ML0122EN-Review-CNN-MNIST-Dataset-PowerAI.html

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}
.glyphicon-triangle-bottom:before {
  content: "\e252";
}
.glyphicon-triangle-top:before {
  content: "\e253";
}
.glyphicon-console:before {
  content: "\e254";
}
.glyphicon-superscript:before {
  content: "\e255";
}
.glyphicon-subscript:before {
  content: "\e256";
}
.glyphicon-menu-left:before {
  content: "\e257";
}
.glyphicon-menu-right:before {
  content: "\e258";
}
.glyphicon-menu-down:before {
  content: "\e259";
}
.glyphicon-menu-up:before {
  content: "\e260";
}
* {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
*:before,
*:after {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
html {
  font-size: 10px;
  -webkit-tap-highlight-color: rgba(0, 0, 0, 0);
}
body {
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-size: 13px;
  line-height: 1.42857143;
  color: #000;
  background-color: #fff;
}
input,
button,
select,
textarea {
  font-family: inherit;
  font-size: inherit;
  line-height: inherit;
}
a {
  color: #337ab7;
  text-decoration: none;
}
a:hover,
a:focus {
  color: #23527c;
  text-decoration: underline;
}
a:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
figure {
  margin: 0;
}
img {
  vertical-align: middle;
}
.img-responsive,
.thumbnail > img,
.thumbnail a > img,
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  display: block;
  max-width: 100%;
  height: auto;
}
.img-rounded {
  border-radius: 3px;
}
.img-thumbnail {
  padding: 4px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: all 0.2s ease-in-out;
  -o-transition: all 0.2s ease-in-out;
  transition: all 0.2s ease-in-out;
  display: inline-block;
  max-width: 100%;
  height: auto;
}
.img-circle {
  border-radius: 50%;
}
hr {
  margin-top: 18px;
  margin-bottom: 18px;
  border: 0;
  border-top: 1px solid #eeeeee;
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  margin: -1px;
  padding: 0;
  overflow: hidden;
  clip: rect(0, 0, 0, 0);
  border: 0;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
[role="button"] {
  cursor: pointer;
}
h1,
h2,
h3,
h4,
h5,
h6,
.h1,
.h2,
.h3,
.h4,
.h5,
.h6 {
  font-family: inherit;
  font-weight: 500;
  line-height: 1.1;
  color: inherit;
}
h1 small,
h2 small,
h3 small,
h4 small,
h5 small,
h6 small,
.h1 small,
.h2 small,
.h3 small,
.h4 small,
.h5 small,
.h6 small,
h1 .small,
h2 .small,
h3 .small,
h4 .small,
h5 .small,
h6 .small,
.h1 .small,
.h2 .small,
.h3 .small,
.h4 .small,
.h5 .small,
.h6 .small {
  font-weight: normal;
  line-height: 1;
  color: #777777;
}
h1,
.h1,
h2,
.h2,
h3,
.h3 {
  margin-top: 18px;
  margin-bottom: 9px;
}
h1 small,
.h1 small,
h2 small,
.h2 small,
h3 small,
.h3 small,
h1 .small,
.h1 .small,
h2 .small,
.h2 .small,
h3 .small,
.h3 .small {
  font-size: 65%;
}
h4,
.h4,
h5,
.h5,
h6,
.h6 {
  margin-top: 9px;
  margin-bottom: 9px;
}
h4 small,
.h4 small,
h5 small,
.h5 small,
h6 small,
.h6 small,
h4 .small,
.h4 .small,
h5 .small,
.h5 .small,
h6 .small,
.h6 .small {
  font-size: 75%;
}
h1,
.h1 {
  font-size: 33px;
}
h2,
.h2 {
  font-size: 27px;
}
h3,
.h3 {
  font-size: 23px;
}
h4,
.h4 {
  font-size: 17px;
}
h5,
.h5 {
  font-size: 13px;
}
h6,
.h6 {
  font-size: 12px;
}
p {
  margin: 0 0 9px;
}
.lead {
  margin-bottom: 18px;
  font-size: 14px;
  font-weight: 300;
  line-height: 1.4;
}
@media (min-width: 768px) {
  .lead {
    font-size: 19.5px;
  }
}
small,
.small {
  font-size: 92%;
}
mark,
.mark {
  background-color: #fcf8e3;
  padding: .2em;
}
.text-left {
  text-align: left;
}
.text-right {
  text-align: right;
}
.text-center {
  text-align: center;
}
.text-justify {
  text-align: justify;
}
.text-nowrap {
  white-space: nowrap;
}
.text-lowercase {
  text-transform: lowercase;
}
.text-uppercase {
  text-transform: uppercase;
}
.text-capitalize {
  text-transform: capitalize;
}
.text-muted {
  color: #777777;
}
.text-primary {
  color: #337ab7;
}
a.text-primary:hover,
a.text-primary:focus {
  color: #286090;
}
.text-success {
  color: #3c763d;
}
a.text-success:hover,
a.text-success:focus {
  color: #2b542c;
}
.text-info {
  color: #31708f;
}
a.text-info:hover,
a.text-info:focus {
  color: #245269;
}
.text-warning {
  color: #8a6d3b;
}
a.text-warning:hover,
a.text-warning:focus {
  color: #66512c;
}
.text-danger {
  color: #a94442;
}
a.text-danger:hover,
a.text-danger:focus {
  color: #843534;
}
.bg-primary {
  color: #fff;
  background-color: #337ab7;
}
a.bg-primary:hover,
a.bg-primary:focus {
  background-color: #286090;
}
.bg-success {
  background-color: #dff0d8;
}
a.bg-success:hover,
a.bg-success:focus {
  background-color: #c1e2b3;
}
.bg-info {
  background-color: #d9edf7;
}
a.bg-info:hover,
a.bg-info:focus {
  background-color: #afd9ee;
}
.bg-warning {
  background-color: #fcf8e3;
}
a.bg-warning:hover,
a.bg-warning:focus {
  background-color: #f7ecb5;
}
.bg-danger {
  background-color: #f2dede;
}
a.bg-danger:hover,
a.bg-danger:focus {
  background-color: #e4b9b9;
}
.page-header {
  padding-bottom: 8px;
  margin: 36px 0 18px;
  border-bottom: 1px solid #eeeeee;
}
ul,
ol {
  margin-top: 0;
  margin-bottom: 9px;
}
ul ul,
ol ul,
ul ol,
ol ol {
  margin-bottom: 0;
}
.list-unstyled {
  padding-left: 0;
  list-style: none;
}
.list-inline {
  padding-left: 0;
  list-style: none;
  margin-left: -5px;
}
.list-inline > li {
  display: inline-block;
  padding-left: 5px;
  padding-right: 5px;
}
dl {
  margin-top: 0;
  margin-bottom: 18px;
}
dt,
dd {
  line-height: 1.42857143;
}
dt {
  font-weight: bold;
}
dd {
  margin-left: 0;
}
@media (min-width: 541px) {
  .dl-horizontal dt {
    float: left;
    width: 160px;
    clear: left;
    text-align: right;
    overflow: hidden;
    text-overflow: ellipsis;
    white-space: nowrap;
  }
  .dl-horizontal dd {
    margin-left: 180px;
  }
}
abbr[title],
abbr[data-original-title] {
  cursor: help;
  border-bottom: 1px dotted #777777;
}
.initialism {
  font-size: 90%;
  text-transform: uppercase;
}
blockquote {
  padding: 9px 18px;
  margin: 0 0 18px;
  font-size: inherit;
  border-left: 5px solid #eeeeee;
}
blockquote p:last-child,
blockquote ul:last-child,
blockquote ol:last-child {
  margin-bottom: 0;
}
blockquote footer,
blockquote small,
blockquote .small {
  display: block;
  font-size: 80%;
  line-height: 1.42857143;
  color: #777777;
}
blockquote footer:before,
blockquote small:before,
blockquote .small:before {
  content: '\2014 \00A0';
}
.blockquote-reverse,
blockquote.pull-right {
  padding-right: 15px;
  padding-left: 0;
  border-right: 5px solid #eeeeee;
  border-left: 0;
  text-align: right;
}
.blockquote-reverse footer:before,
blockquote.pull-right footer:before,
.blockquote-reverse small:before,
blockquote.pull-right small:before,
.blockquote-reverse .small:before,
blockquote.pull-right .small:before {
  content: '';
}
.blockquote-reverse footer:after,
blockquote.pull-right footer:after,
.blockquote-reverse small:after,
blockquote.pull-right small:after,
.blockquote-reverse .small:after,
blockquote.pull-right .small:after {
  content: '\00A0 \2014';
}
address {
  margin-bottom: 18px;
  font-style: normal;
  line-height: 1.42857143;
}
code,
kbd,
pre,
samp {
  font-family: monospace;
}
code {
  padding: 2px 4px;
  font-size: 90%;
  color: #c7254e;
  background-color: #f9f2f4;
  border-radius: 2px;
}
kbd {
  padding: 2px 4px;
  font-size: 90%;
  color: #888;
  background-color: transparent;
  border-radius: 1px;
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
}
kbd kbd {
  padding: 0;
  font-size: 100%;
  font-weight: bold;
  box-shadow: none;
}
pre {
  display: block;
  padding: 8.5px;
  margin: 0 0 9px;
  font-size: 12px;
  line-height: 1.42857143;
  word-break: break-all;
  word-wrap: break-word;
  color: #333333;
  background-color: #f5f5f5;
  border: 1px solid #ccc;
  border-radius: 2px;
}
pre code {
  padding: 0;
  font-size: inherit;
  color: inherit;
  white-space: pre-wrap;
  background-color: transparent;
  border-radius: 0;
}
.pre-scrollable {
  max-height: 340px;
  overflow-y: scroll;
}
.container {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
@media (min-width: 768px) {
  .container {
    width: 768px;
  }
}
@media (min-width: 992px) {
  .container {
    width: 940px;
  }
}
@media (min-width: 1200px) {
  .container {
    width: 1140px;
  }
}
.container-fluid {
  margin-right: auto;
  margin-left: auto;
  padding-left: 0px;
  padding-right: 0px;
}
.row {
  margin-left: 0px;
  margin-right: 0px;
}
.col-xs-1, .col-sm-1, .col-md-1, .col-lg-1, .col-xs-2, .col-sm-2, .col-md-2, .col-lg-2, .col-xs-3, .col-sm-3, .col-md-3, .col-lg-3, .col-xs-4, .col-sm-4, .col-md-4, .col-lg-4, .col-xs-5, .col-sm-5, .col-md-5, .col-lg-5, .col-xs-6, .col-sm-6, .col-md-6, .col-lg-6, .col-xs-7, .col-sm-7, .col-md-7, .col-lg-7, .col-xs-8, .col-sm-8, .col-md-8, .col-lg-8, .col-xs-9, .col-sm-9, .col-md-9, .col-lg-9, .col-xs-10, .col-sm-10, .col-md-10, .col-lg-10, .col-xs-11, .col-sm-11, .col-md-11, .col-lg-11, .col-xs-12, .col-sm-12, .col-md-12, .col-lg-12 {
  position: relative;
  min-height: 1px;
  padding-left: 0px;
  padding-right: 0px;
}
.col-xs-1, .col-xs-2, .col-xs-3, .col-xs-4, .col-xs-5, .col-xs-6, .col-xs-7, .col-xs-8, .col-xs-9, .col-xs-10, .col-xs-11, .col-xs-12 {
  float: left;
}
.col-xs-12 {
  width: 100%;
}
.col-xs-11 {
  width: 91.66666667%;
}
.col-xs-10 {
  width: 83.33333333%;
}
.col-xs-9 {
  width: 75%;
}
.col-xs-8 {
  width: 66.66666667%;
}
.col-xs-7 {
  width: 58.33333333%;
}
.col-xs-6 {
  width: 50%;
}
.col-xs-5 {
  width: 41.66666667%;
}
.col-xs-4 {
  width: 33.33333333%;
}
.col-xs-3 {
  width: 25%;
}
.col-xs-2 {
  width: 16.66666667%;
}
.col-xs-1 {
  width: 8.33333333%;
}
.col-xs-pull-12 {
  right: 100%;
}
.col-xs-pull-11 {
  right: 91.66666667%;
}
.col-xs-pull-10 {
  right: 83.33333333%;
}
.col-xs-pull-9 {
  right: 75%;
}
.col-xs-pull-8 {
  right: 66.66666667%;
}
.col-xs-pull-7 {
  right: 58.33333333%;
}
.col-xs-pull-6 {
  right: 50%;
}
.col-xs-pull-5 {
  right: 41.66666667%;
}
.col-xs-pull-4 {
  right: 33.33333333%;
}
.col-xs-pull-3 {
  right: 25%;
}
.col-xs-pull-2 {
  right: 16.66666667%;
}
.col-xs-pull-1 {
  right: 8.33333333%;
}
.col-xs-pull-0 {
  right: auto;
}
.col-xs-push-12 {
  left: 100%;
}
.col-xs-push-11 {
  left: 91.66666667%;
}
.col-xs-push-10 {
  left: 83.33333333%;
}
.col-xs-push-9 {
  left: 75%;
}
.col-xs-push-8 {
  left: 66.66666667%;
}
.col-xs-push-7 {
  left: 58.33333333%;
}
.col-xs-push-6 {
  left: 50%;
}
.col-xs-push-5 {
  left: 41.66666667%;
}
.col-xs-push-4 {
  left: 33.33333333%;
}
.col-xs-push-3 {
  left: 25%;
}
.col-xs-push-2 {
  left: 16.66666667%;
}
.col-xs-push-1 {
  left: 8.33333333%;
}
.col-xs-push-0 {
  left: auto;
}
.col-xs-offset-12 {
  margin-left: 100%;
}
.col-xs-offset-11 {
  margin-left: 91.66666667%;
}
.col-xs-offset-10 {
  margin-left: 83.33333333%;
}
.col-xs-offset-9 {
  margin-left: 75%;
}
.col-xs-offset-8 {
  margin-left: 66.66666667%;
}
.col-xs-offset-7 {
  margin-left: 58.33333333%;
}
.col-xs-offset-6 {
  margin-left: 50%;
}
.col-xs-offset-5 {
  margin-left: 41.66666667%;
}
.col-xs-offset-4 {
  margin-left: 33.33333333%;
}
.col-xs-offset-3 {
  margin-left: 25%;
}
.col-xs-offset-2 {
  margin-left: 16.66666667%;
}
.col-xs-offset-1 {
  margin-left: 8.33333333%;
}
.col-xs-offset-0 {
  margin-left: 0%;
}
@media (min-width: 768px) {
  .col-sm-1, .col-sm-2, .col-sm-3, .col-sm-4, .col-sm-5, .col-sm-6, .col-sm-7, .col-sm-8, .col-sm-9, .col-sm-10, .col-sm-11, .col-sm-12 {
    float: left;
  }
  .col-sm-12 {
    width: 100%;
  }
  .col-sm-11 {
    width: 91.66666667%;
  }
  .col-sm-10 {
    width: 83.33333333%;
  }
  .col-sm-9 {
    width: 75%;
  }
  .col-sm-8 {
    width: 66.66666667%;
  }
  .col-sm-7 {
    width: 58.33333333%;
  }
  .col-sm-6 {
    width: 50%;
  }
  .col-sm-5 {
    width: 41.66666667%;
  }
  .col-sm-4 {
    width: 33.33333333%;
  }
  .col-sm-3 {
    width: 25%;
  }
  .col-sm-2 {
    width: 16.66666667%;
  }
  .col-sm-1 {
    width: 8.33333333%;
  }
  .col-sm-pull-12 {
    right: 100%;
  }
  .col-sm-pull-11 {
    right: 91.66666667%;
  }
  .col-sm-pull-10 {
    right: 83.33333333%;
  }
  .col-sm-pull-9 {
    right: 75%;
  }
  .col-sm-pull-8 {
    right: 66.66666667%;
  }
  .col-sm-pull-7 {
    right: 58.33333333%;
  }
  .col-sm-pull-6 {
    right: 50%;
  }
  .col-sm-pull-5 {
    right: 41.66666667%;
  }
  .col-sm-pull-4 {
    right: 33.33333333%;
  }
  .col-sm-pull-3 {
    right: 25%;
  }
  .col-sm-pull-2 {
    right: 16.66666667%;
  }
  .col-sm-pull-1 {
    right: 8.33333333%;
  }
  .col-sm-pull-0 {
    right: auto;
  }
  .col-sm-push-12 {
    left: 100%;
  }
  .col-sm-push-11 {
    left: 91.66666667%;
  }
  .col-sm-push-10 {
    left: 83.33333333%;
  }
  .col-sm-push-9 {
    left: 75%;
  }
  .col-sm-push-8 {
    left: 66.66666667%;
  }
  .col-sm-push-7 {
    left: 58.33333333%;
  }
  .col-sm-push-6 {
    left: 50%;
  }
  .col-sm-push-5 {
    left: 41.66666667%;
  }
  .col-sm-push-4 {
    left: 33.33333333%;
  }
  .col-sm-push-3 {
    left: 25%;
  }
  .col-sm-push-2 {
    left: 16.66666667%;
  }
  .col-sm-push-1 {
    left: 8.33333333%;
  }
  .col-sm-push-0 {
    left: auto;
  }
  .col-sm-offset-12 {
    margin-left: 100%;
  }
  .col-sm-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-sm-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-sm-offset-9 {
    margin-left: 75%;
  }
  .col-sm-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-sm-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-sm-offset-6 {
    margin-left: 50%;
  }
  .col-sm-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-sm-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-sm-offset-3 {
    margin-left: 25%;
  }
  .col-sm-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-sm-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-sm-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 992px) {
  .col-md-1, .col-md-2, .col-md-3, .col-md-4, .col-md-5, .col-md-6, .col-md-7, .col-md-8, .col-md-9, .col-md-10, .col-md-11, .col-md-12 {
    float: left;
  }
  .col-md-12 {
    width: 100%;
  }
  .col-md-11 {
    width: 91.66666667%;
  }
  .col-md-10 {
    width: 83.33333333%;
  }
  .col-md-9 {
    width: 75%;
  }
  .col-md-8 {
    width: 66.66666667%;
  }
  .col-md-7 {
    width: 58.33333333%;
  }
  .col-md-6 {
    width: 50%;
  }
  .col-md-5 {
    width: 41.66666667%;
  }
  .col-md-4 {
    width: 33.33333333%;
  }
  .col-md-3 {
    width: 25%;
  }
  .col-md-2 {
    width: 16.66666667%;
  }
  .col-md-1 {
    width: 8.33333333%;
  }
  .col-md-pull-12 {
    right: 100%;
  }
  .col-md-pull-11 {
    right: 91.66666667%;
  }
  .col-md-pull-10 {
    right: 83.33333333%;
  }
  .col-md-pull-9 {
    right: 75%;
  }
  .col-md-pull-8 {
    right: 66.66666667%;
  }
  .col-md-pull-7 {
    right: 58.33333333%;
  }
  .col-md-pull-6 {
    right: 50%;
  }
  .col-md-pull-5 {
    right: 41.66666667%;
  }
  .col-md-pull-4 {
    right: 33.33333333%;
  }
  .col-md-pull-3 {
    right: 25%;
  }
  .col-md-pull-2 {
    right: 16.66666667%;
  }
  .col-md-pull-1 {
    right: 8.33333333%;
  }
  .col-md-pull-0 {
    right: auto;
  }
  .col-md-push-12 {
    left: 100%;
  }
  .col-md-push-11 {
    left: 91.66666667%;
  }
  .col-md-push-10 {
    left: 83.33333333%;
  }
  .col-md-push-9 {
    left: 75%;
  }
  .col-md-push-8 {
    left: 66.66666667%;
  }
  .col-md-push-7 {
    left: 58.33333333%;
  }
  .col-md-push-6 {
    left: 50%;
  }
  .col-md-push-5 {
    left: 41.66666667%;
  }
  .col-md-push-4 {
    left: 33.33333333%;
  }
  .col-md-push-3 {
    left: 25%;
  }
  .col-md-push-2 {
    left: 16.66666667%;
  }
  .col-md-push-1 {
    left: 8.33333333%;
  }
  .col-md-push-0 {
    left: auto;
  }
  .col-md-offset-12 {
    margin-left: 100%;
  }
  .col-md-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-md-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-md-offset-9 {
    margin-left: 75%;
  }
  .col-md-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-md-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-md-offset-6 {
    margin-left: 50%;
  }
  .col-md-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-md-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-md-offset-3 {
    margin-left: 25%;
  }
  .col-md-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-md-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-md-offset-0 {
    margin-left: 0%;
  }
}
@media (min-width: 1200px) {
  .col-lg-1, .col-lg-2, .col-lg-3, .col-lg-4, .col-lg-5, .col-lg-6, .col-lg-7, .col-lg-8, .col-lg-9, .col-lg-10, .col-lg-11, .col-lg-12 {
    float: left;
  }
  .col-lg-12 {
    width: 100%;
  }
  .col-lg-11 {
    width: 91.66666667%;
  }
  .col-lg-10 {
    width: 83.33333333%;
  }
  .col-lg-9 {
    width: 75%;
  }
  .col-lg-8 {
    width: 66.66666667%;
  }
  .col-lg-7 {
    width: 58.33333333%;
  }
  .col-lg-6 {
    width: 50%;
  }
  .col-lg-5 {
    width: 41.66666667%;
  }
  .col-lg-4 {
    width: 33.33333333%;
  }
  .col-lg-3 {
    width: 25%;
  }
  .col-lg-2 {
    width: 16.66666667%;
  }
  .col-lg-1 {
    width: 8.33333333%;
  }
  .col-lg-pull-12 {
    right: 100%;
  }
  .col-lg-pull-11 {
    right: 91.66666667%;
  }
  .col-lg-pull-10 {
    right: 83.33333333%;
  }
  .col-lg-pull-9 {
    right: 75%;
  }
  .col-lg-pull-8 {
    right: 66.66666667%;
  }
  .col-lg-pull-7 {
    right: 58.33333333%;
  }
  .col-lg-pull-6 {
    right: 50%;
  }
  .col-lg-pull-5 {
    right: 41.66666667%;
  }
  .col-lg-pull-4 {
    right: 33.33333333%;
  }
  .col-lg-pull-3 {
    right: 25%;
  }
  .col-lg-pull-2 {
    right: 16.66666667%;
  }
  .col-lg-pull-1 {
    right: 8.33333333%;
  }
  .col-lg-pull-0 {
    right: auto;
  }
  .col-lg-push-12 {
    left: 100%;
  }
  .col-lg-push-11 {
    left: 91.66666667%;
  }
  .col-lg-push-10 {
    left: 83.33333333%;
  }
  .col-lg-push-9 {
    left: 75%;
  }
  .col-lg-push-8 {
    left: 66.66666667%;
  }
  .col-lg-push-7 {
    left: 58.33333333%;
  }
  .col-lg-push-6 {
    left: 50%;
  }
  .col-lg-push-5 {
    left: 41.66666667%;
  }
  .col-lg-push-4 {
    left: 33.33333333%;
  }
  .col-lg-push-3 {
    left: 25%;
  }
  .col-lg-push-2 {
    left: 16.66666667%;
  }
  .col-lg-push-1 {
    left: 8.33333333%;
  }
  .col-lg-push-0 {
    left: auto;
  }
  .col-lg-offset-12 {
    margin-left: 100%;
  }
  .col-lg-offset-11 {
    margin-left: 91.66666667%;
  }
  .col-lg-offset-10 {
    margin-left: 83.33333333%;
  }
  .col-lg-offset-9 {
    margin-left: 75%;
  }
  .col-lg-offset-8 {
    margin-left: 66.66666667%;
  }
  .col-lg-offset-7 {
    margin-left: 58.33333333%;
  }
  .col-lg-offset-6 {
    margin-left: 50%;
  }
  .col-lg-offset-5 {
    margin-left: 41.66666667%;
  }
  .col-lg-offset-4 {
    margin-left: 33.33333333%;
  }
  .col-lg-offset-3 {
    margin-left: 25%;
  }
  .col-lg-offset-2 {
    margin-left: 16.66666667%;
  }
  .col-lg-offset-1 {
    margin-left: 8.33333333%;
  }
  .col-lg-offset-0 {
    margin-left: 0%;
  }
}
table {
  background-color: transparent;
}
caption {
  padding-top: 8px;
  padding-bottom: 8px;
  color: #777777;
  text-align: left;
}
th {
  text-align: left;
}
.table {
  width: 100%;
  max-width: 100%;
  margin-bottom: 18px;
}
.table > thead > tr > th,
.table > tbody > tr > th,
.table > tfoot > tr > th,
.table > thead > tr > td,
.table > tbody > tr > td,
.table > tfoot > tr > td {
  padding: 8px;
  line-height: 1.42857143;
  vertical-align: top;
  border-top: 1px solid #ddd;
}
.table > thead > tr > th {
  vertical-align: bottom;
  border-bottom: 2px solid #ddd;
}
.table > caption + thead > tr:first-child > th,
.table > colgroup + thead > tr:first-child > th,
.table > thead:first-child > tr:first-child > th,
.table > caption + thead > tr:first-child > td,
.table > colgroup + thead > tr:first-child > td,
.table > thead:first-child > tr:first-child > td {
  border-top: 0;
}
.table > tbody + tbody {
  border-top: 2px solid #ddd;
}
.table .table {
  background-color: #fff;
}
.table-condensed > thead > tr > th,
.table-condensed > tbody > tr > th,
.table-condensed > tfoot > tr > th,
.table-condensed > thead > tr > td,
.table-condensed > tbody > tr > td,
.table-condensed > tfoot > tr > td {
  padding: 5px;
}
.table-bordered {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > tbody > tr > th,
.table-bordered > tfoot > tr > th,
.table-bordered > thead > tr > td,
.table-bordered > tbody > tr > td,
.table-bordered > tfoot > tr > td {
  border: 1px solid #ddd;
}
.table-bordered > thead > tr > th,
.table-bordered > thead > tr > td {
  border-bottom-width: 2px;
}
.table-striped > tbody > tr:nth-of-type(odd) {
  background-color: #f9f9f9;
}
.table-hover > tbody > tr:hover {
  background-color: #f5f5f5;
}
table col[class*="col-"] {
  position: static;
  float: none;
  display: table-column;
}
table td[class*="col-"],
table th[class*="col-"] {
  position: static;
  float: none;
  display: table-cell;
}
.table > thead > tr > td.active,
.table > tbody > tr > td.active,
.table > tfoot > tr > td.active,
.table > thead > tr > th.active,
.table > tbody > tr > th.active,
.table > tfoot > tr > th.active,
.table > thead > tr.active > td,
.table > tbody > tr.active > td,
.table > tfoot > tr.active > td,
.table > thead > tr.active > th,
.table > tbody > tr.active > th,
.table > tfoot > tr.active > th {
  background-color: #f5f5f5;
}
.table-hover > tbody > tr > td.active:hover,
.table-hover > tbody > tr > th.active:hover,
.table-hover > tbody > tr.active:hover > td,
.table-hover > tbody > tr:hover > .active,
.table-hover > tbody > tr.active:hover > th {
  background-color: #e8e8e8;
}
.table > thead > tr > td.success,
.table > tbody > tr > td.success,
.table > tfoot > tr > td.success,
.table > thead > tr > th.success,
.table > tbody > tr > th.success,
.table > tfoot > tr > th.success,
.table > thead > tr.success > td,
.table > tbody > tr.success > td,
.table > tfoot > tr.success > td,
.table > thead > tr.success > th,
.table > tbody > tr.success > th,
.table > tfoot > tr.success > th {
  background-color: #dff0d8;
}
.table-hover > tbody > tr > td.success:hover,
.table-hover > tbody > tr > th.success:hover,
.table-hover > tbody > tr.success:hover > td,
.table-hover > tbody > tr:hover > .success,
.table-hover > tbody > tr.success:hover > th {
  background-color: #d0e9c6;
}
.table > thead > tr > td.info,
.table > tbody > tr > td.info,
.table > tfoot > tr > td.info,
.table > thead > tr > th.info,
.table > tbody > tr > th.info,
.table > tfoot > tr > th.info,
.table > thead > tr.info > td,
.table > tbody > tr.info > td,
.table > tfoot > tr.info > td,
.table > thead > tr.info > th,
.table > tbody > tr.info > th,
.table > tfoot > tr.info > th {
  background-color: #d9edf7;
}
.table-hover > tbody > tr > td.info:hover,
.table-hover > tbody > tr > th.info:hover,
.table-hover > tbody > tr.info:hover > td,
.table-hover > tbody > tr:hover > .info,
.table-hover > tbody > tr.info:hover > th {
  background-color: #c4e3f3;
}
.table > thead > tr > td.warning,
.table > tbody > tr > td.warning,
.table > tfoot > tr > td.warning,
.table > thead > tr > th.warning,
.table > tbody > tr > th.warning,
.table > tfoot > tr > th.warning,
.table > thead > tr.warning > td,
.table > tbody > tr.warning > td,
.table > tfoot > tr.warning > td,
.table > thead > tr.warning > th,
.table > tbody > tr.warning > th,
.table > tfoot > tr.warning > th {
  background-color: #fcf8e3;
}
.table-hover > tbody > tr > td.warning:hover,
.table-hover > tbody > tr > th.warning:hover,
.table-hover > tbody > tr.warning:hover > td,
.table-hover > tbody > tr:hover > .warning,
.table-hover > tbody > tr.warning:hover > th {
  background-color: #faf2cc;
}
.table > thead > tr > td.danger,
.table > tbody > tr > td.danger,
.table > tfoot > tr > td.danger,
.table > thead > tr > th.danger,
.table > tbody > tr > th.danger,
.table > tfoot > tr > th.danger,
.table > thead > tr.danger > td,
.table > tbody > tr.danger > td,
.table > tfoot > tr.danger > td,
.table > thead > tr.danger > th,
.table > tbody > tr.danger > th,
.table > tfoot > tr.danger > th {
  background-color: #f2dede;
}
.table-hover > tbody > tr > td.danger:hover,
.table-hover > tbody > tr > th.danger:hover,
.table-hover > tbody > tr.danger:hover > td,
.table-hover > tbody > tr:hover > .danger,
.table-hover > tbody > tr.danger:hover > th {
  background-color: #ebcccc;
}
.table-responsive {
  overflow-x: auto;
  min-height: 0.01%;
}
@media screen and (max-width: 767px) {
  .table-responsive {
    width: 100%;
    margin-bottom: 13.5px;
    overflow-y: hidden;
    -ms-overflow-style: -ms-autohiding-scrollbar;
    border: 1px solid #ddd;
  }
  .table-responsive > .table {
    margin-bottom: 0;
  }
  .table-responsive > .table > thead > tr > th,
  .table-responsive > .table > tbody > tr > th,
  .table-responsive > .table > tfoot > tr > th,
  .table-responsive > .table > thead > tr > td,
  .table-responsive > .table > tbody > tr > td,
  .table-responsive > .table > tfoot > tr > td {
    white-space: nowrap;
  }
  .table-responsive > .table-bordered {
    border: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:first-child,
  .table-responsive > .table-bordered > tbody > tr > th:first-child,
  .table-responsive > .table-bordered > tfoot > tr > th:first-child,
  .table-responsive > .table-bordered > thead > tr > td:first-child,
  .table-responsive > .table-bordered > tbody > tr > td:first-child,
  .table-responsive > .table-bordered > tfoot > tr > td:first-child {
    border-left: 0;
  }
  .table-responsive > .table-bordered > thead > tr > th:last-child,
  .table-responsive > .table-bordered > tbody > tr > th:last-child,
  .table-responsive > .table-bordered > tfoot > tr > th:last-child,
  .table-responsive > .table-bordered > thead > tr > td:last-child,
  .table-responsive > .table-bordered > tbody > tr > td:last-child,
  .table-responsive > .table-bordered > tfoot > tr > td:last-child {
    border-right: 0;
  }
  .table-responsive > .table-bordered > tbody > tr:last-child > th,
  .table-responsive > .table-bordered > tfoot > tr:last-child > th,
  .table-responsive > .table-bordered > tbody > tr:last-child > td,
  .table-responsive > .table-bordered > tfoot > tr:last-child > td {
    border-bottom: 0;
  }
}
fieldset {
  padding: 0;
  margin: 0;
  border: 0;
  min-width: 0;
}
legend {
  display: block;
  width: 100%;
  padding: 0;
  margin-bottom: 18px;
  font-size: 19.5px;
  line-height: inherit;
  color: #333333;
  border: 0;
  border-bottom: 1px solid #e5e5e5;
}
label {
  display: inline-block;
  max-width: 100%;
  margin-bottom: 5px;
  font-weight: bold;
}
input[type="search"] {
  -webkit-box-sizing: border-box;
  -moz-box-sizing: border-box;
  box-sizing: border-box;
}
input[type="radio"],
input[type="checkbox"] {
  margin: 4px 0 0;
  margin-top: 1px \9;
  line-height: normal;
}
input[type="file"] {
  display: block;
}
input[type="range"] {
  display: block;
  width: 100%;
}
select[multiple],
select[size] {
  height: auto;
}
input[type="file"]:focus,
input[type="radio"]:focus,
input[type="checkbox"]:focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
output {
  display: block;
  padding-top: 7px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
}
.form-control {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
}
.form-control:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.form-control::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.form-control:-ms-input-placeholder {
  color: #999;
}
.form-control::-webkit-input-placeholder {
  color: #999;
}
.form-control::-ms-expand {
  border: 0;
  background-color: transparent;
}
.form-control[disabled],
.form-control[readonly],
fieldset[disabled] .form-control {
  background-color: #eeeeee;
  opacity: 1;
}
.form-control[disabled],
fieldset[disabled] .form-control {
  cursor: not-allowed;
}
textarea.form-control {
  height: auto;
}
input[type="search"] {
  -webkit-appearance: none;
}
@media screen and (-webkit-min-device-pixel-ratio: 0) {
  input[type="date"].form-control,
  input[type="time"].form-control,
  input[type="datetime-local"].form-control,
  input[type="month"].form-control {
    line-height: 32px;
  }
  input[type="date"].input-sm,
  input[type="time"].input-sm,
  input[type="datetime-local"].input-sm,
  input[type="month"].input-sm,
  .input-group-sm input[type="date"],
  .input-group-sm input[type="time"],
  .input-group-sm input[type="datetime-local"],
  .input-group-sm input[type="month"] {
    line-height: 30px;
  }
  input[type="date"].input-lg,
  input[type="time"].input-lg,
  input[type="datetime-local"].input-lg,
  input[type="month"].input-lg,
  .input-group-lg input[type="date"],
  .input-group-lg input[type="time"],
  .input-group-lg input[type="datetime-local"],
  .input-group-lg input[type="month"] {
    line-height: 45px;
  }
}
.form-group {
  margin-bottom: 15px;
}
.radio,
.checkbox {
  position: relative;
  display: block;
  margin-top: 10px;
  margin-bottom: 10px;
}
.radio label,
.checkbox label {
  min-height: 18px;
  padding-left: 20px;
  margin-bottom: 0;
  font-weight: normal;
  cursor: pointer;
}
.radio input[type="radio"],
.radio-inline input[type="radio"],
.checkbox input[type="checkbox"],
.checkbox-inline input[type="checkbox"] {
  position: absolute;
  margin-left: -20px;
  margin-top: 4px \9;
}
.radio + .radio,
.checkbox + .checkbox {
  margin-top: -5px;
}
.radio-inline,
.checkbox-inline {
  position: relative;
  display: inline-block;
  padding-left: 20px;
  margin-bottom: 0;
  vertical-align: middle;
  font-weight: normal;
  cursor: pointer;
}
.radio-inline + .radio-inline,
.checkbox-inline + .checkbox-inline {
  margin-top: 0;
  margin-left: 10px;
}
input[type="radio"][disabled],
input[type="checkbox"][disabled],
input[type="radio"].disabled,
input[type="checkbox"].disabled,
fieldset[disabled] input[type="radio"],
fieldset[disabled] input[type="checkbox"] {
  cursor: not-allowed;
}
.radio-inline.disabled,
.checkbox-inline.disabled,
fieldset[disabled] .radio-inline,
fieldset[disabled] .checkbox-inline {
  cursor: not-allowed;
}
.radio.disabled label,
.checkbox.disabled label,
fieldset[disabled] .radio label,
fieldset[disabled] .checkbox label {
  cursor: not-allowed;
}
.form-control-static {
  padding-top: 7px;
  padding-bottom: 7px;
  margin-bottom: 0;
  min-height: 31px;
}
.form-control-static.input-lg,
.form-control-static.input-sm {
  padding-left: 0;
  padding-right: 0;
}
.input-sm {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-sm {
  height: 30px;
  line-height: 30px;
}
textarea.input-sm,
select[multiple].input-sm {
  height: auto;
}
.form-group-sm .form-control {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.form-group-sm select.form-control {
  height: 30px;
  line-height: 30px;
}
.form-group-sm textarea.form-control,
.form-group-sm select[multiple].form-control {
  height: auto;
}
.form-group-sm .form-control-static {
  height: 30px;
  min-height: 30px;
  padding: 6px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.input-lg {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-lg {
  height: 45px;
  line-height: 45px;
}
textarea.input-lg,
select[multiple].input-lg {
  height: auto;
}
.form-group-lg .form-control {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.form-group-lg select.form-control {
  height: 45px;
  line-height: 45px;
}
.form-group-lg textarea.form-control,
.form-group-lg select[multiple].form-control {
  height: auto;
}
.form-group-lg .form-control-static {
  height: 45px;
  min-height: 35px;
  padding: 11px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.has-feedback {
  position: relative;
}
.has-feedback .form-control {
  padding-right: 40px;
}
.form-control-feedback {
  position: absolute;
  top: 0;
  right: 0;
  z-index: 2;
  display: block;
  width: 32px;
  height: 32px;
  line-height: 32px;
  text-align: center;
  pointer-events: none;
}
.input-lg + .form-control-feedback,
.input-group-lg + .form-control-feedback,
.form-group-lg .form-control + .form-control-feedback {
  width: 45px;
  height: 45px;
  line-height: 45px;
}
.input-sm + .form-control-feedback,
.input-group-sm + .form-control-feedback,
.form-group-sm .form-control + .form-control-feedback {
  width: 30px;
  height: 30px;
  line-height: 30px;
}
.has-success .help-block,
.has-success .control-label,
.has-success .radio,
.has-success .checkbox,
.has-success .radio-inline,
.has-success .checkbox-inline,
.has-success.radio label,
.has-success.checkbox label,
.has-success.radio-inline label,
.has-success.checkbox-inline label {
  color: #3c763d;
}
.has-success .form-control {
  border-color: #3c763d;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-success .form-control:focus {
  border-color: #2b542c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #67b168;
}
.has-success .input-group-addon {
  color: #3c763d;
  border-color: #3c763d;
  background-color: #dff0d8;
}
.has-success .form-control-feedback {
  color: #3c763d;
}
.has-warning .help-block,
.has-warning .control-label,
.has-warning .radio,
.has-warning .checkbox,
.has-warning .radio-inline,
.has-warning .checkbox-inline,
.has-warning.radio label,
.has-warning.checkbox label,
.has-warning.radio-inline label,
.has-warning.checkbox-inline label {
  color: #8a6d3b;
}
.has-warning .form-control {
  border-color: #8a6d3b;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-warning .form-control:focus {
  border-color: #66512c;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #c0a16b;
}
.has-warning .input-group-addon {
  color: #8a6d3b;
  border-color: #8a6d3b;
  background-color: #fcf8e3;
}
.has-warning .form-control-feedback {
  color: #8a6d3b;
}
.has-error .help-block,
.has-error .control-label,
.has-error .radio,
.has-error .checkbox,
.has-error .radio-inline,
.has-error .checkbox-inline,
.has-error.radio label,
.has-error.checkbox label,
.has-error.radio-inline label,
.has-error.checkbox-inline label {
  color: #a94442;
}
.has-error .form-control {
  border-color: #a94442;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
}
.has-error .form-control:focus {
  border-color: #843534;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075), 0 0 6px #ce8483;
}
.has-error .input-group-addon {
  color: #a94442;
  border-color: #a94442;
  background-color: #f2dede;
}
.has-error .form-control-feedback {
  color: #a94442;
}
.has-feedback label ~ .form-control-feedback {
  top: 23px;
}
.has-feedback label.sr-only ~ .form-control-feedback {
  top: 0;
}
.help-block {
  display: block;
  margin-top: 5px;
  margin-bottom: 10px;
  color: #404040;
}
@media (min-width: 768px) {
  .form-inline .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .form-inline .form-control-static {
    display: inline-block;
  }
  .form-inline .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .form-inline .input-group .input-group-addon,
  .form-inline .input-group .input-group-btn,
  .form-inline .input-group .form-control {
    width: auto;
  }
  .form-inline .input-group > .form-control {
    width: 100%;
  }
  .form-inline .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio,
  .form-inline .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .form-inline .radio label,
  .form-inline .checkbox label {
    padding-left: 0;
  }
  .form-inline .radio input[type="radio"],
  .form-inline .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .form-inline .has-feedback .form-control-feedback {
    top: 0;
  }
}
.form-horizontal .radio,
.form-horizontal .checkbox,
.form-horizontal .radio-inline,
.form-horizontal .checkbox-inline {
  margin-top: 0;
  margin-bottom: 0;
  padding-top: 7px;
}
.form-horizontal .radio,
.form-horizontal .checkbox {
  min-height: 25px;
}
.form-horizontal .form-group {
  margin-left: 0px;
  margin-right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .control-label {
    text-align: right;
    margin-bottom: 0;
    padding-top: 7px;
  }
}
.form-horizontal .has-feedback .form-control-feedback {
  right: 0px;
}
@media (min-width: 768px) {
  .form-horizontal .form-group-lg .control-label {
    padding-top: 11px;
    font-size: 17px;
  }
}
@media (min-width: 768px) {
  .form-horizontal .form-group-sm .control-label {
    padding-top: 6px;
    font-size: 12px;
  }
}
.btn {
  display: inline-block;
  margin-bottom: 0;
  font-weight: normal;
  text-align: center;
  vertical-align: middle;
  touch-action: manipulation;
  cursor: pointer;
  background-image: none;
  border: 1px solid transparent;
  white-space: nowrap;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  border-radius: 2px;
  -webkit-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
}
.btn:focus,
.btn:active:focus,
.btn.active:focus,
.btn.focus,
.btn:active.focus,
.btn.active.focus {
  outline: 5px auto -webkit-focus-ring-color;
  outline-offset: -2px;
}
.btn:hover,
.btn:focus,
.btn.focus {
  color: #333;
  text-decoration: none;
}
.btn:active,
.btn.active {
  outline: 0;
  background-image: none;
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn.disabled,
.btn[disabled],
fieldset[disabled] .btn {
  cursor: not-allowed;
  opacity: 0.65;
  filter: alpha(opacity=65);
  -webkit-box-shadow: none;
  box-shadow: none;
}
a.btn.disabled,
fieldset[disabled] a.btn {
  pointer-events: none;
}
.btn-default {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.btn-default:focus,
.btn-default.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.btn-default:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.btn-default:active:hover,
.btn-default.active:hover,
.open > .dropdown-toggle.btn-default:hover,
.btn-default:active:focus,
.btn-default.active:focus,
.open > .dropdown-toggle.btn-default:focus,
.btn-default:active.focus,
.btn-default.active.focus,
.open > .dropdown-toggle.btn-default.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.btn-default:active,
.btn-default.active,
.open > .dropdown-toggle.btn-default {
  background-image: none;
}
.btn-default.disabled:hover,
.btn-default[disabled]:hover,
fieldset[disabled] .btn-default:hover,
.btn-default.disabled:focus,
.btn-default[disabled]:focus,
fieldset[disabled] .btn-default:focus,
.btn-default.disabled.focus,
.btn-default[disabled].focus,
fieldset[disabled] .btn-default.focus {
  background-color: #fff;
  border-color: #ccc;
}
.btn-default .badge {
  color: #fff;
  background-color: #333;
}
.btn-primary {
  color: #fff;
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary:focus,
.btn-primary.focus {
  color: #fff;
  background-color: #286090;
  border-color: #122b40;
}
.btn-primary:hover {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  color: #fff;
  background-color: #286090;
  border-color: #204d74;
}
.btn-primary:active:hover,
.btn-primary.active:hover,
.open > .dropdown-toggle.btn-primary:hover,
.btn-primary:active:focus,
.btn-primary.active:focus,
.open > .dropdown-toggle.btn-primary:focus,
.btn-primary:active.focus,
.btn-primary.active.focus,
.open > .dropdown-toggle.btn-primary.focus {
  color: #fff;
  background-color: #204d74;
  border-color: #122b40;
}
.btn-primary:active,
.btn-primary.active,
.open > .dropdown-toggle.btn-primary {
  background-image: none;
}
.btn-primary.disabled:hover,
.btn-primary[disabled]:hover,
fieldset[disabled] .btn-primary:hover,
.btn-primary.disabled:focus,
.btn-primary[disabled]:focus,
fieldset[disabled] .btn-primary:focus,
.btn-primary.disabled.focus,
.btn-primary[disabled].focus,
fieldset[disabled] .btn-primary.focus {
  background-color: #337ab7;
  border-color: #2e6da4;
}
.btn-primary .badge {
  color: #337ab7;
  background-color: #fff;
}
.btn-success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success:focus,
.btn-success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.btn-success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.btn-success:active:hover,
.btn-success.active:hover,
.open > .dropdown-toggle.btn-success:hover,
.btn-success:active:focus,
.btn-success.active:focus,
.open > .dropdown-toggle.btn-success:focus,
.btn-success:active.focus,
.btn-success.active.focus,
.open > .dropdown-toggle.btn-success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.btn-success:active,
.btn-success.active,
.open > .dropdown-toggle.btn-success {
  background-image: none;
}
.btn-success.disabled:hover,
.btn-success[disabled]:hover,
fieldset[disabled] .btn-success:hover,
.btn-success.disabled:focus,
.btn-success[disabled]:focus,
fieldset[disabled] .btn-success:focus,
.btn-success.disabled.focus,
.btn-success[disabled].focus,
fieldset[disabled] .btn-success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.btn-success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.btn-info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info:focus,
.btn-info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.btn-info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.btn-info:active:hover,
.btn-info.active:hover,
.open > .dropdown-toggle.btn-info:hover,
.btn-info:active:focus,
.btn-info.active:focus,
.open > .dropdown-toggle.btn-info:focus,
.btn-info:active.focus,
.btn-info.active.focus,
.open > .dropdown-toggle.btn-info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.btn-info:active,
.btn-info.active,
.open > .dropdown-toggle.btn-info {
  background-image: none;
}
.btn-info.disabled:hover,
.btn-info[disabled]:hover,
fieldset[disabled] .btn-info:hover,
.btn-info.disabled:focus,
.btn-info[disabled]:focus,
fieldset[disabled] .btn-info:focus,
.btn-info.disabled.focus,
.btn-info[disabled].focus,
fieldset[disabled] .btn-info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.btn-info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.btn-warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning:focus,
.btn-warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.btn-warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.btn-warning:active:hover,
.btn-warning.active:hover,
.open > .dropdown-toggle.btn-warning:hover,
.btn-warning:active:focus,
.btn-warning.active:focus,
.open > .dropdown-toggle.btn-warning:focus,
.btn-warning:active.focus,
.btn-warning.active.focus,
.open > .dropdown-toggle.btn-warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.btn-warning:active,
.btn-warning.active,
.open > .dropdown-toggle.btn-warning {
  background-image: none;
}
.btn-warning.disabled:hover,
.btn-warning[disabled]:hover,
fieldset[disabled] .btn-warning:hover,
.btn-warning.disabled:focus,
.btn-warning[disabled]:focus,
fieldset[disabled] .btn-warning:focus,
.btn-warning.disabled.focus,
.btn-warning[disabled].focus,
fieldset[disabled] .btn-warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.btn-warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.btn-danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger:focus,
.btn-danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.btn-danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.btn-danger:active:hover,
.btn-danger.active:hover,
.open > .dropdown-toggle.btn-danger:hover,
.btn-danger:active:focus,
.btn-danger.active:focus,
.open > .dropdown-toggle.btn-danger:focus,
.btn-danger:active.focus,
.btn-danger.active.focus,
.open > .dropdown-toggle.btn-danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.btn-danger:active,
.btn-danger.active,
.open > .dropdown-toggle.btn-danger {
  background-image: none;
}
.btn-danger.disabled:hover,
.btn-danger[disabled]:hover,
fieldset[disabled] .btn-danger:hover,
.btn-danger.disabled:focus,
.btn-danger[disabled]:focus,
fieldset[disabled] .btn-danger:focus,
.btn-danger.disabled.focus,
.btn-danger[disabled].focus,
fieldset[disabled] .btn-danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.btn-danger .badge {
  color: #d9534f;
  background-color: #fff;
}
.btn-link {
  color: #337ab7;
  font-weight: normal;
  border-radius: 0;
}
.btn-link,
.btn-link:active,
.btn-link.active,
.btn-link[disabled],
fieldset[disabled] .btn-link {
  background-color: transparent;
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn-link,
.btn-link:hover,
.btn-link:focus,
.btn-link:active {
  border-color: transparent;
}
.btn-link:hover,
.btn-link:focus {
  color: #23527c;
  text-decoration: underline;
  background-color: transparent;
}
.btn-link[disabled]:hover,
fieldset[disabled] .btn-link:hover,
.btn-link[disabled]:focus,
fieldset[disabled] .btn-link:focus {
  color: #777777;
  text-decoration: none;
}
.btn-lg,
.btn-group-lg > .btn {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
.btn-sm,
.btn-group-sm > .btn {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-xs,
.btn-group-xs > .btn {
  padding: 1px 5px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
.btn-block {
  display: block;
  width: 100%;
}
.btn-block + .btn-block {
  margin-top: 5px;
}
input[type="submit"].btn-block,
input[type="reset"].btn-block,
input[type="button"].btn-block {
  width: 100%;
}
.fade {
  opacity: 0;
  -webkit-transition: opacity 0.15s linear;
  -o-transition: opacity 0.15s linear;
  transition: opacity 0.15s linear;
}
.fade.in {
  opacity: 1;
}
.collapse {
  display: none;
}
.collapse.in {
  display: block;
}
tr.collapse.in {
  display: table-row;
}
tbody.collapse.in {
  display: table-row-group;
}
.collapsing {
  position: relative;
  height: 0;
  overflow: hidden;
  -webkit-transition-property: height, visibility;
  transition-property: height, visibility;
  -webkit-transition-duration: 0.35s;
  transition-duration: 0.35s;
  -webkit-transition-timing-function: ease;
  transition-timing-function: ease;
}
.caret {
  display: inline-block;
  width: 0;
  height: 0;
  margin-left: 2px;
  vertical-align: middle;
  border-top: 4px dashed;
  border-top: 4px solid \9;
  border-right: 4px solid transparent;
  border-left: 4px solid transparent;
}
.dropup,
.dropdown {
  position: relative;
}
.dropdown-toggle:focus {
  outline: 0;
}
.dropdown-menu {
  position: absolute;
  top: 100%;
  left: 0;
  z-index: 1000;
  display: none;
  float: left;
  min-width: 160px;
  padding: 5px 0;
  margin: 2px 0 0;
  list-style: none;
  font-size: 13px;
  text-align: left;
  background-color: #fff;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.15);
  border-radius: 2px;
  -webkit-box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  box-shadow: 0 6px 12px rgba(0, 0, 0, 0.175);
  background-clip: padding-box;
}
.dropdown-menu.pull-right {
  right: 0;
  left: auto;
}
.dropdown-menu .divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.dropdown-menu > li > a {
  display: block;
  padding: 3px 20px;
  clear: both;
  font-weight: normal;
  line-height: 1.42857143;
  color: #333333;
  white-space: nowrap;
}
.dropdown-menu > li > a:hover,
.dropdown-menu > li > a:focus {
  text-decoration: none;
  color: #262626;
  background-color: #f5f5f5;
}
.dropdown-menu > .active > a,
.dropdown-menu > .active > a:hover,
.dropdown-menu > .active > a:focus {
  color: #fff;
  text-decoration: none;
  outline: 0;
  background-color: #337ab7;
}
.dropdown-menu > .disabled > a,
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  color: #777777;
}
.dropdown-menu > .disabled > a:hover,
.dropdown-menu > .disabled > a:focus {
  text-decoration: none;
  background-color: transparent;
  background-image: none;
  filter: progid:DXImageTransform.Microsoft.gradient(enabled = false);
  cursor: not-allowed;
}
.open > .dropdown-menu {
  display: block;
}
.open > a {
  outline: 0;
}
.dropdown-menu-right {
  left: auto;
  right: 0;
}
.dropdown-menu-left {
  left: 0;
  right: auto;
}
.dropdown-header {
  display: block;
  padding: 3px 20px;
  font-size: 12px;
  line-height: 1.42857143;
  color: #777777;
  white-space: nowrap;
}
.dropdown-backdrop {
  position: fixed;
  left: 0;
  right: 0;
  bottom: 0;
  top: 0;
  z-index: 990;
}
.pull-right > .dropdown-menu {
  right: 0;
  left: auto;
}
.dropup .caret,
.navbar-fixed-bottom .dropdown .caret {
  border-top: 0;
  border-bottom: 4px dashed;
  border-bottom: 4px solid \9;
  content: "";
}
.dropup .dropdown-menu,
.navbar-fixed-bottom .dropdown .dropdown-menu {
  top: auto;
  bottom: 100%;
  margin-bottom: 2px;
}
@media (min-width: 541px) {
  .navbar-right .dropdown-menu {
    left: auto;
    right: 0;
  }
  .navbar-right .dropdown-menu-left {
    left: 0;
    right: auto;
  }
}
.btn-group,
.btn-group-vertical {
  position: relative;
  display: inline-block;
  vertical-align: middle;
}
.btn-group > .btn,
.btn-group-vertical > .btn {
  position: relative;
  float: left;
}
.btn-group > .btn:hover,
.btn-group-vertical > .btn:hover,
.btn-group > .btn:focus,
.btn-group-vertical > .btn:focus,
.btn-group > .btn:active,
.btn-group-vertical > .btn:active,
.btn-group > .btn.active,
.btn-group-vertical > .btn.active {
  z-index: 2;
}
.btn-group .btn + .btn,
.btn-group .btn + .btn-group,
.btn-group .btn-group + .btn,
.btn-group .btn-group + .btn-group {
  margin-left: -1px;
}
.btn-toolbar {
  margin-left: -5px;
}
.btn-toolbar .btn,
.btn-toolbar .btn-group,
.btn-toolbar .input-group {
  float: left;
}
.btn-toolbar > .btn,
.btn-toolbar > .btn-group,
.btn-toolbar > .input-group {
  margin-left: 5px;
}
.btn-group > .btn:not(:first-child):not(:last-child):not(.dropdown-toggle) {
  border-radius: 0;
}
.btn-group > .btn:first-child {
  margin-left: 0;
}
.btn-group > .btn:first-child:not(:last-child):not(.dropdown-toggle) {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn:last-child:not(:first-child),
.btn-group > .dropdown-toggle:not(:first-child) {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group > .btn-group {
  float: left;
}
.btn-group > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.btn-group > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.btn-group .dropdown-toggle:active,
.btn-group.open .dropdown-toggle {
  outline: 0;
}
.btn-group > .btn + .dropdown-toggle {
  padding-left: 8px;
  padding-right: 8px;
}
.btn-group > .btn-lg + .dropdown-toggle {
  padding-left: 12px;
  padding-right: 12px;
}
.btn-group.open .dropdown-toggle {
  -webkit-box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
  box-shadow: inset 0 3px 5px rgba(0, 0, 0, 0.125);
}
.btn-group.open .dropdown-toggle.btn-link {
  -webkit-box-shadow: none;
  box-shadow: none;
}
.btn .caret {
  margin-left: 0;
}
.btn-lg .caret {
  border-width: 5px 5px 0;
  border-bottom-width: 0;
}
.dropup .btn-lg .caret {
  border-width: 0 5px 5px;
}
.btn-group-vertical > .btn,
.btn-group-vertical > .btn-group,
.btn-group-vertical > .btn-group > .btn {
  display: block;
  float: none;
  width: 100%;
  max-width: 100%;
}
.btn-group-vertical > .btn-group > .btn {
  float: none;
}
.btn-group-vertical > .btn + .btn,
.btn-group-vertical > .btn + .btn-group,
.btn-group-vertical > .btn-group + .btn,
.btn-group-vertical > .btn-group + .btn-group {
  margin-top: -1px;
  margin-left: 0;
}
.btn-group-vertical > .btn:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.btn-group-vertical > .btn:first-child:not(:last-child) {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn:last-child:not(:first-child) {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
.btn-group-vertical > .btn-group:not(:first-child):not(:last-child) > .btn {
  border-radius: 0;
}
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .btn:last-child,
.btn-group-vertical > .btn-group:first-child:not(:last-child) > .dropdown-toggle {
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.btn-group-vertical > .btn-group:last-child:not(:first-child) > .btn:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.btn-group-justified {
  display: table;
  width: 100%;
  table-layout: fixed;
  border-collapse: separate;
}
.btn-group-justified > .btn,
.btn-group-justified > .btn-group {
  float: none;
  display: table-cell;
  width: 1%;
}
.btn-group-justified > .btn-group .btn {
  width: 100%;
}
.btn-group-justified > .btn-group .dropdown-menu {
  left: auto;
}
[data-toggle="buttons"] > .btn input[type="radio"],
[data-toggle="buttons"] > .btn-group > .btn input[type="radio"],
[data-toggle="buttons"] > .btn input[type="checkbox"],
[data-toggle="buttons"] > .btn-group > .btn input[type="checkbox"] {
  position: absolute;
  clip: rect(0, 0, 0, 0);
  pointer-events: none;
}
.input-group {
  position: relative;
  display: table;
  border-collapse: separate;
}
.input-group[class*="col-"] {
  float: none;
  padding-left: 0;
  padding-right: 0;
}
.input-group .form-control {
  position: relative;
  z-index: 2;
  float: left;
  width: 100%;
  margin-bottom: 0;
}
.input-group .form-control:focus {
  z-index: 3;
}
.input-group-lg > .form-control,
.input-group-lg > .input-group-addon,
.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
  border-radius: 3px;
}
select.input-group-lg > .form-control,
select.input-group-lg > .input-group-addon,
select.input-group-lg > .input-group-btn > .btn {
  height: 45px;
  line-height: 45px;
}
textarea.input-group-lg > .form-control,
textarea.input-group-lg > .input-group-addon,
textarea.input-group-lg > .input-group-btn > .btn,
select[multiple].input-group-lg > .form-control,
select[multiple].input-group-lg > .input-group-addon,
select[multiple].input-group-lg > .input-group-btn > .btn {
  height: auto;
}
.input-group-sm > .form-control,
.input-group-sm > .input-group-addon,
.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
}
select.input-group-sm > .form-control,
select.input-group-sm > .input-group-addon,
select.input-group-sm > .input-group-btn > .btn {
  height: 30px;
  line-height: 30px;
}
textarea.input-group-sm > .form-control,
textarea.input-group-sm > .input-group-addon,
textarea.input-group-sm > .input-group-btn > .btn,
select[multiple].input-group-sm > .form-control,
select[multiple].input-group-sm > .input-group-addon,
select[multiple].input-group-sm > .input-group-btn > .btn {
  height: auto;
}
.input-group-addon,
.input-group-btn,
.input-group .form-control {
  display: table-cell;
}
.input-group-addon:not(:first-child):not(:last-child),
.input-group-btn:not(:first-child):not(:last-child),
.input-group .form-control:not(:first-child):not(:last-child) {
  border-radius: 0;
}
.input-group-addon,
.input-group-btn {
  width: 1%;
  white-space: nowrap;
  vertical-align: middle;
}
.input-group-addon {
  padding: 6px 12px;
  font-size: 13px;
  font-weight: normal;
  line-height: 1;
  color: #555555;
  text-align: center;
  background-color: #eeeeee;
  border: 1px solid #ccc;
  border-radius: 2px;
}
.input-group-addon.input-sm {
  padding: 5px 10px;
  font-size: 12px;
  border-radius: 1px;
}
.input-group-addon.input-lg {
  padding: 10px 16px;
  font-size: 17px;
  border-radius: 3px;
}
.input-group-addon input[type="radio"],
.input-group-addon input[type="checkbox"] {
  margin-top: 0;
}
.input-group .form-control:first-child,
.input-group-addon:first-child,
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group > .btn,
.input-group-btn:first-child > .dropdown-toggle,
.input-group-btn:last-child > .btn:not(:last-child):not(.dropdown-toggle),
.input-group-btn:last-child > .btn-group:not(:last-child) > .btn {
  border-bottom-right-radius: 0;
  border-top-right-radius: 0;
}
.input-group-addon:first-child {
  border-right: 0;
}
.input-group .form-control:last-child,
.input-group-addon:last-child,
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group > .btn,
.input-group-btn:last-child > .dropdown-toggle,
.input-group-btn:first-child > .btn:not(:first-child),
.input-group-btn:first-child > .btn-group:not(:first-child) > .btn {
  border-bottom-left-radius: 0;
  border-top-left-radius: 0;
}
.input-group-addon:last-child {
  border-left: 0;
}
.input-group-btn {
  position: relative;
  font-size: 0;
  white-space: nowrap;
}
.input-group-btn > .btn {
  position: relative;
}
.input-group-btn > .btn + .btn {
  margin-left: -1px;
}
.input-group-btn > .btn:hover,
.input-group-btn > .btn:focus,
.input-group-btn > .btn:active {
  z-index: 2;
}
.input-group-btn:first-child > .btn,
.input-group-btn:first-child > .btn-group {
  margin-right: -1px;
}
.input-group-btn:last-child > .btn,
.input-group-btn:last-child > .btn-group {
  z-index: 2;
  margin-left: -1px;
}
.nav {
  margin-bottom: 0;
  padding-left: 0;
  list-style: none;
}
.nav > li {
  position: relative;
  display: block;
}
.nav > li > a {
  position: relative;
  display: block;
  padding: 10px 15px;
}
.nav > li > a:hover,
.nav > li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.nav > li.disabled > a {
  color: #777777;
}
.nav > li.disabled > a:hover,
.nav > li.disabled > a:focus {
  color: #777777;
  text-decoration: none;
  background-color: transparent;
  cursor: not-allowed;
}
.nav .open > a,
.nav .open > a:hover,
.nav .open > a:focus {
  background-color: #eeeeee;
  border-color: #337ab7;
}
.nav .nav-divider {
  height: 1px;
  margin: 8px 0;
  overflow: hidden;
  background-color: #e5e5e5;
}
.nav > li > a > img {
  max-width: none;
}
.nav-tabs {
  border-bottom: 1px solid #ddd;
}
.nav-tabs > li {
  float: left;
  margin-bottom: -1px;
}
.nav-tabs > li > a {
  margin-right: 2px;
  line-height: 1.42857143;
  border: 1px solid transparent;
  border-radius: 2px 2px 0 0;
}
.nav-tabs > li > a:hover {
  border-color: #eeeeee #eeeeee #ddd;
}
.nav-tabs > li.active > a,
.nav-tabs > li.active > a:hover,
.nav-tabs > li.active > a:focus {
  color: #555555;
  background-color: #fff;
  border: 1px solid #ddd;
  border-bottom-color: transparent;
  cursor: default;
}
.nav-tabs.nav-justified {
  width: 100%;
  border-bottom: 0;
}
.nav-tabs.nav-justified > li {
  float: none;
}
.nav-tabs.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-tabs.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-tabs.nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs.nav-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs.nav-justified > .active > a,
.nav-tabs.nav-justified > .active > a:hover,
.nav-tabs.nav-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs.nav-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs.nav-justified > .active > a,
  .nav-tabs.nav-justified > .active > a:hover,
  .nav-tabs.nav-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.nav-pills > li {
  float: left;
}
.nav-pills > li > a {
  border-radius: 2px;
}
.nav-pills > li + li {
  margin-left: 2px;
}
.nav-pills > li.active > a,
.nav-pills > li.active > a:hover,
.nav-pills > li.active > a:focus {
  color: #fff;
  background-color: #337ab7;
}
.nav-stacked > li {
  float: none;
}
.nav-stacked > li + li {
  margin-top: 2px;
  margin-left: 0;
}
.nav-justified {
  width: 100%;
}
.nav-justified > li {
  float: none;
}
.nav-justified > li > a {
  text-align: center;
  margin-bottom: 5px;
}
.nav-justified > .dropdown .dropdown-menu {
  top: auto;
  left: auto;
}
@media (min-width: 768px) {
  .nav-justified > li {
    display: table-cell;
    width: 1%;
  }
  .nav-justified > li > a {
    margin-bottom: 0;
  }
}
.nav-tabs-justified {
  border-bottom: 0;
}
.nav-tabs-justified > li > a {
  margin-right: 0;
  border-radius: 2px;
}
.nav-tabs-justified > .active > a,
.nav-tabs-justified > .active > a:hover,
.nav-tabs-justified > .active > a:focus {
  border: 1px solid #ddd;
}
@media (min-width: 768px) {
  .nav-tabs-justified > li > a {
    border-bottom: 1px solid #ddd;
    border-radius: 2px 2px 0 0;
  }
  .nav-tabs-justified > .active > a,
  .nav-tabs-justified > .active > a:hover,
  .nav-tabs-justified > .active > a:focus {
    border-bottom-color: #fff;
  }
}
.tab-content > .tab-pane {
  display: none;
}
.tab-content > .active {
  display: block;
}
.nav-tabs .dropdown-menu {
  margin-top: -1px;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar {
  position: relative;
  min-height: 30px;
  margin-bottom: 18px;
  border: 1px solid transparent;
}
@media (min-width: 541px) {
  .navbar {
    border-radius: 2px;
  }
}
@media (min-width: 541px) {
  .navbar-header {
    float: left;
  }
}
.navbar-collapse {
  overflow-x: visible;
  padding-right: 0px;
  padding-left: 0px;
  border-top: 1px solid transparent;
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1);
  -webkit-overflow-scrolling: touch;
}
.navbar-collapse.in {
  overflow-y: auto;
}
@media (min-width: 541px) {
  .navbar-collapse {
    width: auto;
    border-top: 0;
    box-shadow: none;
  }
  .navbar-collapse.collapse {
    display: block !important;
    height: auto !important;
    padding-bottom: 0;
    overflow: visible !important;
  }
  .navbar-collapse.in {
    overflow-y: visible;
  }
  .navbar-fixed-top .navbar-collapse,
  .navbar-static-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    padding-left: 0;
    padding-right: 0;
  }
}
.navbar-fixed-top .navbar-collapse,
.navbar-fixed-bottom .navbar-collapse {
  max-height: 340px;
}
@media (max-device-width: 540px) and (orientation: landscape) {
  .navbar-fixed-top .navbar-collapse,
  .navbar-fixed-bottom .navbar-collapse {
    max-height: 200px;
  }
}
.container > .navbar-header,
.container-fluid > .navbar-header,
.container > .navbar-collapse,
.container-fluid > .navbar-collapse {
  margin-right: 0px;
  margin-left: 0px;
}
@media (min-width: 541px) {
  .container > .navbar-header,
  .container-fluid > .navbar-header,
  .container > .navbar-collapse,
  .container-fluid > .navbar-collapse {
    margin-right: 0;
    margin-left: 0;
  }
}
.navbar-static-top {
  z-index: 1000;
  border-width: 0 0 1px;
}
@media (min-width: 541px) {
  .navbar-static-top {
    border-radius: 0;
  }
}
.navbar-fixed-top,
.navbar-fixed-bottom {
  position: fixed;
  right: 0;
  left: 0;
  z-index: 1030;
}
@media (min-width: 541px) {
  .navbar-fixed-top,
  .navbar-fixed-bottom {
    border-radius: 0;
  }
}
.navbar-fixed-top {
  top: 0;
  border-width: 0 0 1px;
}
.navbar-fixed-bottom {
  bottom: 0;
  margin-bottom: 0;
  border-width: 1px 0 0;
}
.navbar-brand {
  float: left;
  padding: 6px 0px;
  font-size: 17px;
  line-height: 18px;
  height: 30px;
}
.navbar-brand:hover,
.navbar-brand:focus {
  text-decoration: none;
}
.navbar-brand > img {
  display: block;
}
@media (min-width: 541px) {
  .navbar > .container .navbar-brand,
  .navbar > .container-fluid .navbar-brand {
    margin-left: 0px;
  }
}
.navbar-toggle {
  position: relative;
  float: right;
  margin-right: 0px;
  padding: 9px 10px;
  margin-top: -2px;
  margin-bottom: -2px;
  background-color: transparent;
  background-image: none;
  border: 1px solid transparent;
  border-radius: 2px;
}
.navbar-toggle:focus {
  outline: 0;
}
.navbar-toggle .icon-bar {
  display: block;
  width: 22px;
  height: 2px;
  border-radius: 1px;
}
.navbar-toggle .icon-bar + .icon-bar {
  margin-top: 4px;
}
@media (min-width: 541px) {
  .navbar-toggle {
    display: none;
  }
}
.navbar-nav {
  margin: 3px 0px;
}
.navbar-nav > li > a {
  padding-top: 10px;
  padding-bottom: 10px;
  line-height: 18px;
}
@media (max-width: 540px) {
  .navbar-nav .open .dropdown-menu {
    position: static;
    float: none;
    width: auto;
    margin-top: 0;
    background-color: transparent;
    border: 0;
    box-shadow: none;
  }
  .navbar-nav .open .dropdown-menu > li > a,
  .navbar-nav .open .dropdown-menu .dropdown-header {
    padding: 5px 15px 5px 25px;
  }
  .navbar-nav .open .dropdown-menu > li > a {
    line-height: 18px;
  }
  .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-nav .open .dropdown-menu > li > a:focus {
    background-image: none;
  }
}
@media (min-width: 541px) {
  .navbar-nav {
    float: left;
    margin: 0;
  }
  .navbar-nav > li {
    float: left;
  }
  .navbar-nav > li > a {
    padding-top: 6px;
    padding-bottom: 6px;
  }
}
.navbar-form {
  margin-left: 0px;
  margin-right: 0px;
  padding: 10px 0px;
  border-top: 1px solid transparent;
  border-bottom: 1px solid transparent;
  -webkit-box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  box-shadow: inset 0 1px 0 rgba(255, 255, 255, 0.1), 0 1px 0 rgba(255, 255, 255, 0.1);
  margin-top: -1px;
  margin-bottom: -1px;
}
@media (min-width: 768px) {
  .navbar-form .form-group {
    display: inline-block;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .form-control {
    display: inline-block;
    width: auto;
    vertical-align: middle;
  }
  .navbar-form .form-control-static {
    display: inline-block;
  }
  .navbar-form .input-group {
    display: inline-table;
    vertical-align: middle;
  }
  .navbar-form .input-group .input-group-addon,
  .navbar-form .input-group .input-group-btn,
  .navbar-form .input-group .form-control {
    width: auto;
  }
  .navbar-form .input-group > .form-control {
    width: 100%;
  }
  .navbar-form .control-label {
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio,
  .navbar-form .checkbox {
    display: inline-block;
    margin-top: 0;
    margin-bottom: 0;
    vertical-align: middle;
  }
  .navbar-form .radio label,
  .navbar-form .checkbox label {
    padding-left: 0;
  }
  .navbar-form .radio input[type="radio"],
  .navbar-form .checkbox input[type="checkbox"] {
    position: relative;
    margin-left: 0;
  }
  .navbar-form .has-feedback .form-control-feedback {
    top: 0;
  }
}
@media (max-width: 540px) {
  .navbar-form .form-group {
    margin-bottom: 5px;
  }
  .navbar-form .form-group:last-child {
    margin-bottom: 0;
  }
}
@media (min-width: 541px) {
  .navbar-form {
    width: auto;
    border: 0;
    margin-left: 0;
    margin-right: 0;
    padding-top: 0;
    padding-bottom: 0;
    -webkit-box-shadow: none;
    box-shadow: none;
  }
}
.navbar-nav > li > .dropdown-menu {
  margin-top: 0;
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.navbar-fixed-bottom .navbar-nav > li > .dropdown-menu {
  margin-bottom: 0;
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
  border-bottom-right-radius: 0;
  border-bottom-left-radius: 0;
}
.navbar-btn {
  margin-top: -1px;
  margin-bottom: -1px;
}
.navbar-btn.btn-sm {
  margin-top: 0px;
  margin-bottom: 0px;
}
.navbar-btn.btn-xs {
  margin-top: 4px;
  margin-bottom: 4px;
}
.navbar-text {
  margin-top: 6px;
  margin-bottom: 6px;
}
@media (min-width: 541px) {
  .navbar-text {
    float: left;
    margin-left: 0px;
    margin-right: 0px;
  }
}
@media (min-width: 541px) {
  .navbar-left {
    float: left !important;
    float: left;
  }
  .navbar-right {
    float: right !important;
    float: right;
    margin-right: 0px;
  }
  .navbar-right ~ .navbar-right {
    margin-right: 0;
  }
}
.navbar-default {
  background-color: #f8f8f8;
  border-color: #e7e7e7;
}
.navbar-default .navbar-brand {
  color: #777;
}
.navbar-default .navbar-brand:hover,
.navbar-default .navbar-brand:focus {
  color: #5e5e5e;
  background-color: transparent;
}
.navbar-default .navbar-text {
  color: #777;
}
.navbar-default .navbar-nav > li > a {
  color: #777;
}
.navbar-default .navbar-nav > li > a:hover,
.navbar-default .navbar-nav > li > a:focus {
  color: #333;
  background-color: transparent;
}
.navbar-default .navbar-nav > .active > a,
.navbar-default .navbar-nav > .active > a:hover,
.navbar-default .navbar-nav > .active > a:focus {
  color: #555;
  background-color: #e7e7e7;
}
.navbar-default .navbar-nav > .disabled > a,
.navbar-default .navbar-nav > .disabled > a:hover,
.navbar-default .navbar-nav > .disabled > a:focus {
  color: #ccc;
  background-color: transparent;
}
.navbar-default .navbar-toggle {
  border-color: #ddd;
}
.navbar-default .navbar-toggle:hover,
.navbar-default .navbar-toggle:focus {
  background-color: #ddd;
}
.navbar-default .navbar-toggle .icon-bar {
  background-color: #888;
}
.navbar-default .navbar-collapse,
.navbar-default .navbar-form {
  border-color: #e7e7e7;
}
.navbar-default .navbar-nav > .open > a,
.navbar-default .navbar-nav > .open > a:hover,
.navbar-default .navbar-nav > .open > a:focus {
  background-color: #e7e7e7;
  color: #555;
}
@media (max-width: 540px) {
  .navbar-default .navbar-nav .open .dropdown-menu > li > a {
    color: #777;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #333;
    background-color: transparent;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #555;
    background-color: #e7e7e7;
  }
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-default .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #ccc;
    background-color: transparent;
  }
}
.navbar-default .navbar-link {
  color: #777;
}
.navbar-default .navbar-link:hover {
  color: #333;
}
.navbar-default .btn-link {
  color: #777;
}
.navbar-default .btn-link:hover,
.navbar-default .btn-link:focus {
  color: #333;
}
.navbar-default .btn-link[disabled]:hover,
fieldset[disabled] .navbar-default .btn-link:hover,
.navbar-default .btn-link[disabled]:focus,
fieldset[disabled] .navbar-default .btn-link:focus {
  color: #ccc;
}
.navbar-inverse {
  background-color: #222;
  border-color: #080808;
}
.navbar-inverse .navbar-brand {
  color: #9d9d9d;
}
.navbar-inverse .navbar-brand:hover,
.navbar-inverse .navbar-brand:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-text {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a {
  color: #9d9d9d;
}
.navbar-inverse .navbar-nav > li > a:hover,
.navbar-inverse .navbar-nav > li > a:focus {
  color: #fff;
  background-color: transparent;
}
.navbar-inverse .navbar-nav > .active > a,
.navbar-inverse .navbar-nav > .active > a:hover,
.navbar-inverse .navbar-nav > .active > a:focus {
  color: #fff;
  background-color: #080808;
}
.navbar-inverse .navbar-nav > .disabled > a,
.navbar-inverse .navbar-nav > .disabled > a:hover,
.navbar-inverse .navbar-nav > .disabled > a:focus {
  color: #444;
  background-color: transparent;
}
.navbar-inverse .navbar-toggle {
  border-color: #333;
}
.navbar-inverse .navbar-toggle:hover,
.navbar-inverse .navbar-toggle:focus {
  background-color: #333;
}
.navbar-inverse .navbar-toggle .icon-bar {
  background-color: #fff;
}
.navbar-inverse .navbar-collapse,
.navbar-inverse .navbar-form {
  border-color: #101010;
}
.navbar-inverse .navbar-nav > .open > a,
.navbar-inverse .navbar-nav > .open > a:hover,
.navbar-inverse .navbar-nav > .open > a:focus {
  background-color: #080808;
  color: #fff;
}
@media (max-width: 540px) {
  .navbar-inverse .navbar-nav .open .dropdown-menu > .dropdown-header {
    border-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu .divider {
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a {
    color: #9d9d9d;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > li > a:focus {
    color: #fff;
    background-color: transparent;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .active > a:focus {
    color: #fff;
    background-color: #080808;
  }
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:hover,
  .navbar-inverse .navbar-nav .open .dropdown-menu > .disabled > a:focus {
    color: #444;
    background-color: transparent;
  }
}
.navbar-inverse .navbar-link {
  color: #9d9d9d;
}
.navbar-inverse .navbar-link:hover {
  color: #fff;
}
.navbar-inverse .btn-link {
  color: #9d9d9d;
}
.navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link:focus {
  color: #fff;
}
.navbar-inverse .btn-link[disabled]:hover,
fieldset[disabled] .navbar-inverse .btn-link:hover,
.navbar-inverse .btn-link[disabled]:focus,
fieldset[disabled] .navbar-inverse .btn-link:focus {
  color: #444;
}
.breadcrumb {
  padding: 8px 15px;
  margin-bottom: 18px;
  list-style: none;
  background-color: #f5f5f5;
  border-radius: 2px;
}
.breadcrumb > li {
  display: inline-block;
}
.breadcrumb > li + li:before {
  content: "/\00a0";
  padding: 0 5px;
  color: #5e5e5e;
}
.breadcrumb > .active {
  color: #777777;
}
.pagination {
  display: inline-block;
  padding-left: 0;
  margin: 18px 0;
  border-radius: 2px;
}
.pagination > li {
  display: inline;
}
.pagination > li > a,
.pagination > li > span {
  position: relative;
  float: left;
  padding: 6px 12px;
  line-height: 1.42857143;
  text-decoration: none;
  color: #337ab7;
  background-color: #fff;
  border: 1px solid #ddd;
  margin-left: -1px;
}
.pagination > li:first-child > a,
.pagination > li:first-child > span {
  margin-left: 0;
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.pagination > li:last-child > a,
.pagination > li:last-child > span {
  border-bottom-right-radius: 2px;
  border-top-right-radius: 2px;
}
.pagination > li > a:hover,
.pagination > li > span:hover,
.pagination > li > a:focus,
.pagination > li > span:focus {
  z-index: 2;
  color: #23527c;
  background-color: #eeeeee;
  border-color: #ddd;
}
.pagination > .active > a,
.pagination > .active > span,
.pagination > .active > a:hover,
.pagination > .active > span:hover,
.pagination > .active > a:focus,
.pagination > .active > span:focus {
  z-index: 3;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
  cursor: default;
}
.pagination > .disabled > span,
.pagination > .disabled > span:hover,
.pagination > .disabled > span:focus,
.pagination > .disabled > a,
.pagination > .disabled > a:hover,
.pagination > .disabled > a:focus {
  color: #777777;
  background-color: #fff;
  border-color: #ddd;
  cursor: not-allowed;
}
.pagination-lg > li > a,
.pagination-lg > li > span {
  padding: 10px 16px;
  font-size: 17px;
  line-height: 1.3333333;
}
.pagination-lg > li:first-child > a,
.pagination-lg > li:first-child > span {
  border-bottom-left-radius: 3px;
  border-top-left-radius: 3px;
}
.pagination-lg > li:last-child > a,
.pagination-lg > li:last-child > span {
  border-bottom-right-radius: 3px;
  border-top-right-radius: 3px;
}
.pagination-sm > li > a,
.pagination-sm > li > span {
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
}
.pagination-sm > li:first-child > a,
.pagination-sm > li:first-child > span {
  border-bottom-left-radius: 1px;
  border-top-left-radius: 1px;
}
.pagination-sm > li:last-child > a,
.pagination-sm > li:last-child > span {
  border-bottom-right-radius: 1px;
  border-top-right-radius: 1px;
}
.pager {
  padding-left: 0;
  margin: 18px 0;
  list-style: none;
  text-align: center;
}
.pager li {
  display: inline;
}
.pager li > a,
.pager li > span {
  display: inline-block;
  padding: 5px 14px;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 15px;
}
.pager li > a:hover,
.pager li > a:focus {
  text-decoration: none;
  background-color: #eeeeee;
}
.pager .next > a,
.pager .next > span {
  float: right;
}
.pager .previous > a,
.pager .previous > span {
  float: left;
}
.pager .disabled > a,
.pager .disabled > a:hover,
.pager .disabled > a:focus,
.pager .disabled > span {
  color: #777777;
  background-color: #fff;
  cursor: not-allowed;
}
.label {
  display: inline;
  padding: .2em .6em .3em;
  font-size: 75%;
  font-weight: bold;
  line-height: 1;
  color: #fff;
  text-align: center;
  white-space: nowrap;
  vertical-align: baseline;
  border-radius: .25em;
}
a.label:hover,
a.label:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.label:empty {
  display: none;
}
.btn .label {
  position: relative;
  top: -1px;
}
.label-default {
  background-color: #777777;
}
.label-default[href]:hover,
.label-default[href]:focus {
  background-color: #5e5e5e;
}
.label-primary {
  background-color: #337ab7;
}
.label-primary[href]:hover,
.label-primary[href]:focus {
  background-color: #286090;
}
.label-success {
  background-color: #5cb85c;
}
.label-success[href]:hover,
.label-success[href]:focus {
  background-color: #449d44;
}
.label-info {
  background-color: #5bc0de;
}
.label-info[href]:hover,
.label-info[href]:focus {
  background-color: #31b0d5;
}
.label-warning {
  background-color: #f0ad4e;
}
.label-warning[href]:hover,
.label-warning[href]:focus {
  background-color: #ec971f;
}
.label-danger {
  background-color: #d9534f;
}
.label-danger[href]:hover,
.label-danger[href]:focus {
  background-color: #c9302c;
}
.badge {
  display: inline-block;
  min-width: 10px;
  padding: 3px 7px;
  font-size: 12px;
  font-weight: bold;
  color: #fff;
  line-height: 1;
  vertical-align: middle;
  white-space: nowrap;
  text-align: center;
  background-color: #777777;
  border-radius: 10px;
}
.badge:empty {
  display: none;
}
.btn .badge {
  position: relative;
  top: -1px;
}
.btn-xs .badge,
.btn-group-xs > .btn .badge {
  top: 0;
  padding: 1px 5px;
}
a.badge:hover,
a.badge:focus {
  color: #fff;
  text-decoration: none;
  cursor: pointer;
}
.list-group-item.active > .badge,
.nav-pills > .active > a > .badge {
  color: #337ab7;
  background-color: #fff;
}
.list-group-item > .badge {
  float: right;
}
.list-group-item > .badge + .badge {
  margin-right: 5px;
}
.nav-pills > li > a > .badge {
  margin-left: 3px;
}
.jumbotron {
  padding-top: 30px;
  padding-bottom: 30px;
  margin-bottom: 30px;
  color: inherit;
  background-color: #eeeeee;
}
.jumbotron h1,
.jumbotron .h1 {
  color: inherit;
}
.jumbotron p {
  margin-bottom: 15px;
  font-size: 20px;
  font-weight: 200;
}
.jumbotron > hr {
  border-top-color: #d5d5d5;
}
.container .jumbotron,
.container-fluid .jumbotron {
  border-radius: 3px;
  padding-left: 0px;
  padding-right: 0px;
}
.jumbotron .container {
  max-width: 100%;
}
@media screen and (min-width: 768px) {
  .jumbotron {
    padding-top: 48px;
    padding-bottom: 48px;
  }
  .container .jumbotron,
  .container-fluid .jumbotron {
    padding-left: 60px;
    padding-right: 60px;
  }
  .jumbotron h1,
  .jumbotron .h1 {
    font-size: 59px;
  }
}
.thumbnail {
  display: block;
  padding: 4px;
  margin-bottom: 18px;
  line-height: 1.42857143;
  background-color: #fff;
  border: 1px solid #ddd;
  border-radius: 2px;
  -webkit-transition: border 0.2s ease-in-out;
  -o-transition: border 0.2s ease-in-out;
  transition: border 0.2s ease-in-out;
}
.thumbnail > img,
.thumbnail a > img {
  margin-left: auto;
  margin-right: auto;
}
a.thumbnail:hover,
a.thumbnail:focus,
a.thumbnail.active {
  border-color: #337ab7;
}
.thumbnail .caption {
  padding: 9px;
  color: #000;
}
.alert {
  padding: 15px;
  margin-bottom: 18px;
  border: 1px solid transparent;
  border-radius: 2px;
}
.alert h4 {
  margin-top: 0;
  color: inherit;
}
.alert .alert-link {
  font-weight: bold;
}
.alert > p,
.alert > ul {
  margin-bottom: 0;
}
.alert > p + p {
  margin-top: 5px;
}
.alert-dismissable,
.alert-dismissible {
  padding-right: 35px;
}
.alert-dismissable .close,
.alert-dismissible .close {
  position: relative;
  top: -2px;
  right: -21px;
  color: inherit;
}
.alert-success {
  background-color: #dff0d8;
  border-color: #d6e9c6;
  color: #3c763d;
}
.alert-success hr {
  border-top-color: #c9e2b3;
}
.alert-success .alert-link {
  color: #2b542c;
}
.alert-info {
  background-color: #d9edf7;
  border-color: #bce8f1;
  color: #31708f;
}
.alert-info hr {
  border-top-color: #a6e1ec;
}
.alert-info .alert-link {
  color: #245269;
}
.alert-warning {
  background-color: #fcf8e3;
  border-color: #faebcc;
  color: #8a6d3b;
}
.alert-warning hr {
  border-top-color: #f7e1b5;
}
.alert-warning .alert-link {
  color: #66512c;
}
.alert-danger {
  background-color: #f2dede;
  border-color: #ebccd1;
  color: #a94442;
}
.alert-danger hr {
  border-top-color: #e4b9c0;
}
.alert-danger .alert-link {
  color: #843534;
}
@-webkit-keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
@keyframes progress-bar-stripes {
  from {
    background-position: 40px 0;
  }
  to {
    background-position: 0 0;
  }
}
.progress {
  overflow: hidden;
  height: 18px;
  margin-bottom: 18px;
  background-color: #f5f5f5;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
  box-shadow: inset 0 1px 2px rgba(0, 0, 0, 0.1);
}
.progress-bar {
  float: left;
  width: 0%;
  height: 100%;
  font-size: 12px;
  line-height: 18px;
  color: #fff;
  text-align: center;
  background-color: #337ab7;
  -webkit-box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.15);
  -webkit-transition: width 0.6s ease;
  -o-transition: width 0.6s ease;
  transition: width 0.6s ease;
}
.progress-striped .progress-bar,
.progress-bar-striped {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-size: 40px 40px;
}
.progress.active .progress-bar,
.progress-bar.active {
  -webkit-animation: progress-bar-stripes 2s linear infinite;
  -o-animation: progress-bar-stripes 2s linear infinite;
  animation: progress-bar-stripes 2s linear infinite;
}
.progress-bar-success {
  background-color: #5cb85c;
}
.progress-striped .progress-bar-success {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-info {
  background-color: #5bc0de;
}
.progress-striped .progress-bar-info {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-warning {
  background-color: #f0ad4e;
}
.progress-striped .progress-bar-warning {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.progress-bar-danger {
  background-color: #d9534f;
}
.progress-striped .progress-bar-danger {
  background-image: -webkit-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: -o-linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
  background-image: linear-gradient(45deg, rgba(255, 255, 255, 0.15) 25%, transparent 25%, transparent 50%, rgba(255, 255, 255, 0.15) 50%, rgba(255, 255, 255, 0.15) 75%, transparent 75%, transparent);
}
.media {
  margin-top: 15px;
}
.media:first-child {
  margin-top: 0;
}
.media,
.media-body {
  zoom: 1;
  overflow: hidden;
}
.media-body {
  width: 10000px;
}
.media-object {
  display: block;
}
.media-object.img-thumbnail {
  max-width: none;
}
.media-right,
.media > .pull-right {
  padding-left: 10px;
}
.media-left,
.media > .pull-left {
  padding-right: 10px;
}
.media-left,
.media-right,
.media-body {
  display: table-cell;
  vertical-align: top;
}
.media-middle {
  vertical-align: middle;
}
.media-bottom {
  vertical-align: bottom;
}
.media-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.media-list {
  padding-left: 0;
  list-style: none;
}
.list-group {
  margin-bottom: 20px;
  padding-left: 0;
}
.list-group-item {
  position: relative;
  display: block;
  padding: 10px 15px;
  margin-bottom: -1px;
  background-color: #fff;
  border: 1px solid #ddd;
}
.list-group-item:first-child {
  border-top-right-radius: 2px;
  border-top-left-radius: 2px;
}
.list-group-item:last-child {
  margin-bottom: 0;
  border-bottom-right-radius: 2px;
  border-bottom-left-radius: 2px;
}
a.list-group-item,
button.list-group-item {
  color: #555;
}
a.list-group-item .list-group-item-heading,
button.list-group-item .list-group-item-heading {
  color: #333;
}
a.list-group-item:hover,
button.list-group-item:hover,
a.list-group-item:focus,
button.list-group-item:focus {
  text-decoration: none;
  color: #555;
  background-color: #f5f5f5;
}
button.list-group-item {
  width: 100%;
  text-align: left;
}
.list-group-item.disabled,
.list-group-item.disabled:hover,
.list-group-item.disabled:focus {
  background-color: #eeeeee;
  color: #777777;
  cursor: not-allowed;
}
.list-group-item.disabled .list-group-item-heading,
.list-group-item.disabled:hover .list-group-item-heading,
.list-group-item.disabled:focus .list-group-item-heading {
  color: inherit;
}
.list-group-item.disabled .list-group-item-text,
.list-group-item.disabled:hover .list-group-item-text,
.list-group-item.disabled:focus .list-group-item-text {
  color: #777777;
}
.list-group-item.active,
.list-group-item.active:hover,
.list-group-item.active:focus {
  z-index: 2;
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.list-group-item.active .list-group-item-heading,
.list-group-item.active:hover .list-group-item-heading,
.list-group-item.active:focus .list-group-item-heading,
.list-group-item.active .list-group-item-heading > small,
.list-group-item.active:hover .list-group-item-heading > small,
.list-group-item.active:focus .list-group-item-heading > small,
.list-group-item.active .list-group-item-heading > .small,
.list-group-item.active:hover .list-group-item-heading > .small,
.list-group-item.active:focus .list-group-item-heading > .small {
  color: inherit;
}
.list-group-item.active .list-group-item-text,
.list-group-item.active:hover .list-group-item-text,
.list-group-item.active:focus .list-group-item-text {
  color: #c7ddef;
}
.list-group-item-success {
  color: #3c763d;
  background-color: #dff0d8;
}
a.list-group-item-success,
button.list-group-item-success {
  color: #3c763d;
}
a.list-group-item-success .list-group-item-heading,
button.list-group-item-success .list-group-item-heading {
  color: inherit;
}
a.list-group-item-success:hover,
button.list-group-item-success:hover,
a.list-group-item-success:focus,
button.list-group-item-success:focus {
  color: #3c763d;
  background-color: #d0e9c6;
}
a.list-group-item-success.active,
button.list-group-item-success.active,
a.list-group-item-success.active:hover,
button.list-group-item-success.active:hover,
a.list-group-item-success.active:focus,
button.list-group-item-success.active:focus {
  color: #fff;
  background-color: #3c763d;
  border-color: #3c763d;
}
.list-group-item-info {
  color: #31708f;
  background-color: #d9edf7;
}
a.list-group-item-info,
button.list-group-item-info {
  color: #31708f;
}
a.list-group-item-info .list-group-item-heading,
button.list-group-item-info .list-group-item-heading {
  color: inherit;
}
a.list-group-item-info:hover,
button.list-group-item-info:hover,
a.list-group-item-info:focus,
button.list-group-item-info:focus {
  color: #31708f;
  background-color: #c4e3f3;
}
a.list-group-item-info.active,
button.list-group-item-info.active,
a.list-group-item-info.active:hover,
button.list-group-item-info.active:hover,
a.list-group-item-info.active:focus,
button.list-group-item-info.active:focus {
  color: #fff;
  background-color: #31708f;
  border-color: #31708f;
}
.list-group-item-warning {
  color: #8a6d3b;
  background-color: #fcf8e3;
}
a.list-group-item-warning,
button.list-group-item-warning {
  color: #8a6d3b;
}
a.list-group-item-warning .list-group-item-heading,
button.list-group-item-warning .list-group-item-heading {
  color: inherit;
}
a.list-group-item-warning:hover,
button.list-group-item-warning:hover,
a.list-group-item-warning:focus,
button.list-group-item-warning:focus {
  color: #8a6d3b;
  background-color: #faf2cc;
}
a.list-group-item-warning.active,
button.list-group-item-warning.active,
a.list-group-item-warning.active:hover,
button.list-group-item-warning.active:hover,
a.list-group-item-warning.active:focus,
button.list-group-item-warning.active:focus {
  color: #fff;
  background-color: #8a6d3b;
  border-color: #8a6d3b;
}
.list-group-item-danger {
  color: #a94442;
  background-color: #f2dede;
}
a.list-group-item-danger,
button.list-group-item-danger {
  color: #a94442;
}
a.list-group-item-danger .list-group-item-heading,
button.list-group-item-danger .list-group-item-heading {
  color: inherit;
}
a.list-group-item-danger:hover,
button.list-group-item-danger:hover,
a.list-group-item-danger:focus,
button.list-group-item-danger:focus {
  color: #a94442;
  background-color: #ebcccc;
}
a.list-group-item-danger.active,
button.list-group-item-danger.active,
a.list-group-item-danger.active:hover,
button.list-group-item-danger.active:hover,
a.list-group-item-danger.active:focus,
button.list-group-item-danger.active:focus {
  color: #fff;
  background-color: #a94442;
  border-color: #a94442;
}
.list-group-item-heading {
  margin-top: 0;
  margin-bottom: 5px;
}
.list-group-item-text {
  margin-bottom: 0;
  line-height: 1.3;
}
.panel {
  margin-bottom: 18px;
  background-color: #fff;
  border: 1px solid transparent;
  border-radius: 2px;
  -webkit-box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: 0 1px 1px rgba(0, 0, 0, 0.05);
}
.panel-body {
  padding: 15px;
}
.panel-heading {
  padding: 10px 15px;
  border-bottom: 1px solid transparent;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel-heading > .dropdown .dropdown-toggle {
  color: inherit;
}
.panel-title {
  margin-top: 0;
  margin-bottom: 0;
  font-size: 15px;
  color: inherit;
}
.panel-title > a,
.panel-title > small,
.panel-title > .small,
.panel-title > small > a,
.panel-title > .small > a {
  color: inherit;
}
.panel-footer {
  padding: 10px 15px;
  background-color: #f5f5f5;
  border-top: 1px solid #ddd;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .list-group,
.panel > .panel-collapse > .list-group {
  margin-bottom: 0;
}
.panel > .list-group .list-group-item,
.panel > .panel-collapse > .list-group .list-group-item {
  border-width: 1px 0;
  border-radius: 0;
}
.panel > .list-group:first-child .list-group-item:first-child,
.panel > .panel-collapse > .list-group:first-child .list-group-item:first-child {
  border-top: 0;
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .list-group:last-child .list-group-item:last-child,
.panel > .panel-collapse > .list-group:last-child .list-group-item:last-child {
  border-bottom: 0;
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .panel-heading + .panel-collapse > .list-group .list-group-item:first-child {
  border-top-right-radius: 0;
  border-top-left-radius: 0;
}
.panel-heading + .list-group .list-group-item:first-child {
  border-top-width: 0;
}
.list-group + .panel-footer {
  border-top-width: 0;
}
.panel > .table,
.panel > .table-responsive > .table,
.panel > .panel-collapse > .table {
  margin-bottom: 0;
}
.panel > .table caption,
.panel > .table-responsive > .table caption,
.panel > .panel-collapse > .table caption {
  padding-left: 15px;
  padding-right: 15px;
}
.panel > .table:first-child,
.panel > .table-responsive:first-child > .table:first-child {
  border-top-right-radius: 1px;
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child {
  border-top-left-radius: 1px;
  border-top-right-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:first-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:first-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:first-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:first-child {
  border-top-left-radius: 1px;
}
.panel > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child td:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child td:last-child,
.panel > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > thead:first-child > tr:first-child th:last-child,
.panel > .table:first-child > tbody:first-child > tr:first-child th:last-child,
.panel > .table-responsive:first-child > .table:first-child > tbody:first-child > tr:first-child th:last-child {
  border-top-right-radius: 1px;
}
.panel > .table:last-child,
.panel > .table-responsive:last-child > .table:last-child {
  border-bottom-right-radius: 1px;
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child {
  border-bottom-left-radius: 1px;
  border-bottom-right-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:first-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:first-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:first-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:first-child {
  border-bottom-left-radius: 1px;
}
.panel > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child td:last-child,
.panel > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tbody:last-child > tr:last-child th:last-child,
.panel > .table:last-child > tfoot:last-child > tr:last-child th:last-child,
.panel > .table-responsive:last-child > .table:last-child > tfoot:last-child > tr:last-child th:last-child {
  border-bottom-right-radius: 1px;
}
.panel > .panel-body + .table,
.panel > .panel-body + .table-responsive,
.panel > .table + .panel-body,
.panel > .table-responsive + .panel-body {
  border-top: 1px solid #ddd;
}
.panel > .table > tbody:first-child > tr:first-child th,
.panel > .table > tbody:first-child > tr:first-child td {
  border-top: 0;
}
.panel > .table-bordered,
.panel > .table-responsive > .table-bordered {
  border: 0;
}
.panel > .table-bordered > thead > tr > th:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:first-child,
.panel > .table-bordered > tbody > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:first-child,
.panel > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:first-child,
.panel > .table-bordered > thead > tr > td:first-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:first-child,
.panel > .table-bordered > tbody > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:first-child,
.panel > .table-bordered > tfoot > tr > td:first-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:first-child {
  border-left: 0;
}
.panel > .table-bordered > thead > tr > th:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > th:last-child,
.panel > .table-bordered > tbody > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > th:last-child,
.panel > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > th:last-child,
.panel > .table-bordered > thead > tr > td:last-child,
.panel > .table-responsive > .table-bordered > thead > tr > td:last-child,
.panel > .table-bordered > tbody > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tbody > tr > td:last-child,
.panel > .table-bordered > tfoot > tr > td:last-child,
.panel > .table-responsive > .table-bordered > tfoot > tr > td:last-child {
  border-right: 0;
}
.panel > .table-bordered > thead > tr:first-child > td,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > td,
.panel > .table-bordered > tbody > tr:first-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > td,
.panel > .table-bordered > thead > tr:first-child > th,
.panel > .table-responsive > .table-bordered > thead > tr:first-child > th,
.panel > .table-bordered > tbody > tr:first-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:first-child > th {
  border-bottom: 0;
}
.panel > .table-bordered > tbody > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > td,
.panel > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > td,
.panel > .table-bordered > tbody > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tbody > tr:last-child > th,
.panel > .table-bordered > tfoot > tr:last-child > th,
.panel > .table-responsive > .table-bordered > tfoot > tr:last-child > th {
  border-bottom: 0;
}
.panel > .table-responsive {
  border: 0;
  margin-bottom: 0;
}
.panel-group {
  margin-bottom: 18px;
}
.panel-group .panel {
  margin-bottom: 0;
  border-radius: 2px;
}
.panel-group .panel + .panel {
  margin-top: 5px;
}
.panel-group .panel-heading {
  border-bottom: 0;
}
.panel-group .panel-heading + .panel-collapse > .panel-body,
.panel-group .panel-heading + .panel-collapse > .list-group {
  border-top: 1px solid #ddd;
}
.panel-group .panel-footer {
  border-top: 0;
}
.panel-group .panel-footer + .panel-collapse .panel-body {
  border-bottom: 1px solid #ddd;
}
.panel-default {
  border-color: #ddd;
}
.panel-default > .panel-heading {
  color: #333333;
  background-color: #f5f5f5;
  border-color: #ddd;
}
.panel-default > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ddd;
}
.panel-default > .panel-heading .badge {
  color: #f5f5f5;
  background-color: #333333;
}
.panel-default > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ddd;
}
.panel-primary {
  border-color: #337ab7;
}
.panel-primary > .panel-heading {
  color: #fff;
  background-color: #337ab7;
  border-color: #337ab7;
}
.panel-primary > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #337ab7;
}
.panel-primary > .panel-heading .badge {
  color: #337ab7;
  background-color: #fff;
}
.panel-primary > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #337ab7;
}
.panel-success {
  border-color: #d6e9c6;
}
.panel-success > .panel-heading {
  color: #3c763d;
  background-color: #dff0d8;
  border-color: #d6e9c6;
}
.panel-success > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #d6e9c6;
}
.panel-success > .panel-heading .badge {
  color: #dff0d8;
  background-color: #3c763d;
}
.panel-success > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #d6e9c6;
}
.panel-info {
  border-color: #bce8f1;
}
.panel-info > .panel-heading {
  color: #31708f;
  background-color: #d9edf7;
  border-color: #bce8f1;
}
.panel-info > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #bce8f1;
}
.panel-info > .panel-heading .badge {
  color: #d9edf7;
  background-color: #31708f;
}
.panel-info > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #bce8f1;
}
.panel-warning {
  border-color: #faebcc;
}
.panel-warning > .panel-heading {
  color: #8a6d3b;
  background-color: #fcf8e3;
  border-color: #faebcc;
}
.panel-warning > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #faebcc;
}
.panel-warning > .panel-heading .badge {
  color: #fcf8e3;
  background-color: #8a6d3b;
}
.panel-warning > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #faebcc;
}
.panel-danger {
  border-color: #ebccd1;
}
.panel-danger > .panel-heading {
  color: #a94442;
  background-color: #f2dede;
  border-color: #ebccd1;
}
.panel-danger > .panel-heading + .panel-collapse > .panel-body {
  border-top-color: #ebccd1;
}
.panel-danger > .panel-heading .badge {
  color: #f2dede;
  background-color: #a94442;
}
.panel-danger > .panel-footer + .panel-collapse > .panel-body {
  border-bottom-color: #ebccd1;
}
.embed-responsive {
  position: relative;
  display: block;
  height: 0;
  padding: 0;
  overflow: hidden;
}
.embed-responsive .embed-responsive-item,
.embed-responsive iframe,
.embed-responsive embed,
.embed-responsive object,
.embed-responsive video {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  height: 100%;
  width: 100%;
  border: 0;
}
.embed-responsive-16by9 {
  padding-bottom: 56.25%;
}
.embed-responsive-4by3 {
  padding-bottom: 75%;
}
.well {
  min-height: 20px;
  padding: 19px;
  margin-bottom: 20px;
  background-color: #f5f5f5;
  border: 1px solid #e3e3e3;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.05);
}
.well blockquote {
  border-color: #ddd;
  border-color: rgba(0, 0, 0, 0.15);
}
.well-lg {
  padding: 24px;
  border-radius: 3px;
}
.well-sm {
  padding: 9px;
  border-radius: 1px;
}
.close {
  float: right;
  font-size: 19.5px;
  font-weight: bold;
  line-height: 1;
  color: #000;
  text-shadow: 0 1px 0 #fff;
  opacity: 0.2;
  filter: alpha(opacity=20);
}
.close:hover,
.close:focus {
  color: #000;
  text-decoration: none;
  cursor: pointer;
  opacity: 0.5;
  filter: alpha(opacity=50);
}
button.close {
  padding: 0;
  cursor: pointer;
  background: transparent;
  border: 0;
  -webkit-appearance: none;
}
.modal-open {
  overflow: hidden;
}
.modal {
  display: none;
  overflow: hidden;
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1050;
  -webkit-overflow-scrolling: touch;
  outline: 0;
}
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, -25%);
  -ms-transform: translate(0, -25%);
  -o-transform: translate(0, -25%);
  transform: translate(0, -25%);
  -webkit-transition: -webkit-transform 0.3s ease-out;
  -moz-transition: -moz-transform 0.3s ease-out;
  -o-transition: -o-transform 0.3s ease-out;
  transition: transform 0.3s ease-out;
}
.modal.in .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
.modal-open .modal {
  overflow-x: hidden;
  overflow-y: auto;
}
.modal-dialog {
  position: relative;
  width: auto;
  margin: 10px;
}
.modal-content {
  position: relative;
  background-color: #fff;
  border: 1px solid #999;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  box-shadow: 0 3px 9px rgba(0, 0, 0, 0.5);
  background-clip: padding-box;
  outline: 0;
}
.modal-backdrop {
  position: fixed;
  top: 0;
  right: 0;
  bottom: 0;
  left: 0;
  z-index: 1040;
  background-color: #000;
}
.modal-backdrop.fade {
  opacity: 0;
  filter: alpha(opacity=0);
}
.modal-backdrop.in {
  opacity: 0.5;
  filter: alpha(opacity=50);
}
.modal-header {
  padding: 15px;
  border-bottom: 1px solid #e5e5e5;
}
.modal-header .close {
  margin-top: -2px;
}
.modal-title {
  margin: 0;
  line-height: 1.42857143;
}
.modal-body {
  position: relative;
  padding: 15px;
}
.modal-footer {
  padding: 15px;
  text-align: right;
  border-top: 1px solid #e5e5e5;
}
.modal-footer .btn + .btn {
  margin-left: 5px;
  margin-bottom: 0;
}
.modal-footer .btn-group .btn + .btn {
  margin-left: -1px;
}
.modal-footer .btn-block + .btn-block {
  margin-left: 0;
}
.modal-scrollbar-measure {
  position: absolute;
  top: -9999px;
  width: 50px;
  height: 50px;
  overflow: scroll;
}
@media (min-width: 768px) {
  .modal-dialog {
    width: 600px;
    margin: 30px auto;
  }
  .modal-content {
    -webkit-box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
    box-shadow: 0 5px 15px rgba(0, 0, 0, 0.5);
  }
  .modal-sm {
    width: 300px;
  }
}
@media (min-width: 992px) {
  .modal-lg {
    width: 900px;
  }
}
.tooltip {
  position: absolute;
  z-index: 1070;
  display: block;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 12px;
  opacity: 0;
  filter: alpha(opacity=0);
}
.tooltip.in {
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.tooltip.top {
  margin-top: -3px;
  padding: 5px 0;
}
.tooltip.right {
  margin-left: 3px;
  padding: 0 5px;
}
.tooltip.bottom {
  margin-top: 3px;
  padding: 5px 0;
}
.tooltip.left {
  margin-left: -3px;
  padding: 0 5px;
}
.tooltip-inner {
  max-width: 200px;
  padding: 3px 8px;
  color: #fff;
  text-align: center;
  background-color: #000;
  border-radius: 2px;
}
.tooltip-arrow {
  position: absolute;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.tooltip.top .tooltip-arrow {
  bottom: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-left .tooltip-arrow {
  bottom: 0;
  right: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.top-right .tooltip-arrow {
  bottom: 0;
  left: 5px;
  margin-bottom: -5px;
  border-width: 5px 5px 0;
  border-top-color: #000;
}
.tooltip.right .tooltip-arrow {
  top: 50%;
  left: 0;
  margin-top: -5px;
  border-width: 5px 5px 5px 0;
  border-right-color: #000;
}
.tooltip.left .tooltip-arrow {
  top: 50%;
  right: 0;
  margin-top: -5px;
  border-width: 5px 0 5px 5px;
  border-left-color: #000;
}
.tooltip.bottom .tooltip-arrow {
  top: 0;
  left: 50%;
  margin-left: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-left .tooltip-arrow {
  top: 0;
  right: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.tooltip.bottom-right .tooltip-arrow {
  top: 0;
  left: 5px;
  margin-top: -5px;
  border-width: 0 5px 5px;
  border-bottom-color: #000;
}
.popover {
  position: absolute;
  top: 0;
  left: 0;
  z-index: 1060;
  display: none;
  max-width: 276px;
  padding: 1px;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
  font-style: normal;
  font-weight: normal;
  letter-spacing: normal;
  line-break: auto;
  line-height: 1.42857143;
  text-align: left;
  text-align: start;
  text-decoration: none;
  text-shadow: none;
  text-transform: none;
  white-space: normal;
  word-break: normal;
  word-spacing: normal;
  word-wrap: normal;
  font-size: 13px;
  background-color: #fff;
  background-clip: padding-box;
  border: 1px solid #ccc;
  border: 1px solid rgba(0, 0, 0, 0.2);
  border-radius: 3px;
  -webkit-box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
  box-shadow: 0 5px 10px rgba(0, 0, 0, 0.2);
}
.popover.top {
  margin-top: -10px;
}
.popover.right {
  margin-left: 10px;
}
.popover.bottom {
  margin-top: 10px;
}
.popover.left {
  margin-left: -10px;
}
.popover-title {
  margin: 0;
  padding: 8px 14px;
  font-size: 13px;
  background-color: #f7f7f7;
  border-bottom: 1px solid #ebebeb;
  border-radius: 2px 2px 0 0;
}
.popover-content {
  padding: 9px 14px;
}
.popover > .arrow,
.popover > .arrow:after {
  position: absolute;
  display: block;
  width: 0;
  height: 0;
  border-color: transparent;
  border-style: solid;
}
.popover > .arrow {
  border-width: 11px;
}
.popover > .arrow:after {
  border-width: 10px;
  content: "";
}
.popover.top > .arrow {
  left: 50%;
  margin-left: -11px;
  border-bottom-width: 0;
  border-top-color: #999999;
  border-top-color: rgba(0, 0, 0, 0.25);
  bottom: -11px;
}
.popover.top > .arrow:after {
  content: " ";
  bottom: 1px;
  margin-left: -10px;
  border-bottom-width: 0;
  border-top-color: #fff;
}
.popover.right > .arrow {
  top: 50%;
  left: -11px;
  margin-top: -11px;
  border-left-width: 0;
  border-right-color: #999999;
  border-right-color: rgba(0, 0, 0, 0.25);
}
.popover.right > .arrow:after {
  content: " ";
  left: 1px;
  bottom: -10px;
  border-left-width: 0;
  border-right-color: #fff;
}
.popover.bottom > .arrow {
  left: 50%;
  margin-left: -11px;
  border-top-width: 0;
  border-bottom-color: #999999;
  border-bottom-color: rgba(0, 0, 0, 0.25);
  top: -11px;
}
.popover.bottom > .arrow:after {
  content: " ";
  top: 1px;
  margin-left: -10px;
  border-top-width: 0;
  border-bottom-color: #fff;
}
.popover.left > .arrow {
  top: 50%;
  right: -11px;
  margin-top: -11px;
  border-right-width: 0;
  border-left-color: #999999;
  border-left-color: rgba(0, 0, 0, 0.25);
}
.popover.left > .arrow:after {
  content: " ";
  right: 1px;
  border-right-width: 0;
  border-left-color: #fff;
  bottom: -10px;
}
.carousel {
  position: relative;
}
.carousel-inner {
  position: relative;
  overflow: hidden;
  width: 100%;
}
.carousel-inner > .item {
  display: none;
  position: relative;
  -webkit-transition: 0.6s ease-in-out left;
  -o-transition: 0.6s ease-in-out left;
  transition: 0.6s ease-in-out left;
}
.carousel-inner > .item > img,
.carousel-inner > .item > a > img {
  line-height: 1;
}
@media all and (transform-3d), (-webkit-transform-3d) {
  .carousel-inner > .item {
    -webkit-transition: -webkit-transform 0.6s ease-in-out;
    -moz-transition: -moz-transform 0.6s ease-in-out;
    -o-transition: -o-transform 0.6s ease-in-out;
    transition: transform 0.6s ease-in-out;
    -webkit-backface-visibility: hidden;
    -moz-backface-visibility: hidden;
    backface-visibility: hidden;
    -webkit-perspective: 1000px;
    -moz-perspective: 1000px;
    perspective: 1000px;
  }
  .carousel-inner > .item.next,
  .carousel-inner > .item.active.right {
    -webkit-transform: translate3d(100%, 0, 0);
    transform: translate3d(100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.prev,
  .carousel-inner > .item.active.left {
    -webkit-transform: translate3d(-100%, 0, 0);
    transform: translate3d(-100%, 0, 0);
    left: 0;
  }
  .carousel-inner > .item.next.left,
  .carousel-inner > .item.prev.right,
  .carousel-inner > .item.active {
    -webkit-transform: translate3d(0, 0, 0);
    transform: translate3d(0, 0, 0);
    left: 0;
  }
}
.carousel-inner > .active,
.carousel-inner > .next,
.carousel-inner > .prev {
  display: block;
}
.carousel-inner > .active {
  left: 0;
}
.carousel-inner > .next,
.carousel-inner > .prev {
  position: absolute;
  top: 0;
  width: 100%;
}
.carousel-inner > .next {
  left: 100%;
}
.carousel-inner > .prev {
  left: -100%;
}
.carousel-inner > .next.left,
.carousel-inner > .prev.right {
  left: 0;
}
.carousel-inner > .active.left {
  left: -100%;
}
.carousel-inner > .active.right {
  left: 100%;
}
.carousel-control {
  position: absolute;
  top: 0;
  left: 0;
  bottom: 0;
  width: 15%;
  opacity: 0.5;
  filter: alpha(opacity=50);
  font-size: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
  background-color: rgba(0, 0, 0, 0);
}
.carousel-control.left {
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.5) 0%, rgba(0, 0, 0, 0.0001) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#80000000', endColorstr='#00000000', GradientType=1);
}
.carousel-control.right {
  left: auto;
  right: 0;
  background-image: -webkit-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: -o-linear-gradient(left, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-image: linear-gradient(to right, rgba(0, 0, 0, 0.0001) 0%, rgba(0, 0, 0, 0.5) 100%);
  background-repeat: repeat-x;
  filter: progid:DXImageTransform.Microsoft.gradient(startColorstr='#00000000', endColorstr='#80000000', GradientType=1);
}
.carousel-control:hover,
.carousel-control:focus {
  outline: 0;
  color: #fff;
  text-decoration: none;
  opacity: 0.9;
  filter: alpha(opacity=90);
}
.carousel-control .icon-prev,
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-left,
.carousel-control .glyphicon-chevron-right {
  position: absolute;
  top: 50%;
  margin-top: -10px;
  z-index: 5;
  display: inline-block;
}
.carousel-control .icon-prev,
.carousel-control .glyphicon-chevron-left {
  left: 50%;
  margin-left: -10px;
}
.carousel-control .icon-next,
.carousel-control .glyphicon-chevron-right {
  right: 50%;
  margin-right: -10px;
}
.carousel-control .icon-prev,
.carousel-control .icon-next {
  width: 20px;
  height: 20px;
  line-height: 1;
  font-family: serif;
}
.carousel-control .icon-prev:before {
  content: '\2039';
}
.carousel-control .icon-next:before {
  content: '\203a';
}
.carousel-indicators {
  position: absolute;
  bottom: 10px;
  left: 50%;
  z-index: 15;
  width: 60%;
  margin-left: -30%;
  padding-left: 0;
  list-style: none;
  text-align: center;
}
.carousel-indicators li {
  display: inline-block;
  width: 10px;
  height: 10px;
  margin: 1px;
  text-indent: -999px;
  border: 1px solid #fff;
  border-radius: 10px;
  cursor: pointer;
  background-color: #000 \9;
  background-color: rgba(0, 0, 0, 0);
}
.carousel-indicators .active {
  margin: 0;
  width: 12px;
  height: 12px;
  background-color: #fff;
}
.carousel-caption {
  position: absolute;
  left: 15%;
  right: 15%;
  bottom: 20px;
  z-index: 10;
  padding-top: 20px;
  padding-bottom: 20px;
  color: #fff;
  text-align: center;
  text-shadow: 0 1px 2px rgba(0, 0, 0, 0.6);
}
.carousel-caption .btn {
  text-shadow: none;
}
@media screen and (min-width: 768px) {
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-prev,
  .carousel-control .icon-next {
    width: 30px;
    height: 30px;
    margin-top: -10px;
    font-size: 30px;
  }
  .carousel-control .glyphicon-chevron-left,
  .carousel-control .icon-prev {
    margin-left: -10px;
  }
  .carousel-control .glyphicon-chevron-right,
  .carousel-control .icon-next {
    margin-right: -10px;
  }
  .carousel-caption {
    left: 20%;
    right: 20%;
    padding-bottom: 30px;
  }
  .carousel-indicators {
    bottom: 20px;
  }
}
.clearfix:before,
.clearfix:after,
.dl-horizontal dd:before,
.dl-horizontal dd:after,
.container:before,
.container:after,
.container-fluid:before,
.container-fluid:after,
.row:before,
.row:after,
.form-horizontal .form-group:before,
.form-horizontal .form-group:after,
.btn-toolbar:before,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:before,
.btn-group-vertical > .btn-group:after,
.nav:before,
.nav:after,
.navbar:before,
.navbar:after,
.navbar-header:before,
.navbar-header:after,
.navbar-collapse:before,
.navbar-collapse:after,
.pager:before,
.pager:after,
.panel-body:before,
.panel-body:after,
.modal-header:before,
.modal-header:after,
.modal-footer:before,
.modal-footer:after,
.item_buttons:before,
.item_buttons:after {
  content: " ";
  display: table;
}
.clearfix:after,
.dl-horizontal dd:after,
.container:after,
.container-fluid:after,
.row:after,
.form-horizontal .form-group:after,
.btn-toolbar:after,
.btn-group-vertical > .btn-group:after,
.nav:after,
.navbar:after,
.navbar-header:after,
.navbar-collapse:after,
.pager:after,
.panel-body:after,
.modal-header:after,
.modal-footer:after,
.item_buttons:after {
  clear: both;
}
.center-block {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.pull-right {
  float: right !important;
}
.pull-left {
  float: left !important;
}
.hide {
  display: none !important;
}
.show {
  display: block !important;
}
.invisible {
  visibility: hidden;
}
.text-hide {
  font: 0/0 a;
  color: transparent;
  text-shadow: none;
  background-color: transparent;
  border: 0;
}
.hidden {
  display: none !important;
}
.affix {
  position: fixed;
}
@-ms-viewport {
  width: device-width;
}
.visible-xs,
.visible-sm,
.visible-md,
.visible-lg {
  display: none !important;
}
.visible-xs-block,
.visible-xs-inline,
.visible-xs-inline-block,
.visible-sm-block,
.visible-sm-inline,
.visible-sm-inline-block,
.visible-md-block,
.visible-md-inline,
.visible-md-inline-block,
.visible-lg-block,
.visible-lg-inline,
.visible-lg-inline-block {
  display: none !important;
}
@media (max-width: 767px) {
  .visible-xs {
    display: block !important;
  }
  table.visible-xs {
    display: table !important;
  }
  tr.visible-xs {
    display: table-row !important;
  }
  th.visible-xs,
  td.visible-xs {
    display: table-cell !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-block {
    display: block !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline {
    display: inline !important;
  }
}
@media (max-width: 767px) {
  .visible-xs-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm {
    display: block !important;
  }
  table.visible-sm {
    display: table !important;
  }
  tr.visible-sm {
    display: table-row !important;
  }
  th.visible-sm,
  td.visible-sm {
    display: table-cell !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-block {
    display: block !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline {
    display: inline !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .visible-sm-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md {
    display: block !important;
  }
  table.visible-md {
    display: table !important;
  }
  tr.visible-md {
    display: table-row !important;
  }
  th.visible-md,
  td.visible-md {
    display: table-cell !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-block {
    display: block !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline {
    display: inline !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .visible-md-inline-block {
    display: inline-block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg {
    display: block !important;
  }
  table.visible-lg {
    display: table !important;
  }
  tr.visible-lg {
    display: table-row !important;
  }
  th.visible-lg,
  td.visible-lg {
    display: table-cell !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-block {
    display: block !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline {
    display: inline !important;
  }
}
@media (min-width: 1200px) {
  .visible-lg-inline-block {
    display: inline-block !important;
  }
}
@media (max-width: 767px) {
  .hidden-xs {
    display: none !important;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  .hidden-sm {
    display: none !important;
  }
}
@media (min-width: 992px) and (max-width: 1199px) {
  .hidden-md {
    display: none !important;
  }
}
@media (min-width: 1200px) {
  .hidden-lg {
    display: none !important;
  }
}
.visible-print {
  display: none !important;
}
@media print {
  .visible-print {
    display: block !important;
  }
  table.visible-print {
    display: table !important;
  }
  tr.visible-print {
    display: table-row !important;
  }
  th.visible-print,
  td.visible-print {
    display: table-cell !important;
  }
}
.visible-print-block {
  display: none !important;
}
@media print {
  .visible-print-block {
    display: block !important;
  }
}
.visible-print-inline {
  display: none !important;
}
@media print {
  .visible-print-inline {
    display: inline !important;
  }
}
.visible-print-inline-block {
  display: none !important;
}
@media print {
  .visible-print-inline-block {
    display: inline-block !important;
  }
}
@media print {
  .hidden-print {
    display: none !important;
  }
}
/*!
*
* Font Awesome
*
*/
/*!
 *  Font Awesome 4.2.0 by @davegandy - http://fontawesome.io - @fontawesome
 *  License - http://fontawesome.io/license (Font: SIL OFL 1.1, CSS: MIT License)
 */
/* FONT PATH
 * -------------------------- */
@font-face {
  font-family: 'FontAwesome';
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?v=4.2.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.2.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.2.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.2.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.2.0#fontawesomeregular') format('svg');
  font-weight: normal;
  font-style: normal;
}
.fa {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
}
/* makes the font 33% larger relative to the icon container */
.fa-lg {
  font-size: 1.33333333em;
  line-height: 0.75em;
  vertical-align: -15%;
}
.fa-2x {
  font-size: 2em;
}
.fa-3x {
  font-size: 3em;
}
.fa-4x {
  font-size: 4em;
}
.fa-5x {
  font-size: 5em;
}
.fa-fw {
  width: 1.28571429em;
  text-align: center;
}
.fa-ul {
  padding-left: 0;
  margin-left: 2.14285714em;
  list-style-type: none;
}
.fa-ul > li {
  position: relative;
}
.fa-li {
  position: absolute;
  left: -2.14285714em;
  width: 2.14285714em;
  top: 0.14285714em;
  text-align: center;
}
.fa-li.fa-lg {
  left: -1.85714286em;
}
.fa-border {
  padding: .2em .25em .15em;
  border: solid 0.08em #eee;
  border-radius: .1em;
}
.pull-right {
  float: right;
}
.pull-left {
  float: left;
}
.fa.pull-left {
  margin-right: .3em;
}
.fa.pull-right {
  margin-left: .3em;
}
.fa-spin {
  -webkit-animation: fa-spin 2s infinite linear;
  animation: fa-spin 2s infinite linear;
}
@-webkit-keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
@keyframes fa-spin {
  0% {
    -webkit-transform: rotate(0deg);
    transform: rotate(0deg);
  }
  100% {
    -webkit-transform: rotate(359deg);
    transform: rotate(359deg);
  }
}
.fa-rotate-90 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=1);
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2);
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=3);
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=0, mirror=1);
  -webkit-transform: scale(-1, 1);
  -ms-transform: scale(-1, 1);
  transform: scale(-1, 1);
}
.fa-flip-vertical {
  filter: progid:DXImageTransform.Microsoft.BasicImage(rotation=2, mirror=1);
  -webkit-transform: scale(1, -1);
  -ms-transform: scale(1, -1);
  transform: scale(1, -1);
}
:root .fa-rotate-90,
:root .fa-rotate-180,
:root .fa-rotate-270,
:root .fa-flip-horizontal,
:root .fa-flip-vertical {
  filter: none;
}
.fa-stack {
  position: relative;
  display: inline-block;
  width: 2em;
  height: 2em;
  line-height: 2em;
  vertical-align: middle;
}
.fa-stack-1x,
.fa-stack-2x {
  position: absolute;
  left: 0;
  width: 100%;
  text-align: center;
}
.fa-stack-1x {
  line-height: inherit;
}
.fa-stack-2x {
  font-size: 2em;
}
.fa-inverse {
  color: #fff;
}
/* Font Awesome uses the Unicode Private Use Area (PUA) to ensure screen
   readers do not read off random characters that represent icons */
.fa-glass:before {
  content: "\f000";
}
.fa-music:before {
  content: "\f001";
}
.fa-search:before {
  content: "\f002";
}
.fa-envelope-o:before {
  content: "\f003";
}
.fa-heart:before {
  content: "\f004";
}
.fa-star:before {
  content: "\f005";
}
.fa-star-o:before {
  content: "\f006";
}
.fa-user:before {
  content: "\f007";
}
.fa-film:before {
  content: "\f008";
}
.fa-th-large:before {
  content: "\f009";
}
.fa-th:before {
  content: "\f00a";
}
.fa-th-list:before {
  content: "\f00b";
}
.fa-check:before {
  content: "\f00c";
}
.fa-remove:before,
.fa-close:before,
.fa-times:before {
  content: "\f00d";
}
.fa-search-plus:before {
  content: "\f00e";
}
.fa-search-minus:before {
  content: "\f010";
}
.fa-power-off:before {
  content: "\f011";
}
.fa-signal:before {
  content: "\f012";
}
.fa-gear:before,
.fa-cog:before {
  content: "\f013";
}
.fa-trash-o:before {
  content: "\f014";
}
.fa-home:before {
  content: "\f015";
}
.fa-file-o:before {
  content: "\f016";
}
.fa-clock-o:before {
  content: "\f017";
}
.fa-road:before {
  content: "\f018";
}
.fa-download:before {
  content: "\f019";
}
.fa-arrow-circle-o-down:before {
  content: "\f01a";
}
.fa-arrow-circle-o-up:before {
  content: "\f01b";
}
.fa-inbox:before {
  content: "\f01c";
}
.fa-play-circle-o:before {
  content: "\f01d";
}
.fa-rotate-right:before,
.fa-repeat:before {
  content: "\f01e";
}
.fa-refresh:before {
  content: "\f021";
}
.fa-list-alt:before {
  content: "\f022";
}
.fa-lock:before {
  content: "\f023";
}
.fa-flag:before {
  content: "\f024";
}
.fa-headphones:before {
  content: "\f025";
}
.fa-volume-off:before {
  content: "\f026";
}
.fa-volume-down:before {
  content: "\f027";
}
.fa-volume-up:before {
  content: "\f028";
}
.fa-qrcode:before {
  content: "\f029";
}
.fa-barcode:before {
  content: "\f02a";
}
.fa-tag:before {
  content: "\f02b";
}
.fa-tags:before {
  content: "\f02c";
}
.fa-book:before {
  content: "\f02d";
}
.fa-bookmark:before {
  content: "\f02e";
}
.fa-print:before {
  content: "\f02f";
}
.fa-camera:before {
  content: "\f030";
}
.fa-font:before {
  content: "\f031";
}
.fa-bold:before {
  content: "\f032";
}
.fa-italic:before {
  content: "\f033";
}
.fa-text-height:before {
  content: "\f034";
}
.fa-text-width:before {
  content: "\f035";
}
.fa-align-left:before {
  content: "\f036";
}
.fa-align-center:before {
  content: "\f037";
}
.fa-align-right:before {
  content: "\f038";
}
.fa-align-justify:before {
  content: "\f039";
}
.fa-list:before {
  content: "\f03a";
}
.fa-dedent:before,
.fa-outdent:before {
  content: "\f03b";
}
.fa-indent:before {
  content: "\f03c";
}
.fa-video-camera:before {
  content: "\f03d";
}
.fa-photo:before,
.fa-image:before,
.fa-picture-o:before {
  content: "\f03e";
}
.fa-pencil:before {
  content: "\f040";
}
.fa-map-marker:before {
  content: "\f041";
}
.fa-adjust:before {
  content: "\f042";
}
.fa-tint:before {
  content: "\f043";
}
.fa-edit:before,
.fa-pencil-square-o:before {
  content: "\f044";
}
.fa-share-square-o:before {
  content: "\f045";
}
.fa-check-square-o:before {
  content: "\f046";
}
.fa-arrows:before {
  content: "\f047";
}
.fa-step-backward:before {
  content: "\f048";
}
.fa-fast-backward:before {
  content: "\f049";
}
.fa-backward:before {
  content: "\f04a";
}
.fa-play:before {
  content: "\f04b";
}
.fa-pause:before {
  content: "\f04c";
}
.fa-stop:before {
  content: "\f04d";
}
.fa-forward:before {
  content: "\f04e";
}
.fa-fast-forward:before {
  content: "\f050";
}
.fa-step-forward:before {
  content: "\f051";
}
.fa-eject:before {
  content: "\f052";
}
.fa-chevron-left:before {
  content: "\f053";
}
.fa-chevron-right:before {
  content: "\f054";
}
.fa-plus-circle:before {
  content: "\f055";
}
.fa-minus-circle:before {
  content: "\f056";
}
.fa-times-circle:before {
  content: "\f057";
}
.fa-check-circle:before {
  content: "\f058";
}
.fa-question-circle:before {
  content: "\f059";
}
.fa-info-circle:before {
  content: "\f05a";
}
.fa-crosshairs:before {
  content: "\f05b";
}
.fa-times-circle-o:before {
  content: "\f05c";
}
.fa-check-circle-o:before {
  content: "\f05d";
}
.fa-ban:before {
  content: "\f05e";
}
.fa-arrow-left:before {
  content: "\f060";
}
.fa-arrow-right:before {
  content: "\f061";
}
.fa-arrow-up:before {
  content: "\f062";
}
.fa-arrow-down:before {
  content: "\f063";
}
.fa-mail-forward:before,
.fa-share:before {
  content: "\f064";
}
.fa-expand:before {
  content: "\f065";
}
.fa-compress:before {
  content: "\f066";
}
.fa-plus:before {
  content: "\f067";
}
.fa-minus:before {
  content: "\f068";
}
.fa-asterisk:before {
  content: "\f069";
}
.fa-exclamation-circle:before {
  content: "\f06a";
}
.fa-gift:before {
  content: "\f06b";
}
.fa-leaf:before {
  content: "\f06c";
}
.fa-fire:before {
  content: "\f06d";
}
.fa-eye:before {
  content: "\f06e";
}
.fa-eye-slash:before {
  content: "\f070";
}
.fa-warning:before,
.fa-exclamation-triangle:before {
  content: "\f071";
}
.fa-plane:before {
  content: "\f072";
}
.fa-calendar:before {
  content: "\f073";
}
.fa-random:before {
  content: "\f074";
}
.fa-comment:before {
  content: "\f075";
}
.fa-magnet:before {
  content: "\f076";
}
.fa-chevron-up:before {
  content: "\f077";
}
.fa-chevron-down:before {
  content: "\f078";
}
.fa-retweet:before {
  content: "\f079";
}
.fa-shopping-cart:before {
  content: "\f07a";
}
.fa-folder:before {
  content: "\f07b";
}
.fa-folder-open:before {
  content: "\f07c";
}
.fa-arrows-v:before {
  content: "\f07d";
}
.fa-arrows-h:before {
  content: "\f07e";
}
.fa-bar-chart-o:before,
.fa-bar-chart:before {
  content: "\f080";
}
.fa-twitter-square:before {
  content: "\f081";
}
.fa-facebook-square:before {
  content: "\f082";
}
.fa-camera-retro:before {
  content: "\f083";
}
.fa-key:before {
  content: "\f084";
}
.fa-gears:before,
.fa-cogs:before {
  content: "\f085";
}
.fa-comments:before {
  content: "\f086";
}
.fa-thumbs-o-up:before {
  content: "\f087";
}
.fa-thumbs-o-down:before {
  content: "\f088";
}
.fa-star-half:before {
  content: "\f089";
}
.fa-heart-o:before {
  content: "\f08a";
}
.fa-sign-out:before {
  content: "\f08b";
}
.fa-linkedin-square:before {
  content: "\f08c";
}
.fa-thumb-tack:before {
  content: "\f08d";
}
.fa-external-link:before {
  content: "\f08e";
}
.fa-sign-in:before {
  content: "\f090";
}
.fa-trophy:before {
  content: "\f091";
}
.fa-github-square:before {
  content: "\f092";
}
.fa-upload:before {
  content: "\f093";
}
.fa-lemon-o:before {
  content: "\f094";
}
.fa-phone:before {
  content: "\f095";
}
.fa-square-o:before {
  content: "\f096";
}
.fa-bookmark-o:before {
  content: "\f097";
}
.fa-phone-square:before {
  content: "\f098";
}
.fa-twitter:before {
  content: "\f099";
}
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-rss:before {
  content: "\f09e";
}
.fa-hdd-o:before {
  content: "\f0a0";
}
.fa-bullhorn:before {
  content: "\f0a1";
}
.fa-bell:before {
  content: "\f0f3";
}
.fa-certificate:before {
  content: "\f0a3";
}
.fa-hand-o-right:before {
  content: "\f0a4";
}
.fa-hand-o-left:before {
  content: "\f0a5";
}
.fa-hand-o-up:before {
  content: "\f0a6";
}
.fa-hand-o-down:before {
  content: "\f0a7";
}
.fa-arrow-circle-left:before {
  content: "\f0a8";
}
.fa-arrow-circle-right:before {
  content: "\f0a9";
}
.fa-arrow-circle-up:before {
  content: "\f0aa";
}
.fa-arrow-circle-down:before {
  content: "\f0ab";
}
.fa-globe:before {
  content: "\f0ac";
}
.fa-wrench:before {
  content: "\f0ad";
}
.fa-tasks:before {
  content: "\f0ae";
}
.fa-filter:before {
  content: "\f0b0";
}
.fa-briefcase:before {
  content: "\f0b1";
}
.fa-arrows-alt:before {
  content: "\f0b2";
}
.fa-group:before,
.fa-users:before {
  content: "\f0c0";
}
.fa-chain:before,
.fa-link:before {
  content: "\f0c1";
}
.fa-cloud:before {
  content: "\f0c2";
}
.fa-flask:before {
  content: "\f0c3";
}
.fa-cut:before,
.fa-scissors:before {
  content: "\f0c4";
}
.fa-copy:before,
.fa-files-o:before {
  content: "\f0c5";
}
.fa-paperclip:before {
  content: "\f0c6";
}
.fa-save:before,
.fa-floppy-o:before {
  content: "\f0c7";
}
.fa-square:before {
  content: "\f0c8";
}
.fa-navicon:before,
.fa-reorder:before,
.fa-bars:before {
  content: "\f0c9";
}
.fa-list-ul:before {
  content: "\f0ca";
}
.fa-list-ol:before {
  content: "\f0cb";
}
.fa-strikethrough:before {
  content: "\f0cc";
}
.fa-underline:before {
  content: "\f0cd";
}
.fa-table:before {
  content: "\f0ce";
}
.fa-magic:before {
  content: "\f0d0";
}
.fa-truck:before {
  content: "\f0d1";
}
.fa-pinterest:before {
  content: "\f0d2";
}
.fa-pinterest-square:before {
  content: "\f0d3";
}
.fa-google-plus-square:before {
  content: "\f0d4";
}
.fa-google-plus:before {
  content: "\f0d5";
}
.fa-money:before {
  content: "\f0d6";
}
.fa-caret-down:before {
  content: "\f0d7";
}
.fa-caret-up:before {
  content: "\f0d8";
}
.fa-caret-left:before {
  content: "\f0d9";
}
.fa-caret-right:before {
  content: "\f0da";
}
.fa-columns:before {
  content: "\f0db";
}
.fa-unsorted:before,
.fa-sort:before {
  content: "\f0dc";
}
.fa-sort-down:before,
.fa-sort-desc:before {
  content: "\f0dd";
}
.fa-sort-up:before,
.fa-sort-asc:before {
  content: "\f0de";
}
.fa-envelope:before {
  content: "\f0e0";
}
.fa-linkedin:before {
  content: "\f0e1";
}
.fa-rotate-left:before,
.fa-undo:before {
  content: "\f0e2";
}
.fa-legal:before,
.fa-gavel:before {
  content: "\f0e3";
}
.fa-dashboard:before,
.fa-tachometer:before {
  content: "\f0e4";
}
.fa-comment-o:before {
  content: "\f0e5";
}
.fa-comments-o:before {
  content: "\f0e6";
}
.fa-flash:before,
.fa-bolt:before {
  content: "\f0e7";
}
.fa-sitemap:before {
  content: "\f0e8";
}
.fa-umbrella:before {
  content: "\f0e9";
}
.fa-paste:before,
.fa-clipboard:before {
  content: "\f0ea";
}
.fa-lightbulb-o:before {
  content: "\f0eb";
}
.fa-exchange:before {
  content: "\f0ec";
}
.fa-cloud-download:before {
  content: "\f0ed";
}
.fa-cloud-upload:before {
  content: "\f0ee";
}
.fa-user-md:before {
  content: "\f0f0";
}
.fa-stethoscope:before {
  content: "\f0f1";
}
.fa-suitcase:before {
  content: "\f0f2";
}
.fa-bell-o:before {
  content: "\f0a2";
}
.fa-coffee:before {
  content: "\f0f4";
}
.fa-cutlery:before {
  content: "\f0f5";
}
.fa-file-text-o:before {
  content: "\f0f6";
}
.fa-building-o:before {
  content: "\f0f7";
}
.fa-hospital-o:before {
  content: "\f0f8";
}
.fa-ambulance:before {
  content: "\f0f9";
}
.fa-medkit:before {
  content: "\f0fa";
}
.fa-fighter-jet:before {
  content: "\f0fb";
}
.fa-beer:before {
  content: "\f0fc";
}
.fa-h-square:before {
  content: "\f0fd";
}
.fa-plus-square:before {
  content: "\f0fe";
}
.fa-angle-double-left:before {
  content: "\f100";
}
.fa-angle-double-right:before {
  content: "\f101";
}
.fa-angle-double-up:before {
  content: "\f102";
}
.fa-angle-double-down:before {
  content: "\f103";
}
.fa-angle-left:before {
  content: "\f104";
}
.fa-angle-right:before {
  content: "\f105";
}
.fa-angle-up:before {
  content: "\f106";
}
.fa-angle-down:before {
  content: "\f107";
}
.fa-desktop:before {
  content: "\f108";
}
.fa-laptop:before {
  content: "\f109";
}
.fa-tablet:before {
  content: "\f10a";
}
.fa-mobile-phone:before,
.fa-mobile:before {
  content: "\f10b";
}
.fa-circle-o:before {
  content: "\f10c";
}
.fa-quote-left:before {
  content: "\f10d";
}
.fa-quote-right:before {
  content: "\f10e";
}
.fa-spinner:before {
  content: "\f110";
}
.fa-circle:before {
  content: "\f111";
}
.fa-mail-reply:before,
.fa-reply:before {
  content: "\f112";
}
.fa-github-alt:before {
  content: "\f113";
}
.fa-folder-o:before {
  content: "\f114";
}
.fa-folder-open-o:before {
  content: "\f115";
}
.fa-smile-o:before {
  content: "\f118";
}
.fa-frown-o:before {
  content: "\f119";
}
.fa-meh-o:before {
  content: "\f11a";
}
.fa-gamepad:before {
  content: "\f11b";
}
.fa-keyboard-o:before {
  content: "\f11c";
}
.fa-flag-o:before {
  content: "\f11d";
}
.fa-flag-checkered:before {
  content: "\f11e";
}
.fa-terminal:before {
  content: "\f120";
}
.fa-code:before {
  content: "\f121";
}
.fa-mail-reply-all:before,
.fa-reply-all:before {
  content: "\f122";
}
.fa-star-half-empty:before,
.fa-star-half-full:before,
.fa-star-half-o:before {
  content: "\f123";
}
.fa-location-arrow:before {
  content: "\f124";
}
.fa-crop:before {
  content: "\f125";
}
.fa-code-fork:before {
  content: "\f126";
}
.fa-unlink:before,
.fa-chain-broken:before {
  content: "\f127";
}
.fa-question:before {
  content: "\f128";
}
.fa-info:before {
  content: "\f129";
}
.fa-exclamation:before {
  content: "\f12a";
}
.fa-superscript:before {
  content: "\f12b";
}
.fa-subscript:before {
  content: "\f12c";
}
.fa-eraser:before {
  content: "\f12d";
}
.fa-puzzle-piece:before {
  content: "\f12e";
}
.fa-microphone:before {
  content: "\f130";
}
.fa-microphone-slash:before {
  content: "\f131";
}
.fa-shield:before {
  content: "\f132";
}
.fa-calendar-o:before {
  content: "\f133";
}
.fa-fire-extinguisher:before {
  content: "\f134";
}
.fa-rocket:before {
  content: "\f135";
}
.fa-maxcdn:before {
  content: "\f136";
}
.fa-chevron-circle-left:before {
  content: "\f137";
}
.fa-chevron-circle-right:before {
  content: "\f138";
}
.fa-chevron-circle-up:before {
  content: "\f139";
}
.fa-chevron-circle-down:before {
  content: "\f13a";
}
.fa-html5:before {
  content: "\f13b";
}
.fa-css3:before {
  content: "\f13c";
}
.fa-anchor:before {
  content: "\f13d";
}
.fa-unlock-alt:before {
  content: "\f13e";
}
.fa-bullseye:before {
  content: "\f140";
}
.fa-ellipsis-h:before {
  content: "\f141";
}
.fa-ellipsis-v:before {
  content: "\f142";
}
.fa-rss-square:before {
  content: "\f143";
}
.fa-play-circle:before {
  content: "\f144";
}
.fa-ticket:before {
  content: "\f145";
}
.fa-minus-square:before {
  content: "\f146";
}
.fa-minus-square-o:before {
  content: "\f147";
}
.fa-level-up:before {
  content: "\f148";
}
.fa-level-down:before {
  content: "\f149";
}
.fa-check-square:before {
  content: "\f14a";
}
.fa-pencil-square:before {
  content: "\f14b";
}
.fa-external-link-square:before {
  content: "\f14c";
}
.fa-share-square:before {
  content: "\f14d";
}
.fa-compass:before {
  content: "\f14e";
}
.fa-toggle-down:before,
.fa-caret-square-o-down:before {
  content: "\f150";
}
.fa-toggle-up:before,
.fa-caret-square-o-up:before {
  content: "\f151";
}
.fa-toggle-right:before,
.fa-caret-square-o-right:before {
  content: "\f152";
}
.fa-euro:before,
.fa-eur:before {
  content: "\f153";
}
.fa-gbp:before {
  content: "\f154";
}
.fa-dollar:before,
.fa-usd:before {
  content: "\f155";
}
.fa-rupee:before,
.fa-inr:before {
  content: "\f156";
}
.fa-cny:before,
.fa-rmb:before,
.fa-yen:before,
.fa-jpy:before {
  content: "\f157";
}
.fa-ruble:before,
.fa-rouble:before,
.fa-rub:before {
  content: "\f158";
}
.fa-won:before,
.fa-krw:before {
  content: "\f159";
}
.fa-bitcoin:before,
.fa-btc:before {
  content: "\f15a";
}
.fa-file:before {
  content: "\f15b";
}
.fa-file-text:before {
  content: "\f15c";
}
.fa-sort-alpha-asc:before {
  content: "\f15d";
}
.fa-sort-alpha-desc:before {
  content: "\f15e";
}
.fa-sort-amount-asc:before {
  content: "\f160";
}
.fa-sort-amount-desc:before {
  content: "\f161";
}
.fa-sort-numeric-asc:before {
  content: "\f162";
}
.fa-sort-numeric-desc:before {
  content: "\f163";
}
.fa-thumbs-up:before {
  content: "\f164";
}
.fa-thumbs-down:before {
  content: "\f165";
}
.fa-youtube-square:before {
  content: "\f166";
}
.fa-youtube:before {
  content: "\f167";
}
.fa-xing:before {
  content: "\f168";
}
.fa-xing-square:before {
  content: "\f169";
}
.fa-youtube-play:before {
  content: "\f16a";
}
.fa-dropbox:before {
  content: "\f16b";
}
.fa-stack-overflow:before {
  content: "\f16c";
}
.fa-instagram:before {
  content: "\f16d";
}
.fa-flickr:before {
  content: "\f16e";
}
.fa-adn:before {
  content: "\f170";
}
.fa-bitbucket:before {
  content: "\f171";
}
.fa-bitbucket-square:before {
  content: "\f172";
}
.fa-tumblr:before {
  content: "\f173";
}
.fa-tumblr-square:before {
  content: "\f174";
}
.fa-long-arrow-down:before {
  content: "\f175";
}
.fa-long-arrow-up:before {
  content: "\f176";
}
.fa-long-arrow-left:before {
  content: "\f177";
}
.fa-long-arrow-right:before {
  content: "\f178";
}
.fa-apple:before {
  content: "\f179";
}
.fa-windows:before {
  content: "\f17a";
}
.fa-android:before {
  content: "\f17b";
}
.fa-linux:before {
  content: "\f17c";
}
.fa-dribbble:before {
  content: "\f17d";
}
.fa-skype:before {
  content: "\f17e";
}
.fa-foursquare:before {
  content: "\f180";
}
.fa-trello:before {
  content: "\f181";
}
.fa-female:before {
  content: "\f182";
}
.fa-male:before {
  content: "\f183";
}
.fa-gittip:before {
  content: "\f184";
}
.fa-sun-o:before {
  content: "\f185";
}
.fa-moon-o:before {
  content: "\f186";
}
.fa-archive:before {
  content: "\f187";
}
.fa-bug:before {
  content: "\f188";
}
.fa-vk:before {
  content: "\f189";
}
.fa-weibo:before {
  content: "\f18a";
}
.fa-renren:before {
  content: "\f18b";
}
.fa-pagelines:before {
  content: "\f18c";
}
.fa-stack-exchange:before {
  content: "\f18d";
}
.fa-arrow-circle-o-right:before {
  content: "\f18e";
}
.fa-arrow-circle-o-left:before {
  content: "\f190";
}
.fa-toggle-left:before,
.fa-caret-square-o-left:before {
  content: "\f191";
}
.fa-dot-circle-o:before {
  content: "\f192";
}
.fa-wheelchair:before {
  content: "\f193";
}
.fa-vimeo-square:before {
  content: "\f194";
}
.fa-turkish-lira:before,
.fa-try:before {
  content: "\f195";
}
.fa-plus-square-o:before {
  content: "\f196";
}
.fa-space-shuttle:before {
  content: "\f197";
}
.fa-slack:before {
  content: "\f198";
}
.fa-envelope-square:before {
  content: "\f199";
}
.fa-wordpress:before {
  content: "\f19a";
}
.fa-openid:before {
  content: "\f19b";
}
.fa-institution:before,
.fa-bank:before,
.fa-university:before {
  content: "\f19c";
}
.fa-mortar-board:before,
.fa-graduation-cap:before {
  content: "\f19d";
}
.fa-yahoo:before {
  content: "\f19e";
}
.fa-google:before {
  content: "\f1a0";
}
.fa-reddit:before {
  content: "\f1a1";
}
.fa-reddit-square:before {
  content: "\f1a2";
}
.fa-stumbleupon-circle:before {
  content: "\f1a3";
}
.fa-stumbleupon:before {
  content: "\f1a4";
}
.fa-delicious:before {
  content: "\f1a5";
}
.fa-digg:before {
  content: "\f1a6";
}
.fa-pied-piper:before {
  content: "\f1a7";
}
.fa-pied-piper-alt:before {
  content: "\f1a8";
}
.fa-drupal:before {
  content: "\f1a9";
}
.fa-joomla:before {
  content: "\f1aa";
}
.fa-language:before {
  content: "\f1ab";
}
.fa-fax:before {
  content: "\f1ac";
}
.fa-building:before {
  content: "\f1ad";
}
.fa-child:before {
  content: "\f1ae";
}
.fa-paw:before {
  content: "\f1b0";
}
.fa-spoon:before {
  content: "\f1b1";
}
.fa-cube:before {
  content: "\f1b2";
}
.fa-cubes:before {
  content: "\f1b3";
}
.fa-behance:before {
  content: "\f1b4";
}
.fa-behance-square:before {
  content: "\f1b5";
}
.fa-steam:before {
  content: "\f1b6";
}
.fa-steam-square:before {
  content: "\f1b7";
}
.fa-recycle:before {
  content: "\f1b8";
}
.fa-automobile:before,
.fa-car:before {
  content: "\f1b9";
}
.fa-cab:before,
.fa-taxi:before {
  content: "\f1ba";
}
.fa-tree:before {
  content: "\f1bb";
}
.fa-spotify:before {
  content: "\f1bc";
}
.fa-deviantart:before {
  content: "\f1bd";
}
.fa-soundcloud:before {
  content: "\f1be";
}
.fa-database:before {
  content: "\f1c0";
}
.fa-file-pdf-o:before {
  content: "\f1c1";
}
.fa-file-word-o:before {
  content: "\f1c2";
}
.fa-file-excel-o:before {
  content: "\f1c3";
}
.fa-file-powerpoint-o:before {
  content: "\f1c4";
}
.fa-file-photo-o:before,
.fa-file-picture-o:before,
.fa-file-image-o:before {
  content: "\f1c5";
}
.fa-file-zip-o:before,
.fa-file-archive-o:before {
  content: "\f1c6";
}
.fa-file-sound-o:before,
.fa-file-audio-o:before {
  content: "\f1c7";
}
.fa-file-movie-o:before,
.fa-file-video-o:before {
  content: "\f1c8";
}
.fa-file-code-o:before {
  content: "\f1c9";
}
.fa-vine:before {
  content: "\f1ca";
}
.fa-codepen:before {
  content: "\f1cb";
}
.fa-jsfiddle:before {
  content: "\f1cc";
}
.fa-life-bouy:before,
.fa-life-buoy:before,
.fa-life-saver:before,
.fa-support:before,
.fa-life-ring:before {
  content: "\f1cd";
}
.fa-circle-o-notch:before {
  content: "\f1ce";
}
.fa-ra:before,
.fa-rebel:before {
  content: "\f1d0";
}
.fa-ge:before,
.fa-empire:before {
  content: "\f1d1";
}
.fa-git-square:before {
  content: "\f1d2";
}
.fa-git:before {
  content: "\f1d3";
}
.fa-hacker-news:before {
  content: "\f1d4";
}
.fa-tencent-weibo:before {
  content: "\f1d5";
}
.fa-qq:before {
  content: "\f1d6";
}
.fa-wechat:before,
.fa-weixin:before {
  content: "\f1d7";
}
.fa-send:before,
.fa-paper-plane:before {
  content: "\f1d8";
}
.fa-send-o:before,
.fa-paper-plane-o:before {
  content: "\f1d9";
}
.fa-history:before {
  content: "\f1da";
}
.fa-circle-thin:before {
  content: "\f1db";
}
.fa-header:before {
  content: "\f1dc";
}
.fa-paragraph:before {
  content: "\f1dd";
}
.fa-sliders:before {
  content: "\f1de";
}
.fa-share-alt:before {
  content: "\f1e0";
}
.fa-share-alt-square:before {
  content: "\f1e1";
}
.fa-bomb:before {
  content: "\f1e2";
}
.fa-soccer-ball-o:before,
.fa-futbol-o:before {
  content: "\f1e3";
}
.fa-tty:before {
  content: "\f1e4";
}
.fa-binoculars:before {
  content: "\f1e5";
}
.fa-plug:before {
  content: "\f1e6";
}
.fa-slideshare:before {
  content: "\f1e7";
}
.fa-twitch:before {
  content: "\f1e8";
}
.fa-yelp:before {
  content: "\f1e9";
}
.fa-newspaper-o:before {
  content: "\f1ea";
}
.fa-wifi:before {
  content: "\f1eb";
}
.fa-calculator:before {
  content: "\f1ec";
}
.fa-paypal:before {
  content: "\f1ed";
}
.fa-google-wallet:before {
  content: "\f1ee";
}
.fa-cc-visa:before {
  content: "\f1f0";
}
.fa-cc-mastercard:before {
  content: "\f1f1";
}
.fa-cc-discover:before {
  content: "\f1f2";
}
.fa-cc-amex:before {
  content: "\f1f3";
}
.fa-cc-paypal:before {
  content: "\f1f4";
}
.fa-cc-stripe:before {
  content: "\f1f5";
}
.fa-bell-slash:before {
  content: "\f1f6";
}
.fa-bell-slash-o:before {
  content: "\f1f7";
}
.fa-trash:before {
  content: "\f1f8";
}
.fa-copyright:before {
  content: "\f1f9";
}
.fa-at:before {
  content: "\f1fa";
}
.fa-eyedropper:before {
  content: "\f1fb";
}
.fa-paint-brush:before {
  content: "\f1fc";
}
.fa-birthday-cake:before {
  content: "\f1fd";
}
.fa-area-chart:before {
  content: "\f1fe";
}
.fa-pie-chart:before {
  content: "\f200";
}
.fa-line-chart:before {
  content: "\f201";
}
.fa-lastfm:before {
  content: "\f202";
}
.fa-lastfm-square:before {
  content: "\f203";
}
.fa-toggle-off:before {
  content: "\f204";
}
.fa-toggle-on:before {
  content: "\f205";
}
.fa-bicycle:before {
  content: "\f206";
}
.fa-bus:before {
  content: "\f207";
}
.fa-ioxhost:before {
  content: "\f208";
}
.fa-angellist:before {
  content: "\f209";
}
.fa-cc:before {
  content: "\f20a";
}
.fa-shekel:before,
.fa-sheqel:before,
.fa-ils:before {
  content: "\f20b";
}
.fa-meanpath:before {
  content: "\f20c";
}
/*!
*
* IPython base
*
*/
.modal.fade .modal-dialog {
  -webkit-transform: translate(0, 0);
  -ms-transform: translate(0, 0);
  -o-transform: translate(0, 0);
  transform: translate(0, 0);
}
code {
  color: #000;
}
pre {
  font-size: inherit;
  line-height: inherit;
}
label {
  font-weight: normal;
}
/* Make the page background atleast 100% the height of the view port */
/* Make the page itself atleast 70% the height of the view port */
.border-box-sizing {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.corner-all {
  border-radius: 2px;
}
.no-padding {
  padding: 0px;
}
/* Flexible box model classes */
/* Taken from Alex Russell http://infrequently.org/2009/08/css-3-progress/ */
/* This file is a compatability layer.  It allows the usage of flexible box 
model layouts accross multiple browsers, including older browsers.  The newest,
universal implementation of the flexible box model is used when available (see
`Modern browsers` comments below).  Browsers that are known to implement this 
new spec completely include:

    Firefox 28.0+
    Chrome 29.0+
    Internet Explorer 11+ 
    Opera 17.0+

Browsers not listed, including Safari, are supported via the styling under the
`Old browsers` comments below.
*/
.hbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
.hbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.vbox {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
.vbox > * {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
}
.hbox.reverse,
.vbox.reverse,
.reverse {
  /* Old browsers */
  -webkit-box-direction: reverse;
  -moz-box-direction: reverse;
  box-direction: reverse;
  /* Modern browsers */
  flex-direction: row-reverse;
}
.hbox.box-flex0,
.vbox.box-flex0,
.box-flex0 {
  /* Old browsers */
  -webkit-box-flex: 0;
  -moz-box-flex: 0;
  box-flex: 0;
  /* Modern browsers */
  flex: none;
  width: auto;
}
.hbox.box-flex1,
.vbox.box-flex1,
.box-flex1 {
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex,
.vbox.box-flex,
.box-flex {
  /* Old browsers */
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
.hbox.box-flex2,
.vbox.box-flex2,
.box-flex2 {
  /* Old browsers */
  -webkit-box-flex: 2;
  -moz-box-flex: 2;
  box-flex: 2;
  /* Modern browsers */
  flex: 2;
}
.box-group1 {
  /*  Deprecated */
  -webkit-box-flex-group: 1;
  -moz-box-flex-group: 1;
  box-flex-group: 1;
}
.box-group2 {
  /* Deprecated */
  -webkit-box-flex-group: 2;
  -moz-box-flex-group: 2;
  box-flex-group: 2;
}
.hbox.start,
.vbox.start,
.start {
  /* Old browsers */
  -webkit-box-pack: start;
  -moz-box-pack: start;
  box-pack: start;
  /* Modern browsers */
  justify-content: flex-start;
}
.hbox.end,
.vbox.end,
.end {
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
}
.hbox.center,
.vbox.center,
.center {
  /* Old browsers */
  -webkit-box-pack: center;
  -moz-box-pack: center;
  box-pack: center;
  /* Modern browsers */
  justify-content: center;
}
.hbox.baseline,
.vbox.baseline,
.baseline {
  /* Old browsers */
  -webkit-box-pack: baseline;
  -moz-box-pack: baseline;
  box-pack: baseline;
  /* Modern browsers */
  justify-content: baseline;
}
.hbox.stretch,
.vbox.stretch,
.stretch {
  /* Old browsers */
  -webkit-box-pack: stretch;
  -moz-box-pack: stretch;
  box-pack: stretch;
  /* Modern browsers */
  justify-content: stretch;
}
.hbox.align-start,
.vbox.align-start,
.align-start {
  /* Old browsers */
  -webkit-box-align: start;
  -moz-box-align: start;
  box-align: start;
  /* Modern browsers */
  align-items: flex-start;
}
.hbox.align-end,
.vbox.align-end,
.align-end {
  /* Old browsers */
  -webkit-box-align: end;
  -moz-box-align: end;
  box-align: end;
  /* Modern browsers */
  align-items: flex-end;
}
.hbox.align-center,
.vbox.align-center,
.align-center {
  /* Old browsers */
  -webkit-box-align: center;
  -moz-box-align: center;
  box-align: center;
  /* Modern browsers */
  align-items: center;
}
.hbox.align-baseline,
.vbox.align-baseline,
.align-baseline {
  /* Old browsers */
  -webkit-box-align: baseline;
  -moz-box-align: baseline;
  box-align: baseline;
  /* Modern browsers */
  align-items: baseline;
}
.hbox.align-stretch,
.vbox.align-stretch,
.align-stretch {
  /* Old browsers */
  -webkit-box-align: stretch;
  -moz-box-align: stretch;
  box-align: stretch;
  /* Modern browsers */
  align-items: stretch;
}
div.error {
  margin: 2em;
  text-align: center;
}
div.error > h1 {
  font-size: 500%;
  line-height: normal;
}
div.error > p {
  font-size: 200%;
  line-height: normal;
}
div.traceback-wrapper {
  text-align: left;
  max-width: 800px;
  margin: auto;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
body {
  background-color: #fff;
  /* This makes sure that the body covers the entire window and needs to
       be in a different element than the display: box in wrapper below */
  position: absolute;
  left: 0px;
  right: 0px;
  top: 0px;
  bottom: 0px;
  overflow: visible;
}
body > #header {
  /* Initially hidden to prevent FLOUC */
  display: none;
  background-color: #fff;
  /* Display over codemirror */
  position: relative;
  z-index: 100;
}
body > #header #header-container {
  padding-bottom: 5px;
  padding-top: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
body > #header .header-bar {
  width: 100%;
  height: 1px;
  background: #e7e7e7;
  margin-bottom: -1px;
}
@media print {
  body > #header {
    display: none !important;
  }
}
#header-spacer {
  width: 100%;
  visibility: hidden;
}
@media print {
  #header-spacer {
    display: none;
  }
}
#ipython_notebook {
  padding-left: 0px;
  padding-top: 1px;
  padding-bottom: 1px;
}
@media (max-width: 991px) {
  #ipython_notebook {
    margin-left: 10px;
  }
}
[dir="rtl"] #ipython_notebook {
  float: right !important;
}
#noscript {
  width: auto;
  padding-top: 16px;
  padding-bottom: 16px;
  text-align: center;
  font-size: 22px;
  color: red;
  font-weight: bold;
}
#ipython_notebook img {
  height: 28px;
}
#site {
  width: 100%;
  display: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  overflow: auto;
}
@media print {
  #site {
    height: auto !important;
  }
}
/* Smaller buttons */
.ui-button .ui-button-text {
  padding: 0.2em 0.8em;
  font-size: 77%;
}
input.ui-button {
  padding: 0.3em 0.9em;
}
span#login_widget {
  float: right;
}
span#login_widget > .button,
#logout {
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button:focus,
#logout:focus,
span#login_widget > .button.focus,
#logout.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
span#login_widget > .button:hover,
#logout:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
span#login_widget > .button:active:hover,
#logout:active:hover,
span#login_widget > .button.active:hover,
#logout.active:hover,
.open > .dropdown-togglespan#login_widget > .button:hover,
.open > .dropdown-toggle#logout:hover,
span#login_widget > .button:active:focus,
#logout:active:focus,
span#login_widget > .button.active:focus,
#logout.active:focus,
.open > .dropdown-togglespan#login_widget > .button:focus,
.open > .dropdown-toggle#logout:focus,
span#login_widget > .button:active.focus,
#logout:active.focus,
span#login_widget > .button.active.focus,
#logout.active.focus,
.open > .dropdown-togglespan#login_widget > .button.focus,
.open > .dropdown-toggle#logout.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
span#login_widget > .button:active,
#logout:active,
span#login_widget > .button.active,
#logout.active,
.open > .dropdown-togglespan#login_widget > .button,
.open > .dropdown-toggle#logout {
  background-image: none;
}
span#login_widget > .button.disabled:hover,
#logout.disabled:hover,
span#login_widget > .button[disabled]:hover,
#logout[disabled]:hover,
fieldset[disabled] span#login_widget > .button:hover,
fieldset[disabled] #logout:hover,
span#login_widget > .button.disabled:focus,
#logout.disabled:focus,
span#login_widget > .button[disabled]:focus,
#logout[disabled]:focus,
fieldset[disabled] span#login_widget > .button:focus,
fieldset[disabled] #logout:focus,
span#login_widget > .button.disabled.focus,
#logout.disabled.focus,
span#login_widget > .button[disabled].focus,
#logout[disabled].focus,
fieldset[disabled] span#login_widget > .button.focus,
fieldset[disabled] #logout.focus {
  background-color: #fff;
  border-color: #ccc;
}
span#login_widget > .button .badge,
#logout .badge {
  color: #fff;
  background-color: #333;
}
.nav-header {
  text-transform: none;
}
#header > span {
  margin-top: 10px;
}
.modal_stretch .modal-dialog {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  min-height: 80vh;
}
.modal_stretch .modal-dialog .modal-body {
  max-height: calc(100vh - 200px);
  overflow: auto;
  flex: 1;
}
@media (min-width: 768px) {
  .modal .modal-dialog {
    width: 700px;
  }
}
@media (min-width: 768px) {
  select.form-control {
    margin-left: 12px;
    margin-right: 12px;
  }
}
/*!
*
* IPython auth
*
*/
.center-nav {
  display: inline-block;
  margin-bottom: -4px;
}
/*!
*
* IPython tree view
*
*/
/* We need an invisible input field on top of the sentense*/
/* "Drag file onto the list ..." */
.alternate_upload {
  background-color: none;
  display: inline;
}
.alternate_upload.form {
  padding: 0;
  margin: 0;
}
.alternate_upload input.fileinput {
  text-align: center;
  vertical-align: middle;
  display: inline;
  opacity: 0;
  z-index: 2;
  width: 12ex;
  margin-right: -12ex;
}
.alternate_upload .btn-upload {
  height: 22px;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
[dir="rtl"] #tabs li {
  float: right;
}
ul#tabs {
  margin-bottom: 4px;
}
[dir="rtl"] ul#tabs {
  margin-right: 0px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
ul.breadcrumb a:focus,
ul.breadcrumb a:hover {
  text-decoration: none;
}
ul.breadcrumb i.icon-home {
  font-size: 16px;
  margin-right: 4px;
}
ul.breadcrumb span {
  color: #5e5e5e;
}
.list_toolbar {
  padding: 4px 0 4px 0;
  vertical-align: middle;
}
.list_toolbar .tree-buttons {
  padding-top: 1px;
}
[dir="rtl"] .list_toolbar .tree-buttons {
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-right {
  padding-top: 1px;
  float: left !important;
}
[dir="rtl"] .list_toolbar .pull-left {
  float: right !important;
}
.dynamic-buttons {
  padding-top: 3px;
  display: inline-block;
}
.list_toolbar [class*="span"] {
  min-height: 24px;
}
.list_header {
  font-weight: bold;
  background-color: #EEE;
}
.list_placeholder {
  font-weight: bold;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
}
.list_container {
  margin-top: 4px;
  margin-bottom: 20px;
  border: 1px solid #ddd;
  border-radius: 2px;
}
.list_container > div {
  border-bottom: 1px solid #ddd;
}
.list_container > div:hover .list-item {
  background-color: red;
}
.list_container > div:last-child {
  border: none;
}
.list_item:hover .list_item {
  background-color: #ddd;
}
.list_item a {
  text-decoration: none;
}
.list_item:hover {
  background-color: #fafafa;
}
.list_header > div,
.list_item > div {
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
.list_header > div input,
.list_item > div input {
  margin-right: 7px;
  margin-left: 14px;
  vertical-align: baseline;
  line-height: 22px;
  position: relative;
  top: -1px;
}
.list_header > div .item_link,
.list_item > div .item_link {
  margin-left: -1px;
  vertical-align: baseline;
  line-height: 22px;
}
.new-file input[type=checkbox] {
  visibility: hidden;
}
.item_name {
  line-height: 22px;
  height: 24px;
}
.item_icon {
  font-size: 14px;
  color: #5e5e5e;
  margin-right: 7px;
  margin-left: 7px;
  line-height: 22px;
  vertical-align: baseline;
}
.item_buttons {
  line-height: 1em;
  margin-left: -5px;
}
.item_buttons .btn,
.item_buttons .btn-group,
.item_buttons .input-group {
  float: left;
}
.item_buttons > .btn,
.item_buttons > .btn-group,
.item_buttons > .input-group {
  margin-left: 5px;
}
.item_buttons .btn {
  min-width: 13ex;
}
.item_buttons .running-indicator {
  padding-top: 4px;
  color: #5cb85c;
}
.item_buttons .kernel-name {
  padding-top: 4px;
  color: #5bc0de;
  margin-right: 7px;
  float: left;
}
.toolbar_info {
  height: 24px;
  line-height: 24px;
}
.list_item input:not([type=checkbox]) {
  padding-top: 3px;
  padding-bottom: 3px;
  height: 22px;
  line-height: 14px;
  margin: 0px;
}
.highlight_text {
  color: blue;
}
#project_name {
  display: inline-block;
  padding-left: 7px;
  margin-left: -2px;
}
#project_name > .breadcrumb {
  padding: 0px;
  margin-bottom: 0px;
  background-color: transparent;
  font-weight: bold;
}
#tree-selector {
  padding-right: 0px;
}
[dir="rtl"] #tree-selector a {
  float: right;
}
#button-select-all {
  min-width: 50px;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
}
.menu_icon {
  margin-right: 2px;
}
.tab-content .row {
  margin-left: 0px;
  margin-right: 0px;
}
.folder_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f114";
}
.folder_icon:before.pull-left {
  margin-right: .3em;
}
.folder_icon:before.pull-right {
  margin-left: .3em;
}
.notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
}
.notebook_icon:before.pull-left {
  margin-right: .3em;
}
.notebook_icon:before.pull-right {
  margin-left: .3em;
}
.running_notebook_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f02d";
  position: relative;
  top: -1px;
  color: #5cb85c;
}
.running_notebook_icon:before.pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.pull-right {
  margin-left: .3em;
}
.file_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f016";
  position: relative;
  top: -2px;
}
.file_icon:before.pull-left {
  margin-right: .3em;
}
.file_icon:before.pull-right {
  margin-left: .3em;
}
#notebook_toolbar .pull-right {
  padding-top: 0px;
  margin-right: -1px;
}
ul#new-menu {
  left: auto;
  right: 0;
}
[dir="rtl"] #new-menu {
  text-align: right;
}
.kernel-menu-icon {
  padding-right: 12px;
  width: 24px;
  content: "\f096";
}
.kernel-menu-icon:before {
  content: "\f096";
}
.kernel-menu-icon-current:before {
  content: "\f00c";
}
#tab_content {
  padding-top: 20px;
}
#running .panel-group .panel {
  margin-top: 3px;
  margin-bottom: 1em;
}
#running .panel-group .panel .panel-heading {
  background-color: #EEE;
  padding-top: 4px;
  padding-bottom: 4px;
  padding-left: 7px;
  padding-right: 7px;
  line-height: 22px;
}
#running .panel-group .panel .panel-heading a:focus,
#running .panel-group .panel .panel-heading a:hover {
  text-decoration: none;
}
#running .panel-group .panel .panel-body {
  padding: 0px;
}
#running .panel-group .panel .panel-body .list_container {
  margin-top: 0px;
  margin-bottom: 0px;
  border: 0px;
  border-radius: 0px;
}
#running .panel-group .panel .panel-body .list_container .list_item {
  border-bottom: 1px solid #ddd;
}
#running .panel-group .panel .panel-body .list_container .list_item:last-child {
  border-bottom: 0px;
}
[dir="rtl"] #running .col-sm-8 {
  float: right !important;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.shutdown-button {
  display: none;
}
.dynamic-instructions {
  display: inline-block;
  padding-top: 4px;
}
/*!
*
* IPython text editor webapp
*
*/
.selected-keymap i.fa {
  padding: 0px 5px;
}
.selected-keymap i.fa:before {
  content: "\f00c";
}
#mode-menu {
  overflow: auto;
  max-height: 20em;
}
.edit_app #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
.edit_app #menubar .navbar {
  /* Use a negative 1 bottom margin, so the border overlaps the border of the
    header */
  margin-bottom: -1px;
}
.dirty-indicator {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator.pull-left {
  margin-right: .3em;
}
.dirty-indicator.pull-right {
  margin-left: .3em;
}
.dirty-indicator-dirty {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-dirty.pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  width: 20px;
}
.dirty-indicator-clean.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.pull-right {
  margin-left: .3em;
}
.dirty-indicator-clean:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f00c";
}
.dirty-indicator-clean:before.pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.pull-right {
  margin-left: .3em;
}
#filename {
  font-size: 16pt;
  display: table;
  padding: 0px 5px;
}
#current-mode {
  padding-left: 5px;
  padding-right: 5px;
}
#texteditor-backdrop {
  padding-top: 20px;
  padding-bottom: 20px;
}
@media not print {
  #texteditor-backdrop {
    background-color: #EEE;
  }
}
@media print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container .CodeMirror-gutter,
  #texteditor-backdrop #texteditor-container .CodeMirror-gutters {
    background-color: #fff;
  }
}
@media not print {
  #texteditor-backdrop #texteditor-container {
    padding: 0px;
    background-color: #fff;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI colors. */
.ansibold {
  font-weight: bold;
}
/* use dark versions for foreground, to improve visibility */
.ansiblack {
  color: black;
}
.ansired {
  color: darkred;
}
.ansigreen {
  color: darkgreen;
}
.ansiyellow {
  color: #c4a000;
}
.ansiblue {
  color: darkblue;
}
.ansipurple {
  color: darkviolet;
}
.ansicyan {
  color: steelblue;
}
.ansigray {
  color: gray;
}
/* and light for background, for the same reason */
.ansibgblack {
  background-color: black;
}
.ansibgred {
  background-color: red;
}
.ansibggreen {
  background-color: green;
}
.ansibgyellow {
  background-color: yellow;
}
.ansibgblue {
  background-color: blue;
}
.ansibgpurple {
  background-color: magenta;
}
.ansibgcyan {
  background-color: cyan;
}
.ansibggray {
  background-color: gray;
}
div.cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  border-radius: 2px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  border-width: 1px;
  border-style: solid;
  border-color: transparent;
  width: 100%;
  padding: 5px;
  /* This acts as a spacer between cells, that is outside the border */
  margin: 0px;
  outline: none;
  border-left-width: 1px;
  padding-left: 5px;
  background: linear-gradient(to right, transparent -40px, transparent 1px, transparent 1px, transparent 100%);
}
div.cell.jupyter-soft-selected {
  border-left-color: #90CAF9;
  border-left-color: #E3F2FD;
  border-left-width: 1px;
  padding-left: 5px;
  border-right-color: #E3F2FD;
  border-right-width: 1px;
  background: #E3F2FD;
}
@media print {
  div.cell.jupyter-soft-selected {
    border-color: transparent;
  }
}
div.cell.selected {
  border-color: #ababab;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 5px, transparent 5px, transparent 100%);
}
@media print {
  div.cell.selected {
    border-color: transparent;
  }
}
div.cell.selected.jupyter-soft-selected {
  border-left-width: 0;
  padding-left: 6px;
  background: linear-gradient(to right, #42A5F5 -40px, #42A5F5 7px, #E3F2FD 7px, #E3F2FD 100%);
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
  border-left-width: 0px;
  padding-left: 6px;
  background: linear-gradient(to right, #66BB6A -40px, #66BB6A 5px, transparent 5px, transparent 100%);
}
@media print {
  .edit_mode div.cell.selected {
    border-color: transparent;
  }
}
.prompt {
  /* This needs to be wide enough for 3 digit prompt numbers: In[100]: */
  min-width: 14ex;
  /* This padding is tuned to match the padding on the CodeMirror editor. */
  padding: 0.4em;
  margin: 0px;
  font-family: monospace;
  text-align: right;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
  /* Don't highlight prompt number selection */
  -webkit-touch-callout: none;
  -webkit-user-select: none;
  -khtml-user-select: none;
  -moz-user-select: none;
  -ms-user-select: none;
  user-select: none;
  /* Use default cursor */
  cursor: default;
}
@media (max-width: 540px) {
  .prompt {
    text-align: left;
  }
}
div.inner_cell {
  min-width: 0;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_area {
  border: 1px solid #cfcfcf;
  border-radius: 2px;
  background: #f7f7f7;
  line-height: 1.21429em;
}
/* This is needed so that empty prompt areas can collapse to zero height when there
   is no content in the output_subarea and the prompt. The main purpose of this is
   to make sure that empty JavaScript output_subareas have no height. */
div.prompt:empty {
  padding-top: 0;
  padding-bottom: 0;
}
div.unrecognized_cell {
  padding: 5px 5px 5px 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.unrecognized_cell .inner_cell {
  border-radius: 2px;
  padding: 5px;
  font-weight: bold;
  color: red;
  border: 1px solid #cfcfcf;
  background: #eaeaea;
}
div.unrecognized_cell .inner_cell a {
  color: inherit;
  text-decoration: none;
}
div.unrecognized_cell .inner_cell a:hover {
  color: inherit;
  text-decoration: none;
}
@media (max-width: 540px) {
  div.unrecognized_cell > div.prompt {
    display: none;
  }
}
div.code_cell {
  /* avoid page breaking on code cells when printing */
}
@media print {
  div.code_cell {
    page-break-inside: avoid;
  }
}
/* any special styling for code cells that are currently running goes here */
div.input {
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.input {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
/* input_area and input_prompt must match in top border and margin for alignment */
div.input_prompt {
  color: #303F9F;
  border-top: 1px solid transparent;
}
div.input_area > div.highlight {
  margin: 0.4em;
  border: none;
  padding: 0px;
  background-color: transparent;
}
div.input_area > div.highlight > pre {
  margin: 0px;
  border: none;
  padding: 0px;
  background-color: transparent;
}
/* The following gets added to the <head> if it is detected that the user has a
 * monospace font with inconsistent normal/bold/italic height.  See
 * notebookmain.js.  Such fonts will have keywords vertically offset with
 * respect to the rest of the text.  The user should select a better font.
 * See: https://github.com/ipython/ipython/issues/1503
 *
 * .CodeMirror span {
 *      vertical-align: bottom;
 * }
 */
.CodeMirror {
  line-height: 1.21429em;
  /* Changed from 1em to our global default */
  font-size: 14px;
  height: auto;
  /* Changed to auto to autogrow */
  background: none;
  /* Changed from white to allow our bg to show through */
}
.CodeMirror-scroll {
  /*  The CodeMirror docs are a bit fuzzy on if overflow-y should be hidden or visible.*/
  /*  We have found that if it is visible, vertical scrollbars appear with font size changes.*/
  overflow-y: hidden;
  overflow-x: auto;
}
.CodeMirror-lines {
  /* In CM2, this used to be 0.4em, but in CM3 it went to 4px. We need the em value because */
  /* we have set a different line-height and want this to scale with that. */
  padding: 0.4em;
}
.CodeMirror-linenumber {
  padding: 0 8px 0 4px;
}
.CodeMirror-gutters {
  border-bottom-left-radius: 2px;
  border-top-left-radius: 2px;
}
.CodeMirror pre {
  /* In CM3 this went to 4px from 0 in CM2. We need the 0 value because of how we size */
  /* .CodeMirror-lines */
  padding: 0;
  border: 0;
  border-radius: 0;
}
/*

Original style from softwaremaniacs.org (c) Ivan Sagalaev <Maniac@SoftwareManiacs.Org>
Adapted from GitHub theme

*/
.highlight-base {
  color: #000;
}
.highlight-variable {
  color: #000;
}
.highlight-variable-2 {
  color: #1a1a1a;
}
.highlight-variable-3 {
  color: #333333;
}
.highlight-string {
  color: #BA2121;
}
.highlight-comment {
  color: #408080;
  font-style: italic;
}
.highlight-number {
  color: #080;
}
.highlight-atom {
  color: #88F;
}
.highlight-keyword {
  color: #008000;
  font-weight: bold;
}
.highlight-builtin {
  color: #008000;
}
.highlight-error {
  color: #f00;
}
.highlight-operator {
  color: #AA22FF;
  font-weight: bold;
}
.highlight-meta {
  color: #AA22FF;
}
/* previously not defined, copying from default codemirror */
.highlight-def {
  color: #00f;
}
.highlight-string-2 {
  color: #f50;
}
.highlight-qualifier {
  color: #555;
}
.highlight-bracket {
  color: #997;
}
.highlight-tag {
  color: #170;
}
.highlight-attribute {
  color: #00c;
}
.highlight-header {
  color: blue;
}
.highlight-quote {
  color: #090;
}
.highlight-link {
  color: #00c;
}
/* apply the same style to codemirror */
.cm-s-ipython span.cm-keyword {
  color: #008000;
  font-weight: bold;
}
.cm-s-ipython span.cm-atom {
  color: #88F;
}
.cm-s-ipython span.cm-number {
  color: #080;
}
.cm-s-ipython span.cm-def {
  color: #00f;
}
.cm-s-ipython span.cm-variable {
  color: #000;
}
.cm-s-ipython span.cm-operator {
  color: #AA22FF;
  font-weight: bold;
}
.cm-s-ipython span.cm-variable-2 {
  color: #1a1a1a;
}
.cm-s-ipython span.cm-variable-3 {
  color: #333333;
}
.cm-s-ipython span.cm-comment {
  color: #408080;
  font-style: italic;
}
.cm-s-ipython span.cm-string {
  color: #BA2121;
}
.cm-s-ipython span.cm-string-2 {
  color: #f50;
}
.cm-s-ipython span.cm-meta {
  color: #AA22FF;
}
.cm-s-ipython span.cm-qualifier {
  color: #555;
}
.cm-s-ipython span.cm-builtin {
  color: #008000;
}
.cm-s-ipython span.cm-bracket {
  color: #997;
}
.cm-s-ipython span.cm-tag {
  color: #170;
}
.cm-s-ipython span.cm-attribute {
  color: #00c;
}
.cm-s-ipython span.cm-header {
  color: blue;
}
.cm-s-ipython span.cm-quote {
  color: #090;
}
.cm-s-ipython span.cm-link {
  color: #00c;
}
.cm-s-ipython span.cm-error {
  color: #f00;
}
.cm-s-ipython span.cm-tab {
  background: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAADAAAAAMCAYAAAAkuj5RAAAAAXNSR0IArs4c6QAAAGFJREFUSMft1LsRQFAQheHPowAKoACx3IgEKtaEHujDjORSgWTH/ZOdnZOcM/sgk/kFFWY0qV8foQwS4MKBCS3qR6ixBJvElOobYAtivseIE120FaowJPN75GMu8j/LfMwNjh4HUpwg4LUAAAAASUVORK5CYII=);
  background-position: right;
  background-repeat: no-repeat;
}
div.output_wrapper {
  /* this position must be relative to enable descendents to be absolute within it */
  position: relative;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
  z-index: 1;
}
/* class for the output area when it should be height-limited */
div.output_scroll {
  /* ideally, this would be max-height, but FF barfs all over that */
  height: 24em;
  /* FF needs this *and the wrapper* to specify full width, or it will shrinkwrap */
  width: 100%;
  overflow: auto;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  box-shadow: inset 0 2px 8px rgba(0, 0, 0, 0.8);
  display: block;
}
/* output div while it is collapsed */
div.output_collapsed {
  margin: 0px;
  padding: 0px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
div.out_prompt_overlay {
  height: 100%;
  padding: 0px 0.4em;
  position: absolute;
  border-radius: 2px;
}
div.out_prompt_overlay:hover {
  /* use inner shadow to get border that is computed the same on WebKit/FF */
  -webkit-box-shadow: inset 0 0 1px #000;
  box-shadow: inset 0 0 1px #000;
  background: rgba(240, 240, 240, 0.5);
}
div.output_prompt {
  color: #D84315;
}
/* This class is the outer container of all output sections. */
div.output_area {
  padding: 0px;
  page-break-inside: avoid;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
div.output_area .MathJax_Display {
  text-align: left !important;
}
div.output_area .rendered_html table {
  margin-left: 0;
  margin-right: 0;
}
div.output_area .rendered_html img {
  margin-left: 0;
  margin-right: 0;
}
div.output_area img,
div.output_area svg {
  max-width: 100%;
  height: auto;
}
div.output_area img.unconfined,
div.output_area svg.unconfined {
  max-width: none;
}
/* This is needed to protect the pre formating from global settings such
   as that of bootstrap */
.output {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: vertical;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: vertical;
  -moz-box-align: stretch;
  display: box;
  box-orient: vertical;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: column;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.output_area {
    /* Old browsers */
    display: -webkit-box;
    -webkit-box-orient: vertical;
    -webkit-box-align: stretch;
    display: -moz-box;
    -moz-box-orient: vertical;
    -moz-box-align: stretch;
    display: box;
    box-orient: vertical;
    box-align: stretch;
    /* Modern browsers */
    display: flex;
    flex-direction: column;
    align-items: stretch;
  }
}
div.output_area pre {
  margin: 0;
  padding: 0;
  border: 0;
  vertical-align: baseline;
  color: black;
  background-color: transparent;
  border-radius: 0;
}
/* This class is for the output subarea inside the output_area and after
   the prompt div. */
div.output_subarea {
  overflow-x: auto;
  padding: 0.4em;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
  max-width: calc(100% - 14ex);
}
div.output_scroll div.output_subarea {
  overflow-x: visible;
}
/* The rest of the output_* classes are for special styling of the different
   output types */
/* all text output has this class: */
div.output_text {
  text-align: left;
  color: #000;
  /* This has to match that of the the CodeMirror class line-height below */
  line-height: 1.21429em;
}
/* stdout/stderr are 'text' as well as 'stream', but execute_result/error are *not* streams */
div.output_stderr {
  background: #fdd;
  /* very light red background for stderr */
}
div.output_latex {
  text-align: left;
}
/* Empty output_javascript divs should have no height */
div.output_javascript:empty {
  padding: 0;
}
.js-error {
  color: darkred;
}
/* raw_input styles */
div.raw_input_container {
  line-height: 1.21429em;
  padding-top: 5px;
}
pre.raw_input_prompt {
  /* nothing needed here. */
}
input.raw_input {
  font-family: monospace;
  font-size: inherit;
  color: inherit;
  width: auto;
  /* make sure input baseline aligns with prompt */
  vertical-align: baseline;
  /* padding + margin = 0.5em between prompt and cursor */
  padding: 0em 0.25em;
  margin: 0em 0.25em;
}
input.raw_input:focus {
  box-shadow: none;
}
p.p-space {
  margin-bottom: 10px;
}
div.output_unrecognized {
  padding: 5px;
  font-weight: bold;
  color: red;
}
div.output_unrecognized a {
  color: inherit;
  text-decoration: none;
}
div.output_unrecognized a:hover {
  color: inherit;
  text-decoration: none;
}
.rendered_html {
  color: #000;
  /* any extras will just be numbers: */
}
.rendered_html em {
  font-style: italic;
}
.rendered_html strong {
  font-weight: bold;
}
.rendered_html u {
  text-decoration: underline;
}
.rendered_html :link {
  text-decoration: underline;
}
.rendered_html :visited {
  text-decoration: underline;
}
.rendered_html h1 {
  font-size: 185.7%;
  margin: 1.08em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h2 {
  font-size: 157.1%;
  margin: 1.27em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h3 {
  font-size: 128.6%;
  margin: 1.55em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h4 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
}
.rendered_html h5 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h6 {
  font-size: 100%;
  margin: 2em 0 0 0;
  font-weight: bold;
  line-height: 1.0;
  font-style: italic;
}
.rendered_html h1:first-child {
  margin-top: 0.538em;
}
.rendered_html h2:first-child {
  margin-top: 0.636em;
}
.rendered_html h3:first-child {
  margin-top: 0.777em;
}
.rendered_html h4:first-child {
  margin-top: 1em;
}
.rendered_html h5:first-child {
  margin-top: 1em;
}
.rendered_html h6:first-child {
  margin-top: 1em;
}
.rendered_html ul {
  list-style: disc;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ul ul {
  list-style: square;
  margin: 0em 2em;
}
.rendered_html ul ul ul {
  list-style: circle;
  margin: 0em 2em;
}
.rendered_html ol {
  list-style: decimal;
  margin: 0em 2em;
  padding-left: 0px;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
  margin: 0em 2em;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
  margin: 0em 2em;
}
.rendered_html * + ul {
  margin-top: 1em;
}
.rendered_html * + ol {
  margin-top: 1em;
}
.rendered_html hr {
  color: black;
  background-color: black;
}
.rendered_html pre {
  margin: 1em 2em;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  background-color: #fff;
  color: #000;
  font-size: 100%;
  padding: 0px;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: 1px solid black;
  border-collapse: collapse;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  border: 1px solid black;
  border-collapse: collapse;
  margin: 1em 2em;
}
.rendered_html td,
.rendered_html th {
  text-align: left;
  vertical-align: middle;
  padding: 4px;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html * + table {
  margin-top: 1em;
}
.rendered_html p {
  text-align: left;
}
.rendered_html * + p {
  margin-top: 1em;
}
.rendered_html img {
  display: block;
  margin-left: auto;
  margin-right: auto;
}
.rendered_html * + img {
  margin-top: 1em;
}
.rendered_html img,
.rendered_html svg {
  max-width: 100%;
  height: auto;
}
.rendered_html img.unconfined,
.rendered_html svg.unconfined {
  max-width: none;
}
div.text_cell {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
}
@media (max-width: 540px) {
  div.text_cell > div.prompt {
    display: none;
  }
}
div.text_cell_render {
  /*font-family: "Helvetica Neue", Arial, Helvetica, Geneva, sans-serif;*/
  outline: none;
  resize: none;
  width: inherit;
  border-style: none;
  padding: 0.5em 0.5em 0.5em 0.4em;
  color: #000;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
a.anchor-link:link {
  text-decoration: none;
  padding: 0px 20px;
  visibility: hidden;
}
h1:hover .anchor-link,
h2:hover .anchor-link,
h3:hover .anchor-link,
h4:hover .anchor-link,
h5:hover .anchor-link,
h6:hover .anchor-link {
  visibility: visible;
}
.text_cell.rendered .input_area {
  display: none;
}
.text_cell.rendered .rendered_html {
  overflow-x: auto;
  overflow-y: hidden;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.cm-header-1,
.cm-header-2,
.cm-header-3,
.cm-header-4,
.cm-header-5,
.cm-header-6 {
  font-weight: bold;
  font-family: "Helvetica Neue", Helvetica, Arial, sans-serif;
}
.cm-header-1 {
  font-size: 185.7%;
}
.cm-header-2 {
  font-size: 157.1%;
}
.cm-header-3 {
  font-size: 128.6%;
}
.cm-header-4 {
  font-size: 110%;
}
.cm-header-5 {
  font-size: 100%;
  font-style: italic;
}
.cm-header-6 {
  font-size: 100%;
  font-style: italic;
}
/*!
*
* IPython notebook webapp
*
*/
@media (max-width: 767px) {
  .notebook_app {
    padding-left: 0px;
    padding-right: 0px;
  }
}
#ipython-main-app {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook_panel {
  margin: 0px;
  padding: 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  height: 100%;
}
div#notebook {
  font-size: 14px;
  line-height: 20px;
  overflow-y: hidden;
  overflow-x: auto;
  width: 100%;
  /* This spaces the page away from the edge of the notebook area */
  padding-top: 20px;
  margin: 0px;
  outline: none;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  min-height: 100%;
}
@media not print {
  #notebook-container {
    padding: 15px;
    background-color: #fff;
    min-height: 0;
    -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
    box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  }
}
@media print {
  #notebook-container {
    width: 100%;
  }
}
div.ui-widget-content {
  border: 1px solid #ababab;
  outline: none;
}
pre.dialog {
  background-color: #f7f7f7;
  border: 1px solid #ddd;
  border-radius: 2px;
  padding: 0.4em;
  padding-left: 2em;
}
p.dialog {
  padding: 0.2em;
}
/* Word-wrap output correctly.  This is the CSS3 spelling, though Firefox seems
   to not honor it correctly.  Webkit browsers (Chrome, rekonq, Safari) do.
 */
pre,
code,
kbd,
samp {
  white-space: pre-wrap;
}
#fonttest {
  font-family: monospace;
}
p {
  margin-bottom: 0;
}
.end_space {
  min-height: 100px;
  transition: height .2s ease;
}
.notebook_app > #header {
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
}
@media not print {
  .notebook_app {
    background-color: #EEE;
  }
}
kbd {
  border-style: solid;
  border-width: 1px;
  box-shadow: none;
  margin: 2px;
  padding-left: 2px;
  padding-right: 2px;
  padding-top: 1px;
  padding-bottom: 1px;
}
/* CSS for the cell toolbar */
.celltoolbar {
  border: thin solid #CFCFCF;
  border-bottom: none;
  background: #EEE;
  border-radius: 2px 2px 0px 0px;
  width: 100%;
  height: 29px;
  padding-right: 4px;
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  /* Old browsers */
  -webkit-box-pack: end;
  -moz-box-pack: end;
  box-pack: end;
  /* Modern browsers */
  justify-content: flex-end;
  display: -webkit-flex;
}
@media print {
  .celltoolbar {
    display: none;
  }
}
.ctb_hideshow {
  display: none;
  vertical-align: bottom;
}
/* ctb_show is added to the ctb_hideshow div to show the cell toolbar.
   Cell toolbars are only shown when the ctb_global_show class is also set.
*/
.ctb_global_show .ctb_show.ctb_hideshow {
  display: block;
}
.ctb_global_show .ctb_show + .input_area,
.ctb_global_show .ctb_show + div.text_cell_input,
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border-top-right-radius: 0px;
  border-top-left-radius: 0px;
}
.ctb_global_show .ctb_show ~ div.text_cell_render {
  border: 1px solid #cfcfcf;
}
.celltoolbar {
  font-size: 87%;
  padding-top: 3px;
}
.celltoolbar select {
  display: block;
  width: 100%;
  height: 32px;
  padding: 6px 12px;
  font-size: 13px;
  line-height: 1.42857143;
  color: #555555;
  background-color: #fff;
  background-image: none;
  border: 1px solid #ccc;
  border-radius: 2px;
  -webkit-box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  box-shadow: inset 0 1px 1px rgba(0, 0, 0, 0.075);
  -webkit-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  -o-transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  transition: border-color ease-in-out .15s, box-shadow ease-in-out .15s;
  height: 30px;
  padding: 5px 10px;
  font-size: 12px;
  line-height: 1.5;
  border-radius: 1px;
  width: inherit;
  font-size: inherit;
  height: 22px;
  padding: 0px;
  display: inline-block;
}
.celltoolbar select:focus {
  border-color: #66afe9;
  outline: 0;
  -webkit-box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
  box-shadow: inset 0 1px 1px rgba(0,0,0,.075), 0 0 8px rgba(102, 175, 233, 0.6);
}
.celltoolbar select::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.celltoolbar select:-ms-input-placeholder {
  color: #999;
}
.celltoolbar select::-webkit-input-placeholder {
  color: #999;
}
.celltoolbar select::-ms-expand {
  border: 0;
  background-color: transparent;
}
.celltoolbar select[disabled],
.celltoolbar select[readonly],
fieldset[disabled] .celltoolbar select {
  background-color: #eeeeee;
  opacity: 1;
}
.celltoolbar select[disabled],
fieldset[disabled] .celltoolbar select {
  cursor: not-allowed;
}
textarea.celltoolbar select {
  height: auto;
}
select.celltoolbar select {
  height: 30px;
  line-height: 30px;
}
textarea.celltoolbar select,
select[multiple].celltoolbar select {
  height: auto;
}
.celltoolbar label {
  margin-left: 5px;
  margin-right: 5px;
}
.completions {
  position: absolute;
  z-index: 110;
  overflow: hidden;
  border: 1px solid #ababab;
  border-radius: 2px;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  line-height: 1;
}
.completions select {
  background: white;
  outline: none;
  border: none;
  padding: 0px;
  margin: 0px;
  overflow: auto;
  font-family: monospace;
  font-size: 110%;
  color: #000;
  width: auto;
}
.completions select option.context {
  color: #286090;
}
#kernel_logo_widget {
  float: right !important;
  float: right;
}
#kernel_logo_widget .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
#menubar {
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
  margin-top: 1px;
}
#menubar .navbar {
  border-top: 1px;
  border-radius: 0px 0px 2px 2px;
  margin-bottom: 0px;
}
#menubar .navbar-toggle {
  float: left;
  padding-top: 7px;
  padding-bottom: 7px;
  border: none;
}
#menubar .navbar-collapse {
  clear: left;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
.dropdown-submenu:hover > .dropdown-menu {
  display: block;
}
.dropdown-submenu > a:after {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  display: block;
  content: "\f0da";
  float: right;
  color: #333333;
  margin-top: 2px;
  margin-right: -10px;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
.dropdown-submenu:hover > a:after {
  color: #262626;
}
.dropdown-submenu.pull-left {
  float: none;
}
.dropdown-submenu.pull-left > .dropdown-menu {
  left: -100%;
  margin-left: 10px;
}
#notification_area {
  float: right !important;
  float: right;
  z-index: 10;
}
.indicator_area {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#kernel_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  border-left: 1px solid;
}
#kernel_indicator .kernel_indicator_name {
  padding-left: 5px;
  padding-right: 5px;
}
#modal_indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
}
#readonly-indicator {
  float: right !important;
  float: right;
  color: #777;
  margin-left: 5px;
  margin-right: 5px;
  width: 11px;
  z-index: 10;
  text-align: center;
  width: auto;
  margin-top: 2px;
  margin-bottom: 0px;
  margin-left: 0px;
  margin-right: 0px;
  display: none;
}
.modal_indicator:before {
  width: 1.28571429em;
  text-align: center;
}
.edit_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f040";
}
.edit_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.command_mode .modal_indicator:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: ' ';
}
.command_mode .modal_indicator:before.pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.pull-right {
  margin-left: .3em;
}
.kernel_idle_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f10c";
}
.kernel_idle_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_busy_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f111";
}
.kernel_busy_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_dead_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f1e2";
}
.kernel_dead_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.pull-right {
  margin-left: .3em;
}
.kernel_disconnected_icon:before {
  display: inline-block;
  font: normal normal normal 14px/1 FontAwesome;
  font-size: inherit;
  text-rendering: auto;
  -webkit-font-smoothing: antialiased;
  -moz-osx-font-smoothing: grayscale;
  content: "\f127";
}
.kernel_disconnected_icon:before.pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.pull-right {
  margin-left: .3em;
}
.notification_widget {
  color: #777;
  z-index: 10;
  background: rgba(240, 240, 240, 0.5);
  margin-right: 4px;
  color: #333;
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget:focus,
.notification_widget.focus {
  color: #333;
  background-color: #e6e6e6;
  border-color: #8c8c8c;
}
.notification_widget:hover {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  color: #333;
  background-color: #e6e6e6;
  border-color: #adadad;
}
.notification_widget:active:hover,
.notification_widget.active:hover,
.open > .dropdown-toggle.notification_widget:hover,
.notification_widget:active:focus,
.notification_widget.active:focus,
.open > .dropdown-toggle.notification_widget:focus,
.notification_widget:active.focus,
.notification_widget.active.focus,
.open > .dropdown-toggle.notification_widget.focus {
  color: #333;
  background-color: #d4d4d4;
  border-color: #8c8c8c;
}
.notification_widget:active,
.notification_widget.active,
.open > .dropdown-toggle.notification_widget {
  background-image: none;
}
.notification_widget.disabled:hover,
.notification_widget[disabled]:hover,
fieldset[disabled] .notification_widget:hover,
.notification_widget.disabled:focus,
.notification_widget[disabled]:focus,
fieldset[disabled] .notification_widget:focus,
.notification_widget.disabled.focus,
.notification_widget[disabled].focus,
fieldset[disabled] .notification_widget.focus {
  background-color: #fff;
  border-color: #ccc;
}
.notification_widget .badge {
  color: #fff;
  background-color: #333;
}
.notification_widget.warning {
  color: #fff;
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning:focus,
.notification_widget.warning.focus {
  color: #fff;
  background-color: #ec971f;
  border-color: #985f0d;
}
.notification_widget.warning:hover {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  color: #fff;
  background-color: #ec971f;
  border-color: #d58512;
}
.notification_widget.warning:active:hover,
.notification_widget.warning.active:hover,
.open > .dropdown-toggle.notification_widget.warning:hover,
.notification_widget.warning:active:focus,
.notification_widget.warning.active:focus,
.open > .dropdown-toggle.notification_widget.warning:focus,
.notification_widget.warning:active.focus,
.notification_widget.warning.active.focus,
.open > .dropdown-toggle.notification_widget.warning.focus {
  color: #fff;
  background-color: #d58512;
  border-color: #985f0d;
}
.notification_widget.warning:active,
.notification_widget.warning.active,
.open > .dropdown-toggle.notification_widget.warning {
  background-image: none;
}
.notification_widget.warning.disabled:hover,
.notification_widget.warning[disabled]:hover,
fieldset[disabled] .notification_widget.warning:hover,
.notification_widget.warning.disabled:focus,
.notification_widget.warning[disabled]:focus,
fieldset[disabled] .notification_widget.warning:focus,
.notification_widget.warning.disabled.focus,
.notification_widget.warning[disabled].focus,
fieldset[disabled] .notification_widget.warning.focus {
  background-color: #f0ad4e;
  border-color: #eea236;
}
.notification_widget.warning .badge {
  color: #f0ad4e;
  background-color: #fff;
}
.notification_widget.success {
  color: #fff;
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success:focus,
.notification_widget.success.focus {
  color: #fff;
  background-color: #449d44;
  border-color: #255625;
}
.notification_widget.success:hover {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  color: #fff;
  background-color: #449d44;
  border-color: #398439;
}
.notification_widget.success:active:hover,
.notification_widget.success.active:hover,
.open > .dropdown-toggle.notification_widget.success:hover,
.notification_widget.success:active:focus,
.notification_widget.success.active:focus,
.open > .dropdown-toggle.notification_widget.success:focus,
.notification_widget.success:active.focus,
.notification_widget.success.active.focus,
.open > .dropdown-toggle.notification_widget.success.focus {
  color: #fff;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  margin-top: 6px;
}
span.save_widget span.filename {
  height: 1em;
  line-height: 1em;
  padding: 3px;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
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<p><a href="https://www.bigdatauniversity.com"><img src="https://ibm.box.com/shared/static/qo20b88v1hbjztubt06609ovs85q8fau.png" width="400px" align="center"></a></p>
<h1 align="center"><font size="5">CONVOLUTIONAL NEURAL NETWORK (on PowerAI)</font></h1>
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<h2>Introduction</h2>
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<p>In this section, we will use the famous <a href="http://yann.lecun.com/exdb/mnist/">MNIST</a> to build a Convolutional Neural Networks capable to perform handwritten digits classification. CNN will say, with some associated error, what type of digit is the presented input.</p>
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<font size = 3><strong>Click on the links to go to the following sections:</strong></font>
<br>
<h2>Table of Contents</h2>
<ol>
    <li><a href="#deep_learning_MNIST">Deep Learning applied on MNIST</a></li>
    <li><a href="#summary_CNN">Summary of the Deep Convolutional Neural Network</a></li>
    <li><a href="#train_model">Define functions and train the model</a></li>
    <li><a href="#evaluate_model">Evaluate the model</a></li>
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<h2 id="deep_learning_MNIST">Deep Learning applied on MNIST</h2>
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<p>We are going to create a simple CNN to perform classification tasks on the MNIST digits dataset. If you are not familiar with the MNIST dataset, please you could read more about it: <a href="http://yann.lecun.com/exdb/mnist/">click here</a></p>
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<h3>What is MNIST?</h3>
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<p>According to Lecun's website, the MNIST is a: "database of handwritten digits that has a training set of 60,000 examples, and a test set of 10,000 examples. It is a subset of a larger set available from NIST. The digits have been size-normalized and centered in a fixed-size image".</p>
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<h3>Import the MNIST dataset using TensorFlow built-in feature</h3>
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<p>It's very important to notice that MNIST is a high optimized data-set and it does not contain images. You will need to build your own code if you want to see the real digits. Another important side note is the effort that the authors invested on this data-set with normalization and centering operations.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">tensorflow</span> <span class="k">as</span> <span class="nn">tf</span>

<span class="kn">import</span> <span class="nn">os</span>
<span class="n">old_v</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">get_verbosity</span><span class="p">()</span>
<span class="n">tf</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">set_verbosity</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">ERROR</span><span class="p">)</span>
<span class="kn">from</span> <span class="nn">tensorflow.examples.tutorials.mnist</span> <span class="k">import</span> <span class="n">input_data</span>
<span class="n">mnist</span> <span class="o">=</span> <span class="n">input_data</span><span class="o">.</span><span class="n">read_data_sets</span><span class="p">(</span><span class="s1">&#39;MNIST_data&#39;</span><span class="p">,</span> <span class="n">one_hot</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">tf</span><span class="o">.</span><span class="n">logging</span><span class="o">.</span><span class="n">set_verbosity</span><span class="p">(</span><span class="n">old_v</span><span class="p">)</span>
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<pre>/opt/anaconda3/lib/python3.6/site-packages/h5py/__init__.py:36: FutureWarning: Conversion of the second argument of issubdtype from `float` to `np.floating` is deprecated. In future, it will be treated as `np.float64 == np.dtype(float).type`.
  from ._conv import register_converters as _register_converters
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<pre>Successfully downloaded train-images-idx3-ubyte.gz 9912422 bytes.
Extracting MNIST_data/train-images-idx3-ubyte.gz
Successfully downloaded train-labels-idx1-ubyte.gz 28881 bytes.
Extracting MNIST_data/train-labels-idx1-ubyte.gz
Successfully downloaded t10k-images-idx3-ubyte.gz 1648877 bytes.
Extracting MNIST_data/t10k-images-idx3-ubyte.gz
Successfully downloaded t10k-labels-idx1-ubyte.gz 4542 bytes.
Extracting MNIST_data/t10k-labels-idx1-ubyte.gz
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<p>The <code>one-hot = True</code> argument only means that, in contrast to Binary representation, the labels will be presented in a way that only one bit will be on for a specific digit.</p>
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<h3>Understanding the imported data</h3>
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<p>The imported data can be divided as follow:</p>
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    <li>Training (mnist.train):  Use the given dataset with inputs and related outputs for training of NN. In our case, if you give an image that you know that represents a "nine", this set will tell the neural network that we expect a "nine" as the output.
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            <li>55,000 data points.</li>
            <li>mnist.train.images for inputs.</li>
            <li>mnist.train.labels for outputs.</li>
        </ul>
    </li>
    <li>Validation (mnist.validation): The same as training, but now the date is used to generate model properties (classification error, for example) and from this, tune parameters like the optimal number of hidden units or determine a stopping point for the back-propagation algorithm.
        <ul>
            <li>5,000 data points.</li>
            <li>mnist.validation.images for inputs.</li>
            <li>mnist.validation.labels for outputs.</li>
        </ul>        
    </li>
    <li>Test (mnist.test): the model does not have access to this informations prior to the test phase. It is used to evaluate the performance and accuracy of the model against "real life situations". No further optimization beyond this point.
        <ul>
            <li>10,000 data points.</li>
            <li>mnist.test.images for inputs.</li>
            <li>mnist.test.labels for outputs.</li>
        </ul>         
    </li>
</ul>
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<h3>Creating an interactive section</h3>
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<p>You have two basic options when using TensorFlow to run your code:</p>
<ul>
    <li>[Build graphs and run session] Do all the set-up and THEN execute a session to evaluate tensors and run operations (ops).</li>
    <li>[Interactive session] create your coding and run on the fly.</li>
</ul><p>For this first part, we will use the interactive session that is more suitable for environments like Jupyter notebooks.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">config</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">ConfigProto</span><span class="p">()</span>
<span class="n">config</span><span class="o">.</span><span class="n">gpu_options</span><span class="o">.</span><span class="n">allow_growth</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">config</span><span class="o">.</span><span class="n">log_device_placement</span> <span class="o">=</span> <span class="kc">True</span>
<span class="n">sess</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Session</span><span class="p">(</span><span class="n">config</span><span class="o">=</span><span class="n">config</span><span class="p">)</span>
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<h3>Creating placeholders</h3>
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<p>It's a best practice to create placeholders before variable assignments when using TensorFlow. Here we'll create placeholders for inputs ("Xs") and outputs ("Ys").</p>
<p><b>Placeholder 'X':</b> represents the "space" allocated input or the images.</p>
<ul>
    <li>Each input has 784 pixels distributed by a 28 width x 28 height matrix.</li>
    <li>The 'shape' argument defines the tensor size by its dimensions.</li>
    <li>1st dimension = None. Indicates that the batch size, can be of any size.</li>
    <li>2nd dimension = 784. Indicates the number of pixels on a single flattened MNIST image.</li> 
</ul><p><b>Placeholder 'Y':</b> represents the final output or the labels.</p>
<ul>
    <li>10 possible classes (0, 1, 2, 3, 4, 5, 6, 7, 8, 9).</li>
    <li>The 'shape' argument defines the tensor size by its dimensions.</li>
    <li>1st dimension = None. Indicates that the batch size, can be of any size.</li>
    <li>2nd dimension = 10. Indicates the number of targets/outcomes.</li> 
</ul><p><b>dtype for both placeholders:</b> if you not sure, use tf.float32. The limitation here is that the later presented softmax function only accepts float32 or float64 dtypes. For more dtypes, check TensorFlow's documentation <a href="https://www.tensorflow.org/api_docs/python/tf/dtypes/DType">here</a>.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x</span>  <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="mi">784</span><span class="p">])</span>
<span class="n">y_</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="mi">10</span><span class="p">])</span>
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<h3>Convolutional neural networks (CNNs)</h3><p>Convolutional neural networks (CNNs) is a type of feed-forward neural network, consist of multiple layers of  neurons that have learnable weights and biases. Each neuron in a layer that receives some input, process it, and optionally follows it with a non-linearity. The network has multiple layers such as convolution, max pool, drop out and fully connected layers. In each layer, small neurons process portions of the input image. The outputs of these collections are then tiled so that their input regions overlap, to obtain a higher-resolution representation of the original image; and it is repeated for every such layer. The important point here is: CNNs are able to break the complex patterns down into a series of simpler patterns, through multiple layers.</p><p><h3>CNN architecture</h3></p>
<p>In the first part, we learned how to use a simple CNN to classify MNIST. Now we are going to expand our knowledge using a Deep Neural Network.</p><p>Architecture of our network is:</p>
<ul> 
    <li>(Input) -> [batch_size, 28, 28, 1]  >> Apply 32 filter of [5x5]</li>
    <li>(Convolutional layer 1)  -> [batch_size, 28, 28, 32]</li>
    <li>(ReLU 1)  -> [?, 28, 28, 32]</li>
    <li>(Max pooling 1) -> [?, 14, 14, 32]</li>
    <li>(Convolutional layer 2)  -> [?, 14, 14, 64]</li>
    <li>(ReLU 2)  -> [?, 14, 14, 64]</li>
    <li>(Max pooling 2)  -> [?, 7, 7, 64]</li>
    <li>[fully connected layer 3] -> [1x1024]</li>
    <li>[ReLU 3]  -> [1x1024]</li>
    <li>[Drop out]  -> [1x1024]</li>
    <li>[fully connected layer 4] -> [1x10]</li>
</ul><p>The next cells will explore this new architecture.</p>

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<h3>Initial parameters</h3>
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<p>Create general parameters for the model</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">width</span> <span class="o">=</span> <span class="mi">28</span> <span class="c1"># width of the image in pixels </span>
<span class="n">height</span> <span class="o">=</span> <span class="mi">28</span> <span class="c1"># height of the image in pixels</span>
<span class="n">flat</span> <span class="o">=</span> <span class="n">width</span> <span class="o">*</span> <span class="n">height</span> <span class="c1"># number of pixels in one image </span>
<span class="n">class_output</span> <span class="o">=</span> <span class="mi">10</span> <span class="c1"># number of possible classifications for the problem</span>
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<h3>Input and output</h3>
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<p>Create place holders for inputs and outputs</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x</span>  <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="n">flat</span><span class="p">])</span>
<span class="n">y_</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">placeholder</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="kc">None</span><span class="p">,</span> <span class="n">class_output</span><span class="p">])</span>
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<h4>Converting images of the data set to tensors</h4>
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<p>The input image is a 28 pixels by 28 pixels, 1 channel (grayscale). In this case, the first dimension is the <b>batch number</b> of the image, and can be of any size (so we set it to -1). The second and third dimensions are width and hight, and the last one is the image channels.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">x_image</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">x</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span><span class="mi">28</span><span class="p">,</span><span class="mi">28</span><span class="p">,</span><span class="mi">1</span><span class="p">])</span>  
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<pre>&lt;tf.Tensor &#39;Reshape:0&#39; shape=(?, 28, 28, 1) dtype=float32&gt;</pre>
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<h3>Convolutional Layer 1</h3>
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<p><h4>Defining kernel weight and bias</h4></p>
<p>We define a kernel here. The Size of the filter/kernel is 5x5; Input channels is 1 (grayscale);  and we need 32 different feature maps (here, 32 feature maps means 32 different filters are applied on each image. So, the output of convolution layer would be 28x28x32). In this step, we create a filter / kernel tensor of shape <code>[filter_height, filter_width, in_channels, out_channels]</code>.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">W_conv1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">([</span><span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">32</span><span class="p">],</span> <span class="n">stddev</span><span class="o">=</span><span class="mf">0.1</span><span class="p">))</span>
<span class="n">b_conv1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">constant</span><span class="p">(</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="mi">32</span><span class="p">]))</span> <span class="c1"># need 32 biases for 32 outputs</span>
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<p><img src="https://ibm.box.com/shared/static/vn26neef1nnv2oxn5cb3uueowcawhkgb.png" style="width:800px; height:400px;" alt="HTML5 Icon" ></p>
<h4>Convolve with weight tensor and add biases.</h4><p>To create convolutional layers, we use <b>tf.nn.conv2d</b>. It computes a 2-D convolution given 4-D input and filter tensors.</p><p>Inputs:</p>
<ul>
    <li>Tensor of shape [batch, in_height, in_width, in_channels]. x of shape [batch_size,28 ,28, 1].</li>
    <li>A filter / kernel tensor of shape [filter_height, filter_width, in_channels, out_channels]. W is of size [5, 5, 1, 32].</li>
    <li>Stride which is  [1, 1, 1, 1]. The convolutional layer, slides the "kernel window" across the input tensor. As the input tensor has 4 dimensions:  [batch, height, width, channels], then the convolution operates on a 2D window on the height and width dimensions. <b>strides</b> determines how much the window shifts by in each of the dimensions. As the first and last dimensions are related to batch and channels, we set the stride to 1. But for second and third dimension, we could set other values, e.g. [1, 2, 2, 1].</li>
</ul><p>Process:</p>
<ul>
    <li>Change the filter to a 2-D matrix with shape [5*5*1, 32].</li>
    <li>Extracts image patches from the input tensor to form a <i>virtual</i> tensor of shape <code>[batch, 28, 28, 5*5*1]</code>.</li>
    <li>For each batch, right-multiplies the filter matrix and the image vector.</li>
</ul><p>Output:</p>
<ul>
    <li>A <code>Tensor</code> (a 2-D convolution) of size (?, 28, 28, 32).</li>
    <li>Notice: the output of the first convolution layer is 32 [28x28] images. Here 32 is considered as volume/depth of the output image.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">convolve1</span><span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">conv2d</span><span class="p">(</span><span class="n">x_image</span><span class="p">,</span> <span class="n">W_conv1</span><span class="p">,</span> <span class="n">strides</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;SAME&#39;</span><span class="p">)</span> <span class="o">+</span> <span class="n">b_conv1</span>
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<h4>Apply the ReLU activation Function</h4>
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<p>In this step, we just go through all outputs convolution layer, <b>convolve1</b>, and wherever a negative number occurs,we swap it out for a 0. It is called ReLU activation Function.<br> Let f(x) is a ReLU activation function $f(x) = max(0,x)$.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">h_conv1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">convolve1</span><span class="p">)</span>
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<h4>Apply the max pooling</h4>
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<p><b>max pooling</b> is a form of non-linear down-sampling. It partitions the input image into a set of rectangles and, and then find the maximum value for that region.</p><p>Lets use <b>tf.nn.max_pool</b> function to perform max pooling. 
<b>Kernel size:</b> 2x2 (if the window is a 2x2 matrix, it would result in one output pixel).</p><p><b>Strides:</b> dictates the sliding behaviour of the kernel. In this case it will move 2 pixels everytime, thus not overlapping. The input is a matrix of size 28x28x32, and the output would be a matrix of size 14x14x32.</p><p><img src="https://ibm.box.com/shared/static/kmaja90mn3aud9mro9cn8pbbg1h5pejy.png" alt="HTML5 Icon" style="width:800px; height:400px;"></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">conv1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">max_pool</span><span class="p">(</span><span class="n">h_conv1</span><span class="p">,</span> <span class="n">ksize</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">strides</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;SAME&#39;</span><span class="p">)</span> <span class="c1">#max_pool_2x2</span>
<span class="n">conv1</span>
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<pre>&lt;tf.Tensor &#39;MaxPool:0&#39; shape=(?, 14, 14, 32) dtype=float32&gt;</pre>
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<p>First layer completed</p>

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<p><h3>Convolutional Layer 2</h3></p>
<h4>Weights and Biases of kernels</h4>
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<p>We apply the convolution again in this layer. Lets look at the second layer kernel:</p>
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    <li>Filter/kernel: 5x5 (25 pixels).</li>
    <li>Input channels: 32 (from the 1st Conv layer, we had 32 feature maps).</li>
    <li>64 output feature maps.</li>
</ul><p><b>Notice:</b> here, the input image is [14x14x32], the filter is [5x5x32], we use 64 filters of size [5x5x32], and the output of the convolutional layer would be 64 convolved image, [14x14x64].</p><p><b>Notice:</b> the convolution result of applying a filter of size [5x5x32] on image of size [14x14x32] is an image of size [14x14x1], that is, the convolution is functioning on volume.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">W_conv2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">([</span><span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="mi">32</span><span class="p">,</span> <span class="mi">64</span><span class="p">],</span> <span class="n">stddev</span><span class="o">=</span><span class="mf">0.1</span><span class="p">))</span>
<span class="n">b_conv2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">constant</span><span class="p">(</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="mi">64</span><span class="p">]))</span> <span class="c1">#need 64 biases for 64 outputs</span>
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<h4>Convolve image with weight tensor and add biases.</h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">convolve2</span><span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">conv2d</span><span class="p">(</span><span class="n">conv1</span><span class="p">,</span> <span class="n">W_conv2</span><span class="p">,</span> <span class="n">strides</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;SAME&#39;</span><span class="p">)</span><span class="o">+</span> <span class="n">b_conv2</span>
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<h4>Apply the ReLU activation Function</h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">h_conv2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">convolve2</span><span class="p">)</span>
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<h4>Apply the max pooling</h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">conv2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">max_pool</span><span class="p">(</span><span class="n">h_conv2</span><span class="p">,</span> <span class="n">ksize</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">strides</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="mi">1</span><span class="p">],</span> <span class="n">padding</span><span class="o">=</span><span class="s1">&#39;SAME&#39;</span><span class="p">)</span> <span class="c1">#max_pool_2x2</span>
<span class="n">conv2</span>
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<pre>&lt;tf.Tensor &#39;MaxPool_1:0&#39; shape=(?, 7, 7, 64) dtype=float32&gt;</pre>
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<p>Second layer completed. So, what is the output of the second layer, layer2?</p>
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    <li>It is 64 matrix of [7x7].</li>
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<h3>Fully Connected Layer</h3>
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<p>You need a fully connected layer to use the Softmax and create the probabilities in the end. Fully connected layers take the high-level filtered images from previous layer, that is all 64 matrices, and convert them to a flat array.</p><p>So, each matrix [7x7] will be converted to a matrix of [49x1], and then all of the 64 matrix will be connected, which make an array of size [3136x1]. We will connect it into another layer of size [1024x1]. So, the weight between these 2 layers will be [3136x1024].</p><p><img src="https://ibm.box.com/shared/static/pr9mnirmlrzm2bitf1d4jj389hyvv7ey.png" alt="HTML5 Icon" style="width:800px; height:400px;"></p>

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<h4>Flattening Second Layer</h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">layer2_matrix</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">conv2</span><span class="p">,</span> <span class="p">[</span><span class="o">-</span><span class="mi">1</span><span class="p">,</span> <span class="mi">7</span><span class="o">*</span><span class="mi">7</span><span class="o">*</span><span class="mi">64</span><span class="p">])</span>
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<h4>Weights and Biases between layer 2 and 3</h4>
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<p>Composition of the feature map from the last layer (7x7) multiplied by the number of feature maps (64); 1027 outputs to Softmax layer.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">W_fc1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">([</span><span class="mi">7</span> <span class="o">*</span> <span class="mi">7</span> <span class="o">*</span> <span class="mi">64</span><span class="p">,</span> <span class="mi">1024</span><span class="p">],</span> <span class="n">stddev</span><span class="o">=</span><span class="mf">0.1</span><span class="p">))</span>
<span class="n">b_fc1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">constant</span><span class="p">(</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="mi">1024</span><span class="p">]))</span> <span class="c1"># need 1024 biases for 1024 outputs</span>
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<h4>Matrix Multiplication (applying weights and biases)</h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fcl</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">layer2_matrix</span><span class="p">,</span> <span class="n">W_fc1</span><span class="p">)</span> <span class="o">+</span> <span class="n">b_fc1</span>
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<h4>Apply the ReLU activation Function</h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">h_fc1</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">relu</span><span class="p">(</span><span class="n">fcl</span><span class="p">)</span>
<span class="n">h_fc1</span>
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<pre>&lt;tf.Tensor &#39;Relu_2:0&#39; shape=(?, 1024) dtype=float32&gt;</pre>
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<p>Third layer completed</p>

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<h4>Dropout Layer, Optional phase for reducing overfitting</h4>
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<p>It is a phase where the network "forget" some features. At each training step in a mini-batch, some units get switched off randomly so that it will not interact with the network. That is, it weights cannot be updated, nor affect the learning of the other network nodes.  This can be very useful for very large neural networks to prevent overfitting.</p>
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<span class="n">layer_drop</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">nn</span><span class="o">.</span><span class="n">dropout</span><span class="p">(</span><span class="n">h_fc1</span><span class="p">,</span> <span class="n">keep_prob</span><span class="p">)</span>
<span class="n">layer_drop</span>
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<pre>&lt;tf.Tensor &#39;dropout/mul:0&#39; shape=(?, 1024) dtype=float32&gt;</pre>
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<h4>Readout Layer (Softmax Layer)</h4>
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<p>Type: Softmax, Fully Connected Layer.</p>

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<h4>Weights and Biases</h4>
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<p><p>In last layer, CNN takes the high-level filtered images and translate them into votes using softmax.
Input channels: 1024 (neurons from the 3rd Layer); 10 output features.<p></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">W_fc2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">truncated_normal</span><span class="p">([</span><span class="mi">1024</span><span class="p">,</span> <span class="mi">10</span><span class="p">],</span> <span class="n">stddev</span><span class="o">=</span><span class="mf">0.1</span><span class="p">))</span> <span class="c1">#1024 neurons</span>
<span class="n">b_fc2</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">Variable</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">constant</span><span class="p">(</span><span class="mf">0.1</span><span class="p">,</span> <span class="n">shape</span><span class="o">=</span><span class="p">[</span><span class="mi">10</span><span class="p">]))</span> <span class="c1"># 10 possibilities for digits [0,1,2,3,4,5,6,7,8,9]</span>
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<h4>Matrix Multiplication (applying weights and biases)</h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fc</span><span class="o">=</span><span class="n">tf</span><span class="o">.</span><span class="n">matmul</span><span class="p">(</span><span class="n">layer_drop</span><span class="p">,</span> <span class="n">W_fc2</span><span class="p">)</span> <span class="o">+</span> <span class="n">b_fc2</span>
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<p><h4>Apply the Softmax activation Function</h4>
<b>softmax</b> allows us to interpret the outputs of <b>fcl4</b> as probabilities. So, <b>y_conv</b> is a tensor of probabilities.</p>

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<span class="n">y_CNN</span>
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<pre>&lt;tf.Tensor &#39;Softmax:0&#39; shape=(?, 10) dtype=float32&gt;</pre>
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<p><h2 id="summary_CNN">Summary of the Deep Convolutional Neural Network</h2>
Now is time to remember the structure of  our network</p>
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    <li>Input - MNIST dataset</li>
    <li>Convolutional and Max-Pooling</li>
    <li>Convolutional and Max-Pooling</li>
    <li>Fully Connected Layer</li>
    <li>Processing - Dropout</li>
    <li>Readout layer - Fully Connected</li>
    <li>Outputs - Classified digits</li>
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<h2 id="train_model">Define functions and train the model</h2>
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<h4>Define the loss function</h4><p>We need to compare our output, layer4 tensor, with ground truth for all mini_batch. we can use <b>cross entropy</b> to see how bad our CNN is working - to measure the error at a softmax layer.</p><p>The following code shows an toy sample of cross-entropy for a mini-batch of size 2 which its items have been classified. You can run it (first change the cell type to <b>code</b> in the toolbar) to see how cross entropy changes.</p>
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</div>import numpy as np
layer4_test =[[0.9, 0.1, 0.1],[0.9, 0.1, 0.1]]
y_test=[[1.0, 0.0, 0.0],[1.0, 0.0, 0.0]]
np.mean( -np.sum(y_test * np.log(layer4_test),1))
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<p><b>reduce_sum</b> computes the sum of elements of <b>(y_ * tf.log(layer4)</b> across second dimension of the tensor, and <b>reduce_mean</b> computes the mean of all elements in the tensor.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">cross_entropy</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="o">-</span><span class="n">tf</span><span class="o">.</span><span class="n">reduce_sum</span><span class="p">(</span><span class="n">y_</span> <span class="o">*</span> <span class="n">tf</span><span class="o">.</span><span class="n">log</span><span class="p">(</span><span class="n">y_CNN</span><span class="p">),</span> <span class="n">reduction_indices</span><span class="o">=</span><span class="p">[</span><span class="mi">1</span><span class="p">]))</span>
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<h4>Define the optimizer</h4><p>It is obvious that we want minimize the error of our network which is calculated by cross_entropy metric. To solve the problem, we have to compute gradients for the loss (which is minimizing the cross-entropy) and apply gradients to variables. It will be done by an optimizer: GradientDescent or Adagrad.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">train_step</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">AdamOptimizer</span><span class="p">(</span><span class="mf">1e-4</span><span class="p">)</span><span class="o">.</span><span class="n">minimize</span><span class="p">(</span><span class="n">cross_entropy</span><span class="p">)</span>
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<p><h4>Define prediction</h4>
Do you want to know how many of the cases in a mini-batch has been classified correctly? lets count them.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">correct_prediction</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">equal</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">y_CNN</span><span class="p">,</span><span class="mi">1</span><span class="p">),</span> <span class="n">tf</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="n">y_</span><span class="p">,</span><span class="mi">1</span><span class="p">))</span>
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<p><h4>Define accuracy</h4>
It makes more sense to report accuracy using average of correct cases.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">accuracy</span> <span class="o">=</span> <span class="n">tf</span><span class="o">.</span><span class="n">reduce_mean</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">cast</span><span class="p">(</span><span class="n">correct_prediction</span><span class="p">,</span> <span class="n">tf</span><span class="o">.</span><span class="n">float32</span><span class="p">))</span>
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<h4>Run session, train</h4>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">global_variables_initializer</span><span class="p">())</span>
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<font size="3"><strong><p>Notice: You are running this notebook on IBM PowerAI, so some TensorFlow operations will automatically be run on a GPU, otherwise it will use a CPU.<p>

<p>As you can see from the learning process of model on PowerAI, running time for each batch is around 0.04 second, and the model reach to around 0.99% accuracy after 2k steps.</p></strong></font>
<br>

What is PowerAI?

<p>Running deep learning programs usually needs a high performance platform. PowerAI speeds up deep learning and AI. Built on IBM's Power Systems, PowerAI is a scalable software platform that accelerates deep learning and AI with blazing performance for individual users or enterprises. The PowerAI platform supports popular machine learning libraries and dependencies including TensorFlow, Caffe, PyTorch, and Theano. You can download a <a href="https://cocl.us/ML0120EN_PAI">free version of PowerAI</a>.</p>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">time</span>
<span class="n">globaltimerstart</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">5000</span><span class="p">):</span>
    <span class="n">start</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
    <span class="n">batch</span> <span class="o">=</span> <span class="n">mnist</span><span class="o">.</span><span class="n">train</span><span class="o">.</span><span class="n">next_batch</span><span class="p">(</span><span class="mi">512</span><span class="p">)</span>
    <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">train_step</span><span class="p">,</span><span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span> <span class="n">batch</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">y_</span><span class="p">:</span> <span class="n">batch</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">keep_prob</span><span class="p">:</span> <span class="mf">0.5</span><span class="p">})</span>
    <span class="n">globaltimerend</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
    <span class="n">end</span> <span class="o">=</span> <span class="n">time</span><span class="o">.</span><span class="n">time</span><span class="p">()</span>
    <span class="k">if</span> <span class="n">i</span><span class="o">%</span><span class="k">1000</span> == 0:
        <span class="n">train_accuracy</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">accuracy</span><span class="p">,</span><span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span><span class="n">batch</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">y_</span><span class="p">:</span> <span class="n">batch</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">keep_prob</span><span class="p">:</span> <span class="mf">1.0</span><span class="p">})</span>
        <span class="nb">print</span><span class="p">(</span><span class="s2">&quot;step&quot;</span><span class="p">,</span> <span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">),</span> <span class="s2">&quot;, training accuracy&quot;</span><span class="p">,</span> <span class="s2">&quot;</span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">train_accuracy</span><span class="p">),</span><span class="s2">&quot;, B_time=&quot;</span> <span class="p">,</span> <span class="s2">&quot;</span><span class="si">{:.3f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">end</span> <span class="o">-</span> <span class="n">start</span><span class="p">)</span> <span class="p">)</span>              
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<pre>step 0 , training accuracy 0.084 , B_time= 1.736
step 1000 , training accuracy 0.982 , B_time= 0.035
step 2000 , training accuracy 0.990 , B_time= 0.036
step 3000 , training accuracy 0.994 , B_time= 0.037
step 4000 , training accuracy 1.000 , B_time= 0.036
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<h2 id="evaluate_model">Evaluate the model</h2>
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<p><p>Print the evaluation to the user with sess.as_default():</p>
    <code>print("test accuracy %g"%accuracy.eval(feed_dict={x: mnist.test.images, y_: mnist.test.labels, keep_prob: 1.0}))</code></p>

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<h3>Visualization</h3>
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<p>Do you want to look at all the filters?</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">kernels</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">tf</span><span class="o">.</span><span class="n">transpose</span><span class="p">(</span><span class="n">W_conv1</span><span class="p">,</span> <span class="n">perm</span><span class="o">=</span><span class="p">[</span><span class="mi">2</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span><span class="mi">1</span><span class="p">]),[</span><span class="mi">32</span><span class="p">,</span><span class="o">-</span><span class="mi">1</span><span class="p">]))</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="o">!</span>wget --output-document utils1.py http://deeplearning.net/tutorial/code/utils.py
<span class="kn">import</span> <span class="nn">utils1</span>
<span class="kn">from</span> <span class="nn">utils1</span> <span class="k">import</span> <span class="n">tile_raster_images</span>
<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">from</span> <span class="nn">PIL</span> <span class="k">import</span> <span class="n">Image</span>
<span class="o">%</span><span class="k">matplotlib</span> inline
<span class="n">image</span> <span class="o">=</span> <span class="n">Image</span><span class="o">.</span><span class="n">fromarray</span><span class="p">(</span><span class="n">tile_raster_images</span><span class="p">(</span><span class="n">kernels</span><span class="p">,</span> <span class="n">img_shape</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">)</span> <span class="p">,</span><span class="n">tile_shape</span><span class="o">=</span><span class="p">(</span><span class="mi">4</span><span class="p">,</span> <span class="mi">8</span><span class="p">),</span> <span class="n">tile_spacing</span><span class="o">=</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">)))</span>
<span class="c1">### Plot image</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;figure.figsize&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mf">18.0</span><span class="p">,</span> <span class="mf">18.0</span><span class="p">)</span>
<span class="n">imgplot</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">image</span><span class="p">)</span>
<span class="n">imgplot</span><span class="o">.</span><span class="n">set_cmap</span><span class="p">(</span><span class="s1">&#39;gray&#39;</span><span class="p">)</span>  
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<pre>--2018-12-19 09:14:15--  http://deeplearning.net/tutorial/code/utils.py
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<p>Do you want to see the output of an image passing through first convolution layer?</p>

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<div class="prompt input_prompt">In&nbsp;[31]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="n">plt</span><span class="o">.</span><span class="n">rcParams</span><span class="p">[</span><span class="s1">&#39;figure.figsize&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="p">(</span><span class="mf">5.0</span><span class="p">,</span> <span class="mf">5.0</span><span class="p">)</span>
<span class="n">sampleimage</span> <span class="o">=</span> <span class="n">mnist</span><span class="o">.</span><span class="n">test</span><span class="o">.</span><span class="n">images</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">sampleimage</span><span class="p">,[</span><span class="mi">28</span><span class="p">,</span><span class="mi">28</span><span class="p">]),</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;gray&quot;</span><span class="p">)</span>
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<div class="prompt output_prompt">Out[31]:</div>


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<pre>&lt;matplotlib.image.AxesImage at 0x3effec2d7438&gt;</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ActivatedUnits</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">convolve1</span><span class="p">,</span><span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">sampleimage</span><span class="p">,[</span><span class="mi">1</span><span class="p">,</span><span class="mi">784</span><span class="p">],</span><span class="n">order</span><span class="o">=</span><span class="s1">&#39;F&#39;</span><span class="p">),</span><span class="n">keep_prob</span><span class="p">:</span><span class="mf">1.0</span><span class="p">})</span>
<span class="n">filters</span> <span class="o">=</span> <span class="n">ActivatedUnits</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span><span class="mi">20</span><span class="p">))</span>
<span class="n">n_columns</span> <span class="o">=</span> <span class="mi">6</span>
<span class="n">n_rows</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">filters</span> <span class="o">/</span> <span class="n">n_columns</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">filters</span><span class="p">):</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="n">n_rows</span><span class="p">,</span> <span class="n">n_columns</span><span class="p">,</span> <span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Filter &#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">))</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">ActivatedUnits</span><span class="p">[</span><span class="mi">0</span><span class="p">,:,:,</span><span class="n">i</span><span class="p">],</span> <span class="n">interpolation</span><span class="o">=</span><span class="s2">&quot;nearest&quot;</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;gray&quot;</span><span class="p">)</span>
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//oAIPq/cmTJzdtA4FhNODzHpdRBJTQoNZ+l0UH9Kee8F/nryR9TtLv1v77nYZtUQOlgZDX4sJ/08AwF0rkTri2bduW1TZv3lwYu6Bft60u5GvFihWFsbvY5YKd0FBt3//1Br+5kNS0992/+KZBvJLk3nzPmlX8xOexY8eyOTt27MhqR48ezWppAGQa0C0RANkEbd/7Uv194OalgZIuhP2NN97Iaq+++mpW2759e2G8cuXKbE4a6H6t73n8+PHC2IXgpWHbaKhS9H7av5IPQHXnPfXsNy6YPQ3MlvLjxrRp07I57hyqnmOLO765nwcNVYr+T7medr3y4Q9/uDB2n/Z54YUXspo73073N3ee7vaZ9HghSUuWLCmM58yZk81JA4LRcKXofReCW28tDZ52+828efOy2p133pnVFi1aVBi7fck9CMG9P0jnuddyDxAps3oel/3nkp6XdFMI4UAI4R+ptzk/EkLYIekjtTHQceh/VBW9j6qi91Fl9D+qit5Hq/X7Twwxxs9c47c+1OBtAdoO/Y+qovdRVfQ+qoz+R1XR+2g1PvcPAAAAAADQIlyYAQAAAAAAaBHS0iTNnj07q505c6YwnjFjRjZn69atddU2btxYGLtwvtWrV2e1O+64I6ulwV8u9Mi9PuC4ILm0910Q7/3331/Xa40ePbowfvPNN7M5ruaCfdPa2LFjszkhhKwGXMvMmTOzWrrW7969O5vz3HPPZbWnn346q6VhvJ/+9KezOTfccENWc09zeP755wtjF5JK/6NeaTC7lJ9PpIHT16rt37+/3+/n+twFTLrzsTTsl6f9YChuv/32rLZgwYLC+Ec/6SJLdQAAIABJREFU+lE258UXX8xq586dy2rpMSQ9D5J8+K8Lb1++fHlh7IKvOefHQPT09GS19Dy/q6srm+PO+++9996slp6/uOPDzp0769qu9JHj7qEHndb/fGIGAAAAAACgRbgwAwAAAAAA0CJcmAEAAAAAAGgRLswAAAAAAAC0SOXCfydMmJDV3n333ayWBitOmTIlm7Nt27aslgY0StJTTz1VGLug37vvvjurrVy5MquNHFn8K0uDkYBrcb3fSMeOHctqe/fuLYzd/uFCTOsJRHXBkcC1uMBQFyCdhkB+85vfzOakge6SdOrUqaz2qU99qjB2AdmTJk3Kaps2bcpqqfRYAFyLW/td/1y+fLkw3rJlSzbnyJEjWc31/vz58wtjF0ztgn7rWdfpfdRr2rRpWe2BBx7Iai+88EJh/Prrr2dz3Pp99uzZrJae02zYsCGbk54bSdKdd96Z1dKHHpw8eTKbA1zL22+/ndUOHTqU1dL3uIsWLcrmvO9978tqLiT44MGDhfGuXbuyOd3d3Vnt/PnzWe3ChQuF8ZUrV7I5nYZ3NgAAAAAAAC3ChRkAAAAAAIAW4cIMAAAAAABAi3T0jbojRozIahMnTsxq7r629J7s9evXZ3PefPPNrJbeWyfl9+rdf//92Zwbb7wxq7n7qN95552sBqTcffqTJ0/OakePHs1qM2bMKIxdJpK7b9tlLm3durUwdve2LlmyJKuNGjUqq7n9GXDq7X+XcfHaa68Vxtu3b8/muMwAl1twzz33FMYzZ87M5uzZsyernThxIqu5LCYg5dZJ1/tpnowk9fT0FMYul8kdM9I8GUm6/vrrC2OXDTB69OisdvXq1azmtgNIuXPmO+64I6u59wG7d+8ujF0Ghjv/dhlh6frtcplchse8efOymstvAhy3dqZruuTf86bvQd35zKpVq7Ka6+0DBw4Uxi5PyWXfuJrLgO10fGIGAAAAAACgRbgwAwAAAAAA0CJcmAEAAAAAAGiRfi/MhBC+GkI4EkLY3Kf22yGE7hDCxtqvjw/vZgKtQf+jquh9VBW9jyqj/1FV9D5arZ7w33WS/lDSnyT1P4gx/n7Dt6iB6g28mzJlSlZLg+pefPHFbM5LL72U1VyQ45133lkY33LLLdkcFwrpQo9ijFkNw2qdStj/rqdd79cTvuiCeF2YlwvDTsN/Z82alc1x+6n7niGErIZhtU4l7H3JBzK6fWLMmDFZLQ32TcOAJb9e33333VktDdJ24Xw7d+7Mai6ckv5vqnXqoN536+mFCxey2v79+wtjF/TrgiNdiHYalLpixYpszqVLl7Ka2356v+nWqYT97x4ksGbNmqz27LPPZrVjx44Vxi5sfezYsVntzJkz/dZOnjyZzUmD4SUffso5f9OtUwl7X/JB0S78162xafjvXXfdVdfXpef4Uv7AhHPnzmVzXJC2Ox5Usf/7/cRMjPFpSfkjIoAKoP9RVfQ+qoreR5XR/6gqeh+tNpSMmV8JIWyqfexr6rUmhRAeCSGsDyGsd1eNgZLqt//79r77V0agpAa89tP/6BAD7v3Tp083c/uA4TSg8x73CRCgpAa89rtPgAD9GeyFmT+StEzSakmHJP37a02MMT4aY1wbY1w7deo1exkok7r6v2/vT5gwoZnbBwyXQa399D86wKB6392qCZTQgM97xo0b18ztA4bLoNZ+d6s00J9BXZiJMfbEGK/EGK9K+rKk9zV2s4D2Rf+jquh9VBW9jyqj/1FV9D6aqZ7w30wIoSvGeKg2/DlJm99rfqu4q/UuHMl9kuexxx4rjHfs2JHN2bZtW1Zz4aarV68ujBcvXpzNcVdW+RhceypD/7vedx+pv/7667PaggULCuOLFy9mc1zNhYylYafTp0/P5rh/USbssT2VofclH57b1dWV1dKgX0nasmVLYezW+YceeiirTZs2LauloatpuKokjRyZH4avu24odxljOJSl911oab3rdfrAARdM7frcvX4aCOzWdHfeQ++3pzL0/wMPPJDV3G20adCvlK/7N910UzbHhWG7h3Q8//zzhfEdd9yRzXHnXu79CVqvDL0v+TXdhefOmzcvq33kIx8pjN35kosjqec44m5pdOHzVQz6dfq9MBNC+HNJH5A0I4RwQNJvSfpACGG1pChpj6RfGsZtBFqG/kdV0fuoKnofVUb/o6rofbRavxdmYoyfMeWvDMO2AG2H/kdV0fuoKnofVUb/o6rofbQanxkFAAAAAABoES7MAAAAAAAAtMigwn/LwoV+uUBdFzh06NChwvjIkSPZHBewmgb9SnmImHt07OXLl7OakwbjuaA8FyZZT8DqlClTsjnuz8sFoKV/hi5cbfTo0VkNw8P1/qRJk7LajBkzstqiRYsK43379mVz0qA8SXrjjTeyWhpwN5Sg03SeC5N0NRfunb6W+/MaMWJEVnNBZ++8805h7IJnr1y5ktUwfFwfuLVs48aNWa27u7swnjNnTjbnJ3/yJ7PakiVLstrYsWP7/X5uv6y3t1NuX3LrerpdaUi3myNJZ86cyWppiJ/bb9LwP8K9h4/7O3KhosePH+/3tWbOnJnVFi5cmNVcsHwa/ut6zAWg1sP1WBq0Lfm1Pz1vc/ufey0X3H3u3LnC2IVjpr3PsWD4rFixIqt95zvfyWruXDT9e3L7h+uL9HghSbfddlth7PaZs2fPZrV6zufdfuS+bu7cuVktfZ/h1mF3LuS2Nf2zcNvl9i0MH/d3N3/+/KyWPuBDklatWlUYu8Bed/7rHoyTvv9zr1Xvw23qWS/dHHccTP98XM+6tcHV0pB9tzakofj1rv18YgYAAAAAAKBFuDADAAAAAADQIlyYAQAAAAAAaJGOzphxuS3unjKXh5Lee+le6/77789qn/zkJ7PaRz/60cL43Xffzea4e/DSe/elPL/C3fvm7tt294i67Ui5n7ue+1LdvY7u58HwmDZtWlZz99u7/Iz0nuY0Q0XymQU33nhjVrvhhhsK43p6TvI9nGYzuWwotx+52okTJwpj9zO6jA23fqT7g9snydRoLne/7/bt27OayxFIszG+8IUvZHPc2r9y5cqs9tprrxXGd999dzbH9bHLYkqzMdwcdw+z68c0d8at125fdX184MCBwtjtN+nP6H5mNIY71h88eDCruXyxtC9cv7qMvFmzZmW1tD/ddjluLU572GXmuWOG67P0vn/X+24/ct8zzZhx6046h94fPu5c3mVZdHV1ZbWHHnqo39d35z0ud+PBBx8sjF1vujyiMWPGZLU0n8ZlZ7h1ed68ef3Oc+f3rs//+I//OKuluVJuXUizOjG83DnB4sWLs9qyZcuyWrrmPfvss9kcdw71zDPPZLV0rXdrnstFcn2c7nPu69x5eT25re5Y49Z+ty+l+UnTp0/P5qQ/T71rP5+YAQAAAAAAaBEuzAAAAAAAALQIF2YAAAAAAABahAszAAAAAAAALdLR4b8ueMqFa7kQrjSo1gWIuTDVNBBLkjZt2lQYu4CjegON0rBKF+zouMCwNKApDcWTpKNHj9b1WiNGjCiM3Z9XGpaE4XPTTTdlNReCm4ZJS9ITTzxRGG/YsCGb88ILL2S1RYsWZbU0CNSF4Lm+cMFdacioC251gaXutdLeT4NVJb9PuloafOkCxVwoJIaPC/RMA5+lfN2S8mA8F2rtvu6ll17Kam+99VZh7IJx3brrjlNpb7uQRhew7vaTJ598sjB24bCHDx/Oak7a7+5nXLVqVWHsjm1ojHpDduv5O3C9uXXr1qy2dOnSrJae57hjjQurrCd03fX03r17s5o7t0vnuUDX9FjjtkHKzwHdfjt37tzCmCD44ZOea0v+QQjz58/Paj/zMz9TGK9bty6b484l7rvvvqyWhma7fcaFb7s1PQ3VTQO6Jf8+wP3cr776amGcBlNL/tjZ3d2d1fbt21cYu21350sYPulaI/mgX/d3tXv37sLYrZ3pHMm/H0zPtVzorTtPdvPSMF7X6/U+6Cddr93DT9yfoduX0rXerevp9YB69wf2GgAAAAAAgBbhwgwAAAAAAECLcGEGAAAAAACgRfq9MBNCWBBC+NsQwpshhC0hhF+t1aeFEB4PIeyo/TcPXAFKjN5HldH/qCp6H1VF76PK6H+0Wj3hv5cl/XqM8ZUQwkRJG0IIj0v6h5KejDH+bgjhi5K+KOk3hm9TB2779u1ZzQWNumCrNJTOhbq5kD33PdMAXRe85IIWXThSGsbnQktdgJILvkx/RheW5AKg3Lw0fMkF+LmAwDZX2t53IVNpiNa1pGG/f/M3f5PNcQFcLkgu7TvXTy6w1wV3p4Grrg/dvjV79uyslgZ1uT8v9/Ps2bMnqy1cuLAwdkFkbn8ogdL2v1vTd+3aldVcIPb06dML4x/84Ad1fc/HH388q6XB0C4gzoWiun5JQx+3bNmSzdm/f39Wc32c7nMuwC/9c3BfJ0nLly8vjNOgX7cNJQj/LW3vHzt2LKu5v18X+JzOcyG4LhDYScPg3Trswn9dGG/aP24ddvuy2/40kNHta+58L92XJenWW28tjN3PmJ5z0vvD59lnn81q7kEI7u/pyJEjhbE7X3Ln90uWLMlqTz31VGFc74M13LFg/PjxhbFbg91rvfHGG1ktPTdxDyVw7ync66f7qdv/3LlQCZS2/92DClzNvQ9Oz01cCO4dd9yR1RYsWJDV3Lqbcuuue2hM2lfu61yYd3peLuX7l3sYiXt9t1+mx0p3PE3/HNavX5/Ncfr9xEyM8VCM8ZXa/5+V9KakeZIelvS12rSvSfrZur4jUBL0PqqM/kdV0fuoKnofVUb/o9UGlDETQlgsaY2kFyXNjjEeknobWVL+zwm9X/NICGF9CGG9+9dyoAyG2vvuEYRAWdD/qKqh9n76CQ2gLIba++5TFEBZDLX/3SdAgP7UfWEmhHC9pG9K+rUYY/652GuIMT4aY1wbY1ybPkMcKING9P6ECROGbwOBYUT/o6oa0fvu9kqg3TWi991tMUAZNKL/3S2RQH/qujATQhil3gb9Rozxv9XKPSGErtrvd0k6cq2vB8qK3keV0f+oKnofVUXvo8rof7RSv+G/oTcR6CuS3owxfqnPb/2VpM9J+t3af78zLFs4BC7Yx320zAVzpVc6b7jhhrq+zgVupR9ldqFiLkjYBeOloU1pwJ7kg0x3796d1dLwIvf93J+hCztLt8u9Vtn+5bDMve/+rN3fifPggw8Wxq43L1y4kNW2bdvWb82FXLt/VZs3b15WW716dWHsPoVRT2iqJM2cObMwdv+ykYYNS/m+LEn79u0rjF2gngvkbndl7n+3Brrec72drm8uyK6eQF0p30/cfuPCWo8fP97vtrqecr1XzydV77rrrqy2YsWKrDZt2rSslu5L6VjK/wzddraTMve+O2a728jdwwXSefWGFboerie01K277vwo7Re3zrueSrdByvdvt3+4PncBkGmvu9dKA1Db/VhQ5t5/5plnsprrc3ds/4u/+IvC2PWTC1d3QcJp0PycOXOyOW6feeKJJ/qd54K83Tm5C29PQ7PdWu3WChf6mgaubt68OZvjwn/feuutrNZOytz/7rzfPajDnV+n65sLza5XGnDuetb1hjuvSo8R7md053tuDU9/brc2uGsEbr/ftGlTYewe7JCuIW6OU887tfsk/YKk10MIG2u1f6ne5vx/Qgj/SNI+SZ+u6zsC5UHvo8rof1QVvY+qovdRZfQ/WqrfCzMxxmclXesyz4cauzlA+6D3UWX0P6qK3kdV0fuoMvofrTagpzIBAAAAAACgceoLnSgpl6nhHt/nMijSx7u6e9FcZoG7fzi9J87d9+zutXaPmD1ypJg3tWXLlmyOy+xw952n9+C5+27dn6G7X/aWW24pjN19tySUt5a7D9n12Gc+85nC+LbbbsvmdHd31/Va6b2fLj/A3Vfq7sVM7/10GTNdXV1ZzfV1T09PYez63O1Hs2blT0hM8zPcz+jyqJ577rmshsZw9wmna5Tk+3jVqlWFsesDl3Hh7sNP12t3r7Wr3XnnnVktzehw67DLDEizAKT8fnLX/+6+bZeRk97D7u5pT3MS6r3XGgPnck5cXxw8eDCrrV27tjB22Xpu33JZTWkel1sDXWaXywZI1/Bly5Zlc9w5R5p9J+XnX26O631XS/8s3M+Y1urNesPAuWO9O0d25w7pcTvNyZD8e4U0t0XK+2L79u3ZHJcx4/IzFi9eXBi7rCbXwy7D47777iuM3fsCl29WTy6SOx65bcXwcWuU62P3d5z2/8qVK7M5bv9y0nMA93Wu5s6d09dyPeXeQ7jjVJq16o4/7hwnPY+T8qykQ4cOZXPSn8f9fA6fmAEAAAAAAGgRLswAAAAAAAC0CBdmAAAAAAAAWoQLMwAAAAAAAC3S0SlkLqCx3sDeNPDRBae6sCv3PdOaC8pzYUwuSG7BggWFsQv9GjVqVFZzgXPz5s0rjN3PmIZEXuv10z8vN6eeADE0xksvvZTV3v/+92c19/eUhnItWrQom+N63wXjpQFcLnx78+bNWc2FeaXBZi7ozAVMu9rSpUsLY9ebruaCx9KQPRcU7n5uDB8Xsub6IF1P3dfee++92Zx6/z7TNdwF47ogStfb6b569OjRbI5b5933dIHD9XD7ZbqfuGDf9M+BY8HwcWv69OnTs5oLGk2Dg905gQtHdEGL6Troetpx+2naL66n3UMV6vmebtvd+uHW9XSeC7RMz/8Ivh4+t99+e1bbsWNHVkvD/6W8V9w+487JT548mdXSsG33Wun5tySdOHEiq6XvWdzxwtXcdqUhpm49d9w+mR5DXNiwW4swfNzfuQt5dw/qSPeJ9KEWkg+Lruc9r3uAguN6KD3euG0/depUv18n5e+93TmU28fd8SD9s3Zfl671LojZ4RMzAAAAAAAALcKFGQAAAAAAgBbhwgwAAAAAAECLcGEGAAAAAACgRTo6/NeFa7mgIhcclIYQ1Rte5EJ808AhFxB32223ZbXZs2dntXT7XQie21YX3pUGmdYbeuSkX+teC82zc+fOrOaC3lx4dBqC50J93X7k+jXtRfd1y5cvz2puP0r7de/evdmcffv29ft1Uv5n4ULHCGksLxeG6EI+3Vqc9p4LEHXhv67P0h5yAaVuG9y6m9ZcgK97LScNrnOhdPW+1mAQ/jt83J+tW09d+G8aPlpvv7pjRLr2u/XUhYO6ANS0992+nAabSr6v0/3U7d/1BhXXI30tjivDx62bN9xwQ1Zzx/v0mNHd3Z3NcX3e1dWV1dK/c3fu9corr2Q1dz6W7s9u/3b7jAs/TR/m4f4c3HHMBV/XY7Bfh8Fx72XdwzXSkHepvvd67vzdHUfSfcmtw+49ojunSb/W9VQ97xekfL90/T+c5yb1vjafmAEAAAAAAGgRLswAAAAAAAC0SL8XZkIIC0IIfxtCeDOEsCWE8Ku1+m+HELpDCBtrvz4+/JsLNA+9jyqj/1FV9D6qit5HldH/aLV6MmYuS/r1GOMrIYSJkjaEEB6v/d4fxBh/f/g2D2gpeh9VRv+jquh9VBW9jyqj/9FS/V6YiTEeknSo9v9nQwhvSspTdUti+vTpddUGa+HChQ17rcFywZSuhvfWab1/+PDhumpVRCBjrtP63wWg1yMNyh0KF27nasMt7ffhDPoto07rfRc66IIiU63ozeE2cmRHP/NiyDqt913waD2B7i74upFhtm4bXEhwqp799lp4H9C/Tuv/8+fP11WrgnofZtNqA8qYCSEslrRG0ou10q+EEDaFEL4aQshjnoEOQe+jyuh/VBW9j6qi91Fl9D9aoe4LMyGE6yV9U9KvxRjPSPojScskrVbv1cV/f42veySEsD6EsL6R//IINEsjer+qV6hRfvQ/qqoRvX/69OmmbS/QKI3ofT6hgbJqRP9funSpaduLzlHXhZkQwij1Nug3Yoz/TZJijD0xxisxxquSvizpfe5rY4yPxhjXxhjXumenA+2sUb0/YcKE5m000CD0P6qqUb0/efLk5m000ACN6v1x48Y1b6OBBmlU/w/29mlUWz1PZQqSviLpzRjjl/rUu/pM+zlJmxu/eUDr0PuoMvofVUXvo6rofVQZ/Y9WqycF7T5JvyDp9RDCxlrtX0r6TAhhtaQoaY+kXxqWLQRah95HldH/qCp6H1VF76PK6H+0VD1PZXpWkntkyfcavzlA+6D3UWX0P6qK3kdV0fuoMvofrTagpzIBAAAAAACgcbgwAwAAAAAA0CJcmAEAAAAAAGgRLswAAAAAAAC0CBdmAAAAAAAAWoQLMwAAAAAAAC3ChRkAAAAAAIAWCTHG5n2zEI5K2itphqRjTfvGjVfm7W+3bV8UY5zZ6o0Ybn16X2q/v4OBYNsbpxK9L3XM2l/mbZfaa/vp/fIp8/a307ZXsfel9vo7GCi2vXGq2P/t9ncwEGXedqm9tr+u3m/qhZn/8U1DWB9jXNv0b9wgZd7+Mm97pyjz3wHbjqEo899BmbddKv/2l13Z//zLvP1l3vZOUea/A7YdQ1Hmv4Myb7tUzu3nViYAAAAAAIAW4cIMAAAAAABAi7TqwsyjLfq+jVLm7S/ztneKMv8dsO0YijL/HZR526Xyb3/Zlf3Pv8zbX+Zt7xRl/jtg2zEUZf47KPO2SyXc/pZkzAAAAAAAAIBbmQAAAAAAAFqm6RdmQggfCyFsCyHsDCF8sdnffyBCCF8NIRwJIWzuU5sWQng8hLCj9t+prdzGawkhLAgh/G0I4c0QwpYQwq/W6qXY/k5Upt6X6H80Dr3fPPR++ylT/9P7aKQy9b5E/6Nx6P3m6aTeb+qFmRDCCEn/UdJPS1op6TMhhJXN3IYBWifpY0nti5KejDEul/RkbdyOLkv69RjjCkl3S/pntT/rsmx/Rylh70v0PxqA3m86er+NlLD/14neRwOUsPcl+h8NQO83Xcf0frM/MfM+STtjjLtijO9I+i+SHm7yNtQtxvi0pBNJ+WFJX6v9/9ck/WxTN6pOMcZDMcZXav9/VtKbkuapJNvfgUrV+xL9j4ah95uI3m87pep/eh8NVKrel+h/NAy930Sd1PvNvjAzT9L+PuMDtVqZzI4xHpJ6G0HSrBZvT79CCIslrZH0okq4/R2iE3pfKmH/0P8tR++3CL3fFjqh/0vXO/R+W+iE3pdK2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<p>What about second convolution layer?</p>

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<div class="prompt input_prompt">In&nbsp;[33]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">ActivatedUnits</span> <span class="o">=</span> <span class="n">sess</span><span class="o">.</span><span class="n">run</span><span class="p">(</span><span class="n">convolve2</span><span class="p">,</span><span class="n">feed_dict</span><span class="o">=</span><span class="p">{</span><span class="n">x</span><span class="p">:</span><span class="n">np</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">sampleimage</span><span class="p">,[</span><span class="mi">1</span><span class="p">,</span><span class="mi">784</span><span class="p">],</span><span class="n">order</span><span class="o">=</span><span class="s1">&#39;F&#39;</span><span class="p">),</span><span class="n">keep_prob</span><span class="p">:</span><span class="mf">1.0</span><span class="p">})</span>
<span class="n">filters</span> <span class="o">=</span> <span class="n">ActivatedUnits</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span>
<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">20</span><span class="p">,</span><span class="mi">20</span><span class="p">))</span>
<span class="n">n_columns</span> <span class="o">=</span> <span class="mi">8</span>
<span class="n">n_rows</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">math</span><span class="o">.</span><span class="n">ceil</span><span class="p">(</span><span class="n">filters</span> <span class="o">/</span> <span class="n">n_columns</span><span class="p">)</span> <span class="o">+</span> <span class="mi">1</span>
<span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="n">filters</span><span class="p">):</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="n">n_rows</span><span class="p">,</span> <span class="n">n_columns</span><span class="p">,</span> <span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">&#39;Filter &#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">i</span><span class="p">))</span>
    <span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">ActivatedUnits</span><span class="p">[</span><span class="mi">0</span><span class="p">,:,:,</span><span class="n">i</span><span class="p">],</span> <span class="n">interpolation</span><span class="o">=</span><span class="s2">&quot;nearest&quot;</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s2">&quot;gray&quot;</span><span class="p">)</span>
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GyrmR03s5air4khhO0hhJoQQnuJNr9vZkt7eTsazOx+M9ttZsHMppf4mevMbJWZtZrZDjN7V29ug3RPXnLHzNactY1tZvbT3twG6boc5U2dmX3fzBoLX/9hZiN6cxuke3KUO5PM7D4zO2RmO83s/b35/NI9GcqbG81sqZkdMbO9ZvZNM6stig8xs7vNrKkQv6M3n1+6L0e58y4ze9rMjhUu7qSMcpQ3XzGzDWbWbGavmNnv9ubzS/flKHe+ZMm1eJOZbTOzT/bm8/emc3YRp+DmQmJ0fu3uyyczs0ElHu4A8CCAdzht5gP4DoBPAhgJ4FIAK/tqG6XLMp87IYQLOrcPQC2A7QB+0HdbKV2Q+bwB8DcARgM4D8BMAOMBfLYvtk+6JQ+5820AW5DkzI0AvmBm1/bNFkoXZSFvRiIZVyYCmAdgMoAvF8U/C2A2gGkArgXwV2a2uC+3U7okD7lzCMA/APhiX26bdEse8qYVwM2Fn/s9AP9oZq/ry+2ULslD7nwLwPkhhBEAXgfgVjN7e19uZ2ohhH7/ArAYwDoAGwF8vI+eYyuA60o8Ph1AADCo8P1jAN4HYBeSCWwA0A7gSCE+BMBXkFwg7wPwzwCGFmLXANgJ4GMA9gL4d7I9gwp9Tz/r8e8A+N+F/98NYD+A1UXxOgAPA9hQ+Hd0OV6zLHz1R96kyJ1GAOuLcqelv3KnKH43gMOFvB2uvClP7uRozPk5gD8pGm92A3hIeVOevEmRO2UZcwDUFB4bW5Q7hzr7Ue70f+5kbcwpev63A3ip6PtdAN5clDf7AXxPeVOevEmRO30+5ni5U/T4UgCnoPlxWXMnL2NO0eOdY04TgI8ob8qTNylyJwtjzt2F7TgB4K+ymDv9/k4cM6sEcCeAtwKYD+A9hXejlNtpAH8O4KkQQmUIYVTh8f8LYA6Sd8jMAjAJwKeL2k1A8qJOA3B7iue9CgDM7CUAbwOwHEBlUfzjAJaEEGYDWFL4fsDJcN4AyUrtHyLJnZp+zJ1O9wJ4AkBTCKG18JjypiDDuVOuMedOADcB+C8A7wQwAsnCDqC8+ZUM5w1QnjHHiv69F8nEDwAuLPyr3CnIcO7015izCMAaADCz0Uj+4vkCzuTNCQAXFH5WeVOQ4bwB+m/M+VXunOUpAC+e9ZhypyDDudPvY85Z7kVybTW0KK68Kchw3gBlHHPM7OMA3g2gHsmnlr5TCGUrd8qw4vdaFP7qW/j+EwA+0Ucrfi0AjhS+fkJW/N5X+Pk/A7C0qA9D8pa8mWdt/5aiFb9TAKq7sD3eX8VPFZ57DpK/dP4chdXGQnwdgIbC/xsArCvnql+5vvorb1LkTiOAMQB+v79zpyg+DEBzZ9/Km/LkTo7GnIkAHkHyF46OwjZXKW/KkzcpcqdsYw6Sv4b/E4BqJB+nauvMEeVO/+dO1sacws9fj+SdoXMK308pbEt10bZtAbBVeVOevEmRO30+5pTKnbNi7wOwDL/+ThzlTj/nTh7GnBLx/0IyR+4s5qO86ee8SZE7WRhzDMANSN7JVZvF3Cn1WbG+NgnAjqLvdwK4so+e6zdDCI908WcDgL8EMMbMbg8h3IXkbePDAKw06/wjJAy//k6ZAyGEEz3YxuMA7gkhrAcAM7sTyduOO40PIewBgBDCHjMb14PnyrP+zBug67kTAPwPklXf00WP90fudHo7gKNIBrZOypszNOb8uh8g+av425D8pWIpknudvAvKm2Iac17tvUj+arcDyf44WvgXUO4UG5BjjpldheQvlr/VOadBMmkHknf8dfZRiSR3AOVNsQE75ji5E6PcOUNjTom8MbMvA5gLYEcoXHlDeVNMY46TOyGEYGZrkfyx83MA7kDGcqccNza2Eo+FEo/1t6sBfAbJW6r+1MwWIVkJPA7gghDCqMLXyJDcSLZTT7f9xV7oYyDIat58MYSwEMnnMxsKeQP0T+50+j0AP+ylvs5FWc2dco05lwD4Rkg+encMyX1Nbuhhn+eirOZN2cacEMK2EMJNIYSxAG5BMnF6tid9nqOymjt9NuaY2QIA9wP4wxDCkl81DOEwgD1Ixp1O1Sj90YeBLqt506djjpc70i1ZzZ1+H3OK4p9D8jGh30FyIS6vltW8ydKYY0iKgGROORZxdiJ5e22nyUhurFlWIblD9j4kVTfuB3BFCKEDwDcB/H3napslJVbf0p2+zawayY2YAGBI4ftO9wD4AzM7z8yGAXg/krf9ddpnZg2FfhqQvK1rIMpk3uDMXxM3IvlowWsBoJ9yB2Y2GUm1j7MXcZQ3Z2Qyd8o45iwH8D4zG1r4mdFI3pkDKG+KZTJvUMYxx8zmmVmtmVUB+E0kHwH+u0JYuXNGJnOnr8YcM7sQSVWzD4YQflriR/4NwKcK98eZiWTMubcQU96ckcm8QR+OObHcMbPKwhg0CMnFlJnZ4EJYuXNGJnOnXGOOmX0CwK1IPi5z5Kyw8uaMTOYNyjTmmFmFmf2xmY225K0+lyB5N1DnQk+mcqccizjLAcw2sxmFieC7kRzY5VRlSY34RwG8guRGRf+rEPsYkiRaZmZNSO4lMbeb/R/HmbcUv1L4HgAQQrgbyQTnGQDbkHyWr/gAuh/JOy1Q+Pe+bj73uSKLeVOBMxc7y5Cs/n7KzBoLj/Vp7hT8DoBfIrlLezHlzRlZzJ2yjTlIbhQ3HcnJ+xkAVUg+dwwob4plMW/KPea8BcBmJJ8hfy+S+5ocKMSUO2dkMXf6csz5CJK3uX/LzFoKX8XvtPkMgE1I5jjfA9AYQniwEFPenJHFvOnrMSeWO7+DZAz6OoArkNx89ZuFmHLnjCzmTjnHnC8AmIqkitAaAPPM7K8LMeXNGVnMm3KPObcgOV81A/h7AAeR3AsQyFru9NbNdbrzheSt++uR7KRPlmMbztqe85D8JfoFJAd7WbYJwHeRvO34NJILrNuQ3Bl7CZKBaAmAunLvrzK+Tsob5Y1yR3mjvNGYk/kv5Y7yRnmj3FHuaMzJ+pfyJr+503mnbhERERERERERybBymWsoqAAAIABJREFUfJxKRERERERERES6SYs4IiIiIiIiIiI5oEUcEREREREREZEc0CKOiIiIiIiIiEgODOpJYzNbDOAfAVQC+JcQwhfZz1dXV4eampqSsaFDh9Lnqqjw15vYzZlZu1jb9vZ2N3b69Gna74kTJ9xYW1sbbTtkyBA31tHR4cYqKytpv0nJ+1draWnBiRMnSgf7SHdyZ9iwYWHkyJElY2x/xOKDBvnpz2J9iW3v8eNnVxf/dez1r6qqcmNeXnRlm/bs2dMYQhhLO+hF3R1zampqQl1dnddX7LncGNufseOb9evlOQAcO3aM9rt//343Fhsb2O/DxtDYPvTG0CNHjqC1tTWzY05tbW2or68vGYu9vsOGDXNjp06dcmOxsYwZPny4Gzt06BBty8a6cePG0bZsXzQ3N7uxnhRU2L59e6bHnOHDh7tjTuz3Zsdh2rkKwF8ndnzH5jksd2JjzuDBg90YOxZix4k3Jh08eBDNzc25HHPYnDCGjTksBgBeHgN87N+3bx/tl81lYr9rbE7vieUjO4b279+f6TGnpqbGzR02psSwMSe2P1nbkydPurHY9rJrxdi5mY1nrG1s3PaOhcbGxn4dc7qbN7W1tWHMmDElY7Gxn+2T6upqNxa7tmLjCsu52FyUvb7sej32vGw/pJ0fA8C2bdu6NOakvlI1s0oAdwK4HknpreVmdn8IYa3XpqamBjfeeGPJ2MUXX0yfj02M2Y6ILQ6xRD18+LAbYxdMALBu3To3FjvBzZ492421tLS4MXbCBfyD5/7776ftelt3c2fkyJG47bbbSvbFLhQAfuE7dqx/fLAYkH7hMHYyaG1tdWOrV6+mbb0FUgCYOnWqG4sdI2ybPve5z22jjXtRmjGnrq4OH/3oR0vGYpMQdiKaNGmSG2PjBsAvXt7ylre4seeee472+9WvftWNxcaGKVOmuDG2H2ITLm+8uvPOO2m73tbd3Kmvr8dnPvOZkn3Fxv4FCxa4sW3b/MOFTWwBfvF6xRVXuLHvf//7tF9v8g8AH/zgB2lbti8ef/xxNxa7eGRj6Ac+8IHMjzl33HFHyVjsNZ48ebIbY5PQo0eP0n4bGxvdGFsA3LNnD+13/PjxboydjwBgwoQJboxd5Mf2oZc7f/M3f0Pb9bY0Y86nPvWpkn3NnDkz9Xbs2LHDjW3dupW2vfXWW90YOy98+ctfpv2uWbPGjcV+V/a8bH4VOweyY+gf/uEfMj3m1NfX42Mf+1jJGJv7AXwexI7DUaNG0X7Z+WrTpk1ujM1FAOCiiy5yYwcPHqRtd+7c6cbYGBlbHPKurT73uc/Rdr0pTd6MGTMGn/3sZ0vGdu/eTZ+PHWvsGjZ2HLJF3BEjRqRqB/DrbpaPsedlawixawx2/Xrbbbd1aczpyceprgCwMYSwOYRwCsD3ALytB/3JwKHckTSUN5KWckfSUN5IWsodSUN5I2kobwagniziTAJQvMS/s/CYSIxyR9JQ3khayh1JQ3kjaSl3JA3ljaShvBmAerKIU+rDXq96f5WZ3W5mK8xsRexzZzJgRHOnOG9i9wKRAaPbYw77+KEMKN0ac5Q3UtDtMYd9/FQGlG6NObGPhsuAoXmOpNHtvNGYk389WcTZCaD4w4uTAbzqQ3QhhLtCCJeFEC5jn2WVASWaO8V5w+6HJANKt8ec2H0ZZMDo1pijvJGCbo857B4zMqB0a8ypra3t142TzNI8R9Lodt5ozMm/npTgWQ5gtpnNALALwLsB+HdBQ3KjK+/dOLG7OLObszHXXnstjbMbrB05csSNxW6+Nn36dDcWu/nWgQMH3Bi70Vjsrt/eTUhj+74PdCt3zMy9WWHsRsHsJrLshp6zZs2i/b700ktujC1WNjQ00H7ZTbKefvpp2jbtDf9ietK2l3V7zDEz9+Zisbvvs7+o79q1y43FbmzMqgWxmxC+4Q1voP2ym8XGblDKxle2H2I3/OtJxaVe1q3cqaysdG/4GquOwm4Uzo6lpUuX0n6vuuoqN8Zuyhi76e2iRYvcWE9eX3bj2vXr19N+y1UdsIRujzkVFRXuTRZnzJhBn4zd+JqNK+xcBvAbULMbBbObiAL8Bu+xv/Ky3GKx2M3UvflM1uc5bH7c1NREn2jv3r1ujBXZiF3833fffW6M3cCd5QUAPPvss26MzbsBnpNsrOtJtbR+1u0xp7293T1Px6oTsuOf3Qx28eLFtN/Ro0e7sSeffNKNxeabbHt7UqyCnctinyLx/tDcz3PnVNfk3v6MzWPZu7/YvozdmJ5dk7OCM6yyK8Bvtszm80ByA2gP+11j86feeAdd6plSCKHNzP4MwENIypndHULw975IgXJH0lDeSFrKHUlDeSNpKXckDeWNpKG8GZh69OeuEMLPAPysl7ZFBhDljqShvJG0lDuShvJG0lLuSBrKG0lDeTPw9OSeOCIiIiIiIiIi0k+0iCMiIiIiIiIikgNaxBERERERERERyQEt4oiIiIiIiIiI5IAWcUREREREREREcqBH1am6K4SAU6dOlYy9+OKLtO3OnTvd2NChQ93YiRMnaL+LFi1yYx/60Ifc2IYNG2i/7PfZvXs3bTthwgQ3tmfPHjd2+PBh2u+gQaVf7vb2dtqu3Do6OtzXsaWlhbYdMWKEG6urq3Njr7zyCu2XvQ433HCDG5szZw7t97HHHnNjTU1NtO3MmTPdWHNzsxurrKyk/XZ0dNB4lrW3t+Po0aMlY97jnVavXk379TQ2NtJ+L7nkEjf26KOPurHNmzfTfseMGePGWG4APD/27t3rxmI56eVWCIG2K7dTp06555xNmzbRtg0NDW5s/fr1buyJJ56g/W7bts2NsXPVhz/8YdrvQw895MbY7wIADz/8sBubNGmSGzty5Ajtt6amhsazrqKi9N/HYucrNjdYvny5G2ttbaX9suN/y5YtbsybM3Q6fvy4Gxs1ahRty8YANh4NGzaM9nv69OmSj+dhnuPtz3Xr1tG2bH7M5hwspwBg7dq1bozNcRcsWED7ZXMOllMAn4+wfG1ra6P9njx5ksazzsvv2HXBxo0b3dj48ePdGJsXAMBTTz3lxiZOnOjGbr75ZtpvbW2tG9uxYwdtO2TIkFRtY+Ogd76Kza3LrbKy0t32sWPH0rZsn7DcWLlyJe2XXXux6/WLLrqI9svGpNixz/KVnavMjPZbXV1N412hd+KIiIiIiIiIiOSAFnFERERERERERHJAizgiIiIiIiIiIjmgRRwRERERERERkRzQIo6IiIiIiIiISA5oEUdEREREREREJAf6vcS4V+Zv+/bttC0r1cbK4F1++eW03wsvvNCNsXLP//mf/0n7fe6559xYrLzu9OnT3RgrrxkrzZhnXqk2VkIc4OUI9+/f78YeeeQR2i/LORZ7+eWXab8PPPCAG4uV/Kuvr3djsVLQ5zJv7IjlzsUXX+zGWPlxVmIe4MfpM88848a+973v0X5vvPFGNzZ8+HDalpVQHDlypBuLlVPPq4qKCgwdOrRkbNy4cbTtCy+84MbY2P7v//7vtN+pU6e6saVLl7qxL3zhC7RfVtLzhz/8IW07efJkN5b3MuFpdXR0uCW/WYl5ANi6dWuq5/zqV79K4/fdd58bW7NmjRtjuQzw0uWs9CoAjB492o3FykGfi8zMLdsbK1W7atUqN8bGaDYeAbz0Lisx/uyzz9J+Z82a5cZi48ajjz7qxth8ns2P8q6jo8N9rWLn6BMnTqR6zscff5zG2et06623ujE2FwGA559/3o2xuQoATJgwwY2x0vXnKjNz58exvGhoaHBj7Nrqsssuo/1+8pOfdGOLFy92Yxs2bKD9stLm3lyvU0tLixtj83l2vd5b9E4cEREREREREZEc0CKOiIiIiIiIiEgOaBFHRERERERERCQHtIgjIiIiIiIiIpIDWsQREREREREREckBLeKIiIiIiIiIiORAv5cYb29vLxkbNWoUbTt79mw3NmXKFDe2c+dO2u93v/tdN8bKQcfKZ7LS1m94wxto2+XLl7ux+fPn07bnIjNDRUW69cYDBw64MVZa9fDhw7Tfd77znW5s4cKFbixWRvill15yY+9617toW1aG1DvuznUhBLdcbWzMYeUMWeypp56i/e7YscONsfLkDz/8MO332LFjbuzgwYO0LSuFGCtve67yfu9YOUpWxpTFNm3aRPv99Kc/7caefvppN/aBD3yA9nvbbbe5sbVr19K206ZNc2N79uxxY9XV1bTfvPPOV7ESuJMmTXJjd9xxhxsbMWIE7XfZsmVubN26dW7sz//8z2m/rAzt6dOnadsQghsbPnw4bTvQsBK3AC/ZfPPNN7sxVnoeAIYMGZKq7fjx42m/bEyKzVXuv/9+NzYQy0QDfI5cVVVF2w4ePNiNsXlBLCebmprcGCvLzObAAPDMM8+4sdj10aFDh9zYQJ0jDxpUehngmmuuoe3YtRU7DhctWkT7HTt2rBt74IEH3Bi7Xgf4uWru3Lm0bWNjoxsr9/xY78QREREREREREckBLeKIiIiIiIiIiOSAFnFERERERERERHJAizgiIiIiIiIiIjmgRRwRERERERERkRzQIo6IiIiIiIiISA5oEUdEREREREREJAdKF4jvIxUVFRgyZEjJ2IQJE2jbgwcPurF9+/a5sU2bNtF+9+/f78a2bdvmxt74xjfSflmt+82bN9O2LS0tbqy9vZ22PVeFEEo+3traStuxvDlw4IAbu/rqq2m/N998sxtbtmyZG/vJT35C+502bZobq6uro2137tzpxqqqqmjbc5WZYdCg0sPclClTaNvhw4e7sSNHjrixhoYG2u873vEON7Z+/Xo3NmPGDNrvsWPHaJw5fPiwGxs9enTqfvMqhIBTp06VjLExBeD768UXX3RjK1asoP12dHS4scsuu8yNjRkzhvY7ceJEN8byEQAOHTrkxrzj7lxnZhg8eHDJWH19PW07c+ZMN8aO7+9///u0340bN7qxG264wY0tXryY9vvII4+4sV/+8pe07fXXX0/jAw0bc+bPn0/bTpo0yY09/fTTbqyxsZH2+8orr7ix888/34198IMfpP2ynPva175G27LzckXFwPy7tJm511YLFiygbdm5f+3atW7s5Zdfpv2+7W1vc2PNzc1u7IEHHqD9nnfeeW6MnY8APg6y81VbWxvtN6/Y/DiGXXez1/f555+n/bK27PqXnTsBYOrUqW6sqamJtj158qQbO3r0KG3b13o0yzKzrQCaAbQDaAsh+DNJkSLKHUlDeSNpKXckDeWNpKXckTSUN5KWcmdg6Y0/lV0bQuDL+SKlKXckDeWNpKXckTSUN5KWckfSUN5IWsqdAWJgvvdQRERERERERCRnerqIEwD8j5mtNLPbS/2Amd1uZivMbAX7XJkMODR3ivOmJ/f6kHNOt8ac2D2TZEDp8pjD7ksmA063xhzljhTp8pijc5UU0TxH0urymBO7F4xkX08/TnV1CGG3mY0D8LCZvRJCeKL4B0IIdwG4CwBGjx5d+u60MhDR3CnOm4aGBuWNdOrWmDN58mTljnTq8pgzdepU5Y106taYo9yRIl0ec3SukiKa50haXR5zZs2apbzJuR69EyeEsLvw734APwZwRW9slJz7lDuShvJG0lLuSBrKG0lLuSNpKG8kLeXOwJL6nThmNhxARQihufD/NwP4fNr+xo0bR+Ne6UUAWLVqlRuLlYpesmSJG7vpppvc2Ny5c2m/rDz5Sy+9RNsuXLjQjY0aNcqNxcrrnT59uuTjrHRtX+jN3Dlx4gSNs/KJrEQmK48IALW1tW7s3/7t39xYrBwdKyW6f/9+2paVPmaly4cNG0b7zYreHnNi5VXZccGOtdhbm1nZVlZCMVbq+4UXXnBjF110EW3LSh9XV1e7saFDh9J+Qyj9hx4zo+16W5rc8crVxl7f1atXu7ERI0a4MVYmHOBlpN/3vve5sdjx/dhjj7mxmpoa2pb1vXfvXjcWKwUcK8XdX9KOOV7ex3KHHWs//OEP3RgrXQ/w8f/zn/d/HXb+BICtW7e6MVbSFQDGjBnjxqqqqtxY2vlK1sccViaajRsAL7u9Z88eN7ZixQraL5vH/vEf/7Ebi52rvvnNb7qxXbt20bZTpkxxY8ePH3djlZWVtN/YXLK/9PaYw+aqAD/WHn74YTfG5s8ALwXOykjHXieWW2xuBfBS0uzaKi/S5I6XNzt27KDPxa672fl74sSJtF/vOhXgc/Y5c+bQftntXDZt2kTbsjLs7HeNnXMGDx5M413Rk49TjQfw48JGDgLwnRDCgz3eIhkIlDuShvJG0lLuSBrKG0lLuSNpKG8kLeXOAJN6ESeEsBnAJb24LTJAKHckDeWNpKXckTSUN5KWckfSUN5IWsqdgUclxkVEREREREREckCLOCIiIiIiIiIiOaBFHBERERERERGRHNAijoiIiIiIiIhIDvSkOlW3hRDccmYxLS0tbmzs2LFuLFZ2jJV8ZiXyYmX7fvKTn6TqF+ClN1mp9VjpTa/ka1tbG22XBV5JWlaSGYBbshPgr8PFF19M+2Wv79e//nU39vrXv572y0pX7969m7YdP368G2MlSlmJya48b9Z5x0Ws3DsrV8lKAf/2b/827feZZ55xY+x1im3v5Zdf7sZipaJZ2U6WH9u3b6f9euNV7LjNsli53ze+8Y1u7MCBA27snnvuof0eO3bMja1cudKNsbK7AB83Ro4cSdseOXLEjbHy87Ftip0j8ypWUvTJJ590Y6wMamw+8tGPftSNXXjhhW7s7rvvpv3OmzfPjbFS0LG2bKyLjR1eGXdWJjYrvN8tljesdD37vWNlolnpcm9OBvAxBQB+/vOfu7FYaXpWgpwdI7HS1XkuMR1CcEszx0q2M2wMX7BgAW3LrmN+9KMfubHY3Hv9+vVujM2fAX6NxOa5M2bMoP3GSklnVQjBHXNYOW+AjznTpk1zY7Fz/7Zt29zYtdde68ZiawusvDzbXoAfB2yOtG/fPtpvbP7cFXonjoiIiIiIiIhIDmgRR0REREREREQkB7SIIyIiIiIiIiKSA1rEERERERERERHJAS3iiIiIiIiIiIjkgBZxRERERERERERyQIs4IiIiIiIiIiI5MKjcG9CJ1XAHgJaWFjfG6rTv2rWL9nvppZe6sVOnTrmxZcuW0X5feeUVN3bNNdfQtmbmxvbv3+/GampqaL8NDQ0lH1+3bh1tl2WVlZU0PnnyZDc2f/58N9ba2kr7/dGPfpTqOc877zzab3t7uxtj+QgAgwcPdmPs96mqqqL9Hj16lMbzKrY/jxw54sZe//rXu7Hq6mra73XXXefGNm/e7MaGDBlC+2XjxowZM2jbtrY2NzZs2LDU2+SNg7F9n2WxMWfs2LFubPbs2W7spz/9Ke339OnTbmzEiBFubNGiRbRf5q1vfSuNP/fcc25sy5Ytboz9LgCwc+dOvmE5FTte2Jizb98+N8bGI4CP8R/60Ifc2OOPP077Pf/882mc2bhxoxtj8z2W64A/H8zzmMPyAuDzzYoK/2+1bP4L8LFuwYIFbiw2lg0fPtyN1dbW0razZs1yY29+85vd2NNPP037ZefePDt+/DiNp50b1tfXp+6X5c5ll11G+2V27NhB45MmTXJjsTk/M2fOnJKPx67Jsix2Tc6OYXb+7ujooP1OnDjRjYUQ3FhsfD98+LAbi82P2XylubmZtmUGDer5EozeiSMiIiIiIiIikgNaxBERERERERERyQEt4oiIiIiIiIiI5IAWcUREREREREREckCLOCIiIiIiIiIiOaBFHBERERERERGRHMhMifFYaThWJvHYsWNubPTo0bRfVh5sxYoVbuyXv/wl7ffGG290Y6xEIsBLu7Hya6zENOCX13v22WdpuyyLlWhj5UjZ/mKlcwFe8vOWW25xY6x0KgAcPHjQjbHyiABQV1fnxlhpvsbGRtovO/byLFa29dChQ25s7dq1biw2lk2fPt2NsTKnM2fOpP2++OKLbmz16tW0LSv7OGbMGDcWK1HrldRetWoVbZdlrFQlwHNj/vz5bozlBQAMHTrUjbGSng899BDtl5V7feCBB2jbyZMnu7ETJ064sVj50iuvvJLGz1VTp051YxdddJEbe+9730v7ZeXJ161b58bmzZtH+33Na17jxsyMtm1ra3Nj7Hw1btw42q9X+paVy846NhcFgCeffNKNsZLNl1xyCe339ttvd2PsXBUr183GwQsuuIC2ZXMoFvPKQHc6V0uMszklAOzevduNDRkyxI2x8R0Ali5d6sbY68/mXQC/ZpswYQJty+Z8W7ZscWOx8uNHjx4t+Ti7Ns262OvLynKzktx79uyh/U6bNs2Nbd261Y2x+RHAc2P79u207fHjx90Ye41jZc/Zebmrzs2rMxERERERERGRc4wWcUREREREREREckCLOCIiIiIiIiIiOaBFHBERERERERGRHNAijoiIiIiIiIhIDmgRR0REREREREQkB7SIIyIiIiIiIiKSA4NiP2BmdwO4CcD+EMKFhcfqAHwfwHQAWwG8K4RwuCcbcvDgwdRtQwhujNVwB3gdd7ZNb33rW2m/ixYtcmPt7e207bhx49zY7Nmz3Vjsdz1y5EjJx7/zne/Qdmn1R+7U1NTQeF1dnRs7dOiQG1u6dCntd/LkyW7sggsucGPea9Bp2rRpbiz2u1ZWVrqxlpYWN3by5Ena79ixY2m8t/XXmFNfX0/jV111lRt74okn3NiXv/xl2i/Lgeuvv96NjRkzhvbLtvf06dO07e7du90YGwf37t1L+73yyitLPm5mtF1a/ZE7bHwG+Pj+4IMPurHYPnnTm97kxth41NraSvsdOnSoG9u2bRttO3r0aDf2zne+043FxpxXXnnFjX384x+nbdPorzFn3bp1NM72N3uNly9fTvv9wQ9+4MZWrlzpxubPn0/7ZeNGbW0tbcvOzewYa2hooP16+zA270qrP3Jn+PDhNM7GdzZGP/fcc7Rflq933323G2NzcoDPKT71qU/Rts3NzW5s3rx5bozNnYG+yw9Pf405sd+Lnd/ZMbxmzRrab2Njoxtjr39snnP8+HE3FpuPDBrkX/J6cxUgfg6trq4u+fjgwYNpu7T6I3dGjRpF42xfsnFl/fr1tF82t2bnx7a2Ntovm3Ow6y6Az81Yvl533XW03xkzZtB4V3TlnTj3Alh81mMfB7AkhDAbwJLC9yJnuxfKHem+e6G8kXTuhXJHuu9eKG8knXuh3JHuuxfKG0nnXih3BF1YxAkhPAHg7LcsvA3Avxb+/68AfrOXt0vOAcodSUN5I2kpdyQN5Y2kpdyRNJQ3kpZyRzqlvSfO+BDCHgAo/MvfXy5yhnJH0lDeSFrKHUlDeSNpKXckDeWNpKXcGYD6/MbGZna7ma0wsxXs/jMixYrzJnavH5FixbkT+yyzSKfivGH3kBI5m3JH0tC5StJS7kgaxXnT1NRU7s2RHkq7iLPPzBoAoPDvfu8HQwh3hRAuCyFcVlVVlfLp5BzSpdwpzpthw4b16wZKJqUac2I3hJQBodtjTuwm4jIgpBpzlDuCFGOOzlUCzXMkvW6POSNGjOjXDZTel3YR534Av1f4/+8BuK93NkcGAOWOpKG8kbSUO5KG8kbSUu5IGsobSUu5MwB1pcT4dwFcA2CMme0E8BkAXwTwn2Z2G4DtAPxaol0Ue5fOyy+/7MZYia/YW5vZCjYrgxcroXjixAk3Flv9PHDggBtjpa9ZWVbAL/m3a9cu2i6t/sgdr7Rfp46ODjfGyqPGPsLF8ob1G9vXrFRorFwhK5nOyu/F/nJ83nnn0Xhv668xh5VWBoC5c+e6MZYfjz/+OO13z549bmzFihVurKKCr7mzMomTJk2ibVkJxYcfftiNsXEOAHbs2FHy8cOHe1Q11dUfucPOCwAvy8xyI1bOmZVk3rRpkxuL5fmGDRvcWKyc8+rVq93YT3/6UzcWOy/HSpv3tv4ac3oy1rJ5A3sNAT43YPONiRMn0n7Hjx/vxiorK2lbhp3rXnzxRdrWOxb66mPZ/ZE7sX3JStmy0trs+AX4ccjKwLM5EADcc889biz20SB2LnvyySfd2JEjR2i/bO7VF/przGFlwgFeYvz55593Y7HbY7BS0iyvYqXg2TvzY+c6NgbMnDnTjcXmT971a1/lVH/kzuWXX07jbIy+7LLL3Nj+/e6bywDw45SNDRdccAHtl5VMr6+vp21jJcg9sd/1pZdeStVvsegiTgjhPU7oN3r87HJOU+5IGsobSUu5I2kobyQt5Y6kobyRtJQ70qnPb2wsIiIiIiIiIiI9p0UcEREREREREZEc0CKOiIiIiIiIiEgOaBFHRERERERERCQHtIgjIiIiIiIiIpID0epUvSmE4JalY2XjAF4ejJWRPnr0KO2XlQDbt2+fG4uVXr3vvvvcWHt7O23LyvayknWxMmne88bKBGeBV9I9VuaQlXNmr8POnTtpv6zk59q1a1O1A3ieszLhAHD8+PFUzxvLx6amJhrPsvb2dnf72b4GeMn2BQsWuLHPfe5ztF9WZn7Lli1uLFZifMKECW4sVnqTjR2s/PiaNWtov14ZStZnFpgZBg0qfXqMHYePPfaYG2Ov4fDhw2m/559/vhtj4+DevXtpv83NzW7s5Zdfpm3Zube6utqNzZo1i/Z70003ubHbbruNts0CL79ZCXGAl21l+cHGfgBYvHgxjXtipVXZ9sbmFSx3WE7G+vXOdVkfc9ra2txyz14J407s+F+3bl2qdjEsN2L7mpVsjs3Z2bjCcmPKlCm039GjR7uxJ554grYttxACTp48WTIWKzF+zTXXuLEHH3zQjcXmI2xM2rBhgxtjry8A1NTUpIoBPD82b97sxhYuXEj79fZxHq6tvPlMbM7IrinGjBnjxq6++mrab2Njoxtj1+SHDx+m/bJzCitrDgArVqxwY+xacevWrbQbzwGgAAAgAElEQVTf2LjeFXonjoiIiIiIiIhIDmgRR0REREREREQkB7SIIyIiIiIiIiKSA1rEERERERERERHJAS3iiIiIiIiIiIjkgBZxRERERERERERyQIs4IiIiIiIiIiI5MKg/n6yyshLDhw8vGYvVpJ80aZIba21tdWM1NTW03w0bNrgxb1sB4OTJk7Rf9vtUV1fTthUV/toaqys/cuRI2m8IoeTjq1atou3KLYSAtra2krHKykra1msHAKdPn3ZjsdeI9Xvq1Ck3NmTIENov26bBgwfTtuz1HzTIP9Rjx15sH2dZZWUlRo0alartjh073NiwYcPc2KxZs2i/r3nNa9zY4cOH3diBAwdovyw/WL4CPD/Y6x8bX71+lyxZQtuVWwjBPY4PHTpE227cuNGNbdu2LVU7APjWt77lxti4MnXqVNpvR0eHG9u3bx9tW1tb68bGjRvnxtg4B/BzYNZVVFS4r4d3Du7U0tLixk6cOJGqHQDU1dW5MTbPaW5upv2yeOx3ZfGevP7e75r185iZuXkTm4+w15CN7aNHj45uk2fixIlurL6+nvbL5rEsBgA7d+50Y2wsi73+sWMor44dO0bjM2fOdGOLFy92Y2w8AoDzzz/fjbFzXezcwOYysW1iucX63b59O+139uzZJR+PjYHlZmbuPoltO5uPsmvy2DmFjXXs9WNzEYDPrWPbxK6t2DznyiuvpP2y89yXvvQl2vZXfXTpp0REREREREREpKy0iCMiIiIiIiIikgNaxBERERERERERyQEt4oiIiIiIiIiI5IAWcUREREREREREckCLOCIiIiIiIiIiOWD9WQLNzA4A6KyxOgZAY789edcM1G2aFkIY28fPkdpZeQMM3NepO/pre/KUO1l7jYCBu015yhtg4L5O3aExBxpzUtKYk/0xJ2vbA2jMAaAxJyWNORpz0sjUmNOvizi/9sRmK0IIl5XlyR3apnzI4j7J2jZlbXuyIIv7RNuUD1ncJ1nbpqxtTxZkcZ9om/Iha/ska9sDZHObyi2L+0TblA9Z2ydZ2x4ge9ukj1OJiIiIiIiIiOSAFnFERERERERERHKgnIs4d5XxuT3apnzI4j7J2jZlbXuyIIv7RNuUD1ncJ1nbpqxtTxZkcZ9om/Iha/ska9sDZHObyi2L+0TblA9Z2ydZ2x4gY9tUtnvilIuZTQWwFsDIEEK7mT0G4NshhH8p75ZJ1il3JA3ljaSl3JE0lDeSlnJH0lDeSFrKnfTO2Y9TmdlWMztuZi1FXxNDCNtDCDUhhPYSbX7fzJb28nbcaGZLzeyIme01s2+aWW2Jn6szswO9/fzSfXnJHTO718xOnbWdlb25DdJ1ecmbws9cZ2arzKzVzHaY2bt6cxuke/KSO2a25qxtbDOzn/bmNkjX5Shv6szs+2bWWPj6DzMb0ZvbIN2To9yZZGb3mdkhM9tpZu/vzeeX7slQ3lxrZi8V8uagmf3YzCYVxYeY2d1m1lTIqzt68/ml+3KUO+8ys6fN7JglC0qZdc4u4hTcXEiMzq/dfflkZjaoxMMjAfwNgIkA5gGYDODLJX7u/wJ4ue+2TropL7nzpbO281WDoPSrzOeNmc0H8B0Anyz87KUAVvbldkqXZD53QggXdG4fgFoA2wH8oC+3U6IynzeF2GgA5wGYCWA8gM/25XZKl+Qhd74NYAuSnLkRwBfM7Nq+3E6JykLerAXwlhDCKCS5swHA14vinwUwG8A0ANcC+CszW9yX2yldkofcOQTgHwB8sS+3rTeUZRHHzBab2Toz22hmH+/n555uZuHsF9bMdgG4G8DVZtZuZkcKjw8xs6+Y2XYz22dm/2xmQwuxawp/GfiYme0FcM/ZzxdC+E4I4cEQwrEQwmEA3wRw9VnP/VoAFwIwAFeY2eqiWJ2ZPWxmGwr/ju7dPZIf5cybwvOXyp0vmtl6nMmdlv7MnUJfd5vZfuWNT2POr+XNpwB8A8A7AewG8HgIYVOhf+VNEY05/piDZKIzDcAPC48pd4pozPm1vJkB4CdIJsYbAMwHcEGhf+VNEY05Z3LHzGoAXAPg/yA5Zz1caPaHhbhyp8gAG3P2nbUA0A5gVtH3vwvgfwP4fwAeR3K9+/uF/pU3RQbgmENzJ4TwSAjhPwG8GcDrLMPXVv2+iGPJxz3uBPBWJCfy91jyl+FyOw3gzwE8FUKoLKzQAck7ZOYg+Wv1LACTAHy6qN0EAHVIJrO3d+F5FgFY0/lN0f74MwBPFscKPg5gSQhhNoAlhe8HnAznDQC8Dsmk4qnCynK/5E7BnwD4LQCNAIrfnq68Kchw7pRlzAFwVeHfNyJZOJ5sZnWFx5Q3BRnOG6C8Yw4A3AvgCQBNIYTWwmPKnYIM5065xpw7AdwE4L+QLB6PAPDzQkx5U5DhvAHKM+ZY0b/3Auh8J8WFhX+VOwUZzp0+G3PMbGrhwv44gL8E8KXC46ORvMPiBZzJmxMoLBxDefMrGc4boA/HHC93zvIUgBfPeixbuRNC6NcvAK8F8FDR958A8Ik+eJ6tAFoAHCl8/aTw+HQAAcCgwvePAXhf4ef/DMDSoj4MQCuAmWdt/5bC/68BcApAdRe36XoAhwHMKXrswwC+Xvj/7wNYDmB1UXwdgIbC/xsArOvv1ywLX/2VNylypxHAmMJr19+5sxBAPYBBhedvB3C18qY8uZOjMedU4bnnIDlpHwXwH8qb8uRNitwp25hTFBsGoLmzb+VOeXInR2PORACPAOgofLUAqFLelCdvUuROOec5SwH8E4BqJB+nauvMEeVO/+dORsecOgAfA3BV4fsphW2pLtq2LQC2Km/Kkzcpcqe/xpxfy52zYu8DsAwZviYv9VmxvjYJwI6i73cCuLKPnus3QwiPdPFnA5LVuDFmdnsI4S4AY5FMVleadf5BAAag+OaxB0IIJ2Kdm9lVSO5D8VshhPWFxyYiWaF+DWk6PoSwBwBCCHvMbFwXf59zTX/mDdD13AkA/gfJQHC66PE+zR0ACCGsKvqZx5BcjL8dyeqx8uYMjTlFeYPkLw/3hBDWm9l0AAcA3FCIKW/O0Jjz6tzp9HYk401r0WPKnTM05vx63vwAyV/F34bkr6NLkdzr5F1Q3hTTmPPq3HkvkncK7ECyP44W/gWUO8UG5JgDACGEQ2b2rwBesOQGtS2F0Agk78BBoe+jhf8rb84YsGMO8OrcCSG0RZpkKnfKcU8cK/FY6PeteLWrAXwGyds4/9TMFiFZCTwO4IIQwqjC18iQ3NSxU3TbzWwBgPsB/GEIYUlR6AokK3lrC5/d+0cAlwCYa6oydLas5s0XQwgLAXwFQEMhb4C+z51SAkrvp4Euq7lTjjEHSN4emoXfP+uymjdZGHN+D4V74UhJWc2dco05lwD4Rkg+encMyf2UboCcLat5U7YxJ4SwLYRwUwhhLIBbkFysPdsLv9O5Jqu502djzlkGARgHYERI7q20B8m406kapT8aPNBlNW/6dMw5y69yp8db3c/KsYizE8lb3TpNRnJzzbIKyU2O9iG5A/79AK4IIXQgucna33eutllS7vAtXe3XzC4E8CCAD4YQzi7F+nMkbyO7tPD1aSSDzKZwpsrQPjNrKPTVAGB/ut8w9zKZNzizsr8Rydt8XwsA/ZA7MLPfMrMaM6sA8AYAo5DkLqC8KZbJ3CnTmAMkN3r7AzM7D8nEZiyABwox5c0ZmcwblHHMKfzMZCTVPs5exFHunJHJ3CnjmLMcwPsKN58cgqRS1QuFmPLmjEzmDco7z5lnZrVmVgXgNwHUAPi7Qli5c0Ymc6cPx5y3m9lcM6sws7FIcuK5EMKhwo/8G4BPFe6PMxPJmHNvIaa8OSOTeYO+HXNo7phZpZlVI1ncseQhG1xonqncKcciznIAs81sRmFQfjfOXHiWS5WZ1QJ4FMArSG5U9L8KsY8hSaJlZtaE5HPdc7vR90eQXCR9y5K7a7eY2RoACCGcDCHs7fxCkrRtha9O9yP5qycK/96X6jfMvyzmTQWSCSmQfG4yIDlpNBYe67PcKfgLALuQfLb0EwB2hxAeK8SUN2dkMXfKMuYAQAjhbiQTnGeQfPQuIPlYJ6C8KZbFvCn3mAMAvwPgl0jKixdT7pyRxdwp25iD5OaU05FcMDwDoAqFSjFQ3hTLYt6Ue8x5C4DNSO6V814k9zU5UIgpd87IYu705ZgzCcniXzOAl5Dca+uWovhnAGwCsA3A9wA0hhAeLMSUN2dkMW/6esyJ5c7vIHm3z9eRfGJmPpKFIyBruXP2TXL64wvJ22jXIznAPlmObThre85D8lehF5C8E6Ys2wTgu0jeAngayWTnNiQ3rl2CpCznEgB15d5fZXydlDfKG+WO8kZ5ozEn81/KHeWN8ka5o9zRmJP1L+VNfnPHChsqIiIiIiIiIiIZVo6PU4mIiIiIiIiISDdpEUdEREREREREJAe0iCMiIiIiIiIikgNaxBERERERERERyYFBPWlsZosB/COASgD/EkL4Ivv5kSNHhvHjx5eMVVTw9SR2A2YzS9UOANra2tzYkCFD3Bh7TgCorKx0Y+3t7bQtw9p2dHTQtoMGlX65d+/ejSNHjvBfqJd1J3eGDRsWRo4cmep52D5hr+HgwYNT93vy5MlU7YCe5Q07hli/MazfvXv3NoYQxqbuvJu6O+bU1taGsWNLbx479gF+/J84ccKNxV4nlncsP44dO0b7ra6udmO1tbW0LXuNT5065cbSjjkHDhxAc3NzZsecmpqaUF9fXzIWO5bY68/OR8ePH6f9ps2bqqoq2i8b67zXrxMb65jY+Z79rtu3b8/8mJM2d9h+ib2OTEtLixtjr/Hp06dpv/v373djsdeYjUk92Q/euH7kyBG0trZmdswZNWpUaGhoKBmL7UuWV+z1jc1j2TmSjWWxvGFjZOwYYdsU209pt2nTpk2ZH3O8eU5PcoedV9i8AACGDh2aqi2bWwF8e9kcCOA5y2KxOZ13Dt23bx+ampr6bczpbt4MHTo0jBgxomSsJ8cSG3Ni11Ys3pN5N2vbk+ujtMcPwMffrl5bpV7EMbNKAHcCuB5J6a3lZnZ/CGGt12b8+PH4p3/6p5KxYcOG0edjJwV2Uo9dqB08eNCNzZgxI9VzAgBbdDh69Chty5KxtbXVjTU3N9N+vYnl7/7u79J2va27uTNy5Ej8wR/8Qcm+Yot07MKXXaSPGzeO9ssGhE2bNrmx2IUam9jG8mb48OFujOVjbLBm++mLX/ziNtq4F6UZc8aOHYvPf/7zJWOHDh2iz3feeee5sY0bN7qxWL/sBMfy9YUXXqD9zp07140tWrSItmV5t22b/xLH8nn06NElH//0pz9N2/W27uZOfX09PvGJT5Tsq6amhj4Xew3ZuPHiiy/SftkElY3906ZNo/1OmDDBjXkXBp22bt3qxth5LLYP2Zj0p3/6p5kec+rr6/HJT36yZMw7HjqxedCUKVPcWOw8uGzZMjfmzQsAYOfOnbTfr33ta26MnY8A4Nprr3Vj7AKQ7QcAaGxsLPn4P//zP9N2va27udPQ0IB77rmnZF+x44WN3+wYjs1jvX0J8AvxvXv30n6PHDnixmJ/cGBzdpY3MWwMveWWWzI95rB5jneR3onNDZuamtzY7t27ab8XXHCBG9uxY4cbW7duHe2X5cf8+fNpW/ZHBxZji+CAf71wxx130Ha9KU3ejBgxAu95z3tKxmLX5GyBgo053kJ1V+Lr1693Y2xMAXhexY4Rdn5lx09sQZJdC/zt3/5tl8acnnyc6goAG0MIm0MIpwB8D8DbetCfDBzKHUlDeSNpKXckDeWNpKXckTSUN5KG8mYA6skiziQAxcupOwuPicQodyQN5Y2kpdyRNJQ3kpZyR9JQ3kgaypsBqCeLOKU+zPWq9xyZ2e1mtsLMVsQ+DiIDRjR3ivMmdi8QGTC6PeawtwPLgNKtMSf29mkZMLo95sQ+1iwDRrfGnNjHAWTA0DxH0uh23sQ+Di/Z15NFnJ0Aij+cPBnAqz4kGUK4K4RwWQjhsrQ3p5VzTjR3ivMm9tlMGTC6PebEPusqA0a3xpzYPShkwOj2mBO7p4cMGN0ac0aNGtWvGyeZpXmOpNHtvOnJPaQkG3pSnWo5gNlmNgPALgDvBnAra9DR0eHeCDP2bouJEye6MXYj0V/+8pe0Xzb4sRuoxW6YzG4WecUVV9C2bF8cOHDAjbGbHgP+DcFid9DuA93OHe9Gl7G70XvV0AB+g7TDhw/TftnrwF6/WNWGXbt2pd4mdiNudmOunlSv6Wfdzhszc292GMudDRs2uDF2Uz+WGwC/WSAza9YsGmdjWexdkOxG3uyGybGbG3r7vieVD1LqVu6EENxjNVaVg+UVq+YTu5k6W1hiN6Dds2cP7ZfdwDt2E1l2M0h288pYNYg8jznHjx/Hyy+/XDIWq6Dx7LPPurGLLrrIjcVuIvyjH/2Ixj3veMc7aJzNc9gN/gHgkUcecWNsQePqq6+m/XryPM+JzTfZ689yLjZ+s3ckspt2evnfic2DWE4B/GbqbAyNVeLK0LtZUl1beeelWKEFVjCBna9i1xtr1qxJ1W9PbsS/evVq2pbl85gxY9xYLHe8fdGTSsQppJofezfXjd0sn81HLr744lTtAH7dzY792PXRpEn+J8ti74Jkr3/aokuxfrsq9SJOCKHNzP4MwENIypndHULwj1qRAuWOpKG8kbSUO5KG8kbSUu5IGsobSUN5MzD15J04CCH8DMDPemlbZABR7kgayhtJS7kjaShvJC3ljqShvJE0lDcDT7+/p11ERERERERERLpPizgiIiIiIiIiIjmgRRwRERERERERkRzQIo6IiIiIiIiISA5oEUdEREREREREJAd6VJ0qDa8uel1dHW3X0tLixrZt2+bGdu/eTfvds2ePG9u3b58ba2tro/3eeuutNM6wfdHc3OzGDh06RPutqCi9Ztcbter7kplh0KDSqTpu3Dja9vDhw27sueeec2Nr1vDKfK2trW7sxIkTbsx7Dbqio6ODxseMGZMq5u3bTlnPDyaEgJMnT5aM7d+/n7Y9evSoG1u/fr0bGzt2LO23qanJjS1ZssSNXXPNNbTfxYsXu7FTp07Rtjt37nRjo0aNcmPHjh2j/Xr5HkKg7cqtoqICQ4cOLRmLnavY8dLY2OjGNm/eTPsdP368G2Pnx9OnT9N+zz//fDc2e/Zs2tY7tmLPm/XXv6e8sTp2jmbnsxkzZrix+++/n/bL5kF//dd/7cZuuOEG2i+bj9x00020LTuHsv3E9gPg51ZVVRVtlwVe3lRXV9N27Phn4wqbH7HtAfi8YceOHbTfiy++2I2x3wXgYwcbeysrK2m/w4cPp/Esq6iocPM7dg3EcmDmzJlujM2POrfJw17D2HHKnnfr1q20LcuBCRMmuLHYOTR2PZhVIQT3GI+doydOnOjG2Nj+i1/8gvbL5pSLFi1K3e8DDzzgxmLXQLF5kCe2D705ZnfonTgiIiIiIiIiIjmgRRwRERERERERkRzQIo6IiIiIiIiISA5oEUdEREREREREJAe0iCMiIiIiIiIikgNaxBERERERERERyYF+LTFuZhg8eHDJ2NSpU2lbVrJw5cqVbmzXrl2038svv9yNvfLKK24sVpqRlbKLlZJlJWyHDBlC256rvFJtsZKCGzdudGMbNmxwY7EyplOmTHFjrMR07LWvqalxY7HSm6zca57LhPeUV0Jx2LBhtB0rZXn99de7sUsvvZT2u3fvXjfGxkH2nAAvV8jKZwK8JCQriX4u80qkxspEs2P8xRdfTL09aUv6njhxgva7du1aNxYbc44fP+7GWFlk1i7vQgg4depUyVjs/M3GDna+WrVqFe33ox/9qBt797vf7cba29tpv+x1ZCVoAWDBggVubOnSpbTtQBObb7Iy0ixvYschK5G7evVqN7Z9+3ba7759+9wYm1sBQENDgxurra11Y6x08bnAO19Nnz6dtmPzIHb833DDDbRflrPsHBk75zz99NNuLDZeXXPNNW6MzZ9iJcbzzJsfx+Y5rKw6u+566qmnaL9/9Ed/5Mbe/va3u7HY3Or55593Y6NGjaJtR48enaotWwfoLXonjoiIiIiIiIhIDmgRR0REREREREQkB7SIIyIiIiIiIiKSA1rEERERERERERHJAS3iiIiIiIiIiIjkgBZxRERERERERERyoF9LjAN+CbhYGVRWKpyVAv6TP/kT2i8rHXbXXXe5sfe///20X1Z+7/7776dtvVKBAC9BfS7zSl3GSriNGzfOjbHX6E1vehPtd+TIkW7sv//7v90YKxMM8HKPsTKjrGxnrJz2ucrM3LK+F154IW37+te/3o2xsp3r16+n/a5cudKNsbLMrDQ5wHOLjXMAcPDgQRofaDo6OtyStPv376dtWZnTt771rW5s8uTJtF9WCvy5555zYzfeeCPtl42Ry5Yto21HjBjhxurq6mjbc5WZuccim8cAvMwtmxcsXLiQ9svmQSzvrrrqKtovK239mte8hrZlYw4rXzt48GDa77nIK1nfic0L2Vzluuuuo/2uWbPGjW3ZssWN3XTTTbRfpqmpicbZeW7SpElu7FwvMe6Vio6V7J41a5YbmzhxohuLXbOx/GBjTqxM+KOPPurG2BgJ8NxipetjOZlnXt7EsDLi7Bj9y7/8S9rv1Vdf7cbY3PmJJ56g/bI5MJvHAEBVVRWNl5PeiSMiIiIiIiIikgNaxBERERERERERyQEt4oiIiIiIiIiI5IAWcUREREREREREckCLOCIiIiIiIiIiOaBFHBERERERERGRHNAijoiIiIiIiIhIDvjF3PuImZV8/OjRo7Qdi990001u7Dd+4zdov3fffbcbW7hwoRu7+eabab9NTU1ubPz48bQtq1l/6NAh2vZcVVFRer1xzJgxtN28efPc2IwZM9zYmjVraL/btm1zY2vXrnVjx44do/0OGzbMjdXU1NC2tbW1bmzw4MFurKOjg/abdyGEbj3eiR3Djz/+uBv7xS9+Qfvdvn27G2tpaXFjsWN/zpw5buyJJ56gbYcOHerG6uvradtzkZlh0KDSp8fYmDNlyhQ3dsstt7ix5557jvb7ve99z41deOGFbuwd73gH7be5udmNtbW10bZsPGM5VVlZSfvNO2+eM2TIENqO5Q57na6//nra76OPPurGfvCDH7ixjRs30n5Z2/b2dtqWYW3ZuSzvvHPS5MmTabtTp065sbe85S1ubNOmTbRflnPsOSdNmkT7Za9v7FqAvf49ybk8CyG4v3tsftfY2OjG2Bh+5MgR2u/Jkyfd2JIlS9xYdXU17ZflljfudiUey7tzlbdPYq8Dmx/X1dW5sXHjxtF+d+/e7caWL1/uxti1EwDMnj3bjbFjAODzcnZOj82fekOPFnHMbCuAZgDtANpCCJf1xkbJuU+5I2kobyQt5Y6kobyRtJQ7kobyRtJS7gwsvfFOnGtDCHwZS6Q05Y6kobyRtJQ7kobyRtJS7kgayhtJS7kzQOieOCIiIiIiIiIiOdDTRZwA4H/MbKWZ3V7qB8zsdjNbYWYrBupnDqUkmjvFeRO7j4wMKN0ac9jndmXA6fKYwz4DLQNOt8ac48eP9/PmSYZ1ecw5fPhwGTZPMqpbYw67d5EMOF0ec3Suyr+efpzq6hDCbjMbB+BhM3slhPBrd9AMIdwF4C4AmD17Nr+TqAwkNHeK82bixInKG+nUrTFn5syZyh3p1OUxZ9q0acob6dStMWf8+PHKHenU5TFn3rx5yhvp1K0xZ8aMGcod6dTlMUfnqvzr0TtxQgi7C//uB/BjAFf0xkbJuU+5I2kobyQt5Y6kobyRtJQ7kobyRtJS7gwsqd+JY2bDAVSEEJoL/38zgM+zNqwMXmtrK32+888/3401NDS4sVWrVtF+H374YTd2wQUXuLG5c+fSfl9++WU3Nnr0aNqWlTtjHw/xynB3On36dMnHY6WWe1ua3PHKJMbKHJ44ccKNrVu3zo3F3trMXiNWPpeVAgZ4GWlW0hNIX2I8Jla2sb+kyRtm3759NM5KZK5evdqNvfTSS7TfsWPHujFWfpGNRwBw6aWXurFt27bRtqx8PSuTmJdyv2lyx8v7iRMn0udirxPLjTvvvJP2u3//fjf24Q9/2I3NmzeP9svKRMfebt1X5TWzUio47TzHO1/FyquyMYdZuHAhjbPjf+XKlW4sVrqclaGN/S4HDx50Y6yktjeP6ZSVjyX15pgTOx5YfOfOnW5sy5YttF+WNxdddJEbi32858CBA26sqqqKtp0xY4YbY3Ov2LkqK+eytHnjbT+bFwL83P/888+7sb1799J+WZlpdj23Zs0a2i+b88fOzazcOvsIdaxMe+zaq7+kPV+Vws7tAD+/T5061Y2NHz+e9rt+/Xo39rOf/cyNxa6rWV7Fyqmz8zYbc2Ljdux5u6InH6caD+DHhZPOIADfCSE82OMtkoFAuSNpKG8kLeWOpKG8kbSUO5KG8kbSUu4MMKkXcUIImwFc0ovbIgOEckfSUN5IWsodSUN5I2kpdyQN5Y2kpdwZeLLxHjAREREREREREaG0iCMiIiIiIiIikgNaxBERERERERERyQEt4oiIiIiIiIiI5EBPqlOl4pUzi5VPnjRpkhtjpYK/8pWv0H5ZOcO/+Iu/cGPHjh2j/bKSdLNnz6ZtWSk0VvaNlToDgOHDh5d8PCvl8dIYOnQojbPfLW1ZTgAYNMg/dC6//HI3xsoYAvw1ZKUgAb4vWL/sdwHiuZ513phz9OjRVO1i3vjGN9K4dxwCvBzoxRdfTPtlJXtjucPKyLNysLEywjNnziz5eKxkZxZ4+yQ2XrJS4EuWLHFjy5Yto/3eeOONbuyWW25xY48++ijtl5UKHTlyZOq2LB/r6+tpv7HyplnGyv3GSoquXr3ajbFxJTaGf/vb33Zj7LW47bbbaL+srCsb52JxllJlAt4AACAASURBVDsbN26k/XplsdOWb+8vIQT3eDp+/Dhty47THTt2uLGtW7fSftnc+rzzznNjjY2NtF+Wc3PmzKFt2TyHHV+tra2039g1SF7Fyr3v3r3bjQ0bNsyNXXIJv38uKyXNSkVPnjyZ9jtlyhQ3Fjs3NzQ0uDH2u7I5EACMGDGi5OOxa7Is8OY5sXMKKyH/2te+1o3F+n3yySfd2PTp091YU1MT7XfBggVubNq0abQtG5PY3Dk2brO2XZXfq3cRERERERERkQFEizgiIiIiIiIiIjmgRRwRERERERERkRzQIo6IiIiIiIiISA5oEUdEREREREREJAe0iCMiIiIiIiIikgNaxBERERERERERyQFesL0fxWrHnzp1yo2tWrXKjT3//PO034985CNurK6uzo1t2LCB9nvllVe6saeffpq2PXDggBsbNmyYG4vVpJ84cWLJxwcPHkzbZVlVVRWN79u3z41t3brVjQ0ZMoT2O3bsWDe2Z88eN2ZmtN+KCn9dtb29nbZlx0hjY6Mba21tpf1WVlbSeF4dPXqUxkMIbozt6+HDh9N+m5qa3Bg79lnOAcC6devcWCx3amtr3VgsPxjvOGJ5nnWx1/f06dNubOXKlW6M5RsAzJkzx4298MILbmzp0qW0X5aPzc3NtC1TU1PjxmLnnFmzZqV+3ixj4wbAxyR2HD700EO0X/Ya/93f/Z0bq66upv3+f/buPLyuu7ob/XdJtmzJkizJ8xjbsWM7NrEzOHMggWYgNyFp3w7wUgqFkre8ZbwPT+He9qUt8LaUltuWQqFpIQ4XCi1DQm5L5pAEyOjMnu14lGVJtmVZtizLlvS7f5yjSHbO+v6kreHsbX0/z5PH8Vnev7O1z9pr//ZP55z10EMPubGtW7fSbdm1mc0Hu7q66LjezxqbH6VZbN5w4sQJN8Zqf2trKx3313/9193YnDlz3NimTZvouLW1tW5syZIldFt2DrG60tzcTMeN1d+sitUclgPz5s1LPC67fzr//PPd2O7du+m4TOzafPz4cTd26NAhNxarZd7519nZSbdLs9ickZ3/LDeeeeYZOi6r76wOPv3003Tcq666yo3NnTuXbsuug+ya/dprr9Fxh0N2Z9IiIiIiIiIiImOIFnFERERERERERDJAizgiIiIiIiIiIhmgRRwRERERERERkQzQIo6IiIiIiIiISAZoEUdEREREREREJANS02J8xowZNM7aA/785z93Y3v27KHjlpeXu7Hvfe97bizWdpe1r47tE2sz3NPT48Zi7UBXrVpV8PFYK7k0i70O7Hixdu1Tp06l43rt2gFg3759bmwoLQdj27L2iawNXqzVdqy19dmK1RzWRjp2fre0tLixKVOmuLG77rqLjsvaOsZaRbMWiyyvbr31Vjqu10aYHb+0ix1L1sqYtc+87LLL6LiTJ092Y7/61a/cGLueALzWsRazAM/1Y8eOubFYe1pWt7OMnfsxrD197DrIavjmzZvdWKyd95NPPunGYm152fWMta+dOXMmHddrUf3SSy/R7dKspIT/vpWdT2wuGpvnLFiwwI1VVVW5sVmzZtFxr7nmGjcWm482Nja6saFcV9h8MMtirdPZ+d/W1ubG1qxZQ8f94he/6MZYO2g2fwaAZcuWuTHW1hwAFi1a5MZY7sTqoFdzsiw2z2HX6IaGBjf27LPP0nHHjx/vxlhtmD59Oh2Xvb5szgbwtvfeHBeI5zLLx4HSO3FERERERERERDJAizgiIiIiIiIiIhmgRRwRERERERERkQzQIo6IiIiIiIiISAZoEUdEREREREREJAO0iCMiIiIiIiIikgFaxBERERERERERyYBxsX9gZt8GcAuA5hDCyvxjdQD+HcACALsA/HYI4fBQdmT+/Pk0XlZW5sZYX/lPfOITdNySEn8di/WzX7lyJR13z549bmznzp1025aWFjfW2tqaeJ+8cbu7u+l2SY1G7nR0dNA4O16lpaVJnxYvvPCCG2toaHBj69evp+MeO3bMjbW1tdFt2XkwZcoUNzZ37lw6LjtHRsJo1Zzq6moaZ68Fi23atImOO2PGDDd27733JnpOAGhvb3djsde4qqrKjbH6cOjQITruokWLCj4+lHOPGY3cOXyYb7pjxw43Nm/ePDe2YMECOu6LL77oxl5++WU3NnXqVDpuY2OjGzt48CDdtqKiwo2xmrNkyRI6bmyfh9to1Rx2bQCAxYsXu7EtW7a4seeee46Oe+utt7qxp59+2o2xmgLwXO/p6aHb7t692429/vrrbuy3fuu36Lg33XRTwccffPBBul1So5E7x48fp/F9+/a5MTbfZOcvwOcr7Ho0a9YsOu6jjz7qxk6cOEG3ZT8rmwOxeTXA7zFGwmjVnIkTJ9L47bff7sZYDZ88eTId921ve5sbY3PK2Ot/7rnnurE1a9bQbY8cOZIoFrtH8q5X48ZFb7ETGY3cidV+drzYucaucQC/HrG6UVNTQ8etrKx0Y83NzXTbzs5ON2ZmibYD+P3pQA3k7mwtgDOvip8F8GgIYQmAR/N/FznTWih3ZPDWQnkjyayFckcGby2UN5LMWih3ZPDWQnkjyayFckcwgEWcEMKTAM5cVrsNwN35/78bgL+UK2OWckeSUN5IUsodSUJ5I0kpdyQJ5Y0kpdyRXkk/JzEjhLAfAPJ/Th++XZKznHJHklDeSFLKHUlCeSNJKXckCeWNJKXcGYNG/MsuzOwOM1tnZuti3+kh0qt/3sQ+Dy7Sn2qOJNE/b2LfPyTSX//ciX1Pm0iv/nkzHN+PIGNH/9w5evRosXdHMkLXqrNL0kWcJjObBQD5P91vBQoh3BlCuCSEcEnsi0RlTBhQ7vTPm9iX78mYoJojSQ265rAvwZMxI1HNKS8vH7UdlNQadM2JfTGnjAmJag5rTCBjxqBrjq5V2Zd0Eec+AO/P///7Afx0eHZHxgDljiShvJGklDuShPJGklLuSBLKG0lKuTMGDaTF+PcBXAtgqpnVA/gzAF8C8B9m9iEAewDwno8DEGtVu2HDBjfG2rjF2uCxNmqs9Spr9wnwdtCx37iwVfVJkya5sVjbXq/VZKwNWlKjkTuspSTAjxd7jTZv3kzHTfoxnVgby5kzZ7qx+fPn021XrVrlxlhbv9g7ndi7Ev7rv/6LbpvEaNUcr/11r6VLl7ox1nIylpOsvTLLu9i7Q1juzJkzh27L9nnv3r1uLFY7vPr7t3/7t3S7pEYjd+rr62m8qanJjbF3hu3Zs4eO+8wzz7gx1mI8dg1cuHChG4vVhhkzZrixc845x42x1tQDiQ+30ao5IQQaZ+cTO4djLdtZy1eWd7Hf8F922WVuLPYuSBZnuTN37lw67vLlyws+PlK/dR6N3Im1iWbzWDbffPHFF+m4rMX4unXr3Bi7FgF8LsPmbAC/DrI5cKzdc+waOdxGq+bE5iPstbr88svdWKwVOJvLsDbhsfb07HWM7dOyZcvcGGuZze4FAWDr1q2J9iep0cidCRMm0HhDQ4MbYzkXuwfq6elxY6xusO0AXsti27J7K3btjc2Ph+NjkNFFnBDCe5zQO4b87HJWU+5IEsobSUq5I0kobyQp5Y4kobyRpJQ70mvEv9hYRERERERERESGTos4IiIiIiIiIiIZoEUcEREREREREZEM0CKOiIiIiIiIiEgGaBFHRERERERERCQDot2phlNpaanbsjLW4ou1LFuzZo0bi7Xe3LVrlxvzWlUCvGUnwFsdxtq21tbWujHWejPWSrCurq7g47HWi8UWQkBXV1fBWKyNKWuvyWLTp0+n47JWd6xlY6xlK8ubWHta7xgBwKFDh9wYOwcAYPfu3TSeZt3d3W771Vj7P/ZasRbjsZrjnYcAsHLlSjcWO79Zu2e2vwBvi81iMV5udXR0JB5zNJiZey6y1w8ApkyZ4sZY+1TWJhjgLZLPO+88N8ZqCgBMnTrVjcVyefbs2W7MzNxYLKeOHTtG42nW3d2N1tbWgjHWlhXgucOuVxdccAEdd+nSpW5s+/btboy1kQaAl156yY3FrnWLFi1yY5s2bXJjsfmT97xDqWOjoaury71Ox679bP7M2jkvXLiQjnv99de7sccff9yNHThwgI7LakOstTGbA7NW7KyFNAAcP36cxtNs3Lhxbu2IXVcOHz7sxtjcj+UVALzrXe9yYzfffLMbO3XqFB13586dbix2L8Pm9ew62dzcTMfdtm1bwcfZNTsNQgju8Y7NN71rHAC8+uqrbiw2p2BzJHaOxo41+3li9ZW1An/55Zfd2MmTJ+m4w1Fz9E4cEREREREREZEM0CKOiIiIiIiIiEgGaBFHRERERERERCQDtIgjIiIiIiIiIpIBWsQREREREREREckALeKIiIiIiIiIiGSAFnFERERERERERDJg3Gg+WXd3N9rb2wvG9uzZQ7c1Mzf2lre8xY3V1dXRcVlv+aVLl7qxWF95tr+sX31sn5gDBw7QeFlZWcHH2b6mgZm5+x57HU6dOuXGWltbE++Tl8cAsGvXLjdWUpJ83fT48eM0zn4eFjt06BAdN5avaVZaWoqqqio3xrDcOnHihBvbvn07Hfepp55yYwcPHnRjsfN04sSJboydBwDQ2dnpxk6ePOnG2HEA/Nxpa2uj26WBd65WVFTQ7aZOnerG5s2b58bY6wcAF154oRtjuTxuHL/Md3V1uTFW5wCeN6xexa7LkydPpvE0CyG459uiRYvott51LiaWO7W1tW7siiuucGNXXnklHffIkSNuLHZdmTRpkhubPn26G1uzZg0d1zsXHnvsMbpdsfX09KCjo6NgjB1nAKisrKTjempqaui45513nhtj8252zQCApqYmN8augQCvK1OmTHFj3jygF7u+3nnnnXTbYjMz91obq/+sdqxfv96NrVu3jo7LnpfV/1hONjY2urHYvOLBBx90Y0ePHnVjLK8Af07Arq1pUFJS4u57LG/YnPLYsWNuLHbf5dVAgM9zYvcp7LWIXXdZnF3H2M8CADNnznRj999/P922l96JIyIiIiIiIiKSAVrEERERERERERHJAC3iiIiIiIiIiIhkgBZxREREREREREQyQIs4IiIiIiIiIiIZoEUcEREREREREZEMsFiL5mF9MrMDAHbn/zoVAO8lOPrG6j6dE0KYNsLPkdgZeQOM3ddpMEZrf7KUO2l7jYCxu09Zyhtg7L5Og6GaA9WchFRz0l9z0rY/gGoOANWchFRzVHOSSFXNGdVFnNOe2GxdCOGSojy5Q/uUDWk8Jmnbp7TtTxqk8Zhon7IhjcckbfuUtv1JgzQeE+1TNqTtmKRtf4B07lOxpfGYaJ+yIW3HJG37A6Rvn/RxKhERERERERGRDNAijoiIiIiIiIhIBhRzEefOIj63R/uUDWk8Jmnbp7TtTxqk8Zhon7IhjcckbfuUtv1JgzQeE+1TNqTtmKRtf4B07lOxpfGYaJ+yIW3HJG37A6Rsn4r2nTgiIiIiIiIiIjJwY+7jVGY238yOmVlp/u+Pm9kfFHu/JP2UO5KE8kaSUu5IEsobSUq5I0kobyQp5U5yZ+0ijpntMrOOfGL0/jc7hLAnhFAZQugusM0HzOyXw7wf15nZa2bWamaHzOweM5vTL/63ZrbNzI6a2WYz+73hfH4ZvAzlzpfNbK+ZtZnZbjP7k+F8fhmcrORNv39XZ2YHhvv5ZfCykjtmttbMTp6xn6XDuQ8ycFnJm/y/+TUze9HM2vPXrd8ezn2QwclK7pjZhjP2scvM/r/h3AcZuAzlTZ2Z/buZHcz/9z0zqx7OfZDByVDuzDGzn5pZi5nVm9kfDufzD6eiLOKY2U1mtsXMtpvZZ0fwqW7NJ0bvfw1kn3YB+AKA1Wa2LsmTmdm4Ag9vBHBjCKEGwGwA2wB8o1+8HcCtACbnY2vN7PV+Y9aZ2cOWW+h52Mxqk+zb2WAU8wYYeO58ycxeA/B5AKuSPlnC3PkWgGUAfgRgEoD/ZWa/kR9PedOPas5pedPraeTqzoX9xlPe9KOaUzB3vgzgPwAcB7Crd+Kl3Dmdak5f3pjZ+QD+DcAB5OY8xwC8kI8pb/pRzTk9d0IIK0IIleirOT0AfpgfT7nTj2rOadeqLwKoBXA/gADgNgB/nh9PedOPas6bcue7AHYC+CmACgBfM7Pr8uOlKndGfRHHcr+1+zqAdwI4H8B78hf40Xr+BWYWCryw4wFMA1AOYJmZteb//QTLvVtmj5k1mdk3zaw8H7s2v0r3GTNrBHDXmc8XQmg6I0m7ASzuF/+zEMLmEEIPgL8B8AvkkqbXZwE8GkJYAuDR/N/HnGLnTX4fvNy5A8B0ABWWW1kerdzZEkJoB7AWwHvzD/fGlTd5xc6dtNWc/DhXADgF4C/P2Fx5k1fsvMnvQ6pqTj9rAdx0xmPKnbxi504Ka86fAvhnAP8bubzpDiH0/rJKeZNX7LzJ70Oaa87/DaAUwI/zjyl38oqdOymsOQsB3AvgXwDcCKANwIp8THmTV+y8ye9DamqOmVUCuBa5a9VdAH4Nudz5YP7fpip3ivFOnEsBbA8h7AghnATwA+RWSIvtFIBPA3g6vzpYk3/8rwGcB2A1ci/yHACf67fdTAB1AM5BLuHexHKf92sF0JF/ji87+/A8gOUAOvs9dhuAu/P/fzeA2wf3Y5010po3QG4V9w9RhNyx3Kr5zwA8gNz5/G/5kPKmT1pzpyg1p99F+/3I/Ua8P+VNn7TmDVDEmgPgfyI3Ob4bQP+3pyt3+qQ1d4o1z7k8/+fXkbtWzTWzuvxjyps+ac0boLg1ByGEJwHcAKAt/8srQLnTX1pzp1g15+sAbgHwGoAu5K5V9+djyps+ac0boDg1x3r/zNeclvzfV+b/TFXuFGMRZw6Avf3+Xp9/bCTca7nPvLWa2b2RfxuQeyFXm9kdAGBmBuDDAD4VQmgJIRxF7jfX7+63XQ+APwshdIYQOgoOnPu8Xw2Aqcj9Rmqzsw/fBLAJp99YzQgh7M+Psx+5VcmxaDTzBhh47gQADyH3Ns0ZvQ+OVu6EEL4EoArA/wGgFcCRfEh500c15/S8+TiAZ0MILxTYVHnTRzXnzbnzVQBLkMuLrwCYY2ZX5WPKnT6qOafnzVwA7wPw35D7LacB+Md8THnTRzXHmSObWQVy7xZo7fewcqePas7pefMigDIAhwC8nH/sn/J/Km/6qOb0y538eL9C7uspJiL37q1q9H1CJlW5U+izYiPNCjw2Un3Obw8hPDLAf3sVcqv8HwHwR2a2GbkXtQLAC7m8AZDb//5f5HgghHBiIE8QQmgxs7sBvGJmc0IIXW8MavY3yK30vR+5lVA53WjmDTDw3PlSCOErZvYxAH9lZm/Nr95OwyjlTgghmNlG5ArXXwD4Pwcy5hiimpPPG+QuOB8HcPEA93EsU805o+aEEF58Y2Czx5FbNP4N5CY90kc15/RrVQeAu0IIW81sAXLfjXPzAPd5LFHNceY5yNWZI8h9p5K8mWrO6XnzQwCvIPfOiXMA/BK57zrRF6qfTjXnzbnzXuTeybUXuUWtI/k/U6cY78SpBzCv39/nAnC/FGu0hNzn4wJyb/27B7m3mB1EbvKxIoRQk/9vcsh9ydobmw7yqcYhdyP1xtvQzewvkPsNww1488cbmsxsVv7fzQLQPMjnO1ukMm/Q986XNuTedndp/u+jkjtnMADn5v9fedMnlblTpJpzKYBZADbmPy/8OQDlZtaY/5iV8qZPKvMG6ao5AX2TQOVOn1TmThHnOa+SMZQ3fVKZN0hHzXk/+r4Lp5dyp08qc6eINWcVgH8OuY/eHUcub3sXjpU3fVKZNyhizQkh7A4h3BJCmAbg15FbIHou/29TlTvFWMR5HsASM1toZmXIvQXqviLsR39lZlYFoAm5ZL4RwPqQ+7LhfwHwd2Y2HXij9diNAx3YzH7DzJaaWYmZTQPw/wB4KYTQko//XwD+O4DrQwiHCgxxH3IXL+T//GmyHzHz0pg3JQAm5P+/Fbki0PuWvBHNnfxj/8PMavNvL1yF3GdAH81vrrzpk8bcKVbNuR/AAuQ+S7wawN8BOAFgdch1GVLe9Elj3hSt5uTjv2lmlWZWAuAaADXoOybKnT5pzJ2izXOQ+4LI3zezRQAmIvfb1P/Mx5Q3fdKYN0WtOfl/MxfAdXjzIo5yp08ac6eYNed5AH9guS+8nYBcp6pX8jHlTZ805k2x5znLzawqfzxuB1CZ/zdAynJn1Bdx8m9V+iiAB5H7/pf/CCFsGO39OEM1cm+1+zJyN8KrkHvbHQB8BsB2AM+YWRuARwAsHcTYc5D7Ir+jyH3BVg9yK3u9/hLAfADbzOwUgB0Allvu27U/BOBLAK43s20Ars//fcxJad6UAfismb0C4K8A7AbwHTM7mI+PdO78OoDXAZxEbnJTAuCPlTenS2nuFKXm5D8j3BhCaERuAecTyN1UrVPenC6leVPsmvMJAPuQ+/L9byP3G6/vKndOl9LcKdo8J4TwbQDfQa616wbkvsft7cqb06U0b4pdc4Dc9ym1APh3AEs1P36zlOZOMe+tPojcL6xakTsetQDOVd6cLqV5U+yacyNy9+LH0feFxy+lMXcshJH86JuIiIiIiIiIiAyHYnycSkREREREREREBkmLOCIiIiIiIiIiGaBFHBERERERERGRDNAijoiIiIiIiIhIBowbysZmdhOAf0Cuh/q/hhDotzRXVFSEmpoabyz6XOwLmHt6etxYaWkpHXfcOP8QsHFjXwjd1dWVeFt2LGLHKYkjR47g+PHjwz8wMZjcqaqqClOmTCkYY8cZACZMmODG2LFsbW2l41ZUVLixEydOuLGh7O+kSZPotqdOnXJjLJeHcu7V19cfDCFMowMMo8HWnKqqqjBtWuHdKylJvobNXkd2rAF+PNlrERt3/PjxNM50dHS4saTnEODvc0tLC44dO5bamjNp0qRQV1dXMMauGQA/D9lxHonaDsTrBssb9rMA/FicPHmS71jCfdq5c2eqa86kSZNCbW1twVjsmLDj3dnZGdtVF7teTZw40Y3Fag7L2Vh9Zc/b3d3txmI56e1za2sr2tvbU1tzqqurR+RaxebAQ8kplhtJXyMAKCsro9uy2sDykeVUzK5du1Jdc8rLy8PkyZMLxmLncNLjwq5lsXGHks9sPsLqHJD8vix2bfbibW1t6OjoGLWak+Ra5c1zYtjry2pO7FiymsRisfkvy5tYvWJjj1RzqIaGhgHVnMSLOGZWCuDryLXYqgfwvJndF0LY6G1TU1ODO+64o2AsttjCCtHx48fdmFfYenmTLYDfjMcmYwcPHnRjsaLJChy7wMUKo/e8a9eupdsNt8HmzpQpU/C5z32u4FiHDh2iz3XOOee4MTaJvPfee+m4F110kRvbuNE9BXDgwAE67uLFi93YFVdcQbetr693Y0lv0gF+4fvUpz61m248jJLUnGnTpuHzn/98wVjsgs9qEnsdWd0A+PFk53B7ezsdd/bs2YnGBYD169e7MXYOlZeX03G9ff7yl79c8PGRMtjcqaurwyc+8YmCY3k3Wr0aGhrc2GuvvebGYpOQpIv7l156KR13xowZbqy5uZluy47Fnj173FhsIjd16lQ39r73vS/VNae2thYf+9jHCsZ27dpFn6+pqcmNvf7662w/6bjserVs2TI3xuZWAK8rscXDpUv9jrDslyiNjY10XO9a981vfpNuN9wGmzvTpk1z62LsGs1UV1e7sd27+anEblDY9YjVQIDfjM2fP59uy2oOm9O1tbXRcdk9xgc+8IFU15zJkyfjfe97X8FYbLGFHRf2+rM5A5D7RY2H5WTMokWL3NiqVavotuy+jN3Ix84/777se9/7Ht1uOCXJm7q6Onzyk58sGIvdk7PXl913x34JxmoSuwbOnDmTjrtgwQI3FrsvYzWH3c8PZYHnc5/73IBqzlA+TnUpgO0hhB0hhJMAfgDgtiGMJ2OHckeSUN5IUsodSUJ5I0kpdyQJ5Y0kobwZg4ayiDMHwN5+f6/PPyYSo9yRJJQ3kpRyR5JQ3khSyh1JQnkjSShvxqChLOIUev/um947ZGZ3mNk6M1sXe2uujBnR3OmfN8eOHRul3ZKUG3TNib2FWsYM1RxJYtA1J/axRxkzBlVzdK2SPN1bSRK6Vo1BQ1nEqQcwr9/f5wJ40wdhQwh3hhAuCSFcEvsOChkzornTP28qKytHdecktQZdc4by2Ws5q6jmSBKDrjmx74KRMWNQNUfXKsnTvZUkoWvVGDSURZznASwxs4VmVgbg3QDuG57dkrOcckeSUN5IUsodSUJ5I0kpdyQJ5Y0kobwZgxJ3pwohdJnZRwE8iFw7s2+HEDawbczM7WYQ667AvrGafSu119K8F3sLK+v2c8EFF9Bx2dvxY9+EzVq+DaXdb6xrzmhJkjvet3zHVpJZx56nnnpq0M/Xi33LPev2sm/fPjpu0o5IAD8WrENB7Lc4afloSZK8Afxvwx9KZ7PLL7/cjcXayLMOZPv373djsY5pK1ascGOx3/KybnusDrLufoBfX4fS7jWJJLnj5U2sNrDudA888IAbW7JkCR33LW95ixvbsMH/UWJvmWa5HHtH0uHDh90Yux7FzpGjR4/S+GhJWnM8sZrDujKx8/vaa6+l4z722GNujHUZWbNmDR33yJEjbuyee+6h27IORVVVVW5sKK3rR1OS3PHOi9g8h82B2Zxx27ZtdFxW61gsNlfZsmWLG4vVhrlz57ox9rGi2EeOYm2GR0vSeyvvehW7B2LXBzZvjHURY3ODvXv3urHY68/yeeXKlXTbrVu3urFYbWa8rmhDaaU+WEnvq7y5WKzzKOvYxObO7N4J4LWDzSnWrVtHx33xxRfdWKzjKJsHsboRuycfjnlw4kUcAAgh/AzAz4a8FzLmKHckCeWNJKXckSSUN5KUckeSUN5IEsqbsWf0lglFRERERERERCQxYdcubgAAIABJREFULeKIiIiIiIiIiGSAFnFERERERERERDJAizgiIiIiIiIiIhmgRRwRERERERERkQzQIo6IiIiIiIiISAYMqcX4YPX09KCjo6Ng7NChQ9FtPazHe6x3/F133eXGrrzySjdWW1tLx92zZ48bO3LkCN129uzZbuzEiRN0W8brZx9CSDzmaCgpKcGECRMKxryfqVdlZaUbO3nypBubOnUqHXfGjBlubO/evW7sscceo+NOnjzZjY0fP55uy86D0tJSN1ZWVkbHHTduVMvEsAohoLOzs2As9nOx4+nVMQB45pln6LjseLN9uv766+m4R48eTTQuAEyaNMmNsf09fvw4Hdc7x9Jec0pLS1FVVVUw1tDQQLe977773NjEiRPd2Ac/+EE6rrc/ALBr1y439qd/+qd0XPb6bt++nW772muvubGKigo31t3dTcc9fPgwjadZCMG9LlVXV9NtFy9e7MbY63T//ffTcb0aCAB1dXVubP78+XRcdi7ccMMNdNtt27a5sf3797sxdo0E/JoTy7liCyG4+xib57Cf7dixY27MzOi4XV1dbozNn/bt20fHZfPY2M/K6gobN3YNLCnJ7u+0S0pK3Gs4O14APy5s2x07dtBxWW7V1NS4sdg9G6uhbJ4L8Dn0UOYkWZ3nlJSUoLy8vGBsypQpdNuZM2e6MVbbf/GLX9Bx29ra3BjLm0ceeYSO297e7sauvfZaui27H2Q1h9XI2D4NVHarloiIiIiIiIjIGKJFHBERERERERGRDNAijoiIiIiIiIhIBmgRR0REREREREQkA7SIIyIiIiIiIiKSAVrEERERERERERHJgFHtHRxCcFsWxlodsrbbrCXh1q1b6biXX365G7vlllvcWKy9HmslHWvbyVpCsjaIWW6RmBRrjQwA9fX1boy9DrEW46y17t133+3GYm3CX3zxRTfG8gLguTx9+nS67dnMOy9Ya0CAtwdk7bxjOdnY2OjGWC176qmn6LisnWWs5ixYsMCNHTx40I3FcjKrenp63Dbyzz//PN32Xe96lxtjbcRjefODH/zAja1cudKNvfLKK3Rclhsvv/wy3Za1mF64cCHd9mzm1ZxZs2bR7Vh71ZaWFjcWOw+PHz/uxiorK93YmjVr6LiPPvqoG7viiivotkystf1YE2udzF5f1pL9/PPPp+OyVsEHDhxwYxs3bqTjHjp0yI3F2v0eOXLEjcVa+p7Nenp6Cj4em+fMmDHDjbFt6+rq6LisPf0111yTKAYAra2tbizW0pu1xd6/fz/d9mwUQkB3d3fBGJvjArw9Nju/a2tr6bjLly93Y6wOvvrqq3Tc9evXuzE27wZ4fY2tXYy0sXfXLyIiIiIiIiKSQVrEERERERERERHJAC3iiIiIiIiIiIhkgBZxREREREREREQyQIs4IiIiIiIiIiIZoEUcEREREREREZEMGNUW42bmtgiLtVdlbVBZC9zYuO94xzvc2B//8R+7sX/4h3+g427evNmNsXawAG9ZxlooTpw4kY57Nurs7Ey8bUVFhRubNm0a3fbee+91Y6z1YnV1NR031raRYS0S2fnDWkFmXQjBPWeam5vptqyNPIux1qsAb1F95ZVXurFYi3HWEpK1nweAj3zkI26srKyMbjvWrF69msZZG1OvbTkAfOtb36LjsmvKlClT3NhHP/pROi5rIxxrXc2ur6xdNmtrfTbw2raytqwAsG7dOjfGXuOYuXPnurHy8nI39swzz9BxWa2L1St2/ZXTxVpnsxrd0NDgxmJthFk74KamJjcWmz8tXLjQjc2bNy/xPrFWwGezEILbYtyrRb1YG3HWsrulpYWOy64dsTrIsH169tln6bYrVqxwY5MnT3ZjrK19lpkZSkoKv5cj9hqxttxr1qxxY+PG8WWHWbNmuTH2+t5yyy10XDYHZi3RAd7Wfvr06W4s1rp8OOidOCIiIiIiIiIiGaBFHBERERERERGRDNAijoiIiIiIiIhIBmgRR0REREREREQkA7SIIyIiIiIiIiKSAVrEERERERERERHJAC3iiIiIiIiIiIhkAG/YHmFmuwAcBdANoCuEcMlw7FQhbW1tbqylpcWNXXvttXTcj3/8425s9+7dbuyRRx6h4y5ZssSNTZ48mW7LjBs3pJcsNYYrdw4ePEjj48ePd2M33HCDG2OvPcBfX5arNTU1dNzGxkY3FkKg25aXl7ux0tJSN9bV1UXHTZPB5o2ZuT97WVkZfa6tW7e6sQkTJrixnTt30nHZ8X7uuefc2NSpU+m4TOxnPXDggBvr7OxM/LxpMpjcKSkpwaRJkwrGpkyZQp+nsrLSjT3wwANu7Hvf+x4d97rrrnNj3/rWt9yY93P0YtfPnp4eui27lsW2zYokNce77rDcAIDjx4+7saeeesqNfepTn6LjVldXuzGWz9u3b6fjLl++3I29+OKLdFv2vOy6nSXDNc8pKeG/b21qakq07Zw5c+i47LrB8rG1tZWOu2bNGjc2Y8YMum1HR4cby9JchkmSN978MHb9Zuf4/Pnz3VhFRQUdt6GhwY2tX7/ejb31rW+l4+7bt8+NsXkuwHMndo5lxXDVnNi1ih1LlnNvf/vb6bisrjQ3N7uxWbNm0XG7u7sTxQCeG8W+Jx+OZ78uhMDvpEUKU+5IEsobSUq5I0kobyQp5Y4kobyRpJQ7Y8TZsfQoIiIiIiIiInKWG+oiTgDwkJm9YGZ3FPoHZnaHma0zs3XsrcIy5tDc6Z837ONJMuYMquYcPXp0lHdPUmzANefYsWNF2D1JqUHVnPb29lHePUmxAdccXaukH91bSVKa54whQ/041VUhhAYzmw7gYTPbHEJ4sv8/CCHcCeBOAJg1axb/Ug8ZS2ju9M+bRYsWKW+k16BqzsKFC5U70mvANWfBggXKG+k1qJozd+5c5Y700jxHkhhUzZk9e7ZyR3oNuObMnz9feZNxQ3onTgihIf9nM4B7AFw6HDslZz/ljiShvJGklDuShPJGklLuSBLKG0lKuTO2JF7EMbNJZlbV+/8AbgDgf+W4SJ5yR5JQ3khSyh1JQnkjSSl3JAnljSSl3Bl7hvJxqhkA7jGz3nH+LYTg909FrgVe0rajGzZscGOsPdgtt9xCx927d68b+/KXv+zGYq3sZs6c6cZi7TNZu1/W2jjW8s+Tfw1H06BzxzvesbaAF198sRtjLem+8Y1v0HFZHq9cudKNHTp0iI7Lfp5Yi+na2lo3xr6nIfb6p6jd66Dzhom1BmRteefNm+fGYq0ZH330UTfG2u6eOnWKjstaeq5YsYJuy+ogazMba1/qxYvQfnrQueNdV2I158SJE27spZdecmOXXsp/Yfae97zHjc2dO9eNsfbDAPD666+7Ma9tbS+WkydPnnRjsXMvRe3JE9Uc77jt2LGDbldfX+/G2HUldjxvvvlmN/arX/3KjcXaPW/dutWNLVq0iG7LsLb3rEYC/rHIwjzHy3tWUwBg4sSJbuzqq692YwcP8gY2L7/8sht77rnn3FhNTQ0dl72Gsevn4cOH3Ri7F4gdw1ib4VGUqOZ416VYDWf3FKz9eOw7nFi7dzZXZfMNgM/LYth3wLC5TGyek/TYj4BE9+WFxL5nadKkSW6sqqrKjf385z+n4z744INujJ2jsfsUNm+L5Ry7t2Z1JVZzhuP78xIv4oQQdgBYNeQ9kDFHuSNJKG8kKeWOJKG8kaSUO5KE8kaSUu6MPWoxLiIiIiIiIiKSAVrEERERERERERHJAC3iiIiIiIiIiIhkgBZxREREREREREQyQIs4IiIiIiIiIiIZMJQW44l4bR5Zi0SAt/ReunSpG4u1wfvKV77ixjZt2uTGYu1gWTvoWItats+s/WKsrWNzczONp5nXWm4o7bGfffZZN8ZapwLAwoUL3RhrL79r1y467rRp09zYOeecQ7dlLdPZ+RNrrcnaQWaBlyOstSYAnH/++W5s8uTJbizWRv7cc891Y+wcfeaZZ+i4N9xwgxuLtSdnbVtZvUragjpFLaQHLXY+/OQnP3FjTz/9tBv78Ic/TMe98cYb3Rh7/fbs2UPH3bhxoxuL1deOjg43duTIETdWXl5Ox2UtPbPswIEDNM5qErs2sNoPAGvXrnVjDQ0Nboy1pwb4z8OuOQDQ2Njoxljr1dh1MNbWNYtiNWfJkiVujNV+du4DwBe/+EU39sorr7ix6667jo7LWtfH6hWb07HrCquRADB9+nQaT7uk7aybmpoSbcfaxAPACy+84MZYC+pt27bRcdnPuXfvXrotu16xWOw+ctmyZQUfT1HbelfSe3LWQp5dF2L3Vuz8Z8eT5RTA60bsXoBdj9j1M9b2nB3DgdI7cUREREREREREMkCLOCIiIiIiIiIiGaBFHBERERERERGRDNAijoiIiIiIiIhIBmgRR0REREREREQkA7SIIyIiIiIiIiKSAVrEERERERERERHJgHHF3oFebW1tNM76w9fW1rqxDRs20HGfffZZNzZ37lw3Fuvv3tnZ6cb27dtHty0rK3NjJSX+utuxY8fouHv37i34+MmTJ+l2aVZaWkrjFRUVbmzLli1ujB1ngL+GGzdudGMtLS103BkzZrixHTt20G3b29vd2IkTJ9xYT08PHXfatGk0nlWx3GF15dSpU27s+eefp+OamRvbvXu3G4vlZGtrqxtjuQ4As2fPdmPsZx03jl9Cpk+fXvDx8ePH0+3SrLm5mcafeeYZN7ZmzRo39t73vpeOW1VV5cYOHTrkxpqamui4IQQ31tHRQbedMGGCG2N14y1veQsdd+LEiTSeVcePH6dxdszYnGLXrl103CeeeMKNsfofy53q6mo3xupGbFs294rVjp07dybanzSLnQ8sznKKXYsAYNKkSW7stttuc2O/8zu/Q8edN2+eG2P1CODnwZEjR9zYnj176Lhs2yyL5Q47D9mxfuGFF+i4sdfRw+ZAAL9faWxspNuy+MyZM91YrOZ4c8XYHDPNysvLaXzy5MlurL6+3o3FrinsesTucWL3McuXL3djrM4B/F6goaHBjcXmT+z+dKD0ThwRERERERERkQzQIo6IiIiIiIiISAZoEUdEREREREREJAO0iCMiIiIiIiIikgFaxBERERERERERyQAt4oiIiIiIiIiIZEBqWoyzFsgAb8V14MABN8baPQO8vR5rzchajgHA0aNHEz0nwFsJs7Z9sWPotRqMtS5Os9ixZG3XWUtJ1uobALZt2+bGWLvX2GvEWtJdddVVdFvWQpW131u0aBEdN9a6PqtieV9ZWenGWEtC1soQ4OcwayN9880303EvvPBCGmfYa8xaQm7evJmOO2vWrIKPx9pXplnsZ2atN5csWeLGXn/9dTouiz/wwANu7OWXX6bjdnV1ubFY205m6dKlboydW8DZ2+53zpw5NM5qw4oVK9xYrJXpe97zHjfGWhDHxt2/f78bi7X7nT17thtj17KWlhY6rpdbWZ7nxOYNrC3z4cOH3VhsfjxunH+LsHDhQjcWa8nM5k+xnGNtm9lxis1jstyCnonlPZs3sPuYWPtslgOXX365G4u1RG9ra3Nj3d3ddNvm5mY3xn5Wdg4B/rwtyy3GWXt5gP9sixcvdmOxayC7prB6xeZdAHDeeee5sViL8U2bNrmxPXv2uDHWfhzg8/2Byu5VTURERERERERkDNEijoiIiIiIiIhIBmgRR0REREREREQkA7SIIyIiIiIiIiKSAVrEERERERERERHJAC3iiIiIiIiIiIhkQHQRx8y+bWbNZra+32N1ZvawmW3L/8n7bcuYpNyRJJQ3kpRyR5JQ3khSyh1JQnkjSSl3pNe4AfybtQC+BuA7/R77LIBHQwhfMrPP5v/+maHsSE9PD41XVla6sePHj7uxQ4cO0XGbmprcWFlZmRtrbm6m4x4+fDjRuABw7NgxNzZx4kQ3NnPmTDpuCKHg411dXXS7IViLEc4d72fqdeDAATfGcmrFihV03Pvvv9+NbdmyxY3NmjWLjsvinZ2ddNuTJ0+6MZY3DQ0NdFx2fo2QtRiFmhM7no2NjW7MzNwYy6vYuLfddpsbu+mmm+i4sRrKjBvnXwpqa/25ADsOLF5aWjqwHRu8tRjh3Nm9ezeNs2vOnDlz3FhLSwsdl10X2PFcvHgxHbeqqsqNnThxgm57ySWXuLGLLrrIjS1fvpyO+9BDD9H4CFiLUag506dPp/GSEv/3agsWLHBj1113HR2XXQcrKirc2JEjR+i4L730khurqamh27JrHbuud3R00HF37tw56DGHaC2KPM9hryGbi9bV1dFxr7nmGjfG8pHVqli8urqabsvmq21tbW4sdn1k18ARshYpuLdi9X/+/Plu7MILL6TjPvLII27sxRdfdGN79uyh47L51ZQpU+i27DVm1+2tW7fScU+dOlXw8VitGoK1GOHcie370aNH3djq1avd2I4dO+i4GzdudGPPPfecG4udv+xa1d7eTrdlY7N6FFt/2L9/P40PRPSdOCGEJwGcObu8DcDd+f+/G8DtQ94TOesodyQJ5Y0kpdyRJJQ3kpRyR5JQ3khSyh3plfQ7cWaEEPYDQP5P/uslkT7KHUlCeSNJKXckCeWNJKXckSSUN5KUcmcMGvEvNjazO8xsnZmtG8G3lslZpn/esLfIipypf+6wt3yK9Ke8kaT6507srdkivTTPkaT6504RPvIuGdU/b2Ife5T0S7qI02RmswAg/6f7BTEhhDtDCJeEEC4pLy9P+HRyFhlQ7vTPm9hnpGVMSFRz2Oe9ZcwYdM1R3ggS1pxJkyaN2g5KammeI0kkqjnsO5FkzBh0zYl9f6OkX9JFnPsAvD///+8H8NPh2R0ZA5Q7koTyRpJS7kgSyhtJSrkjSShvJCnlzhg0kBbj3wfwNIClZlZvZh8C8CUA15vZNgDX5/8uchrljiShvJGklDuShPJGklLuSBLKG0lKuSO9oj31QgjvcULvGM4dYS2QAd6OkrXsjrURZm99Zm9RfP311+m4rF1srBU4a/vIWk3GPlM92h8RGI3cib2+7PsJWDvCWAvkRYsWuTH2scHYd22wFrO7du1KvK3XAhEAZsyYQcdtbW2l8eE2WjUn1lqd/dys9fL27dvpuKzlK8tn9hoCwLnnnuvGxo8fT7fdsmWLG2NtElnrYgA4ePBgwcdjrYuTGo3cibUxvfrqq93Y7Nmz3Vis5kyYMMGNLVmyxI3dfPPNdFxWN6ZOnUq33bdvnxtjrW1j10+WjyNhtGoOm6sAvPUuq0erVq2i47K8YxYuXEjj27Ztc2Pnn38+3ZZ9RyJr2xprT+/lMzt/hmI0cif2nSfsmsLOtdj3N7G5Kmu7G7u2srlqrAUx+x4Pdl2Jzb2WLVtG48NttGrOyZMnaZy19F65cqUbu+KKK+i47Dxl912NjY103M2bN7uxWH1lHx9i91Z79+6l43pzpGeeeYZul9Ro5A47HgA/xy+66CI39ra3vY2Oy+a57BoYu09hecXmKgCfX7EaWV9fT8cdjnurEf9iYxERERERERERGTot4oiIiIiIiIiIZIAWcUREREREREREMkCLOCIiIiIiIiIiGaBFHBERERERERGRDNAijoiIiIiIiIhIBkRbjA8nM3PbP8Zaw7EWiqtXr3ZjsTaXrHU5a0n46quv0nFZ6zDWPhPg7c7mzp3rxmLttr32i88++yzdrtjMzG2RHGvLy+KsVWWsNdyCBQvcGGvnGmsDz1772DlSUVHhxlhLx4kTJ9Jxa2pqaDztvJpTW1tLt2PtSofSjnLDhg1ubP369W5s3bp1dFzWKjrWYpzF2bg7d+6k43otqtm5lwY9PT1uC2R2ngG8RldXV7sx1joVAHbt2kXjnlg7bxafPHky3ZbVOnb+1NXV0XFZ29u0KykpcettrNay+s/mFA899BAdl7WDZfOGWDvv7u5uN9bS0kK3ZTWA1dCtW7fScb28O3HiBN2u2EII7usfm9uxY83qVWz+xK797JoRm+dMmTLFjcV+VvY6sp8n1mr73HPPdWN///d/T7ctNnZv5V3HerF7qyeffDLRdgA/v9lrEcvJpqYmNxY7x1mc1eZYPnv1Ne01x8zcn5u1Ywf4+e+1XAeACRMm0HEvueQSN3b11Ve7sVg+Njc3u7FYq2+WG+zeKlbLtm/f7sYefvhhum0vvRNHRERERERERCQDtIgjIiIiIiIiIpIBWsQREREREREREckALeKIiIiIiIiIiGSAFnFERERERERERDJAizgiIiIiIiIiIhmgRRwRERERERERkQwYV+wd6BVCoPEjR464sfXr17uxKVOm0HG7u7vd2Jw5c9zYqlWr6LgnTpxwYy0tLXTbnp4eNzZ+/Hg3VlLC1+S8fvZszDTo6upyX//29na6bVNTkxurrq52Y9OnT6fjXnrppW6stbXVje3fv5+OW1VV5cZirxM7h7q6uhJtBwClpaU0nmYhBJw8ebJgzMzotqdOnXJjhw4dcmOx41VTU+PGWL42NzfTcVndqK2tpdvOmDHDjU2dOtWNxeqgdx5t3bqVbldspaWl7rnIrkUAP9azZ892YxdccAEd9/Dhw26so6PDjbFrEQAcOHDAjU2YMIFuy3KZ1avYuffcc8+5sQceeIBuW2ys5rDXCeCvVWVlpRtjdQMAOjs73djmzZvd2MaNG+m4bP4Uu17V1dW5MZZXsfpaVlZW8PFYzqWBt4/sOAPxOaUn6Zwxtu3KlSsTP2/sHGHbstc4lo9pnwczJSUl7ms1efJkui27XrH639jYSMctLy93Y2zOeezYMToue/1jtYHNZdg+xc4/77qehZzyfrbjx4/T7di9CpursJoSG5fNcWP3+mzuFZsjsfvMtra2RLHhonfiiIiIiIiIiIhkgBZxREREREREREQyQIs4IiIiIiIiIiIZoEUcEREREREREZEM0CKOiIiIiIiIiEgGaBFHRERERERERCQDLNZeeFifzOwAgN35v04FcHDUnnxgxuo+nRNCmDbCz5HYGXkDjN3XaTBGa3+ylDtpe42AsbtPWcobYOy+ToOhmgPVnIRUc9Jfc9K2P4BqDgDVnIRUc1RzkkhVzRnVRZzTnthsXQjhkqI8uUP7lA1pPCZp26e07U8apPGYaJ+yIY3HJG37lLb9SYM0HhPtUzak7ZikbX+AdO5TsaXxmGifsiFtxyRt+wOkb5/0cSoRERERERERkQzQIo6IiIiIiIiISAYUcxHnziI+t0f7lA1pPCZp26e07U8apPGYaJ+yIY3HJG37lLb9SYM0HhPtUzak7ZikbX+AdO5TsaXxmGifsiFtxyRt+wOkbJ+K9p04xWJm8wFsBDA5hNBtZo8D+G4I4V+Lu2eSdsodSUJ5I0kpdyQJ5Y0kpdyRJJQ3kpRyJ7mz9uNUZrbLzDrM7Fi//2aHEPaEECpDCN0FtvmAmf1yBPfpLjMLZra432N1ZnaPmbWb2W4z++8j9fwyMBnKnY+a2Toz6zSztSP13DIwWcgbM5tgZt/K15qjZvaSmb1zpJ5fBiYLuZN/7Ltmtt/M2sxsq5n9wUg9v8RlJW/6xZaY2Qkz++5IPb8MTFZyx8wez+dM7z5uGannl7is5E3+8Xeb2ab8/dXrZnbNSO2DxGUld87Yv2Nm1m1m/zhS+zAURVnEMbObzGyLmW03s8+O4FPdmk+M3v8ayD7tAvAFAKvNbF2SJzOzcSR2NYBzC4S+DuAkgBkAXgPwXTPb1m+7OjN72My25f+sTbJvZ4NRzBtg4LnzJTN7DcDnAaxK+mQJc6cBwBcB7ADwO2a2vt82ypt+VHPeMA7AXgBvA/BDAAsB/KeZLchvo7zpRzXnTf4KwAIAPwIwBcA3zOzi/DbKnX5Ucwp6HLl55y39tlHe9KOaU9BHAfwHgOMATvXbRrnTj2rOaY9fD+CvAWwH0I5c3uzIx5Q3/ajmnK5339BXc4DcfDl1uTPqizhmVorcwsU7AZwP4D1mdv4oPv+C/KrbmS/seADTAJQDWGZmrfl/P8HM/tbM9phZk5l908zK87FrzazezD5jZo0A7nKecxyAf0TuQtT/8UkA/huA/xVCOAbgywDuB1DT7599FsCjIYQlAB7N/33MKXbe5PfBy507AEwHUGG5VdsRzx0ACCH8JIRwL4DnATx8Rlh5k1fs3ElTzQkhtIcQ/jyEsAvAWgBvR25yc3H+nyhv8oqdN/l9SFvN2RBC6EQud3rfhdM7CVLu5BU7d9JUc/rF3w1gS4HtlTd5xc6b/D6kqub0sxbATWc8ptzJK3bupLDm/AVyCwB/g1zedIUQ9uVjypu8YudNfh/SXHO+BqAbwC/yj6Uqd4rxTpxLAWwPIewIIZwE8AMAtxVhP850CsCnATydX4XrXUj5awDnAVgNYDGAOQA+12+7mQDqAJyDXMIV8ikAT4YQXj3j8fMAdIcQtgJACOFJAC8DmNDv39wG4O78/98N4PbB/2hnhbTmDQBsA/CHGN3c6W8Pcu/m6k950yetuVOMmvOGfL0pAVAGYEP+YeVNn7TmDVDEmmNm/wTgAQA/AdAF4Gf5kHKnT1pzpyg1x8yqkbuhej+AjjPCyps+ac0boLjznL9Crt7cCWBSv8eVO33SmjujXnPyCxOXILd49G0A/wVgVu+NPpQ3/aU1b4Ai31vl58g3AWgN4Y0vEE5V7hRjEWcOcm/n71Wff2wk3Gtmrfn/7o3824BcoVltZncAgJkZgA8D+FQIoSWEcBTAXwJ4d7/tegD8WQihM4Rw5uQEZjYPwP/A6QnWqxLAkTMeOwqgtN/fZ4QQ9gNA/s/pkZ/jbDWaeQMMPHcCgIcA/DlyH4kDMCq5E6O86aOaU4CZjQfw98hdoDbnH1be9FHNKfTkIfxPAFUAfgtAG4DOfEi500c153RfAPCtEMLeAjHlTR/VnDf7DIBFyB2H7wOYb2a97/5T7vRRzekzA7l3AP0mgGsA3AxgIoA/7Y0rb94Xezl6AAAgAElEQVSgmuOw3BcuXwbgcL+HU5U77mfFRpAVeGykWmTdHkJ4ZID/9ioANwD4CIA/MrPNADYDqADwQi5vAOT2v/8iy4EQwgky7t8D+HwI4czFGgA4BqD6jMcqkXvrlpxuNPMGGHjufCmE8BUz+xiAvzKzt+ZXb6dhZHNHBk415wxmVgLg/0Xut2Tu59nHONUcR8h1kFiH3ET5IwC+OoD9HktUc3oHMlsN4NcAXDjAfRzLVHPOEEJ49o2BzX6M3E3dzch9FEL6qOb06b1x/8cQwn4zmwDgEHJ58ycD3O+xQjXH93vIfV1F5QD2tyiK8U6cegDz+v19LlJwExFyX64UkLupuQe5t5gdRK4YrAgh1OT/mxxyX3j0xqaRod8B4G/MrDH/+TwAeNpyXai2AhhnZkv6/fvl6PvNJgA0mdksAMj/2ZzwR8y6VOYN+t5J1QagBbm8AUY+d2KUN31SmTtFqjm9v8n4FnK/3fjDM7ZV3vRJZd4gfTWn97fiyp0+qcydItWca5H7Muw9+diHAVSb2Yv5f6e86ZPKvEH6ak7v3Ztyp08qc6cYNSeEcBi54+GNobzpk8q8QTpqzu8B+PEZj6Uqd4qxiPM8gCVmttDMypB7C9R9RdiP/srMrApAE3LJfCOA9SGEHgD/AuDvzGw6AJjZHDO7cRBjn4fcN2uvzv8HALcCuCeE0I7c53w/b2aTzOwqANcDaO23/X3IfY4c+T9/muQHPAukMW9K0Pf9Ra3Iva1uMwCMdO7kxxtnZhORW4EuyT30xheDKW/6pDF3ilJz8v//DeQWi2/F6QvGgPKmvzTmTdFqjplNt1zL1krLfefAW5H7Ev7H8v9OudMnjblTrJpzJ3ILfb2x7yH3sfHe8ZU3fdKYN8WsOTVmdqOZTczPbW5D7jtxHsz/O+VOnzTmTjHnOXcB+Fh+/Grkuin+Zz6mvOmTxrwp6r1VfswrkftY2c/O2DZduRNCGPX/kHtL21YArwP4kxF6jl0Afq3A4wuQW6Ubl//748h9u/QrAF5FbnJxHMDBfHwicp+324HciuAmAB/Px64FUD/I/QoAFvf7ex2Ae5FrgdeO3GfvTiG3Ovoh5ArPo8h9wdOjAOqK8Zql4b/RyJtB5s4zyH2W9BUAG5HrvNEyirnz5/nH+v/XprwpTu5koeYg90VvAcCJfJ3pyf/9kPKmOHkzyNwpWs1B7m3MTyA3qTqV/68LulYVLXeyUHPOePz7+efuUd4UL28GmTvFrjnP53PmZP4/1Zwi5k5Wag5yH/X9p3zOdOf/U94UKW8GmTtFvbfKP/bPAHYC2I8U35NbfmdFRERERERERCTFivFxKhERERERERERGSQt4oiIiIiIiIiIZIAWcUREREREREREMkCLOCIiIiIiIiIiGTAu/k98ZnYTgH9ArsXxv4YQvsT+fUVFRaipqSkY6+7ups9VUVHhxo4fP+7Gurq66Ljjx493Y+PG+YenvLycjsuwcQGgpMRfWzt16pQbi/2s3rjNzc1oa2szuvEwG0zuVFVVhalTpxaMxY5lR0eHG2tra3Nj7DUAgMrKSjfGXiMv/3uxLxrv7DyzG/TA4yzPzZK/9Hv37j0YQpiWeIBBGmzNmTRpUqitrS0YY8ck/1xu7OTJk4liAH+Njx496saGUsvKysrothMnTnRjpaWlbixWt71jeOTIEXR0dKS25pSXl4fq6uqCsVjNYXGWU+y1B/j5zV6HWPMCtk8sL4D4sfD09PTQOMu5AwcOpLrmsHlO0uMF8NdxwoQJbgzgucOOdaxGxq5JzFCuO4xXJ1tbW9He3p7amlNZWRmmTJlSMBbLG/Y6sXMtVr9ZzrF9il0D2fPG5l6x2uGJ5Rt73t27d6e65pSXl4eqqiovFnsuN8Ze/6HMkdvb291YrKawOX3sesVyh83bk+bO0aNHR3WeM9i8mThxYvBep9jPzM5xdk0ZyvyY5VTsGshqDnvtY/vExo3VbXaMm5ubB1RzEs8ozKwUwNcBXI9c663nzey+EMJGb5uamhrccccdBWMtLS30+dasWePGXnrpJTfW2NhIx507d64bq6urc2MrV66k47IkZuMCvBDt37/fjbW2tiYa99Of/jTdbrgNNnemTp2Kz3/+8wXH8m7Qe61fv96NPfTQQ25s0qRJdNxrrrnGjTU0NLix22+/nY7LbtR37NhBt92+fbsbmz17thuLFRpWpD75yU/uphsPoyQ1p7a2Fh/72McKxmbMmEGfjx0Xdh7u2bOHjssmKY899pgbi9XIOXPmuDH2+gPA0qVL3RhbeDx27Bgd1zuG3/nOd+h2w22wuVNdXY33vve9BceKLcROnz7djbGceuKJJ+i47PxmtT82QWE3gMuXL6fbsmsZm+TH8sa7mQWAr33ta6muOTU1Nfjwhz9cMBa79iddOF60aBEdl107Jk+e7MZmzZpFx921axeNM7EFIk9sUfLAgQMFH//mN7+Z6PmSGmzuTJkyBZ/5zGcKjhW7VrGaw26YWQzgOTdtmn9/EbsGHjlyxI3F5l5ssZudP7F8YzeIH/zgB1Ndc6qqqvDbv/3bBWMrVqygz8fuN9hchf1iHQCuuuoqN/bss8+6sdg8d8OGDW5s2bJldFv2C382p4stWHnH4kc/+hHdbjglyZvKykrceuutBWOx82X3bv+UYPdlsWsGm6+87W1vc2Oxa+Dhw4fdGLtni+0Tq6FsHgPwdYKvfvWrA6o5Q/k41aUAtocQdoQQTgL4AYDbhjCejB3KHUlCeSNJKXckCeWNJKXckSSUN5KE8mYMGsoizhwAe/v9vT7/mEiMckeSUN5IUsodSUJ5I0kpdyQJ5Y0kobwZg4ayiFPofYtvep+rmd1hZuvMbB17K5uMKdHc6Z83se+KkDFj0DUn9nZxGTMGVXPY5+5lTNE8R5IaVM2JfcRQxoxB1xxdrwQJ8ubEiROjsFsykoayiFMPYF6/v88F8KYPloUQ7gwhXBJCuCT2GUoZM6K50z9vvC9skzFn0DUn9vl6GTMGVXOG8sX1clbRPEeSGlTNYd/JImPKoGuOrleCBHkT+yJoSb+hLOI8D2CJmS00szIA7wZw3/DslpzllDuShPJGklLuSBLKG0lKuSNJKG8kCeXNGJS4O1UIocvMPgrgQeTamX07hOB/bXhuG/fb7mMdP9i3R7NW0bG2vAcPHqRxzwsvvEDj7Jv7L7zwQrot22fWLSD2s3pdKIbS9jSJJLnjtQZkHVsA4KmnnnJj7C2osW4Qv/zlL93Ypk2b3NjFF19Mx33f+97nxmLfoP6Tn/zEjTU3N7ux2G+OR6oV7GAlrTleh4VY1x72bfb19fVuLNbqkHX8+cUvfpFof2Lx2DuSdu7c6cbmzZvnxmK1I9bVYbQMNnfGjRvndlhYvHgxfS7Wze273/2uG2tqaqLj/u7v/q4bO/fcc90YqwsA79hx0UUX0W1Zy1Y2rte+faDx0ZKk5pSUlLg1NdYemXWvYh8NjdUG1oWTdRKKdbxk7x6Jbcs6d7C6EjuGZWVlBR8f7evYYHPHzNxOQayLCQBs3rzZjbFOqldffTUdl2Hv/vj+979Pt2VdjxYsWEC3Ze8eeP31191Y7FoUmz+PliQ1x8zcvI/93Oy6w47JBRdcQMf98Y9/7Ma8fQXi3YvYebx37143BvAunKwOxu4HvH0azZqTNG+8+Sq7rwZ4Byq27ZVXXknH9boLAjw3Yvfk7N451sGNzZ/ZtYrl+UDiAzGku/cQws8A/GzIeyFjjnJHklDeSFLKHUlCeSNJKXckCeWNJKG8GXvS8WtSERERERERERGhtIgjIiIiIiIiIpIBWsQREREREREREckALeKIiIiIiIiIiGSAFnFERERERERERDJAizgiIiIiIiIiIhkwpBbjgxVCQFdXV8HYtm3b6LZz5sxxYwsWLHBjsXE3btzoxrq7u93YjTfeSMd98MEH3djq1avpthMnTnRj9fX1bqypqYmOe/To0YKPnzx5km5XbCxvamtr6bbz5893Y+Xl5W5s+vTpdNwf/vCHbmz//v1u7J577qHjvvOd73RjFRUVdNtrr73Wjd13331uLIRAxy0pye5ar5mhrKysYMx7fCDY+X/zzTfTbRsbG93Yz3/+czfW0tJCx62srHRjCxcupNuOHz/ejbH6UFVVRceN5VaamVnBx7ds2UK3Y3X40KFDbuwDH/gAHff3f//33RjLG1bnAOBd73qXG+vo6KDbPvfcc27s8OHDbmzq1Kl03CzXHADo6ekp+PiRI0fodix3VqxY4cY2bNhAxx03zp/qsVisRrK6cc4559BtWV1pbW11Y7GacuzYsYKPe69JWnR3d6Otra1gjJ1LAFBdXe3GYvNC5sILL3RjpaWlbmzVqlV03MmTJ7uxWN6wOf2pU6fcGJuXAcDMmTNpPM26u7vdcyZ2vZo7d64ba25udmOxa8Ps2bPd2C9/+Us39sQTT9BxT5w44cbY/BkA2tvb3Ri7TrJ7QcCfB6X9OhZCcOswu68GeI1mrz27vwV4zj3++ONuLHYfy+4FY/fz7JrDag7LVYBfPwcq3RkmIiIiIiIiIiIAtIgjIiIiIiIiIpIJWsQREREREREREckALeKIiIiIiIiIiGSAFnFERERERERERDJAizgiIiIiIiIiIhkwqi3GAb9V18UXX5xoOwBYvny5G1u3bh0dl7VCW7ZsmRtjrckB3tL5s5/9LN127969boy1XxuLWOt5gLfB3LFjhxtjLeIB3jqQtc+Ntbn80Ic+5MZiLYinTZvmxlhbv87OTjpulrH29LGfm7X/Y205n332WTruj370Izc2b948N8ZyA+AtH1kM4O0kY63Nz0YhBLd1ZKzdL2s5edttt7kxdv4CwNNPP+3G1q5d68YOHjxIx7311lvd2Fvf+la6LbsObt++3Y3FWoxnnXfdYa2gAWD16tVujM1lfvrTn9Jxr7/+ejf2R3/0R25s9+7ddNwJEya4sdh5wq6/rBXw9OnT6bhZZWYws4Ix1gYe4G3E2Rwo1vKevYaVlZVuLNY699xzz3VjXrvmXhUVFW6M5ePZjM1zDhw4QLfdt2+fGxvKucbmnKwF/VVXXUXHbWxsdGOxuRe736upqXFj7JqeZSUlJe7rNGvWLLotm6uyc/TQoUN03N/8zd90Y6yFfKzl/aZNm9zYrl276LZsLaDYuaF34oiIiIiIiIiIZIAWcUREREREREREMkCLOCIiIiIiIiIiGaBFHBERERERERGRDNAijoiIiIiIiIhIBmgRR0REREREREQkA0a1xbiZua0Se3p66LaslXR3d7cbi7XIY6136+rq3FisfeYXvvAFN3bFFVfQbbdt2+bGWCu0s7W9opmhrKysYMxrq9jroosucmOsJR1rIQ7wtr0f+chH3BhrnQoA9fX1buxXv/oV3fayyy5zY+wcOdt5tSXWVvDo0aNu7JxzznFjsVbRrL3yokWL3Njx48fpuKzNcCzvWE2K1bqzVQih4OMzZ86k2zU3N7sx1mKabQcADz/8sBv7xS9+4cY+/elP03FZzsXqhneMgLO3FfRAeDWHtd0FgPXr17uxhoYGNzZ//nw67vLly90Yy53XXnuNjrtmzRoaZ1hbbOZszSvWJjrWCnzBggVujM1lhtIG/vzzz3djsRrJWtfHrlWsTp6tc+CYEAI6OzsLxmLHhLWSnjJliht7+eWX6bhsLnvHHXe4sViL+VdeecWNbdmyhW7L2mLPmDHDjbE27FkWQnCvVezaDvD5KJs3vPWtb6Xjbty40Y2xdYCHHnqIjvv888+7MdZeHgAuvfRSN3by5Ek3duLECTrucNA7cUREREREREREMkCLOCIiIiIiIiIiGaBFHBERERERERGRDNAijoiIiIiIiIhIBmgRR0REREREREQkA7SIIyIiIiIiIiKSAVrEERERERERERHJgHFD2djMdgE4CqAbQFcI4ZLYNl7v+fr6errdzJkz3dgjjzzixrZs2ULHveKKK9zYoUOH3FhPTw8d9+1vf7sbe+KJJ+i2ra2tbqy7u5tumxWDzR3v5469Dg0NDW7sqaeecmNdXV103JtvvtmNXXTRRW7spZdeouNefPHFbmzhwoV02/LycjfW2dnpxkpLS+m4aTLYvAkhRHPEs3r1ajc2b948N1ZbW0vHnTRpkhvbvn27G9u7dy8dd9w4v5yz5wR4DlRWVrqxpMe2GAabOyUlhX/HETtf5syZ48aqq6vd2OOPP07Hvf/++93YNddc48ZWrVpFxx0/frwb2717N922ubnZjZWVldFtsyLJPMfLkdj1u6mpyY2x+h/LyYMHD7qxr371q25swYIFdNzLLrvMjdXV1dFt29vb3Zh37mXNYHLHzNxzcfHixfR5qqqq3NiGDRsGsKeFsbxitaGjo4OO29LS4sZi1092zTl58iTdNisGW3PMzK23sbnskSNH3NjUqVPd2FVXXUXHZfd0rM7F5hTs/ii2LZvTbdu2jW6bFcN1b/X/s3fn4XWV1734v0vWZMmyZMm2bMvziG0wBowDBGwzhgQISUNDuG1KRkjapmnSJk2btkmaX3vJTe7N0LQQmgSnNxOEgOMnIUCuMYMdwBMesPE8W7blQZZkybJk6f39sbeigzlrvTpb0jl7W9/P8/gBn6X3PVvnrL323q/P2Wv37t3m81jnDaNHj1Zj1nUXYJ8H1dfXq7HTp0+b8+7fv1+NTZkyxRxrHT8bGxvNsf2tV4s4oeudc/pvSKRj7lAUzBuKirlDUTBvKCrmDkXBvKGomDsDxIXxzx1ERERERERERBe43i7iOADPishaEbkv3Q+IyH0iskZE1rS0tPTy6egCYuZOat40NTXlYPMoplhzKKoe1xzmDaXIqOZYXxOiAafHNcf3dQAaUDKqOdbX5WnA6XHNaW1tzcHmUV/q7dep3u6cqxWRkQB+JyJbnXMvpv6Ac+5hAA8DwOjRo9PfEIcGIjN3UvNm0qRJzBvqklHNGTNmDHOHuvS45jBvKEVGNWfs2LHMHerS45ozfvx45g11yajmVFVVMXeoS49rzogRI5g3CderT+I452rD/9YBeBLA/L7YKLrwMXcoCuYNRcXcoSiYNxQVc4eiYN5QVMydgSXyIo6IlIpIWdf/A7gFwOt9tWF04WLuUBTMG4qKuUNRMG8oKuYORcG8oaiYOwNPb75OVQ3gSRHpmuenzrmnrQFWu1/f94Gj3hdl69atZtxqk7dy5Uo1tmjRInNeq0Wmr1Ww1bb18OHDaszXmlH73qyvBWE/yDh3wp99i/b2dvOJ1q1bp8b27t2rxsrLy815P/7xj6uxl156SY35WsxOmDBBjU2fPt0cu2nTJjVm3ePD1wrYudh84jJS3mhtUn1tBa39qbi4WI398pe/NOddsWKFGrPy2WprDtjtQK2Wj4Bdf62c9d07Rqv3OWhNnnHuaL+3bx+22rkXFRWpsVdffdWcN2o7bytXAbt95tq1a82xFRUVaszKDd/xfvDgwWY8iyKd52jHWt/xymolbbXAHTJkiDnv1772NTVm3U/jjjvuMOe95ppr1Nijjz5qjrVaBVvHQd/xSLvPQxJqjqampsaM5+frp/LWvmS17AWAefP07sRWy95jx46Z81pteX3nI1b9tdpa79mzx5zX97xZ1Gd5AwBXXHGFGbdyx7qOeeihh8x5tXN2AJg/X/9wyObNm815Dx06pMb+/u//3hxbVVWlxrZt26bGtHPILlruWK9BP8kod5xz6v5ktZ4H/Mdwje/617qnXHV1tRo7c+aMOe+CBQvU2I033miOteqZdf3sO+b0xf3zIi/iOOd2A7i011tAAw5zh6Jg3lBUzB2KgnlDUTF3KArmDUXF3Bl42GKciIiIiIiIiCgBuIhDRERERERERJQAXMQhIiIiIiIiIkoALuIQERERERERESUAF3GIiIiIiIiIiBKgNy3G+5SvPXZBQYEas1p8feQjHzHn/dnPfqbGrNabd911lzmv1X7P1/L15MmTasxq62a1+wSAoUOHpn3caiMYB1YbPF8rS8uRI0fU2Jw5c8yxu3btihSrrKw057Xa5D311FPm2PXr16sxqzWf1XYRsNuBJoHWktbXRt5q6b106VI1tnXrVnNeqxW4tX+PHz/enHfkyJFqzPceNjU1qTFrP/G1odTabfvadMeBVhd97X6tFuPWPuxrvfm2t71NjV111VVqzGprDgBbtmxRY7t37zbHWm17reOYr52vr2V2nImI2pK2rKzMHGvljnWO9Pzzz5vzWjV+xowZauz973+/Oe/y5cvVmHU8Aux261bMOi8D9Nria02ea8459Vy2trbWHGu1ibbOZXz7ofX+WseFtWvXmvNax9bXXnvNHLthwwY1ZuW5NS7pREQ9XlnXR4C9P+3cuVON+XLHus6xzlUOHz5szvv5z39ejV1//fXm2NWrV6uxadOmqTHf+ZP2u1rXrXFgHataW1vNsdZ5rNU62zpXAYDt27erMev6yKopADB58mQ15nt/rXOztrY2NeZrTd8X5znxvnonIiIiIiIiIiIAXMQhIiIiIiIiIkoELuIQERERERERESUAF3GIiIiIiIiIiBKAizhERERERERERAnARRwiIiIiIiIiogTgIg4RERERERERUQLk53oDulj9333xm2++WY1ZPecB4Oqrr1Zj99xzjxqbNm2aOe/dd9+txl588UVzbHl5uRobPHiwGissLDTnLSgoSPt4SUmJOS7OioqKzPju3bvV2IkTJ9RYXV2dOe+KFSvU2LFjx9TYxIkTzXlffvllNfbqq6+aYydNmqTGhg8frsamTJliznv69GkznlT5+Xb527Nnjxo7dOiQGmtpaTHnra+vV2P79u1TY+fOnTPntd5/Xz4fP35cjR08eNAcaxk1alTax32/S5w1NTWZ8ba2tkixmpoac97LL7/c3jBFZWWlGbeOrdb2AoBzTo1Z+4F1jAOAsrIyM55U+/fvN+PW793c3KzGdu3aZc47f/58NfbpT39ajVk1BQB++tOfqrGhQ4eaY6+88ko1VlFRocZGjx5tzrt+/fq0j2vnP0kgIma8uLhYjVl1xbd/W2bNmqXGrPNUX7yzs9McGzVvrHNBwD4PeuGFF8yxcXb27FkzXlpaqsasulJVVWXOa70Xa9asUWMzZsww5509e7Yas87pAWDjxo1qzMq7N954w5xXuw5pbW01x8WZ9f4BQHt7uxrbtm2bGqutrTXnHTlypBrr6OhQY77znDFjxqixTZs2mWOHDBmixiZMmKDGfMcqa9/8r//6L3NsF34Sh4iIiIiIiIgoAbiIQ0RERERERESUAFzEISIiIiIiIiJKAC7iEBERERERERElABdxiIiIiIiIiIgSgIs4REREREREREQJEJsW4+PGjTPjDQ0NasxqDfj444+b8x45ckSNXXvttWrM1yLXam2el2evnVktqq22yJMnTzbnveqqq9I+7mtfGWcjRoww41YbTOs99LWcmzNnjhq7/fbb1dhtt91mzrt69Wo15mtrb7Xfu+iii9SY7zW0WhAnma91utVGXGudDfj3w9dee02NWe0VfW2XDxw4EHms1iITsGtzYWGhOa/WttNXA+PMahHvi2/evFmNTZw40ZzXqmXvete71Nijjz5qzmu1XbWOu4DdttNqvek75lhtb5PMV0uttr3PPPOMGjt8+LA574IFCyLFvvzlL5vzWudXw4cPN8da7YCtY5JVewF9/7Na4sbdyZMnzXhjY6MaKy8vV2Nbtmwx57Va61o13Dp3BoCSkhI15msTbbUnb2lpUWNa6/kuF2rNsdqEA9GPxZdccokZv/jii9XYqlWr1NjChQvNeffs2aPGXnnlFXOsdU5ntdT21RztXDLJ11Zjx44141ZNsq7Jffnoi2vuvvtuM97U1KTGfOfHVl2xcs5qWw8A48ePN+M9kdwzaSIiIiIiIiKiAYSLOERERERERERECcBFHCIiIiIiIiKiBOAiDhERERERERFRAnARh4iIiIiIiIgoAbiIQ0RERERERESUAFzEISIiIiIiIiJKgHzfD4jIDwHcDqDOOXdx+FglgEcBTASwF8D7nXP1vdmQ4uJiMz5u3Dg1VlJSosbOnj1rztvW1qbGli9frsYmTZpkzjtt2rTI2zRx4kQ1NmjQIDVWWlpqzlteXp7xnL2RjdwZMmSIGb/ooovU2I4dO9TYmTNnzHmfeOIJNbZ//341tnfvXnNeKx+HDx9ujj18+HCk592+fbs574QJE8x4X8tWzfG9F01NTWrssssuU2PvfOc7zXlvuOEGNWa9/75c37x5sxobMWKEOdZ6Lerr9Zf54MGD5rzaviAi5riospE7HR0dZnzdunVq7OjRo2pszpw55rzXXHONGps8ebIas/INAAoLC9WY71hVVFSkxqzjshXzbVN/yFbNGTt2rBlvaGhQY1Z+XHrppea8H/3oR9WYdfz37ad33323GqupqTHHHjp0SI0NHjxYjY0fP96ct7W1Ne3jS5YsMcdFFYeaY+1PW7ZsUWNjxowx5507d64as44p1rEIsM+vfHlj5eTo0aPVmHVszYVs1RzrmAPY74X1mq1evdqc94033lBj1rl3XV2dOa917n369GlzrHVtlZenf6ZhypQp5rzOubSPt7S0mOOiykbuDBs2zIxbNaeqqkqNzZo1y5z397//vRpbtmyZGvvJT35izmudP/tqzokTJ9TYqVOnIj0n4D8f6ImefBJnMYBbz3vsCwCWOeemAVgW/p3ofIvB3KHMLQbzhqJZDOYOZW4xmDcUzWIwdyhzi8G8oWgWg7lD6MEijnPuRQAnz3v4TgA/Cv//RwDe08fbRRcA5g5FwbyhqJg7FAXzhqJi7lAUzBuKirlDXaLeE6faOXcYAML/jtR+UETuE5E1IrLG9xUVGhB6lDupeeP7iCQNCJFqTnNzc9Y2kGIr45rTXx+DpkRhzQCu9X0AACAASURBVKGoMq45zBtCxJqjfYWQBpSMaw7zJvn6/cbGzrmHnXPznHPzrO85E6VKzRvf9wqJUqXmju8+UURdUvPGd88WolSsORQF84aiSs0d3z1Fibowby4sURdxjorIaAAI/2vfiYqoG3OHomDeUFTMHYqCeUNRMXcoCuYNRcXcGYCiLuIsBXBv+P/3AvhV32wODQDMHYqCeUNRMXcoCuYNRcXcoSiYNxQVc2cA6kmL8Z8BWARguIgcBPAlAA8AeExEPgpgP4A/7u2G+FqZWi3ADhw4oMY+8pGPmPMeP35cjVntU6020gCQn6+/tFb7ccBuvWltr+8+DqtWrUr7uK8FYVTZyB2rvRtgt6a/7rrr1Nitt55/4/c3+8UvfqHGrPa4K1euNOe1cm7+/PnmWCuvrFaRv/3tb815N23aZMb7WrZqju9eS9Z+EbVuAEB1dbUas1qzdnZ2mvMWFBSoMWt7AbuduvW8Vqt1ABg6dGjax1966SVzXFTZyB2rJTNgt4m2WpX6vk6xZ88eNWa1NW9vbzfntfLVdx877ZgC2Pnoa/f7R3/0R2a8r2Wr5ljnBYB97LdavpaVlZnz/vSnP1VjVt752v1aLarPnTtnji0vL480r28/0eK+1z6qbOSOr8W4tT9Ztd93HmsdF6zzp8svv9yc19rew4cPm2Ot1tVWvtbW1prz+tqt97Vs1RzfV2as1/uaa65RYx/72MfMebdt26bGrNrgO8+5+eab1ZjvPa6oqFBjVuvrxsZGc17tXNFqpd4b2cgdq602YF/nXHvttWrMyikAmD17thp7xzveocZGjlRvHwXAzqvJkyebY625rWtQ3/XpyZPn35u624MPPmiO7eI9qjnn7lFCN/boGWjAYu5QFMwbioq5Q1Ewbygq5g5FwbyhqJg71KXfb2xMRERERERERES9x0UcIiIiIiIiIqIE4CIOEREREREREVECcBGHiIiIiIiIiCgBuIhDRERERERERJQA/dNzUTFo0CAMGTIkbczXjjIvT19vGjFihBqz2r0CdptEqz2Yr02ac06N+drVWb/P6NGj1ZivdbnWXu/ZZ581x8WZr1Wtr7WyZubMmWb83nvvVWP19fVq7JVXXjHntVp++lpvWu1Ap0+frsasdoCA3fY27kREbbHpa71ste212iv62kpa+bF79241NnXqVHNeq/W1iJhjb7rpJjU2ePBgNeZr6am1qfS16c41EVFbEmtt07ssXLhQjVltbH2tYLdv367GrOOn1v60i9X23Mc6Do4aNUqNtba2mvOWlJRE3qY40HLHtx9arZmt/dD3ek6YMEGNWcfQK664wpzX2o+tFvMAMHbsWDVmtYM9e/asOe+mTZvSPt7S0mKOizNrXwKA6upqNbZv3z415js/ss5Vly1bpsZ8eW69v5WVleZYa5t37dqlxnx10JevSeXLe+v1tNqEf//73zfnnTRpUqSYL3esfLbOywDgzJkzaqy5uVmNWbUX0M8J4n6eA+jXqnv27DHHWecy1utcV1dnznvZZZepMasV+Pjx4815rTUE63odsH+fvXv3qjHrnA3wrwX0BD+JQ0RERERERESUAFzEISIiIiIiIiJKAC7iEBERERERERElABdxiIiIiIiIiIgSgIs4REREREREREQJwEUcIiIiIiIiIqIE4CIOEREREREREVEC5GfzyUQERUVFaWPt7e3m2Ndee02Ntba2qrHa2lpz3gMHDqix06dPq7HCwkJz3tLSUjXW1tZmjrXmbm5uVmOvvPKKOe+4cePSPn7q1ClzXBx0dnamfby+vt4ct3fvXjXW1NSkxlpaWsx5J06cqMaqqqrU2E033WTOq/2egH8fsfI1L09fr7W2FwAGDx5sxuNMRJCfn77MVVRUmGO1cQBQUlKixqy8AoDKyko1Nnv2bDU2aNAgc14rdwoKCsyxu3fvVmNnz55VY845c96Ojg4zHmcikvZx3/trvSZW7bdyCgDKysoizTty5EhzXmusdrzuYh07rGOVLx99r3Gc5eXlqTXT2pd8ces1sfZ9AHjuuecizWu9h4D9PvqOzQ0NDWqsuLhYjVl1GdD3I+s8MQ46OzvV8w5f7bfOV4YPH67GfDXHOuew9n3fccGqSdaxCABOnjypxk6cOKHGfO+/Vu+ToKOjQ91Xa2pqzLFjx45VY9Y5knUeA9j7v1U3fLk+bNgwNeZ7D616tnLlSjVm1SNAP7/21ftcy8vLw9ChQ9PGfHXWei1XrFihxjZt2mTOax2PrGscXy2ztrexsdEca72P1vW671rfqs09xU/iEBERERERERElABdxiIiIiIiIiIgSgIs4REREREREREQJwEUcIiIiIiIiIqIE4CIOEREREREREVECcBGHiIiIiIiIiCgBxNcKsE+fTOQYgH3hX4cDOJ61J++ZgbpNE5xzI/r5OSI7L2+Agfs+ZSJb25Ok3InbewQM3G1KUt4AA/d9ygRrDlhzImLNiX/Nidv2AKw5AFhzImLNYc2JIlY1J6uLOG96YpE1zrl5OXlyBbcpGeL4msRtm+K2PXEQx9eE25QMcXxN4rZNcdueOIjja8JtSoa4vSZx2x4gntuUa3F8TbhNyRC31yRu2wPEb5v4dSoiIiIiIiIiogTgIg4RERERERERUQLkchHn4Rw+t4bblAxxfE3itk1x2544iONrwm1Khji+JnHbprhtTxzE8TXhNiVD3F6TuG0PEM9tyrU4vibcpmSI22sSt+0BYrZNObsnTq6IyHgAWwCUO+c6ROR5AD92zn0/t1tGccfcoSiYNxQVc4eiYN5QVMwdioJ5Q1Exd6K7YL9OJSJ7ReSMiJxO+TPGObffOTfEOdeRZsyHRGRFP27TIyLiRGRqymMTReQpEakXkSMi8l0Rye+vbSC/BOXOTBF5TkQaRGSniLy3v56f/OKSNyKySEQ6z9uOe1PilSLypIg0i8g+Efkfffn8lLkE5c5fisgaETkrIov78rkpc0nIGxEpEpEfhLWmSUReE5F39uXzU+aSkDth/MciclhEGkVku4h8rC+fnzKTlLxJ+blpItIqIj/uy+enzCUld0Tk+TBnumLb+vL5+1JOFnFE5FYR2RZeeH6hH5/qjjAxuv7UGtu0F8BXAcwVkTVRnkyMxRcRuRbAlDSh/wRQB2A0gOUAPgFgf8q4ShH5nYjsCP87LMq2XQiymDdAz3PnARHZBOBfAFwa9ckyzZ3w538F4NcAngBQBeCXIjI9jDNvUgzAmlN73nb8KCX2HwDaAPwSwFAA/1dEZofzMW9SDNCaY+VOLYD/D8BuAHeLyOsp8zF3UrDm/CFv8gEcALAQwC8ATALwaxGZGM7HvEnBmvOWmvM/AUwE8DiC85wHReSKcD7mTgrWnDflTZfnEVzr3p4yH/MmBWtO2tz5SwCPAWgB0J4yX6xyJ+uLOCIyCMFFxDsBzAJwj4jMyuLzT5TgEw3nv7EFAEYAGAzgIhE5Ff58kYh8Q0T2i8hREXlIRAaHsUUiclBE/k5EjgB4RHnOfAD/jiApzjcJwGPOuVYADwL4CYDilPgXACxzzk0DsCz8+4CT67wJt0HLnfsAjARQEq7aZiN3LgIwBsA3w7E3AmgG8MEwzrwJ5Tp3clFzjG0pBfA+AP8E4PsI8qYJzJu3yHXehNuQ9Zpjcc494ZxbAmA1gN+dF2buhHKdO3GqOc65Zufcl51zewEsBnADgpPiK8IfYd6Ecp034TbEreZsds6dRZA7XZ/C6fpHLeZOKNe5E6eak7JNHwCwLc145k0o13kTbkOsak6KxQBuPe+xWOVOLj6JMx/ATufcbudcG4CfA7gzB9txvnYAfwvg5XBVriJ8/GsApgOYC2AqgBoA/5wybhSASgATECRcOp8B8KJzbmOa2LcBfEBESgDsAnAVgouqLncC6Foh/BGA92T4e10o4po3ALADwSeospk70vU/zrkXAZwMH7s4fJh50y2uudOfNWdkeHDbIyLfDBdvEM7b4ZzbnpI3ZwDMDuPMm25xzRugf2uOljup9iP4NFcq5k63uOZOLmrOH4Q1Jw9AIYDN4cPMm25xzRsghzVHRP4TwNMIPnV8DsBTYYi50y2uuZOTmiMiQxF8iuNeBOc4qZg33eKaN0Buz3P+J4J68zCA1FiscicXizg1CD5a2+Vg+Fh/WCIip8I/Szw/6xAUmrkich8AiIgA+DiAzzjnTjrnmgD8G4APpIzrBPAl59xZ59z5hQIiMg7A/XhzgqV6AcEFVCOC12IT3ryIU+2cOwwA4X9Hen6PC1U28wboee44AM8C+DKA6q4Hs5A7WxF8De9zIlIA4DoAJeEfgHmTakDVHAS5MRfBVzRvQPAv3v8njA0B0HDez3cCKAv/n3nTbcDVHNi548Pc6caakyZvwmPVtwCccs5tDR9m3nRjzUmTO865P0dwjPpjBOfKZ8MQc6cba86b8+arAH7gnDuQZizzphtrzltz5+8ATEbwOvwMwHgR6fr0X6xyJxeLOJLmsf5qkfUe51xF+Me3WvZ2BMmyGcBfiMgCBB8BLAGwtivpEPxrwIiUccfCr0JpvgXgX5xz5184QUTyADyDYLWvFMBwBPeoqD7/ZymreQP0PHcecM5dDuB/Axgd5g3Qz7njnGtHsAJ8G4AjCD5m3LUQSG82oGqOc+6Ic26Lc67TObcHwOcB3BWGTyOoMany8OaFYwoMuJrjyR3qOdac8/ImPN/5vwj+ZV69h8YAx5qj1BwX3PR0DYKv53wyk19ygGDNCfNGROYCuAnB7QbIxppzXs1xzr3qnGtywdc4f4ngvjjvivLL9rdcLOIcBDAu5e9jEYMDugturuQQnGA8ieAjZscRftUgJenKnXNDUod6pr4RwNcl6Dx1JHzsZQk6wlQieC2+G64YnkBw87aylPFHRWQ0AIT/revdb5pYscwbdH+qoRHBV1Pmh3/v79yBc26jc26hc64KwUdGCwGsCn+OedMtlrnTjzXnLU+F7gP1dgD5IjItJV6M7q82MG+6xTJv0L8153ypuePD3OkWy9zJUc3p+tfTHyD4B6pPnPezzJtuscwbxK/mdP2rOHOnWyxzJ0c1ZxGCm2HvD8+dPw5gqIisC+PMm26xzBvEr+Z0xWOVO7lYxFkNYJqITBKRQgQfgVqag+1IVSgiZQCOIkjmdwB43TnXCeC/AHxTREYCgIjUiMg7Mph7OoI7a88N/wDAHQCedM4dB7AHwCdFJF9EKhDcdDR1BXEpggt0hP/9VZRf8AIQx7zJA1AU/v8pBB+r2woA/Z074XxzRKRYgvspfRxBF5DF4c8xb7rFMXf6reZIcGO38RIYB+ABhO+/c64ZwSf//kWC7wBfgbBDVTicedMtjnnTrzXHyp0wni8ixQAGhdsi0n0zQuZOtzjmTk5qTuhBADMRHL/OnjecedMtjnmTs5ojIiNF5AMiMkSCG7AuAFAB4LlwOHOnWxxzJ1c152EEC31d584/QfBp4675mTfd4pg3uaw5FSLyjvDaKh/BPXBKEXxrBohb7jjnsv4HwceStiO4ke8X++k59gK4Kc3jExGsuuWHf38ewd2lNwDYiGBHbwFwPIwXI/i+3W4EK4JvAPirMLYIwMEMt8sBmJry97nhNtQjOLk5g2DF+iCAjyJoqbgMwQ2elgGozMV7Foc/2cibDHPnFQTfJd0AYAuCu+CfzGLufD3Mm3YEC3/MmxzmTlxqDoDPAjgUznkAQXezspR4JYAlCG4Q2RH+l3mTo7zJMHf6teb0IHe+HG5P6p9G5k5ucicJNQfBzSUduo9RneHfTzBvcpM3GeZOzmoOgq9IvIDgQq49/MPjVQ5zJwk157yf+1n43J3Mm9zlTYa5k+uaszrMmbbwT2xrjoQbTUREREREREREMZaLr1MREREREREREVGGuIhDRERERERERJQAXMQhIiIiIiIiIkoALuIQERERERERESVAvv9HdCJyK4BvI2g3+n3n3APWzw8ZMsRVVVWljXV0dJjPVVpaqsYKCgrU2KlTp8x5Ozs71digQYPU2Llz58x5rbFlZWWRt+ns2fO7c3azXgcAEJG0jx89ehQNDQ3pg/0kk9wpLS11FRUVaWO+96GpqUmN5eXpa5hDhw415x08eLAaa2hoUGPl5eXmvFZu+HLZukm59bv6XkPLwYMHjzvnRkSeIEOZ1pzi4mKnvaba/tDF2g+t19p3s3jrea2xVk0BgKKiIjXme4+j5oCv5mgaGhrQ0tIS25pjHat8eWPta9Z7aL1/gJ0bVp2zYoC9vdY+4GPVSF8uW5Jcc3ys/bC9vV2NtbS0RHo+wD63Ki4uNscWFhZGfl7rnM/6XfPz7dNWbd7Tp0+jtbU1tjWntLTUVVZWpo31Zj+0Xue2tjZzrFXfrbphnacCQElJiRrz1cEzZ86oMV9ttlj19fDhw4mtOb7XxIpb77+vNljzWvu39f76tsm3n1j5bo31nedoudPU1IQzZ85kreZkmjfl5eWuuro6bcz3Wlp1xTr2+86PrXMD6zhn5RRgH1t95yNRz8utGumzb9++HtWcyIs4IjIIwH8AuBlB663VIrLUObdFG1NVVYV/+Id/SBuzLnwB4Morr1RjNTU1amzJkiXmvNYJrnZABYBjx46Z81oncYsWLTLHWom6b98+NTZq1ChzXi3ZPvWpT5nj+lqmuVNRUYFPfOITaec6ceKE+VwvvPCCGrNOFm655RZz3jlz5qixp556So3ddttt5rzXXXedGlu6dKk51ipi1on68ePHzXmtQvSZz3xGT8g+FqXmlJWV4X3ve1/amO9iwNoPrZMB34mx9bzWe6gtZHaZNm2aGvPtJ0eOHFFj1vuvnQD4xj7yyCPmuL6Wae5YxyrfCZ11YastDAHAhAkTzHmtk6bly5ersRdffNGc19re1tZWc6zlkksuUWO+RXIr5z772c/GvubceeedaWO+kzrrvMLaR1977TVzXut5L7/8cjU2ffp0c95x48apMV99PXnypBo7evSoGrP2IQBobGxM+7jv+NnXMs2dyspK/PVf/3XauXyLdNYFs/Z6APb5JGCfW1sX8Tt37jTnnTdvnhrz1cEtW9RdL/I/KgB2ff3yl78c+5rz3ve+N23Md4FqvY8jR45UYzNmzDDntY4rVi3buHGjOe/o0aPVmG8BaP/+/WrMWni0XgdAX/B49NFHzXF9KUreVFdX4zvf+U7amO+1tK7Zresj3wc2hgwZosbWrl2rxnzXMVbODRs2zBxrbbN1rW9ddwF23f7IRz7So5rTm69TzQew0zm32znXBuDnANKfuRC9GXOHomDeUFTMHYqCeUNRMXcoCuYNRcG8GYB6s4hTA+BAyt8Pho8R+TB3KArmDUXF3KEomDcUFXOHomDeUBTMmwGoN4s46T4H9JYvjonIfSKyRkTWnD59uhdPRxcQb+6k5k1zc3OWNotiLuOa05uvg9AFJaOaw2MVhTKuOb6PodOAwfMcioLnORRFxnnju40JxV9vFnEOAkj9QvRYALXn/5Bz7mHn3Dzn3Dzru240oHhzJzVvfN8rpAEj45rju/keDRgZ1RweqyiUcc2xbupIAwrPcygKnudQFBnnja/RCsVfbxZxVgOYJiKTRKQQwAcAZPfOcZRUzB2KgnlDUTF3KArmDUXF3KEomDcUBfNmAIrcnco5d05E/hLAMwjamf3QObfZGpOXl6feCd13B3Wr48tDDz2kxnx3B7c6Oml3eweAHTt2mPNaH1MbM2aMOda6+7rV1cP3kUrtNe5N+8ooMs2dc+fOqZ0srC4WAHDPPfeoscOHD6sx3x3yrY4vViegW2+91ZzX+ki1dWd9ANi7d68au/TSS9WYrwVxb9oB96UoNSc/P1/tMufrkFNfX6/GrPfipptuMuedMmWKGrPuVj9ihN1t0OoGtGzZMnPsG2+8ocasu/5brWIBvW73pvViFJnmTmdnp7ov9uZTOla3H99XuF5++WU19tvf/laN+br5jB07Vo1ZHYQAu2uOVct8n1bxtRnOlqjnOdp+4Wuvau1rVheMu+++25z3xhtvNOMa65gCANu3b1djvm6Z1qcHrLFRP+mU7eNYprnjnDPbo1uifoWvtvYt/1D/JlbXFuuTQ77W85MmTVJjvo5ou3btUmNWd8fetBHOpig1p7OzU63Fvtfz0KFDasza/30dL4cPH67GVq1apcYuu+wyc9758+erMV+baau+Wq/DzJkzzXm15/V16OtLUfNG68pldWcGgIkTJ6oxa//+9a9/bc67YsUKNWadN+7evduc19q/L7roInOsdayyrvV954p9cUzqVYY5554CoPdTJlIwdygK5g1FxdyhKJg3FBVzh6Jg3lAUzJuBJ7v/HEpERERERERERJFwEYeIiIiIiIiIKAG4iENERERERERElABcxCEiIiIiIiIiSgAu4hARERERERERJQAXcYiIiIiIiIiIEiB7TewB5Ofnq73nOzo6zLGPP/64Glu/fr0a++AHP2jOe80116ix0tJSNTZ58mRz3qlTp6qxrVu3mmN9veU1JSUlZry+vj7t4yIS6fmyJS8vT30vrrrqKnPs0KFD1djTTz+txoYPH27Ou337djVmbZOW/10mTZqkxs6dO2eOnTJlSqSxZWVl5rxNTU1mPO6cc2kfP3jwoDlu0KBBamz+/PlqbNy4cea8hw8fVmM7d+5UY2PHjjXn3bdvnxp7/fXXzbFWzSkuLlZjJ0+eNOdta2tL+7gvl+NAy5vTp0+b46yas3z5cjW2ZcsWc17ruHHDDTeosdmzZ5vzWs/b0tJijrVYr0Nra6s5tqCgIPLzxkF+fvpTq9ra2kjjAGDBggVqzPd6rlq1So1Z27Rjxw5zXm3/BoDp06ebY0eMGKHGrHMZX25o+23ciQjy8tL/u+qZM2fMsVY99Z0XWg4dOqTGmpub1diJEyfMea1j66WXXmqO3bVrlxrbvHmzGrOOY4Cdy0mgncfv2bPHHGfVnHe+851qzLefWced++67T40dOHDAnLc3Ncc61h07dizScwJ6/e3s7DTHxYF27T1r1ixznFW/n3zySTXmu/5duHChGquurlZj2vVtF6sm+c5HtboM2NfP7e3t5rzWGkNP8ZM4REREREREREQJwEUcIiIiIiIiIqIE4CIOEREREREREVECcBGHiIiIiIiIiCgBuIhDRERERERERJQAXMQhIiIiIiIiIkqArLYYd86pLdfq6urMsVbL5yuvvFKN/eM//qM577e+9S019vWvf12NffKTnzTnLSoqUmO9adtptTObMWOGOW9S5eXlqe0hrbbaAPDEE0+oMau1tq8t4xVXXKHGrPf3mWeeMee12lNPmzbNHLt//341ZrUKtloBXwi0fcZqqw3YbQetNpgvvviiOe+SJUvU2OTJk9XYn/zJn5jzrl69Wo2tW7fOHHvrrbeqscLCQnPshUproaq15OxitYm3WuBabXcB4FOf+pQas9pyWvkGAJMmTVJjvuNyRUWFGktCe9X+YLWKtlqVAsDUqVPVmFWPfK3LN27cqMbmzZunxnzHHKvN8NmzZ82x5eXlaszXMv1CpR2rfC1wrdeypqZGjVnHDAA4deqUGrPOu32sc6RNmzaZY60W877X6ULlnFPbGVu5AditogcPHqzGGhoazHm/853vqDHrWOdrE/7GG2+oMV9r+6ampsjPe6HS3gtfy26rdvz3f/+3Grv88svNeW+55RY1tnbtWjXmO9+wrnN85zlWbljHOes6oa/wkzhERERERERERAnARRwiIiIiIiIiogTgIg4RERERERERUQJwEYeIiIiIiIiIKAG4iENERERERERElABcxCEiIiIiIiIiSoCsthgH9DZg+fn2plitDufOnavGrHZ0ALB37141ZrVe9bXdtdqzWdsL2O0Xfa/ThUhE1N/7zJkz5tjS0lI19sgjj6ixBQsWmPN++MMfVmOPP/64Glu6dKk57/Dhw9XYu9/9bnOslXNHjx5VYxd6i3FNW1ubGbfalVqvp6/1ptVG/I477lBjvnaFe/bsMeMWq6XvQG3bqrXetNoqA0BLS4saO378uBqz2oQDdm349re/rcasdp8A8NBDD6mx2267zRxrHav27dunxnzt1C9UY8aMMeNWO2irjbjVOhewW8FfdNFFauzZZ58157We12pdDEBtiQwAxcXFauxCPgfSWoxPnDjRHGfllVWPRo0a1aPtSueyyy5TY772xOvWrVNj1jkbYOeV1e63rKzMnDfJ8vLy1H2mo6PDHGvV8G3btqmxl156yZzX2r9vvfVWNWbVOQB48cUX1Zgv766++mo15nudLlTaNbn13gPAypUr1djp06fV2KxZsyLP+93vfleNXX/99ea81dXVaiwvz/48S1FRkRnPJX4Sh4iIiIiIiIgoAbiIQ0RERERERESUAFzEISIiIiIiIiJKAC7iEBERERERERElABdxiIiIiIiIiIgSgIs4REREREREREQJwEUcIiIiIiIiIqIEyO/NYBHZC6AJQAeAc865eb4xgwYNSvt4c3OzOW7RokVq7H3ve58a++pXv2rOu3Tp0khjFy5caM570UUXqbG9e/eaY19//XU1Vl5ebo5NikxyxzmH9vb2tLFNmzaZz9PR0aHGvvjFL6qxuro6c96tW7eqsT//8z9XYy+99JI57+zZs9XY2bNnzbFDhgxRYy0tLebYpIhSczTFxcVmfNSoUWqspqZGjVm5AQC33HKLGhs7dqwa+8UvfmHOu337djU2Z84cc6y2fwH2PlRYWGjOGyeZ1pxz586ljfmOVQ0NDWps8ODBauyaa66JPO83vvENNTZz5kxz3urqajXW2tpqjrXi2usH6OcBcRSl5uTlpf/3Meu1BuzX7Nlnn1VjGzduNOe97bbb1NiDDz6oxmbMmGHOO3r0aDXmO1fx1d8LQSa5IyLIz09/Sl5SUmI+T1NTkxo7cOCAGvPNYdhR4QAAIABJREFUa72/1j5cX19vzqvtH4D9uwBAW1ubGuvs7DTHJkWmNcc6XvmuN44fP67GTp8+rcbe9a53mfNatW7q1KlqzHf+ZJ3nWsdXAKisrFRjF0o9ipI76ezevdt8nsbGRjV2zz33qLG3ve1t5rx/9Vd/pcasc6Dhw4eb81q1zjfWyjlfvepvvVrECV3vnNOrAJGOuUNRMG8oKuYORcG8oaiYOxQF84aiYu4MEPw6FRERERERERFRAvR2EccBeFZE1orIfel+QETuE5E1IrLG+vgVDThm7qTmje/rCzSgZFRzLpSvkVGfYM2hKDKqOWfOnMny5lGM9bjmWF9doQEno5rj+9orDSg9rjnW15MoGXr7daq3O+dqRWQkgN+JyFbn3IupP+CcexjAwwAwderU9F++o4HIzJ3UvKmpqWHeUJeMas7o0aOZO9SlxzVn7NixzBvqklHNGTVqFHOHuvS45owfP555Q10yqjlVVVXMHerS45rDa/Lk69UncZxzteF/6wA8CWB+X2wUXfiYOxQF84aiYu5QFMwbioq5Q1Ewbygq5s7AEnkRR0RKRaSs6/8B3AJAb6tEFGLuUBTMG4qKuUNRMG8oKuYORcG8oaiYOwNPb75OVQ3gSRHpmuenzrmnfYO0drW+exBYbcmOHTumxh555BFz3rvuukuNXXnllWrM1yrUavdrtVcEgKqqKjVmtcjz3XNIa0GotZjrRxnljtU+8eTJk+YTWXl14403qrGDBw+a81qtN1euXKnGfO+9Zd++fWY8fD3TstpE+9qMnjhxwt6w7IlUc6Ky7m1htW21XmvAzoFTp06psZ07d5rzWrXBylcAqKurizRvUVGROW9BQUHax61c7ScZ5Y6IqNvo21/mzdM7ei5YsECNWW3eAeArX/lKpLH333+/Oa/V1t7XZtSqDdZxxdcK2PdaZFGkmqPlju8eXatWrVJj1jnFnXfeac5r1aTrrrtOjRUWFprzWnXF13p16NChasy6V4OvPX0Ozmc0GZ/naO9TbW2t+UTWsUqrwQBwySWXmPNa79GKFSvU2JgxY8x5rfbzw4YNM8da9w7SWrQD/ppivU5ZlnHNsdrT+479VtxqTz5lyhRz3kWLFqmxbdu2qTHf+aZ1HjRjxgxzrHXeYZ3nWDEAOHv2bNrHffWzH2SUO52dnWhra0sb812rXHvttWrs5ptvVmPPPfecOa91Djxt2jQ15rtms9rajxo1yhyrXX8Cdmv6qOfHmYi8iOOc2w3g0l5vAQ04zB2KgnlDUTF3KArmDUXF3KEomDcUFXNn4GGLcSIiIiIiIiKiBOAiDhERERERERFRAnARh4iIiIiIiIgoAbiIQ0RERERERESUAFzEISIiIiIiIiJKgN60GI9Eaw/pa4O3YcMGNeZrWWaZNWuWGtNarwH+1tZWC1Vfq+CJEyeqMavVna+lZ4za/WbEap/oa1VrtZVbvHixGnvjjTfMee+44w41NmTIEDU2adIkc16rTZ6vhZ7W5hAABg8erMZ87fV27NhhxuMuastZqw2m9V5cfPHF5rytra1q7De/+Y0aO3TokDmv1S7WN9Zqm221ULRa0CaZc07NG6s9LgBUVVWpsdLSUjW2fv16c949e/aosX/+539WY3/6p39qzmu17H399dfNsdbvY7X0tY6tQPyPST7aceno0aPmuNdee02NTZgwQY35as66devU2ObNm9XY1Vdfbc5rtT33sc6hjh8/rsZ8+5/WGtdqsx4XWt772qo3NzersTlz5qgx37xWi2mrzlmtvgE7l7ds2WKObWlpUWPW7+N7/33XIHFmtaf3nf9YuXP55ZerMavtMgDU1dWpMasO+q6tbr/9djV2/fXXm2Ot38dqbW8dIwF9P7HOneLAurayrkMB+1rGak/+ve99z5x3+fLlauxDH/qQGrOucQD7uNHQ0GCOteqZ9by+69O+wE/iEBERERERERElABdxiIiIiIiIiIgSgIs4REREREREREQJwEUcIiIiIiIiIqIE4CIOEREREREREVECcBGHiIiIiIiIiCgBuIhDRERERERERJQAevPzLLP6ygPAunXr1NiaNWvU2PXXX2/OW11drcYmTpyoxtra2sx529vb1djZs2fNsbt371ZjI0eOVGMFBQXmvOPHj0/7+KBBg8xxcVZRUWHGnXNqbPXq1WqspqbGnFd7LQH7fSgrKzPnPXr0qBqbPHmyOXbo0KFq7NChQ2qsuLjYnHfWrFlmPKlExIxPmjRJjVVWVqqx0tJSc96WlhY1VldXp8ZGjx5tzjt27Fg1dubMGXOspbm5WY35ckerg756H2f5+fZh88SJE2rsyJEjamzJkiXmvDfeeKMau//++9VYa2urOe/TTz+txrZt22aOraqqUmNDhgxRY9bxHLD3ryQ7efJk5LG33367GluxYoU51spJ632yjhuAfR40fPhwc2x9fb0amzlzphqbPXu2Oe+5c+fSPv7888+b4+LMOi8A7Ho6atQoNfbyyy+b81rnSOPGjYv0nADQ0NCgxqzzX8D+Xa3zq6KiInPepqYmM55Uvt97xIgRamzevHlqbMuWLea869evV2PWMcl3PXLFFVeoMV/eHTx4UI099thjkcYBQGdnZ9rHe1Pvc23q1Klm3Hqtf/zjH6ux119/3Zz3qquuUmPWNbl1LQ/Y58e+czqr/u7du1eN+fYRX772RHLPpImIiIiIiIiIBhAu4hARERERERERJQAXcYiIiIiIiIiIEoCLOERERERERERECcBFHCIiIiIiIiKiBOAiDhERERERERFRAsSmxbjWoq3LqVOn1Fhtba0au+6668x5n3zySTX2xBNPqDFfe+Kf/exnaszXus1q6TtlyhQ1tmjRInPeVatWpX3cavUZd1arb8Bu/2a1bF64cKE575gxY9SY1QrYajEMAJdccokae+GFF8yxmzZtMuMaX2tNX8vspPK13dZa1QJ662wA6OjoMOe12hVabRDvuOMOc16rhg4bNswca7WLtVqQlpeXm/Nu3Lgx7eM///nPzXFxZrVVBux6un37djXma9f+6U9/Wo1ZrXWtdp+A3fKzsbHRHGu1CrfayPqOn1Z9TTLrPAYAJk2apMaslt2+VqVWXbGOOVaLYcCuDVYraMBuF2u1Pd+3b585r9Yq2KrZcefLG6u9rtXm+Pe//705r7UPT5gwQY1VVlaa8+7Zs0eN+doy19TUqDHrXKWiosKc90KtOb72yYWFhWrM2mecc+a8W7duVWPWdZfv2LBmzRo1ZtUywK6h1j7ma3teUlJixpPIuj4C7NekoaFBjd17773mvHPmzFFj1jnu2972NnNeK8937dpljrXOc6w24tbrAPTNMYmfxCEiIiIiIiIiSgAu4hARERERERERJQAXcYiIiIiIiIiIEoCLOERERERERERECcBFHCIiIiIiIiKiBOAiDhERERERERFRAnARh4iIiIiIiIgoAfJ9PyAiPwRwO4A659zF4WOVAB4FMBHAXgDvd87V92ZDGhsbzfjZs2fV2N133x0pBgBz585VY6+++qoaO3jwoDnvwoUL1dj06dPNsadOnVJjw4YNU2Pz5s0z5/3973+f9vFf//rX5riospE7w4cPN+PNzc1qzHot29vbzXn379+vxl555RU1VlVVZc574MABNbZt2zZz7MaNG9VYfr6+q/vypq2tzYz3tWzVHOs1AYDS0lI1du7cOTV2+vTpyNu0YMECNXb55ZebYydOnKjGrN8FsPeTuro6NbZy5Upz3l27dqV9vKWlxRwXVTZyp6mpyYwfO3ZMjS1ZskSN+d5fqzasX79eja1bt86c19pe33HZMnbsWDVmHR8B+xj57W9/O/I2abJVcwoLC834zJkz1dhzzz2nxkaNGmXOW1JSosZeeuklNWblKwAMGjRIjYmIOXbSpElmXLNnzx4zrtXfkydPRno+n2zkzpgxY8x4WVmZGrPOZerr7U3avHlzpG3y5bl1jus7R9q3b58as2pkTU2NOW9RUZEZ72vZqjmdnZ1mvLa2Vo1Z+5rvnOLo0aNq7L3vfa8ae/e7323O+573vEeN+fLOOnZbtWzDhg3mvDt27Ej7+PLly81xUWUjd3x11roGss6Pr7nmGnPeadOmqTHrGsg6hwXsc1XftZW1/mDljfW7AMC4cePMeE/05JM4iwHcet5jXwCwzDk3DcCy8O9E51sM5g5lbjGYNxTNYjB3KHOLwbyhaBaDuUOZWwzmDUWzGMwdQg8WcZxzLwI4/58w7gTwo/D/fwRAXxqlAYu5Q1Ewbygq5g5FwbyhqJg7FAXzhqJi7lCXqPfEqXbOHQaA8L8jtR8UkftEZI2IrOnNR7PpgtGj3EnNG9/H5GhAiFRz+utrO5QorDkUBWsORcWaQ1FEqjnW1z1owMi45vCaPPn6/cbGzrmHnXPznHPzhg4d2t9PRxeI1LzxffeWKFVq7lj3giBKxZpDUbHmUBSsORRVau5k+34+lFy8Jr+wRF3EOSoiowEg/K9+50uiN2PuUBTMG4qKuUNRMG8oKuYORcG8oaiYOwNQ1EWcpQDuDf//XgC/6pvNoQGAuUNRMG8oKuYORcG8oaiYOxQF84aiYu4MQD1pMf4zAIsADBeRgwC+BOABAI+JyEcB7Afwx73dkIKCAjM+efJkNTZixAg19pvf/Mac12p1OHjwYDV2/Phxc17re/G+dmbWRyOtlpC+VtBaa8b+aiGdjdxpaGgw4+PHj1djF198sRr73e9+Z8579dVXqzGrteKVV15pzmu1QXXOmWOt1n1W682XX37ZnNfXgryvZavmWK0BAbsmWW3EV69ebc5rtfS02vJ+73vfM+e12sz69vEzZ86YcU11dbUZz8tL/+8EVt3tjWzkju/rMtb9Cax6ZbWIB6K3R+3N/ut7n/Lz9VMI66Pas2bNMue19q/+kK2aY7UQB+z30arh5eXl5rwjR6q31sDUqVPVWGVlpTmvdR8X3/HKajFu1UHrvAzQj6Ff+EL/NGvJRu746uyQIUPUmFXbe1NzrHNc33tvtRG3zssAu2W6VXt9943J9n1lslVzfPfosq4prLbs1157rTnv+vXr1ZhV333HHOua7sSJE+ZY69pr165dasx3PNJy0nedGFU2csfXYtx6LQ8dOqTGrHMGANi9e7cau+SSS9SYVasA+7raOj76xg4bNkyN+e5z1hdfofUu4jjn7lFCN/b62emCxtyhKJg3FBVzh6Jg3lBUzB2KgnlDUTF3qEu/39iYiIiIiIiIiIh6j4s4REREREREREQJwEUcIiIiIiIiIqIE4CIOEREREREREVECcBGHiIiIiIiIiCgBvN2p+lJeXp7annXs2LHmWKvVndVycsOGDea8VstXq8Xaq6++as5rbZOvrZjV1tNqvelrJai1dvO1g8y1jo4ONDY2po11dnaaY61Wth/72MfUmNUeF7DbIL7wwgtq7JlnnjHntdoXW/sAAIwaNUqNWXmzfPlyc97+agedDXl5eer+5mt1aL3eVr0qLCw0592/f78aO3funBrztVC06kZvWtRa+9jevXvNebV89o3LNeec2nLW14rWatlq1RWrZSdgvw9WLo8bNy7yvL4WmVauW6/Tvn37zHl9LbPjzDmHjo6OtDGrHSlgt0+2WoEPHz7cnNd6L6z2qb4aabVm9b2HVsv0jRs3qrGDBw+a82rnQf3V7revdHZ2qq2Mi4uLzbHWOaW1j1511VXmvFbOWecqWv538f0+Fmtu63WwjnFA/M+DLdZ5Tl1dnTnW2tdWrVqlxp588klzXuscqaCgQI09//zz5ry+46TFOkcaPXq0GrNaWwN6Pm/atKlnG5ZD2v5kXRsDUK/JAKC1tVWN7dy505zXqitHjhxRY76aY53L+Pb9vDz98y5WXRk0aJA577x588x4T/CTOERERERERERECcBFHCIiIiIiIiKiBOAiDhERERERERFRAnARh4iIiIiIiIgoAbiIQ0RERERERESUAFzEISIiIiIiIiJKAC7iEBERERERERElQH42n8w5h7a2trSxuro6c2xRUZEamzhxohq7+uqrI8+rbSsA3Hjjjea8LS0taszXz76yslKNFRcXq7GSkhJz3k2bNkUal2v5+fmoqqpKGxMRc2x9fb0aa2hoUGP333+/Oa/1mhUWFqqxffv2mfOeOnVKjeXn27vrtGnTIm3TkSNHzHl3796txh588EFzbK4553Du3Lm0Me3xLu3t7Wps+PDhauyqq64y573sssvUmHNOjflqZGdnpxrz1RyrDjY2NqqxESNGmPPm5aX/dwLt8bgQEXWfsY4LADBu3Dg1dsstt6gxqx4BwNGjR9WYlavHjh0z5x05cqQa8x0brPfRqmVr164159XqfRKIiFqrrToM2PtwQUGBGjt58qQ5r3U+Ultbq8a2bt1qznv69Gk1ZtUyX9zKqyFDhpjzVlRUpH3cev3iQEQwaNCgtDFr/waAQ4cOqTFrrJVvAFBeXq7GrJxqbW0157Vqkm8fsc6DysrKIs9r5XLcOefU19w6VwGASy+9VI2dOXNGjfnOn7T9ELD3/Tlz5pjz3nDDDWpM23968rwW6xoTAJqamtI+7su5ONBeM99rNWbMGDVm1VorpwC75lg51Ru+XB46dKgas873rPNqABg1apS9YT0Q7zNpIiIiIiIiIiICwEUcIiIiIiIiIqJE4CIOEREREREREVECcBGHiIiIiIiIiCgBuIhDRERERERERJQAXMQhIiIiIiIiIkoAidpyLdKTiRwD0NVjeTiA41l78p4ZqNs0wTln9wrOofPyBhi471MmsrU9ScqduL1HwMDdpiTlDTBw36dMsOaANSci1pz415y4bQ/AmgOANSci1hzWnChiVXOyuojzpicWWeOcm5eTJ1dwm5Ihjq9J3LYpbtsTB3F8TbhNyRDH1yRu2xS37YmDOL4m3KZkiNtrErftAeK5TbkWx9eE25QMcXtN4rY9QPy2iV+nIiIiIiIiIiJKAC7iEBERERERERElQC4XcR7O4XNruE3JEMfXJG7bFLftiYM4vibcpmSI42sSt22K2/bEQRxfE25TMsTtNYnb9gDx3KZci+Nrwm1Khri9JnHbHiBm25Sze+LkioiMB7AFQLlzrkNEngfwY+fc93O7ZRR3zB2KgnlDUTF3KArmDUXF3KEomDcUFXMnugv261QisldEzojI6ZQ/Y5xz+51zQ5xzHWnGfEhEVvTxdiwSkc7ztuPe837mAyLyhog0i8guEbmuL7eBMpOU3Dnv8dMi0iEi/96X20A9l6C8mSgiT4lIvYgcEZHvikh+X24DZSZBuTNTRJ4TkQYR2Ski7+3L56fMxCVvwnlHiMhPReRUWFt+khIrEpEfikhjWHM+29fPT5lJUO68X0R+LyIt4cUd5VCC8uYbIrJDRJpEZKuI/FlfPz9lJkG5879E5EB4vNonIl/s6+fvKzlZxBGRW0VkW3gS+IV+fKo7wsTo+lNrbNNeAF8FMFdE1kR5MuNCqPa87fhRypibAXwNwIcBPAqgHMB/pcQrReR3YTH6nYgMi7JtF4Is5g3Q89x5QEQ2AfgXAJdGfbIoudP1GIDHALSED/8inI95k4I1pztvAPwngDoASwHkA/gYgD8P52PepGDN6c6d8Od/BeDXAJ4AUAXglyIyPYwzd1IMwJrzBIAjACYAGAngGymxLwOYhqDmFAD4mojcGs7HvEkxQGuOlTsnAXwLwFYA14jI6ynzMXdSsOa8KW+aAdyB4Jx4JIBHROSacD7mTQrWnLfkzg8AXATgcQClAP5JRP4onC9WuZP1RRwRGQTgPwC8E8AsAPeIyKwsPv9EEXFp3tgCACMADAZwkYicCn++SIIV3f0iclREHhKRwWFskYgcFJG/E5EjAB6JsElfAfAvzrlXACwGcAuAcynxLwBY5pybBmBZ+PcBJ9d5E26Dljv3ISgCJRKsLGcrd7osBvBdAB0AXgofY96Ecp07Maw5kxAs/P0AQb1pAjA7jDFvQrnOm3Ab4lRzLgIwBsA3w7E3IjhR/mAYZ+6Ecp072a45InILgHEAPueca3DOtTvnXkv5kT9DcCH3MICbAdQD+FAYY96Ecp034TZkteb4csc59/+cc48B+B2AjecNZ+6Ecp07cas5zrkvOee2Ijg/vgnBserqMMy8CeU6b8JtiFvN2eaca0aQO38SPjw1/G+scicXn8SZD2Cnc263c64NwM8B3JmD7ThfO4C/BfByuDpYET7+NQDTAcxF8CbWAPjnlHGjAFQiWM27T5l7ZJhoe0TkmyJSCvxh55kHYISI7ATwUwCfBiApY+8E0PWv6D8C8J7e/ZqJFde8AYAdAD6BLOZOKufciwBuBXDKuT/c5Ip50y2uuZP1mhP6NoAPAFiD4ASrDMDTYYx50y2ueQPkpub84bgU1pyT4WMXhw8zd7rFNXf6q+ZcBWAbgB+JyAkRWS0iCwFAgn+pHANgQ0retKJ74Zh50y2ueQP0X81RcyfN85877zHmTre45k7Wa06qsOY0I1hE2hw+zLzpFte8AXJYcyT4RNJTCM6N8xBcnwMxy51cLOLUADiQ8veD4WP9YYkE33c7JSJLPD/rEBSauSJyHwCIiAD4OIDPOOdOOueaAPwbggugLp0AvuScO+ucO5Nm3q0IEm00gBsAXAHg/4SxagQXUXcBuC78udkIVq27VDvnDgNA+N+RPfvVLzjZzBug57njADyL4OPi1V0PZiF3/kCCm4K9DcG/bnZh3nRjzXlz3ryAoM40AngFwBkAXdvKvOnGmvPm3NmK4Gt4nxORAgTHrJLwD8DcSTXQas5YBJ/qW47gBPp/A/iViAwHMCT8mYaUn+9AsHgMMG9SDcSaY+WOD3OnG2uOnjf/imDh+Jnw78ybbqw5aXLHOfcAgmPUbQBOofv4FavcycUijqR5rL9aZL3HOVcR/vGtlr0dQbJsBvAXIrIAwWJKCYC1XUmHYFUudZHlmHOuVZvUOXfEObfFOdfpnNsD4PMIFm2A4OIJAP7dOXfYOXccwPfRfXJD3bKZN0DPc+cB59zlCIrA6DBvgP7PnVR/BmA1gn/xoLdizQnzRkTyEJzIPIHgu76XARiE4F826M1Yc1JyxznXjuBfnW5D8F3yjyFYCDwY6be9sA2omoPgXGavc+4HLvho+s8RXBi8HcDp8GeGpvz8IARf46Q3G3A1B3buUM+x5qTJGxH5OoAZAA44N8DaMfcMa46SO2G+bEGwKPSVTH7JbMnFIs5BBN9F6zIWgHpTrGxxwc2VHIIL4ScRfMTsOII3e3ZK0pW74Gayfxia6VMh3Gmcc/UIXg9rjqMiMhoAwv/WZfh8F4pY5g26V2cbEXxMfH74937NnfP8GYBfnvcY86ZbLHMnFzUHwUdMxwH4rnPuLIJ/YagH8K4wzrzpFsu8QQ5rjnNuo3NuoXOuCsC9AAoBrArDzJ1uscydfqw5G7WfCc9zDuPNN6csRvdXG5g33WKZN+jfmqPmTg8wd7rFMndyUXO6iMhXENzr5YMILsS7MG+6xTJvEK+aIwCmhP8fq9zJxSLOagDTRGSSiBQi+AjU0hxsR6pCESkDcBRBMr8DwOvOuU4EnaK+KSIjAUBEakTkHT2dWIKbLI2XwDgADyDo8NHlEQCfEpGR4XfHP4I3/wvVUgQnywj/mzp2IIlj3uQBKAr//xSCj9VtBYAs5Q4kuNt+DYLvbqZi3nSLY+7kpOaEn/bbA+CTEtxEbiiAYQA2hMOZN93imDc5rTkiMkdEikWkBMFHmvMR3PwPYO6kimPu9FvNQXBxNkxE7hWRQSJyF4Lj0sow/t8A/jE8x5mCoOYsDmPMm25xzJt+rTnw5E74WDGCWiPBQ1IQjmXudItj7uSs5ojI3wP4HwhupH7qvLHMm25xzJuc1RwRyROR+0VkmIgIgn98qERwE2MgbrnjnMv6HwT/6rsdwC4AX+yn59gL4KY0j09EsAKXH/79eQR3l96AYHWuCUG75uNhvBjB9+12I1gRfAPAX4WxRQAOerbjswAOhXMeAPDvAMpS4gUIWv6eQrC62IxgxfoggI8iaOO6DMENnpYBqMzFexaHP9nImwxz55XwPd2A4CN32xCsGGcld8Kf+R6Ci/LDzJvc5k6Cas7ccBvaEPzrVCeCf3lh3uQgbzLMnZzWHABfR/DJrXYE9xhgzclh7sSl5oQ/dx2ATQi+PrUGwHUpsSIAPwzzpSP8w7zJUd5kmDv9WnN6kDsfCrcn9U8zcyc3uZOgmuMAnA1rTmf49wbmTW7yJsPcyVnNQbCA9HT4fO0IbqYe2+OVhBtNREREREREREQxlouvUxERERERERERUYa4iENERERERERElABcxCEiIiIiIiIiSgAu4hARERERERERJUB+bwaLyK0Avg1gEIDvO+cesH6+tLTUVVRURHqu9vZ2NZaXp69FlZSUmPN2dnaqsdOnT0caBwC9uWF0fr7+tli/q482tqGhAS0tLRJ54ggyyZ0hQ4a4ysrKtDHf+2DFrdfSeg8AoKOjQ40VFBSoseLiYnNeK29aWlrMsb3JDYv1Gu7fv/+4c25EvzxxGpnWHCt3fO/FuXPn1Njx48fVmC93rOe1ntOKAXaN9P2uQSfFzA0ePNiMa/tJfX09mpubY1tzrGOV77WyjjnWe+Q7Zhw7dkyNDRs2TI01Njaa81rb5Ht/rbyyfh/f72q9xkeOHIl1zbFyxzo2AMCZM2fUWHNzs7WN5rzW81r1yre9Vk1qa2szxxYWFkbapqjnVqdOnYr1ec7QoUPdiBHp09r3O1vH/qgxwH6PrPOR3tQc3+9q5YZVe33HT2sfqq2tjXXN6c15jnV+F/X8OdwmNWZdW7W2tprzar9nT0S9pvPV10GDBqV9vK6uDo2NjVmrOX15rPLtLxbrtbSunXxx63jky0crrr1/Xay6Yv2uvtfQ2qa9e/cDBrN1AAAgAElEQVT2qOZEXsQRkUEA/gPAzQhab60WkaXOuS3amIqKCtx///2Rnu/IkSNqrKysTI1dcskl5rxWwVixYoUas062APsExpcw1gm5lUy+JNaK+eLFi81xfS3T3KmsrMTf/u3fpp3Lt7Bx9uxZNWYd3Kqqqsx5m5qa1Fh1dbUamz59ujmvVRDWrl1rjo2aG76iau0jn/zkJ/eZg/tQlJpTWVmJv/mbv0kbmzlzpvl8J06cUGM/+MEP1Ji1/wLAxRdfrMaOHj0aaXsAoLa2Vo3NmjXLHBt1QdP3GmonTd/5znfMcX0t09ypqKjAX/zFX6Sdy7dIN3fuXDVmvUe+/fDhhx9WY3fddZca++1vf2vOe/jwYTV26aWXmmOt99+6UOvNBf6//uu/xrrmVFRU4BOf+ETaWE1Njfl8GzduVGOvvvqqGvPl5JgxY9SYdawbNWqUOW99fb0aO3DggDnWei2sbbLyymLV7P6Qae6MGDECDzyQ/prLdzFgnctYF9O+C/xx48apsQ0bNqixp59+2pzXOs75/mHOuoi/7LLL1FhdXZ05b1FRkRr7p3/6p1jXnMrKSnz+859PG5sxY4b5fFEXjn25c+2116qxlStXqrEdO3aY895zzz1qzLcAaD2vtcBj5Qag72Of+9znzHF9qa+PVb7zTWs/7c0Cr/U+WMejqO8RAAwdOtQca9UVax85deqUOa+1zR/+8Id7VHN680/38wHsdM7tds61Afg5gDt7MR8NHMwdioJ5Q1ExdygK5g1FxdyhKJg3FAXzZgDqzSJODYDUf2o5GD5G5MPcoSiYNxQVc4eiYN5QVMwdioJ5Q1Ewbwag3izipPue31s+yyYi94nIGhFZY33siAYUb+6k5o318ToaUDKuOcwdCmVUc3isohDPcyiqjGqO72sGNGDwPIei4LFqAOrNIs5BAKlfmB0L4C1f+HfOPeycm+ecm1daWtqLp6MLiDd3UvPG+i4jDSgZ1xzmDoUyqjk8VlGI5zkUVUY1x3dfBhoweJ5DUfBYNQD1ZhFnNYBpIjJJRAoBfADA0r7ZLLrAMXcoCuYNRcXcoSiYNxQVc4eiYN5QFMybAShydyrn3DkR+UsAzyBoZ/ZD59xma0xeXh60lT9ftyer48e8efPUmO/jYo888ogaKy8vV2Pz588357Xuvu/72OyUKVPUmNVtyXc3ca3jR9T2wlFlmjudnZ3q3c59nQysTmDW7+1rrTphwgQ19va3v12NWZ2rADs3fO+v1fba6gbju6u777XIlig1p7OzU/3dfa/nv/3bv6kxax+1OgUB9uv92GOP/f/t3VlsVte5//Fn2ZjJNtgYMGYwUxiVoQRnaBIlpCVDSSipqlOdUzVNqqNGqfS/rKpeNTdVde6qXlRRqqpxVTWnPeqUKAltEpqGhDSQkoQpgZSAmQwYMBiMGTzs/8Uxf1P+fn7L77bxu7f9/dwA/mUtb+/32Wvvd8X242Z33nmnnFf93zjVTc0s3uXNE+vi5nW9inXoG2qF1k5paal7PlU3RDPdCUjdF6ZOnSrn/clPfuJm77//vpt5LUSvUF3tmpqa5Fj13QOqi4w6D2bxuhouadcc7z6tOvqYme3Zs8fN1I9MrF27Vs6r7N69281i64aq9Vi3TNW5Q61H6rnMzO/kFOv+NtTS1k5/Yseu1n71f9tjzyPq+Up1AlLPQGb63quuATPd9aytrc3NYvU4mJbKQylN3SRJ4h6/ei40M9u7d6+bHTjgN8iJPXtv2LDBzdQ6qLoCm5m9+eabbqbWIzN9ncyePdvNYs8r3tqctpNeGmnqJoTgPt/Huo8dOXLEzaZN8ztjx86luueoWv7a174m51X3m/r6ejlWPcuo9TW2/xDrpjYQqTdxeg/gVTN7ddBHgVGH2kEa1A3SonaQBnWDtKgdpEHdIA3qZvQZzI9TAQAAAAAAYJiwiQMAAAAAAJADbOIAAAAAAADkAJs4AAAAAAAAOcAmDgAAAAAAQA6wiQMAAAAAAJADg2oxXqgQgo0Z0/+nrKqqkmPnzZvnZp9++qmbvfjii3LeHTt2uNkjjzziZhUVFXLe7du3u9nFixfl2MrKSjebNGmSm506dUrO29PTI/OsSpLELl++3G/W2dkpx6pzOW7cODfbu3evnPezzz5zs5dfftnN7rrrLjnvtGnT3Oz8+fNybAjBzTo6OtwsSRI5b17rJmbDhg0yb29vd7NFixa5Wex8Pf/8826mXotvfOMbct5nn33WzX70ox/JsWvWrHGz1atXu1ns+stz7ZSU9P//ONR9wczsN7/5jZup67C0tFTO++6777rZ73//ezfzvo4rzp4962Z33323HFteXu5mqpYnTpwo562urpZ5loUQ3HOu7jlmZnPmzHGzmTNnulnsfI4dO9bNamtr3aympkbOW19f72Z//etf5dhZs2a52ZQpU9wsdp141P0xC0pKStzXcfbs2XLswYMH3Wzz5s1uNn78eDlvS0uLm91+++1upp7Xzcxuu+02N/Oe9a5Qx6yey2P3qu7ubplnmXpvpdZ3M702qPcU6l5mZjZ//nw327Nnj5vV1dXJedW6cebMGTlWPY+o+oitr2nXpCzw1sXY13zrrbe6mbqGY89P+/btczP13krVlJlek2Lr4Llz59xM1U1bW5ucN/Y8MBB8Jw4AAAAAAEAOsIkDAAAAAACQA2ziAAAAAAAA5ACbOAAAAAAAADnAJg4AAAAAAEAOsIkDAAAAAACQA8PeYrysrKzfTLWCNjM7duyYm+3atcvNVCtgM7N7773XzWbMmOFmqqWrmdmvf/1rN7vxxhvl2IaGBjeLtTYfiZIkcdvVxlrRqva67733npu9//77cl7Vkk7V1CuvvCLnnTp1qpupdr5muh2sOt4JEybIefOsp6fHbYXZ3Nwsx6rXcenSpW4Wa3O5bds2N1Mt6GOt4FW7wkuXLsmxql3oiRMn3GzSpEly3rwqLS11v7bjx4/LseqcqLb2sTalar1SxxRrn1lVVeVmqs7NzCZPnuxmR48elWNHMq9tq1rfzfRarNaNwVDtYO+77z459tFHH3WzLVu2yLGqJayqq5FKPefs3LlTjv3tb3/rZoNZGz7/+c+72WeffeZmsecn1bJXtaY2062PVbvsWIvxPAshuM+66n2MmT4vauzKlSvlvKq1vXqWXbx4sZy3vr7ezWJrjrqfXbhwwc1G8nrk3aumTJkix6l7lXqPG2sF/uMf/9jNHnjgATeLrRuqJXrsWUU9W58+fVqOvd74ThwAAAAAAIAcYBMHAAAAAAAgB9jEAQAAAAAAyAE2cQAAAAAAAHKATRwAAAAAAIAcYBMHAAAAAAAgB4a1xXiSJNbT09Nv5rU5u0K1X1VtxGNtx1asWOFmql2dap9nplvoTZs2TY7t6upys7a2Njl2JAohuK9/rD22ah2nWus+/PDDct7Vq1e7WXd3t5udPHlSznvo0CE3a21tlWNVPnPmTDl2NFq4cKHMb775ZjdTbTCfeeYZOe+qVavc7Nlnn3Wzjz76SM6r6vn++++XYz/3uc+5mVqPRqquri73enrrrbfk2HfeecfNvvSlL7nZ008/LefduHGjm6nWqffcc4+ct7m52c1U21UzXVfr16+XY0ejs2fPyvzUqVNutn//fjeL1aRqFX7mzBk3i7WZraiocLMFCxbIsTt27HAz1UZ6pOrp6bGOjo5+s+3bt8uxao1uaGhws+XLl8t5a2pq3Mw7VrN4G2FVNy0tLXKser4qKyuTY0cq9d5KvU5m+nyq91ax55HDhw+7mVpXZs2aJeedO3eumz355JNyrFpDvRbtI1kIwb1mYq3p1b3sueeec7Pnn39ezvvYY4/J3PPoo4/KfOvWrW42depUOVbdl9vb2/WBXWejr2oBAAAAAAByiE0cAAAAAACAHGATBwAAAAAAIAfYxAEAAAAAAMgBNnEAAAAAAABygE0cAAAAAACAHGATBwAAAAAAIAfGDGZwCKHJzM6ZWbeZdSVJ0pB2rnPnzsn80qVLbqZ6vC9atEjOe+DAATfbtm2bm40Zo0/dnDlz3Gzp0qVybEdHh5uVlIyMfbdCa8f7useNGyc/z9ixY92spqbGzR566CE57+233+5mv/rVr9ysqalJznv+/Hk3mzhxohzb2dkp85EgTd14NbBixQr5uZYtW+ZmzzzzjJudOHFCzrtu3To3O3nypJv9+c9/lvOqNbK7u1uOLSsrc7ORUleF1E4IwUII/Wax61DV1apVq9zshz/8oZxXvYZf//rX3UzVlJnZ5cuX3Wz+/Pmpx1ZUVLhZ7H6fJWmec7za6enpkePUvb+2ttbNqqqq5LzqueHhhx92s9LSUjnv4cOH3ez06dNy7PTp090sdl/Pi0LXHO9833LLLfLz3HHHHW52//33u9kHH3wg5928ebOb3XbbbW5WX18v5z1z5oybqXuRmb4OYmPzYijfW02bNk3mZ8+edTNVH7E1XD3rPvjgg26m6tVM33NUZqbXycrKSjk2LwqtHe+eFHuvcuzYMTf78MMP3WzlypVy3urqajf71re+lep4zPT9SL1PNIvXVTENahOn1/1JkuinRKB/1A7SoG6QFrWDNKgbpEXtIA3qBmlRO6PEyPi2DgAAAAAAgBFusJs4iZm9FkLYGkJ4aigOCKMGtYM0qBukRe0gDeoGaVE7SIO6QVrUzigy2B+nujtJkuYQwnQzez2EsDtJko1X/we9RfSUmf5ZN4w6snaurpvJkycX6xiRPQWtObHfFYFRZcBrDvcqXKWgNYf7Fa4y4DVH/W5HjDq8t0JaPOeMIoP6TpwkSZp7/2wxsz+a2f/3216TJPlZkiQNSZI0qF90iNElVjtX1015eXkxDhEZVOiaQ+3gikLWHO5VuKLQNSf2i68xehSy5kyaNKkYh4gM4r0V0uK91eiSehMnhFAeQqi88ncze9DMdg7VgWHkonaQBnWDtKgdpEHdIC1qB2lQN0iL2hl9BvPjVLVm9sfeVppjzOyFJElkD9wkSdx2tbH2YMrq1avdLNbqcOPGjW62fv16N4u1LletOVWLRDOz9vZ2N1MtFC9evCjn9dqix9qeXgcF1453jKrFqZnZxx9/7GYLFixwswkTJsh59+zZ42YtLS1uFmvXPGPGDDeLtQpWbfK8lrexcWa6dfUwK7huzPy6X7hwoRz36quvutmGDRvcTLWfNzObMmWKmz333HNuFmtdrtaV++67T45VNaBe/yy3XrxGQbXT09Pjrqf79u2Tn+jb3/62m33yySduFqvHAwcOuNn+/fvdLFY3ra2tbhZrT6s+r/q/fLF7Tqy19TBKteZ45s6dK3P1XTzHjx93s1h7XNXSed68eW4WayO8ZcsWN4u1e166dKmbqRbjqiWymf8c1N3dLcddBwXVTgjBX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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">sess</span><span class="o">.</span><span class="n">close</span><span class="p">()</span> <span class="c1">#finish the session</span>
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<span class="nx">Jupyter</span><span class="p">.</span><span class="nx">notebook</span><span class="p">.</span><span class="nx">session</span><span class="p">.</span><span class="k">delete</span><span class="p">()</span>
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var element = $('#cfe8e785-63c0-4917-8f13-86474e10f42a');
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<h2>Do you want to use GPU in production?</h2><p>Running deep learning programs usually needs a high performance platform. PowerAI speeds up deep learning and AI. Built on IBM's Power Systems, PowerAI is a scalable software platform that accelerates deep learning and AI with blazing performance for individual users or enterprises. The <a href="https://cocl.us/ML0122EN_IBMCLOUD_PowerAI">PowerAI platform on IBM Cloud</a> supports popular machine learning libraries and dependencies including TensorFlow, Caffe, PyTorch, and Theano.</p><h3>Thanks for completing this lesson!</h3><p><h4>Author: <a href="https://ca.linkedin.com/in/saeedaghabozorgi">Saeed Aghabozorgi</a></h4></p>
<p><p><a href="https://ca.linkedin.com/in/saeedaghabozorgi">Saeed Aghabozorgi</a>, PhD is a Data Scientist in IBM with a track record of developing enterprise level applications that substantially increases clients’ ability to turn data into actionable knowledge. He is a researcher in data mining field and expert in developing advanced analytic methods like machine learning and statistical modelling on large datasets.</p>
&lt;/article&gt;</p>

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<p>Copyright &copy; 2018 <a href="https://cocl.us/DX0108EN_CC">Cognitive Class</a>. This notebook and its source code are released under the terms of the <a href="https://bigdatauniversity.com/mit-license/">MIT License</a>.</p>
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