ND_results_by_SStype.html

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<title>ND results by SStype</title>

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  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 4.7.0 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=4.7.0');
  src: url('../components/font-awesome/fonts/fontawesome-webfont.eot?#iefix&v=4.7.0') format('embedded-opentype'), url('../components/font-awesome/fonts/fontawesome-webfont.woff2?v=4.7.0') format('woff2'), url('../components/font-awesome/fonts/fontawesome-webfont.woff?v=4.7.0') format('woff'), url('../components/font-awesome/fonts/fontawesome-webfont.ttf?v=4.7.0') format('truetype'), url('../components/font-awesome/fonts/fontawesome-webfont.svg?v=4.7.0#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;
}
.fa-pull-left {
  float: left;
}
.fa-pull-right {
  float: right;
}
.fa.fa-pull-left {
  margin-right: .3em;
}
.fa.fa-pull-right {
  margin-left: .3em;
}
/* Deprecated as of 4.4.0 */
.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;
}
.fa-pulse {
  -webkit-animation: fa-spin 1s infinite steps(8);
  animation: fa-spin 1s infinite steps(8);
}
@-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 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=1)";
  -webkit-transform: rotate(90deg);
  -ms-transform: rotate(90deg);
  transform: rotate(90deg);
}
.fa-rotate-180 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=2)";
  -webkit-transform: rotate(180deg);
  -ms-transform: rotate(180deg);
  transform: rotate(180deg);
}
.fa-rotate-270 {
  -ms-filter: "progid:DXImageTransform.Microsoft.BasicImage(rotation=3)";
  -webkit-transform: rotate(270deg);
  -ms-transform: rotate(270deg);
  transform: rotate(270deg);
}
.fa-flip-horizontal {
  -ms-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 {
  -ms-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-f:before,
.fa-facebook:before {
  content: "\f09a";
}
.fa-github:before {
  content: "\f09b";
}
.fa-unlock:before {
  content: "\f09c";
}
.fa-credit-card:before {
  content: "\f09d";
}
.fa-feed:before,
.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,
.fa-gratipay: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-pp: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-resistance: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-y-combinator-square:before,
.fa-yc-square:before,
.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";
}
.fa-buysellads:before {
  content: "\f20d";
}
.fa-connectdevelop:before {
  content: "\f20e";
}
.fa-dashcube:before {
  content: "\f210";
}
.fa-forumbee:before {
  content: "\f211";
}
.fa-leanpub:before {
  content: "\f212";
}
.fa-sellsy:before {
  content: "\f213";
}
.fa-shirtsinbulk:before {
  content: "\f214";
}
.fa-simplybuilt:before {
  content: "\f215";
}
.fa-skyatlas:before {
  content: "\f216";
}
.fa-cart-plus:before {
  content: "\f217";
}
.fa-cart-arrow-down:before {
  content: "\f218";
}
.fa-diamond:before {
  content: "\f219";
}
.fa-ship:before {
  content: "\f21a";
}
.fa-user-secret:before {
  content: "\f21b";
}
.fa-motorcycle:before {
  content: "\f21c";
}
.fa-street-view:before {
  content: "\f21d";
}
.fa-heartbeat:before {
  content: "\f21e";
}
.fa-venus:before {
  content: "\f221";
}
.fa-mars:before {
  content: "\f222";
}
.fa-mercury:before {
  content: "\f223";
}
.fa-intersex:before,
.fa-transgender:before {
  content: "\f224";
}
.fa-transgender-alt:before {
  content: "\f225";
}
.fa-venus-double:before {
  content: "\f226";
}
.fa-mars-double:before {
  content: "\f227";
}
.fa-venus-mars:before {
  content: "\f228";
}
.fa-mars-stroke:before {
  content: "\f229";
}
.fa-mars-stroke-v:before {
  content: "\f22a";
}
.fa-mars-stroke-h:before {
  content: "\f22b";
}
.fa-neuter:before {
  content: "\f22c";
}
.fa-genderless:before {
  content: "\f22d";
}
.fa-facebook-official:before {
  content: "\f230";
}
.fa-pinterest-p:before {
  content: "\f231";
}
.fa-whatsapp:before {
  content: "\f232";
}
.fa-server:before {
  content: "\f233";
}
.fa-user-plus:before {
  content: "\f234";
}
.fa-user-times:before {
  content: "\f235";
}
.fa-hotel:before,
.fa-bed:before {
  content: "\f236";
}
.fa-viacoin:before {
  content: "\f237";
}
.fa-train:before {
  content: "\f238";
}
.fa-subway:before {
  content: "\f239";
}
.fa-medium:before {
  content: "\f23a";
}
.fa-yc:before,
.fa-y-combinator:before {
  content: "\f23b";
}
.fa-optin-monster:before {
  content: "\f23c";
}
.fa-opencart:before {
  content: "\f23d";
}
.fa-expeditedssl:before {
  content: "\f23e";
}
.fa-battery-4:before,
.fa-battery:before,
.fa-battery-full:before {
  content: "\f240";
}
.fa-battery-3:before,
.fa-battery-three-quarters:before {
  content: "\f241";
}
.fa-battery-2:before,
.fa-battery-half:before {
  content: "\f242";
}
.fa-battery-1:before,
.fa-battery-quarter:before {
  content: "\f243";
}
.fa-battery-0:before,
.fa-battery-empty:before {
  content: "\f244";
}
.fa-mouse-pointer:before {
  content: "\f245";
}
.fa-i-cursor:before {
  content: "\f246";
}
.fa-object-group:before {
  content: "\f247";
}
.fa-object-ungroup:before {
  content: "\f248";
}
.fa-sticky-note:before {
  content: "\f249";
}
.fa-sticky-note-o:before {
  content: "\f24a";
}
.fa-cc-jcb:before {
  content: "\f24b";
}
.fa-cc-diners-club:before {
  content: "\f24c";
}
.fa-clone:before {
  content: "\f24d";
}
.fa-balance-scale:before {
  content: "\f24e";
}
.fa-hourglass-o:before {
  content: "\f250";
}
.fa-hourglass-1:before,
.fa-hourglass-start:before {
  content: "\f251";
}
.fa-hourglass-2:before,
.fa-hourglass-half:before {
  content: "\f252";
}
.fa-hourglass-3:before,
.fa-hourglass-end:before {
  content: "\f253";
}
.fa-hourglass:before {
  content: "\f254";
}
.fa-hand-grab-o:before,
.fa-hand-rock-o:before {
  content: "\f255";
}
.fa-hand-stop-o:before,
.fa-hand-paper-o:before {
  content: "\f256";
}
.fa-hand-scissors-o:before {
  content: "\f257";
}
.fa-hand-lizard-o:before {
  content: "\f258";
}
.fa-hand-spock-o:before {
  content: "\f259";
}
.fa-hand-pointer-o:before {
  content: "\f25a";
}
.fa-hand-peace-o:before {
  content: "\f25b";
}
.fa-trademark:before {
  content: "\f25c";
}
.fa-registered:before {
  content: "\f25d";
}
.fa-creative-commons:before {
  content: "\f25e";
}
.fa-gg:before {
  content: "\f260";
}
.fa-gg-circle:before {
  content: "\f261";
}
.fa-tripadvisor:before {
  content: "\f262";
}
.fa-odnoklassniki:before {
  content: "\f263";
}
.fa-odnoklassniki-square:before {
  content: "\f264";
}
.fa-get-pocket:before {
  content: "\f265";
}
.fa-wikipedia-w:before {
  content: "\f266";
}
.fa-safari:before {
  content: "\f267";
}
.fa-chrome:before {
  content: "\f268";
}
.fa-firefox:before {
  content: "\f269";
}
.fa-opera:before {
  content: "\f26a";
}
.fa-internet-explorer:before {
  content: "\f26b";
}
.fa-tv:before,
.fa-television:before {
  content: "\f26c";
}
.fa-contao:before {
  content: "\f26d";
}
.fa-500px:before {
  content: "\f26e";
}
.fa-amazon:before {
  content: "\f270";
}
.fa-calendar-plus-o:before {
  content: "\f271";
}
.fa-calendar-minus-o:before {
  content: "\f272";
}
.fa-calendar-times-o:before {
  content: "\f273";
}
.fa-calendar-check-o:before {
  content: "\f274";
}
.fa-industry:before {
  content: "\f275";
}
.fa-map-pin:before {
  content: "\f276";
}
.fa-map-signs:before {
  content: "\f277";
}
.fa-map-o:before {
  content: "\f278";
}
.fa-map:before {
  content: "\f279";
}
.fa-commenting:before {
  content: "\f27a";
}
.fa-commenting-o:before {
  content: "\f27b";
}
.fa-houzz:before {
  content: "\f27c";
}
.fa-vimeo:before {
  content: "\f27d";
}
.fa-black-tie:before {
  content: "\f27e";
}
.fa-fonticons:before {
  content: "\f280";
}
.fa-reddit-alien:before {
  content: "\f281";
}
.fa-edge:before {
  content: "\f282";
}
.fa-credit-card-alt:before {
  content: "\f283";
}
.fa-codiepie:before {
  content: "\f284";
}
.fa-modx:before {
  content: "\f285";
}
.fa-fort-awesome:before {
  content: "\f286";
}
.fa-usb:before {
  content: "\f287";
}
.fa-product-hunt:before {
  content: "\f288";
}
.fa-mixcloud:before {
  content: "\f289";
}
.fa-scribd:before {
  content: "\f28a";
}
.fa-pause-circle:before {
  content: "\f28b";
}
.fa-pause-circle-o:before {
  content: "\f28c";
}
.fa-stop-circle:before {
  content: "\f28d";
}
.fa-stop-circle-o:before {
  content: "\f28e";
}
.fa-shopping-bag:before {
  content: "\f290";
}
.fa-shopping-basket:before {
  content: "\f291";
}
.fa-hashtag:before {
  content: "\f292";
}
.fa-bluetooth:before {
  content: "\f293";
}
.fa-bluetooth-b:before {
  content: "\f294";
}
.fa-percent:before {
  content: "\f295";
}
.fa-gitlab:before {
  content: "\f296";
}
.fa-wpbeginner:before {
  content: "\f297";
}
.fa-wpforms:before {
  content: "\f298";
}
.fa-envira:before {
  content: "\f299";
}
.fa-universal-access:before {
  content: "\f29a";
}
.fa-wheelchair-alt:before {
  content: "\f29b";
}
.fa-question-circle-o:before {
  content: "\f29c";
}
.fa-blind:before {
  content: "\f29d";
}
.fa-audio-description:before {
  content: "\f29e";
}
.fa-volume-control-phone:before {
  content: "\f2a0";
}
.fa-braille:before {
  content: "\f2a1";
}
.fa-assistive-listening-systems:before {
  content: "\f2a2";
}
.fa-asl-interpreting:before,
.fa-american-sign-language-interpreting:before {
  content: "\f2a3";
}
.fa-deafness:before,
.fa-hard-of-hearing:before,
.fa-deaf:before {
  content: "\f2a4";
}
.fa-glide:before {
  content: "\f2a5";
}
.fa-glide-g:before {
  content: "\f2a6";
}
.fa-signing:before,
.fa-sign-language:before {
  content: "\f2a7";
}
.fa-low-vision:before {
  content: "\f2a8";
}
.fa-viadeo:before {
  content: "\f2a9";
}
.fa-viadeo-square:before {
  content: "\f2aa";
}
.fa-snapchat:before {
  content: "\f2ab";
}
.fa-snapchat-ghost:before {
  content: "\f2ac";
}
.fa-snapchat-square:before {
  content: "\f2ad";
}
.fa-pied-piper:before {
  content: "\f2ae";
}
.fa-first-order:before {
  content: "\f2b0";
}
.fa-yoast:before {
  content: "\f2b1";
}
.fa-themeisle:before {
  content: "\f2b2";
}
.fa-google-plus-circle:before,
.fa-google-plus-official:before {
  content: "\f2b3";
}
.fa-fa:before,
.fa-font-awesome:before {
  content: "\f2b4";
}
.fa-handshake-o:before {
  content: "\f2b5";
}
.fa-envelope-open:before {
  content: "\f2b6";
}
.fa-envelope-open-o:before {
  content: "\f2b7";
}
.fa-linode:before {
  content: "\f2b8";
}
.fa-address-book:before {
  content: "\f2b9";
}
.fa-address-book-o:before {
  content: "\f2ba";
}
.fa-vcard:before,
.fa-address-card:before {
  content: "\f2bb";
}
.fa-vcard-o:before,
.fa-address-card-o:before {
  content: "\f2bc";
}
.fa-user-circle:before {
  content: "\f2bd";
}
.fa-user-circle-o:before {
  content: "\f2be";
}
.fa-user-o:before {
  content: "\f2c0";
}
.fa-id-badge:before {
  content: "\f2c1";
}
.fa-drivers-license:before,
.fa-id-card:before {
  content: "\f2c2";
}
.fa-drivers-license-o:before,
.fa-id-card-o:before {
  content: "\f2c3";
}
.fa-quora:before {
  content: "\f2c4";
}
.fa-free-code-camp:before {
  content: "\f2c5";
}
.fa-telegram:before {
  content: "\f2c6";
}
.fa-thermometer-4:before,
.fa-thermometer:before,
.fa-thermometer-full:before {
  content: "\f2c7";
}
.fa-thermometer-3:before,
.fa-thermometer-three-quarters:before {
  content: "\f2c8";
}
.fa-thermometer-2:before,
.fa-thermometer-half:before {
  content: "\f2c9";
}
.fa-thermometer-1:before,
.fa-thermometer-quarter:before {
  content: "\f2ca";
}
.fa-thermometer-0:before,
.fa-thermometer-empty:before {
  content: "\f2cb";
}
.fa-shower:before {
  content: "\f2cc";
}
.fa-bathtub:before,
.fa-s15:before,
.fa-bath:before {
  content: "\f2cd";
}
.fa-podcast:before {
  content: "\f2ce";
}
.fa-window-maximize:before {
  content: "\f2d0";
}
.fa-window-minimize:before {
  content: "\f2d1";
}
.fa-window-restore:before {
  content: "\f2d2";
}
.fa-times-rectangle:before,
.fa-window-close:before {
  content: "\f2d3";
}
.fa-times-rectangle-o:before,
.fa-window-close-o:before {
  content: "\f2d4";
}
.fa-bandcamp:before {
  content: "\f2d5";
}
.fa-grav:before {
  content: "\f2d6";
}
.fa-etsy:before {
  content: "\f2d7";
}
.fa-imdb:before {
  content: "\f2d8";
}
.fa-ravelry:before {
  content: "\f2d9";
}
.fa-eercast:before {
  content: "\f2da";
}
.fa-microchip:before {
  content: "\f2db";
}
.fa-snowflake-o:before {
  content: "\f2dc";
}
.fa-superpowers:before {
  content: "\f2dd";
}
.fa-wpexplorer:before {
  content: "\f2de";
}
.fa-meetup:before {
  content: "\f2e0";
}
.sr-only {
  position: absolute;
  width: 1px;
  height: 1px;
  padding: 0;
  margin: -1px;
  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;
}
.sr-only-focusable:active,
.sr-only-focusable:focus {
  position: static;
  width: auto;
  height: auto;
  margin: 0;
  overflow: visible;
  clip: auto;
}
/*!
*
* 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;
}
div.traceback-wrapper pre.traceback {
  max-height: 600px;
  overflow: 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 {
  display: flex;
  flex-direction: row;
  justify-content: space-between;
  padding: 5px;
  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;
}
[dir="rtl"] #ipython_notebook {
  margin-right: 10px;
  margin-left: 0;
}
[dir="rtl"] #ipython_notebook.pull-left {
  float: right !important;
  float: right;
}
.flex-spacer {
  flex: 1;
}
#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#kernel_logo_widget {
  margin: 0 10px;
}
span#login_widget {
  float: right;
}
[dir="rtl"] span#login_widget {
  float: left;
}
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;
}
.modal-header {
  cursor: move;
}
@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;
}
[dir="rtl"] .center-nav form.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] .center-nav .navbar-text {
  float: right;
}
[dir="rtl"] .navbar-inner {
  text-align: right;
}
[dir="rtl"] div.text-left {
  text-align: right;
}
/*!
*
* 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 {
  position: absolute;
  display: block;
  width: 100%;
  height: 100%;
  overflow: hidden;
  cursor: pointer;
  opacity: 0;
  z-index: 2;
}
.alternate_upload .btn-xs > input.fileinput {
  margin: -1px -5px;
}
.alternate_upload .btn-upload {
  position: relative;
  height: 22px;
}
::-webkit-file-upload-button {
  cursor: pointer;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
ul#tabs {
  margin-bottom: 4px;
}
ul#tabs a {
  padding-top: 6px;
  padding-bottom: 4px;
}
[dir="rtl"] ul#tabs.nav-tabs > li {
  float: right;
}
[dir="rtl"] ul#tabs.nav.nav-tabs {
  padding-right: 0;
}
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 .pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .list_toolbar .col-sm-4,
[dir="rtl"] .list_toolbar .col-sm-8 {
  float: right;
}
.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: text-bottom;
  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;
}
[dir="rtl"] .list_item > div input {
  margin-right: 0;
}
.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_modified {
  margin-right: 7px;
  margin-left: 7px;
}
[dir="rtl"] .item_modified.pull-right {
  float: left !important;
  float: left;
}
.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;
}
[dir="rtl"] .item_buttons.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .item_buttons .kernel-name {
  margin-left: 7px;
  float: right;
}
.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;
}
.sort_button {
  display: inline-block;
  padding-left: 7px;
}
[dir="rtl"] .sort_button.pull-right {
  float: left !important;
  float: left;
}
#tree-selector {
  padding-right: 0px;
}
#button-select-all {
  min-width: 50px;
}
[dir="rtl"] #button-select-all.btn {
  float: right ;
}
#select-all {
  margin-left: 7px;
  margin-right: 2px;
  margin-top: 2px;
  height: 16px;
}
[dir="rtl"] #select-all.pull-left {
  float: right !important;
  float: right;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.folder_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.running_notebook_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.file_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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;
}
#new-menu .dropdown-header {
  font-size: 10px;
  border-bottom: 1px solid #e5e5e5;
  padding: 0 0 3px;
  margin: -3px 20px 0;
}
.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;
}
.delete-button {
  display: none;
}
.duplicate-button {
  display: none;
}
.rename-button {
  display: none;
}
.move-button {
  display: none;
}
.download-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.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-dirty.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.dirty-indicator-clean:before.fa-pull-right {
  margin-left: .3em;
}
.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);
  }
}
.CodeMirror-dialog {
  background-color: #fff;
}
/*!
*
* IPython notebook
*
*/
/* CSS font colors for translated ANSI escape sequences */
/* The color values are a mix of
   http://www.xcolors.net/dl/baskerville-ivorylight and
   http://www.xcolors.net/dl/euphrasia */
.ansi-black-fg {
  color: #3E424D;
}
.ansi-black-bg {
  background-color: #3E424D;
}
.ansi-black-intense-fg {
  color: #282C36;
}
.ansi-black-intense-bg {
  background-color: #282C36;
}
.ansi-red-fg {
  color: #E75C58;
}
.ansi-red-bg {
  background-color: #E75C58;
}
.ansi-red-intense-fg {
  color: #B22B31;
}
.ansi-red-intense-bg {
  background-color: #B22B31;
}
.ansi-green-fg {
  color: #00A250;
}
.ansi-green-bg {
  background-color: #00A250;
}
.ansi-green-intense-fg {
  color: #007427;
}
.ansi-green-intense-bg {
  background-color: #007427;
}
.ansi-yellow-fg {
  color: #DDB62B;
}
.ansi-yellow-bg {
  background-color: #DDB62B;
}
.ansi-yellow-intense-fg {
  color: #B27D12;
}
.ansi-yellow-intense-bg {
  background-color: #B27D12;
}
.ansi-blue-fg {
  color: #208FFB;
}
.ansi-blue-bg {
  background-color: #208FFB;
}
.ansi-blue-intense-fg {
  color: #0065CA;
}
.ansi-blue-intense-bg {
  background-color: #0065CA;
}
.ansi-magenta-fg {
  color: #D160C4;
}
.ansi-magenta-bg {
  background-color: #D160C4;
}
.ansi-magenta-intense-fg {
  color: #A03196;
}
.ansi-magenta-intense-bg {
  background-color: #A03196;
}
.ansi-cyan-fg {
  color: #60C6C8;
}
.ansi-cyan-bg {
  background-color: #60C6C8;
}
.ansi-cyan-intense-fg {
  color: #258F8F;
}
.ansi-cyan-intense-bg {
  background-color: #258F8F;
}
.ansi-white-fg {
  color: #C5C1B4;
}
.ansi-white-bg {
  background-color: #C5C1B4;
}
.ansi-white-intense-fg {
  color: #A1A6B2;
}
.ansi-white-intense-bg {
  background-color: #A1A6B2;
}
.ansi-default-inverse-fg {
  color: #FFFFFF;
}
.ansi-default-inverse-bg {
  background-color: #000000;
}
.ansi-bold {
  font-weight: bold;
}
.ansi-underline {
  text-decoration: underline;
}
/* The following styles are deprecated an will be removed in a future version */
.ansibold {
  font-weight: bold;
}
.ansi-inverse {
  outline: 0.5px dotted;
}
/* 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;
  position: relative;
  overflow: visible;
}
div.cell:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: transparent;
}
div.cell.jupyter-soft-selected {
  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,
div.cell.selected.jupyter-soft-selected {
  border-color: #ababab;
}
div.cell.selected:before,
div.cell.selected.jupyter-soft-selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #42A5F5;
}
@media print {
  div.cell.selected,
  div.cell.selected.jupyter-soft-selected {
    border-color: transparent;
  }
}
.edit_mode div.cell.selected {
  border-color: #66BB6A;
}
.edit_mode div.cell.selected:before {
  position: absolute;
  display: block;
  top: -1px;
  left: -1px;
  width: 5px;
  height: calc(100% +  2px);
  content: '';
  background: #66BB6A;
}
@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. */
  /* Note that this should set vertical padding only, since CodeMirror assumes
       that horizontal padding will be set on CodeMirror pre */
  padding: 0.4em 0;
}
.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. This sets horizontal padding only,
    use .CodeMirror-lines for vertical */
  padding: 0 0.4em;
  border: 0;
  border-radius: 0;
}
.CodeMirror-cursor {
  border-left: 1.4px solid black;
}
@media screen and (min-width: 2138px) and (max-width: 4319px) {
  .CodeMirror-cursor {
    border-left: 2px solid black;
  }
}
@media screen and (min-width: 4320px) {
  .CodeMirror-cursor {
    border-left: 4px solid black;
  }
}
/*

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;
}
div.output_area .mglyph > img {
  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: 1px 0 1px 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:not(.list-inline),
.rendered_html ol:not(.list-inline) {
  padding-left: 2em;
}
.rendered_html ul {
  list-style: disc;
}
.rendered_html ul ul {
  list-style: square;
  margin-top: 0;
}
.rendered_html ul ul ul {
  list-style: circle;
}
.rendered_html ol {
  list-style: decimal;
}
.rendered_html ol ol {
  list-style: upper-alpha;
  margin-top: 0;
}
.rendered_html ol ol ol {
  list-style: lower-alpha;
}
.rendered_html ol ol ol ol {
  list-style: lower-roman;
}
.rendered_html ol ol ol ol ol {
  list-style: decimal;
}
.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;
  padding: 0px;
  background-color: #fff;
}
.rendered_html code {
  background-color: #eff0f1;
}
.rendered_html p code {
  padding: 1px 5px;
}
.rendered_html pre code {
  background-color: #fff;
}
.rendered_html pre,
.rendered_html code {
  border: 0;
  color: #000;
  font-size: 100%;
}
.rendered_html blockquote {
  margin: 1em 2em;
}
.rendered_html table {
  margin-left: auto;
  margin-right: auto;
  border: none;
  border-collapse: collapse;
  border-spacing: 0;
  color: black;
  font-size: 12px;
  table-layout: fixed;
}
.rendered_html thead {
  border-bottom: 1px solid black;
  vertical-align: bottom;
}
.rendered_html tr,
.rendered_html th,
.rendered_html td {
  text-align: right;
  vertical-align: middle;
  padding: 0.5em 0.5em;
  line-height: normal;
  white-space: normal;
  max-width: none;
  border: none;
}
.rendered_html th {
  font-weight: bold;
}
.rendered_html tbody tr:nth-child(odd) {
  background: #f5f5f5;
}
.rendered_html tbody tr:hover {
  background: rgba(66, 165, 245, 0.2);
}
.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;
}
.rendered_html .alert {
  margin-bottom: initial;
}
.rendered_html * + .alert {
  margin-top: 1em;
}
[dir="rtl"] .rendered_html p {
  text-align: right;
}
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.rendered .rendered_html tr,
.text_cell.rendered .rendered_html th,
.text_cell.rendered .rendered_html td {
  max-width: none;
}
.text_cell.unrendered .text_cell_render {
  display: none;
}
.text_cell .dropzone .input_area {
  border: 2px dashed #bababa;
  margin: -1px;
}
.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;
}
.jupyter-keybindings {
  padding: 1px;
  line-height: 24px;
  border-bottom: 1px solid gray;
}
.jupyter-keybindings input {
  margin: 0;
  padding: 0;
  border: none;
}
.jupyter-keybindings i {
  padding: 6px;
}
.well code {
  background-color: #ffffff;
  border-color: #ababab;
  border-width: 1px;
  border-style: solid;
  padding: 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;
}
.tags_button_container {
  width: 100%;
  display: flex;
}
.tag-container {
  display: flex;
  flex-direction: row;
  flex-grow: 1;
  overflow: hidden;
  position: relative;
}
.tag-container > * {
  margin: 0 4px;
}
.remove-tag-btn {
  margin-left: 4px;
}
.tags-input {
  display: flex;
}
.cell-tag:last-child:after {
  content: "";
  position: absolute;
  right: 0;
  width: 40px;
  height: 100%;
  /* Fade to background color of cell toolbar */
  background: linear-gradient(to right, rgba(0, 0, 0, 0), #EEE);
}
.tags-input > * {
  margin-left: 4px;
}
.cell-tag,
.tags-input input,
.tags-input button {
  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;
  box-shadow: none;
  width: inherit;
  font-size: inherit;
  height: 22px;
  line-height: 22px;
  padding: 0px 4px;
  display: inline-block;
}
.cell-tag:focus,
.tags-input input:focus,
.tags-input button: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);
}
.cell-tag::-moz-placeholder,
.tags-input input::-moz-placeholder,
.tags-input button::-moz-placeholder {
  color: #999;
  opacity: 1;
}
.cell-tag:-ms-input-placeholder,
.tags-input input:-ms-input-placeholder,
.tags-input button:-ms-input-placeholder {
  color: #999;
}
.cell-tag::-webkit-input-placeholder,
.tags-input input::-webkit-input-placeholder,
.tags-input button::-webkit-input-placeholder {
  color: #999;
}
.cell-tag::-ms-expand,
.tags-input input::-ms-expand,
.tags-input button::-ms-expand {
  border: 0;
  background-color: transparent;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
.cell-tag[readonly],
.tags-input input[readonly],
.tags-input button[readonly],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  background-color: #eeeeee;
  opacity: 1;
}
.cell-tag[disabled],
.tags-input input[disabled],
.tags-input button[disabled],
fieldset[disabled] .cell-tag,
fieldset[disabled] .tags-input input,
fieldset[disabled] .tags-input button {
  cursor: not-allowed;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button {
  height: auto;
}
select.cell-tag,
select.tags-input input,
select.tags-input button {
  height: 30px;
  line-height: 30px;
}
textarea.cell-tag,
textarea.tags-input input,
textarea.tags-input button,
select[multiple].cell-tag,
select[multiple].tags-input input,
select[multiple].tags-input button {
  height: auto;
}
.cell-tag,
.tags-input button {
  padding: 0px 4px;
}
.cell-tag {
  background-color: #fff;
  white-space: nowrap;
}
.tags-input input[type=text]:focus {
  outline: none;
  box-shadow: none;
  border-color: #ccc;
}
.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 .current_kernel_logo {
  display: none;
  margin-top: -1px;
  margin-bottom: -1px;
  width: 32px;
  height: 32px;
}
[dir="rtl"] #kernel_logo_widget {
  float: left !important;
  float: left;
}
.modal .modal-body .move-path {
  display: flex;
  flex-direction: row;
  justify-content: space;
  align-items: center;
}
.modal .modal-body .move-path .server-root {
  padding-right: 20px;
}
.modal .modal-body .move-path .path-input {
  flex: 1;
}
#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;
}
[dir="rtl"] #menubar .navbar-toggle {
  float: right;
}
[dir="rtl"] #menubar .navbar-collapse {
  clear: right;
}
[dir="rtl"] #menubar .navbar-nav {
  float: right;
}
[dir="rtl"] #menubar .nav {
  padding-right: 0px;
}
[dir="rtl"] #menubar .navbar-nav > li {
  float: right;
}
[dir="rtl"] #menubar .navbar-right {
  float: left !important;
}
[dir="rtl"] ul.dropdown-menu {
  text-align: right;
  left: auto;
}
[dir="rtl"] ul#new-menu.dropdown-menu {
  right: auto;
  left: 0;
}
.nav-wrapper {
  border-bottom: 1px solid #e7e7e7;
}
i.menu-icon {
  padding-top: 4px;
}
[dir="rtl"] i.menu-icon.pull-right {
  float: left !important;
  float: left;
}
ul#help_menu li a {
  overflow: hidden;
  padding-right: 2.2em;
}
ul#help_menu li a i {
  margin-right: -1.2em;
}
[dir="rtl"] ul#help_menu li a {
  padding-left: 2.2em;
}
[dir="rtl"] ul#help_menu li a i {
  margin-right: 0;
  margin-left: -1.2em;
}
[dir="rtl"] ul#help_menu li a i.pull-right {
  float: left !important;
  float: left;
}
.dropdown-submenu {
  position: relative;
}
.dropdown-submenu > .dropdown-menu {
  top: 0;
  left: 100%;
  margin-top: -6px;
  margin-left: -1px;
}
[dir="rtl"] .dropdown-submenu > .dropdown-menu {
  right: 100%;
  margin-right: -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.fa-pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.fa-pull-right {
  margin-left: .3em;
}
.dropdown-submenu > a:after.pull-left {
  margin-right: .3em;
}
.dropdown-submenu > a:after.pull-right {
  margin-left: .3em;
}
[dir="rtl"] .dropdown-submenu > a:after {
  float: left;
  content: "\f0d9";
  margin-right: 0;
  margin-left: -10px;
}
.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;
}
[dir="rtl"] #notification_area {
  float: left !important;
  float: left;
}
.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;
}
[dir="rtl"] .indicator_area {
  float: left !important;
  float: left;
}
#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;
}
[dir="rtl"] #kernel_indicator {
  float: left !important;
  float: left;
  border-left: 0;
  border-right: 1px solid;
}
#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;
}
[dir="rtl"] #modal_indicator {
  float: left !important;
  float: left;
}
#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.fa-pull-left {
  margin-right: .3em;
}
.edit_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.command_mode .modal_indicator:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.kernel_idle_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.kernel_busy_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.kernel_dead_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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.fa-pull-left {
  margin-right: .3em;
}
.kernel_disconnected_icon:before.fa-pull-right {
  margin-left: .3em;
}
.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;
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<h1 id="Examine-ND-results-by-chain-SStype">Examine ND results by chain SStype<a class="anchor-link" href="#Examine-ND-results-by-chain-SStype">&#182;</a></h1><ul>
<li>Protein chains are partitioned into three classes by secondary structure content. </li>
<li>Correlations with exp. fold rate vary by SStype and ND variant.</li>
<li>Fold rate corrs should at least outperform N for the task of fold rate prediction, and outperform h for the purpose of estimating a resonable edge ordering.</li>
</ul>
<ul>
<li>Slightly improved correlation for UZ when peak Es from ND variants are mixed by SStype and $p_e$ is adjusted by SStype.</li>
</ul>
<ul>
<li>K correlation largely a factor of <em>AB</em> chains, which dominates the dataset.</li>
</ul>
<ul>
<li>Results point to a need for a more subtle contact formation strategy in ND: context-sensitive at level of nodes or edges.</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">os</span>
<span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
<span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</span>
<span class="kn">from</span> <span class="nn">scipy.stats</span> <span class="kn">import</span> <span class="n">pearsonr</span>
<span class="kn">from</span> <span class="nn">sklearn</span> <span class="kn">import</span> <span class="n">linear_model</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">import</span> <span class="nn">NDutils</span> <span class="k">as</span> <span class="nn">nd</span> <span class="c1"># my lib</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">NDVs</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;y&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">,</span> <span class="s1">&#39;x&#39;</span><span class="p">,</span> <span class="s1">&#39;h&#39;</span><span class="p">]</span>
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<ul>
<li>ND variants are arranged in LE/SE priority order in the sense that models towards the right respect the tenent of forming SE over LE more strictly, while models towards the left give more chances for LE to form before SE, with 'y' adopting this inversion of priority explicitly in its $p_e$.</li>
<li>'h' is distinct from the other ND variants in that edge ordering is strictly determined by sequence distance (increasing monotonically), while the other ND variants are stochastic processes.</li>
</ul>

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<h2 id="Uzunoglu">Uzunoglu<a class="anchor-link" href="#Uzunoglu">&#182;</a></h2>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dirname</span> <span class="o">=</span> <span class="s2">&quot;Uzunoglu&quot;</span>
<span class="n">fn</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dirname</span><span class="p">,</span> <span class="s2">&quot;UZ_foldtype.txt&quot;</span><span class="p">)</span>
<span class="n">DF</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_table</span><span class="p">(</span><span class="n">fn</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39; &#39;</span><span class="p">)</span>
<span class="n">DF</span><span class="o">.</span><span class="n">head</span><span class="p">()</span> <span class="c1"># reserve DF for this purpose!</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>pid</th>
      <th>N</th>
      <th>SRIM</th>
      <th>LRIM</th>
      <th>k_f</th>
      <th>SStype</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>1afi</td>
      <td>72</td>
      <td>-7.50</td>
      <td>-6.25</td>
      <td>0.26</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1</th>
      <td>1aps</td>
      <td>98</td>
      <td>-9.41</td>
      <td>-6.97</td>
      <td>-0.64</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>2</th>
      <td>1ayi</td>
      <td>86</td>
      <td>-5.87</td>
      <td>-5.75</td>
      <td>3.13</td>
      <td>a</td>
    </tr>
    <tr>
      <th>3</th>
      <td>1bf4</td>
      <td>63</td>
      <td>-5.77</td>
      <td>-5.43</td>
      <td>3.02</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>4</th>
      <td>1c9o</td>
      <td>66</td>
      <td>-7.54</td>
      <td>-6.07</td>
      <td>3.14</td>
      <td>b</td>
    </tr>
  </tbody>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">UZ_PIDs</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">pid</span><span class="o">.</span><span class="n">values</span>
<span class="n">UZ_frates</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">k_f</span><span class="o">.</span><span class="n">values</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">UZ_PIDs</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">ptp</span><span class="p">(</span><span class="n">UZ_frates</span><span class="p">))</span>
<span class="n">UZ_SStypes</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">SStype</span><span class="o">.</span><span class="n">values</span>
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<pre>52 5.96
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<h3 id="Defining-SStype-for-chains">Defining SStype for chains<a class="anchor-link" href="#Defining-SStype-for-chains">&#182;</a></h3><ul>
<li>The three chain fold types or chain <em>SStypes</em> are: <ul>
<li><em>A</em> for chains with predominantly $\alpha$ residues<ul>
<li>number of $\alpha$ residues (nH) &gt; 3, number of $\beta$ residues (nS) &lt; 11, and nH/nS $\approx$ nH or &gt;&gt; 1;</li>
</ul>
</li>
<li><em>B</em> for chains with predominantly $\beta$ residues<ul>
<li>nS &gt; 10, nH &lt; 4, and nH/nS $\approx$ 0.0;</li>
</ul>
</li>
<li><em>AB</em> otherwise.</li>
</ul>
</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">count_HSTs</span><span class="p">(</span><span class="s2">&quot;Uzunoglu&quot;</span><span class="p">,</span> <span class="n">UZ_PIDs</span><span class="p">,</span> <span class="n">UZ_SStypes</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="n">df</span><span class="o">.</span><span class="n">dtypes</span><span class="p">)</span>
<span class="n">df</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
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<pre>H           int64
S           int64
T           int64
hsr       float64
SStype     object
dtype: object
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      <th>hsr</th>
      <th>SStype</th>
    </tr>
  </thead>
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    <tr>
      <th>2qjl</th>
      <td>29</td>
      <td>33</td>
      <td>37</td>
      <td>0.878788</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1ayi</th>
      <td>50</td>
      <td>0</td>
      <td>36</td>
      <td>50.000000</td>
      <td>a</td>
    </tr>
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      <th>1e0m</th>
      <td>0</td>
      <td>13</td>
      <td>24</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1div_c</th>
      <td>34</td>
      <td>37</td>
      <td>22</td>
      <td>0.918919</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1rlq</th>
      <td>0</td>
      <td>22</td>
      <td>34</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">da</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;a&#39;&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">da</span><span class="p">))</span>
<span class="n">da</span>
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<pre>15
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<table border="1" class="dataframe">
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      <th></th>
      <th>H</th>
      <th>S</th>
      <th>T</th>
      <th>hsr</th>
      <th>SStype</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>1ayi</th>
      <td>50</td>
      <td>0</td>
      <td>36</td>
      <td>50.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1enh</th>
      <td>38</td>
      <td>0</td>
      <td>16</td>
      <td>38.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1fex</th>
      <td>31</td>
      <td>0</td>
      <td>28</td>
      <td>31.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1hrc</th>
      <td>43</td>
      <td>2</td>
      <td>59</td>
      <td>21.500000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1idy</th>
      <td>33</td>
      <td>0</td>
      <td>21</td>
      <td>33.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1imq</th>
      <td>46</td>
      <td>0</td>
      <td>40</td>
      <td>46.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1lmb</th>
      <td>62</td>
      <td>0</td>
      <td>25</td>
      <td>62.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1ryk</th>
      <td>45</td>
      <td>0</td>
      <td>24</td>
      <td>45.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1ss1</th>
      <td>43</td>
      <td>0</td>
      <td>17</td>
      <td>43.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1w4e</th>
      <td>19</td>
      <td>4</td>
      <td>22</td>
      <td>4.750000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1w4j</th>
      <td>23</td>
      <td>3</td>
      <td>25</td>
      <td>7.666667</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1yza</th>
      <td>70</td>
      <td>0</td>
      <td>36</td>
      <td>70.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2abd</th>
      <td>52</td>
      <td>0</td>
      <td>34</td>
      <td>52.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2bth</th>
      <td>22</td>
      <td>2</td>
      <td>21</td>
      <td>11.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2pdd</th>
      <td>19</td>
      <td>0</td>
      <td>23</td>
      <td>19.000000</td>
      <td>a</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># reclassified 1o6x as &#39;ab&#39;, nH &gt; 3</span>
<span class="n">db</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;b&#39;&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">db</span><span class="p">))</span>
<span class="n">db</span>
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<pre>17
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      <th></th>
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    </tr>
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      <th>1c9o</th>
      <td>3</td>
      <td>41</td>
      <td>22</td>
      <td>0.073171</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1csp</th>
      <td>3</td>
      <td>37</td>
      <td>27</td>
      <td>0.081081</td>
      <td>b</td>
    </tr>
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      <th>1e0l</th>
      <td>0</td>
      <td>12</td>
      <td>25</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1e0m</th>
      <td>0</td>
      <td>13</td>
      <td>24</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1fnf_9</th>
      <td>0</td>
      <td>49</td>
      <td>39</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1g6p</th>
      <td>0</td>
      <td>31</td>
      <td>35</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1jo8</th>
      <td>3</td>
      <td>26</td>
      <td>29</td>
      <td>0.115385</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1k9q</th>
      <td>0</td>
      <td>13</td>
      <td>27</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1m9s</th>
      <td>3</td>
      <td>17</td>
      <td>55</td>
      <td>0.176471</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1mjc</th>
      <td>3</td>
      <td>34</td>
      <td>32</td>
      <td>0.088235</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1psf</th>
      <td>0</td>
      <td>21</td>
      <td>48</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1rlq</th>
      <td>0</td>
      <td>22</td>
      <td>34</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1shf</th>
      <td>3</td>
      <td>27</td>
      <td>29</td>
      <td>0.111111</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1shg</th>
      <td>3</td>
      <td>29</td>
      <td>25</td>
      <td>0.103448</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1ten</th>
      <td>0</td>
      <td>48</td>
      <td>41</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1tit</th>
      <td>0</td>
      <td>33</td>
      <td>56</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
    <tr>
      <th>3ait</th>
      <td>0</td>
      <td>38</td>
      <td>36</td>
      <td>0.000000</td>
      <td>b</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># reclassified 1g6p, 1m9s &#39;b&#39;</span>
<span class="n">dab</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;ab&#39;&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">dab</span><span class="p">))</span>
<span class="n">dab</span>
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<pre>20
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<style scoped>
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        vertical-align: middle;
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>H</th>
      <th>S</th>
      <th>T</th>
      <th>hsr</th>
      <th>SStype</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>1afi</th>
      <td>21</td>
      <td>21</td>
      <td>30</td>
      <td>1.000000</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1aps</th>
      <td>18</td>
      <td>36</td>
      <td>44</td>
      <td>0.500000</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1bf4</th>
      <td>15</td>
      <td>33</td>
      <td>15</td>
      <td>0.454545</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1div_c</th>
      <td>34</td>
      <td>37</td>
      <td>22</td>
      <td>0.918919</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1div_n</th>
      <td>26</td>
      <td>13</td>
      <td>18</td>
      <td>2.000000</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1fkb</th>
      <td>11</td>
      <td>43</td>
      <td>53</td>
      <td>0.255814</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1n88</th>
      <td>22</td>
      <td>27</td>
      <td>47</td>
      <td>0.814815</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1o6x</th>
      <td>25</td>
      <td>16</td>
      <td>40</td>
      <td>1.562500</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1pgb</th>
      <td>14</td>
      <td>24</td>
      <td>18</td>
      <td>0.583333</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1poh</th>
      <td>29</td>
      <td>23</td>
      <td>33</td>
      <td>1.260870</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1rfa</th>
      <td>15</td>
      <td>21</td>
      <td>42</td>
      <td>0.714286</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1ris</th>
      <td>28</td>
      <td>47</td>
      <td>22</td>
      <td>0.595745</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1spr</th>
      <td>18</td>
      <td>31</td>
      <td>54</td>
      <td>0.580645</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1ubq</th>
      <td>18</td>
      <td>26</td>
      <td>32</td>
      <td>0.692308</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1urn</th>
      <td>31</td>
      <td>24</td>
      <td>41</td>
      <td>1.291667</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>2acy</th>
      <td>24</td>
      <td>41</td>
      <td>33</td>
      <td>0.585366</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>2ci2</th>
      <td>14</td>
      <td>18</td>
      <td>33</td>
      <td>0.777778</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>2ptl</th>
      <td>12</td>
      <td>25</td>
      <td>25</td>
      <td>0.480000</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>2qjl</th>
      <td>29</td>
      <td>33</td>
      <td>37</td>
      <td>0.878788</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>2vik</th>
      <td>27</td>
      <td>30</td>
      <td>69</td>
      <td>0.900000</td>
      <td>ab</td>
    </tr>
  </tbody>
</table>
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<h3 id="Initial-exploration-of-UZ-DF">Initial exploration of UZ DF<a class="anchor-link" href="#Initial-exploration-of-UZ-DF">&#182;</a></h3><ul>
<li>There should be a sensible relationship between exp. fold rate with:<ul>
<li>chain length <em>N</em>: longer chains (larger <em>N</em>) generally take longer to fold (smaller fold rate value). Scaled <em>N</em> is also examined: 1/2, 2/3.</li>
<li>chain <em>SStype</em>: <em>A</em> chains generally fold faster (larger fold rate value) than <em>B</em> chains.</li>
</ul>
</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">n_dr</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">frate_corrs_with_N_by_SStype</span><span class="p">(</span><span class="n">DF</span><span class="p">,</span> <span class="s2">&quot;Uzunoglu (52)&quot;</span><span class="p">)</span>
<span class="n">n_dr</span>
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<pre>Pearson correlation with exp. fold rate: chain-length N 1
All: [-0.4355  0.0013]
A: [-0.6721  0.0061]
AB: [-0.185   0.4349]
B: [-7.425e-01  6.000e-04]

Pearson correlation with exp. fold rate: chain-length N 0.5
All: [-0.4572  0.0007]
A: [-0.6842  0.0049]
AB: [-0.1988  0.4009]
B: [-7.502e-01  5.000e-04]

Pearson correlation with exp. fold rate: chain-length N 0.6666666666666666
All: [-0.4504  0.0008]
A: [-0.6807  0.0052]
AB: [-0.1944  0.4115]
B: [-7.479e-01  6.000e-04]

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      <th></th>
      <th>n_rs</th>
      <th>n_ps</th>
      <th>n12_rs</th>
      <th>n12_ps</th>
      <th>n23_rs</th>
      <th>n23_ps</th>
    </tr>
    <tr>
      <th>SStype</th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
      <th></th>
    </tr>
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    <tr>
      <th>Z</th>
      <td>-0.435466</td>
      <td>0.001253</td>
      <td>-0.457243</td>
      <td>0.000655</td>
      <td>-0.450355</td>
      <td>0.000808</td>
    </tr>
    <tr>
      <th>A</th>
      <td>-0.672115</td>
      <td>0.006056</td>
      <td>-0.684221</td>
      <td>0.004902</td>
      <td>-0.680697</td>
      <td>0.005218</td>
    </tr>
    <tr>
      <th>AB</th>
      <td>-0.185007</td>
      <td>0.434873</td>
      <td>-0.198762</td>
      <td>0.400861</td>
      <td>-0.194397</td>
      <td>0.411493</td>
    </tr>
    <tr>
      <th>B</th>
      <td>-0.742475</td>
      <td>0.000641</td>
      <td>-0.750195</td>
      <td>0.000523</td>
      <td>-0.747886</td>
      <td>0.000556</td>
    </tr>
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<h3 id="ND-hard-(ndh)">ND-hard (ndh)<a class="anchor-link" href="#ND-hard-(ndh)">&#182;</a></h3><ul>
<li>PRN0 edges are batch recreated in monotonically increasing sequence distance order.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dirn</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">&quot;UZ_NDH&quot;</span><span class="p">,</span> <span class="s2">&quot;hard&quot;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># example of a datafile</span>
<span class="n">pid</span> <span class="o">=</span> <span class="s2">&quot;1aps&quot;</span>
<span class="n">fn</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">pid</span> <span class="o">+</span> <span class="s2">&quot;_bsd_hstats_h.out&quot;</span><span class="p">)</span>
<span class="n">dh</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_table</span><span class="p">(</span><span class="n">fn</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39; &#39;</span><span class="p">)</span>
<span class="n">dh</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>bid</th>
      <th>fe</th>
      <th>fsc</th>
      <th>sc_mje</th>
      <th>num_sc</th>
      <th>num_scle</th>
      <th>num_nnsc</th>
      <th>num_nnscle</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>2</td>
      <td>0.137536</td>
      <td>0.000000</td>
      <td>0.00</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
    </tr>
    <tr>
      <th>1</th>
      <td>3</td>
      <td>0.237822</td>
      <td>0.371257</td>
      <td>71.70</td>
      <td>62</td>
      <td>0</td>
      <td>96</td>
      <td>0</td>
    </tr>
    <tr>
      <th>2</th>
      <td>4</td>
      <td>0.295129</td>
      <td>0.479042</td>
      <td>101.00</td>
      <td>80</td>
      <td>0</td>
      <td>119</td>
      <td>0</td>
    </tr>
    <tr>
      <th>3</th>
      <td>5</td>
      <td>0.340974</td>
      <td>0.485030</td>
      <td>180.40</td>
      <td>81</td>
      <td>0</td>
      <td>151</td>
      <td>0</td>
    </tr>
    <tr>
      <th>4</th>
      <td>6</td>
      <td>0.368195</td>
      <td>0.491018</td>
      <td>226.07</td>
      <td>82</td>
      <td>0</td>
      <td>168</td>
      <td>0</td>
    </tr>
  </tbody>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">maxEs</span><span class="p">,</span> <span class="n">argmaxEs</span><span class="p">,</span> <span class="n">maxE_sds</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndh_maxEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">UZ_PIDs</span><span class="p">)</span>
<span class="n">h_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">maxE</span><span class="o">=</span><span class="n">maxEs</span><span class="p">,</span> <span class="n">maxE_sd</span><span class="o">=</span><span class="n">maxE_sds</span><span class="p">)</span>
<span class="n">h_df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>pid</th>
      <th>N</th>
      <th>SRIM</th>
      <th>LRIM</th>
      <th>k_f</th>
      <th>SStype</th>
      <th>maxE</th>
      <th>maxE_sd</th>
    </tr>
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    <tr>
      <th>0</th>
      <td>1afi</td>
      <td>72</td>
      <td>-7.50</td>
      <td>-6.25</td>
      <td>0.26</td>
      <td>ab</td>
      <td>372.23</td>
      <td>13</td>
    </tr>
    <tr>
      <th>1</th>
      <td>1aps</td>
      <td>98</td>
      <td>-9.41</td>
      <td>-6.97</td>
      <td>-0.64</td>
      <td>ab</td>
      <td>462.15</td>
      <td>27</td>
    </tr>
    <tr>
      <th>2</th>
      <td>1ayi</td>
      <td>86</td>
      <td>-5.87</td>
      <td>-5.75</td>
      <td>3.13</td>
      <td>a</td>
      <td>213.28</td>
      <td>10</td>
    </tr>
    <tr>
      <th>3</th>
      <td>1bf4</td>
      <td>63</td>
      <td>-5.77</td>
      <td>-5.43</td>
      <td>3.02</td>
      <td>ab</td>
      <td>95.47</td>
      <td>9</td>
    </tr>
    <tr>
      <th>4</th>
      <td>1c9o</td>
      <td>66</td>
      <td>-7.54</td>
      <td>-6.07</td>
      <td>3.14</td>
      <td>b</td>
      <td>109.78</td>
      <td>10</td>
    </tr>
  </tbody>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s2">&quot;maxE_sds:&quot;</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">maxE_sds</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">maxE_sds</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">1</span><span class="p">),</span> 
      <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">maxE_sds</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">maxE_sds</span><span class="p">))</span>
<span class="c1"># correlation maxEs with exp. fold rate</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;maxE Pearson corr. with exp. fold rate:&quot;</span><span class="p">,</span> <span class="n">pearsonr</span><span class="p">(</span><span class="n">maxEs</span><span class="p">,</span> <span class="n">UZ_frates</span><span class="p">))</span>
<span class="c1"># check for outliers</span>
<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">maxEs</span><span class="p">,</span> <span class="n">UZ_frates</span><span class="p">)</span>
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<pre>maxE_sds: 12.73076923076923 5.299335454510013 4 31
maxE Pearson corr. with exp. fold rate: (-0.4445872304072675, 0.0009598432602786288)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">h_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;maxE &gt; 700&quot;</span><span class="p">)</span> <span class="c1"># outlier</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
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    }

    .dataframe thead th {
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>pid</th>
      <th>N</th>
      <th>SRIM</th>
      <th>LRIM</th>
      <th>k_f</th>
      <th>SStype</th>
      <th>maxE</th>
      <th>maxE_sd</th>
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    <tr>
      <th>50</th>
      <td>2vik</td>
      <td>126</td>
      <td>-7.44</td>
      <td>-6.25</td>
      <td>2.95</td>
      <td>ab</td>
      <td>762.08</td>
      <td>21</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">h_rs</span><span class="p">,</span> <span class="n">h_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_maxE_by_SStype</span><span class="p">(</span><span class="n">h_df</span><span class="p">)</span>
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<pre>maxE_sd mean stdev
All: [12.7308  5.2993]
A: [10.6667  2.3503]
AB: [16.1    5.821]
B: [10.5882  4.6241]

Pearson correlation with exp. fold rate: maxE
All: [-0.4446  0.001 ]
A: [-0.5552  0.0317]
AB: [-0.326   0.1607]
B: [-0.555   0.0207]

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<ul>
<li>Compared with <em>A</em> and <em>B</em> chains, AB chains have larger maxE_sd on average.<ul>
<li>maxE_sd marks the point where ND energy profile changes direction (increase to decrease).</li>
<li>A hint that perhaps LE need to appear earlier.</li>
<li>Corr. for AB is not significant (p &gt; 0.05) because of the outlier.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax1</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
<span class="n">ax</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">plot_maxE_by_SStype</span><span class="p">(</span><span class="n">h_df</span><span class="p">,</span> <span class="n">ax1</span><span class="p">,</span> <span class="n">h_rs</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Uzunoglo h &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">h_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">)),</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">_</span> <span class="o">=</span> <span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># excluding outlier</span>
<span class="n">h1_df</span> <span class="o">=</span> <span class="n">h_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;pid != &#39;2vik&#39;&quot;</span><span class="p">)</span> <span class="c1"># ab</span>
<span class="nb">len</span><span class="p">(</span><span class="n">h1_df</span><span class="p">)</span>
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<pre>51</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">h1_rs</span><span class="p">,</span> <span class="n">h1_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_maxE_by_SStype</span><span class="p">(</span><span class="n">h1_df</span><span class="p">)</span>
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<pre>maxE_sd mean stdev
All: [12.5686  5.2202]
A: [10.6667  2.3503]
AB: [15.8421  5.862 ]
B: [10.5882  4.6241]

Pearson correlation with exp. fold rate: maxE
All: [-0.5417  0.    ]
A: [-0.5552  0.0317]
AB: [-0.6196  0.0047]
B: [-0.555   0.0207]

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<h3 id="ND-variants-(ndv):-craxy">ND variants (ndv): craxy<a class="anchor-link" href="#ND-variants-(ndv):-craxy">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dirn</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">&quot;UZ_ND3&quot;</span><span class="p">,</span> <span class="s2">&quot;edv_a&quot;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">UZ_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;a&#39;</span><span class="p">)</span>
<span class="n">a_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">a_rs</span><span class="p">,</span> <span class="n">a_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">a_df</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">UZ_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;c&#39;</span><span class="p">)</span>
<span class="n">c_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">c_rs</span><span class="p">,</span> <span class="n">c_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">c_df</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">UZ_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;x&#39;</span><span class="p">)</span>
<span class="n">x_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">x_rs</span><span class="p">,</span> <span class="n">x_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">x_df</span><span class="p">,</span> <span class="s1">&#39;x&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">UZ_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;r&#39;</span><span class="p">)</span>
<span class="n">r_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">r_rs</span><span class="p">,</span> <span class="n">r_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">r_df</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">UZ_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;y&#39;</span><span class="p">)</span>
<span class="n">y_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">y_rs</span><span class="p">,</span> <span class="n">y_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">y_df</span><span class="p">,</span> <span class="s1">&#39;y&#39;</span><span class="p">)</span>
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<pre>Pearson correlation with exp. fold rate: a
All: [-0.7267  0.    ]
A: [-0.4121  0.1269]
AB: [-0.6481  0.002 ]
B: [-0.5744  0.0159]

Pearson correlation with exp. fold rate: c
All: [-0.7106  0.    ]
A: [-0.437   0.1033]
AB: [-0.5412  0.0137]
B: [-0.6408  0.0056]

Pearson correlation with exp. fold rate: x
All: [-0.6995  0.    ]
A: [-0.47    0.0771]
AB: [-0.4938  0.0269]
B: [-0.7052  0.0016]

Pearson correlation with exp. fold rate: r
All: [-0.2145  0.1268]
A: [-0.559   0.0303]
AB: [-0.1903  0.4217]
B: [-0.3294  0.1967]

Pearson correlation with exp. fold rate: y
All: [0.0664 0.6402]
A: [-0.6905  0.0044]
AB: [-0.1091  0.6471]
B: [-0.3274  0.1995]

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<h3 id="Summary-of-results-for-analysis-of-UZ-by-SStype">Summary of results for analysis of UZ by SStype<a class="anchor-link" href="#Summary-of-results-for-analysis-of-UZ-by-SStype">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># df = eval(&#39;a&#39; + &quot;_df&quot;)</span>
<span class="c1"># np.all(df.peakE.values == a_df.peakE.values) # True</span>

<span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</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="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">7</span><span class="p">),</span> <span class="n">constrained_layout</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s2">&quot;Uzunoglo (52)&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">ndv</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">NDVs</span><span class="p">[:</span><span class="o">-</span><span class="mi">1</span><span class="p">]):</span>
    <span class="n">r</span> <span class="o">=</span> <span class="n">i</span><span class="o">//</span><span class="mi">3</span><span class="p">;</span> <span class="n">c</span> <span class="o">=</span> <span class="n">i</span><span class="o">%</span><span class="k">3</span>; ax1 = axes[r][c]
    <span class="n">df</span> <span class="o">=</span> <span class="nb">eval</span><span class="p">(</span><span class="n">ndv</span> <span class="o">+</span> <span class="s2">&quot;_df&quot;</span><span class="p">);</span> <span class="n">rs</span> <span class="o">=</span> <span class="nb">eval</span><span class="p">(</span><span class="n">ndv</span> <span class="o">+</span> <span class="s2">&quot;_rs&quot;</span><span class="p">)</span>
    <span class="n">nd</span><span class="o">.</span><span class="n">plot_peakE_by_SStype</span><span class="p">(</span><span class="n">df</span><span class="p">,</span> <span class="n">ax1</span><span class="p">,</span> <span class="n">rs</span><span class="p">)</span>
    <span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="n">ndv</span> <span class="o">+</span> <span class="s1">&#39; &#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">))</span> <span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
    <span class="n">ax1</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">)</span>

<span class="n">ax1</span> <span class="o">=</span> <span class="n">axes</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="n">nd</span><span class="o">.</span><span class="n">plot_maxE_by_SStype</span><span class="p">(</span><span class="n">h_df</span><span class="p">,</span> <span class="n">ax1</span><span class="p">,</span> <span class="n">h_rs</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;h &#39;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">h_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">)),</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">_</span> <span class="o">=</span> <span class="n">ax1</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">)</span>
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VyES49BK1++vK5Zs6azwxBC5MHWrVsvaq0rODsOe5CcJIT7c6ecJDlHCPeXm5zj0hW0mjVrsmXLFmeHIYTIA6XU8ez3cg+Sk4Rwf+6UkyTnCOH+cpNzpIujEEIIIYQQQrgIqaAJIYQQQgghhIuQCloBFhIWwqfrP3V2GEIIN3P+6nme+uMpklOSnR2KEKKA0Voz7M9hnI4+7exQhHBZLj0GTeSe1poX/n6BAxcP8EDjBwgoGeDskIQQbmLiuol8u+1butXsxsCmA50dTqGXmJhIeHg48fHxzg7Frfj4+BAQEIC3t7ezQxHpLDywkK+2fIWH8uCzOz5zdjiFmuQW+7JnzpEKWgG16MAiAIa1HsbYNWP5/I7PnRyREMIdnL96nmnbpjG9z3RGrxrN/zX+Pzw9PJ0dVqEWHh5OiRIlqFmzJkopZ4fjFrTWREREEB4eTq1atZwdjrDQWjMqZBRf3/U1ry97nTc6vUHVklWdHVahJbnFfuydc6SLYwGktWZkyEhGdh3Jqx1fZdauWYRHhTs7LCGEG5i4biIPNn2Qx4Ifo6xvWX7Z84uzQyr04uPjKVeunNxA5YBSinLlyknLgItZeGAhCsWTLZ7kieZPMHbNWGeHVKhJbrEfe+ccqaAVQNbWsz71+1CxeEWebPGkJEEhRLasrWdvdHoDpRQju45k9KrRMhbNBcgNVM7Jz8y1WFvPRnYbiVKKVzu8ysxdMzkVdcrZoRVq8ntiP/b8WUoFzcVFJUShtbZ5//StZ9b/KK90eEVa0YRwc1prohOi8/Ua1tYz65jV22rfJq1ohcCYMWNo3LgxzZo1Izg4mI0bN7J48WKaN29OUFAQjRo14uuvvwZgwYIF7N2718kRC3dw9drVDA93rK1nd9e7G4BKfpWkFa0QkTyTMzIGzYUlJCXQ9KumvNvlXQa3GGzTMauOryL0bCjj1o5j/LrxqeXJOpmpW6byQfcP8itcIUQ+mrxxMl9v/Zrdz+zOlzFhicmJfLH5C2qUqkHH7zqmlodHhTNp4ySZLKSAWr9+PYsXL2bbtm0ULVqUixcvcvXqVe677z42bdpEQEAACQkJhIWFAebG6a677qJRo0bODVy4NK01t8+8nQ7VOjD2NlMBm7RhEhdiL9BpRqfU/a7EX+HQpUOM6zGOYt7FnBWuyGeSZ3JOKmgubEboDHy9fPlg9Qc8EvQIRTyLZHtM+2rtWfvE2kxb3eqVq5cfYQoh8llsYizj1o6jZNGSzN0zlwebPmj3a3h5eLH2ibVcvXb1hm0Vi1e0+/WEazhz5gzly5enaNGiAJQvXx4PDw+SkpIoV64cAEWLFqV+/fqsW7eORYsWERISwgcffMBvv/3GAw88wLZt2wA4dOgQAwYMYOvWrdSsWZP+/fuzYsUKAGbNmkVgYCAXLlzg6aef5sSJEwBMmjSJjh07ZhKZcGfLjy3nxJUT7Lmwh5fbv0yF4hWY3mc6Z2PO3rCvr7cvvl6+TohSOIrkmVzQWrvsq2XLlrqwik+M19U+qaY3nNyge/zYQ3+79VtnhyRErgBbtAvkE3u8nJWTPln3ib5/7v162ZFluv5n9XVScpJT4hDOsXfv3nw7d3R0tA4KCtJ169bVzzzzjF65cqXWWuvBgwfrChUq6AEDBuiff/5ZJycna621fvTRR/Wvv/6aeny3bt309u3btdZav/nmm3rKlClaa61r1KihP/jgA6211j/88IO+8847tdZaDxw4UK9evVprrfXx48d1gwYN8u2zaZ35z86dcpI73gelpKToTt910j/t+EkP+3OYfu2f15wdkshCfuaW9Ap6nknPXjnHoWPQlFJhSqldSqlQpdQWR17b3cwInUGTik1oG9CW97q+x5jVY7iWfM3ZYbmEMavGcPjSYWeHIQoAd8hJsYmxjF83nne7vEv3Wt2pULwCc/fMdXZY+eLPg38yb+88Z4dRqPj5+bF161a++eYbKlSoQP/+/fn++++ZNm0a//33H23atGHixIk88cQTmR7/5JNPMmPGDJKTk5k7dy4PPpjWujtw4MDU9/Xr1wOwbNkynn32WYKDg+nTpw9RUVFER+fv2EpX4w55Jy+WH1vO+avnGdBkAG90eoNp26dx4eqFTPdddGAR8/fNd3CEwtEkz+RCTmt0eXkBYUB5W/d3xydH9pC+9cxKWtGMbae3aTVS6YHzBjo7FGEjXPhptTvkJGvrmVVBbUVLSErQNT6toStPrKyvXrvq7HBciqOecmut9a+//qrvuuuuDGUXLlzQfn5+Wusbn2zHxcXpunXr6gULFugHHnggtbxGjRr66NGjWmutr127psuVK6e11rpcuXI6NjY2vz9GKldsQctJ3nG3+6D0rWdWWbWiWe91qnxcRcclxjkyTGHhyNySXkHLM+m5ZQuasM2M0BlUKF4BX29fdp7byc5zO7m/4f3SigaMChnF+7e8z7Kjy9h3YZ+zwxEiX1nHnt1b/97UXFC+WHmAAteK9kPoD9QrV4+O1Try9ZavnR1OoXHgwAEOHTqU+n1oaCiVKlVi5cqVGcpq1KgBQIkSJTI8ifbx8aFXr14888wzPP744xnOPXfu3NT39u3bA9CzZ08+//zzDOcWBcfyY8s5GHGQRhUapeasO+rewZdbvryhFe277d/RtFJTWlVpxbdbv3VSxMIRJM/knKMnCdHAP0opDXyttf7m+h2UUkOBoQDVq1d3cHiuITwqnMTkRB7+/eEM5WV8ynAu5hzVSlVzUmTOtf3Mdjaf3szsvrPx9PDk/VXvM6vvLGeHJdybS+ek8Khw/Ev4M2HdhAzlRTyLEBYZ5tBY8tO15GuMWT2GmffPpETREvT6uRdPtXpKZnVzgJiYGJ577jkiIyPx8vIiMDCQyZMn89RTT/HUU0/h6+tL8eLF+f777wEYMGAAQ4YMYcqUKcybN486derw0EMP8fvvv9OzZ88M505ISKBt27akpKQwe/ZsAKZMmcKwYcNo1qwZSUlJdOnShalTpzr6YzvbTfOOO98HHbl8hErFK/HYgscylNcqXYsjl49QoXgFwMxS/dGaj5j3f/Pw8vDi7tl3M6TlEHy8fJwQtchvkmdyTpmWNwddTKkqWuvTSqmKwL/Ac1rrVVnt36pVK71lS4Hrni1y6d4599K9VneGtx1OdEI0dabUIeSxEBpWaOjs0MRNKKW2aq1bOTuOzEhOcg3fbv2WX/f+yj+P/ANAv1/60bFaR15s/6KTI3MN+/bto2FD181zEydO5MqVK7z//vupZTVr1mTLli2UL1/eiZFl/rNzdk7KSd4pqDnnq81fsfjQYv588E8A7plzD7fVuo3n2j7n5MgKF1fPLem5cp5Jz145x6FdHLXWpy3v54H5QBtHXl+4L2vr2ZAWQwAoUbQEL7V/ifdXvZ/NkUJkTXKS81lbz97r+l5q2btd32X8uvHEJsY6MTJhi/vuu48ff/yR559/3tmhuI3CnnesrWfpf+ff6/oeY9eOJT4p3omRCVdVGPOMw7o4KqWKAx5a62jL1z2B0Y66vnBvn2z4BID75t6XWnY18SprT6xlfI/xBJQMcFZowk1JTnINv+/7ndPRp2942HIl/gqzds3iyRZPOikyYYv58zOfgc+64KzISPIO/Lr3V85fPc+7K97NUH4p7hJzds/hseDHnBOYcFmFMc84cgxaJWC+Usp63Vla678ceH3hxt7t8i4PNX3ohnJvD28q+1V2QkSiAJCc5AJ6B/Zm0cBFN5S/0O4FWlVxyZ6xQuRFoc87d9a9kwUDFtxQ/kK7F2hdpbXjAxLCBTmsgqa1PgoEOep6omCpW64udcvVdXYYogCRnOQaSvuUpndgb2eHIYRDSN6BMr5l5HdeiGzINPtCCCGEEEII4SKkguYitNZ8uv5TGSArRAH1+abPiUqIcnYYQogC6PClw/y651dnhyGEsBP3rqCVBVQmr7LODCp3/jj4By/98xLTt013dihCiNzKIicllk7kuaXPMWXjFKeGJ0RezJ8/H6UU+/fvt2l/rTXDhw8nMDCQZs2asW3btkz3e+yxx6hVqxbBwcEEBwenLiq7cuVKSpUqlVo+enTaXBqTJ0+mSZMmNG7cmEmTJuX1o7m9V/55hccWPnbDYtAuowDdrwn7y6/cYvXcc8/h5+eX+v3+/ftp3749RYsWZeLEianlJ0+e5JZbbqFhw4Y0btyYyZMn5+4D2YF7V9AuY5Z7vP512ZlB5ZzWmpErRzKi8wg+WvORtKIJ4a6yyEneV7x5o+MbTN44mSvxV5waoigcrl67yrHLx+x6ztmzZ9OpUyfmzJlj0/5Lly7l0KFDHDp0iG+++YZnnnkmy30nTJhAaGgooaGhBAcHp5Z37tw5tfzdd82sf7t37+bbb79l06ZN7Nixg8WLF3Po0KE8fTZ3Zl2Gpn/j/kxcNzH7A5yhgNyvCTPb5uno03Y9Z37mli1bthAZGZmhrGzZskyZMoVXXnklQ7mXlxcff/wx+/btY8OGDXzxxRfs3bs3x5/HHty7glZA/HHwDzSa9295n+DKwdKKJkQBsuq4WX929C2juT3wdj7b9JmTIxKFwYjlI7jtp9tITE60y/liYmJYu3Yt06dPt/kmauHChQwaNAilFO3atSMyMpIzZ87kOZZ9+/bRrl07ihUrhpeXF127ds1yGu7CYFTIKN7o+Aajuo3i223fum4rmigQnlr8FP1+6YfW2i7ny8/ckpyczKuvvsr48eMzlFesWJHWrVvj7e2dodzf358WLVoAUKJECRo2bMipU6dy+cnyRipoTmZtPRvZdSRKKd7r+l6+tKLFJcax/6JtTcdCCPsZFTIKAG9Pb97u8rbLtqJFJURx5NIRZ4ch7OBM9Bl+2vkTZX3L8vPOn+1yzgULFtC7d2/q1atH2bJls+1SBHDq1CmqVauW+n1AQECWNzsjRoygWbNmvPjiiyQkJKSWr1+/nqCgIG6//Xb27NkDQJMmTVi1ahURERHExsayZMkSTp48mcdP6J6srWdDWg6hWqlqDGgyIN9a0Xac3UGKTsmXcwv3sOvcLlYfX82luEv8e/Rfu5wzP3PL559/Tp8+ffD3989xXGFhYWzfvp22bdvm+Fh7kAqak1lbz/rU7wNA66qt86UVbczqMXT9vitXr12163mFEFlbdXwVYZFhqd/XK1fPZVvRXv3nVXrP7E1SSpKzQxF5NG7tOB4LeoyJPSbyweoP7NKKNnv2bAYMGADAgAEDmD17drbHZPaE3bL+VwYfffQR+/fvZ/PmzVy6dIlx48YB0KJFC44fP86OHTt47rnnuPfeewFo2LAhr7/+Oj169KB3794EBQXh5eXIZV1dh7X1zMfLB4A3O72ZL61oRy8fpeU3LZmz27YWDlEwjV41mlc7vMrIbiMZuXKkXVrR8iu3nD59ml9//ZXnnnsuxzHFxMTQt29fJk2aRMmSJXN8vD1IBc3JPlrzEd4e3gz9YyhDFg1hyKIhXE28ykdrPrJb83FEbARTt0ylfrn6TN0y1S7nFEJkb+yasfgVMQOTrb/f56+e55P1n5CQlJDN0Y5zPPI48/bNo4xPGWbtmuXscEQeWFvPXu34Kl1rdqVGqRp5bkWLiIhg+fLlPPnkk9SsWZMJEyYwd+7cG/5GffHFF6kTepw+fZqAgIAMLVvh4eFUqVLlhvP7+/ujlKJo0aI8/vjjbNq0CYCSJUumDuy/4447SExM5OLFiwAMHjyYbdu2sWrVKsqWLUvduoVvncy9F/ay8MBCNp3elJpfRoeMxsfLx+4PgcasGkO3mt0YHTKa5JRku55buAdr69nTrZ7mgUYPEBkfmedWtPzMLdu3b+fw4cMEBgZSs2ZNYmNjCQwMzDamxMRE+vbty0MPPcT999+fp8+XF+79yKkMZhagzMrdxIjOIzgTnbHfbJuqbShZtGSmTxpz49MNn9K3YV+GtRlGz5968nSrpylepLhdzi2ESOe6nLSEJQDEl4ynTdU2gPn9fqTZI3h5uE76/XD1hzzd8ml61OnBkD+G8GDTB10qPmE7a+tZZb/KALzX9T2eWPQEDzd7GG9P72yOzty8efMYNGgQX3/9dWpZ165dWbNmDZ07d04tGzZsGMOGDUv9vk+fPnz++ecMGDCAjRs3UqpUqUy7Gp05cwZ/f3+01ixYsIAmTZoAcPbsWSpVqoRSik2bNpGSkkK5cuUAOH/+PBUrVuTEiRP8/vvvrF+/PlefzZ1VLVGVaXdPu6HbYZuqbWhdtbXdrnP08lEWHljIoecOcffsu5m7Zy4PNn0wZycpAPdrhZ219cx6//hu13cZuXIkPWr3yPX9an7mljvvvJOzZ8+mfu/n58fhw4dvGo/WmsGDB9OwYUNeeumlXH0me3Hvv8CXnB1A3t1V7658PX9EbARfbfmKrUO3UrN0TTpV78TULVN5ucPL+XpdIQqlLHKSDz4MYYhjY7GRtfXs4LMHKVesHFVKVGHWrlkMChrk7NBEDp2JPsPXW79mYo+J/Lb3t9TyxOREft75M483fzxX5509ezZvvPFGhrK+ffsya9asDDdR17vjjjtYsmQJgYGBFCtWjBkzZmTYNm3aNKpUqcJDDz3EhQsX0FoTHBzM1Kmmp8e8efP46quv8PLywtfXlzlz5qTeCPbt25eIiAi8vb354osvKFOm8N3pl/IpxeAWg/P9OmNWjWFY62GU8S3DyG4jeXbJs/Rv3B9PD0/bT1IA7tcKs13ndrFw/0Lurnd3am7xUB7subCHf4/+S886PXN13vzOLVk5e/YsrVq1IioqCg8PDyZNmsTevXvZuXMnP/30E02bNk2dTfbDDz/kjjvuyNXnywtlr250+aFVq1Z6y5Ytzg7DLYVFhlG1RFVGhYzi/NXzfHP3NwDsPLeTnj/15MjwI9KKJhxCKbVVa93K2XHYg7vlpNjEWC7HXaZqyapZ7vPUH09Rvlh5xtw6BoAVx1YwdPFQ9g3bJ61oLmLfvn00bNgw2/0ORRzizf/eRHPj3/V+DfsxsOnA/AjPpWX2s3OnnOTsnHP08lHafNuGQ88dooxvGRKTE2k/vT0vtX8p561owuXYmls2n9rM2LVjM902pMUQegf2tndobsteOUf++hZAV69dpe20tjzT6hmmbJzCm53eZPautEGXpX1KSyuaEIXA6/++zvKw5ex6Zhce6sYhx8cjjzMjdAaf9PokNUdoNFevXZVWNDdUt1xd5v3fPGeHIQqQMavGEFw5mL8O/wXA0sNL2X1+NyNXjsx5K5pwW62rtua3//st+x2F3UgFrQCaumUqtUrX4ovNX3B74O3sPL+Tned3pm5v7t+ccsXKOTFCIUR+OxV1ipm7ZlKtVDXm7Z3H/zX+vxv2SUhOoF+jfqw9uTZDedeaXVMnNxFCFF61y9QmNimWRQcXkZSSxOKDi/Er4kfJoiVJ1sl4IhU0IfKDVNAKmKvXrjJx/UT+feRf3l/1Pi39W/Jax9ecHZYQwsHGrhnL4OaDubX2rbz8z8v0a9Tvhla0euXqMauvzNoohMjciC4jUr+evGEyySnJfHjrh3SZ0YWEpASKeBZxYnRCFFwyzX4BM3XLVDpX70yTik14p8s7fLz+Y2KuxTg7LCGEA1lbz17t+Cq96vSiRJESzNsrXd+EELkTlxjHuLXjeLfruzQo34AedXrw+abPnR2WEAWWVNAKEGvr2btd3wWgScUmdKvZjS83f+nkyIQQjmRtPatYvCJKKUZ2G8mokFE3TMcthBC2+GbrN7QLaEdw5WAA3unyDp9u+JTohGjnBiZEASUVtAJk6papVCxekeORx/nz4J/8efBPWvq3ZMK6CdKKJkQhcSrqFN9u+5ZGFRql5oGklCQux12WVjQhRI7FJcYxdu1YWldpnZpTjlw6QrVS1aQVTYh84vAKmlLKUym1XSm12NHXLui8PLwIKBnAl1u+TH2FHA+hQ7UORCVEOTs8IVxSQctJkfGR3Fb7Nubtm5eaB77a8hXN/ZuTlJLk7PCEG5s/fz5KKfbv359aFhYWhq+vL8HBwQQFBdGhQwcOHDiQ7bkSEhLo378/gYGBtG3blrCwsEz3GzFiBNWqVcPPL+OkNcePH+fWW2+lWbNmdOvWjfDw8Dx9Nkdyt5wTfS2atlXbsubkmgz3F5X9KssYNGEXzsgt165dY+jQodSrV48GDRrw228ZZ6mcN28eSinSL3Px2muv0bhxYxo2bMjw4cPJz6XKnDFJyPPAPqCkE65doD3f7nmeb/e8s8OwG611rlenFyIHClROalyxMYsfdOx9n/yuupDkeDj8LZz4BZJioWIXaPACFK+R51PPnj2bTp06MWfOHEaOHJlaXqdOHUJDQwH4+uuv+fDDD/nhhx9ueq7p06dTpkwZDh8+zJw5c3j99deZO3fuDfvdfffdPPvss9StWzdD+SuvvMKgQYN49NFHWb58OW+++SY//fRTnj+jg7hVzqlYvCILBizI9fGSHwqIxCg4+AWELwKdDP49of5w8KmY51M7I7eMGTOGihUrcvDgQVJSUrh0KW019ejoaKZMmULbtm1Ty9atW8fatWvZudPMit6pUydCQkLo1q1b7j/4TTi0BU0pFQDcCUxz5HWFe7p79t18s/UbZ4chCjDJSXk3bs04Bi2Q9dJcQlIcLO8BW4fDhTVweRscmARLm0PkrjydOiYmhrVr1zJ9+nTmzJmT5X5RUVGUKVMm2/MtXLiQRx99FIB+/frx33//Zfo0ul27dvj7+99QvnfvXm699VYAbrnlFhYuXGjrR3GqwpZz5u6eS9fvu+ZrS4NwgGuX4Z8OsOMtiNgAlzbDnjHwV0u4eiJPp3ZWbvnuu+948803AfDw8KB8+fKp29555x1ee+01fHx8UsuUUsTHx3Pt2jUSEhJITEykUqVKNn/OnLK5gqaU8lFK9VNKva6UKm0pq6OUKpuD600CXgNkpLq4qdXHV7Pp1CZGhYwiPine2eEIF2WHvDQJyUm5FhkfyYR1E1h6aCm7zuWtAiDs4PDXpmLmWxU6zoFbV0DlHubmastzeTr1ggUL6N27N/Xq1aNs2bJs27YtdduRI0cIDg6mTp06fPLJJ7z00kvZnu/UqVNUq1YNAC8vL0qVKkVERITN8QQFBaV2SZo/fz7R0dE5Oj63JOfYLikliXdWvMP+i/v589Cfzg5H5MWej+DKHihZH7oshFv+hnJtIDYcQt/I06mdkVsiIyMBUxFr0aIFDzzwAOfOnQNg+/btnDx5krvuuivDMe3bt+eWW27B398ff39/evXqRcOGDfPy0W/KpgqaUioQ0xw/FRgDWBPRM8B4G89xF3Bea701m/2GKqW2KKW2XLhwwZZTiwJoVMgoxt42lpb+Lfl267fODke4oLzmJclJeTdl4xTurHcnb3Z6k9GrRjs7HHHc0o2n5SSo0R8qdYNOv4KnL5wPgbhzuT717NmzGTBgAAADBgxg9uzZqdus3ZCOHDnCpEmTGDp0aLbny+yJdk66wU2cOJGQkBCaN29OSEgIVatWxcsrf0dtSM7Jmdm7ZuNfwp8v7/ySkStHSiuaO7PmlrbfQUAf072x0y+m7ORvkIfxzc7ILUlJSYSHh9OxY0e2bdtG+/bteeWVV0hJSeHFF1/k448/vuEchw8fZt++fYSHh3Pq1CmWL1/OqlWrcvpxbWZrC9ok4F+gEhCXrnwRcIuN5+gI9FFKhQFzgO5KqZ+v30lr/Y3WupXWulWFChVsPLVFWUBl8spJG18B54oJct+FfRm+X318NZGRh3hUHWGW3zHa7XuZxN1jIFGm8xUZTCJvecktc5Kr/A5HxkcyZeMU3u78Nk+3eprVx1entqIdvXzUdVu+k+LgwGewrCv81Qa2vwaxp5wdlX0kXzXvvlXSyrxLgHfJjNtzKCIiguXLl/Pkk09Ss2ZNJkyYwNy5czP9v9inT59Mb1pGjBhBcHAwwcHBAAQEBHDy5EnA3CxduXKFsmVt/8WoUqUKv//+O9u3b2fMmDEAlCpVKhefLkcm4eo5xwFu+HfPIs/d3eFuRnYdyf0N7+da8jVpRctM3DnYMQL+bgv/doJ9H0PSjb+nxyOPc/Va7n5/7SLJMhN4sappZUUrgvKElGugc1dBc1ZuKVeuHMWKFeO+++4D4IEHHmDbtm1ER0eze/duunXrRs2aNdmwYQN9+vRhy5YtzJ8/n3bt2uHn54efnx+33347GzZsyNXntoWtFbQOwEStdfJ15SeAKpnsfwOt9Zta6wCtdU1gALBca/2wzZHa4jKgM3ldtutV3JbWms4zOjN71+zsd3aQ1cdX0+jLRmw5nTZLzlchb7Kycgyeez/EL3o3rYsk4r3zbfi3I1yLdF6wwtXkKS+5Y07afmY7tafUdolZWa2tZ3XL1aV4keK82uFVRq8aTXxSPF1mdOGDVR84O8QbJcXC8tvMGK3zq8w4in0TzBitK/uyP97VVehk3vd8ZG7ytDaD+uPPQbFqUCx3E4XMmzePQYMGcfz4ccLCwjh58iS1atVizZo1N+y7Zs0a6tSpc0P5mDFjCA0NTR3w36dPn9TB/vPmzaN79+45akG7ePEiKSmml+BHH33EE088kYtPlmOun3Mc4OH5DzN2zdi0gkzy3E+hP1E6tjTdanbDQ3nwXtf3pBXtejFH4a8WsOdDiNgEF9bC9lfg3y5mQg6L5JRkev7ck9eXve68WCt2Nu+7RkPyNUhJhj0fmMlCyrYCT5+bH58FZ+UWpRR33303K1euBOC///6jUaNGlCpViosXLxIWFkZYWBjt2rVj0aJFtGrViurVqxMSEkJSUhKJiYmEhIQ4v4ujhXcmZdWBK3aKReSzxQcXc+jSId5d+a7LTLc9KmQUnat3ZlTIKMBU2Ponbccv6RLJZVoS33k+ext8wNEkTzPIfe/YbM4oCplClZdGhYwiNjGWzzZ+5tQ4IuMjmbxxMi+1e4nYxFhiE2MZFDSIlWErGR0ymoCSAXy15SsiYvN/TFCOHPwCLq6DYgFmjFb3ZVCxGyRcgK0vODu6vGvwkmktO70YfveHBQGmMgrQ5B3w8MzVaWfPnp36pNmqb9++zJo1C0gbJxIUFMRbb73FtGnZz38xePBgIiIiCAwM5JNPPmHs2LTcbn0SDmZa64CAAGJjYwkICEid4W3lypXUr1+fevXqce7cOUaMGJGrz5YLhSrnXG/nuZ38c+QfJq6bSGR8ZKb7JKUk8f6q9wGIS4ojNjGWXoG9iE2MlVa09La9AnGnoXx7M6ar0zzwq20m99mX1sVuzu45FPcuzqxdswiPctJyEo3eAg9vOPodzK8MC6qYiiVA0/dyfVpn5pZx48YxcuRImjVrxk8//ZRpt8b0+vXrR506dWjatClBQUEEBQVx99135+DT5oyy5WmGUmoOcFVrPVgpFQ00AyKAhcBRrfXg/AiuVatWOv36A9kHinl6Y2t5IaK1ptW3rRjReQSTN05mcPPBDApy/MxrKTqFjeEbaV+tPauPr+bRBY+y85mdNPi8AQsGLGDx/vm8eeZDiiqod6Io4cnmGUIHnxSW+SdA8ZpwzzGHxy1yTym1VWvdKh/O6/C85MyctP3Mdu6afRd/PvgnPX7qwZHhRyhZ1DmzdP9z5B/umXMPAIqMTyaLeBZh2aBlfL3layr5VeKD7i7UkvZXK7i0FbosgAATPwmXYL6/6abTNwKKul6f+H379tn+pPbSVtg8DCI2mu99q5gbqMDsx24URJn97HKbk9wi5+Szfr/0o0O1Duw8t5NapWvxXrf3bshney/spe20tkS/FU2xD4plOH5oy6FM6j0JgC2nt9C0YlOKehV13AdwFUlx8GsJQMO94eBrman07H+mlb9kfbhrP8kpyTT6shFf3vElfx/5m9jEWD6/w36Lg+cot5z9zzzIurLbfO9XG4LHQvUH7BZPQWCvnGPriNqXgBVKqQOADzAXCATOAf+XkwsK51h8cDHJKcnc2+BeyviUYejioTzY9EG8PBy7FN4ve37hwd8eZOczOxkVMoq3u7yNX1IkXza/hx9XvsSUB/6CXz8E5cXBVyPTms1jjsGi2mn9oIUoZHlpVMgoXu/4OsGVg+lVpxefbfyMEV0c1mqQQY/aPWhQvgHVS1Vn4YC06c2/2PQFfx35i1ZVWlGuczlafduKF9u9SLli5RwXnNamtT3uDJRqCMWrp22z5g/fdOMovEuBlx9cu2S6BbpgBS1HyraEXhvg6klIjgW/OuDgPF+AFaqcc72d53ay9uRafrzvR05Hn6bdtHY83+55SlM6w36NKjQi+s1oeAtiR8Rmeq6zMWfpPKMzH9zyAS93eNkB0efRtcsQsQW8ikO5trlujU6VEm+6B3r6QtG06d1Tc1OiyVVzds+hYvGKdK/VnaaVmtLg8wa80ekNAkoG5O36uVH5VrhjJ1wNM5OClKgDyqGrdRUqNv1ktdangWBgHPA1sAUzTWwLrbX7TjFUSGitGRkykve6voeH8qBbzW5UKVGFWbtmOTSO5JRkRoeM5va6tzN86XDOXD7MY1f/hYU16HPmS6awmqtLW0DJRmbA6Z4PTT/n5Guw2/IU3jrGwkUkpyTz5KInOR192tmhFDqFKS9tP7Odzac3M6TFEADe7vI2kzZOctpYtIUHTKVsy+ktbDtjpkSOT4rnozUf8V5X092lVpla3N/gfj7d8GmGY68lX+OxBY/lT/fHqANmsP3SIFjZGxbWhDX90yYYsuaPvR+ZJ9haw8HPTOWseM2MA+DdXfFq5im8VM7spjDknLeXv83mU5sz3TY6ZDSvdniVYt7FCCwbyF317mLyhsm5us74teO5peYtTFg3wbmTX2RHp0DoWzC/CqzoacbC/1EHzvyTt/N6l4ZSjSA5DvaON9dJTjBriwFU6GTumVaNZmTXkSilqFi8Ik+2eDLj+D9HUwr8akHJulI5y2e2TrPfBUjUWn+ntX5Wa/0/rfU0INGyzTmunzkIMp1JiOzXtSvQFh9cTHxSPLfWvpWYazFcTbzKK+1f4f1V7zt0LNqve3+ljG8Z5vaby5oTa/i6wjU8TswhBQ8u+DUmiqIUjzlg+mQD7H7fjKGY72/6PXt4Q6M3HRavLebtnceM0BnOTZiFlMvmpfTKkHlOIt3XNjTYjAoZxbOtnyVZJxNzLYaAkgF0rdHVKWPRtNaMChnF6G6jeb3j66njR6dvm04x72KcvHKS+fvmM3/ffBpWaMiUjVO4FHcp9fgfd/zITzt/4pP1n9g3sMRo0zXo0mYoWs6MLfPwhhO/wDrLPAwNXjFPwE/+bvLKgmqw7UWzrel7csMhbsotck4e7Dq3i3Frx2U6GcXOczsJOR7Cw80eJuZaDDHXYnih3QtM2TSFlDIpObr3Ohtzlu9Dv2d6n+l0rtGZqVumpm10tdm4d48xD3SS46FcO/Mg5+pxCOkDkbtzf16loOlI8/XOt9PudcJ+Bo+i0Oh15uyeQ8y1GK4kXEnNqXXK1GHatmnOG4smHMbWR2srAH/g/HXlpSzb8tjWm0vWmYOuJ2POMvjv2H8cjzxOlY8zTjKVlJLEyJUjHTJGxNp6Nrn3ZPyK+HG3f0M6sZMEPHhFdSU8rgRFPWoxVm2iZuJ5qPWoWbfnapg5QanGZm2f8m3yPVZbWZ9uTe8znZf+fonXO75O1ZIF6Am863PNvJTepXRf32w82k1cS77GhvANLDu6jDGrx2TYdiXhCiPI2M1xdMhoSvuUZnjb4bkKOTsLDyzEQ3lwV727iE+KZ9zacWw7sw1fb18aV2zMjzt/zLB/jzo9iE6IpqxvWa4lX2PM6jH8eO+PDP9rOC+1f8l+3R/DZplFU8sEw22rwdsPog7BX83h1CK4stc8se6+DLY8a8ZqJV6xjNEaBbUfs08coiBz/ZyTC19v+ZrjV45z6NIh3r/lfb7d9i0hYSF0rdk1dZ/lx5YTlxhH7cm1bzh+2eZl9KzT0+brjV87nkFBg/Av4c+7Xd6lx089eLrV0xQvUvzm93WOlpwAByw9ALosNOt/pSTDhkchbCYcmARts5+0IkvVH4D2P5lp9mNPmLLSzaDlFCjbHM/TB2hTtQ0/7fwpw2F31L2DmGsy3KPA01pn+8KseF8hk/J6QJQt58jNq2XLlvqmyGG5SBV+JVyXHltaVxhfQV+Jv5Lv15u9a7buML2DTklJ0VprHXf4B61noq/83S3jjgenaj0TrdcN0jo5Sesr+7WOOqS15ThXMmfXHN3227Y6JSVFv/TXS/q5Jc85OySXBGzR+ZAfnJGXss1JN/1B5LA8F05Hndalx5bW5ceX15FxkfY7sUVKSooOnhqsF+1flFo2ecNk3Wd2H5uO/3brt/q2H2/TWms9dNFQ/dayt+wX3IYnTe7YPzlj+ap+pvzoj2llKSlaRx/TOnKv1smJ9oshn+zdu9fZIbitzH52uc1JbpdzbBCTEKMrTaik/cb46QrjK+iYhBj93bbv9C3f35Iv1zsTfUaXGVtGn446nVrW75d+euLaieYbV7qvi9xncsf86hnLL6w35X8G2ec6yUnmWtFHHH6vI7nF/uyVc27agqaUWmStxwE/K6US0m32BJoA6/JeTRSONm7tOJ4IfoJzV8/x+abPeavzW/l2rRSdwuiQ0bQPaM93278DwP/qPu4Arl7cQsmU5LQBt9bZgYqUM2Ul6+dbXHlhbT37uOfHKKV4teOrNPqikbSiOYDkpayNXzueR4Me5XL8ZaZsnMI7Xd+x6/kXHljIscvHOHf1HNO3TQfAQ3mw5NAStp3ZRgv/Flkea209++k+8zT4rc5v0eKbFvZrRStqOceVPWllOiXt+yLprqEU+NXM+zVFoVCQc86Xm7+ka82u7Di7g7K+ZSlepDgPN3uYD1Z/cEMrmj2MXzueOmXrsOTQktSy6iWrM37deJ5p/QzFKHaTox3MOmFQ/DmIvwA+lkXDrV0bi9qp9d/DE0o1sM+5RIGRXYf7CMtLYRqeI9K9woGpgNstsljYnYo6xc87f+bVjq+ayQY25O9kA1prbqt9GwDrTq5j3cl1zI+IIEIVx58YWNUHTvwK21+DQ1+ag2o9km/x2MO8vfMoUaQEver0AqCyX2UeD36ccWvHOTmyQkHyUibORJ/hhx0/8HrH13m789tM2TSFK/H2XZqpVNFS9G3Yl/Un16f+Lm8/s51BzQZlOyPsjzt+JLBsIJ2qm4k6apSuQb+G/ew3Fq2m5Z/88Lew9SWTU1bdB1H7wKcyVL7NPtcppDw9PVPXI2rRogXr1mVfH9FaM3z4cAIDA2nWrBnbtm3LdL/BgwcTFBREs2bN6NevHzExpvvWzJkzadasGc2aNaNDhw7s2LEj9ZjJkyfTpEkTGjduzKRJk+zyGW+iQOacq9eu8vH6j+nfuD+X4i6x78I+Tlw5gbenN293fjt1fKk91S9Xn2YVm6Xmj3Un1xEZH8n9De53mfVZU/lUBP/ekJIAK3rDsZ/NhB7bLbNO1nL8UkUFUX7mlscee4xatWoRHBxMcHBw6mLWEyZMSC1r0qQJnp6eXLqUNiYhOTmZ5s2bc9ddd9nlM+aGreugvQdM1Fo7dKqdbNf/kHXPcmX40uF4e3jzcS+zKN/Dvz9MowqN8rUVLVPnV8HKO2+cOr/Z+9DkbcfGkkMdv+toxvWVSBvXF5UQRVhkGJFvROLj5ePE6FxLPq6D5vC8lKc1ifI5X73414todOoaQ48ueJTAMoF2b0XLrWZfNSMyPpLKfpVTyyLjIzkbc5Yrb1xBKTsMMtk7HkKvm+DAsxh0XWSmiHZTOVqrKJ/4+fmlVpz+/vtvPvzwQ0JCQm56zJIlS/jss89YsmQJGzdu5Pnnn2fjxo037BcVFUXJkmZNv5deeomKFSvyxhtvsG7dOho2bEiZMmVYunQpI0eOZOPGjezevZsBAwawadMmihQpQu/evfnqq6+oW7fuDee28zpo7pVzsjFh7QS2nNlC6aKl+XXvr/h4+ZCUkkTN0jVJTEkk9Gwou57ZRZOKTfLl+plytfu6mGOwrFvaGDGr6v2hw8y8T7fvZAU9tzz22GPcdddd9OvXL8tz/fHHH3z66acsX748teyTTz5hy5YtREVFsXjx4hx9Hoeug6a1tv9jFHuwzpCWWbnIlLX1bO+wvallb3d5my4zuvBsm2cdu/BtxS5w5144/DVE7gSfSlD7CajQ3nEx5NKs+2dx7uq5G8qLeReTypmDuGxeyko+5itr69me/6V173u789t0+K4Dw9sOp5RPqbxfJI8WDFjAxdiLN5SXKFLCPpUzgEavmdkbj063rIPWBOo+BcVr2Of87qAspo3nemXIOGlNHkRFRVGmTPb/cRcuXMigQYNQStGuXTsiIyM5c+YM/v7+GfazVs601sTFxaX+f+jQoUPqPu3atSM83Mxct2/fPtq1a0exYqY7XNeuXZk/fz6vvfaaXT5fVtwu59yEtfVs2aBlVCxekcEtBnM57jIP/PoAb3d5m8p+lfFUnjSq0MixgbnafZ1fLbhjBxz5Di6sAs/iUKM/VL2r8M366oa5xRazZ89m4MCBqd+Hh4fz559/MmLECD75xM6zDeeAzQukKKUeBwYC1YEi6bdprW+c1scR7PQfojD5bd9vRCVE0fjLxhnKL8ddZumhpfRv0t+xARWvBkH5P4ukvdUoXYMapQvRTZ+Lcsm8lJV8zFe/7/udKwlXaPJVxifdl+Mu8+ehP3mw6YP5d3Eb1S5Tm9plHPBPUr6NS8326nD5NAteXFwcwcHBxMfHc+bMmQxPm7Ny6tQpqlWrlvp9QEAAp06dyvQm6vHHH2fJkiU0atSIjz/++Ibt06dP5/bbbwegSZMmjBgxgoiICHx9fVmyZAmtWtm9kT5TbpVzbuLvI39z/up5un6fcYxZbGIsByMO0qd+H+cE5or3dUVKQ8OXzKswc9PcMmLECEaPHs2tt97K2LFjKVq0aOq22NhY/vrrLz7//PPUshdeeIHx48cTHR2dtw+WRzZV0JRSrwJvYhZm7AJ8CQRavp6Yb9EJuxvWehgPNX0o021lfZ210IgQOSd5Kc0zrZ9hQJMBmW6T32thD76+vqnjN9avX8+gQYPYvXv3TVs/MxtCkdX+M2bMIDk5meeee465c+fy+OOPp25bsWIF06dPZ82aNQA0bNiQ119/nR49euDn50dQUBBeXvm/IHdByjn3NbiPC69mvrZ2aZ/Sjg1GFGr5mVs++ugjKleuzLVr1xg6dCjjxo3j3XffTd3+xx9/0LFjR8qWNX8nFy9eTMWKFWnZsiUrV67M2wfLI1vbZ4cAQ7XWbwKJwOda6z7Ax4A0I7gRTw9PyhUrl+nLbt2MhHAMyUsWHspDfq+Fw7Rv356LFy9y4ULGG/wvvvgideD96dOnCQgI4OTJk6nbw8PDqVKlyvWnS+Xp6Un//v357bffUst27tzJk08+ycKFCylXLm3WvMGDB7Nt2zZWrVpF2bJlMx1/lg8KTM5RSmWZMzzdfFyVcF/2zi3+/v4opShatCiPP/44mzZtyrB9zpw5Gbo3rl27lkWLFlGzZk0GDBjA8uXLefhh58z/Y2sFLQCwfqo4wDpQaTbQ195Bua2kq3DmHzj9NyQ6t2lUiEKg8OWla1fg9FI4uwyS450djSik9u/fT3JycoYKE8CwYcMIDQ0lNDSUKlWq0KdPH3788Ue01mzYsIFSpUrd0AVJa83hw4dTv/7jjz9o0MBMOX7ixAnuv/9+fvrpJ+rVq5fhuPPnz6fu8/vvv2e4ycpHhS/nFFZxZ+HUYjOZmavNLlmA2TO3AJw5cwYwuWXBggU0aZI2DODKlSuEhIRwzz33pJZ99NFHhIeHExYWxpw5c+jevTs///xzPn3am7O1T8BZoDxwAjgOtAdCMU37Ml8iwOFvzDTxiZZprb1KmNkIGzzv3LhEgfdD6A8k62SeaP6Es0NxtMKTl7SGvWNh9weQHGvKipaDFp+6/JIUwnZvLnuTu+rdRcfqHZ0dyg2s40TA3Oz88MMPeHrevKXljjvuYMmSJQQGBlKsWDFmzJiRYdu0adOoXLkyjz76KFFRUWitCQoK4quvvgJg9OjRRERE8L///Q8ALy8vrDMa9u3bl4iICLy9vfniiy9smljADgpPzilk3l3xLt1rdadb9Y6w9UUzeZm2VMyKVYd237n1TLCuLL9yS5UqVXjooYe4cOECWmuCg4OZOnVq6n7z58+nZ8+eFC9ePF8+V17ZOs3+NCBcaz1SKfU08CmwAWgB/KK1HpIfweXn9LJ2Fb4QVt1rvi7THJQXXNpsvu8wE2o6f4C+MFN6bz61mR51ejg7FLuJuRZDnSl10FpzZPgRShQt4eyQbpCP0+w7PC85LScd+ho2P22+LtcOkq9C5C7zffdlBeLG4WzMWQ5GHKRLjS7ODsUpdp/fTYuvW9C6amvWPL4mQ9fUHE2F7YCZ1tyJnafZLzw5pxA5cPEAQVODaFKxCZtbdkEd+NTM0Fihi5leP+YoePrA7TugZFpLbkHIWZJb7M+h0+wDQ7F0h9RaT1VKXQY6Ar9hBsu6Hkf+R9o73rwHjYHGlrXE9k+CbS+abVJBcwkfrPqALzZ/wbHnj2VYi8mdfbn5S26peQueHp58vulz3uz8prNDciT3y0u5oTXsGw9DI+BqJhN+lIiG/Ftn3mFe+/c1lhxawrHnj7nkg4b8NjpkNO/f8j4zQmew7Oiy3D9Ikhul/FQ4ck5hUhbqX65PPOm7jH8CpRPhsjekJMO6gWbh+4OfQ6spqXsVupwlucWhsh2DppTyBsYCVa1lWuu5WuvhWuvPtdaJ+RlgrlmnA73+lVmlLc/XsqxgXvcZczOVdBUCnzJlkTvML7hwqnMx5/hu+3f0qd+H8WvHOzscu4i5FsPH6z/mnS7v8E6Xd/h0w6dEJxSOsY9um5dyIzHKPMG9WhaSk9NyWcxxmKkg2v1vDA5GHGTp4aV0qNaBLzZ/4exwHG73+d2sOr6KZ9s8y7td32VkyMhMZykTzlOock5hchkqjK9AVHwUKzZ/BDMVenETiPQ22z08oY6lYdR6r4fkLJH/sq2gWZLO/8jzSgcFWNEK5n37m7CgGvziB79bWmiKlHX7leYLggnrJvBws4eZ1GsS34d+z9mYs84OKYPYxFhmbJ+R/Y7pWFvPGldsTIPyDehRpwefb/o8+wMLgEKVl7yKgaev+Tr6oHk/txJW9E7bZ9W9cGW/oyOzmw9WfcDzbZ9n3G3j+GT9Jy75oEFrzTdbvyEpHyYMGB0ymlc6vELxIsXp37g/EbERLDu6zO7XEblXqHJOATZ/33zORJ/JUPZey0cpuXko3Q5Zpl+/sjfjQZE7zLv1Xg+Ts4a3Gc74HuML1cNR4Ti2zuL4N9A9LxdSSvkopTYppXYopfYopUbl5Xwupdaj5v3I1xB3yvRdTrL0OfIuaVrVCjudAlEHzE2kTnHopa2tZ693fB3/Ev4MChrkcq1oX23+iicWPcHaE2tt2j9965mVQ1rRkmLh8k6IPZV/17BdnvKS2+QkD2+oaVm7MOQu2PI8/NcdotJVyMIXwr8dTUubm7E+iX6uzXM0LBfIozVbM3PdaJfLm4sOLOKpxU8xa9csu57X2nr2TKtnALMUSmataNKilgWtzYymSXE3/J/Jh5+Z3Au5sTPRZ3jw9wd577+3IHI3R0+YhyD/uzIbTsxF6SQ0oKzzvWx5Fna+BzstFTfLvZ41Zw1vO5wG5RtwW+3b3LoVTWsNOtn8fU++5uxw3Jo9c46tY9D+Az5USjUDtgJXrwvodxvOkQB011rHWLoKrFFKLdVab8hRxK6oxgDY80Ha99YKiPKEq2FwbnmBGMSfa6f+NOPxog+Z74vXguYToLpjZiW2tp5VLWl6prze8XUaf9mY1zq+5hJj0a5eu8qEdRN4rs1zjAoZxT+P/JPtMb/s+YXLcZd58PeM4xuvJFxhzu45DGlp57HqKcmwexQcmGy63AFUuhXaTIUSgfa9lu3ympfcJycFjzXvMUfhYNoYCCr3SHs/+y/sHQdt3GsojLX1rNSpebDzXSYknoYzS0he8jeerb+Eip2cHSJaa0aGjOT5ts/z/qr3ebDpg3h52Gdh5C83f0l8UjwdvuuQWpacksyeC3sIPRtKc//m+Pj4EBERQblysq5dBtciITY8bckJz6LgGwBFy6C1JiIiAh8fH3teUe6F3Ni4teOYWj+YXtE/wJLvqQ2AxiPuNDuSivFqXHWKk8gPxY+Y9RMOpqt0BT4NAWY6dmvrWSmfUoB5ONr1+64Maz3M7cai+fgUJeL0Icr5xKCw3Lt6l4DiNczEKMJm9s45tv6FsfabGp5ZTEC2ffi0qVbGWL71trwKxiPBi5ZWj3Jtwa8OoKHKHaZZfN9EszZaYa2gnV8Fq+4xT2d8KgIecPUYrHkAui2BKr2zPUVeXIy9yJebv+Sx4Mf4YFVaJbqSXyUmrpvIxJ4T8/X6tpi6ZSqda3RmYs+J1PusHmtPrM12mu0Hmz5IS/+WmW6rV65epuV5suMN838ZwC/QtBSf+w+WdYM7d0ERh0xxfb085SW3yklFLWvCtPwMtj4HeECHn6B6f1MePA7++hfO/O20EHPjyKUjzNw1k5nBvSB8KQBRniVJSYyh9JVdsKIn9NoEpZtkc6b8tejAIgA+6fUJ289uZ9auWQwKGmSXc3/Q/QOeavnUDeUeyoPGFRsDEBAQQHh4+A2LtxZqyfEQf858rTwAZf7OcMr8rfH0xcfHh4CAAHteVe6F3NSZ6DNw+FseLRsLnhChilPGyyu1G1mZJq8zoYqpgJ28doXG1gOr/x8EDoVK3UGp1Jz1UruXMtxTFPUsyldbvuK1jq859HPlVUDkj4RfLcuFooHgUcTyO3QR1Anw9TcNDcJm9sw5NlXQtNa2doW8KaWUJ+apUyDwhdZ6Yyb7DMXMlET16tVzf7EyZN5TPDf3kRGbzew9V/ZB8WpQZyhU6ZW23fof2KcidJyZVr7VMjWunZ60uqXdY8wvfL1nzZpNKNjxlpmVbvf7+V5B8/bw5rWOr5GUkkR8UtosTX0b9qVN1Tb5em1bWFvP/n3kX4p4FmFE5xE2taL5ePkQVDnIMUEmRMCBzwCVVqlOuAQresGlLXDkO2j4smNiScceecmhOel6UQdMi+SlrVC0PNQaBNUfsNxsZqIM0OBZ4Nkby60tCMq9ck3xIsUZ0ektelwwT6qXlLiNdcXa4Eky/0vaSKWIlbBvArT/wWkxWlvP3uv6Hh7Kg5FdRzJ08VC7taKV9S1LWd9MZudMx9vbm1q1auX5WgXK8l5w9h+oOwxaTAIU7BxhWpHLd4CetnUXzwlH3QvlW85xVQkRprXq7D8mhwXcYypFXvZbn2r8mo94r7wnpMDVoHHU+3MsW55YQ63il+EhTXUgw0+6uGVGuebjTWuStbhIcUZ0HkGKTslwTzEoaFCWD01d1rXLeB8cR63keOi6GKreBtcum/HNEZtMz42Grzs7ykLLpnXQ7H5RpUoD84HntNa7s9rPJdb/OPYzbHj0xnFTTd6FZpau47GnYWENUxFpOdncZJ1bARsHQ3Ic9NwI5Z1fGXCKX/zMrJb3nQXfSqYsMQZ+LQEoGJBYqCdR+Xjdx2w4tYFfH/gVgGvJ16j3WT1m3j/TdRarPfOPqYxdf9Nz7CdYPwgC7oUu87M8PL/WQbMnh+eks8sh5M60ipVVrUeh3Qy4WTe2/2413aar3Q9BY814101PmYpeg5egxcd5j8+R4s7CfH/wLgV9I9LyweUdsDQY/GpDnyNOC2/h/oWMDBnJtqHbUEqhtabbD90Y3Hyw3VrRRC5k9rcl6aopBxiQlOXfFlfJSbbkHZe4D8pPseHwbye4ejxjeZnmcOsKKFIqz5c4E32G3l83YEeVKDPRx/1neXflSE5FnWK6v7dZlNqjiLmerz/sGgnHfoQywdB7283zsTs7uxyW3wrl2kCvdM8IwmbDugehyl3Q7Q/nxVeA5Oc6aHaltY5USq0EegNZ3gzlmr3WQLt2xSwOq1PMU7oa/eF8iPnl3T3afF+qERSrYipsu96FrcPNy6r2Y1CudV4+jXvzsvwRjT2Z9kc0zjLBhFfxrFsLCoHE5ETGrxtPu4B2vPT3S6nlFYpX4MM1H/Lng386Mbp0vCw3PHGnzFg0601P7EnLdvfqc5+ZfMtJWeUivxbwdbx5mFP3fxC523QjPfaDyStVbs/6nM3Hw7KucPJ387IqXhMaulf3GsDMUokyeeLaJfCxzJTmIv+/xqweQ4kiJXj5n7RW4iKeRRizeoxU0Jwps78tseGWbe7xtyXf74XcwfbXTeXsqUiIyaQyZoe1az9Z/wneRUoDUSQmXGLkX89y+locP+34ifF1JlAOIOWamWjJyqOI6fVTUCtnkO5v+2lISUrr7WXNvd7u/7fdnTmsgqaUqgAkWhKSL3AbMC5fLmZdA+2GIHJ4ntNLzB+ACp2htaXrecXOJpkcmQbH56a1ojV9B0rUNV2Wog9AsWpmLbS6TxfsX/Ds1BhgfibrB0HQh6Y76E7LzIM1+hfqn42H8mBUt1HEJsZmKB/YZCC1y9R2UlSZKNfW3PxfDYN1D0G9/0HkLtjzkdleY4Azo8s1h+SkzHLRhfVQsb3pNtNhtqnwVuoGiVdg59vm6eXNKmhlW5pW+T1j4OwycyNR7T5oPCLtRtWdeJc0Y3ZP/wmr74fGb5tuNqGWyqaT/3+90O6FG5blCCgZkG23RJHPUv+2PGL52+KV7m/LAJf92+LQeyFXl5IIJ+eZr2NKpeXKcyHwXzczodi9eZ+Z9u76d+Nfwp/jZ6ZSI/4QT8f9w8bSt9K//UDKHJxgdqp0C0QfgeSrUKELNH4Lyjm9kTV/lWtl5k2IOQJrB5qhKFF7YbdlbJ2b/m0vKBzZguYP/GDpe+0B/KK1XuzA6+dckmW68mLVMpYXs/RUTrxuOvOaA8zLmezVemgvTd4xXeSi9sHq+9LK/epAs/edEJDr8PTw5OlWTzs7jOx5eELbaWaK9xNzzcuq5iM3r0y4NufkJGte8a2asQuWdZxDUvSNx1yvdGPoaN/p3p2qxadmPOOFNbAy3bjU8u2h/nO2nSOfct+DTR/MfifheE3eMTOXXtlrKvZWrv+3xf3uhfJLyjXz8vDOWJ6TXGiDLjW60KVGF7jSG5Z1pVr8EaqdTddtumIXM766sM1aqDzM3/aVd5iKsrWyDFDjQah6V+7O62r3oW7KYRU0rfVOoLmjrmcX5S3THp9aaMZDlAkyXSiOTjflFTpkfayz2Kv10F6KloNeG+DQV3DqD7NOTZXbTbeuovIE2m1UvhV6b7dMarHFMqnFo1Dj/1z2SXV2nJaTyrQw7xfXm4cX/j1Ni9EBy/T5FVxk7KEjlawLt283k9GcW25ulKr1hTpPgpevbedwtdwn8lfRctBzPRyaCqcWuc3fFre8F8ovXsWhdFDaQtA6xYzl3zPGfG/vXFiqEdweanLt+RDw9DXdzOsMNks0FEaVully72SI2GJ+d2oNsrRC57KbsORiu3DKJCG2yvXgWEXW/zly+nFX900b5+EXaLp56SQo3Qx6b7nxyY+z2fOzC2EHrjIg3x5ynJNu9vs40/LXqkQ9y1pOsaZV7c5d5sYh7owZ0O7tZ4fICwHJfcJG7pSTCvwkISfnmxbQhzT8VhV0IiRcMPdWt62GCm3l99fdSC6+QW5yTpbVY6VUilIq2ZZX3kN3YY1HmJsmgJjDlspZMHT/1/UqZ0IUcAUqLzUeYSbAiD5oKmeVboFuf5ulKX6rCItqw2/lYcMTZkFeIYTDFaic42rOr4Y9H6Z9H3/aVM5KNoAuf0D5ts6LTQgnu1kXx/8jra5bCRiNmQ52vaWsPXAv8F5+BZdr9loDLfa0WQ8i4QJ4FDWzjV27DJGhcGKemSwhL07/ZaZ3vXoCStYzAzQLY/cmIWznXnnpZrko6ANo/CZEH4Ii5cwai2sfhOOzzT6+VUwr2tEZZs2021aZ7qQnfoWj30P8eSjbHOo/D6WbOu4zCVG4uFfOcReXtsLyHpCSYGYTtKxHdoPs7tt0iplY6diPkHDRTKLU4AXTnVEIN2ZTF0el1CLgD631t9eVDwHu1VrfmR/BOb1pP/QNs+hlxa7Q+XcoUtr0d98yDHwqwT0nwLNI7s69630zLf/12nwDgUNyH7MzmpZTEuHKHlDeUKqhW0xvLBwnv7oTOSMv5WtOitwDS5qY7o3d/4MK7eHKfvjvFog/a54oh8+Ho99lPM6jiMlPVfMlDaeJPWUqjCXqQJGcPu1yAOlWI2yU25xU4HKOM6263+Szmo9Am6/NFO+hb8L+j6FcO+i1PvtzaG1miA77OWO5R1Ho+gf498if2FOSLfc8Cko2KtRruWZKcvEN7NrF8TrdgRWZlK8AuuXkgm7l/Crz3vgtM3BSeUDdZ8wMQ/HnTNek3Ig6aCpnysPMNtVjHTSwrLGzdTgkROQ+ZusT++tf+XU/dfR7s0j30ubm5nJxA9MyKET+K1h56YIl31S731TOAEo1MBNlAIT9aCpnnsWg5WfQY40ZzJ1yDTYNMQ9K8kPsKVhxBywIgL9bw++VzcLYSXH5c73ccnTuE4VRwco5zmTNd81Gm4mAPLzN18oDIjZAckL25zi9xFTOvPyg9VdmzFqNgaZVbuOTpiJlb8d/Md3PlwbBkmbwR2DG9SiF5GI7sbWCdhHol0l5P+CC/cJxMZ6W2cPiz6eVpSSYBazTb8+pE7+Y91qDoMnb5masxUSofBskx0P4otzHfAnzhOL6V35MbXp8Lmx43DxVL14DfCqb7lohd8PFDflwQSEyKFh5KTXfXBd6giX/RB827w1fhfqW7tDtZphJRuLOmPEc9pYcD8tvgzNLzcyKpZuaiuDhb2DDY/a/Xl44MveJwqpg5Rxnyuz+KiHCdFn08DZrpmbnuGXJl8ZvmTVnK3aC9j+ZdTtjT0DERvvGfHoprO1vzl0swMxPcDUMVveDs//Z91ruTHKxXdg6zf67wAyl1C2k9btuh1lgcXB+BOYSqvczUz6Hvm5uTopVh33jIDESygSDXy4XE06KMe/WyUesigVk3O7qrIsZBn0Ijd4w0+Nu/h8c+Rb2joUuC5wanijwClZeqnKX6Zpz9h/Y8Y4l/6yAI5YujT6WRaiLpcsbysN8H30wf/LGiXkQtR9K1DVPp30rweVQ+KeDedB0ZZRp5ROicChYOceZqvWDA5Ng42Bo8bG5x9rxltkWcJ/p8pgda86z3juB6W7oW8VUnK5fqzavrPc8jd40Y4gBtr8K+z8xSwNUvtW+1xOFmk0taFrrH4EOmKdHfYB7gAigo9b6h/wLLx+UJfOm18yWTan9hFnAMO40rHkA/mlrmrK9ikOrL3O//lOFTub96AyIOWa+vrzD3Ayl3+7KEqPhym4z/qXBy+Zn4eEFjd8w2y/a0H9ciDwoUHkJwKc8tPjEfN3xRSgbBA1fgAcTzeD57kthaAQc/CztqfPZZWY9Hw9vKJcPM55dXGfe6wwxlTMwD6eqWIbayO+5KEQKXM5xpsYjTOv/ld2wohcs6woX1oKvPwSPte0c1nulA5PThoacXmrylkdRKJfFkJ+c3AdaaZ2W7xq/ZR6OKQ/zNcCFdbbFLISNbF6oWmu9EXgoH2NxjJwsoOdZFG752yyyfHyuWdW+fAdTIcnLU2P/26FcG4jYBH/UNS1x0YfMtqp9zMxsrs6jqKmcpVwzFVi/mqY8Jsy8e5V0VmSiECkwecmq3v+gZH24Whb+aAjFqkHgULNoc1IMFCkLkbtgQXXz1DjmiDmu7rNpFSh78rb8Hl8NSyvTOu37IqXsf00hXFiByznO4lPeLDR+YAqcWmh64Pj3gvovQrEqtp2jzhNw4FMzI+SCANNyFnPUbKs/3CxmnpncLqTsXQISo0z+K93ElFkfsksuFHaWZQVNKXWzZwkZaK0Lbs9STx9o8KJ52YuHJ3RbClueNd2Eog+Z69R6NO0JuqvzLGJuGo/PNotMNnnXrOVk7aJQc6Bz4xMFUqHIS9ZuMnfty1juXcK8+99uxoTFHDEVqHrPQtNR+RNLjYFmJtvDX5sxphU6QthMuLQFvEuDf+/8ua4QLqJQ5BxnKVoWmo00r9woUhpuC4FNz5iu4TFHwbsU1H8BmrxjvzjB9BKq8SAcnmrGoTUdZcbL7bRcp4bc8wj7ynKafaVUCtlPiKkArbXOlzlG82V6WVeb/jMhwgzwL1bN/Z7AxIbDv50zPl0HKNsabv0v7YZSFGr2nGbf2XnJYVNeZ5en4s6aNX/8apv1GfPTjndgzwfXxeEFHedA9b75e20h8kFOclKhyTnuLu6MuZ/yq2NmhbyZ3N4Hxl+AZV3MuNz0SjUxFcWiNtflRSGTm/ugm3VxvCWP8QhbFC2XdTO8qysWAL23mi6gZ/8x66AF3At1BmefIIXIHclLAL6VzcsRgt6Hip3h8LemO3OpxqbVrkwzx1xfCOeSnOMOfP3NKz/5VIBeG80stqf+NK1qVe82S6HIA2lhZ1lW0LTWIY4MRLipomWhyQjzEiKfSV5yEv+e5iVEISM5R2TgXRIavmJeQuQjmycJUUoVxQyMbYRpBN4DzNZa27CaoAuxLqCXWbkQwq0UmLx0PclTQrikAptzChPJr8IN2FRBU0o1Av4CSgK7LMVDgFFKqd5a631ZHuxqZAivEAVCgcpL15M8JYTLKdA5pzCR/CrcgE3roAGTge1Ada11Z611Z6A6sAOYlE+xCSHEzUheEkI4kuQcIYRD2NrFsSPQWmsdZS3QWkcppUYAG/IlMiGEuDnJS0IIR5KcI4RwCFtb0OKB0pmUl7Jsy5ZSqppSaoVSap9Sao9S6nkbry2EEJnJU16SnCSEyCG5FxJCOIStFbQ/gG+VUh2VUp6WVyfga2CRjedIAl7WWjcE2gHDLP25hRAiN/KalyQnCSFyQu6FhBAOYWsF7XngELAa85QoHggBDgIv2HICrfUZrfU2y9fRwD6gag7jtV1ZzCw9179kHUEhCoo85SWH5yRbSN4SwpW5372QcA+S+8V1shyDppSqDpzURiRwj1IqEGiI+W+zV2t9ODcXVUrVBJoDG3NzvE0uk/VK8UIIt5RfeckhOckWkreEcClufy8k3IPkfnGdm00ScgzwB84rpZYD91uSUK4SkZVSyg/4DXgh/UDbdNuHAkMBqlevnpdLCSEKHrvnJclJQoibcPi9kOQcIcTNujhGA+UtX3cDvPN6MaWUNyYhzdRa/57ZPlrrb7TWrbTWrSpUqJDXS4qsaA1JVyEl2dmRCJETds1LkpNcXPI1SLZp7gUh8ovD74Uk59hRUiykJDk7CiFy7GYtaMuA5Uop68KL85VS1zLbUWvdPbsLKaUUMB3Yp7X+JMeRFlZlMU3f1ytD7hZb1BoOfQn7Poarx8C7JNR+HJq9D94l8harEPnPbnlJclI+sFe+ijoAoW/AqT9AJ0OFjiZHVbrFPnEKYTu5F3JHYXNgzwdwZQ94+kKNARA8Fnwq2v9a9r5PE4KbV9AeAZ4AAoGuwAEgNg/X6mg55y6lVKil7C2t9ZI8nLPgs3e/5J3vwJ4x5msPb0iMggOT4dIWuHUleNi6NJ4QTmHPvCQ5yd7ska9iwuDfjpAQYTnWEy6sheU94Ja/oPJteY9TCNvJvZC7OfQ1bH7afO3hDclxcHQGXFwHvTbb/2G0jB8T+SDLu3GtdRzwBYBSKhgzLWxkbi+ktV6DI/+7lsniamVsPD7mKJxfDV7FwL+XaWmCmz8p4SbbXOEpStw52DceUND+J6g5EC5vh5C7zQ1Q+EKo3tfZUQqRJXvmJYfnJFvkJm+VSYZIz8yPySzvuPrT3r1jTeWs0q3Q4Wfw8oPQ103Lf+ib0FsqaMJx3P5eqLBJjoedb5uvm0+A+s9DzDFYfR9c2QtHpkGDF/Pv+tfnV+u/dBkNu/6E+AtQtgWUCcp4XF7vWXMTW/pruELuFxnYNM2+1vqWvCQkp7iEeaJx/Su7/4QpibDhCVhUBzY8Bmv+D+ZXhaM/mO3WJyXXvy5ns80VnA8xn6/ybVDrIVAeULYl1Btutp/9x7nxCZEDbpmXspOTvJWcAOseNpWzmcq8fikFx+bcPO+4ep46Y8lDzceDb2Xw9oPmE8HTx7T0X3OVQEVhUyBzTkFzORQSLkLJ+tDgZdOCVrIeNB5htp/J5/uc9PkVy/uZ5XBZmYfhG5+ApcGwvFfGXJbbe9bcxuaKuV9kYOs6aIXHzndMU7hHEQi4D8p3gKQY2PC4aWVyZ8rylP36QffW71UmT+GFEK5p+2sQNtN8Xa0vlGtruiyvfwgitjg3trzILE+lXAOdYvlG/mwJIbKQmj8SyNDvMPU+x8HDOGLDYVUf83WpxmYsnHdJ80B8/WOOjUW4FflLl15SHBz6ynzd/V/o8jv0XAsNXgK0GavlzirfCp7F4MJq2PMRxJ2Bk/PhwCSzPeBeZ0YnhLBVYjQc+Tbt+87zoNcGqPuMqcgc/Mx5seVVwD3mfctzpqIZdQg2DjaVtEq3QJFSzo1PCOG6yjSHYgFwNQy2vQRXT8LZ/2DXSLPdml8c5fA3ZsZsgDt2QsfZ5t3TF04tgug8rdYgCjCpoKUXd8o8gS5WDSp2SSuv+bB5v7LH8TFZ+yVf/8pNv+Qipc0sRgA73oL5VWD1/ZB4xVTOKvewS8hCiHx2NcwMfC9RL2O5M3MV2CdfNXoNiteEy9vg79awuB6c/A28ikPwePvHLIQoODy8oMUkM4TjwGRYWB2W3waxJ6F8e6j1iP2vmT7vQca8d2Vv2n7KcstdvAZU6Gy+vrIPITIjFbT0ipY3zd9xp8ygUqsLa8y7bxXHx2Tvfsn1n4MuC0wFtEgZKNXIjO/o9AsoB45bLkvmN3JlHReCEG7LpxKgzFIZ6TkzV4F98pVPRei5Huo9B75VoWgF0y2o53oo1yofgs4nkuOEcI7qfaH7cvC/HYqUBb860ORduOUf8Cxq/+ulz3uQMe9llouTrpoJ2gCKOSlXFzQFMN/KnOrpFSkN1R+A47Phv1sg8GmIP5fW7bHOk9nPtJPfs/DYQ8A9jm/mv56Tp6VNTEwkPDyc+HhZBNdefHx8CAgIwNs7z+u4iuz4VDS/w+ELwC8SVGnLhtcsL7LOO46YLSyvfCtDqynm5a5k6m0hnKdSV/NytBvy6xTzKn4J1r8IZYLh2I+QcMF0xyzTwomxpSt3dwUw3+apgqaUWgbU0lrXsVM8ztdyCkTtMzMB7Xgzrbzes1D9/wrXVKRXj0P4IjPzo38PKN3U2RHZTXh4OCVKlKBmzZooR7YcFlBaayIiIggPD6dWrVpOjaVA5qXMtP4Kog/B19f9dW34KgSPy7pFPD9zWFKcWa4j9oTpfln1TjOLmhAFWKHJOeLmrl2BLfMh/rypfFW+1dLV8jPY+jwc06ZyBqZ3QIdZju25VJjuXwuAvLagbQZO2iMQl+FTHnpuNE+mz4eYddCqPQDl2zg7MsfRGna9Zxa0ts6cth2o+RC0m1Egbrji4+OlcmZHSinKlSvHhQsXnB0KFMS8lBnfytB7qxmfdWENeJWAGv3NGjvOcHEDrLrX9DqwKl4Luv0JpRo6JyYhHKNw5ByRtfBFZtmTpOi0sjLNoetiM7TEvxeE/WxZB6051HjQLCEiRBbyVEHTWr+Z/V5uyLMI1Pg/83I1jlho8Phc2P2+efJT/f/M4Pzjc8yU3n51oNkoO13IuaRyZl+u8vMssHkpM55FoeaD5uUMGfJRO+Cs+bLkVfi5uWnhC7kb7tpvBu8LUQAVqpwjbhRzDNY8YGaardAJ+v0FUcWv26kelBktrVjCZjmeJEQp5aeUkmq/szhiocFDn5v3FpOh01xo9x10XWTZ9iWkJNvxYgWU1mZG0NhTEHvadP0S+UbykpNY89Ghb81C2X+1g+Qkc3Ny+w7zQCfmCJz5y9mRui6t4fwq2PEO7BoFl7Y7OyJhA8k5ItWRaaZyVq0f3LbK5L+4CzC3lMmL6wfDvk9lQWiRIzZX0JRSLyilTgBXgCtKqZNKqReVqzw2F/YTfci8B/RJK6tkWUMt4SIkReX9GvZcPsDVpCRD9EGIOghxZxgz5gMaN2lMsyYNCQ4OZuPGjSxevJjmzZsTFBREo0aN+PrrrwFYsGABe/fuzeYCwkrykouw5owqd6a1lHn5gn9Py/ZCuNaPLTkuOR5C+sCyrrDnA7NW018tYNNT6RbmFq5Eco64Qfp7Jut/g2uXQSear49+Z9ZkAwib4/j4CoMCeE9pU58TpdR4YCgwAVhvKW4PvAv4kzptmCgQitcyg1zP/A2BQ0zZhbWQHGum5vcqmfdrFORm/rhws5CwhxfrQ4+z+N8NbFsxk6JFvLkYX5KrSUW577772LRpEwEBASQkJBAWFgaYCtpdd91Fo0aNnPsZ3IDkJRfiZ5kY5uy/0GQE4AHJ1+DcclNevKazInMeW3LcrtFwejF4l4Y6g83adke/M4vblmkBdZ/K7yhFDkjOEZkqbsl/Z/5OW2dt9f3m9xnMjOCxliGKGwaZOQ38ajs+zoKsAN5T2tqC9iTwpNZ6jNZ6ueU1BhgCDM6/8IRT1H3GvG8ZBhsGw5bnIeROUxY4FDw8nRebq9MpkBBhvi5RjzOXkylfqSpFy5jJvcqX0JQoUYKkpCTKlSsHQNGiRalfvz7r1q1j0aJFvPrqqwQHB3PkyBFatEib8OHQoUO0bNkSgJo1a/L666/Tpk0b2rRpw+HDpoXiwoUL9O3bl9atW9O6dWvWrl3rwA/vcJKXXEWNgeBdEi6shn8tC7D+3QaiDkCxamY2R5GRToEj35ivuy6CFhOh9RfQxlJ2eKrzYhNZkZwjblTnSbOGbthMWHGHKbuyx7yXbQ1tvoJui833KYlwZIZz4hRuJSdj0HZmUSaLXRc0tQaZJz4pieZp7sEpZjyVf29oWjAmCMk3KUnmxsvDC7yK0bNnT06ePEm9Zh3536tjCVm9lrJly9KnTx9q1KjBwIEDmTlzJikpKXTo0IE+ffowYcIEQkNDqVOnDqVKlSI0NBSAGTNm8Nhjj6VeqmTJkmzatIlnn32WF154AYDnn3+eF198kc2bN/Pbb7/x5JNPOv5n4FiSl1xBkdLQZYFpCbq4zpRF7gBff+iyMG3m18s7YMMTsLQ5LO8JYbMKb1e+pFjzMMejiJlYwKrybeb96gnnxCWyIzlHZFSyLrT/ETyKwpmlaeVeftD51xv3v3rccbElRsGej+Dv9vBXGzPWNd4lZlsW2bB1Wq0fgWHA89eVPwP8ZNeIxM3l10KDWpvuSBGbAA/TVH+96EOmX7Vv5TxerADz8ALlaSpqidH4+ZVg69atrF62gBXL/qL/E68zdpwH06ZNY9euXSxbtoyJEyfy77//8v33399wuieffJIZM2bwySefMHfuXDZt2pS6beDAganvL774IgDLli3LMIYtKiqK6OhoSpQokb+f2zkkLzlbhnx0C6mj4EvGmhuWav3MWDSAU3/C6vvMgx+rs/+aV+O34ZRlzcXKtzlvqQBH8ipuKrBxZ+D0n1D1LlN+8nfzXqKe82ITWZGcIzJXc6BZ9+z4XChxFR7KZNXkEpYp+Es66Hc74RIs6wxX0o1rv7TZrMXWYw0Ur2bbeRKjTV6KDYdSjUyuKgDLLbk6WytoRYEHlVK9gA2WsrZAFWCmUmqKdUet9XD7higyyI9+tvEXYVUfuLg+Y7lvALQxk1ew4y3zRHzXe2ll4kbKA3wqQNxZU6EtUgZPnUS3VjXo1uopmrbsxA8z5/HYY4/RtGlTmjZtyiOPPEKtWrUyraD17duXUaNG0b17d1q2bJnaLRIyTmtv/TolJYX169fj6+ub7x/VBUhecrYs81Ex4JG0b1MSYdMQ8177MagzFC5vh+2vwtHv4egPmOkgLao/AO1/NkueFFRKQb3nTG5d3Q+q9TVjVsIXmO31n3NqeCJTknNE1nwqmt/bKxr+7Wh6E/j6Q9V74NIW8/IsBrWfcEw8ez40lbOSDSB4vGmt3/mOqaTteBM6/Jz9Oc7+Z5YQuJZuCkq/OtBtieMqmoWUrU3yDYBtwBmghuV11lLWEGhqeTXJhxhFftv0pKmc+VSC+s+bvtQAcacsyeUO6DjLlB2f67w43YVvFShaFnQKB3Zv5dC+XYCCYgGE7j5EpUqVWLlyZeruoaGh1KhRA4ASJUoQHZ220KWPjw+9evXimWee4fHHH89wmblz56a+t2/fHoCePXvy+eefZzh3ASZ5yV2cX21aikrWh7bfQYX2UO9/UOX2tH1qDDRjXL2Kw4lfzYyGBV3D18z4lZQEOD4LwuebiluTd83PQ7gayTkie0pBp1/MRD9xZ8x40ktboEhZ0xW8WBXHxHHCcr/WbgYE3A1VepmlkwBOzMt+yaT4C7DqXlM5K9cOGrwMfoFm6ZRV9xbe7ukOYlMLmtb6lvwOJFccsWhzQXf1JIQvMn2ne202Td6HvrI8zNYmsbT52lQ6AJJiTHdImVE4a8rDzNDk409MyiWee2EEkVExeHl5ExgYyOTJk3nqqad46qmn8PX1pXjx4qmtZwMGDGDIkCFMmTKFefPmUadOHR566CF+//13evbsmeEyCQkJtG3blpSUFGbPng3AlClTGDZsGM2aNSMpKYkuXbowdWrBnGzAZfOSrQpT/kq6at59/DPmjss7zHuZ5mkPgWo+ZKadPzwVmo0u2Atce3hC22+h4Stwdpl5OFb1TigW4OzIRCbcPucIxwmoCpe33ljuyPxuzbu+6SqEPpXMPUpKAugk4CaTvh37ydzzVboVuv9jjms2ChY3gKh9cG4lVO6en5+gULN1mv2aWuuwLLZ10Fqvs+Ec3wF3Aee11vZ5umRdJPWGi9nl7IXD1TBAQ5ngtP7IFTrDuf/M19GHzXgq69PsCp2lcmYrL19adujJug09b9i0ZMmSTA/p2LHjDeugrVmzhieeeAJPz4yJdNiwYbz33nsZysqXL5/aslbQuWxeslVhyl/l25oxC+dD4Mw/Zn20uHOW/AME3JO2b8Uu4FXCPLW9Fgk+5Z0RsWOVrG9ewqW5fc4RjuMK+b1CJzj1B+weDa2+NOPjd79vWr7KtQHPojc/Puaoea96p6mcgenhUKm7GccWcwSQClp+sbWL4w6l1MPpC5RSHkqp0cAKG8/xPdA7B7EJRyhuutYRuQNiT5mvm7xNaha5sBbm+8OByeYXtMk7TgmzsLrvvvv48ccfef7568ekCyQvuQ+filB3GKBhRS9YWBsWVrc8wQW8001ic2EtJEWbGSGLlHZCsEJkSXKOcB+NR5gHY0emm/u4BVVg71izrcm72R9vXd/y9F+m5xSY2WfPrbRsl7Xc8pOtfUdeB6Yqpe4AngYqALOAqoBNC9xorVcppWrmJsg8K0xdiXKqeHWocpdZLPXv1lDjQYg+SOqjn5QESEgwT3eDJ0hztoPNnz8/03LrwtaFnHvnJSiYrWVZaT7RTDt98DO4egxQUDrIPBza/ipc2m7WUjv2o9k/cGjB7t4o3JH755zCpLDf+5VvC13/hG0vpq3L5lcHgsfatjZlrUfMxHBn/4FlXUyLXPh8iD1h7gkrSY/f/GTrGLSpSqmVwExgN1Aa+Be4XWvt+v/NXaGp2ZW1+w5W3mlm9tn/sSnz8IZWX5imbLT5pZaujcKFuH1egsKVlzw8Ieh9aPyWqaAVLQ9FK5jZxPaOg7B0s5QH3GvGnwnhQgpEzilM5N4P/HvAHbtMzk1JhhJ10rorZsenInT+3czieGGNeQEUrwmdF9h+HpErOXk8eRYIw8xO5AH8lR8JSSk1FBgKUL16dXufXmTGpwL02gBn/oWIjVCkjJnmWtY7E64v3/OS5CQ78/I1a+lYBY+F2oPN9PIp18w6aOXayAMh4aok5wj3olTuuyP694R7TpiZdeNOWdZBu6dgL4HiImydJKQL8DNmatnGQHvgM0sz/5Na6wh7BaS1/gb4BqBVq1aZPftIk1+LNhdGysNMwVqll7MjEcImjspLOcpJOSV1EKNkXWj0qrOjEOKmCkTOEY5RkO5Pi5SCwCedHUWhY2v75DLgR6Cj1vqw1vonIBjT/3pXPsWWvUuY5uvrX9LRQIjCwDXzUk5klr+EEK7K/XOOcAy5PxV5ZGsF7Tat9dtaW6fcAstUs12AL205gVJqNrAeqK+UCldKDc5psE5VFvM05PpXWWcGJdzd/PnzUUqxf/9+m/bXWjN8+HACAwNp1qwZ27Zty3K/ESNGUK9ePRo2bMiUKVMAuHz5Mvfddx/NmjWjTZs27N69226fxQkkL9mT5DghsiM5R4i8kL8zNrN1kpBVWZSnAB/YeI6BOYjLvuzR1CyDTQu9iNgInvzjSWbeP5Ni3sXscs7Zs2fTqVMn5syZw8iRI7Pdf+nSpRw6dIhDhw6xceNGnnnmGTZu3HjDft9//z0nT55k//79eHh4cP78eQA+/PBDgoODmT9/Pvv372fYsGH8999/dvksjiZ5yc4kxwlxU26fcwobV8uxQv7O5MBNW9CUUuuUUqXTff+RUqpsuu/LK6VO5GN89iFNzTkTexoOfwMHPocre7Pfv5D4ZP0n/HnwT77e8rVdzhcTE8PatWuZPn06c+bMsemYhQsXMmjQIJRStGvXjsjISM6cOXPDfl999RXvvvsuHh7mV7xixYoA7N27l1tvvRWABg0aEBYWxrlz5+zyeRxF8pLI1uWdcOAzODzNLIgtRB4UmJxT2EiOFfkhMRqO/Qz7J8P51WlrxNlZdl0c2wHpp2oZhplW1soTCLBzTMKZ9oyFhTVg01Ow9Tn4szGsGwQpic6OzKkiYiOYunUq8/5vHuPXjSc2MTbP51ywYAG9e/emXr16lC1bNsvuiumdOnWKatWqpX4fEBDAqVOnbtjvyJEjzJ07l1atWnH77bdz6NAhAIKCgvj9998B2LRpE8ePHyc8PDzPn8XBJC+JzCUnwJr+sDQItg6HTUNgYTXzh1SI3JOcI4SA8IWwIADWPwLbXjDrw/3bCeIv2v1SOV3EILNGSBnWXlCELzRrEukkqNoHaj4Mnj5mfaLd7zs7Oqf6ZP0n9GvYjz71+9ChWge7tKLNnj2bAQMGADBgwABmz56d7TE6kyc1KpPpyBMSEvDx8WHLli0MGTKEJ554AoA33niDy5cvExwczGeffUbz5s3x8nL7xYAlLwljx1tw4hfwLAa1HoUqd5iHS9tegDP/ODs6UXBIzhGisIk+DGv+DxKjoHx7CBxq1vK8uA42PGr3y7n9nZmwowNmIgmCx6dNeX32MVh+Gxz6Epq8Cx6F77+MtfVs21DTwvVul3fpPbM3T7V6Ktdj0SIiIli+fDm7d+9GKUVycjJKKcaPH5+hwvXFF1/w7bffArBkyRICAgI4efJk6vbw8HCqVKlyw/kDAgLo27cvAPfddx+PP/44ACVLlmTGjBmAqezVqlWLWrVq5eozCOFSkuNN12yAW/+D8u3M1ztHwu5RcPBzs6aPEEIIkVOHvzFrdVbvDx1nm/XlmrwLf9SD00tMBa5EoN0ul10LWmYTPxfOp0TWwabXvwrSYNPog+a92v1pZZW6g3cpSIiAa4Wz47a19axG6RoABFUOynMr2rx58xg0aBDHjx8nLCyMkydPUqtWLdasWZNhv2HDhhEaGkpoaChVqlShT58+/Pjjj2it2bBhA6VKlcLf3/+G8997770sX74cgJCQEOrVqwdAZGQk165dA2DatGl06dKFkiVL5vpzOInkpfzg7jku7iwkxYBvlbTKGaTlM2t+EyLnJOcIYQ/u/Hcm/T2y9UF6sappf2+iD9n1ctk1hyjgZ6VUguV7H+BbpZR1AE5Ru0bjygpD3aRYdYgNh3P/QYk6puzSVki8Al4lwLu0U8Nzlqlbp+Lj5UODzxuklkXGR7Lr3C5ebP9irs45e/Zs3njjjQxlffv2ZdasWXTu3DnL4+644w6WLFlCYGAgxYoVS20Ns26bNm0aVapU4Y033uChhx7i008/xc/Pj2nTpgGwb98+Bg0ahKenJ40aNWL69Om5it/JJC/lB3fPcT4VwKMoxJ02kxuVamTKz1lmKS1W3XmxCXcnOUcIe3DnvzPWvyHn/oMa/2e+vnbZ3Cen324nKrMxLakblZqR5cZ0tNaP2y2idFq1aqW3bNmSH6cWmTn2E6wfBB5FoPbjpuXs6HTTelb/eWg5ydkR2s2+ffto2LChTfuGR4UTcy3mhvLSPqWp7FfZ3qG5tcx+rkqprVrrVva6hjPzkuQkF7dxCByZBj4VofYTkHABjv5gxtV2mgfV+zo7QuECcpqTJOcIIYjcBUuCAG1a0Uo1hbCZEHMYKnSCHquzPDQ390E3bUHLr4qXcDHx580T5zItoN5wODgFDqfrvlf5Ngj60HnxOVlASZmcy5VIXipgruyD+HNQsiH4VsrbuVp8DFEH4MJq2Ds2rbzR6xm7bguRA5JzRKGVFAuXtpkH92VbFMp5CFKVbgptvoHNz8DJ380LoEQ96PCz3S9XiH/SgqQ4M5W+9QkzQLk20HkBRIaawZCVboVKt6T1txVCCHuIOgjrH4WIDeZ75QW1HoFWX4CXb+7O6V0SblsJZ/6F8yHg6WtazazdHYUQQmRPazgwGXaNgsRIU1asGrT6HAL6ODU0pwp8Eqr0hrDZkHARyraEgHvBs0i2h+aUVNAKs01DIexnUJ5Qrh1EH4CITbDlf3DnHihS2tkRCiEKosQo+K87xJ0yY1tLNoBLm+HoDDMbY8dZuT+38oAqvcxLCCFEzh39DrZZxtiXamImYLoaBqvvh9tWQ4X2Tg3PqYoFpM10no9yug6aKChiwkzfWY8i0HsL9FoP9xyHsq3MIPtjPzo7QvuIPmKm2d70DByaalaAF0I419EfTeWsTAu494TJP723mUk+js+GmKPOjjBnYsNhz4cmz+yfZMbtCiGEK0tJghO/weZnYdsrcGG9Kdfa5DOA1l/CnbugzxGo+wzoZNg3wXkxFyLSglZYXdoKaNOFsUywKfMuYRbe27TFtKS5u8PfwuanQaekle0aBd3/BTydFpYQhd6lzeY9cIjJOwBlmkHlHnB6MURsAb/azosvJ078BusegpSEtLJdo6DbYqjQ0XlxCSFEVq5dhhW9M97r7f/Y3AM2+8A8JPMqDnWGmm3KA+q/CIe+Khj3h25AWtAKqyKWRSeiD0FKclp51P6M293VlX1plbOaD0GLT01f4fizsLa/s6MTonCz5peoA2llKcmmm3X67a4u7iysf9hUzgLugRaToGIXM2ZjdT9ITsjuDEII4XjbXjYVrWIBEDQGGrwMnj5mMebwheDhbSYIiT2ZdkxBuT90E1JBK6wqdjEDPmMOmz7F4Qth57twYIrZXvNh58aXV0dnmMpZ7SfM7DoNXjD9pn2rmBkrc3rjpDVc3ATHf4HLoXYLc/78+Sil2L9/f2pZWFgYvr6+BAcHExQURIcOHThw4MBNzmIkJCTQv39/AgMDadu2LWFhYZnuN2LECKpVq4afn5/Nx7/++us0adKEJk2aMHfu3Fx9ViFSWfPLwc9hx9sm/6zpZx4Y+VaFSt2cGp7NwmaaMXNV7oTO86HB89B9uRmzEX8WTv/p7AiFECKjpFgIs4zz7b4MGr8FLSZCS8v937EfoFo/QEPI3WbfQ1PNvAVgJnMS+U4qaIWVhxe0/9E0YZ9aBKvuhd3vm9kcG70J5ds6O8K8iTtt3tN3MfLyNWPsIG3WSltEH4G/WsI/bU3r29Lm8G9niD2V5zBnz55Np06dmDNnTobyOnXqEBoayo4dO3j00Uf58MPslzmYPn06ZcqU4fDhw7z44ou8/vrrme539913s2nTjV0Usjr+zz//ZNu2bYSGhrJx40YmTJhAVFRULj6tEBblWkHjt83v4Z4xJv+ELwDPYiYveXg7O0LbpM8z1pluPTyhvGUAfexp58QlhBBZuXbJtPoXrQAl66eVV+hk3uNOQ/OJ4BcIV3abLtybnzEPnSrdAvWHOyfuQkYqaIVZpW5wx25o+CpU7gk1H4Fbl0NwAVjzzDqt9vHZaV04Y0/BuRXmaw8bp0RNToAVveDydrP4bcA9pnn/whrzZCn9+LYciomJYe3atUyfPv2GClp6UVFRlCmTfZeChQsX8uijjwLQr18//vvvPzJbiL5du3b4+/vbfPzevXvp2rUrXl5eFC9enKCgIP766y9bP6YQmQt6H25dAbUGmfzT8BW4czdU7u7syGxnzTMnfk1rlb92Oa3lrHRj58QlhBBZ8akERcpCwgWzJIlVmGUtr1KNoVgVuH0rtPgEqtxhppJv9wPc8rfpCinynUwSUtj51YTm450dhf3VfgL2joOzy2BJEyjTHE4vhaRoczNo6xP68AUQc8Q8Zeq12UxoEH8RlgaZStu55WYh71xYsGABvXv3pl69epQtW5Zt27bRokULAI4cOUJwcDDR0dHExsaycePGbM936tQpqlWrBoCXlxelSpUiIiKC8uXL2xRPVscHBQUxatQoXnrpJWJjY1mxYgWNGsm6UsIOKnVzn+6Mmane33TRvLwdFjcwLWln/4X482bypYpdnR2hEEJk5OEN9Z6F3aMh5E7TRTshAi6sNtvrP2/evUtCgxfNSzictKCJgsm3MnRdbMacRe03LWmJkVCxG3SYaft5Lu8w79X7p80251PePE1Kvz0XZs+ezYABAwAYMGAAs2fPTt1m7eJ45MgRJk2axNChQ7M9X2atZSoHC4xndXzPnj2544476NChAwMHDqR9+/Z4ecmzHSHw9jNPlP3qmDWCwmaaylnZltBlkZn5TAghXE2TdyDwKTPVfvgCUznzLAZtvobKtzo7OoGDW9CUUr2ByZg5zqdprcc68vqikKnYGe4JgzP/QPw5KBNkbpwAuGDbOXwqmfdLW9LKtLYsU5Buew5FRESwfPlydu/ejVKK5ORklFKMH39ja2afPn14/PHHbygfMWIEf/5pulKFhoYSEBDAyZMnCQgIICkpiStXrlC2bFmbY7rZ8SNGjGDEiBEAPPjgg9StWzc3H9vlSE4SeVamGdx1wLSmx540re3lO6SNSRMiHck5wiV4eEGbqdDoDTgfYrot+veGIqWcHZmwcNjjPaWUJ/AFcDvQCBiolJJ+UiJ/eXhD1TuhzhPpKmc5UGOAWTz39BJYOxCOfAer7oGIjeBdOq0lLYfmzZvHoEGDOH78OGFhYZw8eZJatWqxZs2aG/Zds2YNderUuaF8zJgxhIaGEhoaCpiK3A8//JB6/u7du+eoBS2r45OTk4mIMAvv7ty5k507d9KzZ8+cfmSXIzlJ2I2HJ/j3MHkm/YQhQqQjOUe4HL+aUPtRqNFfKmcuxpH9L9oAh7XWR7XW14A5wD0OvL4QOedbCdp9D8oLjs+BjYPh1B/g6QsdZ5kuTrkwe/Zs7rvvvgxlffv2ZdYsM/WtdQxaUFAQb731FtOmTcv2nIMHDyYiIoLAwEA++eQTxo5NezAbHByc+vVrr71GQEAAsbGxBAQEMHLkyJsen5iYSOfOnWnUqBFDhw7l559/LihdHCUnCSEcSXKOEMImjrzLqgqkW/GOcOCGudyVUkOBoQDVq1d3TGRC3EzNAVCuNRz9Dq4ehxJ1zSQkxavl+pQrV668oWz48LSpa+Pi4nJ8Th8fH3799ddMt1lb2QDGjx+faVfKrI738fFh7969OY7HDUhOEkI4kuQcIYRNHFlBy6zPxw2zEmitvwG+AWjVqtWNsxYI4Qwl6kDQGGdHIexLcpIQwpEk5wghbOLILo7hQPomhwBAVvEUQjiL5CQhhCNJzhFC2MSRFbTNQF2lVC2lVBFgALDIgdcXQoj0JCcJIRxJco4QwiYO6+KotU5SSj0L/I2ZXvY7rfUeR11fCCHSk5wkhHAkyTlCCFs5dCo2rfUSYIkjrymEEFmRnCSEcCTJOUIIWziyi6MQQgghhBBCiJuQCpoQTuLp6Zm61lmLFi1Yt25dtsdorRk+fDiBgYE0a9aMbdu2Zbrf4MGDCQoKolmzZvTr14+YmBgAZs6cSbNmzWjWrBkdOnRgx44dABw4cIDg4ODUV8mSJZk0aZLdPqsQQgghhLCNVNByoyxmstzrX2WdGZRwN76+voSGhrJjxw4++ugj3nzzzWyPWbp0KYcOHeLQoUN88803PPPMM5nu9+mnn7Jjxw527txJ9erV+fzzzwGoVasWISEh7Ny5k3feeYehQ4cCUL9+fUJDQwkNDWXr1q0UK1bshoW0hZuTvCWEEO5F8nah5dAxaAXGZTJZuYTMVzgR7q8s5t/8emWAS/a5RFRUFGXKlMl2v4ULFzJo0CCUUrRr147IyEjOnDmDv79/hv1KliwJmBa3uLg4lDL/OTt06JC6T7t27QgPD7/hGv/99x916tShRo0aeflIwtVI3hJCCPciebvQkgqaENnJpwQZFxdHcHAw8fHxnDlzhuXLl2d7zKlTp6hWLW0ZnYCAAE6dOnVDBQ3g8ccfZ8mSJTRq1IiPP/74hu3Tp0/n9ttvv6F8zpw5DBw4MIefRgghhBBC2IN0cRTCSaxdHPfv389ff/3FoEGD0DqzmmCazLZbW8euN2PGDE6fPk3Dhg2ZO3duhm0rVqxg+vTpjBs3LkP5tWvXWLRoEQ888EAOP40QQgghhLAHqaAJ4QLat2/PxYsXuXDhQobyL774InXijtOnTxMQEMDJkydTt4eHh1OlSpUsz+vp6Un//v357bffUst27tzJk08+ycKFCylXrlyG/ZcuXUqLFi2oVKmSnT6ZEEIIIYTICamgifwXdxb2fAjrHobQNyDqgLMjcjn79+8nOTn5hgrTsGHDUifvqFKlCn369OHHH39Ea82GDRsoVarUDd0btdYcPnw49es//viDBg0aAHDixAnuv/9+fvrpJ+rVq3dDHLNnz5bujaJgurQdtr4I6x6B/ZPgWmYDS4UQQthMp8CpJbBxKGx4HMJmQ/I1Z0dVIMgYtNwoQ+bjj7Kf46HwOb8KVt4FSdFpZfsmQJtvoc4TzovLBVjHoIGpSP3www94enre9Jg77riDJUuWEBgYSLFixZgxY0aGbdOmTaNy5co8+uijREVFobUmKCiIr776CoDRo0cTERHB//73PwC8vLzYsmULALGxsfz77798/fXX+fBphdMV5ry1ewzsfDvt+7CfYe9Y6L4MSjdxXlxCCHEzrpy3UxJhzf9B+IK0sqPfQ9nW0P0fKFLaSYEVDFJByw07zdxX4CUnwJr+pnJWuQfU6A/nV8OxH2DTUKjUHfxqOjvK7OVTgkxOTs7xMUopvvjii0y3LVmyJPXrtWvXZrrPtGnTmDZtWqbbihUrRkRERI5jEm6isOatixtM5Ux5QN3/QemmcOQ7iNhoWvVv3w5ZjOMUQgincuW8feAzUznzLg0NXwav4rD/U7i0GXa8Ba2/dHaEbk26OIr8c+ZviD8LpRpDt6VQZzC0/x6q9wedDMd+cnaEtrmEmcXx+pcrJ04hhHHU0src4CVo9RkEDoVbl4NPRYjcAZe3Ozc+IYRwR9bc2u47aPI2NHgRuv1pyo79CClJzoutAJAKmsg/8efMe5kW4JGu61651hm3CyFEfrHmmbKt0sq8ipkHR+m3CyGEsF1mubVUY/D0gaSr5iVyTSpoIv+UbmbeT/8JcWfM10lxEDbTfF0myDlxWWQ3pb3IGfl5CpdkzUNHv097ontlP1xYAygoJWPQhBAix6y59cj0tLKw2ZAcD8VrgHdJ58RVQMgYNJF/yrWBCp3hwmpY3AAq3QIRmyHuNPhWgRrOmy3Qx8eHiIgIypUrl+U6YsJ2WmsiIiLw8fFxdihCZBT4lJm18cxfsLg+lGwE55aZAe41BkLxatmeQgghxHUavgLn/oPdo+DMUvAsBudXmm0NXpGxvXkkFTSRf5SCzr/B2oHmlzh8oSkv1Qg6/gLefk4LLSAggPDw8BvWHRO55+PjQ0BAgLPDECKjYlWh2xJY/zDEHDUvgGr9oM03zo1NCCHcVZXeZkbu7S9DxCZT5lEUGr0G9YY5N7YCQCpoIn/5VIBbl0HkLriyz9wsle/g9Ccr3t7e1KpVy6kxCCEcpGInuPuwWfYj4SKUbQElAp0dlRBCuLfAJ6HGADi3AnQiVOgCPuWdHVWBIBU04Rilm5qXEEI4g4cXVO7u7CiEEKJg8faDgLudHUWBI5OECCGEEEIIIYSLkAqaEEIIIYQQQrgI5cpTYyulLgDHnR1HOuWBi84Ows7kM7kHd/5MNbTWFZwdhD3kc05y1X9jiStnXDEuV4wJnBeX2+Sk63KOq/w7ShyuFQO4RhyuEAO4Zhw5zjkuXUFzNUqpLVrrVtnv6T7kM7mHgviZREau+m8scf0/e/cdHVXxNnD8OykkoSc0gQChVyFApDdFARsI4k9s2LG3V1EQpSiICioqil2sgIIgIAjSewkQeodAgFASCBBKQpJ5/5hNb5tka/b5nLNnN3Pv3pm7yT65c6cVjCuWyxXLBK5bLlflKp+XlMO1yuAq5XCFMhSnckgXRyGEEEIIIYRwEVJBE0IIIYQQQggXIRW0gimOq5rKObmH4nhOIjNX/R1LuQrGFcvlimUC1y2Xq3KVz0vKkc4VygCuUQ5XKAMUk3LIGDQhhBBCCCGEcBHSgiaEEEIIIYQQLkIqaEIIIYQQQgjhIqSClgulVKRSartSKkIpFW5JC1JK/aeU2m95DnR2OfOilPpBKXVaKbUjQ1qu56CUGqqUOqCU2quU6umcUucvl/MaqZQ6bvl9RSilbsuwzaXPSylVQym1VCm1Wym1Uyn1kiXd7X9XImd5/M5z/Tt2YNlcKvYppRpm+DwilFIXlFIvO+OzctWYmku5ximl9iiltimlZiqlylvSQ5RSVzJ8bl85uFxuG6udJbffpWWbwz4zpVQvSz4HlFJD7JlXlnwL/D/SjmXxVkptUUrNdWIZyiulplv+JnYrpdo7qRyvWH4fO5RSU5RS/o4ohyvE4YLE3EKXQWstjxweQCRQMUvah8AQy+shwAfOLmc+59AFaAXsyO8cgCbAVsAPqA0cBLydfQ4FOK+RwGs57Ovy5wVUBVpZXpcB9lnK7fa/K3kU+Hee49+xg8vmsrEP8AZOArWc8Vm5akzNpVw9AB/L6w8ylCsk435O+LzcNlY765HH79KRf2PeluPXAUpY8m3ioPMv0P9IO5fl/4DfgbmWn51Rhp+AJyyvSwDlHV0OoDpwGAiw/PwH8IgjyuEKcbiAMbdQZZAWtILpg/liYHm+y3lFyZ/WegVwNktybufQB5iqtU7QWh8GDgBtHFHOgsrlvHLj8ueltY7WWm+2vL4I7MYEP7f/XYmc5fE7d1WuEvu6Awe11keckbmrxtScyqW1Xqi1TrL8uA4ItkfeBS1XHiSu5SKP36UjP7M2wAGt9SGtdSIw1ZK/3RXif6RdKKWCgduB7zIkO7oMZTGVg+8BtNaJWus4R5fDwgcIUEr5ACWBE44ohyvE4QLG3EKVQSpoudPAQqXUJqXUIEtaFa11NJiAAVR2WukKL7dzqA5EZdjvGK59wZiT5y1Nyz9kaN52q/NSSoUALYH1FO/flbDI8juHnP+OHcmVY98AYEqGn539WYF7fE8fA+Zn+Lm2pZvWcqVUZyeUx+1jtRNl/F068jNzid+Plf8j7WUC8DqQkiHN0WWoA5wBfrR8h79TSpVydDm01seB8cBRIBo4r7Ve6OhyZOBqcbjI31OpoOWuo9a6FXAr8JxSqouzC2RnKoc0d1qDYRJQFwjFBIuPLOluc15KqdLADOBlrfWFvHbNIc0lz0nkLYffeW5/x47kkrFPKVUC6A38aUlyhc8qLy7xPVVKDQOSgN8sSdFATa11SyzdtSx35R3F7WO1PSilFlnG8mR99MmwT9bfpSM/M6f/fgrwP9Ieed8BnNZab3JkvjnwwXStm2T5Dl/CdOlzKMuNlT6YLnvVgFJKqQcdXQ4rOPzv1lbfUx9bFqo40VqfsDyfVkrNxDRHnlJKVdVaRyulqgKnnVrIwsntHI4BNTLsF4xprnYLWutTqa+VUt8Ccy0/usV5KaV8Mf94ftNa/2VJLpa/K2Hk9DvP4+/YYVw49t0KbE79jFzhs7Jw2e+pUuph4A6gu7YMhtBaJwAJlteblFIHgQZAuCPK5O6x2l601jfntT2n3yWO/cyc+vsp4P9Ie+gI9FZmUht/oKxS6lcHlwHM7+GY1jq1x8V0TAXN0eW4GTistT4DoJT6C+jghHKkcok4bMvvqbSg5UApVUopVSb1NWbg3w5gNvCwZbeHgb+dU8Iiye0cZgMDlFJ+SqnaQH1ggxPKVyiWL2SqvpjfF7jBeSmlFKY/+W6t9ccZNhXL35XI/Xeex9+xo8rlyrHvPjJ0b3T2Z5WBS35PlVK9gDeA3lrryxnSKymlvC2v61jKdciB5XLbWO0suf0ucexnthGor5SqbWnNHmDJ3+4K8T/S5rTWQ7XWwVrrEMy5L9FaP+jIMljKcRKIUko1tCR1B3Y5uhyYro3tlFIlLb+f7pixgc76X+H0OGzz72l+s4h44gPTx3er5bETGGZJrwAsBvZbnoOcXdZ8zmMKpgvJNUwN/vG8zgEYhpldZi9wq7PLX8Dz+gXYDmyzfBmqust5AZ0wzd3bgAjL47bi8LuSR4F/57n+HTuoXC4Z+zAD0GOBchnSHP5ZuWpMzaVcBzDjHlL/vr6y7Hu35Xe7FdgM3OngcrltrHbWI7ffpaM/M0uM2mfJb5gDz7/A/yPtXJ5upM/i6PAyYLoHh1s+j1lAoJPKMQrYg7nJ8gtmlkK7l8MV4nBBYm5hy6AsbxRCCCGEEEII4WTSxVEIIYQQQgghXIRU0IQQQgghhBDCRUgFTQghhBBCCCFchFTQhBBCCCGEEMJFSAVNCCGEEEIIIVyEVNCEEEIIIYQQwkVIBU0IIYQQQgghXIRU0ITLUEotU0pNdHY5hBACJCYJIRxP4o4AqaAJN6eUWqKU0jk8/nF22YQQnkdikhDC0STuFD8+zi6AEEXUEhgG/JAl/bITyiKEEBKThBCOJnGnmJEWNJEvS3P7V0qpT5VS5yyPcUopL8t2pZR6XSl1UCl1RSm1XSn1YJZj9FJKrbS896xSaoFSqnE++XZXSsUppZ7KZXtdoDywXGt9Msvjgo1OXwjhYiQmCSEcTeKOcCSpoAlrPYD5e2kPPAUMAl62bBsNPA48BzQBxgJfK6Vuz/D+UsAEoA3QDTgPzFFKlcgpM6XU3cBMYJDW+utcytQaSAa2FPKchBDuS2KSEMLRJO4Ih1Baa2eXQbg4pdQyoBrQUFv+YJRSbwFPAw2BGKCH1nplhvdMABporW/L5ZilgAtAV631qgz57AC2AeOAe7TWC/Mo1wfA68ClLJvma63vKfCJCiHcgsQkIYSjSdwRjiRj0IS11unMtfm1wLtAGOAP/KuUyrjdF4hM/cHSBP8u0BaohLkD5QXUzJJPH8xdqS5a67X5lKk1MAMYkiX9vBXnI4RwbxKThBCOJnFHOIRU0ISt3AkczZJ2LcPrOcBxTMA5DiQBu4CszfrbAA08rpTKGgizagmM1lofKErBhRDFksQkIYSjSdwRNiFj0IS12iqlVIaf2wEngM1AAlBLa30gy+MIgFKqAtAYeE9rvUhrvRsoQ843CA5j+mX3AL7JkmcapVRtIAjpcy2Ep5KYJIRwNIk7wiGkBU1YqxowQSn1JXA9MBhzx+aiUmo8MN4SQFYApTFBK0Vr/Q1wDtM3+0mlVBRQHdOvOimnjLTWh5RSNwLLMIFpUA53j1pbnk8qpa7Lsi1Ga53jsYUQxYbEJCGEo0ncEQ4hFTRhrd8Ab2A9ptn9e+ATy7a3gVPAa8AkzIDXCOBDAK11ilLqXuAzzMDXA8CrmD7TOdJaH1RKdcMEpq+VUk9lCUypQWl31rdi7ibFFfgMhRDuRGKSEMLRJO4Ih5BZHEW+UmcU0lo/7+yyCCGExCQhhKNJ3BGOJGPQhBBCCCGEEMJFSAVNCCGEEEIIIVyEdHEUQgghhBBCCBchLWhCCCGEEEII4SKkgiaEEEIIIYQQLkIqaEIIIYQQQgjhIqSCJoQQQgghhBAuQipoQgghhBBCCOEipIImhBBCCCGEEC5CKmhCCCGEEEII4SKkgiaEEEIIIYQQLkIqaEIIIYQQQgjhIqSCJoQQQgghhBAuQipoQgghhBBCCOEipIImhBBCCCGEEC5CKmhCCCGEEEIASqllSqmJzi6H8GxSQRN2oZR6Vil1WCl1VSm1SSnVOZ/9RyqldC6PypZ9qiqlfldK7VFKJSulJudwnKZKqelKqUOW9460zxkKIYobpVSgUuoXpdR5y+MXpVT5fN4TmUvc+sdBxRZCuCilVFfLNdBVy3XJ0wV4r79SaqslnoTlsk9FpdRxyz4VM6SH5BKXetnivIT9SQVN2JxS6l7gU+A9oCWwBpivlKqZx9vGA1WzPJYDy7TWpy37+AExwPvA+lyOUxKIBN4CDhfpRIQQnuZ3oBVwK9DL8vqXfN5zA5njVitAA3/Yr5hCCFenlKoNzMNcA7UExgKfK6XutvIQ44Fj+ezzIxCRx/ZeZI5PS6zMWziZVNBEJsp4VSm1XymVoJQ6ppQaW8DD/B8wWWv9rdZ6t9b6BSAaeCa3N2it47XWJ1MfgC/QGfg2wz6RWusXtdaTgbO5HGej1vo1rfXvwOUCllsI4WaUUpWUUtFKqeEZ0ppb7lj3L8BxGmMuZgZprddordcCTwF3KKUa5vY+rfWZLLHrNuAC8GehT0oI4WxeSqn3lFIxSqnTSqnxSqmCXjM/DZzQWr9guRb6FvgJeC2/Nyql+gA35rWvUuolzE3pj/I4VGzG+KS1TizYKQhnkQqayOo94G3MnZ6mwD1AlLVvVkqVAFoDC7NsWgh0KEA5HgfigBkFeI8QwsNorc8AjwBvKaXaK6UCgCnAFK319AIcqj0Qj7nbnWo1cAkrY5dSSmFi169aa7lBJIT7egBIwnz3nwdeBu4t4DHak/1aaAEQppTyze1NSqlgYJKlDFdy2acl8AYwEEjJowx/WSqYqwtyw0o4n1TQRBqlVGngFWCI1voHrfUBrfVarfWXBThMRcAbOJUl/RRwnZXl8AIeA37WWicUIG8hhAfSWi8AvgR+szz7AS8U8DDXAWe01jrDcTVwGitjF3ALUBv4roB5CyFcyy6t9XCt9T6t9R/AUqB7AY9xHTlfC/lgrpWyUUp5Y+LYR1rriFz2KYW5CfWC1vp4LnnHY1rf/odp1V8MTFNKPVjAcxBOIhU0kVETzIXNYmt2Vkp1VkrFZ3g8kGGzzrp7Dmm5uQ2ogVzkCCGs9waQiLmj/IDWOj63HZVSX2WMXRk25RSjChK7ngQ25nZhJYRwG9uy/HwCqJzbzlmuhb7KsCmna6Gc0lO9CVwDPs6jbJ8Bq7XWufYw0lrHaK0/0lqv01qHa62HA18Dr+dxXOFCfJxdAOFSVP67ZBIOhGb4+RSQACST/Y5zZbLfScrNk8AarfXOApZHCOG5QjA3djRQh9wnEgIYjhmAn9FJoLJSSqW2olm6LFbCithlmW22D/BcgUsuhHA117L8rMm7USM0w+sLlueT5HwtlATE5nKc7pjx99dM+EmzTik1TWv9gGWfGkqphy3bUnc8qZT6QGs9LJdjrwcezeMchAuRCprIaBemgtUd2J/fzlrrK8CBrOlKqU2Yrj4ZB8nfghXjyZRS1YDbgSesK7IQwtNZxnP8BszGXIRMUkqt1lofzWl/y8ywp7MkrwVKY8aNpI5Daw+UIvO4tNw8iomfUwt8AkIIt6a1znYthIkpd2VJuwUI11pnrQCmehQTc1JVw4xbewAzJhagB1Aiwz43AD8A3cj72i0UM2GbcANSQRNptNYXlVKfAmOVUgnACqAC0FprPakAh/oY+EUptQETUJ7GBJm0Zn/LzJBttNZZ+3Q/hhmUn+MU1UqpUMvLskCK5edErfUuy/YSmK6aAP7AdZZ94nMJoEII9/cu5s70zcB5zGyMvyilbtRa5zWAPo3WerdS6l/ga6XUk5i70l8Dc7XWe1P3U0rtASZqrSdmSFOYm0pTtdYXbXVSQgi39hXwvFJqAiaWdMRMaHRf6g5Kqb6YSdm6a62Pa60zLQ+UoQv2Qa31MQCt9b4s+6SOZ9ujtY6xpD2MaQXcgplE5E5M6/4bNjw/YUdSQRNZDQXOYWZyDMZ07fm5IAfQWk9TSlXArEVWFdgB3Ka1PpJht6pA3YzvyzAD2m95zIC2JcvPdwJHMN2bwFQEM+5TFzNV9nLM3SUhRDGilOoKvArcorWOs6Q9ghlD8gbm4sdaD2DGd6TOvDYbM4NbRg3JPsC/G1DP8n4hhEBrfVgpdRvwCWaZoRPAi1nGjpXDxJRcZ3UsgreAWphhJ/uAx7TWv9ohH2EHKsOEVUIIIYQQQgghnEhmcRRCCCGEEEIIFyEVNCGEEEIIIYRwEVJBE0IIIYQQQggXIRU0IYQQQgghhHARLj2LY8WKFXVISIiziyGEKIJNmzbFaK0rObsctiAxSQj3504xSWKOEO6vMDHHpStoISEhhIeHO7sYQogiUEodyX8v9yAxSQj3504xSWKOEO6vMDFHujgKIYQQQgghhIuQCpoQQgghhBBCuAipoNnR1aSrxF6OdXYxhBAim9jLsVxNuursYgghPMTpS6e5lnzN2cUQwi249Bg0d/d/C/6PTdGbWPf4OpRSzi6OyODatWscO3aMq1flAtVW/P39CQ4OxtfX19lFEfnQWnPb77fRumprvrz9S2cXR1hIXLItiUmuIzklmS4/dqF/k/6Mvmm0s4sjLCTm2JYtY45U0Owk6nwUU3dMpWLJiiw4uIBe9Xo5u0gig2PHjlGmTBlCQkKk8mwDWmtiY2M5duwYtWvXdnZxRD7+PfAv566cY9rOaQztNJQa5Wo4u0gCiUu2JDHJtUzdMRVfb18mhU/i/9r/H0EBQc4ukkBiji3ZOuZIF0c7GbtqLE+2epLRN41m5LKRaK2dXSSRwdWrV6lQoYIEJBtRSlGhQgW5C+cGtNaMXD6S0TeN5omWT/D+qvedXSRhIXHJdiQmuY7klGTeWfEOn/T8hH6N+vHJ2k+cXSRhITHHdmwdc6SCZgeprWevdXiN/k36czHxIgsOLnB2sUQWEpBsSz5P9/DvgX+JT4ynf5P+vNbhNabunErU+ShnF0tYyPfIduSzdA1Td0ylUslKdK/dnTc7v8mX4V9y9spZZxdLWMj3xHZs+VlKBc0OUlvPKpWqhJfyYkTXEdKKJoRwutTWsxFdR+ClvKhUqpK0ogkh7Ca19Wxkt5EopagdWFta0YSwglTQCuiDVR9w5tKZXLdHnY/ihy0/EFYtjGWRy1gWuYyKJSty8NxBaUXzUGPGjKFp06Y0b96c0NBQ1q9fz9y5c2nZsiUtWrSgSZMmfP311wDMmjWLXbt2ObnEwp0sPLiQ/w7+Z9W+/x74l0PnDlGxZMW0+BRWLYwfIn6QVjQPI3FJ5OX0pdN8uPrDIh9n6o6pJCYn4q2802JOx5od+XT9p9KK5mEk5hSMTBJSACuPrGTI4iHEXI5hXI9xOe5z6tIp2gW344uNX2RKb1qpqQQjD7R27Vrmzp3L5s2b8fPzIyYmhkuXLtG3b182bNhAcHAwCQkJREZGAiYo3XHHHTRp0sS5BRduITE5kafmPgXAvuf34eud98xR566eo2mlpryz/J1M6W2rt+XUpVMyWYiHkLgk8vPBqg/4eN3HdKzRkY41Oxb6OPGJ8dQqV4tRy0dlSg+rFsbpS6dlshAPITGnELTWLvto3bq1diXdf+qu31n2jg58P1Cfij/l7OKIIti1a5dD8pkxY4a+4447MqXFxsbqSpUq6cuXL2dKX716tQ4MDNQhISG6RYsW+sCBA7ply5Zp2/ft26dbtWqltda6Vq1a+vXXX9c33HCDvuGGG/T+/fu11lqfPn1a9+vXT4eFhemwsDC9atUqO59hZjl9rkC4doF4YouHq8Wkbzd9q2/5+RZ988836+82fefs4ogikrhke+4ek5wRc6IvRuugD4L0qGWj9C0/3+Lw/IXjSMyxPVvFHId2cVRKRSqltiulIpRS4Y7Mu6hWHlnJoXOHGNJpCA9c/wDjVufcgpbRuSvnHFAy4cp69OhBVFQUDRo04Nlnn2X58uUEBQXRu3dvatWqxX333cdvv/1GSkoKHTp0oHfv3owbN46IiAjq1q1LuXLliIiIAODHH3/kkUceSTt22bJl2bBhA88//zwvv/wyAC+99BKvvPIKGzduZMaMGTzxxBOOP2k34s4xKTE5kTErxzCi6whGdB3B6JWjC7QI7MWEiySlJNmxhMJVSVxyLlePO+NWj+Oh5g8xpNMQ9sXuY/XR1c4uUq6uXLvClWtXnF0MkQ+JOYVQ0BpdUR5AJFDR2v1d6W5195+66+83f6+11vrY+WP5tqItPbxUB4wO0McvHHdUEUUBOOqukdZaJyUl6aVLl+rhw4frKlWq6B9//FFrrfW2bdv0xx9/rENDQ/XDDz+stdb64Ycf1n/++Wfae3/99Vf94osv6qSkJF2nTh0dExOjtTZ3jQ4ePKi11joxMVEHBQVprbWuVKmSbtGiRdqjWrVq+sKFCw47V3e7W+3OMSm19SxVQVrRUlJSdIfvO+hXF7xqr+KJQpC4ZHuuGJMKEnccHXNSW89OXDihtdb6m/BvXLoV7d4/79X/+/N/zi6G25KYY3u2ijkuG5S0C10MrYhcoWtPqK0TkxLT0p7/53n92oLXcn1P1x+76iZfNNEvznvREUUUBeTIoJTRn3/+ma2Z/8yZM7p06dJa6+xB6cqVK7p+/fp61qxZ+p577klLr1Wrlj506JDW2gSlChUqaK21rlChQrbuAo7kihdDeT3cNSYlJCXokAkhetWR9G4bK4+s1CETQjLFqdwsPLBQ1/m0jg58P1CfvHjSnkUVBSBxyfZcMSa5cgXt//79P/3S/JfSfk5IStC1PqmVKda4ih2ndujK4yrrKuOq6O2ntju7OG5JYo7tuWUXR0ADC5VSm5RSgxycd6GNWzMOX29fHpz5IPdOv5d7p9/LzjM7+WLjF8Qnxmfbf1nkMo5fPM7CBxfyy7ZfOHHxhBNKLVzB3r172b9/f9rPERERVKlShWXLlmVKq1WrFgBlypTh4sWLadv8/f3p2bMnzzzzDI8++mimY0+bNi3tuX379oDpRjBx4sRMxxZ5csuYNH3XdE7Gn+SzDZ+lxaTPN3zOyfiTTN81Pc/3am2m2h9z0xjTXXtN/t21RfEiccnpXDLuXEi4wKTwSWw/vT0trjw08yFKeJdwyTjx7op3ebX9q7za/lXeXfGus4sj8iAxp+AcPYtjR631CaVUZeA/pdQerfWKjDtYgtUggJo1azq4eDkb1nkYkXGR2dJfavsSAT4B2dJHLhvJ213epnrZ6jwa+igfrPqAT2/91AElFa4mPj6eF154gbi4OHx8fKhXrx6ffvopTz31FE899RQBAQGUKlWKyZMnAzBgwACefPJJPvvsM6ZPn07dunV54IEH+Ouvv+jRo0emYyckJNC2bVtSUlKYMmUKAJ999hnPPfcczZs3JykpiS5duvDVV185+rTdiVvGpBtDbmRyn8nZ0vs16keXWl3yfO+iQ4s4e+Us9zS5h841O3P9pOsZ3GEwVUpXsVNphauRuOR0ecYdZ8Wckr4lmXL3FK4mXc2U3q9RP2oH1nZYOayx8/ROlkYu5bve36FQ1PmsDjtO76BZ5WbOLprIgcScglOm5c0JGSs1EojXWo/PbZ+wsDAdHu5y42fztCxyGU/OeZLdz+3Gx8uHk/EnafJFE3Y8u4NqZao5u3jCYvfu3TRu3NjZxbDK+PHjOX/+PO++m36HMCQkhPDwcCpWrOjEkmWX0+eqlNqktQ5zUpGsVlxjUkZaazr92Innb3ie+66/D4AX5r2An48f43vketrCQSQu2Z6rx6T84o67xxx7GTB9AK2qtuL1jq8D8OHqD9kUvYlp/ac5uWTuRWKO7dkq5jisBU0pVQrw0lpftLzuAbyTz9vczshlI+nXqB9bT25NS+sW0k1a0USh9O3bl4MHD7JkyRJnF6XY8ZSYlNGiQ4s4cPYAdYPqsunEJgBuqXsL98+4X1rRhNUkLhWeJ8YdW9t5eidz9s3hmbBn0uJY2+ptGbV8lLSiFVOeGHMc2cWxCjBTKZWa7+9a638dmL/dJaUkodEsOryIRYcXZdpW1q+sk0ol3NnMmTNzTE9dzFEUSbGPSVkdPX+U4LLBPPPPM5nSG1ZsyJHzR6SCJqwicalIPC7u2FpkXCSNKjbi/xb+X6b0RhUbERkXKRW0YsgTY47DKmha60NAC0fl5ww+Xj4sf2S5s4shhLCCJ8SkrB5v9TiPt3rc2cUQwmN5Ytyxtdsb3M7tDW53djGEsCtHz+IohBBCCCGEECIXxaKClpSS5OwiCCFEmuSUZJw1AZMQwjPJtZAQxYfbV9BiLscQ/HEwEScjnFuQIEDl8AhyZqGEEM7Q/8/+jFk5xtnFyExilBDF1qSNk+j+c/fsN4bkey+EW3L7CtrHaz/Gx8uHd5Y7eRKkc5ilJ7M+zjmzUMLVzZw5E6UUe/bssWp/rTUvvvgi9erVo3nz5mzevDnP/V944QVKly6d9vPff/9N8+bNCQ0NJSwsjFWrVgFmEcnQ0NC0R9myZZkwYUKhz8uTbTy+kTVRa5iwbgJxV+OcXZx0EqOElRwdl8aNG5cWe5o1a4a3tzdnz54t0jl4kivXrjB65WgOnD3Af4f+y7xRvvfCDdgr5jzyyCPUrl07Lb6kLli9bNkyypUrl5b+zjvpdYiQkBCuv/76tOskZ3HrClrM5Ri+3vQ1iwYuYt2xdc5vRRPFWtzVOB7464Fsi3gWxZQpU+jUqRNTp061av/58+ezf/9+9u/fzzfffMMzzzyT677h4eHExcVlSuvevTtbt24lIiKCH374gSeeeAKAhg0bEhERQUREBJs2baJkyZL07du30OflyUYtH8XwLsPp3bA3E9ZNcHZxRDE3ZNEQNhzfYNNjOjouDR48OC3+jB07lq5duxIUJE081vp287fcUO0GPurxESOXjZTu1cKupu+azqSNk2x6THvGnHHjxqXFl9DQ0LT0zp07p6UPHz4803uWLl1KREQEzlyD0K0raB+v/Zj+jfvTqGIj3uj4hvNb0USxNmHdBKbtmMZ3m7+zyfHi4+NZvXo133//vdVB6e+//2bgwIEopWjXrh1xcXFER0dn2y85OZnBgwfz4YcfZkovXbo0lumduXTpUtrrjBYvXkzdunWpVatWIc7Ks208vpGIkxE83upxhnUexsQNE12rFU0UKxEnI/ho7UcMWTTEZsd0RlzKaMqUKdx3332FLr+nuXLtCh+s/oARXUdwT5N7iLsal70VTQgbSUhK4JUFrzBsyTDOXrFNK7c9Y447c9sKWmrr2Zud3wRgUOtBNm1Fu5p0lf/9+T9iLsfY5HjCvcVdjWPihon8fvfvvL/qfZu0os2aNYtevXrRoEEDgoKC8u0WBHD8+HFq1KiR9nNwcDDHjx/Ptt/EiRPp3bs3VatWzbZt5syZNGrUiNtvv50ffvgh2/apU6fKBVIhjVo+iqGdhuLv40/doLoOaUXTWvPIrEfYH7vfrvkI1/PO8ncY230sR88fZXmkbZZ4cVZcArh8+TL//vsvd999d+FPwMOktp61rNoSby9vhncdXuhWtLeWvMWSw56zELAouB+2/MD1la+nf5P+fLL2E5sc054xB2DYsGE0b96cV155hYSEhLT0tWvX0qJFC2699VZ27tyZlq6UokePHrRu3ZpvvvmmCGdWNG5bQft47cf0qNuDAN8ATl86zcXEizzZ6kmbtaJ9v/l7Zu6ZyUdrPrLJ8YR7m7BuAr0b9uZ/Tf9Hq6qtbNKKNmXKFAYMGADAgAEDmDJlSr7vyemfbtZWsBMnTvDnn3/ywgsv5HiMvn37smfPHmbNmsXbb7+daVtiYiKzZ8/mnnvusfY0hMXG4xtZf3w9dza8k9OXTnP60mmebPUkn63/zK6taHP2zeG37b8xavkou+UhXE/EyQjWHVvHczc8x1td3rLZ799ZcQlgzpw5dOzYUbo3WunKtSu8v+p9ngl7Ji3mdK3Vlej46AK3ou2J2cP4NeN5beFr0kVS5CghKYH3Vr3HiK4jeLPzm0wKn2STVjR7xRyAsWPHsmfPHjZu3MjZs2f54IMPAGjVqhVHjhxh69atvPDCC9x1111p71m9ejWbN29m/vz5fPHFF6xYsaKQZ1Y0Dluo2tY2RW9iS/QWmn2ZecX4Mn5lSE5JxtvLu9DHvpp0lbGrxjKt/zSenPMkr3Z4lYolK+b9pkDMzEg5pQu3ltp6tv6J9QCM6DqCPlP78ESrJ/D38S/UMWNjY1myZAk7duxAKUVycjJKKT788MNMQeaLL77g22+/BWDevHkEBwcTFRWVtv3YsWNUq1Yt07G3bNnCgQMHqFevHmDuSterV48DBw5k2q9Lly4cPHiQmJgYKlY0f9/z58+nVatWVKlSpVDn5cnWHluLQhH2TeZBxT5ePkScjKBbSDeb56m1ZuSykXzf+3teW/gae2L20Khio5x3lhhVrLyz/B1e7/g6Ab4BPNj8QUavGM3yyOV0Dela6GM6Oy5J633B7InZQ4pO4aGZD2XbtiZqDT3q9rD6ez96xWje6vIWM3bPYM6+OfRu2NsuZRbuK7X1rG1wWwD6Ne7HJ2s/4d2b3i30Me0Zc4C01no/Pz8effRRxo8fD0DZsmXT9rntttt49tln066FUo9TuXJl+vbty4YNG+jSpUuhz7HQtNYu+2jdurV2honrJ+rbf7tda631M3Of0UP+G+KUcgj72bVrl9X7jlg6Qj8669FMaXf+fqf+fP3nhc7/q6++0oMGDcqU1qVLF71ixYo83zd37lzdq1cvnZKSoteuXatvuOGGfPMqVapU2uv9+/frlJQUrbXWmzZt0tWqVUv7WWut7733Xv3DDz8U5FQyyelzBcK1C8QTWzycFZNy8/eev3XoV6E6JSVFj1kxRj8w4wFnF0kUgbVxaUv0Fl11fFV9OfFyWtqPW37UN06+sUj5Oysuaa11XFycDgwM1PHx8QUveB7cPSY5IubsPrNbV/ywoj5/9byeuXumbvlVy0z/F0TxZW3MuXrtqg7+OFivi1qXlnb43GFd4YMKOvZybKHzt3fMOXHihNZa65SUFP3SSy/pN954Q2utdXR0dNrf+Pr163WNGjV0SkqKjo+P1xcuXNBaax0fH6/bt2+v58+fX6BzslXMcdsWNHtJbT2bee9MAIZ2Gkro16HWtaKJYmnihomU9StLq69bpaXFXI5hb+xenm/zfKGOOWXKFIYMyTyw/+677+b333+nc+fOub7vtttuY968edSrV4+SJUvy448/Ztr23Xff5XgXKdWMGTP4+eef8fX1JSAggGnTpqXdpbp8+TL//fcfX3/9daHOSTiW1qb1bETXESileL7N89T7rF7erWiiWPhy45dcTbpKxx86pqUlpSSx/fR2dp7eSdPKTQt1XGfFJTBjY3v06EGpUqUKVXZReKNXjOblti9T1q8sfRr2YdTyUdKKJjKZvXc20RejeeafzLMlXrp2iZ+3/szL7V4u1HHtHXMeeOABzpw5g9aa0NBQvvrqKwCmT5/OpEmT8PHxISAggKlTp6KU4tSpU2kzWCclJXH//ffTq1evQp1bUSlTsXNNYWFh2pFTXK47to73Vr5Hik5h7v1z09Kf/edZyvmVY+zNYx1WFmFfu3fvpnHjxlbte+DsAS4kXMiWHhQQREj5EBuXzL3l9LkqpTZprZ23mIgNOTom5WX23tm8vfRtWlVtxWe9PqOMXxneW/keu87s4td+vzq7eKIQrI1LMZdjOHr+aLZ0b+XN9VWux0u57fBym3P3mGTLmDN00VAebP5gpgr8npg9dP6xMwdfPEhZP9Pta9aeWbyz/B02DdqU47geUXxYG3MSkhLYeWZnjtsaVGhA6RKlc9zmiWwVc6QFzUJrzasLX2Vt1FoqlKyQaWzbxcSLnLtyjve6vyfBygPVC6rn7CIIkc2XG7/k4NmDbDu1jXn751GpZCWuJF0hMi6Sz279jKAAmWihuKpYsqL06BAFsvH4Rj5c8yG7Y3Yza8CstPRvNn3D1aSrdPi+Q1qaRrPrzC7WHVtH+xrtnVBa4Wr8fPxoVbVV/jsKm5EKmsWiQ4uIvRzLi21fJDIuktE3jc60vXSJ0lI5E0K4jG/u/IYbvr2BYZ2HMX7NeL7v/T2lSpTCz9tPKmdCiExGLR/FBzd/wCfrPmFL9BZaVm0JmEmvHmv5WLb9FYrGlazrZSKEsD2poGEZy7F8JMO7Due2+rdR77N6+Pv4S8uJEMJlzd47mzbV2zC081C2n97O0silDOlkuwWLhRDFw8bjG4k4GcH0/02nhHcJRi0fldaKVs6/HOX8yzm3gEKIbKSjOumtZ/c2vZfy/uV5oc0LjFk5xtnFEkKIHF1Nusr7q95nRNcRALzd5W0+XvsxFxMuOrlkQghXM2r5KIZ2Goq/jz9PtnqSjSc2siV6i7OLJYTIg8dX0DK2nqWunfZSu5eYs3cOB84eyOfdQgjheN9t/o6WVVsSVs2MOW5cqTE317mZLzZ+4eSSCSFcSWrr2eOtHgcgwDeANzq+IQvbC+HiPL6L46boTayJWkNSShITN0xMS0/RKXyx4Qs+6fWJE0snhBDZfbr+U1J0SqaB/TGXY1hyeIl0cxRCpPlsw2ckJidy0083paVdTbrKlpNbOHzuMLUDazuxdEKI3Di8gqaU8gbCgeNa6zscnX9WodeFsvbxtaTolGzb6gbWdUKJhMuK2wmXIqFMfSjbwCaHnDlzJv369WP37t00amTWroqMjKRx48Y0bNgQrTWlSpXixx9/pGHDhnkeKyEhgYEDB7Jp0yYqVKjAtGnTCAkJybZft27diI6OJiAgAICFCxdSuXLltO3Tp0/nnnvuYePGjYSFmRaaXr16sW7dOjp16sTcuXOzHdOduVpMssac++Zw9srZbOnl/GQsiUe5ehrObgLfslChHVh6gRSVM+JSqt69e3Po0CF27NgBwJEjR3jsscc4c+YMQUFB/PrrrwQHB6ftf+HCBRo3bkzfvn2ZOHFibod1KY6MOe93f59nwp7Jlu7j5UOt8rXsmbUojpKvwpk1oJOhYjvwLWOTwzoj5vTq1Yvo6GiSkpLo3LkzX3zxBd7e3nz88cd89913+Pj4UKlSJX744Qdq1TLflaNHj/LEE08QFRWFUop58+blGc+KwhldHF8Cdjsh3xz5ePnQLrgdHWp0yPaoUroKAGui1rA3Zq+TSyqc5tJR+K8TzGsGy++AuQ1hSU9zcVREU6ZMoVOnTkydOjVTet26dYmIiGDr1q08/PDDvPfee/ke6/vvvycwMJADBw7wyiuv8MYbb+S672+//UZERAQRERGZKmcXL17ks88+o23btpn2Hzx4ML/88ksBz85tuFRMskajio3oUKMDIeVDuJhwMS1mFXaBYuFmUpIg/EWYFQzLbjPxaU49OLXUJod3Vlz666+/KF0683pKr732GgMHDmTbtm0MHz6coUOHZtr+9ttv07Vr1wKcnUtwWMypXrZ6jtc3baq3ccp6eQfPHmTFkRUOz1fYwKGfTcxZ0h2W9oCZ1WD3eJsc2hkx548//mDr1q3s2LGDM2fO8OeffwLQsmVLwsPD2bZtG/379+f1119Pe8/AgQMZPHgwu3fvZsOGDZmun2zN6m+nUspfKdVfKfWGUqq8Ja2uUsrq+ZyVUsHA7cB3BS6pkyQmJ3LfjPuyrZ4uPETKNVjaE86sBt/ycN3N4FMKTi6E5b2hCAu9x8fHs3r1ar7//vtsQSmjCxcuEBgYmO/x/v77bx5++GEA+vfvz+LFiynoQvRvv/02r7/+Ov7+/pnSu3fvTpkytrlTZktFjUvuGJMyGrp4KPf8eU+OrWmiGNs6FPZ9bu5iV+4CpUJM6/6y2+HC/iId2llxKT4+no8//pi33norU/quXbvo3r07ADfeeCN///132rZNmzZx6tQpevToYdW52YKnx5yien7+8wyYPoCrSVedXRRRENELYd3DkBAL5ZpBUBgkxcOWwXBocpEO7ayYU7asWZg9KSmJxMTEtKW0brzxRkqWLAlAu3btOHbsGGBiUVJSErfccgsApUuXTtvPHqyqoCml6mHu9nwFjAFSA9EzwIcFyG8C8DqQvT9hel6DlFLhSqnwM2fOFODQ9jE5YjL1g+pz9PxRlkcud3ZxhKMd+xsu7IHSdaHPIbjpP7hzP/hXgdj1cLrwfxOzZs2iV69eNGjQgKCgIDZv3py27eDBg4SGhlK3bl0+/vhj/u///i/f4x0/fpwaNWoA4OPjQ7ly5YiNjc1x30cffZTQ0FDefffdtMC1ZcsWoqKiuOMOt+jlZ6u4NAE3i0mp9sfu5599/3Br/Vv5ZK2MlfUY1y7Cvi/N65sWw83L4c4DUONuSL4C+4rWzc9Zcentt9/m1VdfzXbB06JFC2bMmAGYblAXL14kNjaWlJQUXn31VcaNG1eU0y0QT485RbXu2Dp2nt5J6HWhfLvpW2cXRxTELsufd9M34bZt0Gsj3GCJQ7s+KNKhnXkt1LNnTypXrkyZMmXo379/tu3ff/89t956KwD79u2jfPny9OvXj5YtWzJ48GCSk5MLc8pWsbYFbQLwH1AFuJIhfTZwozUHUErdAZzWWm/Kaz+t9Tda6zCtdVilSpWsLJ59JCYnMmblGN658R3e6vKWzHrkLlKSTYtX9EJIKGLLwllLoAi5H0pY7twEVIUa/Szb8/xzztOUKVMYMGAAAAMGDGDKlClp21Kb9Q8ePMiECRMYNGhQvsfL6Q5RTour//bbb2zfvp2VK1eycuVKfvnlF1JSUnjllVf46KOPCn0+TjCBIsQld4xJGY1eOZoX277I+93f58vwL6UVzV3oFIjZACcWwJVTBX//hb2QfBnKNYUq3UyalzfUf9q8Plf4mATOiUsREREcOHCAvn37Ztt3/PjxLF++nJYtW7J8+XKqV6+Oj48PX375JbfddlvahZiDTMCDY05RjVo+ijc7v8nom0bz/ur3i08rWvxhODEf4rY7uyT2c85yLVT/OUj9/tZ9EpSPuYmddLnQh3bWtRDAggULiI6OJiEhgSVLlmTa9uuvvxIeHs7gwYMB09K2cuVKxo8fz8aNGzl06BCTJ0+29jQLzNoKWgdgvNY6a1XxKFDNymN0BHorpSKBqcBNSqlfrXyvwyQkJfDLVjPWZnLE5LSxHg82f5Cj549yrfw1UGR/WN3R0/NsPL6RNxe/6ZjMov+DOXXNmIylPU0f6S1vmEpbYfhVNM9x29LTtE4PxH6F++cZGxvLkiVLeOKJJwgJCWHcuHFMmzYtx8DSu3dvVqzI3md/2LBhhIaGEhoaCkBwcDBRUVGACSTnz58nKCj7H2b16tUBKFOmDPfffz8bNmzg4sWL7Nixg27duhESEsK6devo3bs34eHhhTo/BylqXHKLmASwL3YfK4+sTPs5tfXsxbYvUjuwNv0a9cveihaExKpCuHLtCg/+9SAXEi7Y/uAx6+GfJrCwLSzrZcZzbHgakhOtP0ZqTLp0BBLPp6ef25Z5eyE4Ky6tXbuWTZs2ERISQqdOndi3bx/dunUDoFq1avz1119s2bKFMWPM+qTlypVj7dq1TJw4kZCQEF577TV+/vlnhgyx+wym7hlzChAL9sTsYfXR1TYvQmrr2aOhj9KqaivCqoW5VStaik7h8b8f5/iF4+mJiXGwoi/MrmPGgs5rDgvawcWDTiun3aRdC2WohF7YAzoJfEqDl1+hDuvMa6FU/v7+9O7dO1P36UWLFjFmzBhmz56Nn59f2nFbtmxJnTp18PHx4a677srU2mdrBRkh6ptDWk3gfA7p2With2qtg7XWIcAAYInW+sEC5O8QP0b8yMBZA1l0cBFjVo5JWwjWx8uHt7q8he95X9Bkf5xzXpld3RuL3mDcmnFsO7Ut/52LIm4nLL/TXLiUCoGK7SElAXZ/CDtHF+6YtQaAl6/p6rj+CTgyDdbcD2dWgU8ZqHFXoQ47ffp0Bg4cyJEjR4iMjCQqKoratWuzatWqbPuuWrWKunWzzyg6ZsyYtIk+wASvn376Ke34N910U7a7RklJScTExABw7do15s6dS7NmzShXrhwxMTFERkYSGRlJu3btmD17dtosji6s0HHJXWISwLP/PMt9M+4jISkBSG89K+9fHoA3O7+ZvRXtHBKrCuHrTV8zZceUTMuu2MSlKDOw/sJeCKgOlToDKXDga9j8ivXHKR1i3psUb453+BfY/g5ss4zdqv1woYvorLj0zDPPcOLECSIjI1m1ahUNGjRg2bJlAMTExJCSYnoDjh07lsceewwwPQGOHj1KZGQk48ePZ+DAgbz//vuFPvcCcL+YU4BY8PTcp7n/r/tJLMhNAyuktp75+ZiL3RFdR7hVK9r0XdOZvHUyY1eNTU9c9T84Ngu8/aHKjaaXTex6WHILJF3J9VhuqfZA87zuYdjzKez/Glb0MWkhDxZ6BllnxZz4+Hiio6MBc100b968tNkjt2zZwlNPPcXs2bMzTQJyww03cO7cOVK7HS9ZsoQmTZoU6rytYW0FbSGQseOnVkqVBUYB/9i8VE6SkJTAeyvf4+nWT/PC/Be4mHCRf/b9w7DFwxi2eBi7z5hJl+xxd6m4Wh65nCPnjzD6xtG8s/wd+2a2d4KpkNW634zJ6LEGulqmhN8zoXABs2Q1aPMNKC84+D2sHgBHpoJXCWj/s5neuhCmTJmSrTvP3Xffze+//w6k97tu0aIFb775Jt99l/948scff5zY2Fjq1avHxx9/nOliJfXOUkJCAj179qR58+aEhoZSvXp1nnzyyXyP3blzZ+655x4WL15McHAwCxYsKMDZ2o1HxKWVR1Zy6NwhmlZuyvdbvufwucP8uu1XTsWfSotN323+jjIlyvDZ+s+cXVy3duXaFT5c/SG/9fuNT9Z9YttWtANfwbULULUn9D4Et6yAW1YDCg5+B1djrD9W2+8goBrEboC1A2H7CDP+rO6TEHxXoYvorLiUl2XLltGwYUMaNGjAqVOnGDZsWMFOyraKdcxZFrmMYxeO0aBCAyZHTLbZcTed2MSCAws4cPZAWsyasWsG15Kv8cOWH2yWj72k6BRGLR/Fj31+5Pftv3PswjEzvOHkf+BbDm7fDd2XQO/DUK4JXDoMR/9wdrFtq9GrUOUmuHoKNr8MG5+G+ENQvgW0GFPowzor5ly6dInevXvTvHlzWrRoQeXKlXn6adNNfPDgwcTHx3PPPfcQGhpK7969AfD29mb8+PF0796d66+/Hq21VddPhaWsmeVNKVUNSJ2/tw6wBagHnAK6aK3tMoo1LCxMO7KL1VfhX/H33r+Zc98cak+oTc96PaldPvMijsO6DuPIuSPZ1w9RmDtSRTBs8TDaVG9Dn0Z9inYgF3LTTzfxUPOHuLfZvdT9rC4LHlxA8yrN7ZPZ/FZwbgvcsgoqdUxP/7uOCZi37YDyZhry3bt307hxY+uPHbfTXESlroNWbxCUqWfb8hcDOX2uSqlNWmubN8U5Iy45OiYB3Pzzzdx//f00q9yMu/+4m/WPr+enrT/luHZjx5od6RbSzfyQQ0xad2wd7Wq0K3KsKq4mrJvAiiMr+Ovev3jgrwdoWqkpb3a2Uffspb0gegF0/gtqZLggWdDO3HXvvpTdZ6tYH5cSz5mbRjFrzY2iWvfBdbekjw8RgG1jktvGnNyuT7Kkd5vcjUdDH6VBhQYMmDGA/S/sp4R3CauymL5rOjtO72Bkt5HZth27cIyfIn7K8X231L2FNtXbWJWHs/yx8w8+Xvsxax9fy+v/vc6VpCtMbNAcNjxlWo86ZFiCZteHEPEGNHgewj53XqGtVKBroZQkiJphehTpJLiuB4Q8AD4B9i2km7FVzLFqoWqt9QmlVChwH9AK0/L2DfCb1rpYtOOmtp79cc8f+Hj58O5N7/JTxE+83eXtbJUxeyzueODsAT5d/ynVylTj9ga34+NVwDXEL5+A/V+YyTF8SpuuebUGQEGPY0OprWcPNn8QX29fBncYzDvL32H6/6bbJ8O0PtI70itoV2PgygnL9gqFP3b5ptBaZspzJZ4Ql1Jbzx5q/hC+3r40r9KcWXtnMbTz0PzfjLkwCi6bvqjv0MVDWcpSVhxZQZdaXQpfsMQ40zUveiEob9NqU+dRt/5Hndp6Nu+BeQC83eVtOv/YmefbPE9Zv8K1lGeSMT6lVtCSLkP8gczbrVUiEBq/VvRyCasV55iT2nr2QPMH8PHyoXHFxkyOmMyg1vlPypCYnMjg/wYTezmWR0MfzXaNFFw2mGFdnNjyeeUk7P8STq8wy+TUvMdULLxy6q2aWWrr2Uc9PkIpxeCOg2k0sREj67agIsD5HWZcuuXGiI7bjoIijQV1WV4+UOte8xB2Z+00+12Aa1rrH7TWz2utn9Vafwdcs2xzez9G/EjTyk1pF9wOgAebP8jumN3U/7y+ac4uCisG6I5ZOYbXOrxGtTLVmLJ9Sk5HyV3cDpjfHHa+Z6Z9P/EPrH0IVt5t7ng4yajlo3ir81v4epsg+HTY06yOWm2/sWipfaS3DIadY83YjKU9TbfHqj0h4Dr75CucwhPi0qjlo8zYV8t3aETXEYxdNTZtLFp+wr4J4/I1M7vWsshlRJ2PSjtuoaTGMr/y0PQNuHkxdF8IrQbAoq5mCng39fWmr2kX3I7Q60IBsxh4j7o9bDcWLeQh87xzDGwbAZFTTKtaQiwEtjSzMgqXVpxjzshlI3m7y9v4VPQBBf8+9C+DwgZZNbnQz1t/pn5QfZ5v83zmMVqu4PwemB8KO961XB/Ng3WPmnVMrRhnN33XdMqUKEPPuj0BqFyqMo+3fJwxBzaZm77nImBVfzjyB4S/gIr8lWQNpyvdYt/zEsWetc0rS4GqwOks6eUs2wo3OtBFpOgU3lv5Ho0qNuLJOU9SIaACWmsuJl4kwDeAD1Z9wOe3WZqqAzHBKqu81s5LHaCbleU4B84eYM7eORx48QDdQroxaM4g7rv+Putb0TY+bf7JV+5m7qhejoKtw+D4bFNJqfuodcexoZ2nd7I0cimxV2L5YuMXaekJSQlM3DCRb+78xvaZhtwP0f9C5G+wNUO3pJI10tfrEMVJsY5L646tY8nhJbSo0oIhi9Jnp7uQcIEftvzAMzc8k+t7LyVeIjEgkZODT4KZIZhudOMAB9CBmiNxRwrXinYOWD0QIn+B8s2h2XAz9qnOg3B2o+ne0+LdQpyt832+4XOSU5IJ+ya9F8rZK2dZfGixbbo5Vu0BDV6EfZ/Bjgzjcf0qQrsfpWuie3DPmJPPdcuqo6tYeXQlYdXC4BwM+c/Em282fcP4HuN5rOVjOb+f9OWIfu37Kw0rNqThxIYM7TQ0355GkXGRaK2pHVg7z/2KLPx5M26qUido/DpcPWmuD6L/hUPfQ/3c4yiYuBB1IYobvr0hLe1i4kUi4yJ5/+E/8FszAKL+Mg+LTxJrcjziTz7p1cFupyWKP2sraLn1YK4AXLJdcZxDoXi94+t8ufFLtp7aysttX2bXmV2U9y/PW53fYtiSYQzpNITqZauDHZYaGrNyDM+3eZ7y/uXpFtItrRXtoRYP5f/mS0fTuzV2nQ2+ZSwn5QMbnoQjvzulgta4UmM2D9pMcrbZiKFWOdt3EQXMRB7tfzFjMY5MNbOcVeoMdR+DEuXtk6dwpmIdl6qXqc573d/LlBZ7OZaLCRfzbdWfFD6JDT9tYGinodz+++382OdHnpv3HHue32NmpI0w6zouHri44AVLHfzeZSaUrpN525Hf3baCtvDBhZy7mn1au3J+5WyTgVLQegIE9zEV3MRzEHQD1HsS/Cvn+3bhEtwz5uRz3VKzXE3G3JQ+0UPq7LCvd3ydVlVb5fne1NazjjXNsIKnWj/F2FVj+eqOr3J9j9aah2c9TFJKEqseXZXrGlVFduUUnFpsZlnsOjt9LVPvANPLKPL3fCtov/X7jdOXstbHoaRvSfwqNYHbd5nu3ud3c+DqVd45dpz3/7eQZl824/WOr1O1TFV7nJnwAHlW0JRSsy0vNfCrUipjvxpvoBmwxk5lcxilFB1qdGDsqrHULFeT2oG1mbZzGpNun0Tvhr05dO4Q7696P70VzYYytp6lGtltpPWtaNcsM/v6V06vnAGUsUxFmnGdHAfyUl60rNrS8RkrBdVvNw9RLHlKXKpRrgZDOmVe1+mRWY9wZ8M7+XX7r4zoNiLHAfyXEi8xfs14Fg1cRLPKzWgb3Jbn5j3HW13eSosnDzZ/kNErRheuFS0lwYzdCAjOvu2ac+KNLdQNyj59s80pBdfdZB7CbRT3mFOzXM1MsSZr3MlNxtazVP/X/v/ybUVbFrmM6IvReHt5s+jQIm6pa6fugNcss7CWCALf8unppS3fdSviVc1yNalZrmbuO5SuDaHvk6JTuGtSc8bdMo5qZaoxsMVAPlz9IZ/0krHronDya0GLtTwrTOeWjINgE4FVgPusNJiHUctH8UbHN2hQoQFPznmSSiUrcWeDOwHSBoWmtaLZ0OSIyVy6dolWX2e+S3U47jDLI5fTvU73vA9Qpr4JPvGHzBpdte6F5Kuw+2OzvWJ7m5ZXCBfgMXEpowNnD/DP/n/Y/8J+BkwfwI9bfuSpsKey7TcpfBJdanWhWeVmADwS+gh3Tb2Lt5a8lWmpizOXz/Dt5m8LXkErf71ZrHTPx9DkDdAppPXsqiDxRhRLHhlz8rP40GIi4yJ5aGbm3j6XEi/x09afGN51eLb3aK0Zudwy3s3Lh5HLR3JznZvt04pWOgT8q5iJwg7/DHUehuQE2POR2W7D66MZu2ZQqkQpetXrBcAbHd+g6ZdNpRVNFFqeFTSt9aMAllXvx2utXbcJvwg2R28m/EQ4U++eSgnvEpy9cpaW17Vk0aFFafu0DW5rl1a0YZ2Hmf7dWSgUIeVD8j+Atz80eR0ihpg1uraPhIQzZkyaTxlo9JJNyytsx9vbO20tDW9vbyZOnEiHDnn3Wdda89JLLzFv3jxKlizJ5MmTadUqexcUrTVvvfUWf/75J97e3jzzzDO8+OKLads3btxIu3btmDZtGv379wfgscceY+7cuVSuXJkdO3bY9mRtyFPiUlajV4zmhTYvUN6/PCO6jmDAjAE82vLRTK1olxIv8eHqDxnaaSj/HfwPgJI+JWlUsRH9G/fn0ZaZuztXKlmp4AVp9rZZoHXrUDjwjWlR47iZzbGpdXfeheuyZ1zq3LkzFy+aiWROnz5NmzZtmDVrVp7vDwkJoUyZMnh7e+Pj44Ojl7kAz405+elZrycHXzyY47ZqZarlmJ7aenbf9fehULyz4h37taJ5+UKToWbdrnWPwK6xkHDWXCN5l4SGBVggPg+pMz3e0eCOTNeNrau1llY0K9gz5jzyyCMsX76ccuVMV/XJkycTGhrKsmXL6NOnD7VrmzGQ/fr1Y/hwc0PBFWIOWD/NfiGn/HIPqa1nAb4BXE26SvMqzVlyeAmXr13OdFfHz8evcBnkMUA3wDeAOoF1cthYAI1fB51sBuhf2GPSyreANl9nHyMiXEZAQAARlpXvFyxYwNChQ1m+fHme75k/fz779+9n//79rF+/nmeeeYb169dn22/y5MlERUWxZ88evLy8OH06vQ99cnIyb7zxBj179sz0nkceeYTnn3+egQMHFv3kHKC4x6WMMraeAbSv0Z7GFRtna0WLuxpH62qtmXdgHvMOzEtLDy4bTGBAYNFjTSBQ6x6yDcMpHQddZmVef1C4JXvGpZUrV6a9vvvuu+nTp49V71+6dCkVKzp/2nKPiDkFmAjNS3kVKKZkbT0DGN5luH1b0Rq+CPqameX6wl6TVq6puT4q18gmWVxNukqdwDpsit7EpuhNmbZZu46cJ7NnzAEYN25c2o3ojDp37szcuXNzfI8rxByrF8lSSj2KWfujJpDpL05r7ba1gC3RW/hn3z90q9WNr8LNoNaBzQcybMkwnmr9FPc0vafomdhhYpFMlIKmb0LDl+H8TtNyVrahzApmK0GYTi1ZBWKz3+2FCxcIDMxrKlDj77//ZuDAgSilaNeuHXFxcURHR1O1auYuFJMmTeL333/Hy8uspFG5cvokBJ9//jl33303GzduzPSeLl26EBkZWfSTcaDiGpeyGrNyDI0qNmLqjqlpabXK1WLMyjE81vKxtGn4q5etzvwH5tuvIBn/3pMTzRpAygfKNwN1h/3yFdm5YVxKdfHiRZYsWcKPP/5YqPc7U7GPOXa8Xll+ZDnrj63nnib3pF1vJacksyV6C4sPL+bmOjfbPlOlzOzW9Z8z8cqnFJRtbNPro5K+JZl93+z8d3R3bhxz3JFVFTSl1GBgKPA10AX4EqhneT3ebqVzAD8fP55o9QR7Y/dmSv9f0/9RqVQhuv84k09JqHBD/vuJgslnmYTCunLlCqGhoVy9epXo6GiWLFmS73uOHz9OjRo10n4ODg7m+PHj2YLSwYMHmTZtGjNnzqRSpUp89tln1K9fn+PHjzNz5kyWLFmSrYLmbopzXMqqddXW+Hn7EXEyIi1NKcXdje8mRac4p1DeJSAo7xnehB25YVxKNXPmTLp3707ZsmXzfb9Sih49eqCU4qmnnmLQoPwXTrYXT4o59lC6RGkeCX2EHaczd6Ef2GKgbRaDz4tPgFwfFZWbxpxhw4bxzjvv0L17d95//338/ExvuLVr19KiRQuqVavG+PHjadrUrEXpKjHH2ha0J4FBWuvpSqnngYla60NKqbcBO82Z7hhNKjXJczpYIewlY7P+2rVrGThwIDt27Mizm4fW2aNjTvsnJCTg7+9PeHg4f/31F4899hgrV67k5Zdf5oMPPsDb2zWX6ymgYhuXsnq+zfPOLoLwEPaMS6mmTJnCE088YdX7V69eTbVq1Th9+jS33HILjRo1oksXp60J7TExxx7CqoWZtdaEyMCeMWfs2LFcd911JCYmMmjQID744AOGDx9Oq1atOHLkCKVLl2bevHncdddd7N9vhhC4SszxsnK/YGCD5fUVIPVWxxTgblsXSghP0759e2JiYjhz5kym9C+++ILQ0FBCQ0M5ceIEwcHBREVFpW0/duwY1aplH4wdHBzM3Xebr2bfvn3Ztm0bAOHh4QwYMICQkBCmT5/Os88+y6xZs+x3YvYlcUkIO7J1XAKIjY1lw4YN3H57+lIoeb0/9bly5cr07duXDRs24EQSc4SwI1vHnNRWeD8/Px599NG0+FG2bFlKly4NwG233ca1a9eIiYkBXCfmWFtBOwmkjpY7AqTOTVqPnBs8hQMkpSRx+Nzhgr0pMQ52vg//dYFFXWHXuPS1QoTT7Nmzh+TkZCpUqJAp/bnnniMiIoKIiAiqVatG7969+fnnn9Fas27dOsqVK5djk/5dd92V1k1g+fLlNGjQAIDDhw8TGRlJZGQk/fv358svv+Suu+6y+/nZicSlYujExRNcSsxhkrz4SNj8KixoD0t6wqGfICXJ4eXzJLaOSwB//vknd9xxB/7+/mlpub3/0qVLabM+Xrp0iYULF9KsWTP7nXD+JOY4i06Bo3/CsjtgQTvY+Fz6pB8uID4xnuiL0c4uhtuzdcyJjja/E601s2bNSosfJ0+eTGuF27BhAykpKVSoUMGlYo61XRyXAL2BzcD3wCdKqf8BrYA/7FQ2kY8J6ybwweoPOPzSYUqXKJ3/G66ehv86w8V96WmnV8DhyXDzCvCrkOtbhe2l9rsGEzx++umnfLse3nbbbcybN4969epRsmTJtEH2qdu+++47qlWrxpAhQ3jggQf45JNPKF26NN99912+5bnvvvtYtmwZMTExBAcHM2rUKB5//PEinaOdSVwqZlJ0Cr1+7UXHGh2ZdMek9A2x4bDk5swLy55cCMdmQqfp4GX1fFciH/aMSwBTp05lyJAhVr3/1KlT9O3bF4CkpCTuv/9+evXqZatTLQyJOc6gNax/Eg79kJ4Wu9783HUuXJfPerEO8PK/L7M5ejObBm2yz2yUxZg9Y84DDzzAmTNn0FoTGhrKV1+ZIU3Tp09n0qRJ+Pj4EBAQwNSpU1FKuVTMUTn148y2k1JegJfWOsny871AR2Af8LXW+po9ChcWFqadtf6Aq7uUeIm6n9UlpHwI/Rr34/WOr2ffKZcZd1JKx+G1axmQAluHman5G7wIYZ/audSuY/fu3TRu3Ni6nR0wc1FxkdPnqpTapLW2+cADZ8QliUlFlM93acauGYxcPpLD5w7Tr1E/fu73s7k4+7c1nNsCVW+Fxv9nWtMi3oDEs9D+Z6j9UA4HdT8Sl2zPljFJYo6Fo//2TvwLy241a5eFjuWMb1W2rBxED984KFUL7jwIXs4bV33o3CFu+PYGqpauynvd36N3w95OK0tBScyxPVvFnHy7OCqlfIH3geqpaVrraVrrF7XWE+1VORN5mxQ+ic61OvN97+/5aO1HxCfGZ98pdcYdDaRokqaWht8UXvHlSa5+J9ToBx1+M/semeLA0ruZs6R/jhkfEpCcRuKSm8oYkzI+zqUv9jqy60gApu2axp6YPXBxv6mclQiEzjPgupuh3hPQ4j1zzCNTc8qp+JO45FASczLI43tsF6nf8aZDoeGLjNqznHujkznnXR4uHYHYdXbK2DrvrXyPZ8OeZfRNoxm5bGSOE1gUCxJzHCrfCpol6DxLkSfSFAV27SIc/B4ihsKBbyDRdO+5lHiJ8WvGM7zLcJpUasKNITfy5cYv8z2cV1L6uI4/d/1pXpSsaZ6TLtq8+ELYi8QlG9AaTq+EbcNh+7sQt92pxZm5eyYlvEtwJO4I3UK64a28GbpoaHps8q9spspOVcoSu65J7BL259ExR2s4vSo9VjhaagwoWZNjF44xZccU5j+4kD2XLTemnRgDDp07xMw9M3ml/Sv0adgHjWbOvjmZ9im2FTZhV9ZOErIAuKkoGSml/JVSG5RSW5VSO5VSo4pyvGIvZj3MrgPrn4Bd78OGp+DvEDi1PK31rEmlJrT5rg1danXJvRXNYsXRlWxO8kv7efTyUSQnJcLOMSahYkc7n5DrkaBpW074PIsUlzw6JiVfhRV9YFEX2PEubB8O85pD+AvmYswO5u2fZ7JOSc5x+6jloxjaaSjj1o5jzE1jeDrsaf49+C97r3mBbzkzIcARyzCfa/Gw52PzulIHu5TXWSQu2Y4dPkvPuxZKToCVfWFR5/RYAbDxWTNxhyNUtHzH933OpytG8kTLJ2jnc4m2fkkk4Q1BrR1Tjhyktp4FBQShlGJE1xGZWtGWRS6j+VfNSUxOdFoZ8yMxx3Zs+VlaO7J6MfCeUqo5sAnINMWW1vovK46RANyktY63dBVYpZSar7V2btu0K0q9eEqIgaAboNptcPI/iFmDXtGXL4548VS71xiyaAhJ5/fgtfVNfq4I2xfeSftu30PpOtkOOWr5KF6v8xxEfQLA0vIHSfyrCgFJcaC8oNkwB5+kc/n7+xMbG0uFChUKPqBXp0DCWUi6ACjT9cq3HHjwwGCtNbGxsZlmZnOAosYlz41J20bA8TngWx7qPArJl+DQZNg3EQJbQt3HbJNPSjIc/xsd9TfsnwOc5c/tvzKgxcPZdj116RTz98+ndvnaRF2IonmV5iSlJDFk6TvMvP51M1529b3mOeG0mX22RCA0KD5rxBUpLhWU1mZW32txgDYxrESg+X9QDNgpJnnetdD2UXDsb/P3UedRSL5i0vdPMrGi3pP2L0Pdx2DPJ3A2nJEp4fiVrQdLPsQL+OaiL/dqHwLtX4psDp87zC/bfuHbO79l7r65AHgrb6IuRDF772x6N+zN20vf5lT8KX6K+IknW1s+q6QrZljJycXgXQKC+0L1O5zy3XNozCkursVDYqyZRdinlJlgz8vX5jHH2graRMvzizls00C+ozO1qVamNvH4Wh5Sbc/Jsb/h6iko3xx6rDEzlF0/HBZ2RMWu49Xqocw/spIKZxazsWoiPsryMV5YBnMbQ8epUKNv2uFWHFlBZFwkN3X4F46bWYErqWuQFIcuXRfV6iOocqMTTtR5goODOXbsWLa1NvKlk81smClZ7oZ5B4BfJY+upPn7+xMcHOzILIsUlzw2JqUkw8Fvzetuc6GSpfW8QltY/zjs/8o2FbTkBHOjKXoBCrjN1yQ33fo0yQ3vwNs/86yxraq24tftv9Kmehu+CjczbXWv3Z3lR5azp/t7NGrhBbs/hPgDlvK2gzZfQUmH/s3ZVaHjUkFpbSq5yVczp3uVAP8qxaaSZoeY5FnXQjoFDn5jXnedDZWzLNa7/yvHVNBKBMLNy9g7vxsNk46bGOBTGhq8QHjkCaLXTWDUjY5viDyfcJ5b6tzCHzszT+DZtnpbrqVcY8nhJZy+dJoZ/5vBQzMf4uHQhylx7Tws6Z65S/mhyRDcBzr9CV6+Dj0Hh8Wc4iIxLvNswmDipX8V8Cph05hjVQVNa22TaK2U8sbcdaoHfKG1Xm+L47qF87vgygko2yj/C4pLkea5yk3p00crLzOVbOw6nm96J1WTq3PHrvn4KE1UYBe+OhHJ6IbtUEf/gLUPQZVjEFgeFHShCwc5CC8B9OdswFm6R/mSkHKNKY/8SYuqLe133i7K19eX2rVrF/yN658w4wJL14FGr5q+8bs+NLPJtfoYGr1i+8KKHNkiLhX7mJSSBLEbIeUqBIWBbxnzN5t4zsyIVjFD98DrbjHPl4/YJu89H0P0ArRfRSacL8FN9W6jeek4rn/4CmRtQAuEl9u+zL8H/mXjiY2ZNiUkJTBj918M6zIMGr4EF/eau/mlC/H9dXGFjksFtWM07H7b3FRq8oapmO0eB5ejPG5G34LwuGuhpHhIiAUvP6jUOT09MAUeyKFOac9mrDL16HQkgTLXfKjs68WBa9e4tP8TklKSqBdUzykVtNDrQpl7/9wct2mt6TK5C293eZvOtTrTsGJD04qWuNpUzkrXMzPSJp43N56O/W0qvA1fcOg5OCzmFAdnVsN/nUB5m/9F5a+Hg9+Z9PLXw61bbXqT3qGLx2itk4FQpVR5YKZSqpnWekfGfZRSg4BBADVr1nRk8ezj4kFTYYpZa0lQUPN/0PYb8C2b83vKmEWFiZ4PyWPB2x9SrsGJfwBIKVWXHUve4O5SGq7rQfCN/zLvm1a0qXAffa6egtPLIWoGnDVrWCWnJGfq/xxAAGs4j1IKfx+Hdklzb8mJEGmZ9bLrP1CukXldpj6svNvcBZMKmlsp1jHp+D+w8Rlz0Q3mjnOTIebhX9m0BJ/8D6r2MNuPzTLPZerbJv9DkwFYX+MZfjozm5c6f406uh3mBxKvvQgYcBVv7/S7xT3pyeU3L+d4KD8fy/hZnwAIDLVN+TyZ5XdD+1+gWk/zulJHs5zB4Z+g9QSP7g1gb/nFHZeJOT6lwf86uHoSov+Farea9LkD0/8XguniFfqh7bpG5+L4/x3PcQyrjwuug5jaejag2QAARnQdwaMz7uOJ606ZWWa6zYOyllhbuo7pvn1ossMraKIADv1knhu9Ci0/MK9r3guza5tK97nNNh0P6ZS/aq11nFJqGdAL2JFl2zfAN2DW/3B86Wwo6ZJpyr50xIz1KH+9WVzx6DSzrducnN9X7XaztseFvWbgftWecONoiN8CmJldRlhuQeuyl7kac5XXO7zOyBWj6B3WFXV6ubn4svD28ibAKyCnnERBJMWbLkE+paBsg/T0QEsLZIbPXLiXYheTYsNhxV2gk6BUbdNF6Nxm2PaWaUWr/xxsH2G6INb8n4lHUZbhM/WLOKYrba2cvQC0AyJ4B/2m5kp0HfyVD6VJYtqOX7m3xaOZ3hrgK3HKIVJjVVCG3hPlrzc9Na6dN124vf1yfq+wmdzijsvEHOUFDZ6Dds/CpaAMG341j9JxMLWj6SG0/nFTUQvuY7filPAuYUUnUufTWjNy+Uhea/8a15KvcS35Gi2va0mTwBqolKPgUwbK1Et/Q+o1RIJcQ7i01N9PYIa46RMAZRubYUk2vgZ0WEdzpVQly90ilFIBwM3AHkfl7xRHppnKWblm0CcSblkBt+0wd6VOzIW4HTm/z7sEdJ0LpULMGkD7JkJ8OfgrGGI389isx7jn4xLwm0JdKEmd8YE8NvsxzsUdIDl1lrOMf0DCNkoEmmUJki5lvnt44GvzLJ+5WynWMWnPR6ZyVvcJ6H0Abt1kWksAdn0Ajd+A2g+bGw6HfzYt7kpBsxFQ696i5Z26RtKim+A3xdgv/AgYHYA6p3j16yCUTmJfomL+oWVFPElRaKkVs/1fp6cd/N6MOSrbWCpnduR2cafJEFM5+01lfvx3I8SXN9c0zS1T7+9836lFdRWxV2LZfmo7L/77IkEfBqU9FhwLJ4YA0808dW03rdPH+ck1hGtL/f0c+sH0agNzHX9mlbmZUf56m2bnyBa0qsBPlr7XXsAfWuucO+8WF2fDzXOdR6FEOfO6bH0zK+PRP8z28s1yfm/5ZnDnPjgxDy5aBsX3PgTeJfihzw+Q8o1pXQOi65c0A+Zj1sLVaDO5SOp4EmE7SkHjwbDpBVg70FTMrsVD3FZAQePXnF1CUTDFNybFWmJPwxfTJ3wIeQA2v2zGwiaegfaTocnrEP2fGZhe/U4oVcN2ZWg8GE4tZWj5RIbWNv/YvqyYBECDzt8yue7jtstLFEzjwXB6hZky/dgsMwYtdbHfJq87tWgewL3iTmr3wdt3mS7Rm14BUqCrpQeQUmY8zra30695PFzFkhWJGxKX88Y9n5o4vOZ+2P+lmY02bhugoNH/ObCUosDqPmlmEz35H8yuZ+aUOL3M3AwNecjmE1Y5rIKmtd4GeNbtgRKWLgEXdqenaZ3+c4mg7O/JyMs3c3cB7xIZtvnAjf+a14nnzHg1MAN5O04BLzfoB1BQaV2nsgjEcSvZN3jOTAiya6wZGArm99h6AlxXpOVxhIMV65jkF2TmiTu/K/2u3pUTZgYq5Z0+/rVcE/Owh2q3QtvvYPNrcM50z8a7JDR7G+rYd6xKoblCjHGE6ndAm29gy2DT9RVM1+1mw03LqrAbt4075Rqbx84xpivX+V1AG7Pt/C7z7JfPNY0juep3ueGL5hpi94em5QVM19DWn0GVbk4smMhXyWrmunvNgxB/EC4fBRTUut/MKGxjrjeysjgJecAEs4PfmwuiSp1M17i47Wb2rKo9i3b8UpbBw7dGQPxhKFPX5k2sLiW161RWjhzLrpRZ8qDB8xCzxtx5rtTZ9EMWwlWEPASxGyD8Obhy0lwA7B5nlomocXfuExTZWt3HodZ9prUGoO9xKFHeMXkXhivEGEep9ySE3A+nV5q/i0qd0nt6CJGbkIdMF+rV/wMi4cB3sHN0+jZX4arfZaWg+SjT6ph6DVG5i5kMTri+iu1M77YzayxrFbc0c0bYQa4VNKVUClauzaG1LobNNYUQH2lmwLocBWUaQp2HzcxGEa+bKaf3fGz28/aH9j/brp9/YAvzEI7jF2TuQguHkrhkpfpPmVnXTvxjutOkKlXbtPamij9sZqa6HGXujtd+GPwr2bYsPiWhWi/z2pUrZ57Ip1T670bkyONjTnIiUAI2PGWm26/aE04tg3ObzPYNlnXQgsJM67iwjlxDuC/lBZU72T2bvFrQ/kd6UKoCvAPMBFLni28P3AWMsFfh3ErkVFg3MH3gIJi7Sl3nQI91Zq2EKyegXFOo95Rp7bKW1lA+GVQOvy57rjsihOuRuGQNL1/o8reZ/CNqBiRfMYvR13ksvZUk8ndY+7DpP59qx7tmCYnC/vNJToTyClQOi61KrBLuyXNjTsJZWHILlPoP2maYUIbbzVOZixB8l6lohDzg/Faga/FmLKXyBbo6tyxCFJEyi9rns5NSs4E5Wutvs6Q/Cdyltb7dHoULCwvT4eFuMOj08gmzDkJKItS8x1wIHZ0Bpxab1cX7HCl8a9m5bWYdtbht5mflBbUeMP1dfUra7hzcgSL3LgvuMfm5R1JKbdJah9nhuA6PS24Tk/Jz+RjMrmNuKNW813SxiZoOp5aadY/6RBY8Zh39E8JfMNMNg5mttumbZhY4d1lTS2KMRyhsTPK4mLPuUbM2V6laZmmOxHOw7zMzk3Hb70wXZlegtZm8YftIM0MimIW0D/9uuvFmJN9l4QSFiTnWTrN/E7A0h/SlQLeCZFgsRf5mKmfVe0OnP6D+M3DjAjMe7OqptAWmCywhFpbcbCpn/pWhclczwD/yF1j/hHXHSDwPeyaYhZTXDDSL11pRKRfCDUhcKqzI30zlLLgvdJoKDZ6FG/8zLfypi9IWxOmVsHqAiXclAs26j0nxsPVNOGD7wdNCOInnxJykyxA5xby+cSE0GQyh70Hrz03awR+cV7asDk2GLa+ayllgK7NUBJjJHE4uzv/9WsOJ+aZHwcq7YffHZkIlIZzI2gpaDNA/h/T+wBnbFcdNXYk2zxXbpad5eUOFNpm3F9ShHyHhDFTsAL0j4eZl0GuzGVR6ZKoZ85aX+EiY3wI2v2IWoY38BZbfYVrkdErhyuRMgZi7X1kf0nXKU0lcKqy0mNU2Pc3LGyrckHm7tXaPt8QUL3OX/Vpc+ratb7vPTSGJMSJvnhNzEuMgJcHMUlymfnp66nVOYa9rbE1r2GVZf+2GL82aj7fvhLKX4YEUqNo97++yToF1j8Cy2yxrQv5lKnvzmkP8IYeeihAZWTuL43DgR6XUjaT3u26HWWDRRdq4nSh1LbMj06DRK6YfdkIsHLcsbVIul7XO8nPWMgi37hPpswSWb2a6UEYvMFNXlw7J/f0bnzULZQeGQsOXzRi4nWPN3fOqPaG2C824ZI3iNM21sAWJS4WVGpOO/GFmE/P2h6sxZt3FjNutFbvR8iLFTDkc3BtO/AuHJ0NiLJzfDeXtNJ2/LUmMEXnznJjjX9nMNp1wxrQuVb/NpB/+2TzntoaroyVdgov7zI3rupYJS5SC6LMwq5SpYPaPzf39R6aZc/IpBU2GQskasPdTs/zEhqfhpoWOOQ8hsrCqgqa1/lkptRd4EeiNuQ+xC+iotV5vx/K5h1r3mkUa47bCnAbmDtOpJaaSFhRmxncUhl9F8xy3PT0t5Rr0ngrx5bPvn3F9jyunzNpoXn6me0LqzGx+FcxsTId+cr8KmhAZSFwqgloDzCLF5zanx6yTi836PBXaQKWOBTueskxeV64ZdPjVXCAFhZkKGkCt2nAhh/c5e00iIQrAo2KOl49Zs2vb27Cit7mpm3A2fUHzRq+k7+vMNce8/c36ismX4eJ+MxstpF83pV5H5ebwT+Y59EPT1Rug+u0wK9gsSHz5hFn/SggHs3odNEvwecCOZXFfPqXMmLNV/eHCXjgaZdIrtodO0ws/QD7kIdg30QzK9fKFoFam33f8Avi7LtyxL/OC1BmzSbRExYDrMk+bXc6yTlpCTOHKJIQLkbhUSL6lTcxa2d/cfU6LWR2g058Fj1mBLeDKMbh4wNx99i1r1l1LdSHANdckEqKAPCrmNBlqFqXe/2V667pPGbNUR5Ub0/dz5ppjXj5mIpCD38Hy3tDkDVNZ2/me2V4nn4XXU6+FMq4h61cBAqqbxYgTY6WCJpwir3XQrF4SXmst90DLN4Pbd5nB8pejoGxDcwe5KLOXVWwDzYbDjnfMqvMZtf8lc+Usq9K1zUD9S0fMxCDVbzd9rfdPMtuDWhe+XEI4icQlGyp/Pdyx2ywiffkYlG1k4kJhYlaD58xkSClXzZjXVMoX9LXc3yeEi/PomOPlDWGfQZPXzbWNtz9cdzP4lnF2yTJrMRZi15tWs9R12QCq3AQNX8n9fWBi3tlN5tqoYgdzzicWmMqZb1koXYAlkYSwobxa0GLIfzLS1AlLi9/ijIWhvKCKjdfeaD4KqvYwsxRdPW3GkwFU6pD3+7z9odHLZtrZ5XeYLktXos2gV68SZpsQ7kfiki0pL6jSrejHqdrT3JA6G27WaywRaGZUS74K5dxg7JkQuZOYUzIYQu5zdily51/RrDcb+StELzQxKLiPWfbIK5+OYg1fMkM+jkyBmHWmtezMmvRtnrackXAZef3l3pjHNuFIlToWfEwIQNO3zFS5ez+FM6tNWska0OabzM35QrgPiUuuSHlB17lmhtiT/5mJBcAsDdLhV+eWTYiikZjjDnxKQr1B5lEQ5ZpA1zlm6aJLh83DqwQ0eAGaFb+1x4X7yLWCprVe7siCCDvw8oaWH5juCbEbzcKxFdvlf0dJCBclccmFBVQxM55d2AsXD5oZZqX1TLg5iTkeoOot0PsQxKw16zcGhZlWOSGcyOordaWUH2ZgbBNMU/5OYIrWOsFOZRO5SV2rJ6f0nPhVgGq97FggIZxD4pILKtvQPDIqaMwSwkVJzMlBcfh+e3lD5U7OLoUQaayqoCmlmgD/AmWB1DnfnwRGKaV6aa1326l8IifFaxiyEIUiccmNSMwSxYDEnFzI91sIm/Oycr9PgS1ATa11Z611Z6AmsBWYYKeyCSFEXiQuCSEcSWKOEMIhrO3i2BG4QWudttSo1vqCUmoYsM4uJRNCiLxJXBJCOJLEHCGEQ1jbgnYVKJ9DejnLNiGEcDSJS0IIR5KYI4RwCGsraHOAb5VSHZVS3pZHJ+BrYLY1B1BK1VBKLVVK7VZK7VRKvVTYQgshBEWMSxKThBAFJNdCQgiHsLaC9hKwH1iJuUt0FVgO7ANetvIYScCrWuvGQDvgOcuAWyGEKIyixiWJSUKIgpBrISGEQ+Q6Bk0pVROI0kYc0EcpVQ9ojJlQdZfW+oC1GWmto4Foy+uLSqndQHVgVxHKL1xREHAuh/RAZLYnUSS2jEsSkzyIxCRRSHItVETy3ROiUPKaJOQwUBU4rZRaAvSzBCGrA1FulFIhQEtgfVGPJVzQOczqMFnltE6KEAVjl7gkMamYk5gkCk+uhYpCvntCFEpeXRwvAqlLqXcDfG2RoVKqNDADeDnjTEgZtg9SSoUrpcLPnDljiyyFEMWHzeOSxCQhRB4cfi0kMUcIkVcL2iJgiaX5HWCmUioxpx211jdZk5lSyhcTkH7TWv+Vy7G+Ab4BCAsLy+m+iygInQInF8HpFeBTCmr0h7L1C34c6aYgXINN45LEJBeQkgzRCyBmDfiWgZr3QOk6tjl2xriV8Y69xC1hPYdfCxXbmBMfCUf/gGvngTHmu+/lbd885dpFuKm8KmgPAY8B9YCuwF7gcmEzUkop4Htgt9b648IeRxRA4nlYfiecWZmetvVNuH4kXD+iYMeSbgrCNdgsLklMcgEJsbDsNojdkJ4WMRRC34cmrxf9+KlxS5E5fkncEtaTayFb2PMJbHnN3DQGYAwsbAvd5oN/JfvlK9cuwk3lWkHTWl8BvgBQSoViZh2KK0JeHTGBbrtSKsKS9qbWel4RjinysvllUznzrwy1H4GrJyHyV9g+EoLCoPrt1h0nyPKcNaAF2qykQljFxnFJYpKzbXzWVM4CqkHtgXDpKByZAhFvmBh1XYYGCbkTLpxAroVs4PRKCHsYLr2SOf3WcChzEbJ1LBdC5NWClkZrfWNRM9Jar0LuWTjOtQsQ+Tug4OYVULahSS/bGLYOhf2T8q6gpVyD/V9D5C9wzjJ+OWYjVLghfZ/cfpuBuWxzRIVOLuI8RlHjksQkJ7t6BqJmgPKBW1ZD6RCTXroO7BwNB77OXEE7B8Qfgd3j4eR/oHwh+C4IfTf/vHKKSQrbxiSJPcWeXAsVQiBQpXMO6SnwZQDclwCXT0DJatn3OT4X9k2Ei/uhVAjUfwZq3A2qgB9fbt/NIOS7KVyWteugCXdzJRpSEqFUrfTKGUDVW8zzpSO5vzclGVb0g00vZO56tLADHJuTf95nMV0Ksj4cEQhTuzNkfeQUnIUQznP5GOhkKNsgvXIGeceof8PMBduFvXB+h6nIgekqmZesMQlsH5Mk9giR3VlgoaWCFr0kw/WAl7lhDCYWZLXrAzNEI3oBxB+CU0tg1T2wdVjBy5DTdzM1XQgXJRW04iqgOngHwKVIOLslPT1qlnkuk8dEIVEz4MRc8KsAHaemp+skCH8WUpLsUWIhhCcpVQu8fOHCHji/Oz09rxiVEANVboIea+GmRVCuqUnf9YHdiyuEKKTU7/KxmelpF/abmyyQ+QYNwOXj6RWxFmPh9p3QagIob9g11tygEaKYs6qLo3BDvqWhzmOw/wtY1BVq/c+0qp2wdHNv8Hzu742aYZ6bvg217jWvAzU8kMNIWxmHJoQoDL8gCHkADk2Ghe2h5v9Mq9nJhWZ7/WfT9026AgSA8oIOv0NAFZPe5mvzfHQ6tPwwex7O7G4thDBSv8v7JpobMqXrwNE/TQs6mHHyGR3722wL7gtNh5i0ck3g3BY4/BNE/QVNh1qXdyCmpSynMfTSgiZcmFTQirOW4+ByFByfDQe/N2levtDyo8xjO7JKvmqe/YLS084q073o7Ca4abF5v0L6bwshCq/1Z2b8ycmFcPBbk+blB2GfQ6X26ftpS6u98gHfsunpJSqY55SrOR9f4pMQzlchzDx7+5tlf1JV6Z7z/jldg4Dp1ZNxuzXOkn0W11SeMxJQuCGpoBVnPgHQ9W9TqUpdB616n/S7z7mpcqOp1O0eZ14HVrcMyg3PvJ+n34WWSQGEKBrfMnDjv2asa8wa8CkDwX2yT7vtWwZKnzcTCtyXcUMjKHUWKhd57gbXJrFGuLtAYMCVnNOzqmL5Ph+ZBnUeNzdrzkWY1vaM2z2JxACPU6QKmlJqEVBba13XRuUR9hDU2jysVfcx2Pc5xG2Hv0Pg2/Lpg/CbvwvN3rJHKW3DkV2aZH0VlyRxyc0oBRXbmkde9q6BZbcD2lTk9DVzJ92nFDRd55Ci5smesUdijUuTmGOFglQiglpCjf4QNR3+62C6QF49bbZddwtU7lqwvItDV2eJAR6nqJOEbARW2KIgwoX4loWbl5vpbMFUzkoEQem6sOtDmF0fdr4HyQnOLWdOnDmDpHAVEpeKo2q3QrufTCxKumgqZyUqwA1fQflmzi6dxB7PJjHH1jr8Co1eNTdjrp4G75JQ/znoMrPg0+zn991MPAdbBsOsGvBnICy7A86sseHJCFFwSuucquSuISwsTIeHh+e/o7Cfaxdh3xdm7bSsqvaCrnPBy9vx5XIFefVrd92vlcMppTZprcOcXQ5bkJjkRFdPw4K2ZmbajLwDoPvS/Fvg3JnEGptyp5jk8TEnOcF89/0qmmEbtnbtIvzX0fQYykj5QNc5UK2X7fMsDIkBbq0wMafALWhKqdJKqdIFfZ9wUToFgrT5kmd9BGFe7HzP7Nt8NPQ9Cd3mmWAZ/a+Zjl8IJ5O4VEwFkR6PAirDXYfNbLLPXYPeh6DmvZB8xdz9FsKBJObYSMbveLbrD8DbD0rVsE/lDGD/V6ZyVqYB3LIG7oqCek+ZiYk2vwJFacRISS7a+4VHs7qCppR6WSl1FDgPnFdKRSmlXlGqoG3NwiWci4Bld8JUPzinYFlvOLst+wKrp5eb7kQV2kCzYWaCkWq3QuPXzHGO/e20UxBC4lIxdw44Nhf+bQe/KfNYeifE+UDp2tD2WzPr45mVppuSEHYmMcfGnL3A+/E55jl0rJmMpGSwmUXWr6JZEuDi/oIf8+Ri+K8LTPWFP0rBmofg0lHbllsUe1ZNEqKU+hAYBIwD1lqS2wPDgarA63YpnbCPc1vhv06QdCk97fgcOLXULACbcTxH6jolXiUyH8PLL/N2T1QcBh67MYlLHmL5nZl/Tm21T4wzcUhZ7jPqFIcWy6Ek1rgEiTnFUE7XOMrbLEmUcbu1js+DFXemx6PkKxD5K5xeBj03QsB1hSunxACPY20L2hPAE1rrMVrrJZbHGOBJ4HH7FU/YxbbhpnJW427oZ5kZKfguSIqH7SMz71u5sxnjcWYVHPgWUpLg7GbY85HZXtVF+mc7g0wK4GwSl4qzlKT0103fgrqDzGvvUuZ572ew5TVzARTUOn2NpOJIYo2rkJhT3FTtaZ63DYeLByHpCmwbAVeioVSI6fpoLa0h4nVTOWvwItxzAXofhApt4fIx2Duh8OWUGOBxCjIGbVsuaUWdCVI4ktYQvcC8DpuYvt5Q68/Mc/S/mfcvEZg+rf6GQTDNH/5tbYJNhbZQs7/9y3ztAkQvNC18BVmgUngCiUvF1fld5rlkMDQfZbpY+1WCZEvL//YRsP9Lc7c79H3Hli0lGU6vghP/wtUzjs1bOJvEnOKkwXOmInZuC8ypB3+Whp2jzbbQ9ws2CVr8ITi/08w42XSYZf3GOqb7JJh4IYSVrA0oPwPP5ZD+DPCL7YojHCK1q3zKtfQ0nXq3Ooc29CZDoe13ULahae73LWfuDt20ML0bgD1oDbvGwczqsLQnLL7JTIN7+Df75SncicSl4iyt66JloH2pmtBjjbkxlKpSZ7hpEVx3s+PKdXIRzKkLizrDslthVjBs+r/MLX6iuJKYU9z4VYBbVkHtgeDtb5k4LQy6zIZa91p/nKiZsLCDeZ18GWaHwPZRJnalXmvJMEVRANYuVO0H3K+U6gmkrgjaFqgG/KaU+ix1R631i7YtorAppaDaHWYByA2DzGDY8rWhTG3S5mpNjUmBGd5T93HzSL5q+morB9wsPPSD6S4AEHSDCXrnd8Lah0w/7uu6Z3/P6ZWwcwycWQ0+paHWfaYF0C8o+77C3UlcKs7KNYHScdDvRIbEesA6KHUWQj+EJg6evfH8bjMmLvkqlKoNJaubWLP3EzPLXIsxmfdPSYZ9n8OBr80kAWUbmJtbdR6RizX3JDHH1lxhbFXJ6tD+J2j7g7lZ7e1XsPfHrINV95ibSV5+kJJgul5vH2mm8T+5yOxX/c7cj3FiPux6H2LDTaWx9kPm5rivTBTqqaytoDUCNlte17I8n7Q8GmfYT+YTdQfN3zUBI/pfmFMfvrCklwgyk4SUzaPPtbe/Q4poWs8+MK/bfA31Bpm0rUNN+u5x2Stox/+BFX3SB/UmxZsLp5MLzZ1337KOKbtwFIlLxZnygt3LYWW/7BOAlL8e6jthIdl9n5vKWc17ocNvpvtT9H+wtAfs/Ryavgk+pdL3X/8YHP45/edzESbt4n4Ifc/hxRdFJjHH1lxpDJWXN1CIdV13f2SuO+o/a8b2L+uV3mqWOl6/dF1o+FLO7z/0M6x7OP3ny5fN8kanlkH3JQWvMIpiwaoKmtb6RnsXRNhREFmmrG1kEsrEw/c1LK1qt0Oz4VC2vnPKmFVSvLmI8SoBdSxjr5UyAXDXB3B2U+b9dYplzZJkqP+caTW7dBTWDTStbvu/dvzddmFXEpc8QHAfuGmxuVjpPRUu5dASHojjLvJS4079Z9LHplS9BcrUN/Hq4gEIbGHSYzaYypl3SXN3/rrucHQGbHwKdn8A9Z823TaF2/DYmJPtGsLCkd89V5YWF56F8k3h5hWwfTRE/2PSaz8MoR/kPJFRcoKZ7AjMZEgNX7L0FHoQYtbAkalQ5+Hs7xPFnlX91JRSIXls62Cz0gj7yG2dkYul4Z5z0P8sdPjFdSpnYGaO9C4JKYlwcV96etx28+xXMfP+F/aZCyT/ytB6gukCWbENtLDcpT4+2yHFFo4jcclDVOlmxrteCnLuekmQHndS4xBAwlkzaRJkvgBLXV+p7hNmMqUSgVDvCTNjrk6BE/McUmRhOx4bc5y9VpmryxoXKraDNl+YXgDKx0zIFlAl5/fGroeEM1C2MTR/B/wrQpWuZpIRkGsXD2btQKKtSqkHMyYopbyUUu8AS605gFLqB6XUaaXUjoIWUnggLx8Iud+8Xn4nHPgG9kww3YPA3JHKxNIFSnlnHh+nUicxkR4nxZDEJeFYtQea561DYMdo0zVpaQ8z3qRKdzPjZBpLTPLK0lFFYpI7k5gjsktt4Qp/1kxsdvB7WHqruRFT4+68x5HpDHEi47jUtHXYJE54KmsraG8AXymlfldKlVVK1cUs0vgYcLuVx5gMePCiWaLAQt83Y03iD8KGp0wXxqunzYxtjV7OvG+Zhmaq3CvRsHWYWeftwl7Y9rbZ7snrtRVfEpeEY9W8x9wcSrpkYsu6h033poDq0OarzPtWvdU8H/zOjFNLSYajf8KxvwAF1/VwePFFkUnMEdnVGwTVe0PiOTOx2fon4MJu0/W59Sd5v7dCW9O6Hrcddo83XR7PRZhu3QDV5E/FUyltZe1cKdUI+A2oBJQH/gOe1Fpb3QPZ0j1grta6mTX7h4WF6fDwcGsP7xkK0xdckfPN2tzSXUnSZYj8DU7+Z7oKBPcxd6Sy3pUGc/Gz6l6ynVTputBzg8zk6CRKqU1a6zA7HduhcUliUh7sPU7FVeKY1maCpSPTIOkiVOwAdR8zF1lZ91vVH6L+yn6MBi9A2GfZ04VDFCUmeWTMSf2OyVi03OkUOPY3RM0wEwlVucm0uFszC+P+SbDx2ezpgaFwyxozQ6xwa4WJOdbO4ghmlqJIoBmm5e3fggQkaymlBgGDAGrWlAHU2aT2Bc+quM7Y7FMS6j1pHvmpeQ90LQU73oXYdWYMW60B0GK0VM6KL7vHJYlJVvKU2KQUVLvVPPLbr8MUM3X2ga9M636p2tDwRfMQ7spzY07W73hqxa24UBSJygAAGkZJREFUfccLQ3lBjb7mUVD1nzGzaO9637Se+ZYz0+w3f0cqZx7MqgqaUqoL8CsQDTQF2gOfK6VuA57QWsfaqkBa62+Ab8DcObLVcT2aK6wz4ijVbzOPlCTLeDT5z1FcOSouSUxyEe4Yx7xLwPXDzSMlKeeWf+E2PDbmZPzuqSzpwjZq3Wsecu0iLKwdg7YI+BnoqLU+oLX+BQjFNPFvz+uNwgWcJecZmIpzl4SsA25FcSRxyZO4exyTyllx4JkxJ/W7B+753XMncu0iLKz9j3Gz1npFxgStdaTlbtKbti+WEG5C+uQ7k8QlIfIi8cnWJOYUd/KdES7Cqha0rAEpQ3qK1nq0NcdQSk3BzHbUUCl1TCn1uPXFFMJFyfowTiNxSYh8SHyyKYk5HkC+M8JF5FlBU0qtUUqVz/DzWKVUUIafKyqljlqTkdb6Pq11Va21r9Y6WGv9faFL7clS+4JnfUhfcOEhJC65KIlNopiSmGMh33EhHCa/FrR2QIkMPz+HmVY2lTeQcWVOYW/uPg5DuK+TS2BpL5hRGeY2hp1jzXTCjidxyRVJbBKOdikKNjwDs2rAzOpm/an4Q/bISWIOyHfc3aQkw74vYH5LmFEJ/usCUTOdXSphpYKOWs5p5KLzZxgSQthX5BRY8wBpX/eEM7D1TTi5GG7819kTIEhcEsLTXDoCC9ub5QtSHfwejs0ya0eVbWDP3CXmCNemNax7BCJ/TU87s9I8Wo6Hxq86rWjCOtbO4iiE8FTJCbDpJUBD48HQ5wh0/Qf8K8OpxXB0urNLKITwNNtHmcpZpU5w6xa4bTtcdzMkxMK2t5xdOiGc68xqUznzKWXWY7zrGLQcZ7ZtfROuxji3fCJf+VXQUhuws6YJIcAz+uTHrDMtZmUbQ+gHUKqmWWuu6TCz/dgsR5dI4pIQ1ijO8enY3+a5zbcQGArlm0G7H9O3aZuGBIk5nqK4fGeOW74f9Z+BkAFQsjo0fg2uuwVSEiH6X+eWT+Qrv35JCvhVKZVg+dkf+FYpddnys5/dSiaEO/CEvvf6mnn2KZl5fRbvkpm3O47EJSGsUZzjU0qGuJQqLSYlYepPNltPSmKOpygu35nU74d3qczpqd+XFIf/3xYFlF8L2k/ACSDW8vgViMrw8wnMoo1CiOKqQlvwKQNnN8H+ryElCS7shd0fmu3X9XB0iSQuCeHpqlrizuZXIfEcXLsAm18xaVVuBmXTERwSc4R7Sf2/fGASxG40LcpRM+H4XPPduK67c8sn8pVnC5rW+lFHFUQI4aJ8y8D1w2HLYNj4tBmPlmK5kVyuKdR+yKHFkbgkhKDZcNNNK2o6HPsLUKCTwcsPmr9j06wk5gi3U60XVLkRTi2FBW3A2z991uUGL5qhCsKlySQhQhTGuW1meufFN5upnWM3OrtE9tXoVWj7HZSpbypn3gFQ93HovixzFyMhhOOkJMHh32BFX7MExs73IaG49NHKR2BzuHm5GVOjU0zlrHI36L4EKrZ1dumEsK2rMbBjNCzpCSv6QeRUM41+bpQXdJ0DDV8G33KmchZQHUI/hNafOKzYovCUtu1AWpsKCwvT4eHhzi6GEJkd/g3WDTQXBRnd8KUZkFucaQ1JF00FzcvXqrcopTZprcPsXDKHkJgkXEZyIqy4C6LnZ04vWcNUXErXdkqxnCLpCqCtvlnkTjFJYo7gwn5Y3DXzkhIAwX2g0/T8l7lJSYbkS2aogrLZuExRAIWJOdKCJlxLYpzln62LSjgLG540lbO6T0DXuaa7AED4i3D5mHPLZ29KgW9ZqytnQjhF0mVIPO/sUtjXgW9M5cyvIoR9AZ3+gKAwuBxlWRbDg/gESEu+cA9Jl+DaxYK9J/xZUzmr0M5UyFp/BiUCzWylh3/K//1e3ub/tlTO3IpTV5cVIk3ULNg+AuK2mab56neaxRTL1HN2yTI7NguSr0CV7tD2W5NW/Xa4chyiZsCRabIApBDOErfTjJWM/hfQENQamo824zGKm8jfzHPYRKh1r3ldqQvMCjYTASSeMxdxQgjnO7sJtrxh1g4FqNgeWoyFKl3zft+Vk3BykRlD1u0f8Asy6b5lYN2jcPhXM9xAFDvSgiac7+ifsLKvqZx5+5u0Y3/Df53g8nHnli2rxHPmuWyDzOllGmTeLoRwrIsHYVFn06qkvMxkEWc3wfLb4cT8/N/vbq5ZYk2ZDLHIv7KlUqbNrIZCCOeL2wGLuprKmfIBrxIQsxaW3gKnV+X93muWngB+lTLfcJFrjmJPKmjCuXQKRLxpXjd7G/rHwV3HoVJnuHoK9k5wZumyq9DGPB/9Ey4dMa+vnITIXy3bZXC6EE6x+0NzsVK1J/Q9Cf3PQcNXTIzZ+qazS2d7QZZYtOcTM1kIwOGfzaLyAdXMhABCCOfb8a7p2lijH9x9BvqfNUMkUq7Btrfzfm+p2qYb8+Uoc90B5n17PzWvZUKcYksqaMK5Lh2B+APgVwGajQBvPwi4Ln2a5Oj/nFu+rCp1MpXHhBiY0wAWtIPZdUzwDAyFarc5u4RCeKaTi8xzi/fAv6IZlxT6nlm8+FwEJMQ6tXg21/hV00oY+Qv8HQL/XA/rHjHbmgzJf+IAIYRjpMam0A+hRHnwKQWtPgIUnF5mJvzJjXcJaDzYvF59L8xrAX/XgqN/mMm6Gr5s37ILp5EKmnCu1MkmkhMhJUOQSoq3bC/h+DLlRSno+re5E5ZyDWLXmzFpVW+FbvPNYFwhhOOlxpLU2AFmaml9LfP24iKwBXSbC6XrmjGw53eY6bRD34cGzzu7dEKIVGmx6VJ6WtIlQJsuj/ktqt54MFz/jpmFMW6bmTCkTAPoNg/KNbZbsYVzyS024Vwlg83MY2fDYf1jphXt6knYbJloo8ZdTi1ejkoEQucZZsbG+ENQsiaUDnF2qYTwbMF3wa4PIPx5uGES+JY3XRtTrkGVm8wsZsXNdTfDnftMC2HyFdOK71PK2aUSQmQU3BcOfGVmgG79uekptOU1s636nfm3disF178NjV4x33WfUuYGTX4VO+HWpIImnK/1p7DkZjgy1TxSlb/ete8Elww2DyGE8zUeDFF/Qdx2M8FQKp8yZkbY4kp5QVArZ5dCCJGbZm/DiX8gdgMszDBmzK8ChI61/ji+paFyp/z3E8WCQ6vfSqleSqm9SqkDSqkhjsxbuLBKHaDHOqh1nxncXqY+NB0GN68onne9hcuQmFSM+FWAW9aYilrpOubmSe2B0HMDBLV0dumEACTmeKSS1cw1TsOXoFSIWUy+7pMmNpVt6OzSCRflsBY0pZQ38AVwC3AM2KiUmq213uWoMggXFtgcOv7u7FIIDyIxqRjyrwgtPzQPIVyMxBwPVrIatJ5gHkJYwZEtaG2AA1rrQ1rrRGAq0MeB+QshREYSk4QQjiQxRwhhFUdW0KoDURl+PmZJE0IIZ5CYJIRwJIk5QgirOLKCpnJI09l2UmqQUipcKRV+5swZBxRLCOGhJCYJIRxJYo4QwiqOrKAdA2pk+DkYOJF1J631N1rrMK11WKVKlRxWOCGEx5GYJIRwJIk5QgirOLKCthGor5SqrZQqAQwAZjswfyGEyEhikhDCkSTmCCGs4rBZHLXWSUqp54EFgDfwg9Z6p6PyF0KIjCQmCSEcSWKOEMJaDl2oWms9D5jnyDyFECI3EpOEEI4kMUcIYQ2HLlQthBBCCCGEECJ3UkETQgghhBBCCBchFTThPoIwkxRnfQQ5s1BCCGEFiV9C2J98z0Qx4dAxaEIUyTlyWDGGnFeWEUIIVyLxSwj7k++ZKCakBU0IIYQQQgghXIRU0IQQQgghhBDCRUgFTQghhBBCCCFchFTQhEiVkgSXjsK1C84uiRBCwNUYuHwcdE6DaoQQIhfX4s31THKis0siCkkmCRHuI5CcB/oGFvG4OgV2j4c9H8HV06C8ocbd0HoCBFQt4sGFEIKCxa+zm2HTy3Bmpfm5bCNoMQZq9LNf+YQoDux1neAuEs/BplfgyBRISYQSgVD/Obh+BHjJJb87kRY04T7OYmZnyvo4W8TjbnsbIt4wlTO/SuagR/+AxTdC0qUiHlwIIbA+fp3fA4u6mcqZtz/4loMLe2Dl3RA107FlFsLd2Os6wR2kXIMlPeHwT+a1fxVTYds5GjY+6+zSiQKSCprwbAmxsPsj87rTdOh3CnofNnesL+yFw786t3xCCM+y+0NIugjBfaDfabj7DDQdZrZtGy7dHYUQOTs2G85uhJLBcMce6HcSbloEXr5w8DuIP+zsEooCkAqa8Gwx6yAlASp1gpp3g1JQqiY0esVsP7XUueUTQniW1Jhz/SjwLWMurpoNB59ScH6HuakkhBBZpcaO+s9A2Qbm9XXdodrtgIbTK5xWNFFwUkETns3b3zwnxGa+M516EeQT4PgyCSE8l7cl5mSsiCVdhOQEy3Y/x5dJCOH6Ml7PZJT6s7dcz7gTqaAJz1apE/hXhgu7Ifx5OLcNDv8Cu94322v0d275hBCepcbd5jn8WTixAGLWw+r7QCdB1Z6mVU0IIbKqable2f8l7P8a4nZCxFAzntWnlIkfwm3IlC7Cs3n7QdiXsPpeS1D7Mn1bzXug2q3OK5sQwvM0fhWOzTLdGZf1Sk8vEQQtP3JasYQQLq5iO6j3NBz4CjY+nXlbq0+gRDnnlEsUilTQhKh5N5RcDXs+NtNb+1eGOg9DncdASSOzEMKBSpSHW1bB3k8haoaZKrvKTdB4MJQOcXbphBCu7IYvoVJHOPgtXD4B5ZpAo5ehyo3OLpkoIKmgCQFQsS10mubsUgghhLnTff1w8xBCCGspBbUfNA/h1qR5QAghhBBCCCFchFTQhBBCCCGEEMJFSAVNCCGEEEIIIVyE0hnXfnIxSqkzwBEHZlkRiHFgfq6Qt+Rb/PN2dr61tNaVnJC/zWWISZ74dyR5S97FJW+3iUlWXAc583fkaJ5yrp5ynuA551rgmOPSFTRHU0qFa63DPClvybf45+1p+TqCJ/4dSd6St6fk7U486XPylHP1lPMEzzrXgpIujkIIIYQQQgjhIqSCJoQQQgghhBAuQipomX3jgXlLvsU/b0/L1xE88e9I8pa8PSVvd+JJn5OnnKunnCd41rkWiIxBE0IIIYQQQggXIS1oQgghhBBCCOEipIJmoZTqpZTaq5Q6oJQaYsd8aiilliqldiuldiqlXrKkByml/lNK7bc8B9opf2+l1Bal1FxH5auUKq+Umq6U2mM57/YOPN9XLJ/zDqXUFKWUvz3yVkr9oJQ6rZTakSEt13yUUkMtf2t7lVI97ZD3OMvnvU0pNVMpVd7WeeeUb4ZtrymltFKqoq3zdRZHfKb55O+QGGXJy6lxypKXw2OVJZ9iH68y5Odxcau4cGQ8cITCxBx3/psoSHxz8/MsUDx153O1Oa21xz8Ab+AgUAcoAWwFmtgpr6pAK8vrMsA+oAnwITDEkj4E+MBO+f8f8Dsw1/Kz3fMFfgKesLwuAZR3UL7VgcNAgOXnP4BH7JE30AVoBezIkJZjPpbf91bAD6ht+dvztnHePQAfy+sP7JF3Tvla0msAC7CsF2aPc3bGwxGfaR55OyxGWfJzapyyHN/hscpy7GIfrzLk6XFxqzg8HB0PHHROBYo57v43YW18KwbnaXU8dfdztfln5+wCuMIDaA8syPDzUGCog/L+G7gF2AtUtaRVBfbaIa9gYDFwU4agYNd8gbKYiw6VJd0R51sdiAKCAB9gruUCwC55AyFZLjZyzCfr3xemMtPelnln2dYX+M0eeeeULzAdaAFEkl5Bs/k5O/Nhz880l/ycFqMs+TksTlmO7fBYZTmux8SrDPl6XNxy94ez44GDzjHPmOPOfxMFiW9ufp4FiqfufK72eEgXRyP1H2OqY5Y0u1JKhQAtgfVAFa11NIDlubIdspwAvA6kZEizd751gDPAj5bm/O+UUqUckC9a6+PAeOAoEA2c11ovdETeFrnl4+i/t8eA+Y7IWynVGziutd6aZZNTvmN25LDP1IF55MgJcQqcE6vAs+NVKo+LW26oWH8eVsYcd/4MJmB9fHPn8yxoPHXnc7U5qaAZKoc0bdcMlSoNzABe1lpfsGdelvzuAE5rrTfZO68sfDDdWCZprVsClzBN2nZn6dfcB9NUXg0opZR60BF558Nhf29KqWFAEvCbvfNWSpUEhgHDc9psr3xtSSm1yDL+J+ujT4Z9HPaZZiyaA/LInqmD45QlT2fFKpB4lZdiGbfcVLH9PAoQc9zyMyhEfHPL87QoaDx153O1OR9nF8BFHMOMm0kVDJywV2ZKKV9MAPpNa/2XJfmUUqqq1jpaKVUVOG3jbDsCvZVStwH+QFml1K8OyPcYcExrvd7y83TMF9Te+QLcDBzWWp8BUEr9BXRwUN7kkY9D/t6UUg8DdwDdtaW/gJ3zrou5uNyqlEo99malVBs752szWuub89ruhM80lcM/PyfFKXBerALPjlepPC1uuaNi+XkUMOa462dQ0PjmrucJBY+n7nyuNictaMZGoL5SqrZSqgQwAJhtj4yUuXL9Htittf44w6bZwMOW1w9j+l/bjNZ6qNY6WGsdgjm/JVrrBx2Q70kgSinV0JLUHdhl73wtjgLtlFIlLZ97d2C3g/Imj3xmAwOUUn5KqdpAfWCDLTNWSvUC3gB6a60vZymTXfLWWm/XWlfWWodY/s6OYQZ9n7Rnvo7ijM80A4fFKHBenALnxSpL3p4cr1J5VNxyUw6NB45QiJjjln8ThYhvbnmeUKh46rbnahfOHgTnKg/gNsysQQeBYXbMpxOmyXYbEGF53AZUwAwa3W95DrJjGbqRPjDV7vkCoUC45ZxnAYGOOl9gFLAH2AH8gpkdyOZ5A1Mw40auYSomj+eVD6Yr4EHMYNlb7ZD3AUxf7tS/sa9snXdO+WbZHollkhBbn7MzHo74TPPJ3yExypKX0+OUpRwOjVWWfIp9vMqQn8fFreLycGQ8cND5FDjmuPvfhLXxzZ3Ps6Dx1J3P1dYPZflAhBBCCCGEEEI4mXRxFEIIIYQQQggXIRU0IYQQQgghhHARUkETQgghhBBCCBchFTQhhBBCCCGEcBFSQRNCCCGEEEIIFyEVNCGEEEIIIYRwEVJBE0IIIYQQwsUppUKUUjqXRy9nl0/Yjo+zCyBEKqXUMmCH1vp5Z5dFCCEkJgkhXFQvYGuWtLPOKIiwD2lBE25NKbUklztJ/zi7bEIIzyMxSQjPoJRappSapJT6SCl1Vil1Rin1klLKTyn1hVIqTil1VCn1UIb3vK+U2quUuqKUilRKfaiU8rdsU0qp/5RSi5RSypJWWim1Xyk1MUv2sVrrk1keiQ48fWFnUkET7q4lMAyomuVxnzMLJYTwWBKThPAcDwAXgbbA+8AEYBawDwgDfgK+U0pVs+x/CXgMaAw8CwzAxAu01hp4GAgFXrPs/xmQCAy294kI1yIVNJEvy12ir5RSnyqlzlke45RSXpbtSin1ulLqoOWu0Hal1INZjtFLKbXy/9u7t1ArqjCA4//P6EZFkRiSkEQSFBXEIbOiMEJ7qh4yAn2KzPNQRBlEQoV1DhIpZS+JSthLEYFQSKbRQ1lh56XCNLtY2sVLJnkLIjS/Htbs2A776Kn0nNmn/w+GvfeamT2zXj7W+matNdW5v0bE2oi47DjXvaXKQPUOsv8S4Dzg/Q6ZpAMnqPqSGsaYJKkhNmXm/Mz8BngO2AMcyswXMnML8DQQwPUAmdmXmR9l5rbMXA0soC15k5k7gNlAf0T0UTqAMzPz99p110XEb7Xt3JNeWw0b56BpqGYBLwPXAVcBy4GdlIDUD8wA7ge+qo5ZHhF7M7M1rOcsSmZpA3Am8DiwKiIu7/RYPiLuBFYAszPz9UHuqQf4E/j0BNRPUncxJkkaaRtaXzIzI2I38Hlb2aGI2AtcABARM4CHgEnA2cAp1UbbOW9ExKuUmPRoZtbnmgHMBDbWyg7+59qoMeygaah2Ag9Wj+C/jIhLgbkRsRSYC0zPzA+qY7dGxGRK4+gtgMxc2f5nEXEPcACYDHxY2zcHWAjMyMx3jnFPPZTAtrsart3ydmbe9e+qKalLGJMkjbRDtd85SNmYiJgCvAY8BTwM7ANuBxa1H1zNSbuGkuyZNMh1f6qe0GmUsoOmofq4agi1rAf6KGOszwDWRET7/lOBba0f1dCfPso47XGU4bVjgItq17kD6AVuysz1x7mnHmAl8FitfP8Q6iOpuxmTJHWTG4DtmdnXKoiIiR2OWwicDkwD1kbE6sx8c5juUQ1hB00nym3AD7Wy9izSKmA7paGzHTgMfAGcVjtnAyXbdG9E1BtgdVcD/WaRJHVgTJLUJF8DEyJiFiWhdCu1xYOivMusF7gxMwciYj5lkZGBzNzVdujYiBhf+//9HeaqqUu5SIiG6to4eszOFGAH8AnwBzAxM7fUtu8BImIsZcWiBZn5bmZuBs6hc4JgKzAVmA4sq13zbxFxMXA+zvWQ/q+MSZK6RmauojwdW0xJ/EwDnmztj4hxlHm1/Zk5UBU/A2wCVtRizxrKMO/2bdbJrYGGk0/QNFQXAosj4kXgSsqSr/2ZeTAiFgGLquCxjjLxdQpwJDOXAXspKxvdFxE/AhMoQepwpwtl5ncRcTPwHqVBNKdD1rqn+tzVIYu0JzM7/rekUcOYJGnEZObUDmVXdCgb3/Z9HjCvdsiSat8vwFGxIzOPUBJELdsoq0JqlLODpqF6hTL5fYAy3Ocl4Plq3xPAz5T3diyhTLT/DHgWSoCJiLsp7/PYCGwBHqHM1egoM7+NiKmUBtHSiOitNYhajaHN9VMpWex9/7iGkrqJMUmSNCrFsYfTS+WdQ8DGzHxgpO9FkoxJkqTRzDlokiRJktQQdtAkSZIkqSEc4ihJkiRJDeETNEmSJElqCDtokiRJktQQdtAkSZIkqSHsoEmSJElSQ9hBkyRJkqSGsIMmSZIkSQ1hB02SJEmSGsIOmiRJkiQ1xF/mLOr9OLUNrQAAAABJRU5ErkJggg==
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Z == All</span>
<span class="n">dr</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">&#39;SStype&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;Z&#39;</span><span class="p">,</span> <span class="s1">&#39;A&#39;</span><span class="p">,</span> <span class="s1">&#39;AB&#39;</span><span class="p">,</span> <span class="s1">&#39;B&#39;</span><span class="p">],</span> 
                <span class="s1">&#39;y_rs&#39;</span><span class="p">:</span> <span class="n">y_rs</span><span class="p">,</span> <span class="s1">&#39;y_ps&#39;</span><span class="p">:</span> <span class="n">y_ps</span><span class="p">,</span> <span class="s1">&#39;r_rs&#39;</span><span class="p">:</span> <span class="n">r_rs</span><span class="p">,</span> <span class="s1">&#39;r_ps&#39;</span><span class="p">:</span> <span class="n">r_ps</span><span class="p">,</span>
                <span class="s1">&#39;a_rs&#39;</span><span class="p">:</span> <span class="n">a_rs</span><span class="p">,</span> <span class="s1">&#39;a_ps&#39;</span><span class="p">:</span> <span class="n">a_ps</span><span class="p">,</span> <span class="s1">&#39;c_rs&#39;</span><span class="p">:</span> <span class="n">c_rs</span><span class="p">,</span> <span class="s1">&#39;c_ps&#39;</span><span class="p">:</span> <span class="n">c_ps</span><span class="p">,</span> 
                <span class="s1">&#39;x_rs&#39;</span><span class="p">:</span> <span class="n">x_rs</span><span class="p">,</span> <span class="s1">&#39;x_ps&#39;</span><span class="p">:</span> <span class="n">x_ps</span><span class="p">,</span> <span class="s1">&#39;h_rs&#39;</span><span class="p">:</span> <span class="n">h_rs</span><span class="p">,</span> <span class="s1">&#39;h_ps&#39;</span><span class="p">:</span> <span class="n">h_ps</span><span class="p">,})</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;SStype&#39;</span><span class="p">)</span>
<span class="n">UZcorrs_dr</span> <span class="o">=</span> <span class="n">dr</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">n_dr</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># save to file</span>
<span class="n">UZcorrs_dr</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s2">&quot;UZcorrs_dr.txt&quot;</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39; &#39;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># desire corrs with ND variants to be stronger than with &#39;h&#39; or &#39;n&#39;,</span>
<span class="c1"># since generating peak Es involve more work</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">UZcorrs_dr</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="n">regex</span><span class="o">=</span><span class="s1">&#39;_rs&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
<span class="n">df</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th>SStype</th>
      <th>Z</th>
      <th>A</th>
      <th>AB</th>
      <th>B</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>y_rs</th>
      <td>0.0664</td>
      <td>-0.6905</td>
      <td>-0.1091</td>
      <td>-0.3274</td>
    </tr>
    <tr>
      <th>r_rs</th>
      <td>-0.2145</td>
      <td>-0.5590</td>
      <td>-0.1903</td>
      <td>-0.3294</td>
    </tr>
    <tr>
      <th>a_rs</th>
      <td>-0.7267</td>
      <td>-0.4121</td>
      <td>-0.6481</td>
      <td>-0.5744</td>
    </tr>
    <tr>
      <th>c_rs</th>
      <td>-0.7106</td>
      <td>-0.4370</td>
      <td>-0.5412</td>
      <td>-0.6408</td>
    </tr>
    <tr>
      <th>x_rs</th>
      <td>-0.6995</td>
      <td>-0.4700</td>
      <td>-0.4938</td>
      <td>-0.7052</td>
    </tr>
    <tr>
      <th>h_rs</th>
      <td>-0.4446</td>
      <td>-0.5552</td>
      <td>-0.3260</td>
      <td>-0.5550</td>
    </tr>
    <tr>
      <th>n_rs</th>
      <td>-0.4355</td>
      <td>-0.6721</td>
      <td>-0.1850</td>
      <td>-0.7425</td>
    </tr>
    <tr>
      <th>n12_rs</th>
      <td>-0.4572</td>
      <td>-0.6842</td>
      <td>-0.1988</td>
      <td>-0.7502</td>
    </tr>
    <tr>
      <th>n23_rs</th>
      <td>-0.4504</td>
      <td>-0.6807</td>
      <td>-0.1944</td>
      <td>-0.7479</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># smaller (more negative) is better</span>
<span class="n">Xs</span> <span class="o">=</span> <span class="n">NDVs</span><span class="p">[:];</span> <span class="n">Xs</span><span class="o">.</span><span class="n">extend</span><span class="p">([</span><span class="s1">&#39;N&#39;</span><span class="p">,</span> <span class="s1">&#39;N1/2&#39;</span><span class="p">,</span> <span class="s1">&#39;N2/3&#39;</span><span class="p">])</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">Xs</span><span class="p">,</span> <span class="n">df</span><span class="o">.</span><span class="n">A</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;^&#39;</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;green&#39;</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">Xs</span><span class="p">,</span> <span class="n">df</span><span class="o">.</span><span class="n">AB</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;orange&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;AB&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">Xs</span><span class="p">,</span> <span class="n">df</span><span class="o">.</span><span class="n">B</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;magenta&#39;</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;B&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xticks</span><span class="p">(</span><span class="n">Xs</span><span class="p">);</span> <span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">(</span><span class="n">Xs</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;LE &lt;--- priority ---&gt; SE&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Uzunoglo (52): correlation with exp. fold rate by SS type.&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span> <span class="n">loc</span><span class="o">=</span><span class="s2">&quot;upper left&quot;</span><span class="p">,</span> <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
</pre></div>

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<li><p>If the task at hand is simply predicting fold-rate, <em>N</em> is competitive with ND, and simpler than ND, for structurally pure SStype chains, <em>A</em> and <em>B</em>.</p>
</li>
<li><p>ND variants are also better at modelling structurally pure chains:</p>
<ul>
<li>For <em>A</em>, ND variants that "prioritize" LE over SE ('y' and 'r') do better.</li>
<li>For <em>B</em>, ND variants that "prioritize" SE over LE ('x' and 'c') do better.</li>
</ul>
</li>
<li><p>The problematic class is structurally mixed SStype chains (<em>AB</em>), which seem to thrive in the "Goldilocks region" created by ND variant 'a' which strikes a good balance between LE and SE.</p>
</li>
<li><p>Goal is to design a ND variant that can handle all kinds of chains well.</p>
<ul>
<li>An idea that presents itself is to combine the best of these ND variants.</li>
</ul>
</li>
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<h3 id="Problem-of-trying-to-mix-peak-$E$s-from-different-ND-variants">Problem of trying to mix peak $E$s from different ND variants<a class="anchor-link" href="#Problem-of-trying-to-mix-peak-$E$s-from-different-ND-variants">&#182;</a></h3><ul>
<li>ND energy ranges differ.</li>
</ul>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">alpha_df</span> <span class="o">=</span> <span class="n">y_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;a&#39;&quot;</span><span class="p">)</span>
<span class="n">alphabeta_df</span> <span class="o">=</span> <span class="n">a_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;ab&#39;&quot;</span><span class="p">)</span>
<span class="n">beta_df</span> <span class="o">=</span> <span class="n">x_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;b&#39;&quot;</span><span class="p">)</span>
<span class="n">yax_df</span> <span class="o">=</span> <span class="n">alpha_df</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">beta_df</span><span class="p">)</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">alphabeta_df</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">alpha_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">alphabeta_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">beta_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">yax_df</span><span class="p">))</span>
<span class="n">yax_rs</span><span class="p">,</span> <span class="n">yax_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">yax_df</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;y-a-x&#39;</span><span class="p">)</span>
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<pre>15 20 17 52
Pearson correlation with exp. fold rate: y-a-x
All: [0.1927 0.1711]
A: [-0.6905  0.0044]
AB: [-0.6481  0.002 ]
B: [-0.7052  0.0016]

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">alpha_df</span> <span class="o">=</span> <span class="n">r_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;a&#39;&quot;</span><span class="p">)</span>
<span class="n">alphabeta_df</span> <span class="o">=</span> <span class="n">a_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;ab&#39;&quot;</span><span class="p">)</span>
<span class="n">beta_df</span> <span class="o">=</span> <span class="n">x_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;b&#39;&quot;</span><span class="p">)</span>
<span class="n">rax_df</span> <span class="o">=</span> <span class="n">alpha_df</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">beta_df</span><span class="p">)</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">alphabeta_df</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">alpha_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">alphabeta_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">beta_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">rax_df</span><span class="p">))</span>
<span class="n">rax_rs</span><span class="p">,</span> <span class="n">rax_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">rax_df</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;r-a-x&#39;</span><span class="p">)</span>
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<pre>15 20 17 52
Pearson correlation with exp. fold rate: r-a-x
All: [-0.3896  0.0043]
A: [-0.559   0.0303]
AB: [-0.6481  0.002 ]
B: [-0.7052  0.0016]

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</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="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">4</span><span class="p">),</span> <span class="n">constrained_layout</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s2">&quot;Uzunoglo (52): combined peak Es.&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;y-a-x &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">yax_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">)),</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">nd</span><span class="o">.</span><span class="n">plot_peakE_by_SStype</span><span class="p">(</span><span class="n">yax_df</span><span class="p">,</span> <span class="n">ax1</span><span class="p">,</span> <span class="n">yax_rs</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;r-a-x &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">rax_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">)),</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">nd</span><span class="o">.</span><span class="n">plot_peakE_by_SStype</span><span class="p">(</span><span class="n">rax_df</span><span class="p">,</span> <span class="n">ax2</span><span class="p">,</span> <span class="n">rax_rs</span><span class="p">)</span>
<span class="n">_</span> <span class="o">=</span> <span class="n">ax2</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">)</span>
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<h3 id="A-simple-first-solution-with-unscaled-$p_e$">A simple first solution with unscaled $p_e$<a class="anchor-link" href="#A-simple-first-solution-with-unscaled-$p_e$">&#182;</a></h3><ul>
<li>The effect of scaling on $p_e$ for longer range contacts was reported previously, and now put to use.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dirn</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">&quot;UZ_ND3&quot;</span><span class="p">,</span> <span class="s2">&quot;notscaled&quot;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">UZ_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;x_notscaled&#39;</span><span class="p">)</span>
<span class="n">ux_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">ux_rs</span><span class="p">,</span> <span class="n">ux_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">ux_df</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;ux&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">UZ_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;c_notscaled&#39;</span><span class="p">)</span>
<span class="n">uc_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">uc_rs</span><span class="p">,</span> <span class="n">uc_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">uc_df</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;uc&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">UZ_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;a_notscaled&#39;</span><span class="p">)</span>
<span class="n">ua_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">ua_rs</span><span class="p">,</span> <span class="n">ua_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">ua_df</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;ua&#39;</span><span class="p">)</span>
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<pre>Pearson correlation with exp. fold rate: ux
All: [-0.5418  0.    ]
A: [-0.5723  0.0258]
AB: [-0.3542  0.1254]
B: [-0.4549  0.0666]

Pearson correlation with exp. fold rate: uc
All: [-0.5533  0.    ]
A: [-0.5264  0.0438]
AB: [-0.4392  0.0527]
B: [-0.4379  0.0788]

Pearson correlation with exp. fold rate: ua
All: [-0.4299  0.0015]
A: [-0.2204  0.4299]
AB: [-0.3907  0.0886]
B: [-0.2014  0.4382]

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">,</span> <span class="n">ax3</span><span class="p">)</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">4</span><span class="p">),</span> <span class="n">constrained_layout</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s2">&quot;Uzunoglo: unscaled ND variants.&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>

<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;ux &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">ux_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">)),</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">nd</span><span class="o">.</span><span class="n">plot_peakE_by_SStype</span><span class="p">(</span><span class="n">ux_df</span><span class="p">,</span> <span class="n">ax1</span><span class="p">,</span> <span class="n">ux_rs</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">)</span>

<span class="n">ax2</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;uc &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">uc_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">)),</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">nd</span><span class="o">.</span><span class="n">plot_peakE_by_SStype</span><span class="p">(</span><span class="n">uc_df</span><span class="p">,</span> <span class="n">ax2</span><span class="p">,</span> <span class="n">uc_rs</span><span class="p">)</span>
<span class="n">ax2</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">)</span>

<span class="n">ax3</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;ua &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">ua_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">)),</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">nd</span><span class="o">.</span><span class="n">plot_peakE_by_SStype</span><span class="p">(</span><span class="n">ua_df</span><span class="p">,</span> <span class="n">ax3</span><span class="p">,</span> <span class="n">ua_rs</span><span class="p">)</span>
<span class="n">_</span> <span class="o">=</span> <span class="n">ax3</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">)</span>
</pre></div>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">unscaled_dr</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">&#39;SStype&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;Z&#39;</span><span class="p">,</span> <span class="s1">&#39;A&#39;</span><span class="p">,</span> <span class="s1">&#39;AB&#39;</span><span class="p">,</span> <span class="s1">&#39;B&#39;</span><span class="p">],</span>
                            <span class="s1">&#39;ua_rs&#39;</span><span class="p">:</span> <span class="n">ua_rs</span><span class="p">,</span> <span class="s1">&#39;ua_ps&#39;</span><span class="p">:</span> <span class="n">ua_ps</span><span class="p">,</span> <span class="s1">&#39;uc_rs&#39;</span><span class="p">:</span> <span class="n">uc_rs</span><span class="p">,</span> <span class="s1">&#39;uc_ps&#39;</span><span class="p">:</span> <span class="n">uc_ps</span><span class="p">,</span>
                            <span class="s1">&#39;ux_rs&#39;</span><span class="p">:</span> <span class="n">ux_rs</span><span class="p">,</span> <span class="s1">&#39;ux_ps&#39;</span><span class="p">:</span> <span class="n">ux_ps</span><span class="p">})</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;SStype&#39;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">UZcorrs_dr</span> <span class="o">=</span> <span class="n">UZcorrs_dr</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">unscaled_dr</span><span class="p">)</span>
<span class="n">UZcorrs_dr</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s2">&quot;UZcorrs_dr.txt&quot;</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39; &#39;</span><span class="p">)</span>
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<div class="prompt input_prompt">In&nbsp;[34]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">CDF</span> <span class="o">=</span> <span class="n">UZcorrs_dr</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="n">regex</span><span class="o">=</span><span class="s1">&#39;_rs&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
<span class="n">CDF</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th>SStype</th>
      <th>Z</th>
      <th>A</th>
      <th>AB</th>
      <th>B</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>y_rs</th>
      <td>0.0664</td>
      <td>-0.6905</td>
      <td>-0.1091</td>
      <td>-0.3274</td>
    </tr>
    <tr>
      <th>r_rs</th>
      <td>-0.2145</td>
      <td>-0.5590</td>
      <td>-0.1903</td>
      <td>-0.3294</td>
    </tr>
    <tr>
      <th>a_rs</th>
      <td>-0.7267</td>
      <td>-0.4121</td>
      <td>-0.6481</td>
      <td>-0.5744</td>
    </tr>
    <tr>
      <th>c_rs</th>
      <td>-0.7106</td>
      <td>-0.4370</td>
      <td>-0.5412</td>
      <td>-0.6408</td>
    </tr>
    <tr>
      <th>x_rs</th>
      <td>-0.6995</td>
      <td>-0.4700</td>
      <td>-0.4938</td>
      <td>-0.7052</td>
    </tr>
    <tr>
      <th>h_rs</th>
      <td>-0.4446</td>
      <td>-0.5552</td>
      <td>-0.3260</td>
      <td>-0.5550</td>
    </tr>
    <tr>
      <th>n_rs</th>
      <td>-0.4355</td>
      <td>-0.6721</td>
      <td>-0.1850</td>
      <td>-0.7425</td>
    </tr>
    <tr>
      <th>n12_rs</th>
      <td>-0.4572</td>
      <td>-0.6842</td>
      <td>-0.1988</td>
      <td>-0.7502</td>
    </tr>
    <tr>
      <th>n23_rs</th>
      <td>-0.4504</td>
      <td>-0.6807</td>
      <td>-0.1944</td>
      <td>-0.7479</td>
    </tr>
    <tr>
      <th>ua_rs</th>
      <td>-0.4299</td>
      <td>-0.2204</td>
      <td>-0.3907</td>
      <td>-0.2014</td>
    </tr>
    <tr>
      <th>uc_rs</th>
      <td>-0.5533</td>
      <td>-0.5264</td>
      <td>-0.4392</td>
      <td>-0.4379</td>
    </tr>
    <tr>
      <th>ux_rs</th>
      <td>-0.5418</td>
      <td>-0.5723</td>
      <td>-0.3542</td>
      <td>-0.4549</td>
    </tr>
  </tbody>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">CDF</span><span class="o">.</span><span class="n">A</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span>
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<pre>y_rs     -0.690474
n12_rs   -0.684221
n23_rs   -0.680697
n_rs     -0.672115
ux_rs    -0.572340
r_rs     -0.559032
h_rs     -0.555163
uc_rs    -0.526444
x_rs     -0.470023
c_rs     -0.437038
a_rs     -0.412113
ua_rs    -0.220431
Name: A, dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">CDF</span><span class="o">.</span><span class="n">AB</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span>
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<pre>a_rs     -0.648068
c_rs     -0.541155
x_rs     -0.493830
uc_rs    -0.439166
ua_rs    -0.390667
ux_rs    -0.354226
h_rs     -0.325991
n12_rs   -0.198762
n23_rs   -0.194397
r_rs     -0.190254
n_rs     -0.185007
y_rs     -0.109097
Name: AB, dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">CDF</span><span class="o">.</span><span class="n">B</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span>
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<pre>n12_rs   -0.750195
n23_rs   -0.747886
n_rs     -0.742475
x_rs     -0.705247
c_rs     -0.640761
a_rs     -0.574378
h_rs     -0.555005
ux_rs    -0.454861
uc_rs    -0.437884
r_rs     -0.329368
y_rs     -0.327428
ua_rs    -0.201439
Name: B, dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># plot to compare these ND variants</span>
<span class="n">Xs</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;y&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">,</span> <span class="s1">&#39;ua&#39;</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;uc&#39;</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">,</span> <span class="s1">&#39;ux&#39;</span><span class="p">,</span> <span class="s1">&#39;x&#39;</span><span class="p">,</span> <span class="s1">&#39;h&#39;</span><span class="p">,</span> <span class="s1">&#39;n12&#39;</span><span class="p">]</span>
<span class="n">hdf</span> <span class="o">=</span> <span class="n">CDF</span><span class="o">.</span><span class="n">copy</span><span class="p">()</span>
<span class="n">hdf</span> <span class="o">=</span> <span class="n">hdf</span><span class="o">.</span><span class="n">reindex</span><span class="p">([</span><span class="n">l</span><span class="o">+</span><span class="s2">&quot;_rs&quot;</span> <span class="k">for</span> <span class="n">l</span> <span class="ow">in</span> <span class="n">Xs</span><span class="p">])</span>
<span class="n">hdf</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
    }
</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th>SStype</th>
      <th>Z</th>
      <th>A</th>
      <th>AB</th>
      <th>B</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>y_rs</th>
      <td>0.066354</td>
      <td>-0.690474</td>
      <td>-0.109097</td>
      <td>-0.327428</td>
    </tr>
    <tr>
      <th>r_rs</th>
      <td>-0.214498</td>
      <td>-0.559032</td>
      <td>-0.190254</td>
      <td>-0.329368</td>
    </tr>
    <tr>
      <th>ua_rs</th>
      <td>-0.429877</td>
      <td>-0.220431</td>
      <td>-0.390667</td>
      <td>-0.201439</td>
    </tr>
    <tr>
      <th>a_rs</th>
      <td>-0.726708</td>
      <td>-0.412113</td>
      <td>-0.648068</td>
      <td>-0.574378</td>
    </tr>
    <tr>
      <th>uc_rs</th>
      <td>-0.553336</td>
      <td>-0.526444</td>
      <td>-0.439166</td>
      <td>-0.437884</td>
    </tr>
    <tr>
      <th>c_rs</th>
      <td>-0.710594</td>
      <td>-0.437038</td>
      <td>-0.541155</td>
      <td>-0.640761</td>
    </tr>
    <tr>
      <th>ux_rs</th>
      <td>-0.541776</td>
      <td>-0.572340</td>
      <td>-0.354226</td>
      <td>-0.454861</td>
    </tr>
    <tr>
      <th>x_rs</th>
      <td>-0.699528</td>
      <td>-0.470023</td>
      <td>-0.493830</td>
      <td>-0.705247</td>
    </tr>
    <tr>
      <th>h_rs</th>
      <td>-0.444587</td>
      <td>-0.555163</td>
      <td>-0.325991</td>
      <td>-0.555005</td>
    </tr>
    <tr>
      <th>n12_rs</th>
      <td>-0.457243</td>
      <td>-0.684221</td>
      <td>-0.198762</td>
      <td>-0.750195</td>
    </tr>
  </tbody>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># smaller (more negative) is better</span>
<span class="n">NDVs</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;y&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">,</span> <span class="s1">&#39;ua&#39;</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;uc&#39;</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">,</span> <span class="s1">&#39;ux&#39;</span><span class="p">,</span> <span class="s1">&#39;x&#39;</span><span class="p">,</span> <span class="s1">&#39;h&#39;</span><span class="p">,</span> <span class="s1">&#39;N1/2&#39;</span><span class="p">]</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">NDVs</span><span class="p">,</span> <span class="n">hdf</span><span class="o">.</span><span class="n">A</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;^&#39;</span><span class="p">,</span><span class="n">s</span><span class="o">=</span><span class="mi">60</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;green&#39;</span><span class="p">,</span><span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">NDVs</span><span class="p">,</span> <span class="n">hdf</span><span class="o">.</span><span class="n">AB</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;orange&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">60</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;AB&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">NDVs</span><span class="p">,</span> <span class="n">hdf</span><span class="o">.</span><span class="n">B</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;magenta&#39;</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;B&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">axhline</span><span class="p">(</span><span class="n">y</span><span class="o">=-</span><span class="mf">0.5723</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s2">&quot;tab:green&quot;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">1</span><span class="p">,</span> <span class="n">ls</span><span class="o">=</span><span class="s1">&#39;--&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s2">&quot;&quot;</span><span class="p">,</span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;ux&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.5723</span><span class="p">),</span> <span class="n">xycoords</span><span class="o">=</span><span class="s1">&#39;data&#39;</span><span class="p">,</span> <span class="n">xytext</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;x&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.47</span><span class="p">),</span> 
        <span class="n">arrowprops</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">arrowstyle</span><span class="o">=</span><span class="s1">&#39;-|&gt;&#39;</span><span class="p">,</span> <span class="n">connectionstyle</span><span class="o">=</span><span class="s2">&quot;arc3&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;tab:green&#39;</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s2">&quot;&quot;</span><span class="p">,</span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;uc&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.5264</span><span class="p">),</span> <span class="n">xycoords</span><span class="o">=</span><span class="s1">&#39;data&#39;</span><span class="p">,</span> <span class="n">xytext</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;c&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.437</span><span class="p">),</span> 
        <span class="n">arrowprops</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">arrowstyle</span><span class="o">=</span><span class="s1">&#39;-|&gt;&#39;</span><span class="p">,</span> <span class="n">connectionstyle</span><span class="o">=</span><span class="s2">&quot;arc3&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;tab:green&#39;</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">annotate</span><span class="p">(</span><span class="s2">&quot;&quot;</span><span class="p">,</span> <span class="n">xy</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;ua&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.2204</span><span class="p">),</span> <span class="n">xycoords</span><span class="o">=</span><span class="s1">&#39;data&#39;</span><span class="p">,</span> <span class="n">xytext</span><span class="o">=</span><span class="p">(</span><span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="o">-</span><span class="mf">0.4121</span><span class="p">),</span> 
        <span class="n">arrowprops</span><span class="o">=</span><span class="nb">dict</span><span class="p">(</span><span class="n">arrowstyle</span><span class="o">=</span><span class="s1">&#39;-|&gt;&#39;</span><span class="p">,</span> <span class="n">connectionstyle</span><span class="o">=</span><span class="s2">&quot;arc3&quot;</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;tab:green&#39;</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xticks</span><span class="p">(</span><span class="n">NDVs</span><span class="p">);</span> <span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">(</span><span class="n">NDVs</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Uzunoglo (52): correlation with exp. fold rate by SStype.&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span> <span class="n">loc</span><span class="o">=</span><span class="s2">&quot;upper left&quot;</span><span class="p">,</span> <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
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<ul>
<li>Unscaled $p_e$ with ND variants 'x' and 'c':<ul>
<li>peak$E$ correlation with exp. fold rate strengthens for <em>A</em>, but weakens for both <em>B</em> and <em>AB</em>.</li>
<li>unscaled 'x' ('ux') corr. for <em>A</em> is competitive with 'r'.</li>
</ul>
</li>
<li><p>This is expected behavior, since scaling reduces $p_e$ for LE, and findings so far indicate that <em>A</em> will benefit but <em>B</em> will suffer from an increase in $p_e$ of LE.</p>
</li>
<li><p>However, all correlations weaken with unscaled 'a' ('ua'). This could be the lingering of effect of restricting node selection to a local neighborhood (crony).</p>
<ul>
<li>Node selection is more "explorative" with 'c' (selection is by remaining node degree over all nodes) and 'x' (uniform node selection, like 'r').</li>
</ul>
</li>
</ul>

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<h3 id="Combine-unscaled-and-scaled-ND-variants">Combine unscaled and scaled ND variants<a class="anchor-link" href="#Combine-unscaled-and-scaled-ND-variants">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># mixed unscaled and scaled x, with a</span>
<span class="n">alpha_df</span> <span class="o">=</span> <span class="n">ux_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;a&#39;&quot;</span><span class="p">)</span>
<span class="n">alphabeta_df</span> <span class="o">=</span> <span class="n">a_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;ab&#39;&quot;</span><span class="p">)</span>
<span class="n">beta_df</span> <span class="o">=</span> <span class="n">x_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;b&#39;&quot;</span><span class="p">)</span>
<span class="n">uxax_df</span> <span class="o">=</span> <span class="n">alpha_df</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">beta_df</span><span class="p">)</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">alphabeta_df</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">alpha_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">alphabeta_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">beta_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">uxax_df</span><span class="p">))</span>
<span class="n">uxax_rs</span><span class="p">,</span> <span class="n">uxax_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">uxax_df</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;ux-a-x&#39;</span><span class="p">)</span> 
<span class="nb">print</span><span class="p">(</span><span class="n">nd</span><span class="o">.</span><span class="n">mjes_range</span><span class="p">(</span><span class="n">uxax_df</span><span class="o">.</span><span class="n">peakE</span><span class="o">.</span><span class="n">values</span><span class="p">))</span>
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<pre>15 20 17 52
Pearson correlation with exp. fold rate: ux-a-x
All: [-0.7666  0.    ]
A: [-0.5723  0.0258]
AB: [-0.6481  0.002 ]
B: [-0.7052  0.0016]

4.165713579469035
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax1</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Uzunoglo(52) ux-a-x &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">uxax_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">)))</span>
<span class="n">nd</span><span class="o">.</span><span class="n">plot_peakE_by_SStype</span><span class="p">(</span><span class="n">uxax_df</span><span class="p">,</span> <span class="n">ax1</span><span class="p">,</span> <span class="n">uxax_rs</span><span class="p">)</span> 
<span class="n">ax1</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;Combined peak Es from ND variants&quot;</span><span class="p">)</span>
<span class="n">_</span> <span class="o">=</span> <span class="n">ax1</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">)</span>
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<ul>
<li>Best mixed ND-soft model found so far is 'ux-a-x':<ul>
<li>achieves overall correlation of -0.7666, and correlations by SStype are all significant.</li>
<li>uses unscaled 'x' for <em>a</em> type chains (-0.5723, 0.0258).</li>
<li>uses scaled 'a' for <em>ab</em> type chains (-0.6481, 0.002).</li>
<li>uses scaled 'x' for <em>b</em> type chains (-0.7052, 0.0016).</li>
</ul>
</li>
</ul>

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<h3 id="Kamagata-dataset.">Kamagata dataset.<a class="anchor-link" href="#Kamagata-dataset.">&#182;</a></h3><ul>
<li>ND results are much weaker for this dataset, which is dominated by <em>AB</em> chains.</li>
<li>ND 'a' corr. is not much better than with chain length <em>N</em>, but 'a' gives insight into the folding process by suggesting an edge ordering, while <em>N</em> does not and cannot.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dirname</span> <span class="o">=</span> <span class="s2">&quot;Kamagata&quot;</span>
<span class="n">fn</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dirname</span><span class="p">,</span> <span class="s2">&quot;K_foldtype.txt&quot;</span><span class="p">)</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_table</span><span class="p">(</span><span class="n">fn</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39;</span><span class="se">\t</span><span class="s1">&#39;</span><span class="p">)</span>
<span class="c1"># remove outlier &#39;1ael&#39; for ND results</span>
<span class="n">DF</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;pid != &#39;1ael&#39;&quot;</span><span class="p">)</span> <span class="c1"># reserve DF for this purpose!</span>
<span class="n">DF</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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      <th></th>
      <th>pid</th>
      <th>N</th>
      <th>k_f</th>
      <th>SStype</th>
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  <tbody>
    <tr>
      <th>0</th>
      <td>1pgb</td>
      <td>56</td>
      <td>2.78</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2cro</td>
      <td>64</td>
      <td>1.52</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2</th>
      <td>1cei</td>
      <td>85</td>
      <td>2.49</td>
      <td>a</td>
    </tr>
    <tr>
      <th>3</th>
      <td>2abd</td>
      <td>86</td>
      <td>2.81</td>
      <td>a</td>
    </tr>
    <tr>
      <th>4</th>
      <td>1hng</td>
      <td>86</td>
      <td>0.78</td>
      <td>b</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">K_PIDs</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">pid</span><span class="o">.</span><span class="n">values</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">K_PIDs</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">ptp</span><span class="p">(</span><span class="n">DF</span><span class="o">.</span><span class="n">k_f</span><span class="o">.</span><span class="n">values</span><span class="p">),</span> <span class="n">DF</span><span class="o">.</span><span class="n">N</span><span class="o">.</span><span class="n">max</span><span class="p">())</span>
<span class="n">K_SStypes</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">SStype</span><span class="o">.</span><span class="n">values</span>
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<pre>20 4.55 175
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">count_HSTs</span><span class="p">(</span><span class="s2">&quot;Kamagata&quot;</span><span class="p">,</span> <span class="n">K_PIDs</span><span class="p">,</span> <span class="n">K_SStypes</span><span class="p">)</span>
<span class="n">df</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="mi">5</span><span class="p">)</span>
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      <th></th>
      <th>H</th>
      <th>S</th>
      <th>T</th>
      <th>hsr</th>
      <th>SStype</th>
    </tr>
  </thead>
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    <tr>
      <th>1adw</th>
      <td>23</td>
      <td>45</td>
      <td>55</td>
      <td>0.511111</td>
      <td>ab</td>
    </tr>
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      <th>1bni</th>
      <td>24</td>
      <td>25</td>
      <td>59</td>
      <td>0.960000</td>
      <td>ab</td>
    </tr>
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      <th>2a5e</th>
      <td>66</td>
      <td>0</td>
      <td>90</td>
      <td>66.000000</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1bta</th>
      <td>37</td>
      <td>16</td>
      <td>36</td>
      <td>2.312500</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>2rn2</th>
      <td>55</td>
      <td>47</td>
      <td>53</td>
      <td>1.170213</td>
      <td>ab</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># nH &gt; 3, nS &lt; 10</span>
<span class="n">da</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;a&#39;&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">da</span><span class="p">))</span>
<span class="n">da</span>
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<pre>5
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      <th></th>
      <th>H</th>
      <th>S</th>
      <th>T</th>
      <th>hsr</th>
      <th>SStype</th>
    </tr>
  </thead>
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    <tr>
      <th>2cro</th>
      <td>40</td>
      <td>0</td>
      <td>24</td>
      <td>40.0</td>
      <td>a</td>
    </tr>
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      <th>1cei</th>
      <td>49</td>
      <td>2</td>
      <td>34</td>
      <td>24.5</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2abd</th>
      <td>52</td>
      <td>0</td>
      <td>34</td>
      <td>52.0</td>
      <td>a</td>
    </tr>
    <tr>
      <th>1dwr</th>
      <td>115</td>
      <td>0</td>
      <td>37</td>
      <td>115.0</td>
      <td>a</td>
    </tr>
    <tr>
      <th>2a5e</th>
      <td>66</td>
      <td>0</td>
      <td>90</td>
      <td>66.0</td>
      <td>a</td>
    </tr>
  </tbody>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># nH &lt; 3, nS &gt; 10</span>
<span class="n">db</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;b&#39;&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">db</span><span class="p">))</span>
<span class="n">db</span>
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<pre>3
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      <th>1hng</th>
      <td>0</td>
      <td>41</td>
      <td>45</td>
      <td>0.0</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1tit</th>
      <td>0</td>
      <td>33</td>
      <td>56</td>
      <td>0.0</td>
      <td>b</td>
    </tr>
    <tr>
      <th>1ttg</th>
      <td>0</td>
      <td>43</td>
      <td>51</td>
      <td>0.0</td>
      <td>b</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># nH &gt; 3, nS &gt; 10</span>
<span class="n">dab</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;ab&#39;&quot;</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">dab</span><span class="p">))</span>
<span class="n">dab</span>
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<pre>12
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    <tr>
      <th>1pgb</th>
      <td>14</td>
      <td>24</td>
      <td>18</td>
      <td>0.583333</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1gxt</th>
      <td>21</td>
      <td>36</td>
      <td>31</td>
      <td>0.583333</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1bta</th>
      <td>37</td>
      <td>16</td>
      <td>36</td>
      <td>2.312500</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1bni</th>
      <td>24</td>
      <td>25</td>
      <td>59</td>
      <td>0.960000</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1adw</th>
      <td>23</td>
      <td>45</td>
      <td>55</td>
      <td>0.511111</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>3chy</th>
      <td>58</td>
      <td>22</td>
      <td>48</td>
      <td>2.636364</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1joo</th>
      <td>35</td>
      <td>37</td>
      <td>77</td>
      <td>0.945946</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1i1b</th>
      <td>8</td>
      <td>72</td>
      <td>71</td>
      <td>0.111111</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>2rn2</th>
      <td>55</td>
      <td>47</td>
      <td>53</td>
      <td>1.170213</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1ra9</th>
      <td>40</td>
      <td>50</td>
      <td>69</td>
      <td>0.800000</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1l63</th>
      <td>107</td>
      <td>15</td>
      <td>40</td>
      <td>7.133333</td>
      <td>ab</td>
    </tr>
    <tr>
      <th>1php</th>
      <td>69</td>
      <td>27</td>
      <td>79</td>
      <td>2.555556</td>
      <td>ab</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">n_dr</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">frate_corrs_with_N_by_SStype</span><span class="p">(</span><span class="n">DF</span><span class="p">,</span> <span class="s2">&quot;Kamagata(20)&quot;</span><span class="p">)</span>
<span class="n">n_dr</span>
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<pre>Pearson correlation with exp. fold rate: chain-length N 1
All: [-0.5623  0.0099]
A: [-0.5364  0.3513]
AB: [-0.5564  0.0603]
B: [0.996 0.057]

Pearson correlation with exp. fold rate: chain-length N 0.5
All: [-0.5719  0.0084]
A: [-0.4994  0.3917]
AB: [-0.5823  0.047 ]
B: [0.9965 0.0533]

Pearson correlation with exp. fold rate: chain-length N 0.6666666666666666
All: [-0.5691  0.0088]
A: [-0.5124  0.3774]
AB: [-0.5741  0.0509]
B: [0.9963 0.0545]

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      <th></th>
      <th>n_rs</th>
      <th>n_ps</th>
      <th>n12_rs</th>
      <th>n12_ps</th>
      <th>n23_rs</th>
      <th>n23_ps</th>
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      <th>SStype</th>
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      <th></th>
      <th></th>
      <th></th>
      <th></th>
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      <th>Z</th>
      <td>-0.562293</td>
      <td>0.009862</td>
      <td>-0.571902</td>
      <td>0.008422</td>
      <td>-0.569059</td>
      <td>0.008829</td>
    </tr>
    <tr>
      <th>A</th>
      <td>-0.536434</td>
      <td>0.351332</td>
      <td>-0.499379</td>
      <td>0.391687</td>
      <td>-0.512422</td>
      <td>0.377363</td>
    </tr>
    <tr>
      <th>AB</th>
      <td>-0.556397</td>
      <td>0.060275</td>
      <td>-0.582329</td>
      <td>0.046954</td>
      <td>-0.574065</td>
      <td>0.050948</td>
    </tr>
    <tr>
      <th>B</th>
      <td>0.995988</td>
      <td>0.057047</td>
      <td>0.996501</td>
      <td>0.053271</td>
      <td>0.996334</td>
      <td>0.054532</td>
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<h3 id="ND-hard-(ndh)">ND-hard (ndh)<a class="anchor-link" href="#ND-hard-(ndh)">&#182;</a></h3>
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<div class="prompt input_prompt">In&nbsp;[49]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dirn</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">&quot;K_NDH&quot;</span><span class="p">,</span> <span class="s2">&quot;hard&quot;</span><span class="p">)</span>
<span class="n">pid</span> <span class="o">=</span> <span class="s2">&quot;2abd&quot;</span>
<span class="n">fn</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">pid</span> <span class="o">+</span> <span class="s2">&quot;_bsd_hstats_h.out&quot;</span><span class="p">)</span>
<span class="n">dh</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_table</span><span class="p">(</span><span class="n">fn</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39; &#39;</span><span class="p">)</span>
<span class="n">dh</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th></th>
      <th>bid</th>
      <th>fe</th>
      <th>fsc</th>
      <th>sc_mje</th>
      <th>num_sc</th>
      <th>num_scle</th>
      <th>num_nnsc</th>
      <th>num_nnscle</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>0</th>
      <td>2</td>
      <td>0.109661</td>
      <td>0.000000</td>
      <td>0.00</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
      <td>0</td>
    </tr>
    <tr>
      <th>1</th>
      <td>3</td>
      <td>0.210183</td>
      <td>0.476821</td>
      <td>24.92</td>
      <td>72</td>
      <td>0</td>
      <td>83</td>
      <td>0</td>
    </tr>
    <tr>
      <th>2</th>
      <td>4</td>
      <td>0.297650</td>
      <td>0.768212</td>
      <td>-46.39</td>
      <td>116</td>
      <td>0</td>
      <td>107</td>
      <td>0</td>
    </tr>
    <tr>
      <th>3</th>
      <td>5</td>
      <td>0.379896</td>
      <td>0.814570</td>
      <td>81.04</td>
      <td>123</td>
      <td>0</td>
      <td>161</td>
      <td>0</td>
    </tr>
    <tr>
      <th>4</th>
      <td>6</td>
      <td>0.447781</td>
      <td>0.821192</td>
      <td>206.50</td>
      <td>124</td>
      <td>0</td>
      <td>208</td>
      <td>0</td>
    </tr>
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<div class="prompt input_prompt">In&nbsp;[50]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">maxEs</span><span class="p">,</span> <span class="n">argmaxEs</span><span class="p">,</span> <span class="n">maxE_sds</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndh_maxEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">K_PIDs</span><span class="p">)</span>
<span class="n">h_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">maxE</span><span class="o">=</span><span class="n">maxEs</span><span class="p">,</span> <span class="n">maxE_sd</span><span class="o">=</span><span class="n">maxE_sds</span><span class="p">)</span>
<span class="n">h_df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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    <tr style="text-align: right;">
      <th></th>
      <th>pid</th>
      <th>N</th>
      <th>k_f</th>
      <th>SStype</th>
      <th>maxE</th>
      <th>maxE_sd</th>
    </tr>
  </thead>
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    <tr>
      <th>0</th>
      <td>1pgb</td>
      <td>56</td>
      <td>2.78</td>
      <td>ab</td>
      <td>91.88</td>
      <td>11</td>
    </tr>
    <tr>
      <th>1</th>
      <td>2cro</td>
      <td>64</td>
      <td>1.52</td>
      <td>a</td>
      <td>49.89</td>
      <td>13</td>
    </tr>
    <tr>
      <th>2</th>
      <td>1cei</td>
      <td>85</td>
      <td>2.49</td>
      <td>a</td>
      <td>154.90</td>
      <td>10</td>
    </tr>
    <tr>
      <th>3</th>
      <td>2abd</td>
      <td>86</td>
      <td>2.81</td>
      <td>a</td>
      <td>359.52</td>
      <td>12</td>
    </tr>
    <tr>
      <th>4</th>
      <td>1hng</td>
      <td>86</td>
      <td>0.78</td>
      <td>b</td>
      <td>161.08</td>
      <td>17</td>
    </tr>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="nb">print</span><span class="p">(</span><span class="s2">&quot;maxE_sds:&quot;</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">maxE_sds</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">maxE_sds</span><span class="p">,</span> <span class="n">ddof</span><span class="o">=</span><span class="mi">1</span><span class="p">),</span> 
      <span class="n">np</span><span class="o">.</span><span class="n">min</span><span class="p">(</span><span class="n">maxE_sds</span><span class="p">),</span> <span class="n">np</span><span class="o">.</span><span class="n">max</span><span class="p">(</span><span class="n">maxE_sds</span><span class="p">))</span>
<span class="c1"># correlation maxEs with exp. fold rate</span>
<span class="nb">print</span><span class="p">(</span><span class="s2">&quot;maxE Pearson corr. with exp. fold rate:&quot;</span><span class="p">,</span> <span class="n">pearsonr</span><span class="p">(</span><span class="n">maxEs</span><span class="p">,</span> <span class="n">DF</span><span class="o">.</span><span class="n">k_f</span><span class="o">.</span><span class="n">values</span><span class="p">))</span>
<span class="c1"># outlier?</span>
<span class="n">_</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">maxEs</span><span class="p">,</span> <span class="n">DF</span><span class="o">.</span><span class="n">k_f</span><span class="o">.</span><span class="n">values</span><span class="p">)</span>
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<pre>maxE_sds: 20.65 9.166730462297942 10 38
maxE Pearson corr. with exp. fold rate: (-0.350480953363002, 0.12977119399473655)
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l6MiB9mX9eq5mEP8qclfSR7/BFt9aB744/YfrvtuyW9V9ILZRdn25I+Lel8RHyy71u1rdv2mO129rgl6UFJr9a15oiYj4hDETGhrVvn5yLiD+pab4/t22zf0Xusrf7tWdW47oj4gaQ3bPfegfq3JL2iGtfc58O62laR6lZzVRMHFUxUPCnpTUmXtPVb86OSfk5bk1zfyT6/u+/5j2trxnlV0sMV1fwb2rot+5akl7KPD9a5bkm/Kmklq/mspD/Pxmtbc18dv6mrk521rldb/eaXs49zkh5PpO57JC1nPx+Lkt6VQM3vlPTfkn62b6xWNfPKTgBI3LC3VgAgeQQ5ACSOIAeAxBHkAJA4ghwAEkeQA0DiCHIASBxBDgCJ+z/0ZoJL2TLBZwAAAABJRU5ErkJggg==
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">h_rs</span><span class="p">,</span> <span class="n">h_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_maxE_by_SStype</span><span class="p">(</span><span class="n">h_df</span><span class="p">)</span>
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<pre>maxE_sd mean stdev
All: [20.65    9.1667]
A: [17.6     9.7622]
AB: [22.9167  9.6244]
B: [16.6667  4.5092]

Pearson correlation with exp. fold rate: maxE
All: [-0.3505  0.1298]
A: [-0.3426  0.5725]
AB: [-0.3071  0.3316]
B: [0.1789 0.8855]

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<li>K maxE_sd is much larger than UZ.</li>
<li>All corrs. are insignificant.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="n">ax1</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Kamagata h &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">h_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="p">,</span><span class="mi">3</span><span class="p">)),</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">nd</span><span class="o">.</span><span class="n">plot_maxE_by_SStype</span><span class="p">(</span><span class="n">h_df</span><span class="p">,</span> <span class="n">ax1</span><span class="p">,</span> <span class="n">h_rs</span><span class="p">)</span>
<span class="n">_</span> <span class="o">=</span> <span class="n">ax1</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span> <span class="n">loc</span><span class="o">=</span><span class="s2">&quot;upper left&quot;</span><span class="p">,</span> <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">))</span>
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<h3 id="ND-variants:-craxy">ND variants: craxy<a class="anchor-link" href="#ND-variants:-craxy">&#182;</a></h3>
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<div class="prompt input_prompt">In&nbsp;[54]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dirn</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">&quot;K_ND3&quot;</span><span class="p">,</span> <span class="s2">&quot;edv_a&quot;</span><span class="p">)</span>
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<div class="prompt input_prompt">In&nbsp;[55]:</div>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">K_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;a&#39;</span><span class="p">)</span>
<span class="n">a_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">a_rs</span><span class="p">,</span> <span class="n">a_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">a_df</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">K_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;c&#39;</span><span class="p">)</span>
<span class="n">c_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">c_rs</span><span class="p">,</span> <span class="n">c_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">c_df</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">K_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;x&#39;</span><span class="p">)</span>
<span class="n">x_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">x_rs</span><span class="p">,</span> <span class="n">x_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">x_df</span><span class="p">,</span> <span class="s1">&#39;x&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">K_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;r&#39;</span><span class="p">)</span>
<span class="n">r_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">r_rs</span><span class="p">,</span> <span class="n">r_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">r_df</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">K_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;y&#39;</span><span class="p">)</span>
<span class="n">y_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">y_rs</span><span class="p">,</span> <span class="n">y_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">y_df</span><span class="p">,</span> <span class="s1">&#39;y&#39;</span><span class="p">)</span>
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<pre>Pearson correlation with exp. fold rate: a
All: [-0.5618  0.0099]
A: [-0.0612  0.9221]
AB: [-0.6306  0.0279]
B: [-0.0617  0.9607]

Pearson correlation with exp. fold rate: c
All: [-0.5525  0.0115]
A: [-0.2831  0.6444]
AB: [-0.522   0.0817]
B: [-0.0771  0.9509]

Pearson correlation with exp. fold rate: x
All: [-0.5543  0.0112]
A: [-0.1763  0.7767]
AB: [-0.5111  0.0894]
B: [-0.0014  0.9991]

Pearson correlation with exp. fold rate: r
All: [-0.278   0.2354]
A: [-0.3437  0.5712]
AB: [-0.3263  0.3005]
B: [0.0228 0.9855]

Pearson correlation with exp. fold rate: y
All: [-0.0909  0.7031]
A: [-0.4993  0.3918]
AB: [-0.0982  0.7614]
B: [0.0273 0.9826]

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dirn</span> <span class="o">=</span> <span class="n">os</span><span class="o">.</span><span class="n">path</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="s2">&quot;K_ND3&quot;</span><span class="p">,</span> <span class="s2">&quot;notscaled&quot;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">K_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;a_notscaled&#39;</span><span class="p">)</span>
<span class="n">ua_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">ua_rs</span><span class="p">,</span> <span class="n">ua_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">ua_df</span><span class="p">,</span> <span class="s1">&#39;ua&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">K_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;c_notscaled&#39;</span><span class="p">)</span>
<span class="n">uc_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">uc_rs</span><span class="p">,</span> <span class="n">uc_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">uc_df</span><span class="p">,</span> <span class="s1">&#39;uc&#39;</span><span class="p">)</span>

<span class="n">peakEs</span><span class="p">,</span> <span class="n">peakQs</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">get_ndv_peakEs</span><span class="p">(</span><span class="n">dirn</span><span class="p">,</span> <span class="n">K_PIDs</span><span class="p">,</span> <span class="s2">&quot;stats&quot;</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;x_notscaled&#39;</span><span class="p">)</span>
<span class="n">ux_df</span> <span class="o">=</span> <span class="n">DF</span><span class="o">.</span><span class="n">assign</span><span class="p">(</span><span class="n">peakE</span> <span class="o">=</span> <span class="n">peakEs</span><span class="p">)</span>
<span class="n">ux_rs</span><span class="p">,</span> <span class="n">ux_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">ux_df</span><span class="p">,</span> <span class="s1">&#39;ux&#39;</span><span class="p">)</span>
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<pre>Pearson correlation with exp. fold rate: ua
All: [-0.3502  0.1301]
A: [0.0087 0.989 ]
AB: [-0.4751  0.1186]
B: [-0.0931  0.9407]

Pearson correlation with exp. fold rate: uc
All: [-0.4824  0.0312]
A: [-0.2302  0.7095]
AB: [-0.6005  0.039 ]
B: [-0.0823  0.9475]

Pearson correlation with exp. fold rate: ux
All: [-0.4338  0.056 ]
A: [-0.2483  0.6871]
AB: [-0.4988  0.0988]
B: [-0.0094  0.994 ]

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<h3 id="Summary-of-results-for-analysis-of-K-by-SS-type:">Summary of results for analysis of K by SS type:<a class="anchor-link" href="#Summary-of-results-for-analysis-of-K-by-SS-type:">&#182;</a></h3>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Kcorrs_dr</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">({</span><span class="s1">&#39;SStype&#39;</span><span class="p">:</span> <span class="p">[</span><span class="s1">&#39;Z&#39;</span><span class="p">,</span> <span class="s1">&#39;A&#39;</span><span class="p">,</span> <span class="s1">&#39;AB&#39;</span><span class="p">,</span> <span class="s1">&#39;B&#39;</span><span class="p">],</span> 
                <span class="s1">&#39;y_rs&#39;</span><span class="p">:</span> <span class="n">y_rs</span><span class="p">,</span> <span class="s1">&#39;y_ps&#39;</span><span class="p">:</span> <span class="n">y_ps</span><span class="p">,</span> <span class="s1">&#39;r_rs&#39;</span><span class="p">:</span> <span class="n">r_rs</span><span class="p">,</span> <span class="s1">&#39;r_ps&#39;</span><span class="p">:</span> <span class="n">r_ps</span><span class="p">,</span>
                <span class="s1">&#39;ua_rs&#39;</span><span class="p">:</span> <span class="n">ua_rs</span><span class="p">,</span> <span class="s1">&#39;ua_ps&#39;</span><span class="p">:</span> <span class="n">ua_ps</span><span class="p">,</span> <span class="s1">&#39;a_rs&#39;</span><span class="p">:</span> <span class="n">a_rs</span><span class="p">,</span> <span class="s1">&#39;a_ps&#39;</span><span class="p">:</span> <span class="n">a_ps</span><span class="p">,</span> 
                <span class="s1">&#39;uc_rs&#39;</span><span class="p">:</span> <span class="n">uc_rs</span><span class="p">,</span> <span class="s1">&#39;uc_ps&#39;</span><span class="p">:</span> <span class="n">uc_ps</span><span class="p">,</span> <span class="s1">&#39;c_rs&#39;</span><span class="p">:</span> <span class="n">c_rs</span><span class="p">,</span> <span class="s1">&#39;c_ps&#39;</span><span class="p">:</span> <span class="n">c_ps</span><span class="p">,</span> 
                <span class="s1">&#39;ux_rs&#39;</span><span class="p">:</span> <span class="n">ux_rs</span><span class="p">,</span> <span class="s1">&#39;ux_ps&#39;</span><span class="p">:</span> <span class="n">ux_ps</span><span class="p">,</span> <span class="s1">&#39;x_rs&#39;</span><span class="p">:</span> <span class="n">x_rs</span><span class="p">,</span> <span class="s1">&#39;x_ps&#39;</span><span class="p">:</span> <span class="n">x_ps</span><span class="p">,</span> 
                <span class="s1">&#39;h_rs&#39;</span><span class="p">:</span> <span class="n">h_rs</span><span class="p">,</span> <span class="s1">&#39;h_ps&#39;</span><span class="p">:</span> <span class="n">h_ps</span><span class="p">,</span> <span class="p">})</span><span class="o">.</span><span class="n">set_index</span><span class="p">(</span><span class="s1">&#39;SStype&#39;</span><span class="p">)</span>
<span class="n">Kcorrs_dr</span> <span class="o">=</span> <span class="n">Kcorrs_dr</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="n">n_dr</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">Kcorrs_dr</span><span class="o">.</span><span class="n">to_csv</span><span class="p">(</span><span class="s2">&quot;KCorrs_dr.txt&quot;</span><span class="p">,</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39; &#39;</span><span class="p">)</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">CDF</span> <span class="o">=</span> <span class="n">Kcorrs_dr</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="n">regex</span><span class="o">=</span><span class="s2">&quot;_rs&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
<span class="n">CDF</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="mi">4</span><span class="p">)</span>
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<style scoped>
    .dataframe tbody tr th:only-of-type {
        vertical-align: middle;
    }

    .dataframe tbody tr th {
        vertical-align: top;
    }

    .dataframe thead th {
        text-align: right;
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</style>
<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th>SStype</th>
      <th>Z</th>
      <th>A</th>
      <th>AB</th>
      <th>B</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>y_rs</th>
      <td>-0.0909</td>
      <td>-0.4993</td>
      <td>-0.0982</td>
      <td>0.0273</td>
    </tr>
    <tr>
      <th>r_rs</th>
      <td>-0.2780</td>
      <td>-0.3437</td>
      <td>-0.3263</td>
      <td>0.0228</td>
    </tr>
    <tr>
      <th>ua_rs</th>
      <td>-0.3502</td>
      <td>0.0087</td>
      <td>-0.4751</td>
      <td>-0.0931</td>
    </tr>
    <tr>
      <th>a_rs</th>
      <td>-0.5618</td>
      <td>-0.0612</td>
      <td>-0.6306</td>
      <td>-0.0617</td>
    </tr>
    <tr>
      <th>uc_rs</th>
      <td>-0.4824</td>
      <td>-0.2302</td>
      <td>-0.6005</td>
      <td>-0.0823</td>
    </tr>
    <tr>
      <th>c_rs</th>
      <td>-0.5525</td>
      <td>-0.2831</td>
      <td>-0.5220</td>
      <td>-0.0771</td>
    </tr>
    <tr>
      <th>ux_rs</th>
      <td>-0.4338</td>
      <td>-0.2483</td>
      <td>-0.4988</td>
      <td>-0.0094</td>
    </tr>
    <tr>
      <th>x_rs</th>
      <td>-0.5543</td>
      <td>-0.1763</td>
      <td>-0.5111</td>
      <td>-0.0014</td>
    </tr>
    <tr>
      <th>h_rs</th>
      <td>-0.3505</td>
      <td>-0.3426</td>
      <td>-0.3071</td>
      <td>0.1789</td>
    </tr>
    <tr>
      <th>n_rs</th>
      <td>-0.5623</td>
      <td>-0.5364</td>
      <td>-0.5564</td>
      <td>0.9960</td>
    </tr>
    <tr>
      <th>n12_rs</th>
      <td>-0.5719</td>
      <td>-0.4994</td>
      <td>-0.5823</td>
      <td>0.9965</td>
    </tr>
    <tr>
      <th>n23_rs</th>
      <td>-0.5691</td>
      <td>-0.5124</td>
      <td>-0.5741</td>
      <td>0.9963</td>
    </tr>
  </tbody>
</table>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">CDF</span><span class="o">.</span><span class="n">Z</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span>
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<pre>n12_rs   -0.571902
n23_rs   -0.569059
n_rs     -0.562293
a_rs     -0.561783
x_rs     -0.554254
c_rs     -0.552456
uc_rs    -0.482393
ux_rs    -0.433768
h_rs     -0.350481
ua_rs    -0.350213
r_rs     -0.277979
y_rs     -0.090915
Name: Z, dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">CDF</span><span class="o">.</span><span class="n">A</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span>
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<pre>n_rs     -0.536434
n23_rs   -0.512422
n12_rs   -0.499379
y_rs     -0.499269
r_rs     -0.343654
h_rs     -0.342557
c_rs     -0.283099
ux_rs    -0.248295
uc_rs    -0.230229
x_rs     -0.176308
a_rs     -0.061210
ua_rs     0.008665
Name: A, dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">CDF</span><span class="o">.</span><span class="n">AB</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span>
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<pre>a_rs     -0.630587
uc_rs    -0.600451
n12_rs   -0.582329
n23_rs   -0.574065
n_rs     -0.556397
c_rs     -0.521978
x_rs     -0.511124
ux_rs    -0.498820
ua_rs    -0.475065
r_rs     -0.326349
h_rs     -0.307109
y_rs     -0.098194
Name: AB, dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">CDF</span><span class="o">.</span><span class="n">B</span><span class="o">.</span><span class="n">sort_values</span><span class="p">()</span>
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<pre>ua_rs    -0.093051
uc_rs    -0.082309
c_rs     -0.077122
a_rs     -0.061738
ux_rs    -0.009396
x_rs     -0.001361
r_rs      0.022767
y_rs      0.027334
h_rs      0.178924
n_rs      0.995988
n23_rs    0.996334
n12_rs    0.996501
Name: B, dtype: float64</pre>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">NDVs</span> <span class="o">=</span> <span class="p">[</span><span class="s1">&#39;y&#39;</span><span class="p">,</span> <span class="s1">&#39;r&#39;</span><span class="p">,</span> <span class="s1">&#39;ua&#39;</span><span class="p">,</span> <span class="s1">&#39;a&#39;</span><span class="p">,</span> <span class="s1">&#39;uc&#39;</span><span class="p">,</span> <span class="s1">&#39;c&#39;</span><span class="p">,</span> <span class="s1">&#39;ux&#39;</span><span class="p">,</span> <span class="s1">&#39;x&#39;</span><span class="p">,</span> <span class="s1">&#39;h&#39;</span><span class="p">,</span> <span class="s1">&#39;N&#39;</span><span class="p">,</span> <span class="s1">&#39;N1/2&#39;</span><span class="p">,</span> <span class="s1">&#39;N2/3&#39;</span><span class="p">]</span>
<span class="c1"># smaller (more negative) is better</span>
<span class="n">fig</span><span class="p">,</span> <span class="n">ax</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">()</span>
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">NDVs</span><span class="p">,</span> <span class="n">CDF</span><span class="o">.</span><span class="n">A</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;^&#39;</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;green&#39;</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;A&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">NDVs</span><span class="p">,</span> <span class="n">CDF</span><span class="o">.</span><span class="n">AB</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;orange&#39;</span><span class="p">,</span> <span class="n">lw</span><span class="o">=</span><span class="mi">2</span><span class="p">,</span> <span class="n">s</span><span class="o">=</span><span class="mi">60</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;AB&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">NDVs</span><span class="p">,</span> <span class="n">CDF</span><span class="o">.</span><span class="n">B</span><span class="o">.</span><span class="n">values</span><span class="p">,</span> <span class="n">marker</span><span class="o">=</span><span class="s1">&#39;s&#39;</span><span class="p">,</span> <span class="n">edgecolor</span><span class="o">=</span><span class="s1">&#39;magenta&#39;</span><span class="p">,</span> <span class="n">facecolor</span><span class="o">=</span><span class="s1">&#39;none&#39;</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">&#39;B&#39;</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xticks</span><span class="p">(</span><span class="n">NDVs</span><span class="p">);</span> <span class="n">ax</span><span class="o">.</span><span class="n">set_xticklabels</span><span class="p">(</span><span class="n">NDVs</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s2">&quot;LE &lt;--- priority ---&gt; SE&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;Kamagata (20): correlation with exp. fold rate by SS type.&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
<span class="n">ax</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">12</span><span class="p">,</span> <span class="n">loc</span><span class="o">=</span><span class="s2">&quot;upper left&quot;</span><span class="p">,</span> <span class="n">bbox_to_anchor</span><span class="o">=</span><span class="p">(</span><span class="mf">1.0</span><span class="p">,</span> <span class="mf">1.0</span><span class="p">))</span>
<span class="n">ax</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dp</span> <span class="o">=</span> <span class="n">Kcorrs_dr</span><span class="o">.</span><span class="n">filter</span><span class="p">(</span><span class="n">regex</span><span class="o">=</span><span class="s2">&quot;_ps&quot;</span><span class="p">)</span><span class="o">.</span><span class="n">T</span>
<span class="n">db</span> <span class="o">=</span> <span class="n">dp</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</span> <span class="o">&lt;</span> <span class="mf">0.05</span><span class="p">)</span>
<span class="n">db</span>
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<table border="1" class="dataframe">
  <thead>
    <tr style="text-align: right;">
      <th>SStype</th>
      <th>Z</th>
      <th>A</th>
      <th>AB</th>
      <th>B</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>y_ps</th>
      <td>False</td>
      <td>False</td>
      <td>False</td>
      <td>False</td>
    </tr>
    <tr>
      <th>r_ps</th>
      <td>False</td>
      <td>False</td>
      <td>False</td>
      <td>False</td>
    </tr>
    <tr>
      <th>ua_ps</th>
      <td>False</td>
      <td>False</td>
      <td>False</td>
      <td>False</td>
    </tr>
    <tr>
      <th>a_ps</th>
      <td>True</td>
      <td>False</td>
      <td>True</td>
      <td>False</td>
    </tr>
    <tr>
      <th>uc_ps</th>
      <td>True</td>
      <td>False</td>
      <td>True</td>
      <td>False</td>
    </tr>
    <tr>
      <th>c_ps</th>
      <td>True</td>
      <td>False</td>
      <td>False</td>
      <td>False</td>
    </tr>
    <tr>
      <th>ux_ps</th>
      <td>False</td>
      <td>False</td>
      <td>False</td>
      <td>False</td>
    </tr>
    <tr>
      <th>x_ps</th>
      <td>True</td>
      <td>False</td>
      <td>False</td>
      <td>False</td>
    </tr>
    <tr>
      <th>h_ps</th>
      <td>False</td>
      <td>False</td>
      <td>False</td>
      <td>False</td>
    </tr>
    <tr>
      <th>n_ps</th>
      <td>True</td>
      <td>False</td>
      <td>False</td>
      <td>False</td>
    </tr>
    <tr>
      <th>n12_ps</th>
      <td>True</td>
      <td>False</td>
      <td>True</td>
      <td>False</td>
    </tr>
    <tr>
      <th>n23_ps</th>
      <td>True</td>
      <td>False</td>
      <td>False</td>
      <td>False</td>
    </tr>
  </tbody>
</table>
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<ul>
<li>As observed previously with UZ, 'y' and 'r' perform better (but insig.) for A chains, and 'a' produces strongest (and sig.) corr. for AB. However, no ND variant produces a sig. corr. for <em>B</em>.</li>
<li>Except for ND variants 'a' an 'uc' on AB chains, the corrs. by chain SStype are insignificant (p-value &lt; 0.05). </li>
<li>Data problem: <em>A</em> and <em>B</em> classes have fewer than 10 chains each.</li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># combine y-a-ua</span>
<span class="n">alpha_df</span> <span class="o">=</span> <span class="n">y_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;a&#39;&quot;</span><span class="p">)</span>
<span class="n">alphabeta_df</span> <span class="o">=</span> <span class="n">a_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;ab&#39;&quot;</span><span class="p">)</span>
<span class="n">beta_df</span> <span class="o">=</span> <span class="n">ua_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;b&#39;&quot;</span><span class="p">)</span>
<span class="n">yaua_df</span> <span class="o">=</span> <span class="n">alpha_df</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">beta_df</span><span class="p">)</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">alphabeta_df</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">alpha_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">alphabeta_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">beta_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">yaua_df</span><span class="p">))</span>
<span class="n">yaua_rs</span><span class="p">,</span> <span class="n">yaua_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">yaua_df</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;y-a-ua&#39;</span><span class="p">)</span> 
<span class="nb">print</span><span class="p">(</span><span class="n">nd</span><span class="o">.</span><span class="n">mjes_range</span><span class="p">(</span><span class="n">yaua_df</span><span class="o">.</span><span class="n">peakE</span><span class="o">.</span><span class="n">values</span><span class="p">))</span>
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<pre>5 12 3 20
Pearson correlation with exp. fold rate: y-a-ua
All: [0.1176 0.6215]
A: [-0.4993  0.3918]
AB: [-0.6306  0.0279]
B: [-0.0931  0.9407]

3.5322812572893088
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># combine ux-a-ua</span>
<span class="n">alpha_df</span> <span class="o">=</span> <span class="n">ux_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;a&#39;&quot;</span><span class="p">)</span>
<span class="n">alphabeta_df</span> <span class="o">=</span> <span class="n">a_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;ab&#39;&quot;</span><span class="p">)</span>
<span class="n">beta_df</span> <span class="o">=</span> <span class="n">ua_df</span><span class="o">.</span><span class="n">query</span><span class="p">(</span><span class="s2">&quot;SStype == &#39;b&#39;&quot;</span><span class="p">)</span>
<span class="n">uxaua_df</span> <span class="o">=</span> <span class="n">alpha_df</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">beta_df</span><span class="p">)</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">alphabeta_df</span><span class="p">)</span>
<span class="nb">print</span><span class="p">(</span><span class="nb">len</span><span class="p">(</span><span class="n">alpha_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">alphabeta_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">beta_df</span><span class="p">),</span> <span class="nb">len</span><span class="p">(</span><span class="n">uxaua_df</span><span class="p">))</span>
<span class="n">uxaua_rs</span><span class="p">,</span> <span class="n">uxaua_ps</span> <span class="o">=</span> <span class="n">nd</span><span class="o">.</span><span class="n">analyze_peakE_by_SStype</span><span class="p">(</span><span class="n">uxaua_df</span><span class="p">,</span> <span class="n">ndv</span><span class="o">=</span><span class="s1">&#39;ux-a-ua&#39;</span><span class="p">)</span> 
<span class="nb">print</span><span class="p">(</span><span class="n">nd</span><span class="o">.</span><span class="n">mjes_range</span><span class="p">(</span><span class="n">uxaua_df</span><span class="o">.</span><span class="n">peakE</span><span class="o">.</span><span class="n">values</span><span class="p">))</span>
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<pre>5 12 3 20
Pearson correlation with exp. fold rate: ux-a-ua
All: [-0.5784  0.0076]
A: [-0.2483  0.6871]
AB: [-0.6306  0.0279]
B: [-0.0931  0.9407]

3.0378335189840704
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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">,</span> <span class="n">ax3</span><span class="p">)</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">4</span><span class="p">),</span> <span class="n">constrained_layout</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
<span class="n">plt</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s2">&quot;Kamagata(20): combined peak Es&quot;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>

<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;y-a-ua &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">yaua_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">)))</span>
<span class="n">nd</span><span class="o">.</span><span class="n">plot_peakE_by_SStype</span><span class="p">(</span><span class="n">yaua_df</span><span class="p">,</span> <span class="n">ax1</span><span class="p">,</span> <span class="n">yaua_rs</span><span class="p">)</span> 
<span class="n">ax1</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">)</span>

<span class="n">ax2</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;ux-a-ua &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">uxaua_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">)))</span>
<span class="n">nd</span><span class="o">.</span><span class="n">plot_peakE_by_SStype</span><span class="p">(</span><span class="n">uxaua_df</span><span class="p">,</span> <span class="n">ax2</span><span class="p">,</span> <span class="n">uxaua_rs</span><span class="p">)</span> 
<span class="n">ax2</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">)</span>

<span class="n">ax3</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s2">&quot;a &quot;</span> <span class="o">+</span> <span class="nb">str</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="n">a_rs</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="mi">3</span><span class="p">)))</span>
<span class="n">nd</span><span class="o">.</span><span class="n">plot_peakE_by_SStype</span><span class="p">(</span><span class="n">a_df</span><span class="p">,</span> <span class="n">ax3</span><span class="p">,</span> <span class="n">a_rs</span><span class="p">)</span> 
<span class="n">_</span> <span class="o">=</span> <span class="n">ax3</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">title</span><span class="o">=</span><span class="s2">&quot;SStype&quot;</span><span class="p">)</span>
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<h2 id="End-of-notebook">End of notebook<a class="anchor-link" href="#End-of-notebook">&#182;</a></h2><p style="font-family: monospace;">SKLC January 2021</p>
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