diff --git a/src/students/GA_2_3/.gitkeep b/src/students/GA_2_3/.gitkeep
deleted file mode 100644
index e69de29bb2d1d6434b8b29ae775ad8c2e48c5391..0000000000000000000000000000000000000000
diff --git a/src/students/GA_2_3/Analysis.html b/src/students/GA_2_3/Analysis.html
new file mode 100644
index 0000000000000000000000000000000000000000..45e89a32e75a7e038cd20f6c31851a8f70a2b6cd
--- /dev/null
+++ b/src/students/GA_2_3/Analysis.html
@@ -0,0 +1,8482 @@
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+ align-items: center;
+ font-size: var(--jp-ui-font-size0);
+ font-weight: 600;
+ text-transform: uppercase;
+ user-select: none;
+}
+
+.jp-Collapser-icon {
+ height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+ transform: rotate(-90deg);
+ margin: auto 0;
+}
+
+.jp-Collapser-title {
+ line-height: 25px;
+}
+
+.jp-Collapse-contents {
+ padding: 0 12px;
+ background-color: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+ --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+ --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+ --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-bell: url(data:image/svg+xml;base64,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);
+ --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+ --jp-icon-bug: url(data:image/svg+xml;base64,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);
+ --jp-icon-build: url(data:image/svg+xml;base64,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);
+ --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+ --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
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+ --jp-icon-filter: url(data:image/svg+xml;base64,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);
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+ --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
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+ --jp-icon-image: url(data:image/svg+xml;base64,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);
+ --jp-icon-info: url(data:image/svg+xml;base64,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);
+ --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
+ --jp-icon-json: url(data:image/svg+xml;base64,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);
+ --jp-icon-julia: url(data:image/svg+xml;base64,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);
+ --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
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+ --jp-icon-jupyterlab-wordmark: 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+ --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+ --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+ --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+ --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+ --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+ --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+ --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+ --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+ --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+ --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+ --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-palette: url(data:image/svg+xml;base64,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);
+ --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+ --jp-icon-python: url(data:image/svg+xml;base64,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);
+ --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+ --jp-icon-react: url(data:image/svg+xml;base64,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);
+ --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-regex: url(data:image/svg+xml;base64,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);
+ --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-search: url(data:image/svg+xml;base64,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);
+ --jp-icon-settings: url(data:image/svg+xml;base64,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);
+ --jp-icon-share: url(data:image/svg+xml;base64,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);
+ --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+ --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-tag: url(data:image/svg+xml;base64,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);
+ --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+ --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+ --jp-icon-toc: url(data:image/svg+xml;base64,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);
+ --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+ --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-users: url(data:image/svg+xml;base64,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);
+ --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-word: url(data:image/svg+xml;base64,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);
+ --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+ background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+ background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+ background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+ background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+ background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+ background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+ background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+ background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+ background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+ background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+ background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+ background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+ background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+ background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+ background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+ background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+ background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+ background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+ background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+ background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+ background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+ background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+ background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+ background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+ background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+ background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+ background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+ background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+ background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+ background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+ background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+ background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+ background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+ background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+ background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+ background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+ background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+ background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+ background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+ background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+ background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+ background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+ background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+ background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+ background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+ background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+ background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+ background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+ background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+ background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+ background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+ background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+ background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+ background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+ background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+ background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+ background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+ background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+ background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+ background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+ background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+ background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+ background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+ background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+ background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+ background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+ background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+ background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+ background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+ background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+ background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+ background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+ background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+ background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+ background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+ background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+ background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+ background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+ background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+ background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+ background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+ background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+ background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+ background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+ background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+ background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+ background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+ background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+ background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+ background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+ background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+ background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+ background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+ background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+ background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+ background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+ background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+ background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+ background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+ background-position: center;
+ background-repeat: no-repeat;
+ background-size: 16px;
+ min-width: 16px;
+ min-height: 16px;
+}
+
+.jp-Icon-cover {
+ background-position: center;
+ background-repeat: no-repeat;
+ background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+ background-size: 16px;
+ min-width: 16px;
+ min-height: 16px;
+}
+
+.jp-Icon-18 {
+ background-size: 18px;
+ min-width: 18px;
+ min-height: 18px;
+}
+
+.jp-Icon-20 {
+ background-size: 20px;
+ min-width: 20px;
+ min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+ align-items: center;
+ display: flex;
+ padding: 4px;
+ padding-bottom: 5px;
+ margin-right: 1px;
+ background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+ background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+ width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+ flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+ flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+ fill: none;
+}
+
+.jp-icon-none[stroke] {
+ stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+ fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+ fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+ fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+ fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+ fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+ stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+ stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+ stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+ stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+ stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+ fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+ fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+ fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+ fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+ stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+ stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+ stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+ stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+ fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+ fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+ fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+ fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+ stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+ stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+ stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+ stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+ fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+ fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+ fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+ fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+ fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+ fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+ fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+ fill: var(
+ --jp-terminal-icon-background-color,
+ var(--jp-inverse-layout-color2)
+ );
+}
+
+.jp-text-editor-icon-color[fill] {
+ fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+ fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+ fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+ fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+* of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+ .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+ > .lm-TabBar-tabCloseIcon
+ > :not(:hover)
+ > .jp-icon3[fill] {
+ fill: none;
+}
+
+.lm-DockPanel-tabBar
+ .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+ > .lm-TabBar-tabCloseIcon
+ > :not(:hover)
+ > .jp-icon-busy[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+ fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+ fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+ splash, the splash icon can loose theming. To prevent that, we set a
+ default for its color variable */
+:root {
+ --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+ margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+ display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+ fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+ stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+ width: 100%;
+ height: 100%;
+}
+
+.jp-IFrame > iframe {
+ border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+ position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+ content: '';
+ position: absolute;
+ top: 0;
+ left: 0;
+ right: 0;
+ bottom: 0;
+ background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+ position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+ border: none;
+ padding: 0;
+ min-width: 0;
+ width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+ font-size: var(--jp-content-font-size2);
+ border-color: var(--jp-input-border-color);
+ border-style: solid;
+ border-radius: var(--jp-border-radius);
+ border-width: 1px;
+ padding: 6px 8px;
+ background: none;
+ color: var(--jp-ui-font-color0);
+ height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+ position: relative;
+ top: 2px;
+ margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+ cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+ cursor: pointer;
+ font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+ display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+ display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+ -moz-outline-radius: unset;
+ outline: var(--jp-border-width) solid var(--md-blue-500);
+ outline-offset: -1px;
+ box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+ background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+ /* Disable default description field for checkbox:
+ because other widgets do not have description fields,
+ we add descriptions to each widget on the field level.
+ */
+ display: none;
+}
+
+.jp-FormGroup-content #root__description {
+ display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+ width: 5px;
+ background-color: var(--jp-brand-color2);
+ margin-top: 0;
+ margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+ flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+ background-color: var(--jp-error-color0);
+ margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+ font-size: var(--jp-content-font-size2);
+ color: var(--jp-ui-font-color0);
+ flex-basis: 100%;
+ padding: 4px 0;
+ font-weight: var(--jp-content-heading-font-weight);
+ border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+ padding: 4px 0;
+ white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+ width: 100%;
+ border: 1px solid var(--jp-border-color2);
+ border-radius: 4px;
+ margin: 4px;
+}
+
+.jp-ArrayOperations {
+ display: flex;
+ margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+ margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+ fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+ cursor: not-allowed;
+ opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+ color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+ display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+ display: flex;
+ align-items: center;
+ flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+ margin-left: 7px;
+ color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+ flex-basis: 100%;
+ padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+ flex-basis: 100%;
+ padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+ font-size: var(--jp-content-font-size1);
+ font-weight: normal;
+ min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+ margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+ /* Display `jp-ArrayOperations` buttons side-by-side with content except
+ for small screens where flex-wrap will place them one below the other.
+ */
+ display: flex;
+ align-items: center;
+ flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+ padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+ margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+ width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+ display: flex;
+ padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+ .jp-FormGroup-compactTitle
+ .jp-FormGroup-description {
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+ padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+ width: 100%;
+ box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+ padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+ .jp-objectFieldWrapper
+ .jp-objectFieldWrapper
+ .form-group {
+ padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+ margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+ margin-block-start: 0.5em;
+ margin-block-end: 0.5em;
+ padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+ display: flex;
+ flex-direction: column;
+ min-width: var(--jp-sidebar-min-width);
+ overflow-y: auto;
+ color: var(--jp-ui-font-color1);
+ background: var(--jp-layout-color1);
+ font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+ flex: 0 0 auto;
+ display: flex;
+ border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+ font-size: var(--jp-ui-font-size0);
+ font-weight: 600;
+ letter-spacing: 1px;
+ margin: 0;
+ padding: 2px;
+ text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+ flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+ flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+ height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+ display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+ box-sizing: border-box;
+ line-height: 25px;
+ margin: 0;
+ display: flex;
+ align-items: center;
+ background: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+ cursor: pointer;
+ user-select: none;
+ -moz-user-select: none;
+ -webkit-user-select: none;
+ text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+ /* Title is rotated for horizontal accordion panel using CSS */
+ display: block;
+ transform-origin: top left;
+ transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+ user-select: none;
+ text-overflow: ellipsis;
+ white-space: nowrap;
+ overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+ transform: rotate(-90deg);
+ margin: auto 0;
+ height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+ transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+ background: none;
+ box-shadow: none;
+ border: none;
+ margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+ background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+ overflow: hidden;
+ text-overflow: ellipsis;
+ white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+ position: absolute;
+ display: flex;
+ justify-content: center;
+ align-items: center;
+ z-index: 10;
+ left: 0;
+ top: 0;
+ width: 100%;
+ height: 100%;
+ background: var(--jp-layout-color0);
+ outline: none;
+}
+
+.jp-SpinnerContent {
+ font-size: 10px;
+ margin: 50px auto;
+ text-indent: -9999em;
+ width: 3em;
+ height: 3em;
+ border-radius: 50%;
+ background: var(--jp-brand-color3);
+ background: linear-gradient(
+ to right,
+ #f37626 10%,
+ rgba(255, 255, 255, 0) 42%
+ );
+ position: relative;
+ animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+ width: 50%;
+ height: 50%;
+ background: #f37626;
+ border-radius: 100% 0 0;
+ position: absolute;
+ top: 0;
+ left: 0;
+ content: '';
+}
+
+.jp-SpinnerContent::after {
+ background: var(--jp-layout-color0);
+ width: 75%;
+ height: 75%;
+ border-radius: 50%;
+ content: '';
+ margin: auto;
+ position: absolute;
+ top: 0;
+ left: 0;
+ bottom: 0;
+ right: 0;
+}
+
+@keyframes fadeIn {
+ 0% {
+ opacity: 0;
+ }
+
+ 100% {
+ opacity: 1;
+ }
+}
+
+@keyframes load3 {
+ 0% {
+ transform: rotate(0deg);
+ }
+
+ 100% {
+ transform: rotate(360deg);
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color0);
+ border: none;
+ box-sizing: border-box;
+ text-align: center;
+ line-height: 32px;
+ height: 32px;
+ padding: 0 12px;
+ letter-spacing: 0.8px;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+ background: var(--jp-input-background);
+ height: 28px;
+ box-sizing: border-box;
+ border: var(--jp-border-width) solid var(--jp-border-color1);
+ padding-left: 7px;
+ padding-right: 7px;
+ font-size: var(--jp-ui-font-size2);
+ color: var(--jp-ui-font-color0);
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+ appearance: checkbox;
+ -webkit-appearance: checkbox;
+ -moz-appearance: checkbox;
+ height: auto;
+}
+
+input.jp-mod-styled:focus {
+ border: var(--jp-border-width) solid var(--md-blue-500);
+ box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+ display: flex;
+ position: relative;
+ flex-direction: column;
+ padding: 1px;
+ background-color: var(--jp-layout-color1);
+ box-sizing: border-box;
+ margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+ height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+ border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+ background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+ cursor: pointer;
+ color: var(--jp-ui-font-color0);
+ background-color: var(--jp-input-hover-background);
+ box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+ flex: 1 1 auto;
+ width: 100%;
+ font-size: var(--jp-ui-font-size2);
+ background: var(--jp-input-background);
+ color: var(--jp-ui-font-color0);
+ padding: 0 25px 0 8px;
+ border: var(--jp-border-width) solid var(--jp-input-border-color);
+ border-radius: 0;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+ height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+ max-height: 200px;
+ overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+ display: flex;
+ align-items: center;
+ padding-left: 4px;
+ padding-right: 4px;
+ font-size: var(--jp-ui-font-size1);
+ background-color: transparent;
+ color: var(--jp-ui-font-color1);
+ border: none;
+ height: 20px;
+}
+
+.jp-switch:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+ margin-right: 5px;
+ font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+ cursor: pointer;
+ background-color: var(--jp-switch-color, var(--jp-border-color1));
+ -webkit-transition: 0.4s;
+ transition: 0.4s;
+ border-radius: 34px;
+ height: 16px;
+ width: 35px;
+ position: relative;
+}
+
+.jp-switch-track::before {
+ content: '';
+ position: absolute;
+ height: 10px;
+ width: 10px;
+ margin: 3px;
+ left: 0;
+ background-color: var(--jp-ui-inverse-font-color1);
+ -webkit-transition: 0.4s;
+ transition: 0.4s;
+ border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+ background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+ /* track width (35) - margins (3 + 3) - thumb width (10) */
+ left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-toolbar-height: calc(
+ 28px + var(--jp-border-width)
+ ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+ color: var(--jp-ui-font-color1);
+ flex: 0 0 auto;
+ display: flex;
+ flex-direction: row;
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ background: var(--jp-toolbar-background);
+ min-height: var(--jp-toolbar-micro-height);
+ padding: 2px;
+ z-index: 8;
+ overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+ flex-grow: 1;
+ flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+ display: inline-block;
+ width: 32px;
+ background-repeat: no-repeat;
+ background-position: center;
+ background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+ flex: 0 0 auto;
+ display: flex;
+ padding-left: 1px;
+ padding-right: 1px;
+ font-size: var(--jp-ui-font-size1);
+ line-height: var(--jp-private-toolbar-height);
+ height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+ color: transparent;
+ border: none;
+ box-sizing: border-box;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+ padding: 0;
+ margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+ background: var(--jp-layout-color1);
+ border: none;
+ box-sizing: border-box;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+ padding: 0 6px;
+ margin: 0;
+ height: 24px;
+ border-radius: var(--jp-border-radius);
+ display: flex;
+ align-items: center;
+ text-align: center;
+ font-size: 14px;
+ min-width: unset;
+ min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+ opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+ padding: 0;
+ flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+ font-size: var(--jp-ui-font-size1);
+ line-height: 100%;
+ padding-left: 2px;
+ color: var(--jp-ui-font-color1);
+ font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+ .jp-MainAreaWidget
+ > .jp-Toolbar.jp-Toolbar-micro {
+ padding: 0;
+ min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+ .jp-MainAreaWidget
+ > .jp-Toolbar {
+ border: none;
+ box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+ position: relative;
+ overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+ position: relative;
+}
+
+.jp-WindowedPanel-window {
+ position: absolute;
+ left: 0;
+ right: 0;
+ overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+ text-decoration: unset;
+ color: unset;
+}
+
+a:hover {
+ text-decoration: unset;
+ color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+ text-decoration: revert;
+ color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+ text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+ color: var(--jp-ui-font-color2);
+ border-radius: var(--jp-border-radius);
+ padding: 0 12px;
+ font-size: var(--jp-ui-font-size1);
+
+ /* Copy from blueprint 3 */
+ display: inline-flex;
+ flex-direction: row;
+ border: none;
+ cursor: pointer;
+ align-items: center;
+ justify-content: center;
+ text-align: left;
+ vertical-align: middle;
+ min-height: 30px;
+ min-width: 30px;
+}
+
+.jp-Button:disabled {
+ cursor: not-allowed;
+}
+
+.jp-Button:empty {
+ padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+ min-height: 24px;
+ min-width: 24px;
+ font-size: 12px;
+ padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+ background: none;
+}
+
+.jp-InputGroup {
+ display: block;
+ position: relative;
+}
+
+.jp-InputGroup input {
+ box-sizing: border-box;
+ border: none;
+ border-radius: 0;
+ background-color: transparent;
+ color: var(--jp-ui-font-color0);
+ box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+ padding-bottom: 0;
+ padding-top: 0;
+ padding-left: 10px;
+ padding-right: 28px;
+ position: relative;
+ width: 100%;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+ appearance: none;
+ font-size: 14px;
+ font-weight: 400;
+ height: 30px;
+ line-height: 30px;
+ outline: none;
+ vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+ box-shadow: inset 0 0 0 var(--jp-border-width)
+ var(--jp-input-active-box-shadow-color),
+ inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+ cursor: not-allowed;
+ resize: block;
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+ cursor: not-allowed;
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+ position: absolute;
+ bottom: 1px;
+ right: 0;
+ padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+ background-color: initial;
+ border: none;
+ border-radius: 0;
+ box-shadow: none;
+ color: var(--jp-ui-font-color0);
+ display: block;
+ font-size: var(--jp-ui-font-size1);
+ font-family: var(--jp-ui-font-family);
+ height: 24px;
+ line-height: 14px;
+ padding: 0 25px 0 10px;
+ text-align: left;
+ -moz-appearance: none;
+ -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color2);
+ cursor: not-allowed;
+ resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+ cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color0);
+}
+
+select {
+ box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+ display: flex;
+ align-items: center;
+ background: var(--jp-layout-color2);
+ min-height: var(--jp-statusbar-height);
+ justify-content: space-between;
+ padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+ display: flex;
+ align-items: center;
+ flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+ display: flex;
+ align-items: center;
+}
+
+.jp-StatusBar-Right {
+ display: flex;
+ align-items: center;
+ flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+ max-height: var(--jp-statusbar-height);
+ margin: 0 2px;
+ height: var(--jp-statusbar-height);
+ white-space: nowrap;
+ text-overflow: ellipsis;
+ color: var(--jp-ui-font-color1);
+ padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+ background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+ background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+ color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+ box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+ font-size: var(--jp-ui-font-size1);
+ font-family: var(--jp-ui-font-family);
+ line-height: 24px;
+ color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+ display: flex;
+ align-items: center;
+ flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+ display: block;
+ margin: 0 auto;
+ width: 16px;
+ height: 24px;
+ align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+ height: 10px;
+ width: 100px;
+ border: solid 0.25px var(--jp-brand-color2);
+ border-radius: 3px;
+ overflow: hidden;
+ align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+ background-color: var(--jp-brand-color2);
+ background-image: linear-gradient(
+ -45deg,
+ rgba(255, 255, 255, 0.2) 25%,
+ transparent 25%,
+ transparent 50%,
+ rgba(255, 255, 255, 0.2) 50%,
+ rgba(255, 255, 255, 0.2) 75%,
+ transparent 75%,
+ transparent
+ );
+ background-size: 40px 40px;
+ float: left;
+ width: 0%;
+ height: 100%;
+ font-size: 12px;
+ line-height: 14px;
+ color: #fff;
+ text-align: center;
+ animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+ color: var(--jp-ui-font-color1);
+ font-family: var(--jp-ui-font-family);
+ font-size: var(--jp-ui-font-size1);
+ line-height: 10px;
+ width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+ 0% {
+ background-position: 0 0;
+ }
+
+ 100% {
+ background-position: 40px 40px;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+ padding-bottom: 0;
+ color: var(--jp-ui-font-color1);
+ background: var(--jp-layout-color1);
+
+ /* This is needed so that all font sizing of children done in ems is
+ * relative to this base size */
+ font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+ position: absolute;
+ z-index: 10000;
+ top: 38px;
+ left: 30%;
+ margin: 0;
+ padding: 4px;
+ width: 40%;
+ box-shadow: var(--jp-elevation-z4);
+ border-radius: 4px;
+ background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+ max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+ display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+ display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+ margin-left: 4px;
+ margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+ .lm-CommandPalette
+ .lm-CommandPalette-item.lm-mod-disabled {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+ padding: 4px;
+ background-color: var(--jp-layout-color1);
+ z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+ overflow: overlay;
+ padding: 0 9px;
+ background-color: var(--jp-input-active-background);
+ height: 30px;
+ box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+ box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+ inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+ color: white;
+ background-color: var(--jp-brand-color1);
+ position: absolute;
+ top: 4px;
+ right: 4px;
+ padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+ height: 20px;
+ width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+ background: transparent;
+ width: calc(100% - 18px);
+ float: left;
+ border: none;
+ outline: none;
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color0);
+ line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+ color: var(--jp-ui-font-color2);
+ font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+ margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+ border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+ color: var(--jp-ui-font-color1);
+ cursor: pointer;
+ display: flex;
+ font-size: var(--jp-ui-font-size0);
+ font-weight: 600;
+ letter-spacing: 1px;
+ margin-top: 8px;
+ padding: 8px 0 8px 12px;
+ text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+ background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+ background-color: transparent;
+ font-weight: bold;
+ color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+ padding: 4px 12px 4px 4px;
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ font-weight: 400;
+ display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+ color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+ color: var(--jp-ui-inverse-font-color1);
+ background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+ color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+ color: var(--jp-ui-inverse-font-color1);
+ background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+ background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+ overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+ color: var(--jp-ui-font-color0);
+ background-color: transparent;
+ font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+ color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+ margin: 0 4px 0 0;
+ position: relative;
+ width: 16px;
+ top: 2px;
+ flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+ opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+ flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+ display: none;
+}
+
+.lm-CommandPalette-content {
+ background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+ content: 'No results';
+ margin: auto;
+ margin-top: 20px;
+ width: 100px;
+ display: block;
+ font-size: var(--jp-ui-font-size2);
+ font-family: var(--jp-ui-font-family);
+ font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+ text-align: center;
+ margin-top: 24px;
+ line-height: 1.32;
+ padding: 0 8px;
+ color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+ position: absolute;
+ z-index: 10000;
+ display: flex;
+ flex-direction: column;
+ align-items: center;
+ justify-content: center;
+ top: 0;
+ left: 0;
+ margin: 0;
+ padding: 0;
+ width: 100%;
+ height: 100%;
+ background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+ display: flex;
+ flex-direction: column;
+ margin-left: auto;
+ margin-right: auto;
+ background: var(--jp-layout-color1);
+ padding: 24px 24px 12px;
+ min-width: 300px;
+ min-height: 150px;
+ max-width: 1000px;
+ max-height: 500px;
+ box-sizing: border-box;
+ box-shadow: var(--jp-elevation-z20);
+ word-wrap: break-word;
+ border-radius: var(--jp-border-radius);
+
+ /* This is needed so that all font sizing of children done in ems is
+ * relative to this base size */
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color1);
+ resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+ max-width: 500px;
+}
+
+.jp-Dialog-button {
+ overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+ outline: 1px solid var(--jp-brand-color1);
+ outline-offset: 4px;
+ -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+ border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+ outline-offset: 4px;
+ -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+ outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+ outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+ outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+ padding: 0;
+ height: 100%;
+ min-width: unset;
+ min-height: unset;
+}
+
+.jp-Dialog-header {
+ display: flex;
+ justify-content: space-between;
+ flex: 0 0 auto;
+ padding-bottom: 12px;
+ font-size: var(--jp-ui-font-size3);
+ font-weight: 400;
+ color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+ display: flex;
+ flex-direction: column;
+ flex: 1 1 auto;
+ font-size: var(--jp-ui-font-size1);
+ background: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ overflow: auto;
+}
+
+.jp-Dialog-footer {
+ display: flex;
+ flex-direction: row;
+ justify-content: flex-end;
+ align-items: center;
+ flex: 0 0 auto;
+ margin-left: -12px;
+ margin-right: -12px;
+ padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+ padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+ outline: 1px solid var(--jp-input-active-border-color);
+ outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+ flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+ overflow: hidden;
+ white-space: nowrap;
+ text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+ width: 100%;
+}
+
+.jp-Dialog-body > button {
+ padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+ line-height: 1.4;
+ color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+ margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+ flex-direction: row-reverse;
+ align-items: end;
+ width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+ flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+ outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+ padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+ width: auto;
+ padding: 10px;
+ background: var(--jp-error-color3);
+ border: var(--jp-border-width) solid var(--jp-error-color1);
+ border-radius: var(--jp-border-radius);
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ white-space: pre-wrap;
+ word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+ --md-red-50: #ffebee;
+ --md-red-100: #ffcdd2;
+ --md-red-200: #ef9a9a;
+ --md-red-300: #e57373;
+ --md-red-400: #ef5350;
+ --md-red-500: #f44336;
+ --md-red-600: #e53935;
+ --md-red-700: #d32f2f;
+ --md-red-800: #c62828;
+ --md-red-900: #b71c1c;
+ --md-red-A100: #ff8a80;
+ --md-red-A200: #ff5252;
+ --md-red-A400: #ff1744;
+ --md-red-A700: #d50000;
+ --md-pink-50: #fce4ec;
+ --md-pink-100: #f8bbd0;
+ --md-pink-200: #f48fb1;
+ --md-pink-300: #f06292;
+ --md-pink-400: #ec407a;
+ --md-pink-500: #e91e63;
+ --md-pink-600: #d81b60;
+ --md-pink-700: #c2185b;
+ --md-pink-800: #ad1457;
+ --md-pink-900: #880e4f;
+ --md-pink-A100: #ff80ab;
+ --md-pink-A200: #ff4081;
+ --md-pink-A400: #f50057;
+ --md-pink-A700: #c51162;
+ --md-purple-50: #f3e5f5;
+ --md-purple-100: #e1bee7;
+ --md-purple-200: #ce93d8;
+ --md-purple-300: #ba68c8;
+ --md-purple-400: #ab47bc;
+ --md-purple-500: #9c27b0;
+ --md-purple-600: #8e24aa;
+ --md-purple-700: #7b1fa2;
+ --md-purple-800: #6a1b9a;
+ --md-purple-900: #4a148c;
+ --md-purple-A100: #ea80fc;
+ --md-purple-A200: #e040fb;
+ --md-purple-A400: #d500f9;
+ --md-purple-A700: #a0f;
+ --md-deep-purple-50: #ede7f6;
+ --md-deep-purple-100: #d1c4e9;
+ --md-deep-purple-200: #b39ddb;
+ --md-deep-purple-300: #9575cd;
+ --md-deep-purple-400: #7e57c2;
+ --md-deep-purple-500: #673ab7;
+ --md-deep-purple-600: #5e35b1;
+ --md-deep-purple-700: #512da8;
+ --md-deep-purple-800: #4527a0;
+ --md-deep-purple-900: #311b92;
+ --md-deep-purple-A100: #b388ff;
+ --md-deep-purple-A200: #7c4dff;
+ --md-deep-purple-A400: #651fff;
+ --md-deep-purple-A700: #6200ea;
+ --md-indigo-50: #e8eaf6;
+ --md-indigo-100: #c5cae9;
+ --md-indigo-200: #9fa8da;
+ --md-indigo-300: #7986cb;
+ --md-indigo-400: #5c6bc0;
+ --md-indigo-500: #3f51b5;
+ --md-indigo-600: #3949ab;
+ --md-indigo-700: #303f9f;
+ --md-indigo-800: #283593;
+ --md-indigo-900: #1a237e;
+ --md-indigo-A100: #8c9eff;
+ --md-indigo-A200: #536dfe;
+ --md-indigo-A400: #3d5afe;
+ --md-indigo-A700: #304ffe;
+ --md-blue-50: #e3f2fd;
+ --md-blue-100: #bbdefb;
+ --md-blue-200: #90caf9;
+ --md-blue-300: #64b5f6;
+ --md-blue-400: #42a5f5;
+ --md-blue-500: #2196f3;
+ --md-blue-600: #1e88e5;
+ --md-blue-700: #1976d2;
+ --md-blue-800: #1565c0;
+ --md-blue-900: #0d47a1;
+ --md-blue-A100: #82b1ff;
+ --md-blue-A200: #448aff;
+ --md-blue-A400: #2979ff;
+ --md-blue-A700: #2962ff;
+ --md-light-blue-50: #e1f5fe;
+ --md-light-blue-100: #b3e5fc;
+ --md-light-blue-200: #81d4fa;
+ --md-light-blue-300: #4fc3f7;
+ --md-light-blue-400: #29b6f6;
+ --md-light-blue-500: #03a9f4;
+ --md-light-blue-600: #039be5;
+ --md-light-blue-700: #0288d1;
+ --md-light-blue-800: #0277bd;
+ --md-light-blue-900: #01579b;
+ --md-light-blue-A100: #80d8ff;
+ --md-light-blue-A200: #40c4ff;
+ --md-light-blue-A400: #00b0ff;
+ --md-light-blue-A700: #0091ea;
+ --md-cyan-50: #e0f7fa;
+ --md-cyan-100: #b2ebf2;
+ --md-cyan-200: #80deea;
+ --md-cyan-300: #4dd0e1;
+ --md-cyan-400: #26c6da;
+ --md-cyan-500: #00bcd4;
+ --md-cyan-600: #00acc1;
+ --md-cyan-700: #0097a7;
+ --md-cyan-800: #00838f;
+ --md-cyan-900: #006064;
+ --md-cyan-A100: #84ffff;
+ --md-cyan-A200: #18ffff;
+ --md-cyan-A400: #00e5ff;
+ --md-cyan-A700: #00b8d4;
+ --md-teal-50: #e0f2f1;
+ --md-teal-100: #b2dfdb;
+ --md-teal-200: #80cbc4;
+ --md-teal-300: #4db6ac;
+ --md-teal-400: #26a69a;
+ --md-teal-500: #009688;
+ --md-teal-600: #00897b;
+ --md-teal-700: #00796b;
+ --md-teal-800: #00695c;
+ --md-teal-900: #004d40;
+ --md-teal-A100: #a7ffeb;
+ --md-teal-A200: #64ffda;
+ --md-teal-A400: #1de9b6;
+ --md-teal-A700: #00bfa5;
+ --md-green-50: #e8f5e9;
+ --md-green-100: #c8e6c9;
+ --md-green-200: #a5d6a7;
+ --md-green-300: #81c784;
+ --md-green-400: #66bb6a;
+ --md-green-500: #4caf50;
+ --md-green-600: #43a047;
+ --md-green-700: #388e3c;
+ --md-green-800: #2e7d32;
+ --md-green-900: #1b5e20;
+ --md-green-A100: #b9f6ca;
+ --md-green-A200: #69f0ae;
+ --md-green-A400: #00e676;
+ --md-green-A700: #00c853;
+ --md-light-green-50: #f1f8e9;
+ --md-light-green-100: #dcedc8;
+ --md-light-green-200: #c5e1a5;
+ --md-light-green-300: #aed581;
+ --md-light-green-400: #9ccc65;
+ --md-light-green-500: #8bc34a;
+ --md-light-green-600: #7cb342;
+ --md-light-green-700: #689f38;
+ --md-light-green-800: #558b2f;
+ --md-light-green-900: #33691e;
+ --md-light-green-A100: #ccff90;
+ --md-light-green-A200: #b2ff59;
+ --md-light-green-A400: #76ff03;
+ --md-light-green-A700: #64dd17;
+ --md-lime-50: #f9fbe7;
+ --md-lime-100: #f0f4c3;
+ --md-lime-200: #e6ee9c;
+ --md-lime-300: #dce775;
+ --md-lime-400: #d4e157;
+ --md-lime-500: #cddc39;
+ --md-lime-600: #c0ca33;
+ --md-lime-700: #afb42b;
+ --md-lime-800: #9e9d24;
+ --md-lime-900: #827717;
+ --md-lime-A100: #f4ff81;
+ --md-lime-A200: #eeff41;
+ --md-lime-A400: #c6ff00;
+ --md-lime-A700: #aeea00;
+ --md-yellow-50: #fffde7;
+ --md-yellow-100: #fff9c4;
+ --md-yellow-200: #fff59d;
+ --md-yellow-300: #fff176;
+ --md-yellow-400: #ffee58;
+ --md-yellow-500: #ffeb3b;
+ --md-yellow-600: #fdd835;
+ --md-yellow-700: #fbc02d;
+ --md-yellow-800: #f9a825;
+ --md-yellow-900: #f57f17;
+ --md-yellow-A100: #ffff8d;
+ --md-yellow-A200: #ff0;
+ --md-yellow-A400: #ffea00;
+ --md-yellow-A700: #ffd600;
+ --md-amber-50: #fff8e1;
+ --md-amber-100: #ffecb3;
+ --md-amber-200: #ffe082;
+ --md-amber-300: #ffd54f;
+ --md-amber-400: #ffca28;
+ --md-amber-500: #ffc107;
+ --md-amber-600: #ffb300;
+ --md-amber-700: #ffa000;
+ --md-amber-800: #ff8f00;
+ --md-amber-900: #ff6f00;
+ --md-amber-A100: #ffe57f;
+ --md-amber-A200: #ffd740;
+ --md-amber-A400: #ffc400;
+ --md-amber-A700: #ffab00;
+ --md-orange-50: #fff3e0;
+ --md-orange-100: #ffe0b2;
+ --md-orange-200: #ffcc80;
+ --md-orange-300: #ffb74d;
+ --md-orange-400: #ffa726;
+ --md-orange-500: #ff9800;
+ --md-orange-600: #fb8c00;
+ --md-orange-700: #f57c00;
+ --md-orange-800: #ef6c00;
+ --md-orange-900: #e65100;
+ --md-orange-A100: #ffd180;
+ --md-orange-A200: #ffab40;
+ --md-orange-A400: #ff9100;
+ --md-orange-A700: #ff6d00;
+ --md-deep-orange-50: #fbe9e7;
+ --md-deep-orange-100: #ffccbc;
+ --md-deep-orange-200: #ffab91;
+ --md-deep-orange-300: #ff8a65;
+ --md-deep-orange-400: #ff7043;
+ --md-deep-orange-500: #ff5722;
+ --md-deep-orange-600: #f4511e;
+ --md-deep-orange-700: #e64a19;
+ --md-deep-orange-800: #d84315;
+ --md-deep-orange-900: #bf360c;
+ --md-deep-orange-A100: #ff9e80;
+ --md-deep-orange-A200: #ff6e40;
+ --md-deep-orange-A400: #ff3d00;
+ --md-deep-orange-A700: #dd2c00;
+ --md-brown-50: #efebe9;
+ --md-brown-100: #d7ccc8;
+ --md-brown-200: #bcaaa4;
+ --md-brown-300: #a1887f;
+ --md-brown-400: #8d6e63;
+ --md-brown-500: #795548;
+ --md-brown-600: #6d4c41;
+ --md-brown-700: #5d4037;
+ --md-brown-800: #4e342e;
+ --md-brown-900: #3e2723;
+ --md-grey-50: #fafafa;
+ --md-grey-100: #f5f5f5;
+ --md-grey-200: #eee;
+ --md-grey-300: #e0e0e0;
+ --md-grey-400: #bdbdbd;
+ --md-grey-500: #9e9e9e;
+ --md-grey-600: #757575;
+ --md-grey-700: #616161;
+ --md-grey-800: #424242;
+ --md-grey-900: #212121;
+ --md-blue-grey-50: #eceff1;
+ --md-blue-grey-100: #cfd8dc;
+ --md-blue-grey-200: #b0bec5;
+ --md-blue-grey-300: #90a4ae;
+ --md-blue-grey-400: #78909c;
+ --md-blue-grey-500: #607d8b;
+ --md-blue-grey-600: #546e7a;
+ --md-blue-grey-700: #455a64;
+ --md-blue-grey-800: #37474f;
+ --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+ /* This is the padding value to fill the gaps between lines containing spans with background color. */
+ --jp-private-code-span-padding: calc(
+ (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+ );
+}
+
+.jp-RenderedText {
+ text-align: left;
+ padding-left: var(--jp-code-padding);
+ line-height: var(--jp-code-line-height);
+ font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+ color: var(--jp-content-font-color1);
+ font-size: var(--jp-code-font-size);
+ border: none;
+ margin: 0;
+ padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+ text-decoration: underline;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+ color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+ color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+ color: #00a250;
+}
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+.jp-RenderedText pre .ansi-yellow-fg {
+ color: #ddb62b;
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+.jp-RenderedText pre .ansi-blue-fg {
+ color: #208ffb;
+}
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+ color: #d160c4;
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+.jp-RenderedText pre .ansi-cyan-fg {
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+
+.jp-RenderedText pre .ansi-white-fg {
+ color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+ background-color: #3e424d;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+ background-color: #e75c58;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+ background-color: #00a250;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+ background-color: #ddb62b;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+ background-color: #208ffb;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+ background-color: #d160c4;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+ background-color: #60c6c8;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+ background-color: #c5c1b4;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+ color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+ color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+ color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+ color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+ color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+ color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+ color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+ color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+ background-color: #282c36;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+ background-color: #b22b31;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+ background-color: #007427;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+ background-color: #b27d12;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+ background-color: #0065ca;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+ background-color: #a03196;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+ background-color: #258f8f;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+ background-color: #a1a6b2;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+ color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+ background-color: var(--jp-inverse-layout-color0);
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+ font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+ text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+ background: var(--jp-rendermime-error-background);
+ padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+ color: var(--jp-content-font-color1);
+ font-size: var(--jp-content-font-size1);
+ line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+ padding: var(--jp-code-padding);
+ text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+ color: var(--jp-content-font-color1);
+ font-family: var(--jp-content-font-family);
+ font-size: var(--jp-content-font-size1);
+ line-height: var(--jp-content-line-height);
+
+ /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+ padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+ font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+ font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+ text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+ text-decoration: underline;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+ line-height: var(--jp-content-heading-line-height);
+ font-weight: var(--jp-content-heading-font-weight);
+ font-style: normal;
+ margin: var(--jp-content-heading-margin-top) 0
+ var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+ margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+ margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+ font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+ font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+ font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+ font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+ font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+ font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+ padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+ list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+ list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+ list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+ list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+ list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+ list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+ list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+ list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+ margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+ color: var(--jp-border-color2);
+ background-color: var(--jp-border-color1);
+ margin-top: 1em;
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+ margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+ border: 0;
+ background-color: var(--jp-layout-color0);
+ color: var(--jp-content-font-color1);
+ font-family: var(--jp-code-font-family);
+ font-size: inherit;
+ line-height: var(--jp-code-line-height);
+ padding: 0;
+ white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+ background-color: var(--jp-layout-color2);
+ padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+ border-collapse: collapse;
+ border-spacing: 0;
+ border: none;
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ table-layout: fixed;
+ margin-left: auto;
+ margin-bottom: 1em;
+ margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+ border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+ vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+ vertical-align: middle;
+ padding: 0.5em;
+ line-height: normal;
+ white-space: normal;
+ max-width: none;
+ border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+ max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+ text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+ font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+ background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+ background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+ background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+ text-align: left;
+ margin: 0;
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+ -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+ display: block;
+ margin-left: 0;
+ margin-right: 0;
+ margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+ background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+ background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+ max-width: 100%;
+ height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+ max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+ padding: var(--jp-notebook-padding);
+ border: var(--jp-border-width) solid transparent;
+ border-radius: var(--jp-border-radius);
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+ color: var(--jp-info-color0);
+ background-color: var(--jp-info-color3);
+ border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+ border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+ color: var(--jp-warn-color0);
+ background-color: var(--jp-warn-color3);
+ border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+ border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+ color: var(--jp-success-color0);
+ background-color: var(--jp-success-color3);
+ border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+ border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+ color: var(--jp-error-color0);
+ background-color: var(--jp-error-color3);
+ border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+ border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+ margin: 1em 2em;
+ padding: 0 1em;
+ border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+ visibility: hidden;
+ margin-left: 8px;
+ color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+ visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+ background-color: var(--jp-rendermime-table-row-background);
+ border: 1px solid var(--jp-border-color0);
+ border-bottom-color: var(--jp-border-color2);
+ border-radius: 3px;
+ box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+ display: inline-block;
+ font-size: var(--jp-ui-font-size0);
+ line-height: 1em;
+ padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+ margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+ position: fixed;
+ width: 200px;
+ height: 200px;
+ margin-top: -100px;
+ margin-left: -100px;
+ will-change: transform;
+ z-index: 100;
+}
+
+.lm-mod-drag-image {
+ will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+ padding: 4px 12px;
+ background-color: var(--jp-layout-color2);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ z-index: 2;
+ font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+ font-size: var(--jp-ui-font-size0);
+ line-height: var(--jp-ui-font-size1);
+ margin-top: 4px;
+ color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+ border: none;
+ border-radius: 0;
+ position: absolute;
+ background-size: 16px;
+ background-repeat: no-repeat;
+ background-position: center;
+ outline: none;
+}
+
+.jp-lineFormButtonContainer {
+ top: 4px;
+ right: 8px;
+ height: 24px;
+ padding: 0 12px;
+ width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+ top: 0;
+ right: 0;
+ background-color: var(--jp-brand-color1);
+ height: 100%;
+ width: 100%;
+ box-sizing: border-box;
+ padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+ top: 0;
+ right: 0;
+ background-color: transparent;
+ height: 100%;
+ width: 100%;
+ box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+ overflow: hidden;
+ padding: 0 8px;
+ border: 1px solid var(--jp-border-color0);
+ background-color: var(--jp-input-active-background);
+ height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+ border: var(--jp-border-width) solid var(--md-blue-500);
+ box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+ background: transparent;
+ width: 200px;
+ height: 100%;
+ border: none;
+ outline: none;
+ color: var(--jp-ui-font-color0);
+ line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+ display: flex;
+ flex-direction: column;
+ width: 100%;
+}
+
+.jp-JSONEditor-host {
+ flex: 1 1 auto;
+ border: var(--jp-border-width) solid var(--jp-input-border-color);
+ border-radius: 0;
+ background: var(--jp-layout-color0);
+ min-height: 50px;
+ padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+ border-color: red;
+ outline-color: red;
+}
+
+.jp-JSONEditor-header {
+ display: flex;
+ flex: 1 0 auto;
+ padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+ flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+ height: 16px;
+ width: 16px;
+ background-size: 18px;
+ background-repeat: no-repeat;
+ background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+ background-color: var(--jp-input-active-background);
+ border: 1px solid var(--jp-input-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+ border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+ border: none;
+ outline: none;
+ color: var(--jp-ui-font-color0);
+ font-size: var(--jp-ui-font-size1);
+ background-color: var(--jp-layout-color0);
+ font-family: var(--jp-ui-font-family);
+ padding: 2px 1px;
+ resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+ position: absolute;
+ background-color: var(--jp-toolbar-background);
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ top: 0;
+ right: 0;
+ z-index: 7;
+ min-width: 405px;
+ padding: 2px;
+ font-size: var(--jp-ui-font-size1);
+
+ --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+ background-color: var(--jp-toolbar-background);
+ outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+ display: flex;
+ align-items: center;
+ margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+ display: inline-block;
+ cursor: pointer;
+ box-sizing: border-box;
+ width: 100%;
+ height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+ width: 100%;
+ height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+ border: var(--jp-border-width) solid var(--jp-border-color0);
+ display: flex;
+ background-color: var(--jp-layout-color0);
+ margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+ border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+ all: initial;
+ overflow: hidden;
+ display: inline-block;
+ border: none;
+ box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+ width: 14px;
+ height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+ width: var(--jp-private-document-search-button-height);
+ height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+ outline: var(--jp-border-width) solid
+ var(--jp-cell-editor-active-border-color);
+ outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+ outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+ width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+ display: block;
+ padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+ opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+ opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+ opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+ padding-left: 10px;
+ padding-right: 10px;
+ user-select: none;
+ min-width: 35px;
+ display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+ display: inline-block;
+ padding-right: 2px;
+ margin-left: auto;
+ white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+ margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+ outline: 0;
+ border: none;
+ width: var(--jp-private-document-search-button-height);
+ height: var(--jp-private-document-search-button-height);
+ vertical-align: middle;
+ margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+ padding: 0 8px;
+ margin-left: 3px;
+ width: 100%;
+ display: grid;
+ justify-content: start;
+ grid-template-columns: 1fr 1fr;
+ align-items: center;
+ justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+ display: flex;
+ align-items: center;
+ user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+ color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+ overflow: hidden;
+ display: inline-block;
+ box-sizing: border-box;
+ border: var(--jp-border-width) solid var(--jp-border-color0);
+ margin: auto 2px;
+ padding: 1px 4px;
+ height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+ border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+ display: inline-block;
+ text-align: center;
+ cursor: pointer;
+ box-sizing: border-box;
+ color: var(--jp-ui-font-color1);
+
+ /* height - 2 * (padding of wrapper) */
+ line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+ width: 100%;
+ height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+ outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+ margin-left: 14px;
+ display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+ border: none;
+ background-color: var(--jp-toolbar-background);
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+ line-height: var(--jp-code-line-height);
+ font-size: var(--jp-code-font-size);
+ font-family: var(--jp-code-font-family);
+ border: 0;
+ border-radius: 0;
+ height: auto;
+
+ /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+ padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+ background-color: var(--jp-layout-color0);
+ color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+ cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+ .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+ border-left: var(--jp-code-cursor-width1) solid
+ var(--jp-editor-cursor-color);
+ }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+ .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+ border-left: var(--jp-code-cursor-width2) solid
+ var(--jp-editor-cursor-color);
+ }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+ display: none;
+}
+
+.jp-CollaboratorCursor {
+ border-left: 5px solid transparent;
+ border-right: 5px solid transparent;
+ border-top: none;
+ border-bottom: 3px solid;
+ background-clip: content-box;
+ margin-left: -5px;
+ margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+ /* `.cm-searching span`: we need to override syntax highlighting */
+ background-color: var(--jp-search-unselected-match-background-color);
+ color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+ background-color: var(--jp-search-unselected-match-background-color);
+ color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+ background-color: var(--jp-search-selected-match-background-color);
+ color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+ background-color: var(--jp-search-selected-match-background-color);
+ color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+ background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+ background-position: center left;
+ background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+ position: absolute;
+ z-index: 1;
+ transform: translateX(-50%);
+ color: white;
+ border-radius: 3px;
+ padding-left: 4px;
+ padding-right: 4px;
+ padding-top: 1px;
+ padding-bottom: 1px;
+ text-align: center;
+ font-size: var(--jp-ui-font-size1);
+ white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+ border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+ position: relative;
+ border-left: 1px solid black;
+ margin-left: -1px;
+ margin-right: -1px;
+ box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+ white-space: nowrap;
+ position: absolute;
+ top: -1.15em;
+ padding-bottom: 0.05em;
+ left: -1px;
+ font-size: 0.95em;
+ font-family: var(--jp-ui-font-family);
+ font-weight: bold;
+ line-height: normal;
+ user-select: none;
+ color: white;
+ padding-left: 2px;
+ padding-right: 2px;
+ z-index: 101;
+ transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+ transition-delay: 0.7s;
+ opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+ opacity: 1;
+ transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+ outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-filebrowser-button-height: 28px;
+ --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+ display: flex;
+ flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+ flex-wrap: wrap;
+ row-gap: 12px;
+ border-bottom: none;
+ height: auto;
+ margin: 8px 12px 0;
+ box-shadow: none;
+ padding: 0;
+ justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+ flex: 1 1 auto;
+ display: flex;
+ flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+ flex: 0 0 auto;
+ margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+ margin: 0 2px;
+ padding: 0 2px;
+ border-radius: var(--jp-border-radius);
+ cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+ margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+ background-color: var(--jp-brand-color2);
+ opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+ flex: 0 0 auto;
+ padding-left: 0;
+ padding-right: 2px;
+ align-items: center;
+ height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+ width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+ color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+ margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+ display: none;
+}
+
+.jp-FileSize-hidden {
+ display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+ flex: 1 1 auto;
+ display: flex;
+ flex-direction: column;
+ outline: 0;
+}
+
+.jp-DirListing-header {
+ flex: 0 0 auto;
+ display: flex;
+ flex-direction: row;
+ align-items: center;
+ overflow: hidden;
+ border-top: var(--jp-border-width) solid var(--jp-border-color2);
+ border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+ padding: 4px 12px 2px;
+ font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+ background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+ flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+ flex: 0 0 112px;
+ border-left: var(--jp-border-width) solid var(--jp-border-color2);
+ text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+ flex: 0 0 75px;
+ border-left: var(--jp-border-width) solid var(--jp-border-color2);
+ text-align: right;
+}
+
+.jp-id-narrow {
+ display: none;
+ flex: 0 0 5px;
+ padding: 4px;
+ border-left: var(--jp-border-width) solid var(--jp-border-color2);
+ text-align: right;
+ color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+ display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+ display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+ font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+ flex: 1 1 auto;
+ margin: 0;
+ padding: 0;
+ list-style-type: none;
+ overflow: auto;
+ background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+ color: var(--jp-ui-font-color0);
+ background-color: transparent;
+ font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+ color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+ outline: 5px dashed rgba(128, 128, 128, 0.5);
+ outline-offset: -10px;
+ cursor: copy;
+}
+
+.jp-DirListing-item {
+ display: flex;
+ flex-direction: row;
+ align-items: center;
+ padding: 4px 12px;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+ /* Increases hit area of checkbox. */
+ padding: 4px;
+}
+
+.jp-DirListing-header
+ .jp-DirListing-checkboxWrapper
+ + .jp-DirListing-headerItem {
+ padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+ position: relative;
+ left: -4px;
+ margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+ visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+ .jp-DirListing-checkboxWrapper {
+ visibility: hidden;
+ }
+
+ .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+ .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+ visibility: visible;
+ }
+}
+
+.jp-DirListing-item[data-is-dot] {
+ opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+ color: var(--jp-ui-inverse-font-color1);
+ background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+ background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+ background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+ flex: 0 0 20px;
+ margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+ flex: 1 0 64px;
+ white-space: nowrap;
+ overflow: hidden;
+ text-overflow: ellipsis;
+ user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+ outline-width: 2px;
+ outline-color: var(--jp-inverse-layout-color1);
+ outline-style: solid;
+ outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+ outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+ flex: 0 0 125px;
+ text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+ flex: 0 0 90px;
+ text-align: right;
+}
+
+.jp-DirListing-editor {
+ flex: 1 0 64px;
+ outline: none;
+ border: none;
+ color: var(--jp-ui-font-color1);
+ background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+ color: var(--jp-success-color1);
+ content: '\25CF';
+ font-size: 8px;
+ position: absolute;
+ left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+ .jp-DirListing-itemIcon::before {
+ color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+ font-size: var(--jp-ui-font-size1);
+ padding-left: 4px;
+ margin-left: 4px;
+ width: 160px;
+ background-color: var(--jp-ui-inverse-font-color2);
+ box-shadow: var(--jp-elevation-z2);
+ border-radius: 0;
+ color: var(--jp-ui-font-color1);
+ transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+ min-width: 120px;
+ min-height: 120px;
+ outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+ overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+ display: table;
+ table-layout: fixed;
+ width: 100%;
+ overflow: hidden;
+}
+
+.jp-OutputPrompt {
+ width: var(--jp-cell-prompt-width);
+ color: var(--jp-cell-outprompt-font-color);
+ font-family: var(--jp-cell-prompt-font-family);
+ padding: var(--jp-code-padding);
+ letter-spacing: var(--jp-cell-prompt-letter-spacing);
+ line-height: var(--jp-code-line-height);
+ font-size: var(--jp-code-font-size);
+ border: var(--jp-border-width) solid transparent;
+ opacity: var(--jp-cell-prompt-opacity);
+
+ /* Right align prompt text, don't wrap to handle large prompt numbers */
+ text-align: right;
+ white-space: nowrap;
+ overflow: hidden;
+ text-overflow: ellipsis;
+
+ /* Disable text selection */
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.jp-OutputArea-prompt {
+ display: table-cell;
+ vertical-align: top;
+}
+
+.jp-OutputArea-output {
+ display: table-cell;
+ width: 100%;
+ height: auto;
+ overflow: auto;
+ user-select: text;
+ -moz-user-select: text;
+ -webkit-user-select: text;
+ -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+ padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+ position: absolute;
+ top: 0;
+ width: var(--jp-cell-prompt-width);
+ height: 100%;
+ opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+ background: var(--jp-layout-color2);
+ box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+ cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+ cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+ width: 100%;
+ display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+ position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+ content: '';
+ position: absolute;
+ top: 0;
+ left: 0;
+ right: 0;
+ bottom: 0;
+ background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+ border: none;
+ margin: 0;
+ padding: 0;
+ overflow-x: auto;
+ overflow-y: auto;
+ word-break: break-all;
+ word-wrap: break-word;
+ white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+ margin-left: 0;
+ margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+ display: block;
+}
+
+.jp-OutputArea-output dl {
+ width: 100%;
+ overflow: hidden;
+ padding: 0;
+ margin: 0;
+}
+
+.jp-OutputArea-output dt {
+ font-weight: bold;
+ float: left;
+ width: 20%;
+ padding: 0;
+ margin: 0;
+}
+
+.jp-OutputArea-output dd {
+ float: left;
+ width: 80%;
+ padding: 0;
+ margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+ background: var(--jp-layout-color3);
+ font-size: calc(var(--jp-code-font-size) * 1.4);
+ text-align: center;
+ text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ * - nested output areas (e.g. in the case of output widgets)
+ * - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+ display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+ padding: 0;
+ border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+ margin-left: 0;
+ width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+ padding-top: var(--jp-code-padding);
+ border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+ color: var(--jp-content-font-color0);
+ padding-right: var(--jp-code-padding);
+ vertical-align: baseline;
+ flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+ font-family: var(--jp-code-font-family);
+ font-size: inherit;
+ color: inherit;
+ background-color: inherit;
+ width: 42%;
+ min-width: 200px;
+
+ /* make sure input baseline aligns with prompt */
+ vertical-align: baseline;
+
+ /* padding + margin = 0.5em between prompt and cursor */
+ padding: 0 0.25em;
+ margin: 0 0.25em;
+ flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+ opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+ box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+ opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+ height: 100%;
+ display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+ height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+ .jp-OutputArea-child {
+ break-inside: avoid-page;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+ .jp-OutputPrompt {
+ display: table-row;
+ text-align: left;
+ }
+
+ .jp-OutputArea-child .jp-OutputArea-output {
+ display: table-row;
+ margin-left: var(--jp-notebook-padding);
+ }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+ margin: 10px;
+ text-decoration: none;
+ cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+ text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+ display: flex;
+ flex-direction: column;
+ background: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+ text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+ color: var(--jp-content-font-color2);
+ padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+ margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+ overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+ margin: 4px;
+}
+
+.jp-TableOfContents ol {
+ list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+ /* Align left border with triangle icon center */
+ padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+ /* left margin for the active heading indicator */
+ margin: 0 0 0 var(--jp-private-toc-active-width);
+ padding: 0;
+ background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.jp-tocItem-heading {
+ display: flex;
+ cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+ display: block;
+ padding: 4px 0;
+ white-space: nowrap;
+ text-overflow: ellipsis;
+ overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+ height: 20px;
+ margin: 2px 2px 0;
+ padding: 0;
+ background: none;
+ border: none;
+ cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+ background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+ content: ' ';
+ background: transparent;
+ width: var(--jp-private-toc-active-width);
+ height: 24px;
+ position: absolute;
+ left: 0;
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+ background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+ background: var(--jp-brand-color0);
+ opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+ flex: 0 0 var(--jp-cell-collapser-width);
+ padding: 0;
+ margin: 0;
+ border: none;
+ outline: none;
+ background: transparent;
+ border-radius: var(--jp-border-radius);
+ opacity: 1;
+}
+
+.jp-Collapser-child {
+ display: block;
+ width: 100%;
+ box-sizing: border-box;
+
+ /* height: 100% doesn't work because the height of its parent is computed from content */
+ position: absolute;
+ top: 0;
+ bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+ .jp-Collapser {
+ display: none;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+ height: 0;
+ width: 100%;
+ padding: 0;
+ margin: 0;
+ border: none;
+ outline: none;
+ background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+ display: table;
+ table-layout: fixed;
+ width: 100%;
+ overflow: hidden;
+}
+
+.jp-InputArea-editor {
+ display: table-cell;
+ overflow: hidden;
+ vertical-align: top;
+
+ /* This is the non-active, default styling */
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ border-radius: 0;
+ background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+ display: table-cell;
+ vertical-align: top;
+ width: var(--jp-cell-prompt-width);
+ color: var(--jp-cell-inprompt-font-color);
+ font-family: var(--jp-cell-prompt-font-family);
+ padding: var(--jp-code-padding);
+ letter-spacing: var(--jp-cell-prompt-letter-spacing);
+ opacity: var(--jp-cell-prompt-opacity);
+ line-height: var(--jp-code-line-height);
+ font-size: var(--jp-code-font-size);
+ border: var(--jp-border-width) solid transparent;
+
+ /* Right align prompt text, don't wrap to handle large prompt numbers */
+ text-align: right;
+ white-space: nowrap;
+ overflow: hidden;
+ text-overflow: ellipsis;
+
+ /* Disable text selection */
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+ .jp-InputArea-editor {
+ display: table-row;
+ margin-left: var(--jp-notebook-padding);
+ }
+
+ .jp-InputPrompt {
+ display: table-row;
+ text-align: left;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+ display: table;
+ table-layout: fixed;
+ width: 100%;
+}
+
+.jp-Placeholder-prompt {
+ display: table-cell;
+ box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+ display: table-cell;
+ padding: 4px 6px;
+ border: 1px solid transparent;
+ border-radius: 0;
+ background: none;
+ box-sizing: border-box;
+ cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+ display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+ border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+ width: 32px;
+ height: 16px;
+ border: 1px solid transparent;
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+ border: 1px solid var(--jp-border-color1);
+ box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+ background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+ white-space: nowrap;
+ overflow-x: hidden;
+ color: var(--jp-inverse-layout-color3);
+ font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+ border-color: var(--jp-cell-editor-border-color);
+ background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+ padding: var(--jp-cell-padding);
+ margin: 0;
+ border: none;
+ outline: none;
+ background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+ display: flex;
+ flex-direction: row;
+ padding: 0;
+ margin: 0;
+
+ /* Added to reveal the box-shadow on the input and output collapsers. */
+ overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+ flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+ border: none !important;
+ background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+ min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+ margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+ overflow-y: auto;
+ max-height: 24em;
+ margin-left: var(--jp-private-cell-scrolling-output-offset);
+ resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+ max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+ content: ' ';
+ box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+ width: 100%;
+ height: 100%;
+ position: sticky;
+ bottom: 0;
+ top: 0;
+ margin-top: -50%;
+ float: left;
+ display: block;
+ pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+ padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+ width: calc(
+ var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+ );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+ left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+ display: table-cell;
+ width: 100%;
+ margin-top: 0;
+ margin-bottom: 0;
+ padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+ overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+ display: flex;
+ min-height: var(--jp-cell-collapser-min-height);
+ font-size: var(--jp-code-font-size);
+ position: absolute;
+ background-color: transparent;
+ background-size: 25px;
+ background-repeat: no-repeat;
+ background-position-x: center;
+ background-position-y: top;
+ background-image: var(--jp-icon-caret-down);
+ right: 0;
+ top: 0;
+ bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+ background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+ font-size: var(--jp-content-font-size1);
+}
+
+/*
+ Align collapseHeadingButton with cell top header
+ The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+ font-size: var(--jp-content-font-size5);
+ background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+ font-size: var(--jp-content-font-size4);
+ background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+ font-size: var(--jp-content-font-size3);
+ background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+ font-size: var(--jp-content-font-size2);
+ background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+ font-size: var(--jp-content-font-size1);
+ background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+ font-size: var(--jp-content-font-size0);
+ background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+ display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+ :is(.jp-MarkdownCell:hover, .jp-mod-active)
+ .jp-collapseHeadingButton {
+ display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+ margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+ margin-top: var(--jp-code-padding);
+ border: 1px solid var(--jp-border-color2);
+ background-color: var(--jp-border-color3) !important;
+ color: var(--jp-content-font-color0) !important;
+ display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+ background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+ .jp-Cell-inputWrapper,
+ .jp-Cell-outputWrapper {
+ display: block;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+ padding: var(--jp-notebook-toolbar-padding);
+
+ /* disable paint containment from lumino 2.0 default strict CSS containment */
+ contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+ border: none;
+ box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+ height: 24px;
+ font-size: var(--jp-ui-font-size1);
+ line-height: 14px;
+ border-radius: 0;
+ display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+ top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+ position: absolute;
+ height: fit-content;
+ display: flex;
+ flex-direction: row;
+ flex-wrap: wrap;
+ justify-content: flex-end;
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ background: var(--jp-toolbar-background);
+ min-height: var(--jp-toolbar-micro-height);
+ padding: var(--jp-notebook-toolbar-padding);
+ z-index: 1;
+ right: 0;
+ top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+ margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+ position: relative;
+ display: inline-block;
+ height: 100%;
+ z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+ visibility: hidden;
+ height: auto;
+ width: max-content;
+ width: -moz-max-content;
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color1);
+ text-align: justify;
+ border-radius: 6px;
+ padding: 0 5px;
+ position: fixed;
+ display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+ transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+ transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+ display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+ visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+ font-size: var(--jp-ui-font-size1);
+ font-family: var(--jp-ui-font-family);
+ color: var(--jp-ui-font-color1);
+ line-height: 24px;
+ display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+ display: flex;
+ justify-content: center;
+ height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+ content: '';
+
+ /* Must be identical to form a circle */
+ width: 12px;
+ height: 12px;
+ background: none;
+ border: none;
+ position: absolute;
+ right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+ border-radius: 50%;
+ border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+ background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+ border-radius: 50%;
+ border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+ background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+ margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+ height: 27px;
+ margin-left: calc(
+ var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+ var(--jp-cell-padding)
+ );
+ width: calc(
+ 100% -
+ (
+ var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+ var(--jp-cell-padding) + var(--jp-cell-padding)
+ )
+ );
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ color: var(--jp-ui-font-color3);
+ margin-top: 6px;
+ background: none;
+ cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+ border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+ .jp-Notebook-footer {
+ opacity: 0;
+ }
+
+ .jp-Notebook-footer:focus,
+ .jp-Notebook-footer:hover {
+ opacity: 1;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-side-by-side-output-size: 1fr;
+ --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+ --jp-private-notebook-dragImage-width: 304px;
+ --jp-private-notebook-dragImage-height: 36px;
+ --jp-private-notebook-selected-color: var(--md-blue-400);
+ --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+ display: block;
+ height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+ min-width: 240px;
+ min-height: 120px;
+}
+
+.jp-Notebook {
+ padding: var(--jp-notebook-padding);
+ outline: none;
+ overflow: auto;
+ background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+ display: block;
+ content: '';
+ min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+ contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+ overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+ cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+| - Command
+| - Edit
+| - Cell
+| - None
+| - Active (only one can be active)
+| - Selected (the cells actions are applied to)
+| - Multiselected (when multiple selected, the cursor)
+| - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+ opacity: var(--jp-cell-prompt-not-active-opacity);
+ color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+ opacity: var(--jp-cell-prompt-not-active-opacity);
+ color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+ background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+ color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+ color: var(--jp-warn-color1);
+ content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+ background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+ box-shadow: var(--jp-elevation-z2);
+ background: var(--jp-brand-color1);
+ opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+ background: var(--jp-brand-color0);
+ opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+ background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+ .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+ background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+ border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+ background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+ opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+ .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+ border-top-color: var(--jp-private-notebook-selected-color);
+ border-top-style: solid;
+ border-top-width: 2px;
+}
+
+.jp-dragImage {
+ display: block;
+ flex-direction: row;
+ width: var(--jp-private-notebook-dragImage-width);
+ height: var(--jp-private-notebook-dragImage-height);
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ background: var(--jp-cell-editor-background);
+ overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+ box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+ flex: 1 1 auto;
+ z-index: 2;
+ font-size: var(--jp-code-font-size);
+ font-family: var(--jp-code-font-family);
+ line-height: var(--jp-code-line-height);
+ padding: var(--jp-code-padding);
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ background: var(--jp-cell-editor-background-color);
+ color: var(--jp-content-font-color3);
+ text-align: left;
+ margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+ flex: 0 0 auto;
+ min-width: 36px;
+ color: var(--jp-cell-inprompt-font-color);
+ padding: var(--jp-code-padding);
+ padding-left: 12px;
+ font-family: var(--jp-cell-prompt-font-family);
+ letter-spacing: var(--jp-cell-prompt-letter-spacing);
+ line-height: 1.9;
+ font-size: var(--jp-code-font-size);
+ border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+ z-index: -1;
+ position: absolute;
+ height: 32px;
+ width: 300px;
+ top: 8px;
+ left: 8px;
+ background: var(--jp-layout-color2);
+ border: var(--jp-border-width) solid var(--jp-input-border-color);
+ box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+ display: block;
+ min-width: var(--jp-sidebar-min-width);
+ color: var(--jp-ui-font-color1);
+ background: var(--jp-layout-color1);
+
+ /* This is needed so that all font sizing of children done in ems is
+ * relative to this base size */
+ font-size: var(--jp-ui-font-size1);
+ overflow: auto;
+}
+
+.jp-ActiveCellTool {
+ padding: 12px 0;
+ display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+ flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+ background: var(--jp-cell-editor-background);
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ border-radius: 0;
+ min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+ min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+ padding: 5px 4px;
+ margin: 0;
+ white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+ flex-direction: column;
+ padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+ margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color0);
+ border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+ line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+ margin-top: 4px;
+ margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+ width: 100%;
+ margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+ margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+ --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+ --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+ flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+ margin-top: 3em;
+ margin-bottom: 3em;
+ margin-left: 5%;
+ margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+ display: grid;
+ grid-template-columns: minmax(0, 1fr) min-content minmax(
+ 0,
+ var(--jp-side-by-side-output-size)
+ );
+ grid-template-rows: auto minmax(0, 1fr) auto;
+ grid-template-areas:
+ 'header header header'
+ 'input handle output'
+ 'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+ grid-template-columns: minmax(0, 1fr) min-content minmax(
+ 0,
+ var(--jp-side-by-side-resized-cell)
+ );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+ grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+ grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+ /* overwrite the default margin (no vertical separation needed in side by side move */
+ margin-top: 0;
+ grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+ grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+ grid-area: handle;
+ user-select: none;
+ display: block;
+ height: 100%;
+ cursor: ew-resize;
+ padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+ content: '';
+ display: block;
+ background: var(--jp-border-color2);
+ height: 100%;
+ width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+ .jp-CodeCell.jp-mod-resizedCell
+ .jp-CellResizeHandle::after {
+ background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+ padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+ background: #fff;
+ border: 1px solid;
+ border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+ border-radius: 4px;
+ -webkit-border-radius: 4px;
+ margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+ padding: 15px;
+ position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+ background-repeat: repeat;
+ background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+ background: #f6f7f8;
+ background-image: -webkit-linear-gradient(
+ left,
+ #f6f7f8 0%,
+ #edeef1 20%,
+ #f6f7f8 40%,
+ #f6f7f8 100%
+ );
+ background-repeat: no-repeat;
+ background-size: 800px 104px;
+ height: 104px;
+ position: absolute;
+ right: 15px;
+ left: 15px;
+ top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+ top: 20px;
+ height: 20px;
+ left: 15px;
+ width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+ left: 15px;
+ top: 50px;
+ height: 10px;
+ width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+ left: 15px;
+ right: 15px;
+ height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+ top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+ top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+ top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+ /* Elevation
+ *
+ * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+ *
+ * https://github.com/material-components/material-components-web
+ * https://material-components-web.appspot.com/elevation.html
+ */
+
+ --jp-shadow-base-lightness: 0;
+ --jp-shadow-umbra-color: rgba(
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ 0.2
+ );
+ --jp-shadow-penumbra-color: rgba(
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ 0.14
+ );
+ --jp-shadow-ambient-color: rgba(
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ 0.12
+ );
+ --jp-elevation-z0: none;
+ --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+ 0 1px 1px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 3px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+ 0 2px 2px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 5px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+ 0 4px 5px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 10px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+ 0 6px 10px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 18px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+ 0 8px 10px 1px var(--jp-shadow-penumbra-color),
+ 0 3px 14px 2px var(--jp-shadow-ambient-color);
+ --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+ 0 12px 17px 2px var(--jp-shadow-penumbra-color),
+ 0 5px 22px 4px var(--jp-shadow-ambient-color);
+ --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+ 0 16px 24px 2px var(--jp-shadow-penumbra-color),
+ 0 6px 30px 5px var(--jp-shadow-ambient-color);
+ --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+ 0 20px 31px 3px var(--jp-shadow-penumbra-color),
+ 0 8px 38px 7px var(--jp-shadow-ambient-color);
+ --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+ 0 24px 38px 3px var(--jp-shadow-penumbra-color),
+ 0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+ /* Borders
+ *
+ * The following variables, specify the visual styling of borders in JupyterLab.
+ */
+
+ --jp-border-width: 1px;
+ --jp-border-color0: var(--md-grey-400);
+ --jp-border-color1: var(--md-grey-400);
+ --jp-border-color2: var(--md-grey-300);
+ --jp-border-color3: var(--md-grey-200);
+ --jp-inverse-border-color: var(--md-grey-600);
+ --jp-border-radius: 2px;
+
+ /* UI Fonts
+ *
+ * The UI font CSS variables are used for the typography all of the JupyterLab
+ * user interface elements that are not directly user generated content.
+ *
+ * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+ * is applied to a parent element. When children elements, such as headings, are sized
+ * in em all things will be computed relative to that body size.
+ */
+
+ --jp-ui-font-scale-factor: 1.2;
+ --jp-ui-font-size0: 0.83333em;
+ --jp-ui-font-size1: 13px; /* Base font size */
+ --jp-ui-font-size2: 1.2em;
+ --jp-ui-font-size3: 1.44em;
+ --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+ helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+ 'Segoe UI Symbol';
+
+ /*
+ * Use these font colors against the corresponding main layout colors.
+ * In a light theme, these go from dark to light.
+ */
+
+ /* Defaults use Material Design specification */
+ --jp-ui-font-color0: rgba(0, 0, 0, 1);
+ --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+ --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+ --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+ /*
+ * Use these against the brand/accent/warn/error colors.
+ * These will typically go from light to darker, in both a dark and light theme.
+ */
+
+ --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+ --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+ --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+ --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+ /* Content Fonts
+ *
+ * Content font variables are used for typography of user generated content.
+ *
+ * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+ * is applied to a parent element. When children elements, such as headings, are sized
+ * in em all things will be computed relative to that body size.
+ */
+
+ --jp-content-line-height: 1.6;
+ --jp-content-font-scale-factor: 1.2;
+ --jp-content-font-size0: 0.83333em;
+ --jp-content-font-size1: 14px; /* Base font size */
+ --jp-content-font-size2: 1.2em;
+ --jp-content-font-size3: 1.44em;
+ --jp-content-font-size4: 1.728em;
+ --jp-content-font-size5: 2.0736em;
+
+ /* This gives a magnification of about 125% in presentation mode over normal. */
+ --jp-content-presentation-font-size1: 17px;
+ --jp-content-heading-line-height: 1;
+ --jp-content-heading-margin-top: 1.2em;
+ --jp-content-heading-margin-bottom: 0.8em;
+ --jp-content-heading-font-weight: 500;
+
+ /* Defaults use Material Design specification */
+ --jp-content-font-color0: rgba(0, 0, 0, 1);
+ --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+ --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+ --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+ --jp-content-link-color: var(--md-blue-900);
+ --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+ 'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+ 'Segoe UI Emoji', 'Segoe UI Symbol';
+
+ /*
+ * Code Fonts
+ *
+ * Code font variables are used for typography of code and other monospaces content.
+ */
+
+ --jp-code-font-size: 13px;
+ --jp-code-line-height: 1.3077; /* 17px for 13px base */
+ --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+ --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+ --jp-code-font-family: var(--jp-code-font-family-default);
+
+ /* This gives a magnification of about 125% in presentation mode over normal. */
+ --jp-code-presentation-font-size: 16px;
+
+ /* may need to tweak cursor width if you change font size */
+ --jp-code-cursor-width0: 1.4px;
+ --jp-code-cursor-width1: 2px;
+ --jp-code-cursor-width2: 4px;
+
+ /* Layout
+ *
+ * The following are the main layout colors use in JupyterLab. In a light
+ * theme these would go from light to dark.
+ */
+
+ --jp-layout-color0: white;
+ --jp-layout-color1: white;
+ --jp-layout-color2: var(--md-grey-200);
+ --jp-layout-color3: var(--md-grey-400);
+ --jp-layout-color4: var(--md-grey-600);
+
+ /* Inverse Layout
+ *
+ * The following are the inverse layout colors use in JupyterLab. In a light
+ * theme these would go from dark to light.
+ */
+
+ --jp-inverse-layout-color0: #111;
+ --jp-inverse-layout-color1: var(--md-grey-900);
+ --jp-inverse-layout-color2: var(--md-grey-800);
+ --jp-inverse-layout-color3: var(--md-grey-700);
+ --jp-inverse-layout-color4: var(--md-grey-600);
+
+ /* Brand/accent */
+
+ --jp-brand-color0: var(--md-blue-900);
+ --jp-brand-color1: var(--md-blue-700);
+ --jp-brand-color2: var(--md-blue-300);
+ --jp-brand-color3: var(--md-blue-100);
+ --jp-brand-color4: var(--md-blue-50);
+ --jp-accent-color0: var(--md-green-900);
+ --jp-accent-color1: var(--md-green-700);
+ --jp-accent-color2: var(--md-green-300);
+ --jp-accent-color3: var(--md-green-100);
+
+ /* State colors (warn, error, success, info) */
+
+ --jp-warn-color0: var(--md-orange-900);
+ --jp-warn-color1: var(--md-orange-700);
+ --jp-warn-color2: var(--md-orange-300);
+ --jp-warn-color3: var(--md-orange-100);
+ --jp-error-color0: var(--md-red-900);
+ --jp-error-color1: var(--md-red-700);
+ --jp-error-color2: var(--md-red-300);
+ --jp-error-color3: var(--md-red-100);
+ --jp-success-color0: var(--md-green-900);
+ --jp-success-color1: var(--md-green-700);
+ --jp-success-color2: var(--md-green-300);
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+ --jp-info-color0: var(--md-cyan-900);
+ --jp-info-color1: var(--md-cyan-700);
+ --jp-info-color2: var(--md-cyan-300);
+ --jp-info-color3: var(--md-cyan-100);
+
+ /* Cell specific styles */
+
+ --jp-cell-padding: 5px;
+ --jp-cell-collapser-width: 8px;
+ --jp-cell-collapser-min-height: 20px;
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+ --jp-cell-editor-background: var(--md-grey-100);
+ --jp-cell-editor-border-color: var(--md-grey-300);
+ --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+ --jp-cell-editor-active-background: var(--jp-layout-color0);
+ --jp-cell-editor-active-border-color: var(--jp-brand-color1);
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+ --jp-cell-prompt-not-active-opacity: 0.5;
+ --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+ /* A custom blend of MD grey and blue 600
+ * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+ --jp-cell-inprompt-font-color: #307fc1;
+
+ /* A custom blend of MD grey and orange 600
+ * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+ --jp-cell-outprompt-font-color: #bf5b3d;
+
+ /* Notebook specific styles */
+
+ --jp-notebook-padding: 10px;
+ --jp-notebook-select-background: var(--jp-layout-color1);
+ --jp-notebook-multiselected-color: var(--md-blue-50);
+
+ /* The scroll padding is calculated to fill enough space at the bottom of the
+ notebook to show one single-line cell (with appropriate padding) at the top
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+ );
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+
+ --jp-rendermime-error-background: #fdd;
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+
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+
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+ --jp-toolbar-border-color: var(--jp-border-color1);
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+ --jp-toolbar-background: var(--jp-layout-color1);
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+ --jp-toolbar-header-margin: 4px 4px 0 4px;
+ --jp-toolbar-active-background: var(--md-grey-300);
+
+ /* Statusbar specific styles */
+
+ --jp-statusbar-height: 24px;
+
+ /* Input field styles */
+
+ --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+ --jp-input-active-background: var(--jp-layout-color1);
+ --jp-input-hover-background: var(--jp-layout-color1);
+ --jp-input-background: var(--md-grey-100);
+ --jp-input-border-color: var(--jp-inverse-border-color);
+ --jp-input-active-border-color: var(--jp-brand-color1);
+ --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+ /* General editor styles */
+
+ --jp-editor-selected-background: #d9d9d9;
+ --jp-editor-selected-focused-background: #d7d4f0;
+ --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+ /* Code mirror specific styles */
+
+ --jp-mirror-editor-keyword-color: #008000;
+ --jp-mirror-editor-atom-color: #88f;
+ --jp-mirror-editor-number-color: #080;
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+ --jp-mirror-editor-variable-color: var(--md-grey-900);
+ --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+ --jp-mirror-editor-variable-3-color: #085;
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+ --jp-mirror-editor-builtin-color: #008000;
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+ --jp-mirror-editor-tag-color: #170;
+ --jp-mirror-editor-attribute-color: #00c;
+ --jp-mirror-editor-header-color: blue;
+ --jp-mirror-editor-quote-color: #090;
+ --jp-mirror-editor-link-color: #00c;
+ --jp-mirror-editor-error-color: #f00;
+ --jp-mirror-editor-hr-color: #999;
+
+ /*
+ RTC user specific colors.
+ These colors are used for the cursor, username in the editor,
+ and the icon of the user.
+ */
+
+ --jp-collaborator-color1: #ffad8e;
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+ --jp-collaborator-color5: #45d4ff;
+ --jp-collaborator-color6: #e2b1ff;
+ --jp-collaborator-color7: #ff9de6;
+
+ /* Vega extension styles */
+
+ --jp-vega-background: white;
+
+ /* Sidebar-related styles */
+
+ --jp-sidebar-min-width: 250px;
+
+ /* Search-related styles */
+
+ --jp-search-toggle-off-opacity: 0.5;
+ --jp-search-toggle-hover-opacity: 0.8;
+ --jp-search-toggle-on-opacity: 1;
+ --jp-search-selected-match-background-color: rgb(245, 200, 0);
+ --jp-search-selected-match-color: black;
+ --jp-search-unselected-match-background-color: var(
+ --jp-inverse-layout-color0
+ );
+ --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+ /* Icon colors that work well with light or dark backgrounds */
+ --jp-icon-contrast-color0: var(--md-purple-600);
+ --jp-icon-contrast-color1: var(--md-green-600);
+ --jp-icon-contrast-color2: var(--md-pink-600);
+ --jp-icon-contrast-color3: var(--md-blue-600);
+
+ /* Button colors */
+ --jp-accept-color-normal: var(--md-blue-700);
+ --jp-accept-color-hover: var(--md-blue-800);
+ --jp-accept-color-active: var(--md-blue-900);
+ --jp-warn-color-normal: var(--md-red-700);
+ --jp-warn-color-hover: var(--md-red-800);
+ --jp-warn-color-active: var(--md-red-900);
+ --jp-reject-color-normal: var(--md-grey-600);
+ --jp-reject-color-hover: var(--md-grey-700);
+ --jp-reject-color-active: var(--md-grey-800);
+
+ /* File or activity icons and switch semantic variables */
+ --jp-jupyter-icon-color: #f37626;
+ --jp-notebook-icon-color: #f37626;
+ --jp-json-icon-color: var(--md-orange-700);
+ --jp-console-icon-background-color: var(--md-blue-700);
+ --jp-console-icon-color: white;
+ --jp-terminal-icon-background-color: var(--md-grey-800);
+ --jp-terminal-icon-color: var(--md-grey-200);
+ --jp-text-editor-icon-color: var(--md-grey-700);
+ --jp-inspector-icon-color: var(--md-grey-700);
+ --jp-switch-color: var(--md-grey-400);
+ --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+ -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+ display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+ overflow: hidden;
+}
+
+.jp-InputArea-editor {
+ overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
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+ margin: 0;
+
+ font-family: inherit;
+ font-size: inherit;
+ line-height: inherit;
+ color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+ line-height: inherit;
+ font-family: inherit;
+}
+
+.jp-RenderedText pre {
+ color: var(--jp-content-font-color1);
+ font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+ display: none;
+}
+
+@page {
+ margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+ .jp-Cell-inputWrapper,
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+ display: block;
+ }
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+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
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+ MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
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+ init_mathjax();
+ </script>
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+ const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+ // do not load mermaidjs if not needed
+ if (!diagrams.length) {
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+ const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
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+ .jp-RenderedMermaid.jp-mod-warning {
+ width: auto;
+ padding: 0.5em;
+ margin-top: 0.5em;
+ border: var(--jp-border-width) solid var(--jp-warn-color2);
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+ }
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+ .jp-RenderedMermaid-Details > pre {
+ margin-top: 1em;
+ }
+
+ .jp-RenderedMermaid-Summary {
+ color: var(--jp-warn-color2);
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+ .jp-RenderedMermaid:not(.jp-mod-warning) pre {
+ display: none;
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+ white-space: normal;
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+</style>
+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="GA-2.3:-Beam-Beats">GA 2.3: Beam Beats<a class="anchor-link" href="#GA-2.3:-Beam-Beats">¶</a></h1><h1 style="position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; top: 60px;right: 30px; margin: 0; border: 0">
+<style>
+ .markdown {width:100%; position: relative}
+ article { position: relative }
+ </style>
+<img \="" alt="No description has been provided for this image" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/tu-logo/TU_P1_full-color.png" style="width:100px"/>
+<img \="" alt="No description has been provided for this image" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/mude-logo/MUDE_Logo-small.png" style="width:100px"/>
+</h1>
+<h2 style="height: 10px">
+</h2>
+<p><em><a href="http://mude.citg.tudelft.nl/">CEGM1000 MUDE</a>: week 2.3. Due: Friday, November 29, 2024.</em></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Analyzing-cantilever-beam-accelerations-and-global-Mean-Sea-Level-measurements">Analyzing cantilever-beam accelerations and global Mean Sea-Level measurements<a class="anchor-link" href="#Analyzing-cantilever-beam-accelerations-and-global-Mean-Sea-Level-measurements">¶</a></h2><p>This project covers the week on Signal Processing (week 2.3).</p>
+<p>As a warming up you will create and analyze some elementary signals yourself, and next, you will carry out frequency domain analyses on two given data-sets, namely acceleration measurements of a Cantilever-Beam experiment, and (in optional Task 10) Global Mean Sea-Level measurements.</p>
+<p>Most of the Tasks in this notebook consist of both coding, producing a plot, and answering (open) questions. Typically, as you work your way through the Tasks, you can often re-use code, or part of it, from earlier Tasks and assignments. That will save you a lot of work!!</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#facb8e; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%"> <p>In many of the code blocks below, template code to create figures is provided. Note that there is a lot of code missing, and one line of <code>YOUR_CODE_HERE</code> does not imply that only one line of code is missing!</p></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Data-Acquisition-System">Data Acquisition System<a class="anchor-link" href="#Data-Acquisition-System">¶</a></h3><p>A data acquisition (DAQ) system usually consists of four components:</p>
+<img alt="No description has been provided for this image" src="https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/DAQ.png" style="margin:auto">
+<ul>
+<li>A sensor transforms a physical signal into a small voltage. The transformation is often frequency dependent or nonlinear, and can show drift or bias.</li>
+<li>Signal conditioning electronics (often included in the sensor housing) filter unwanted frequencies, such as the 50 Hz line frequency caused by power plant generators, using low-pass or notch filters. In addition the sensor voltage may be amplified.</li>
+<li>An analog-to-digital (A/D) converter samples the analog voltage with a certain rate, such as 100 Hz. The A/D converter can measure analog voltages within a certain range, the measurement range. The measured voltage is quantized with a certain resolution, such as 14-bit, which means that the full measurement range is divided into $2^{14}=16,384$ discrete intervals. Together, the resolution and measurement range determine the precision. Usually the sample rate, the measurement range, and the sample resolution are configurable. Sampling and quantizing together turns an analog signal into a digital signal.</li>
+<li>A digital computer reads the sampled data from the A/D converter at specific times, and allows for further processing, analysis and storage of the (digital) signal.</li>
+</ul>
+<p>The result is that an analog, physical signal, is turned into a series of numbers (samples of the signal, in the time domain), ready for processing and analysis in a digital computer.</p>
+<p><img alt="verticalcantileverbeam.png" src="data:image/png;base64,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"/></p>
+<p>One of the data sets that you will analyze during this MUDE Q2 project was acquired by an accelerometer in a smartphone, on top of a vertical cantilever-beam. The accelerometer measures the side-ward accelerations, expressed in m/s<sup>2</sup>, and sampled at 50 Hz. Detailed information about the experiment and the sensor can be found in "Experimental evaluation of smartphone accelerometer and low-cost dual frequency GNSS sensors for deformation monitoring", by Alexandru Lapadat, Christian Tiberius and Peter Teunissen, Sensors 2021, 21, 7946, <a href="https://doi.org/10.3390/s21237946">https://doi.org/10.3390/s21237946</a>.</p>
+<p>A quick impression of the test setup can be gained by watching the short video <a href="https://youtu.be/o4moRwvlBLU?si=aKelBMWm3HB2Of26">Cantilever Beam Experiment</a> (1 minute).</p>
+<p>A theoretical description of the motion of the smartphone accelerometer fixed to the cantilever beam is presented in Appendix A. Pulling the beam at the tip and releasing it, results in a (nearly) horizontal side-ward motion of the smartphone, and the (horizontal) position can be described by a <em>damped harmonic</em> as a function of time. Consequently, also the first and second derivative with respect to time, the velocity and acceleration as a function of time as the smartphone will measure it, are harmonics.</p>
+<h3 id="Basic-sinusoid-signal">Basic sinusoid signal<a class="anchor-link" href="#Basic-sinusoid-signal">¶</a></h3><p>You will start with first creating (and analyzing) a few simple signals yourself. In the first few Tasks of this project, we will take the damping ratio zero and use a fairly short measurement time (duration), and hence the acceleration measured by the smartphone is a plain (undamped) sinusoid as shown in Appendix A (a stationary signal). In the following Tasks we also add a phase offset $\varphi$ to the plain sinusoid:</p>
+$$
+x(t) = A \sin(2 \pi f_c t + \varphi)
+$$<p>The result is taken from the last equation in Appendix A. We consider here acceleration, though for convenience, we omit the dots on top of the $x(t)$.</p>
+</img></div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="kn">import</span> <span class="nn">numpy</span> <span class="k">as</span> <span class="nn">np</span>
+<span class="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">matplotlib.pyplot</span> <span class="k">as</span> <span class="nn">plt</span>
+
+<span class="o">%</span><span class="k">matplotlib</span> inline
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;">
+<p>
+<b>Task 1:</b>
+<ul>
+<li>Create a time-array starting at $t=0$ s, ending at $t=5.0$ s, with a sampling rate of 100 Hz. Hint: what is the number of samples $N$? And what should then be the last value in the time-array? Note that, for example, with $N=10$ samples at a sampling rate of $f_s = 100$ Hz, we have signal samples at times $t=0.00, 0.01, 0.02, ... , 0.08, 0.09$ seconds, hence $T_{meas}= N \Delta t =0.1$ seconds (the sample-and-hold convention).</li>
+<li>Create a sinusoidal signal $x(t) = A \sin(2 \pi f_c t + \varphi)$, with amplitude $A=1.0$ Volt, carrier frequency $f_c=1.0$ Hz, and initial phase $\varphi = 5$ degrees, to be converted into radians.</li>
+<li>Make a plot of the signal against time. Note that this is strictly a <em>sampled signal</em> $x_n$ rather than $x(t)$, but since we use a rather high sampling rate, the signal shown is close to continuous in time. Connecting the sample points of $x_n$ in the graph by lines, as done in the graph below, corroborates the suggestion of a continuous-time signal. Be aware!</li>
+</ul>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#facb8e; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%"> <p>We will give you the answers in this code cell for free!</p></div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">T_meas</span> <span class="o">=</span> <span class="mi">5</span>
+<span class="n">f_s</span> <span class="o">=</span> <span class="mi">100</span> <span class="c1">#sampling rate [Hz]</span>
+
+<span class="n">t_vec</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="mi">0</span><span class="p">,</span> <span class="n">T_meas</span><span class="p">,</span> <span class="mi">1</span> <span class="o">/</span> <span class="n">f_s</span><span class="p">)</span> <span class="c1"># ends at 4.99, length 500 according to the sample-and-hold convention</span>
+
+<span class="n">A</span> <span class="o">=</span> <span class="mi">1</span>
+<span class="n">f_c</span> <span class="o">=</span> <span class="mi">1</span>
+<span class="n">phi</span> <span class="o">=</span> <span class="mi">5</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">/</span> <span class="mi">180</span>
+<span class="n">x</span> <span class="o">=</span> <span class="n">A</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">sin</span><span class="p">(</span><span class="mi">2</span> <span class="o">*</span> <span class="n">np</span><span class="o">.</span><span class="n">pi</span> <span class="o">*</span> <span class="n">f_c</span> <span class="o">*</span> <span class="n">t_vec</span> <span class="o">+</span> <span class="n">phi</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">t_vec</span><span class="p">,</span> <span class="n">x</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'signal'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">'$t \: [s]$'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="sa">r</span><span class="s1">'$x(t) \: [V]$'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">(</span><span class="n">loc</span><span class="o">=</span><span class="s1">'upper right'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="sa">fr</span><span class="s1">'Sinusoidal signal with $A$=</span><span class="si">{</span><span class="n">A</span><span class="si">}</span><span class="s1"> V, $f_c$=</span><span class="si">{</span><span class="n">f_c</span><span class="si">}</span><span class="s1"> Hz and initial phase $\phi$=</span><span class="si">{</span><span class="n">phi</span><span class="si">:</span><span class="s1">.3f</span><span class="si">}</span><span class="s1"> °'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>In addition to the code output above, write your answer in this Markdown cell.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="The-Discrete-Fourier-Transform-(chapter-5)">The Discrete Fourier Transform (chapter 5)<a class="anchor-link" href="#The-Discrete-Fourier-Transform-(chapter-5)">¶</a></h3><p>To discover which frequencies are contained in the signal $x(t)$, we can transform it from the time domain to the frequency domain using the Fourier transform:</p>
+$$
+X(f) = \int_{-\infty}^{\infty} x(t) e^{-j 2\pi f t} dt
+$$<p>Which can then be expressed in terms of magnitude and phase:</p>
+$$
+X(f) = |X(f)|e^{j\theta(f)}
+$$<p>Where $|X(f)|$ plotted against frequency $f$ is called the <em>magnitude spectrum</em> (and practically often referred to as amplitude spectrum).</p>
+<p>The set and number of sinusoids required to approximate or re-create a given signal $x(t)$ depends on the shape of that signal. Of course, when the signal is a pure sinusoid, we only need one term. For an example, consider a 2 Hz sinusoidal signal and its magnitude spectrum below (the magnitude spectrum is expressed in [Vs], which equals [V/Hz], hence a magnitude or amplitude density).</p>
+<img alt="No description has been provided for this image" src="https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/SignalSpectrumExample.png" style="margin:auto" width="800/"/>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>You can see a sharp spike in the magnitude plot (which has two logarithmic axes, and we only plot the spectrum for positive frequencies $f>0$). A continuous time sinusoid with amplitude $A$ will produce a magnitude of $\frac{A T_{meas}}{2}$ in the amplitude spectrum (with $T_{meas}$ the <em>measurement time</em> or duration), rather than $\frac{A}{2}$ which you would expect (in a double-sided spectrum). This is because of the limited time duration of the input signal, which actually implies multiplication of $x(t)$ by a <em>rectangular time window</em> $w(t)=\Pi(\frac{t}{T_{meas}})$. Since the sinusoid has an amplitude of $A=1$ V, and was measured for $T_{meas}=5$ seconds, the magnitude becomes 2.5. The magnitude at all other frequencies is very small, approximately $10^{-15}$, or approximately zero.</p>
+<p>The Fourier transform is a continuous-time operation, mapping the continuous time-domain to the continuous frequency domain. Usually, we don't have continuous-time signals, but discrete time signals $x_n$ sampled at a certain sampling rate. The discrete Fourier Transform (DFT) is the discrete-time equivalent of the continuous time-Fourier transform:</p>
+$$
+X_k = \sum_{n=0}^{N-1}x_ne^{-j2\pi kn/N}, k=0,1,...,N-1
+$$<p>Where $X_k$ is the sequence of frequency domain samples. NumPy contains a function to perform the DFT using a fast numerical algorithm, the Fast Fourier Transform:</p>
+<p><code>X_discr = np.fft.fft(x)</code></p>
+<p>For more information on the function see <a href="https://numpy.org/doc/stable/reference/generated/numpy.fft.fft.html">here</a>.</p>
+<p>The discrete-time signal $x_n$ and the frequency domain samples $X_k$ returned by Python are of equal length ($N$ samples in, $N$ samples out). When you compare the equations of the DFT with the continuous Fourier Transform, you will see that in the continuous equation we integrate over time $t$, while in the DFT <em>no information</em> about the time or sample rate is required (there is no $\Delta t$ in the above equation for $X_k$, as noted at the end of Chapter 5). This results in a <em>scale factor</em> in the spectrum when the DFT of signals with different sample rates are compared. To solve this, we have to multiply the DFT as calculated by NumPy by the sample time interval $\Delta t = 1/f_s$ to restore the time dimension and obtain a <em>discrete approximation of the continuous Fourier Transform</em>. To account for the measurement duration as described above, we have to divide by $T_{meas} = N \Delta t$. So, in total, multiply by $\Delta t$ and divide by $T_{meas}$, hence, we have to divide the NumPy result by the number of samples $N$:</p>
+<p><code>X_cont = np.fft.fft(x) / N</code></p>
+<p>The DFT only contains information (the complex value of $X_k$) at discrete frequencies, known as the <em>analysis frequencies</em>, which are integer multiples of the frequency resolution $f_0$. If we have a sampled signal $x_n$ consisting of $N$ samples, sampled at $f_s$ Hz with $f_s=1/ \Delta t$, the frequency resolution is:</p>
+$$
+f_0 = \frac{1}{T_{meas}} = \frac{1}{N \Delta t} = \frac{f_s}{N}
+$$<p>The first value of the complex vector $X_n$ returned by NumPy is the mean of the time-domain signal corresponding to $f=0$ Hz. So, the frequency vector corresponding to the discrete Fourier transform starts at zero and has $N$ elements, the analysis frequencies:</p>
+<p><code>f_vec = np.arange(0, f_s, f_0)</code></p>
+<p>With task 2 you visualize the entire output as you get it from the <code>np.fft.fft</code>, hence for frequencies $[0,f_s)$. From Chapter 4 you know that the spectrum of a sampled signal repeats every integer multiple of $f_s$ (copies of the spectrum).</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;">
+<p>
+<b>Task 2:</b>
+<ul>
+<li>Calculate the Fast Fourier Transform of the signal you generated in Task 1. Remember: the signal has 500 samples and thus does <em>not</em> end at exactly 5 second.</li>
+<li>Create the frequency vector $f$ with the analysis frequencies.</li>
+<li>Plot the modulus of the Fourier Transform against the frequency $f$ using a log scale on both axes. Use plot markers to see at which frequencies the Fourier transform was calculated.</li>
+</ul>
+<p>On top of that, answer to the following questions:</p>
+<ol>
+<li>Describe the amplitude spectrum.</li>
+<li>What is the magnitude of $X(f)$ at $f$ = 1 Hz?</li>
+<li>Do you notice anything peculiar about the amplitude spectrum?</li>
+</ol>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">YOUR_CODE_HERE</span>
+
+<span class="c1"># Write your own code or use the template below to create your figure(s)</span>
+
+<span class="c1"># f, axes = plt.subplots(1,1,figsize=(10,5))</span>
+
+<span class="c1"># axes[0].plot(YOUR_CODE_HERE, YOUR_CODE_HERE, 'x', color='b', label='Fourier transform')</span>
+<span class="c1"># axes[0].loglog()</span>
+<span class="c1"># axes[0].set_xlabel('$f \: \: [Hz]$')</span>
+<span class="c1"># axes[0].set_ylabel('$|X(f)| \: [V]$')</span>
+<span class="c1"># axes[0].grid()</span>
+<span class="c1"># axes[0].set_title('Log/Log')</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>In addition to the code output above, write your answer in this Markdown cell.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Symmetry">Symmetry<a class="anchor-link" href="#Symmetry">¶</a></h3><p>Due to symmetry properties of the DFT, the following holds for a real signal $x(t)$:</p>
+$$
+|X_k| = |X_{-k}|
+$$<p>Which means that the modulus of the Fourier coefficients is symmetric about $f=0$. The NumPy <code>fft</code> command appends the Fourier coefficients for $k<0$ to the right side of the Fourier coefficients for $k \ge 0$. This is called the <em>two-sided</em> spectrum.</p>
+<p>Since we are working with real signals, the symmetry property is valid, and we can just ignore the coefficients for $k<0$. This means that we consider the following range in the frequency domain:</p>
+<p>$[0, \frac{f_s}{2}]$ for even values of $N$</p>
+<p>$[0, \frac{f_s}{2})$ for odd values of $N$</p>
+<p>In other words, we are only considering frequencies up to half of $f_s$. This is easily implemented in Python using the floor division operator <code>//</code>:</p>
+<p><code>X_cont = X_cont[:N//2]</code>
+<br/>
+<code>f_vec = f_vec[:N//2]</code></p>
+<p>If you're unfamiliar with this, consider that <code>A//B</code> returns the number of times <code>B</code> 'fits into' <code>A</code>. In principle, this will always return an integer, so it can be easily used for indexing an array. In this specifc example, <code>N//2</code> will return $\frac{N}{2}$ for even $N$ and $\frac{N-1}{2}$ for odd N, which is exactly what we want. See the example below.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">N</span> <span class="o">=</span> <span class="mi">100</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="n">N</span><span class="si">}</span><span class="s1"> floor divided by 2: </span><span class="si">{</span><span class="n">N</span><span class="o">//</span><span class="mi">2</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="n">N</span><span class="o">+</span><span class="mi">1</span><span class="si">}</span><span class="s1"> floor divided by 2: </span><span class="si">{</span><span class="p">(</span><span class="n">N</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span><span class="o">//</span><span class="mi">2</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'</span><span class="si">{</span><span class="n">N</span><span class="o">-</span><span class="mi">1</span><span class="si">}</span><span class="s1"> floor divided by 2: </span><span class="si">{</span><span class="p">(</span><span class="n">N</span><span class="o">-</span><span class="mi">1</span><span class="p">)</span><span class="o">//</span><span class="mi">2</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;">
+<p>
+<b>Task 3:</b>
+<ul>
+<li><p>Repeat Task 2 with different measurement times $T_{meas}$ for the signal. Use measurement times such that the $f_c$ = 1 Hz oscillation fits <em>exactly</em> 1 time, 5 times and 20 times.</p>
+</li>
+<li><p>Plot the amplitude spectrum for all three measurement times, <strong>only for positive frequencies</strong>, in separate graphs (log-log scale) with the same domains and answer to the following questions:</p>
+</li>
+<li><p>What is the effect of changing $T_{meas}$ on the frequency range in the amplitude spectrum? Does the highest analysis frequency change?</p>
+</li>
+<li><p>Does the frequency resolution change?</p>
+</li>
+<li><p>Does the magnitude of at the peaks change?</p>
+</li>
+</ul>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">YOUR_CODE_HERE</span>
+
+<span class="c1"># Write your own code or use the template below to create your figure(s)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">(</span><span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span><span class="mi">4</span><span class="p">))</span>
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">T_meas</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">YOUR_CODE_HERE</span><span class="p">):</span>
+ <span class="n">YOUR_CODE_HERE</span>
+
+ <span class="n">plt</span><span class="o">.</span><span class="n">subplot</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">3</span><span class="p">,</span> <span class="n">i</span><span class="o">+</span><span class="mi">1</span><span class="p">)</span>
+
+ <span class="n">YOUR_CODE_HERE</span>
+
+ <span class="n">plt</span><span class="o">.</span><span class="n">grid</span><span class="p">()</span>
+ <span class="n">plt</span><span class="o">.</span><span class="n">tight_layout</span><span class="p">()</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>In addition to the code output above, write your answer in this Markdown cell.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Aliasing-(chapter-4)">Aliasing (chapter 4)<a class="anchor-link" href="#Aliasing-(chapter-4)">¶</a></h3><p>So far we have been analyzing a signal with a fairly low frequency, just $1$ or $2$ Hz. Now suppose, due to some unexpected source, our signal contains a second sinusoid with a much higher frequency. This is often caused by the line frequency ($50$ Hz) due to power plant generators providing the $220$ V current in regular buildings, or by electrical interference.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;">
+<p>
+<b>Task 4: with this task we'll make you run into an aliasing problem . . .</b>
+<ul>
+<li><p>Create a time-array starting $t=0$, with a sampling rate of 100 Hz, and ending such that a sinusoid with a frequency of 1 Hz fits exactly 5 times in the measurement time.</p>
+</li>
+<li><p>Re-create the signal $x(t) = A \sin(2 \pi f_c t + \varphi)$ from the first Task, with amplitude $A=1.0$ V, carrier frequency $f_c=1.0$ Hz, and initial phase $\varphi = 5$ degrees, to be converted into radians.</p>
+</li>
+<li><p>Add to this signal a second sinusoid with a frequency of $80$ Hz and amplitude of $0.1$ V (and zero initial phase).</p>
+</li>
+<li><p>Create a plot of the signal against time, and of the amplitude spectrum as in the previous Tasks.</p>
+</li>
+</ul>
+<p>Then answer to the following questions:</p>
+<ol>
+<li>What do you see in the frequency plot? Are there peaks? How many? Where?</li>
+<li>Does this match what you see in the time plot?</li>
+<li>Does changing the measurement time (duration) help?</li>
+</ol>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">YOUR_CODE_HERE</span>
+
+<span class="c1"># Write your own code or use the template below to create your figure(s)</span>
+
+<span class="c1"># plt.figure(figsize=(12,6))</span>
+<span class="c1"># plt.subplot(211)</span>
+<span class="c1"># YOUR_CODE_HERE</span>
+<span class="c1"># plt.grid()</span>
+<span class="c1"># plt.title('Time signal')</span>
+<span class="c1"># plt.legend()</span>
+
+<span class="c1"># plt.subplot(212)</span>
+<span class="c1"># YOUR_CODE_HERE</span>
+<span class="c1"># plt.loglog()</span>
+<span class="c1"># YOUR_CODE_HERE</span>
+<span class="c1"># plt.grid()</span>
+<span class="c1"># plt.tight_layout()</span>
+<span class="c1"># plt.title('Amplitude spectrum')</span>
+<span class="c1"># plt.legend()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>In addition to the code output above, write your answer in this Markdown cell.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>The effect seen in Task 4 is called <em>aliasing</em>, and the cause is that if your sample rate is too low for the signals you're measuring, you will not capture their oscillation period sufficiently - with at least two samples per cycle. Instead, the signal will appear at a much lower frequency, as you can see in the figure below. Here $f_c = 5$ Hz, and the signal was sampled with $f_c = 7$ Hz, and based on the discrete time samples we incorrectly conclude that there is a frequency component at $2$ Hz (at the end of Chapter 4).</p>
+<img alt="No description has been provided for this image" src="https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/NewSlide38.png" style="margin:auto" width="800/"/>
+<img alt="No description has been provided for this image" src="https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/NewSlide51.png" style="margin:auto" width="800/"/>
+<p>So, how fast do we need to sample to capture an $80$ Hz signal?</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;">
+<p>
+<b>Task 5:</b>
+<p>Repeat Task 4 with different sample rates: $110, 150, 160,$ and $200$ Hz. Plot the signal and amplitude spectrum for each one (you might want to use a loop).</p>
+<p>Then answer the following questions:</p>
+<ol>
+<li>At what frequency does the (aliased) 80 Hz signal appear in the spectrum, for the above values of $f_s$ (provide numerical answers)?</li>
+<li>Can you figure out the relationship (a simple equation) between the sample rate and the frequency of the original signal, and the frequency at which the alias appears?</li>
+</ol>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">YOUR_CODE_HERE</span>
+
+<span class="c1"># Write your own code or use the template below to create your figure(s)</span>
+
+<span class="c1"># for YOUR_CODE_HERE:</span>
+
+<span class="c1"># YOUR_CODE_HERE</span>
+
+<span class="c1"># plt.figure(figsize=(12,6))</span>
+<span class="c1"># plt.suptitle(f'$f_s = {YOUR_CODE_HERE}$ Hz')</span>
+<span class="c1"># plt.subplot(211)</span>
+<span class="c1"># YOUR_CODE_HERE</span>
+<span class="c1"># plt.grid()</span>
+<span class="c1"># plt.legend()</span>
+
+<span class="c1"># plt.subplot(212)</span>
+<span class="c1"># YOUR_CODE_HERE</span>
+<span class="c1"># plt.loglog()</span>
+<span class="c1"># plt.grid()</span>
+<span class="c1"># plt.tight_layout()</span>
+<span class="c1"># plt.legend()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>In addition to the code output above, write your answer in this Markdown cell.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p>As you probably figured out, the sample rate needs to be faster than twice the largest frequency in the signal. In other words, you can measure signals with a frequency up to half the sample rate without aliasing becoming a problem. The frequency above which aliasing occurs (half the sampling rate) is called the <em>Nyquist frequency</em> (Chapter 4).</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Damped-vibrations">Damped vibrations<a class="anchor-link" href="#Damped-vibrations">¶</a></h3><p>We now know how to create an amplitude/magnitude spectrum. We've seen that we get aliasing if our signal has components at frequencies higher than the <em>Nyquist frequency</em> (and leakage if the measurement time is too short). Now, let's consider the damped vibration aceleration signal that an accelerometer would measure (see <em>Appendix A</em>). In this case the damping ratio is not equal to zero, unlike in Tasks 1 to 5.</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;">
+<p>
+<b>Task 6:</b>
+<ul>
+<li>Create a time-array starting at $t=0$ s, ending at $t = 50$ s, with a sampling rate of $100$ Hz.</li>
+<li>Create a damped harmonic acceleration signal $x(t) = \frac{x(0)}{\sqrt{1-\zeta^2}} e^{-\zeta \omega_0 t} \sin(\omega_d t)$ with $\zeta = 0.05$, $\omega_0 = 10 \pi$ rad/s (corresponding to $5$ Hz), $\omega_d = \omega_0 \sqrt{1-\zeta^2} = 9.987 \pi$ rad/s, and initial displacement $x(0)=1$ (for convenience the initial phase of the signal is kept to zero).</li>
+<li>Create a plot of the signal against time, and of the amplitude spectrum as in the previous Tasks.</li>
+</ul>
+<p>Then answer the following questions:</p>
+<ol>
+<li>Do you see any changes in the time plot, compared to the earlier plot? Describe them!</li>
+<li>What is the dominant frequency of the signal now?</li>
+</ol>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">YOUR_CODE_HERE</span>
+
+<span class="c1"># # Write your own code or use the template below to create your figure(s)</span>
+
+<span class="c1"># plt.figure(figsize=(12,6))</span>
+<span class="c1"># plt.subplot(211)</span>
+<span class="c1"># YOUR_CODE_HERE</span>
+<span class="c1"># plt.grid()</span>
+<span class="c1"># plt.legend()</span>
+
+<span class="c1"># plt.subplot(212)</span>
+<span class="c1"># YOUR_CODE_HERE</span>
+<span class="c1"># plt.loglog()</span>
+<span class="c1"># YOUR_CODE_HERE</span>
+<span class="c1"># plt.grid()</span>
+<span class="c1"># plt.tight_layout()</span>
+<span class="c1"># plt.legend()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>In addition to the code output above, write your answer in this Markdown cell.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Cantilever-beam-acceleration-measurements">Cantilever-beam acceleration measurements<a class="anchor-link" href="#Cantilever-beam-acceleration-measurements">¶</a></h3><p>Now you're ready to start analyzing the cantilever-beam acceleration measurements.</p>
+<p>Read in the data-file: <em>cantileverbeam_acc50Hz.csv</em>.</p>
+<p>This dataset contains 5 minutes of measurements with a sampling rate of $50$ Hz (a total of $N=15001$ samples). The first column in the file contains the UTC time of day (in seconds), the second column contains the measured acceleration (in m/s<sup>2</sup>).</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h3 id="Detrending">Detrending<a class="anchor-link" href="#Detrending">¶</a></h3><p>In this project the signal of interest is the damped, harmonic motion of the cantilever-beam. In addition the measurements may contain (unwanted) effects of the sensor (think of an offset, due to imperfect manufacturing and/or prior calibration, or a drift over time, for instance due to temperature changes in the electronics during the experiment). By detrending we mean to remove such effects, prior to our spectral analysis, so that we can start with a nice, zero mean signal. A-priori detrending is good practice and generally yields a cleaner spectrum. Next week (week 2.4 on Time Series Analysis) we cover the subject of removing unwanted effects from the signal in more detail, as to obtain a so-called <strong>stationary</strong> signal, meaning that the properties or characteristics of the signal (such as the mean) do not change over time, and, we provide practical means to “stationarize†a given or measured signal.</p>
+<p>There are built-in functions in Python to remove such an offset and/or trend (and you're free to use them). But, earlier in the MUDE, in week 1.3, you learned about least-squares parameter estimation, and that's what you can apply to do the detrending (and actually built-in functions just apply the very same principle). Next week, on Time Series Analysis, you will actually be covering (again) the estimation of a trend in a time series of measurements.
+As a re-cap for week 1.3: when a series of observations $y_1, …, y_m$ (in our case with $m=N$) is supposed or expected to exhibit a functional linear trend (a straight line in terms of a graph), this can be modelled as</p>
+$$
+\mathbb{E} = \begin{pmatrix} \begin{bmatrix} Y_{1} \\ Y_{2} \\ \vdots \\ Y_{m} \end{bmatrix} \end{pmatrix}
+ =
+ \begin{bmatrix} 1 & t_1 - t_1 \\ 1 & t_2 - t_1 \\ \vdots & \vdots \\ 1 & t_m - t_1 \end{bmatrix}
+ \begin{pmatrix} x_{1} \\ x_{2} \end{pmatrix}
+$$<p>with $x_1$ the offset at time $t_1$ (rather than $t=0$), and $x_2$ the slope of the line. The two unknown parameters in this vector $x$ can be estimated through (unweighted) least-squares, $\hat{x}=(A^T A)^{-1} A^T y$, and next the residuals are obtained as $\hat{\epsilon}=y-\hat{y}=y-A\hat{x}$. The residuals are the 'left-over part' of the observations, once the (estimated) trend has been taken out; these residuals are of interest for further spectral analysis!</p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;">
+<p>
+<b>Task 7:</b>
+<ul>
+<li>For the cantilever-beam acceleration measurements, perform a least-squares estimation according to the above model, and report the estimated offset and slope of the trend.</li>
+<li>The detrended acceleration measurements, hence the elements of vector $\hat{\epsilon}$ are the input to your spectral analysis, so from here on, we denote them by $x(t)$ (in continuous time), and by $x_n$ (in discrete time) with $n=0,…,N-1$.</li>
+<li>Make a plot of the input signal as a function of time, hence of the detrended accelerations.</li>
+</ul>
+<p>Report the estimated offset and slope of the trend (i.e. numerical values).</p>
+
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'cantileverbeam_acc50Hz.csv'</span><span class="p">,</span> <span class="n">header</span><span class="o">=</span><span class="mi">0</span><span class="p">)</span>
+
+<span class="n">t</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s1">'time'</span><span class="p">])</span> <span class="c1">#</span>
+<span class="n">dat</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">df</span><span class="p">[</span><span class="s1">'acceleration'</span><span class="p">])</span> <span class="c1">#</span>
+
+<span class="n">N</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">t</span><span class="p">)</span>
+
+<span class="n">plt</span><span class="o">.</span><span class="n">figure</span><span class="p">()</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">t</span><span class="p">,</span> <span class="n">dat</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'acceleration signal'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'time [s]'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'acceleration [m/s2]'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Vertical cantilever beam acceleration'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+
+<span class="c1"># observation record length (as N*dt, according to sample-and-hold convention)</span>
+<span class="n">T</span> <span class="o">=</span> <span class="p">(</span><span class="n">t</span><span class="p">[</span><span class="n">N</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">t</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span><span class="o">*</span><span class="n">N</span><span class="o">/</span><span class="p">(</span><span class="n">N</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
+<span class="n">dt</span> <span class="o">=</span> <span class="n">T</span><span class="o">/</span><span class="n">N</span>
+
+<span class="n">YOUR_CODE_HERE</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>In addition to the code output above, write your answer in this Markdown cell.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;">
+<p>
+<b>Task 8:</b>
+<p>Previously, in Task 3, you computed and plotted the magnitude spectrum $|X_k|$ of a signal for positive frequencies $f>0$ (putting a lot of attention to correctly labelling the horizontal frequency axis of the plot!), and now, with the material of Chapter 6 on spectral estimation, you will estimate the power spectral density $S$ of the signal through the periodogram, which is just: $S(k\Delta f)=\frac{|X_k|^2}{T}$ (in [W/Hz] when $x_n$ is a voltage signal; and $|X_k|$ being the result straight from the <code>np.fft</code>, multiplied by sampling interval $\Delta t$), for frequency $k\Delta f$, with frequency resolution $\Delta f=\frac{1}{T}$, and $k=0,…,N-1$ (hence, pretty much the same procedure as with the magnitude spectrum, though just taking the square of the modulus, and dividing by $T$).</p>
+<p>Compute and plot the periodogram for the detrended accelerometer measurements of Task 7 (if you prefer, feel free to use a linear scaling of the axes here, rather a log-log, and, use $T$ as defined already in the code of Task 7). Please, pay attention to correctly labelling the axes, and stating dimensions of the quantities along the axes!</p>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">YOUR_CODE_HERE</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;">
+<p>
+<b>Task 9:</b>
+<p>Answer the following questions:</p>
+<ol>
+<li>Report the damped natural frequency (in Hertz) of this one-degree-of-freedom (1DOF) mechanical system. Does it match the motion of the beam shown in the cantilever-beam video?</li>
+<li>The acceleration was measured at quite a high sample rate of $50$ Hz. What is the minimum sampling frequency to correctly identify the damped natural frequency in the periodogram?</li>
+</ol>
+<p>
+</p></p></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Write your answer(s) in this Markdown cell.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h2 id="Task-10:-Global-Mean-Sea-Level-(GMSL)-data-(optional)">Task 10: Global Mean Sea-Level (GMSL) data (optional)<a class="anchor-link" href="#Task-10:-Global-Mean-Sea-Level-(GMSL)-data-(optional)">¶</a></h2><p>Repeat the steps with Tasks 7-9, but now with the Global Mean Sea Level data set. Data is from the Australia's National Science Agency (CSIRO): <a href="https://www.cmar.csiro.au/sealevel/sl_hist_last_decades.html">GMSL data</a>.</p>
+<p>These data result from nearly 3 decades of satellite altimetry (with satellite missions such as TOPEX/Poseidon and the Jason-series). The first column contains the time tag or epoch (in decimal years), the second column is the global mean sea level (in mm). There is one measurement per month (monthly average, so that for instance tide-effects are averaged out, and the measurement typically refers to the middle of the month, hence 1993.042 is mid January in 1993). The single monthly measurement is the global mean sea level, so, the average of the entire world.</p>
+<p>The sampling frequency $f_s = 12$ per year ($\Delta t = 1/12 \sim 0.083$ year), and there are $N=331$ measurements in total.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">data</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">read_csv</span><span class="p">(</span><span class="s1">'CSIRO_Alt_seas_inc.txt'</span><span class="p">,</span> <span class="n">names</span><span class="o">=</span><span class="p">[</span><span class="s1">'month'</span><span class="p">,</span> <span class="s1">'sl'</span><span class="p">])</span>
+<span class="n">data</span><span class="o">.</span><span class="n">head</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="c1"># create time-array, time relative to t0 [yr] (epoch-time of the first observation;</span>
+<span class="c1"># t0=1993.042 refers to mid January 1993)</span>
+<span class="n">t</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span> <span class="mi">0</span><span class="p">]</span> <span class="o">-</span> <span class="n">data</span><span class="o">.</span><span class="n">iloc</span><span class="p">[</span><span class="mi">0</span><span class="p">,</span> <span class="mi">0</span><span class="p">]</span>
+
+<span class="c1"># number of observations</span>
+<span class="n">N</span> <span class="o">=</span> <span class="nb">len</span><span class="p">(</span><span class="n">t</span><span class="p">)</span>
+
+<span class="c1"># observation record length (as N * dt, according to sample-and-hold convention)</span>
+<span class="n">T</span> <span class="o">=</span> <span class="p">(</span><span class="n">t</span><span class="p">[</span><span class="n">N</span> <span class="o">-</span> <span class="mi">1</span><span class="p">]</span> <span class="o">-</span> <span class="n">t</span><span class="p">[</span><span class="mi">0</span><span class="p">])</span> <span class="o">*</span> <span class="n">N</span> <span class="o">/</span> <span class="p">(</span><span class="n">N</span> <span class="o">-</span> <span class="mi">1</span><span class="p">)</span>
+
+<span class="c1"># Delta t [yr]; dt = T/N = (N*dt)/N</span>
+<span class="n">dt</span> <span class="o">=</span> <span class="n">T</span> <span class="o">/</span> <span class="n">N</span>
+
+<span class="c1"># observed sea-level height</span>
+<span class="n">y</span> <span class="o">=</span> <span class="n">data</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">1</span><span class="p">]</span>
+
+<span class="c1"># plot observed time-series, as it is, versus epoch-time in [year]</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">data</span><span class="o">.</span><span class="n">iloc</span><span class="p">[:,</span><span class="mi">0</span><span class="p">],</span><span class="n">y</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'b'</span><span class="p">,</span> <span class="n">label</span><span class="o">=</span><span class="s1">'sea level'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">xlabel</span><span class="p">(</span><span class="s1">'time [yr]'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">ylabel</span><span class="p">(</span><span class="s1">'sea-level height [mm]'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">title</span><span class="p">(</span><span class="s1">'Global Mean Sea-Level (GMSL) rise'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">legend</span><span class="p">();</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;">
+<p>
+<b>Task 10 (Optional!):</b>
+<p>Detrend the data.</p>
+<p>Estimate and plot power spectral density (PSD), hence the periodogram, for the (detrended) global mean sea-level data.</p>
+<p>Identify the largest peak in the spectrum, what is the frequency, and can you come up with a physical explanation of this behaviour?</p>
+
+</p>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell jp-Notebook-cell jp-mod-noOutputs">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea">
+<div class="jp-InputPrompt jp-InputArea-prompt">In [ ]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
+<div class="cm-editor cm-s-jupyter">
+<div class="highlight hl-ipython3"><pre><span></span><span class="n">YOUR_CODE_HERE</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>Write your answer(s) in this Markdown cell.</strong></p>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;">
+<p>
+<b>End of task.</b>
+</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<div style="background-color:#C8FFFF; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%">
+<p>
+<b>Appendix A: Cantilever-beam dynamics:</b>
+<p>The dynamics of the smartphone suspended on a cantilever beam can be considered as the mass-spring-damper system shown below:</p>
+<img alt="No description has been provided for this image" src="https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/mass_spring_damper.png" style="margin:auto" width="200/"/>
+<p>The equation of motion of the deflection $x$ of this mass-spring-damper system (a damped harmonic oscillator) can be described by the following second order differential equation:</p>
+$$
+\ddot{x}(t) + \frac{c}{m} \dot{x}(t) + \frac{k}{m} x(t) =0
+$$<p>Where $\ddot{x}(t)$, $\dot{x}(t)$ and $x(t)$ are the acceleration, velocity and displacement as a function of time of the oscillating mass $m$ [kg] respectively. (with a unit transfer function, $x(t)$ describes the motion of the proof mass inside the smartphone accelerometer). For simplicity, we consider here the homogeneous equation, corresponding to free motion. The other parameters are the damping coefficient $c$ [kg/s] and spring constant $k$ [N/m]. The damping ratio can be obtained from the system parameters: $\zeta = \frac{c}{2 \sqrt{mk}}$, which is dimensionless. The undamped natural frequency is $\omega_0 = \sqrt{\frac{k}{m}}$ [rad/s]. The differential equation becomes:</p>
+$$
+\ddot{x}(t) + 2 \zeta \omega_0 \dot{x}(t) + \omega_0^2 x(t) =0
+$$<p>For the under-damped case ($0 \le \zeta \le 1)$ of our smartphone and assuming an initial zero tip velocity $\dot{x}(t=0)=0$ (release from stand-still), the solution for the position as a function of time is given by:</p>
+$$
+x(t)=e^{-\zeta \omega_0 t} \frac{x(0)}{\sqrt{1-\zeta^2}}\sin(\omega_d t + \varphi)
+$$<p>Where $x(0)$ is the initial position $x(t=0)$, $\omega_d$ is the damped natural frequency $\omega_d = \omega_0 \sqrt{1-\zeta^2}$, and the phase shift $\varphi = \arctan \left( \frac{\sqrt{1-\zeta^2}}{\zeta} \right)$. The sinusoid term represents the harmonic motion, and the exponential term represents the damping of that motion over time. Next, the velocity of the smartphone's oscillation can be derived as:</p>
+<p>$\dot{x}(t) = e^{-\zeta \omega_0 t} \frac{x(0)}{\sqrt{1-\zeta^2}}\sin(\omega_d t)$.</p>
+<p>The acceleration of the smartphone (which is what is being measured) is found as:</p>
+<p>$\ddot{x}(t) = e^{-\zeta \omega_0 t} \frac{x(0)}{\sqrt{1-\zeta^2}} \sin (\omega_d t - \phi)$.</p>
+<p>Note that $\omega_0$ and $\omega_d$ are the angular frequencies expressed in radians per second. $\ddot{x}(t)$ is a damped harmonic signal where the rate of damping is determined by the damping ratio $\zeta$.</p>
+<p>In order to get a pure harmonic signal (as used in Tasks 1 to 5), set the damping ratio $\zeta=0$, and optionally set the phase-shift $\phi$ to zero as well, then the tip acceleration is given by the following simple sinusoidal expression:</p>
+$$
+\ddot{x}(t)=x(0) \sin(\omega_0 t).
+$$</p>
+</div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<p><strong>End of notebook.</strong></p>
+<h2 style="height: 60px">
+</h2>
+<h3 style="position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; bottom: 60px; right: 50px; margin: 0; border: 0">
+<style>
+ .markdown {width:100%; position: relative}
+ article { position: relative }
+ </style>
+<a href="http://creativecommons.org/licenses/by/4.0/" rel="license">
+<img alt="Creative Commons License" src="https://i.creativecommons.org/l/by/4.0/88x31.png" style="border-width:; width:88px; height:auto; padding-top:10px">
+</img></a>
+<a href="https://www.tudelft.nl/en/ceg" rel="TU Delft">
+<img alt="TU Delft" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/tu-logo/TU_P1_full-color.png" style="border-width:0; width:100px; height:auto; padding-bottom:0px">
+</img></a>
+<a href="http://mude.citg.tudelft.nl/" rel="MUDE">
+<img alt="MUDE" src="https://gitlab.tudelft.nl/mude/public/-/raw/main/mude-logo/MUDE_Logo-small.png" style="border-width:0; width:100px; height:auto; padding-bottom:0px">
+</img></a>
+</h3>
+<span style="font-size: 75%">
+© Copyright 2024 <a href="http://mude.citg.tudelft.nl/" rel="MUDE">MUDE</a> TU Delft. This work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" rel="license">CC BY 4.0 License</a>.
+
+</span></div>
+</div>
+</div>
+</div>
+</main>
+</body>
+<script type="application/vnd.jupyter.widget-state+json">
+{"state": {}, "version_major": 2, "version_minor": 0}
+</script>
+</html>
diff --git a/src/students/GA_2_3/Analysis.ipynb b/src/students/GA_2_3/Analysis.ipynb
deleted file mode 100644
index 647c9ed4a717419a8ebc582500dddb5e19bc02cc..0000000000000000000000000000000000000000
--- a/src/students/GA_2_3/Analysis.ipynb
+++ /dev/null
@@ -1,899 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# GA 2.3: Beam Beats\n",
- "\n",
- "<h1 style=\"position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; top: 60px;right: 30px; margin: 0; border: 0\">\n",
- " <style>\n",
- " .markdown {width:100%; position: relative}\n",
- " article { position: relative }\n",
- " </style>\n",
- " <img src=\"https://gitlab.tudelft.nl/mude/public/-/raw/main/tu-logo/TU_P1_full-color.png\" style=\"width:100px\"\\>\n",
- " <img src=\"https://gitlab.tudelft.nl/mude/public/-/raw/main/mude-logo/MUDE_Logo-small.png\" style=\"width:100px\"\\>\n",
- "</h1>\n",
- "<h2 style=\"height: 10px\">\n",
- "</h2>\n",
- "\n",
- "*[CEGM1000 MUDE](http://mude.citg.tudelft.nl/): week 2.3. Due: Friday, November 29, 2024.*"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Analyzing cantilever-beam accelerations and global Mean Sea-Level measurements\n",
- "\n",
- "This project covers the week on Signal Processing (week 2.3).\n",
- "\n",
- "As a warming up you will create and analyze some elementary signals yourself, and next, you will carry out frequency domain analyses on two given data-sets, namely acceleration measurements of a Cantilever-Beam experiment, and (in optional Task 10) Global Mean Sea-Level measurements.\n",
- "\n",
- "Most of the Tasks in this notebook consist of both coding, producing a plot, and answering (open) questions. Typically, as you work your way through the Tasks, you can often re-use code, or part of it, from earlier Tasks and assignments. That will save you a lot of work!!"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "0491cc69"
- },
- "source": [
- "<div style=\"background-color:#facb8e; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\"> <p>In many of the code blocks below, template code to create figures is provided. Note that there is a lot of code missing, and one line of <code>YOUR_CODE_HERE</code> does not imply that only one line of code is missing!</p></div>"
- ]
- },
- {
- "attachments": {
- "verticalcantileverbeam.png": {
- "image/png": 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IBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYu68871yOIGeEoz7tX/7riWj6Ftnwebfk82vJ5tOXzaMvnsU3LRebfAIt+pFUH3+/odQ/8sOan9eo/X2TVwfc7et0DP6yP6Vl9+I+XWXXw/Y5e98CP6tWntei9ZtXB9zt63QM/rNfpWS1Muebg+x297oEf1vyxsehprTr4fkeve+CHNT+tfuuJ58fGx6Knterg+x297oEf1fwNYNGXuVUH3+/odQ/8sPqt52nMHxuLntaqg+939LoHfljz01r0sbHq4Psdve6BH9b8sbHoaa06uN96rqvfep5Gv/U8jfljY9HTWnXw/Y5e98APa35aiz42Vh18v6PXPfDDmj82Fj2tVQf3W8+VzU/Lf7zMqoPvd/S6B35U/dbzNOaPjUVPa9XB9zt63QM/rKZ8GvPTWvQNYNXB9zt63QM/rH7reRb91vM0mvJpzB8bi57WqoPvd/S6B35Y89Pqt5548zeARU9r1cH3O3rdAz+q/mXl0+i3nqcxf2wselqrDr7f0ese+GHNT2vRx8aqg+939LoHfljzx8aip7Xq4H7rua5+63ka/dbzNOaPjUVPa9XB9zt63QM/rPlpLfrYWHXw/Y5e98APa/7YWPS0Vh3cbz3X1W89T6Pfep7G/LGx6GmtOvh+R6974Ic1P61FHxurDr7f0ese+GH5tJZ9A1h18P2OXvfAD2vVN4B1Xx/udnS/9Rzpt56H4u/QZU9r1cH3O3rdAz+u6ffowqe16uD7Hb3ugR/Y+MQWfwNYdfD9jl73wA/sfc03gFUH3+/odQ9ctaU/f/4PDvMXtjrnOloAAAAASUVORK5CYII="
- }
- },
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Data Acquisition System\n",
- "\n",
- "A data acquisition (DAQ) system usually consists of four components:\n",
- "\n",
- "<img src=\"https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/DAQ.png\" style=\"margin:auto\"/>\n",
- "\n",
- "\n",
- "- A sensor transforms a physical signal into a small voltage. The transformation is often frequency dependent or nonlinear, and can show drift or bias.\n",
- "- Signal conditioning electronics (often included in the sensor housing) filter unwanted frequencies, such as the 50 Hz line frequency caused by power plant generators, using low-pass or notch filters. In addition the sensor voltage may be amplified.\n",
- "- An analog-to-digital (A/D) converter samples the analog voltage with a certain rate, such as 100 Hz. The A/D converter can measure analog voltages within a certain range, the measurement range. The measured voltage is quantized with a certain resolution, such as 14-bit, which means that the full measurement range is divided into $2^{14}=16,384$ discrete intervals. Together, the resolution and measurement range determine the precision. Usually the sample rate, the measurement range, and the sample resolution are configurable. Sampling and quantizing together turns an analog signal into a digital signal.\n",
- "- A digital computer reads the sampled data from the A/D converter at specific times, and allows for further processing, analysis and storage of the (digital) signal.\n",
- "\n",
- "The result is that an analog, physical signal, is turned into a series of numbers (samples of the signal, in the time domain), ready for processing and analysis in a digital computer.\n",
- "\n",
- "\n",
- "\n",
- "One of the data sets that you will analyze during this MUDE Q2 project was acquired by an accelerometer in a smartphone, on top of a vertical cantilever-beam. The accelerometer measures the side-ward accelerations, expressed in m/s<sup>2</sup>, and sampled at 50 Hz. Detailed information about the experiment and the sensor can be found in \"Experimental evaluation of smartphone accelerometer and low-cost dual frequency GNSS sensors for deformation monitoring\", by Alexandru Lapadat, Christian Tiberius and Peter Teunissen, Sensors 2021, 21, 7946, https://doi.org/10.3390/s21237946.\n",
- "\n",
- "A quick impression of the test setup can be gained by watching the short video [Cantilever Beam Experiment](https://youtu.be/o4moRwvlBLU?si=aKelBMWm3HB2Of26) (1 minute).\n",
- "\n",
- "A theoretical description of the motion of the smartphone accelerometer fixed to the cantilever beam is presented in Appendix A. Pulling the beam at the tip and releasing it, results in a (nearly) horizontal side-ward motion of the smartphone, and the (horizontal) position can be described by a *damped harmonic* as a function of time. Consequently, also the first and second derivative with respect to time, the velocity and acceleration as a function of time as the smartphone will measure it, are harmonics.\n",
- "\n",
- "### Basic sinusoid signal\n",
- "\n",
- "You will start with first creating (and analyzing) a few simple signals yourself. In the first few Tasks of this project, we will take the damping ratio zero and use a fairly short measurement time (duration), and hence the acceleration measured by the smartphone is a plain (undamped) sinusoid as shown in Appendix A (a stationary signal). In the following Tasks we also add a phase offset $\\varphi$ to the plain sinusoid:\n",
- "\n",
- "$$\n",
- "x(t) = A \\sin(2 \\pi f_c t + \\varphi)\n",
- "$$\n",
- "\n",
- "The result is taken from the last equation in Appendix A. We consider here acceleration, though for convenience, we omit the dots on top of the $x(t)$."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "import pandas as pd\n",
- "import matplotlib.pyplot as plt\n",
- "\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 1:</b>\n",
- "\n",
- "- Create a time-array starting at $t=0$ s, ending at $t=5.0$ s, with a sampling rate of 100 Hz. Hint: what is the number of samples $N$? And what should then be the last value in the time-array? Note that, for example, with $N=10$ samples at a sampling rate of $f_s = 100$ Hz, we have signal samples at times $t=0.00, 0.01, 0.02, ... , 0.08, 0.09$ seconds, hence $T_{meas}= N \\Delta t =0.1$ seconds (the sample-and-hold convention).\n",
- "- Create a sinusoidal signal $x(t) = A \\sin(2 \\pi f_c t + \\varphi)$, with amplitude $A=1.0$ Volt, carrier frequency $f_c=1.0$ Hz, and initial phase $\\varphi = 5$ degrees, to be converted into radians.\n",
- "- Make a plot of the signal against time. Note that this is strictly a *sampled signal* $x_n$ rather than $x(t)$, but since we use a rather high sampling rate, the signal shown is close to continuous in time. Connecting the sample points of $x_n$ in the graph by lines, as done in the graph below, corroborates the suggestion of a continuous-time signal. Be aware!\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "0491cc69"
- },
- "source": [
- "<div style=\"background-color:#facb8e; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\"> <p>We will give you the answers in this code cell for free!</p></div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "T_meas = 5\n",
- "f_s = 100 #sampling rate [Hz]\n",
- "\n",
- "t_vec = np.arange(0, T_meas, 1 / f_s) # ends at 4.99, length 500 according to the sample-and-hold convention\n",
- "\n",
- "A = 1 \n",
- "f_c = 1 \n",
- "phi = 5 * np.pi / 180\n",
- "x = A * np.sin(2 * np.pi * f_c * t_vec + phi)\n",
- "\n",
- "plt.plot(t_vec, x, color='b', label='signal')\n",
- "plt.xlabel(r'$t \\: [s]$')\n",
- "plt.ylabel(r'$x(t) \\: [V]$')\n",
- "plt.legend(loc='upper right')\n",
- "plt.title(fr'Sinusoidal signal with $A$={A} V, $f_c$={f_c} Hz and initial phase $\\phi$={phi:.3f} °')\n",
- "plt.grid()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### The Discrete Fourier Transform (chapter 5)\n",
- "\n",
- "To discover which frequencies are contained in the signal $x(t)$, we can transform it from the time domain to the frequency domain using the Fourier transform:\n",
- "\n",
- "$$\n",
- "X(f) = \\int_{-\\infty}^{\\infty} x(t) e^{-j 2\\pi f t} dt\n",
- "$$\n",
- "\n",
- "Which can then be expressed in terms of magnitude and phase:\n",
- "\n",
- "$$\n",
- "X(f) = |X(f)|e^{j\\theta(f)}\n",
- "$$\n",
- "\n",
- "Where $|X(f)|$ plotted against frequency $f$ is called the *magnitude spectrum* (and practically often referred to as amplitude spectrum).\n",
- "\n",
- "The set and number of sinusoids required to approximate or re-create a given signal $x(t)$ depends on the shape of that signal. Of course, when the signal is a pure sinusoid, we only need one term. For an example, consider a 2 Hz sinusoidal signal and its magnitude spectrum below (the magnitude spectrum is expressed in [Vs], which equals [V/Hz], hence a magnitude or amplitude density).\n",
- "\n",
- "<img src=\"https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/SignalSpectrumExample.png\" style=\"margin:auto\" width=800/>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "You can see a sharp spike in the magnitude plot (which has two logarithmic axes, and we only plot the spectrum for positive frequencies $f>0$). A continuous time sinusoid with amplitude $A$ will produce a magnitude of $\\frac{A T_{meas}}{2}$ in the amplitude spectrum (with $T_{meas}$ the *measurement time* or duration), rather than $\\frac{A}{2}$ which you would expect (in a double-sided spectrum). This is because of the limited time duration of the input signal, which actually implies multiplication of $x(t)$ by a *rectangular time window* $w(t)=\\Pi(\\frac{t}{T_{meas}})$. Since the sinusoid has an amplitude of $A=1$ V, and was measured for $T_{meas}=5$ seconds, the magnitude becomes 2.5. The magnitude at all other frequencies is very small, approximately $10^{-15}$, or approximately zero.\n",
- "\n",
- "The Fourier transform is a continuous-time operation, mapping the continuous time-domain to the continuous frequency domain. Usually, we don't have continuous-time signals, but discrete time signals $x_n$ sampled at a certain sampling rate. The discrete Fourier Transform (DFT) is the discrete-time equivalent of the continuous time-Fourier transform:\n",
- "\n",
- "$$\n",
- "X_k = \\sum_{n=0}^{N-1}x_ne^{-j2\\pi kn/N}, k=0,1,...,N-1\n",
- "$$\n",
- "\n",
- "Where $X_k$ is the sequence of frequency domain samples. NumPy contains a function to perform the DFT using a fast numerical algorithm, the Fast Fourier Transform:\n",
- "\n",
- "<code>X_discr = np.fft.fft(x)</code>\n",
- "\n",
- "For more information on the function see [here](https://numpy.org/doc/stable/reference/generated/numpy.fft.fft.html).\n",
- "\n",
- "The discrete-time signal $x_n$ and the frequency domain samples $X_k$ returned by Python are of equal length ($N$ samples in, $N$ samples out). When you compare the equations of the DFT with the continuous Fourier Transform, you will see that in the continuous equation we integrate over time $t$, while in the DFT *no information* about the time or sample rate is required (there is no $\\Delta t$ in the above equation for $X_k$, as noted at the end of Chapter 5). This results in a *scale factor* in the spectrum when the DFT of signals with different sample rates are compared. To solve this, we have to multiply the DFT as calculated by NumPy by the sample time interval $\\Delta t = 1/f_s$ to restore the time dimension and obtain a *discrete approximation of the continuous Fourier Transform*. To account for the measurement duration as described above, we have to divide by $T_{meas} = N \\Delta t$. So, in total, multiply by $\\Delta t$ and divide by $T_{meas}$, hence, we have to divide the NumPy result by the number of samples $N$:\n",
- "\n",
- "<code>X_cont = np.fft.fft(x) / N</code>\n",
- "\n",
- "The DFT only contains information (the complex value of $X_k$) at discrete frequencies, known as the *analysis frequencies*, which are integer multiples of the frequency resolution $f_0$. If we have a sampled signal $x_n$ consisting of $N$ samples, sampled at $f_s$ Hz with $f_s=1/ \\Delta t$, the frequency resolution is:\n",
- "\n",
- "$$\n",
- "f_0 = \\frac{1}{T_{meas}} = \\frac{1}{N \\Delta t} = \\frac{f_s}{N}\n",
- "$$\n",
- "\n",
- "The first value of the complex vector $X_n$ returned by NumPy is the mean of the time-domain signal corresponding to $f=0$ Hz. So, the frequency vector corresponding to the discrete Fourier transform starts at zero and has $N$ elements, the analysis frequencies:\n",
- "\n",
- "<code>f_vec = np.arange(0, f_s, f_0)</code>\n",
- "\n",
- "With task 2 you visualize the entire output as you get it from the `np.fft.fft`, hence for frequencies $[0,f_s)$. From Chapter 4 you know that the spectrum of a sampled signal repeats every integer multiple of $f_s$ (copies of the spectrum)."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 2:</b> \n",
- "\n",
- "- Calculate the Fast Fourier Transform of the signal you generated in Task 1. Remember: the signal has 500 samples and thus does *not* end at exactly 5 second.\n",
- "- Create the frequency vector $f$ with the analysis frequencies.\n",
- "- Plot the modulus of the Fourier Transform against the frequency $f$ using a log scale on both axes. Use plot markers to see at which frequencies the Fourier transform was calculated.\n",
- "\n",
- "On top of that, answer to the following questions:\n",
- "<ol>\n",
- " <li>Describe the amplitude spectrum.</li>\n",
- " <li>What is the magnitude of $X(f)$ at $f$ = 1 Hz?</li>\n",
- " <li>Do you notice anything peculiar about the amplitude spectrum?</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE\n",
- "\n",
- "# Write your own code or use the template below to create your figure(s)\n",
- "\n",
- "# f, axes = plt.subplots(1,1,figsize=(10,5))\n",
- "\n",
- "# axes[0].plot(YOUR_CODE_HERE, YOUR_CODE_HERE, 'x', color='b', label='Fourier transform')\n",
- "# axes[0].loglog()\n",
- "# axes[0].set_xlabel('$f \\: \\: [Hz]$')\n",
- "# axes[0].set_ylabel('$|X(f)| \\: [V]$')\n",
- "# axes[0].grid()\n",
- "# axes[0].set_title('Log/Log')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Symmetry\n",
- "\n",
- "\n",
- "Due to symmetry properties of the DFT, the following holds for a real signal $x(t)$:\n",
- "\n",
- "$$\n",
- "|X_k| = |X_{-k}|\n",
- "$$\n",
- "\n",
- "Which means that the modulus of the Fourier coefficients is symmetric about $f=0$. The NumPy <code>fft</code> command appends the Fourier coefficients for $k<0$ to the right side of the Fourier coefficients for $k \\ge 0$. This is called the *two-sided* spectrum.\n",
- "\n",
- "Since we are working with real signals, the symmetry property is valid, and we can just ignore the coefficients for $k<0$. This means that we consider the following range in the frequency domain:\n",
- "\n",
- "$[0, \\frac{f_s}{2}]$ for even values of $N$\n",
- "\n",
- "$[0, \\frac{f_s}{2})$ for odd values of $N$\n",
- "\n",
- "In other words, we are only considering frequencies up to half of $f_s$. This is easily implemented in Python using the floor division operator <code>//</code>:\n",
- "\n",
- "<code>X_cont = X_cont[:N//2]</code>\n",
- "\\\n",
- "<code>f_vec = f_vec[:N//2]</code>\n",
- "\n",
- "If you're unfamiliar with this, consider that <code>A//B</code> returns the number of times <code>B</code> 'fits into' <code>A</code>. In principle, this will always return an integer, so it can be easily used for indexing an array. In this specifc example, <code>N//2</code> will return $\\frac{N}{2}$ for even $N$ and $\\frac{N-1}{2}$ for odd N, which is exactly what we want. See the example below."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "N = 100\n",
- "print(f'{N} floor divided by 2: {N//2}')\n",
- "print(f'{N+1} floor divided by 2: {(N+1)//2}')\n",
- "print(f'{N-1} floor divided by 2: {(N-1)//2}')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "\n",
- "<p>\n",
- "<b>Task 3:</b> \n",
- "\n",
- "- Repeat Task 2 with different measurement times $T_{meas}$ for the signal. Use measurement times such that the $f_c$ = 1 Hz oscillation fits *exactly* 1 time, 5 times and 20 times.\n",
- "- Plot the amplitude spectrum for all three measurement times, **only for positive frequencies**, in separate graphs (log-log scale) with the same domains and answer to the following questions:\n",
- "\n",
- "- What is the effect of changing $T_{meas}$ on the frequency range in the amplitude spectrum? Does the highest analysis frequency change?\n",
- "- Does the frequency resolution change?\n",
- "- Does the magnitude of at the peaks change?\n",
- "\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE\n",
- "\n",
- "# Write your own code or use the template below to create your figure(s)\n",
- "\n",
- "plt.figure(figsize=(12,4))\n",
- "for i, T_meas in enumerate(YOUR_CODE_HERE):\n",
- " YOUR_CODE_HERE\n",
- "\n",
- " plt.subplot(1, 3, i+1)\n",
- " \n",
- " YOUR_CODE_HERE\n",
- " \n",
- " plt.grid()\n",
- " plt.tight_layout()\n",
- "plt.legend()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Aliasing (chapter 4)\n",
- "\n",
- "So far we have been analyzing a signal with a fairly low frequency, just $1$ or $2$ Hz. Now suppose, due to some unexpected source, our signal contains a second sinusoid with a much higher frequency. This is often caused by the line frequency ($50$ Hz) due to power plant generators providing the $220$ V current in regular buildings, or by electrical interference. "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "\n",
- "<p>\n",
- "<b>Task 4: with this task we'll make you run into an aliasing problem . . .</b> \n",
- "\n",
- "- Create a time-array starting $t=0$, with a sampling rate of 100 Hz, and ending such that a sinusoid with a frequency of 1 Hz fits exactly 5 times in the measurement time.\n",
- "\n",
- "- Re-create the signal $x(t) = A \\sin(2 \\pi f_c t + \\varphi)$ from the first Task, with amplitude $A=1.0$ V, carrier frequency $f_c=1.0$ Hz, and initial phase $\\varphi = 5$ degrees, to be converted into radians.\n",
- "\n",
- "- Add to this signal a second sinusoid with a frequency of $80$ Hz and amplitude of $0.1$ V (and zero initial phase).\n",
- "\n",
- "- Create a plot of the signal against time, and of the amplitude spectrum as in the previous Tasks. \n",
- "\n",
- "Then answer to the following questions:\n",
- "<ol>\n",
- " <li>What do you see in the frequency plot? Are there peaks? How many? Where?</li>\n",
- " <li>Does this match what you see in the time plot?</li>\n",
- " <li>Does changing the measurement time (duration) help?</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE\n",
- "\n",
- "# Write your own code or use the template below to create your figure(s)\n",
- "\n",
- "# plt.figure(figsize=(12,6))\n",
- "# plt.subplot(211)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.grid()\n",
- "# plt.title('Time signal')\n",
- "# plt.legend()\n",
- "\n",
- "# plt.subplot(212)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.loglog()\n",
- "# YOUR_CODE_HERE\n",
- "# plt.grid()\n",
- "# plt.tight_layout()\n",
- "# plt.title('Amplitude spectrum')\n",
- "# plt.legend()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The effect seen in Task 4 is called *aliasing*, and the cause is that if your sample rate is too low for the signals you're measuring, you will not capture their oscillation period sufficiently - with at least two samples per cycle. Instead, the signal will appear at a much lower frequency, as you can see in the figure below. Here $f_c = 5$ Hz, and the signal was sampled with $f_c = 7$ Hz, and based on the discrete time samples we incorrectly conclude that there is a frequency component at $2$ Hz (at the end of Chapter 4).\n",
- "\n",
- "<img src=\"https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/NewSlide38.png\" style=\"margin:auto\" width=800/>\n",
- "<img src=\"https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/NewSlide51.png\" style=\"margin:auto\" width=800/>\n",
- "\n",
- "So, how fast do we need to sample to capture an $80$ Hz signal?"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 5:</b> \n",
- "\n",
- "Repeat Task 4 with different sample rates: $110, 150, 160,$ and $200$ Hz. Plot the signal and amplitude spectrum for each one (you might want to use a loop). \n",
- "\n",
- "Then answer the following questions:\n",
- "<ol>\n",
- " <li>At what frequency does the (aliased) 80 Hz signal appear in the spectrum, for the above values of $f_s$ (provide numerical answers)?</li>\n",
- " <li>Can you figure out the relationship (a simple equation) between the sample rate and the frequency of the original signal, and the frequency at which the alias appears?</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE\n",
- "\n",
- "# Write your own code or use the template below to create your figure(s)\n",
- "\n",
- "# for YOUR_CODE_HERE:\n",
- " \n",
- "# YOUR_CODE_HERE\n",
- " \n",
- "# plt.figure(figsize=(12,6))\n",
- "# plt.suptitle(f'$f_s = {YOUR_CODE_HERE}$ Hz')\n",
- "# plt.subplot(211)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.grid()\n",
- "# plt.legend()\n",
- " \n",
- "# plt.subplot(212)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.loglog()\n",
- "# plt.grid()\n",
- "# plt.tight_layout()\n",
- "# plt.legend()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "As you probably figured out, the sample rate needs to be faster than twice the largest frequency in the signal. In other words, you can measure signals with a frequency up to half the sample rate without aliasing becoming a problem. The frequency above which aliasing occurs (half the sampling rate) is called the *Nyquist frequency* (Chapter 4)."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Damped vibrations\n",
- "\n",
- "We now know how to create an amplitude/magnitude spectrum. We've seen that we get aliasing if our signal has components at frequencies higher than the *Nyquist frequency* (and leakage if the measurement time is too short). Now, let's consider the damped vibration aceleration signal that an accelerometer would measure (see *Appendix A*). In this case the damping ratio is not equal to zero, unlike in Tasks 1 to 5."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 6:</b> \n",
- "\n",
- "- Create a time-array starting at $t=0$ s, ending at $t = 50$ s, with a sampling rate of $100$ Hz.\n",
- "- Create a damped harmonic acceleration signal $x(t) = \\frac{x(0)}{\\sqrt{1-\\zeta^2}} e^{-\\zeta \\omega_0 t} \\sin(\\omega_d t)$ with $\\zeta = 0.05$, $\\omega_0 = 10 \\pi$ rad/s (corresponding to $5$ Hz), $\\omega_d = \\omega_0 \\sqrt{1-\\zeta^2} = 9.987 \\pi$ rad/s, and initial displacement $x(0)=1$ (for convenience the initial phase of the signal is kept to zero).\n",
- "- Create a plot of the signal against time, and of the amplitude spectrum as in the previous Tasks.\n",
- "\n",
- "Then answer the following questions:\n",
- "<ol>\n",
- " <li>Do you see any changes in the time plot, compared to the earlier plot? Describe them!</li>\n",
- " <li>What is the dominant frequency of the signal now?</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE\n",
- "\n",
- "# # Write your own code or use the template below to create your figure(s)\n",
- "\n",
- "# plt.figure(figsize=(12,6))\n",
- "# plt.subplot(211)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.grid()\n",
- "# plt.legend()\n",
- "\n",
- "# plt.subplot(212)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.loglog()\n",
- "# YOUR_CODE_HERE\n",
- "# plt.grid()\n",
- "# plt.tight_layout()\n",
- "# plt.legend()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Cantilever-beam acceleration measurements\n",
- "\n",
- "Now you're ready to start analyzing the cantilever-beam acceleration measurements.\n",
- "\n",
- "Read in the data-file: *cantileverbeam_acc50Hz.csv*.\n",
- "\n",
- "This dataset contains 5 minutes of measurements with a sampling rate of $50$ Hz (a total of $N=15001$ samples). The first column in the file contains the UTC time of day (in seconds), the second column contains the measured acceleration (in m/s<sup>2</sup>)."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Detrending\n",
- "\n",
- "In this project the signal of interest is the damped, harmonic motion of the cantilever-beam. In addition the measurements may contain (unwanted) effects of the sensor (think of an offset, due to imperfect manufacturing and/or prior calibration, or a drift over time, for instance due to temperature changes in the electronics during the experiment). By detrending we mean to remove such effects, prior to our spectral analysis, so that we can start with a nice, zero mean signal. A-priori detrending is good practice and generally yields a cleaner spectrum. Next week (week 2.4 on Time Series Analysis) we cover the subject of removing unwanted effects from the signal in more detail, as to obtain a so-called **stationary** signal, meaning that the properties or characteristics of the signal (such as the mean) do not change over time, and, we provide practical means to “stationarize†a given or measured signal.\n",
- "\n",
- "There are built-in functions in Python to remove such an offset and/or trend (and you're free to use them). But, earlier in the MUDE, in week 1.3, you learned about least-squares parameter estimation, and that's what you can apply to do the detrending (and actually built-in functions just apply the very same principle). Next week, on Time Series Analysis, you will actually be covering (again) the estimation of a trend in a time series of measurements.\n",
- "As a re-cap for week 1.3: when a series of observations $y_1, …, y_m$ (in our case with $m=N$) is supposed or expected to exhibit a functional linear trend (a straight line in terms of a graph), this can be modelled as\n",
- "\n",
- "$$\n",
- "\\mathbb{E} = \\begin{pmatrix} \\begin{bmatrix} Y_{1} \\\\ Y_{2} \\\\ \\vdots \\\\ Y_{m} \\end{bmatrix} \\end{pmatrix} \n",
- " = \n",
- " \\begin{bmatrix} 1 & t_1 - t_1 \\\\ 1 & t_2 - t_1 \\\\ \\vdots & \\vdots \\\\ 1 & t_m - t_1 \\end{bmatrix} \n",
- " \\begin{pmatrix} x_{1} \\\\ x_{2} \\end{pmatrix}\n",
- "$$\n",
- "\n",
- "with $x_1$ the offset at time $t_1$ (rather than $t=0$), and $x_2$ the slope of the line. The two unknown parameters in this vector $x$ can be estimated through (unweighted) least-squares, $\\hat{x}=(A^T A)^{-1} A^T y$, and next the residuals are obtained as $\\hat{\\epsilon}=y-\\hat{y}=y-A\\hat{x}$. The residuals are the 'left-over part' of the observations, once the (estimated) trend has been taken out; these residuals are of interest for further spectral analysis!"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 7:</b> \n",
- "\n",
- "- For the cantilever-beam acceleration measurements, perform a least-squares estimation according to the above model, and report the estimated offset and slope of the trend.\n",
- "- The detrended acceleration measurements, hence the elements of vector $\\hat{\\epsilon}$ are the input to your spectral analysis, so from here on, we denote them by $x(t)$ (in continuous time), and by $x_n$ (in discrete time) with $n=0,…,N-1$.\n",
- "- Make a plot of the input signal as a function of time, hence of the detrended accelerations.\n",
- "\n",
- "Report the estimated offset and slope of the trend (i.e. numerical values).\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "df = pd.read_csv('cantileverbeam_acc50Hz.csv', header=0)\n",
- "\n",
- "t = np.array(df['time']) #\n",
- "dat = np.array(df['acceleration']) #\n",
- "\n",
- "N = len(t)\n",
- "\n",
- "plt.figure()\n",
- "plt.plot(t, dat, color='b', label='acceleration signal')\n",
- "plt.xlabel('time [s]')\n",
- "plt.ylabel('acceleration [m/s2]')\n",
- "plt.title('Vertical cantilever beam acceleration')\n",
- "plt.legend()\n",
- "\n",
- "# observation record length (as N*dt, according to sample-and-hold convention)\n",
- "T = (t[N-1] - t[0])*N/(N - 1)\n",
- "dt = T/N\n",
- "\n",
- "YOUR_CODE_HERE"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 8:</b> \n",
- "\n",
- "Previously, in Task 3, you computed and plotted the magnitude spectrum $|X_k|$ of a signal for positive frequencies $f>0$ (putting a lot of attention to correctly labelling the horizontal frequency axis of the plot!), and now, with the material of Chapter 6 on spectral estimation, you will estimate the power spectral density $S$ of the signal through the periodogram, which is just: $S(k\\Delta f)=\\frac{|X_k|^2}{T}$ (in [W/Hz] when $x_n$ is a voltage signal; and $|X_k|$ being the result straight from the <code>np.fft</code>, multiplied by sampling interval $\\Delta t$), for frequency $k\\Delta f$, with frequency resolution $\\Delta f=\\frac{1}{T}$, and $k=0,…,N-1$ (hence, pretty much the same procedure as with the magnitude spectrum, though just taking the square of the modulus, and dividing by $T$).\n",
- "\n",
- "Compute and plot the periodogram for the detrended accelerometer measurements of Task 7 (if you prefer, feel free to use a linear scaling of the axes here, rather a log-log, and, use $T$ as defined already in the code of Task 7). Please, pay attention to correctly labelling the axes, and stating dimensions of the quantities along the axes!\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 9:</b> \n",
- "\n",
- "Answer the following questions:\n",
- "<ol>\n",
- " <li>Report the damped natural frequency (in Hertz) of this one-degree-of-freedom (1DOF) mechanical system. Does it match the motion of the beam shown in the cantilever-beam video?</li>\n",
- " <li>The acceleration was measured at quite a high sample rate of $50$ Hz. What is the minimum sampling frequency to correctly identify the damped natural frequency in the periodogram?</li>\n",
- "</ol>\n",
- "<p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Write your answer(s) in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Task 10: Global Mean Sea-Level (GMSL) data (optional)\n",
- "\n",
- "Repeat the steps with Tasks 7-9, but now with the Global Mean Sea Level data set. Data is from the Australia's National Science Agency (CSIRO): [GMSL data](https://www.cmar.csiro.au/sealevel/sl_hist_last_decades.html). \n",
- "\n",
- "These data result from nearly 3 decades of satellite altimetry (with satellite missions such as TOPEX/Poseidon and the Jason-series). The first column contains the time tag or epoch (in decimal years), the second column is the global mean sea level (in mm). There is one measurement per month (monthly average, so that for instance tide-effects are averaged out, and the measurement typically refers to the middle of the month, hence 1993.042 is mid January in 1993). The single monthly measurement is the global mean sea level, so, the average of the entire world.\n",
- "\n",
- "The sampling frequency $f_s = 12$ per year ($\\Delta t = 1/12 \\sim 0.083$ year), and there are $N=331$ measurements in total."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "data = pd.read_csv('CSIRO_Alt_seas_inc.txt', names=['month', 'sl'])\n",
- "data.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "# create time-array, time relative to t0 [yr] (epoch-time of the first observation;\n",
- "# t0=1993.042 refers to mid January 1993)\n",
- "t = data.iloc[:, 0] - data.iloc[0, 0]\n",
- "\n",
- "# number of observations\n",
- "N = len(t)\n",
- "\n",
- "# observation record length (as N * dt, according to sample-and-hold convention)\n",
- "T = (t[N - 1] - t[0]) * N / (N - 1)\n",
- "\n",
- "# Delta t [yr]; dt = T/N = (N*dt)/N\n",
- "dt = T / N\n",
- "\n",
- "# observed sea-level height\n",
- "y = data.iloc[:,1]\n",
- "\n",
- "# plot observed time-series, as it is, versus epoch-time in [year]\n",
- "plt.plot(data.iloc[:,0],y, color='b', label='sea level')\n",
- "plt.xlabel('time [yr]')\n",
- "plt.ylabel('sea-level height [mm]')\n",
- "plt.title('Global Mean Sea-Level (GMSL) rise')\n",
- "plt.legend();"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 10 (Optional!):</b> \n",
- "\n",
- "Detrend the data. \n",
- "\n",
- "Estimate and plot power spectral density (PSD), hence the periodogram, for the (detrended) global mean sea-level data. \n",
- "\n",
- "Identify the largest peak in the spectrum, what is the frequency, and can you come up with a physical explanation of this behaviour?\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Write your answer(s) in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>End of task.</b>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#C8FFFF; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\">\n",
- "<p>\n",
- "<b>Appendix A: Cantilever-beam dynamics:</b> \n",
- "\n",
- "The dynamics of the smartphone suspended on a cantilever beam can be considered as the mass-spring-damper system shown below:\n",
- "\n",
- "<img src=\"https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/mass_spring_damper.png\" style=\"margin:auto\" width=200/>\n",
- "\n",
- "The equation of motion of the deflection $x$ of this mass-spring-damper system (a damped harmonic oscillator) can be described by the following second order differential equation:\n",
- "\n",
- "$$\n",
- "\\ddot{x}(t) + \\frac{c}{m} \\dot{x}(t) + \\frac{k}{m} x(t) =0\n",
- "$$\n",
- "\n",
- "Where $\\ddot{x}(t)$, $\\dot{x}(t)$ and $x(t)$ are the acceleration, velocity and displacement as a function of time of the oscillating mass $m$ [kg] respectively. (with a unit transfer function, $x(t)$ describes the motion of the proof mass inside the smartphone accelerometer). For simplicity, we consider here the homogeneous equation, corresponding to free motion. The other parameters are the damping coefficient $c$ [kg/s] and spring constant $k$ [N/m]. The damping ratio can be obtained from the system parameters: $\\zeta = \\frac{c}{2 \\sqrt{mk}}$, which is dimensionless. The undamped natural frequency is $\\omega_0 = \\sqrt{\\frac{k}{m}}$ [rad/s]. The differential equation becomes:\n",
- "\n",
- "$$\n",
- "\\ddot{x}(t) + 2 \\zeta \\omega_0 \\dot{x}(t) + \\omega_0^2 x(t) =0\n",
- "$$\n",
- "\n",
- "For the under-damped case ($0 \\le \\zeta \\le 1)$ of our smartphone and assuming an initial zero tip velocity $\\dot{x}(t=0)=0$ (release from stand-still), the solution for the position as a function of time is given by:\n",
- "\n",
- "$$\n",
- "x(t)=e^{-\\zeta \\omega_0 t} \\frac{x(0)}{\\sqrt{1-\\zeta^2}}\\sin(\\omega_d t + \\varphi)\n",
- "$$\n",
- "\n",
- "Where $x(0)$ is the initial position $x(t=0)$, $\\omega_d$ is the damped natural frequency $\\omega_d = \\omega_0 \\sqrt{1-\\zeta^2}$, and the phase shift $\\varphi = \\arctan \\left( \\frac{\\sqrt{1-\\zeta^2}}{\\zeta} \\right)$. The sinusoid term represents the harmonic motion, and the exponential term represents the damping of that motion over time. Next, the velocity of the smartphone's oscillation can be derived as:\n",
- "\n",
- "$\\dot{x}(t) = e^{-\\zeta \\omega_0 t} \\frac{x(0)}{\\sqrt{1-\\zeta^2}}\\sin(\\omega_d t)$.\n",
- "\n",
- "The acceleration of the smartphone (which is what is being measured) is found as:\n",
- "\n",
- "$\\ddot{x}(t) = e^{-\\zeta \\omega_0 t} \\frac{x(0)}{\\sqrt{1-\\zeta^2}} \\sin (\\omega_d t - \\phi)$.\n",
- "\n",
- "Note that $\\omega_0$ and $\\omega_d$ are the angular frequencies expressed in radians per second. $\\ddot{x}(t)$ is a damped harmonic signal where the rate of damping is determined by the damping ratio $\\zeta$.\n",
- "\n",
- "In order to get a pure harmonic signal (as used in Tasks 1 to 5), set the damping ratio $\\zeta=0$, and optionally set the phase-shift $\\phi$ to zero as well, then the tip acceleration is given by the following simple sinusoidal expression:\n",
- "\n",
- "$$\n",
- "\\ddot{x}(t)=x(0) \\sin(\\omega_0 t).\n",
- "$$\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**End of notebook.**\n",
- "<h2 style=\"height: 60px\">\n",
- "</h2>\n",
- "<h3 style=\"position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; bottom: 60px; right: 50px; margin: 0; border: 0\">\n",
- " <style>\n",
- " .markdown {width:100%; position: relative}\n",
- " article { position: relative }\n",
- " </style>\n",
- " <a rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\">\n",
- " <img alt=\"Creative Commons License\" style=\"border-width:; width:88px; height:auto; padding-top:10px\" src=\"https://i.creativecommons.org/l/by/4.0/88x31.png\" />\n",
- " </a>\n",
- " <a rel=\"TU Delft\" href=\"https://www.tudelft.nl/en/ceg\">\n",
- " <img alt=\"TU Delft\" style=\"border-width:0; width:100px; height:auto; padding-bottom:0px\" src=\"https://gitlab.tudelft.nl/mude/public/-/raw/main/tu-logo/TU_P1_full-color.png\" />\n",
- " </a>\n",
- " <a rel=\"MUDE\" href=\"http://mude.citg.tudelft.nl/\">\n",
- " <img alt=\"MUDE\" style=\"border-width:0; width:100px; height:auto; padding-bottom:0px\" src=\"https://gitlab.tudelft.nl/mude/public/-/raw/main/mude-logo/MUDE_Logo-small.png\" />\n",
- " </a>\n",
- " \n",
- "</h3>\n",
- "<span style=\"font-size: 75%\">\n",
- "© Copyright 2024 <a rel=\"MUDE\" href=\"http://mude.citg.tudelft.nl/\">MUDE</a> TU Delft. This work is licensed under a <a rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\">CC BY 4.0 License</a>."
- ]
- }
- ],
- "metadata": {
- "kernelspec": {
- "display_name": "mude-base",
- "language": "python",
- "name": "python3"
- },
- "language_info": {
- "codemirror_mode": {
- "name": "ipython",
- "version": 3
- },
- "file_extension": ".py",
- "mimetype": "text/x-python",
- "name": "python",
- "nbconvert_exporter": "python",
- "pygments_lexer": "ipython3",
- "version": "3.12.4"
- },
- "widgets": {
- "application/vnd.jupyter.widget-state+json": {
- "state": {},
- "version_major": 2,
- "version_minor": 0
- }
- }
- },
- "nbformat": 4,
- "nbformat_minor": 4
-}
diff --git a/src/students/GA_2_3/Analysis_solution.ipynb b/src/students/GA_2_3/Analysis_solution.ipynb
deleted file mode 100644
index 0853a5fb927ef860dee7cc8e1f137306c52ce2e4..0000000000000000000000000000000000000000
--- a/src/students/GA_2_3/Analysis_solution.ipynb
+++ /dev/null
@@ -1,1695 +0,0 @@
-{
- "cells": [
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "# GA 2.3: Beam Beats\n",
- "\n",
- "<h1 style=\"position: absolute; display: flex; flex-grow: 0; flex-shrink: 0; flex-direction: row-reverse; top: 60px;right: 30px; margin: 0; border: 0\">\n",
- " <style>\n",
- " .markdown {width:100%; position: relative}\n",
- " article { position: relative }\n",
- " </style>\n",
- " <img src=\"https://gitlab.tudelft.nl/mude/public/-/raw/main/tu-logo/TU_P1_full-color.png\" style=\"width:100px\"\\>\n",
- " <img src=\"https://gitlab.tudelft.nl/mude/public/-/raw/main/mude-logo/MUDE_Logo-small.png\" style=\"width:100px\"\\>\n",
- "</h1>\n",
- "<h2 style=\"height: 10px\">\n",
- "</h2>\n",
- "\n",
- "*[CEGM1000 MUDE](http://mude.citg.tudelft.nl/): week 2.3. Due: Friday, November 29, 2024.*"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Analyzing cantilever-beam accelerations and global Mean Sea-Level measurements\n",
- "\n",
- "This project covers the week on Signal Processing (week 2.3).\n",
- "\n",
- "As a warming up you will create and analyze some elementary signals yourself, and next, you will carry out frequency domain analyses on two given data-sets, namely acceleration measurements of a Cantilever-Beam experiment, and (in optional Task 10) Global Mean Sea-Level measurements.\n",
- "\n",
- "Most of the Tasks in this notebook consist of both coding, producing a plot, and answering (open) questions. Typically, as you work your way through the Tasks, you can often re-use code, or part of it, from earlier Tasks and assignments. That will save you a lot of work!!"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "0491cc69"
- },
- "source": [
- "<div style=\"background-color:#facb8e; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\"> <p>In many of the code blocks below, template code to create figures is provided. Note that there is a lot of code missing, and one line of <code>YOUR_CODE_HERE</code> does not imply that only one line of code is missing!</p></div>"
- ]
- },
- {
- "attachments": {
- "verticalcantileverbeam.png": {
- "image/png": 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IBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYuKwrpzAgGLisK6cwIBi4rCunMCAYu68871yOIGeEoz7tX/7riWj6Ftnwebfk82vJ5tOXzaMvnsU3LRebfAIt+pFUH3+/odQ/8sOan9eo/X2TVwfc7et0DP6yP6Vl9+I+XWXXw/Y5e98CP6tWntei9ZtXB9zt63QM/rNfpWS1Muebg+x297oEf1vyxsehprTr4fkeve+CHNT+tfuuJ58fGx6Knterg+x297oEf1fwNYNGXuVUH3+/odQ/8sPqt52nMHxuLntaqg+939LoHfljz01r0sbHq4Psdve6BH9b8sbHoaa06uN96rqvfep5Gv/U8jfljY9HTWnXw/Y5e98APa35aiz42Vh18v6PXPfDDmj82Fj2tVQf3W8+VzU/Lf7zMqoPvd/S6B35U/dbzNOaPjUVPa9XB9zt63QM/rKZ8GvPTWvQNYNXB9zt63QM/rH7reRb91vM0mvJpzB8bi57WqoPvd/S6B35Y89Pqt5548zeARU9r1cH3O3rdAz+q/mXl0+i3nqcxf2wselqrDr7f0ese+GHNT2vRx8aqg+939LoHfljzx8aip7Xq4H7rua5+63ka/dbzNOaPjUVPa9XB9zt63QM/rPlpLfrYWHXw/Y5e98APa/7YWPS0Vh3cbz3X1W89T6Pfep7G/LGx6GmtOvh+R6974Ic1P61FHxurDr7f0ese+GH5tJZ9A1h18P2OXvfAD2vVN4B1Xx/udnS/9Rzpt56H4u/QZU9r1cH3O3rdAz+u6ffowqe16uD7Hb3ugR/Y+MQWfwNYdfD9jl73wA/sfc03gFUH3+/odQ9ctaU/f/4PDvMXtjrnOloAAAAASUVORK5CYII="
- }
- },
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Data Acquisition System\n",
- "\n",
- "A data acquisition (DAQ) system usually consists of four components:\n",
- "\n",
- "<img src=\"https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/DAQ.png\" style=\"margin:auto\"/>\n",
- "\n",
- "\n",
- "- A sensor transforms a physical signal into a small voltage. The transformation is often frequency dependent or nonlinear, and can show drift or bias.\n",
- "- Signal conditioning electronics (often included in the sensor housing) filter unwanted frequencies, such as the 50 Hz line frequency caused by power plant generators, using low-pass or notch filters. In addition the sensor voltage may be amplified.\n",
- "- An analog-to-digital (A/D) converter samples the analog voltage with a certain rate, such as 100 Hz. The A/D converter can measure analog voltages within a certain range, the measurement range. The measured voltage is quantized with a certain resolution, such as 14-bit, which means that the full measurement range is divided into $2^{14}=16,384$ discrete intervals. Together, the resolution and measurement range determine the precision. Usually the sample rate, the measurement range, and the sample resolution are configurable. Sampling and quantizing together turns an analog signal into a digital signal.\n",
- "- A digital computer reads the sampled data from the A/D converter at specific times, and allows for further processing, analysis and storage of the (digital) signal.\n",
- "\n",
- "The result is that an analog, physical signal, is turned into a series of numbers (samples of the signal, in the time domain), ready for processing and analysis in a digital computer.\n",
- "\n",
- "\n",
- "\n",
- "One of the data sets that you will analyze during this MUDE Q2 project was acquired by an accelerometer in a smartphone, on top of a vertical cantilever-beam. The accelerometer measures the side-ward accelerations, expressed in m/s<sup>2</sup>, and sampled at 50 Hz. Detailed information about the experiment and the sensor can be found in \"Experimental evaluation of smartphone accelerometer and low-cost dual frequency GNSS sensors for deformation monitoring\", by Alexandru Lapadat, Christian Tiberius and Peter Teunissen, Sensors 2021, 21, 7946, https://doi.org/10.3390/s21237946.\n",
- "\n",
- "A quick impression of the test setup can be gained by watching the short video [Cantilever Beam Experiment](https://youtu.be/o4moRwvlBLU?si=aKelBMWm3HB2Of26) (1 minute).\n",
- "\n",
- "A theoretical description of the motion of the smartphone accelerometer fixed to the cantilever beam is presented in Appendix A. Pulling the beam at the tip and releasing it, results in a (nearly) horizontal side-ward motion of the smartphone, and the (horizontal) position can be described by a *damped harmonic* as a function of time. Consequently, also the first and second derivative with respect to time, the velocity and acceleration as a function of time as the smartphone will measure it, are harmonics.\n",
- "\n",
- "### Basic sinusoid signal\n",
- "\n",
- "You will start with first creating (and analyzing) a few simple signals yourself. In the first few Tasks of this project, we will take the damping ratio zero and use a fairly short measurement time (duration), and hence the acceleration measured by the smartphone is a plain (undamped) sinusoid as shown in Appendix A (a stationary signal). In the following Tasks we also add a phase offset $\\varphi$ to the plain sinusoid:\n",
- "\n",
- "$$\n",
- "x(t) = A \\sin(2 \\pi f_c t + \\varphi)\n",
- "$$\n",
- "\n",
- "The result is taken from the last equation in Appendix A. We consider here acceleration, though for convenience, we omit the dots on top of the $x(t)$."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 2,
- "metadata": {},
- "outputs": [],
- "source": [
- "import numpy as np\n",
- "import pandas as pd\n",
- "import matplotlib.pyplot as plt\n",
- "\n",
- "%matplotlib inline"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 1:</b>\n",
- "\n",
- "- Create a time-array starting at $t=0$ s, ending at $t=5.0$ s, with a sampling rate of 100 Hz. Hint: what is the number of samples $N$? And what should then be the last value in the time-array? Note that, for example, with $N=10$ samples at a sampling rate of $f_s = 100$ Hz, we have signal samples at times $t=0.00, 0.01, 0.02, ... , 0.08, 0.09$ seconds, hence $T_{meas}= N \\Delta t =0.1$ seconds (the sample-and-hold convention).\n",
- "- Create a sinusoidal signal $x(t) = A \\sin(2 \\pi f_c t + \\varphi)$, with amplitude $A=1.0$ Volt, carrier frequency $f_c=1.0$ Hz, and initial phase $\\varphi = 5$ degrees, to be converted into radians.\n",
- "- Make a plot of the signal against time. Note that this is strictly a *sampled signal* $x_n$ rather than $x(t)$, but since we use a rather high sampling rate, the signal shown is close to continuous in time. Connecting the sample points of $x_n$ in the graph by lines, as done in the graph below, corroborates the suggestion of a continuous-time signal. Be aware!\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {
- "id": "0491cc69"
- },
- "source": [
- "<div style=\"background-color:#facb8e; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\"> <p>We will give you the answers in this code cell for free!</p></div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 3,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 640x480 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "T_meas = 5\n",
- "f_s = 100 #sampling rate [Hz]\n",
- "\n",
- "t_vec = np.arange(0, T_meas, 1 / f_s) # ends at 4.99, length 500 according to the sample-and-hold convention\n",
- "\n",
- "A = 1 \n",
- "f_c = 1 \n",
- "phi = 5 * np.pi / 180\n",
- "x = A * np.sin(2 * np.pi * f_c * t_vec + phi)\n",
- "\n",
- "plt.plot(t_vec, x, color='b', label='signal')\n",
- "plt.xlabel(r'$t \\: [s]$')\n",
- "plt.ylabel(r'$x(t) \\: [V]$')\n",
- "plt.legend(loc='upper right')\n",
- "plt.title(fr'Sinusoidal signal with $A$={A} V, $f_c$={f_c} Hz and initial phase $\\phi$={phi:.3f} °')\n",
- "plt.grid()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#FAE99E; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\">\n",
- "<p>\n",
- "<b>Solution:</b>\n",
- " \n",
- "The number of samples is $N=\\frac{T_{meas}}{\\Delta t}=T_{meas}\\cdot f_s=5\\cdot 100=500$.\n",
- "The last value should be $4.99$ because we use a $\\Delta t=\\frac{1}{f_s}=0.01$ s.\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### The Discrete Fourier Transform (chapter 5)\n",
- "\n",
- "To discover which frequencies are contained in the signal $x(t)$, we can transform it from the time domain to the frequency domain using the Fourier transform:\n",
- "\n",
- "$$\n",
- "X(f) = \\int_{-\\infty}^{\\infty} x(t) e^{-j 2\\pi f t} dt\n",
- "$$\n",
- "\n",
- "Which can then be expressed in terms of magnitude and phase:\n",
- "\n",
- "$$\n",
- "X(f) = |X(f)|e^{j\\theta(f)}\n",
- "$$\n",
- "\n",
- "Where $|X(f)|$ plotted against frequency $f$ is called the *magnitude spectrum* (and practically often referred to as amplitude spectrum).\n",
- "\n",
- "The set and number of sinusoids required to approximate or re-create a given signal $x(t)$ depends on the shape of that signal. Of course, when the signal is a pure sinusoid, we only need one term. For an example, consider a 2 Hz sinusoidal signal and its magnitude spectrum below (the magnitude spectrum is expressed in [Vs], which equals [V/Hz], hence a magnitude or amplitude density).\n",
- "\n",
- "<img src=\"https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/SignalSpectrumExample.png\" style=\"margin:auto\" width=800/>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "You can see a sharp spike in the magnitude plot (which has two logarithmic axes, and we only plot the spectrum for positive frequencies $f>0$). A continuous time sinusoid with amplitude $A$ will produce a magnitude of $\\frac{A T_{meas}}{2}$ in the amplitude spectrum (with $T_{meas}$ the *measurement time* or duration), rather than $\\frac{A}{2}$ which you would expect (in a double-sided spectrum). This is because of the limited time duration of the input signal, which actually implies multiplication of $x(t)$ by a *rectangular time window* $w(t)=\\Pi(\\frac{t}{T_{meas}})$. Since the sinusoid has an amplitude of $A=1$ V, and was measured for $T_{meas}=5$ seconds, the magnitude becomes 2.5. The magnitude at all other frequencies is very small, approximately $10^{-15}$, or approximately zero.\n",
- "\n",
- "The Fourier transform is a continuous-time operation, mapping the continuous time-domain to the continuous frequency domain. Usually, we don't have continuous-time signals, but discrete time signals $x_n$ sampled at a certain sampling rate. The discrete Fourier Transform (DFT) is the discrete-time equivalent of the continuous time-Fourier transform:\n",
- "\n",
- "$$\n",
- "X_k = \\sum_{n=0}^{N-1}x_ne^{-j2\\pi kn/N}, k=0,1,...,N-1\n",
- "$$\n",
- "\n",
- "Where $X_k$ is the sequence of frequency domain samples. NumPy contains a function to perform the DFT using a fast numerical algorithm, the Fast Fourier Transform:\n",
- "\n",
- "<code>X_discr = np.fft.fft(x)</code>\n",
- "\n",
- "For more information on the function see [here](https://numpy.org/doc/stable/reference/generated/numpy.fft.fft.html).\n",
- "\n",
- "The discrete-time signal $x_n$ and the frequency domain samples $X_k$ returned by Python are of equal length ($N$ samples in, $N$ samples out). When you compare the equations of the DFT with the continuous Fourier Transform, you will see that in the continuous equation we integrate over time $t$, while in the DFT *no information* about the time or sample rate is required (there is no $\\Delta t$ in the above equation for $X_k$, as noted at the end of Chapter 5). This results in a *scale factor* in the spectrum when the DFT of signals with different sample rates are compared. To solve this, we have to multiply the DFT as calculated by NumPy by the sample time interval $\\Delta t = 1/f_s$ to restore the time dimension and obtain a *discrete approximation of the continuous Fourier Transform*. To account for the measurement duration as described above, we have to divide by $T_{meas} = N \\Delta t$. So, in total, multiply by $\\Delta t$ and divide by $T_{meas}$, hence, we have to divide the NumPy result by the number of samples $N$:\n",
- "\n",
- "<code>X_cont = np.fft.fft(x) / N</code>\n",
- "\n",
- "The DFT only contains information (the complex value of $X_k$) at discrete frequencies, known as the *analysis frequencies*, which are integer multiples of the frequency resolution $f_0$. If we have a sampled signal $x_n$ consisting of $N$ samples, sampled at $f_s$ Hz with $f_s=1/ \\Delta t$, the frequency resolution is:\n",
- "\n",
- "$$\n",
- "f_0 = \\frac{1}{T_{meas}} = \\frac{1}{N \\Delta t} = \\frac{f_s}{N}\n",
- "$$\n",
- "\n",
- "The first value of the complex vector $X_n$ returned by NumPy is the mean of the time-domain signal corresponding to $f=0$ Hz. So, the frequency vector corresponding to the discrete Fourier transform starts at zero and has $N$ elements, the analysis frequencies:\n",
- "\n",
- "<code>f_vec = np.arange(0, f_s, f_0)</code>\n",
- "\n",
- "With task 2 you visualize the entire output as you get it from the `np.fft.fft`, hence for frequencies $[0,f_s)$. From Chapter 4 you know that the spectrum of a sampled signal repeats every integer multiple of $f_s$ (copies of the spectrum)."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 2:</b> \n",
- "\n",
- "- Calculate the Fast Fourier Transform of the signal you generated in Task 1. Remember: the signal has 500 samples and thus does *not* end at exactly 5 second.\n",
- "- Create the frequency vector $f$ with the analysis frequencies.\n",
- "- Plot the modulus of the Fourier Transform against the frequency $f$ using a log scale on both axes. Use plot markers to see at which frequencies the Fourier transform was calculated.\n",
- "\n",
- "On top of that, answer to the following questions:\n",
- "<ol>\n",
- " <li>Describe the amplitude spectrum.</li>\n",
- " <li>What is the magnitude of $X(f)$ at $f$ = 1 Hz?</li>\n",
- " <li>Do you notice anything peculiar about the amplitude spectrum?</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE\n",
- "\n",
- "# Write your own code or use the template below to create your figure(s)\n",
- "\n",
- "# f, axes = plt.subplots(1,1,figsize=(10,5))\n",
- "\n",
- "# axes[0].plot(YOUR_CODE_HERE, YOUR_CODE_HERE, 'x', color='b', label='Fourier transform')\n",
- "# axes[0].loglog()\n",
- "# axes[0].set_xlabel('$f \\: \\: [Hz]$')\n",
- "# axes[0].set_ylabel('$|X(f)| \\: [V]$')\n",
- "# axes[0].grid()\n",
- "# axes[0].set_title('Log/Log')"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 7,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "[ 1. 99.]\n"
- ]
- },
- {
- "data": {
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",
- "text/plain": [
- "<Figure size 1000x500 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "## SOLUTION\n",
- "\n",
- "T_meas = 5\n",
- "f_s = 100\n",
- "\n",
- "t_vec = np.arange(0, T_meas, 1/f_s) # ends at 4.99, length 500 according to the sample-and-hold convention\n",
- "\n",
- "A = 1\n",
- "f_c = 1\n",
- "phi = 5 * np.pi / 180\n",
- "x = A * np.sin(2 * np.pi * f_c * t_vec + phi)\n",
- "\n",
- "N = len(x)\n",
- "X_cont = np.fft.fft(x) / N\n",
- "\n",
- "f_0 = f_s / N\n",
- "f_vec = np.arange(0, f_s, f_0)\n",
- "\n",
- "f, axes = plt.subplots(1,2,figsize=(10,5))\n",
- "\n",
- "axes[0].plot(f_vec, np.abs(X_cont), 'x', color='b', label='Fourier transform')\n",
- "axes[0].loglog()\n",
- "axes[0].set_xlabel(r'$f \\: \\: [Hz]$')\n",
- "axes[0].set_ylabel(r'$|X(f)| \\: [V]$')\n",
- "axes[0].grid()\n",
- "axes[0].set_title('Log/Log')\n",
- "\n",
- "axes[1].plot(f_vec, np.abs(X_cont), 'x', color='b', label='Fourier transform')\n",
- "axes[1].set_xlabel(r'$f \\: \\: [Hz]$')\n",
- "axes[1].set_ylabel(r'$|X(f)| \\: [V]$')\n",
- "axes[1].grid()\n",
- "axes[1].set_title('Linear')\n",
- "plt.legend()\n",
- "\n",
- "print(f_vec[np.abs(X_cont)>0.1])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#FAE99E; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\">\n",
- "<p>\n",
- "<b>Solution:</b> \n",
- "<ol>\n",
- " <li>A peak of 0.5 should be found (from theory) at a frequency of 1 Hz and one around 100 Hz (exactly at 99 Hz), the rest all close to zero.</li>\n",
- " <li>0.5 (as we divide the fft-result by N to get the equivalent of the continuous-time Fourier transform).</li>\n",
- " <li>The peak at 100 Hz (or 99 Hz to be precise) should not be there. We did not input a signal with such a frequency.</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Symmetry\n",
- "\n",
- "\n",
- "Due to symmetry properties of the DFT, the following holds for a real signal $x(t)$:\n",
- "\n",
- "$$\n",
- "|X_k| = |X_{-k}|\n",
- "$$\n",
- "\n",
- "Which means that the modulus of the Fourier coefficients is symmetric about $f=0$. The NumPy <code>fft</code> command appends the Fourier coefficients for $k<0$ to the right side of the Fourier coefficients for $k \\ge 0$. This is called the *two-sided* spectrum.\n",
- "\n",
- "Since we are working with real signals, the symmetry property is valid, and we can just ignore the coefficients for $k<0$. This means that we consider the following range in the frequency domain:\n",
- "\n",
- "$[0, \\frac{f_s}{2}]$ for even values of $N$\n",
- "\n",
- "$[0, \\frac{f_s}{2})$ for odd values of $N$\n",
- "\n",
- "In other words, we are only considering frequencies up to half of $f_s$. This is easily implemented in Python using the floor division operator <code>//</code>:\n",
- "\n",
- "<code>X_cont = X_cont[:N//2]</code>\n",
- "\\\n",
- "<code>f_vec = f_vec[:N//2]</code>\n",
- "\n",
- "If you're unfamiliar with this, consider that <code>A//B</code> returns the number of times <code>B</code> 'fits into' <code>A</code>. In principle, this will always return an integer, so it can be easily used for indexing an array. In this specifc example, <code>N//2</code> will return $\\frac{N}{2}$ for even $N$ and $\\frac{N-1}{2}$ for odd N, which is exactly what we want. See the example below."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 1,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "100 floor divided by 2: 50\n",
- "101 floor divided by 2: 50\n",
- "99 floor divided by 2: 49\n"
- ]
- }
- ],
- "source": [
- "N = 100\n",
- "print(f'{N} floor divided by 2: {N//2}')\n",
- "print(f'{N+1} floor divided by 2: {(N+1)//2}')\n",
- "print(f'{N-1} floor divided by 2: {(N-1)//2}')"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "\n",
- "<p>\n",
- "<b>Task 3:</b> \n",
- "\n",
- "- Repeat Task 2 with different measurement times $T_{meas}$ for the signal. Use measurement times such that the $f_c$ = 1 Hz oscillation fits *exactly* 1 time, 5 times and 20 times.\n",
- "- Plot the amplitude spectrum for all three measurement times, **only for positive frequencies**, in separate graphs (log-log scale) with the same domains and answer to the following questions:\n",
- "\n",
- "- What is the effect of changing $T_{meas}$ on the frequency range in the amplitude spectrum? Does the highest analysis frequency change?\n",
- "- Does the frequency resolution change?\n",
- "- Does the magnitude of at the peaks change?\n",
- "\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE\n",
- "\n",
- "# Write your own code or use the template below to create your figure(s)\n",
- "\n",
- "plt.figure(figsize=(12,4))\n",
- "for i, T_meas in enumerate(YOUR_CODE_HERE):\n",
- " YOUR_CODE_HERE\n",
- "\n",
- " plt.subplot(1, 3, i+1)\n",
- " \n",
- " YOUR_CODE_HERE\n",
- " \n",
- " plt.grid()\n",
- " plt.tight_layout()\n",
- "plt.legend()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 8,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- "text/plain": [
- "<Figure size 1200x400 with 3 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "### SOLUTION\n",
- "T_lst = [1, 5, 20]\n",
- "f_s = 100\n",
- "\n",
- "plt.figure(figsize=(12,4))\n",
- "for i, T_meas in enumerate(T_lst):\n",
- " t_vec = np.arange(0, T_meas, 1/f_s)\n",
- " A = 1\n",
- " f_c = 1\n",
- " phi = 5 * np.pi / 180\n",
- " x = A * np.sin(2 * np.pi * f_c * t_vec + phi)\n",
- " \n",
- " N = len(x)\n",
- " X_cont = np.fft.fft(x) / N\n",
- " \n",
- " f_0 = f_s / N\n",
- " f_vec = np.arange(0, f_s, f_0)\n",
- " \n",
- " X_cont = X_cont[:N//2]\n",
- " f_vec = f_vec[:N//2]\n",
- "\n",
- " plt.subplot(1, 3, i+1)\n",
- " plt.plot(f_vec, np.abs(X_cont), 'x', color='b', label='Fourier transform')\n",
- " plt.loglog()\n",
- " plt.xlim(0.04, 100)\n",
- " plt.ylim(10**(-19), 10)\n",
- " plt.xlabel(r'$f \\: \\: [Hz]$')\n",
- " plt.ylabel(r'$|X(f)| \\: [V]$')\n",
- " plt.grid()\n",
- " plt.tight_layout()\n",
- "plt.legend();"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#FAE99E; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\">\n",
- "<p>\n",
- "<b>Solution:</b> \n",
- "<ol>\n",
- " <li>No, the highest analysis frequency stays the same (as it is related to the sampling frequency, which we did not change).</li>\n",
- " <li>Yes, the frequency resolution becomes better/finer (gets smaller).</li>\n",
- " <li>No, because we already divide by (we already account for the measurement duration).</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Aliasing (chapter 4)\n",
- "\n",
- "So far we have been analyzing a signal with a fairly low frequency, just $1$ or $2$ Hz. Now suppose, due to some unexpected source, our signal contains a second sinusoid with a much higher frequency. This is often caused by the line frequency ($50$ Hz) due to power plant generators providing the $220$ V current in regular buildings, or by electrical interference. "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "\n",
- "<p>\n",
- "<b>Task 4: with this task we'll make you run into an aliasing problem . . .</b> \n",
- "\n",
- "- Create a time-array starting $t=0$, with a sampling rate of 100 Hz, and ending such that a sinusoid with a frequency of 1 Hz fits exactly 5 times in the measurement time.\n",
- "\n",
- "- Re-create the signal $x(t) = A \\sin(2 \\pi f_c t + \\varphi)$ from the first Task, with amplitude $A=1.0$ V, carrier frequency $f_c=1.0$ Hz, and initial phase $\\varphi = 5$ degrees, to be converted into radians.\n",
- "\n",
- "- Add to this signal a second sinusoid with a frequency of $80$ Hz and amplitude of $0.1$ V (and zero initial phase).\n",
- "\n",
- "- Create a plot of the signal against time, and of the amplitude spectrum as in the previous Tasks. \n",
- "\n",
- "Then answer to the following questions:\n",
- "<ol>\n",
- " <li>What do you see in the frequency plot? Are there peaks? How many? Where?</li>\n",
- " <li>Does this match what you see in the time plot?</li>\n",
- " <li>Does changing the measurement time (duration) help?</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE\n",
- "\n",
- "# Write your own code or use the template below to create your figure(s)\n",
- "\n",
- "# plt.figure(figsize=(12,6))\n",
- "# plt.subplot(211)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.grid()\n",
- "# plt.title('Time signal')\n",
- "# plt.legend()\n",
- "\n",
- "# plt.subplot(212)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.loglog()\n",
- "# YOUR_CODE_HERE\n",
- "# plt.grid()\n",
- "# plt.tight_layout()\n",
- "# plt.title('Amplitude spectrum')\n",
- "# plt.legend()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 9,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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- "text/plain": [
- "<Figure size 1200x600 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "### SOLUTION\n",
- "T_meas = 5\n",
- "f_s = 100\n",
- "\n",
- "t_vec = np.arange(0, T_meas, 1/f_s) # ends at 4.99, length 500\n",
- "\n",
- "A = 1\n",
- "f_c = 1\n",
- "phi = 5 * np.pi / 180\n",
- "x = A * np.sin(2 * np.pi * f_c * t_vec + phi)\n",
- "\n",
- "A_i = 0.1\n",
- "f_i = 80\n",
- "x += A_i * np.sin(2 * np.pi * f_i * t_vec)\n",
- "\n",
- "N = len(x)\n",
- "X_cont = np.fft.fft(x) / N\n",
- "\n",
- "f_0 = f_s / N\n",
- "f_vec = np.arange(0, f_s, f_0)\n",
- "\n",
- "X_cont = X_cont[:N//2]\n",
- "f_vec = f_vec[:N//2]\n",
- "\n",
- "plt.figure(figsize=(12,6))\n",
- "plt.subplot(211)\n",
- "plt.plot(t_vec, x, color='b', label='signal')\n",
- "plt.xlabel(r\"$t \\: [s]$\")\n",
- "plt.ylabel(r\"$x(t) \\: [V]$\")\n",
- "plt.grid()\n",
- "plt.title('Time signal')\n",
- "plt.legend()\n",
- "\n",
- "plt.subplot(212)\n",
- "plt.plot(f_vec, np.abs(X_cont), 'x', color='b', label='Fourier transform')\n",
- "plt.loglog()\n",
- "plt.xlim(0.04, 100)\n",
- "plt.ylim(10**(-19), 10)\n",
- "plt.xlabel(r\"$f \\: \\: [Hz]$\")\n",
- "plt.ylabel(r\"$|X(f)| \\: [V]$\")\n",
- "plt.grid()\n",
- "plt.tight_layout()\n",
- "plt.title('Amplitude spectrum')\n",
- "plt.legend();"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#FAE99E; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\">\n",
- "<p>\n",
- "<b>Solution:</b> \n",
- "<ol>\n",
- " <li>There are two peaks, one of $0.5$ at $1$ Hz and one of $0.05$ at $20$ Hz, which should be at $80$ Hz (again exact values are hard to read but should be derived from theory).</li>\n",
- " <li>Yes, there is a large amplitude sinusoid with a frequency of $1$ Hz, and a small amplitude sinusoid with a frequency of $20$ Hz on top if it (count the number of wiggles - there are $20$ wavies within 1 second). However, it does not match the input signal we created (with $1$ Hz and $80$ Hz).</li>\n",
- " <li>No, the frequency resolution would change, but not the largest frequency of the amplitude spectrum, as that one is determined by the sampling frequency $f_s$.</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "The effect seen in Task 4 is called *aliasing*, and the cause is that if your sample rate is too low for the signals you're measuring, you will not capture their oscillation period sufficiently - with at least two samples per cycle. Instead, the signal will appear at a much lower frequency, as you can see in the figure below. Here $f_c = 5$ Hz, and the signal was sampled with $f_c = 7$ Hz, and based on the discrete time samples we incorrectly conclude that there is a frequency component at $2$ Hz (at the end of Chapter 4).\n",
- "\n",
- "<img src=\"https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/NewSlide38.png\" style=\"margin:auto\" width=800/>\n",
- "<img src=\"https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/NewSlide51.png\" style=\"margin:auto\" width=800/>\n",
- "\n",
- "So, how fast do we need to sample to capture an $80$ Hz signal?"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 5:</b> \n",
- "\n",
- "Repeat Task 4 with different sample rates: $110, 150, 160,$ and $200$ Hz. Plot the signal and amplitude spectrum for each one (you might want to use a loop). \n",
- "\n",
- "Then answer the following questions:\n",
- "<ol>\n",
- " <li>At what frequency does the (aliased) 80 Hz signal appear in the spectrum, for the above values of $f_s$ (provide numerical answers)?</li>\n",
- " <li>Can you figure out the relationship (a simple equation) between the sample rate and the frequency of the original signal, and the frequency at which the alias appears?</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE\n",
- "\n",
- "# Write your own code or use the template below to create your figure(s)\n",
- "\n",
- "# for YOUR_CODE_HERE:\n",
- " \n",
- "# YOUR_CODE_HERE\n",
- " \n",
- "# plt.figure(figsize=(12,6))\n",
- "# plt.suptitle(f'$f_s = {YOUR_CODE_HERE}$ Hz')\n",
- "# plt.subplot(211)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.grid()\n",
- "# plt.legend()\n",
- " \n",
- "# plt.subplot(212)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.loglog()\n",
- "# plt.grid()\n",
- "# plt.tight_layout()\n",
- "# plt.legend()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 10,
- "metadata": {},
- "outputs": [
- {
- "data": {
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- "text/plain": [
- "<Figure size 1200x600 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
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- "text/plain": [
- "<Figure size 1200x600 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "image/png": 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- "text/plain": [
- "<Figure size 1200x600 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "image/png": 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- "text/plain": [
- "<Figure size 1200x600 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "### SOLUTION\n",
- "\n",
- "f_s_lst = [110, 150, 160, 200]\n",
- "\n",
- "for f_s in f_s_lst:\n",
- " T_meas = 5\n",
- " # f_s = 100\n",
- " \n",
- " t_vec = np.arange(0, T_meas, 1/f_s)\n",
- " \n",
- " A = 1\n",
- " f_c = 1\n",
- " phi = 5 * np.pi / 180\n",
- " x = A * np.sin(2 * np.pi * f_c * t_vec + phi)\n",
- " \n",
- " A_i = 0.1\n",
- " f_i = 80\n",
- " x += A_i * np.sin(2 * np.pi * f_i * t_vec)\n",
- " \n",
- " N = len(x)\n",
- " X_cont = np.fft.fft(x) / N\n",
- " \n",
- " f_0 = f_s / N\n",
- " f_vec = np.arange(0, f_s, f_0)\n",
- " \n",
- " X_cont = X_cont[:N//2]\n",
- " f_vec = f_vec[:N//2]\n",
- " \n",
- " plt.figure(figsize=(12,6))\n",
- " plt.suptitle(f'$f_s = {f_s}$ Hz')\n",
- " plt.subplot(211)\n",
- " plt.plot(t_vec, x, color='b', label='signal')\n",
- " plt.xlabel(r'$t \\: [s]$')\n",
- " plt.ylabel(r'$x(t) \\: [V] $')\n",
- " plt.grid()\n",
- " plt.legend()\n",
- " plt.subplot(212)\n",
- " plt.plot(f_vec, np.abs(X_cont), 'x', color='b', label='Fourier transform')\n",
- " plt.loglog()\n",
- " plt.xlim(0.04, 100)\n",
- " plt.ylim(10**(- 19), 10)\n",
- " plt.xlabel(r'$f \\: \\: [Hz]$')\n",
- " plt.ylabel(r'$|X(f)| \\: [V]$')\n",
- " plt.grid()\n",
- " plt.tight_layout()\n",
- " plt.legend()"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#FAE99E; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\">\n",
- "<p>\n",
- "<b>Solution:</b> \n",
- "<ul>\n",
- " <li> Different frequencies:\n",
- " <ul>\n",
- " <li>$f_s=110$ Hz: peak at $30$ Hz.\n",
- " <li>$f_s=150$ Hz: peak at $70$ Hz.\n",
- " <li>$f_s=160$ Hz: no peak (the $80$ Hz signal is sampled exactly twice per cycle, exactly at the 'zero-passes'; we now don't see it at all).\n",
- " <li>$f_s=200$ Hz: peak at $80$ Hz.\n",
- " </ul>\n",
- "</li>\n",
- " <li>The sample rate needs to be more than twice the (highest) frequency of the signal, which is the *Nyquist* rate. As long as we do not meet this requirement the alias appears mirrored about the Nyquist frequency (which is half the sampling frequency), e.g. with $f_s=110$ Hz, the alias of $f_i=80$ Hz appears at $110-80=30$ Hz.</li>\n",
- "</ol> \n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "As you probably figured out, the sample rate needs to be faster than twice the largest frequency in the signal. In other words, you can measure signals with a frequency up to half the sample rate without aliasing becoming a problem. The frequency above which aliasing occurs (half the sampling rate) is called the *Nyquist frequency* (Chapter 4)."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Damped vibrations\n",
- "\n",
- "We now know how to create an amplitude/magnitude spectrum. We've seen that we get aliasing if our signal has components at frequencies higher than the *Nyquist frequency* (and leakage if the measurement time is too short). Now, let's consider the damped vibration aceleration signal that an accelerometer would measure (see *Appendix A*). In this case the damping ratio is not equal to zero, unlike in Tasks 1 to 5."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 6:</b> \n",
- "\n",
- "- Create a time-array starting at $t=0$ s, ending at $t = 50$ s, with a sampling rate of $100$ Hz.\n",
- "- Create a damped harmonic acceleration signal $x(t) = \\frac{x(0)}{\\sqrt{1-\\zeta^2}} e^{-\\zeta \\omega_0 t} \\sin(\\omega_d t)$ with $\\zeta = 0.05$, $\\omega_0 = 10 \\pi$ rad/s (corresponding to $5$ Hz), $\\omega_d = \\omega_0 \\sqrt{1-\\zeta^2} = 9.987 \\pi$ rad/s, and initial displacement $x(0)=1$ (for convenience the initial phase of the signal is kept to zero).\n",
- "- Create a plot of the signal against time, and of the amplitude spectrum as in the previous Tasks.\n",
- "\n",
- "Then answer the following questions:\n",
- "<ol>\n",
- " <li>Do you see any changes in the time plot, compared to the earlier plot? Describe them!</li>\n",
- " <li>What is the dominant frequency of the signal now?</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE\n",
- "\n",
- "# # Write your own code or use the template below to create your figure(s)\n",
- "\n",
- "# plt.figure(figsize=(12,6))\n",
- "# plt.subplot(211)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.grid()\n",
- "# plt.legend()\n",
- "\n",
- "# plt.subplot(212)\n",
- "# YOUR_CODE_HERE\n",
- "# plt.loglog()\n",
- "# YOUR_CODE_HERE\n",
- "# plt.grid()\n",
- "# plt.tight_layout()\n",
- "# plt.legend()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 12,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "4.98\n"
- ]
- },
- {
- "data": {
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- "text/plain": [
- "<Figure size 1200x600 with 2 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "### SOLUTION\n",
- "T_meas = 50\n",
- "f_s = 100\n",
- "\n",
- "t_vec = np.arange(0, T_meas, 1/f_s)\n",
- "\n",
- "x_0 = 1\n",
- "zeta = 0.05\n",
- "omega_0 = 10 * np.pi\n",
- "omega_d = omega_0 * np.sqrt(1 - zeta**2)\n",
- "x = x_0 / (np.sqrt(1 - zeta**2)) * np.exp(-zeta * omega_0 * t_vec) * np.sin(omega_d * t_vec)\n",
- "\n",
- "N = len(x)\n",
- "X_cont = np.fft.fft(x) / N\n",
- "\n",
- "f_0 = f_s / N\n",
- "f_vec = np.arange(0, f_s, f_0)\n",
- "\n",
- "X_cont = X_cont[:N//2]\n",
- "f_vec = f_vec[:N//2]\n",
- "\n",
- "plt.figure(figsize=(12,6))\n",
- "plt.subplot(211)\n",
- "plt.plot(t_vec, x, color='b', label='signal')\n",
- "plt.xlabel(r\"$t \\: [s]$\")\n",
- "plt.ylabel(r\"$x(t) \\: [V] $\")\n",
- "plt.title('Time signal')\n",
- "plt.grid()\n",
- "plt.legend()\n",
- "\n",
- "plt.subplot(212)\n",
- "plt.plot(f_vec, np.abs(X_cont), 'x', color='b', label='Fourier transfrom')\n",
- "plt.loglog()\n",
- "plt.xlim(0.04, 100)\n",
- "plt.ylim(10**(-7), 10)\n",
- "plt.xlabel(r\"$f \\: \\: [Hz]$\")\n",
- "plt.ylabel(r\"$|X(f)| \\: [V]$\")\n",
- "plt.title('Amplitude spectrum')\n",
- "plt.grid()\n",
- "plt.tight_layout()\n",
- "plt.legend()\n",
- "\n",
- "print(f_vec[np.argmax(np.abs(X_cont))])"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#FAE99E; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\">\n",
- "<p>\n",
- "<b>Solution:</b> \n",
- "<ol>\n",
- " <li>The signal is now clearly a sinusoid with an exponentially decaying amplitude, a.k.a. a damped vibration!</li>\n",
- " <li>Around $5$ Hz (max value of $|X_{cont}|$ at $4.98$ Hz).</li>\n",
- "</ol>\n",
- "Instead of a 'crisp' spectrum, with a very clear, distinct and ultimately narrow peak, you now get a kind of smoothed or faded peak. This is simply the result of dealing with a damped harmonic, rather than a perfect harmonic. The signal somehow still looks pretty periodic, but strictly spoken, the signal is not periodic anymore, as the amplitude slightly changes (decreases) with time.\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Cantilever-beam acceleration measurements\n",
- "\n",
- "Now you're ready to start analyzing the cantilever-beam acceleration measurements.\n",
- "\n",
- "Read in the data-file: *cantileverbeam_acc50Hz.csv*.\n",
- "\n",
- "This dataset contains 5 minutes of measurements with a sampling rate of $50$ Hz (a total of $N=15001$ samples). The first column in the file contains the UTC time of day (in seconds), the second column contains the measured acceleration (in m/s<sup>2</sup>)."
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "### Detrending\n",
- "\n",
- "In this project the signal of interest is the damped, harmonic motion of the cantilever-beam. In addition the measurements may contain (unwanted) effects of the sensor (think of an offset, due to imperfect manufacturing and/or prior calibration, or a drift over time, for instance due to temperature changes in the electronics during the experiment). By detrending we mean to remove such effects, prior to our spectral analysis, so that we can start with a nice, zero mean signal. A-priori detrending is good practice and generally yields a cleaner spectrum. Next week (week 2.4 on Time Series Analysis) we cover the subject of removing unwanted effects from the signal in more detail, as to obtain a so-called **stationary** signal, meaning that the properties or characteristics of the signal (such as the mean) do not change over time, and, we provide practical means to “stationarize†a given or measured signal.\n",
- "\n",
- "There are built-in functions in Python to remove such an offset and/or trend (and you're free to use them). But, earlier in the MUDE, in week 1.3, you learned about least-squares parameter estimation, and that's what you can apply to do the detrending (and actually built-in functions just apply the very same principle). Next week, on Time Series Analysis, you will actually be covering (again) the estimation of a trend in a time series of measurements.\n",
- "As a re-cap for week 1.3: when a series of observations $y_1, …, y_m$ (in our case with $m=N$) is supposed or expected to exhibit a functional linear trend (a straight line in terms of a graph), this can be modelled as\n",
- "\n",
- "$$\n",
- "\\mathbb{E} = \\begin{pmatrix} \\begin{bmatrix} Y_{1} \\\\ Y_{2} \\\\ \\vdots \\\\ Y_{m} \\end{bmatrix} \\end{pmatrix} \n",
- " = \n",
- " \\begin{bmatrix} 1 & t_1 - t_1 \\\\ 1 & t_2 - t_1 \\\\ \\vdots & \\vdots \\\\ 1 & t_m - t_1 \\end{bmatrix} \n",
- " \\begin{pmatrix} x_{1} \\\\ x_{2} \\end{pmatrix}\n",
- "$$\n",
- "\n",
- "with $x_1$ the offset at time $t_1$ (rather than $t=0$), and $x_2$ the slope of the line. The two unknown parameters in this vector $x$ can be estimated through (unweighted) least-squares, $\\hat{x}=(A^T A)^{-1} A^T y$, and next the residuals are obtained as $\\hat{\\epsilon}=y-\\hat{y}=y-A\\hat{x}$. The residuals are the 'left-over part' of the observations, once the (estimated) trend has been taken out; these residuals are of interest for further spectral analysis!"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 7:</b> \n",
- "\n",
- "- For the cantilever-beam acceleration measurements, perform a least-squares estimation according to the above model, and report the estimated offset and slope of the trend.\n",
- "- The detrended acceleration measurements, hence the elements of vector $\\hat{\\epsilon}$ are the input to your spectral analysis, so from here on, we denote them by $x(t)$ (in continuous time), and by $x_n$ (in discrete time) with $n=0,…,N-1$.\n",
- "- Make a plot of the input signal as a function of time, hence of the detrended accelerations.\n",
- "\n",
- "Report the estimated offset and slope of the trend (i.e. numerical values).\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "df = pd.read_csv('cantileverbeam_acc50Hz.csv', header=0)\n",
- "\n",
- "t = np.array(df['time']) #\n",
- "dat = np.array(df['acceleration']) #\n",
- "\n",
- "N = len(t)\n",
- "\n",
- "plt.figure()\n",
- "plt.plot(t, dat, color='b', label='acceleration signal')\n",
- "plt.xlabel('time [s]')\n",
- "plt.ylabel('acceleration [m/s2]')\n",
- "plt.title('Vertical cantilever beam acceleration')\n",
- "plt.legend()\n",
- "\n",
- "# observation record length (as N*dt, according to sample-and-hold convention)\n",
- "T = (t[N-1] - t[0])*N/(N - 1)\n",
- "dt = T/N\n",
- "\n",
- "YOUR_CODE_HERE"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 13,
- "metadata": {},
- "outputs": [
- {
- "data": {
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",
- "text/plain": [
- "<Figure size 640x480 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 640x480 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# LOAD DATA\n",
- "\n",
- "df = pd.read_csv('cantileverbeam_acc50Hz.csv', header=0)\n",
- "\n",
- "t = np.array(df['time']) #\n",
- "dat = np.array(df['acceleration']) #\n",
- "\n",
- "N = len(t)\n",
- "\n",
- "# observation record length (as N * dt, according to sample-and-hold convention)\n",
- "T = (t[N-1] - t[0]) * N / (N - 1)\n",
- "dt = T / N\n",
- "plt.figure()\n",
- "plt.plot(t, dat, color='b', label='acceleration signal')\n",
- "plt.xlabel('time [s]')\n",
- "plt.ylabel('acceleration [m/s2]')\n",
- "plt.title('Vertical cantilever beam acceleration')\n",
- "plt.legend()\n",
- "\n",
- "### SOLUTION\n",
- "\n",
- "#detrend data\n",
- "A = np.column_stack((np.ones(N), t - t[0]))\n",
- "\n",
- "#xhat = np.linalg.lstsq(A, dat, rcond=None)[0]\n",
- "xhat = np.linalg.inv((A.T)@A)@A.T@dat\n",
- "yhat = A@xhat\n",
- "ehat = dat - yhat\n",
- "\n",
- "plt.figure()\n",
- "plt.plot(t, ehat, color='b', label='detrended signal')\n",
- "plt.xlabel('time [s]')\n",
- "plt.ylabel('detrended accelerations [m/s2]')\n",
- "plt.title('Detrended vertical cantilever beam acceleration')\n",
- "plt.legend();"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**In addition to the code output above, write your answer in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#FAE99E; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\">\n",
- "<p>\n",
- "<b>Solution:</b> \n",
- "\n",
- "The mean is $-0.43$ m/s<sup>2</sup>, so that's considerable, and the slope is $-1.3e^{-4}$ m/s<sup>2</sup>, which is pretty much negligible over the duration of this experiment; mean/offset when one forgets to subtract $t[0]$ from the time column in the A-matrix, hence reporting the offset for 00:00h UTC, this is $8.08$ m/s<sup>2</sup>.\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 8:</b> \n",
- "\n",
- "Previously, in Task 3, you computed and plotted the magnitude spectrum $|X_k|$ of a signal for positive frequencies $f>0$ (putting a lot of attention to correctly labelling the horizontal frequency axis of the plot!), and now, with the material of Chapter 6 on spectral estimation, you will estimate the power spectral density $S$ of the signal through the periodogram, which is just: $S(k\\Delta f)=\\frac{|X_k|^2}{T}$ (in [W/Hz] when $x_n$ is a voltage signal; and $|X_k|$ being the result straight from the <code>np.fft</code>, multiplied by sampling interval $\\Delta t$), for frequency $k\\Delta f$, with frequency resolution $\\Delta f=\\frac{1}{T}$, and $k=0,…,N-1$ (hence, pretty much the same procedure as with the magnitude spectrum, though just taking the square of the modulus, and dividing by $T$).\n",
- "\n",
- "Compute and plot the periodogram for the detrended accelerometer measurements of Task 7 (if you prefer, feel free to use a linear scaling of the axes here, rather a log-log, and, use $T$ as defined already in the code of Task 7). Please, pay attention to correctly labelling the axes, and stating dimensions of the quantities along the axes!\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 15,
- "metadata": {},
- "outputs": [
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "50.0\n",
- "0.0033331111259249386\n",
- "[-24.99833344 -24.99500033 -24.99166722 ... 24.99166722 24.99500033\n",
- " 24.99833344]\n",
- "[-6.43751719e-14+3.12638804e-15j 3.67542391e-01-1.20851972e+00j\n",
- " -2.53291804e+00+1.78096365e-01j ... -2.52083697e-01-2.44469498e+00j\n",
- " -2.53291804e+00-1.78096365e-01j 3.67542391e-01+1.20851972e+00j]\n"
- ]
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 640x480 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "### SOLUTION\n",
- "\n",
- "#estimate and plot power spectral density (PSD)\n",
- "# in this solution code we use np.fft (rather than scipy.fft), and we actually compute and plot a (symmetric) \n",
- "#two-sided PSD-estimate (using also the fftshift), as we like to (optionally) compare it with the Python \n",
- "#built-in periodogram\n",
- "\n",
- "Fs = 1 / dt\n",
- "f0 = 1 / T\n",
- "print(Fs)\n",
- "print(f0)\n",
- "\n",
- "f = np.concatenate((np.arange(-Fs / 2 + f0 / 2, 0, f0), np.arange(0, Fs / 2, f0)))\n",
- "print(f)\n",
- "\n",
- "Z = np.fft.fft(ehat) * dt\n",
- "psd = (np.abs(Z))**2/T \n",
- "plt.figure()\n",
- "plt.plot(f,np.fft.fftshift(psd), color='b', label='psd')\n",
- "print(Z)\n",
- "plt.xlabel('frequency [Hz]')\n",
- "plt.ylabel('PSD [m2/s4/Hz]')\n",
- "plt.title('Power Spectral Density (PSD)')\n",
- "plt.legend();"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 9:</b> \n",
- "\n",
- "Answer the following questions:\n",
- "<ol>\n",
- " <li>Report the damped natural frequency (in Hertz) of this one-degree-of-freedom (1DOF) mechanical system. Does it match the motion of the beam shown in the cantilever-beam video?</li>\n",
- " <li>The acceleration was measured at quite a high sample rate of $50$ Hz. What is the minimum sampling frequency to correctly identify the damped natural frequency in the periodogram?</li>\n",
- "</ol>\n",
- "<p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Write your answer(s) in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#FAE99E; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\">\n",
- "<p>\n",
- "<b>Solution:</b> \n",
- "<ol>\n",
- " <li>Around $1.36$ Hz, and yes, this matches the motion in the video.</li>\n",
- " <li>Nyquist rate is twice the (highest) frequency in the signal, hence $2 \\times 1.36 = 2.72$ Hz, so, any value larger than $2.72$ Hz.</li>\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "## Task 10: Global Mean Sea-Level (GMSL) data (optional)\n",
- "\n",
- "Repeat the steps with Tasks 7-9, but now with the Global Mean Sea Level data set. Data is from the Australia's National Science Agency (CSIRO): [GMSL data](https://www.cmar.csiro.au/sealevel/sl_hist_last_decades.html). \n",
- "\n",
- "These data result from nearly 3 decades of satellite altimetry (with satellite missions such as TOPEX/Poseidon and the Jason-series). The first column contains the time tag or epoch (in decimal years), the second column is the global mean sea level (in mm). There is one measurement per month (monthly average, so that for instance tide-effects are averaged out, and the measurement typically refers to the middle of the month, hence 1993.042 is mid January in 1993). The single monthly measurement is the global mean sea level, so, the average of the entire world.\n",
- "\n",
- "The sampling frequency $f_s = 12$ per year ($\\Delta t = 1/12 \\sim 0.083$ year), and there are $N=331$ measurements in total."
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 16,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/html": [
- "<div>\n",
- "<style scoped>\n",
- " .dataframe tbody tr th:only-of-type {\n",
- " vertical-align: middle;\n",
- " }\n",
- "\n",
- " .dataframe tbody tr th {\n",
- " vertical-align: top;\n",
- " }\n",
- "\n",
- " .dataframe thead th {\n",
- " text-align: right;\n",
- " }\n",
- "</style>\n",
- "<table border=\"1\" class=\"dataframe\">\n",
- " <thead>\n",
- " <tr style=\"text-align: right;\">\n",
- " <th></th>\n",
- " <th>month</th>\n",
- " <th>sl</th>\n",
- " </tr>\n",
- " </thead>\n",
- " <tbody>\n",
- " <tr>\n",
- " <th>0</th>\n",
- " <td>1993.042</td>\n",
- " <td>-48.7</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>1</th>\n",
- " <td>1993.125</td>\n",
- " <td>-52.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>2</th>\n",
- " <td>1993.208</td>\n",
- " <td>-44.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>3</th>\n",
- " <td>1993.292</td>\n",
- " <td>-50.4</td>\n",
- " </tr>\n",
- " <tr>\n",
- " <th>4</th>\n",
- " <td>1993.375</td>\n",
- " <td>-46.3</td>\n",
- " </tr>\n",
- " </tbody>\n",
- "</table>\n",
- "</div>"
- ],
- "text/plain": [
- " month sl\n",
- "0 1993.042 -48.7\n",
- "1 1993.125 -52.4\n",
- "2 1993.208 -44.4\n",
- "3 1993.292 -50.4\n",
- "4 1993.375 -46.3"
- ]
- },
- "execution_count": 16,
- "metadata": {},
- "output_type": "execute_result"
- }
- ],
- "source": [
- "data = pd.read_csv('CSIRO_Alt_seas_inc.txt', names=['month', 'sl'])\n",
- "data.head()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 18,
- "metadata": {},
- "outputs": [
- {
- "data": {
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",
- "text/plain": [
- "<Figure size 640x480 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "# create time-array, time relative to t0 [yr] (epoch-time of the first observation;\n",
- "# t0=1993.042 refers to mid January 1993)\n",
- "t = data.iloc[:, 0] - data.iloc[0, 0]\n",
- "\n",
- "# number of observations\n",
- "N = len(t)\n",
- "\n",
- "# observation record length (as N * dt, according to sample-and-hold convention)\n",
- "T = (t[N - 1] - t[0]) * N / (N - 1)\n",
- "\n",
- "# Delta t [yr]; dt = T/N = (N*dt)/N\n",
- "dt = T / N\n",
- "\n",
- "# observed sea-level height\n",
- "y = data.iloc[:,1]\n",
- "\n",
- "# plot observed time-series, as it is, versus epoch-time in [year]\n",
- "plt.plot(data.iloc[:,0],y, color='b', label='sea level')\n",
- "plt.xlabel('time [yr]')\n",
- "plt.ylabel('sea-level height [mm]')\n",
- "plt.title('Global Mean Sea-Level (GMSL) rise')\n",
- "plt.legend();"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>Task 10 (Optional!):</b> \n",
- "\n",
- "Detrend the data. \n",
- "\n",
- "Estimate and plot power spectral density (PSD), hence the periodogram, for the (detrended) global mean sea-level data. \n",
- "\n",
- "Identify the largest peak in the spectrum, what is the frequency, and can you come up with a physical explanation of this behaviour?\n",
- "</ol>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": null,
- "metadata": {},
- "outputs": [],
- "source": [
- "YOUR_CODE_HERE"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 19,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "text/plain": [
- "<matplotlib.legend.Legend at 0x181d3d592b0>"
- ]
- },
- "execution_count": 19,
- "metadata": {},
- "output_type": "execute_result"
- },
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 640x480 with 1 Axes>"
- ]
- },
- "metadata": {},
- "output_type": "display_data"
- }
- ],
- "source": [
- "### SOLUTION\n",
- "\n",
- "# prepare for detrending the data, we'll estimate an offset and a slope (two unknown parameters)\n",
- "A = np.ones((N, 2))\n",
- "A[:,1] = t\n",
- "\n",
- "# (unweighted) least-squares estimation of two parameters\n",
- "xhat = (np.linalg.inv(A.T @ A) @ A.T) @ y\n",
- "\n",
- "# estimated observations (fitted by a straight line with offset and slope)\n",
- "yhat = A @ xhat\n",
- "\n",
- "# difference of observed value and estimated observation (least-squares residuals)\n",
- "ehat = y - yhat\n",
- "\n",
- "# hence observed time-series but detrended, this will act as our signal x(t), or x_0,...,x_{N-1}\n",
- "plt.plot(data.iloc[:,0], ehat, color='b', label='detrended signal')\n",
- "plt.xlabel('time [yr]')\n",
- "plt.ylabel('detrended sea-level height [mm]')\n",
- "plt.title('Detrened Global Mean Sea-Level')\n",
- "plt.legend()"
- ]
- },
- {
- "cell_type": "code",
- "execution_count": 20,
- "metadata": {},
- "outputs": [
- {
- "data": {
- "image/png": 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",
- "text/plain": [
- "<Figure size 640x480 with 1 Axes>"
- ]
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- "source": [
- "### SOLUTION\n",
- "\n",
- "# sampling frequency [Hz]\n",
- "Fs = 1 / dt\n",
- "\n",
- "# observed signal to length NFFT ( record length is NFFT*dt)\n",
- "NFFT = N\n",
- "\n",
- "# Discrete Fourier Transform (DFT) by fft, to NFFT samples\n",
- "# and multiply by Delta t (as to maintain analogy with continuous-time Fourier transform)\n",
- "X = dt * np.fft.fft(ehat, NFFT)\n",
- "\n",
- "# frequency resolution\n",
- "f0 = 1 / (NFFT * dt)\n",
- "\n",
- "# frequency array (centered at f=0, and conform fftshift) for NFFT even, covers interval [-Fs/2,Fs/2)\n",
- "#f = np.concatenate((np.arange(- Fs / 2, 0, f0), np.arange(0, Fs / 2 , f0))); #+ f0/4\n",
- "f = np.concatenate((np.arange(-Fs / 2 + f0 / 2, 0, f0), np.arange(0, Fs / 2 , f0))) #- f0 / 4 \n",
- "\n",
- "\n",
- "# for NFFT odd, use instead: f=np.concatenate((np.arange(-Fs/2 + f0/2, 0, f0), np.arange(0, Fs/2, f0))); covers interval (-Fs/2,Fs/2)\n",
- "#|Xk|^2 / T periodogram (centered, with f=0 in the center), division by T, which is actual data record length\n",
- "plt.plot(f, np.fft.fftshift((abs(X))**2 / T), color='b', label='psd')\n",
- "plt.xlabel(r'frequency [$yr^{-1}$]')\n",
- "plt.ylabel(r'PSD [$mm^2$ yr]')\n",
- "plt.title('Power Spectral Density of GMSL data')\n",
- "plt.legend();"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**Write your answer(s) in this Markdown cell.** "
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#FAE99E; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\">\n",
- "<p>\n",
- "<b>Solution:</b> \n",
- "\n",
- "The largest peak is $f = 0.996$/ year, hence the annual cycle, related to summer and winter, there is also a peak at $f = 1.992$/year, hence the double frequency (related to a half year cycle), and this one typically shows up if the once per year periodic cycle is not a perfect harmonic (sine or cosine), but instead a bit distorted/skewed, finally, there is also a large peak at $f = \\frac{1}{T} = 0.0362$/year, a long term effect, which implies a cycle with the duration of the entire data set, which here seems just coincidence, that a full cycle occurs in $T=27.58$ years.\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#AABAB2; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%;\">\n",
- "<p>\n",
- "<b>End of task.</b>\n",
- "</p>\n",
- "</div>"
- ]
- },
- {
- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "<div style=\"background-color:#C8FFFF; color: black; vertical-align: middle; padding:15px; margin: 10px; border-radius: 10px; width: 95%\">\n",
- "<p>\n",
- "<b>Appendix A: Cantilever-beam dynamics:</b> \n",
- "\n",
- "The dynamics of the smartphone suspended on a cantilever beam can be considered as the mass-spring-damper system shown below:\n",
- "\n",
- "<img src=\"https://gitlab.com/JelleKnibbe/public-files/-/raw/main/SP_Practical/mass_spring_damper.png\" style=\"margin:auto\" width=200/>\n",
- "\n",
- "The equation of motion of the deflection $x$ of this mass-spring-damper system (a damped harmonic oscillator) can be described by the following second order differential equation:\n",
- "\n",
- "$$\n",
- "\\ddot{x}(t) + \\frac{c}{m} \\dot{x}(t) + \\frac{k}{m} x(t) =0\n",
- "$$\n",
- "\n",
- "Where $\\ddot{x}(t)$, $\\dot{x}(t)$ and $x(t)$ are the acceleration, velocity and displacement as a function of time of the oscillating mass $m$ [kg] respectively. (with a unit transfer function, $x(t)$ describes the motion of the proof mass inside the smartphone accelerometer). For simplicity, we consider here the homogeneous equation, corresponding to free motion. The other parameters are the damping coefficient $c$ [kg/s] and spring constant $k$ [N/m]. The damping ratio can be obtained from the system parameters: $\\zeta = \\frac{c}{2 \\sqrt{mk}}$, which is dimensionless. The undamped natural frequency is $\\omega_0 = \\sqrt{\\frac{k}{m}}$ [rad/s]. The differential equation becomes:\n",
- "\n",
- "$$\n",
- "\\ddot{x}(t) + 2 \\zeta \\omega_0 \\dot{x}(t) + \\omega_0^2 x(t) =0\n",
- "$$\n",
- "\n",
- "For the under-damped case ($0 \\le \\zeta \\le 1)$ of our smartphone and assuming an initial zero tip velocity $\\dot{x}(t=0)=0$ (release from stand-still), the solution for the position as a function of time is given by:\n",
- "\n",
- "$$\n",
- "x(t)=e^{-\\zeta \\omega_0 t} \\frac{x(0)}{\\sqrt{1-\\zeta^2}}\\sin(\\omega_d t + \\varphi)\n",
- "$$\n",
- "\n",
- "Where $x(0)$ is the initial position $x(t=0)$, $\\omega_d$ is the damped natural frequency $\\omega_d = \\omega_0 \\sqrt{1-\\zeta^2}$, and the phase shift $\\varphi = \\arctan \\left( \\frac{\\sqrt{1-\\zeta^2}}{\\zeta} \\right)$. The sinusoid term represents the harmonic motion, and the exponential term represents the damping of that motion over time. Next, the velocity of the smartphone's oscillation can be derived as:\n",
- "\n",
- "$\\dot{x}(t) = e^{-\\zeta \\omega_0 t} \\frac{x(0)}{\\sqrt{1-\\zeta^2}}\\sin(\\omega_d t)$.\n",
- "\n",
- "The acceleration of the smartphone (which is what is being measured) is found as:\n",
- "\n",
- "$\\ddot{x}(t) = e^{-\\zeta \\omega_0 t} \\frac{x(0)}{\\sqrt{1-\\zeta^2}} \\sin (\\omega_d t - \\phi)$.\n",
- "\n",
- "Note that $\\omega_0$ and $\\omega_d$ are the angular frequencies expressed in radians per second. $\\ddot{x}(t)$ is a damped harmonic signal where the rate of damping is determined by the damping ratio $\\zeta$.\n",
- "\n",
- "In order to get a pure harmonic signal (as used in Tasks 1 to 5), set the damping ratio $\\zeta=0$, and optionally set the phase-shift $\\phi$ to zero as well, then the tip acceleration is given by the following simple sinusoidal expression:\n",
- "\n",
- "$$\n",
- "\\ddot{x}(t)=x(0) \\sin(\\omega_0 t).\n",
- "$$\n",
- "</p>\n",
- "</div>"
- ]
- },
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- "cell_type": "markdown",
- "metadata": {},
- "source": [
- "**End of notebook.**\n",
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- " article { position: relative }\n",
- " </style>\n",
- " <a rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\">\n",
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- " </a>\n",
- " <a rel=\"TU Delft\" href=\"https://www.tudelft.nl/en/ceg\">\n",
- " <img alt=\"TU Delft\" style=\"border-width:0; width:100px; height:auto; padding-bottom:0px\" src=\"https://gitlab.tudelft.nl/mude/public/-/raw/main/tu-logo/TU_P1_full-color.png\" />\n",
- " </a>\n",
- " <a rel=\"MUDE\" href=\"http://mude.citg.tudelft.nl/\">\n",
- " <img alt=\"MUDE\" style=\"border-width:0; width:100px; height:auto; padding-bottom:0px\" src=\"https://gitlab.tudelft.nl/mude/public/-/raw/main/mude-logo/MUDE_Logo-small.png\" />\n",
- " </a>\n",
- " \n",
- "</h3>\n",
- "<span style=\"font-size: 75%\">\n",
- "© Copyright 2024 <a rel=\"MUDE\" href=\"http://mude.citg.tudelft.nl/\">MUDE</a> TU Delft. This work is licensed under a <a rel=\"license\" href=\"http://creativecommons.org/licenses/by/4.0/\">CC BY 4.0 License</a>."
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+
+.lm-DockPanel-handle.lm-mod-hidden {
+ display: none !important;
+}
+
+.lm-DockPanel-handle:after {
+ position: absolute;
+ top: 0;
+ left: 0;
+ width: 100%;
+ height: 100%;
+ content: '';
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal'] {
+ cursor: ew-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='vertical'] {
+ cursor: ns-resize;
+}
+
+.lm-DockPanel-handle[data-orientation='horizontal']:after {
+ left: 50%;
+ min-width: 8px;
+ transform: translateX(-50%);
+}
+
+.lm-DockPanel-handle[data-orientation='vertical']:after {
+ top: 50%;
+ min-height: 8px;
+ transform: translateY(-50%);
+}
+
+.lm-DockPanel-overlay {
+ z-index: 3;
+ box-sizing: border-box;
+ pointer-events: none;
+}
+
+.lm-DockPanel-overlay.lm-mod-hidden {
+ display: none !important;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-Menu {
+ z-index: 10000;
+ position: absolute;
+ white-space: nowrap;
+ overflow-x: hidden;
+ overflow-y: auto;
+ outline: none;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.lm-Menu-content {
+ margin: 0;
+ padding: 0;
+ display: table;
+ list-style-type: none;
+}
+
+.lm-Menu-item {
+ display: table-row;
+}
+
+.lm-Menu-item.lm-mod-hidden,
+.lm-Menu-item.lm-mod-collapsed {
+ display: none !important;
+}
+
+.lm-Menu-itemIcon,
+.lm-Menu-itemSubmenuIcon {
+ display: table-cell;
+ text-align: center;
+}
+
+.lm-Menu-itemLabel {
+ display: table-cell;
+ text-align: left;
+}
+
+.lm-Menu-itemShortcut {
+ display: table-cell;
+ text-align: right;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-MenuBar {
+ outline: none;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.lm-MenuBar-content {
+ margin: 0;
+ padding: 0;
+ display: flex;
+ flex-direction: row;
+ list-style-type: none;
+}
+
+.lm-MenuBar-item {
+ box-sizing: border-box;
+}
+
+.lm-MenuBar-itemIcon,
+.lm-MenuBar-itemLabel {
+ display: inline-block;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-ScrollBar {
+ display: flex;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.lm-ScrollBar[data-orientation='horizontal'] {
+ flex-direction: row;
+}
+
+.lm-ScrollBar[data-orientation='vertical'] {
+ flex-direction: column;
+}
+
+.lm-ScrollBar-button {
+ box-sizing: border-box;
+ flex: 0 0 auto;
+}
+
+.lm-ScrollBar-track {
+ box-sizing: border-box;
+ position: relative;
+ overflow: hidden;
+ flex: 1 1 auto;
+}
+
+.lm-ScrollBar-thumb {
+ box-sizing: border-box;
+ position: absolute;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-SplitPanel-child {
+ z-index: 0;
+}
+
+.lm-SplitPanel-handle {
+ z-index: 1;
+}
+
+.lm-SplitPanel-handle.lm-mod-hidden {
+ display: none !important;
+}
+
+.lm-SplitPanel-handle:after {
+ position: absolute;
+ top: 0;
+ left: 0;
+ width: 100%;
+ height: 100%;
+ content: '';
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle {
+ cursor: ew-resize;
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle {
+ cursor: ns-resize;
+}
+
+.lm-SplitPanel[data-orientation='horizontal'] > .lm-SplitPanel-handle:after {
+ left: 50%;
+ min-width: 8px;
+ transform: translateX(-50%);
+}
+
+.lm-SplitPanel[data-orientation='vertical'] > .lm-SplitPanel-handle:after {
+ top: 50%;
+ min-height: 8px;
+ transform: translateY(-50%);
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar {
+ display: flex;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] {
+ flex-direction: row;
+ align-items: flex-end;
+}
+
+.lm-TabBar[data-orientation='vertical'] {
+ flex-direction: column;
+ align-items: flex-end;
+}
+
+.lm-TabBar-content {
+ margin: 0;
+ padding: 0;
+ display: flex;
+ flex: 1 1 auto;
+ list-style-type: none;
+}
+
+.lm-TabBar[data-orientation='horizontal'] > .lm-TabBar-content {
+ flex-direction: row;
+}
+
+.lm-TabBar[data-orientation='vertical'] > .lm-TabBar-content {
+ flex-direction: column;
+}
+
+.lm-TabBar-tab {
+ display: flex;
+ flex-direction: row;
+ box-sizing: border-box;
+ overflow: hidden;
+ touch-action: none; /* Disable native Drag/Drop */
+}
+
+.lm-TabBar-tabIcon,
+.lm-TabBar-tabCloseIcon {
+ flex: 0 0 auto;
+}
+
+.lm-TabBar-tabLabel {
+ flex: 1 1 auto;
+ overflow: hidden;
+ white-space: nowrap;
+}
+
+.lm-TabBar-tabInput {
+ user-select: all;
+ width: 100%;
+ box-sizing: border-box;
+}
+
+.lm-TabBar-tab.lm-mod-hidden {
+ display: none !important;
+}
+
+.lm-TabBar-addButton.lm-mod-hidden {
+ display: none !important;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab {
+ position: relative;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='horizontal'] .lm-TabBar-tab {
+ left: 0;
+ transition: left 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging[data-orientation='vertical'] .lm-TabBar-tab {
+ top: 0;
+ transition: top 150ms ease;
+}
+
+.lm-TabBar.lm-mod-dragging .lm-TabBar-tab.lm-mod-dragging {
+ transition: none;
+}
+
+.lm-TabBar-tabLabel .lm-TabBar-tabInput {
+ user-select: all;
+ width: 100%;
+ box-sizing: border-box;
+ background: inherit;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-TabPanel-tabBar {
+ z-index: 1;
+}
+
+.lm-TabPanel-stackedPanel {
+ z-index: 0;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapse {
+ display: flex;
+ flex-direction: column;
+ align-items: stretch;
+}
+
+.jp-Collapse-header {
+ padding: 1px 12px;
+ background-color: var(--jp-layout-color1);
+ border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+ color: var(--jp-ui-font-color1);
+ cursor: pointer;
+ display: flex;
+ align-items: center;
+ font-size: var(--jp-ui-font-size0);
+ font-weight: 600;
+ text-transform: uppercase;
+ user-select: none;
+}
+
+.jp-Collapser-icon {
+ height: 16px;
+}
+
+.jp-Collapse-header-collapsed .jp-Collapser-icon {
+ transform: rotate(-90deg);
+ margin: auto 0;
+}
+
+.jp-Collapser-title {
+ line-height: 25px;
+}
+
+.jp-Collapse-contents {
+ padding: 0 12px;
+ background-color: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ overflow: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* This file was auto-generated by ensureUiComponents() in @jupyterlab/buildutils */
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+/* Icons urls */
+
+:root {
+ --jp-icon-add-above: url(data:image/svg+xml;base64,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);
+ --jp-icon-add-below: url(data:image/svg+xml;base64,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);
+ --jp-icon-add: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE5IDEzaC02djZoLTJ2LTZINXYtMmg2VjVoMnY2aDZ2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-bell: url(data:image/svg+xml;base64,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);
+ --jp-icon-bug-dot: url(data:image/svg+xml;base64,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);
+ --jp-icon-bug: url(data:image/svg+xml;base64,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);
+ --jp-icon-build: url(data:image/svg+xml;base64,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);
+ --jp-icon-caret-down-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iOS45LDEzLjYgMy42LDcuNCA0LjQsNi42IDkuOSwxMi4yIDE1LjQsNi43IDE2LjEsNy40ICIvPgoJPC9nPgo8L3N2Zz4K);
+ --jp-icon-caret-down-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNS45TDksOS43bDMuOC0zLjhsMS4yLDEuMmwtNC45LDVsLTQuOS01TDUuMiw1Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-caret-down: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik01LjIsNy41TDksMTEuMmwzLjgtMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-caret-left: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik0xMC44LDEyLjhMNy4xLDlsMy44LTMuOGwwLDcuNkgxMC44eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-caret-right: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiIHNoYXBlLXJlbmRlcmluZz0iZ2VvbWV0cmljUHJlY2lzaW9uIj4KICAgIDxwYXRoIGQ9Ik03LjIsNS4yTDEwLjksOWwtMy44LDMuOFY1LjJINy4yeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-caret-up-empty-thin: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwb2x5Z29uIGNsYXNzPSJzdDEiIHBvaW50cz0iMTUuNCwxMy4zIDkuOSw3LjcgNC40LDEzLjIgMy42LDEyLjUgOS45LDYuMyAxNi4xLDEyLjYgIi8+Cgk8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-caret-up: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSIgc2hhcGUtcmVuZGVyaW5nPSJnZW9tZXRyaWNQcmVjaXNpb24iPgoJCTxwYXRoIGQ9Ik01LjIsMTAuNUw5LDYuOGwzLjgsMy44SDUuMnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-case-sensitive: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KICA8ZyBjbGFzcz0ianAtaWNvbjIiIGZpbGw9IiM0MTQxNDEiPgogICAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiAgPC9nPgogIDxnIGNsYXNzPSJqcC1pY29uLWFjY2VudDIiIGZpbGw9IiNGRkYiPgogICAgPHBhdGggZD0iTTcuNiw4aDAuOWwzLjUsOGgtMS4xTDEwLDE0SDZsLTAuOSwySDRMNy42LDh6IE04LDkuMUw2LjQsMTNoMy4yTDgsOS4xeiIvPgogICAgPHBhdGggZD0iTTE2LjYsOS44Yy0wLjIsMC4xLTAuNCwwLjEtMC43LDAuMWMtMC4yLDAtMC40LTAuMS0wLjYtMC4yYy0wLjEtMC4xLTAuMi0wLjQtMC4yLTAuNyBjLTAuMywwLjMtMC42LDAuNS0wLjksMC43Yy0wLjMsMC4xLTAuNywwLjItMS4xLDAuMmMtMC4zLDAtMC41LDAtMC43LTAuMWMtMC4yLTAuMS0wLjQtMC4yLTAuNi0wLjNjLTAuMi0wLjEtMC4zLTAuMy0wLjQtMC41IGMtMC4xLTAuMi0wLjEtMC40LTAuMS0wLjdjMC0wLjMsMC4xLTAuNiwwLjItMC44YzAuMS0wLjIsMC4zLTAuNCwwLjQtMC41QzEyLDcsMTIuMiw2LjksMTIuNSw2LjhjMC4yLTAuMSwwLjUtMC4xLDAuNy0wLjIgYzAuMy0wLjEsMC41LTAuMSwwLjctMC4xYzAuMiwwLDAuNC0wLjEsMC42LTAuMWMwLjIsMCwwLjMtMC4xLDAuNC0wLjJjMC4xLTAuMSwwLjItMC4yLDAuMi0wLjRjMC0xLTEuMS0xLTEuMy0xIGMtMC40LDAtMS40LDAtMS40LDEuMmgtMC45YzAtMC40LDAuMS0wLjcsMC4yLTFjMC4xLTAuMiwwLjMtMC40LDAuNS0wLjZjMC4yLTAuMiwwLjUtMC4zLDAuOC0wLjNDMTMuMyw0LDEzLjYsNCwxMy45LDQgYzAuMywwLDAuNSwwLDAuOCwwLjFjMC4zLDAsMC41LDAuMSwwLjcsMC4yYzAuMiwwLjEsMC40LDAuMywwLjUsMC41QzE2LDUsMTYsNS4yLDE2LDUuNnYyLjljMCwwLjIsMCwwLjQsMCwwLjUgYzAsMC4xLDAuMSwwLjIsMC4zLDAuMmMwLjEsMCwwLjIsMCwwLjMsMFY5Ljh6IE0xNS4yLDYuOWMtMS4yLDAuNi0zLjEsMC4yLTMuMSwxLjRjMCwxLjQsMy4xLDEsMy4xLTAuNVY2Ljl6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-check: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik05IDE2LjE3TDQuODMgMTJsLTEuNDIgMS40MUw5IDE5IDIxIDdsLTEuNDEtMS40MXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-circle-empty: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDJDNi40NyAyIDIgNi40NyAyIDEyczQuNDcgMTAgMTAgMTAgMTAtNC40NyAxMC0xMFMxNy41MyAyIDEyIDJ6bTAgMThjLTQuNDEgMC04LTMuNTktOC04czMuNTktOCA4LTggOCAzLjU5IDggOC0zLjU5IDgtOCA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-clear: url(data:image/svg+xml;base64,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);
+ --jp-icon-close: url(data:image/svg+xml;base64,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);
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+ --jp-icon-file-upload: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTkgMTZoNnYtNmg0bC03LTctNyA3aDR6bS00IDJoMTR2Mkg1eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-file: url(data:image/svg+xml;base64,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);
+ --jp-icon-filter-dot: url(data:image/svg+xml;base64,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);
+ --jp-icon-filter-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEwIDE4aDR2LTJoLTR2MnpNMyA2djJoMThWNkgzem0zIDdoMTJ2LTJINnYyeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-filter: url(data:image/svg+xml;base64,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);
+ --jp-icon-folder-favorite: url(data:image/svg+xml;base64,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);
+ --jp-icon-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY4YzAtMS4xLS45LTItMi0yaC04bC0yLTJ6Ii8+Cjwvc3ZnPgo=);
+ --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
+ --jp-icon-html5: url(data:image/svg+xml;base64,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);
+ --jp-icon-image: url(data:image/svg+xml;base64,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);
+ --jp-icon-info: url(data:image/svg+xml;base64,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);
+ --jp-icon-inspector: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaW5zcGVjdG9yLWljb24tY29sb3IganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNEg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMThjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY2YzAtMS4xLS45LTItMi0yem0tNSAxNEg0di00aDExdjR6bTAtNUg0VjloMTF2NHptNSA1aC00VjloNHY5eiIvPgo8L3N2Zz4K);
+ --jp-icon-json: url(data:image/svg+xml;base64,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);
+ --jp-icon-julia: url(data:image/svg+xml;base64,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);
+ --jp-icon-jupyter-favicon: url(data:image/svg+xml;base64,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);
+ --jp-icon-jupyter: url(data:image/svg+xml;base64,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);
+ --jp-icon-jupyterlab-wordmark: 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+ --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+ --jp-icon-keyboard: url(data:image/svg+xml;base64,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);
+ --jp-icon-launch: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMzIgMzIiIHdpZHRoPSIzMiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIj4KICAgIDxwYXRoIGQ9Ik0yNiwyOEg2YTIuMDAyNywyLjAwMjcsMCwwLDEtMi0yVjZBMi4wMDI3LDIuMDAyNywwLDAsMSw2LDRIMTZWNkg2VjI2SDI2VjE2aDJWMjZBMi4wMDI3LDIuMDAyNywwLDAsMSwyNiwyOFoiLz4KICAgIDxwb2x5Z29uIHBvaW50cz0iMjAgMiAyMCA0IDI2LjU4NiA0IDE4IDEyLjU4NiAxOS40MTQgMTQgMjggNS40MTQgMjggMTIgMzAgMTIgMzAgMiAyMCAyIi8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-launcher: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkgMTlINVY1aDdWM0g1YTIgMiAwIDAwLTIgMnYxNGEyIDIgMCAwMDIgMmgxNGMxLjEgMCAyLS45IDItMnYtN2gtMnY3ek0xNCAzdjJoMy41OWwtOS44MyA5LjgzIDEuNDEgMS40MUwxOSA2LjQxVjEwaDJWM2gtN3oiLz4KPC9zdmc+Cg==);
+ --jp-icon-line-form: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGZpbGw9IndoaXRlIiBkPSJNNS44OCA0LjEyTDEzLjc2IDEybC03Ljg4IDcuODhMOCAyMmwxMC0xMEw4IDJ6Ii8+Cjwvc3ZnPgo=);
+ --jp-icon-link: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTMuOSAxMmMwLTEuNzEgMS4zOS0zLjEgMy4xLTMuMWg0VjdIN2MtMi43NiAwLTUgMi4yNC01IDVzMi4yNCA1IDUgNWg0di0xLjlIN2MtMS43MSAwLTMuMS0xLjM5LTMuMS0zLjF6TTggMTNoOHYtMkg4djJ6bTktNmgtNHYxLjloNGMxLjcxIDAgMy4xIDEuMzkgMy4xIDMuMXMtMS4zOSAzLjEtMy4xIDMuMWgtNFYxN2g0YzIuNzYgMCA1LTIuMjQgNS01cy0yLjI0LTUtNS01eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-list: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xOSA1djE0SDVWNWgxNG0xLjEtMkgzLjljLS41IDAtLjkuNC0uOS45djE2LjJjMCAuNC40LjkuOS45aDE2LjJjLjQgMCAuOS0uNS45LS45VjMuOWMwLS41LS41LS45LS45LS45ek0xMSA3aDZ2MmgtNlY3em0wIDRoNnYyaC02di0yem0wIDRoNnYyaC02ek03IDdoMnYySDd6bTAgNGgydjJIN3ptMCA0aDJ2Mkg3eiIvPgo8L3N2Zz4K);
+ --jp-icon-markdown: url(data:image/svg+xml;base64,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);
+ --jp-icon-move-down: url(data:image/svg+xml;base64,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);
+ --jp-icon-move-up: url(data:image/svg+xml;base64,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);
+ --jp-icon-new-folder: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIwIDZoLThsLTItMkg0Yy0xLjExIDAtMS45OS44OS0xLjk5IDJMMiAxOGMwIDEuMTEuODkgMiAyIDJoMTZjMS4xMSAwIDItLjg5IDItMlY4YzAtMS4xMS0uODktMi0yLTJ6bS0xIDhoLTN2M2gtMnYtM2gtM3YtMmgzVjloMnYzaDN2MnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-not-trusted: url(data:image/svg+xml;base64,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);
+ --jp-icon-notebook: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtbm90ZWJvb2staWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNFRjZDMDAiPgogICAgPHBhdGggZD0iTTE4LjcgMy4zdjE1LjRIMy4zVjMuM2gxNS40bTEuNS0xLjVIMS44djE4LjNoMTguM2wuMS0xOC4zeiIvPgogICAgPHBhdGggZD0iTTE2LjUgMTYuNWwtNS40LTQuMy01LjYgNC4zdi0xMWgxMXoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-numbering: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTQgMTlINlYxOS41SDVWMjAuNUg2VjIxSDRWMjJIN1YxOEg0VjE5Wk01IDEwSDZWNkg0VjdINVYxMFpNNCAxM0g1LjhMNCAxNS4xVjE2SDdWMTVINS4yTDcgMTIuOVYxMkg0VjEzWk05IDdWOUgyM1Y3SDlaTTkgMjFIMjNWMTlIOVYyMVpNOSAxNUgyM1YxM0g5VjE1WiIvPgoJPC9nPgo8L3N2Zz4K);
+ --jp-icon-offline-bolt: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyIDIuMDJjLTUuNTEgMC05Ljk4IDQuNDctOS45OCA5Ljk4czQuNDcgOS45OCA5Ljk4IDkuOTggOS45OC00LjQ3IDkuOTgtOS45OFMxNy41MSAyLjAyIDEyIDIuMDJ6TTExLjQ4IDIwdi02LjI2SDhMMTMgNHY2LjI2aDMuMzVMMTEuNDggMjB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-palette: url(data:image/svg+xml;base64,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);
+ --jp-icon-paste: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE5IDJoLTQuMThDMTQuNC44NCAxMy4zIDAgMTIgMGMtMS4zIDAtMi40Ljg0LTIuODIgMkg1Yy0xLjEgMC0yIC45LTIgMnYxNmMwIDEuMS45IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjRjMC0xLjEtLjktMi0yLTJ6bS03IDBjLjU1IDAgMSAuNDUgMSAxcy0uNDUgMS0xIDEtMS0uNDUtMS0xIC40NS0xIDEtMXptNyAxOEg1VjRoMnYzaDEwVjRoMnYxNnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-pdf: url(data:image/svg+xml;base64,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);
+ --jp-icon-python: url(data:image/svg+xml;base64,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);
+ --jp-icon-r-kernel: url(data:image/svg+xml;base64,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);
+ --jp-icon-react: url(data:image/svg+xml;base64,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);
+ --jp-icon-redo: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgd2lkdGg9IjE2Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgICA8cGF0aCBkPSJNMCAwaDI0djI0SDB6IiBmaWxsPSJub25lIi8+PHBhdGggZD0iTTE4LjQgMTAuNkMxNi41NSA4Ljk5IDE0LjE1IDggMTEuNSA4Yy00LjY1IDAtOC41OCAzLjAzLTkuOTYgNy4yMkwzLjkgMTZjMS4wNS0zLjE5IDQuMDUtNS41IDcuNi01LjUgMS45NSAwIDMuNzMuNzIgNS4xMiAxLjg4TDEzIDE2aDlWN2wtMy42IDMuNnoiLz4KICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-refresh: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDE4IDE4Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTkgMTMuNWMtMi40OSAwLTQuNS0yLjAxLTQuNS00LjVTNi41MSA0LjUgOSA0LjVjMS4yNCAwIDIuMzYuNTIgMy4xNyAxLjMzTDEwIDhoNVYzbC0xLjc2IDEuNzZDMTIuMTUgMy42OCAxMC42NiAzIDkgMyA1LjY5IDMgMy4wMSA1LjY5IDMuMDEgOVM1LjY5IDE1IDkgMTVjMi45NyAwIDUuNDMtMi4xNiA1LjktNWgtMS41MmMtLjQ2IDItMi4yNCAzLjUtNC4zOCAzLjV6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+ --jp-icon-regex: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KICA8ZyBjbGFzcz0ianAtaWNvbjIiIGZpbGw9IiM0MTQxNDEiPgogICAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiAgPC9nPgoKICA8ZyBjbGFzcz0ianAtaWNvbi1hY2NlbnQyIiBmaWxsPSIjRkZGIj4KICAgIDxjaXJjbGUgY2xhc3M9InN0MiIgY3g9IjUuNSIgY3k9IjE0LjUiIHI9IjEuNSIvPgogICAgPHJlY3QgeD0iMTIiIHk9IjQiIGNsYXNzPSJzdDIiIHdpZHRoPSIxIiBoZWlnaHQ9IjgiLz4KICAgIDxyZWN0IHg9IjguNSIgeT0iNy41IiB0cmFuc2Zvcm09Im1hdHJpeCgwLjg2NiAtMC41IDAuNSAwLjg2NiAtMi4zMjU1IDcuMzIxOSkiIGNsYXNzPSJzdDIiIHdpZHRoPSI4IiBoZWlnaHQ9IjEiLz4KICAgIDxyZWN0IHg9IjEyIiB5PSI0IiB0cmFuc2Zvcm09Im1hdHJpeCgwLjUgLTAuODY2IDAuODY2IDAuNSAtMC42Nzc5IDE0LjgyNTIpIiBjbGFzcz0ic3QyIiB3aWR0aD0iMSIgaGVpZ2h0PSI4Ii8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-run: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTggNXYxNGwxMS03eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-running: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMjU2IDhDMTE5IDggOCAxMTkgOCAyNTZzMTExIDI0OCAyNDggMjQ4IDI0OC0xMTEgMjQ4LTI0OFMzOTMgOCAyNTYgOHptOTYgMzI4YzAgOC44LTcuMiAxNi0xNiAxNkgxNzZjLTguOCAwLTE2LTcuMi0xNi0xNlYxNzZjMC04LjggNy4yLTE2IDE2LTE2aDE2MGM4LjggMCAxNiA3LjIgMTYgMTZ2MTYweiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-save: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTE3IDNINWMtMS4xMSAwLTIgLjktMiAydjE0YzAgMS4xLjg5IDIgMiAyaDE0YzEuMSAwIDItLjkgMi0yVjdsLTQtNHptLTUgMTZjLTEuNjYgMC0zLTEuMzQtMy0zczEuMzQtMyAzLTMgMyAxLjM0IDMgMy0xLjM0IDMtMyAzem0zLTEwSDVWNWgxMHY0eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-search: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjEsMTAuOWgtMC43bC0wLjItMC4yYzAuOC0wLjksMS4zLTIuMiwxLjMtMy41YzAtMy0yLjQtNS40LTUuNC01LjRTMS44LDQuMiwxLjgsNy4xczIuNCw1LjQsNS40LDUuNCBjMS4zLDAsMi41LTAuNSwzLjUtMS4zbDAuMiwwLjJ2MC43bDQuMSw0LjFsMS4yLTEuMkwxMi4xLDEwLjl6IE03LjEsMTAuOWMtMi4xLDAtMy43LTEuNy0zLjctMy43czEuNy0zLjcsMy43LTMuN3MzLjcsMS43LDMuNywzLjcgUzkuMiwxMC45LDcuMSwxMC45eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-settings: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMTkuNDMgMTIuOThjLjA0LS4zMi4wNy0uNjQuMDctLjk4cy0uMDMtLjY2LS4wNy0uOThsMi4xMS0xLjY1Yy4xOS0uMTUuMjQtLjQyLjEyLS42NGwtMi0zLjQ2Yy0uMTItLjIyLS4zOS0uMy0uNjEtLjIybC0yLjQ5IDFjLS41Mi0uNC0xLjA4LS43My0xLjY5LS45OGwtLjM4LTIuNjVBLjQ4OC40ODggMCAwMDE0IDJoLTRjLS4yNSAwLS40Ni4xOC0uNDkuNDJsLS4zOCAyLjY1Yy0uNjEuMjUtMS4xNy41OS0xLjY5Ljk4bC0yLjQ5LTFjLS4yMy0uMDktLjQ5IDAtLjYxLjIybC0yIDMuNDZjLS4xMy4yMi0uMDcuNDkuMTIuNjRsMi4xMSAxLjY1Yy0uMDQuMzItLjA3LjY1LS4wNy45OHMuMDMuNjYuMDcuOThsLTIuMTEgMS42NWMtLjE5LjE1LS4yNC40Mi0uMTIuNjRsMiAzLjQ2Yy4xMi4yMi4zOS4zLjYxLjIybDIuNDktMWMuNTIuNCAxLjA4LjczIDEuNjkuOThsLjM4IDIuNjVjLjAzLjI0LjI0LjQyLjQ5LjQyaDRjLjI1IDAgLjQ2LS4xOC40OS0uNDJsLjM4LTIuNjVjLjYxLS4yNSAxLjE3LS41OSAxLjY5LS45OGwyLjQ5IDFjLjIzLjA5LjQ5IDAgLjYxLS4yMmwyLTMuNDZjLjEyLS4yMi4wNy0uNDktLjEyLS42NGwtMi4xMS0xLjY1ek0xMiAxNS41Yy0xLjkzIDAtMy41LTEuNTctMy41LTMuNXMxLjU3LTMuNSAzLjUtMy41IDMuNSAxLjU3IDMuNSAzLjUtMS41NyAzLjUtMy41IDMuNXoiLz4KPC9zdmc+Cg==);
+ --jp-icon-share: url(data:image/svg+xml;base64,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);
+ --jp-icon-spreadsheet: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1jb250cmFzdDEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNENBRjUwIiBkPSJNMi4yIDIuMnYxNy42aDE3LjZWMi4ySDIuMnptMTUuNCA3LjdoLTUuNVY0LjRoNS41djUuNXpNOS45IDQuNHY1LjVINC40VjQuNGg1LjV6bS01LjUgNy43aDUuNXY1LjVINC40di01LjV6bTcuNyA1LjV2LTUuNWg1LjV2NS41aC01LjV6Ii8+Cjwvc3ZnPgo=);
+ --jp-icon-stop: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik02IDZoMTJ2MTJINnoiLz4KICAgIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-tab: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTIxIDNIM2MtMS4xIDAtMiAuOS0yIDJ2MTRjMCAxLjEuOSAyIDIgMmgxOGMxLjEgMCAyLS45IDItMlY1YzAtMS4xLS45LTItMi0yem0wIDE2SDNWNWgxMHY0aDh2MTB6Ii8+CiAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-table-rows: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMSw4SDNWNGgxOFY4eiBNMjEsMTBIM3Y0aDE4VjEweiBNMjEsMTZIM3Y0aDE4VjE2eiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-tag: url(data:image/svg+xml;base64,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);
+ --jp-icon-terminal: url(data:image/svg+xml;base64,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);
+ --jp-icon-text-editor: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtdGV4dC1lZGl0b3ItaWNvbi1jb2xvciBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xNSAxNUgzdjJoMTJ2LTJ6bTAtOEgzdjJoMTJWN3pNMyAxM2gxOHYtMkgzdjJ6bTAgOGgxOHYtMkgzdjJ6TTMgM3YyaDE4VjNIM3oiLz4KPC9zdmc+Cg==);
+ --jp-icon-toc: url(data:image/svg+xml;base64,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);
+ --jp-icon-tree-view: url(data:image/svg+xml;base64,PHN2ZyBoZWlnaHQ9IjI0IiB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPgogICAgICAgIDxwYXRoIGQ9Ik0yMiAxMVYzaC03djNIOVYzSDJ2OGg3VjhoMnYxMGg0djNoN3YtOGgtN3YzaC0yVjhoMnYzeiIvPgogICAgPC9nPgo8L3N2Zz4K);
+ --jp-icon-trusted: url(data:image/svg+xml;base64,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);
+ --jp-icon-undo: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTEyLjUgOGMtMi42NSAwLTUuMDUuOTktNi45IDIuNkwyIDd2OWg5bC0zLjYyLTMuNjJjMS4zOS0xLjE2IDMuMTYtMS44OCA1LjEyLTEuODggMy41NCAwIDYuNTUgMi4zMSA3LjYgNS41bDIuMzctLjc4QzIxLjA4IDExLjAzIDE3LjE1IDggMTIuNSA4eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-user: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE2IDdhNCA0IDAgMTEtOCAwIDQgNCAwIDAxOCAwek0xMiAxNGE3IDcgMCAwMC03IDdoMTRhNyA3IDAgMDAtNy03eiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-users: url(data:image/svg+xml;base64,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);
+ --jp-icon-vega: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIyIDIyIj4KICA8ZyBjbGFzcz0ianAtaWNvbjEganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjMjEyMTIxIj4KICAgIDxwYXRoIGQ9Ik0xMC42IDUuNGwyLjItMy4ySDIuMnY3LjNsNC02LjZ6Ii8+CiAgICA8cGF0aCBkPSJNMTUuOCAyLjJsLTQuNCA2LjZMNyA2LjNsLTQuOCA4djUuNWgxNy42VjIuMmgtNHptLTcgMTUuNEg1LjV2LTQuNGgzLjN2NC40em00LjQgMEg5LjhWOS44aDMuNHY3Ljh6bTQuNCAwaC0zLjRWNi41aDMuNHYxMS4xeiIvPgogIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-word: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDIwIDIwIj4KIDxnIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzQxNDE0MSI+CiAgPHJlY3QgeD0iMiIgeT0iMiIgd2lkdGg9IjE2IiBoZWlnaHQ9IjE2Ii8+CiA8L2c+CiA8ZyBjbGFzcz0ianAtaWNvbi1hY2NlbnQyIiB0cmFuc2Zvcm09InRyYW5zbGF0ZSguNDMgLjA0MDEpIiBmaWxsPSIjZmZmIj4KICA8cGF0aCBkPSJtNC4xNCA4Ljc2cTAuMDY4Mi0xLjg5IDIuNDItMS44OSAxLjE2IDAgMS42OCAwLjQyIDAuNTY3IDAuNDEgMC41NjcgMS4xNnYzLjQ3cTAgMC40NjIgMC41MTQgMC40NjIgMC4xMDMgMCAwLjItMC4wMjMxdjAuNzE0cS0wLjM5OSAwLjEwMy0wLjY1MSAwLjEwMy0wLjQ1MiAwLTAuNjkzLTAuMjItMC4yMzEtMC4yLTAuMjg0LTAuNjYyLTAuOTU2IDAuODcyLTIgMC44NzItMC45MDMgMC0xLjQ3LTAuNDcyLTAuNTI1LTAuNDcyLTAuNTI1LTEuMjYgMC0wLjI2MiAwLjA0NTItMC40NzIgMC4wNTY3LTAuMjIgMC4xMTYtMC4zNzggMC4wNjgyLTAuMTY4IDAuMjMxLTAuMzA0IDAuMTU4LTAuMTQ3IDAuMjYyLTAuMjQyIDAuMTE2LTAuMDkxNCAwLjM2OC0wLjE2OCAwLjI2Mi0wLjA5MTQgMC4zOTktMC4xMjYgMC4xMzYtMC4wNDUyIDAuNDcyLTAuMTAzIDAuMzM2LTAuMDU3OCAwLjUwNC0wLjA3OTggMC4xNTgtMC4wMjMxIDAuNTY3LTAuMDc5OCAwLjU1Ni0wLjA2ODIgMC43NzctMC4yMjEgMC4yMi0wLjE1MiAwLjIyLTAuNDQxdi0wLjI1MnEwLTAuNDMtMC4zNTctMC42NjItMC4zMzYtMC4yMzEtMC45NzYtMC4yMzEtMC42NjIgMC0wLjk5OCAwLjI2Mi0wLjMzNiAwLjI1Mi0wLjM5OSAwLjc5OHptMS44OSAzLjY4cTAuNzg4IDAgMS4yNi0wLjQxIDAuNTA0LTAuNDIgMC41MDQtMC45MDN2LTEuMDVxLTAuMjg0IDAuMTM2LTAuODYxIDAuMjMxLTAuNTY3IDAuMDkxNC0wLjk4NyAwLjE1OC0wLjQyIDAuMDY4Mi0wLjc2NiAwLjMyNi0wLjMzNiAwLjI1Mi0wLjMzNiAwLjcwNHQwLjMwNCAwLjcwNCAwLjg2MSAwLjI1MnoiIHN0cm9rZS13aWR0aD0iMS4wNSIvPgogIDxwYXRoIGQ9Im0xMCA0LjU2aDAuOTQ1djMuMTVxMC42NTEtMC45NzYgMS44OS0wLjk3NiAxLjE2IDAgMS44OSAwLjg0IDAuNjgyIDAuODQgMC42ODIgMi4zMSAwIDEuNDctMC43MDQgMi40Mi0wLjcwNCAwLjg4Mi0xLjg5IDAuODgyLTEuMjYgMC0xLjg5LTEuMDJ2MC43NjZoLTAuODV6bTIuNjIgMy4wNHEtMC43NDYgMC0xLjE2IDAuNjQtMC40NTIgMC42My0wLjQ1MiAxLjY4IDAgMS4wNSAwLjQ1MiAxLjY4dDEuMTYgMC42M3EwLjc3NyAwIDEuMjYtMC42MyAwLjQ5NC0wLjY0IDAuNDk0LTEuNjggMC0xLjA1LTAuNDcyLTEuNjgtMC40NjItMC42NC0xLjI2LTAuNjR6IiBzdHJva2Utd2lkdGg9IjEuMDUiLz4KICA8cGF0aCBkPSJtMi43MyAxNS44IDEzLjYgMC4wMDgxYzAuMDA2OSAwIDAtMi42IDAtMi42IDAtMC4wMDc4LTEuMTUgMC0xLjE1IDAtMC4wMDY5IDAtMC4wMDgzIDEuNS0wLjAwODMgMS41LTJlLTMgLTAuMDAxNC0xMS4zLTAuMDAxNC0xMS4zLTAuMDAxNGwtMC4wMDU5Mi0xLjVjMC0wLjAwNzgtMS4xNyAwLjAwMTMtMS4xNyAwLjAwMTN6IiBzdHJva2Utd2lkdGg9Ii45NzUiLz4KIDwvZz4KPC9zdmc+Cg==);
+ --jp-icon-yaml: url(data:image/svg+xml;base64,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);
+}
+
+/* Icon CSS class declarations */
+
+.jp-AddAboveIcon {
+ background-image: var(--jp-icon-add-above);
+}
+
+.jp-AddBelowIcon {
+ background-image: var(--jp-icon-add-below);
+}
+
+.jp-AddIcon {
+ background-image: var(--jp-icon-add);
+}
+
+.jp-BellIcon {
+ background-image: var(--jp-icon-bell);
+}
+
+.jp-BugDotIcon {
+ background-image: var(--jp-icon-bug-dot);
+}
+
+.jp-BugIcon {
+ background-image: var(--jp-icon-bug);
+}
+
+.jp-BuildIcon {
+ background-image: var(--jp-icon-build);
+}
+
+.jp-CaretDownEmptyIcon {
+ background-image: var(--jp-icon-caret-down-empty);
+}
+
+.jp-CaretDownEmptyThinIcon {
+ background-image: var(--jp-icon-caret-down-empty-thin);
+}
+
+.jp-CaretDownIcon {
+ background-image: var(--jp-icon-caret-down);
+}
+
+.jp-CaretLeftIcon {
+ background-image: var(--jp-icon-caret-left);
+}
+
+.jp-CaretRightIcon {
+ background-image: var(--jp-icon-caret-right);
+}
+
+.jp-CaretUpEmptyThinIcon {
+ background-image: var(--jp-icon-caret-up-empty-thin);
+}
+
+.jp-CaretUpIcon {
+ background-image: var(--jp-icon-caret-up);
+}
+
+.jp-CaseSensitiveIcon {
+ background-image: var(--jp-icon-case-sensitive);
+}
+
+.jp-CheckIcon {
+ background-image: var(--jp-icon-check);
+}
+
+.jp-CircleEmptyIcon {
+ background-image: var(--jp-icon-circle-empty);
+}
+
+.jp-CircleIcon {
+ background-image: var(--jp-icon-circle);
+}
+
+.jp-ClearIcon {
+ background-image: var(--jp-icon-clear);
+}
+
+.jp-CloseIcon {
+ background-image: var(--jp-icon-close);
+}
+
+.jp-CodeCheckIcon {
+ background-image: var(--jp-icon-code-check);
+}
+
+.jp-CodeIcon {
+ background-image: var(--jp-icon-code);
+}
+
+.jp-CollapseAllIcon {
+ background-image: var(--jp-icon-collapse-all);
+}
+
+.jp-ConsoleIcon {
+ background-image: var(--jp-icon-console);
+}
+
+.jp-CopyIcon {
+ background-image: var(--jp-icon-copy);
+}
+
+.jp-CopyrightIcon {
+ background-image: var(--jp-icon-copyright);
+}
+
+.jp-CutIcon {
+ background-image: var(--jp-icon-cut);
+}
+
+.jp-DeleteIcon {
+ background-image: var(--jp-icon-delete);
+}
+
+.jp-DownloadIcon {
+ background-image: var(--jp-icon-download);
+}
+
+.jp-DuplicateIcon {
+ background-image: var(--jp-icon-duplicate);
+}
+
+.jp-EditIcon {
+ background-image: var(--jp-icon-edit);
+}
+
+.jp-EllipsesIcon {
+ background-image: var(--jp-icon-ellipses);
+}
+
+.jp-ErrorIcon {
+ background-image: var(--jp-icon-error);
+}
+
+.jp-ExpandAllIcon {
+ background-image: var(--jp-icon-expand-all);
+}
+
+.jp-ExtensionIcon {
+ background-image: var(--jp-icon-extension);
+}
+
+.jp-FastForwardIcon {
+ background-image: var(--jp-icon-fast-forward);
+}
+
+.jp-FileIcon {
+ background-image: var(--jp-icon-file);
+}
+
+.jp-FileUploadIcon {
+ background-image: var(--jp-icon-file-upload);
+}
+
+.jp-FilterDotIcon {
+ background-image: var(--jp-icon-filter-dot);
+}
+
+.jp-FilterIcon {
+ background-image: var(--jp-icon-filter);
+}
+
+.jp-FilterListIcon {
+ background-image: var(--jp-icon-filter-list);
+}
+
+.jp-FolderFavoriteIcon {
+ background-image: var(--jp-icon-folder-favorite);
+}
+
+.jp-FolderIcon {
+ background-image: var(--jp-icon-folder);
+}
+
+.jp-HomeIcon {
+ background-image: var(--jp-icon-home);
+}
+
+.jp-Html5Icon {
+ background-image: var(--jp-icon-html5);
+}
+
+.jp-ImageIcon {
+ background-image: var(--jp-icon-image);
+}
+
+.jp-InfoIcon {
+ background-image: var(--jp-icon-info);
+}
+
+.jp-InspectorIcon {
+ background-image: var(--jp-icon-inspector);
+}
+
+.jp-JsonIcon {
+ background-image: var(--jp-icon-json);
+}
+
+.jp-JuliaIcon {
+ background-image: var(--jp-icon-julia);
+}
+
+.jp-JupyterFaviconIcon {
+ background-image: var(--jp-icon-jupyter-favicon);
+}
+
+.jp-JupyterIcon {
+ background-image: var(--jp-icon-jupyter);
+}
+
+.jp-JupyterlabWordmarkIcon {
+ background-image: var(--jp-icon-jupyterlab-wordmark);
+}
+
+.jp-KernelIcon {
+ background-image: var(--jp-icon-kernel);
+}
+
+.jp-KeyboardIcon {
+ background-image: var(--jp-icon-keyboard);
+}
+
+.jp-LaunchIcon {
+ background-image: var(--jp-icon-launch);
+}
+
+.jp-LauncherIcon {
+ background-image: var(--jp-icon-launcher);
+}
+
+.jp-LineFormIcon {
+ background-image: var(--jp-icon-line-form);
+}
+
+.jp-LinkIcon {
+ background-image: var(--jp-icon-link);
+}
+
+.jp-ListIcon {
+ background-image: var(--jp-icon-list);
+}
+
+.jp-MarkdownIcon {
+ background-image: var(--jp-icon-markdown);
+}
+
+.jp-MoveDownIcon {
+ background-image: var(--jp-icon-move-down);
+}
+
+.jp-MoveUpIcon {
+ background-image: var(--jp-icon-move-up);
+}
+
+.jp-NewFolderIcon {
+ background-image: var(--jp-icon-new-folder);
+}
+
+.jp-NotTrustedIcon {
+ background-image: var(--jp-icon-not-trusted);
+}
+
+.jp-NotebookIcon {
+ background-image: var(--jp-icon-notebook);
+}
+
+.jp-NumberingIcon {
+ background-image: var(--jp-icon-numbering);
+}
+
+.jp-OfflineBoltIcon {
+ background-image: var(--jp-icon-offline-bolt);
+}
+
+.jp-PaletteIcon {
+ background-image: var(--jp-icon-palette);
+}
+
+.jp-PasteIcon {
+ background-image: var(--jp-icon-paste);
+}
+
+.jp-PdfIcon {
+ background-image: var(--jp-icon-pdf);
+}
+
+.jp-PythonIcon {
+ background-image: var(--jp-icon-python);
+}
+
+.jp-RKernelIcon {
+ background-image: var(--jp-icon-r-kernel);
+}
+
+.jp-ReactIcon {
+ background-image: var(--jp-icon-react);
+}
+
+.jp-RedoIcon {
+ background-image: var(--jp-icon-redo);
+}
+
+.jp-RefreshIcon {
+ background-image: var(--jp-icon-refresh);
+}
+
+.jp-RegexIcon {
+ background-image: var(--jp-icon-regex);
+}
+
+.jp-RunIcon {
+ background-image: var(--jp-icon-run);
+}
+
+.jp-RunningIcon {
+ background-image: var(--jp-icon-running);
+}
+
+.jp-SaveIcon {
+ background-image: var(--jp-icon-save);
+}
+
+.jp-SearchIcon {
+ background-image: var(--jp-icon-search);
+}
+
+.jp-SettingsIcon {
+ background-image: var(--jp-icon-settings);
+}
+
+.jp-ShareIcon {
+ background-image: var(--jp-icon-share);
+}
+
+.jp-SpreadsheetIcon {
+ background-image: var(--jp-icon-spreadsheet);
+}
+
+.jp-StopIcon {
+ background-image: var(--jp-icon-stop);
+}
+
+.jp-TabIcon {
+ background-image: var(--jp-icon-tab);
+}
+
+.jp-TableRowsIcon {
+ background-image: var(--jp-icon-table-rows);
+}
+
+.jp-TagIcon {
+ background-image: var(--jp-icon-tag);
+}
+
+.jp-TerminalIcon {
+ background-image: var(--jp-icon-terminal);
+}
+
+.jp-TextEditorIcon {
+ background-image: var(--jp-icon-text-editor);
+}
+
+.jp-TocIcon {
+ background-image: var(--jp-icon-toc);
+}
+
+.jp-TreeViewIcon {
+ background-image: var(--jp-icon-tree-view);
+}
+
+.jp-TrustedIcon {
+ background-image: var(--jp-icon-trusted);
+}
+
+.jp-UndoIcon {
+ background-image: var(--jp-icon-undo);
+}
+
+.jp-UserIcon {
+ background-image: var(--jp-icon-user);
+}
+
+.jp-UsersIcon {
+ background-image: var(--jp-icon-users);
+}
+
+.jp-VegaIcon {
+ background-image: var(--jp-icon-vega);
+}
+
+.jp-WordIcon {
+ background-image: var(--jp-icon-word);
+}
+
+.jp-YamlIcon {
+ background-image: var(--jp-icon-yaml);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * (DEPRECATED) Support for consuming icons as CSS background images
+ */
+
+.jp-Icon,
+.jp-MaterialIcon {
+ background-position: center;
+ background-repeat: no-repeat;
+ background-size: 16px;
+ min-width: 16px;
+ min-height: 16px;
+}
+
+.jp-Icon-cover {
+ background-position: center;
+ background-repeat: no-repeat;
+ background-size: cover;
+}
+
+/**
+ * (DEPRECATED) Support for specific CSS icon sizes
+ */
+
+.jp-Icon-16 {
+ background-size: 16px;
+ min-width: 16px;
+ min-height: 16px;
+}
+
+.jp-Icon-18 {
+ background-size: 18px;
+ min-width: 18px;
+ min-height: 18px;
+}
+
+.jp-Icon-20 {
+ background-size: 20px;
+ min-width: 20px;
+ min-height: 20px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.lm-TabBar .lm-TabBar-addButton {
+ align-items: center;
+ display: flex;
+ padding: 4px;
+ padding-bottom: 5px;
+ margin-right: 1px;
+ background-color: var(--jp-layout-color2);
+}
+
+.lm-TabBar .lm-TabBar-addButton:hover {
+ background-color: var(--jp-layout-color1);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-tab {
+ width: var(--jp-private-horizontal-tab-width);
+}
+
+.lm-DockPanel-tabBar .lm-TabBar-content {
+ flex: unset;
+}
+
+.lm-DockPanel-tabBar[data-orientation='horizontal'] {
+ flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for icons as inline SVG HTMLElements
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon0[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon0[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon1[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon2[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon3[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon4[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-accent0[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-accent0[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-accent1[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-accent2[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-accent3[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-accent4[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-none[fill] {
+ fill: none;
+}
+
+.jp-icon-none[stroke] {
+ stroke: none;
+}
+
+/* brand icon colors. Same for light and dark */
+.jp-icon-brand0[fill] {
+ fill: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[fill] {
+ fill: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[fill] {
+ fill: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[fill] {
+ fill: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[fill] {
+ fill: var(--jp-brand-color4);
+}
+
+.jp-icon-brand0[stroke] {
+ stroke: var(--jp-brand-color0);
+}
+
+.jp-icon-brand1[stroke] {
+ stroke: var(--jp-brand-color1);
+}
+
+.jp-icon-brand2[stroke] {
+ stroke: var(--jp-brand-color2);
+}
+
+.jp-icon-brand3[stroke] {
+ stroke: var(--jp-brand-color3);
+}
+
+.jp-icon-brand4[stroke] {
+ stroke: var(--jp-brand-color4);
+}
+
+/* warn icon colors. Same for light and dark */
+.jp-icon-warn0[fill] {
+ fill: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[fill] {
+ fill: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[fill] {
+ fill: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[fill] {
+ fill: var(--jp-warn-color3);
+}
+
+.jp-icon-warn0[stroke] {
+ stroke: var(--jp-warn-color0);
+}
+
+.jp-icon-warn1[stroke] {
+ stroke: var(--jp-warn-color1);
+}
+
+.jp-icon-warn2[stroke] {
+ stroke: var(--jp-warn-color2);
+}
+
+.jp-icon-warn3[stroke] {
+ stroke: var(--jp-warn-color3);
+}
+
+/* icon colors that contrast well with each other and most backgrounds */
+.jp-icon-contrast0[fill] {
+ fill: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[fill] {
+ fill: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[fill] {
+ fill: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[fill] {
+ fill: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-contrast0[stroke] {
+ stroke: var(--jp-icon-contrast-color0);
+}
+
+.jp-icon-contrast1[stroke] {
+ stroke: var(--jp-icon-contrast-color1);
+}
+
+.jp-icon-contrast2[stroke] {
+ stroke: var(--jp-icon-contrast-color2);
+}
+
+.jp-icon-contrast3[stroke] {
+ stroke: var(--jp-icon-contrast-color3);
+}
+
+.jp-icon-dot[fill] {
+ fill: var(--jp-warn-color0);
+}
+
+.jp-jupyter-icon-color[fill] {
+ fill: var(--jp-jupyter-icon-color, var(--jp-warn-color0));
+}
+
+.jp-notebook-icon-color[fill] {
+ fill: var(--jp-notebook-icon-color, var(--jp-warn-color0));
+}
+
+.jp-json-icon-color[fill] {
+ fill: var(--jp-json-icon-color, var(--jp-warn-color1));
+}
+
+.jp-console-icon-color[fill] {
+ fill: var(--jp-console-icon-color, white);
+}
+
+.jp-console-icon-background-color[fill] {
+ fill: var(--jp-console-icon-background-color, var(--jp-brand-color1));
+}
+
+.jp-terminal-icon-color[fill] {
+ fill: var(--jp-terminal-icon-color, var(--jp-layout-color2));
+}
+
+.jp-terminal-icon-background-color[fill] {
+ fill: var(
+ --jp-terminal-icon-background-color,
+ var(--jp-inverse-layout-color2)
+ );
+}
+
+.jp-text-editor-icon-color[fill] {
+ fill: var(--jp-text-editor-icon-color, var(--jp-inverse-layout-color3));
+}
+
+.jp-inspector-icon-color[fill] {
+ fill: var(--jp-inspector-icon-color, var(--jp-inverse-layout-color3));
+}
+
+/* CSS for icons in selected filebrowser listing items */
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable[fill] {
+ fill: #fff;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-icon-selectable-inverse[fill] {
+ fill: var(--jp-brand-color1);
+}
+
+/* stylelint-disable selector-max-class, selector-max-compound-selectors */
+
+/**
+* TODO: come up with non css-hack solution for showing the busy icon on top
+* of the close icon
+* CSS for complex behavior of close icon of tabs in the main area tabbar
+*/
+.lm-DockPanel-tabBar
+ .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+ > .lm-TabBar-tabCloseIcon
+ > :not(:hover)
+ > .jp-icon3[fill] {
+ fill: none;
+}
+
+.lm-DockPanel-tabBar
+ .lm-TabBar-tab.lm-mod-closable.jp-mod-dirty
+ > .lm-TabBar-tabCloseIcon
+ > :not(:hover)
+ > .jp-icon-busy[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+/* stylelint-enable selector-max-class, selector-max-compound-selectors */
+
+/* CSS for icons in status bar */
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable[fill] {
+ fill: #fff;
+}
+
+#jp-main-statusbar .jp-mod-selected .jp-icon-selectable-inverse[fill] {
+ fill: var(--jp-brand-color1);
+}
+
+/* special handling for splash icon CSS. While the theme CSS reloads during
+ splash, the splash icon can loose theming. To prevent that, we set a
+ default for its color variable */
+:root {
+ --jp-warn-color0: var(--md-orange-700);
+}
+
+/* not sure what to do with this one, used in filebrowser listing */
+.jp-DragIcon {
+ margin-right: 4px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/**
+ * Support for alt colors for icons as inline SVG HTMLElements
+ */
+
+/* alt recolor the primary elements of an icon */
+.jp-icon-alt .jp-icon0[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-alt .jp-icon0[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-alt .jp-icon1[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-alt .jp-icon2[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-alt .jp-icon3[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-alt .jp-icon4[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* alt recolor the accent elements of an icon */
+.jp-icon-alt .jp-icon-accent0[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-alt .jp-icon-accent0[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-alt .jp-icon-accent1[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-alt .jp-icon-accent2[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-alt .jp-icon-accent3[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-alt .jp-icon-accent4[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-icon-hoverShow:not(:hover) .jp-icon-hoverShow-content {
+ display: none !important;
+}
+
+/**
+ * Support for hover colors for icons as inline SVG HTMLElements
+ */
+
+/**
+ * regular colors
+ */
+
+/* recolor the primary elements of an icon */
+.jp-icon-hover :hover .jp-icon0-hover[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon0-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon1-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon2-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon3-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon4-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/* recolor the accent elements of an icon */
+.jp-icon-hover :hover .jp-icon-accent0-hover[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover :hover .jp-icon-accent0-hover[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover :hover .jp-icon-accent1-hover[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover :hover .jp-icon-accent2-hover[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover :hover .jp-icon-accent3-hover[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover :hover .jp-icon-accent4-hover[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* set the color of an icon to transparent */
+.jp-icon-hover :hover .jp-icon-none-hover[fill] {
+ fill: none;
+}
+
+.jp-icon-hover :hover .jp-icon-none-hover[stroke] {
+ stroke: none;
+}
+
+/**
+ * inverse colors
+ */
+
+/* inverse recolor the primary elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[fill] {
+ fill: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[fill] {
+ fill: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[fill] {
+ fill: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[fill] {
+ fill: var(--jp-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon0-hover[stroke] {
+ stroke: var(--jp-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon1-hover[stroke] {
+ stroke: var(--jp-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon2-hover[stroke] {
+ stroke: var(--jp-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon3-hover[stroke] {
+ stroke: var(--jp-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon4-hover[stroke] {
+ stroke: var(--jp-layout-color4);
+}
+
+/* inverse recolor the accent elements of an icon */
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[fill] {
+ fill: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[fill] {
+ fill: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[fill] {
+ fill: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[fill] {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[fill] {
+ fill: var(--jp-inverse-layout-color4);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent0-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color0);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent1-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color1);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent2-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color2);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent3-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color3);
+}
+
+.jp-icon-hover.jp-icon-alt :hover .jp-icon-accent4-hover[stroke] {
+ stroke: var(--jp-inverse-layout-color4);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-IFrame {
+ width: 100%;
+ height: 100%;
+}
+
+.jp-IFrame > iframe {
+ border: none;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-IFrame {
+ position: relative;
+}
+
+body.lm-mod-override-cursor .jp-IFrame::before {
+ content: '';
+ position: absolute;
+ top: 0;
+ left: 0;
+ right: 0;
+ bottom: 0;
+ background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-HoverBox {
+ position: fixed;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FormGroup-content fieldset {
+ border: none;
+ padding: 0;
+ min-width: 0;
+ width: 100%;
+}
+
+/* stylelint-disable selector-max-type */
+
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper input,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper select,
+.jp-FormGroup-content fieldset .jp-inputFieldWrapper textarea {
+ font-size: var(--jp-content-font-size2);
+ border-color: var(--jp-input-border-color);
+ border-style: solid;
+ border-radius: var(--jp-border-radius);
+ border-width: 1px;
+ padding: 6px 8px;
+ background: none;
+ color: var(--jp-ui-font-color0);
+ height: inherit;
+}
+
+.jp-FormGroup-content fieldset input[type='checkbox'] {
+ position: relative;
+ top: 2px;
+ margin-left: 0;
+}
+
+.jp-FormGroup-content button.jp-mod-styled {
+ cursor: pointer;
+}
+
+.jp-FormGroup-content .checkbox label {
+ cursor: pointer;
+ font-size: var(--jp-content-font-size1);
+}
+
+.jp-FormGroup-content .jp-root > fieldset > legend {
+ display: none;
+}
+
+.jp-FormGroup-content .jp-root > fieldset > p {
+ display: none;
+}
+
+/** copy of `input.jp-mod-styled:focus` style */
+.jp-FormGroup-content fieldset input:focus,
+.jp-FormGroup-content fieldset select:focus {
+ -moz-outline-radius: unset;
+ outline: var(--jp-border-width) solid var(--md-blue-500);
+ outline-offset: -1px;
+ box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-FormGroup-content fieldset input:hover:not(:focus),
+.jp-FormGroup-content fieldset select:hover:not(:focus) {
+ background-color: var(--jp-border-color2);
+}
+
+/* stylelint-enable selector-max-type */
+
+.jp-FormGroup-content .checkbox .field-description {
+ /* Disable default description field for checkbox:
+ because other widgets do not have description fields,
+ we add descriptions to each widget on the field level.
+ */
+ display: none;
+}
+
+.jp-FormGroup-content #root__description {
+ display: none;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator {
+ width: 5px;
+ background-color: var(--jp-brand-color2);
+ margin-top: 0;
+ margin-left: calc(var(--jp-private-settingeditor-modifier-indent) * -1);
+ flex-shrink: 0;
+}
+
+.jp-FormGroup-content .jp-modifiedIndicator.jp-errorIndicator {
+ background-color: var(--jp-error-color0);
+ margin-right: 0.5em;
+}
+
+/* RJSF ARRAY style */
+
+.jp-arrayFieldWrapper legend {
+ font-size: var(--jp-content-font-size2);
+ color: var(--jp-ui-font-color0);
+ flex-basis: 100%;
+ padding: 4px 0;
+ font-weight: var(--jp-content-heading-font-weight);
+ border-bottom: 1px solid var(--jp-border-color2);
+}
+
+.jp-arrayFieldWrapper .field-description {
+ padding: 4px 0;
+ white-space: pre-wrap;
+}
+
+.jp-arrayFieldWrapper .array-item {
+ width: 100%;
+ border: 1px solid var(--jp-border-color2);
+ border-radius: 4px;
+ margin: 4px;
+}
+
+.jp-ArrayOperations {
+ display: flex;
+ margin-left: 8px;
+}
+
+.jp-ArrayOperationsButton {
+ margin: 2px;
+}
+
+.jp-ArrayOperationsButton .jp-icon3[fill] {
+ fill: var(--jp-ui-font-color0);
+}
+
+button.jp-ArrayOperationsButton.jp-mod-styled:disabled {
+ cursor: not-allowed;
+ opacity: 0.5;
+}
+
+/* RJSF form validation error */
+
+.jp-FormGroup-content .validationErrors {
+ color: var(--jp-error-color0);
+}
+
+/* Hide panel level error as duplicated the field level error */
+.jp-FormGroup-content .panel.errors {
+ display: none;
+}
+
+/* RJSF normal content (settings-editor) */
+
+.jp-FormGroup-contentNormal {
+ display: flex;
+ align-items: center;
+ flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-contentItem {
+ margin-left: 7px;
+ color: var(--jp-ui-font-color0);
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-description {
+ flex-basis: 100%;
+ padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-default {
+ flex-basis: 100%;
+ padding: 4px 7px;
+}
+
+.jp-FormGroup-contentNormal .jp-FormGroup-fieldLabel {
+ font-size: var(--jp-content-font-size1);
+ font-weight: normal;
+ min-width: 120px;
+}
+
+.jp-FormGroup-contentNormal fieldset:not(:first-child) {
+ margin-left: 7px;
+}
+
+.jp-FormGroup-contentNormal .field-array-of-string .array-item {
+ /* Display `jp-ArrayOperations` buttons side-by-side with content except
+ for small screens where flex-wrap will place them one below the other.
+ */
+ display: flex;
+ align-items: center;
+ flex-wrap: wrap;
+}
+
+.jp-FormGroup-contentNormal .jp-objectFieldWrapper .form-group {
+ padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+ margin-top: 2px;
+}
+
+/* RJSF compact content (metadata-form) */
+
+.jp-FormGroup-content.jp-FormGroup-contentCompact {
+ width: 100%;
+}
+
+.jp-FormGroup-contentCompact .form-group {
+ display: flex;
+ padding: 0.5em 0.2em 0.5em 0;
+}
+
+.jp-FormGroup-contentCompact
+ .jp-FormGroup-compactTitle
+ .jp-FormGroup-description {
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-FormGroup-contentCompact .jp-FormGroup-fieldLabel {
+ padding-bottom: 0.3em;
+}
+
+.jp-FormGroup-contentCompact .jp-inputFieldWrapper .form-control {
+ width: 100%;
+ box-sizing: border-box;
+}
+
+.jp-FormGroup-contentCompact .jp-arrayFieldWrapper .jp-FormGroup-compactTitle {
+ padding-bottom: 7px;
+}
+
+.jp-FormGroup-contentCompact
+ .jp-objectFieldWrapper
+ .jp-objectFieldWrapper
+ .form-group {
+ padding: 2px 8px 2px var(--jp-private-settingeditor-modifier-indent);
+ margin-top: 2px;
+}
+
+.jp-FormGroup-contentCompact ul.error-detail {
+ margin-block-start: 0.5em;
+ margin-block-end: 0.5em;
+ padding-inline-start: 1em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-SidePanel {
+ display: flex;
+ flex-direction: column;
+ min-width: var(--jp-sidebar-min-width);
+ overflow-y: auto;
+ color: var(--jp-ui-font-color1);
+ background: var(--jp-layout-color1);
+ font-size: var(--jp-ui-font-size1);
+}
+
+.jp-SidePanel-header {
+ flex: 0 0 auto;
+ display: flex;
+ border-bottom: var(--jp-border-width) solid var(--jp-border-color2);
+ font-size: var(--jp-ui-font-size0);
+ font-weight: 600;
+ letter-spacing: 1px;
+ margin: 0;
+ padding: 2px;
+ text-transform: uppercase;
+}
+
+.jp-SidePanel-toolbar {
+ flex: 0 0 auto;
+}
+
+.jp-SidePanel-content {
+ flex: 1 1 auto;
+}
+
+.jp-SidePanel-toolbar,
+.jp-AccordionPanel-toolbar {
+ height: var(--jp-private-toolbar-height);
+}
+
+.jp-SidePanel-toolbar.jp-Toolbar-micro {
+ display: none;
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-title {
+ box-sizing: border-box;
+ line-height: 25px;
+ margin: 0;
+ display: flex;
+ align-items: center;
+ background: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ font-size: var(--jp-ui-font-size0);
+}
+
+.jp-AccordionPanel-title {
+ cursor: pointer;
+ user-select: none;
+ -moz-user-select: none;
+ -webkit-user-select: none;
+ text-transform: uppercase;
+}
+
+.lm-AccordionPanel[data-orientation='horizontal'] > .jp-AccordionPanel-title {
+ /* Title is rotated for horizontal accordion panel using CSS */
+ display: block;
+ transform-origin: top left;
+ transform: rotate(-90deg) translate(-100%);
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleLabel {
+ user-select: none;
+ text-overflow: ellipsis;
+ white-space: nowrap;
+ overflow: hidden;
+}
+
+.jp-AccordionPanel-title .lm-AccordionPanel-titleCollapser {
+ transform: rotate(-90deg);
+ margin: auto 0;
+ height: 16px;
+}
+
+.jp-AccordionPanel-title.lm-mod-expanded .lm-AccordionPanel-titleCollapser {
+ transform: rotate(0deg);
+}
+
+.lm-AccordionPanel .jp-AccordionPanel-toolbar {
+ background: none;
+ box-shadow: none;
+ border: none;
+ margin-left: auto;
+}
+
+.lm-AccordionPanel .lm-SplitPanel-handle:hover {
+ background: var(--jp-layout-color3);
+}
+
+.jp-text-truncated {
+ overflow: hidden;
+ text-overflow: ellipsis;
+ white-space: nowrap;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Spinner {
+ position: absolute;
+ display: flex;
+ justify-content: center;
+ align-items: center;
+ z-index: 10;
+ left: 0;
+ top: 0;
+ width: 100%;
+ height: 100%;
+ background: var(--jp-layout-color0);
+ outline: none;
+}
+
+.jp-SpinnerContent {
+ font-size: 10px;
+ margin: 50px auto;
+ text-indent: -9999em;
+ width: 3em;
+ height: 3em;
+ border-radius: 50%;
+ background: var(--jp-brand-color3);
+ background: linear-gradient(
+ to right,
+ #f37626 10%,
+ rgba(255, 255, 255, 0) 42%
+ );
+ position: relative;
+ animation: load3 1s infinite linear, fadeIn 1s;
+}
+
+.jp-SpinnerContent::before {
+ width: 50%;
+ height: 50%;
+ background: #f37626;
+ border-radius: 100% 0 0;
+ position: absolute;
+ top: 0;
+ left: 0;
+ content: '';
+}
+
+.jp-SpinnerContent::after {
+ background: var(--jp-layout-color0);
+ width: 75%;
+ height: 75%;
+ border-radius: 50%;
+ content: '';
+ margin: auto;
+ position: absolute;
+ top: 0;
+ left: 0;
+ bottom: 0;
+ right: 0;
+}
+
+@keyframes fadeIn {
+ 0% {
+ opacity: 0;
+ }
+
+ 100% {
+ opacity: 1;
+ }
+}
+
+@keyframes load3 {
+ 0% {
+ transform: rotate(0deg);
+ }
+
+ 100% {
+ transform: rotate(360deg);
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+button.jp-mod-styled {
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color0);
+ border: none;
+ box-sizing: border-box;
+ text-align: center;
+ line-height: 32px;
+ height: 32px;
+ padding: 0 12px;
+ letter-spacing: 0.8px;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+}
+
+input.jp-mod-styled {
+ background: var(--jp-input-background);
+ height: 28px;
+ box-sizing: border-box;
+ border: var(--jp-border-width) solid var(--jp-border-color1);
+ padding-left: 7px;
+ padding-right: 7px;
+ font-size: var(--jp-ui-font-size2);
+ color: var(--jp-ui-font-color0);
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+}
+
+input[type='checkbox'].jp-mod-styled {
+ appearance: checkbox;
+ -webkit-appearance: checkbox;
+ -moz-appearance: checkbox;
+ height: auto;
+}
+
+input.jp-mod-styled:focus {
+ border: var(--jp-border-width) solid var(--md-blue-500);
+ box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-select-wrapper {
+ display: flex;
+ position: relative;
+ flex-direction: column;
+ padding: 1px;
+ background-color: var(--jp-layout-color1);
+ box-sizing: border-box;
+ margin-bottom: 12px;
+}
+
+.jp-select-wrapper:not(.multiple) {
+ height: 28px;
+}
+
+.jp-select-wrapper.jp-mod-focused select.jp-mod-styled {
+ border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+ background-color: var(--jp-input-active-background);
+}
+
+select.jp-mod-styled:hover {
+ cursor: pointer;
+ color: var(--jp-ui-font-color0);
+ background-color: var(--jp-input-hover-background);
+ box-shadow: inset 0 0 1px rgba(0, 0, 0, 0.5);
+}
+
+select.jp-mod-styled {
+ flex: 1 1 auto;
+ width: 100%;
+ font-size: var(--jp-ui-font-size2);
+ background: var(--jp-input-background);
+ color: var(--jp-ui-font-color0);
+ padding: 0 25px 0 8px;
+ border: var(--jp-border-width) solid var(--jp-input-border-color);
+ border-radius: 0;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+}
+
+select.jp-mod-styled:not([multiple]) {
+ height: 32px;
+}
+
+select.jp-mod-styled[multiple] {
+ max-height: 200px;
+ overflow-y: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-switch {
+ display: flex;
+ align-items: center;
+ padding-left: 4px;
+ padding-right: 4px;
+ font-size: var(--jp-ui-font-size1);
+ background-color: transparent;
+ color: var(--jp-ui-font-color1);
+ border: none;
+ height: 20px;
+}
+
+.jp-switch:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-switch-label {
+ margin-right: 5px;
+ font-family: var(--jp-ui-font-family);
+}
+
+.jp-switch-track {
+ cursor: pointer;
+ background-color: var(--jp-switch-color, var(--jp-border-color1));
+ -webkit-transition: 0.4s;
+ transition: 0.4s;
+ border-radius: 34px;
+ height: 16px;
+ width: 35px;
+ position: relative;
+}
+
+.jp-switch-track::before {
+ content: '';
+ position: absolute;
+ height: 10px;
+ width: 10px;
+ margin: 3px;
+ left: 0;
+ background-color: var(--jp-ui-inverse-font-color1);
+ -webkit-transition: 0.4s;
+ transition: 0.4s;
+ border-radius: 50%;
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track {
+ background-color: var(--jp-switch-true-position-color, var(--jp-warn-color0));
+}
+
+.jp-switch[aria-checked='true'] .jp-switch-track::before {
+ /* track width (35) - margins (3 + 3) - thumb width (10) */
+ left: 19px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-toolbar-height: calc(
+ 28px + var(--jp-border-width)
+ ); /* leave 28px for content */
+}
+
+.jp-Toolbar {
+ color: var(--jp-ui-font-color1);
+ flex: 0 0 auto;
+ display: flex;
+ flex-direction: row;
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ background: var(--jp-toolbar-background);
+ min-height: var(--jp-toolbar-micro-height);
+ padding: 2px;
+ z-index: 8;
+ overflow-x: hidden;
+}
+
+/* Toolbar items */
+
+.jp-Toolbar > .jp-Toolbar-item.jp-Toolbar-spacer {
+ flex-grow: 1;
+ flex-shrink: 1;
+}
+
+.jp-Toolbar-item.jp-Toolbar-kernelStatus {
+ display: inline-block;
+ width: 32px;
+ background-repeat: no-repeat;
+ background-position: center;
+ background-size: 16px;
+}
+
+.jp-Toolbar > .jp-Toolbar-item {
+ flex: 0 0 auto;
+ display: flex;
+ padding-left: 1px;
+ padding-right: 1px;
+ font-size: var(--jp-ui-font-size1);
+ line-height: var(--jp-private-toolbar-height);
+ height: 100%;
+}
+
+/* Toolbar buttons */
+
+/* This is the div we use to wrap the react component into a Widget */
+div.jp-ToolbarButton {
+ color: transparent;
+ border: none;
+ box-sizing: border-box;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+ padding: 0;
+ margin: 0;
+}
+
+button.jp-ToolbarButtonComponent {
+ background: var(--jp-layout-color1);
+ border: none;
+ box-sizing: border-box;
+ outline: none;
+ appearance: none;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+ padding: 0 6px;
+ margin: 0;
+ height: 24px;
+ border-radius: var(--jp-border-radius);
+ display: flex;
+ align-items: center;
+ text-align: center;
+ font-size: 14px;
+ min-width: unset;
+ min-height: unset;
+}
+
+button.jp-ToolbarButtonComponent:disabled {
+ opacity: 0.4;
+}
+
+button.jp-ToolbarButtonComponent > span {
+ padding: 0;
+ flex: 0 0 auto;
+}
+
+button.jp-ToolbarButtonComponent .jp-ToolbarButtonComponent-label {
+ font-size: var(--jp-ui-font-size1);
+ line-height: 100%;
+ padding-left: 2px;
+ color: var(--jp-ui-font-color1);
+ font-family: var(--jp-ui-font-family);
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+ .jp-MainAreaWidget
+ > .jp-Toolbar.jp-Toolbar-micro {
+ padding: 0;
+ min-height: 0;
+}
+
+#jp-main-dock-panel[data-mode='single-document']
+ .jp-MainAreaWidget
+ > .jp-Toolbar {
+ border: none;
+ box-shadow: none;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-WindowedPanel-outer {
+ position: relative;
+ overflow-y: auto;
+}
+
+.jp-WindowedPanel-inner {
+ position: relative;
+}
+
+.jp-WindowedPanel-window {
+ position: absolute;
+ left: 0;
+ right: 0;
+ overflow: visible;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/* Sibling imports */
+
+body {
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+}
+
+/* Disable native link decoration styles everywhere outside of dialog boxes */
+a {
+ text-decoration: unset;
+ color: unset;
+}
+
+a:hover {
+ text-decoration: unset;
+ color: unset;
+}
+
+/* Accessibility for links inside dialog box text */
+.jp-Dialog-content a {
+ text-decoration: revert;
+ color: var(--jp-content-link-color);
+}
+
+.jp-Dialog-content a:hover {
+ text-decoration: revert;
+}
+
+/* Styles for ui-components */
+.jp-Button {
+ color: var(--jp-ui-font-color2);
+ border-radius: var(--jp-border-radius);
+ padding: 0 12px;
+ font-size: var(--jp-ui-font-size1);
+
+ /* Copy from blueprint 3 */
+ display: inline-flex;
+ flex-direction: row;
+ border: none;
+ cursor: pointer;
+ align-items: center;
+ justify-content: center;
+ text-align: left;
+ vertical-align: middle;
+ min-height: 30px;
+ min-width: 30px;
+}
+
+.jp-Button:disabled {
+ cursor: not-allowed;
+}
+
+.jp-Button:empty {
+ padding: 0 !important;
+}
+
+.jp-Button.jp-mod-small {
+ min-height: 24px;
+ min-width: 24px;
+ font-size: 12px;
+ padding: 0 7px;
+}
+
+/* Use our own theme for hover styles */
+.jp-Button.jp-mod-minimal:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-Button.jp-mod-minimal {
+ background: none;
+}
+
+.jp-InputGroup {
+ display: block;
+ position: relative;
+}
+
+.jp-InputGroup input {
+ box-sizing: border-box;
+ border: none;
+ border-radius: 0;
+ background-color: transparent;
+ color: var(--jp-ui-font-color0);
+ box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+ padding-bottom: 0;
+ padding-top: 0;
+ padding-left: 10px;
+ padding-right: 28px;
+ position: relative;
+ width: 100%;
+ -webkit-appearance: none;
+ -moz-appearance: none;
+ appearance: none;
+ font-size: 14px;
+ font-weight: 400;
+ height: 30px;
+ line-height: 30px;
+ outline: none;
+ vertical-align: middle;
+}
+
+.jp-InputGroup input:focus {
+ box-shadow: inset 0 0 0 var(--jp-border-width)
+ var(--jp-input-active-box-shadow-color),
+ inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-InputGroup input:disabled {
+ cursor: not-allowed;
+ resize: block;
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input:disabled ~ span {
+ cursor: not-allowed;
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroup input::placeholder,
+input::placeholder {
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-InputGroupAction {
+ position: absolute;
+ bottom: 1px;
+ right: 0;
+ padding: 6px;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select {
+ background-color: initial;
+ border: none;
+ border-radius: 0;
+ box-shadow: none;
+ color: var(--jp-ui-font-color0);
+ display: block;
+ font-size: var(--jp-ui-font-size1);
+ font-family: var(--jp-ui-font-family);
+ height: 24px;
+ line-height: 14px;
+ padding: 0 25px 0 10px;
+ text-align: left;
+ -moz-appearance: none;
+ -webkit-appearance: none;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled {
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color2);
+ cursor: not-allowed;
+ resize: block;
+}
+
+.jp-HTMLSelect.jp-DefaultStyle select:disabled ~ span {
+ cursor: not-allowed;
+}
+
+/* Use our own theme for hover and option styles */
+/* stylelint-disable-next-line selector-max-type */
+.jp-HTMLSelect.jp-DefaultStyle select:hover,
+.jp-HTMLSelect.jp-DefaultStyle select > option {
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color0);
+}
+
+select {
+ box-sizing: border-box;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-StatusBar-Widget {
+ display: flex;
+ align-items: center;
+ background: var(--jp-layout-color2);
+ min-height: var(--jp-statusbar-height);
+ justify-content: space-between;
+ padding: 0 10px;
+}
+
+.jp-StatusBar-Left {
+ display: flex;
+ align-items: center;
+ flex-direction: row;
+}
+
+.jp-StatusBar-Middle {
+ display: flex;
+ align-items: center;
+}
+
+.jp-StatusBar-Right {
+ display: flex;
+ align-items: center;
+ flex-direction: row-reverse;
+}
+
+.jp-StatusBar-Item {
+ max-height: var(--jp-statusbar-height);
+ margin: 0 2px;
+ height: var(--jp-statusbar-height);
+ white-space: nowrap;
+ text-overflow: ellipsis;
+ color: var(--jp-ui-font-color1);
+ padding: 0 6px;
+}
+
+.jp-mod-highlighted:hover {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-mod-clicked {
+ background-color: var(--jp-brand-color1);
+}
+
+.jp-mod-clicked:hover {
+ background-color: var(--jp-brand-color0);
+}
+
+.jp-mod-clicked .jp-StatusBar-TextItem {
+ color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-StatusBar-HoverItem {
+ box-shadow: '0px 4px 4px rgba(0, 0, 0, 0.25)';
+}
+
+.jp-StatusBar-TextItem {
+ font-size: var(--jp-ui-font-size1);
+ font-family: var(--jp-ui-font-family);
+ line-height: 24px;
+ color: var(--jp-ui-font-color1);
+}
+
+.jp-StatusBar-GroupItem {
+ display: flex;
+ align-items: center;
+ flex-direction: row;
+}
+
+.jp-Statusbar-ProgressCircle svg {
+ display: block;
+ margin: 0 auto;
+ width: 16px;
+ height: 24px;
+ align-self: normal;
+}
+
+.jp-Statusbar-ProgressCircle path {
+ fill: var(--jp-inverse-layout-color3);
+}
+
+.jp-Statusbar-ProgressBar-progress-bar {
+ height: 10px;
+ width: 100px;
+ border: solid 0.25px var(--jp-brand-color2);
+ border-radius: 3px;
+ overflow: hidden;
+ align-self: center;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar > div {
+ background-color: var(--jp-brand-color2);
+ background-image: linear-gradient(
+ -45deg,
+ rgba(255, 255, 255, 0.2) 25%,
+ transparent 25%,
+ transparent 50%,
+ rgba(255, 255, 255, 0.2) 50%,
+ rgba(255, 255, 255, 0.2) 75%,
+ transparent 75%,
+ transparent
+ );
+ background-size: 40px 40px;
+ float: left;
+ width: 0%;
+ height: 100%;
+ font-size: 12px;
+ line-height: 14px;
+ color: #fff;
+ text-align: center;
+ animation: jp-Statusbar-ExecutionTime-progress-bar 2s linear infinite;
+}
+
+.jp-Statusbar-ProgressBar-progress-bar p {
+ color: var(--jp-ui-font-color1);
+ font-family: var(--jp-ui-font-family);
+ font-size: var(--jp-ui-font-size1);
+ line-height: 10px;
+ width: 100px;
+}
+
+@keyframes jp-Statusbar-ExecutionTime-progress-bar {
+ 0% {
+ background-position: 0 0;
+ }
+
+ 100% {
+ background-position: 40px 40px;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-commandpalette-search-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Overall styles
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette {
+ padding-bottom: 0;
+ color: var(--jp-ui-font-color1);
+ background: var(--jp-layout-color1);
+
+ /* This is needed so that all font sizing of children done in ems is
+ * relative to this base size */
+ font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Modal variant
+|----------------------------------------------------------------------------*/
+
+.jp-ModalCommandPalette {
+ position: absolute;
+ z-index: 10000;
+ top: 38px;
+ left: 30%;
+ margin: 0;
+ padding: 4px;
+ width: 40%;
+ box-shadow: var(--jp-elevation-z4);
+ border-radius: 4px;
+ background: var(--jp-layout-color0);
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette {
+ max-height: 40vh;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-close-icon::after {
+ display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-header {
+ display: none;
+}
+
+.jp-ModalCommandPalette .lm-CommandPalette .lm-CommandPalette-item {
+ margin-left: 4px;
+ margin-right: 4px;
+}
+
+.jp-ModalCommandPalette
+ .lm-CommandPalette
+ .lm-CommandPalette-item.lm-mod-disabled {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Search
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-search {
+ padding: 4px;
+ background-color: var(--jp-layout-color1);
+ z-index: 2;
+}
+
+.lm-CommandPalette-wrapper {
+ overflow: overlay;
+ padding: 0 9px;
+ background-color: var(--jp-input-active-background);
+ height: 30px;
+ box-shadow: inset 0 0 0 var(--jp-border-width) var(--jp-input-border-color);
+}
+
+.lm-CommandPalette.lm-mod-focused .lm-CommandPalette-wrapper {
+ box-shadow: inset 0 0 0 1px var(--jp-input-active-box-shadow-color),
+ inset 0 0 0 3px var(--jp-input-active-box-shadow-color);
+}
+
+.jp-SearchIconGroup {
+ color: white;
+ background-color: var(--jp-brand-color1);
+ position: absolute;
+ top: 4px;
+ right: 4px;
+ padding: 5px 5px 1px;
+}
+
+.jp-SearchIconGroup svg {
+ height: 20px;
+ width: 20px;
+}
+
+.jp-SearchIconGroup .jp-icon3[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-input {
+ background: transparent;
+ width: calc(100% - 18px);
+ float: left;
+ border: none;
+ outline: none;
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color0);
+ line-height: var(--jp-private-commandpalette-search-height);
+}
+
+.lm-CommandPalette-input::-webkit-input-placeholder,
+.lm-CommandPalette-input::-moz-placeholder,
+.lm-CommandPalette-input:-ms-input-placeholder {
+ color: var(--jp-ui-font-color2);
+ font-size: var(--jp-ui-font-size1);
+}
+
+/*-----------------------------------------------------------------------------
+| Results
+|----------------------------------------------------------------------------*/
+
+.lm-CommandPalette-header:first-child {
+ margin-top: 0;
+}
+
+.lm-CommandPalette-header {
+ border-bottom: solid var(--jp-border-width) var(--jp-border-color2);
+ color: var(--jp-ui-font-color1);
+ cursor: pointer;
+ display: flex;
+ font-size: var(--jp-ui-font-size0);
+ font-weight: 600;
+ letter-spacing: 1px;
+ margin-top: 8px;
+ padding: 8px 0 8px 12px;
+ text-transform: uppercase;
+}
+
+.lm-CommandPalette-header.lm-mod-active {
+ background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-header > mark {
+ background-color: transparent;
+ font-weight: bold;
+ color: var(--jp-ui-font-color1);
+}
+
+.lm-CommandPalette-item {
+ padding: 4px 12px 4px 4px;
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ font-weight: 400;
+ display: flex;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled {
+ color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item.lm-mod-active {
+ color: var(--jp-ui-inverse-font-color1);
+ background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item.lm-mod-active .lm-CommandPalette-itemLabel > mark {
+ color: var(--jp-ui-inverse-font-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active .jp-icon-selectable[fill] {
+ fill: var(--jp-layout-color0);
+}
+
+.lm-CommandPalette-item.lm-mod-active:hover:not(.lm-mod-disabled) {
+ color: var(--jp-ui-inverse-font-color1);
+ background: var(--jp-brand-color1);
+}
+
+.lm-CommandPalette-item:hover:not(.lm-mod-active):not(.lm-mod-disabled) {
+ background: var(--jp-layout-color2);
+}
+
+.lm-CommandPalette-itemContent {
+ overflow: hidden;
+}
+
+.lm-CommandPalette-itemLabel > mark {
+ color: var(--jp-ui-font-color0);
+ background-color: transparent;
+ font-weight: bold;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled mark {
+ color: var(--jp-ui-font-color2);
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemIcon {
+ margin: 0 4px 0 0;
+ position: relative;
+ width: 16px;
+ top: 2px;
+ flex: 0 0 auto;
+}
+
+.lm-CommandPalette-item.lm-mod-disabled .lm-CommandPalette-itemIcon {
+ opacity: 0.6;
+}
+
+.lm-CommandPalette-item .lm-CommandPalette-itemShortcut {
+ flex: 0 0 auto;
+}
+
+.lm-CommandPalette-itemCaption {
+ display: none;
+}
+
+.lm-CommandPalette-content {
+ background-color: var(--jp-layout-color1);
+}
+
+.lm-CommandPalette-content:empty::after {
+ content: 'No results';
+ margin: auto;
+ margin-top: 20px;
+ width: 100px;
+ display: block;
+ font-size: var(--jp-ui-font-size2);
+ font-family: var(--jp-ui-font-family);
+ font-weight: lighter;
+}
+
+.lm-CommandPalette-emptyMessage {
+ text-align: center;
+ margin-top: 24px;
+ line-height: 1.32;
+ padding: 0 8px;
+ color: var(--jp-content-font-color3);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Dialog {
+ position: absolute;
+ z-index: 10000;
+ display: flex;
+ flex-direction: column;
+ align-items: center;
+ justify-content: center;
+ top: 0;
+ left: 0;
+ margin: 0;
+ padding: 0;
+ width: 100%;
+ height: 100%;
+ background: var(--jp-dialog-background);
+}
+
+.jp-Dialog-content {
+ display: flex;
+ flex-direction: column;
+ margin-left: auto;
+ margin-right: auto;
+ background: var(--jp-layout-color1);
+ padding: 24px 24px 12px;
+ min-width: 300px;
+ min-height: 150px;
+ max-width: 1000px;
+ max-height: 500px;
+ box-sizing: border-box;
+ box-shadow: var(--jp-elevation-z20);
+ word-wrap: break-word;
+ border-radius: var(--jp-border-radius);
+
+ /* This is needed so that all font sizing of children done in ems is
+ * relative to this base size */
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color1);
+ resize: both;
+}
+
+.jp-Dialog-content.jp-Dialog-content-small {
+ max-width: 500px;
+}
+
+.jp-Dialog-button {
+ overflow: visible;
+}
+
+button.jp-Dialog-button:focus {
+ outline: 1px solid var(--jp-brand-color1);
+ outline-offset: 4px;
+ -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button:focus::-moz-focus-inner {
+ border: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus,
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+ outline-offset: 4px;
+ -moz-outline-radius: 0;
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-accept:focus {
+ outline: 1px solid var(--jp-accept-color-normal, var(--jp-brand-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-warn:focus {
+ outline: 1px solid var(--jp-warn-color-normal, var(--jp-error-color1));
+}
+
+button.jp-Dialog-button.jp-mod-styled.jp-mod-reject:focus {
+ outline: 1px solid var(--jp-reject-color-normal, var(--md-grey-600));
+}
+
+button.jp-Dialog-close-button {
+ padding: 0;
+ height: 100%;
+ min-width: unset;
+ min-height: unset;
+}
+
+.jp-Dialog-header {
+ display: flex;
+ justify-content: space-between;
+ flex: 0 0 auto;
+ padding-bottom: 12px;
+ font-size: var(--jp-ui-font-size3);
+ font-weight: 400;
+ color: var(--jp-ui-font-color1);
+}
+
+.jp-Dialog-body {
+ display: flex;
+ flex-direction: column;
+ flex: 1 1 auto;
+ font-size: var(--jp-ui-font-size1);
+ background: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ overflow: auto;
+}
+
+.jp-Dialog-footer {
+ display: flex;
+ flex-direction: row;
+ justify-content: flex-end;
+ align-items: center;
+ flex: 0 0 auto;
+ margin-left: -12px;
+ margin-right: -12px;
+ padding: 12px;
+}
+
+.jp-Dialog-checkbox {
+ padding-right: 5px;
+}
+
+.jp-Dialog-checkbox > input:focus-visible {
+ outline: 1px solid var(--jp-input-active-border-color);
+ outline-offset: 1px;
+}
+
+.jp-Dialog-spacer {
+ flex: 1 1 auto;
+}
+
+.jp-Dialog-title {
+ overflow: hidden;
+ white-space: nowrap;
+ text-overflow: ellipsis;
+}
+
+.jp-Dialog-body > .jp-select-wrapper {
+ width: 100%;
+}
+
+.jp-Dialog-body > button {
+ padding: 0 16px;
+}
+
+.jp-Dialog-body > label {
+ line-height: 1.4;
+ color: var(--jp-ui-font-color0);
+}
+
+.jp-Dialog-button.jp-mod-styled:not(:last-child) {
+ margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Input-Boolean-Dialog {
+ flex-direction: row-reverse;
+ align-items: end;
+ width: 100%;
+}
+
+.jp-Input-Boolean-Dialog > label {
+ flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MainAreaWidget > :focus {
+ outline: none;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error {
+ padding: 6px;
+}
+
+.jp-MainAreaWidget .jp-MainAreaWidget-error > pre {
+ width: auto;
+ padding: 10px;
+ background: var(--jp-error-color3);
+ border: var(--jp-border-width) solid var(--jp-error-color1);
+ border-radius: var(--jp-border-radius);
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ white-space: pre-wrap;
+ word-wrap: break-word;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/**
+ * google-material-color v1.2.6
+ * https://github.com/danlevan/google-material-color
+ */
+:root {
+ --md-red-50: #ffebee;
+ --md-red-100: #ffcdd2;
+ --md-red-200: #ef9a9a;
+ --md-red-300: #e57373;
+ --md-red-400: #ef5350;
+ --md-red-500: #f44336;
+ --md-red-600: #e53935;
+ --md-red-700: #d32f2f;
+ --md-red-800: #c62828;
+ --md-red-900: #b71c1c;
+ --md-red-A100: #ff8a80;
+ --md-red-A200: #ff5252;
+ --md-red-A400: #ff1744;
+ --md-red-A700: #d50000;
+ --md-pink-50: #fce4ec;
+ --md-pink-100: #f8bbd0;
+ --md-pink-200: #f48fb1;
+ --md-pink-300: #f06292;
+ --md-pink-400: #ec407a;
+ --md-pink-500: #e91e63;
+ --md-pink-600: #d81b60;
+ --md-pink-700: #c2185b;
+ --md-pink-800: #ad1457;
+ --md-pink-900: #880e4f;
+ --md-pink-A100: #ff80ab;
+ --md-pink-A200: #ff4081;
+ --md-pink-A400: #f50057;
+ --md-pink-A700: #c51162;
+ --md-purple-50: #f3e5f5;
+ --md-purple-100: #e1bee7;
+ --md-purple-200: #ce93d8;
+ --md-purple-300: #ba68c8;
+ --md-purple-400: #ab47bc;
+ --md-purple-500: #9c27b0;
+ --md-purple-600: #8e24aa;
+ --md-purple-700: #7b1fa2;
+ --md-purple-800: #6a1b9a;
+ --md-purple-900: #4a148c;
+ --md-purple-A100: #ea80fc;
+ --md-purple-A200: #e040fb;
+ --md-purple-A400: #d500f9;
+ --md-purple-A700: #a0f;
+ --md-deep-purple-50: #ede7f6;
+ --md-deep-purple-100: #d1c4e9;
+ --md-deep-purple-200: #b39ddb;
+ --md-deep-purple-300: #9575cd;
+ --md-deep-purple-400: #7e57c2;
+ --md-deep-purple-500: #673ab7;
+ --md-deep-purple-600: #5e35b1;
+ --md-deep-purple-700: #512da8;
+ --md-deep-purple-800: #4527a0;
+ --md-deep-purple-900: #311b92;
+ --md-deep-purple-A100: #b388ff;
+ --md-deep-purple-A200: #7c4dff;
+ --md-deep-purple-A400: #651fff;
+ --md-deep-purple-A700: #6200ea;
+ --md-indigo-50: #e8eaf6;
+ --md-indigo-100: #c5cae9;
+ --md-indigo-200: #9fa8da;
+ --md-indigo-300: #7986cb;
+ --md-indigo-400: #5c6bc0;
+ --md-indigo-500: #3f51b5;
+ --md-indigo-600: #3949ab;
+ --md-indigo-700: #303f9f;
+ --md-indigo-800: #283593;
+ --md-indigo-900: #1a237e;
+ --md-indigo-A100: #8c9eff;
+ --md-indigo-A200: #536dfe;
+ --md-indigo-A400: #3d5afe;
+ --md-indigo-A700: #304ffe;
+ --md-blue-50: #e3f2fd;
+ --md-blue-100: #bbdefb;
+ --md-blue-200: #90caf9;
+ --md-blue-300: #64b5f6;
+ --md-blue-400: #42a5f5;
+ --md-blue-500: #2196f3;
+ --md-blue-600: #1e88e5;
+ --md-blue-700: #1976d2;
+ --md-blue-800: #1565c0;
+ --md-blue-900: #0d47a1;
+ --md-blue-A100: #82b1ff;
+ --md-blue-A200: #448aff;
+ --md-blue-A400: #2979ff;
+ --md-blue-A700: #2962ff;
+ --md-light-blue-50: #e1f5fe;
+ --md-light-blue-100: #b3e5fc;
+ --md-light-blue-200: #81d4fa;
+ --md-light-blue-300: #4fc3f7;
+ --md-light-blue-400: #29b6f6;
+ --md-light-blue-500: #03a9f4;
+ --md-light-blue-600: #039be5;
+ --md-light-blue-700: #0288d1;
+ --md-light-blue-800: #0277bd;
+ --md-light-blue-900: #01579b;
+ --md-light-blue-A100: #80d8ff;
+ --md-light-blue-A200: #40c4ff;
+ --md-light-blue-A400: #00b0ff;
+ --md-light-blue-A700: #0091ea;
+ --md-cyan-50: #e0f7fa;
+ --md-cyan-100: #b2ebf2;
+ --md-cyan-200: #80deea;
+ --md-cyan-300: #4dd0e1;
+ --md-cyan-400: #26c6da;
+ --md-cyan-500: #00bcd4;
+ --md-cyan-600: #00acc1;
+ --md-cyan-700: #0097a7;
+ --md-cyan-800: #00838f;
+ --md-cyan-900: #006064;
+ --md-cyan-A100: #84ffff;
+ --md-cyan-A200: #18ffff;
+ --md-cyan-A400: #00e5ff;
+ --md-cyan-A700: #00b8d4;
+ --md-teal-50: #e0f2f1;
+ --md-teal-100: #b2dfdb;
+ --md-teal-200: #80cbc4;
+ --md-teal-300: #4db6ac;
+ --md-teal-400: #26a69a;
+ --md-teal-500: #009688;
+ --md-teal-600: #00897b;
+ --md-teal-700: #00796b;
+ --md-teal-800: #00695c;
+ --md-teal-900: #004d40;
+ --md-teal-A100: #a7ffeb;
+ --md-teal-A200: #64ffda;
+ --md-teal-A400: #1de9b6;
+ --md-teal-A700: #00bfa5;
+ --md-green-50: #e8f5e9;
+ --md-green-100: #c8e6c9;
+ --md-green-200: #a5d6a7;
+ --md-green-300: #81c784;
+ --md-green-400: #66bb6a;
+ --md-green-500: #4caf50;
+ --md-green-600: #43a047;
+ --md-green-700: #388e3c;
+ --md-green-800: #2e7d32;
+ --md-green-900: #1b5e20;
+ --md-green-A100: #b9f6ca;
+ --md-green-A200: #69f0ae;
+ --md-green-A400: #00e676;
+ --md-green-A700: #00c853;
+ --md-light-green-50: #f1f8e9;
+ --md-light-green-100: #dcedc8;
+ --md-light-green-200: #c5e1a5;
+ --md-light-green-300: #aed581;
+ --md-light-green-400: #9ccc65;
+ --md-light-green-500: #8bc34a;
+ --md-light-green-600: #7cb342;
+ --md-light-green-700: #689f38;
+ --md-light-green-800: #558b2f;
+ --md-light-green-900: #33691e;
+ --md-light-green-A100: #ccff90;
+ --md-light-green-A200: #b2ff59;
+ --md-light-green-A400: #76ff03;
+ --md-light-green-A700: #64dd17;
+ --md-lime-50: #f9fbe7;
+ --md-lime-100: #f0f4c3;
+ --md-lime-200: #e6ee9c;
+ --md-lime-300: #dce775;
+ --md-lime-400: #d4e157;
+ --md-lime-500: #cddc39;
+ --md-lime-600: #c0ca33;
+ --md-lime-700: #afb42b;
+ --md-lime-800: #9e9d24;
+ --md-lime-900: #827717;
+ --md-lime-A100: #f4ff81;
+ --md-lime-A200: #eeff41;
+ --md-lime-A400: #c6ff00;
+ --md-lime-A700: #aeea00;
+ --md-yellow-50: #fffde7;
+ --md-yellow-100: #fff9c4;
+ --md-yellow-200: #fff59d;
+ --md-yellow-300: #fff176;
+ --md-yellow-400: #ffee58;
+ --md-yellow-500: #ffeb3b;
+ --md-yellow-600: #fdd835;
+ --md-yellow-700: #fbc02d;
+ --md-yellow-800: #f9a825;
+ --md-yellow-900: #f57f17;
+ --md-yellow-A100: #ffff8d;
+ --md-yellow-A200: #ff0;
+ --md-yellow-A400: #ffea00;
+ --md-yellow-A700: #ffd600;
+ --md-amber-50: #fff8e1;
+ --md-amber-100: #ffecb3;
+ --md-amber-200: #ffe082;
+ --md-amber-300: #ffd54f;
+ --md-amber-400: #ffca28;
+ --md-amber-500: #ffc107;
+ --md-amber-600: #ffb300;
+ --md-amber-700: #ffa000;
+ --md-amber-800: #ff8f00;
+ --md-amber-900: #ff6f00;
+ --md-amber-A100: #ffe57f;
+ --md-amber-A200: #ffd740;
+ --md-amber-A400: #ffc400;
+ --md-amber-A700: #ffab00;
+ --md-orange-50: #fff3e0;
+ --md-orange-100: #ffe0b2;
+ --md-orange-200: #ffcc80;
+ --md-orange-300: #ffb74d;
+ --md-orange-400: #ffa726;
+ --md-orange-500: #ff9800;
+ --md-orange-600: #fb8c00;
+ --md-orange-700: #f57c00;
+ --md-orange-800: #ef6c00;
+ --md-orange-900: #e65100;
+ --md-orange-A100: #ffd180;
+ --md-orange-A200: #ffab40;
+ --md-orange-A400: #ff9100;
+ --md-orange-A700: #ff6d00;
+ --md-deep-orange-50: #fbe9e7;
+ --md-deep-orange-100: #ffccbc;
+ --md-deep-orange-200: #ffab91;
+ --md-deep-orange-300: #ff8a65;
+ --md-deep-orange-400: #ff7043;
+ --md-deep-orange-500: #ff5722;
+ --md-deep-orange-600: #f4511e;
+ --md-deep-orange-700: #e64a19;
+ --md-deep-orange-800: #d84315;
+ --md-deep-orange-900: #bf360c;
+ --md-deep-orange-A100: #ff9e80;
+ --md-deep-orange-A200: #ff6e40;
+ --md-deep-orange-A400: #ff3d00;
+ --md-deep-orange-A700: #dd2c00;
+ --md-brown-50: #efebe9;
+ --md-brown-100: #d7ccc8;
+ --md-brown-200: #bcaaa4;
+ --md-brown-300: #a1887f;
+ --md-brown-400: #8d6e63;
+ --md-brown-500: #795548;
+ --md-brown-600: #6d4c41;
+ --md-brown-700: #5d4037;
+ --md-brown-800: #4e342e;
+ --md-brown-900: #3e2723;
+ --md-grey-50: #fafafa;
+ --md-grey-100: #f5f5f5;
+ --md-grey-200: #eee;
+ --md-grey-300: #e0e0e0;
+ --md-grey-400: #bdbdbd;
+ --md-grey-500: #9e9e9e;
+ --md-grey-600: #757575;
+ --md-grey-700: #616161;
+ --md-grey-800: #424242;
+ --md-grey-900: #212121;
+ --md-blue-grey-50: #eceff1;
+ --md-blue-grey-100: #cfd8dc;
+ --md-blue-grey-200: #b0bec5;
+ --md-blue-grey-300: #90a4ae;
+ --md-blue-grey-400: #78909c;
+ --md-blue-grey-500: #607d8b;
+ --md-blue-grey-600: #546e7a;
+ --md-blue-grey-700: #455a64;
+ --md-blue-grey-800: #37474f;
+ --md-blue-grey-900: #263238;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2017, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| RenderedText
+|----------------------------------------------------------------------------*/
+
+:root {
+ /* This is the padding value to fill the gaps between lines containing spans with background color. */
+ --jp-private-code-span-padding: calc(
+ (var(--jp-code-line-height) - 1) * var(--jp-code-font-size) / 2
+ );
+}
+
+.jp-RenderedText {
+ text-align: left;
+ padding-left: var(--jp-code-padding);
+ line-height: var(--jp-code-line-height);
+ font-family: var(--jp-code-font-family);
+}
+
+.jp-RenderedText pre,
+.jp-RenderedJavaScript pre,
+.jp-RenderedHTMLCommon pre {
+ color: var(--jp-content-font-color1);
+ font-size: var(--jp-code-font-size);
+ border: none;
+ margin: 0;
+ padding: 0;
+}
+
+.jp-RenderedText pre a:link {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:hover {
+ text-decoration: underline;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedText pre a:visited {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+/* console foregrounds and backgrounds */
+.jp-RenderedText pre .ansi-black-fg {
+ color: #3e424d;
+}
+
+.jp-RenderedText pre .ansi-red-fg {
+ color: #e75c58;
+}
+
+.jp-RenderedText pre .ansi-green-fg {
+ color: #00a250;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+ color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+ color: #208ffb;
+}
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+.jp-RenderedText pre .ansi-magenta-fg {
+ color: #d160c4;
+}
+
+.jp-RenderedText pre .ansi-cyan-fg {
+ color: #60c6c8;
+}
+
+.jp-RenderedText pre .ansi-white-fg {
+ color: #c5c1b4;
+}
+
+.jp-RenderedText pre .ansi-black-bg {
+ background-color: #3e424d;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-bg {
+ background-color: #e75c58;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-bg {
+ background-color: #00a250;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-bg {
+ background-color: #ddb62b;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-bg {
+ background-color: #208ffb;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-bg {
+ background-color: #d160c4;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-bg {
+ background-color: #60c6c8;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-bg {
+ background-color: #c5c1b4;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-black-intense-fg {
+ color: #282c36;
+}
+
+.jp-RenderedText pre .ansi-red-intense-fg {
+ color: #b22b31;
+}
+
+.jp-RenderedText pre .ansi-green-intense-fg {
+ color: #007427;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-fg {
+ color: #b27d12;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-fg {
+ color: #0065ca;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-fg {
+ color: #a03196;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-fg {
+ color: #258f8f;
+}
+
+.jp-RenderedText pre .ansi-white-intense-fg {
+ color: #a1a6b2;
+}
+
+.jp-RenderedText pre .ansi-black-intense-bg {
+ background-color: #282c36;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-red-intense-bg {
+ background-color: #b22b31;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-green-intense-bg {
+ background-color: #007427;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-yellow-intense-bg {
+ background-color: #b27d12;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-blue-intense-bg {
+ background-color: #0065ca;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-magenta-intense-bg {
+ background-color: #a03196;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-cyan-intense-bg {
+ background-color: #258f8f;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-white-intense-bg {
+ background-color: #a1a6b2;
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-default-inverse-fg {
+ color: var(--jp-ui-inverse-font-color0);
+}
+
+.jp-RenderedText pre .ansi-default-inverse-bg {
+ background-color: var(--jp-inverse-layout-color0);
+ padding: var(--jp-private-code-span-padding) 0;
+}
+
+.jp-RenderedText pre .ansi-bold {
+ font-weight: bold;
+}
+
+.jp-RenderedText pre .ansi-underline {
+ text-decoration: underline;
+}
+
+.jp-RenderedText[data-mime-type='application/vnd.jupyter.stderr'] {
+ background: var(--jp-rendermime-error-background);
+ padding-top: var(--jp-code-padding);
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedLatex
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedLatex {
+ color: var(--jp-content-font-color1);
+ font-size: var(--jp-content-font-size1);
+ line-height: var(--jp-content-line-height);
+}
+
+/* Left-justify outputs.*/
+.jp-OutputArea-output.jp-RenderedLatex {
+ padding: var(--jp-code-padding);
+ text-align: left;
+}
+
+/*-----------------------------------------------------------------------------
+| RenderedHTML
+|----------------------------------------------------------------------------*/
+
+.jp-RenderedHTMLCommon {
+ color: var(--jp-content-font-color1);
+ font-family: var(--jp-content-font-family);
+ font-size: var(--jp-content-font-size1);
+ line-height: var(--jp-content-line-height);
+
+ /* Give a bit more R padding on Markdown text to keep line lengths reasonable */
+ padding-right: 20px;
+}
+
+.jp-RenderedHTMLCommon em {
+ font-style: italic;
+}
+
+.jp-RenderedHTMLCommon strong {
+ font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon u {
+ text-decoration: underline;
+}
+
+.jp-RenderedHTMLCommon a:link {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:hover {
+ text-decoration: underline;
+ color: var(--jp-content-link-color);
+}
+
+.jp-RenderedHTMLCommon a:visited {
+ text-decoration: none;
+ color: var(--jp-content-link-color);
+}
+
+/* Headings */
+
+.jp-RenderedHTMLCommon h1,
+.jp-RenderedHTMLCommon h2,
+.jp-RenderedHTMLCommon h3,
+.jp-RenderedHTMLCommon h4,
+.jp-RenderedHTMLCommon h5,
+.jp-RenderedHTMLCommon h6 {
+ line-height: var(--jp-content-heading-line-height);
+ font-weight: var(--jp-content-heading-font-weight);
+ font-style: normal;
+ margin: var(--jp-content-heading-margin-top) 0
+ var(--jp-content-heading-margin-bottom) 0;
+}
+
+.jp-RenderedHTMLCommon h1:first-child,
+.jp-RenderedHTMLCommon h2:first-child,
+.jp-RenderedHTMLCommon h3:first-child,
+.jp-RenderedHTMLCommon h4:first-child,
+.jp-RenderedHTMLCommon h5:first-child,
+.jp-RenderedHTMLCommon h6:first-child {
+ margin-top: calc(0.5 * var(--jp-content-heading-margin-top));
+}
+
+.jp-RenderedHTMLCommon h1:last-child,
+.jp-RenderedHTMLCommon h2:last-child,
+.jp-RenderedHTMLCommon h3:last-child,
+.jp-RenderedHTMLCommon h4:last-child,
+.jp-RenderedHTMLCommon h5:last-child,
+.jp-RenderedHTMLCommon h6:last-child {
+ margin-bottom: calc(0.5 * var(--jp-content-heading-margin-bottom));
+}
+
+.jp-RenderedHTMLCommon h1 {
+ font-size: var(--jp-content-font-size5);
+}
+
+.jp-RenderedHTMLCommon h2 {
+ font-size: var(--jp-content-font-size4);
+}
+
+.jp-RenderedHTMLCommon h3 {
+ font-size: var(--jp-content-font-size3);
+}
+
+.jp-RenderedHTMLCommon h4 {
+ font-size: var(--jp-content-font-size2);
+}
+
+.jp-RenderedHTMLCommon h5 {
+ font-size: var(--jp-content-font-size1);
+}
+
+.jp-RenderedHTMLCommon h6 {
+ font-size: var(--jp-content-font-size0);
+}
+
+/* Lists */
+
+/* stylelint-disable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon ul:not(.list-inline),
+.jp-RenderedHTMLCommon ol:not(.list-inline) {
+ padding-left: 2em;
+}
+
+.jp-RenderedHTMLCommon ul {
+ list-style: disc;
+}
+
+.jp-RenderedHTMLCommon ul ul {
+ list-style: square;
+}
+
+.jp-RenderedHTMLCommon ul ul ul {
+ list-style: circle;
+}
+
+.jp-RenderedHTMLCommon ol {
+ list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol ol {
+ list-style: upper-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol {
+ list-style: lower-alpha;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol {
+ list-style: lower-roman;
+}
+
+.jp-RenderedHTMLCommon ol ol ol ol ol {
+ list-style: decimal;
+}
+
+.jp-RenderedHTMLCommon ol,
+.jp-RenderedHTMLCommon ul {
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon ul ul,
+.jp-RenderedHTMLCommon ul ol,
+.jp-RenderedHTMLCommon ol ul,
+.jp-RenderedHTMLCommon ol ol {
+ margin-bottom: 0;
+}
+
+/* stylelint-enable selector-max-type, selector-max-compound-selectors */
+
+.jp-RenderedHTMLCommon hr {
+ color: var(--jp-border-color2);
+ background-color: var(--jp-border-color1);
+ margin-top: 1em;
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon > pre {
+ margin: 1.5em 2em;
+}
+
+.jp-RenderedHTMLCommon pre,
+.jp-RenderedHTMLCommon code {
+ border: 0;
+ background-color: var(--jp-layout-color0);
+ color: var(--jp-content-font-color1);
+ font-family: var(--jp-code-font-family);
+ font-size: inherit;
+ line-height: var(--jp-code-line-height);
+ padding: 0;
+ white-space: pre-wrap;
+}
+
+.jp-RenderedHTMLCommon :not(pre) > code {
+ background-color: var(--jp-layout-color2);
+ padding: 1px 5px;
+}
+
+/* Tables */
+
+.jp-RenderedHTMLCommon table {
+ border-collapse: collapse;
+ border-spacing: 0;
+ border: none;
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ table-layout: fixed;
+ margin-left: auto;
+ margin-bottom: 1em;
+ margin-right: auto;
+}
+
+.jp-RenderedHTMLCommon thead {
+ border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+ vertical-align: bottom;
+}
+
+.jp-RenderedHTMLCommon td,
+.jp-RenderedHTMLCommon th,
+.jp-RenderedHTMLCommon tr {
+ vertical-align: middle;
+ padding: 0.5em;
+ line-height: normal;
+ white-space: normal;
+ max-width: none;
+ border: none;
+}
+
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon td,
+.jp-RenderedMarkdown.jp-RenderedHTMLCommon th {
+ max-width: none;
+}
+
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon td,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon th,
+:not(.jp-RenderedMarkdown).jp-RenderedHTMLCommon tr {
+ text-align: right;
+}
+
+.jp-RenderedHTMLCommon th {
+ font-weight: bold;
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(odd) {
+ background: var(--jp-layout-color0);
+}
+
+.jp-RenderedHTMLCommon tbody tr:nth-child(even) {
+ background: var(--jp-rendermime-table-row-background);
+}
+
+.jp-RenderedHTMLCommon tbody tr:hover {
+ background: var(--jp-rendermime-table-row-hover-background);
+}
+
+.jp-RenderedHTMLCommon p {
+ text-align: left;
+ margin: 0;
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon img {
+ -moz-force-broken-image-icon: 1;
+}
+
+/* Restrict to direct children as other images could be nested in other content. */
+.jp-RenderedHTMLCommon > img {
+ display: block;
+ margin-left: 0;
+ margin-right: 0;
+ margin-bottom: 1em;
+}
+
+/* Change color behind transparent images if they need it... */
+[data-jp-theme-light='false'] .jp-RenderedImage img.jp-needs-light-background {
+ background-color: var(--jp-inverse-layout-color1);
+}
+
+[data-jp-theme-light='true'] .jp-RenderedImage img.jp-needs-dark-background {
+ background-color: var(--jp-inverse-layout-color1);
+}
+
+.jp-RenderedHTMLCommon img,
+.jp-RenderedImage img,
+.jp-RenderedHTMLCommon svg,
+.jp-RenderedSVG svg {
+ max-width: 100%;
+ height: auto;
+}
+
+.jp-RenderedHTMLCommon img.jp-mod-unconfined,
+.jp-RenderedImage img.jp-mod-unconfined,
+.jp-RenderedHTMLCommon svg.jp-mod-unconfined,
+.jp-RenderedSVG svg.jp-mod-unconfined {
+ max-width: none;
+}
+
+.jp-RenderedHTMLCommon .alert {
+ padding: var(--jp-notebook-padding);
+ border: var(--jp-border-width) solid transparent;
+ border-radius: var(--jp-border-radius);
+ margin-bottom: 1em;
+}
+
+.jp-RenderedHTMLCommon .alert-info {
+ color: var(--jp-info-color0);
+ background-color: var(--jp-info-color3);
+ border-color: var(--jp-info-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-info hr {
+ border-color: var(--jp-info-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-info > p:last-child,
+.jp-RenderedHTMLCommon .alert-info > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-warning {
+ color: var(--jp-warn-color0);
+ background-color: var(--jp-warn-color3);
+ border-color: var(--jp-warn-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-warning hr {
+ border-color: var(--jp-warn-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-warning > p:last-child,
+.jp-RenderedHTMLCommon .alert-warning > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-success {
+ color: var(--jp-success-color0);
+ background-color: var(--jp-success-color3);
+ border-color: var(--jp-success-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-success hr {
+ border-color: var(--jp-success-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-success > p:last-child,
+.jp-RenderedHTMLCommon .alert-success > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon .alert-danger {
+ color: var(--jp-error-color0);
+ background-color: var(--jp-error-color3);
+ border-color: var(--jp-error-color2);
+}
+
+.jp-RenderedHTMLCommon .alert-danger hr {
+ border-color: var(--jp-error-color3);
+}
+
+.jp-RenderedHTMLCommon .alert-danger > p:last-child,
+.jp-RenderedHTMLCommon .alert-danger > ul:last-child {
+ margin-bottom: 0;
+}
+
+.jp-RenderedHTMLCommon blockquote {
+ margin: 1em 2em;
+ padding: 0 1em;
+ border-left: 5px solid var(--jp-border-color2);
+}
+
+a.jp-InternalAnchorLink {
+ visibility: hidden;
+ margin-left: 8px;
+ color: var(--md-blue-800);
+}
+
+h1:hover .jp-InternalAnchorLink,
+h2:hover .jp-InternalAnchorLink,
+h3:hover .jp-InternalAnchorLink,
+h4:hover .jp-InternalAnchorLink,
+h5:hover .jp-InternalAnchorLink,
+h6:hover .jp-InternalAnchorLink {
+ visibility: visible;
+}
+
+.jp-RenderedHTMLCommon kbd {
+ background-color: var(--jp-rendermime-table-row-background);
+ border: 1px solid var(--jp-border-color0);
+ border-bottom-color: var(--jp-border-color2);
+ border-radius: 3px;
+ box-shadow: inset 0 -1px 0 rgba(0, 0, 0, 0.25);
+ display: inline-block;
+ font-size: var(--jp-ui-font-size0);
+ line-height: 1em;
+ padding: 0.2em 0.5em;
+}
+
+/* Most direct children of .jp-RenderedHTMLCommon have a margin-bottom of 1.0.
+ * At the bottom of cells this is a bit too much as there is also spacing
+ * between cells. Going all the way to 0 gets too tight between markdown and
+ * code cells.
+ */
+.jp-RenderedHTMLCommon > *:last-child {
+ margin-bottom: 0.5em;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Copyright (c) 2014-2017, PhosphorJS Contributors
+|
+| Distributed under the terms of the BSD 3-Clause License.
+|
+| The full license is in the file LICENSE, distributed with this software.
+|----------------------------------------------------------------------------*/
+
+.lm-cursor-backdrop {
+ position: fixed;
+ width: 200px;
+ height: 200px;
+ margin-top: -100px;
+ margin-left: -100px;
+ will-change: transform;
+ z-index: 100;
+}
+
+.lm-mod-drag-image {
+ will-change: transform;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-lineFormSearch {
+ padding: 4px 12px;
+ background-color: var(--jp-layout-color2);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ z-index: 2;
+ font-size: var(--jp-ui-font-size1);
+}
+
+.jp-lineFormCaption {
+ font-size: var(--jp-ui-font-size0);
+ line-height: var(--jp-ui-font-size1);
+ margin-top: 4px;
+ color: var(--jp-ui-font-color0);
+}
+
+.jp-baseLineForm {
+ border: none;
+ border-radius: 0;
+ position: absolute;
+ background-size: 16px;
+ background-repeat: no-repeat;
+ background-position: center;
+ outline: none;
+}
+
+.jp-lineFormButtonContainer {
+ top: 4px;
+ right: 8px;
+ height: 24px;
+ padding: 0 12px;
+ width: 12px;
+}
+
+.jp-lineFormButtonIcon {
+ top: 0;
+ right: 0;
+ background-color: var(--jp-brand-color1);
+ height: 100%;
+ width: 100%;
+ box-sizing: border-box;
+ padding: 4px 6px;
+}
+
+.jp-lineFormButton {
+ top: 0;
+ right: 0;
+ background-color: transparent;
+ height: 100%;
+ width: 100%;
+ box-sizing: border-box;
+}
+
+.jp-lineFormWrapper {
+ overflow: hidden;
+ padding: 0 8px;
+ border: 1px solid var(--jp-border-color0);
+ background-color: var(--jp-input-active-background);
+ height: 22px;
+}
+
+.jp-lineFormWrapperFocusWithin {
+ border: var(--jp-border-width) solid var(--md-blue-500);
+ box-shadow: inset 0 0 4px var(--md-blue-300);
+}
+
+.jp-lineFormInput {
+ background: transparent;
+ width: 200px;
+ height: 100%;
+ border: none;
+ outline: none;
+ color: var(--jp-ui-font-color0);
+ line-height: 28px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) 2014-2016, Jupyter Development Team.
+|
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-JSONEditor {
+ display: flex;
+ flex-direction: column;
+ width: 100%;
+}
+
+.jp-JSONEditor-host {
+ flex: 1 1 auto;
+ border: var(--jp-border-width) solid var(--jp-input-border-color);
+ border-radius: 0;
+ background: var(--jp-layout-color0);
+ min-height: 50px;
+ padding: 1px;
+}
+
+.jp-JSONEditor.jp-mod-error .jp-JSONEditor-host {
+ border-color: red;
+ outline-color: red;
+}
+
+.jp-JSONEditor-header {
+ display: flex;
+ flex: 1 0 auto;
+ padding: 0 0 0 12px;
+}
+
+.jp-JSONEditor-header label {
+ flex: 0 0 auto;
+}
+
+.jp-JSONEditor-commitButton {
+ height: 16px;
+ width: 16px;
+ background-size: 18px;
+ background-repeat: no-repeat;
+ background-position: center;
+}
+
+.jp-JSONEditor-host.jp-mod-focused {
+ background-color: var(--jp-input-active-background);
+ border: 1px solid var(--jp-input-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+}
+
+.jp-Editor.jp-mod-dropTarget {
+ border: var(--jp-border-width) solid var(--jp-input-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+.jp-DocumentSearch-input {
+ border: none;
+ outline: none;
+ color: var(--jp-ui-font-color0);
+ font-size: var(--jp-ui-font-size1);
+ background-color: var(--jp-layout-color0);
+ font-family: var(--jp-ui-font-family);
+ padding: 2px 1px;
+ resize: none;
+}
+
+.jp-DocumentSearch-overlay {
+ position: absolute;
+ background-color: var(--jp-toolbar-background);
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ border-left: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ top: 0;
+ right: 0;
+ z-index: 7;
+ min-width: 405px;
+ padding: 2px;
+ font-size: var(--jp-ui-font-size1);
+
+ --jp-private-document-search-button-height: 20px;
+}
+
+.jp-DocumentSearch-overlay button {
+ background-color: var(--jp-toolbar-background);
+ outline: 0;
+}
+
+.jp-DocumentSearch-overlay button:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-overlay button:active {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-overlay-row {
+ display: flex;
+ align-items: center;
+ margin-bottom: 2px;
+}
+
+.jp-DocumentSearch-button-content {
+ display: inline-block;
+ cursor: pointer;
+ box-sizing: border-box;
+ width: 100%;
+ height: 100%;
+}
+
+.jp-DocumentSearch-button-content svg {
+ width: 100%;
+ height: 100%;
+}
+
+.jp-DocumentSearch-input-wrapper {
+ border: var(--jp-border-width) solid var(--jp-border-color0);
+ display: flex;
+ background-color: var(--jp-layout-color0);
+ margin: 2px;
+}
+
+.jp-DocumentSearch-input-wrapper:focus-within {
+ border-color: var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper {
+ all: initial;
+ overflow: hidden;
+ display: inline-block;
+ border: none;
+ box-sizing: border-box;
+}
+
+.jp-DocumentSearch-toggle-wrapper {
+ width: 14px;
+ height: 14px;
+}
+
+.jp-DocumentSearch-button-wrapper {
+ width: var(--jp-private-document-search-button-height);
+ height: var(--jp-private-document-search-button-height);
+}
+
+.jp-DocumentSearch-toggle-wrapper:focus,
+.jp-DocumentSearch-button-wrapper:focus {
+ outline: var(--jp-border-width) solid
+ var(--jp-cell-editor-active-border-color);
+ outline-offset: -1px;
+}
+
+.jp-DocumentSearch-toggle-wrapper,
+.jp-DocumentSearch-button-wrapper,
+.jp-DocumentSearch-button-content:focus {
+ outline: none;
+}
+
+.jp-DocumentSearch-toggle-placeholder {
+ width: 5px;
+}
+
+.jp-DocumentSearch-input-button::before {
+ display: block;
+ padding-top: 100%;
+}
+
+.jp-DocumentSearch-input-button-off {
+ opacity: var(--jp-search-toggle-off-opacity);
+}
+
+.jp-DocumentSearch-input-button-off:hover {
+ opacity: var(--jp-search-toggle-hover-opacity);
+}
+
+.jp-DocumentSearch-input-button-on {
+ opacity: var(--jp-search-toggle-on-opacity);
+}
+
+.jp-DocumentSearch-index-counter {
+ padding-left: 10px;
+ padding-right: 10px;
+ user-select: none;
+ min-width: 35px;
+ display: inline-block;
+}
+
+.jp-DocumentSearch-up-down-wrapper {
+ display: inline-block;
+ padding-right: 2px;
+ margin-left: auto;
+ white-space: nowrap;
+}
+
+.jp-DocumentSearch-spacer {
+ margin-left: auto;
+}
+
+.jp-DocumentSearch-up-down-wrapper button {
+ outline: 0;
+ border: none;
+ width: var(--jp-private-document-search-button-height);
+ height: var(--jp-private-document-search-button-height);
+ vertical-align: middle;
+ margin: 1px 5px 2px;
+}
+
+.jp-DocumentSearch-up-down-button:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-up-down-button:active {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-filter-button {
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-filter-button:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-DocumentSearch-filter-button-enabled:hover {
+ background-color: var(--jp-layout-color3);
+}
+
+.jp-DocumentSearch-search-options {
+ padding: 0 8px;
+ margin-left: 3px;
+ width: 100%;
+ display: grid;
+ justify-content: start;
+ grid-template-columns: 1fr 1fr;
+ align-items: center;
+ justify-items: stretch;
+}
+
+.jp-DocumentSearch-search-filter-disabled {
+ color: var(--jp-ui-font-color2);
+}
+
+.jp-DocumentSearch-search-filter {
+ display: flex;
+ align-items: center;
+ user-select: none;
+}
+
+.jp-DocumentSearch-regex-error {
+ color: var(--jp-error-color0);
+}
+
+.jp-DocumentSearch-replace-button-wrapper {
+ overflow: hidden;
+ display: inline-block;
+ box-sizing: border-box;
+ border: var(--jp-border-width) solid var(--jp-border-color0);
+ margin: auto 2px;
+ padding: 1px 4px;
+ height: calc(var(--jp-private-document-search-button-height) + 2px);
+}
+
+.jp-DocumentSearch-replace-button-wrapper:focus {
+ border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+}
+
+.jp-DocumentSearch-replace-button {
+ display: inline-block;
+ text-align: center;
+ cursor: pointer;
+ box-sizing: border-box;
+ color: var(--jp-ui-font-color1);
+
+ /* height - 2 * (padding of wrapper) */
+ line-height: calc(var(--jp-private-document-search-button-height) - 2px);
+ width: 100%;
+ height: 100%;
+}
+
+.jp-DocumentSearch-replace-button:focus {
+ outline: none;
+}
+
+.jp-DocumentSearch-replace-wrapper-class {
+ margin-left: 14px;
+ display: flex;
+}
+
+.jp-DocumentSearch-replace-toggle {
+ border: none;
+ background-color: var(--jp-toolbar-background);
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-DocumentSearch-replace-toggle:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.cm-editor {
+ line-height: var(--jp-code-line-height);
+ font-size: var(--jp-code-font-size);
+ font-family: var(--jp-code-font-family);
+ border: 0;
+ border-radius: 0;
+ height: auto;
+
+ /* Changed to auto to autogrow */
+}
+
+.cm-editor pre {
+ padding: 0 var(--jp-code-padding);
+}
+
+.jp-CodeMirrorEditor[data-type='inline'] .cm-dialog {
+ background-color: var(--jp-layout-color0);
+ color: var(--jp-content-font-color1);
+}
+
+.jp-CodeMirrorEditor {
+ cursor: text;
+}
+
+/* When zoomed out 67% and 33% on a screen of 1440 width x 900 height */
+@media screen and (min-width: 2138px) and (max-width: 4319px) {
+ .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+ border-left: var(--jp-code-cursor-width1) solid
+ var(--jp-editor-cursor-color);
+ }
+}
+
+/* When zoomed out less than 33% */
+@media screen and (min-width: 4320px) {
+ .jp-CodeMirrorEditor[data-type='inline'] .cm-cursor {
+ border-left: var(--jp-code-cursor-width2) solid
+ var(--jp-editor-cursor-color);
+ }
+}
+
+.cm-editor.jp-mod-readOnly .cm-cursor {
+ display: none;
+}
+
+.jp-CollaboratorCursor {
+ border-left: 5px solid transparent;
+ border-right: 5px solid transparent;
+ border-top: none;
+ border-bottom: 3px solid;
+ background-clip: content-box;
+ margin-left: -5px;
+ margin-right: -5px;
+}
+
+.cm-searching,
+.cm-searching span {
+ /* `.cm-searching span`: we need to override syntax highlighting */
+ background-color: var(--jp-search-unselected-match-background-color);
+ color: var(--jp-search-unselected-match-color);
+}
+
+.cm-searching::selection,
+.cm-searching span::selection {
+ background-color: var(--jp-search-unselected-match-background-color);
+ color: var(--jp-search-unselected-match-color);
+}
+
+.jp-current-match > .cm-searching,
+.jp-current-match > .cm-searching span,
+.cm-searching > .jp-current-match,
+.cm-searching > .jp-current-match span {
+ background-color: var(--jp-search-selected-match-background-color);
+ color: var(--jp-search-selected-match-color);
+}
+
+.jp-current-match > .cm-searching::selection,
+.cm-searching > .jp-current-match::selection,
+.jp-current-match > .cm-searching span::selection {
+ background-color: var(--jp-search-selected-match-background-color);
+ color: var(--jp-search-selected-match-color);
+}
+
+.cm-trailingspace {
+ background-image: url(data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAAgAAAAFCAYAAAB4ka1VAAAAsElEQVQIHQGlAFr/AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA7+r3zKmT0/+pk9P/7+r3zAAAAAAAAAAABAAAAAAAAAAA6OPzM+/q9wAAAAAA6OPzMwAAAAAAAAAAAgAAAAAAAAAAGR8NiRQaCgAZIA0AGR8NiQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAQyoYJ/SY80UAAAAASUVORK5CYII=);
+ background-position: center left;
+ background-repeat: repeat-x;
+}
+
+.jp-CollaboratorCursor-hover {
+ position: absolute;
+ z-index: 1;
+ transform: translateX(-50%);
+ color: white;
+ border-radius: 3px;
+ padding-left: 4px;
+ padding-right: 4px;
+ padding-top: 1px;
+ padding-bottom: 1px;
+ text-align: center;
+ font-size: var(--jp-ui-font-size1);
+ white-space: nowrap;
+}
+
+.jp-CodeMirror-ruler {
+ border-left: 1px dashed var(--jp-border-color2);
+}
+
+/* Styles for shared cursors (remote cursor locations and selected ranges) */
+.jp-CodeMirrorEditor .cm-ySelectionCaret {
+ position: relative;
+ border-left: 1px solid black;
+ margin-left: -1px;
+ margin-right: -1px;
+ box-sizing: border-box;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret > .cm-ySelectionInfo {
+ white-space: nowrap;
+ position: absolute;
+ top: -1.15em;
+ padding-bottom: 0.05em;
+ left: -1px;
+ font-size: 0.95em;
+ font-family: var(--jp-ui-font-family);
+ font-weight: bold;
+ line-height: normal;
+ user-select: none;
+ color: white;
+ padding-left: 2px;
+ padding-right: 2px;
+ z-index: 101;
+ transition: opacity 0.3s ease-in-out;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionInfo {
+ transition-delay: 0.7s;
+ opacity: 0;
+}
+
+.jp-CodeMirrorEditor .cm-ySelectionCaret:hover > .cm-ySelectionInfo {
+ opacity: 1;
+ transition-delay: 0s;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-MimeDocument {
+ outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-filebrowser-button-height: 28px;
+ --jp-private-filebrowser-button-width: 48px;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser .jp-SidePanel-content {
+ display: flex;
+ flex-direction: column;
+}
+
+.jp-FileBrowser-toolbar.jp-Toolbar {
+ flex-wrap: wrap;
+ row-gap: 12px;
+ border-bottom: none;
+ height: auto;
+ margin: 8px 12px 0;
+ box-shadow: none;
+ padding: 0;
+ justify-content: flex-start;
+}
+
+.jp-FileBrowser-Panel {
+ flex: 1 1 auto;
+ display: flex;
+ flex-direction: column;
+}
+
+.jp-BreadCrumbs {
+ flex: 0 0 auto;
+ margin: 8px 12px;
+}
+
+.jp-BreadCrumbs-item {
+ margin: 0 2px;
+ padding: 0 2px;
+ border-radius: var(--jp-border-radius);
+ cursor: pointer;
+}
+
+.jp-BreadCrumbs-item:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-BreadCrumbs-item:first-child {
+ margin-left: 0;
+}
+
+.jp-BreadCrumbs-item.jp-mod-dropTarget {
+ background-color: var(--jp-brand-color2);
+ opacity: 0.7;
+}
+
+/*-----------------------------------------------------------------------------
+| Buttons
+|----------------------------------------------------------------------------*/
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item {
+ flex: 0 0 auto;
+ padding-left: 0;
+ padding-right: 2px;
+ align-items: center;
+ height: unset;
+}
+
+.jp-FileBrowser-toolbar > .jp-Toolbar-item .jp-ToolbarButtonComponent {
+ width: 40px;
+}
+
+/*-----------------------------------------------------------------------------
+| Other styles
+|----------------------------------------------------------------------------*/
+
+.jp-FileDialog.jp-mod-conflict input {
+ color: var(--jp-error-color1);
+}
+
+.jp-FileDialog .jp-new-name-title {
+ margin-top: 12px;
+}
+
+.jp-LastModified-hidden {
+ display: none;
+}
+
+.jp-FileSize-hidden {
+ display: none;
+}
+
+.jp-FileBrowser .lm-AccordionPanel > h3:first-child {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| DirListing
+|----------------------------------------------------------------------------*/
+
+.jp-DirListing {
+ flex: 1 1 auto;
+ display: flex;
+ flex-direction: column;
+ outline: 0;
+}
+
+.jp-DirListing-header {
+ flex: 0 0 auto;
+ display: flex;
+ flex-direction: row;
+ align-items: center;
+ overflow: hidden;
+ border-top: var(--jp-border-width) solid var(--jp-border-color2);
+ border-bottom: var(--jp-border-width) solid var(--jp-border-color1);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ z-index: 2;
+}
+
+.jp-DirListing-headerItem {
+ padding: 4px 12px 2px;
+ font-weight: 500;
+}
+
+.jp-DirListing-headerItem:hover {
+ background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-headerItem.jp-id-name {
+ flex: 1 0 84px;
+}
+
+.jp-DirListing-headerItem.jp-id-modified {
+ flex: 0 0 112px;
+ border-left: var(--jp-border-width) solid var(--jp-border-color2);
+ text-align: right;
+}
+
+.jp-DirListing-headerItem.jp-id-filesize {
+ flex: 0 0 75px;
+ border-left: var(--jp-border-width) solid var(--jp-border-color2);
+ text-align: right;
+}
+
+.jp-id-narrow {
+ display: none;
+ flex: 0 0 5px;
+ padding: 4px;
+ border-left: var(--jp-border-width) solid var(--jp-border-color2);
+ text-align: right;
+ color: var(--jp-border-color2);
+}
+
+.jp-DirListing-narrow .jp-id-narrow {
+ display: block;
+}
+
+.jp-DirListing-narrow .jp-id-modified,
+.jp-DirListing-narrow .jp-DirListing-itemModified {
+ display: none;
+}
+
+.jp-DirListing-headerItem.jp-mod-selected {
+ font-weight: 600;
+}
+
+/* increase specificity to override bundled default */
+.jp-DirListing-content {
+ flex: 1 1 auto;
+ margin: 0;
+ padding: 0;
+ list-style-type: none;
+ overflow: auto;
+ background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-content mark {
+ color: var(--jp-ui-font-color0);
+ background-color: transparent;
+ font-weight: bold;
+}
+
+.jp-DirListing-content .jp-DirListing-item.jp-mod-selected mark {
+ color: var(--jp-ui-inverse-font-color0);
+}
+
+/* Style the directory listing content when a user drops a file to upload */
+.jp-DirListing.jp-mod-native-drop .jp-DirListing-content {
+ outline: 5px dashed rgba(128, 128, 128, 0.5);
+ outline-offset: -10px;
+ cursor: copy;
+}
+
+.jp-DirListing-item {
+ display: flex;
+ flex-direction: row;
+ align-items: center;
+ padding: 4px 12px;
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.jp-DirListing-checkboxWrapper {
+ /* Increases hit area of checkbox. */
+ padding: 4px;
+}
+
+.jp-DirListing-header
+ .jp-DirListing-checkboxWrapper
+ + .jp-DirListing-headerItem {
+ padding-left: 4px;
+}
+
+.jp-DirListing-content .jp-DirListing-checkboxWrapper {
+ position: relative;
+ left: -4px;
+ margin: -4px 0 -4px -8px;
+}
+
+.jp-DirListing-checkboxWrapper.jp-mod-visible {
+ visibility: visible;
+}
+
+/* For devices that support hovering, hide checkboxes until hovered, selected...
+*/
+@media (hover: hover) {
+ .jp-DirListing-checkboxWrapper {
+ visibility: hidden;
+ }
+
+ .jp-DirListing-item:hover .jp-DirListing-checkboxWrapper,
+ .jp-DirListing-item.jp-mod-selected .jp-DirListing-checkboxWrapper {
+ visibility: visible;
+ }
+}
+
+.jp-DirListing-item[data-is-dot] {
+ opacity: 75%;
+}
+
+.jp-DirListing-item.jp-mod-selected {
+ color: var(--jp-ui-inverse-font-color1);
+ background: var(--jp-brand-color1);
+}
+
+.jp-DirListing-item.jp-mod-dropTarget {
+ background: var(--jp-brand-color3);
+}
+
+.jp-DirListing-item:hover:not(.jp-mod-selected) {
+ background: var(--jp-layout-color2);
+}
+
+.jp-DirListing-itemIcon {
+ flex: 0 0 20px;
+ margin-right: 4px;
+}
+
+.jp-DirListing-itemText {
+ flex: 1 0 64px;
+ white-space: nowrap;
+ overflow: hidden;
+ text-overflow: ellipsis;
+ user-select: none;
+}
+
+.jp-DirListing-itemText:focus {
+ outline-width: 2px;
+ outline-color: var(--jp-inverse-layout-color1);
+ outline-style: solid;
+ outline-offset: 1px;
+}
+
+.jp-DirListing-item.jp-mod-selected .jp-DirListing-itemText:focus {
+ outline-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-itemModified {
+ flex: 0 0 125px;
+ text-align: right;
+}
+
+.jp-DirListing-itemFileSize {
+ flex: 0 0 90px;
+ text-align: right;
+}
+
+.jp-DirListing-editor {
+ flex: 1 0 64px;
+ outline: none;
+ border: none;
+ color: var(--jp-ui-font-color1);
+ background-color: var(--jp-layout-color1);
+}
+
+.jp-DirListing-item.jp-mod-running .jp-DirListing-itemIcon::before {
+ color: var(--jp-success-color1);
+ content: '\25CF';
+ font-size: 8px;
+ position: absolute;
+ left: -8px;
+}
+
+.jp-DirListing-item.jp-mod-running.jp-mod-selected
+ .jp-DirListing-itemIcon::before {
+ color: var(--jp-ui-inverse-font-color1);
+}
+
+.jp-DirListing-item.lm-mod-drag-image,
+.jp-DirListing-item.jp-mod-selected.lm-mod-drag-image {
+ font-size: var(--jp-ui-font-size1);
+ padding-left: 4px;
+ margin-left: 4px;
+ width: 160px;
+ background-color: var(--jp-ui-inverse-font-color2);
+ box-shadow: var(--jp-elevation-z2);
+ border-radius: 0;
+ color: var(--jp-ui-font-color1);
+ transform: translateX(-40%) translateY(-58%);
+}
+
+.jp-Document {
+ min-width: 120px;
+ min-height: 120px;
+ outline: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Main OutputArea
+| OutputArea has a list of Outputs
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea {
+ overflow-y: auto;
+}
+
+.jp-OutputArea-child {
+ display: table;
+ table-layout: fixed;
+ width: 100%;
+ overflow: hidden;
+}
+
+.jp-OutputPrompt {
+ width: var(--jp-cell-prompt-width);
+ color: var(--jp-cell-outprompt-font-color);
+ font-family: var(--jp-cell-prompt-font-family);
+ padding: var(--jp-code-padding);
+ letter-spacing: var(--jp-cell-prompt-letter-spacing);
+ line-height: var(--jp-code-line-height);
+ font-size: var(--jp-code-font-size);
+ border: var(--jp-border-width) solid transparent;
+ opacity: var(--jp-cell-prompt-opacity);
+
+ /* Right align prompt text, don't wrap to handle large prompt numbers */
+ text-align: right;
+ white-space: nowrap;
+ overflow: hidden;
+ text-overflow: ellipsis;
+
+ /* Disable text selection */
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.jp-OutputArea-prompt {
+ display: table-cell;
+ vertical-align: top;
+}
+
+.jp-OutputArea-output {
+ display: table-cell;
+ width: 100%;
+ height: auto;
+ overflow: auto;
+ user-select: text;
+ -moz-user-select: text;
+ -webkit-user-select: text;
+ -ms-user-select: text;
+}
+
+.jp-OutputArea .jp-RenderedText {
+ padding-left: 1ch;
+}
+
+/**
+ * Prompt overlay.
+ */
+
+.jp-OutputArea-promptOverlay {
+ position: absolute;
+ top: 0;
+ width: var(--jp-cell-prompt-width);
+ height: 100%;
+ opacity: 0.5;
+}
+
+.jp-OutputArea-promptOverlay:hover {
+ background: var(--jp-layout-color2);
+ box-shadow: inset 0 0 1px var(--jp-inverse-layout-color0);
+ cursor: zoom-out;
+}
+
+.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay:hover {
+ cursor: zoom-in;
+}
+
+/**
+ * Isolated output.
+ */
+.jp-OutputArea-output.jp-mod-isolated {
+ width: 100%;
+ display: block;
+}
+
+/*
+When drag events occur, `lm-mod-override-cursor` is added to the body.
+Because iframes steal all cursor events, the following two rules are necessary
+to suppress pointer events while resize drags are occurring. There may be a
+better solution to this problem.
+*/
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated {
+ position: relative;
+}
+
+body.lm-mod-override-cursor .jp-OutputArea-output.jp-mod-isolated::before {
+ content: '';
+ position: absolute;
+ top: 0;
+ left: 0;
+ right: 0;
+ bottom: 0;
+ background: transparent;
+}
+
+/* pre */
+
+.jp-OutputArea-output pre {
+ border: none;
+ margin: 0;
+ padding: 0;
+ overflow-x: auto;
+ overflow-y: auto;
+ word-break: break-all;
+ word-wrap: break-word;
+ white-space: pre-wrap;
+}
+
+/* tables */
+
+.jp-OutputArea-output.jp-RenderedHTMLCommon table {
+ margin-left: 0;
+ margin-right: 0;
+}
+
+/* description lists */
+
+.jp-OutputArea-output dl,
+.jp-OutputArea-output dt,
+.jp-OutputArea-output dd {
+ display: block;
+}
+
+.jp-OutputArea-output dl {
+ width: 100%;
+ overflow: hidden;
+ padding: 0;
+ margin: 0;
+}
+
+.jp-OutputArea-output dt {
+ font-weight: bold;
+ float: left;
+ width: 20%;
+ padding: 0;
+ margin: 0;
+}
+
+.jp-OutputArea-output dd {
+ float: left;
+ width: 80%;
+ padding: 0;
+ margin: 0;
+}
+
+.jp-TrimmedOutputs pre {
+ background: var(--jp-layout-color3);
+ font-size: calc(var(--jp-code-font-size) * 1.4);
+ text-align: center;
+ text-transform: uppercase;
+}
+
+/* Hide the gutter in case of
+ * - nested output areas (e.g. in the case of output widgets)
+ * - mirrored output areas
+ */
+.jp-OutputArea .jp-OutputArea .jp-OutputArea-prompt {
+ display: none;
+}
+
+/* Hide empty lines in the output area, for instance due to cleared widgets */
+.jp-OutputArea-prompt:empty {
+ padding: 0;
+ border: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| executeResult is added to any Output-result for the display of the object
+| returned by a cell
+|----------------------------------------------------------------------------*/
+
+.jp-OutputArea-output.jp-OutputArea-executeResult {
+ margin-left: 0;
+ width: 100%;
+}
+
+/* Text output with the Out[] prompt needs a top padding to match the
+ * alignment of the Out[] prompt itself.
+ */
+.jp-OutputArea-executeResult .jp-RenderedText.jp-OutputArea-output {
+ padding-top: var(--jp-code-padding);
+ border-top: var(--jp-border-width) solid transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| The Stdin output
+|----------------------------------------------------------------------------*/
+
+.jp-Stdin-prompt {
+ color: var(--jp-content-font-color0);
+ padding-right: var(--jp-code-padding);
+ vertical-align: baseline;
+ flex: 0 0 auto;
+}
+
+.jp-Stdin-input {
+ font-family: var(--jp-code-font-family);
+ font-size: inherit;
+ color: inherit;
+ background-color: inherit;
+ width: 42%;
+ min-width: 200px;
+
+ /* make sure input baseline aligns with prompt */
+ vertical-align: baseline;
+
+ /* padding + margin = 0.5em between prompt and cursor */
+ padding: 0 0.25em;
+ margin: 0 0.25em;
+ flex: 0 0 70%;
+}
+
+.jp-Stdin-input::placeholder {
+ opacity: 0;
+}
+
+.jp-Stdin-input:focus {
+ box-shadow: none;
+}
+
+.jp-Stdin-input:focus::placeholder {
+ opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Output Area View
+|----------------------------------------------------------------------------*/
+
+.jp-LinkedOutputView .jp-OutputArea {
+ height: 100%;
+ display: block;
+}
+
+.jp-LinkedOutputView .jp-OutputArea-output:only-child {
+ height: 100%;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+@media print {
+ .jp-OutputArea-child {
+ break-inside: avoid-page;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+ .jp-OutputPrompt {
+ display: table-row;
+ text-align: left;
+ }
+
+ .jp-OutputArea-child .jp-OutputArea-output {
+ display: table-row;
+ margin-left: var(--jp-notebook-padding);
+ }
+}
+
+/* Trimmed outputs warning */
+.jp-TrimmedOutputs > a {
+ margin: 10px;
+ text-decoration: none;
+ cursor: pointer;
+}
+
+.jp-TrimmedOutputs > a:hover {
+ text-decoration: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Table of Contents
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-toc-active-width: 4px;
+}
+
+.jp-TableOfContents {
+ display: flex;
+ flex-direction: column;
+ background: var(--jp-layout-color1);
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ height: 100%;
+}
+
+.jp-TableOfContents-placeholder {
+ text-align: center;
+}
+
+.jp-TableOfContents-placeholderContent {
+ color: var(--jp-content-font-color2);
+ padding: 8px;
+}
+
+.jp-TableOfContents-placeholderContent > h3 {
+ margin-bottom: var(--jp-content-heading-margin-bottom);
+}
+
+.jp-TableOfContents .jp-SidePanel-content {
+ overflow-y: auto;
+}
+
+.jp-TableOfContents-tree {
+ margin: 4px;
+}
+
+.jp-TableOfContents ol {
+ list-style-type: none;
+}
+
+/* stylelint-disable-next-line selector-max-type */
+.jp-TableOfContents li > ol {
+ /* Align left border with triangle icon center */
+ padding-left: 11px;
+}
+
+.jp-TableOfContents-content {
+ /* left margin for the active heading indicator */
+ margin: 0 0 0 var(--jp-private-toc-active-width);
+ padding: 0;
+ background-color: var(--jp-layout-color1);
+}
+
+.jp-tocItem {
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+.jp-tocItem-heading {
+ display: flex;
+ cursor: pointer;
+}
+
+.jp-tocItem-heading:hover {
+ background-color: var(--jp-layout-color2);
+}
+
+.jp-tocItem-content {
+ display: block;
+ padding: 4px 0;
+ white-space: nowrap;
+ text-overflow: ellipsis;
+ overflow-x: hidden;
+}
+
+.jp-tocItem-collapser {
+ height: 20px;
+ margin: 2px 2px 0;
+ padding: 0;
+ background: none;
+ border: none;
+ cursor: pointer;
+}
+
+.jp-tocItem-collapser:hover {
+ background-color: var(--jp-layout-color3);
+}
+
+/* Active heading indicator */
+
+.jp-tocItem-heading::before {
+ content: ' ';
+ background: transparent;
+ width: var(--jp-private-toc-active-width);
+ height: 24px;
+ position: absolute;
+ left: 0;
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-tocItem-heading.jp-tocItem-active::before {
+ background-color: var(--jp-brand-color1);
+}
+
+.jp-tocItem-heading:hover.jp-tocItem-active::before {
+ background: var(--jp-brand-color0);
+ opacity: 1;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+.jp-Collapser {
+ flex: 0 0 var(--jp-cell-collapser-width);
+ padding: 0;
+ margin: 0;
+ border: none;
+ outline: none;
+ background: transparent;
+ border-radius: var(--jp-border-radius);
+ opacity: 1;
+}
+
+.jp-Collapser-child {
+ display: block;
+ width: 100%;
+ box-sizing: border-box;
+
+ /* height: 100% doesn't work because the height of its parent is computed from content */
+ position: absolute;
+ top: 0;
+ bottom: 0;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Hiding collapsers in print mode.
+
+Note: input and output wrappers have "display: block" propery in print mode.
+*/
+
+@media print {
+ .jp-Collapser {
+ display: none;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Header/Footer
+|----------------------------------------------------------------------------*/
+
+/* Hidden by zero height by default */
+.jp-CellHeader,
+.jp-CellFooter {
+ height: 0;
+ width: 100%;
+ padding: 0;
+ margin: 0;
+ border: none;
+ outline: none;
+ background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Input
+|----------------------------------------------------------------------------*/
+
+/* All input areas */
+.jp-InputArea {
+ display: table;
+ table-layout: fixed;
+ width: 100%;
+ overflow: hidden;
+}
+
+.jp-InputArea-editor {
+ display: table-cell;
+ overflow: hidden;
+ vertical-align: top;
+
+ /* This is the non-active, default styling */
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ border-radius: 0;
+ background: var(--jp-cell-editor-background);
+}
+
+.jp-InputPrompt {
+ display: table-cell;
+ vertical-align: top;
+ width: var(--jp-cell-prompt-width);
+ color: var(--jp-cell-inprompt-font-color);
+ font-family: var(--jp-cell-prompt-font-family);
+ padding: var(--jp-code-padding);
+ letter-spacing: var(--jp-cell-prompt-letter-spacing);
+ opacity: var(--jp-cell-prompt-opacity);
+ line-height: var(--jp-code-line-height);
+ font-size: var(--jp-code-font-size);
+ border: var(--jp-border-width) solid transparent;
+
+ /* Right align prompt text, don't wrap to handle large prompt numbers */
+ text-align: right;
+ white-space: nowrap;
+ overflow: hidden;
+ text-overflow: ellipsis;
+
+ /* Disable text selection */
+ -webkit-user-select: none;
+ -moz-user-select: none;
+ -ms-user-select: none;
+ user-select: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Mobile
+|----------------------------------------------------------------------------*/
+@media only screen and (max-width: 760px) {
+ .jp-InputArea-editor {
+ display: table-row;
+ margin-left: var(--jp-notebook-padding);
+ }
+
+ .jp-InputPrompt {
+ display: table-row;
+ text-align: left;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Placeholder {
+ display: table;
+ table-layout: fixed;
+ width: 100%;
+}
+
+.jp-Placeholder-prompt {
+ display: table-cell;
+ box-sizing: border-box;
+}
+
+.jp-Placeholder-content {
+ display: table-cell;
+ padding: 4px 6px;
+ border: 1px solid transparent;
+ border-radius: 0;
+ background: none;
+ box-sizing: border-box;
+ cursor: pointer;
+}
+
+.jp-Placeholder-contentContainer {
+ display: flex;
+}
+
+.jp-Placeholder-content:hover,
+.jp-InputPlaceholder > .jp-Placeholder-content:hover {
+ border-color: var(--jp-layout-color3);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon {
+ width: 32px;
+ height: 16px;
+ border: 1px solid transparent;
+ border-radius: var(--jp-border-radius);
+}
+
+.jp-Placeholder-content .jp-MoreHorizIcon:hover {
+ border: 1px solid var(--jp-border-color1);
+ box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.25);
+ background-color: var(--jp-layout-color0);
+}
+
+.jp-PlaceholderText {
+ white-space: nowrap;
+ overflow-x: hidden;
+ color: var(--jp-inverse-layout-color3);
+ font-family: var(--jp-code-font-family);
+}
+
+.jp-InputPlaceholder > .jp-Placeholder-content {
+ border-color: var(--jp-cell-editor-border-color);
+ background: var(--jp-cell-editor-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Private CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-private-cell-scrolling-output-offset: 5px;
+}
+
+/*-----------------------------------------------------------------------------
+| Cell
+|----------------------------------------------------------------------------*/
+
+.jp-Cell {
+ padding: var(--jp-cell-padding);
+ margin: 0;
+ border: none;
+ outline: none;
+ background: transparent;
+}
+
+/*-----------------------------------------------------------------------------
+| Common input/output
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-inputWrapper,
+.jp-Cell-outputWrapper {
+ display: flex;
+ flex-direction: row;
+ padding: 0;
+ margin: 0;
+
+ /* Added to reveal the box-shadow on the input and output collapsers. */
+ overflow: visible;
+}
+
+/* Only input/output areas inside cells */
+.jp-Cell-inputArea,
+.jp-Cell-outputArea {
+ flex: 1 1 auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Collapser
+|----------------------------------------------------------------------------*/
+
+/* Make the output collapser disappear when there is not output, but do so
+ * in a manner that leaves it in the layout and preserves its width.
+ */
+.jp-Cell.jp-mod-noOutputs .jp-Cell-outputCollapser {
+ border: none !important;
+ background: transparent !important;
+}
+
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputCollapser {
+ min-height: var(--jp-cell-collapser-min-height);
+}
+
+/*-----------------------------------------------------------------------------
+| Output
+|----------------------------------------------------------------------------*/
+
+/* Put a space between input and output when there IS output */
+.jp-Cell:not(.jp-mod-noOutputs) .jp-Cell-outputWrapper {
+ margin-top: 5px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea {
+ overflow-y: auto;
+ max-height: 24em;
+ margin-left: var(--jp-private-cell-scrolling-output-offset);
+ resize: vertical;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea[style*='height'] {
+ max-height: unset;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-Cell-outputArea::after {
+ content: ' ';
+ box-shadow: inset 0 0 6px 2px rgb(0 0 0 / 30%);
+ width: 100%;
+ height: 100%;
+ position: sticky;
+ bottom: 0;
+ top: 0;
+ margin-top: -50%;
+ float: left;
+ display: block;
+ pointer-events: none;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-child {
+ padding-top: 6px;
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-prompt {
+ width: calc(
+ var(--jp-cell-prompt-width) - var(--jp-private-cell-scrolling-output-offset)
+ );
+}
+
+.jp-CodeCell.jp-mod-outputsScrolled .jp-OutputArea-promptOverlay {
+ left: calc(-1 * var(--jp-private-cell-scrolling-output-offset));
+}
+
+/*-----------------------------------------------------------------------------
+| CodeCell
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| MarkdownCell
+|----------------------------------------------------------------------------*/
+
+.jp-MarkdownOutput {
+ display: table-cell;
+ width: 100%;
+ margin-top: 0;
+ margin-bottom: 0;
+ padding-left: var(--jp-code-padding);
+}
+
+.jp-MarkdownOutput.jp-RenderedHTMLCommon {
+ overflow: auto;
+}
+
+/* collapseHeadingButton (show always if hiddenCellsButton is _not_ shown) */
+.jp-collapseHeadingButton {
+ display: flex;
+ min-height: var(--jp-cell-collapser-min-height);
+ font-size: var(--jp-code-font-size);
+ position: absolute;
+ background-color: transparent;
+ background-size: 25px;
+ background-repeat: no-repeat;
+ background-position-x: center;
+ background-position-y: top;
+ background-image: var(--jp-icon-caret-down);
+ right: 0;
+ top: 0;
+ bottom: 0;
+}
+
+.jp-collapseHeadingButton.jp-mod-collapsed {
+ background-image: var(--jp-icon-caret-right);
+}
+
+/*
+ set the container font size to match that of content
+ so that the nested collapse buttons have the right size
+*/
+.jp-MarkdownCell .jp-InputPrompt {
+ font-size: var(--jp-content-font-size1);
+}
+
+/*
+ Align collapseHeadingButton with cell top header
+ The font sizes are identical to the ones in packages/rendermime/style/base.css
+*/
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='1'] {
+ font-size: var(--jp-content-font-size5);
+ background-position-y: calc(0.3 * var(--jp-content-font-size5));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='2'] {
+ font-size: var(--jp-content-font-size4);
+ background-position-y: calc(0.3 * var(--jp-content-font-size4));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='3'] {
+ font-size: var(--jp-content-font-size3);
+ background-position-y: calc(0.3 * var(--jp-content-font-size3));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='4'] {
+ font-size: var(--jp-content-font-size2);
+ background-position-y: calc(0.3 * var(--jp-content-font-size2));
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='5'] {
+ font-size: var(--jp-content-font-size1);
+ background-position-y: top;
+}
+
+.jp-mod-rendered .jp-collapseHeadingButton[data-heading-level='6'] {
+ font-size: var(--jp-content-font-size0);
+ background-position-y: top;
+}
+
+/* collapseHeadingButton (show only on (hover,active) if hiddenCellsButton is shown) */
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-collapseHeadingButton {
+ display: none;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton
+ :is(.jp-MarkdownCell:hover, .jp-mod-active)
+ .jp-collapseHeadingButton {
+ display: flex;
+}
+
+/* showHiddenCellsButton (only show if jp-mod-showHiddenCellsButton is set, which
+is a consequence of the showHiddenCellsButton option in Notebook Settings)*/
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton {
+ margin-left: calc(var(--jp-cell-prompt-width) + 2 * var(--jp-code-padding));
+ margin-top: var(--jp-code-padding);
+ border: 1px solid var(--jp-border-color2);
+ background-color: var(--jp-border-color3) !important;
+ color: var(--jp-content-font-color0) !important;
+ display: flex;
+}
+
+.jp-Notebook.jp-mod-showHiddenCellsButton .jp-showHiddenCellsButton:hover {
+ background-color: var(--jp-border-color2) !important;
+}
+
+.jp-showHiddenCellsButton {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Printing
+|----------------------------------------------------------------------------*/
+
+/*
+Using block instead of flex to allow the use of the break-inside CSS property for
+cell outputs.
+*/
+
+@media print {
+ .jp-Cell-inputWrapper,
+ .jp-Cell-outputWrapper {
+ display: block;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-notebook-toolbar-padding: 2px 5px 2px 2px;
+}
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookPanel-toolbar {
+ padding: var(--jp-notebook-toolbar-padding);
+
+ /* disable paint containment from lumino 2.0 default strict CSS containment */
+ contain: style size !important;
+}
+
+.jp-Toolbar-item.jp-Notebook-toolbarCellType .jp-select-wrapper.jp-mod-focused {
+ border: none;
+ box-shadow: none;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown select {
+ height: 24px;
+ font-size: var(--jp-ui-font-size1);
+ line-height: 14px;
+ border-radius: 0;
+ display: block;
+}
+
+.jp-Notebook-toolbarCellTypeDropdown span {
+ top: 5px !important;
+}
+
+.jp-Toolbar-responsive-popup {
+ position: absolute;
+ height: fit-content;
+ display: flex;
+ flex-direction: row;
+ flex-wrap: wrap;
+ justify-content: flex-end;
+ border-bottom: var(--jp-border-width) solid var(--jp-toolbar-border-color);
+ box-shadow: var(--jp-toolbar-box-shadow);
+ background: var(--jp-toolbar-background);
+ min-height: var(--jp-toolbar-micro-height);
+ padding: var(--jp-notebook-toolbar-padding);
+ z-index: 1;
+ right: 0;
+ top: 0;
+}
+
+.jp-Toolbar > .jp-Toolbar-responsive-opener {
+ margin-left: auto;
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Variables
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+
+/*-----------------------------------------------------------------------------
+| Styles
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-ExecutionIndicator {
+ position: relative;
+ display: inline-block;
+ height: 100%;
+ z-index: 9997;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip {
+ visibility: hidden;
+ height: auto;
+ width: max-content;
+ width: -moz-max-content;
+ background-color: var(--jp-layout-color2);
+ color: var(--jp-ui-font-color1);
+ text-align: justify;
+ border-radius: 6px;
+ padding: 0 5px;
+ position: fixed;
+ display: table;
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.up {
+ transform: translateX(-50%) translateY(-100%) translateY(-32px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.down {
+ transform: translateX(calc(-100% + 16px)) translateY(5px);
+}
+
+.jp-Notebook-ExecutionIndicator-tooltip.hidden {
+ display: none;
+}
+
+.jp-Notebook-ExecutionIndicator:hover .jp-Notebook-ExecutionIndicator-tooltip {
+ visibility: visible;
+}
+
+.jp-Notebook-ExecutionIndicator span {
+ font-size: var(--jp-ui-font-size1);
+ font-family: var(--jp-ui-font-family);
+ color: var(--jp-ui-font-color1);
+ line-height: 24px;
+ display: block;
+}
+
+.jp-Notebook-ExecutionIndicator-progress-bar {
+ display: flex;
+ justify-content: center;
+ height: 100%;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+/*
+ * Execution indicator
+ */
+.jp-tocItem-content::after {
+ content: '';
+
+ /* Must be identical to form a circle */
+ width: 12px;
+ height: 12px;
+ background: none;
+ border: none;
+ position: absolute;
+ right: 0;
+}
+
+.jp-tocItem-content[data-running='0']::after {
+ border-radius: 50%;
+ border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+ background: none;
+}
+
+.jp-tocItem-content[data-running='1']::after {
+ border-radius: 50%;
+ border: var(--jp-border-width) solid var(--jp-inverse-layout-color3);
+ background-color: var(--jp-inverse-layout-color3);
+}
+
+.jp-tocItem-content[data-running='0'],
+.jp-tocItem-content[data-running='1'] {
+ margin-right: 12px;
+}
+
+/*
+ * Copyright (c) Jupyter Development Team.
+ * Distributed under the terms of the Modified BSD License.
+ */
+
+.jp-Notebook-footer {
+ height: 27px;
+ margin-left: calc(
+ var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+ var(--jp-cell-padding)
+ );
+ width: calc(
+ 100% -
+ (
+ var(--jp-cell-prompt-width) + var(--jp-cell-collapser-width) +
+ var(--jp-cell-padding) + var(--jp-cell-padding)
+ )
+ );
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ color: var(--jp-ui-font-color3);
+ margin-top: 6px;
+ background: none;
+ cursor: pointer;
+}
+
+.jp-Notebook-footer:focus {
+ border-color: var(--jp-cell-editor-active-border-color);
+}
+
+/* For devices that support hovering, hide footer until hover */
+@media (hover: hover) {
+ .jp-Notebook-footer {
+ opacity: 0;
+ }
+
+ .jp-Notebook-footer:focus,
+ .jp-Notebook-footer:hover {
+ opacity: 1;
+ }
+}
+
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| Imports
+|----------------------------------------------------------------------------*/
+
+/*-----------------------------------------------------------------------------
+| CSS variables
+|----------------------------------------------------------------------------*/
+
+:root {
+ --jp-side-by-side-output-size: 1fr;
+ --jp-side-by-side-resized-cell: var(--jp-side-by-side-output-size);
+ --jp-private-notebook-dragImage-width: 304px;
+ --jp-private-notebook-dragImage-height: 36px;
+ --jp-private-notebook-selected-color: var(--md-blue-400);
+ --jp-private-notebook-active-color: var(--md-green-400);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook
+|----------------------------------------------------------------------------*/
+
+/* stylelint-disable selector-max-class */
+
+.jp-NotebookPanel {
+ display: block;
+ height: 100%;
+}
+
+.jp-NotebookPanel.jp-Document {
+ min-width: 240px;
+ min-height: 120px;
+}
+
+.jp-Notebook {
+ padding: var(--jp-notebook-padding);
+ outline: none;
+ overflow: auto;
+ background: var(--jp-layout-color0);
+}
+
+.jp-Notebook.jp-mod-scrollPastEnd::after {
+ display: block;
+ content: '';
+ min-height: var(--jp-notebook-scroll-padding);
+}
+
+.jp-MainAreaWidget-ContainStrict .jp-Notebook * {
+ contain: strict;
+}
+
+.jp-Notebook .jp-Cell {
+ overflow: visible;
+}
+
+.jp-Notebook .jp-Cell .jp-InputPrompt {
+ cursor: move;
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook state related styling
+|
+| The notebook and cells each have states, here are the possibilities:
+|
+| - Notebook
+| - Command
+| - Edit
+| - Cell
+| - None
+| - Active (only one can be active)
+| - Selected (the cells actions are applied to)
+| - Multiselected (when multiple selected, the cursor)
+| - No outputs
+|----------------------------------------------------------------------------*/
+
+/* Command or edit modes */
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-InputPrompt {
+ opacity: var(--jp-cell-prompt-not-active-opacity);
+ color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+.jp-Notebook .jp-Cell:not(.jp-mod-active) .jp-OutputPrompt {
+ opacity: var(--jp-cell-prompt-not-active-opacity);
+ color: var(--jp-cell-prompt-not-active-font-color);
+}
+
+/* cell is active */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser {
+ background: var(--jp-brand-color1);
+}
+
+/* cell is dirty */
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt {
+ color: var(--jp-warn-color1);
+}
+
+.jp-Notebook .jp-Cell.jp-mod-dirty .jp-InputPrompt::before {
+ color: var(--jp-warn-color1);
+ content: '•';
+}
+
+.jp-Notebook .jp-Cell.jp-mod-active.jp-mod-dirty .jp-Collapser {
+ background: var(--jp-warn-color1);
+}
+
+/* collapser is hovered */
+.jp-Notebook .jp-Cell .jp-Collapser:hover {
+ box-shadow: var(--jp-elevation-z2);
+ background: var(--jp-brand-color1);
+ opacity: var(--jp-cell-collapser-not-active-hover-opacity);
+}
+
+/* cell is active and collapser is hovered */
+.jp-Notebook .jp-Cell.jp-mod-active .jp-Collapser:hover {
+ background: var(--jp-brand-color0);
+ opacity: 1;
+}
+
+/* Command mode */
+
+.jp-Notebook.jp-mod-commandMode .jp-Cell.jp-mod-selected {
+ background: var(--jp-notebook-multiselected-color);
+}
+
+.jp-Notebook.jp-mod-commandMode
+ .jp-Cell.jp-mod-active.jp-mod-selected:not(.jp-mod-multiSelected) {
+ background: transparent;
+}
+
+/* Edit mode */
+
+.jp-Notebook.jp-mod-editMode .jp-Cell.jp-mod-active .jp-InputArea-editor {
+ border: var(--jp-border-width) solid var(--jp-cell-editor-active-border-color);
+ box-shadow: var(--jp-input-box-shadow);
+ background-color: var(--jp-cell-editor-active-background);
+}
+
+/*-----------------------------------------------------------------------------
+| Notebook drag and drop
+|----------------------------------------------------------------------------*/
+
+.jp-Notebook-cell.jp-mod-dropSource {
+ opacity: 0.5;
+}
+
+.jp-Notebook-cell.jp-mod-dropTarget,
+.jp-Notebook.jp-mod-commandMode
+ .jp-Notebook-cell.jp-mod-active.jp-mod-selected.jp-mod-dropTarget {
+ border-top-color: var(--jp-private-notebook-selected-color);
+ border-top-style: solid;
+ border-top-width: 2px;
+}
+
+.jp-dragImage {
+ display: block;
+ flex-direction: row;
+ width: var(--jp-private-notebook-dragImage-width);
+ height: var(--jp-private-notebook-dragImage-height);
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ background: var(--jp-cell-editor-background);
+ overflow: visible;
+}
+
+.jp-dragImage-singlePrompt {
+ box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+.jp-dragImage .jp-dragImage-content {
+ flex: 1 1 auto;
+ z-index: 2;
+ font-size: var(--jp-code-font-size);
+ font-family: var(--jp-code-font-family);
+ line-height: var(--jp-code-line-height);
+ padding: var(--jp-code-padding);
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ background: var(--jp-cell-editor-background-color);
+ color: var(--jp-content-font-color3);
+ text-align: left;
+ margin: 4px 4px 4px 0;
+}
+
+.jp-dragImage .jp-dragImage-prompt {
+ flex: 0 0 auto;
+ min-width: 36px;
+ color: var(--jp-cell-inprompt-font-color);
+ padding: var(--jp-code-padding);
+ padding-left: 12px;
+ font-family: var(--jp-cell-prompt-font-family);
+ letter-spacing: var(--jp-cell-prompt-letter-spacing);
+ line-height: 1.9;
+ font-size: var(--jp-code-font-size);
+ border: var(--jp-border-width) solid transparent;
+}
+
+.jp-dragImage-multipleBack {
+ z-index: -1;
+ position: absolute;
+ height: 32px;
+ width: 300px;
+ top: 8px;
+ left: 8px;
+ background: var(--jp-layout-color2);
+ border: var(--jp-border-width) solid var(--jp-input-border-color);
+ box-shadow: 2px 2px 4px 0 rgba(0, 0, 0, 0.12);
+}
+
+/*-----------------------------------------------------------------------------
+| Cell toolbar
+|----------------------------------------------------------------------------*/
+
+.jp-NotebookTools {
+ display: block;
+ min-width: var(--jp-sidebar-min-width);
+ color: var(--jp-ui-font-color1);
+ background: var(--jp-layout-color1);
+
+ /* This is needed so that all font sizing of children done in ems is
+ * relative to this base size */
+ font-size: var(--jp-ui-font-size1);
+ overflow: auto;
+}
+
+.jp-ActiveCellTool {
+ padding: 12px 0;
+ display: flex;
+}
+
+.jp-ActiveCellTool-Content {
+ flex: 1 1 auto;
+}
+
+.jp-ActiveCellTool .jp-ActiveCellTool-CellContent {
+ background: var(--jp-cell-editor-background);
+ border: var(--jp-border-width) solid var(--jp-cell-editor-border-color);
+ border-radius: 0;
+ min-height: 29px;
+}
+
+.jp-ActiveCellTool .jp-InputPrompt {
+ min-width: calc(var(--jp-cell-prompt-width) * 0.75);
+}
+
+.jp-ActiveCellTool-CellContent > pre {
+ padding: 5px 4px;
+ margin: 0;
+ white-space: normal;
+}
+
+.jp-MetadataEditorTool {
+ flex-direction: column;
+ padding: 12px 0;
+}
+
+.jp-RankedPanel > :not(:first-child) {
+ margin-top: 12px;
+}
+
+.jp-KeySelector select.jp-mod-styled {
+ font-size: var(--jp-ui-font-size1);
+ color: var(--jp-ui-font-color0);
+ border: var(--jp-border-width) solid var(--jp-border-color1);
+}
+
+.jp-KeySelector label,
+.jp-MetadataEditorTool label,
+.jp-NumberSetter label {
+ line-height: 1.4;
+}
+
+.jp-NotebookTools .jp-select-wrapper {
+ margin-top: 4px;
+ margin-bottom: 0;
+}
+
+.jp-NumberSetter input {
+ width: 100%;
+ margin-top: 4px;
+}
+
+.jp-NotebookTools .jp-Collapse {
+ margin-top: 16px;
+}
+
+/*-----------------------------------------------------------------------------
+| Presentation Mode (.jp-mod-presentationMode)
+|----------------------------------------------------------------------------*/
+
+.jp-mod-presentationMode .jp-Notebook {
+ --jp-content-font-size1: var(--jp-content-presentation-font-size1);
+ --jp-code-font-size: var(--jp-code-presentation-font-size);
+}
+
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-InputPrompt,
+.jp-mod-presentationMode .jp-Notebook .jp-Cell .jp-OutputPrompt {
+ flex: 0 0 110px;
+}
+
+/*-----------------------------------------------------------------------------
+| Side-by-side Mode (.jp-mod-sideBySide)
+|----------------------------------------------------------------------------*/
+.jp-mod-sideBySide.jp-Notebook .jp-Notebook-cell {
+ margin-top: 3em;
+ margin-bottom: 3em;
+ margin-left: 5%;
+ margin-right: 5%;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell {
+ display: grid;
+ grid-template-columns: minmax(0, 1fr) min-content minmax(
+ 0,
+ var(--jp-side-by-side-output-size)
+ );
+ grid-template-rows: auto minmax(0, 1fr) auto;
+ grid-template-areas:
+ 'header header header'
+ 'input handle output'
+ 'footer footer footer';
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell.jp-mod-resizedCell {
+ grid-template-columns: minmax(0, 1fr) min-content minmax(
+ 0,
+ var(--jp-side-by-side-resized-cell)
+ );
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellHeader {
+ grid-area: header;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-inputWrapper {
+ grid-area: input;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-Cell-outputWrapper {
+ /* overwrite the default margin (no vertical separation needed in side by side move */
+ margin-top: 0;
+ grid-area: output;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellFooter {
+ grid-area: footer;
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle {
+ grid-area: handle;
+ user-select: none;
+ display: block;
+ height: 100%;
+ cursor: ew-resize;
+ padding: 0 var(--jp-cell-padding);
+}
+
+.jp-mod-sideBySide.jp-Notebook .jp-CodeCell .jp-CellResizeHandle::after {
+ content: '';
+ display: block;
+ background: var(--jp-border-color2);
+ height: 100%;
+ width: 5px;
+}
+
+.jp-mod-sideBySide.jp-Notebook
+ .jp-CodeCell.jp-mod-resizedCell
+ .jp-CellResizeHandle::after {
+ background: var(--jp-border-color0);
+}
+
+.jp-CellResizeHandle {
+ display: none;
+}
+
+/*-----------------------------------------------------------------------------
+| Placeholder
+|----------------------------------------------------------------------------*/
+
+.jp-Cell-Placeholder {
+ padding-left: 55px;
+}
+
+.jp-Cell-Placeholder-wrapper {
+ background: #fff;
+ border: 1px solid;
+ border-color: #e5e6e9 #dfe0e4 #d0d1d5;
+ border-radius: 4px;
+ -webkit-border-radius: 4px;
+ margin: 10px 15px;
+}
+
+.jp-Cell-Placeholder-wrapper-inner {
+ padding: 15px;
+ position: relative;
+}
+
+.jp-Cell-Placeholder-wrapper-body {
+ background-repeat: repeat;
+ background-size: 50% auto;
+}
+
+.jp-Cell-Placeholder-wrapper-body div {
+ background: #f6f7f8;
+ background-image: -webkit-linear-gradient(
+ left,
+ #f6f7f8 0%,
+ #edeef1 20%,
+ #f6f7f8 40%,
+ #f6f7f8 100%
+ );
+ background-repeat: no-repeat;
+ background-size: 800px 104px;
+ height: 104px;
+ position: absolute;
+ right: 15px;
+ left: 15px;
+ top: 15px;
+}
+
+div.jp-Cell-Placeholder-h1 {
+ top: 20px;
+ height: 20px;
+ left: 15px;
+ width: 150px;
+}
+
+div.jp-Cell-Placeholder-h2 {
+ left: 15px;
+ top: 50px;
+ height: 10px;
+ width: 100px;
+}
+
+div.jp-Cell-Placeholder-content-1,
+div.jp-Cell-Placeholder-content-2,
+div.jp-Cell-Placeholder-content-3 {
+ left: 15px;
+ right: 15px;
+ height: 10px;
+}
+
+div.jp-Cell-Placeholder-content-1 {
+ top: 100px;
+}
+
+div.jp-Cell-Placeholder-content-2 {
+ top: 120px;
+}
+
+div.jp-Cell-Placeholder-content-3 {
+ top: 140px;
+}
+
+</style>
+<style type="text/css">
+/*-----------------------------------------------------------------------------
+| Copyright (c) Jupyter Development Team.
+| Distributed under the terms of the Modified BSD License.
+|----------------------------------------------------------------------------*/
+
+/*
+The following CSS variables define the main, public API for styling JupyterLab.
+These variables should be used by all plugins wherever possible. In other
+words, plugins should not define custom colors, sizes, etc unless absolutely
+necessary. This enables users to change the visual theme of JupyterLab
+by changing these variables.
+
+Many variables appear in an ordered sequence (0,1,2,3). These sequences
+are designed to work well together, so for example, `--jp-border-color1` should
+be used with `--jp-layout-color1`. The numbers have the following meanings:
+
+* 0: super-primary, reserved for special emphasis
+* 1: primary, most important under normal situations
+* 2: secondary, next most important under normal situations
+* 3: tertiary, next most important under normal situations
+
+Throughout JupyterLab, we are mostly following principles from Google's
+Material Design when selecting colors. We are not, however, following
+all of MD as it is not optimized for dense, information rich UIs.
+*/
+
+:root {
+ /* Elevation
+ *
+ * We style box-shadows using Material Design's idea of elevation. These particular numbers are taken from here:
+ *
+ * https://github.com/material-components/material-components-web
+ * https://material-components-web.appspot.com/elevation.html
+ */
+
+ --jp-shadow-base-lightness: 0;
+ --jp-shadow-umbra-color: rgba(
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ 0.2
+ );
+ --jp-shadow-penumbra-color: rgba(
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ 0.14
+ );
+ --jp-shadow-ambient-color: rgba(
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ var(--jp-shadow-base-lightness),
+ 0.12
+ );
+ --jp-elevation-z0: none;
+ --jp-elevation-z1: 0 2px 1px -1px var(--jp-shadow-umbra-color),
+ 0 1px 1px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 3px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z2: 0 3px 1px -2px var(--jp-shadow-umbra-color),
+ 0 2px 2px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 5px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z4: 0 2px 4px -1px var(--jp-shadow-umbra-color),
+ 0 4px 5px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 10px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z6: 0 3px 5px -1px var(--jp-shadow-umbra-color),
+ 0 6px 10px 0 var(--jp-shadow-penumbra-color),
+ 0 1px 18px 0 var(--jp-shadow-ambient-color);
+ --jp-elevation-z8: 0 5px 5px -3px var(--jp-shadow-umbra-color),
+ 0 8px 10px 1px var(--jp-shadow-penumbra-color),
+ 0 3px 14px 2px var(--jp-shadow-ambient-color);
+ --jp-elevation-z12: 0 7px 8px -4px var(--jp-shadow-umbra-color),
+ 0 12px 17px 2px var(--jp-shadow-penumbra-color),
+ 0 5px 22px 4px var(--jp-shadow-ambient-color);
+ --jp-elevation-z16: 0 8px 10px -5px var(--jp-shadow-umbra-color),
+ 0 16px 24px 2px var(--jp-shadow-penumbra-color),
+ 0 6px 30px 5px var(--jp-shadow-ambient-color);
+ --jp-elevation-z20: 0 10px 13px -6px var(--jp-shadow-umbra-color),
+ 0 20px 31px 3px var(--jp-shadow-penumbra-color),
+ 0 8px 38px 7px var(--jp-shadow-ambient-color);
+ --jp-elevation-z24: 0 11px 15px -7px var(--jp-shadow-umbra-color),
+ 0 24px 38px 3px var(--jp-shadow-penumbra-color),
+ 0 9px 46px 8px var(--jp-shadow-ambient-color);
+
+ /* Borders
+ *
+ * The following variables, specify the visual styling of borders in JupyterLab.
+ */
+
+ --jp-border-width: 1px;
+ --jp-border-color0: var(--md-grey-400);
+ --jp-border-color1: var(--md-grey-400);
+ --jp-border-color2: var(--md-grey-300);
+ --jp-border-color3: var(--md-grey-200);
+ --jp-inverse-border-color: var(--md-grey-600);
+ --jp-border-radius: 2px;
+
+ /* UI Fonts
+ *
+ * The UI font CSS variables are used for the typography all of the JupyterLab
+ * user interface elements that are not directly user generated content.
+ *
+ * The font sizing here is done assuming that the body font size of --jp-ui-font-size1
+ * is applied to a parent element. When children elements, such as headings, are sized
+ * in em all things will be computed relative to that body size.
+ */
+
+ --jp-ui-font-scale-factor: 1.2;
+ --jp-ui-font-size0: 0.83333em;
+ --jp-ui-font-size1: 13px; /* Base font size */
+ --jp-ui-font-size2: 1.2em;
+ --jp-ui-font-size3: 1.44em;
+ --jp-ui-font-family: system-ui, -apple-system, blinkmacsystemfont, 'Segoe UI',
+ helvetica, arial, sans-serif, 'Apple Color Emoji', 'Segoe UI Emoji',
+ 'Segoe UI Symbol';
+
+ /*
+ * Use these font colors against the corresponding main layout colors.
+ * In a light theme, these go from dark to light.
+ */
+
+ /* Defaults use Material Design specification */
+ --jp-ui-font-color0: rgba(0, 0, 0, 1);
+ --jp-ui-font-color1: rgba(0, 0, 0, 0.87);
+ --jp-ui-font-color2: rgba(0, 0, 0, 0.54);
+ --jp-ui-font-color3: rgba(0, 0, 0, 0.38);
+
+ /*
+ * Use these against the brand/accent/warn/error colors.
+ * These will typically go from light to darker, in both a dark and light theme.
+ */
+
+ --jp-ui-inverse-font-color0: rgba(255, 255, 255, 1);
+ --jp-ui-inverse-font-color1: rgba(255, 255, 255, 1);
+ --jp-ui-inverse-font-color2: rgba(255, 255, 255, 0.7);
+ --jp-ui-inverse-font-color3: rgba(255, 255, 255, 0.5);
+
+ /* Content Fonts
+ *
+ * Content font variables are used for typography of user generated content.
+ *
+ * The font sizing here is done assuming that the body font size of --jp-content-font-size1
+ * is applied to a parent element. When children elements, such as headings, are sized
+ * in em all things will be computed relative to that body size.
+ */
+
+ --jp-content-line-height: 1.6;
+ --jp-content-font-scale-factor: 1.2;
+ --jp-content-font-size0: 0.83333em;
+ --jp-content-font-size1: 14px; /* Base font size */
+ --jp-content-font-size2: 1.2em;
+ --jp-content-font-size3: 1.44em;
+ --jp-content-font-size4: 1.728em;
+ --jp-content-font-size5: 2.0736em;
+
+ /* This gives a magnification of about 125% in presentation mode over normal. */
+ --jp-content-presentation-font-size1: 17px;
+ --jp-content-heading-line-height: 1;
+ --jp-content-heading-margin-top: 1.2em;
+ --jp-content-heading-margin-bottom: 0.8em;
+ --jp-content-heading-font-weight: 500;
+
+ /* Defaults use Material Design specification */
+ --jp-content-font-color0: rgba(0, 0, 0, 1);
+ --jp-content-font-color1: rgba(0, 0, 0, 0.87);
+ --jp-content-font-color2: rgba(0, 0, 0, 0.54);
+ --jp-content-font-color3: rgba(0, 0, 0, 0.38);
+ --jp-content-link-color: var(--md-blue-900);
+ --jp-content-font-family: system-ui, -apple-system, blinkmacsystemfont,
+ 'Segoe UI', helvetica, arial, sans-serif, 'Apple Color Emoji',
+ 'Segoe UI Emoji', 'Segoe UI Symbol';
+
+ /*
+ * Code Fonts
+ *
+ * Code font variables are used for typography of code and other monospaces content.
+ */
+
+ --jp-code-font-size: 13px;
+ --jp-code-line-height: 1.3077; /* 17px for 13px base */
+ --jp-code-padding: 5px; /* 5px for 13px base, codemirror highlighting needs integer px value */
+ --jp-code-font-family-default: menlo, consolas, 'DejaVu Sans Mono', monospace;
+ --jp-code-font-family: var(--jp-code-font-family-default);
+
+ /* This gives a magnification of about 125% in presentation mode over normal. */
+ --jp-code-presentation-font-size: 16px;
+
+ /* may need to tweak cursor width if you change font size */
+ --jp-code-cursor-width0: 1.4px;
+ --jp-code-cursor-width1: 2px;
+ --jp-code-cursor-width2: 4px;
+
+ /* Layout
+ *
+ * The following are the main layout colors use in JupyterLab. In a light
+ * theme these would go from light to dark.
+ */
+
+ --jp-layout-color0: white;
+ --jp-layout-color1: white;
+ --jp-layout-color2: var(--md-grey-200);
+ --jp-layout-color3: var(--md-grey-400);
+ --jp-layout-color4: var(--md-grey-600);
+
+ /* Inverse Layout
+ *
+ * The following are the inverse layout colors use in JupyterLab. In a light
+ * theme these would go from dark to light.
+ */
+
+ --jp-inverse-layout-color0: #111;
+ --jp-inverse-layout-color1: var(--md-grey-900);
+ --jp-inverse-layout-color2: var(--md-grey-800);
+ --jp-inverse-layout-color3: var(--md-grey-700);
+ --jp-inverse-layout-color4: var(--md-grey-600);
+
+ /* Brand/accent */
+
+ --jp-brand-color0: var(--md-blue-900);
+ --jp-brand-color1: var(--md-blue-700);
+ --jp-brand-color2: var(--md-blue-300);
+ --jp-brand-color3: var(--md-blue-100);
+ --jp-brand-color4: var(--md-blue-50);
+ --jp-accent-color0: var(--md-green-900);
+ --jp-accent-color1: var(--md-green-700);
+ --jp-accent-color2: var(--md-green-300);
+ --jp-accent-color3: var(--md-green-100);
+
+ /* State colors (warn, error, success, info) */
+
+ --jp-warn-color0: var(--md-orange-900);
+ --jp-warn-color1: var(--md-orange-700);
+ --jp-warn-color2: var(--md-orange-300);
+ --jp-warn-color3: var(--md-orange-100);
+ --jp-error-color0: var(--md-red-900);
+ --jp-error-color1: var(--md-red-700);
+ --jp-error-color2: var(--md-red-300);
+ --jp-error-color3: var(--md-red-100);
+ --jp-success-color0: var(--md-green-900);
+ --jp-success-color1: var(--md-green-700);
+ --jp-success-color2: var(--md-green-300);
+ --jp-success-color3: var(--md-green-100);
+ --jp-info-color0: var(--md-cyan-900);
+ --jp-info-color1: var(--md-cyan-700);
+ --jp-info-color2: var(--md-cyan-300);
+ --jp-info-color3: var(--md-cyan-100);
+
+ /* Cell specific styles */
+
+ --jp-cell-padding: 5px;
+ --jp-cell-collapser-width: 8px;
+ --jp-cell-collapser-min-height: 20px;
+ --jp-cell-collapser-not-active-hover-opacity: 0.6;
+ --jp-cell-editor-background: var(--md-grey-100);
+ --jp-cell-editor-border-color: var(--md-grey-300);
+ --jp-cell-editor-box-shadow: inset 0 0 2px var(--md-blue-300);
+ --jp-cell-editor-active-background: var(--jp-layout-color0);
+ --jp-cell-editor-active-border-color: var(--jp-brand-color1);
+ --jp-cell-prompt-width: 64px;
+ --jp-cell-prompt-font-family: var(--jp-code-font-family-default);
+ --jp-cell-prompt-letter-spacing: 0;
+ --jp-cell-prompt-opacity: 1;
+ --jp-cell-prompt-not-active-opacity: 0.5;
+ --jp-cell-prompt-not-active-font-color: var(--md-grey-700);
+
+ /* A custom blend of MD grey and blue 600
+ * See https://meyerweb.com/eric/tools/color-blend/#546E7A:1E88E5:5:hex */
+ --jp-cell-inprompt-font-color: #307fc1;
+
+ /* A custom blend of MD grey and orange 600
+ * https://meyerweb.com/eric/tools/color-blend/#546E7A:F4511E:5:hex */
+ --jp-cell-outprompt-font-color: #bf5b3d;
+
+ /* Notebook specific styles */
+
+ --jp-notebook-padding: 10px;
+ --jp-notebook-select-background: var(--jp-layout-color1);
+ --jp-notebook-multiselected-color: var(--md-blue-50);
+
+ /* The scroll padding is calculated to fill enough space at the bottom of the
+ notebook to show one single-line cell (with appropriate padding) at the top
+ when the notebook is scrolled all the way to the bottom. We also subtract one
+ pixel so that no scrollbar appears if we have just one single-line cell in the
+ notebook. This padding is to enable a 'scroll past end' feature in a notebook.
+ */
+ --jp-notebook-scroll-padding: calc(
+ 100% - var(--jp-code-font-size) * var(--jp-code-line-height) -
+ var(--jp-code-padding) - var(--jp-cell-padding) - 1px
+ );
+
+ /* Rendermime styles */
+
+ --jp-rendermime-error-background: #fdd;
+ --jp-rendermime-table-row-background: var(--md-grey-100);
+ --jp-rendermime-table-row-hover-background: var(--md-light-blue-50);
+
+ /* Dialog specific styles */
+
+ --jp-dialog-background: rgba(0, 0, 0, 0.25);
+
+ /* Console specific styles */
+
+ --jp-console-padding: 10px;
+
+ /* Toolbar specific styles */
+
+ --jp-toolbar-border-color: var(--jp-border-color1);
+ --jp-toolbar-micro-height: 8px;
+ --jp-toolbar-background: var(--jp-layout-color1);
+ --jp-toolbar-box-shadow: 0 0 2px 0 rgba(0, 0, 0, 0.24);
+ --jp-toolbar-header-margin: 4px 4px 0 4px;
+ --jp-toolbar-active-background: var(--md-grey-300);
+
+ /* Statusbar specific styles */
+
+ --jp-statusbar-height: 24px;
+
+ /* Input field styles */
+
+ --jp-input-box-shadow: inset 0 0 2px var(--md-blue-300);
+ --jp-input-active-background: var(--jp-layout-color1);
+ --jp-input-hover-background: var(--jp-layout-color1);
+ --jp-input-background: var(--md-grey-100);
+ --jp-input-border-color: var(--jp-inverse-border-color);
+ --jp-input-active-border-color: var(--jp-brand-color1);
+ --jp-input-active-box-shadow-color: rgba(19, 124, 189, 0.3);
+
+ /* General editor styles */
+
+ --jp-editor-selected-background: #d9d9d9;
+ --jp-editor-selected-focused-background: #d7d4f0;
+ --jp-editor-cursor-color: var(--jp-ui-font-color0);
+
+ /* Code mirror specific styles */
+
+ --jp-mirror-editor-keyword-color: #008000;
+ --jp-mirror-editor-atom-color: #88f;
+ --jp-mirror-editor-number-color: #080;
+ --jp-mirror-editor-def-color: #00f;
+ --jp-mirror-editor-variable-color: var(--md-grey-900);
+ --jp-mirror-editor-variable-2-color: rgb(0, 54, 109);
+ --jp-mirror-editor-variable-3-color: #085;
+ --jp-mirror-editor-punctuation-color: #05a;
+ --jp-mirror-editor-property-color: #05a;
+ --jp-mirror-editor-operator-color: #a2f;
+ --jp-mirror-editor-comment-color: #408080;
+ --jp-mirror-editor-string-color: #ba2121;
+ --jp-mirror-editor-string-2-color: #708;
+ --jp-mirror-editor-meta-color: #a2f;
+ --jp-mirror-editor-qualifier-color: #555;
+ --jp-mirror-editor-builtin-color: #008000;
+ --jp-mirror-editor-bracket-color: #997;
+ --jp-mirror-editor-tag-color: #170;
+ --jp-mirror-editor-attribute-color: #00c;
+ --jp-mirror-editor-header-color: blue;
+ --jp-mirror-editor-quote-color: #090;
+ --jp-mirror-editor-link-color: #00c;
+ --jp-mirror-editor-error-color: #f00;
+ --jp-mirror-editor-hr-color: #999;
+
+ /*
+ RTC user specific colors.
+ These colors are used for the cursor, username in the editor,
+ and the icon of the user.
+ */
+
+ --jp-collaborator-color1: #ffad8e;
+ --jp-collaborator-color2: #dac83d;
+ --jp-collaborator-color3: #72dd76;
+ --jp-collaborator-color4: #00e4d0;
+ --jp-collaborator-color5: #45d4ff;
+ --jp-collaborator-color6: #e2b1ff;
+ --jp-collaborator-color7: #ff9de6;
+
+ /* Vega extension styles */
+
+ --jp-vega-background: white;
+
+ /* Sidebar-related styles */
+
+ --jp-sidebar-min-width: 250px;
+
+ /* Search-related styles */
+
+ --jp-search-toggle-off-opacity: 0.5;
+ --jp-search-toggle-hover-opacity: 0.8;
+ --jp-search-toggle-on-opacity: 1;
+ --jp-search-selected-match-background-color: rgb(245, 200, 0);
+ --jp-search-selected-match-color: black;
+ --jp-search-unselected-match-background-color: var(
+ --jp-inverse-layout-color0
+ );
+ --jp-search-unselected-match-color: var(--jp-ui-inverse-font-color0);
+
+ /* Icon colors that work well with light or dark backgrounds */
+ --jp-icon-contrast-color0: var(--md-purple-600);
+ --jp-icon-contrast-color1: var(--md-green-600);
+ --jp-icon-contrast-color2: var(--md-pink-600);
+ --jp-icon-contrast-color3: var(--md-blue-600);
+
+ /* Button colors */
+ --jp-accept-color-normal: var(--md-blue-700);
+ --jp-accept-color-hover: var(--md-blue-800);
+ --jp-accept-color-active: var(--md-blue-900);
+ --jp-warn-color-normal: var(--md-red-700);
+ --jp-warn-color-hover: var(--md-red-800);
+ --jp-warn-color-active: var(--md-red-900);
+ --jp-reject-color-normal: var(--md-grey-600);
+ --jp-reject-color-hover: var(--md-grey-700);
+ --jp-reject-color-active: var(--md-grey-800);
+
+ /* File or activity icons and switch semantic variables */
+ --jp-jupyter-icon-color: #f37626;
+ --jp-notebook-icon-color: #f37626;
+ --jp-json-icon-color: var(--md-orange-700);
+ --jp-console-icon-background-color: var(--md-blue-700);
+ --jp-console-icon-color: white;
+ --jp-terminal-icon-background-color: var(--md-grey-800);
+ --jp-terminal-icon-color: var(--md-grey-200);
+ --jp-text-editor-icon-color: var(--md-grey-700);
+ --jp-inspector-icon-color: var(--md-grey-700);
+ --jp-switch-color: var(--md-grey-400);
+ --jp-switch-true-position-color: var(--md-orange-900);
+}
+</style>
+<style type="text/css">
+/* Force rendering true colors when outputing to pdf */
+* {
+ -webkit-print-color-adjust: exact;
+}
+
+/* Misc */
+a.anchor-link {
+ display: none;
+}
+
+/* Input area styling */
+.jp-InputArea {
+ overflow: hidden;
+}
+
+.jp-InputArea-editor {
+ overflow: hidden;
+}
+
+.cm-editor.cm-s-jupyter .highlight pre {
+/* weird, but --jp-code-padding defined to be 5px but 4px horizontal padding is hardcoded for pre.cm-line */
+ padding: var(--jp-code-padding) 4px;
+ margin: 0;
+
+ font-family: inherit;
+ font-size: inherit;
+ line-height: inherit;
+ color: inherit;
+
+}
+
+.jp-OutputArea-output pre {
+ line-height: inherit;
+ font-family: inherit;
+}
+
+.jp-RenderedText pre {
+ color: var(--jp-content-font-color1);
+ font-size: var(--jp-code-font-size);
+}
+
+/* Hiding the collapser by default */
+.jp-Collapser {
+ display: none;
+}
+
+@page {
+ margin: 0.5in; /* Margin for each printed piece of paper */
+}
+
+@media print {
+ .jp-Cell-inputWrapper,
+ .jp-Cell-outputWrapper {
+ display: block;
+ }
+}
+</style>
+<!-- Load mathjax -->
+<script src="https://cdnjs.cloudflare.com/ajax/libs/mathjax/2.7.7/latest.js?config=TeX-AMS_CHTML-full,Safe"> </script>
+<!-- MathJax configuration -->
+<script type="text/x-mathjax-config">
+ init_mathjax = function() {
+ if (window.MathJax) {
+ // MathJax loaded
+ MathJax.Hub.Config({
+ TeX: {
+ equationNumbers: {
+ autoNumber: "AMS",
+ useLabelIds: true
+ }
+ },
+ tex2jax: {
+ inlineMath: [ ['$','$'], ["\\(","\\)"] ],
+ displayMath: [ ['$$','$$'], ["\\[","\\]"] ],
+ processEscapes: true,
+ processEnvironments: true
+ },
+ displayAlign: 'center',
+ CommonHTML: {
+ linebreaks: {
+ automatic: true
+ }
+ }
+ });
+
+ MathJax.Hub.Queue(["Typeset", MathJax.Hub]);
+ }
+ }
+ init_mathjax();
+ </script>
+<!-- End of mathjax configuration --><script type="module">
+ document.addEventListener("DOMContentLoaded", async () => {
+ const diagrams = document.querySelectorAll(".jp-Mermaid > pre.mermaid");
+ // do not load mermaidjs if not needed
+ if (!diagrams.length) {
+ return;
+ }
+ const mermaid = (await import("https://cdnjs.cloudflare.com/ajax/libs/mermaid/10.6.0/mermaid.esm.min.mjs")).default;
+ const parser = new DOMParser();
+
+ mermaid.initialize({
+ maxTextSize: 100000,
+ startOnLoad: false,
+ fontFamily: window
+ .getComputedStyle(document.body)
+ .getPropertyValue("--jp-ui-font-family"),
+ theme: document.querySelector("body[data-jp-theme-light='true']")
+ ? "default"
+ : "dark",
+ });
+
+ let _nextMermaidId = 0;
+
+ function makeMermaidImage(svg) {
+ const img = document.createElement("img");
+ const doc = parser.parseFromString(svg, "image/svg+xml");
+ const svgEl = doc.querySelector("svg");
+ const { maxWidth } = svgEl?.style || {};
+ const firstTitle = doc.querySelector("title");
+ const firstDesc = doc.querySelector("desc");
+
+ img.setAttribute("src", `data:image/svg+xml,${encodeURIComponent(svg)}`);
+ if (maxWidth) {
+ img.width = parseInt(maxWidth);
+ }
+ if (firstTitle) {
+ img.setAttribute("alt", firstTitle.textContent);
+ }
+ if (firstDesc) {
+ const caption = document.createElement("figcaption");
+ caption.className = "sr-only";
+ caption.textContent = firstDesc.textContent;
+ return [img, caption];
+ }
+ return [img];
+ }
+
+ async function makeMermaidError(text) {
+ let errorMessage = "";
+ try {
+ await mermaid.parse(text);
+ } catch (err) {
+ errorMessage = `${err}`;
+ }
+
+ const result = document.createElement("details");
+ result.className = 'jp-RenderedMermaid-Details';
+ const summary = document.createElement("summary");
+ summary.className = 'jp-RenderedMermaid-Summary';
+ const pre = document.createElement("pre");
+ const code = document.createElement("code");
+ code.innerText = text;
+ pre.appendChild(code);
+ summary.appendChild(pre);
+ result.appendChild(summary);
+
+ const warning = document.createElement("pre");
+ warning.innerText = errorMessage;
+ result.appendChild(warning);
+ return [result];
+ }
+
+ async function renderOneMarmaid(src) {
+ const id = `jp-mermaid-${_nextMermaidId++}`;
+ const parent = src.parentNode;
+ let raw = src.textContent.trim();
+ const el = document.createElement("div");
+ el.style.visibility = "hidden";
+ document.body.appendChild(el);
+ let results = null;
+ let output = null;
+ try {
+ const { svg } = await mermaid.render(id, raw, el);
+ results = makeMermaidImage(svg);
+ output = document.createElement("figure");
+ results.map(output.appendChild, output);
+ } catch (err) {
+ parent.classList.add("jp-mod-warning");
+ results = await makeMermaidError(raw);
+ output = results[0];
+ } finally {
+ el.remove();
+ }
+ parent.classList.add("jp-RenderedMermaid");
+ parent.appendChild(output);
+ }
+
+ void Promise.all([...diagrams].map(renderOneMarmaid));
+ });
+</script>
+<style>
+ .jp-Mermaid:not(.jp-RenderedMermaid) {
+ display: none;
+ }
+
+ .jp-RenderedMermaid {
+ overflow: auto;
+ display: flex;
+ }
+
+ .jp-RenderedMermaid.jp-mod-warning {
+ width: auto;
+ padding: 0.5em;
+ margin-top: 0.5em;
+ border: var(--jp-border-width) solid var(--jp-warn-color2);
+ border-radius: var(--jp-border-radius);
+ color: var(--jp-ui-font-color1);
+ font-size: var(--jp-ui-font-size1);
+ white-space: pre-wrap;
+ word-wrap: break-word;
+ }
+
+ .jp-RenderedMermaid figure {
+ margin: 0;
+ overflow: auto;
+ max-width: 100%;
+ }
+
+ .jp-RenderedMermaid img {
+ max-width: 100%;
+ }
+
+ .jp-RenderedMermaid-Details > pre {
+ margin-top: 1em;
+ }
+
+ .jp-RenderedMermaid-Summary {
+ color: var(--jp-warn-color2);
+ }
+
+ .jp-RenderedMermaid:not(.jp-mod-warning) pre {
+ display: none;
+ }
+
+ .jp-RenderedMermaid-Summary > pre {
+ display: inline-block;
+ white-space: normal;
+ }
+</style>
+<!-- End of mermaid configuration --></head>
+<body class="jp-Notebook" data-jp-theme-light="true" data-jp-theme-name="JupyterLab Light">
+<main>
+<div class="jp-Cell jp-MarkdownCell jp-Notebook-cell">
+<div class="jp-Cell-inputWrapper" tabindex="0">
+<div class="jp-Collapser jp-InputCollapser jp-Cell-inputCollapser">
+</div>
+<div class="jp-InputArea jp-Cell-inputArea"><div class="jp-InputPrompt jp-InputArea-prompt">
+</div><div class="jp-RenderedHTMLCommon jp-RenderedMarkdown jp-MarkdownOutput" data-mime-type="text/markdown">
+<h1 id="README-for-Group-Assignment-2.3">README for Group Assignment 2.3<a class="anchor-link" href="#README-for-Group-Assignment-2.3">¶</a></h1><p><em><a href="http://mude.citg.tudelft.nl/">CEGM1000 MUDE</a>: Week 2.3, Friday, Nov 29, 2024.</em></p>
+<p>The focus of this assignment is on signal processing, and specifically on spectral analysis (i.e. analysis of signals in the frequency domain).</p>
+<p>Your primary objective is to complete all tasks in the notebook <code>Analysis.ipynb</code>. Unlike other weeks, for this GA it is not required to put your answers in a <code>Report.md</code> file (yay!).** Make sure you use the space provided in the notebooks to complete the tasks, and that the output is included in the notebook when you commit and push it to GitHub.</p>
+<h3 id="Overview-of-material">Overview of material<a class="anchor-link" href="#Overview-of-material">¶</a></h3><ul>
+<li>this <code>README.md</code> with instructions</li>
+<li><code>Analysis.ipynb</code>, the Jupyter notebook with description and tasks, to be used for actual coding</li>
+<li><code>cantileverbeam_acc50Hz.csv</code>, data file with acceleration measurements from the cantilever beam (tasks 7-9)</li>
+<li><code>CSIRO_Alt_seas_inc.txt</code>, data file with Global Mean Sea Level measurements (task 10; optional)</li>
+<li><a href="https://youtu.be/o4moRwvlBLU?si=aKelBMWm3HB2Of26">Cantilever Beam Experiment Video</a>: a short supplementary one minute movie illustrating the cantilever-beam experiment.</li>
+</ul>
+<p>You can complete this assignment with the <code>mude-base</code> environment.</p>
+<p>Grading and submission is identical to previous weeks.</p>
+<h2 id="Task-Overview">Task Overview<a class="anchor-link" href="#Task-Overview">¶</a></h2><p>As mentioned above: there is no <code>Report.md</code>, only a notebook!</p>
+<p>That said, we strongly <strong>dis</strong>courage you from working on this project in smaller sub-teams. The Tasks build on each other sequentially, so skipping ahead to a later task will only result in confusion!</p>
+<p><strong>End of file.</strong></p>
+<span style="font-size: 75%">
+© Copyright 2024 <a href="http://mude.citg.tudelft.nl/" rel="MUDE">MUDE</a>, TU Delft. This work is licensed under a <a href="http://creativecommons.org/licenses/by/4.0/" rel="license">CC BY 4.0 License</a>.
+
+</span></div>
+</div>
+</div>
+</div>
+</main>
+</body>
+</html>
diff --git a/src/students/GA_2_3/README.md b/src/students/GA_2_3/README.md
deleted file mode 100644
index 76bfbb0bbd4016266809a201aa5dab544b3ab880..0000000000000000000000000000000000000000
--- a/src/students/GA_2_3/README.md
+++ /dev/null
@@ -1,30 +0,0 @@
-# README for Group Assignment 2.3
-
-*[CEGM1000 MUDE](http://mude.citg.tudelft.nl/): Week 2.3, Friday, Nov 29, 2024.*
-
-The focus of this assignment is on signal processing, and specifically on spectral analysis (i.e. analysis of signals in the frequency domain).
-
-Your primary objective is to complete all tasks in the notebook `Analysis.ipynb`. Unlike other weeks, for this GA it is not required to put your answers in a `Report.md` file (yay!).** Make sure you use the space provided in the notebooks to complete the tasks, and that the output is included in the notebook when you commit and push it to GitHub.
-
-### Overview of material
-
-- this `README.md` with instructions
-- `Analysis.ipynb`, the Jupyter notebook with description and tasks, to be used for actual coding
-- `cantileverbeam_acc50Hz.csv`, data file with acceleration measurements from the cantilever beam (tasks 7-9)
-- `CSIRO_Alt_seas_inc.txt`, data file with Global Mean Sea Level measurements (task 10; optional)
-- [Cantilever Beam Experiment Video](https://youtu.be/o4moRwvlBLU?si=aKelBMWm3HB2Of26): a short supplementary one minute movie illustrating the cantilever-beam experiment.
-
-You can complete this assignment with the `mude-base` environment.
-
-Grading and submission is identical to previous weeks.
-
-## Task Overview
-
-As mentioned above: there is no `Report.md`, only a notebook!
-
-That said, we strongly **dis**courage you from working on this project in smaller sub-teams. The Tasks build on each other sequentially, so skipping ahead to a later task will only result in confusion!
-
-**End of file.**
-
-<span style="font-size: 75%">
-© Copyright 2024 <a rel="MUDE" href="http://mude.citg.tudelft.nl/">MUDE</a>, TU Delft. This work is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">CC BY 4.0 License</a>.
\ No newline at end of file
diff --git a/src/students/GA_2_3/cantileverbeam_acc50Hz.csv b/src/students/GA_2_3/cantileverbeam_acc50Hz.csv
deleted file mode 100644
index 771c7fd6a28f4e69e63bfa67631ad18bc5a0ea29..0000000000000000000000000000000000000000
--- a/src/students/GA_2_3/cantileverbeam_acc50Hz.csv
+++ /dev/null
@@ -1,15002 +0,0 @@
-time,acceleration
-66720.001,-0.447958
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