fix: files not needed anymore
This commit is contained in:
Laureηt
parent
0a21bbbe0d
commit
125eb8cbd3
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@ -1,881 +0,0 @@
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@charset "UTF-8";
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/*!
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* awsm.css v3.0.7 (https://igoradamenko.github.io/awsm.css/)
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* Copyright 2015 Igor Adamenko <mail@igoradamenko.com> (https://igoradamenko.com)
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* Licensed under MIT (https://github.com/igoradamenko/awsm.css/blob/master/LICENSE.md)
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*/
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html {
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font-family: system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", Roboto,
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Oxygen, Ubuntu, Cantarell, "PT Sans", "Open Sans", "Fira Sans", "Droid Sans",
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"Helvetica Neue", Helvetica, Arial, sans-serif;
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font-size: 100%;
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line-height: 1.4;
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background: #1b2d3e;
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color: #99c0c9;
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-webkit-overflow-scrolling: touch;
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}
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body {
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margin: 1.2em;
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font-size: 1rem;
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}
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@media (min-width: 20rem) {
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body {
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font-size: calc(1rem + 0.00625 * (100vw - 20rem));
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}
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}
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@media (min-width: 40rem) {
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body {
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font-size: 1.125rem;
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}
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}
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body header,
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body,
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body footer,
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body article {
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position: relative;
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max-width: 60rem;
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margin: 0 auto;
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}
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body > header {
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margin-bottom: 3.5em;
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}
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body > header h1 {
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margin: 0;
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font-size: 1.5em;
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}
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body > header p {
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margin: 0;
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font-size: 0.85em;
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}
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body > footer {
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margin-top: 6em;
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padding-bottom: 1.5em;
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text-align: center;
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font-size: 0.8rem;
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color: #145e86;
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}
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nav {
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margin: 1em 0;
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}
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nav ul {
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list-style: none;
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margin: 0;
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padding: 0;
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}
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nav li {
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display: inline-block;
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margin-right: 1em;
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margin-bottom: 0.25em;
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}
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nav li:last-child {
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margin-right: 0;
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}
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nav a:visited {
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color: #1570ab;
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}
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nav a:hover {
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color: #aec8e7;
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}
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ul,
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ol {
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margin-top: 0;
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padding-top: 0;
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padding-left: 2.5em;
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}
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ul li + li,
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ol li + li {
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margin-top: 0.25em;
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}
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ul li > details,
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ol li > details {
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margin: 0;
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}
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p {
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margin: 1em 0;
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-webkit-hyphens: auto;
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-ms-hyphens: auto;
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hyphens: auto;
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}
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p:first-child {
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margin-top: 0;
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}
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p:last-child {
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margin-bottom: 0;
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}
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p + ul,
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p + ol {
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margin-top: -0.75em;
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}
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p img,
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p picture {
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margin: auto;
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/* margin-bottom: 0.5em;
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margin-left: 0.5em; */
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}
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p picture img {
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float: none;
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margin: 0;
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}
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dd {
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margin-bottom: 1em;
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margin-left: 0;
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padding-left: 2.5em;
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}
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dt {
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font-weight: 700;
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}
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blockquote {
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margin: 0;
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padding-left: 2.5em;
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}
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aside {
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margin: 0.5em 0;
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font-style: italic;
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color: #145e86;
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}
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@media (min-width: 65rem) {
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aside {
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position: absolute;
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right: -12.5rem;
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width: 9.375rem;
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max-width: 9.375rem;
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margin: 0;
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padding-left: 0.5em;
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font-size: 0.8em;
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border-left: 1px solid #184165;
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}
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}
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aside:first-child {
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margin-top: 0;
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}
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aside:last-child {
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margin-bottom: 0;
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}
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section + section {
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margin-top: 2em;
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}
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h1,
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h2,
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h3,
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h4,
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h5,
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h6 {
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margin: 1.25em 0 0;
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line-height: 1.2;
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}
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h1:hover > a[href^="#"][id]:empty,
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h1:focus > a[href^="#"][id]:empty,
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h2:hover > a[href^="#"][id]:empty,
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h2:focus > a[href^="#"][id]:empty,
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h3:hover > a[href^="#"][id]:empty,
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h3:focus > a[href^="#"][id]:empty,
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h4:hover > a[href^="#"][id]:empty,
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h4:focus > a[href^="#"][id]:empty,
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h5:hover > a[href^="#"][id]:empty,
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h5:focus > a[href^="#"][id]:empty,
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h6:hover > a[href^="#"][id]:empty,
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h6:focus > a[href^="#"][id]:empty {
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opacity: 1;
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}
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h1 + p,
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h1 + details,
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h2 + p,
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h2 + details,
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h3 + p,
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h3 + details,
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h4 + p,
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h4 + details,
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h5 + p,
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h5 + details,
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h6 + p,
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h6 + details {
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margin-top: 0.5em;
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}
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h1 > a[href^="#"][id]:empty,
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h2 > a[href^="#"][id]:empty,
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h3 > a[href^="#"][id]:empty,
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h4 > a[href^="#"][id]:empty,
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h5 > a[href^="#"][id]:empty,
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h6 > a[href^="#"][id]:empty {
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position: absolute;
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left: -0.65em;
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opacity: 0;
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text-decoration: none;
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font-weight: 400;
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line-height: 1;
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color: #145e86;
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}
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@media (min-width: 40rem) {
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h1 > a[href^="#"][id]:empty,
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h2 > a[href^="#"][id]:empty,
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h3 > a[href^="#"][id]:empty,
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h4 > a[href^="#"][id]:empty,
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h5 > a[href^="#"][id]:empty,
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h6 > a[href^="#"][id]:empty {
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left: -0.8em;
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}
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}
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h1 > a[href^="#"][id]:empty:target,
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h1 > a[href^="#"][id]:empty:hover,
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h1 > a[href^="#"][id]:empty:focus,
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h2 > a[href^="#"][id]:empty:target,
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h2 > a[href^="#"][id]:empty:hover,
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h2 > a[href^="#"][id]:empty:focus,
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h3 > a[href^="#"][id]:empty:target,
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h3 > a[href^="#"][id]:empty:hover,
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h3 > a[href^="#"][id]:empty:focus,
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h4 > a[href^="#"][id]:empty:target,
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h4 > a[href^="#"][id]:empty:hover,
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h4 > a[href^="#"][id]:empty:focus,
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h5 > a[href^="#"][id]:empty:target,
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h5 > a[href^="#"][id]:empty:hover,
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h5 > a[href^="#"][id]:empty:focus,
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h6 > a[href^="#"][id]:empty:target,
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h6 > a[href^="#"][id]:empty:hover,
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h6 > a[href^="#"][id]:empty:focus {
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opacity: 1;
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box-shadow: none;
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color: #99c0c9;
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}
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h1 > a[href^="#"][id]:empty:target:focus,
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h2 > a[href^="#"][id]:empty:target:focus,
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h3 > a[href^="#"][id]:empty:target:focus,
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h4 > a[href^="#"][id]:empty:target:focus,
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h5 > a[href^="#"][id]:empty:target:focus,
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h6 > a[href^="#"][id]:empty:target:focus {
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outline: none;
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}
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h1 > a[href^="#"][id]:empty::before,
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h2 > a[href^="#"][id]:empty::before,
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h3 > a[href^="#"][id]:empty::before,
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h4 > a[href^="#"][id]:empty::before,
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h5 > a[href^="#"][id]:empty::before,
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h6 > a[href^="#"][id]:empty::before {
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content: "§ ";
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}
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h1 {
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font-size: 2.5em;
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}
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h2 {
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font-size: 1.75em;
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}
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h3 {
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font-size: 1.25em;
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}
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h4 {
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font-size: 1.15em;
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}
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h5 {
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font-size: 1em;
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}
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h6 {
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margin-top: 1em;
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font-size: 1em;
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color: #145e86;
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}
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article + article {
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margin-top: 4em;
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}
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article header p {
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font-size: 0.6em;
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color: #145e86;
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}
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article header p + h1,
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article header p + h2 {
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margin-top: -0.25em;
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}
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article header h1 + p,
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article header h2 + p {
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margin-top: 0.25em;
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}
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article header h1 a,
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article header h2 a {
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color: #99c0c9;
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}
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article header h1 a:visited,
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article header h2 a:visited {
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color: #145e86;
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}
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article header h1 a:visited:hover,
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article header h2 a:visited:hover {
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color: #aec8e7;
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}
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article > footer {
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margin-top: 1.5em;
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font-size: 0.85em;
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}
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a {
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color: #1570ab;
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}
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a:visited {
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color: #726191;
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}
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a:hover,
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a:active {
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outline-width: 0;
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}
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a:hover {
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color: #aec8e7;
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}
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a abbr {
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font-size: 1em;
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}
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abbr {
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margin-right: -0.075em;
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text-decoration: none;
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-webkit-hyphens: none;
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-ms-hyphens: none;
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hyphens: none;
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letter-spacing: 0.075em;
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font-size: 0.9em;
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}
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img,
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picture {
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display: block;
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max-width: 100%;
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margin: 0 auto;
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}
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audio,
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video {
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width: 100%;
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max-width: 100%;
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}
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img {
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margin: 1em 0 0.5em;
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padding: 0;
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}
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img + p {
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margin-top: 0.5em;
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}
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img figcaption {
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opacity: 0.65;
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font-size: 0.85em;
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}
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table {
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display: inline-block;
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border-spacing: 0;
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border-collapse: collapse;
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overflow-x: auto;
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max-width: 100%;
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text-align: left;
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vertical-align: top;
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background: linear-gradient(
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rgba(153, 192, 201, 0.15) 0%,
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rgba(153, 192, 201, 0.15) 100%
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)
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0 0,
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linear-gradient(
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rgba(153, 192, 201, 0.15) 0%,
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rgba(153, 192, 201, 0.15) 100%
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)
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100% 0;
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background-attachment: scroll, scroll;
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background-size: 1px 100%, 1px 100%;
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background-repeat: no-repeat, no-repeat;
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}
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table caption {
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font-size: 0.9em;
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background: #1b2d3e;
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}
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table td,
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table th {
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padding: 0.35em 0.75em;
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vertical-align: top;
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font-size: 0.9em;
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border: 1px solid #184165;
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border-top: 0;
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border-left: 0;
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}
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table td:first-child,
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table th:first-child {
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padding-left: 0;
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background-image: linear-gradient(
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to right,
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#1b2d3e 50%,
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rgba(27, 45, 62, 0) 100%
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);
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background-size: 2px 100%;
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background-repeat: no-repeat;
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}
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table td:last-child,
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table th:last-child {
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padding-right: 0;
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border-right: 0;
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background-image: linear-gradient(
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to left,
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#1b2d3e 50%,
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rgba(27, 45, 62, 0) 100%
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);
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background-position: 100% 0;
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background-size: 2px 100%;
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background-repeat: no-repeat;
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}
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table td:only-child,
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table th:only-child {
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background-image: linear-gradient(
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to right,
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#1b2d3e 50%,
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rgba(27, 45, 62, 0) 100%
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),
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linear-gradient(to left, #1b2d3e 50%, rgba(27, 45, 62, 0) 100%);
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background-position: 0 0, 100% 0;
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background-size: 2px 100%, 2px 100%;
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background-repeat: no-repeat, no-repeat;
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}
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table th {
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line-height: 1.2;
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}
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form {
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margin-right: auto;
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margin-left: auto;
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}
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@media (min-width: 40rem) {
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form {
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max-width: 80%;
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}
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}
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form select,
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form label {
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display: block;
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}
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form label:not(:first-child) {
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margin-top: 1em;
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}
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form p label {
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display: inline;
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}
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form p label + label {
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margin-left: 1em;
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}
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form legend:first-child + label {
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margin-top: 0;
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}
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form select,
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form input[type],
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form textarea {
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margin-bottom: 1em;
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}
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form input[type="checkbox"],
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form input[type="radio"] {
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margin-bottom: 0;
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}
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fieldset {
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margin: 0;
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padding: 0.5em 1em;
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border: 1px solid #145e86;
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}
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legend {
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color: #145e86;
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}
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button {
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outline: none;
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box-sizing: border-box;
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height: 2em;
|
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margin: 0;
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padding: calc(0.25em - 1px) 0.5em;
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font-family: inherit;
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font-size: 1em;
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border: 1px solid #145e86;
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border-radius: 2px;
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background: #1b2d3e;
|
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color: #99c0c9;
|
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display: inline-block;
|
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width: auto;
|
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background: #184165;
|
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color: #99c0c9;
|
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cursor: pointer;
|
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}
|
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button:focus {
|
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border: 1px solid #99c0c9;
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}
|
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button:not([disabled]):hover {
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border: 1px solid #99c0c9;
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}
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button:active {
|
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background-color: #145e86;
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}
|
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button[disabled] {
|
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color: #145e86;
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cursor: not-allowed;
|
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}
|
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|
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select {
|
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outline: none;
|
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box-sizing: border-box;
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height: 2em;
|
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margin: 0;
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padding: calc(0.25em - 1px) 0.5em;
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font-family: inherit;
|
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|
@ -1,183 +0,0 @@
|
|||
<!DOCTYPE html>
|
||||
<html xmlns="http://www.w3.org/1999/xhtml" lang="" xml:lang="">
|
||||
<head>
|
||||
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|
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<meta name="viewport" content="width=device-width, initial-scale=1.0, user-scalable=yes" />
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<title>rapport</title>
|
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<style>
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|
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<![endif]-->
|
||||
</head>
|
||||
<body>
|
||||
<center>
|
||||
<h1 id="classification-dans-rocket-league-sideswipe">Classification dans
|
||||
Rocket League Sideswipe</h1>
|
||||
Laurent Fainsin — Damien Guillotin — Pierre-Eliot Jourdan
|
||||
</center>
|
||||
<p>Lien vers notre <a
|
||||
href="https://github.com/Tocard-Inc/Deep-Learning">dépot GitHub</a>.</p>
|
||||
<p>Lien vers notre <a
|
||||
href="https://fainsil.users.inpt.fr/content/DL/dataset.zip">dataset</a>.</p>
|
||||
<h2 id="description">Description</h2>
|
||||
<p>Le but de ce projet est de permettre la reconnaissance
|
||||
(classification) de voitures dans le jeu vidéo mobile Rocket League
|
||||
Sideswipe, et ce peu importe les accessoires équipés tels que les roues,
|
||||
les chapeaux, les stickers, les couleurs…</p>
|
||||
<h2 id="méthodolgie-dacquisition-du-dataset">Méthodolgie d’acquisition
|
||||
du dataset</h2>
|
||||
<p>Pour acquérir les quelque 400 000 images de notre dataset, nous avons
|
||||
simplement écrit un script capable d’automatiser la customisation des
|
||||
modèles ainsi que la prise de screenshots. Il nous aura fallu environ 18
|
||||
heures pour constituer notre dataset.</p>
|
||||
<p>Notre dataset est un dossier contenant toutes nos images et une base
|
||||
de données sqlite3 faisant le lien entre les noms de nos screenshots
|
||||
(des uuids) et les paramètres de la voiture dans l’image.</p>
|
||||
<p>Par exemple <code>ec7d32da-ad24-11ec-813b-e0d4e8390134.jpg</code>
|
||||
correspond au modèle de voiture 2 (la werewolf) à la team 0 (les bleus),
|
||||
à la couleur primaire 50%, à la couleur secondaire 0%, au chapeau n°12
|
||||
(le Rasta), au sticker n°1 (le Kana), à la roue n°4 (l’Helicoprion) et à
|
||||
la 3ème rotation.</p>
|
||||
<p>Voici l’image associée:</p>
|
||||
<p><img src="image_methodo.jpg" /></p>
|
||||
<h2 id="méthodologie">Méthodologie</h2>
|
||||
<p>Nous pensons dans un premier temps fractionner notre dataset de la
|
||||
manière suivante:</p>
|
||||
<table>
|
||||
<thead>
|
||||
<tr class="header">
|
||||
<th style="text-align: center;">Train</th>
|
||||
<th style="text-align: center;">Test</th>
|
||||
<th style="text-align: center;">Validation</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr class="odd">
|
||||
<td style="text-align: center;">70%</td>
|
||||
<td style="text-align: center;">15%</td>
|
||||
<td style="text-align: center;">15%</td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
<p>Nous utiliserons les méthodes fournies par Tensorflow pour split
|
||||
notre dataset via ces proportions.</p>
|
||||
<p>Notre objectif final serait d’utiliser l’augmentation pour obtenir
|
||||
plus d’un million d’images.</p>
|
||||
<h2 id="pronostic">Pronostic</h2>
|
||||
<p>Si l’on décide d’évaluer le réseau sur des voitures avec une rotation
|
||||
qui est la même que lors de l’acquisition des données, le résultat
|
||||
devrait être plus que correct mais si l’on évalue le réseau sur une
|
||||
rotation différente, c’est là que les problèmes peuvent arriver, il se
|
||||
peut que l’on sur-apprenne la discrétion de nos rotations.</p>
|
||||
<h2 id="chargement-de-nos-données">Chargement de nos données</h2>
|
||||
<p>Comme nous possédons un grand nombre d’images et comme celles-ci sont
|
||||
réliées via un csv/sqlite3, nous allons devoir utiliser une <a
|
||||
href="https://www.tensorflow.org/tutorials/load_data/csv#using_tfdata">structure
|
||||
spéciale</a> de Tensorflow pour charger les images via leur association
|
||||
dans le csv/sqlite3, et aussi pour permettre de ne pas tout charger en
|
||||
mémoire (car notre dataset sera très probablement de taille supérieur à
|
||||
la RAM de nos machines).</p>
|
||||
<h2 id="exemple-du-dataset">Exemple du dataset</h2>
|
||||
<p><img src="demo_datas.gif" /></p>
|
||||
<table>
|
||||
<colgroup>
|
||||
<col style="width: 8%" />
|
||||
<col style="width: 23%" />
|
||||
<col style="width: 23%" />
|
||||
<col style="width: 23%" />
|
||||
<col style="width: 23%" />
|
||||
</colgroup>
|
||||
<thead>
|
||||
<tr class="header">
|
||||
<th style="text-align: center;">Rotation</th>
|
||||
<th style="text-align: center;">Octane</th>
|
||||
<th style="text-align: center;">AfterShock</th>
|
||||
<th style="text-align: center;">Werewolf</th>
|
||||
<th style="text-align: center;">Breakout</th>
|
||||
</tr>
|
||||
</thead>
|
||||
<tbody>
|
||||
<tr class="odd">
|
||||
<td style="text-align: center;">0</td>
|
||||
<td style="text-align: center;"><img src="demo_datas/0_0.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/1_0.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/2_0.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/3_0.jpg" /></td>
|
||||
</tr>
|
||||
<tr class="even">
|
||||
<td style="text-align: center;">1</td>
|
||||
<td style="text-align: center;"><img src="demo_datas/0_1.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/1_1.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/2_1.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/3_1.jpg" /></td>
|
||||
</tr>
|
||||
<tr class="odd">
|
||||
<td style="text-align: center;">2</td>
|
||||
<td style="text-align: center;"><img src="demo_datas/0_2.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/1_2.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/2_2.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/3_2.jpg" /></td>
|
||||
</tr>
|
||||
<tr class="even">
|
||||
<td style="text-align: center;">3</td>
|
||||
<td style="text-align: center;"><img src="demo_datas/0_3.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/1_3.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/2_3.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/3_3.jpg" /></td>
|
||||
</tr>
|
||||
<tr class="odd">
|
||||
<td style="text-align: center;">4</td>
|
||||
<td style="text-align: center;"><img src="demo_datas/0_4.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/1_4.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/2_4.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/3_4.jpg" /></td>
|
||||
</tr>
|
||||
<tr class="even">
|
||||
<td style="text-align: center;">5</td>
|
||||
<td style="text-align: center;"><img src="demo_datas/0_5.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/1_5.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/2_5.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/3_5.jpg" /></td>
|
||||
</tr>
|
||||
<tr class="odd">
|
||||
<td style="text-align: center;">6</td>
|
||||
<td style="text-align: center;"><img src="demo_datas/0_6.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/1_6.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/2_6.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/3_6.jpg" /></td>
|
||||
</tr>
|
||||
<tr class="even">
|
||||
<td style="text-align: center;">7</td>
|
||||
<td style="text-align: center;"><img src="demo_datas/0_7.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/1_7.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/2_7.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/3_7.jpg" /></td>
|
||||
</tr>
|
||||
<tr class="odd">
|
||||
<td style="text-align: center;">8</td>
|
||||
<td style="text-align: center;"><img src="demo_datas/0_8.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/1_8.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/2_8.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/3_8.jpg" /></td>
|
||||
</tr>
|
||||
<tr class="even">
|
||||
<td style="text-align: center;">9</td>
|
||||
<td style="text-align: center;"><img src="demo_datas/0_9.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/1_9.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/2_9.jpg" /></td>
|
||||
<td style="text-align: center;"><img src="demo_datas/3_9.jpg" /></td>
|
||||
</tr>
|
||||
</tbody>
|
||||
</table>
|
||||
</body>
|
||||
</html>
|
||||
Loading…
Reference in a new issue