From 6e30cb5aa85ae894480579fa163c117a433f1987 Mon Sep 17 00:00:00 2001
From: silicontwin <silicontwin@users.noreply.github.com>
Date: Tue, 17 Sep 2024 20:34:33 +0000
Subject: [PATCH] Updated the Python documentation

---
 docs/python-documentation/_static/basic.css   | 921 ++++++++++++++++++
 docs/python-documentation/_static/debug.css   |  69 ++
 docs/python-documentation/_static/doctools.js | 156 +++
 .../_static/documentation_options.js          |  14 +
 docs/python-documentation/_static/file.png    | Bin 0 -> 286 bytes
 .../_static/language_data.js                  | 199 ++++
 docs/python-documentation/_static/minus.png   | Bin 0 -> 90 bytes
 docs/python-documentation/_static/plus.png    | Bin 0 -> 90 bytes
 .../python-documentation/_static/pygments.css | 258 +++++
 .../_static/scripts/furo-extensions.js        |   0
 .../_static/scripts/furo.js                   |   3 +
 .../_static/scripts/furo.js.map               |   1 +
 .../_static/searchtools.js                    | 566 +++++++++++
 .../python-documentation/_static/skeleton.css | 296 ++++++
 .../_static/sphinx_highlight.js               | 144 +++
 .../_static/styles/furo-extensions.css        |   2 +
 .../_static/styles/furo-extensions.css.map    |   1 +
 .../_static/styles/furo.css                   |   2 +
 .../_static/styles/furo.css.map               |   1 +
 docs/python-documentation/api.html            | 638 ++++++++++++
 docs/python-documentation/causal.html         | 371 +++++++
 docs/python-documentation/genindex.html       | 339 +++++++
 docs/python-documentation/index.html          | 348 +++++++
 docs/python-documentation/install.html        | 415 ++++++++
 docs/python-documentation/objects.inv         | Bin 0 -> 409 bytes
 docs/python-documentation/search.html         | 304 ++++++
 docs/python-documentation/searchindex.js      |   1 +
 docs/python-documentation/supervised.html     | 378 +++++++
 28 files changed, 5427 insertions(+)
 create mode 100644 docs/python-documentation/_static/basic.css
 create mode 100644 docs/python-documentation/_static/debug.css
 create mode 100644 docs/python-documentation/_static/doctools.js
 create mode 100644 docs/python-documentation/_static/documentation_options.js
 create mode 100644 docs/python-documentation/_static/file.png
 create mode 100644 docs/python-documentation/_static/language_data.js
 create mode 100644 docs/python-documentation/_static/minus.png
 create mode 100644 docs/python-documentation/_static/plus.png
 create mode 100644 docs/python-documentation/_static/pygments.css
 create mode 100644 docs/python-documentation/_static/scripts/furo-extensions.js
 create mode 100644 docs/python-documentation/_static/scripts/furo.js
 create mode 100644 docs/python-documentation/_static/scripts/furo.js.map
 create mode 100644 docs/python-documentation/_static/searchtools.js
 create mode 100644 docs/python-documentation/_static/skeleton.css
 create mode 100644 docs/python-documentation/_static/sphinx_highlight.js
 create mode 100644 docs/python-documentation/_static/styles/furo-extensions.css
 create mode 100644 docs/python-documentation/_static/styles/furo-extensions.css.map
 create mode 100644 docs/python-documentation/_static/styles/furo.css
 create mode 100644 docs/python-documentation/_static/styles/furo.css.map
 create mode 100644 docs/python-documentation/api.html
 create mode 100644 docs/python-documentation/causal.html
 create mode 100644 docs/python-documentation/genindex.html
 create mode 100644 docs/python-documentation/index.html
 create mode 100644 docs/python-documentation/install.html
 create mode 100644 docs/python-documentation/objects.inv
 create mode 100644 docs/python-documentation/search.html
 create mode 100644 docs/python-documentation/searchindex.js
 create mode 100644 docs/python-documentation/supervised.html

diff --git a/docs/python-documentation/_static/basic.css b/docs/python-documentation/_static/basic.css
new file mode 100644
index 00000000..cfc60b86
--- /dev/null
+++ b/docs/python-documentation/_static/basic.css
@@ -0,0 +1,921 @@
+/*
+ * basic.css
+ * ~~~~~~~~~
+ *
+ * Sphinx stylesheet -- basic theme.
+ *
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+/* -- main layout ----------------------------------------------------------- */
+
+div.clearer {
+    clear: both;
+}
+
+div.section::after {
+    display: block;
+    content: '';
+    clear: left;
+}
+
+/* -- relbar ---------------------------------------------------------------- */
+
+div.related {
+    width: 100%;
+    font-size: 90%;
+}
+
+div.related h3 {
+    display: none;
+}
+
+div.related ul {
+    margin: 0;
+    padding: 0 0 0 10px;
+    list-style: none;
+}
+
+div.related li {
+    display: inline;
+}
+
+div.related li.right {
+    float: right;
+    margin-right: 5px;
+}
+
+/* -- sidebar --------------------------------------------------------------- */
+
+div.sphinxsidebarwrapper {
+    padding: 10px 5px 0 10px;
+}
+
+div.sphinxsidebar {
+    float: left;
+    width: 230px;
+    margin-left: -100%;
+    font-size: 90%;
+    word-wrap: break-word;
+    overflow-wrap : break-word;
+}
+
+div.sphinxsidebar ul {
+    list-style: none;
+}
+
+div.sphinxsidebar ul ul,
+div.sphinxsidebar ul.want-points {
+    margin-left: 20px;
+    list-style: square;
+}
+
+div.sphinxsidebar ul ul {
+    margin-top: 0;
+    margin-bottom: 0;
+}
+
+div.sphinxsidebar form {
+    margin-top: 10px;
+}
+
+div.sphinxsidebar input {
+    border: 1px solid #98dbcc;
+    font-family: sans-serif;
+    font-size: 1em;
+}
+
+div.sphinxsidebar #searchbox form.search {
+    overflow: hidden;
+}
+
+div.sphinxsidebar #searchbox input[type="text"] {
+    float: left;
+    width: 80%;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+div.sphinxsidebar #searchbox input[type="submit"] {
+    float: left;
+    width: 20%;
+    border-left: none;
+    padding: 0.25em;
+    box-sizing: border-box;
+}
+
+
+img {
+    border: 0;
+    max-width: 100%;
+}
+
+/* -- search page ----------------------------------------------------------- */
+
+ul.search {
+    margin: 10px 0 0 20px;
+    padding: 0;
+}
+
+ul.search li {
+    padding: 5px 0 5px 20px;
+    background-image: url(file.png);
+    background-repeat: no-repeat;
+    background-position: 0 7px;
+}
+
+ul.search li a {
+    font-weight: bold;
+}
+
+ul.search li p.context {
+    color: #888;
+    margin: 2px 0 0 30px;
+    text-align: left;
+}
+
+ul.keywordmatches li.goodmatch a {
+    font-weight: bold;
+}
+
+/* -- index page ------------------------------------------------------------ */
+
+table.contentstable {
+    width: 90%;
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.contentstable p.biglink {
+    line-height: 150%;
+}
+
+a.biglink {
+    font-size: 1.3em;
+}
+
+span.linkdescr {
+    font-style: italic;
+    padding-top: 5px;
+    font-size: 90%;
+}
+
+/* -- general index --------------------------------------------------------- */
+
+table.indextable {
+    width: 100%;
+}
+
+table.indextable td {
+    text-align: left;
+    vertical-align: top;
+}
+
+table.indextable ul {
+    margin-top: 0;
+    margin-bottom: 0;
+    list-style-type: none;
+}
+
+table.indextable > tbody > tr > td > ul {
+    padding-left: 0em;
+}
+
+table.indextable tr.pcap {
+    height: 10px;
+}
+
+table.indextable tr.cap {
+    margin-top: 10px;
+    background-color: #f2f2f2;
+}
+
+img.toggler {
+    margin-right: 3px;
+    margin-top: 3px;
+    cursor: pointer;
+}
+
+div.modindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+div.genindex-jumpbox {
+    border-top: 1px solid #ddd;
+    border-bottom: 1px solid #ddd;
+    margin: 1em 0 1em 0;
+    padding: 0.4em;
+}
+
+/* -- domain module index --------------------------------------------------- */
+
+table.modindextable td {
+    padding: 2px;
+    border-collapse: collapse;
+}
+
+/* -- general body styles --------------------------------------------------- */
+
+div.body {
+    min-width: 360px;
+    max-width: 800px;
+}
+
+div.body p, div.body dd, div.body li, div.body blockquote {
+    -moz-hyphens: auto;
+    -ms-hyphens: auto;
+    -webkit-hyphens: auto;
+    hyphens: auto;
+}
+
+a.headerlink {
+    visibility: hidden;
+}
+
+h1:hover > a.headerlink,
+h2:hover > a.headerlink,
+h3:hover > a.headerlink,
+h4:hover > a.headerlink,
+h5:hover > a.headerlink,
+h6:hover > a.headerlink,
+dt:hover > a.headerlink,
+caption:hover > a.headerlink,
+p.caption:hover > a.headerlink,
+div.code-block-caption:hover > a.headerlink {
+    visibility: visible;
+}
+
+div.body p.caption {
+    text-align: inherit;
+}
+
+div.body td {
+    text-align: left;
+}
+
+.first {
+    margin-top: 0 !important;
+}
+
+p.rubric {
+    margin-top: 30px;
+    font-weight: bold;
+}
+
+img.align-left, figure.align-left, .figure.align-left, object.align-left {
+    clear: left;
+    float: left;
+    margin-right: 1em;
+}
+
+img.align-right, figure.align-right, .figure.align-right, object.align-right {
+    clear: right;
+    float: right;
+    margin-left: 1em;
+}
+
+img.align-center, figure.align-center, .figure.align-center, object.align-center {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+img.align-default, figure.align-default, .figure.align-default {
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+.align-left {
+    text-align: left;
+}
+
+.align-center {
+    text-align: center;
+}
+
+.align-default {
+    text-align: center;
+}
+
+.align-right {
+    text-align: right;
+}
+
+/* -- sidebars -------------------------------------------------------------- */
+
+div.sidebar,
+aside.sidebar {
+    margin: 0 0 0.5em 1em;
+    border: 1px solid #ddb;
+    padding: 7px;
+    background-color: #ffe;
+    width: 40%;
+    float: right;
+    clear: right;
+    overflow-x: auto;
+}
+
+p.sidebar-title {
+    font-weight: bold;
+}
+
+nav.contents,
+aside.topic,
+div.admonition, div.topic, blockquote {
+    clear: left;
+}
+
+/* -- topics ---------------------------------------------------------------- */
+
+nav.contents,
+aside.topic,
+div.topic {
+    border: 1px solid #ccc;
+    padding: 7px;
+    margin: 10px 0 10px 0;
+}
+
+p.topic-title {
+    font-size: 1.1em;
+    font-weight: bold;
+    margin-top: 10px;
+}
+
+/* -- admonitions ----------------------------------------------------------- */
+
+div.admonition {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    padding: 7px;
+}
+
+div.admonition dt {
+    font-weight: bold;
+}
+
+p.admonition-title {
+    margin: 0px 10px 5px 0px;
+    font-weight: bold;
+}
+
+div.body p.centered {
+    text-align: center;
+    margin-top: 25px;
+}
+
+/* -- content of sidebars/topics/admonitions -------------------------------- */
+
+div.sidebar > :last-child,
+aside.sidebar > :last-child,
+nav.contents > :last-child,
+aside.topic > :last-child,
+div.topic > :last-child,
+div.admonition > :last-child {
+    margin-bottom: 0;
+}
+
+div.sidebar::after,
+aside.sidebar::after,
+nav.contents::after,
+aside.topic::after,
+div.topic::after,
+div.admonition::after,
+blockquote::after {
+    display: block;
+    content: '';
+    clear: both;
+}
+
+/* -- tables ---------------------------------------------------------------- */
+
+table.docutils {
+    margin-top: 10px;
+    margin-bottom: 10px;
+    border: 0;
+    border-collapse: collapse;
+}
+
+table.align-center {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table.align-default {
+    margin-left: auto;
+    margin-right: auto;
+}
+
+table caption span.caption-number {
+    font-style: italic;
+}
+
+table caption span.caption-text {
+}
+
+table.docutils td, table.docutils th {
+    padding: 1px 8px 1px 5px;
+    border-top: 0;
+    border-left: 0;
+    border-right: 0;
+    border-bottom: 1px solid #aaa;
+}
+
+th {
+    text-align: left;
+    padding-right: 5px;
+}
+
+table.citation {
+    border-left: solid 1px gray;
+    margin-left: 1px;
+}
+
+table.citation td {
+    border-bottom: none;
+}
+
+th > :first-child,
+td > :first-child {
+    margin-top: 0px;
+}
+
+th > :last-child,
+td > :last-child {
+    margin-bottom: 0px;
+}
+
+/* -- figures --------------------------------------------------------------- */
+
+div.figure, figure {
+    margin: 0.5em;
+    padding: 0.5em;
+}
+
+div.figure p.caption, figcaption {
+    padding: 0.3em;
+}
+
+div.figure p.caption span.caption-number,
+figcaption span.caption-number {
+    font-style: italic;
+}
+
+div.figure p.caption span.caption-text,
+figcaption span.caption-text {
+}
+
+/* -- field list styles ----------------------------------------------------- */
+
+table.field-list td, table.field-list th {
+    border: 0 !important;
+}
+
+.field-list ul {
+    margin: 0;
+    padding-left: 1em;
+}
+
+.field-list p {
+    margin: 0;
+}
+
+.field-name {
+    -moz-hyphens: manual;
+    -ms-hyphens: manual;
+    -webkit-hyphens: manual;
+    hyphens: manual;
+}
+
+/* -- hlist styles ---------------------------------------------------------- */
+
+table.hlist {
+    margin: 1em 0;
+}
+
+table.hlist td {
+    vertical-align: top;
+}
+
+/* -- object description styles --------------------------------------------- */
+
+.sig {
+	font-family: 'Consolas', 'Menlo', 'DejaVu Sans Mono', 'Bitstream Vera Sans Mono', monospace;
+}
+
+.sig-name, code.descname {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+.sig-name {
+	font-size: 1.1em;
+}
+
+code.descname {
+    font-size: 1.2em;
+}
+
+.sig-prename, code.descclassname {
+    background-color: transparent;
+}
+
+.optional {
+    font-size: 1.3em;
+}
+
+.sig-paren {
+    font-size: larger;
+}
+
+.sig-param.n {
+	font-style: italic;
+}
+
+/* C++ specific styling */
+
+.sig-inline.c-texpr,
+.sig-inline.cpp-texpr {
+	font-family: unset;
+}
+
+.sig.c   .k, .sig.c   .kt,
+.sig.cpp .k, .sig.cpp .kt {
+	color: #0033B3;
+}
+
+.sig.c   .m,
+.sig.cpp .m {
+	color: #1750EB;
+}
+
+.sig.c   .s, .sig.c   .sc,
+.sig.cpp .s, .sig.cpp .sc {
+	color: #067D17;
+}
+
+
+/* -- other body styles ----------------------------------------------------- */
+
+ol.arabic {
+    list-style: decimal;
+}
+
+ol.loweralpha {
+    list-style: lower-alpha;
+}
+
+ol.upperalpha {
+    list-style: upper-alpha;
+}
+
+ol.lowerroman {
+    list-style: lower-roman;
+}
+
+ol.upperroman {
+    list-style: upper-roman;
+}
+
+:not(li) > ol > li:first-child > :first-child,
+:not(li) > ul > li:first-child > :first-child {
+    margin-top: 0px;
+}
+
+:not(li) > ol > li:last-child > :last-child,
+:not(li) > ul > li:last-child > :last-child {
+    margin-bottom: 0px;
+}
+
+ol.simple ol p,
+ol.simple ul p,
+ul.simple ol p,
+ul.simple ul p {
+    margin-top: 0;
+}
+
+ol.simple > li:not(:first-child) > p,
+ul.simple > li:not(:first-child) > p {
+    margin-top: 0;
+}
+
+ol.simple p,
+ul.simple p {
+    margin-bottom: 0;
+}
+
+aside.footnote > span,
+div.citation > span {
+    float: left;
+}
+aside.footnote > span:last-of-type,
+div.citation > span:last-of-type {
+  padding-right: 0.5em;
+}
+aside.footnote > p {
+  margin-left: 2em;
+}
+div.citation > p {
+  margin-left: 4em;
+}
+aside.footnote > p:last-of-type,
+div.citation > p:last-of-type {
+    margin-bottom: 0em;
+}
+aside.footnote > p:last-of-type:after,
+div.citation > p:last-of-type:after {
+    content: "";
+    clear: both;
+}
+
+dl.field-list {
+    display: grid;
+    grid-template-columns: fit-content(30%) auto;
+}
+
+dl.field-list > dt {
+    font-weight: bold;
+    word-break: break-word;
+    padding-left: 0.5em;
+    padding-right: 5px;
+}
+
+dl.field-list > dd {
+    padding-left: 0.5em;
+    margin-top: 0em;
+    margin-left: 0em;
+    margin-bottom: 0em;
+}
+
+dl {
+    margin-bottom: 15px;
+}
+
+dd > :first-child {
+    margin-top: 0px;
+}
+
+dd ul, dd table {
+    margin-bottom: 10px;
+}
+
+dd {
+    margin-top: 3px;
+    margin-bottom: 10px;
+    margin-left: 30px;
+}
+
+.sig dd {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
+.sig dl {
+    margin-top: 0px;
+    margin-bottom: 0px;
+}
+
+dl > dd:last-child,
+dl > dd:last-child > :last-child {
+    margin-bottom: 0;
+}
+
+dt:target, span.highlighted {
+    background-color: #fbe54e;
+}
+
+rect.highlighted {
+    fill: #fbe54e;
+}
+
+dl.glossary dt {
+    font-weight: bold;
+    font-size: 1.1em;
+}
+
+.versionmodified {
+    font-style: italic;
+}
+
+.system-message {
+    background-color: #fda;
+    padding: 5px;
+    border: 3px solid red;
+}
+
+.footnote:target  {
+    background-color: #ffa;
+}
+
+.line-block {
+    display: block;
+    margin-top: 1em;
+    margin-bottom: 1em;
+}
+
+.line-block .line-block {
+    margin-top: 0;
+    margin-bottom: 0;
+    margin-left: 1.5em;
+}
+
+.guilabel, .menuselection {
+    font-family: sans-serif;
+}
+
+.accelerator {
+    text-decoration: underline;
+}
+
+.classifier {
+    font-style: oblique;
+}
+
+.classifier:before {
+    font-style: normal;
+    margin: 0 0.5em;
+    content: ":";
+    display: inline-block;
+}
+
+abbr, acronym {
+    border-bottom: dotted 1px;
+    cursor: help;
+}
+
+.translated {
+    background-color: rgba(207, 255, 207, 0.2)
+}
+
+.untranslated {
+    background-color: rgba(255, 207, 207, 0.2)
+}
+
+/* -- code displays --------------------------------------------------------- */
+
+pre {
+    overflow: auto;
+    overflow-y: hidden;  /* fixes display issues on Chrome browsers */
+}
+
+pre, div[class*="highlight-"] {
+    clear: both;
+}
+
+span.pre {
+    -moz-hyphens: none;
+    -ms-hyphens: none;
+    -webkit-hyphens: none;
+    hyphens: none;
+    white-space: nowrap;
+}
+
+div[class*="highlight-"] {
+    margin: 1em 0;
+}
+
+td.linenos pre {
+    border: 0;
+    background-color: transparent;
+    color: #aaa;
+}
+
+table.highlighttable {
+    display: block;
+}
+
+table.highlighttable tbody {
+    display: block;
+}
+
+table.highlighttable tr {
+    display: flex;
+}
+
+table.highlighttable td {
+    margin: 0;
+    padding: 0;
+}
+
+table.highlighttable td.linenos {
+    padding-right: 0.5em;
+}
+
+table.highlighttable td.code {
+    flex: 1;
+    overflow: hidden;
+}
+
+.highlight .hll {
+    display: block;
+}
+
+div.highlight pre,
+table.highlighttable pre {
+    margin: 0;
+}
+
+div.code-block-caption + div {
+    margin-top: 0;
+}
+
+div.code-block-caption {
+    margin-top: 1em;
+    padding: 2px 5px;
+    font-size: small;
+}
+
+div.code-block-caption code {
+    background-color: transparent;
+}
+
+table.highlighttable td.linenos,
+span.linenos,
+div.highlight span.gp {  /* gp: Generic.Prompt */
+  user-select: none;
+  -webkit-user-select: text; /* Safari fallback only */
+  -webkit-user-select: none; /* Chrome/Safari */
+  -moz-user-select: none; /* Firefox */
+  -ms-user-select: none; /* IE10+ */
+}
+
+div.code-block-caption span.caption-number {
+    padding: 0.1em 0.3em;
+    font-style: italic;
+}
+
+div.code-block-caption span.caption-text {
+}
+
+div.literal-block-wrapper {
+    margin: 1em 0;
+}
+
+code.xref, a code {
+    background-color: transparent;
+    font-weight: bold;
+}
+
+h1 code, h2 code, h3 code, h4 code, h5 code, h6 code {
+    background-color: transparent;
+}
+
+.viewcode-link {
+    float: right;
+}
+
+.viewcode-back {
+    float: right;
+    font-family: sans-serif;
+}
+
+div.viewcode-block:target {
+    margin: -1px -10px;
+    padding: 0 10px;
+}
+
+/* -- math display ---------------------------------------------------------- */
+
+img.math {
+    vertical-align: middle;
+}
+
+div.body div.math p {
+    text-align: center;
+}
+
+span.eqno {
+    float: right;
+}
+
+span.eqno a.headerlink {
+    position: absolute;
+    z-index: 1;
+}
+
+div.math:hover a.headerlink {
+    visibility: visible;
+}
+
+/* -- printout stylesheet --------------------------------------------------- */
+
+@media print {
+    div.document,
+    div.documentwrapper,
+    div.bodywrapper {
+        margin: 0 !important;
+        width: 100%;
+    }
+
+    div.sphinxsidebar,
+    div.related,
+    div.footer,
+    #top-link {
+        display: none;
+    }
+}
\ No newline at end of file
diff --git a/docs/python-documentation/_static/debug.css b/docs/python-documentation/_static/debug.css
new file mode 100644
index 00000000..74d4aec3
--- /dev/null
+++ b/docs/python-documentation/_static/debug.css
@@ -0,0 +1,69 @@
+/*
+  This CSS file should be overridden by the theme authors. It's
+  meant for debugging and developing the skeleton that this theme provides.
+*/
+body {
+  font-family: -apple-system, "Segoe UI", Roboto, Helvetica, Arial, sans-serif,
+    "Apple Color Emoji", "Segoe UI Emoji";
+  background: lavender;
+}
+.sb-announcement {
+  background: rgb(131, 131, 131);
+}
+.sb-announcement__inner {
+  background: black;
+  color: white;
+}
+.sb-header {
+  background: lightskyblue;
+}
+.sb-header__inner {
+  background: royalblue;
+  color: white;
+}
+.sb-header-secondary {
+  background: lightcyan;
+}
+.sb-header-secondary__inner {
+  background: cornflowerblue;
+  color: white;
+}
+.sb-sidebar-primary {
+  background: lightgreen;
+}
+.sb-main {
+  background: blanchedalmond;
+}
+.sb-main__inner {
+  background: antiquewhite;
+}
+.sb-header-article {
+  background: lightsteelblue;
+}
+.sb-article-container {
+  background: snow;
+}
+.sb-article-main {
+  background: white;
+}
+.sb-footer-article {
+  background: lightpink;
+}
+.sb-sidebar-secondary {
+  background: lightgoldenrodyellow;
+}
+.sb-footer-content {
+  background: plum;
+}
+.sb-footer-content__inner {
+  background: palevioletred;
+}
+.sb-footer {
+  background: pink;
+}
+.sb-footer__inner {
+  background: salmon;
+}
+.sb-article {
+  background: white;
+}
diff --git a/docs/python-documentation/_static/doctools.js b/docs/python-documentation/_static/doctools.js
new file mode 100644
index 00000000..d06a71d7
--- /dev/null
+++ b/docs/python-documentation/_static/doctools.js
@@ -0,0 +1,156 @@
+/*
+ * doctools.js
+ * ~~~~~~~~~~~
+ *
+ * Base JavaScript utilities for all Sphinx HTML documentation.
+ *
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+"use strict";
+
+const BLACKLISTED_KEY_CONTROL_ELEMENTS = new Set([
+  "TEXTAREA",
+  "INPUT",
+  "SELECT",
+  "BUTTON",
+]);
+
+const _ready = (callback) => {
+  if (document.readyState !== "loading") {
+    callback();
+  } else {
+    document.addEventListener("DOMContentLoaded", callback);
+  }
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const Documentation = {
+  init: () => {
+    Documentation.initDomainIndexTable();
+    Documentation.initOnKeyListeners();
+  },
+
+  /**
+   * i18n support
+   */
+  TRANSLATIONS: {},
+  PLURAL_EXPR: (n) => (n === 1 ? 0 : 1),
+  LOCALE: "unknown",
+
+  // gettext and ngettext don't access this so that the functions
+  // can safely bound to a different name (_ = Documentation.gettext)
+  gettext: (string) => {
+    const translated = Documentation.TRANSLATIONS[string];
+    switch (typeof translated) {
+      case "undefined":
+        return string; // no translation
+      case "string":
+        return translated; // translation exists
+      default:
+        return translated[0]; // (singular, plural) translation tuple exists
+    }
+  },
+
+  ngettext: (singular, plural, n) => {
+    const translated = Documentation.TRANSLATIONS[singular];
+    if (typeof translated !== "undefined")
+      return translated[Documentation.PLURAL_EXPR(n)];
+    return n === 1 ? singular : plural;
+  },
+
+  addTranslations: (catalog) => {
+    Object.assign(Documentation.TRANSLATIONS, catalog.messages);
+    Documentation.PLURAL_EXPR = new Function(
+      "n",
+      `return (${catalog.plural_expr})`
+    );
+    Documentation.LOCALE = catalog.locale;
+  },
+
+  /**
+   * helper function to focus on search bar
+   */
+  focusSearchBar: () => {
+    document.querySelectorAll("input[name=q]")[0]?.focus();
+  },
+
+  /**
+   * Initialise the domain index toggle buttons
+   */
+  initDomainIndexTable: () => {
+    const toggler = (el) => {
+      const idNumber = el.id.substr(7);
+      const toggledRows = document.querySelectorAll(`tr.cg-${idNumber}`);
+      if (el.src.substr(-9) === "minus.png") {
+        el.src = `${el.src.substr(0, el.src.length - 9)}plus.png`;
+        toggledRows.forEach((el) => (el.style.display = "none"));
+      } else {
+        el.src = `${el.src.substr(0, el.src.length - 8)}minus.png`;
+        toggledRows.forEach((el) => (el.style.display = ""));
+      }
+    };
+
+    const togglerElements = document.querySelectorAll("img.toggler");
+    togglerElements.forEach((el) =>
+      el.addEventListener("click", (event) => toggler(event.currentTarget))
+    );
+    togglerElements.forEach((el) => (el.style.display = ""));
+    if (DOCUMENTATION_OPTIONS.COLLAPSE_INDEX) togglerElements.forEach(toggler);
+  },
+
+  initOnKeyListeners: () => {
+    // only install a listener if it is really needed
+    if (
+      !DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS &&
+      !DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS
+    )
+      return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.altKey || event.ctrlKey || event.metaKey) return;
+
+      if (!event.shiftKey) {
+        switch (event.key) {
+          case "ArrowLeft":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const prevLink = document.querySelector('link[rel="prev"]');
+            if (prevLink && prevLink.href) {
+              window.location.href = prevLink.href;
+              event.preventDefault();
+            }
+            break;
+          case "ArrowRight":
+            if (!DOCUMENTATION_OPTIONS.NAVIGATION_WITH_KEYS) break;
+
+            const nextLink = document.querySelector('link[rel="next"]');
+            if (nextLink && nextLink.href) {
+              window.location.href = nextLink.href;
+              event.preventDefault();
+            }
+            break;
+        }
+      }
+
+      // some keyboard layouts may need Shift to get /
+      switch (event.key) {
+        case "/":
+          if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) break;
+          Documentation.focusSearchBar();
+          event.preventDefault();
+      }
+    });
+  },
+};
+
+// quick alias for translations
+const _ = Documentation.gettext;
+
+_ready(Documentation.init);
diff --git a/docs/python-documentation/_static/documentation_options.js b/docs/python-documentation/_static/documentation_options.js
new file mode 100644
index 00000000..ac431fff
--- /dev/null
+++ b/docs/python-documentation/_static/documentation_options.js
@@ -0,0 +1,14 @@
+var DOCUMENTATION_OPTIONS = {
+    URL_ROOT: document.getElementById("documentation_options").getAttribute('data-url_root'),
+    VERSION: '0.0.1',
+    LANGUAGE: 'en',
+    COLLAPSE_INDEX: false,
+    BUILDER: 'html',
+    FILE_SUFFIX: '.html',
+    LINK_SUFFIX: '.html',
+    HAS_SOURCE: true,
+    SOURCELINK_SUFFIX: '.txt',
+    NAVIGATION_WITH_KEYS: false,
+    SHOW_SEARCH_SUMMARY: true,
+    ENABLE_SEARCH_SHORTCUTS: true,
+};
\ No newline at end of file
diff --git a/docs/python-documentation/_static/file.png b/docs/python-documentation/_static/file.png
new file mode 100644
index 0000000000000000000000000000000000000000..a858a410e4faa62ce324d814e4b816fff83a6fb3
GIT binary patch
diff --git a/docs/python-documentation/_static/language_data.js b/docs/python-documentation/_static/language_data.js
new file mode 100644
index 00000000..250f5665
--- /dev/null
+++ b/docs/python-documentation/_static/language_data.js
@@ -0,0 +1,199 @@
+/*
+ * language_data.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * This script contains the language-specific data used by searchtools.js,
+ * namely the list of stopwords, stemmer, scorer and splitter.
+ *
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+
+var stopwords = ["a", "and", "are", "as", "at", "be", "but", "by", "for", "if", "in", "into", "is", "it", "near", "no", "not", "of", "on", "or", "such", "that", "the", "their", "then", "there", "these", "they", "this", "to", "was", "will", "with"];
+
+
+/* Non-minified version is copied as a separate JS file, is available */
+
+/**
+ * Porter Stemmer
+ */
+var Stemmer = function() {
+
+  var step2list = {
+    ational: 'ate',
+    tional: 'tion',
+    enci: 'ence',
+    anci: 'ance',
+    izer: 'ize',
+    bli: 'ble',
+    alli: 'al',
+    entli: 'ent',
+    eli: 'e',
+    ousli: 'ous',
+    ization: 'ize',
+    ation: 'ate',
+    ator: 'ate',
+    alism: 'al',
+    iveness: 'ive',
+    fulness: 'ful',
+    ousness: 'ous',
+    aliti: 'al',
+    iviti: 'ive',
+    biliti: 'ble',
+    logi: 'log'
+  };
+
+  var step3list = {
+    icate: 'ic',
+    ative: '',
+    alize: 'al',
+    iciti: 'ic',
+    ical: 'ic',
+    ful: '',
+    ness: ''
+  };
+
+  var c = "[^aeiou]";          // consonant
+  var v = "[aeiouy]";          // vowel
+  var C = c + "[^aeiouy]*";    // consonant sequence
+  var V = v + "[aeiou]*";      // vowel sequence
+
+  var mgr0 = "^(" + C + ")?" + V + C;                      // [C]VC... is m>0
+  var meq1 = "^(" + C + ")?" + V + C + "(" + V + ")?$";    // [C]VC[V] is m=1
+  var mgr1 = "^(" + C + ")?" + V + C + V + C;              // [C]VCVC... is m>1
+  var s_v   = "^(" + C + ")?" + v;                         // vowel in stem
+
+  this.stemWord = function (w) {
+    var stem;
+    var suffix;
+    var firstch;
+    var origword = w;
+
+    if (w.length < 3)
+      return w;
+
+    var re;
+    var re2;
+    var re3;
+    var re4;
+
+    firstch = w.substr(0,1);
+    if (firstch == "y")
+      w = firstch.toUpperCase() + w.substr(1);
+
+    // Step 1a
+    re = /^(.+?)(ss|i)es$/;
+    re2 = /^(.+?)([^s])s$/;
+
+    if (re.test(w))
+      w = w.replace(re,"$1$2");
+    else if (re2.test(w))
+      w = w.replace(re2,"$1$2");
+
+    // Step 1b
+    re = /^(.+?)eed$/;
+    re2 = /^(.+?)(ed|ing)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      re = new RegExp(mgr0);
+      if (re.test(fp[1])) {
+        re = /.$/;
+        w = w.replace(re,"");
+      }
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1];
+      re2 = new RegExp(s_v);
+      if (re2.test(stem)) {
+        w = stem;
+        re2 = /(at|bl|iz)$/;
+        re3 = new RegExp("([^aeiouylsz])\\1$");
+        re4 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+        if (re2.test(w))
+          w = w + "e";
+        else if (re3.test(w)) {
+          re = /.$/;
+          w = w.replace(re,"");
+        }
+        else if (re4.test(w))
+          w = w + "e";
+      }
+    }
+
+    // Step 1c
+    re = /^(.+?)y$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(s_v);
+      if (re.test(stem))
+        w = stem + "i";
+    }
+
+    // Step 2
+    re = /^(.+?)(ational|tional|enci|anci|izer|bli|alli|entli|eli|ousli|ization|ation|ator|alism|iveness|fulness|ousness|aliti|iviti|biliti|logi)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step2list[suffix];
+    }
+
+    // Step 3
+    re = /^(.+?)(icate|ative|alize|iciti|ical|ful|ness)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      suffix = fp[2];
+      re = new RegExp(mgr0);
+      if (re.test(stem))
+        w = stem + step3list[suffix];
+    }
+
+    // Step 4
+    re = /^(.+?)(al|ance|ence|er|ic|able|ible|ant|ement|ment|ent|ou|ism|ate|iti|ous|ive|ize)$/;
+    re2 = /^(.+?)(s|t)(ion)$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      if (re.test(stem))
+        w = stem;
+    }
+    else if (re2.test(w)) {
+      var fp = re2.exec(w);
+      stem = fp[1] + fp[2];
+      re2 = new RegExp(mgr1);
+      if (re2.test(stem))
+        w = stem;
+    }
+
+    // Step 5
+    re = /^(.+?)e$/;
+    if (re.test(w)) {
+      var fp = re.exec(w);
+      stem = fp[1];
+      re = new RegExp(mgr1);
+      re2 = new RegExp(meq1);
+      re3 = new RegExp("^" + C + v + "[^aeiouwxy]$");
+      if (re.test(stem) || (re2.test(stem) && !(re3.test(stem))))
+        w = stem;
+    }
+    re = /ll$/;
+    re2 = new RegExp(mgr1);
+    if (re.test(w) && re2.test(w)) {
+      re = /.$/;
+      w = w.replace(re,"");
+    }
+
+    // and turn initial Y back to y
+    if (firstch == "y")
+      w = firstch.toLowerCase() + w.substr(1);
+    return w;
+  }
+}
+
diff --git a/docs/python-documentation/_static/minus.png b/docs/python-documentation/_static/minus.png
new file mode 100644
index 0000000000000000000000000000000000000000..d96755fdaf8bb2214971e0db9c1fd3077d7c419d
GIT binary patch
diff --git a/docs/python-documentation/_static/plus.png b/docs/python-documentation/_static/plus.png
new file mode 100644
index 0000000000000000000000000000000000000000..7107cec93a979b9a5f64843235a16651d563ce2d
GIT binary patch
diff --git a/docs/python-documentation/_static/pygments.css b/docs/python-documentation/_static/pygments.css
new file mode 100644
index 00000000..02b4b128
--- /dev/null
+++ b/docs/python-documentation/_static/pygments.css
@@ -0,0 +1,258 @@
+.highlight pre { line-height: 125%; }
+.highlight td.linenos .normal { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+.highlight span.linenos { color: inherit; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+.highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+.highlight .hll { background-color: #ffffcc }
+.highlight { background: #f8f8f8; }
+.highlight .c { color: #8f5902; font-style: italic } /* Comment */
+.highlight .err { color: #a40000; border: 1px solid #ef2929 } /* Error */
+.highlight .g { color: #000000 } /* Generic */
+.highlight .k { color: #204a87; font-weight: bold } /* Keyword */
+.highlight .l { color: #000000 } /* Literal */
+.highlight .n { color: #000000 } /* Name */
+.highlight .o { color: #ce5c00; font-weight: bold } /* Operator */
+.highlight .x { color: #000000 } /* Other */
+.highlight .p { color: #000000; font-weight: bold } /* Punctuation */
+.highlight .ch { color: #8f5902; font-style: italic } /* Comment.Hashbang */
+.highlight .cm { color: #8f5902; font-style: italic } /* Comment.Multiline */
+.highlight .cp { color: #8f5902; font-style: italic } /* Comment.Preproc */
+.highlight .cpf { color: #8f5902; font-style: italic } /* Comment.PreprocFile */
+.highlight .c1 { color: #8f5902; font-style: italic } /* Comment.Single */
+.highlight .cs { color: #8f5902; font-style: italic } /* Comment.Special */
+.highlight .gd { color: #a40000 } /* Generic.Deleted */
+.highlight .ge { color: #000000; font-style: italic } /* Generic.Emph */
+.highlight .ges { color: #000000; font-weight: bold; font-style: italic } /* Generic.EmphStrong */
+.highlight .gr { color: #ef2929 } /* Generic.Error */
+.highlight .gh { color: #000080; font-weight: bold } /* Generic.Heading */
+.highlight .gi { color: #00A000 } /* Generic.Inserted */
+.highlight .go { color: #000000; font-style: italic } /* Generic.Output */
+.highlight .gp { color: #8f5902 } /* Generic.Prompt */
+.highlight .gs { color: #000000; font-weight: bold } /* Generic.Strong */
+.highlight .gu { color: #800080; font-weight: bold } /* Generic.Subheading */
+.highlight .gt { color: #a40000; font-weight: bold } /* Generic.Traceback */
+.highlight .kc { color: #204a87; font-weight: bold } /* Keyword.Constant */
+.highlight .kd { color: #204a87; font-weight: bold } /* Keyword.Declaration */
+.highlight .kn { color: #204a87; font-weight: bold } /* Keyword.Namespace */
+.highlight .kp { color: #204a87; font-weight: bold } /* Keyword.Pseudo */
+.highlight .kr { color: #204a87; font-weight: bold } /* Keyword.Reserved */
+.highlight .kt { color: #204a87; font-weight: bold } /* Keyword.Type */
+.highlight .ld { color: #000000 } /* Literal.Date */
+.highlight .m { color: #0000cf; font-weight: bold } /* Literal.Number */
+.highlight .s { color: #4e9a06 } /* Literal.String */
+.highlight .na { color: #c4a000 } /* Name.Attribute */
+.highlight .nb { color: #204a87 } /* Name.Builtin */
+.highlight .nc { color: #000000 } /* Name.Class */
+.highlight .no { color: #000000 } /* Name.Constant */
+.highlight .nd { color: #5c35cc; font-weight: bold } /* Name.Decorator */
+.highlight .ni { color: #ce5c00 } /* Name.Entity */
+.highlight .ne { color: #cc0000; font-weight: bold } /* Name.Exception */
+.highlight .nf { color: #000000 } /* Name.Function */
+.highlight .nl { color: #f57900 } /* Name.Label */
+.highlight .nn { color: #000000 } /* Name.Namespace */
+.highlight .nx { color: #000000 } /* Name.Other */
+.highlight .py { color: #000000 } /* Name.Property */
+.highlight .nt { color: #204a87; font-weight: bold } /* Name.Tag */
+.highlight .nv { color: #000000 } /* Name.Variable */
+.highlight .ow { color: #204a87; font-weight: bold } /* Operator.Word */
+.highlight .pm { color: #000000; font-weight: bold } /* Punctuation.Marker */
+.highlight .w { color: #f8f8f8 } /* Text.Whitespace */
+.highlight .mb { color: #0000cf; font-weight: bold } /* Literal.Number.Bin */
+.highlight .mf { color: #0000cf; font-weight: bold } /* Literal.Number.Float */
+.highlight .mh { color: #0000cf; font-weight: bold } /* Literal.Number.Hex */
+.highlight .mi { color: #0000cf; font-weight: bold } /* Literal.Number.Integer */
+.highlight .mo { color: #0000cf; font-weight: bold } /* Literal.Number.Oct */
+.highlight .sa { color: #4e9a06 } /* Literal.String.Affix */
+.highlight .sb { color: #4e9a06 } /* Literal.String.Backtick */
+.highlight .sc { color: #4e9a06 } /* Literal.String.Char */
+.highlight .dl { color: #4e9a06 } /* Literal.String.Delimiter */
+.highlight .sd { color: #8f5902; font-style: italic } /* Literal.String.Doc */
+.highlight .s2 { color: #4e9a06 } /* Literal.String.Double */
+.highlight .se { color: #4e9a06 } /* Literal.String.Escape */
+.highlight .sh { color: #4e9a06 } /* Literal.String.Heredoc */
+.highlight .si { color: #4e9a06 } /* Literal.String.Interpol */
+.highlight .sx { color: #4e9a06 } /* Literal.String.Other */
+.highlight .sr { color: #4e9a06 } /* Literal.String.Regex */
+.highlight .s1 { color: #4e9a06 } /* Literal.String.Single */
+.highlight .ss { color: #4e9a06 } /* Literal.String.Symbol */
+.highlight .bp { color: #3465a4 } /* Name.Builtin.Pseudo */
+.highlight .fm { color: #000000 } /* Name.Function.Magic */
+.highlight .vc { color: #000000 } /* Name.Variable.Class */
+.highlight .vg { color: #000000 } /* Name.Variable.Global */
+.highlight .vi { color: #000000 } /* Name.Variable.Instance */
+.highlight .vm { color: #000000 } /* Name.Variable.Magic */
+.highlight .il { color: #0000cf; font-weight: bold } /* Literal.Number.Integer.Long */
+@media not print {
+body[data-theme="dark"] .highlight pre { line-height: 125%; }
+body[data-theme="dark"] .highlight td.linenos .normal { color: #aaaaaa; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+body[data-theme="dark"] .highlight span.linenos { color: #aaaaaa; background-color: transparent; padding-left: 5px; padding-right: 5px; }
+body[data-theme="dark"] .highlight td.linenos .special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+body[data-theme="dark"] .highlight span.linenos.special { color: #000000; background-color: #ffffc0; padding-left: 5px; padding-right: 5px; }
+body[data-theme="dark"] .highlight .hll { background-color: #404040 }
+body[data-theme="dark"] .highlight { background: #202020; color: #d0d0d0 }
+body[data-theme="dark"] .highlight .c { color: #ababab; font-style: italic } /* Comment */
+body[data-theme="dark"] .highlight .err { color: #a61717; background-color: #e3d2d2 } /* Error */
+body[data-theme="dark"] .highlight .esc { color: #d0d0d0 } /* Escape */
+body[data-theme="dark"] .highlight .g { color: #d0d0d0 } /* Generic */
+body[data-theme="dark"] .highlight .k { color: #6ebf26; font-weight: bold } /* Keyword */
+body[data-theme="dark"] .highlight .l { color: #d0d0d0 } /* Literal */
+body[data-theme="dark"] .highlight .n { color: #d0d0d0 } /* Name */
+body[data-theme="dark"] .highlight .o { color: #d0d0d0 } /* Operator */
+body[data-theme="dark"] .highlight .x { color: #d0d0d0 } /* Other */
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diff --git a/docs/python-documentation/_static/scripts/furo-extensions.js b/docs/python-documentation/_static/scripts/furo-extensions.js
new file mode 100644
index 00000000..e69de29b
diff --git a/docs/python-documentation/_static/scripts/furo.js b/docs/python-documentation/_static/scripts/furo.js
new file mode 100644
index 00000000..0267c7e1
--- /dev/null
+++ b/docs/python-documentation/_static/scripts/furo.js
@@ -0,0 +1,3 @@
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get default export","webpack:///webpack/runtime/define property getters","webpack:///webpack/runtime/global","webpack:///webpack/runtime/hasOwnProperty shorthand","webpack:///./src/furo/assets/scripts/furo.js"],"sourcesContent":["/*!\n * gumshoejs v5.1.2 (patched by @pradyunsg)\n * A simple, framework-agnostic scrollspy script.\n * (c) 2019 Chris Ferdinandi\n * MIT License\n * http://github.com/cferdinandi/gumshoe\n */\n\n(function (root, factory) {\n  if (typeof define === \"function\" && define.amd) {\n    define([], function () {\n      return factory(root);\n    });\n  } else if (typeof exports === \"object\") {\n    module.exports = factory(root);\n  } else {\n    root.Gumshoe = factory(root);\n  }\n})(\n  typeof global !== \"undefined\"\n    ? global\n    : typeof window !== \"undefined\"\n      ? window\n      : this,\n  function (window) {\n    \"use strict\";\n\n    //\n    // Defaults\n    //\n\n    var defaults = {\n      // Active classes\n      navClass: \"active\",\n      contentClass: \"active\",\n\n      // Nested navigation\n      nested: false,\n      nestedClass: \"active\",\n\n      // Offset & reflow\n      offset: 0,\n      reflow: false,\n\n      // Event support\n      events: true,\n    };\n\n    //\n    // Methods\n    //\n\n    /**\n     * Merge two or more objects together.\n     * @param   {Object}   objects  The objects to merge together\n     * @returns {Object}            Merged values of defaults and options\n     */\n    var extend = function () {\n      var merged = {};\n      Array.prototype.forEach.call(arguments, function (obj) {\n        for (var key in obj) {\n          if (!obj.hasOwnProperty(key)) return;\n          merged[key] = obj[key];\n        }\n      });\n      return merged;\n    };\n\n    /**\n     * Emit a custom event\n     * @param  {String} type   The event type\n     * @param  {Node}   elem   The element to attach the event to\n     * @param  {Object} detail Any details to pass along with the event\n     */\n    var emitEvent = function (type, elem, detail) {\n      // Make sure events are enabled\n      if (!detail.settings.events) return;\n\n      // Create a new event\n      var event = new CustomEvent(type, {\n        bubbles: true,\n        cancelable: true,\n        detail: detail,\n      });\n\n      // Dispatch the event\n      elem.dispatchEvent(event);\n    };\n\n    /**\n     * Get an element's distance from the top of the Document.\n     * @param  {Node} elem The element\n     * @return {Number}    Distance from the top in pixels\n     */\n    var getOffsetTop = function (elem) {\n      var location = 0;\n      if (elem.offsetParent) {\n        while (elem) {\n          location += elem.offsetTop;\n          elem = elem.offsetParent;\n        }\n      }\n      return location >= 0 ? location : 0;\n    };\n\n    /**\n     * Sort content from first to last in the DOM\n     * @param  {Array} contents The content areas\n     */\n    var sortContents = function (contents) {\n      if (contents) {\n        contents.sort(function (item1, item2) {\n          var offset1 = getOffsetTop(item1.content);\n          var offset2 = getOffsetTop(item2.content);\n          if (offset1 < offset2) return -1;\n          return 1;\n        });\n      }\n    };\n\n    /**\n     * Get the offset to use for calculating position\n     * @param  {Object} settings The settings for this instantiation\n     * @return {Float}           The number of pixels to offset the calculations\n     */\n    var getOffset = function (settings) {\n      // if the offset is a function run it\n      if (typeof settings.offset === \"function\") {\n        return parseFloat(settings.offset());\n      }\n\n      // Otherwise, return it as-is\n      return parseFloat(settings.offset);\n    };\n\n    /**\n     * Get the document element's height\n     * @private\n     * @returns {Number}\n     */\n    var getDocumentHeight = function () {\n      return Math.max(\n        document.body.scrollHeight,\n        document.documentElement.scrollHeight,\n        document.body.offsetHeight,\n        document.documentElement.offsetHeight,\n        document.body.clientHeight,\n        document.documentElement.clientHeight,\n      );\n    };\n\n    /**\n     * Determine if an element is in view\n     * @param  {Node}    elem     The element\n     * @param  {Object}  settings The settings for this instantiation\n     * @param  {Boolean} bottom   If true, check if element is above bottom of viewport instead\n     * @return {Boolean}          Returns true if element is in the viewport\n     */\n    var isInView = function (elem, settings, bottom) {\n      var bounds = elem.getBoundingClientRect();\n      var offset = getOffset(settings);\n      if (bottom) {\n        return (\n          parseInt(bounds.bottom, 10) <\n          (window.innerHeight || document.documentElement.clientHeight)\n        );\n      }\n      return parseInt(bounds.top, 10) <= offset;\n    };\n\n    /**\n     * Check if at the bottom of the viewport\n     * @return {Boolean} If true, page is at the bottom of the viewport\n     */\n    var isAtBottom = function () {\n      if (\n        Math.ceil(window.innerHeight + window.pageYOffset) >=\n        getDocumentHeight()\n      )\n        return true;\n      return false;\n    };\n\n    /**\n     * Check if the last item should be used (even if not at the top of the page)\n     * @param  {Object} item     The last item\n     * @param  {Object} settings The settings for this instantiation\n     * @return {Boolean}         If true, use the last item\n     */\n    var useLastItem = function (item, settings) {\n      if (isAtBottom() && isInView(item.content, settings, true)) return true;\n      return false;\n    };\n\n    /**\n     * Get the active content\n     * @param  {Array}  contents The content areas\n     * @param  {Object} settings The settings for this instantiation\n     * @return {Object}          The content area and matching navigation link\n     */\n    var getActive = function (contents, settings) {\n      var last = contents[contents.length - 1];\n      if (useLastItem(last, settings)) return last;\n      for (var i = contents.length - 1; i >= 0; i--) {\n        if (isInView(contents[i].content, settings)) return contents[i];\n      }\n    };\n\n    /**\n     * Deactivate parent navs in a nested navigation\n     * @param  {Node}   nav      The starting navigation element\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var deactivateNested = function (nav, settings) {\n      // If nesting isn't activated, bail\n      if (!settings.nested || !nav.parentNode) return;\n\n      // Get the parent navigation\n      var li = nav.parentNode.closest(\"li\");\n      if (!li) return;\n\n      // Remove the active class\n      li.classList.remove(settings.nestedClass);\n\n      // Apply recursively to any parent navigation elements\n      deactivateNested(li, settings);\n    };\n\n    /**\n     * Deactivate a nav and content area\n     * @param  {Object} items    The nav item and content to deactivate\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var deactivate = function (items, settings) {\n      // Make sure there are items to deactivate\n      if (!items) return;\n\n      // Get the parent list item\n      var li = items.nav.closest(\"li\");\n      if (!li) return;\n\n      // Remove the active class from the nav and content\n      li.classList.remove(settings.navClass);\n      items.content.classList.remove(settings.contentClass);\n\n      // Deactivate any parent navs in a nested navigation\n      deactivateNested(li, settings);\n\n      // Emit a custom event\n      emitEvent(\"gumshoeDeactivate\", li, {\n        link: items.nav,\n        content: items.content,\n        settings: settings,\n      });\n    };\n\n    /**\n     * Activate parent navs in a nested navigation\n     * @param  {Node}   nav      The starting navigation element\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var activateNested = function (nav, settings) {\n      // If nesting isn't activated, bail\n      if (!settings.nested) return;\n\n      // Get the parent navigation\n      var li = nav.parentNode.closest(\"li\");\n      if (!li) return;\n\n      // Add the active class\n      li.classList.add(settings.nestedClass);\n\n      // Apply recursively to any parent navigation elements\n      activateNested(li, settings);\n    };\n\n    /**\n     * Activate a nav and content area\n     * @param  {Object} items    The nav item and content to activate\n     * @param  {Object} settings The settings for this instantiation\n     */\n    var activate = function (items, settings) {\n      // Make sure there are items to activate\n      if (!items) return;\n\n      // Get the parent list item\n      var li = items.nav.closest(\"li\");\n      if (!li) return;\n\n      // Add the active class to the nav and content\n      li.classList.add(settings.navClass);\n      items.content.classList.add(settings.contentClass);\n\n      // Activate any parent navs in a nested navigation\n      activateNested(li, settings);\n\n      // Emit a custom event\n      emitEvent(\"gumshoeActivate\", li, {\n        link: items.nav,\n        content: items.content,\n        settings: settings,\n      });\n    };\n\n    /**\n     * Create the Constructor object\n     * @param {String} selector The selector to use for navigation items\n     * @param {Object} options  User options and settings\n     */\n    var Constructor = function (selector, options) {\n      //\n      // Variables\n      //\n\n      var publicAPIs = {};\n      var navItems, contents, current, timeout, settings;\n\n      //\n      // Methods\n      //\n\n      /**\n       * Set variables from DOM elements\n       */\n      publicAPIs.setup = function () {\n        // Get all nav items\n        navItems = document.querySelectorAll(selector);\n\n        // Create contents array\n        contents = [];\n\n        // Loop through each item, get it's matching content, and push to the array\n        Array.prototype.forEach.call(navItems, function (item) {\n          // Get the content for the nav item\n          var content = document.getElementById(\n            decodeURIComponent(item.hash.substr(1)),\n          );\n          if (!content) return;\n\n          // Push to the contents array\n          contents.push({\n            nav: item,\n            content: content,\n          });\n        });\n\n        // Sort contents by the order they appear in the DOM\n        sortContents(contents);\n      };\n\n      /**\n       * Detect which content is currently active\n       */\n      publicAPIs.detect = function () {\n        // Get the active content\n        var active = getActive(contents, settings);\n\n        // if there's no active content, deactivate and bail\n        if (!active) {\n          if (current) {\n            deactivate(current, settings);\n            current = null;\n          }\n          return;\n        }\n\n        // If the active content is the one currently active, do nothing\n        if (current && active.content === current.content) return;\n\n        // Deactivate the current content and activate the new content\n        deactivate(current, settings);\n        activate(active, settings);\n\n        // Update the currently active content\n        current = active;\n      };\n\n      /**\n       * Detect the active content on scroll\n       * Debounced for performance\n       */\n      var scrollHandler = function (event) {\n        // If there's a timer, cancel it\n        if (timeout) {\n          window.cancelAnimationFrame(timeout);\n        }\n\n        // Setup debounce callback\n        timeout = window.requestAnimationFrame(publicAPIs.detect);\n      };\n\n      /**\n       * Update content sorting on resize\n       * Debounced for performance\n       */\n      var resizeHandler = function (event) {\n        // If there's a timer, cancel it\n        if (timeout) {\n          window.cancelAnimationFrame(timeout);\n        }\n\n        // Setup debounce callback\n        timeout = window.requestAnimationFrame(function () {\n          sortContents(contents);\n          publicAPIs.detect();\n        });\n      };\n\n      /**\n       * Destroy the current instantiation\n       */\n      publicAPIs.destroy = function () {\n        // Undo DOM changes\n        if (current) {\n          deactivate(current, settings);\n        }\n\n        // Remove event listeners\n        window.removeEventListener(\"scroll\", scrollHandler, false);\n        if (settings.reflow) {\n          window.removeEventListener(\"resize\", resizeHandler, false);\n        }\n\n        // Reset variables\n        contents = null;\n        navItems = null;\n        current = null;\n        timeout = null;\n        settings = null;\n      };\n\n      /**\n       * Initialize the current instantiation\n       */\n      var init = function () {\n        // Merge user options into defaults\n        settings = extend(defaults, options || {});\n\n        // Setup variables based on the current DOM\n        publicAPIs.setup();\n\n        // Find the currently active content\n        publicAPIs.detect();\n\n        // Setup event listeners\n        window.addEventListener(\"scroll\", scrollHandler, false);\n        if (settings.reflow) {\n          window.addEventListener(\"resize\", resizeHandler, false);\n        }\n      };\n\n      //\n      // Initialize and return the public APIs\n      //\n\n      init();\n      return publicAPIs;\n    };\n\n    //\n    // Return the Constructor\n    //\n\n    return Constructor;\n  },\n);\n","// The module cache\nvar __webpack_module_cache__ = {};\n\n// The require function\nfunction __webpack_require__(moduleId) {\n\t// Check if module is in cache\n\tvar cachedModule = __webpack_module_cache__[moduleId];\n\tif (cachedModule !== undefined) {\n\t\treturn cachedModule.exports;\n\t}\n\t// Create a new module (and put it into the cache)\n\tvar module = __webpack_module_cache__[moduleId] = {\n\t\t// no module.id needed\n\t\t// no module.loaded needed\n\t\texports: {}\n\t};\n\n\t// Execute the module function\n\t__webpack_modules__[moduleId].call(module.exports, module, module.exports, __webpack_require__);\n\n\t// Return the exports of the module\n\treturn module.exports;\n}\n\n","// getDefaultExport function for compatibility with non-harmony modules\n__webpack_require__.n = (module) => {\n\tvar getter = module && module.__esModule ?\n\t\t() => (module['default']) :\n\t\t() => (module);\n\t__webpack_require__.d(getter, { a: getter });\n\treturn getter;\n};","// define getter functions for harmony exports\n__webpack_require__.d = (exports, definition) => {\n\tfor(var key in definition) {\n\t\tif(__webpack_require__.o(definition, key) && !__webpack_require__.o(exports, key)) {\n\t\t\tObject.defineProperty(exports, key, { enumerable: true, get: definition[key] });\n\t\t}\n\t}\n};","__webpack_require__.g = (function() {\n\tif (typeof globalThis === 'object') return globalThis;\n\ttry {\n\t\treturn this || new Function('return this')();\n\t} catch (e) {\n\t\tif (typeof window === 'object') return window;\n\t}\n})();","__webpack_require__.o = (obj, prop) => (Object.prototype.hasOwnProperty.call(obj, prop))","import Gumshoe from \"./gumshoe-patched.js\";\n\n////////////////////////////////////////////////////////////////////////////////\n// Scroll Handling\n////////////////////////////////////////////////////////////////////////////////\nvar tocScroll = null;\nvar header = null;\nvar lastScrollTop = window.pageYOffset || document.documentElement.scrollTop;\nconst GO_TO_TOP_OFFSET = 64;\n\nfunction scrollHandlerForHeader() {\n  if (Math.floor(header.getBoundingClientRect().top) == 0) {\n    header.classList.add(\"scrolled\");\n  } else {\n    header.classList.remove(\"scrolled\");\n  }\n}\n\nfunction scrollHandlerForBackToTop(positionY) {\n  if (positionY < GO_TO_TOP_OFFSET) {\n    document.documentElement.classList.remove(\"show-back-to-top\");\n  } else {\n    if (positionY < lastScrollTop) {\n      document.documentElement.classList.add(\"show-back-to-top\");\n    } else if (positionY > lastScrollTop) {\n      document.documentElement.classList.remove(\"show-back-to-top\");\n    }\n  }\n  lastScrollTop = positionY;\n}\n\nfunction scrollHandlerForTOC(positionY) {\n  if (tocScroll === null) {\n    return;\n  }\n\n  // top of page.\n  if (positionY == 0) {\n    tocScroll.scrollTo(0, 0);\n  } else if (\n    // bottom of page.\n    Math.ceil(positionY) >=\n    Math.floor(document.documentElement.scrollHeight - window.innerHeight)\n  ) {\n    tocScroll.scrollTo(0, tocScroll.scrollHeight);\n  } else {\n    // somewhere in the middle.\n    const current = document.querySelector(\".scroll-current\");\n    if (current == null) {\n      return;\n    }\n\n    // https://github.com/pypa/pip/issues/9159 This breaks scroll behaviours.\n    // // scroll the currently \"active\" heading in toc, into view.\n    // const rect = current.getBoundingClientRect();\n    // if (0 > rect.top) {\n    //   current.scrollIntoView(true); // the argument is \"alignTop\"\n    // } else if (rect.bottom > window.innerHeight) {\n    //   current.scrollIntoView(false);\n    // }\n  }\n}\n\nfunction scrollHandler(positionY) {\n  scrollHandlerForHeader();\n  scrollHandlerForBackToTop(positionY);\n  scrollHandlerForTOC(positionY);\n}\n\n////////////////////////////////////////////////////////////////////////////////\n// Theme Toggle\n////////////////////////////////////////////////////////////////////////////////\nfunction setTheme(mode) {\n  if (mode !== \"light\" && mode !== \"dark\" && mode !== \"auto\") {\n    console.error(`Got invalid theme mode: ${mode}. Resetting to auto.`);\n    mode = \"auto\";\n  }\n\n  document.body.dataset.theme = mode;\n  localStorage.setItem(\"theme\", mode);\n  console.log(`Changed to ${mode} mode.`);\n}\n\nfunction cycleThemeOnce() {\n  const currentTheme = localStorage.getItem(\"theme\") || \"auto\";\n  const prefersDark = window.matchMedia(\"(prefers-color-scheme: dark)\").matches;\n\n  if (prefersDark) {\n    // Auto (dark) -> Light -> Dark\n    if (currentTheme === \"auto\") {\n      setTheme(\"light\");\n    } else if (currentTheme == \"light\") {\n      setTheme(\"dark\");\n    } else {\n      setTheme(\"auto\");\n    }\n  } else {\n    // Auto (light) -> Dark -> Light\n    if (currentTheme === \"auto\") {\n      setTheme(\"dark\");\n    } else if (currentTheme == \"dark\") {\n      setTheme(\"light\");\n    } else {\n      setTheme(\"auto\");\n    }\n  }\n}\n\n////////////////////////////////////////////////////////////////////////////////\n// Setup\n////////////////////////////////////////////////////////////////////////////////\nfunction setupScrollHandler() {\n  // Taken from https://developer.mozilla.org/en-US/docs/Web/API/Document/scroll_event\n  let last_known_scroll_position = 0;\n  let ticking = false;\n\n  window.addEventListener(\"scroll\", function (e) {\n    last_known_scroll_position = window.scrollY;\n\n    if (!ticking) {\n      window.requestAnimationFrame(function () {\n        scrollHandler(last_known_scroll_position);\n        ticking = false;\n      });\n\n      ticking = true;\n    }\n  });\n  window.scroll();\n}\n\nfunction setupScrollSpy() {\n  if (tocScroll === null) {\n    return;\n  }\n\n  // Scrollspy -- highlight table on contents, based on scroll\n  new Gumshoe(\".toc-tree a\", {\n    reflow: true,\n    recursive: true,\n    navClass: \"scroll-current\",\n    offset: () => {\n      let rem = parseFloat(getComputedStyle(document.documentElement).fontSize);\n      return header.getBoundingClientRect().height + 2.5 * rem + 1;\n    },\n  });\n}\n\nfunction setupTheme() {\n  // Attach event handlers for toggling themes\n  const buttons = document.getElementsByClassName(\"theme-toggle\");\n  Array.from(buttons).forEach((btn) => {\n    btn.addEventListener(\"click\", cycleThemeOnce);\n  });\n}\n\nfunction setup() {\n  setupTheme();\n  setupScrollHandler();\n  setupScrollSpy();\n}\n\n////////////////////////////////////////////////////////////////////////////////\n// Main entrypoint\n////////////////////////////////////////////////////////////////////////////////\nfunction main() {\n  document.body.parentNode.classList.remove(\"no-js\");\n\n  header = document.querySelector(\"header\");\n  tocScroll = document.querySelector(\".toc-scroll\");\n\n  setup();\n}\n\ndocument.addEventListener(\"DOMContentLoaded\", main);\n"],"names":["root","g","window","this","defaults","navClass","contentClass","nested","nestedClass","offset","reflow","events","emitEvent","type","elem","detail","settings","event","CustomEvent","bubbles","cancelable","dispatchEvent","getOffsetTop","location","offsetParent","offsetTop","sortContents","contents","sort","item1","item2","content","isInView","bottom","bounds","getBoundingClientRect","parseFloat","getOffset","parseInt","innerHeight","document","documentElement","clientHeight","top","isAtBottom","Math","ceil","pageYOffset","max","body","scrollHeight","offsetHeight","getActive","last","length","item","useLastItem","i","deactivateNested","nav","parentNode","li","closest","classList","remove","deactivate","items","link","activateNested","add","selector","options","navItems","current","timeout","publicAPIs","querySelectorAll","Array","prototype","forEach","call","getElementById","decodeURIComponent","hash","substr","push","active","activate","scrollHandler","cancelAnimationFrame","requestAnimationFrame","detect","resizeHandler","destroy","removeEventListener","merged","arguments","obj","key","hasOwnProperty","extend","setup","addEventListener","factory","__webpack_module_cache__","__webpack_require__","moduleId","cachedModule","undefined","exports","module","__webpack_modules__","n","getter","__esModule","d","a","definition","o","Object","defineProperty","enumerable","get","globalThis","Function","e","prop","tocScroll","header","lastScrollTop","scrollTop","GO_TO_TOP_OFFSET","cycleThemeOnce","currentTheme","localStorage","getItem","mode","matchMedia","matches","console","error","dataset","theme","setItem","log","buttons","getElementsByClassName","from","btn","setupTheme","last_known_scroll_position","ticking","scrollY","positionY","floor","scrollHandlerForBackToTop","scrollTo","querySelector","scrollHandlerForTOC","scroll","setupScrollHandler","recursive","rem","getComputedStyle","fontSize","height"],"sourceRoot":""}
\ No newline at end of file
diff --git a/docs/python-documentation/_static/searchtools.js b/docs/python-documentation/_static/searchtools.js
new file mode 100644
index 00000000..97d56a74
--- /dev/null
+++ b/docs/python-documentation/_static/searchtools.js
@@ -0,0 +1,566 @@
+/*
+ * searchtools.js
+ * ~~~~~~~~~~~~~~~~
+ *
+ * Sphinx JavaScript utilities for the full-text search.
+ *
+ * :copyright: Copyright 2007-2023 by the Sphinx team, see AUTHORS.
+ * :license: BSD, see LICENSE for details.
+ *
+ */
+"use strict";
+
+/**
+ * Simple result scoring code.
+ */
+if (typeof Scorer === "undefined") {
+  var Scorer = {
+    // Implement the following function to further tweak the score for each result
+    // The function takes a result array [docname, title, anchor, descr, score, filename]
+    // and returns the new score.
+    /*
+    score: result => {
+      const [docname, title, anchor, descr, score, filename] = result
+      return score
+    },
+    */
+
+    // query matches the full name of an object
+    objNameMatch: 11,
+    // or matches in the last dotted part of the object name
+    objPartialMatch: 6,
+    // Additive scores depending on the priority of the object
+    objPrio: {
+      0: 15, // used to be importantResults
+      1: 5, // used to be objectResults
+      2: -5, // used to be unimportantResults
+    },
+    //  Used when the priority is not in the mapping.
+    objPrioDefault: 0,
+
+    // query found in title
+    title: 15,
+    partialTitle: 7,
+    // query found in terms
+    term: 5,
+    partialTerm: 2,
+  };
+}
+
+const _removeChildren = (element) => {
+  while (element && element.lastChild) element.removeChild(element.lastChild);
+};
+
+/**
+ * See https://developer.mozilla.org/en-US/docs/Web/JavaScript/Guide/Regular_Expressions#escaping
+ */
+const _escapeRegExp = (string) =>
+  string.replace(/[.*+\-?^${}()|[\]\\]/g, "\\$&"); // $& means the whole matched string
+
+const _displayItem = (item, searchTerms) => {
+  const docBuilder = DOCUMENTATION_OPTIONS.BUILDER;
+  const docUrlRoot = DOCUMENTATION_OPTIONS.URL_ROOT;
+  const docFileSuffix = DOCUMENTATION_OPTIONS.FILE_SUFFIX;
+  const docLinkSuffix = DOCUMENTATION_OPTIONS.LINK_SUFFIX;
+  const showSearchSummary = DOCUMENTATION_OPTIONS.SHOW_SEARCH_SUMMARY;
+
+  const [docName, title, anchor, descr, score, _filename] = item;
+
+  let listItem = document.createElement("li");
+  let requestUrl;
+  let linkUrl;
+  if (docBuilder === "dirhtml") {
+    // dirhtml builder
+    let dirname = docName + "/";
+    if (dirname.match(/\/index\/$/))
+      dirname = dirname.substring(0, dirname.length - 6);
+    else if (dirname === "index/") dirname = "";
+    requestUrl = docUrlRoot + dirname;
+    linkUrl = requestUrl;
+  } else {
+    // normal html builders
+    requestUrl = docUrlRoot + docName + docFileSuffix;
+    linkUrl = docName + docLinkSuffix;
+  }
+  let linkEl = listItem.appendChild(document.createElement("a"));
+  linkEl.href = linkUrl + anchor;
+  linkEl.dataset.score = score;
+  linkEl.innerHTML = title;
+  if (descr)
+    listItem.appendChild(document.createElement("span")).innerHTML =
+      " (" + descr + ")";
+  else if (showSearchSummary)
+    fetch(requestUrl)
+      .then((responseData) => responseData.text())
+      .then((data) => {
+        if (data)
+          listItem.appendChild(
+            Search.makeSearchSummary(data, searchTerms)
+          );
+      });
+  Search.output.appendChild(listItem);
+};
+const _finishSearch = (resultCount) => {
+  Search.stopPulse();
+  Search.title.innerText = _("Search Results");
+  if (!resultCount)
+    Search.status.innerText = Documentation.gettext(
+      "Your search did not match any documents. Please make sure that all words are spelled correctly and that you've selected enough categories."
+    );
+  else
+    Search.status.innerText = _(
+      `Search finished, found ${resultCount} page(s) matching the search query.`
+    );
+};
+const _displayNextItem = (
+  results,
+  resultCount,
+  searchTerms
+) => {
+  // results left, load the summary and display it
+  // this is intended to be dynamic (don't sub resultsCount)
+  if (results.length) {
+    _displayItem(results.pop(), searchTerms);
+    setTimeout(
+      () => _displayNextItem(results, resultCount, searchTerms),
+      5
+    );
+  }
+  // search finished, update title and status message
+  else _finishSearch(resultCount);
+};
+
+/**
+ * Default splitQuery function. Can be overridden in ``sphinx.search`` with a
+ * custom function per language.
+ *
+ * The regular expression works by splitting the string on consecutive characters
+ * that are not Unicode letters, numbers, underscores, or emoji characters.
+ * This is the same as ``\W+`` in Python, preserving the surrogate pair area.
+ */
+if (typeof splitQuery === "undefined") {
+  var splitQuery = (query) => query
+      .split(/[^\p{Letter}\p{Number}_\p{Emoji_Presentation}]+/gu)
+      .filter(term => term)  // remove remaining empty strings
+}
+
+/**
+ * Search Module
+ */
+const Search = {
+  _index: null,
+  _queued_query: null,
+  _pulse_status: -1,
+
+  htmlToText: (htmlString) => {
+    const htmlElement = new DOMParser().parseFromString(htmlString, 'text/html');
+    htmlElement.querySelectorAll(".headerlink").forEach((el) => { el.remove() });
+    const docContent = htmlElement.querySelector('[role="main"]');
+    if (docContent !== undefined) return docContent.textContent;
+    console.warn(
+      "Content block not found. Sphinx search tries to obtain it via '[role=main]'. Could you check your theme or template."
+    );
+    return "";
+  },
+
+  init: () => {
+    const query = new URLSearchParams(window.location.search).get("q");
+    document
+      .querySelectorAll('input[name="q"]')
+      .forEach((el) => (el.value = query));
+    if (query) Search.performSearch(query);
+  },
+
+  loadIndex: (url) =>
+    (document.body.appendChild(document.createElement("script")).src = url),
+
+  setIndex: (index) => {
+    Search._index = index;
+    if (Search._queued_query !== null) {
+      const query = Search._queued_query;
+      Search._queued_query = null;
+      Search.query(query);
+    }
+  },
+
+  hasIndex: () => Search._index !== null,
+
+  deferQuery: (query) => (Search._queued_query = query),
+
+  stopPulse: () => (Search._pulse_status = -1),
+
+  startPulse: () => {
+    if (Search._pulse_status >= 0) return;
+
+    const pulse = () => {
+      Search._pulse_status = (Search._pulse_status + 1) % 4;
+      Search.dots.innerText = ".".repeat(Search._pulse_status);
+      if (Search._pulse_status >= 0) window.setTimeout(pulse, 500);
+    };
+    pulse();
+  },
+
+  /**
+   * perform a search for something (or wait until index is loaded)
+   */
+  performSearch: (query) => {
+    // create the required interface elements
+    const searchText = document.createElement("h2");
+    searchText.textContent = _("Searching");
+    const searchSummary = document.createElement("p");
+    searchSummary.classList.add("search-summary");
+    searchSummary.innerText = "";
+    const searchList = document.createElement("ul");
+    searchList.classList.add("search");
+
+    const out = document.getElementById("search-results");
+    Search.title = out.appendChild(searchText);
+    Search.dots = Search.title.appendChild(document.createElement("span"));
+    Search.status = out.appendChild(searchSummary);
+    Search.output = out.appendChild(searchList);
+
+    const searchProgress = document.getElementById("search-progress");
+    // Some themes don't use the search progress node
+    if (searchProgress) {
+      searchProgress.innerText = _("Preparing search...");
+    }
+    Search.startPulse();
+
+    // index already loaded, the browser was quick!
+    if (Search.hasIndex()) Search.query(query);
+    else Search.deferQuery(query);
+  },
+
+  /**
+   * execute search (requires search index to be loaded)
+   */
+  query: (query) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+    const allTitles = Search._index.alltitles;
+    const indexEntries = Search._index.indexentries;
+
+    // stem the search terms and add them to the correct list
+    const stemmer = new Stemmer();
+    const searchTerms = new Set();
+    const excludedTerms = new Set();
+    const highlightTerms = new Set();
+    const objectTerms = new Set(splitQuery(query.toLowerCase().trim()));
+    splitQuery(query.trim()).forEach((queryTerm) => {
+      const queryTermLower = queryTerm.toLowerCase();
+
+      // maybe skip this "word"
+      // stopwords array is from language_data.js
+      if (
+        stopwords.indexOf(queryTermLower) !== -1 ||
+        queryTerm.match(/^\d+$/)
+      )
+        return;
+
+      // stem the word
+      let word = stemmer.stemWord(queryTermLower);
+      // select the correct list
+      if (word[0] === "-") excludedTerms.add(word.substr(1));
+      else {
+        searchTerms.add(word);
+        highlightTerms.add(queryTermLower);
+      }
+    });
+
+    if (SPHINX_HIGHLIGHT_ENABLED) {  // set in sphinx_highlight.js
+      localStorage.setItem("sphinx_highlight_terms", [...highlightTerms].join(" "))
+    }
+
+    // console.debug("SEARCH: searching for:");
+    // console.info("required: ", [...searchTerms]);
+    // console.info("excluded: ", [...excludedTerms]);
+
+    // array of [docname, title, anchor, descr, score, filename]
+    let results = [];
+    _removeChildren(document.getElementById("search-progress"));
+
+    const queryLower = query.toLowerCase();
+    for (const [title, foundTitles] of Object.entries(allTitles)) {
+      if (title.toLowerCase().includes(queryLower) && (queryLower.length >= title.length/2)) {
+        for (const [file, id] of foundTitles) {
+          let score = Math.round(100 * queryLower.length / title.length)
+          results.push([
+            docNames[file],
+            titles[file] !== title ? `${titles[file]} > ${title}` : title,
+            id !== null ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ]);
+        }
+      }
+    }
+
+    // search for explicit entries in index directives
+    for (const [entry, foundEntries] of Object.entries(indexEntries)) {
+      if (entry.includes(queryLower) && (queryLower.length >= entry.length/2)) {
+        for (const [file, id] of foundEntries) {
+          let score = Math.round(100 * queryLower.length / entry.length)
+          results.push([
+            docNames[file],
+            titles[file],
+            id ? "#" + id : "",
+            null,
+            score,
+            filenames[file],
+          ]);
+        }
+      }
+    }
+
+    // lookup as object
+    objectTerms.forEach((term) =>
+      results.push(...Search.performObjectSearch(term, objectTerms))
+    );
+
+    // lookup as search terms in fulltext
+    results.push(...Search.performTermsSearch(searchTerms, excludedTerms));
+
+    // let the scorer override scores with a custom scoring function
+    if (Scorer.score) results.forEach((item) => (item[4] = Scorer.score(item)));
+
+    // now sort the results by score (in opposite order of appearance, since the
+    // display function below uses pop() to retrieve items) and then
+    // alphabetically
+    results.sort((a, b) => {
+      const leftScore = a[4];
+      const rightScore = b[4];
+      if (leftScore === rightScore) {
+        // same score: sort alphabetically
+        const leftTitle = a[1].toLowerCase();
+        const rightTitle = b[1].toLowerCase();
+        if (leftTitle === rightTitle) return 0;
+        return leftTitle > rightTitle ? -1 : 1; // inverted is intentional
+      }
+      return leftScore > rightScore ? 1 : -1;
+    });
+
+    // remove duplicate search results
+    // note the reversing of results, so that in the case of duplicates, the highest-scoring entry is kept
+    let seen = new Set();
+    results = results.reverse().reduce((acc, result) => {
+      let resultStr = result.slice(0, 4).concat([result[5]]).map(v => String(v)).join(',');
+      if (!seen.has(resultStr)) {
+        acc.push(result);
+        seen.add(resultStr);
+      }
+      return acc;
+    }, []);
+
+    results = results.reverse();
+
+    // for debugging
+    //Search.lastresults = results.slice();  // a copy
+    // console.info("search results:", Search.lastresults);
+
+    // print the results
+    _displayNextItem(results, results.length, searchTerms);
+  },
+
+  /**
+   * search for object names
+   */
+  performObjectSearch: (object, objectTerms) => {
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const objects = Search._index.objects;
+    const objNames = Search._index.objnames;
+    const titles = Search._index.titles;
+
+    const results = [];
+
+    const objectSearchCallback = (prefix, match) => {
+      const name = match[4]
+      const fullname = (prefix ? prefix + "." : "") + name;
+      const fullnameLower = fullname.toLowerCase();
+      if (fullnameLower.indexOf(object) < 0) return;
+
+      let score = 0;
+      const parts = fullnameLower.split(".");
+
+      // check for different match types: exact matches of full name or
+      // "last name" (i.e. last dotted part)
+      if (fullnameLower === object || parts.slice(-1)[0] === object)
+        score += Scorer.objNameMatch;
+      else if (parts.slice(-1)[0].indexOf(object) > -1)
+        score += Scorer.objPartialMatch; // matches in last name
+
+      const objName = objNames[match[1]][2];
+      const title = titles[match[0]];
+
+      // If more than one term searched for, we require other words to be
+      // found in the name/title/description
+      const otherTerms = new Set(objectTerms);
+      otherTerms.delete(object);
+      if (otherTerms.size > 0) {
+        const haystack = `${prefix} ${name} ${objName} ${title}`.toLowerCase();
+        if (
+          [...otherTerms].some((otherTerm) => haystack.indexOf(otherTerm) < 0)
+        )
+          return;
+      }
+
+      let anchor = match[3];
+      if (anchor === "") anchor = fullname;
+      else if (anchor === "-") anchor = objNames[match[1]][1] + "-" + fullname;
+
+      const descr = objName + _(", in ") + title;
+
+      // add custom score for some objects according to scorer
+      if (Scorer.objPrio.hasOwnProperty(match[2]))
+        score += Scorer.objPrio[match[2]];
+      else score += Scorer.objPrioDefault;
+
+      results.push([
+        docNames[match[0]],
+        fullname,
+        "#" + anchor,
+        descr,
+        score,
+        filenames[match[0]],
+      ]);
+    };
+    Object.keys(objects).forEach((prefix) =>
+      objects[prefix].forEach((array) =>
+        objectSearchCallback(prefix, array)
+      )
+    );
+    return results;
+  },
+
+  /**
+   * search for full-text terms in the index
+   */
+  performTermsSearch: (searchTerms, excludedTerms) => {
+    // prepare search
+    const terms = Search._index.terms;
+    const titleTerms = Search._index.titleterms;
+    const filenames = Search._index.filenames;
+    const docNames = Search._index.docnames;
+    const titles = Search._index.titles;
+
+    const scoreMap = new Map();
+    const fileMap = new Map();
+
+    // perform the search on the required terms
+    searchTerms.forEach((word) => {
+      const files = [];
+      const arr = [
+        { files: terms[word], score: Scorer.term },
+        { files: titleTerms[word], score: Scorer.title },
+      ];
+      // add support for partial matches
+      if (word.length > 2) {
+        const escapedWord = _escapeRegExp(word);
+        Object.keys(terms).forEach((term) => {
+          if (term.match(escapedWord) && !terms[word])
+            arr.push({ files: terms[term], score: Scorer.partialTerm });
+        });
+        Object.keys(titleTerms).forEach((term) => {
+          if (term.match(escapedWord) && !titleTerms[word])
+            arr.push({ files: titleTerms[word], score: Scorer.partialTitle });
+        });
+      }
+
+      // no match but word was a required one
+      if (arr.every((record) => record.files === undefined)) return;
+
+      // found search word in contents
+      arr.forEach((record) => {
+        if (record.files === undefined) return;
+
+        let recordFiles = record.files;
+        if (recordFiles.length === undefined) recordFiles = [recordFiles];
+        files.push(...recordFiles);
+
+        // set score for the word in each file
+        recordFiles.forEach((file) => {
+          if (!scoreMap.has(file)) scoreMap.set(file, {});
+          scoreMap.get(file)[word] = record.score;
+        });
+      });
+
+      // create the mapping
+      files.forEach((file) => {
+        if (fileMap.has(file) && fileMap.get(file).indexOf(word) === -1)
+          fileMap.get(file).push(word);
+        else fileMap.set(file, [word]);
+      });
+    });
+
+    // now check if the files don't contain excluded terms
+    const results = [];
+    for (const [file, wordList] of fileMap) {
+      // check if all requirements are matched
+
+      // as search terms with length < 3 are discarded
+      const filteredTermCount = [...searchTerms].filter(
+        (term) => term.length > 2
+      ).length;
+      if (
+        wordList.length !== searchTerms.size &&
+        wordList.length !== filteredTermCount
+      )
+        continue;
+
+      // ensure that none of the excluded terms is in the search result
+      if (
+        [...excludedTerms].some(
+          (term) =>
+            terms[term] === file ||
+            titleTerms[term] === file ||
+            (terms[term] || []).includes(file) ||
+            (titleTerms[term] || []).includes(file)
+        )
+      )
+        break;
+
+      // select one (max) score for the file.
+      const score = Math.max(...wordList.map((w) => scoreMap.get(file)[w]));
+      // add result to the result list
+      results.push([
+        docNames[file],
+        titles[file],
+        "",
+        null,
+        score,
+        filenames[file],
+      ]);
+    }
+    return results;
+  },
+
+  /**
+   * helper function to return a node containing the
+   * search summary for a given text. keywords is a list
+   * of stemmed words.
+   */
+  makeSearchSummary: (htmlText, keywords) => {
+    const text = Search.htmlToText(htmlText);
+    if (text === "") return null;
+
+    const textLower = text.toLowerCase();
+    const actualStartPosition = [...keywords]
+      .map((k) => textLower.indexOf(k.toLowerCase()))
+      .filter((i) => i > -1)
+      .slice(-1)[0];
+    const startWithContext = Math.max(actualStartPosition - 120, 0);
+
+    const top = startWithContext === 0 ? "" : "...";
+    const tail = startWithContext + 240 < text.length ? "..." : "";
+
+    let summary = document.createElement("p");
+    summary.classList.add("context");
+    summary.textContent = top + text.substr(startWithContext, 240).trim() + tail;
+
+    return summary;
+  },
+};
+
+_ready(Search.init);
diff --git a/docs/python-documentation/_static/skeleton.css b/docs/python-documentation/_static/skeleton.css
new file mode 100644
index 00000000..467c878c
--- /dev/null
+++ b/docs/python-documentation/_static/skeleton.css
@@ -0,0 +1,296 @@
+/* Some sane resets. */
+html {
+  height: 100%;
+}
+
+body {
+  margin: 0;
+  min-height: 100%;
+}
+
+/* All the flexbox magic! */
+body,
+.sb-announcement,
+.sb-content,
+.sb-main,
+.sb-container,
+.sb-container__inner,
+.sb-article-container,
+.sb-footer-content,
+.sb-header,
+.sb-header-secondary,
+.sb-footer {
+  display: flex;
+}
+
+/* These order things vertically */
+body,
+.sb-main,
+.sb-article-container {
+  flex-direction: column;
+}
+
+/* Put elements in the center */
+.sb-header,
+.sb-header-secondary,
+.sb-container,
+.sb-content,
+.sb-footer,
+.sb-footer-content {
+  justify-content: center;
+}
+/* Put elements at the ends */
+.sb-article-container {
+  justify-content: space-between;
+}
+
+/* These elements grow. */
+.sb-main,
+.sb-content,
+.sb-container,
+article {
+  flex-grow: 1;
+}
+
+/* Because padding making this wider is not fun */
+article {
+  box-sizing: border-box;
+}
+
+/* The announcements element should never be wider than the page. */
+.sb-announcement {
+  max-width: 100%;
+}
+
+.sb-sidebar-primary,
+.sb-sidebar-secondary {
+  flex-shrink: 0;
+  width: 17rem;
+}
+
+.sb-announcement__inner {
+  justify-content: center;
+
+  box-sizing: border-box;
+  height: 3rem;
+
+  overflow-x: auto;
+  white-space: nowrap;
+}
+
+/* Sidebars, with checkbox-based toggle */
+.sb-sidebar-primary,
+.sb-sidebar-secondary {
+  position: fixed;
+  height: 100%;
+  top: 0;
+}
+
+.sb-sidebar-primary {
+  left: -17rem;
+  transition: left 250ms ease-in-out;
+}
+.sb-sidebar-secondary {
+  right: -17rem;
+  transition: right 250ms ease-in-out;
+}
+
+.sb-sidebar-toggle {
+  display: none;
+}
+.sb-sidebar-overlay {
+  position: fixed;
+  top: 0;
+  width: 0;
+  height: 0;
+
+  transition: width 0ms ease 250ms, height 0ms ease 250ms, opacity 250ms ease;
+
+  opacity: 0;
+  background-color: rgba(0, 0, 0, 0.54);
+}
+
+#sb-sidebar-toggle--primary:checked
+  ~ .sb-sidebar-overlay[for="sb-sidebar-toggle--primary"],
+#sb-sidebar-toggle--secondary:checked
+  ~ .sb-sidebar-overlay[for="sb-sidebar-toggle--secondary"] {
+  width: 100%;
+  height: 100%;
+  opacity: 1;
+  transition: width 0ms ease, height 0ms ease, opacity 250ms ease;
+}
+
+#sb-sidebar-toggle--primary:checked ~ .sb-container .sb-sidebar-primary {
+  left: 0;
+}
+#sb-sidebar-toggle--secondary:checked ~ .sb-container .sb-sidebar-secondary {
+  right: 0;
+}
+
+/* Full-width mode */
+.drop-secondary-sidebar-for-full-width-content
+  .hide-when-secondary-sidebar-shown {
+  display: none !important;
+}
+.drop-secondary-sidebar-for-full-width-content .sb-sidebar-secondary {
+  display: none !important;
+}
+
+/* Mobile views */
+.sb-page-width {
+  width: 100%;
+}
+
+.sb-article-container,
+.sb-footer-content__inner,
+.drop-secondary-sidebar-for-full-width-content .sb-article,
+.drop-secondary-sidebar-for-full-width-content .match-content-width {
+  width: 100vw;
+}
+
+.sb-article,
+.match-content-width {
+  padding: 0 1rem;
+  box-sizing: border-box;
+}
+
+@media (min-width: 32rem) {
+  .sb-article,
+  .match-content-width {
+    padding: 0 2rem;
+  }
+}
+
+/* Tablet views */
+@media (min-width: 42rem) {
+  .sb-article-container {
+    width: auto;
+  }
+  .sb-footer-content__inner,
+  .drop-secondary-sidebar-for-full-width-content .sb-article,
+  .drop-secondary-sidebar-for-full-width-content .match-content-width {
+    width: 42rem;
+  }
+  .sb-article,
+  .match-content-width {
+    width: 42rem;
+  }
+}
+@media (min-width: 46rem) {
+  .sb-footer-content__inner,
+  .drop-secondary-sidebar-for-full-width-content .sb-article,
+  .drop-secondary-sidebar-for-full-width-content .match-content-width {
+    width: 46rem;
+  }
+  .sb-article,
+  .match-content-width {
+    width: 46rem;
+  }
+}
+@media (min-width: 50rem) {
+  .sb-footer-content__inner,
+  .drop-secondary-sidebar-for-full-width-content .sb-article,
+  .drop-secondary-sidebar-for-full-width-content .match-content-width {
+    width: 50rem;
+  }
+  .sb-article,
+  .match-content-width {
+    width: 50rem;
+  }
+}
+
+/* Tablet views */
+@media (min-width: 59rem) {
+  .sb-sidebar-secondary {
+    position: static;
+  }
+  .hide-when-secondary-sidebar-shown {
+    display: none !important;
+  }
+  .sb-footer-content__inner,
+  .drop-secondary-sidebar-for-full-width-content .sb-article,
+  .drop-secondary-sidebar-for-full-width-content .match-content-width {
+    width: 59rem;
+  }
+  .sb-article,
+  .match-content-width {
+    width: 42rem;
+  }
+}
+@media (min-width: 63rem) {
+  .sb-footer-content__inner,
+  .drop-secondary-sidebar-for-full-width-content .sb-article,
+  .drop-secondary-sidebar-for-full-width-content .match-content-width {
+    width: 63rem;
+  }
+  .sb-article,
+  .match-content-width {
+    width: 46rem;
+  }
+}
+@media (min-width: 67rem) {
+  .sb-footer-content__inner,
+  .drop-secondary-sidebar-for-full-width-content .sb-article,
+  .drop-secondary-sidebar-for-full-width-content .match-content-width {
+    width: 67rem;
+  }
+  .sb-article,
+  .match-content-width {
+    width: 50rem;
+  }
+}
+
+/* Desktop views */
+@media (min-width: 76rem) {
+  .sb-sidebar-primary {
+    position: static;
+  }
+  .hide-when-primary-sidebar-shown {
+    display: none !important;
+  }
+  .sb-footer-content__inner,
+  .drop-secondary-sidebar-for-full-width-content .sb-article,
+  .drop-secondary-sidebar-for-full-width-content .match-content-width {
+    width: 59rem;
+  }
+  .sb-article,
+  .match-content-width {
+    width: 42rem;
+  }
+}
+
+/* Full desktop views */
+@media (min-width: 80rem) {
+  .sb-article,
+  .match-content-width {
+    width: 46rem;
+  }
+  .sb-footer-content__inner,
+  .drop-secondary-sidebar-for-full-width-content .sb-article,
+  .drop-secondary-sidebar-for-full-width-content .match-content-width {
+    width: 63rem;
+  }
+}
+
+@media (min-width: 84rem) {
+  .sb-article,
+  .match-content-width {
+    width: 50rem;
+  }
+  .sb-footer-content__inner,
+  .drop-secondary-sidebar-for-full-width-content .sb-article,
+  .drop-secondary-sidebar-for-full-width-content .match-content-width {
+    width: 67rem;
+  }
+}
+
+@media (min-width: 88rem) {
+  .sb-footer-content__inner,
+  .drop-secondary-sidebar-for-full-width-content .sb-article,
+  .drop-secondary-sidebar-for-full-width-content .match-content-width {
+    width: 67rem;
+  }
+  .sb-page-width {
+    width: 88rem;
+  }
+}
diff --git a/docs/python-documentation/_static/sphinx_highlight.js b/docs/python-documentation/_static/sphinx_highlight.js
new file mode 100644
index 00000000..aae669d7
--- /dev/null
+++ b/docs/python-documentation/_static/sphinx_highlight.js
@@ -0,0 +1,144 @@
+/* Highlighting utilities for Sphinx HTML documentation. */
+"use strict";
+
+const SPHINX_HIGHLIGHT_ENABLED = true
+
+/**
+ * highlight a given string on a node by wrapping it in
+ * span elements with the given class name.
+ */
+const _highlight = (node, addItems, text, className) => {
+  if (node.nodeType === Node.TEXT_NODE) {
+    const val = node.nodeValue;
+    const parent = node.parentNode;
+    const pos = val.toLowerCase().indexOf(text);
+    if (
+      pos >= 0 &&
+      !parent.classList.contains(className) &&
+      !parent.classList.contains("nohighlight")
+    ) {
+      let span;
+
+      const closestNode = parent.closest("body, svg, foreignObject");
+      const isInSVG = closestNode && closestNode.matches("svg");
+      if (isInSVG) {
+        span = document.createElementNS("http://www.w3.org/2000/svg", "tspan");
+      } else {
+        span = document.createElement("span");
+        span.classList.add(className);
+      }
+
+      span.appendChild(document.createTextNode(val.substr(pos, text.length)));
+      parent.insertBefore(
+        span,
+        parent.insertBefore(
+          document.createTextNode(val.substr(pos + text.length)),
+          node.nextSibling
+        )
+      );
+      node.nodeValue = val.substr(0, pos);
+
+      if (isInSVG) {
+        const rect = document.createElementNS(
+          "http://www.w3.org/2000/svg",
+          "rect"
+        );
+        const bbox = parent.getBBox();
+        rect.x.baseVal.value = bbox.x;
+        rect.y.baseVal.value = bbox.y;
+        rect.width.baseVal.value = bbox.width;
+        rect.height.baseVal.value = bbox.height;
+        rect.setAttribute("class", className);
+        addItems.push({ parent: parent, target: rect });
+      }
+    }
+  } else if (node.matches && !node.matches("button, select, textarea")) {
+    node.childNodes.forEach((el) => _highlight(el, addItems, text, className));
+  }
+};
+const _highlightText = (thisNode, text, className) => {
+  let addItems = [];
+  _highlight(thisNode, addItems, text, className);
+  addItems.forEach((obj) =>
+    obj.parent.insertAdjacentElement("beforebegin", obj.target)
+  );
+};
+
+/**
+ * Small JavaScript module for the documentation.
+ */
+const SphinxHighlight = {
+
+  /**
+   * highlight the search words provided in localstorage in the text
+   */
+  highlightSearchWords: () => {
+    if (!SPHINX_HIGHLIGHT_ENABLED) return;  // bail if no highlight
+
+    // get and clear terms from localstorage
+    const url = new URL(window.location);
+    const highlight =
+        localStorage.getItem("sphinx_highlight_terms")
+        || url.searchParams.get("highlight")
+        || "";
+    localStorage.removeItem("sphinx_highlight_terms")
+    url.searchParams.delete("highlight");
+    window.history.replaceState({}, "", url);
+
+    // get individual terms from highlight string
+    const terms = highlight.toLowerCase().split(/\s+/).filter(x => x);
+    if (terms.length === 0) return; // nothing to do
+
+    // There should never be more than one element matching "div.body"
+    const divBody = document.querySelectorAll("div.body");
+    const body = divBody.length ? divBody[0] : document.querySelector("body");
+    window.setTimeout(() => {
+      terms.forEach((term) => _highlightText(body, term, "highlighted"));
+    }, 10);
+
+    const searchBox = document.getElementById("searchbox");
+    if (searchBox === null) return;
+    searchBox.appendChild(
+      document
+        .createRange()
+        .createContextualFragment(
+          '<p class="highlight-link">' +
+            '<a href="javascript:SphinxHighlight.hideSearchWords()">' +
+            _("Hide Search Matches") +
+            "</a></p>"
+        )
+    );
+  },
+
+  /**
+   * helper function to hide the search marks again
+   */
+  hideSearchWords: () => {
+    document
+      .querySelectorAll("#searchbox .highlight-link")
+      .forEach((el) => el.remove());
+    document
+      .querySelectorAll("span.highlighted")
+      .forEach((el) => el.classList.remove("highlighted"));
+    localStorage.removeItem("sphinx_highlight_terms")
+  },
+
+  initEscapeListener: () => {
+    // only install a listener if it is really needed
+    if (!DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS) return;
+
+    document.addEventListener("keydown", (event) => {
+      // bail for input elements
+      if (BLACKLISTED_KEY_CONTROL_ELEMENTS.has(document.activeElement.tagName)) return;
+      // bail with special keys
+      if (event.shiftKey || event.altKey || event.ctrlKey || event.metaKey) return;
+      if (DOCUMENTATION_OPTIONS.ENABLE_SEARCH_SHORTCUTS && (event.key === "Escape")) {
+        SphinxHighlight.hideSearchWords();
+        event.preventDefault();
+      }
+    });
+  },
+};
+
+_ready(SphinxHighlight.highlightSearchWords);
+_ready(SphinxHighlight.initEscapeListener);
diff --git a/docs/python-documentation/_static/styles/furo-extensions.css b/docs/python-documentation/_static/styles/furo-extensions.css
new file mode 100644
index 00000000..bc447f22
--- /dev/null
+++ b/docs/python-documentation/_static/styles/furo-extensions.css
@@ -0,0 +1,2 @@
+#furo-sidebar-ad-placement{padding:var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)}#furo-sidebar-ad-placement .ethical-sidebar{background:var(--color-background-secondary);border:none;box-shadow:none}#furo-sidebar-ad-placement .ethical-sidebar:hover{background:var(--color-background-hover)}#furo-sidebar-ad-placement .ethical-sidebar a{color:var(--color-foreground-primary)}#furo-sidebar-ad-placement .ethical-callout a{color:var(--color-foreground-secondary)!important}#furo-readthedocs-versions{background:transparent;display:block;position:static;width:100%}#furo-readthedocs-versions .rst-versions{background:#1a1c1e}#furo-readthedocs-versions .rst-current-version{background:var(--color-sidebar-item-background);cursor:unset}#furo-readthedocs-versions .rst-current-version:hover{background:var(--color-sidebar-item-background)}#furo-readthedocs-versions .rst-current-version .fa-book{color:var(--color-foreground-primary)}#furo-readthedocs-versions>.rst-other-versions{padding:0}#furo-readthedocs-versions>.rst-other-versions small{opacity:1}#furo-readthedocs-versions .injected .rst-versions{position:unset}#furo-readthedocs-versions:focus-within,#furo-readthedocs-versions:hover{box-shadow:0 0 0 1px var(--color-sidebar-background-border)}#furo-readthedocs-versions:focus-within .rst-current-version,#furo-readthedocs-versions:hover .rst-current-version{background:#1a1c1e;font-size:inherit;height:auto;line-height:inherit;padding:12px;text-align:right}#furo-readthedocs-versions:focus-within .rst-current-version .fa-book,#furo-readthedocs-versions:hover .rst-current-version .fa-book{color:#fff;float:left}#furo-readthedocs-versions:focus-within .fa-caret-down,#furo-readthedocs-versions:hover .fa-caret-down{display:none}#furo-readthedocs-versions:focus-within .injected,#furo-readthedocs-versions:focus-within .rst-current-version,#furo-readthedocs-versions:focus-within .rst-other-versions,#furo-readthedocs-versions:hover .injected,#furo-readthedocs-versions:hover .rst-current-version,#furo-readthedocs-versions:hover .rst-other-versions{display:block}#furo-readthedocs-versions:focus-within>.rst-current-version,#furo-readthedocs-versions:hover>.rst-current-version{display:none}.highlight:hover button.copybtn{color:var(--color-code-foreground)}.highlight button.copybtn{align-items:center;background-color:var(--color-code-background);border:none;color:var(--color-background-item);cursor:pointer;height:1.25em;opacity:1;right:.5rem;top:.625rem;transition:color .3s,opacity .3s;width:1.25em}.highlight button.copybtn:hover{background-color:var(--color-code-background);color:var(--color-brand-content)}.highlight button.copybtn:after{background-color:transparent;color:var(--color-code-foreground);display:none}.highlight button.copybtn.success{color:#22863a;transition:color 0ms}.highlight button.copybtn.success:after{display:block}.highlight button.copybtn svg{padding:0}body{--sd-color-primary:var(--color-brand-primary);--sd-color-primary-highlight:var(--color-brand-content);--sd-color-primary-text:var(--color-background-primary);--sd-color-shadow:rgba(0,0,0,.05);--sd-color-card-border:var(--color-card-border);--sd-color-card-border-hover:var(--color-brand-content);--sd-color-card-background:var(--color-card-background);--sd-color-card-text:var(--color-foreground-primary);--sd-color-card-header:var(--color-card-marginals-background);--sd-color-card-footer:var(--color-card-marginals-background);--sd-color-tabs-label-active:var(--color-brand-content);--sd-color-tabs-label-hover:var(--color-foreground-muted);--sd-color-tabs-label-inactive:var(--color-foreground-muted);--sd-color-tabs-underline-active:var(--color-brand-content);--sd-color-tabs-underline-hover:var(--color-foreground-border);--sd-color-tabs-underline-inactive:var(--color-background-border);--sd-color-tabs-overline:var(--color-background-border);--sd-color-tabs-underline:var(--color-background-border)}.sd-tab-content{box-shadow:0 -2px var(--sd-color-tabs-overline),0 1px var(--sd-color-tabs-underline)}.sd-card{box-shadow:0 .1rem .25rem var(--sd-color-shadow),0 0 .0625rem rgba(0,0,0,.1)}.sd-shadow-sm{box-shadow:0 .1rem .25rem var(--sd-color-shadow),0 0 .0625rem rgba(0,0,0,.1)!important}.sd-shadow-md{box-shadow:0 .3rem .75rem var(--sd-color-shadow),0 0 .0625rem rgba(0,0,0,.1)!important}.sd-shadow-lg{box-shadow:0 .6rem 1.5rem var(--sd-color-shadow),0 0 .0625rem 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diff --git a/docs/python-documentation/_static/styles/furo-extensions.css.map b/docs/python-documentation/_static/styles/furo-extensions.css.map
new file mode 100644
index 00000000..9ba5637f
--- /dev/null
+++ b/docs/python-documentation/_static/styles/furo-extensions.css.map
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diff --git a/docs/python-documentation/_static/styles/furo.css b/docs/python-documentation/_static/styles/furo.css
new file mode 100644
index 00000000..e3d4e57b
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Correct the color inheritance from `fieldset` elements in IE.\n * 3. Remove the padding so developers are not caught out when they zero out\n *    `fieldset` elements in all browsers.\n */\n\nlegend {\n  box-sizing: border-box; /* 1 */\n  color: inherit; /* 2 */\n  display: table; /* 1 */\n  max-width: 100%; /* 1 */\n  padding: 0; /* 3 */\n  white-space: normal; /* 1 */\n}\n\n/**\n * Add the correct vertical alignment in Chrome, Firefox, and Opera.\n */\n\nprogress {\n  vertical-align: baseline;\n}\n\n/**\n * Remove the default vertical scrollbar in IE 10+.\n */\n\ntextarea {\n  overflow: auto;\n}\n\n/**\n * 1. Add the correct box sizing in IE 10.\n * 2. Remove the padding in IE 10.\n */\n\n[type=\"checkbox\"],\n[type=\"radio\"] {\n  box-sizing: border-box; /* 1 */\n  padding: 0; /* 2 */\n}\n\n/**\n * Correct the cursor style of increment and decrement buttons in Chrome.\n */\n\n[type=\"number\"]::-webkit-inner-spin-button,\n[type=\"number\"]::-webkit-outer-spin-button {\n  height: auto;\n}\n\n/**\n * 1. Correct the odd appearance in Chrome and Safari.\n * 2. Correct the outline style in Safari.\n */\n\n[type=\"search\"] {\n  -webkit-appearance: textfield; /* 1 */\n  outline-offset: -2px; /* 2 */\n}\n\n/**\n * Remove the inner padding in Chrome and Safari on macOS.\n */\n\n[type=\"search\"]::-webkit-search-decoration {\n  -webkit-appearance: none;\n}\n\n/**\n * 1. Correct the inability to style clickable types in iOS and Safari.\n * 2. Change font properties to `inherit` in Safari.\n */\n\n::-webkit-file-upload-button {\n  -webkit-appearance: button; /* 1 */\n  font: inherit; /* 2 */\n}\n\n/* Interactive\n   ========================================================================== */\n\n/*\n * Add the correct display in Edge, IE 10+, and Firefox.\n */\n\ndetails {\n  display: block;\n}\n\n/*\n * Add the correct display in all browsers.\n */\n\nsummary {\n  display: list-item;\n}\n\n/* Misc\n   ========================================================================== */\n\n/**\n * Add the correct display in IE 10+.\n */\n\ntemplate {\n  display: none;\n}\n\n/**\n * Add the correct display in IE 10.\n */\n\n[hidden] {\n  display: none;\n}\n","// This file contains styles for managing print media.\n\n////////////////////////////////////////////////////////////////////////////////\n// Hide elements not relevant to print media.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n  // Hide icon container.\n  .content-icon-container\n    display: none !important\n\n  // Hide showing header links if hovering over when printing.\n  .headerlink\n    display: none !important\n\n  // Hide mobile header.\n  .mobile-header\n    display: none !important\n\n  // Hide navigation links.\n  .related-pages\n    display: none !important\n\n////////////////////////////////////////////////////////////////////////////////\n// Tweaks related to decolorization.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n  // Apply a border around code which no longer have a color background.\n  .highlight\n    border: 0.1pt solid var(--color-foreground-border)\n\n////////////////////////////////////////////////////////////////////////////////\n// Avoid page break in some relevant cases.\n////////////////////////////////////////////////////////////////////////////////\n@media print\n  ul, ol, dl, a, table, pre, blockquote\n    page-break-inside: avoid\n\n  h1, h2, h3, h4, h5, h6, img, figure, caption\n    page-break-inside: avoid\n    page-break-after: avoid\n\n  ul, ol, dl\n    page-break-before: avoid\n",".visually-hidden\n  position: absolute !important\n  width: 1px !important\n  height: 1px !important\n  padding: 0 !important\n  margin: -1px !important\n  overflow: hidden !important\n  clip: rect(0,0,0,0) !important\n  white-space: nowrap !important\n  border: 0 !important\n  color: var(--color-foreground-primary)\n  background: var(--color-background-primary)\n\n:-moz-focusring\n  outline: auto\n","// This file serves as the \"skeleton\" of the theming logic.\n//\n// This contains the bulk of the logic for handling dark mode, color scheme\n// toggling and the handling of color-scheme-specific hiding of elements.\n\nbody\n  @include fonts\n  @include spacing\n  @include icons\n  @include admonitions\n  @include default-admonition(#651fff, \"abstract\")\n  @include default-topic(#14B8A6, \"pencil\")\n\n  @include colors\n\n.only-light\n  display: block !important\nhtml body .only-dark\n  display: none !important\n\n// Ignore dark-mode hints if print media.\n@media not print\n  // Enable dark-mode, if requested.\n  body[data-theme=\"dark\"]\n    @include colors-dark\n\n    html & .only-light\n      display: none !important\n    .only-dark\n      display: block !important\n\n  // Enable dark mode, unless explicitly told to avoid.\n  @media (prefers-color-scheme: dark)\n    body:not([data-theme=\"light\"])\n      @include colors-dark\n\n      html & .only-light\n        display: none !important\n      .only-dark\n        display: block !important\n\n//\n// Theme toggle presentation\n//\nbody[data-theme=\"auto\"]\n  .theme-toggle svg.theme-icon-when-auto-light\n    display: block\n\n  @media (prefers-color-scheme: dark)\n    .theme-toggle svg.theme-icon-when-auto-dark\n      display: block\n    .theme-toggle svg.theme-icon-when-auto-light\n      display: none\n\nbody[data-theme=\"dark\"]\n  .theme-toggle svg.theme-icon-when-dark\n    display: block\n\nbody[data-theme=\"light\"]\n  .theme-toggle svg.theme-icon-when-light\n    display: block\n","// Fonts used by this theme.\n//\n// There are basically two things here -- using the system font stack and\n// defining sizes for various elements in %ages. We could have also used `em`\n// but %age is easier to reason about for me.\n\n@mixin fonts {\n  // These are adapted from https://systemfontstack.com/\n  --font-stack: -apple-system, BlinkMacSystemFont, Segoe UI, Helvetica, Arial,\n    sans-serif, Apple Color Emoji, Segoe UI Emoji;\n  --font-stack--monospace: \"SFMono-Regular\", Menlo, Consolas, Monaco,\n    Liberation Mono, Lucida Console, monospace;\n  --font-stack--headings: var(--font-stack);\n\n  --font-size--normal: 100%;\n  --font-size--small: 87.5%;\n  --font-size--small--2: 81.25%;\n  --font-size--small--3: 75%;\n  --font-size--small--4: 62.5%;\n\n  // Sidebar\n  --sidebar-caption-font-size: var(--font-size--small--2);\n  --sidebar-item-font-size: var(--font-size--small);\n  --sidebar-search-input-font-size: var(--font-size--small);\n\n  // Table of Contents\n  --toc-font-size: var(--font-size--small--3);\n  --toc-font-size--mobile: var(--font-size--normal);\n  --toc-title-font-size: var(--font-size--small--4);\n\n  // Admonitions\n  //\n  // These aren't defined in terms of %ages, since nesting these is permitted.\n  --admonition-font-size: 0.8125rem;\n  --admonition-title-font-size: 0.8125rem;\n\n  // Code\n  --code-font-size: var(--font-size--small--2);\n\n  // API\n  --api-font-size: var(--font-size--small);\n}\n","// Spacing for various elements on the page\n//\n// If the user wants to tweak things in a certain way, they are permitted to.\n// They also have to deal with the consequences though!\n\n@mixin spacing {\n  // Header!\n  --header-height: calc(\n    var(--sidebar-item-line-height) + 4 * #{var(--sidebar-item-spacing-vertical)}\n  );\n  --header-padding: 0.5rem;\n\n  // Sidebar\n  --sidebar-tree-space-above: 1.5rem;\n  --sidebar-caption-space-above: 1rem;\n\n  --sidebar-item-line-height: 1rem;\n  --sidebar-item-spacing-vertical: 0.5rem;\n  --sidebar-item-spacing-horizontal: 1rem;\n  --sidebar-item-height: calc(\n    var(--sidebar-item-line-height) + 2 *#{var(--sidebar-item-spacing-vertical)}\n  );\n\n  --sidebar-expander-width: var(--sidebar-item-height); // be square\n\n  --sidebar-search-space-above: 0.5rem;\n  --sidebar-search-input-spacing-vertical: 0.5rem;\n  --sidebar-search-input-spacing-horizontal: 0.5rem;\n  --sidebar-search-input-height: 1rem;\n  --sidebar-search-icon-size: var(--sidebar-search-input-height);\n\n  // Table of Contents\n  --toc-title-padding: 0.25rem 0;\n  --toc-spacing-vertical: 1.5rem;\n  --toc-spacing-horizontal: 1.5rem;\n  --toc-item-spacing-vertical: 0.4rem;\n  --toc-item-spacing-horizontal: 1rem;\n}\n","// Expose theme icons as CSS variables.\n\n$icons: (\n  // Adapted from tabler-icons\n  //    url: https://tablericons.com/\n  \"search\":\n    url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\" stroke-width=\"1.5\" stroke=\"currentColor\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path stroke=\"none\" d=\"M0 0h24v24H0z\"/><circle cx=\"10\" cy=\"10\" r=\"7\" /><line x1=\"21\" y1=\"21\" x2=\"15\" y2=\"15\" /></svg>'),\n  // Factored out from mkdocs-material on 24-Aug-2020.\n  //    url: https://squidfunk.github.io/mkdocs-material/reference/admonitions/\n  \"pencil\":\n    url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M20.71 7.04c.39-.39.39-1.04 0-1.41l-2.34-2.34c-.37-.39-1.02-.39-1.41 0l-1.84 1.83 3.75 3.75M3 17.25V21h3.75L17.81 9.93l-3.75-3.75L3 17.25z\"/></svg>'),\n  \"abstract\":\n    url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M4 5h16v2H4V5m0 4h16v2H4V9m0 4h16v2H4v-2m0 4h10v2H4v-2z\"/></svg>'),\n  \"info\":\n    url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M13 9h-2V7h2m0 10h-2v-6h2m-1-9A10 10 0 002 12a10 10 0 0010 10 10 10 0 0010-10A10 10 0 0012 2z\"/></svg>'),\n  \"flame\":\n    url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M17.55 11.2c-.23-.3-.5-.56-.76-.82-.65-.6-1.4-1.03-2.03-1.66C13.3 7.26 13 4.85 13.91 3c-.91.23-1.75.75-2.45 1.32-2.54 2.08-3.54 5.75-2.34 8.9.04.1.08.2.08.33 0 .22-.15.42-.35.5-.22.1-.46.04-.64-.12a.83.83 0 01-.15-.17c-1.1-1.43-1.28-3.48-.53-5.12C5.89 10 5 12.3 5.14 14.47c.04.5.1 1 .27 1.5.14.6.4 1.2.72 1.73 1.04 1.73 2.87 2.97 4.84 3.22 2.1.27 4.35-.12 5.96-1.6 1.8-1.66 2.45-4.32 1.5-6.6l-.13-.26c-.2-.46-.47-.87-.8-1.25l.05-.01m-3.1 6.3c-.28.24-.73.5-1.08.6-1.1.4-2.2-.16-2.87-.82 1.19-.28 1.89-1.16 2.09-2.05.17-.8-.14-1.46-.27-2.23-.12-.74-.1-1.37.18-2.06.17.38.37.76.6 1.06.76 1 1.95 1.44 2.2 2.8.04.14.06.28.06.43.03.82-.32 1.72-.92 2.27h.01z\"/></svg>'),\n  \"question\":\n    url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M15.07 11.25l-.9.92C13.45 12.89 13 13.5 13 15h-2v-.5c0-1.11.45-2.11 1.17-2.83l1.24-1.26c.37-.36.59-.86.59-1.41a2 2 0 00-2-2 2 2 0 00-2 2H8a4 4 0 014-4 4 4 0 014 4 3.2 3.2 0 01-.93 2.25M13 19h-2v-2h2M12 2A10 10 0 002 12a10 10 0 0010 10 10 10 0 0010-10c0-5.53-4.5-10-10-10z\"/></svg>'),\n  \"warning\":\n    url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M13 14h-2v-4h2m0 8h-2v-2h2M1 21h22L12 2 1 21z\"/></svg>'),\n  \"failure\":\n    url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M12 2c5.53 0 10 4.47 10 10s-4.47 10-10 10S2 17.53 2 12 6.47 2 12 2m3.59 5L12 10.59 8.41 7 7 8.41 10.59 12 7 15.59 8.41 17 12 13.41 15.59 17 17 15.59 13.41 12 17 8.41 15.59 7z\"/></svg>'),\n  \"spark\":\n    url('data:image/svg+xml;charset=utf-8,<svg xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\"><path d=\"M11.5 20l4.86-9.73H13V4l-5 9.73h3.5V20M12 2c2.75 0 5.1 1 7.05 2.95C21 6.9 22 9.25 22 12s-1 5.1-2.95 7.05C17.1 21 14.75 22 12 22s-5.1-1-7.05-2.95C3 17.1 2 14.75 2 12s1-5.1 2.95-7.05C6.9 3 9.25 2 12 2z\"/></svg>')\n);\n\n@mixin icons {\n  @each $name, $glyph in $icons {\n    --icon-#{$name}: #{$glyph};\n  }\n}\n","// Admonitions\n\n// Structure of these is:\n//    admonition-class: color \"icon-name\";\n//\n// The colors are translated into CSS variables below. The icons are\n// used directly in the main declarations to set the `mask-image` in\n// the title.\n\n// prettier-ignore\n$admonitions: (\n  // Each of these has an reST directives for it.\n  \"caution\":         #ff9100 \"spark\",\n  \"warning\":         #ff9100 \"warning\",\n  \"danger\":          #ff5252 \"spark\",\n  \"attention\":       #ff5252 \"warning\",\n  \"error\":           #ff5252 \"failure\",\n  \"hint\":            #00c852 \"question\",\n  \"tip\":             #00c852 \"info\",\n  \"important\":       #00bfa5 \"flame\",\n  \"note\":            #00b0ff \"pencil\",\n  \"seealso\":         #448aff \"info\",\n  \"admonition-todo\": #808080 \"pencil\"\n);\n\n@mixin default-admonition($color, $icon-name) {\n  --color-admonition-title: #{$color};\n  --color-admonition-title-background: #{rgba($color, 0.2)};\n\n  --icon-admonition-default: var(--icon-#{$icon-name});\n}\n\n@mixin default-topic($color, $icon-name) {\n  --color-topic-title: #{$color};\n  --color-topic-title-background: #{rgba($color, 0.2)};\n\n  --icon-topic-default: var(--icon-#{$icon-name});\n}\n\n@mixin admonitions {\n  @each $name, $values in $admonitions {\n    --color-admonition-title--#{$name}: #{nth($values, 1)};\n    --color-admonition-title-background--#{$name}: #{rgba(\n        nth($values, 1),\n        0.2\n      )};\n  }\n}\n","// Colors used throughout this theme.\n//\n// The aim is to give the user more control. Thus, instead of hard-coding colors\n// in various parts of the stylesheet, the approach taken is to define all\n// colors as CSS variables and reusing them in all the places.\n//\n// `colors-dark` depends on `colors` being included at a lower specificity.\n\n@mixin colors {\n  --color-problematic: #b30000;\n\n  // Base Colors\n  --color-foreground-primary: black; // for main text and headings\n  --color-foreground-secondary: #5a5c63; // for secondary text\n  --color-foreground-muted: #6b6f76; // for muted text\n  --color-foreground-border: #878787; // for content borders\n\n  --color-background-primary: white; // for content\n  --color-background-secondary: #f8f9fb; // for navigation + ToC\n  --color-background-hover: #efeff4ff; // for navigation-item hover\n  --color-background-hover--transparent: #efeff400;\n  --color-background-border: #eeebee; // for UI borders\n  --color-background-item: #ccc; // for \"background\" items (eg: copybutton)\n\n  // Announcements\n  --color-announcement-background: #000000dd;\n  --color-announcement-text: #eeebee;\n\n  // Brand colors\n  --color-brand-primary: #0a4bff;\n  --color-brand-content: #2757dd;\n  --color-brand-visited: #872ee0;\n\n  // API documentation\n  --color-api-background: var(--color-background-hover--transparent);\n  --color-api-background-hover: var(--color-background-hover);\n  --color-api-overall: var(--color-foreground-secondary);\n  --color-api-name: var(--color-problematic);\n  --color-api-pre-name: var(--color-problematic);\n  --color-api-paren: var(--color-foreground-secondary);\n  --color-api-keyword: var(--color-foreground-primary);\n\n  --color-api-added: #21632c;\n  --color-api-added-border: #38a84d;\n  --color-api-changed: #046172;\n  --color-api-changed-border: #06a1bc;\n  --color-api-deprecated: #605706;\n  --color-api-deprecated-border: #f0d90f;\n  --color-api-removed: #b30000;\n  --color-api-removed-border: #ff5c5c;\n\n  --color-highlight-on-target: #ffffcc;\n\n  // Inline code background\n  --color-inline-code-background: var(--color-background-secondary);\n\n  // Highlighted text (search)\n  --color-highlighted-background: #ddeeff;\n  --color-highlighted-text: var(--color-foreground-primary);\n\n  // GUI Labels\n  --color-guilabel-background: #ddeeff80;\n  --color-guilabel-border: #bedaf580;\n  --color-guilabel-text: var(--color-foreground-primary);\n\n  // Admonitions!\n  --color-admonition-background: transparent;\n\n  //////////////////////////////////////////////////////////////////////////////\n  // Everything below this should be one of:\n  // - var(...)\n  // - *-gradient(...)\n  // - special literal values (eg: transparent, none)\n  //////////////////////////////////////////////////////////////////////////////\n\n  // Tables\n  --color-table-header-background: var(--color-background-secondary);\n  --color-table-border: var(--color-background-border);\n\n  // Cards\n  --color-card-border: var(--color-background-secondary);\n  --color-card-background: transparent;\n  --color-card-marginals-background: var(--color-background-secondary);\n\n  // Header\n  --color-header-background: var(--color-background-primary);\n  --color-header-border: var(--color-background-border);\n  --color-header-text: var(--color-foreground-primary);\n\n  // Sidebar (left)\n  --color-sidebar-background: var(--color-background-secondary);\n  --color-sidebar-background-border: var(--color-background-border);\n\n  --color-sidebar-brand-text: var(--color-foreground-primary);\n  --color-sidebar-caption-text: var(--color-foreground-muted);\n  --color-sidebar-link-text: var(--color-foreground-secondary);\n  --color-sidebar-link-text--top-level: var(--color-brand-primary);\n\n  --color-sidebar-item-background: var(--color-sidebar-background);\n  --color-sidebar-item-background--current: var(\n    --color-sidebar-item-background\n  );\n  --color-sidebar-item-background--hover: linear-gradient(\n    90deg,\n    var(--color-background-hover--transparent) 0%,\n    var(--color-background-hover) var(--sidebar-item-spacing-horizontal),\n    var(--color-background-hover) 100%\n  );\n\n  --color-sidebar-item-expander-background: transparent;\n  --color-sidebar-item-expander-background--hover: var(\n    --color-background-hover\n  );\n\n  --color-sidebar-search-text: var(--color-foreground-primary);\n  --color-sidebar-search-background: var(--color-background-secondary);\n  --color-sidebar-search-background--focus: var(--color-background-primary);\n  --color-sidebar-search-border: var(--color-background-border);\n  --color-sidebar-search-icon: var(--color-foreground-muted);\n\n  // Table of Contents (right)\n  --color-toc-background: var(--color-background-primary);\n  --color-toc-title-text: var(--color-foreground-muted);\n  --color-toc-item-text: var(--color-foreground-secondary);\n  --color-toc-item-text--hover: var(--color-foreground-primary);\n  --color-toc-item-text--active: var(--color-brand-primary);\n\n  // Actual page contents\n  --color-content-foreground: var(--color-foreground-primary);\n  --color-content-background: transparent;\n\n  // Links\n  --color-link: var(--color-brand-content);\n  --color-link-underline: var(--color-background-border);\n  --color-link--hover: var(--color-brand-content);\n  --color-link-underline--hover: var(--color-foreground-border);\n\n  --color-link--visited: var(--color-brand-visited);\n  --color-link-underline--visited: var(--color-background-border);\n  --color-link--visited--hover: var(--color-brand-visited);\n  --color-link-underline--visited--hover: var(--color-foreground-border);\n}\n\n@mixin colors-dark {\n  --color-problematic: #ee5151;\n\n  // Base Colors\n  --color-foreground-primary: #cfd0d0; // for main text and headings\n  --color-foreground-secondary: #9ca0a5; // for secondary text\n  --color-foreground-muted: #81868d; // for muted text\n  --color-foreground-border: #666666; // for content borders\n\n  --color-background-primary: #131416; // for content\n  --color-background-secondary: #1a1c1e; // for navigation + ToC\n  --color-background-hover: #1e2124ff; // for navigation-item hover\n  --color-background-hover--transparent: #1e212400;\n  --color-background-border: #303335; // for UI borders\n  --color-background-item: #444; // for \"background\" items (eg: copybutton)\n\n  // Announcements\n  --color-announcement-background: #000000dd;\n  --color-announcement-text: #eeebee;\n\n  // Brand colors\n  --color-brand-primary: #3d94ff;\n  --color-brand-content: #5ca5ff;\n  --color-brand-visited: #b27aeb;\n\n  // Highlighted text (search)\n  --color-highlighted-background: #083563;\n\n  // GUI Labels\n  --color-guilabel-background: #08356380;\n  --color-guilabel-border: #13395f80;\n\n  // API documentation\n  --color-api-keyword: var(--color-foreground-secondary);\n  --color-highlight-on-target: #333300;\n\n  --color-api-added: #3db854;\n  --color-api-added-border: #267334;\n  --color-api-changed: #09b0ce;\n  --color-api-changed-border: #056d80;\n  --color-api-deprecated: #b1a10b;\n  --color-api-deprecated-border: #6e6407;\n  --color-api-removed: #ff7575;\n  --color-api-removed-border: #b03b3b;\n\n  // Admonitions\n  --color-admonition-background: #18181a;\n\n  // Cards\n  --color-card-border: var(--color-background-secondary);\n  --color-card-background: #18181a;\n  --color-card-marginals-background: var(--color-background-hover);\n}\n","// This file contains the styling for making the content throughout the page,\n// including fonts, paragraphs, headings and spacing among these elements.\n\nbody\n  font-family: var(--font-stack)\npre,\ncode,\nkbd,\nsamp\n  font-family: var(--font-stack--monospace)\n\n// Make fonts look slightly nicer.\nbody\n  -webkit-font-smoothing: antialiased\n  -moz-osx-font-smoothing: grayscale\n\n// Line height from Bootstrap 4.1\narticle\n  line-height: 1.5\n\n//\n// Headings\n//\nh1,\nh2,\nh3,\nh4,\nh5,\nh6\n  line-height: 1.25\n  font-family: var(--font-stack--headings)\n  font-weight: bold\n\n  border-radius: 0.5rem\n  margin-top: 0.5rem\n  margin-bottom: 0.5rem\n  margin-left: -0.5rem\n  margin-right: -0.5rem\n  padding-left: 0.5rem\n  padding-right: 0.5rem\n\n  + p\n    margin-top: 0\n\nh1\n  font-size: 2.5em\n  margin-top: 1.75rem\n  margin-bottom: 1rem\nh2\n  font-size: 2em\n  margin-top: 1.75rem\nh3\n  font-size: 1.5em\nh4\n  font-size: 1.25em\nh5\n  font-size: 1.125em\nh6\n  font-size: 1em\n\nsmall\n  opacity: 75%\n  font-size: 80%\n\n// Paragraph\np\n  margin-top: 0.5rem\n  margin-bottom: 0.75rem\n\n// Horizontal rules\nhr.docutils\n  height: 1px\n  padding: 0\n  margin: 2rem 0\n  background-color: var(--color-background-border)\n  border: 0\n\n.centered\n  text-align: center\n\n// Links\na\n  text-decoration: underline\n\n  color: var(--color-link)\n  text-decoration-color: var(--color-link-underline)\n\n  &:visited\n    color: var(--color-link--visited)\n    text-decoration-color: var(--color-link-underline--visited)\n    &:hover\n      color: var(--color-link--visited--hover)\n      text-decoration-color: var(--color-link-underline--visited--hover)\n\n  &:hover\n    color: var(--color-link--hover)\n    text-decoration-color: var(--color-link-underline--hover)\n  &.muted-link\n    color: inherit\n    &:hover\n      color: var(--color-link--hover)\n      text-decoration-color: var(--color-link-underline--hover)\n      &:visited\n        color: var(--color-link--visited--hover)\n        text-decoration-color: var(--color-link-underline--visited--hover)\n","// This file contains the styles for the overall layouting of the documentation\n// skeleton, including the responsive changes as well as sidebar toggles.\n//\n// This is implemented as a mobile-last design, which isn't ideal, but it is\n// reasonably good-enough and I got pretty tired by the time I'd finished this\n// to move the rules around to fix this. Shouldn't take more than 3-4 hours,\n// if you know what you're doing tho.\n\n// HACK: Not all browsers account for the scrollbar width in media queries.\n// This results in horizontal scrollbars in the breakpoint where we go\n// from displaying everything to hiding the ToC. We accomodate for this by\n// adding a bit of padding to the TOC drawer, disabling the horizontal\n// scrollbar and allowing the scrollbars to cover the padding.\n// https://www.456bereastreet.com/archive/201301/media_query_width_and_vertical_scrollbars/\n\n// HACK: Always having the scrollbar visible, prevents certain browsers from\n// causing the content to stutter horizontally between taller-than-viewport and\n// not-taller-than-viewport pages.\n\n$icon-size: 1.25rem\n\nhtml\n  overflow-x: hidden\n  overflow-y: scroll\n  scroll-behavior: smooth\n\n.sidebar-scroll, .toc-scroll, article[role=main] *\n  // Override Firefox scrollbar style\n  scrollbar-width: thin\n  scrollbar-color: var(--color-foreground-border) transparent\n\n  // Override Chrome scrollbar styles\n  &::-webkit-scrollbar\n    width: 0.25rem\n    height: 0.25rem\n  &::-webkit-scrollbar-thumb\n    background-color: var(--color-foreground-border)\n    border-radius: 0.125rem\n\n//\n// Overalls\n//\nhtml,\nbody\n  height: 100%\n  color: var(--color-foreground-primary)\n  background: var(--color-background-primary)\n\n.skip-to-content\n  position: fixed\n  padding: 1rem\n  border-radius: 1rem\n  left: 0.25rem\n  top: 0.25rem\n  z-index: 40\n  background: var(--color-background-primary)\n  color: var(--color-foreground-primary)\n\n  transform: translateY(-200%)\n  transition: transform 300ms ease-in-out\n\n  &:focus-within\n    transform: translateY(0%)\n\narticle\n  color: var(--color-content-foreground)\n  background: var(--color-content-background)\n  overflow-wrap: break-word\n\n.page\n  display: flex\n  // fill the viewport for pages with little content.\n  min-height: 100%\n\n.mobile-header\n  width: 100%\n  height: var(--header-height)\n  background-color: var(--color-header-background)\n  color: var(--color-header-text)\n  border-bottom: 1px solid var(--color-header-border)\n\n  // Looks like sub-script/super-script have this, and we need this to\n  // be \"on top\" of those.\n  z-index: 10\n\n  // We don't show the header on large screens.\n  display: none\n\n  // Add shadow when scrolled\n  &.scrolled\n    border-bottom: none\n    box-shadow: 0 0 0.2rem rgba(0, 0, 0, 0.1), 0 0.2rem 0.4rem rgba(0, 0, 0, 0.2)\n\n  .header-center\n    a\n      color: var(--color-header-text)\n      text-decoration: none\n\n.main\n  display: flex\n  flex: 1\n\n// Sidebar (left) also covers the entire left portion of screen.\n.sidebar-drawer\n  box-sizing: border-box\n\n  border-right: 1px solid var(--color-sidebar-background-border)\n  background: var(--color-sidebar-background)\n\n  display: flex\n  justify-content: flex-end\n  // These next two lines took me two days to figure out.\n  width: calc((100% - #{$full-width}) / 2 + #{$sidebar-width})\n  min-width: $sidebar-width\n\n// Scroll-along sidebars\n.sidebar-container,\n.toc-drawer\n  box-sizing: border-box\n  width: $sidebar-width\n\n.toc-drawer\n  background: var(--color-toc-background)\n  // See HACK described on top of this document\n  padding-right: 1rem\n\n.sidebar-sticky,\n.toc-sticky\n  position: sticky\n  top: 0\n  height: min(100%, 100vh)\n  height: 100vh\n\n  display: flex\n  flex-direction: column\n\n.sidebar-scroll,\n.toc-scroll\n  flex-grow: 1\n  flex-shrink: 1\n\n  overflow: auto\n  scroll-behavior: smooth\n\n// Central items.\n.content\n  padding: 0 $content-padding\n  width: $content-width\n\n  display: flex\n  flex-direction: column\n  justify-content: space-between\n\n.icon\n  display: inline-block\n  height: 1rem\n  width: 1rem\n  svg\n    width: 100%\n    height: 100%\n\n//\n// Accommodate announcement banner\n//\n.announcement\n  background-color: var(--color-announcement-background)\n  color: var(--color-announcement-text)\n\n  height: var(--header-height)\n  display: flex\n  align-items: center\n  overflow-x: auto\n  & + .page\n    min-height: calc(100% - var(--header-height))\n\n.announcement-content\n  box-sizing: border-box\n  padding: 0.5rem\n  min-width: 100%\n  white-space: nowrap\n  text-align: center\n\n  a\n    color: var(--color-announcement-text)\n    text-decoration-color: var(--color-announcement-text)\n\n    &:hover\n      color: var(--color-announcement-text)\n      text-decoration-color: var(--color-link--hover)\n\n////////////////////////////////////////////////////////////////////////////////\n// Toggles for theme\n////////////////////////////////////////////////////////////////////////////////\n.no-js .theme-toggle-container  // don't show theme toggle if there's no JS\n  display: none\n\n.theme-toggle-container\n  vertical-align: middle\n\n.theme-toggle\n  cursor: pointer\n  border: none\n  padding: 0\n  background: transparent\n\n.theme-toggle svg\n  vertical-align: middle\n  height: $icon-size\n  width: $icon-size\n  color: var(--color-foreground-primary)\n  display: none\n\n.theme-toggle-header\n  float: left\n  padding: 1rem 0.5rem\n\n////////////////////////////////////////////////////////////////////////////////\n// Toggles for elements\n////////////////////////////////////////////////////////////////////////////////\n.toc-overlay-icon, .nav-overlay-icon\n  display: none\n  cursor: pointer\n\n  .icon\n    color: var(--color-foreground-secondary)\n    height: $icon-size\n    width: $icon-size\n\n.toc-header-icon, .nav-overlay-icon\n  // for when we set display: flex\n  justify-content: center\n  align-items: center\n\n.toc-content-icon\n  height: 1.5rem\n  width: 1.5rem\n\n.content-icon-container\n  float: right\n  display: flex\n  margin-top: 1.5rem\n  margin-left: 1rem\n  margin-bottom: 1rem\n  gap: 0.5rem\n\n  .edit-this-page, .view-this-page\n    svg\n      color: inherit\n      height: $icon-size\n      width: $icon-size\n\n.sidebar-toggle\n  position: absolute\n  display: none\n// <debugging things>\n.sidebar-toggle[name=\"__toc\"]\n  left: 20px\n.sidebar-toggle:checked\n  left: 40px\n// </debugging things>\n\n.overlay\n  position: fixed\n  top: 0\n  width: 0\n  height: 0\n\n  transition: width 0ms, height 0ms, opacity 250ms ease-out\n\n  opacity: 0\n  background-color: rgba(0, 0, 0, 0.54)\n.sidebar-overlay\n  z-index: 20\n.toc-overlay\n  z-index: 40\n\n// Keep things on top and smooth.\n.sidebar-drawer\n  z-index: 30\n  transition: left 250ms ease-in-out\n.toc-drawer\n  z-index: 50\n  transition: right 250ms ease-in-out\n\n// Show the Sidebar\n#__navigation:checked\n  & ~ .sidebar-overlay\n    width: 100%\n    height: 100%\n    opacity: 1\n  & ~ .page\n    .sidebar-drawer\n      top: 0\n      left: 0\n      // Show the toc sidebar\n#__toc:checked\n  & ~ .toc-overlay\n    width: 100%\n    height: 100%\n    opacity: 1\n  & ~ .page\n    .toc-drawer\n      top: 0\n      right: 0\n\n////////////////////////////////////////////////////////////////////////////////\n// Back to top\n////////////////////////////////////////////////////////////////////////////////\n.back-to-top\n  text-decoration: none\n\n  display: none\n  position: fixed\n  left: 0\n  top: 1rem\n  padding: 0.5rem\n  padding-right: 0.75rem\n  border-radius: 1rem\n  font-size: 0.8125rem\n\n  background: var(--color-background-primary)\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), #6b728080 0px 0px 1px 0px\n\n  z-index: 10\n\n  margin-left: 50%\n  transform: translateX(-50%)\n  svg\n    height: 1rem\n    width: 1rem\n    fill: currentColor\n    display: inline-block\n\n  span\n    margin-left: 0.25rem\n\n  .show-back-to-top &\n    display: flex\n    align-items: center\n\n////////////////////////////////////////////////////////////////////////////////\n// Responsive layouting\n////////////////////////////////////////////////////////////////////////////////\n// Make things a bit bigger on bigger screens.\n@media (min-width: $full-width + $sidebar-width)\n  html\n    font-size: 110%\n\n@media (max-width: $full-width)\n  // Collapse \"toc\" into the icon.\n  .toc-content-icon\n    display: flex\n  .toc-drawer\n    position: fixed\n    height: 100vh\n    top: 0\n    right: -$sidebar-width\n    border-left: 1px solid var(--color-background-muted)\n  .toc-tree\n    border-left: none\n    font-size: var(--toc-font-size--mobile)\n\n  // Accomodate for a changed content width.\n  .sidebar-drawer\n    width: calc((100% - #{$full-width - $sidebar-width}) / 2 + #{$sidebar-width})\n\n@media (max-width: $full-width - $sidebar-width)\n  // Collapse \"navigation\".\n  .nav-overlay-icon\n    display: flex\n  .sidebar-drawer\n    position: fixed\n    height: 100vh\n    width: $sidebar-width\n\n    top: 0\n    left: -$sidebar-width\n\n  // Swap which icon is visible.\n  .toc-header-icon\n    display: flex\n  .toc-content-icon, .theme-toggle-content\n    display: none\n  .theme-toggle-header\n    display: block\n\n  // Show the header.\n  .mobile-header\n    position: sticky\n    top: 0\n    display: flex\n    justify-content: space-between\n    align-items: center\n\n    .header-left,\n    .header-right\n      display: flex\n      height: var(--header-height)\n      padding: 0 var(--header-padding)\n      label\n        height: 100%\n        width: 100%\n        user-select: none\n\n  .nav-overlay-icon .icon,\n  .theme-toggle svg\n    height: $icon-size\n    width: $icon-size\n\n  // Add a scroll margin for the content\n  :target\n    scroll-margin-top: calc(var(--header-height) + 2.5rem)\n\n  // Show back-to-top below the header\n  .back-to-top\n    top: calc(var(--header-height) + 0.5rem)\n\n  // Center the page, and accommodate for the header.\n  .page\n    flex-direction: column\n    justify-content: center\n  .content\n    margin-left: auto\n    margin-right: auto\n\n@media (max-width: $content-width + 2* $content-padding)\n  // Content should respect window limits.\n  .content\n    width: 100%\n    overflow-x: auto\n\n@media (max-width: $content-width)\n  .content\n    padding: 0 $content-padding--small\n    // Don't float sidebars to the right.\n  article aside.sidebar\n    float: none\n    width: 100%\n    margin: 1rem 0\n","// Overall Layout Variables\n//\n// Because CSS variables can't be used in media queries. The fact that this\n// makes the layout non-user-configurable is a good thing.\n$content-padding: 3em;\n$content-padding--small: 1em;\n$content-width: 46em;\n$sidebar-width: 15em;\n$full-width: $content-width + 2 * ($content-padding + $sidebar-width);\n","//\n// The design here is strongly inspired by mkdocs-material.\n.admonition, .topic\n  margin: 1rem auto\n  padding: 0 0.5rem 0.5rem 0.5rem\n\n  background: var(--color-admonition-background)\n\n  border-radius: 0.2rem\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n  font-size: var(--admonition-font-size)\n\n  overflow: hidden\n  page-break-inside: avoid\n\n  // First element should have no margin, since the title has it.\n  > :nth-child(2)\n    margin-top: 0\n\n  // Last item should have no margin, since we'll control that w/ padding\n  > :last-child\n    margin-bottom: 0\n\n.admonition p.admonition-title,\np.topic-title\n  position: relative\n  margin: 0 -0.5rem 0.5rem\n  padding-left: 2rem\n  padding-right: .5rem\n  padding-top: .4rem\n  padding-bottom: .4rem\n\n  font-weight: 500\n  font-size: var(--admonition-title-font-size)\n  line-height: 1.3\n\n    // Our fancy icon\n  &::before\n    content: \"\"\n    position: absolute\n    left: 0.5rem\n    width: 1rem\n    height: 1rem\n\n// Default styles\np.admonition-title\n  background-color: var(--color-admonition-title-background)\n  &::before\n    background-color: var(--color-admonition-title)\n    mask-image: var(--icon-admonition-default)\n    mask-repeat: no-repeat\n\np.topic-title\n  background-color: var(--color-topic-title-background)\n  &::before\n    background-color: var(--color-topic-title)\n    mask-image: var(--icon-topic-default)\n    mask-repeat: no-repeat\n\n//\n// Variants\n//\n.admonition\n  border-left: 0.2rem solid var(--color-admonition-title)\n\n  @each $type, $value in $admonitions\n    &.#{$type}\n      border-left-color: var(--color-admonition-title--#{$type})\n      > .admonition-title\n        background-color: var(--color-admonition-title-background--#{$type})\n        &::before\n          background-color: var(--color-admonition-title--#{$type})\n          mask-image: var(--icon-#{nth($value, 2)})\n\n.admonition-todo > .admonition-title\n  text-transform: uppercase\n","// This file stylizes the API documentation (stuff generated by autodoc). It's\n// deeply nested due to how autodoc structures the HTML without enough classes\n// to select the relevant items.\n\n// API docs!\ndl[class]:not(.option-list):not(.field-list):not(.footnote):not(.glossary):not(.simple)\n  // Tweak the spacing of all the things!\n  dd\n    margin-left: 2rem\n    > :first-child\n      margin-top: 0.125rem\n    > :last-child\n      margin-bottom: 0.75rem\n\n  // This is used for the arguments\n  .field-list\n    margin-bottom: 0.75rem\n\n    // \"Headings\" (like \"Parameters\" and \"Return\")\n    > dt\n      text-transform: uppercase\n      font-size: var(--font-size--small)\n\n    dd:empty\n      margin-bottom: 0.5rem\n    dd > ul\n      margin-left: -1.2rem\n      > li\n        > p:nth-child(2)\n          margin-top: 0\n        // When the last-empty-paragraph follows a paragraph, it doesn't need\n        // to augument the existing spacing.\n        > p + p:last-child:empty\n          margin-top: 0\n          margin-bottom: 0\n\n  // Colorize the elements\n  > dt\n    color: var(--color-api-overall)\n\n.sig:not(.sig-inline)\n  font-weight: bold\n\n  font-size: var(--api-font-size)\n  font-family: var(--font-stack--monospace)\n\n  margin-left: -0.25rem\n  margin-right: -0.25rem\n  padding-top: 0.25rem\n  padding-bottom: 0.25rem\n  padding-right: 0.5rem\n\n  // These are intentionally em, to properly match the font size.\n  padding-left: 3em\n  text-indent: -2.5em\n\n  border-radius: 0.25rem\n\n  background: var(--color-api-background)\n  transition: background 100ms ease-out\n\n  &:hover\n    background: var(--color-api-background-hover)\n\n  // adjust the size of the [source] link on the right.\n  a.reference\n    .viewcode-link\n      font-weight: normal\n      width: 4.25rem\n\nem.property\n  font-style: normal\n  &:first-child\n    color: var(--color-api-keyword)\n.sig-name\n  color: var(--color-api-name)\n.sig-prename\n  font-weight: normal\n  color: var(--color-api-pre-name)\n.sig-paren\n  color: var(--color-api-paren)\n.sig-param\n  font-style: normal\n\ndiv.versionadded,\ndiv.versionchanged,\ndiv.deprecated,\ndiv.versionremoved\n  border-left: 0.1875rem solid\n  border-radius: 0.125rem\n\n  padding-left: 0.75rem\n\n  p\n    margin-top: 0.125rem\n    margin-bottom: 0.125rem\n\ndiv.versionadded\n  border-color: var(--color-api-added-border)\n  .versionmodified\n    color: var(--color-api-added)\n\ndiv.versionchanged\n  border-color: var(--color-api-changed-border)\n  .versionmodified\n    color: var(--color-api-changed)\n\ndiv.deprecated\n  border-color: var(--color-api-deprecated-border)\n  .versionmodified\n    color: var(--color-api-deprecated)\n\ndiv.versionremoved\n  border-color: var(--color-api-removed-border)\n  .versionmodified\n    color: var(--color-api-removed)\n\n// Align the [docs] and [source] to the right.\n.viewcode-link, .viewcode-back\n  float: right\n  text-align: right\n",".line-block\n  margin-top: 0.5rem\n  margin-bottom: 0.75rem\n  .line-block\n    margin-top: 0rem\n    margin-bottom: 0rem\n    padding-left: 1rem\n","// Captions\narticle p.caption,\ntable > caption,\n.code-block-caption\n  font-size: var(--font-size--small)\n  text-align: center\n\n// Caption above a TOCTree\n.toctree-wrapper.compound\n  .caption, :not(.caption) > .caption-text\n    font-size: var(--font-size--small)\n    text-transform: uppercase\n\n    text-align: initial\n    margin-bottom: 0\n\n  > ul\n    margin-top: 0\n    margin-bottom: 0\n","// Inline code\ncode.literal, .sig-inline\n  background: var(--color-inline-code-background)\n  border-radius: 0.2em\n  // Make the font smaller, and use padding to recover.\n  font-size: var(--font-size--small--2)\n  padding: 0.1em 0.2em\n\n  pre.literal-block &\n    font-size: inherit\n    padding: 0\n\n  p &\n    border: 1px solid var(--color-background-border)\n\n.sig-inline\n  font-family: var(--font-stack--monospace)\n\n// Code and Literal Blocks\n$code-spacing-vertical: 0.625rem\n$code-spacing-horizontal: 0.875rem\n\n// Wraps every literal block + line numbers.\ndiv[class*=\" highlight-\"],\ndiv[class^=\"highlight-\"]\n  margin: 1em 0\n  display: flex\n\n  .table-wrapper\n    margin: 0\n    padding: 0\n\npre\n  margin: 0\n  padding: 0\n  overflow: auto\n\n  // Needed to have more specificity than pygments' \"pre\" selector. :(\n  article[role=\"main\"] .highlight &\n    line-height: 1.5\n\n  &.literal-block,\n  .highlight &\n    font-size: var(--code-font-size)\n    padding: $code-spacing-vertical $code-spacing-horizontal\n\n  // Make it look like all the other blocks.\n  &.literal-block\n    margin-top: 1rem\n    margin-bottom: 1rem\n\n    border-radius: 0.2rem\n    background-color: var(--color-code-background)\n    color: var(--color-code-foreground)\n\n// All code is always contained in this.\n.highlight\n  width: 100%\n  border-radius: 0.2rem\n\n  // Make line numbers and prompts un-selectable.\n  .gp, span.linenos\n    user-select: none\n    pointer-events: none\n\n  // Expand the line-highlighting.\n  .hll\n    display: block\n    margin-left: -$code-spacing-horizontal\n    margin-right: -$code-spacing-horizontal\n    padding-left: $code-spacing-horizontal\n    padding-right: $code-spacing-horizontal\n\n/* Make code block captions be nicely integrated */\n.code-block-caption\n  display: flex\n  padding: $code-spacing-vertical $code-spacing-horizontal\n\n  border-radius: 0.25rem\n  border-bottom-left-radius: 0\n  border-bottom-right-radius: 0\n  font-weight: 300\n  border-bottom: 1px solid\n\n  background-color: var(--color-code-background)\n  color: var(--color-code-foreground)\n  border-color: var(--color-background-border)\n\n  + div[class]\n    margin-top: 0\n    pre\n      border-top-left-radius: 0\n      border-top-right-radius: 0\n\n// When `html_codeblock_linenos_style` is table.\n.highlighttable\n  width: 100%\n  display: block\n  tbody\n    display: block\n\n  tr\n    display: flex\n\n  // Line numbers\n  td.linenos\n    background-color: var(--color-code-background)\n    color: var(--color-code-foreground)\n    padding: $code-spacing-vertical $code-spacing-horizontal\n    padding-right: 0\n    border-top-left-radius: 0.2rem\n    border-bottom-left-radius: 0.2rem\n\n  .linenodiv\n    padding-right: $code-spacing-horizontal\n    font-size: var(--code-font-size)\n    box-shadow: -0.0625rem 0 var(--color-foreground-border) inset\n\n  // Actual code\n  td.code\n    padding: 0\n    display: block\n    flex: 1\n    overflow: hidden\n\n    .highlight\n      border-top-left-radius: 0\n      border-bottom-left-radius: 0\n\n// When `html_codeblock_linenos_style` is inline.\n.highlight\n  span.linenos\n    display: inline-block\n    padding-left: 0\n    padding-right: $code-spacing-horizontal\n    margin-right: $code-spacing-horizontal\n    box-shadow: -0.0625rem 0 var(--color-foreground-border) inset\n","// Inline Footnote Reference\n.footnote-reference\n  font-size: var(--font-size--small--4)\n  vertical-align: super\n\n// Definition list, listing the content of each note.\n// docutils <= 0.17\ndl.footnote.brackets\n  font-size: var(--font-size--small)\n  color: var(--color-foreground-secondary)\n\n  display: grid\n  grid-template-columns: max-content auto\n  dt\n    margin: 0\n    > .fn-backref\n      margin-left: 0.25rem\n\n    &:after\n      content: \":\"\n\n    .brackets\n      &:before\n        content: \"[\"\n      &:after\n        content: \"]\"\n\n  dd\n    margin: 0\n    padding: 0 1rem\n\n// docutils >= 0.18\naside.footnote\n  font-size: var(--font-size--small)\n  color: var(--color-foreground-secondary)\n\naside.footnote > span,\ndiv.citation > span\n  float: left\n  font-weight: 500\n  padding-right: 0.25rem\n\naside.footnote > *:not(span),\ndiv.citation > p\n  margin-left: 2rem\n","//\n// Figures\n//\nimg\n  box-sizing: border-box\n  max-width: 100%\n  height: auto\n\narticle\n  figure, .figure\n    border-radius: 0.2rem\n\n    margin: 0\n    :last-child\n      margin-bottom: 0\n\n  .align-left\n    float: left\n    clear: left\n    margin: 0 1rem 1rem\n\n  .align-right\n    float: right\n    clear: right\n    margin: 0 1rem 1rem\n\n  .align-default,\n  .align-center\n    display: block\n    text-align: center\n    margin-left: auto\n    margin-right: auto\n\n  // WELL, table needs to be stylised like a table.\n  table.align-default\n    display: table\n    text-align: initial\n",".genindex-jumpbox, .domainindex-jumpbox\n  border-top: 1px solid var(--color-background-border)\n  border-bottom: 1px solid var(--color-background-border)\n  padding: 0.25rem\n\n.genindex-section, .domainindex-section\n  h2\n    margin-top: 0.75rem\n    margin-bottom: 0.5rem\n  ul\n    margin-top: 0\n    margin-bottom: 0\n","ul,\nol\n  padding-left: 1.2rem\n\n  // Space lists out like paragraphs\n  margin-top: 1rem\n  margin-bottom: 1rem\n  // reduce margins within li.\n  li\n    > p:first-child\n      margin-top: 0.25rem\n      margin-bottom: 0.25rem\n\n    > p:last-child\n      margin-top: 0.25rem\n\n    > ul,\n    > ol\n      margin-top: 0.5rem\n      margin-bottom: 0.5rem\n\nol\n  &.arabic\n    list-style: decimal\n  &.loweralpha\n    list-style: lower-alpha\n  &.upperalpha\n    list-style: upper-alpha\n  &.lowerroman\n    list-style: lower-roman\n  &.upperroman\n    list-style: upper-roman\n\n// Don't space lists out when they're \"simple\" or in a `.. toctree::`\n.simple,\n.toctree-wrapper\n  li\n    > ul,\n    > ol\n      margin-top: 0\n      margin-bottom: 0\n\n// Definition Lists\n.field-list,\n.option-list,\ndl:not([class]),\ndl.simple,\ndl.footnote,\ndl.glossary\n  dt\n    font-weight: 500\n    margin-top: 0.25rem\n    + dt\n      margin-top: 0\n\n    .classifier::before\n      content: \":\"\n      margin-left: 0.2rem\n      margin-right: 0.2rem\n\n  dd\n    > p:first-child,\n    ul\n      margin-top: 0.125rem\n\n    ul\n      margin-bottom: 0.125rem\n",".math-wrapper\n  width: 100%\n  overflow-x: auto\n\ndiv.math\n  position: relative\n  text-align: center\n\n  .headerlink,\n  &:focus .headerlink\n    display: none\n\n  &:hover .headerlink\n    display: inline-block\n\n  span.eqno\n    position: absolute\n    right: 0.5rem\n    top: 50%\n    transform: translate(0, -50%)\n    z-index: 1\n","// Abbreviations\nabbr[title]\n  cursor: help\n\n// \"Problematic\" content, as identified by Sphinx\n.problematic\n  color: var(--color-problematic)\n\n// Keyboard / Mouse \"instructions\"\nkbd:not(.compound)\n  margin: 0 0.2rem\n  padding: 0 0.2rem\n  border-radius: 0.2rem\n  border: 1px solid var(--color-foreground-border)\n  color: var(--color-foreground-primary)\n  vertical-align: text-bottom\n\n  font-size: var(--font-size--small--3)\n  display: inline-block\n\n  box-shadow: 0 0.0625rem 0 rgba(0, 0, 0, 0.2), inset 0 0 0 0.125rem var(--color-background-primary)\n\n  background-color: var(--color-background-secondary)\n\n// Blockquote\nblockquote\n  border-left: 4px solid var(--color-background-border)\n  background: var(--color-background-secondary)\n\n  margin-left: 0\n  margin-right: 0\n  padding: 0.5rem 1rem\n\n  .attribution\n    font-weight: 600\n    text-align: right\n\n  &.pull-quote,\n  &.highlights\n    font-size: 1.25em\n\n  &.epigraph,\n  &.pull-quote\n    border-left-width: 0\n    border-radius: 0.5rem\n\n  &.highlights\n    border-left-width: 0\n    background: transparent\n\n// Center align embedded-in-text images\np .reference img\n  vertical-align: middle\n","p.rubric\n  line-height: 1.25\n  font-weight: bold\n  font-size: 1.125em\n\n  // For Numpy-style documentation that's got rubrics within it.\n  // https://github.com/pradyunsg/furo/discussions/505\n  dd &\n    line-height: inherit\n    font-weight: inherit\n\n    font-size: var(--font-size--small)\n    text-transform: uppercase\n","article .sidebar\n  float: right\n  clear: right\n  width: 30%\n\n  margin-left: 1rem\n  margin-right: 0\n\n  border-radius: 0.2rem\n  background-color: var(--color-background-secondary)\n  border: var(--color-background-border) 1px solid\n\n  > *\n    padding-left: 1rem\n    padding-right: 1rem\n\n  > ul, > ol  // lists need additional padding, because bullets.\n    padding-left: 2.2rem\n\n  .sidebar-title\n    margin: 0\n    padding: 0.5rem 1rem\n    border-bottom: var(--color-background-border) 1px solid\n\n    font-weight: 500\n\n// TODO: subtitle\n// TODO: dedicated variables?\n",".table-wrapper\n  width: 100%\n  overflow-x: auto\n  margin-top: 1rem\n  margin-bottom: 0.5rem\n  padding: 0.2rem 0.2rem 0.75rem\n\ntable.docutils\n  border-radius: 0.2rem\n  border-spacing: 0\n  border-collapse: collapse\n\n  box-shadow: 0 0.2rem 0.5rem rgba(0, 0, 0, 0.05), 0 0 0.0625rem rgba(0, 0, 0, 0.1)\n\n  th\n    background: var(--color-table-header-background)\n\n  td,\n  th\n    // Space things out properly\n    padding: 0 0.25rem\n\n    // Get the borders looking just-right.\n    border-left: 1px solid var(--color-table-border)\n    border-right: 1px solid var(--color-table-border)\n    border-bottom: 1px solid var(--color-table-border)\n\n    p\n      margin: 0.25rem\n\n    &:first-child\n      border-left: none\n    &:last-child\n      border-right: none\n\n    // MyST-parser tables set these classes for control of column alignment\n    &.text-left\n      text-align: left\n    &.text-right\n      text-align: right\n    &.text-center\n      text-align: center\n",":target\n  scroll-margin-top: 2.5rem\n\n@media (max-width: $full-width - $sidebar-width)\n  :target\n    scroll-margin-top: calc(2.5rem + var(--header-height))\n\n  // When a heading is selected\n  section > span:target\n    scroll-margin-top: calc(2.8rem + var(--header-height))\n\n// Permalinks\n.headerlink\n  font-weight: 100\n  user-select: none\n\nh1,\nh2,\nh3,\nh4,\nh5,\nh6,\ndl dt,\np.caption,\nfigcaption p,\ntable > caption,\n.code-block-caption\n  > .headerlink\n    margin-left: 0.5rem\n    visibility: hidden\n  &:hover > .headerlink\n    visibility: visible\n\n  // Don't change to link-like, if someone adds the contents directive.\n  > .toc-backref\n    color: inherit\n    text-decoration-line: none\n\n// Figure and table captions are special.\nfigure:hover > figcaption > p > .headerlink,\ntable:hover > caption > .headerlink\n  visibility: visible\n\n:target >,  // Regular section[id] style anchors\nspan:target ~ // Non-regular span[id] style \"extra\" anchors\n  h1,\n  h2,\n  h3,\n  h4,\n  h5,\n  h6\n    &:nth-of-type(1)\n      background-color: var(--color-highlight-on-target)\n      // .headerlink\n      //   visibility: visible\n      code.literal\n        background-color: transparent\n\ntable:target > caption,\nfigure:target\n  background-color: var(--color-highlight-on-target)\n\n// Inline page contents\n.this-will-duplicate-information-and-it-is-still-useful-here li :target\n  background-color: var(--color-highlight-on-target)\n\n// Code block permalinks\n.literal-block-wrapper:target .code-block-caption\n  background-color: var(--color-highlight-on-target)\n\n// When a definition list item is selected\n//\n//   There isn't really an alternative to !important here, due to the\n//   high-specificity of API documentation's selector.\ndt:target\n  background-color: var(--color-highlight-on-target) !important\n\n// When a footnote reference is selected\n.footnote > dt:target + dd,\n.footnote-reference:target\n  background-color: var(--color-highlight-on-target)\n",".guilabel\n  background-color: var(--color-guilabel-background)\n  border: 1px solid var(--color-guilabel-border)\n  color: var(--color-guilabel-text)\n\n  padding: 0 0.3em\n  border-radius: 0.5em\n  font-size: 0.9em\n","// This file contains the styles used for stylizing the footer that's shown\n// below the content.\n\nfooter\n  font-size: var(--font-size--small)\n  display: flex\n  flex-direction: column\n\n  margin-top: 2rem\n\n// Bottom of page information\n.bottom-of-page\n  display: flex\n  align-items: center\n  justify-content: space-between\n\n  margin-top: 1rem\n  padding-top: 1rem\n  padding-bottom: 1rem\n\n  color: var(--color-foreground-secondary)\n  border-top: 1px solid var(--color-background-border)\n\n  line-height: 1.5\n\n  @media (max-width: $content-width)\n    text-align: center\n    flex-direction: column-reverse\n    gap: 0.25rem\n\n  .left-details\n    font-size: var(--font-size--small)\n\n  .right-details\n    display: flex\n    flex-direction: column\n    gap: 0.25rem\n    text-align: right\n\n  .icons\n    display: flex\n    justify-content: flex-end\n    gap: 0.25rem\n    font-size: 1rem\n\n    a\n      text-decoration: none\n\n    svg,\n    img\n      font-size: 1.125rem\n      height: 1em\n      width: 1em\n\n// Next/Prev page information\n.related-pages\n  a\n    display: flex\n    align-items: center\n\n    text-decoration: none\n    &:hover .page-info .title\n      text-decoration: underline\n      color: var(--color-link)\n      text-decoration-color: var(--color-link-underline)\n\n    svg.furo-related-icon,\n    svg.furo-related-icon > use\n      flex-shrink: 0\n\n      color: var(--color-foreground-border)\n\n      width: 0.75rem\n      height: 0.75rem\n      margin: 0 0.5rem\n\n    &.next-page\n      max-width: 50%\n\n      float: right\n      clear: right\n      text-align: right\n\n    &.prev-page\n      max-width: 50%\n\n      float: left\n      clear: left\n\n      svg\n        transform: rotate(180deg)\n\n.page-info\n  display: flex\n  flex-direction: column\n  overflow-wrap: anywhere\n\n  .next-page &\n    align-items: flex-end\n\n  .context\n    display: flex\n    align-items: center\n\n    padding-bottom: 0.1rem\n\n    color: var(--color-foreground-muted)\n    font-size: var(--font-size--small)\n    text-decoration: none\n","// This file contains the styles for the contents of the left sidebar, which\n// contains the navigation tree, logo, search etc.\n\n////////////////////////////////////////////////////////////////////////////////\n// Brand on top of the scrollable tree.\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-brand\n  display: flex\n  flex-direction: column\n  flex-shrink: 0\n\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n  text-decoration: none\n\n.sidebar-brand-text\n  color: var(--color-sidebar-brand-text)\n  overflow-wrap: break-word\n  margin: var(--sidebar-item-spacing-vertical) 0\n  font-size: 1.5rem\n\n.sidebar-logo-container\n  margin: var(--sidebar-item-spacing-vertical) 0\n\n.sidebar-logo\n  margin: 0 auto\n  display: block\n  max-width: 100%\n\n////////////////////////////////////////////////////////////////////////////////\n// Search\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-search-container\n  display: flex\n  align-items: center\n  margin-top: var(--sidebar-search-space-above)\n\n  position: relative\n\n  background: var(--color-sidebar-search-background)\n  &:hover,\n  &:focus-within\n    background: var(--color-sidebar-search-background--focus)\n\n  &::before\n    content: \"\"\n    position: absolute\n    left: var(--sidebar-item-spacing-horizontal)\n    width: var(--sidebar-search-icon-size)\n    height: var(--sidebar-search-icon-size)\n\n    background-color: var(--color-sidebar-search-icon)\n    mask-image: var(--icon-search)\n\n.sidebar-search\n  box-sizing: border-box\n\n  border: none\n  border-top: 1px solid var(--color-sidebar-search-border)\n  border-bottom: 1px solid var(--color-sidebar-search-border)\n\n  padding-top: var(--sidebar-search-input-spacing-vertical)\n  padding-bottom: var(--sidebar-search-input-spacing-vertical)\n  padding-right: var(--sidebar-search-input-spacing-horizontal)\n  padding-left: calc(var(--sidebar-item-spacing-horizontal) + var(--sidebar-search-input-spacing-horizontal) + var(--sidebar-search-icon-size))\n\n  width: 100%\n\n  color: var(--color-sidebar-search-foreground)\n  background: transparent\n  z-index: 10\n\n  &:focus\n    outline: none\n\n  &::placeholder\n    font-size: var(--sidebar-search-input-font-size)\n\n//\n// Hide Search Matches link\n//\n#searchbox .highlight-link\n  padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal) 0\n  margin: 0\n  text-align: center\n\n  a\n    color: var(--color-sidebar-search-icon)\n    font-size: var(--font-size--small--2)\n\n////////////////////////////////////////////////////////////////////////////////\n// Structure/Skeleton of the navigation tree (left)\n////////////////////////////////////////////////////////////////////////////////\n.sidebar-tree\n  font-size: var(--sidebar-item-font-size)\n  margin-top: var(--sidebar-tree-space-above)\n  margin-bottom: var(--sidebar-item-spacing-vertical)\n\n  ul\n    padding: 0\n    margin-top: 0\n    margin-bottom: 0\n\n    display: flex\n    flex-direction: column\n\n    list-style: none\n\n  li\n    position: relative\n    margin: 0\n\n    > ul\n      margin-left: var(--sidebar-item-spacing-horizontal)\n\n  .icon\n    color: var(--color-sidebar-link-text)\n\n  .reference\n    box-sizing: border-box\n    color: var(--color-sidebar-link-text)\n\n    // Fill the parent.\n    display: inline-block\n    line-height: var(--sidebar-item-line-height)\n    text-decoration: none\n\n    // Don't allow long words to cause wrapping.\n    overflow-wrap: anywhere\n\n    height: 100%\n    width: 100%\n\n    padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n    &:hover\n      color: var(--color-sidebar-link-text)\n      background: var(--color-sidebar-item-background--hover)\n\n    // Add a nice little \"external-link\" arrow here.\n    &.external::after\n      content: url('data:image/svg+xml,<svg width=\"12\" height=\"12\" xmlns=\"http://www.w3.org/2000/svg\" viewBox=\"0 0 24 24\" stroke-width=\"1.5\" stroke=\"%23607D8B\" fill=\"none\" stroke-linecap=\"round\" stroke-linejoin=\"round\"><path stroke=\"none\" d=\"M0 0h24v24H0z\"/><path d=\"M11 7h-5a2 2 0 0 0 -2 2v9a2 2 0 0 0 2 2h9a2 2 0 0 0 2 -2v-5\" /><line x1=\"10\" y1=\"14\" x2=\"20\" y2=\"4\" /><polyline points=\"15 4 20 4 20 9\" /></svg>')\n      margin: 0 0.25rem\n      vertical-align: middle\n      color: var(--color-sidebar-link-text)\n\n  // Make the current page reference bold.\n  .current-page > .reference\n    font-weight: bold\n\n  label\n    position: absolute\n    top: 0\n    right: 0\n    height: var(--sidebar-item-height)\n    width: var(--sidebar-expander-width)\n\n    cursor: pointer\n    user-select: none\n\n    display: flex\n    justify-content: center\n    align-items: center\n\n  .caption, :not(.caption) > .caption-text\n    font-size: var(--sidebar-caption-font-size)\n    color: var(--color-sidebar-caption-text)\n\n    font-weight: bold\n    text-transform: uppercase\n\n    margin: var(--sidebar-caption-space-above) 0 0 0\n    padding: var(--sidebar-item-spacing-vertical) var(--sidebar-item-spacing-horizontal)\n\n  // If it has children, add a bit more padding to wrap the content to avoid\n  // overlapping with the <label>\n  li.has-children\n    > .reference\n      padding-right: var(--sidebar-expander-width)\n\n  // Colorize the top-level list items and icon.\n  .toctree-l1\n    & > .reference,\n    & > label .icon\n      color: var(--color-sidebar-link-text--top-level)\n\n  // Color changes on hover\n  label\n    background: var(--color-sidebar-item-expander-background)\n    &:hover\n      background: var(--color-sidebar-item-expander-background--hover)\n\n  .current > .reference\n    background: var(--color-sidebar-item-background--current)\n    &:hover\n      background: var(--color-sidebar-item-background--hover)\n\n.toctree-checkbox\n  position: absolute\n  display: none\n\n////////////////////////////////////////////////////////////////////////////////\n// Togglable expand/collapse\n////////////////////////////////////////////////////////////////////////////////\n.toctree-checkbox\n  ~ ul\n    display: none\n\n  ~ label .icon svg\n    transform: rotate(90deg)\n\n.toctree-checkbox:checked\n  ~ ul\n    display: block\n\n  ~ label .icon svg\n    transform: rotate(-90deg)\n","// This file contains the styles for the contents of the right sidebar, which\n// contains the table of contents for the current page.\n.toc-title-container\n  padding: var(--toc-title-padding)\n  padding-top: var(--toc-spacing-vertical)\n\n.toc-title\n  color: var(--color-toc-title-text)\n  font-size: var(--toc-title-font-size)\n  padding-left: var(--toc-spacing-horizontal)\n  text-transform: uppercase\n\n// If the ToC is not present, hide these elements coz they're not relevant.\n.no-toc\n  display: none\n\n.toc-tree-container\n  padding-bottom: var(--toc-spacing-vertical)\n\n.toc-tree\n  font-size: var(--toc-font-size)\n  line-height: 1.3\n  border-left: 1px solid var(--color-background-border)\n\n  padding-left: calc(var(--toc-spacing-horizontal) - var(--toc-item-spacing-horizontal))\n\n  // Hide the first \"top level\" bullet.\n  > ul > li:first-child\n    padding-top: 0\n    & > ul\n      padding-left: 0\n    & > a\n      display: none\n\n  ul\n    list-style-type: none\n    margin-top: 0\n    margin-bottom: 0\n    padding-left: var(--toc-item-spacing-horizontal)\n  li\n    padding-top: var(--toc-item-spacing-vertical)\n\n    &.scroll-current > .reference\n      color: var(--color-toc-item-text--active)\n      font-weight: bold\n\n  a.reference\n    color: var(--color-toc-item-text)\n    text-decoration: none\n    overflow-wrap: anywhere\n\n.toc-scroll\n  max-height: 100vh\n  overflow-y: scroll\n\n// Be very annoying when someone includes the table of contents\n.contents:not(.this-will-duplicate-information-and-it-is-still-useful-here)\n  color: var(--color-problematic)\n  background: rgba(255, 0, 0, 0.25)\n  &::before\n    content: \"ERROR: Adding a table of contents in Furo-based documentation is unnecessary, and does not work well with existing styling. Add a 'this-will-duplicate-information-and-it-is-still-useful-here' class, if you want an escape hatch.\"\n","// Shameful hacks, to work around bugs.\n\n// MyST parser doesn't correctly generate classes, to align table contents.\n// https://github.com/executablebooks/MyST-Parser/issues/412\n.text-align\\:left > p\n  text-align: left\n\n.text-align\\:center > p\n  text-align: center\n\n.text-align\\:right > p\n  text-align: right\n"],"names":[],"sourceRoot":""}
\ No newline at end of file
diff --git a/docs/python-documentation/api.html b/docs/python-documentation/api.html
new file mode 100644
index 00000000..c95f68c3
--- /dev/null
+++ b/docs/python-documentation/api.html
@@ -0,0 +1,638 @@
+<!doctype html>
+<html class="no-js" lang="en" data-content_root="">
+  <head><meta charset="utf-8"/>
+    <meta name="viewport" content="width=device-width,initial-scale=1"/>
+    <meta name="color-scheme" content="light dark"><meta name="viewport" content="width=device-width, initial-scale=1" />
+<link rel="index" title="Index" href="genindex.html" /><link rel="search" title="Search" href="search.html" /><link rel="prev" title="Causal Inference" href="causal.html" />
+
+    <!-- Generated with Sphinx 7.1.2 and Furo 2024.05.06 -->
+        <title>StochTree API - stochtree 0.0.1 documentation</title>
+      <link rel="stylesheet" type="text/css" href="_static/pygments.css?v=a746c00c" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo.css?v=387cc868" />
+    <link rel="stylesheet" type="text/css" href="_static/styles/furo-extensions.css?v=36a5483c" />
+    
+    
+
+
+<style>
+  body {
+    --color-code-background: #f8f8f8;
+  --color-code-foreground: black;
+  
+  }
+  @media not print {
+    body[data-theme="dark"] {
+      --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+    }
+    @media (prefers-color-scheme: dark) {
+      body:not([data-theme="light"]) {
+        --color-code-background: #202020;
+  --color-code-foreground: #d0d0d0;
+  
+      }
+    }
+  }
+</style></head>
+  <body>
+    
+    <script>
+      document.body.dataset.theme = localStorage.getItem("theme") || "auto";
+    </script>
+    
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+        <article role="main" id="furo-main-content">
+          <section id="stochtree-api">
+<h1>StochTree API<a class="headerlink" href="#stochtree-api" title="Permalink to this heading">¶</a></h1>
+<section id="bart">
+<h2>BART<a class="headerlink" href="#bart" title="Permalink to this heading">¶</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="stochtree.bart.BARTModel">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">stochtree.bart.</span></span><span class="sig-name descname"><span class="pre">BARTModel</span></span><a class="headerlink" href="#stochtree.bart.BARTModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Class that handles sampling, storage, and serialization of stochastic forest models like BART, XBART, and Warm-Start BART</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="stochtree.bart.BARTModel.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">covariates</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">array</span></span></span><a class="headerlink" href="#stochtree.bart.BARTModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict outcome from every retained forest of a BART sampler.</p>
+<section id="parameters">
+<h3>Parameters<a class="headerlink" href="#parameters" title="Permalink to this heading">¶</a></h3>
+<dl>
+<dt>covariates<span class="classifier">np.array</span></dt><dd><p>Test set covariates.</p>
+</dd>
+<dt>basis_train<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Optional test set basis vector, must be provided if the model was trained with a leaf regression basis.</p>
+</dd>
+</dl>
+</section>
+<section id="returns">
+<h3>Returns<a class="headerlink" href="#returns" title="Permalink to this heading">¶</a></h3>
+<dl class="simple">
+<dt>np.array</dt><dd><p>Array of predictions with as many rows as in <code class="docutils literal notranslate"><span class="pre">covariates</span></code> and as many columns as retained samples of the algorithm.</p>
+</dd>
+</dl>
+</section>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="stochtree.bart.BARTModel.sample">
+<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X_train</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_train</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_train</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">X_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">basis_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutpoint_grid_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigma_leaf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.95</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_samples_leaf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_depth</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_global</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_global</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_leaf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_leaf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.9</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigma2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pct_var_sigma2_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_trees</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_gfr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_burnin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mcmc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_sigma_global</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_sigma_leaf</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_burnin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_gfr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#stochtree.bart.BARTModel.sample" title="Permalink to this definition">¶</a></dt>
+<dd><p>Runs a BART sampler on provided training set. Predictions will be cached for the training set and (if provided) the test set. 
+Does not require a leaf regression basis.</p>
+<section id="id1">
+<h3>Parameters<a class="headerlink" href="#id1" title="Permalink to this heading">¶</a></h3>
+<dl>
+<dt>X_train<span class="classifier">np.array</span></dt><dd><p>Training set covariates on which trees may be partitioned.</p>
+</dd>
+<dt>y_train<span class="classifier">np.array</span></dt><dd><p>Training set outcome.</p>
+</dd>
+<dt>basis_train<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Optional training set basis vector used to define a regression to be run in the leaves of each tree.</p>
+</dd>
+<dt>X_test<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Optional test set covariates.</p>
+</dd>
+<dt>basis_test<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Optional test set basis vector used to define a regression to be run in the leaves of each tree. 
+Must be included / omitted consistently (i.e. if basis_train is provided, then basis_test must be provided alongside X_test).</p>
+</dd>
+<dt>cutpoint_grid_size<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Maximum number of cutpoints to consider for each feature. Defaults to <code class="docutils literal notranslate"><span class="pre">100</span></code>.</p>
+</dd>
+<dt>sigma_leaf<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Scale parameter on the leaf node regression model.</p>
+</dd>
+<dt>alpha<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Prior probability of splitting for a tree of depth 0. 
+Tree split prior combines <code class="docutils literal notranslate"><span class="pre">alpha</span></code> and <code class="docutils literal notranslate"><span class="pre">beta</span></code> via <code class="docutils literal notranslate"><span class="pre">alpha*(1+node_depth)^-beta</span></code>.</p>
+</dd>
+<dt>beta<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Exponent that decreases split probabilities for nodes of depth &gt; 0. 
+Tree split prior combines <code class="docutils literal notranslate"><span class="pre">alpha</span></code> and <code class="docutils literal notranslate"><span class="pre">beta</span></code> via <code class="docutils literal notranslate"><span class="pre">alpha*(1+node_depth)^-beta</span></code>.</p>
+</dd>
+<dt>min_samples_leaf<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Minimum allowable size of a leaf, in terms of training samples. Defaults to <code class="docutils literal notranslate"><span class="pre">5</span></code>.</p>
+</dd>
+<dt>max_depth<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Maximum depth of any tree in the ensemble. Defaults to <code class="docutils literal notranslate"><span class="pre">10</span></code>. Can be overriden with <code class="docutils literal notranslate"><span class="pre">-1</span></code> which does not enforce any depth limits on trees.</p>
+</dd>
+<dt>a_global<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Shape parameter in the <code class="docutils literal notranslate"><span class="pre">IG(a_global,</span> <span class="pre">b_global)</span></code> global error variance model. Defaults to <code class="docutils literal notranslate"><span class="pre">0</span></code>.</p>
+</dd>
+<dt>b_global<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Component of the scale parameter in the <code class="docutils literal notranslate"><span class="pre">IG(a_global,</span> <span class="pre">b_global)</span></code> global error variance prior. Defaults to <code class="docutils literal notranslate"><span class="pre">0</span></code>.</p>
+</dd>
+<dt>a_leaf<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Shape parameter in the <code class="docutils literal notranslate"><span class="pre">IG(a_leaf,</span> <span class="pre">b_leaf)</span></code> leaf node parameter variance model. Defaults to <code class="docutils literal notranslate"><span class="pre">3</span></code>.</p>
+</dd>
+<dt>b_leaf<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Scale parameter in the <code class="docutils literal notranslate"><span class="pre">IG(a_leaf,</span> <span class="pre">b_leaf)</span></code> leaf node parameter variance model. Calibrated internally as <code class="docutils literal notranslate"><span class="pre">0.5/num_trees</span></code> if not set here.</p>
+</dd>
+<dt>q<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Quantile used to calibrated <code class="docutils literal notranslate"><span class="pre">lamb</span></code> as in Sparapani et al (2021). Defaults to <code class="docutils literal notranslate"><span class="pre">0.9</span></code>.</p>
+</dd>
+<dt>sigma2<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Starting value of global variance parameter. Set internally as a percentage of the standardized outcome variance if not set here.</p>
+</dd>
+<dt>pct_var_sigma2_init<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Percentage of standardized outcome variance used to initialize global error variance parameter. Superseded by <code class="docutils literal notranslate"><span class="pre">sigma2</span></code>. Defaults to <code class="docutils literal notranslate"><span class="pre">0.25</span></code>.</p>
+</dd>
+<dt>num_trees<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Number of trees in the ensemble. Defaults to <code class="docutils literal notranslate"><span class="pre">200</span></code>.</p>
+</dd>
+<dt>num_gfr<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Number of “warm-start” iterations run using the grow-from-root algorithm (He and Hahn, 2021). Defaults to <code class="docutils literal notranslate"><span class="pre">5</span></code>.</p>
+</dd>
+<dt>num_burnin<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Number of “burn-in” iterations of the MCMC sampler. Defaults to <code class="docutils literal notranslate"><span class="pre">0</span></code>. Ignored if <code class="docutils literal notranslate"><span class="pre">num_gfr</span> <span class="pre">&gt;</span> <span class="pre">0</span></code>.</p>
+</dd>
+<dt>num_mcmc<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Number of “retained” iterations of the MCMC sampler. Defaults to <code class="docutils literal notranslate"><span class="pre">100</span></code>. If this is set to 0, GFR (XBART) samples will be retained.</p>
+</dd>
+<dt>sample_sigma_global<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bool</span></code>, optional</span></dt><dd><p>Whether or not to update the <code class="docutils literal notranslate"><span class="pre">sigma^2</span></code> global error variance parameter based on <code class="docutils literal notranslate"><span class="pre">IG(a_global,</span> <span class="pre">b_global)</span></code>. Defaults to <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p>
+</dd>
+<dt>sample_sigma_leaf<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bool</span></code>, optional</span></dt><dd><p>Whether or not to update the <code class="docutils literal notranslate"><span class="pre">tau</span></code> leaf scale variance parameter based on <code class="docutils literal notranslate"><span class="pre">IG(a_leaf,</span> <span class="pre">b_leaf)</span></code>. Cannot (currently) be set to true if <code class="docutils literal notranslate"><span class="pre">basis_train</span></code> has more than one column. Defaults to <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p>
+</dd>
+<dt>random_seed<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Integer parameterizing the C++ random number generator. If not specified, the C++ random number generator is seeded according to <code class="docutils literal notranslate"><span class="pre">std::random_device</span></code>.</p>
+</dd>
+<dt>keep_burnin<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bool</span></code>, optional</span></dt><dd><p>Whether or not “burnin” samples should be included in predictions. Defaults to <code class="docutils literal notranslate"><span class="pre">False</span></code>. Ignored if <code class="docutils literal notranslate"><span class="pre">num_mcmc</span> <span class="pre">==</span> <span class="pre">0</span></code>.</p>
+</dd>
+<dt>keep_gfr<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bool</span></code>, optional</span></dt><dd><p>Whether or not “warm-start” / grow-from-root samples should be included in predictions. Defaults to <code class="docutils literal notranslate"><span class="pre">False</span></code>. Ignored if <code class="docutils literal notranslate"><span class="pre">num_mcmc</span> <span class="pre">==</span> <span class="pre">0</span></code>.</p>
+</dd>
+</dl>
+</section>
+<section id="id2">
+<h3>Returns<a class="headerlink" href="#id2" title="Permalink to this heading">¶</a></h3>
+<dl class="simple">
+<dt>self<span class="classifier">BARTModel</span></dt><dd><p>Sampled BART Model.</p>
+</dd>
+</dl>
+</section>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+<section id="bcf">
+<h2>BCF<a class="headerlink" href="#bcf" title="Permalink to this heading">¶</a></h2>
+<dl class="py class">
+<dt class="sig sig-object py" id="stochtree.bcf.BCFModel">
+<em class="property"><span class="pre">class</span><span class="w"> </span></em><span class="sig-prename descclassname"><span class="pre">stochtree.bcf.</span></span><span class="sig-name descname"><span class="pre">BCFModel</span></span><a class="headerlink" href="#stochtree.bcf.BCFModel" title="Permalink to this definition">¶</a></dt>
+<dd><p>Class that handles sampling, storage, and serialization of causal BART models like BCF, XBCF, and Warm-Start BCF</p>
+<dl class="py method">
+<dt class="sig sig-object py" id="stochtree.bcf.BCFModel.predict">
+<span class="sig-name descname"><span class="pre">predict</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Z</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">propensity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">array</span></span></span><a class="headerlink" href="#stochtree.bcf.BCFModel.predict" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict outcome model components (CATE function and prognostic function) as well as overall outcome for every provided observation. 
+Predicted outcomes are computed as <code class="docutils literal notranslate"><span class="pre">yhat</span> <span class="pre">=</span> <span class="pre">mu_x</span> <span class="pre">+</span> <span class="pre">Z*tau_x</span></code> where mu_x is a sample of the prognostic function and tau_x is a sample of the treatment effect (CATE) function.</p>
+<section id="id3">
+<h3>Parameters<a class="headerlink" href="#id3" title="Permalink to this heading">¶</a></h3>
+<dl>
+<dt>X<span class="classifier">np.array or pd.DataFrame</span></dt><dd><p>Test set covariates.</p>
+</dd>
+<dt>Z<span class="classifier">np.array</span></dt><dd><p>Test set treatment indicators.</p>
+</dd>
+<dt>propensity<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Optional test set propensities. Must be provided if propensities were provided when the model was sampled.</p>
+</dd>
+</dl>
+</section>
+<section id="id4">
+<h3>Returns<a class="headerlink" href="#id4" title="Permalink to this heading">¶</a></h3>
+<dl class="simple">
+<dt>tuple of np.array</dt><dd><p>Tuple of arrays with as many rows as in <code class="docutils literal notranslate"><span class="pre">X</span></code> and as many columns as retained samples of the algorithm. 
+The first entry of the tuple contains conditional average treatment effect (CATE) samples, 
+the second entry contains prognostic effect samples, and the third entry contains outcome prediction samples</p>
+</dd>
+</dl>
+</section>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="stochtree.bcf.BCFModel.predict_tau">
+<span class="sig-name descname"><span class="pre">predict_tau</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Z</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">propensity</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">array</span></span></span><a class="headerlink" href="#stochtree.bcf.BCFModel.predict_tau" title="Permalink to this definition">¶</a></dt>
+<dd><p>Predict CATE function for every provided observation.</p>
+<section id="id5">
+<h3>Parameters<a class="headerlink" href="#id5" title="Permalink to this heading">¶</a></h3>
+<dl>
+<dt>X<span class="classifier">np.array or pd.DataFrame</span></dt><dd><p>Test set covariates.</p>
+</dd>
+<dt>Z<span class="classifier">np.array</span></dt><dd><p>Test set treatment indicators.</p>
+</dd>
+<dt>propensity<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Optional test set propensities. Must be provided if propensities were provided when the model was sampled.</p>
+</dd>
+</dl>
+</section>
+<section id="id6">
+<h3>Returns<a class="headerlink" href="#id6" title="Permalink to this heading">¶</a></h3>
+<dl class="simple">
+<dt>np.array</dt><dd><p>Array with as many rows as in <code class="docutils literal notranslate"><span class="pre">X</span></code> and as many columns as retained samples of the algorithm.</p>
+</dd>
+</dl>
+</section>
+</dd></dl>
+
+<dl class="py method">
+<dt class="sig sig-object py" id="stochtree.bcf.BCFModel.sample">
+<span class="sig-name descname"><span class="pre">sample</span></span><span class="sig-paren">(</span><em class="sig-param"><span class="n"><span class="pre">X_train</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">DataFrame</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Z_train</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">y_train</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pi_train</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">X_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">DataFrame</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">Z_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pi_test</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">cutpoint_grid_size</span></span><span class="o"><span class="pre">=</span></span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigma_leaf_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigma_leaf_tau</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.95</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">alpha_tau</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">2.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">beta_tau</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3.0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_samples_leaf_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">min_samples_leaf_tau</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_depth_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">10</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">max_depth_tau</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_global</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_global</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_leaf_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">a_leaf_tau</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">3</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_leaf_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_leaf_tau</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">q</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.9</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sigma2</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">pct_var_sigma2_init</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.25</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">variable_weights</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_vars_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_vars_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_vars_tau</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">drop_vars_tau</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">list</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">array</span><span class="w"> </span><span class="p"><span class="pre">|</span></span><span class="w"> </span><span class="pre">None</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">None</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_trees_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">200</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_trees_tau</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">50</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_gfr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_burnin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">num_mcmc</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">100</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_sigma_global</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_sigma_leaf_mu</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">sample_sigma_leaf_tau</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">propensity_covariate</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">str</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">'mu'</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">adaptive_coding</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">True</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_0</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">b_1</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">float</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">0.5</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">random_seed</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">int</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">-1</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_burnin</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em>, <em class="sig-param"><span class="n"><span class="pre">keep_gfr</span></span><span class="p"><span class="pre">:</span></span><span class="w"> </span><span class="n"><span class="pre">bool</span></span><span class="w"> </span><span class="o"><span class="pre">=</span></span><span class="w"> </span><span class="default_value"><span class="pre">False</span></span></em><span class="sig-paren">)</span> <span class="sig-return"><span class="sig-return-icon">&#x2192;</span> <span class="sig-return-typehint"><span class="pre">None</span></span></span><a class="headerlink" href="#stochtree.bcf.BCFModel.sample" title="Permalink to this definition">¶</a></dt>
+<dd><p>Runs a BCF sampler on provided training set. Outcome predictions and estimates of the prognostic and treatment effect functions 
+will be cached for the training set and (if provided) the test set.</p>
+<section id="id7">
+<h3>Parameters<a class="headerlink" href="#id7" title="Permalink to this heading">¶</a></h3>
+<dl>
+<dt>X_train<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code> or <code class="xref py py-obj docutils literal notranslate"><span class="pre">pd.DataFrame</span></code></span></dt><dd><p>Covariates used to split trees in the ensemble. Can be passed as either a matrix or dataframe.</p>
+</dd>
+<dt>Z_train<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code></span></dt><dd><p>Array of (continuous or binary; univariate or multivariate) treatment assignments.</p>
+</dd>
+<dt>y_train<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code></span></dt><dd><p>Outcome to be modeled by the ensemble.</p>
+</dd>
+<dt>pi_train<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code></span></dt><dd><p>Optional vector of propensity scores. If not provided, this will be estimated from the data.</p>
+</dd>
+<dt>X_test<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Optional test set of covariates used to define “out of sample” evaluation data.</p>
+</dd>
+<dt>Z_test<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Optional test set of (continuous or binary) treatment assignments.
+Must be provided if <code class="docutils literal notranslate"><span class="pre">X_test</span></code> is provided.</p>
+</dd>
+<dt>pi_test<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Optional test set vector of propensity scores. If not provided (but <code class="docutils literal notranslate"><span class="pre">X_test</span></code> and <code class="docutils literal notranslate"><span class="pre">Z_test</span></code> are), this will be estimated from the data.</p>
+</dd>
+<dt>cutpoint_grid_size<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Maximum number of cutpoints to consider for each feature. Defaults to <code class="docutils literal notranslate"><span class="pre">100</span></code>.</p>
+</dd>
+<dt>sigma_leaf_mu<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Starting value of leaf node scale parameter for the prognostic forest. Calibrated internally as <code class="docutils literal notranslate"><span class="pre">2/num_trees_mu</span></code> if not set here.</p>
+</dd>
+<dt>sigma_leaf_tau<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code> or <code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Starting value of leaf node scale parameter for the treatment effect forest. 
+When treatment (<code class="docutils literal notranslate"><span class="pre">Z_train</span></code>) is multivariate, this can be either a <code class="docutils literal notranslate"><span class="pre">float</span></code> or a square 2-dimensional <code class="docutils literal notranslate"><span class="pre">np.array</span></code> 
+with <code class="docutils literal notranslate"><span class="pre">sigma_leaf_tau.shape[0]</span> <span class="pre">==</span> <span class="pre">Z_train.shape[1]</span></code> and <code class="docutils literal notranslate"><span class="pre">sigma_leaf_tau.shape[1]</span> <span class="pre">==</span> <span class="pre">Z_train.shape[1]</span></code>.
+If <code class="docutils literal notranslate"><span class="pre">sigma_leaf_tau</span></code> is provided as a float for multivariate treatment, the leaf scale term will be set as a 
+diagonal matrix with <code class="docutils literal notranslate"><span class="pre">sigma_leaf_tau</span></code> on every diagonal. If not passed as an argument, this parameter is 
+calibrated internally as <code class="docutils literal notranslate"><span class="pre">1/num_trees_tau</span></code> (and propagated to a diagonal matrix if necessary).</p>
+</dd>
+<dt>alpha_mu<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Prior probability of splitting for a tree of depth 0 for the prognostic forest. 
+Tree split prior combines <code class="docutils literal notranslate"><span class="pre">alpha</span></code> and <code class="docutils literal notranslate"><span class="pre">beta</span></code> via <code class="docutils literal notranslate"><span class="pre">alpha*(1+node_depth)^-beta</span></code>.</p>
+</dd>
+<dt>alpha_tau<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Prior probability of splitting for a tree of depth 0 for the treatment effect forest. 
+Tree split prior combines <code class="docutils literal notranslate"><span class="pre">alpha</span></code> and <code class="docutils literal notranslate"><span class="pre">beta</span></code> via <code class="docutils literal notranslate"><span class="pre">alpha*(1+node_depth)^-beta</span></code>.</p>
+</dd>
+<dt>beta_mu<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Exponent that decreases split probabilities for nodes of depth &gt; 0 for the prognostic forest. 
+Tree split prior combines <code class="docutils literal notranslate"><span class="pre">alpha</span></code> and <code class="docutils literal notranslate"><span class="pre">beta</span></code> via <code class="docutils literal notranslate"><span class="pre">alpha*(1+node_depth)^-beta</span></code>.</p>
+</dd>
+<dt>beta_tau<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Exponent that decreases split probabilities for nodes of depth &gt; 0 for the treatment effect forest. 
+Tree split prior combines <code class="docutils literal notranslate"><span class="pre">alpha</span></code> and <code class="docutils literal notranslate"><span class="pre">beta</span></code> via <code class="docutils literal notranslate"><span class="pre">alpha*(1+node_depth)^-beta</span></code>.</p>
+</dd>
+<dt>min_samples_leaf_mu<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Minimum allowable size of a leaf, in terms of training samples, for the prognostic forest. Defaults to <code class="docutils literal notranslate"><span class="pre">5</span></code>.</p>
+</dd>
+<dt>min_samples_leaf_tau<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Minimum allowable size of a leaf, in terms of training samples, for the treatment effect forest. Defaults to <code class="docutils literal notranslate"><span class="pre">5</span></code>.</p>
+</dd>
+<dt>max_depth_mu<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Maximum depth of any tree in the mu ensemble. Defaults to <code class="docutils literal notranslate"><span class="pre">10</span></code>. Can be overriden with <code class="docutils literal notranslate"><span class="pre">-1</span></code> which does not enforce any depth limits on trees.</p>
+</dd>
+<dt>max_depth_tau<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Maximum depth of any tree in the tau ensemble. Defaults to <code class="docutils literal notranslate"><span class="pre">5</span></code>. Can be overriden with <code class="docutils literal notranslate"><span class="pre">-1</span></code> which does not enforce any depth limits on trees.</p>
+</dd>
+<dt>a_global<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Shape parameter in the <code class="docutils literal notranslate"><span class="pre">IG(a_global,</span> <span class="pre">b_global)</span></code> global error variance model. Defaults to <code class="docutils literal notranslate"><span class="pre">0</span></code>.</p>
+</dd>
+<dt>b_global<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Component of the scale parameter in the <code class="docutils literal notranslate"><span class="pre">IG(a_global,</span> <span class="pre">b_global)</span></code> global error variance prior. Defaults to <code class="docutils literal notranslate"><span class="pre">0</span></code>.</p>
+</dd>
+<dt>a_leaf_mu<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Shape parameter in the <code class="docutils literal notranslate"><span class="pre">IG(a_leaf,</span> <span class="pre">b_leaf)</span></code> leaf node parameter variance model for the prognostic forest. Defaults to <code class="docutils literal notranslate"><span class="pre">3</span></code>.</p>
+</dd>
+<dt>a_leaf_tau<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Shape parameter in the <code class="docutils literal notranslate"><span class="pre">IG(a_leaf,</span> <span class="pre">b_leaf)</span></code> leaf node parameter variance model for the treatment effect forest. Defaults to <code class="docutils literal notranslate"><span class="pre">3</span></code>.</p>
+</dd>
+<dt>b_leaf_mu<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Scale parameter in the <code class="docutils literal notranslate"><span class="pre">IG(a_leaf,</span> <span class="pre">b_leaf)</span></code> leaf node parameter variance model for the prognostic forest. Calibrated internally as <code class="docutils literal notranslate"><span class="pre">0.5/num_trees</span></code> if not set here.</p>
+</dd>
+<dt>b_leaf_tau<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Scale parameter in the <code class="docutils literal notranslate"><span class="pre">IG(a_leaf,</span> <span class="pre">b_leaf)</span></code> leaf node parameter variance model for the treatment effect forest. Calibrated internally as <code class="docutils literal notranslate"><span class="pre">0.5/num_trees</span></code> if not set here.</p>
+</dd>
+<dt>q<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Quantile used to calibrated <code class="docutils literal notranslate"><span class="pre">lamb</span></code> as in Sparapani et al (2021). Defaults to <code class="docutils literal notranslate"><span class="pre">0.9</span></code>.</p>
+</dd>
+<dt>sigma2<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Starting value of global variance parameter. Calibrated internally as in Sparapani et al (2021) if not set here.</p>
+</dd>
+<dt>pct_var_sigma2_init<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Percentage of standardized outcome variance used to initialize global error variance parameter. Superseded by <code class="docutils literal notranslate"><span class="pre">sigma2</span></code>. Defaults to <code class="docutils literal notranslate"><span class="pre">0.25</span></code>.</p>
+</dd>
+<dt>variable_weights<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Numeric weights reflecting the relative probability of splitting on each variable. Does not need to sum to 1 but cannot be negative. Defaults to <code class="docutils literal notranslate"><span class="pre">np.repeat(1/X_train.shape[1],</span> <span class="pre">X_train.shape[1])</span></code> if not set here. Note that if the propensity score is included as a covariate in either forest, its weight will default to <code class="docutils literal notranslate"><span class="pre">1/X_train.shape[1]</span></code>. A workaround if you wish to provide a custom weight for the propensity score is to include it as a column in <code class="docutils literal notranslate"><span class="pre">X_train</span></code> and then set <code class="docutils literal notranslate"><span class="pre">propensity_covariate</span></code> to <code class="docutils literal notranslate"><span class="pre">'none'</span></code> and adjust <code class="docutils literal notranslate"><span class="pre">keep_vars_mu</span></code> and <code class="docutils literal notranslate"><span class="pre">keep_vars_tau</span></code> accordingly.</p>
+</dd>
+<dt>keep_vars_mu<span class="classifier">obj:<cite>list</cite> or <code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Vector of variable names or column indices denoting variables that should be included in the prognostic (<code class="docutils literal notranslate"><span class="pre">mu(X)</span></code>) forest. Defaults to <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p>
+</dd>
+<dt>drop_vars_mu<span class="classifier">obj:<cite>list</cite> or <code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Vector of variable names or column indices denoting variables that should be excluded from the prognostic (<code class="docutils literal notranslate"><span class="pre">mu(X)</span></code>) forest. Defaults to <code class="docutils literal notranslate"><span class="pre">None</span></code>. If both <code class="docutils literal notranslate"><span class="pre">drop_vars_mu</span></code> and <code class="docutils literal notranslate"><span class="pre">keep_vars_mu</span></code> are set, <code class="docutils literal notranslate"><span class="pre">drop_vars_mu</span></code> will be ignored.</p>
+</dd>
+<dt>keep_vars_tau<span class="classifier">obj:<cite>list</cite> or <code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Vector of variable names or column indices denoting variables that should be included in the treatment effect (<code class="docutils literal notranslate"><span class="pre">tau(X)</span></code>) forest. Defaults to <code class="docutils literal notranslate"><span class="pre">None</span></code>.</p>
+</dd>
+<dt>drop_vars_tau<span class="classifier">obj:<cite>list</cite> or <code class="xref py py-obj docutils literal notranslate"><span class="pre">np.array</span></code>, optional</span></dt><dd><p>Vector of variable names or column indices denoting variables that should be excluded from the treatment effect (<code class="docutils literal notranslate"><span class="pre">tau(X)</span></code>) forest. Defaults to <code class="docutils literal notranslate"><span class="pre">None</span></code>. If both <code class="docutils literal notranslate"><span class="pre">drop_vars_tau</span></code> and <code class="docutils literal notranslate"><span class="pre">keep_vars_tau</span></code> are set, <code class="docutils literal notranslate"><span class="pre">drop_vars_tau</span></code> will be ignored.</p>
+</dd>
+<dt>num_trees_mu<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Number of trees in the prognostic forest. Defaults to <code class="docutils literal notranslate"><span class="pre">200</span></code>.</p>
+</dd>
+<dt>num_trees_tau<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Number of trees in the treatment effect forest. Defaults to <code class="docutils literal notranslate"><span class="pre">50</span></code>.</p>
+</dd>
+<dt>num_gfr<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Number of “warm-start” iterations run using the grow-from-root algorithm (He and Hahn, 2021). Defaults to <code class="docutils literal notranslate"><span class="pre">5</span></code>.</p>
+</dd>
+<dt>num_burnin<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Number of “burn-in” iterations of the MCMC sampler. Defaults to <code class="docutils literal notranslate"><span class="pre">0</span></code>. Ignored if <code class="docutils literal notranslate"><span class="pre">num_gfr</span> <span class="pre">&gt;</span> <span class="pre">0</span></code>.</p>
+</dd>
+<dt>num_mcmc<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Number of “retained” iterations of the MCMC sampler. Defaults to <code class="docutils literal notranslate"><span class="pre">100</span></code>. If this is set to 0, GFR (XBART) samples will be retained.</p>
+</dd>
+<dt>sample_sigma_global<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bool</span></code>, optional</span></dt><dd><p>Whether or not to update the <code class="docutils literal notranslate"><span class="pre">sigma^2</span></code> global error variance parameter based on <code class="docutils literal notranslate"><span class="pre">IG(a_global,</span> <span class="pre">b_global)</span></code>. Defaults to <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p>
+</dd>
+<dt>sample_sigma_leaf_mu<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bool</span></code>, optional</span></dt><dd><p>Whether or not to update the <code class="docutils literal notranslate"><span class="pre">tau</span></code> leaf scale variance parameter based on <code class="docutils literal notranslate"><span class="pre">IG(a_leaf,</span> <span class="pre">b_leaf)</span></code> for the prognostic forest. 
+Cannot (currently) be set to true if <code class="docutils literal notranslate"><span class="pre">basis_train</span></code> has more than one column. Defaults to <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p>
+</dd>
+<dt>sample_sigma_leaf_tau<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bool</span></code>, optional</span></dt><dd><p>Whether or not to update the <code class="docutils literal notranslate"><span class="pre">tau</span></code> leaf scale variance parameter based on <code class="docutils literal notranslate"><span class="pre">IG(a_leaf,</span> <span class="pre">b_leaf)</span></code> for the treatment effect forest. 
+Cannot (currently) be set to true if <code class="docutils literal notranslate"><span class="pre">basis_train</span></code> has more than one column. Defaults to <code class="docutils literal notranslate"><span class="pre">True</span></code>.</p>
+</dd>
+<dt>propensity_covariate<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">str</span></code>, optional</span></dt><dd><p>Whether to include the propensity score as a covariate in either or both of the forests. Enter <code class="docutils literal notranslate"><span class="pre">&quot;none&quot;</span></code> for neither, <code class="docutils literal notranslate"><span class="pre">&quot;mu&quot;</span></code> for the prognostic forest, <code class="docutils literal notranslate"><span class="pre">&quot;tau&quot;</span></code> for the treatment forest, and <code class="docutils literal notranslate"><span class="pre">&quot;both&quot;</span></code> for both forests. 
+If this is not <code class="docutils literal notranslate"><span class="pre">&quot;none&quot;</span></code> and a propensity score is not provided, it will be estimated from (<code class="docutils literal notranslate"><span class="pre">X_train</span></code>, <code class="docutils literal notranslate"><span class="pre">Z_train</span></code>) using <code class="docutils literal notranslate"><span class="pre">BARTModel</span></code>. Defaults to <code class="docutils literal notranslate"><span class="pre">&quot;mu&quot;</span></code>.</p>
+</dd>
+<dt>adaptive_coding<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bool</span></code>, optional</span></dt><dd><p>Whether or not to use an “adaptive coding” scheme in which a binary treatment variable is not coded manually as (0,1) or (-1,1) but learned via 
+parameters <code class="docutils literal notranslate"><span class="pre">b_0</span></code> and <code class="docutils literal notranslate"><span class="pre">b_1</span></code> that attach to the outcome model <code class="docutils literal notranslate"><span class="pre">[b_0</span> <span class="pre">(1-Z)</span> <span class="pre">+</span> <span class="pre">b_1</span> <span class="pre">Z]</span> <span class="pre">tau(X)</span></code>. This is ignored when Z is not binary. Defaults to True.</p>
+</dd>
+<dt>b_0<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Initial value of the “control” group coding parameter. This is ignored when <code class="docutils literal notranslate"><span class="pre">Z</span></code> is not binary. Default: <code class="docutils literal notranslate"><span class="pre">-0.5</span></code>.</p>
+</dd>
+<dt>b_1<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">float</span></code>, optional</span></dt><dd><p>Initial value of the “treated” group coding parameter. This is ignored when <code class="docutils literal notranslate"><span class="pre">Z</span></code> is not binary. Default: <code class="docutils literal notranslate"><span class="pre">0.5</span></code>.</p>
+</dd>
+<dt>random_seed<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">int</span></code>, optional</span></dt><dd><p>Integer parameterizing the C++ random number generator. If not specified, the C++ random number generator is seeded according to <code class="docutils literal notranslate"><span class="pre">std::random_device</span></code>.</p>
+</dd>
+<dt>keep_burnin<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bool</span></code>, optional</span></dt><dd><p>Whether or not “burnin” samples should be included in predictions. Defaults to <code class="docutils literal notranslate"><span class="pre">False</span></code>. Ignored if <code class="docutils literal notranslate"><span class="pre">num_mcmc</span> <span class="pre">==</span> <span class="pre">0</span></code>.</p>
+</dd>
+<dt>keep_gfr<span class="classifier"><code class="xref py py-obj docutils literal notranslate"><span class="pre">bool</span></code>, optional</span></dt><dd><p>Whether or not “warm-start” / grow-from-root samples should be included in predictions. Defaults to <code class="docutils literal notranslate"><span class="pre">False</span></code>. Ignored if <code class="docutils literal notranslate"><span class="pre">num_mcmc</span> <span class="pre">==</span> <span class="pre">0</span></code>.</p>
+</dd>
+</dl>
+</section>
+<section id="id8">
+<h3>Returns<a class="headerlink" href="#id8" title="Permalink to this heading">¶</a></h3>
+<dl class="simple">
+<dt>self<span class="classifier">BCFModel</span></dt><dd><p>Sampled BCF Model.</p>
+</dd>
+</dl>
+</section>
+</dd></dl>
+
+</dd></dl>
+
+</section>
+</section>
+
+        </article>
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+            <ul>
+<li><a class="reference internal" href="#">StochTree API</a><ul>
+<li><a class="reference internal" href="#bart">BART</a><ul>
+<li><a class="reference internal" href="#stochtree.bart.BARTModel"><code class="docutils literal notranslate"><span class="pre">BARTModel</span></code></a><ul>
+<li><a class="reference internal" href="#stochtree.bart.BARTModel.predict"><code class="docutils literal notranslate"><span class="pre">BARTModel.predict()</span></code></a></li>
+<li><a class="reference internal" href="#stochtree.bart.BARTModel.sample"><code class="docutils literal notranslate"><span class="pre">BARTModel.sample()</span></code></a></li>
+</ul>
+</li>
+</ul>
+</li>
+<li><a class="reference internal" href="#bcf">BCF</a><ul>
+<li><a class="reference internal" href="#stochtree.bcf.BCFModel"><code class="docutils literal notranslate"><span class="pre">BCFModel</span></code></a><ul>
+<li><a class="reference internal" href="#stochtree.bcf.BCFModel.predict"><code class="docutils literal notranslate"><span class="pre">BCFModel.predict()</span></code></a></li>
+<li><a class="reference internal" href="#stochtree.bcf.BCFModel.predict_tau"><code class="docutils literal notranslate"><span class="pre">BCFModel.predict_tau()</span></code></a></li>
+<li><a class="reference internal" href="#stochtree.bcf.BCFModel.sample"><code class="docutils literal notranslate"><span class="pre">BCFModel.sample()</span></code></a></li>
+</ul>
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+          <section id="causal-inference">
+<h1>Causal Inference<a class="headerlink" href="#causal-inference" title="Permalink to this heading">¶</a></h1>
+<p>This vignette provides a quick overview (using simulated data) of how to use <code class="docutils literal notranslate"><span class="pre">stochtree</span></code> for causal inference.
+Start by loading stochtree’s <code class="docutils literal notranslate"><span class="pre">BCFModel</span></code> class and a number of other packages.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="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">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">from</span> <span class="nn">stochtree</span> <span class="kn">import</span> <span class="n">BCFModel</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>
+</pre></div>
+</div>
+<p>Now, we generate a simulated causal inference problem</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># RNG</span>
+<span class="n">random_seed</span> <span class="o">=</span> <span class="mi">101</span>
+<span class="n">rng</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">default_rng</span><span class="p">(</span><span class="n">random_seed</span><span class="p">)</span>
+
+<span class="c1"># Generate covariates and basis</span>
+<span class="n">n</span> <span class="o">=</span> <span class="mi">1000</span>
+<span class="n">p_X</span> <span class="o">=</span> <span class="mi">5</span>
+<span class="n">X</span> <span class="o">=</span> <span class="n">rng</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">p_X</span><span class="p">))</span>
+<span class="n">pi_X</span> <span class="o">=</span> <span class="mf">0.25</span> <span class="o">+</span> <span class="mf">0.5</span><span class="o">*</span><span class="n">X</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]</span>
+<span class="n">Z</span> <span class="o">=</span> <span class="n">rng</span><span class="o">.</span><span class="n">binomial</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">pi_X</span><span class="p">,</span> <span class="n">n</span><span class="p">)</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="nb">float</span><span class="p">)</span>
+
+<span class="c1"># Define the outcome mean functions (prognostic and treatment effects)</span>
+<span class="n">mu_X</span> <span class="o">=</span> <span class="n">pi_X</span><span class="o">*</span><span class="mi">5</span>
+<span class="c1"># tau_X = np.sin(X[:,1]*2*np.pi)</span>
+<span class="n">tau_X</span> <span class="o">=</span> <span class="n">X</span><span class="p">[:,</span><span class="mi">1</span><span class="p">]</span><span class="o">*</span><span class="mi">2</span>
+
+<span class="c1"># Generate outcome</span>
+<span class="n">epsilon</span> <span class="o">=</span> <span class="n">rng</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">n</span><span class="p">)</span>
+<span class="n">y</span> <span class="o">=</span> <span class="n">mu_X</span> <span class="o">+</span> <span class="n">tau_X</span><span class="o">*</span><span class="n">Z</span> <span class="o">+</span> <span class="n">epsilon</span>
+</pre></div>
+</div>
+<p>Split the dataset into train and test sets</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">sample_inds</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">n</span><span class="p">)</span>
+<span class="n">train_inds</span><span class="p">,</span> <span class="n">test_inds</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span><span class="n">sample_inds</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+<span class="n">X_train</span> <span class="o">=</span> <span class="n">X</span><span class="p">[</span><span class="n">train_inds</span><span class="p">,:]</span>
+<span class="n">X_test</span> <span class="o">=</span> <span class="n">X</span><span class="p">[</span><span class="n">test_inds</span><span class="p">,:]</span>
+<span class="n">Z_train</span> <span class="o">=</span> <span class="n">Z</span><span class="p">[</span><span class="n">train_inds</span><span class="p">]</span>
+<span class="n">Z_test</span> <span class="o">=</span> <span class="n">Z</span><span class="p">[</span><span class="n">test_inds</span><span class="p">]</span>
+<span class="n">y_train</span> <span class="o">=</span> <span class="n">y</span><span class="p">[</span><span class="n">train_inds</span><span class="p">]</span>
+<span class="n">y_test</span> <span class="o">=</span> <span class="n">y</span><span class="p">[</span><span class="n">test_inds</span><span class="p">]</span>
+<span class="n">pi_train</span> <span class="o">=</span> <span class="n">pi_X</span><span class="p">[</span><span class="n">train_inds</span><span class="p">]</span>
+<span class="n">pi_test</span> <span class="o">=</span> <span class="n">pi_X</span><span class="p">[</span><span class="n">test_inds</span><span class="p">]</span>
+<span class="n">mu_train</span> <span class="o">=</span> <span class="n">mu_X</span><span class="p">[</span><span class="n">train_inds</span><span class="p">]</span>
+<span class="n">mu_test</span> <span class="o">=</span> <span class="n">mu_X</span><span class="p">[</span><span class="n">test_inds</span><span class="p">]</span>
+<span class="n">tau_train</span> <span class="o">=</span> <span class="n">tau_X</span><span class="p">[</span><span class="n">train_inds</span><span class="p">]</span>
+<span class="n">tau_test</span> <span class="o">=</span> <span class="n">tau_X</span><span class="p">[</span><span class="n">test_inds</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>Initialize and run a BCF sampler for 1000 iterations (after 10 “warm-start” draws)</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">bcf_model</span> <span class="o">=</span> <span class="n">BCFModel</span><span class="p">()</span>
+<span class="n">bcf_model</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">X_train</span><span class="p">,</span> <span class="n">Z_train</span><span class="p">,</span> <span class="n">y_train</span><span class="p">,</span> <span class="n">pi_train</span><span class="p">,</span> <span class="n">X_test</span><span class="p">,</span> <span class="n">Z_test</span><span class="p">,</span> <span class="n">pi_test</span><span class="p">,</span> <span class="n">num_gfr</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">num_mcmc</span><span class="o">=</span><span class="mi">1000</span><span class="p">)</span>
+</pre></div>
+</div>
+</section>
+
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+          
+<section class="genindex-section">
+  <h1 id="index">Index</h1>
+  <div class="genindex-jumpbox"><a href="#B"><strong>B</strong></a> | <a href="#P"><strong>P</strong></a> | <a href="#S"><strong>S</strong></a></div>
+</section>
+<section id="B" class="genindex-section">
+  <h2>B</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="api.html#stochtree.bart.BARTModel">BARTModel (class in stochtree.bart)</a>
+</li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="api.html#stochtree.bcf.BCFModel">BCFModel (class in stochtree.bcf)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="P" class="genindex-section">
+  <h2>P</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="api.html#stochtree.bart.BARTModel.predict">predict() (stochtree.bart.BARTModel method)</a>
+
+        <ul>
+          <li><a href="api.html#stochtree.bcf.BCFModel.predict">(stochtree.bcf.BCFModel method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="api.html#stochtree.bcf.BCFModel.predict_tau">predict_tau() (stochtree.bcf.BCFModel method)</a>
+</li>
+    </ul></td>
+  </tr></table>
+</section>
+
+<section id="S" class="genindex-section">
+  <h2>S</h2>
+  <table style="width: 100%" class="indextable genindextable"><tr>
+    <td style="width: 33%; vertical-align: top;"><ul>
+        <li><a href="api.html#stochtree.bart.BARTModel.sample">sample() (stochtree.bart.BARTModel method)</a>
+
+        <ul>
+          <li><a href="api.html#stochtree.bcf.BCFModel.sample">(stochtree.bcf.BCFModel method)</a>
+</li>
+        </ul></li>
+    </ul></td>
+  </tr></table>
+</section>
+
+
+        </article>
+      </div>
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+        <article role="main" id="furo-main-content">
+          <section id="stochtree">
+<h1>StochTree<a class="headerlink" href="#stochtree" title="Permalink to this heading">¶</a></h1>
+<p><code class="docutils literal notranslate"><span class="pre">stochtree</span></code> runs stochastic machine learning algorithms for supervised learning and causal inference.
+For details on installing the package, see the <a class="reference internal" href="install.html"><span class="doc">Installation</span></a> page. Once you have <code class="docutils literal notranslate"><span class="pre">stochtree</span></code> installed,
+the <a class="reference internal" href="supervised.html"><span class="doc">Supervised Learning</span></a> and <a class="reference internal" href="causal.html"><span class="doc">Causal Inference</span></a> vignettes provide some guidance on
+using the package for your use case.</p>
+<p>For complete function / class documentation, see the <a class="reference internal" href="api.html"><span class="doc">API</span></a> page.</p>
+<div class="toctree-wrapper compound">
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+<li class="toctree-l2"><a class="reference internal" href="install.html#cloning-the-repository">Cloning the Repository</a></li>
+</ul>
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+<li class="toctree-l1"><a class="reference internal" href="supervised.html">Supervised Learning</a></li>
+<li class="toctree-l1"><a class="reference internal" href="causal.html">Causal Inference</a></li>
+<li class="toctree-l1"><a class="reference internal" href="api.html">StochTree API</a><ul>
+<li class="toctree-l2"><a class="reference internal" href="api.html#bart">BART</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api.html#stochtree.bart.BARTModel"><code class="docutils literal notranslate"><span class="pre">BARTModel</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api.html#stochtree.bart.BARTModel.predict"><code class="docutils literal notranslate"><span class="pre">BARTModel.predict()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="api.html#stochtree.bart.BARTModel.sample"><code class="docutils literal notranslate"><span class="pre">BARTModel.sample()</span></code></a></li>
+</ul>
+</li>
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+<li class="toctree-l2"><a class="reference internal" href="api.html#bcf">BCF</a><ul>
+<li class="toctree-l3"><a class="reference internal" href="api.html#stochtree.bcf.BCFModel"><code class="docutils literal notranslate"><span class="pre">BCFModel</span></code></a><ul>
+<li class="toctree-l4"><a class="reference internal" href="api.html#stochtree.bcf.BCFModel.predict"><code class="docutils literal notranslate"><span class="pre">BCFModel.predict()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="api.html#stochtree.bcf.BCFModel.predict_tau"><code class="docutils literal notranslate"><span class="pre">BCFModel.predict_tau()</span></code></a></li>
+<li class="toctree-l4"><a class="reference internal" href="api.html#stochtree.bcf.BCFModel.sample"><code class="docutils literal notranslate"><span class="pre">BCFModel.sample()</span></code></a></li>
+</ul>
+</li>
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+        <article role="main" id="furo-main-content">
+          <section id="installation">
+<h1>Installation<a class="headerlink" href="#installation" title="Permalink to this heading">¶</a></h1>
+<p>The python package is not yet on PyPI but can be installed from source using pip’s <a class="reference external" href="https://pip.pypa.io/en/stable/topics/vcs-support/">git interface</a>.
+To proceed, you will need a working version of <a class="reference external" href="https://git-scm.com">git</a> and python 3.8 or greater (available from several sources, one of the most
+straightforward being the <a class="reference external" href="https://docs.conda.io/projects/conda/en/stable/user-guide/install/index.html">anaconda</a> suite).</p>
+<p>The python package can be installed from github via pip (and will soon be available on PyPI).
+Clone the repo recursively (including git submodules) by running</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>clone<span class="w"> </span>--recursive<span class="w"> </span>https://github.com/StochasticTree/stochtree.git
+</pre></div>
+</div>
+<section id="quick-start">
+<h2>Quick start<a class="headerlink" href="#quick-start" title="Permalink to this heading">¶</a></h2>
+<p>Without worrying about virtual environments (detailed further below), <code class="docutils literal notranslate"><span class="pre">stochtree</span></code> can be installed from the command line</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>pip<span class="w"> </span>install<span class="w"> </span>numpy<span class="w"> </span>scipy<span class="w"> </span>pytest<span class="w"> </span>pandas<span class="w"> </span>scikit-learn<span class="w"> </span>pybind11
+<span class="gp">$ </span>pip<span class="w"> </span>install<span class="w"> </span>git+https://github.com/StochasticTree/stochtree.git
+</pre></div>
+</div>
+</section>
+<section id="virtual-environment-installation">
+<h2>Virtual environment installation<a class="headerlink" href="#virtual-environment-installation" title="Permalink to this heading">¶</a></h2>
+<p>Often, users prefer to manage different projects (with different package / python version requirements) in virtual environments.</p>
+<section id="conda">
+<h3>Conda<a class="headerlink" href="#conda" title="Permalink to this heading">¶</a></h3>
+<p>Conda provides a straightforward experience in managing python dependencies, avoiding version conflicts / ABI issues / etc.</p>
+<p>To build stochtree using a <code class="docutils literal notranslate"><span class="pre">conda</span></code> based workflow, first create and activate a conda environment with the requisite dependencies</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>conda<span class="w"> </span>create<span class="w"> </span>-n<span class="w"> </span>stochtree-dev<span class="w"> </span>-c<span class="w"> </span>conda-forge<span class="w"> </span><span class="nv">python</span><span class="o">=</span><span class="m">3</span>.10<span class="w"> </span>numpy<span class="w"> </span>scipy<span class="w"> </span>pytest<span class="w"> </span>pandas<span class="w"> </span>pybind11<span class="w"> </span>scikit-learn<span class="w"> </span>matplotlib<span class="w"> </span>seaborn
+<span class="gp">$ </span>conda<span class="w"> </span>activate<span class="w"> </span>stochtree-dev
+</pre></div>
+</div>
+<p>Then install the package from github via pip</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>pip<span class="w"> </span>install<span class="w"> </span>git+https://github.com/StochasticTree/stochtree.git
+</pre></div>
+</div>
+<p>(<em>Note</em>: if you’d also like to run <code class="docutils literal notranslate"><span class="pre">stochtree</span></code>’s notebook examples, you will also need jupyterlab, seaborn, and matplotlib)</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>conda<span class="w"> </span>install<span class="w"> </span>matplotlib<span class="w"> </span>seaborn
+<span class="gp">$ </span>pip<span class="w"> </span>install<span class="w"> </span>jupyterlab
+</pre></div>
+</div>
+<p>With these dependencies installed, you can <a class="reference internal" href="#cloning-the-repository"><span class="std std-ref">clone the repo</span></a> and run the <code class="docutils literal notranslate"><span class="pre">demo/</span></code> examples.</p>
+</section>
+<section id="venv">
+<h3>Venv<a class="headerlink" href="#venv" title="Permalink to this heading">¶</a></h3>
+<p>You could also use venv for environment management. First, navigate to the folder in which you usually store virtual environments
+(i.e. <code class="docutils literal notranslate"><span class="pre">cd</span> <span class="pre">/path/to/envs</span></code>) and create and activate a virtual environment:</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>python<span class="w"> </span>-m<span class="w"> </span>venv<span class="w"> </span>venv
+<span class="gp">$ </span><span class="nb">source</span><span class="w"> </span>venv/bin/activate
+</pre></div>
+</div>
+<p>Install all of the package (and demo notebook) dependencies</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>pip<span class="w"> </span>install<span class="w"> </span>numpy<span class="w"> </span>scipy<span class="w"> </span>pytest<span class="w"> </span>pandas<span class="w"> </span>scikit-learn<span class="w"> </span>pybind11
+</pre></div>
+</div>
+<p>Then install stochtree via</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>pip<span class="w"> </span>install<span class="w"> </span>git+https://github.com/StochasticTree/stochtree.git
+</pre></div>
+</div>
+<p>As above, if you’d like to run the notebook examples in the <code class="docutils literal notranslate"><span class="pre">demo/</span></code> subfolder, you will also need jupyterlab, seaborn, and matplotlib and you will have to <a class="reference internal" href="#cloning-the-repository"><span class="std std-ref">clone the repo</span></a></p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>pip<span class="w"> </span>install<span class="w"> </span>matplotlib<span class="w"> </span>seaborn<span class="w"> </span>jupyterlab
+</pre></div>
+</div>
+</section>
+</section>
+<section id="cloning-the-repository">
+<span id="id1"></span><h2>Cloning the Repository<a class="headerlink" href="#cloning-the-repository" title="Permalink to this heading">¶</a></h2>
+<p>To clone the repository, you must have git installed, which you can do following <a class="reference external" href="https://learn.microsoft.com/en-us/devops/develop/git/install-and-set-up-git">these instructions</a>.</p>
+<p>Once git is available at the command line, navigate to the folder that will store this project (in bash / zsh, this is done by running <code class="docutils literal notranslate"><span class="pre">cd</span></code> followed by the path to the directory).
+Then, clone the <code class="docutils literal notranslate"><span class="pre">stochtree</span></code> repo as a subfolder by running</p>
+<div class="highlight-console notranslate"><div class="highlight"><pre><span></span><span class="gp">$ </span>git<span class="w"> </span>clone<span class="w"> </span>--recursive<span class="w"> </span>https://github.com/StochasticTree/stochtree.git
+</pre></div>
+</div>
+<p><em>NOTE</em>: this project incorporates several dependencies as <a class="reference external" href="https://git-scm.com/book/en/v2/Git-Tools-Submodules">git submodules</a>,
+which is why the <code class="docutils literal notranslate"><span class="pre">--recursive</span></code> flag is necessary (some systems may perform a recursive clone without this flag, but
+<code class="docutils literal notranslate"><span class="pre">--recursive</span></code> ensures this behavior on all platforms). If you have already cloned the repo without the <code class="docutils literal notranslate"><span class="pre">--recursive</span></code> flag,
+you can retrieve the submodules recursively by running <code class="docutils literal notranslate"><span class="pre">git</span> <span class="pre">submodule</span> <span class="pre">update</span> <span class="pre">--init</span> <span class="pre">--recursive</span></code> in the main repo directory.</p>
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+          <section id="supervised-learning">
+<h1>Supervised Learning<a class="headerlink" href="#supervised-learning" title="Permalink to this heading">¶</a></h1>
+<p>This vignette provides a quick overview (using simulated data) of how to use <code class="docutils literal notranslate"><span class="pre">stochtree</span></code> for supervised learning.
+Start by loading stochtree’s <code class="docutils literal notranslate"><span class="pre">BARTModel</span></code> class and a number of other packages.</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="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">seaborn</span> <span class="k">as</span> <span class="nn">sns</span>
+<span class="kn">import</span> <span class="nn">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+<span class="kn">from</span> <span class="nn">stochtree</span> <span class="kn">import</span> <span class="n">BARTModel</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>
+</pre></div>
+</div>
+<p>Now, we generate a simulated prediction problem</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="c1"># RNG</span>
+<span class="n">random_seed</span> <span class="o">=</span> <span class="mi">1234</span>
+<span class="n">rng</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">random</span><span class="o">.</span><span class="n">default_rng</span><span class="p">(</span><span class="n">random_seed</span><span class="p">)</span>
+
+<span class="c1"># Generate covariates and basis</span>
+<span class="n">n</span> <span class="o">=</span> <span class="mi">1000</span>
+<span class="n">p_X</span> <span class="o">=</span> <span class="mi">10</span>
+<span class="n">p_W</span> <span class="o">=</span> <span class="mi">1</span>
+<span class="n">X</span> <span class="o">=</span> <span class="n">rng</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">p_X</span><span class="p">))</span>
+<span class="n">W</span> <span class="o">=</span> <span class="n">rng</span><span class="o">.</span><span class="n">uniform</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">p_W</span><span class="p">))</span>
+
+<span class="c1"># Define the outcome mean function</span>
+<span class="k">def</span> <span class="nf">outcome_mean</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">W</span><span class="p">):</span>
+    <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span>
+        <span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]</span> <span class="o">&gt;=</span> <span class="mf">0.0</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mf">0.25</span><span class="p">),</span> <span class="o">-</span><span class="mf">7.5</span> <span class="o">*</span> <span class="n">W</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">where</span><span class="p">(</span>
+            <span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]</span> <span class="o">&gt;=</span> <span class="mf">0.25</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mf">0.5</span><span class="p">),</span> <span class="o">-</span><span class="mf">2.5</span> <span class="o">*</span> <span class="n">W</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">where</span><span class="p">(</span>
+                <span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]</span> <span class="o">&gt;=</span> <span class="mf">0.5</span><span class="p">)</span> <span class="o">&amp;</span> <span class="p">(</span><span class="n">X</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]</span> <span class="o">&lt;</span> <span class="mf">0.75</span><span class="p">),</span> <span class="mf">2.5</span> <span class="o">*</span> <span class="n">W</span><span class="p">[:,</span><span class="mi">0</span><span class="p">],</span>
+                <span class="mf">7.5</span> <span class="o">*</span> <span class="n">W</span><span class="p">[:,</span><span class="mi">0</span><span class="p">]</span>
+            <span class="p">)</span>
+        <span class="p">)</span>
+    <span class="p">)</span>
+
+<span class="c1"># Generate outcome</span>
+<span class="n">epsilon</span> <span class="o">=</span> <span class="n">rng</span><span class="o">.</span><span class="n">normal</span><span class="p">(</span><span class="mi">0</span><span class="p">,</span> <span class="mi">1</span><span class="p">,</span> <span class="n">n</span><span class="p">)</span>
+<span class="n">y</span> <span class="o">=</span> <span class="n">outcome_mean</span><span class="p">(</span><span class="n">X</span><span class="p">,</span> <span class="n">W</span><span class="p">)</span> <span class="o">+</span> <span class="n">epsilon</span>
+
+<span class="c1"># Standardize outcome</span>
+<span class="n">y_bar</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">y</span><span class="p">)</span>
+<span class="n">y_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">y</span><span class="p">)</span>
+<span class="n">resid</span> <span class="o">=</span> <span class="p">(</span><span class="n">y</span><span class="o">-</span><span class="n">y_bar</span><span class="p">)</span><span class="o">/</span><span class="n">y_std</span>
+</pre></div>
+</div>
+<p>Split the dataset into train and test sets</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">sample_inds</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">arange</span><span class="p">(</span><span class="n">n</span><span class="p">)</span>
+<span class="n">train_inds</span><span class="p">,</span> <span class="n">test_inds</span> <span class="o">=</span> <span class="n">train_test_split</span><span class="p">(</span><span class="n">sample_inds</span><span class="p">,</span> <span class="n">test_size</span><span class="o">=</span><span class="mf">0.5</span><span class="p">)</span>
+<span class="n">X_train</span> <span class="o">=</span> <span class="n">X</span><span class="p">[</span><span class="n">train_inds</span><span class="p">,:]</span>
+<span class="n">X_test</span> <span class="o">=</span> <span class="n">X</span><span class="p">[</span><span class="n">test_inds</span><span class="p">,:]</span>
+<span class="n">basis_train</span> <span class="o">=</span> <span class="n">W</span><span class="p">[</span><span class="n">train_inds</span><span class="p">,:]</span>
+<span class="n">basis_test</span> <span class="o">=</span> <span class="n">W</span><span class="p">[</span><span class="n">test_inds</span><span class="p">,:]</span>
+<span class="n">y_train</span> <span class="o">=</span> <span class="n">y</span><span class="p">[</span><span class="n">train_inds</span><span class="p">]</span>
+<span class="n">y_test</span> <span class="o">=</span> <span class="n">y</span><span class="p">[</span><span class="n">test_inds</span><span class="p">]</span>
+</pre></div>
+</div>
+<p>Initialize and run a BART sampler for 100 iterations (after 10 “warm-start” draws)</p>
+<div class="highlight-python notranslate"><div class="highlight"><pre><span></span><span class="n">bart_model</span> <span class="o">=</span> <span class="n">BARTModel</span><span class="p">()</span>
+<span class="n">bart_model</span><span class="o">.</span><span class="n">sample</span><span class="p">(</span><span class="n">X_train</span><span class="o">=</span><span class="n">X_train</span><span class="p">,</span> <span class="n">y_train</span><span class="o">=</span><span class="n">y_train</span><span class="p">,</span> <span class="n">basis_train</span><span class="o">=</span><span class="n">basis_train</span><span class="p">,</span> <span class="n">X_test</span><span class="o">=</span><span class="n">X_test</span><span class="p">,</span> <span class="n">basis_test</span><span class="o">=</span><span class="n">basis_test</span><span class="p">,</span> <span class="n">num_gfr</span><span class="o">=</span><span class="mi">10</span><span class="p">,</span> <span class="n">num_mcmc</span><span class="o">=</span><span class="mi">100</span><span class="p">)</span>
+</pre></div>
+</div>
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