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dbois/public/fonts/mfglabs/mfglabs.css
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2017-12-14 10:17:13 +01:00

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@charset "utf-8";
/**
* Mfglabs iconset
* Created by MfgLabs
* https://github.com/MfgLabs/mfglabs-iconset
* CC BY-SA License
*/
@font-face {
font-family: "Mfglabs iconset";
font-style: normal;
font-weight: normal;
src: url("./mfglabs.eot?v=");
src: url("./mfglabs.eot?#iefix&v=") format("embedded-opentype"), url("./mfglabs.woff?v=") format("woff"), url("./mfglabs.ttf?v=") format("truetype"), url("./mfglabs.svg?v=#mfglabs") format("svg");
}
[class^="ml-"], [class*=" ml-"] {
position: relative;
display: inline-block;
font-family: "Mfglabs iconset";
font-style: normal;
font-weight: normal;
-webkit-transform: translate(0, 0);
transform: translate(0, 0);
-webkit-font-smoothing: antialiased;
-moz-osx-font-smoothing: grayscale;
speak: none;
text-rendering: auto;
}
.ml-cloud:before {
content: "☁";
}
.ml-at:before {
content: "@";
}
.ml-plus:before {
content: "+";
}
.ml-minus:before {
content: "−";
}
.ml-arrow-up:before {
content: "↑";
}
.ml-arrow-down:before {
content: "↓";
}
.ml-arrow-right:before {
content: "→";
}
.ml-arrow-left:before {
content: "←";
}
.ml-chevron-down:before {
content: "";
}
.ml-chevron-up:before {
content: "";
}
.ml-chevron-right:before {
content: "";
}
.ml-chevron-left:before {
content: "";
}
.ml-reorder:before {
content: "";
}
.ml-list:before {
content: "";
}
.ml-reorder-square:before {
content: "";
}
.ml-reorder-square-line:before {
content: "";
}
.ml-coverflow:before {
content: "";
}
.ml-coverflow-line:before {
content: "";
}
.ml-pause:before {
content: "";
}
.ml-play:before {
content: "";
}
.ml-step-forward:before {
content: "";
}
.ml-step-backward:before {
content: "";
}
.ml-fast-forward:before {
content: "";
}
.ml-fast-backward:before {
content: "";
}
.ml-cloud-upload:before {
content: "";
}
.ml-cloud-download:before {
content: "";
}
.ml-data-science:before {
content: "";
}
.ml-data-science-black:before {
content: "";
}
.ml-globe:before {
content: "";
}
.ml-globe-black:before {
content: "";
}
.ml-math-ico:before {
content: "";
}
.ml-math:before {
content: "";
}
.ml-math-black:before {
content: "";
}
.ml-paperplane-ico:before {
content: "";
}
.ml-paperplane:before {
content: "";
}
.ml-paperplane-black:before {
content: "";
}
.ml-color-balance:before {
content: "";
}
.ml-star:before {
content: "★";
}
.ml-star-half:before {
content: "";
}
.ml-star-empty:before {
content: "☆";
}
.ml-star-half-empty:before {
content: "";
}
.ml-reload:before {
content: "";
}
.ml-heart:before {
content: "♥";
}
.ml-heart-broken:before {
content: "";
}
.ml-hashtag:before {
content: "";
}
.ml-reply:before {
content: "";
}
.ml-retweet:before {
content: "";
}
.ml-signin:before {
content: "";
}
.ml-signout:before {
content: "";
}
.ml-download:before {
content: "";
}
.ml-upload:before {
content: "";
}
.ml-placepin:before {
content: "";
}
.ml-display-screen:before {
content: "";
}
.ml-tablet:before {
content: "";
}
.ml-smartphone:before {
content: "";
}
.ml-connected-object:before {
content: "";
}
.ml-lock:before {
content: "";
}
.ml-unlock:before {
content: "";
}
.ml-camera:before {
content: "";
}
.ml-isight:before {
content: "";
}
.ml-video-camera:before {
content: "";
}
.ml-random:before {
content: "";
}
.ml-message:before {
content: "";
}
.ml-discussion:before {
content: "";
}
.ml-calendar:before {
content: "";
}
.ml-ringbell:before {
content: "";
}
.ml-movie:before {
content: "";
}
.ml-mail:before {
content: "✉";
}
.ml-pen:before {
content: "✏";
}
.ml-settings:before {
content: "颁";
}
.ml-measure:before {
content: "";
}
.ml-vector:before {
content: "";
}
.ml-vector-pen:before {
content: "✒";
}
.ml-mute-on:before {
content: "";
}
.ml-mute-off:before {
content: "";
}
.ml-home:before {
content: "⌂";
}
.ml-sheet:before {
content: "";
}
.ml-arrow-big-right:before {
content: "⇉";
}
.ml-arrow-big-left:before {
content: "⇇";
}
.ml-arrow-big-down:before {
content: "⇊";
}
.ml-arrow-big-up:before {
content: "⇈";
}
.ml-dribbble-circle:before {
content: "";
}
.ml-dribbble:before {
content: "";
}
.ml-facebook-circle:before {
content: "";
}
.ml-facebook:before {
content: "";
}
.ml-git-circle-alt:before {
content: "";
}
.ml-git-circle:before {
content: "";
}
.ml-git:before {
content: "";
}
.ml-octopus:before {
content: "";
}
.ml-twitter-circle:before {
content: "";
}
.ml-twitter:before {
content: "";
}
.ml-google-plus-circle:before {
content: "";
}
.ml-google-plus:before {
content: "";
}
.ml-linked-in-circle:before {
content: "";
}
.ml-linked-in:before {
content: "";
}
.ml-instagram:before {
content: "";
}
.ml-instagram-circle:before {
content: "";
}
.ml-mfg-icon:before {
content: "";
}
.ml-xing:before {
content: "";
}
.ml-xing-circle:before {
content: "";
}
.ml-mfg-icon-circle:before {
content: "";
}
.ml-user:before {
content: "";
}
.ml-user-male:before {
content: "";
}
.ml-user-female:before {
content: "";
}
.ml-users:before {
content: "";
}
.ml-file-open:before {
content: "";
}
.ml-file-close:before {
content: "";
}
.ml-file-alt:before {
content: "";
}
.ml-file-close-alt:before {
content: "";
}
.ml-attachment:before {
content: "";
}
.ml-check:before {
content: "✓";
}
.ml-cross-mark:before {
content: "❌";
}
.ml-cancel-circle:before {
content: "";
}
.ml-check-circle:before {
content: "";
}
.ml-magnifying:before {
content: "";
}
.ml-inbox:before {
content: "";
}
.ml-clock:before {
content: "⏲";
}
.ml-stopwatch:before {
content: "⏱";
}
.ml-hourglass:before {
content: "⌛";
}
.ml-trophy:before {
content: "";
}
.ml-unlock-alt:before {
content: "";
}
.ml-lock-alt:before {
content: "";
}
.ml-arrow-doubled-right:before {
content: "⇒";
}
.ml-arrow-doubled-left:before {
content: "⇐";
}
.ml-arrow-doubled-down:before {
content: "⇓";
}
.ml-arrow-doubled-up:before {
content: "⇑";
}
.ml-link:before {
content: "";
}
.ml-warning:before {
content: "❗";
}
.ml-warning-alt:before {
content: "❕";
}
.ml-magnifying-plus:before {
content: "";
}
.ml-magnifying-minus:before {
content: "";
}
.ml-white-question:before {
content: "❔";
}
.ml-black-question:before {
content: "❓";
}
.ml-stop:before {
content: "";
}
.ml-share:before {
content: "";
}
.ml-eye:before {
content: "";
}
.ml-trash-can:before {
content: "";
}
.ml-hard-drive:before {
content: "";
}
.ml-information-black:before {
content: "";
}
.ml-information-white:before {
content: "";
}
.ml-printer:before {
content: "";
}
.ml-letter:before {
content: "";
}
.ml-soundcloud:before {
content: "";
}
.ml-soundcloud-circle:before {
content: "";
}
.ml-anchor:before {
content: "⚓";
}
.ml-female-sign:before {
content: "♀";
}
.ml-male-sign:before {
content: "♂";
}
.ml-joystick:before {
content: "";
}
.ml-high-voltage:before {
content: "⚡";
}
.ml-fire:before {
content: "";
}
.ml-newspaper:before {
content: "";
}
.ml-chart:before {
content: "";
}
.ml-spread:before {
content: "";
}
.ml-spinner-1:before {
content: "";
}
.ml-spinner-2:before {
content: "";
}
.ml-chart-alt:before {
content: "";
}
.ml-label:before {
content: "";
}
.ml-brush:before {
content: "";
}
.ml-refresh:before {
content: "";
}
.ml-node:before {
content: "";
}
.ml-node-2:before {
content: "";
}
.ml-node-3:before {
content: "";
}
.ml-link-2-nodes:before {
content: "";
}
.ml-link-3-nodes:before {
content: "";
}
.ml-link-loop-nodes:before {
content: "";
}
.ml-node-size:before {
content: "";
}
.ml-node-color:before {
content: "";
}
.ml-layout-directed:before {
content: "";
}
.ml-layout-radial:before {
content: "";
}
.ml-layout-hierarchical:before {
content: "";
}
.ml-node-link-direction:before {
content: "";
}
.ml-node-link-short-path:before {
content: "";
}
.ml-node-cluster:before {
content: "";
}
.ml-display-graph:before {
content: "";
}
.ml-node-link-weight:before {
content: "";
}
.ml-more-node-links:before {
content: "";
}
.ml-node-shape:before {
content: "";
}
.ml-node-icon:before {
content: "";
}
.ml-node-text:before {
content: "";
}
.ml-node-link-text:before {
content: "";
}
.ml-node-link-color:before {
content: "";
}
.ml-node-link-shape:before {
content: "";
}
.ml-credit-card:before {
content: "";
}
.ml-disconnect:before {
content: "";
}
.ml-graph:before {
content: "";
}
.ml-new-user:before {
content: "";
}