ols_model_using_pga_tour_data.html

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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;
  background-color: #398439;
  border-color: #255625;
}
.notification_widget.success:active,
.notification_widget.success.active,
.open > .dropdown-toggle.notification_widget.success {
  background-image: none;
}
.notification_widget.success.disabled:hover,
.notification_widget.success[disabled]:hover,
fieldset[disabled] .notification_widget.success:hover,
.notification_widget.success.disabled:focus,
.notification_widget.success[disabled]:focus,
fieldset[disabled] .notification_widget.success:focus,
.notification_widget.success.disabled.focus,
.notification_widget.success[disabled].focus,
fieldset[disabled] .notification_widget.success.focus {
  background-color: #5cb85c;
  border-color: #4cae4c;
}
.notification_widget.success .badge {
  color: #5cb85c;
  background-color: #fff;
}
.notification_widget.info {
  color: #fff;
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info:focus,
.notification_widget.info.focus {
  color: #fff;
  background-color: #31b0d5;
  border-color: #1b6d85;
}
.notification_widget.info:hover {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  color: #fff;
  background-color: #31b0d5;
  border-color: #269abc;
}
.notification_widget.info:active:hover,
.notification_widget.info.active:hover,
.open > .dropdown-toggle.notification_widget.info:hover,
.notification_widget.info:active:focus,
.notification_widget.info.active:focus,
.open > .dropdown-toggle.notification_widget.info:focus,
.notification_widget.info:active.focus,
.notification_widget.info.active.focus,
.open > .dropdown-toggle.notification_widget.info.focus {
  color: #fff;
  background-color: #269abc;
  border-color: #1b6d85;
}
.notification_widget.info:active,
.notification_widget.info.active,
.open > .dropdown-toggle.notification_widget.info {
  background-image: none;
}
.notification_widget.info.disabled:hover,
.notification_widget.info[disabled]:hover,
fieldset[disabled] .notification_widget.info:hover,
.notification_widget.info.disabled:focus,
.notification_widget.info[disabled]:focus,
fieldset[disabled] .notification_widget.info:focus,
.notification_widget.info.disabled.focus,
.notification_widget.info[disabled].focus,
fieldset[disabled] .notification_widget.info.focus {
  background-color: #5bc0de;
  border-color: #46b8da;
}
.notification_widget.info .badge {
  color: #5bc0de;
  background-color: #fff;
}
.notification_widget.danger {
  color: #fff;
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger:focus,
.notification_widget.danger.focus {
  color: #fff;
  background-color: #c9302c;
  border-color: #761c19;
}
.notification_widget.danger:hover {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  color: #fff;
  background-color: #c9302c;
  border-color: #ac2925;
}
.notification_widget.danger:active:hover,
.notification_widget.danger.active:hover,
.open > .dropdown-toggle.notification_widget.danger:hover,
.notification_widget.danger:active:focus,
.notification_widget.danger.active:focus,
.open > .dropdown-toggle.notification_widget.danger:focus,
.notification_widget.danger:active.focus,
.notification_widget.danger.active.focus,
.open > .dropdown-toggle.notification_widget.danger.focus {
  color: #fff;
  background-color: #ac2925;
  border-color: #761c19;
}
.notification_widget.danger:active,
.notification_widget.danger.active,
.open > .dropdown-toggle.notification_widget.danger {
  background-image: none;
}
.notification_widget.danger.disabled:hover,
.notification_widget.danger[disabled]:hover,
fieldset[disabled] .notification_widget.danger:hover,
.notification_widget.danger.disabled:focus,
.notification_widget.danger[disabled]:focus,
fieldset[disabled] .notification_widget.danger:focus,
.notification_widget.danger.disabled.focus,
.notification_widget.danger[disabled].focus,
fieldset[disabled] .notification_widget.danger.focus {
  background-color: #d9534f;
  border-color: #d43f3a;
}
.notification_widget.danger .badge {
  color: #d9534f;
  background-color: #fff;
}
div#pager {
  background-color: #fff;
  font-size: 14px;
  line-height: 20px;
  overflow: hidden;
  display: none;
  position: fixed;
  bottom: 0px;
  width: 100%;
  max-height: 50%;
  padding-top: 8px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.2);
  /* Display over codemirror */
  z-index: 100;
  /* Hack which prevents jquery ui resizable from changing top. */
  top: auto !important;
}
div#pager pre {
  line-height: 1.21429em;
  color: #000;
  background-color: #f7f7f7;
  padding: 0.4em;
}
div#pager #pager-button-area {
  position: absolute;
  top: 8px;
  right: 20px;
}
div#pager #pager-contents {
  position: relative;
  overflow: auto;
  width: 100%;
  height: 100%;
}
div#pager #pager-contents #pager-container {
  position: relative;
  padding: 15px 0px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
div#pager .ui-resizable-handle {
  top: 0px;
  height: 8px;
  background: #f7f7f7;
  border-top: 1px solid #cfcfcf;
  border-bottom: 1px solid #cfcfcf;
  /* This injects handle bars (a short, wide = symbol) for 
        the resize handle. */
}
div#pager .ui-resizable-handle::after {
  content: '';
  top: 2px;
  left: 50%;
  height: 3px;
  width: 30px;
  margin-left: -15px;
  position: absolute;
  border-top: 1px solid #cfcfcf;
}
.quickhelp {
  /* Old browsers */
  display: -webkit-box;
  -webkit-box-orient: horizontal;
  -webkit-box-align: stretch;
  display: -moz-box;
  -moz-box-orient: horizontal;
  -moz-box-align: stretch;
  display: box;
  box-orient: horizontal;
  box-align: stretch;
  /* Modern browsers */
  display: flex;
  flex-direction: row;
  align-items: stretch;
  line-height: 1.8em;
}
.shortcut_key {
  display: inline-block;
  width: 21ex;
  text-align: right;
  font-family: monospace;
}
.shortcut_descr {
  display: inline-block;
  /* Old browsers */
  -webkit-box-flex: 1;
  -moz-box-flex: 1;
  box-flex: 1;
  /* Modern browsers */
  flex: 1;
}
span.save_widget {
  height: 30px;
  margin-top: 4px;
  display: flex;
  justify-content: flex-start;
  align-items: baseline;
  width: 50%;
  flex: 1;
}
span.save_widget span.filename {
  height: 100%;
  line-height: 1em;
  margin-left: 16px;
  border: none;
  font-size: 146.5%;
  text-overflow: ellipsis;
  overflow: hidden;
  white-space: nowrap;
  border-radius: 2px;
}
span.save_widget span.filename:hover {
  background-color: #e6e6e6;
}
[dir="rtl"] span.save_widget.pull-left {
  float: right !important;
  float: right;
}
[dir="rtl"] span.save_widget span.filename {
  margin-left: 0;
  margin-right: 16px;
}
span.checkpoint_status,
span.autosave_status {
  font-size: small;
  white-space: nowrap;
  padding: 0 5px;
}
@media (max-width: 767px) {
  span.save_widget {
    font-size: small;
    padding: 0 0 0 5px;
  }
  span.checkpoint_status,
  span.autosave_status {
    display: none;
  }
}
@media (min-width: 768px) and (max-width: 991px) {
  span.checkpoint_status {
    display: none;
  }
  span.autosave_status {
    font-size: x-small;
  }
}
.toolbar {
  padding: 0px;
  margin-left: -5px;
  margin-top: 2px;
  margin-bottom: 5px;
  box-sizing: border-box;
  -moz-box-sizing: border-box;
  -webkit-box-sizing: border-box;
}
.toolbar select,
.toolbar label {
  width: auto;
  vertical-align: middle;
  margin-right: 2px;
  margin-bottom: 0px;
  display: inline;
  font-size: 92%;
  margin-left: 0.3em;
  margin-right: 0.3em;
  padding: 0px;
  padding-top: 3px;
}
.toolbar .btn {
  padding: 2px 8px;
}
.toolbar .btn-group {
  margin-top: 0px;
  margin-left: 5px;
}
.toolbar-btn-label {
  margin-left: 6px;
}
#maintoolbar {
  margin-bottom: -3px;
  margin-top: -8px;
  border: 0px;
  min-height: 27px;
  margin-left: 0px;
  padding-top: 11px;
  padding-bottom: 3px;
}
#maintoolbar .navbar-text {
  float: none;
  vertical-align: middle;
  text-align: right;
  margin-left: 5px;
  margin-right: 0px;
  margin-top: 0px;
}
.select-xs {
  height: 24px;
}
[dir="rtl"] .btn-group > .btn,
.btn-group-vertical > .btn {
  float: right;
}
.pulse,
.dropdown-menu > li > a.pulse,
li.pulse > a.dropdown-toggle,
li.pulse.open > a.dropdown-toggle {
  background-color: #F37626;
  color: white;
}
/**
 * Primary styles
 *
 * Author: Jupyter Development Team
 */
/** WARNING IF YOU ARE EDITTING THIS FILE, if this is a .css file, It has a lot
 * of chance of beeing generated from the ../less/[samename].less file, you can
 * try to get back the less file by reverting somme commit in history
 **/
/*
 * We'll try to get something pretty, so we
 * have some strange css to have the scroll bar on
 * the left with fix button on the top right of the tooltip
 */
@-moz-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-webkit-keyframes fadeOut {
  from {
    opacity: 1;
  }
  to {
    opacity: 0;
  }
}
@-moz-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
@-webkit-keyframes fadeIn {
  from {
    opacity: 0;
  }
  to {
    opacity: 1;
  }
}
/*properties of tooltip after "expand"*/
.bigtooltip {
  overflow: auto;
  height: 200px;
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
}
/*properties of tooltip before "expand"*/
.smalltooltip {
  -webkit-transition-property: height;
  -webkit-transition-duration: 500ms;
  -moz-transition-property: height;
  -moz-transition-duration: 500ms;
  transition-property: height;
  transition-duration: 500ms;
  text-overflow: ellipsis;
  overflow: hidden;
  height: 80px;
}
.tooltipbuttons {
  position: absolute;
  padding-right: 15px;
  top: 0px;
  right: 0px;
}
.tooltiptext {
  /*avoid the button to overlap on some docstring*/
  padding-right: 30px;
}
.ipython_tooltip {
  max-width: 700px;
  /*fade-in animation when inserted*/
  -webkit-animation: fadeOut 400ms;
  -moz-animation: fadeOut 400ms;
  animation: fadeOut 400ms;
  -webkit-animation: fadeIn 400ms;
  -moz-animation: fadeIn 400ms;
  animation: fadeIn 400ms;
  vertical-align: middle;
  background-color: #f7f7f7;
  overflow: visible;
  border: #ababab 1px solid;
  outline: none;
  padding: 3px;
  margin: 0px;
  padding-left: 7px;
  font-family: monospace;
  min-height: 50px;
  -moz-box-shadow: 0px 6px 10px -1px #adadad;
  -webkit-box-shadow: 0px 6px 10px -1px #adadad;
  box-shadow: 0px 6px 10px -1px #adadad;
  border-radius: 2px;
  position: absolute;
  z-index: 1000;
}
.ipython_tooltip a {
  float: right;
}
.ipython_tooltip .tooltiptext pre {
  border: 0;
  border-radius: 0;
  font-size: 100%;
  background-color: #f7f7f7;
}
.pretooltiparrow {
  left: 0px;
  margin: 0px;
  top: -16px;
  width: 40px;
  height: 16px;
  overflow: hidden;
  position: absolute;
}
.pretooltiparrow:before {
  background-color: #f7f7f7;
  border: 1px #ababab solid;
  z-index: 11;
  content: "";
  position: absolute;
  left: 15px;
  top: 10px;
  width: 25px;
  height: 25px;
  -webkit-transform: rotate(45deg);
  -moz-transform: rotate(45deg);
  -ms-transform: rotate(45deg);
  -o-transform: rotate(45deg);
}
ul.typeahead-list i {
  margin-left: -10px;
  width: 18px;
}
[dir="rtl"] ul.typeahead-list i {
  margin-left: 0;
  margin-right: -10px;
}
ul.typeahead-list {
  max-height: 80vh;
  overflow: auto;
}
ul.typeahead-list > li > a {
  /** Firefox bug **/
  /* see https://github.com/jupyter/notebook/issues/559 */
  white-space: normal;
}
ul.typeahead-list  > li > a.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .typeahead-list {
  text-align: right;
}
.cmd-palette .modal-body {
  padding: 7px;
}
.cmd-palette form {
  background: white;
}
.cmd-palette input {
  outline: none;
}
.no-shortcut {
  min-width: 20px;
  color: transparent;
}
[dir="rtl"] .no-shortcut.pull-right {
  float: left !important;
  float: left;
}
[dir="rtl"] .command-shortcut.pull-right {
  float: left !important;
  float: left;
}
.command-shortcut:before {
  content: "(command mode)";
  padding-right: 3px;
  color: #777777;
}
.edit-shortcut:before {
  content: "(edit)";
  padding-right: 3px;
  color: #777777;
}
[dir="rtl"] .edit-shortcut.pull-right {
  float: left !important;
  float: left;
}
#find-and-replace #replace-preview .match,
#find-and-replace #replace-preview .insert {
  background-color: #BBDEFB;
  border-color: #90CAF9;
  border-style: solid;
  border-width: 1px;
  border-radius: 0px;
}
[dir="ltr"] #find-and-replace .input-group-btn + .form-control {
  border-left: none;
}
[dir="rtl"] #find-and-replace .input-group-btn + .form-control {
  border-right: none;
}
#find-and-replace #replace-preview .replace .match {
  background-color: #FFCDD2;
  border-color: #EF9A9A;
  border-radius: 0px;
}
#find-and-replace #replace-preview .replace .insert {
  background-color: #C8E6C9;
  border-color: #A5D6A7;
  border-radius: 0px;
}
#find-and-replace #replace-preview {
  max-height: 60vh;
  overflow: auto;
}
#find-and-replace #replace-preview pre {
  padding: 5px 10px;
}
.terminal-app {
  background: #EEE;
}
.terminal-app #header {
  background: #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);
}
.terminal-app .terminal {
  width: 100%;
  float: left;
  font-family: monospace;
  color: white;
  background: black;
  padding: 0.4em;
  border-radius: 2px;
  -webkit-box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
  box-shadow: 0px 0px 12px 1px rgba(87, 87, 87, 0.4);
}
.terminal-app .terminal,
.terminal-app .terminal dummy-screen {
  line-height: 1em;
  font-size: 14px;
}
.terminal-app .terminal .xterm-rows {
  padding: 10px;
}
.terminal-app .terminal-cursor {
  color: black;
  background: white;
}
.terminal-app #terminado-container {
  margin-top: 20px;
}
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<style type="text/css">
    .highlight .hll { background-color: #ffffcc }
.highlight  { background: #f8f8f8; }
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.highlight .o { color: #666666 } /* Operator */
.highlight .ch { color: #408080; font-style: italic } /* Comment.Hashbang */
.highlight .cm { color: #408080; font-style: italic } /* Comment.Multiline */
.highlight .cp { color: #BC7A00 } /* Comment.Preproc */
.highlight .cpf { color: #408080; font-style: italic } /* Comment.PreprocFile */
.highlight .c1 { color: #408080; font-style: italic } /* Comment.Single */
.highlight .cs { color: #408080; font-style: italic } /* Comment.Special */
.highlight .gd { color: #A00000 } /* Generic.Deleted */
.highlight .ge { font-style: italic } /* Generic.Emph */
.highlight .gr { color: #FF0000 } /* Generic.Error */
.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
.highlight .gi { color: #00A000 } /* Generic.Inserted */
.highlight .go { color: #888888 } /* Generic.Output */
.highlight .gp { color: #000080; font-weight: bold } /* Generic.Prompt */
.highlight .gs { font-weight: bold } /* Generic.Strong */
.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
.highlight .gt { color: #0044DD } /* Generic.Traceback */
.highlight .kc { color: #008000; font-weight: bold } /* Keyword.Constant */
.highlight .kd { color: #008000; font-weight: bold } /* Keyword.Declaration */
.highlight .kn { color: #008000; font-weight: bold } /* Keyword.Namespace */
.highlight .kp { color: #008000 } /* Keyword.Pseudo */
.highlight .kr { color: #008000; font-weight: bold } /* Keyword.Reserved */
.highlight .kt { color: #B00040 } /* Keyword.Type */
.highlight .m { color: #666666 } /* Literal.Number */
.highlight .s { color: #BA2121 } /* Literal.String */
.highlight .na { color: #7D9029 } /* Name.Attribute */
.highlight .nb { color: #008000 } /* Name.Builtin */
.highlight .nc { color: #0000FF; font-weight: bold } /* Name.Class */
.highlight .no { color: #880000 } /* Name.Constant */
.highlight .nd { color: #AA22FF } /* Name.Decorator */
.highlight .ni { color: #999999; font-weight: bold } /* Name.Entity */
.highlight .ne { color: #D2413A; font-weight: bold } /* Name.Exception */
.highlight .nf { color: #0000FF } /* Name.Function */
.highlight .nl { color: #A0A000 } /* Name.Label */
.highlight .nn { color: #0000FF; font-weight: bold } /* Name.Namespace */
.highlight .nt { color: #008000; font-weight: bold } /* Name.Tag */
.highlight .nv { color: #19177C } /* Name.Variable */
.highlight .ow { color: #AA22FF; font-weight: bold } /* Operator.Word */
.highlight .w { color: #bbbbbb } /* Text.Whitespace */
.highlight .mb { color: #666666 } /* Literal.Number.Bin */
.highlight .mf { color: #666666 } /* Literal.Number.Float */
.highlight .mh { color: #666666 } /* Literal.Number.Hex */
.highlight .mi { color: #666666 } /* Literal.Number.Integer */
.highlight .mo { color: #666666 } /* Literal.Number.Oct */
.highlight .sa { color: #BA2121 } /* Literal.String.Affix */
.highlight .sb { color: #BA2121 } /* Literal.String.Backtick */
.highlight .sc { color: #BA2121 } /* Literal.String.Char */
.highlight .dl { color: #BA2121 } /* Literal.String.Delimiter */
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.highlight .s2 { color: #BA2121 } /* Literal.String.Double */
.highlight .se { color: #BB6622; font-weight: bold } /* Literal.String.Escape */
.highlight .sh { color: #BA2121 } /* Literal.String.Heredoc */
.highlight .si { color: #BB6688; font-weight: bold } /* Literal.String.Interpol */
.highlight .sx { color: #008000 } /* Literal.String.Other */
.highlight .sr { color: #BB6688 } /* Literal.String.Regex */
.highlight .s1 { color: #BA2121 } /* Literal.String.Single */
.highlight .ss { color: #19177C } /* Literal.String.Symbol */
.highlight .bp { color: #008000 } /* Name.Builtin.Pseudo */
.highlight .fm { color: #0000FF } /* Name.Function.Magic */
.highlight .vc { color: #19177C } /* Name.Variable.Class */
.highlight .vg { color: #19177C } /* Name.Variable.Global */
.highlight .vi { color: #19177C } /* Name.Variable.Instance */
.highlight .vm { color: #19177C } /* Name.Variable.Magic */
.highlight .il { color: #666666 } /* Literal.Number.Integer.Long */
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<style type="text/css">
/* Overrides of notebook CSS for static HTML export */
body {
  overflow: visible;
  padding: 8px;
}

div#notebook {
  overflow: visible;
  border-top: none;
}@media print {
  div.cell {
    display: block;
    page-break-inside: avoid;
  } 
  div.output_wrapper { 
    display: block;
    page-break-inside: avoid; 
  }
  div.output { 
    display: block;
    page-break-inside: avoid; 
  }
}
</style>

<!-- Custom stylesheet, it must be in the same directory as the html file -->
<link rel="stylesheet" href="custom.css">

<!-- Loading mathjax macro -->
<!-- Load mathjax -->
    <script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.5/latest.js?config=TeX-AMS_HTML"></script>
    <!-- MathJax configuration -->
    <script type="text/x-mathjax-config">
    MathJax.Hub.Config({
        tex2jax: {
            inlineMath: [ ['$','$'], ["\\(","\\)"] ],
            displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
            processEscapes: true,
            processEnvironments: true
        },
        // Center justify equations in code and markdown cells. Elsewhere
        // we use CSS to left justify single line equations in code cells.
        displayAlign: 'center',
        "HTML-CSS": {
            styles: {'.MathJax_Display': {"margin": 0}},
            linebreaks: { automatic: true }
        }
    });
    </script>
    <!-- End of mathjax configuration --></head>
<body>
  <div tabindex="-1" id="notebook" class="border-box-sizing">
    <div class="container" id="notebook-container">

<div class="cell border-box-sizing text_cell rendered"><div class="prompt input_prompt">
</div><div class="inner_cell">
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<p>The goal of this notebook is to use ordinary least squares regression to provide golfers with a meaningful way to improve their scoring average. I want to make clear that this regression likely won't be great for predicting scoring averages. There are many variables (nearly 1500 in the dataset) that can be used to predict someone's average golf score. Due to this, it's unlikely that any single variable is going to be able to reliably predict an all-encompassing statistic such as scoring average. So all I want to do is see if there's some facet of golf that players can focus on improving. If they target that part of their game, then perhaps thier scoring average will consequently improve . Thus this OLS regression will aim to justify some sort of mild linear relationship between a predictor variable and scoring average.</p>

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<p><a id='ToC'></a></p>

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<h1 id="Table-of-Contents">Table of Contents<a class="anchor-link" href="#Table-of-Contents">&#182;</a></h1><ul>
<li><a href="#data_explore">Data Exploration</a><ul>
<li><a href="#data_clean">Data Cleanup</a></li>
<li><a href="#corr_analysis">Correlation Analysis</a></li>
</ul>
</li>
<li><a href="#OLS">Ordinary Least Squares Regression Model</a><ul>
<li><a href="#OLS_analysis">OLS Model Analysis</a>     </li>
</ul>
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<li><a href="#summary">Summary</a>  </li>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">pandas</span> <span class="k">as</span> <span class="nn">pd</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">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
<span class="kn">import</span> <span class="nn">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
<span class="kn">from</span> <span class="nn">scipy.stats</span> <span class="kn">import</span> <span class="n">linregress</span>
<span class="kn">from</span> <span class="nn">sklearn</span> <span class="kn">import</span> <span class="n">metrics</span>
<span class="kn">import</span> <span class="nn">statsmodels.api</span> <span class="k">as</span> <span class="nn">sm</span>
<span class="kn">import</span> <span class="nn">statsmodels.stats.diagnostic</span> <span class="k">as</span> <span class="nn">smd</span>
<span class="kn">from</span> <span class="nn">sklearn.model_selection</span> <span class="kn">import</span> <span class="n">train_test_split</span>
<span class="kn">from</span> <span class="nn">scipy.stats</span> <span class="kn">import</span> <span class="n">gaussian_kde</span>
<span class="kn">from</span> <span class="nn">statsmodels.graphics.gofplots</span> <span class="kn">import</span> <span class="n">ProbPlot</span>
<span class="kn">from</span> <span class="nn">scipy</span> <span class="kn">import</span> <span class="n">stats</span>
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<p><a id='data_explore'></a></p>

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<h1 id="Data-Exploration">Data Exploration<a class="anchor-link" href="#Data-Exploration">&#182;</a></h1><p><a href="#ToC">Back to Table of Contents</a></p>
<p>This dataset consists of many measures for individual golfers on the PGA Tour. Each golfer has data for nearly 1500 variables, which is also grouped by date. 
So after each week, each golfer's data is updated and a new entry is made for them.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Load CSV file data into a dataframe.</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s2">&quot;/kaggle/input/pga-tour-20102018-data/2019_data.csv&quot;</span><span class="p">)</span>
<span class="n">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>Player Name</th>
      <th>Date</th>
      <th>Statistic</th>
      <th>Variable</th>
      <th>Value</th>
    </tr>
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    <tr>
      <th>0</th>
      <td>Cameron Champ</td>
      <td>2019-08-25</td>
      <td>Driving Distance</td>
      <td>Driving Distance - (ROUNDS)</td>
      <td>78</td>
    </tr>
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      <th>1</th>
      <td>Rory McIlroy</td>
      <td>2019-08-25</td>
      <td>Driving Distance</td>
      <td>Driving Distance - (ROUNDS)</td>
      <td>72</td>
    </tr>
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      <th>2</th>
      <td>Luke List</td>
      <td>2019-08-25</td>
      <td>Driving Distance</td>
      <td>Driving Distance - (ROUNDS)</td>
      <td>66</td>
    </tr>
    <tr>
      <th>3</th>
      <td>Dustin Johnson</td>
      <td>2019-08-25</td>
      <td>Driving Distance</td>
      <td>Driving Distance - (ROUNDS)</td>
      <td>73</td>
    </tr>
    <tr>
      <th>4</th>
      <td>Wyndham Clark</td>
      <td>2019-08-25</td>
      <td>Driving Distance</td>
      <td>Driving Distance - (ROUNDS)</td>
      <td>87</td>
    </tr>
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<p><a id='data_clean'></a></p>

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<h2 id="Data-Cleanup">Data Cleanup<a class="anchor-link" href="#Data-Cleanup">&#182;</a></h2><p><a href="#ToC">Back to Table of Contents</a></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Transpose the statistic variables such that there is 1 golfer per row, each with columns for</span>
<span class="c1"># every statistic variable.</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">set_index</span><span class="p">([</span><span class="s1">&#39;Player Name&#39;</span><span class="p">,</span> <span class="s1">&#39;Variable&#39;</span><span class="p">,</span> <span class="s1">&#39;Date&#39;</span><span class="p">])[</span><span class="s1">&#39;Value&#39;</span><span class="p">]</span><span class="o">.</span><span class="n">unstack</span><span class="p">(</span><span class="s1">&#39;Variable&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">reset_index</span><span class="p">()</span>

<span class="c1"># Typecast the Date column to datetime objects so they can be quantified.</span>
<span class="n">df</span><span class="p">[</span><span class="s1">&#39;Date&#39;</span><span class="p">]</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">to_datetime</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;Date&#39;</span><span class="p">])</span>

<span class="c1"># Select data from 8/25/19, which was the end of the 2018-2019 PGA season.</span>
<span class="n">df</span> <span class="o">=</span> <span class="n">df</span><span class="p">[(</span><span class="n">df</span><span class="p">[</span><span class="s1">&#39;Date&#39;</span><span class="p">]</span> <span class="o">==</span> <span class="s1">&#39;2019-08-25&#39;</span><span class="p">)]</span>

<span class="c1"># Typecast data points to numeric data types, except Player Name and Date columns.</span>
<span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span> <span class="mi">2</span><span class="p">:]</span> <span class="o">=</span> <span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span> <span class="mi">2</span><span class="p">:]</span><span class="o">.</span><span class="n">apply</span><span class="p">(</span><span class="n">pd</span><span class="o">.</span><span class="n">to_numeric</span><span class="p">,</span> <span class="n">errors</span><span class="o">=</span><span class="s1">&#39;coerce&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">fillna</span><span class="p">(</span><span class="mi">0</span><span class="p">)</span>

<span class="n">df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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      <th>Variable</th>
      <th>Player Name</th>
      <th>Date</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (# OF TOP 10'S)</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (# OF WINS)</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (%)</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (EVENTS)</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (PLAYOFF POINTS WON)</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (POTENTIAL PTS)</th>
      <th>% of Potential Pts won - FedExCup Regular Season - (# OF TOP 10'S)</th>
      <th>% of Potential Pts won - FedExCup Regular Season - (# OF WINS)</th>
      <th>...</th>
      <th>Total Eagles - (ROUNDS)</th>
      <th>Total Eagles - (TOTAL)</th>
      <th>Total Hole Outs - (HOLE OUTS)</th>
      <th>Total Hole Outs - (ROUNDS)</th>
      <th>Total Money (Official and Unofficial) - (EVENTS)</th>
      <th>Total Money (Official and Unofficial) - (MONEY)</th>
      <th>Total Putting - (EVENTS)</th>
      <th>Total Putting - (TOTAL)</th>
      <th>Victory Leaders - (EVENTS)</th>
      <th>Victory Leaders - (VICTORIES)</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>9</th>
      <td>NaN</td>
      <td>2019-08-25</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.00</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>...</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
    </tr>
    <tr>
      <th>61</th>
      <td>Aaron Baddeley</td>
      <td>2019-08-25</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.00</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>3.0</td>
      <td>0.0</td>
      <td>...</td>
      <td>55.0</td>
      <td>4.0</td>
      <td>11.0</td>
      <td>55.0</td>
      <td>18.0</td>
      <td>0.0</td>
      <td>18.0</td>
      <td>85.7</td>
      <td>18.0</td>
      <td>0.0</td>
    </tr>
    <tr>
      <th>92</th>
      <td>Aaron Pike</td>
      <td>2019-08-25</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.00</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>...</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
    </tr>
    <tr>
      <th>123</th>
      <td>Aaron Rai</td>
      <td>2019-08-25</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.00</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>...</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>2.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>2.0</td>
      <td>0.0</td>
    </tr>
    <tr>
      <th>154</th>
      <td>Aaron Wise</td>
      <td>2019-08-25</td>
      <td>0.0</td>
      <td>0.0</td>
      <td>2.03</td>
      <td>21.0</td>
      <td>41.0</td>
      <td>0.0</td>
      <td>1.0</td>
      <td>0.0</td>
      <td>...</td>
      <td>72.0</td>
      <td>3.0</td>
      <td>6.0</td>
      <td>72.0</td>
      <td>21.0</td>
      <td>0.0</td>
      <td>21.0</td>
      <td>268.8</td>
      <td>21.0</td>
      <td>0.0</td>
    </tr>
  </tbody>
</table>
<p>5 rows × 1498 columns</p>
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<p>The data seems to be zero-inflated. This makes sense because there are more than 1000 golfers in the dataset, and many either don't play often, or certain data just isn't collected from them because they're lesser known players.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Check all of the statistic variables available in the dataset.</span>
<span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">df</span><span class="o">.</span><span class="n">columns</span><span class="p">[</span><span class="mi">2</span><span class="p">:]:</span>
    <span class="nb">print</span><span class="p">(</span><span class="n">col</span><span class="p">)</span>
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<pre>% of Potential Pts won - FedExCup Playoffs - (# OF TOP 10&#39;S)
% of Potential Pts won - FedExCup Playoffs - (# OF WINS)
% of Potential Pts won - FedExCup Playoffs - (%)
% of Potential Pts won - FedExCup Playoffs - (EVENTS)
% of Potential Pts won - FedExCup Playoffs - (PLAYOFF POINTS WON)
% of Potential Pts won - FedExCup Playoffs - (POTENTIAL PTS)
% of Potential Pts won - FedExCup Regular Season - (# OF TOP 10&#39;S)
% of Potential Pts won - FedExCup Regular Season - (# OF WINS)
% of Potential Pts won - FedExCup Regular Season - (%)
% of Potential Pts won - FedExCup Regular Season - (EVENTS)
% of Potential Pts won - FedExCup Regular Season - (POINTS WON)
% of Potential Pts won - FedExCup Regular Season - (POTENTIAL PTS)
1-Putts per Round - (AVG)
1-Putts per Round - (ROUNDS)
1-Putts per Round - (TOTAL 1 PUTTS)
1-Putts per Round - (TOTAL ROUNDS)
11-25 Final Round Performance - (# OF TIMES IMPROVED)
11-25 Final Round Performance - (% TIMES IMPROVED)
11-25 Final Round Performance - (EVENTS)
2-Putts per Round - (AVG)
2-Putts per Round - (ROUNDS)
2-Putts per Round - (TOTAL 2 PUTTS)
2-Putts per Round - (TOTAL ROUNDS)
25+ Final Round Performance - (# OF TIMES IMPROVED)
25+ Final Round Performance - (% TIMES IMPROVED)
25+ Final Round Performance - (EVENTS)
3+ Putts per Round - (AVG)
3+ Putts per Round - (ROUNDS)
3+ Putts per Round - (TOTAL 3+ PUTTS)
3+ Putts per Round - (TOTAL ROUNDS)
3-Putt Avoidance - (%)
3-Putt Avoidance - (ROUNDS)
3-Putt Avoidance - (TOTAL 3 PUTTS)
3-Putt Avoidance - (TOTAL HOLES (OVERALL))
3-Putt Avoidance - 10-15&#39; - (%)
3-Putt Avoidance - 10-15&#39; - (2 PUTT OR BETTER %)
3-Putt Avoidance - 10-15&#39; - (ATTEMPTS)
3-Putt Avoidance - 10-15&#39; - (ROUNDS)
3-Putt Avoidance - 10-15&#39; - (TOTAL 3 PUTTS)
3-Putt Avoidance - 15-20&#39; - (%)
3-Putt Avoidance - 15-20&#39; - (2 PUTT OR BETTER %)
3-Putt Avoidance - 15-20&#39; - (ATTEMPTS)
3-Putt Avoidance - 15-20&#39; - (ROUNDS)
3-Putt Avoidance - 15-20&#39; - (TOTAL 3 PUTTS)
3-Putt Avoidance - 20-25&#39; - (%)
3-Putt Avoidance - 20-25&#39; - (2 PUTT OR BETTER %)
3-Putt Avoidance - 20-25&#39; - (ATTEMPTS)
3-Putt Avoidance - 20-25&#39; - (ROUNDS)
3-Putt Avoidance - 20-25&#39; - (TOTAL 3 PUTTS)
3-Putt Avoidance - 5-10&#39; - (%)
3-Putt Avoidance - 5-10&#39; - (2 PUTT OR BETTER %)
3-Putt Avoidance - 5-10&#39; - (ATTEMPTS)
3-Putt Avoidance - 5-10&#39; - (ROUNDS)
3-Putt Avoidance - 5-10&#39; - (TOTAL 3 PUTTS)
3-Putt Avoidance - Inside 5&#39; - (%)
3-Putt Avoidance - Inside 5&#39; - (2 PUTT OR BETTER %)
3-Putt Avoidance - Inside 5&#39; - (ATTEMPTS)
3-Putt Avoidance - Inside 5&#39; - (ROUNDS)
3-Putt Avoidance - Inside 5&#39; - (TOTAL 3 PUTTS)
3-Putt Avoidance &gt; 25&#39; - (%)
3-Putt Avoidance &gt; 25&#39; - (2 PUTT OR BETTER %)
3-Putt Avoidance &gt; 25&#39; - (ATTEMPTS)
3-Putt Avoidance &gt; 25&#39; - (ROUNDS)
3-Putt Avoidance &gt; 25&#39; - (TOTAL 3 PUTTS)
3-Putts per Round - (AVG)
3-Putts per Round - (ROUNDS)
3-Putts per Round - (TOTAL 3 PUTTS)
3-Putts per Round - (TOTAL ROUNDS)
6-10 Final Round Performance - (# OF TIMES IMPROVED)
6-10 Final Round Performance - (% TIMES IMPROVED)
6-10 Final Round Performance - (EVENTS)
Accuracy Rating - (EVENTS)
Accuracy Rating - (RATING)
All-Around Ranking - (EVENTS)
All-Around Ranking - (TOTAL)
Apex Height - (AVG.)
Apex Height - (HIGHEST APEX POINT)
Apex Height - (LOWEST APEX POINT)
Apex Height - (ROUNDS)
Apex Height - (TOTAL APEX HEIGHT)
Apex Height - (TOTAL ATTEMPTS)
Approach 100-125 yards (RTP Score) - (AVG RTP)
Approach 100-125 yards (RTP Score) - (ROUNDS)
Approach 125-150 yards (RTP Score) - (AVG RTP)
Approach 125-150 yards (RTP Score) - (ROUNDS)
Approach 150-175 yards (RTP Score) - (AVG RTP)
Approach 150-175 yards (RTP Score) - (ROUNDS)
Approach 175-200 yards (RTP Score) - (AVG RTP)
Approach 175-200 yards (RTP Score) - (ROUNDS)
Approach 200-225 yards (RTP) - (AVG RTP)
Approach 200-225 yards (RTP) - (ROUNDS)
Approach 225-250 yards (RTP) - (AVG RTP)
Approach 225-250 yards (RTP) - (ROUNDS)
Approach 250-275 yards (RTP) - (AVG RTP)
Approach 250-275 yards (RTP) - (ROUNDS)
Approach 50-75 yards (RTP Score) - (AVG RTP)
Approach 50-75 yards (RTP Score) - (ROUNDS)
Approach 75-100 yards (RTP Score) - (AVG RTP)
Approach 75-100 yards (RTP Score) - (ROUNDS)
Approach &lt; 125 yards (RTP Score) - (AVG RTP)
Approach &lt; 125 yards (RTP Score) - (ROUNDS)
Approach &gt; 200 yards (RTP Score) - (AVG RTP)
Approach &gt; 200 yards (RTP Score) - (ROUNDS)
Approach &gt; 275 yards (RTP) - (AVG RTP)
Approach &gt; 275 yards (RTP) - (ROUNDS)
Approach Putt Performance - (ATTEMPTS)
Approach Putt Performance - (ROUNDS)
Approach Putt Performance - (TOTAL DISTANCE (FEET))
Approach Putt Performance - (VALUE)
Approaches 100-125 yards-Rgh (RTP) - (AVG RTP)
Approaches 100-125 yards-Rgh (RTP) - (ROUNDS)
Approaches 125-150 yards-Rgh (RTP) - (AVG RTP)
Approaches 125-150 yards-Rgh (RTP) - (ROUNDS)
Approaches 150-175 yards-Rgh (RTP) - (AVG RTP)
Approaches 150-175 yards-Rgh (RTP) - (ROUNDS)
Approaches 175-200 yards-Rgh (RTP) - (AVG RTP)
Approaches 175-200 yards-Rgh (RTP) - (ROUNDS)
Approaches 200-225 yards-Rgh (RTP) - (AVG RTP)
Approaches 200-225 yards-Rgh (RTP) - (ROUNDS)
Approaches 225-250 yards-Rgh (RTP) - (AVG RTP)
Approaches 225-250 yards-Rgh (RTP) - (ROUNDS)
Approaches 250-275 yards-Rgh (RTP) - (AVG RTP)
Approaches 250-275 yards-Rgh (RTP) - (ROUNDS)
Approaches 50-125 yards-Rgh (RTP) - (AVG RTP)
Approaches 50-125 yards-Rgh (RTP) - (ROUNDS)
Approaches 50-75 yards-Rgh (RTP) - (AVG RTP)
Approaches 50-75 yards-Rgh (RTP) - (ROUNDS)
Approaches 75-100 yards-Rgh (RTP) - (AVG RTP)
Approaches 75-100 yards-Rgh (RTP) - (ROUNDS)
Approaches &lt; 100 yards-Rgh (RTP) - (AVG RTP)
Approaches &lt; 100 yards-Rgh (RTP) - (ROUNDS)
Approaches &gt; 100 yards-Rgh (RTP) - (AVG RTP)
Approaches &gt; 100 yards-Rgh (RTP) - (ROUNDS)
Approaches &gt; 200 yards-Rgh (RTP) - (AVG RTP)
Approaches &gt; 200 yards-Rgh (RTP) - (ROUNDS)
Approaches &gt; 275 yards-Rgh (RTP) - (AVG RTP)
Approaches &gt; 275 yards-Rgh (RTP) - (ROUNDS)
Approaches Left Rough (RTP Score) - (AVG RTP)
Approaches Left Rough (RTP Score) - (ROUNDS)
Approaches Right Rough (RTP Score) - (AVG RTP)
Approaches Right Rough (RTP Score) - (ROUNDS)
Approaches from 100-125 yards (Rgh) - (# OF ATTEMPTS)
Approaches from 100-125 yards (Rgh) - (AVG)
Approaches from 100-125 yards (Rgh) - (RELATIVE TO PAR)
Approaches from 100-125 yards (Rgh) - (ROUNDS)
Approaches from 100-125 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from 100-125 yards - (# OF ATTEMPTS)
Approaches from 100-125 yards - (AVG)
Approaches from 100-125 yards - (RELATIVE TO PAR)
Approaches from 100-125 yards - (ROUNDS)
Approaches from 100-125 yards - (TOTAL DISTANCE (FEET))
Approaches from 125-150 yards (Rgh) - (# OF ATTEMPTS)
Approaches from 125-150 yards (Rgh) - (AVG)
Approaches from 125-150 yards (Rgh) - (RELATIVE TO PAR)
Approaches from 125-150 yards (Rgh) - (ROUNDS)
Approaches from 125-150 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from 125-150 yards - (# OF ATTEMPTS)
Approaches from 125-150 yards - (AVG)
Approaches from 125-150 yards - (RELATIVE TO PAR)
Approaches from 125-150 yards - (ROUNDS)
Approaches from 125-150 yards - (TOTAL DISTANCE (FEET))
Approaches from 150-175 yards (Rgh) - (# OF ATTEMPTS)
Approaches from 150-175 yards (Rgh) - (AVG)
Approaches from 150-175 yards (Rgh) - (RELATIVE TO PAR)
Approaches from 150-175 yards (Rgh) - (ROUNDS)
Approaches from 150-175 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from 150-175 yards - (# OF ATTEMPTS)
Approaches from 150-175 yards - (AVG)
Approaches from 150-175 yards - (RELATIVE TO PAR)
Approaches from 150-175 yards - (ROUNDS)
Approaches from 150-175 yards - (TOTAL DISTANCE (FEET))
Approaches from 175-200 yards (Rgh) - (# OF ATTEMPTS)
Approaches from 175-200 yards (Rgh) - (AVG)
Approaches from 175-200 yards (Rgh) - (RELATIVE TO PAR)
Approaches from 175-200 yards (Rgh) - (ROUNDS)
Approaches from 175-200 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from 175-200 yards - (# OF ATTEMPTS)
Approaches from 175-200 yards - (AVG)
Approaches from 175-200 yards - (RELATIVE TO PAR)
Approaches from 175-200 yards - (ROUNDS)
Approaches from 175-200 yards - (TOTAL DISTANCE (FEET))
Approaches from 200-225 yards (Rgh) - (# OF ATTEMPTS)
Approaches from 200-225 yards (Rgh) - (AVG)
Approaches from 200-225 yards (Rgh) - (RELATIVE TO PAR)
Approaches from 200-225 yards (Rgh) - (ROUNDS)
Approaches from 200-225 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from 200-225 yards - (# OF ATTEMPTS)
Approaches from 200-225 yards - (AVG)
Approaches from 200-225 yards - (RELATIVE TO PAR)
Approaches from 200-225 yards - (ROUNDS)
Approaches from 200-225 yards - (TOTAL DISTANCE (FEET))
Approaches from 225-250 yards (Rgh) - (# OF ATTEMPTS)
Approaches from 225-250 yards (Rgh) - (AVG)
Approaches from 225-250 yards (Rgh) - (RELATIVE TO PAR)
Approaches from 225-250 yards (Rgh) - (ROUNDS)
Approaches from 225-250 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from 225-250 yards - (# OF ATTEMPTS)
Approaches from 225-250 yards - (AVG)
Approaches from 225-250 yards - (RELATIVE TO PAR)
Approaches from 225-250 yards - (ROUNDS)
Approaches from 225-250 yards - (TOTAL DISTANCE (FEET))
Approaches from 250-275 yards (Rgh) - (# OF ATTEMPTS)
Approaches from 250-275 yards (Rgh) - (AVG)
Approaches from 250-275 yards (Rgh) - (RELATIVE TO PAR)
Approaches from 250-275 yards (Rgh) - (ROUNDS)
Approaches from 250-275 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from 250-275 yards - (# OF ATTEMPTS)
Approaches from 250-275 yards - (AVG)
Approaches from 250-275 yards - (RELATIVE TO PAR)
Approaches from 250-275 yards - (ROUNDS)
Approaches from 250-275 yards - (TOTAL DISTANCE (FEET))
Approaches from 50-125 yards (Rgh) - (# OF ATTEMPTS)
Approaches from 50-125 yards (Rgh) - (AVG)
Approaches from 50-125 yards (Rgh) - (RELATIVE TO PAR)
Approaches from 50-125 yards (Rgh) - (ROUNDS)
Approaches from 50-125 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from 50-125 yards - (# OF ATTEMPTS)
Approaches from 50-125 yards - (AVG)
Approaches from 50-125 yards - (RELATIVE TO PAR)
Approaches from 50-125 yards - (ROUNDS)
Approaches from 50-125 yards - (TOTAL DISTANCE (FEET))
Approaches from 50-75 yards (Rgh) - (# OF ATTEMPTS)
Approaches from 50-75 yards (Rgh) - (AVG)
Approaches from 50-75 yards (Rgh) - (RELATIVE TO PAR)
Approaches from 50-75 yards (Rgh) - (ROUNDS)
Approaches from 50-75 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from 50-75 yards - (# OF ATTEMPTS)
Approaches from 50-75 yards - (AVG)
Approaches from 50-75 yards - (RELATIVE TO PAR)
Approaches from 50-75 yards - (ROUNDS)
Approaches from 50-75 yards - (TOTAL DISTANCE (FEET))
Approaches from 75-100 yards (Rgh) - (# OF ATTEMPTS)
Approaches from 75-100 yards (Rgh) - (AVG)
Approaches from 75-100 yards (Rgh) - (RELATIVE TO PAR)
Approaches from 75-100 yards (Rgh) - (ROUNDS)
Approaches from 75-100 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from 75-100 yards - (# OF ATTEMPTS)
Approaches from 75-100 yards - (AVG)
Approaches from 75-100 yards - (RELATIVE TO PAR)
Approaches from 75-100 yards - (ROUNDS)
Approaches from 75-100 yards - (TOTAL DISTANCE (FEET))
Approaches from &gt; 100 yards (Rgh) - (# OF ATTEMPTS)
Approaches from &gt; 100 yards (Rgh) - (AVG)
Approaches from &gt; 100 yards (Rgh) - (RELATIVE TO PAR)
Approaches from &gt; 100 yards (Rgh) - (ROUNDS)
Approaches from &gt; 100 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from &gt; 100 yards - (# OF ATTEMPTS)
Approaches from &gt; 100 yards - (AVG)
Approaches from &gt; 100 yards - (RELATIVE TO PAR)
Approaches from &gt; 100 yards - (ROUNDS)
Approaches from &gt; 100 yards - (TOTAL DISTANCE (FEET))
Approaches from &gt; 200 yards (Rgh) - (# OF ATTEMPTS)
Approaches from &gt; 200 yards (Rgh) - (AVG)
Approaches from &gt; 200 yards (Rgh) - (RELATIVE TO PAR)
Approaches from &gt; 200 yards (Rgh) - (ROUNDS)
Approaches from &gt; 200 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from &gt; 200 yards - (# OF ATTEMPTS)
Approaches from &gt; 200 yards - (AVG)
Approaches from &gt; 200 yards - (RELATIVE TO PAR)
Approaches from &gt; 200 yards - (ROUNDS)
Approaches from &gt; 200 yards - (TOTAL DISTANCE (FEET))
Approaches from &gt; 275 yards (Rgh) - (# OF ATTEMPTS)
Approaches from &gt; 275 yards (Rgh) - (AVG)
Approaches from &gt; 275 yards (Rgh) - (RELATIVE TO PAR)
Approaches from &gt; 275 yards (Rgh) - (ROUNDS)
Approaches from &gt; 275 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from &gt; 275 yards - (# OF ATTEMPTS)
Approaches from &gt; 275 yards - (AVG)
Approaches from &gt; 275 yards - (RELATIVE TO PAR)
Approaches from &gt; 275 yards - (ROUNDS)
Approaches from &gt; 275 yards - (TOTAL DISTANCE (FEET))
Approaches from inside 100 yards (Rgh) - (# OF ATTEMPTS)
Approaches from inside 100 yards (Rgh) - (AVG)
Approaches from inside 100 yards (Rgh) - (RELATIVE TO PAR)
Approaches from inside 100 yards (Rgh) - (ROUNDS)
Approaches from inside 100 yards (Rgh) - (TOTAL DISTANCE (FEET))
Approaches from inside 100 yards - (# OF ATTEMPTS)
Approaches from inside 100 yards - (AVG)
Approaches from inside 100 yards - (RELATIVE TO PAR)
Approaches from inside 100 yards - (ROUNDS)
Approaches from inside 100 yards - (TOTAL DISTANCE (FEET))
Average Approach Distance - Birdie or Better - (AVG (YARDS))
Average Approach Distance - Birdie or Better - (NUMBER OF APPROACH SHOTS)
Average Approach Distance - Birdie or Better - (ROUNDS)
Average Approach Distance - Birdie or Better - (TOTAL DISTANCE (INCHES))
Average Approach Distance - Bogey or Worse - (AVG (YARDS))
Average Approach Distance - Bogey or Worse - (NUMBER OF APPROACH SHOTS)
Average Approach Distance - Bogey or Worse - (ROUNDS)
Average Approach Distance - Bogey or Worse - (TOTAL DISTANCE (INCHES))
Average Approach Distance - Par - (AVG (YARDS))
Average Approach Distance - Par - (NUMBER OF APPROACH SHOTS)
Average Approach Distance - Par - (ROUNDS)
Average Approach Distance - Par - (TOTAL DISTANCE (INCHES))
Average Approach Shot Distance - (AVG)
Average Approach Shot Distance - (ROUNDS)
Average Approach Shot Distance - (TOTAL DIST OF APPR SHOT)
Average Approach Shot Distance - (TOTAL HOLES)
Average Distance after Going for it Shot - (AVG)
Average Distance after Going for it Shot - (ROUNDS)
Average Distance after Going for it Shot - (TOTAL DIST AFTER GFG SHOT)
Average Distance after Going for it Shot - (TOTAL GFG SHOTS)
Average Distance of Birdie putts made - (AVG)
Average Distance of Birdie putts made - (LONGEST MADE (FT))
Average Distance of Birdie putts made - (ROUNDS)
Average Distance of Birdie putts made - (SHORTEST MADE (FT))
Average Distance of Birdie putts made - (TOT BIRDIE PUTTS MADE)
Average Distance of Birdie putts made - (TOT DIST. (FT))
Average Distance of Eagle putts made - (AVG)
Average Distance of Eagle putts made - (LONGEST MADE (FT))
Average Distance of Eagle putts made - (ROUNDS)
Average Distance of Eagle putts made - (SHORTEST MADE (FT))
Average Distance of Eagle putts made - (TOT DIST (FT))
Average Distance of Eagle putts made - (TOT EAGLES PUTTS MADE.)
Average Distance of Putts made - (AVG DIST.)
Average Distance of Putts made - (AVG)
Average Distance of Putts made - (BEST ROUND)
Average Distance of Putts made - (ROUNDS)
Average Distance of Putts made - (TOTAL DIST. (INCHES))
Average Distance of Putts made - (TOTAL ROUNDS)
Average Distance to Hole After Tee Shot - (AVG)
Average Distance to Hole After Tee Shot - (ROUNDS)
Average Distance to Hole After Tee Shot - (TOTAL DIST AFTER TEE SHOT)
Average Distance to Hole After Tee Shot - (TOTAL TEE SHOTS)
Average Going for it Shot Distance (in Yards) - (ATTEMPTS)
Average Going for it Shot Distance (in Yards) - (AVG)
Average Going for it Shot Distance (in Yards) - (DISTANCE (IN INCHES))
Average Going for it Shot Distance (in Yards) - (EVENTS)
Average Putting Distance - All 1 putts - (AVG)
Average Putting Distance - All 1 putts - (DISTANCE (FEET))
Average Putting Distance - All 1 putts - (ROUNDS)
Average Putting Distance - All 1 putts - (TOTAL PUTTS)
Average Putting Distance - All 2 putts - (AVG)
Average Putting Distance - All 2 putts - (DISTANCE (FEET))
Average Putting Distance - All 2 putts - (ROUNDS)
Average Putting Distance - All 2 putts - (TOTAL PUTTS)
Average Putting Distance - All 3 putts - (AVG)
Average Putting Distance - All 3 putts - (DISTANCE (FEET))
Average Putting Distance - All 3 putts - (ROUNDS)
Average Putting Distance - All 3 putts - (TOTAL PUTTS)
Average Putting Distance - All 3+ putts - (AVG)
Average Putting Distance - All 3+ putts - (DISTANCE (FEET))
Average Putting Distance - All 3+ putts - (ROUNDS)
Average Putting Distance - All 3+ putts - (TOTAL PUTTS)
Average Putting Distance - GIR 1 Putts - (AVG)
Average Putting Distance - GIR 1 Putts - (DISTANCE (FEET))
Average Putting Distance - GIR 1 Putts - (ROUNDS)
Average Putting Distance - GIR 1 Putts - (TOTAL PUTTS)
Average Putting Distance - GIR 2 Putts - (AVG)
Average Putting Distance - GIR 2 Putts - (DISTANCE (FEET))
Average Putting Distance - GIR 2 Putts - (ROUNDS)
Average Putting Distance - GIR 2 Putts - (TOTAL PUTTS)
Average Putting Distance - GIR 3 Putts - (AVG)
Average Putting Distance - GIR 3 Putts - (DISTANCE (FEET))
Average Putting Distance - GIR 3 Putts - (ROUNDS)
Average Putting Distance - GIR 3 Putts - (TOTAL PUTTS)
Average Putting Distance - GIR 3+ Putts - (AVG)
Average Putting Distance - GIR 3+ Putts - (DISTANCE (FEET))
Average Putting Distance - GIR 3+ Putts - (ROUNDS)
Average Putting Distance - GIR 3+ Putts - (TOTAL PUTTS)
Back 9 Lowest Round - (LOW RND)
Back 9 Lowest Round - (ROUNDS)
Back 9 Par 3 Scoring Average - (AVG)
Back 9 Par 3 Scoring Average - (ROUNDS)
Back 9 Par 3 Scoring Average - (TOTAL HOLES)
Back 9 Par 3 Scoring Average - (TOTAL STROKES)
Back 9 Par 4 Scoring Average - (AVG)
Back 9 Par 4 Scoring Average - (ROUNDS)
Back 9 Par 4 Scoring Average - (TOTAL HOLES)
Back 9 Par 4 Scoring Average - (TOTAL STROKES)
Back 9 Par 5 Scoring Average - (AVG)
Back 9 Par 5 Scoring Average - (ROUNDS)
Back 9 Par 5 Scoring Average - (TOTAL HOLES)
Back 9 Par 5 Scoring Average - (TOTAL STROKES)
Back 9 Scoring Average - (AVG)
Back 9 Scoring Average - (ROUNDS)
Back 9 Scoring Average - (TOTAL HOLES)
Back 9 Scoring Average - (TOTAL STROKES)
Ball Speed - (AVG.)
Ball Speed - (FASTEST SPEED)
Ball Speed - (ROUNDS)
Ball Speed - (SLOWEST SPEED)
Ball Speed - (TOTAL ATTEMPTS)
Ball Speed - (TOTAL BALL SPEED)
Ball Striking - (GIR RANK)
Ball Striking - (ROUNDS)
Ball Striking - (TOTAL DRV RANK)
Ball Striking - (VALUE)
Best YTD 1-Putt or Better Streak - (EVENTS)
Best YTD 1-Putt or Better Streak - (VALUE)
Best YTD Streak w/o a 3-Putt - (BEST STREAK)
Best YTD Streak w/o a 3-Putt - (CURRENT STREAK)
Best YTD Streak w/o a 3-Putt - (EVENTS)
Birdie Average - (# OF BIRDIES)
Birdie Average - (AVG)
Birdie Average - (ROUNDS)
Birdie Average - (TOTAL ROUNDS)
Birdie or Better Conversion Percentage - (# BIRDIES)
Birdie or Better Conversion Percentage - (%)
Birdie or Better Conversion Percentage - (GREENS HIT)
Birdie or Better Conversion Percentage - (ROUNDS)
Birdie or Better Percentage - (%)
Birdie or Better Percentage - (GIR RANK)
Birdie or Better Percentage - (ROUNDS)
Birdie or Better Percentage - (TOTAL BIRDIES)
Birdie or Better Percentage - (TOTAL HOLES)
Birdie or Better Percentage - 125-150 yards - (%)
Birdie or Better Percentage - 125-150 yards - (ROUNDS)
Birdie or Better Percentage - 125-150 yards - (TOTAL BIRDIES)
Birdie or Better Percentage - 125-150 yards - (TOTAL HOLES)
Birdie or Better Percentage - 150-175 yards - (%)
Birdie or Better Percentage - 150-175 yards - (ROUNDS)
Birdie or Better Percentage - 150-175 yards - (TOTAL BIRDIES)
Birdie or Better Percentage - 150-175 yards - (TOTAL HOLES)
Birdie or Better Percentage - 175-200 yards - (%)
Birdie or Better Percentage - 175-200 yards - (ROUNDS)
Birdie or Better Percentage - 175-200 yards - (TOTAL BIRDIES)
Birdie or Better Percentage - 175-200 yards - (TOTAL HOLES)
Birdie or Better Percentage - 200+ yards - (%)
Birdie or Better Percentage - 200+ yards - (ROUNDS)
Birdie or Better Percentage - 200+ yards - (TOTAL BIRDIES)
Birdie or Better Percentage - 200+ yards - (TOTAL HOLES)
Birdie or Better Percentage - &lt; 125 yards - (%)
Birdie or Better Percentage - &lt; 125 yards - (ROUNDS)
Birdie or Better Percentage - &lt; 125 yards - (TOTAL BIRDIES)
Birdie or Better Percentage - &lt; 125 yards - (TOTAL HOLES)
Birdie or Better Percentage - Fairway - (%)
Birdie or Better Percentage - Fairway - (ROUNDS)
Birdie or Better Percentage - Fairway - (TOTAL BIRDIES)
Birdie or Better Percentage - Fairway - (TOTAL HOLES)
Birdie or Better Percentage - Left Rough - (%)
Birdie or Better Percentage - Left Rough - (ROUNDS)
Birdie or Better Percentage - Left Rough - (TOTAL BIRDIES)
Birdie or Better Percentage - Left Rough - (TOTAL HOLES)
Birdie or Better Percentage - Right Rough - (%)
Birdie or Better Percentage - Right Rough - (ROUNDS)
Birdie or Better Percentage - Right Rough - (TOTAL BIRDIES)
Birdie or Better Percentage - Right Rough - (TOTAL HOLES)
Birdie or Better Percentage - Rough - (%)
Birdie or Better Percentage - Rough - (ROUNDS)
Birdie or Better Percentage - Rough - (TOTAL BIRDIES)
Birdie or Better Percentage - Rough - (TOTAL HOLES)
Birdie to Bogey Ratio - (BIRDIE TO BOGEY RATIO)
Birdie to Bogey Ratio - (ROUNDS)
Birdie to Bogey Ratio - (TOTAL BIRDIES AND BETTER)
Birdie to Bogey Ratio - (TOTAL BOGEYS AND WORSE)
Bogey Average - (AVERAGE BOGEYS PER ROUND)
Bogey Average - (EVENTS)
Bogey Average - (ROUNDS PLAYED)
Bogey Average - (TOTAL BOGEYS)
Bogey Avoidance - (% MAKES BOGEY)
Bogey Avoidance - (BOGEYS)
Bogey Avoidance - (HOLES PLAYED)
Bogey Avoidance - (ROUNDS)
Bonus Putting - (ATTEMPTS(&lt;= 5&#39;))
Bonus Putting - (ROUNDS)
Bonus Putting - (TOT MADE (&lt;= 5&#39;))
Bonus Putting - (TOT MADE (&gt;=20&#39;))
Bonus Putting - (VALUE)
Bounce Back - (%)
Bounce Back - (ROUNDS)
Carry Distance - (AVG.)
Carry Distance - (LONGEST CARRY DISTANCE)
Carry Distance - (ROUNDS)
Carry Distance - (SHORTEST CARRY DISTANCE)
Carry Distance - (TOTAL ATTEMPTS)
Carry Distance - (TOTAL DIST. TO IMPACT)
Carry Efficiency - (AVERAGE CARRY DIST. YARDS)
Carry Efficiency - (AVERAGE CLUB HEAD SPEED)
Carry Efficiency - (AVG.)
Carry Efficiency - (HIGHEST CARRY EFFICIENCY)
Carry Efficiency - (ROUNDS)
Carry Efficiency - (TOTAL ATTEMPTS)
Club Head Speed - (AVG.)
Club Head Speed - (FASTEST SPEED)
Club Head Speed - (ROUNDS)
Club Head Speed - (SLOWEST SPEED)
Club Head Speed - (TOTAL ATTEMPTS)
Club Head Speed - (TOTAL CLUB HEAD SPEED)
Consecutive Birdies Streak - (EVENTS)
Consecutive Birdies Streak - (NUMBER OF HOLES)
Consecutive Birdies/Eagles streak - (EVENTS)
Consecutive Birdies/Eagles streak - (NUMBER OF HOLES)
Consecutive Fairways Hit - (BEST STREAK)
Consecutive Fairways Hit - (CURRENT STREAK)
Consecutive Fairways Hit - (EVENTS)
Consecutive GIR - (CURRENT STREAK)
Consecutive GIR - (EVENTS)
Consecutive GIR - (HOLE)
Consecutive GIR - (ROUND)
Consecutive GIR - (STREAK)
Consecutive GIR - (YEAR/TOURN#)
Consecutive Holes Below Par - (EVENTS)
Consecutive Holes Below Par - (NUMBER OF HOLES)
Consecutive Par 3 Birdies - (EVENTS)
Consecutive Par 3 Birdies - (NUMBER OF HOLES)
Consecutive Par 4 Birdies - (EVENTS)
Consecutive Par 4 Birdies - (NUMBER OF HOLES)
Consecutive Par 5 Birdies - (EVENTS)
Consecutive Par 5 Birdies - (NUMBER OF HOLES)
Consecutive Sand Saves - (CURRENT STREAK)
Consecutive Sand Saves - (EVENTS)
Consecutive Sand Saves - (HOLE)
Consecutive Sand Saves - (ROUND)
Consecutive Sand Saves - (STREAK)
Consecutive Sand Saves - (YEAR/TOURN#)
Current Par or Better Streak - (EVENTS)
Current Par or Better Streak - (NUMBER OF ROUNDS)
Current Streak without a 3-Putt - (EVENTS)
Current Streak without a 3-Putt - (VALUE)
Distance from Center of Fairway - (AVG)
Distance from Center of Fairway - (EVENTS)
Distance from Center of Fairway - (TOTAL DISTANCE (FEET))
Distance from Center of Fairway - (TOTAL STROKES)
Distance from Edge of Fairway - (AVG)
Distance from Edge of Fairway - (EVENTS)
Distance from Edge of Fairway - (TOTAL DISTANCE (FEET))
Distance from Edge of Fairway - (TOTAL STROKES)
Distance to Apex - (AVG.)
Distance to Apex - (LONGEST DIST. TO APEX)
Distance to Apex - (ROUNDS)
Distance to Apex - (SHORTEST DIST. TO APEX)
Distance to Apex - (TOTAL APEX RANGE)
Distance to Apex - (TOTAL ATTEMPTS)
Driving Accuracy Percentage - (%)
Driving Accuracy Percentage - (FAIRWAYS HIT)
Driving Accuracy Percentage - (POSSIBLE FAIRWAYS)
Driving Accuracy Percentage - (ROUNDS)
Driving Distance - (AVG.)
Driving Distance - (ROUNDS)
Driving Distance - (TOTAL DISTANCE)
Driving Distance - (TOTAL DRIVES)
Driving Distance - All Drives - (# OF DRIVES)
Driving Distance - All Drives - (ALL DRIVES)
Driving Distance - All Drives - (ROUNDS)
Driving Distance - All Drives - (TOTAL DISTANCE)
Driving Pct. 240-260 (All Drives) - (%)
Driving Pct. 240-260 (All Drives) - (RELATIVE TO PAR)
Driving Pct. 240-260 (All Drives) - (ROUNDS)
Driving Pct. 240-260 (All Drives) - (TOTAL DRIVES - OVERALL)
Driving Pct. 240-260 (All Drives) - (TOTAL DRIVES FOR 240-260)
Driving Pct. 240-260 (Measured) - (%)
Driving Pct. 240-260 (Measured) - (RELATIVE TO PAR)
Driving Pct. 240-260 (Measured) - (ROUNDS)
Driving Pct. 240-260 (Measured) - (TOTAL DRIVES FOR 240-260)
Driving Pct. 240-260 (Measured) - (TOTAL DRVS - OVERALL)
Driving Pct. 260-280 (All Drives) - (%)
Driving Pct. 260-280 (All Drives) - (RELATIVE TO PAR)
Driving Pct. 260-280 (All Drives) - (ROUNDS)
Driving Pct. 260-280 (All Drives) - (TOTAL DRIVES - OVERALL)
Driving Pct. 260-280 (All Drives) - (TOTAL DRIVES FOR 260-280)
Driving Pct. 260-280 (Measured) - (%)
Driving Pct. 260-280 (Measured) - (RELATIVE TO PAR)
Driving Pct. 260-280 (Measured) - (ROUNDS)
Driving Pct. 260-280 (Measured) - (TOTAL DRIVES FOR 260-280)
Driving Pct. 260-280 (Measured) - (TOTAL DRVS - OVERALL)
Driving Pct. 280-300 (All Drives) - (%)
Driving Pct. 280-300 (All Drives) - (RELATIVE TO PAR)
Driving Pct. 280-300 (All Drives) - (ROUNDS)
Driving Pct. 280-300 (All Drives) - (TOTAL DRIVES - OVERALL)
Driving Pct. 280-300 (All Drives) - (TOTAL DRIVES FOR 280-300)
Driving Pct. 280-300 (Measured) - (%)
Driving Pct. 280-300 (Measured) - (RELATIVE TO PAR)
Driving Pct. 280-300 (Measured) - (ROUNDS)
Driving Pct. 280-300 (Measured) - (TOTAL DRIVES FOR 280-300)
Driving Pct. 280-300 (Measured) - (TOTAL DRVS - OVERALL)
Driving Pct. 300+ (All Drives) - (%)
Driving Pct. 300+ (All Drives) - (RELATIVE TO PAR)
Driving Pct. 300+ (All Drives) - (ROUNDS)
Driving Pct. 300+ (All Drives) - (TOTAL DRIVES - OVERALL)
Driving Pct. 300+ (All Drives) - (TOTAL DRIVES FOR 300+)
Driving Pct. 300+ (Measured) - (%)
Driving Pct. 300+ (Measured) - (RELATIVE TO PAR)
Driving Pct. 300+ (Measured) - (ROUNDS)
Driving Pct. 300+ (Measured) - (TOTAL DRIVES FOR 300+)
Driving Pct. 300+ (Measured) - (TOTAL DRVS - OVERALL)
Driving Pct. 300-320 (All Drives) - (%)
Driving Pct. 300-320 (All Drives) - (RELATIVE TO PAR)
Driving Pct. 300-320 (All Drives) - (ROUNDS)
Driving Pct. 300-320 (All Drives) - (TOTAL DRIVES - OVERALL)
Driving Pct. 300-320 (All Drives) - (TOTAL DRIVES FOR 300-320)
Driving Pct. 300-320 (Measured) - (%)
Driving Pct. 300-320 (Measured) - (RELATIVE TO PAR)
Driving Pct. 300-320 (Measured) - (ROUNDS)
Driving Pct. 300-320 (Measured) - (TOTAL DRIVES FOR 300-320)
Driving Pct. 300-320 (Measured) - (TOTAL DRVS - OVERALL)
Driving Pct. 320+ (All Drives) - (%)
Driving Pct. 320+ (All Drives) - (RELATIVE TO PAR)
Driving Pct. 320+ (All Drives) - (ROUNDS)
Driving Pct. 320+ (All Drives) - (TOTAL DRIVES - OVERALL)
Driving Pct. 320+ (All Drives) - (TOTAL DRIVES FOR 320+)
Driving Pct. 320+ (Measured) - (%)
Driving Pct. 320+ (Measured) - (RELATIVE TO PAR)
Driving Pct. 320+ (Measured) - (ROUNDS)
Driving Pct. 320+ (Measured) - (TOTAL DRIVES FOR 320+)
Driving Pct. 320+ (Measured) - (TOTAL DRVS - OVERALL)
Driving Pct. &lt;= 240 (All Drives) - (%)
Driving Pct. &lt;= 240 (All Drives) - (RELATIVE TO PAR)
Driving Pct. &lt;= 240 (All Drives) - (ROUNDS)
Driving Pct. &lt;= 240 (All Drives) - (TOTAL DRIVES - OVERALL)
Driving Pct. &lt;= 240 (All Drives) - (TOTAL DRIVES FOR &lt;= 240)
Driving Pct. &lt;= 240 (Measured) - (%)
Driving Pct. &lt;= 240 (Measured) - (RELATIVE TO PAR)
Driving Pct. &lt;= 240 (Measured) - (ROUNDS)
Driving Pct. &lt;= 240 (Measured) - (TOTAL DRIVES FOR &lt;= 240)
Driving Pct. &lt;= 240 (Measured) - (TOTAL DRVS - OVERALL)
Eagles (Holes per) - (# OF EAGLES)
Eagles (Holes per) - (# OF HOLES)
Eagles (Holes per) - (FREQUENCY)
Eagles (Holes per) - (ROUNDS)
Early Par 3 Scoring Average - (AVG)
Early Par 3 Scoring Average - (ROUNDS)
Early Par 3 Scoring Average - (TOTAL HOLES)
Early Par 3 Scoring Average - (TOTAL STROKES)
Early Par 4 Scoring Average - (AVG)
Early Par 4 Scoring Average - (ROUNDS)
Early Par 4 Scoring Average - (TOTAL HOLES)
Early Par 4 Scoring Average - (TOTAL STROKES)
Early Par 5 Scoring Average - (AVG)
Early Par 5 Scoring Average - (ROUNDS)
Early Par 5 Scoring Average - (TOTAL HOLES)
Early Par 5 Scoring Average - (TOTAL STROKES)
Early Scoring Average - (AVG)
Early Scoring Average - (ROUNDS)
Early Scoring Average - (TOTAL EARLY ROUNDS)
Early Scoring Average - (TOTAL STROKES)
Fairway Approach (RTP Score) - (AVG RTP)
Fairway Approach (RTP Score) - (ROUNDS)
Fairway Bunker Tendency - (%)
Fairway Bunker Tendency - (POSSIBLE FWYS)
Fairway Bunker Tendency - (RELATIVE TO PAR)
Fairway Bunker Tendency - (ROUNDS)
Fairway Bunker Tendency - (TOTAL FAIRWAY BUNKERS)
Fairway Proximity - (ATTEMPTS)
Fairway Proximity - (AVG)
Fairway Proximity - (RELATIVE TO PAR)
Fairway Proximity - (ROUNDS)
Fairway Proximity - (TOTAL DISTANCE (FEET))
FedExCup Bonus Money - (EVENTS)
FedExCup Bonus Money - (MONEY)
FedExCup Playoffs Points - (# OF TOP 10&#39;S)
FedExCup Playoffs Points - (# OF WINS)
FedExCup Playoffs Points - (EVENTS)
FedExCup Playoffs Points - (POINTS BEHIND LEAD)
FedExCup Playoffs Points - (POINTS)
FedExCup Playoffs Points - (RESET POINTS)
FedExCup Points per Event Leaders - (EVENTS)
FedExCup Points per Event Leaders - (POINTS PER EVENT)
FedExCup Points per Event Leaders - (TOTAL POINTS)
FedExCup Season Points - (# OF TOP 10&#39;S)
FedExCup Season Points - (# OF WINS)
FedExCup Season Points - (EVENTS)
FedExCup Season Points - (POINTS BEHIND LEAD)
FedExCup Season Points - (POINTS)
FedExCup Season Points - (RESET POINTS)
FedExCup Season Points for Non-Members - (EVENTS)
FedExCup Season Points for Non-Members - (POINTS)
FedExCup Season Points for Non-Members - (WGC POINTS)
FedExCup Standings - (# OF TOP 10&#39;S)
FedExCup Standings - (# OF WINS)
FedExCup Standings - (EVENTS)
FedExCup Standings - (FEDEXCUP STROKES)
FedExCup Standings - (FINISH POSITION)
FedExCup Standings - (POINTS BEHIND LEAD)
FedExCup Standings - (POINTS)
FedExCup Standings - (RESET POINTS)
Final Round Performance - (%)
Final Round Performance - (EVENTS)
First Tee Early Lowest Round - (LOW RND)
First Tee Early Lowest Round - (ROUNDS)
First Tee Early Par 3 Scoring Average - (AVG)
First Tee Early Par 3 Scoring Average - (ROUNDS)
First Tee Early Par 3 Scoring Average - (TOTAL HOLES)
First Tee Early Par 3 Scoring Average - (TOTAL STROKES)
First Tee Early Par 4 Scoring Average - (AVG)
First Tee Early Par 4 Scoring Average - (ROUNDS)
First Tee Early Par 4 Scoring Average - (TOTAL HOLES)
First Tee Early Par 4 Scoring Average - (TOTAL STROKES)
First Tee Early Par 5 Scoring Average - (AVG)
First Tee Early Par 5 Scoring Average - (ROUNDS)
First Tee Early Par 5 Scoring Average - (TOTAL HOLES)
First Tee Early Par 5 Scoring Average - (TOTAL STROKES)
First Tee Early Scoring Average - (AVG)
First Tee Early Scoring Average - (ROUNDS)
First Tee Early Scoring Average - (TOT. EARLY RDS.(1ST TEE))
First Tee Early Scoring Average - (TOTAL STROKES)
First Tee Late Lowest Round - (LOW RND)
First Tee Late Lowest Round - (ROUNDS)
First Tee Late Par 3 Scoring Average - (AVG)
First Tee Late Par 3 Scoring Average - (ROUNDS)
First Tee Late Par 3 Scoring Average - (TOTAL HOLES)
First Tee Late Par 3 Scoring Average - (TOTAL STROKES)
First Tee Late Par 4 Scoring Average - (AVG)
First Tee Late Par 4 Scoring Average - (ROUNDS)
First Tee Late Par 4 Scoring Average - (TOTAL HOLES)
First Tee Late Par 4 Scoring Average - (TOTAL STROKES)
First Tee Late Par 5 Scoring Average - (AVG)
First Tee Late Par 5 Scoring Average - (ROUNDS)
First Tee Late Par 5 Scoring Average - (TOTAL HOLES)
First Tee Late Par 5 Scoring Average - (TOTAL STROKES)
First Tee Late Scoring Average - (AVG)
First Tee Late Scoring Average - (ROUNDS)
First Tee Late Scoring Average - (TOTAL 1ST TEE LATE ROUNDS)
First Tee Late Scoring Average - (TOTAL STROKES)
Front 9 Par 3 Scoring Average - (AVG)
Front 9 Par 3 Scoring Average - (ROUNDS)
Front 9 Par 3 Scoring Average - (TOTAL HOLES)
Front 9 Par 3 Scoring Average - (TOTAL STROKES)
Front 9 Par 4 Scoring Average - (AVG)
Front 9 Par 4 Scoring Average - (ROUNDS)
Front 9 Par 4 Scoring Average - (TOTAL HOLES)
Front 9 Par 4 Scoring Average - (TOTAL STROKES)
Front 9 Par 5 Scoring Average - (AVG)
Front 9 Par 5 Scoring Average - (ROUNDS)
Front 9 Par 5 Scoring Average - (TOTAL HOLES)
Front 9 Par 5 Scoring Average - (TOTAL STROKES)
Front 9 Scoring Average - (AVG)
Front 9 Scoring Average - (ROUNDS)
Front 9 Scoring Average - (TOTAL HOLES)
Front 9 Scoring Average - (TOTAL STROKES)
GIR Pct. - Fairway Bunker - (# HOLES)
GIR Pct. - Fairway Bunker - (%)
GIR Pct. - Fairway Bunker - (GREENS HIT)
GIR Pct. - Fairway Bunker - (RELATIVE/PAR)
GIR Pct. - Fairway Bunker - (ROUNDS)
GIR Percentage - 100+ yards - (%)
GIR Percentage - 100+ yards - (GREENS HIT)
GIR Percentage - 100+ yards - (RELATIVE TO PAR)
GIR Percentage - 100+ yards - (ROUNDS)
GIR Percentage - 100+ yards - (TOTAL HOLES)
GIR Percentage - 100-125 yards - (%)
GIR Percentage - 100-125 yards - (GREENS HIT)
GIR Percentage - 100-125 yards - (RELATIVE TO PAR)
GIR Percentage - 100-125 yards - (ROUNDS)
GIR Percentage - 100-125 yards - (TOTAL HOLES)
GIR Percentage - 125-150 yards - (%)
GIR Percentage - 125-150 yards - (GREENS HIT)
GIR Percentage - 125-150 yards - (RELATIVE TO PAR)
GIR Percentage - 125-150 yards - (ROUNDS)
GIR Percentage - 125-150 yards - (TOTAL HOLES)
GIR Percentage - 150-175 yards - (%)
GIR Percentage - 150-175 yards - (GREENS HIT)
GIR Percentage - 150-175 yards - (RELATIVE TO PAR)
GIR Percentage - 150-175 yards - (ROUNDS)
GIR Percentage - 150-175 yards - (TOTAL HOLES)
GIR Percentage - 175-200 yards - (%)
GIR Percentage - 175-200 yards - (GREENS HIT)
GIR Percentage - 175-200 yards - (RELATIVE TO PAR)
GIR Percentage - 175-200 yards - (ROUNDS)
GIR Percentage - 175-200 yards - (TOTAL HOLES)
GIR Percentage - 200+ yards - (%)
GIR Percentage - 200+ yards - (GREENS HIT)
GIR Percentage - 200+ yards - (RELATIVE TO PAR)
GIR Percentage - 200+ yards - (ROUNDS)
GIR Percentage - 200+ yards - (TOTAL HOLES)
GIR Percentage - 75-100 yards - (%)
GIR Percentage - 75-100 yards - (GREENS HIT)
GIR Percentage - 75-100 yards - (RELATIVE TO PAR)
GIR Percentage - 75-100 yards - (ROUNDS)
GIR Percentage - 75-100 yards - (TOTAL HOLES)
GIR Percentage - &lt; 100 yards - (%)
GIR Percentage - &lt; 100 yards - (GREENS HIT)
GIR Percentage - &lt; 100 yards - (RELATIVE TO PAR)
GIR Percentage - &lt; 100 yards - (ROUNDS)
GIR Percentage - &lt; 100 yards - (TOTAL HOLES)
GIR Percentage - &lt; 125 yards - (%)
GIR Percentage - &lt; 125 yards - (GREENS HIT)
GIR Percentage - &lt; 125 yards - (RELATIVE TO PAR)
GIR Percentage - &lt; 125 yards - (ROUNDS)
GIR Percentage - &lt; 125 yards - (TOTAL HOLES)
GIR Percentage - &lt; 75 yards - (%)
GIR Percentage - &lt; 75 yards - (GREENS HIT)
GIR Percentage - &lt; 75 yards - (RELATIVE TO PAR)
GIR Percentage - &lt; 75 yards - (ROUNDS)
GIR Percentage - &lt; 75 yards - (TOTAL HOLES)
GIR Percentage from Fairway - (# OF HOLES)
GIR Percentage from Fairway - (%)
GIR Percentage from Fairway - (GREENS HIT)
GIR Percentage from Fairway - (ROUNDS)
GIR Percentage from Other than Fairway - (# OF HOLES)
GIR Percentage from Other than Fairway - (%)
GIR Percentage from Other than Fairway - (GREENS HIT)
GIR Percentage from Other than Fairway - (ROUNDS)
GIR Putting - 10-15&#39; - (%)
GIR Putting - 10-15&#39; - (ATTEMPTS)
GIR Putting - 10-15&#39; - (PUTTS MADE)
GIR Putting - 10-15&#39; - (ROUNDS)
GIR Putting - 15-20&#39; - (%)
GIR Putting - 15-20&#39; - (ATTEMPTS)
GIR Putting - 15-20&#39; - (PUTTS MADE)
GIR Putting - 15-20&#39; - (ROUNDS)
GIR Putting - 20-25&#39; - (%)
GIR Putting - 20-25&#39; - (ATTEMPTS)
GIR Putting - 20-25&#39; - (PUTTS MADE)
GIR Putting - 20-25&#39; - (ROUNDS)
GIR Putting - 5-10&#39; - (%)
GIR Putting - 5-10&#39; - (ATTEMPTS)
GIR Putting - 5-10&#39; - (PUTTS MADE)
GIR Putting - 5-10&#39; - (ROUNDS)
GIR Putting - &gt; 25&#39; - (%)
GIR Putting - &gt; 25&#39; - (ATTEMPTS)
GIR Putting - &gt; 25&#39; - (PUTTS MADE)
GIR Putting - &gt; 25&#39; - (ROUNDS)
GIR Putting - Inside 5&#39; - (%)
GIR Putting - Inside 5&#39; - (ATTEMPTS)
GIR Putting - Inside 5&#39; - (PUTTS MADE)
GIR Putting - Inside 5&#39; - (ROUNDS)
GIR Putting Avg - 25-30&#39; - (% MADE)
GIR Putting Avg - 25-30&#39; - (ATTEMPTS)
GIR Putting Avg - 25-30&#39; - (PUTTS MADE)
GIR Putting Avg - 25-30&#39; - (ROUNDS)
GIR Putting Avg - 30-35&#39; - (% MADE)
GIR Putting Avg - 30-35&#39; - (ATTEMPTS)
GIR Putting Avg - 30-35&#39; - (PUTTS MADE)
GIR Putting Avg - 30-35&#39; - (ROUNDS)
GIR Putting Avg - &gt; 35&#39; - (% MADE)
GIR Putting Avg - &gt; 35&#39; - (ATTEMPTS)
GIR Putting Avg - &gt; 35&#39; - (PUTTS MADE)
GIR Putting Avg - &gt; 35&#39; - (ROUNDS)
Going for the Green - (%)
Going for the Green - (ATTEMPTS)
Going for the Green - (NON-ATTEMPTS)
Going for the Green - (ROUNDS)
Going for the Green - (RTP-GOING FOR THE GREEN)
Going for the Green - (RTP-NOT GOING FOR THE GRN)
Going for the Green - Birdie or Better - (# OF BIRDIE OR BETTER)
Going for the Green - Birdie or Better - (%)
Going for the Green - Birdie or Better - (ATTEMPTS)
Going for the Green - Birdie or Better - (ROUNDS)
Going for the Green - Birdie or Better - (RTP-NOT GOING FOR THE GRN)
Going for the Green - Birdie or Better - (RTP-SUCCESSES)
Going for the Green - Hit Green Pct. - (%)
Going for the Green - Hit Green Pct. - (ATTEMPTS)
Going for the Green - Hit Green Pct. - (ROUNDS)
Going for the Green - Hit Green Pct. - (RTP-NOT GOING FOR THE GRN)
Going for the Green - Hit Green Pct. - (RTP-SUCCESSES)
Going for the Green - Hit Green Pct. - (SUCCESSES)
Good Drive Percentage - (# HIT)
Good Drive Percentage - (%)
Good Drive Percentage - (ROUNDS)
Good Drive Percentage - (TOTAL ATTEMPTS)
Greens in Regulation Percentage - (# HOLES)
Greens in Regulation Percentage - (%)
Greens in Regulation Percentage - (GREENS HIT)
Greens in Regulation Percentage - (RELATIVE/PAR)
Greens in Regulation Percentage - (ROUNDS)
Greens or Fringe in Regulation - (%)
Greens or Fringe in Regulation - (ROUNDS)
Greens or Fringe in Regulation - (RTP SCORE)
Greens or Fringe in Regulation - (TOTAL ATTEMPTS)
Greens or Fringe in Regulation - (TOTAL HIT)
Hang Time - (AVG.)
Hang Time - (LONGEST ACT. HANG TIME)
Hang Time - (ROUNDS)
Hang Time - (SHORTEST ACT. HANG TIME)
Hang Time - (TOTAL ACTUAL HANG TIME)
Hang Time - (TOTAL ATTEMPTS)
Hit Fairway Percentage - (%)
Hit Fairway Percentage - (FAIRWAYS HIT)
Hit Fairway Percentage - (POSSIBLE FAIRWAYS)
Hit Fairway Percentage - (RELATIVE TO PAR)
Hit Fairway Percentage - (ROUNDS)
Last 15 Events - Accuracy - (EVENTS)
Last 15 Events - Accuracy - (RATING)
Last 15 Events - Power - (EVENTS)
Last 15 Events - Power - (RATING)
Last 15 Events - Putting - (EVENTS)
Last 15 Events - Putting - (RATING)
Last 15 Events - Scoring - (EVENTS)
Last 15 Events - Scoring - (RATING)
Last 15 Events - Short Game - (EVENTS)
Last 15 Events - Short Game - (RATING)
Last 5 Events - Accuracy - (EVENTS)
Last 5 Events - Accuracy - (RATING)
Last 5 Events - Power - (EVENTS)
Last 5 Events - Power - (RATING)
Last 5 Events - Putting - (EVENTS)
Last 5 Events - Putting - (RATING)
Last 5 Events - Scoring - (EVENTS)
Last 5 Events - Scoring - (RATING)
Last 5 Events - Short Game - (EVENTS)
Last 5 Events - Short Game - (RATING)
Late Par 3 Scoring Average - (AVG)
Late Par 3 Scoring Average - (ROUNDS)
Late Par 3 Scoring Average - (TOTAL HOLES)
Late Par 3 Scoring Average - (TOTAL STROKES)
Late Par 4 Scoring Average - (AVG)
Late Par 4 Scoring Average - (ROUNDS)
Late Par 4 Scoring Average - (TOTAL HOLES)
Late Par 4 Scoring Average - (TOTAL STROKES)
Late Par 5 Scoring Average - (AVG)
Late Par 5 Scoring Average - (ROUNDS)
Late Par 5 Scoring Average - (TOTAL HOLES)
Late Par 5 Scoring Average - (TOTAL STROKES)
Late Scoring Average - (AVG)
Late Scoring Average - (ROUNDS)
Late Scoring Average - (TOTAL LATE ROUNDS)
Late Scoring Average - (TOTAL STROKES)
Launch Angle - (AVG.)
Launch Angle - (LOWEST LAUNCH ANGLE)
Launch Angle - (ROUNDS)
Launch Angle - (STEEPEST LAUNCH ANGLE)
Launch Angle - (TOTAL ATTEMPTS)
Launch Angle - (TOTAL VERT. LAUNCH ANGLE)
Left Rough Proximity - (ATTEMPTS)
Left Rough Proximity - (AVG)
Left Rough Proximity - (RELATIVE TO PAR)
Left Rough Proximity - (ROUNDS)
Left Rough Proximity - (TOTAL DISTANCE (FEET))
Left Rough Tendency (RTP Score) - (ROUNDS)
Left Rough Tendency (RTP Score) - (RTP SCORE)
Left Rough Tendency - (%)
Left Rough Tendency - (POSSIBLE FWYS)
Left Rough Tendency - (RELATIVE TO PAR)
Left Rough Tendency - (ROUNDS)
Left Rough Tendency - (TOTAL LEFT ROUGH)
Left Tendency - (%)
Left Tendency - (ATTEMPTS)
Left Tendency - (AVG RTP SCORE)
Left Tendency - (EVENTS)
Left Tendency - (NUMBER OF TIMES)
Longest Drives - (COURSE)
Longest Drives - (DISTANCE)
Longest Drives - (HOLE)
Longest Drives - (ROUND)
Longest Drives - (ROUNDS)
Longest Drives - (TOURNAMENT)
Longest Hole Outs (in yards) - (DISTANCE)
Longest Hole Outs (in yards) - (HOLE)
Longest Hole Outs (in yards) - (ROUND- COURSE)
Longest Hole Outs (in yards) - (ROUNDS)
Longest Hole Outs (in yards) - (TOURNAMENT)
Longest Putts - (DISTANCE)
Longest Putts - (HOLE)
Longest Putts - (ROUND)
Longest Putts - (ROUNDS)
Longest Putts - (YEAR/TOURN#)
Lowest Round - (ROUND)
Lowest Round - (ROUNDS)
Lowest Round - (TOURN/COURSE)
Lowest Round - (VALUE)
Missed Fairway Percent - Other - (%)
Missed Fairway Percent - Other - (RELATIVE TO PAR)
Missed Fairway Percent - Other - (ROUNDS)
Missed Fairway Percent - Other - (TOTAL FWYS)
Missed Fairway Percent - Other - (TOTAL MISSED)
Money per Event Leaders - (EVENTS)
Money per Event Leaders - (MONEY PER EVENT)
Money per Event Leaders - (TOTAL MONEY)
Non-WGC FedExCup Season Points for Non-Members - (EVENTS)
Non-WGC FedExCup Season Points for Non-Members - (POINTS)
Non-member Earnings - (EVENTS)
Non-member Earnings - (MONEY)
Non-member Earnings - (TOTAL)
Official Money - (EVENTS)
Official Money - (MONEY)
Official Money - (YTD VICTORIES)
Official World Golf Ranking - (AVG POINTS)
Official World Golf Ranking - (COUNTRY)
Official World Golf Ranking - (EVENTS)
Official World Golf Ranking - (POINTS GAINED)
Official World Golf Ranking - (POINTS LOST)
Official World Golf Ranking - (TOTAL POINTS)
One-Putt Percentage - (# OF 1 PUTTS)
One-Putt Percentage - (# OF HOLES)
One-Putt Percentage - (%)
One-Putt Percentage - (ROUNDS)
One-Putt Percentage - Round 1 - (# OF 1 PUTTS)
One-Putt Percentage - Round 1 - (# OF HOLES)
One-Putt Percentage - Round 1 - (%)
One-Putt Percentage - Round 1 - (ROUNDS)
Overall Putting Average - (# OF HOLES)
Overall Putting Average - (# OF PUTTS)
Overall Putting Average - (AVG)
Overall Putting Average - (ROUNDS)
PGA Championship Points - (EVENTS)
PGA Championship Points - (POINTS)
Par 3 Birdie or Better Leaders - (%)
Par 3 Birdie or Better Leaders - (PAR 3 BIRDIES OR BETTER)
Par 3 Birdie or Better Leaders - (PAR 3 HOLES)
Par 3 Birdie or Better Leaders - (ROUNDS)
Par 3 Performance - (PAR 3 AVG)
Par 3 Performance - (ROUNDS)
Par 3 Performance - (STATUS)
Par 3 Performance - (TOTAL PAR)
Par 3 Scoring Average - (AVG)
Par 3 Scoring Average - (ROUNDS)
Par 3 Scoring Average - (TOTAL HOLES)
Par 3 Scoring Average - (TOTAL STROKES)
Par 4 Birdie or Better Leaders - (%)
Par 4 Birdie or Better Leaders - (PAR 4 BIRDIES OR BETTER)
Par 4 Birdie or Better Leaders - (PAR 4 HOLES)
Par 4 Birdie or Better Leaders - (ROUNDS)
Par 4 Eagle Leaders - (ROUNDS)
Par 4 Eagle Leaders - (TOTAL HOLE OUTS)
Par 4 Eagle Leaders - (TOTAL PAR 4 HOLES)
Par 4 Eagle Leaders - (TOTAL)
Par 4 Performance - (PAR 4 AVG)
Par 4 Performance - (ROUNDS)
Par 4 Performance - (STATUS)
Par 4 Performance - (TOTAL PAR)
Par 4 Scoring Average - (AVG)
Par 4 Scoring Average - (ROUNDS)
Par 4 Scoring Average - (TOTAL HOLES)
Par 4 Scoring Average - (TOTAL STROKES)
Par 5 Birdie or Better Leaders - (%)
Par 5 Birdie or Better Leaders - (PAR 5 BIRDIES OR BETTER)
Par 5 Birdie or Better Leaders - (PAR 5 HOLES)
Par 5 Birdie or Better Leaders - (ROUNDS)
Par 5 Eagle Leaders - (ROUNDS)
Par 5 Eagle Leaders - (TOTAL HOLE OUTS)
Par 5 Eagle Leaders - (TOTAL PAR 5 HOLES)
Par 5 Eagle Leaders - (TOTAL)
Par 5 Going for the Green - (%)
Par 5 Going for the Green - (ATTEMPTS)
Par 5 Going for the Green - (NON-ATTEMPTS)
Par 5 Going for the Green - (ROUNDS)
Par 5 Performance - (PAR 5 AVG)
Par 5 Performance - (ROUNDS)
Par 5 Performance - (STATUS)
Par 5 Performance - (TOTAL PAR)
Par 5 Scoring Average - (AVG)
Par 5 Scoring Average - (ROUNDS)
Par 5 Scoring Average - (TOTAL HOLES)
Par 5 Scoring Average - (TOTAL STROKES)
Par Breakers - (# BIRDIES/EAGLES)
Par Breakers - (# HOLES)
Par Breakers - (%)
Par Breakers - (ROUNDS)
Percentage of Available Purse Won - (%)
Percentage of Available Purse Won - (EVENTS)
Percentage of Available Purse Won - (OFFICIAL MONEY WON)
Percentage of Available Purse Won - (TOTAL PURSE AVAILABLE)
Percentage of Yardage covered by Tee Shots - (AVG (%))
Percentage of Yardage covered by Tee Shots - (ROUNDS)
Percentage of Yardage covered by Tee Shots - (TOTAL DISTANCE)
Percentage of Yardage covered by Tee Shots - (TOTAL SHOT DISTANCE)
Percentage of Yardage covered by Tee Shots - Par 4&#39;s - (AVG (%))
Percentage of Yardage covered by Tee Shots - Par 4&#39;s - (ROUNDS)
Percentage of Yardage covered by Tee Shots - Par 4&#39;s - (TOTAL DISTANCE)
Percentage of Yardage covered by Tee Shots - Par 4&#39;s - (TOTAL SHOT DISTANCE)
Percentage of Yardage covered by Tee Shots - Par 5&#39;s - (AVG (%))
Percentage of Yardage covered by Tee Shots - Par 5&#39;s - (ROUNDS)
Percentage of Yardage covered by Tee Shots - Par 5&#39;s - (TOTAL DISTANCE)
Percentage of Yardage covered by Tee Shots - Par 5&#39;s - (TOTAL SHOT DISTANCE)
Percentage of potential money won - (%)
Percentage of potential money won - (EVENTS)
Percentage of potential money won - (OFFICIAL MONEY WON)
Percentage of potential money won - (POTENTIAL MONEY)
Power Rating - (EVENTS)
Power Rating - (RATING)
Proximity to Hole (ARG) - (# OF SHOTS)
Proximity to Hole (ARG) - (AVG DTP)
Proximity to Hole (ARG) - (ROUNDS)
Proximity to Hole (ARG) - (SCRAMBLING RANK)
Proximity to Hole (ARG) - (TOTAL DISTANCE (FEET))
Proximity to Hole - (# OF ATTEMPTS)
Proximity to Hole - (AVG)
Proximity to Hole - (GIR RANK)
Proximity to Hole - (ROUNDS)
Proximity to Hole - (TOTAL DISTANCE (FEET))
Proximity to Hole from 10-20 yards - (# OF SHOTS)
Proximity to Hole from 10-20 yards - (AVG DTP)
Proximity to Hole from 10-20 yards - (ROUNDS)
Proximity to Hole from 10-20 yards - (SCRAMBLING RANK)
Proximity to Hole from 10-20 yards - (TOTAL DISTANCE (FEET))
Proximity to Hole from 20-30 yards - (# OF SHOTS)
Proximity to Hole from 20-30 yards - (AVG DTP)
Proximity to Hole from 20-30 yards - (ROUNDS)
Proximity to Hole from 20-30 yards - (SCRAMBLING RANK)
Proximity to Hole from 20-30 yards - (TOTAL DISTANCE (FEET))
Proximity to Hole from 30+ yards - (# OF SHOTS)
Proximity to Hole from 30+ yards - (AVG DTP)
Proximity to Hole from 30+ yards - (ROUNDS)
Proximity to Hole from 30+ yards - (SCRAMBLING RANK)
Proximity to Hole from 30+ yards - (TOTAL DISTANCE (FEET))
Proximity to Hole from &lt; 10 yards - (# OF SHOTS)
Proximity to Hole from &lt; 10 yards - (AVG DTP)
Proximity to Hole from &lt; 10 yards - (ROUNDS)
Proximity to Hole from &lt; 10 yards - (SCRAMBLING RANK)
Proximity to Hole from &lt; 10 yards - (TOTAL DISTANCE (FEET))
Proximity to Hole from Fringe - (# OF SHOTS)
Proximity to Hole from Fringe - (AVG DTP)
Proximity to Hole from Fringe - (ROUNDS)
Proximity to Hole from Fringe - (SCRAMBLING RANK)
Proximity to Hole from Fringe - (TOTAL DISTANCE (FEET))
Proximity to Hole from Other Locations - (# OF SHOTS)
Proximity to Hole from Other Locations - (AVG DTP)
Proximity to Hole from Other Locations - (ROUNDS)
Proximity to Hole from Other Locations - (SCRAMBLING RANK)
Proximity to Hole from Other Locations - (TOTAL DISTANCE (FEET))
Proximity to Hole from Rough - (# OF SHOTS)
Proximity to Hole from Rough - (AVG DTP)
Proximity to Hole from Rough - (ROUNDS)
Proximity to Hole from Rough - (SCRAMBLING RANK)
Proximity to Hole from Rough - (TOTAL DISTANCE (FEET))
Proximity to Hole from Sand - (# OF SHOTS)
Proximity to Hole from Sand - (AVG DTP)
Proximity to Hole from Sand - (ROUNDS)
Proximity to Hole from Sand - (SCRAMBLING RANK)
Proximity to Hole from Sand - (TOTAL DISTANCE (FEET))
Putting - Inside 10&#39; - (% MADE)
Putting - Inside 10&#39; - (ATTEMPTS)
Putting - Inside 10&#39; - (PUTTS MADE)
Putting - Inside 10&#39; - (ROUNDS)
Putting Average - (AVG)
Putting Average - (BIRDIE CONVERSION)
Putting Average - (GIR PUTTS)
Putting Average - (GIR RANK)
Putting Average - (GREENS HIT)
Putting Average - (ROUNDS)
Putting from - 10-15&#39; - (% MADE)
Putting from - 10-15&#39; - (ATTEMPTS)
Putting from - 10-15&#39; - (PUTTS MADE)
Putting from - 10-15&#39; - (ROUNDS)
Putting from - 15-20&#39; - (% MADE)
Putting from - 15-20&#39; - (ATTEMPTS)
Putting from - 15-20&#39; - (PUTTS MADE)
Putting from - 15-20&#39; - (ROUNDS)
Putting from - 20-25&#39; - (% MADE)
Putting from - 20-25&#39; - (ATTEMPTS)
Putting from - 20-25&#39; - (PUTTS MADE)
Putting from - 20-25&#39; - (ROUNDS)
Putting from - &gt; 10&#39; - (% MADE)
Putting from - &gt; 10&#39; - (ATTEMPTS)
Putting from - &gt; 10&#39; - (PUTTS MADE)
Putting from - &gt; 10&#39; - (ROUNDS)
Putting from - &gt; 20&#39; - (% MADE)
Putting from - &gt; 20&#39; - (ATTEMPTS)
Putting from - &gt; 20&#39; - (PUTTS MADE)
Putting from - &gt; 20&#39; - (ROUNDS)
Putting from - &gt; 25&#39; - (% MADE)
Putting from - &gt; 25&#39; - (ATTEMPTS)
Putting from - &gt; 25&#39; - (PUTTS MADE)
Putting from - &gt; 25&#39; - (ROUNDS)
Putting from 10&#39; - (% MADE)
Putting from 10&#39; - (ATTEMPTS)
Putting from 10&#39; - (PUTTS MADE)
Putting from 10&#39; - (ROUNDS)
Putting from 15-25&#39; - (% MADE)
Putting from 15-25&#39; - (ATTEMPTS)
Putting from 15-25&#39; - (PUTTS MADE)
Putting from 15-25&#39; - (ROUNDS)
Putting from 3&#39; - (% MADE)
Putting from 3&#39; - (ATTEMPTS)
Putting from 3&#39; - (PUTTS MADE)
Putting from 3&#39; - (ROUNDS)
Putting from 3-5&#39; - (% MADE)
Putting from 3-5&#39; - (ATTEMPTS)
Putting from 3-5&#39; - (PUTTS MADE)
Putting from 3-5&#39; - (ROUNDS)
Putting from 4&#39; - (% MADE)
Putting from 4&#39; - (ATTEMPTS)
Putting from 4&#39; - (PUTTS MADE)
Putting from 4&#39; - (ROUNDS)
Putting from 4-8&#39; - (% MADE)
Putting from 4-8&#39; - (ATTEMPTS)
Putting from 4-8&#39; - (PUTTS MADE)
Putting from 4-8&#39; - (ROUNDS)
Putting from 5&#39; - (% MADE)
Putting from 5&#39; - (ATTEMPTS)
Putting from 5&#39; - (PUTTS MADE)
Putting from 5&#39; - (ROUNDS)
Putting from 5-10&#39; - (%)
Putting from 5-10&#39; - (ATTEMPTS)
Putting from 5-10&#39; - (PUTTS MADE)
Putting from 5-10&#39; - (ROUNDS)
Putting from 5-15&#39; - (% MADE)
Putting from 5-15&#39; - (ATTEMPTS)
Putting from 5-15&#39; - (PUTTS MADE)
Putting from 5-15&#39; - (ROUNDS)
Putting from 6&#39; - (% MADE)
Putting from 6&#39; - (ATTEMPTS)
Putting from 6&#39; - (PUTTS MADE)
Putting from 6&#39; - (ROUNDS)
Putting from 7&#39; - (% MADE)
Putting from 7&#39; - (ATTEMPTS)
Putting from 7&#39; - (PUTTS MADE)
Putting from 7&#39; - (ROUNDS)
Putting from 8&#39; - (% MADE)
Putting from 8&#39; - (ATTEMPTS)
Putting from 8&#39; - (PUTTS MADE)
Putting from 8&#39; - (ROUNDS)
Putting from 9&#39; - (% MADE)
Putting from 9&#39; - (ATTEMPTS)
Putting from 9&#39; - (PUTTS MADE)
Putting from 9&#39; - (ROUNDS)
Putting from Inside 5&#39; - (%)
Putting from Inside 5&#39; - (ATTEMPTS)
Putting from Inside 5&#39; - (PUTTS MADE)
Putting from Inside 5&#39; - (ROUNDS)
Putts Made Per Event Over 10&#39; - (PUTTS MADE)
Putts Made Per Event Over 10&#39; - (ROUNDS)
Putts Made Per Event Over 20&#39; - (PUTTS MADE)
Putts Made Per Event Over 20&#39; - (ROUNDS)
Putts Per Round - (AVG)
Putts Per Round - (LOW TOTAL PUTTS)
Putts Per Round - (ROUNDS)
Putts Per Round - (TOTAL PUTTS)
Putts Per Round - (TOTAL ROUNDS)
Putts made Distance - (DISTANCE IN INCHES)
Putts made Distance - (EVENTS)
Reverse Bounce Back - (% UNDER THEN OVER PAR)
Reverse Bounce Back - (ROUNDS)
Reverse Bounce Back - (TOTAL UNDER THEN OVER PAR)
Reverse Bounce Back - (UNDER PAR)
Right Rough Proximity - (ATTEMPTS)
Right Rough Proximity - (AVG)
Right Rough Proximity - (RELATIVE TO PAR)
Right Rough Proximity - (ROUNDS)
Right Rough Proximity - (TOTAL DISTANCE (FEET))
Right Rough Tendency (RTP Score) - (ROUNDS)
Right Rough Tendency (RTP Score) - (RTP SCORE)
Right Rough Tendency - (%)
Right Rough Tendency - (POSSIBLE FWYS)
Right Rough Tendency - (RELATIVE TO PAR)
Right Rough Tendency - (ROUNDS)
Right Rough Tendency - (TOTAL RIGHT ROUGH)
Right Tendency - (%)
Right Tendency - (ATTEMPTS)
Right Tendency - (AVG RTP SCORE)
Right Tendency - (EVENTS)
Right Tendency - (NUMBER OF TIMES)
Rough Proximity - (ATTEMPTS)
Rough Proximity - (AVG)
Rough Proximity - (RELATIVE TO PAR)
Rough Proximity - (ROUNDS)
Rough Proximity - (TOTAL DISTANCE (FEET))
Rough Proximity - (TOTAL DISTANCE (INCHES))
Rough Tendency - (%)
Rough Tendency - (POSSIBLE FWYS)
Rough Tendency - (RELATIVE TO PAR)
Rough Tendency - (ROUNDS)
Rough Tendency - (TOTAL ROUGH)
Rounds in the 60&#39;s - (EVENTS)
Rounds in the 60&#39;s - (TOTAL RNDS)
Ryder Cup Points - (EVENTS)
Ryder Cup Points - (POINTS)
SG: Approach the Green - (AVERAGE)
SG: Approach the Green - (MEASURED ROUNDS)
SG: Approach the Green - (ROUNDS)
SG: Approach the Green - (TOTAL SG:APP)
SG: Approach-the-Green - (AVERAGE)
SG: Approach-the-Green - (MEASURED ROUNDS)
SG: Approach-the-Green - (ROUNDS)
SG: Approach-the-Green - (TOTAL SG:APP)
SG: Around the Green - (AVERAGE)
SG: Around the Green - (MEASURED ROUNDS)
SG: Around the Green - (ROUNDS)
SG: Around the Green - (TOTAL SG:ARG)
SG: Around-the-Green - (AVERAGE)
SG: Around-the-Green - (MEASURED ROUNDS)
SG: Around-the-Green - (ROUNDS)
SG: Around-the-Green - (TOTAL SG:ARG)
SG: Off-the-Tee - (AVERAGE)
SG: Off-the-Tee - (MEASURED ROUNDS)
SG: Off-the-Tee - (ROUNDS)
SG: Off-the-Tee - (TOTAL SG:OTT)
SG: Putting - (AVERAGE)
SG: Putting - (MEASURED ROUNDS)
SG: Putting - (ROUNDS)
SG: Putting - (TOTAL SG:PUTTING)
SG: Tee-to-Green - (AVERAGE)
SG: Tee-to-Green - (MEASURED ROUNDS)
SG: Tee-to-Green - (ROUNDS)
SG: Tee-to-Green - (SG:APR)
SG: Tee-to-Green - (SG:ARG)
SG: Tee-to-Green - (SG:OTT)
SG: Total - (AVERAGE)
SG: Total - (MEASURED ROUNDS)
SG: Total - (ROUNDS)
SG: Total - (TOTAL SG:P)
SG: Total - (TOTAL SG:T)
SG: Total - (TOTAL SG:T2G)
Sand Save Percentage - (# BUNKERS)
Sand Save Percentage - (# SAVES)
Sand Save Percentage - (%)
Sand Save Percentage - (ROUNDS)
Sand Save Percentage - (TOTAL O/U PAR)
Sand Saves from 10-20 yards - (# OF BUNKERS)
Sand Saves from 10-20 yards - (# OF SAVES)
Sand Saves from 10-20 yards - (%)
Sand Saves from 10-20 yards - (ROUNDS)
Sand Saves from 20-30 yards - (# OF BUNKERS)
Sand Saves from 20-30 yards - (# OF SAVES)
Sand Saves from 20-30 yards - (%)
Sand Saves from 20-30 yards - (ROUNDS)
Sand Saves from 30+ yards - (# OF BUNKERS)
Sand Saves from 30+ yards - (# OF SAVES)
Sand Saves from 30+ yards - (%)
Sand Saves from 30+ yards - (ROUNDS)
Sand Saves from &lt; 10 yards - (# OF BUNKERS)
Sand Saves from &lt; 10 yards - (# OF SAVES)
Sand Saves from &lt; 10 yards - (%)
Sand Saves from &lt; 10 yards - (ROUNDS)
Scoring Average (Actual) - (AVG)
Scoring Average (Actual) - (ROUNDS)
Scoring Average (Actual) - (TOTAL ROUNDS)
Scoring Average (Actual) - (TOTAL STROKES)
Scoring Average - (AVG)
Scoring Average - (ROUNDS)
Scoring Average - (TOTAL ADJUSTMENT)
Scoring Average - (TOTAL ROUNDS)
Scoring Average - (TOTAL STROKES)
Scrambling - (%)
Scrambling - (MISSED GIR)
Scrambling - (PAR OR BETTER)
Scrambling - (ROUNDS)
Scrambling 10-20 yds (RTP Score) - (AVG RTP)
Scrambling 10-20 yds (RTP Score) - (ROUNDS)
Scrambling 10-20 yds (RTP Score) - (TOTAL HOLES)
Scrambling 10-20 yds (RTP Score) - (TOTAL RTP)
Scrambling 20-30 yds (RTP Score) - (AVG RTP)
Scrambling 20-30 yds (RTP Score) - (ROUNDS)
Scrambling 20-30 yds (RTP Score) - (TOTAL HOLES)
Scrambling 20-30 yds (RTP Score) - (TOTAL RTP)
Scrambling &gt; 30 yds (RTP Score) - (AVG RTP)
Scrambling &gt; 30 yds (RTP Score) - (ROUNDS)
Scrambling &gt; 30 yds (RTP Score) - (TOTAL HOLES)
Scrambling &gt; 30 yds (RTP Score) - (TOTAL RTP)
Scrambling Average Distance to Hole - (ATTEMPTS)
Scrambling Average Distance to Hole - (AVG DTP)
Scrambling Average Distance to Hole - (ROUNDS)
Scrambling Average Distance to Hole - (TOTAL DISTANCE (FEET))
Scrambling Fringe (RTP Score) - (AVG RTP)
Scrambling Fringe (RTP Score) - (ROUNDS)
Scrambling Fringe (RTP Score) - (TOTAL HOLES)
Scrambling Fringe (RTP Score) - (TOTAL RTP)
Scrambling Rough (RTP Score) - (AVG RTP)
Scrambling Rough (RTP Score) - (ROUNDS)
Scrambling Rough (RTP Score) - (TOTAL HOLES)
Scrambling Rough (RTP Score) - (TOTAL RTP)
Scrambling from 10-20 yards - (%)
Scrambling from 10-20 yards - (ATTEMPTS)
Scrambling from 10-20 yards - (ROUNDS)
Scrambling from 10-20 yards - (SUCCESSES)
Scrambling from 20-30 yards - (%)
Scrambling from 20-30 yards - (ATTEMPTS)
Scrambling from 20-30 yards - (ROUNDS)
Scrambling from 20-30 yards - (SUCCESSES)
Scrambling from &lt; 10 yards - (%)
Scrambling from &lt; 10 yards - (ATTEMPTS)
Scrambling from &lt; 10 yards - (ROUNDS)
Scrambling from &lt; 10 yards - (SUCCESSES)
Scrambling from &gt; 30 yards - (%)
Scrambling from &gt; 30 yards - (ATTEMPTS)
Scrambling from &gt; 30 yards - (ROUNDS)
Scrambling from &gt; 30 yards - (SUCCESSES)
Scrambling from Other Locations - (%)
Scrambling from Other Locations - (ATTEMPTS)
Scrambling from Other Locations - (ROUNDS)
Scrambling from Other Locations - (SUCCESSES)
Scrambling from the Fringe - (%)
Scrambling from the Fringe - (ATTEMPTS)
Scrambling from the Fringe - (ROUNDS)
Scrambling from the Fringe - (SUCCESSES)
Scrambling from the Rough - (%)
Scrambling from the Rough - (ATTEMPTS)
Scrambling from the Rough - (ROUNDS)
Scrambling from the Rough - (SUCCESSES)
Scrambling from the Sand - (%)
Scrambling from the Sand - (ATTEMPTS)
Scrambling from the Sand - (ROUNDS)
Scrambling from the Sand - (SUCCESSES)
Short Game Rating - (EVENTS)
Short Game Rating - (RATING)
Smash Factor - (AVG.)
Smash Factor - (HIGHEST VALUE)
Smash Factor - (LOWEST VALUE)
Smash Factor - (ROUNDS)
Smash Factor - (TOTAL ATTEMPTS)
Smash Factor - (TOTAL SMASH FACTOR)
Spin Rate - (AVG.)
Spin Rate - (HIGHEST SPIN RATE)
Spin Rate - (LOWEST SPIN RATE)
Spin Rate - (ROUNDS)
Spin Rate - (TOTAL ATTEMPTS)
Spin Rate - (TOTAL SPIN SPEED)
Stroke Differential Field Average - (FIELD AVERAGE SCORE)
Stroke Differential Field Average - (PLAYER&#39;S SCORE)
Stroke Differential Field Average - (ROUNDS)
Stroke Differential Field Average - (STROKE DIFFERENTIAL)
Tenth Tee Early Lowest Round - (LOW RND)
Tenth Tee Early Lowest Round - (ROUNDS)
Tenth Tee Early Par 3 Scoring Average - (AVG)
Tenth Tee Early Par 3 Scoring Average - (ROUNDS)
Tenth Tee Early Par 3 Scoring Average - (TOTAL HOLES)
Tenth Tee Early Par 3 Scoring Average - (TOTAL STROKES)
Tenth Tee Early Par 4 Scoring Average - (AVG)
Tenth Tee Early Par 4 Scoring Average - (ROUNDS)
Tenth Tee Early Par 4 Scoring Average - (TOTAL HOLES)
Tenth Tee Early Par 4 Scoring Average - (TOTAL STROKES)
Tenth Tee Early Par 5 Scoring Average - (AVG)
Tenth Tee Early Par 5 Scoring Average - (ROUNDS)
Tenth Tee Early Par 5 Scoring Average - (TOTAL HOLES)
Tenth Tee Early Par 5 Scoring Average - (TOTAL STROKES)
Tenth Tee Early Scoring Average - (AVG)
Tenth Tee Early Scoring Average - (ROUNDS)
Tenth Tee Early Scoring Average - (TOTAL 10TH TEE EARLY RDS.)
Tenth Tee Early Scoring Average - (TOTAL STROKES)
Tenth Tee Late Lowest Round - (LOW RND)
Tenth Tee Late Lowest Round - (ROUNDS)
Tenth Tee Late Par 3 Scoring Average - (AVG)
Tenth Tee Late Par 3 Scoring Average - (ROUNDS)
Tenth Tee Late Par 3 Scoring Average - (TOTAL HOLES)
Tenth Tee Late Par 3 Scoring Average - (TOTAL STROKES)
Tenth Tee Late Par 4 Scoring Average - (AVG)
Tenth Tee Late Par 4 Scoring Average - (ROUNDS)
Tenth Tee Late Par 4 Scoring Average - (TOTAL HOLES)
Tenth Tee Late Par 4 Scoring Average - (TOTAL STROKES)
Tenth Tee Late Par 5 Scoring Average - (AVG)
Tenth Tee Late Par 5 Scoring Average - (ROUNDS)
Tenth Tee Late Par 5 Scoring Average - (TOTAL HOLES)
Tenth Tee Late Par 5 Scoring Average - (TOTAL STROKES)
Tenth Tee Late Scoring Average - (AVG)
Tenth Tee Late Scoring Average - (ROUNDS)
Tenth Tee Late Scoring Average - (TOTAL 10TH TEE LATE RNDS.)
Tenth Tee Late Scoring Average - (TOTAL STROKES)
Top 10 Final Round Performance - (# OF TIMES IMPROVED)
Top 10 Final Round Performance - (% TIMES IMPROVED)
Top 10 Final Round Performance - (EVENTS)
Top 10 Finishes - (1ST)
Top 10 Finishes - (2ND)
Top 10 Finishes - (3RD)
Top 10 Finishes - (EVENTS)
Top 10 Finishes - (TOP 10)
Top 5 Final Round Performance - (# OF TIMES IMPROVED)
Top 5 Final Round Performance - (% TIMES IMPROVED)
Top 5 Final Round Performance - (EVENTS)
Total 1 Putts - 10-15&#39; - (PCT OF ALL 1-PUTTS)
Total 1 Putts - 10-15&#39; - (ROUNDS)
Total 1 Putts - 10-15&#39; - (TOTAL (FOR ALL DISTANCES))
Total 1 Putts - 10-15&#39; - (TOTAL)
Total 1 Putts - 15-20&#39; - (PCT OF ALL 1-PUTTS)
Total 1 Putts - 15-20&#39; - (ROUNDS)
Total 1 Putts - 15-20&#39; - (TOTAL (FOR ALL DISTANCES))
Total 1 Putts - 15-20&#39; - (TOTAL)
Total 1 Putts - 20-25&#39; - (PCT OF ALL 1-PUTTS)
Total 1 Putts - 20-25&#39; - (ROUNDS)
Total 1 Putts - 20-25&#39; - (TOTAL (FOR ALL DISTANCES))
Total 1 Putts - 20-25&#39; - (TOTAL)
Total 1 Putts - 5-10&#39; - (PCT OF ALL 1-PUTTS)
Total 1 Putts - 5-10&#39; - (ROUNDS)
Total 1 Putts - 5-10&#39; - (TOTAL (FOR ALL DISTANCES))
Total 1 Putts - 5-10&#39; - (TOTAL)
Total 1 Putts - &gt; 25&#39; - (PCT OF ALL 1-PUTTS)
Total 1 Putts - &gt; 25&#39; - (ROUNDS)
Total 1 Putts - &gt; 25&#39; - (TOTAL (FOR ALL DISTANCES))
Total 1 Putts - &gt; 25&#39; - (TOTAL)
Total 1 Putts - Inside 5&#39; - (PCT OF ALL 1-PUTTS)
Total 1 Putts - Inside 5&#39; - (ROUNDS)
Total 1 Putts - Inside 5&#39; - (TOTAL (FOR ALL DISTANCES))
Total 1 Putts - Inside 5&#39; - (TOTAL)
Total 3 Putts - 10-15&#39; - (ROUNDS)
Total 3 Putts - 10-15&#39; - (TOTAL 3 PUTTS 10&#39;-15&#39;)
Total 3 Putts - 10-15&#39; - (TOTAL 3 PUTTS)
Total 3 Putts - 15-20&#39; - (ROUNDS)
Total 3 Putts - 15-20&#39; - (TOTAL 3 PUTTS 15&#39;-20&#39;)
Total 3 Putts - 15-20&#39; - (TOTAL 3 PUTTS)
Total 3 Putts - 20-25&#39; - (ROUNDS)
Total 3 Putts - 20-25&#39; - (TOTAL 3 PUTTS 20&#39;-25&#39;)
Total 3 Putts - 20-25&#39; - (TOTAL 3 PUTTS)
Total 3 Putts - 5-10&#39; - (ROUNDS)
Total 3 Putts - 5-10&#39; - (TOTAL 3 PUTTS 5&#39;-10&#39;)
Total 3 Putts - 5-10&#39; - (TOTAL 3 PUTTS)
Total 3 Putts - &gt; 25&#39; - (ROUNDS)
Total 3 Putts - &gt; 25&#39; - (TOTAL 3 PUTTS &gt; 25&#39;)
Total 3 Putts - &gt; 25&#39; - (TOTAL 3 PUTTS)
Total 3 Putts - Inside 5&#39; - (ROUNDS)
Total 3 Putts - Inside 5&#39; - (TOTAL 3 PUTTS INSIDE 5&#39;)
Total 3 Putts - Inside 5&#39; - (TOTAL 3 PUTTS)
Total Birdies - (ROUNDS)
Total Birdies - (TOTAL)
Total Distance Efficiency - (AVERAGE CLUB HEAD SPEED)
Total Distance Efficiency - (AVERAGE DISTANCE (YARDS))
Total Distance Efficiency - (AVG.)
Total Distance Efficiency - (HIGHEST DIST. EFFICIENCY)
Total Distance Efficiency - (ROUNDS)
Total Distance Efficiency - (TOTAL ATTEMPTS)
Total Driving - (ACCURACY RANK)
Total Driving - (DISTANCE RANK)
Total Driving - (EVENTS)
Total Driving - (TOTAL)
Total Driving Efficiency - (CARRY EFFICIENCY RANK)
Total Driving Efficiency - (COMBINED RANK)
Total Driving Efficiency - (ROUNDS)
Total Driving Efficiency - (TOTAL DIST. EFFIC. RANK)
Total Eagles - (ROUNDS)
Total Eagles - (TOTAL)
Total Hole Outs - (HOLE OUTS)
Total Hole Outs - (ROUNDS)
Total Money (Official and Unofficial) - (EVENTS)
Total Money (Official and Unofficial) - (MONEY)
Total Putting - (EVENTS)
Total Putting - (TOTAL)
Victory Leaders - (EVENTS)
Victory Leaders - (VICTORIES)
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Only keep the average, percentage, and points variables, otherwise there will be many 1.0 co-efficients cluttering the analysis.</span>
<span class="k">for</span> <span class="n">col</span> <span class="ow">in</span> <span class="n">df</span><span class="o">.</span><span class="n">columns</span><span class="p">:</span>
    <span class="k">if</span> <span class="s1">&#39;AVG&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">col</span> <span class="ow">and</span> <span class="s1">&#39;%&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">col</span> <span class="ow">and</span> <span class="s1">&#39;POINTS&#39;</span> <span class="ow">not</span> <span class="ow">in</span> <span class="n">col</span><span class="p">:</span>
        <span class="k">del</span> <span class="n">df</span><span class="p">[</span><span class="n">col</span><span class="p">]</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Since the data is zero-inflated, replace 0 values with NaN values before analyzing correlations. Otherwise the correlations will also be inflated.</span>

<span class="n">corr_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span> <span class="p">:</span><span class="mi">2</span><span class="p">],</span> <span class="n">df</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span> <span class="mi">2</span><span class="p">:]</span><span class="o">.</span><span class="n">replace</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="n">np</span><span class="o">.</span><span class="n">nan</span><span class="p">)],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

<span class="n">corr_df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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      <th>Variable</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (# OF TOP 10'S)</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (# OF WINS)</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (%)</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (EVENTS)</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (PLAYOFF POINTS WON)</th>
      <th>% of Potential Pts won - FedExCup Playoffs - (POTENTIAL PTS)</th>
      <th>% of Potential Pts won - FedExCup Regular Season - (# OF TOP 10'S)</th>
      <th>% of Potential Pts won - FedExCup Regular Season - (# OF WINS)</th>
      <th>% of Potential Pts won - FedExCup Regular Season - (%)</th>
      <th>% of Potential Pts won - FedExCup Regular Season - (EVENTS)</th>
      <th>...</th>
      <th>Tenth Tee Early Par 4 Scoring Average - (AVG)</th>
      <th>Tenth Tee Early Par 5 Scoring Average - (AVG)</th>
      <th>Tenth Tee Early Scoring Average - (AVG)</th>
      <th>Tenth Tee Late Par 3 Scoring Average - (AVG)</th>
      <th>Tenth Tee Late Par 4 Scoring Average - (AVG)</th>
      <th>Tenth Tee Late Par 5 Scoring Average - (AVG)</th>
      <th>Tenth Tee Late Scoring Average - (AVG)</th>
      <th>Top 10 Final Round Performance - (% TIMES IMPROVED)</th>
      <th>Top 5 Final Round Performance - (% TIMES IMPROVED)</th>
      <th>Total Distance Efficiency - (AVG.)</th>
    </tr>
  </thead>
  <tbody>
    <tr>
      <th>9</th>
      <td>0.0</td>
      <td>0.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>61</th>
      <td>0.0</td>
      <td>0.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>3.0</td>
      <td>NaN</td>
      <td>5.28</td>
      <td>18.0</td>
      <td>...</td>
      <td>4.09</td>
      <td>5.04</td>
      <td>72.50</td>
      <td>3.02</td>
      <td>3.98</td>
      <td>4.57</td>
      <td>69.77</td>
      <td>50.0</td>
      <td>50.0</td>
      <td>2.544</td>
    </tr>
    <tr>
      <th>92</th>
      <td>0.0</td>
      <td>0.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>123</th>
      <td>0.0</td>
      <td>0.0</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>...</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>NaN</td>
    </tr>
    <tr>
      <th>154</th>
      <td>0.0</td>
      <td>0.0</td>
      <td>2.03</td>
      <td>21.0</td>
      <td>41.0</td>
      <td>NaN</td>
      <td>1.0</td>
      <td>NaN</td>
      <td>3.77</td>
      <td>21.0</td>
      <td>...</td>
      <td>4.02</td>
      <td>4.51</td>
      <td>69.23</td>
      <td>3.04</td>
      <td>3.96</td>
      <td>4.50</td>
      <td>69.29</td>
      <td>NaN</td>
      <td>NaN</td>
      <td>2.643</td>
    </tr>
  </tbody>
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<p>5 rows × 323 columns</p>
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<p><a id='corr_analysis'></a></p>

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<h2 id="Correlation-Analysis">Correlation Analysis<a class="anchor-link" href="#Correlation-Analysis">&#182;</a></h2><p><a href="#ToC">Back to Table of Contents</a></p>
<p>I chose scoring average as the dependent variable because I figured it would be a good measure for overall golf performance. Now from this point, the task is to find another statistical variable that has a linear relationship to scoring average. If the relationship is strong enough and significant, then it can be used as the independent variable for predicting in the regression model.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">dependent_var</span> <span class="o">=</span> <span class="s1">&#39;Scoring Average - (AVG)&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Create a sorted Pierson correlation matrix to understand variable pair relationships.</span>

<span class="n">matrix_df</span> <span class="o">=</span> <span class="n">corr_df</span><span class="o">.</span><span class="n">corr</span><span class="p">()</span>
<span class="n">unstack_matrix</span> <span class="o">=</span> <span class="n">matrix_df</span><span class="o">.</span><span class="n">unstack</span><span class="p">()</span>
<span class="n">sorted_matrix</span> <span class="o">=</span> <span class="n">unstack_matrix</span><span class="o">.</span><span class="n">sort_values</span><span class="p">(</span><span class="n">kind</span><span class="o">=</span><span class="s1">&#39;quicksort&#39;</span><span class="p">,</span> <span class="n">ascending</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">na_position</span><span class="o">=</span><span class="s1">&#39;first&#39;</span><span class="p">)</span><span class="o">.</span><span class="n">dropna</span><span class="p">()</span>
  
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;ALL CORRELATIONS ARE BETWEEN </span><span class="se">\&quot;</span><span class="si">{}</span><span class="se">\&quot;</span><span class="s1"> AND AN ARBITRARY VARIABLE&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">dependent_var</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;=&#39;</span><span class="o">*</span><span class="mi">95</span><span class="o">+</span><span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">)</span>
    
<span class="n">count</span> <span class="o">=</span> <span class="mi">0</span>
<span class="k">for</span> <span class="n">pair</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">sorted_matrix</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
    <span class="k">if</span> <span class="n">pair</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">==</span> <span class="n">dependent_var</span> <span class="ow">and</span> <span class="n">count</span> <span class="o">&lt;</span> <span class="mi">20</span><span class="p">:</span>
        <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{:68}</span><span class="s1"> PIERSON CO-EFF.&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">pair</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span> <span class="o">+</span> <span class="s1">&#39; ,&#39;</span><span class="p">))</span>
        <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{:68}</span><span class="s1"> </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">pair</span><span class="p">[</span><span class="mi">1</span><span class="p">],</span> <span class="n">val</span><span class="p">))</span>
        <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;-&#39;</span><span class="o">*</span><span class="mi">88</span><span class="p">)</span>
        <span class="n">count</span> <span class="o">+=</span> <span class="mi">1</span>
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<pre>ALL CORRELATIONS ARE BETWEEN &#34;Scoring Average - (AVG)&#34; AND AN ARBITRARY VARIABLE
===============================================================================================

Percentage of potential money won - (%) ,                            PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.7740769468826227
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% of Potential Pts won - FedExCup Regular Season - (%) ,             PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.7703528290509747
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Official World Golf Ranking - (POINTS GAINED) ,                      PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.7676635760634778
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Percentage of Available Purse Won - (%) ,                            PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.7662700860615613
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% of Potential Pts won - FedExCup Regular Season - (# OF TOP 10&#39;S) , PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.7516875832553787
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Official World Golf Ranking - (TOTAL POINTS) ,                       PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.7459976141536425
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Official World Golf Ranking - (AVG POINTS) ,                         PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.7419436750722389
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FedExCup Season Points - (POINTS) ,                                  PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.6832480825837313
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% of Potential Pts won - FedExCup Regular Season - (POINTS WON) ,    PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.6832480825837313
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Birdie or Better Percentage - (%) ,                                  PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.6633577846699888
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Par Breakers - (%) ,                                                 PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.6633577846699888
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Birdie Average - (AVG) ,                                             PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.6452320166010159
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Par 5 Birdie or Better Leaders - (%) ,                               PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.6120406498690202
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Birdie or Better Conversion Percentage - (%) ,                       PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.5551733636809635
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Birdie or Better Percentage - Fairway - (%) ,                        PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.5523146636505193
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Ryder Cup Points - (POINTS) ,                                        PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.5522728502126266
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Scrambling - (%) ,                                                   PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.5394672818543059
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FedExCup Points per Event Leaders - (POINTS PER EVENT) ,             PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.5230040650001073
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Par 4 Birdie or Better Leaders - (%) ,                               PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.5194181267682602
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Average Approach Shot Distance - (AVG) ,                             PIERSON CO-EFF.
Scoring Average - (AVG)                                              -0.516069448356391
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<p>It's important to note that in golf, a lower score is a better score. So we're looking for a strong negative linear relationship. That's to say that as the predictor variable increases, the scoring average will decrease.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Select the highly correlated pairs that contain the dependent variable.</span>

<span class="n">pairs</span> <span class="o">=</span> <span class="p">[]</span>

<span class="k">for</span> <span class="n">pair</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="n">sorted_matrix</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
    <span class="n">var1</span><span class="p">,</span> <span class="n">var2</span> <span class="o">=</span> <span class="n">pair</span>
    <span class="k">if</span> <span class="n">var2</span> <span class="o">==</span> <span class="n">dependent_var</span><span class="p">:</span>
        <span class="n">pairs</span><span class="o">.</span><span class="n">append</span><span class="p">([</span><span class="n">var1</span><span class="p">,</span> <span class="n">var2</span><span class="p">,</span> <span class="n">val</span><span class="p">])</span>
        
<span class="nb">print</span><span class="p">(</span><span class="o">*</span><span class="p">(</span><span class="n">pair</span> <span class="k">for</span> <span class="n">pair</span> <span class="ow">in</span> <span class="n">pairs</span><span class="p">[:</span><span class="mi">10</span><span class="p">]),</span> <span class="n">sep</span><span class="o">=</span><span class="s1">&#39;</span><span class="se">\n</span><span class="s1">&#39;</span><span class="p">)</span>
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<pre>[&#39;Percentage of potential money won - (%)&#39;, &#39;Scoring Average - (AVG)&#39;, -0.7740769468826227]
[&#39;% of Potential Pts won - FedExCup Regular Season - (%)&#39;, &#39;Scoring Average - (AVG)&#39;, -0.7703528290509747]
[&#39;Official World Golf Ranking - (POINTS GAINED)&#39;, &#39;Scoring Average - (AVG)&#39;, -0.7676635760634778]
[&#39;Percentage of Available Purse Won - (%)&#39;, &#39;Scoring Average - (AVG)&#39;, -0.7662700860615613]
[&#34;% of Potential Pts won - FedExCup Regular Season - (# OF TOP 10&#39;S)&#34;, &#39;Scoring Average - (AVG)&#39;, -0.7516875832553787]
[&#39;Official World Golf Ranking - (TOTAL POINTS)&#39;, &#39;Scoring Average - (AVG)&#39;, -0.7459976141536425]
[&#39;Official World Golf Ranking - (AVG POINTS)&#39;, &#39;Scoring Average - (AVG)&#39;, -0.7419436750722389]
[&#39;FedExCup Season Points - (POINTS)&#39;, &#39;Scoring Average - (AVG)&#39;, -0.6832480825837313]
[&#39;% of Potential Pts won - FedExCup Regular Season - (POINTS WON)&#39;, &#39;Scoring Average - (AVG)&#39;, -0.6832480825837313]
[&#39;Birdie or Better Percentage - (%)&#39;, &#39;Scoring Average - (AVG)&#39;, -0.6633577846699888]
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Test the significance of the correlations with the dependent variable using p-values of the co-effs.</span>

<span class="n">lin_regress_dict</span> <span class="o">=</span> <span class="p">{}</span>

<span class="k">for</span> <span class="n">pair</span> <span class="ow">in</span> <span class="n">pairs</span><span class="p">:</span>
    <span class="n">var1_list</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">pair</span><span class="p">[</span><span class="mi">0</span><span class="p">]]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
    <span class="n">var2_list</span> <span class="o">=</span> <span class="n">df</span><span class="p">[</span><span class="n">pair</span><span class="p">[</span><span class="mi">1</span><span class="p">]]</span><span class="o">.</span><span class="n">values</span><span class="o">.</span><span class="n">tolist</span><span class="p">()</span>
    <span class="p">(</span><span class="n">slope</span><span class="p">,</span> <span class="n">intercept</span><span class="p">,</span> <span class="n">r_value</span><span class="p">,</span> <span class="n">p_value</span><span class="p">,</span> <span class="n">std_err</span><span class="p">)</span> <span class="o">=</span> <span class="n">linregress</span><span class="p">(</span><span class="n">var1_list</span><span class="p">,</span> <span class="n">var2_list</span><span class="p">)</span>
    
    <span class="n">key_name</span> <span class="o">=</span> <span class="s2">&quot;</span><span class="si">{}</span><span class="s2">, </span><span class="si">{}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">pair</span><span class="p">[</span><span class="mi">0</span><span class="p">],</span> <span class="n">pair</span><span class="p">[</span><span class="mi">1</span><span class="p">])</span>
    <span class="n">lin_regress_dict</span><span class="p">[</span><span class="n">key_name</span><span class="p">]</span> <span class="o">=</span> <span class="p">((</span><span class="n">slope</span><span class="p">,</span> <span class="n">intercept</span><span class="p">,</span> <span class="n">r_value</span><span class="p">,</span> <span class="n">p_value</span><span class="p">,</span> <span class="n">std_err</span><span class="p">))</span>
    
<span class="c1"># Keep the most significantly correlated pairs</span>
<span class="k">for</span> <span class="n">key</span><span class="p">,</span> <span class="n">val</span> <span class="ow">in</span> <span class="nb">list</span><span class="p">(</span><span class="n">lin_regress_dict</span><span class="o">.</span><span class="n">items</span><span class="p">()):</span>
    <span class="k">if</span> <span class="n">val</span><span class="p">[</span><span class="mi">3</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mf">0.05</span><span class="p">:</span>  <span class="c1"># p-value &gt; 0.05</span>
        <span class="k">del</span> <span class="n">lin_regress_dict</span><span class="p">[</span><span class="n">key</span><span class="p">]</span>
        
<span class="n">count</span> <span class="o">=</span> <span class="mi">0</span>
<span class="k">for</span> <span class="n">k</span><span class="p">,</span><span class="n">v</span> <span class="ow">in</span> <span class="n">lin_regress_dict</span><span class="o">.</span><span class="n">items</span><span class="p">():</span>
    <span class="k">if</span> <span class="n">count</span> <span class="o">&lt;=</span> <span class="mi">5</span><span class="p">:</span>
        <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{}</span><span class="s1"> :</span><span class="se">\n</span><span class="si">{}</span><span class="se">\n</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">k</span><span class="p">,</span> <span class="n">v</span><span class="p">))</span>
        <span class="n">count</span> <span class="o">+=</span> <span class="mi">1</span>
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<pre>Percentage of potential money won - (%), Scoring Average - (AVG) :
(5.381674009014152, 4.52039975238837, 0.5847188221492998, 6.9034227405575465e-115, 0.21194913783365338)

% of Potential Pts won - FedExCup Regular Season - (%), Scoring Average - (AVG) :
(5.6890903679369, 5.18241446816625, 0.6536991369106911, 2.100499126212362e-152, 0.18695370093734132)

Official World Golf Ranking - (POINTS GAINED), Scoring Average - (AVG) :
(0.3981148907740719, 4.267216140989954, 0.5274860670164149, 5.807823895253145e-90, 0.018201512435540627)

Percentage of Available Purse Won - (%), Scoring Average - (AVG) :
(26.235882846942317, 4.857094281426137, 0.5711430310317552, 1.5821519707808137e-108, 1.0703578728690728)

% of Potential Pts won - FedExCup Regular Season - (# OF TOP 10&#39;S), Scoring Average - (AVG) :
(14.772565706529015, 4.663177734484051, 0.7239047306037958, 2.68247277619874e-202, 0.3996453262581878)

Official World Golf Ranking - (TOTAL POINTS), Scoring Average - (AVG) :
(0.2808090723180946, 3.328109056460262, 0.5505161308866423, 2.0560783684613574e-99, 0.01208788709218805)

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Sort the correlated pairs by p-value.</span>
<span class="n">sorted_pvalues</span> <span class="o">=</span> <span class="nb">sorted</span><span class="p">(</span><span class="n">lin_regress_dict</span><span class="o">.</span><span class="n">items</span><span class="p">(),</span> <span class="n">key</span><span class="o">=</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="n">x</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="c1"># Print the most significantly correlated variables to the dependent variable.</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;VARIABLE CORRELATIONS TO </span><span class="se">\&quot;</span><span class="si">{}</span><span class="se">\&quot;</span><span class="s1">, SORTED BY P-VALUE</span><span class="se">\n</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">dependent_var</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{:66}</span><span class="s1"> </span><span class="si">{:13}</span><span class="s1"> </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s1">&#39;VARIABLE NAME&#39;</span><span class="p">,</span> <span class="s1">&#39;R-VALUE&#39;</span><span class="p">,</span> <span class="s1">&#39;P-VALUE&#39;</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;=&#39;</span><span class="o">*</span><span class="mi">88</span><span class="p">)</span>

<span class="k">for</span> <span class="n">pair</span> <span class="ow">in</span> <span class="n">sorted_pvalues</span><span class="p">[:</span><span class="mi">10</span><span class="p">]:</span>
    <span class="n">var1</span><span class="p">,</span> <span class="n">var2</span> <span class="o">=</span> <span class="n">pair</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="o">.</span><span class="n">split</span><span class="p">(</span><span class="s1">&#39;, &#39;</span><span class="p">)</span>
    <span class="n">slope</span><span class="p">,</span> <span class="n">intercept</span><span class="p">,</span> <span class="n">r_value</span><span class="p">,</span> <span class="n">p_value</span><span class="p">,</span> <span class="n">std_err</span> <span class="o">=</span> <span class="n">pair</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span>
    
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{:60}</span><span class="s1">   |   </span><span class="si">{:6.4f}</span><span class="s1">   |   </span><span class="si">{:4}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">var1</span><span class="p">,</span> <span class="n">r_value</span><span class="o">.</span><span class="n">round</span><span class="p">(</span><span class="mi">4</span><span class="p">),</span> <span class="n">p_value</span><span class="p">))</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;-&#39;</span><span class="o">*</span><span class="mi">88</span><span class="p">)</span>  
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<pre>VARIABLE CORRELATIONS TO &#34;Scoring Average - (AVG)&#34;, SORTED BY P-VALUE

VARIABLE NAME                                                      R-VALUE       P-VALUE
========================================================================================
Birdie or Better Percentage - (%)                              |   0.9955   |    0.0
----------------------------------------------------------------------------------------
Par Breakers - (%)                                             |   0.9955   |    0.0
----------------------------------------------------------------------------------------
Birdie Average - (AVG)                                         |   0.9955   |    0.0
----------------------------------------------------------------------------------------
Par 5 Birdie or Better Leaders - (%)                           |   0.9926   |    0.0
----------------------------------------------------------------------------------------
Birdie or Better Conversion Percentage - (%)                   |   0.9962   |    0.0
----------------------------------------------------------------------------------------
Birdie or Better Percentage - Fairway - (%)                    |   0.9943   |    0.0
----------------------------------------------------------------------------------------
Scrambling - (%)                                               |   0.9980   |    0.0
----------------------------------------------------------------------------------------
Par 4 Birdie or Better Leaders - (%)                           |   0.9936   |    0.0
----------------------------------------------------------------------------------------
Average Approach Shot Distance - (AVG)                         |   0.9997   |    0.0
----------------------------------------------------------------------------------------
Bounce Back - (%)                                              |   0.9860   |    0.0
----------------------------------------------------------------------------------------
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<p>After looking through the correlations, I decided to choose average driving distance as the predictor for the regression. There are many variables that have a better linear relationship with scoring average, but most are not meaningful. There are many variables that are the same statistic but are measured differently. For example, "Top 10 Finishes - (1ST)" and "Top 10 Finishes - (TOP 10)". This correlation will be high because when someone finishes in first place, they're also finishing in the top 10. Another example of a pair that isn't significant for our use would be "Birdie Average - (AVG)" and "Scoring Average - (AVG)". These two are always mutually inclusive because in order to increase or decrease one, the other is going to follow suit. Besides that, advising someone to increase their birdie average in order to improve their scoring average is essentially just telling them to improve their scoring average. I was looking for a predictor that's a more specific part of someone's golf game, so they can focus on it and hopefully improve their overall game.</p>

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<p><a id='OLS'></a></p>

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<h1 id="Ordinary-Least-Squares-Regression">Ordinary Least Squares Regression<a class="anchor-link" href="#Ordinary-Least-Squares-Regression">&#182;</a></h1><p><a href="#ToC">Back to Table of Contents</a></p>
<p>In this case, it's a good idea to also remove the zeros from the data before using it for the OLS model. The cluster of zeros could
create significant bias with the model because there are so many of them.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="n">independent_var</span> <span class="o">=</span> <span class="s1">&#39;Driving Distance - (AVG.)&#39;</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Use original dataframe because we can&#39;t input NaN values into the OLS model. We can simply remove</span>
<span class="c1"># the zeros from the original dataframe.</span>
<span class="n">old_x</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="n">df</span><span class="p">[</span><span class="n">independent_var</span><span class="p">])</span>
<span class="n">old_y</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="n">df</span><span class="p">[</span><span class="n">dependent_var</span><span class="p">])</span>

<span class="n">new_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">old_x</span><span class="p">,</span> <span class="n">old_y</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

<span class="c1"># Drop entire variables that contain zero values.</span>
<span class="k">for</span> <span class="n">idx</span><span class="p">,</span> <span class="n">row</span> <span class="ow">in</span> <span class="n">new_df</span><span class="o">.</span><span class="n">iterrows</span><span class="p">():</span>
    <span class="k">if</span> <span class="n">row</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">&lt;=</span> <span class="mi">0</span><span class="p">:</span>
        <span class="n">new_df</span><span class="o">.</span><span class="n">drop</span><span class="p">(</span><span class="n">idx</span><span class="p">,</span> <span class="n">axis</span><span class="o">=</span><span class="mi">0</span><span class="p">,</span> <span class="n">inplace</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>

<span class="n">new_x</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="n">new_df</span><span class="p">[</span><span class="n">independent_var</span><span class="p">])</span>
<span class="n">new_y</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="n">new_df</span><span class="p">[</span><span class="n">dependent_var</span><span class="p">])</span>

<span class="n">new_df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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      <th></th>
      <th>Driving Distance - (AVG.)</th>
      <th>Scoring Average - (AVG)</th>
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    <tr>
      <th>61</th>
      <td>286.3</td>
      <td>70.783</td>
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      <th>154</th>
      <td>302.6</td>
      <td>70.739</td>
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      <th>185</th>
      <td>293.3</td>
      <td>70.580</td>
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      <th>261</th>
      <td>291.2</td>
      <td>70.545</td>
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      <th>292</th>
      <td>292.0</td>
      <td>71.464</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># I decided to skip cross validation because the population size is so small to begin with.</span>
<span class="c1">#x_train, x_test, y_train, y_test = train_test_split(new_x, new_y, test_size=0.2)</span>
<span class="c1"># Concatenate the variables into one dataframe for easier reference.</span>
<span class="c1">#train_df = pd.concat([x_train, y_train], axis=1)</span>

<span class="n">train_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">new_x</span><span class="p">,</span> <span class="n">new_y</span><span class="p">],</span> <span class="n">axis</span><span class="o">=</span><span class="mi">1</span><span class="p">)</span>

<span class="n">train_df</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
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<table border="1" class="dataframe">
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      <th></th>
      <th>Driving Distance - (AVG.)</th>
      <th>Scoring Average - (AVG)</th>
    </tr>
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      <th>61</th>
      <td>286.3</td>
      <td>70.783</td>
    </tr>
    <tr>
      <th>154</th>
      <td>302.6</td>
      <td>70.739</td>
    </tr>
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      <th>185</th>
      <td>293.3</td>
      <td>70.580</td>
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      <th>261</th>
      <td>291.2</td>
      <td>70.545</td>
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      <th>292</th>
      <td>292.0</td>
      <td>71.464</td>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Generate an Ordinary Least Squares regression model.</span>

<span class="n">X</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">add_constant</span><span class="p">(</span><span class="n">new_x</span><span class="p">)</span>
<span class="n">Y</span> <span class="o">=</span> <span class="n">new_y</span>

<span class="n">ols_model</span> <span class="o">=</span> <span class="n">sm</span><span class="o">.</span><span class="n">OLS</span><span class="p">(</span><span class="n">Y</span><span class="p">,</span> <span class="n">X</span><span class="p">)</span><span class="o">.</span><span class="n">fit</span><span class="p">()</span>

<span class="nb">print</span><span class="p">(</span><span class="n">ols_model</span><span class="o">.</span><span class="n">summary</span><span class="p">())</span>
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<pre>                               OLS Regression Results                              
===================================================================================
Dep. Variable:     Scoring Average - (AVG)   R-squared:                       0.084
Model:                                 OLS   Adj. R-squared:                  0.079
Method:                      Least Squares   F-statistic:                     16.97
Date:                     Tue, 02 Jun 2020   Prob (F-statistic):           5.70e-05
Time:                             13:19:52   Log-Likelihood:                -186.09
No. Observations:                      188   AIC:                             376.2
Df Residuals:                          186   BIC:                             382.7
Df Model:                                1                                         
Covariance Type:                 nonrobust                                         
=============================================================================================
                                coef    std err          t      P&gt;|t|      [0.025      0.975]
---------------------------------------------------------------------------------------------
const                        77.8675      1.671     46.591      0.000      74.570      81.165
Driving Distance - (AVG.)    -0.0234      0.006     -4.120      0.000      -0.035      -0.012
==============================================================================
Omnibus:                        2.858   Durbin-Watson:                   1.861
Prob(Omnibus):                  0.240   Jarque-Bera (JB):                2.544
Skew:                           0.181   Prob(JB):                        0.280
Kurtosis:                       3.440   Cond. No.                     1.03e+04
==============================================================================

Warnings:
[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.
[2] The condition number is large, 1.03e+04. This might indicate that there are
strong multicollinearity or other numerical problems.
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<p>The adjusted co-efficient of determination is very low, but that was expected. Golf is a complicated sport, there are many different parts of golf that all contribute towards overall performance. This model explains about 7.9% of the variation in scoring average. Although this model could never be used for reliable predicting, it can still be useful. The remainder of the summary looks good, the error distribution seems to be Gaussian.</p>

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<p><a href="http://"></a><a id='OLS_analysis'></a></p>

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<h2 id="OLS-Model-Analysis">OLS Model Analysis<a class="anchor-link" href="#OLS-Model-Analysis">&#182;</a></h2><p><a href="#ToC">Back to Table of Contents</a></p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Set variables for info from the model, to use for analysis.</span>

<span class="c1"># Model fitted values.</span>
<span class="n">ols_model_fitted_y</span> <span class="o">=</span> <span class="n">ols_model</span><span class="o">.</span><span class="n">fittedvalues</span>

<span class="c1"># Model residuals.</span>
<span class="n">ols_model_residuals</span> <span class="o">=</span> <span class="n">ols_model</span><span class="o">.</span><span class="n">resid</span>

<span class="c1"># Normalized residuals.</span>
<span class="n">ols_model_norm_residuals</span> <span class="o">=</span> <span class="n">ols_model</span><span class="o">.</span><span class="n">get_influence</span><span class="p">()</span><span class="o">.</span><span class="n">resid_studentized_internal</span>

<span class="c1"># Absolute squared normalized residuals.</span>
<span class="n">ols_model_norm_residuals_abs_sqrt</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">sqrt</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">abs</span><span class="p">(</span><span class="n">ols_model_norm_residuals</span><span class="p">))</span>

<span class="c1"># Leverage.</span>
<span class="n">ols_model_leverage</span> <span class="o">=</span> <span class="n">ols_model</span><span class="o">.</span><span class="n">get_influence</span><span class="p">()</span><span class="o">.</span><span class="n">hat_matrix_diag</span>
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Regression plot.</span>

<span class="n">plt</span><span class="o">.</span><span class="n">style</span><span class="o">.</span><span class="n">use</span><span class="p">(</span><span class="s1">&#39;seaborn&#39;</span><span class="p">)</span>

<span class="n">fig2</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="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>

<span class="n">ax1</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">new_x</span><span class="p">,</span> <span class="n">new_y</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.7</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">new_x</span><span class="p">,</span> <span class="n">ols_model_fitted_y</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="n">linewidth</span><span class="o">=</span><span class="mi">2</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;Regression&#39;</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="n">independent_var</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="n">dependent_var</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mi">272</span><span class="p">,</span> <span class="mf">69.5</span><span class="p">,</span><span class="s1">&#39;y = -0.0234x + 77.8675&#39;</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">20</span><span class="p">)</span>
</pre></div>

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<pre>Text(272, 69.5, &#39;y = -0.0234x + 77.8675&#39;)</pre>
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<p>There is a clear negative linear relationship between the predictor and response variable.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Residuals density plot</span>

<span class="n">mean</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">mean</span><span class="p">(</span><span class="n">ols_model_residuals</span><span class="p">)</span>
<span class="n">std</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">std</span><span class="p">(</span><span class="n">ols_model_residuals</span><span class="p">)</span>

<span class="n">kde</span> <span class="o">=</span> <span class="n">gaussian_kde</span><span class="p">(</span><span class="n">ols_model_residuals</span><span class="p">)</span>
<span class="n">covf</span> <span class="o">=</span> <span class="n">kde</span><span class="o">.</span><span class="n">covariance_factor</span><span class="p">()</span>
<span class="n">bw</span> <span class="o">=</span> <span class="n">covf</span> <span class="o">*</span> <span class="n">std</span>
     
<span class="n">fig3</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="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>

<span class="n">sns</span><span class="o">.</span><span class="n">distplot</span><span class="p">(</span><span class="n">ols_model_residuals</span><span class="p">,</span> <span class="n">kde_kws</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;bw&#39;</span><span class="p">:</span> <span class="n">bw</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;Residual Density&#39;</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">xaxis</span><span class="o">.</span><span class="n">set_ticks</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="o">-</span><span class="mf">2.604</span><span class="p">,</span> <span class="mf">2.604</span><span class="p">,</span> <span class="mf">0.651</span><span class="p">))</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">text</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mf">0.5</span><span class="p">,</span> <span class="s2">&quot;mean = </span><span class="si">{:.4f}</span><span class="se">\n</span><span class="s2">std = </span><span class="si">{:.4f}</span><span class="s2">&quot;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="n">mean</span><span class="p">,</span> <span class="n">std</span><span class="p">),</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">18</span><span class="p">)</span>
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<pre>Text(1, 0.5, &#39;mean = 0.0000\nstd = 0.6511&#39;)</pre>
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<p>As hinted by the model summary, the distribution of the residuals appears to be normal.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Test if residuals are normally distributed using a test that factors skew and kurtosis.</span>

<span class="n">s</span><span class="p">,</span> <span class="n">pval</span> <span class="o">=</span> <span class="n">stats</span><span class="o">.</span><span class="n">normaltest</span><span class="p">(</span><span class="n">ols_model_residuals</span><span class="p">)</span>

<span class="k">if</span> <span class="n">pval</span> <span class="o">&gt;</span> <span class="mf">0.05</span><span class="p">:</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;There is NOT enough evidence to conclude that the distribution is NOT normally distributed.&#39;</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;There is enough evidence to conclude that the distribution is NOT normally distributed&#39;</span><span class="p">)</span>
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<pre>There is NOT enough evidence to conclude that the distribution is NOT normally distributed.
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Residuals vs Fitted plot.</span>

<span class="n">fig5</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="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>

<span class="n">sns</span><span class="o">.</span><span class="n">residplot</span><span class="p">(</span><span class="n">ols_model_fitted_y</span><span class="p">,</span> <span class="n">train_df</span><span class="p">[</span><span class="n">dependent_var</span><span class="p">],</span> <span class="n">lowess</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax1</span><span class="p">,</span> \
              <span class="n">scatter_kws</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;alpha&#39;</span><span class="p">:</span> <span class="mf">0.6</span><span class="p">},</span> <span class="n">line_kws</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;color&#39;</span><span class="p">:</span> <span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="s1">&#39;lw&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;alpha&#39;</span><span class="p">:</span> <span class="mf">0.5</span><span class="p">})</span>

<span class="n">ols_model_fitted_y</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">&#39;Residuals vs Fitted&#39;</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="s1">&#39;Fitted Values&#39;</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;Residuals&#39;</span><span class="p">)</span>
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<pre>Text(0, 0.5, &#39;Residuals&#39;)</pre>
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<p>The residuals certainly appear homoskedastic, points are uniformly centered around the 0.0 center line.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Normal Q-Q plot.</span>

<span class="n">fig4</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">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>

<span class="n">QQ</span> <span class="o">=</span> <span class="n">ProbPlot</span><span class="p">(</span><span class="n">ols_model_norm_residuals</span><span class="p">)</span>

<span class="n">QQ</span><span class="o">.</span><span class="n">qqplot</span><span class="p">(</span><span class="n">line</span><span class="o">=</span><span class="s1">&#39;45&#39;</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.3</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">color</span><span class="o">=</span><span class="s1">&#39;#4c72b0&#39;</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax1</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;Normal Q-Q&#39;</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="s1">&#39;Theoretical Quantiles&#39;</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;Standardized Residuals&#39;</span><span class="p">)</span>
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<pre>Text(0, 0.5, &#39;Standardized Residuals&#39;)</pre>
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<p>This capitalizes on the normal distribution assumption. Visually, atleast 95% of the residuals are within 2 standard deviations of the mean. There are a few points in the top right that grab my attention. They're at the edge of the distribution and they have larger residual values than the rest. These points should be examined in the proceding plots to determine if they have too much influence on the model.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Scale-Location plot.</span>

<span class="n">fig6</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="mi">1</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">8</span><span class="p">))</span>

<span class="n">sns</span><span class="o">.</span><span class="n">regplot</span><span class="p">(</span><span class="n">ols_model_fitted_y</span><span class="p">,</span> <span class="n">ols_model_norm_residuals_abs_sqrt</span><span class="p">,</span> <span class="n">ci</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> \
            <span class="n">lowess</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">scatter_kws</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;alpha&#39;</span><span class="p">:</span> <span class="mf">0.6</span><span class="p">},</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax1</span><span class="p">,</span> \
            <span class="n">line_kws</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;color&#39;</span><span class="p">:</span> <span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="s1">&#39;lw&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;alpha&#39;</span><span class="p">:</span> <span class="mf">0.5</span><span class="p">})</span>

<span class="n">ax1</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">ols_model_fitted_y</span><span class="p">)</span><span class="o">-</span><span class="mf">0.05</span><span class="p">,</span> <span class="nb">max</span><span class="p">(</span><span class="n">ols_model_fitted_y</span><span class="p">)</span><span class="o">+</span><span class="mf">0.05</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;Scale-Location&#39;</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="s1">&#39;Fitted Values&#39;</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;Standardized Residuals&#39;</span><span class="p">)</span>
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<pre>Text(0, 0.5, &#39;Standardized Residuals&#39;)</pre>
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<p>In this plot, there appears to be possible heteroskedasticity. Perhaps the independent variable data did not have constant variance?</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Use Breush-Pagan Test to check for heteroskedasticity.</span>

<span class="n">test</span> <span class="o">=</span> <span class="n">smd</span><span class="o">.</span><span class="n">het_breuschpagan</span><span class="p">(</span><span class="n">ols_model_residuals</span><span class="p">,</span> <span class="n">ols_model</span><span class="o">.</span><span class="n">model</span><span class="o">.</span><span class="n">exog</span><span class="p">)</span>

<span class="k">if</span> <span class="n">test</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span> <span class="o">&gt;</span> <span class="mf">0.05</span><span class="p">:</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;There is not enough evidence to conclude that there is heteroskedasticity in the data.&#39;</span><span class="p">)</span>
<span class="k">else</span><span class="p">:</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;There is enough evidence to conclude that there is heteroskedasticity in the data.&#39;</span><span class="p">)</span>
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<pre>There is not enough evidence to conclude that there is heteroskedasticity in the data.
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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Residuals vs Leverage plot.</span>

<span class="n">fig7</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">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">8</span><span class="p">))</span>

<span class="n">plt</span><span class="o">.</span><span class="n">scatter</span><span class="p">(</span><span class="n">ols_model_leverage</span><span class="p">,</span> <span class="n">ols_model_norm_residuals</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>

<span class="n">sns</span><span class="o">.</span><span class="n">regplot</span><span class="p">(</span><span class="n">ols_model_leverage</span><span class="p">,</span> <span class="n">ols_model_norm_residuals</span><span class="p">,</span> <span class="n">ax</span><span class="o">=</span><span class="n">ax1</span><span class="p">,</span> \
              <span class="n">scatter</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">ci</span><span class="o">=</span><span class="kc">False</span><span class="p">,</span> <span class="n">lowess</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> \
              <span class="n">line_kws</span><span class="o">=</span><span class="p">{</span><span class="s1">&#39;color&#39;</span><span class="p">:</span> <span class="s1">&#39;red&#39;</span><span class="p">,</span> <span class="s1">&#39;lw&#39;</span><span class="p">:</span> <span class="mi">2</span><span class="p">,</span> <span class="s1">&#39;alpha&#39;</span><span class="p">:</span> <span class="mf">0.5</span><span class="p">})</span>

<span class="n">ax1</span><span class="o">.</span><span class="n">set_xlim</span><span class="p">(</span><span class="nb">min</span><span class="p">(</span><span class="n">ols_model_leverage</span><span class="p">)</span><span class="o">-</span><span class="mf">0.001</span><span class="p">,</span> <span class="nb">max</span><span class="p">(</span><span class="n">ols_model_leverage</span><span class="p">)</span><span class="o">+</span><span class="mf">0.001</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;Residuals vs Leverage&#39;</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="s1">&#39;Leverage&#39;</span><span class="p">)</span>
<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">&#39;Standardized Residuals&#39;</span><span class="p">)</span>
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<pre>Text(0, 0.5, &#39;Standardized Residuals&#39;)</pre>
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CYiIiIiSoOBmYiIiIgoDQZmIiIiIqI0GJiLQNV0eAMRqJo+0UMhIiIiojEyTfQAypkuBN7a042DnV6EIzosZhnTW5w4fk4TZEma6OERERERURZYYS6gt/Z0Y1+7BwKA2SxDANjX7sFbe7onemhERERElCUG5gJRNR0HO72Q5cRKsixLONjp5fQMIiIiokmCgblAgmEN4UjyUByO6AiGtSKPiIiIiIhywcBcIDaLAos5+eG1mGXYLEqRRzSxuPCRqHTx75OIKD0u+isQk2Is8NvX7kmYlqHrAjNbXTAplfFahQsfiUoX/z6JiLJTGaltghw/pwkzW12QAEQiOiQAM1tdOH5O00QPrWi48JGodPHvk4goO6wwF5AsSVg8txkLZzciGNZgsygVU1kGMi98XDi7saKOB1Ep4d8nEVH2+GhYBCZFhrPKXHFPPlz4SFS6+PdJRJS9ykpwVFRc+EhUuvj3SUSUPQZmKpjowkddFwmX67rA9BZnxVXcc8HuBVQo/PskIsoe5zBTQUUXOMavwq+0hY+5YPcCKgb+fRIRZYeBmQqq0hc+5iravUCWpYTuBQCweG7zxA6Oygb/PomIssNHRiqKSl34mAtuq07Fxr9PIqL0+OhIVGLYvYCIiKi0MDATlRh2LyAiIiotDMxEJYbdC4iIiEoLn3mJShC3VSciIiod7JJBVILYvYCIiKh0MDATlTCjewGDMhER0UTiMzERERERURoMzEREREREaTAwExERERGlwcBMRERERJQGAzMRERERURoMzEREREREaTAwExERERGlwcBMRERERJQGAzMRERERURoMzEREREREaTAwExERERGlYZqIO73lllvwxhtvQFVVfP3rX8fnPve5iRgGEREREVFGRQ/Mr776Kvbs2YNHHnkE/f39uPDCCxmYiYiIiKhkFT0wn3jiiVi4cCEAoKamBoFAAJqmQVGUYg+FiIiIiCijos9hVhQFdrsdALBhwwacccYZDMtEREREVLIkIYSYiDveunUr1q9fj/vuuw8ulyvl9VRVg8nEQE1EREREE2NCFv29+OKLuOeee/CrX/0qbVgGgP5+f1a32dTkQne3Jx/DqyjlctxUTUcwrMFmUWBSinPipFyOXbHxuOWGxy03PG6547HLDY9bbkrhuDU1pc6kRQ/MHo8Ht9xyC+6//37U1tYW++6pzOhC4K093TjY6UU4osNiljG9xYnj5zRBlqSJHh4RERGVgaIH5r/+9a/o7+/Ht771rdhl69atw9SpU4s9FCoDb+3pxr52D2RZgtksQwDY1268Ql08t3liB0dERERloeiB+Utf+hK+9KUvFftuqQypmo6DnV7IcmIlWZYlHOz0YuHsxqJNzyAiIqLyxTRBk1YwrCEc0ZN+Lhwx5jQTERERjRcDM01aNosCizn5r7DFLMNmYXcVIiIiGj8GZpq0TIqxwE/XEzsj6rrA9BYnp2MQERFRXjBR0KR2/JwmzGx1QQIQieiQAMxsdeH4OU0TPTQiIiIqExPSh7kUTETfXso/WZKweG4zFs5uLOmfJ3/fiIiIJq+KC8zs21ueTIoMZ1XpBVH+vhEREU1+pZcwCizat1cACX1739rTPdFDozLE3zciIqLJr6ICc6a+vaqWvEUZUS74+0ZERFQeKiows29vdlRNhzcQYaAbJ/6+ERERlYeKmsMc7dsrknyOfXs53zbf+PtGRERUHiqqwsy+velxvm1+8feNiIioPFTcMzb79ibH+baFwd83IiKiya+ipmQAk6dvb7FE5ytrmo5wRIc5yVbT0fm2pdi2rdTx942IiGjyq7jAHFWqfXuLJTpfudcbwcBAACZFQo8ngCn1Doycrcz5tuNX6b9vREREk1nZP4Oz40Ny0fnKgDFfWZIl6LrA4R5vwvU435aIiIgqXdlWmNnxIbVU85WnNjjQ2euHLgQ0VcBiljnfloiIiCpe2QbmaAVVlqWEjg8AsHhu88QOboJF+wOPnK8sSRIaaqqwfPE0KIrM+bZEREREKNMpGez4kF60P3AyFrMMR5UZziozw3KRcfoQERFRaSrLCnOqCirAjg/AcH/gaMU9StcFZra6GJSLjNOHiIiISltZBubJsMOaqukT2mYsOi+51xtBZCikcb7yxOD0ISIiotJWloE5voIaPy2jFCqopVJNjPYHrqt34OChAc5XniCZpg8tnN3InwsREdEEK9tn4lLdYa3Utp82+gNzvvJEiU4fSiY6fYiIiIgmVllWmIHhCur8mfUY9IVR47DAZpnYb5fVRBppMkwfIiIiqnRlG5hLZepDPC5GpJFKefoQERERGcr22bjUpj4Amdu5sZpYmUp1+hAREdFkUsj2rGVZYS7VqQ+sJlIy0elDC2c3TmjnFCIiosmoGLMKyvJZuZQXUrGaSKlwASYREdHYFWNWQVlWmEt5IRWriURERET5UaxZBWWZ1KJTH3Q9MTLrusD0FmdJBFRWE6mUcFtuIiKajIo1q6AsK8zA8E528fNZOPWBKFEpdpMhIiLKVrFmFZRtYObUB6LMuC03ERFNZsVqqFD2CXKipj7wFDeVukzzvvi7S0REk0ExGiqUbYV5ovAUN00W3EiHiIjKQTFmFTAw5xlPcdNkUcrdZIiIiMbKmFVQmEIPy0d5xFPcNJlMhm4yREREpYDPiHlUyhumECXDjXSIiIgy45SMPOIp7tKlajq7pSTBbjJERESZMTDnUbFam1D2uAgzO4Wc90VERDTZ8Rkyz3iKu7QUY395IiIiKm8VVWEuxml5nuIuHcXaX56IiIjKW0UE5ok4Lc9T3BOPfYaJiIgoHyoiLfC0fGWKLsJMhoswiYiIKFtjDsy6Prl6CbM3cuVin2EiIiLKh4yJ4bHHHsNDDz0EVVVx0UUXYfny5fjd735XjLHlBXsjVzYuwiQiIqLxyjiH+ZFHHsEDDzyArVu3Ys6cOXjooYfwla98BRdffHExxjdu7I08+eRzcSYXYRIREdF4ZQzMVqsVFosFzz//PFatWgVZnnxho7G2Cu29voSgxN7IEyNdGC7k4kwuwiQiIqJcZdUl46abbsKbb76Jm2++GTt27EA4HC70uMYtPnyFwhr63EEIGWhw2WA1KzwtX2TZhOHo4kxZlhIWZwLA4rnNEzh6IiIiqmQZS27/9V//hRkzZuDuu++Goig4dOgQbrrppmKMbVziO2NYLAqmNDrQVF2Fac0OnHfqTCye28yd3oooU6cSLs4kIiKiUpWywvzKK6/EPp43bx46OzvR2dmJhoYG9Pf3F2VwuUoVvkwmGd39wQkaVeXKZgMR9kwmIiKiUpUyMP/yl79M+UWSJOGUU04pyIDyIRq+FEWCqukwKXIsrDF8FV82YZiLM4mIiKhUpQzMDzzwQMov2rx5c0EGky8Ws4zewQAG/GFomoCiSKixWzClwc7wNQGyCcPRnsnROcxRXJxJND757DpDRFSpMi76O3z4MB588MHYNIxwOIzXXnsNK1asKPjgcrXr415oEBACUBQjfA34QtAhcMqxU/ikUWTZhuHoIsz4hYGltjgzPnwQlbJCdp0hIqo0GQPzddddhzPOOAPPPvssLr30Ujz99NO45ZZbijG2nETny05tdEKWfHD7hqvMsixhwZENEz3EipRNGC7lnsnJwseCOc2Y1eJg+KCSxK4zxcMqPlH5yxiYFUXBVVddhRdffBGXXHIJVq9ejW9/+9s49dRTizG+MYufL9va4EBLvR2qJmBSJGiqMMKOidXBYhtLGC7FnsnJwsfeTwYw6PYzfFDJyWahLYPd+LGKT1Q5Mj5ihkIhdHR0QJIkHDx4EJIk4dChQ8UYW06i82WjZEmCxSQb7zl/ecIZYdg8qZ6s2fKOJpto4SCZ6EJbGr9M7TKJqHxkTC1f+9rXsG3bNlxxxRW44IILcNJJJ2HRokXFGFtOovNldT1xiZmuC0xvcU6qoEalgeGDJpuRhYN4LBzkB19IE1WWjFMyzj777NjH27dvh8/nQ01Nzbju9MMPP8TVV1+Nyy67DJdeeum4biuZybB4jCYPtryjyYZdZwqPveOJKkvGwPyd73wHUpK5WLku/PP7/fjRj35U0D7OpbJ4jAtBykO68MGzFlSqWDgoLL6QJqosGQNz/OK+SCSC1157DdOmTcv5Di0WC+69917ce++9Od9GtiZq8RgXgpSfZOHjqGm1mNXiSPk1fMFEE6lUCgflilV8osoiCSGSvUBO6+tf/zrWr18/rju+6667UFdXl3FKhqpqMJVYVwtV0xEIqaiympI+KL76Tjv2fjIw6kH0qGm1OPnTreO+fZo42fxsdF1g+7sd+PjwIEJhDVaLgiOn1mDJsVNGzXckosmLf+tElSNjhVnXExcutLe3Y9++fYUazyj9/f6srtfU5EJ3t6egY8mmcqxqOnbt6Up6mm7Xni7MaLKnDloTUJkuxnErR0FfKOWxe/PDroSqkxpRsXN3J1vQDeHvXG543HJT6OM2e4oTM5rsCVX83l5vwe6vmPg7lxset9yUwnFranKl/FzGwDx//nxIkoRoIdrlcuHKK6/M3+gm2FhOm2ezEcB4FoJwo4HJj/1viSpPKfaOJ6L8yhiYP/jgg2KMo+jGWs3NNgjluhCEQas8cOU8ERFR+UkZmH/+85+n/cJ/+Zd/yekOd+3ahXXr1uHQoUMwmUzYvHkz7rrrLtTW1uZ0e7kaazU32yCU60IQBq3ywJXzxMWeRETlJ2VgVlUVALB//37s378fn/nMZ6DrOrZv34758+fnfIcLFizAAw88kPPX50Mu1dyxBKFc2jkxaJUHrpyvXOyOQ0RUvlIG5m9961ux9xs2bICiGIEtEongmmuuKc7oCiSXau5YglAu7ZzKNWhVYrWN/W8rE9cgEBGVr4xzmPfv34/4znOSJOHw4cMFHVShRMObSZFyquamCkILjmyANxAZFQrHuhCknIJWJVfb2P+28nANAhFRecsYmM844wysWLECxx57LGRZxnvvvYfly5cXY2x5kyy8RVQNkixDkSXoQkDVBGQJOHJqdcontpFByGKWsevjXmx8ZX9eQmE5BS1W27hyvpJwDQIRUXnLGJivueYaXHjhhfjwww8hhMA3v/lNzJ49uxhjy5tk4U2SJOi6jq6BIPoHQxAAGlxWzGp1QRciZaeMaJB1VpkT+u3mMxRO9qDFahtVGq5BICIqbykD8/PPP4+lS5fi0UcfTbh8x44d2LFjB1avXl3wweVDsvCm6wKaLtDtDqDJVYUGlw0mRYYsS9jf4YU0VOmNXT9JhXpqowOHuhkKk2G1jSpNua5BICIiQ8rAvHv3bixduhRvvPFG0s9PlsAcH96EEOjo9WPQH4aq6eh3h6BPEZjW7IQ0VFFOFniTVag/OuxGd78f01tcsSkdJkWCLEkIR3T4AhEoQ32ZUz1ZluuCOFbbqBKV0xoEIiJKlDIwX3XVVQCAn/zkJxBCQJIkhMNh9Pb2orW1tWgDHK/48NbR68eALwRJkmIB2ROIoKPXj9ZGR+xr4qugqaYXWMwyfCEVh3q88Poj0DQBRZHgspsBSHj6zU+gqSLpvOZyXxDHahtVonJag0BERIkyPpqvX78eDz74IILBID7/+c/j3/7t33DnnXcWY2x5EQ1vqqpj0B+OBWUJQJXVBFmWMOgPQ9eH66HxVdBohXokWZIQiWjocxvzn2VFggDwSbcP/Z4gZClxXvNbe7pjXxutWAsg5XUmu+PnNGFmqwsSgEhEhwSw2kYVwViDYGZYJiIqIxkf0Z999llceuml2LhxI8466yz84Q9/SDlNo1QdP6cJU5vs0DUBXROQANS5rDiiyQEhAE0TUDUjFOu6wPQWZ+zJLlqhHkkXAmazgnqXFYBxG0IIyJCgyDL0uFZ80WkeqqZnXBAXHcdkF622nXfqTKw8ZQbOO3UmFs9tLosKOhEREVWWjF0yTCYTJEnCCy+8gC9/+csAAF2fXKFOliQsOWYKOvoCCXONo5HW7QtD6EhaBU01vSAc0eGwmnBEkxO6bgRuXRf46LB76P8CFlPi9YNhLfZxpSyIm+wdP4iIiIgyBmaXy4WrrroKHR0dWLRoEZ599tnYtIbJxKTImDnFZQTfuGkZLXV2fGZeM46ZWZ9yzmGyxTyzp1bDNhR6ZVmCRVag68Y8Zr+o+VkAACAASURBVAmASRk95zk6zYML4oiIiIgmj4yB+bbbbsO2bduwePFiAIDFYsG6desKPrB8GNmFIt0q9nRTBUYu5jEpElRNABISplfIcnTRHxJub+Rit2wWxJVrBw0iIiKiySarKRkdHR247777cO2118LpdKKhoaEYY8tZui4U41nFLssSPjzYH7tdk1mGruuQJRmRoY4YJ89vASDhk67UraXSBfdy76BBRERENNlkDMw33XQTnE4n3nzzTQDAu+++i/vvvx+33357wQeXq0zbMuc6r3bk7QKALMs4osk5akrHcUelDuXp2k8VavdAIiIiIspNxtR46NAhXH/99bDZbACAiy++GF1dXQUfWK6y7UKhajq8gUjWXSnS3e7hHt+oYJxNa6mR16mUDhpEREREk0nGCrOqqgAQW+jn9/sRDAYLO6pxiN/ZL9q9IrrtdTiiwx9SsfeTARzs9CIY0iDLwMyp1ThhXvqWZ8XY7plbShMRERGVnoyBua2tDV/5ylfwySef4Oabb8YLL7yAiy++uBhjy4nNosBsktDe48OgPxzbga/GbkFrgx27D/TjQIcHXf2B2Of3HnZjf7sbXzjzqJShOX7HwJFbYeeruwW3lCYiIiIqPRkD86WXXoqFCxdi+/btsFgs+NnPfoYFCxYUY2w5MSnGdtb93hCM7CsgBNDvDaG+xobD3T509QdiW2QrQ+3f9h4axBsfdOHEY1pS3u60Zidefa8jthW2LEuw2xScNL81L50suKU0ERERUelJG5jdbjcOHDiAOXPmYOHChbHLd+7cieOOO67gg8uFqumQFaNK2+cOQtcAWQHqXDYIIeAPqAlbZEfpOvD3DjcWzW1KE0xF7F9PIIKIpsHslfHGh50wm6S8dLJI10GDiIiIiIovZWB+6qmncNNNN6GpqQnd3d245557MHfuXNx+++3YunUrnnrqqWKOM2vBsIZDXV7IEtBQXQVdiKEQK9DVF0BDjTU2TSOeokgQOlLOE1Y1HZ90+XBEoxOHuo0FeIpshiRJ8Pgi+PiwG8D4O1mk66BBRERERMWXMjD/7//+L5544gk0NDRg165d+OEPf4hQKITPfvazeOKJJ4o5xjExKRL8ITVWQVZiFV8JgbCKWVObcaDLl/A1QgA1TgtsFiXlPOHogjxFkeAJRKDIshHGYUyZ0IVRFV44uzFv0zO4wI9o4nETISIiShmYzWZzbIOSBQsWIBgMYt26dfj0pz9dtMHlQtUE7DYzvIEIollZCEDTBartZiw4sgGHu73Ye2gQum5UlmucFjTX2TG9xZnyCTG6IC8Y0TDoC0NVdei6MY/ZalGgDHXhYCcLovybiNDKTYSIiCgqZWAeOce3oaGh5MMyYATbac1OdPT6MOgLw+0LI6LqMCsyTIqE3Qf68fmls7Fjdzf+3uGG0I2viT4RphJdkLdtVztCYRWQJEgSIISAEAJd/X5MbXCwk0UBsMJXuSYytGbaAImIiCpHysAcDYJCiFGXAcYOd6XIpMiY0eKE0I3uGKqqQ7HLAARq7BYc7PRCkSWceEwLFs1tGlMQmz+rHptePYCIJqBGVEiyjCqLAqfNjEFvCJ+Z18xAl0es8NFEhdZMmwjla+oVERFNDikD8+uvv4758+fH/i+EwPz58yGEgCRJeP/994sywFwcP6cJ4YiOD/b3AQAkCaixWzGlwQ5JSnzCG8v0iTc+6IYQAlPr7fD4IwirOnRdhzcYwZQ6O+bNqCvUt1SRWOGrbBMZWrmJEBERxUsZmD/44INijiNvolXJA10eRDQBkyLDZTfHwjKQ2xOequno7PfDZDKCW7XTAiEQm8c8rckJuzVjW2vKEit82SvXKSsTGVq5iRAREcUru4QXrUqaFONJTQBw+8KQIaG10QEgtye8YFiDpgpUOywY8IYhSUblWlEkqKqOloaqsgorE40VvszKfcrKRIZWbiJERETxyupRP74qKUsSqh1GFViSJAz6w0b7N12k7YaRSvTJe0qDA7VOCyQAuiYgAWioteEzRyffIZByEz3eybDCZ4i+OBRAwpSVt/Z0T/TQ8iIaWnU9MTLn+jc8VsfPacLMVhckAJGIDgngJkJERBWqrCrMI6uSUxqMirLbF0YookPTdMyeVpPTE158xam1wYGWejtUTUCWgCOnVsNiYoDLJ1b40quUKSsTufMlNxEiIqKolIH58ccfT/uFn//85/M+mPEaeQpXAuLCrY7zT5sFmyX31wjxT96aKmCNOwVO+cdtwlOrlCkrpRBauYkQERGlTI8vv/wyAKC/vx8ffPABjjvuOGiahrfffhuLFi0qycCcqioJARx1RM24wjIw/ifvkYuzynWxVjK5fK+lEJZKVaUtSmNoJSKiiZQyQd56660AgGuvvRZPPfUUqqqqAABerxc33HBDcUaXg2JUJY0FhRgKccgY4kYuzjKbJKiaDsWkQC3QYq1ChvGx3HY+FqYxLI3GKStERETFk7HkeuDAgVhYBgCn04nDhw8XdFDjEV+V9AUiAABHlTlvQTSXADiyn3B7jw/93hDqXFa0NjhS9hfOJfQWsnNCPr73sfRSrqQKfC44ZYWIiKg4Mgbm2bNnY82aNVi0aBFkWcbOnTsxY8aMYowtZ7oQePujnoKExrEGwJGLs3RdYNAfhixLcPvCaKm3Q5akhMVasizhrT3d2N/ugT+kwm41YcZQEMo0/kJu9jHe7z0q08K0cm+Xli+cskJERFQcGQPzT37yE7z88sv48MMPIYTAlVdeidNPP70YY8tZoUJjLgFw5OIsVdOhaQKKIkHTBFRNwGJK3FBl94E+vPpeJzz+CFRNhyRJONTrhRACJ8xL3b6ukJ0T8vG9x0u3MI07/I0Np6wQEREVVlbPspFIBGazGZdffjlmzZoV2zGvFGUKdqqm53zb0QCYTDQAjjSyn7BJkaEoxtgURYJJGR6nxSzDpEh4/b0uuH1heP0RDHrD6BsMYl+7B5u2H0RYHX0f4xlftvLxvcdLtTCtkD8/Mo6vNxDhcSQiIhqDjIH51ltvxaOPPorHHnsMAPDkk0/i5ptvLvjAchUf7HQhEFZ16MLoJTDe0JjrZhpNdTaoqjEmWZZQY7dA141dA6NTDKKbMYTCGno9IfgCKoJhDQKAJBvbCvYNBLD9vY68jy8budx2LhtPFDL0VzJdCLz5YRf+sm0fNr6yH3/Ztg9vftgV+9sgIiKi1DIG5nfeeQc///nP4XAYm4B84xvfwLvvvlvwgeXKZlFgMsto7/Vhz8EB7D04gD0HB9De64NpnKFxLAEwPqB80uVDtzuAjh4fwmENrQ12zJ1WgykNjqQ7iAkIhCKa0Ug6niThUJcvZXWwkDuj5XrbY90tjTv8FUa57wpIRERUSBnnMIuhClR0GoamadC00q3ymRQZmqqh3xMytshWJAgA/Z4QmmpsWYXGdN0Zsu1MED8P12JW0FrvgKrpaG1w4KT5LSn7MDuqzKhxWNHvDhmV5SghUGUxAZDgC0SgKPK4xpeLXG57rAvT2C4t/yplV0AiIqJCyRiYFy9ejOuvvx5dXV349a9/jaeeegpLliwpxthyomo6TIqMOqcVg/5wbIFdndMaC6mpwkE23RmyCYCpAopJkdEzEEj4/8jFWiZFxpJjWtDR60NI1SF0AUmWYDUraG2qQr8niKff/ASaKnIeX67Gc9tjWZjGdmn5VSm7AhIRERVKxsB8zTXXYNOmTbDZbOjo6MBll12Gz33uc8UYW06CYQ0RVaC10YEW3R4LyLIsIZIhHIylO0O6ADjegHLiMc042OnGh58MQtV0mE0Kah0WaEKHJgmjDZ1Zynl841Xorgxsl5ZflbYrIBERUb5lDMxvv/022tra0NbWFrts48aNWLlyZUEHlqv4cCDLEizycBhIFw7yedp6vAFFliR84cyj8MbuLuw77IauG1/XMeDHlHrHuMc3WbBdWn5wmgsREdH4ZHymvPjii3HdddchFArFLvv9739f0EGNR66L0/LZXSMfi+9kScKJR7fgwqWzcd5pM7HshGlodFWNWgeYy/jGiq3IJr+xLr4kIiKiYRkrzIsWLcJxxx2HSy65BLfffjumT58eWwhYqnKZAxvfXcPtG577XO2wYEqDY8ynrfM1DzdaZVU1vein1bnjXvngNBcaD25TT0SVLmNgliQJl1xyCebPn4+rr74a1157bUlvXALkFg7y0V1jvGPINL5in1bnjnvlh9NcaCz4opmIJg0hAE0DTBmjbU6ybiu3aNEi/PrXv8Y111yD9957ryCDmUjj6a6RTj4DSr6q1vHVonTXYSsyGgtWIcsPXzQTUVHoOhAIQBocAEJhSKEgpHAICIYghUOQQiEgFEp+WSgIhMPG/wGEl50N9YQT8z7EjIH5lltuiX3c2NiI+++/H5s3b877QPIpl6rIeLprFEu6qnU2YSXZcVkwpxmzWhyjjgtbkVG2WIUsT3zRTERZ0bRYmB0OscNhVgqHgeDQ+3AIUjDxsmjghcOKKl8o8/2lIWw2iCp7nr6xRCkD8/r16/H1r38dP/vZz5JOwTj33HMLMqB8iK+KKIqEUETD3k8GEQhpsU1DRsq1u8ZEiK9ajyWsJKsW7f1kAINu/6hqEVuRUbZYhSxPfNFMVAFUNWmwlULBxOA78rJwCNJQpReRyPjHIUmA1QqhWCEsVsBmg7BYIKxW4/KEy2zGZdHLrRZETBYEJRNsNnPBXsinDMzz588HAJx66qkFueNCiVZFJAlo7/Fh0B/GoC+MiKrBvKcHnb0+zJxaPSpQTtbWW9mGlbFWiybr8aDiYhWyfPFFM1EJEwKIRIzAGkoMs/HTFhKCbUIYHnqfj52bJWkoxBphNiHkRi+zWAGbNeF9wmVWKxzN1Qh0e8Z018NFw/6Cn+FMGZhnz56Nw4cP46STTsrrHRZatCrSMxjAgC8EX0BFJKIDkoRQWMWhHp/xSgajq1+TbYe5sYSVXKpFk+14UPGxClm++KKZqECEMObcJszHjQux8XN4Q8NTFoypDHFhWM9Dq1dFSQyxCRXd6GVxYdhiGar0DodhmM2xXFVsxTzDmTIwX3TRRZAkCUIIdHV1weVyQVVVBAIBTJ8+HVu2bMnrQPLFmMMrYdAfBmBMx4g2L5YVGd6gCgBJq1+TrfXWyLCi6yI291rTREJYyaVaNNmOBxUfq5DljS+aiUbQ9aEFZsHUi9OqFFi6+tMvTstHe16TaaiiawFGhNnkl1lHTGWwGh0lJulak2Kf4UwZmJ9//nkAwE9/+lOsWrUqNkVj586dePLJJ/M2gHwzKTJaGqrw7r4+SLIEXReQZAkQAjaLKRYqNU1KWf3KtbNFsbsERMOKLgQ6ev0J3T1q7RZYzNlNsci0mQpbkVEqrEKWN75oprKSr8VpmTisMGVavGaxjA6xViuQLNja4oOvJXYZlMouSBT7DGfGLhm7d++OhWUAOO6443D77bfnbQCF8JmjW7Dzo14MeIZ/sW0WE5xVZkAynuQVWcpb9WuiugREw8or73bA7QtDkoxFjkIAGgR2fdybcEoiWbXoqGm1mNXiSHUXRBmxCln++KKZJlwJLU4TFkuKhWhDYXZKPcJ+dfTitLj5upD59zRexT7DmTEwq6qK2267DSeccAIkScKOHTsStskuRRaTgpOOacHHh91wVpng8Ucgy8b0klq7FQCy3qI6XqoK8kR2CVhwZANee78TsiTFqss1TmN3wpGnJJJVi1qn1KB7jJPsaZIRAvD7Ifl8kPw+SIEAoKqQdM14EtJ0SJpqnGqUZQjFBCiycbpPVowqhsm4zPiccVn0Y8Wk4IRWG45rrUJAl2Fz2GAyVXblg4iGCGE83iTM0S3BxWnJFqKNnMMbDbuZCmFNLqh8Xi24Yp/hzBiY77jjDvz2t7/Fww8/DMBYDHjHHXfkdRCFEK1uKYqMT7q88AcjcNjMaG2w41NTxlb9SldB1nUxoV0CwhEdja4qtNTZoWoCJkWKVbVTnZJgtagMCGE86fh8kHze4ffRYBy7zAjJeVkckgUXYITu+NXRVqtx+nHoSQfNdTAF9OEnoBQrplmBmTy4aU2Zij7OlPLitLgwm3JxWvRxZQIXp1FhFPMMZ8bA/Pzzz+Oaa67J2x3++Mc/xs6dOyFJEr73ve9h4cKFebvteLIkYeHsRsxscSEY0VDjsEBASvqAnunBPl0Fee60Wmi+AKxQoagRKJFw7E0PhiDQDrOsG5U8XYdwOKEuWmz84eZB/CkJiynxgYCLriaRaIugYMCoAAcCxpNOwD8cfGOB2AjDUNXsb95WBeFwGG92OxCtFJsUo4psMhkBVdeHq89a9PdWg6SqRoVH0yANvY99TtMAdehzaiT2fSAYgITB0YNxWGHJpjl9bI7f0OIVqxXC6YJwOiFcrtjHutMFOBx8IpwA3LRmEhDCeDzx+40zTH6/8biSxc5pMAF2b3D8Y0i7OC1a5U2zOC06X5e/UzRCMddZZAzMW7ZswTnnnAOXyzXuO9u+fTv279+PRx55BHv37sX111+PDRs2jPt2R9KFwI4Pu/D6e13o9YQgAairsWLJ0S1YNLcp4XqjHuyb7Fh0hB2K1wvJ44HudkN9/WPMCAVhCgehhEIwhYMwhQIwRcKob67CiYcGk86hkQC4empHPXGY3tuF0Oe/AFFbN+7vlYuusiAEEA2dAT+kQGB4akI4bExHUI0AKKkRIwhKkhEgZRlClgFJNh6wZRmQhz5X54TZHYxdL3Z9aejj6LHX9OHbVVVIkQikgN847ej3G8E4GBhTAAZgBEqHA8LhHA7D8R/bh9/DlPFPPX+SLayJzTkMwWE3IdLRl1CVksLh0avIw2HjtKw3i/uUZeN7dw0FaqcTurM69rFwuiBcLqNyTXnDTWsmQLTqGw2/0SA89Lg2PP3KHwvHOXdkcFhTL06LBt90i9OG5vBW+uI0KrxinDnP+CwaCoWwbNkyzJo1C+a4quhDDz005jt75ZVXcPbZZwMAjjrqKLjdbni9XjidzjHfVjpv7enGq+91wu0LQ1GMEDngCePV9zogQWDxNCf03l68t2Mvggc6MSPggdXngTnghcnvg9thRmuDsRAurOpoPjgAeeh2hDCCtixJELqALqrgrHOiJyAgLBZoZgs0kwWqyYyG5mpos5qhWYzWLUKSIe/cAf1wOyy/+TXU81dBO/KohLHncmqz4hddaRqkwQHIA/2Q3G7jzeOB5HFDdg9C8njyM/9tJIcV5nFu45nAZIKosg9t7VkFVFUlVoZHhGFYLPm773xSFMBuh7Dbk76QRJMLkUzz++L7lEZDdTAAyes13jweSF7P8McBPySPG5LHnf52LRbormqI6mqI6hqI6mroQ+9FdTWE08Un9yxx05o8iZ5dGhGA4Q/EXTYiAI/x8cx4HLEbjxt2O0RV1fCCtGQ7pw1NYXBMa4S/11egb5xocskYmP/5n/951GXJtsrORk9PD4499tjY/xsaGtDd3Z3XwKxqOva3e+DxhVE30A273228+Txw+AdR+3wEAxYJg74wQgMB2GQJFrMCx1AHDQDoVRU0NbVAqqmGsDvQVetGxGpDR0CgX1UQUszQbFWw1TkxddVxqDGb8PckpyWPmNOEyNCxilazD8+uwRGdT6Nxz35U/8/9qF/VBu2U06ADOZ/arJjWT0JAcg9C7uiA3NEOubsLcn8fpMHBjHPkRJU9Nh1B2O1GGK2yG08OJmNKglBMxlSZ6LHThXG7cW+SGP7YUVOFcI8n4bJk143dbuw+4oOxHagaep+naTplIbpNqtUKuJA8eMdTVWOqimcoRHs9wx/7vJA9bkheLxAOQ+7tAXp7Ut6vcLqGgvRwqBbV1dBdxsew2fL93U5K3LQmg3B4xO+hL0kANt6P9eySsFqHXpQ6jPBrH35si31cZQccQ+9zfRHIdQREMRkD85IlS+Dz+TA4aMxFDIfDuPbaa/Hoo4+O+c7EiNNCQoiM4buuzp71ivumJhc8/jCELGPOx2/jqI92JnxeFwIBs4yBWhfCzVPQ5ZQRctbAb3fB0tSAxhlToNodCGoS5i+fA5fdAlXTUbXjE+zc1Q63NxwbrxACDrsVB/tCOPnT9VjRXA1V0xEIqaiymkYF1lffaUe3OwxrXTV6zv08pF1/g/LWa7Bt2opp/gFsn70E3e4w7A4r7ENf0+0O4++dPpz86dasvv9cNTWNf7pN3gkBuN3A4cPGW3u78d7vH31duwWoqQHq64338W/V1cb7AoXR8U+qqUyF+Z3L8NMQAggGgcHB1G8eD6CHgIFu4y0Zq9X4naqtHf37VlMDuFwFCxql9Ldap+more1K+fnpR9SWzAv3vB63ZL9Hbrfx5vEMv2XbTcqqGFMfnE7Abjfm4498G3l5EadYldLv3GTC45abUj5uGf/q7r33Xqxfvx7hcBh2ux2hUAjnn39+TnfW0tKCnp7hyk5XVxcaGxvTfk1/f5KAlERTkwvd3R6omg5J19Fb04ie2mYErVXw26vht7sQqKqGz+HCrCOnALKEPQcHEipXMqyQgxokAO5BP7btOIiDnV4Egir2Hx6EEBIsFhkWs4JauwX1Tgt27enCEfU2qJqIVXaDI07Tq5qOXXu6Eu7Ld+RC9FXVYtarT8P1+lsQm/8G84lnwt36qYSv3bWnCzOa7AV74oketwklBCSvZ7hy3NkBuaPDOC058qpVduhTpkCf0gq9ZQr0unqIurrUTyACwEAQQB4WroxQEsduEprw46Y4gHoHUD919Oc0zZjaMTS1R459PGj83z0I+NxAnxvAweS3H51P7XQmzqF2OqE7hj9GVdWYFjFN+HFLosFpTrl+or+vNE7lj/m4RSKx34HYz9/jMX4HPG7Ibnd2/XxNJuNn7hqaS+9wQNidsapvfEU46+4NYQDhQPbfyziV4u/cZMDjlptSOG7pAnvGwLx582Zs27YNV1xxBR544AE8/fTTOHz4cE4DOe2003DXXXdhzZo1eO+999Dc3Jz3+csmRcaMVhcO983E9gbjCVHXjUq2s8oECyTIirE7nt023KNZ04a2lYYx/3fXx72xJwJJkaAJIByOQNMUWE0yIBlZ7ECXF0++9HcAUsppFKlOXbpbP4V3zrwQUzvfhHzgAxz1wl/QfdSxOLTwFOhDFdFindosZluopOHYN3pll7BVDYfjKa3QW1ogqmu4UpoKR1EgautiC3JHzRQd6jgwMkhLHjfkwaGPfd7s5lMPBSrhdEGPBmuHa1TILuWFipNu/YSuGz8fd9yLIq874f9SIHORRlitENG58EPv9WgHl+jPzWbjYxVRGckYmB0OBywWCyJDr6iXL1+Oyy67DGvXrh3znS1evBjHHnss1qxZA0mScOONN459xFkw+iPr2LL9E/S6gxACsFeZcOTUGigycLDLA18gAk0HAmEVEECV1QTzUNhecGQDNr6yP1Y16RkMIBzRIMkyVCEgIGHAG0a/J2TsrtfoMDZGQfIV4ul2oxF1tRCf+zI6xJNo3fU6mva+i+rOQ9h30jL4GloK3hpO1wXe/LCrMG2hhDDmjw6F4lg49o5+BSlsNqNiHB+Oa2r5hEOlRZIAux263Q60TEl+neh86ugCxejixPiPfV6jO8rAAKSBAaR9iWqxQHc6gdYmWHTTqEAd/Xgi5sCX1PqJoakSw5XhoQW/UgS2TzqN/3u9mXsCKwqEy2UsBh2az54wj93l4jx2ogqUMTDX1NTgT3/6E+bOnYvrr78e06ZNQ1dX6nlrmVx77bU5f222ZEmCLMuY+6laaJoRU00mGR19Phzq9iEY0iArgNWswFlljp1CPP+zs2BSZHgDkVhFWBcCXn8ENouCYFgDhBEyZVlCnzuIWVOrE05HJlshnqn1m81mgeXM0/Fe8zQc+fozqBrsw9ynH0f70YtgWbY06yegXKrE29/tGH9bqEgEUn8/5L5eYxFeby/kvl5I/X1Ge7ARhM0GvbklMRzX1jEcU3kwmSBqao0XfOmEw8PBOn6x4tBl8lC4RjgMua8PCPlgStOVRdiqUobp2McOZ0G6gBS0pZOqGovjUvQjl3w+wO+DPHSsRnFYIccdN+FwDlWGXcbCTlfc4k6XyzhGfCwiohEyBuZ169aht7cX55xzDn7zm9+gp6cHP/vZz4oxtpzFtzvSBWBSJHT2+THoDSMc0VBlVRBSdQSCxsrkaY1OOKzDhyK+IqxqApom4KwyqjehiAYhBHQBKLKMxurRlYZk0ygynbo8fk4T3gKwu/aLaN7xGqZ+/A6OOfAOmrf7EW48H6Ip9SnOVJsHLDiyAeGInjJAq5qOjw8PZtcWamh7Zbm3xwjDfb2Qo8HY7U7Z51PYqqA3Nw9Xj1taIOrq+YREZLFAWOqNv4dUoj13vV44rAKh/R1GmPYlqVoHA0Y/754UixWjN2l3pA7WQ51bhM1mzLEuVJcETYvblCcx+CYEY58PUjD79QfJpkpgRiuCqlE1Fq7q4vYkL0HclZEoNykfOeLnKcuyjP7+fqxataoogxovf0jFgaHtsDXNqAZ7gxFUWUzQdMBqNcFRJUEIIxy21NsRUUUs5MZXhE2KBEUxpls4q8yY2uBAU20VZFnCR4cGYU7SwSPZNIpMpy4TPn/SLDg6Pwv75r9C6uxA1W/vQ/i0M6AuOSnpE9jIzQN0IfDKux147f1ONLqq0s6tDoVH9/OUNA2mnh6IVztg8QxA7u2B1NtrPBknI8vQ6+og6hug1zdA1NdDr2+AXldvrO5mOCbKjSQZm0DYbECTC5orxQvn6G5uHk/yMB1983mHWpn5gK7OjHcvbDbj/qvsRiszZagFY3R3SEWGMJkAeWhTH00zdokc2vnR2BlyaJfISGR46/Ys5gnHyPLwJjzx/cjt9rje5Mb7pFMlmlzQuQCLuzISjVPKwHzRRRdBkiQIIdDV1QWn0wlN0xAIBDB9+nRs2bKlmOMck90H+uENRIzN2hRjlTzPugAAIABJREFUQZ8/qCIQVBGOaBhwB6EoMqxmBVVWE1RNh9WsJITc+Iqw3WaGNxBBrcOKKQ12SJIEXReYPbV61H1n2mEv3anL+Ff+0sxZCFz2NVieewamnTtgeeFZmPZ+iNDnVkI0Nyd8zcjNAzp6/XD7wpAlCS119rRzq60WBcLng6O3E86eDjh6OuDo7YSiqXBNT9ylUFitEA2NRhhuaIRoMEKxqK2dlJs9sNJCZWNobrWw26GhJfX1dN0IzMkCtc9r7H4ZDEDyB4Y2iwka84IHBvI+3lhv9IQQPDoYj7WbCCXHXRmJxidlYH7++ecBAD/96U+xatUqzJ8/HwCwc+dOPPnkk8UZXQ5UTcfhbh9qHRYM+IxFebIsQdV0RFRjegKGXggEh6qrsiRheoszZcXXH1Kx+0A/Dnf7hl6ZS5jZ6sLCoxrx9t6eca8QT/fKP7xiJdQ5c2HdvBHy4UOo+s3/Qj36GKgnngS9ZcqoDhy6LjDoN/pFG50/BCwmaXiaxax6mAf6obQfgqW9Had88DF69+yHFLckUQig6ogW6J8+GuqUKUbVuLEREZsdwTRTPCYLVlqoYsny0DSMLHqd6roxHSTgHw7Oum5sshFfOVZVY/t3oQ9VnhXjBbSiGP+PVqUVJRaIYbdzU4wi4q6MROOXcTLX7t27Y2EZAI477jjcfvvtBR3UeEQD5JQGY/uPQX8Ymq5DYGijFBjbXeuaDlkGrBYZM6akDrkmRUa13YITj26BOmd0RTIfK8QzvfLXj5yNwFe/BstLz8O08y2Y3n8Ppvffg97QAGXqNLR2Ab76ZoSr7NDDGqyeQVh0FRY1jGapB9aAD1afB6aBflhfi8CqD+8qNdNugVptQ4e5GgO1LQhNaUXtMbMx/biZCI/YpfBgZ3dZBExWWoiyIMtDO2JWZd5pkUoad2UkGr+MgVlVVdx222044YQTIEkSduzYgVC2OxhNgPgFe62NDjRpVfAGIvD4wvALgYgmoMfaCklQZAlHTavJKvilmk4xnhXiWb/yt9kQPnsFIktOhulv22F6913Ivb2w9vbi070+DHjDkCSjOjzTHQSEcSyc9uFWUxIAs70WoqYG2tQjoE+ZCsen56LW5IRTVlKG/nIKmKy0EFGlSdfatNCtS4nKRcbAfMcdd+C3v/0tHn74YQDA7NmzcccddxR8YLmKLtj7e7sHXf3GXN5IRIfbH4ZJkWExSRAwIaJq0HSgZyCAh7buxqnHtha9YqpqOnrdQQRDGqzW0Q9YyV75i+oaRJadg8jSZZAPH4Lc3o7GjsOIvLMXnp5BqAJAjQ0RkxnWOif6bXaE7U6EqpxonNmK4MnHGluwRjW5gG4PTEDS0F9uAZOVFiKqNJlam06mx3CiiZIxMDc0NOCaa66BEAIiReuwUnP8nCZ8fGgQA96wscufLMFqMSEUUiFJEgABTTe+F1mR4faE8fFhY1euYlRM4+fQ+oMq/t4+iBqnFVMbHUPjM6R95a8o0Kd/Cvp0YyvtxlVA7dAithlmGbs+7sXeEXN0585pGvPimXILmKy0EFElmnS7MhKVmIyB+Ve/+hXuuece+Hw+AEPzgCUJ77//fsEHlytdFzCbFMyZVoNgRINl6NVzR58fqqZDCCM3mhQZZpMMIQBdoGgV07f2dOPvh93o6g9g0B+GJ6ii1x3CgDeM+TPrYl04xvrKP35qSL523yq3gMlKCxFVopLalZFoEsoYmP/4xz/iT3/6E6ZOnVqM8eSFP6Rif6cHbn8Yug5YTEYwsphk6MLov2wa6q1ssygwmWSYFKkoFdPoFIeu/kCsi0eNwwKvFEG/J4iDnV7MmOLKyyv/fOy+VY4Bk5UWIqpUBd2VkaiMZQzMM2bMmFRhWRcCG7f9HXs+GTC2xZaiDxBmWMwywhEdQgIgATazAofNjGqHBbIkQTFLBa+YBsMagiEt1votymk3o8pqQkOtDStO+hRsltLZjarcAiYrLURERDQWGVPZvHnz8O///u9YsmQJlLjNKVavXl3QgeXqjd1d2Pn3PuM/kvGPqgl4/GG47BYcN6cBA+4Q3L4wzGYF1Q4LpjQ4ilYxtVmUoQ2xBBQlcT6xSZFgkmWoWua54sXcdKNcAyYrLURERJSNjIG5q6sLFosFb731VsLlpRiYVU3Hx58MIhTSYDUrCKt6bM5yWBXw+CMQAKa1/P/27jw6qvr+//jr3jsz2UkgJCEISlVoadUvbu0Ry+Ja69pDba0LHpe6VKq2rlQs9qvHWtSj7cFa1GoVpKUNeto/ULQe5bT+5IcoWo/bj1AEwpoQCCHrLPf+/ggzZp1kbiaz3Hk+zumpJJmZmw+Xmdf93Pfn/SlRe2dY+QFLdkQyJU2MM2OazHDqs0xNGj9Kmw4tMoxyHKm0OKD8gBV3ljudm24QMDMHuxQCAJA6gwbmhx56qM/Xli5dOiIHM1wdwYiC4UM9lg1DAb+lgM9UZyiicNiRzzKV57NkGoYKAj5NrCzW1EljBgwdIxVOT/xqpbbuatamHQdk25JlGSotDqhydGGfHQd781JPZCSOXQoBAEi9QQPzZ599piVLlmj//v2SpGAwqN27d+vKK68c8YNLVH7AUnGBXwUBnzpC4VgLtcih1nKFeT4FfF2zt6ZpaOfeVh0/pWLAgDqccBpvBtA0DM2ZfbTe/7xeX+xulmN3HXs0+MR7Ti/1REbiuGACACD1Bg3M//u//6u5c+fq6aef1s9//nOtXr1at912WyqOLWE+y9QR1SXa2diinXvb1Bm2FbG7yh0K8iwdVlHUI2zG64rhNpwOdQbQNAydPLVKx0+pGPKtda/1RO6OEoPBccEEAEB6DBqY8/Pzdd5552nFihWaPXu2Zs6cqZ/85Cf65je/mYrjS9i0yRVyHEfrP61XY3OnwratYNinw8YWqbq8sMfPxusj7DacJjoDmEhdsNd6IkuUGCTCyxdMAABkskEDc2dnpzZu3KhAIKB3331XEydO1I4dO1JxbK6YhqETv1ql/zm6Qq3tIUnSxu1NqtvT0qON22BdMdyE05GeAfRiT2RKDIbOixdMAABkg0ET1h133KFt27bplltu0S9/+UtdcMEFuuCCC1JxbMPis0yVFueptDhPJ361UpOqS2RICoVsObajceUFOubI8riPn1hVLNvuGU9s2xlwYV50BrA/0RnA4Zo2uUKTqkvk2I5a20NyDoXlbOyJPNgFRjjS/1jmKjfnJAAAGL5BZ5jD4bDOPPNMSdJrr70mSXrjjTdG9qiSLNpH+Jgjy7X+s3rt2d+mHfVt2r1vi6pGF+rkqZWxxYDdJbphRypnAB3jy/9lq1wqMUhWjbbXNpEBACAbDBiYt2/frrq6Oi1atEjz58+X43TFwM7OTj344IOxEJ1NPt7cqD372mSYhvY2t6m5NahPNzfqg/9Xr28dM04nfrWyz8K8RDbsSEXJRPcShuJ8v6TsLWHIhRKDZNdoe3UTGQAAMtmAgbmhoUGvvPKKduzYod///vexr5umqUsvvTQlB5dM3W//72ps1f6DnWrtCKkzFNH+lqCa20PauqtZc2Yf3SfIJLIwbyRnAL3WJcGLNdm9JatGu/cMNZvIAACQOgMG5uOPP17HH3+8Zs2alZWzyb1Fb/9bPkPNrUG1doTUEYwcWgjoyHGkTTsO6P3P63Xy1CrXrzOSM4CpKmFIZYs3L5cYJOMChy4iAACk34CBuaWlRStXrtRVV10lSVqxYoX+8pe/6IgjjtDChQs1duzYVB1jUkRv/3eGbYXDtjpDkVjXDMM0ZJqGbNvRF7ub425mEk/voJnsGcCRLmFIRzjzcolBMi5w6CICAED6DfhpvXDhQjU2NkqSvvjiCz322GO6++67dcopp+jBBx9M2QEmS/T2v2l0bQDoRBswOI7y/ZYMo2uLasdWwt0sbMfRho31WvXOFr26dqtWvbNFGzbWy3b6i7bD/x1GqktCNJw5Uo9w9mFtw7Cedyi6LjD8ngnL0pcXOP0ZygUOXUQAAMgMA6aTuro63X777ZK6umOcc845mj59ui699FLt3bs3ZQeYTNMmV+jI8aM0qiSvK8w6Un7Ap+ICvxxHGlUUUH7ASnimNpVBM9pWLtoiz5CSUsJAOEu+4V7gpKJNIQAAGNyAJRmFhV/uird+/Xp9//vfj/3ZyNLaya6SibCqygq1t6ldB1uDsu2u0FJWHFDl6MKEZ2pTvRBvpEoYcqnFWyoNp0Y7F7qIAACQDQYMzJFIRI2NjWptbdWGDRv02GOPSZJaW1vV3t6esgNMhmht7rrP9qixqUM+n6nKsgKNLc3XgZaQCvN9Gl9eFKvXTUS6gmaya6QJZyNjOBc4udBFBACAbDBgYL7uuut07rnnqqOjQ/PmzVNpaak6Ojp02WWX6Yc//GEqj9G16CK8z7bs09Y9B9XcEpTP1xUyDrQGVVaUp6lHjFYkYus73zpc+YFB93HpwytBk3A2stxe4Hi5iwgAANliwIQ4a9Ysvf322+rs7FRxcbEkKT8/X3feeae+/e1vp+wA3eje7aGjM6Ite5pVmO9TOOLIsg51xjAMHWgLqmpMoSRD4Yi7BXpeCpqEs8zj5S4iAABki7hTqn6/X36/v8fXMj0sSz1bcRmmFI44OtgWUnswrOKCL3+fSMRROGIrz5/4Qr/uRipoprIfstQ3nPmsrgsJ23ZkWtlZt+4VbFQCAED6JF6DkOF6L8LzWWZsVllO18xv9HvmoUD4leqiYQXSaND8+qQxOtAaVGlRwFV5R1S6N6swTUMb6/azWcYhqb5wAQAAmcVzgbn3IjzTNFRaGFBTa6cK8nwqKQyotSOkAy2dskxDjQfaVZhnybIM14Ew2QE33ZtVpPv1M0W6L1wADA0XtQBGmucCc3+L8MaVd7XIa24LqrKsQI0HDRUEfJpQUSTr0JvrcAJhMgNmqtvUZdrrZxIuHIDMxkUtgFTxXPLpvVlEOGKrrTOs8tJ8nX7iBJ3zrcNVPbpQR4wriYVlyf0GHcne8CPdm1Wk+/UzBRu5AJkvnbuTAsgtnpthlroW4UVsR/9cX6fGAx2yHUdF+T4ZcjR5YpnCEUd+s+/sg5u+ycnuw5zuNnXpfv1MMZS/V3ArHOnD3TAAqeTJwGwahrbuapbjOBozKq+rW4ZhqHZHs+x125Tvt5IWCJMdMNPdpi7dr58puHCIj1vhSDd2JwWQSp58N+kIhvXfnc2yLFOWZca28jZNQ1t2NatqTGGsZCPKtp2Et8WW+paADOf5whFbLe0hHXNkuSZVl8iQFArZMqSU9kOeNrkira+fCZL59+pF3ApHukUvavvDRS2AZPPkDPOB1qA6D8169dYZsnVEdYkCfjNpfZOH24d5oNm6755yhIIhe0Rvd0dDevfXYLOMLmzk0j9uhSMTcDcMQCp5MjCXFgWUN8Dt9Dy/qdHFeaoeU5S0QDjcgJmObgzRkN7YElJTU3u/t9RzfbMMLhz6x61wZAouagGkiicDc37Ap6PGj9LG7Qf6zDxMmVAa21Qk2YHQzfOla7YuGtJLSvJpmTaIXL9w6I367uzmpYWaXNQCSBXPvrN8b9ZRmjKhVIa6Zr0MSVMmlOp7s45K96H1kIw2btGyiqG2OqNlGoaD+u7sZDuONmys16p3tujVtVu16p0t2rCxXrbT36VPdum6qPVz7gEYMZ6cYZYkn2nqezOP0oGWTrV1hlSY51dpcZ58Zvw31FTPvgxnts5tpwJuqWO4uBWefdiIBwDc82RgjgbJbbsPqq6+RW2dYRXm+zWhslhHDBAo+wuf4yuK9NXDR6swzzdi4Xk4C1fcfgBySx3Dxa3w7MJCTQAYHk8G5miQ3LOvTS0dIRmGoZb2kHY3tso5dBu5d6DsHj59PkM797bq06379X8/2aPDK4tHtMesm9m64XwAdg/p3bG6HImivjs7cFcJAIbHc4E5GiQl6UBbMNaD2TCk5tagqsYU9gmUvcPn7sY2NbV2yjAMtXWEFHGcEb116Wa2brgfgNEw3tgSUohb6oCncVcJAIbHc4E5GiQdOYpEHFnWlzOwkYijcMRRxHF6BMrW9pBa2kMqyOsaju5BO/qYgM8c8VuXiczWDfcDMBrSR48pUt2OJm6pAx5Gz2IAGB7PBeZokIzYPcOyJFmWIZ9lyDIM5QesWN3ylt0HtXX3QZmWoaI8n8JhWz6f2eMxUmbdukzWB2B0dTkAb2OhJgC457nA3D1IlhYGYqUVjiOVFgckR5o4rqv11YaN9bHAOXpUnppagjrYHlJ7MKwSXyD2mGjdcqbduuQDEMBQsVATANzzXGCWvgySptFVn9zWGVZRgV/jyotiXTJ61y2PKy+S1FXnbNuSY9sqK8mPfd3trcuRbFPHByCARLFQEwAS58nA3DtI+ixD4YjTI1C2BcM9Fs0ZkqrLi1Q1plCtHWFNqirWvuZO1zO3bnskuzHQB+BI95T20o5hAAAAA/FkYI6KN5My0KI50zA0qsCvU46pliTXgTCdmwSMdFhP5cUAAABAuuXstOBQtvd1u93qSG09PdQtsKNh3ZF6hPUPaxtcvW6qnx8AACCTeHqGeTAjtWgu2ZsEJDKjm+iGJtEQPtRZdHYMAwAAuSanA/NILZpL9iYBiZR3RMO65euq2/ZZRixUdw/r0RDe2BJSU1P7kMsq2DEMAADkGpKN5Lr0It7zDVbuMVSJlncE/Kb2HmxXbV2TNtU1qbauSbsaW+WoZ1iPhnApsbKK6MVAfzKt7R7iG2qJDwAAuS7lgfndd9/VKaecorfeeivVL51S0yZXaFJ1iQxJoZAtQ3JV7hGd0e1PdEa3u483N8q2HdmOI9My5Ehqaglq596WWFgfTo11Mi8GkB6242jDxnqtemeLXl27Vave2aING+tlO/3dEwEAACktydi2bZv+9Kc/6cQTT0zly6ZFsso9EinviAbh8eVFMmXoQFswtj24JUPHHFkuafhlFWyYkt3S2cEFAIBslNLAXFFRoSeeeEILFixI5cum1XA3CUhkC+zuQbh6bJGq7EKFI7Z8lqlIxOkKtz5r2DXWbJiSvVi0CQBA4lL6yVhQUCDLSk+NazbXaw61vKN3fbFpGgr4rUP//2UQTlZZRbJrvzHyEi3x8ZJsfg/Idow9gGw3YjPMNTU1qqmp6fG1m2++WTNmzEjoeUaPLpTPN7SQXVFR0udrwVBE/+c/O7WjoUWhsC2/z9RhFcU69X/GK+AfufAejthq7wyrIM+XlED5ncpRQ3rOYyZXatP2pj6z0UdPKFP1uNLY184qL9a7n+zW5p0H5PP7lBewdOT4Un3zG+P6zD5iYP2dc5lsdMRWWVn9gN+feFhZSi6AUjlutu3EzvXOYCSrz/VsO98yZeyzbdwyCWPnDuPmTiaPm+E4qV/pM3/+fH3nO9/RaaedNujPNjQcHNJzVlSU9PjZaNu0dZ/tUWNTh3y+rrIE05QiEUflZfn61tSqpO9Ol+5d8BJ9/dFjilS3o4myChd6n3PZYsPG+gFLfFJRw5zqcUv375ss2Xi+ZcLYZ+O4ZQrGzh3GzZ1MGLd4gd2zfZg/rG3Q5p3Nam4Jyucz1dIWUntnSPl5PpUUBtTcEtTmnc2SkrvQKd0LqhKtL46WVSB35NKiTWq204exB+AlKQ3Ma9as0bPPPqvNmzfrk08+0bJly/Tcc88l/XWib9S20zWbbJiGOkIRGaapjmBEBQFbhgzZjpL6xp1JHxDDXWwI78qlRZtstJM+jD0AL0lpYJ49e7Zmz5494q8TfaP2+QxZVteOd47tKBSxFY7Ysm1HPsvU3qZ2jS3NT9obNx8QyCa5cFGV7F03MXSMPQAv8eSnZfSN2jQMjSoKyDCkUNg+tEK7a6voPL+lA61BNR7sSNobN7vgAZmFjXbSh7EH4CWefMfq/kY9rrxIZcV5kqFDM8uGCvJ8Ki70S3JkJLHLkVc+IGgBBS9J1q6bSBxjD8ArPLvor/vCplHFAVWVFch2HFk+U86hHFhWlKcxo5JXktH7dbNtQVW6O3wAIyGXarYzDWMPwCs8G5i7v1G3tof05vvbZZiGbNuJ7X5nmoYMKamlEtn8AZHuDh/ASMqFmu1MxdgDyHaefwfzWaZKi/N0RHWJbNvpsfvdSJZKZNsueIN1+KA8AwAA5KrsSHNJQC1dfLm8ZTIAAEA8ni3J6C2bSyVSgRZQyReO2JxrAAB4QM4E5ihq6foX7fAx0Da2BL6hY/EkAADeQgpCzGBlK7SbG5ro4klH6rF48sPahnQfGgAAcCHnZpgxsIHKVmzH0YaN9cyYDkEmbY8OAACSg09u9NG7wwczpkPH4kkAALyHwIy4aDeXGLZHBwDAe3IiMFN76x4zponxyvboAADgS56uYaZbwfDRbi5x2bw9OgAA6MvTgZmtnoePdnOJo+c3AADe4tlPcWpvk4ddEt3Jtu3RAQBA/zw7wxytvfX3swArWnvLBiZDw4wpAADIZZ4NzNTe9pSMbZrZJREAAOQizwZmam+7ZMPCx2SEeQAAgJHi2cAs0a1AyuyFj9kQ5gEAADwdmHO99nYo2zQP9XlGYvwyOcwDAABEeTowR+Vq7e1QFj7GM9AM8DFHlisYsocVoIcS5nPp4gYAAGSunAjMuWq4Cx97zwDbjqO1n+zWus/2aGxJwbBKKOhiAgAAsgWJxMOGs01zfzPAuxvb1NwaVHNLUJbPiJVQfFjbkPCxRcN8f3KxiwkAAMhcBGaPc7vpSHQGOMq2HR1oC8owDEUijsKRrhDudiOY4YR5AACAVKIkw+PcLnzsXc4RjtiKRBxZliHLMuSzvpx5dltCQRcTAACQDQjMOSLRhY+9+1j7LFOWZchxpNLiQI+aZbclFLnexQQAAGQHAjMG1H0GOBJxVFYYUESOxpUXxX4mGRvB5GoXEwAAkB0IzBhQ7xnggN/Ux5sbKaEAAAA5hcCMQXWfAaaEAgAA5BoCMxJGCQUAAMglpB4AAAAgDgJzHOGIrZb2UMI9hgEAAOAdlGT0w3YcfVjb0GNxm9stoAEAAJDdmGHux4e1Ddqy66AcSf5Dm3e43QIaAAAA2Y3A3Es4YqtuT4tMs+dMststoAEAAJDdCMy9dAQjCob6D8XRLaDhbdSuAwCA7qhh7iU/YClwqAyjN7dbQCM7ULsOAAD6wwxzLz6rKyTZds/IbNuOJlYVs1GHh1G7DgAA+kP668e0yRWaVF0iQ1IoZMuQ2ALa46hdBwAAA6Ekox+mYbAFdI6J1q77/X3/nqO16+xuCABAbiIwx9F9C+hwxCY8exi16wAAYCAE5kGwECw3RGvXt+w62KMsw7YdTaou4SIJAIAcRgoYxGALwWhB5h2pqF3nfAEAIPswwxxHvIVgW/e0KGI72tnQ2mfm2bYdyjey0EjWrnOnAgCA7EVgjiPeQrDt9S3q7AwrP88Xm3n+YmezNu84IL/PIhRlse6168kSvVNhmkaPOxWSdMKUyqS+FgAASC6mP+OILgTrzXYctXWEFPD3XAhWv79dm3YcUMRx6OOLGFrWAQCQ3QjMcQy0iUkwZKswz9dncdiBtqBsWwpHvvx5QhHYbh0AgOxGScYgogu+uteeHjV+lPJ7zTyHI7YiEUc+y5DP6jmTSB/f3EbLOgAAshuBeRADLQSzLKNHCzKfZco0DY0qCvSpVyYU5TZa1gEAkN0IzEPUeyFYfzPPkw8bJcPsGX4IRZD6P1/Ybh0AgOxAYHapv5ln0zT6tA4jFEFiu/XhYqdNAEA6EZiHqffMM6EI8YxEyzovo381ACATEJhHAKEISA76VwMAMgGpDkBGon81ACBTpHSGORwOa8GCBaqrq1M4HNZdd92lk046KZWHACBLxNtpk1aNAIBUSmlg/sc//qGCggL9+c9/Vm1trX7xi19o5cqVqTwEAFmC/tUAgEyR0sB84YUX6vzzz5ckjRkzRk1NTal8eQBZhP7VAIBMkdLA7Pf7Y//9wgsvxMIzAPSH/tUAgExgOI7T3x3PYaupqVFNTU2Pr918882aMWOGli9frjfffFNLlizpEaL7Ew5H5PNx63W4whFb7Z1hFeT5mJlD1uH8BQCk04gF5oHU1NRo9erVevLJJ5WXlzfozzc0HBzS81ZUlAz5Z3PJYH1sGTf3GDt3GDd3GDd3GDf3GDt3GDd3MmHcKipKBvxeSksy6urqtGLFCr344otDCssYPvrYAgAADE9KA3NNTY2ampp0/fXXx7727LPPKhAIpPIwcsZgfWyPO2psmo4MAJAKbCsPJEdKA/Ntt92m2267LZUvmdOG0scWAOA9bCsPJBeXmx4W7WPbH/rYAoB3RcvxHKlHOd6HtQ3pPjQgKxGYPSzax9a2e67rtG1HE6uKuT0HAB7EtvJA8pGYPG7a5ApNqi6RISkUsmVI9LEFAA+LluP1h3I8wJ2U1jAj9UzD0AlTKnXcUWNZ+AEAOYBt5YHkIznlCJ9lqrjAT1gGAI+jHA9IPv7VICuFI7Za2kPU4gFAPyjHA5KLkgxkFVolAcDgKMcDkovAjKzCzoUAMHRd5XgEZWC4+FeErEGrJAAAkA4EZmQNWiUBAIB0IDAja7BzIQAASAcCM7IGrZIAZCO6+gDZj0V/yCrRlkjdu2TQKglAJqKrD+AdBGZkFVolAcgWdPUBvIOkgazEzoUAMhldfQBvIW0AAJBkdPUBvIXADABAktHVB/AWAjMAAElGVx/AW/gXCwDACJg2uUKTqktkSAqFbBkSXX2ALEWXDAAARgBdfQDvIDADADCCurr6EJSBbMa/YAAAACAOAjMAAAAQB4EZAAAAiIPADAAAAMRBYAYAAADiIDADAAAAcRCYAQAAgDgIzAAAAEAcBGYAAAAgDgIzAAAAEAeBGQAAAIiDwAwAAADEQWAGAAAA4iAwAwAAAHEQmNMsHLHV0h5SOGKn+1AAAADQD1+6DyBX2Y6jD2sbVLenRcGQrYDf1MSqYk2bXCHTMNJ9eAAAADjR4/rWAAALSklEQVSEGeY0+bC2QVt2HZQjye835UjasuugPqxtSPehAQAAoBsCcxqEI7bq9rTINHvOJJumobo9LZRnAAAAZBACcxp0BCMKhvoPxcGQrY5gJMVHBAAAgIEQmNMgP2Ap4O9/6AN+U/kBK8VHBAAAgIEQmNPAZ3Ut8LNtp8fXbdvRxKpi+Sz+WgAAADIFySxNpk2u0KTqEhmSQiFbhqRJ1SWaNrki3YcGAACAbmgrlyamYeiEKZU67qix6ghGlB+wmFkGAADIQATmNPNZpooLCMoAAACZiqQGAAAAxEFgBgAAAOIgMAMAAABxEJgBAACAOAjMAAAAQBwEZgAAACAOAjMAAAAQB4EZAAAAiIPADAAAAMRBYAYAAADiIDADAAAAcRCYAQAAgDgIzAAAAEAcBGYAAAAgDsNxHCfdBwEAAABkKmaYAQAAgDgIzAAAAEAcBGYAAAAgDgIzAAAAEAeBGQAAAIiDwAwAAADE4Uv3AcTz61//Wv/5z39kGIbuueceHXfccbHvvfPOO3rsscdkWZZmzpypefPmDfiYBx54QB988IGKiookSddee61mz56djl8pJdyM28aNG3XTTTfpqquu0hVXXCFJ2rVrl+666y5FIhFVVFTokUceUSAQSMvvlArJGrdcO98kd2P38MMP6/3331c4HNYNN9ygs88+m3PO5bjl2jmX6Li1t7dr/vz5amxsVGdnp2666SaddtppnG8uxy3XzjfJ3b9VSero6NB5552nefPmac6cOZxzLsctI845J0OtW7fOuf766x3HcZza2lrn4osv7vH97373u87OnTudSCTiXHLJJU5tbe2Aj5k/f77z6aefpvYXSBM349ba2upcccUVzr333ussW7Ys9rPz5893XnnlFcdxHGfRokXO8uXLU/eLpFiyxy1XzjfHcTd2a9eudX784x87juM4+/btc2bNmuU4Dudcd4mOW66cc27GbdWqVc7TTz/tOI7jbN++3Tn77LMdx+F86y7RccuV881x3I1d1GOPPebMmTPHeemllxzH4ZzrLtFxS/c5l7ElGWvXrtWZZ54pSTr66KPV3NyslpYWSVJdXZ1KS0tVXV0t0zQ1a9YsrV27dsDHtLa2pu33SDU34xYIBPTMM8+osrKyx3OtW7dOZ5xxhiTpjDPO0Nq1a1P7y6RQMsctl843yd3YnXzyyfrd734nSSotLVV7e7sikQjnnMtxy6Vzzs24nXvuubruuuskdd05q6qqksR7nNtxy6XzTXI3dpL03//+V5s2beoxE8o5527cMuGcy9jAvHfvXo0ePTr25/LycjU0NEiSGhoaNGbMmNj3xo4dq4aGhgEf09raqieeeEJz587VHXfcoaamptT9IinmZtx8Pp/y8/P7PFd7e3vsVlFFRUXsebwomeOWS+eb5G7sLMtSYWGhJKmmpkYzZ86UZVmccy7HLZfOOTfjFvWjH/1Id9xxh+655x5JvMe5HbdcOt8k92O3aNEizZ8/v8dzcc65G7dMOOcyNjA7vXbsdhxHhmH0+z1JMgxjwMdE/7EvW7ZMRx11lBYvXjxyB55mbsZtIN2/199jvSSZ45ZL55s0vLF74403tHLlSi1cuLDP9zjneoo3brl0zg1n3FasWKE//OEPuvPOO3s8bqDHekkyxy2XzjfJ3dj9/e9/17Rp0zRx4sQ+3xvoeb0mmeOWCedcxi76q6qq0t69e2N/rq+v19ixY/v93p49e1RRUSGfz9fvYyZNmhT72llnnaVf/epXI3786eJm3AZSUFCgjo4O5efna8+ePX1KD7wkmeN21lln9fhvL59vkvux+/e//60lS5boj3/8o0pKSiRxzrkdt1w659yM28cff6zy8nJVV1dr6tSpikQi2rdvH+eby3HLpfNNcjd2a9asUV1dndasWaPdu3crEAho3LhxnHMuxy0TzrmMnWE+9dRT9dprr0mSPv30U1VWVqq4uFiSNGHCBLW0tGj79u0Kh8N66623dOqppw74mBtvvFE7d+6U1FU/NHny5PT8UingZtwGMn369Nhzvf7665oxY8bI/wJpksxxy6XzTXI3dgcPHtTDDz+sp556SmVlZbHn4pxzN265dM65Gbf33ntPzz33nKSu28RtbW0aPXo055vLccul801yN3a//e1v9dJLL+lvf/ubfvCDH+imm27S9OnTOedcjlsmnHOGk8H3BB599FG99957MgxD9913nz799FOVlJTorLPO0vr16/Xoo49Kks4++2xde+21/T7ma1/7mt5++209/vjjKiwsVEFBgR566CGVl5en81cbUYmO28cff6xFixZpx44d8vl8qqqq0uLFixUMBnX33Xers7NT48eP10MPPSS/35/m327kJGvcPv7445w636TEx+6vf/2rFi9erK985Sux51i0aJF8Ph/nnItx27x5c06dc4mOW0dHhxYsWKBdu3apo6NDP/3pT3X66aervr6e883FuOXaZ6rkLo9ELV68WIcddpjmzJnDOedy3DLhnMvowAwAAACkW8aWZAAAAACZgMAMAAAAxEFgBgAAAOIgMAMAAABxEJgBAACAOAjMAJAm27dv18yZM9N9GACAQRCYAQAAgDgydmtsAMhVr7zyil588UX5/X6NGjVK999/v55++mmVlZXphhtukCQ9+eSTam1t1a233qr7779fW7dulW3bOuOMM3TNNdfo5Zdf1po1a3TgwAFdffXVmjhxou677z5ZlqWWlhb97Gc/04wZM7R//37dfvvtamtr05QpU1RXV6frrrtO06dP17Jly/Tqq6/K5/PpsMMO03333af8/Pw0jw4ApB4zzACQQXbt2qUlS5bo+eef1wsvvKCTTjpJTz31lC688EKtXr069nOvvvqqLrroIi1dulSVlZVatmyZli5dqlWrVunzzz+XJH322Wd65plnNHv2bO3du1e33nqrXnjhBd177716/PHHJUnPP/+8Jk+erBUrVuiKK67Q+vXrJUkfffSR/vnPf2r58uVaunSpSkpKVFNTk/oBAYAMwAwzAGSQDz74QA0NDbFtYoPBoCZMmKCpU6cqGAyqrq5OwWBQlmVpypQpeuSRR7R79+5Y0A0Gg9q2bZsk6etf/7oCgYAkqaKiQg8//LAef/xxhUIhNTU1SZI+//xzXXLJJZKkKVOmxLbdXrdunbZt26Yrr7xSktTW1iafj48MALmJdz8AyCCBQEDHHXecnnrqqT7fO//887V69Wq1t7frwgsvjP38vHnzdM455/T42Zdffll+vz/25wceeEDnnXeeLr74Ym3cuFE33nijJMm2bRmGEfs50zRjz3v66adr4cKFSf8dASDbUJIBABnk2GOP1UcffaSGhgZJXaUXb7zxhqSuwPzWW2/pzTff1Pnnny9JOvHEE2OlGrZt66GHHorNHne3d+9eHX744ZK6aqSDwaAk6cgjj9QHH3wgSdq0aZM2b94sSTrhhBP0r3/9S62trZKk5cuXx34OAHINM8wAkEb79u3T3LlzY38+9thjtWDBAt1www0qKChQfn6+Fi1aJEmaOHGiDMNQeXm5KisrJUmXX365amtrdckllygSiWj27NkqKyvr8zrXXHONfvnLX2rChAm66qqr9Prrr+s3v/mNrr76at1yyy267LLLdPTRR+sb3/iGLMvSscceq8svv1xz585VXl6eKisrNWfOnNQMCgBkGMNxHCfdBwEASI/Nmzerrq5Os2bNUkdHh84880ytXLlS48aNS/ehAUDGIDADQA5raGjQXXfdpba2NoXDYV100UWxhX4AgC4EZgAAACAOFv0BAAAAcRCYAQAAgDgIzAAAAEAcBGYAAAAgDgIzAAAAEAeBGQAAAIjj/wN6NmB6CxGErwAAAABJRU5ErkJggg==
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<p>The final analysis plot doesn't show any points that could be outliers. There are a handful that have more leverage than the majority of points, but comparatively, it isn't much more leverage.</p>

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<h1 id="Summary">Summary<a class="anchor-link" href="#Summary">&#182;</a></h1><p><a href="#ToC">Back to Table of Contents</a></p>
<p>Overall, the model fulfills the ordinary least squares regression requirements. The model's errors are: independent of driving distance, have constant variance, a mean of zero, are not correlated with eachother, and have a normal distribution. Also, the predictor and response variables have a linear relationship and there aren't any large outliers from the model. The only caveat of the model is it's accuracy, which doesn't negate its usefullness. An adjusted r^2 value means that golfers can expect to affect their scoring average by 7.9%. So if they can increase their average driving distance by 20 yards, their scoring average would improve by -0.08. It's not much but as stated earlier, golf has many moving parts. The analysis of this dataset taught me that there isn't one aspect of golf that leads to better scores. Truly every part of golf, from driving to putting, plays an almost equal role in overall performance.</p>
<p>The next step towards finding accurate and significant predictors for golf success, would be to make a multiple regression model. If we can find several predictors, then together they can provide a more accurate prediction. Naturally we would be taking into account more aspects of golf, therefore more of the overall variation in scoring average could be accounted for. The problem would be to sort through the multicollinearity of this data set. Many variables are closely linked, so we must be careful when choosing predictors.</p>

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<div class=" highlight hl-ipython3"><pre><span></span><span class="c1"># Use regression equation to roughly predict scoring average improvement based on increase in driving distance.</span>

<span class="n">predictions</span> <span class="o">=</span> <span class="p">[(</span><span class="n">x</span><span class="p">,</span>
               <span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="o">-</span><span class="mf">0.0486</span><span class="o">*</span><span class="n">x</span><span class="p">)(</span><span class="n">x</span><span class="p">),</span>
               <span class="p">(</span><span class="k">lambda</span> <span class="n">x</span><span class="p">:</span> <span class="o">-</span><span class="mf">0.0486</span><span class="o">*</span><span class="n">x</span><span class="p">)(</span><span class="n">x</span><span class="p">)</span><span class="o">*</span><span class="mf">0.079</span><span class="p">)</span> <span class="k">for</span> <span class="n">x</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">101</span><span class="p">,</span> <span class="mi">5</span><span class="p">)]</span>

<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{:20}</span><span class="s1"> </span><span class="si">{:16}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s1">&#39;YARDS ADDED TO&#39;</span><span class="p">,</span> <span class="s1">&#39;SCORING AVG&#39;</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{:20}</span><span class="s1"> </span><span class="si">{:20}</span><span class="s1"> </span><span class="si">{}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s1">&#39;AVG DRIVE DIST&#39;</span><span class="p">,</span> <span class="s1">&#39;IMPROVEMENT&#39;</span><span class="p">,</span> <span class="s1">&#39;ADJUSTED&#39;</span><span class="p">))</span>
<span class="nb">print</span><span class="p">(</span><span class="s1">&#39;=&#39;</span><span class="o">*</span><span class="mi">50</span><span class="p">)</span>

<span class="k">for</span> <span class="n">x</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">z</span> <span class="ow">in</span> <span class="n">predictions</span><span class="p">:</span>
    <span class="nb">print</span><span class="p">(</span><span class="s1">&#39;</span><span class="si">{:&gt;14}</span><span class="s1"> </span><span class="si">{:17.2f}</span><span class="s1"> </span><span class="si">{:17.2f}</span><span class="s1">&#39;</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s1">&#39;+&#39;</span><span class="o">+</span><span class="nb">str</span><span class="p">(</span><span class="n">x</span><span class="p">)</span><span class="o">+</span><span class="s1">&#39; yards&#39;</span><span class="p">,</span> <span class="n">y</span><span class="p">,</span> <span class="n">z</span><span class="p">))</span>
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<pre>YARDS ADDED TO       SCORING AVG     
AVG DRIVE DIST       IMPROVEMENT          ADJUSTED
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      +5 yards             -0.24             -0.02
     +10 yards             -0.49             -0.04
     +15 yards             -0.73             -0.06
     +20 yards             -0.97             -0.08
     +25 yards             -1.21             -0.10
     +30 yards             -1.46             -0.12
     +35 yards             -1.70             -0.13
     +40 yards             -1.94             -0.15
     +45 yards             -2.19             -0.17
     +50 yards             -2.43             -0.19
     +55 yards             -2.67             -0.21
     +60 yards             -2.92             -0.23
     +65 yards             -3.16             -0.25
     +70 yards             -3.40             -0.27
     +75 yards             -3.65             -0.29
     +80 yards             -3.89             -0.31
     +85 yards             -4.13             -0.33
     +90 yards             -4.37             -0.35
     +95 yards             -4.62             -0.36
    +100 yards             -4.86             -0.38
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