHVyiXriV05w9jD3n3YA4ve2phF3QlzlgAeZVe/y+B7NxYyvNd+v15p9PAfKtDt9bsDvnt+OKPfPgd8ART6MqH7qQfCMHnNECj6diRu11NJNXagqCp34KtLiVUOAhGQLBt4W0M1xSmLSQOT/gV2U63UYFILwkEjWmCMwKZd4hnPR+WRg1OA7NbFLOrMvWiqC0GdK0ZXNUJbRluX/bSaKaSWJFtLfeOS55RaogtLnbl4SYDtmUD+uVMVZe0+IminrL9PQ9/xOz7G/RlLPwtrpx66E+vaI/xbLFo3rohbXXp5i6jdAVntoNNdKEn7dkw2gUFCOjmytX1drZjkYhiE3fGK/rMDFIdgERywfUjnBgqc/TtfMlYrLnlFguZTPmLMii+2z/g4/4SXPGWWz5kxZ0tGgkY1cVNzZlxw1bidlqwZU5JxwjUACk1JhqLmvb/xfV7fnAOw+T/OuuQ6NfAcp3b+T3QQOcUN0bGAFy9+jhfPf45v/fKfMmfGM77ggk95yksArj/6A/7L1/+pAzI/zmMvoQwPc1Edmo+X7VIPw/rjxDihxapl7ReO6NxPwxsYuaTuaaN6Hf+ei2ngShq7nwZuqPtAsU2SE/WmMltwwrR1A0XDB0fud3yaOG+jq1KSCMttJXiUW+a1A71cWbRtXh4337ytEYwT3QgBlkorclMzat4sSmHRViIFXBaw1u478PUacikZJw4mZ6lkkgherDZUaJblhpSUczmmMrCsBK8yybtjyVYLjlPNRV4xS91+3h9L/tHXCdrCVlvKNjmPv77Ne6OB+xA3W3EZhXs53tyQtryh6Z/jB9LoYhu9yujjGXseFT7esRmP0auLSiQtJIZJjv6Zj7P40FizMDYuzpZ5H1ACPbXRm1exsiwjSRJGoxFVVTEejzk6OmpByMcN1nVNnuekacqbN29atXA0GrWukT4ZTXic1lrm83kLdnmet8eSZVlb1iuZs9msVS7H4zEvXrzAGEOe52itWa/XrFarXiKe5XLJ1dVVO35jURQYYzg+PubJkye8ffuW7XbbA7hQbfTutKHty4bqwS/cxkNoeB9C6AtdTb16GFqsLIb3O06ms2voDLjrpbXLfDmD7Y2v6Nf1oNEv5y4oCtE1bf77lQlB0sBiWRkmk5Tj0wLb+KiX1yuqylDXlrxQpHnC8tWcLHPxi2pWOPDTxsUoFjnGrrosh9bC9TVsNuira9TYPVMoiSxSsO4YRKqQtyVHxzl15ZTFySTlh18u0BYKKamtYWU0S63J6ppiI5E3gsWiZPxqydmjMenjI9Qkx9aG5NEJF8/nLL6asy01a2tbjxV/P7QRIee2Zm3/nlnbbZMI0ZsH0G1D1XTAnNN8F9vYxDSapgemAlD0CqPCJb0RPn7R2gYWBXUDjGFW1KEm7qGxZr6cFdzJlnkfUIagGHZiZQMuWeVgcbRxoDhewdGNgzvo4gbrxIFbWjp4yyoHf6N15xqZ1m69LbrjtMJlSi1TB4O5H/POOKD0nXyl3b5m8065HK/gxbuu7nzrQG/dxE+mlVsmjUtwc3XejN9442DRKDd8x5MfO1fXbdZBbRjDaBq1747oE5SBfsIcn5QmfA619/aENjbRj0zglUUhcO6n3L2PRtIOMyItYLr7bUXnGRgK34NK4zduqCxCybvrImh0Ox8ART8P7YNuc4VJJHokUY3rZnksnOIFpEsQNcjaonOXoCa/pk08o4vmGhqwicVkFrGWbcyosAIWKVWpSG4VJm8gUoDJcAqi6JTMciZa5bEew+yFdi6uhXRjMq5qkmWFSRV6pLBSkC4V9ZVgcyapjly2VWGgPjKsnijytxZZCpLQ46HtOVnfiPcua6sOtguC77YSAWk259lcL69UisYdvutsuRMVpgFNFQGjdvV2SqNTF62SjWeEiwsSQmDp2re+PTTWzHfNKu5my4wVxj2gGANjjVMVT3Bg1rhuvvfL32elXTbVP19+xOJ6BtcFxXtvuDi+4h+/+lVOLq45Udc84wu25GzJmTHnnNfUPCPDvVHQKD7hY15zzh/zi1zyCkVNRskFV2gU6lgzZsWfFWfODfa6ObZvV/BfpA6e3sOB3me4+EafiKeAv/w7P89ffvjzvP+3v8d3+L94yo9ZMeKf44/4F/727/NPfvi3XKbVUEmM1b4hN9QYBv38dGC9jzeM64+nfblQmfTbhy6prboYwuKaDhR3JbZ5gLJIBwkW3SaradeFw2MQxibeBUUfJ+f27Mb8K5iSkzNTGRttOckljwvc+MnAVSnYajesxSQRjBR8uRYUysUvHiXWZUm1kEvLONGYKiHxHknA63XBukp4tc2ZKI0AlLCMlItdlkKQSsvVFi5GilK78JeTXPCnb914ihOZURrNjXjLW64YVWOm5QS1lrzdjvhRqnhvkvCk0MwSTWUk74w2fHSc8GIlWNVgq64v0n29nfI31D+PuLLdxg2T0WVDBagbeFP4BGeu7xPGNvZe1fu2q23DqnZcS6cwphiMS1Dk097YugFF/Y2AcS8stq5qQcc/tH3KU7xsCA73QWgIKVJKsixDKcV4PObi4gIpZZtRdDwet51XD2lA63KapmmrSK7XayaTSQt2xph2OIuyLNttoQMrn1THw2iWZRwdHbUKo09uU9d1m2Rns9m0rqiXl5fUdc0PfvADiqLg6uqKyWTCo0ePOD8/Zz6fc3x8jFKKm5sbpJTUdU1Zlu19aIeeGMh2Gt8vD20e6kKID91LQ5dUPx3GJsZQGFsbgxiplfELgdD8l8N3+OOah/pmg8uCbT007irry4erBO7tUyJgMkl5fOkS1GyWJWkqycYZapSSAfV8w3LpWv88V4gsQeYJalog8wQ93yCOZmAMclyA1g44lYKydPGK/h7UGqxtXFcT7KbClDV5rpiejli8de6vdW0oUkVSG9bGsNSalTFsjHOfeDfLqDB8er1ifCs5vVpz9OKWx5djindP0W9uyC5mzJQk+8kcIQR1ZdiWXRyjGz4EpBK9BH7Wti1P2yD6j+//+MfOWlA2cGwQgG2cHfx0EJvoG7YYGP1/v2cXquUaU5eE0j3XsvV17G5oO9xB0PEPbQgidy27A4c7yrod0xu0XloHbErDeAkXTRKZzahzD7WNQrMOhqnIS7c+rboYxfXIKX5GuvVGOrhT2oHiakLbk9XKXYt869TJOu3UyKPbRmEs3fJiC7V2yXRWYxeD6F1RL7922/3gZ91xXJ27MRofvXaq4nwGx7cuLvDm2J1vnThFkqbv7K9/qOD5exROCw8jogNtEdxPFWzvQ8+8W6mgH5vYtiU7fvO8W2EI3OEzM3h/m1Tiu3777sQrwvCb/tDrIExis6Oh6rmigoPhXGESQTUWrC8c5Kk12ATqUaMsAslakKzcF8NkTlE0SROjmLhspnrigEbnbngNocEoi6gEYi27N9SNa6jOHGDKSiBqB4/lkXAKYyoQTXIbmQjUxpAsK+SqRGzduLHm6RGyMhx/f40epWzPUsqpZH0h2Z6Bmjt4tFKQ3QLCqYuqdK6swjiYtYJWPQ9vrJ91cNm0C2EHKkxoo2z7nREGB4SiS8hlFa2niGAHMDZuXP6Y/IsBq1wSnJ5qbJonU0I/w8lQwNwQRA51z+I4x3ve98dFEpyKNwW+DWff/ZJMbXnx5TOmJ3OeT37A+eQKJvDFk2e8+d67vAbOH18xY84Jb3mHl5xyzRc840M+Y0vOY75mS8aaMWNWvOWEz/nZVnlc4zOoOtfVa06ZM4Un8K2P/pS//PTnSS9uqa5nXeKdFzhI/JwOuL6LA8v/DHgOP/y1b/PD73yb4+9+xa/nf8AnfMwv8sdk75f80cV3WCSPXPmv6Mcx+tjBIaXQT8fJaWIIjLf319dbCILhsiHrucd61+KazhV1QJps26hgOITAhhKWDLka9sdVDNxMdyiXYdwiOGAcmykZiuNM8XwmUQJuK8iVG7rCD+pyWwmum9/AkXLrC2mZJYaRMtxUirO8RBvBRGm0FVTWQeBGK67LrIWlyjodcppYMmnZaDdcxlgJLkfw9dq7v8I0SUiNZKkr3sorFlyxNQukkHyL77Cl4h+XP+Joe8qPlmec5ynvTzPeH2t+ss15nNcokfBqI5BCUGrLqrZIiYtjNO4KKtn3fLKINvzcJ8DznlcuACp4J4YladxOgSYcRxAmF0yQ1K3flhcliIDR16eRqDamVNEMn+EVZKu68g940f4gZTG2ED7uA8ZdcYpxXOKQquhNSklZlkwmkzY7aVEUzGZubB4PQNZaptMpy+USay1pmrZqnHf71FqjtW7dT73LqHcP9fGPQLs8y7JWMZzP51xeXiKEaMvN53NGoxFv3rxx8WxatyrkZDLh9Wvn57HdblvF8/r6mtvbW5bLZTukx3g8bhPfjEbubWJZlr19xdc3hkX/Ca9vDIehu2gIfP7Y/XnHamM8vmMMl0OfXfGLd+5xACfDcNgtDN1OE9GBYzu+4oCqeKc+Idgaw0wlTCcptbbkk5TZ+dRdm0Q5eDGW4mxK8nYJ1iLzFJEqUJLkbAajEVa/dq6mee46Cus1Ik2gqlxym5sbZNq8qUsTqDRylKHGGbZIqa4WHD87QQjBUebKrd+sGI8TXl9vMNZSN8pqLmGqJF83LtE3teG9XPKTqubqbc3becm7i4rjoww5zkhOJ6TjHJY147F7hspKI6Ugy4LnKOzMh2/CjH87JnrrQ1i04Rt9G0AiYIWPTQTvTmqF7e6zpQNF4d6oeXg0NEluhGj8+YfdUHdZqCDeB4y74hTDYTLuqIqRSePAabKA8dpBXLFx6h50CpoVzr1zOXHTaeXWCQPTuQM63cBh1iiHfiiLukl8s5g5F1Lolmely8KqEzfkxuXXbtuk6WfMp27bN6eu462Vc0dUwoHpa+cZxrZwx/TmzGVWvT1yx+qH9Bgvu8Q3oyb3Qtlk4EwCYAu/djEs+k8YohcPldG6iwbT0t0GtILEui5UqzbK/j1r771xbqutMmnvfnYOlxGbPyljhoExbLw8NIgoTjEcXzFSFe/WJ5FbjZ0mVGOnaunCuZkCWNU9m5uJJVk2v82JW2elpZ4abGYQJkFo52pqhUFspYtnrAU2N8ilwjaZPW3SgGRmHXhmlmQuWD8SIGDTNLbZXFCPpHNDNRZRG6xSkIKe5WSvlu40VhvMk2OKn2zJrwTFdcrinYRqJtA51GOLLgTJygEwCGTlBrvX4WW2e6bjoTQ8PA6tb/1MRVfWP3i16cqa5vkLvfqswMpglLRwWyFAyka1fEhDFSqIQ8AYx7DFsYzRMzOkKIZW4MDpF4Bvw2ox4unxSz5+9xMAxqwb51LFR+pTPvv5D9AknHDNmBUZWz7mkwYOc1aMOecKRc3XPGbGnDkznvJjPuWvMca9fJ8xZ8WYC6645BUXXPEJH/NrH/0vKDSzj1wj+QkfU3145NxQNzhl0at63wb+QXMe9S1cNOV+D27+tyf8g//w3+TRL/+Ix7ziAz7jnclLvs8j+LC5tq/phgvx9hBYjJcNrR8qO5QQJ0xyE5b18607auxmPOCGusM87LXZe+P1UayhB0Ql0lZV9IAxpCrGpkhYyQXn9oiTXFIZmGaWR42reSqazOcWLjLDm1RicJCYSqcOXhYlk6SitiOqxv1UCMuyTsiFZasls7Ti9SYnbd7Q5tK4ssoySTRjJfjJNuFbM6fCZRP33fjJxvWrvlhVaAwVWxJyrDAc85gfCTdw56p+zUj9Ij+yX/HlJuWrzSlvj0Zc5IpJYjnLDNNEcV3CUdN32miLEoIgNUjvG2mDjoJrcpw3l2pdSjsvqZj3ukSQso1j1Nb43hQ+jrFu7jWkbQUG4xTGplIrNMYnuQlcjm3PVX6/fWNY3KUu/jRxit5iUAyhxEOKVxSn0ylHR0cIIdrhKfyQGL7sxcVFG/enlGqT2YSxiWmatiBX1zXX19ftMBfb7ZbJZHIn5rGqKqSUXF5eslqtWrgSQrBcLjk6OmI+n7dDaADteI9AOyajr9NPX1xcAyV2wQAAIABJREFU8Pjx4zYG0oPb8fFxmwTHWxy7GA+rEbulhvOh6hjOh0Do4S/OkBoPnREuD91dw8Q5MTCGilVod7Of+v+i/d9LbBN/AniEABL98xPt1X1ZYaYUj89GTI8y0osZQopW8TMrl7BINp274mfOMZXGlhqRSgeTSeLeQkvRxSUeHcFXX2HLEv31Nck7LquqWZUkJ2M4PYXVV4hEIfOUelMjlCT/2cfom4Vza6pdD2WxqDiZZtwsKsZSttdjabow6aNEsjGGW23IBKyNYfXjOU9uc54+naAm7plSTVKH09Oc1apms+l+2YwFY8JnprtW1rNbpDx6eAxVRz/v1B7r3ilb72La3T8fx4h1DaeHQ2lper5up/7eJo1K6cZ/tEEjuhscd6mLP02cojuxu+6noaroIcUritOFU/WE7Yan8ENi+LIXrx3k6cTBos+i6ofD0I0r6mTlQK5O4fq0G+ZimzvIm82dUqh0EyeZuWO7fOUUSCu6bKPLqUtiM581Q2g093UTZNzPm2E8NiNX56Zw0xevXSbWvGmOvHp4fNMlwQmfm15ipLCzHcBi7zmL4NBE88J2Q2Mo3SitpisbAmG732C5olOn/LHHqrQ/lkEbCK1wE83yXeMqhp9AXRx0P5W9Hbj4v2nK6lFCNRVUM3efdOGyk6qy+e41QLM9NwjtoNLKBhiV7RpEA6QGNTGYNxmiEqQ3sh3mQpUO3My0Rm5TN3ZialFrd2ybS41aupbIuXW6YTi2x4rs1nTDewDJssInrrKjHLmukcsNJAq1TlHrgvVlyvKxRDedLz8MyvZYkKxd3GV7OSzxa/v+tI2XBXAYqo7hOuGS/FhcQhxrcG9P2n2Jdt9t1dIrAq4l8qDYuqN6hVEK2NsXG8pwGi4fik8MYxmTu5vvckH16wscKH4Xnvz8X/JL/DEK3Q5P4YfE8ENe/F1+jxVj5swYs2o+6wYna7ZknPCWD/mMf8Svc80pn/JRO8zFKx7zAZ/xMZ/wisduKA6uueaUjJK/x+/wF3yIRrFijDqv+afTX4O/CfwhzlXWg9RnBEB25JTH1809+hz4HH7y3Z+h/PczLvNXrlgB1AnHv/YVN5896TKvQt9F1M+H0z8NLHr10u/bu5oO1TU0DU2MpX8hEEuc9Y6NvEVwKLr4NHCgODRkRut+KmQTp9i5mcbup3FiG0XKubng+bTgPIfL3CCFy2iaS8uilg3DuIQ1zycllRGURpJKl8wmFabNEaatJE+2nIwqvrg9YqMlL9c5PyMspZEsaslZVvOo2LBYTEiEpZCGjU5QwvLXZhvelCnGQmXcEb4t4TLPeb0VHNlTlHVfjBt5hWmAqVCnLMQ1C/M1iSiYi1PmN095nh/z4ZFi2rwgU8I1DY9HgttKsKyCvhP04hnDzPICB4+i14SJ9vcq9Jzxdbn+rqC2pvGqcrFEXoH0cYzOVbWLYbTRAMjCduNgWmFaJVpYhfcL+2c2zuKQ62jsUjoEebsgMYSLIVD0QONdUH0WUQ9UXjE8OztjPB6zXq9beDPGsN1uKYqCqqqYz+es1+tWyavrmslk0q730HZ7e0td1ywWC6bTaXscdV2zWq1Yr9ftMWw2G6SUbSykVyrX6zVnZ2ete2uWZRwfH7NcLlmv11RV1WZDnc/d2zQfP3l7e8toNCLPc7bbLVJKJpMJWZZRFAWLxYL1et27D0MxheE1HrKhJDZDcOjrD11avYXzMSgOTQ8l54mhEGgbDD+ddKsa98QgmY3/78/durc8u0CxvRoWciU5ShWjUZPIBhwAKol8comcTmHp1ESfpEZtNk4p3G7Rb26xiyWmvKF+u0SVmmQ2g/EYu9miF1v0YoO4usaWmurNguR04nZfG2xZU9+s0fM1alpAUSAWK0QmEWmC1YY8nyOVYLWq/1/e3iVGkiRP7/uZmT/imZHvzK6u7Krp6une7dne6dkZcRb7oCSQ4BLiQxREQQII3QjoJki6SkcB0kE3LUAR4EEQCOnCA7GSCC60IpZaasAhZnabnN3Z6Znu6eqp7urMysrMeIe/zEyHv5uHZ1RkVc8uICtkeYQ/LNzdLDzss+/7f3+OTIxzAsASp9jHMLMiT82cY8dols5xWUq7JcsS//mc/jin349JO4Y8E0ZxMIhJEk3aS1hMM5bLaiOFRvs7Xg9GdQCFMou+zg0k+8t+4fEmS1OzjL7NFnpfP7xqCViri8o4UY73iFQ1aslQ168hQt1OoxHOdwMUhtft9W3maZNJ3ASJgZm6CygGQKMRZm84XxvJwJox3L8WGeqquwZvTgvA6mSS9mK2I9unQwF1VSxAsZMJAMw68jfdEbA4HwgoBYkprCJh+1bd+hwK2V/7dSxkUsj5rLpyTq5mbpJSQN+iL9vKZO2GOhMBB3Ep5z7dEffUNJfz105Aa5ILKzofSB2odfNsiylUdVe7C5wFp9P2D+gtcGjXrqga1g6orfqCM+qttmyBxLZTaohx3CxrUNiuWN9+UGmzsU2vWcV2zCKA93it7waKjZuTx6WGciei6kj+QmlrYeHtXgm9CruKarpVLkzlGp86VKWI5hpWWl4vFMpqyq4iSUuKIkXnCpMpoqlBW4jmiqpfTy46UJU4l0Yrhe14fOxFGqs9viPn6hIkd+NKkR0lwjBacInG76fEsxKzKNB5iet30FmBuRHG0SUaPCRTyRdp09ppVUPVFzlt1YF47olWYcBVjzlayDBIjZv5Jr9+Esm+IY5wDfxku1rLU91aforztYHNRkWhvT31B0pbqpDXJTDHvs7NaIxMJN4q21xn2mY2ASiw8f4lpjYvA4ptXHEKvA889JzwDKBmDAt+je/wkMc84awBbwUJF5xwj6eM2eWHvMsTzvgh7/IhbzNjyFd4zGv8gCsO6+yK9/gB7zFjyIe8zTt8CMCSLnOGPOYrPOGMezzlkCuecEZKwRlPKEj4w9PfEID1EfBXEcCVITGLvwH8cb3tOXCoZHk+he/twCFMqlP+2S/8dfQvLOjcvyb7bJ8kLTj62s8Yn+5y7+Apn378DnykXmyG9v28izW8a79QtoHDdnzj5jGbbRUBleI2i1zyYr9YF7UBCgGC+2l4rXV0a3+tooZVbJvagAAHQ3BEfREohoTwGui5AYemxyBW9CP5osTKY5TnrL9g1M2ZZineQ+k01mvmZcQwzsis4TJPmJQxz/KEqyIit5rdJKe/U7C8Nswqw6zSXOQpuVVcFYbDVFjW0mkKpxiXEZNS13JWkYwm2jOKHdYresbU0ljNGxxivafyjq5L0bzOlbpmoi7J/JSBPmblb7ipHkMEnTzBT7o8yzS7CfQjWFQCGvcS6BrFMIarHKZ1QuhWCHtTTD0WCmDT1/BsPZZYpw5zXjwetFc4tZanyly6rp8/rm4LXYvjW8RRPQFgW23plW1AotYx3oVcjfHtNBp3lD+TDBVeBIp/lr+7pKftbSFOsdPpNMAsSCRDWotOp8NoNGIymTR1LBYLlFLM5zKamkwmLBYLZrMZp6enXF1dMRqNsNY2ILIoCgaDQRN36JxjOp02da5Wq1tS1cBYVlXFzs4Oz549YzgcNqA1AMjJZEJZlk0+yMViQZZlzfXM53P6/T47OzsktWtmOK7T6TRM6b1793j8+HEjc93mWNoGj5sM4mbZVkdY12YTt8U/tsHqq/Jwfmkpamu81HZBbbubtlNlrJnF9fZNoBiKqn/wVQ00BkbT60X0ejHeenxR4bUSVm82E1B4cABXV00d1XhBpBTVjfSp4tmUarxkMV4xeniA/uICfXCAryzl8ynFZEW8Koj3B9hlQTVdYZyjvJo1TxE7yzDDLn48QSURKoogjnHFDYO9LpdPZ+zsJHWf8qSJQSm4GecU3hOriMI75tYxrhz7kTwgZtYytIbd3RTTiev7WzCe5HQ7EYN7I1xl2T0akv/wgspajFaSY/KFwXtoTxkPiWJe4hxvGzGvgWJYruWja8DofYCDMjTT600CyFo1NO0e5NJq7Zr6Zcq2OMSf92+boU2oT9dLYwUMdlZrYFbVbJ4zsOgJgBtNJN4vlEVf9pnXssLJSNbNhnB6Dlf7MBoLoAty0CIRkBjiDp0WgBnGjqtuLVUdCFMZ0m9UkbCdz46FjQygNTitTkYSvxjyQS76AjbD9cz7Agp36vQd4R5MduTaDq/kmu9N4fFDOecAwDa7VBs8uvqLfJccNMQkqi3rAmBUNYDUgegJgKE+UPs1A7c5IfBzS1Hbjt0tF9SGVWwziHet2wSKoaj6ZJXCR5qyH1F2FbarGvCmlcI7j1oZfMfS2cnJpmtaN1oqKqWIFvIEjKeaaAnxzLM6UfjrGLeTo6wininiBehSUfY9phBwiIuIZ6rp71Em8lCz0LjIS3xf5NGVptiB7jNPMZRBjLYemyi8MnQmDlM4fNxBFQ4zy1HLDN/voqwnnpWUA02xo8VMp74H8VRkqfk+KAvL1xTDTz3UjKlysC0BNqyBY+g0a3Ao+/tmSmoNGBW+lpq2AKNnHRdRP5+ayQ0lhmG15v52O4d2bGbaXlXaLOEmc7jpjPolTW3a68OyjlPkLTh6JMBsxhCDZUmXT3jIazzlff6ID/hGU8VHPMJg+ZC3AfiA9/mIt/jpx+/yVx79Dv8Pv8n7fMCSLj/gPT5ePOKqf8A7fMgzTviEh+Sk/CnvUtVg4wlvcMYTPuQdhsyb9BszhhLD+LtfE+ObCmHaTutr+BcIOAwurj8CoQvvCyD7Y+CXYPSr5xyk8tv9LLJcfvcN9MMFv3nyB6zo8t6jH/B/nP9HUve22MLNe9uWkN4FHLeVbek2Api8C+A39Yf2X/HS2MUtRaFps4oBCN6VKiPIT9vup9sMbULdul7GpOwzZCcx7MQS8ls4GaeVTjMuUgZpwfHOnGfTQVPHdRGjled5Ll/6L7KYm1JzmcHbQ/h00edoZ0HpFRe54aaQvIyHiWNeKW6KGOsVl4VpvmKTUjGKHVd5SqodkfKkxpI7iWH8eApHnRjnPaWDXqRQKuViWbGyAxLfIVNLJv6CZXVNPzrCUnKlxuy7DscdRR3Jg1bwLPMMY8UbPUfpFSep4/vXIsM1StJ9barmAngMwDHMaq0nOutxtdCDtwCj9qo1tNL1oSHvo2k8Ux0G7R1emabthIOsTYy8rh+N63jXL1NeChbvkpzetd/PK0Hdxihubg8uqMPhkCiKGgbRGNPE+VlrWSwWzXK1WlEUBR999FEDcjqdDqvViizLePbsWSM9DakuqqpitVo1RjqBbbTWUpYlZVmS5zmz2axxOd3Z2QEEiC6XyyauMpjTBOBZliV7e3tcXV2hlGrAZZ7nTT7IKIpIkoSHDx/S6/UaV9fAcnY6HbIs4+DggKurqwYw39UWIW4x5G+8q+22gcAgSw1sYwDEL8uzGOS9d0mNm8/b+JG705BGrZcvyE9Vi1V8CVAMVStVDxSUzNqIsY1iZ5igkohynhG7FBXXLGO/L7PB06mwitMp1SzDrQpmH3+MMhpvHaafks9zViuLeXJDv6jonFziSyvgsPKoeY7pJiijsfMMO8/whcUVFWVekWcWczOnmi7R3YT4YIACymdTFouSvLAMBglV6SjykuFBh1VmKZ3nMI25zEoUipXz3Esi5taxrCzWeKKsJL1Ycvb2AdGoR1RUROMly0lGtN/H9DvYRcb+SZ/riwVldVe6FJo+Bap2h18PljZZxk3AaMKx9eBJBuXyWgb2wTJ7bYyjUI2ErZkQqMHZ5jz9XZLTF67jzwAa2XitN+oAGifSqBJmMarWDKJxdZzfUsDTor9erroC/D56aw2qOpk4lGYdeHYk4Gu8K1LVPJX3q25tpOPWbKONBOCView3G9Qup4XITkHA4LJXx1Uu1uY0g5nITMtI0mZc7UvrVbG4oea1Y2plBHwmBTx8LNcUXF0Dy9nJ5HwOrsQgp4q2t0foZcGh1MGLBiatsgkYVd2drK5jQXU9zjJrNjGwjAEoBuBvt/SBF09wg2K8w+QrPKjukp82rOJmmoz263bgZnh+ayXGNrGiHChcBNFK4hUrIzGEviPIOF/GYBV6aTCZQheK4YVpQJXtyLFRBp3nkFeK1aRD7ETmqawY5rhYcimaTNhGZZF0FgWY3BN3FX6pcImnHAigSqYQLT2m8JR9cUlVBZQDhck8uvRkBzGd56VcXlFi93fQyxw1X2EqRzdS2CRl+kBT9Ty6EoYxnnvKPriOR2eK7EDRuZJzemH2gRZ4rAdRa1C5fhpJ31NbASM1CGz28ECkoZKk3kFdIa/VOk6x0Y9Je6ut+Vy+jKFNe79t8tM7ghHvYhTbrzsI4NoF3pcYwieLM6q+ocuSE57VzF7Kx7zFkh4f8YgnnHHFIf+D/ZskJqewKffMU55cncFjxe8N/jKzkyHf45us6HHBMct5jyfRGQfpFQkFX3CPL7iHJN0Y8nxyQPbZPj/+2ts85iEHPOdd/hSAP+IbXH74xjqusjanid+fUj7ekfd/GYlVjBC7zcP7AhzHS/igBwOYnJ7y6O98xFd4zKw/5KNvv8VPPxWW8x5Peco93vz1P+Gn/+/XpM672EVY47NXgcptx2+Tm87vaLMXAKNi3fZb4hVfMKDZ/oxqp0p4MbfimlV8IU3GFkYxgEsxW4nF2EYbDlJNasTAxkUQa88gsuzEBdZpxosuldNc5ymTMmJlFd+56mGUAMxB5JkUMC89nyw0hYu5mAwonWJRKUondfeMItIwqzSzKqFwkFvFygrb97ww3JSGnnEcpyVYw3mmmRSwso691FBYWFWO/VQzryB3lvvRiJ9VN2g0uZ9xED9i4a6YuXMqnfO4iunOjvjmgWI3duSxoh9pcV5NLcOoYlZFvDEw/Gwupjp6y1hqzTiKSqoNKrexjJuAsYbxBHOjMIleYqVdvEYrj0fjWIN9L45eNWA0qDp+8VVsYrv8XMziptNlmzlqL2911DuAQzuf4l1AUWtNFEWMRqPGYKbT6dDv9+l2u1hrubm5oSxLqqpiOp2SJAlVJd/K8Xjc1BFcUQeDQQOOnj9/TmAvB4MBy+WySc8R3FbbkswAMIHGYOf6+prFYsHFxUXjshqOc84xm83Y3d3l/Py8iV8MjGaQm2ZZxnw+ZzKZsFqteO2113DONcCwLEsGgwHz+bxxdg3M6WZuw80YxbYEdDN+cDM1xzagGYppRfC2JcLtujclyptl27owcbsGfTQ0fJMqYeOwNqt4q/5wzWwBiqzZykgp9kYpnY7BW0fcS4n2epihpM3wz57j8gpfVJSXM3Q3xhXSp66vc7RWxLFmGEckiWE4rGP+tMI+vQAjMY3dnYhsltFJIqJhRwDjMkclBlXLRcvSsXw2x3tPpxcT7/Upnl4zn5d8fr5g2I9x1rNaVZhI45xnOsnZ20l4epOxrOMXj2KD9XAQG3LnmVrHxFoG84J7s4zuV18Da0nvHxB9doXLK8xuTHV9hU4jer2I2ay4s0+FGTFVA71m7KzF6wO4ZYbj3HoYJnXUgF+JFDWMkXWtAbSt7cLYre2ww9Rh+3W7L2yWTafLNnPUXt7qO3cAhyaf4kuAovYCEEeTOiVFDfr6C2HlrJZ0E2XtUjrdEclmVY8Xx7sCmKJK/uJKAJyrzcqeH8nnGAuDBSxrd9XuSo7LUnFBDTkPq0jqRNUGO3Mxq1n04eJk7bKadaROZ4TJ3J3A+YmsR9WMpoF0IgA06woonIwEsL72hdQTgGEZy3nPD2tn15XIadusXVve26xjDRjD+2Ao0jbDQW/EdLTG6WGDae3g6vi3Rl66pY23AtltP6DOibtx+N0KuRXlF3/7hNwm29R0Kl4JFNEKF2nykcGmqgF9VQ+qjkdZhRlH6CpCVWI0Y2MkwT2QjgUsiSOqwsUC4MJ9iq6iJh1G1YdoKfvSkXtvctkW/A90BclE7qHtiFQ1udFEC0//wlL2tRgcZTXr6CCZebJdQ/+LArMsUR6qgwHKOqr9PjqTGMZookn7EdGJZnXqUc6T70N6Lak4bOSJFxoXQdUVELmB/uoO0e5fbbawBoVuvV+IWZQ0GS3s6VkzjK6e2DKqeeyo2i3V6/r3NPzutdv4jonZ2yXICjcZxGpj2S4/B6u4CRQjBCj+BgzuX1KQ8Fr/KW/xMWc8YUmXf8W3uWGXOUP+De9xyBUzRIN+/fuvSz27MPzajN2DMeP3ocwSDJbf598loaDHikcnH/H46isM0xlnPCGh4BnHjckNAGP43sW3cJXh9PWnvMOP+Q6/xuWfvAH/EAGKGRKLOJDP4Xty/vzDen0F/JKS/U6B857EMH6g4F/Ak7/zBv8B/5ichN/kD/iDB7/JmF3e4UM+5B12uUG/tcB90L8N7NogcXNdmynMNvbbjIEM20KsaNvcpmrVsbn9hVH5tmH6tskGRzPKaZuY1EY32xxTN1NlhCLyxO1AUc5IzHBSUk67Cf1YfKEGEewnjlFsKb3i82WP1Uykohe5oWc8ef09/GIpMYyJUSRa0mjsp6pJXf140ccoMcHZS2BcSFqNnUhYw7nVJBrq9NgU1vPFStW5FQ2HScWTLOGmgI+mOXtJjHWeWemItHzO85XltJvwk+WMmR7jsBzzFpaKntphqafM3TOu9FMusiGTsscvDAusVzzoeT5dpmRWc5A4nueGjvbsJIqrzN8y42vLUsNjK2w39fNCgHM99vKs4xndWpIKYKm9NLxEHmivapmqqbdLMrLIg1UlqmnjFju8BShuc8ptl5eCxZcxUrc/RL2wvEte+jJ2sg0eA2sVJKYBlARzmzRNWS6X5HnOYrFgPp83DOHx8TGLxYJut4sxhiRJ6Pf7jUOpUupWnsNer9eku4jjmF5PHmhRFKG1ZrVaNdLM1WqFUoper8ezZ8+4vLxksVg0YCrLMm5ubtjb2+P8/BxjDLPZjOfPn2OM4fDwsGE0A1sXjHqyLOPp06cMh0MePHiA9579/f2GtUySpInFXC6XrwRnobxMmrqZPqNd111M4ra4UtuKy7ir3UOS0U12ces5q83lbRObZj/WrGJ4v/5cAYqqtZ/H09Oavb0Uaz0GiI+GoBWml0oc4TKnqhm4vLAUhePktQHLWU6vF2GMIulERHs9MaeJDGhFfLgj8lVr6Q972NmSaJGj4wg9klgDnURgNDZZ4a8XmFXFYlGijaI7SMkeX3L9dMZ8XhAbjVKwyiqeLwsOewmfP11gjGY6LfiiLDHAaRJzVVU4D4UXI4+B0SRKsXSOJ09mvHlwSfq1r4D3pPcc1XSFz3N0N8EuC9JuxHxeNmAw3L/6TjZCBim3hldNTmplaixnfT3LL/s17HMtHw0Mouj3ZQY/zLCFmjd7yAtzqPU4290B/raVzXjGuwDiC5JTv32broGIZy0xDfFywdwmzYWVy1MBa/OB5CisYnErXfQF9JlK4gb7C6nTWDl+Z1rnOdTisLrsCpiLKzHTAQGO2sGqqmP5OrDqyeC4txTZ6eWRfJYR6zSyDtzsCZN4fiqfNxsKMDVWzGzGuwJ0q1jq72QQlXLs03siZX3wWAbX+9c1a5kK85inEr+47L8anMkGbktT63UBaIacjnpjG9TrAnAMbRLq02ulYGAV7zqXW3LUeub2laXNLMqLNYt4q3K1BohsSCibbVKfr2WPVdeQj1QDcoqhgCSXiuFMlIt7aDz36MJjSlgeK+KFp+qCNwqbCMBES6wjCsqhx6fScRddhVlpzEDAoq1DonxUg8aVTN74TBhEr6HqKdLnmu6lJ154XCTnHmWeznVFth8xOLc4A+nM0flijo802Wmf9CoD69GFxRuF76W4xBCtLP2nhnKgWZ1J/EyxV39+obCJJy7EOTVerNlCuZdNF7r1ZAry0lACc/2CTDUc5zdAZh1XjarTanhQRuGtX086NR2y1Za33iq80qxRw6vKZjzjHWY2d+0eXrf/Ajh5CJ3fuCbPUujTmNscc8FjvsIzjkVe+unbcB7zk+fw4K/9iE8/fQRvlcSDFQcHz3nER6QU9A6WGCzv8QPu8ZSchDOe8IQznh68xpA5D/kEECYzIWfADDsyfDbYx/2oDx1IXy/4XX6Lf/39XxUZ6W593o+B30OYxP+5IzLa7wH/CHn9t4DfZ+0g2gF2lcQ2PobLv/8Gv/ef/WX+Lv8Ai+HX+A6f8JDnHHLIc55xzPHJBefRm9ulu68qbTnppvspvNjk29okgMS2LPVWCTLUzUqqL/2MajOL4X07RcZ6vxfBYbsO3WIaIx/hcOyoDiddReUg1XCSWrSCvrGMy4h5pbkphYFbVp7cwptDxU0BOwlECno1wDRKYh21guO0YBiXWK8YxRWTMmKWGlLt2U1qX4ZKwGaqhVGbacW4kHW7ieKjRcInc8VNbkm0RiuYlZ7P8wWvp31+MimJteJ5Zvmp+mMiUt507/CZfoKlxCuJ9evrQzoMmLLiR+OUozTlm/sznIc3gJsiZmUFCC+soh/BTf0T0J4LhPWYZT2O9RtxjSrMP4qTqgvPK2EWG++s+gHoa1DpEMDocZg6JYatU2doDLbFTG865AaW+VVy1J9LhhrKJvPwZeMS2yAkbGsfH7YFABPHMUdHR3Q6HXq9HqPRiL29vSatRJCUTqdTlssli8WiYRajKGJ3d5dut8tgMGjSX3Q6nQY0JonEguV5jnMO5xyr1aqRXVZVhfeebrd7C1ylaUpZlhRFQZZlzbWkacrPfvYznHNcXV015jyXl5cADIdDLi8vybKMwWDA/v4+SZI0cYsBjE0mE+bzOfv7+40kdjweN6zqzc0NSZI0aTVexeJtptRog8J2zOFdcZCbDHCbjWxLUcM+bQa6XWeTJ29LCURUi7C60wE1UrfBYwAXbZCxCRRlXOBJlOb0sEvSS4hGXZLjHdTxkUhPgehgiXrylPJqzmJRMpuXpKnBlRVRrOkeD4mGXTGr6XSg2xWAqDVEEarTAefwWYaxFmOtGOXEMZQluizBe6JhB5QWTX26AAAgAElEQVRixzqc80TdBJeXFJOS1SqkLYE0MXx8ucB7uFwUss56viglaGwviviiKJlax0FkOI1jUi1DpEllG5Y2v5yRTiZwciLnucwpzieYQYdot0fxxZg0NeS5rceu7XaSxjHNKtWwjbdNbWSbNiKzuD18k6WuZaiq9dCLFOsYxtoFVVwshYWMFDI3Wss1QnqN4Ip6FwDZZLNeGpe4YXITwEWQLraPD9tcPdCMKzi6FDDVWwpo3LtZp5XIOgLYpkMBVIu+AKoqEqC3O5Z9B/M6/UUudQXQmBRyLXkqoMkpYfYiK5LEKpbt3VU94NWyX5oL21ckwj6Ga0kL+NkbUs/VPk1+yMsjOd/hVF5nHTmn/SvZ7pSk7AhgbDKS9/vXtWtqKgAzsKo3e3JckWwH5e22Ce3VpNRomc0o1p/Jre/z7S7axCe62+1/S4paA8i2sU1of9cGE3cNwpyr0ya0wGETt7ghQQ3pMoLRTRg9bGEUA1CUBPQKn2iWx0bYxC6UOw67W2G6koy6zAz+MiaeC2BMFg6bKHSlcJGiGIHteqq+xyUOEofuWJT2RNqRJBbvochjvBeZl1tFSD4SVZvlgO3ULIXYEeNS0KW4sEaZbx66NlGMHufgofNcslbbRNM9l9QJ5V6Xzhdz1DLHjXpkR/2GMU2mpcg3PcRTyBcGv1fijEfnMclEYzueqgfpWHI/miK0060ugGq1O4D3ai0nx7eeUgE8bpekKtbX1rRNVNcXPqyWonotHUeZlk5VK2Gira0nFO4aaoVB3JdxQO3erudljGJbzlghAOpvw73RFzzkE77BB3yb73LGEwCeco/f5bf4Ie/Cj2IBbacws0M6uzO+Nfo+ZzzhHT7kgCtOuOA1ngpoZMkBV1gMF5xQkJCT8oSzJg5xxgBLxBlPiLDkX08pcnEtHbPH1eJAwGE471Pgv6/P/Z+21v2j+jp/tX6dLeG0B3+93l4hgLIGYx/k7/Nh+ja/znfoseSCE77PN3mNpzziY77Lt2tWkjvA2sa6bS6poWzLu7hZTxsshvrCsr2tSaGx2f6tk7jjGSV5QOGFmMUtDqhaiYmNVmvJ4maajE2gKHFxjo7v8ZVhyjCG3dhx2im531sy7Ii72zxP+Xg24DLXjHPPTW7pRsIyJhpe63pGkeUwLekZSz8uGaQFRnsiY0nTCu9hlSVYp7BOM8tTEmMprCG3Gu8VoypCkWC9xnoBa5mFlVXMCldPTiu6keKD2TUOx5Ncxg89l/CR+ikAJ+4BH+s/ZWmv2DVnvOEe0dMS4/jMTzAYHHCeaZ5nKWeDObF2zCvD56uEYeTYjx2fVYZupFhV/tajHurfotb7AA49a2nqmoVUGB1yOPoGMLZjGB1hIj6MdCOJYfTglGsYRUOMo8KoGI+VuEVl0CrCUdF2RX1Z931p2cZevQycvCo2cfP9trjFKIoaYLS/v0+apg3Dt1qtmgT2wWQm5Fvs1wP+brfL6ekp3W6Xo6OjRnqaJEkDVLvdbgP+gowVRGpaliXW2ibesCzLxmgnbFssFpRl2RjaXF9fN8YzRVGwXC4ZDoc8ffqUPM8boLharYjjmKIoGmlsVVWNNDWY6lxfXwPCpKZpSpIkLBaLJkYzALZw3ne11zZzmU031DaA3ASMm+xie//NlBnGmCaWchvwVDXb1JaVbjKI7dKkzmgBw2Z/1kCSernuUzSDufDFjJWiozU7RrN/1MP0JI6wmmUwe0J8NILaXEZFhni/z6H3DAYlSimiYYfhoxMBla+/jhrtgbOQdmVQoBQMdkSu5iwqz6EGdJQFFDlUJX65hDyHfp80iohGXZG8lpZqvISiYlQb2lw+z6isPNRW3jGzllFkOC9y5tZxGEf8LC+4qRxdrSi8J9GKJNJUlWM/kpTIznnG45z06Q0pwP4+ppugOzHVeEk06uIrS9+LmVNlNx4agZq51afabGOQoUMDLDXYW1LU9VL5jfhEL23tkVlBB00co0bYoDBJUNXsUmCIQn/Yxl69DJxsi1nbZBS3bmMNHqNK2LP+QgBTWgO8VVf+RpO1uYyxIgdFyf54AXen57I8uhRgFhxLA3jtrtbMWpCxgizLSGIVs846XjEY7ZSxSEgXfdk2nEs91/t1fkUHRUeYv+FMmMI8rYHisZx/XEr+xKiU11Uk12RrMDrdkfpAGNC0EHZ00RfW05r1wL3aSM/V/rq3ZartHUzN2gaDnDaA3ASM7fhERwsAhnpqTKe9vK80L4DEzT5y+0Glby/bpemELWDYXtdiFBswufm63t/HBtsxlENDti/MILqOIzyPKXeMSAeMyD3LPuAVZV9mk6suZMcO13V0DlYc9VdYp+nGJUY7tPLspUucV1TesKpi8rpTFdaQlxGV0+RZjK00rmPIjaHqaolHtAJOdQXFUABl9xq0FfmsWVVEs4py1KF3PkWtCuxen+TzMWq+hDRB5RYXK1ys0JUn34tRFpTzJFORtxbE+GGFSzxF7ImWCtv1FDagN1+n7rjdp/zGm00QKIz0WsEgcY13xDBq37CLvq4zsL5hRkskyTUVEOIWjUY5t27bpmzmTNxct21bGzSGC+NFcLjtNQhLdx/4JXjw6z/ihAtSCp5wxhPOeJ8PGnOZHkve5kOq3zKc/9I9dGQ5M0/4G6Pf4Q2e8Jf4Pd58eo7vgHrGGtB8Un9eCq8fXEMw8Nr5VywONMu0x1NeY8weZ+zSY8VDHjNOd1nS42MeMesPmX9rVx4y/1StjWceI8D1W8D/BGQlvBXD75XAnwIn8LwnYPgQiT/8DRoH1cm/POU7//avAcKkHvCcXcZ8zCMe8glLunzwC4ZrXq9TVtxRNuMP71ofgN5ddWy20SbD2AaMc5D27iLsYrlRGdyGHmvmcLOoFvBrO6CGbapmoMI+26Snod7Edxn4AQe6x/2+om987TQa8cPJDqd5TqwdiXbEynOYip5sL43QCnZizzuDnFFS8mB/zGA/x1mIe05MpTVEexJz4CuPW+XY2l3c5poq01SVZrlMyMuInSoi1o69JCazYjBzXWpyqzjqapyHzxaeyoHBsFRzrtUFx+4ef6J+xMrecGje5BP3hyyz58SmT67ndFRERxsK57in9qi8wzrPs8zzZJUAA066K3rG0e0WXBcxu4nIb309Oi03cnu13brDb9httrEmYnyYOxT1leUOwEgwDKx/P1A1qHVEGKyXiQCPAEPrS2lrFaN8RVuO+ueSoTYd7SWAcRvwu+sPXox9a78HGtAR3E9DqgulFLPZjDfeeKMBTzc3N0ynU2azGc45RqNRE+N4fHzMyckJo9GIOJaHbxzHjWQyxDICDYMYlsHYZrVaNWY1Ozs7DZNYFAVlWTYy2JAHsSgKRqNRI6MNjGW/32+AZRzHZFlGmqZ47ynLkjiOOTw8ZG9vj8vLSyaTCefn53S7XQ4ODhgMBhSFAI9grjMcDtFaN26vAextB2jrQX47TrENBNt13MUwbrZTGzzeFc/a7hdt4LoVMLbeN2MtbrOKQU7alqS2u3j4sb91rkpYsZ4WB9TlLKdTSp+aTAuOfvFEGMI0xV9eUj6fUV4v8NbRP+yjkojkeAfu30edPYSDY6hTuBB3BCxWJWgDcb2+zGWWuSpELrKYg61Q85mAx2yF39/HZBmmBpBJnuNmC9JlgVvkwA157thPIyZFhQbyOsZmLzLkTgBjz4gTaqqFiSsqRxJpTo67DI8HXD+dcXOTkz6+5mDYJTpNYDRC5TkRYCcrdBoTHwwYmCXzqfQ12wju/ZpJgQY8KlVL1HzQ5q+HWrqmIbcCxi0gLrCJqp65N9QMZP0zF+TLWgFeHo3tmAB4OWDcBvzu+oM69q11uWbjnLWTfTqZALpFf23mMhvCG58Ks5cUwrBNd8R0xmkBXFElMYHHz+DkXNbF9aAjLmrJZA1uonp9FcmtC0xi1hFAturIuiIR0FbUaTaKRIDisicmNSEPYpHI52knf3ki19hfCOAcTgUcZh0BgF4J+IxLkafu3QjzOBmJhLW7krjFwUxkqFCb65QCRLVbu70GsBcAXdNerXa7Faeo1oAuMIZ3AcYXSs2kOr8Gmw2bWI/lt/WLW8C1DQ5bShh5XyPQsK3FKjZ/bUmqaVXsYDO/ta8lqFXXUHY18ULMXlAQz2D+BvjEC0s4jhonU+WgGCHgccfDUc7rhxPuD8f0jXyX+1FOrCy5i4m0pafr3xOX4LxiZWV5U3QpXMQ461JYQ1ZGlMOIsjQUWQSFpqgUZqlr45v6d72AfC8iMQqjFSa3wkTudNF5hd3rY5JYnFA7Ecp5dCmmOstDTb6n6F560omjd6GxXYXfd7i+RZVaiJeVwsWeciD3KZ7XE1iBSW53JFrgMbwI7UuwuKH58dgGGLd2qdCc9UylNwrlwwRByLPYngSo1zVlG2B8GfJ7SV7FTafNzdFcSED/EHgLPv30EbP7Q4yxXH7/Df79b/5vnHDBAVd8l2/zb3iPH/MOhU35+usfMGTG+/wRv8Xv8hs/+UP4LnBV35trBNz0gRwIRvSj+jx2ZNl/w9Hvzzn6yk9gBNfHHd7j3zRpNq44YMwun/CQZw9OuOCEf/5XfwvOlYC+cA3n9TWexvL6rRg++mU5odP6XJ4jgPFveb7+6Lsia/0X8M9O/zpn7zzhL/IHvMOPueIAgMc8ZI8x75of8tHXcs7/5E25hjbYu4tpvIthDG1yF2DcVtc2eWqbGd7aL9rA8bZcVF60JacbDCMvyauo1hfssJgN4Bn5iAjDjuqwk0j+wsKJhut5Dt/Ys/Sjil5c8fmix0Ue8TzXWA+nXS+MYqfk0e6Eew+mpK9rVE++B6oboSKNL62w9J36XLIK7zzkFu88blLiC0t/XFLlinJlOMwXZEXMPE9YlhGZNYzLmEVlmFcyolhVnteiAVElTNtCLfHeMTKvs2TCoXmTqR6wtFd01A7WezJn6WjDg2HE6z3PJ3PFxbLix9OInSjijaHlsJOzrGdDb4qIjvYcppLG7ap+Plof7qm/9dgP4NGoWpRA4+ncYhnlqbQNMNotg6nQwq4GisIqOjRmnUIj9Au/7hfe2xfqutX2L936ivIqcHgXUGy/D6+jKGpiFAPg01pTVRVJkhDHMQ8fPuQXf/EXG6C4XC4bpi/IVk9PTzk9PeX4+JjRaESn08EY04DQUAJQdc41DKW1FmstcRxTlmWT2qIoigastcFhcFe11rK3t8d0OmU+nzObzRppbHBEDeCq1+sRxzGLxYKPP/6YqqrY3d2lLEvm83mT9/Hy8pI4jkmShP39/SZWMrikBsntJrBrX+NmLsVtZVuexrB+0yV1M3Zxsx+E4zZzLbaB5Fak0D4fNlJmqC1L1qziWs2lGulqkJ9GSgYAXa2JlWJvJ0FrRVk5Um/QacTxu/vEf+HrqE4H/+wZdrLCFRWuFDmmTmPSN0/hwQPU2Vdg/wi6AzAxGIMyra+QsxAnUFX4OEGZCG8rAZJxB8oM+kPZL1uhslqnuFrKH6AXc/RyCVXF0WsCXPevFyzGKybTgvm8ZCcyLK1rUk70jeb1RDGzjg8WGZnz3E8jiqeO0aykLCyrwnLxbEX8oy/Y68aok2P81TUohSsqTC+hGi/QnRg9L2hPjN+WNNOAR5G4v8gygro1qb4JGDVrKaqmHrwpkZPW+KAeyId61xMFkZKHq+PlsuZ2eRU43JSfBqDYfh9eR5YmRjEAPu0FyCWFAKSHj+EXfygs282eAKfAAiov+5x+Iazi8TMY1XGJpqpJitYz22lZ78yaobRGgGRcCLjrruSeFKkAQRBgGMDhqrsGlns3AlznAwG106Gwi4O5GNgENq63kvNc9OHjt+T6dscCGuf9dd7Hy0M5j6QQdnXVlWsMLqlBcrvJ4LXBd5NL8a5RuuJWPGO4L9ACjAEMOMFtwQ3V1+vDNiUd7rZDqluD07vksi+e01piqjaA4a28ioFVNM2Xaf1eifzUR/KjbbsRLtbkuxqvxVnUJuBimD0A3l4wSCrm4y7RqnYerZ1BfQTZiSU5XvLo8Jqz/pj9ZEFHl8TKkur14LJ0ET2Tk7uYni9IdUnuYjIX049yFlXKfrqgcoZ5lbIopVMtioRlIQO7bJVQ5hGFVRS7EfFMky0M8UyTzCKShUPvxMTLqmHjbD/GJkPiWUn/h8+grHCHI3Q5IJlrdAnRytN97nCxYRYn2L0KPRXArCqFSz1qCS6hcTu9JS9pOtUaKCq/qW1oAcY2uNwEjM3DKOygQMvcH0qei75ZqnUqjcAu+tDJXv2MujtlRhtJ1PW0ZYxtkBFeD2hiFIOpDR1gHGNPDbtmzF/85j/kv+W/qYHiX+AxD5kzZJYPMZFllzF/k9/hb/C/89V//plIO58ACwQILVqn3kHAYr9eLurXfQRU7iPsYwr7xxn7x+e8yTnc+2Ou78mFPOGML7jHkh7ffvRdfvDoPT789Xf46cfvwveUsIvvI/kVA6B6Czg8kG2/fSUftvtVeK7419/6VQGPj4F/DP/r3/07HB5c8Wt8hw94H4NlxpATLviItzjkivPOVyBT2+NA20Y3r5KahrIJGF8lGd7217iidrmNUF+dQuOFlBkbrGKzrWYVA1AMclND3MhPY5/gcAz9iJSIk25CpBW5ha6RuMNv7ln+nbNz0k7JxfWQmyIid6p2BoWO9rwzXPHW4Q1Hby2JX++gRinUPg4qkc9XAJWFTgyFxacWnUT4okKVFapb4FcVZs8J87iosIsSWFHONcVCxsDzRcoiSyid4X63x0Uec1VEXGY7PM8G3OQVR26PsZ8TITGYI/bp6oQrf82/sv8XlV1xmL5NNnmXqywmt45ZVfF47klNTC8actZfMik7aAQ49yPHdanpGl97MawfIaY9lmINHr1fS1TbLGOIX3wZYFxLUetwneavTofiXTMhoJRGeYPCiSRVucb4SPmN2cst3ffnLj8PSNwmQQVuuaECt1w6O50Ox8fHjavozs4OURTx4MED0jQlyzKurq6Yz+cNm6eU4uTkhK9+9ascHh6SpilxHBPHccMgRlGEUqoBqQH0xXHcrA9gKMQShnyJ4XWv16MoiobJzPMcay0HBwfM53OWy2XjbDoejxmPx1RVRZZljcS1LEu8942xzmKx4PPPP+fo6IjDw0OSJGlSdkynU3Z2duj1eo1kNkkSRqMR4/GYXq/XANaX5VJs3/tt7dkubcC4zRm1HY+4KWG9DQxf7C93lSZGsf3HHX9qzSqG+gN4bDNgIULF4+kZw+m9AdmiwESa5HCATiLidx+huj38coE/v6AcL3CLgrQ2vUkfnqC+/g249wZ0epB0IOmgokROxMQycIwiWWYLiQnUKRLrYyFJ6+TMXQGKVQmdPthSUnMMS8hWwphZK8DRlqjTU5LJhGQ2oz+ZsPtsSvFsyvh6RVE4VqsKaz155Si8w+PZjzTXleO6tHifc897jkcp+6nBWk9ZOorLGen+Hmo4AGsxg1LSdhyPKM7H9AYJ2bLEWl5IE+bq4Zb3G3nGNgDjZlu3AaMwkoGt9A3DY1D4BjTKYC6M1WSSYM1KNhKOl4zDfh6QuAkSNuMW132qXioBeMfPBGQZK6xeVMGDT4WRyzriEjrvC5AbTaSuk3P46kfC0qWZMIpxWTOINSBVNWhUbg364kLuhanWTFtSCJAM+RLD695SJKSBycxTWX9wJUBx2ZV4w8kIxiOJNaxiOefKCBgsY7ne3nIda/n563AUS07FpJA6y0QA6M5U9nVKjk0K+ezxrqwPgPXOXIp1V9rapHUfYQNIh2O9b0l83Hp/VQ9Umm0bQHGzzV8FFpVqPaCUXgPFV7GKcvDtuMUXOhVUXc3yRGNWNVM4FCBYnhUM0pIsizHXMdFCoQsod+R+5seW4zeveGv3Obvxin6UMzQZPV2glaOjSrTydFSBUZ7rakCqSwYqw+DoqIqByYiVZSfKKL0hdxG7bkVuI3IXUXQM8zLFeYUdauZFQmUN2X7EcpGSLSP0whBPNclUk4w9poyIMo+yHpN7dCnaYjfsomcr9HRJ/7FH3xuwOoywiUFbSbkRzzR2qLA9h3IKW3pc4mEHkomi6ilMBtqunwut7tLc01vpyW4t6w2tg28BRqXWUtQALJV0uMBAqzDJ0AKKaLXup0rdZqdfKAEYthHCthyLW74Vm8AilHYc3EO4/x/+hM8+P6MzWPJe+gOGzPi7/AOOueAL7vEH/EU+5hEXnPB++gGGir/GP+G/evr34J8ATxHQd4WAQYsAwqq1vFe/vmptjxDW8QIBeP26rgAkfwL7JxkY2O/8hK/f+wm+D7+5/wd8yNs85it8+OhtPnj0DT74j9/ns+9+dQ0A5wjD+Lz+/M6BgLPxFH57B/4T1nGMcyif7/CDg/d4jx/wkMcUJIzZ5YAr3ueP+D7f4vTRJ5x/fg/mnbux2Kt8ija3bbKU28Diy/Iubv2AOzdKUWu4cFesYnBAbbOKsAaKYoyyXh8SvnscQ5Pw1o5mWkKs4bjjSbXnVw5u6HYLlsuEn80GXJeGRaU47cjE9lcHK37lnS/ov2VQOz1UN4ZugurE8p2J62VSj6VmS0hAdRNh6ONIZmqMQQ2s2K8WFr1jMYWDwhGXjnRegfMMbEk5U9hKcW81YTLtMsk6PM9SzrOYL7KEL1Yxue0xKx2lc6ysJfOlAOPolBnnTKvP+UFk+erqF3mj16UbJZQOcgsXWcxJR7MXl1RekTlNz1hOU8XTzLCbwKyUU92MCAygsHGHvwMwaqXWph4bgFG1pKgShqFaUlSPRtf/r3MuKoRxDGxnO43Ky8qfi1kMJQCHNiBoM0pwGxze9TqUtJb4BYbPGMPZ2Rk7OztorZnNZhRFwXw+b5jHk5MTHj16xP379zHGNCAxAMRwTuHzAigMwLHt8hlkq0Em2jbiCSCuqqoGSAYWstvtslqt6Pf7dDodBoMBu7u7jMfjW4Y4gZGMoojBYECapvT7/QYUh+uezWYMh0OKoiCO41sAdXd3l/l8fitNR/s6w/m205rAbZlqyMHYZgJDaednbMtUQ1xiu923Gd1smyzYBmbvKhqZhWkDQ8da4w01OGwDxbobGW6PxQA6qVh1JomhKCwqMiTvPEDt7YmMdDzGrQqK6wVl6ej3E7oPj1Dv/TI8elfAYACJcUIjP/NO5KdKCxDUBlRcjyJ8g2pUWgenW4svcqhyQAAlVQndOsaxKqHTldf9EtXfgcUUv7ND0rsi3u+TjJcU5xPKvKLILatVxWJZsVo6YqU4jA1drRgaw24nIo50c92TacHgekGaZSKltRZzuAerFdHxHtX1HLvI6zQdtrmPoemMUo3stO2A6muLSuV8s13GSeuGsPU2HZIKhWGZX4dWq+Yz1kY3CgGXt2TINXB0X75LNSxSGxC0GSVogcMNoKgda+v9uqS5nHBcCjgyFs5+JqBJ1+6iRSKgrIokXcbJM3j0U7j/RBjLuBBwGJXr4aAP5+EE/GkvADEMUDXSp+KaLPJamEtdp+NSvgZxdYxjAJJlJLPA3ZUwgP2lAN7BXFjD8a4AvyBjDYxkVMk+aSbH7MxkXbju2VDkpkUswNdFa4C6Oxaw3KTp0LfvfWiX9sAbvx53gxzTtBM06SHa25RbPxecks+q9Lr+wJi2gWKQJW6CxG1g9u5OpeqUGq0TDoxSaNEaHG4CRW9asYx1samS649BlwIYs9dLesMMozzlPCEuFfEcVCUMW37kOHh4w184/pRUVwxMTs/k9HRRWzKARRNTSh3eEKuKVHkMrt5WgY8YRbUhjTfMbYelTeibHK08uYtYxCkrG1M4Qz8qyGxE6QzLTs68n7Lqp+SdmKqvKUaKZCJ5H03hMRnEK020tPjY4EZ9bDemGsYUO0bSfMSgS0Uy8xRDhSo1PvLgoBpZdK4pR5ZoHkksqlkzfaGtmzZstXPjgBqeF269vQGFoUmdPJNCCo3QIRW+GfF5pVCSWZtgdBPa+NYEQvOs+7IlGJm0ZachzUZ9kXeBig4vjujuQ4VhdDhm8nyX3mjJf8r/wnv8gDQv+GH6Llcc8MPFu8zHQ05ev+Cv8Lv8l9d/D/4+awA4YQ0UQX5k2y6kOWvg2D6HZ/UyBQ4Qmep1vV8Aj6P69QWoERz15xyd/CHvnP2Yt/iIezzlHT7ko28/4vt8S/I0nu8LaPwIWe4C2UETn8m36nWHCKD8Hnz4zjtcccAuYwoS3uePeMYJ3+L7/Jh3eGrv0RksybJ0fQ1V6563Sb32e1r3op0qg41tm7LhsA1eDhoruD2BsOJuNPtiEalpRNsBVXzpgxtAvc9GbkVA2EV/G0T0IyPqGiNGMrHyfH13ysFogTaeq3mPpdU8z4V57EeKt3o577/1BYNvdlGJWYPENF5Ppji3nnS3FiIDOqKJN4mM+PoM6tnTyuFXBSorUV1kv8KihxU+s/jSYfoOlznSsqA7LBnNVuzOOgznfQ7ShHvdiKcrw8oaVpVhVkZMy5hp2SGhx250Rt/vcuAOOEo6JEbRMYrMei4zx2FHs6wiOsZSWcNpJ2NRRbzezbgq+swrAdTWr6MOwlgqPBoa6amiiacO+SfDtvUwag0Y8f4WUynKHI2tXU01CuPNLaObABpDOpXALuOrP58b6p+13MUqtrdvK3Eck6ZpA0bKsmwAVABW0+mUyWTCzc1NI+E8Pj7m7bff5uzsrIlnDACnDfTCMhjJ3MV8BinnNpfQADTbzFqQhwYJa7fbfcF4JsuyBtiF+lerFePxuGEil8slR0dH3L9/n16vx2KxYLlccnFxwZtvvokxpgGe3W63YUSVUkRRdCt9xV1lGxPYZg03ZanhfoX1QfJ7F6O4eb/uYht/3rLJNG7WdFfVidJ0taasRFdZFJbefk9SWMQx7O7jr5/jr67IvxhTVZ7+0YDOg0PU+9+At74Gnb6AvSDx1VHrQyX3GlUpYLHtjOhqaKucoCqoZ/2omUbbMBRyrBKwacr1YEBCSP0AACAASURBVKOqBKT2Lb4sUdSRLs5jljnxLMMYRRRL+6wKy1VZMbWWy9Iyt47XSsfDB0P6/YjZvCRbFESPL0h/+atgDP75FS4rMYMBuiN9SitPFGlsmH7amLoPTqT1RTWDrTDLhVuzjHqD/pOxtCSYbfIKNVLUFqOouC1FrScPokbPX4PGP2PZJkHd3L6txJUAxSqSY8p4zSpGVmL3piNh7W72hKnbHcPxJbz9YwGUaS4y1QB82o6rYWmjNbh6gQVjLVcNz/jGobXetzEPcvI5yssMpzUC9LqrtWFOqDRL10ypqR9hq44AyfkAJrvCMh5dwv3PhDFc9IWpvDiFN38qx4335L50V3K/wjlFpVzXq0pgjmEtEw1MIuo2YATpK1bRpMuw4drDhEJgFDekqM6v79HPJUO9o2yVoG6e6LbjEo3tSF5BlADFcgdc5CFy7PZXXM/66GlEMlYoK3GK2aFj9OiGb598yl68ZGRWxLXzS1gaHDEWoxyZiym9QddA0dTJmlGSajvcYoOHmmksvUEsEhyVNmjliF1EpBxaOTIbU1pDElW4jmJVKSyRNIRXmBxcpnBGJhIgJVrFpNcFZpIRXc2J5gNWpx1m9w1VD/wCohWkzwzZwwJvFGZixO21Az6QbQp8pCT/Ibe/wgEftu94s73uA7iw323ASD0YU75uU3wteVUNle2DJKL+bWukqCGGMUhR/xy/e2uA0AItm5u3lUMEOI0hwjJ5vssvvS6s4pAZr39yzU+/csof8Q2+y7dZznv8yuvf4y/xf/NfL/471G8jQO4CAYK0lmFoYxGQF0BOxe3cNKa1bxsctfdP62Py+s/WfwPYncw5Gz1pcj3KR0Y8Gx3zs9EZ54N7sFsjsMdIGo0PgD/28CMFfxsG/8UlyS8UXP/x6zy5OOP/PPn3+M/5H+my5Pt8izG7nPGEXcYYY4kiS7w7o5wH59GNB+RdJVxTtrGuXcI1t01wvrQUNWItRX1JKpUvUZQKDNNtY5tm+0acYnM5vseADoWV3+fMrlnFJLIM9gumlx3OV10+W0WUDu51PY/6Od9+9JSdf6uD2umg+ul6LBWFMZUCtIybypqKayRmrV8DXY+5oDWW0mDdenLGOvkeFgqMQmsHmagVktQysDlF64fPe5hbzbRURFqRGA0cMyv3+JznXPMZz/iIm/JtHtl7/NJ+zG6iuNaKaQk/mXf59uGYWDuerrpkVrMTl3RMbeSnINFizge35450/YBa52Ncj6sC6WHdmmUMLSQ/YGodalF3TduYByocev3Pr2NTRXIqS0MsMtT/v5jFdtlmbrKNPdx2XFiGOL3Ly0u89xweHnJ4eNjIMq21TfqMfr/P/fv3efDgAUmSNJJToIlVDCxZO/VDAEnh3NrGL+1zCvW1ZbLbinOOqqoaABXiIKMoavI2hmPDeYW0Hufn54zHYy4vL5s4zLOzs8ZtdDqd8vnnn3Pv3j16vR7j8Zibmxt2d3dZrVZMp9MGLL5MatoGv+Gc75IJhxKOCXVvMo13pc4Idb1q4uDLlDajRL2sxwl3PNbqa2G9X6djSF/bxf3sCjzE949Q914XZ9Lra3xpiXa6Yk6+10c9egTv/DKkPVScrCutYxUbjWZ46AV6LbCL/x9v7/ZrSZJe9/0iIm/7du5Vp6q6uru6e4bT08MhRXHEkSjStgABEsbWGwHB0J8gwPCD4f/C8IvtBwOG/GAbFiTbgAwRkEHIlGnSHmNojT10k6PpmWlOd1dXdV3OZZ99y8yI8MMXkRk7zz6nq4c9jELU3pkZec+dJ1as9a0vTg9Ha5SCvJCfe1x204iOs8IwuvAXOM9F4pqLi2p8MVZKYTIx7JnUllmd8cnlhhdty4frmitrqX/ieev1KZlROOdpns0xH/yM7J3XUbMpfnWGffqc4nSf9nLF5mxFlims9aGvc73L1bGMaZcsIBbpUwlgHN52eT40znm8lTYm0Esen0gxtqWo8X537GJgG3+eMgRgEVjsAo1b64XTV06YwqMzeJZJ//DkOZw862WZ1vTpMyYLAVdvfiggMUs6VSYYzUSWLE394AmS044FuX54EYSBMC1x3V3FGQGI0ZEtxkFmbcjb6Ak55mS+9iGtxwKenApofHYnxGHm8PpH0s5rOedPXoMHjwVEnh8IWD44F5bycibnbbkZkKUGMx1TGK77NUOc5BrGdWwYq1H013GLUQz3L41nvE2O/IVKyijF6ZRVvHG9wG4paEvF5sBTtXKj62PLwdGCdZOxnpcYq7ChE9pOPObBkt+8/yF72aozrQEodUOhWmqfYdEUSnrrFo1F0zhNrlosWmSlg1+SVo6xCkZXVnfr7irWaWprcAHN68xjtcdnkr4jaDrlPI18NiNDPa2YfKrJny/JH59hrsboeo/LNzKcQdxR5wr3aU59r8GOHfrCkJ0b6n2HWWvyuTzzytLlSIwlvpU6ljE55u6NpdJ2aYdMVnQBJG4zkNK7U/2I1pYUNcYxXnsevnDZYWzzCirErTYP4dt8l/nJDIvh3+H3+Vub36c5gh/wK6wYSfqMU/gKP+Yf8N9S/ScII3iRbHOBgLmSXl4a92XC/A09MzYMf2qT7e2KCUxLCexBXcnzJE6tK2bMecRPMbRsKMleszyfHrPOjiR+8ZeB/wb4fQXffwp/dsrV8zvwH61h6nHrgh/wK/xj/j6/wz/lER/yPX6d7/Jtfp3v8RGv8/7Ve4ynSwGL2XDwPbC7t8UtZjd8j9cAtvMqpik0bgWMcZg4lSp/8ZIa2wAJu7QtR921nkb6ypNc83Bk+YkThvGtyYrX7l7QrjXP5xMap9nP5Xd0VDi+cecF+3+jQE0KVJkcd5EFttD2zCHId+cEXWWmH9Vzg36SVlDm8ttdN/26O4q3HrvROKvCrltynVNqx0FhUQ1YLymRcq3QyrCXa47sff7NuuRT9WN+1v5rzvOnrJ//Ct88rDrG8Ola8ydne7x3MOcwb/ikrfhkNeJBVXPRlDzfKHItp6lIWcKglPM9y5jmYHT4qILvB8dVPEd5V8kgl1wqEbJJvsVu/e6Ob0tRdRgoUIR4RfUlgsUUzMXPlFnbBTpSlurz4uWyLOu2dXx8zMuXL5nNZpyennJwcNAti4Y1kVV86623+OpXv9qZ4MR9RnlpehyR0YuyzVSGuQsMpjLO6KIaQWYEhXHdaI4DfcxfPIYod83zvGsTJa4Ax8fizmWtpa5rPvvssy51iNaaqqq6/JDj8ZgsyzoznBizGM2AbrvWwzJMi3HbvU7vaQp60+szNLcZsrfD4+pSYyTTmYIsgEGdLIvtsmQTO1lr+r/NhQqgRSlOTkZsPj2nOJpQvX0KJycC6rSC8RiVG1zdUtw7IPvGL6F+9TcEKBZl387k/R//CBKjwY3JZNg8gsgUKKYDDEqFXqtGaYNv29DW96AwajzbVirg4/3JMtAaZaTqMsc3TsRLztPUso07VQ5rcU9dOs/jumb0dMVsmmMyxWiUYaaljNpNp2R5jr+4wG0asv0xxWKDygy6bcI9HV7l/px2sYwahXN0zF+UGcYOlVL9gIImSTYLXcyiqO3pci567wPD3OdcHHbsU/AXP6Pr502xial5yk6gEMAhCCiLwO34Jbw8FPfQ088EFMVl1TpIITOZ/9ZP4as/EqCYN2GfvjfPSY8jMnoGAXepDDMe3pYxh+9ZseiiGpm4yMbF9W2IaYR+mbH9uibIW60BatlfE/6+H0s2H2wmUtXP7vY5FbWV7zE/5HgpAPRqKvLXGLOoQ25Idty7m0oXn+oSdpHwO/c333OP7Mc4uoTsOhjg+HBPu9SGt4HFwXtQcnAYcexLXVDT9mZ4oNvFR4AIuELSXnitWB9pynNoppICw+w3aC0xP6Zq8SZDtYp63+PeXPHbj37KXrZiasTtVCtHqRsMDo3rQGKlmu6z9oYmgMgUKLpEbqaVw3kRLOXKsvEZzkvy59bJA+RQOK+pnaGxcQAxPlQCoLz24vKagbcim7VeoRu5yOuTHBhTNC1q3TD6dEE7mtJMtMTfVmDL8HCOLI3x6IVBN4p2BGYdwaL8OFJQfi2vIjuGvILwo7vlHVsYwWTolCkFxveDGUYFltrjvUIlOReVD4qR+NK7Flg9REtRehrzKA7BwGD9Xb22FECe0AGR6u++5Lt8m/fK9/kOv8u3+B7F2pFZeMBjRqyYM+PX+R7/kP+Cb/znPxGgGN1O0/jEFCBdJZ8VPYhMgWJ6nKl0c4MwkrF9mbQ3sqyRLGhskIHaMUsMlpKakpoDzlky4mQfnj7KaJ7vyQp/N2zr905h7eG/V/CoEiA5zeFNOe+CDY/4KTPm/JCvcc4Bj/iQxycPGJsly6sxrjU3AMYd9ySWYeqMIbhPP1PZaZo6Y/i9u/bxubjOLHYd/cT5VOuMmEcxAsKuPQaj+mdsyC7GeVGCWvlxBzEeTjQfr+BO6fnqdM292RXayG90WtbkC8fGKR5Ulr92+pzXfrtBTcYSe5hpurjEyBxGkJhn/ae1PYhMgWIKBuPLW6vORTW29x2NF6ZrcE1434Z3Va5F+2SU5HKutKcJv1XnYR2e9zeyQ2jfoTZL1u6CH+kPmM3f5bA0ZBqmmWKWW4x27FcbCmN5sSlZO81hLnkYM4Xksh0MWqUq9ZtYxnhn+vl0ivooYyX00QL8k/zVaCwK5TVG5bS0ROMir1wfzxhyLn4eWPxCA/M3gYddDNIQHAxZrfR7ur2YuiLGCka2MAKmKCGN8YBvvvkmVVV12xgCNth2XY2gJjJ/u44/PeYUGMblEXSmgHPIQqbzh/PiOUQZ6WazoaoqyrLEOcdms2G5XHbXZ7lc0rYteZ4znU67eMgY27m3t0fbth3gHt6z22oq1911P3bdq3S9YZv0mRhe2+GxQf93tE+fIakSdrqgqp5VTJ+prR9fPO8wxiwDMZ7VqqXZtNLBK0th6SZTGE8FkFlHfjghu3uIeveXZX48N9uEl07y19Jk/XJtpGYFZIF5VDqpyRF6Ly/CCAyjDFXHHnxY5oOsIrKa3XqhtwvyErTyTLlGkmznhUFrxaZ1jIxmajSt96ycY1G3mIC2F4sGV7dyLQ4OBDDv76PHFWhFcTLD1i1ZptB6+Nww+B7vT79MngfVSVB3PVPd5SOCw/7exVZyv3uGOFO9660O08NyE3i41dgmtO1YrfRvUtxO+C92GNeVsIgxqX3W9oAp5iKM8YBv/rnMj6DTBsDkksOPcYlxnzFthmmT4w/HkQIar3pQGc9X+V6m6rQsj4AypuLwyP49/XH5cExe9TLYvJHlm0LOoVzL/E0pDGOUhC7HAo7zRqS4MR6yrGVne5diopPZsI7v6233JgJZ6IH/rvu8da/CtdqS9ybbSJnk4bMxdF6VlcLFTV9YMb/q0AU1TsdnswtSSbcXgScSp6Ik3jdbe3QtbX3h0MYyK2um5QZvFcpBO/U0+5b3XnvCUb5AhwuwdjnOa5rE1a5SDTp0R3JlyZVlomuqwDx2clREUhpL3E7clsaLND1IWxtnaJ2WjokSGVo8Ve/CgxQvfuzVeMS91UtsotdgNp52ZHDjEpxDrxryhcNFldrSo1qFzh3lpEZVFjexAiCVp5nRxXZ28QmhRraW8DzHT5+0ATkO3798tj8H87ptptOQ3HvCp95+Jq6VYZ7FNFZxaHgTShdHN5hOv0dAlgFrWH94xPOLYwpqjnnOjDn5R6B+BkvG1BR8jR/yLf6Yv/a7fwI/S7Y/pWcNY7lKlkfpaHRAjcxilJKm4DKCwpRJi8CRsCwCzhZySfmLJWNDSYuhCI0thpoCS8Z8M8O2RgByTLHxCJlmJdN/Fs4FePbDN5gz44Bzvsa/6eIhT/kMQ8s3zQ84Xxwwni7Jqxqd2a5KcHkbqt/NAEKf7mN4X3bdqyGQTLdx7RFQ9IAxymT7Ev+C9p8GrTN2uaBGSWIEiS7INFLQ2KXTQIfUC5KqYd7AygrIGmctRWYpZpZy5mispvWKk6LltdGah786R++X/fuuFvMZ2gSE51m/PDNSyyIoqcJAvQ4Dc1u0XOgTtfEPQnj3xoG6VpRLPoQmmMKF1RTWyUBZFt5RzssglgfqMHhUZQqjFEvbsseYiT7G+ZalP+O8qcnCbi5qqJ2myloOJyumRcNxuWFixPPhbunYOIldNKrHyDq8Srrv4fWxvUzO1ySnFeelZo498dK7ocZ7GI2KMp91DKPMz4VdDLLkNG3KrvKlyFB/Hplhuk5Zlp1kM3UsbdsWrTWTyYTRaMTFxQWLxYK6rtFa89Zbb7G3t9e1jyAugqYICofmO0AH5KIz6a4UExEMDkHeEJBGoBilqEqprXXT2L70OLIs6/Itnp+fd6xpNLOJAPLq6orFYoG1lqqqOsdYrTVnZ2es1+utzngac7nrvFJJajyuoST185jBYdt0MOAmo5svUnRSX32dAFZQVFqRKUUeqlZKJJitFTetvX1JY/HiM5jPsasGlWnUe9+Awzvyy81yYRMjq6iNdBCzAqU1YtUVfuXR1EIpfBNYxRiHmJYw30dA2LY9QAR5+YEAyLwQcNjU/T6crONtePZMfKZktTxTlIVhNva8uGoYac1JDqWSLuOoyihLw+W8pj1fYqxFjSfCXI7H8kL+9Ax7tenvoe77R34rDQbd93h4kWXUJjxjqSRVhbZBVumV6kI7Fb0Lqk6kqN5LfyXmXFSRXfThpfkFTJN+HpmhcqEicYZRspk6lrZGAMZkIZLNi31YTIV90xbe+insBSdU4wKI8wE0BfCTRUAYAWO4zBHgNZEtVNePPzKITstqEeR1DGLEJV6YUacF1Cl6IOlM304PrlPWhnyLC5GWVuvenMepACBrYREXEwHK1ZrOMVZbkaOuqwTgqT5FiQ/HMXxDpJJUoDOpScFympKjq6FzEBnhYboMAiDsjI2GAwdfpMTf/xd4v3mtOtBhqwyfKVwmSeq9opNVomA63nBQrnh8tYdb5OSNwms4eeOcN8Zn4nCqGyrddK6nAgpbJromVy0z5TD4rstnURjvuLQVzisan20BRQCL6sCi9ZqNy2idpg3gsfWxI+kpTStSVG3Ce0BJLKBVYhYD20COIMIoFPVUU51Z3DgHM8GVGXiwlcIVkF95sqVi4xSjssF7hS9bGl3CeY7ZJM9Isv14H33XafKJiUTPMkbJtQrLfLilPt2eCscfFRGKMBiQSlHZzrmoerbxizwb2+zRK5YUWDxEgNFBqBmMpytWjCipeWfxE/gJ8Nfhx7zDc44Zs+IfvvyvJD1GZBKvku9relC4AV6Cb6W/nxlQKUCdIKBvKNOMLFk5aBeBaAoiL2W62HOYsg3gsGTFuGMaC2oMLSYyfwce7ilhEH8fAYzVWNxQW9CPFhyfvuDZ//MGH/AONSUPNo+xpemYxu/ybR5zv9umyVpMGFmzIcZt+1eSJRLR5DyGYH4XOEzZw5vqzpyLXzxeMXVBfdWSBWMbjWbqZ+RklGSUyohxqYYmJIyf7W3IDxXLTxRnq4pla8i145ffeUL2WgiXybOeTcxzYRgjKMzC4HoEg5FJ1BpW6x5cDhl678TkJjKQTRuC8oPqL4BIpUGXCtN6bC2DXt4rrFc0Tj5BwG+MMQSJMxxliqMy5/G6ZeaPMSZn7PdweGa5YmTgxQZe1gbrNONJjfeKabXBzCd8siqYt32CryHWjacblznoUmlEltFocUxNJakRZPrQ1ithFW3sRyl5F6X+ty7kWYw5F3Vww3W+z7l4+zNxS7mtk79TAvhztI+xe23bsre3x97eXidvPDo6YjQadWAS6NJd3Lt3j9PT044hjDWVfUYAGre3q6QsYfzcFYOXSlXj9tLYvBQUxpLuMwLJlK2My7Ms665BlJ1Cb/CzWq24uLigaRqm0yl7e3tdzOLLly87p9UYl7kLCN50D4bthtLbFDAOZatD6enwXg/NbVRkB286hh2Hd1v73TJUGQ+bGkPtPAeTnIP9kizTeA/l/QOYTmE0EUknwEoCy8wbr8HrbwtIM7nkUIzuXNoE8JjJ/BiX2B9M6H0jwBJ64OesaLBiL0QblHeh4xoDt03PKMbtOdtvA3pAGietw7VRGu2x1nWLs0wzzY0EPDsYh2GpTW0ZHY7Ilg31Z5eUmw3sH6KO78LTT/B37pA9fYbbNKh1LWBNJ2663dutg4+D7z1gjF20iOlU6JH1/Wvffw9A0Sjf5c2LI5n9fU1yLqptKeptMXC75n2h9gi4GC2FGdu7lGpaeUkfvZRl5bpn82K6i3tP4fSpAEPT9sYxcZumFdAUGcSdsYZZL03tktqHd3sKmraS2dPHEkbWRPltUBhPLt2n0wJ+Oxlrkuoia8M1CGEkVZBbNYU4pK5GApSbQmIc9y7h7AgOLLw8EjlrXdDFZaad/FRielvXOsqSO+ktCYiMzKCny7PowrZT6SnJ9UhB5BZg1LcMcO14Ud3MILF7vpJ12olBN57NvqHeE9CIh/rAo8Yt46KhCDdf1bKd9m7N14+fMDI1pW4pddNJT3NlBTyqhoneUKlGnPNCEbMbKVXIvdiEZMyNF/GqVg7rDbmyWK8DURRGp5WlUQYXbp5WDuty2lQf7Nl6qJQTQ54OvFvfPbcuUzQTjWqNOACO5Z1sak8zU5gVFJewrjVHkyWnszmfXOyjtceeZehGUojEWNseJG4/RzGvYrpsq018nsIglooIsgODPtwzOtZU6ZBrNsRXxns9zLko9/+2Tv5NutIbAONNzSvgXcT9869L1QcLbGv4DfNdHvEh1WO6HIlPOQXgO/xz1D9BQNpVWL5AwOK6n/YXMF/0fzZB+udsYEy/3S0AOGA6r7FlMQ4yElqWbRCJMIk2Ybw2lKwYYcmo1wXuatwDtoNwDa7CPh7JbPdkwunp+zybvs737a/xwhwz+YHj3cWf8+zfnvIt/pg/4jc554AX2Qm2NZRVLazljnINNA7fWqnsdhdY3AUMhzLU4TrXpKg3x5ntij+MDNKusluGKpLFAzVm7VvuViV3K0Nh5P36cNRwUG0ophZVyKjLIoDqr+7PmX3doMoMCiM5FPNMXsSZFsBYZFCW+CLvZaayY8CgaqQd9NbWbRiEj+lpMo1yTgax42/Q6CAPj9tTosCy/T1yXnXvMJDYwyYwi9aLZDSuX2jFQVbStDM0mj0vNPWyhZPSc9konqw1qyZjdNIyud9y8VHBqb7io+WYldOsrOpyJqZdjAgYr32HLVmqVmIGGMbb+/AJgjEgwewGaes9QYYqjLDxGa2K7PEg56Lqpai3lS8kQ03Zo6FpzS5pamw7lIBGEBfBzXg87iSVkT3c39+nqipOTk7Y398H4Pnz550E9eHDh538dBdIjBLTeNxx38M4y6FUMrKbaX5G6EFkrJFBjOBql1Q1NdjZFROYArEoLR2Pxx1rGFNszGYzrLWcnZ2xXC4py5LDw0OqquLg4GDrWOI57QLMKaC+SZKarj+8h8PrOlw3XfaqJf6+MyXximk/LDW0ydQ1lVE3rZUiQ5hEjydTikkp6SMAzs42zOeSO1FPRqh7D+D4rjwbjz8Ga8mOZqivfA1GUwGHUU6qM/kegWKMUfI+kUaEqhRoHdok8/MCskJyNEamEkJ8o5MXpY8MYrL9CBRjRzTLArOZ4YMENV7ATobtenA+GhlmmWFqDCMt44rLZYtdbJgcjGitx3/2DOaXkq7j7n3UeIK+cywJcFUiMw2S0swoskyLPNUoTKYxJpWmhvbhuzbx+VAYnSw3wdnUKIzRmLhuuKcmgEqj+ufgVUsnJU1iFWPZJU2NgCH9rgMDmNnwAraSqL4MsqnIHu5fQLWRvIP7wcDh+XGQoM4lRUa1pmMVlZPtR9AYzW1iZzXKT3VyTHGdaLQRpaSZFafRLEo6YTu+UQUG0fXgapdU1bRyfl2Mo9q+VilzV60FCI5D2g3txS11XUn6DGuERVyOhW08PJN2BxfhWBJAFu+PsQEw2555jZLcnZJUt72+go4t7M7J9te1u27x2idS1lcu8f1tRHK+BSTjd6VEK6S202R037XGZ1Lx4DNNM9bYStYvLzz5lafZA1s5Dg+veDg7B+DFyynKKdqp47X7ZxwVy45VjPLSyDAKu9iicVhUtzxWgyfHUiiLUR6jxBV1rDeM9YaZXoW8jHLOjTddbKPzmpXN0UpG6J3XPcsYB4CMl5hF47vrP5R5i7Oo1LZSNLOMdprTjoRizlaSaqOZCdA05xnnq4ppvuHB3iWjsqHdbzsGNtY4OOIDW+5NP92lKokDJOmnHqyvAssbGX0jbq4+6sPib6xbL0hOX7kEQ46tWMVYUnSh+q+7AMY01DZ8fgVhFwH+d3Dfn/BXyu/zgE/57Yv/A74ri/7V3d+gpuA93uff+9G/7OWnUU4aU2Es+nmtlT9Bq/V2bVtoNvTGLVGGGtNtvKQHn3A9vnGfXraayF4zCwbLiGVXLRk1BW0ANx2zmALRRwjD+G74ngEfwGP7gLffeZ/l1Yjv8m2arwKfwZ0/vOLB5jHf4o+ZM8MYi8mkFlVNUdWMpyvG0yXj6ZKi2lBNl+TTFb001V+/N/Gz2jE/3reh3HS43hcoMQGVVpnITxMgqZJYRqNEfqgxpOY2GoMhI6ck9wUOR+5z9vOcqRZG98nK8mLtuVc5ZlnLvdNLytdk208+3cN6xd2q5u13Xvby0zzrmcToQh/NbbSSd2uUn8aqdf897UtVudRx2edlhBCiEwCj9/i1uMmogKp8ZHu1R2lPbiy5duRanNVbrzpwGH/Fre8Hpme54ciMOPR7zHSJRnFZO65axZ1KwOXHyzGbM4OeavYe1ownNQ9GK2oX+6lSTai57muczlTftvuzEeYZLVDfaJK0cuE7kGsx5zEqhO2o6HkrOTMzDJn/+cWkX6xn/xcsu2SgRVGw2WzQWrNcLsnznP39feq6Zjabsbe3x2g04vz8nPl8Ttu2HB8fc+fOnS3H0QjshsDlJoCUScP8FQAAIABJREFUthkCRmMMRVFQVVUXV5i2S11Uh+cVzy2a6KRAdVhiSooIOKOpDdAZ1ozHY/I85/DwkPl8zvPnz8myjKIoODg4YDabMZvNuuN4lXpb25viDIfnexPgjuWmWNYvu6Sb9GH8uNCK9cZijOZq2ZIXmsPDEruqJT7v6EQkqM+ewvk5vmnh9BReexPyUljFrOgZQkE3qBib2MUYqu2axilq048qB/CpikrAaBbyK0YwGmmPaKQzPDGQ5VkmL1bnUFoFg43tds75Dog55wUwFuEPq1K0jSM7GKPLjPHpHs2LK/yTxwJoyxGcnMLBAfnxbc9UeAbCy0rp7fk3AcbhcxDnx9OVqxj+bU0PBgnUdtzil1224gHDPotG2EJtBQjljYDDuhCQtHchEtTzA5jvCTA6fgl3nvesYQR4cR8RKGnbA6ZdsXoR+GzF1gVWsqgFjMX0FGk7p7fB8pA19Uq27UKHuosHHLSzyXa87k1tQI69zcVJNW8EHM5nApizcHwH53KNZvP+OD63hov/eYBxGGc4PF8dCaIUfIdBAQbzfm4p6quU7RcVKHCFJts4nFHkS4fNFfW+khi8qeV0esVJseCj+QHuKheJ8mHN1w+fMg5xh2Ndd+Y1GkeuWqowr1CWSjVdTGKsuWopglQ1gkqNwwTweWCW3MnmkqdRuQRkOhyKXFuicdVQvuq9QmsvQ+NBMxwB1VZxPRBTLgDGaRjcNQrdQjsWuWp9APmV5uxsSmVaJvmG+3uXmFlDO016eDuq3/H98wDjVmVw/B2A7F5yg4EBuu+xfjEQ+Yol7fNF9uoE+BgBIX8m09PfesYLjnmP98n/GJGg/ha8z9eZM+M3+SP4Z/Rxh/EzbjeAxmYhwHC+ENCY1tVGlnUgs03qAjHM+VnYdtxm6gga14Ht1BsIqzhmFWxtSgwtBTXZsGFMyREZzEcIYCRcj3P4ivmAA8749v7/xfu8xx/s/w05ps9g8oeO93if93gfQADjsAYAmYVqsnYQy3gDYByyqWk+zNvYxl3roriVdf4LlJR1dCHxwoiSRWvJtOK8bqmM4t5YsbSKO6M1o3sOfVSy+pnj+XLExmkezuaMvlZCJdJTVeU9QxgNbXKZ57MAHrc8HqRv5LvB8Ri3GPpSeQ6TEexPRMaqQ18qmuc4zxbzMPj9eafIjMN6RevCoHWUlCfFei8D3OH7LDccZYLgM6Wpneew8FTa89rI8WyT8+TpHro0mIlm8prlZLLiTmG7O3e9L7MNJIexjDcBxqF/RxijlNNFhT6SCoqs8N3rbpAgxi12KVRuYZ1j+UsFi7GkjNxyucRay3K5xDnHeDxGKcV0OmUymXSgK8btZVnGyclJx0QOAVsKBFNGbRfzljJpQ7ObuK08zymKYsskB7bB07Dkeb6TZYuS17RExjHGKbZtS1mW3X6998xmM5xzLBYLXr58yWKxYDqddqAxjfV8lRqP41XB5K7podNtOn/XdfxFgUWgUwpphFlcWEfrYd60OA/TiQD+/GgKe3vCEjqLv3iJv5yj8gx1/zWJcYAEsOnuU+kAANOadAh6dlE+ldZ9nGNsE64FRQnlCBXdVWOJxji7zrEIuYnSZyoCxkFxIedYnhuc9bStoyoMhdEUpREzn+MZ3jrasyU8eQKXZ7B/JKCxqlBlJtKRCEiTug0MA2g0w/nbgLFLP6nSy6a6+Uqpnl3cART7/pfqX67whVnHVy4JI+WRPILWwHIiIGy8lGXTKwFOxgnoinF7WSupNCITOQRsHcvVbjNqu5i3yCrG9jppF7eZ1wLMInsZS8e87Sh5028vPW/jrreNjGSexDyWG5kuaulAz+aCDxYTeHksn9O5nF9RQ9bIdVE7QPGuaiIzeBOg+xxwGdnGoYlOxx7ftK1fBFgksr3hR+AhW7SoFvIri7ICjryCZuLJxzWFtjRec7EYYRYan8GdozkH+RIgAWzyaZTvAGJkGCvVYvBd7RnGtmMXxezGdmBStuXY0yv2zTLEQ/YXRfIr7r5Ied6ijdvuWSjfG8iks8Nz5nIlz3frsaXGFgpbyDVqZgI8syWolwXPVlMejC6pTEOeW1wmgDICzy0pdgIGrzGINwHGraoGyyPbqK5vtwOKCUhMX3i/iDKMbfsAkV/+CQKY3hXm7Wv8kK/wQedc+uev3+HHfIUZc37r8f8Nn4btDXMihryBywVcXsHlRpSqTVKXoa42CbsY4xzbwbZeIMBxkcwnabujHHDOmGVnbgN0gPFaidLNk/D9HGFZT4B7Il99jz+lpuAD3uEP+G34OvAD4AKOec4B58yYU7KRmMi0JoAxgsai2twOGF+l7gKVtwLGv1iexdtKdECNsW3n6pLGO87aNdZ7DgqJvzspHAfjFboAWsfVWcnLuqDUjtMHc9QsGPN1CCbpU2UGX+QiP81zKPK+/5QyiiZhGvOo9EpBoIZRCZNK+ioJKFSZFlZxRynKlszI4FjXXgm7Nyw2KLcqo7EOaueYZBmVMYwzjfVwp7RYr3hZa342n9I8bzCnFbpSVEVDZRyluW5uswUK6b+b4bIBYEz7SP12VGgbFVmhnxSBIn3OxZRJjnGLr5Jn8dalt3Xyb2OMhqxUyj4N20W5pVJqS1YaAdLe3h7r9ZqLi4suZ+Hh4eE1AxvoZbJDYBdZzGHc4jCmMD3OoXQ0Tkdzm7j91EQmHnuskZVMgVQK1NLUE2n8Y9u2HRhcLpcdaNVas1gsOD8/RynF/v4+r732Gnfv3t1yd73pXrwqYByyhinIHQLmodPsLlC5tQ6xo3/9mYrmzl0+ma1l2yMpETSoZDueHmAsnEWhGBViuqAzTX48FWbu8A4sr+DFC1SewWwGd+8jLJ8JrGI45xhDmLqfxr0p1Qvb0/lxnrP0LKPGO9enwAAxuXEW2iaeVFjg+3WVEtCZZVLLsn9bOC8GN1n6O1M3PFOO6TSnKDTN5Rq0Qlc5GEV7vhSWVWk4PkW9/TXMw/voQtIDdNLbeIy6l5ZGAPf5gDF59nS/LmwP/ClEiaTCs5D2t+LzEcFjt84tnfzbGKOUvYvTetguvpS9xORFKWaUO87mAp72LkSKebEvfYbxUlg27QSMdQ6g9FK81P00zo9y0a0nKv4loZeExuN0ejsGMcYZ2kRuGrfRyUnppZrG9aykCucbGc+4vnHXj015AYzThYDA5Vjm5cGoZzERllV5YWBf+wTuPgss65DBHADkVwWMerCeSbaZXtfIzqZAMbKzUSI5vO8qDgDt6uinIx7DF1U3P5mOD3J3Q30HNrKlxDK3o97cpp16vNO8MXnJWT1mdVnhM3Ajyxt7ZwL2tGUc0mUAXfzNWG0wCTVsURJXOHjf2sAnAp3BTUy90fiMOnFUjUY3G5eH03fdPltvOklqZiyZdhjjULncSK/k4YtSUMIzFg2IUP0980qhW08z0dhcACIKfHROXSo+nc/QyvHW5AVfP31Ce9L0YHHIAKpkXymw+xzASNJOzIji8SW3UNPd1349AYidgdHWfY9s0K5Ofj6oO8ouJiqW1ATlA3opZuYZlUu+zvtsKOGPgdfh+/xayFn4IfwrrhvYJPtrLrvsTd3sZsdRxj49IDJSG7YVYxBTSWWcDukxOpIwS9a1oBYwXqwZseSQcwyWDIslo2DDmGVYr902g0kNZs4RhvEEPtw8wtBywDklNR/wFV7+zUr293/C2//TE/42v8eMOUXgMiODmWE7wFiU9c8HGFNJanpPSZZ/HphMinTud3fyVSoxHcSiqcgqhfU60JD8VfXYDlxc+CUKxSzLUErkknfKBus05sEYd9Hw7GIachbWjN9URNmpqvK+LxVjjiIbGItzdHLUtPg+zEYMbgKQ1LqntWPTVlxRfRNDd+ImJI2GXCqPyaRmmaXKxA1aE4RbypOpOAAngMuF767rS0FtHUdlRmngvJb+ZmU8Rnle1jlXnwgJkD2ccOebG96eLSi0Jwty0+QV1TOGA4B4G2BMlVVGqa5tctrhHBRGRajYG91or8nIu2dA7YhX3VX+0pnFIZiJbFoqwczznOVyyfHxMaPRiKurK+bzOUVR8ODBAyaTSQdAUiAV2TXogWAaZxgdTdu27WoKCOOy6HoawWHabgie0n2lHeJ0uxFQxnQgu8BszNNojOkMfSJ4jkxinues12tevHjBYrGgLEum0ymHh4db1yOVjg6PawgYb5OL7gKQcbs3gcKbgGJ6XF922QIOSN+j9Z6x0cymoYNT5rQXK4lXnOzBxRlcXAiL9tbbMDvs/7AbE+ILjTBtERRGEBi/R2tFZ8G2UlOTGpC0G20d0m/YpG2TxCQGpjItnd1+YPaU3n6ZeolZdLWkA9GZHvRHPdZ6WusxRlFVhswoRpW88NvzBdnhBF3l2MUa/+RTmJ9BNYH9I9SdOyRezXIfVf+5i2WMgDEFkbG5UmyxiNeftaRfzS6GUXX3N55mjGX9RZQ0dQZeAFmbbUsw8wCSjp/DaC2s4nwqLNqDT2ByRceeKNcDqSyCRMVWRzStVouRTKypf4jN5FhsJsfldJg3cDQ1/d/Sbh+QACW/DTQ9sq0m6wHjEMzGPI3G9u6wETwvJsK05o0A5xfHEtdZboRhPDxLrkcE6cnnbQxjyqbeyC4mYDNegyHzeG1e0q47ri8az/iqZWtURMm+Gkc70jQTucEuB7NS3D265G4x57PlDLUwuMJxcG/OveqyY/VyZZmZFYVqGetNkInqDhhaJA+i8xqLZu1zlq5k6UrWLt8ChGuXs3AFa5cHcJix9jlrn3fpMzJtu9QZsfRGNwIYlfK45KGKz5oO5k3egFfbD522Hm29AOVShfyK8uPPFopm4nEZmLVi/nLCk/Ueh/mSB6NLxgernQDxplQZW4Cxk5PezERuVbanUzaxB4fxXtP/Pdk14PBllCHYaBFw9IhOgnnIOR/yFn/1p38qEtRvwg/5JY55we9s/qnIVdNUGC/pgWMbQGDYTwpnMwN7JRyHujcFlQLCCRKLmLqeTsN0lexvw3aJ5xRYSdNCnbjdtCFtxhUzCjaMyiVbuRBbhEG9CvsL7rD60QKTWX7MV/gaP+SAcx5znz/g35LYxsfAD+DbfJcyHJQJ1jrZ1ud1ljECxryqvxjDyOcs39Wum7ieOuPLKKkUUYU3ykZtmJmCw1LeA5XxnDcZdx5coQ7H1E8tL9YVY2P5ymsv0CdV/67LtMQXZkZiDaNMtMub6JJYQwdNA5saNjWqbqSvFEtc1jQ9WGxamU7c4RmqreLfnNgH0R5r9dbi1ovjchbAcPqLdV5iEhvnyZVmkmsyDbNc+jwvG8NJ0VIZmLeax8/3cc/XMKswpxX3Di871nIXo3jTvBjbOASMKp5L1w3bJk7S9BnDqnzvihulqHJt9FbezV3lLx0s7mLaIpu2Wq3QWjOfzzk4OODBgwesVqtuPtA5hca4wCjfjEAsOnCmhjTp9wjKbOIymbKJKdvYti2bzWYLPIKAytQBNG4vHkcEl+n2UlfSNB9jZIDSNBtN03Sur3Vd07Yt6/W6A4V1XfP8+XOUUl1M42Qy2QJsqenP8Np/HjDcxUQO290EHofX9DYG+sso3Q+HXrJownTrPctlg9aK5dmS7PQQHn0NFpdwddn/ER+HJEzeo7IMslKAXL3ugVxMIBYBYvweWcAIErso6YCMrN1mH5saNkv5TFNmuNAuHlMbXpTWwmYTpu3W9lRuupE0nWfhWZJ75LzIUSXbhqeuHZta2ta1w9didFPeP5B9bjbw+CO5R9MDKCuy/XGXmqOTvCbAMb6thoBxVwxjZBe1idMJiOyeqX697qWY3NdUitqNrn3pT5Tc3pguIwKMGE/YGmEYtZPYvINzePBYTF7ifOidQr3u2bsOiFl6G2xDZx7ZmdMg4M9mfT5GYCsWMWU52lxyINqMrXyL1vSMYJy2AVA2RQCXZnt7OsQwgvR5tl0ieybTaXE33QS1UZ0LgF1XARR6ied8fiLfxyuRyk6W2+xhvK4RMN4IGtm9bGj8M2y3y8RIJfv6y4pZ7CSo4YXVyRk16NaTrSR5fT6Hdt/x6ycf8Vk943Jddvd/Uor0znlFqVrGuqb2GXM7CjGINqS8yDqAWGM60BjBXx1cTwFy1WIQNtElv6aFKzm3Y5a27HIqArTe4Lzu2MXGGhory9dNRmsNzil8TNYJeOP7PJ4ZdCN6qgeT8TdnGo+pw9/MBjG32UB9EH6QtebHZ8doPPfKC4rM0o79Vrxhzxwm83YBxgT0DUHitqx1W47axyzu2s61l9svBizexkBdIQxjteFPP3mPb/E9+K+Bt2H9Fh1bNvmZ67cV4xVL4IiObVSZKP3yTPr7IxMAYwazidRRlbCKMf4wmtjEsg/cDZ+p22l0Qo3dsQkdwGyOYDXNqSnYUHaOqCOWLMV/lRlzYfVSVnGdfD5Hci0C588PmDPjMQ/4Nt8lw/KCY5rvhP3/CA425zziw0SGakOajh4wpixjChhvjWG8TWr6hWWoil9EzGKUoGpibJuYoiivaZzjsnYYBc/WigejNeO/MsafLdlcZESn4XIW+zMelYfUGK2F5aaXlTqHiukuvAuD7AIaVd1IbdvE3TTIT+M6sWxqWKxgHcFjeJ6to7NNB1zjcTV4q2jXGttonFNYr7vBrlx7mrB6EcbnPb0AwnqPw2O9Z916Vq0cx9pKXsZ5a3g4qlHAssm4+iD0g44mFKXlMHchNYdsO4ZXDiWow8+dMYwqsoax75u0Uz3j2C2LQJH+3qZSVJXMu/35+AIl7ezfBABum06BSwo2ovtodAE9Pj7m7bffpizLDpgBneHLLpBSFMXWcUEP6lK30uhkGhlEa20H8GJqizgvzaeYtovT6X5i+oq2bWma5hpYTN1V0zjK9Dqlhjvee66urrp8k+PxmLZtmc1mnJ2dUdc1FxcXVFXF3bt3uxyNuwBaarDzRRjGYfuhS+qwTSzp9ob3eljSwfbuRzFsE69R8ql3LIs/GoBCiTPUaJShtWL6YB/1jV8W5sw2PYBrGpjt9X/Q0xjDctSfZ+eCmoDEyCB6j7ctvhX20FuLb2sBhG1NzI1IvQkMoxcJqm0EkEbmsW3oYhbbFjZrWK+gqfGbdWduE0fldJ6hg1Zf5boDYkmoZediqrXCOc/FZY02Cldbsr0Rrm7Jj6fYp89hs8KfPUWNpvDwEWZSisRVD56LZPomwHgTw7jrGYzHLcvS+9m/vqIrapwXZRi7ypac8AYA0E0njFL8rpNlKeuUNQL6Yu7A4xfw9k+EObNZtzptJuAoHl4Kjoqm31/sJNsIGOmZvuhk2uYB5AWg2eZ9agtrBPTZ0Dl2cV4Abi6AwxQsNjnUpSxvit4BNYLFvJXzxG+b7qTXKcpIdTApuZrJvDYT+W2biTz37FAA48W+XLO7z0KOxhtYwhhHeBNgvIlhHN7noQtu9zk4F5O289vrXCuDQbedEtUw7ZOHufuu03l9W5trXK5oKwUaNkdw/OYZh/mSjcskZyGgWsXRaNmzirrtYgz3jVDdRjnyIDCtA6hzXtMEBzyLYuFK5m7UAce5HbEIbKP1mrUvuHQjNi4P6xo2LuPKlqxszsZmbJzp4n1qZ1i3Gasmo7GGusnwTkNyLV14FlG9mdI1Vl3TyT6Vg2IuAFC3YEce1SqaqSc7N2yanB8v73CSzfnq8TNs2YO7IRu4HVe4PX8Xw3gTi9iD0OQF1bVJpKpadWlUvFL4VCO2VdLO/i5tabKTXezSTbLUEyR9xCPIq5rfeu0P+A9e/pfCnE3AhpCFOTP4ET2rmMYYfhbmBZfT1gogzDOpowD0VAZqH/IjUBHkHSGAcB8BgRPgOHxGp9M4LzKP0c2VfhvNXZjvVzw3x2woqSk6sDjjihlzMixjVhTV5vq1qZK6Bve9CUW1Yc6MR3zInBnv8T7f5du82N+HbwMfweR/dDzgMSOW20xiAI5myDJ+LsN4w71KQeJt93OXm+oNZYsVVLqr223kGsZUGRE0pOtHoBhDhUZUlNowzTVGwRsTz6+88wS1V0Fju67Uxml5FjpWMYkxnIYD76SkqgeEzidpxpwMXK/W0jerW/m+qQUUOhfmbeTTecmnWFv8qsFvWnzt8LXtfne+hnataZaattZs1hnWaaxT3d/sUnvK8ErPte8YvfT1nSnxVTBa0lg8X0u72ikO8pbaae6WLZ+sRmxWGfbjC9T+hL2veWaZJVeiwEhfKzfFL97GMA4FDCm7aJK+eLx/qus3BbwVXFFj/KJROfpz4hXjvl65DBmldP5NwPG2dWKJJi0xjcbp6SkPHjygruvOFXS9XjMajTqwGNdP3UZ3SR1TwJgyeU3TdOunyyIQjLWuazabDXUdRnUH8tIUUDZN0227rutr556CqAgeY6zhLlauqqoOxNZ1jXOO4+Nj2rblyZMnXF5esl6vOTg44J133tlK9XHTvRver11sYpoqY9f9HQLBtNwWm7pLhqqRH+EugLiLOVLxeLjeV0v/JhdaUjxorahmFdXb9+Ctrwmrp40AsOUKJhOY7W93/rzvLPI7d65YUoYxVqXkswmamnS5UkF62nSA0G9WsFrARvI7duxiXDfGMLrAbnoHdQ3rtWzPmO5YVW460JYXhjzTZEaTBbAWiwmAbjzKaBthFt2qxluPvn+Kry3+z/8cXj7Dr67g+D76m98QMHpT0bcDRpXEJmod2ECtdprdxOOL93jrniu2GMbYRtKtXO+IDeWI6fybgGMaAzdcFksRDFq0EzB4+kRYxTq4pLY5rEeSizAa4HSMiqKLX7wmdVQ9Cxir8oJpmrxfP13mtIBEGySodQ6bSsAZbMtWI7CM85tc5sW8h931Cu1TEJWHc85CjOM18xwvALAN0tg6ANDjFzL95B5c7gnjeHAO7/w4MJY3lJRlvIlhTK9hBJG7zG6GktS0pKlSUiDcOcIOj2vwu0sW9HXX/BRgpMtCcYXGZRLT145hfWr5K3c+4aIdkStHYw16rfCV4055haE3l7HoztlUYg77C+vQ1F5YxVgNHoti7qTjFtlHiw6xihKXuHE5a59xYUectWMuWxk0ayPlDFivqF0AoU5TtwJs28ZgGx3Ale9BlOnBocuDKY1JwGMoEUi2lTCuugXdiGTXHjVoC4vPJny8OOB5O+Mrk2cUb8251RH+8wCjogOMHejU27+5YSqN7lgH+9mKY4z3emf4RYZkJxwyRDfELu5kmJJlsUSwWMGj45/y9/hnqH+EsHprmJfCrL3ORz1YTGP8oklNjDmMi0xgELO++sjmHYdGJjm+lj4uMdZT4EE4FtjKpUhGF8PoKzjfn2LJOOeQFxx3DF9kRUcsA3BrOdg/h4NmOx1FLBFoPYL1+Yw5M15wzIaC3+YPmDPjf+bvwbeA14E/hP+Q/5QZV9xUPg8wmqztAWPV3M4e3hTDyI62W212MItKo9V2ygwgYZR2ze+dMdOSekqMyCmMxmg4KODd2Yq9Xy3gagOZpqkN8zZjv2gwx0WPfiA4k5renC8N4XI+AMZkEFxrWWcVHr5UpqqVsId1K7Vp8YsNzNf4RejPt35r+z6oFJyFeiMpgDZNxqrOpd+hfHfmufZdn7MyUBpJRyGxhklfKvRHprmidrCxsLSa1inemC7YWMVPPjuiebzBXywwb8z4aw+fUAz/CKXX+3MAYwSNit5zcGgImLbrYhgHf3s0mtQVtX8OcvSXJUO9TU74KlLD2+bneb5lcvPuu+8yHo87YLharTDGcHJyQlEU3bZSaWiUpe7aTyrx9N6z2WzYbDZbcY1AZzgzZAUjmIwlfk/jH5um6eSjEWjGYwK65bFECW1qTBP3rbWmLEvatiXPc/I871jPzz77jIODA+q65unTpyyXS4qi6IxuXiWX4vCe3eZeuiuVxq62cB1E3sRExpKOqgwHX6PJzU1mNwCK3c+URlEoxaq2kgtwWqJ+7Vsw2UdND0Bp/NUVKjOo+/ehGPUdOGfBtfFGo1IH0q2YxeimEUDhegGrRf+cdMY4eZBabEtIt5hJSAK525C4qoa6xtc1frXq58cUGoBrWlzddhdTZYaikByIJutTskhWDkVVGprGURQaXea4RmQd9uNPye4ewGaD/9lP4eocVY5Q77xL+eiuOIvlvW4iZRdvAowCDhlIUmFodtNVHfvX0cRm+0UYa6/ZV90zlJbb5IS3Sg0HLNSwKCfAaVXJ92oN7/5QUkZEYLgaCaA6eSFxix2zorcZwy3H0gT9RkloZPo2laTrGHZOjQssZOxsx+X030m+p/GPTSZ1U/ayVK/6+Ma4PG7Q2B4wxhQeXtEluy83AgrzRmqbyfLP7sDBmYDHp3fFTbaog9HNZ73Bzk5AeANg7Bhadiy7qW26nbDetZyag4GCa8+A7p/9a27FqmeShg9jyjDuKt4oXKHIVg6vwZZw+pXnnJaX3C8u0MqxXud4A+PjJbN83QHFxmVdLKFFS27F0JGOclKHsIrWa6koXrZTXrZTbHiYbHhIKtVg0Z2ZjQvLh8mrXXhga5dRWyO1NTSNYbPJRIJqtTyMoV+oW6lyLQJIzJWA5MA4xvvhtcQt6ja0yUEFOXT2PKfZd6ha8eHzI55s9tnPVrx3+oT1HYvX/e/hJpbxGmDUw2XqWpvr21Bb7dO4xS1X1F0DBUAS+cftCGHHInYvkpuIgMUP5fsDPuU//ug/E1D4I8DCR7zOiCV/i/9VGESbrBvBW5ClxrHPKDHNTC9JzTNQGQL+7u84tgU9k1gOlqfHH79HQLkP8/2ccw74jLshu+I4pNAQQ5s5U66YhdWFXZyenMPBWsBiBKsRsD4EzmF6cs4BZ8yZYcn4Pf423+J7POeEP/ubb0LIu/jmP3nG3+FfhD2vtqWnW5/XAWNR1TskqXy5dUfZikwbgkUlJjdK6WsMUgSJ+gYoYHxGpTPmTYNRMMsc33r3E9TxCHU8BaVYLEty5Xl4fI6eJLkPUxMa5/vcinE6fKr0V0KwAAAgAElEQVTWopxDRcA4X0qNxEzsJxWZzIt9qbAN7zw+lafG+bXD1x67UdiNod5krFc5rdW0TuM95GFkcOMkZlGul8QtVkYkqbmWnqbz4PAYpZjkitp6KiPtaife1D+ZT3gw2rBsDc8+mOBfLlCTipNv1nxluiZXAZQq37GMrxK7eI2B7NpfT6WhFX0/bPvJ6MSnuvvWg8bPYxe/ELO4q9wkXRy2uem71rrLsxgllQ8ePKAsS6qqYr1es1gsOtZxGIMXZaXAVmxi7LQPXU299922UxAZWcWbzi2Cubj/yCimAC9uI4LEYW7GKF3NQ86ZYcqOWKLpjzGG5XLZ5Z9smoazszOMMRwfH6OU4smTJ91+oitq3PbPAxhvYhNvA47D/e0yu9n1XNxU4t/ZlFkcjpBEEAHboFEHkLFy8kMcVRnlW6fw1i+hqonkOVxdweWljHLN9rdHu5QOLKEwyT4d9UqBYMoe4kXeOp72cYhWXA471nAoKleKLhYy5nOMtnPxZRjZzrj/LAsdV7GF9o3t5BaRAdRagKLRvbTTe4+znqZ1mExxtWhZz9foKsdtGurHZ7Lte/dk+z/7MV2s5sOH3bZVooX4fMCoOsCoTf8S7mo4tXicHRu59aKLfTS1ddnSZa/6ArtJujhs04HGdL4TMLEp5bNaw92nYmJThjyH6xEsxgJSxsttdkp5OlkpBDAYq+rnuf6E8QrKtWzbqR5IRlZRbizXGLUI5qLzaozjjx3pyCC62J+3bMk2nRGmUiGSVMI2Y7vuuii6FBrGitHPciRxiU0OZ0cCao9fyHaf3KNjVu9+1rOLQ/fTVwWMMb3H1j1N27C9nRQcXgOYqTx110DCTSV9IG8ChiplmfrZPvyWzFrklrZSrO9afv3kY46yBSfZnJf1BLvIJS3JqHc+BZGcOq9ZOunhNz6jwdCEGEWA2psuPtEhgPEou+Iku6QJyxqfhZjF2GFwfSW4nGqL85rSyE3rGEWvsU5Lp0ch8lMPKqTO8OECK6tQNjwzWf88ekMf/0d/L3Qry7KlJ1sKE6kbRXGuJP7xqEYpz/dfvEauggPryaZjF68DQF4NMMbfyqD9ME5xCCyvg0vVxS9GAPlqJWUVb1hnJ8tEz1B9LJ/60YLv8M/hHyES1J8Br8MHvENJzWuPX26by0SWcD9Ml5JyOC8DKARUJbVzPs3Ctj+idzgt6UEadM6mW7kXNwiQjPkcoytqWN+0AsAkTjELqTMkctFgWTFmzgyDZYokby2qmmq63GbqYtziOTCFqz+7w4cv3uKYF5xzwB/xm4xY8tv8bxgs/Pt0sZp/h3/RsYsxZjECw+w2wGh6wFhUEW37mxnFLxEw7ipKmQ4YqIRJ2moTQANsg0YTpIpXrkYS0yt+abZm8msj1GwE+2P8Rc3ZssIoz3i/gSzZdmQJ14EkSZNzxr52Zwzo+xjG2VhyKLahH9QGSWmMSdxCTkoGpDMl0vdC9u/rQCJZcFahAkCzTuIUM+0wWhxMlfI0TlhCpUSSCgLScr3N1Hkv8Yu19SH3JJzXMDKWtVV8tMrJteONvTlKeVY/WEGmUUbx9uFFxy72XSk/+LwOGBX9MUSjnK3+Ufjz0zuoxlAd1fWTr6fQEFfU7djF211RXxksDh0/5Vm4Li2My1KDlV3AIo0ljHGARVHw8OHDLnbROcfz589ZLpfs7e1xcHCwtT2tdWcsMzyGNE4ReiAZwVpRFDtBjbW2O6d0nfT44zHHmoLEuK3IHKaAMLJ+EVzG4xsCsrquqeuaxULeplGGa61lPp/z8ccf8/jxY6y1bDYbnj9/zsnJCQ8fPuTOnTtbeR6H92CYciQFeMN26bncBh6H29n1POySoMbBoPhgw25pYQoMYv6Y+INI/l53Iz/xB+2BotDw9tswmgkodBYe/wyuruDwEO7cA50RE8GijchAU2koYUfR2CaWztBGobIcVVR00tUA6uRErcwT15kgqdBsuaA6KwA1VqV7JlIpaZ9lUEhaD5WFtBaFfPfWoYzGOd8fbnefFHXjqDeWq6smPFMOu9jgW8vq5ZL1Dz/C/eRDAayrBf7pn6PuvYF652uUb95Bl3m3z+7tFT6V0cGR1YT8klKV0T1gTCWpatvMJv3s4hzjPVfqWv6jODiwqzu15fgZn68d0sIIDiLLF4FDNEyJwCJ2FJ3q3UaLBh5+0scuOi1GLssJ7F2K3DKCmrjv6Fw6PIZoGhNLZBWVF7BW1FwzcQFhBLWjA21xHZ1IRZ0OMY4hhjGCQR+vD4E5rLcBoQksotMyHY8vBdnaifS1LsQFFYIMt5Jjm0/h44fw+IGc+6aSa3TyAh5+BHeeJXkek2uVXjPtZGBeh3ukkvnxXHeZ5ewEj8m9VTc9D3BNrioXMiLTpNeQ/r67jQRgYBRea7oXlE7BA6JYsF6Or3UoJ4Cour/guLgiV5bGGz44P0GtNH7W8nB2HlJb9LkS1z7r4hFjMXis11tOp1GOKrkT1xyYJbmyGOUxymGiWY03GLzEKroMh/gh5sqRh9GHxhnWbc66zdm0GUp5rI/GWvJQKePRuSWyiB0wNHLtveYasx5/ZzoY3OSL8B5rPWYDykIxh9EnGerTCmc1yzrn+/OH/MrsE756/zPWJw6fJYMwAyDYxSeafjqt8Y9MTJcR5ai7QGaXa1H30/7aiyo+K8MHKiqMUrnpiJ0OlxFY3AYuUlOXK/k8ODnn7/OPBchtwvrfgQ95i2/yA/jDZJ0oPY3OpUmJUtPU6VRVAUC24GPuxGhsE8Eh9OksTHL88VgjUC2BvVD3Zd1NWWDJuljBEcsu3cUoAMcZc8YsqSkp2VCvi/56pdctGtz8Sbjy5zMec58lI95/8R7/Hf+A/4HfYcmI9QPg3wV+F/7qv/xT/ja/t5Xn0WApA3AsqSnZiCMry266ZENhNh1gzKsaqk0PGF8lPUZ6z4fPQvqZ3idiX7IHhVplaLXduEvKrjIMOTFlhkIH8CDTDo9VLQ5Hg8V5YdHePX2O2h9JX6l1LD6wnNcFp+MVo9ehc24xRr437VaKCzkwTWdsE0s0uVFa9M6TkYxIDPtSNulLtaF/pJXsK1qjtx6/cfiNw27kveSsKCRUYPRyYymzFqM8uZKUGYWGXHlarzDKY5P+qVxP6X+urWPVes42cs2jwU3jFc/Wiv/3YsqfvjyktZr6ymD/zTOyXzrmwXtXvD3ZUGlPruRwpQvlu0+pPUgd1q0YRtUfU/+nph90NzpAwdiPR5NdkxtH4ujzoeBfmFn8omVXjFsEUqenpxwdHXUyzuVyycXFBfv7+5yenjIajTrgkoLBCMAicNyVTzFlEVPX0SErGb/Hzzg/ArwIclMwnMpYU5DYtm13fqnBTQRgKdiOaTOUEodTay3r9ZqrqyuccyyXy67dRx99xHw+58WLF91xFkXByckJ9+/fv5b7cAj+UsCX5mbctXzIDKZgMr2HQ1Z5lzz1VZnFL1qGW+1GWoDRW3dRpw/6eMGrC/yLZ3B8jHr9TZjuCwhLwRwI2xfTXKQup7F4L6yj76t3TrQ7gZUUsLctpehyKzoXQKSic1LNsnDgRqaVEhlsBIlaS9B30P7rMkdnCRMcYjSNjoManizkPhyPM1rrWa1a5pe1eO6cLcJhep7+6AXNiyt4EqzjnBWDn/tvwJtvirNZlKEaLbGSRhjObhgM+uXhJvQy05TdDvdJkzCKKmEgVRgU2AaFqvu3DSZ/EWVXjFt0RT19Ckcve8fS5UhMXPYvZNloSZdDMQWDxtHlQBw6mkLfdlibAPigZwTjd+iZx+iuGo1nInMYAZMP4x0mAMK8kflt3gOvvKFzold+m3kEOfa4zfFSgOG6krQhTgtgBrkuH70ujrEvjvvjLDYCGO9/GraDHFNkHYdMY3ccbgfTyPY0g+mtQYKEcYzbjJ/dMQy39SWX4f2OvxtvYHXXc//gknWIF/y0OeDl5Rj2Wo7uXHK3uqIMpjYO1TGBpW5ovAkpLrJr+RSjFDXWyCbOXcUisJK1z7ChKxDXb7yhcSZIUzUaT+Mk5qcwLVo5jHZ4L79HYxzaOExmUdrjWg1aWFOX+60ci1sADVDO440AtHak0NaTrT3FlbioZsvwHrCe6cee/ErRnMmxt86wny35xv6nZKfLTtbasYK6Zwc7sJcehxq0T18uCZDdBor9/C6nYnp/U4AZe3G/iHKTgrWC75jf5c3vPevlnV+F/+/B2/wa/5rvXPwvIktd0DOKEZgs6GMNE1axK6m0tAwgsqQ3rIHe4TQ9xlSOGkFknF4gAHMt62XWMg4S0MMAEudMu9yHB5wzYvX/E/emvbYld5rXLyLWtKcz3HOH9E3nYKez7MouFzZlVNWNrG5eNEhIre6WqkUjkEC8ASHxGZCQ+AK8ACEBL0EltUQjWggadReoupoybZddZZOVLmc6bw53Pvfcs+c1RQQv/hFrrb3PPjcnpzukpT2tvea9djzxPP/nCZtjBUAWNXkR/ndLejnqNxAAfQ/4CVAq3uMbADSrEf/sn/xN3uYtidCI2/kY+N/g7/I/Mw61kQm2y3aMwDG+H7djh4Hs6hijHLW9KsUdAkPYBY1w/fyfgVn8rG1fjhpZqERp3py2nHy17OsFL5ZcPh3x0njDq3efY86CRlkr6S9FJjBLgrt8cHffz1OMwC8qqmwAmNtKjG1gl42MfanW9Q6prQvso0hSVbA0FfGW9DmSxJIYR562GO2prSEJ7GJhBDTKPguYi6AMwHpIwsD3UWponGfVWJ6VFuvhopbj1nr46XN4UiV8fHkUttPDpCD7jRnfvHkh0RyhjxqjOhI1ZBTDdqgee+/2eQZTOIQ7TCN9jaXqwGToi8c+lY8MY1+z+it1Q/1Vtn1QcuvWrU5+WpYlZVny+PFjjDGcnJx05jaHlrMfmTF0UB3OM3Qt3QeW0axmaHCz32LdYASDQyCZJAl5nndmPZFtjCxeBJL7ICuuP35HKUXTNF3eYjTZieC5qirW6zXz+Zw8z8lz+dO01lIUBS+99BJnZ2c79ZBDkDo89ockpde93penDo/rPii8Dkh+2S1S8CA/mDt3xiRvvAKjCWxXYtxy/z1IEtTNmzCdwfjo6oJMLMg2HQj0MdoiNqVQWosLalPh67KPuhgCxGENom2urqutZb6Y6xjX4ywkKYwmqLyANBWQ6JzMl6aotAdt3WYlZjB4oTu5Z1NbkpC32FpPVVl862jnW6raslw1NE8WMBrJ8QJoW9Rohnrt62Qvn3XgVKVGQGocwooHfAAIdyWq/axx2jW76QHklfkgsMg9SBz2v77sK2sftNx6KqY2eSUgqSzg8UsCfE4uYbQVEHVlOZEVsz1TGesFh+vSLjifBtZuH1h61UdkdNEae60NBjZp2zOfEYgmVrY9mvVEWav2dHWJESDGpm2//mRQZ9hkdHmL1oTtNSJJrQLjOD+Wz/MQJWITYWRfeiQS1QhOTSjvYe94H5KmHpKlDtnFnRpFdr83BIU6zLvvejvItP9yWrywkeO6uWVoXmqYpRUX9YTzZsaPnr+KMZ7J8ZajouJWtryymFRZMtVKZIZX1N5QumwnAkMjxjelS1nYgks7DvEZSVeL6LzqjG02VjIY99vWpjivmCQ1iXK03uC9wjpNYixF1pBlLUkSqhqdCheV35GcxuYHLr0RKKIUugFnFG2uUNZjalAWki3oGtK1I1sAmWMcrIUrl3IzXfG1WxdUNywu7ZnMDjx2x/4qIDwEEjtDm3DD2ZGecgBUhu3vwOPwpvdlt31p6u/D7/MPRCL6CvAq8PfEFOZ3+BHp+8D7B5YTcw9LeuASXUxji8Y30dH0Nj0jOdyGQQ0i0wPrOg7zPQvLC9/3BYxWDbfnF5xxzpQlBtsxiJFRjNLU2MZmg23DhkagmCDMYsxbXAGPYMOYe3wNHqXwM/gx3+UOjykehIVNgA/hr/zxL/k+f9SB0zFbRqGG0QRXoCv5i51jajswvIm1i9ewi+y9/iS5KoPHL6nFTL74/PVZxlsnC5KZws8r/HxD87MLEuO4dWNFfmxRp1f758L4mX4AvLUy4D2sMdRK5qkbcT5dbwVYDqMynBeWsrYia63bK6vypcU7jx4nou5oPT6MyZvUUYxbiqIhTa0oIpzGKEduLKn2AbT125Wo/q8g1f2gdmU9qVZMUk3rJEaj9YrLRrNpPc8ry6NSM0kbsmk0A2hRx2Nuv7nmtXHJSDthNAObOfhL2JGlXgGHA1AZbjkdu6gGn8t5YyA/DecUhenY5F2QqDnQmdi5Jj5l2+/0X8c+vajts0/D58fHx0yn0w4ILZdLNpsNJycnKKUYjUY7OYlDoDeUog6loMM8xGHOYqxRjPs0rHPcN7WJktMhQzcEiUMgBVwBhRHsHVrX8Bjs50FG1jPPc9I0Zb1eY60lTVPKsmQ+n/PgwQMWiwWXl5dcXl6ilOLk5ISTk5NuW+J2DB/3GcRD53OfmTx07j4pHuNF5jYQRlMG/+R68LhvXLLfuo5gHDFRVz87Ph3B8TEsLuHiKczPYTlH3bwDSsNk1gM62/QMn/O7UlTvOqbMdyY1iq5msW37GkUTpBN7rCPINSXsZSsgURthMLXpC7a75Qw6bEki+Y8RhLctlGUfQBuvp51riq5WMa62bhxN4ykKQ5ppymWFt4400ZSN5fnziua9j/AXT+HpY/zzx7Kgmy/BzZuy3AE47cDgIYYxnpQD7KJIUntWsAN+ihCjEabBuRye237+qxfJvgvqPvB4YYvz7n13+Px4LgHz6zHMj0RuuRkJUFRewGIEdHZoQKP610AnG1VeAGHngBo6qHZQoxj3yYc/r64TO3ge6we17Rm6DiSGZUcTG7gKCiPYizLWoRPk8BjEdcXPYkxHXgrwW49lf9IWylzA4oO7sDiGyxO4PJblnFzKFLclbkcEcIcYxu48HGAXr4vL2HFFjaBwb2B7+N6ha0TF33T3Rn/B+k+4UV2pVxxcsxF4VMeKbFJzvp3w0fqEjzanPC9H3DpaoZTnNN9gvaZyCZVLhPELsRilSzuW0Xnp/GgcpU9xyGuHOJ6WPutqFDPVSg1P54iqOtMbh+rYy61NSZUjNy2JtrRe41C0TqOUJxlcVIl2GONQ3UWlULX0grz2OzXBO8cnHn8v85jGo1uPzcXgJtmEazJBGMe5J3uUcrEa8+HylHe3t9HK8frsGRwHV8QBOB0yg1cYxnhuDs2jB+6o7D7u5DDGIf29/bre4GjErptlOnj8BBRwiHXa++y1f+UdvsnP4TcRl8/vAG/C1995JCDnfehiLYZAL74XmS5DLy2dDF7HesX43ShljZ/Fz5PBciLwOUbA6JpeHjtgG1WsYwTG65IxW/KgWd0w5pwzsiD/HAZZ9MfA78pyWwQwXiKA8Sbce/w6NZm4xn4MT//4Vf4Bv88Hb96Cfx34vfC9P0YyKqFjFGV3eqZxn2Ecfn6FXSwqKPzhc3gdKBye2xcARbXnghqfa8Tc5kVtv15xt08mz18awelkS30Ozf0S+3BNfQHHX9lKXfNp6PNEQBeZQOd7RhHoHE+16qIvelWX70FiBJBa9Z4Nznfsonex7+XwVQuJRmUalShhHJ3Ht7Jok/Q3HZN4TCKqCIDGaTZt0klA471v+BehFDjvsS70qYDSOmrrGSea3EjtYusg14pV2/J463l7fsTiaU71kcV9/By0Inu14CsTGU0egtM4AH6IYYTr2cWhPDVua5w/uqbGwfkr/fMgPR5eAy++Tj5De5FE8Yu0GCq/3W5Zr9e0bctms2E0GqGU4ujoaAeQRXAV6wvjdgzB45AZjM+HrFcEkUBXIzgEa5GFHEZzDOWXMadxyKLFrMjRaNRJa4fZjHG9kUWEHowNtyfOGyMzoktrBItJknB5ecn5+Tkff/xxx0bGyXtPURQHWcDhuTt0/vbZxeF7w9fX1TvGdggoHozOGF7ofDJIvLK917yfKU1yOobNBhbPJeNwtRSAqDXcuCnMXb/jwiK2bQ/4oANg3rYCFEPzEUhGgBjnjceg2srk+ugW2gaakmBPSpfpGOsWm1qAoB78cPNcjHMmR6EOIIG6xtVt5wDmnRcTGhMHBASQyebEa0qur7Z1VJWwjM55XGNJU02iFBfPS6oPn8F778l2VVt8Xcmx8x4zzekoP9hhDwlg8OAJucIu7tYrymFUe++zI0XtNfnxvEfX1APXxAF26jO1a+ZPG5isxfV0PRUGbzMWgKi81CuawYBnBFdW08U9QN/pjNEXsUWWsGO96EEkCJir812wZrUwfNHURkfgFC7PNhXgOmQK02DKM9rKfMYOshkHHeyk7UFUl6tIvz1Oy7FqE9kuE1hTm8g6EisA8fym1C8qZFubpI/vKMq980UPGA+BxeGxHbKLO/LTwbkfgs54bLprZo9RHALKK02r/p4QOzufpV3zX+lSTTuGpkqYbwvKNuWiGnOci/PpremabADItPJYNJVPuhpGoGMTRcba39dKJ7VcESCCuKfq0B2a2zHzdtzVKDoUpUtZtTnOK1LlSLQN0iz5TtmmNM6QDC6qIm2Z5jXTokJrjzIe1WpUq/rfkxfA18k7tQAy5X33nnISt6FbMLUMrijnUdEdNVEUl47imaJ8MEErz6IpWNmCdSvWwTb3PfMHPTgcgr4Dp+M6B1T2lrUzrB9B5RXGse+9HTa42e/9f8aQ9esw5U14g3d5wF2evjkV9u9rCEBs4cYPy95YBgQIRuAXAd9w+RFQMngNPUCM88bv3UYiMgp64BjzFw19vWIEdCD1ihN2DHfSCyg+glsfrcioGbPhkhNWwclUNt0wY9mBySzWB0ZpLfQs6SVSuzj1uDJjWc1Iby6Edfy/4A/5N/gf+ffkeNxGjtsNWcddHlyRnO4yivJ6v+2zizty1BcxivtS1Ovm32tDJ9TogPpZ2nUGJ4VKuZE51mXG+nmK3YJ93pKeyGU+udOg0sE1rpWAtcYGhVb4LLKE9R4zGFMCIkCM88bvrUuZWts7nzYtbGqZLxF/hE63CVKz2PgdGXVSOLKjltGsQWtPqi2lNdRO7xCYechZhB6MuUHXzjphAivn2FphJK2X2kWJ29A83LS8vza8/egmaI9ftfhtjd9ILuUsFQOx7raiBn0cenC43/bZxaEcNQ6+R1dUMQYM1kZqV4o6zNHsDJC+bDfUz9uGncTZbMZ4PO6iJyJoG4/HHfAaZhI65zDGdDEaQ6OYIUsXZaMRnA2NXYYRE8Pvxu/HOsNoFhNloVGCOpzXGMNkMiHP8w7Uxm0bAryiKDpJ6DBbclgTmaYpzjm2221noBPBHwiQnEwmrNdrHj58yC9/+Uvu37/fHZfJZMLNmzd3pKefBAD32ccXyVH3geYh4HmIvfx1yFH7ejbFySwlORpJHMR22+vhZ8cCGI2BNEOlmQAwa8GkqDzEaMT4DBU6iVEa2tYC7JO0B3pJFqSriTCCXUdBgwr77aN8tJApSWUqJr0ENQLPWL94dCJAMZ7LvJB5rBVJaGow46x3Qo0yUaMD6ekxiSLLxPhm1Vha77GBbRyN5Hvew3SasmwtH3+8YvXj9/HvvyvrdRZmJ6iv3O1dUWPtotp97ABjML2J1wfD6yYa2OxMQyfUuKgD83XnWF3pw31p19SAyZotRGLaZOKM6pR0eMfbALyCIUtiBTQ6LY9ZI9+PBjcRvHSMYABOSdODmiTUE8b6wkPSTI/Mk9YyGdfLQtOBcUxkCo0VsJtXPcsYt83qXhJaVHRupVl4r4vMCMA3beT5dtzHckTwB/LZZCVS1IdfgV9+He7fDcY5Rrbj5nm/nh25KQcA4KD+8FDt4rWuqnAVeA5Zxn2G8vMMLnzWpumcNKtjjR17fK2pqoTWiWvpzWLFSb4lUY6RaRjrmly3NN5Q6IZjsyVmI8oixcHUhhrFjcuxXjPT2yBFtYx1RapaCtVQ6AYTAGM0udHBHCdVlmlSMU0qct2Q65aTdMMkqUiCU6q4sSpS7bgx3jLLKtJwUWVZ1DeDTz3eeGwGLozwdzJRjQBFL9eES5VE1KwduhUTIOXFKZZwfpqJIl1ZJg8d03uGjx+fynFxhq8Uc05urPCRSVC7AHAfMA7rJq+rXeyiMHY+6yWqV5YfgaMevvelXUnShgDi9+Br3OMZZzzhdu9S+gvglwggmwMLBDTm4fExfR0h9IxiEt4LstHmgl6KOg+Pa/r6x/jd4fcr4CJMcd4H4XXMdAz1iqwhfQdxbw1Rh2ecY7BUZJ3hzB2eMAtOqCIT3ZCZKtyMEBB4Myz3nbCsFdAqbr32EEBkq78F/Aye/vev8l/xn/FPv/VX++PyDvyN9f/drWc/NmMfMEaTmzjvPrt4RY76RacvscWaNoXmdpFxklq2jURPeKvwFpKzhPRUoRJQhUHlqdQstg6yBDXJ5c88GtyI011fo1jVwhSOih4o5pk8ZkkovQk/2GByowIQxRgYZzDOxE8hM6hZjhqlqFDop0JXSmee4sySHnl0GJMpika6Ul5TBBnqNHGdE2oRZKlGdX8XpFqRG431nsu2onGOxjnpP4Xz4YHTLOHCbvn53PKDizEfvXcqGRytRd8acffOgiz8mfVgr5eiDgFjZDzjvMN+z74cNd5qroJIdqSonTT1QN3ii9rnuo190U7/PtNUFAXWWhaLBd57lsslxhistYxGI5xzHcuote6AVqwvjCzfELzFWr1hrd3QbGbo8BnlmtH0JspXh3EXEXxFEBrZysgmFkXRbVeUkUYH0yRJmEwmTKdTsiwjy2S0Ny5zKE0dGvDUdd1lM8bIj+l02oHj1WqF1pp79+7x8ccfU9c1Silefvnlbh2HQN6Q4dsHhYfA4f55OwQk4/k8ZGYzBKHXtc86UL/fOgARfiCjUSJyhIsLQUPPzwX8tK3UKloroFFplDaQjwU4OtvXGLZNAIouAMEEkkzmjy6oWsuU5vK+CjfEJAFt8M4KO9dGe2grklelILibvqUAACAASURBVI0J6jbUNIZ/27yAyVSmLJf5vJPlbDYyEpemqKMZ5mSGHqXoIpzvTLZBrqUw2fCIp3SOqh2w3KOM0VHRsfKLbYPSmuZnv4B3/wKqjRyDN76FGgV9ktEdqrsCGKFjGONoXz9PJGgG14Ya1i3us4tq5wY4rEft9P0vuKa+aKd/h2nyAoSskZB5r2B5JEDOagGLTvcso/Zi5pKEmkGbBJYvOkKqAO6cAENjZcc6YOSDW2gwgVGezjk0mt7YhM7UxiYyTxIGaaMsNbKVaSPbX5QBADZ0MtKykO8ngTmdLsWFNQslQUnIuRt2sIcGPHUuABpknryC6bpnKVcT2e57X4OPXxYXVeUlczELbILaB3v0gDGeiyFTuF+7OLwK9qWq+5mLeu/7suG7jOS118QXHfAaAEWvoC0UyoJeysl8vh6RakvtEs7yNa3X3MxWGCWA7zjZMtY1jTdSY+gySpeKhMpL3mKhGsa6otB1J0VNVUumLEempNA1BnFCzXXTua+ubE4VGMbGGUqXopVnrOVCaJ1ma9MuOmOUNBzlJcfZlnFSk5sW7xVNk+BLg2oVPvHYicNOHS4FmwXAGGsJw2BGP3mU85jKYSrfnRuXQzvpr4dsKbmK6Qc5f/r4qyzaEVp5vnv7Pi6XmSS648WAEdXLSA+CP/p5r61T3FvGLl3wSdfLF+z17wOI10Wu+ed8mxbD/TdvCPiZIOxiTscyUiFOpnP6+sTj8BglpRHczeUxMYPvlkjNYQSKNjwvw3puhGVFwDkJ88zDtueD9YGAxw/DdIEAWgOXnPCAuyyZMWPJG7zLN/k5ZzzjDDH5m7EU5q9NZP3708cIswhYa7idP+aNO+/2APcnkFPzX/Ofsv5PtLCLLRT/HdzmMQAZ1RU28RDjmA/kqbvs4oBN+zzA8BOkqLF9GmfLF7UeRAhcnKaKxikeb0c4r1ieZ6hU4WuHPs3wLejTQsBcomGaC3Bsgyy1CkxiLM/JEpnyTABhlKLGTJZR0QNFrQWAJhrfWvy2lmX6ADjrVubLY/yYk9rFWu4BZqRIjxTmWKPHGp0rvFfUVcKqTqmsJtOOG1nNWVYzThzjkMuUa2H+nBd3/Z0Jx9rXbGOEHjBJ4DTrhRTP6hqj4F88vcH8Ty1+XYNWHH3XMA0uctEJ9RBghB4QGuUP1i4eqPoJ7/f94difkkzGPkIDQA1A4q+sZrG7kPZAxL7z6KH54+OhusfI2G02G5RSrNdrqqqibVuSJOkyBodupPuupkOgFeWc0ZU0Pt+PrxiCx8haRlATAWbMOhzKRqPEdZ99BDqAt1wuWS6XXfRFZEGjRDXKSofmNlE2ui9Hreua7XbbmegkSdLFflRVxWazwTnHvXv3OD8/Z7lcorXmq1/96pV4jOsYw0/jVrp/3l60vEPLeSFQJAaLhv1+wfUky+of4w+t+yy8zjNDO9/ITIsFviwFkKUZLOcCyKyFAO5xVoBddCv1nq46OtbBaiOMotb0MtLhcwGPaBNCqgKwlJMsj00l7GOS08na2ibUSDrZ3iyXCWT9VYm/vIDnzyUfMi6vKGA8xszGqDSwn2FKEs2oSK5cU95D5R3rTSvS1MygMkOWGoxSbJ1nu6rk+vyLt+Hhh1LraVL4+tfRWdIxhAcBYwCSMWLjuvN+dSCiv9mpodaeXaB46Do4uPw9MHDFifLA/MBOjMbwM+MkU3EzktfribCLbSqAcDPu2bZoCBOzEeMUaw5jHWOsI0yD3NO0PSAchtZHWWlUMUWGLUpe20SeJ03fT7U6GOhA53KaDoBknUu95XLWR18YJwAxSlSN3e0kJ00vGx3KY50Siex2FEx0WpmyRra7KuT4OAX3XofzW7JubSWCJGkPgL8hY+i4CvoOtQPnLS5nKEWNbOt18tZr25D+Bq44JF9ZWPjNdexUfxF6JVELLgOzkRtZs0mpq5TKJoxMw9NqyigRt9NcNx2Ia3w/uVBz2HhxLjXKUeiaI12SYjvwmKn+ucGTBmOcia4C4yidl1zLRbVxGYVuGJu6i9aoXEodHFG18oyTmnESgKQ3bJqMy9WIcpWhN3Lf88ZD6vC5w47E7GZXlqpoC9UBx06y6TymdiRbOVfO9OyjMwpTOqll9DD/6Ji/mN/ho80puWkpvrLGJ/4wSLwGMF4rUdj7rGcU1TUA8sCCrr1RDXMVoY/UuKa9SIoY5YsvNdzjdRIs7/ENHnNHZJ5zJHT+gp5N3HM27eSPZvC8lXn9M/nrWq5hswZfgl+HaQgeF2GKktIoeT2mB50RM0WJa4KAyGdhImzPbfjF3a/yNm/xLm8AYtJzk2d8hQe8wkeM2QToltBiSE+W8Ppg2+MxahGw+C7UZcaMpTCGNxEW8mP44P7rtBj+2/w/hn8bqfVcw7/DH3Rg9JD8tAeI7aCO8aoBC9BLUYfn7bMyiC8CihgkPkP6Fu4TelMdUPA9OOy2FUWCZpwoLhuDVp7LzYhtmeEqjyoM9lmNGanAJhqRiLZWgF1r5f1Yaxh9GbQWMDiS0E6fpfgslcH4NO3N/KIxTpFBnqGiRDUNB6BsBXQWPQPpG4tvnNhEaCUAcRykqa3Hrj2LZwXPVmMuKuljpdoxTlpmacNR0pJqiV2LY5WZhmkqEGtYaeTwbHzNopGYjVx7cu0pjCLFsPIVl7Us588/uEP1lxvswzUq03zrzjmZ9juS033AaMJjjNi47i6yDxqH/eKOXYwgUfWlPYeugxe1X7lAYp+lAnaYrG7FA2AWwVLbtjRNQ5ZlnSS1LEvyPCdJEpqm6Tq/EUzu1yzu188dzPfbczyN34m1hXEdw5iM+DxGbQzXGZnGoTOq1pqiKDrDmel0yvHxMaenp4zH406mGtcfAeo+ENZa70R8aK2ZTqfdvOfn5zjnKMuS7XbbRXAcisv4NAzjIXnpp8lR3H99yFDn87Z+lKS/zPfP6vB/OlGKJNWYaYFvWqhrqf2rK9iGf7vRGNIcX23pZKJNjUqCLLW7I7geFHYdxQP7EoBlV9cYAKRvapG0RoYygFCVJP3rNlA48dh63zOb3oO1qDSV7RqPxWzm5k0x7zk7g1u3MEcT9CjrwJoxChP0+9aF3EkPLR6NomksbeuJBjWzWSpKWzyPn2zlprvZwnrZ1VEqY3aqpq8FjFGmuiOwH1xPgz53HPnaOZf7r5GRsRjtGM+1+lS3uMNtCBwio3SlVm3wmQn/8UUl4KxJBVg1iYDGshCTl6SVzyKgapMAhvZqFncMWTw7NYWxuQD4Yl1jNK5po/kNPQCNTKVHWI4YtRGPZNyW6MDqVJCXWgGA0XBmuhITn9PnIrnNanZyJ6N8tQPBARRrF+oeTZjXCkOJosuhdAbKkYBKm7ATy3FQQrrPMO59tv96vz5x/3zvvI7nd7BvanA+PlcbDgvHC3OPWeqC3EHAYqKwhdTk0WjSrKVsE+Z1waIqOEpLxrpm3o5FJopmY7MgS23QAciJfLQlVS0Gj6bPTxy2OsRsxLrGmNm4cZnkLCoXzHPE8CZXbfd6a9OwS4Ed9IoyMI3Oi+lNkjiU8bjC4Y5bzHFNOmnIjio4qbFjh8sigqdzSgU6VhHn0dbjtUI3HmX7eZupCmDfMz53KKvQpWJRFtTOkCiLDpEd14LEA88POaT2z6/pre297gCkUQMwGf8zPmc7xC4d+hxgCsXJkrs8YMmMS04441zq7+4irqgPEMB2m14mekzHHHYYx9C5o/rgOdIcwD+qADWsa4xM3jG7OYsRhK4H2xyjNoZ1kpFpDGykuJ9uucsDvseP+B4/4jf4Od/lJ/wuP+B17nGTZ+SB9cuLqndfjdvSIhLUkLu4WY1lXmrS7yz6+sl/WLBlzAPu4r9OV0eZU++Y2VwHGJPu/b3HIEXddUa95lweOrfXZTN+jhZr06L0ML43bBE2AqQYMg2zxFE5TdkairzBbhVu2dLOPXpmoEjwq6qXiVYNqkghG9Ysuh4Ahrpvf6B/jm1FPRXrGkNmo6+aPiLDOQGmzokMNdw3fBn8SWJXynlc6YRpdOCtIk0tqXbM0oa7kw1fma05nWy5fbTm5emak7RhbHzX30i0SFChZxgdnoYWg6a0jiaM8xsFN3IlOZVYPlhZGqdYtgnVXOMbB0ajQ11kBIjXAcZ4+5BuVD9fnIavh4RLf753X0fQmAy4Yz2QHL+ofSnK50OA4zqwMMwgzLJsBzQtFgsmkwlaS1D9ZDIhSkKHWYdt23YA75BDZ/xs2IbAMspPI1CMMs/IGuZ53gExpVQHNIdMpbWWqqq6/Y7rG41GFEWxwwzGfYzrjkAQds15YtZilNpGEBolpgDL5ZLFYkGWZWy3WyYTuWvfvXuXBw8e8Pz58267rzv+8XgPAWEEqvH9T3s+hy2C7BcB90/b4o8hgoT4eHC9SpFmBpUlqCLvDWishYtzOD4RMFdtUNmp3FnSLBRLJ/2dJtQqqqCX77Yk/oIPXFNxXu8cuFKYQaV7N7CsQGWF1CpuFkGSqncdVZOkl8yW27Ba1TmBMZ2ixmO8tSKdTVN8kpCCxHk0FjsoIHcu3uDkZld6R9t6msZJBIbRZEUifRoP87KlebbCjDLUaon6hrjr8rXfIHn/fdpHF3jtwPUYGM2VwG3pKIXzr8Q5UkOXvas8KOU7wKhiD/4FLY6UuWCj+AW6YVcBx9D8ZH+9oU4vaQVARVbPBVnqZC2Ao05hEuoAo9TTtLLclh7gDR04O5BzYO/jvNoKMGt0MP3wfQ1k2sqUVwGIhc8j0NQD1tImEmsR9z/WbI22Aho7ZtD2wFAHZicCUBiY86iQtZjLY2RatRNmMe7QcgaLmRy77UjqGUFiSB7cheensryDx1/1YDo6u0ZA6ALgc2EsZx9AfhopsonXbTzXnxcsglzng5GQITjcb96I26dPEABlZMXWaR6ujzgbbUi0ZdGOuJtfYpRjrGscinxYc4jUKmbKkkZJnHICGpXDdiGH0qyXeTNlqb1h6QsaJ8xBrIGcmoqZKTlN1jxpjqhcglae2kpdpVaeTFsybamdYdXkYff7CzMpWvKiwTklGWeJpTSehgyvNcpJVEZ36BxSq+hBtR7jLdoadBNyGDXYrFcJZAtLutK4TLEuM166I7Vlb91+xL94NCG9NGKYM/in8LDzHMI1sgcSu/tavNVHzHcINB46t3Hg7Itq4T9LvdoUTo4vmbLkjGeMCBk+OeKK+hcIALyN1PG1CEhM6LMOoQeRpbCJELLVW3lMDoGaCMwKBJxGl9TorPoMYTUfAF+jl7pGR9UoYY2S2dvyNYnNkBvWK3zEXR5Q0TODcR8zajaMueSk366SUKcYHj+WR3c+YXRHXFbPzs55lIT4rB/C27zFGc/48MYtXvuLpwC89D/N+d6/+yN+wO9S0fe9rmsCIs3OY5ZDTYZJWmxipH43UZ8e+BX0Zj3whXruvRhxFywcaonSFAYy7RkbAVkAzirKB578phIH0nWNvhmyoPNU+kZpEvpNIRva+V5qCgIUo1nY/rhWBJaJ6TMXo0uqDR4l4xQ1ymE2gucrqC1KK1ztJNtQqxAvBr5xuJX8oJX22HCPmhUV41GNcwFEpm1Xe21URuMMlet/8K33NN4JWFQ1K+9o3IjSSgSGUTBOejOZp/WWp9WUsTFslxlHt+Q4n3275eVHJR9vC1ql0IGy7Hx9vMcp1f0XRaYzAsR4V7G+fx1vNxq5X9lPuPUkGCxtd+6/kAz1UC3a8P3hfPtB7S9a3v7rtm07NnFYqxeBYQRMUWYapaPDesIIpIZup9EgJjJ/Q5lqBG3DfYxs3z7YHLquRiCZ5/nOe5vNhqZpuvfSNO3iQGazGZPJpJOhzmYzTk5OmM1m3bYPAeZQMuucY71ekyRJByrTNCXLsm5/Li8vybKMhw8fst1uyfO8YzTjvr6oJnHfIOgQK7nvBrvPQh46v4fOfxxkSpQwgAMIttOEflcdBb+znMHjfkmICVIB21jMKMXHIuoquHpqJcBwswLbhvxEJxLTNJN/RKVFdplmu86ozglLaFsBgTFqI9YvmoTO4RSEjctHdLrK8B5KgW36GscIJItRvz5rRS5bbukyH7MMzs5QxydwcoaKBjjTI9TJKdy6RXI2Q2cJJjUBzwZ2XKng7KVovWdVtSSJwgVQqfOUTMmx83ien2/RoxQ++EDYxWICZ18RRlOrzkgHE5zI9pjFeC13ZjhGByA9qF1UoLXCaDUgbvt6xf46u+Z6or9Bwh5bx9V+WifpHNTCdW0gjbvyvXCXbpPAJqYCnurg7KmcAKxY++dUD/ISO6gnHMhIO7fTwAK2gZWzSS9ZVZ4u+3C4j1m9C4QiaxmBofJ9vWBeB2CKbPNmLPWFEaymTR8HMlsK6I0y1NkSTp7LYzLIZYwdahP2I5rWrCcyTxs6MmkjgDEej8tTqVF8+BUBjHnVM5rx+ETZ6RW2kX6fhkzi/nzxvX2DnP38xmvHJOJ88T4XM1e73/Tef5xcxGD0FdfLPjZDsX8RRzmmbsGlHt1Ih6mpE6pGgFlhGi7rscRleNOZz4x1TRXqCWN9YhZYRYAGw9rlrH3WuaPW3mBRGOWY6IpCNURH1FgLaRCTG4BUW7RyVC7tXFfbMLIwTSsS7br3npUTNk3WvadThzlqmE5Kbkw2HI1LJnnNpKiZTEs4aWinTmSlCd0oifLgEpHn+kShWke6srhEoeLgTAouC70j78mfe1wK5eMJ5/WE03TDNyZPMceiyRYjHR8mdgAhg3tHxy5q+riMwTSM0diJ31Dx+y8YFFDQS01HwHjwer/XP5ClXsc8HQIYgcVbrWfc5BmXnFCT84ybrM90DwxfYTcuIxrVRPAWpaIxcxGpqBgfw9ExHE1hPEEYxSD19HORo3Zgs0RqIaPRDfQOqNH11NIDySf0DGCOyGXvyHy5rTjhku/yE75Z/ZyX3pnz2oOn3Pio5OUnF7zF2/wuP+At3mbGkulk2UtQo9FNER5XwM+Ak5JloB9PuRQpapj/4z9+kzPO+Yf8Xfg6Am5DhIah7aI8JL6jvsIw2tDhHsZr5NRXcxeL6sWM4YtAZPdZ7Isl6EF0xn7NokKjVYpR6RVA0LOLZkeCKvtg8IjL5zgR51DrFWWV0pYhw7lQ2HkLtQuRFQ6VaKlZbEI9YZqKVDSyigCtRVUVqqxQdYOqm9CvCiPJeb5rcJNo1KToOw5AF61RtyJR1SE2A9BTLcY7WlBT+8zRbkAZj9GePG25M11zfLxleqticlKTT8Up9fR4w8vTNbfymlyLDFVuUaLOSpUmQZP6jEY1PK8rMg11AJWF8RQ6QSCl58HGM04cv3hyA3dRoY4KzKszXpqtUPQg0yhPcqCGMeLoyC4O4zKGzqhGBclq7FsptXO4XnCL+tUa3HySVOzztGgEEyWnIMBxuxU2ZTQadUH0cZ5hbWIEVBE8DqWdw5rCYY3iPisWQWVd11dkrBEoVlXVrXvIJG63W5qm6b4btz9NU05OTjg+PmY0GnXHK4LWWMM4BKPx+3GfooFPZFW11uR53kVoRCDpvefZs2fcv3+fJ0+e8MMf/pDLy0ustbz22mudZDUuO27LITnqIdbwkDx1aA50Hajc/951sRk7rz/PRRTPY3i0eGrvqGuHXQd5Z9PAKlAZk5mAsO0G6hK2awFUEfjFeIrgcqqyYtDR83IjS9IAALXMp4cSVXppabWVZWoTgGGQXtgWX67x5Vrm7ZjERuI9qlJAYmQu6xqyDHXzNurspuwDyPKiXDVJ5AYbAJlrXfd1rRWJVqRh5MooRem8ALVJDl5srlOjab3o9Z8827J55yH1B4/x//R/h4uHAnC/9VskN2bdce/kp3uS1E6OGu9Qur9jdddGNMQJoLGXqA5Nb+hZZRBWmd74Zr8dAoifu8XTqQUgNqlITkEA0VZ+2oy2IYg+D7LUopd6xkiLKLmMzOS+JLUzswn1ifuSSK8EUNZ7MRkRDFkj669yOudTY+X97Ui2vU57ANMmwkaeXApYHJX98YpyVWP7ukNFL2GFHiQmwfVVuz6nMa/CyKYJrrDhe8/O4P5X4clt+OG/JrEa1sBrHwTJamhX3E4HQPBgpMYeqIz7Ydzud3eW5blSJ/nC2Iyd6+Lz//epOIjiQDcO3Xh0HZZnFW0pPcTjvORZOWFZ56zbjOftuMs+jKCxUHWoO6w5MZvQteuZw5kuO7axUA0ptpOoAjg0G5czt2NZphZJanRGrVzKRTvhop3gvCLTLZlpqV3CZTli06asmhwfLorKGrLEcny05mi2YVZEpY2nbg2t1ZLFmLjuB60s/TWue2mukhsVppJ5XR7OsyWAR4fyMHpmGT9U5E8NP/jzb/CL1W0ql/Ctlx/RTnu6QoCd78HfAcDXvQ7PdySqcRn66vcPGeXsSGGumNx8kv7wM7QIxkrgHFbnJ1KnCCyZ8RGvyOfvIyDsLr0sNdYsRtAYzWnmwGORn8bN8yU8eyaZ6U0FzVoeo0QVwvKOEVYwLjMCwwgU7w7WPWQSvx62687gcBzDbN7wO/M/4zvrP2PyfjifFpojKCeSxXjCZWcqs63G/TGJIPGEnvV8BGlRc4cntBg2jOXzyED+I/gD/j7/B/8W/82//x9I7uIEfu8f/xlv8XZ32IcgcR8w7n/WzT9wRpU3/fWA8TPWMe539L+IyU2sc7RYSt9QWli3AvJqa1iWodbvBNpnDrv0uE0Ly1KiLQJoxARX00SLmc1k1A+2BdNAPy7wSSLALw2AMrKNECSttURnBLZR3E6lz+XrFr/c4pdbcF6yFjONrz3NpcdtLXblYtQ1tlKY3HLz5pqzGxvy41hW5rG1xjUakwiYNEH11Li+f2mUIlWanISWFuMNa8TIZpJI36lxikxrGtXg8Hy4rvnZPOPd1Zgf/J+3sR/Moba8+ttLbhd1d9yHt4shYBxWNsj74T9kMA26VyEmY/ez6Ii6b3KjvEZ9CqAYt+9faouMX3Qhreuaqqqo65q2bbvA+QjUoAcwQ6ZwWPd3KA8xgrFhvWKsBRxmKw5NdIa5hUqpbv6YA7lerzvWc+ieOmQ3o6Q0uqOWZdntQ5R4xuXGYxFbBMEgzqez2YztdstisegAq7WWzWbDBx98wHw+55133uHDDz/k+fPneO85Pj7eAXUvMryJ63wRENwHjofA5D5I/FXULX6W1nqRXrqqkSLrsoTtFl9uBVw9fSST83RZiyHmomMKdWDCTKxfVHQMY8cshnkjy2hbfNvgo1nNILcxmuhQlzJFB7Cm7qflQoDsZhXcUx2de2o0yvFePgOoS/xmhd8EFwGhElFKUdeWthG5qXN9D1irntFdLhvSsyl2UbK8LNFaYfG03rOxjvd+Oad+umT1/7yD//nP4OkD2aYbNwT0Dd1Ojd4BjDt1jMHsZre2MczWgcQ9gDh4HAJFTX8zFSD567mmbKgTbFJh8OoQn1EHk5vLE5kiUCNus99lCqMkNNbLRYaxTYK7adhZZ4KMNBEAGqMpvAoMYmD4nAnZhWm/jiaR5bWJGPKsxz3rGUGsNQN2k941NbqjlmHUP26/8n0WYzwWsUUQjIfVTJjI7Ujkucb1ZjubEXzwGsyP4J1vwYevifzUA8eLXVA3rCE8VL+4X5+4AwTtLgDsMML+e3s1ozt1i7+GplsfQKOS2rtaQ62pmoTKJjxZTHmymAbZqfzmY8yFRe04nY5V1dUpZsGsZuNySp/SBM4w1ipufM7CFaxDvIZFdbmN0URnZXOWtsChMDi2LmNrU0qbcrEdM98WzOsRTTC8sV7RWtOFXXuvaMJFUjUJ2ypjW0WHbt/pQXUj7GocIInNa4VLNF5BuvI0U0dSQrYQhlBZj2o9ydpy9IElXcLRXyb85OHL/GJ1W2Tqs/YKwIsOqYcA4wvrGPXV9/taxt14jfha8he5wjh/aW0FlCmXnLBh1MVnnOdncAT3v3OD+9+50ctOoWfgIggJsRjNoq9T9GEg6cYxzCbCNCYG0gmoCaRHoM4QoBjrEyf0cRg5AgTP6Fm/48H0JizeTHvWM9Qr+gmosG6b6K4usrwBD45v8WDyEiCyTxF8WubnJ5KpuKLPcQQBZSey7OYnR7zF23zEK3zw/31LPovRGu/C0//yVX7Kt/nP+S/44D+8BX9dvvfb/BSDJaPeYQ6vA4z7dY5DdjEtanYyFz/NtA8sfw2txmIdlFbReMXGGtZNSlUmuMozf5gzf5hLfyYLfyLRxdS73tAmxmLEOkUjO6DKWljFNpjfNI1MVS0jE2VQhnW5jboz0WFby+S9LLdq8aXFlY7mAsrnKe1c8ha9B98qbKt2ulIuDNS1pWG7TtmupT+olMjXNZ7SQm09jZMyntgSEnJyNIqLynMrb5g3miel9LEaKhpa5q7kJ88aHpeaP3wy4+mfJjT3VngHt0cbtBq4ndI/j0CvA4qKTml3yBV1yDaq4XNU158amtxI7WLyiVLkfn9f0HZdFP0X7uxfx05Gt9NYpxjB23w+Z71eM5vNrpjaHNpG2AUnw0iNoVlMXHcEWxGkNk3TyVMjyIMeYEYgW5Ylq9Wq206tdff50C01gsUsy6jrugO3kaWM2zEEinGe4b7E70fp6Waz6bYvHpPFYsGjR48wxvDjH/+Y73//+4zHYzabTff94TEaGvnEfRy+H58Pz9MQCA5rS+Nn+zWOh877MGt1+PzztggW1OC1BtJU460UQTfnS9IzL3eHZ0/wiwXq9JRoarPjWhqdu3aY0HjzU510VSmFdy7UCEb/fy0sn22gbfHVVoBhmgvzZ2OBzgAElmthOdcrmF/0ANQoAYXVFtpGQGdwOlVtI5LVchtupA6/3fRMpFa0rae1ro/PCGtOkJtGrjR1Y1GjAm8dq3WDDbUArZcO1fOm5eH9JVor0j/8E4q/cwNmR7BcokcpbtuIPENLR88bHTqCsh0e19cxegGUHgc+Dhx4yV0MIbc6SL2UU6hww+yyCVF9J1N2ERv6fUNnzuHzGlQC0QAAIABJREFUz31NDRir7rWXLMNo7BLjM7yC+bEAstlK9rU1ItvsWCp1dbs6cNIOIjW87K8OwAzkuNokAK5E2MEmC/LUtgd50APMOhN2sywEvMXt1C58HmI3IlPokddZLd+NjGhkKeMxGALFCIChZzmzWpadVfL5ZtRvXzT6WRzBo5cERP74u/D9P4LxWpjZuP7uGEFnEBzXFVnMCGDj8x2ZKT0wNEFCPJxH+77+YyhH3Tnvw3tAYLm+UIsD6qq7oAW4h2xBPCRLRes13iueLKeUm4zxtOrMZca67lxLnZc8xqGJTYzXMPggQc0wylF7Q6YsC1uE+XwnT61cyrwds7J5l+VYub5bIDU7CZf1iEUjpjuXm5F0tLwiUY7Gaco6lYxIK9vvvURtFGlL1SQ4J5b1ZZ12TKRXATBbenObcA5c6PnYTKMbL3EYDtKNR8da2sbhUk122TJ+JDXR9Z8f8fSvbjkttvitwaUCSOPZ89CNtHSY1XXYNXxOJz3vZabIAFkoCvJhYCH+tjpRiZIfene1qLjUhl562g6ef862X7sWAER6c0FNhiXhpyE+w2J4+r0p7/INYcciAxjlpiDvGXopKQIUt6X8DR0NIzWKAOLOBrszGUwx1D6a5kz6ZXYRGpFhfBUevXmMxXCUXMj2TGB9W7PJx2wYdfDr5JVLbl6seDa5QU2OxfB4cgsbDoKhhcuiB4pR2grCMCbAS8C5xGHU5H0GIwjIPAH+BD7+gzehgP/ob/8P/JNv/y34BbzP69zknHNu7p2MCkuCCZLOugurFHYup6IiJ8FiYz1c0tIkVgaroxFQrEl8kRx157w74o3F4z4VO/SipoLMPIIGFWxPcgOtF1XS4zLDeYV3iuWjjPlqxOnxBjz4skXlIecQDvalfACOXmtUWQkw1FrAX2LkggPpS0WTm6bFr0vYNFAkUgtZDy7U1kJtcYsGt7Q0C8/qWS7dECfHytWKZmtoW41tNd4pUUu0LdmopSpNd+8qt0l3j9JKZLiN81jXm9sApCRoFGOVUVrPNLFYD5eVowkD9JWqyH3OY7vkF4sTjIJ/9N5X+fun75HdgMsqZ2wcG6tx3otBjQeUMIou3JVapH7RRUAZ7ljO9/c2HfoYAjgVXnmsEudqDUFm7DtmMbb4/JNqFj9xfOJFAPHTsEX7zqjD92KLUtIIgmIAfVVVXU5hXddMp9MdgAN0YC2CnQiiIvCKICyCxggWo7xzX346jOgYRnJEVjDGVVRV1UlBo3R2tVqxWq2oqoosyzrjnjzPO+nmEDDGbSqKotuu6PoamdK4P9PpdMf8ZrFYdCC7qqpuG733XFxccP/+fd544w1OT0+73MphzEg8jnF/4zEbntd43obAef+6iMAxLmtfdnpI2rqvjd+5XvhkulsGeXc5paFcUY6jRqWG9nKDby1mmkvh73Yr9YBpJmDr6AYoOd8KBzoh+iN750TOETUMXtjCrtaxbfBKQ1sRg2J9tZVsQu+FDTRG6hyd6YGgd+C2wiBuVgIWl3PZtiRBWSsgdr3Az+cwn8N2KzLTPMenKYxGvauYc3Jj3W7lUSlGI0MdbqhJoqlbF2QIHhd6RrNpBk1gXxFwmCuRolbB9Wu7tTjn2Tyck//yF6jf/lfh9m14PkelGm9DJy+CRBWur3AePC6gutCJErpwp2QsAketFE4LSPRaoY10pGUkzPc5eDvnPwy6vAAg7kgWr7umInPl997z3SqkRs/CZiIgqAjeQ1UecgpbAUtTehAbNzGCtQh2bBhhj/EaVvdgL7KDKFlfnQ/kp26wHNWDPa/BZT0rWGWynVUepKABxG5HsJrKVOUC0KJxT14FMx4fpKO63zflpZYxgtjo+qpdzx6C5CtGIAoCDtNGlldl8lgWsuyLG3D/ZXjjXXFfXU5D/aPe7YRHNjT+tvdrFyMA3LlL7QH9CBz9AGgOZaf7MlZ58wX/bUq9+HPoKHC/c6Oic8qEcJyNJ9kokViGfmZVJXirSY1l1eTokeQiuqB3zHWDRZPS0viELGQlAjQ+ofGJsIqDvMSNy3BBwjq3I+at5KYl2nVZiykWi7ifOqdZeM3zesy8GrFqMhbbgrpK0MZhnWZlDasyZ7POcasUVSt85iFx1ImnzCzaOBmpdwKGbS0ZjCiwhTiegshLdSMuqN4oVHBoaCZSsxhBYnbZ4nKDah2msijrSMoE5Tz5c8Ojh6ccv16SHNewHPVxHYPbVCjORu4sdIA9nqNugGfnnIdLa/C5MCVe/hoimBwAR6WHF9WLulvDCI1r2iFWae+98XTDiA3v8QYbxnyFBwA84TZbRszWK5F6/ozeqRR6U5sKyCEJY5wAoxitMaHPY4zsYHRNvY0sd+CiShEe4/aZMN8riDPrXXj6tSmPuc2YLRQXcAxPX5nyc36Dv+SbPOYONznnhEtmLLl94wljNhgsFRkWwxNus2RGgmX6+lNW57dkw0+A87Ad0SAG4LdEorthLK//BAGRKyReYwXck/n/+d/4a/wvr/yb/O1f/mN+l/+Xt3mLMZuwbuETTahWbAed7Qhm981uhk0nVgZx99nDoZnNIeA4OP8vkptGA5sXtc7kZjBf740ZyBwNqfZc1AmNV8zCDbjcprRWk6YOu3KY2zLA413sSwWX0kQJoDMJqm3k99Za6YfVbf+olTCKsS+1LmEd+laJlql1It91XhhG72HtcPOGdm5pl4rNPGNbpiTGia3EUrFdpswXI55tRqzbhHFiKUxLZizjvCEJ9yjrFL4xbCrJYFTALBVmFSDTmtJZjNIkXtOGYfjTXFNZTRO6io/tkjFTGtWwVhsaVbFsZljv+WiT8f69M755cs7doxVPn+ak2tM6hQ+mfVqOYLw7EQEjAQzGsaw4aN6dO9U/xj6xkXH6YTdsABAVymu00lzt5e+2XxOZfX2LoM17T5qmXf1gjNGYTCYYY7p59oGic65juYaOppGti8uJ8tG47CHAiYAOeoYsTdPOjXS73bJer9lsNtR1zWazoSxLtNYdgCzLks1mw3K57OoWJ5MJR0dHKCWGNzEbsW1b5vM5l5eXlGXZyV2H+xC3JUkS0jTl9PS0M7oBAdKr1apziNVas1gsGI1GbLdbHj16xPHxMYvFYgfYHTr+QyfUCFAPSVWHbOi+u+w+wIyy4SHQ/CJuqJ+2OeTHUVWWwjp0kWIXLW7boJtGjG6OjmREryp78EYYc7FWdFHhpyGS0uBS2tTCBjY1vq4EJDahNrGpZZne9WC0mMSDA7mBrJDvb1dSm7i4hNVC5LHLJWw2oDV+vRbp7GaDW6xonq3wdYsuUpKTMfrGiSwzCwY8ESQ+e0b9eI5dldS1ow53rrp1XT8oFj1nRnF0a0J7uUFl4Zpynrm1zIwo2o1SXNQNE23YbFqO7n2MOTuDi4uuo6wCsMOxyzKGznSUqHocKjAOgnoUyqmOhVT9066p0PmKN7h4c3ReunjDwYEvtQWQVmeyf2kjwKvOQ4xGIu6eJgC7Ab4k9O1xqu+XNUkALElgFbU8NklvdBOXbWwgukwAdGW3WHRgO20iAGwbJKebsWzrZiLvaxsAZACSm7G4k7ZG6hYnKzhayjFOw75WYf3zY5HXlkWo2wz/GE06YH0dJKHu8vR5b3QDAhBXM1mHQrZlcSx1ntuRsIzHcwGV8e50CNhrgnJ7APys3gWMcRqyoX7vlrcPMH0Eu5EAGgDIL7MpD94oTO1RTuFSj2nFHdSG0e9sXJMYx6bJuigL+bLrchaLsH8LV9D4BINjHeSnG5exsgUbm7G1GYs2p7QpmbYSdeE1hWk4SWXUQytPqixTU1G5hIt6wrNqwvl2wrLMqeqEepviSwMa7lcJrjKoyqA3mmIloM6n0I497ZHFKqnj0crT1gbfavQiIZtrTAW68ZgAFnXjeydlLUyhyxTVqSLZBDMcwFSW5HJLe1TI78to8uct7diQbD3pk5QPj05pl2lnf98BuP6p/EYj5leDe9fg/c4dNVwTB5ULiq4X1qssFMr7ACA/YVDhV9EC4zd/dEb9Ws4JlyyZ8YybIUbjlDd4j2JNX1M47P1FQBgrGoKj6TiCwkl4jHLTIwQcHtHHYeRIxuKDwTaViBPqFAGJXwN+ExZfT3ls7nCP13nAXTIqHnzrLk+4zQPuco/XeZu3WDLjhEve4N1OBmoxZFQ84Q5LZvyY7/AjvscD7rI6PxGACPI4rF8sgJvwm3/lT3mPbzBjyVMQgPhD4LfCfkyBfwZ8A8p3b/C//s7f4jt//cf8lG+TYKmhq0XcbzZASBvkqpDtvBelqG2oASTx0O5dH9dJUFsOAsYvqzk8CZqtBesVI+OpG8Wm1dStoWoSjiclOnXYtYA3FRg1AYShsD30L4SmtqhtKaCwbqFq8NsaykZkpKsGXzkZiHYerEflGjULEnYdkM84RdUWN69wz2vqcyjnKdttymJTsKpTjPKsy4xNnbJsUi7rjCdVQu0UhfHcyFruFBVKQZG2aO3YVBm1NTzajHhQZixbRWmhbGW/Smdx0YgSCSAptOHlsYDpPJzWtdpwzgeccheNJvU5j9olx2rMooGfz2fcen/F09UYjYzVyEC+Cn2cnmX0HW8saM8i/4c+QEu9d0/qxAyDpuhlqDrIUBOvcfgwNPDJdYv/0sEi0NUFDh1LI9BTSnWGN0Op41DmqZSiLEvSVEbmIvsXgVhk3RaLBev1mrZtmUwm5HneOYsWRUGe5+R53mU+rtdr1us1q9WKzWbD5eVlV3sYgWPbtiwWix3H1ihnHY/H3TSM2RjWPEYDHWNMt60RLMb5I9A8Pz/vYjK01my32y7DcblcYq3t9mcymXBxccEihrhzGCwOPxuygkMAuf/5i5Zx6DGytvsA88tsdRNyeKwTOWqs9QvMG6tF3GiUNr3BTawtbGqRiCZheLVc41eXAvTqSgDhZgUXT/GLhSx7NkONxpDlIhMdTyXPsZigRlOwDX5xISDx8kLYxPNzMbDZbLDLDW5T4+qW5nxJuWmwVuQPTe1IUs10kpDOnpEcj8VhNDFyY60t7XxDe7nBWkdVWxKjOqBouxucSBSyVKOMovz4gvnzkjwzKOCisZwlCceJ4bJtcR7yRFPkBnMyhceP8RfPu2Mnki1/BTCKzEukZyLpUgyjNKQTxUHX7Nji51K36LEQ+MQBgPw19MNii3WBkQWMJi5tCqrsDW8ikHOR9QvzKSRiIo1AKhfgFoGY0/J8cSSAqzUw2QhATIMxTpELA5iXwvS1BtapzL+ayvIuT/raw82oB56Lo1C7OKi/TFrJU4xTNK4xdlDzOA0GOpkAqwgUXfhjNFbeTxv5/vmZAMIsSHG3o5DhuITlkRy/tBa56mQNF6eybUBge65pA6AHgWFVg/f2Pn/RMq64o4ZzFgHkr6vpEC+iXM9uOadxrUYVsC6lkxSBXDS4cV7TeMPG5VzYKWMtZQbP2wkP62Mu6jGbNqN1hnldcL6asN3kOKvIRw1F1pCnLaO0YZGNOMq2nKRbbiZLSp/yUXmDx+WM882E5TZnMx9Bo1CVJtlqdA26TUmXYErQQWGgGwF17VjRjhPaUSLMm5E+nrZgNop0A8qCrkVyqhuRrEc2ES1Mo01Fmp5fKLK5x2bCyqr1Fn9zTH2Ukl02KOexucLminZsaZ6PMMtwgapOLALsAsZ4E4ksYgcG1YHpmhZZ8KEcteuxRcD562rnKfY10/l1WgxbxiyZYmi5f/sGL3MhwCOwiDuA5BiRh87D8u4ixjivAjfC/K/C0+9MO/bydd7nTvWEyTMnzqYfAg8R0PgRAjR/C/hNebx/9wY/5HtccsID7vIRr3Ts4J/zbR7dvwurojPt4QSm33rK65N7vM49cipGbBmzYcmMe7zOu3yD7XoEj4K0IwLFKDGNZjc3JWbjj/g+H//oTWEUE4DHcPOORIz8CbLul0B/dc0bvMc/56/xU74NiNPpdW3IJMZ5h+8l9JmL9XULOWRm8wJ28ctuZSgnbAW74VG0VlNbw0x5tssUaBhphUp0MLgR9g9roWxguZGaRYDlFv9sJUBva6H1tHPP8knGYjmitYajcUkxbkgKTzpuSI5b9CyBWYY+nogi6vEC+7SmfKrYzFOeXM4oW8OySZk3CetWYi+eVJpliGhsPVTW///MvWmsJel93vd7az911rvv0/t0T88MZ6WGIkfiSBSkmDGlSFDsIBEkxTaiIJEROKAhf1ACwwiQCJJiBTBgG5AQR4gQL1LiSLZERgupjWJrNpLT0z093T19e2737bvfs5/a33z4V9U59/bt0ZAiKb/AxTmntlOnqm7V+7zP838eHNOg5Tg0bZsp28dUwp7ahiZMFe3Y5CBSJBqGicY2VAkUk/wBYSoDWxl4poGp4O7QYjsoojMMBskuS+Z55lWTbQ5JSKmYJlULpp2YzYMG27k5gMqVVfAwYCzExhpAC0DUjNnFYhBd+nknn8OiHlIpMPIbUqHNmsxb/KD2gZfcSQYmJy1z4s4dk5oCJ9ZAihlHVDJ5w+EQ13VJkoRKpUKWZXQ6nbJer5BzFsCsyFwESuAVxzGdTodut0uSJPR6PXZ2djg4OChlrvV6nUqlgu/71Ov1EqBVKpUjssxCMtrr9Tg8PGQwGDAajRgOh+VfwYB6nlcCyaL20bIs6vV6yaCGYcj+/n4JFicdUYvjNtlM0yxzHjudTskmFsyp4zg8/fTTvPXWW4xGIzzPKxnRQrY7KTl91Pk7CRQW4HwyL3GylnFyveOs70nXhdb6oaLcE6+dY9OPqoOOXVOMU7Qmn/FhmGJ4NjpOSbojcf1MEqjVIE3R+/soryLA0LRRykCncV6P6Ix7jGksrqVRAAc7cLArzGL7EO7dI9o6REcJZtXDmqmjq1UBja2pcSRGtSGSjDSWaVkGwQjd6aB3dwXgdUck3RHDfkR/kBDHKbWaQ8UzSYKU/iDGtg0sU2E6Cco2UYZBFkSk+yHdrR79QUy/H5emMYWxjTBwqmTvbNPA9SySXsDhYUi3F1Ov2SRaE2lwDcWTzy3y9ptb9NOUSsUkSTKywQij2RSAbcrG5DA9zDLL6Lwan9C8N6V0LqzQBqRZruZ7eH3Iay0nR8zGVUUT19TDzNJJ7UQ2gAmp6eQ2T2ASlBa2zo5zsxZfQFtiCkuWKehMCaDLVO5sWshLDalhLL4mzeWdsSPMXbchwKxXF6fQgylhC71AzGIqQ/DzKItCglkZCVjCHIPS0BEp5+GUgMeRJ+ziMGcbYzuPxhhBUJFpRTSHFUM9HTOooSvupUNftlUYyhRyU6N4WuX/dOZEzmOnKcC1OhjXOToRPH0V3noKRr78ttQS8FzrT7CC5L/xBEbw+GvZH9c5yC3YofxzZj68fhmLcPQyOHr+DUTeXbjyPeJGpY9NV/mDvHwqT7ZxeVHJOGkFZgSZrVGpwhpB5iriVGF7CVmmCLoV3LmEJDPxjBhTZwSZTaxNfCLSfKOFc2k/dVnvz7A1qBMlJr1+hXTPxWkb2Iki9TRhzSbwMgw/oVoLSPOLas7pY6tU5KtajGtGkc1o4GK0LayhwhzJflpDLfWDsSauKlJPYQYyLbNAm1KPqWvCtpmRwgjBO9BYQ40zyMpzMWYTGWs/dQ4WXfk+p6Nx+hlx1cBIMkhSUtdk7ymL2atgDVIST2EkGjMwSKq5he8kvfyIe8ARoJg/QDSUPbSiNvGhR1r++bgpklaFuHWy2RN/j+p2HZs+4Ub60CrJxLRJxmkLWrQZ4rOenmHB3GGIzxobRLh8hef4dPV38FzGDqBFlEaHsfyhqCucAV4CXoSgCdeqT/B5foArfAc96izzgMtcY83d4PTyHS4vX2Pay+UP7yGgq5CvWtBdsLnBRa7wErc5xwZr3OE0W7fPwDtKQN5TYJ/uEq83pKawBf3aHO2LbXyGOETsM8M1nuCNGy/LMlfH31HKTSdNYRLZDquwka5x8Ccr8BX5LtoAXVhc4Pmf/xPe+Pv5Nk9D1q6yubDERW6URjWF3DQ9JistQOT4VUBiwSq6RKRYhKabu6KmRwdKi/M5WWs5Of34+S/Foo8OVFfq6D5KIquVc2JH19EqK+sWMzRm/g2jRFMxxeClHSuqlphZ1b2QNDPY6dY45R2i00yyrY1MXEqTVCI0iv5i7lzKKCK5N2D0QJGGBu12hfcOm9wbuUSZom5lzPUjmk5M0wuYag6ppDEOCdaUJ3LUGHQiLqfx0KTd87k/8DmIbDqxQTtWtCPoRJogTZlyTWqW1OG2owzHyF1NDYXtSh33MDUYhIr3B4p2lHEYJuIsqnIfB0SZVYSMaESWWrUNurFia6Q5COS7QjUizUKqZoXvX3b5/zanaDOkbptEKfQSixkvlDOghDkUxvLYMyV/wMpguSoH16VPByAD9Wlxuzt2/guZapGzXU4/4cmXqYfxwWT7D4JZLOr90jRlMBjg+z5a6xK4FbWFRWQEULqYFvEVRb1j4TZauIbu7e2xt7fH9vZ2+R2GYdBqtZiamqLRaJSxHc1ms5S9Fk6kruviODIiEkURg8GAXq/H/v4+QRDQaDSYmZnh4OCAra0tQOoLG40GU1NTzMzM0Gg0SiBcZCUWYKqQsRZGNpNAtQCchStsv9+n0+mUYLWoWTx37hy1Wo3r169Tq9WYn5/Htu1SKltsb5KVnQR5JxneFPs4KT09LjMtXo+zkt9OBvFRbThMSA766Dij14+xRuKqpaq1vLYwlJrFNE8ZThA2kRQ96Ao4HHQEYA7y4clBD32wBw8eEN/bpb++R68bkaQa01BMT7u4Sy3s2TqMRvLvODuPqk2JRDURMx0qVXBlRCkLYpLOkGB/wO7uiCBIaTYcWrMV9vYD7m+LLqhRsWk1HerzNdzVaZGipilZt19mJRbnYBSnhLlpjKuMsq+bai1OqIYiTTMODkK6vYh2mDCMEvpZhm+IVLTy3AWena5x99X3adQdGo9NYbg2DIfibgrycDCQYvAiHTaDwpFV57KJI/rSSY2EaaC0BOkahpq4liavqZxFVBPSU/1oNvJb2Yp6vzTPFPQH0sGtjI7WFqZW7nhq5S6m+bqxk5u+WGO30cI1dG9W/rYXxt9hZMLITR1CozuO7Wi2BYiZiYxBWHlchZP7J0W2yFF7DQF8gSsy05k9OJiBLXHWpzaQ7U4dyrxGbwyEi6zEohMc5LEchZFN4aRayGPNTH5ruyX732nkYNXPaxaV1CbW+nD9CXmd3xHGNPAmtlcY2BRMzQRoL9ja4/LSI9LT3BBHIdsp1pscVIDxNCb//gqaNcqwBiZGCvZAk/gKMoVXiTCVJolF7hVmFq4RQwZDHDJtsh036KcuO0GdKDPpREJtdwKPdq9CfODh7JtUdxR2X2OkAtzClknUMonrJr3QhBlYrbVZcdt4Rswwc6mYMQ0nYM+u0gOMWGENFXYPKvsZZqiJ6gbBjIF3kFF7IPegqG4SNkQ6Gk2JFFWlimxo4BRyOzX+7UaYURjZ6IIITLUATUPeu21w+hlOO8EeGpi9EBwbMs3wTMxWzaL1jklcg9GcIrMzCA3KgfJC8VCw1jkYLK6bkkl8xDVQDEAUNYpKjxnDAlwWv6uoWyyZxm/alfIh2y24wUWGVDi4usL+MzNEOKyxgRtG7Lkz7FenWakejB1Rm0hP8AwCDi8gAO+xfP4ZeHv+LF/ge/gir/DvO58m+Mq0gE0Ppl+5z0vmFZ7mLXZY4JVLX2D6ywFcR76jMNPZhMZ+DPPQpsU6p/la52mCfzcN94AXwf7rXeLPNYj/RS41eBb4mOaZc1f4Lv6Ij/CWAGFO0yOPcCp6seuIpLQwsilyHPsIUMxdTw++mAPFL8vx4h2ABUjg7/FL/PbPv8v/9f/+LXg25ntPfZ4W7VIqCxAh/cFxJaJc+2kJDC2sYzWMJkkJLl1CUssUkxsvhMR7NJt40vRvc+tGKXuRSZwpDkKYchRppqhVQwxTE0QWYWCKE4ydI/NQaEjd7sMwJt0P0HFG2pEbfdg26OxXeP+wyZ1BhZt9k/1Qk2RgKpMl32elkrHgeqxEDqu0cVc0aq4uERtBjPIszLqB5Qk4H6UGh7HBTqB4v58xSFLmPIu1qsm9Qca7XTl/M47DfMVgxdec8mMWvJA4U7QjhzATdaKR96V6acxQR6WRjZlPT3SGY5jiepppHgxhP0jZTgZ0EocOWzhmlQzNd852mXGqfGG7xYxncK6W4RlZKZUFkfkW96XCtEbYRUqZ6vFbVFG7CPlAab5OPo4vclOlc9kpkJvbKKXLukUD9RfWKhbtPxiw2Ol08H2/dBUdDof4vo/jOExPT5dupYU0NU1Tut0uBwcHGIZRBtxXq9VSOnp4eMjW1haHh4eMRqPSVAZgMBiwvb1Ns9lkbW2NWq2G4zglMCykkwU76DgOrusSx3G5vVarRafTYWtrqzSzKdarVCo4jkMQBKU0dTQa0ev1SkOaIjuyAIqWZZU1lkXOYpqm+L7PY489RrVa5dVXX2U0GmGaJtWq1MTt7+/zwgsv0Gg0GAwGtFotbNum1+udyAgeB3STTOJxoHfcFfUkZ9STpk1GcZzEaH6r2zBKGOwNqNRcYagGEfR66FoN5XmohUUBi1EgINHMmb/DXdi+L59bM1IX2GxBp43uHMLuLuF7Dwi3OgyHCUGYkuZBsL1+jP1gwFTLZerSCLvZRHlVcHN9omHmvXtLQKPrYlYcslHM/n7AcJgwPeXS7kTc2x/iGgZ2Du5MS+H7NkbFIe2H6PSALExIuyOigwFBIEY0UaqPAEXbUDljmGHnjF+WaWzLYPHxWVZbPtd+/xbDWB5ls7ZJBqRbu9if+m7OzX6FtN3HnJ+WY5HH2CglkRg6zXKmESk6LwCjMcEkHtNGqLzaWpOz1yqXmCpKYGjktYrGRAesZJU+oGP3rWwjT1gzf5jHZ+QyUn8gQG36QMBiUXtYOJl26wLSjFQcU61YavgGNehXhQncWpTXUSXF/n15AAAgAElEQVQ3lSlqH6oCIJsdWNsQkOVE8ge5dDKXgVqx7IcbCTA9bI0loJ3chdSOBFwauVlPZSTbCioC/GJbfmevIfuRqXG+ZAEUrUSAYWzLd2ZKjoefwGPvC5B99aPy3WYqvxUlwPWF1wWgDqqyX3Yk3zUZLVI4lxZgr2iT8tHj0r5yPY6CwodY52Ofi/rEv6oBCHuY4XRMEh/IRJapRyZhxcZxEqZbA4LYYpA4DDNHmL/M5u5wmvXONKaRseD38MyEOa/PblCjO/CI2x7etoXTBmuksUJxHQWwBxnZtiJsKgarNkHVpuWMaJpDma8SbJXmuYopppWRORojVniHGdZIE7QM3G5G9UFK5hg5uFNi0lRR4kIagtU2MRIwRwq7D2aIyFUjfQQoZrawgkacoS1VynIzS9FfUyRVg/nXLKxhhrYMsmYVpcE6tGg8s89ufQpraBA3E7A0Rt8cS00MMddRajwJ8vcF+1jMnGhHZaXjFY8wkBN/ZZ2jkS963H3i29FuwVfvP8uplXUIYJsF7nCa06wz4+7ziYM32JuujWsPc/dRXgS+N//8FQTcXQeegJvzq1zhJX6Lz3AlfIngVg7u8jHUg6sr/E7rR/idl3+Yv3HuV7nIDaY33xNJKvk2AwQ4dqA132YmdxUNfm9aANsrwJcRkLjIGNzVYO7cBjPs8YBlIlzatNhgjWvhZdmPQq46CRSL7MRcxlrWT7bgk5/6HOc/dYtf+cWflu+uAV4DEvgSH+fXDv42T//QW9zmHC/wGi3aXONy7niaHKlFFLZwEhSmExDyKKvnEBLiAA6mKVJUQOoWLXUyODxJivptbp0kZmtk0XJkwHmQKNqhS2MU4noxcws9opFFNkwxwliYvyghvd9nuK4xTI27qFCugTVrkOwl9A49Njt13un53B8ZdGMYxJoklxIdhppbXcVCxeWZ2GK6OmS6kUE1HwGwTLAkU9FyE1w7wTczRqni/iCjGycs+TY7o4R3+wEVZeMqU3ISDUXDBt/U9GKTVHsEqUEnNtgNFYNE9iPI0iNA0TEM4iwj0DGOsnJJqsYxFM9MaaYdza/frdJNIizDpWmtkWWa9wc+n356nQVvmYPIZrkS4Jkpu4FX3o/M/KGWobGMQsWrSnlpIUw5fjuxJm4xBcAEyjIdY2J6IdwwtCrrIT/IbPJ4+0tdfpPOmsfbpMtm0Y5LHov1C+bM8zy01uzs7DA3N4dhGHiex9TUFJZllQwgwMbGBu12m/n5eWq1WikXPTg4IAzDMgNx0hW1qI20LItWq1Wa2mxtbbG8vFzWBxZg1LIsLMvC87yy9hAoAeudO3dwXbc0ujFNk7W1NWZnZ0mShMPDwxKgFjWOhdlNkiQlsCz27cKFC2xubjIajbh06RL7+/sUDq6Hh4fcu3cPx3GI45i1NQnbdV2XV199lf39fRqNBr7vU61WS7DabrePsJknyUiPx14crw09Pn/yHBbtpNiMQr56kiPuo1oGD0VqTD7cj7fCFXO8jEjBYq05OAxZ9m2yVLP9oM+pnQPZJ99Hzc0LYBsNxxu79TZ6bxu1dgYaLRmeGQ1ge1OiKbpdMaFJM7FRTjKiSI6RbRlMTzt4eYVz/71dps61BRw6nvz3GibKdtC2A34VVauj6zI6msQiyXx3p49nGJhKMUozDAVnFmpMLdXJopRgq0MQpCSpZjiMCQKp2XUcgzjOShesJHd3feLCDPfe76GChCeenudwu49SEEcZw+0u/Vv7uK5JlGScq8iN2HNNrv/uTc5uHGDP1bEaFTEFqlahUkHt7qKLCJocFB6RoxoCEsd1ivmAQsE2yrCXDE7kRjdy3ck2VD6UNh58KO4xIo2RG2dhCf0X3+zKUf7JCyh/P+myWV5TE6Bicv0iT9ELpEO4Mw9zuwJUvEAYOisRI5mibazKOvM7wuQVkRQHU7LcoCbMWhFHkZrj2kgrEUBVmNpsLcLypgAwO5JrPs0E/FmJ7ENRewg5YNVw54wwj4XRjZkJ8JzdEwbxcGoMUIsaR6VzIx+LMuaj2LcLN2FzGUYaLr0jIFBpmXc4BfdWBVTGtnwPyPe/+h2wPytg0R8KqKwMZdn21FE2swR/ajytAHeTRjeF3LQEmxPzJ89heWlmR+dDbiJkjKW2xodBjVpq9PREpEYZizEhOS2bQS49LRBHvg+JxmtnDDwDlYG/owlnTSLlEXspqjXENlO68fii+tPts+x1q5yePWC+0iPTBt3YY6PdIohsoqGDCo0ScKkUMY/RAr7ClkHqyn5UtqGz6GCplLo5wkQTKInpqJgxDTeg67v0Kg5giPeXgtatgLRikpkKc5SiTUXvMZvRrMJIwG3nwDAtwGpWRoUYichUMRQq0Rgq4/Bxh9pmhmXAwSULb1+G140YnDZU70PqKIxY0T8rrFPqKuZfy+gczGLXNWlFo/wE20uIXQvatriulhfQ+NjLNErAVwA9jt0rinkcW6aYp5icL3b1qjjfmUiVP5zBTcxDkRqTMtPj7TiQKPIS28AXPcL/woEA7v77S7z+H7+IS8Qym3zH9BVxRF2e2NZ/CzcvrHLhD+8Jy2YCyzD4lMG2O89tzrHJMiEuYeCMQVgh7XwF7FXxAPjNzmf40eav82T4Hhwwlrl2EQC6Aacv3OEM6/Ld7fw3/CywigC3dQQofhaeeebL9Kjz54OX6N+bK7MQuZevN5tvo5Cb5vu2+I/fY+tXzoIFT/zPb3D99edl/h5c6XwHf3j1PypjNPhsfhxW4Z/+b/89X/zvXuFp3uI065znNmtssMAOV3ipZDMLUAhjOepx2enY1CbNI0ys3D91bHRjWCmZlZ/3RzGKMHZILX7nxDPmUU2ToXXKpGNqEY+Q5TzoZFO6qF5T5foZBpFOeDDMqNsGqYb3epqzVQ9TaepOxMJMD9vOyHpjjmr4510OtyrMnR9izdmQQdpL6N81CYYVOgOPXmznEkmJpgjTLI9rVCxWLKr57t3omVzu+6yaQ6h40jmMY4np8EysRkK9FtDqRYBHlEm/4NX+FjVdxcakp0MsbfB0s87pmibK4P7IYBBDrE26UcYgTjEUuKZBlGmRoGpFTEKgFR+frXO9nWLEik8uOrw/kL5nmGrujwyuthUVSxNkJs+qjwBQdU3+zV3N+vAcC25Gy06Y8kLqlZCqE3O/XyXKRzlV3p+ZlKPKrUWmTxrd6JwRlHF5YQ8LtUQBMGWbjLej8v5yXu9hKoNUZ5i5sNbSHwwH/9JjFSdJDifB4Ae1SeAxaRATRRGbm5tkWUa1WmV/f5+lpaUyQqPb7bK7u8va2loJ7CbjLTqdTslCFtvwfZ9Go0Gv1yvZvUIuWq1W2djY4NSpU8zMzKC1LmsP7927VxrLFLEY7Xab/f19HMcpv7vVarGwsEAURdy+fZvZ2Vlef/11Hjx4QK1WK2saC+BU1DEWACpNU959911u3brF6upquZ+FbDYIApIkYX5+nkajwdraGr1erzTyuX37No1Gg9XVVSqVClprPM+j1Wqxv79/BPQBJWCclJkWryfVqB6vYzyex3h8nUet/2HaSX218po6ak/w8HLlP5liNErIEskajMKUwc1t/FRjtXyyrS3UqVMC3sIRtHfR999HXXhCapWSROoZhwMJvd/fhzBERzE6zXAbHm7dozXIpZztiCBIadQdAVgtn+jdu7gXb8L8Wg48e+h+B25dR29twv4+abtHMorYH0bsxgmOUqQ6I9WaGdtiZd4nClPeu7bHwnyFP719wNVhxIJtMm2bVA25tRsjaJpWLkOQY5BpuHbjgDf6Iy75LsPDId1OSJJqDEOOT5xkLC9VaTUdpi4tEu/1iHsBo1HK7et7TG31mDs7g1urym/wfZidRW1tlTJTkaVmuZmNHqtODSWgzxCjmxJ1lSYWSiRiavxnqNxsogCJE1qLQo5x9Fx/uJH7k0wmjnQIP6BNslSTBjGRI6ApMwT47M/A0gPKCI1uE3bnYe39HNgZ4+iIwINOaxx0nynZhj8UMNWrjdm9Wl+mVQcCPk8twcyB7HdhYnNvNTeWaYj7aOgKSN2fFrax+O5WGxa2ZN9vnxPA+PoL8GBJvqeoaSxqOeu9MQtJ/hvevQC3LsDqPamz7NXHstnAk98zvy37vLYh8wsjn9vnoNGB1fvCamolILfVluNXgj7kvBeOq5MOp8XrZN0iJ8yfNMApQeTEMhx7f9LnD2wnPd9KQPLB96mxdFFhBUXWIJiRpvJATlbqGwwOmqjFAMdK6SQ+68MZtg4aPL60g6E0UWaRZAbd0GMU2oRdFxJDZNAZJFUxm4kaJnZf43YzzFAR1yCqi2upu2nzxuoaz1Q3SDHYi+tsRQ1e217j8LAGXRurL+6l7mGCuzNCu6ZkI6YZ4bRLf8nCiKB1O2M4a7BwpYOx/gDVbJA1fNKqU2YVRk1bahpNqbRSqWb6Rkz17W2Cs3PYPQunV8hm5fgYiWawIBLXwSrYfXFINQNN63ZK0DQYLhuMKmLvb7kJSRM4cMrrQxviPKsnr5sj5+KYtPSE+YXUVOfKhyOfj5/bon1oy+YYqByd9EGA8aTlLGAdRqEv4GILfj38UULX5Ty3+CO+mx+u/j989Kmr4or6Irx64Sk++gdXj9YvPgab7jJf4VnatOhRJ8LhfPM26SfX2fzYMp2vLIqU8x60nmnzNF/jPLf5Nf5z/tMf+3fw+Xx/HgMuQPxT8MfN7+QrPMsNLrIzmIcvAp9DQF+AgL1XgJ+Uff/qn3wM/pMAXvRg63eBl6DVgPOMwdSLjA1skO1s/d2z8E+24a8vcP3+ZXE7zWWzwfo0tMH4sQHZx3z+xrlf5RqXWR+cpr8+x/VffJ7rLz/PJ1/6HGtskGKyxCYv8hp/xHflkRjCKoZQRmIkJWgc1y4eBZDW0flF3WKRt/goyenxXvrX0WsXuHe0jQFj9oHJekUdpELRj1PizCDNYJhkXOvapFoxHdu8369xcbqN6faxBwHZ/T7bG3VWnuzJsz/K0KmY2AwHDrvdKkFqEWUGqVZMOZqWA/OexX6o2R2lDBPNjKtY8DKmnZSvtRs8/rU9qucDuZF3BmT7A7qvx2xtt9ga+OxHDoMEHoRD7hrv4akaCSmxClnNlrjQqDBKNFd2M07VTP7v9lXe73+JurdMw1qhoecELCeKeaaEhSzPbcaf7Iy4knyey+Z3sxu47I1S4kxKkHoxRKnmfNNivuLyTCtlJzToxDLvyk7Cgm/yZNOmaXtoDVUvYqk65P1eLT8vUGji5dYjZjcwFilMMo352PpD84vblyybD6qro0KH44PsqpRDPLr9lclQjzNURYZgAUB6vR7VapU0Ten3++zs7LC0tMTMzAwbGxsls1awcgUDF0UR/X6fBw8e4Hke58+fp9VqlXES7XabbrdLp9MhDEOiKCpdUV977TV6vV4JMNM0LWsFDw4OWF9f5/79+2WdZBAENJvNEvi1220uXrxIGIbcvHmzrKv0fR/TNBkOh2Ut5Gg0olarUalUSobTtm1OnTqF4zjs7e3hum4pm03TlFqtRrPZpNVqUa1WWVlZIY5jtre3S8fVwixIKUW32y2ZPeBE5rA4/pM1jY9iG086hyf9nVTL+O1oKr+9FaMoSaZJEtl/01J0OhH2fg+dpMQHfdSdXSoXllBLq/Du2wIUAZLcMVUZEq8RBNDpMLq9hem7eM9fhNlZGAzQd9/H3e7Q2u3R7oSEYYo5itC+i2FbJL//+1iHe5LZ2GhJNuPeLrTbxA8O2Lm2xfvbAwZpRpBldDXM2SZNSyQTBwchF56eIx3FvHPjgFiL6cuUZWAp6KUplpKYi0Ea0bAEQHr5Obdtk6eqHq4y2N4Z4XkmVg7o0iSjUXfwZ3ychSZmq4Z9/jGIIvz1B1Q39lGWSTqKRIKqlMRmaA2muKcWMtQCNGqlc6MPA5VmEptRSFULdjHXSJRGOEeup6JGcXx9GUpLp18pAQjAt0uHeoShytm1IrLBSAUIVQcyvV8TtnHpgdQAbjwmQBFyVs6hZOAiV5Z/sAheCOdvC2Aq4iTaLQF+nYYY10SOsHN2Aq99VIBkAVLTolYwl7uun4b7y+M6yaAidY71nuxzuwUX35Xt3rwg4E4rAapmniNppMJYjioCIitDkbeCMI6n7gojuDcr+5Xm/3ipKcs3u/J7qgNYuS+/eXshd1xNc7OgSI5Htz5m9oAyB1EpWTYzxhisrGksljkGCh8CexMs5PG/spaRE9b7VraJcROtBCwZeVFKZoLTk9pFlYI9UOhdn51Fj/ea+3x1a5nHl0TfF6cmQ+VgoAkSiyS2UAOLyrZB6sLobESlGRAGNmrbxe4YxA0Tu6vFzTTOj68F219Z4H8dfIosM6j7AUlq0On66L6Fc2hQvwu1+zHWIBGp2SAgmakRNR20qfDaGYePm5iRYurdBBWLhWJWr6AtA7MXoE2RjlWGEUnDJfFNEjcfLLUVo8fnSR0Dfy8jcRVZzvSqFKKaQdSAuAmJnxEtpRAbOLsmiW+iTfk9WHJy414OEgtpcjY+7lJnnZ8LQ+bpvCD2IXZxgkmcPH+TrKQ69r4wLyqUEt/ydhxk9GHY9yliIDqvLXLtE08wosINLvJ5vp8fXv63/OzHfpH7PzktQBEEKE4joHEa9pnhBhf5LT7DPDt8ll/gBV5jgzV+y/1BXnvpBd566SPsXnmM/e0Z9hdmWWCHOn1+6sIv8T9++R8R4nB2Z4ugCq9Vn+cal/kSH+c3Xv8x+GcIS7gH7Gl4SgnwqwFfhGd+5svs/8AM9/7+hdyEJoFaQ+ZfzZer5dt4FgGQi/kxmQX+swX5/G89YS0L45i+LP/0wlu8uPAa57jN3+Rf0a62+O0nP80XLn0PvjlknxlatDFJeYuPkGLi5h6mEW7OFaZAmEtUzXKeS0iIe4RdPO6UWjRhF084j3+FNYtqImvRQBHrjFhU49iGYi/QTDtSx7gXGdzqL3DpsMn3nH3A3psmK0/2AMhiDSPxNkgCgyCy2As8bvQ9ambGx+faLLR69Icu7x622Axstj2LnUAzSmGYKqqpwjU0n3vjNJ/Yu0+WGlRbIVlssLdfY29YYWPo8fqhyfXOgLbqEegufb3DvDrPQjaPpQweDBNeXrAYJiZf2gmI1BBNRs1axMLlUG1i4WLj0mGf2WyJpvLxlbD9nmnwjP5efOVwt59StRSOVuIUm2lmPJN5T7PsJUw7MU+2QoLE5GavSsuxsBQMU/CsFKVgr1+VSMmJusXS9TQffDIUkClSLUwn+ii7eAQ4TrRCdpoxHoRXgDFRt2jo42nlH9w+9OV33BQFOPL5eNj7JEg4Hv7+0E7kNYG9Xq+Mv9Bal+AviiIODg64du0aN2/eZGVlhTNnzpRMYmES0+l0WF9fZ3Nzk8XFRc6fP49lWWxubpZ/RcaiUqqsiTRNk0qlwtWrV7Ftm09/+tNMT09jGAbD4ZDd3V3a7TZzc3OlIymA54kWYHd3l0ajwXPPPcf58+eJ4xjHcVhdXWUwGOB5Xgm6giBgd3eXw8NDdnZ2SvBXxHdorUvGssiWLIxvLMui0+mgtaZer2OaJv1+n5mZmdKZtTDAKaaFYXgEyE2eo8n2qNrDyfM8uezx1+Os4ocBiZNy04lnt8yb+DPy64HJa4oivvTkZqFwbZNuN8J25CautSYLE7JRRBbE7O+OOHhzi7Ov3qb2+CLWk8+Jmc2wD/EARgP0/h7JtZsMbm5RPTuP9exlKbC+c4fg5iZ7dw+JogzLlBB5r+pgVByUZWDWK2z9yS0WXBvjx/8r1NyqSFH7bfTWOs7uNitrb3D4L1+lm8igQC03j3kQxUxZFi89PkXl+cchirjs3uHU/pDn+zF+xSLNaxNHo4StdsBenLARxszZJjOWhWeZVCoiBXZdU2SzYSpxGK6J4ZhYtsFgb4DONP50Q+opOx3slVmJ4uiOGPQj/OEQFhclDzIIJqlAyLSMIB4X1BfzJ2I0jriipuNzWqxfyibUuG5xfE2Nt18OChw77w9JyDj6edLi/rg0VXOyLLW8plIBSL08aL7YZmwL+IkcCZq/dllA2Mp9OHMnZxLzKIvQlbrH9dPCSi5uwflbUvu3uSTTNpdFQmrmbJOf1xWaeY3h1afk+z/921InaeQAb3dWgODcLnS+T8AoCHMHsDsnbN9zb8L5mwIknVhYvkFVlitAWODJ8odTAoCbbQF/TpTLcJW8T808f1JJFIaRS2I7TZlW78p+92swsz92Zu34AkRnDmA4L8dlEsgV5+ZROYlHQKAafy5P5MS1cZyN5PjnyQtgYn7Z5Imev89EeTDJIOZ/qnCEnrz3Fb/nEdeUNhWpo7B7GvFWkKFjI8kdRCNxEJ25nnHt9hPEy5qlV+5yGFXopBXC0GMQObS7Psb7HrUHitGCJjszwrVSgq0q3gMTf0vyDDNTgHlSgcwWOWjqaVrXFB27zg+98uc8Xb2HrVI24xZvdh7j/d4U92dncTsGTp44pH0Z4PQe9EmmKmy/UGF4JoZEkdkWvdUp7MEUiTcGamYA/k6MuzfCud/BmKkRTTsknkHiGSgtUlOVCsMqn2V/MwucDiitSGqgTA0DRTydYQ1NcUwdaoahgTc9YjTyUeF41GEM/h6+qMaAb2JZVZ6KsdSUo9dlMX3SzOa4a6pWE/Lksk3KTQvgUHyOkW6ZGktLrWOrfhDLWAMWIX6tIYApX6fNFHv02WOGrd8/yxtffJmf+wc/w9/kX/HLb/1dYf/WgMdAL8Ob00/wz/gpfmPwo3ym+lt8ll+gTo/f4Ef5dX6UP7vyvQLyaoAHawtSV+gzZI0N/uHbP0fryTY/9zP/EP5A7hkvX3iDl3/wDX76E7/CP33h9/hvnvoXUh8J0MqP0a8DH4PFL7zHZ/kF2rT45z//U1z96Wfh6l+D04wD69fz5X8P+FwONl9BgOHp/DgtIuBwa+KzB7SktjNdMbnMNXyG3OAi38Ufc8c8zXp6hnv3TrN5aonv4o9Y5zTbLJQAsYCAk+6oRTNPAIeT8lSAIq/RtBLSxJRBDtSjTW449vlYz72AEABai6NT+ZkMTYrGIMPIJajjp1wmXpwl2D3ebGXimyZ7gcazVL4OBJlimCpGqeLeQPMHD0z+dP8sTzZifuQ7N8k6MUlHkwSaaGBwuFfl9Z1ZrvcsHq8lfOfSLraVcmN7hmtdn3e6EKZgGRpTUdYV2oamaSd8fquCZyzy6b91gDq7AqbJ1EGXM+/s8NxGytlri/yTYYXd3EOiasyChtvGdeazU/zQzAKfmO0QJCaeWeXJ4Ds4rHyUmq0ksB7oxxl3hgM2jLu8xxvMc54VvUjVtKjZBpn2qVgGSaYZJeIwWjEVpqlwTMXWCDJtMedG2EbKfuJyqjqiHVdpx4rtQNGLbVamO3T2pujHFobS5WMn04VM9Og943jt4iRILGoZ1cSyZddKH61bLOYbE9s3yqGBD+KZv86xiuPxCHAyYCzq/YAy7qJYZhJEFJLMImMwCAJc1y3BRuF+WqvVcF2Xp556iunpadrt9pH6xTAM2d3d5e7du9y+fZvl5WUajQbXr1/nnXfe4d69e2xvb2NZFs1mk0ajQb1eJ45jzpw5w+zsbCnnzLKMZrOJZVlH4jmKesZWq0W73cZxHPr9PoPBgNXVVS5dusT58+dpNpvYts309DSj0Yg0TUvX1iKr0fd9PM9je3u7ZA6L41UY6RTvwzCk0WiUURmDwYCDg4OyNvH27dslyB6NRriuy+7ublmnWRj0nBRbUryfPJfHJabAEcb3pIGAv6hNmt0cbwIIj0q2SsCYj6Jk5Cwl49GS4rKejM4oHOsNpbAUxHHKaASeZ5Eq+X06SVG2iT1VZd53WPvEGYyFOfTe/tH6xdEAff8e8fXbbL+1yeypKazZBtGVr3Lnjfvc6QTcGkV4hmLRsWhZJk3HIgxTVpsVzJUF6PcZjhJxDZ1aAMsRE50slXpJywLHYXraZT+IWXBsuklKL80467k8cXmW6gvnYWYG5Tj4Cwv4/T5zSSId1MGAtDsg2ulS2+ziPxhwL4rJ82Mx8w6u65pSS+mauK5JEKS0Wg5JIsxrvx+zt3fA2aaP02jQf/09Ot0IxzYYDhM8zyS8u4Ob5HbYlgmuO+4gl3er/O6UHb2mUAptStV26aSajxQU8w01tnb+oEtKqQmQqCevmnErDScm1zsBMKZG/oxGQKI5sf4k8DC0dHjNdJxf6IZjsJGaMq/Wl+lPvSUgrj01djAFeb87B3dPwe2zUn/Y6Io76DuXREq6vSBgq9kWd9J6T0DdmTswuyugsKhxbHYEZKaWfLaKvMNIgF27Bc6+ALVBDVY34NINAafNrgDO6QMBbakhv3uUg7l2buTjBbJPaf6kKDwZnEh+a/E+dOW3JKYsO6gKcPaHkhV5+5ywsHYs3+eGItHNzPHxs5KHwX5xGo8b3RhacJtSY0YyVccYw8mBgA8au9Lj8wzj16PL6LE1Xbkj6ug8pSVEWuUDWUdAJuUFVrhqakOhLTBjjQ40oavG9XOpALmkCgNXcXjZJJmKMTsmnYn6xUHksL9fw95wqd+B4SLE9Qz3XZ/WjYz63RH2xj7YFslsnbjlEjVMzMigd1oRTyeokYkVAJniQmUb3wglniOzqJgxtpmCpQlbJt6BSbZQw+qGWN2AwdkmB5cs+mcT7EaIbaeELZtBYMkJ0aACA3No4HQViW9TrRj49/MIDCjrPlNHkeS1lJkjNY9RQ8CjkWjsgaZyoEkqJqGf0rhj5iBbY40gdcHdNQnTmtShmqAtStnpJFZUx+8dxT3D0DKQVTCSKQ/VNB65bh7VCgBpqEcsWIDCSdnpJIDM3xfAqJh80vsCPBRSzD0ESK2O5w2p4DPkIu+y8KkdvutTf8TH+RKv8+KR+kW9DL83/TK/zN/hX1/5Cb7zpT/gad7iZ/mf+J3/40fgl4Cv3AG6cL4hTOCLcHfrEqd/aJ1X+L6s130AACAASURBVCLrnIZ1iJ504ApSq1jEZ3SAgcR78AoiQ51FQONV4LNw9uff5rP8PM/xJi3afJwvsXFqjeGpCikWG6yxzmm+8syz/PmlTwow/D/VOFOxkKMu5segeH8Pah/bZdj3ydpVuOpx9XMf5Qt/e51z3OYf8/fYff0xmI3hlg2r8Hl+IE909PEZUqeXg8SHHVCPG92MWUcTcifVJF/eJC1Nbsq8xQ8aBPgQZjdaZ2iVHplpTADIjAylMjKdYOSRGnqiwFoLxZ6vp3L4IFmCQZphxoqqbco9F4gzsA2YcTKqluL7l2DNb7M5qpD14nIfooHB5maLN/enuLJvcKmhWfAivnB/gT/c1nwtvMd6/OfYRoV56yLz2QJzls8oMXhxBs7UhhyGDv1Yk2qFWp2RzMY4hiRFeSaGneCZKYu+xf1OjQqX2VMPOGSTZ/QLfPeSx8dneszX+zhOwkqzRy9wiVMDjaIT2bRjmweBRcupU+8+zg3DIiYEDXbed61YBlVbbgS+KWY48xVFnEGUijHPvUHGlO0x7YX82b7PXgieCd1IU7UUt/oecTZHnBnYRoZtZGSpmQO6PGeRsX9H0YraRfJlrEKyqsd1i0XNYjFu/xfcosrzPHmtfNAl+HW3SWB4nGX8elqWZSVr5rourVYLz/OoVColQHFdl1qtRqvVYm5uDqAEi4Wb6OHhIRsbG7z99ttlXuONGzdKI5qFhQUWFxepVqssLi6W+YNFXeNkJAWIgY1lWUcksgU4NU2TLMuwbRvP81heXmZlZaXMaozj+EjsRpIkZRbjcDgsAabv+5w/fx4A3/exbbs0hOn3+yVwTdOUJElotVpkWcbh4SFRFLG1tcXU1BSXL19mY2ODLMtKZnR+fr6sWSzkvZPnqHidNLuZPI+TbqknsY3fCmlpduyPCdbx62lai0zCMBSeZzI95VGpWJjNBjqSMBrDd7Gm61J7t7wi6+3tiztqMILREL27TXLjDneuvI9jG+gk5fDKrdyIRrFScVj1Xeo1m7m1BvZ0DQxFFsToKIFOh2ivx3CYPwHiPDajKDZPkhKcWqYAYkcpKobBKcfmsbUa9kxNesRRJBIu24ZKRW6SvR46jEg64oba68dUqzaXG+LmW6vakstoybns9WOGw4Qs0ySpJo4zqnM1kYjuDgijlN76PjNLU9RefhL7+l10mnHvtU1s26S5lgk4rPqSFVlkSOYgXislPy1nEFWmxzcqQ9wNMcQIpzC2KYe7cpObb7ZkaxIYHmcZv56WKXASASVuKEDMC0SamVqyTTeU0PlWG+b2ZL32lEg94zy38HAKNtbg7SfzvEYLblwUGajSsLAtTGN1IK9F/mBsCwjr1/NIirx/mVgy3lDEI6XmGJyauXzTjmVflzdh5d44qzG2cxYwBteQbRVZjENfvmvgC9g7f0u26Q8FiJq5S2m/mruoGgI2E0t+f2bIb40ciemYOoTL1+S3ZwquPi37Nb9DWbOYGuMMx0kmEMYy0+KcFvNEcTCx7CTbeJw1/Ga1CSZRTG44YnLzoVum0a6BNgQghS3JKkwqAlBQkLqapJZBM2ZmWnrCh51p+rHLMHYYRDbtThXrvsv0NU1qy/9Z46aJkQgaGi576JUV4qrBcFERV2W6EStUAsbAxO4prJF0GoeZi5+FpTQqzCwGkdxTMhNUpkkdA1WxGTxWo78ikRUqU6SJiWFoTCtFu4osUeiRJbEbuRuqPdDEvsHhJenRJ76Y3mSmsIbWQGOPNGmmMFKNShRRU+a5hxozgsoORC2L7sWEyn0LMph9OxEp65y4oGaenniYMEEzA3mt9Um1i5oJZlAd/StB49d/tj+gFcY2BXiEIyY3H7YVZjMeApBeiZk79YAz3KFHHZOUeba5zDVe5HW+5+DPAHh9+kWpXVyAeAmuNJ/nV/lx/vWv/QTMwhCff9T5Hwjaddm9HwN+8gw8BU996tUyf7Coa7zB4xJen98zaCAAsQBCRX4jQE1DoAQsngb+a7B/ustlrhHhckgLh4g6PRbYpkeddU6XsRvXBpcFYF5CQCzy3p7t4teGpIlJ/+qc7EteD9lv13l+5TWiBZerfBS24Le3P81LC1f4X/gH/OoLP06Ew5/98vfCLEQXXRJMltkkxMndTMmB4LhesWAPgYdrE/PXMaQ8anLzzW5aZzlwFIBoaJg0ufmwTfokUg5TtQ2WfMkqbDmSkqHQVM2M+WrEUnXA4lIHgM131sj6GckQ4r7J7m6Nrx20+N0HCs+EWMMf7vr5NjIeN1e4ZP0wU67JhQbMOmLUN0ohyhR7gct2aNON8mMVRuDZ475UlBH187IbQ45zBYe6nuZJ43EutxzmnJRUK8LYwjA0tpXiOxFRYtEJXYLU5DAy2QsVB2FG07H4hPE4AC3HwDVl2xo4CDXdSJNmhTGPYrmiSTRsDhWjFG72TVYqFb5voctX2zVSrfjddoxnGpytS4Zt3Y5JtUFaAPRJoKgKUxsAAcmyDGXfWMYudVmeU9QlfqtKKr5hFfRx6ek30gzDKGWhQRDQ6/VIkoRms4nWmkajgeu6nD59mtnZ2RJQ3b9/n3a7zezsLFEU0ev12NrawrIsZmZmaDabLC4ulqY2nufhui6maZaxGkEQYNs2zWYT0zS5efMmvu8zOztbmsoU+wiUoM1xnDLzsWBGi20WLqdFhEYBZgeDAXEcMxgMCMMQ3/dZWFig2WyW+5VlGcPhsJSWbm9vl2Y+RezGwsICjuOwtLSE4zjs7u6WAPj996U4KggCpqenyzrMQs56Eqt4XDp6koz4UaY134pIjEkm0fgGrymlECcrYDRK6ZgRcZIxM98Ax8KerWP4HuriJVheE6dSy0LdvgW7W7C0CuEIDg8ZvreDZRnMLlSx55tUzi1Avc7c1BTK9yUv0bLQ3bY4pQ4GUts3M4OyLOyvfo1a1cJYXhRG0chHHovXJIY4xnVNwkyTKtGlKwX9fox3MMBwD7HiWICiYUAUkQ0DkvaQLIxJ2kOCIKVWtWk91sKZb2D4nkR/aE3aHaBMg8rhgO76PmGU0d4dEUcpw2HC7GoDxzVZWa1jeDbh3V2slo97dpHh2/k1Fae4y1MCVB1HgG4Y5rSOIcCxTItV4x5YPsQltYnSMytzGcvzNXaI/BaMQRyVnn6DN1FD57LQ3MClVxNg1OyAToRRc0M4fVcMYwpAdX9Z2L3ZfQFOvbrUI1qJ1DQ2OwIKC1MbL5DtmKkwcwUYs2NZ1kxF3uoP5XtSc2w8Y0wAxsQWti9yxsYzSudRHaOxy6mVA+AiGmNQlfeDqnz2RwJgm22pVzQTAYJDX35fvyasY+RAd0ZA8agi6ziR1G46kbCp1QEsPoD3T8l+Bq6wmm4oxyu1ZDtHWMUCCBYdenWUGTqyzOQIbKHpyY9L9sHqmq+/TTKJ3+hFayiMWKNNsALQPfm3ihoKLIjrmszNqK11OT11iG9FOEbCHzebPOg2ODV1yCi2yfo2tW1FZkEwq4gbmmBek1UyzEaE68Z4ToxtZmRDj3jooEcm2JpKIxC7+dsNYt8gnYkJMhsnz9iwDenhJ6kBqSJzFEaYopKcMVUIuPMVmW2QJC6R5YiRTKwwQgNrqDBixIwm1MS+YjQv+5m6GkwNGsyh5CLaA4W3ozAjjduVKA1rpBgtiFx3sKTIHPD2DJKqIlhI8e/JCbYCTTSVkbmZSAYyhYrkItGoI/JRrY5eV5OvR5Ypztckq/hNv08VQNHmGwKKUDp94iGs4ms2u+3HeO6ZN6nR4yO8xTw7/B1+menfDsSpdAAv/NRrdF+2aXw+xpqH61zmt8LPQAtWf+Amz/Imn2n+Jmea6zx96i2W2WS+c4A9gLvMcZvzbLBGizbP8iY+I36On4FL8ApfFJYvl8EXr0EV+tSpLe7R35orjWewIL7a4MYnH6dFmx516vRwCGkzxQ7z3OI8bVrc4py4o16Cl5/8XZ7lTRbYwWdIgsk6Z3DdkBsvXeR3Vj8NW56Y8ex5vHHpZZ765Kt4iwe0fqLNLPv8Ht/HeW7xg/wm/zv/pezoPfg4X2KBHVq0GVFhj9kS/CW5DFUO/6Q0NSklqunEMpO1iibJGHBa6Tc9tqdwQtUYY1D1dTYDRaATLG3Qi1OskSJ0DBY9jWvAgptQtRKeXt2mcTbBqEiUxfLdEf37NvUzCfFQszf0udGzcE3NqZpi0U24WEtoORHztSF+JcTzEwxbM2g7dPoVuqGDZ6XMNfuYVsaVu0s0HYfT9S5EhvRvQCI0gCw2iDIT34Kh6hPjYGpx+TyMNHuRiTfyCFMT10wxlSZITQaJxUFkMsoMDiPFIIaWa3C+rlnyYqpmim1kaBSHkdQd7kUWN3sGoxR2+jFhatKNDc7XoWLBxaZJxdS8N3CZdiwu1ke82ZYkhX6S8FglpWYleJYY5AwTswSKIKARXdQjyo1pfOuRz0Yx4CUnO5/3LbxF8U0qmf1GweIkgJnMMux0OkxNTaGUotVq0Wq1ME0Tx3FQSnHmzBneeecdZmZmSnawXq8zPz/P+fPnmZubKw1finrBMAzp9/vEueV/IZd1XZd6vc7i4iKe53Hu3Dlc132oxrKonyziNApQGIZhCZqDICCOY2zbPsIK9vv9vG5M2NPl5WWmp6fLY1CAQdd1y2U9z2NhYYH5+Xnee++9MrOxcIUFuHbtGoZhsLKyQhRFeJ5XSmCBMvrieFbiJCNsmuYR5vG4RPVRMtOCgTzJJfWb0b4RVhHyf5gctzimsIueaxLvdHGWWiILmp2FuQVxIPMqUkd4+Wn0G6+iFlcECMUxznSVtdOz2M88gVp5DOoNAXrVmgCk0RA6BxDlQhKtIUlQFR+m51CPHXL6r1VQH3kevKrIT42JnmsUQhRhOhaOkrgPS0GQZjlxoUkHAVmcYNgWOsvQaYYOYuK2RHgYvsPUUgvn7Aos5GnrSsk+9fuYnodud9CZxqs6NE7XmV4JuXt9T+oYByH1c/MoV/Ra9758F9NSzJ6ZJgtiKp6F7RiohXnZdiYMI4Yh74vvK9gWEKMbQKWZAME8KgOt0HF2VFsxee5yRrioTTzKZP/lh8u+UbBYgI8izsKJJM6i0xTWTGlh1FptAXROLGzfmXWRl84cjNnBelcYtfO3YG5HAFkRvZEZAtL6OWiDsVzWDWXdxQfiVnrulkzLJgAj5PWTef6hVYDCVLZbgObg/yfv3WIsy+7zvt9a+3auderWVdU109Pdc2EPR7yMRMlDU6TpkIxsyHYCI05g5yGAYCFIgABK4DzkLfB7EtiIDcROjAjIQ2Q4AXSLYsmSYoYmJTKUJVP0aIZz40zfqru6qk6d676ttfLwX2ufXTVVMz3DIWXAq3BQ57LP3uvss8/e61vf9/++jmRBJnWLFUxku85va/0E9u/D5pHfB37dy64Ax9nAs4IeUO48hDef9pmNHe8KW8kbX35B+vjEPQGEnXwlgQXpg/OOqwHYhYF9mFeIrHfC1eeAopM+XyYzVazAclivvvwQ/MDNfcgTVfPZnEgl60xhMkU6gWLdd3RUcXU4JdU1w7gg0YZrTz3izus72PUxRR2hanE2za+AeXrB3uaEze6CWBk20iWV00zKLofLPnXV0sEa6KQVO4MZr+1mPOqk3Lpxn814RumiBjAClHWMqiQ70aaRZCFqRZRb1JpMt0e5RGLYVkairsSxVFmRiM7XodityTZyIiBWUFcRdR5TJ45oLl+k6UK+Iyzh6C0rktQclntOjEAcbLwix8riaoQuoe5oTKIwG17+ZmW5ZhILVqAwTEh4rVcDDANgVB5oXnKMBBnx6qBq3X7g9iGHZEGiGBjGJyXO4g/5cV7im0QYfpJvs/n1XPIOHwAF/I1XfoW/+/x/yi/E/5CTzQ5ThryQvcy1v/Sb/Nf8d/zUa9+F12RZ3kFA3VXgkzBmHRAp5oIuu/NDOt+Gv/LFX2P/L9zj3//qb8E9VrEPvo37I05YZ70/ZrZ9RcxrBkgcRi3M3D2uMmXAkBmlZ/TGbPAGz1CQscsDXrr1Tf4qv8zn+AYgAGzMBre5xjZHvMotDBFPPnGbTz7xxzz4zA7/8h99Hvbgntnnr45+mXXGGCL+4e/8Al8dwOdf+mc8YkuYzm2adZek3uBGjGtkl5+Vn2aE0qj0TE1jRO3ff/F3G8U1VaeAOGQItm4fQVPqw82WBYmixdFREf1E0Y/hINc82TUo5bjaXzB4okKlGj1IIFY8//GH/MEf7/PZ6/ep84jCaK5kjmcHlj+7d8jutSnJJqhYoUcJ1BY7tRQPoSh9+ZpTVEbT6db09mo+dnrKMO5z68VHMLwh469o9bnKIiI3EZmGjutRqIIEzdxUOBfjgGmtKWxKpoWpqx3kRnFcSiRIP3Y8sW75+NqM/XUx6NHKUVQx0zyjG8UcFRnWST3lc0PLM4OEbz2y9CLFrIbnhzWdSMDl7xzExDrm46OYpVEMkohOFHNtMAbAWCXlL0q3mEPpWzhlxUEJAThU4/NhkeHXZdcxccVfnZIal9QfYCj1kRyOH5ZdDPWK7Vuv12MwGDTmM0mSMB6P2d3dbQDc3t4ed+/e5bXXXmNzc5Ner9eAsOvXr9Ptik4rgLXAPgZGsSxLrLWsrUleUxRF7O7ucu3aNa5du3bGyTPUW4YaylDT+OjRoyb6IoC0fr/PcDgkTdMG0IX3AU3NY8h4tNZyenrKdDo941gaQHPIiLx582azbRDZ6ubmJl/72tfo9/u88sorDVj9whe+QKfTaUBxkMWez0hsA8KLMhLby7VlqT+qdj5r8XGb8mW6sVZiOqMVnWGHeLNPPOqiuh1hxw4fwFNPr+SUTz0Lb72O+6Nvo/auwnBIujdC37yOev4T0JdjBVOJpDRfwskR7vREshfzXNa1sSHLRRHqqRvw3MdRT78go2HlZ/lijwSUgqrC1YaNOOKgqtBKnE273QidxcTrPaLNkdQIJqv3ZaHfaYravgI7VwX4GgNHD3EnR83J1BlL1E2x3UTAprFcf34LV8l9gGitD1eucPh/v8qgEzP+wwOpta0Mn/niLYnMKEuhP8KJOhwTWkvtYmAOg+GNU4RK7Gby3j+vpLj03aY4P8T2YdlF5QQENjdvOjOYQW8uxi5JJSzi7gPv2IkAu7v7wgZuHsl71sciCb3+tpjVgAdrkTikTocCxPKOgD6rYc2X0kZW1n/tjtwcMhBXTli/0FcTy0B6NJE4jRB9EUBafy5y1LRY1SCG2kuQZdbHAhizUvpwOhJGte1Ympar162WusoQKwLCgG4ew9c+L3WLrzzvwWoGX/gX0p8AiquEM/EWoU9tprHtenr++wkg0Gl+pO181uLjv1GBFgmrjeR+3YOqD6brsJlDJ5b70yHDrZzaabDw4tYd7jzY4F+/tc/axgLXNVQjjb2a82NPHLCVzQEoTMzSJMzqjIfzAafzLnUR40oP7vpyfYi1Ze/KKb39ij+3/ToGTaQk+7CjQj6vyEGVEfln50GB0xoXKeqOmM/UPYcZWlxiV4XAykndIqASy2C05MbahEFSUNuIe7M1TmddlPaSdauwqcOkMhpSDk5vapkMCcx5z6LWS7pfT6j6muxVi3IQLy33vhATdWpsJZ5/1EpYTo/KHSu30zaFeKamsfl+VrLTj156+l7tXNbi47Z2zaI3nbmx9Ra3+B43eIsdHrDOmOOf7rD5T/JVTt//Dp/823/Mr//Ml/hz5mvciL7PZ/g2f43/k5/6je/CW365PjBCJKsvwpv7e9xnn0dsU5DySf5Ylivgi299iy8+/Bb8A6ROt0ZmeuTQJMIwZcjC9OCzwC8jUtQBcMOxzgnP8gYv8DJbHDFk6t9Xs0QYmnXGfIZvs/nVHB4icR+fhVd2sga0laRsccQWRxSklGR8+m/+Pgu6lB7w3eAtXuJb/MN/+gvwPPyL3/93pb/fh7/5P/499rnXgOKxl8W2DW3Oyk9XZjbnHU9XhjemYRp/VO181uLjNoUiUlKzmGgZl6ynsJ0a1lPDIDZ0kprZ3YTR8wZXi8lO9xN9dt5Y8uofbLK/PWE9K9nvJnx8Y8yTn54SbXgTy9LicoOdG/IHitlxxjxPWdYSy7HTkxkGFSueeOqU6/0x2U/t+GJ1LRPWiR9na0dhNLWDPT3iTXeXLl1ipRkkio52bKaGK1lBLzakUSBInCgngCw27GxOGT5ZoQcaasfirsIcayJf62GcohdZerGY4tQOfnJbU9lVneBGWrM/mPGLb6yxnib8vwfiYD81FT/3dMwgK8mrGNDkRhOHGneEXVTQSFGdUytzm0Z+6tlF/7xeibh+qO1PLToDaMBPYOycc0wmEwaDQVMnGILtd3Z2GvDinONTn/oU3/jGN5jP52xsbPD888+zv7/fZCGWZUlRFE20RngeYGtri+3t7UaqWZYlm5ubGGPOuLECZ0CftZa6rkmSpKlRDLmQ5+svA2AMjGi326XT6dDr9Zo6wvl8zmKxaPZDMLEJDOje3h7j8bjJjQzZi1/60pdYW1trXFmttU2d59bWFnEcN6xikLiej8G4LAojtPeKzfhRxmF80GZx1E6Bsb5eD2YnC9a3B7jKYOdL9OEhbrlEPXnDC70jcBb1uT+P+41fxr32PbhyhegzPwFPfwzGx8IihprGqsSVJZyegq9zZW8PtX8Nuj1IM1lu9wmRmqb+yuy8y0UsdQ/oCGcsVWVJkoh15zD+Vnogp7upnBS7Xeh0IElQUSTAcLAGvT4MRwLi6gomY9z0dMX6eTBajefYvKb7zC7lg1PKhxOq0jA5Lemc5uz+9edRm1uc1ga3lP3YS+SyFu3vCFANrGIcC3BsHwce/OHP485LUpWSrDRCrWKQqerzx9QP8aD4AZvVQAwlKxOWyZrUKJoYis4q2H7noQcvvq7vU38M3/icSDs3TsRgZv/uKguxTKWu0cQCmGaDVd3h1pHITTMPRssENk8EkCWBzPbsSAP6fKxEHcl7hlMBjjZagc+09PWXpdyPKwGiaSkAtpML0DPefGbuTW8C61fHPirEM6B7BwKUT0fyOGQvful3RV47GwJKtt1dynu3jmS71rOCUS2mJk0sBmfBonw4mrrE0BqA6d49oP9h1W58FE1ZueBHhcXGUmeXTJyv/wOda8w4ZVpE2E2RHSXaYJ3m3/nY9/jdf/kC08Ua0XpJ92NzPnHlgAfLIdMyY1klLMuE2miqKqKapyLdApKNnP3NCYO0oBeXzKqMm2vHlDZiGMngzDhFoqCn5XqpldRm6loiLsr1VOoJjUNXnohLnQCzzBAlVjLkIkuW1Kx1CtaynCvZjMLGlDbi0bLPbJnhfDGqMgJG47nIVvMdS3qqSSagK4kTSadw+sWCtcGSdNIDl6Cso+4JkK42atLIyjqda+IwVgeGl241T7UA5GqJFUC8iC38N/U8FZi7A4RZrOG1Nz7FC8+8zJIe99nnm7zEA3b4y/HvCiCSkEC+9Hd/j7/3C3+TN6JneYlv8rf5b9n8xRw+gdQX7sBkN2EaDRmzzqvc4gGiNPlzfI0f++6bwiAeAbvA7yDg0qsSiP22pKSNzBSUUcZ0PBSQ+FlEijoDHinKZzK2OCKlYJcHDWDssWBrfkznLYTlfM1vpw+8CG/vXGlqCqcMWdDjDZ5hzDp/hV/lD/hJ/pAXGZ+uk397k7effJ7/6tYn+eT8u5LDWPv9+Kz8/wJfY8iUwrOKXZZNHAbNR1s5nIYW+Mbzy8QXAMUfRs3iR9UMFhwsLKRRigMe5nAlg8oqplXMvcmAeZkwsidyTY/lt/fczyz4vV/e4uTOFfaHMz5/Zcz6Jx3VQ4eZllQLTbWIqCpNWWYcz3vMKxlrX1ufsH1tTjxU6J7GzKB7MxZVUtdfHMNYqiPj9cizhYWRiIu9aocKQ+0suZF6wp6Xn/aSim5akcRiMJR1DNmoJh4poq0UygRXWYpHjsUkxfhzVGk1lVMcVxG5UdwaFNzLUw5yTW7gUe54lMd8du8RGxsLHjqHK0cYZ1mLU4yzXO8vSGKD8XmvibYYG4l5jQqTWv485JTULrpQmiWMq7iZypI2nL/a18QfEnD8wNEZ581tLjO5uShK47JojQAMx+Mx+/v7jWtomqZNhuLp6SlpmjYgaDgc8uUvf5nvfOc7TKdTbt26dSbPsA3C4jhme3ub9fX1pg5SKdXEcmxvbzOZTJp8wos+e7uvQTYbYi2WyyUPHz6k2+02URydTqcBjt1ul263i7WW2WzWSE0DAA01j9PplPl8Tp7nzOfzRo47n885ODigqqpGXhtY0zt37jT1maE2M8hDAysYmMHzTqdtyWhbjnq+ZrF9O++IGvoSWhtchm23wWq7We/uZJ23BA70OivlUBtTOOezZfxssFOr2Zbzvw0D5KXh+DjnqWsD6pM5ZV6hOwnpXk2sFBw9XLFxzsFoG/XX/hPcN34bxmP4ic/CYARRArNTmJ6C8TOGSYK6ui9y1s0rIjNVSqSl+RyuPgUnhwIUL0JCbrUvjJHfSowiUpBFmvm8gvtTdta6pNcyqavs9QTYdnsCEHsDkbaOj+H0ZMVeWis1lKen1EdT6vEcM82ZT0uShxPSvXXqkwWHd2eUpaXfj4UpNIbKOd4qCq5lKf1+QtfGAlSjiKYeMYoEwDq3AqVah7mxBjCCP1aC2U0rRoMAHM87oipFpBVWu+YgUJrGxCXMuhkullS069kuusFZEHEmSkOvQJ6C1qDSf0/RKux+/544k443BGRViWdCRvI4gKDhFL78O/CdT0rkxq1XfZ6hXcVIBBAW1wIO18erOkjlBOSVKWxPBKQm1cVAqP2U8dmJsQHnpbHLHjy8IoAt9bWRnXxl3NNdyGvWA8HZcLU/rfJ1lAMBgvOe1FPO+ys57rwvNZlV4vMU7cr45s6TwrT2FiJdzQq54DWsYGAGI87kKIb7oUW2IavOSFHPG9uccUR1q76E1gai2i9vWf0/u2P9wMRZb95kOS+9/YN+KwAAIABJREFUPneiQpyCPWhprv5KGPj2UWUhKiydsWK2HxEvQI8FOJd1RKXg3mzEYKOgqlOs0zzVPeY/+rPf4pe/9ynKWcqnbt5nN5uQRTWH+YDTZQfjd1ocWzpbc64OpzzZH7OeLNDKMTcZ47LLj43u8/Zik35cotW7PnlTRwOgjMRZuEiJfDnTJAsHh2A6miJ1qMiRdSq0tvTSivXOkvVsSW0195drPFr0vbLAYa2iWiSoeUQ808RzRZR7E5yJply3xAtN98CiK0fVk9oeYzWqsvTfOmXxlNRb1h2Fyiq0lrgd1xxUZy8O4lDqT5X+V+O0AtM6nzQzFasTwLscUdVZGWuz7jDg063T/rtO/6FGsT53u8gh9YLF2vEZ5x00c0TO+c9h8J894g2e5Zu8xDZHnLAujNdLCBvXQZi/P4L/4r/8R7zyd67zMi/w2f/lXwkQmwPPQf4cLCJh9AZM+fP8PyJn/TYCEg2Sz7gP/AbwGaQm8iJ3z9aIs5p1ZRnPhLIHvALf5ae49tJttnlElwX73COlYPNeLv26jTCJnwQ+ITJuVUu+4Rs8y6vc4mVe4A2e4R2ucfDq0/zRLZHjvs4zHPz601Lf+XxOSkHZSUQK+3eAn0cMc27ALg9IKRqQl1GQNe6m0qJz0lTgzDKSv9iO0TBNvWLbEVXHBntOrntphMYlTqhKaTG2wa7+B5MbQLfYRYvBYbEI66idwaKJkHFZW7hqnGVe19yfOz6+EXNcau4aqctbGo1SjuVd6Pctrpbrv77a56d/bs6dX6k5mvW4+eklequLSgvMUUV+oqlrP4GVGJ68MmbwREWyn6GHKeg13LLCTirSjw0x9+aobnSh3MzZlSag9pOHiYqI0PR0zGlpeWumGSUp3ciQRIZetySKLGnfkG1YolGEM476QUl+GMyvFMZoxosuR3nGYZFyXEZMKsVJAQdZwpPdguOyy/dOLYURYxytLdYoSpXzHV7n47zIehYxSLr0k2MibQl50pGyRFo3klKt1JnsxQAY43NmN2GsrAHtZBx93hE1YHfTGifp1jlKK9VEaLyfE+olh935g9CduX9RVEb7cRtsBWBykcQxvB4ARXDxXF9f58GDBywWi0aKeeXKFWaz2RnjlgD4Pv/5z3P37l3+5E/+hOFwyLVr19ja2uLKlSsN8wc00tSQ31jXdVNDuFgsmM/nXLt27UzfgMbMBjgDfLTWpGnKYDBoWMMQ4RHY0W6327CMQWY7Go0YDAZUVcV4PObo6IiTkxOm0ynL5bIxxLHWcnR0xHA4ZDKZ0Ov1mEwmxHHcmPME9nSxWLC5uUlZlvR6vUvBXmgX1Sa+V3sv4Bj2x3tJkc/3ofXbPiM3tYDyJjcE4OjOjcNozaj4K3tYXRjsoeRHlMaaq3s9OjtrjN85YTav6HRiNowjfnIXd3qC2n1CQFeSojo9kY/+7H+Me/tl3P/3ddTGBjz3Y7D7JFy9AVZkmApQXprqnIMyF3lq1kVt7eGmJzAZwzOfWHU+gOoqFyYQUJHGWofWcgLIkpi1YUK/n5D1Esy8oLx9iD6aiINrr7diGaNIQOTWDow2BKgeHsDBAebBI6qjGWaSU+YV83mFqR353ROSrQGzkwX9fkJVFSSJhsUCl6YU1jKpLdPI8IntDmVpYTBYabXkC13VLAaDm9Yx0kRphGUvEsk31l2r+8qq5iSq1Or+2ePQT0yxeiusgGC435YvtoHiRWY31g8Cz5AQrYHj6qS8cvFcH4u5y6Lnawe11CDOBiI5zQqpCcwKAaCf/7pIUv/keRjO4NptYdeuHK5knLCSpjq1qnPMfBTGoi+A7No7rb4H1jNZxVsEgKWt3NJSJLNdH4VRZBJbMRkJO9pdrljGqBZANjqV16pUwPHRtrCn06HULRaZAEYbwdGWgOLJmoDByZoA37zjGVHvBrvow+b3pK+9OU2UAZwFeuFLOG9i03zHZ/SCrePjMuAYLsQBQLbf5M6+/wybaS34qJczMRgBJIYojXC/LUe1foXB9AlWUm1HEx2DApso5jsR5Qi6Dx3xQmr8lFVUW47TeZdyFLOZLujqko1kTqIMf+tTv80/P77F771xk96g4Mf37vDxtQM+NbpL5SIqJ0O+ncQHZKOYmg5LkzCMcz7WO+BuscHhcsDHd15vul45cRid2g6ln8loJlK0wkWOOtWUA03dU5gO6AKyRxFm2mExSHGZZZYZjpIBOrJEkWV7OGe7N2dZJzycDCiOu8TjiGQmIDEqIF44tIHsGOqBZ1t7imwioKAuYqrEoIsatSxIphUntxJ0pUi6lQDzcBA1v3kfrxReC/LT1vHX/N7PtcYIJwDEFmh0rf9OqdVwrnUeCa/5PcsKCLblpgEkBqBY8S4p6mVAMeYsKIvxgfQ5n+n/AV999S/CK3Dw5NMUn0n5Cr/Dm/t7PN0/EHbuFAF8BTz/+bd5/uff5qs//2d4gZe58g9m8FvQ+VXY65zS4KG3/P8I2ELkqQ+BrwMf97e/3+pTeN8WwgICKYWEz3ZYAcUXQT8/Z3/3Hg/Y4bf5Ct/hk7zAy+xzn939B2ztH9FjQZcF1185hO+C2oS7L27yNb7AN3mJl3mB21zjwekO+SubMIOv3fgCL2Qv89obnxIw+PswWJ9yn33Wo7Ewskzgu2ts/k93GT9a5wbfb8CefFxzRkYaDG7OR2mEZc0ZyBV2WQsothxRo9hgYyej+4uyFdv3W6/70VLrvpyvghuqcwZULMDQWaJW/aLFIAl7AigFKFr/jGu+Yo2ioyOeXou52rG8PtWMS0s/0RgX88zQMjvO6JUlej1FZTFq2IVYc+0/T7n6B7d5/asDNkYLtn7CkTw7ZP15DbWVG6A2/FjKOliWuLxG9VPipzZxh1OqQ0PnpfXVfvC51CwLYRyJiJQ4lEZaEVnFMIrZ7ESsp4pBDPMa3px3eZBn7ExLhkklLOODijiyxLFhbTencwXs0nF6P+POyRp3l10eFjGTSjGvYVw6agtvLyKuZJqHuZjiPFw6sgjmeUqW1izUhLw+4Sg65fP9PrlRrPWKhh2EMB+1isQQIOgjQuCM8Y265MKn/XnovCOq8uvXfizVTvFpD8tCbaq+6KJ6yWH4rtYGgrKBi1d2frkP2oIBzcOHD3n06BG1H0gH9iwYwhRF0Ug7lVKN7PP69etcvXqVo6OjRrYZwFlYPoTTAwwGA4bDIc65M9mHvV6PYDjjnKPb7ZIkyRlH1NBC7mKn02FtbY31dTmQO50Ow+GQwWBAv99vYjHCtgNjeHJywnw+b9jEwCiGGsuiKNBa884777C3t9cwpYE1DCxr2EeTyYQnnniCbrdLnrenp36w1gZ5F92/6Pae37W/Qq+cny5bTsDJh7XLsUBeWe4fLHjwcEldh4kLR31vylPjMWp3F5ZzibTQkUw5JwLC1LMvoq59DHd4Fw7vCQsZx1Jv6DMSXb5YfYDhFmq0LezD7BQeHcBwhBqMZL11IYPKdA3izEtfHa5eHVNJpElTTbcb093oku7JMRUNMtT6OoxGqLWRsIpp5usGrUhPjx7C4SFMJg2bWI8XLJc1VW3Jc0OeG6JYob97h9GNLczpEmsEqKI1qtPFAaVz1M5xOinZvrmJGgxxi/mH/CYuaIGhBDEc8iyjUvJ4BRQfz+CmDQThLBB8r+U+aLNKQM/DHXi0LYwZzrNnO8I2bp7IMrGvb1ROWD1tpU7x6n0BV+MNYeRCHWRcC1AL4fQgYG04lU++6Alo6y2k9lE5MalxCrolJMHoRq1qD0HWGeIz1ny0B8jj4QQGc6lh7M0F3IYA9cAYnmzI/cAmzn09Ze3dS4uObPedp0SOuuitgKqywmBa36c6hslQjG66S1nPR9XaIK+571oXzQtA5Ht/2X4iJDgIXOYREa55H7am20GUO/oPDb1HCl07ARtWoR/CYi+CDZiUHbpRRawMEY6hzklUzV/a/g4/vfE6/3r+BG9Mtrk92yDVMnveiSpSbTituuKeBzzZPeFmdohBc79c543ZNludOVeTMVo5FlbYy91kSc+VxNr78bXUcjZW2ERAYjWEciTrNpnDDgzRoKLXK1jrFHSTikgJI3u87PFo2mc57qAWEYlnE5OF7ANdQ1w4osJhI03/jma5C/EyAFVAO7KkllkKY9C1JZk6FlcVvU7JsviQbqIXfTWr09SFoLH9+P0Nbqpz/y/rZ0B+l8yIvF+rEWbxlzp8tfMXhTGLgRxeG3+al7/8Ap/j68ICniLy0BqRjBbAfw9f/N++BV8GvoiwkHN/8xmJ7Le6+V0kIzECngN+GmH/XvPLjPz231ptr46ipvYQENnsNnCj4oXdl/kM3wZgn/u8wMvc4lWe4XU2X/Murj570n0c3nn+Ct/iJV7n2YZNfJ1nOXz7KowT2Rd34HSwx//60s/xM8/8Km9xg9fyT5N2SlJKtosj/3kmMF7j+NtP8PmX/hnXitvcy1ohlD9gW2UvcpZhjI2Y3MS1jC8e2+DGG+F5RYC6hB1ynkZ3GD5MPazFMTc1b07g7ZmiNBVKyXzwm0bxY2sZ+4CZWlTHQKTlut7NII6IP/cMtz69xL5VUH5/ibtToVLQiUJ1FCrRqGnZjKX07gC9twHW4o6n1O/MiLc0anMoyxQl5A42OpClqEiYwKp1YU+1Jos0w0SxnTn2O7Lf15KaK52Czd6SteGS7npN1HUob8GQH2kmD1IOToYcFys28bgUA5vCwLxyLGpLrCP+cJzxsaFlXGmM1URKJLFZp8ZiqF1JoZYc5o6Pj6A/KFjM0w/8HVzWdGu6oA0SA2hs5uPxoBF4r7HUe7X3BYsXyUYvWq4NGC96z+PUuRVF0QDBIPMsy5J79+5x/fp1QAxbgsSzLYvMsozt7W2Gw2HD0IXXgXctH2ohq6rCGNPEUgRAGNjQULMY5LC9Xo/lckld12itz5jyhMiMkJdY13WzjcBUhiiLOI5JkqSR2oaYjWBkE/ronOPmzZvs7Ow08Ryld98M2wmS2iRJms/9URvSXGSSE9oHqWkMLE34/17LBQYyLHv+E6nHuJgWtcyYiVmRgMWiNCxfPaB365YsVObCLgZ5pQdydPqonWuwtombTyCAwwAsBd00oM09uicS1LIQuereM5B15X7paLROiZwsXCnxE/1+wnxRU9cWraWf8ahHvDFYRWbE4lbqqhK1nEufw+SFMeLgmiSQpuhugq4ymX3Pa0y9UgE8epRjjeOpF6/D9R0Wp6+gs6SpvQz5PUpBnht0luCWCxrZ3UfYmhpG3T6mnO+HwgQW0S9yWXXHRVEKly3XBowNO9Du02P0u0iFfVPOyzy1AKd7+wIIQVjBTi5ASjn575QwjdtHwi4Ghi6wX0Eu2cgoFZysCyCrEgFcuwcCwEwsnbWR9DmuVttVTkDlsisATRsBjb2FMIwhMiPkJda+7rJqST6N/0yxB5tpKeC0KqXPwcjGKTjZlH1w8y3YeSDsamAUYbUdZeW5pJLtKT48cL+snTfBaR8PZ46N9wGMznnLgfczbwsya88wqiA7bbfH+IxR4XCRMI8ukn0VlY7egab2gpd5nbLpWcVIWVJlMGi2ohmf6t/myeyEh9WwAYexlhodjRjWJMpgnOblxT7jqsuiTiltzGc23mE9WpC7hJnrIPP0jr6vWayqGBTUPUW9lNpF58156i7UfYuLPcsayYFb1xGLMqGo46bmx1hNVcao2OESJ+6qmcPUCl0olHHN99I9tiirmV13FFcc8SzCJuAKj9ojOVE5pYgLh00UeZn4GfOP9qA6c345932+m0W87OsOTGKgAy9rIXex9bbzcs7HKR46oImjaOIrDuD/4D/g5/mfZZlNhF0s8HUbfvl7wG8hQPAmK3AYgGXdWj5CQOW+X18f+CeI2+rAvx5MbnzN4ph1IgxXbr3D4etPCaDtQDJYcoPvc4vvMWRKRkGPBYaIKUN6+znZ1qqmu+wkHLHNkCnrnLDNI6YMGLPOYbwDs2TV338Kh/lTfO6Lf5+/wG/yt278D6xH46b2Ugx/Kvn8d2D9pTEPsp0mBuOjbG2gCBBFrSvbRSziJS1IT5vyk8uWo80witz0PLB8HBniwtTEVqMUZEpjnGNRw7+edPj0nt/W0qBH2WosFUUyoBj20M/s0tlZ4E4WWA8OVdxGNQoVi2LJfv8QNy2xS4MrHcknNqHfgaqGpR9LaQWZXGTKIkYDoxQmlaYwUtITK9hILNtZSaYtkXbE2mIdVFVENHOo3OK8JNYaRV4kpJGhExl6kaWIFbnVzGtF7UtqrIM78wrjEv7MZsGz2nJU9OlEMC99HSUJzhm008wrR1c78kXi2cL33d0fqIXxsfaqivY5qE3IaPXe4+73au952gmgw1rbuILCWSYx1MK1H4f3PA7QbLd2rV1b1np8fNxIM9uRFu36uyALDbmNAUDVdd301xjTsI1he2maMhqN6HQ6zTrbICyAt+B6GuoPp9NpY6QT+hXqE/v9PoPBgCRJGrMZay1JkjRs5nw+b0xwwvN5npPnOc65xkRHKcV4POb69evs7e01QHK5XDZ9jOMYYwz9fv/M93PRd9l+fNlrlx0L7/fcexnkNNJV5IdWIyH0oVnvThe02OHAbGcvKqUwzkuKHnM8oAgsqD8+rULHcHI4pzedSs2faUVaBEmljuSWdWWEHCfyS/MGN82IMDiDJivTGrIubO6geoPVMh7sKaVwdQXWoLSGfo9o1KU/rzidlOS5oSy9S6kxsLYG/T5qbQ1Gm94VNV3VWSYpOIsaTGBygssydJKQZhMwlnRekBcGa52wlp1YfhuHE9Lnb7J2c1u25RxuNsV5KUOiFMZY4nU/A3zR8XEeQHppqozX3psNlOXfjQDbJzal5XHdkk7o8J36E2JgjZwS8NK+7p6XngYnz7Y01Xq8/y554nt1u8VONQNEC8ebK2mmNZxxDlWe+dNOwF4dr5jHMpXHob9GC8CK/SBRGwFro1MBoGGdUb0ayAYH1BDD0V1Iaet0KMCszFZy16wQZq8/F/CYVLIt6/dh4te7WAiTGExwkkpAQt4RR1OnVyY6ysF4BNffEYYxAMlld9XH2Eg/+56kvujoCPu0/fiy1y5qF718IUhUq+/SOvn+lG4xj0qt6nHj1mXSA8OmbjEM0oIU1Rd4KmVxWvO4R5XEf8h5LfTBasiOHfNlgrGa2mpif1CVLkYjgDFRhvVowcJmZLpG45jWGblJGgVHeG8nWrmgDpOCm/0jtuNZs85MV1gn7n+5SaitlhqcjhNg2IV0KuBWl06k41bhUkPUNXR7BRu9Jd24IotraquxTtGJaiyK406P02WHZZpiogSXRCgrMlTnJdsmUdRD2RfJRFE8WbPcjYT1drDIU3AyWHSxRhlxY024ZD7r3KnoDKB7jNPUxQfV2fU55UsgwmvNLcxcxKxYxWFrReG5gGp6rcfJ6m4Aco/b2uxUWHUHXvuDT/P9z9zk6exAAFJIe8ha2ykQsLeGMIk14oIaWMKwfMu0hgKRon4TAaBhmXmrD315LqNkn3vc5C0On31Kah/vQHWwRrmVUpKyywOucZtneIMrr8yE+TyVz9CJ5H4nrviJ5/6Ew+duexOcGeuMKcm4t73P6Z09+TzbwE9KP/6QF/k5fpG//MSvNXEWt7NrHpAnwnLO4FlEln1R3MV5ANk2rQlVie/VLnJDjeNzgLEtL44vvonDqcW6Gq1WbJXDgKOpW9QqmDaK3FQpqWk0qvJVio/XtB9HNT4TToLq7yxgsuiwaZa42kHsz4m1B3RRBHEkYK8oIZXaQzevMbltisRd7VCxsI0AKlLofox+soNa663WmcS+BECLgZ9x6MgyTCrW05TTUnFohP1bGk3tFMYp+knFsFOwNszpb5VEXdCZwtWArdEdhbPQOZ4xP0nozmqyyNIpUozLmHoZqnGOTqzYThI0cD9P+fHNU24NO9RO4VDMZxmOBUpFZHSonbixwtk68NDUuYubYiVBDR4N79UuGm6dGUv5c14AqUF2qpR4SCg06n2sxB+LWQz3L6pLfF/ZYaum7YO28J4gUd3f32/qGOu6bgBIFEUNYAyyz1BDuFwuG/Yw5DS2DWgCWAt9rKrqTJRHAGdB+tnv95lMJgCNG2nY/mAwoNPpNMuF+2Ef1HVNnucNmI2iiCzLqOu6qW+cz+eNFDa4wgZAure3x3w+J0kSZrPZmX3QZmU/aJTJ+RrE848/ytZmFMXIpq20l/Z+Mx+uuX1wqY4cw4o8r3G376BuPANdn4FYeYdPoyBKBMxpjRuMUGkHugORni4mwuzVNWS+6DpKhJ3UAhxV0lkxlHUh96NE/luzkrllGfGoR3Iox9KkqOEoJ4qOGSUR6WgkdYqdLqytS8Zj2qXJbDQ1zCcyoNVSw0i3C1VFNMyJuylqVqG1oigsOzspprbYeQHWkt68iptMJU7k9JTKOQ/IFHluUEm0AoUf4JhCeyMbt4rQaIxtPqQM4tLvtMUktYHgpazSBc36yc0P07NQx1Rk8HBX5KihjrFOQJWegPaMnsbLPqtVDeGyK8ydiSH1IDKyKwOauBIQFxjHKl7FeERmBc6UB6P9BUy8Y+rMz1lERoDnYCrrTUsBbuG+9QPeOhLzmshLSSMjNY21B5lZIdJUZaWmcTATprFMpR97B/J6UotJTh2vAFCRrUDy+zHB59uZGsQWqAqmlx9lO3/tU67lfNR06H02alcTER+8A/4YKEA/TJnvpAzTnNpqFjZFK0tETEdXJKomUTX7yQmDKGc7mXJS9Tksh8zrlNJGxIlF48iims1kTqwtPV0yjETOapD1JsqQ6YqOqqhcJFbuClxiqXsaO5FRSTqV64KLJEKj6CvSrKKT1Gx3Z2ykS4ZJTm0jYm0obcyjok8SGTFi0BabGaxR1B1FnCmYC2iOSkc1EBCoC9mPxW4tOYyJpZynqGrWzB7FhRM2Vsm5/cxswPvtZuUHakqtTnEXnD9+8NZmFNtmNpcVp12yiouYxsfdvJeo/sZnfpYv7fyeMIgZAgLD63ME+BWIlPQYAX/7CMsY6g6L1vKBnTxlJWeN/XpzWcbNQXmmM8KwxRE3+D5/uP3jVKyJlBX4rcHP0r2+4GO8ylXusX08gz/x2wgRGYXvw01Zd2YKetGCXR4wZcA1brOTPeA03hNAfACdF4/JZz0esktJyr/Hr/I6z7LOCa9yS9hNkoZZ7LL0dYfxheDusnamFrEVpREyGT/K1jCLAMHQhtZzwPtFZliMv9kPzJ+G+bF5ZXntdI1r8zHREKlDLKoVY5gkAhbjCDbXUN2MaJTjpkv0SY5d1LjKoiOZHVapFnYy1pAlqF4q77VOwGYUQRrLer2hjlLQiw0bieXAE1uPqhzmHRIdk+iUrayg3y1JuzXptkaPEnRf4sRUpMUt/6REJ0YYyMjQSyoKoxklMcex5qSUCJFlbdkaKCoL81pjrOLW2oLjIiWLa07mXUruNiBsXlkSbVHagVFngNz7Na2cHzerhtUMdY4/Si/dx6pZPP/cBwUjbbaxHXT/Xq3NZsZxzMnJCWVZNkymtbaRhgIN8AtGNiHoPk3TBmy1MxOjKGrAVqgRDMDNOdfISgPQDCAqrCMAP601Dx48OPP+nZ2dJsPROYcx5oyDaXBhDY9D/9usp3OO+XzO7u4ucRwzm82aHMeQnRhuYX9lWXbp9/Ze7by09HHrDz9Ma8xtWtfzthvqY60D0Wo7p96TaTjf/bBblIIk1hT3x3TzpQduEc4aVFlA5o9Rzy6qtCsTvnUFxQKmXVyxFLObKGQfalQc4ypBBq5YQj5H9Qa4skBFMawNIYq9hLTGeRZTxXJMVZUlt5aorLl/sKAoD7jaSYiqCvfkk6jNK6sPYmrpX1U2uY8uXwqA9RmbKtKoRJPEyntyOObziq0n1lBpLNEfwyFqY12iMKKIWClxigWsdSj/e+IDThoo5e0elABEpdxKcvoRn+EuOgYuAozv2QLI1Cvfkos3dvahVb6czQk7d7IhLJ6b0xjNVKkARhCwFhvoBq+jWIBiOliBrXZmYmQFvCnEGKZIZX6iTqSvg6lsN8hUg4toYFjrWFhAbeHBjn9/Ke/feSiuq+FjmRh0Jf9DTWKZruoNQ/9DjWXYZ/Me7D6UzzUbQH8mbGMVC5DT51jWrLj8e3vPryj8fn2HH7v+8MO0NoMYVDWBgnzMYZUK10opLLp8IuL8fmhNfNgY0rFmWcVYp4i1pXIRM9MhimSndlRFR1fsxULzTG2Hg2SdO/Emp3WXykVkWg6qSFkyVbOwKZGynJoux3Wf7WTKzHTIdMX19BE9XXiDmxjrnZ+8Xw66hig3JN70Rpcam8YsTQ+2oRzEfncpChsTa8PSJOQmYVklFGWMtbqRfqE9G9+aVIgXjuWOEqfLeYzrGczAQKVBO1yQuYHIgIOj/gc+qFb7Wl1w/6NrVet+2+TmA+QqXmRyc1E7P6prM1Tr8E1eotrxEXUFAsC2aM7L1RwmM5jck8e7fejdRMDaDgLAZn6dIT9xzW9nFwGWtxFZ6hz4LhyfwpaXqRakRNR08QGyY6S2sAP8UsKv/Pm/wfZLR8wY8jObv8n1/uGq/wGojmhyHx9EuyzoMfWMbUpBjyWsO6gV1JC/ssmnX/p9hkx5lVs8w+u8wMuM2ZBcxgEyQwaQixOqfLwPBqHE6CY9E5dhfmjZivZdc7jBCVWpx+u38+Y2VnkDnEs+7/mfg69kRitII8WdZUq10KRWmEVXG9SybH6jJAkuTWB9JI+XOepkguqfoua5gL40nGA0KolwHnC6eQHTJWrUwy1KGbuMBrhOiloWuFKclRWO2F8MSuuYsSSuNPXEsahjelGf0kbc4IReKRchZx2UFrpaMh9zS7XQLJcJtYkovQFApByJdqR6xaqOS8czQ0i141HeYTMruNLJKeqYSFliMiIlP0bjHH0vFfqg56iwtPb7XSa15XryI4ypfjw31OBoCpzfeU3YAAAgAElEQVRhm9py0fO38wxXm2Fss1eXAc8gSQ3vDYYwm5ubjbEL0NQOBslnAF0BHMZxTFEUzfaDE2pd1yx9nVa322U0GjWALo5jOp1OUzdpjGnknoGJDPmJW1tbRFHEfD7nwYMHZ+r6tra2yLKMOI6b+sV2XWJVVY30NDwXMhhDpEZRFHS73Ybpq6qqAYW7u7s8ePCgyWfsdDoNmA37uQ3QQ+5i26gntMukqOedTkM/QoRIe7n2cXH+GGrXtQYjwNrJCSdWPhvR2/kK4/juW9Blh9PZ6rkAHGV9Pj3rzIk0SFFVCwgtDiZ0JmPU7r4wdXUlg5OqbBhCdOzrGEViSRTL8/ncy1c9+KtLAYozP/oerMHGrlALdQVxKuykjj3Yk2PKJQk6jUjTiDhWpFpxZb1DHCmmk5L1tw7pGEesxaJC7T3psxxTAYnLuWRA1uLSSlmKs+ligauM2EEbh6nlwjKdlKxvVkSjnuycKJL3eFC4n8rApXZSDk+vJyBYvkjZB8asLgLONbEb76JQLpGiqijoPpXY1qsVuGxr+VeTFuF7W73oWn+wAoah5q4dudCWi56/qfA/gJnAMCoal9QzLFi7G24lSQXZ3sm6gKfNY3kc4hrqGHS6knxqzwraIDmthHWz/lCrYgF0dQxLbwTTzWE0pomBiGthBUP2o/FAMTYrJjLysRlbR3J/PhAX1wAqQV7LCnlPHUs/mrrESIBo3pGbif3nivzrStZZjEX6Gpi+KoLMD1J3H4iqrY6kj518BWadWcljdXhO+YiMC1Scl0lRtW19Ry3G0XB2+SA7vahmsX1cyBfqpDbOSPWsilhNdAS2/YJbqFt04TcSrFiD3W5zHPkTlDvbh7ZZirKQjWG26MBI5KS5SkDDwmYkxrCuF/RVSaIsHWWoXERHVfR0yTF9KheROMPMZCxNytIkHBci69rMFjzTPyTCkduEni7Ziab0VYl1In1VykFscRFSZxiBTTXL7RgbQTpzdB4K4lvS402g2IgZJjmdqGZpEiZVh2mZURmNtQpbaSg0OtciAbby/Ssj+yedOcp1hem2vsxaQyo/1Hy/RwdQtUMZcJlpwLNz4CLlHWdlvzvlxHTDS1nPHlQXPAeSGxnY5DbjyLnl26+9C/i71rKBTVy+e2ON7rDNOPrC5JaMFLg4RiO+4D/nVgWQwzePXuKNres8z9sCFL1DKWvyOg/h2EgvJ4gKohcMbvaR9+QIwFxDQNvTfh1vIlLUIDs9hck7sr6tWN4bYxgylVrDrTGHgzWRiv5lBLT9EfxfL/0sBRkRhi//zG9zfXQoTOip396+3Ko+lKSMWece+9xjnyU9SlKYKQG1tazz6KUtbvCWj8EoGbPOLg+l338d+KU1WT6Hfe4J4EQAY0FKQUpK6Z+LySh9uedZgHWZE2qI1AhGN2ecVevW8uclp+32rskCGQVZV/sJzhjrX1TOR2n4+Awp5jE4dFO3qPxEhQuvqQjrrHfGjBr11pnDXeEljPLYWLi7UExPO/RZCvCranlnUQpD2O9KCU3sx1W1EXYwS2Dq3xNr3KKCwmBzQ30inyPeiNHX1mQsVdXQSXCjoazPOpGvKkcaG5GNRiKP7ZLxVL9LrOE4t7w2S7zLqAPGbBQ50bBCZRqVG8y0xkwdtpJzVF7FzMqEaR1TWYVxUtdfW9lbx7nlajdiPbFo5Yi0I68i+on0+zn3MV6LoXIVtROZbBSvzlGJFXlsrDVYDyJV+D7Pfu2XSVEjf0rTfoweHFGNOzuW0ipEa1xAoiD5AsEo6bL22Lz4ZTLUH0UL8tBg3hLAWwAo4dY2p8nznOl0ymKxYLlcNqYyYT1lWZLnOVmWsbGxwXA4bNYfHFQDqIRVFmRgKeM4ZjgcsrGxQa/X4/79+xwcHFCWZcN4WmtJ07SRxgbWMkhbg7FNAHuBNW27r47HY0ajUSOVDbc8z5sMxrIsybKsiRMJywSwG8x2LgL8Yf9e1B7XKOeiWsXHaYFR/CCs4kfVpMDZirGL9oAugCdrzt5AQFKVw+kj3PxUpJ/5UkBbUQhoy3NYzATMXdlHrW8LE6n0ynHV1gIqQZjFPMcuK6x1xLFmlMZsb3VI1jq4t0+5f2/GVl4zKCpSpXDWojpdAaNptqqftB6slSWUJa6sfeaRI9IKHSmoBTiePFqye2UofQ9F6FrDYsHWKGN6bCmsJYu1RHToCBU5nLUi/bBS40hVtdG4v4ro1esXNPWYMtT2Keb93FDb7TIZ6o+iOSUsYjCtMRpUDLpcASIbrdxKbSQAbDoUF9Fl15vKVKv1lKkskxWSZTicCTuoPJMZWQF4YaxhtH+fB55xLSzfxokY3Ny/Cge7wlIGMxyrRIbaWwjArGPZ29bvxypZxXiYiKb+M7CFJhJ319FEwHB4TVvp+8ZYAGXpWc0s9+BAeabV4yXnx8VnAL86u38vao9TyxiWC01bmnzL921NfaJ6XFLxI2vKga4cdSkZg4UVg4TEg8LKReQuIXeCEiqnOTRrvFle4aAYcVgOmFUZnahmUadMq4xFlTAvUnppxbPDQ25mh4xNj0hZerqgoyrmLmVhpQ7KGA1FhK4ACzZWlGsR+Yai7kH/PvQeWKJSGNCl6nLbKrK0ZugdUYtamFHr9dKu0qhKo2uFCrJkLTcAbRzZiaMaKlwSZmWQ/0XEcjMimaXowmAyhc5E3uq0Q2tPyTtfH1TjmV0/dlFhOpHLTyuPe8pRl9x/z9YGhB+de+tjtRqqR2s82Nrl+fptAXQGYet8jEXShzVfi9gFdq8BLyJup08j7OIpq2zFXTi+1pEcxK8iktIdv94JTArYjBCQBywQOegR25RFKnWCPwmjrxxwI/s+/6r+LAf/+Gn+8Ve2GW+JGc7nXvoGu+YBa29WIo0dARGUHU1NxJh1xqwzZcCCHjXRKpYDYAZ3vv4cn/zpP2adE1IKMkpSCu6zD19BDH0OgD3Y4SGZKTBRREnJkKmHeDFThhTIbyMwh6vde/EJ4jIA+a72AVTJZ5tIUHlXUc8PvznEJXRRJKCXuMrIxEwU0cRjVBWUnl2vl6jJFA6OcUcz7EmOnRtUpnFLQz111HNFMYtJ+4bkRora24C5H6tlqYxDikLYRwRsz8uERa0xDpl0j3vs9xTrqePVU83rE8uijslNX+IpjKbbreiMxBHVFIBVWKNEFVFHLE1EYTWVledi5dOULFTWcW/h2O0oOpEh0pZIOSJtmZUpT3QzjhZ7LPSMno7ppRWRXp2jkthgQ5kOEcY5tFMNeygRG6vkgPPtsiiN860NNH+QYfZHK6L+IbXAwgVTlwC22jmOQZoZYiNCHMVsNmM+n58BMYGB3NjYYHt7m9Fo1BjMhOacoyiK5jljTAPsQAawvV6PTqdDlmVorbl9+zYnJyccHx9zdHTE3t4em5ubXLlyhbW1tTOgNtRdhvvtzxRYyCRJODk5YXd3F1hJbZMkaRjIyksOB4NBk+cYlm2Dz/OxF+3/H7Vz6r/pTQgyR1VbmM9X4MYzfk5plDXiPKq0gETAzcY+P/FYMhRD/SEIGIwi2LmK2ntKWEXnYDE9u+GqgKV/rq6hKLDl6pjq9xPifobuZUSx4s2HSw4nJdtHOXt3T+g9/YD46hY88QRqY5vGoKeu5H9V4eoaZ8QkxzmHsY6qcixrQ6oUR8c52zN/rEeRnHizDIwY4ZROfidrw3SV5+ic1xN6cBlF0v+A6nSrOCtkL/7b1DwTGWSlwXDHefZQsXo9gCjwcRQ+7H7eP8uIxh54bRyLg+roVC7M7cgJpwQchudM7FlJf2YPzqidXACnNnD7aXEwPd6SGI+9A2FCrzyUeI0AbAOLWMcrljHURobnC5+leLIhDCL4Gkvvomo8m1j5/gxmwnRGVvaZ1sIuam/OE0xmYEVMq9Zn/bepKU+1q1phlx5sIYOWykVEzlK5mKntkirDoRPgcbvc4m6xwb3liMPlgFhbaifXiSyqiZXl+toJnxre5VbnPgbFYb0yXTEojs2Ao1KKXa3RqFqh6jAxBFVPYzpgUzku1l/LqY4SOscRi+OE5W7MZMNQbMVsDBcYK3U9wfCGWmoSm9lC5ycQake8tNhU0TmxLHZ96Yh2uNiiEwm8VlajSm/2M9BEiQzWHKC1Vyxp/77g7uD7HlCiQ/3IJ5T+VFswsBnDba5B/C0ZAUasDG4yYBN2cpGfAqvsxE/4/0G6CkI9FrD51Rx+A/h9ZJ3XVptNgK391XMLuh7Y+WMuBp6H/eyeyD8HwH8D1T9d49e/8h/ytb/2Bf5K9mt8Lvo6X3nud3ju9h3IoMpgkfUoyZgyZIHcD8Y14bPyfYS5/G2499MShZF5ALjOWGI8cuCR7/CLsM0j0ryi7gufaIjIKMgoWNBtRWCsMhZlF/+IZ5P+lJt1wrQVFqZFRmNjb/1Yqlao2sDCl+JM/NjncIw7nGIeLqkOjUyqeic7nSmS2NG9bok/tg1PXpH1nbbiu6xFTefYU2F/a6PJTUTpZxe1UqxnEcPE0Y8csVb80fwet5fr3Jn3eHsx4tasz7XekuvLU0bbS6xROKOoa421msJEjTmO8WUEtYPSOGZ1RUfH3F1Ynl3z7qfKkUWGTlxTGwGtuRKp9VYnoptW6MgROYu1AhIFYArAF+GD82o5ufhdBhT/NNqPHCxeFq3xfoAlOIC2ZZUBbLVrGMPz8/mcyWRCWZZnTGCC6U0URYxGIwaDAVEUnakjBFgul0wmk8YgJ7wvz3OKQvTOob4wRFkEJrKqKg4PD6mqirIsG3ObAFIDyGvnJIaIjcA+tk1rAvDs9/tNZmMw8el2u1hr2dnZodPpnNmnAYCe34+XPT5vcvO4LPJ5AB/+/7Ba2yQHaKIezh9BbQOciz6LNU4sH61ZgZ66BFPJ6NVZXOlBVVXiZidwcgjFcsVCLhdym00EMG7twtoWSke4qpDaRSPHpSuXMD6E+VRYyeUSO1tgZjl5LhecNPU1qH7GrHQO4xxlaXnwcMFGeZ+1vCSNIlxVraI16lpYRWNEfloazKLAFhV15U2agNw5Iuc4PZjRfWYBo5EARaUgy+h2Y3qnERbHlf0hqj/gjC33Razh+cet7155TWcwucG4x6KRQ43l/8/em8dIkt35fZ/34sjIqyrr7O7qrunu6WlOzwxneI13uDyWhMQ1gbWkFWFCMiTLhgBBPiRA8H8WYPiA/5EBw4YBrwFbBiz5gmWvtCutvDBXXoHa5dLiirscXnNwjq6+qquyrsyMzLjfe/7jRURGZdf0xVlyV9IrJPKIIyNeREW+b3y/v+/39OORiz19W5RmiIZEtfn54jKLXSEtWKyyBsHKSZU5XcMIFmzNujbEPivZQqHnMtC4besXl8e2NtFRlhHMvDI6I7bzTJZKg5ySjYw7FjxWFvNVrEbmzbenKOWlB+v2OfPt9hVeCVJLZjT35rLTSqKae3P3VqHLKBE1B57dKXiZ3R8vK91ZE7uezSEE8WmWTzsPAsGHvV80uXlcFrmSFtdAXvChG+M0mzCm/NGvNsDUMtnm5835zmJJhQaRSgrj1HmJsfJItWvjMIo+obJ3CyLd4l464PZshVnesvIooQmzFrPMZ5b4uI7mmd4Jl1uHBDJjpLqMiw6pdsGDvWLAu+k5DrMuUe5bVjOWOIl1QQVQ5bkky3NLZgpROMhc0j7UyFySZC6JaHNYODiuQkp7N1/n0oJDJawcOxXIHEQxl3rL1LKJwZEk2ZSYLghfW4LX1xSBQHVchLa1je0gt3LZqqu1ePB6sfD+1DmzaHLzeDftabitnX78QbTFOsUPql8sFl4vjvIS2OXCHCCCZep61OY0Yq38fAkLEF/FsoUV4CxloPc2V+mrkKV/msP3sTWKm+WjNNY6d7Vc/lngHAw5xx222eUC47v2Rjjr9mlEGbx+iJWEHsL4V8/zv37uL3B0cY0WGeH26/QJ8UmJ6TBiQIpPTJuQPvucY6QGFihW+19GiXz3h59m96V/wPP8iDWOcEuzHa4Az9l9u/7Hv8u2ulPXjoOts1wEgouGNYsOqU2Tm0p++sh2lsT4aQyNHrOZhSRrjUGg0Qs+qRqDU4+leOB/QxkIc8+6oVa/70kBmbLSUzOFuCxWTzPMQUixG6Fm1vFNOKBCQzaVxKGH52lWLjmwuWLHOLMYM0vs+gAxGsPuEfo4pYggSn0muUdYSGZlf7XKHUjKi3wipuSmT6o0t6aQKJdIdXGEIS8cPNdK2YvCIcldlBHk2sZwTJUkUbYW0o43BZHOcYTk9szn+Z7HWjuh7RUIYWh7BT1PsByvoIzi2b6g282swU3ZeUpXrGLjeCy+b7wWwpwyuYGyqx9xvbH43W63KY+ffoqL1FODxUWX1Ee1prFNc/7FusYmA7a43gqkLUZmVK0Ca1mW1cCuchON45jxeMze3h7GGF555RWCICCKIpRSxHHMbDarlw+CoGYmT05OGI1GhGHIaDSqpZ/GGEYjm3JdPQdBwNraGktLS/i+T5qm7O7ukiQJ/X6/rjeswGcFYJvS2KZ7rBCijtpYW1urt9nzPOI4JggCrl27xtWrV0/JThePSwXiFvu++T2Lz03A+DjRGYvH93HPjapV15gqLuNRP9ZNwFgBw5KwqC9ohtPnmFm40ulZbC+KWpWZBY6tK7QbAjrDFJmVk84mVmZaFJDGmGkIR0eonbtWg/65T0O7B9MRJuha19TpiQWaWQpBF8ITGB9jDvbg6Ij8aEp0OCOc5mSpwhiH8NDeQTs+tud725FsbgT0VjrItoeKM7J37+JHEQwGdb0hcYyZzdBRZoHiLCNNFXFS2LvtZb9IKZjOcopRhHveWLfVMIRWi9kspyMlN55bpvPxqzYyxOjyYU4DQ33GZ833VY3QoslNNSI7AzSehSONmV8czyo5elhbdEl9VJPNXWmwEc16pGYt46n5ypaWLJ92qMutKuCIKGWjpYFM3C5rAZ35+/Ey7J23633luxZsRV1QqZ0+61mwl3kQlM6k076tlxwtW1nraNl+nvl2PaNyDFY9B4mtVVyaWPfUtMyJTAIrW61MaFJ/ngdZPSpprNSlbLDsi6htv3PtqNzmjmUX4459f+09uHrT1lQu1o5WrQKOzc+a7x9gHc1pwHgWaDwTSDbWWRkbPXZbjMt41LLNk7q801WBRsofcKHthpraZWVhFYn9ktxIpHHwysgMAG0kkWkRaZ9x0eYg6zHO2uTKIc49ZolPPAnwhh4Y8F88YdWfsZsPSLTHfr7M/WSZWHnMVIuBG3E/XWY/6jMc92Di4U0F/gS8mXUrxQhaI7uRwcie3KrtEK9J8iWB8qz8OthzSVNJ0SuQLbu9Ji3BZwYyFfY5Azcxtoa5PI5aCrzI4EaCfBXcVkEee0hP40WGou0wes5ldlmx4ihbt954nOpzg60/rFp184r5DaEHTG4q4H7WT9EZ15JT598TgcZqGFbJU9sPmZfTo7ai8Vyc8d5dmK9s9ynD5gPmmYmVsMphXot4DgvytoEemE24vbrB63yCX+NPUuDwS8VftYY217Gy1mexAHMZK1XdpWYm37lxie/wcd7gRV7f/wT8QFggV8Cbb3/Sfv/Xy+24AvwJw/Vr32OdI45Y45f5Krts8SJvsFma0Oxzjjs8wz7n2GeTfTY53luzjGLQ6IsAeAvee+k5fo7fZotdbnKFASN4y37f6n95j7/Cf0d7mqNcGtWF807PaFEsRGRU0NB2nyoP02mTmwowOmegv1PRGVU763g+ZqtcUJsZiw+dv3ERM6KUcJeVjAKDgx2XycY/wyJoDCv5SKExosxMrGI0SidTk+QwS9EnCcVYo3OsoUzoczDu8fa4jzaCn3/+NmK5BccTK2E9maIPIkyikHGO6LfQBxH5UHGy22E/6jBMXfYSwUmqiQvLyt2P7Pffj+xdrb5osd1z2Qyg4xgiJXhj0iPMPTbaCV3fEj9R7jHJPaaFZKZsxmJUwDTXOFJgCts3PoJRqjnOXJ4xgl6QMo4DArdgnGmWRMBrGwE/szrF8TSmlLOaBaCojKjLsqqmjaiZRVlejAycMrlRhjJH90G25KyxVPM7NE82Pv8jIUOFObNYGc7AHIBW9X7GGLIsI4oikiSpX5+cnHB0dMRwOGQ2m/Hiiy+yublJURTcunWLJElq8FVFZFTGOOPxmOPjYw4PD7l9+zYnJye1Q6qUksPDw9oZtTLbCYKAlZUVut1uDfb29/eJ45jl5WVc1yWKono70zRlOp0SRdGpWJAK4FWgtapNlFKSpilhGDKbzRgMBly6dKnupyYwfFLA9i9SMwZUmOAYYwEg1M6HRuUIUzKzaQTTsQWKSQLTMWY4xOztE988IJ0krHz2Bly6YoHhve/D1IIvpqH9r221LfMYR5ijIQyHpLcPOHjngMPDhExrFCCTgv1RSm4MsdZlriS02y7+hYHNPZQSNZ6RvL+PtxnjrA3s3bfpFDWOUdMEFWXEk4TZrEArQ1HY/EONvcM0nebkx1PcJLFg03UhjhnPckKl8c8tI65da3RUWROp9fzxL9sDzYi5DLWqTazYFyXnwCfzLZhKgvnrkxXLzg03Leh68Q3YPLDA8NYz1qzPy+36hSnzDwsL4MZLVlZ6uAG3t63MNC/lo9LA4XrpjBrY9UljAdzKiY3PEMZuw/6mNdRZnliGMerOtzNtwbR8X8lQhQZdsoyznpXTZt5c8pq2IOzZaYMRXLpb9hMlu8d83P6HSHHzh6oJA05iBw+Ztj/ZXukQlGgPJSQawbhos5/2GWUdotwjjANmozbOsUv3UOLOYHJDcX3tgFh5/ObJDcapHdhMkhZSQNuz+YjTzOd40iU7CQgOHbp3De1jjZNpqjty4gBkrnHiwg4QJahAkA4MqmMwAtxYEAwleeJRLElwDCJ2cGOBkwgLEmfgRaaWoSJAaPvemxncqSTLHPAVwjHo1KE1UXjTgmzZpbtlpW3GiFLeVY6bFu5j/ctWtqKSoTI3t6mAYpe5NPUcFgBu29d728t8i9f4bT7P1/gy746v8TeW/zrdv6ctMPxrWKB4BPlVe1NIDKmNcd7avsw3+Qy/yZf4jW/9Ivw/WAaxypD8Veay0an9bPXKLq/xuzzHuzgodrjCr/ML7LLFy3yPPlN2uMIOV9hliyGbvLf/HLwVzGWoLnMw/AN4+1//CIessck+HWKGnLNZjz+AV51v8+f43wFQrqwlrRVg/BdNZvq4zRgY5441asnsWKMCiiYrEFpaw6lZij6KUeOCYiaIxj77J31uTbu8O/U5yQRfOjdl6XmDSQqyN+6TjQRu25CO7Q+X14lxWjF5KBgddLk36vPeNOB7I8HdWUaiFcpoZCbYiTQpBaEYk4sUKQR9Dy61C1b9HAGMcpd3pgFh4XAucGk5mpPU5yRzLVOpBCcZjDOD0pApS1Ypo1EYTrKCo8wjzl06rQxPamaZz0GacWQmXAh8bmwd1v1U1USaEgzqH6uS8CfXfuJgsRlh8bitYoUqFrAyuKnWVzGNFTtXAbHJZMJkMuHg4ID9/X0mkwnXrl3j2rVrtFotjDEEQcDOzg47OzsIIVhbW2NlZQXHcYiiqAaK9+7dY29vr3YwrYCaMYZ2u02/36fX69HtdpFS0mq1akdV13UZj8eMRqM64iKOY+I4ZjqdkiRJ/VwB3qqWsXJPjeO4ZhQdx6nNcaSUNcit+gPmrN5ZUtR/3trT7F2tOg1jfKVK6WlFHRWQFRghretpGlvQNxlhjg/h+Bh1d4/45gHjUcq5Vy4iPvqKzWs0GtodzBvfI//huyAF3tY6bGxYQBaGmOGQ9PYRw/ePuXsYkxlNrDUnhWKYWefFFVey7rn0HYd+10M4EqfrWxbQ83A8j+wwJNsf4xUap+OjwoQijCmOZ8RxwSTMiGN7IyVVFowqA6kxFEajwsTWbLZatStqZuxdKxUmVooLc2DYZBKf9Jz6I3YOagHOE25ydcmP2hYYVu6kUNYBllLTtGUBVdSxYGyyBJM+HGxap9LJkmXhrr1nQZcRlkHcuQo7V+w61o4s0HOUXc/xKhyuwb1LlpXMPRuZES5Z4GmEzUjsT6A3swBRarv+ILHA0C0s6BwNLMPXKpnMuG1BYBLMn40o5bBlHWPastLYuF0yioWV0OaelcdKXYJcPe8PmIPnShb6VB3+R6Q9rhFPs1VMoxvber9UuVaK6mANbpQ1vhnlbcI84DjtcBx3GIVt8rCFd+QSDAX+xDB5FtavHLPsJWgjWfITfnTnHN7tFgjIVhXOIENKbRm8E4/2kaS7a+jdL5CZBYbuKEJMbK236XVQK13Ukk/elTZ6xjfoQINjKFyJN3HwxwKhHbRvcBKBEwvLUiYGbwpuostcSQtGhTJIbZ1O3cRBJJLCcxGOxuQSmWuMFDhJedcd6rvwpjypqucn6/Anm/2n2s6SmD6qlfPfYXvuhFoxVpUhTIGVmW4CV4EX4Iebz/I9XuY3+RL/N7/A3u89y7/5qb/JXxv+D5Y5dIBd+Edf+Bz//fa/g4Pi8/w2r61+iw4RN7nCN/ksX+eL/H//5I/B38ICxR2ssQxvlF/8Ajzn2frIj4LvpJxjny126ZUOqt/nZX6PTxHR5hxD7rDNHbZ5m+c5uHUBXvfsegssa1kBxT1gCnd4hjtss8KINrGVvh7afb/DNi1lZRWqjLSa+5Y6D0hPH9WeNHrjp90eFKA+ulXDpnEhMYXBZNa9TEBpcJNhpMCEKXpaoE4KkiPJ+KjNQdjl/WmXd6YewwQ+vVbwsef2kH0fjMFZcrjzvWV+73AFKeByJ2ZraYrrKMZxwN1pl5uzFj8cw4/CGQkZEzHmSNwizO5jjKbjrbMun2VVn2cl8HAEdF1F3yvwpaLlKPZTl93EI9eSnqsY5w7jwuEoFUwLOEo001yjDUS6QBlNgSYyGblyGOc+k9wnSApcR5MUDonJcXGZFAKnlCwZPb9GacODKojHaOan9MP3yJzFRanho2qDCzEAACAASURBVGrYmmxWs76w6cS5aE7TlDs2l21mKGqta6fRat4KUFWREmEY1rLTyWTCcDjk8PCQyWRCGIZsbm5y/fp1Lly4wMrKSg1cz58/T5qm7O/vs7+/TxRFSClrVvHg4IAwDMmyjOl0ymQyqSWuTZObyiynyntcWlqqWUJjDP1+n93dXVzXpdVq1VLUar8qILzYn9X+VbEeVc1jxYJWWYxn1R82axCbctLm52cxkWc9nrRVQL7aD6gKeE+fQ48qYatkqbp0s6sEE9qu2MZtlGowI+YxGqaMz6hrm4y1eabQSOmgtEHPbEYhnbI2r8ipA++zFEaHlnVMYgsU794l2z0i358wGaesbi/jfuIluHIdsXERigLjeohnruLFMcWt+2Q7e3jhFBxJPpyQ7I7YH0aMwpzUaCaFYj9XjAtNZgxrrqTvSAIpONf2WRm0kJ6L6HVhddVuj5SgNN5an9k7ezi+i9P2UHFOFOWkqSbPtDXyUXMW0DpjGXwhyDJriIPnWeYwTRFAS0jaz27MJaj1wnIek1G5Q1YPe9LVD6OtE2sNLHVZc1hJ95ra0sdsxphShlG+r54bktCqPaqGrSmBrMLooaxhK+sNq2mi8Wyz904vW6kSZRkDkbUsQDJlbZ4qXVClsp+H/bnsdLIEww3L/E1KCenmPlx/By7ct+Y22rGGMOf3rCx0/7wFlVHHbud42YLFg3ULDjPfgrrJ0lziWpvcZLB+aOsg3cICyKUJdZajkVaGurtlAWQrm0tRM7/McyzNb+adaZeTeclmunbdlbFNxYKe259LUJvHSZbOqFWMYdPkplmbWAHKJhN51uOJWnkMq9rFenmjYTHQ+lEXquqcLi1mjVPdfDJ1356iUm26cmOH5g9RBtKKMvpBZhDlPoNWXLui5kbiCc1M+ezOlsm0lZ2OwjbFYZvWscSbCPzQ1vXx7JSPre/yUu8eqfZoyZw7mwP20lX8A5dg6JJH0sabTCT+CbQPNa2xxkkV7iTFOZ5iohhTFIh+D9NpoVsu0aZPumxzEXXb4PRzaxghDBiHomfo3BdoT6B8cDJwYmOf8warWHWlKFnr8rwShbDxHdoa7RgBquWQbGiWSwlqfUiFKR/294DS4MaUJ1XliGr/seeSYFEejup1U+b8RKdUeR5XFyhhDGcju0c5oTYyGBclpQmnJZaPelTMYWBf73POMod3mMdclNNYw7qfdoFNCxS/xpf5LT7P63yCve8+y8986p/wH/I34H8B/nE57wx+/nPfYH/7HL/OL/Dr/AI7XMEn43U+zjfTzzD+1fPWBGcP65q6dwS8i3XKeQV6HpwH/jTwuZw+Idvc4WW+T0QHF0VKixd5g787+yqD7oi1UqJ68N427Ik5WzlqdGXFLq7D6GhAuNanR0hGy4JFFzgPv8Cv1xLUqjkofLIyyqOooy/UGXLTlFYNLIuF56cFnGdKjOHMa9SjnFCNKWM0RJXHOJerFqLANaCRJWgUpbdqOQYU5RgM+3+iyh9jR1g55KwQFBE4yzamxuSqEYlRkO9lmMzKTsdHbd4/HnArCthLHA4SeK5v+MzWPv1XfOSza5AphDdj+5kTotzjR5MuP5p2OMk9XGG4n/jciSS3ppphkhGRcijvc1S8T5KdoHRKp7VJx1mjY3o8661xviPxJSx7ORvdGUV5s00Z2PAVb4YuLenScQ1RIZjkEBeGRBkKY8h0cywlUCjaeCQKUiXxXYXS1mxHounQ4novqyWo9XEqozaUttcqKezPSzXMnktNK4lqI1LOVBLVSlYqnnQoVf5Umbp28XFqGH8izOLjGKUs5gGeBRyrTMLKWRTmdYqVnFNrzXg85v79+9y/f58wDBmPx9y4cYOLFy9y7do1zp8/D1DLOYMgqGsM8zwniiLCMCSOY0ajUc34zWazWoZaMYS9Xo/l5WWWl5fZ2Njg4sWLdT3j0tISo9GIIAi4cOFCXY+4s7NDt9ul3+8jhCAIgrpWsjK8aZrNVM9pmjKZTOh0OuR5zoULF9Bas729TVEUDzC2TYD4pHEnHyYb+WEznGV5z4MmGGfMV106K4MUU/2jaTuYSKOMXjSF1Y25g2cVdD+bWvMarTBHB7CzQ/zuHvFxxMko5ZlXt/Geewbx8qcQl67bZduOZSO7Fti5QWCjNaZTiqOQYhJzfJwQRQUGQ6gUd9KCWNuLUd+RbHgOq57Lmu9x/lyb5Y+cQ8cZaI1YXcMcDKHTof3ceVSUIqXg/XdHdLsuy0s+QgjabYe80KSZQhlDXoJqO04SOKWZg4pSnONj6Pchy9he79i+uf6cBc6LKoAqHkPKOUh87AP3IZ5TPBXe/OBWAo0HUjoWdlGLxjlVAcgKODoglGX0ksDaz2sJlDWKRXsu59TSgrz7F+wj7MF4ADfegov3LKt4fs9+TyXnDBLrVuqXoCzqWnAZty0bmLTtps+6VtJamdO0UutCujy2OY0bB/Y7Mt/OvzS2yweJBahJy4K0nSvQjSx4FKVstaq1VNKa4QhNnV1YgeW0ZYFqJ7Lg+MJ9+/n2HQtKnQUFczVIf5qB+YcpXW0a4HwYrcpbFGYhp8wsGt+cntYEj9WNCTeBaepDDwojQbtl0L3LOGszzXyUlowmHdR+m/a+xA/BHxtGz0N2IeOzz9zms8vvAOC5iuOiy5KfctTPyH3L2IlY4k6tmU1rZPBimxvphhnOcIwpTbREu41e7pKvtklWPaINh2jLIDO73f1ezGTSRgSK5JxGpgIjYWlHkXckWd8CuCIQyMLWQcrCIIqybrEcORnH9oVMBUXoIdoKkQumW5499y5GFMrBkadPKlGCQfE0x/NDZBfr2tQPoy3mKjY/X5zvrGUq0OjC7tEWyTYE32YeL1EF3T9Dnaf43c3r/Cpf4Vf4Cm8cvUj+jSX+zC/+bf4sf4eX/sf34f8ol61Mb27Dy9vfY51DThiww1Xe4EXusM346+ctLiwoYypuAkNsouMV6J2DzwFfBL6a8Gcu/h0OWUPh8HL6fb7depUL7PIVfoV9zuEHGXf/i+vcvXEdXi0DZ68oGAU1i8io3L8qqaQHqnAYco7v8zJX2eGEAfwluw9/gf+ZuOfhJ/mpLrWQrygFqU/mOPPE4PBh7UM2vTFlZaJG4TSApkbTzAnSZd0iUMu8KzsCZUAaQ5gLsolL64LBlGUvJlHoNEONNXloYylODjv86GiFN8OAg0SwH2u+eM7w0mDCxZ/NkC9ftl+05EAY4y0b1nsz2m5OUriMMp+D1GecC+5Hhkmm0BiO5D7D7E3yIkKbnJa3zLJ3iQv6KlvuElf6Lh9dVkSlDHR1JeLgqEevlfFCP2FaODgCfv8oZ+A7rAcCKaDnCTItiQtNbjSZKXCQJZiWuMLajs2Uw3DWYdBKSZTD8/0OSsPLG/dRuUQuSJUsSDTIsi70yY7bh9eqM+BRgPEPHCwusoRPulwTMKVpShRFtWNoM3+xeiRJwnA45P79+xwdHTGdTrl27RqvvPIKKysrnDt3jm63SxRFZFnGbDYjjmM8z2Ntba1mJ6fTKVJKPM/D8zzG4zFhaGsjqoiKbrfL+vo67Xab1dVVlpeX6ff7NUMYhiHtdpu9vT2CICAMw3rb9/b28DyPwWBQ12FWrqqVMU7FKlatclKN4xilFC+88EKdrei67gMOpE8LFD/sVm3Xh+WQWt3larqdPt5yjTs3yiClIEkVJpwg8ozaxCVN5i6n8QwTRXDvHvG7e4z3pkzCjGde2sT/3M/YqIyL1xDtPiaZ2vrG8MTKVn0fcf4inBxi7t0DOUV4Dp7v4HuS47zgMLcAtesIfCFZ9RzOex49z2FtLaC73sVb7WEKG5FhTo6h14Pbt6HTQR9PyXPLIN49SWi1HAYrAWiDUoYsVZCVOcqq/AkQVV8YhFM6qU6nmEJx8bXLOJ3SHdX1qKNBqrbIJv6EW1MF+2GOw5os4tMsJ6EOlk8DK0UtPMsmGWHBXRrMTWKSwNYm3r9g6xSnPQsQX/melZeeK11Fo9KkZta1oNDLYe3QMojKtctJZT/3cgtAw9KR3s+sTLU7s2xiO4LVEwsa+2EZa+HadbUTK18NErt84dht3ztvHU0HY+o6zKx0c/Vzuy+mZAerW86y9IqK23b+F960gFUYyywuOpBWIPGnFmNQbrduPn8YrSlreBLpUOPEtkyrwUkhjFskhVcbH0SFzzRrMcs8kswjTT30QUB7XxIcGfypYfysxH9pxJWlCa8t32TbO+JevsJIdbifLDFOA1xPsbkScjJrEx107Y0TCdoD5QlaJwo5sqZbIrCSdb3UITnfJe9KkhVJtgxFzyCUASUIZwF+UJAOO5hA404dZGH3p7ebMb7iky3b6IpCgZOVlH4LnERbgOc0GFcJQglM4iAVjJ4H3TI4wuA6yuY3NluTWfxptOp81qZkFj+E9rRAoblMyUjmd5fY+dhlbizdspjAxTKKW5BfgOHyKrts8TW+zK/wFb77w0/D6/C5P/+P+G/5q2z8zhT+L4jehM51rGT1BeAqDBjxsXfe4d71VWI6vM1H6BBZx9N14BvA3ajcoIvAEgyWLJt4A/gSfOzi67zIG0R0iOjwRutFtrnNr/Gn2GKXN3iRcNS3+/O3gPMB5197H4XLwfQZCxbBspR3y/0rmVhdOLWT6h22ienwl7/w37DJPi6K9jQnC06fT26jcvGn0v6AHFI1CoFEPKH4tGIYHQTKGBwjmBUwDVv00ggMaF2gI0MxNeRThyRyieIW750s82YYcHsmOEo0r20Ifv652yxdynBe2sasryCORzCL0QcR2UjS8gs2Ls4ID33ygxUOUx9PQuAKAkdyX0Wc6FsA+F4fV/gsuRe5qq8zcFtc7Hqcbxs2Whm5luRaMhp16LdT3j1coe8VHKQ+qQJlDG9HE9ruMufboowHEUSFLdTv4DJTORJBWRSANjY6I9eSSdYiN4I/dq6g69j8V6eM/Gk22VBA/DSaBfymARYfPj5/bLB4Vk7fqS8uwduPA0zOYp5q+WIpQ51Op7X8dDF2IooixuMxw+GQ/f19jo+PWV9f55Of/CQrKytsbGzUdYRVUH0F0DY3N09JM1dWVvA8j9lshlKKra0tgiCoDWgAVlZW6PV6uK7LYDCg1+vV0s+q3nFrawtjTA1yx+Nxbb4zGo24ePHiqazFpjPqYth9BSg9z6tB7dWrVwmC4FTfL9YrNh1PK8Z28dg2l2n2/cMAXtP1dPH5rGPZBL5ATb1XrxdbJT99jKSFD97GMwBltWnGlGBqPJ7LT5Wy8tM4gizBTKdwdESyM+To3oSDg5jNzQ7BH/9Z2LwAW1esA6rj2hXnpawVEJeuzGWbu7u451aRLZf+SYQqNM+0HDpjiVXGWhPr9bbHUt/H8yRLax3c1R44DsJ1UZMZznCIuHIFozUmjjFZwckoJdaaVGuOj1PWr65ickVbW5lDkijSpCBVuoyiNuXxsFIRk6aIVov8aIrJFc5LNxCdsv6ydC81xsyNbZqou8pXPOucwmC0fcz7/uGS5tr11BibUVgfqwe+Yh6Z1vysATrOGidWLOCPM4Y8a9GKvdCylIH2S/mpnLNwVexE1LGgbrhpDWWO1yyY++TvW6C4cVDWEZaSzcKbA7TN/ZLJK51WV04sSJz1LDDb2rXLamFZQISdpze1N94HI/taagvqqnrHrV27X1HHLjceWIYx8y3reHF3Xp9YsYdV7WVTCSWVBaBZyzpnVpLbqzftdlXOkxWT26xXbDqenhkhYU4v0+z7hwG8puvpAy6oi8uZ0464dqdKJh0+0K5XaDOXnT5Fe4BtLNdLaeksM8hmPpl2KIyk0JKk8JhlHlnhksQ+euLRPpC0h4bOkSJadzAfC9lamvDRwS4b7oSuyNBIIu0zza0z95W1Y1ypUUYQiQ75QKFdB3cmEArCSy3a7XW7HbmtLUzWPLKeQLuQDQRF14ZNGwecSKJOWsjzU7tMJJGFwB8bnEQjU0Uw0kQXnDJrUSC0jdBwUguMqW8GYoGiBpEJjGvwpjajsbgcEQQ5xpROy003VC1L2XujTxdVA83PGu6otu8fcY1oXGNOu6CaB77DPDAm8phLUM8aglVo4FEy1Ye0s8BEU8a4B29/7Hlu9G5ZENUC1ixQHC33uMkVXucTfI0v891vfRr+IfCn4W/zb1mg+A+A23A8g46LZSQ37eov/+MDSOBicIyzrXiNb7HCiLc/+jzj6Xn4d4ErHSiuzuMtvoSVvg7g+kvf5XnexiejTcQOV/kmn+Gr/DIKh5tcJaRP/o0lCwT3gK/Dc6+9R0Sb7IrPODlvp1XTG93sBRkxHQ5ZZ8CIN3iRiA7/Pr/EBXZRLjiFJm35tYQ0XXBArQSmi6xhFZOxKDdtuqWeebgKZ35sHuWCWrGkp5qsJahnSVGN0RhULTt9mtaMz5iv15T/q1aueTJrs5lFiEJjCoOKIZ86ZKlDOAvYn3Z5dxbwXgh3phmX+z6/+Owdli5ltJ7vw3LXeihoA2mOnllwvnotRbjQLTLkoeFSJ6bttDhKfXItedFdYSn6Ato1pBRoDJfcPmstie8ILrRh3dc4wuC5ipPM5e6kx0fOHaGNYJS5pNqynDOVE4mI+1GXF5ZdCm2loOvGISoks1wTaYEw8552BORaECuHwFEcpB65hk89c0Cnk1n5vKgqcOw1SmlZvqY8buUNroUfJVH39Wm5qSnd/z/weJn5c/OyZBry06rJ8u9h7YmYxacBgpWc8nGXrVjEs+avJKaVwU2VaViZzsxmM46Ojjg4OKijLr74xS+ysrLC6uoqg8GATqdDGIZ1TWL1GsBxHDzP4+LFi3VUhed5jEajGmCOx2MAwjBkaWkJYwytVot+v89gMKjBZJLYIoFKsjqZTNBa47ouWZbhui5BENRg8uTkhOFwWJvWVPuvlKpNbSqwWMlQe71eDVYr8FwBvOpRfQZng/HHaQ9b7oOiOM56fxbwfJpLlxCiBAqPd05VkomzLtVKGzg6suyaU9YppokFilEEkwn57iGTuyOOj1NGSvHxz11DbF6AzYuI1QuIoIuJJiAdzOgARkdz+aZrA+/Fs9cwkzHy/HmWWh7B/hjpuzxjDPn+BIDZKKa72gFtkF0fb62Hs7FqAVpRoGYpMMHZspLU/CDEKI3nShKt8aSVnwbXL4LWuPsnsHNInmmkI2qgWJZD4boSU2h0kuP07LO72kMsD6xzq1a2X0zDAVWVgLppevOkbQFAPnC8HnZOlX/NY7vYngYIVhEXj7tsxSaeNX8lMVWlW2jhlUYvnmUUZ13LJh5sWCAW9uGLX7egbvXIArpObKWpUlnTmeo1WLbQy62UtIqq8HK7Lrew497xsp037NuaRCMsu9cP7fq1tOxhUkrQcs8C0MmSneYWFvC5hQV5FZg8WbUgN/cs4Kz+A5W0Q1tHl+yjB52SUe3N5mC1As8VwNPO6c/gKWSDcAoEntWa0xZB4iKmOAt4PtVNUFGdJI+3rGhEkZw1TU5ccu3gCE1SeCSFS1a4pImHnrn4xw7BoSEYafxxwb2fk2wvh1xfOuD5zh5b3gnv5Zt4QnEz3mA/6tfyTV8WBG7ByoUJ06gFKzD1OnhjiXENI+PiT+yGeaEhW7KsoPIh7xmKgbL1f0pYsIckL90RvVBC6ZrrJgrjSYpAkFxQYMAbSTgQyNyUTLywAydlwJvLu2VeRiPllsXsdZO6RqhQduCl9dyW/sysxSdpiwDygekLrxvvxVl3t061pxB1uXwAUPiAVoGMs+ZP4HU+zi92f2Nep7hqgeIuF3iP5/htPs833vuSjbL4Nvz1//w/5tkf7MFvAr8DR+/ApY/adfEqFuyVkTvMgCP4s6v/J+91n+Xn+G0GrRHf/sKr9AlRv+jwHT4OwDu3XuSFy9+nwOEcQ17kDV7l26S0iGjbTEgo8xRbfJ+XSfFhgAWDA+AKNZj8Vus1vnbjy4wPz88lqOU+A3R6EVGZz6hwGDHgI7zN87N3CMZgAoi6EoVLRosUnwy/jsyApzOuqbjJD2xF40AtgsSz3i+2pwCCEqd8PN6y2hgQPAAawTJye1Gbj+QGHFAxFIkkSx2iyOckDrgVtbk5FdyPcoY65C+f7zLYivGf7SCeWcesDRB7B1a9sDsi3TO1z57wBW5bc/3SEeGkxTYQOKvsxj6+NBha3E/szIcpbAY2PqPrGjZbBVvtBKUFuZGEhQP4XMlsnuJ+4qEM+I5gSkLLtOh7Di8tzdBGcC8OeHfqkCpwJLXvRlHCNU9WYFEyQJAowZqvWF5OcFoarUDnEm0ESkmUFuVD1m6oT2Nc86hSnOY0bU6PnTSL7z8kZvEn0c5iJpuDRWMMx8fH5Hleg6cKLIZhyPHxcW1AE8cxly9f5vLlyywtLdHtdlFKkaYpRVEwm80Iw5CTkxMGgwFJkuA4DkII+v0+RVHQbrfJsoytrS2EEGRZVktJDw8P8X2/zmSsaher6cPhkEuXLjEcDuuIjMoNtWIf19fXWV1dJc9zptNpve9V7WW131Uch+M4dTxHt9vlxo0b+L5/imldZF2bgPHHidH4o+ioWpf/mNPjtap+kdIAJ909IchS61Za5JCltjbn5AS1f0hxPGU8yZjmiuc2e4jnn4fVdUR/xbqo5qmNzAhP4OQAM9xDrJ+DaGbBohCwsmalrt0lTJLgX71qP09TvEsnkOe4u0fIloeOM5x+gLPcg7U1GI0gz5nePGTpxgW4excVRqgoZbYforXBxd652txow+Ym5DlyFNb7nab61MVBCnC7LYQrMakFyu6gi/vqxyBoW5CoFBQ5pn5dzB9VlMYjB0UPOz5Pf049ad7ih9ZKiZ5Y2IAmADFYti53S/BUGr3krgV9xyulAU3fZhBevmUfS2NbI6hK5q7wYNaxMtGTVQvykgCcyILUfmjHF+3YgrOtXbtdWWsuJT1ct3LRzIcgntcuhn277HATLt2zJjtR27KJo5W5pFYaWD+C1WO7/dP+HCCnPqdcTKW2wNJRdtultvtz4y2b5ajcEhiWkR7asc9F4/VTG9U0jsNTt7Oo6p9Aq8y3Fk9o0fjXEsbgn0ji3MNzlA2Lzl3y3CGf+rgjF3cm8EONN9OMr7bwt6dsdcdstUak2uNY9ZjpFveyFW7PVjgY9VhbnjFJA3xp5VIb3Rm5cugFKcPcQZ9XCAFF7pBNPUQh8I8l2jPITKACg+pqnKUMFXpQCNpDweyioThs48QSJwV/ZM9N7Vg5SbImkSsRupDoaavudyezLG2148YBFdhnWdhOKboG93pI28/JlYPS1ilWKYnWAq2lNddRAlRDyvq0F4wf40JjWcef8JXqYbWNDcbqm3zG5iDOgC7M1iQjBrzBi3yL13ib5+HbwmYQ/kfwl/ibNmLiLTv/2haWUXwBeBV+ePVZXrrzvo3amNrvCF6Hzc8O2bgz5XD763yVX8ZBccgab/IiIX1+6/LnGTDiiHW2ucNzvMvHed1KTenz60f/Gn9u7X/ja3yZO2wzZJPfvfeaBX89u4+9P3HAZ/gmIX3e5nmcKrewckNtOL5utXbpEDFigE/GNd7jP+M/IRja/UpbELU6lqXEJy6lsBFtYjp1hMbT1iL+WA6pH6IE9UmaxiCNeYAlb/yrog3cjlqoWCA9g85FCRZdjqYd7kZtDjPJYaIZFSmf7K/ysfN38bdc5HoPsgIRzmwe4+GE4l7C8V6Hlc2IYgK+b0BC+1xBnkva/ZzLmceN9RwhIMlcDqMOqZLcigICaYiVYMlTrPo553ozDmdt0lzyTujw8rLh/eMB49xlqiT3IoHSBg8XieCZnuTS0pSscDjKfKSwxy0qNMroeizlCEHfM3jSkCiJIzSrvuLnLu/idRQqF5hCUhQSVdhrVKEkhXLIqxtdzN1Rn+74PP0PVyVDfVT7Q1Wz2KxRbMpem4PKyWRSO4FWy1TfUdUSuq7drcFgwGAwYDqd0u12qWIpiqKosw+TJCGOrWywir3odDo1oBsOhzXDeHh4yOrqKuPxmG63y97eHkopHMchSRImk0m9TVmWsbu7W+cvxnFMkiQcHh7WrGO73a63tV0Gq1fOqJXU1XVdHMepzW+CIEBKydWrV2m1WqfqN5t9sSgJXWRrqnaWLHXx+D2sPc5x/bCzHp+kZrEyuTH1dthtri5yQkB+GBJkCYgyDLlizrRGBh7CdXAce+dtZb1tgeDoGNNfAWMwaVwa4owwt9+HOIaZPRdYGljA2Otbh1XHgbu3bC1j0Mbcu4U4dx5zdIi/tITauYspFMKRmChGnJzU25Rlmtk7ewTTBJMVqHFMkir2TxJm2l4uvF5g3U0Bp98BIM0UmdLkZn5xc6VAxxmm0Di9FkiJ+9GPINoduy9VBzXzFef63dPvq8+qJuXcLOjsA/jQYyYecJk5YxUPcIw/XnuSmsW6RlE0yjfNXOYIlqHLfRBZuUwJhLRjwZtTWJkpwODEAsFp34IrIyzgK9wy+/CcBXFxeXp2IwvkOtEc0A03SoYxs1mLq8eWXexGtu5QlcYySdtuG1A7t+5uzfMX4479rsN1Oy/GglG39Hto20tl7Yxa3Qx3lQWJmW+/K0jstl29aRnNwpsTNRXA1AtsoqFk1hrHpGqPip141G/s4zDGNUj9sADjk9QsVqCw4d5VyaWrffdCSAu3jopQpZwJDdqzxjCVFDZdEWwsTdmP+1wIujaHMb5EpHz20yXeP1yjyFymiZWirrdneFKx2opwpMaVmiFLnF8J6XgZt49X6A5mjCYd0o6LN/QQyh4vmQjUxC+3XyAz63yaJg6iADcGJzV0DgrcqAAhKNo+Tul0pNq2f5zM1EY3AMaVGEfgZJZZVC07WNSXEwI/JyvceoCl9YL8tHlATzF+8+PwKDn6I8+ZxzlPKlnLh9GepF5tUcZYAcfG6+/xMmbN9i1A2vJROGS0GDCydYY9O+3SZ9/h2bf2bKTFm1iZziYWLF6HW//qBvucY3N7/WFfrQAAIABJREFUCMDGm1MLQm/CRjq1gG0bXnrrfdiHW1+I+Ozx7/Od1Re4xnv8Gn+SiDYtUnbZ4vu8DECGT763xN8Nvsr97hYhfW5yFe4GNpfxXbsv29079LGeEtvcsRu9h3VGrVxRe/ZxyDoRHbbYxSflr/BLnJsdYJbtNXCerziXnwINkDgHe83XDuqhUtNHgkT3MaTHP8WaxcrkRhvraF/eb68dOh0Bw1SSJwKv1PJrVUoujaDtaDwBXinl3+oIli/E5ENwNmK7ktmelZ8exRy90yJKfYLQ/vj46znSA2fFZdnJES5wF9YuzXA7cHwzYONcyMlhl9Ug5e1xn9xIXAFh4TKc2vGQMoJYwZuhzVHMtGCUCWaF4dYsZixGCByWvD5e+SO9VB6bqDAkSpGWB8DDwROSqBDkWtD3FI4wvLp5SNAuKDI7sDCm7As9l59CJS09LS9tXi4edYl5FEh8nBIug8YIK1N+WHsoWHxc6c3DWKums+mjpp0VoVF9XkkYK0OaCihVoKpZizgejymKgueee44wDNnY2GB3d7d2Hq3iN6psQ9d1EUJw7949BoMBQG0w0+v1arfSKIpqKetoNKrjO2azWb199+/f58KFC3VcR6fTqU1pmu6q7Xa7rm2sGMvK7bViBGFe59cEz77v1zmRVS1jkz1cPHaL9aSPU4vYXOZxnEybgLUpfV2cZzE244OabjweWE/5+VljsHpa+c4KmuxzvQylVb+yGvFZmNGbhoh2F9IYk5cj/G4X4Xm0tGHlcEpRaHqffNbKTC9ehptvW2DU6VrHU6Nt/WMUYVzXooj337bgEiCaWsODwQC6PcgyCEPYOI/opZiDAyjrCItJjMkVPhC9s0/n+jlGo5TxBLb7AabQRFHObJZzlBdEWtN1JMIRMJ1CklAchcRxQZIo8hIo63LfhRBWT1GdJ0EA7bYd4EoHdGFZxSZzeJqePU3ZPoJhtMxJqZkQgrog8RFyVHuRNWj9AdcXzGNLRx/GWjWdTR81TRjq2xSLtXa6vDNRGdK0Uij8OagK4oZUdGA/f+5dy/RtHFjgVjmP5iXAqrINXWWn3duy4BJKgxlppZ6VW2nULqWskZWmVvEds44Fq2CNdS7ct8Ax7Nt5lVPmKnZKd9XAmuJIXRrteHbeJLCAsnCpTWFkybQKPf8f8/MyJxI7vTLUaY7fm8dusZ50sTbxYcezjtaAh/7CNgFrU/p6ah54fEnXw9h1Y2pH1MXWdD012P8JUd25b7BgRlA7onozwyzx6foZce7VdU6irdCuITMu6UQiC4fpVYWedbiyesw/O7yMFIalVkJcGuQkMx+TOMROC4Thrf1N1pesiU2YtdBG0O5mLLUSUuWSxh6bS1PSjkM48e35rywQFMr2VXtfEp/TtCYGExqKjq0tdGKDFxlaxykyylDdFkZCHnuYTOJPBU5icFLrhmpNYbDgt2Ty6/8xX+H5BcYIHKnQytZvnqr9aeJDU3Vi8/3Djie1g2nV94+3jI3/sOf/WTM/iXY0L+dvPzjpg4DC4rQKGLpnfF46ou69/Sy3n9/g8u4BZhNCrDPWNhZ4KRy+87mPk4xW+Q/4r9m7scz53xjDXyzXdxsrX3XgRzzPLlt0iHBQjP7UiOvv3LXf+Yz9vud52y6zDDtc5fLuAVdWb/J7fAoHRUyHm1whxg7qf4Wv8BV+Bf4pTL+9we6/vUVEx0ZkvIWVx+4Az4FPxg5XOGSdN3iR450tK1EdNfa/lKS2SGujmnWO2GQf5UrEWEPXsopN5tBFUY4IaimpWy7/yFrERmSGgyItQejDljnlXNtkRRfnecxrlDEWDNg4jIVpDYuTxWZNbEwZdwaU8WUO8wgNp6yQVMa6rZ+kEIc+fjchz4SVogNLrQzf0Wgj2EtapKrDz67NmB60WLmWEb0eIkSIuyzQsfUrOAlXmWYebqiQArIfuKycj4GCfCIwGgb9GG9JoFPDZBawfD6hnyTshT2ksNLQk9whL2sL3gpb3OinDGPFYQLLnqQwNiJjnGnuyvtMOWLJbOAImEQt4sLjIPUIc5gVisyoutccJEJYoFwBs7ZX0GnlGGO5AVtFJGtgCFi35voY2M+lsH2OEQ+VpDZjM6StRH2kwKsC9EpD8QG/SX+kZKgf1JqDxCRJODk5OWUmo7Wm3W6T5zn9fp+NjQ1c161rGcMw5N1332UwGNRxFo7jMBwOEUIQhiErKyvkec54PGYwGJBlGVEUUdUkDofDGmBGUcTt27drh9NWq4WUsnZfdV2XnZ0dhBAsLS3VxjxVHaUxhk6nQ5qmtax2Op3W7OHioNgYUwPhKltxaWkJx3FqyWqzRnEx3/Cs9X3QtA9qTbOcD8pl/CBGs3J7/cMkZa3+0UAQxwUcHMDyKkgH4Tg2J7DTAddFrAzoXp7huSeQZZgoQpwcYb73OqyvI9bWMYdWZ2/u3rOjlZMRYnMD8hxzdATr65AkFshpjWh3MHfv2CvJ6BgzDUneuIXTC8iOZ7hxDo5gtDsinGRI3+FHkwiBYHAwI00VkzDnJMk5LhQa6DsCFWWwv49Oc/Ljqc1bVNrWGjT3Xxuk68wBXxAgVtctCxrPqM1+ynrJulbxgwbHTeObx6xjrIGoaZwvujpnqtWZkj0wNMdtBmvZ/YfolDoFPJLAxlfUZjLaAqt2DLmyEtKNoQWOuW/nD/vw7jUL9JYmFrA52kpFhbHTV06sHHQ8sPNlvmUfDRaYDTfnADPqwO1tCFIrZW2ldjsq91W3sPEYwtjvq/IZR6WjqhHQmVlAWslqp72SPXQ5xQKCfV+Z8lTZiktjuw9pq6xRlPa5kqRWYLMCBafWR2PaY7J9TbOcKgajwgv15xX4aHxvNU3JB7fjp9mqGxMATgLxKCDtxjhSI6W9ieK1CpTjoHqCZENgXInINWniMZz1OLy5iljO6PUTwkkbIQ3ywLcAauqgBgXak9ybrBIsp+S5g4osqt/3c44O+xgDx1GbOGrRvuOiAoM3BZ3bSIzWscSbGrQrWXp3AkKQLfWQGfhTTeukwDmJ7D9sP8BJQZx4OLnAnYp5dMbCzSOhwTjzG4OOp1ntz/CkZpb5VnKqLbOoy7pFs3ihaLb6c/HYN5nm5jVzICka638gk/HU+wf36afamsBjB373+de4vPwPEQm0yMhosYWVab7IG3x5+Wt8889/lhMG7LLF+Y+P+a82/z0+xe/xiRe+w7edV/FJ+RpfxkHxBi/yGt8ipM/r1z/Op65/myPW2eEKBQ7/xqt/n6+tfoECh+OPBuxwlf+Jv2gdTtMXOWyt0SLjt8afJ3l9lf/3CyH8p4ALP/j0vzLPZ/wGFjBiIBDss8nv8BlGDHibj9i8xRHzfMmqJdAmqsHbGkc8e3MPZmC2IAtkXZ9YyVCb2YmL7GBlZHPWtA9qi8so5aCKKl+JRz8+CED+lJpmbgoW5oa9kz69lRTpgJTW8bMbZLi5YkNJrvVcfOmQKIco9gn2c77zzhYXejPWV2YcHPdwpOa9SR8JHCQBF7sRQeFw8KMu55anJJnHOLY3tVrdQ+7dW0EjiI48wmnAd0569F3NQSqIlIMjDLePWxylBl/6/LP8TSSSzegGkTIcJ4r7+YwjbmFQrIgtZoXgzrRHoiVHmUNc2JxFtQCqlDF4shpTQtvPWdpIkJ4hm1lJvFa2VrGo6xVl7Wq9eHmYg8HHD9SoiBVDKQpjfi/eUA+z7DymrFc081sFBQot/jkAi1WrQMfe3h6XLl3CdV08zyNNbVV19X51dRVjTF2buLOzQxzHpGnKcDjE93329/fZ29vDcRyklGxubnLhwgXu3buH4zjkec7bb7/N9vY2Ozs7RFFUgzHXdTk+PmZ5eZn9/X2yLKPb7XL37l3W19e5efMmBwcH+L7P+++/T1EUNcicTqd4nke32yUMQw4ODgDqLMeiKFALEr6mi6nnefR6vXo7Fg1tmu8fJkF9khrGD1r+g2SvwKlt+rCjMz7MprWhUIbi5j28a9etsYvfslJSsJJO38e/sApKo7MCOZlQvPE2Kkzw4gRz7x6i1SLd2We0c4zr2rtNvasz/KtbpD+6Q+sVB7KM6Ftv0XnpEubNNzDhFKM0UinwPGb7IZ1Csbs7I80m9Hoet45jNts+0VtHvBfndB3Jj+6GZMZmNB4Xiv1M0ZaCgSuZjFPcW4cAqJllxwtjaORdl1GJ9laYMQbR8q2pzf/P3JvHWpLd932fc2q929t7nx72bBp6zGUkjUWFckKGkqNAlh1kcWwDhoMAAQI4CJAASRAgi4Eg/zgwECBIDAdwECE2YOiPIJAUyZJhOVSiUKY0sSiRGnLI6Zme6e7X771+y33vbrWdc/LHr07duvXu6xmSQ0qncfvWrf1W1at7PvX9/b6/qqqNbZyU6fCGNs4twXEdLPphD4rda2rtYyy3OrwCiO3rs7V6ljc7P+5P3hUlsGHqshPPPRIoi+oyE7D8vHMq81ahKJEP7omyl6dwdEPy/A5vynqCSkDv+hHcOoDHdyTsswzh7U9KDcMH9wQQrRYVL6wE8jYvJJS1iKWMxqM7kof43gtishMX8O4LEio6HYiKOB3KPg5qR9One7LvWSpQVdV5h8svvVQVnZJlhxOBwjCnCcG1uhWSq5bDl0xn1PJ9LSxeoQCvDHfgsKmh2FqfVasvP+5PWlMWtHFERxHutiIODHFYUeTiUKQDg4kCim2LsgGqUlTzkLMP9kgyRZknTJ8mEDvio4D+ocOGorgtrkfk1w3pk5AscFBqhu9EzO5Yjh9uEcyF6idGoULHcAzFhmJwaAkKRzHQjB7mLK5FRO8pgsfHkCZs3o8JSktwUaAncxhfoJIEvdEjnjiq49pYLgcc6HIZggqrII+TUNvNQUZpAuLAyG3KqQYYPSi67lOCZoXLFa+tf7jmNtUGyjYIrgdG15yrlV7bn8SWAVP4Zf4ifyn4P+ECtjbPORyIpemICVuM+TxfoSBhyoj7vMT/fP3f5yF3OeQGvxH8LHsc86v8HP/07Z9Hb80IQsPP7f4qf5Ff4Rf5y/SYM2ab/4b/ir/O3+fv7vw7POCFJhdwxISvHn6OT9/4Ouf/4CbnBzcl1PV/BH4e/uCdn4RHfwjcgf9yV8JKvwEcz4HfBa7DwWsc/MGL/OZnfwaAfW4LTI3lOzatLp8RYjAEbDHm1fxtGADnEoKaJ3FjaGMIyUmakNQuEHrl0Y/vqoXr4LGd51jVy5hKXlTqMhjC1eP+hDXjHKWFty9GvOROCBJLnBgWmYTWxqEhDQ3P93OMSymsZjxP+ed/tMd5GTCrQt4936AXGL4z7fHtC00cyK3+lSLk1dGMb5wP+VxgyauQLx9t8tnNBdm7NxgXMcZJLmAcGB4vFNdTzTsXhkVl2U4CvjE/5l60zZuFYj/7feJwxO+Nb7Eg41QfcOH2mWSPicIB8+SCpxm8O5Mf7UklamphDUUrXFMjNau1kvi1NDBsbi4wpSJIHFhVw+LyHmWsrkNR6y5TOzS+HvagaDs/fOsUx9WulFq59cj63RIcff/ctTXlWlj6YSuL3RDGdvO5iOveuwXlu8t4WLLWcnBwQJ7nRFFEGIaEYchisSAIguZg7OzsNKY0i8WC/f19Dg8PGQwGVFXFkydPODg4oNfrMR6PefXVV3n48CHD4ZDT01NmsxkXFxe88847DVB6F9PZbMZsNuPx48ecnp42JTH89s/Pz9FaN0okCAx6p1MfNurrPCqlyLKsMd9pm+B4h9Y4jpt3P+4qGHwWNLZzSNepg9351qmFV533dcPt1i2d8VFbOyS1axYoIaeuDpio7dNrG/Vu1OSliEmFREMqx/zdIzYXc0hSAaYoEhUwDJtOQHx7R1aSZZhJxtn9Y4IHJ/Q2UlxR8ejRlEfTjL4OOKkqPjMpib51yMYoJj46ohrPmZ7Nqd58Fx1qlNZUeclmHFKN50wmBQ8eTnhaVlTOcXAxJ9ZykzqrDIFSWOcY1w8TLoxlbhyhUpQOKgdFbqjGczGRmJdkuYSgSiiJIlCSbhKFCt2L0EkoVtVhKJDsHHWPq3WQW5DYdkNdpbvmADvX3Jn83Qps69oytpnHK4lrz/sVPNpu36sItBLCWHdGm+3WUWs+J7H9vlJXt7Vck7/olmB0cFMAMSoF3MIKFqkobf43YOdUliliAcX92wJ2g5kA2ZNbsp7eQpTGV9+Gh8+LYnm6I5B5sQHvvCzwqK2sK6xk2mwIj5+TeatAFMmgzjU735D5nZJ8SZA8Re90aoJlXcXZUPYzq2tFVrUy6FXTwEBUCXhGZV3j0crwVTDYzl20anU+P75dLqOdgrYy3zq18ArgWwek3d/fS6UzPmpr/S1cKoVRh1+r+s+ruXZ8sk+zDlaH3XI5LPQOFfMiIu1XxKEhCC1FFqKCJZjk2zW1l5owU/SfOOyRphqISczgiWXwOKcahCQnGad/eoh9GFAOoTiLCOeK6MIxyjUu0DgNQQGTMJRpU8fokSF9mqMqy8bxBBcGKLNBeLaQ2CvniM8leE/PMlRe4oIAV1WoyqILiOr83CCDMF8qi03upQYbKmwENgQXO8LAkoYShupfq4dLTr5r038DdPXF01xUHVVwZd7VENS1cFk31T1n3XHfc/PhqOpqs5p1r+58YWcZH5qawa/kf4HT2yk7pxnpOYwGEx7yPP1afQP4PF9pTGkecpd/9Pa/wT8a/hwv3rnPhBFP/5fn4RfAvjzAfhl+6e/9VX5p769y7bMf8BV+ivu8xHfuf4a//dx/Qi+Zk1BwMttlOJhwn5exXxvwB1/+Sfh1BO7euQBGkCn4ZyDhuJWY6wAcO+CwHj+RZQ7gnc++TEDFweNWCGpdV7J5bcEuJ2wxZo9j+jMLp3JMTLgKc21AzEkahbFqKYNVrVB21cJl+OlyvqIVgtotrbHS1rmeriuf8T006QkYHBpb+6C2p1ksCotWCutsXXheraQPtS9tMb4Bah8IA7w9CfmZWUA/tQKMoWGySIjqMFSAu70crRzzKuS8DPjmueY7OmEngdzA2+eGt4snbLoRj/Ujvpi/ytfONthN4NF0wGkRcZTBV6oekZZb6MJArC2nRchJ5vjGWcEH7oBSFRxN3ybQCab6FEe8j1YhzlmO9BMApvaIwkzRKsKYgoqcReU4LSQ8dFLCrJSyHKbWpUM0gdIkWtMLIA0s/dCgI0vYs82Dqy4M+pB54zTGrZrbyC1H4NO0gLHpA3sIrNOqKifnp+lyXXneV89Z+923dSVX2u2PXVls5yi237vz+HfnHOPxmMPDwyZvL0kSiqJozGs8lPgSFF7J6/clFj4IAq5du0ZRFE1u4ZMnT9jY2ODk5KSBtdls1pTNqKqKKIp4+vQp77//PhcXF+zv73N8fNwofP1+v1EUfQ6lnxbHMXEcNzDo3Vzbwz730RjT7LvPs4xq05LNzU3SNG1gc125DGAlJLV97K4KE/XLfJT5usPt8/QsoPxhKIv+N73pj9X9gvYV5RUrUM3w6WnGxsMPxODFOQkTzTLJRSxLIYGgNqhRCp1EDDYSwpE82beh5sbNPvkHhrOy4qSseHgyZyuJOD7OuGc/QGvFZFpyepoTRpqqtESxJnn/mMffPmZ8UfB+XnB/UZJoAcM9HfBBXjIKNFuhJtWKWAlA9rWiHwcUtXIYKqjq/D6tFcY4JrMS45Y5BdKfVvR6ITqpnVp3d6E/FGVxMbusJnow9I6o/jw2MNj97GmcGgZZgcaVefyl0oZJ36Gme/3Vs7bO5Q9FWWxBZfPuHVE788ASVsZbUkcxqZW1JBPwKuocRl3/AviSHVEJg6nkDwIEkeQxFvEyt/DJLQkZPdlZwtpsUJfNKEUdjEpRAt+/J8vt3xbDGp8r2Z/XimJe13OsZFmnBPLiYgmDgVnWiwyMwONssFQvtV12tNNMto0Tx9U0k2WLpFMuo14f9bCp1cb2sfOXRRcUYTXUdAUQWZ2vOx11eZ3NjaHNdVeA5sfZlL/2mx2neYC1nKceD808ydjx9GhI/7kS6xRpXFKWAbaolQkFBA6n5aTYyFEOFVVdIsUFML+mCYqYeFyhxzOG+wn5ZkB6ipwILfmR6dhiQwFMEymKkWb0gSO5MAzen6KeHKOiSHY86hM9GePSBNdPIQqxcQDWodIIl0ao0oCxuFCjjaufvtSK6cyijOQsurjOVVSKKhVYREGwUTBMckoTsCijxihCymXoWlGUDhpmFRbVpYuqA4BdKGydl2Y660NNl9tonVf4mIDxI7aPCo4dter8yzf5tZ/98/y1nf8dQriRH3GS7HHCLhNGdTH6OTEFIYYtxjz36ncaE5k+cyb/1pDsYEfA7kEJfy+Cn4Snv/48f+c/+hvESQHfUJx/+SbnWwjE7cFv/ms/w+/80pdkub8LjL+K2LOWwGvw23MI+8DLgII9avhTwAuQvQA4Ma6ZQpHH9JIKpqmoj7V62pTPCIF7sMWYAMPrfA31ATAAdx2KNGoMfvK6ZIYHRR+SCtANO10FwMtmOB4MuwDZrKsKsFXw3amJPwRl0Wc5+rxFhTiitp/COye/wYHyfS3Hk7njweEOPzJ4irOQ9kuyImJRhBRG1hdpR6gcWkGqLTuJZjOSP5hQwQujgMXZHodmwql5n29Nb3Mj6vNo5jAuJVBwlluezB2xVhTWkQaKd5OE3z91HGUFf8RbHCz+kDBIcVgGus/79mv09Da9aIdI9UndEENJqjdJ403KaI5xJSEJpRVg0woqC2dFSYWlVAWB69W2QIphpOlpi8JxYzgjGVlsqSgytWJqIy+BR+M0pdFU9T3Kg6IHy2WI6rKWog9NbXejXOsctLpSyzBUmq4YDne529UCxh+6svi9trbK2FWg2sqjD0V97733uHHjBoPBAIB+v984myqlGhdRX9twd3eXwWDQmNVYa7l37x4PHz5kNBpxenrahIa+9dZbjUqotW7qJoZhyGQyYTqdkuc5aZry3HPPNUY7Hg69w6kveTGdTpsajGVZNt/Du7oaY8iyrIFdD8u+RuVgMCBJEpIkab5vr9drQlfbeYrrhtsq4lX5hr6tm++jQOSzlMw/ruZvXnbNM5P2bjkrkJX94X16d58XB1NAjUZSa3E2EyObMJSXMagkJLmzTbjVR/X7UFX0q4rNT5fM3nrM1rsXHBUlI2MZl4az75wR1v0PjaJ0joW1xEpx8eY+58aQW0dfaz4zSCicwzhHoBRR/VLIfbqvNeeVYTcSN8DC2eY7lYVY3dvKslhU5FbWo+pjoJCb32gUE/Rjgl6M2qiL8g1HcDQFa6RcRruuogdHP6zUEhT9u1ehnVvWUfQKor8W2p/9Xa+ed8mRrWvKLI153Mq/1b7cD6u1VcbuNVX3fQGa/Lf3XoAbR6IUgoBaloqKqOzSRdRqAbbdU5k3zWhKStx7AA/vSp7j6c4yNPSt12qVUAm0VWFthFPK9OlQylukGTz3UECyCmSbXunECaymmczvazCW9S+D07WrqxM4zNIadgNWVBltBXSTHJJi+X17WR26qpflMhpArF8+f7El+AgQdqCwrQS2VcW2Etmd95Iq6WF1HWC2Xz/MZmvaXieHti5w5QSseu9HzK9HbPW8q3bBNOujsgC0wwWusYC2IeTbjqrvsKlFGYUyiunzmsHjhI3Na6RPc/QwID6vSMYVNlSNwYwuLcGiwsYBySQkujAEucH0I3j5Nrow0pMKNTbSuEjjVF/EsF5AdFFS7vZR1qEKW38Phy4BhRjgZOKWqozst6tvdC6AcqiwicPGjkFf0k220gWPzzebmmUrdRWtkpuFL5mhWqDoAKtWYG95oSxf6opXGxyVc6vQuKJCLntkH15v8QfQPswIpz08hb/D3+Dnbv8qO9/KGGC5d/0B+9zmIXeJyenXxSNy4iY09SXuc5t9KSex2Wf8X2zxv5m/zul/e0cUwk8Bb8L5X7kpMOcNZsaIKc0e/M6bX5L8wwPgHhB+TsJMp8gyW32poRiqBvT4GvBFBASPoVFdjyEIDYu8L+s/qNfTrk2Zgn59xg0O2eWYl3hHjsN7MH9ekwcChe26in54QZ+cuAlhXaqFCV1VEVbzEruQ2B4HiFFVGxbbeYnPev0Qm0QmeVOXy9P8TdM6KK3jd082uHfjlN6O9HeHw4zpyQbnRUyoHZESx2XjFGlgeb4v5S1GYUXpNKVVvLEd8AfnO1w7+Zf5wB6zY3scmRmHTyEmaAxmciom6pzU9TnONjm2U2ZqzogdNno/TaamlOREJCSuR+xSKUHvNBv0eKrG3LYvUVGRqbk8ZMOSG1eb5Egu5tyWlJQop9FI3epAKXZTxSC09APLxkjSl6ItyB/W+YnVal1F42S4rIe1ogFFh6KyakX0aJxT8eO90qgaIGyDpD8PbWC0zmEsrdBT34+SRwIOg/1+3FB/EO1ZCuJV83aHAfb39zk6OuLOnTtEUYQxhsFgQJ7nFEWBc67JZUxTeay6ubnJ1tZWE55aVRW7u7vcu3ePg4MDLi4u2N3dBSCKogYCvXoZxzG9Xg+lFIvFgvl8zmQyoSgK1jW/jX6/T6/Xa9RAoKkVmaZpo4oCDdy2w1A3NsTrfjQasbW1hXOuAd4uGHp4bH/+KADYBT1/zLvn4yog7BrYrNvuD6L5JytOXY7oWjt/6zqybtVa+Ol7Z9x99BD1UgJxClUJGxuSv1gUsqEsA+cI+hLLrnZ3xbxGKchzdFEwunWDz372mMU7h8xP51wrpZMUR5qqcpSlHI80DUiSQMpdKKimOdNZycV5QV7IH27X1TavS2CMwoB+oKmso6gdOXJrCSNNMEiwWdmso3KOSKvGtSvUit527bS3tQXXbwkAFsUqEHpjGz+uW1+xC4rW4kNLcXW4qXeh8aGo9vI1JdfIZXMba5fmNs25rl/GeWT8ATRFoxw69eEKQXue7vz7d6SsxZ1SylqYQEAqT8Rd1CkBOpQY0YCoclvjZXhqFUhZjHsPJCT1YkO95aVzAAAgAElEQVQ+gyh53hvBKYG1uJCwVeUESud9gcci9ju8+l2LSECyPxO4M4GMAwHFoBKY9KooCPSFlYCmD0PdEOd6RhdSDsTnY3ootKoGRrWERxN0II9VULw0rTN/W9Ftn48mNJVVUGwcUD0jtA1xND+oK6rJaXMNdDz7RtU4o7KEaN8GTxzHT4cktwxJWFEFmqhfUBYaVSqBo1rhtYl05OxGRbqZo5SjLEKsUVzsBEyfD+kd9YkuINiV+4iJFLpyUtfQgUlibKyoeoAKCRYQzR3xREpdwOr+KQdBblGVoxxFmJ5GGYeu5w1yUSxNCrqgWYeqLC7SkkutwQWKsg6PtkPD7Y0LjNPkJpSOkTe2sVoiEbyi2K2t2AVF68/H6udLqmK7+emWVUh0CAi71t99A5iuduF65qn+3tqzFMSr5g/XDAO/8/9+id/4qZ/lr1z/JdQJjAZTXh68wxHXOasL1x+ziyHkBocA/Ci/z4/zJgGGE/aYMOJfDP4f3vybb/Arf/Mv8I3Hn4afr+XsvQzG6dKZ9DnH8OYxdwcPCTA8zO9y/q2bEmZ6UO9UVxE9QJb/FAKNU2pYrKdtwe1gn+Ngl3O/jik1bCKgOoTXbrwFwGu8xc5vZTJ+E0wYNIAoYJis1FjM6xzG1bDSpFEeuwCZr+Q5LpVE3/y4Io8vm9u0QbF7rn+A5jYWg1Ia7Uwdovrs1o6E8ClCvn3zHN4/3Oal9JgoddjSstVfMCsjMhNggYWRh93DujzFzd6CG5tTlHZkeURRBTw/jHhju8e3Jrc4yhR3jTzITwMoLBRG9LBBuEU/hI3IodjmotxhXMBxJjmLsCKI4hzMbUXhKnbdJqMgpnSWzEqtmLnLiQPFMJRajQsj6yhVSeISNIoQTaQ0e4n8gV9LM0bPlTgDNncSgmoEEMXYRqCxMroBRSkrchkUTa0qesXROJnWDc5aOR9Q53G3grjq72pcR2V0S2g0ynyoEyr8EGDxWYrhVc0Dhs/764apeiXuvffeY3Nzs1Hb0jRle3ub+XzewJRXB70Tar/fb4rb53l+Cdq01gyHQ0ajEWEYUhRFA50eSk9PT5nP58zn88Y4x6uGfp1+nA+D9cCaJAnWWvI8b1xU/b74MiBRFDWq4tbWFpubm806NjdFBTo8PFxRET3UelDsmuR0j203/PS7VRLb4a7tUFc/rv3envZxNOf35yOWdpFlXPNERrmlMIaiPm6WRebIvn6fdHcX5dXF/gB3/bqUuCjLBowIAoK9PdjZQY02RXEsC1jMcXmOCkP6/T79LJNpGxuwtYWKIlyeLw104lgg7OgIczEjOV+wNckw8xxrHUVhyQtDnhuyzGCtqIRxoOj3Q1ETS4u1jrBUJHGACjSmNOKEWh/3WKlaXVTsbKfE1zfRaSSOrzvXZF8+eBfKooY+uww5rarl69KBdSug6O9GDSh2VUU/3H70Zfz15lfpMPayuY3fXHvTH5cI9CzF8KpW9z9FxFHLTr1/NyFkAbz3ogDgoN7ZNBNX03l/qR56ddA7ofbnAmlVJGBZ5gJkHtq0kXIZowtRCot4aaATlQJFp7uyjXm/Ns5JatUwEkAt4+U4VS+XLgAFSQ15uRGl0CuXeasMSFQuVcWtsXzHqJR93KzLjB7eaDmf1g/Q26Bo1vVI1iiFcBkUu3mObcWxDZv+/PrQ12Z9nXeQ5T62zr2/2XwXF5VyMn+zH4r6QheAUQbCTNTFi42UYV/UxTQtYVNRLiIJR/XhTcpiNy29Uc6wlxMFhqIKWRQRZRxQBo5ZGqALjQscrm+IhwVhaCiLkKqQE6QjizMKdxYTzDXhQpFlSlxNbW1OU0huY5g7lJUUChsryp4ArE4ErFygMHWoqa4EFnX9QM3EWlRFrci2NMWGw4YOnVbcHUi9mG+c3qQyuoZE6ZBhFc6D4ro44nWwR+dzA3nLzyuKY3fZlXE18LZjxtrn9ONo34uq1IWObkmNKfAA/s5P/Qf86M7XeCl4H4Bb7PMTfJUHvMCEUZNvF1Pw47zJp/k6nzh6CjN4fvMphzubjNmiz5zb7HNyZ5fenTkvc5/XeIvRnQnH7HKElJHaYsycPl/h8zxI7vHgs/d4+Nm7HJobFFnM9HgLDiIBwUc05T7YQ6JSvYFNhqiQNyEmZzobLcGSen4Pi1+E1/kaW4y5zZNlDuS/DZNgRI6Y28zpU9Tv8uqUMGEJe21QBFqguKoqdt+bZb25jT8/60Cx/d4+jx9Dc85ildRaDD7iSi2ucSdWSPkMV9+jnJOH05MSfvd0k+sbM0abco/q9wtuuQkXi5TCBFRWglsDZbk1qNjbmNHfKAgiR68oyGcR/aIk0oZRWDE3AZF2bCc5u8M5UVSR5RHzXJ5gplFFaTSPJkPGZcRZEXAx0MyqAOMgMzCvHIvKMascxgVoFKkO2IgDrAsobIixjsgE9EJFqARK55Vtaiv2iGtVUXOrH3IrNaSBZZgURHeknz/7o5yy1FjjATGo1cSA0gosXjqujhVQ9LcSD4py61mqis6/t7tSbnnLknW6Bh6b/rl/b/3QWfXhjwf+2MJQuyY3V6mMHhI9/HiDGK01jx49Ynt7mxdffLExfhkMBiilmnDPKIqw1jbKYJIkBEFAkiSkacr5+XmzrDfN6ff7XLt2jY2NDZRSjZOpVyu11pyfnxOGIUmSkOc5eZ4znU4baMuyrNlPv20PhmVZNqG1HhyNMU1epM9zBFETPeCen59zfn7OnTt3OD09bRRFD8ZteOxC3lXhp+sUwvZyVymT/hx2p3VB8YfpgCp/JEuTmy5KNH2uGkxk1xSBhqpyBBqO3jnh7q1vw59+DZX2pHTGxqaAqVeQ4xisRaUppD3o9cUUx1noD1EnR7iyhO1tUSLjGEYj1O3nYecaSisYn8LkQpZZzHFBQBCfoOMQ008EFuc5drygrCxRqFk4g0HU0DQNiKOAIFQUhaUsBSSDUOOMldqKxmKcxPRHamnDvLkZE27Kd+P0FE6fwr1XIXks0FdVAsbtkhleUfQHsmtw49XE9mOvlsLYqIqdR2PN9eP8gwzq0FO3fLfLUNT20zF/zn+QrWtyc0llVLITrp5el5xrDGK0hUfPCRy++K7kCQZGQjaVE3ADgSyrl8pgkgssJoXA1/lmbRpTiVtqVIoSeO1Y4FK5pZOpUwKB2slyYSXryxN5TYe1EllJiKipcx+TXGojaiOQWkY0uYpWy7ImFOCLyjrPsf6+o0kNuEZMdM434M5jCZv1+Y1VKMDn1cXGlIalmNMNJW2ril2FkCumtyHS50V2lcomZ1K13tvn9AfYLpncdLfn/Hz1hWVlpNMKXZsTDR47zrb6LO5Zkqgi1JZBP2emXNP5DEKDs5o4KUmiikFckAQVLiookoCnk6GEcQYWmweoyJL0Su7ujnluMEbjeLLY4Czr4ZwY68w1VFGECzUmUQS5ErOaqaiRNgQyhzLgAqgShY0UNoCgBF2yUg4j8MY2xmHjAOdj9YFipDA9K2G1FzEPZ1v8C7vv8U64x9hqTG1HvwKJLVVwJfy0m6dYq4qqPt5LQ5vOfKwHSF9TsQ2Mauk+8UxDnI+9fZjK2IZDDyQgAFXn9P32b/05/t4X/j3+w83/gb38hP4s4+XwPmFiOEMenG4zJieRMM7ZKewD56BCuDk4h9fFPKbHgiOus8WYezzgla8+gjfhTnUKn/4OvAIEcHo7JSHn93mdEROuc8RRcJ3DwQ3ern6EbLwjyuADlkY1zyEAOESUxWMaYCxImD66tnRB3UOWr0Fr840D7vEefRZ8jdf5whu/C78A/DTkd0VFnDCS0NqWurjO9bQLfuvCTdvQ2H5v5jMBlc9XzNQSFLvv6x4S/IDDUG3H5IYOSLQf3jqgqscESlFaCJTjG2PFc4d7vBEekqQVQejY2MjQypHXeQ5JVGGsppcWJKkhHlp0AqFzJKOciwPoVQFhMGdeRCShYaOfsffCnOh2DLqkOpxRnIJzimIWEGhLOh0Q65hhFTCtNDOjOMkVuVLEAUxLS+UsgVIMIk0aKEINuVFkxmJcQKQVlXPMSiispaSk51Jiteyf76WKragi0pbDWZ97j8fEP7pH+G6GPRFFsawEECujl6Y2PjeRparYzVNc5jEuYbC63L1q1tEtmWGcVxklFUnGuRoyV51QZV/+mMJQfSfwWaGm3eldFXGdutgezvOc9957j8FgwPb2dgOC3gzGh48651ZcRP06wzBkOBw2qmAYhk2o6GQyafIQPQjled7kRfoQ0zY4lWXZgGBRFGRZxmg0Ik3Txs00z/Nm/73COZvNGlWzXQ6j3++zvb3dAGscx4zHY65fv87Nmze5uLhoTG78a50a+CxQXFf24lmA2J2+Tm38QYWcSvy15PE9a552aKl/6OvUsm/mH/hDDSF13Lhzjiw3jP/gIdsbI9z16wKEUYyKpRA1zqF88fqkt3QRrR0AiWKp1+jDOr1ymGUwPhH1MYrBGukxZgvcfCZ5kXmOLZdQ5oyjLAxlYTHWkZeGhbFsxiG9NJQQ1kijtRStdRbCQOEKw2RaUjiHUjSgaBwMkoDk5iYoRXU2JehFqKMncPsT8PzLqNOnYuzTDkVdkfhaoLguT7GGw7ZK2CzXvl68C6r/rh4I3VJRXFEbWQ5/nM1DxbNCTf21s/K5Vq+U7aiLnXV6cHvvBQk/3T5bgmBULtfnTXDionYWLQT2nBLYG06WqmA4q0NFE5jU4BdWSxDK42VepA9jbdS0eh0eBIt63tFEoDQuZNt5utz/wMg2Zn0JT9WuNsupw0v7c/leygmIxgWMt+H6U7h5IGGzRSyA59XEtmK4Lvy0C4o2WJ2/fe4uqZB+OpfX42HST/+BgKH19PGMlbtVSmzMbOrRytKoix5o/EMJnKh3w/c154M+5WZBnJSEgSWK6h98p0gScQ1NopIosPTCklCLI2ESVpT9gFOrqMoAHTisVVRlyPF0QF6FEuJam8gsiogsizCLAFVoyX30MOWVxRoEg8IRLAzFZigGNTHYSEk+pXeEDUBVYqSjC/mSNlINfJUDRbElxyKcaWzk2L/YYLqV8GM7D/nH009SlvHSzMY8AxTX5Cl6lbGtErbPw1qVkWV46TKX0XWmux+usY1vXXjowuM6pao97RH8T+d/g5c23+Fzye9yIzlkZKR8hswecJ0jDAG75+dEM8RF1Ct+5wKM+SsxY7YYMWFOjxN2uf36PoNNC+dAAgRwcSPiSZ0XecIec/otdS4mO95eguABAoxvICGoNyHau6BMN5b7P4QJo7qsRr1PHhQz4JPwueSrhBje5kfY44TTL6Ts/EoG/xBGr085Ya8JQ/X748thfFieoh/fnt+/d6HSAyNQh6AGl6Gwe54+5madRSlLFwJX5mE1P7FrcmOda9RFXYON8r+FTtxDf+80YSfe5vbGlF5aEEWWOK7qfVCkvRJnFUmvQkcO3VOosH4Qk8CwLLBWoYuQODRURpMVIfOjkCQvCBJwFTinKecB83nMJEuYVyGlXebweWUxN6K0zY1h4nKuBX2GkaYfKJIAZgoUGusgUlBYxWluyWyFRpMgVQgqLFthzJ2eRSvHcR7TDw2TRxG7nyxIPz0iPMrJplEThlo2tRX98VyC4ro8RR9+6k1vvLt2W1Vsw6S/7bShsfUcf8UFteuE+lHaR4bFLtS1X+vKMFzVPFB4t8/utK7a2J7fD/sQTeccZ2dn3L9/n1deeYWtra1GwQMwxlCWJb1ejzAMG2D05jVVVTUhrD501ecL+rxEH/I6m80oy5Isy5jP583+elXP50F6hXE6nUoYYp2vmKbpiktrWZYYY5jP500IqodFD33D4ZDt7W3CMOTo6IibN2+yWCyYTqfcvn2bvb09Pvjgg2Zf1kFdW+HrguRVZTG66uQ6oPTDz1KEu2Gp3euibcfcJOKyhD0Ph/JHcXXnSx68u7rezep46XDLOuTP0oOTq8MnEOVKicLonOPkJCP55/fp/5kAt7cne+lLu1QVrihQg6FAX5pKIXtfYqMsYGNLlpmc48oCNdoQgxylYDaBqhTjnIsLAcr5HHMujiDOOGwlroEoyHNLlldM5hUXlWEQaPr9kMEgIulH9fEvCLSiKC2VcSymOVlmqKwjRFRFgwDXxigiubUFUUT2/kN6L11Hzaaoi1PU85/E3X4e3v4j+a5eTWyrw21F0eeptsxsvIroPze5isYup7UD61lyqB++qo/dNbfx49qt3VHrQse6MgxXNasALSrbSuevFnoatVFGLee3y2EfoukUnG3B/Zfgle9IyGZM7YaKwFMZSr5gWC3LTnjzmiqEQe2QOh/UcFjWTqRIOQ5Tm9vMBgKCWSrhpyAgVdUhnD4PMk9EiZwOob8Q4OvNBRh96QhtZV0mkHXlqWxbG9m+h77hVGAxLCU/8+aBgOp0ALefwN4xfPD88rh2j70HxUYFbIMkl0GxrRg2eYatZf187evgqg78yvrWLCvnvH1TEZpxTqHqcHQPh8q6OqLhimbl594FamWdojS65kmDz1dULUVRIErm8Z/TM4t5L2T6IqhNB3GF1v6eqynLgH5aEIeGflQSa0McVFinyEzEXk/uORdZQlUFRKFBKymiPckSzmyPPIso5xGUGpVrooW/OUtIrKoV0qAQlTCeWqJJRdUPqHqKqq8wqT+mCqcdQSnLhvNaWSwtNlCiKtahA8VQU2xZXOhIjzWL65AtYh4vtviXtr/N29s3+NbiRr0va/6Y29DnFcA2ENolqq/kKrYUw/ayzTpb67/y/lED5NXg+KwaGBGScBqxSnRrNuZBaLhmld1Vt8plkLaGw+Xn7J/s8N//m/8x/zl/ix/nTQggRqJpFvQZs8Xd2SOiC6RyxRSY1evYBL4Jn+Apo1cmTBjxshkTVIagssxe0MyTPvvc4j4vM2aLfW7zgHsAjeNoTkKAgQMl4affQExtXpaX/uSM2zf2CTDsgwBjbYrz/uN7y5IZQwQWvTr3OvwEX2XEhN/kZ/gL/AoPucvOp74DvwDX/vGUB/8Kzb5crqm4LJnRVgzlMC8B0s9rWvP6aVWjNnpQbKHYs0JLr4LIVlNqGdbosDhnm3elNM5JuQxfNkMup+jSphyWSlVEdYimbx4uvMmNQvpPPqTRQyP1712gpJTZ45nld05G/FnluKkcUKLr+lOV0RR5yGBYEMSWcODQsULFWh4eZ454DzbIWYwNZRkQxwal5SF4fh5SVZr5PGY875FVAZMyYlyrlsYpSic5gQrq8FPLaV5y7CZsMWAjCtiKFcNw2e8MlSIzUo5sXCxDUCNCYhVinNjD7KQBz/VyYm15dxby6sgynSVsHc4Jf/Q5tl54n+nX03pfdAOGzTFtFEVWymTUh7EGRT/vEvqMg8qpZTesM9/yXH5YX8o2/2Sbz44C/KjpOd9VW6dUtd+7830/27HW8ujRIz744IOmPiJAHMeN2qeUamolehD0YAYCb77Yfb/fbxRKYwyTyYTT01POz885Ozvj4kKScXxJC6ABSF+GY7FY0O/3GQ6HDAYDhsMhw+GwAVa/33meM5/Pm5BZX27DOUeapty9e5c0TbHWcnZ21nyf8/NziqLg9u3b9Hq9Rs1c9/LH6SpF8cNMbz4s5LQNpOvO/zrg/F6abb2vPIFp/YI3T1O+560gdRet4/H7Y7K3HsDhIc6f8zQVgMpzULU7alNOQ4MOBCBBxiUJanMHhhsSqhpGAopnZ3B4CCcnmKMTyuM6wUsrgqEknplpTjnJGJ/nnM9KpkZAcSMNGQ0jehsp0VYfFQfEqeQuWuPIsorZrKIsRWHoBZqofgrY15obr+xJnqK1nD6d4yor3+f4CPIF6hOvooZDGeeNbXwOY9vcxp/bVvipa8CwfvfztKGxrSa69nzt63TNvaL17oGxG5L6XZ/rNhyozrtvHbXqe92ODeDRHYGm0x1R6UDA0Kql46ivlajrTquunUtBIC4qBc7681qhNAKKk6Gs93xTwPRio959JwAIS4C82JD5F30BxeFUYHQ4k1dYSTiqV+zyRJbzIbNpJnmSTsvw3YfybgM425H3MpRw1CKG2/tiuFPGNHmHbdObdi5h99UOG10XZupBs1FO1y3b+rxyXvTy/LSB8VkPET78ZC8flHgnzEuOmO3x32PzYZODx5beo5BynJDN5d4Tx0YcnqsApRyRtoTKEmqBwVBb0kB+c0JtSULD5mDBKM3pJwVhYKmsZj5NKMcJ+iIkPA+IJv4JN7VxDgS5QF9yYUkuDOHMUPUDilFAOVBUA6j64EIwMQ2ABbmY5ASlrMf0AmykUNZheprZcwqbWrCQnDqUBVNpHk23ODd9Pr/zLmla4gpvbUsNegrlP3sAdB0gdMuObVdFbDv8rhzrlXWwus6V8++XccsbVNeJ4rtq5XLwWSGJ368CVcPjd37xs/yv/Lt8hc/zDi8DElqakzBmi6BCADGvX6Z+P6/Xk8P2acYnHj5l492Swb4lncE86fMWr/EVPs/v8zpv8gZf59MABBhusw/APrd4MLsn5TTeBL6FgOLrwKfgpRvv8BL3GTFhd/d4Cb2PgG+lS9Obeyxh8R584Qu/zm32yUl49FuvMKfHmG34SeA68Atwl4ecsEtR5y5KGKqEolashpJ2lcJl/uLVDqir4azhMl+xbW6zTiHunuPv81z7EgneAXMZkGhb85hLYYrfbfPPhN8aW35/POLx+YjzqeR/JomEnxZliNIOHTtUiDjfKlCBQqVyv1GBI0wNw+2cdLMiHkgtw6rSnJ33eXw+4mDeY3+RclTnL2oFo9o4Z1JpzkvF0cLwNC8YuzlbDNiNE3YSzXYMO7El1o5+6EHNMSst54Ujq81tRiohUQEGy0gnfGbLMYpKjFM8mjtKq8nLkPxxBbOM+EevMejnLMqQyqrGBdU4JbDn3UxboNioio4ViOw6oPrbSztFuq0wymfnn1utnn/fJ8fhlK+7aZvr4qr2A89Z9DDxYeGowNp51imQ3eXCMOTx48copbh58yZBEDQKHYgrqQ9BraqqUR+9gU0Yhk1oaRAEKKWa3EIPm8PhsFEoq6piPp83amNZlo0yaYxpwNPnG/qyFz4n0bus+uNSlmUTpuoNdzY2Nrh16xZKKU5PT8nznMViwfHxMdZa7ty5Q7/f586dO5ycnDTHY11I6LpXe1r7WK5TAz/K/O22DkTb6/x+m3VLNfuqRyeu+f/y9Fr4Wb9cve4g0By/d8o1pUherHBhCFEkwASQLwQW056oiUlPADGKZVqcwPQCsoVAolJiHlMUoiYqBZubBIOKIIqgLHHTKdV4jl0U2LxkOquoKokkj5WA4sZmwmAQoQcxepBgiwqdRFQmo6wkXFUrQ+EkVzEONIWxhEqxuZmQvHwblKI4OCMvDGayIHzyRI7li59EjbbhxU/CwYE/IDTqoj9/zeclKC4BkmXHuOOA2sBhCxqdW+YrOiewvvaaqs9mw6cdhfH7bR4qnhk5WE9bpxb4WolXLucEsB7flvlualEPw1Jgj0rAyoegViHEpg75LGRaWC5DS4NKruMqFDDzsDmcQC9c1lyc92u1MRbYm/dlGRMswdPnGya5vKqwdln1eYa1IllGApFRKcOBkXzJW09k+um2hMAuenB8TZa781hyK+88gpPd5fFoh5eujOuAYBsim2PZ+twFzXXD6xxToQWRne19bHUWnasvqquvUuWcPG1es01Xf7f16673OVD0nzhQIdkNxSJwBIHFGQ1Y8jIiCiz9qCAzEUOdEypLLyqZlAlpWHKRJWRlQqituKWaQGo3loEcj4HB9hQEDoxCzzXhXKELhS4hnEveIRZsrClGAcWoVhVjMIlDVVIvURkkR7FWIHThsLHGxIqgcLhAkW8EZDcNKIjHug5r1ZiThEdum+NrQ+4kZ3zqxhO+evpiczya0FP/M1OHm3bzFFdgj+W0Jei1pq95XSql0Tkvy+XcJfD8vtuHgYKftq5nF14x3i8XAkP47a/+OYLPGf4iv0yfOSMmLGqTl5PNTW7OzkVZ3ASOECA7R6DrBPIXYLIzpJ/PCSrLZDBkzBZjtggxvMq3WfCQIROmjHiPF7jPS5ywx5htpt+6tjSv2UNA8Q249uoH3OCIGxwyYcg2Yw6mLOcNEVjcq1/H8n34SfjX+T8IMXyVn4ADeMhdvswXMZ8M+NLzvwPfhJv/4Bz+mhyONuTl1A9wL4WTXs5fXM4Xrnxuw2PVzVes1NXndR0kfoyhqV59tOrqfDUpm7E+ZFUrtaJArqzbSUBVpBXfPAfNgFetJgosUR1SCpAvQnTkCPsWlznUQKFCjUoVdlYR9BzuXLNYaMLQSleqFFUyr0K0gr00p7SaWBsKGzAuIk6LiLnRZEYUwsJajLOkxOzGCXu9gM0YBqFjGDoKq0gDR2nFZVUq+TgyW9EjIg0CMmOICLjei/hTGzO0gkeLhEXluKg071+McPcVr/7YHHVtxO5nKvb/L388lrUUjVcQ14EiNRx2FMP2c6f2c6j27amtQF71nKqdr7h8/xhLZ7Q7/V1464aidoe7833YdtrztGssrtsXP1wUBfv7+yuhq95YpigK4jhuwM6HmnqwAyllcXZ21iiTVVWt5AOmadqojUDz3uv1WCwWBEHA5uYmWZaRJAn9fp+dnR2iKKLX6+Gca0DTu5/6/fcQ6ZXDNE25efMmvV6Poih4+vRps+9nZ2dorVksFkRRxK1btzg8POTx48cr+9UGw3V1K9eFnXadVa+Cy3UqoT/mfvs+37QNiJf2AwkPxa3mGYIAoVaqeXqi63GW1VBT59Z3BJfbWO1vufX8WENL/QdsHVo7ssxw/N4pe1qR+O/R60GS4LIMlfQEBkEgMQjAlAKKAP0h7umBhJuCmMa08wH7fQHO2mXU1WpgOOphLjLCQLG9lbBYVCRpyHAQMrq1gY5DglEPrBNDnCIX19TaIto6R+kcsVIYY8mtpa81N5/bgMEAsu7gPRgAACAASURBVIzZ+yfkucUWFcXBmDgMYTbBxSnq+R+Bh+/i3r1PfVJXodG5Oix3eXPp1kz0YafOWDC2Ca117YB6f/7s0sSmfZ5MDY6mNU7V4OVb91S2waLbSeuGonaHV+brbGel+WVany3Sl75qX5wWEC5i2K+B0YOSN7UpSnkvY9ETwqouiK6X+Y1lJsrhTKLnqULJIzQ1AKaZQKg32vFuo72FQFxgxLU0S2W7/TnsnEBUyTxOyXarUGCzflDbhMNGRa0c1vUbbx7IckUMT6/X+x7C2baoooueLHPriTijPn6u3q81aqLuPEu65IaqV1/eWbUbVrxOcWzOU71df3ysEiBvb1p3z7v/LVvXX/IXZaMequWvdLuOj3Mop66+pOpf+2a6ozGCWTcf0OQ1hrmj/wScCshtIh2J2OFiRVEElJFmXtaOgYHkNuYmpB9KiOE8iTk6H7Io5b5lK4UrAqhrMrrE0JSlAFT9bnqOIJN6iNlmQJg5TKIo+5DvKCmP0ZMv5ULQuZjcBLl8CWUFMm2k0MahC4vpaeY3FS41UGrSp4qgsOhKwDEPIo6LIcMg56e27vP2teuMn9QyevNEaQmFTnfuEY5lDmi9jKiRcjyV4TIoshzXmNi0zkdTOsPfqHxI8ZWt3dvvhgKWSLfMv/v40c58V5nZrNsEXA2R7fl8iOoj+K3wXyX48aoBJalNeMIJu+wOzonqCGDO6+UGSA4jkD6Eh5/c4n7yEiSSS3jMbpMLeIt9+syZI+EVHkTv8pCH3BXA+7NInuJzwCcdP/HS/82QCXd5iCFkxFRyFI9ZltvIEHDcQ0Jk6/qNr/z5P2hUw984/1k4gCkjvsrn6DHnSy/8DpwAfx9+7i/9Gr+Y/GWAjkGNAF/Capm0ttoI1Kpk0rwv6tDaNmACtaoYQpZcPk9tgxs/rnveOp+dq5N1FHSrSvtK0x4LAgIBRCyBClbmsxiCKx6le8hoagmz7KetzOd/p6nTfRzMSvjmhUarXgNKg7CiH1XkeUhSVlRzWWucisroCovuydbijYrZfp+LSX2cq5BFGdbOoophXBFaTVWHj3i30c3QcFGGRApu9CKmZcAg0mzGiucHjkQ7NkIJso21I680uXHMTQUGDI6cilRFVNaxcCUjnfDKhmIjLllUIfenAYuqIrcBjxYJkXa8cnaE7sWEn73NJ771hG8/2quPh76kJgadjkpbJZRlVBN6ahxNaG2nK7Wa4dNZn6kfxlfOh5w6dOc8f2xuqOvg78OmXRV22C2j0f7cNbVpr+dZpjfWWmazGQcHB40y50FzNps1OZC9ntyY2jmCzjn6/T7WWqbTKRcXF01oJ0hIq89/9PAYBAE7OztkWUYcx+zu7jbhqGmakqYpW1tbDfBdXFyQpillWTaA6OHMq5k+V3Fra4uXX365CVM9ODhoymr4MNTJZEIcSwfgpZdeYjqdcnx83BxHvx1/bLoho1dNa0+/KlS1fU7a5/gqgLyq+TzFLigCzQPi7m3rqjV2511CocN5Kb/u4PsH/torYaimv6cUtbol32c6LQgfnLIdh0S7Q5QxAkoXF5JXpBUM6mJgZSGhqGkqKxhtoqyB8amEnvrQToAkWYa01kYyKgqIbu3iZnP0IGZjEDOY5swnOb1eSDBIiK9vEIz62EVOeTwhGKbYXM51YetiqzV8K5S4ZwE72yn9H38ZFgvcZMrjxzMqD5dZSXk0Jj4/haQnN6lPvQHnY9jfl4NSu8E2oaceBFvKolcVXWsarVxFV9/JmgcQrRBUuR5cc120z2MXIp/V1sHfh0276mFDt+JB+7NVcoy9yU1bvVI1PHqDmgZKEViZDaReYlBJbUKrZXg2oHFW7NXPIJocwULW0Z/LtqcjCSctwyV0xnmd/xgtjWQCAzunAodxDrt5HY46ENhLM9g6XwLfxYaMK+sakFVthGOVQKhimau4NYaX31mGqR7cpCmr4cNQJ0PZLsBL78p+H+8uwbCMl+elnYPYVQybaWq5P7SmdcNTfcjpiiLZPt+tzx+qJForJzVY82Pqp3Xp4KoLdY0Dl2T3KLAOpdXy3uWW0/Gg6W9gyqtm8gcezRz9Q3ChphxK6QobOMp5zLS+VjfqeOTMhITaMgwLrNPspHOMU4xnPRaTFFfq5kbrIiuQWImpDQZc4Ci3HTqT0hjZrpTQCGdgUslRLDYcpufQhSKaKEwq6iJOzHCUjzoIlNxHK7nus62A6YsVFJpgrhkcGKn3CKgSonPNk/kGo1C+y5ee+za/PPsM5jTBJxCrusZk43B6yeCGZd5iPU35p5Lt5fxwGx5Z3j9W7iNtsKQzfKm1QbDb2rmL7db8oF2e/arP63IWuzlv3VIa/vUN+KfDn2f06oTX+CYFMT3mvMPLBJuGV837qHfrdWwioaj7yMOUb8MrySP6L8z5Op/mjC2KGjp3OWnyH31pih4LPs9X2Oc2NzjkxquH7L96m0f3X2bn3j63g31e52sN8P0hn+Y2+4zZkn31RjgVArshAosV8EX4T/nbHHKdB7xA9gs7TVmNMVv8f7whtRuPZNzgv7a8/re+xpf5YlNVUWpN1nUR14SletXQA6JXI5fzrXFG7ZbMuOrcXXWeLzX/6P0y6Pn8RaU6oguGq/IWV9csvSuNbfwjvMmNq7esPfwoh6ZlUtmCmrPc8O2LgFgnXE9KTBkRact43kMpGOkFyWbdJ8mNhKL2I7SFeMexVS2YnsacnA/IqrCBzr43vjFialNaTaQtd/sFkzLitAwYDGFSKs6KgFEEw9BxK63YCCsWJuAwDxmFlsxKyk7mKkytvIVoNIrSyedb/Yif2pswK0PGRcx3zityK08SM6PYXyRUhwXRQH7Et7/Q48Yvz3h/vCG5nkpg1sOiqV+iOrKiKnpQtKja3VQ1zyKXeY6rCiMs+1Dt25DFdT5/d5F+P9TSGW3jmnZ4qodAryB2Q1fXAWR3vV7Fmkwm7O/vU1VVA3NRFDGbzZp6il3THJ+72O/3m1DS+XzeKIvOuWZZHy7qwSrLMra2tiiKgvPzc2azWQN8YV1rz5e1aOcoesdU3/w6wzDk1q1b9Pt9nj59ytOnTxmPx4xGo0bBnM/n7O/vNzmO1lpee+01fu/3fo/pdNrkZ7bdUduK4zpA7A63l+uqiVeFtX6U8/9xN/kD8cY1MtR8dq2OO0uTG1lutebipfXW15pScH5RoL5zxGZWEt/ZRs3nAnsXF7gwRPWHy/BUXauLPnfRbgpEGiO1Gr2y6NW57W3JbfTwaC1qNqN3bQ+yDHMyJjqbgXXENzdRUQjDIdoYXGkw85zyIqMs5EZWWLkhxCiUlidKkVJc/8QmjEa4x/tkD084y0o2ogBzvkCFAdUkI3r32yhfBsQY1J/5s7jf/DU4P1/mZtbuqK42rfF3LmdcU2uxDYvOLN1SqQG8URttJwTV8V1fUx9tru+utctkuM5nq2oF0UNJS2Hs1ly8tN6WAc5kBPt3oDpawlxUwWwoUJZmS+DRRoDQ5y72tUCc0QJ9BaIsOi1GI2kmgBZVS7DKUoG7IpayFrPhEvjCSkJFrZZ1tnMUrRblEgWUELnlvtx6IvD69Bo83YPxJoymkgsZGFnH/h1IcwnBtQpeewt+78+IsU5QLUuMeMhrK46XALEFhd0SG6Z2Um3URLU6va08fpTz/7G39s2mhg/nlcr6elL19S/KmH+C0qm52G1+vIJ44nD7iuyaJt+2qFzjQkehImaBZZjkVPWThVCLutircxcrpymqEGM0xSKqlcV6/YFDpyVhZIgig7UKaxVlHjLfDKDUhBcB4UzAq9i0uBBcz+BsgDIKnSsxtKlBURcW5RwGDTFSOiNUzG4pVK9CH8ckJ5rkLKfcCAkX9XWXKe4fXGMjzugFJaUL+NLLb/OP//BPo2YhBE4e4Ph9d2oJfvV5WJa8WE7DdsNSWZbH6OQ20n39cbR1ENj+3B3fBZKrVEk/PgTehF8K/wrjl36Dz/MVnnCbLca8w0v0duZ84oOn1AwosDhgmbv4Hbi9ecp85z4PuNcoi4aAHnNusc8eJ2wxbkxg9rnNG7zJMbt8nc/w9ks/giHkDd5kxIR7PCBHSlwccp0H+b0lKB7X++7rKk6BLfjsT/8z7vGAf8LP8GW+CL8NvA7v8QJ95jzkLv/8C3+KH9v/pux7Cj/2332T+//ZS7zNq/SZk1Aw74Sltod9Dco2IPpxbUBsVMc8Xh+C+t2El35MYajtZpF6i5qgwUJd235bbD3eW6O4pi+l/P0LqbnYbctblOJpZvmj84BsqHi+hrnUGtQ8JQwNySiDqv6jChSusKhUtM54pyItSjarDDVPWZRhA1VJaNlL5qRxRRxXWCtldWZZzO1+xLwKOcwSTooQ6+B2ryTRlu2kwGQJpVXM0IyLunQGlgU5FkuPVFI+nCUh5NVN2Pz/aXvzYMuO+77v032Wu7193rzZgcEyGALcIAIWKFE0LJkOFUe0pSolZFQlKSrJqSxV+cMVlVN27EgsRZW4pCqlXEnKjliWWJQipuJIluRIVCiGpBiGkEECFEAQAGcwmJk3b97+7n7W7s4f3X3OuXfuAKDlnKkz595z+uz9+va3v9/f99fKuDFc5sY05m4xZDPo0s8FkYRBEbDz6jKXVqYE7RBTah78G4r+v8w5TNtEUhMIQ9mQnpYVSKQGj6ZhZgM1oKRuekrdTJFBLUF15bTxATvv7P2/1fSXBouLpKbzrGAzHcb8fm9VtrntfvkYm51Kz6qNx2OEEIRhyOrqagV0mkxip9OZAWgeeIFlEldXVzHGVDJSn3PRX1eSJBWgHI/HJElCp9OpnFI7nc5Mio80TSuZaZ7nFXDyjKGXfq6urnLp0iXSNGUwGLC7u1uBYW+EA3BycsLOzg5hGFYxlVeuXOGll16qWMv56X4GNk0JavN7Eygu+t4Ek2/XwX+nnX+4lyWcl5/67Wbus+tnzcggfEPV3O4H561izDhQOV+HLVCU7qTDUYHY7rPajog3BVUMXxBY2akxlmH0oC+OoLNUgUbR6sCp0/biWi1bdv107ZJqDGIyhNEAshQGJ5jxiKDXI9gY2wvr9aqyKslR4wyjNXmuyAtdNRKFsZ5bgbYNxUYnovP4JZhOyfeHHN3qU2KQUpDnitjf+P4+dF+31ywkrGwgnnwa89UvWwmtmmtMTG1mU4PGWUaxBo1mVpaqDUr7XIqgGiyj1qaKXawHKBbUqe+ip7ZIatpc56WnlQQVVz8cc9hc32QLRaOMl6N6Ipa58/nfUeke47gH4rSNL1x1IMzLMUNnMNNJatAXFtBOatAY51ZSapxMtZPUORf99SUdmHZsmo1xzwK5TgLTkT1GJ6nLZjGkHar0GnlUM3hlaO+ndIzj6gAu3bIgdLBqWUXt8koWjV+Vk3Uruw0dc7Q0giuvw0vvq+MhZ6YFQHCeUfTPyQPIJlCsvjfKV2ByHjQuGiT6boCiaTQ07rtPOl999+2LcUNYriEyTfCB/ezTSmDq9smDFv+SZq6v8Z69WU88tqhIR4JiGdBgCEhlzHHYxRjBWiuhF+QURrIU5HSCvAKNnahArdiR7XZYst6a8kDvhABrEa+N4CBf4jBdYlrEnEw7JElM0Q4pE8dctHV1YTK3rKNNr2FZRbR9LqKwnVFT2BvO1kKSCwqTBkRDSWfPIJUFf7Lp8zKIeWX/LO1zBYEwXGj3ufrwXV7/9kUovYvsvc9pZjnHKPp9Kjmqnt1mGX8zyzh6+al7v7B4kOht5RDV5F1QqzvlHpZxEfi7Hyi8H5Bkbt38sb1DKsCLgi+Ff521B094Ly9VQKlFzvp7+6yEBbyBlXG23fI2Nv8icOWBba60tu0xj4AbWOOaEjsYEQAPA1fgytY2w8cjbgSXucRtnuAVwMpTA0oUIUdsssN5MmIGh2s1SCyxjKGPWyyBH4Cf4tPscJ4XeZI/f+7ZKq9k/2gNXAz1c3wv5//DHc4OB3a/l+Df/9If8j88e54Ry2T1LyTAAqYwuIdR9NvnZal5FpOlMXnasjr6Zi7F+byKNJbN6bsAit4NtfndoKp11shGVjJVcKBRSKTx2/x6K1RsptAQnl00jlGEmXbVs2CBqFX5R6lGCkk7iDjT8gyZIBgZ4kNFRxdE6wLRDS0a6oaI1ZiwHdAlI+pOWSsTmyqsYwjXJeH5rpVPSOugpk9SyqOMjcmU5DhiNG6x0srZSu3oxkorRwjbz5sqyai0AC1VkKo6li8XKdJIIhNgMJyNu7x/dco4j7ibRrw+hIKSQNh9/bQzXKL7Us5mawpSIM/0eOIDBzz33HkyFVSsaPWcqNNnzMpJa0bRy0v99yZQ9LPBYm1vbjMPInHvb356JyzjXwoszksQ55mnJgj0YM9LOBelyZg/tmcb3yqOcZF5jpSSyWTCwcEBUsqK3fMOpt1uF2MMRVFUMYs+pYaPK/QgzBibq9HHOfqYPm9E46/D30uv1yMIgioP43g8Znd3l+l0WsU3ekbRH8sDwTAMOXXqFGtra9y9e5csy7hz5051Xs9kepfWdrtNr9er0n9cvHiRfr/PrVu38FJXf22LAOJbAcdFsY8eHDZBY/NdLYpp/G5dUDU1ohMOJPpOeBNENk1uLJCsmUPPLvrAa7+Pcexi4D6LRqvW7PcpbUe6m9VKCMFoXBDePLIDEasdK0mVEtMdI5ZWwGgrK2217OewZWMSwxhWc7v0etd2DxHFrnFTmCKHKHWOqWV9QVrDyooFpVlmQdtgQHJ9n+koo9uNmE5L0lK5hsRQGoMEcqMtq7jVhc1N9Ju30NOMN/cm9ifAxQomSYlShu7JANndR6xsw4pNxMxDjyP272Jefw20xuSuTklRu596RtHRg0bX9eUeoNisT+78StmlVsaBxhrE6+q9Wc+uakD/uxjRn5cgzsS2zQFGzyIqZ0DjmcOKXfRt6tw+DYKorsuijmP0JjHNdlpqKz092LKS1e60LtdO7XcjLPiKSnvwQDsHSmdgExb1YEjLMXhSU8X0FVGdhsOzV1ranI9BaUFkGVh56O5Zy1T6+MY8pgJvpQeCkQV+pw4tK3n3vGUi71ysz6sDSF0M5WgJ2uvQG9fpPy7esXkYb10CE9XS1WYM6SJp6T3AUS6IfcQCJxXMgsgmE9yUBHsTGd0AXO9o0qaOh/M9Iuk+NxsTY6hMbpTB9bbwMlKjqcBlVU8bo1o+jUZdgetKJtyo2Ey/Q0A0gfaBXa86YLRAE5K0IpbbGRrBRMX0ghxlBL2gpCVLOkFO0onpBHkFDNejKV2ZEwlFYQKmOmasWsRSUQTKdQ7tPYquQgQanQdQSuQkoLMvCCcG1RGEiSFMtf07UAZRaoS0gFJHgmRTIlYT5G4bmcPK7QIjRQXagtTYlBujgEmrw/XuJqc6tlL9wOZ1di6sMN5eASOs5NVdm3Bx8fPS0hm2kDmQaGbLCm3PPQse63IYDyZNDSwbIPLtpwYanpGohnPfmQUXbbgHLLYbuzbLN1nH5rH8d28S09weAi9HfG7to4Srisu8SU5sHUyDHd7desOWOYUFgyE2dnECDIGX3NKfZ4c6zrGNlbCewoK4HpRBQIgip8WjXKNDwhGnGLHMazzGH/Axtq8/yulHbsO1tnVB9c/CAUEOgTWQPzrhKb7O7/Gj7HEGfs1tT6FIYw5unoNxxCvvfoLz3OVv/zt/At929/3r8JPPfprf4GdQBIyxoSYBaoYpXJxHMbgHKHpTGx+rqNMYxpG9bj8vAv6Ltr3DyaAav1MaY5TrS1nW0EtWmyY3yg1YSBff6NnFwLjMAa7x8b/JgZOlNhlF3eh7Kfd30IxrFMBJZrg+tozhWlyijO27LU1i2qulbRenpQWM2iA6AcQBYSsgzBS0gqoPIlbaiFYEoYRSY7ICkRTIuMQUtjmVwqC0ZL2dEgaapIgoVcBh2uK1UcxJDisRDAvDRJW2vyEUhcgJiEhNQIuIB5cDzi1NeO1kjYkSvDwcERCgjDXEGZdQaDjIWiyfLNO7fkS8CTAhfuo0T2wf8PL2FkZLUuWxg81xa5tFUYVneefTKp8is0Cx2fx4cFloqmuZGcfHVLO1slFUiTPuGV1bPP0bg8UmAHg705q3OkaTQWzKSb0L6lsxks11zXJ++2AwwBjDqVOn6PV6SCmZTqcVw9hqtSqg5oFiFEUzcX9g3VSbuR2VUhVLmCRJBR59XKOUktFoVJnTeNDqjWk8i5i7GDAPqFqtFpcuXSJJEk5OThiNRlWso2cssyyjKAqGwyG9Xo/hcEiWZayvrxNFEZcvX+a5556r2MZmTsdmXKh/bveTl/py8wBwvmyzLryVC+o7AYwaXGeobmy+28n3syp20fXVcKNbjX7YzD5Qxy/Wz4ZKimoxnuHkJMPoA3oX1gjX7cAAoxEm2ENEEXR6FgDmGQSRZenidh3vVDjpcTa1HaEwtOhUFaCV3T4ZWfCY5xY45rkFpf0+OslJbx6xd3dMIAVSCqbTksJYFjE3vlGwjU9bSlavnoXJhPxun+R4Sr9UdKVkXCpsPtGSvFAUByNaq8uY40NEMoUtY1nTJ76H9I++aEHyRg8RSFRSYkqFcHXKGA8cjb2fphNqY2jLylIbcglj7CiYrr+D3z4LDu1nUzHKHky+ZX1oAv7vAmDOHGOOXdTYQUztWMAZdrFxXjF3fs8AVeyGWzdYtfd26tiCKqmthFMqC/5aWQ3UgtKui8raiMUzeXkLRGr3M8JKU7W025OOBWWFk68WkS03WnHmNKcdaNV2Tjo1i5hHzEg8Wxlc2rZlTlxc4nDZAtxp195b1rbnGK5akDhctaByXVjDm8s34LlnHNs4ttdSxBbk+XjGe+ISqb9XoL8BIM3c52bZqi40gKGeP07j81tXCFcDtZw1sfkuJs84VuygZx2Vb6io2cXqvB6cUrPqHgRV92L3bQ2soU66ISh7BiMFRRJxKHu0wpKVKCWUiknZckCxYCnIiJxLS6ItmzIoO8jQ0AoLlI5IdUSpA1IVMkjblD72SglMITFSIscBMhe0jwSdfQuqjYQoMQgXRC1z5YCVZRlVO2BywaCTkE5fEI8g6meobkQ4USACgtQyjNFIoHoBx6Me0yxGrwp6Qc4PXLjBF5//AAgoeha8i1IgVD0QYP/2ZsHjQgDZ1HrNA0e/jiaYpOq13ZM2421/++aB4r/BdD920YPH+zGJzaX/3ASNDmCmX9ng9z/4t/jwqS9zldeJybnBZeIrOVcG2xYEZsAGFigOsODRm7SsuuWWO4fPz9jDSllXgYesGc6Ji2fss0ZMzis8wRGn+DwfYftfXoE2HLS34BqWTWzGLXpgdRF+4sxvc5tLPMczvHL0hGU0LwOvggwV+k2bauOld7+PR7nOGw+d5cz5fXpf0nAEG7+c8rt//8cIUFzlNWIyTlgjoVvln2zGLnp2cd4htSQgVy1UGdR/L/PpMt6KKb7f/BaTMZ4qZ2Ec4zuZtNAL2EVTxfE12cVqH2z8oh3Y9/1DBxqdOkwKO9i/l4A2AQ/2BKfikkAYBkkbuWs41ZoSLEtEKDBTBZFCtENE14FCwGTuIYwzq8qIW3ZwPS8xpUGnhqxv881mRUipJWkZEErDQdpiqgLemES8MdIEQhAIwTDX5KbEoEnFhJICRYGmRU/GvHe1ZJS12E4iDlLBvtxjWa/RVylSRAxzQ6oMe2nIRhwzPGjTnhQs6QLRnbDxoZBv/3oXiWGzpQiEISsDSlMb3TSbDlX1k3w3SlTxiTOsIbMMoi0/fzzXl3fvcD5txr+V1BnzgM2vg7cHiov29dMidrEJMOZjGZvnbRrDLDpXM09iU5KZ5znT6ZQ4jqt4vzAMK0MYbxpTFAVlWeLTaIBlLPM8J8uySlrq8yqORqNqfRiGDAYDxuMxd+7cQSlFt9tlOBySJMnM8YGKxdza2uLSpUvcuXOHwWDA9vZ2dV/ePTVJEsIwZDqdMhqN6PV6lYMqwPLyMs888wyf+tSnGI/HPP7445w5c6ZK3aHmpIRvxTLOg8dFoHIRwPTLtwKM81JTsBUd8fbJP+c9Iqp7ccdtsouea7TXLTCiZhebz4BGjOOssqzusYWBpFSa4TDHmD5LtgAyzRDjMbTaFhx2enZZpGA0tFxSvSKHPAUh7RJABpgssek2kimMR5iTI5hO4eQEkyToSYaIQ4r9IcXJhNs3h5TK0OtF9Ac5k9TWo1xbsGjj5uy9nzvTJbz6EOramySHY27eGrnnb8jcn8U0KQhDSTlICE+GBMsnmDy3sZgAa6fo/M0f5IVf/C0GpeLJR9foPnSaoBujc4UpHDhsPDPPKmIa35us4Zy5TV2PaCxrQDjT9/LvE2bq1LzU1K+DtweKi/a1O/o6xUzsoj+uX+fZxfnzenbxHrdV9zlQjoFboZZkCgvgpl2bqiIs7HFCB6hMYdeDBYJlZI9fOrWaNHb/LLYALe24vIode56sZeewtEB1vAR3Ltjr6E4t8Es67viRO65xqcENbO3b3Ip3LlgTm+1L7r5k7Z6adOzxp1177t6yPVY7BdZsuo5nvgaf+jl7/se/DWf2oJVSxWPOyJnmgOAi1rEJJv0+Fdu4ABg2AaJ/PfN5Fhf+fnkW8e1w4rwjqn+9BjuI0mAXK2ra7+dHEmYGO2yLVrGLc4yjGxPDBCAURCNbUVOnpzZ5RJYEHMQlraCkNJJOUDApW2gjWQntb1OiY8ZlTCAM49K+0EgoBqrDqGwzKNoMsjaDcYciC2EUITNBkAt0APFQEE5g6Y5GKkPRlbSGmjCxDY7MFTJXFbA1QjDdCigvZER3W8RDWN52CgZlCFxDFSY2rjFIIBhL0m5M2Qrot3LeZIML3T7R0yes/OYK8bDk6N0tki2Dju3zsIBu7pmZ+vM8aJz/PFvO+AboHkA5sx7mRrQWBQv6nv9fAij65VtJTt8KLM4zik0wsgSMoXh+hS8++YNwxkoxjzjFmzzEqad/i41hakHpAAsYHdQJcgAAIABJREFUAyrTmIo9LKmkn2RY4LgFnAcehle3HmSH87zEe9njDPtsscyIF/geXuMxdv/pw5Y9fBfwtbYFi2CB4mHjnkPgE1aC+lk+zguDJyl+zTnmptTuqdeANXiTy7zGVR7hCfqtdT7wkKMXX4R/pf49Vn8p50sv/jBLnzngb/b+T7bYc/LUpcoFFZhhFe9Zlg1W0ccqzr+bdwoQ58DivNQUsB1/wz3r5ydtZh1Rq/U2mvie2MVaquqFq7OsojGghQ2DkcwqBg3GuX/adBqFNhymYHssIQbBdBQwSFu02wWyVRKUNmbRJFZtJXq2PTJZiZmWIAVmWto+YygxkwwzydGjgrwvGB53mKQx+9MOkzJkXAa0pOFuGnKUS145URTasNYK2E80w8I+2ESkpIwR+HhNwcPLLd63cci3TlbZTQXfOrEDBkqUTEwKLDMsNLEU9AvJYRazPu6yVOS0lsdAQniuxX/wxJv8nc9f4FBN+aHTa1xZUvRCRaakjV1s9BWarKJvWmbG3xvf/X66uY4aINr+8b1pM/z7/kvFLC6SkvrJM3/zjqXNfRcdr7lcBPS8THX+/MDMtre7Vi/vBCqmzoPBLMsqJnFpaYlWq4UxpgJtXnI6n3MxTVOKopgBi5PJhDRNK+Doz5ckCbu7uxwfH7O8vEyapuR5PpOOw58zCAI6nQ6PPPIIxhi2t7c5Ojri6OioArJLS0tVbOTKygpKKSaTCZPJpDKzOTk5YTqd8sgjj/CzP/uz/Oqv/ip/9Ed/xObmJk899RRXr14lDEOyLJvJ8xgEwYx76vy7WhSj6KWqzXt5Z+xhzRpqoKzAmCEUdgysljrM7Vvjtvq9U49aVZKjRnkhanCp53Y3xhr93c8w2GiL63zZotRVDONkUhDuDmhrg+zEiElOGL5ppaXrxuZf1BpiF/8XOQlqI+ciRYY53LEsZDKxYDGZ2FQb0ylmMqVw5jZmlFKOUu7ujDmcWnOaJCnJc0WmDaWxNs/G2FjEAEFPBmy9/yIYw/C1XQ4OEvaLklAIcm1YCSWDYc50WrK62sKUivJkQrA+cmY2BezftXGU736K7/lHhj/9h5/mN7+5y8OvHfH9j26w8cFH0dMUNc2tRFU5WXgg0YWaZRUbrKGXwBr32Rgbt6iUpiz9NuMauwXvpvm5AfQ8qPCT1I1OH7N9xUXfq3WybnzvAXqilql6cFIdprltUZ1qXitO3um+J10b42eEjUfMWhZMhqWN9Ws5R9QwsMfwktNAObDomMPUsXpZy8UhtqyhTdq282jJXmfSsfPuGZsjcXlst+exnSsppwOqgbYS1Ueu23XbF23uxKMNB2QjyxKOHdhcGdpjTJZg4hhTFVo2ctqxx/nZT8Gv/l34o38XNg/gqa/D1detYjtrM5PnMdBQNMxw5oGhDmpA2Yxb9GlFqrhF957umWYah/qP3xiDUKrCaASBrQRVELW2scf+ME6iOvviDUJrjC83H+voRrqMbMQtVtst2JlPo1GdrzF4IYxBlPY4YHMgtgKBMDbnocwDRnKZvUChe4IykmgjSIIIKTSdoEBqQ0sqpNAkKmJStng17zItY0Z5m3ERM81i8mkEWUCQCsKJfRmBhiCF7p6mfVRYc5rUEOSaILOpMoQfLg8lJhCU3YDhw/Yldu8IOkea9kGOCSWyUBSdmHhkiBJNthJYxn0iUNMQJQ2lltwZrHKSdnj24jW++NOPsvVrHS78Hzcpz2+w/73LDK5ogkwgc4P0cY22/4ssZ1nF6sG7d1Kly/BtibbvQzoAaiWnZuFgU72uidRKIGmU6mLjEqPG9ua0gEZqMoBwL9BbJFOd37fN4mn+Uvt1Wf1qjz9fegbVC9nkkD3O0GXKTz71vxIFWJYwxIJG5ZYlFuQpLHDcAB5wy/N2Hp6PuMYj3OU8O5znNay5zW0ucZtL7H72Yfg8Nufim1jAt+uO651Pl9z8KPz0+/9nFAG/NfgJ0j/cgD922w7tMfTzPQsWPwhTurzGY1zlNZsaoweTZyW9K5qVTxYc/WKHU38jYbzU53979KeJvjbkH536JHtssc8ZBxxbBChicqZ0Z9lFJzcsy4Aijet0Gc0UGf4+3k5y2lw300bpaqNVvoQIIathcWP07OCbUSBmu/8GjaJwRjazqRRsnKJ2VSOoQEczjUZpNOF9wGlzgF8byJQhdCv6ueGOtCkluoFkUgaEd0/xrviAjlZIF6wnUoUUAtEOoRCIOLC/06nCJCV6cIJOFGqkKUeCfBLSn7YZ5zGjIuIwDzEGBkYwLCXXhprtfMxm0GVUaJJSMdUFOYqCDI0ipkVEi1XR5YOnSoyBlwYRt8aam2afiJhETDltTnOYGoa5YqsTUWg4ykM20xaBMKhCkN2WxMcZ6x/u8s/MHT72J0v82s5nudj6AD+6foVnTydMVMCkDMi0qPI8IgR2PL5mFZvjipXklDpFhg9HKrTtY9tBd3OfeMW3Bol+esfMItwL7uYBQhNgLJKQvp3MdJHEdP788+WbU9Nl1UtGgYphBCoGbjQaVbGITRbTGGt+Mx8LmSRJJQH1clOfYiPP80qSKoQgz3OOj4/Z39+v8iN6JlFrXRnj+GuWUrKxscHp06d5/fXX2d7ept/vk+c5Uspqv729vcqIRwjBaDSi0+kQBAFJkjAcDplMJiiluHz5Mp/4xCf49Kc/zY0bNzg4OGBnZ4dnn32WjY0NDg4OKufW5vu5n+nNPOM4DxDvxzIuAqBQE1FNhtDLJ5txi16aqnF5F02d12cGMLj/jHCDusJDUM8u+lKi2u53qGLOKqarllFYV1Xj+oN1jKRWhsEgB4ZEXRs0XZyM6bTbFjCWhW3ItQNMvWVq6tI1qOOhBYh5ZsvnGebo0MpOswydFajBFIRAJwXHB1PuDFJybWgrSa4UhRs1mihF7v9OEIRCcHq9RXjxDOnzr3Dz5oijoiTVVnLhG5Cdk4SOlMSxBCkojicEy33CILBy2JMTGAwQZQmPv58f+pkPkX7qz/h/RynXXtrlB7fHvP/H3os8cxq1vUvZn862Cd4NtRGf2GQNa5Mb0zC2cYMU+IbR/2sO2tfbq3NVHebZdU0pYrOcB24zrKKoWW/vbjojMzWz+1WTK4OXpfpjzp3bX58HN14yCo5hdFlYXJYDRksuFrG05X3MoREWuM3HQiYdCxKL0IKkIqxTbOSxBXRJ1+6Tx3C8Aftn7Poic0yiA2jTrnNCddcsXRqO0/vw+mMWLPbXrPxVKrefsPkU26mLpzT2HjqrFtQmHctcTpbs9V1+Ez7xWfj0T8GNh6wUducCPPsl2Nix3ye92WfYNK6pTG/mpahzoHFGljq3TjfW3fO+fEM1kzPRaZLviVt0D8rHJfuwCGMwzYSO0kpE8e2N1zYHDfbQ1xNDpZHwaLUGk422zTZ2Ve5FzzRWDCMC1bbHjcYhx61l4lBR6AApDKUp0Ag244mLAdeVLOoo6zIq2jbOR0uyImQ8akMhEblAFIIgsceWBbSPDb27BTJXqHbgAJqVnIaTApG5zokQmFCSnAooTpV0rrVY3la0j3NkWmACiXCqhd5uQdmRKCeNjiaghpIiCBmnLabjFv3JCoUK+L7zb/InH38vj/3mKeS3bnD+zjJLz1xi58NQriuio9CB2+Z7rgeVmnGLVexhc50ztqlA/mzDNBuv6IBkPXnJaTi37n7UngeRJRWYnAd+fjnPKoYLys5/n0+p4Se/vgk4AcYwfv40X3/6Kc71dgB4ncfYWt3jRx7+gpWVKmrQ+IZbqsYxHsaCxA0sMDsleSH4Hvqsc8gmfdZ4k4cIKDlik5v/z7vgM1igd9Et++7aXnXf/TUvAT8MH+FP+W/5B6S/tgFfxMY2LlHLVj+DlaRuQkDJ61zlBW7TZcru+Zd4hSd47aHH+E//899k4x+n/E//13/Ef/b4b8Crn6XYfC//8Jd+hf/6H/x9vp+v8qd8hGs8WuVQBMgrx9SQPI3J0paTnzpWsSmZvV+84juWofqRyXkjG40RjbhFJ001SBDSMZLO+wNlBy1Fk1WsjW5AYlzjYgf87a+kT6Nhfyvr+EXfHEoMWojq2AaDcuyi78uVGg5SA0iW3J/AYb5MLy64HB8TFhohQZYGdIrcaNXqDteBVCc5aqRRiUAVkjKVHJ70yMqQaRmQakm/sJkFp0qwPTF8J+mTiJQl3SLVisylyziRR6SM3ROVRCbiYq/FI8tDvrx/ipdPcu6oEyayT0SLjCmaTb4zGbEsW7QCe1mHmWQlbBNJw6lhxMmwy9HtNu8p9tj4vphf2Wnzn7zyNK8N/xX/JHueV/s/zs89qri0MuWNcY/jPEA3EH5TdqoMs3GLTdDYWPo+raYx+F5HK6JFzTG+nQw1+IVf+IX7bvzkJz/5C1CDxHkjmuZ3//mtZlthzT1pMPxynq302+aTuc9f08IbaxjP+DI+ZYVSirIs6ff7tFqtCkAKIWYcR7XWlSGNX/pYxLIsmUwmFUg8PDyk3+8zGo04Pj7m7t27VX5HD6788dI0re4/jmO63S5Xr14ljmNeeOEFxuNxJZ9N05ROp0NZlpRlSafTYWlpiTiOK0AbxzHtdpuDgwPu3LlDWZasrKywtbXFaDRif3+ffr/P4eEhvV6P06dPs7a2RhzHFdCdN7Tx17tonndFbbKMb8VEaq15bJC4Po9758IFP/uOvt/i1gvs0pdrLu+pi/j+mYszdBp54b6Dl0bMBlz7k4sZ2YRHFO6zgCCo65x05ylKjU86b7IStXdEtBQiul1/E9bd1P9Za2VBYjqFyQiyxMpOs9SyjaMR5Dl6NCG7dcz4cMJkkHF0mHDnOGHkmDuDqRymJ1oz1bpiTltS0AskV57YIuqGvPblGwyLkkGpUK58T0oKDIWBXiBZXoppxwFa2eYp7EbQ6cCdOyTf2SEsp4iNDcSlBzh34zv0j6fczBQ7ecGD44yVS2vI06cIuxE6zdFZYaOtBbZTrGvG0M41UNTaUKqaZfTbNbaPUS9N/dngXHLhd//ez/tXZN+PmQWMgrltjTL3zG4Hg8uTOLcvbn2zrO+Y+x/E5k5ztemeL56B9NcELneiY8TKyJrBtDKbgsKfq4jrG9PSAsA8rpc+FrEMLTAr3LbD0xbgjZYtULx71uV3hDrOUdiyaZsKDMU5dFPL+sUFvPA9lkEcLdvzpx3opC4UJ7JAdmli9/MgNy7sPRxswZ3ztuzKyMpaRyuwv2Wv7XDTxjmePrA5IOO8BrrKdSY86FPOUGdmduvmXVK9IY4K3HrPRMq5sgGc+if/wj1s9zcvReVcbN+7qCqAsI0RFdu4YFm1MFJU7YlrTGybU5Wt34Vr/Ooq40fAhJg9BI0yULuxisYuJQhj4/dkCeEg5KQVE7QUBmsQNi1jvPVFaQIO0yVGRZt+1iUpIk7GXbIioigDymkEpSRIAtrHglbfEI+hc2zo7RREo9zemxG2k2cM4aQkmBYIGwyOboWUvZD+YyEqFpz+piEeKaJBhlAGOc3RvRhZGGShKXshRU+iY3sfINAxqLaBgxaduwFD1UasKDZPjbibnmb1IMAcHNHem6DWN0hPg1opUS2QhbCzx64OFMrKyMbc444qVQ0epa7L++9SGSd5tQyqj8u8vtumHoaCGgT6txZQa1wiVy6amxvUsu/XeXwp52aPPd0AVvU5buyr5/ZtTs1+Y7dRzsdH93v0o2UmqkdfrPOvw+/lwupNrrav2ztSwGm3T4AFnI8A57BgcQveuHyWk+UlhuEq13mEPmvc4kG+wA/x8vWnuXvjQQb/9yb8BvCyO1ZJbZjzOpZlTN22LeBR+MDPf4UNjvnM//gfwzewsYopNq7yAawBz7Ety3ugc35EknWRoeEUR5xjl8/xUf4FP86o1+H7wuf5Kze/yT/973+K8S9+GPgCfCHjyx/7Sb7//Jf5AN/gNAcccYoBa4zpAcLmXlQtpuMuRRpjph2YBjB11zPFsok5s0Y3fltzuWC74JeYaaOEdGwitn0QrjclQIjA9YUlQgRIt7SfA2prQIF0ANKm0ZCuTyarf36Ayn8LfOVp/K7V4TyN9tLU2zyrWPXbgExb2WWhIVWCO9MO66VgqZXaMtKgpwbhR5RLgz7OUWNN0TeUU8nosE2ehOR5yGDaJlUBgyLmxjTibiI4zATbE83r0xHH8tCRAZLc2ef1RZ+ROEJTIhB0zDJrrPDhrZiOhD/YlhyWCQfyLoqCsTlgWZwmIyUTGatiiY1WSCeA0tj76waGlbDken+VV0Zd9KTNud4J5y+OGe9c4dtlTn96nTf1dVbMUzzcU5zvJvRCmKqAVAsKLSqVnMYb2dhz+FlpQ6mh0GYGVCqMZRqd2LREoUSJoqyXFCiT83f/q5/8Re4zvWMZqv/+TmMV32qf+8Ux3i820stfvTPqfH7GeTDZZCe91DOKogoU+X0mkwkvvvgiV69erXIbBkFAlmVEUYQxhjRNybKsSnfh5Zo+X+JoNGJ3d5d+v18xhh6AQW2S46WiPt+jl7pGUUS322V5eZmXXnqJ4XDIYDCozuXvZzKZsLm5SRRFVTxmWZZMp1P6/T4bGxsVWL1161bFVHa7Xc6dO0dRFEwmEwaDAfv7+6yurtLr9Th37hwnJyckSVIZAi1iCxeBxnm2EWp20u8/P83HG1o9tqVaFsUhLpq8hpsmy9gYyfdnNdRSVNHYV2D/iITwoUIuxrHBLPoe/yzDWNfJIJREsaTINWWpEQqUFIx2x+g//QZLH5wgHnwQllet9PTA5WY0xmrykgkmy2w6iqKwUjYHFMujEdM39jk+ThlPSrLCsoaZGxnMjQYtkdjw5JHSBEAkBFIIWkKyHIVEp5a582fX6KcFx2WJAXL3boSAkdKciyLiUBIGAqU0RaGRw4R8b0B8JiPfG5AeTTDfukX3zOuIC5cIVzo82G4x1YaDQnFykrF5c594K0WsLBM/dB61f4QaJuT7Q3ysontlFhRW9cql0PDA0XhZqqnsn/2Me1fz03y8YZNJfKemNov2mWcc/dJLUTGz67RjdHz4WRXjKGa7iX4SplFXBYTapsDwoEib2jH1xSfh6mt1bsOghGzNljfCArusZUGVN7Uxss6XOHJup/01xxjGljUsXIxh4eMdtQVOk6VaAivddXUnNtbwpfdatnKwau/R7yu03W/zwJb38ZhlaF1W+6VlJvtrFhzeehA2TixT2Z3AuR17rEnPHnv/jE3R0ZvAuV0rX026zhCo8b7m4xh1A/Q13VPn2USfT3FRFTHaOGDnvnuGyKfLeUeVqlFx/e/aDOPozl0xUmAa27z00V+zPb/wBasxiXmGUdR/LJhQoCPL+JnSOJAtiCaGIIs5vLJG98yEsiMJpWacr9EOS4wRjLKYNI8ocpfPrLQ0rkkCRCEIx5LOngWK0VQT5AaZ1zGGMncDkFIglCEcpphQYqIApES3AoqlgGLZsP4tQTwoiI9TC9Sc67IRgnCYkp5bQkeiiscUJYQJmIEkWw9oDSTRCMR2wI31Tc6cGlB2YPrgKt28wAzGtAaa1kFAsSJQPU22pQgHAWEiiIaNZw4NdpCKsZ2Z/TpjaqZRN/+g5yvD/dJiwDuPVWwOXTUO05SMNg89v60pXZ1Pq7FI8giz7GQJrGFzGR6C7vdIwy5pO2Owe5a/89T/wu2NT/JjG7/Lhd6xNbE5T+WSWlyC/dUNDjlFTosRy+TE3OAyfdZ5hSf4g+xjDL541jKGu/Y8VYyhZxDbWJD1MpYtXHPrzgLvgSf4Nr/09V+Gr2HzKnoprb+fl4Efd/exBMmkw7i/zI0Ll/k6T/MhvsrXeZq/GLyX6WqX73/mq3zwxjd5iDfZ/bmH4dc/BnwDvgKfe+qjPMmLPMo1/hZ/wPM8zZtc5gWerGIV7bOby6k4D/7mZamL4hTnJv93X303rmckLNB7J5PtQdiyfh+NqgCg/RxSp9jQyGqb5aNKt8U7owpDlUZDu7ZqnmH0gg1trEy+FQgyZciV65cJOMkFv7+9wV/LYh49c0S3KAgiQzHShB2F0ZCPAtJpSJpFaC3JywClBf2sRaoCDrKY10Yhd6eGQV4yVYpUl0yFNYxMxASAgIiCjBN2CGkR0yUgpGuWWA/bnG4p/ni3zX4+Ykduo1FkxrGPRnLCDg+b99AOAiJhwVumoF8IdtKYS3nIThqznwpe0F0uvrbC2Ysj1iLDE+YD5L0x4+wue9OSa+MO59ohG62cq8sTdpI2/SJkN5UVCLTvzvel7HO0zGK9nJGlVtxhM07xrZnE+em7NriZl53eD+A1tzX3uZ+zadPopikjXWR+00wFMV++uV/zPE1jl3a7jVKKKIoYDAZ861vfIssyHnjggUqW2mTXsiyj3+9X6S289NQzjp61m06n94Apf61N6akHimEYEscxp0+f5vbt29y+fZvpdFqZ2eR5TqfTqVi7drtNHMcVq+iZR7B5F70EdTAYcOvWLZIkYTwe0+l0WFtbI89zbt26xfr6OicnJ6ytrbG2tkYQBFy8eBEhBMfHxxVQ9c+2yQ7OA8hFktT5ejIPKIHZ2EUDXrPnpaiLBjr9LKt9mAGMi1Rg9rfe4PMmehmE8B2uRh/O98NodsMM4OzbjTT1cR3Q8VOnE1IqQ2ygP8govvJt1pMEHnvMuqS6Z0RZ2g5nksDhISbLEXGEyXJUUqCTHDVKOD5O2TtJmShN6f7wLZPm8xkZptowdfU8lJJACCIhiKXgzFaH/qt3ubE7ZqI0qbvWsTKshTaQOteGTiBptwPiVlClsMiSEg5GxPv7lCdTVKmZHE1pvXaNYDKhOJnQDSRno5CxMlwfJ2y+cUR3d0DrzArxmVVEIIkfewCCbbLtY5Q2FIVGCGbA4WyqjDqOscqp3RBHzDSS+MGARp1rgLt52en9zG+a25r7iMaHaruTojZNbaSpwYhnGyvnRd04fqPuGmEBWAUwHfA0Dqj5qZ1asBUVMFiBb73bAsIHbjlZakNqqQO7rb9Wp7coojr+MOnUrN2002DgZH1fhjonIzig6ABjXMDpQ7h9yc5TJ3cFe/xOUscGtlOIM8cquntMW8CKjcmc9Gy5wSrcesBe23jZMpNrfXu8Ww/A+oktv9a3c6Dh4m17rcenHCiOqaS5TXbQNN7vTBxjQ246U0/c+5yXLM8ELjdjE70UdX6Aqzm64YeCGwPv1vW0lp/61BiV0Y2oCiKUcaeoB6qalb8e0nLnlbbBM6ZRnx3g9JNqW1ZORxANDavfDhlly+iLkjBUaC0YGJvQ2mhBmQcwiJCFgBCXK9HlT0yh1Td0D0rCqbKpMHTNphl3PcGkQKbOBVoEmMACRh1Lkk1Jb1uwcisnnJTIxA2Qpjl6qY0sNZQK1QkoWwIVCwfYDEEmYAR5PyKcWhAZDwzZ7TY7ScDKBFRHojaXCdOc5TfGpOsrlH1JviopVjVGQnq+wMiQ1rFw+SDdc/d97wogmvrZO2AoqoaqEbPo+yn+2c8MmjYRXNMFdZEUdX793LZ5cDgvP51f34xxXAQs5489n5ajeRw3bVzeYTrukG4GHDz3AD//rn/M3uoWP3P+n7PM2KaNuBSQ0CUjZp8zPM/T9FljmRF91jjkFEdscptLFij+Hjae0Mfw+dlfzzXulZ56EPuj8Jk7Pwm/4spt+ysdQnsFpy6Ey8BFaJ89JktbkLbY3zvDS2fey3M8wzUeIR13ebn/JP/8wZ/h9kOf5zV11e73ri68egb+O/iTj/xtnnv0GZ5qPc/TfJ0WGT/BbxOT8Wfqr5KlMcXhCoRmMUBsgse3A4r3e1fNNgrd6KO43tQC85tm+gxt9FwO67AhS5TOFdUZvQhhyzt7mxIvPwXpSQbhQCNYZ1TfGLk2qgrDMN4Z1YIaPy1HljkzwH5q+JO9JcZlyPvUAWGs0EpgToR1ltWCaRZzd9IlVQGx1KRaMi0DEiUYlJK7U8PNSUKfCYUoUKKgFCUlBSERGs1YHJCYEwAkXSJaxKZDhxaXlyK+2Ye/GAzpiyFTVy5TA3rhFgUZpc5YFi16kaQTUuVAnJSwl0ruTHoc55JCw14q+ObhKUZpi6NcsBzEbJnHyIIh31Cvcn74Hu4kLc53Is63C0IB71sbEQyWuDUNUA6ICgdK70mVQe0BoTGURlcSVB+zWC+tsc2/NTfURdP9YtXm13uw12T/miyUByTAjDy1yRg2ywP37NP8Pg8kfYykEIIoilhfX2d9fZ27d+9WeRKLouDll1/m6OiI8+fPs7pqfZ6LomA8HlefvRNqWZYcHx9XRjb7+/uVG6rP0ehlsGVZkiRJlbrCG+eEYUgYhlWOxBs3blCWZQUoJ5NJlcZjOBzS7XaJoqhK9+HLTadTlFLs7u5WqTgA7ty5wxtvvMH+/n4FesHGXu7t7dHr9RiNRlUsp5SSxx9/nFu3bnHnzh2MMZUZT5NZ9MC1CYj9u3mreMV3kj7DsoVzwFA011sgWeL9s8QsYHQdL+PK+fWeXWz0rFxTZipNuBdhKOPdvepRXA9m6lQaAqWtDXwUS5ZP92idW2N6bY8wCAgCQZErdr5yjVPbx7SuXIBTzgYuy2AwsMfNcnSSY5w5THa3TzK2hjM7xykDVZJpQ2EMgRCErkHPjSFXmtxAKCB02+xSsBLZP+vv3B5RGEPq3v1+rugGln08KErWwoA4kLTigEAKssKWG48LylITXN9DpXnV15m8tkv6zW3u7k4pdd20jJTmzu6ElaWI9iBn/XgCxtALJPFfeR/hyneYvnYXow15rmsWsYpjnJWo1jr7Btj3n00NIOf6wQunRezTIlbKgz2p7923CQ6RNdCbZwyb5XG1p7mPB4zgfswFVSoNn6NQOHC4fmLnu+csQxc48Pfye6ypzPkdy7qBXT/u1Z9z54Jahta4JulaQLa/ZeMH/bZQufyLWOlo0q1TV3jjnNDNPdfJunHZ7usB5aRnr1dqyzZ2p/Z7K7frcsdcTnsWTO6etesxZ+p1AAAgAElEQVT8s7pzAd542F6bCupnl3Rs7GNvbFlRb8ojNTz+qgWTdy7YOpC35mSkogauFSB2IGxhuowF29+yThmXnN3RS8aISlrpR6yEdrVU+ApQ7dyoVMYTAXWcoaHiCX06DUM9klGxi1gw5luq6timNm/BAR7pwGG2LsjXDJ1dgQosSycLw/orgunxMuNzJXLFAhhdSMTE5Vbzcs3cMnqtviCcGsIEensl0SBHpiWiUNa0xlnby1wh8gxKBYEEabfZWZAv29/I1RsFstDI1AHF4QTTikBK5MkYs9RBxRYoGgkyt3ccTQyyhPaetNfmnm33riB4M6K3r6yZjhtlkuOM3p4iX5LEI0E2saMKUxmgr0yZbHfp3nXS2dzMAkVtGqY25l7wWC0XxCu+7QB+Mz5xEd3n1yfMGuGwGEjcz9hmvjwL9pkvO89GejOWTXjP1X/NMzzH7y79GN2lhNHSMunhOr/05i/zZ+//q/w4/ztP8gIAfdZ4navV5yNOsccWY5Z5jmfYvnkZrkXwO1jZ6C6WDfSmNVDHKjYZ1qXG/KQr9wttW64CijeAM/b+3pzCWtcCy7PQaucMdm2guH65x3b/Cr9/9WMcqU3LBgKfzT7OP9v+L+B3RG2mg7vGz8DgybN84eKP8PqHrlISEJPzi/w3/EbwM/zO6sc5KkOK3ZV7wWLT1Oa7jVt8u8loZ+alK9Dol/YJSscW4qBeVAFGzz0JpJOfakpREhpoptHAbfNcowcggsbAiWgARnxoh6hMCQXOjEVbdvF813CxU/LqKCKStk+TKvjcbpub0wu8e2XKmSXLBqZlyFFiK22qAqZKMi4Dci3YTgIGBQxzw/XJhH1xwFQMKUxCKFqE2B+wlDEZY0qdEogISURIi8jERCbiVGhtwb9xPCGjYCL6YGBU7BAHSwREHKkbLAdnacuATmjjMXP3iE4yQ64Er43aJHX4KC8PIp47WueNYUHReC8jvc+1YcapVsRhKjjstjBAIAzPXtjjL/Y3eXkYow0kqgEUNZS6NrVR2lSsoqFmge8br2hsGo23mt4WLN5PMrqo3PxyESPZBIL3M8GZl5g2y89f0yKJaxOU+P02Nzc5ffo0YIGU38eDNqUU+/v77O3tsby8zNraGp1OhyRJ6HRshfEGN0dHRxweHpLnOePxmMPDw3uu1zuoejbSO6t6cxqo03tsb29XQNSzlV4+m6Yp0+mUs2fPEkURcRxXYM0YU+Vb9LGL/pkeHR1VeRr9c/GM5a1bt9jc3ERKyd7eXhW3efr0aS5cuECr1aryQ/qckPczu2kC0XcKEOelqPebtPtR0G6orMksQg0i3QB2tW6eJfKAw9JEbtFYVgxkNSLnf4x8XQZtRGV2IqWVzG6e6dF+0ILA8eu7VZ2KIkkUSUplGNw+wdw6YWm1TXx2lWC5jRqlBMu2kVNTG9833hmwt5+Q54qBUuzmhQ3+NoZI2GeQGpgqzVQb2lIQC3tNoYtNEFj5RqE0b+6MSbUm1ZrcGI4L+8PQloKx0hwVmofaMVEoaLUCylJXrN5gmFOqELE3otUKKqZ2/yBhMMrpl8oBHyuBBXgjzdhSmkBk7BxO6YQBV5bbdC6cRz7yEEu9DtnNffTtEwqXKFd5YKhnCRkfn1itowaMzYH6Zs1axBwumpog0S8XMZLC9cn9O5+XnlYS00adbJbHcI8pDtRE1AyDZeo4yM1DG6sHFgz5a/GgTQUWWO2dsZLQtb5l9ZKOXYIzuIksqDzctOBsvGQ/exZOKrv0DqqejfTOqmFZd4ADZcHX9kULzDInYU069h7C0spgp104u2tzQMa5YzwdEBsuQ8/HLub13+jRhpWkDlfqZ+YZy1uXYPPIAsS9MzatRjuxz+fCHfv9YMvmiCzDGvTPmN24pb+W+wJG/y6a7cacFPW+k2cPq4pp6gbGf9fYP047BF+xi8KIqh57dlHIWlhqv4u6DvlRE6jMcKordNuMr1/SKieSTUG2aTd2d0RV/3QIhAKtoH1g6OwH5Msh+apBta2rqXIAQmYCWUDrGLqHmiDXRENFa3fkQLLGBAFojUwU5AUiLzBRWLnHmsi5yAqBDiSyNCzfLglThUwVIlOISWKfVxQiphmMJhSX1tGhjU/08YEYiEeaQklawqBj4RhaQ+dIE480rX5h12mDSRIE0Ls+JDrTwwSC3q6wpjntgGQzQJ5PGbdjWgcB7UNBWNbxiTUgbABEDxyNrQP3y69YG9zMS1HvNxVAh5p5nGcdG3XrnUhPm1OzfDi3z6KyTaVs2y4f/Ouv8hE+D8BnJx8HIAgVy2sjWBsxHXf40vWP8qXyh3nw6qs8zfNc4ja3ucQlbgOwxxn6rPGVOx+G32tb4PUi8IeN83tw2vfPYA/riuOCKNcaj8Wb1/waFiRu49jHPXcTXegb4CX44DN237MwHXchjWyR54ExfCP8EEtnD22DWwYM/vCs3fa1xjXxpr2GX7kCP2KfzfZnrsBl+OLf+2t8hM/zcT7LOXb43KmP8oX0I9BvL2YP56WpbwcSG+9pXop6v8kCAcsY2rbEAoXAu6WiXKafAO+cWosWm7JUXQ3A20nOgETpw3mq/riVokrXwGqown+ksLGLAnhwSfBwz9b3bw0jdzxoBXYuNFwfS66NlthsL3G+rViNFIMiYDWyIGdSShItuTUR3BwrklJxqMe8Kb7lGNSCkDaKgtxMyfWYXE+IZIdAtBAExKJbRWLGRORa83J/ypiUsRiSmTGT8gBjNJHsMNGHTLJ9Hm1/L61Q0g2EA2v2Xg/SkiIOEELSDete5a2x5jAr2NV9JJJSFmSFHf39ZvwCDyTvIkRybRSyFEasRDEPZTFPnDpmOVrh2rjNG2NJrlyfybj+kbH910oibDTKNC1sDPP5Fe17eXtH1HfMLM53+hcBtnlQN7/fIqOaRcdcBCybTKIv66WlPv3DPBPpk9xvbW2htebu3bvcvHmT4XDI1tYWq6urhGFYlfWyzp2dHa5fv14Bs3a7TbvdrnIbjkYjxuPxDFDy1+PjIptMomcTvfTUz0KIKqWGZyA9YOx0OgghGI/HFUj0gLDJ9iVJQrvdvod9HY/HlVS2LEvG43EFdo0xFcBMkoTNzU2SJOHatWtcvHiRlZWVSvLqQSew0AHVn3ORRHh+23wdarqeekaxKYfAuN+xubawKUH1gdKNn8/ZOlUBTpCVPWUtIdSizhNkJaoWrEhsfjyfKsNfeisOOHNlk9blLVCK5Nout79zTH+cc26zy/p6CxG7OhVIYqXJpzl3bg+ZvnZMK7YgstMJ6XRCptOC/qhgoKwBjQYK/+yMIdeGqbH5E3NtZljEWFqwGDtGMRQ2biDRumIkJ0ozKDUTbVgP7QjgXq7oSBvbKISwEtRSVwBuXCjaKqhJEPfLMBrlZNqQaU1hDEelYlhqpsrGFy4FtpkdK8VZE6EGCdkLr9K6+gCsrdHqdJCdmPadE4b9FHLIGnWqnj2raPAkSSWvwAN7/4zm3re49/s8ENSe6TOL96vYxRnaplmnagDpi82w4A6M+bJeWurTP/jj+/1buc1buLVvr+3uObj5oAVYWweWQQxdB6GVOVlnG3bOw/VHHDALLJBqZ1YiOlqxjNx4qZap+nOqwMVFBrNMomcTpbZOph6gCl2n1ChDy0Bm7Vp+Kow9T1TUQNBfkwdwSddeW/MdgJWfeqlsGdrjeLBrhI1XFMbuv3lol9cehYvb1hyn7eSuHnRCfV4PBu8BhaIGq4a5bQvqEC5G2IJ/xxb6uEVjhzCMdl22RjzjTAqNwMUFmdrt9J5K5ZGeFjVgNA60QmVc49NjgAXXJqBKleFBqooFk4uC9LRCaEF7T7JyU9MalEzOhOSrwoJFwLRAaCsrXdrRhNcNKhZIZSjbgrItCBNNa6CJBwXhMAVl04lU5ywVMitsDHaprFzXsYmEASYQ6DioWEUjIUw0QaYQhSaYZMhpCmmGWeraZzwYIeIY1QpAYCWoTvYpNEQTjWpZJtA/b4B47NJ0ZApRKOTApiEyaYY0hmC5BVIQjDPSsz3CJKD1Rpv0fAFLJWms0XFI60QQD62KRfrzVnMNGnFsogWrugaW90hQ/TSPyppA0APEBAsY5+Mc/dRwRl3Ui7tfrJv/nlIzdiW1PLPdmJvlz8Kzz/4xH+Vz5MT8Lj/GN3/rgxZAfQJOf+gWy9h+wpnVPbLVu+wMznHzt97FzWvvsvGEY6yM8zJWIvo1LAh7kRokVVMBZQLlEOto08GCxE59nS7mkCX3/U1qRvIabt9t4HF3zD8Htuy1hFaCmo67NVB7Feu26nMgpm7U6kXqVB19YHfqTrYHZQHXnrDnfxX4UbjBQ/wK/yU/wW/zBK9whn02Lxzx1Qvfz/Y3r9hjeobyreZFcaX3YxU9wDN+8LsO5vEuqFqXSBnOyFJtCg3soKC0daoJDpuT5RAtuyiFruMOG0P1Pt2GxlQhIoERhMKGydhz2jaqEwret2Z4dClFGcG3R21eODLsZwmPLLU50xG0XHPaC2340KiAb/c1zxWKbhBQaMNSFLIcS4a5Zj/N2OeEQ3EHbUpKYTXTBkWpM3IzpjQ5SmdIESJFhBQhoWgRiIg2SxWrGBAw0hkTEnKRMhQHTMtD8nJEN95EEDBKbxKFXbq0EAI6oQW2GisL7ZcZvbBbNQPKLY+zkqkumMoxOQl9dZtCDSn1FINmNT5DQERf7PJweZV+vsxX9zd439qIzU5CLyzoBlaWuu9k4UVpZsapmqyil6B6x1rtBgGa+RW1+f9Jhupf+jyz11y/iPXzn5sSVL9sGtj8f6y9eYwtWZ7f9TnnRMTd8+b2MvMtVe/VXl3L9DrT4+4eM4bGxrYMlkCWYOYPgyxhgS0QWGAkGwswMhIGgdhsMUIeaTxYli1jaWY8GM9Gu8u0p3pmuqq6lu5XVe/V2zLz5XLzrrGewx+/cyIis7KqezQT0lXevEvEiSUj4xPf7+/7C+DXhseLNY1BgWxDqDGGbrfLxsYGL774Imtra3zwwQfcvXuXs7OzGp6qqmI0GjGdTs99P45j9vb2OD095ejoiJOTk7resCybv9R2LV8YX9sS2wbFMLVfC6+3QXE+n5OmKUmS4JyE61hr2dnZwRhTvx4ALFhRw7YLQFpV1bk+kFEUMZ1OsdYSxzFlWXJ0dFTD9tbWllgrq4qTkxM6nQ5JkrC9vc14PK4TXg8ODs7Vfl6mMF5UIC87Hj5tEvVQruTOBeG4VlsN1dQ0tlXKABFtK2o7wKYNjM7fa1OusXwZz60hhTUcf5FR9HoRW1tdRn/gRdjYoHjzezx+Z5/T04w8lxYWVWWJt4bkRzOUaR1TieHa9SEnRysOjlMeFwXz+Yp5q5YQxH9eOB/y4k/Aofdk6YLlVF4DGWvTm7LZDnkNihWHRcVZaRkYKY6elFID+UwvIVKQdAwu1BA6R+Zj7W3liCKNMRpjHGVpWVmxtE6rilgpHmQVpYO+gcw57qYF3iHGbhKDVriyotp/jOl3oNslvn6FeGed7tGU7OEpBw9mVGXLXh7ud7W2Q8iNcK4BSFcfEz94aqt4n9ZW47Jgm7YFNfxsB9iEvaxoQYm/WAyCUwjECP0Ug1rXTcVq+uK7sHYGHzwjkHg29vDkgW40E+WtbZGNC1HxTjdEMTzZbIJrytZZ3eoL8EQDygGadQtgcXJhrN3513PfUmPVE6BLuwJpTslzq2HnQOyySe63j1f4ghXVannfeDtfFQkYph2xs0alrKfVsn5lJOmtvk0ZW8cy7srI+nY8KG4fwXgisHiyKSpk+E64H9VOPa0DcBQfa5nxsZrFTzqmnE/ls/pCWw3XHAD1kQH+tr1/TiNdeysqRtWQ4fzdLKV9rXUAEoUodF4hdVrVMOoUWCNgl20ops+X6FFBfKfL6CPonIkaqEqxUxZDiGec6wdpY1jsaTqnjv7jiu5RipllkOWoonWVWlnwjpNwxaiMlrFZi9Ia4qiu73RKieqolR+zbAedWw+KOfpsgVssUd2uQN8yxVUVxY0tnPGg6Bolz4QSSAs2EkutM5K8alKHSSvMNBU183iCqyy628HlBfGjUwFaQO0O5O+9gug0wnYcLnHkWxXFWBHNNJ1TRf8AjL/SC+eHuj6zlXr6MQtqrTL/oKmkAcU2IAZVMbx2ySXbDwKNyz7bLoPsXvgZFjMEbsHm1x/wX5i/wqu8yf/En+fvf+enJTgmwNMcXuJt3qxeJTFZvaj18QR+asL+bzwtdYi/jAAVSySONEwrmojTsA0CKAdoboFiGFsYcwDbYFO9DaT3/ZPrfr4HMq9XnpLv7kFVRk3PwxCik4JeX9AbrFgOl9jJoFEq3/XL5Tf8uHZlPd468OMHyucwlCzp8xpfYYcDtjnmJ/k1vsjrvPnZH+E1vsIHv/hyA+jtWtBPq2s8tz9/iGMq2BsVtFMgxHYowTby/8wDnrMY1fRltKo6Z0XFm05D7F8ARudxw3pNzqKInFwLG1SdKaEUxFoxjDXXB4o/dGXOlcGSf364xW+dGg5WogbmrqSwcKVjOcy0nDb9OaNr4Pmx5sEy5u484656wFm6T7acUtimd6m1BZXNz9krtYpRStfQrHWM8b0mNYaIDgqNISbyfwgrMnKVcqYec1bcJ81PSKIRzlUsy2OsK3gy/hIxhn6kz7WtWPm4+so5EiPXbrGGvIK5zZmzYuIeEqseZ6u7OFdidJ+yWnG//A6Vlb+lW/HzaAWFU9xb9hmYin5Ucmuw5FrPcJAm3FtF3J6KFTVsawm9CQmoloqKkvLjFtT68Xu0ocqBc3mIzWU20ouA8Emvtb972bzawBgAJfxujDkHjCFVdDgcsre3x5UrV+h0OhwcHPCd73ynVtVWq1W97CtXrvDKK6/wxhtvMJ1OyfOcJEmI4xhrLWtra/WyJpMJk8mENE1J07RW5wKkhcCaAGtB6Qy20/CZoA6Gz4R2GGG+WZbV6mOokQytMkK9YlvNnM1mdduPUCOpta7nF1ptnJ6e1vMOttI8zzHG0Ol0SNOUR48eMRwOWSwWjEYjnHN1MM5oNGI8HhPHMYeHh0yn04/VLbatqmH/XbSsngu4aUFe/Vq483HhvdrmR1Acfa2hOv+aVqq2KrZrqoPNtFmuD7kBlHJiMVVN/x/nxB4Rx5q1UcL2k2O6N7dRvS75nX3Ofu27TGc5aVqxyitZBoore0M6X/sC7jdeJzueU6UlSS9Gd2JcZVlflzuV0QkclyXWOc5Ky6QUa6l1UDpHohVdLQpi4uFQqybttKtFVTRKrKhKBSuq1DOWToJvZpU8Iv+dpRWlcSPSrBlDoiXcRoJtZPtMpzl9D7raNCf5omwsrUNjuJ8VTCtLpCD1Y59XFYlSjIxiWVke3J8xOstYmyyJt4ZgHWbUI9rdINpeI7oy5mrnPicPpkwmGUVhG6spPsHLtSwWhGuv5vdPCri5+NrF9y7aUD/ptQCBbStqbS9VzbEJHlACFDpREa1ugFFXAkHDuYDelcdipTzYhe98tlHVVl1q9evKY3jlLXjjVZiOBdqSXOZjtTS+BwGwybo80q48gjpn9flk06AeKnfedhpqFJOiGa9yAq2laeabdbz6WDY1kqFVRlwKxFVRox7ORk3fyNAqRFtIw7VaDL0lnG428w620jyRcXUyWfajq7L9FgOBaKdk2esTGE0FGuNCrLrTNahi6uTTUCMaYPGiJfWygJtLrai15O7OdTMQUPTKY/g/F9TFFjQo/2vbioq/yYVrKhaxSkxe3u+sKlERlVV1jaPTChsr8qFiuavIti22Y+keRvTeNMRziDJHtBLFC6VYXVEUn1nCd/skM1A5VB2BRWUhX1OAwUVdOrEhPnawWOEWS2yWgXW4qkLFESpJUEbjnNhNlVIQRQKOcQSRkTrGjhFojDROKUwh4GqWBWqZ4ZapqLJxBHmBS1PUcECxFlMlmqqDhzLZ1MnMUvY8jLbu2KgSTFpJj8dhh+jwjGq5lDHmBco6bJqiogjV72GWJYNHEcVQkS8VxVCgtOw5yrGlHFnKNbCRofcYOlOp82xbU0NNI5VrbhaE/f0xdfEyK2rpX7v4XtF6v/0c5NJNNS99GjC2pzkfB8V2jeMQUew+B1/46j/l6/wKuxzwS/wx/vzd/w1+JxZwutMs4+YfeZf/nv+IP2f+Z95cvMpxus3u1gEbTMjoMP7xfc7Yk3n/OvBP+wjIfR849Ou2AtYQm2nPP+/5QY78T28dCGNsQ+ORX7c7wLzwT3p+fgfAA+AzUte4DdyAYt6D1G/D1xHFE0i6cpFuogobah+PkFYbtw9a8z7xY3/gx3YT7sD+zz7N/uee5vZnn+El3qYi4gnu8SVe51Xe4PP8Nn/7j/9b/Na3vybq6tGF/fZDwWKzYy+zokoPRX1OYQyvy3cszqeaOSpvuGqSUUPNYtuKKj0Xm1rHAIy5K3wbDUeJIkJTYomc/1tXiq4xbHU0z6/B04OcQVTyvXmfX3g05Di1LMqKWVF4H5jiqZHiDz+xzz/6aI/DTLEsYRBB18h12k5XAR3ixRM8oM8jfZtVcUJanFJVS/BArFSM0V2UijDa1sBodIJSmkj3pYZRdegyRDvpq6hRrEgpVMFMnbCsjsmKCVrFRKZHXi3Iyxm9ZJsrbpuuMfQj5QNnZFs/TgtGRu6UtroZkVnHnBWpWjJWezwqvktRTlEqorIpDktRztE6oROPmao5750N2OwYTrsxVzoG6xLGseVaL2W3m7PXzejqPu/PDYeriqKydSCiYKCAYqWqcxZUS1UDtfu9KIsB3i4DRTgPdJ+kGrVrFy/WMbYTSz8ptCaE3oSU0vB7e3rmmWd46aWXADg7O+Pu3bscHx9TlmU9n6AKhhrCwWDAM888w+Hh4bl+iWEZxpg6fCZJkhragg01qH4X1z2sXwDEdphNGyiDZTW0tFgulzVchj6Mzjk2NjZQStW20fC9YFEdj8d0Op16+4R1Darj9vY2+/v757Z7GG9QI/M85/DwkKIo6lpLYwzz+RznXA3OV65cYTAYcHp6ykcffVRv03YbjbD8NiSe+wznVbAwNbZTVytnn3TotmsXg+LYVhdDjaPCUXkrl0buzAcYBUesffNYFf7t+lOVgude2GTw1Zfl1eMT5m/e4/DxStpkKCVJnv6skDtLrBTRRh/1yhfoPnhAOXmfPC9ZzXO63QplNDrSDIdyMZDMC/qpYRyVnJYVj/LKq35+HWUofn0FogNEJlospwEeIw8xlZOx5FZqFI/LCo2ioxVnZbiPBNc7MQrFcBijlaKqHHleoY3irKzY7ER0u4Y40nXoTJ7bOihnL4l5Z5mfg/qwrxINiVZkzvFwlrGdW8rCMsorIqNQpwu6zhFtr4FSdG9us7MxYP3hhDsfTCgyge/KeWD0YFi6UKBN/SjDtVi4038JKEKjoLVfuzi1axcv1jGGkBpoFDmUrzO0zbEY6ves8nW07WU5eOZ9eOm78uvZuqiIx1sCRmG+IWm9iMUKOljAM7fh8Irvl9iFVQQ2a8AvhM8kuYe2WWNDDarfxXUP6xcgMvw8B5RexSsiSR1dDES9DHCZdptttXEqrw/mjfpXePiYD8VK28maFFdrBBJDUM72EexfPb/dw3iND+LJE4HAIm5qLU0l83eqAecrj2W7nW5IEE7pr6vbbTSskm3tgsKozn8mJAxeBEUJt/HnfeMN7J+kHNWAqBqIaKuL/kLOKVH75EQldYZKe2CsgFjVYCIXd36eCibPGOYvCEiYqWFwT9M9dpIiqjzI+POULiwuUpR9+OLNj/jnx88RLw26cERLqDqqtrWWA8UKQ5VokkFEPO4RTZaY0yl2sWwsqNbWFtt6/SJTg6KL/UMrnNHyd1NZVG7ReYmeLnGzBWiFimPcclXDVnVlDEpRDFSt/ulC9lkyLck2IsqOwkXU/xRMASaV/0vpbo/B3YNz273+Xx3J+ExWMdjPSbdiVKnRhaiU0UKROU0xku2YbVvKgSKbaNY+sgKMzgOsP2EpR50IGyBR3rM09HYZKIbJK2d1zeLFqV27GACzNZuQUhrq6i5CYfjcOpfbGiO4+Vfe5a/xFwH4HT7Pz1R/hpNfuC6KXTvgBgRy1uEZbvOFn3uHP/nT/4Dbg2eZH61zf36LzRuHJCaj11myfGVKwZpYQJ8FXv8ReOtHgG8j4BhUofa6h/UNEOnHHlplBFCc+7EcAZMp8IbfNpt+3oU8bu3K518J34vlO13Eavo14AaMxnPyLKFIE3k/BOX8SeCv32mNK2xQEKBdE4Xy78hY9idPM/ncOv3hivfM81QYXuVNIiq+zq/w7Bff51tf/DJ3/5cXZfu26xnDzzkfh0acH4P857kcFMG6Ek3kTz+WCx+Tz9LULjrnn7fUxUr50Ck0UOCUEQXRWep+oKoichFtrartuPnylYSv70rvkv1Vj9+adPhoHpNbh8JSOUfhz6mpK0hUxGZieeLLSz4zWXFy1Cd1cFbAwN/QjzVsJAqI6WU7jPMRh50bHHfucpbeIytOsa6s11HV6ytqqdEdYt0jUh0S1SehR+QiYhI0mpyCVC1J1YJp+YBFfojCEJkuaX5aw9Vu/CLKKjaSSNQ/C2nlMAqOqiVXoyGDSJNo6sTSrIK5ln9WT7knuFO8RnMVgfzvAYxOMLrDUk25nXa4UY7JrSGtNLGG41xjXZfdbo5RAuGbScT9leE7J9ImLbQ2sTgqVWGxFCqnpCCkoFoqKlfw+5qGepnlNLx+sUXGZTbE8Jm2KtgGxqCOXbSkhgCa8H6Asc3NTW7evMnu7i5pmnL79m2Ojo5q4LkIsmGZoZ5wY2ODW7duMZ/P+eijj2o1rtvt1t9NkqReZhRF5+oX2zWBYTlBGWzbQi+qju3axvl8znw+r5dbFAXWWnq9HlprhsNhbUENPSBDbWWYX6/XqwEttM6w1taqYWivEbZBW4UMITnWWvI8ZzKZcOPGDeK4+Uc0mTEq6vwAACAASURBVEzo9Xq1urizs8NwOOTw8JD9/X1ms9m5GwBt2+mn1SzC5ZbT8HrwV4e6RuWaP/u6xYZXd0on5dt1G40aIh3hfr7x31MIaFXO1T56hahz2+MO15/fpvv0LiyXzL/9PocHS6rKkmXWXxe52q+vENtqhbdibV9DvfgZuicz0rcfslpVFKWl14swfiU73oivFSSZoqc1A605qyzzyrKoXG1PtUjqa0cpEiVKo0YEjcg/18i65NZRIrWEB0VFah3rkdQwlg42Ii1pqcYQKam/NEaR5RXWOhaLQqy4StHvRxSlxVmB4tOzDIsE5CwqUUPDFHmFMzy3Dh4XJdYZcus4zgqechAn4V/IMXr/DLPWJdlZQ3ciuk9f4dnNAfN7pzx4uOAsL2s1uAqg2FYZw02IS67TL7Ochtc/Fn7UgrqLwFjXNvr9gFdzTFAVrbekelUqKgWSQsJogLHNE7h5B3YPBbBuPyfW0dIIhF0E2QChoZ5w4xRu3ZH6vo+elHmUkah14btJ3iwzKqSWr5u2eiq27KlONcpgALG6ZtHDYlh+qG2cD+URllvEsn16K/n8cO4tqL6/Yub7Pab9RsXsrbxiSNM6wyqp2Ux7sl5hCsAanjvVWFTzWBTUG/dFRQzTZF2WMT6T13cOZFyHVySFdTZq3QDwoFirjReOg48fVEEmvqgyWsCI2qZp4LE+Qfhk1GBZqASuhEf9kVUp8OE/DnwQjtzccrFGlQ7nC7edAmcUq62I2ZOKdMeiMs3wA0PvyKEq6XcYrJ41eGtRIcM1yQvDA955YpfVfJ3BPUWUOnQpNYpBqbMJ5Ci5QIw7VL2IuJ+gZykqy3FpBrnfAc4DWRzjIlPXKTqjsJH2sKhQpUMX0mZDny1xZ1NcXqAHfVyWg61QwwFoTbGW1BZUZ5DEUwvxUranU1D2RE1UDnTl6JxVYB22ExEtK9x80ewrY1A+o0AZDdahT+dEtk8/t3RODLMnE2z9r0+RnBnKLhRrFhtBesVRDjTdI81gvyI5s/7GJKjKg2K4ofAxVbE9Bci4CI8BRNptNdo1jSEZNSbc3Dw3uwCJQSkM1tLw+joCIKFeMahz/wr8gX/tV/lj/BKPuMZ/y19g/xefls/u8/EaxpYq2SGH34A/+2/+Td42L/Gz0b8Nd7qcTK7TvXVCp+tPTnut724jSt7rX4T9LyDq3AMae2qAxk0EFlVjOQ01iqHfYlAV95fAt/w8nqW2nvIZmdfnqC2oDAvYj5taxbCdnnXMzoZiUZ13mz6Newh38v3WfgkKaHheSNpq2pcx/Tqk/+Em6bZ84tc+C6/zRZ7gHp/nd1hnwh/jl3j/33+Pf3LwdezfGojCGXZ1GxQ/VtN5SfFiDYTn6w0blbGJ43RKlDeAkIwaPlM5MCqWU4WDShUeFqXNROQhsaLAoUlcl0LlxE6ulTWKGMONfpfPbyqeG66YFTGvHQ+4OxcwXJXWX3s1iKKVwjhN5SxGgXlqnR954oDD9Al+ZxIxLxxZpRjFzT23vlHQ0Wh6dIurrLkxh71tpp1HZNWMvJhRenuqc9Yrg12vJnYxKsYQE7sOhhjjIgqVs1JLCjIm1T1m6UMqm9KJNyiqBdaW9DrbaBWxbfeIlaiKsYZl6agsnBWWCI1WsJYociv/EkoL+6sch6Xvhpy5lKw8rfeVVhFa++2oYpyrOK4+pDIlq2rFw1mfV90Gnbr0IeJhGjGOLXvdgq6xPDes2EoiPlx0+d5ZweOyItTJFyqjpPDW4YJzCbnu98GG+oOmy2rSLoPFdhuNiyE2AaKAGhTbUBpFUR1Ys7m5yWAwYGtri+l0yjvvvFOrg8EeWVVVrYoGmGtbRsPyr169ysOHD5lOp+zv79f1fiH4JozRGFO3sghtOEJSaVmWNRRFUUQcxzUwXoRF59y5Nhyh9YVSqm5VsbGxQZ7n7Ozs4Jyj2+3WyakBdI+Pj+sQnKBUhv6Ik8kE5xzr6+u89957NcReBrDt+sflckm/3+fg4KDu5xhagYCosgGkR6MR/X6f8XjMgwcPePz4cZ22ehkk/rA1i2EKN2ct1FfvdYAIzXulVw0jpc7ZUSFAhjdh+ESu9n2OSAmoPXV9yOjqGtG4T3xtm+p4wtFr32c+L8gLS1VaSbeyvh2LolYYI63qc7QLF4g3nyX64H0Gj6esPjqjKh1ZWhG1knq0UZhIExeWEQaFItEVA604VVLLWHow6mhFv7am+iAbXw8Q+Tq/3EoITkg6za3c3ZtXltzCU92IeWV5up/gcPTiCBOJqlgWFq0VB8ucgTY+v0N79dSS55bjosTi2IpifnO+wuLEJutTWUMtZawkwdU6Re4cZ0XJ2GgenqxIlKITG8rCEsWadSDNS0y/gzKaeGvI+rhHf2vCow8nHExSUuv/obl278XGgvrp98LOT5fVpF0Gi+02GhdDbJSWa3ucB0UPdvUx5W2YT9yDzWMYLKXWbroG73xG1LkAYKE3YFBFy8jPt/I3Alpge/URPLwu89nfk+9nnSb4BmQcphIrqPbBMLEHsWVf5h+Us6gUoArAqP3DePup095iGkuYzdK31VBOwLMyArF5IsE8TgmgGp/YWkWy/Y63mhAcXTVhO4UHPqfFQvreCw3Efgxgq2bceSxj6S/hYEfgNMll3cK2KCIZi7ZiVe0vYTyVdNnH203aal3L6FXF303NYj2F+kQlMHkuBAdqdVFVVmBN6xogAjAq35DTeehAN2mCADbWVF3N9MmIbFNR9h35ZkU0NYzf08QLJ7bOVluHsD66dDVguojavgrwmSsHfGt/RD6NiFJR7kzmsK3zVFAabawoRgZUF5NEmGWOnhlISrlrYi0kMS6JIY7Ebmp8T0Uj9lNVeVDMKrRPOqUQ949LU1xRonevQJZT3NwEB2VPi/W2Al3KeHqPC8q+T1g1qlZPdQGd4xxlHdlWzOg7B1jnBAzjWEDRaLG7RhFY3xcyq4hmKXrUpX+gsb5Nhyq1qJYbCl2KFdZpRzF0lD3I1wzDB5re47JWM2Vfu0ZVbNmPf7gpWFHbMNCWANuqVoRAyiXAWF74WPtKbx0JcvkLjh975v/lFnf4Cb7Bm7zKX37wV+GtbgNgwQ4Z5hEUxmGzjMp7sdf+z4Kv/vRrvHn9VX7rztdgDun9TdL1VmPGAHvrNArfbQV3bsB8DThGAK9EQHFXtkf4XvuR0iiKRwBvIrWDEQKeU+BfBe7D527ILG/5785jWZcuksD6rHxND5fkaQc7b4CPFPhJ4K8e+3EFSAxW2fC7H/cRsO9gT4nK6Nt07E+eZn8d+CzMGbHDIR0yXuJtbu3e4Vv/6Zf5zi/+uNR3BjWzDYrnLKjtmwmfPtVmxPpChfOQ4OvXcAUK49PlGztqAMa2pTVYUsPUcR2GdHl1o8+TA8dGbLnZX3KQdfjVwx6nmSOtLKVv6VD663sN5JUoobHSWGXOpa2OX7I8+XDFYTbke4XU5C1KRdLiYaOkbKijDZtugLI36KoBs/iYudqnsCusK3HOEpkeiR4QB/spHeLwcDGVKlmpJSlzFvaYRXZI5XJQmrycYV3ORv9ZsmrGzeSLOGcZmZhISwpq7rsE3c3PGKu+sIJXFYPq+MAdU6qC62qLb1S/7GE+QqsErZM6eMfoxI+7InNzpu4Ra/oq7887dHVE3xhya0i0gr4mswlDI6C90ynZSBQ73Yi3J2vcWSyZ+wCqGhSDDdWrpPb3U1k8dwBeUIsuWkwv/n7xu58UYhOeByXRGEO/3+fJJ5/kxo0bfP7zn+fo6Ig7d+7w+uuvs1wua1tmGzyjKKrVtouqF1Anj+7u7rK2tsbOzg5pmjKbzWp1L0mSc3V4AWLD1G69ET4XxhzSTtsW1KDeFUVBlmW1nTWoeEVRMBqNKMuyDpnpdDr0ej2cc5Rlida6BsxQxwhS15nneW1pTZKE+XzObDbDOVfXUMJ5ddE5V6ekgrQHmc/ndb3icrmsxzccDlmtViRJQp7ntYq6t7dXK42hpUjYx+0QoB8Ei8GKKoDYUg9b76sWDJ77rvN+eUUNjE5WEKt8HYpyRN7GMDSap2+MWH9hl+Qnv4p7+ID8u+/z4B+/yWJRkOdyAtNKxAABKIGrwro6JTUEwxilqGYppAvU9Wdwm5t0n5qzscyZTlLyvKKymk6ipQdO6Wooc87W62h8fWFXC3SVLgCZ1CwqD4qx/1k6R+YcuZXE00d5yaS09P3f1tJariYRqXWsRZqOFkDu9yOcg7yo0FqxWBRUDjqR1DGCAHGWVczmBUtrSZTirKp4lJdYP64wbgFF//eN9F5c+jP+tLQclxVjo9mqIhZ5WSuRa6OE6myF7iXYVS6qSxKxd2ONtVHMo/0lB2lOWrnaxpxbV98ssD/gmPqkesS21fGyWsfwXtvCqlrzCc8rI9BoSoGSJz8SxevzvyXhLHduwetfEsAp4gYMA5D6dPamDpK2FVICZbKOqJJrUwGztCM206DuJXlj7QywGb4PMt9gMQ31egHIQouMqFXTaI1AYBHLsoOdNah4RSwQVkZNyEwnEyh0Sl7XtgHM2L8PApF5sLT2BPbmQ1mGU00NJZxXF51qUlJBns+HTb3ist+MbziX1NQkl2UFFXVv3yuNO01LkbCP2yFAPwgWayuqUjitfQKmamxeARAuOU+11cX6OGq5FJy3MhJprNEUg4jpzYjFdei/esryZEDnow5bv2WIlw5d+HEoAUUBKA9PllolDAEsTkvq6WnR58fGd3h9dJP0isbkWpI/C/lslai6blXCc0A71fwdaS1W09hDV2UbRTG0yIi0PDcKVfrk07xErXI4neIWC5T//+WyDL25AUWJ63WwHUPV1RQ9Da4BxXjp0JWl6ogFFQSIdQ7JwmEWBa5jiKcV7nQiEBvHzXVIS13EWlilaK+OmlVG/2yJG3TJt/rECwFHMBRDRbQSldPkDUQv9xT5MGZwqOkd5ERp2QBjWf2QsNiW6+DjrTIuhtxc/O4l9Yvtt4OSOAReBP5iwZ+6+fP8H9m/w6/xk/xN/ix//ts/IwrbUWvRARKHNOAYFMYAkUO4xxNwDfi78OpPv8kf4R9z+NVdSf48Qk4ee2ljYb0Am+DnOw8AFmoYR7Jew9Z3ggU1KJ5HwNwB30Skv10/wwPgqwh83hJl8AYChSUNKL7r5xXeBwm12Qfe8rPcRmyqfNOPba018J4fZ9jYd0TuBtiP4Gd2YdgX2HxX5vV9PsuVz37EhzzFNkccsU2HjBEznvvj3+H7n3sB/k5XoHGf8xbj2oJ6ibLYmoIV1WG9Y8FfTSldv+/U+XrG9ncrivN5XHXEjcyrICNWHWLXYZMRn93s8+q44o+++AEPDsd8+2idv3d/yCSzZFVZg2Hlr8djpSisPefuqlyomlRMS4WbpkSv7HLln815No+Zl10OUwGuyil6RsSC0sp1WqwV1kokDyBBNbpPpPtYV2BdgdGiKMaq56NsOiSuh3GGQhUs1ZSUOSt7yjS9R1ZMiIy0aimrJcPudQq7ohut03dDhnRZSzQObz/VcJZZcgp6xjDwN97yCpaV4zSznKnHdBlyZOfMVvcBi1aJ3IlGFEXjax2ds6TlGXnle0uqCRNzjwFXuF48zaTo0tURkLDVUUww9CPHspLr3ETDc2uKzc6AD6YdPqwes1LT2npauqypYfy91Cx+Un/Fi1D4aZ8LPy+1ILZqEMN8AlyBWEBfeOGFOtX06OiIX/3VX+Xk5ITFYnFu3u2UzjiOa9gMkFZVFWVZkmUZSZLU9szd3V12dnY4PT2tew8ul0uAj9XeBfto2DbtgJ12+44Ah+1WGUG9uwiKQflUStW9HefzeT3G8XhcK4BhnSaTCf2+HMCh5UdQ9Y6Pj+txHB4ekuf5uX3VBtm2ZTSsR4DtoNT2+336/T5JktTvx3HMarWq180Yw3A4JIoi1tbWODw85PHjx+dafITnHz81+WPBtevfXP0H/7FjisZiGpJRazdOCxitX5YocAJaAF2teeXJNa78+NOojQ2qR4fMf/4XOXm8ZD7P67HI/m5uYMSRoqwEEuNIUVmoKmkhkVlHoqFcZLCaw/VnUDduwuPHdG9sotQpq3nmjylvpwwJpFZAD0L1gZP+Q0qhHSTQaotBDYqxVxQvA0WNIrUyn5udiK3Y8CivGBnNqrJsJTGRkb+7snJERnG8Khj6C9huN6KqLGkqf1OHqxytZNn3s4J55c4BfKJF/dSE2kIvuHjFt3SyP49LS+YKRsYwNJrkNMNoRWUdnawimqeYJEJHBhVr+uMeT8aajXnBw8Mlj/LCq8WynACNn9Rf8SIUftrnws/LQCEAYw2WtoErgCSDF77XpJoebcOv/kuSzLkYnJ93O6UzDrZVKxfDAVpKrxomhQ+V6cHugdgqTzd870EngASc6zEYEj8Lf2YPKaxBKQ3W2ABQ2gNBgEmnLwfFoHwq53s7LsUWm/jgmfHEK4ABoH3gTl9OpdLywzSq3vFWo2Ie7sgy2/uqDbLtvolhPQJsB6W2v5RHkjfvx7nAdmgDYiqBxaiU/XS4I30a2y0+wnPUJ5ypzsUvfwoEWCsqYisZVbXgrQZG56TXotYQ+V6EQNWNOHmxw9nzDjsqiU4iym9ssn3iiBe23rehbi5sNxuJHdNpsJH0GNSVhLLoTAZgUjjJB3xldJu9rTMeTq6QbYqaGfn9pUvxxDZN6cGETtNaNYXnWjy8LjKgBQ7FfirPbSyK4mWgiFK4PAet0Tvb2GEfPZnhuh3MqiTdjHEhNKqS46d7WlIM5OAOoTchgLP3OAe/7M6DM+wqPX+dEkWoOJb/GdZC+N+ntV8PAW89XdLJS+ywSzmUgJ1wM0d7S6yNveJqoBzCPDKk4y7D/Yju/lKA3zkB6VJ63F0+tUNtLtQhnpvaQHnZZ1rA2Ia8df/2DeBvOP6zZ/4Kr/IG3+AP8nLnu9z95osCRWERAS7DLINtteufB+CbICCzDQ+za/AE8Hfhx7//Hb713Jf5Cb7Ba5+tuPvglsyr3WMwPI78ctoprODXz69juz4x1CumfAIoRggcxsAfhWgXyu9D1JdMmp+kgdQA0L+OALTfRnbeb1S9X2gt+xdA1Mp2reIIUT8jBG4DxAXFdyVjmR/DL2yJqvkisAePu09CCsd7W9wbPsH6YEKPJX1WPHf9PR792WvMv3YFfg74e2GfOD/PmV/WJ15N1e8FC+plU91PsZWMqutrKWpgDMqTIUYrQ+JrSod2jZ/YuMIf2knZ6U64u+jzv//209xfCBThg3Csg8pf4ygFHaUofBuwjta+ZtGRuYqly+m5mFmhcGc5vLzG1Scf8XA25Ga/RKuISe4BzOJzDajVyuBEMsRoDFppNDFWaaCDJiZRfbGeelDsuA6VKi8FRaU0lU1RaMb9pxlFe0zyu/T0BlM14ZpeE0h1Dn+Pj4f5gk1/A2EQawoLCx9GcTefYLTYXt/ndyirebN/nMWYhMh0UUrXaqhzVjIvVIR1JQrNtHxIbuasqT027BV6q3UiZSgdrCrFVCs6Wmo7Y+3Y6ig6GxG72R63Z+u8r96nREDRupLSZr+3msVPA8GLn2tbTS/2U7zMotq2owZVMMBHaH3xyiuvsLW1xeHhIW+88UYdwBKsnAEqg6p3MYwnzL/djzGAXAiWAbh27RofffQRs9mMzU0ppA7wFQAt1E6G4Jgw37CuQa1rLyP2dzSDeheSVIOq2Qa2jY0Ntra2mEwmDIdD+v0+3W63rtcE6prFLMsYDAYMBoN6TGEZ0+mUoig4PT1lMpmcq5Vs11O26zjb20opVQNxWG5ZlpyenrJarerWIiFER2tdJ7I65+rk1tFoxP7+PicnJ+fSY5vT2KdPbRtqCUR1pCUfS0bF2xY0+LazqoabAFc9o9nuxDz/Yzfo3NgivXPI49+4TV5UlKXFWelTY0xLMbTh+A9nULm+s05AEcRnH2kBvaKwMJPGqtx6Hr73Dio5o3N9Ax6ckqcFSjlUaamMwlppSxGuA6SJahPwE/u7cUqJ1VMT1DwBxdDKYlFZTkvLtBQoC8D2VCfiyU7MflFyNTEMtKZnNMYoykr2RGQUaVaRWssoiRkMIuJIkRdyXKZpxVkp798vS+6mZW07DVAb6imDMixQS20N1krVKmNuQRkorONoVbB6VBFrxfVrA8pS/u6M0XT6sajCDkbDmJvRkPFZxv1pxkFRSG9H5M7ip4Fge2orR23F8OL77d/bdtTgNgygGFpfvPKWWE0Pd+CNH2kCWJwSaItCFohuIKd9Vg3zDyAZAmS0le8vPBReewQf3RSA2/SlPVlHtnkVNbAWGchb6xBqH6GxmobaRu1EkQsgE1pZFEmjaraBbeNU1nWyLkE6/ZVsh6hqxm8q+V7WkaCZwVLWJ48bhXA6kmWcbsi82gmt7XrKuo7TNj/DvggqY0ihLSOZ36orIL63L+Cd+2bu3ZTanjlcQPwQRnOx9Z5snk+PDQE3P3AKllPlEKO0aWoXLySjggc75cNePHgKKApcVb2IdCvm+GVDtmnpPtYM3lLoAnQpKoEuXdNz0YoSWFtYw37Xqrb+ht9tLLWDuoSjVO5ifOnKR/zDB5tYo8k35DxnMrBK2lBY44+NdnsQK+ewujWGEfUQJb0U0QrroVFVDpOWqFWBynLUfIldLmW7+BuIZm+Hcm8dczTDro+ww4SqF/nv+/O9gShzmFVFcSWh6GsB40L2fZQ5okmGzgrM4zPswWOBQ9+yA2NQSSx/HM7/cwkBRcEarBQq1GCWlRxnhaV7XBCtDDZWzPeMtNnIZR9UXVk+TkKBZjcisrURw4cZ8eFc5ucc52W0T5vaKuLqkvcvWhADoLR6MrZB8RbwdfjD//E/5Cf4Bv83f4S/9s3/smkzEVS2UMPYtp22p1AD2e7H6EFuNhmBbx/I34In/ut7vM1LfIXX4DocnO2QR5UodsE+OmzNux2aE8YfAHK79TMkt973j7IA3kFIMABbCfwJeHEX3l1C9JyoibdoFFL88zCfVxCIW3dwpGQW95H6wSPg/n3gHyFwGLZzu54yKKEhmKdHA/4H/rUCIm99/Sd+yOtg/7RhOe8z399GD5dc231IiaEsDcNXHjP/c1fgS7Jd+XVFA4or+CGvpoIPx2F92whq10l4PySjWgU469NNpUZRK99OQnVI6LFm17kRjfmXb2hu9lfcXnT5pYcd0sqR2wrrILOWOHQzcM4riuJOCJPx1weFvzYwKDpEGKXJLZTHBQbof27A2vcLOlmHJ3ryd7Qo5c86r6DQEFkly/Pnu4qCghTt/yYiumLvxNBliELTc32Mi6hUyVydsXQTUnvGsjgiL6dSw+mBbTx4lmvxqxxW32M9uclIXWHNrhNH2o9frgMXhWOuFmzqbdYTQ6JFcbQOFqXlUN8ndVMOy3eZLj9A6wSlIhQCg5HpYXRH9pmTFh8gtYzOiRKcW+GW0mZoY8hUxv18xqzo0tGG58YxhYVlKbA4jHyXAAebHcXLuseV9DO8mx7xQL1DXi38sfHp1ubfl5pFOA+EF1XEi++11UTwF8NJwmg04uWXX+bmzZsMBgPu37/Pt7/9bVarVV2T126f0e57GECoDXFtRSt8NsBSUBqn0ynb29vs7e1xdnZGmqasr6/XvQ9DUE6wmAYYDfMBzllm21AWYDDPc9I0Jc9zZrNZDZzhe9vb26ytrbFcLrHWMhzKmXQ0GtXrG2oHT05O6PXkpBRaaYRtenx8XH8mhNq0ITrUUrbTYdvg2LbrBkg9OztDa10vM4TcjMfjGlTDMjqdTg2Q4/G4trLev3+f6XT6Q914aE/hFIdT52oXz4XdeBUxgEm4/tdIs/pxZPjCc5uMXr2BWhuRvnePu//POyyXBWXlzrnFtFZ1LWL4PYo0zlGriqF20TlRt5yDyKuZZWkhz3CTx6i9m/DkLczxMflyRrI3JspLqlmKzQq0LqQXUKTQucBf7BVEnHS80QhwKdV67mEwdwKKs8ryKK+Ye3jNrSh9L/RirsQRcx9uM/IXRuvG1EE7RWmJI83jWUZfy7Hb7UaUlcP69X28yDFK1WmtIOutPbyGWsrSSa9FEMgN9tDwr6x0Eo6TO9jPSyIFa5HhuITNyJA8XrGx0SWKBF6ryvrxGLJMrLIb6x0Gg5ito5QP0oz9vPyhbjy0p4s1ip/2XltNDIdfUogF8+Xvws27AkP3b8C3vyhwVRmaO7QImIVaRGhAqA1xoXbRKZ+GqholrIokNXQ6lsTQvX0Jhkk7ovCF3odF7OfVb1k5W/OBRsUM72vXUu+MwFzakYTS2ajpjxiUwu0jscIu+zLm4ULWazRrYK40ssyTTbGI4nwrDW+11RaON/1nRk2oTQ3RrqmltLoJ5WmDYx1So6lDhc7WZd69FbDehNyMzzyodmQdlR9PsKeOz0QlXZ/Ifpyu/XA3Hs4dN67Vc7FduyhvUt/Jcq4Bk9p7qnAdQzHucvRqh8UTlmpg6T2A7d9WRCuLDtHA4djUTS2i/K6kztA5ryqqpnbRNSphqFvUpSMtY25nu3xhcIdv7DzNZLqJmSnysUOXYlXVhSLSDmUVyrgaQF2kcZG30ZZW1LxIE3z7Vu6eSYhNXgkophmcitoH4IoSFUfoa7tUG0PMLENVlnKtA0qRj6NahdWl1FF2j0vKQSR/Ox0B4XCTo3tUQKRR+1PcwsujVSU2YRQqScQyW1nwN0OJonP7Qb5jIY5QZUV0NBOFdNAlOYZ8s0cvVmRj2d4mCym2kiSrvT01GyuKfpfeZsLwwxn6dPa7O6AubZURpov2VB+s0lYct4Evwfjv7fNnOj/DM9zm5/kp/vKv/HUR4EJD+LYFdHLh95CYGlTFdiuH8H1vbbWTAWzJMvkl+BP/yT/it8ef44AdvsTrzMYj7o2f4HR3nf3uE5DGTUhN6ZcV4DEsL1hPg7oZ0YTZ3AfKJaIoPvBfnCLg9lNwq+/7Oa7glb5890s0FtqJn+cv0vu15QAAIABJREFUU9cqcgOYq8Zq+8t+DEdv0ITaeKWQGLG7bnG+Z2QAx7Cfwnc2ZXy3Y7jdg/VYFM2vAdtd7NeA9RR7f8D9+bMQlWzeOORkfwu6BXwtgheVjOl/2IXJfX7Xl+6tnovt2kWgCbvx72klyab+qguFoaOG7NhrfP3KJl/YyNhMVrxxNuQf3O8yzS2FbZq+g1yrhFpEEDBMvJupsE4cRV4NtEjojQNiZYiVJq+gWoF7eIx6/iq3rn/A/vd7zMuYa92KzIpVNa0UppDrstI5jL+R3qFLShcUlC5Dq4iYLqFvZMf1UE5TqIJULVi6iSiKq3sUldxRcC5HqYTt0ctsmac4c/tUrmCDqyhn2NGj2qqbVY6OUdxPF4wZoVSjKlZORIZ72ZxYdzjIPiItTv0yRClEaeJoQKR7WFdQVnKeNDqpFb+gQFpbEJkepcs4LN9Dq5ih2eEhcLW6SXc+ZrcvoLoopVZSK2k9sixlLLs9wzjZ4f5igzfi73JSfPiJCnSYfuARdxH8Pu2Cv90mIQBKCF8JFsgANiDA1e/32dvbY2Njg6effpr19XUePHjAW2+9VffzC7V6AWLCssI8i6KoVbygPAZwC+pY6F0YXgv2zOl0yng85sknn+Tu3bvMZjOWyyWDwYB+v89yuazB8OTk5Fzri6DCtdW5oCoGUAxgVpYly+WSLMvq7RFFETs7O2xtbQFwcnLC2toazjlGo1HdlzFs19Arcn19vbaFtvsmhu0V4Lq9D+I4rgN6wvZsQ2LYXhdtqSFUZzab1du+LEvm83kNs2H7hJTW0KsyhOwopXj06BFnZ6K6BQUqTBcDBtuT3LRxlC40n3dE/jTmcMT+echk6GpJ+7zRSdja7LL36lXivQ1W797n6N4HTM6ypu5QyfxjHaxKonzGRmwSiZE0q7y0AoXGw6m/MI6UIne2TkPNskouOiaHsLELz78C772DUnPKsyXRxoBo3KM8W6HjFcYojk/SWolLvRCR2UZd1F4ZDa6vYMPMnSiLx4VlWkr/Q+uB7OV+wrUkxgH3soJrSYTDMY4iksSgdHONlGYli8qyFUckscZoUUidgyyvOClLSuc4KX1ojhIVNVLQ15qeD91Jra2b1Ydxh5pGsaI4D7yQO3kc5iXdYF9dZEzTknEvxkQKY0T1tNaxWpXEiU9HrhybGx3URG4G7OdyMXUR/D7tgj98tg0o2jYWxAAmAYCiEvoL2DsQZe3pD2D9FB7cgLde8f38TFOrFyAmLMspqWksIq/iuUZ5DOBW+fN0VMnnwmvBnjldE6vnk3el5cZsJNA2WIj9ctn3alwpoGasXyfdqHBtdS4ol0E1tFqgtPQBMlmn2R5RKbWSW0eAkvmvncm+Hs3F+lkneeJ7RfYEwJKCj/VNnI5l3gGu2/sgLuQRvnMuZMg12+uiLbUy8piN/Lb323g+9DBbNeBsdVODaRV1yI5y8GhPwFN2nsXZ5h+oavdUvDjZMBAIyUTOGChLsTkGMAmumziiGnVZXu+TbmimT0GxXtF7aOi/rehMK98qwtUBL9YXBWvn4S9S6ELqC8Mxhgd/lAAjiB3V5BKwoyokVVQ5Plxu83z3EX9g7y6/eH8dNzdES0U5kACXaKVwvuG9PnV14/tQG6nyslkfrWvlUlRDqZHUeSXq2myBWyxxZYmzDp3EqCeukV9dQzmHOZxQba6Bg3zsrZ/+piBI8E60KMm2EmysPDD7YyJ3JKcpqrTY+UJgUAu8KqOh04FOIq8VpQTchJO48lJ8UIBdo/yqspLHZI6LIzkPF5ZkFpGvGUnUNcqrrw6Tij012HfTdQ1Pj+jfN6IkXQp+nzRdTEMN6uGMxgIZXgPoC/j8NPB1+Ne/+nP8GN/i5/kp/rtv/iXp5xfsowH+wnEe7Kfr/v2g5gXlMYBbqJsb0rScCJbQMQJk34L4f4Rr//lD3uElPuQWz/I+t7jDHW4xujnjzvApin+y1iSaBiWzrS62lMt62cG6WjokzOYOjdK2Cfxp+Lof8537sO1Dbb6E1CSGzQgCnLcRa2pQLcP67iMpqHMQ5XKKAGKwl+76Rw+xvfZaM44RaAx9M4PC2PPzKWDiw3v+P680/g7wpa6HbwXDmJP0uqzeNo199yf9EP7WDbjt+wTRblRx3rFycRK1CiwlymmUsmhiqirHaStg4izayHEZ6x7r6jrPq5tc78f82JblRn/JG2c9/vGjRPr5OUtuJdm0co4kuA2sjCxRmsxWdI1B43sy44iRv7ky3GDWmtRWGBSlsywrh9JgH04xN66w9uUOozsFj7OYSaHZTCwbScVpLv2iI6V4uFREShM5TelbZORuXquLhoiO63mLqqJSFRUFKXMyN2ORHVJUU5zNcTi07rAz+hw3eRVrLfvV22zFz2CdZc9t04tNfQ0JohxO1Izraouu0RgFuRcklqXjkb5HQUqaH2NdDmiU0igVEZsBsRlgVERpV2gd1TWEodWHRmN9baFGo1VM6TKsyzgt7hLrHvtGkxUZx5Mx250OsVbEWlTPyipmhaMbyc38ysHVfoxevsK78ZDD8r1POXp+n5XFy6YAjgFCAqR0Oh2eeuopfvRHf5SbN29y584dTk5OePvtt0nT9Jz611YG2203oLFKBmgLdscQUhPAMYwDqGEmJJDO53OuXr3KzZs364CY6XTK5uYmm5ubNYhmWVZbYAOktusTw9ROYU3TlMViUddIhjElScL29jabm5t1ouhwOKxr/8LPsO6dTof9/f26VjH8bKuKcRyfqxUMwBfqFMP2g8Z+GsYalNH2Z8L2arc8CTC9WCw4OzurQ3aGw2G9zp1Oh263W9dSdrtdnnnmGR49egSP2tHTnz7VvQY9MAZVUZQt6ntfoUZxLdJ8ptfllX/xGeKXnqV46/tkD0/58DfvkaaiTgVQdLi6p6FERXuwdo6iEliSO2OiLFbOUZSSDipAqUX98qdnKa72MmW6gukx6okX4IXPEE1nlLMVxeMZnWvrdK5tUHRj0IpBJm0rct+2AicQpJXUKIaTv1agUFRYlpXluLSclbbuzWidhPa80I/ZSyI2IsPdLGcnNoyMIVKKURKRJNI7sSws3a7h/iRjFMl+H47i1jGlOJxlJFpxe1nU9YEB+BIl/RuB+oTfAG5QdsU2K5/x78kS6sSz0iuNiVasR5aTsqSjJIhnLYn8MWXpdgy9XkRlHVla0utFvDiIGUwus2p98vRJ4SUBHAOEBEjpZPDUh/CjvyntL+48JbD09kuiwhnbgKKjUcLqthvhGPMlRUVcswRWCxjaAKmlV7/8mOKyGVeeSI3g1UeiaIaAmOmaWFI3TxoQzbrUaabGet0h1Cd6tQkaSCuN1EUuBr5GstvYTpNcFMXNE58oek3q/oYLmedwIXZW52Gzk8H+FYFraH6GbXq8JbWEj683MBqAL9Qphu0HDeCGsZqWUho+o1rrE7brbA2WA1mnszXZNp1cxh5gvePbi1hvv+2m0gvz0bXf1SEF1oqCZWnuFmigqsTKqjyE+BpF1+swf2GDgy8Ziicz4rsdOqeKzXcUJqtElfSgqJzDtzrzKlpITXW1YmhyV58nlXXoklqNtJEStTG4RmIfXKMcs7LD3XybPzh+l3924yZni02ilSKeKfINR75hBcyUwmQKZTW61ZbDxb5O0TTBN8EGoXInianTJW65ws0XuEpa8eheF3V9j2JnRL4e0b+7wI4HVGsJNtIUQ03le3TqEsqOYvQwp/Dnp3wQJFU57npHJTaJiB/sY33JgwKxoIY6Rb+f5KDS/iFgG4J55A+1gUgXUUOkqizmdIaeGaJZj+Q0lhCejqYYGZ88Kwpj2ZVtbDJpRXL2/AC+1UoE/YHTp9nBgtwWQLEEduEvwZ/6r36Wf5e/yf/Kv8c3+Qp//2//tEBRCIRp206hUdHCVWB4/6i1iNS/HtTEUMMYvhNqCAfADmLp/Dn4M//Bz/L++Fnu8QRv8ipf4TW+wmusMyHaqnjnxS808BcUv27rEeYfVneCwNP8GKG879PUCV4HfkqUuh8H/gbQvSFjCamr2611uYHYOl/xywg/S5p01G1g/9sI4LWBr9XzsbYJB2APqmOARWhuoSmaYJxSvnt0Av90BG/1BU73/ONzrXW+gVhog/32FvDfAD+zJkrjDznVQTf19RQeHAt/jeOD9nSMc5ZetM6Pqq/wb9w0fHH7hN98vMm9leFX9rssypJIqRoULa6uSayc8tdSYjnNvWKYVlVdPlM5R2YlGdUigFnaRpXsaIOvksEtSjg8Rf/ILV7+1nucfO8GZ2XCQaZ5omd5sp/RyxK00ixKTeUMaRoR+YTe2NcnhhpGkJvdoioumaljpuVD0vyUrDwV2ykOYwZsD1/mhvoMe2rMW7zDWN9g0+7RocNm3KFrmpZlg0jzvcWELcagYKPjVUBECPgondNVAx6mv411eV1LqlSE0VKnKNtP/gFqFYmDThkUWpJbtQ+zdKH3pZFKZSX7zrqCk+JDpvohJ2aPh7mE8AzoshX10ErswYPIMIo1lYNFYRnGhi+rZ3jXhuP68un3BRYvBt5cfC+ASbBBrq2tcfXqVb7yla/gnOO1117j5OTkXB1fG+4CzLRDXrTWdV1hG3Iu1i22E0BDkEyAqaqqiKKoVsleeuklHj58yGq1YrVa1QE0URTR6/UYDAa1zTLM5+IYw7paa1mtVsznc1arVa0uhrq+nZ0d1tfX6ff7rFYrnHNsbm5irWVjY4Nut1uDYjtwZjgc0u1267YWAXhDPWR4LaxzW/mDBq7brT7a+6qtnLbVybbCGSy6Ul9m6rHEcUySJDUct9tzGGPY2Nj4oY+ptqWhViL92c7iD1zV2CC3YsMT/S4v//HPgHMc/V/f5OgoJc0qlBLraFUFOBbwCufNyjlio0XVKwP4+HHY4LVvjm1dH9cKVwlVlNb3XixLiBPc9AQ13kZ96V9Affg+0Sylmq6oFhlohY4NZtRltMzIswq9KL3FtIEFpeREE25DVM6xqCyHRcVpKe01wp26vcTwQj9hK4oYGs3CJ43txjEl7v+n7c1jLMvu+77POefe+7Z6tW+91HT3TA9n45Azw6GGNhWLFoeirIiWLEtWFBmWAluwDBh2EAQJnBVZoDj5wxGCRDZgBYkSOnYUWZYlWXIEihBhWSDFETnchhzO0j3T3dW113v11rudkz9+59x7q6aHpJTkAoV69d5dz7l13/me7/f3/bLeiel0Ig/6ZdZuNBYQuGQUnbYwi3nh0EYxn5dMS2ETg1kOjspsp+0dWkFYQqCO+mj8/1kn5jexZ0wzzzAKUxpyNGXG8awomSpFoq0UwTtHS2sSpRjPC2bzAmO0gP7MEhnFeuvdDCHeuVw0vLn4WQAmQQa5OIRLe/Cn/0A+/4MPC1Bs1vEFaSO+30whbFWpfWahk8xBOA9yAvgJnR1eayvgTakaTJVGzmfcE5bsyVdg95Iwc7N2bUATFSLD7E1qmaVyNXsXjhPqA8O5zLrCwM06AqICC7gwFkZxeSDs5awjg/PVY7nulVMBWE5B4a8pGM4sjOWzJPfGOFbOad6WWsVglgM1iA11ilDXPzajPpp9ZQphC8voPDvZzNEMEt20JfsNERtxJuc16cr5hDpOqwXPrdSxV9/BTeUqCaO4pFIDxlDAi5ZYiTiiWO0xudpm/0MCQpY+26ZzYjGpSMOUdVAi4E7J78pcxecgokB7UxfnH98hLoPGPR5eO63QzifM+vD4vDS0Tc6d+SoPJ4f8petf5B/sfYRirjAzhZlLnYuLoGxD3gsyS1VJTCuNmWfiAoikdJhJih5OBCRmOS7LwVnM6jLu6hbpWod8wRBNLcpa0s0eunTM12K5Rg98nYJkInLWfNFQtDU2pnJHjVKHmRborMB5RlFZK+yhMQIUAxAswj+gJUR9VIt14u5qDCovPNBX1U/oW5UXMJkTzTKIDLYdofM2ZUucU+OJI5qDNXW/nav3/LZLUx96kYlsMolbwKIAnb8G/8Hf/i8oMXz03qfhX7YFWARGLoC75k+QkwaJ557fbbN2sbkujdeBhYPzktQz4GngZYh/Bj7wyy9xhx3usMMulzGU9Bmxwx3237vFyd6VGhg2AWioWWw6r74OzO8iTN+J/ymAF2D5I8K6PR7WA37Q7/NFBGAF4Bshhj5HCCi7Dqw7GCg53l0ElB7hjxHukQ7Qpa5TxF8wnI/6aCxhkFKAyFVj+btiHf0xBrH8fBUBiwP/ex2R096mlu2Ges8X+Y7B4jmTG2fPAUZhqQSYJKZHpLtsqBs8Ge3wl2+UWAp+6Y0N7k5KJkVWZToXOD+OklpDrTXWOXJnSXSERjG1cuPEqq5d1PjnSnj2o2QeTSlS/3nuBGDaHFRLY/fP0NurLH9ig8u/MOMsjxjmmlEhzF6iLYuRYrWlmBUaozTKaQqVUkV9oDEuwvj+LFXJmTpkmN9llh5R2jnWzsFZ2skWl3sf4LK9wYrqMLRzSp1zzT5GTsHVpE8/1hU7pxWcpiUzNWddLbAQG9pGshWNkjrGMzVmriYU5UyuWuEjMuo6RYDSyoO9GfURFussieoSqTaZm1K61MtqDUqZqs4xtzPGHDBVp0SqRUctkRaX6SKRG4MsZ5xrIq8KK0tHpBVXo6VveR99R2CxaUIDNQBrvv8ggNZ032y1Wjz88MPcvHmT7e3tKh8xGKA05ZFABTCC/BQ4Bz6CJLUJVAOQbMZmhPMI6zXzDufzOYuLiwyHQ7IsY2Njg8cff5zRaFQByQB6tNZ0u91z9YdJkpwzz2kCp+FwWMVwNOWeGxsbXLlyhW63W53r3t5e5Xq6tLTE4qI8jAKDCVSsolKqqh8MLOt4PK6O2YwLuQgEmwZEzXa7yCo2ZbWhXS/mTgbJKVC1UzjvIKV90LZhCSxVGF/UTqj+fW9SE5amU2riwUrfaN7Xa/PEzWU6j2yRH4/Y/+wtDo9mZD70tXCuBgiA8bPOgQRUQMuzhCBgqNk2hRUgGUXCcIWaSOXBY2AAjdfjMx3D8iac7kM6Q21cRX3gBeLB/40rLToylFORQCujiRY79DPLbFaQzixtqyhCm8hjgI7WZM4xKAt204JZAKa+XZ7oJDzaabFgNLE3sLk7yliNI7SC9SRmeVkeRnlWirkGcDgXVlEpRbdby7uVUoxGGYUTh9W5P55WInNt9qH1rKtRIm0InyZaVaxi7mpZbfidOSf7qr40hGUc+AFdWysm1rIaRVJrGRkphi9KCle72zYeO7UJTQMYXXy/KU99kPtmK4WH34Cbb0h94Flf8hGDAUoAc6Em0Sov+XQ1PtCuZgktIn9sAtXSyOdRUQOzcB5hvSrvUAmgWRyKPDJLYONAnFdHiwJKo1JYTu0Zuu7U1x+2Zf0ka5jnWNl3kgoTOFwS6WYwdwntsnEIV+7Jvkwhx9jblho/Y4VlXPRjpTz2Ekhgb0vYROV8/SB1Dee4L9c7XKqvO4DcZh82DYia7XaOVWya9ti6Xc/lTrpacgry2bztz9vB4shfs8+FrLZ19Tg1GN2oCw+qwF7Jt36j1qNySrU1q9VpM3lig9NHY2ZbjnikWHrV0Tmx6LzwpjOuEXMBGFcxjCDAyMZaGEOEMVSuZgxVKXV9LlIV4xiuRTlhA8W9U/7nxmnCje4xb0w2GJRdXui+wWduPsqr44c8wEEiIpRnjTu+hnGuMZlBtyMBjHi20yjKtsHklvhohhqMcGlK80FlrlxlfmONfMHIuRpF9+6EfLWDM4r5ckS66Cc6czkHgPb9nLwf45Qi76jqulCQjC26sJjjETbLCS60qgkEnZdelKWAyIYcuMkqqrI8J6uVm6r0tY7hplKo0sLU1xTFEXqaUax0kVrLWIB9LvWMklnZnEAPYDCc30Un1OZnzc9DZMMqcB3+5iKrP3+PT5hf5+s8yX/3tf9cwENg6prgKwC8AB4DCNzmvOFLE6cGIBmkqUVjX2F/7Xq7+Q60XwJeADbh7NfhJz79z3nle58kJaHLjH02iShJyLhubjF4Zhl728dUNM8l7Peqv57fB3gFOGicSAz8NPzwojen8dv8rwjD2EZYxg/51Y+ogfAnqTMeb17olpf99e7tI2AxuNU2gWDOeVObZvZln6rPzmH9MOifIqAzLMHIyCuu9tbgN7dqdvF5zrO7QTp8bkglo6ba4srf2xV7pSvQBFSvnbOe1erQjpZ43nyUP7XR4T0LBYeZ4dMHEXfHBXObYpREXYTYMuucD50X8Agy+dtShsLK7Gms9TlPCAGSmkTpipGU8/HCC7yM1LuLZmcR3SuL2DtnMJnhHrvGez/4hxz+qzaFi4mVY1xor3ZyLMeOeVsxzmOmWYcpi+SkvrnE/XTB9Zgx50C9zjB9m7yYNFxANWv99/K4/m5W6JBEmlhrvlG8xiV7gwjNVrTEZkeeF/OiJhXeLk5YYwmlYdGHQFo/PjxJc1I14yh/ndLOq/4yuvqWEZMhJ86kWnmbRg+yI12zikXDtEcruQlKlxLrDmUY96CxLmdWSC3tRHeYREdscAPlDFtulRJHWkLuSlp+P99uSuv/FxlqYKGCK2a/3+exxx7j6tWrALzxxhtVHl/TVCWwXU2n1AAUm66kF11IQ1RG+LspmwzvhW2CjDTPc0ajEUmSYIxhPp/Tbrd54oknGA6HvPLKKxWTF/IK0zQ9x6A1jW/a7TZKKebzOYPBgNlsdk6CG0URjzzyCDs7O8RxXLXX/v4+SZKwsrJCURRVPWKI6YjjmNPTU4qioNPpVIC06VQajHmaRkChPrTValWy2wAEH+SAGra52A9NRjJs12zbcA4hliQ42oZ61FAX2u12zxkSfSeLbXzHBhaqqzWXEsNqZHj60iKbN6Xe8+BLdzk4mJFaW9304qgqgzqt5FFqG/utQI4VSapWUg+ktSKJNUUps/wyuazqSIgwgQ7VPsvSkmQWNzhFd7q4USQxGp0e6tnvgeMDoj/8PDYtiBda5CcT8uMxxSwjzy1xYminJRNlsU5mpDpaYxDQdJAXnOSllEQpeRC1teK7FzvcWO6QxLq6rt3TGS0t7q9FYVldbdNuGYrCkgNJrDk+mZM5x3pk0FrRahm5XqDILSdFydSKy2rm2ydRcv19o+ga7XMgpQ0jBXjWMdQnhm0KBwW1jFVApCILtZkaL0mtO3xuHfOs5KywtP0MWKLkuAo4LQr6kSErmwOxb780GcXAQsXetKY/gsdelZxEgDceqfP4mhmIVnsM4c5LSsEzip5YKi8AmjivQVuIs6jdN71yUdf7zGP5GfUF8JlSwE57Dk98XcDjK096Jm9e5xWmLQGCcSagUHc8qC0lrF5ZkZ0OloV5a0pwowIeeR127sr5hvba35JzWDkVoLc8kH2XkRw/LsSJtIihc+oBaQOkBpA4bzeMgHRdH9pKfQ2hroHigxxQwzZVPwRw3WAkw3bNfgnnUETSPpEHwFEujq6qEElvdyLXUH+NfwdL41kotYlW6uSWFylWupw82WNyRRpy8U3oHJUVkxjOMxjSOC2MFK4GisHgRVmHKgREKQQAlrHyADIwkY1tPdBTJdU+TeawseNk3GElmtDSKxwVfTaiM376yr/m7476nL266iWVjmiiicdgUgFANoaypYm8m6szWpxLNUTTguhojJrMagmuK1BJTPm+Rxhea1PGqgL/vb0c2xL3V1045stajGIKBzmUsaJzWqKzkmItFsDsnW2lXaB1mqOnGc7XKrrSSo2odahuR9jDwCQaU+VbNh1QKa0AxtICtn6/yUhqjYs889vs77xA5QXxLMXFES5aoow1Rc+gFCSDWj77nS9NGWowTdkCXhBg9IvwPR8WWumXvvQ36jy+MJprOpoGkBiYNahjIwLr2JSBrnM+OqO5bXP/4f0j+Xml9wTP7X4dJsBDsHgH+Fn4j7/43/B3ej/HKctcZpdXeYxXeJKDySb2qCfHu4owggGEXve/XwdedgibOPMH9fWJz/84/LvUNX0gIHAbYd0GwEdAX52IAc+RX/dT/pxf9MfYRoxt8Nv8Pr6+NNQqBlObArjm+2FGDRSbPwHwNyQjcOHvABQDePSS1Go5lp+X1+Q6F2I575v+8j+LAN0j/lhLMxZBe9libHostndY09f4SO9h3rvsAMtnjyPeGmfMylqlVjpF6aTsxqCq8VgAirmzxMrHYDiZqNdekto2wTHUViRA2FaBn9S31T7npWVeagaDDiv9NiRjGE5RSzNan3iCF3a/yb967SqzUtOPC47TiMPMMClgXkLLKHoqYeBaOGUxLmLRLWEwDNWAPfdNptkR1hYi4bQWo9u8t/8jvK91mbZR1fTOa5MRXdXnarREZi2XehG9SFxY50A7UuxOcuZqylWzTKQUXaPIfXNnpWPXnjLWx8yyIy9BLVBKjGta8RKx6WFdUQFFrWswGBxQS5cTqbZIUFWOoxQZqmrRNPGJNDhXVnJWgMLOGGUzZnpArDvE6hk6rs2SbqNR7HHCmlti9i3l739CsNhkyi66mgYA1e122dra4sqVK1y/fh2lFHfu3KmATzMXEWqQF14HMNIEoU2A0qxHDH+H7ZpREc31msxjWZacnp5WMtnJZEK/36fT6fDMM88wHA55++23AVhZWUFrzd7eHuPxmMlkQpZl54CRc676zFpbAbqiKFhYWOCpp57i8uXL5+ovj4+PmUwmrK+vA7C6usrCwkK1XTjn4+NjlpaWzhnGhGs5OztjNptxcnJSOZMGBraZqdgEkaGvLjLCzT4M/RDatgm8mzWNTZOdIF3d39+v6ha73S7WWgaDAUmSvOs91WTKAsgLf4esvrXY8Ggn5vpCm2vvWQMF+68dcXwyJ3fiIBpuF8EgNdPVnN91jZle6wfJyh+3xEm0gK9P1Fr5ffoycr+ew2EIZvnSFkXp4ODAz2DHuNEpLK2jWh348Pejj49wr74OQHJpBWU06ZuHjMYZZ+OcubU+3F4esg6m6xOvAAAgAElEQVTHoJToisI5FowwjKmFrZbhhdUFdnb6fgJE+uTwaMaoLNn2dTobGx0W+7E4v+bCgJalgM/VyGCtY329XUl1tVacjlImtuTWvGBcClAMdYqJpjKlyWzt2gqBEaaafQxL6EOoGcYANMH3r5ejag88UxuMfOSBe2uesRhpuqWmZyQE9ygvzkleLy5Npuyiq2lQCnansLUHV3bh+m357M6OBz7eNEVmG6hYwwActRMQRuPeghr84cGNg6oeNTBiVjDyuXNxnqUMgDPy9ZCnKzLY16VIJ/tn0JnDM18UAPb2Q3LclVPZ196WSFYnC+ICGqI+AsM57otc1Ooa0BWRSEef+hpc3qV2ZgWO1+W468fy9+qxrFsaKDwILY24nC4N5FyXT6hMeowVU5tZRxjaLKkBYWALgytrE0SGvrrICDf7EM5Lapu1js2axqbJTjDD2d/ydYszAYxWwWBF2uRdl3MPqgZo0FrASFmiFvvkO+uMH+pwdl2Dgt5dJ8And9CoZZVnj6uBo67vL9X47gvgDyWvlXMSHaGoHFCDFBpFZYqjXG2Q44xnJEtHMUzInaFlCu6ly9xoHbAdDfmrN/+A/370Iu6OIIhsWYxxuvsisUzGIpl1kcLGsUgsHSTDDH02kzZpJdIOWY5bXmPw3CaTy/KPoP0Ypn1siUY58y2ZMZ+uSfC9KuX/JJxz+zAjW0lkgmPVm974WadkaDGTHLV/gpvNBSgajYoiAe1xJA/2opRnclC4NOSl55aQGxn6E2qg6d9zWC/5VQI8QzSGUqiiJLlziuu0KHsJZS9GOWgfzfF65AcsYYAWpInNvzsIE/U+eO+j8Dfhib/+BQwln/nM9wvwGVC7lMJ5qWn4u8kKhqXJMIbtg5FNAJDNfbYb64XXgV0cw+f4Lp5rebD4BPAyHL8Ja38efvx3/0/+F/4dAF7gc7RI+fX5nxfZ5cuI9DNEfQSG8yU8aJshaPIMYfpegH8Qs/HX36YsjcR2APlvLsr+ftif8w/C6jP3mI47zIteHZvxLxHmcQ58PxA5mCu5jt/Hy1g/508qAMK+/1mjjsMIIDL0VSMb8h3Lxe+o0MchizHso0PNZp7Jz+95ufFN5KdA+n37XQ4FcM4Tvhm2Xmf1dZMNriXfxdPxQzy3LhOwXx4I8EldSelsVSIi0tF6rKhV7XZuG998Yr4nY67SOXKsWMlYUWiZquxExJMoWc85iJSmcJZIicleYR27ZwvcKCwq0djDEXp7FbeyyMq/dZknf+GELx0JUXClk2FUwquZ4TS1HKc5E5cJl+haxMQ4LAf6PgO7i3UFLdOn0BlFOaPfusKLrRd5fNnggNR/99yZlByrYx5WVwDYWYhZa4m7qEViKXILb7kDLrFJ6RxXe7Gff5Lr3Z8XDPUxh9Ovk5djDxQjtE6E1dUdNJrcplhbYHTi7xgJL7kY3xRyI1FUDKMlx/o6RnGyRSbp0GgdU5QznLOUpJQ25Zb5PG2zwiKbLLlVrLLc0XfoukW+1fLHAosPyl28GLsQ2Kjl5WU+9rGPYYypmMQHMUthn836v8CKBSAXJKcX8xTDT3NbqFmwZuh8AElA5Yo6Go0qQ5azszOyLCOOY1ZXV3n22Wc5OTlhPB5XDOPVq1dpt9scHh4yGAyqmsmiKCoA1el0ztUSbm5u8sEPfpDt7W3KsiRNU7IsYzAYcHR0xMbGRsUYrq6unrseYwyHh4ckSUKSJLTbbYwxVd1kWZYcHR0xHA4rQ5+moU3sAUOWZeeY1QA0y7KszHuCVPRBYDH0U7NWM7RzcFENrGvYV6jZnM1mdDodtNaVbLW5NDOuq/f87yYISbTiaivio3/2Jioy3P/yLgceJLoLA0knj7Yq4gHkq9r6mrpQaC0sGNUMl7CPAoTy0spgvmKpQXskW8qQgdjoyhAhsxZtFfZ0iCoyaHXg9BDSGUQxankL9Wc+jtnfpxyMYJ4TrfZYTCJabx8T7405HqTMbYHHpiKhBfpGk/vXM+vYaEd8+L2bdB7ewOWWcpoSzTKmRxMORhmXkoRuN8IYxcpaVxp4msn4JlLsHYlxTctoOp2IyEiuovIs6/48Yy8TZlFyH6X921oksQDj0pK72lwoc7JO5hxdLTOPba18TYN8XcaqFsrESkkmoJJ2z/wAMCtFZqw1jEondQwKrO/PcVkyLksWjMEAs+aAPfS/eie4uBi7ENio5QF87FPy+o1H4GjNm9Sod25f1f/5z4ytZXpNF9SqltGDAuWPV4Y6PT/RXDa2c/4YpvGIzH2t32hBgFsrE1ls1hImb/UUnv0inKwIAAy1glcLYRAPN4Q9TFtyvAI5L5xIREPdYJbA5r6Y+GzvyzWmLXl/sCRtsnEk25hSjtushTSlHCvJ5ac9l/cyb+ZTamFoh0tyjk2gGBXCKIIcLzCDAdQFIBrMe4LTqcJLgV0tCfbjkHO1mlDvRznPukb1vkLN5qwrERra1rLVc/1v3TvcUB/03UccYdeXuPPxHtY4Ft90dI9KVOHecU9WIKOsTWPAs1eOKgLDxgKiJKORyuQGJaxjYBSVTN7X0RnO4ZzEPGg/qBNXVE00MkzLFv1ozlvTVQZlj0U955n2W/zQ41/in51+EDPWIpXuOSZXkHrBQ0UbMLOSMP+uCqmDsgstVF6KAc88p7i6xt6Husw2xBnVpFL3mJxB5zBntt2m6CisUaQrcj0mMKIGugclNtGULU3RFtdRnVPJOTr7GebYy13LUpxP4xiSGNXyE5NphguOtM4JcIwE1Lskln/mOKrkvPLQN/WXjzLSH0ZXwNMBqvCS1pbCzebgxxTEEViLGaeYcUq50HqXmsWmdDEsTXQWfi/C8qP8ua/8Kl2m/NPP/GUxYGlKQ5ubN8Ee1AxiE+QFU5ogVQ3sYzBVucgoNoFiMLkJi5e9vsKT4oh6gEgnN2VSaf/T8KH/8Ev8wX/7Kq/yGAOWeQ/f5N9e+0f83o//Wd5aflxiJO42riec1zYw8NEX40V4/ipXP/8aP8BvMaXLgdnkaG2Nl/eflTb5UQRQLcC1F76BoWRKhyp38lcQlm4bYS8XnOQqBsD8a8DdY2owGAxt1hBGEX+iI2r5aZAHB/bXf3lcBOtNSXDRBJWBaQzRHzGCkk/8Rl7++rr/uen74zbvWFxjcrx6LzhqBtChNEYlrLfew9/euUasHJ89hrfHKZkrz4G/sE9Q5JQYr5OPlabEj6uVpnSWRBsfhSHjCBMYSMTkRiNeEc5BjjCP+NfB5CbM7s1tiVGKw7SFm49RvYTy3hg9maE6bdyNqzzyw6fc/d8yjrOEealZb+Uk2tGPI26NEpjB2E0ovQNsrnI0hr7eJGOKQjO3Z2xH38WPbV7lPf2c3IqsdVYq9uaKt+ZjHjFXWIwjYg1XusKK5lYeD5FW3BrP6bgOXROxEBtiLbmKQZ57qzzkqHydvJzUQFElRLpNbCTrNi1HlGUmDqhYSptidIvCZSS6h1KaWHW9QU+MUhrtTNWn2hmsshgVo9AUpKCl/jFSiZAS+ZCinKOUxpoOlpyh22Oo9lhS2xhiRuqEb7X8sZnFi6xieB1+B5fPnZ0ddnd3OTw8rELjw0+oY6vqwnyGYACJTfAXgFGIoAj1iAEQNWWrUEtOA5MWQFD4PAAngMFgQJ7ntNvtKmQ+rL+zs8Ozzz7L5z73Oc7OzphOp5UstN/vk2VZFYMR2iWAsQCabt68yXPPPVcBxdFoVLXTyckJvV6PlZUVyrJkY2ODJEnIfQaUMYY0TTk7O2NjYwOtNf1+v7qWKIo4ODhgNBpVNZbh+IFVbOZCBrku1CY3IUqj2ZcBRDblweH98HdYt9PpnJMFh3UDIA6S1yDdfVDtIjRYRNS5ifvw3oLRPNqJebjb5vSNI/YPZsz9l3YAgIWTnEKthAksrBTthjiH0rlqRix18vAySuSRsRIzFfw+glwy1CEGF9XCyrGa9XJaK9LSelbTke0N6WRzVKePy+9BOsXFCaql0A89gf2ej6J/57dEgno2w85zdDticTEhzUrmY3E31b4NIifANndS/P3UcptHv/cm5qErMlt+Km4cSisOv37EgtGsrbYpS8vG9gK6E2NT+RaOIs18nHNaFFzqJGitWFpMqnsyjhR7+3MGRcn9rCCz+PxK51lFMbXRFUsIHd9RweSm6yWjQSoLNTNswj2FjPeCm2ruapHMaqR9jqQAyeBYOyotk5JK8jq3jp7RVV9cXC6yiuF1+J1ksH4IO3dg9zIcermp0/5H1TVwwTykiGoTFqfrWApsbShjPSMX6hFNeb5mUfvBcDPuwSpZBzzwsQK0Aqs5WBZTmPYcCs/MRT6MfOdtePZl+NwLAiSnXS8LzYWBzJI6BgMnCkntz7/wYO/m6/DcH9VAcdSv2+lkDXpTYS1LI7WMSSbHAAG3aU8knBuHcl39UX0tUQEHG7LPUf88GAysYpULSS3XhRrshSiNqi8bbGZTHoyrwXZwmAUBuU1ZcGAcAyAOktdgfhO9c07T31SB8tO840GlFHTa2MsbjB9eoHvf0TmyRHMZrAh4E8WCRD+IHFPnFhvrmrku6pzEKu7CClB0kRLQiewjTDpY4/MPveRUlSJpDVEbAWCa1FasZjxUjMsW6/GYV4sthmWHY72AxvIDy1/i1fdu8fUvXCMeK8xUo3OwMeR9hck0Zm6qrEelDS7SctzCglaMn1ji8FlFsZlCqdDjmtXrHFuKBcN8RaNKmG2oyrQGhP2MJ45kkDHbbuG0IuvX12Ij6B5aouEMdzrAhTgM51BR5JnFelZHaS1sJ1QmNy6JqRxRnQfWkRbgG5zCvYusi/1EallW0hXX64C1qLJEaZGyATCbS6akl7yavMC1Eh4sbG6CwyajGN67CusvwL8Pv/3qj3gwQw3imiY1gQkcXPi7mZO4d+H9UI8Ida5iAFYBXI4574QaTq3t9+fP4494XjDV2wjm2QQ1hNUSpv8T/Hsf/fv8R9/3n/IKT3CL6wxYZpkBu8+fke8tynU1wWsAuSHq42fhb/zVv8cP8C+Y0RVwChhK7G/2RJ77ouzj2se/wRpHDBBDPb08wX61JxLOH/X7e75xLcsOfkUJm8m/RoBbkJUuIqxicDKFOj4DapObLc4xi01wflG+2wSOFTh7lJpRbDKOt5EsSS91fX0Lovg8YG8uzWfUhWl3pTSJ6XOp+wzP6Cf5+lBze5wzKWV8XnrgllPQIsYgoDCloEWEUb6My1kMilLB1GUYJK4idyWJMmROJOgtZSqjwkjXRjbBCMc6R0vVDqVGwdQWlE7c6HdnMcwy1FIXl57BZA6tCUor3Hc9zp9+8yV+9zM7HKQxg9wwLxVt41hvK2ZlxGS+QIa4sEbOELuYUhWk9DDEPNV6lr+wU/Lo0jFFqTmct4EYrTRvjy0rusOVrgTc3+grusYx91KixMAkdexxwiPRJkYrNtoeg3gF1q1RwaG6w2h2F+sylJeVCqvYwuhWDfh0VIHHYHKT6B5ayfk4LCWWSLUoXFob9TgBwYnq+ltqjvMF1t14QzIbnQBR6w2H0nxIVowqyWuup7T1ErGqzXQetPyJaxYvAsVut8va2hpKKZ566imm0ylvvfWWXNCFesLwdxOYBKARWKnwefgsSB2DlLLp+hnqI8MSIhxCbWGT+WsCywACl5aWaLVajEYjWq1Wtd6NGzfIsozXXnuN3d3dqh5xOBxWbN7FbMVwDdeuXeO5555jc3OTPM8Zj8fM53M6nQ57e3ukacr29jZZlrG2tka/368yEgM7eOvWLVZWVrDWVuxjMAEqioLDw8MqW7F5bUEaG9q36XoamNkAJpt1iIEVbLrPXnSgbR4nfNbs2/BeAJDN2JJ3A4thaYJGgPXY8HA7wijFs9uLjCc5r9+TkWgYq/kJdqyDHCcTeU6YxdLP3Md+lsd6wNL2f+f+vSAlzRtMZO5clVMWjlNYD5oSqf8Tp9TARsrr9HhMZzyElW3odHHDI1S7B0kbtEY99hx6PiP50hfIXr+LK1JGRxNOT1NOZzmZkxxJo6RGr8nEPfLwEosf+wDq6g5kKW4wgFYLs2iZvnnAPC25crlHllvW13vE6wu4vKQczTFaERnFveMZG3GEc9BuG6JIk+dW8hULx/15xm5WCtOHB6wIS9jygDHzoLmOzvDsr/88SE1DewdGMVLCRYiU1tHS9fvaM72Fq4GnURIRUCKS18y5qnZRakwd8bdxGrwIFLtTWDsWkPHUKwKu3romn4Wsw1BPWGogagAT55k5PCtlACsMo0rl7yKSQbv1bFYR18d2GuLGxG2IcIjz2qkzgJ4mc3a2JOe5NBTZ5GhBfuPzDW/cEtDz2qMCfOdtAZjDJYmNyGOqnEGd1wArKiWG47kviOtpHot8dd4WgLW3LYBqe0/A69qRAMGQkRjYwVtbAiatgk4qgK2IawB2uFFnUYbrDu6nAXw3Mx2hrqMMYLJZh6hsLVs1pRzXamFugwNtAEUBHFa1ov798F4AkKEO8qLhzoNvquaADNTSIm57Das1J+9fJJ46Fm97e/NQU6uVZz2dmLdEAhxRIiO1iDmN8vmENvKAsnQCEL1LqjiRuspwRxxDG/8DCqktTBRlotGFr4VUCOOnvMPoCPbTPo929llMZrw1W2fVTLBGk1Dyg5tfZvJ0wu03N2ntxagUWgNHa+hIhiUms+L4GWm5Z/0p2FgxvBZx9v6MlfURWRExmyS41FC2obMvYfbjbYPOIV1XFAsCcvXcT9QY6O0VpOuJKCxanh3NXZWv2N1L0ScjbO47K3z/JjHEMS4ywv41XU9LKw9y401tgnLGOZzWEgWi5JqwoEqpR3Rx5MG8ZxedKEpUcFc1RgBpWeKKAgoPXqNIzHCU4ltXwV5kFN8HCy/IJv8EccT8r/1H88aqgREbUMssA7MIdcxFcNBsRmg06xUDIKOxj7AEtjEwcmHb6PzPVyZPC975LHAfMWjZlWaezYGfg5/b/K/4pWf+Er/Cj3Kfy3z91edE+vlZagOaBeqcR38NS//JHr/U+ik+PvkdBr0lXuUxdrnMDnf4jfQTAjR/WljCqx9/jSd5hSld7vAQrXZGd2HGySd7dQbjVQ8gj3r++pWwjvPXqMFfkIWu+p8+dcZlMLuZUrG/FyWoUaP9A/gOAL/J3KIQdtE1jt3xK8z8MQOAXJT3iptU/3Dvtlx4RrXjDTa7T2GI+Vj3fQwyyxcHMpYqPKjUngksPNiIicgROWNOKXJzZSicpVTCMBoSCmfJXEmJpXAKozSZKzD+HHMsyrtVBbZxZgvaOqITGbJSnNuVakpe4SBV2OMZ5uoauh9h94bofkcGe5Em+TPX+MjkNl/5yhavDBcYOcX9qWJvVnKQzpmRERMRY+gQV+PzljI8s5bwF3ZO2NkekKWGwahDO49ZihWvjtpMioxHlxLmpePagmKjZcktDHMBtbGG18YTdvQ6FoltS4zUTBoFmYU3yn1Os1s+UxG5ch0R6Q6RaRPpFoVNz7meWidRJpFKiHSrkpo6LIaYhK4wjbSxSE5k5qYkqusZxxilDE6VlC6ncAI8tYpQRmNtQWlTSpuhVYTRLazJUbH+/w4sBjDxIClqACj9fp9er8f+/n7lIto0eGlmDDYBXDPsPbxuslth3QA8gHMB8wE4hr+bwCZsq7WuWLsAaMbjMaenp1y6dIlOp8Ph4SGrq6sVg7iyssKlS5fo9/ssLy/z5ptvkqYpk8mkuu5gIBMAVrvd5qmnnuLJJ59kc3MTgOFwyGw2I45jhsMhh4eHXLp0Ca01CwsLbGxsVDWPSiniOGZ/f5+iKFhZWcE5R7/fPweWj46OOD09ZTqdnmvDwOYFwBzWb/ZdEzCHdm4yr6G/mzWOTRlvk0kOgDCA0mb9YrPPgmS3uQQG70FS1EgJGFnxURD3jmfMra3AYWD4nBN2MNHqnCQ1VqoCeAFQlNQD99yJ7XGkqFykWlpgauGBpPKREUUh9YkBxJalxE8Yo8m8DLV0Il09O8tZPrgPO49BbxHuvw0bV3FFjmrFqKUN3LVHUStrJOtfxHz165TTlNE4h5kco6UViZaICK0VnY7h2oeuE7/wHFy9Lid7fADjMSQJ5eGAvf0pV6/00FrRW2zTvrYmbXMylhnuSLG3O6J0joWFBGsdy0stiRSxjsgoDg6m3M9yjvPakTT0hchFhdELbqRh7jLkKgZnsMy3WwCHaZiN9yywQSSrldILvCzFVftJlCJzcm/MvRFO5uscEw/2z4p3l6A+SIoaAEr/TOIl9rdqF9GmwYtVMmANsQ+hLrEZ9h4ARWnqr+0A9gLwQAtTpV1trqL8eRTGO576Syh8rZ4ua9YuAKDxgtQtXrovIO5wXaSguQeaK6fyWf9MZLVvPiwgb9Ktr7uVinQ1uKG251Kf+OQrAhRBwOWsI/scLgnIu3RfzmlhLMyhUwIolYW4lDYsDKxMZAzdP/Ng2bfD0TqcrgrYrdqQms0LgDms3+y7Zl1iAOvas7xZUvd3MO8BuTb5wPe/rrdrgtJm/WKzz9LWO24pgiOqszVIC4vy8QzZSoeiZ+jtFZh56aWh4lhqY2EitQWbaHRuq7GcjaUOT+eWMhiqWM6Z2wSn04pFTbSAptx5dk/qErU3vwmS1gp4GiVZjFBFcMRjx+2zNb57+XU2kjFfG17ivb27nNk2/WjG0+07vLG2yaXuGS8t7ZDe7mFSYfxAjmFbmtKfi9MiUz19EpLHhjy9JgWu90eLzOcxNrJEZxHdQ8v4ksg80wVI1x04iMaqAordfWEos544i2aLqjYAMtA9KokOznBnXqkTauGNFtCmlY+/sFKnGPRvIVcxmNwUJaFOUTmHmvub0zmR80b+ie+/P4TVVhLNEfYTQGn44nFOwGKokSxL1CxFwEZYAmIITpvNxQOUDyFs2SepYzACwAgs4BgBVk1JaojCCAwjnGe3AtgLzB3UgfUDahlqAJbNCIsm8AwGKx6sjl/egO8B/nfgTeAHgE+DWoPZCcw+A1ufhJ96+Zd5/qdf4n/gb7F/c4uTr0o9WGU2s9445nX4qR/6+/xd/g7bvzUEYOtDQ+6sTllmwBd5huGvbMNfmxO3My4/ssuLfIoCwzd5jBYp3daUt/7543Lu75Xz1R+aYOdJfS2/BryUA1/2F7XW6IuO76MTBLwFt9PQdwFUXlgK6jiSIN8NgD605zmGUVEDwpDteOx/B6MdDxa5DUfXLxxQRlOhBKe5KBURmTZb9horaoHXxhPGzHxVnCiHWsQVq9ihRUpeTd63kCiMlILE196WXp0FkFJQYEkwAjwddFTsy0tKUgq0Vd5RtZC6RA9icx/xFWnFPJg2IvmNx3PH/K2c3vtBr7TJvjmidcPK7EOnjbt2mfb7T3hu+5jtz435/N4mkyLmJJXzMhi6KqGtjVckKRZizYvblo/ceIuVRz2I27XE0xZtU3J/1ubWyPLYUoJRsNZSPNzLsU5xXJoKKL5+ZskpWWlFlM6x2ZHcwtJBrODNUcau/RrT7FDOxTufCpsXoZQhtzOszTE68XSDJeQqaiXPBTGukTpFS8nMyf+BU1KLGqlWtV/AS1WNN18UaWqkWhRKQGlBqF/MsK7A0MK6gnkx+LZo8Ft+/O0kp+EnjmM2NzfZ2NhgNBpVuYFNRuli0HsAGWG/zSiMAHiacQ8B8IS6xyY4ajqTNt09w+dNB9Cw/7IsybKsiu4I5zKZTCoDnFarVWUfXr9+nTiO2dra4vOf//w5d9EAlC5fvswzzzzDlStXuHTpEgCz2ay6bq01d+/eZWFhgW63SxRFbG9vVw6tQcY7nU45ODhgeXm5MsgJjq2Bmd3f3+fs7KySnYa+CIC1KecNgC0wsGHdZl1oaKsmi/gg4B7aKYDCZkxJAIihzwPDGPIYsyyrzGWEM5IZ9bo2UVXAo6s1N9sxW92E4bxgaku8I3MNRFyQNHpQ47dXfmYqPISsl3AKaSNn4DxQrBhIwDnZzihVnYtDGLJIa6yz3oNK5KdhDOJwGH+8NCtx+7uobA4mltnm0SkqTsCWELdQG1dxZYl64n1ESUL/oSvkv/15rHXYUnIOy0JcUR/aWaD/0edQD9+E64/KTOF46BtMg9acfeM+i/2EzkILlRg6N7fAOmyag1boVkQ+mnN/MGelHZNllqWlBG0UaVb6UhzH3SznXlZigUTXIDDRiqVI3FZDTmKiRVpqHXSNqoxtrO+TqOpTfN2jqmJGwNeJesCJB5HW/7S18nEdIkcNDrBtLbWNmXOc+drGibXfVnIafuJcgNHGkUgiZx0PNqgZJauABtAMGXzO33vWS0xDbZwnAgUgqRrwBHOYADB1CYmtpapNd8/wubaeFfP3nbbCbmax1CXmcS2BnXRl36UWILh6Ivu6fluuc2sfPv+8nG+oEQxA6fIuPPOyRGNcui/Hn3Xr9tIl3L0iALE7leNs71E5tCoESE+7cLAJy0NhEhdG0lbzhKpmcH9LWEXXaJvACIaMxmbtYzD6CTWKTXOipqFNqEPUFqILgBInExJOiQFPmAS4CBBDnweGMeQxZgn14D/8k2OrWXqUByRKoVotiqtrzDYTkrOSaFJU2yqlKqDYzNS0RmIj8NeqSwGUyta1i0oeLPJ/HAnICVEVwaXTGUXpIzGUxTOSGm0tlAoCcPSzaxKhIWDRZI79QZ/xlTYtXVA6zd1sla5OmbuYNT3l6e4dcmd45uo9vhZvc7bZQX8h8ccytezVwfiy5uzpjK1LA96/fg+jHAfzBf+slwdB754iW4CiK8zqbFOCwlUu52hjiKbQ289JVyJMDmlfQKTJ/P9lCd17MzgZyHd9HFUgUEURrtfxLGwpfRcZb1LjcC1fo6iUzEI5V/WpM9K+LpJnqvMS3pAn6ZRCBafU0m8bR5D7/vYmOkopXJwIYCwKbJaLLJaQYdbM2GsWtoXYjC14/FExanmJ2iU0rBaAYrMOLrCGAVAGiWmoN6SxzUwx4VEAACAASURBVEUjG6gBZthPkKo2QWV04ThhXwFU7sE3PnyNx1ffEpObNgJ2h9Dvwe0JbP0u0IKn/vGb/Gc/8V/yA+a3+LGP/F/k88X6XL3kdfVn7/EPzc/wI7u/LYC5QJhLZCickPJ/HP8kPAPXrtymz4hP8BuUGAYsYyhZZsDtyXVhZ78bAbjPQ9JOme/16jb4JEjhZJCdhv7oU7vKnFGziDPqGsXQb1DpwuGdJkAXmdtzNYxh2y7CVjYBYqhbDAzjbX8O96glrGH6PEy/4+9ric2ITJed1vPciFY5zGYM1eiciqvlWliCOY1sHxNJNIZnAnNKWkRiAKgEklhft2hxJBiUXw8EYAICDEkq+WmJI1ZQetf6CFONt5zfZ4Qmd5Zp4Ti516M3SyExuBLc0RDVjiHPob+AengLU9zn8vMzPvzlXR4d9Pnlt1YpXYfStcVp1ZvlPbFs+MSVUx6+fszC+xLQbcpjITGUchjl+MowYq0Nywkk2vF4P8U6xdxKNmLbOIa54o3pmEtxj3npWG9rkdAW0hO5g1d5k+HsLXAWrQQMKqUxukUnXsW5ksJl1XuSq1iSmIVqXess4noqwNGomMKlRKqFIcYEQEmK9pytjB0khsNREusOufUA0ZvoyD3RprQZpU3JiiFaJ2SFrx95l+VPLENtSi77/T4LCwsPdDpNkqQCDwFkNI1RgHMAsMkMBmDU3LYJYgIAuxggH5jGwIZdjOAIICfPcw4PD0nTlHa7Tbvd5v79+5Uk1FrL0tISw+GQxcVFTk5OmM1mfOADH2AymVSsnnOOS5cusbW1Rb/fr+oP5/M54/GYLMswxrC7u0uaply+fJnZbMb29jYLCwvM53Om02kF2u7evVsB4AD+AiAzxrC/v8/x8fE5Ke5F99OLQD8A0bBu03G1CcYD+A8y0tA3oe2boL8J2JuuuE2pa2jH+vMLFGJjCZP2ba24lBgWI8PRLKf0LGBYjPIF1F6+mLvg2KmqusTMuqruT3L+5MGoUP6BJ2A1yB9C7Vtgy8TaWcCkVqoymzG+v50D62WqJQIoY6XIsxJ2d3HzCaqzgOstwJ3XYWldwKKzqIUVXLIPKxuwsAuTCasf/wCrZ2eUZxMZzJQWc2MH9dA1WF6Dy9dRrQ5uNoYih/kMjCF/4y7ztGTt4TXKszmdm1uopSWYzbBnMzF9AN56e0xLaYyGKNZ02hFFLrUBkVHs3p/w1jxn7tsNhN2LVe1+WlVAKKp4jIVI+3VFPjq3zgNJeS+whuE9rXx9KME9zYMt3/ZNNtOqIE1WVaBvoh2ZpQKq7+QWzy8B9EWFSCgXxg2nU12vl3jWLdQXFlHDGMV/BxfeFT1y8jqAFYWMzattDVW9XjgH7dcp5XleAcrA9OFBTRXBYQQURlbqFQ83IfV1i+053L8E/bEwj7YQiepwUTIET1YFCH/gC+J6OvUqJ6cFHG7tCwO4cSTy13kbxkZAkilg9wqkbQGVs44AxYWxsLDTbg3a7l6R7bWV7drzGpAZzzoee8Ogi1mJQUZ6EeiHetKwbnBqDUCyApy2jiIJcleo274J+ptsZtMVtyl1DQCy+fm7LgHQJQlqZYl8MaF9nFdMXlikNlEYKuecZO8VUnvovFmWyfxkh69HDADPKWHTnHihV7WANtD3igr4qUJYzJDXiBIGLgDnwEjiAaWLFDqH7LjNSdFjPR6zlMx46eQhblw6ZO5iMjSPt+7zzfklrnVPuN1eJZ0nDJ7JUFODmeqqffOtjPWNEU/0xjy9vMuSmXGc98hsxDyP0MaS7EWY1DG5pIjmAhRtr0RlmnimqozJhXulZysVNoKyXedGOgO9/RKzdyogLCicQp1icD8Ng2hfj4hSuI5nHyMDRSny0hCX4esbnda4xOdHao3yCgsKW5WAKb8/fB2jTNg5MA4QJlFmM6OKYazqGd91CeziKvBhkXB+iprJC0uoRQyyxpC91wxsP6IGIwPOA7x5Y9sAWi7m9l00vmm+DsBm3lg3GOYcwad4kccv/89St/g28BPAy9DtQWcCt16GGy8AfwRXPnrCnc19/tHaT/L6T97kNtcxlGQk/DD/jH/z5NOol4FfR0xzdoAeHK0uiNEPP0p+d5Hvff9vcocdPsFv8Bivss8mt7lO4vP1xv/jhjCWbTlPfX3CfNCvQfMngdu3qA1loK5TDO6nAa2H1zHgGdEKqJ1xjj0OfRCiSILcl0abVkAx7AfqWskwoTDzfwcZbACq3zrmIIBGrdsstq+yYTe4m43IySuZKUDLdTACPXA4UnLvYhph/Lf+jLwCjZkriDEYpT2ItNW2ua8PDEAxOJ6G+sSQG50HQkFpP+Hvqn/Z0kltXkJEWjreOlni6miGWupils7IvnxKa3tFnJaLAndlG+4eYS5rOrfGdKcZf3HnlJO0xSCPpYzFKR5fPmPnyimdTUfy+CKq18INZ7hsTjaLiYzllWGfSQFPLlmGuebxfspaK2VSxAxmEZGf8fvaaU5XCQBOjKIfyyS2Q1jF188y7mdfkUxFPxlldAtjxP1URq2hdMwQ4jFakdw/kWpTuDmFnWJ0y8dmtFBojKRFUpBiiMh8bWvhUpSPRAmURqxCBEeOUSXOf3FbV6CcweiE0grD6GzTNffBy/+rmsVOp8ONGzfQWpNlWQUsHhR30czvu5h/eJFdbAKMACybDGMzrqGZB9isowsgqQkiwzmEfEdrLWdnZ6RpSqfTodfrVcxoqIFUStHv9zk4OODg4IBf/MVf5Mknn+T7vu/70FpzdnZGnudcuXKF1dVV+v0+i4uLpGlKnueVac7R0RG7u7vs7OyQ5znr6+ssLy9X1xlFEbPZjMFgwGg0Ym1tjSzLKhlqaLPJZMLdu3eZz+fviMGIoogkSc6BtfC62Rfh9UVjoKYJTQDnoc2DSdFF19sg7W0yu817BGo2UiYR3v2Wsw5WY80HF9oiO7SuAhZNly7rFIUS8BYm4IMcNZjkOP/vWDpfs+j3YV0dMO/wEtYwe+YZrgBpjRJAKmBV5B0WAYk6XDMio8i8RK20UB4PiOYTkaH2l+H0GKZnuKTtvxIUamkdd/9N3L07fOrn/wXPXF9m/a/8OSJjcCcnkGWoRx6FrSsSv7G8AfMJ5JkAxTiB+/cZvn7A+uNb2FlG69oaan1dBizWomNDeVYyPpowzAo2eglZbllbExlqALujcc6b85RhaUkCaFY1m7fgMxW1goTzLrN1NqKq1gnjWWEgdcUmSxG9r2VEnF2DG6qCinkMstVgcGObzxP/MlHSF9m3GYc5JdLNG7eEMcviGlg0QUEAadbVzF+QnwaGL5irWA2RByrWg7oQEeGUr1fMaxATmMcADKs6Og8cm+ya8p9ZI+ca2MezRWG+OjPojWG07SWjHlgpJ+DxYFMMZX7xZ0Ri+n2/I8c787WLV+6KhLU/EmCZtkTOmiUCqo7Wpe5x520BqeuHIm21HpxEBcx8TeSoD2sncp4rp1TyUxDm8+5VAaIXYzCiQgBhE6yF182+CK8vxmTEeX2PBXAegGSWUGVghtpP05D2NmNKmvcIfr3QF99ysQ69uED+xEO4SKMziw7BWs06Z/+csNp5dtGFhw7K1yMGuayy4CLlJagCOlXphPFywj6WpgaErvGgquobbZClysMtuKfa8Fnp0Jml9A6f0ZlhkHfZis/Ybo94ebLIfr5E38zYMCMMjhutQ/5wdIOj4z6P/EPH0dMJ6feeobVjOmrhcs3lS6fcWDzhoc4Jj7QPOCl7zGzCJE+ITcl41GX5vmK849AZzNccdsnT+FZJ/eYMkoEjGRbM12N07sQAx8tPAeKJo3drhJtOPVtHxfASR2IkY70pEJ5RDIAyfPcVVOuEzEVnFC6JLkhJrawXadQ8r9xQnX9WuUijMj/eMVqkqY3nVNAZKz/R/a2XHHgCPvSxWuIZgEUTLDbrFZtMIbzTsfSi62kAdk2DmyD5HDS2azKITeDYBJjNzwI4ncNXeBouA7eQmMJngIcRHHbgT/Vl4Efg05t/io/+G38A/2TO7SsP0SLjKzzNgGV+8Nan4Xf9ui8h+1wCNqE/GfN7vY/wT+/9KD/0/n/MMeu8yO/yPC+RkpDRos+IO+zw1Teel+2/35/ni87LT/3D4KvAz4PQtyE2IKC84IAaXGsDoxjGL8GAptN4v8EqNvMfQ9sFsD5ufBbaNrx/bp+hhpHGBn1q5vFbLZYkWuWp3g8Su5gZKakSAF02gGYRAt69HFV+5N41aAr/TgkUGBIVSaxGqFHEEqEbEtYEozSpK7CYaswYK12NpXIvYQ3jMY1CaQGKOSUzUpTrUDrHftrCjQao5QXMRptsb0brdAwdT9VqjdpewX59l/u7S/yVlwo+urLC33r/22jtOB72SAvDjRsndG5E6Es91OVVGM1waUE5ccSx5d5hl1fODM+slExLzcO9jEvdGaVVFFaRaMswj7g/UxwWU3ZaC8xLy+VeLPJT/3g5SS1f4svMs1N0IwZDKU2kO7TMoq9LNEQklE6YPhAQJ30yF0CnTMUeGhXTZgHrH4aWkpyUEgGSc3uGQdxQNUbUXapF5uSm0ipGuZB2LUsAh1rLl2aorXy35TsCi+9Wp9jpdKr6w8D4XZSrhnUftJ8m4AvrNNmoUMP4oIdtE/g8CDA2twnAsAmMwjqBIVxcXKTT6bCwsMDh4SGdTofpdEqv16PdbrO/v8+v/uqvsru7y+rqKi+//DK3bt0iTVNWV1e5efMmrVaL5eXlCmg1Iy6++c1vsr6+TqvVIooiNjY2KrCV53nFuN67d4/l5WWyLGN5efkdbXd4eMipd8AM1xJY2CabF1jDcP1Nc5xmFEnYR2Bkm3mUzb5KkuRcm4Z1AwgMEwWBZQxg/aLUuOqzB2jrIwUrkaaldc34+YeK8awg4OUL8rrEVXN7IGxV6eFJRC0rDYAv9wzgg76+A+kPnjlTysdlBEVYzYwK6x10+3KuQZZRDKZE4yEsbwpgXFrB3b+N6i7KTHSrh+r0cHfe5Eu/8Dt8Y5qxsTuh/3uf4/4r+8znJevrbTaefhbaXdTaNjiHKzIBjMZAUTD7/NfpX1nGtGN0ZDBXtmVGO8twaYbNS1xR8vbuROSnuWVluVW5vIZJ8r3hnLfT2tVDahRraWmiFVnphDVsMLCJl4sKqHO0PXso+5DeKj2AtJ75VZ7h1UBHc64fcuezmJzUPc6tq/Yl5Js86hLlx35+gqC6p1QNOMKirQCsJDvP+AUmo1rfUYV9uwBc/O1ZeEAokkFZ19gaLIYaxgcxUlZD0N66GFTmASM1KA1LMNCpgJGrgc2kB9MeLI7kehYmUlPYmcHUSQ1mew77m/Crf1EA3+oJvPwM3LohoHD1RJxPW3MBgAFoBUfQ0sA33wPrRxLTEZXCPpoS8rYAriISNvPeZZGfZrH8Di6voQ8ON4XBbfZDqFFssnmBNQzXb0p572IUSdhHYGSrPMqy0VeelWy2aWHOg8AwURBYxsBohnWqPqtuKlcDjtBPRqMWetiWqQFZLG6glXYbYfusr3cTkxlVZSeqwvpoFakpdB706cyDOu+S+o64DThnaqNKmaSyEYDykxK1ib5Tqs5h9Og5OLNGU8VBusDDHcNGMmKzO+Lls6tsxUN21Qo70Qkb0RlfPbnElV+LSW7fY2HjCvOvLNK97VhMHbNVTfdGznI84/HOLhbNtGwxyDpEylJYTfeNhHQNbALOOIq1HGUcLheXVeVZ/f69knQlQueOdElXGY7C5kH3oEAfnNb/8UbLszBISyMDqbCGhBp7pcTsJi+kxtBaYQXD6E4LCKSw+FoCYXOVzI44paAdnweCuZcaWCf1ig2THZTy7qgOSci2NbMrG/PgOsUnfEA8NeMXwF1TrbrgXwdpaHhsBzDSlJkGCWkwtVlurN9cmjWNF+sUm0xiOIeLdXf+uK/ziEhFX0IA41eBTwBvwo0deO0OcAf4Mf4fyt49RpIsve773RsRGZlZj67uru7pnume2cfskrtckktL8pIiJVISDRKERFIAbQG2BQO2bBmyAcP/2ZAAwoIICYZhS4Bt0ZYhiLJkUxYX5krcpSgSu9z3e3d2ljM9O49+P6qrq6urKl/xvNd/fPe7cbOmZ7SORiKzMyNu3LwRFRnnnvOdw5/7tS/BF27AP3ov/9lf/wf869/7JanN/PkKvz+B+4gxqSp4nwVqWG6M+TX+Oj/93B+yy2OmrPgzfIYpS47Y4YgdZmyxZAq/bgb56U+B3VziukxkITliajPXOkU9DlqjqAPSImhXwaTKUw8ZQJ0a1DxljBQg6rFaq1N8ymtmSK2i9ietb91inXHUJfmxCosxOZNyl6mf0tJisZS+pDcdORkm/ABKNVwoNwrMoJ6uLT0CCT1FqFssQlRGS09NG2sdTy89DhsuqL3vxZzFKigK6q54L0XIYZQbAosVZ1YPh02Ge1xjn+0xO1NGFyu67z0mP7uJOTzC756DM5ssX6n5G9+6zBvtb/P88S/zybeu8I3HhkXnuLKR8as/+gizXWCevyCS9KrFnbSYHPrO8LlHO7xnwzHNHIXxvHdzQWF7qm5E5SyNs7Qerh1VQX7quDSRSA1VOBngxmrOQfO9OA7W5ALUTACMpqT2Na1bkZtRPAaZLWndiswUON9R2Am9ZicGENgiLqg9LQVjYp0jlrHdXgOCzldAKaVTTvan/fFIHq3vezIzwveibvHuaReHYbHv+uk7LOPxmDNnzjCZTKiqas2sJo2tSGMcTstAU/lkyjimWXxpZEaa0aigJwVDKivV9bQPun7q2pmGzS8WC+ZzQd+TySS6ouo+q6qiqiq+8pWv8ODBA5577jlWqxW3bt3i8uXLvPDCC4zHY27dusXZs2fXwJru48aNGwBcvHgx1jaqtHS1WkU5qbrHGmOYTqdsbW1FptVay3w+58GDB2tsqTqfqow2ZVaLoqAoijWJqS7KKqYgPTWxUfCfOtMq83ja1Vbb0trLFKynkth3W3Zyy9Uy51xuWTkXnErlMqiFw72XikNlvbRZF6QMyvxpPWMfZKYr5+K6OUbMaPzAWsLASuoIGKQguukla9B7Zbnk8zYYvcBQ4yjH29M9WcJxiLSYbsNkQ9jFrsF3LbQVfrWg+d3f53bV8OFpybJ3PHxtn4vPn+H5D5xjvDHCv/4qZvdZqX3sWmEV5eTGX3sVgPI9F0VK+v6rMJ2Kln8+xzVyTt154zAcB5hOc86cGZHnEgViLcxmDTerJtYiKptYhjrFHY2yCCzJNDNMMxsNatILiEWAZup+mvqBWCMsbxqpMbLynoLTVOoaiBZWzodjr/sxKYHzjsu4EnnmZCUMV3QbNQI0ejuAsSywfsom9nYdNKrrpjqdVmPi77MNzJia2MRzKnHahMCqBZary0I/8gGcqPRV20zD5hcbYnQDMKmCK+qWtNOF/lRj+MpPiET1ubvCAN56QaSnL9yS8PlbzwsLmIVaPY38clZAJUhdp9Y2qrR0NRnkpOoea7zUNG7N5HupJHS+KX2IbGkA6Hk3yGjVjVRrSYt2vaZRF2UVI0jvExMbQs1iO4xh1gfmsZNtoqtt0pbWXqYMYyqJfbfFbm5gL+ziNyZkqw7buphpKCxYuFi5ICfNTLxoKFuo8k2fmygTtb0nX7mBXc2EebRtwlrCkMmof3hGpKlZ46NcU+IzQn9bkalqm7Em0kl94P5SpE/PFMecGVXsLbZZupKFK3nUb/Go2+bgG8+wcWdJ/f6LZCvH5m3P8rLh5AVLP4G37l3gQxv3GduWyhUsndwEdd4yvyW1etUFcVNsLrXYcY/vDLaymM6Age1bLn6fbiJRGT4jAF0o5p7xrSN8F2oRrcEUBaYo8BsT/HQMLjiUGoMvC/xIXFEjmGQYMzKLzzKR7+Y2mtjIoFlckUU20uciT/VFhldwGuoiIkPpPb5poqpD2hmO/TsvLyI2nVekHE0NaBSkVcn/03pCks9Sdkq3myPt6bppFIWylvB2cKgg84CBAUvlsCp91TZ1uwre4kX44fD/Gwjg+zEE7J2BF88BV+Evvfcfwf8B/Ox74Sb868/+Eh/5ua/zof/kW1x57g6f/thPwGeR2scNhnLPEv5X/gsAfo7foyPjV/gtLnOfGVvc4Soztsjo+c4//fHh+7wIZ/74HtPNJczHMPbCWv4mCEOn4FCdT19kMLmZhc9DHghbyIX/NOA3AymZjgtECWwcQ3V83WEd/McOT8PA7zPIUGG93vWdlzzfYWvyAhv5BWbmmNqoBY2jo6ejpzc93jhyssgMAuEzcUBVkOii72bPzNVx3YKcDkdNS530q/U9GYOJjcFQWEvV97ROtm59H70iGudoA8tVkJFFEx3PYWNpHob7zLOb2K2ceq+HqoWqwRzP4HjOJ775Pl71b/GD+c8w6xu+/cTwA2fgx85btgu4+epZ7Au7ksPadFBLf30H3759CYAXNyucN3x4Z8Zm2dD0GSdtQeOkovLbj4d72u0iY3dsKOwwz3RY97zGN+idSEINljwT59NJcY5pdh5HS+dqDJZRtsko25AIDTJscjdlEFYxZxzEp+MYlwGQkVP6SWSJC8aUbDJiSo60p0ylMRnWFHjvaLtlqI90cT8pyHzX8+r7Wot1VnB7e5vz58/TdR1t28ZawzTEPXUgTZktIDJXQKyzO81kpSyUAiYFLNqOtl0UBW3brtVKAtGRVSWlCn4UJLVty3K5ZLlcUtc1RVEwHo8pyzI6llZVxXe/+10+9alPMZ1O2d7ejnJPay3Xrl2LgO9jH/tYBK1VVeGc4+DggHv37nHlypUYk3HmzBkWiwVN08T+HBwccHJywva2zGCdO3dujZ2rqorbt2+vZTWmdYrqDquuo8oEpvWEaY2nAnw1vElZRpWi1nW9dkzT45LWQqZsYir/1fXfyUU3ZRefG+VcKYuQsecojLBUJq4b9u/F4MRYE51MFVBm4U5LoydU4ijnr6yj30baF+OV0toIHBsvc/KltTTOkZ5RxsDSOTJDZNiKwIRlgTFrnWc1r9mcHUvd4mgM002J0XhwE3P1g3jv8F/7A37/X73GZmY5m+fkuaUsM0yR8b1v7bHoez7SfJmdn/1FTFFCU8FqLkDxwV2Wr91j+uGr+FVF/uwFOH8eZjOoKryTmaPVnX2O5g1nt+Tm7cLuWCbMPWSZYbXqeetoxYMmTKQYrVOUqIxpAITLcGO0mdnAEA6zaWo2pExg52GaaY2eEadRiBmLtQt5l0TCTRMBIgOscR3ODESNg3iMVO7qPBGkx3MqYRe3TyQmo8sEHOTtwC7KASVaArRFwmwlgDJLQEjeJzWMur0dTk41S8l6kYcqcGyD4UvRiORzTeboBeRZN0hK8wA+lY1rc6kVXE6kbrEIwfdlJQze5QdQWfjuR+BTvyAAbvtkkHvaHq59OAC+Aj72tQG0VmMBvwfn4d5zcOUONKWM25ljkZM2I6JT68ElyXPcDiqoc0/W2blqDLefX89qTOsUNTNRXUeVCUzrCRXUKRPorNwmrRkCBeAN0pa6pOqxiBEkbgD9KZuofdZjoXLXp7HTKbtozp2lvXQG0zls0+OKLNQMDuuqeZdtejBZcDI9BSgJ8tHMRBmpjpfk+4V+FTbWObqRvAYBgd6AG1myxpH+3nsD+aqXtoNRiytMcBMNUtbWky/heCV1i5tlxbliwcPRFt+aPc9PnXmDfb/FP7z1J3nP7yzoNgvqnQKXB4bQwrlrPfmyx7Zjbv/weTZszcyNOWw26Lzl3uEZpg8sy+d6bG1oz/aMt2vqVQGtjX985b6hPO6oduRgVOdsPJYuM+SVZ/vGEo7CSWcsJreioihyGBX4zGBX4QawHMnFIQvT/l4BtsV0Pb7tJNKiJAA/caSV2a7AuFQd6pKqLG3MXbRBdmrD7JH1UITJWO+lVhGG+sW3AcaUXfwZ+Oj2IOk8XUOYTvar5FOBXwooYYieSMGKrqPtpXEOGoWRtn0pvD7NJt5kkFdqO6mByxHcuvceFh+wbDzrhHi7jQDGXwT+TzDPA/83/D8f+o/E/ObHQzuXYMqSr/13Pw1vwi/9+ieY/fBFwXEBYFLCG3/8Cv+Mv8Rf5h+zzzP8aT7PR/k2N3kvB5ynpmREzWf4CxLH8VNhWH7+EVne03cZbFZwcwx/B+CryRfcYqhTnAZWMM1QhPW7kRxh/mbI8VxBF9jHNFpEwWCacZnWh+p68TinbKJ+oP1YMQDG07fuA7t4ZvI8z2U/TGsaViwo/QQMEYxIoiKAZWUqjLeMyAKLKICyD3c+IzIKCkZkoYZRJuY7BjfUkoKWjoKciSkkZxGovNQ6TkxB5Xr6pCbOYjjxFbm3jIPUsjQZvRdZa4aldj1HTUF1lDOZrTCTEnumJN9s6b/3kOxHr8DJjPlv3eDv3LKcdRd4JtuitJZpZiis59MPWk76mtpd4Ff3H2LGI1jV+OMaes/jW1P+6GTMR3dWzLuMFzaWXNyec7Ics+xyem/IjOfmsmC/XnFpLD9cVzctNtx/5hbmredbzU1OqjtypgTjmsyOKOyEkd0kMwVVJySCyFFdYBKDps1kWJMHJnCJ8y1kAuh62igxLZA+LI1IT31yN6XrKQMpGY05melFERPqGnsnNxvOtwNDqQZu77D8/2YWFRA0TUPbtmvGJgrCUqbwdBj7aDSKRispA5W2o4sC0NFoFBk7ZTJ1e5VPptumbp4pWFmtVhHcqBSzqiqapmG5XOK9j7LTo6MjnHMcHh7y8Y9/nNlsxng8ZnNzk7Nnz9K2LTs7O0wmE6bTKdevX+fll19mPp+zWq0iS3rt2jV2d3fJsozRaMTu7m6UnirYraqKO3fucP78eay1nD9/nvF4HAGt957Dw0MODw8HDXhgDLVdEHCXxo8AEYi/U3xGWqs4Go3W2EMdRwWY8aSxdo0tTp1x9f/p82lH2tOLMoW1c9SBBdTyniywVM6Lnt5DZKN0kaiJMCvBBQAAIABJREFUcFPkB2Dpw3Z6alhU6gilsTEsftU7OqfnocyEaf1iPKfC9hrXYYOUdRFcvTIjctncCAjz1QoWxyJD2j4HG5twsAeuxz+6y6O/90847Hqm1rK1VbB7fkzTOEYXt5lOc7aKnO9dP8Z/6Q/wJ4/xyxO5+Vgtab/2EuPnz0OWYSZjuHwZmgbqGsI51c9rbt444eLZMcYYdncnFNMSk1maRsb44PGKu41UJVgMEysh9yNr2Awz7fPeUTkfjWdAAGVpDSMFcl7ZXhOZxbG1kruYsIdZONZZGE+tdwzYLDinDscqJVCGZ+lHHtjIfOjW2qKAoBkJWPPhvo4ATFKJpzMDGxW/YyOOn7DOQKXt6EmmsslRM8grlckEaV8jInzyJ5D1gyxW1/FWQJ1xA2OZBxDWlCJF9UbqFseV1A46K6Y2H/8VAWnjSgxpzj4RQLgT2NXpAq6/F17+YYm/WE1k26oUMLn7SFi7US1S1LaQsWsDo1hN4M5VqVO0Tp7HVQC0hfTr8Jw8FHQpY5j1g3FNXbIWPwLyOusGdvF0fIYNADxv5bgUTWAPkzpQBZh6XKwPbHHCLKbM5elnm7Tz1HPKBqBVd9i6E2CoF6sgJTXOo+6nbpSJG2pY+jLDjcJsuzqkar+S/3uD1B5mkpXog/lNturXayNNMMVJL1Th3FQXVh+Ks/Olk/czE3Mc88pTtzkP622cN1wdH7IzWnFzdo7WZ3x3eZXlv7hE9mRJN8loNi3VWZGONtuebmJoNzN23mr57dd/hFv1LvvNNp23nDRj/Oub1Odkhs6VnvH5FV2b4ZuBUbQ1bN3pWe7mYAQo9mNiNIjxnslhT/7wGC02N+VIgGKe4cehLmjVgGYi6ilQZPJ/ZRcVNBqJvfBZhisL3CjDlxlulEuUSWbkeIaHutB6Y3RWa5CxGhPb1P/LcQjPWTZIYt+2BEZrD3mkdYipKY0CQ2WjdNGoCZJ1YACIaV2cZileYqiPu8kAFrtkvRSgaj9UwqqA503WgesmcHPMQXlepKg5IkO9Dfxk2O7PgRmtJDfyPUhN488CB/BRXhJC7yMw/28u8NrffUGiLt4Xtn0W/gZ/i5/hM5Q0XOQhP8NnOOIsjzkfGMWOBzzL3t97H/x56cP45w+5vHGfUVYzP9iR2cJ/Bbz2mAG0P4Mwh/pAmCseM2QqJmMRmcUU1E2IhjbpQ02J0ocys7rpWgSnCW8WyUok/58gzOPTM/HECT5jaWYsOZYKRCNgJPPCXnWmo6fF4Zj4cTSkAdhgwsRL212oWAQt0XFrLqo1DTmWqRnFTMaZr6nDCaRqr8b36/fnwRynJI8lRt57jp24/Rdk9DgKa5m3nrrK8Y9Xcl19ZpvsTEZzu4HO4a8/5Nc+/QEeu1tsM+F8mfPsRk7Vey6PO7aLnLP5mK8drLj7iQ7/8Aj/ZIHvHP1Jz2fvXOa9Gy2ZcWzmPc+fO6Zuc1ZtTuNEKDtrM7572PH8VDwnrmxYNnO5DFQimODuouVB90ooZMoosg0yOyKzJWUm1Piqf0LrVhR2OHaFmTIyU3ITZKU+xGcYic/IGTM224zZlIffCKZExdqjDbM7CiityaOM1ZAJEA13USYyvnJdEqlsjjHvzh1+X2DxdEwGDHl8IEyhSkDTcPr0szRaAQbmUZ/fxjoFVkwNaVReeTqfUUGhPitwUnCijKa6gWofmqahaRqqqqLvexaLBW3bUpZlNIl5+PAhr7zyCp///Ocpy5LNzU3G4zGz2YzZbMZiseDq1avR1Obb3/42d+/ejf194403sNbGCIxnn302gqwU9L711ltRAjudTtnY2Ijj5b1nNpvx4MGDaCaTgjEF0saYyPKqI6qCPB07HU9lElMwl7qonpbyKrB+moEOsFavmDLG6eSBypPjOYWG2UtMBgzGJiCy0MaLBDQzJv4GK4vYeBfA4LocVWd7MjPcz8tYhfrGMPlbeydqscBUau1bbkPoqjExUF5ZRDG8kX00LjCQxtJ5oslN7RyrqpPZ5ZMnwgiWUxhvCCt47y381z7Lp14/YDOzbI9zJpOc45Oa45OG7mjJlfedZXurYGdzRPXpr8Jbr0K9EqD50jcw1mIvnBfJ6XveI2YPfQ/LpUihgAcv32c6zRmPczY3CsptiVNxnUzQHJ803K4bluGmR+9tLLCZCRDLjGEZgOLYmigN1RzKxhMAtwK9wfjGMNQoioTXx2Pkw3Es7DC+PpzPZejIUK9InAgoAjhUkN+ERzzGCRgoAtDTPD4QIKESUOvWGUL9zAdGUeWoyvDp8xrr5AdiwZmBgeutMHguic/QjEcbGDYFoio3zZxsYwLo7HOiyU0zErDYBzlqW0hNoZrEPHwGXvkh+PyfErZxMwDJ2ZY8Fhtw9Y4Y4GzP4Ns/BnevDv1944PSh51jAXHP3h9MZ6rxIFV96/0COssapiupk1R2zhuYBfmpmsmkYEiBtAnAUmWpKYvoskHKqkxfanyjbKKyhRpPosfLmdBuAJQKwLNw85vWK8Zcxn4AiCqNXWN+VcJoLKYMmVbVcDetDKM4mZpYS4j32N5hGxfBYCpH9cHgxgeQGU8pE85LmSEja1w0vMlahw0svytCvmFgJ4V5lIaEPZRn23o5v0dWgu+DyU1WO/LK0/eWh9UWMzdmJ1uyM1rRO8tXT97H77z1ES7/wUPctKTZyujHMJp5RjNHvjTMrlqaTUt9JiN7eZMvHLyfk25M6zK+d/2yHKMzHXSG0TNLsszhvcHUmcRlANvXoZtY+hLaqaHbIEpp8bK/6Z0FNOu/fRiDH49EImotpmmFZdQojcxKXWjfI3mKVthEY1gzvrFBZmqknjTGkwQpMU5ApysEUEpxkomg1LSDyY1GmpDnkveYZXLN71L0pdl8OSJrZMjjg4FhVHloyjDqZ6fBoDJ8p2scYQCcSlLtMQBQ3Q8MoEalkTsMQDSN1EgZyHnSpz3gJqyYwocQjLWPMItj4N+F6//DJbhSSrsfRQDjN+TxJu/nQ//Bt+T9H4f/mH8I/3kYohL++U//eUY0/HG+yYwt/iK/zZQVDSPu8yxHSIH0xz/7HwrovAL8ILx45i16clb1VC4A3yhEAsvDZID0+Xwyfg8Z3FCTce4g/HoxMH2J8Y0CaB3v+altuzC2Or4p3gQGFlEzFwnPWk+pxjdpzIFBp1ttJhlImscH0FKzMgta0wpg9APD2NBS0QS2sE/kqB15kJlqhIYuFhPqG0WquvQNXWAkV1S04cQskfiNkcnIjTyPrXzR3Fhy5FF5uT+fmhGt76PJzarvmLWersvoHtWwqmFjgt0ucD30r9znwSdb/tHh77Nhz3N+VLJZWA6qnoOq57DJ+JFzhvNlzsWy5F/eeJb6Gwf4RQOd59VvXSAznmcnK+o+4wO7h2S5o3eGWVtQhfqFrzy2bI8yNgrDTmk5OxIioXVySX+0crzK67S95K9HMGYs42w7Rl00bkFhJxR2ijU2RmF0VHS+wpoiMn0uMb6xZBR+hPUWZxytkXs8Afw9jp4RU0o/ERMceiwZIyPnQucktcGagszKb1hmR1ibh312ONfg3Lsb3HxfYDE1kBmPZRpEAYA+p5mIMMhLFXwo65WCPW1blxSspBmBIJLS1CglZS/T/aZOp9ovNZLR7TVDUZmutm1ZrVY0TUPf92xsbLCxscG9e/f43Oc+x6NHj6Jz6t7eHnVdU1UVDx484M6dO9y/f58nT57wxS9+kS9/+cssl0sePHjAw4cPuXjxYnQ1nUwmkeFs2xZrLQ8ePKCqKs6ePYsxhrNnz0ZZpwKsR48eMZvNomtqCtyUPVXwrrWEqdRXx/l0HmOWZZThBkjZ2RTMp9unMuH0fWVHUynraeB/mnkEkaBaBAjsBOlP54VQ7xGGyfswoxWOW4YJ5jQSzl6F2sYmsIcmaVsXG9ZvnNRAGgZgtHIuzH4N+3KhD84P+1XpZO9lvx4BMU2ooTQBQJV2qF2kaWA+w9crqTfcPAPbO3D9Neb//A+4tmzovOfJquP+wyVV1VO1PU9uHHL3+hPuPF5xMGv44lfu0P3up2B2DDffoLt1n/z5S1BVcOECZmNTbn4WC6hrjLUs39hjVXXsnhfZ6faFDYnQcJ6uc3S9Z++44lHb44HSGMogPd3MBvA2S4Bk4wUg58kxdF5iMpRVFCaRCPjacFzCfV+UrYZ7MDEgCuOV1jYuex9Zxcg0nmIQ1SQn/RFTNkoz/GAAbwoEVOoYa9wCiNO4DGW9uiIAxoTtiedzkDN2RXA09UMdXRVYEQKAdJaYwahOqSBATQ1ttF9ZF1hQOYnpMwGFynS1I2EDm0I+21jI496z8Lk/LYY3LhPn071n5LtUpQC4O1fh/mUxnfniT8GXf0KkrQ8uCdi8+HBwNZ2E/MPVRICdddJGNZbPjZdnlXX2YWwfXRRwqrmG+hg1A3vaBPmp5jCqbDc9hqfzGLNexgEGdlZrT50hRo9obakeqrS2UWXGUcrK2+Wmp5lH6ZAXoFjkmM2NcFI56KX+0HQuXDz8UMeWGXwhMkvbusgIZq2TCYZ05kt3E4qws8ZFAxsf2P1s1UUJJMpChlmXWAcJZPUAQk0vTKXPBobOGzCdpy9tlL32XcZRNeG4m1K5gmdGJ+xO5rz08DlGX9rC332A6XvK456NvZ689uSVZ7rn2brj2LzXMD7see4LK25+/QqPqk1eeXSJ4lFBu9thWgs7DdNxI9eCVQCKFiYPLXnlqc7KzF59NgBnHyZRejG1yZ4spB5xVEjNUZELUCwEvJmqHsawE3Do8+TWxnthIZUBzLLASsqNq22dAMUwZlpXYAJzLIY3elINFwJTt7FNEw1zTl2ozOmJ8NRd8wPD2wrgtE7wtLxUmb0jxAjmiAE4Pk2yqgygSkpTBusm6wAyZS+1DzBIJxUUal1kut85QzQFcMSOsIEXkXrDN4BrsPgrlh/nq8BvyDZfQWIr7srj06/8ea79039LgNwfwJf/zJ/lr37s78IHYPGXLZ/kF/g5fo/HnOdjfJWri7v0ZNzhKkfsUFLz2/xFuAlnfnYPcvjQD32LETU9Gcv5FOZGTG32NPT+XPK4ksSDLMMA5MgfaXuK/UspW60xNDIOMLCzKUBMo0cUTOpxiotmOSoAhbfXRupEQzoj4AGLMQVlLqDZ0eK8MIgdNT74Z/ahmLmgZOTHeOOoTc3cLKhNzYoKh0skq8NFNEOczVchfsNiyMN6M3NMb7oAIBXCuMBIerogQV26lgxDF0xyHJ7CZFS+jQqnlo4NxrHmsW4z2iOPX1TQdJhzG4x2LccvOf7htas8mn2XjpqHzYo3TyoWrWPedbx2Ynn50PPa4oR71ZLfuLvPJ7/4XvrHDcd/5Hn9ZIsXtxYsu5znNhdsbMo1alaVVH1GZjzXZiXz1vHsVO43npv6WIbTOnncWM150t3EexdrFPNMnE8LM8V7x8oFDwuThVgMyUuMR9A7iccIrGJmSnIjrCJAbVY44yJA9LgoQfU4Csp4zNLaxqafS5tYkbWGPqSLMTZcp94dDn7fNYtAdD9NWTtgLbz9tOlJXdcR2KhktCzL+FoGaj1OQ9tW4OO9j4yWLim7qO2o++hpuaP2JWXkFIyqyU2WZcxmM8qyjN9zPp/z0ksvRWfTqqpiTSHA/fv3I9v3wQ9+kJdffpkvfvGLPPPMMxweHnLu3LkIurQGUSNGiqJgNptx9+5ddnd3cc6xvb0daw2VnTw6OuLw8HAtf1LHSRlVZVx13PS4pJLgdKxTc5wUAOqxSo1tTrvXpkAxZSfTmsTTBjfvJD8FOJdbNjITZYUCAAb5ae+J7qb6O1w5H+WShgGoZYl8tEXBoYA5i4AagzBhHtlG5a4KGPV1G+7kGifbCws6yB6t0Xo8ubvJ0BxBj+s9nJyIVOr4AMYbmOk2fjzBHx/xtdceUznP0on5TmmHMb39YE4TAOuPvrjD118/5KXf/R5/7Pkv4x/uk186LzereY555hIYiw/yU8qS/skJ928ccfHilN55Ns9OsJNCgGLd4pzn8LDmoO3iOOp3yk3IVDSGxrngdDpISdX0R8G0sH8uMro2MLIWgzNyUa1DG4UZshJlPGXRDEwCO1kFSSsM4BKv5kJBAhMYTtIitWRR91NljDInq+UBtUb2yIBpZb/1aGD81HGzbAQYdrmsG0GmF5ZL21bg401g+8zQNX2t2YwgoMyGNtJaM2XZdGxMYNw0TmMxFTA025a+TSrZ33wLXvpR6aeykNvJJOH9ywI0MfDB1+HlH4Ev/qTkLR6eE5dUFxxGzz0myne7XBja2aZkKu4eSD+2T0KtIYGdzEQOe3iW6G6aRl0os9oXg2RXQaACA5X6prEmqTmOZl1mnYBgBaIuA9QRNZwKXR7YxCwcg2wAgGlN4mmDm3eSnwLYrU3MuMRbC9YOLGIu9W6mdzGg3tlMrld1J6zUSICj6TyutEM+oveY1g/upkYAjwAQomGNKzMBhj6sF1QNYZZK+tdIDZ2AznBNRtsjRD74uG9vJZKiX+QUz/TcXp3lXL7gmeKYzWKX+WLMC9+u8E2DrVryVUddDjchW/e6AELh8Q8UXHyp4/KXe7598QWyJzn9WXGE8plnZ2eJMZ62yaGz+MKTzS2bdx2rXYtx0GwbXMgxzRr5uyiPHKNHK3EbzXOGqAsbGESL6Tph95TJy4NpTRacar0XJ1QCoxukIb7IQtwIuNxiqw5fWHyRYXo3yFX1et86XB68r43B9n0E3CpvNQ6Rpya/fT57p9++DyFZfUGSpoyWAonTxjYg4E0ZqdNALY2/SGvhxknbCvguJevmp16frmE8LZNM29P/J86fb/IiPz7/jhjb3EeMbvbhe+UP8OjfeR44hMrDzQRcAfw6EYSe+fU9jn/+Ev/7f/tf8Qt/+1N8iT/JT/IlGkZMWPIn6y+RdXAQ5Kc7HPE9foA/+vifYPzLh9TViPf9wCuc5zE9GY8X52mrEfwhkl/JY6Q+cRp2HhxQYxaiOp2Gz/NikNuin58LgxbOgTRuZDM5VmmNaIrxNAOT5BisObDq60MGUxutk3z6UhbnGBVbIiukEGkhNgCJjN6IvY2jJ/NiJbM0c0ZepKeGjta0bPgpGRk1TZjY9XQIEBSRYyaOqliaAFymfhMX/injqDLUPhitrEINo0Rk2Xi9zlB7F4k4y8ho6Mm8uOIfrSY8V5zgHszJtiZidLNxzPHxmE/uP8K7isodc8KCqRl02teOVxGE/tSFTT71aME/vu74wJfOcWe+wfMbKzpnKKzj0oUTjPVUdUHdZ4yznoN6xB898bywmdF7uDiBSSZ/3qte7k33lh137A3abiVsXRJ1UdgpGQU1c1q3wpo8gMASazJySnpaPH10K/W+x5gSayyFmZBT0NFS+JKlOaFkyshPaE0dAaINctLarCh8Kfc1WDqqCAylJjHDeuhcGycBRO4q59q7/PwB3yezqEsKVuSLDUyffq6LMoi6vjJfp8ENEM1ZFKSobFRBpDKYKVA6HQ2RSioVkKVuqmtfOvkOTdNwfHzMaDRiNptF8FeWJfP5nP39/SgFVafW1NlV25tM5I94f3+fT3ziE7Rty2QyoW1bLl26FOWwypAaY7h58yYbGxtMJhPG43GUny6XMrO1Wq3Y39+PpjXpcTjNKp52Nk3rFnXslJlMx8x7H01uUiZYgaDWPKbHru/7OMZpLInu42mmOE+rSQVhFpWtSm/9XQB9qUldG9i+cL9OHW6aDGGmxweZKVJXp+BFZZBqPOECkAxlP9KGke2jHNOYaMRiMdQh89EyuKmqQs2HdvRb102Pf3wI4wk8eYxvw6/MeAOOjrhZNzgPD5qOZWRy5ZsPDquQb5YY4H7T8p1/8Blc08HmpjCIzz8vN1BdC8tllFY9efkuW5sF5UbJaDoi35kKUDyRi9Fy2XF/WTPv1y8No5CnqG6l896v1QRmDCY1JvRTgaPWMyrId3hGxmIw8f8KgI1Rie/Qbh/A4DIAVJu0r/s4XZvYKRP8tjNqHawIkxPOqcBGpUyWGqjYMEvQjIhgsLcB3ITP1JxFWTJ1B1UQqQym9UMbXT4wXEalr0baUUCmEshOJ7LD/rQdkHWPdwSkzbakjhBEdjrfgP1nghR0Kzi16vdFJK1AjBHBSx7jJ35J2pms5PnSXpDDhppLBVY33wsbS1lvXAX5KVI/CcJA7l+Eem2WfKhT1PgLjejQY6OmQXqcVOqrzCQwZBBaGX+DbONV6mvk87wbjqvKWvtMmEw9TqlpkJrqpIuCx6e5oppcwAkEZjBq311g8IZrnmnDnURgC23dC4AxxCxEjIC/IYBeLly2c/FCqAyiCZIIBZRazwgDuJR6V0NWh6zFAF5M52M+qAkzbjFXsvFkJxkbRcOD5RlmvRzAnWJFtygY3X0iERBPTsiWXTiHAxDSmJnM0E+kb9P7K678TobpDGbcYzrD9OKCPHN0fUZX52H8PJu3DO2GbNuPoQvpA3kgVPKVZ/qgxi7Xf/t8nkGprKLDVA1YG8ff5xY1qfHGCHizVgCd1jMaNanxuFEWTir5v216qfU0JtQvKkAV9tB0DltJfWRkFHUCwfvBEUuX3sFTw663iDf+ESzwdoAIg0NqKiVV4KEOp/qZZiemTORpBjEFk2k9I6w7ro7DvvTzdF/aZgqA9uAlPiry048yGIreh+/xQfiDJQJ8vijspn5fGNjMMVwt70ibvwm//Gu/x4wtrnKHI3b4Rf4l04VjtVnwgGfpycjo+fv3/hp8BK6eucOzZx7wIm/Sk3GD90i7b47F/fTgacdhmoDBEwbJJ4NhkB4nfPisZZCJJuOjQF7bS1lYlfqm66uMlyUDo6j7b3k7OFyF9ztOL5kt442/TVwuB4A43BM2ZkVvejQgfmnmEQx29NQ0kSWcMCInp2SEw1FTo6YofXBXTcGkxcZ6RhBGMgsAMsOydC2178iM5Dg2XlhKA5FdVMXQqnM8WI3JNgztXotfBgXd1ojDxYTr/ht4PCfVHWZW2DtVhLXBaCfHsl14LJY3uMHf/M4WtTNsj2qqPuP9Fw+xhaNvLYtqhA+qpa8fjjhXipvqVgFnC/F6OAoS+pPW80a3z8I9Jl1yW1LabQojbqV1fxyAYjDaDIBRj1PvW7IQaZFbmaAwZGQBKE78BjaA/o6WyszxOKy3Ur8YjmtGQW86OmpWXuojDZbet7Eu0eGwdp2tju6oT71ODcv3XbOoACSNnTjNPim4UJCWrgOsAQn9TB1VU0YxzRZMt1cQo/V3qfQxzVhM19c20vgNbUef9/f3o4upOpkWRcH9+/c5OjqKAE7Bnu5fQZS2MZ/P2dvb45vf/CZ7e3vMZjN2d3fZ3NyMNYUgbOjdu3ej/FRlqinQdc5x//59Tk5OInBLx0f3rU6sKRuroM85F2tJUylxup4Cde1Xuh89rqmzaTqmup9Ugnza1TZd1iTHCFtVJoAkNZWJII7BHKVXiWjSpsNHENN5AYFaz6YslrJeQKxz1EUiMHzMdZT4DVlBABLx/0MfZf0uAEgFmh3ynnOe1Y1HUIygqaGp8Ks5jMa0b93lVtXhgINWZLSr4LpqGEBR7+HwwYyTvue1ZcOnHs9YvfkQnjyBZ5+FnXOBVQy/tkVB9dodqrpn68IGfdVQXt7BZBa3aunbnr733D5Yctz30VFUawJzM8SGHHUu5idG0G2DRNx7FsH0JpA90WAoC+BuZAYTaInRMHEsVXYalHNBchzyKb0AT2UuXdifGuk8bUmPpcoWlckCYZW0/jANatd1XCYgwSWnrLentg/1cSrJVOMUXSeVtUIAoFp/5wegAgOQPb2+SlRj/IYf2lFAu39R+t3mwhRWYyg6uP+cMHveiLS0y4caR+uHmj1nYf+CRFvsXYJv/jHYuyzM4e5j2JxJX9tQ55m3wihWpchOm9EgP1UQ5oxkOp5sEesLlTlMawM1ekPfU8ZQv3c7GsZB6wy1xjF1UYX1WsdUdpo6m8YxtcN+UglyzGd8yrIGFo3BFDkURQQOpu+Hi5CyT4YQrRBARVKjKNv4OPMlGYteTGuawGIF0De4og6uqQCmFaBi1CLamOHzUJ+Yrm+Djl8zGxU02lD3qJEf4wPLOGtZtQXzvuSg22Izqxnt5bD/GLzDnZxg2l6iPQJQ99nwvcaPPPlxjb39kK3PvcnkoYF5TnauZmdjhTGeRmc3Ms/kXk5We+qzBttAsyOMZ9aCDSzy1r2W/KiSSbBQg+jzTIChOpbOKzG10bzFwBjiPabvMXUjrGOYzVOzG28tvrBibKPGaIWVdbLABuo1I0yqmd5j2sAa9k6YTe+Hh3NDTMe7LhrDcI4IBJTZg3UQp+AizVDUResTST5X4KHM37vlJWoEhuY65snnut3p9bUGT+M38qSdAGh/j5+D4/D1ziNOpo/h4/wK8Luhke/K+jcZgGsSIfFHX/0TEm1x86vwN/6Q/5df5lU+zM/whzx34xDTwUEmSHSTGf8X/z7cHfORH/g6j/tdPsZXGdFwwHnmiy3qqhTm8hswmNpMiYA97vtEOpuyigq658jEbGT6ivVyR2V8dbx3Th0DXbdKnqOZkA/7UxDYIaBwm7fLUHVJIzQMxhTk2TgCko6KIR4hmJ5gGQVzFA10T6dbe9ORhT/s1rR0gWlc0QQvVINEbSgTJYyjLrWpaU1La5rAE5rou5qFGsU+2V/tOzw+ZDZ2ETTWtEE829F7z5vzEXZs6VcGVg3+eIGZFrx6vMWT5VuAo2oOaFgxczWddyGmK3hq4LgxhwN7n9vLr/Kp+W/w2mzEo9WEF3ZO2DzXYAzUlXyvke15+XiDRed5dupZ9fDcuCM3nmVvaBx0Dq7NZhxwW+oMQzxFHgC7gsFFtx/zE7PAGI6Y4ujpqKncMa1b4ZC8RDG7KYPn6ZSJ34iy0tJPUD/UzOdRdtqHbKSelpqlQHjfUtiJUCNeHs53InV9h7upf1OExvfNLJ6Yi2hdAAAgAElEQVR209QllRwqGEuliQooFIikQe4pyFBGS0100siLFNyl9YypDFL3rcxZWhupzFxqxKJL3/ecnJxEJvDg4CDKQPf29iLAU6OedH/aF+ccr7/+OkdHRyyXSxaLBZ/+9Kep65ozZ85EUxvt73K5ZG9vL9Yz7u7urjGuXdexv78fgaLKVtUBdTwer0laUwA4Ho+p63rNUCiVp+q4p6A9dZM9LW3V8XqatDSVDp8e17T9d1oUiEgEgiweBQ/Ja4bfYI8wXh4JiBf2iqiNV+ZQtg9gDpFSauSFYWApO69gkTizpWe3RjWo86qAVXmvcg4HdE72lYetHAKAVk9WAhQ3t+DBbZm1qZfMrj9iGW7qGudpgpsq4bu2oT8Oz3fvn3C77jhoe/bbnt/5zgP8qsKc3xVpTN/LwxhYLHh8+4hzl7dwdcf46nm5wep6XNvRdZ4He0uOup42SEinNmQmGsN2JpMvqxCBMbImHp8Na6mdj8dDWD8YBaBZOwF2+j0U5Knp/CiwtMrIghxvF46nC+eUmOdIG8o2pzWS+lrNcp62nHbTBCAAEr2p14xDNbjxBLYKAUgKOn1gCyPIMINUUk10rAtmOgru7AD4tJ4xNWlRKaoyZ102AMe6DP0LslfbD/3vrQCythD56cH5IAMtpD5RTWXUqCfuL9Rf9mE/r38Qjs4KqFxswKf/rDCCZ44H51A1hllOBUxefCT72T0YWLsul77vPxOAYjbIVtUBdbxiTdKq0lPjhaGsg0ut9i2Vp/YB7GnMSQSA4YDl7XpfgGg0lDJpKTBPpbG6pFmW77QIqxjAmE6MBkAijqjE2sW0HtHnIrVyowwsuMzGesIwIxKZZNsKo9iP7OCCaoy833ts57DdUM8oz6F/4Y/G5etgFCBb9TIOrQs1stp/YQeLGSy7ETvjFa8cX6b3lpNuwvShwYXfTd92mKZLJJkCdE0ngPbcq0uyR0f44xPc0TFX/tUBtjbsbC8prBhGuHBSmcoyfeipLhhsC9V5AYqmB9PJ83TfURzVAvjaTvISRwVkGW5jLEC5aoM8NYtA0U1HmErAoZjbOHE9zUWeGoFjONbC8jr0B0bBo+mTbEv9gfLB+dYIcI1uqPqbl6ppdLK7f6ffvi0GN80wqBGQnHqd1iNqjuJp9iqtc9TtFcwpgNFtlKU8Yp2xTOM1VIqqir40Z/Fu0r72SftXwasPPywg8QbwC6HNi/AvHv8iQjkCnAz90/0p6KyAvwIcvAG8DHyLPfM+HvIMP3Z4DRbQltBQktFzh6t8+Zt/lo987OscscOfyT7DiJolE2ZssZxPaX9zW4BiBwL2npFOMYVdM0h0eYwAtAAULzG41FYwsH4BxKUAH9YBYDr2+r6u2yWPHKKUABiYxJRR1Ncr3mmxdoQxmcgYw7SvAhIfqghb0+Dpo8GNw1F4YQvHfhoiNISdaqnxsUZONDx1iGUQplGeLZba1PSmpzYrarOK9Yw9Q7xG4wfTG4A2BHUAzM0Ch6cO7qtFCka946A2uKWj2IHm9Zkw/4uG780y+l5UeN631H4+7M/1NL4L1ZU9n53d5FH9GlX7iLrZ5+/vf55Fl3N2d4EtPL439M5iDJy0I16fGd67CVVveM+0JzPQegGKrYPrs559+5COitatGNkNyUw0JZv2IpaMyp0IULRlBIobZpfKn+BxdL7G+VbyFE1JbksavySNsehMJ/WKOAwZY79J7nP68L6cPTYcYzlONmQ0qhtqpmxz4nYapaf+35zbGbf5flZK69tOM3r6OgV8yrwpGDwN0tLaxrIs11g+OfD+bUAodTtVB9DTACattQOiYY2CzzTrMd3nbDbj6OiI8XjMcrmkqiqOj4+5devWWntHR0fR3CYFrSCAVPcHcPfu3Wh2k7KFANevX495jePxOII/HSt1P9WsRo3RUPdT/Z4K3NWspyiKteOgTJ9uq2Og45EywMpUnq4fBdakq6lMWLfT/b+byc3TTrxxyPHLA/MXJ80RwKVxGW0Ac9aYNRAYVFWAbKtAY2xtBIE62e4RcKZSU3FHNzFnUdk1BakwsJrKghHacB4KY6MzamQ8vbzuvefouIZHe5KxODuB5RwO93nr1mwN7NyqO2onbF3rtc4ynFPhfXX8/Oqs5tVPXcPPTqBaQdtE+en8W9c5c3aMHeVk0xHZZin3tc7Ttz1HxzV3FjVL5+g87OQ21ohOAiuo5j7WwHYm4K00UkfQB7a28wMTaeP4SVSGtqfsbxYBtI/1hspeDtJjE82ERH4qkwDbSf/eyeTm9BLr2wJISHP59LUaznT54LzpQ/lEV8jJpwCizwYJZ9mss3wgoKQpBqmpso1q6jIKoCkCmKSPKThpglGOgk+VgmIGVtNlUqt4tCNAa7kh7OHxDtx6z3p7RzsCxKrJOmgFAaTNaGDh7l4ZzG4U1LlQ63f9/bB9LMBsXA/gTwHzbDsY34QIDo3RUPdTzYtU4F7WA7hOj4MyfbqtdcIsFiEjUkFgNLNhnc1NGUcdYx03fZ31w/7fzeTm7SeVxYxGgXWy4Q/eBUmoCcBPwJltXZQlmnAhsW0vtYbKGPYC+gDcOBNZYzuAO+PBNk5yFJVpzAwut7gQveGDw8IwGWJCluPQbRtcVF0AnxoBEWM6AmgdnXjun2yzM1rxpJrwuN3g5uIc2zc7mYjS5dETcVBd9lJvqbNrIPV+VRVdP93r13nmqzBflSzbgrbP8M6Agc0bGc0ZI8z7CFyYIDFeWMXRiWfj7ops0cg4T8cCvozBjwuRmLrA8FmDn5QyKTbKg2usCzJgF5lIkZdYfJHjygIfwKXWIqiklyQDU99zapRjjOy3c8PrLJP9h328o8nN2pIzuGwqCPDr7J4+FMyl5igKRlJWUSWcV1hj+SCse8AgJdVHyDdklwGEpuAnDZGHwShnN2kjBamhH+4rG1Q/iURmfAB4HvhxaP/WNutg5wsCxN5kHbRCcIe9x+D4+T/y3/8vv8qNc5fgIszOjKlDMuD/xH/NlT/2BlvMuMhDLnOfnJ6enPliC/eVDTHNeTOMM8+EsTeDxLTSzwqidvZ0liUwSIfzYZx0/FIQmLCka2wtrOdopmZCrBCQqmyi4Z1Nbk4vlsxK9II1BdYE6WGoKxR/0Y6OltqshEEkxxkBGApG8gjkGlojE0WbfpvWtNSmjiyiw7OipqYNTGNG5jNKP2HqNpn4CQV5rFsE+Z0vg7vq8I0FHo79JDqjqumN9Lal8479lWNxNyM7k9Mcgj9e0d1Z8dJhBX5gNg9Xb7Cg4thXSG9dZNGW5oSmm+GD4+f9o8/zT2/mLI9L2qWlayy9M1jj+fLjKc+MobSwmXu2il68KDw0DvZXjmvtXU78Pr1vmebnsaYQMGe3KZJaRGMyJtlZMlMwMpvhWLS0finy08BEGiNC05GZMjbb5JQRBKqBDQh72AUmMWUc5SyQY935GkOG8x2ZKRlnZ2P/3snk5vtZ3hUsKgBInU0VBKQMXlrjlr6njJ4yhM456rpekyvqdmkeo2YFpixkWuOodXrKgqVZgCnDqCDmtOlNmgvZNA2LxYJ79+5F9u7g4IAnT55wcHDwVBnsablrKqdN6/O+9rWv8dprrzGfz2P/79+/z2q1Ynt7m67r2NnZiX1brVbR9Eblozruo9Eomu/AAITH4/HbpJ+nTWVOx1ak3yUFn6l89fR5oHWiqbz4tFvqacYylZ3qmGSYKEFVyaHGLUwSF81ewSCDiY1KNgFGRqXKYnjjvMgmDZqDKLEWowA4Wq9mLuL0KXVyPhrpeC9AUOIxTKi/Y02imlsBRiYBmzAwZEEdRuU8i0WHv/4WjEooS2EX9x+w17YR/AAhyF6yH5Vw0O/VeDHBEXMXefzO/jHd17+DP36Cb6Vep79+i9WipTi/iWs6RkF+CtDNKo6PG24drmj8kJnownhPM8tGJrBu6cQ1VoGkfj8Zi/VsyyasCwO4bgPYHIV1HUPNaE8KwoljrNu0CkSTfZR2vV6xS8YHwpjgIwBQCWrKKuZh4kyZMK1xUyZQHVBhiNtwRt5zVkCL8QPbpll/ur3WyqkrqMZyELZpCgFNCnoiGxYAWd4Fx9PwWcomRmfIwM4tpnDvuYG9O7gAT3bgYPfpMtjIqpnhe3WFMI9pfd7X/m147Qel9rHLpQ/3nxXp6PZMttl5MrB8q4nURt59LkSR5MO4jxoBZVobqcB0XA2yUj1pTPp9ORVbYZLvYgR4K8jOO9YcUbU9lQgrAFUJcVqjmoV+pozi6egKCWjPBgnqqIhSRkBYLhBQ0jlwCLAzQS7a9jEg3o2y2L+s6kLGoSUWXhtDX1r6wkaZqMslCkOlqGuxHAFM+twKS2gIzJywad6IpLIvBdj6zKyxiVLDK9tltaNYOp482GYjrxnnHdeOL3Hv+AyThyt8+pvRNtJ+ZgbXUB33psPXDb7v8c7jnefMZ96if2OTk8WYrssw1pM9KMlXnnZTjrvIT8MkUgXFzLN1p5a6wbaLUk8/LvCTEf3GSMa4ajFdj5+OY3SGHDupRfTJ75LpekwXTPd0YrmVukQ3ysTQxnlcYdcdUYF4obcG0/YBYAsQTbMTvfZT6xUTkxs5CTzRRCVKUBMTE73Apa6jKl1U1u1uaEvjLLrwnhqqpDWECgJ1e43DSIHdONnmgAE4qXQylagqsNTPUjYxrVvcA16Df7bx7wmB9xj4BVj8tIXfhnWweLhmjBOBqvaHhwz1eS38l1/gV/mbvHHxCjO2KGn4LX6FvVtX+TCvMmOLj/E1SgQM3OEq829cgP9Z2/PEi4W6y74Y+l15BJheWZeMppLguMyIIFb7rABecxUrBvnq6bzL9LiuSYvVbEf3p+eMjlvKAKlcVWYUjSnIg+RQGanSbMmafiUMFj05BZaMmiUNKxZIjd/ES/G5wzE3MzrTUfgS420wrDFM/ZQJ4ygTLRlFQNjRD7Ecoc5xRR1TANU1tQ1QSTMWN0J7YsejbKgP7Jj8W9Bw1PS8cfc8ZpqRTzzNGwvmdzKum5t4hmtU11e0piVHaiGHjEhH7ed0/TLRn3k+cfIbfO7OZWZPxrRtRmY9rz45w0kLF0pH7eC5SUsWLggnneVR5fmj5WOJIvFLcTulZ2y3mdqznPEXAqt4TO9qpvm5KCsFYQEzJD9Rl97V9K4Ofe3jcfM4xn6DkZfax9KXa46o0p4AdTEbWtH7lo4q1EEObquj0E814HGujTJlOdvc2v+ftrwrWNSb/bQ2TwHB04LfTy/qsLlcLqOcM61jTKWcCrbato0ZiBq3oUvKYAIRUKUGLu8ke0z3k9ZV6nLz5k3qumYymbBYLDg4OOD4+HjNmOXs2bPkeU7f97EN3edisaBpmrUavpOTEz75yU/y+PHjyBjevHmT8+fPxzpFdXPV7Mb9/X2aplnLTFTWUJ1odZwUFFpro9usjlHbtlGG6r2nLMsIoPWYpcyijlHqspqaCunnOmFwOmsRBuYx3W/6mbU23uwrKFCXyyIBJxDAhIkqLYDAQorscd73SdbicMkYpJwCtmrvqL2jCc6jlXO0SW2PSlHlIiX5jY0LTCYCLLsgaz29KMvYh/4bs6ZyovrudVgtYWMLTo7w9+/xsOnixQrgveOCwkpuoBq/aDTIftMz7/XyKUDpbt3z+7/7KuztiQPq0ZGY2lzextUt5eUdbJHh2p728ZzF0YoHj1dUTr7X2A7Os6W1jANoq51j2bvB0dSodNfEMVWWUyNOzgRQqeCzSJjFocjch/oBEcc4BvZYx98lrKI1AhL1c2UWG6/rDuMvNZeJYUc4CRQA2NRABXmdne5AAJl1KexaGySgykKCADtlIjsNqh+FDMRyiNvQRYGKD2CmLWS71MDFZUkfkkXjOLos1FUG0Kl/BDdfENZwshIZ6cEFOD6TgBykrjDvpL9am6n7XGwIgEtr+E624ZO/AI93B8bw5nvh/MEQp5H30qfZpgDF/Yvy3dPMROsETKsTbTsaJLGaJzlqBSS6wJa2o0GG6o0Y9uSdAE5MMgZhTIFY+xjrTg1rZkBdNkwYqAQ464bP9f10v7pEV1St99HfuQAAfJZBGsuQ2xCzMExQeGPwwWEzm9eYxg3AL8gUTDcwkVkruYdZLbmMWdWLfLRNfst6lVaKHNI2LsRsEA1ubAp0kiVmNfYeV5ioetPvPbldcNxOOFsuOVxOODrcIHs8I9bjAVzcxRdWHF01uN4HyevJAr9ahfUdeEd/cMB7/uWS+nBC11ma+YjNW4bqnMhPmx2PzzymN+QzQzHzbDzsBFA3AhR9IcygK3PcOMdbg607TCORFcIQWnwpdYim72OtIn0fGUg3HYsr7aQQlrfIoqxY2UDbSu1o/G5B5htlxRqRoqyilRrI+Lkyi52UBqyZuVnDgAq2wvNK3kvr9WBw1TzN9KnD5musZy2mBjEq5dTcw73w+i5D3IYuChoVsBwwsIe6fwWup5eDZHutzUsks/8bfxWeBW5A+4PwmfJn4OYJEfgB8BcGp1CtzdR9cgNhFtMavs/yT374P+Xz/CnmbPEqH+bv3/tr/MQLn+eIHT7GV5myZMmUV/kw19/6sBja3A39xQys3iUGF9k9EHlsPoA5ZU+jLLhFDGgCaMu3pa0r4XMdg5QpVCY3/W4p8IyMIsOYrAFTZRZPiOdKXJSVVgWYFJkrAMgZr8UyKFjRQAtp3VIwZmlOODIPqcwSh6MzErcBREaxpWFFxdIsWZolK7NibhYxbkOX3gho7I1AtYomxGw4MiMGN22Qmp5edL2WlpIigk6VlX7jcBt30pKftVSPM+7tn+Gge5P0DvHcxgcofUlLFzMePY7WtMza+/T9PKwrd1Or+h5/+8Yd7j7Zpm0zHs+nfP1wxPNTT+UMVyYdhfW0zvCoznlUwfXZirk9oWZOYaaMzBRLwZQzTNgmo2DJMU2/wJiMnLHUH5rNYFgjuYqVO6b3tWQc4phmu4zMlKk5K0yimURWWFne2tTkPhdTmxCboaAaoPMiOVYG0Rob+heMQMP7vasHU5t4tg2uqO+0/BtlqKfNTk47Wp6OpdB1FJwpuEyjMmAwTTld73jaSCdlMhXIqIwy3VZZvRS4KpBLQW76vi51XXP79m2Ojo4i6Lp58yar1SrKWy9evMiLL774VMfQvu9jnWBq9gPw5ptv8oUvfIEnT55w7do1zpw5E+Wn6pY6m804PDxkf38/Sl1TJ9IUNGqERzrmCvK89xEk6ngokEzHSZ1pdVzSsdUxVXCqtZG6jS5pDWV6LqTg+p3OGTFVGdQ6gYiRdRGgGObM1kCF1vP1XuoWJQYjBX56KQjnhU52KFhRpsxoPwQ0STi8jeAUCPmN4n6Vxkt45J5B9jW4rwpoHb7Pquu5/8ZjONgTV1RraF55iyedE0mGsfzQxogf2ZiE7EiVsIp8s8cz692aLFX/WD93vOLmb38DHj1i+eVX2NjdwIxysmlJtjXBVS3twYzFwxkP9pY8bjtWoTZSHU5H4btnxtB42ZfKPnW8MyNxF1VgEZXlzI3kMfowxo3zsYZTWVZtS+tLDazVQVZukNfqMs0sZdIHPVYi8fVrx+70D05qnALEujWQZ+MGCaJumspRvRVAYyCGvcMQsaE31vrZaSOdyGQGFjE1ZYnb5oHVCyBIjWe0HjKCXD/sMzKGRmoLb78gMtNRI/u8+R5h+lTeenEfXnxzYPq0JtI4AaF1uc686vObH4Av/JTkMF77kNQw5r3ITycr6fdsW6I29i8GqWs57DfrhXHV798UIpONYx7GzoZa0LYY6isVRI8a+Z46Tk2I+3Dhb0zHW+tL8TLGGnfSlLLfdIk1lAnuUiltKg2O50yymCyTfEX9bfN+YKe8DyyWIZrcQJRBSt2gE0BjiHWFIFJUMUUZgCOAzwWsRKtgvX7mAj7FlMUGcBj+HtpQX+cUxCXfScGpR8CR91GGquvkK8fWHc+d2Q6bRS2TNbdL/GIZmNUR+QtXmP3Q7sC+BdCqjKZfrcQ1NQInOWmz77zBhS9ntEdjNl4f0ZwBn0NfQj/22M5QzAzlEWzsO8rDWhhZE6Itcosb5fLdM4ttesyyHqSlAJ3UJRrnMHUHXY9p2igH9uNRiCjpMU2HqVsZu1Av6nIZTx/caDEGV2TBJdUIeK3XVTmMCvwoX7fqDs63nPrtW3cY1Ho3vSlr1xm1lHk6XQenwE7ZvxRsnJZL6mfKoCmJkf9/pL1pzGXJfd73qzrL3d6l9+7p7iGHQ444HJKhRImhrIVRBCWQAwGGEgmxnXxI4AQJEAEGki8GLCA2IgFOkABBEASJHSRyIDMBHEEWskiOSFm2RqRIDsVlhjPDmVHP1nu/+93OWpUP//rXqXu7Ofqg02i8dzmnTp2qc+89z3me//Mkr+t7CoxSlkzBqDKS2r+UKcu3XtN13oGv/j8/Cz8JPJTP6v/Efwy8hoCcC8B/AH/HbJrHKEhdALzLYESTdPyV3+Bv/NMv8jU+z6/ya3zmxreD/PRhdEt9mU/ztQefh//DSFTGbQZ2dIdBNqp5kQt1HC2GsVMJakXoh7KcE+DiIAdWeW9ag6jjrUyuSlWV6Y3gNV2K4SbBxpKC6+ScSRZDhjVlZBS1PhGEpcoCv5dGLIgMck1LRU9LHiIYWjO03ZsOT78BHAEKXzLyo2iEo2Cu8AWFLxj5UZCV5vE3uqaLERYjimg8ozLVLtbamVh5l0peF13Ld46het9hZ+Ia982Dc6yaQ4RZLbmw+2n+UvavMKIIoFQ8YDMyWmrq9jTcoE9vQ8P3zn6b37i1y93TXf7gwTmuTTyl9exkjv2io+otD+qCO2vDrbOW2/YeS44HMxpGjMwOhS8p/IjKLFn1h2QhtgQExKk0tXYLOlfTuGV0KR1nezh6Gr+iZkHlT6P81OEiOCx8EWsXJ37K2M+wGBb2jGrz7gOl3aE0O1t1ijbWNQLDOfPnMIpx+z93hS0WUesRUxmi1uRtL6lxirKAKUh8EqBMQaeuq/tPaxmVwUrb0iVlHLUfynbBYHiTGuzM53Nee+01rLWMx2Oqqoo1ghcvXuQTn/gEN27ciP3S7ZTpSw17YABiXdfx4osv8q1vfYu2bdnb26NpGnZ2dqiqipOTEw4PDzk+Po4xGdvOpVpr2XUdi4WcFAomdXy2xzYFgSmwVoD7pBiLtLZU50HBZTq+KivW+dL+pXOi+9L9pe8pG6VLE+ISnPcajUYdQOH2kjqmNj4wXQGMaH2j5igaBhlrPEa9qI8SUh+YxIElBNleJZKyLx8ZRxiAnffy9VOFc8uhJjtwdtbgv/kNkSxNd+gXFdbATmZ4bpLz+b0pH3p6Z2gvfEUYE2SeYf96xCqgqJznt9894uBL38HVLcUlYRWLCzP6ZUXz4JTlvTMODtfcrRvWzoXrIAGKOSbUiMoxHgWZljVSR6qAvUmOX2syhZmU8VMA5wiquh8wX6Bknonz3YR96zK2Nsh4BxnwOoDTJqET1WDHYjbeU6ZJF61HjDJEE2ryniDVV+dMGFjAPpyIEVAGcxXrBXilDI5KJ5XF9DbUMmYDgwUMOYK6r3JgHEHW79W91Q/yWG8HQDnfFTBnnUg7qzGxRvDiIXziNbhxe+iXyjWtH1i8FCil+YYv/hR860dkDPbO5Bh2FrKPk3NweAGOL4ijago61ZRGay27XLIfYQCTmMBOBuZUx0NjMtJIC+2XgronzRc6F36YN60f1aVoZBw1fiNzw3j3yXmgLHLKOALyuS3KuJ7p+sA6iQzUeI+tOmGdthbT9hE42KYXoBNkolrfqOYq3iB1hWkpQWC8vJrW9D7WIUZpKnJ8mncI8liZxLhd79A4iGzdx9f1Llc5d9x78zKFceyMarIq3ASeTMhuXOPsR66xuBHuTnc+RMB4sAbbdNB1gVHUu2Vy7L5puPz/vc257+bYFtpdj22hmzlsZShODaNjGB85JvcqAYqBvfN5cD3VWsu2JzsJZhbWQJEL6MsFRMYv5gAEfZGLEY1GWugxq/zjsfkK4y0/GmEse0zdy1zquTIqYr2qt6F/TSvMczes53sn42BsYnQzQcCSLvPNbL4OYbo2r/tkSVk+ZQFVJpoCym3QmW4Pm/V02kbKiKV1kem+UiCa7ud20p4Cppfgv/rIr0AF5j24y1Nh5RvAvw2/dpHiV86G9tI4jwMQNq1jAEYqwzyCn/8uf+PO/8Ix5/g0L3PCOT7O97nLdV7ix/jKg5/A/d5sYBW1nwoQFZCeAG/peZATDWsURMY6RQVsF3hMCpKC5O0lNbTRedCxTBneS8k6MbZE72ieJSuuw3+N1wjvmZw8G1Bm52oxN6ElNyMcPWt/SstmBA0MUkeAtVlSmQUtNZYs1je2pkazE8WBcxiDNkh+Cy/Xg73pWJt18DLtaI28r+Y40RzQt5FJlHZamvC+xbIwy9ieD/DmUdXyjVdvQG4Z7TrmnYTIWzvj3Ox5fqb4y7xwTr6rW9PQh38WQ2WW9C6Et8arRymM8a7ii8df5Hfu7FH1hqujnsoZLo465l3O3Srn9spwe9nzprvNkmPURCZnRIGwtq1paMyaQ/eOTIvJKKy4nuZmRMUCF+orRfLZU9gJmSmwgSUE6H0rDCBbN6iAxsgJZ7GYYFK0NisqFrR+kHiPzR42BJZkIW+z9nP6wCrq4nyLcx3GWLzvcH6TENpePhAsbssMU3YuBQUKxFQeqe/ptqkENDXL2TbJ0ba0Pi41UlHgmQIyBUtpTZ4CWZW9PrFuLtTXtW0bjWnW6zWvv/46y+WS8Xgc+zWbzbh58yY3btxgPB5H9lL7pUyf7m978d6zXC559dVX2dvbo6oqptMpVVVxeHjI0dERZ2dn3L9//7EcRz02NalZrVZx/8r6pZmLac3hdkRJmkOphjopY6n/tx1oUzlpGrmhclY9xjTS40nmNlEyy2ZdmgssIQxMoEFAQOc9tXM0bvjo6LoKCnvvoxGNDWYpCkwi0AnXCGgRUhYAACAASURBVK0f3FGVqdS6N3VBVUas98P1R2ak7q4Nd2B6hn4qwMsCg9YEN9HKOZZ9z9FX3oCzEzG6QT5wV4qM56cjPvShXUbTEh/YOq23bJxn6Ryr/vGLGj2eh23Pt985obi0S7+syHcn9Iua+vYxZw8WHJ/U3DmrWelFJ8OHvcOj973OQozGOOQs2sDqjhM21kF0QCU81npPPaZpZqNhkG6noE/rSxXoq0xV+2TDuiM7sIoecVvVaA/7hHNKmUsFLLqkNWnxwt8HIJYN8kh9T7eNUtNsADlG6/7CTYGYXWiH+rg0x0+BpzcC1FCw5Ddr8mwwvlEXU58cuLfyX2sh2yIY04yERXz9eZGTjsPFivGSfXjzNty4I2ygspdab6lMX7vFvKVjtpzBqy8IUKzGMF3L38OLwiie7YnzahVKaVJ5bJ8Fkxov5jtaW6gMaJq5mPcDa5rWDioDCgMYNoFJzPsBUFonkSE6Z2p+o7LfLID5vJd60Mgkm81IjydJNqMM1dhBggoCMFTt0imwMMJk9X2QR3bDe0GqqiyjGqNoGDzODa6tyvSFPEWjbGH4IoqRDYEpjBmABmzvBAyC1CY6AZXSHrGfxgUWMBeq3rY9WdWRVz35qmf/+xkPql32Sz2pDHZ/j+rZy8xvZHRjInupMlbbOOyqwVePX4gCeOdxp2dcenlNuwtZZegmnqw2jI4N4yPP6NQxu9eQhfw0HBE0m05AOdaQzUOMRpHDqIyA0o2DXDUXUGh6N2Qd9k7GWRVFmTim+hC/oWCULMSWlDpnbmBmnUiICQwyucWPE/mp94gjq5W/P+C3T9DAbvJqkqGnoCOVKKqENMkfBB6PvFAmK81OTOMZ0rrHFFimMlZtJ0/ahgHAHiTtkbRTba2jcte34FcPfx0+gRjdAAJyPgu/cJXxrxxx/eLdTQmntnEfhMl70tICfwp/dcy/xMvc5Sme5n3ucp0/4qf5zvd/HPfiDH6TIccxkcdG1jAnGN4o+JoOx3uNhFH1DMYz+jxpb4xIUZVJ1LnQ/1pfmrKP2zmauk9tswO9tfqDozNy5NyxUYIqvXPR+bLz8pm0ZHS+pqNmxSkVi/ieSlVbv6ajDkBR4jVyCno6NHJDGUZxOrU0pqI2a4y39KanMRXiSC8yVItl5EdYDE0AgwAFGQ5PFZw8+3BlJ/vo6U1H4Uu8cazNioWZs6DirK/58oMp/aOGfD98PxjLdHSVF7Iv8ML5gt1CruVGXsxhtHZy6Q/o3eoJ4yg34lf1A758fI8rIwGh+7lj3ma8u8q5vTTcXzneqI6YG8lT9H4wzmkR1tBgOfF3cL6jsFNGdg+DJTcjJuxRMiE3I2FrfRtrB3vf4mhjTWNmCmbmYmASS0aMybzUJWYUjL2cizLecuWqNYw2sJkFI8ZmL/bR48iNxKpk9gdEZxiL+YvIUNU5UxkkBQ8KjlKWbztPcdsIZZvhUkOa7egMXS81uInHY0zsj+5HGTR1SdVFgZOCLV1fjyOVs2of79+/z7vvvov3PrqUTqdTLl68SFEUMWsxZUy7rotZh9uxItrnsixZr9dR5grw6NEjHj58yHw+5/DwkKqqIkOo7qcqVy3LMo67gjkdH32+LY1N3WNTZi81Hkoda3+QSc82UE+dWNPMRWDjr95YSOXENriOTjMBdhZizt5Z71g5zzr818gMXZz3G2DDouXdoBWAWvem7psxOsMIE6Vy0rRla4gB8iA/B32QUY7sJgOqkkrN29b1xdFT3i8D4NHnd+4u8a+/At6R7YzZzy0Xi4yr05KizKiWTawD1H413nPUihmNMKSb55Swk1ZqCB+cYidyTlXvHnBw54yzecOjM3E+Layh9Z5JYO4KY5hayyjUj550jmk4mDIAxVIvrhjiRRSYja1hagdzGmUJ09xF5ze3bbyLDKkLrwtQlyNWllIA+WBuBAMTrI6zKqPVccgDACiCFDF1PVVw1CQM3kaeoiHmMDo7uJlaZbSMPE4ZOk+omfMDm6mmKfEz7wXMpPJGn4CnMrmBp3LRPtt0+tTjSOWsypLefwre/bCsN67k/3QlzGLRwmoix5sypl0xZB1uxIokfS4bWUdlrgCPLovsdL4joLEaS5+6PLifepGfjivZxpmQ/6hlOO0wP3psURqbjKGCSs2njMZDZmAcFWB2udSW6nykGZUpW5mypj6ZewX8UfbrNuXE1iHy0/FITjJjYg2cWdXQtGKy0rQCYFJi0fuYw6jZij4zSr0H0GmGrMUgh9ToDG+NyE1zu9muCWDGaj+F4XO5pR9lYmgTFlfIwNjebeQ2YolmLi6AVhPcQGf3e16/cw2HoR+Dn03wuzPWlwtcAfkaMgWxymI2PWaxxjUDI7hxTlmDmYzJVg3lKbhSNhwfGCYPPcXCMz7syVatGM20PW5agAVXZPSTAjfKBLStKjEagkGaWuZxzMVoSAA51krN47gQKW3fC6gPxkPRndZ7vXMlsSSNi/NBqGeMDLEPtY6hDtK0PSade2UPNU4ls2D1zpBe+KsTp7JDa6hWwCqwdZ4NaaouKdBIc/tSg5mUoVN2UNmq1OBGF5VHpiBFjVm0pk+XVC6a5jbmyTZpTMQOtL+xx5/865+BHK5zD3GT+TT8ApzbP+H9B09vyjghgNK32cgy3FgK4Aa8BS/1P8Yl5OL9S/wcr/3zz0o24+8hQFHrIZ9hAMPPhOPqQFBtAIEqTU3NgxYwgMkJYGBshvcJx6rsZVpnqoBcGUp9LQXiCpTT+dowvNEvaGVVJwyGN9InMbaZYsgwxuJcR+87Vv0hjVtQuTNqP8f5x81MNIdRpZBZML9xAfIZLC0VXXDfFNfUOohZM0o/pvAjfGLBbDExggMILfWMGDFjwozh+nzkR3gcTXBU1fWNt3R0jPyIiZ+GOr+Ogow3Tzve++4u3sFu7pgUF5iVV/hwuc84g7MW1lTUpo5MXWVWLNtHOFejV2vpYjAU2Q6n5pB7lWWaybjfWub82RwOa8ft9Zq5PaFkSuvX7JiLWMT9dc+fZ+p28DhW3RGlFVJgZHbIzYhxoPIdGpUhQDozOYWZMrb7GDI6Kjpf0/oVKy/sZRYktd64GE1SmVWMM+lpaakjQ+xxlGZKjzCyrV+LK6uSHMEJVesVrSmwNg/j8BcEiwp8UtOS1HE0fa7AT4Glgou2bR8DHbq+Aj99rg6f23mNypSl7JgCUa2bU6dV3Yea0CiASevytO1tIDqfz/n2t7/NarWKQGw0GjGbzbDWMp/PY1+VyWzblvV6/QONdQDKsmQymTCdTplMJhwdHTGfzyOrqSBU+5xKOvWYl8vlRl/VtEbrGHXcUsCaSlP1NXWd3TawSaM1gNiegk+dp/T9dDutk0z3r4838hnDMQiIUDAhrqDx9cDOabafMcIsqUx01TtVUAmADCCjw1NaAX4at1E5F+MsRGEUzikCqxWgmMoynRfwmBthFtfO0bkgEfWEKI3AtBpDjonZjQoaYbg3eNp0rP7gGzA/wxQZU2uYWcPuXomxlpPTOuY86raNdxx3LjKYT1pm1jDLLPm5KfnumPreCadnDXXTU1U9866Pks3CmAi+xfFexuAkkU1pfeLESmVDE8ZiHUx8FByreysMXx6jwCiqhFjZX3H9N8EBl5iz2DOwiY33CWM5nCcGMbVZ9W4rw5FQ2+DjPhT4pKYlaf5e+rxPwFKsXQs1dCr1VNChTKMCUX3ejDYdTdP9W0d0W7WO6Mip2YPODoY4muOYRmnEmsd2aDsCUS9tz3fh2z8soFCB2KiG2UL2Od8LklY7SD7bABY/KE+wbKQ+cbqUv0fnZV91Kce8mg1joIDRBaCrY7BMzDrEfGWIrNCIkK7YBKzaJgyvFS2bBjb98L5VoyI/mA4p+DSOmOkIm+0q8G+39q+P0xrGeNOv7/FdL1LCTnL/ZLKdOG223UbwuxigCCOFgihHBB22dcKYlbkAmbaXOI2qFYlnYA71A2dciNAIMlWfAE1XWonM6D1ZpREcCghNlEaoI6o4rppwhy28F56XZz3jlyccraf4zEtd3qSk2TF4K5EWmquoTKhtevxiKXLLH7CY8Zh+WtJNpU5xdCJmNlnjyWtPMW+FyetcAIwuAG0Xv2Cy00Fi5a3UJ7pJIc6stUhQTdPGsZITfmB5Y+1nKSykD4ZEPonF8NlQfyo5i32UrXprMW0/sMVpuxa0TjJln324KTDULOqFWGpacoYAIxBAMJfnKQjUpQvr6Hsnyd8Fj+co3maTgVSQtw04VZapsRg7yfbalgJCZRZV0plKKBXk6POX4D/kH8BzMGUFTGHHwA/DiEYiLVKACwEsvs4H5QnCDfgYfCx7i6d5n6/xeR5980PCSN4GXknGZIdNFlXH862kOQW8yhBGgOfZnAS/GSWi45Aa2Oh3Xyp7TdncbWZW118kr+dhXzzc2n+HgERVsBWx5mwwLZG/rVtvvN66dczv0zgN5wVsNG6B1jk2yDq1WdNSM2ZHWEQkbmNpTmhNQ0uLhsOD1ECmQfE5Oa0RKeqYkpKMDscCibTo6enoGVHQmz4cTUFBHhxXbWAG9TpDrv0fdSv+r/eu0h5BYaUub2LPc2EsMWYP1y7sV9oHkdeum0N4gqxTl7LYZd9f5Hzp2Ss6bq8zDmpYd55l6zg0p9Ss6KgpzGQIvjddBMZH7v3YXobIgGecJ6OgYiH1in6O9xKnAdD6VWR5NRuzNDuUZhqAoosSX4uh8KPAYmYxZ7EP2ZcZBa1fkYeIjRaVrMqNhM5XNP1SWNGkVtGQRTD5RMYxWf5cZjGNYdAf0JSp0/8pi6SMVVrnlmb9aVtpHV2WZUwmkw1gqf9TYxptNzWaUelquk6e59R1TVEUsYYxla9qhqH2UQHfN7/5TQ4ODui6jqIomM1mzGYzLl68yHw+fyz3Udm4dElBqLWWnZ0drl69ygsvvMCHPvShKH8tiiJmNuo4gIDL8XgcMyhPTk5wzkXpZ+pYmprWKNjL8zxGbKTAXZlaBYmpbDQF6Ho8atyT9mt7LlNgq+1vm9xYa6MbqzJvEVAwsFpANEkRFklAhQ0nqmMAlTAAMpUoGkxk5zyiHJplFucHcKq1cnriqwS1dZ7CmshGBrd6GYfQamZMDKxXmWwf7mEVxlCF2kAFZkvn6D1841v38fdu45uOsbXsZhmzWcHo5gXOzhpVQmECuGqdZ7V18yFlQ3NjuFZm3JiNmPz4pzE/9Bxt3VFVHUVuWbd9dCzVusLSSBbi2AooPOo6Ou/ZC5ItAxQhb7H1IqNdORdloGNrOBculmyQpjrEudSH/VgzAG8bADvhee11bAQA6hiNw+dWZasCKqXvTRhrrTTQqVcX1L1MjkclhdtmMwoYUufPyCL5gbFK69y0Di5tK9bRBRZzsk7YrFDjGCMzGGSkaaREmusY1zECDuuRgCONoVA5Zd5BNRoALAbWUwFG3/xRcULtcqnNmy1hFtjF+W6S++hDrWD+uAQ1ZUOtk/rEqw/ghdfgQ++JXLceCUtajYY+KOAsQ/7iqJHXTvbl76gexjLvBNx1eXCQHQ0y0LwLERvJOHszMLUKvq0P0lJHrDk1XtojgFWNOsEMrKgNUR3Ws1E/qvLebZMb66TveQcURfhApuwQw3NlCb2PtXHeBBbRe4l+iIPLwHgRHutvhAOfWfppKYxU5zZrHGM+Y4h1aB2+sEFK6rDdkBMotbTyPK96XJlJW52LdbYuN2RVH3INRWKZrwQYXf1GzYOjPWxncKOCbndENzXUFzyjeT/kPhoBoKbt8fWWBDX57SPL8Ps7LK+PWH+8wt5cYRvIaulHvnaxD4TvOz/KcJMcN8qh9+SHa5GSjkdxLAXwCYCzdYutGslazDMoctzOeHOcvY/xFuJkasNNoiF/Ute3dSc3CzqHWUuOrfEePwoKnixEdVhA3Wm7XvYd2t8weMsyzCQJct9ghwivw1AbF64lUjCHH16HzRo3fZ4a5YwRIk8ZsrRWLgWNCmKUOVSQla6jIOg2Ag61HX3vHAO7psDsLXn/lV/8HH/63CeYsyvbfgrGzx/x0/wRvMQmaFVg95gENb22mgAvwL8Lv8av8u/zv3JwelH2fw5hFFNwSOjzTYRRrIAXtc2bw9gp86psoLqnsgtMYaxzlCw65gq+05rDtF7xPsM86Os6bjDUUabsMPOw79QNVhucIBTphWhso5JGBRy5keu0NKg9M2J0Y7BkphDBaCLNVBCZBXCqbqQAjp7M5+z7i3KtZFoqs6IyC2qqATSaLoCYWphD46jpaOjJwxVXH3IUCwrmrJj4MWtTUVPH90aULMyCNAPy1K/ocPz23VMe3t6hdoax2eOCv8650vDhacdB1aG5j5JaWNCwouu3JajJd5TJ2Stv8kPFFX722iGfuXLAuodl6yitYd5L7abKPQHG7LDjzzH1O/Sm54F5G+dbxplMqjGWkimFH4mPrD9j7Y+jDLSwE2b5lTBnFrmK7EO8hQvgW4F3RuZz6gj+DCtzhqMXabE7xgUZ6tjsA8Q6SgGJdaxVzK2wud4PMRly/uSMiv2N2tcnLR8IFrfjGFJ5YiphTJfUyEQBXCrdTEFgum1qQpOClxQQao2ehs8/yZlUwVDbthHUlGW5wXLpe9qWgkmAe/fu8cd//McbTNz58+fZ39/fYE/12FLn0ifV6o1GI86fP8+NGze4dOkS58+fZ3d3l+PjY9577z2Wy2XsI8B4PN5g7RaLxQaTqfLZbQYyrSVVpjGN91AAmjrNpmAwBe/pPGlch75ujIm1ldtup2kN6vaioH8nG8xVtPZNw+DzwB66rXOq8wObpSBTQZ+wZT7WIybXYInZzcAc6k11BXoGASmlHaSkKqFUZ1Iftmm9REsYJHZCJaIeiegwCOgrraHxEtFhgbermrPf/uexlqa0hunVPfLL+/QMbFkegPPSeSzimLotQQXYyyxXioKnP7yHeeoG5so1xuenHJ7W3DpYMe8dxkjdIUg9YRe+IA2Gs76ndsLoggDd0opMV8e08clYO8+ilzmYJDJbAZ82Rm0YBFjXTqWrAwPoPVGWOrFDZqP3Mobr4KZqUGDow9wT+v34UjmRC0cJox3+p+AwBQW6qNwRBgCn9YcqlUyfayfU/EZzF5VdjEY4geFSxi/mAho2nEmVxWwLNoLsU5arLQegVLQivexy2d+9p+CPf5JYl1a0EnGxfyJ9ECOVgZFLnUufVKs3quH8kdQ8XjqQx7tzyXF872lhDI0bgNh4vcnaLXaEtY1mP0E+m7ebDGRaS6oZjHniGls2AkCj06wPLq6lzFkK3tN5KpvhWHUMq7HMmfHyNzXP0X5vLxrLYcZjMDbIT/soL1T2SOSKmw2Yvh+Ah94UbftByhiMWlLzG+N9YLFCnZwxgxGOD/JIyfERt9RyyAXEDyDSW1kfj+QwBlAnMk7iByurXQRKrshEetnKa6P3jpl+bRqzD12Z0ZyDbs9hegR0pbmN60b6W5SRvUsXO53SXNlhccNy/sKCy+cWtDswOerYe7emWHRSfzkO3gPTMhk/yM8qYW6DAsIXGb7Mpd+tSH3p+mGsux5ThTzIshgiMEYFflLEKA5vZNyyOsyXNcOdqGSe/LgYMhsDc2xXwU3VBEdancd+c97TxbctYu6SMxiVJBmCTNgEBWGJ4AEiuExrDhWApFLOFPSlEtV86z0FaJfYzAVMnUm1SwcMgOZa0m6HgCEFSimYzIF/0vKz9R9QqrnKJfj8/tf5Eb61WbsXGTYfNrzA4xJUgGfg5+Daf3SLnzl9kU++fYsX9l+FLwH/NcIqah/D6hus3bd1nII5jB7/uXQM08/0HDgMrKQZQLTGZiirqGOs5kQqx9X50HlSplFfzxGAm45nXJRdfZI08AiYUOQ7Ij8NRiXOtxEgWpPjfc+202VHPdQzBpDZ+lVkFVtqGtY0DOY3A9vYoHEWrWlEtmoGJtJ4S+FLJn4cpaTSZhudSdXjszJr8uCcMPVTvHFoCP3KrCJQmvgplVkFCazhDf81/rc3n4rZhxM/5sbEcW1c03mBxpnPKcK4rd0xxliMCXcWt5Yi3+Omf54Xzmdcv3bKhWsrLo88d9Y131kecOjPsN4yCTd1dv3FaBZkvOXQ3KZJGMLCTBixw8hPaMxaQJ2vsAqoXU3Vn9H5mpHZJTMFzjvGZp+pOUfJNEqCW2qWZiUZloGt1PloqWn8irHdQzMbXagnXfhDJELD4iKdMchQlVncOC/6dTwfftDygWAxBWnbMtDt+kNdto1r7NaXZ8oapqxXCla2XTlTplINZWAAO7psZz2m5jipu6gek8ZeaL+89xRFwde//nVu3brFtWvXmM1mXLp0KbalwDBlTlUOCpusIsC5c+e4cuUK169fj1EZ169f58qVK7EWUbcpy5K2bWNshdZDavyFGtAow5hKbPV5KrVVkKkyXWUM03rH1ChHtwFiVEYqC1aAqnP0JAMkXXTuUvObvu9DDIOyQ8MN+zw8j6KdyDzKR1xBg7JK6aJgsvMaZeEjCFFGTkGQ3uQfTGsE3KzVYMlDnbCXaW0ioS9ad2cZnEG1jtFiojGOQ8DTLLP8i9cPuPfde9wclexmGaOnL4K10k7oT88AivfyNK5j85z68DjnqVnJ9Ieuwc4u1DWTH7rOU5emlIE51KkYWSsMnbGMQv3iSSeM4U4m+5C8xXADIQD3ccg6VGMbrd1UICjg2tMo62wkI7I0NhjSDMyszp2ypT0ibwVhM1XW24fvgfRTnN440PNFpMIifW2cj6xdrDfTc8UNIESf62QquIRNJjHuNwGLKetl/HAudKFoVh1SNRaiywUIVYEM6TMBO7rEGIeE1XJW2jNucBdV4KmxFxCAsBU28eufg1sfhWv3hVm8dBDOTzXoSfoDgxwUHgfP507gyiO4fidEZZRw/a68VrbDfkGAWVuG2IpG2l9PiPEXmreoDKNmSqrRjzKG6l6rIFNlusqAxnrHbojH0LFTUNokY9zpdt3AQKpZ0bYBki56vqTmN30GtA10nQBGm6FxED6zctNHz0v93lcJagQNCZOo0933A1hMWK/wpSXrdAE02iA7zUJcReuwdU+2Dr+NvSNLIh0iu6g3/IzmCAaAl0s8hAluXz4zG8Y6xoEflVz76py9W7C+OaPdzagvOgHcfbqdsJIAZjqV+jx4DDxz+QKrqyXra569cU3V5qyf6llezXGlFfmo9ndUYJsOV2a4kchR7aISxnBcQiZ5i30AlgKuvdQmhnH3mRUGEQLIdJBLnaFpgnqnFFbSlxJDQpD2apuAMJU6F024QCsyouutmhWleZvJsZvkt488D2z0EQI+lB1SEBDq4SKDFpjHnCfghK2LuRQsbtcwKvA4SV5TgKig8T6DEYyCHV3S2kTtj9bdKcBTyaqCxdRYpwLygtNPXeN3vvzX4N8DPgX/Kv+MjH4TsCoABgThKfu6bRr48/BL8Ev8nxRvQ3sBfonfgr/KAHq1v9cQ4HopPD4BKnUXvTisczM5/g7kiwrkA5m416ZspTrJwlCrmcZj6NgpUD1InuuP4bnk/XQs4pIiRz1fOoSJngBzur6id42wQzaPICAzhYCQcDWl8QnqFKGgwSas5LBXASGNX6EmMQpCtL2aChfqGq23FCEsvjEVK7PgzJwC0NCyNAOrp+xi7BcmhHO0ZD6nDHH1XXAxzXwe5aQ9LT09Y7vPPz58k68dWJ73H+eCnfGRWY01ns4LkC0o6OmpA6gr872kHm/zO+r89KN8tLzAC3sNo/2errK8sLfmoztjJozoTY8Ld2Qn7FGZJRM/Y+p3aEzFsntIZgrG2R6ZkbzFHS8MY4vUThYh61CNbQor57eCzNxIrIbGX4zZIfM5Yz9l4ieBSAjS1eBAu/bHMl++pvZzOU6mEch2Xlxt07zN9MaBni/eOzI7wppiwyn1ScsHVzSGJQV/qYwxlTWm7qhpWL2ChbTuDQQYKftVFMVj8sUUfClzpnV2KQhJJbEKhnQ93VZBrjKXWsuoUtM0p3A2m+G9ZzKZcPPmzfj37OyMs7MzTk9Po+Oruqg+KYRex2tvb4/z589z+fJliqKIbqvPPPMM9+7di6AszZfU/i0Wiw3prK6XHosuWjOo8lPdv4JtlfrqeKiUV8dZ2Uh1eNU2+76PrGcKPPW/srTpmOp8p2OybYIUwR+BIfCB4TIeZ0wMYld5kgLJLjCPWieodW8GARDOE5lCAY0m1v5FY0wPDRLTYdGvD1lfMx49AtKUfRM/hCEP0aLyS+jwsS6wxTEyltYPLNlOZvEeptOcD093mMwK+NjH4OiI467noO1YhSzDpXMctSESxD8OFA2GS3nGxYtj7I2noByBO4HplKufusb7/+wWdRiPzCDCEyNZkt7DvO8jIFfpb5TbBiCkl0C1k/rQC0UWj8XiozTYhTFVkC41nV5+FIw62oLzQ6aiGuLsZlpvQaw7lPH0gTEUgNp5ovTX6vzH/vp4HsEm+Isyxn6QHcZYhADcYli9HcBCrHsr5IDLNtQVBqZQaxx1t6mstFfZpAvMoxnazQyR3VIwpOupwY0JDFBvBWDl3SB1LQJDp+Y7s6Xsc7KGmwHg3XwfzvbFtfR0f3B8bUoBc08Kodfx2jsTZvLygQC95VRMa555W1jMppTxyHrI3QD2nIHFbGhTAWBaM7jhmhrksJN1eC3MvQJ2NfFR8N/ZoY4TQt1jLutppqK6zJbht663AipdOFcUgMY+BwCt852OiTLTw0mlxZJGQEfvcONMQIj3MYg9bqJAUrMUbYbWvdlGmDQ/yuTDpiYtPoCmpMZQ5sVjGif1itaEmyBepKu5gcAmem/IggOqMoqSh+hDfZ4PERrCSJrOYWuHG2USRh/W73dHGO/pJjC/mdFNDMX1OfV8RHnSkh8uBTx1Pb6q8fM5vuvwyrpunFSG/sKM6ryhu9QyyVtO3AQ/csyfsezcNWR1H2JDLL4weJuJxNZDdlbH/dluVgAAIABJREFUNn0RfuNVMt87GYPwG2DaDtO0YsqjjF8wJvKZiS6wJoA843r63OKKUOLQhBgT54ZMxU7Y5Ch/DWZFIgUhrNsJmC1yed52cl6YHBTMgrDScVHGqEAu/teQT6HbQ8BR+GAcpB9S/QCFujUFJAcQjWq0Bu4SA2jcdlJNWcI0W1Glpl3y/yDZNm1PnytwVNBznwGUKa55Pvz9WAu/Atc+/D5/nS/yMp+GP0GYPg4Rpu8OksU4Z2Bd06WA5w38nOfn+DIcQfMJy3Xu8ld+8n/nd/7nv7bJcp5L/nYI65hKfNO/aXakjgcPgauPM35p1EkaXZJmUqaRJBuZiiuZa91nalSU1m5GQHjEIF9eJR1RZloW57SESC7+e98y4Ty5qcUcxbd0vorNiwxVQKMYnYxi3VvtF2LeYnboacVZkx0BjcbhAhhR6akzjpZFzHMU5hG8ceJqmkhh1wH45eS4wAK2piHzuRjA4GgDI9maltosmPodaqOyWM8+V3E49krDJ8sxewW8cOU2B/MZ980ZD/yf0bgFvatpujl1e4R3DT5EZWwuhkv2Wa7PMp7dPcVODO7IsFu0/NjFEa/PLStzJpY+PidH8g5HfoTDccy9CHwLI/Oa+UDUmC4CahBg2PRLZvnlYCTUY42NsuDeS9RJS4XB0pmWEWMKn4NHIklMLeJTLx9skZjWTOx52WeoHe1MLedByHXMghGS9S2tW0dH1NT4yPkO1z850UGXDwSLKeuXRjGkbJOcpGYjMkFBmprYbLuSalv6PAUXuiioS1mz1LhFwc54PI4sl+5b20wZS/2bMmfT6TTKSBWQKgv21FNP8cILL7C/v8/+/j6vvPIKFy9eZDwec3JyQlVVcV97e3vcu3fvsaxJYwx1XTOdTtnd3aVtW1arFavVilu3bkWGVI9Bx0adT5umidJRPSYd15SFzbKMtm0jCEyNhnRJ60+331eQ9yRX29TJVrdV1jAFyamEOG0nfa/rOpwXh6e0blHz8tYpo4dEJ2g9orBYAt6mQTLaG+RCi0FgkDKV8oEY2nQQHFHDzYPA6nVeYzVkn+PA+GWYWK+obcv1rcgrTXhfmbHGC4tYORfumnkyLwYvmTXsP3uJ8sd/GHPxMly8gn/0R1wtcibWctx1nPUO18GFAm6UOd9aNNRbF2EWMd2Z7o7g/Hloavz8DOZz7n33HmsnctiJtbFmUOW9K+eY947zuY2xFnr8GgECMhYKAq2ROk2tSbQMg51BrDNUgkQjS7xXk5wtV1uIQN8m2wo768MNARFRaF2oNYbO+fhT6cJcdQFYpqxfGsWQsk0wMEypsYkCDQWCfRZuKngBZjCwWVkXmLsETGhEhWYsqtEKdmAm81Dbp8whCTjJXMJY2uFvZM4KibCoS3mvl/I4qUfs4Kl78MKrsH8q/185J3WL40pqCKvJsK+9MwF+3da3vvEiU50uYfdMWMPVDFZTYS6rsYzHuB62tYEFrMbC7o3XYQwC+9fn4eZDGCsFZ21BNAtKjYZ0yZI6w433Tajd/AGuthrbkbrZWom5E/Bth/lNMxV1LtP3upwgSwx3GfSGpJraNMmPqjFsRCZ4D10vdWxlAc4Hhiuwj3ruBEDocrmxYpLvPskJzGLGIpoP6IIbaetwZUY/zqIEFWcGls4qYCJKWI0jZjPapqefFdiqB2uCa6sAS59ZVtcM7uMLLuyt+NjOKd86fYbqyohiklMcVdhlFfa1i7mwj7v1Hr7dyugyFrtu6WaG0U7NuitYrkvsOmPvFuTrTm7UTPIh4zAXeW+26jBVjZtNBFCLFATbOXw/jJWazpimlfFpuygRJRlrnyd1hvq+fk69jMeTXG3JMtkm2dZnGcY4mRN1Ru3C9sos6x187/FdF8CiSk7TusVgctOl2YsFw6+ZLq2sp4zYY4YobEYxKIDRRWvk0ozF1HjlhKG2L5VR6heuAsR8a9uUOfsYUjs4ZpN9HMMvfPif8Pf4W3zy7i34Grz0iz8Kv4CQiC9ehIMLyc5+CvjvGIx/dMnhNtz86Fu8wKtwAd4ZPcM7PCPM5TuhXzcZWEplLd8BuhXkF4fxSY19dKxUKrpow0pe1AWEYm2SdlOglyePFWhvOJsibTEd9q3rax8rkHnOGQBzjoBEBYZt8t5hrD8z2MgeOtfRu5razuOeLZbcjCNw8Tg6J3LU0u7gvKOjFpVMMESBARAWfoTF0pnhgDyO0k+SjMU+MoW1WVOzDrV9O8IckkGoSZTZFEmqRG+IUUxPH7MZK7Nk311gYc7EvIU6pAaOyFzG87s9P/v0fc5dXjO5AQ/+aIdnzFPs+n3u5e+ycA8jENofP8ODs6/jH8sRtCw55nwJF3ZWuLVnMR9x0pR87cByxhJLxsztxYzDwos769wes+6P2cmukCdgWwFdF25MtH5NbkY0boExltavUJMZQ5Zcr46i/FQlpMbbRLa7oEcA6DAHPZkZYYzd2DZnRG9aAYC+xdPTu5reS6aicy3OD5LWvm9wvqVz2w5O26P1AUvMxkvkNGksRlofqMCyLMsI1BR8peyfLgo6FUykJjFpjMN23p+a1yiI2mbXYJBAbruophmQeZ7TNE1sT9dJMwsvXbrEU089xf7+Prdv344gOY0N2dvb49lnn31Mbqtjd3Z2xnQ6jdmN6/Wal19+mdu3b0eAqMeuz6uqio6sIMBWQW1a85kCMh3nFBCnDG/qAqsRJNtGQtoHBd/KKG7XIm4D+G3mVvuTZjhGltMQ4g+GL1/HICNV9nDlBoMWdduUukYxVSmDTDIFIsr0abxFk9DuGtFRexfcR/3G+hopUZihzs4Rb/Yj1YMmMmFqzNM4H9fJjREH1wB+TKg4nFgr+Y1ljrn+NHzk43DxKs0b78W6zco5Fr2jdp4bZc4np+MoQ43nFDIO95qefHeMmc7kjeWSu3/0Jm8fLJOaQzl2lbWunWPe95RGGFHdnxrRdF5MfnR9j9RWliYA9XiMxBrTIpjP6LXZyNgkLmMTRK9D/abGdOi86WmgmY1tCkoRdlnPizKwjRqfYc3ASqbxBzAwhgoSlF1SYFk2A+NonQDBLICdlHlzZqgBVCfN+F4AFm1JrEdUptAjIHJcseF2itmslVTQEl1UCYxgWD/vhdXzgWEzYfDKUNeXdyI/fequgMXbTxOdX9syxIbkAhSfvfW43FbH7mxP4jc0u3E9gZc/DbdvEo1t2nBhqhLPaiSAMuvl/aaEekx0JNX/Tsu+zCCx9VvjoHOUd2ywjUUzjLMaCQHRWEhrPXWu9Jh07GCQ5errKcOqRjt6/sT1bACJaWmDCwBBQULvBsdT7yXzL+T9RUlkngnYSW/66BdLaMM2wwWAmtjYuhNw1/sAaryQioWln+bCECpo8sSsxcgsJi6qIIBI1/e5xda9sJJyVw1vDP04w+UWn3uuXzjjs5dv85HZIaO7BaYT6amtW0zdSB3ehX0Wn7gwyFDjQRhMlmGP5nRjmIzC71tVcP57ht33mphlaDQTMkg87boL8tNMGNG6xa5qAcBtL9u1km0pB+NljJXpVYfnwPCaXoB3CiLVPMcGMyGVl9qmi8DTj4thrsIxyUml7GY/fPGBMJHhvCAY7WAtxlq5YxHz/Ablz8AkrpPHicHLNQIIDHWNCgy32S5lpvRvymYpINR6Ol1P/2ukROp2us1KKjhURhI2g+t3GIxcFIwpcDsHu8z55Cu34DeAP4Ev8u8MEtoDEFbxCPgp+FW2xggiwF68zdO8z/X6LgDv8zR/5zv/Jfy3DHLbVPIJAmDfAZgO8ltlV0+S/2mkBQXC6HXE+sZ0PJWt1ONU8xxtOwXRKn3Zjt3QuVQA3+mL+uOjjrkqPb3AEJ+REzRDWJNHoAgCIAQkSHxC71txwQy3gydmP+T9ielNaabkZhSBhi4uCEQdjt50rM3gxt/TUrNiZc5oTStSzcgfOkZ+wq47z8iPYo6iw8esxSyY6XR05OSRjVubKspOC1+yMgucEUdQG/7t+BkjRpTWc+npJTs/PCK/OePlk11a76ipqfwZdS8y3f3xM3ze/hSPx0IYjMk4bt5mv/BMZ/IjMl+P+N17E15eHIcsw54qSGkVyC7tGWf+PpkZyfv+lKU7JKegYU2N1IB2gYX1OHI7knH3LtY3CsMrc1QyHUAilqnfk7gMaiqzivLS2i+o/RxDxtiKoc22m2kRHFE7qghKgeCY20XpaZ5N5PwJktS/kBuqgjNls1KAmNb6pWChruvoLJqaz+j/7XpHBTkpAIGhri6Nf9gOl08zBZ+Uc6isWMraKZiFAZylLJ2uf3p6Gpm/pmmiQ+p6vY5AUWWsCnq36zrzPI9sojGG1WrFq6++yu3bt2nblrZtY/0jDAzjer1+DNhqnWI6/loHmI6vrp8CNAW/ykxqNqPWgKqTasoSKijWPnjvY32ojvV2raqCbh13nYMNKaoPXxxBdikyRQFzTRKfkYKFtXOcdC6uqzmMbQARhk1mKkfq59REpU/WyQM4UmmqMoXCdBFNcEx4LCY2w5IZYhvyXICrMmwD2JLtNOex857m4RksF3LnuV6zvn1Eh2fpeha91E5Wzkf5pcg8tXdD7eDaebp5JZ2cn7L+ynd59/4yMK9OAGH4jVKGcdH3rHq/IdndyQaptwIyq4AXApCVdgSkyfs2gHfNrdS4ER+Ov3aOOjCcYuAzxKFUQYYazyk3sJmezXpUG45XWWZ9Tx1SCX1UAKgsYQoQFZBExo/BPVOjJHzKWIXtrR9qEElATt4O7eEFaGTB7TPWFZoB1Gl8hkY3PCnnMAsyy8jaOZG/KnjtErCFH+SoXS5yUzVyaUo4uCTrrycDUOxyYU77bADHaV1n3glAXU2l36spvPoC3L4hr7eFHLeyhMowrqeD1FXHYlQNfXXZIM3t80ESGmNCuk2AlndDnWJvQzajIdaANsHwJ2UJ1eW1T8ZI60N1rFOAnJr8aI2izsGGAY7z8jltO/mvjFHfD4BE2SQQKeq6xS4qqadzPuYwmr4fTGqyLAa9+9ziM8k8BEJsBvhCAuONxjcwsKtaYycmOHKiiYQyMJdhcZnFZUaYSIDM4EobwGHiABru9tjWgRX2rjgzzOuS3hvOugnjQ+lbtmwxVSMAuWnxoxzThd9PO7CrJsswZYFvGvIKjPGcrsdMvj9i53YX3V5dmUU21E1ybOvIFjWmbkUCagy+yHDTIAX1IcOy9wLE2i4AbxfrDX2RC1AMQM4XmWRK5hZ6jysFVArw7bF1NzCwCjbbTiSmCSA1VZD6qTlRegPdGgGHyjLre+qQCgzM4hmbQGCNsEUwsEnIB+o+oc4urKtfxgoK05o/BWoqvSRZJ3X7TEGRgh1l2fR5Wueoy07SBgx1egoOt9s9Gf5+mx+mfTo8vwJ/uPwZWf8tGOJDjoZ+0CGgSO/Mae3gQ97nabLOUT0Hf4u/B/89g4OpSnBhYBjjPlbDsW7nKW4b+uAZ2LwLbLCK55Lx1LiRtAZUpbCRpJkDbXi+Gvar9aGpOVFccgaTH5WkEh4rqbKOzGLvG3rfRCDgXEcX6s9cYJMAOl+x8scsu4dBgtpLDiMtHRW9bzHGCjOFmOUUjMh8zshLH3pakakypWBEE8xtgCBBFXCi8RkCQSw1Iom1yViWIS6jNgE8+YyJn1D4EkMWwZmY32TR5Kam5n6d0cwzUWEsW95ZZbS+59QeUvendP2azq0Z2R3a6P6Zxbk0ZFg7pu1WnLYGY6A6zvnS/Yu8erpkbSrWZsnY78SaxZnbozY1p/4+Tb+gD3WBhZkysxfDGIhLqfMdGYVElgRpsLJ5hZ2QmSICw9JMGflJHPeJn+EDQ7uyC1ZmLjWPYU4kDmVF7aQPut/Ky40NNSeyDHe2jcnIs4kwoHZEFsBzZkcRbHr/2Im4sXwwlAzLtuupApZtKaOCwxRkps6n2yHtKQuWgkcFjgrmFICmERNaY1fXNXVdb8Q9KKBTZvJJJjvbMR/at6ZpcM5x584dHj58yMHBAW+//TYPHjzg+eef36itTCWj25Ld1HH0nXfeoW1bXnvtNd58883YL63/S/tVVVV0KE37mBrJ6DZah6jjZ62NIFTnQo+vrmv6vmc0Gj0G4mFgL3VutH011FHAmTrcbstO9fhT5lPbT4EnhLKPdE4CMLEMJ6XWJ2rgu/NDAHyl+X8MUlU9p9T5U0/ZPABHzwBKaicASkFfHwBNj7bvIjsnEs6e2jkaJyBVv/L0r/MMdX1B9mnC+7UTlu3uOyf42+/Bvffh1W9x9+6STz93Hu+H8cgDK7WKwFqOMWNgYxvv+bM3j6GpcS+9xFuvPKJ2wpjmDIYxJhzX0jnOgptpHsbBBpZXP9UeZWY9o8D+OS+1g6tQu+i81A/acL5pBuMoiRxxEIUStZftYJAHd94ztYaRlTrKwpjIKmrupg3r6fyrFFYzHhWQr3ofbzDAABrT5zF/L6y2EdSegMzU+XQ7pD1lwRQwZd3AginzVo8EQMV8x2zIFqxHAmKUnestrMcCgDQyw6aTwQBaMQP7ZgPobEp5/851eHhFQOLbH4EHV+H57w/HpsfjjIDKbclu6k76zkekL699At58LjCmQT6q7CABrFWTIa7CuqGPmd69ITB9YQ6ybpgT6wYQqnOhx1ePZWxGtQxDl4BMCOzlaJgbHaeilQgPZVu1xrHLH5ed6vFH5jMBsCnwhCf/9tG7TVZJ6xM1b9F7AZUKNF2It9iKzlDAFgFTbgMLJqDEeLBVJwCqDQ7ZvcM2LmQrdtiqH9i5IOG0dR8iM3ziHGviOoPsWfoRI0tCZuHOHcfRwS7fP7nKV+88w/SB4/j5Yjg27wWQOcjX/QCs1QxIf6u6jv23e5ou5+yN85x/syerpT7Q53ZwEDUGek+2bDDrGo23MArKMjPcXHHEqA01s1Em1zRtAOgyFxpjkq1bAYpjqf+xrYNg/gMyxmYdLkz1i8o5yZoch2zGENcBATDqjYJQxxrlrXHOAwMNsBEvEhFJ8nyFAAO9uPPhdQWYynAdEQFHyvIp07jBjjHkACqYUZDyOgPo02iNBcLC3WZg5yoEbN1n0+WU5K8C0o5NuWoetqvgtd/6LP90/2fh34D7/9k+i9+8zOV/8F7oZ+II2xFYwDZpKA2jP+P2rz/HyWyfX539F3znv/lx2UeUjyZ9075ziAC/ydDH7XrNFHzHFycIy/swvOaH7W6H9dUZdjuuQ/u0MVAtMJVtUsBJsp3cXma4kZCH/usxKIB9wAbj6RPpM8I0Od9GMALE+sTWrYQD9I7ON7RuTevWOD/EawCxri4CwQCYCj+i9BMkl1HcPlfmjBNzn8ZI/1pTS40dNQszZ2HOIjvX0XNqjlmZVYjMaLChj/q3ows1ij25z0PZkvxbsqY3Pd879rx/7xzVGxWPvuJ567Tnp6/MhhpJr46wjjNfMVxhydUUASz1ruabBy1NnfHiWzf4yoOeFTW1WVMwojVDDmJves7MI9b9Mb3vsCbH0Sf1moplXGRmy1DLKP0paNySpl/ivKP1q2BE1LM0J/S0TP0eGhmSxnWs/SkrJ6Y2mtPofEtpdxibPYnqMJPIKrZ+haPFkEneZph/YyxdnHNhoAHafoV7TKa7uXxgzWK6pIydXpSrEUpab6ggR8FCyjApeFT2SUFhVVWxpk5loSko2a6Z265v1PZ12Y5ySEGLAjxd9D2VZoIwfIeHh7z99tuUZckbb7zBarViZ2eHz372s7z44osRAPd9z/HxcZRe6nikbqB3797l9ddf57vf/S6np6csl8vohJr2abFYsFwu6bouymzzPI/rKiBTNjKNutB2RqNRBPE6Tsruaf2oMoDbrLEylTrWbdtGFlPfT0GfMqqpRFhBa8qYpmOdLimEt0Y+ygv9ATcDS6eOnJUfHoMwTBq9YSGyXSBZfrmRO0beQWHCfSVjIntYWhsMbny4Xgn9DVcmWbjq9QTgGcCVZgTGEHk/gC4YZJrGCONmkPiKR2c1H3rlLcrxmOab32NR9eQXZvzEsxf43TcPqJzBGQGXB22Lw0cTmtQ91nl4t6r51Evf4u0X3+ao7lj0LkpMfRhbhxjaHLTiQnsut1HGOQ6yXpXjZuF8SEEjYUz3QtyJAnO9R+e9J7N2kN0aGUuV1nYBbGoMR24E4CljqUCwdoMSv3GDFFnH0QWQO04YRR3xbvMU22DsFOg15fBcQYGCHAULKcOk4FHZJzVtqSZDzaPP2Yh3ULBn21Azh8gxI8jS9qOsLQDPAOQIRjC6vvVs1OUpoDFO3EHxIhk9vCggsWzgjR8SVnBnAZ/9U3jxpwYA3OdwfJ4ovdTxSN1A716H15+H735aGMvlNDihBtCnBjSLGSxn0rbKbPNO+qDHoBmSEcAnQF7zDBXE67wou1d0MjZ5hzBXDI6pOlcaw6HAU1lkfb8tB9CnjGoaqaKgVWNN0mXD4IbHf/uEadIwRxNBgQmOnEaZyIRhMp0DL+ZiPoBCgGzVCOtlpM5QQ+MxVmr5LPg8R+/seGMGFk2/n1JDHB8CfTygzqqdxzCAxHgszgfwaPCl1Aa6acb4sGf87ojb5XnytyYUy452Znn4L+9x7csVps1lDNqO8iDU4OTq2iQSVKwF55m9t+T+G3tcesUzOu7IF01gFBGQZ8WVNZ/X2LOVgLzpWFxOi0wAnvMDIMuDKikca7wjaK2Y0QRjG8xgbIP3EKSoLrc4Y8GL9NUEYxsyS4zhyCymbvE2ed9aTN0NjGzXE6XIKYi2VljGrd++zSXfeqwIBAQwKigIIIej5HFY0lq7lE18h4HtU5mpSkkV7F1K3k9ZQV1SaWQKqhbJ37Tr231K9/EM8HvwP/xb/wmXPnXIr/O34XX4ON/n0Z88Bc9cCMfXSVtf0p3tJuOhLGMH/yP853/77/L3f+tvSmbi62ya+mi95StA9QABWs8BRsZCAZ4ey7axT1wKBqtUZPsqWf9c8jcF6xtj6Rncbs+kzZTJvJ+ur6BZgWIaq3KRxw1/1ptPkzgENbqp+7PwPIugoPctmSlo/RrnWmwm52JuRnS+pmUlzKAZUSJAZ24OKZCaR28cZTB6sWTUrEK1XjBNwWG9jSBLL4wUxKhRDl4et6YdXgNS11WAznQCHr1l7KdYLDM/4fZ6zTcOzjMpWl68d5mTtuXiyPKL5z7FPzy6R2fXeO9o/Irb9i3wDhOdXy3GSGyHx/GKf5MX332O//dOxr3ujGN7yNjPgrC2j7EVh+YuZ+1dOrdmkl+gMFNKM2XCHhpn4XHkQZ4qwHWIrrCmYJydC8Y2GYZRNLZx9IyZ4IzIeK0PTrRGfFIdMm+dr7AmJzNFYDdbOlNHc5sVp1Hm2rk6yly9d5GJtiansJONcYY/n1n8QLCoF/spOEuz+5R50nW3TWZ02/Rx6s6pQDCVcWr7aRB8KqdsmuaJ9Ygpe6i1jKkbZ2rCo22nrFyabajb3rlzh8uXL3Pr1q3Y38997nMAfOUrX2G1WnFyckKWZVy/fh3vPY8ePdo4TgVqX/3qV1ksFhv1iQre9LnKXouiiOOq46PHmYK81GlWj0PnJT02laCmgFBBexqPoo91G91Ol1Tumo7xk84R3fe2eY7K94Q9AvCMrSVDQEEPTCKzNTBSqf9Dei0XjVqkWdrArrnw2DKwVwoGywBsDIbSGConuYQ9KlQYnFaVLdSaSed9JBRskLumAfQx7sKLWqpBpBddL0Ds6K0Drj39gHuv3Mfh8U3H5Z//LH+ZP+X33zrgoHW8W3eUxvCjOyMc8NqqkXuEATCWUo7Dy7/3BvOup03qEzUvUp+fhQvLaWaZZgJcM6DDR0mI0blCwGOubJ8N9+MCuCvNwFaOMyssJgIge5RxNZFhtBBkpzJuYyuAr7TDd4Ia4HRegHFnoHN6w8DEx+OE7VSHVAWlabD6tsRRQUIRfmvTC+YUJGxeRMv1pjJyXS5MldYuKsiwCeNWtmE7RErZjAJY1HpE5ERScIkZahmdHW4MazyEceDCt3Nk5RJZrfGyb2fgzg24/BBuPUus7/vc12W9r/yEAMiTcwLGrt+VY3h0eQBq1g1A7at/ScCg1maqhFXHqsuC7BV5vWiH44qOriSMrJV+bxsL6bzEOlE7SHojILTEusQ0w1KjUrwZgGoajaG1o1oDmTKH2+eI9kfHLc6H9+E8MPi+l/krC2HNAnPIqAznix/iF9IvquS3zwemTLL/hJ3yWRZqEgWkxLB5BYOjLEpNXZmRVV0Ai6EdE/aRmegC6oJJjEZkAGDNEEAfZKlOa+8U8DRggrw19zC9m3N8qWTvbR8iOOD4sx1whWt/eICZr/AHR5g8x3z0GQF+t++FD46VOsZcQNO1rzmKeYcNDKjtnEhv9d5c5zCrcHFZFsLomdDfzg1sXwDq9B7jXADZ4VvMe/mi6l2sEzXOBaMgG4yAZOxsiC4xbT+YB2meo/f4Io/1psNJ5cKXobRpEumr/HiExwnbSe/wbStusRvFaqnEccIAEq6G11MNaHoBlxRMb7N5yq6l+YXKXikgUQCnYO42m/WIqSw1BZspCISBnUsD6FOAqXWTKivt4He/92/yc5/8Ev/3l38ZKpizyxc//Mv89Xf+MTzzHPAm8Puw2AP+U+Tk+IdofZ6M0y508Pf/7t8UMKgMqBr06FAtgEojG66y4SCr5jvpGKZjlgOLNE5Cv6yT8dBx1vYSye3AEqrkuEPmeY+NZdtAqErPi5zIIKupUWSg9cbBGrwLN+Is3neiTLITrM0FqLiOIhNfA+/7yEh5nyQXJFdTwo6JO6f3jsasyBnhfEdjVmQUlEwo/MC4jdnBemH9xn7KwkouoYIXlaVmPotAcOQn9LR0RkCg7jsG0Ie2Cx8AppG6yYpVMLsRgPm90xnPznb5+qGl947GwS8/fQL8a/zm8R+yaB5wvHqLzI64uv/jeHoezV+O9XnG5GRWHFv/0dueo35OFdjR2qyZ+CkujE9rGlb9ofSaOoNoAAAgAElEQVQrm1HaHWyw3GmpycNnU7MNne/oaaP5DZZQT+oCQMyitLQMkt6eltzntIHZtFhhb30nslwnURveOwo7IbfTjWiMnjawmi2FmYrJjRuyFfWxRncoA931a7zvNs6LJy0fCBZTdip9DET2KQ2ET4FPuv72emqKUxTFhtRSl9S8RbdXAKLrKahMgY7WOKYSzLR+Lx50Uh+Z1jNqHxUIHRwcxP/OOR49esRnPvMZvvCFL7Czs8ODBw+o65rZbMZyueSll17aALrGGHZ2drh8+TJnZ2cbLF56PG3bcnx8TN/3zGazjZpCbSd9rBmJVVVtjBMQ2UCNJNGxTo972ylV502PP2Uq07Gq6zqCR2UY27aNdafpfCtwTaXDoOxUkJyalEEU5kmiMAbQpddelfOR3VK5ZRMiFsJBseod08zG+yVp/VvrB8MVAYUmSj7VlTOCofAD0XlPZoJ01QeXUGMokhpHGMAkyLWHMo42PPcBELfe8/DRmgt3D3lwtKb3cHR3zo2f2eXyL32Bv/L7X+fBnTl11bG7VzI/a/i9h2fkgQ3FS73g1SLjqbLguOtifETvPYV+Noyh9o7bdUvj4UphI4uqoNaE43MEwB1A79q5yC4O+YjCEo6tYWqJ7rVYkfea0J4CdgtDVEaYS5fUXZYBeHvgtHMRPGpt48p5SiPMsQ3ssUanOE90iE2ZXQUB6WMY2Kc0ED4Cn3xz/e311BSnaIfXbPJ9mpq3uPBeHgpkFRTmgWnshTyiywQMdhkxA9H2kHtZL4LWwMxpP2I9ow999JDXAigPLooM9eCirPvoMnzmO/CFfyEs44OrIt2cLWC5Ay/92MAS6vjtLARwnu0ltZ+Z7EOPuy3g+IK8N1sOQFH7pkAOI6Axc1A4AZepJBUGNjDvpJ3tfEV8wEIO9I6NSoB1jlKmMg/1jc6IlFXBo8pK22KoO03nW4Hr/0/au8XYlmVnWv+ca619i4hzTp68VGZVZVdlZZYvdWm7SLdtbCGsko2QbAk1GPGApUbQ9E0gS6gFT0iAkPqlASM1dAt4gQYJwUsLNX0RdnXLIGOrbexy3dydSWZW5fXkuUfs2Huvteacg4cx/jnH3nkqy2qWFIqIvdd1rhWx17f+f/yjWoerU1T/OQkVwhi0jg7Q0JKuU3WJ1kT+o5pTU7eKNZpOuYbAhAyt+VsMoO9Y3AM5rVO0iy1DWzP0Bpq23rLowMbygCAkANGgS8RANAJDtJvJpjy2hFXUXomaiKqDUVaaTrq+X3D9IGJzNyEUYH1XMH4p4fHPJsznz2JzR9CNguk8YLEVPPWbbxn8mkWz74FbFzg8v8Hy0YyQpAJW4QNmC9rpP3wMpAy5cQZZaN9E2m4V6qzG0yypsgyIu9nUeqmgxhpRKT3CYtBaxknBqwxWUxlQ25BICIj8rE46ZvU8dhFl0ZvlFYi7g4bo2LkOKet5tHCdYOdbXLAOGNqXMxr07NEsp4QDWi0v3c8kifs2L2HC1EW+zRTNNBwnonLydYp8j+oY4cg3lgcaUNFe+cgtR6DkPnBbhCX+TBhi7eDfBn7zi/8c8Lf0va//3k/jpVffwv/5mZ/Gn5H/AW/8718E3vk88OPQlhp/4Rt2rByjGwB+CvhlaNuNrfuiAMignddp0/x8U/78vvG4PPS+hSeoi7R/3gaStbwgoHK9HD/yfV2e59Kt0Cug6RJVPT0EaG3jHTvOC7Trgw8TZrSEWBsTgx6RVC2nRWb9244afJPLiBgp6Ojf1Fz2CEFTT7MkSz4f0ZnylmXGVLZYxPP6Wo8GJb5OEQCGsESUBQoKeukNDhUUZ4x63xGAHp32aAwFE9Tm2WFpBlO7B0CpCasxRIwGbwHR2lEUnFvt4Pe2M767W+Gt6wMSCt7cBvziiwf8W5+/g6e/93N4/VJwPRfcXkU8OBT8b9v/Wa2jkvQzOkRcLD+Fl+Vl3ClXmMOEGRNmjDizXomDDNiFLd6fv4VcRlwsPollOEdAxCy6b1qTudPQILOk9mHAVu5XRY+9LaeyVftnTFjEc2TRFiEAsJS1jh069GitN2hF5TkS82F1YcAynFfFcJfvoYsG2GLtQ/K1htlE7QWv9tnBlpmQ8sGujY9XFfU4P+5NB4GnVkMPRF7Z8rVrfI3fqVh5cGSNINDgjcDDLx9I4/eBvzPV1FtJmWrqbaZPmvz7tHByP/b7PT788EPcuHEDZ2dnuLq6wuFwwGuvvYbvfOc7SCnh1Vdfxac//WmM44jdblcVymEYcHZ2hhdeeAHX19c1FAdAtWh2XYfD4YDr6+saPHMKtaf7TVXxcDhUYCOgEdoWi0VdP4GP48Lz6gOEuE7OT2XTtzrxbUxEpPZXpJ2Y48jlqICefhGqikEV6/IKWs88KoUAzJLYlCq+xu8FCiwKjrruQylV3WIQDq2O/GoN4zXExkR6/V2AsRTzygcszOKxtFRTBukweOZ0yrZfIVhz+9D2YztnbN+8h1vnC1wsOlw+HoHdDtMffAff+tZdpFTwQ199Bc9+7mkcxox7c6l1eZsu4Nkh4uXVEtt8XD/JFNcuBOyKJp2yzYhPF+1MVa3XAhQ0NTio4NoSWWcDNCainncRRZqdVHti2v8HoO5Db3BdoKDIYJpNF7DpYj1HbLvhFcOdwT9TT6kcbrpY+ywWcV82zh4CT62GHoi8suVr1/gav1Ox8uA4LVCbyxeXNkolqqpkMBDEMYhItFRTA6nB/jcvJoVCBut4hdNPVMtC0do8WlwZNPPhc8CNK4W4qwsFtNdeAb7zIzrPq7+n/RhHSzClQjnMuswL76m1dGLiqDSLZpd1fddnqG1G2HYA0P0/2m8Duxx1uXlhATddUzG7rMde216UBo56wgyIkyqr1U7btfmpbHLcY9F98Yoh+yvSTsxzxeWogJ5+1bq7UgyApKpXQju92R11Y6Lzihy/xu8i1tg9V3tqGGcNvxENbgmzBq6ELPWr1slp09V68UcDwzgmsCZSFvYwdtnXmsDAwu4nTCHb8QRNCJWgSl6YM4brgvWHAePNDvN5xOJKkA8dhjdWePrbM2IS3P1KwO6TAf1YUC6vKhyF1RLh5gUOn3kK/XXWGks2sh8slKIP6HYzuqtRx2Qx6PscO7Pm1kvKlEJkQdxpImuYkwbedLFCmywXqvT2aieVodNQGzsPGiCkqa81rCZlBcEYIUtTNk15lS6o9dUphmGa9bz0HWTore9j0VYpbKNSrEyE383S11TE2X15RWk4mS+dvGZ/YICDQnufEERLJENXDu7LN4xP7nVf08j5GATzPJpCeVTbdzL5foXPowHoIwB/BPyd+78I/DSALwH4XeA9fBJ/FX8Zb/y7XwQeAX/uz/+X+Od/6u+ZI/cP0eryPgHgnwF+eVDbqa+fpPJ5DgW+P4It94k2pByrU/cvj/0tAGl+AizeAPApfZHjdgvHATncBx/+A0ELprE+ib634znXzZXcd/PeRqtPfA7twQLrONsXU1AFpaafKpxk+N6L/PQvnM/abXBZ/Z4hyBjCWhu6GyQe5DESDhBoe40Je+zwGBlz/WKaKS2lfH0Me5RQsAtXdb6V6N/BRi4wyMJaTcwI8uR/Ugx1iRKxkXOzuM6Ywh6P0ojXrjo8t1zidr/CvX3Gdlzit+48g3/wwR5jFvzpP1HwxZuC65Sxn+7Wurw+bnC2fB4/En4aD2WLfdhjxAEBHRZQ5XOQBa7iIzzGHeQyYtGdHdWBVtXQJoJdxoyt3MehPMYkOyQctNdh0ETUZXcBkaztMsKABTZYy1k9DxHR2pIsMcsegowkB02tDT0W3TkW8byqigqnS/Sx1UdOZYsYBnRxiSGukWVGloRFd4be+iyK5CN7aruzfvL0x7KhcvI1iAQqAg3hwC/rVTaf4plSwnq9PlLYPLT5sBtvm2Q4yzRNFbj89g+HQwUXX+d4Cq7easp98FZUBsHs93s8ePAATz/9NB49eoT33nsPb775Jr72ta/hgw8+qND00ksv4bXXXjtSJi8uLvDJT35SB7nvj3ow5pyxXq+x2+2q/dQnnnIcCNasW/RKIo+d8/uAG28fPYV1ngdfP+jVv9MQIu6730YIoQI9gBqoQ0WRaq+/VmodKY6vqSSqqoAKY9HAFAawHLUfgypTyeYvIkimELImT9CazdPiyFo8SLNYqhpXNJxFVAnrgga1eLVsV0q1oBJiuW+6DSAGhUpCbRFdh0gLe8lQZW5XMu4/OODZZ9d48OCA7z3c43PfeB3/4DffxD/ZTyiXO/z8r7+Oz/3Qbfz+9R6TtAb1Lyw6fN6aRA+hWV8BtZWehQ7XWYNuHqaCVQy4aTc9rNMcDMIWpvDtTElUYJQKb0xj7aEQt4poCqBtU6BgLWjBNry9O9RkW10HITEA1RLMmkSmrO4s8Raw1ilUJUWtrJrC2lRFXhtPqjnz6mCy+kIC42kIjlfZfIpq6rV5PHspcn3FGKH2SrQ009wraC1Hg8MBtW6vN8AKUIDqs64noqmfp+BKICTg9FbLx1YtOSo47tfAg9vaX/HRLa09fPMl4GtfBT54vkHTS29qcA0huE/AxRXwyXd1fX1qChug860nYLfW1w9rHCWeMuWVYN3PasetSqKzinLsfMCNt49WWIceo6AdN/9lePXvNISoz6jtS3ziKxVMoAXqUFHMTKktx/unO3L8wSk5Wy0emsI4GOCwV2GdWRRgcmFxr6pcSRu3l/OVPeVyQFrsQPj/2pJSYypAKqr4iWjTeGvPUQZTtALQ7WYFHPPui30dw2yzdga2AWFbCbbhyIKy7NFfJywfdtg/HbF8JLh4Z8Tquyu8+OvXGL53D2ciiPOLuHypw/k376KkVFNQ8dRN7D+rvQNLHxB9W8pUUM4GTVadC+L1Hhh6lM3Ktp8rVIak/SSx7BB3kyp8KemxEN6ySfgWcCNDXxXABuuw+kZTBXOzrmO2m2qrN6VSjKCQCNYs8pyGAExzCxVioI4pikjWUoPr4YOGJ9acbdzPD6CgQLnKz2/hKNWaaJSyDQAugdWNY+fqaXsMoCmDVONYu3cPx3V43Pxb7nWgKXCn7tjTfoWs5aMdk9t6HZh//QZWv/QAh394G/gbwH/15/8SvvaVXwL+4DXgr834b+79Kj7/q18H/tMdVGljCurPAr9sY3ULDsps/a/o+hV47+sy/Y32PoFuCwW9Z9CUxKq6eusppzu2/Yvjl/3Ynlp06zmiKmj73eMYuNsjVnw0vIbn21uXea3swGtDTv9HSYKw36LMSBnouxVCjGpB9SE40MCVIrOq7dbEPWFEKjuc9c9BLPQGcBbHwFo8YMCqhsDMGDWcJRQcsMWAZbWchqDa4VV8hEEWFVA7DKZA8r5CEENBJ5qkquClqaIlFCQqoxixkXM8Dld4b7fBnziPeH8HfHv3EP/o/lP4r99+G29Ovw2ZCsbv/qt49ZmI38q/gVIms56ucGP9In40/AwAYIkFRqeUzhhxU57G4/gAI3bY5g/Rd2tsumfs9I8IiFhgg4QRK5xjhXNsoUpistrFweBNVUUdy6lcaxqqKYBUCVm3WVCQkGrqLESVYK6nw1DPSUDU8cdoUJ01ZTV0mNI1JlMLp3INkayKorXuCCHWBwJaz/rxoMir8PtOHv588qVv8M73fOsFbz9kzR6XZ5sGAoWHH28J9ZZGtrtgk3tvlaQixuW8hZJAu1wua4sI3+CeP3N+D3SEuTfeeAPvvvtu7XP49a9/He+++261d7799tvY7/e4e/duPY7VaoXnn3++HhPtm1w/LaR8z4Mwx5XL+rYk3qrrg2cIyE9q4cFeiQRuX7/I1FV/vgmnHCM/LtyOtxn7ifMTWv0Dgtr+xN1TafqpKooLV5On70m1X+rDdMFoyw4Gb1x+m8UgUoGvKo+iCZpnrNULLQBmGQJyUCAcpZjTza4pAXpaTd3rvG+dRLAOGswyVbVUarsO/tuJJ0B3HiOucsZ3Hlxj9XCPgxQEBHz7/34b39qNSCLYZcEb13vsvvkhvrOb65jd7CJeWi2QTf08lGaRBQSLELErBVkE21xwKIIbnUJZDFq3mUV7KQYbhwSx5FaLyjCFlpbTJLB6Q1UHefWtmPRrkL0IWrtZimBfGvDxHEzSag77oF1/DjYuK7OZMmU1+msqNGWSqaxUiydxLTjcIj75ksqRhwGC4an9kDV7XH5aHNfheZhMPYDJbKPFoC9Y78aotwCjuQy5b1TEIKgBOICrixwUMqeFQWZq+0U7Kuf3QLfeA7sz4I2XgXc/rcphEODrP6a1jLR3vv2ipq/efbYdx+oAPP8Bqh12XFgbELtvGgz8UqfWztQ3EA4CxNSWZWsHtsrgH4sPnqGy96QWHuyVmDvdPltolL6lrnIi6PkxigVI5pTidrzN2E+cn9DqHxDUJFSfssua8ZzVXhmsfx6AGo5SSlMfJ7vRt5q9kK3ubpzU6piK1jASMEU02GW50NqWGIEChAjkZYfQ60UVDtnGlWBXajiOjzamzTJOGXnVa0/FMUMGqmWxKmd1/rldZOmsx7Cdcesfb5FXPbpDAkLAs3/YY3jjA7XmjiMu3rzGsFujvP1eHYtwdobxxacQChCtX6R0UesEAa293CUgFcTdqMe9XqpqGAJK12trEdYVChTYYoTeTga18rKv4dArMCaDstgUSVkOdZzYqkOtptkSUt0Nkqi1lAqiwnpA3Nu4DL1ub07HijL0WqcyiS623ps5Q1KCJCqInHzD9Qv7ee3eo/3yVHm8cOvhP4F1g5WjntozcHC1eoSb59EAim0evKXVW009EBIsP42WjnrLvc+f+bsHuuehNYZ/GTj82u1aK/m1//CXgD/4PdT+kn/1C3jt9R8D8NfbMeAV4F/cHPeL9Osn+DHVFQ8AfLbtO5VHKpEEPAbhHI3bjONEWgbMhLYujhNbdXA9bIVRpwQFXoM8tjV5h+/XpxVoNmNOTpEE0ACRbVaubA/9vZt60bVlw0JhIBIck6ZuWl2aoCBlvaa6qPZRiCZnjnKJGAa1PGKo9kmBJqmu4k2wCXxBRkHGRm6Y3TRih0tLUtV9yyFZ+E1XA3AA1kdqs/lzuYld3OKALZbQ/k2d9FhWORbopa9pqwCwKRvcj/fwW+Mf4fxwC9vwCDFG/J13LvD64TdRZMacd/j95T/B4w9ewr2rb9iSBavFU3gl/CQyMsYwYhe2Viup0L6WM1zFh5gx4rrcR8p7rPpbqoAiYmnK42ThPjoOCnI5zOgQNXhGRhSZMcSN/X4waFOrLgCsws06TgdsscI5OukxhYQruVvHX8+xgh5rDgesNNRG9I9hCBsUzJjLzmoy3Ydm6E2ZHAxat6ZIzyhlgsjpw6yPTn8sWCRc+C+vPgH4SNIlYY+Q48NPQggVSggRXddhuVzWXoNcp4jg+vq61t9xHQQwDy20Rfp98mDqQ1s8TM3zjMViUesefZoqeyTO84xnn30W19fXdb8IjPfv36/LPP/88/jUpz5VVUPW9bF2kmOZUsLl5WVNPuV2CbEER18H6vtNejAnJIYQsFgs6jGXUipoHw6HozAijiNrDud5Phojjus4jlVdJHByrH09Ky20VFu5T6fXBn9aRP18ZzKmTznlJf6RpEuoejWLoBf7PDAQiUFrHVeh9WtcxIDzLmBj9YI2OwSCq1ywiBHFnrYNQev1+hDUKmj3XtFAhf/aswg6tFyErgbooD4hW8aISQrOQqx1jyaaIgO4TAWxVzB7YdHj0tRABslMRfDhnOr96o+dL/C51RLbnDVlFFrbN4RQ96+IWkc/mBLGIrjZx9qPsIfBnu2j3nK15FHYmPoEUobSxKBj2AfOH7AkvNkY6jWFOo4FggUCdkWXX0UNEgrQMduXUpVR9l+E20e2UNl0oaa67orO28J72nXhFT5vC/UKo2+zcHRNOaDxCiOVyNyp8k2I6LIC0+rglC4Dz+uzVn/HdYxLg9Zg9Wqh2SJ5TdGemaPCJ62UDLoBFKbmQb8nA0/2gCzReiQa/Dx7V/fF95ucB01O5Vg9/wHwqXd1OQbGUO2LRa2fBK7LG6jJp4Rq2jrF9lkMDpO1CuFxeTAnJAbR4yCMl2ignVS9rGFEbhxZczgPTc30avG4bMooVWGgASkfAtBCS7WV+3R6bVQXytDrTX9WO2ooGYhMGTK1PB9/9iFGBcuUKkiGDAWREICUEQb9rgfYQdYLlM2iQVuBOiGuRsjCQAWADB3ifrY6xoAS9J+LBtjEelGpUhZq2mmwBFYG3QBAWfYKUWeDAmwXLVFVFcZ4dYDENcKUcHjhHMOVjYMUBegpYXn30FTJz72I3UtPod/O6CxpNExJracxtvCdOSM+vNJejWdrsB+hpsSqdM+UVAkKvZTTtc+iKX1U8kT/GctqUVNNVSFVu2m3m3QMgdqmRKioolN1MAQLtmFtY9BxHjo9J8laodj5FdZ5hqBQaucB06z1jDYmUttFkV5uoClJ/CIo8nbsJOmy1isSPnxATg/9wzuxV6wG4LNoUEVY/CYUcghIt6AA4+sY+d2H47CO0fd3ZNIq7+mfh0LU825+r8C9Y6/dg9YefpPHmvT7PQB/D2hA/BeBfwOt1QeBkNtl0MwjAI/egYLiK6iQRYg9hcN77vh5E1ETSEmUPZSMAyp40477Fo6tqPBjtYHaSnsAt4+Dg97BiTJKm+0a7RyztyInqqytv2Kd7N4lhgUkJFUWJaGUVEGRwJBPYEADTxJymRQOkQDR8JMQIpIc7Ls++u7DEuvuKZzjaUy2DwpJBQ/Ce1jhHNkGY4E1rvEQA1YoyBikh1gbjAELzGYFnYMCaUJGlIghaFsOBt3oaF5gH66xkXPMYUInvSlwgowZl+UD9HHAiC1eLj+K+9ihMP1TEkZs8b3wDnjn+dzFT+CL+Ek8DJcYrfZyxBaLsEGHHoMskULChD0ezG8i5T3Ww230canHEJZYYoOEGT0GJFMAD9jWxFn2rKTFUyFR21YsuxuaalpGZJmxDjcwyBJX4T5W5iuvbUrC2pTHJaayRQgRQ1xjCJtqh73GQwxhjVn2SKKqMAB0oUcIHbLMamvtzhHQQZAxla0mpZpS+8epVwR+QM0i0BQpD0gEE68k+VATDzmnATmnihTr7Fgrx22xDvEUkE5VSQ9TtHT6gJwnbYuThzLfp5GWVn8sr7zyCr761a9itVodWS1v376Nl156CavVCjdu3MDNmzdxeXlZFUPuA4E554xpmmqLDPYw5Ps+dIfH5EHR7zuhl/viYW0YhgrCBGuqlbvdru6frz/1MEs1kNv1Cbh+fAm3KaVaf3pqeT21MxMQ1OooFZSYXNo7Nan2GjQ1DNB/374nI784La2PX4QC4yz6JzeJ1EAYADV9NUBVNipuVBJZZ7grpbbL0PPpzkNo9Y8CVCtrQKh9GpM0SBKItQkRfPHmBj/9S1/AJmo94CT63ieGAT/01Aa3+ohPLzs8M/R4lBIOUlxADaoqmGzZB3PGWAQXXWuRQTtpa0Oi6uIkUi2yPK61JZVGO0esdSzQlhdnXcQyBEylYF/Ys1HP33Up2LNWVNr2WIMotp4izZob0PaNPRSBVrN4KKoaJ2nXARXlcnxJVUDwgEQw8UqSDzXxltTTgJxTRaqz2jnWynFb04CjlNIKqdJsjoRJQEEv9U2xY3uMUE62xd+DWVltH2ufxl6XYe9E7ZsHvPI68NXfULDzVsvb94GX3tLXb1wCNx8rBI5LHAXUEJhzr8fGFhnLsYEkj5HLsV9h8j0K7bioEAY3Hh7WhqmBMINpqN7u1m3/fP0pYbuYkpnd+FPN9emmQIPb1Lcelae1rad2ZswzZJorIFVLYQyqGnZRwaGLTVUMoYKdQmNpStSJIsXUTa037C3cRq2moZTWpqFoX0WG2Og20BTGVLSh/X62kBtbv9tW6WNLbBVLUxWoeudSSiUEdHuzehqwPf7RW3jnqwPS2qxsKQExYnzuDJevnCGen6F75jbS02dYPBrRHdJRQI220dD+imHM2iJjmoG1tsjgOIUsNa01zKouxil/pB+lrw0MtH0arIVxhiwXatudEjoDa4iuO24nxP1svRKlQbjVIOoTPdHE1RoAZGNNZZHLWM0i5qStVFgjSpDN5eQfFXslOkCqNYkXUNBgwM3s3vN2RN+TcWh/aHybSuIzaOmchCOCn7dOUmX0llXWGb6FVtvI9XOiUgZ7n7BJGON6aGn16uWvAX/xb/7nCrNIqG0lfgnAfwRoq4uf07Cb34ZClg+oIfgRHh9xXD+LZteUBpKw74/Qekpy04A9peZ4XtlGDBJxCfRDA2EP1o/Q+lAetcAAqiLpraq+5QgEev4ZogMoJN6AnuNLHEMsr5dj6CsyIZeD3vAbIOkj3Q5dXCCGobZaYI2a1qvx/jge9WQMll7KaWHtIbowYIlzTNhrPaJsq20VALKzTqrK2FWYBDRNdAx7XIaHmMNUX4+uVnGQJXrbdkHBYOpjRKx9GucwIkrEVXis74WIhBk/27+Kv/TKEjfCSi21ZUJAxGfKD+MnFi9j6G/hbPUiPhFexgfxDrbhUYXegIgOPTIS5jDigC0u07umKN7EENeIprJmmTGa1XjEDhN2OGBboZpNwJbhotYG5jJa7WgHQcGUt1jFm1iHmzhgi+vwyMC6YMQOV3IXO3mo7U0ssRSA1T3q8TFtldsNIUKQkSVhLntkA0DWMs5ljzE/NojNtU7xj2tBrZftD5pOQ0r42mkNo58faIokVSgChwcXzuehkFDnwYXzeVWSEOqtk7RaestmPViDQ1o3CYgAat2gV88WiwU2mw2+8pWv4NVXX0Xf93jhhRfw9a9/vSaSfulLX8JnPvMZAMC7776LaZqw3++xXq/ruryVc5omjOOIw+FQ4W6aJiyXy6M+iVyOx+TH1Yf6+FTYxWJRbb4cS9/zEWhAePoQgLWWnM9bUbktoIEvf/ZQ7s+JDwryDxE4FQPFIu2GmSE3rG87tQkHf5UAACAASURBVDMCqHZK1rkxJXMZ9XWqVIsq25hCaF99CDWAhlbXYFC6sHUHBLWimho2uZ+7cHxHOYRQQWYRUNtYAKq8DdbKQh+Mq2Xzouvwz37uKTzzL3wFGAa8+MLbKI+2WISATQz4yg/fxtmffBH/2t//I7z1SOsWtznjrOtQTFUMYGsQDfR5nAoe51LhbpsFNzrUekfWVAYbA0InE2KLAFeloAgMNBVAL7qI7VzqORE71x3afW+wsUUI2JcG/3XbNiN7YHYAdrYtwM6js/qypUoEsOpCS84V1HOs2C1HIUMfCSlBAwFvRfXzA8ftGghMEhTaaLPkfATdEhToutKWzw5Mgujv/Yxa25c7s5SaAtdnPSYcPweqdY7FlmdKKNDqBnNU2AS0TnCzA77y+8Crv6vLv/C+WlG7rHD7pW8Bn/muzv/upxQE9xu1sbJFRRQ7VtHWH+NKYdT3q1yOaH0SzRLLY+A48fNfgq6HdYtUEhdjs/lyLH3PR0DX2RUdmjQ0mGOtJefzVlRuC2jr488+6Ig2VZ+ESyA97UWo9WoFYhAQgAYZNeH02M6oO6aKJExNZEqmDGqzxJx0XQQUJP3e6dMntntAFvUC0G6aRfsUGoTSiiohIE7ZfkarmeNuEZiKoHRdbWMBQJW3Qdt4MCFVlh3K+Qp3/tQFHv34DPSC7ScHnIkAfY+w7HD/y0tsXywAfhjn3zsgThnddkQ5W+p+z0kBd86qbo4z4u4A7PYN7g4TZL3U9NH1YJbYUu24hM7A+4siCPOoquPQq2U3Z8hqiThOqL0tC2zcHaBHHV9BrMmpoViIEFVfoPbAlD4iHqYGfCEc1TSGbBX4IUCWaodVRTToPk2TwvXRw1Le+PM7XzutYfTzA02R3KDZVmcFmRSg/1SACij30BRCr8JRUaPd9AAFy637ne/dcz/7hFXguDbxGTRABBQOqej5th2fBfB/HfA3P/UruMAV/vqf/feAX5vt2D6BZ//X7+HP4r/DX8F/Avw1W+frthyht0ezlL4DaKroa2ghMPeh7SaCCoMrN78PofFiStrZC7R+7oB+AyTWTaKBsK/b9OCaCH8JR7WKHCuOuR+no1pEn4472Oti8wxQGL6Pdu34Gkv7HwWpaqNY+4boEk451ZrBuNB54qDWUkvJXIQNMmbMolDUhxVYYsk+fTH0GLBCxowiCXM41F6MGTNWOK/W1BwSBlkgoMMhbDHIAhGxtsbgtMSqKoYrbGobC0B7PS5g++XadtwIz+NfuvUj+FdefIxFl/HDN2/jN66LgfIZfv65m3j1qQOAP4dvjh/gEK7xWD7ARXgWM2bMoordhD0CIkbZYpfvYT8/VJBGwSFfYt09hS4M2ISn0GOo/SUjOkwGj0wtLVKwl4cQyejjBjEMyDJiHS9wlS/Rsa4UGWy/wSKfiE6DiwQY5apah7swqOpr8w1hbedmib08rA45rQ91bTzsvAdEDJ0G3YTQIYhalnM52DVjJ/hjph8Ii08KrvG1aLQgekXJK2mEE67rtLaR4OFDUQgz3m5Jlcs3u/cw5VtqAKjQ5JNWvdLFZXyIC6GU1sxxHHFxcYHlcondboerqyu89NJL+PKXv4w33ngDL7/8Mj796U9jv99XgKPd00NYjBGr1Qrb7RbjOGK73SKEgNVqVcfFK56nNlzu536/P2o14pVXbxX2VloP0b79hQ+58cv4lh4cc27Hp8qmlGrqKq8Lnm+vhnplsdaThuMHrgTHJNYzUYBNwFFgDFUu1iUybIUASEWLDdwBhTy2I2P9Y7b1ZVMBJtqubL8INslADEBtdj+KWVCh82dRm5QqXoJZGkQNISA7kJzM4ppFcKvvsVr1wHaLdP8Kz3zpk/j597f4+vUBP362wuZHP4l8qcr2KIJDoWVWDGZhTeq1BvJxKrgzZ0SgBtpwXOo1JS1RlnWMQQRblyKrQT6tFnBh45pEbcOZY+/GKInWSC5ceinfW9jx81wFez3bOZ9s3QTNQxGc2z4ATUXUACP2bGwwCjQV+EnBNb4WjRZEryh5JY1qFdcVC2pzeUIK0GoYoxg8ugAaiXptZFMWqfZx2QpWQG31QGhikEvpAEmmRhrERLOj9kkBMZv9lNbMMWpQzXLU+sWrC+ClN4Evf0N7L778OvDpdzQIh9B3WLrxsP2NGViN2mdxXAHbcz2G1aGNi+9nyDYZBe04g+h2aquR0hROwMDaxsxbafu5rbN0zb7reyTWZdz8VHBpJ+X5IPClvqWu8rrg+aYiymX8PLry2FRC2EUrBSgZkswhsxhQA1CoLPZmG+26FrZiClvwyaoEGyakRgWUkExJLEV7BcKWi7aeEuqyClYKC2Whds5uzGpBtSCXkAtENIU0FEGc1aIqIaAMETFFhTsRtY32EWFfkG6tUJZA2HcYtgFXnwUufuplnH3nQ1x/4Tlcf1LQHULdZtjP1TIbigFf16Gse3SXo7afeHypoHW2qePi6ydrm4xi6acxQoIgXB/aeNlroNum66o9VfpOl5NYU1DDXDRtdj8pnFt6qZ7TorbiIigrepdVrQ3JlMGcK5wDUHVx2T77qorYRQXkOUFSVmA8UhYJNJx8TeKVvf8JHDdmZ49B2lV9s/rBQQ9VSAC0pRKQfADNaSgLAZEqIcEKaK0eWCfo1UhvL32EBlEMkuG2HrllfwJ49lMf4i18Ft/GF/ArX/xv8T/+hX8b+Bv3gX/nafzr+Ct4Gy+2bdK26ff3HAqB34SB4u/Ycb/SxqWVurWUV7jj7AFsd2j2X7a4YDjNxpaxmlIe6zNunVsAB54fgiLs+0UbP7gxq+rjDs1yCigIfgLt2qAdNqCpj5c4Vhb5nY+HOZliVBIyVF1bdGfIloKqqqPWMypM9ugtbCUgmiX1gCJs4G5t3OSgUBMiBqww43CUiAoBRmzB9NWEGZ1dSCN2ZodNWMk5BBm7cFmb3VONVHNpQbIk1Q4DokQsZV1TUwUFo2zRhyWuMePZ8iLOeuDhuMDdccCfup3wc49+Bf+o/Dp+svsF/MmbEx7PPQSCXbjETh5hGc6rEhpCRI8lzuUWHuJ97PI9XB3eQwgRq8VtG+F41M+QbTIKUPtJhhBxne/WhNoYeggisil/XVjauM7oo/VUxLJaT0fskDBinx/q+zJXW2uWhD50KFKwjue2Tx1mHKwusiDLWC2nJQAp77HsbtQHA2zf0YUBc9kjlT1yGU2J5v8o/7/qo1M4tQj6abPZiIc1guByuazKH+2QBLDTNhWnsEj1yqdnElqoxhFUPBByHaeqIsHH1yESEqdpqvtLSDqFWK6PFkpCJNVHKncxRjx48ABf+MIX8DM/8zO4vLzEN77xDQzDgHEc8d5772G329V94bERClNKtfUGFUQeG1tV+In7RuiNMdZwH68Y+lAeP8YcZx5r3/c4HNhT5Th4xluDmcjKdfsAItY18ppZrVb1PPl2GbSkUmX1185/0N2oN/uTfY8BuGHtERZBLaQLuwkdza7q+rijA45gkeoVQdHbLm9a30WCSkFTuHiLog/0W9AL1cc+tDpE/ks+FA3DWcdYaxyZ7tkFrV2kKsl2HQRPse0Mpsx1IeDdacZP3jrHF3/xRzHfu8I//u23sVhEjGPBW/sDLpNaYBexhdTEoHWYkwg+nBIeZ92Piy7Wus9NDDWIhh8lTJI9WM1gALC1ZZOtl8myfuIYD4FJsjrvIrS+jN4O6y2sQANYVWmPbcA7C7bhPt7qY62lXISWiKuW1ILrIngwa7AQlcX/fndZb/Z9XdxybG0amLxJi+Npm4pTWKR65dMzCS1U4wgqElD7L9I+mqMqfNwOwafLzXIaRe/7p2XbX0JSNKiKuUFpn5uFkhBZQqtxjEXnf/A08IVvAz/zW2o1/caXFQzHBfDep7ROkfsSDdiCAKu9qnhsvUEFkeA3zGobrScTbd+mha4rih4DAZjg7UN5/Bj3CTX1lf0SDytd/2nwjLcGM5GVaqgPIGJdI6FvdWjnybfLoCV1Wijg+mvnF279m2DPQEkJUgQhBsTNRlWovtc0VKu3wzRDTj770HWAg8Vas0hQFGmWxrOV/uOg1VSk9V+kzz0L0BvAhqY+irOY8g8mHrQOr6yHWuMoXaypn/XnPrZ2HbNCphY6W41jp6pof+cxHn/lOdz56YDhKuLpb2bkIaCbBOffvUa8Ouh+9R2k62pgTT5bIE4Z8dEWcr3XfpPrVW0JgsWAwiAaPlQkMI+zjkGEgl5sx44u1iTTdlEFwOoOhWAeFRrjbrZEVAO7nI8trEBNZKUaWgNwRGpdI1VC2axQ6yW7ro57mJMGGR0OKJdbDbcRwa/LL6Pd7LMGbQDwGTT7IZu3s6ceg3A4MfgEtixrFgmKDlrONx8NcOGqCFNUET2I8bXTxvXvoJXx0YpJEOX8XJbtNwiKtKn6WsPf3QG/tsG//6v/Mb6BL+Pv/mf/ssLVB1BV8R20MeI+AMqE9wA8ugNVFNdQ6ZHgt/n+9YQE4R4O9DyYERY5GZDz+FiH6dNU68TaQiqBQE1kreeAHzgJmnrqHx58Gu3hgVMlcWmD8S6A78BfO333X1QboZSpfh52/Q10YaH99boVurisoTalJPjgkxj7mswZEGvNIkGRCiUAnHXPoogun2TUGj67UGJNYU3ow7KGwVB97LGEb1wvKLjGQwREnOGpWuPIdM8BS3TSV1WS7Tcm2ZmltqAPSyywRocBgyzxbvkGvrr4BfzKSxl3xgF//92CVa8p698or+GyfFBhrbf9Coi4EZ7DAVs8nL+Lw/wAMQxYDjdr6uginmMV9FwSvnoskTDiII/RY4UQIvb5YU2YpVLLJFNOOsYbDGFt9Zpat7nCObZyHwW5gl2WEcksrNHuppjIGkLELLsWQCQFU7muYwsAm/621iaioAtLxKAZHansMOYrTPMVpvQAGm6jyqLI/H3lxX8qZdEDId8//Z0AATQ7JEFiuVx+JFGTFlAPHwyc8dv1ASsEHb7vw3S8PdLP59VI7jeVMEAhbb/f18AbpqAuFgucn59ju91it9vh/fffx6NHj6qllDDq7Z2sG9xut8g5Y7/fH/U85HdCnQ/88Uoe21RwXwmwVO9Wq9WR/dOPB4+Zainh8xTEfdrtacrpOI51fg9+PB5uj0Dpk2pPg48A1JAVTgx2iVQeBQaRds5CUx+bquUBTnCjDzgYVBJN1lGhT3swKsBNTjEUt/w6otbQZbQylQlNTeQedyHUGkegKWOEUTa8p9WzA/A4F5x30RJPC2LQVNGn+w5XU0K63OPRG/dwf5wx7rUGcJe1tceU1Xq5FcEmBqwD8CBlTKW1yFjbzeLGvhPqBvf3m6BAHAFrsaHjdShSracHC5K51cdm/3Tj5dNdx6K2172Nb4GpmVFBj1BJu6xXOi9TsfmPw3QezKX1XrTzvsulwiTTWk+nJymLHgj5/unvBAigzU+QWI74SKJmPzslywAz9Q0Sfb0cYEDJ/bB1Z+v9V+wYAQUmAhGXo7WTMMd6R0C3u19b4E3fUlAXE3C+VXVwtwHef0HbaYwLtbCOS7XXZqsFLAuFwMUEbC90H/ZmdWXQDL8T6miDBY6VPPadDAZwBFiqd6vDsf2T45WboIN5oWNJxdWrup2Db1p7vYV3XLb5PfjxeLg9AqVPqj0NPtIDPv4/KEU02IVgRng4+exDEQRCYlWkBAGa/Ik52dMv+1+90IAZpAxYUmmYsyuGZpP3BMFAewBC0PAaiCBOqhZWjz3MxskaRwCIZsGcrbYuBMD6KgIGadcHYLkAZlPioga4lJsbDNuCbt9j/YFg+SChGzO66wlhP6m99qDppvEwQRYDZDWge7TTlNHttcL1UtO5sRjaPuZsPSjNJcB2FSFoP0XaO+ekwG2gGFJWaMumrgY3XqyZjNBelF0ADhY4ZLAuPRT0uC227XAlLGE/GhBG+DCdsN3X9h2i/ngFSv5vmpMLt+HU46PKoleY+L7/nQojIXGP4/V8wi0TAKz1n6qvyyPI+RpDwss2NJghSNHG6ucHGjB5GyatnVWxQ7N6nsMUvE2rGQQUGp/fAN8E3sJn8Xf/3z8N/EMoKL4Ol1xq8JT2AJ7W9b0uUGD6DhSWrZ+ib1GxRVMkAdeuwtaZOIZ7N66EeK7PTVRIOVFprUqh4AhWCaBPqvWslLmGgiDP3Zt6jHV9APAh2nmmsng8EezanghEEgoiUOx9tL6KnF+QWwP3MoM1b3MB1v0tzLJHDBH89F+GCw1QsZTUPiwxy+6o12OWZl3VWsiEHOYKMAds0dm1zdq+DkOtcQQMprDECIXCiIg5TNXq2YclrvNdLOMNTLLDTh4ihohVuIlb3Yt4MI94NK/wR5cR76VHuM47XIa72JWHWIQN9vIQc9njIJcKgfEG7pe3kMuI/XQPfbfG0GnPw4WpeIS6BTaY7Xwka1cR0OFQHhsgdkhlhz5uDBR3SGXEpn9aVb/Q6kEFBbPY+QzADo8RQ4+pGAwjm+qrqiQBNFkvyB5N6TykRwr3cVC10M739Xy3JqdKyMiSMeXrCpNZJjDk5o8zfSwsngba+HRLgoa3GHqVkPPR2kggEZEKYIQ4D6AeimjtpIp5Gsji1S5vXWVjeB/GQsUPaBZOQphXHJlcSvDkcXnI/da3voW7d+/WkJpxVKl5mqa6nE8lnecZ+/0eKSUMw1DVzFMbrq/tPAVejqcfH05+vd626tuHcPL7RNDz9aRUXEUEwzDUsBxf3+i3kXOu2/YWXyaicqrHIN4S2aAxiaCXoLY20c92JnN6OGAozhKo1scCSxgNoapamg6Kal2NBopFgL1IDcA5FKnz9rYcVcIKoyKWAKrHMItaV+n0BlDVRe2d3eAoiVpJVzFUaC02DlkEvb3+5u98D3cuR2wtGXVnT7WvcrHlmEqqALzLBQ9TMdBtSbBeOW01mfovyt9bR7vJpHU0ilo9OR2KYNM1lc8nwhaYBdd+J/DtcgO9GIAeoQIkt7+0G+dNF1rIka0r2nKTQTHBkArzrjSLLIBar3gaaOPTLQka3mLoVULOx7o6AomEBmCEOAkNUjwU0drJYJoayNLpYEkA5qiw1RUFLUJal81u29sDkdjglarfbEE4XWmKI5NLmeJaW4F0wDKrQvitLwJ3nwGuNw0oAVUyuZxPJZ0HBavU676xPYVXTrOpndWqGxzwShtPPz71b9et17fOiLZM6lAvMr9PBD1fT0olWIKucx6Og4e8fZjnkNvm+6lviaj1muLlVVR9EhEgxPaXk7MCRqefPwEALajiahelKPwFhrFYgmfYjwokIVfYJKSoJTLU8JVwmA2OAjDPbV4x4JnUpkk7QxwzZNGrrTNTHYOCphWSauuIoiplAUIXVAm0dFMMfYVWVeEESAXoe3RTwe1vC9Yfzui3k0LnXqXmcBhVqYtRU0kNVMM0Q7bXGmizXOq6h/5IOdUkVg2sobJZA58I4rSOGjTWaU4Knske57EXYrR+iqlUxbImpVo/Rr3QAtQvS4DUn2WhATmyHHR7TGAtOhaIQa+PxWDpp6UpzNME8Y6fEAAhGLL4zadbMtTG1zD6lhmcb0ZTH9lO4Q6ammWkx943BBEPTayzY3hKclbWR+59KoNUEP37B/ca1UhaU32Kak0H5WTnYRtq/d7/8j/9GeBvoSWe1ppC32vx6bb/+BAKivehTesvbUzQ7mZpgeWx+PCeo8RZQqOXCE/rAU/Wuz2ZHWL7dNu9RpUXLQzn3I4bn0BTjVm3urZlLu39K/f+A+g5vjpZPyykRO2lCBFw6Zbstyi1hpGBJu1hRSlJ1cFuXYFEULBPj9ROWmKFyxQUUopBzyw7FCkKXWGDGHrMsqvzRhma9REaslMk4YDHWIRzDPYkYpY9UlALJa2eA5Y1PIc1klTyJtliiGuFVoOqLBkJo9bvYcb/8f4abx0e42G8jxE77MpDPePlIVIZ0YUeq+4GIrRFyJSvsZ/uIZUDhv4MuYzou/WRcppE188aw4IMHxIEQbWOBulqKikAzGWHRTy3MBrttxig6kRtsUF4DgOSHDDl6wp6Cu0GkAbqWlt6jglbLLpzzGWPUuZ6nmPUNNQkExZRjylb+FHKe8zpGqVMaNP3FRTr9AOVxVO7qP9+2j7Dh5+cAqAHHW9ZpBpGxYug8iRrow/LIcz4kBu/T14N83VzBBjuM7dBm6bff1pY/X5eXV2hlFLTUr0Kyn1ZLpcVCK+urjBNelJoPfX1kqf2WVpPPXwTaH0oz2kQzamCR9WR+0445bzeKuttvKzfpO2Vx+UDiDgWfqz4UODURuzrWCswAhWaWlpnex1oqqJIq6kjaEZ7gF5BB2pbJdxFW579F1k7p9ZGfS+LVIsoewhqU/pYg2BY30j42pdSYUzsPSp49ZzYssHgcvL7D53/LFD0V2B+nBPKpWCfLRJa1HZKmIoh4GYfMRZ9/YMp4dqsojf6qJZX0XYi0Z4hqiVWcUpEMEEBr7hxW0Rta0EwpWBC++qpgjeLHKmAqxhq8BDX12zAbaxZqxkAXJeWfMoWJ1Rytc9mu0YK1P46iZbgTKXU80jLTVU9w7Fd1H8/bZ/hw0+8AulbbtA66hVJ33+RoHJkbYxAig1Sueww4SjkxsNXVcMyjlJTCTDc58623ydNcff7HwqwTG4/i1pJS7S01KhfVEF5fMuDqnr9DFzd0GMDmvW01ksKWhuP0NRSJsFyDAm6bHXh95/Ad6rgUXXkvhNOOS+TbLkNjjXrN2l75XH5VFqeMz9WfChAWOa2fR1rVT1FEDotUpWcoS0jDPpO2mcgBLVY2nLIWW/gzAqpMBHAFM+qSIagIS9dNJVLwbOmfRZK0AaGtmxZDhUyT22rcT+33wuq2lXTPbnPVmAtQ0ScEmpNYBBV19Zd3U+JAcPjEWdF0O2TtsAw2ynmVGv6ymaFMCeUVY/u4RVwsLS+zVrXP88N6DpT8STyqR7CaPWOIrW2UPpOAdP6V7L1B5U9nHz2sdUF7HOHcMp5a09EbsPGWtXNUm2vgcmnbHFCqI+hjRUfFAy9QmPXtcRUhttUhZpgQFUrue9UpgY3L9zPXg3bueWY4kk7ZQ8FKR+ywk8bW2QLHLfswHHIzVFqJ1oPwVOuOp2Pm7+FkyAXe30VjiHud6EA9haOw3eqnbZXKyfrBe/dQWtU+Fnb/wftOBjmw20wFCedrvfCxoPgxDH3LStOj5NwTcsqJ66PsM6xDq1+swewFTRIvHTL8vzxXPBBwW2bzyuQvo61wWAIPYBiKpECJKQgdiYGOFWR4ScER7bQKIGgU9DFJSKaIhlCxCFfoguDQaUqk31ogTYEJfYQFBSswg2wgb3aVkuFr508rDDGWko9er0INE2V+9xhiQ1G2bbwllDUfhrXdT97DPgwvod8yLiMj5CsnpIqaLbj3XTPYJId1vEcD+Y3MSUF8WV/EzH0SPmgoT8WNtNhQI+l1Qkq3Gn9ZK7H3cUlVmGDqWzrWANAH/VvsJyk2Gqri9ZSYwibOgZFEvq4rDZgBekVApZYhA2SqDV1X1Ql1aAaS2M1m3EI3ZHqW1AqZMfQI8uEdpfV7kY/bvpYWPSKk7eiEmBO1TcPh0CrM+QyepF+NEXVq5MePGlpZM2ebw1BcPIgwp+pWHo10//u6wC5X75dBYGOQDVNU4Uobovz03bKr/XangbEWFtUsAchj5H9JP2YesXP1xF6CMw5VwXVJ8j6sfJhObSi+tpCD7WnNl4fzEOV1Z9vf478AwNfR8rluH5OhOpoFx1v+jklU7mmEtAHwSD271lgvfd0rFiryGUAhZeEUEHTB6AUaZ/rEdbYXZotlZC4E7ZrKBU4OwOfCqEh1I8Dqo9U+kY5VhMh0urqTVE8FKltIXamCG5ztvq+Ui2yxZbh1+0+QqAg/SBlXGVd1gf/XXQRt/pY4Q3Qe0Eqm76O0EPgZADqvwM65rvcQnE47sWA8VYXqupI+ItQ2y5BvwTgrGtqbQwNTJM0lbPUc4x6biY7HwTbfSlVdazXFAR9iEeKk7eiEmBO1TcPh8BxaIuvfTtNUfXqpAdPWhrZmsO3huiTWis9yIndK9OeyjYQ7FlIdZNgSjURaEodQS71BlSzzt/PQNq0bSV7yJ0jWouLXusuYfu8O1PgYg9CHiP7Sfox9YqfryP0EJi7VsvI76dj5cNyWGvqaws91Hp7boVvY4wiDUx9GA634R8YUCnlfKxt9MpitSXHqKDoPp8AqA3V91C0MBvWK1JdDL37aOX/cMJJ/cM1Oyhg6Z4c6KD9+pjU6SAR0wwMPeI4O5BTtTCIqLgQLDSmQANyTDELWRAPyeoQLRQGqO0qMKdm8ew6SOxV3VwM6LaqiHbRUleDqpmYUwt1OVuritdFxKsdZH9AWCzqZwxEtF5xs2rwBoU/9mSEryP0EJiyQp3/DqjS6MdCurqtalMlOBLiQmjbgT3sXC5Qg3kkqKUUqPWNnC+EgNoSo4u6jaGvyqeMZt31yqIIGhD4FFSgKVxXJ+97OARasA3cazMUHNfuda7bbyPYfF7FYksOq5HzcEcorHZVHCt0vr6Rlkzfk7FaNnkTutN/SgnAQfSD7HW3Xqac1rq+B/b1+XYY93ZQqnwOx0D9WTT7pltnVTZPw2L8RMg+DR7y9lCOe7LXvVWU8OdbbgDADaAfmsKZAFUfgXa+uU6moLJW8QoKipzvjls/pxnAhYEcQdG5GiQbQEwWtLIAQ2/YKgNAtaECqHWJbNTeuRrE1o8v1/t2IGpjd8nWnkPVMpFS1b+DXEKQEUyNS5jVHisKsH1YQqTUkBjWN+7lsbaJMDWxALVdxWw1i3PZowtLLMM5DuUxluECj/GBrjcOOGBraaAJs+w01CXvsRmeRYGmi17m9zDOjzH0mwp3IgXL4SY23dMV3gDaZQ+YZFvrCFVpdQ4/GdHHJVJp3wFVBqe8BduAiI27SEGSEZv4dK0BJfxpSNDY9isUrOLNGigUJGLK13qO+s5ATwAAIABJREFUyoxSUl2nPgCYIUHPTZIRQ1yjGNjO2Wobj5RFQQjug/AJ08fCordBeivqKTh6pexURfIw4n/2SZy9+2D14S1c3oOdhyFv3fQWSA+GHhap8AGotX9UwxgeQwjl/AQevk/YY3gO4Yh2TQIaraeApqv6WsNTeyuVSe6PHy8qrdx31jkS9Gj/pCpLRdHbSk+Dhxh+49tabDabo7pN2n997eTpufTngcv59FR/rVTIdjBCSPgoOCp8sUl7oWJG1dHmc89Lm11VdPnVEVTCQA512+zjSOWOrTYm+yxjrV0RtaFGaHsOboc1lNwPXVZ/GgwYNTxG+xdeW1uLbS6Y7O77caItVSqo2gN27LL2MlzbNiezYT60m6R9abWGXTCl1pTDWdTWKbYvCxs0jvfC7KFbu7FlnSOBchJR51lQVZZ1jK0u8RgQAbbnaLbeAuB231VltQ8KyATSbMsGqItOcAylhNaF1WwWUdddEdT0rmDXhG+L4K2op+DolbJTFcnDiP/ZJ3H26Xh9p+0ZCItemQQarLLWjjAURK2rNU3V7pEntAs79fbA3tSw0YJn+lkhlGongYfvE/amRYOmeWh2TQIaraeA/uxrDY/srQalyZQ5XwPIY6UdF2h1jgQ92j+pylJR9LbS0+Ahhgz5thabnQGzrWdaHKfSntZDnp4HoM3vA5F4rdTl+aArqjoYYlAQczdlyAUyzQhd++xDdH2E+Z2qIKDgUIqqtLk0dczWp4qb3SBQwepigxzWQtIqGkJLWM362afwottB0ZRTjKh2zFqjOHTao3E3aq3kYkAYJ13nONUxiLtDbf0R1gPCOFdoCtMMjJPWIoo0m+dWb+5kmhRwF4MCKO2tYnWFvQCz7guGTi97/qNSr6/uC6D9FXnsIeh5mYoBdYfAOka2KWEIDscOqCFDYU5NFVyvdV/EoPowa6qqJZqqmmhRZ086DwN0fqrPc6qtVup1wPqkCmn8fgqOVMp6N1/vlgUasfFnrnuHY3Dyn5BAs6s+6Xc3r1fimKp6cIuxprE+DbXvVNIInn2A1h0OAO4ABwOvRGidgcPmuB4QH+q8+ITbp/tQ6ynffwAFKtp3bfIprbW1hz9etqN4135nfSKBkootU2cf4Bji12jqJNd7G621hcH36ukGiisoIOMCzV7qzynPJVVN2mov7GdCKhVHgLDfQEUfMQewF3X7H1UkIeW9wpxZSgO6CiEekvzPWRIgCUXmaocE1DYZ0NXwF1WwBnQu2IV20iSHarlkwmrGDgGdtueQGQWzKpUhA4Jqx5xlBwRYneAB1+W+9noMFziUxwiIGPNlTRvdlXumxBWk7ikc5DECtCn9lK8x52sM3RkEWa2nZYv9pBfqnHZIZY8+rhG7vrYQEWTMsocEhfEhrDGEjd1LFbOHLiHIGLPC/CJqvSOBMsuIqWgK6RCWGnhTxrqvXRjM0puqAswWGXPZV9V13T+vNaKiNtRDeVyBlKFDp+eSDwNUdVyji0ukPJmqPKHdJQL/v5VFD4Wnk6/v89DiaxupzPlkUA8cT6pz9HWMPqDFB9L4OkUfeEP1yofdAPhImM5pPSNf8/OyHYZXGHm8XD+hkKDIbVxfX1dY4rEOw1DHygfKEDhPe0pyX3wbDI4Lj9WfB9pUfW2mrwflvPzZt+AAUBVQX8tJ8Oy67sj+SoD3DwQ8mJ+eU04hhKOWGadTEu2/p+ARrWatASWgLRx8DZxP3Sxo4JncB7VCkP47JYT0VjNH5WyXdR7CESC1hnFhvRJHAyZAoSgGVdJ0v0LtD8hDJPjsC8NbMsSWpWVzZ8AnooDE2j+CIo/v7pxrzaUeq9b9LQ2oNVAGtf1HQVMWvZKo6mazj1LJ7IO3lOo+qE0VtQ2Gnz+5efXnpuzSSrrNBZsuVjUyiVTwHIL2ZARQQ3T60P5dUWlMznr6pGCbiGMoPJ0ISQQPDxVcjlZHgsspcDypztHXMdaG8KWBDVU0wkoNvClNvWK4i2+tEQQIDmpqc3m3r4Aqhgxv8TAXSzte7huhkKDI47s+a7DEYx3mNlY+UIbAydYXXo3jtj1weVuwPw+0qfrazFoP6sCcP/sWHEBTQKnccnyoYnr7KwHePxDwYH56TjkFwbGqdTJJzsA4aj0iVSSGrBT7++97taW6AJUKjyKodlO3nZCyAqKpYgDUpkmwCaqiSQzN7gg0S2WvNtZAhRDQUJgY6vpYP6ngg/YaUBM/w/VegXaO+l6Mrc6PQJiy1ueNI8JyWY8vXG61bQShOgNhuQAGHSt03VEgDdNcQ87NJguYytmdAJe0YwVUzZtmhL7TfStFl/Hz84G3KX8BaEmsfCC9n7TuUQRhzHbspnL2vQIvH7YS5nkuY2j1lDynHwm2AXBiQzueqCARPAgV3vdJhYu1jR44CBIeHIGmdq3RlCkuT0C6tO8btDRQvw23C0Cbv9ZFmnXhED5qPU1i6/6OreQ+FIporbxt657t9ztQGHwOTQ38QzRo4s4858bK10Si1VP6UBvAjm3j1kM10deK8jwwmdZDIef3LTJOlUqD15q0yn3gQ4BL6HmkykhY35xsh+t+Uu0q3LIf8z9KElLeoYsrhSZChUvL7OICEQNi7A0iHXCYrbWCI+wzqIwIoVPoonLW9ZitXi5AVbQQOnSEI+xV4ZSCPqqNlammAJDKDiF0SND1sXUErEUFgAqgo1whhIjdfE+VubJX22zokcp1taWmomE8c77GnK4x9GdVDdxO71vbiFKPdejO0Herut8tkCbWesqE0eoOdaK6WWsXbWx5rIDC9ZyvUeLS1L2EGBZH8xP6qfwBqGNDhXefH2IRzyEoGMtWFUJrf9HFBebUgoVC0BYoTFAtQWtNc0n1nIoc/VHXZT9u+qeGxVMgO7WCEiQIkR64GADj+yN6FcrDkLdintZKcl2+lYavqeTyHjx9qIsHnFN7p6+7I6guFot6PARFpqBy/6+urup6Tm2wvg+hhy7CHWsmPTxy3b62kfvHLx4Tj5HAx5AdqqD++L2F1dt3qaD6eU7Bl+vxtZa+L6NXFU+vie//7w3WTuNYAYxoD5p5KRP+FqYO7osmlp7HiIM0oFN4tP2FA6QQjmCnuGV2BoS0QEYDXAatgGoWmvpVQ13Q4ImQ6e2d7AcpUPDcQ3BGpQ0tJOYqCxbq1kARwfuTWlQXIWARUUN+aCntESq8RgGGrgH0pWuNQaBkWxK2puCYqjUX9fjhjrHY2Jx3UUswcql209N5m2qsx8Z98PPMIlWZJQAvnXrcG3xOYrWSBvYFsCeoUuscPw4WCUxeAXySskiI9MDFAJjkgM6rUB6GvBXztFaS6/LN4H1NJZf34OlDXTzgnNo7fd0dQXUxteMhKLIlB/f/6qKtx4f6cHsE3wpduSW+sq1GhcfY1s2aQo4pIZzHz9c5lvPQQnaogvrj9xZW7l/uWnsOP88p+HI9NWG2tPHyvRm9Gl2vj4/57EMRSFGYCQAQIlyEc1OxDCJD3ylgjJPCzLAASgM6Klx6nLH9QYRwAjtSQSdMc2smT0WyGBxx3wmeVUns23pz0XUSMr29kzWWpaicLwKslggpa4sNguJuX224EAEeXeox9z1CHDTkp4g7jljhFSVAll1NfA27sW2366zFh8Fi19XWIFU57CKkRAQ7pgrDoqmksrSQHVNK/fE3EA8uFTZrmisVYK4vpXo+qqNhIW1/hG1IzJo8670CpDRgtR5z338iFFDBYfEfVSeCBCGSwHUHLQDmPj5a90aVLLn1etjxtZK+zpGQ59e1cb+z5o7AFnSZBDTI9PZOwmqCQtMMbRVxpcpiBcXvQmGK8uDv2HtsLbJ36+VxEHYHtX7WtiC05+5t3/mdybI8PiqHwY0lX/fH+ylUhbQue/tkXn/OAK2v5Pheunn54IDniEoi0NTSS5uXoOzHVY/XW08/OhWITBDh/W7UaxXHUKgQOStwxQFzukaMPZZxrYmo0YfpsESnB62pTD0FFIxoSwWAqWxrM3nWCxarleTdVLTG9wxboYpJVTBjrpDp7Z2suxPRwBaRgkV/gVRG5G6uoDjOj9HFhQFSweXhbQOsJbpuWUN+eBwRDV6LRKziqtb+7fL9GtRDoOwsbKYPC9DGmU057MKAEhLEjolwXVCQyjWW3QUiBoz5sp6P4WTeEDqI6P4lGXHIj+r+sE4xlwmCZhWGAH23rvsT0ZsddUIuUx033k2hxQt+zPX0A2CRkwcv/xoBxitKHhC4jA+p4TwEGNohCZN+G9xOPnlS52HrFA75Hi2ftLn6Wkn+7BNEuR0PsNw+w1sIpLSncn1U5JiOyvRXWjm5f76JPSHvtOk9cKyuMuzGh/p4pRXAUXgNQdWPHc+TV1I5nYbcLBaLepysg+SYcr84rn4/GSjk02dPr52u6+r/Sd4PxXqxKgAtQqura0qhWHKqzqrgGGpKJu/RCDC0Q1K9O/0ToNJVp0DYChVOCZGAukgiUNtL0ObK+XoHlD5BlPB7SA2W9Dj1vWVsauChlAqNal1VRe7uXKrddIgaEEPoKyI4sz6SgO7HKoaqgE62f4DVLEZdZutqEYuoDbW3QJ3iAJjrnazWEgbck6hqynFOJ0laGnIjFVDZMiRCn+8KnDJbaAuG1ay2NNvLovvLoB8CPm/a+MCAkwcv/xoBxitKHhC4DH/3tkcCDO2QhEm/DW7Hq23AMWydwiHfo+WTNldfK8mffYIot+MBlttneAuBlPZUro+K3PVZs5t6Kyf3zzexJ+TlXu9/fZsJr65Oi+MxHeZjpRXAUXgNQdWPHc+T75vI6TTkZjG142QdJMeU+8Vx9fvJQCFuw9c48jrwNawN3CJqla0UBD4sy9kphabniwAoBpEGDJPVlJei0BgCgKAKGgNXTj77vMLIKcypqXhFauCOf6+2l8ilqoGBtZIESiaI2r6HlHVf3Gcf+Hk+DFUNDOOsy2W1wQazn8rjK8g0aY1i30MOBwPJDJkLwsrVKUaFXK0hjApqWR8dhWT1kGL2UyqqWbQdR2/Ayf8FLrwmpGz20TZ2wqAghvAcXVQREqQCKusWEaxmsRTIPOt5TMk+eEyZ9Wm21l5D5llV59zAVS+d0Aq0Kyj4W68EhQXCnA8z6U+WITDQ9pigUMI6RK/enaR6IuG49g1oCiZtsYIGl5f2ug9+uY2mYHo4Pd0WIcfZROtx3YZ+EgxmQWVbiDVaK5D/x47laRubd9GAMUHhjftpsJfgwmgIk1fu2O7gGGI/gY+E5OA22nhfuWPnMTPMhvWKflq7+Ta2j1Qn76DBco9j1Xfvfk/Q2kyeY69gehuqr2Hlk9AIJqJCCkJcAFajSDsjLYo+yTOgO4IukYIxXxlUdkfqXTy5m2LdXd2TAOSyB3sDimSDSN3eLHtExNpeIpvNlYE7CmP6MxNEVX3T7cxpX9U2bl+koO9WYPuKgzxWCC4auKP204Lr8QPkckAXV+i6Bab5Cl00YDTY5H7G0GMIG1VAoQml7GmYyogQo43TZQVwseTRGHu1kNo9MNVOLqsqJUy1VQCm7TSfOBC05jQaoHZYdhdVIZ5xXc9bCBG5TAiIiLFHKTMSWprtIT+qSahiFmMbQb0OEBDjAh83/cCAGw+Ap695xU9PXANGPy+AI7DkvHVAXGKpVypPe/75JvZUz3zQiw+G8RZW7isByCthvq2EV9hOW1ScKoNeyWT7DAa95JxxOBzq8t56u1gsKkD6Nh2EZ99bkqE6Pg2Vx+ktsR7g/D56iy5tpRx3givhmPsEoAKqB1mOmZ/8+eaYnV4Lft6UEiJ6U4gEpw3vi7R//7VxO1gfaNeAPUBHEAwIRyqhwAAvBFPTjlXD6KyanAhxtEvuDMaogDF0hrV8MMWrAKCpY2fKWR8UdlpTe1UYax2gaCIo171GOFIGCVSE4Etrm6GJoILHWcfsIFKPoYiqfWqDFeyy1ATRrdVJHqRB1cqlrDJsB7ZPbH1BkKQiSSA+lKLlF1DlL0Ghj/B2ZmPIQJ+FOzfb3FqUFGgLDKqHfqIaXEQVRW4fdn00k6/+fihyVKPoLYenVkMPBqd1at6S6lXC03CXJyWs+jo7zgcc2yV90IsPhvEWVh++QzWSSphvQeEVttMWFafK4GnvyHHZgl5ypyohl/fW28XUANK36SA8E5wBfY/bos2Ux+ktsR7g/D56iy5tpRx3givhmPsENED19YccMz/5880xO70W/Lypd59djKUH7GasaD0arZy1cTtVNBvELthrEVj0RyrhUQ1jjEeBKbqd0Kya9aIyBw7tktOsCtxpUicBFnDtL6xP4TQrILGFxMxQC1QoQ851/8RaQmGxqMrgUQ0gAWm3B+YZYbFQZfH6WsdqmtsxiADLhcJbKTWoBym3OklaT6EQWFtW0GYKVFUzEBJDaIpkLsAyApLqsQXoOav7DQCrpY7hnFwKrd08HxRQhYpisn3iuakXirSHBCkptNu1cFSvyN+PUmP4x8zXTu2NQFP0vD3RW1K9uuahifDh1UDW43mgIxw9hwZSN9BgkqA4oFk4dUSb8vmh2yaX4cTjJAj2+P/aO5vlyJXjCp8qoJszlO6EQ46QFvbC7/86fgBro8VVxJWtGQ3ZjZ9KLzJP1kGxSev+rByoiAmyCaBQVejpxoeTedLhh+PRPEsCFQHpz+i5e1/hbjgENFU8/z3WQl1FDQ6W3J+w9wccDWlUFfwRDqVcb67hCxwoCXmQbT+hr/u/yT5UZ3nT/5f4nYoiHU4VojmfVfYZIXEd9v1bhz79jIo7CIMlEKR5DYGxx0j58cVDUt1mr+/LZ8C1zGmYYpmrWBPO2Kh4XaffgUXi53JNBWyzJUpG1Mw19PzAmjULl/07pkIl7H4oQUHQ3WzJPL1tf43xPKcymCYxLPux37Bsf0ezBbV+QmsLbst/+/HtNXMFDQ1P0w8OkLaFUc8zNrslPK/2ijnCSC/1c5asmCLMFHDFb92/w8SpdSoz9sgBreULrL1mncUJ8FIhkaMIIMHVQ13pQuvvgfvmgLrvrijSyKiWI87x4YCZ76Nhrsd8RX/d2iFu+037p5RFv1D28LWCJEMQ31MI1ciGgKMgB+CQyzeGpioIKbASsjQ/Ut1aWSNRoU3zHQmeVA+1niPnQmib5xnLsiQEak1Bms8oxGkIrrqvEp5VrRtzDdVwRvdXMNNw2uv1imVZElTHsFX2o4DHXEvOV1VihW5VSNmXPgzgtdM+xms9vicabHjdf/bwyB4iWUPd8osGtGL4JN/hBUeVj2GSWlyeUApQzbIAIUtI2eDHEnqyHEQzLOj7f5n7c7YGZLkLvmY+4mahgKKfrxY38ekwRUdV7+PFLOsNAl3JpDPsNYA43VdbV/sW67B3zQ/8kiAHOCjq/lQ1u/usn+f3k5cg+Z+tHUOBYx7XWjwHEl2xfZa11rBci+u6xIUmTDY4fLLUhgO/X2Me38OAea1LrqO2MSRVwxI1PFJNZ8b91chGnVYVCjWXbwxNVRBSYCVkaX6kurVus5vSKLRpviPBk+ph1nOsfS6EtnlzmCIEak1Bms8oxGkILucAdHhWtW7MNeT4GNLK/RXMNJz2uvjYCKpj2Cr7UcBjriXnqyqxQrcqpOxLHwbw2mkf47Ue3xMHU5t87Z+jJd6AtjR4WYjI8cuv1niaf5Eb9VqPKh8/F7W4vBmwEzxrAlwaszQDShzLHMXI5ytb6+Gk6wb7/NTPYQaWu+Br5iMyBxAWiiVTH9YVtjeU68XLfAQE2rICtzts21CfPKeoXC/ID6p9B+rVczcD6MqGVPvSqKZW/xvQ1TqOb566OrjtXdWsodoGpNmnK8q+oLzcDqHAue88AdO1Q962u7rK8zHv0PyalFI81BhwhZQK8lRwKH+SXwAxrn0/vl9KcVfdg0A8hqRqPh7fN1/RoeGRQqh1/ahQrcP+BEQFVaADD1U1BVZC3eehT4Zr/gR3IOU5GNb5Iq8JeszV05BY9s/wy7/Ea8Idawr+MfqjkknA/AFHKAZ6KQyLn5/RIZFzJ+x9QYdtXWOu1Uv8+/f4+V/oIAp02GNoLNVS1kgksGreoYIzx8Bt7EvzUyFjeh3+Tpgd3hNvQlIZ5dCNa5otbmxSZgckvncNoc51gPW8Nw83VfMVAiJBM5W4egFLZ6Qxi+3Y0aGu1gumMqOhwdqGDV7zcG2v+DT/Sz8HGq6V+Y7IsE2Gs1IBdfC6RP83NFsxT59x37662oYJe7thay9obcE0+QOPqX5KiGu2YZqu4ejqQIfmTrEFEza7ZQkN5k0SQjm+qT6lOrjZPVXNVtYIZ13RbMXT9AX3fcXr9lOuIeAQXcvs/ZSrr4817O2O6/S7kCR2zzuMWokE532/5xioINdy8fGX/jAAgI/JNlcWx7upMuFXhaGO6tBH2zU3Tx1MVVlTkxoe88gsRVVL9qd/13OwHwCHfghbClmjqQxVRh6rtQlVsaPyx+L0T09Ph7zFaZqytqKGjKr7KfsiSHJsWsZC14b98vyEW6qqahrE16OBjaqCmrv5CMjVQfWRmquArtA7mhfpGmrLHM61w9qj5koiIa+HmDJUkU6cBMc0qSk9fJW1/dQ9laDG1wqPVPS8NIbluQH0fpzHIryV0GN5Pj+3G+Wo0QsNXQipNXPxPBz0uRbcYfghoHJpDS+Rs/hlqmlqU+PnJ4FEB8IeMsrSHAS+pRlaABjM0rRmDuX0GsdQVWWtS64LQ0NzLSL0dzUvG1JD9V1g6TibQI4O+cxfbGY55n7tvI95AjbzceYx0d+tOTjb8HDhWh04R3VobLpdc/PUwVSVNTWp4TGPzFJUtWR/+nc9B/sBjv2oOc2oFhKwqDLyWK1NqIodlT8Wp3+6dxiluvl078dyrOp+yr4IkhyblrHQtWG/PD/hlqqqmgbx9Whgo6qg5m4+AnJ1UH2k5iqgK/SO5kW6htoSVAlk776pWleqRI1DrWFso8pa9XBGMzd64XFUxfhBRQA5bC/Hv1M9pNLFfWuNHDz4vhneWnrR+FQem4eTitFLGrrwO70WD7XadtjthvJ0defX508ORvcNdrujXGbU5+dQ4prDczNgujhsZk3F2kNi1y3cQ13xxLajUCUEfN0Ymhu5lGXd3K3VDG4pHGBg5uGwu1wPt73qqmCJMWHv+Z1cU7PMgyy7HZVK1tJcVqRyHGGo/mYJ4I/+bFl8HYbvvnKZgYVA9l7T7ZqbRzggqPE1IWyWY0aQGE1ZZulTwZIGN5B9CXYcG8NbRwMewtGP0gfHp/UBObavcEBkcfr/QDeWobr5H3Isx/qv0jdNYRgySgWRY2IILMfPfnl+Op1SVdWalQydHQ1sqA7y/KoAUmlV0yCC9iM1l9eOsEjQfsbxutONdXzfOPD2vLN3mtQvbAEZfgfiJTfcFOYGFognhCVcRuxULXMqiKMpC2v66d+ZE8maiNyX/VQDdrg5jdUnlDJl0XiGr7qL6T8y/5EQSmMaurrWOruSt/0D8/SMbX/F0+Vf0NYNu71gby8o5YrL/AWtLT7GGOtcP2U+H01hGDK6tlfMoeZxfFZibQxY9+8ZmuvKqcMtVdVat1jLKV5fDsqef0J1VdDDWndsWNDaChrVNDSUMOyZygWW6qxf4lpnoCFVSUPz6D1b4SlbFzDnsZSKtt+iZMbwGVWuvy4M9ZGjpSqKo3o0/lOIGPfXkEnuQ3iiQqclOVRJG5uqchqKquU2NL9uHI/mXRLKFLAUiEspWT+R4KR5hCOwPqqTCCAdR1UpHZVCNbthoyspw2/Zz+VyOTiWEgqZl6mAp6qj5oQyLJfHa83H8Tpz7grZupaP3ku11oeOltzbBBSB+FgrBhaaZ56i5izq/RzBhipktShjgV4e4h43TVX2pwKpX/IeRum/Z43CIuU2EDUFgQw1ZckIABke28wVvG8Rqjqqm+zrp7Xh6+7On3MBnmsNMEa4hPqdbodeH9xiAP+Lv+wNW8Dgbee+QA2Y2+O8G+xQr5K1D2nE8xrr8rlWvPKhABgW6qVAVjM0qpoBgxoay5zQxVxVLQBWc7db5in269yvJ5XcW2tZiqQWYHvwnbjFWj1ytFRFcVSPxn8HY5Nhfw2Z5D6EJyp0WpJDlbSxqSqnoahabkPz68bxaN4loUwBS4G4GPDy3HP0mLNI2ByB9VGdRKA7jqpSOiqFanbDRldSht+yn8uKg2MpoZB5mQp4qjpqTijDcnm81nwcrzPnrpCtazk2zuehoyWf3pvB4j3tnYVyBv/883DVeGLD3+WDylpXIQvBZY6kUJaHiDBToIDF6SGfw9mmUM0Ah0L2x/DWUgD0/DqFpBiw9x1PbFgKpO9HIG5ANdjXf6C9vADNvGTI01OAcXMFrcQCmvkaUlGlgU7MrVApvQdcUVVlXcMan5Rz/+7L2oc04rkvrng+XT0PVOZjraFcr8h6mK35By8BPK4jw3gZ3opaHfjud9iQw1l4bABqKrdZ87F6zuL4ttl3PHa0pGKk0Ad0WCDIqWEMfx9VKFXumNP2il4egmoh1TOC4qO8O6pyzKPT3DrCEMGKPzkezbv8MpxXx82+/hM9R485iwRjBd/RFZTQBzgMvspxG7pSqGsDHPMv/yp/U5XxT9EncITjP6IDI/tV1VFzQr/hmJ/4o6wbm+aK6gMBKpCPrg/6fB44Wh7vpvT+3A1uSqlA6blsBDsTsASoQnXlzksxXD2XcPLyEDd7RcUs6llXILXVeskyDlmjMJRLgtGGRcJiRbUsPnbWe/TyD8dSIFQ3m20oVvFy/yvW7SuAhlJmzNOzQx1uKGVO4HN1sq/hHgY6AMLB1JXSnUpmhMqyrmEtnlKl9SpZ+3CqTwGx39FsxQW/w2v7ntditwWtbbjMzw6MLIWSsE3fkZ4Tutm95yfui4+R8JgXuuegUsndArLjaqQZjjbPY/w40PSfDkPNsZRj6CGAhxCi6pKqdxomehxsDx3VXEgN5dRjxrxIwouqiTzne/Cm5TL3CB2iAAAeFUlEQVTGsg+aCwkgQ1Tv9/sBbrk/QVPNdABkyQxCqoaWqhMs+1foIuRxmxrWcF/2uyzLIaeQ/Wu4KIFtXMPxJ+FPQ4U5BlUsNedTzW3ee9+8t40ApW1UAQFX49jFXBxSmCvI0FNtBKvVgJ1zM6DATVmowuX+CScl8yRnWFcTwXNL9BHYhwMcAfPWvJZgg9+nMEdQi8p/ijzDr5ulinat3RymwdWzbqbjnT/XiqfScwsztDRAkeNi/+lSilAFwZIYXQFk6Q/mFFZ4bcg05ikO3lOJ8NW4/93hMfd9DX1f3hvzut7NHBJRMAf0cnw0xFnj/HdxSWV+5aNGJflRG0MPgccQouqSqncaJqpNQ0c1F1JDOfWYMS+S8KJqIs/5HrxluYy5w6KavaixDkNU709HuOX+BE010wF6yQxCqoaWqhMs+1foIuRxmxrWcF/2u1x7f9q/hosmsA1rOP4k/GmoMMegiqXmfKq5zaP2HkT6xoo34V7yec0PKqpsAHoIYuS9GSFKW6iGtm3uqgkHykLgY56f7u8njf9oAS9UE/l/Vks8EMjmeMxECFu3DLF0NdWhzsRYp1wvwL6j/UPSG65zB0Jrrp5drr4+PPTpyWExIFVDSxPCzDx3sTWkA2kpqQpmeKxZB8699ZzCWtxMhykcALxsyZTKqn9Q7bkPgB66wA8qfgcuq5+7VK8LaZbz99xG8+0bZG2bGxg9LJmBhw+4YyHwNiR1VAGBrrIBHXqecTRU0aaho5oLydu9L3irmgEd6JjvqGoiz/0evBHCGGJKMKR7q+YzMkT1z+gwShfUF3TQZAgq259wDEvV0FKuC0N0X3GELkIet1EZ5FpQwbvAlU/NKWT/XAsNq2Vbh58cN9VBKqs6PqqPBNW/ybE/4TEoAsecz7G9vZtKICo1wYIqG4AMmWfeG0M8tRGs9n3J/lrbUKaaOXsKXse8yB2GHRWXNMvhOGq9HHIGW1vz5ioBc38NWAxH1rZhmp8EgDy01AvOf00YLeWa4/bwzCvm6VOAn4+VJTOoqGpoKXMAGaLbbMtz0lCmlhmX2cNjDS2dVltbM6ewYMKyfUuV1Pu/ek3HUFbNdgfQquY9ewRP7DkOrsfeFp8j/CEj5++GOK5Y7m3BVl7z2K3d8KhkBufT3tnG9rNhsXcuCpAA4CMXTDVtIYipyse/a2ipnmMEHQ0TVRDSPLsxH1KNc1RN03BT7k+4UzUOwEMnUoUnlgPheQhsBLtpmlI1HcFsDH3VnEduv4fhgIaRapgtt+na3O/3NMoZw3Y5DjW50bXU8+ha67FjKOujEFRVeT98T4mrZuYewlJVYo4j8/qojm2GhDmGrfrfLdVANlW/NhzhKjgnP24d9lxRZOmLBmBrx365P0GQ9yEoJcKrPHy0oZvGsLmCaJEzKXOHQ9zvp5owWFGyXAgh+BIqJOcEOGCtZmi75ZzYJwFriQft30JV3FsHcxoHVevryDkVAN92w1MpuJslKO6idjbrNSkvpfhtQ0CohqumotgPzevHAJslYHcMQa0P1vJRG0MVNecNOMKcmrYQxFTl4981tFTPMYKOhokqCGme3ZgPqcY5qqZpuCn3J9ypGgc8diJVeGI5EJ6HwEawm/aumo5gNoa+as4jt9+fjmvFc2hu4RgOfH/qRjlj2C7HoSY3upZ6Hl1rPXYMZX0Ugqoq74dNb/4DIMw2YD26YKJ4aCIulzTDKfMMC+jM77c9PmcffPd11U3giiGvVP/2HTDJA4zcRWyhLKpxjsIqQyijREWhEmiuGpq6hz49oU6uPCa4sgbwsqF8/gSsVPeqA1uEc9q2ocwzMF+O67NuDl46J84rFMLC0NgXN18oYeSTwMp9Yx0NhlJiDV5vPh/mkgJHUN/doKfUGspuwLK1fk3Yf6nywd6/+6jS2ra5Ejl+HpV6hNSHbQxVJGSNBjYEJIIZc/gInY9CUiHHAg4nLzjCFY9lPxqWyZBK/l37ZeilghJVSAINQ0U1xxA4OpEqCFOd+zd0eKIjqzqH/oCjUynwNvR1lj5nHKHwz8NaEVg5Z25bZfuf0Y1yPss+bGpy8wM6VGo+qKqJ23CswjrLZowhqKryftTk/rzMnufWtqOBDQIS2g21XOMh75YwdwhJtRXF6gFmtCYjnUzZN4+l+tds8zBO1CgtMeff3cGzG+cYGjZboi8PoayYYcVBcZ4+g7l5CrWX6XcRFnqT0hwOU7stuEy/x7bf8jxeLmROCJ6mKy4BqCOYaZ4g15OAtTV3bL2v/+Nr1baDGutz7utotqfKe1//jnn6hG2/5dq2yJvkOLhtqldY8zXIWomiFGsNTR6r6mtrC8xWYLiXQoQlvweSfa+f2RS8FBBVmQO6igj0fDWFuUeANMIJgDcQpOcg6DD88lGoqtZkVAdTVRH1p9YLfFTKQiFQgY01JDkvrRUJdIVRQzx1/lxbqoRck2VZDk6rHA/PQ0MbrgP7UDdYDU9lG1VbjlXDeBUQOTfNVdT3gYLr+CRVw3wfNeYjAl0NTFMT65DIXD0AYqzCEgwdgPidTkfUgv4PcPUKcR5CCUHL4CoYwy93c4Wwypw4htdQvfjwmv/Y726OOBM4vm5oQ5dV1kskBDKXkgY2L3vMyyLkUv6jf65eKqNG/69p0mP5H7vAldLvrWW+4Pdm+Lb7eJ5iLkvkBTbz7X/fvGTHy84w4JIwPMXcEX2z7XHe3QyX0p9vLs0SDAmkDW4ARJdY9pvvA+vrUMvxQQLfM6PpjTYFLwVEVeaAriICR2MVNWkZAWmEE+AtBOk5CDoMv3wUqqo1GdXBVFVE/an1Ah+VslAIVGBjDUnOS2tFAl1h1BBPnT/Xlioh12S5Hp1WOR6eh4Y2XAf2oW6wGp7KNqq2HKuG8Sogcm6aq6jvAwXXMVRYw3wfvqdqmJUAoaCJqQnNUYBQEWO/y8VByZqrYFsHJKPiNlUPTSUs8XOVTt3sm//4t3WFMfyS49DPXgLmfelhnvpBxX45/mly6KG7JxAqW0mwLFTt+P03z37cLcI26eoqYbflenX1kDDLkhgx/xxrKbDbPQHXbjfY681zGiM818cX9w63G+z7izuy3hcwuT1V0WlyWAeO68J12ve4NtbXO8CQSrGZwe6Ri7j3fot89+W6qLGOvGcehjT7mwNHaCMgUl1TQxoNo6SxCkMcv8n+6uY5yz+gh0gSBjVPkqDzo+wzmutwDD/KNnXxZL/8yfqKqnB+leMUAglkWkOSsEQFju2P8BxGgh3LUmiOIKHsL+g5mX/B0WmVa8Icx7/AnVf/Bg9RveAIj5/RQ1d1XbjWhHeO9Zv0oZDIuTFXUa8vr+EPcqw2hqa+oxChoOQjXAeKFv8IPEBXEf13z1djWOre7g5IpoB0OUBQ1mnc/f+XKn/8ViborBGayXFo2CTHsG7fIyTVVTb+Y7+pDkaOIutDAkiVjfUSa72i0MQnXnt+5guaOfhRgctVnZ8x18+eL0k305gL50ogW7ZvuSbL+g331Ut10CCI4zNrWNZvuK3/jW1/xbp/R8EUxjsu/NQ6Y91e4tr1daGbKw14eN12CeNNpdgatt1NfDInss4Jn3kN6zXuo4bPKBRYrO9H7Rcpi2OuooIft2veoLp8jtsBHAALwAFIVHkcQUbDTxW6FAa5TctzjMqaHsf9GVaqYaHM5xuP1zxCXZcx31HDdQEk3Gnjmmk+ogK4lvoopRxUQ4VxKn26hoRQKqcKwbpuGn7LuY3Ko4YGM/x0fB8oBI/vm7Fp7iEdM2l+AnSookEMVUWW32jooAUgwYdgxxlNAC5x7G6Ge5jlUDUzII+jEufjs1QfUTw/cYo+GI6pc6kSSslSG80iFJXhjiXMenBUyBykfCetI5j3eqUrhAyBJbS9ai4Vj4PPZzXDa+tKIaJuZJb6CED7VL08B8edZjnZV1dov+/ukvpUCgwe5sp15FyokrK97B3+r5WAjVQid2NtxQ6wWRAbw3V//y31JldRwY/bNW9QXT7H7cARsIAjkKjyOIKMhp8qdCkMcpuW5xiVNT2O+zOsVMNCmc83Hq95hLouY76jhusCHe60cc00H1EBXEt9FDuqhgrjalrDcxBCqZwqBOu6afgt5zYqjxoazPDT8X2gEMz+32t2+KCqXU0aw0RLgOWFCzH1bQIVtoV75qh8SSoF9t3DUqlyUbELBfAAXYSwgD+Y+U+6ecpn+/jdV3h8M2CuDoqAP71eF/85HI+IdimzXnC/gYHVvi78yXHelw6zeZyDM7bN3WX33VVbwOGMyiXPcb1EnuEElHgQTBDfXKnN+d1ufnN1DYOhbct1PKzb2r9f7Xbv1+Iyx4fvDuyhRO6R57jvDrFNYJ7zLMMc3zSFIIKJQtyokqnLJ7ePIasENeBoWHORv32T46go8jiFLoKgbtPyHKOypqY4n+XYH3AsXk8H1JfheMKq1hHk+NQAiOflOH/E29tZrtk3OOQpZFHVZLvgqBpyLgRxhrHyHIRQhsVqnUTOhSGmbJwbryPXj6G6dI99kfNqiDDnBOCN4tjbMQqnOiCJGY5DEKFvxhSlIFIplFxGAAk+DKNsrQNJd0ndemikKIo8TlXKXtLBzVgMLRU+Kmc5Fz0uYJEQN5Ur9rbk2Lf9loDVO2hZfkMNXN7kO8JBdkOHtnX/nufW42q5YG8L1vaSY+Z6ULnkvnP9jK295rg9fNXXc8fiaxjnIIRSOU0INrluoZKy7TE3Nyy6Rijvhla2yDHdsEUpEQ89NvS7s/Ez6lfA4kc39xr+qSUxFBYAHADiUa0+NX1RdY+vxzBTnkvhS2F0hBbNXxzNWjjeMRePx9GRFOjKJIFJS0loPxzjCLEKsApRCnqaj6jj5X48Bx1R2ca8TIVGNcpRsyAa+fA1z6FhrOP11nnoWvN3Dc8dj8s1+uDm3pU2RNF75F0l8wf9rsHNU9KToXQg9BM6KF6LH5ulGQQazbpRDB1GuY3QdiGUBLwwl88Na45QWgc8axE6y1y8Je6/rhXhdOp3qi971DuskZ9YykEt8zBc7495iwzPrSXAFkc4rXBllPNdIt8yFc0WCl9AIkNDn8NRle1gqhPrX2O+rLuoZUB2OOgRvrdYF5YHUfDO6x3n4LpSlVzM0tSGbrfj+yTDiWEf3txr+KeWxBiNbBQgHtXqU9MXVff4egwz5bkUvhRGR2jR/MXRrIXjHXPxeBwdSYEObgQmLSWh/XCMI8QqwCpEKehpPqKOl/vxHHREzesmQKjnoBKoZUdUTVT45Tk0jHW83joPXWv+ruG543E5to8+qFhvcd9dNaMqyM/OeG0SYllUbQTiac/m0NFqAGHAH9DVL4syFta6Wcy+d+XvynjiktDiT1ca1GHUtv3tm7oZzHounrU9PlRnh8BLjO1+97leIvd+nlE03aD5WsAivy/gN79HQsE8fK+U0s10YtxlngdFs8aTqigqTjMb/Y6ZYp8WkTyc87bBSumgzPuAfQfm2cNPuba1eKjq4Ejer1WNG6o9FVYf8+7q47K7gjk+mef4AXx0c38M/9SSGKORzTd0CGE9Pwz7a4gq9+NrHsvf/yDbtAwF0BUsVS2pdgFvzVp4fs3F0+PoSAp0ZfJLbGfpjW3oh2MkeFJ123CEaI6XoEe4o8kP50Ew1nIef8Lx2ihUq1pJ8xstO0I1kUY+fM2xcA7jbfZoVMS1/ip9sKSJNn0osL1JzTg2v5sy21DLJ9A4GBlOyecjC1CooA21+gzYzXPwPETV83IVGnuYqf8fnaPWIA1yAM/PAxzCGPJp2GHWssQDEKrZwQEBXjKiudGO5+LtDor1inV/cdAtwLq/+FzhedO1Xj3kNv9P+lpY5PeNEJuqqB2VRJrpsJQFS1TAIHmDXq/Rdj/HPD0n4AGunhZMcQ2k7EWoowynpWlPaw56HX7dWMfLg8ScRogdjIoIzb6m1efebngLhBV5Z/ZrlMX3YHEMZ1S1S7erqjbCkkKKwpOatoxKHLePoaoaUjmeR5VCVdW0bzXUURDkHHT7qH4qaGoo5iNnU4U4VTx1DKrc6RoTypnzqNvHdRvX7KNcQT3vCLN6HcayJ1rXchzLqDDr2r43En3rb2a4tcfb00UUHWIIIgQMVRhTpSyEmGN/tXTgI7wADj8VrpQxFJaQNqGDWkXBU3Wlkc/cKwq2LMHRQVGLyxPeNjPMced6+BuVzRKhmCgR8mrh4tphtOKYU0nX1eP5cFAvt0YoL3iuOJyf65NlO+IumiVECIPvNW7jmkmqT85pswDB0u+nbjGHMRcxbtMA8Kkp1yvui9+BxTGccZsfb1dVbYQlhRSFJzVtGZU4bh9DVTWkcjyPKoWqqmnfaqijIMg56PZR/VTQ1FDMR86mCnGqeOoYVLnTNSaUM+dRt4/rNq7ZR7mCet4RZvU6jGVPtK7lOJZRYda1ffeLU7+k972HOXIzvxv1M5cPFfl5WIvHwmvYYglFzQJMmpi9xHbCSfYRY0iopCrImwkWmw81s9BsJtXLAuN/LAVFnrvJvmoQM/4t1E53Ua0e8hpzSGCjGQ3LWVAVLSWfzPv492PY5moJ5eVpPp6f6yNmN/0atTdK6NgSTLlm7fjdl+6my5IPBArgZVCiLIg1HUtFLqhZPrj387yXD6QfSoSER9sVaAgZBBEqdBq2SFVM8/UwbCfwKYSoS+oIZZ/lb1TiVF3U8/D4H+RvG7qSqAYx4984HhrKaJinwqga1xAo1UF0zP3kuV7hYawK1myq7nLt9edHuYLcxjVTl1uFQsIq11zrWmr/zAlln5qTuuJ9JUg+o2zDPhRbL4OS1KLunruP+v+bggqWzijW4WlvC1hCggqgwhWBr4QrJ9ChMkNVAxQ9NHLuAIXJzWbQ1UUfx5r9EBS5Xct4mG2wInl/8TNzDMEQ1drDPMX1lWY0nlN5SaDUudJgR9XLBq9dONVPmOrz4fxofV04hnHNRjMhbdzGNTN+rgHxHeUguNut91+QkFvLJfNU+3uj303l28T+r4cPvyIMVRWzcZv+rvuMeXxsj5xRx6d7WkJCc/K4/5hHqVCjkDmqXwpEmrc3ho0+Akqdr75WSB7rLCrE6nhVkdQ5jS6w47jGsM8R0FW15TXQObJxvbRe4wj3ej3HMX30YEHn+F5rcBAog+EJgMcGKNHVrPtL9+mgyZtAvFW26FAK9FBLPafmzzE3EeZunczhq9G55hJyjBnuCQfWY9hoHyPNXxhyyvlca++P/W975G7GQ2vWPqwY8z7RFclYByqTCa6tA226zxaeD4fXQKicsmacyxwXZ4UdIS/2I/xxTIRHz120VBfd7dWAGE9758OLY/ooZxE4QsUIlPp63GfM42N75Iw6KltaQkJz8rj/mEepUKOQOapfCkSatzeGjT4CSp2vvlZIHussKsTqeFWR1DmNLrDjuMawzxHQVbUF+nk1/5DHcvuYg6qqoiq9OqaPHizoHN9t1lK9ciVQtjWD6VMtyVejwma1ei1EtjSRkXDI8fx787DQ6Mfk4axDjeZRxtMyNDejqQFTxcPED6EdhMoI9wTg++67AxrggBdjpHoIRhJFqGthqG0z5I0IQXIORW+uDrSldiMfMwfFZgmyOcZpSnDN5WBZjRiXn8+G10AqgHPtxwEw3j9o/iHQb75Chcx58j6ChkG5xvEr5/ned1+M6T2X1FhwdHBQJRB4C4hU1YC3eXxsj5xRx9s85tYBHSp1/zGPksczdJSQqeY03J9AxXF+Qwc04AhzCpR67i/ymv2/oDvAElzVUIf7E6T+gCNoPeMIrjw/QfVRCZBN9tNxamgv0FVHNq7Xs8xd4ZHn4jXX9n4+4tGJ9b19AN5NASXuqY7b+tuVdw68NwyoGr4vE3z4X0DUN91Hw1nVqdRaO+TPad7itr8moLmSh0MuIc/Vwm0UcEWPxeUbkMqZ79+dT/scka81b7PtW+ZupnGNESplvG2DYc/wUPZTy5zgms/crIMkDWfSTEgMaBJ8Y1y9/uJF5tjfG1zvWuacO0OLfVs3JFK3V7/vez8f0dN6Gtxx9Vcoi79FU0BQ4KNhi4KIHjOqigqBzBNkSOqYa6eKl4Kn5vyNCuEYuqn9KOzqvuPfNPRUQ2DHPEtVAQmOpZQ0vdGxMzR0NO4ZVVUdx3vrr3UReazWk9QyGCMQjvMYr5Uqk++1Ugreuf//WU3vd7Rm4GIWhi/leO8Qx/DjtT9Xc0Dhx+VL8+O5f0N3OGWJDqpZDPv0moD8PcYU9zCp+lmHKCpnatrD8/EeSv/Wol/+TsMXmsXwSqh6yrzOguKmN9HHFnB2ax0QD/UOc/wWpkMl1wlAfoPounJdbo2Q13Mam/V8yJbrLedDn4eG8ibsWp/3e+0DMepntcOXowAfDVsURPSYUVVUCGSeIENSx1w7VbwUPDXnb1QIx9BN7UdhV/cd/6ahpxoCO+ZZqgpIcCzWTW907AwNHY17RlVVx/He+mtdRB6r9SS1DMYIhOM8xmulyuR7bXwA8Iub/keh0yjgIZfXCzJMcfyg4q0HP2etAc0VRLMCuy9p+OJhkQ2ZXzhNDo9tB0wcgabJ8+uA7o66R1xGQONo4uIKYOuvAQfEWoa/xUPFMLZhqCoNZ6g8Yt9DPW05d3cirbD73aGrTkCNPM7V6yhi3x282FRVraWPw8b/LPLJEaY0tq4BeS1Ki1Sw9AWAVIAV8EpcC88ZVdUmwlhbi3zFj2+2fn1TsGD4I+BA9gcc8w/ZCHzA27IXarjyB9l/w9HURXMUH+X8jfmRY+gm92HReT1GFTb925jz+AUdtDhPhpuqwkon0r/ibX4lQ0NH4x7+/iJ9cBzadF25LlwDVUU3eOkLHqPXgOdTZ1Q2hd0xBHlsv9Wte3/PeshqwEtbMNVPGWZ5cNlU5U/yCTMsFW64MtVPuT9z8AAHnlpn0NWzFAKdl9bgPkBAlAk0qomLlPrwsXBNVMGbcwzuQD3n7zWcSlMJDdCiuQ/VUc8rvGLd3PSm1hlt97Fvu5ejaLYd3awll7OgQp1iY4fj65i/5z2+JuQRZFn6wg9iyGx/fxxMb+Qzqu/XQjn85XdTv8k7blQGR5gY91OYewQgwDGXkf1obp2qfQSgR0BFOBuNbtiHhoqy0dhG1UQFK3UY1ZIbOleCIiFOzzeuEefLPkbVb3Qe1bmNoAwA8zwfXF05btZFJMgqDCvojdA35pLy/FwXzRH9CBZ/ThvDHI8wYbKf32z18EUHuRFAgF5PMPsxh00vxdHSNAboEJiKYjypI1gu1usDEiJvrcOaqoiAQ55CI7czN5DOpzw3x0YjGvahzrF6PvTdsq3WFcal4QBqmuvJe9XMH4y/qdL6KcxwFvMcTOYqLubwSWWU/WY/stYHyDdDM6+5SFnY1dZeG5LH/1/hEf9sG5XBESbG/RTmHgEIcMxlZD+aW6dqHwHoEVARzkajG/ahoaJsNLZRNVHBSh1GteSGzpWgSIjT841rxPmyj1H1G51HdW4jKAMO0erqynGzLiJBVmFYQW+EvjGXlOfnumiO6Ifq4c9pb1QjlZLlBmsHCtaEMC/NEIszmqCsmxjjoANkqV7QvpQj1LHGX5VPvAhNZb1CV+siRJSKY6iKBzCa54RGi/nZvnvOZYSUqvFLhti2Bosb3w6KEW2zrjjk7w3z9fMFtK7bcTzTlIpgfoAwZ9QM2O1gSlOuV5/ntnms/TSluppAN8++D9dFv7eaw59eX+aS8pMqk7T33R1pLfr9Tb77RmVQYWJ7sN8Ic48cNFlPkE0dUH/CMbySheEfARUNW0ajm5/kvKoiAt3YRtVEBSs6n/LcCkxsX2RfoOcHjqYvbDwfx6vjUedRNY/R0F41pfnX2F+dWRnCS2WVDq5jribkNduYS8rzA752DIHd8BZWf2EbSyIcHngoBIZSlxDGu6MjgADAbkuqYn5sVwy35mZSCnWs8edhpQDDMwlndCelcra1W56XSloGEdRrh8aG3F4CrEqZD8YvLBsCtJ5+FKBIBZHF7hk6+2a+O9XM5jmXB1CbUSFQij43ROjoJqY0U/0EL/GxYLclchpdjd3aKzyv8howfMkQVF6r452VX9+QBBBLm2HErnSqwdEv/4wqv9XN/dnOdrazne1sZzvb2c52trOd7f9P+62iuM52trOd7WxnO9vZzna2s53tbP+P2gmLZzvb2c52trOd7WxnO9vZzna2N+2ExbOd7WxnO9vZzna2s53tbGc725t2wuLZzna2s53tbGc729nOdrazne1NO2HxbGc729nOdrazne1sZzvb2c72pp2weLazne1sZzvb2c52trOd7Wxne9P+F5NRzOL7e0MkAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "imglum = img.convert('L') #extract just the brightness information from the image\n", + "fig, ax = plt.subplots(1,6, figsize=(16,4))\n", + "# get your colormaps and replace the names in the cmap variable\n", + "ax[0].imshow(imglum, cmap='?')\n", + "ax[1].imshow(imglum, cmap='?')\n", + "ax[2].imshow(imglum, cmap='?')\n", + "ax[3].imshow(imglum, cmap='?')\n", + "ax[4].imshow(imglum, cmap='?')\n", + "ax[5].imshow(imglum, cmap='?')\n", + "for i in range(6): ax[i].axis('off')\n", + "plt.subplots_adjust(wspace=0.0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Some of these are not like the others...... In particular, 'cool' and 'jet' make him look a little less dapper.... This is largely because 'jet' and 'cool' don't just go from dark to light, but wiggle around a bit as well. This can potentially lead to misleading images, but the python default 'viridis', doesn't have this problem so you should be okay. Here are a few other discussions on colormaps and picking the right colormap for your data: [1](https://betterfigures.org/2015/06/23/picking-a-colour-scale-for-scientific-graphics/) [2](http://figuredesign.blogspot.com/2012/04/meeting-recap-colors-in-figures.html) [3](http://bids.github.io/colormap/). Another python package that includes good colormaps is [cmocean](https://matplotlib.org/cmocean/), which is developed by an oceanographer, but used all over the place. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In addition to 'plt.imshow', there are a few other ways to plot image-like data. Some examples are given [here](https://matplotlib.org/stable/gallery/images_contours_and_fields/pcolor_demo.html), but we'll cover 'pcolor' and 'pcolormesh.'\n", + "\n", + "First, we'll make some arrays for x and y coordinates, then some data (let's call it temperature again)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "X = np.linspace(0,10,200)\n", + "Y = np.linspace(0,20,200)\n", + "Xgrid, Ygrid = np.meshgrid(X,Y)\n", + "temperatures = 300+20*(np.cos(Xgrid)*np.cos(Ygrid))**3*np.exp(-0.01*(Xgrid-3)**2*(Ygrid-7)**2)\n", + "plt.pcolor(X, Y, temperatures)\n", + "plt.show()\n", + "plt.pcolormesh(Xgrid, Ygrid, temperatures)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Great! The main difference between 'pcolor' and 'pcolormesh' is that pcolor takes 1D arrays of X and Y positions individually, and only works for Cartesian grids, while pcolormesh takes 2D arrays of X and Y coordinates. For Cartesian data they work in essentially the same way, although pcolormesh is typically a lot faster, especially for large images. However, pcolormesh also works for non-cartesian data:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "r = np.linspace(0.5, 3.0, 200)\n", + "theta = np.linspace(0.0, 2.0*np.pi, 200)\n", + "Rgrid, Tgrid = np.meshgrid(r, theta)\n", + "X = Rgrid*np.sin(Tgrid)\n", + "Y = Rgrid*np.cos(Tgrid)\n", + "temperatures = (1+np.cos(X*10)*np.cos(Y*10)**5)*np.exp(-5*(Rgrid-1.75)**2)\n", + "plt.pcolormesh(X, Y, temperatures, cmap='plasma_r')\n", + "plt.gca().axis('equal') #without this, the circle looks like an oval!" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "dvrF_-9U_gU-" + }, + "source": [ + "# Image Arithmatic \n", + "\n", + "Now that we have covered the fundamentals, we can start diving into image manipulations, starting with slices and arithmatic. \n", + "\n", + "There are many tools we can use to learn about image processing. Today, we will be using Scikit-Image, a free to use and easy to learn python library, and we'll start by looking at an image of an insect." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 275 + }, + "colab_type": "code", + "id": "2YlskVeHGWH8", + "outputId": "d60ed991-f396-4278-90ff-e206d19e03e4" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# first we import the input/output module from skimage called \"io\". io lets us \n", + "# read files on the computer or online\n", + "from skimage import io\n", + "insect = io.imread('https://matplotlib.org/3.1.1/_images/stinkbug.png')\n", + "\n", + "#we can take a look at the image we just imported once again using image show.\n", + "plt.imshow(insect, cmap=cm.gray, vmin=0, vmax=256)\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "jVPGCZUKk_UY" + }, + "source": [ + "Remember that, since we are working with images, the information is stored inside of a matrix. Lets take a look at that matrix." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 146 + }, + "colab_type": "code", + "id": "yuhK6yfZlHEh", + "outputId": "63efcd2e-aaae-41b6-9af6-3ab25384d790" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[104 104 104 ... 109 109 109]\n", + " [105 105 105 ... 109 109 109]\n", + " [107 106 106 ... 110 110 110]\n", + " ...\n", + " [112 111 110 ... 116 115 115]\n", + " [113 113 112 ... 115 114 114]\n", + " [113 115 115 ... 114 114 113]]\n" + ] + } + ], + "source": [ + "# show the array\n", + "print(???)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "MehoDaNZJtU2" + }, + "source": [ + "The first thing we notice is that this image is no longer just 1's and 0's. The numbers go from 0 to 256, and recalling that 0 = absence of light, we take 0=black and 256=white. All of the numbers between 0 and 255 are various shades of gray. \n", + "\n", + "Next, we can see that there are ellipses inside of the matrix. This is python's way of telling us that there are *so* many positions and values that writing them all out would take a huge amount of space on the screen, and a list that big is hard to read.\n", + "\n", + "In the checker board example we had an image that had 3 rows and 3 columns. We can check the shape of any matrix by adding \".shape\" after its name. Let's see the shape of the insect image" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "colab_type": "code", + "id": "gFQ-SSkZlHRQ", + "outputId": "cea4b297-2f8b-4bc2-9374-31bde51308e4" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(375, 500)\n" + ] + } + ], + "source": [ + "# show the shape of the array\n", + "print(???.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "WhbX-mHqQe1e" + }, + "source": [ + "It looks like this matrix has 375 rows and 500 columns, so we expect it to be wider than it is tall. We can take a look at the value of a specific pixel by calling its location like this:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "colab_type": "code", + "id": "7rWPLx4alHVB", + "outputId": "fc968367-acb2-4b4c-e9ce-e19c78f55332" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "157\n" + ] + } + ], + "source": [ + "# show the value of the pixel in the 100th row and 200th column\n", + "print(???[100,200])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "0OtfQVS8Re66" + }, + "source": [ + "**Cropping**\n", + "\n", + "Cropping an image is very simple. Basically, we have a really big matrix, but want to get rid of the rows and columns that we are not interestesd in. We can do this by slicing the matrix usng brackets [ ] as show below:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "colab_type": "code", + "id": "57CNoD4olaw2", + "outputId": "55f018c0-02c2-4e5a-da56-edfce3aca1c9" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# display only the section of the image between columns 150 - 350 and rows 200 - 400\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "31HKaTvrSXCt" + }, + "source": [ + "In this case we cropped to the left most antenna." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "DVIxmrT7Srlp" + }, + "source": [ + "# Exercise 3: Cropping\n", + "\n", + "By altering the slice locations of the image matrix, can you crop the photo to focus in on the insect's face?" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "colab_type": "code", + "id": "yUprkOa3TL2w", + "outputId": "21b8801e-c529-45d0-e78d-3ebb8d490a3e" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(????, cmap=cm.gray, vmin=0, vmax=256)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "YTJS9bm1Sm2c" + }, + "source": [ + "# Image Arithmatic (continued)\n", + "\n", + "since we are still working with a matrix, we are free to do normal math operations on it. For example, we can divide all of the values in the image by 2. This should darken the image, lets try it:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 275 + }, + "colab_type": "code", + "id": "8TbtybLyWgYe", + "outputId": "9680cb61-0c2b-4815-d0d5-cb8a66e8ad2e" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#divide the image by two and display it\n", + "plt.imshow(???, cmap=cm.gray)#, vmax=255, vmin=0)\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "3_Jj8D6-YH9Z" + }, + "source": [ + "To brighten the image, we can instead multiply the matrix by 1.5:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 275 + }, + "colab_type": "code", + "id": "e0Bid59NYMkq", + "outputId": "902267be-0be9-4abe-e715-b1d062adbc50" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#multiply the image by 1.5 and display it\n", + "plt.imshow(???, cmap=cm.gray, vmax=255, vmin=0)\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "qBBACkwQZzRt" + }, + "source": [ + "We can also add and subtract images from one another. For example, we can subtract an image from its self:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 388 + }, + "colab_type": "code", + "id": "EXqJWh44j3IU", + "outputId": "45504d3a-db4a-4633-f037-02739b234f81" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[0 0 0 ... 0 0 0]\n", + " [0 0 0 ... 0 0 0]\n", + " [0 0 0 ... 0 0 0]\n", + " ...\n", + " [0 0 0 ... 0 0 0]\n", + " [0 0 0 ... 0 0 0]\n", + " [0 0 0 ... 0 0 0]]\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# subtract the image to itself and display\n", + "plt.imshow(???, cmap=cm.gray, vmax=256, vmin=0)\n", + "# check that the array in full of zeros\n", + "print(????)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "6hIGmqJ-bQW5" + }, + "source": [ + "We can also directly modify the values of the matrix elements ourselves. For example, if we want to set a portion of the image to solid black, we can do so by setting all of the pixels in that region to zero, like this:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "colab_type": "code", + "id": "31Qh1f-onkY5", + "outputId": "0d8ebf16-24ee-4c36-a6d2-d09a8d9f7fc5" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# set the region x=[50,100] and y=[50,100] to zero and display\n", + "img = np.copy(insect)\n", + "img[????] = 0\n", + "plt.imshow(img, cmap=cm.gray, vmax=256, vmin=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "mpNEMFGDcEaq" + }, + "source": [ + "# Exercise 4: Censorship\n", + "\n", + "By altering the code below, censor the insects face with a white block. Remember that white = 255" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "colab_type": "code", + "id": "bMf_tmo5cUnH", + "outputId": "0738c30e-ab03-40b2-ec25-6d8c791a9c66" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "img = np.copy(insect)\n", + "img[???] = ???\n", + "plt.imshow(img, cmap=cm.gray, vmax=256, vmin=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "O-zgDHzJclpp" + }, + "source": [ + "# Challenge Problem : Gradients" + ] + }, + { + "cell_type": "code", + "execution_count": 1, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 287 + }, + "colab_type": "code", + "id": "OuVno2DQn9lv", + "outputId": "69d73e09-d3c8-4ab9-8f8e-f506a2b9a468" + }, + "outputs": [], + "source": [ + "# challenge problem: make a fading image from top to bottom (hint: multiply the image by a gradient you can create)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "mT5WMv1s9juc" + }, + "source": [ + "\n", + "\n", + "> # **Advanced Image Processing**\n", + "\n", + "\n", + "\n", + "# Blob Detection\n", + "## What are blobs and why do we care?\n", + "In essence, \"blob detection\" is the process of searching for and identifying bright spots on a dark background, or dark spots on a light background. The \"blobs\" can correspond to any number of physical phenomena. In astronomy, for example, this can be relevant if you have an image of a part of the sky and want to identify something like galaxies. You might be wondering though, why not just look at an image yourself and pick out blobs \"by eye\"? In our example of identifying galaxies in an astronomical image, a systematic way of doing this may be beneficial for several reasons: \n", + "- you may have faint objects in your image the are difficult to distinguish from the background\n", + "- you may have a crowded field where bright points are close enough together that they are difficult to disentangle\n", + "- you may have a large dataset where it would just take you a long time to go through everything by hand\n", + "- you may want to define where a blob \"ends\" in a systematic way so that your blob definition is consistent across all objects you identify\n", + "\n", + "These are just some of the reasons why a systematic approach to identifying blobs in images could be beneficial. Checking the output of your algorithm by eye, however, is wise to make sure that it is not outputting nonsense.\n", + "\n", + "Let's get started with first reading in our first astronomical image; a nearby group of galaxies! Astronomical images are stored as \"fits\" files, this is essentially a table that contains the information of how bright the sky is at each pixel in your image, and a \"header\", which contains information about how pixels translate into coordinates on the sky, what instrument was used, and the units of the image for example. We will read the fits file into a numpy array using the package called astropy (see http://docs.astropy.org/en/stable/index.html for documentation). This package streamlines the process of working with astronomical images in Python. " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "0Xk_OPfKfhqs" + }, + "source": [ + "First we will import a few packages that we are going to use throughout this section: skimage will allow us to run the blob detection algorithms, matplotlib will allow us to plot our data, astropy will allow us to read \"fits\" files, and numpy will let us do cool things with arrays." + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "U9NHDd2U9qb3" + }, + "outputs": [], + "source": [ + "from skimage.feature import blob_dog, blob_log, blob_doh\n", + "import matplotlib.pyplot as plt\n", + "from astropy.io import fits\n", + "import numpy as np\n", + "from astropy.utils.data import download_file\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "LaYMqdb7f62x" + }, + "source": [ + "This line reads the fits file --> data table and header." + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 325 + }, + "colab_type": "code", + "id": "Lw7fzmD6f3fA", + "outputId": "ea4e023f-1a50-4eec-c1f6-e9fef75cca69" + }, + "outputs": [], + "source": [ + "url = 'https://github.com/tahumada/tahumada.github.io/blob/master/PAARC/RSCG1.fits?raw=true'\n", + "filename = download_file(url, cache=True)\n", + "hdu = fits.open(filename)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "veYtEdqigH_7" + }, + "source": [ + "# Exercise 5: hdu\n", + "\n", + "1. What is the type of hdu? \n", + "2. What happens when you print hdu?" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 209 + }, + "colab_type": "code", + "id": "QxbDR5sPgXSR", + "outputId": "e11ea2b6-7476-4ffa-dba6-2d76814c4787" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "[]\n" + ] + } + ], + "source": [ + "#Insert your code here:\n", + "\n", + "print(???)\n", + "print(???)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "K4vo4LxTgk5S" + }, + "source": [ + "This line reads the data associated with the header into a numpy array. A fits file can have more than one header, and since Python indices start at 0, we tell Python to read the data associated with the first (and only) header associated with this fits file. " + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "iE6CXDl1gIUu" + }, + "outputs": [], + "source": [ + "image = hdu[0].data\n", + "# This line closes the fits file because we don't need it anymore; we've already read the data into an array.\n", + "hdu.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "28HzHjCyg7K6" + }, + "source": [ + "# Exercise 6: Astronomical Images\n", + "1. What is the type of the image? \n", + "2. What happens when you print image? \n", + "3. What are the dimensions of image? \n", + "4. What are the minimum and maximum values?" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "bDlhy8xphROn" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "[[3001 3001 3253 ... 3137 3137 3137]\n", + " [3102 3102 3607 ... 2935 2935 2935]\n", + " [3506 3506 3607 ... 2935 2935 3339]\n", + " ...\n", + " [3251 3251 3352 ... 3681 3681 3278]\n", + " [3453 3049 3352 ... 3278 3681 3681]\n", + " [3453 3049 3352 ... 3278 3681 3681]]\n", + "(177, 177)\n", + "15503\n", + "2573\n" + ] + } + ], + "source": [ + "#Insert your code here:\n", + "\n", + "print(type(image)) # this prints the type, how would you show the answers to 2-4?\n", + "print(???)\n", + "print(???)\n", + "print(???)\n", + "print(???)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "oq6BC26p93gd" + }, + "source": [ + "That's it, you've now read your astronomical image into Python and can work with the data and analyze it! Let's visualize the data now to get an idea of what it is we are actually dealing with." + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 215 + }, + "colab_type": "code", + "id": "ImahX30f94Md", + "outputId": "4994206c-3ba0-48b9-8efb-d843b173dd27" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# imshow will map the 2D array (our data), and origin='lower' tells imshow to plot (0,0) in the bottom left corner. \n", + "plt.imshow(image,origin='lower')\n", + "plt.colorbar()\n", + "plt.show()\n", + "\n", + "\n", + "# EXERCISE: What happens if you remove origin='lower'? How does the mapping of the image change?" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "_eqZ6pcH-DDC" + }, + "source": [ + "We can now run some blob finding algorithms on this data set and see what we find and if it makes sense! For this, we will use the scikit-image package which is an image processing pacakge in Python. This package has three algorithms for detecting blobs (all discussed here: https://en.wikipedia.org/wiki/Blob_detection):\n", + "- Laplacian of Gaussian\n", + "- Difference of Gaussian\n", + "- Determinant of Hessian\n", + "\n", + "This is great, but what does this actually mean? How do they work? What's the difference between them?\n", + "\n", + "### Laplacian of Gaussian\n", + "This algorithm starts by smoothing (blurring) the entire image with a two-dimensional Gaussian function: \n", + "\n", + "$$\\begin{align} g(x,y,\\sigma) = \\frac{1}{2\\pi\\sigma^2} e^\\left(-\\frac{x^2+y^2}{2\\sigma^2}\\right) \\end{align}$$ \n", + "\n", + "where $(x,y)$ correspond to pixel coordinates on your image, and $\\sigma$ represents the \"size\" or \"width\" of the Gaussian function. The algorithm then performs a mathematical computation called taking the \"Laplacian\", however we will not go into the details of that. What this effectively gives you is strong responses for blobs of size $\\sqrt{2}\\sigma$. This means that the algorithm is most sensitive to detecting blobs that have a similar size to that of the Gaussian function that you smooth your image with in the first place. In order to detect blobs of varying size, you need to use an approach that allows you to smooth your image with Gaussians of varying sizes to try to match the scale of potential blobs. This approach is the most accurate but also the slowest approach, especially for the largest blobs, because it needs to smooth the image with a larger Gaussian.\n", + "\n", + "The scikit-image function \"blob_log\" (https://scikit-image.org/docs/dev/api/skimage.feature.html#skimage.feature.blob_log) has this capability. To run it, we simply need to call the function and provide it with the correct input parameters. In the following piece of code, this is what we are going to provide the function with:\n", + "- **image** to run the blob detection on\n", + "- **min_sigma**: the minimum size for the Gaussian that will be used to smooth the image; this corresponds to the smallest blobs we expect in the image\n", + "- **max_sigma**: the maximum size for the Gaussian that will be used to smooth the image; this corresponds to the largest blobs we expect in the image\n", + "- **num_sigma**: the number of sizes to consider between the minimum and maximum\n", + "- **threshold**: relates to how faint of a blob you can detect; a smaller threshold will detect fainter blobs\n", + "\n", + "The call to this function will output a list of x and y coordinates corresponding to the center of each blob, as well as the \"size\" of the Gaussian that it used to find that blob. Let's try it out!" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 90 + }, + "colab_type": "code", + "id": "0hcWTUqu-ELT", + "outputId": "58f5c3d6-17ac-4893-994a-2e819ff695d1" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "((30, 3),\n", + " array([[176., 11., 2.],\n", + " [174., 30., 2.],\n", + " [156., 78., 2.],\n", + " [150., 110., 2.],\n", + " [128., 55., 2.],\n", + " [126., 92., 2.],\n", + " [126., 1., 2.],\n", + " [119., 99., 2.],\n", + " [111., 13., 2.],\n", + " [107., 108., 8.],\n", + " [106., 40., 2.],\n", + " [101., 92., 2.],\n", + " [ 95., 111., 2.],\n", + " [ 95., 25., 3.],\n", + " [ 92., 58., 2.],\n", + " [ 89., 139., 5.],\n", + " [ 82., 106., 2.],\n", + " [ 81., 78., 2.],\n", + " [ 73., 100., 4.],\n", + " [ 72., 19., 2.],\n", + " [ 71., 166., 2.],\n", + " [ 61., 3., 2.],\n", + " [ 57., 121., 2.],\n", + " [ 52., 105., 2.],\n", + " [ 48., 20., 2.],\n", + " [ 26., 62., 3.],\n", + " [ 23., 122., 3.],\n", + " [ 18., 16., 3.],\n", + " [ 15., 3., 2.],\n", + " [ 12., 158., 2.]]))" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# This line calls the blob detection (Laplacian of Gaussian function) on our galaxies image with the parameters that\n", + "# we provide\n", + "blobs_log = blob_log(image, min_sigma = 2, max_sigma=9, num_sigma=8, threshold=.05)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "niz5VnKQjwmi" + }, + "source": [ + "# Exercise 7: Blobs \n", + "What kind of output does blobs_log provide? What are its dimensions? What does the length of blobs_log physically correspond to?" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "1yC0CozDjvMD" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "[[176. 11. 2.82842712]\n", + " [174. 30. 2.82842712]\n", + " [156. 78. 2.82842712]\n", + " [150. 110. 2.82842712]\n", + " [128. 55. 2.82842712]\n", + " [126. 92. 2.82842712]\n", + " [126. 1. 2.82842712]\n", + " [119. 99. 2.82842712]\n", + " [111. 13. 2.82842712]\n", + " [107. 108. 11.3137085 ]\n", + " [106. 40. 2.82842712]\n", + " [101. 92. 2.82842712]\n", + " [ 95. 111. 2.82842712]\n", + " [ 95. 25. 4.24264069]\n", + " [ 92. 58. 2.82842712]\n", + " [ 89. 139. 7.07106781]\n", + " [ 82. 106. 2.82842712]\n", + " [ 81. 78. 2.82842712]\n", + " [ 73. 100. 5.65685425]\n", + " [ 72. 19. 2.82842712]\n", + " [ 71. 166. 2.82842712]\n", + " [ 61. 3. 2.82842712]\n", + " [ 57. 121. 2.82842712]\n", + " [ 52. 105. 2.82842712]\n", + " [ 48. 20. 2.82842712]\n", + " [ 26. 62. 4.24264069]\n", + " [ 23. 122. 4.24264069]\n", + " [ 18. 16. 4.24264069]\n", + " [ 15. 3. 2.82842712]\n", + " [ 12. 158. 2.82842712]]\n", + "(30, 3)\n" + ] + } + ], + "source": [ + "# How would you explore this questions?\n", + "\n", + "\n", + "#1. What kind of output is blobs_log?\n", + "#2. What are its dimension?\n", + "#3. What does the length of blobs_log physically correspond to?\n", + "\n", + "# solution:\n", + "print(type(blobs_log))\n", + "print(???)\n", + "print(???.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "OlVjfolFkTyG" + }, + "source": [ + "## Data from the blob finder \n", + "\n", + "The first column of blobs_log (blobs_log[0]) is the y-coordinate, the second column (blobs_log[1]) is the x-coordinate, and the third column (blobs_log[2]) is the \"size\" of the Gaussian that was used to detect the blob. " + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "bqupsIF2-I0A" + }, + "outputs": [], + "source": [ + "# In this line we use the third column to calculate the radius of the blob itself.\n", + "blobs_log[:, 2] = blobs_log[:, 2] * np.sqrt(2)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "wFMGgsQvmTE7" + }, + "source": [ + "## Plotting the blobs\n", + "Now we'll plot the blobs onto our image! For this, we will create circles with plt.Circle using the corrdinate and radius information we have from blobs_log. Then we will use add_patch to add that circle to our image. Since the plotting software needs information about the axes of the image in order to know where each circle goes, we use plt.gca() which means \"Get Current Axis\" and store the axis information into \"ax\". Then when we add the circle patches to the image, they will appear in the correct places. Finally, since there is more than one blob, we will create the circular patches and add them to the image one-by-one using a while loop. " + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "VQToTxHRmQ1-" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = plt.gca()\n", + "ax.imshow(image,origin='lower')\n", + "cnt = 0\n", + "while cnt < len(blobs_log):\n", + " c = plt.Circle((blobs_log[cnt][1], blobs_log[cnt][0]), blobs_log[cnt][2], color='white', linewidth=2, fill=False)\n", + " ax.add_patch(c)\n", + " cnt = cnt + 1\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "1Fndbo84n--g" + }, + "source": [ + "# Exercise 8: Blob Parameters\n", + "\n", + "Play around with the input parameters in the following block of code, then run it to see how changing they will affect the number and type of blobs detected:\n", + "\n", + "1. What parameter governs the sizeo of the blobs? (bigger, smaller)\n", + "2. What parameter governs the number of selected blobs? \n", + "3. What parameter governs the number of blobs? (does it pick only the brightest?)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "rsgp4YYAokM7" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "blobs_log = blob_log(image, min_sigma = 2, max_sigma=9, num_sigma=8, threshold=.05)\n", + "\n", + "### Play with the paramters above this line ###\n", + "blobs_log[:, 2] = blobs_log[:, 2] * np.sqrt(2)\n", + "ax = plt.gca()\n", + "ax.imshow(image,origin='lower')\n", + "cnt = 0\n", + "while cnt < len(blobs_log):\n", + " c = plt.Circle((blobs_log[cnt][1], blobs_log[cnt][0]), blobs_log[cnt][2], color='white', linewidth=2, fill=False)\n", + " ax.add_patch(c)\n", + " cnt = cnt + 1\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "erYchCKupIe3" + }, + "source": [ + "Write down your findings below, such as what parameters give you no blobs, how does changing the parameters affect the results, and anything else that you find interesting!" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "7GRj1Rxfn8aS" + }, + "outputs": [], + "source": [ + "# RECORD YOUR FINDINGS HERE" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "A_AOKn7T-N0T" + }, + "source": [ + "### Difference of Gaussian (DoG)\n", + "This algorithm is an approximation of the Laplacian of Gaussian, where rather than actually computing the \"Laplacian\" of the Gaussian that we mentioned above, DoG approximates this computation by taking the difference of two successively smoothed (blurred) images. Blobs are then detected as bright-on-dark spots in these difference images. This algorithm has the same disadvantage for larger blobs as the Laplacian of Gaussian algorithm.\n", + "\n", + "To run this algorithm, we use the function \"blob_dog\" (https://scikit-image.org/docs/stable/api/skimage.feature.html#skimage.feature.blob_dog), which takes the same parameters as blob_log, except for **num_sigma**, because the algorithm needs to take the difference between successive smoothings so it figures out the number of times it needs to smooth the image. This function returns the same type of array as \"blob_log\" : (y-coord, x-coord, size). " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "wbfDS6CFp-tz" + }, + "source": [ + "# Exercise 9: DoG \n", + "\n", + "Fill in the input parameters for the call to the blob_dog function and run the code. How is the result from this function different from the previous one?" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "eoIhGs2t-OXK" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "blobs_dog = blob_dog(image, min_sigma=2,max_sigma=9, threshold=0.05)\n", + "blobs_dog[:, 2] = blobs_dog[:, 2] * np.sqrt(2)\n", + "\n", + "ax = plt.gca()\n", + "ax.imshow(image,origin='lower')\n", + "cnt = 0\n", + "while cnt < len(blobs_dog):\n", + " c = plt.Circle((blobs_dog[cnt][1], blobs_dog[cnt][0]), blobs_dog[cnt][2], color='white', linewidth=2, fill=False)\n", + " ax.add_patch(c)\n", + " cnt = cnt + 1\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "tmNCqq5J-Q1V" + }, + "source": [ + "### Determinant of Hessian\n", + "The final option that scikit-image provides is the Determinant of Hessian algorithm. This algorithm performs a different kind of mathematical operation on the smoothed images, it calculates the Hessian matrix of the image (but we won't go into that), and searches for maxima in this matrix. It it the fastest approach, but it is also less accurate and has trouble finding very small blobs. \n", + "\n", + "To try it out, we will run the function \"blob_doh\" (https://scikit-image.org/docs/stable/api/skimage.feature.html#skimage.feature.blob_doh), which takes as input the same parameters as the \"blob_log\" function. Let's try it out!" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "uxHbrWp6D6Fk" + }, + "source": [ + "# Exercise 10: DoH\n", + "Fill in the input parameters for the call to the blob_doh function and run the code. How is the result from this function different from the previous one? How were the input parameters different from the previous algorithms?" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "HKM6DFpM-THY" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "blobs_doh = blob_doh(image, min_sigma=2, max_sigma=9, num_sigma=8, threshold=.001)\n", + "\n", + "ax = plt.gca()\n", + "ax.imshow(image,origin='lower')\n", + "cnt = 0\n", + "while cnt < len(blobs_doh):\n", + " c = plt.Circle((blobs_doh[cnt][1], blobs_doh[cnt][0]), blobs_doh[cnt][2], color='white', linewidth=2, fill=False)\n", + " ax.add_patch(c)\n", + " cnt = cnt + 1\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "FJqe3137EkWo" + }, + "source": [ + "\n", + "---\n", + "\n", + "># **Particle Tracking**\n", + "\n", + "Now that we have learned several image processing techniques, we are ready to put them together in an application. In physics, there is an experiment called the Monopole Ion Trap that uses electric fields to trap particles as show below.\n", + "\n", + "![alt text](https://imgur.com/1cBAcEc.gif)\n", + "\n", + "The basic priciple is that the particle is attracted to and repeled by the rod at the top of the image. In the image above, we have a very stable, well behaved, trap in which the ion just goes back and forth between two locations. However, under certain curcumstances, the particle may start to behave erratically, as shown below.\n", + "\n", + "![alt text](https://imgur.com/Z575ope.gif)\n", + "\n", + "We would like to track the particle so that we can study its position and velocity.\n", + "\n", + "Lets start by importing the two movies shown above into python. We have saved each movie, image by image, inside of folders on [here](https://github.com/tahumada/tahumada.github.io/tree/master/PAARC). So we will import them as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data dowloaded, check if there is a folder called P1\n" + ] + } + ], + "source": [ + "import os\n", + "import requests\n", + "\n", + "files_path = [f'https://github.com/tahumada/tahumada.github.io/blob/master/PAARC/P1%20-%20429V0{i:02}.gif?raw=true'.format(i) for i in range(20)]\n", + "\n", + "# downloading the data\n", + "folder_location = \"P1\"\n", + "os.system('mkdir '+ folder_location)\n", + "\n", + "for i in range(20):\n", + " img_data = requests.get(files_path[i]).content\n", + " with open(folder_location+files_path[i][files_path[i].rfind('/'):-9], 'wb') as handler:\n", + " handler.write(img_data)\n", + "print('Data dowloaded, check if there is a folder called P1')\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['P1/P1%20-%20429V009.gif', 'P1/P1%20-%20429V008.gif', 'P1/P1%20-%20429V018.gif']\n" + ] + } + ], + "source": [ + "# we import the operating system library OS to help us import many files at once\n", + "import glob \n", + "\n", + "folder_location = \"./P1\"\n", + "#the following line will navigate python to the correct foler. chdir stands for change directory.\n", + "files = glob.glob('P1/*.gif')\n", + "print(files[:3])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# use the function io.imread from skimage to show the first element of the list\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now is a good time to notice that we don't actually need the entire image to do this computation. The only thing we really need is the region the particle travels within, as shown below \n", + "\n", + "![alt text](https://imgur.com/oXLY4RF.gif)\n", + "\n", + "This is called the Region of Interest (ROI) of an image so we will crop every single image as we import it. Lets do that by importing a test image and checking how we want to crop it:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exercise 11: Cropping 2\n", + "\n", + "Find the correct copping location by chaning the slice location" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 155, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "test_image = io.imread(files[0])\n", + "plt.imshow(test_image[????], cmap = cm.gray)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we know where we want to crop the images, we can do so automatically for all of the images in the folder" + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 156, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# the following line creates an empty list that we will populate with the images as we import and crop them. \n", + "#That is, ROI is a list of matrices, each one representing an image.\n", + "ROIs = []\n", + "\n", + "# the following for-loop imports the images\n", + "for image in files:\n", + " ROIs.append(io.imread(image)[210::])\n", + "\n", + "# to make sure we are doing things correctly, lets see what the 17th image in the list is\n", + "plt.imshow(ROIs[16], cmap=cm.gray)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks good. Okay, now that we have all of the images imported, we want to run a blob finding algorithm that finds the position of the blob in each of the images. However, there are \"specles\" in the background, so make sure that your blob finding parameters are set correctly." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exercise 12: Particle Tracking\n", + "\n", + "\n", + "The goal is for you to use the examples we have provided above to write your own code to systematically find the particles in the ROI list. A general outline of the code is provided below, but if you need further help feel free to ask. \n", + "\n", + "general outline:\n", + "1. choose one of the images in the ROI list to test your parameters on\n", + "2. apply one of the blob finding techniques to the image (take a look at earlier examples if needed)\n", + "3. make a for-loop that applies this technique to all of the images in ROI and collects all of the outputs needed" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "#student solution goes here" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "metadata": {}, + "outputs": [], + "source": [ + "#instructor solution\n", + "\n", + "particles = []\n", + "\n", + "for image in ROIs:\n", + " ????" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We should now have a list of particle locations and sizes. Note that the size information is not important to this application, so we can get rid of it. In general, we find it easier to work with big complicated lists using numpy, so first we will convert the list into a numpy array, and then clean it up." + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[223. 211. 5.]\n", + " [217. 210. 5.]\n", + " [187. 206. 5.]\n", + " [174. 203. 5.]\n", + " [222. 211. 5.]\n", + " [123. 195. 5.]\n", + " [136. 197. 5.]\n", + " [215. 210. 5.]\n", + " [164. 202. 5.]\n", + " [198. 207. 5.]\n", + " [207. 208. 5.]\n", + " [150. 200. 5.]\n", + " [200. 208. 5.]\n", + " [229. 212. 5.]\n", + " [226. 212. 5.]\n", + " [209. 209. 5.]\n", + " [229. 212. 5.]\n", + " [189. 206. 5.]\n", + " [176. 204. 5.]\n", + " [227. 212. 5.]]\n" + ] + } + ], + "source": [ + "#the following line converts the list into a numpy array\n", + "particles = np.array(particles)\n", + "#the following line cleans up array to make it look nicer\n", + "particles = particles[::,0]\n", + "#this shows us what they array looks like.\n", + "print(particles)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data Analysis\n", + "\n", + "Great, using a ROI made this computation faster, and it made sure that the particle was easy to find. Unfortunately it also introduced a small offset error in the verticle position of the particle. This can be seen by taking a look at the picture below:\n", + "\n", + "![alt text](https://imgur.com/aI3a3Ve.gif)\n", + "\n", + "To correct for this error we simply have to add an offset to the y position of the particle list." + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[433. 211. 5.]\n", + " [427. 210. 5.]\n", + " [397. 206. 5.]\n", + " [384. 203. 5.]\n", + " [432. 211. 5.]\n", + " [333. 195. 5.]\n", + " [346. 197. 5.]\n", + " [425. 210. 5.]\n", + " [374. 202. 5.]\n", + " [408. 207. 5.]\n", + " [417. 208. 5.]\n", + " [360. 200. 5.]\n", + " [410. 208. 5.]\n", + " [439. 212. 5.]\n", + " [436. 212. 5.]\n", + " [419. 209. 5.]\n", + " [439. 212. 5.]\n", + " [399. 206. 5.]\n", + " [386. 204. 5.]\n", + " [437. 212. 5.]]\n" + ] + } + ], + "source": [ + "for n, blob in enumerate(particles):\n", + " particles[n] = np.add(blob, [210,0,0])\n", + "print(particles)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The final step is to turn these pixel locations into measurements of distance between the particle and the center of the rod. To do this, we will use the usual distance formula:\n", + "\n", + "![alt text](https://i.imgur.com/xsRJGbR.png)\n", + "\n", + "where (y_2, x_2) is the location of the center of the rod and (y_1, y_2) is the location of the particle. From previous measurements, the experimenters know that the center of the rod is approximately at \n", + "\n", + "y_2 = 83\n", + "\n", + "x_2 = 137\n", + "\n", + "so we can change all of the particle *location* data to particle *distance* data as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "metadata": {}, + "outputs": [], + "source": [ + "distances = []\n", + "for particle in particles:\n", + " distance = np.sqrt((83 - particle[0])**2 + (137-particle[1])**2)\n", + " distances.append(distance)\n", + " \n", + "distances = np.array(distances)\n", + "#print(distances)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Great, so now we have the the distances of the particles from the center of the rod for each movie. The experimenters also know two important pieces of information. \n", + "\n", + "1. the camera was taking 2360 pictures per second (FPS), so the time between each image is 1/2360 seconds. \n", + "2. the distance between each pixel 5.9 micron = .0059 millimeters (mm)\n", + "\n", + "we can use this information to make a plot of the particle's distance as a function of time with proper units." + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'distance(mm)')" + ] + }, + "execution_count": 161, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "time = np.linspace(0,len(distances)/2360, len(distances) )\n", + "distances = distances*.0059\n", + "plt.plot(time,distances)\n", + "plt.xlabel('time(s)')\n", + "plt.ylabel('distance(mm)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Congratulations!\n", + "\n", + "You just did particle tracking. Now we'll quickly demonstrate how to find the velocity of the particle.\n", + "\n", + "Recall that the definition of velocity is simply distance/time. Since we know that the time between pictures is 1/2360 seconds, all we have to do is calculate the distance the particle moved between each frame." + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "metadata": {}, + "outputs": [], + "source": [ + "velocities = []\n", + "for n in range(len(distances)):\n", + " if n < (len(distances)-1):\n", + " velocity = (distances[n+1] - distances[n])*2360\n", + " velocities.append(velocity)\n", + "#print(velocities)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sometime is it useful/interesting to see the velocity data in a \"phase diagram\", which is just a plot of the position vs the velocity:" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'velocity(mm/s)')" + ] + }, + "execution_count": 163, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(distances[:-1:],velocities, )\n", + "plt.xlabel('distance(mm)')\n", + "plt.ylabel('velocity(mm/s)')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "s205adVKfBjv" + }, + "source": [ + "# Bonus Material" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + }, + "colab_type": "code", + "id": "coXZ3H6LMBqu", + "outputId": "ab673c3b-5526-4a50-8227-89b7de134575" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# to achieve a better resolution we need more points. \n", + "# Let's use some lines \n", + "\n", + "number_of_points = 100\n", + "x_min,x_max = 5,9\n", + "y_min,y_max = 3,5\n", + "\n", + "plt.vlines(x_min,y_min,y_max,color='r')\n", + "plt.vlines(x_max,y_min,y_max,color='b')\n", + "plt.hlines(y_min,x_min,x_max,color='g')\n", + "plt.hlines(y_max,x_min,x_max,color='k')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "3iG_WdZuNWcM" + }, + "source": [ + "Perfect! \n", + "But how do we fill the inside in a more effective way? We do not want to specify point by point or line by line.\n", + "Let's use a matrix! But let's start slow" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 136 + }, + "colab_type": "code", + "id": "7DVJjQz5s5Wb", + "outputId": "2d2f6e85-ecf0-401f-ddbc-6513280ea6f1" + }, + "outputs": [], + "source": [ + "# number of points in each dimention \n", + "# nx: dimention in x axis, ny: dimention in y axis\n", + "nx, ny = (2, 2)\n", + "\n", + "x = np.linspace(0, 1, nx)\n", + "print('array x: ',x)\n", + "y = np.linspace(4, 5, ny)\n", + "print('array y: ',y)\n", + "xv, yv = np.meshgrid(x, y)\n", + "print('Can you describe what np.meshgrid does?')\n", + "# it gives a vector coordinate for each point in the x and y axis \n", + "print(xv)\n", + "print(yv)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + }, + "colab_type": "code", + "id": "dG_1ubMQK3YQ", + "outputId": "9852e6c2-b04b-482d-e139-69c8b1345435" + }, + "outputs": [], + "source": [ + "# for dots and lines\n", + "\n", + "# in this case each point represents a pixel!\n", + "plt.scatter(5,3,c='r')\n", + "plt.scatter(7,3,c='b')\n", + "plt.scatter(9,3,c='g')\n", + "plt.scatter(5,4,c='r')\n", + "plt.scatter(9,4,c='g')\n", + "plt.scatter(5,5,c='r')\n", + "plt.scatter(7,5,c='b')\n", + "plt.scatter(9,5,c='g')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "colab_type": "code", + "id": "bknv5bflU8A_", + "outputId": "3f289337-ed91-447e-837d-1aa9eb0987b5" + }, + "outputs": [], + "source": [ + "# we do not have to specify a color for each point.\n", + "# we can use an array that points to a specific color in a colormap\n", + "\n", + "#cm for colormap\n", + "cm = plt.cm.get_cmap('RdYlBu')\n", + "xy = np.arange(20)\n", + "z = xy\n", + "print('color array:',z)\n", + "# the color is an array! that takes a color from cmap\n", + "sc = plt.scatter(xy, xy, c=z, vmin=0, vmax=20, s=35, cmap=cm)\n", + "plt.colorbar(sc)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "colab_type": "code", + "id": "X6lv5QcKV3sE", + "outputId": "5d32069d-33a3-4816-bab7-50520604754e" + }, + "outputs": [], + "source": [ + "# let's crop some images and average/median them\n", + "images = [] \n", + "l = 50\n", + "# Selecting some regions in the image\n", + "for i in range(5):\n", + " images.append(insect[0+i*l:50+i*l,0+i*l:50+i*l])\n", + "\n", + "images = np.asarray(images)\n", + "# we need to specify the 'axis' to let the function know which dimention to operate; do we want to operate the lines, the rows or the entire images? \n", + "image_median = np.median(images,axis=0) \n", + "image_average = np.average(images,axis=0)\n", + "for image in images:\n", + " plt.figure()\n", + " plt.imshow(image)\n", + " plt.title('Image #%d'%i)\n", + "plt.figure()\n", + "plt.imshow(image_median)\n", + "plt.title('Median')\n", + "plt.figure()\n", + "plt.imshow(image_average)\n", + "plt.title('Averaged')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 136 + }, + "colab_type": "code", + "id": "SNobSNCWUOvm", + "outputId": "b8aa9ed1-7008-4af6-fad4-7325613e1711" + }, + "outputs": [], + "source": [ + "insect[0:50,0:50]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "lMFiA_-kWMPi" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "R-Zy3DjC_aLS" + }, + "source": [ + "# Contours" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 486 + }, + "colab_type": "code", + "id": "4mbikrYoNKuj", + "outputId": "cbfd146c-359d-4169-dfc8-46adb22cb14a", + "scrolled": false + }, + "outputs": [], + "source": [ + "# There are functions that can fill the spaces for us!\n", + "\n", + "number_of_points=100\n", + "# creating an array to achieve a better resolution\n", + "x = np.linspace(-5,5,number_of_points)\n", + "y = np.linspace(-5,5,number_of_points)\n", + "xx, yy = np.meshgrid(x, y, sparse=True)\n", + "z = np.sin(xx**2 + yy**2) / (xx**2 + yy**2)\n", + "\n", + "h = plt.contourf(x,y,z)\n", + "plt.show()\n", + "\n", + "print('The information needed to construct an image is in z:',z)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "YmKi6Io8GkCK" + }, + "source": [ + "Basically, all the information of an image is contained in the 'z' array. Each row is a horizontal line and each value within these vectors is spatially linked to the vertical axis and its value is the color. " + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [ + "R-Zy3DjC_aLS", + "s205adVKfBjv" + ], + "name": "Lecture_4.ipynb", + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.7" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/old_website/PAARC/PARC_image_analysis.html b/old_website/PAARC/PARC_image_analysis.html new file mode 100644 index 0000000..e716abd --- /dev/null +++ b/old_website/PAARC/PARC_image_analysis.html @@ -0,0 +1,16245 @@ + + + + +PARC_image_analysis + + + + + + + + + + + + + + + + + + + + + + +
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This lecture is based on two GRADMAP resources originally written by Tomas Ahumada, Laura Lenkic, Edgar Perez, Alex Dittman, and Ramsey Karim, among other gradute students at the Astronomy and Physics departments at the University of Maryland

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Introduction to Image Processing

Image processing is a very useful tool for scientists in the lab, and for everyday uses as well. For, example, an astronomer may use image processing to help find and recognize stars, or a self driving car may use it to stay in the correct lane.

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This lecture will teach you some of the fundamental tools of image processing so that you can use it in your own studies/applications.

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Fundamentals

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What is an image, really?

alt text

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Figure 1: Felix the cat

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As we can see from Felix the cat, images are just a coordinate system in which each block (x,y) has a value associated to it. These values are later interpreted as a color.

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For example, in Figure 1, we would be describing two colors (black and white) and we could describe them using 1's and 0's. In general, 0 is taken to mean the absence of color, which means that 0 = black and 1 = white. Putting these ideas together, we can see that each point in an image requires three peices of information:

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  1. x - position
  2. +
  3. y - position
  4. +
  5. color (1 or 0)
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So if we were instructing a computer to produce even a small image, we would need to give it a large list of numbers.

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alt text

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Figure 2: Checker board pattern

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For example, suppose we wanted the computer to produce the checkboard patter that we see in Figure 2. If we make a list of the information the computer needs, we can format it like (x-coordinate, y-coordinate, color) and the whole list would be

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(1,1,1), (1,2,0), (1,3,1), (2,1,0), (2,2,1), (2,3,0), (3,1,1), (3,2,0), (3,3,1)

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alt text

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Figure 3: Images

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To make the image making process easier, people decided to ditch the traditional coordinate system and use matricies instead! However, because both systems work and because sometimes one method can be more convenient than the other, both still exists, but they have different names.

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When you use a coordinate system to instruct the computer, that's a scatter plot. When you use a matrix, that's called an image.

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To instruct the computer to make a scatter plot of the 9 square checkerboard, we had to give it 3x9=27 numbers. To insturct it to make an image of the checkerboard, we only have to give it 9 numbers, but they have to be in the correct order. Specifically, the order looks like this:

+ +
image = [ [1, 0, 1],
+          [0, 1, 0],
+          [1, 0, 1] ]
+

Each location that we assign a value to is considered a pixel. Thus, we have created an image that is 3 pixels wide and 3 pixels tall, and it has a total of 9 pixels.

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When we watch youtube videos at 1080p, we are actually looking at pictures that are 1080 pixels tall and 1920 pixel wide. These images have a total of 1080x1920 = 2,073,600‬ pixels. If we round to the nearest million, there are approximately 2 million pixels in each image. This would be considered a 2 Mega Pixel (MP) image. This is the same number phone manufactures using when talking about how many megapixels their newest device has.

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Exercise 1: Making images

alt text

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Can you make the image matrix for the checker board that is shown above?

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For this we will:

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  1. create a matrix
  2. +
  3. plot the image using plt.imshow()
  4. +
  5. change the colormap
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In [34]:
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# set exercise1 equal to your matrix
+#SOLUTION:
+exercise1 = [[0,1,0],
+             [1,0,1],
+             [0,1,0]]
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+ +
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We can check if we got this right by having the computer make the image. To do this, we will use matplotlib's "plt.imshow" function, which takes in matricies and turns them into images.

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In [35]:
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import matplotlib.pyplot as plt
+import numpy as np
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+plt.imshow(exercise1)
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Out[35]:
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<matplotlib.image.AxesImage at 0x7fa054e1db70>
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Now, we have gotten a figure that looks like the correct board, but the colors are wrong. To fix this, we need to tell the computer that we want to see the image in grayscale. We do this by inserting a "cmap" into the plt.imshow function. "cmap" stands for "color map" and in this case, we will set it to grayscale

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In [36]:
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from matplotlib import cm
+plt.imshow(exercise1, cmap=cm.gray)
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Out[36]:
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<matplotlib.image.AxesImage at 0x7fa0576b8128>
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If the output of the code above does not match the chekerboad in the exercise try again or ask for help. Notice how the order of the numbers is important to final image.

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Exercise 1, part II:

    +
  1. Can you show what would happend to the plot if instead of ones and zeros you replace one number with a 2?
  2. +
  3. Now show what happens if you change multiple entries to different numbers.
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In [38]:
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# solution
+# part 1
+exercise1b1 = [[0,2,0],
+              [1,0,1],
+              [0,1,0]]
+
+plt.imshow(exercise1b1, cmap=cm.gray)
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Out[38]:
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<matplotlib.image.AxesImage at 0x7fa0584481d0>
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In [41]:
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#part 2
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+exercise1b2 = [[0,3,0],
+              [2,7,1],
+              [0,1,0]]
+
+plt.imshow(exercise1b2, cmap=cm.gray)
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Out[41]:
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<matplotlib.image.AxesImage at 0x7fa05864d828>
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Exercise 2: Understanding matrixes with scatter plots

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Other plotting tools like plt.scatter, helps us show data in very intuitive ways.

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In [6]:
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%matplotlib inline
+import numpy as np
+
+N=100 #number of data points
+np.random.seed(0) #fix Random number generator seed for consistent data
+
+#make some 'fake' data to plot
+altitude = 2**np.random.uniform(low=0.0, high = 5.0, size=N) 
+temperature = 300.0 - 5*altitude**0.5 + np.random.normal(loc=20,scale=10,size=N)
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In [42]:
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# use plt.scatter() to plot the arrays altitude and temperature
+import matplotlib.pyplot as plt
+plt.scatter(altitude, temperature)
+plt.xlabel('altitude')
+plt.ylabel("temperature")
+plt.title("remember this is fake data!")
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Out[42]:
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Text(0.5, 1.0, 'remember this is fake data!')
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Now, what if in addition to altitude, we have data for X and Y positions:

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In [8]:
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x = np.random.uniform(low=0, high=10, size=N)
+y = np.random.uniform(low=0, high=10, size=N)
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With a little extra legwork, we can make a 3D scatterplot in matplotlib showing at which positions we have data:

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In [9]:
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ax = plt.figure().add_subplot(projection='3d')
+ax.scatter(x,y,altitude)
+ax.set_xlabel('X')
+ax.set_ylabel('Y')
+ax.set_zlabel("altitude")
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Out[9]:
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Text(0.5, 0, 'altitude')
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It might also be useful to use colors to show the temperature measured at each data point. We can do this using:

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In [164]:
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ax = plt.figure().add_subplot(projection='3d')
+ax.scatter(x,y,altitude,
+           c=temperature, cmap='plasma')
+ax.set_xlabel('X')
+ax.set_ylabel('Y')
+ax.set_zlabel("altitude");
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Now the colors are specified using the temperature data. The above example uses the 'plasma' colormap, so high temperatures are in brighter more yellow colors, and cooler temperatures are darker blue/purple colors. You can read more about colormaps and see some of the other options here.

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But now, let's go back to 2D data for a moment. For example, we might have a thousands of measurements of stellar masses and radii and try to use a scatter plot to visualize them:

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In [43]:
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N = 100000
+M = np.random.normal(loc=1.4, scale=0.1, size=N)
+R = M*12*np.random.power(4, size=N)*np.random.normal(scale=0.08,loc=1,size=N)
+plt.scatter(R,M)
+plt.xlabel('R')
+plt.ylabel('M')
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Out[43]:
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Text(0, 0.5, 'M')
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It's almost imposible to make out any of the details! The points are so large they overlap entirely in most of the plot. Thankfully, there are other tools for visulizing large numbers of samples.

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Exercise 2, part 2

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  1. Using this tutorial, plot R and M and describe what you see.
  2. +
  3. Can you find what are the coordinates of the higgest density area? hint: you can look for the bin with the largest value.
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  5. Overplot a star at the position of the higgest density area.
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In [45]:
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hb = plt.hexbin(R, M, gridsize=50, bins='log', cmap='inferno')
+plt.xlabel('R')
+plt.ylabel('M')
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In [54]:
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bin_number = hb.get_array() # where is the max
+ind = np.argmax(bin_number)
+pos = hb.get_offsets()
+
+hb = plt.hexbin(R, M, gridsize=50, bins='log', cmap='inferno')
+plt.scatter(pos[ind][0],pos[ind][1],marker='*')
+plt.xlabel('R')
+plt.ylabel('M')
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Out[54]:
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Text(0, 0.5, 'M')
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Images

Often times, we'll find ourselves plotting images, i.e. colors over a grid of positions, or similar data (e.g. temperature over a grid of x and y coordinates, which we can represent using color). If we have an image, we can use some of matplotlib's tools to load it in, e.g.

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In [55]:
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from PIL import Image  #need this to grab an image from a URL
+import requests  #this too
+img = Image.open(requests.get("https://science.nasa.gov/science-red/s3fs-public/styles/large/public/thumbnails/image/Hertz_Feb13.jpg", stream=True).raw)
+plt.gca().axis('off') #try commenting this line!
+plt.imshow(img)
+
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Out[55]:
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<matplotlib.image.AxesImage at 0x7fa039603400>
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Wow, Paul (the head of NASA astrophysics) looks dapper! We can also try using different colormaps by first extracting just the black-and-white image.

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Pop art exercise

Become a pop artist and emulate Andrew Warhola (a.k.a. Andy Warhol): +Use your favorite 6 colormaps (Google them!) and complete this fabulous collage.

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In [58]:
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imglum = img.convert('L') #extract just the brightness information from the image
+fig, ax = plt.subplots(1,6, figsize=(16,4))
+ax[0].imshow(imglum, cmap='gray')
+ax[1].imshow(imglum, cmap='Reds_r')
+ax[2].imshow(imglum, cmap='cool')
+ax[3].imshow(imglum, cmap='viridis')
+ax[4].imshow(imglum, cmap='jet')
+ax[5].imshow(imglum, cmap='magma')
+for i in range(6): ax[i].axis('off')
+plt.subplots_adjust(wspace=0.0)
+
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Some of these are not like the others...... In particular, 'cool' and 'jet' make him look a little less dapper.... This is largely because 'jet' and 'cool' don't just go from dark to light, but wiggle around a bit as well. This can potentially lead to misleading images, but the python default 'viridis', doesn't have this problem so you should be okay. Here are a few other discussions on colormaps and picking the right colormap for your data: 1 2 3. Another python package that includes good colormaps is cmocean, which is developed by an oceanographer, but used all over the place.

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In addition to 'plt.imshow', there are a few other ways to plot image-like data. Some examples are given here, but we'll cover 'pcolor' and 'pcolormesh.'

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First, we'll make some arrays for x and y coordinates, then some data (let's call it temperature again).

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In [ ]:
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X = np.linspace(0,10,200)
+Y = np.linspace(0,20,200)
+Xgrid, Ygrid = np.meshgrid(X,Y)
+temperatures = 300+20*(np.cos(Xgrid)*np.cos(Ygrid))**3*np.exp(-0.01*(Xgrid-3)**2*(Ygrid-7)**2)
+plt.pcolor(X, Y, temperatures)
+plt.show()
+plt.pcolormesh(Xgrid, Ygrid, temperatures)
+
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+
+

Great! The main difference between 'pcolor' and 'pcolormesh' is that pcolor takes 1D arrays of X and Y positions individually, and only works for Cartesian grids, while pcolormesh takes 2D arrays of X and Y coordinates. For Cartesian data they work in essentially the same way, although pcolormesh is typically a lot faster, especially for large images. However, pcolormesh also works for non-cartesian data:

+ +
+
+
+
+
+
In [20]:
+
+
+
r = np.linspace(0.5, 3.0, 200)
+theta = np.linspace(0.0, 2.0*np.pi, 200)
+Rgrid, Tgrid = np.meshgrid(r, theta)
+X = Rgrid*np.sin(Tgrid)
+Y = Rgrid*np.cos(Tgrid)
+temperatures = (1+np.cos(X*10)*np.cos(Y*10)**5)*np.exp(-5*(Rgrid-1.75)**2)
+plt.pcolormesh(X, Y, temperatures, cmap='plasma_r')
+plt.gca().axis('equal')  #without this, the circle looks like an oval!
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Image Arithmatic

Now that we have covered the fundamentals, we can start diving into image manipulations, starting with slices and arithmatic.

+

There are many tools we can use to learn about image processing. Today, we will be using Scikit-Image, a free to use and easy to learn python library, and we'll start by looking at an image of an insect.

+ +
+
+
+
+
+
In [8]:
+
+
+
# first we import the input/output module from skimage called "io". io lets us 
+# read files on the computer or online
+from skimage import io
+insect = io.imread('https://matplotlib.org/3.1.1/_images/stinkbug.png')
+
+#we can take a look at the image we just imported once again using image show.
+plt.imshow(insect, cmap=cm.gray, vmin=0, vmax=256)
+plt.colorbar()
+
+ +
+
+
+ +
+
+ + +
+ +
Out[8]:
+ + + + +
+
<matplotlib.colorbar.Colorbar at 0x13aa35da0>
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Remember that, since we are working with images, the information is stored inside of a matrix. Lets take a look at that matrix.

+ +
+
+
+
+
+
In [9]:
+
+
+
# show the array
+print(insect)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
[[104 104 104 ... 109 109 109]
+ [105 105 105 ... 109 109 109]
+ [107 106 106 ... 110 110 110]
+ ...
+ [112 111 110 ... 116 115 115]
+ [113 113 112 ... 115 114 114]
+ [113 115 115 ... 114 114 113]]
+
+
+
+ +
+
+ +
+
+
+
+

The first thing we notice is that this image is no longer just 1's and 0's. The numbers go from 0 to 256, and recalling that 0 = absence of light, we take 0=black and 256=white. All of the numbers between 0 and 255 are various shades of gray.

+

Next, we can see that there are ellipses inside of the matrix. This is python's way of telling us that there are so many positions and values that writing them all out would take a huge amount of space on the screen, and a list that big is hard to read.

+

In the checker board example we had an image that had 3 rows and 3 columns. We can check the shape of any matrix by adding ".shape" after its name. Let's see the shape of the insect image

+ +
+
+
+
+
+
In [10]:
+
+
+
# show the shape of the array
+print(insect.shape)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
(375, 500)
+
+
+
+ +
+
+ +
+
+
+
+

It looks like this matrix has 375 rows and 500 columns, so we expect it to be wider than it is tall. We can take a look at the value of a specific pixel by calling its location like this:

+ +
+
+
+
+
+
In [11]:
+
+
+
# show the value of the pixel in the 100th row and 200th column
+print(insect[100,200])
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
157
+
+
+
+ +
+
+ +
+
+
+
+

Cropping

+

Cropping an image is very simple. Basically, we have a really big matrix, but want to get rid of the rows and columns that we are not interestesd in. We can do this by slicing the matrix usng brackets [ ] as show below:

+ +
+
+
+
+
+
In [12]:
+
+
+
# display only the section of the image between columns 150 - 350 and rows 200 - 400
+plt.imshow(insect[50:150,150:275], cmap=cm.gray, vmin=0, vmax=256)
+
+ +
+
+
+ +
+
+ + +
+ +
Out[12]:
+ + + + +
+
<matplotlib.image.AxesImage at 0x13ac1a0b8>
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

In this case we cropped to the left most antenna.

+ +
+
+
+
+
+
+

Exercise 3: Cropping

By altering the slice locations of the image matrix, can you crop the photo to focus in on the insect's face?

+ +
+
+
+
+
+
In [13]:
+
+
+
plt.imshow(insect[150:250,210:300], cmap=cm.gray, vmin=0, vmax=256)
+
+ +
+
+
+ +
+
+ + +
+ +
Out[13]:
+ + + + +
+
<matplotlib.image.AxesImage at 0x13acd6860>
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Image Arithmatic (continued)

since we are still working with a matrix, we are free to do normal math operations on it. For example, we can divide all of the values in the image by 2. This should darken the image, lets try it:

+ +
+
+
+
+
+
In [14]:
+
+
+
#divide the image by two and display it
+plt.imshow((insect*0.5).astype(int), cmap=cm.gray)#, vmax=255, vmin=0)
+plt.colorbar()
+
+ +
+
+
+ +
+
+ + +
+ +
Out[14]:
+ + + + +
+
<matplotlib.colorbar.Colorbar at 0x13aab4160>
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

To brighten the image, we can instead multiply the matrix by 1.5:

+ +
+
+
+
+
+
In [15]:
+
+
+
#multiply the image by 1.5 and display it
+plt.imshow((insect*1.5).astype(int), cmap=cm.gray, vmax=255, vmin=0)
+plt.colorbar()
+
+ +
+
+
+ +
+
+ + +
+ +
Out[15]:
+ + + + +
+
<matplotlib.colorbar.Colorbar at 0x13b33aac8>
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

We can also add and subtract images from one another. For example, we can subtract an image from its self:

+ +
+
+
+
+
+
In [16]:
+
+
+
# subtract the image to itself and display
+plt.imshow(insect-insect, cmap=cm.gray, vmax=256, vmin=0)
+# check that the array in full of zeros
+print(insect-insect)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
[[0 0 0 ... 0 0 0]
+ [0 0 0 ... 0 0 0]
+ [0 0 0 ... 0 0 0]
+ ...
+ [0 0 0 ... 0 0 0]
+ [0 0 0 ... 0 0 0]
+ [0 0 0 ... 0 0 0]]
+
+
+
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

We can also directly modify the values of the matrix elements ourselves. For example, if we want to set a portion of the image to solid black, we can do so by setting all of the pixels in that region to zero, like this:

+ +
+
+
+
+
+
In [17]:
+
+
+
# set the region x=[50,100] and y=[50,100] to zero and display
+img = np.copy(insect)
+img[50:100,50:100] = 0
+plt.imshow(img, cmap=cm.gray, vmax=256, vmin=0)
+
+ +
+
+
+ +
+
+ + +
+ +
Out[17]:
+ + + + +
+
<matplotlib.image.AxesImage at 0x13b5dccc0>
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Exercise 4: Censorship

By altering the code below, censor the insects face with a white block. Remember that white = 255

+ +
+
+
+
+
+
In [18]:
+
+
+
img = np.copy(insect)
+img[150:250,210:300] = 255
+plt.imshow(img, cmap=cm.gray, vmax=256, vmin=0)
+
+ +
+
+
+ +
+
+ + +
+ +
Out[18]:
+ + + + +
+
<matplotlib.image.AxesImage at 0x13b6429b0>
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Challenge Problem : Gradients

+
+
+
+
+
+
In [77]:
+
+
+
# challenge problem: make a fading image from top to bottom (hint: multiply the image by a gradient you can create)
+plt.imshow(insect * np.linspace(0,2,len(insect))[:, None],cmap=cm.gray, vmax=256, vmin=0 )
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
+---------------------------------------------------------------------------
+NameError                                 Traceback (most recent call last)
+<ipython-input-77-52c127b765b9> in <module>
+      1 # challenge problem: make a fading image from top to bottom (hint: multiply the image by a gradient you can create)
+----> 2 plt.imshow(insect * np.linspace(0,2,len(insect))[:, None],cmap=cm.gray, vmax=256, vmin=0 )
+
+NameError: name 'insect' is not defined
+
+
+ +
+
+ +
+
+
+
+

Advanced Image Processing

+
+

Blob Detection

What are blobs and why do we care?

In essence, "blob detection" is the process of searching for and identifying bright spots on a dark background, or dark spots on a light background. The "blobs" can correspond to any number of physical phenomena. In astronomy, for example, this can be relevant if you have an image of a part of the sky and want to identify something like galaxies. You might be wondering though, why not just look at an image yourself and pick out blobs "by eye"? In our example of identifying galaxies in an astronomical image, a systematic way of doing this may be beneficial for several reasons:

+
    +
  • you may have faint objects in your image the are difficult to distinguish from the background
  • +
  • you may have a crowded field where bright points are close enough together that they are difficult to disentangle
  • +
  • you may have a large dataset where it would just take you a long time to go through everything by hand
  • +
  • you may want to define where a blob "ends" in a systematic way so that your blob definition is consistent across all objects you identify
  • +
+

These are just some of the reasons why a systematic approach to identifying blobs in images could be beneficial. Checking the output of your algorithm by eye, however, is wise to make sure that it is not outputting nonsense.

+

Let's get started with first reading in our first astronomical image; a nearby group of galaxies! Astronomical images are stored as "fits" files, this is essentially a table that contains the information of how bright the sky is at each pixel in your image, and a "header", which contains information about how pixels translate into coordinates on the sky, what instrument was used, and the units of the image for example. We will read the fits file into a numpy array using the package called astropy (see http://docs.astropy.org/en/stable/index.html for documentation). This package streamlines the process of working with astronomical images in Python.

+ +
+
+
+
+
+
+

First we will import a few packages that we are going to use throughout this section: skimage will allow us to run the blob detection algorithms, matplotlib will allow us to plot our data, astropy will allow us to read "fits" files, and numpy will let us do cool things with arrays.

+ +
+
+
+
+
+
In [78]:
+
+
+
from skimage.feature import blob_dog, blob_log, blob_doh
+import matplotlib.pyplot as plt
+from astropy.io import fits
+import numpy as np
+from astropy.utils.data import download_file
+
+ +
+
+
+ +
+
+
+
+

This line reads the fits file --> data table and header.

+ +
+
+
+
+
+
In [89]:
+
+
+
url = 'https://github.com/tahumada/tahumada.github.io/blob/master/PAARC/RSCG1.fits?raw=true'
+filename = download_file(url, cache=True)
+hdu = fits.open(filename)
+
+ +
+
+
+ +
+
+
+
+

Exercise 5: hdu

    +
  1. What is the type of hdu?
  2. +
  3. What happens when you print hdu?
  4. +
+ +
+
+
+
+
+
In [84]:
+
+
+
#Insert your code here:
+
+print(type(hdu))
+print(hdu)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
<class 'astropy.io.fits.hdu.hdulist.HDUList'>
+[<astropy.io.fits.hdu.image.PrimaryHDU object at 0x7fa03cc5b5f8>]
+
+
+
+ +
+
+ +
+
+
+
+

This line reads the data associated with the header into a numpy array. A fits file can have more than one header, and since Python indices start at 0, we tell Python to read the data associated with the first (and only) header associated with this fits file.

+ +
+
+
+
+
+
In [90]:
+
+
+
image = hdu[0].data
+# This line closes the fits file because we don't need it anymore; we've already read the data into an array.
+hdu.close()
+
+ +
+
+
+ +
+
+
+
+

Exercise 6: Astronomical Images

    +
  1. What is the type of the image?
  2. +
  3. What happens when you print image?
  4. +
  5. What are the dimensions of image?
  6. +
  7. What are the minimum and maximum values?
  8. +
+ +
+
+
+
+
+
In [63]:
+
+
+
#Insert your code here:
+
+print(type(image)) # this prints the type, how would you show the answers to 2-4?
+print(image)
+print(image.shape)
+print(np.max(image))
+print(np.min(image))
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
<class 'numpy.ndarray'>
+[[3001 3001 3253 ... 3137 3137 3137]
+ [3102 3102 3607 ... 2935 2935 2935]
+ [3506 3506 3607 ... 2935 2935 3339]
+ ...
+ [3251 3251 3352 ... 3681 3681 3278]
+ [3453 3049 3352 ... 3278 3681 3681]
+ [3453 3049 3352 ... 3278 3681 3681]]
+(177, 177)
+15503
+2573
+
+
+
+ +
+
+ +
+
+
+
+

That's it, you've now read your astronomical image into Python and can work with the data and analyze it! Let's visualize the data now to get an idea of what it is we are actually dealing with.

+ +
+
+
+
+
+
In [96]:
+
+
+
# imshow will map the 2D array (our data), and origin='lower' tells imshow to plot (0,0) in the bottom left corner. 
+plt.imshow(image,origin='lower')
+plt.colorbar()
+plt.show()
+
+
+# EXERCISE: What happens if you remove origin='lower'? How does the mapping of the image change?
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

We can now run some blob finding algorithms on this data set and see what we find and if it makes sense! For this, we will use the scikit-image package which is an image processing pacakge in Python. This package has three algorithms for detecting blobs (all discussed here: https://en.wikipedia.org/wiki/Blob_detection):

+
    +
  • Laplacian of Gaussian
  • +
  • Difference of Gaussian
  • +
  • Determinant of Hessian
  • +
+

This is great, but what does this actually mean? How do they work? What's the difference between them?

+

Laplacian of Gaussian

This algorithm starts by smoothing (blurring) the entire image with a two-dimensional Gaussian function:

+$$\begin{align} g(x,y,\sigma) = \frac{1}{2\pi\sigma^2} e^\left(-\frac{x^2+y^2}{2\sigma^2}\right) \end{align}$$

+

where $(x,y)$ correspond to pixel coordinates on your image, and $\sigma$ represents the "size" or "width" of the Gaussian function. The algorithm then performs a mathematical computation called taking the "Laplacian", however we will not go into the details of that. What this effectively gives you is strong responses for blobs of size $\sqrt{2}\sigma$. This means that the algorithm is most sensitive to detecting blobs that have a similar size to that of the Gaussian function that you smooth your image with in the first place. In order to detect blobs of varying size, you need to use an approach that allows you to smooth your image with Gaussians of varying sizes to try to match the scale of potential blobs. This approach is the most accurate but also the slowest approach, especially for the largest blobs, because it needs to smooth the image with a larger Gaussian.

+

The scikit-image function "blob_log" (https://scikit-image.org/docs/dev/api/skimage.feature.html#skimage.feature.blob_log) has this capability. To run it, we simply need to call the function and provide it with the correct input parameters. In the following piece of code, this is what we are going to provide the function with:

+
    +
  • image to run the blob detection on
  • +
  • min_sigma: the minimum size for the Gaussian that will be used to smooth the image; this corresponds to the smallest blobs we expect in the image
  • +
  • max_sigma: the maximum size for the Gaussian that will be used to smooth the image; this corresponds to the largest blobs we expect in the image
  • +
  • num_sigma: the number of sizes to consider between the minimum and maximum
  • +
  • threshold: relates to how faint of a blob you can detect; a smaller threshold will detect fainter blobs
  • +
+

The call to this function will output a list of x and y coordinates corresponding to the center of each blob, as well as the "size" of the Gaussian that it used to find that blob. Let's try it out!

+ +
+
+
+
+
+
In [65]:
+
+
+
# This line calls the blob detection (Laplacian of Gaussian function) on our galaxies image with the parameters that
+# we provide
+blobs_log = blob_log(image, min_sigma = 2, max_sigma=9, num_sigma=8, threshold=.05)
+
+ +
+
+
+ +
+
+ + +
+ +
Out[65]:
+ + + + +
+
((30, 3),
+ array([[176.,  11.,   2.],
+        [174.,  30.,   2.],
+        [156.,  78.,   2.],
+        [150., 110.,   2.],
+        [128.,  55.,   2.],
+        [126.,  92.,   2.],
+        [126.,   1.,   2.],
+        [119.,  99.,   2.],
+        [111.,  13.,   2.],
+        [107., 108.,   8.],
+        [106.,  40.,   2.],
+        [101.,  92.,   2.],
+        [ 95., 111.,   2.],
+        [ 95.,  25.,   3.],
+        [ 92.,  58.,   2.],
+        [ 89., 139.,   5.],
+        [ 82., 106.,   2.],
+        [ 81.,  78.,   2.],
+        [ 73., 100.,   4.],
+        [ 72.,  19.,   2.],
+        [ 71., 166.,   2.],
+        [ 61.,   3.,   2.],
+        [ 57., 121.,   2.],
+        [ 52., 105.,   2.],
+        [ 48.,  20.,   2.],
+        [ 26.,  62.,   3.],
+        [ 23., 122.,   3.],
+        [ 18.,  16.,   3.],
+        [ 15.,   3.,   2.],
+        [ 12., 158.,   2.]]))
+
+ +
+ +
+
+ +
+
+
+
+

Exercise 7: Blobs

What kind of output does blobs_log provide? What are its dimensions? What does the length of blobs_log physically correspond to?

+ +
+
+
+
+
+
In [93]:
+
+
+
# How would you explore this questions?
+
+
+#1. What kind of output is blobs_log?
+#2. What are its dimension?
+#3. What does the length of blobs_log physically correspond to?
+
+# solution:
+print(type(blobs_log))
+print(blobs_log)
+print(blobs_log.shape)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
<class 'numpy.ndarray'>
+[[176.          11.           2.82842712]
+ [174.          30.           2.82842712]
+ [156.          78.           2.82842712]
+ [150.         110.           2.82842712]
+ [128.          55.           2.82842712]
+ [126.          92.           2.82842712]
+ [126.           1.           2.82842712]
+ [119.          99.           2.82842712]
+ [111.          13.           2.82842712]
+ [107.         108.          11.3137085 ]
+ [106.          40.           2.82842712]
+ [101.          92.           2.82842712]
+ [ 95.         111.           2.82842712]
+ [ 95.          25.           4.24264069]
+ [ 92.          58.           2.82842712]
+ [ 89.         139.           7.07106781]
+ [ 82.         106.           2.82842712]
+ [ 81.          78.           2.82842712]
+ [ 73.         100.           5.65685425]
+ [ 72.          19.           2.82842712]
+ [ 71.         166.           2.82842712]
+ [ 61.           3.           2.82842712]
+ [ 57.         121.           2.82842712]
+ [ 52.         105.           2.82842712]
+ [ 48.          20.           2.82842712]
+ [ 26.          62.           4.24264069]
+ [ 23.         122.           4.24264069]
+ [ 18.          16.           4.24264069]
+ [ 15.           3.           2.82842712]
+ [ 12.         158.           2.82842712]]
+(30, 3)
+
+
+
+ +
+
+ +
+
+
+
+

Data from the blob finder

The first column of blobs_log (blobs_log[0]) is the y-coordinate, the second column (blobs_log[1]) is the x-coordinate, and the third column (blobs_log[2]) is the "size" of the Gaussian that was used to detect the blob.

+ +
+
+
+
+
+
In [66]:
+
+
+
# In this line we use the third column to calculate the radius of the blob itself.
+blobs_log[:, 2] = blobs_log[:, 2] * np.sqrt(2)
+
+ +
+
+
+ +
+
+
+
+

Plotting the blobs

Now we'll plot the blobs onto our image! For this, we will create circles with plt.Circle using the corrdinate and radius information we have from blobs_log. Then we will use add_patch to add that circle to our image. Since the plotting software needs information about the axes of the image in order to know where each circle goes, we use plt.gca() which means "Get Current Axis" and store the axis information into "ax". Then when we add the circle patches to the image, they will appear in the correct places. Finally, since there is more than one blob, we will create the circular patches and add them to the image one-by-one using a while loop.

+ +
+
+
+
+
+
In [67]:
+
+
+
ax = plt.gca()
+ax.imshow(image,origin='lower')
+cnt = 0
+while cnt < len(blobs_log):
+    c = plt.Circle((blobs_log[cnt][1], blobs_log[cnt][0]), blobs_log[cnt][2], color='white', linewidth=2, fill=False)
+    ax.add_patch(c)
+    cnt = cnt + 1
+plt.show()
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Exercise 8: Blob Parameters

Play around with the input parameters in the following block of code, then run it to see how changing they will affect the number and type of blobs detected:

+
    +
  1. What parameter governs the sizeo of the blobs? (bigger, smaller)
  2. +
  3. What parameter governs the number of selected blobs?
  4. +
  5. What parameter governs the number of blobs? (does it pick only the brightest?)
  6. +
+ +
+
+
+
+
+
In [76]:
+
+
+
blobs_log = blob_log(image, min_sigma = 2, max_sigma=9, num_sigma=8, threshold=.05)
+
+### Play with the paramters above this line ###
+blobs_log[:, 2] = blobs_log[:, 2] * np.sqrt(2)
+ax = plt.gca()
+ax.imshow(image,origin='lower')
+cnt = 0
+while cnt < len(blobs_log):
+    c = plt.Circle((blobs_log[cnt][1], blobs_log[cnt][0]), blobs_log[cnt][2], color='white', linewidth=2, fill=False)
+    ax.add_patch(c)
+    cnt = cnt + 1
+plt.show()
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Write down your findings below, such as what parameters give you no blobs, how does changing the parameters affect the results, and anything else that you find interesting!

+ +
+
+
+
+
+
In [31]:
+
+
+
# RECORD YOUR FINDINGS HERE
+
+ +
+
+
+ +
+
+
+
+

Difference of Gaussian (DoG)

This algorithm is an approximation of the Laplacian of Gaussian, where rather than actually computing the "Laplacian" of the Gaussian that we mentioned above, DoG approximates this computation by taking the difference of two successively smoothed (blurred) images. Blobs are then detected as bright-on-dark spots in these difference images. This algorithm has the same disadvantage for larger blobs as the Laplacian of Gaussian algorithm.

+

To run this algorithm, we use the function "blob_dog" (https://scikit-image.org/docs/stable/api/skimage.feature.html#skimage.feature.blob_dog), which takes the same parameters as blob_log, except for num_sigma, because the algorithm needs to take the difference between successive smoothings so it figures out the number of times it needs to smooth the image. This function returns the same type of array as "blob_log" : (y-coord, x-coord, size).

+ +
+
+
+
+
+
+

Exercise 9: DoG

Fill in the input parameters for the call to the blob_dog function and run the code. How is the result from this function different from the previous one?

+ +
+
+
+
+
+
In [32]:
+
+
+
blobs_dog = blob_dog(image, min_sigma=2,max_sigma=9, threshold=0.05)
+blobs_dog[:, 2] = blobs_dog[:, 2] * np.sqrt(2)
+
+ax = plt.gca()
+ax.imshow(image,origin='lower')
+cnt = 0
+while cnt < len(blobs_dog):
+    c = plt.Circle((blobs_dog[cnt][1], blobs_dog[cnt][0]), blobs_dog[cnt][2], color='white', linewidth=2, fill=False)
+    ax.add_patch(c)
+    cnt = cnt + 1
+plt.show()
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Determinant of Hessian

The final option that scikit-image provides is the Determinant of Hessian algorithm. This algorithm performs a different kind of mathematical operation on the smoothed images, it calculates the Hessian matrix of the image (but we won't go into that), and searches for maxima in this matrix. It it the fastest approach, but it is also less accurate and has trouble finding very small blobs.

+

To try it out, we will run the function "blob_doh" (https://scikit-image.org/docs/stable/api/skimage.feature.html#skimage.feature.blob_doh), which takes as input the same parameters as the "blob_log" function. Let's try it out!

+ +
+
+
+
+
+
+

Exercise 10: DoH

Fill in the input parameters for the call to the blob_doh function and run the code. How is the result from this function different from the previous one? How were the input parameters different from the previous algorithms?

+ +
+
+
+
+
+
In [33]:
+
+
+
blobs_doh = blob_doh(image, min_sigma=2, max_sigma=9, num_sigma=8, threshold=.001)
+
+ax = plt.gca()
+ax.imshow(image,origin='lower')
+cnt = 0
+while cnt < len(blobs_doh):
+    c = plt.Circle((blobs_doh[cnt][1], blobs_doh[cnt][0]), blobs_doh[cnt][2], color='white', linewidth=2, fill=False)
+    ax.add_patch(c)
+    cnt = cnt + 1
+plt.show()
+
+ +
+
+
+ +
+
+ + +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+
+

Particle Tracking

+
+

Now that we have learned several image processing techniques, we are ready to put them together in an application. In physics, there is an experiment called the Monopole Ion Trap that uses electric fields to trap particles as show below.

+

alt text

+

The basic priciple is that the particle is attracted to and repeled by the rod at the top of the image. In the image above, we have a very stable, well behaved, trap in which the ion just goes back and forth between two locations. However, under certain curcumstances, the particle may start to behave erratically, as shown below.

+

alt text

+

We would like to track the particle so that we can study its position and velocity.

+

Lets start by importing the two movies shown above into python. We have saved each movie, image by image, inside of folders on here. So we will import them as follows:

+ +
+
+
+
+
+
In [146]:
+
+
+
import os
+import requests
+
+files_path = [f'https://github.com/tahumada/tahumada.github.io/blob/master/PAARC/P1%20-%20429V0{i:02}.gif?raw=true'.format(i) for i in range(20)]
+
+# downloading the data
+folder_location = "P1"
+os.system('mkdir '+ folder_location)
+
+for i in range(20):
+    img_data = requests.get(files_path[i]).content
+    with open(folder_location+files_path[i][files_path[i].rfind('/'):-9], 'wb') as handler:
+        handler.write(img_data)
+print('Data dowloaded, check if there is a folder called P1')
+    
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
Data dowloaded, check if there is a folder called P1
+
+
+
+ +
+
+ +
+
+
+
In [149]:
+
+
+
# we import the operating system library OS to help us import many files at once
+import glob 
+
+folder_location = "./P1"
+#the following line will navigate python to the correct foler. chdir stands for change directory.
+files = glob.glob('P1/*.gif')
+print(files[:3])
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
['P1/P1%20-%20429V009.gif', 'P1/P1%20-%20429V008.gif', 'P1/P1%20-%20429V018.gif']
+
+
+
+ +
+
+ +
+
+
+
In [154]:
+
+
+
# use the function io.imread from skimage to show the first element of the list
+
+plt.imshow(io.imread(files[0]))
+
+ +
+
+
+ +
+
+ + +
+ +
Out[154]:
+ + + + +
+
<matplotlib.image.AxesImage at 0x7fa03ecd9b38>
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Now is a good time to notice that we don't actually need the entire image to do this computation. The only thing we really need is the region the particle travels within, as shown below

+

alt text

+

This is called the Region of Interest (ROI) of an image so we will crop every single image as we import it. Lets do that by importing a test image and checking how we want to crop it:

+ +
+
+
+
+
+
+

Exercise 11: Cropping 2

Find the correct copping location by chaning the slice location

+ +
+
+
+
+
+
In [155]:
+
+
+
test_image = io.imread(files[0])
+plt.imshow(test_image[210::], cmap = cm.gray)
+
+ +
+
+
+ +
+
+ + +
+ +
Out[155]:
+ + + + +
+
<matplotlib.image.AxesImage at 0x7fa03eb73cf8>
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Now that we know where we want to crop the images, we can do so automatically for all of the images in the folder

+ +
+
+
+
+
+
In [156]:
+
+
+
# the following line creates an empty list that we will populate with the images as we import and crop them. 
+#That is, ROI is a list of matrices, each one representing an image.
+ROIs = []
+
+# the following for-loop imports the images
+for image in files:
+    ROIs.append(io.imread(image)[210::])
+
+# to make sure we are doing things correctly, lets see what the 17th image in the list is
+plt.imshow(ROIs[16], cmap=cm.gray)
+
+ +
+
+
+ +
+
+ + +
+ +
Out[156]:
+ + + + +
+
<matplotlib.image.AxesImage at 0x7fa03df4fbe0>
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Looks good. Okay, now that we have all of the images imported, we want to run a blob finding algorithm that finds the position of the blob in each of the images. However, there are "specles" in the background, so make sure that your blob finding parameters are set correctly.

+ +
+
+
+
+
+
+

Exercise 12: Particle Tracking

The goal is for you to use the examples we have provided above to write your own code to systematically find the particles in the ROI list. A general outline of the code is provided below, but if you need further help feel free to ask.

+

general outline:

+
    +
  1. choose one of the images in the ROI list to test your parameters on
  2. +
  3. apply one of the blob finding techniques to the image (take a look at earlier examples if needed)
  4. +
  5. make a for-loop that applies this technique to all of the images in ROI and collects all of the outputs needed
  6. +
+ +
+
+
+
+
+
In [38]:
+
+
+
#student solution goes here
+
+ +
+
+
+ +
+
+
+
In [157]:
+
+
+
#instructor solution
+
+particles = []
+
+for image in ROIs:
+    blob = blob_log(image, min_sigma = 5, max_sigma=10, num_sigma=2, threshold=.1)
+    particles.append(blob)
+    
+#print(particles)
+
+ +
+
+
+ +
+
+
+
+

We should now have a list of particle locations and sizes. Note that the size information is not important to this application, so we can get rid of it. In general, we find it easier to work with big complicated lists using numpy, so first we will convert the list into a numpy array, and then clean it up.

+ +
+
+
+
+
+
In [158]:
+
+
+
#the following line converts the list into a numpy array
+particles = np.array(particles)
+#the following line cleans up array to make it look nicer
+particles = particles[::,0]
+#this shows us what they array looks like.
+print(particles)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
[[223. 211.   5.]
+ [217. 210.   5.]
+ [187. 206.   5.]
+ [174. 203.   5.]
+ [222. 211.   5.]
+ [123. 195.   5.]
+ [136. 197.   5.]
+ [215. 210.   5.]
+ [164. 202.   5.]
+ [198. 207.   5.]
+ [207. 208.   5.]
+ [150. 200.   5.]
+ [200. 208.   5.]
+ [229. 212.   5.]
+ [226. 212.   5.]
+ [209. 209.   5.]
+ [229. 212.   5.]
+ [189. 206.   5.]
+ [176. 204.   5.]
+ [227. 212.   5.]]
+
+
+
+ +
+
+ +
+
+
+
+

Data Analysis

Great, using a ROI made this computation faster, and it made sure that the particle was easy to find. Unfortunately it also introduced a small offset error in the verticle position of the particle. This can be seen by taking a look at the picture below:

+

alt text

+

To correct for this error we simply have to add an offset to the y position of the particle list.

+ +
+
+
+
+
+
In [159]:
+
+
+
for n, blob in enumerate(particles):
+    particles[n] = np.add(blob, [210,0,0])
+print(particles)
+
+ +
+
+
+ +
+
+ + +
+ +
+ + +
+
[[433. 211.   5.]
+ [427. 210.   5.]
+ [397. 206.   5.]
+ [384. 203.   5.]
+ [432. 211.   5.]
+ [333. 195.   5.]
+ [346. 197.   5.]
+ [425. 210.   5.]
+ [374. 202.   5.]
+ [408. 207.   5.]
+ [417. 208.   5.]
+ [360. 200.   5.]
+ [410. 208.   5.]
+ [439. 212.   5.]
+ [436. 212.   5.]
+ [419. 209.   5.]
+ [439. 212.   5.]
+ [399. 206.   5.]
+ [386. 204.   5.]
+ [437. 212.   5.]]
+
+
+
+ +
+
+ +
+
+
+
+

The final step is to turn these pixel locations into measurements of distance between the particle and the center of the rod. To do this, we will use the usual distance formula:

+

alt text

+

where (y_2, x_2) is the location of the center of the rod and (y_1, y_2) is the location of the particle. From previous measurements, the experimenters know that the center of the rod is approximately at

+

y_2 = 83

+

x_2 = 137

+

so we can change all of the particle location data to particle distance data as follows:

+ +
+
+
+
+
+
In [160]:
+
+
+
distances = []
+for particle in particles:
+    distance = np.sqrt((83 - particle[0])**2 + (137-particle[1])**2)
+    distances.append(distance)
+    
+distances = np.array(distances)
+#print(distances)
+
+ +
+
+
+ +
+
+
+
+

Great, so now we have the the distances of the particles from the center of the rod for each movie. The experimenters also know two important pieces of information.

+
    +
  1. the camera was taking 2360 pictures per second (FPS), so the time between each image is 1/2360 seconds.
  2. +
  3. the distance between each pixel 5.9 micron = .0059 millimeters (mm)
  4. +
+

we can use this information to make a plot of the particle's distance as a function of time with proper units.

+ +
+
+
+
+
+
In [161]:
+
+
+
time = np.linspace(0,len(distances)/2360, len(distances) )
+distances = distances*.0059
+plt.plot(time,distances)
+plt.xlabel('time(s)')
+plt.ylabel('distance(mm)')
+
+ +
+
+
+ +
+
+ + +
+ +
Out[161]:
+ + + + +
+
Text(0, 0.5, 'distance(mm)')
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Congratulations!

You just did particle tracking. Now we'll quickly demonstrate how to find the velocity of the particle.

+

Recall that the definition of velocity is simply distance/time. Since we know that the time between pictures is 1/2360 seconds, all we have to do is calculate the distance the particle moved between each frame.

+ +
+
+
+
+
+
In [162]:
+
+
+
velocities = []
+for n in range(len(distances)):
+    if n < (len(distances)-1):
+        velocity = (distances[n+1] - distances[n])*2360
+        velocities.append(velocity)
+#print(velocities)
+
+ +
+
+
+ +
+
+
+
+

Sometime is it useful/interesting to see the velocity data in a "phase diagram", which is just a plot of the position vs the velocity:

+ +
+
+
+
+
+
In [163]:
+
+
+
plt.scatter(distances[:-1:],velocities, )
+plt.xlabel('distance(mm)')
+plt.ylabel('velocity(mm/s)')
+
+ +
+
+
+ +
+
+ + +
+ +
Out[163]:
+ + + + +
+
Text(0, 0.5, 'velocity(mm/s)')
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Bonus Material

+
+
+
+
+
+
In [52]:
+
+
+
# to achieve a better resolution we need more points. 
+# Let's use some lines 
+
+number_of_points = 100
+x_min,x_max = 5,9
+y_min,y_max = 3,5
+
+plt.vlines(x_min,y_min,y_max,color='r')
+plt.vlines(x_max,y_min,y_max,color='b')
+plt.hlines(y_min,x_min,x_max,color='g')
+plt.hlines(y_max,x_min,x_max,color='k')
+
+ +
+
+
+ +
+
+ + +
+ +
Out[52]:
+ + + + +
+
<matplotlib.collections.LineCollection at 0x13d436470>
+
+ +
+ +
+ +
+ + + + +
+ +
+ +
+ +
+
+ +
+
+
+
+

Perfect! +But how do we fill the inside in a more effective way? We do not want to specify point by point or line by line. +Let's use a matrix! But let's start slow

+ +
+
+
+
+
+
In [ ]:
+
+
+
# number of points in each dimention 
+# nx: dimention in x axis, ny: dimention in y axis
+nx, ny = (2, 2)
+
+x = np.linspace(0, 1, nx)
+print('array x: ',x)
+y = np.linspace(4, 5, ny)
+print('array y: ',y)
+xv, yv = np.meshgrid(x, y)
+print('Can you describe what np.meshgrid does?')
+# it gives a vector coordinate for each point in the x and y axis 
+print(xv)
+print(yv)
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
# for dots and lines
+
+# in this case each point represents a pixel!
+plt.scatter(5,3,c='r')
+plt.scatter(7,3,c='b')
+plt.scatter(9,3,c='g')
+plt.scatter(5,4,c='r')
+plt.scatter(9,4,c='g')
+plt.scatter(5,5,c='r')
+plt.scatter(7,5,c='b')
+plt.scatter(9,5,c='g')
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
# we do not have to specify a color for each point.
+# we can use an array that points to a specific color in a colormap
+
+#cm for colormap
+cm = plt.cm.get_cmap('RdYlBu')
+xy = np.arange(20)
+z = xy
+print('color array:',z)
+# the color is an array! that takes a color from cmap
+sc = plt.scatter(xy, xy, c=z, vmin=0, vmax=20, s=35, cmap=cm)
+plt.colorbar(sc)
+plt.show()
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
# let's crop some images and average/median them
+images = [] 
+l = 50
+# Selecting some regions in the image
+for i in range(5):
+  images.append(insect[0+i*l:50+i*l,0+i*l:50+i*l])
+
+images = np.asarray(images)
+# we need to specify the 'axis' to let the function know which dimention to operate; do we want to operate the lines, the rows or the entire images? 
+image_median = np.median(images,axis=0) 
+image_average = np.average(images,axis=0)
+for image in images:
+  plt.figure()
+  plt.imshow(image)
+  plt.title('Image #%d'%i)
+plt.figure()
+plt.imshow(image_median)
+plt.title('Median')
+plt.figure()
+plt.imshow(image_average)
+plt.title('Averaged')
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
insect[0:50,0:50]
+
+ +
+
+
+ +
+
+
+
In [ ]:
+
+
+
 
+
+ +
+
+
+ +
+
+
+
+

Contours

+
+
+
+
+
+
In [ ]:
+
+
+
# There are functions that can fill the spaces for us!
+
+number_of_points=100
+# creating an array to achieve a better resolution
+x = np.linspace(-5,5,number_of_points)
+y = np.linspace(-5,5,number_of_points)
+xx, yy = np.meshgrid(x, y, sparse=True)
+z = np.sin(xx**2 + yy**2) / (xx**2 + yy**2)
+
+h = plt.contourf(x,y,z)
+plt.show()
+
+print('The information needed to construct an image is in z:',z)
+
+ +
+
+
+ +
+
+
+
+

Basically, all the information of an image is contained in the 'z' array. Each row is a horizontal line and each value within these vectors is spatially linked to the vertical axis and its value is the color.

+ +
+
+
+
+
+ + + + + + diff --git a/old_website/PAARC/PARC_image_analysis.ipynb b/old_website/PAARC/PARC_image_analysis.ipynb new file mode 100644 index 0000000..96d26a0 --- /dev/null +++ b/old_website/PAARC/PARC_image_analysis.ipynb @@ -0,0 +1,2879 @@ +{ + "cells": [ + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "This lecture is based on two GRADMAP resources originally written by Tomas Ahumada, Laura Lenkic, Edgar Perez, Alex Dittman, and Ramsey Karim, among other gradute students at the Astronomy and Physics departments at the University of Maryland" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "dxSuBGzuuKQ1" + }, + "source": [ + "# **Introduction to Image Processing**\n", + "\n", + "Image processing is a very useful tool for scientists in the lab, and for everyday uses as well. For, example, an astronomer may use image processing to help find and recognize stars, or a self driving car may use it to stay in the correct lane.\n", + "\n", + "This lecture will teach you some of the fundamental tools of image processing so that you can use it in your own studies/applications.\n", + "\n", + "# **Fundamentals**\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "IjU3hTl8EdOO" + }, + "source": [ + "# What is an image, *really*?\n", + "\n", + "![alt text](https://snipboard.io/xf3naG.jpg)\n", + "\n", + "*Figure 1:* Felix the cat\n", + "\n", + "As we can see from Felix the cat, images are just a coordinate system in which each block (x,y) has a value associated to it. These values are later interpreted as a color.\n", + "\n", + "For example, in Figure 1, we would be describing two colors (black and white) and we could describe them using 1's and 0's. In general, 0 is taken to mean the absence of color, which means that 0 = black and 1 = white. Putting these ideas together, we can see that each point in an image requires three peices of information:\n", + "\n", + "\n", + "1. x - position\n", + "2. y - position\n", + "3. color (1 or 0)\n", + "\n", + "So if we were instructing a computer to produce even a small image, we would need to give it a large list of numbers.\n", + "\n", + "---\n", + "![alt text](https://i.imgur.com/fU7Yfre.png)\n", + "\n", + "*Figure 2:* Checker board pattern\n", + "\n", + "For example, suppose we wanted the computer to produce the checkboard patter that we see in Figure 2. If we make a list of the information the computer needs, we can format it like (x-coordinate, y-coordinate, color) and the whole list would be\n", + "\n", + "(1,1,1), (1,2,0), (1,3,1), (2,1,0), (2,2,1), (2,3,0), (3,1,1), (3,2,0), (3,3,1)\n", + "\n", + "---\n", + "![alt text](https://i.imgur.com/ZraCTP1.png)\n", + "\n", + "*Figure 3:* Images\n", + "\n", + "To make the image making process easier, people decided to ditch the traditional coordinate system and use matricies instead! However, because both systems *work* and because sometimes one method can be more convenient than the other, both still exists, but they have different names. \n", + "\n", + "When you use a coordinate system to instruct the computer, that's a **scatter plot**. When you use a matrix, that's called an **image**.\n", + "\n", + "To instruct the computer to make a scatter plot of the 9 square checkerboard, we had to give it 3x9=27 numbers. To insturct it to make an image of the checkerboard, we only have to give it 9 numbers, but they have to be in the correct *order*. Specifically, the order looks like this:\n", + "\n", + "\n", + "\n", + "```\n", + "image = [ [1, 0, 1],\n", + " [0, 1, 0],\n", + " [1, 0, 1] ]\n", + "```\n", + "\n", + "Each location that we assign a value to is considered a pixel. Thus, we have created an image that is 3 pixels wide and 3 pixels tall, and it has a total of 9 pixels.\n", + "\n", + "When we watch youtube videos at 1080p, we are actually looking at pictures that are 1080 pixels tall and 1920 pixel wide. These images have a total of 1080x1920 = 2,073,600‬ pixels. If we round to the nearest million, there are approximately 2 million pixels in each image. This would be considered a 2 Mega Pixel (MP) image. This is the same number phone manufactures using when talking about how many megapixels their newest device has.\n", + "\n", + "\n", + "\n", + "\n", + "\n", + "---\n", + "\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "rNVRtCrMU6Hu" + }, + "source": [ + "# Exercise 1: Making images\n", + "![alt text](https://imgur.com/uBM3KC6.png)\n", + "\n", + "Can you make the image matrix for the checker board that is shown above?\n", + "\n", + "For this we will:\n", + "1. create a matrix\n", + "2. plot the image using plt.imshow()\n", + "3. change the colormap\n" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "10LLvTAAYFBq" + }, + "outputs": [], + "source": [ + "# set exercise1 equal to your matrix\n", + "#SOLUTION:\n", + "exercise1 = [[0,1,0],\n", + " [1,0,1],\n", + " [0,1,0]]" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "ncm0-8LgYd9G" + }, + "source": [ + "We can check if we got this right by having the computer make the image. To do this, we will use matplotlib's \"plt.imshow\" function, which takes in *matricies* and turns them into images." + ] + }, + { + "cell_type": "code", + "execution_count": 35, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 287 + }, + "colab_type": "code", + "id": "131q3x7vY253", + "outputId": "fab93553-9723-4469-e8ef-e060ad2779e2" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 35, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "import matplotlib.pyplot as plt\n", + "import numpy as np\n", + "\n", + "plt.imshow(exercise1)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "we9oScWgH6R8" + }, + "source": [ + "Now, we have gotten a figure that *looks* like the correct board, but the colors are wrong. To fix this, we need to tell the computer that we want to see the image in grayscale. We do this by inserting a \"cmap\" into the plt.imshow function. \"cmap\" stands for \"color map\" and in this case, we will set it to grayscale" + ] + }, + { + "cell_type": "code", + "execution_count": 36, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 287 + }, + "colab_type": "code", + "id": "rojd6LQTIWqB", + "outputId": "904f3217-d513-40ca-ba5a-5903671d4526" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 36, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from matplotlib import cm\n", + "plt.imshow(exercise1, cmap=cm.gray)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "VHsXz1iOduap" + }, + "source": [ + "If the output of the code above does not match the chekerboad in the exercise try again or ask for help. Notice how the order of the numbers is important to final image." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exercise 1, part II: \n", + "\n", + "1. Can you show what would happend to the plot if instead of ones and zeros you replace one number with a 2? \n", + "2. Now show what happens if you change multiple entries to different numbers.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 38, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# solution\n", + "# part 1\n", + "exercise1b1 = [[0,2,0],\n", + " [1,0,1],\n", + " [0,1,0]]\n", + "\n", + "plt.imshow(exercise1b1, cmap=cm.gray)" + ] + }, + { + "cell_type": "code", + "execution_count": 41, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 41, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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+ "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#part 2\n", + "\n", + "exercise1b2 = [[0,3,0],\n", + " [2,7,1],\n", + " [0,1,0]]\n", + "\n", + "plt.imshow(exercise1b2, cmap=cm.gray)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "0PG75Q0Gf7NZ" + }, + "source": [ + "# Exercise 2: Understanding matrixes with scatter plots" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "tjkALS6cgIvX" + }, + "source": [ + "Other plotting tools like plt.scatter, helps us show data in very intuitive ways. " + ] + }, + { + "cell_type": "code", + "execution_count": 6, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 283 + }, + "colab_type": "code", + "id": "OSwE5MSogfPC", + "outputId": "93deac69-6f79-4b38-ab98-d382a93baa4c" + }, + "outputs": [], + "source": [ + "%matplotlib inline\n", + "import numpy as np\n", + "\n", + "N=100 #number of data points\n", + "np.random.seed(0) #fix Random number generator seed for consistent data\n", + "\n", + "#make some 'fake' data to plot\n", + "altitude = 2**np.random.uniform(low=0.0, high = 5.0, size=N) \n", + "temperature = 300.0 - 5*altitude**0.5 + np.random.normal(loc=20,scale=10,size=N)" + ] + }, + { + "cell_type": "code", + "execution_count": 42, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 1.0, 'remember this is fake data!')" + ] + }, + "execution_count": 42, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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xwF2SPg7MAP60ZrUJYO+a53uly3qi0ZxGFfXNPY0q9UbLejVHUrNeVE5Wm1mr8ux9NEPSWPp4FDgKuEfSe4GjgbdFxOaat1wJvCPthXQo8FREPLzNhnNQGXuwfsMmpiu5K1rld7szfvZy5tBWk9VOSptZM3leKewBnJfmFaYBl0TEtyRtBB4AblJS8V4REZ8ArgGOBVYDzwHvyrFsQFI5nn7lStat31BdtimC0ZHpLVXgzUYs92qOpFYm6fMIajObjKLBvD9lMT4+HkuWLGnrvfWVY72ZY6PcuODItrbTalDppcPOur5hU1PW/TWz8pO0NCLGG702tDfZaTbvUUXWJO1kPX+KyElpM5vM0AaFqSrBrEnaslWyHkFtZpMZ2qAwWSXYSi+hslWy3RpBbWaDacqgIOllkr4r6a70+SslfSz/ouWr2bxHu75wpKV8QNkqWd9PuXzcW8x6acpEs6TvA/OBL0fE3HTZXRFx0KRv7IFOEs3QvZvb+CY5lpeydWSwcpgs0ZwlKNwWEa+RtKwmKCxPRyr3VadBwazo3FvM8tBp76PHJL2UZF44JB1P3XxEZpaPsnVksPLLMnjtg8BXgAMlTQD3ASfnWiozAzyFifXepEEhHY38gYh4vaQdgWkR8UxvipYPt/9bmTSak6vIHRms/CYNChGxSdLh6eNf9KZI+Wk0xcOHL17Okgee4Mx5B/e5dMXjANp/rUxhYtYNWZqPlkm6ErgUqAaGiLgit1LlpNHo48qd1cZfsltX/9FaqVCLWPl6jqTi6NUcWmaQLSjsADwO1HZ1CKB0QaFZci6A0y5ZwYcvXt6VSnnRsgnmX7aieuOdiXXrmX/ZCmDbCrWola9v3GM2nKYMChGR+2ylvdIsaQfJ7KjQnUr5jKtWbnUnNkjuzHbGVSu32WZRK1/3ejEbTllGNJ8r6Wv1P70oXLfNP/oAlGG9Tie0e/K5DZmXF7XyLdv0HWbWHVnGKXwLuDr9+S7wIuDZPAuVl3lzZ3LyoftkCgy9qpSLWvmWbfoOM+uOKYNCRFxe83MhcCLQcCRcGZw572DOPmlOde6fyh3W6nVSKY+NjmReXtTKt3aOJEj+TpUrKM+9Yza42pkldX/g17pdkF6aN3cmNy44kvvOeiOfOXF21yvl09/0CkambR1sRqaJ09/0ioZlKeoEdfPmzqwGrfqciwOD2WCaMtEs6RnSKS5SjwB/k1uJeiyPfuCtbrNRl8OidFPNMxFelH00sy2y9D7auRcF6ac8+oF3ss0idVPNKxFepH00sy2y9D76bpZlZVL0+emLdIvPvBLhRdpHM9uiaVCQtIOk3YDdJe0qabf0ZxZQ2lO5yhnqxLr1BMVsIy9SN9W8EuFF2kcz22Ky5qM/Bf4S2BNYCtWenE8Dn8+5XLkp6mCxWkWaGTOvuXfa3UfnIWwQFel73TQoRMRngc9K+vOI+NcelilXZThDLdrMmHnkXNrZR+chbBAV7XudZZzCv0o6SNKJkt5R+elF4fJQ1MFitYrcTbVb2tlH5yFsEBXte52lS+rHgSOAlwPXAG8Afgicn2vJclK0s/BmhmFmzFb3sQxXeWatKtr3OsvgteOB3wUeSSfHmw3skmupcjQMZ+GDqgxXeWatKtr3OsvU2esjYrOkjZJeBDwK7J1zuXI1DGfhnegk6ZVnwqzfV3lFSgba4Oj397pelqCwRNIY8FWSXkjPAjdN9SZJOwA3ANunn3NZRHxc0qkkvZpeCsyIiMfS9QV8FjgWeA74k4i4vfVdys8wVAqdJL3yTpj14y5klWM+sW49YsvQ/n4nA21wFO3ueoqI5i8mFfVeEbEmfT4LeFFE3DHlhpP37hgRz0oaIclDfAh4HngS+B4wXhMUjgX+nCQoHAJ8NiIOmewzxsfHY8mSJVMVpSvqKzxIovmgNT0ddtb1DbuKzhwb5cYFRzZ4R3feW0SNjnm9su6bDTdJSyOi4cSmU92jOSRdAxycPr8/64dGEm0qU2yPpD8REcvSQtW/5Tjg/PR9N0sak7RHRDyc9TPbsWjZBKdfuZJ165N7HUgQkfyz10brMoxv6IZOkl5FS5h1qtExr1fWfTNrJkui+XZJr2ln45KmS1pOkoe4LiJumWT1mcCamucP0mDktKRTJC2RtGTt2rXtFKtq0bIJ5l+6ohoQIAkIsO1I50Gr8JrpJOlVtIRZp7Ic27Lum1kzWYLCIcBNku6VdIekOyVN2XwEEBGbImIOsBfwWkkHdVLYdJtfiYjxiBifMWNGR9taeO0qNmxu3nxW21d40Cq8ZjqZ1qKo94Zo11THtsz7ZtZMlkTz0Z1+SESsk7QYOAa4q8lqE2zdq2mvdFluWmkSKVoPgXZkSZR3kvQqWsKsU42OeSXZXN+8aDYoskyd/YCkw4H9I+JcSTOAnaZ6X7rehjQgjAJHAZ+e5C1XAqdKuojk6uSpvPMJzebfqTVNYt8FV7Pn2ChvefVMFt+ztpQVXis9gzrpsjtI3X0HLciZZZF1RPM4cABwLknC+ALgsCneugdwnqTpJM1Ul0TEtyT9BfDXwG8Ad0i6JiLeSzJa+lhgNUmX1He1t0vZLFo2wXO/2jjlerV3HLt86URpexsNS6K82wYpyJllkaX56M3AXOB2gIh4SNKUN95Ju63ObbD8c8DnGiwP4IMZytOxjy26kwtv/hmNsgmV3kfTpWpAqChzJTosiXIz60yWRPOv0go7ACTtmG+R8rVo2UTTgDBzbJT7PvVG7j/rjWxuMn6jrJXosCTKzawzWYLCJZK+DIxJeh/wHZLRzaW08NpVDQMCbF3hD1ol2s+eQUW/052ZbZFl6ux/Ai4DLgdeBvxDme+vMNmZfm2FP2jdK/s1EWAZ7nRnZltkySkA3AmMkjQh3ZlfcfLXrMeRYKsKfxB7nvQjaeoEt1m5THmlIOm9wK3AH5JMo32zpHfnXbC8NLoCEHDyofu4ksqBE9xm5ZLlSmE+MDciHgeQ9GLgR8DX8ixYXrJeAbTSr38YZk9tVzv3Yvbf06x/sgSFx4Fnap4/ky4rrSzNKFmbPYp2f9WiaDblNEyem/Hf06y/svQ+Wg3cIun0dCDbzcBPJP2VpL/Kt3j9k7XZo2j3Vy2C2uQyJAGhMifuVAlu/z3N+ivLlcK96U/FN9PfUw5gK7OszR5uM99Wo4q9Ml/QVPce8N/TrL+yzH10Ri8KUjRZJ8Brp8180HVSsfvvadZfWXofjUv6hqTb06mz78g6dXaZZe3XP2jjGbqhk4F//ntaVh4UmY8szUcXkvRAuhPYnG9xiiVLQnoQxzN0qpNpxv33tCzcISE/WYLC2oi4MveSlJhn0txauxV7fVfUs0+a47+rNeRBkfnJEhQ+Lunfge8Cz1cWRsQVuZXKSq/VQOkzP2uFOyTkJ0tQeBdwIMl9FCrNRwE4KAyJXgwm85mftcIdEvKTJSi8JiKc5RtSvTqD95mftWIQbo9bVFkGr/1I0stzL4kVUq8Gkw3aVOWWr37N+jsMslwpHAosl3QfSU5BJDdKe2WuJesxz7fTWK/O4H3mZ61yB498ZAkKx+Reij5zkrO5XrXduiuqWTFkGdH8gKTDgf0j4lxJM4Cd8i9a7zjJ2Vw3z+CnuhrzmZ9Z/00ZFNJJ8MaBA4BzSXohXQAclm/ReqfRmTA4yQndO4Mv+9WYmxdtWGRpPnozMBe4HSAiHpI0MJPhLVo2sc3UzhVOcia6cQZf5quxsgc0s1Zk6X30q4gI0npT0o75Fqm3Fl67qmFAqL89p3WmzF1OPZ23DZMsVwqXSPoyMCbpfcC7ga/mW6zeaVYpBVufBdY3H/zOgTNYfM9aNydkVObBRmUOaK1wE5lBtiuFGcBlwOUkeYV/APbKs1C91KxSmlmzvPamMUHSfHDBzT/b6vlHr7jTszROoh+zn3ZrFs1hGEPR6Dvu7/RwyhIUjoqI6yJifkR8JCKuA96Qd8F6JUtl1aj5oJ6bEybX68FG3azkhmE6bzeRWUXT5iNJfwZ8APjNuvsn7AzcmHfBeiVL75qszQTdaE4Y5Ev4XnY57WZiexjGUAxLE1m9Qf5/a9dkOYX/BL4NfApYULP8mYh4ItdS9dhUlVWz9vB6Yy8c6agc7uXSPd2u5AZ9DEWZcz7t8v9bY02bjyLiqYi4PyLeFhEP1PxkCgiSdpB0q6QVklZKOiNdvq+kWyStlnSxpBeky7dPn69OX5/VjR3shkbNB408+8uNHbXB+hK+e4YhD9BNw9BEVs//b41lySm063ngyIiYDcwBjpF0KPBp4OyI2A94EnhPuv57gCfT5Wen6xVCo/bwF45s+6fbsDk6+kIN6yV8HoaxkuvEME4w5/+3xrJ0SW1LOrbh2fTpSPoTwJHAH6XLzwNOB74IHJc+hqS30+clKd1O39U3H+y74OqG63XyhRrGS/i8DEMeoNsGvYmsnv/fGsstKABImg4sBfYD/g24F1gXERvTVR4EKt/CmcAagIjYKOkp4MXAY3XbPAU4BWCfffbJs/iTyuML5ZlCu2vYKjlrjf/fGsuz+YiI2BQRc0jGNbyW5A5unW7zKxExHhHjM2bM6LiM7cqjeaIXl/Dd6rtvVnbD2GSWRa5XChURsU7SYuB1JCOjt0uvFvYCKrXSBLA38KCk7YBdgMfzLlu7I5Xzap7I8+zWvS3MtuaryW3lFhTSKbY3pAFhFDiKJHm8GDgeuAh4J/DN9C1Xps9vSl+/Pu98QqNK8oKbf1Z9fapKs1tfqF71lS7zpHRm1ht5XinsAZyX5hWmAZdExLck3Q1cJOlMYBlwTrr+OcB/SFoNPAG8NceyAa2NVB6Es/dmSfCJdevZd8HVTsZaqXkgWnfk2fvoDpIpt+uX/5Qkv1C//JfACXmVp5FejlRuppdn75MNwqudCgLcnGTl4qbR7sk10Vx0WXsK5dlFrRt9pbMmj7MMwlu/YRNnXLXSyWgrFQ9E656hDgpZKsm8u6h1OvK2lYnf6ntbNPPkcxu6OlumezxZ3jwQrXuGOig06pL2x4fu09Muap12bW31DGne3JncuOBI7jvrjVtNDz6ZTs64PCWz9YKnNemennRJLbJ+d0nrtGtrJ2dIjQbvtPo5U3GPJ+sFD0TrnqEPCkXQSWDqZGR1o4D0i+c3sm79hra218gwXNa710v/eVqT7nFQKKBWKplOz5DqA1J9L45Wt1cvj+lAilQJu9dLcfT7qn9QDHVOoYhabYPv9lD9bm+v29OBFC1H4V4vNmh8pVAw7bTBd/sMqZvb6/ZlfdFyFMPQPGbDxUGhYLpZyRSlmaWbQaZolbCnX7ZB4+ajgulW17qiNbN0S9G6HvpmPjZoHBQKpluVzKC2dRetEvb0y1t4kOJgUEFubNaW8fHxWLJkSb+L0XXdaPbZd8HVNDuygr732ulEUZrF8lam/WzWa21YA2TRSVoaEeMNX3NQGEyHnXV908nvKvxPW1xlq2Sbfd9mjo1y44Ij+1Aim8xkQcHNRwMq6+R3ZW9OGlRla/4rWgcAa5+DwoDKOvmd/2mLqWyVbNE6AFj7HBQGWJbJ7/xPW0xlq2SL1gHA2uegMCT8T1suZTte7oU1ODx4bUh4wrByKePx8txDg8G9j8zMhsxkvY98pWBm1idFHIvioGBm1gdFnXbdQWFAFfEMxMy2KNqMvxUOCgOoqGcgZrZFUceiuEvqACrbaFizYVTUsSgOCgOoqGcgZrZFUceiOCgMoKKegZjZFkUd8OecwgCaf/QBDWfY7PcZiJltrYgD/nK7UpC0t6TFku6WtFLSh9LlsyXdJOlOSVdJelHNez4qabWkVZKOzqtsg66oZyDWnG9QY0WR24hmSXsAe0TE7ZJ2BpYC84DzgI9ExPclvRvYNyL+XtLLgf8CXgvsCXwHeFlEbGryER7RbAOhbPdOsPLry/0UIuLhiLg9ffwM8GNgJvAy4IZ0teuAt6SPjwMuiojnI+I+YDVJgDAbaO4tZkXSk0SzpFnAXOAWYCVJAAA4Adg7fTwTWFPztgfTZfXbOkXSEklL1q5dm1eRzXrGvcWsSHIPCpJ2Ai4H/jIingbeDXxA0lJgZ+BXrWwvIr4SEeMRMT5jxozuF9isx9xbzIok16AgaYQkIFwYEVcARMQ9EfF7EfFqkjvdlvsAAAd7SURBVBzCvenqE2y5agDYK11mNtCK2l/dhlOevY8EnAP8OCL+uWb5r6W/pwEfA76UvnQl8FZJ20vaF9gfuDWv8pkVhXuLWZHkOU7hMODtwJ2SlqfL/hbYX9IH0+dXAOcCRMRKSZcAdwMbgQ9O1vPIbJAUsb+6DafcgkJE/BCa3jP+s03e80ngk3mVyczMJudpLszMrMpBwczMqhwUzMysyhPimdlQ810Kt+agYNZlrmTKw3cp3Jabj8y6qFLJTKxbT7ClkvGsp8Xkeae25aBg1kWuZMrF805ty0HBrItcyZSL553alnMKZl2059goEw0CQDcrGecsuqffdyls51jmffx9pWDWRXlPbuecRXf1c96pdo5lL45/bnde6wXfec2KKM8zucPOur7hlcjMsVFuXHBkVz7DeqOdY9mt4z/ZndfcfGTWZXlObuecxeBo51j24vi7+cisRJwYHRztHMteHH8HBbMS8Q15Bkc7x7IXx9/NR2YlUmmWcu+j8mvnWPbi+DvRbGY2ZCZLNLv5yMzMqhwUzMysyjkFM7MuGJSR5g4KZmYdGqQpuN18ZGbWoUGaHddBwcysQ4M00txBwcysQ4M00txBwcysQ4M00tyJZjOzDg3SSHMHBTOzLshzdtxecvORmZlVOSiYmVmVg4KZmVU5KJiZWZWDgpmZVZX6fgqS1gIP1C3eHXisD8XJg/eluAZpf7wvxZTnvrwkImY0eqHUQaERSUua3TyibLwvxTVI++N9KaZ+7Yubj8zMrMpBwczMqgYxKHyl3wXoIu9LcQ3S/nhfiqkv+zJwOQUzM2vfIF4pmJlZmxwUzMysaqCCgqRjJK2StFrSgn6XpxOS7pd0p6Tlkpb0uzytkPQ1SY9Kuqtm2W6SrpP0v+nvXftZxqya7MvpkibSY7Nc0rH9LGNWkvaWtFjS3ZJWSvpQurx0x2aSfSnrsdlB0q2SVqT7c0a6fF9Jt6R12sWSXpB7WQYlpyBpOvAT4CjgQeA24G0RcXdfC9YmSfcD4xFRuoE4kn4beBY4PyIOSpf9P+CJiDgrDdi7RsTf9LOcWTTZl9OBZyPin/pZtlZJ2gPYIyJul7QzsBSYB/wJJTs2k+zLiZTz2AjYMSKelTQC/BD4EPBXwBURcZGkLwErIuKLeZZlkK4UXgusjoifRsSvgIuA4/pcpqEUETcAT9QtPg44L318Hsk/cOE12ZdSioiHI+L29PEzwI+BmZTw2EyyL6UUiWfTpyPpTwBHApely3tybAYpKMwE1tQ8f5ASf0lIvhD/I2mppFP6XZgu+PWIeDh9/Ajw6/0sTBecKumOtHmp8M0t9STNAuYCt1DyY1O3L1DSYyNpuqTlwKPAdcC9wLqI2Jiu0pM6bZCCwqA5PCJeBbwB+GDajDEQImmzLHO75ReBlwJzgIeBz/S3OK2RtBNwOfCXEfF07WtlOzYN9qW0xyYiNkXEHGAvkpaPA/tRjkEKChPA3jXP90qXlVJETKS/HwW+QfIlKbOfp+3AlfbgR/tcnrZFxM/Tf+DNwFcp0bFJ26svBy6MiCvSxaU8No32pczHpiIi1gGLgdcBY5Iqt03uSZ02SEHhNmD/NFv/AuCtwJV9LlNbJO2YJs+QtCPwe8Bdk7+r8K4E3pk+fifwzT6WpSOVCjT1ZkpybNJk5jnAjyPin2teKt2xabYvJT42MySNpY9HSTrM/JgkOByfrtaTYzMwvY8A0u5n/wJMB74WEZ/sc5HaIuk3Sa4OALYD/rNM+yLpv4AjSKb+/TnwcWARcAmwD8l05ydGROETuE325QiS5okA7gf+tKZNvrAkHQ78ALgT2Jwu/luStvhSHZtJ9uVtlPPYvJIkkTyd5GT9koj4RFoXXATsBiwD/jgins+1LIMUFMzMrDOD1HxkZmYdclAwM7MqBwUzM6tyUDAzsyoHBTMzq3JQMMsgnbV2d0ljkj5Qs3xPSZelj+e0MytnOrPnR7pZXrN2OSiYtWYMqAaFiHgoIiqDi+YApZiq2awZBwWzOpIWpRMRrmwwGeFZwEvTufoXSpol6a50FP0ngJPS106qvwJI15uVPv47ST+R9EPggJp1Xirpv9PP/4Gkvsx/Y8Nru6lXMRs6746IJ9LpBm6TdHnNawuAg9KJyyozdBIRv5L0DyT3wDg1fe30RhuX9GqSaVjmkPwP3k5yPwBIbtb+/oj4X0mHAF8gmT7ZrCccFMy29ReS3pw+3hvYv8vb/y3gGxHxHICkK9PfOwH/F7g0mdoHgO27/Nlmk3JQMKsh6Qjg9cDrIuI5Sd8DdmhzcxvZuol2qu1MI5k/f06bn2fWMecUzLa2C/BkGhAOBA6te/0ZYOcm761/7X7gVQCSXgXsmy6/AZgnaTSdDfcPANL7Adwn6YT0PZI0u/NdMsvOQcFsa/8NbCfpxyRJ5ZtrX4yIx4Eb06Txwrr3LgZeXkk0k8z1v5uklcCpJPcQJ72N5MXACuDbJNO+V5wMvEfSCmAlvqWs9ZhnSTUzsypfKZiZWZWDgpmZVTkomJlZlYOCmZlVOSiYmVmVg4KZmVU5KJiZWdX/BzYPmGAzTDBYAAAAAElFTkSuQmCC\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# use plt.scatter() to plot the arrays altitude and temperature\n", + "import matplotlib.pyplot as plt\n", + "plt.scatter(altitude, temperature)\n", + "plt.xlabel('altitude')\n", + "plt.ylabel(\"temperature\")\n", + "plt.title(\"remember this is fake data!\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now, what if in addition to altitude, we have data for X and Y positions:" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, + "outputs": [], + "source": [ + "x = np.random.uniform(low=0, high=10, size=N)\n", + "y = np.random.uniform(low=0, high=10, size=N)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "With a little extra legwork, we can make a 3D scatterplot in matplotlib showing at which positions we have data:" + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0.5, 0, 'altitude')" + ] + }, + "execution_count": 9, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = plt.figure().add_subplot(projection='3d')\n", + "ax.scatter(x,y,altitude)\n", + "ax.set_xlabel('X')\n", + "ax.set_ylabel('Y')\n", + "ax.set_zlabel(\"altitude\")" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It might also be useful to use colors to show the temperature measured at each data point. We can do this using:\n" + ] + }, + { + "cell_type": "code", + "execution_count": 164, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = plt.figure().add_subplot(projection='3d')\n", + "ax.scatter(x,y,altitude,\n", + " c=temperature, cmap='plasma')\n", + "ax.set_xlabel('X')\n", + "ax.set_ylabel('Y')\n", + "ax.set_zlabel(\"altitude\");" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "InNY3X4nI2X-" + }, + "source": [ + "Now the colors are specified using the temperature data. The above example uses the 'plasma' colormap, so high temperatures are in brighter more yellow colors, and cooler temperatures are darker blue/purple colors. You can read more about colormaps and see some of the other options [here](https://matplotlib.org/stable/tutorials/colors/colormaps.html).\n", + "\n", + "\n", + "But now, let's go back to 2D data for a moment. For example, we might have a thousands of measurements of stellar masses and radii and try to use a scatter plot to visualize them:" + ] + }, + { + "cell_type": "code", + "execution_count": 43, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'M')" + ] + }, + "execution_count": 43, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "N = 100000\n", + "M = np.random.normal(loc=1.4, scale=0.1, size=N)\n", + "R = M*12*np.random.power(4, size=N)*np.random.normal(scale=0.08,loc=1,size=N)\n", + "plt.scatter(R,M)\n", + "plt.xlabel('R')\n", + "plt.ylabel('M')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "It's almost imposible to make out any of the details! The points are so large they overlap entirely in most of the plot. Thankfully, there are other tools for visulizing large numbers of samples. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exercise 2, part 2\n", + "\n", + "1. Using this [tutorial](https://matplotlib.org/3.1.0/gallery/statistics/hexbin_demo.html), plot R and M and describe what you see. \n", + "2. Can you find what are the coordinates of the higgest density area? hint: you can look for the bin with the largest value.\n", + "3. Overplot a star at the position of the higgest density area.\n" + ] + }, + { + "cell_type": "code", + "execution_count": 45, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "hb = plt.hexbin(R, M, gridsize=50, bins='log', cmap='inferno')\n", + "plt.xlabel('R')\n", + "plt.ylabel('M')" + ] + }, + { + "cell_type": "code", + "execution_count": 54, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'M')" + ] + }, + "execution_count": 54, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "bin_number = hb.get_array() # where is the max\n", + "ind = np.argmax(bin_number)\n", + "pos = hb.get_offsets()\n", + "\n", + "hb = plt.hexbin(R, M, gridsize=50, bins='log', cmap='inferno')\n", + "plt.scatter(pos[ind][0],pos[ind][1],marker='*')\n", + "plt.xlabel('R')\n", + "plt.ylabel('M')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Images \n", + "Often times, we'll find ourselves plotting images, i.e. colors over a grid of positions, or similar data (e.g. temperature over a grid of x and y coordinates, which we can represent using color). If we have an image, we can use some of matplotlib's tools to load it in, e.g." + ] + }, + { + "cell_type": "code", + "execution_count": 55, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 55, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "from PIL import Image #need this to grab an image from a URL\n", + "import requests #this too\n", + "img = Image.open(requests.get(\"https://science.nasa.gov/science-red/s3fs-public/styles/large/public/thumbnails/image/Hertz_Feb13.jpg\", stream=True).raw)\n", + "plt.gca().axis('off') #try commenting this line!\n", + "plt.imshow(img)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Wow, Paul (the head of NASA astrophysics) looks dapper! We can also try using different colormaps by first extracting just the black-and-white image. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Pop art exercise\n", + "Become a pop artist and emulate Andrew Warhola (a.k.a. Andy Warhol):\n", + "Use your favorite 6 colormaps (Google them!) and complete this fabulous collage. " + ] + }, + { + "cell_type": "code", + "execution_count": 58, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "imglum = img.convert('L') #extract just the brightness information from the image\n", + "fig, ax = plt.subplots(1,6, figsize=(16,4))\n", + "ax[0].imshow(imglum, cmap='gray')\n", + "ax[1].imshow(imglum, cmap='Reds_r')\n", + "ax[2].imshow(imglum, cmap='cool')\n", + "ax[3].imshow(imglum, cmap='viridis')\n", + "ax[4].imshow(imglum, cmap='jet')\n", + "ax[5].imshow(imglum, cmap='magma')\n", + "for i in range(6): ax[i].axis('off')\n", + "plt.subplots_adjust(wspace=0.0)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Some of these are not like the others...... In particular, 'cool' and 'jet' make him look a little less dapper.... This is largely because 'jet' and 'cool' don't just go from dark to light, but wiggle around a bit as well. This can potentially lead to misleading images, but the python default 'viridis', doesn't have this problem so you should be okay. Here are a few other discussions on colormaps and picking the right colormap for your data: [1](https://betterfigures.org/2015/06/23/picking-a-colour-scale-for-scientific-graphics/) [2](http://figuredesign.blogspot.com/2012/04/meeting-recap-colors-in-figures.html) [3](http://bids.github.io/colormap/). Another python package that includes good colormaps is [cmocean](https://matplotlib.org/cmocean/), which is developed by an oceanographer, but used all over the place. " + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "In addition to 'plt.imshow', there are a few other ways to plot image-like data. Some examples are given [here](https://matplotlib.org/stable/gallery/images_contours_and_fields/pcolor_demo.html), but we'll cover 'pcolor' and 'pcolormesh.'\n", + "\n", + "First, we'll make some arrays for x and y coordinates, then some data (let's call it temperature again)." + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": {}, + "outputs": [], + "source": [ + "X = np.linspace(0,10,200)\n", + "Y = np.linspace(0,20,200)\n", + "Xgrid, Ygrid = np.meshgrid(X,Y)\n", + "temperatures = 300+20*(np.cos(Xgrid)*np.cos(Ygrid))**3*np.exp(-0.01*(Xgrid-3)**2*(Ygrid-7)**2)\n", + "plt.pcolor(X, Y, temperatures)\n", + "plt.show()\n", + "plt.pcolormesh(Xgrid, Ygrid, temperatures)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Great! The main difference between 'pcolor' and 'pcolormesh' is that pcolor takes 1D arrays of X and Y positions individually, and only works for Cartesian grids, while pcolormesh takes 2D arrays of X and Y coordinates. For Cartesian data they work in essentially the same way, although pcolormesh is typically a lot faster, especially for large images. However, pcolormesh also works for non-cartesian data:" + ] + }, + { + "cell_type": "code", + "execution_count": 20, + "metadata": {}, + "outputs": [ + { + "data": { + "image/png": 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\n", 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" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "r = np.linspace(0.5, 3.0, 200)\n", + "theta = np.linspace(0.0, 2.0*np.pi, 200)\n", + "Rgrid, Tgrid = np.meshgrid(r, theta)\n", + "X = Rgrid*np.sin(Tgrid)\n", + "Y = Rgrid*np.cos(Tgrid)\n", + "temperatures = (1+np.cos(X*10)*np.cos(Y*10)**5)*np.exp(-5*(Rgrid-1.75)**2)\n", + "plt.pcolormesh(X, Y, temperatures, cmap='plasma_r')\n", + "plt.gca().axis('equal') #without this, the circle looks like an oval!" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "dvrF_-9U_gU-" + }, + "source": [ + "# Image Arithmatic \n", + "\n", + "Now that we have covered the fundamentals, we can start diving into image manipulations, starting with slices and arithmatic. \n", + "\n", + "There are many tools we can use to learn about image processing. Today, we will be using Scikit-Image, a free to use and easy to learn python library, and we'll start by looking at an image of an insect." + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 275 + }, + "colab_type": "code", + "id": "2YlskVeHGWH8", + "outputId": "d60ed991-f396-4278-90ff-e206d19e03e4" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 8, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# first we import the input/output module from skimage called \"io\". io lets us \n", + "# read files on the computer or online\n", + "from skimage import io\n", + "insect = io.imread('https://matplotlib.org/3.1.1/_images/stinkbug.png')\n", + "\n", + "#we can take a look at the image we just imported once again using image show.\n", + "plt.imshow(insect, cmap=cm.gray, vmin=0, vmax=256)\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "jVPGCZUKk_UY" + }, + "source": [ + "Remember that, since we are working with images, the information is stored inside of a matrix. Lets take a look at that matrix." + ] + }, + { + "cell_type": "code", + "execution_count": 9, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 146 + }, + "colab_type": "code", + "id": "yuhK6yfZlHEh", + "outputId": "63efcd2e-aaae-41b6-9af6-3ab25384d790" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[104 104 104 ... 109 109 109]\n", + " [105 105 105 ... 109 109 109]\n", + " [107 106 106 ... 110 110 110]\n", + " ...\n", + " [112 111 110 ... 116 115 115]\n", + " [113 113 112 ... 115 114 114]\n", + " [113 115 115 ... 114 114 113]]\n" + ] + } + ], + "source": [ + "# show the array\n", + "print(insect)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "MehoDaNZJtU2" + }, + "source": [ + "The first thing we notice is that this image is no longer just 1's and 0's. The numbers go from 0 to 256, and recalling that 0 = absence of light, we take 0=black and 256=white. All of the numbers between 0 and 255 are various shades of gray. \n", + "\n", + "Next, we can see that there are ellipses inside of the matrix. This is python's way of telling us that there are *so* many positions and values that writing them all out would take a huge amount of space on the screen, and a list that big is hard to read.\n", + "\n", + "In the checker board example we had an image that had 3 rows and 3 columns. We can check the shape of any matrix by adding \".shape\" after its name. Let's see the shape of the insect image" + ] + }, + { + "cell_type": "code", + "execution_count": 10, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 35 + }, + "colab_type": "code", + "id": "gFQ-SSkZlHRQ", + "outputId": "cea4b297-2f8b-4bc2-9374-31bde51308e4" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "(375, 500)\n" + ] + } + ], + "source": [ + "# show the shape of the array\n", + "print(insect.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "WhbX-mHqQe1e" + }, + "source": [ + "It looks like this matrix has 375 rows and 500 columns, so we expect it to be wider than it is tall. We can take a look at the value of a specific pixel by calling its location like this:" + ] + }, + { + "cell_type": "code", + "execution_count": 11, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 34 + }, + "colab_type": "code", + "id": "7rWPLx4alHVB", + "outputId": "fc968367-acb2-4b4c-e9ce-e19c78f55332" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "157\n" + ] + } + ], + "source": [ + "# show the value of the pixel in the 100th row and 200th column\n", + "print(insect[100,200])" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "0OtfQVS8Re66" + }, + "source": [ + "**Cropping**\n", + "\n", + "Cropping an image is very simple. Basically, we have a really big matrix, but want to get rid of the rows and columns that we are not interestesd in. We can do this by slicing the matrix usng brackets [ ] as show below:" + ] + }, + { + "cell_type": "code", + "execution_count": 12, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "colab_type": "code", + "id": "57CNoD4olaw2", + "outputId": "55f018c0-02c2-4e5a-da56-edfce3aca1c9" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 12, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# display only the section of the image between columns 150 - 350 and rows 200 - 400\n", + "plt.imshow(insect[50:150,150:275], cmap=cm.gray, vmin=0, vmax=256)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "31HKaTvrSXCt" + }, + "source": [ + "In this case we cropped to the left most antenna." + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "DVIxmrT7Srlp" + }, + "source": [ + "# Exercise 3: Cropping\n", + "\n", + "By altering the slice locations of the image matrix, can you crop the photo to focus in on the insect's face?" + ] + }, + { + "cell_type": "code", + "execution_count": 13, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "colab_type": "code", + "id": "yUprkOa3TL2w", + "outputId": "21b8801e-c529-45d0-e78d-3ebb8d490a3e" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 13, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.imshow(insect[150:250,210:300], cmap=cm.gray, vmin=0, vmax=256)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "YTJS9bm1Sm2c" + }, + "source": [ + "# Image Arithmatic (continued)\n", + "\n", + "since we are still working with a matrix, we are free to do normal math operations on it. For example, we can divide all of the values in the image by 2. This should darken the image, lets try it:" + ] + }, + { + "cell_type": "code", + "execution_count": 14, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 275 + }, + "colab_type": "code", + "id": "8TbtybLyWgYe", + "outputId": "9680cb61-0c2b-4815-d0d5-cb8a66e8ad2e" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 14, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#divide the image by two and display it\n", + "plt.imshow((insect*0.5).astype(int), cmap=cm.gray)#, vmax=255, vmin=0)\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "3_Jj8D6-YH9Z" + }, + "source": [ + "To brighten the image, we can instead multiply the matrix by 1.5:" + ] + }, + { + "cell_type": "code", + "execution_count": 15, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 275 + }, + "colab_type": "code", + "id": "e0Bid59NYMkq", + "outputId": "902267be-0be9-4abe-e715-b1d062adbc50" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 15, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "#multiply the image by 1.5 and display it\n", + "plt.imshow((insect*1.5).astype(int), cmap=cm.gray, vmax=255, vmin=0)\n", + "plt.colorbar()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "qBBACkwQZzRt" + }, + "source": [ + "We can also add and subtract images from one another. For example, we can subtract an image from its self:" + ] + }, + { + "cell_type": "code", + "execution_count": 16, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 388 + }, + "colab_type": "code", + "id": "EXqJWh44j3IU", + "outputId": "45504d3a-db4a-4633-f037-02739b234f81" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[0 0 0 ... 0 0 0]\n", + " [0 0 0 ... 0 0 0]\n", + " [0 0 0 ... 0 0 0]\n", + " ...\n", + " [0 0 0 ... 0 0 0]\n", + " [0 0 0 ... 0 0 0]\n", + " [0 0 0 ... 0 0 0]]\n" + ] + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# subtract the image to itself and display\n", + "plt.imshow(insect-insect, cmap=cm.gray, vmax=256, vmin=0)\n", + "# check that the array in full of zeros\n", + "print(insect-insect)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "6hIGmqJ-bQW5" + }, + "source": [ + "We can also directly modify the values of the matrix elements ourselves. For example, if we want to set a portion of the image to solid black, we can do so by setting all of the pixels in that region to zero, like this:" + ] + }, + { + "cell_type": "code", + "execution_count": 17, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "colab_type": "code", + "id": "31Qh1f-onkY5", + "outputId": "0d8ebf16-24ee-4c36-a6d2-d09a8d9f7fc5" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 17, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# set the region x=[50,100] and y=[50,100] to zero and display\n", + "img = np.copy(insect)\n", + "img[50:100,50:100] = 0\n", + "plt.imshow(img, cmap=cm.gray, vmax=256, vmin=0)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "mpNEMFGDcEaq" + }, + "source": [ + "# Exercise 4: Censorship\n", + "\n", + "By altering the code below, censor the insects face with a white block. Remember that white = 255" + ] + }, + { + "cell_type": "code", + "execution_count": 18, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "colab_type": "code", + "id": "bMf_tmo5cUnH", + "outputId": "0738c30e-ab03-40b2-ec25-6d8c791a9c66" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 18, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "img = np.copy(insect)\n", + "img[150:250,210:300] = 255\n", + "plt.imshow(img, cmap=cm.gray, vmax=256, vmin=0)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "O-zgDHzJclpp" + }, + "source": [ + "# Challenge Problem : Gradients" + ] + }, + { + "cell_type": "code", + "execution_count": 77, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 287 + }, + "colab_type": "code", + "id": "OuVno2DQn9lv", + "outputId": "69d73e09-d3c8-4ab9-8f8e-f506a2b9a468" + }, + "outputs": [ + { + "ename": "NameError", + "evalue": "name 'insect' is not defined", + "output_type": "error", + "traceback": [ + "\u001b[0;31m---------------------------------------------------------------------------\u001b[0m", + "\u001b[0;31mNameError\u001b[0m Traceback (most recent call last)", + "\u001b[0;32m\u001b[0m in \u001b[0;36m\u001b[0;34m\u001b[0m\n\u001b[1;32m 1\u001b[0m \u001b[0;31m# challenge problem: make a fading image from top to bottom (hint: multiply the image by a gradient you can create)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0;32m----> 2\u001b[0;31m \u001b[0mplt\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mimshow\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minsect\u001b[0m \u001b[0;34m*\u001b[0m \u001b[0mnp\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mlinspace\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0;36m0\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0;36m2\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mlen\u001b[0m\u001b[0;34m(\u001b[0m\u001b[0minsect\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m)\u001b[0m\u001b[0;34m[\u001b[0m\u001b[0;34m:\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0;32mNone\u001b[0m\u001b[0;34m]\u001b[0m\u001b[0;34m,\u001b[0m\u001b[0mcmap\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0mcm\u001b[0m\u001b[0;34m.\u001b[0m\u001b[0mgray\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmax\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m256\u001b[0m\u001b[0;34m,\u001b[0m \u001b[0mvmin\u001b[0m\u001b[0;34m=\u001b[0m\u001b[0;36m0\u001b[0m \u001b[0;34m)\u001b[0m\u001b[0;34m\u001b[0m\u001b[0;34m\u001b[0m\u001b[0m\n\u001b[0m", + "\u001b[0;31mNameError\u001b[0m: name 'insect' is not defined" + ] + } + ], + "source": [ + "# challenge problem: make a fading image from top to bottom (hint: multiply the image by a gradient you can create)\n", + "plt.imshow(insect * np.linspace(0,2,len(insect))[:, None],cmap=cm.gray, vmax=256, vmin=0 )\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "mT5WMv1s9juc" + }, + "source": [ + "\n", + "\n", + "> # **Advanced Image Processing**\n", + "\n", + "\n", + "\n", + "# Blob Detection\n", + "## What are blobs and why do we care?\n", + "In essence, \"blob detection\" is the process of searching for and identifying bright spots on a dark background, or dark spots on a light background. The \"blobs\" can correspond to any number of physical phenomena. In astronomy, for example, this can be relevant if you have an image of a part of the sky and want to identify something like galaxies. You might be wondering though, why not just look at an image yourself and pick out blobs \"by eye\"? In our example of identifying galaxies in an astronomical image, a systematic way of doing this may be beneficial for several reasons: \n", + "- you may have faint objects in your image the are difficult to distinguish from the background\n", + "- you may have a crowded field where bright points are close enough together that they are difficult to disentangle\n", + "- you may have a large dataset where it would just take you a long time to go through everything by hand\n", + "- you may want to define where a blob \"ends\" in a systematic way so that your blob definition is consistent across all objects you identify\n", + "\n", + "These are just some of the reasons why a systematic approach to identifying blobs in images could be beneficial. Checking the output of your algorithm by eye, however, is wise to make sure that it is not outputting nonsense.\n", + "\n", + "Let's get started with first reading in our first astronomical image; a nearby group of galaxies! Astronomical images are stored as \"fits\" files, this is essentially a table that contains the information of how bright the sky is at each pixel in your image, and a \"header\", which contains information about how pixels translate into coordinates on the sky, what instrument was used, and the units of the image for example. We will read the fits file into a numpy array using the package called astropy (see http://docs.astropy.org/en/stable/index.html for documentation). This package streamlines the process of working with astronomical images in Python. " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "0Xk_OPfKfhqs" + }, + "source": [ + "First we will import a few packages that we are going to use throughout this section: skimage will allow us to run the blob detection algorithms, matplotlib will allow us to plot our data, astropy will allow us to read \"fits\" files, and numpy will let us do cool things with arrays." + ] + }, + { + "cell_type": "code", + "execution_count": 78, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "U9NHDd2U9qb3" + }, + "outputs": [], + "source": [ + "from skimage.feature import blob_dog, blob_log, blob_doh\n", + "import matplotlib.pyplot as plt\n", + "from astropy.io import fits\n", + "import numpy as np\n", + "from astropy.utils.data import download_file\n", + "\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "LaYMqdb7f62x" + }, + "source": [ + "This line reads the fits file --> data table and header." + ] + }, + { + "cell_type": "code", + "execution_count": 89, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 325 + }, + "colab_type": "code", + "id": "Lw7fzmD6f3fA", + "outputId": "ea4e023f-1a50-4eec-c1f6-e9fef75cca69" + }, + "outputs": [], + "source": [ + "url = 'https://github.com/tahumada/tahumada.github.io/blob/master/PAARC/RSCG1.fits?raw=true'\n", + "filename = download_file(url, cache=True)\n", + "hdu = fits.open(filename)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "veYtEdqigH_7" + }, + "source": [ + "# Exercise 5: hdu\n", + "\n", + "1. What is the type of hdu? \n", + "2. What happens when you print hdu?" + ] + }, + { + "cell_type": "code", + "execution_count": 84, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 209 + }, + "colab_type": "code", + "id": "QxbDR5sPgXSR", + "outputId": "e11ea2b6-7476-4ffa-dba6-2d76814c4787" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "[]\n" + ] + } + ], + "source": [ + "#Insert your code here:\n", + "\n", + "print(type(hdu))\n", + "print(hdu)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "K4vo4LxTgk5S" + }, + "source": [ + "This line reads the data associated with the header into a numpy array. A fits file can have more than one header, and since Python indices start at 0, we tell Python to read the data associated with the first (and only) header associated with this fits file. " + ] + }, + { + "cell_type": "code", + "execution_count": 90, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "iE6CXDl1gIUu" + }, + "outputs": [], + "source": [ + "image = hdu[0].data\n", + "# This line closes the fits file because we don't need it anymore; we've already read the data into an array.\n", + "hdu.close()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "28HzHjCyg7K6" + }, + "source": [ + "# Exercise 6: Astronomical Images\n", + "1. What is the type of the image? \n", + "2. What happens when you print image? \n", + "3. What are the dimensions of image? \n", + "4. What are the minimum and maximum values?" + ] + }, + { + "cell_type": "code", + "execution_count": 63, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "bDlhy8xphROn" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "[[3001 3001 3253 ... 3137 3137 3137]\n", + " [3102 3102 3607 ... 2935 2935 2935]\n", + " [3506 3506 3607 ... 2935 2935 3339]\n", + " ...\n", + " [3251 3251 3352 ... 3681 3681 3278]\n", + " [3453 3049 3352 ... 3278 3681 3681]\n", + " [3453 3049 3352 ... 3278 3681 3681]]\n", + "(177, 177)\n", + "15503\n", + "2573\n" + ] + } + ], + "source": [ + "#Insert your code here:\n", + "\n", + "print(type(image)) # this prints the type, how would you show the answers to 2-4?\n", + "print(image)\n", + "print(image.shape)\n", + "print(np.max(image))\n", + "print(np.min(image))\n" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "oq6BC26p93gd" + }, + "source": [ + "That's it, you've now read your astronomical image into Python and can work with the data and analyze it! Let's visualize the data now to get an idea of what it is we are actually dealing with." + ] + }, + { + "cell_type": "code", + "execution_count": 96, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 215 + }, + "colab_type": "code", + "id": "ImahX30f94Md", + "outputId": "4994206c-3ba0-48b9-8efb-d843b173dd27" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# imshow will map the 2D array (our data), and origin='lower' tells imshow to plot (0,0) in the bottom left corner. \n", + "plt.imshow(image,origin='lower')\n", + "plt.colorbar()\n", + "plt.show()\n", + "\n", + "\n", + "# EXERCISE: What happens if you remove origin='lower'? How does the mapping of the image change?" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "_eqZ6pcH-DDC" + }, + "source": [ + "We can now run some blob finding algorithms on this data set and see what we find and if it makes sense! For this, we will use the scikit-image package which is an image processing pacakge in Python. This package has three algorithms for detecting blobs (all discussed here: https://en.wikipedia.org/wiki/Blob_detection):\n", + "- Laplacian of Gaussian\n", + "- Difference of Gaussian\n", + "- Determinant of Hessian\n", + "\n", + "This is great, but what does this actually mean? How do they work? What's the difference between them?\n", + "\n", + "### Laplacian of Gaussian\n", + "This algorithm starts by smoothing (blurring) the entire image with a two-dimensional Gaussian function: \n", + "\n", + "$$\\begin{align} g(x,y,\\sigma) = \\frac{1}{2\\pi\\sigma^2} e^\\left(-\\frac{x^2+y^2}{2\\sigma^2}\\right) \\end{align}$$ \n", + "\n", + "where $(x,y)$ correspond to pixel coordinates on your image, and $\\sigma$ represents the \"size\" or \"width\" of the Gaussian function. The algorithm then performs a mathematical computation called taking the \"Laplacian\", however we will not go into the details of that. What this effectively gives you is strong responses for blobs of size $\\sqrt{2}\\sigma$. This means that the algorithm is most sensitive to detecting blobs that have a similar size to that of the Gaussian function that you smooth your image with in the first place. In order to detect blobs of varying size, you need to use an approach that allows you to smooth your image with Gaussians of varying sizes to try to match the scale of potential blobs. This approach is the most accurate but also the slowest approach, especially for the largest blobs, because it needs to smooth the image with a larger Gaussian.\n", + "\n", + "The scikit-image function \"blob_log\" (https://scikit-image.org/docs/dev/api/skimage.feature.html#skimage.feature.blob_log) has this capability. To run it, we simply need to call the function and provide it with the correct input parameters. In the following piece of code, this is what we are going to provide the function with:\n", + "- **image** to run the blob detection on\n", + "- **min_sigma**: the minimum size for the Gaussian that will be used to smooth the image; this corresponds to the smallest blobs we expect in the image\n", + "- **max_sigma**: the maximum size for the Gaussian that will be used to smooth the image; this corresponds to the largest blobs we expect in the image\n", + "- **num_sigma**: the number of sizes to consider between the minimum and maximum\n", + "- **threshold**: relates to how faint of a blob you can detect; a smaller threshold will detect fainter blobs\n", + "\n", + "The call to this function will output a list of x and y coordinates corresponding to the center of each blob, as well as the \"size\" of the Gaussian that it used to find that blob. Let's try it out!" + ] + }, + { + "cell_type": "code", + "execution_count": 65, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 90 + }, + "colab_type": "code", + "id": "0hcWTUqu-ELT", + "outputId": "58f5c3d6-17ac-4893-994a-2e819ff695d1" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "((30, 3),\n", + " array([[176., 11., 2.],\n", + " [174., 30., 2.],\n", + " [156., 78., 2.],\n", + " [150., 110., 2.],\n", + " [128., 55., 2.],\n", + " [126., 92., 2.],\n", + " [126., 1., 2.],\n", + " [119., 99., 2.],\n", + " [111., 13., 2.],\n", + " [107., 108., 8.],\n", + " [106., 40., 2.],\n", + " [101., 92., 2.],\n", + " [ 95., 111., 2.],\n", + " [ 95., 25., 3.],\n", + " [ 92., 58., 2.],\n", + " [ 89., 139., 5.],\n", + " [ 82., 106., 2.],\n", + " [ 81., 78., 2.],\n", + " [ 73., 100., 4.],\n", + " [ 72., 19., 2.],\n", + " [ 71., 166., 2.],\n", + " [ 61., 3., 2.],\n", + " [ 57., 121., 2.],\n", + " [ 52., 105., 2.],\n", + " [ 48., 20., 2.],\n", + " [ 26., 62., 3.],\n", + " [ 23., 122., 3.],\n", + " [ 18., 16., 3.],\n", + " [ 15., 3., 2.],\n", + " [ 12., 158., 2.]]))" + ] + }, + "execution_count": 65, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "# This line calls the blob detection (Laplacian of Gaussian function) on our galaxies image with the parameters that\n", + "# we provide\n", + "blobs_log = blob_log(image, min_sigma = 2, max_sigma=9, num_sigma=8, threshold=.05)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "niz5VnKQjwmi" + }, + "source": [ + "# Exercise 7: Blobs \n", + "What kind of output does blobs_log provide? What are its dimensions? What does the length of blobs_log physically correspond to?" + ] + }, + { + "cell_type": "code", + "execution_count": 93, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "1yC0CozDjvMD" + }, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "\n", + "[[176. 11. 2.82842712]\n", + " [174. 30. 2.82842712]\n", + " [156. 78. 2.82842712]\n", + " [150. 110. 2.82842712]\n", + " [128. 55. 2.82842712]\n", + " [126. 92. 2.82842712]\n", + " [126. 1. 2.82842712]\n", + " [119. 99. 2.82842712]\n", + " [111. 13. 2.82842712]\n", + " [107. 108. 11.3137085 ]\n", + " [106. 40. 2.82842712]\n", + " [101. 92. 2.82842712]\n", + " [ 95. 111. 2.82842712]\n", + " [ 95. 25. 4.24264069]\n", + " [ 92. 58. 2.82842712]\n", + " [ 89. 139. 7.07106781]\n", + " [ 82. 106. 2.82842712]\n", + " [ 81. 78. 2.82842712]\n", + " [ 73. 100. 5.65685425]\n", + " [ 72. 19. 2.82842712]\n", + " [ 71. 166. 2.82842712]\n", + " [ 61. 3. 2.82842712]\n", + " [ 57. 121. 2.82842712]\n", + " [ 52. 105. 2.82842712]\n", + " [ 48. 20. 2.82842712]\n", + " [ 26. 62. 4.24264069]\n", + " [ 23. 122. 4.24264069]\n", + " [ 18. 16. 4.24264069]\n", + " [ 15. 3. 2.82842712]\n", + " [ 12. 158. 2.82842712]]\n", + "(30, 3)\n" + ] + } + ], + "source": [ + "# How would you explore this questions?\n", + "\n", + "\n", + "#1. What kind of output is blobs_log?\n", + "#2. What are its dimension?\n", + "#3. What does the length of blobs_log physically correspond to?\n", + "\n", + "# solution:\n", + "print(type(blobs_log))\n", + "print(blobs_log)\n", + "print(blobs_log.shape)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "OlVjfolFkTyG" + }, + "source": [ + "## Data from the blob finder \n", + "\n", + "The first column of blobs_log (blobs_log[0]) is the y-coordinate, the second column (blobs_log[1]) is the x-coordinate, and the third column (blobs_log[2]) is the \"size\" of the Gaussian that was used to detect the blob. " + ] + }, + { + "cell_type": "code", + "execution_count": 66, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "bqupsIF2-I0A" + }, + "outputs": [], + "source": [ + "# In this line we use the third column to calculate the radius of the blob itself.\n", + "blobs_log[:, 2] = blobs_log[:, 2] * np.sqrt(2)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "wFMGgsQvmTE7" + }, + "source": [ + "## Plotting the blobs\n", + "Now we'll plot the blobs onto our image! For this, we will create circles with plt.Circle using the corrdinate and radius information we have from blobs_log. Then we will use add_patch to add that circle to our image. Since the plotting software needs information about the axes of the image in order to know where each circle goes, we use plt.gca() which means \"Get Current Axis\" and store the axis information into \"ax\". Then when we add the circle patches to the image, they will appear in the correct places. Finally, since there is more than one blob, we will create the circular patches and add them to the image one-by-one using a while loop. " + ] + }, + { + "cell_type": "code", + "execution_count": 67, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "VQToTxHRmQ1-" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "ax = plt.gca()\n", + "ax.imshow(image,origin='lower')\n", + "cnt = 0\n", + "while cnt < len(blobs_log):\n", + " c = plt.Circle((blobs_log[cnt][1], blobs_log[cnt][0]), blobs_log[cnt][2], color='white', linewidth=2, fill=False)\n", + " ax.add_patch(c)\n", + " cnt = cnt + 1\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "1Fndbo84n--g" + }, + "source": [ + "# Exercise 8: Blob Parameters\n", + "\n", + "Play around with the input parameters in the following block of code, then run it to see how changing they will affect the number and type of blobs detected:\n", + "\n", + "1. What parameter governs the sizeo of the blobs? (bigger, smaller)\n", + "2. What parameter governs the number of selected blobs? \n", + "3. What parameter governs the number of blobs? (does it pick only the brightest?)" + ] + }, + { + "cell_type": "code", + "execution_count": 76, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "rsgp4YYAokM7" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "blobs_log = blob_log(image, min_sigma = 2, max_sigma=9, num_sigma=8, threshold=.05)\n", + "\n", + "### Play with the paramters above this line ###\n", + "blobs_log[:, 2] = blobs_log[:, 2] * np.sqrt(2)\n", + "ax = plt.gca()\n", + "ax.imshow(image,origin='lower')\n", + "cnt = 0\n", + "while cnt < len(blobs_log):\n", + " c = plt.Circle((blobs_log[cnt][1], blobs_log[cnt][0]), blobs_log[cnt][2], color='white', linewidth=2, fill=False)\n", + " ax.add_patch(c)\n", + " cnt = cnt + 1\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "erYchCKupIe3" + }, + "source": [ + "Write down your findings below, such as what parameters give you no blobs, how does changing the parameters affect the results, and anything else that you find interesting!" + ] + }, + { + "cell_type": "code", + "execution_count": 31, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "7GRj1Rxfn8aS" + }, + "outputs": [], + "source": [ + "# RECORD YOUR FINDINGS HERE" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "A_AOKn7T-N0T" + }, + "source": [ + "### Difference of Gaussian (DoG)\n", + "This algorithm is an approximation of the Laplacian of Gaussian, where rather than actually computing the \"Laplacian\" of the Gaussian that we mentioned above, DoG approximates this computation by taking the difference of two successively smoothed (blurred) images. Blobs are then detected as bright-on-dark spots in these difference images. This algorithm has the same disadvantage for larger blobs as the Laplacian of Gaussian algorithm.\n", + "\n", + "To run this algorithm, we use the function \"blob_dog\" (https://scikit-image.org/docs/stable/api/skimage.feature.html#skimage.feature.blob_dog), which takes the same parameters as blob_log, except for **num_sigma**, because the algorithm needs to take the difference between successive smoothings so it figures out the number of times it needs to smooth the image. This function returns the same type of array as \"blob_log\" : (y-coord, x-coord, size). " + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "wbfDS6CFp-tz" + }, + "source": [ + "# Exercise 9: DoG \n", + "\n", + "Fill in the input parameters for the call to the blob_dog function and run the code. How is the result from this function different from the previous one?" + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "eoIhGs2t-OXK" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "blobs_dog = blob_dog(image, min_sigma=2,max_sigma=9, threshold=0.05)\n", + "blobs_dog[:, 2] = blobs_dog[:, 2] * np.sqrt(2)\n", + "\n", + "ax = plt.gca()\n", + "ax.imshow(image,origin='lower')\n", + "cnt = 0\n", + "while cnt < len(blobs_dog):\n", + " c = plt.Circle((blobs_dog[cnt][1], blobs_dog[cnt][0]), blobs_dog[cnt][2], color='white', linewidth=2, fill=False)\n", + " ax.add_patch(c)\n", + " cnt = cnt + 1\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "tmNCqq5J-Q1V" + }, + "source": [ + "### Determinant of Hessian\n", + "The final option that scikit-image provides is the Determinant of Hessian algorithm. This algorithm performs a different kind of mathematical operation on the smoothed images, it calculates the Hessian matrix of the image (but we won't go into that), and searches for maxima in this matrix. It it the fastest approach, but it is also less accurate and has trouble finding very small blobs. \n", + "\n", + "To try it out, we will run the function \"blob_doh\" (https://scikit-image.org/docs/stable/api/skimage.feature.html#skimage.feature.blob_doh), which takes as input the same parameters as the \"blob_log\" function. Let's try it out!" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "uxHbrWp6D6Fk" + }, + "source": [ + "# Exercise 10: DoH\n", + "Fill in the input parameters for the call to the blob_doh function and run the code. How is the result from this function different from the previous one? How were the input parameters different from the previous algorithms?" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "HKM6DFpM-THY" + }, + "outputs": [ + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "blobs_doh = blob_doh(image, min_sigma=2, max_sigma=9, num_sigma=8, threshold=.001)\n", + "\n", + "ax = plt.gca()\n", + "ax.imshow(image,origin='lower')\n", + "cnt = 0\n", + "while cnt < len(blobs_doh):\n", + " c = plt.Circle((blobs_doh[cnt][1], blobs_doh[cnt][0]), blobs_doh[cnt][2], color='white', linewidth=2, fill=False)\n", + " ax.add_patch(c)\n", + " cnt = cnt + 1\n", + "plt.show()" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "FJqe3137EkWo" + }, + "source": [ + "\n", + "---\n", + "\n", + "># **Particle Tracking**\n", + "\n", + "Now that we have learned several image processing techniques, we are ready to put them together in an application. In physics, there is an experiment called the Monopole Ion Trap that uses electric fields to trap particles as show below.\n", + "\n", + "![alt text](https://imgur.com/1cBAcEc.gif)\n", + "\n", + "The basic priciple is that the particle is attracted to and repeled by the rod at the top of the image. In the image above, we have a very stable, well behaved, trap in which the ion just goes back and forth between two locations. However, under certain curcumstances, the particle may start to behave erratically, as shown below.\n", + "\n", + "![alt text](https://imgur.com/Z575ope.gif)\n", + "\n", + "We would like to track the particle so that we can study its position and velocity.\n", + "\n", + "Lets start by importing the two movies shown above into python. We have saved each movie, image by image, inside of folders on [here](https://github.com/tahumada/tahumada.github.io/tree/master/PAARC). So we will import them as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": 146, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Data dowloaded, check if there is a folder called P1\n" + ] + } + ], + "source": [ + "import os\n", + "import requests\n", + "\n", + "files_path = [f'https://github.com/tahumada/tahumada.github.io/blob/master/PAARC/P1%20-%20429V0{i:02}.gif?raw=true'.format(i) for i in range(20)]\n", + "\n", + "# downloading the data\n", + "folder_location = \"P1\"\n", + "os.system('mkdir '+ folder_location)\n", + "\n", + "for i in range(20):\n", + " img_data = requests.get(files_path[i]).content\n", + " with open(folder_location+files_path[i][files_path[i].rfind('/'):-9], 'wb') as handler:\n", + " handler.write(img_data)\n", + "print('Data dowloaded, check if there is a folder called P1')\n", + " " + ] + }, + { + "cell_type": "code", + "execution_count": 149, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "['P1/P1%20-%20429V009.gif', 'P1/P1%20-%20429V008.gif', 'P1/P1%20-%20429V018.gif']\n" + ] + } + ], + "source": [ + "# we import the operating system library OS to help us import many files at once\n", + "import glob \n", + "\n", + "folder_location = \"./P1\"\n", + "#the following line will navigate python to the correct foler. chdir stands for change directory.\n", + "files = glob.glob('P1/*.gif')\n", + "print(files[:3])\n" + ] + }, + { + "cell_type": "code", + "execution_count": 154, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 154, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# use the function io.imread from skimage to show the first element of the list\n", + "\n", + "plt.imshow(io.imread(files[0]))" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now is a good time to notice that we don't actually need the entire image to do this computation. The only thing we really need is the region the particle travels within, as shown below \n", + "\n", + "![alt text](https://imgur.com/oXLY4RF.gif)\n", + "\n", + "This is called the Region of Interest (ROI) of an image so we will crop every single image as we import it. Lets do that by importing a test image and checking how we want to crop it:" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exercise 11: Cropping 2\n", + "\n", + "Find the correct copping location by chaning the slice location" + ] + }, + { + "cell_type": "code", + "execution_count": 155, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 155, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "test_image = io.imread(files[0])\n", + "plt.imshow(test_image[210::], cmap = cm.gray)\n" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Now that we know where we want to crop the images, we can do so automatically for all of the images in the folder" + ] + }, + { + "cell_type": "code", + "execution_count": 156, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 156, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# the following line creates an empty list that we will populate with the images as we import and crop them. \n", + "#That is, ROI is a list of matrices, each one representing an image.\n", + "ROIs = []\n", + "\n", + "# the following for-loop imports the images\n", + "for image in files:\n", + " ROIs.append(io.imread(image)[210::])\n", + "\n", + "# to make sure we are doing things correctly, lets see what the 17th image in the list is\n", + "plt.imshow(ROIs[16], cmap=cm.gray)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Looks good. Okay, now that we have all of the images imported, we want to run a blob finding algorithm that finds the position of the blob in each of the images. However, there are \"specles\" in the background, so make sure that your blob finding parameters are set correctly." + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Exercise 12: Particle Tracking\n", + "\n", + "\n", + "The goal is for you to use the examples we have provided above to write your own code to systematically find the particles in the ROI list. A general outline of the code is provided below, but if you need further help feel free to ask. \n", + "\n", + "general outline:\n", + "1. choose one of the images in the ROI list to test your parameters on\n", + "2. apply one of the blob finding techniques to the image (take a look at earlier examples if needed)\n", + "3. make a for-loop that applies this technique to all of the images in ROI and collects all of the outputs needed" + ] + }, + { + "cell_type": "code", + "execution_count": 38, + "metadata": {}, + "outputs": [], + "source": [ + "#student solution goes here" + ] + }, + { + "cell_type": "code", + "execution_count": 157, + "metadata": {}, + "outputs": [], + "source": [ + "#instructor solution\n", + "\n", + "particles = []\n", + "\n", + "for image in ROIs:\n", + " blob = blob_log(image, min_sigma = 5, max_sigma=10, num_sigma=2, threshold=.1)\n", + " particles.append(blob)\n", + " \n", + "#print(particles)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "We should now have a list of particle locations and sizes. Note that the size information is not important to this application, so we can get rid of it. In general, we find it easier to work with big complicated lists using numpy, so first we will convert the list into a numpy array, and then clean it up." + ] + }, + { + "cell_type": "code", + "execution_count": 158, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[223. 211. 5.]\n", + " [217. 210. 5.]\n", + " [187. 206. 5.]\n", + " [174. 203. 5.]\n", + " [222. 211. 5.]\n", + " [123. 195. 5.]\n", + " [136. 197. 5.]\n", + " [215. 210. 5.]\n", + " [164. 202. 5.]\n", + " [198. 207. 5.]\n", + " [207. 208. 5.]\n", + " [150. 200. 5.]\n", + " [200. 208. 5.]\n", + " [229. 212. 5.]\n", + " [226. 212. 5.]\n", + " [209. 209. 5.]\n", + " [229. 212. 5.]\n", + " [189. 206. 5.]\n", + " [176. 204. 5.]\n", + " [227. 212. 5.]]\n" + ] + } + ], + "source": [ + "#the following line converts the list into a numpy array\n", + "particles = np.array(particles)\n", + "#the following line cleans up array to make it look nicer\n", + "particles = particles[::,0]\n", + "#this shows us what they array looks like.\n", + "print(particles)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "# Data Analysis\n", + "\n", + "Great, using a ROI made this computation faster, and it made sure that the particle was easy to find. Unfortunately it also introduced a small offset error in the verticle position of the particle. This can be seen by taking a look at the picture below:\n", + "\n", + "![alt text](https://imgur.com/aI3a3Ve.gif)\n", + "\n", + "To correct for this error we simply have to add an offset to the y position of the particle list." + ] + }, + { + "cell_type": "code", + "execution_count": 159, + "metadata": {}, + "outputs": [ + { + "name": "stdout", + "output_type": "stream", + "text": [ + "[[433. 211. 5.]\n", + " [427. 210. 5.]\n", + " [397. 206. 5.]\n", + " [384. 203. 5.]\n", + " [432. 211. 5.]\n", + " [333. 195. 5.]\n", + " [346. 197. 5.]\n", + " [425. 210. 5.]\n", + " [374. 202. 5.]\n", + " [408. 207. 5.]\n", + " [417. 208. 5.]\n", + " [360. 200. 5.]\n", + " [410. 208. 5.]\n", + " [439. 212. 5.]\n", + " [436. 212. 5.]\n", + " [419. 209. 5.]\n", + " [439. 212. 5.]\n", + " [399. 206. 5.]\n", + " [386. 204. 5.]\n", + " [437. 212. 5.]]\n" + ] + } + ], + "source": [ + "for n, blob in enumerate(particles):\n", + " particles[n] = np.add(blob, [210,0,0])\n", + "print(particles)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "The final step is to turn these pixel locations into measurements of distance between the particle and the center of the rod. To do this, we will use the usual distance formula:\n", + "\n", + "![alt text](https://i.imgur.com/xsRJGbR.png)\n", + "\n", + "where (y_2, x_2) is the location of the center of the rod and (y_1, y_2) is the location of the particle. From previous measurements, the experimenters know that the center of the rod is approximately at \n", + "\n", + "y_2 = 83\n", + "\n", + "x_2 = 137\n", + "\n", + "so we can change all of the particle *location* data to particle *distance* data as follows:" + ] + }, + { + "cell_type": "code", + "execution_count": 160, + "metadata": {}, + "outputs": [], + "source": [ + "distances = []\n", + "for particle in particles:\n", + " distance = np.sqrt((83 - particle[0])**2 + (137-particle[1])**2)\n", + " distances.append(distance)\n", + " \n", + "distances = np.array(distances)\n", + "#print(distances)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Great, so now we have the the distances of the particles from the center of the rod for each movie. The experimenters also know two important pieces of information. \n", + "\n", + "1. the camera was taking 2360 pictures per second (FPS), so the time between each image is 1/2360 seconds. \n", + "2. the distance between each pixel 5.9 micron = .0059 millimeters (mm)\n", + "\n", + "we can use this information to make a plot of the particle's distance as a function of time with proper units." + ] + }, + { + "cell_type": "code", + "execution_count": 161, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'distance(mm)')" + ] + }, + "execution_count": 161, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "time = np.linspace(0,len(distances)/2360, len(distances) )\n", + "distances = distances*.0059\n", + "plt.plot(time,distances)\n", + "plt.xlabel('time(s)')\n", + "plt.ylabel('distance(mm)')" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "## Congratulations!\n", + "\n", + "You just did particle tracking. Now we'll quickly demonstrate how to find the velocity of the particle.\n", + "\n", + "Recall that the definition of velocity is simply distance/time. Since we know that the time between pictures is 1/2360 seconds, all we have to do is calculate the distance the particle moved between each frame." + ] + }, + { + "cell_type": "code", + "execution_count": 162, + "metadata": {}, + "outputs": [], + "source": [ + "velocities = []\n", + "for n in range(len(distances)):\n", + " if n < (len(distances)-1):\n", + " velocity = (distances[n+1] - distances[n])*2360\n", + " velocities.append(velocity)\n", + "#print(velocities)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Sometime is it useful/interesting to see the velocity data in a \"phase diagram\", which is just a plot of the position vs the velocity:" + ] + }, + { + "cell_type": "code", + "execution_count": 163, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "Text(0, 0.5, 'velocity(mm/s)')" + ] + }, + "execution_count": 163, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "plt.scatter(distances[:-1:],velocities, )\n", + "plt.xlabel('distance(mm)')\n", + "plt.ylabel('velocity(mm/s)')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "s205adVKfBjv" + }, + "source": [ + "# Bonus Material" + ] + }, + { + "cell_type": "code", + "execution_count": 52, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + }, + "colab_type": "code", + "id": "coXZ3H6LMBqu", + "outputId": "ab673c3b-5526-4a50-8227-89b7de134575" + }, + "outputs": [ + { + "data": { + "text/plain": [ + "" + ] + }, + "execution_count": 52, + "metadata": {}, + "output_type": "execute_result" + }, + { + "data": { + "image/png": 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0fMkc234LeONCCpQkLYzfjJWkxhn0ktQ4g16SGmfQS1LjDHpJapxBL0mNM+glqXEGvSQ1zqCXpMYZ9JLUOINekhpn0EtS4wx6SWqcQS9JjTPoJalxBr0kNa7PpQRXJ7knyX1JHkry6VnGnJDk1iSPJbk7yfqhvi1d+18neefili9Jmk+fI/oDwEVV9WZgA3BZkvNHxnwQeLaqXgt8HvgcQJJfADYBb2BwQfE/7C5JKElaJn0uJVjA893q8d2tRoZdAXyqW94O/EEGF4+9Arilqg4A30vyGHAe8O2Flz67CzdMw3+8cKnuXpKWxPQG2DC9a0nuu9ccfZJVSaaBfcDOqrp7ZMjpwFMAVfUi8BzwquH2ztNd2+j9b04ylWRqZmZm/GdxyK5dsGHDkW8vSStkw4ZBhC2FeY/oAarqILAhyanAV5OcU1UPLlYRVbUN2AYwOTk5+tfCWHZdvWsxSpKkZox11k1V/RC4i8F8+7C9wBkASY4DTgGeGW7vrOvaJEnLpM9ZNxPdkTxJTgTeATw6MmwHcFW3/D7gzm5ufwewqTsr5yzgdcA9i1W8JGl+faZuTgNu6s6W+Sngtqq6PclWYKqqdgBfBL7Ufdi6n8GZNlTVQ0luAx4GXgQ+0k0DSZKWSQYH3kePycnJmpqaWukyJOmYkmRPVU3O1uc3YyWpcQa9JDXOoJekxhn0ktS4o+7D2CQzwN8u4C7WAj9YpHIWk3WNx7rGY13jabGuM6tqYraOoy7oFyrJ1FyfPK8k6xqPdY3Husbzk1aXUzeS1DiDXpIa12LQb1vpAuZgXeOxrvFY13h+oupqbo5ekvRyLR7RS5KGGPSS1LhjNuiTPJHkgSTTSX7sv6Bl4Pe7C5Pfn+QtR0ldFyZ5ruufTnLtMtV1apLtSR5N8kiSXxrpX6n9NV9dy76/kvz80ONNJ/n7JP96ZMyy76+eda3U6+tjSR5K8mCSm5OsHuk/Icmt3f66O8n6o6Suq5PMDO2vDy1TXdd0NT00+jvs+hf39VVVx+QNeAJYe5j+XwXuAAKcD9x9lNR1IXD7Cuyvm4APdcs/DZx6lOyv+epakf019PirgL9j8GWUFd9fPepa9v3F4PKg3wNO7NZvA64eGfOvgC90y5uAW4+Suq4G/mCZ99c5wIPASQz+Vfx/AV67lK+vY/aIvocrgD+pgd3AqUlOW+miVkKSU4C3MbhuAFX1f2pwtbBhy76/eta10i4G/qaqRr+tvdKvr7nqWinHASd2V5g7CfgfI/1XMHhTB9gOXJwkR0FdK+FsBsH9Qg2usf1fgX8+MmZRX1/HctAX8I0ke5JsnqW/14XJV6AugF9Kcl+SO5K8YRlqOguYAf44yb1Jbkhy8siYldhffeqC5d9fwzYBN8/SvlKvr0PmqguWeX9V1V7g3wFPAt8Hnquqb4wM+4f91YXbc8CrjoK6AN7bTY9sT3LGLP2L7UHgnyV5VZKTGBy9jz7uor6+juWg/5WqegvwLuAjSd620gV15qvrrxj8uf1m4N8D/3kZajoOeAvwR1V1LvC/gH+zDI87nz51rcT+AiDJTwMbga8s12P2MU9dy76/kqxhcAR6FvBPgJOTXLnUjzufnnV9DVhfVW8CdvL//+pYMlX1CPA54BvAnwPTwJJeee+YDfru3Zqq2gd8FThvZMiKXJh8vrqq6u+r6vlu+c+A45OsXeKyngaerqq7u/XtDAJ22Ersr3nrWqH9dci7gL+qqv85S99KXvh+zrpWaH9dAnyvqmaq6v8C/wn45ZEx/7C/ummUU4BnVrquqnqmqg50qzcAb13img497her6q1V9TbgWeC/jwxZ1NfXMRn0SU5O8rOHloFLGfw5NGwH8Ovdp9fnM/iz7fsrXVeSf3xobjLJeQx+B0v6gq+qvwOeSvLzXdPFDK7jO2zZ91efulZifw15P3NPjyz7/upT1wrtryeB85Oc1D32xcAjI2N2AFd1y+8D7qzuU8eVrGtk3nvjaP9SSfLq7uc/ZTA//6cjQxb39bWcnzYv1g34OeC+7vYQ8Imu/cPAh7vlAP8B+BvgAWDyKKnro13ffcBu4JeXaZ9tAKaA+xn8Ob9mpfdXz7pWan+dzCAgTxlqOxr213x1rdT++jTwKIMDmy8BJwBbgY1d/2oGU02PAfcAP3eU1PVvh/bXXcDrl6mu/8bgoOY+4OKlfn35LxAkqXHH5NSNJKk/g16SGmfQS1LjDHpJapxBL0mNM+glqXEGvSQ17v8B4ZzZVJT2Uw0AAAAASUVORK5CYII=\n", + "text/plain": [ + "
" + ] + }, + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" + } + ], + "source": [ + "# to achieve a better resolution we need more points. \n", + "# Let's use some lines \n", + "\n", + "number_of_points = 100\n", + "x_min,x_max = 5,9\n", + "y_min,y_max = 3,5\n", + "\n", + "plt.vlines(x_min,y_min,y_max,color='r')\n", + "plt.vlines(x_max,y_min,y_max,color='b')\n", + "plt.hlines(y_min,x_min,x_max,color='g')\n", + "plt.hlines(y_max,x_min,x_max,color='k')" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "3iG_WdZuNWcM" + }, + "source": [ + "Perfect! \n", + "But how do we fill the inside in a more effective way? We do not want to specify point by point or line by line.\n", + "Let's use a matrix! But let's start slow" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 136 + }, + "colab_type": "code", + "id": "7DVJjQz5s5Wb", + "outputId": "2d2f6e85-ecf0-401f-ddbc-6513280ea6f1" + }, + "outputs": [], + "source": [ + "# number of points in each dimention \n", + "# nx: dimention in x axis, ny: dimention in y axis\n", + "nx, ny = (2, 2)\n", + "\n", + "x = np.linspace(0, 1, nx)\n", + "print('array x: ',x)\n", + "y = np.linspace(4, 5, ny)\n", + "print('array y: ',y)\n", + "xv, yv = np.meshgrid(x, y)\n", + "print('Can you describe what np.meshgrid does?')\n", + "# it gives a vector coordinate for each point in the x and y axis \n", + "print(xv)\n", + "print(yv)\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 282 + }, + "colab_type": "code", + "id": "dG_1ubMQK3YQ", + "outputId": "9852e6c2-b04b-482d-e139-69c8b1345435" + }, + "outputs": [], + "source": [ + "# for dots and lines\n", + "\n", + "# in this case each point represents a pixel!\n", + "plt.scatter(5,3,c='r')\n", + "plt.scatter(7,3,c='b')\n", + "plt.scatter(9,3,c='g')\n", + "plt.scatter(5,4,c='r')\n", + "plt.scatter(9,4,c='g')\n", + "plt.scatter(5,5,c='r')\n", + "plt.scatter(7,5,c='b')\n", + "plt.scatter(9,5,c='g')\n" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 286 + }, + "colab_type": "code", + "id": "bknv5bflU8A_", + "outputId": "3f289337-ed91-447e-837d-1aa9eb0987b5" + }, + "outputs": [], + "source": [ + "# we do not have to specify a color for each point.\n", + "# we can use an array that points to a specific color in a colormap\n", + "\n", + "#cm for colormap\n", + "cm = plt.cm.get_cmap('RdYlBu')\n", + "xy = np.arange(20)\n", + "z = xy\n", + "print('color array:',z)\n", + "# the color is an array! that takes a color from cmap\n", + "sc = plt.scatter(xy, xy, c=z, vmin=0, vmax=20, s=35, cmap=cm)\n", + "plt.colorbar(sc)\n", + "plt.show()" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 1000 + }, + "colab_type": "code", + "id": "X6lv5QcKV3sE", + "outputId": "5d32069d-33a3-4816-bab7-50520604754e" + }, + "outputs": [], + "source": [ + "# let's crop some images and average/median them\n", + "images = [] \n", + "l = 50\n", + "# Selecting some regions in the image\n", + "for i in range(5):\n", + " images.append(insect[0+i*l:50+i*l,0+i*l:50+i*l])\n", + "\n", + "images = np.asarray(images)\n", + "# we need to specify the 'axis' to let the function know which dimention to operate; do we want to operate the lines, the rows or the entire images? \n", + "image_median = np.median(images,axis=0) \n", + "image_average = np.average(images,axis=0)\n", + "for image in images:\n", + " plt.figure()\n", + " plt.imshow(image)\n", + " plt.title('Image #%d'%i)\n", + "plt.figure()\n", + "plt.imshow(image_median)\n", + "plt.title('Median')\n", + "plt.figure()\n", + "plt.imshow(image_average)\n", + "plt.title('Averaged')" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 136 + }, + "colab_type": "code", + "id": "SNobSNCWUOvm", + "outputId": "b8aa9ed1-7008-4af6-fad4-7325613e1711" + }, + "outputs": [], + "source": [ + "insect[0:50,0:50]" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": {}, + "colab_type": "code", + "id": "lMFiA_-kWMPi" + }, + "outputs": [], + "source": [] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "R-Zy3DjC_aLS" + }, + "source": [ + "# Contours" + ] + }, + { + "cell_type": "code", + "execution_count": null, + "metadata": { + "colab": { + "base_uri": "https://localhost:8080/", + "height": 486 + }, + "colab_type": "code", + "id": "4mbikrYoNKuj", + "outputId": "cbfd146c-359d-4169-dfc8-46adb22cb14a", + "scrolled": false + }, + "outputs": [], + "source": [ + "# There are functions that can fill the spaces for us!\n", + "\n", + "number_of_points=100\n", + "# creating an array to achieve a better resolution\n", + "x = np.linspace(-5,5,number_of_points)\n", + "y = np.linspace(-5,5,number_of_points)\n", + "xx, yy = np.meshgrid(x, y, sparse=True)\n", + "z = np.sin(xx**2 + yy**2) / (xx**2 + yy**2)\n", + "\n", + "h = plt.contourf(x,y,z)\n", + "plt.show()\n", + "\n", + "print('The information needed to construct an image is in z:',z)" + ] + }, + { + "cell_type": "markdown", + "metadata": { + "colab_type": "text", + "id": "YmKi6Io8GkCK" + }, + "source": [ + "Basically, all the information of an image is contained in the 'z' array. Each row is a horizontal line and each value within these vectors is spatially linked to the vertical axis and its value is the color. " + ] + } + ], + "metadata": { + "colab": { + "collapsed_sections": [ + "R-Zy3DjC_aLS", + "s205adVKfBjv" + ], + "name": "Lecture_4.ipynb", + "provenance": [] + }, + "kernelspec": { + "display_name": "Python 3", + "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": "3.6.7" + } + }, + "nbformat": 4, + "nbformat_minor": 1 +} diff --git a/old_website/PAARC/PC - 368.8V000.gif b/old_website/PAARC/PC - 368.8V000.gif new file mode 100644 index 0000000..996e456 Binary files /dev/null and b/old_website/PAARC/PC - 368.8V000.gif differ diff --git a/old_website/PAARC/PC - 368.8V001.gif b/old_website/PAARC/PC - 368.8V001.gif new file mode 100644 index 0000000..25217c8 Binary files /dev/null and b/old_website/PAARC/PC - 368.8V001.gif differ diff --git a/old_website/PAARC/PC - 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The NGS-POSS was funded by a grant from the National Geographic Society to the California Institute of Technology. The plates were processed into the present compressed digital form with their permission. The Digitized Sky Survey was produced at the Space Telescope Science Institute under US Government grant NAG W-2166. Investigators using these scans are requested to include the above acknowledgements in any publications. Copyright (c) 1994, Association of Universities for Research in Astronomy, Inc. All rights reserved. DATAMAX = 15503. /Maximum data value DATAMIN = 2573. /Minimum data value OBJCTRA = '00 18 25.200 ' /Object Right Ascension (J2000) OBJCTDEC= '+30 04 13.80 ' /Object Declination (J2000) OBJCTX = 1802.27 /Object X on plate (pixels) OBJCTY = 5479.72 /Object Y on plate (pixels) END I     {  M M M M M M M M b   7^ ] ]  ` ` Y * * `   T T T 7 7 7 m m 7 7 ] ] . . .  ` 2 2 ] ] ] d . . 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P {{ L//^^ aa++[[%% , , 0 0 0 0 0 0 0 _ _ _ _ R R R R K  = d = = >  J J      u   ~ ~ P P L L L L L L ~ ~ P P  ~ ~ ~ ~ ~H P P P {{ L L L//  aa [[%% , , 0 0 0 _ _ _ _ R R R R  $  d d = = B   E E  l J Jyy    R J J } u    ~ P P P P L{   HH ~ ~ ~ ~ Hww w ~ ~H T {  e e 3 3 3 3 3 , W 0 0 g g g ) 0  R R R R R R $ $ R R R    = B    l J JbC y J J } N     ~ P P L{   ~ ~HH ~ ~HHH P P w ~ ~ H{ {  e e 3 3 3 3 3 , 0 0 g g W 0 0 ) W Z R R R R $ $ R R R V V     =  JS[4CCyyy  N      J  ~ ~ P   L L     ~HHHHHHHH     ~ ~ ~ ~ {{ e e 3 , , c[[[ 0 0 0 0 W 0 0 0 0 0  _ )WW $ $ $  R R R $ $ R R R $ $ $ $     ll  J y G N  yy J  ~ ~ P   L L     ~HH ~HHHHHH     ~ ~ ~ ~   {{ e e 3 , , [ 0 0 0 0 0 0 0 0 _ ) $ $ K R R R $ $ R R R $ $ $ $ s s     :: p p     ?   } } }    J J J J P   P  H    { HHH       DDDD{{  3 3 3 7 7 e e ))` , , c c c NNNN R R R R  R R R  5 l p p       } } }  J J J J J J P P   H   { A HH H      DDDDDD{{  3 i i 3 3 7 7 e e )w "A , , c c % c NNNN R R   R5 5 l : :    } }  J J J J   w    ~ ~ ~ ~      ~ ~       D {DD { 3 3 i i 3 3 3 3 7 7 / e ))9 0 [[ , , c c [[ NNN R R   R R R l l 5 l  : x x   N N   } } J J J J    P    ~ ~      P P ~ ~HH     { { i i 3 3 3 3 7 7 / e )))PW 0 [[ , , c c [[[[ c c NNN R R    R R R l l l l 5  B B x x      } G } } } } G J +  J J   P P ~  L L H P  +11A  L L i i  _ _ _W  , c c , c c c c c c c  R $ $ Z Z $  l l5 5: B B      } G } } } }G J +  J J   ~ ~ ~  DD L L H wX '"a"A   i i + _ _ _ 0 , c c , c c + c c c c c   R $ $ Z Z $ l l5 5 l x   N } } } G }  P ~ ~HH ~ ~ ~ ~ {{ L L ~HH #361Z D  i ia 7 _ 0 c c c c c c c c c , , , , N R R R R R $ $ $ l l 5:: x   N } G }  P HH ~ ~ ~ ~ L L ~ (8r9<4$hD  i i aaa m 7 _ W c c + c c c  N R R R R R $ $ $ l l55555 O d d 5 5 k k g g g  d d  H{{    ~ ~  ~"a2$5/b9ww      HH ~ ~ L L L L t  tt x x  [[ _)) l = =   1 9 9 o o 9 9 o 1h + + +O d d g  d d d d  H ~ ~    ~ ~  ~ A 9       HHHH ~ ~ L L L L t > x x  J J [[ _ l = =   + 9 9 o o o + h + + + o o 9@S S d d  ``  1 5 5 -- d d P P P P ~ ~ L L L ~ ~   P PH A ~  P  ~ HH L L L     [[ _ _ _ l l l   = = + h o o 9 9 o o 9 9 9 + + + 9 9 @@SSSS d d  ``  1 -- 5 5 -- d d P P ~ ~ L L L !H ~ ~   P PH  H ~ P P  P   ~ L L L L L     BB     _ _ _ l l l   = = + h o o 9 9 o o 9 9 9 + + 1 9 9 z    1 1 d d d d 5 --   P P ~ ~ T L L H ~ ~ ~ ~ P P     P P P   H HH P P   P P P         BB [[ ) _ _ = s   s o o 9 9 h 9  o 9 9  9 S  1 1  1 1 d d d d 5---- 5 5  P P ~ ~   T L L H ~ ~ ~ ~ P P P P       P P P   H HH P P   P P P         BB%% [[ ) _ _ = s     s o o 9 9h 9 o o o 9 9  9 SS   g g g d d d  5 d d- 5 5   HH     ~ ~ ~ ~ P P P P     P   ~ ~ ~ ~ ~ ~     P P  M  x x x%% [[ ) _ = = = =   = = o 9 9h +  o o o o o 9 9 +hhh h + + 9 SS  g g  d k 5 d d -   P P     ~ ~ P P     P   ~ ~ ~ ~ ~ ~     P P  t  x x x ) _ = =   oh +  o o o 9 9 1hhh h11 o o W W % % [ [ [ [    ``` d    ---   L L L L H P P P P L L L L       HH ~ ~ L L L L   P P P P P  x x x x J J  g 0 0 W l l l l l l l 111 9 o 9 9 9 9 o l l l l l = s W W % % [ [ [ [ g g    ` d  - L L L L L L H P P P P L L L L   P P     HH  ~ L L L L P P P  x x x x x x J J   g 0 +E l l 1 9 + o 9 9 9 9 o o o l l l l l l l l l =  W W % % % % % % 1 1   ` 5 5 5 5 k d d  H    D   P P ~ ~ ~ ~H { L L L L   P P   x x x J J    0 0 g g 0 0 0   9 o o 9 9 9 9 l l l l = W W % % % % % % 1 1 `` ``` d d d d 5 5 5 5 k d d H      P P ~ ~ ~ ~H { L L L L     J J     x J J   g g  0 0 0 A A 9 o o 9 9 9 9 55 l l55 l l = = [ [ % % % %``` g g 1 1   9``` d d += d d d d d +       LH     H ~ ~ ~ ~ ~ ~ ~ ~ P P  L L ~ ~ H J J J         _ _ _ _ _ _ s     9 9 + + + + + + 9 9 9      l l l l % % % %``` 1 1   9` d d d d      LH P P  { T   H ~ ~ ~ ~ ~ ~ P P    L L ~ ~ H   J J J         _ _ _ _ _ _ = =     9 9 + + + +hh + + 9 9 9    l l l l % % % %  g   ` k \\ d d d d d L L L     L L ~ ~ ~ P   HH ~ ~ ~ HHHH ~ P P   T T P ww    J J    )  _   =    o o o + 9 9 9 9    5 l l l % % % % h XX   ` e d d d d d---- L L L     L L ~ ~ ~ P   D HH ~ ~ ~HH ~   + + P ww    J J  _ _) _   =    o o o + + + 9 9      5 l l l   G#&";   G'-h%Wu    }G | | M   J J           x x x | | F F l l l l l l55 l l l l l l hh A  9 9 9 9 0 0 g 0 0[[[ , , , , , c c 4 J J J J   B  x x J J  aa    G%58>4M&b   G%562"8    }G | |t   J J           x | | F F  l l l l l l5555 l l l l h  9 9 9 9 o o g g 0 0  0 0 [ , , , ,  , c c 4 J J J J J J B x x  J J  aa }   N N.98>6({, } N N  "48p2"n  GG } >    J J     J   x | | F F  tt  l55 l l 5  9 9 9 o o + 0 g 0 , , , , [ [  , J J J J   B x x x x x     aa }   N N }%!560\ } N N  G#  } J J J J     J   xB  | | F F l55 l l l l5 + + 9 9 9 0 g 0 , , , ,%%[ [ , J J J J     B x x x x x x x   aa \ No newline at end of file diff --git a/old_website/ZTFReST_FermiGRB_maps/ZTF21aagwbjr/.gitkeep b/old_website/ZTFReST_FermiGRB_maps/ZTF21aagwbjr/.gitkeep new file mode 100644 index 0000000..8b13789 --- /dev/null +++ b/old_website/ZTFReST_FermiGRB_maps/ZTF21aagwbjr/.gitkeep @@ -0,0 +1 @@ + diff --git a/old_website/ZTFReST_FermiGRB_maps/ZTF21aagwbjr/glg_healpix_all_bn210202538_unocculted.fit b/old_website/ZTFReST_FermiGRB_maps/ZTF21aagwbjr/glg_healpix_all_bn210202538_unocculted.fit new file mode 100644 index 0000000..9c09c60 --- /dev/null +++ b/old_website/ZTFReST_FermiGRB_maps/ZTF21aagwbjr/glg_healpix_all_bn210202538_unocculted.fit @@ -0,0 +1,3386 @@ +SIMPLE = T / conforms to FITS standard BITPIX = 8 / array data type NAXIS = 0 / number of array dimensions EXTEND = T CREATOR = 'GBM_healpix.py 2.0' FILETYPE= 'IMAGE ' / Name for this type of FITS file TELESCOP= 'GLAST ' / Name of mission/satellite INSTRUME= 'GBM ' / Specific instrument used for observation OBSERVER= 'Meegan ' / GLAST Burst Monitor P.I. ORIGIN = 'GIOC ' / Name of organization making file DATE = '2021-02-02T13:04:43' / file creation date (YYYY-MM-DDThh:mm:ss UT) DATE-OBS= '2021-02-02T12:52:19' / Date of start of observation DATE-END= '2021-02-02T13:02:34' / Date of end of observation TIMESYS = 'TT ' / Time system used in time keywords TIMEUNIT= 's ' / Time since MJDREF, used in TSTART and TSTOP MJDREFI = 51910 / MJD of GLAST reference epoch, integer part MJDREFF = '7.428703703703703e-4' / MJD of GLAST reference epoch, fractional partTSTART = 633963139.88728 / [GLAST MET] Observation start time TSTOP = 633963754.298346 / [GLAST MET] Observation stop time FILENAME= 'glg_healpix_all_bn210202538_v00.fit' / Name of this file TRIGTIME= 633963272.001518 / Trigger time relative to MJDREF, double precisiOBJECT = 'GRB210202538' / Burst name in standard format, yymmddfff RADECSYS= 'FK5 ' / Stellar reference frame EQUINOX = 2000.0 / Equinox for RA and Dec RA_OBJ = 292.29 / Calculated RA of burst DEC_OBJ = 21.16 / Calculated Dec of burst ERR_RAD = 6.7 / Calculated Location Error Radius THETA = 95.0 / [deg] Angle from spacecraft zenith PHI = 345.0 / [deg] Angle from spacecraft +X axis toward +Y LOC_SRC = 'Fermi, GBM' / Mission/Instrument providing the localization CLASS = 'GRB ' / Classification of trigger OBJ_CLAS= 'GRB ' / Classification of trigger GEO_LONG= 0.0 / [deg] Spacecraft geographical east longitude GEO_LAT = 0.0 / [deg] Spacecraft geographical north latitude RA_SCX = 286.6838 / [deg] Pointing of spacecraft x-axis: RA DEC_SCX = 6.3379 / [deg] Pointing of spacecraft x-axis: Dec RA_SCZ = 11.7117 / [deg] Pointing of spacecraft z-axis: RA DEC_SCZ = -37.966 / [deg] Pointing of spacecraft z-axis: Dec LOC_VER = '3 ' / Version string of localizing software LOC_ENRG= '(50, 300)' / Energy range used for localization LMETHOD = 'Interactive' / Method of localization CHECKSUM= 'E3FAG2E4E2EAE2E3' / HDU checksum updated 2021-02-05T13:47:50 DATASUM = '0 ' / data unit checksum updated 2021-02-05T13:47:50 END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 8192 / length of dimension 1 NAXIS2 = 192 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 2 / number of table fields TTYPE1 = 'PROBABILITY' / Differential probability per pixel TFORM1 = '1024E ' TTYPE2 = 'SIGNIFICANCE' / Integrated probability TFORM2 = '1024E ' PIXTYPE = 'HEALPIX ' / HEALPIX pixelisation ORDERING= 'NESTED ' / Pixel ordering scheme, either RING or NESTED COORDSYS= 'C ' / Ecliptic, Galactic or Celestial (equatorial) EXTNAME = 'HEALPIX ' / name of this binary table extension NSIDE = 128 / Resolution parameter of HEALPIX FIRSTPIX= 0 / First pixel # (0 based) LASTPIX = 196608 / Last pixel # (0 based) INDXSCHM= 'IMPLICIT' / Indexing: IMPLICIT or EXPLICIT OBJECT = 'GRB210202538' / Sky coverage, either FULLSKY or PARTIAL SUN_RA = 316.0735862003887 / RA of Sun SUN_DEC = -16.73767225962727 / Dec of Sun GEO_RA = 167.4990237877753 / RA of Geocenter relative to Fermi GEO_DEC = -6.657994390709947 / Dec of Geocenter relative to Fermi GEO_RAD = 67.29784444264165 / Radius of the Earth N0_RA = 347.1032079527328 / RA pointing for detector n0 N0_DEC = -48.23864244505938 / Dec pointing for detector n0 N1_RA = 308.8789845513131 / RA pointing for detector n1 N1_DEC = -50.40122852395157 / Dec pointing for detector n1 N2_RA = 244.9220397768734 / RA pointing for detector n2 N2_DEC = -37.25372547102535 / Dec pointing for detector n2 N3_RA = 346.5288368528429 / RA pointing for detector n3 N3_DEC = 0.8574453467975426 / Dec pointing for detector n3 N4_RA = 334.2274227735959 / RA pointing for detector n4 N4_DEC = 45.78980784451415 / Dec pointing for detector n4 N5_RA = 284.7776728439511 / RA pointing for detector n5 N5_DEC = 3.559537147496136 / Dec pointing for detector n5 N6_RA = 29.5606873136967 / RA pointing for detector n6 N6_DEC = -24.27671974924556 / Dec pointing for detector n6 N7_RA = 47.28663421136595 / RA pointing for detector n7 N7_DEC = -4.978165632148355 / Dec pointing for detector n7 N8_RA = 66.82212482505646 / RA pointing for detector n8 N8_DEC = 36.2227263355088 / Dec pointing for detector n8 N9_RA = 76.60358300036593 / RA pointing for detector n9 N9_DEC = -61.55857874703597 / Dec pointing for detector n9 NA_RA = 153.9766716749031 / RA pointing for detector na NA_DEC = -44.9058160381411 / Dec pointing for detector na NB_RA = 104.6236175889791 / RA pointing for detector nb NB_DEC = -3.184642662424702 / Dec pointing for detector nb B0_RA = 286.6886949965253 / RA pointing for detector b0 B0_DEC = 6.324020101107089 / Dec pointing for detector b0 B1_RA = 106.6886949965253 / RA pointing for detector b1 B1_DEC = -6.324020101107099 / Dec pointing for detector b1 CHECKSUM= 'ZYF2aXC1TXC1ZXC1' / HDU checksum updated 2021-02-05T13:47:50 DATASUM = '2539799510' / data unit checksum updated 2021-02-05T13:47:50 COMMENT SCPOS: [ 6703500. -1486250. 801500.] COMMENT QUAT: [-0.735034 0.516977 -0.300038 0.320058] END |˞*[̝_\(C32*=pj=o\(Q=pXq넜p%ŽeŽ.z ̝˅̝ڏ[ڏ[L̜(nQ넝Xœnz̝ +<=p̝z=p=p넜Ǯz(ǮG֝(p +=[55?321(Ž[ ֝32Žff ֝(xQ֜֞f=oRQ-poLz(ff֝;(ָ֝Q;;j[*=p5p?32(ǮQȣ֜G(֝GQ[Ӆ{]Gp̞obQh_32g :[DzQpzg +QŽxQ-pmpyzȣ֞nzazuŽ=pQzAG332GAGУ֝zQᙘzž32GӅ32Q{̝Q넝Ž Dzȣ֝p [žz=ozW k \(\(# ?:[ff=pq넞NzTQꜙp32ŽTz8Qfe\( +G.zdQꞈ̝넝p֞z^zA넝%Ž넞GŽzfe\(p̞ž\( ˅32z[fez[32[\(8œnz8Q띃32/fez3"Q +=g +Q +=m)Ž*=p8Q랢G\(p(֞ff9[Gw\(ZGz陘zMGF?NzFfe9GŽp(ۅ +<=G~FC32h +GzQ =pzEŽQuŽRfez=p[IŽz32G\̞GzGz +=Z[zfe( 5 =p<zzXzGznFŽ?3232/ :[1QA G̞G[Gm32YW(֞zeŽrfe %ݮfe[jz̞[JzP( ~Qz\(w +<Q Q띓 TQG\(!넝,̞ff-G̝ffesfe(p+(L\( [ɮ@Q# +=feˮGhF32ծRGeG넞Z[}p}넞K +<LQ X̝c 3232.zW +Q֝z4z=p\(̞=oZG}넞̟Cž%Ž)G +(G[[QplzU[QꞲQ ] +QoL(@C2<Ž2Q +=[X\(d .Gٙnz4\(9< +=ǭ \GO  +1=p/s2Gr2[ U !"\( +=k X32yQ +uZ((31֟_?LW UQwJ<̠Nn*ٙG(& VaGYN̡$(l̡L($z +mpbo}olG3[ΒȣQCࡰee*&q7w2=j䣢G +@VF(Q[ꏡI:2~?[(筢¢:% ֢u?2[J̢5[[VSGteBe}o2@U2g֣{(FJpz(' += +=̟6fenzŽ +< \((s  =p[?>G(fez32vz +=4 ̞aŽ +<Qp֜Ǯ"[=pbzQ<\(7Ÿa넟[ŸqW F-z" pGCQǮzG50aGZ=oAG(ej)ŽsQf^G8\ +? b  ==pc8pQ֟ĸQ"޷ +_zp0 5z[넠J=GF[ +<U  +=W feǭa\(z GYŽ(zŽ.zmŽf7z=p +=[\( pz32 u #=o ZaF˅ > 0k  =p 3232aF )xQ O[ Qk |( *[ iB fz u 7 w WŽ q z !Y!)w!n(!Q!/!-H!!9G!L!"3 v< g z !!>2!,~! + (!!f!!yzchL̠띧EŽ֠ FQ=Ž(#֠A,[~+Vn2 +࠷QnFC?G #p zpGz  9 o[! ~ 3!$"![]pAG=¢f[ +=\( ǭ# Q(JzJG8(Y¢RPQj:,u&< +N#o.#4pSi eFۣXĉ"8=^#:"XQ4GwѢ渣#w# $ $="̣A#-"qR_DeG24z Tťh8(ޤ:(ƥ!w +L(}/賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥޳賥賥賥賥賥ϳ賥³賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥賥޳ٳ賥賥賥賥׳ٳQ띤̝pz;pnzG(=Ž0Q +z32ffg\(\(Gu[5pzQ:GzpQD# ̝GVQzzGQfffez\(zpM[ipF\(&z\(\\pzƸQ +=ppGG O32 +<G5Ž8Yz!]h32 T(PQԏ[*GiGS[&z Gfe4(gz(fe32֝feQGuŽ32132 +=̞\Q +<(z@prFzz&ff'(z2[Gљ߮ @8Q +=uŽ+\(\5ŽuŽ @0(У֝(}p# '8QDz  6feBG32˅/ +<O\(޸QGG/ +<̞Q넟vzP֜QꞬ([G1ŽQ[gŸ? +<[dzQQŽ=p̞G\(ŽG\(z[EQ"GT3(Ž32\(޸Qzffff0 "G=o +=Q? 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ORIGIN = 'GIOC ' / Name of organization making file DATE = '2021-02-04T10:01:38' / file creation date (YYYY-MM-DDThh:mm:ss UT) DATE-OBS= '2021-02-04T06:27:13' / Date of start of observation DATE-END= '2021-02-04T06:37:27' / Date of end of observation TIMESYS = 'TT ' / Time system used in time keywords TIMEUNIT= 's ' / Time since MJDREF, used in TSTART and TSTOP MJDREFI = 51910 / MJD of GLAST reference epoch, integer part MJDREFF = '7.428703703703703e-4' / MJD of GLAST reference epoch, fractional partTSTART = 634112833.437526 / [GLAST MET] Observation start time TSTOP = 634113447.849066 / [GLAST MET] Observation stop time FILENAME= 'glg_healpix_all_bn210204270_v01.fit' TRIGTIME= 634112970.655966 / Trigger time relative to MJDREF, double precisiOBJECT = 'GRB210204270' / Burst name in standard format, yymmddfff RADECSYS= 'FK5 ' / Stellar reference frame EQUINOX = 2000.0 / Equinox for RA and Dec RA_OBJ = 116.12 / Calculated RA of burst DEC_OBJ = 12.7 / Calculated Dec of burst ERR_RAD = 1.32 / Calculated Location Error Radius THETA = 65.503 / [deg] Angle from spacecraft zenith PHI = 188.592 / [deg] Angle from spacecraft +X axis toward +Y LOC_SRC = 'Fermi, GBM' / Mission/Instrument providing the localization CLASS = 'GRB ' / Classification of trigger OBJ_CLAS= 'GRB ' / Classification of trigger GEO_LONG= 194.1833 / [deg] Spacecraft geographical east longitude GEO_LAT = 24.75 / [deg] Spacecraft geographical north latitude RA_SCX = 322.4019 / [deg] Pointing of spacecraft x-axis: RA DEC_SCX = -18.0891 / [deg] Pointing of spacecraft x-axis: Dec RA_SCZ = 61.1629 / [deg] Pointing of spacecraft z-axis: RA DEC_SCZ = -24.9998 / [deg] Pointing of spacecraft z-axis: Dec LOC_VER = 'dol v4.15adb3' / Version string of localizing software LOC_ENRG= '(50, 300)' / Energy range used for localization LMETHOD = 'Interactive' / Method of localization CHECKSUM= 'W4aHX1R9W1XEW1X9' / HDU checksum updated 2021-02-05T13:48:11 DATASUM = '0 ' / data unit checksum updated 2021-02-05T13:48:11 END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 8192 / length of dimension 1 NAXIS2 = 192 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 2 / number of table fields TTYPE1 = 'PROBABILITY' / Differential probability per pixel TFORM1 = '1024E ' TTYPE2 = 'SIGNIFICANCE' / Integrated probability TFORM2 = '1024E ' PIXTYPE = 'HEALPIX ' / HEALPIX pixelisation ORDERING= 'NESTED ' / Pixel ordering scheme, either RING or NESTED COORDSYS= 'C ' / Ecliptic, Galactic or Celestial (equatorial) EXTNAME = 'HEALPIX ' / name of this binary table extension NSIDE = 128 / Resolution parameter of HEALPIX FIRSTPIX= 0 / First pixel # (0 based) LASTPIX = 196608 / Last pixel # (0 based) INDXSCHM= 'IMPLICIT' / Indexing: IMPLICIT or EXPLICIT OBJECT = 'GRB210204270' / Sky coverage, either FULLSKY or PARTIAL SUN_RA = 317.8270788224626 / RA of Sun SUN_DEC = -16.22698054900586 / Dec of Sun GEO_RA = 261.1905094556336 / RA of Geocenter relative to Fermi GEO_DEC = -22.50224772117364 / Dec of Geocenter relative to Fermi GEO_RAD = 67.52137439899168 / Radius of the Earth N0_RA = 61.43294266078619 / RA pointing for detector n0 N0_DEC = -45.6358891588896 / Dec pointing for detector n0 N1_RA = 34.73456090061218 / RA pointing for detector n1 N1_DEC = -65.77602266505727 / Dec pointing for detector n1 N2_RA = 265.3429966806795 / RA pointing for detector n2 N2_DEC = -62.54494572438391 / Dec pointing for detector n2 N3_RA = 28.88723854533037 / RA pointing for detector n3 N3_DEC = -5.45966928392007 / Dec pointing for detector n3 N4_RA = 356.1698605877363 / RA pointing for detector n4 N4_DEC = 28.3459550595872 / Dec pointing for detector n4 N5_RA = 327.6055717572743 / RA pointing for detector n5 N5_DEC = -25.22272700815677 / Dec pointing for detector n5 N6_RA = 77.86750414623322 / RA pointing for detector n6 N6_DEC = -7.16796489935357 / Dec pointing for detector n6 N7_RA = 86.19900743564637 / RA pointing for detector n7 N7_DEC = 17.23034145416832 / Dec pointing for detector n7 N8_RA = 89.26386809368374 / RA pointing for detector n8 N8_DEC = 62.25711896196795 / Dec pointing for detector n8 N9_RA = 123.2429013659035 / RA pointing for detector n9 N9_DEC = -31.96011505844396 / Dec pointing for detector n9 NA_RA = 176.5116481643322 / RA pointing for detector na NA_DEC = -27.49666469316396 / Dec pointing for detector na NB_RA = 147.4992395032682 / RA pointing for detector nb NB_DEC = 25.61639367430332 / Dec pointing for detector nb B0_RA = 329.1858620191899 / RA pointing for detector b0 B0_DEC = -22.19390511721879 / Dec pointing for detector b0 B1_RA = 149.18586201919 / RA pointing for detector b1 B1_DEC = 22.19390511721878 / Dec pointing for detector b1 CHECKSUM= 'SHpAT9n0SEn7S9n7' / HDU checksum updated 2021-02-05T13:48:11 DATASUM = '2643990815' / data unit checksum updated 2021-02-05T13:48:11 COMMENT SCPOS: [ 976114. 6298412. 2640325.] COMMENT QUAT: [-0.78830893 0.31885356 0.02702949 0.52551766] END /p/O/]=/zOX/͓//|//KGG/f/:/SX/R//o/ 3//^/dv/q/0 /B0y//=[/%/<///7#/p/+U/B /-W/2]/[E/xL/IE/d//#T//D/8/QH/)[/?/D/Y/I//S/P/0//l7//Y$/ua/ڷ/"//J001 050#;0F0_u07V0M0s0lD/W0 +g0)0=00.0y00f0><00-00Ѷ0T0n0D20[00f0v_@0[/R//Ј/0eK0!D0*0O///-/nA/~0{/M/@04g0J0&0:00c*20~O0QY0jq0HQ0,w0 0O0@j0X010FQ.n/ 4.݇+.T/{|/0 /t/!Z.ʺH..p .҈^/t/.$/ZR/G-/a(n/6/N/~P//iS/s/'Yw/=N/J/-w/U/q[/D /]..U... o.ڄ.E..8...@...LJ..~/ Z//s/t/3/K/$/: ./..//*_u/ ///Qg//o/=/*//#/T"//z//"/ܚ/v/00/zv00#d07%0K0(/ N/2/Ar/1\0 +00e/u0|=/eK/W/R#/m&/N/2y///@/YR/0F_/GG/u ?//`/}6/F/Ϲ//d/T0/A/2//4//{"/ĩe/ /pW/ʲ0õ!0tX008010A00700(0;h0'00A0k1 }1(1 η11:Պ1Ovz1,j1@w1D10Q11111D1$k0:m00'00{r00v0f0q0.F0^0y&0X0<090v0ܳJ000,110h1 u0D0ц@0o0P0C1 0H50(1f*N1 1U*1lYY1D1O11_1ER1Z161Je1r}191`z1x181'151_1Җ1* 1Z)1l1vB11[11 L1d1>111(S1;Xy1 1-61O]1f1@1T-1+|1 01!1\11t1D1$15ߡ1~11k_1F41y1*11B1Y'1q +1Io;1^13Z11vhV1 0M0eq0T1cϊ1{1R1hJ1*1/1wB1">71Bvp1VP131F0!0Ņ/000y0K0A%0000<0D0O000Z110%1 +N1%@17C11)H00 0ӑ01 11e1M.k./B.WIN.t,.}.&.;.'.DZ%._}.3".K.~).f.g\..q.ޮ.~i.ˊ0.5/}.4/=........).#&.9..)^.S#.p .@.[X._.O-q. 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100644 index 0000000..9ed409a --- /dev/null +++ b/old_website/_layouts/default.html @@ -0,0 +1,65 @@ + + + + + + + +{% seo %} + + + + +
    +
    +

    {{ site.title | default: site.github.repository_name }}

    + + {% if site.logo %} + Logo + {% endif %} + +

    {{ site.description | default: site.github.project_tagline }}

    + + {% if site.github.is_project_page %} +

    View the Project on GitHub {{ site.github.repository_nwo }}

    + {% endif %} + + {% if site.github.is_user_page %} +

    View My GitHub Profile

    + {% endif %} + + {% if site.show_downloads %} + + {% endif %} +
    +
    + + {{ content }} + +
    + +
    + + {% if site.google_analytics %} + + {% endif %} + + diff --git a/old_website/_layouts/post.html b/old_website/_layouts/post.html new file mode 100644 index 0000000..0676aff --- /dev/null +++ b/old_website/_layouts/post.html @@ -0,0 +1,14 @@ +--- +layout: default +--- + +{{ page.date | date: "%-d %B %Y" }} +

    {{ page.title }}

    + +

    by {{ page.author | default: site.author }}

    + +{{content}} + +{% if page.tags %} + tags: {{ page.tags | join: " - " }} +{% endif %} diff --git a/old_website/_sass/fonts.scss b/old_website/_sass/fonts.scss new file mode 100644 index 0000000..04c28e9 --- /dev/null +++ b/old_website/_sass/fonts.scss @@ -0,0 +1,55 @@ +@font-face { + font-family: 'Noto Sans'; + font-weight: 400; + font-style: normal; + src: url('../fonts/Noto-Sans-regular/Noto-Sans-regular.eot'); + src: url('../fonts/Noto-Sans-regular/Noto-Sans-regular.eot?#iefix') format('embedded-opentype'), + local('Noto Sans'), + local('Noto-Sans-regular'), + url('../fonts/Noto-Sans-regular/Noto-Sans-regular.woff2') format('woff2'), + url('../fonts/Noto-Sans-regular/Noto-Sans-regular.woff') format('woff'), + url('../fonts/Noto-Sans-regular/Noto-Sans-regular.ttf') format('truetype'), + url('../fonts/Noto-Sans-regular/Noto-Sans-regular.svg#NotoSans') format('svg'); +} + +@font-face { + font-family: 'Noto Sans'; + font-weight: 700; + font-style: normal; + src: url('../fonts/Noto-Sans-700/Noto-Sans-700.eot'); + src: url('../fonts/Noto-Sans-700/Noto-Sans-700.eot?#iefix') format('embedded-opentype'), + local('Noto Sans Bold'), + local('Noto-Sans-700'), + url('../fonts/Noto-Sans-700/Noto-Sans-700.woff2') format('woff2'), + url('../fonts/Noto-Sans-700/Noto-Sans-700.woff') format('woff'), + url('../fonts/Noto-Sans-700/Noto-Sans-700.ttf') format('truetype'), + url('../fonts/Noto-Sans-700/Noto-Sans-700.svg#NotoSans') format('svg'); +} + +@font-face { + font-family: 'Noto Sans'; + font-weight: 400; + font-style: italic; + src: url('../fonts/Noto-Sans-italic/Noto-Sans-italic.eot'); + src: url('../fonts/Noto-Sans-italic/Noto-Sans-italic.eot?#iefix') format('embedded-opentype'), + local('Noto Sans Italic'), + local('Noto-Sans-italic'), + url('../fonts/Noto-Sans-italic/Noto-Sans-italic.woff2') format('woff2'), + url('../fonts/Noto-Sans-italic/Noto-Sans-italic.woff') format('woff'), + url('../fonts/Noto-Sans-italic/Noto-Sans-italic.ttf') format('truetype'), + url('../fonts/Noto-Sans-italic/Noto-Sans-italic.svg#NotoSans') format('svg'); +} + +@font-face { + font-family: 'Noto Sans'; + font-weight: 700; + font-style: italic; + src: url('../fonts/Noto-Sans-700italic/Noto-Sans-700italic.eot'); + src: url('../fonts/Noto-Sans-700italic/Noto-Sans-700italic.eot?#iefix') format('embedded-opentype'), + local('Noto Sans Bold Italic'), + local('Noto-Sans-700italic'), + url('../fonts/Noto-Sans-700italic/Noto-Sans-700italic.woff2') format('woff2'), + url('../fonts/Noto-Sans-700italic/Noto-Sans-700italic.woff') format('woff'), + url('../fonts/Noto-Sans-700italic/Noto-Sans-700italic.ttf') format('truetype'), + url('../fonts/Noto-Sans-700italic/Noto-Sans-700italic.svg#NotoSans') format('svg'); +} diff --git a/old_website/_sass/jekyll-theme-minimal.scss b/old_website/_sass/jekyll-theme-minimal.scss new file mode 100644 index 0000000..916d195 --- /dev/null +++ b/old_website/_sass/jekyll-theme-minimal.scss @@ -0,0 +1,272 @@ +@import "fonts"; +@import "rouge-github"; + +body { + background-color: #fff; + padding:50px; + font: 14px/1.5 "Noto Sans", "Helvetica Neue", Helvetica, Arial, sans-serif; + color:#727272; + font-weight:400; +} + +h1, h2, h3, h4, h5, h6 { + color:#222; + margin:0 0 20px; +} + +p, ul, ol, table, pre, dl { + margin:0 0 20px; +} + +h1, h2, h3 { + line-height:1.1; +} + +h1 { + font-size:28px; +} + +h2 { + color:#393939; +} + +h3, h4, h5, h6 { + color:#494949; +} + +a { + color:#267CB9; + text-decoration:none; +} + +a:hover, a:focus { + color:#069; + font-weight: bold; +} + +a small { + font-size:11px; + color:#777; + margin-top:-0.3em; + display:block; +} + +a:hover small { + color:#777; +} + +.wrapper { + width:860px; + margin:0 auto; +} + +blockquote { + border-left:1px solid #e5e5e5; + margin:0; + padding:0 0 0 20px; + font-style:italic; +} + +code, pre { + font-family:Monaco, Bitstream Vera Sans Mono, Lucida Console, Terminal, Consolas, Liberation Mono, DejaVu Sans Mono, Courier New, monospace; + color:#333; +} + +pre { + padding:8px 15px; + background: #f8f8f8; + border-radius:5px; + border:1px solid #e5e5e5; + overflow-x: auto; +} + +table { + width:100%; + border-collapse:collapse; +} + +th, td { + text-align:left; + padding:5px 10px; + border-bottom:1px solid #e5e5e5; +} + +dt { + color:#444; + font-weight:700; +} + +th { + color:#444; +} + +img { + max-width:100%; +} + +header { + width:270px; + float:left; + position:fixed; + -webkit-font-smoothing:subpixel-antialiased; +} + +ul.downloads { + list-style:none; + height:40px; + padding:0; + background: #f4f4f4; + border-radius:5px; + border:1px solid #e0e0e0; + width:270px; +} + +.downloads li { + width:89px; + float:left; + border-right:1px solid #e0e0e0; + height:40px; +} + +.downloads li:first-child a { + border-radius:5px 0 0 5px; +} + +.downloads li:last-child a { + border-radius:0 5px 5px 0; +} + +.downloads a { + line-height:1; + font-size:11px; + color:#676767; + display:block; + text-align:center; + padding-top:6px; + height:34px; +} + +.downloads a:hover, .downloads a:focus { + color:#675C5C; + font-weight:bold; +} + +.downloads ul a:active { + background-color:#f0f0f0; +} + +strong { + color:#222; + font-weight:700; +} + +.downloads li + li + li { + border-right:none; + width:89px; +} + +.downloads a strong { + font-size:14px; + display:block; + color:#222; +} + +section { + width:500px; + float:right; + padding-bottom:50px; +} + +small { + font-size:11px; +} + +hr { + border:0; + background:#e5e5e5; + height:1px; + margin:0 0 20px; +} + +footer { + width:270px; + float:left; + position:fixed; + bottom:50px; + -webkit-font-smoothing:subpixel-antialiased; +} + +@media print, screen and (max-width: 960px) { + + div.wrapper { + width:auto; + margin:0; + } + + header, section, footer { + float:none; + position:static; + width:auto; + } + + header { + padding-right:320px; + } + + section { + border:1px solid #e5e5e5; + border-width:1px 0; + padding:20px 0; + margin:0 0 20px; + } + + header a small { + display:inline; + } + + header ul { + position:absolute; + right:50px; + top:52px; + } +} + +@media print, screen and (max-width: 720px) { + body { + word-wrap:break-word; + } + + header { + padding:0; + } + + header ul, header p.view { + position:static; + } + + pre, code { + word-wrap:normal; + } +} + +@media print, screen and (max-width: 480px) { + body { + padding:15px; + } + + .downloads { + width:99%; + } + + .downloads li, .downloads li + li + li { + width:33%; + } +} + +@media print { + body { + padding:0.4in; + font-size:12pt; + color:#444; + } +} diff --git a/old_website/_sass/rouge-github.scss b/old_website/_sass/rouge-github.scss new file mode 100644 index 0000000..daf76ad --- /dev/null +++ b/old_website/_sass/rouge-github.scss @@ -0,0 +1,209 @@ +.highlight table td { padding: 5px; } +.highlight table pre { margin: 0; } +.highlight .cm { + color: #999988; + font-style: italic; +} +.highlight .cp { + color: #999999; + font-weight: bold; +} +.highlight .c1 { + color: #999988; + font-style: italic; +} +.highlight .cs { + color: #999999; + font-weight: bold; + font-style: italic; +} +.highlight .c, .highlight .cd { + color: #999988; + font-style: italic; +} +.highlight .err { + color: #a61717; + background-color: #e3d2d2; +} +.highlight .gd { + color: #000000; + background-color: #ffdddd; +} +.highlight .ge { + color: #000000; + font-style: italic; +} +.highlight .gr { + color: #aa0000; +} +.highlight .gh { + color: #999999; +} +.highlight .gi { + color: #000000; + background-color: #ddffdd; +} +.highlight .go { + color: #888888; +} +.highlight .gp { + color: #555555; +} +.highlight .gs { + font-weight: bold; +} +.highlight .gu { + color: #aaaaaa; +} +.highlight .gt { + color: #aa0000; +} +.highlight .kc { + color: #000000; + font-weight: bold; +} +.highlight .kd { + color: #000000; + font-weight: bold; +} +.highlight .kn { + color: #000000; + font-weight: bold; +} +.highlight .kp { + color: #000000; + font-weight: bold; +} +.highlight .kr { + color: #000000; + font-weight: bold; +} +.highlight .kt { + color: #445588; + font-weight: bold; +} +.highlight .k, .highlight .kv { + color: #000000; + font-weight: bold; +} +.highlight .mf { + color: #009999; +} +.highlight .mh { + color: #009999; +} +.highlight .il { + color: #009999; +} +.highlight .mi { + color: #009999; +} +.highlight .mo { + color: #009999; +} +.highlight .m, .highlight .mb, .highlight .mx { + color: #009999; +} +.highlight .sb { + color: #d14; +} +.highlight .sc { + color: #d14; +} +.highlight .sd { + color: #d14; +} +.highlight .s2 { + color: #d14; +} +.highlight .se { + color: #d14; +} +.highlight .sh { + color: #d14; +} +.highlight .si { + color: #d14; +} +.highlight .sx { + color: #d14; +} +.highlight .sr { + color: #009926; +} +.highlight .s1 { + color: #d14; +} +.highlight .ss { + color: #990073; +} +.highlight .s { + color: #d14; +} +.highlight .na { + color: #008080; +} +.highlight .bp { + color: #999999; +} +.highlight .nb { + color: #0086B3; +} +.highlight .nc { + color: #445588; + font-weight: bold; +} +.highlight .no { + color: #008080; +} +.highlight .nd { + color: #3c5d5d; + font-weight: bold; +} +.highlight .ni { + color: #800080; +} +.highlight .ne { + color: #990000; + font-weight: bold; +} +.highlight .nf { + color: #990000; + font-weight: bold; +} +.highlight .nl { + color: #990000; + font-weight: bold; +} +.highlight .nn { + color: #555555; +} +.highlight .nt { + color: #000080; +} +.highlight .vc { + color: #008080; +} +.highlight .vg { + color: #008080; +} +.highlight .vi { + color: #008080; +} +.highlight .nv { + color: #008080; +} +.highlight .ow { + color: #000000; + font-weight: bold; +} +.highlight .o { + color: #000000; + font-weight: bold; +} +.highlight .w { + color: #bbbbbb; +} +.highlight { + background-color: #f8f8f8; +} diff --git a/old_website/another-page.md b/old_website/another-page.md new file mode 100644 index 0000000..c35fc64 --- /dev/null +++ b/old_website/another-page.md @@ -0,0 +1,15 @@ +--- +layout: default +--- + +## Un pequeño resumen de mi +[English here](./) + +El de la foto soy yo, Tomás Ahumada. Estoy actualmente cursando el tercer año del programa de doctorado en astronomía de la Universidad de Maryland, en College Park, EEUU. En los últimos dos años he estado trabajando con el Dr. Leo Singer (NASA) usando el instrumento Zwicky Transient Facility (ZTF) para buscar las esquivas contrapartes ópticas de los 'short Gamma-ray Bursts' y de ondas gravitacionales. Usamos este instrumento porque las localizaciones entregadas por los detectores de rayos gamma y ondas gravitacionales normalmente cubren cientos de grados cuadrados. En otras palabras, una gran porción del cielo. La ventaja de ZTF es que cada imagen cubre gran parte del cielo también, por lo que podemos tomar varias imagenes de la zona para maximizar la probabilidad de encontrar la contraparte. + +Egresé de la Licenciatura en Astronomía de la P. Universidad Católica de Chile en Junio de 2016 y durante mi pregrado trabajé con el Prof. Felipe Barrientos y el Prof. Karim Pichara construyendo un clasificador de 'ramdom forest' para separar con mayor presición los quasares de la campaña observacional ATLAS. + +En el verano de 2016 (Enero-Marzo) fui parte del programa 'Práctica en Investigación en Astronomía' organizado por el Observatorio Cerro Tololo (CTIO). Durante 10 semanas trabajé con el Dr. Bryan Miller del Observatorio Gemini en la detección de cúmulos globulares de la galaxia NGC3923. Gracias a esa experiencia pude participar en la conferencia de invierno de la American Astronomical Society (AAS) y presentar mi trabajo por primera vez fuera de Chile. Este trabajo lo continué una vez egresado del pregrado, como interno en el observatorio Gemini. Durante esos 6 meses trabajamos en el modelamiento de la luz de la galaxia para estudiar las prominentes capas ('shells') de esta misma. + + + diff --git a/assets/css/style.scss b/old_website/assets/css/style.scss similarity index 100% rename from assets/css/style.scss rename to old_website/assets/css/style.scss diff --git a/assets/fonts/Noto-Sans-700/Noto-Sans-700.eot b/old_website/assets/fonts/Noto-Sans-700/Noto-Sans-700.eot similarity index 100% rename from assets/fonts/Noto-Sans-700/Noto-Sans-700.eot rename to old_website/assets/fonts/Noto-Sans-700/Noto-Sans-700.eot diff --git a/assets/fonts/Noto-Sans-700/Noto-Sans-700.svg b/old_website/assets/fonts/Noto-Sans-700/Noto-Sans-700.svg similarity index 100% rename from assets/fonts/Noto-Sans-700/Noto-Sans-700.svg rename to old_website/assets/fonts/Noto-Sans-700/Noto-Sans-700.svg diff --git a/assets/fonts/Noto-Sans-700/Noto-Sans-700.ttf b/old_website/assets/fonts/Noto-Sans-700/Noto-Sans-700.ttf similarity index 100% rename from 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a/assets/js/scale.fix.js b/old_website/assets/js/scale.fix.js similarity index 100% rename from assets/js/scale.fix.js rename to old_website/assets/js/scale.fix.js diff --git a/old_website/bio_es.md b/old_website/bio_es.md new file mode 100644 index 0000000..c35fc64 --- /dev/null +++ b/old_website/bio_es.md @@ -0,0 +1,15 @@ +--- +layout: default +--- + +## Un pequeño resumen de mi +[English here](./) + +El de la foto soy yo, Tomás Ahumada. Estoy actualmente cursando el tercer año del programa de doctorado en astronomía de la Universidad de Maryland, en College Park, EEUU. En los últimos dos años he estado trabajando con el Dr. Leo Singer (NASA) usando el instrumento Zwicky Transient Facility (ZTF) para buscar las esquivas contrapartes ópticas de los 'short Gamma-ray Bursts' y de ondas gravitacionales. Usamos este instrumento porque las localizaciones entregadas por los detectores de rayos gamma y ondas gravitacionales normalmente cubren cientos de grados cuadrados. En otras palabras, una gran porción del cielo. La ventaja de ZTF es que cada imagen cubre gran parte del cielo también, por lo que podemos tomar varias imagenes de la zona para maximizar la probabilidad de encontrar la contraparte. + +Egresé de la Licenciatura en Astronomía de la P. Universidad Católica de Chile en Junio de 2016 y durante mi pregrado trabajé con el Prof. Felipe Barrientos y el Prof. Karim Pichara construyendo un clasificador de 'ramdom forest' para separar con mayor presición los quasares de la campaña observacional ATLAS. + +En el verano de 2016 (Enero-Marzo) fui parte del programa 'Práctica en Investigación en Astronomía' organizado por el Observatorio Cerro Tololo (CTIO). Durante 10 semanas trabajé con el Dr. Bryan Miller del Observatorio Gemini en la detección de cúmulos globulares de la galaxia NGC3923. Gracias a esa experiencia pude participar en la conferencia de invierno de la American Astronomical Society (AAS) y presentar mi trabajo por primera vez fuera de Chile. Este trabajo lo continué una vez egresado del pregrado, como interno en el observatorio Gemini. Durante esos 6 meses trabajamos en el modelamiento de la luz de la galaxia para estudiar las prominentes capas ('shells') de esta misma. + + + diff --git a/old_website/docs/CODE_OF_CONDUCT.md b/old_website/docs/CODE_OF_CONDUCT.md new file mode 100644 index 0000000..ab1a9a1 --- /dev/null +++ b/old_website/docs/CODE_OF_CONDUCT.md @@ -0,0 +1,46 @@ +# Contributor Covenant Code of Conduct + +## Our Pledge + +In the interest of fostering an open and welcoming environment, we as contributors and maintainers pledge to making participation in our project and our community a harassment-free experience for everyone, regardless of age, body size, disability, ethnicity, gender identity and expression, level of experience, nationality, personal appearance, race, religion, or sexual identity and orientation. + +## Our Standards + +Examples of behavior that contributes to creating a positive environment include: + +* Using welcoming and inclusive language +* Being respectful of differing viewpoints and experiences +* Gracefully accepting constructive criticism +* Focusing on what is best for the community +* Showing empathy towards other community members + +Examples of unacceptable behavior by participants include: + +* The use of sexualized language or imagery and unwelcome sexual attention or advances +* Trolling, insulting/derogatory comments, and personal or political attacks +* Public or private harassment +* Publishing others' private information, such as a physical or electronic address, without explicit permission +* Other conduct which could reasonably be considered inappropriate in a professional setting + +## Our Responsibilities + +Project maintainers are responsible for clarifying the standards of acceptable behavior and are expected to take appropriate and fair corrective action in response to any instances of unacceptable behavior. + +Project maintainers have the right and responsibility to remove, edit, or reject comments, commits, code, wiki edits, issues, and other contributions that are not aligned to this Code of Conduct, or to ban temporarily or permanently any contributor for other behaviors that they deem inappropriate, threatening, offensive, or harmful. + +## Scope + +This Code of Conduct applies both within project spaces and in public spaces when an individual is representing the project or its community. Examples of representing a project or community include using an official project e-mail address, posting via an official social media account, or acting as an appointed representative at an online or offline event. Representation of a project may be further defined and clarified by project maintainers. + +## Enforcement + +Instances of abusive, harassing, or otherwise unacceptable behavior may be reported by contacting the project team at opensource@github.com. The project team will review and investigate all complaints, and will respond in a way that it deems appropriate to the circumstances. The project team is obligated to maintain confidentiality with regard to the reporter of an incident. Further details of specific enforcement policies may be posted separately. + +Project maintainers who do not follow or enforce the Code of Conduct in good faith may face temporary or permanent repercussions as determined by other members of the project's leadership. + +## Attribution + +This Code of Conduct is adapted from the [Contributor Covenant][homepage], version 1.4, available at [http://contributor-covenant.org/version/1/4][version] + +[homepage]: http://contributor-covenant.org +[version]: http://contributor-covenant.org/version/1/4/ diff --git a/old_website/docs/CONTRIBUTING.md b/old_website/docs/CONTRIBUTING.md new file mode 100644 index 0000000..37c3520 --- /dev/null +++ b/old_website/docs/CONTRIBUTING.md @@ -0,0 +1,88 @@ +# Contributing to The Minimal Theme + +Hi there! We're thrilled that you'd like to contribute to The Minimal Theme. Your help is essential for keeping it great. + +The Minimal Theme is an open source project supported by the efforts of an entire community and built one contribution at a time by users like you. We'd love for you to get involved. Whatever your level of skill or however much time you can give, your contribution is greatly appreciated. There are many ways to contribute, from writing tutorials or blog posts, improving the documentation, submitting bug reports and feature requests, helping other users by commenting on issues, or writing code which can be incorporated into The Minimal Theme itself. + +Following these guidelines helps to communicate that you respect the time of the developers managing and developing this open source project. In return, they should reciprocate that respect in addressing your issue, assessing changes, and helping you finalize your pull requests. + + +## Looking for support? + +We'd love to help. Check out [the support guidelines](SUPPORT.md). + +## How to report a bug + +Think you found a bug? Please check [the list of open issues](https://github.com/pages-themes/minimal/issues) to see if your bug has already been reported. If it hasn't please [submit a new issue](https://github.com/pages-themes/minimal/issues/new). + +Here are a few tips for writing *great* bug reports: + +* Describe the specific problem (e.g., "widget doesn't turn clockwise" versus "getting an error") +* Include the steps to reproduce the bug, what you expected to happen, and what happened instead +* Check that you are using the latest version of the project and its dependencies +* Include what version of the project your using, as well as any relevant dependencies +* Only include one bug per issue. If you have discovered two bugs, please file two issues +* Even if you don't know how to fix the bug, including a failing test may help others track it down + +**If you find a security vulnerability, do not open an issue. Please email security@github.com instead.** + +## How to suggest a feature or enhancement + +If you find yourself wishing for a feature that doesn't exist in The Minimal Theme, you are probably not alone. There are bound to be others out there with similar needs. Many of the features that The Minimal Theme has today have been added because our users saw the need. + +Feature requests are welcome. But take a moment to find out whether your idea fits with the scope and goals of the project. It's up to you to make a strong case to convince the project's developers of the merits of this feature. Please provide as much detail and context as possible, including describing the problem you're trying to solve. + +[Open an issue](https://github.com/pages-themes/minimal/issues/new) which describes the feature you would like to see, why you want it, how it should work, etc. + + + +## Your first contribution + +We'd love for you to contribute to the project. Unsure where to begin contributing to The Minimal Theme? You can start by looking through these "good first issue" and "help wanted" issues: + +* [Good first issues](https://github.com/pages-themes/minimal/issues?q=is%3Aissue+is%3Aopen+label%3A%22good+first+issue%22) - issues which should only require a few lines of code and a test or two +* [Help wanted issues](https://github.com/pages-themes/minimal/issues?q=is%3Aissue+is%3Aopen+label%3A%22help+wanted%22) - issues which may be a bit more involved, but are specifically seeking community contributions + +*p.s. Feel free to ask for help; everyone is a beginner at first* :smiley_cat: + +## How to propose changes + +Here's a few general guidelines for proposing changes: + +* If you are making visual changes, include a screenshot of what the affected element looks like, both before and after. +* Follow the [Jekyll style guide](https://ben.balter.com/jekyll-style-guide). +* If you are changing any user-facing functionality, please be sure to update the documentation +* Each pull request should implement **one** feature or bug fix. If you want to add or fix more than one thing, submit more than one pull request +* Do not commit changes to files that are irrelevant to your feature or bug fix +* Don't bump the version number in your pull request (it will be bumped prior to release) +* Write [a good commit message](http://tbaggery.com/2008/04/19/a-note-about-git-commit-messages.html) + +At a high level, [the process for proposing changes](https://guides.github.com/introduction/flow/) is: + +1. [Fork](https://github.com/pages-themes/minimal/fork) and clone the project +2. Configure and install the dependencies: `script/bootstrap` +3. Make sure the tests pass on your machine: `script/cibuild` +4. Create a new branch: `git checkout -b my-branch-name` +5. Make your change, add tests, and make sure the tests still pass +6. Push to your fork and [submit a pull request](https://github.com/pages-themes/minimal/compare) +7. Pat your self on the back and wait for your pull request to be reviewed and merged + +**Interesting in submitting your first Pull Request?** It's easy! You can learn how from this *free* series [How to Contribute to an Open Source Project on GitHub](https://egghead.io/series/how-to-contribute-to-an-open-source-project-on-github) + +## Bootstrapping your local development environment + +`script/bootstrap` + +## Running tests + +`script/cibuild` + +## Code of conduct + +This project is governed by [the Contributor Covenant Code of Conduct](CODE_OF_CONDUCT.md). By participating, you are expected to uphold this code. + +## Additional Resources + +* [Contributing to Open Source on GitHub](https://guides.github.com/activities/contributing-to-open-source/) +* [Using Pull Requests](https://help.github.com/articles/using-pull-requests/) +* [GitHub Help](https://help.github.com) diff --git a/old_website/docs/SUPPORT.md b/old_website/docs/SUPPORT.md new file mode 100644 index 0000000..f4b158d --- /dev/null +++ b/old_website/docs/SUPPORT.md @@ -0,0 +1,9 @@ +## Where to get help + +If you think you've found a bug in The Minimal Theme, please [check the existing issues](https://github.com/pages-themes/minimal/issues), and if no one has reported the problem, [open a new issue](https://github.com/pages-themes/minimal/issues/new). + +If you have a general question about the theme, how to implement it, or how to customize it for your site you have two options: + +1. [Contact GitHub Support](https://github.com/contact?form%5Bsubject%5D=GitHub%20Pages%20theme%20pages-themes/minimal), or + +2. Ask your question of the Jekyll community on [talk.jekyllrb.com](https://talk.jekyllrb.com/) diff --git a/old_website/example_page b/old_website/example_page new file mode 100644 index 0000000..94d0059 --- /dev/null +++ b/old_website/example_page @@ -0,0 +1,124 @@ +--- +layout: default +--- + +Text can be **bold**, _italic_, or ~~strikethrough~~. + +[Link to another page](./another-page.html). + +There should be whitespace between paragraphs. + +There should be whitespace between paragraphs. We recommend including a README, or a file with information about your project. + +# Header 1 + +This is a normal paragraph following a header. GitHub is a code hosting platform for version control and collaboration. It lets you and others work together on projects from anywhere. + +## Header 2 + +> This is a blockquote following a header. +> +> When something is important enough, you do it even if the odds are not in your favor. + +### Header 3 + +```js +// Javascript code with syntax highlighting. +var fun = function lang(l) { + dateformat.i18n = require('./lang/' + l) + return true; +} +``` + +```ruby +# Ruby code with syntax highlighting +GitHubPages::Dependencies.gems.each do |gem, version| + s.add_dependency(gem, "= #{version}") +end +``` + +#### Header 4 + +* This is an unordered list following a header. +* This is an unordered list following a header. +* This is an unordered list following a header. + +##### Header 5 + +1. This is an ordered list following a header. +2. This is an ordered list following a header. +3. This is an ordered list following a header. + +###### Header 6 + +| head1 | head two | three | +|:-------------|:------------------|:------| +| ok | good swedish fish | nice | +| out of stock | good and plenty | nice | +| ok | good `oreos` | hmm | +| ok | good `zoute` drop | yumm | + +### There's a horizontal rule below this. + +* * * + +### Here is an unordered list: + +* Item foo +* Item bar +* Item baz +* Item zip + +### And an ordered list: + +1. Item one +1. Item two +1. Item three +1. Item four + +### And a nested list: + +- level 1 item + - level 2 item + - level 2 item + - level 3 item + - level 3 item +- level 1 item + - level 2 item + - level 2 item + - level 2 item +- level 1 item + - level 2 item + - level 2 item +- level 1 item + +### Small image + +![Octocat](https://assets-cdn.github.com/images/icons/emoji/octocat.png) + +### Large image + +![Branching](https://guides.github.com/activities/hello-world/branching.png) + + +### Definition lists can be used with HTML syntax. + +
    +
    Name
    +
    Godzilla
    +
    Born
    +
    1952
    +
    Birthplace
    +
    Japan
    +
    Color
    +
    Green
    +
    + +``` +Long, single-line code blocks should not wrap. They should horizontally scroll if they are too long. This line should be long enough to demonstrate this. +``` + +``` +The final element. +``` + diff --git a/old_website/glg_healpix_all_bn210204270_unocculted.fit b/old_website/glg_healpix_all_bn210204270_unocculted.fit new file mode 100644 index 0000000..3672110 --- /dev/null +++ b/old_website/glg_healpix_all_bn210204270_unocculted.fit @@ -0,0 +1,3529 @@ +SIMPLE = T / conforms to FITS standard BITPIX = 8 / array data type NAXIS = 0 / number of array dimensions EXTEND = T CREATOR = 'GBM_healpix.py 2.0' FILETYPE= 'IMAGE ' / Name for this type of FITS file TELESCOP= 'GLAST ' / Name of mission/satellite INSTRUME= 'GBM ' / Specific instrument used for observation OBSERVER= 'Meegan ' / GLAST Burst Monitor P.I. ORIGIN = 'GIOC ' / Name of organization making file DATE = '2021-02-04T10:01:38' / file creation date (YYYY-MM-DDThh:mm:ss UT) DATE-OBS= '2021-02-04T06:27:13' / Date of start of observation DATE-END= '2021-02-04T06:37:27' / Date of end of observation TIMESYS = 'TT ' / Time system used in time keywords TIMEUNIT= 's ' / Time since MJDREF, used in TSTART and TSTOP MJDREFI = 51910 / MJD of GLAST reference epoch, integer part MJDREFF = '7.428703703703703e-4' / MJD of GLAST reference epoch, fractional partTSTART = 634112833.437526 / [GLAST MET] Observation start time TSTOP = 634113447.849066 / [GLAST MET] Observation stop time FILENAME= 'glg_healpix_all_bn210204270_v01.fit' TRIGTIME= 634112970.655966 / Trigger time relative to MJDREF, double precisiOBJECT = 'GRB210204270' / Burst name in standard format, yymmddfff RADECSYS= 'FK5 ' / Stellar reference frame EQUINOX = 2000.0 / Equinox for RA and Dec RA_OBJ = 116.12 / Calculated RA of burst DEC_OBJ = 12.7 / Calculated Dec of burst ERR_RAD = 1.32 / Calculated Location Error Radius THETA = 65.503 / [deg] Angle from spacecraft zenith PHI = 188.592 / [deg] Angle from spacecraft +X axis toward +Y LOC_SRC = 'Fermi, GBM' / Mission/Instrument providing the localization CLASS = 'GRB ' / Classification of trigger OBJ_CLAS= 'GRB ' / Classification of trigger GEO_LONG= 194.1833 / [deg] Spacecraft geographical east longitude GEO_LAT = 24.75 / [deg] Spacecraft geographical north latitude RA_SCX = 322.4019 / [deg] Pointing of spacecraft x-axis: RA DEC_SCX = -18.0891 / [deg] Pointing of spacecraft x-axis: Dec RA_SCZ = 61.1629 / [deg] Pointing of spacecraft z-axis: RA DEC_SCZ = -24.9998 / [deg] Pointing of spacecraft z-axis: Dec LOC_VER = 'dol v4.15adb3' / Version string of localizing software LOC_ENRG= '(50, 300)' / Energy range used for localization LMETHOD = 'Interactive' / Method of localization CHECKSUM= 'W4aHX1R9W1XEW1X9' / HDU checksum updated 2021-02-05T13:48:11 DATASUM = '0 ' / data unit checksum updated 2021-02-05T13:48:11 END XTENSION= 'BINTABLE' / binary table extension BITPIX = 8 / array data type NAXIS = 2 / number of array dimensions NAXIS1 = 8192 / length of dimension 1 NAXIS2 = 192 / length of dimension 2 PCOUNT = 0 / number of group parameters GCOUNT = 1 / number of groups TFIELDS = 2 / number of table fields TTYPE1 = 'PROBABILITY' / Differential probability per pixel TFORM1 = '1024E ' TTYPE2 = 'SIGNIFICANCE' / Integrated probability TFORM2 = '1024E ' PIXTYPE = 'HEALPIX ' / HEALPIX pixelisation ORDERING= 'NESTED ' / Pixel ordering scheme, either RING or NESTED COORDSYS= 'C ' / Ecliptic, Galactic or Celestial (equatorial) EXTNAME = 'HEALPIX ' / name of this binary table extension NSIDE = 128 / Resolution parameter of HEALPIX FIRSTPIX= 0 / First pixel # (0 based) LASTPIX = 196608 / Last pixel # (0 based) INDXSCHM= 'IMPLICIT' / Indexing: IMPLICIT or EXPLICIT OBJECT = 'GRB210204270' / Sky coverage, either FULLSKY or PARTIAL SUN_RA = 317.8270788224626 / RA of Sun SUN_DEC = -16.22698054900586 / Dec of Sun GEO_RA = 261.1905094556336 / RA of Geocenter relative to Fermi GEO_DEC = -22.50224772117364 / Dec of Geocenter relative to Fermi GEO_RAD = 67.52137439899168 / Radius of the Earth N0_RA = 61.43294266078619 / RA pointing for detector n0 N0_DEC = -45.6358891588896 / Dec pointing for detector n0 N1_RA = 34.73456090061218 / RA pointing for detector n1 N1_DEC = -65.77602266505727 / Dec pointing for detector n1 N2_RA = 265.3429966806795 / RA pointing for detector n2 N2_DEC = -62.54494572438391 / Dec pointing for detector n2 N3_RA = 28.88723854533037 / RA pointing for detector n3 N3_DEC = -5.45966928392007 / Dec pointing for detector n3 N4_RA = 356.1698605877363 / RA pointing for detector n4 N4_DEC = 28.3459550595872 / Dec pointing for detector n4 N5_RA = 327.6055717572743 / RA pointing for detector n5 N5_DEC = -25.22272700815677 / Dec pointing for detector n5 N6_RA = 77.86750414623322 / RA pointing for detector n6 N6_DEC = -7.16796489935357 / Dec pointing for detector n6 N7_RA = 86.19900743564637 / RA pointing for detector n7 N7_DEC = 17.23034145416832 / Dec pointing for detector n7 N8_RA = 89.26386809368374 / RA pointing for detector n8 N8_DEC = 62.25711896196795 / Dec pointing for detector n8 N9_RA = 123.2429013659035 / RA pointing for detector n9 N9_DEC = -31.96011505844396 / Dec pointing for detector n9 NA_RA = 176.5116481643322 / RA pointing for detector na NA_DEC = -27.49666469316396 / Dec pointing for detector na NB_RA = 147.4992395032682 / RA pointing for detector nb NB_DEC = 25.61639367430332 / Dec pointing for detector nb B0_RA = 329.1858620191899 / RA pointing for detector b0 B0_DEC = -22.19390511721879 / Dec pointing for detector b0 B1_RA = 149.18586201919 / RA pointing for detector b1 B1_DEC = 22.19390511721878 / Dec pointing for detector b1 CHECKSUM= 'SHpAT9n0SEn7S9n7' / HDU checksum updated 2021-02-05T13:48:11 DATASUM = '2643990815' / data unit checksum updated 2021-02-05T13:48:11 COMMENT SCPOS: [ 976114. 6298412. 2640325.] COMMENT QUAT: [-0.78830893 0.31885356 0.02702949 0.52551766] END /p/O/]=/zOX/͓//|//KGG/f/:/SX/R//o/ 3//^/dv/q/0 /B0y//=[/%/<///7#/p/+U/B /-W/2]/[E/xL/IE/d//#T//D/8/QH/)[/?/D/Y/I//S/P/0//l7//Y$/ua/ڷ/"//J001 050#;0F0_u07V0M0s0lD/W0 +g0)0=00.0y00f0><00-00Ѷ0T0n0D20[00f0v_@0[/R//Ј/0eK0!D0*0O///-/nA/~0{/M/@04g0J0&0:00c*20~O0QY0jq0HQ0,w0 0O0@j0X010FQ.n/ 4.݇+.T/{|/0 /t/!Z.ʺH..p .҈^/t/.$/ZR/G-/a(n/6/N/~P//iS/s/'Yw/=N/J/-w/U/q[/D /]..U... o.ڄ.E..8...@...LJ..~/ Z//s/t/3/K/$/: ./..//*_u/ ///Qg//o/=/*//#/T"//z//"/ܚ/v/00/zv00#d07%0K0(/ N/2/Ar/1\0 +00e/u0|=/eK/W/R#/m&/N/2y///@/YR/0F_/GG/u ?//`/}6/F/Ϲ//d/T0/A/2//4//{"/ĩe/ /pW/ʲ0õ!0tX008010A00700(0;h0'00A0k1 }1(1 η11:Պ1Ovz1,j1@w1D10Q11111D1$k0:m00'00{r00v0f0q0.F0^0y&0X0<090v0ܳJ000,110h1 u0D0ц@0o0P0C1 0H50(1f*N1 1U*1lYY1D1O11_1ER1Z161Je1r}191`z1x181'151_1Җ1* 1Z)1l1vB11[11 L1d1>111(S1;Xy1 1-61O]1f1@1T-1+|1 01!1\11t1D1$15ߡ1~11k_1F41y1*11B1Y'1q +1Io;1^13Z11vhV1 0M0eq0T1cϊ1{1R1hJ1*1/1wB1">71Bvp1VP131F0!0Ņ/000y0K0A%0000<0D0O000Z110%1 +N1%@17C11)H00 0ӑ01 11e1M.k./B.WIN.t,.}.&.;.'.DZ%._}.3".K.~).f.g\..q.ޮ.~i.ˊ0.5/}.4/=........).#&.9..)^.S#.p .@.[X._.O-q. 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\ No newline at end of file diff --git a/old_website/index.md b/old_website/index.md new file mode 100644 index 0000000..d94e325 --- /dev/null +++ b/old_website/index.md @@ -0,0 +1,17 @@ +--- +layout: default +--- + +[Lensed LDT SN](./LDT_SN/LDT_list.html). + +[test](./LDT_SN/SDSSJ1100+5329-SDSS-I/SDSSJ1100+5329-SDSS-I.html). + +[Para Español aquí](./bio_es.html). + +The one in the picture is me! I am Tomás Ahumada and I am a ~~first~~ ~~second~~ ~~third~~ fourth year Astronomy PhD student at the University of Maryland (UMD). I am a Chilean astronomer searching for optical counterparts of short gamma-ray bursts and gravitational waves. I am working with Dr. Leo Singer from NASA using the Zwicky Transient Facility to cover large portions of the sky and maximize the probability to find transients in the northern nightsky. + +I obtained my undergraduate degree from the P. Universidad Católica de Chile where I majored in Astronomy. While there, I worked with both Prof. Felipe Barrientos and Prof. Karim Pichara on using machine learning algorithms to find quasars in the ATLAS survey. + +During the southern hemisphere summer in 2016, I was part of the Cerro Tololo (CTIO) Reaserch Experience for Undergraduates and worked with Dr. Bryan Miller (from Gemini Observatory) on identifying globular clasters of the shell-elliptical galaxy NGC3923. After my graduation I interned at Gemini and further analyzed the morphology of the galaxy. + + diff --git a/old_website/jekyll-theme-minimal.gemspec b/old_website/jekyll-theme-minimal.gemspec new file mode 100644 index 0000000..df3dc5e --- /dev/null +++ b/old_website/jekyll-theme-minimal.gemspec @@ -0,0 +1,20 @@ +Gem::Specification.new do |s| + s.name = 'jekyll-theme-minimal' + s.version = '0.1.1' + s.license = 'CC0-1.0' + s.authors = ['Steve Smith', 'GitHub, Inc.'] + s.email = ['opensource+jekyll-theme-minimal@github.com'] + s.homepage = 'https://github.com/pages-themes/minimal' + s.summary = 'Minimal is a Jekyll theme for GitHub Pages' + + s.files = `git ls-files -z`.split("\x0").select do |f| + f.match(%r{^((_includes|_layouts|_sass|assets)/|(LICENSE|README)((\.(txt|md|markdown)|$)))}i) + end + + s.platform = Gem::Platform::RUBY + s.add_runtime_dependency 'jekyll', '> 3.5', '< 5.0' + s.add_runtime_dependency 'jekyll-seo-tag', '~> 2.0' + s.add_development_dependency 'html-proofer', '~> 3.0' + s.add_development_dependency 'rubocop', '~> 0.50' + s.add_development_dependency 'w3c_validators', '~> 1.3' +end diff --git a/old_website/script/bootstrap b/old_website/script/bootstrap new file mode 100755 index 0000000..492e553 --- /dev/null +++ b/old_website/script/bootstrap @@ -0,0 +1,6 @@ +#!/bin/sh + +set -e + +gem install bundler +bundle install diff --git a/old_website/script/cibuild b/old_website/script/cibuild new file mode 100755 index 0000000..a55da73 --- /dev/null +++ b/old_website/script/cibuild @@ -0,0 +1,9 @@ +#!/bin/sh + +set -e + +bundle exec jekyll build +bundle exec htmlproofer ./_site --check-html --check-sri --disable-external +bundle exec rubocop -D +bundle exec script/validate-html +gem build jekyll-theme-minimal.gemspec diff --git a/old_website/script/release b/old_website/script/release new file mode 100755 index 0000000..fdbcf9d --- /dev/null +++ b/old_website/script/release @@ -0,0 +1,42 @@ +#!/bin/sh +# Tag and push a release. + +set -e + +# Make sure we're in the project root. + +cd $(dirname "$0")/.. + +# Make sure the darn thing works + +bundle update + +# Build a new gem archive. + +rm -rf jekyll-theme-minimal-*.gem +gem build -q jekyll-theme-minimal.gemspec + +# Make sure we're on the master branch. + +(git branch | grep -q 'master') || { + echo "Only release from the master branch." + exit 1 +} + +# Figure out what version we're releasing. + +tag=v`ls jekyll-theme-minimal-*.gem | sed 's/^jekyll-theme-minimal-\(.*\)\.gem$/\1/'` + +# Make sure we haven't released this version before. + +git fetch -t origin + +(git tag -l | grep -q "$tag") && { + echo "Whoops, there's already a '${tag}' tag." + exit 1 +} + +# Tag it and bag it. + +gem push jekyll-theme-minimal-*.gem && git tag "$tag" && + git push origin master && git push origin "$tag" diff --git a/old_website/script/validate-html b/old_website/script/validate-html new file mode 100755 index 0000000..f6b17eb --- /dev/null +++ b/old_website/script/validate-html @@ -0,0 +1,27 @@ +#!/usr/bin/env ruby + +require 'w3c_validators' + +def validator(file) + extension = File.extname(file) + if extension == '.html' + W3CValidators::NuValidator.new + elsif extension == '.css' + W3CValidators::CSSValidator.new + end +end + +def validate(file) + puts "Checking #{file}..." + + path = File.expand_path "../_site/#{file}", __dir__ + results = validator(file).validate_file(path) + + return puts 'Valid!' if results.errors.empty? + + results.errors.each { |err| puts err.to_s } + exit 1 +end + +validate 'index.html' +validate File.join 'assets', 'css', 'style.css' diff --git a/old_website/thumbnail.png b/old_website/thumbnail.png new file mode 100644 index 0000000..e6c0478 Binary files /dev/null and b/old_website/thumbnail.png differ diff --git a/old_website/to_do.txt b/old_website/to_do.txt new file mode 100644 index 0000000..f444f9d --- /dev/null +++ b/old_website/to_do.txt @@ -0,0 +1,9 @@ +add links to: + outreach and Community resources + in the news + research + CV + contact + add pdf of: + CV +change pic