From 73423bd3161482ca4e858c9da5df59bf294ceae0 Mon Sep 17 00:00:00 2001
From: Nikhil Prasad <nprasad2077@gmail.com>
Date: Fri, 15 May 2026 21:33:11 -0500
Subject: [PATCH] initial training complete

---
 .gitignore                                    |   13 +
 .harlequin.toml                               |    8 +
 README.md                                     |  101 +-
 docs/HTML/01_data_loading.html                | 8352 ++++++++++++++++
 docs/HTML/02_model_training.html              | 8459 +++++++++++++++++
 docs/nbconvert/01_data_loading.md             |  171 +
 .../01_data_loading_10_0.png                  |  Bin 0 -> 14665 bytes
 .../01_data_loading_11_0.png                  |  Bin 0 -> 15611 bytes
 docs/nbconvert/02_model_training.md           |  340 +
 .../02_model_training_12_0.png                |  Bin 0 -> 41983 bytes
 .../02_model_training_14_0.png                |  Bin 0 -> 33549 bytes
 .../02_model_training_17_0.png                |  Bin 0 -> 21930 bytes
 .../HTML_convert/01_data_loading.html         | 2303 +++++
 .../HTML_convert/02_model_training.html       | 2320 +++++
 notebooks/01_data_loading.ipynb               |  537 ++
 notebooks/02_model_training.ipynb             |  533 ++
 requirements.txt                              |   21 +
 17 files changed, 23157 insertions(+), 1 deletion(-)
 create mode 100644 .harlequin.toml
 create mode 100644 docs/HTML/01_data_loading.html
 create mode 100644 docs/HTML/02_model_training.html
 create mode 100644 docs/nbconvert/01_data_loading.md
 create mode 100644 docs/nbconvert/01_data_loading_files/01_data_loading_10_0.png
 create mode 100644 docs/nbconvert/01_data_loading_files/01_data_loading_11_0.png
 create mode 100644 docs/nbconvert/02_model_training.md
 create mode 100644 docs/nbconvert/02_model_training_files/02_model_training_12_0.png
 create mode 100644 docs/nbconvert/02_model_training_files/02_model_training_14_0.png
 create mode 100644 docs/nbconvert/02_model_training_files/02_model_training_17_0.png
 create mode 100644 docs/nbconvert/HTML_convert/01_data_loading.html
 create mode 100644 docs/nbconvert/HTML_convert/02_model_training.html
 create mode 100644 notebooks/01_data_loading.ipynb
 create mode 100644 notebooks/02_model_training.ipynb
 create mode 100644 requirements.txt

diff --git a/.gitignore b/.gitignore
index 83972fa..8cd2c0b 100644
--- a/.gitignore
+++ b/.gitignore
@@ -216,3 +216,16 @@ __marimo__/
 
 # Streamlit
 .streamlit/secrets.toml
+
+
+docs\prompts\
+docs/prompts/
+docs\prompts
+docs/prompts
+
+data\
+data
+
+setup.ps1
+*.ps1
+
diff --git a/.harlequin.toml b/.harlequin.toml
new file mode 100644
index 0000000..8e9ba8e
--- /dev/null
+++ b/.harlequin.toml
@@ -0,0 +1,8 @@
+default_profile = "duckdb"
+
+[profiles.duckdb]
+adapter = "duckdb"
+theme = "textual-light"
+limit = 100000
+keymap_name = ["vscode"]
+locale = "C"
diff --git a/README.md b/README.md
index 97601e0..6e76731 100644
--- a/README.md
+++ b/README.md
@@ -1 +1,100 @@
-# MNIST
\ No newline at end of file
+# MNIST Handwritten Digit Classification
+
+A learning project for training a neural network on the MNIST dataset using PyTorch and DuckDB, with Jupyter notebooks for step-by-step visualization.
+
+## Quick Start
+
+```powershell
+# 1. Run the setup script (creates venv, installs deps, extracts data)
+.\setup.ps1
+
+# 2. Open VSCode in this folder
+code .
+
+# 3. Open notebooks/01_data_loading.ipynb
+#    Select kernel: "MNIST (Python)"
+#    Run all cells
+```
+
+## Manual Setup
+
+If you prefer to set up manually:
+
+```powershell
+# Create and activate virtual environment
+python -m venv .venv
+.\.venv\Scripts\Activate.ps1
+
+# Install dependencies
+pip install -r requirements.txt
+
+# Register Jupyter kernel for VSCode
+python -m ipykernel install --user --name mnist --display-name "MNIST (Python)"
+
+# Extract data (if not already done)
+Expand-Archive -Path data\MNIST_ORG.zip -DestinationPath data -Force
+```
+
+## VSCode Notebook Setup
+
+1. Install the **Jupyter** extension in VSCode (`ms-toolsai.jupyter`)
+2. Open any `.ipynb` file
+3. Click "Select Kernel" → "Jupyter Kernel" → **MNIST (Python)** (view kernels installed: `jupyter kernelspec list`. May need to refresh list.)
+4. Run cells with `Shift+Enter`
+
+## Project Structure
+
+```
+MNIST/
+├── data/
+│   ├── MNIST_ORG.zip              # Original compressed data
+│   ├── train-images.idx3-ubyte    # 60,000 training images (28x28)
+│   ├── train-labels.idx1-ubyte    # Training labels (0-9)
+│   ├── t10k-images.idx3-ubyte     # 10,000 test images
+│   ├── t10k-labels.idx1-ubyte     # Test labels
+│   └── mnist.duckdb               # Generated after running notebook 01
+├── notebooks/
+│   ├── 01_data_loading.ipynb      # Parse IDX files → DuckDB, explore with SQL
+│   └── 02_model_training.ipynb    # Train neural net, visualize results
+├── requirements.txt
+├── setup.ps1
+└── README.md
+```
+
+## Notebooks
+
+### 01 - Data Loading & DuckDB Storage
+- Parses raw MNIST IDX binary format
+- Stores all 70,000 images in DuckDB (queryable with SQL)
+- Explores label distribution and pixel intensity
+- Visualizes sample digits
+
+### 02 - Model Training & Visualization
+- Loads data from DuckDB into PyTorch
+- Trains a fully-connected neural network (784 → 256 → 128 → 10)
+- Tracks loss and accuracy per epoch
+- Visualizes training curves, confusion matrix, and misclassified examples
+- Saves model weights and training history
+
+## Key Hyperparameters to Experiment With
+
+| Parameter | Default | Effect |
+|-----------|---------|--------|
+| Learning Rate | 0.001 | Step size for optimization |
+| Hidden Layers | 256, 128 | Model capacity |
+| Dropout | 0.2 | Regularization strength |
+| Batch Size | 128 | Gradient noise vs speed |
+| Epochs | 15 | Training duration |
+
+## Tech Stack
+
+- **DuckDB** - In-process SQL database for data storage and exploration
+- **PyTorch** - Neural network training framework
+- **Matplotlib/Seaborn** - Visualization
+- **Jupyter** - Interactive notebook environment in VSCode
+
+## References
+
+- [MNIST Database](http://yann.lecun.com/exdb/mnist/)
+- [PyTorch Documentation](https://pytorch.org/docs/stable/)
+- [DuckDB Documentation](https://duckdb.org/docs/)
diff --git a/docs/HTML/01_data_loading.html b/docs/HTML/01_data_loading.html
new file mode 100644
index 0000000..925c93c
--- /dev/null
+++ b/docs/HTML/01_data_loading.html
@@ -0,0 +1,8352 @@
+<!DOCTYPE html>
+
+<html lang="en">
+<head><meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
+<title>01_data_loading</title><script src="https://cdnjs.cloudflare.com/ajax/libs/require.js/2.1.10/require.min.js"></script>
+<style type="text/css">
+    pre { line-height: 125%; }
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+  -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,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);
+  --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,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbi1ub25lIGpwLWljb24tc2VsZWN0YWJsZS1pbnZlcnNlIGpwLWljb24zLWhvdmVyIiBmaWxsPSJub25lIj4KICAgIDxjaXJjbGUgY3g9IjEyIiBjeT0iMTIiIHI9IjExIi8+CiAgPC9nPgoKICA8ZyBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIGpwLWljb24tYWNjZW50Mi1ob3ZlciIgZmlsbD0iIzYxNjE2MSI+CiAgICA8cGF0aCBkPSJNMTkgNi40MUwxNy41OSA1IDEyIDEwLjU5IDYuNDEgNSA1IDYuNDEgMTAuNTkgMTIgNSAxNy41OSA2LjQxIDE5IDEyIDEzLjQxIDE3LjU5IDE5IDE5IDE3LjU5IDEzLjQxIDEyeiIvPgogIDwvZz4KCiAgPGcgY2xhc3M9ImpwLWljb24tbm9uZSBqcC1pY29uLWJ1c3kiIGZpbGw9Im5vbmUiPgogICAgPGNpcmNsZSBjeD0iMTIiIGN5PSIxMiIgcj0iNyIvPgogIDwvZz4KPC9zdmc+Cg==);
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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,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDUxMiA1MTIiPgogIDxwYXRoIGNsYXNzPSJqcC1pY29uMCBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiMwMDAiIGQ9Ik0xMDguNCAwaDIzdjIyLjhoMjEuMlYwaDIzdjY5aC0yM1Y0NmgtMjF2MjNoLTIzLjJNMjA2IDIzaC0yMC4zVjBoNjMuN3YyM0gyMjl2NDZoLTIzbTUzLjUtNjloMjQuMWwxNC44IDI0LjNMMzEzLjIgMGgyNC4xdjY5aC0yM1YzNC44bC0xNi4xIDI0LjgtMTYuMS0yNC44VjY5aC0yMi42bTg5LjItNjloMjN2NDYuMmgzMi42VjY5aC01NS42Ii8+CiAgPHBhdGggY2xhc3M9ImpwLWljb24tc2VsZWN0YWJsZSIgZmlsbD0iI2U0NGQyNiIgZD0iTTEwNy42IDQ3MWwtMzMtMzcwLjRoMzYyLjhsLTMzIDM3MC4yTDI1NS43IDUxMiIvPgogIDxwYXRoIGNsYXNzPSJqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiNmMTY1MjkiIGQ9Ik0yNTYgNDgwLjVWMTMxaDE0OC4zTDM3NiA0NDciLz4KICA8cGF0aCBjbGFzcz0ianAtaWNvbi1zZWxlY3RhYmxlLWludmVyc2UiIGZpbGw9IiNlYmViZWIiIGQ9Ik0xNDIgMTc2LjNoMTE0djQ1LjRoLTY0LjJsNC4yIDQ2LjVoNjB2NDUuM0gxNTQuNG0yIDIyLjhIMjAybDMuMiAzNi4zIDUwLjggMTMuNnY0Ny40bC05My4yLTI2Ii8+CiAgPHBhdGggY2xhc3M9ImpwLWljb24tc2VsZWN0YWJsZS1pbnZlcnNlIiBmaWxsPSIjZmZmIiBkPSJNMzY5LjYgMTc2LjNIMjU1Ljh2NDUuNGgxMDkuNm0tNC4xIDQ2LjVIMjU1Ljh2NDUuNGg1NmwtNS4zIDU5LTUwLjcgMTMuNnY0Ny4ybDkzLTI1LjgiLz4KPC9zdmc+Cg==);
+  --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,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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;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.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',
+                messageStyle: 'none',
+                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/11.10.0/mermaid.esm.min.mjs")).default;
+    const elkUrl = "https://cdnjs.cloudflare.com/ajax/libs/mermaid-layout-elk/0.1.9/mermaid-layout-elk.esm.min.mjs";
+    if(elkUrl) {
+      const elkLayouts = (await import(elkUrl)).default;
+      mermaid.registerLayoutLoaders(elkLayouts);
+    }
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      maxEdges: 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-${_nextMermaidId++}`;
+      const parent = src.parentNode;
+      let raw = src.textContent.trim();
+      const el = document.createElement("div");
+      el.style.visibility = "hidden";
+      document.body.appendChild(el);
+      let results = null;
+      let output = null;
+      try {
+        let { svg } = await mermaid.render(id, raw, el);
+        svg = cleanMermaidSvg(svg);
+        results = makeMermaidImage(svg);
+        output = document.createElement("figure");
+        results.map(output.appendChild, output);
+      } catch (err) {
+        parent.classList.add("jp-mod-warning");
+        results = await makeMermaidError(raw);
+        output = results[0];
+      } finally {
+        el.remove();
+      }
+      parent.classList.add("jp-RenderedMermaid");
+      parent.appendChild(output);
+    }
+
+
+    /**
+     * Post-process to ensure mermaid diagrams contain only valid SVG and XHTML.
+     */
+    function cleanMermaidSvg(svg) {
+      svg = svg.replace(RE_VOID_ELEMENT, replaceVoidElement);
+      return `${SVG_XML_HEADER}${svg}`;
+    }
+
+
+    /**
+     * A regular expression for all void elements, which may include attributes and
+     * a slash.
+     *
+     * @see https://developer.mozilla.org/en-US/docs/Glossary/Void_element
+     *
+     * Of these, only `<br>` is generated by Mermaid in place of `\n`,
+     * but _any_ "malformed" tag will break the SVG rendering entirely.
+     */
+    const RE_VOID_ELEMENT =
+      /<\s*(area|base|br|col|embed|hr|img|input|link|meta|param|source|track|wbr)\s*([^>]*?)\s*>/gi;
+
+    /**
+     * Ensure a void element is closed with a slash, preserving any attributes.
+     */
+    function replaceVoidElement(match, tag, rest) {
+      rest = rest.trim();
+      if (!rest.endsWith('/')) {
+        rest = `${rest} /`;
+      }
+      return `<${tag} ${rest}>`;
+    }
+
+
+  /**
+   * Named HTML entities with their decimal equivalent codes.
+   *
+   * @see https://www.w3.org/TR/WD-html40-970708/sgml/entities.html
+   * */
+  const HTML_ENTITIES = `<!ENTITY Aacute "&#193;">
+<!ENTITY aacute "&#225;">
+<!ENTITY Acirc "&#194;">
+<!ENTITY acirc "&#226;">
+<!ENTITY acute "&#180;">
+<!ENTITY AElig "&#198;">
+<!ENTITY aelig "&#230;">
+<!ENTITY Agrave "&#192;">
+<!ENTITY agrave "&#224;">
+<!ENTITY alefsym "&#8501;">
+<!ENTITY Alpha "&#913;">
+<!ENTITY alpha "&#945;">
+<!ENTITY amp "&#38;">
+<!ENTITY and "&#8869;">
+<!ENTITY ang "&#8736;">
+<!ENTITY Aring "&#197;">
+<!ENTITY aring "&#229;">
+<!ENTITY asymp "&#8776;">
+<!ENTITY Atilde "&#195;">
+<!ENTITY atilde "&#227;">
+<!ENTITY Auml "&#196;">
+<!ENTITY auml "&#228;">
+<!ENTITY bdquo "&#8222;">
+<!ENTITY Beta "&#914;">
+<!ENTITY beta "&#946;">
+<!ENTITY brvbar "&#166;">
+<!ENTITY bull "&#8226;">
+<!ENTITY cap "&#8745;">
+<!ENTITY Ccedil "&#199;">
+<!ENTITY ccedil "&#231;">
+<!ENTITY cedil "&#184;">
+<!ENTITY cent "&#162;">
+<!ENTITY Chi "&#935;">
+<!ENTITY chi "&#967;">
+<!ENTITY circ "&#710;">
+<!ENTITY clubs "&#9827;">
+<!ENTITY cong "&#8773;">
+<!ENTITY copy "&#169;">
+<!ENTITY crarr "&#8629;">
+<!ENTITY cup "&#8746;">
+<!ENTITY curren "&#164;">
+<!ENTITY dagger "&#8224;">
+<!ENTITY Dagger "&#8225;">
+<!ENTITY darr "&#8595;">
+<!ENTITY dArr "&#8659;">
+<!ENTITY deg "&#176;">
+<!ENTITY Delta "&#916;">
+<!ENTITY delta "&#948;">
+<!ENTITY diams "&#9830;">
+<!ENTITY divide "&#247;">
+<!ENTITY Eacute "&#201;">
+<!ENTITY eacute "&#233;">
+<!ENTITY Ecirc "&#202;">
+<!ENTITY ecirc "&#234;">
+<!ENTITY Egrave "&#200;">
+<!ENTITY egrave "&#232;">
+<!ENTITY empty "&#8709;">
+<!ENTITY emsp "&#8195;">
+<!ENTITY ensp "&#8194;">
+<!ENTITY epsilon "&#949;">
+<!ENTITY Epsilon "&#917;">
+<!ENTITY equiv "&#8801;">
+<!ENTITY Eta "&#919;">
+<!ENTITY eta "&#951;">
+<!ENTITY ETH "&#208;">
+<!ENTITY eth "&#240;">
+<!ENTITY Euml "&#203;">
+<!ENTITY euml "&#235;">
+<!ENTITY exist "&#8707;">
+<!ENTITY fnof "&#402;">
+<!ENTITY forall "&#8704;">
+<!ENTITY frac12 "&#189;">
+<!ENTITY frac14 "&#188;">
+<!ENTITY frac34 "&#190;">
+<!ENTITY frasl "&#8260;">
+<!ENTITY Gamma "&#915;">
+<!ENTITY gamma "&#947;">
+<!ENTITY ge "&#8805;">
+<!ENTITY gt "&#62;">
+<!ENTITY harr "&#8596;">
+<!ENTITY hArr "&#8660;">
+<!ENTITY hearts "&#9829;">
+<!ENTITY hellip "&#8230;">
+<!ENTITY Iacute "&#205;">
+<!ENTITY iacute "&#237;">
+<!ENTITY Icirc "&#206;">
+<!ENTITY icirc "&#238;">
+<!ENTITY iexcl "&#161;">
+<!ENTITY Igrave "&#204;">
+<!ENTITY igrave "&#236;">
+<!ENTITY image "&#8465;">
+<!ENTITY infin "&#8734;">
+<!ENTITY int "&#8747;">
+<!ENTITY Iota "&#921;">
+<!ENTITY iota "&#953;">
+<!ENTITY iquest "&#191;">
+<!ENTITY isin "&#8712;">
+<!ENTITY Iuml "&#207;">
+<!ENTITY iuml "&#239;">
+<!ENTITY Kappa "&#922;">
+<!ENTITY kappa "&#954;">
+<!ENTITY Lambda "&#923;">
+<!ENTITY lambda "&#955;">
+<!ENTITY lang "&#9001;">
+<!ENTITY laquo "&#171;">
+<!ENTITY larr "&#8592;">
+<!ENTITY lArr "&#8656;">
+<!ENTITY lceil "&#8968;">
+<!ENTITY ldquo "&#8220;">
+<!ENTITY le "&#8804;">
+<!ENTITY lfloor "&#8970;">
+<!ENTITY lowast "&#8727;">
+<!ENTITY loz "&#9674;">
+<!ENTITY lrm "&#8206;">
+<!ENTITY lsaquo "&#8249;">
+<!ENTITY lsquo "&#8216;">
+<!ENTITY lt "&#60;">
+<!ENTITY macr "&#175;">
+<!ENTITY mdash "&#8212;">
+<!ENTITY micro "&#181;">
+<!ENTITY middot "&#183;">
+<!ENTITY minus "&#8722;">
+<!ENTITY Mu "&#924;">
+<!ENTITY mu "&#956;">
+<!ENTITY nabla "&#8711;">
+<!ENTITY nbsp "&#160;">
+<!ENTITY ndash "&#8211;">
+<!ENTITY ne "&#8800;">
+<!ENTITY ni "&#8715;">
+<!ENTITY not "&#172;">
+<!ENTITY notin "&#8713;">
+<!ENTITY nsub "&#8836;">
+<!ENTITY Ntilde "&#209;">
+<!ENTITY ntilde "&#241;">
+<!ENTITY Nu "&#925;">
+<!ENTITY nu "&#957;">
+<!ENTITY Oacute "&#211;">
+<!ENTITY oacute "&#243;">
+<!ENTITY Ocirc "&#212;">
+<!ENTITY ocirc "&#244;">
+<!ENTITY OElig "&#338;">
+<!ENTITY oelig "&#339;">
+<!ENTITY Ograve "&#210;">
+<!ENTITY ograve "&#242;">
+<!ENTITY oline "&#8254;">
+<!ENTITY Omega "&#937;">
+<!ENTITY omega "&#969;">
+<!ENTITY Omicron "&#927;">
+<!ENTITY omicron "&#959;">
+<!ENTITY oplus "&#8853;">
+<!ENTITY or "&#8870;">
+<!ENTITY ordf "&#170;">
+<!ENTITY ordm "&#186;">
+<!ENTITY Oslash "&#216;">
+<!ENTITY oslash "&#248;">
+<!ENTITY Otilde "&#213;">
+<!ENTITY otilde "&#245;">
+<!ENTITY otimes "&#8855;">
+<!ENTITY Ouml "&#214;">
+<!ENTITY ouml "&#246;">
+<!ENTITY para "&#182;">
+<!ENTITY part "&#8706;">
+<!ENTITY permil "&#8240;">
+<!ENTITY perp "&#8869;">
+<!ENTITY Phi "&#934;">
+<!ENTITY phi "&#966;">
+<!ENTITY Pi "&#928;">
+<!ENTITY pi "&#960;">
+<!ENTITY piv "&#982;">
+<!ENTITY plusmn "&#177;">
+<!ENTITY pound "&#163;">
+<!ENTITY prime "&#8242;">
+<!ENTITY Prime "&#8243;">
+<!ENTITY prod "&#8719;">
+<!ENTITY prop "&#8733;">
+<!ENTITY Psi "&#936;">
+<!ENTITY psi "&#968;">
+<!ENTITY quot "&#34;">
+<!ENTITY radic "&#8730;">
+<!ENTITY rang "&#9002;">
+<!ENTITY raquo "&#187;">
+<!ENTITY rarr "&#8594;">
+<!ENTITY rArr "&#8658;">
+<!ENTITY rceil "&#8969;">
+<!ENTITY rdquo "&#8221;">
+<!ENTITY real "&#8476;">
+<!ENTITY reg "&#174;">
+<!ENTITY rfloor "&#8971;">
+<!ENTITY Rho "&#929;">
+<!ENTITY rho "&#961;">
+<!ENTITY rlm "&#8207;">
+<!ENTITY rsaquo "&#8250;">
+<!ENTITY rsquo "&#8217;">
+<!ENTITY sbquo "&#8218;">
+<!ENTITY Scaron "&#352;">
+<!ENTITY scaron "&#353;">
+<!ENTITY sdot "&#8901;">
+<!ENTITY sect "&#167;">
+<!ENTITY shy "&#173;">
+<!ENTITY Sigma "&#931;">
+<!ENTITY sigma "&#963;">
+<!ENTITY sigmaf "&#962;">
+<!ENTITY sim "&#8764;">
+<!ENTITY spades "&#9824;">
+<!ENTITY sub "&#8834;">
+<!ENTITY sube "&#8838;">
+<!ENTITY sum "&#8721;">
+<!ENTITY sup "&#8835;">
+<!ENTITY sup1 "&#185;">
+<!ENTITY sup2 "&#178;">
+<!ENTITY sup3 "&#179;">
+<!ENTITY supe "&#8839;">
+<!ENTITY szlig "&#223;">
+<!ENTITY Tau "&#932;">
+<!ENTITY tau "&#964;">
+<!ENTITY there4 "&#8756;">
+<!ENTITY Theta "&#920;">
+<!ENTITY theta "&#952;">
+<!ENTITY thetasym "&#977;">
+<!ENTITY thinsp "&#8201;">
+<!ENTITY THORN "&#222;">
+<!ENTITY thorn "&#254;">
+<!ENTITY tilde "&#732;">
+<!ENTITY times "&#215;">
+<!ENTITY trade "&#8482;">
+<!ENTITY Uacute "&#218;">
+<!ENTITY uacute "&#250;">
+<!ENTITY uarr "&#8593;">
+<!ENTITY uArr "&#8657;">
+<!ENTITY Ucirc "&#219;">
+<!ENTITY ucirc "&#251;">
+<!ENTITY Ugrave "&#217;">
+<!ENTITY ugrave "&#249;">
+<!ENTITY uml "&#168;">
+<!ENTITY upsih "&#978;">
+<!ENTITY Upsilon "&#933;">
+<!ENTITY upsilon "&#965;">
+<!ENTITY Uuml "&#220;">
+<!ENTITY uuml "&#252;">
+<!ENTITY weierp "&#8472;">
+<!ENTITY Xi "&#926;">
+<!ENTITY xi "&#958;">
+<!ENTITY Yacute "&#221;">
+<!ENTITY yacute "&#253;">
+<!ENTITY yen "&#165;">
+<!ENTITY Yuml "&#376;">
+<!ENTITY yuml "&#255;">
+<!ENTITY Zeta "&#918;">
+<!ENTITY zeta "&#950;">
+<!ENTITY zwj "&#8205;">
+<!ENTITY zwnj "&#8204;">`.replace(/\n/g, ' ');
+
+  /**
+   * A reasonably strict xml declaration.
+   */
+  const XML_DECL = '<?xml version="1.0" standalone="no"?>';
+
+  /**
+   * The beginning of the XML doctype declaration.
+   */
+  const DOCTYPE_START = `<!DOCTYPE svg PUBLIC "-//W3C//DTD SVG 1.1//EN" "http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd" [`;
+
+  /**
+   * The end of the XML docype declaration.
+   */
+  const DOCTYPE_END = ']>';
+
+  /**
+   * A full header for an SVG XML document.
+   */
+  const SVG_XML_HEADER = `${XML_DECL}
+    ${DOCTYPE_START}${HTML_ENTITIES}${DOCTYPE_END}`;
+
+    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="01---MNIST-Data-Loading-&amp;-DuckDB-Storage">01 - MNIST Data Loading &amp; DuckDB Storage<a class="anchor-link" href="#01---MNIST-Data-Loading-&amp;-DuckDB-Storage">¶</a></h1><p>This notebook:</p>
+<ol>
+<li>Reads raw MNIST IDX binary files</li>
+<li>Stores them in DuckDB for fast SQL-based exploration</li>
+<li>Visualizes sample digits</li>
+</ol>
+</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 [1]:</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="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">duckdb</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">struct</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">pathlib</span><span class="w"> </span><span class="kn">import</span> <span class="n">Path</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">
+<h2 id="Load-MNIST-IDX-Files">Load MNIST IDX Files<a class="anchor-link" href="#Load-MNIST-IDX-Files">¶</a></h2><p>The IDX format stores images as raw bytes with a header containing dimensions.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [2]:</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="k">def</span><span class="w"> </span><span class="nf">read_idx_images</span><span class="p">(</span><span class="n">path</span><span class="p">):</span>
+    <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="s1">'rb'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+        <span class="n">magic</span><span class="p">,</span> <span class="n">n</span><span class="p">,</span> <span class="n">rows</span><span class="p">,</span> <span class="n">cols</span> <span class="o">=</span> <span class="n">struct</span><span class="o">.</span><span class="n">unpack</span><span class="p">(</span><span class="s1">'&gt;IIII'</span><span class="p">,</span> <span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="mi">16</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">frombuffer</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">(),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="n">n</span><span class="p">,</span> <span class="n">rows</span> <span class="o">*</span> <span class="n">cols</span><span class="p">)</span>
+
+<span class="k">def</span><span class="w"> </span><span class="nf">read_idx_labels</span><span class="p">(</span><span class="n">path</span><span class="p">):</span>
+    <span class="k">with</span> <span class="nb">open</span><span class="p">(</span><span class="n">path</span><span class="p">,</span> <span class="s1">'rb'</span><span class="p">)</span> <span class="k">as</span> <span class="n">f</span><span class="p">:</span>
+        <span class="n">magic</span><span class="p">,</span> <span class="n">n</span> <span class="o">=</span> <span class="n">struct</span><span class="o">.</span><span class="n">unpack</span><span class="p">(</span><span class="s1">'&gt;II'</span><span class="p">,</span> <span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">(</span><span class="mi">8</span><span class="p">))</span>
+        <span class="k">return</span> <span class="n">np</span><span class="o">.</span><span class="n">frombuffer</span><span class="p">(</span><span class="n">f</span><span class="o">.</span><span class="n">read</span><span class="p">(),</span> <span class="n">dtype</span><span class="o">=</span><span class="n">np</span><span class="o">.</span><span class="n">uint8</span><span class="p">)</span>
+
+<span class="n">data_dir</span> <span class="o">=</span> <span class="n">Path</span><span class="p">(</span><span class="s1">'../data'</span><span class="p">)</span>
+<span class="n">train_images</span> <span class="o">=</span> <span class="n">read_idx_images</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">/</span> <span class="s1">'train-images.idx3-ubyte'</span><span class="p">)</span>
+<span class="n">train_labels</span> <span class="o">=</span> <span class="n">read_idx_labels</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">/</span> <span class="s1">'train-labels.idx1-ubyte'</span><span class="p">)</span>
+<span class="n">test_images</span> <span class="o">=</span> <span class="n">read_idx_images</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">/</span> <span class="s1">'t10k-images.idx3-ubyte'</span><span class="p">)</span>
+<span class="n">test_labels</span> <span class="o">=</span> <span class="n">read_idx_labels</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">/</span> <span class="s1">'t10k-labels.idx1-ubyte'</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Train: </span><span class="si">{</span><span class="n">train_images</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s1"> images, </span><span class="si">{</span><span class="n">train_images</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">1</span><span class="p">]</span><span class="si">}</span><span class="s1"> pixels each'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Test:  </span><span class="si">{</span><span class="n">test_images</span><span class="o">.</span><span class="n">shape</span><span class="p">[</span><span class="mi">0</span><span class="p">]</span><span class="si">}</span><span class="s1"> images'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Train: 60000 images, 784 pixels each
+Test:  10000 images
+</pre>
+</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">
+<h2 id="Store-in-DuckDB">Store in DuckDB<a class="anchor-link" href="#Store-in-DuckDB">¶</a></h2><p>We store pixel data as a flat array (784 columns for 28x28) plus the label. This lets us query and filter with SQL.</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [3]:</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">db_path</span> <span class="o">=</span> <span class="nb">str</span><span class="p">(</span><span class="n">data_dir</span> <span class="o">/</span> <span class="s1">'mnist.duckdb'</span><span class="p">)</span>
+<span class="n">con</span> <span class="o">=</span> <span class="n">duckdb</span><span class="o">.</span><span class="n">connect</span><span class="p">(</span><span class="n">db_path</span><span class="p">)</span>
+
+<span class="c1"># Create train table</span>
+<span class="n">train_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">train_images</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="sa">f</span><span class="s1">'px</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1">'</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">784</span><span class="p">)])</span>
+<span class="n">train_df</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span> <span class="o">=</span> <span class="n">train_labels</span>
+<span class="n">train_df</span><span class="p">[</span><span class="s1">'split'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'train'</span>
+
+<span class="c1"># Create test table</span>
+<span class="n">test_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">test_images</span><span class="p">,</span> <span class="n">columns</span><span class="o">=</span><span class="p">[</span><span class="sa">f</span><span class="s1">'px</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1">'</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">784</span><span class="p">)])</span>
+<span class="n">test_df</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span> <span class="o">=</span> <span class="n">test_labels</span>
+<span class="n">test_df</span><span class="p">[</span><span class="s1">'split'</span><span class="p">]</span> <span class="o">=</span> <span class="s1">'test'</span>
+
+<span class="c1"># Combine and write</span>
+<span class="n">all_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">concat</span><span class="p">([</span><span class="n">train_df</span><span class="p">,</span> <span class="n">test_df</span><span class="p">],</span> <span class="n">ignore_index</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">con</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s1">'DROP TABLE IF EXISTS mnist'</span><span class="p">)</span>
+<span class="n">con</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s1">'CREATE TABLE mnist AS SELECT * FROM all_df'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Stored </span><span class="si">{</span><span class="nb">len</span><span class="p">(</span><span class="n">all_df</span><span class="p">)</span><span class="si">}</span><span class="s1"> records in DuckDB'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Stored 70000 records in DuckDB
+</pre>
+</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">
+<h2 id="Explore-with-SQL">Explore with SQL<a class="anchor-link" href="#Explore-with-SQL">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [4]:</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"># Label distribution</span>
+<span class="n">con</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s2">"""</span>
+<span class="s2">    SELECT label, split, COUNT(*) as count</span>
+<span class="s2">    FROM mnist</span>
+<span class="s2">    GROUP BY label, split</span>
+<span class="s2">    ORDER BY label, split</span>
+<span class="s2">"""</span><span class="p">)</span><span class="o">.</span><span class="n">df</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[4]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>label</th>
+<th>split</th>
+<th>count</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>0</td>
+<td>test</td>
+<td>980</td>
+</tr>
+<tr>
+<th>1</th>
+<td>0</td>
+<td>train</td>
+<td>5923</td>
+</tr>
+<tr>
+<th>2</th>
+<td>1</td>
+<td>test</td>
+<td>1135</td>
+</tr>
+<tr>
+<th>3</th>
+<td>1</td>
+<td>train</td>
+<td>6742</td>
+</tr>
+<tr>
+<th>4</th>
+<td>2</td>
+<td>test</td>
+<td>1032</td>
+</tr>
+<tr>
+<th>5</th>
+<td>2</td>
+<td>train</td>
+<td>5958</td>
+</tr>
+<tr>
+<th>6</th>
+<td>3</td>
+<td>test</td>
+<td>1010</td>
+</tr>
+<tr>
+<th>7</th>
+<td>3</td>
+<td>train</td>
+<td>6131</td>
+</tr>
+<tr>
+<th>8</th>
+<td>4</td>
+<td>test</td>
+<td>982</td>
+</tr>
+<tr>
+<th>9</th>
+<td>4</td>
+<td>train</td>
+<td>5842</td>
+</tr>
+<tr>
+<th>10</th>
+<td>5</td>
+<td>test</td>
+<td>892</td>
+</tr>
+<tr>
+<th>11</th>
+<td>5</td>
+<td>train</td>
+<td>5421</td>
+</tr>
+<tr>
+<th>12</th>
+<td>6</td>
+<td>test</td>
+<td>958</td>
+</tr>
+<tr>
+<th>13</th>
+<td>6</td>
+<td>train</td>
+<td>5918</td>
+</tr>
+<tr>
+<th>14</th>
+<td>7</td>
+<td>test</td>
+<td>1028</td>
+</tr>
+<tr>
+<th>15</th>
+<td>7</td>
+<td>train</td>
+<td>6265</td>
+</tr>
+<tr>
+<th>16</th>
+<td>8</td>
+<td>test</td>
+<td>974</td>
+</tr>
+<tr>
+<th>17</th>
+<td>8</td>
+<td>train</td>
+<td>5851</td>
+</tr>
+<tr>
+<th>18</th>
+<td>9</td>
+<td>test</td>
+<td>1009</td>
+</tr>
+<tr>
+<th>19</th>
+<td>9</td>
+<td>train</td>
+<td>5949</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [6]:</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"># Average pixel intensity per digit</span>
+<span class="n">con</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s2">"""</span>
+<span class="s2">    SELECT label,</span>
+<span class="s2">           ROUND(AVG(px196::INT + px197::INT + px224::INT + px225::INT), 1) as center_intensity</span>
+<span class="s2">    FROM mnist WHERE split='train'</span>
+<span class="s2">    GROUP BY label ORDER BY label</span>
+<span class="s2">"""</span><span class="p">)</span><span class="o">.</span><span class="n">df</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child jp-OutputArea-executeResult">
+<div class="jp-OutputPrompt jp-OutputArea-prompt">Out[6]:</div>
+<div class="jp-RenderedHTMLCommon jp-RenderedHTML jp-OutputArea-output jp-OutputArea-executeResult" data-mime-type="text/html" tabindex="0">
+<div>
+<style scoped="">
+    .dataframe tbody tr th:only-of-type {
+        vertical-align: middle;
+    }
+
+    .dataframe tbody tr th {
+        vertical-align: top;
+    }
+
+    .dataframe thead th {
+        text-align: right;
+    }
+</style>
+<table border="1" class="dataframe">
+<thead>
+<tr style="text-align: right;">
+<th></th>
+<th>label</th>
+<th>center_intensity</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<th>0</th>
+<td>0</td>
+<td>0.0</td>
+</tr>
+<tr>
+<th>1</th>
+<td>1</td>
+<td>0.0</td>
+</tr>
+<tr>
+<th>2</th>
+<td>2</td>
+<td>0.0</td>
+</tr>
+<tr>
+<th>3</th>
+<td>3</td>
+<td>0.1</td>
+</tr>
+<tr>
+<th>4</th>
+<td>4</td>
+<td>0.0</td>
+</tr>
+<tr>
+<th>5</th>
+<td>5</td>
+<td>0.0</td>
+</tr>
+<tr>
+<th>6</th>
+<td>6</td>
+<td>0.0</td>
+</tr>
+<tr>
+<th>7</th>
+<td>7</td>
+<td>0.6</td>
+</tr>
+<tr>
+<th>8</th>
+<td>8</td>
+<td>0.0</td>
+</tr>
+<tr>
+<th>9</th>
+<td>9</td>
+<td>0.0</td>
+</tr>
+</tbody>
+</table>
+</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">
+<h2 id="Visualize-Sample-Digits">Visualize Sample Digits<a class="anchor-link" href="#Visualize-Sample-Digits">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [7]:</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">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">5</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">10</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
+<span class="k">for</span> <span class="n">digit</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">):</span>
+    <span class="n">row</span> <span class="o">=</span> <span class="n">con</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="sa">f</span><span class="s2">"SELECT * FROM mnist WHERE label=</span><span class="si">{</span><span class="n">digit</span><span class="si">}</span><span class="s2"> AND split='train' LIMIT 1"</span><span class="p">)</span><span class="o">.</span><span class="n">fetchone</span><span class="p">()</span>
+    <span class="n">pixels</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">row</span><span class="p">[:</span><span class="mi">784</span><span class="p">])</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="mi">28</span><span class="p">,</span> <span class="mi">28</span><span class="p">)</span>
+    <span class="n">ax</span> <span class="o">=</span> <span class="n">axes</span><span class="p">[</span><span class="n">digit</span> <span class="o">//</span> <span class="mi">5</span><span class="p">,</span> <span class="n">digit</span> <span class="o">%</span> <span class="mi">5</span><span class="p">]</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">pixels</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gray'</span><span class="p">)</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Label: </span><span class="si">{</span><span class="n">digit</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">'off'</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">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [8]:</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"># Pixel intensity heatmap averaged across all training images</span>
+<span class="n">avg_pixels</span> <span class="o">=</span> <span class="n">con</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s2">"""</span>
+<span class="s2">    SELECT </span><span class="si">{}</span><span class="s2"> FROM mnist WHERE split='train'</span>
+<span class="s2">"""</span><span class="o">.</span><span class="n">format</span><span class="p">(</span><span class="s1">', '</span><span class="o">.</span><span class="n">join</span><span class="p">(</span><span class="sa">f</span><span class="s1">'AVG(px</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1">) as px</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1">'</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">784</span><span class="p">))))</span><span class="o">.</span><span class="n">fetchone</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">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">5</span><span class="p">,</span> <span class="mi">5</span><span class="p">))</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">array</span><span class="p">(</span><span class="n">avg_pixels</span><span class="p">)</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="mi">28</span><span class="p">,</span> <span class="mi">28</span><span class="p">),</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'hot'</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">'Average pixel intensity (all digits)'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">colorbar</span><span class="p">()</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [9]:</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">con</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+<span class="nb">print</span><span class="p">(</span><span class="s1">'DuckDB connection closed. Database saved at:'</span><span class="p">,</span> <span class="n">db_path</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>DuckDB connection closed. Database saved at: ..\data\mnist.duckdb
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div>
+</main>
+</body>
+</html>
diff --git a/docs/HTML/02_model_training.html b/docs/HTML/02_model_training.html
new file mode 100644
index 0000000..c6dc63f
--- /dev/null
+++ b/docs/HTML/02_model_training.html
@@ -0,0 +1,8459 @@
+<!DOCTYPE html>
+
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+<head><meta charset="utf-8"/>
+<meta content="width=device-width, initial-scale=1.0" name="viewport"/>
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+  flex: 1 1 auto;
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+  position: absolute;
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+| 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,PHN2ZyB3aWR0aD0iMjQiIGhlaWdodD0iMjQiIHZpZXdCb3g9IjAgMCAyNCAyNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiPgogICAgICAgIDxwYXRoIGZpbGwtcnVsZT0iZXZlbm9kZCIgY2xpcC1ydWxlPSJldmVub2RkIiBkPSJNMTcuMTkgOEgyMFYxMEgxNy45MUMxNy45NiAxMC4zMyAxOCAxMC42NiAxOCAxMVYxMkgyMFYxNEgxOC41SDE4VjE0LjAyNzVDMTUuNzUgMTQuMjc2MiAxNCAxNi4xODM3IDE0IDE4LjVDMTQgMTkuMjA4IDE0LjE2MzUgMTkuODc3OSAxNC40NTQ5IDIwLjQ3MzlDMTMuNzA2MyAyMC44MTE3IDEyLjg3NTcgMjEgMTIgMjFDOS43OCAyMSA3Ljg1IDE5Ljc5IDYuODEgMThINFYxNkg2LjA5QzYuMDQgMTUuNjcgNiAxNS4zNCA2IDE1VjE0SDRWMTJINlYxMUM2IDEwLjY2IDYuMDQgMTAuMzMgNi4wOSAxMEg0VjhINi44MUM3LjI2IDcuMjIgNy44OCA2LjU1IDguNjIgNi4wNEw3IDQuNDFMOC40MSAzTDEwLjU5IDUuMTdDMTEuMDQgNS4wNiAxMS41MSA1IDEyIDVDMTIuNDkgNSAxMi45NiA1LjA2IDEzLjQyIDUuMTdMMTUuNTkgM0wxNyA0LjQxTDE1LjM3IDYuMDRDMTYuMTIgNi41NSAxNi43NCA3LjIyIDE3LjE5IDhaTTEwIDE2SDE0VjE0SDEwVjE2Wk0xMCAxMkgxNFYxMEgxMFYxMloiIGZpbGw9IiM2MTYxNjEiLz4KICAgICAgICA8cGF0aCBkPSJNMjIgMTguNUMyMiAyMC40MzMgMjAuNDMzIDIyIDE4LjUgMjJDMTYuNTY3IDIyIDE1IDIwLjQzMyAxNSAxOC41QzE1IDE2LjU2NyAxNi41NjcgMTUgMTguNSAxNUMyMC40MzMgMTUgMjIgMTYuNTY3IDIyIDE4LjVaIiBmaWxsPSIjNjE2MTYxIi8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --jp-icon-bug: url(data:image/svg+xml;base64,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);
+  --jp-icon-build: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMTYiIHZpZXdCb3g9IjAgMCAyNCAyNCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPHBhdGggZD0iTTE0LjkgMTcuNDVDMTYuMjUgMTcuNDUgMTcuMzUgMTYuMzUgMTcuMzUgMTVDMTcuMzUgMTMuNjUgMTYuMjUgMTIuNTUgMTQuOSAxMi41NUMxMy41NCAxMi41NSAxMi40NSAxMy42NSAxMi40NSAxNUMxMi40NSAxNi4zNSAxMy41NCAxNy40NSAxNC45IDE3LjQ1Wk0yMC4xIDE1LjY4TDIxLjU4IDE2Ljg0QzIxLjcxIDE2Ljk1IDIxLjc1IDE3LjEzIDIxLjY2IDE3LjI5TDIwLjI2IDE5LjcxQzIwLjE3IDE5Ljg2IDIwIDE5LjkyIDE5LjgzIDE5Ljg2TDE4LjA5IDE5LjE2QzE3LjczIDE5LjQ0IDE3LjMzIDE5LjY3IDE2LjkxIDE5Ljg1TDE2LjY0IDIxLjdDMTYuNjIgMjEuODcgMTYuNDcgMjIgMTYuMyAyMkgxMy41QzEzLjMyIDIyIDEzLjE4IDIxLjg3IDEzLjE1IDIxLjdMMTIuODkgMTkuODVDMTIuNDYgMTkuNjcgMTIuMDcgMTkuNDQgMTEuNzEgMTkuMTZMOS45NjAwMiAxOS44NkM5LjgxMDAyIDE5LjkyIDkuNjIwMDIgMTkuODYgOS41NDAwMiAxOS43MUw4LjE0MDAyIDE3LjI5QzguMDUwMDIgMTcuMTMgOC4wOTAwMiAxNi45NSA4LjIyMDAyIDE2Ljg0TDkuNzAwMDIgMTUuNjhMOS42NTAwMSAxNUw5LjcwMDAyIDE0LjMxTDguMjIwMDIgMTMuMTZDOC4wOTAwMiAxMy4wNSA4LjA1MDAyIDEyLjg2IDguMTQwMDIgMTIuNzFMOS41NDAwMiAxMC4yOUM5LjYyMDAyIDEwLjEzIDkuODEwMDIgMTAuMDcgOS45NjAwMiAxMC4xM0wxMS43MSAxMC44NEMxMi4wNyAxMC41NiAxMi40NiAxMC4zMiAxMi44OSAxMC4xNUwxMy4xNSA4LjI4OTk4QzEzLjE4IDguMTI5OTggMTMuMzIgNy45OTk5OCAxMy41IDcuOTk5OThIMTYuM0MxNi40NyA3Ljk5OTk4IDE2LjYyIDguMTI5OTggMTYuNjQgOC4yODk5OEwxNi45MSAxMC4xNUMxNy4zMyAxMC4zMiAxNy43MyAxMC41NiAxOC4wOSAxMC44NEwxOS44MyAxMC4xM0MyMCAxMC4wNyAyMC4xNyAxMC4xMyAyMC4yNiAxMC4yOUwyMS42NiAxMi43MUMyMS43NSAxMi44NiAyMS43MSAxMy4wNSAyMS41OCAxMy4xNkwyMC4xIDE0LjMxTDIwLjE1IDE1TDIwLjEgMTUuNjhaIi8+CiAgICA8cGF0aCBkPSJNNy4zMjk2NiA3LjQ0NDU0QzguMDgzMSA3LjAwOTU0IDguMzM5MzIgNi4wNTMzMiA3LjkwNDMyIDUuMjk5ODhDNy40NjkzMiA0LjU0NjQzIDYuNTA4MSA0LjI4MTU2IDUuNzU0NjYgNC43MTY1NkM1LjM5MTc2IDQuOTI2MDggNS4xMjY5NSA1LjI3MTE4IDUuMDE4NDkgNS42NzU5NEM0LjkxMDA0IDYuMDgwNzEgNC45NjY4MiA2LjUxMTk4IDUuMTc2MzQgNi44NzQ4OEM1LjYxMTM0IDcuNjI4MzIgNi41NzYyMiA3Ljg3OTU0IDcuMzI5NjYgNy40NDQ1NFpNOS42NTcxOCA0Ljc5NTkzTDEwLjg2NzIgNC45NTE3OUMxMC45NjI4IDQuOTc3NDEgMTEuMDQwMiA1LjA3MTMzIDExLjAzODIgNS4xODc5M0wxMS4wMzg4IDYuOTg4OTNDMTEuMDQ1NSA3LjEwMDU0IDEwLjk2MTYgNy4xOTUxOCAxMC44NTUgNy4yMTA1NEw5LjY2MDAxIDcuMzgwODNMOS4yMzkxNSA4LjEzMTg4TDkuNjY5NjEgOS4yNTc0NUM5LjcwNzI5IDkuMzYyNzEgOS42NjkzNCA5LjQ3Njk5IDkuNTc0MDggOS41MzE5OUw4LjAxNTIzIDEwLjQzMkM3LjkxMTMxIDEwLjQ5MiA3Ljc5MzM3IDEwLjQ2NzcgNy43MjEwNSAxMC4zODI0TDYuOTg3NDggOS40MzE4OEw2LjEwOTMxIDkuNDMwODNMNS4zNDcwNCAxMC4zOTA1QzUuMjg5MDkgMTAuNDcwMiA1LjE3MzgzIDEwLjQ5MDUgNS4wNzE4NyAxMC40MzM5TDMuNTEyNDUgOS41MzI5M0MzLjQxMDQ5IDkuNDc2MzMgMy4zNzY0NyA5LjM1NzQxIDMuNDEwNzUgOS4yNTY3OUwzLjg2MzQ3IDguMTQwOTNMMy42MTc0OSA3Ljc3NDg4TDMuNDIzNDcgNy4zNzg4M0wyLjIzMDc1IDcuMjEyOTdDMi4xMjY0NyA3LjE5MjM1IDIuMDQwNDkgNy4xMDM0MiAyLjA0MjQ1IDYuOTg2ODJMMi4wNDE4NyA1LjE4NTgyQzIuMDQzODMgNS4wNjkyMiAyLjExOTA5IDQuOTc5NTggMi4yMTcwNCA0Ljk2OTIyTDMuNDIwNjUgNC43OTM5M0wzLjg2NzQ5IDQuMDI3ODhMMy40MTEwNSAyLjkxNzMxQzMuMzczMzcgMi44MTIwNCAzLjQxMTMxIDIuNjk3NzYgMy41MTUyMyAyLjYzNzc2TDUuMDc0MDggMS43Mzc3NkM1LjE2OTM0IDEuNjgyNzYgNS4yODcyOSAxLjcwNzA0IDUuMzU5NjEgMS43OTIzMUw2LjExOTE1IDIuNzI3ODhMNi45ODAwMSAyLjczODkzTDcuNzI0OTYgMS43ODkyMkM3Ljc5MTU2IDEuNzA0NTggNy45MTU0OCAxLjY3OTIyIDguMDA4NzkgMS43NDA4Mkw5LjU2ODIxIDIuNjQxODJDOS42NzAxNyAyLjY5ODQyIDkuNzEyODUgMi44MTIzNCA5LjY4NzIzIDIuOTA3OTdMOS4yMTcxOCA0LjAzMzgzTDkuNDYzMTYgNC4zOTk4OEw5LjY1NzE4IDQuNzk1OTNaIi8+CiAgPC9nPgo8L3N2Zz4K);
+  --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,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);
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+  --jp-icon-circle: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMTggMTgiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iOSIgY3k9IjkiIHI9IjgiLz4KICA8L2c+Cjwvc3ZnPgo=);
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+  --jp-icon-code-check: url(data:image/svg+xml;base64,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);
+  --jp-icon-code: url(data:image/svg+xml;base64,PHN2ZyB3aWR0aD0iMjIiIGhlaWdodD0iMjIiIHZpZXdCb3g9IjAgMCAyOCAyOCIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KCTxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CgkJPHBhdGggZD0iTTExLjQgMTguNkw2LjggMTRMMTEuNCA5LjRMMTAgOEw0IDE0TDEwIDIwTDExLjQgMTguNlpNMTYuNiAxOC42TDIxLjIgMTRMMTYuNiA5LjRMMTggOEwyNCAxNEwxOCAyMEwxNi42IDE4LjZWMTguNloiLz4KCTwvZz4KPC9zdmc+Cg==);
+  --jp-icon-collapse-all: url(data:image/svg+xml;base64,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);
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+  --jp-icon-ellipses: url(data:image/svg+xml;base64,PHN2ZyB2aWV3Qm94PSIwIDAgMjQgMjQiIHdpZHRoPSIxNiIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiM2MTYxNjEiPgogICAgPGNpcmNsZSBjeD0iNSIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxMiIgY3k9IjEyIiByPSIyIi8+CiAgICA8Y2lyY2xlIGN4PSIxOSIgY3k9IjEyIiByPSIyIi8+CiAgPC9nPgo8L3N2Zz4K);
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+  --jp-icon-expand-all: url(data:image/svg+xml;base64,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);
+  --jp-icon-extension: url(data:image/svg+xml;base64,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);
+  --jp-icon-fast-forward: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIyNCIgaGVpZ2h0PSIyNCIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxnIGNsYXNzPSJqcC1pY29uMyIgZmlsbD0iIzYxNjE2MSI+CiAgICAgICAgPHBhdGggZD0iTTQgMThsOC41LTZMNCA2djEyem05LTEydjEybDguNS02TDEzIDZ6Ii8+CiAgICA8L2c+Cjwvc3ZnPgo=);
+  --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,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8ZyBjbGFzcz0ianAtaWNvbjMiIGZpbGw9IiNGRkYiPgogICAgPHBhdGggZD0iTTE0LDEyVjE5Ljg4QzE0LjA0LDIwLjE4IDEzLjk0LDIwLjUgMTMuNzEsMjAuNzFDMTMuMzIsMjEuMSAxMi42OSwyMS4xIDEyLjMsMjAuNzFMMTAuMjksMTguN0MxMC4wNiwxOC40NyA5Ljk2LDE4LjE2IDEwLDE3Ljg3VjEySDkuOTdMNC4yMSw0LjYyQzMuODcsNC4xOSAzLjk1LDMuNTYgNC4zOCwzLjIyQzQuNTcsMy4wOCA0Ljc4LDMgNSwzVjNIMTlWM0MxOS4yMiwzIDE5LjQzLDMuMDggMTkuNjIsMy4yMkMyMC4wNSwzLjU2IDIwLjEzLDQuMTkgMTkuNzksNC42MkwxNC4wMywxMkgxNFoiIC8+CiAgPC9nPgogIDxnIGNsYXNzPSJqcC1pY29uLWRvdCIgZmlsbD0iI0ZGRiI+CiAgICA8Y2lyY2xlIGN4PSIxOCIgY3k9IjE3IiByPSIzIj48L2NpcmNsZT4KICA8L2c+Cjwvc3ZnPgo=);
+  --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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);
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+  --jp-icon-home: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIGhlaWdodD0iMjRweCIgdmlld0JveD0iMCAwIDI0IDI0IiB3aWR0aD0iMjRweCIgZmlsbD0iIzAwMDAwMCI+CiAgPHBhdGggZD0iTTAgMGgyNHYyNEgweiIgZmlsbD0ibm9uZSIvPjxwYXRoIGNsYXNzPSJqcC1pY29uMyBqcC1pY29uLXNlbGVjdGFibGUiIGZpbGw9IiM2MTYxNjEiIGQ9Ik0xMCAyMHYtNmg0djZoNXYtOGgzTDEyIDMgMiAxMmgzdjh6Ii8+Cjwvc3ZnPgo=);
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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);
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+  --jp-icon-kernel: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICAgIDxwYXRoIGNsYXNzPSJqcC1pY29uMiIgZmlsbD0iIzYxNjE2MSIgZD0iTTE1IDlIOXY2aDZWOXptLTIgNGgtMnYtMmgydjJ6bTgtMlY5aC0yVjdjMC0xLjEtLjktMi0yLTJoLTJWM2gtMnYyaC0yVjNIOXYySDdjLTEuMSAwLTIgLjktMiAydjJIM3YyaDJ2MkgzdjJoMnYyYzAgMS4xLjkgMiAyIDJoMnYyaDJ2LTJoMnYyaDJ2LTJoMmMxLjEgMCAyLS45IDItMnYtMmgydi0yaC0ydi0yaDJ6bS00IDZIN1Y3aDEwdjEweiIvPgo8L3N2Zz4K);
+  --jp-icon-keyboard: url(data:image/svg+xml;base64,PHN2ZyB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciIHdpZHRoPSIxNiIgdmlld0JveD0iMCAwIDI0IDI0Ij4KICA8cGF0aCBjbGFzcz0ianAtaWNvbjMganAtaWNvbi1zZWxlY3RhYmxlIiBmaWxsPSIjNjE2MTYxIiBkPSJNMjAgNUg0Yy0xLjEgMC0xLjk5LjktMS45OSAyTDIgMTdjMCAxLjEuOSAyIDIgMmgxNmMxLjEgMCAyLS45IDItMlY3YzAtMS4xLS45LTItMi0yem0tOSAzaDJ2MmgtMlY4em0wIDNoMnYyaC0ydi0yek04IDhoMnYySDhWOHptMCAzaDJ2Mkg4di0yem0tMSAySDV2LTJoMnYyem0wLTNINVY4aDJ2MnptOSA3SDh2LTJoOHYyem0wLTRoLTJ2LTJoMnYyem0wLTNoLTJWOGgydjJ6bTMgM2gtMnYtMmgydjJ6bTAtM2gtMlY4aDJ2MnoiLz4KPC9zdmc+Cg==);
+  --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,PHN2ZyB3aWR0aD0iMTQiIGhlaWdodD0iMTQiIHZpZXdCb3g9IjAgMCAxNCAxNCIgZmlsbD0ibm9uZSIgeG1sbnM9Imh0dHA6Ly93d3cudzMub3JnLzIwMDAvc3ZnIj4KPHBhdGggY2xhc3M9ImpwLWljb24zIiBkPSJNMTIuNDcxIDcuNTI4OTlDMTIuNzYzMiA3LjIzNjg0IDEyLjc2MzIgNi43NjMxNiAxMi40NzEgNi40NzEwMVY2LjQ3MTAxQzEyLjE3OSA2LjE3OTA1IDExLjcwNTcgNi4xNzg4NCAxMS40MTM1IDYuNDcwNTRMNy43NSAxMC4xMjc1VjEuNzVDNy43NSAxLjMzNTc5IDcuNDE0MjEgMSA3IDFWMUM2LjU4NTc5IDEgNi4yNSAxLjMzNTc5IDYuMjUgMS43NVYxMC4xMjc1TDIuNTk3MjYgNi40NjgyMkMyLjMwMzM4IDYuMTczODEgMS44MjY0MSA2LjE3MzU5IDEuNTMyMjYgNi40Njc3NFY2LjQ2Nzc0QzEuMjM4MyA2Ljc2MTcgMS4yMzgzIDcuMjM4MyAxLjUzMjI2IDcuNTMyMjZMNi4yOTI4OSAxMi4yOTI5QzYuNjgzNDIgMTIuNjgzNCA3LjMxNjU4IDEyLjY4MzQgNy43MDcxMSAxMi4yOTI5TDEyLjQ3MSA3LjUyODk5WiIgZmlsbD0iIzYxNjE2MSIvPgo8L3N2Zz4K);
+  --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;
+}
+
+.jp-RenderedText pre .ansi-yellow-fg {
+  color: #ddb62b;
+}
+
+.jp-RenderedText pre .ansi-blue-fg {
+  color: #208ffb;
+}
+
+.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',
+                messageStyle: 'none',
+                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/11.10.0/mermaid.esm.min.mjs")).default;
+    const elkUrl = "https://cdnjs.cloudflare.com/ajax/libs/mermaid-layout-elk/0.1.9/mermaid-layout-elk.esm.min.mjs";
+    if(elkUrl) {
+      const elkLayouts = (await import(elkUrl)).default;
+      mermaid.registerLayoutLoaders(elkLayouts);
+    }
+    const parser = new DOMParser();
+
+    mermaid.initialize({
+      maxTextSize: 100000,
+      maxEdges: 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");
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+     * a slash.
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+<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="02---MNIST-Model-Training-&amp;-Visualization">02 - MNIST Model Training &amp; Visualization<a class="anchor-link" href="#02---MNIST-Model-Training-&amp;-Visualization">¶</a></h1><p>This notebook trains a neural network on MNIST data loaded from DuckDB, then visualizes:</p>
+<ul>
+<li>Training loss &amp; accuracy curves</li>
+<li>Confusion matrix</li>
+<li>Per-digit accuracy</li>
+<li>Misclassified examples</li>
+</ul>
+<p><strong>Key ML Concepts Covered:</strong></p>
+<ul>
+<li>Neural network architecture (layers, activations)</li>
+<li>Forward/backward propagation</li>
+<li>Loss functions &amp; optimizers</li>
+<li>Batch training with DataLoaders</li>
+<li>Overfitting detection (train vs validation)</li>
+</ul>
+</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 [1]:</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="w"> </span><span class="nn">numpy</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">np</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">duckdb</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">torch.nn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">nn</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">torch.utils.data</span><span class="w"> </span><span class="kn">import</span> <span class="n">DataLoader</span><span class="p">,</span> <span class="n">TensorDataset</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">matplotlib.pyplot</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">plt</span>
+<span class="kn">import</span><span class="w"> </span><span class="nn">seaborn</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">sns</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">sklearn.metrics</span><span class="w"> </span><span class="kn">import</span> <span class="n">confusion_matrix</span><span class="p">,</span> <span class="n">classification_report</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">pathlib</span><span class="w"> </span><span class="kn">import</span> <span class="n">Path</span>
+<span class="kn">from</span><span class="w"> </span><span class="nn">tqdm.notebook</span><span class="w"> </span><span class="kn">import</span> <span class="n">tqdm</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">
+<h2 id="1.-Load-Data-from-DuckDB">1. Load Data from DuckDB<a class="anchor-link" href="#1.-Load-Data-from-DuckDB">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [2]:</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">con</span> <span class="o">=</span> <span class="n">duckdb</span><span class="o">.</span><span class="n">connect</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">Path</span><span class="p">(</span><span class="s1">'../data/mnist.duckdb'</span><span class="p">)),</span> <span class="n">read_only</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+
+<span class="n">train_data</span> <span class="o">=</span> <span class="n">con</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s2">"SELECT * FROM mnist WHERE split='train'"</span><span class="p">)</span><span class="o">.</span><span class="n">fetchnumpy</span><span class="p">()</span>
+<span class="n">test_data</span> <span class="o">=</span> <span class="n">con</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s2">"SELECT * FROM mnist WHERE split='test'"</span><span class="p">)</span><span class="o">.</span><span class="n">fetchnumpy</span><span class="p">()</span>
+<span class="n">con</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+
+<span class="c1"># Extract pixel columns and labels</span>
+<span class="n">px_cols</span> <span class="o">=</span> <span class="p">[</span><span class="sa">f</span><span class="s1">'px</span><span class="si">{</span><span class="n">i</span><span class="si">}</span><span class="s1">'</span> <span class="k">for</span> <span class="n">i</span> <span class="ow">in</span> <span class="nb">range</span><span class="p">(</span><span class="mi">784</span><span class="p">)]</span>
+<span class="n">X_train</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">column_stack</span><span class="p">([</span><span class="n">train_data</span><span class="p">[</span><span class="n">c</span><span class="p">]</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">px_cols</span><span class="p">])</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> <span class="o">/</span> <span class="mf">255.0</span>
+<span class="n">y_train</span> <span class="o">=</span> <span class="n">train_data</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">)</span>
+<span class="n">X_test</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">column_stack</span><span class="p">([</span><span class="n">test_data</span><span class="p">[</span><span class="n">c</span><span class="p">]</span> <span class="k">for</span> <span class="n">c</span> <span class="ow">in</span> <span class="n">px_cols</span><span class="p">])</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">float32</span><span class="p">)</span> <span class="o">/</span> <span class="mf">255.0</span>
+<span class="n">y_test</span> <span class="o">=</span> <span class="n">test_data</span><span class="p">[</span><span class="s1">'label'</span><span class="p">]</span><span class="o">.</span><span class="n">astype</span><span class="p">(</span><span class="n">np</span><span class="o">.</span><span class="n">int64</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Train: </span><span class="si">{</span><span class="n">X_train</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">, Test: </span><span class="si">{</span><span class="n">X_test</span><span class="o">.</span><span class="n">shape</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Train: (60000, 784), Test: (10000, 784)
+</pre>
+</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">
+<h2 id="2.-Create-PyTorch-DataLoaders">2. Create PyTorch DataLoaders<a class="anchor-link" href="#2.-Create-PyTorch-DataLoaders">¶</a></h2><p>DataLoaders handle batching and shuffling. Batch size is a key hyperparameter:</p>
+<ul>
+<li><strong>Smaller batches</strong> → noisier gradients, can help escape local minima</li>
+<li><strong>Larger batches</strong> → smoother gradients, faster training per epoch</li>
+</ul>
+</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 [3]:</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">BATCH_SIZE</span> <span class="o">=</span> <span class="mi">128</span>
+
+<span class="n">train_ds</span> <span class="o">=</span> <span class="n">TensorDataset</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">X_train</span><span class="p">),</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">y_train</span><span class="p">))</span>
+<span class="n">test_ds</span> <span class="o">=</span> <span class="n">TensorDataset</span><span class="p">(</span><span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">X_test</span><span class="p">),</span> <span class="n">torch</span><span class="o">.</span><span class="n">tensor</span><span class="p">(</span><span class="n">y_test</span><span class="p">))</span>
+
+<span class="n">train_loader</span> <span class="o">=</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">train_ds</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">BATCH_SIZE</span><span class="p">,</span> <span class="n">shuffle</span><span class="o">=</span><span class="kc">True</span><span class="p">)</span>
+<span class="n">test_loader</span> <span class="o">=</span> <span class="n">DataLoader</span><span class="p">(</span><span class="n">test_ds</span><span class="p">,</span> <span class="n">batch_size</span><span class="o">=</span><span class="n">BATCH_SIZE</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">
+<h2 id="3.-Define-the-Neural-Network">3. Define the Neural Network<a class="anchor-link" href="#3.-Define-the-Neural-Network">¶</a></h2><p>Architecture: 784 → 256 → 128 → 10</p>
+<p><strong>Key parameters to experiment with:</strong></p>
+<ul>
+<li>Hidden layer sizes (try 64, 128, 256, 512)</li>
+<li>Number of layers (try 1-4 hidden layers)</li>
+<li>Activation function (ReLU, Sigmoid, Tanh)</li>
+<li>Dropout rate (regularization to prevent overfitting)</li>
+</ul>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [4]:</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="k">class</span><span class="w"> </span><span class="nc">MNISTNet</span><span class="p">(</span><span class="n">nn</span><span class="o">.</span><span class="n">Module</span><span class="p">):</span>
+    <span class="k">def</span><span class="w"> </span><span class="fm">__init__</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">hidden1</span><span class="o">=</span><span class="mi">256</span><span class="p">,</span> <span class="n">hidden2</span><span class="o">=</span><span class="mi">128</span><span class="p">,</span> <span class="n">dropout</span><span class="o">=</span><span class="mf">0.2</span><span class="p">):</span>
+        <span class="nb">super</span><span class="p">()</span><span class="o">.</span><span class="fm">__init__</span><span class="p">()</span>
+        <span class="bp">self</span><span class="o">.</span><span class="n">net</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">Sequential</span><span class="p">(</span>
+            <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="mi">784</span><span class="p">,</span> <span class="n">hidden1</span><span class="p">),</span>
+            <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">(),</span>
+            <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">dropout</span><span class="p">),</span>
+            <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">hidden1</span><span class="p">,</span> <span class="n">hidden2</span><span class="p">),</span>
+            <span class="n">nn</span><span class="o">.</span><span class="n">ReLU</span><span class="p">(),</span>
+            <span class="n">nn</span><span class="o">.</span><span class="n">Dropout</span><span class="p">(</span><span class="n">dropout</span><span class="p">),</span>
+            <span class="n">nn</span><span class="o">.</span><span class="n">Linear</span><span class="p">(</span><span class="n">hidden2</span><span class="p">,</span> <span class="mi">10</span><span class="p">)</span>
+        <span class="p">)</span>
+
+    <span class="k">def</span><span class="w"> </span><span class="nf">forward</span><span class="p">(</span><span class="bp">self</span><span class="p">,</span> <span class="n">x</span><span class="p">):</span>
+        <span class="k">return</span> <span class="bp">self</span><span class="o">.</span><span class="n">net</span><span class="p">(</span><span class="n">x</span><span class="p">)</span>
+
+<span class="n">device</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">device</span><span class="p">(</span><span class="s1">'cuda'</span> <span class="k">if</span> <span class="n">torch</span><span class="o">.</span><span class="n">cuda</span><span class="o">.</span><span class="n">is_available</span><span class="p">()</span> <span class="k">else</span> <span class="s1">'cpu'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Using device: </span><span class="si">{</span><span class="n">device</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Using device: cpu
+</pre>
+</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">
+<h2 id="4.-Training-Loop">4. Training Loop<a class="anchor-link" href="#4.-Training-Loop">¶</a></h2><p><strong>Hyperparameters:</strong></p>
+<ul>
+<li><code>lr</code> (learning rate): How big each optimization step is. Too high → diverges. Too low → slow.</li>
+<li><code>epochs</code>: Number of full passes through the training data.</li>
+<li><code>optimizer</code>: Adam adapts learning rate per-parameter. SGD is simpler but needs tuning.</li>
+</ul>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [5]:</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"># === HYPERPARAMETERS (experiment with these!) ===</span>
+<span class="n">EPOCHS</span> <span class="o">=</span> <span class="mi">15</span>
+<span class="n">LEARNING_RATE</span> <span class="o">=</span> <span class="mf">1e-3</span>
+<span class="n">HIDDEN1</span> <span class="o">=</span> <span class="mi">256</span>
+<span class="n">HIDDEN2</span> <span class="o">=</span> <span class="mi">128</span>
+<span class="n">DROPOUT</span> <span class="o">=</span> <span class="mf">0.2</span>
+
+<span class="n">model</span> <span class="o">=</span> <span class="n">MNISTNet</span><span class="p">(</span><span class="n">HIDDEN1</span><span class="p">,</span> <span class="n">HIDDEN2</span><span class="p">,</span> <span class="n">DROPOUT</span><span class="p">)</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
+<span class="n">criterion</span> <span class="o">=</span> <span class="n">nn</span><span class="o">.</span><span class="n">CrossEntropyLoss</span><span class="p">()</span>
+<span class="n">optimizer</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">optim</span><span class="o">.</span><span class="n">Adam</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">(),</span> <span class="n">lr</span><span class="o">=</span><span class="n">LEARNING_RATE</span><span class="p">)</span>
+
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Model parameters: </span><span class="si">{</span><span class="nb">sum</span><span class="p">(</span><span class="n">p</span><span class="o">.</span><span class="n">numel</span><span class="p">()</span><span class="w"> </span><span class="k">for</span><span class="w"> </span><span class="n">p</span><span class="w"> </span><span class="ow">in</span><span class="w"> </span><span class="n">model</span><span class="o">.</span><span class="n">parameters</span><span class="p">())</span><span class="si">:</span><span class="s1">,</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="n">model</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Model parameters: 235,146
+MNISTNet(
+  (net): Sequential(
+    (0): Linear(in_features=784, out_features=256, bias=True)
+    (1): ReLU()
+    (2): Dropout(p=0.2, inplace=False)
+    (3): Linear(in_features=256, out_features=128, bias=True)
+    (4): ReLU()
+    (5): Dropout(p=0.2, inplace=False)
+    (6): Linear(in_features=128, out_features=10, bias=True)
+  )
+)
+</pre>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [6]:</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"># Training with metrics tracking</span>
+<span class="n">history</span> <span class="o">=</span> <span class="p">{</span><span class="s1">'train_loss'</span><span class="p">:</span> <span class="p">[],</span> <span class="s1">'train_acc'</span><span class="p">:</span> <span class="p">[],</span> <span class="s1">'test_loss'</span><span class="p">:</span> <span class="p">[],</span> <span class="s1">'test_acc'</span><span class="p">:</span> <span class="p">[]}</span>
+
+<span class="k">for</span> <span class="n">epoch</span> <span class="ow">in</span> <span class="n">tqdm</span><span class="p">(</span><span class="nb">range</span><span class="p">(</span><span class="n">EPOCHS</span><span class="p">),</span> <span class="n">desc</span><span class="o">=</span><span class="s1">'Training'</span><span class="p">):</span>
+    <span class="c1"># Train</span>
+    <span class="n">model</span><span class="o">.</span><span class="n">train</span><span class="p">()</span>
+    <span class="n">running_loss</span><span class="p">,</span> <span class="n">correct</span><span class="p">,</span> <span class="n">total</span> <span class="o">=</span> <span class="mf">0.0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span>
+    <span class="k">for</span> <span class="n">X_batch</span><span class="p">,</span> <span class="n">y_batch</span> <span class="ow">in</span> <span class="n">train_loader</span><span class="p">:</span>
+        <span class="n">X_batch</span><span class="p">,</span> <span class="n">y_batch</span> <span class="o">=</span> <span class="n">X_batch</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">y_batch</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
+        <span class="n">optimizer</span><span class="o">.</span><span class="n">zero_grad</span><span class="p">()</span>
+        <span class="n">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">X_batch</span><span class="p">)</span>
+        <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">y_batch</span><span class="p">)</span>
+        <span class="n">loss</span><span class="o">.</span><span class="n">backward</span><span class="p">()</span>
+        <span class="n">optimizer</span><span class="o">.</span><span class="n">step</span><span class="p">()</span>
+        <span class="n">running_loss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">y_batch</span><span class="p">)</span>
+        <span class="n">correct</span> <span class="o">+=</span> <span class="p">(</span><span class="n">outputs</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span> <span class="o">==</span> <span class="n">y_batch</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
+        <span class="n">total</span> <span class="o">+=</span> <span class="nb">len</span><span class="p">(</span><span class="n">y_batch</span><span class="p">)</span>
+    <span class="n">history</span><span class="p">[</span><span class="s1">'train_loss'</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">running_loss</span> <span class="o">/</span> <span class="n">total</span><span class="p">)</span>
+    <span class="n">history</span><span class="p">[</span><span class="s1">'train_acc'</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">correct</span> <span class="o">/</span> <span class="n">total</span><span class="p">)</span>
+
+    <span class="c1"># Evaluate</span>
+    <span class="n">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
+    <span class="n">running_loss</span><span class="p">,</span> <span class="n">correct</span><span class="p">,</span> <span class="n">total</span> <span class="o">=</span> <span class="mf">0.0</span><span class="p">,</span> <span class="mi">0</span><span class="p">,</span> <span class="mi">0</span>
+    <span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
+        <span class="k">for</span> <span class="n">X_batch</span><span class="p">,</span> <span class="n">y_batch</span> <span class="ow">in</span> <span class="n">test_loader</span><span class="p">:</span>
+            <span class="n">X_batch</span><span class="p">,</span> <span class="n">y_batch</span> <span class="o">=</span> <span class="n">X_batch</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">),</span> <span class="n">y_batch</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">)</span>
+            <span class="n">outputs</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">X_batch</span><span class="p">)</span>
+            <span class="n">loss</span> <span class="o">=</span> <span class="n">criterion</span><span class="p">(</span><span class="n">outputs</span><span class="p">,</span> <span class="n">y_batch</span><span class="p">)</span>
+            <span class="n">running_loss</span> <span class="o">+=</span> <span class="n">loss</span><span class="o">.</span><span class="n">item</span><span class="p">()</span> <span class="o">*</span> <span class="nb">len</span><span class="p">(</span><span class="n">y_batch</span><span class="p">)</span>
+            <span class="n">correct</span> <span class="o">+=</span> <span class="p">(</span><span class="n">outputs</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span> <span class="o">==</span> <span class="n">y_batch</span><span class="p">)</span><span class="o">.</span><span class="n">sum</span><span class="p">()</span><span class="o">.</span><span class="n">item</span><span class="p">()</span>
+            <span class="n">total</span> <span class="o">+=</span> <span class="nb">len</span><span class="p">(</span><span class="n">y_batch</span><span class="p">)</span>
+    <span class="n">history</span><span class="p">[</span><span class="s1">'test_loss'</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">running_loss</span> <span class="o">/</span> <span class="n">total</span><span class="p">)</span>
+    <span class="n">history</span><span class="p">[</span><span class="s1">'test_acc'</span><span class="p">]</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">correct</span> <span class="o">/</span> <span class="n">total</span><span class="p">)</span>
+
+    <span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s2">"Epoch </span><span class="si">{</span><span class="n">epoch</span><span class="o">+</span><span class="mi">1</span><span class="si">:</span><span class="s2">2d</span><span class="si">}</span><span class="s2"> | Train Loss: </span><span class="si">{</span><span class="n">history</span><span class="p">[</span><span class="s1">'train_loss'</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="si">:</span><span class="s2">.4f</span><span class="si">}</span><span class="s2"> Acc: </span><span class="si">{</span><span class="n">history</span><span class="p">[</span><span class="s1">'train_acc'</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="si">:</span><span class="s2">.4f</span><span class="si">}</span><span class="s2"> | "</span>
+          <span class="sa">f</span><span class="s2">"Test Loss: </span><span class="si">{</span><span class="n">history</span><span class="p">[</span><span class="s1">'test_loss'</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="si">:</span><span class="s2">.4f</span><span class="si">}</span><span class="s2"> Acc: </span><span class="si">{</span><span class="n">history</span><span class="p">[</span><span class="s1">'test_acc'</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="si">:</span><span class="s2">.4f</span><span class="si">}</span><span class="s2">"</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Training:   0%|          | 0/15 [00:00&lt;?, ?it/s]</pre>
+</div>
+</div>
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Epoch  1 | Train Loss: 0.3803 Acc: 0.8898 | Test Loss: 0.1511 Acc: 0.9547
+Epoch  2 | Train Loss: 0.1498 Acc: 0.9547 | Test Loss: 0.1011 Acc: 0.9693
+Epoch  3 | Train Loss: 0.1079 Acc: 0.9671 | Test Loss: 0.0837 Acc: 0.9731
+Epoch  4 | Train Loss: 0.0836 Acc: 0.9739 | Test Loss: 0.0759 Acc: 0.9762
+Epoch  5 | Train Loss: 0.0703 Acc: 0.9781 | Test Loss: 0.0729 Acc: 0.9775
+Epoch  6 | Train Loss: 0.0585 Acc: 0.9814 | Test Loss: 0.0722 Acc: 0.9782
+Epoch  7 | Train Loss: 0.0532 Acc: 0.9825 | Test Loss: 0.0709 Acc: 0.9804
+Epoch  8 | Train Loss: 0.0444 Acc: 0.9861 | Test Loss: 0.0724 Acc: 0.9783
+Epoch  9 | Train Loss: 0.0422 Acc: 0.9861 | Test Loss: 0.0615 Acc: 0.9816
+Epoch 10 | Train Loss: 0.0350 Acc: 0.9888 | Test Loss: 0.0631 Acc: 0.9828
+Epoch 11 | Train Loss: 0.0358 Acc: 0.9887 | Test Loss: 0.0622 Acc: 0.9821
+Epoch 12 | Train Loss: 0.0307 Acc: 0.9894 | Test Loss: 0.0670 Acc: 0.9817
+Epoch 13 | Train Loss: 0.0294 Acc: 0.9904 | Test Loss: 0.0677 Acc: 0.9827
+Epoch 14 | Train Loss: 0.0264 Acc: 0.9906 | Test Loss: 0.0659 Acc: 0.9818
+Epoch 15 | Train Loss: 0.0251 Acc: 0.9916 | Test Loss: 0.0653 Acc: 0.9826
+</pre>
+</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">
+<h2 id="5.-Training-Curves">5. Training Curves<a class="anchor-link" href="#5.-Training-Curves">¶</a></h2><p><strong>What to look for:</strong></p>
+<ul>
+<li>If test loss increases while train loss decreases → <strong>overfitting</strong> (try more dropout, fewer parameters)</li>
+<li>If both losses plateau high → <strong>underfitting</strong> (try more parameters, lower dropout)</li>
+<li>Gap between train/test accuracy shows generalization</li>
+</ul>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [7]:</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">fig</span><span class="p">,</span> <span class="p">(</span><span class="n">ax1</span><span class="p">,</span> <span class="n">ax2</span><span class="p">)</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="mi">2</span><span class="p">,</span> <span class="n">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">12</span><span class="p">,</span> <span class="mi">4</span><span class="p">))</span>
+
+<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">history</span><span class="p">[</span><span class="s1">'train_loss'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Train'</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">history</span><span class="p">[</span><span class="s1">'test_loss'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Test'</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Epoch'</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Loss'</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'Loss Curve'</span><span class="p">)</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">ax1</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="kc">True</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.3</span><span class="p">)</span>
+
+<span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">history</span><span class="p">[</span><span class="s1">'train_acc'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Train'</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">plot</span><span class="p">(</span><span class="n">history</span><span class="p">[</span><span class="s1">'test_acc'</span><span class="p">],</span> <span class="n">label</span><span class="o">=</span><span class="s1">'Test'</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_xlabel</span><span class="p">(</span><span class="s1">'Epoch'</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_ylabel</span><span class="p">(</span><span class="s1">'Accuracy'</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="s1">'Accuracy Curve'</span><span class="p">)</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">legend</span><span class="p">()</span>
+<span class="n">ax2</span><span class="o">.</span><span class="n">grid</span><span class="p">(</span><span class="kc">True</span><span class="p">,</span> <span class="n">alpha</span><span class="o">=</span><span class="mf">0.3</span><span class="p">)</span>
+
+<span class="n">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">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
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+<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="6.-Confusion-Matrix">6. Confusion Matrix<a class="anchor-link" href="#6.-Confusion-Matrix">¶</a></h2><p>Shows which digits get confused with each other (e.g., 4↔9, 3↔5 are common).</p>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [8]:</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">model</span><span class="o">.</span><span class="n">eval</span><span class="p">()</span>
+<span class="n">all_preds</span><span class="p">,</span> <span class="n">all_labels</span> <span class="o">=</span> <span class="p">[],</span> <span class="p">[]</span>
+<span class="k">with</span> <span class="n">torch</span><span class="o">.</span><span class="n">no_grad</span><span class="p">():</span>
+    <span class="k">for</span> <span class="n">X_batch</span><span class="p">,</span> <span class="n">y_batch</span> <span class="ow">in</span> <span class="n">test_loader</span><span class="p">:</span>
+        <span class="n">preds</span> <span class="o">=</span> <span class="n">model</span><span class="p">(</span><span class="n">X_batch</span><span class="o">.</span><span class="n">to</span><span class="p">(</span><span class="n">device</span><span class="p">))</span><span class="o">.</span><span class="n">argmax</span><span class="p">(</span><span class="mi">1</span><span class="p">)</span><span class="o">.</span><span class="n">cpu</span><span class="p">()</span>
+        <span class="n">all_preds</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">preds</span><span class="p">)</span>
+        <span class="n">all_labels</span><span class="o">.</span><span class="n">append</span><span class="p">(</span><span class="n">y_batch</span><span class="p">)</span>
+
+<span class="n">all_preds</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">(</span><span class="n">all_preds</span><span class="p">)</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+<span class="n">all_labels</span> <span class="o">=</span> <span class="n">torch</span><span class="o">.</span><span class="n">cat</span><span class="p">(</span><span class="n">all_labels</span><span class="p">)</span><span class="o">.</span><span class="n">numpy</span><span class="p">()</span>
+
+<span class="n">cm</span> <span class="o">=</span> <span class="n">confusion_matrix</span><span class="p">(</span><span class="n">all_labels</span><span class="p">,</span> <span class="n">all_preds</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">figsize</span><span class="o">=</span><span class="p">(</span><span class="mi">8</span><span class="p">,</span> <span class="mi">6</span><span class="p">))</span>
+<span class="n">sns</span><span class="o">.</span><span class="n">heatmap</span><span class="p">(</span><span class="n">cm</span><span class="p">,</span> <span class="n">annot</span><span class="o">=</span><span class="kc">True</span><span class="p">,</span> <span class="n">fmt</span><span class="o">=</span><span class="s1">'d'</span><span class="p">,</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'Blues'</span><span class="p">,</span>
+            <span class="n">xticklabels</span><span class="o">=</span><span class="nb">range</span><span class="p">(</span><span class="mi">10</span><span class="p">),</span> <span class="n">yticklabels</span><span class="o">=</span><span class="nb">range</span><span class="p">(</span><span class="mi">10</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">'Predicted'</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">'Actual'</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">'Confusion Matrix'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">show</span><span class="p">()</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
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+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedImage jp-OutputArea-output" tabindex="0">
+<img alt="No description has been provided for this image" class="" 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"/>
+</div>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [9]:</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="nb">print</span><span class="p">(</span><span class="n">classification_report</span><span class="p">(</span><span class="n">all_labels</span><span class="p">,</span> <span class="n">all_preds</span><span class="p">,</span> <span class="n">digits</span><span class="o">=</span><span class="mi">4</span><span class="p">))</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>              precision    recall  f1-score   support
+
+           0     0.9798    0.9908    0.9853       980
+           1     0.9877    0.9930    0.9903      1135
+           2     0.9872    0.9700    0.9785      1032
+           3     0.9861    0.9832    0.9846      1010
+           4     0.9825    0.9725    0.9775       982
+           5     0.9898    0.9798    0.9848       892
+           6     0.9864    0.9875    0.9870       958
+           7     0.9806    0.9815    0.9810      1028
+           8     0.9785    0.9805    0.9795       974
+           9     0.9679    0.9861    0.9769      1009
+
+    accuracy                         0.9826     10000
+   macro avg     0.9827    0.9825    0.9825     10000
+weighted avg     0.9826    0.9826    0.9826     10000
+
+</pre>
+</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>
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+<h2 id="7.-Misclassified-Examples">7. Misclassified Examples<a class="anchor-link" href="#7.-Misclassified-Examples">¶</a></h2><p>Seeing what the model gets wrong helps understand its weaknesses.</p>
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+<div class="jp-InputPrompt jp-InputArea-prompt">In [10]:</div>
+<div class="jp-CodeMirrorEditor jp-Editor jp-InputArea-editor" data-type="inline">
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+<div class="highlight hl-ipython3"><pre><span></span><span class="n">wrong_idx</span> <span class="o">=</span> <span class="n">np</span><span class="o">.</span><span class="n">where</span><span class="p">(</span><span class="n">all_preds</span> <span class="o">!=</span> <span class="n">all_labels</span><span class="p">)[</span><span class="mi">0</span><span class="p">][:</span><span class="mi">10</span><span class="p">]</span>
+
+<span class="n">fig</span><span class="p">,</span> <span class="n">axes</span> <span class="o">=</span> <span class="n">plt</span><span class="o">.</span><span class="n">subplots</span><span class="p">(</span><span class="mi">2</span><span class="p">,</span> <span class="mi">5</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">5</span><span class="p">))</span>
+<span class="k">for</span> <span class="n">i</span><span class="p">,</span> <span class="n">idx</span> <span class="ow">in</span> <span class="nb">enumerate</span><span class="p">(</span><span class="n">wrong_idx</span><span class="p">):</span>
+    <span class="n">ax</span> <span class="o">=</span> <span class="n">axes</span><span class="p">[</span><span class="n">i</span> <span class="o">//</span> <span class="mi">5</span><span class="p">,</span> <span class="n">i</span> <span class="o">%</span> <span class="mi">5</span><span class="p">]</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">imshow</span><span class="p">(</span><span class="n">X_test</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span><span class="o">.</span><span class="n">reshape</span><span class="p">(</span><span class="mi">28</span><span class="p">,</span> <span class="mi">28</span><span class="p">),</span> <span class="n">cmap</span><span class="o">=</span><span class="s1">'gray'</span><span class="p">)</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">set_title</span><span class="p">(</span><span class="sa">f</span><span class="s1">'True: </span><span class="si">{</span><span class="n">all_labels</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span><span class="si">}</span><span class="se">\n</span><span class="s1">Pred: </span><span class="si">{</span><span class="n">all_preds</span><span class="p">[</span><span class="n">idx</span><span class="p">]</span><span class="si">}</span><span class="s1">'</span><span class="p">,</span> <span class="n">color</span><span class="o">=</span><span class="s1">'red'</span><span class="p">)</span>
+    <span class="n">ax</span><span class="o">.</span><span class="n">axis</span><span class="p">(</span><span class="s1">'off'</span><span class="p">)</span>
+<span class="n">plt</span><span class="o">.</span><span class="n">suptitle</span><span class="p">(</span><span class="s1">'Misclassified Examples'</span><span class="p">,</span> <span class="n">fontsize</span><span class="o">=</span><span class="mi">14</span><span class="p">)</span>
+<span class="n">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">show</span><span class="p">()</span>
+</pre></div>
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"/>
+</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">
+<h2 id="8.-Save-Model-&amp;-Training-Results-to-DuckDB">8. Save Model &amp; Training Results to DuckDB<a class="anchor-link" href="#8.-Save-Model-&amp;-Training-Results-to-DuckDB">¶</a></h2>
+</div>
+</div>
+</div>
+</div><div class="jp-Cell jp-CodeCell 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">In [11]:</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="w"> </span><span class="nn">pandas</span><span class="w"> </span><span class="k">as</span><span class="w"> </span><span class="nn">pd</span>
+
+<span class="c1"># Save training history</span>
+<span class="n">history_df</span> <span class="o">=</span> <span class="n">pd</span><span class="o">.</span><span class="n">DataFrame</span><span class="p">(</span><span class="n">history</span><span class="p">)</span>
+<span class="n">history_df</span><span class="p">[</span><span class="s1">'epoch'</span><span class="p">]</span> <span class="o">=</span> <span class="nb">range</span><span class="p">(</span><span class="mi">1</span><span class="p">,</span> <span class="n">EPOCHS</span> <span class="o">+</span> <span class="mi">1</span><span class="p">)</span>
+
+<span class="n">con</span> <span class="o">=</span> <span class="n">duckdb</span><span class="o">.</span><span class="n">connect</span><span class="p">(</span><span class="nb">str</span><span class="p">(</span><span class="n">Path</span><span class="p">(</span><span class="s1">'../data/mnist.duckdb'</span><span class="p">)))</span>
+<span class="n">con</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s1">'DROP TABLE IF EXISTS training_history'</span><span class="p">)</span>
+<span class="n">con</span><span class="o">.</span><span class="n">execute</span><span class="p">(</span><span class="s1">'CREATE TABLE training_history AS SELECT * FROM history_df'</span><span class="p">)</span>
+<span class="n">con</span><span class="o">.</span><span class="n">close</span><span class="p">()</span>
+
+<span class="c1"># Save model weights</span>
+<span class="n">torch</span><span class="o">.</span><span class="n">save</span><span class="p">(</span><span class="n">model</span><span class="o">.</span><span class="n">state_dict</span><span class="p">(),</span> <span class="s1">'../data/mnist_model.pth'</span><span class="p">)</span>
+<span class="nb">print</span><span class="p">(</span><span class="sa">f</span><span class="s1">'Model saved. Final test accuracy: </span><span class="si">{</span><span class="n">history</span><span class="p">[</span><span class="s2">"test_acc"</span><span class="p">][</span><span class="o">-</span><span class="mi">1</span><span class="p">]</span><span class="si">:</span><span class="s1">.4f</span><span class="si">}</span><span class="s1">'</span><span class="p">)</span>
+</pre></div>
+</div>
+</div>
+</div>
+</div>
+<div class="jp-Cell-outputWrapper">
+<div class="jp-Collapser jp-OutputCollapser jp-Cell-outputCollapser">
+</div>
+<div class="jp-OutputArea jp-Cell-outputArea">
+<div class="jp-OutputArea-child">
+<div class="jp-OutputPrompt jp-OutputArea-prompt"></div>
+<div class="jp-RenderedText jp-OutputArea-output" data-mime-type="text/plain" tabindex="0">
+<pre>Model saved. Final test accuracy: 0.9826
+</pre>
+</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">
+<h2 id="9.-Experiment-Ideas">9. Experiment Ideas<a class="anchor-link" href="#9.-Experiment-Ideas">¶</a></h2><p>Try changing these parameters and re-running to see the effect:</p>
+<table>
+<thead>
+<tr>
+<th>Parameter</th>
+<th>Current</th>
+<th>Try</th>
+</tr>
+</thead>
+<tbody>
+<tr>
+<td><code>LEARNING_RATE</code></td>
+<td>0.001</td>
+<td>0.01, 0.0001</td>
+</tr>
+<tr>
+<td><code>HIDDEN1</code></td>
+<td>256</td>
+<td>64, 512</td>
+</tr>
+<tr>
+<td><code>HIDDEN2</code></td>
+<td>128</td>
+<td>32, 256</td>
+</tr>
+<tr>
+<td><code>DROPOUT</code></td>
+<td>0.2</td>
+<td>0.0, 0.5</td>
+</tr>
+<tr>
+<td><code>EPOCHS</code></td>
+<td>15</td>
+<td>5, 30</td>
+</tr>
+<tr>
+<td><code>BATCH_SIZE</code></td>
+<td>128</td>
+<td>32, 512</td>
+</tr>
+<tr>
+<td>Optimizer</td>
+<td>Adam</td>
+<td>SGD(lr=0.01, momentum=0.9)</td>
+</tr>
+</tbody>
+</table>
+</div>
+</div>
+</div>
+</div>
+</main>
+</body>
+</html>
diff --git a/docs/nbconvert/01_data_loading.md b/docs/nbconvert/01_data_loading.md
new file mode 100644
index 0000000..eb87964
--- /dev/null
+++ b/docs/nbconvert/01_data_loading.md
@@ -0,0 +1,171 @@
+# 01 - MNIST Data Loading & DuckDB Storage
+
+This notebook:
+
+1. Reads raw MNIST IDX binary files
+2. Stores them in DuckDB for fast SQL-based exploration
+3. Visualizes sample digits
+
+```python
+import numpy as np
+import pandas as pd
+import duckdb
+import struct
+import matplotlib.pyplot as plt
+from pathlib import Path
+```
+
+## Load MNIST IDX Files
+
+The IDX format stores images as raw bytes with a header containing dimensions.
+
+```python
+def read_idx_images(path):
+    with open(path, 'rb') as f:
+        magic, n, rows, cols = struct.unpack('>IIII', f.read(16))
+        return np.frombuffer(f.read(), dtype=np.uint8).reshape(n, rows * cols)
+
+def read_idx_labels(path):
+    with open(path, 'rb') as f:
+        magic, n = struct.unpack('>II', f.read(8))
+        return np.frombuffer(f.read(), dtype=np.uint8)
+
+data_dir = Path('../data')
+train_images = read_idx_images(data_dir / 'train-images.idx3-ubyte')
+train_labels = read_idx_labels(data_dir / 'train-labels.idx1-ubyte')
+test_images = read_idx_images(data_dir / 't10k-images.idx3-ubyte')
+test_labels = read_idx_labels(data_dir / 't10k-labels.idx1-ubyte')
+
+print(f'Train: {train_images.shape[0]} images, {train_images.shape[1]} pixels each')
+print(f'Test:  {test_images.shape[0]} images')
+```
+
+    Train: 60000 images, 784 pixels each
+    Test:  10000 images
+    
+
+## Store in DuckDB
+
+We store pixel data as a flat array (784 columns for 28x28) plus the label. This lets us query and filter with SQL.
+
+```python
+db_path = str(data_dir / 'mnist.duckdb')
+con = duckdb.connect(db_path)
+
+# Create train table
+train_df = pd.DataFrame(train_images, columns=[f'px{i}' for i in range(784)])
+train_df['label'] = train_labels
+train_df['split'] = 'train'
+
+# Create test table
+test_df = pd.DataFrame(test_images, columns=[f'px{i}' for i in range(784)])
+test_df['label'] = test_labels
+test_df['split'] = 'test'
+
+# Combine and write
+all_df = pd.concat([train_df, test_df], ignore_index=True)
+con.execute('DROP TABLE IF EXISTS mnist')
+con.execute('CREATE TABLE mnist AS SELECT * FROM all_df')
+print(f'Stored {len(all_df)} records in DuckDB')
+```
+
+    Stored 70000 records in DuckDB
+    
+
+## Explore with SQL
+
+```python
+# Label distribution
+con.execute("""
+    SELECT label, split, COUNT(*) as count
+    FROM mnist
+    GROUP BY label, split
+    ORDER BY label, split
+""").df()
+```
+
+|     | label | split | count |
+| --- | ----- | ----- | ----- |
+| 0   | 0     | test  | 980   |
+| 1   | 0     | train | 5923  |
+| 2   | 1     | test  | 1135  |
+| 3   | 1     | train | 6742  |
+| 4   | 2     | test  | 1032  |
+| 5   | 2     | train | 5958  |
+| 6   | 3     | test  | 1010  |
+| 7   | 3     | train | 6131  |
+| 8   | 4     | test  | 982   |
+| 9   | 4     | train | 5842  |
+| 10  | 5     | test  | 892   |
+| 11  | 5     | train | 5421  |
+| 12  | 6     | test  | 958   |
+| 13  | 6     | train | 5918  |
+| 14  | 7     | test  | 1028  |
+| 15  | 7     | train | 6265  |
+| 16  | 8     | test  | 974   |
+| 17  | 8     | train | 5851  |
+| 18  | 9     | test  | 1009  |
+| 19  | 9     | train | 5949  |
+
+```python
+# Average pixel intensity per digit
+con.execute("""
+    SELECT label,
+           ROUND(AVG(px196::INT + px197::INT + px224::INT + px225::INT), 1) as center_intensity
+    FROM mnist WHERE split='train'
+    GROUP BY label ORDER BY label
+""").df()
+```
+
+|     | label | center_intensity |
+| --- | ----- | ---------------- |
+| 0   | 0     | 0.0              |
+| 1   | 1     | 0.0              |
+| 2   | 2     | 0.0              |
+| 3   | 3     | 0.1              |
+| 4   | 4     | 0.0              |
+| 5   | 5     | 0.0              |
+| 6   | 6     | 0.0              |
+| 7   | 7     | 0.6              |
+| 8   | 8     | 0.0              |
+| 9   | 9     | 0.0              |
+
+## Visualize Sample Digits
+
+```python
+fig, axes = plt.subplots(2, 5, figsize=(10, 4))
+for digit in range(10):
+    row = con.execute(f"SELECT * FROM mnist WHERE label={digit} AND split='train' LIMIT 1").fetchone()
+    pixels = np.array(row[:784]).reshape(28, 28)
+    ax = axes[digit // 5, digit % 5]
+    ax.imshow(pixels, cmap='gray')
+    ax.set_title(f'Label: {digit}')
+    ax.axis('off')
+plt.tight_layout()
+plt.show()
+```
+
+![png](01_data_loading_files/01_data_loading_10_0.png)
+
+```python
+# Pixel intensity heatmap averaged across all training images
+avg_pixels = con.execute("""
+    SELECT {} FROM mnist WHERE split='train'
+""".format(', '.join(f'AVG(px{i}) as px{i}' for i in range(784)))).fetchone()
+
+plt.figure(figsize=(5, 5))
+plt.imshow(np.array(avg_pixels).reshape(28, 28), cmap='hot')
+plt.title('Average pixel intensity (all digits)')
+plt.colorbar()
+plt.show()
+```
+
+![png](01_data_loading_files/01_data_loading_11_0.png)
+
+```python
+con.close()
+print('DuckDB connection closed. Database saved at:', db_path)
+```
+
+    DuckDB connection closed. Database saved at: ..\data\mnist.duckdb
+    
diff --git a/docs/nbconvert/01_data_loading_files/01_data_loading_10_0.png b/docs/nbconvert/01_data_loading_files/01_data_loading_10_0.png
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diff --git a/docs/nbconvert/02_model_training.md b/docs/nbconvert/02_model_training.md
new file mode 100644
index 0000000..c1af885
--- /dev/null
+++ b/docs/nbconvert/02_model_training.md
@@ -0,0 +1,340 @@
+# 02 - MNIST Model Training & Visualization
+
+This notebook trains a neural network on MNIST data loaded from DuckDB, then visualizes:
+
+- Training loss & accuracy curves
+- Confusion matrix
+- Per-digit accuracy
+- Misclassified examples
+
+**Key ML Concepts Covered:**
+
+- Neural network architecture (layers, activations)
+- Forward/backward propagation
+- Loss functions & optimizers
+- Batch training with DataLoaders
+- Overfitting detection (train vs validation)
+
+```python
+import numpy as np
+import duckdb
+import torch
+import torch.nn as nn
+from torch.utils.data import DataLoader, TensorDataset
+import matplotlib.pyplot as plt
+import seaborn as sns
+from sklearn.metrics import confusion_matrix, classification_report
+from pathlib import Path
+from tqdm.notebook import tqdm
+```
+
+## 1. Load Data from DuckDB
+
+```python
+con = duckdb.connect(str(Path('../data/mnist.duckdb')), read_only=True)
+
+train_data = con.execute("SELECT * FROM mnist WHERE split='train'").fetchnumpy()
+test_data = con.execute("SELECT * FROM mnist WHERE split='test'").fetchnumpy()
+con.close()
+
+# Extract pixel columns and labels
+px_cols = [f'px{i}' for i in range(784)]
+X_train = np.column_stack([train_data[c] for c in px_cols]).astype(np.float32) / 255.0
+y_train = train_data['label'].astype(np.int64)
+X_test = np.column_stack([test_data[c] for c in px_cols]).astype(np.float32) / 255.0
+y_test = test_data['label'].astype(np.int64)
+
+print(f'Train: {X_train.shape}, Test: {X_test.shape}')
+```
+
+    Train: (60000, 784), Test: (10000, 784)
+    
+
+## 2. Create PyTorch DataLoaders
+
+DataLoaders handle batching and shuffling. Batch size is a key hyperparameter:
+
+- **Smaller batches** → noisier gradients, can help escape local minima
+- **Larger batches** → smoother gradients, faster training per epoch
+
+```python
+BATCH_SIZE = 128
+
+train_ds = TensorDataset(torch.tensor(X_train), torch.tensor(y_train))
+test_ds = TensorDataset(torch.tensor(X_test), torch.tensor(y_test))
+
+train_loader = DataLoader(train_ds, batch_size=BATCH_SIZE, shuffle=True)
+test_loader = DataLoader(test_ds, batch_size=BATCH_SIZE)
+```
+
+## 3. Define the Neural Network
+
+Architecture: 784 → 256 → 128 → 10
+
+**Key parameters to experiment with:**
+
+- Hidden layer sizes (try 64, 128, 256, 512)
+- Number of layers (try 1-4 hidden layers)
+- Activation function (ReLU, Sigmoid, Tanh)
+- Dropout rate (regularization to prevent overfitting)
+
+```python
+class MNISTNet(nn.Module):
+    def __init__(self, hidden1=256, hidden2=128, dropout=0.2):
+        super().__init__()
+        self.net = nn.Sequential(
+            nn.Linear(784, hidden1),
+            nn.ReLU(),
+            nn.Dropout(dropout),
+            nn.Linear(hidden1, hidden2),
+            nn.ReLU(),
+            nn.Dropout(dropout),
+            nn.Linear(hidden2, 10)
+        )
+
+    def forward(self, x):
+        return self.net(x)
+
+device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')
+print(f'Using device: {device}')
+```
+
+    Using device: cpu
+    
+
+## 4. Training Loop
+
+**Hyperparameters:**
+
+- `lr` (learning rate): How big each optimization step is. Too high → diverges. Too low → slow.
+- `epochs`: Number of full passes through the training data.
+- `optimizer`: Adam adapts learning rate per-parameter. SGD is simpler but needs tuning.
+
+```python
+# === HYPERPARAMETERS (experiment with these!) ===
+EPOCHS = 15
+LEARNING_RATE = 1e-3
+HIDDEN1 = 256
+HIDDEN2 = 128
+DROPOUT = 0.2
+
+model = MNISTNet(HIDDEN1, HIDDEN2, DROPOUT).to(device)
+criterion = nn.CrossEntropyLoss()
+optimizer = torch.optim.Adam(model.parameters(), lr=LEARNING_RATE)
+
+print(f'Model parameters: {sum(p.numel() for p in model.parameters()):,}')
+print(model)
+```
+
+    Model parameters: 235,146
+    MNISTNet(
+      (net): Sequential(
+        (0): Linear(in_features=784, out_features=256, bias=True)
+        (1): ReLU()
+        (2): Dropout(p=0.2, inplace=False)
+        (3): Linear(in_features=256, out_features=128, bias=True)
+        (4): ReLU()
+        (5): Dropout(p=0.2, inplace=False)
+        (6): Linear(in_features=128, out_features=10, bias=True)
+      )
+    )
+    
+
+```python
+# Training with metrics tracking
+history = {'train_loss': [], 'train_acc': [], 'test_loss': [], 'test_acc': []}
+
+for epoch in tqdm(range(EPOCHS), desc='Training'):
+    # Train
+    model.train()
+    running_loss, correct, total = 0.0, 0, 0
+    for X_batch, y_batch in train_loader:
+        X_batch, y_batch = X_batch.to(device), y_batch.to(device)
+        optimizer.zero_grad()
+        outputs = model(X_batch)
+        loss = criterion(outputs, y_batch)
+        loss.backward()
+        optimizer.step()
+        running_loss += loss.item() * len(y_batch)
+        correct += (outputs.argmax(1) == y_batch).sum().item()
+        total += len(y_batch)
+    history['train_loss'].append(running_loss / total)
+    history['train_acc'].append(correct / total)
+
+    # Evaluate
+    model.eval()
+    running_loss, correct, total = 0.0, 0, 0
+    with torch.no_grad():
+        for X_batch, y_batch in test_loader:
+            X_batch, y_batch = X_batch.to(device), y_batch.to(device)
+            outputs = model(X_batch)
+            loss = criterion(outputs, y_batch)
+            running_loss += loss.item() * len(y_batch)
+            correct += (outputs.argmax(1) == y_batch).sum().item()
+            total += len(y_batch)
+    history['test_loss'].append(running_loss / total)
+    history['test_acc'].append(correct / total)
+
+    print(f"Epoch {epoch+1:2d} | Train Loss: {history['train_loss'][-1]:.4f} Acc: {history['train_acc'][-1]:.4f} | "
+          f"Test Loss: {history['test_loss'][-1]:.4f} Acc: {history['test_acc'][-1]:.4f}")
+```
+
+    Training:   0%|          | 0/15 [00:00<?, ?it/s]
+
+
+    Epoch  1 | Train Loss: 0.3803 Acc: 0.8898 | Test Loss: 0.1511 Acc: 0.9547
+    Epoch  2 | Train Loss: 0.1498 Acc: 0.9547 | Test Loss: 0.1011 Acc: 0.9693
+    Epoch  3 | Train Loss: 0.1079 Acc: 0.9671 | Test Loss: 0.0837 Acc: 0.9731
+    Epoch  4 | Train Loss: 0.0836 Acc: 0.9739 | Test Loss: 0.0759 Acc: 0.9762
+    Epoch  5 | Train Loss: 0.0703 Acc: 0.9781 | Test Loss: 0.0729 Acc: 0.9775
+    Epoch  6 | Train Loss: 0.0585 Acc: 0.9814 | Test Loss: 0.0722 Acc: 0.9782
+    Epoch  7 | Train Loss: 0.0532 Acc: 0.9825 | Test Loss: 0.0709 Acc: 0.9804
+    Epoch  8 | Train Loss: 0.0444 Acc: 0.9861 | Test Loss: 0.0724 Acc: 0.9783
+    Epoch  9 | Train Loss: 0.0422 Acc: 0.9861 | Test Loss: 0.0615 Acc: 0.9816
+    Epoch 10 | Train Loss: 0.0350 Acc: 0.9888 | Test Loss: 0.0631 Acc: 0.9828
+    Epoch 11 | Train Loss: 0.0358 Acc: 0.9887 | Test Loss: 0.0622 Acc: 0.9821
+    Epoch 12 | Train Loss: 0.0307 Acc: 0.9894 | Test Loss: 0.0670 Acc: 0.9817
+    Epoch 13 | Train Loss: 0.0294 Acc: 0.9904 | Test Loss: 0.0677 Acc: 0.9827
+    Epoch 14 | Train Loss: 0.0264 Acc: 0.9906 | Test Loss: 0.0659 Acc: 0.9818
+    Epoch 15 | Train Loss: 0.0251 Acc: 0.9916 | Test Loss: 0.0653 Acc: 0.9826
+    
+
+## 5. Training Curves
+
+**What to look for:**
+
+- If test loss increases while train loss decreases → **overfitting** (try more dropout, fewer parameters)
+- If both losses plateau high → **underfitting** (try more parameters, lower dropout)
+- Gap between train/test accuracy shows generalization
+
+```python
+fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4))
+
+ax1.plot(history['train_loss'], label='Train')
+ax1.plot(history['test_loss'], label='Test')
+ax1.set_xlabel('Epoch')
+ax1.set_ylabel('Loss')
+ax1.set_title('Loss Curve')
+ax1.legend()
+ax1.grid(True, alpha=0.3)
+
+ax2.plot(history['train_acc'], label='Train')
+ax2.plot(history['test_acc'], label='Test')
+ax2.set_xlabel('Epoch')
+ax2.set_ylabel('Accuracy')
+ax2.set_title('Accuracy Curve')
+ax2.legend()
+ax2.grid(True, alpha=0.3)
+
+plt.tight_layout()
+plt.show()
+```
+
+![png](02_model_training_files/02_model_training_12_0.png)
+
+## 6. Confusion Matrix
+
+Shows which digits get confused with each other (e.g., 4↔9, 3↔5 are common).
+
+```python
+model.eval()
+all_preds, all_labels = [], []
+with torch.no_grad():
+    for X_batch, y_batch in test_loader:
+        preds = model(X_batch.to(device)).argmax(1).cpu()
+        all_preds.append(preds)
+        all_labels.append(y_batch)
+
+all_preds = torch.cat(all_preds).numpy()
+all_labels = torch.cat(all_labels).numpy()
+
+cm = confusion_matrix(all_labels, all_preds)
+plt.figure(figsize=(8, 6))
+sns.heatmap(cm, annot=True, fmt='d', cmap='Blues',
+            xticklabels=range(10), yticklabels=range(10))
+plt.xlabel('Predicted')
+plt.ylabel('Actual')
+plt.title('Confusion Matrix')
+plt.show()
+```
+
+![png](02_model_training_files/02_model_training_14_0.png)
+
+```python
+print(classification_report(all_labels, all_preds, digits=4))
+```
+
+                  precision    recall  f1-score   support
+    
+               0     0.9798    0.9908    0.9853       980
+               1     0.9877    0.9930    0.9903      1135
+               2     0.9872    0.9700    0.9785      1032
+               3     0.9861    0.9832    0.9846      1010
+               4     0.9825    0.9725    0.9775       982
+               5     0.9898    0.9798    0.9848       892
+               6     0.9864    0.9875    0.9870       958
+               7     0.9806    0.9815    0.9810      1028
+               8     0.9785    0.9805    0.9795       974
+               9     0.9679    0.9861    0.9769      1009
+    
+        accuracy                         0.9826     10000
+       macro avg     0.9827    0.9825    0.9825     10000
+    weighted avg     0.9826    0.9826    0.9826     10000
+    
+    
+
+## 7. Misclassified Examples
+
+Seeing what the model gets wrong helps understand its weaknesses.
+
+```python
+wrong_idx = np.where(all_preds != all_labels)[0][:10]
+
+fig, axes = plt.subplots(2, 5, figsize=(12, 5))
+for i, idx in enumerate(wrong_idx):
+    ax = axes[i // 5, i % 5]
+    ax.imshow(X_test[idx].reshape(28, 28), cmap='gray')
+    ax.set_title(f'True: {all_labels[idx]}\nPred: {all_preds[idx]}', color='red')
+    ax.axis('off')
+plt.suptitle('Misclassified Examples', fontsize=14)
+plt.tight_layout()
+plt.show()
+```
+
+![png](02_model_training_files/02_model_training_17_0.png)
+
+## 8. Save Model & Training Results to DuckDB
+
+```python
+import pandas as pd
+
+# Save training history
+history_df = pd.DataFrame(history)
+history_df['epoch'] = range(1, EPOCHS + 1)
+
+con = duckdb.connect(str(Path('../data/mnist.duckdb')))
+con.execute('DROP TABLE IF EXISTS training_history')
+con.execute('CREATE TABLE training_history AS SELECT * FROM history_df')
+con.close()
+
+# Save model weights
+torch.save(model.state_dict(), '../data/mnist_model.pth')
+print(f'Model saved. Final test accuracy: {history["test_acc"][-1]:.4f}')
+```
+
+    Model saved. Final test accuracy: 0.9826
+    
+
+## 9. Experiment Ideas
+
+Try changing these parameters and re-running to see the effect:
+
+| Parameter       | Current | Try                        |
+| --------------- | ------- | -------------------------- |
+| `LEARNING_RATE` | 0.001   | 0.01, 0.0001               |
+| `HIDDEN1`       | 256     | 64, 512                    |
+| `HIDDEN2`       | 128     | 32, 256                    |
+| `DROPOUT`       | 0.2     | 0.0, 0.5                   |
+| `EPOCHS`        | 15      | 5, 30                      |
+| `BATCH_SIZE`    | 128     | 32, 512                    |
+| Optimizer       | Adam    | SGD(lr=0.01, momentum=0.9) |
diff --git a/docs/nbconvert/02_model_training_files/02_model_training_12_0.png b/docs/nbconvert/02_model_training_files/02_model_training_12_0.png
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+.typora-export-show-outline .outline-item-active > .outline-item .outline-label { font-weight: 700; }
+.md-inline-math-container mjx-container { zoom: 0.95; }
+mjx-container { break-inside: avoid; }
+.md-alert.md-alert-note { border-left-color: rgb(9, 105, 218); }
+.md-alert.md-alert-important { border-left-color: rgb(130, 80, 223); }
+.md-alert.md-alert-warning { border-left-color: rgb(154, 103, 0); }
+.md-alert.md-alert-tip { border-left-color: rgb(31, 136, 61); }
+.md-alert.md-alert-caution { border-left-color: rgb(207, 34, 46); }
+.md-alert { padding: 0px 1em; margin-bottom: 16px; color: inherit; border-left: 0.25em solid rgb(0, 0, 0); }
+.md-alert-text-note { color: rgb(9, 105, 218); }
+.md-alert-text-important { color: rgb(130, 80, 223); }
+.md-alert-text-warning { color: rgb(154, 103, 0); }
+.md-alert-text-tip { color: rgb(31, 136, 61); }
+.md-alert-text-caution { color: rgb(207, 34, 46); }
+.md-alert-text { font-size: 0.9rem; font-weight: 700; }
+.md-alert-text svg { fill: currentcolor; position: relative; top: 0.125em; margin-right: 1ch; overflow: visible; }
+.md-alert-text-container::after { content: attr(data-text); text-transform: capitalize; pointer-events: none; margin-right: 1ch; }
+
+</style>
+<style type='text/css'  id="style-codemirror">.CodeMirror { height: auto; }
+.CodeMirror.cm-s-inner { background: inherit; }
+.CodeMirror-scroll { overflow: auto hidden; z-index: 3; }
+.CodeMirror-gutter-filler, .CodeMirror-scrollbar-filler { background-color: rgb(255, 255, 255); }
+.CodeMirror-gutters { border-right: 1px solid rgb(221, 221, 221); background: inherit; white-space: nowrap; }
+.CodeMirror-linenumber { padding: 0px 3px 0px 5px; text-align: right; color: rgb(153, 153, 153); }
+.cm-s-inner .cm-keyword { color: rgb(119, 0, 136); }
+.cm-s-inner .cm-atom, .cm-s-inner.cm-atom { color: rgb(34, 17, 153); }
+.cm-s-inner .cm-number { color: rgb(17, 102, 68); }
+.cm-s-inner .cm-def { color: rgb(0, 0, 255); }
+.cm-s-inner .cm-variable { color: rgb(0, 0, 0); }
+.cm-s-inner .cm-variable-2 { color: rgb(0, 85, 170); }
+.cm-s-inner .cm-variable-3 { color: rgb(0, 136, 85); }
+.cm-s-inner .cm-string { color: rgb(170, 17, 17); }
+.cm-s-inner .cm-property { color: rgb(0, 0, 0); }
+.cm-s-inner .cm-operator { color: rgb(152, 26, 26); }
+.cm-s-inner .cm-comment, .cm-s-inner.cm-comment { color: rgb(170, 85, 0); }
+.cm-s-inner .cm-string-2 { color: rgb(255, 85, 0); }
+.cm-s-inner .cm-meta { color: rgb(85, 85, 85); }
+.cm-s-inner .cm-qualifier { color: rgb(85, 85, 85); }
+.cm-s-inner .cm-builtin { color: rgb(51, 0, 170); }
+.cm-s-inner .cm-bracket { color: rgb(153, 153, 119); }
+.cm-s-inner .cm-tag { color: rgb(17, 119, 0); }
+.cm-s-inner .cm-attribute { color: rgb(0, 0, 204); }
+.cm-s-inner .cm-header, .cm-s-inner.cm-header { color: rgb(0, 0, 255); }
+.cm-s-inner .cm-quote, .cm-s-inner.cm-quote { color: rgb(0, 153, 0); }
+.cm-s-inner .cm-hr, .cm-s-inner.cm-hr { color: rgb(153, 153, 153); }
+.cm-s-inner .cm-link, .cm-s-inner.cm-link { color: rgb(0, 0, 204); }
+.cm-negative { color: rgb(221, 68, 68); }
+.cm-positive { color: rgb(34, 153, 34); }
+.cm-header, .cm-strong { font-weight: 700; }
+.cm-del { text-decoration: line-through; }
+.cm-em { font-style: italic; }
+.cm-link { text-decoration: underline; }
+.cm-error { color: red; }
+.cm-invalidchar { color: red; }
+.cm-constant { color: rgb(38, 139, 210); }
+.cm-defined { color: rgb(181, 137, 0); }
+div.CodeMirror span.CodeMirror-matchingbracket { color: rgb(0, 255, 0); }
+div.CodeMirror span.CodeMirror-nonmatchingbracket { color: rgb(255, 34, 34); }
+.cm-s-inner .CodeMirror-activeline-background { background: inherit; }
+.CodeMirror { position: relative; overflow: hidden; }
+.CodeMirror-scroll { height: 100%; outline: 0px; position: relative; box-sizing: content-box; background: inherit; }
+.CodeMirror-sizer { position: relative; }
+.CodeMirror-gutter-filler, .CodeMirror-hscrollbar, .CodeMirror-scrollbar-filler, .CodeMirror-vscrollbar { position: absolute; z-index: 6; display: none; outline: 0px; }
+.CodeMirror-vscrollbar { right: 0px; top: 0px; overflow: hidden; }
+.CodeMirror-hscrollbar { bottom: 0px; left: 0px; overflow: auto hidden; }
+.CodeMirror-scrollbar-filler { right: 0px; bottom: 0px; }
+.CodeMirror-gutter-filler { left: 0px; bottom: 0px; }
+.CodeMirror-gutters { position: absolute; left: 0px; top: 0px; padding-bottom: 10px; z-index: 3; overflow-y: hidden; }
+.CodeMirror-gutter { white-space: normal; height: 100%; box-sizing: content-box; padding-bottom: 30px; margin-bottom: -32px; display: inline-block; }
+.CodeMirror-gutter-wrapper { position: absolute; z-index: 4; background: 0px 0px !important; border: none !important; }
+.CodeMirror-gutter-background { position: absolute; top: 0px; bottom: 0px; z-index: 4; }
+.CodeMirror-gutter-elt { position: absolute; cursor: default; z-index: 4; }
+.CodeMirror-lines { cursor: text; }
+.CodeMirror pre { border-radius: 0px; border-width: 0px; background: 0px 0px; font-family: inherit; font-size: inherit; margin: 0px; white-space: pre; overflow-wrap: normal; color: inherit; z-index: 2; position: relative; overflow: visible; }
+.CodeMirror-wrap pre { overflow-wrap: break-word; white-space: pre-wrap; word-break: normal; }
+.CodeMirror-code pre { border-right: 30px solid transparent; width: fit-content; }
+.CodeMirror-wrap .CodeMirror-code pre { border-right: none; width: auto; }
+.CodeMirror-linebackground { position: absolute; inset: 0px; z-index: 0; }
+.CodeMirror-linewidget { position: relative; z-index: 2; overflow: auto; }
+.CodeMirror-wrap .CodeMirror-scroll { overflow-x: hidden; }
+.CodeMirror-measure { position: absolute; width: 100%; height: 0px; overflow: hidden; visibility: hidden; }
+.CodeMirror-measure pre { position: static; }
+.CodeMirror div.CodeMirror-cursor { position: absolute; visibility: hidden; border-right: none; width: 0px; }
+.CodeMirror div.CodeMirror-cursor { visibility: hidden; }
+.CodeMirror-focused div.CodeMirror-cursor { visibility: inherit; }
+.cm-searching { background: rgba(255, 255, 0, 0.4); }
+span.cm-underlined { text-decoration: underline; }
+span.cm-strikethrough { text-decoration: line-through; }
+.cm-tw-syntaxerror { color: rgb(255, 255, 255); background-color: rgb(153, 0, 0); }
+.cm-tw-deleted { text-decoration: line-through; }
+.cm-tw-header5 { font-weight: 700; }
+.cm-tw-listitem:first-child { padding-left: 10px; }
+.cm-tw-box { border-style: solid; border-right-width: 1px; border-bottom-width: 1px; border-left-width: 1px; border-color: inherit; border-top-width: 0px !important; }
+.cm-tw-underline { text-decoration: underline; }
+@media print {
+  .CodeMirror div.CodeMirror-cursor { visibility: hidden; }
+}
+
+</style>
+<style type='text/css'  id="style-theme_css">/*
+ * NOTION-STYLE TYPORA THEME - DARK MODE
+ * Copyright (C) 2025 Aditya Kumar Darak
+ * Based on original work by cayxc
+ * Licensed under the Apache License, Version 2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ */
+
+/* =========================================================================
+   Table of Contents
+   =========================================================================
+   1. Theme Tokens
+   2. Base & Layout
+   3. Block Elements
+   4. Code & Syntax
+   5. Inline Elements
+   6. Sidebar & Navigation
+   7. Typora Chrome
+   8. Utilities & Export
+   ========================================================================= */
+
+/* =========================================================================
+   1. Theme Tokens
+   ========================================================================= */
+
+:root {
+
+  /* Colors */
+  --bg-color: rgba(25, 25, 25, 1);
+  --text-color: rgba(212, 212, 212, 1);
+  --accent-color: rgba(156, 166, 168, 1);
+  --accented-background-color: rgba(193, 202, 204, 1);
+  --title-color: rgba(212, 212, 212, 1);
+  --text-grey: rgba(156, 156, 156, 1);
+
+  /* Legacy Typora search highlight token. */
+  --color-2-0-c: rgba(156, 166, 168, 1);
+
+  /* Borders */
+  --border-color: rgba(61, 61, 61, 1);
+
+  /* Links and highlights */
+  --link-color: rgba(127, 179, 255, 1);
+  --link-hover-color: rgba(179, 212, 255, 1);
+  --link-hover-bg: rgba(127, 179, 255, 0.12);
+  --selection-bg: rgba(255, 238, 160, 1);
+  --selection-color: rgba(0, 0, 0, 1);
+  --highlight-bg: rgba(255, 238, 160, 1);
+  --search-highlight-bg: rgba(233, 188, 54, 1);
+
+  /* Headings */
+  --h1-color: rgba(247, 246, 243, 1);
+  --h2-color: rgba(232, 231, 228, 1);
+  --h3-color: rgba(212, 212, 212, 1);
+  --h4-color: rgba(192, 192, 192, 1);
+  --h5-color: rgba(176, 176, 176, 1);
+  --h6-color: rgba(160, 160, 160, 1);
+
+  /* Sidebar */
+  --side-bar-bg-color: rgba(32, 32, 32, 1);
+  --side-bar-border-color: rgba(43, 43, 43, 1);
+  --active-file-bg-color: rgba(44, 44, 44, 1);
+
+  /* Typography */
+  --body-font: -apple-system, BlinkMacSystemFont, "Segoe UI", "Microsoft YaHei",
+    "Noto Sans SC", "Microsoft JhengHei", "Noto Sans TC", "Meiryo", "Yu Gothic",
+    "Noto Sans JP", "Malgun Gothic", "Noto Sans KR", sans-serif;
+  --monospace-font: "Sarasa Mono SC", "Source Han Mono", "Space Mono",
+    "Inconsolata", monospace;
+
+  /* Type scale */
+  --font-size: 16px;
+  --h1-fontsize: 30px;
+  --h2-fontsize: 24px;
+  --h3-fontsize: 20px;
+  --h4-fontsize: 18px;
+  --h5-fontsize: 16px;
+  --h6-fontsize: 16px;
+  --monospace-font-size: 85%;
+
+  /* Line rhythm */
+  --line-height: 1.6;
+  --monospace-line-height: normal;
+  --paragraph-spacing: 19.2px;
+
+  /* Layout */
+  --document-padding-x: 10ch;
+  --vertical-padding: 40px;
+  --main-content-max-width: 90%;
+  --border-radius: 2px;
+  --border-radius-lg: 4px;
+
+  /* Inline code */
+  --code-font: "SFMono-Regular", Consolas, "Liberation Mono", Menlo, Courier, monospace;
+  --code-bg-color: rgba(135, 131, 120, 0.15);
+  --code-color: rgba(235, 87, 87, 1);
+  --code-border-radius: 3px;
+
+  /* Code blocks */
+  --code-block-bg-color: rgba(32, 32, 32, 1);
+  --code-block-font-size: 15.2px;
+  --code-block-line-height: 1.65;
+  --code-tooltip-height: 34px;
+  --code-tooltip-gap: calc(var(--code-tooltip-height) + 5px);
+  --code-tooltip-border-color: rgba(55, 55, 55, 1);
+  --code-border-color: rgba(255, 255, 255, 0.12);
+  --code-border-hover-color: rgba(255, 255, 255, 0.2);
+  --code-selection-bg: rgba(255, 238, 160, 1);
+  --code-selection-color: rgba(0, 0, 0, 1);
+
+  /* Todo checkboxes */
+  --todo-bg-color: rgba(36, 131, 226, 1);
+  --todo-check-color: rgba(255, 255, 255, 1);
+
+  /* File tree */
+  --file-tree-font-size: 12px;
+
+  /* Diagrams */
+  --mermaid-theme: dark;
+
+  /* Performance */
+  --gpu-acceleration: translateZ(0);
+
+  /* Animation */
+  --transition-fast: 0.15s;
+  --transition-normal: 0.2s;
+  --transition-slow: 0.3s;
+  --easing-standard: cubic-bezier(0.4, 0, 0.2, 1);
+  --easing-decelerate: cubic-bezier(0, 0, 0.2, 1);
+  --easing-accelerate: cubic-bezier(0.4, 0, 1, 1);
+}
+
+/* =========================================================================
+   2. Base & Layout
+   ========================================================================= */
+
+/* Document base */
+html {
+  font-size: var(--font-size);
+  background-color: var(--bg-color);
+}
+
+html,
+body {
+  color: var(--text-color);
+  font-family: var(--body-font);
+  line-height: var(--line-height);
+
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  text-rendering: optimizeLegibility;
+}
+
+/* Paragraph rhythm */
+p {
+  margin: var(--paragraph-spacing) 0;
+  line-height: var(--line-height);
+}
+
+h1+p,
+h2+p,
+h3+p,
+h4+p,
+h5+p,
+h6+p {
+  margin-top: 8px;
+}
+
+/* Main document container */
+#write {
+  padding-left: var(--document-padding-x);
+  padding-right: var(--document-padding-x);
+  max-width: var(--main-content-max-width);
+  box-sizing: border-box;
+
+  contain: layout style;
+}
+
+/* Media */
+#write img {
+  border-radius: 8px;
+  max-width: 100%;
+  height: auto;
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+/* Image captions */
+#write .md-image>.md-meta {
+  color: rgba(212, 212, 212, 0.7);
+  font-size: 14px;
+  font-style: italic;
+  margin-top: 8px;
+  text-align: center;
+}
+
+/* =========================================================================
+   3. Block Elements
+   ========================================================================= */
+
+/* Frontmatter (YAML) */
+pre.md-meta-block {
+  background: rgba(32, 32, 32, 1);
+  color: rgba(255, 255, 255, 0.8);
+  padding: 12px;
+  border-radius: 3px;
+  width: 100%;
+  border: 1px solid rgba(255, 255, 255, 0.13);
+  box-shadow: none;
+  font-family: var(--code-font);
+  font-size: var(--monospace-font-size);
+  line-height: 1.5;
+}
+
+pre.md-meta-block .md-meta-i {
+  color: rgba(121, 192, 255, 1);
+  font-weight: 500;
+}
+
+pre.md-meta-block .md-meta-value {
+  color: rgba(126, 231, 135, 1);
+}
+
+/* Headings */
+h1 {
+  margin-top: 48px;
+  margin-bottom: 24px;
+  padding-top: 8px;
+  font-size: var(--h1-fontsize);
+  font-weight: 700;
+  line-height: 1.3;
+  letter-spacing: -0.32px;
+  color: var(--h1-color);
+}
+
+h1:first-child {
+  margin-top: 16px;
+}
+
+h2 {
+  margin-top: 40px;
+  margin-bottom: 19.2px;
+  font-size: var(--h2-fontsize);
+  font-weight: 600;
+  line-height: 1.35;
+  letter-spacing: -0.16px;
+  color: var(--h2-color);
+}
+
+h3 {
+  margin-top: 32px;
+  margin-bottom: 16px;
+  font-size: var(--h3-fontsize);
+  font-weight: 600;
+  line-height: 1.4;
+  letter-spacing: -0.08px;
+  color: var(--h3-color);
+}
+
+h4 {
+  margin-top: 28px;
+  margin-bottom: 12.8px;
+  font-size: var(--h4-fontsize);
+  font-weight: 600;
+  line-height: 1.45;
+  color: var(--h4-color);
+}
+
+h5 {
+  margin-top: 24px;
+  margin-bottom: 9.6px;
+  font-size: var(--h5-fontsize);
+  font-weight: 600;
+  line-height: 1.5;
+  color: var(--h5-color);
+}
+
+h6 {
+  margin-top: 24px;
+  margin-bottom: 9.6px;
+  font-size: var(--h6-fontsize);
+  font-weight: 500;
+  line-height: 1.5;
+  font-style: italic;
+  color: var(--h6-color);
+}
+
+/* Tables */
+#write table {
+  margin: 24px 0;
+  width: auto;
+  max-width: 100%;
+  border-collapse: separate;
+  border-spacing: 0;
+  border: 1px solid var(--border-color);
+  border-radius: 8px;
+  overflow: hidden;
+  box-shadow: 0 1px 3px rgba(0, 0, 0, 0.2);
+}
+
+td,
+th {
+  min-width: 120px;
+  max-width: 560px;
+  width: auto;
+  word-wrap: break-word;
+  white-space: normal;
+  border-right: 1px solid var(--border-color);
+  border-bottom: 1px solid var(--border-color);
+  padding: 12px 16px;
+  font-size: 15.2px;
+}
+
+td:last-child,
+th:last-child {
+  border-right: none;
+}
+
+tbody tr:last-child td {
+  border-bottom: none;
+}
+
+th {
+  background-color: rgba(255, 255, 255, 0.08);
+  font-weight: 600;
+  text-align: left;
+  color: rgba(255, 255, 255, 0.9);
+  font-size: 14.4px;
+  letter-spacing: 0px;
+}
+
+tbody tr:nth-child(even) {
+  background-color: rgba(255, 255, 255, 0.02);
+}
+
+tbody tr {
+  transition: background-color 0.15s ease;
+}
+
+tbody tr:hover {
+  background-color: rgba(255, 255, 255, 0.06);
+}
+
+h2+table tr:first-child th,
+h2+table tr:first-child td {
+  border-top-width: 0;
+}
+
+td[align="center"],
+th[align="center"] {
+  text-align: center;
+}
+
+td[align="right"],
+th[align="right"] {
+  text-align: right;
+}
+
+/* Lists */
+#write ul,
+#write ol {
+  padding-left: 0;
+  margin-left: 0;
+}
+
+#write ul li,
+#write ol li {
+  padding-left: 0;
+  margin-left: 32px;
+}
+
+ol ol {
+  counter-reset: sub-counter;
+  list-style-type: lower-alpha;
+}
+
+ol ol ol {
+  counter-reset: sub-sub-counter;
+  list-style-type: lower-roman;
+}
+
+#write ul>li::marker {
+  color: var(--accent-color);
+  font-weight: 600;
+}
+
+#write ol>li::marker {
+  color: var(--accent-color);
+  font-weight: 600;
+  font-size: 15.2px;
+}
+
+#write ul ul>li::marker,
+#write ol ol>li::marker {
+  color: rgba(156, 166, 168, 0.7);
+}
+
+#write ul ul ul>li::marker,
+#write ol ol ol>li::marker {
+  color: rgba(156, 166, 168, 0.5);
+}
+
+li p {
+  margin: 0;
+}
+
+/* Task list checkboxes */
+#write .md-task-list-item>input {
+  appearance: none;
+  -webkit-appearance: none;
+  display: inline-block;
+  vertical-align: middle;
+  position: absolute;
+  border: 2px solid rgba(212, 212, 212, 0.4);
+  margin: 3.2px 0 0 -23.2px;
+  height: 16px;
+  width: 16px;
+  border-radius: 3px;
+  background-color: rgba(0, 0, 0, 0);
+  cursor: pointer;
+  transition: all 0.2s cubic-bezier(0.4, 0, 0.2, 1);
+}
+
+#write .md-task-list-item>input:hover {
+  border-color: var(--todo-bg-color);
+  background-color: rgba(36, 131, 226, 0.1);
+  transform: scale(1.05) var(--gpu-acceleration);
+}
+
+#write .md-task-list-item>input:focus {
+  outline: 2px solid var(--todo-bg-color);
+  outline-offset: 2px;
+  box-shadow: 0 0 0 3px rgba(36, 131, 226, 0.1);
+}
+
+#write .md-task-list-item>input[checked] {
+  background: var(--todo-bg-color);
+  border: 2px solid var(--todo-bg-color);
+  animation: checkboxPop 0.2s ease-out;
+}
+
+@keyframes checkboxPop {
+  0% {
+    transform: scale(1);
+  }
+
+  50% {
+    transform: scale(1.15);
+  }
+
+  100% {
+    transform: scale(1);
+  }
+}
+
+#write .md-task-list-item>input[checked]::before {
+  content: "";
+  display: block;
+  width: 5.6px;
+  height: 9.6px;
+  background: rgba(0, 0, 0, 0);
+  border: 2px solid var(--todo-check-color);
+  border-top: none;
+  border-left: none;
+  position: absolute;
+  box-sizing: border-box;
+  top: 42%;
+  left: 50%;
+  transform: translate(-50%, -50%) rotate(45deg);
+  animation: checkmarkDraw 0.2s ease-out 0.1s both;
+}
+
+@keyframes checkmarkDraw {
+  0% {
+    height: 0;
+    width: 0;
+  }
+
+  50% {
+    height: 9.6px;
+    width: 0;
+  }
+
+  100% {
+    height: 9.6px;
+    width: 5.6px;
+  }
+}
+
+#write .md-task-list-item>input[checked]+label,
+#write .md-task-list-item.task-list-done {
+  color: rgba(156, 156, 156, 0.7);
+  text-decoration: line-through;
+  text-decoration-color: rgba(156, 156, 156, 0.5);
+  transition: all 0.2s ease;
+}
+
+.md-image>.md-meta {
+  border-radius: var(--border-radius);
+  padding: 2px 0px 0px 4px;
+  font-size: 14.4px;
+  color: inherit;
+}
+
+/* Blockquotes and Callouts */
+#write blockquote {
+  margin: 24px 0;
+  padding: 16px 20px 16px 48px;
+  position: relative;
+  border-left: 3px solid var(--accent-color);
+  background-color: rgba(45, 45, 45, 0.4);
+  border-radius: 5px;
+  font-style: italic;
+  color: rgba(212, 212, 212, 0.9);
+  box-shadow: 0 1px 3px rgba(0, 0, 0, 0.2);
+}
+
+#write blockquote::before {
+  content: '"';
+  position: absolute;
+  left: 12px;
+  top: 8px;
+  font-size: 40px;
+  line-height: 1;
+  color: var(--accent-color);
+  opacity: 0.3;
+  font-family: Georgia, serif;
+}
+
+#write blockquote p:first-child {
+  margin-top: 0;
+}
+
+#write blockquote p:last-child {
+  margin-bottom: 0;
+}
+
+.md-alert,
+.admonition {
+  background-color: rgba(45, 45, 45, 0.4);
+  border-left: 3px solid var(--accent-color);
+  padding: 16px 20px 16px 48px;
+  margin: 24px 0;
+  border-radius: 5px;
+  box-shadow: 0 1px 3px rgba(0, 0, 0, 0.2);
+  position: relative;
+}
+
+.md-alert::before,
+.admonition::before {
+  content: 'i';
+  position: absolute;
+  left: 14px;
+  top: 14px;
+  font-size: 24px;
+  line-height: 1;
+  color: var(--accent-color);
+  opacity: 0.4;
+  font-family: Georgia, serif;
+  font-style: italic;
+}
+
+.md-alert-note::before {
+  content: 'i';
+}
+
+.md-alert-tip::before {
+  content: '*';
+  font-style: normal;
+}
+
+.md-alert-important::before {
+  content: '!';
+}
+
+.md-alert-warning::before {
+  content: '‼';
+  font-style: normal;
+}
+
+.md-alert-caution::before {
+  content: '×';
+  font-style: normal;
+}
+
+.md-alert-text-container,
+.md-alert-title {
+  display: none;
+  height: 0;
+  margin: 0;
+  padding: 0;
+  line-height: 0;
+}
+
+.md-alert p,
+.admonition p {
+  margin: 0;
+}
+
+/* Math blocks */
+.md-math-block:hover .md-math-container,
+.md-math-block:hover .md-rawblock-tooltip,
+.md-htmlblock:hover .md-htmlblock-container,
+.md-htmlblock:hover .md-rawblock-tooltip,
+.md-rawblock-on-edit:hover .md-rawblock-tooltip,
+.md-rawblock-on-edit .md-mathblock-panel,
+.md-rawblock-after,
+.md-rawblock-before,
+.md-rawblock-control:not(.md-rawblock-tooltip) {
+  background: var(--code-block-bg-color);
+}
+
+.md-rawblock-tooltip {
+  pointer-events: none;
+  background: var(--code-block-bg-color) !important;
+}
+
+.md-rawblock .md-rawblock-tooltip-edit-btn:hover {
+  background: rgba(0, 0, 0, 0);
+}
+
+/* Horizontal rules */
+#write hr {
+  border: none;
+  height: 1px;
+  background-color: var(--border-color);
+  margin: 48px 0;
+}
+
+/* =========================================================================
+   4. Code & Syntax
+   ========================================================================= */
+
+/* Search highlight animation */
+@keyframes pulse {
+  0% {
+    transform: scale(1);
+  }
+
+  50% {
+    transform: scale(1.2);
+  }
+
+  100% {
+    transform: scale(1);
+  }
+}
+
+.md-search-hit,
+.md-search-select {
+  display: inline-block !important;
+  border-radius: 8px !important;
+  padding: 0.8px 1.6px !important;
+}
+
+.md-search-hit {
+  color: var(--text-color) !important;
+}
+
+.md-search-select {
+  background: var(--search-highlight-bg) !important;
+  color: rgba(55, 53, 47, 1) !important;
+  transform-origin: center center !important;
+  animation: pulse 0.3s ease-in-out !important;
+}
+
+pre {
+  --monospace: "Cascadia Code Variable", SFMono-Regular, Menlo, Consolas,
+    "PT Mono", "Liberation Mono";
+}
+
+/* Code fences */
+.md-fences {
+  position: relative;
+  margin: 20px 0 51.2px 0;
+  background: var(--code-block-bg-color);
+  border: 1px solid var(--code-border-color);
+  border-radius: 6px;
+  overflow: visible;
+  padding: 0;
+  font-size: var(--code-block-font-size);
+  transition: border-color 0.2s ease, box-shadow 0.2s ease, filter 0.2s ease;
+
+  contain: layout style;
+  will-change: border-color, box-shadow;
+}
+
+#write .cm-s-inner,
+.cm-s-typora-default {
+  background: rgba(0, 0, 0, 0);
+  border-radius: 0;
+  padding: 20px 24px;
+  font-size: var(--code-block-font-size);
+  line-height: var(--code-block-line-height);
+  font-family: var(--monospace-font);
+  border: none;
+}
+
+#write .md-fences :is(pre, code),
+.cm-s-typora-default :is(pre, code) {
+  font-family: var(--monospace-font);
+  font-size: var(--code-block-font-size);
+  line-height: var(--code-block-line-height);
+  background: rgba(0, 0, 0, 0);
+}
+
+#write .md-fences pre,
+.cm-s-typora-default pre {
+  margin: 0;
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+#write .md-fences code,
+.cm-s-typora-default code {
+  display: block;
+  white-space: pre-wrap;
+  word-wrap: break-word;
+  word-break: break-word;
+}
+
+/* WYSIWYG mode hides gutters and line numbers. */
+#write .cm-s-inner .CodeMirror-gutters {
+  width: 0;
+  opacity: 0;
+  pointer-events: none;
+}
+
+#write .cm-s-inner .CodeMirror-linenumber {
+  opacity: 0;
+}
+
+/* Source mode shows gutters and line numbers. */
+.cm-s-typora-default .CodeMirror-gutters {
+  width: auto;
+  opacity: 1;
+  pointer-events: auto;
+}
+
+.cm-s-typora-default .CodeMirror-linenumber {
+  opacity: 1;
+  color: rgba(106, 214, 154, 1);
+  padding-right: 12px;
+}
+
+.cm-s-typora-default .CodeMirror-line {
+  padding-left: 6px;
+}
+
+#write .cm-s-inner .CodeMirror-cursor,
+.cm-s-typora-default .CodeMirror-cursor {
+  border-left: 2px solid rgba(121, 192, 255, 1);
+}
+
+.cm-s-inner,
+.cm-s-typora-default {
+  color: rgba(230, 237, 243, 1);
+}
+
+/* CodeMirror token colors. */
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-keyword, .cm-builtin) {
+  color: rgba(255, 123, 114, 1);
+  font-weight: 600;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-def {
+  color: rgba(210, 168, 255, 1);
+  font-weight: 600;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-variable, .cm-variable-2, .cm-variable-3) {
+  color: rgba(255, 166, 87, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-number, .cm-atom) {
+  color: rgba(121, 192, 255, 1);
+  font-weight: 500;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-string, .cm-string-2) {
+  color: rgba(165, 214, 255, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-comment {
+  color: rgba(139, 148, 158, 1);
+  font-style: italic;
+  opacity: 0.9;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-operator {
+  color: rgba(255, 123, 114, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-property, .cm-attribute) {
+  color: rgba(121, 192, 255, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-type, .cm-tag) {
+  color: rgba(126, 231, 135, 1);
+  font-weight: 500;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-meta {
+  color: rgba(210, 168, 255, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-qualifier {
+  color: rgba(255, 166, 87, 1);
+  font-weight: 500;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-bracket {
+  color: rgba(201, 209, 217, 1);
+  font-weight: 600;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-error, .cm-invalidchar) {
+  color: rgba(248, 81, 73, 1);
+  text-decoration: wavy underline;
+  text-decoration-color: rgba(248, 81, 73, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-header {
+  color: rgba(121, 192, 255, 1);
+  font-weight: 600;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-special {
+  color: rgba(210, 168, 255, 1);
+}
+
+/* Code block toolbar. */
+.md-fences .code-tooltip {
+  background-color: rgba(0, 0, 0, 0);
+  border-radius: 0;
+  padding: 0;
+  height: var(--code-tooltip-height);
+  display: flex;
+  align-items: center;
+  border: none;
+  box-shadow: none;
+  backdrop-filter: none;
+  opacity: 1;
+  transition: opacity 0.2s ease;
+  position: absolute;
+  bottom: calc(-1 * var(--code-tooltip-gap));
+  right: -5px;
+  top: auto;
+}
+
+#write .md-diagram-panel {
+  margin-top: calc(var(--code-tooltip-gap) + 5px);
+  margin-bottom: 59.2px;
+}
+
+/* Typora lacks :has; position tooltip below diagram fences. */
+#write .md-fences:is([lang="mermaid"],
+  [lang="flowchart"],
+  [lang="sequence"],
+  [lang="gantt"],
+  [lang="classDiagram"],
+  [lang="stateDiagram"],
+  [lang="erDiagram"],
+  [lang="journey"],
+  [lang="pie"],
+  [lang="gitGraph"],
+  [lang="mindmap"],
+  [lang="timeline"],
+  [lang="js-sequence-diagram"],
+  [lang="flow"]) .code-tooltip {
+  right: -5px;
+  bottom: auto;
+  top: 100%;
+  margin-top: 5px;
+}
+
+.md-fences .code-tooltip :is(input, span) {
+  padding: 6px 10px;
+  border-radius: 5px;
+  margin: 0 3px;
+  font-size: 13.6px;
+  font-weight: 500;
+  transition: all 0.2s ease;
+}
+
+.md-fences .code-tooltip input {
+  background-color: rgba(0, 0, 0, 0);
+  border: 1px solid rgba(0, 0, 0, 0);
+  color: rgba(255, 255, 255, 0.6);
+}
+
+.md-fences .code-tooltip input:hover,
+.md-fences .code-tooltip input:focus {
+  background-color: rgba(255, 255, 255, 0.05);
+  border-color: rgba(255, 255, 255, 0.2);
+  color: rgba(255, 255, 255, 0.9);
+}
+
+.md-fences .code-tooltip span {
+  cursor: pointer;
+  color: rgba(255, 255, 255, 0.7);
+  background-color: rgba(255, 255, 255, 0.08);
+  border: 1px solid rgba(255, 255, 255, 0.15);
+  font-weight: 500;
+}
+
+.md-fences .code-tooltip span:hover {
+  background-color: rgba(255, 255, 255, 0.15);
+  color: rgba(255, 255, 255, 1);
+  border-color: rgba(255, 255, 255, 0.25);
+  transform: translateY(-1px);
+}
+
+.md-fences .code-tooltip span:active {
+  transform: translateY(0);
+}
+
+/* Autocomplete dropdown. */
+.autoComplt-list {
+  width: 20ch !important;
+  border-radius: 6px !important;
+  background-color: rgba(43, 43, 43, 1) !important;
+  border: 1px solid var(--border-color) !important;
+  box-shadow: 0 4px 12px rgba(0, 0, 0, 0.6);
+  overflow: hidden;
+}
+
+.autoComplt-hint {
+  background-color: rgba(0, 0, 0, 0) !important;
+  margin: 0 !important;
+  padding: 4px 12px !important;
+  color: var(--text-color) !important;
+  line-height: var(--line-height) !important;
+  height: auto !important;
+  cursor: pointer;
+  transition: background-color 0.15s ease;
+}
+
+.autoComplt-hint-selected {
+  background-color: rgba(61, 61, 61, 1) !important;
+  color: rgba(121, 192, 255, 1) !important;
+}
+
+/* =========================================================================
+   5. Inline Elements
+   ========================================================================= */
+
+/* Inline code. */
+code {
+  font-family: var(--code-font);
+  font-size: var(--monospace-font-size);
+  line-height: var(--monospace-line-height);
+  color: var(--code-color);
+  background-color: var(--code-bg-color);
+  padding: 3.2px 6.4px;
+  border-radius: var(--code-border-radius);
+  border: none;
+  font-weight: 400;
+}
+
+/* Links. */
+#write a {
+  text-decoration: none;
+  color: var(--link-color);
+  border-bottom: 1px solid rgba(0, 0, 0, 0);
+  padding: 0 2px;
+  margin: 0 -2px;
+  border-radius: 2px;
+  transition: color 0.2s ease, background-color 0.2s ease, border-color 0.2s ease;
+}
+
+#write a:hover {
+  color: var(--link-hover-color);
+  background-color: var(--link-hover-bg);
+  border-bottom-color: var(--link-hover-color);
+}
+
+#write a:focus {
+  outline: 2px solid var(--link-hover-color);
+  outline-offset: 2px;
+  background-color: var(--link-hover-bg);
+}
+
+#write a:active {
+  transform: translateY(1px) var(--gpu-acceleration);
+}
+
+/* Selection and marks. */
+::selection {
+  background-color: var(--selection-bg);
+  color: var(--selection-color);
+}
+
+.cm-s-inner .CodeMirror-selected,
+.cm-s-typora-default .CodeMirror-selected {
+  background: rgba(0, 0, 0, 0) !important;
+}
+
+.cm-s-inner .CodeMirror-selectedtext,
+.cm-s-typora-default .CodeMirror-selectedtext {
+  background: var(--code-selection-bg) !important;
+  color: var(--code-selection-color) !important;
+}
+
+mark {
+  background-color: var(--highlight-bg);
+  color: rgba(55, 53, 47, 1);
+  padding: 2px 0;
+  border-radius: 0;
+}
+
+mark.yellow,
+mark {
+  background-color: rgba(255, 238, 160, 1);
+  color: rgba(55, 53, 47, 1);
+}
+
+mark.red {
+  background-color: rgba(90, 44, 44, 1);
+  color: rgba(255, 184, 177, 1);
+}
+
+mark.blue {
+  background-color: rgba(43, 66, 87, 1);
+  color: rgba(156, 199, 232, 1);
+}
+
+mark.green {
+  background-color: rgba(43, 74, 63, 1);
+  color: rgba(147, 225, 200, 1);
+}
+
+mark.orange {
+  background-color: rgba(89, 74, 58, 1);
+  color: rgba(255, 204, 153, 1);
+}
+
+mark.purple {
+  background-color: rgba(68, 63, 87, 1);
+  color: rgba(212, 197, 249, 1);
+}
+
+mark.pink {
+  background-color: rgba(83, 59, 71, 1);
+  color: rgba(255, 184, 210, 1);
+}
+
+mark.brown {
+  background-color: rgba(67, 64, 64, 1);
+  color: rgba(212, 196, 176, 1);
+}
+
+mark.gray {
+  background-color: rgba(58, 58, 58, 1);
+  color: rgba(193, 193, 193, 1);
+}
+
+@media (prefers-reduced-motion: reduce) {
+
+  *,
+  *::before,
+  *::after {
+    animation-duration: 0.01ms !important;
+    animation-iteration-count: 1 !important;
+    transition-duration: 0.01ms !important;
+    scroll-behavior: auto !important;
+  }
+}
+
+/* =========================================================================
+   6. Sidebar & Navigation
+   ========================================================================= */
+
+/* Table of contents. */
+#write div.md-toc-tooltip {
+  background-color: var(--bg-color);
+}
+
+.md-toc {
+  margin-top: 40px;
+}
+
+.md-toc .md-toc-h2 {
+  margin-left: 16px;
+}
+
+.md-toc .md-toc-h3 {
+  margin-left: 32px;
+}
+
+.md-toc .md-toc-h4 {
+  margin-left: 48px;
+}
+
+.md-toc .md-toc-h5 {
+  margin-left: 64px;
+}
+
+.md-toc .md-toc-h6 {
+  margin-left: 80px;
+}
+
+.sidebar-footer {
+  border-top: 1px solid var(--side-bar-border-color);
+}
+
+.pin-outline #typora-sidebar {
+  box-shadow: none;
+  border-right: 1px solid var(--side-bar-border-color);
+}
+
+.sidebar-tabs {
+  border-bottom: 1px solid var(--side-bar-border-color) !important;
+}
+
+/* Outline tree. */
+.outline-content {
+  padding: 16px;
+  font-size: 14px !important;
+}
+
+.outline-content li {
+  position: relative;
+  z-index: 30;
+  line-height: 1.3 !important;
+  margin-bottom: 0;
+}
+
+.outline-content li::before {
+  content: "";
+  width: 1px;
+  height: calc(100% + 5px);
+  position: absolute;
+  z-index: 30;
+  left: 0;
+  top: 0;
+  border-left: 1px solid var(--border-color);
+}
+
+.outline-content>li:first-of-type::before {
+  top: 0;
+}
+
+.outline-content li a {
+  font-size: 14px !important;
+}
+
+.outline-content li ul {
+  margin-left: 20px;
+  margin-top: 0 !important;
+  position: relative;
+  z-index: 48;
+}
+
+.outline-content ul li::before {
+  content: "";
+  width: 1px;
+  height: calc(100% + 10px);
+  top: -10px;
+  border-left: 1px solid var(--border-color);
+}
+
+.outline-content ul>li:last-of-type::before {
+  content: "";
+  width: 1px;
+  height: 10px;
+  top: -10px;
+  left: 0;
+  border-left: 1px solid var(--border-color);
+}
+
+.outline-content li .outline-item {
+  margin: 0 0 3px 7px;
+  padding: 4px 8px;
+  position: relative;
+  z-index: 50;
+  border-radius: 5px;
+  border: 1px solid rgba(0, 0, 0, 0);
+}
+
+.outline-item>.outline-label {
+  text-decoration: none;
+}
+
+.outline-content li .outline-item:hover,
+.outline-content li .outline-item-active {
+  z-index: 70;
+}
+
+.outline-content li .outline-item::before {
+  content: "";
+  width: 12px;
+  height: calc(50% + 12px);
+  position: absolute;
+  z-index: 38;
+  left: -8px;
+  top: -11.5px;
+  background: rgba(0, 0, 0, 0);
+  border-left: 1px solid var(--border-color);
+  border-bottom: 1px solid var(--border-color);
+}
+
+.outline-content>li:first-of-type>.outline-item::before {
+  top: calc(50% - 1px) !important;
+  border-top: 1px solid var(--border-color);
+  border-bottom: none;
+  border-top-left-radius: 3px;
+  -webkit-border-top-left-radius: 3px;
+  border-bottom-left-radius: 0;
+  -webkit-border-bottom-left-radius: 0;
+}
+
+.outline-content>li:first-of-type>.outline-item::after {
+  content: "";
+  width: 1px;
+  height: 100%;
+  position: absolute;
+  z-index: 35;
+  left: -8px;
+  top: -2px;
+  border-left: 1px solid var(--bg-color);
+}
+
+.outline-content>li:last-of-type>.outline-item::before,
+.outline-content>li ul>li:last-of-type>.outline-item::before {
+  z-index: 90;
+  background: rgba(0, 0, 0, 0);
+  border-left: 1px solid var(--border-color);
+  border-bottom: 1px solid var(--border-color);
+  border-top: none !important;
+  border-bottom-left-radius: 3px;
+  -webkit-border-bottom-left-radius: 3px;
+  border-top-left-radius: 0;
+  -webkit-border-top-left-radius: 0;
+}
+
+.outline-content>li:only-of-type>.outline-item::before,
+.outline-content>li:last-of-type::before {
+  display: none;
+}
+
+.outline-content>li:only-of-type {
+  margin-left: -6px;
+}
+
+.outline-expander {
+  padding-left: 0;
+  width: auto;
+  height: 8px;
+  background: rgba(0, 0, 0, 0);
+}
+
+.outline-expander:before {
+  font-size: 10px;
+  padding: 0 4px 0 2px;
+  margin-top: -2px;
+  margin-left: -2px;
+  background: rgba(0, 0, 0, 0);
+}
+
+.outline-item:hover,
+.outline-item:hover>.outline-expander:before,
+.outline-item:hover>.outline-expander {
+  background: var(--active-file-bg-color) !important;
+  color: var(--text-color) !important;
+}
+
+li>.outline-item-active {
+  background: var(--active-file-bg-color);
+}
+
+.outline-item:hover::before,
+.outline-item-active::before {
+  width: 7px !important;
+}
+
+.outline-item-active .outline-expander {
+  font-weight: 900 !important;
+}
+
+.ty-on-outline-filter .outline-content li::before,
+.ty-on-outline-filter .outline-content .outline-item::before,
+.ty-on-outline-filter .outline-content .outline-item::after {
+  display: none;
+}
+
+.ty-on-outline-filter .outline-content>li>ul,
+.ty-on-outline-filter .outline-content .outline-item {
+  margin-left: 0;
+}
+
+/* =========================================================================
+   7. Typora Chrome
+   ========================================================================= */
+
+/* File library list and search. */
+#file-library-list,
+#file-library-search-result {
+  padding: 12px;
+}
+
+#file-library-list .file-list-item,
+#file-library-search-result .ty-search-item {
+  margin-bottom: 8px;
+  border: 1px solid rgba(0, 0, 0, 0);
+  border-bottom-color: var(--border-color);
+}
+
+#file-library-list .file-list-item {
+  padding-left: 12px;
+  padding-right: 12px;
+}
+
+#file-library-list .file-list-item.active,
+#file-library-search-result .ty-search-item.active {
+  border-radius: 5px;
+  border: 1px solid var(--text-color);
+}
+
+#file-library-list .file-list-item.active {
+  padding: 6px 12px;
+}
+
+#file-library-search-result .ty-search-item.active {
+  padding: 6px 12px 6px 0;
+}
+
+#file-library-list .file-list-item:first-of-type.active,
+#file-library-search-result .ty-search-item:first-of-type.active {
+  margin-top: 0;
+}
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+#file-library-search-result .ty-search-item:hover {
+  border-radius: 5px;
+  background: var(--active-file-bg-color);
+  border-color: var(--border-color);
+}
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+#file-library-search-result .ty-search-item.active {
+  color: var(--text-color);
+}
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+  word-break: break-word;
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+  border-radius: 3px;
+}
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+  padding-right: 0;
+}
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+#sidebar-loading-template {
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+  border-radius: 5px;
+  margin-bottom: 5px;
+  display: none;
+}
+
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+  background-color: var(--color-2-0-c);
+}
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+  padding-left: 13.7136px;
+  padding-right: 13.7136px;
+  box-sizing: border-box;
+  font-size: var(--file-tree-font-size);
+}
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+  line-height: 22.8576px !important;
+  vertical-align: text-top;
+  margin-top: 13.7136px !important;
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+<title>01_data_loading</title>
+</head>
+<body class='typora-export os-windows typora-export-show-outline typora-export-no-collapse-outline'><div class='typora-export-content'>
+<div class="typora-export-sidebar"><div class="outline-content"><li class="outline-item-wrapper outline-h1"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#01---mnist-data-loading--duckdb-storage">01 - MNIST Data Loading &amp; DuckDB Storage</a></div><ul class="outline-children"><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#load-mnist-idx-files">Load MNIST IDX Files</a></div><ul class="outline-children"></ul></li><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#store-in-duckdb">Store in DuckDB</a></div><ul class="outline-children"></ul></li><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#explore-with-sql">Explore with SQL</a></div><ul class="outline-children"></ul></li><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#visualize-sample-digits">Visualize Sample Digits</a></div><ul class="outline-children"></ul></li></ul></li></div></div><div id='write'  class=''><h1 id='01---mnist-data-loading--duckdb-storage'><span>01 - MNIST Data Loading &amp; DuckDB Storage</span></h1><p><span>This notebook:</span></p><ol start='' ><li><p><span>Reads raw MNIST IDX binary files</span></p></li><li><p><span>Stores them in DuckDB for fast SQL-based exploration</span></p></li><li><p><span>Visualizes sample digits</span></p></li></ol><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">numpy</span> <span class="cm-keyword">as</span> <span class="cm-variable">np</span></span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">pandas</span> <span class="cm-keyword">as</span> <span class="cm-variable">pd</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">duckdb</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">struct</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">matplotlib</span>.<span class="cm-property">pyplot</span> <span class="cm-keyword">as</span> <span class="cm-variable">plt</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">from</span> <span class="cm-variable">pathlib</span> <span class="cm-keyword">import</span> <span class="cm-variable">Path</span></span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 150px;"></div><div class="CodeMirror-gutters" style="display: none; height: 150px;"></div></div></div></pre><h2 id='load-mnist-idx-files'><span>Load MNIST IDX Files</span></h2><p><span>The IDX format stores images as raw bytes with a header containing dimensions.</span></p><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python" style="break-inside: unset;"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">def</span> <span class="cm-def">read_idx_images</span>(<span class="cm-variable">path</span>):</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-keyword">with</span> <span class="cm-builtin">open</span>(<span class="cm-variable">path</span>, <span class="cm-string">'rb'</span>) <span class="cm-keyword">as</span> <span class="cm-variable">f</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">magic</span>, <span class="cm-variable">n</span>, <span class="cm-variable">rows</span>, <span class="cm-variable">cols</span> <span class="cm-operator">=</span> <span class="cm-variable">struct</span>.<span class="cm-property">unpack</span>(<span class="cm-string">'&gt;IIII'</span>, <span class="cm-variable">f</span>.<span class="cm-property">read</span>(<span class="cm-number">16</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-keyword">return</span> <span class="cm-variable">np</span>.<span class="cm-property">frombuffer</span>(<span class="cm-variable">f</span>.<span class="cm-property">read</span>(), <span class="cm-variable">dtype</span><span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">uint8</span>).<span class="cm-property">reshape</span>(<span class="cm-variable">n</span>, <span class="cm-variable">rows</span> <span class="cm-operator">*</span> <span class="cm-variable">cols</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">def</span> <span class="cm-def">read_idx_labels</span>(<span class="cm-variable">path</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-keyword">with</span> <span class="cm-builtin">open</span>(<span class="cm-variable">path</span>, <span class="cm-string">'rb'</span>) <span class="cm-keyword">as</span> <span class="cm-variable">f</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">magic</span>, <span class="cm-variable">n</span> <span class="cm-operator">=</span> <span class="cm-variable">struct</span>.<span class="cm-property">unpack</span>(<span class="cm-string">'&gt;II'</span>, <span class="cm-variable">f</span>.<span class="cm-property">read</span>(<span class="cm-number">8</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-keyword">return</span> <span class="cm-variable">np</span>.<span class="cm-property">frombuffer</span>(<span class="cm-variable">f</span>.<span class="cm-property">read</span>(), <span class="cm-variable">dtype</span><span class="cm-operator">=</span><span class="cm-variable">np</span>.<span class="cm-property">uint8</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">data_dir</span> <span class="cm-operator">=</span> <span class="cm-variable">Path</span>(<span class="cm-string">'../data'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">train_images</span> <span class="cm-operator">=</span> <span class="cm-variable">read_idx_images</span>(<span class="cm-variable">data_dir</span> <span class="cm-operator">/</span> <span class="cm-string">'train-images.idx3-ubyte'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">train_labels</span> <span class="cm-operator">=</span> <span class="cm-variable">read_idx_labels</span>(<span class="cm-variable">data_dir</span> <span class="cm-operator">/</span> <span class="cm-string">'train-labels.idx1-ubyte'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">test_images</span> <span class="cm-operator">=</span> <span class="cm-variable">read_idx_images</span>(<span class="cm-variable">data_dir</span> <span class="cm-operator">/</span> <span class="cm-string">'t10k-images.idx3-ubyte'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">test_labels</span> <span class="cm-operator">=</span> <span class="cm-variable">read_idx_labels</span>(<span class="cm-variable">data_dir</span> <span class="cm-operator">/</span> <span class="cm-string">'t10k-labels.idx1-ubyte'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-builtin">print</span>(<span class="cm-string">f'Train: </span>{<span class="cm-variable">train_images</span>.<span class="cm-property">shape</span>[<span class="cm-number">0</span>]}<span class="cm-string"> images, </span>{<span class="cm-variable">train_images</span>.<span class="cm-property">shape</span>[<span class="cm-number">1</span>]}<span class="cm-string"> pixels each'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-builtin">print</span>(<span class="cm-string">f'Test: &nbsp;</span>{<span class="cm-variable">test_images</span>.<span class="cm-property">shape</span>[<span class="cm-number">0</span>]}<span class="cm-string"> images'</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 451px;"></div><div class="CodeMirror-gutters" style="display: none; height: 451px;"></div></div></div></pre><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang=""><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang=""><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Train: 60000 images, 784 pixels each</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Test:  10000 images</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 50px;"></div><div class="CodeMirror-gutters" style="display: none; height: 50px;"></div></div></div></pre><h2 id='store-in-duckdb'><span>Store in DuckDB</span></h2><p><span>We store pixel data as a flat array (784 columns for 28x28) plus the label. This lets us query and filter with SQL.</span></p><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python" style="break-inside: unset;"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">db_path</span> <span class="cm-operator">=</span> <span class="cm-builtin">str</span>(<span class="cm-variable">data_dir</span> <span class="cm-operator">/</span> <span class="cm-string">'mnist.duckdb'</span>)</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span> <span class="cm-operator">=</span> <span class="cm-variable">duckdb</span>.<span class="cm-property">connect</span>(<span class="cm-variable">db_path</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-comment"># Create train table</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">train_df</span> <span class="cm-operator">=</span> <span class="cm-variable">pd</span>.<span class="cm-property">DataFrame</span>(<span class="cm-variable">train_images</span>, <span class="cm-variable">columns</span><span class="cm-operator">=</span>[<span class="cm-string">f'px</span>{<span class="cm-variable">i</span>}<span class="cm-string">'</span> <span class="cm-keyword">for</span> <span class="cm-variable">i</span> <span class="cm-keyword">in</span> <span class="cm-builtin">range</span>(<span class="cm-number">784</span>)])</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">train_df</span>[<span class="cm-string">'label'</span>] <span class="cm-operator">=</span> <span class="cm-variable">train_labels</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">train_df</span>[<span class="cm-string">'split'</span>] <span class="cm-operator">=</span> <span class="cm-string">'train'</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-comment"># Create test table</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">test_df</span> <span class="cm-operator">=</span> <span class="cm-variable">pd</span>.<span class="cm-property">DataFrame</span>(<span class="cm-variable">test_images</span>, <span class="cm-variable">columns</span><span class="cm-operator">=</span>[<span class="cm-string">f'px</span>{<span class="cm-variable">i</span>}<span class="cm-string">'</span> <span class="cm-keyword">for</span> <span class="cm-variable">i</span> <span class="cm-keyword">in</span> <span class="cm-builtin">range</span>(<span class="cm-number">784</span>)])</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">test_df</span>[<span class="cm-string">'label'</span>] <span class="cm-operator">=</span> <span class="cm-variable">test_labels</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">test_df</span>[<span class="cm-string">'split'</span>] <span class="cm-operator">=</span> <span class="cm-string">'test'</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-comment"># Combine and write</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">all_df</span> <span class="cm-operator">=</span> <span class="cm-variable">pd</span>.<span class="cm-property">concat</span>([<span class="cm-variable">train_df</span>, <span class="cm-variable">test_df</span>], <span class="cm-variable">ignore_index</span><span class="cm-operator">=</span><span class="cm-keyword">True</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span>.<span class="cm-property">execute</span>(<span class="cm-string">'DROP TABLE IF EXISTS mnist'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span>.<span class="cm-property">execute</span>(<span class="cm-string">'CREATE TABLE mnist AS SELECT * FROM all_df'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-builtin">print</span>(<span class="cm-string">f'Stored </span>{<span class="cm-builtin">len</span>(<span class="cm-variable">all_df</span>)}<span class="cm-string"> records in DuckDB'</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 451px;"></div><div class="CodeMirror-gutters" style="display: none; height: 451px;"></div></div></div></pre><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang=""><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang=""><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Stored 70000 records in DuckDB</span></pre></div></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 25px;"></div><div class="CodeMirror-gutters" style="display: none; height: 25px;"></div></div></div></pre><h2 id='explore-with-sql'><span>Explore with SQL</span></h2><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-comment"># Label distribution</span></span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span>.<span class="cm-property">execute</span>(<span class="cm-string">"""</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string"> &nbsp;  SELECT label, split, COUNT(*) as count</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string"> &nbsp;  FROM mnist</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string"> &nbsp;  GROUP BY label, split</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string"> &nbsp;  ORDER BY label, split</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string">"""</span>).<span class="cm-property">df</span>()</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 176px;"></div><div class="CodeMirror-gutters" style="display: none; height: 176px;"></div></div></div></pre><p>&nbsp;</p><figure class='table-figure'><table><thead><tr><th>&nbsp;</th><th><span>label</span></th><th><span>split</span></th><th><span>count</span></th></tr></thead><tbody><tr><td><span>0</span></td><td><span>0</span></td><td><span>test</span></td><td><span>980</span></td></tr><tr><td><span>1</span></td><td><span>0</span></td><td><span>train</span></td><td><span>5923</span></td></tr><tr><td><span>2</span></td><td><span>1</span></td><td><span>test</span></td><td><span>1135</span></td></tr><tr><td><span>3</span></td><td><span>1</span></td><td><span>train</span></td><td><span>6742</span></td></tr><tr><td><span>4</span></td><td><span>2</span></td><td><span>test</span></td><td><span>1032</span></td></tr><tr><td><span>5</span></td><td><span>2</span></td><td><span>train</span></td><td><span>5958</span></td></tr><tr><td><span>6</span></td><td><span>3</span></td><td><span>test</span></td><td><span>1010</span></td></tr><tr><td><span>7</span></td><td><span>3</span></td><td><span>train</span></td><td><span>6131</span></td></tr><tr><td><span>8</span></td><td><span>4</span></td><td><span>test</span></td><td><span>982</span></td></tr><tr><td><span>9</span></td><td><span>4</span></td><td><span>train</span></td><td><span>5842</span></td></tr><tr><td><span>10</span></td><td><span>5</span></td><td><span>test</span></td><td><span>892</span></td></tr><tr><td><span>11</span></td><td><span>5</span></td><td><span>train</span></td><td><span>5421</span></td></tr><tr><td><span>12</span></td><td><span>6</span></td><td><span>test</span></td><td><span>958</span></td></tr><tr><td><span>13</span></td><td><span>6</span></td><td><span>train</span></td><td><span>5918</span></td></tr><tr><td><span>14</span></td><td><span>7</span></td><td><span>test</span></td><td><span>1028</span></td></tr><tr><td><span>15</span></td><td><span>7</span></td><td><span>train</span></td><td><span>6265</span></td></tr><tr><td><span>16</span></td><td><span>8</span></td><td><span>test</span></td><td><span>974</span></td></tr><tr><td><span>17</span></td><td><span>8</span></td><td><span>train</span></td><td><span>5851</span></td></tr><tr><td><span>18</span></td><td><span>9</span></td><td><span>test</span></td><td><span>1009</span></td></tr><tr><td><span>19</span></td><td><span>9</span></td><td><span>train</span></td><td><span>5949</span></td></tr></tbody></table></figure><p>&nbsp;</p><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-comment"># Average pixel intensity per digit</span></span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span>.<span class="cm-property">execute</span>(<span class="cm-string">"""</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string"> &nbsp;  SELECT label,</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; ROUND(AVG(px196::INT + px197::INT + px224::INT + px225::INT), 1) as center_intensity</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string"> &nbsp;  FROM mnist WHERE split='train'</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string"> &nbsp;  GROUP BY label ORDER BY label</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string">"""</span>).<span class="cm-property">df</span>()</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 176px;"></div><div class="CodeMirror-gutters" style="display: none; height: 176px;"></div></div></div></pre><p>&nbsp;</p><figure class='table-figure'><table><thead><tr><th>&nbsp;</th><th><span>label</span></th><th><span>center_intensity</span></th></tr></thead><tbody><tr><td><span>0</span></td><td><span>0</span></td><td><span>0.0</span></td></tr><tr><td><span>1</span></td><td><span>1</span></td><td><span>0.0</span></td></tr><tr><td><span>2</span></td><td><span>2</span></td><td><span>0.0</span></td></tr><tr><td><span>3</span></td><td><span>3</span></td><td><span>0.1</span></td></tr><tr><td><span>4</span></td><td><span>4</span></td><td><span>0.0</span></td></tr><tr><td><span>5</span></td><td><span>5</span></td><td><span>0.0</span></td></tr><tr><td><span>6</span></td><td><span>6</span></td><td><span>0.0</span></td></tr><tr><td><span>7</span></td><td><span>7</span></td><td><span>0.6</span></td></tr><tr><td><span>8</span></td><td><span>8</span></td><td><span>0.0</span></td></tr><tr><td><span>9</span></td><td><span>9</span></td><td><span>0.0</span></td></tr></tbody></table></figure><p>&nbsp;</p><h2 id='visualize-sample-digits'><span>Visualize Sample Digits</span></h2><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">fig</span>, <span class="cm-variable">axes</span> <span class="cm-operator">=</span> <span class="cm-variable">plt</span>.<span class="cm-property">subplots</span>(<span class="cm-number">2</span>, <span class="cm-number">5</span>, <span class="cm-variable">figsize</span><span class="cm-operator">=</span>(<span class="cm-number">10</span>, <span class="cm-number">4</span>))</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">for</span> <span class="cm-variable">digit</span> <span class="cm-keyword">in</span> <span class="cm-builtin">range</span>(<span class="cm-number">10</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">row</span> <span class="cm-operator">=</span> <span class="cm-variable">con</span>.<span class="cm-property">execute</span>(<span class="cm-string">f"SELECT * FROM mnist WHERE label=</span>{<span class="cm-variable">digit</span>}<span class="cm-string"> AND split='train' LIMIT 1"</span>).<span class="cm-property">fetchone</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">pixels</span> <span class="cm-operator">=</span> <span class="cm-variable">np</span>.<span class="cm-property">array</span>(<span class="cm-variable">row</span>[:<span class="cm-number">784</span>]).<span class="cm-property">reshape</span>(<span class="cm-number">28</span>, <span class="cm-number">28</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">ax</span> <span class="cm-operator">=</span> <span class="cm-variable">axes</span>[<span class="cm-variable">digit</span> <span class="cm-operator">//</span> <span class="cm-number">5</span>, <span class="cm-variable">digit</span> <span class="cm-operator">%</span> <span class="cm-number">5</span>]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">ax</span>.<span class="cm-property">imshow</span>(<span class="cm-variable">pixels</span>, <span class="cm-variable">cmap</span><span class="cm-operator">=</span><span class="cm-string">'gray'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">ax</span>.<span class="cm-property">set_title</span>(<span class="cm-string">f'Label: </span>{<span class="cm-variable">digit</span>}<span class="cm-string">'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">ax</span>.<span class="cm-property">axis</span>(<span class="cm-string">'off'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">tight_layout</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">show</span>()</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 276px;"></div><div class="CodeMirror-gutters" style="display: none; height: 276px;"></div></div></div></pre><p><span>  </span><br/><img src="../01_data_loading_files/01_data_loading_10_0.png" alt="png">
+<span>    </span></p><p>&nbsp;</p><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-comment"># Pixel intensity heatmap averaged across all training images</span></span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">avg_pixels</span> <span class="cm-operator">=</span> <span class="cm-variable">con</span>.<span class="cm-property">execute</span>(<span class="cm-string">"""</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string"> &nbsp;  SELECT {} FROM mnist WHERE split='train'</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-string">"""</span>.<span class="cm-property">format</span>(<span class="cm-string">', '</span>.<span class="cm-property">join</span>(<span class="cm-string">f'AVG(px</span>{<span class="cm-variable">i</span>}<span class="cm-string">) as px</span>{<span class="cm-variable">i</span>}<span class="cm-string">'</span> <span class="cm-keyword">for</span> <span class="cm-variable">i</span> <span class="cm-keyword">in</span> <span class="cm-builtin">range</span>(<span class="cm-number">784</span>)))).<span class="cm-property">fetchone</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">figure</span>(<span class="cm-variable">figsize</span><span class="cm-operator">=</span>(<span class="cm-number">5</span>, <span class="cm-number">5</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">imshow</span>(<span class="cm-variable">np</span>.<span class="cm-property">array</span>(<span class="cm-variable">avg_pixels</span>).<span class="cm-property">reshape</span>(<span class="cm-number">28</span>, <span class="cm-number">28</span>), <span class="cm-variable">cmap</span><span class="cm-operator">=</span><span class="cm-string">'hot'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">title</span>(<span class="cm-string">'Average pixel intensity (all digits)'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">colorbar</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">show</span>()</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 251px;"></div><div class="CodeMirror-gutters" style="display: none; height: 251px;"></div></div></div></pre><p><span>  </span><br/><img src="../01_data_loading_files/01_data_loading_11_0.png" alt="png">
+<span>    </span></p><p>&nbsp;</p><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span>.<span class="cm-property">close</span>()</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-builtin">print</span>(<span class="cm-string">'DuckDB connection closed. Database saved at:'</span>, <span class="cm-variable">db_path</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 50px;"></div><div class="CodeMirror-gutters" style="display: none; height: 50px;"></div></div></div></pre><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang=""><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang=""><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">DuckDB connection closed. Database saved at: ..\data\mnist.duckdb</span></pre></div></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 25px;"></div><div class="CodeMirror-gutters" style="display: none; height: 25px;"></div></div></div></pre><p>&nbsp;</p></div></div>
+
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+.md-alert-text { font-size: 0.9rem; font-weight: 700; }
+.md-alert-text svg { fill: currentcolor; position: relative; top: 0.125em; margin-right: 1ch; overflow: visible; }
+.md-alert-text-container::after { content: attr(data-text); text-transform: capitalize; pointer-events: none; margin-right: 1ch; }
+
+</style>
+<style type='text/css'  id="style-codemirror">.CodeMirror { height: auto; }
+.CodeMirror.cm-s-inner { background: inherit; }
+.CodeMirror-scroll { overflow: auto hidden; z-index: 3; }
+.CodeMirror-gutter-filler, .CodeMirror-scrollbar-filler { background-color: rgb(255, 255, 255); }
+.CodeMirror-gutters { border-right: 1px solid rgb(221, 221, 221); background: inherit; white-space: nowrap; }
+.CodeMirror-linenumber { padding: 0px 3px 0px 5px; text-align: right; color: rgb(153, 153, 153); }
+.cm-s-inner .cm-keyword { color: rgb(119, 0, 136); }
+.cm-s-inner .cm-atom, .cm-s-inner.cm-atom { color: rgb(34, 17, 153); }
+.cm-s-inner .cm-number { color: rgb(17, 102, 68); }
+.cm-s-inner .cm-def { color: rgb(0, 0, 255); }
+.cm-s-inner .cm-variable { color: rgb(0, 0, 0); }
+.cm-s-inner .cm-variable-2 { color: rgb(0, 85, 170); }
+.cm-s-inner .cm-variable-3 { color: rgb(0, 136, 85); }
+.cm-s-inner .cm-string { color: rgb(170, 17, 17); }
+.cm-s-inner .cm-property { color: rgb(0, 0, 0); }
+.cm-s-inner .cm-operator { color: rgb(152, 26, 26); }
+.cm-s-inner .cm-comment, .cm-s-inner.cm-comment { color: rgb(170, 85, 0); }
+.cm-s-inner .cm-string-2 { color: rgb(255, 85, 0); }
+.cm-s-inner .cm-meta { color: rgb(85, 85, 85); }
+.cm-s-inner .cm-qualifier { color: rgb(85, 85, 85); }
+.cm-s-inner .cm-builtin { color: rgb(51, 0, 170); }
+.cm-s-inner .cm-bracket { color: rgb(153, 153, 119); }
+.cm-s-inner .cm-tag { color: rgb(17, 119, 0); }
+.cm-s-inner .cm-attribute { color: rgb(0, 0, 204); }
+.cm-s-inner .cm-header, .cm-s-inner.cm-header { color: rgb(0, 0, 255); }
+.cm-s-inner .cm-quote, .cm-s-inner.cm-quote { color: rgb(0, 153, 0); }
+.cm-s-inner .cm-hr, .cm-s-inner.cm-hr { color: rgb(153, 153, 153); }
+.cm-s-inner .cm-link, .cm-s-inner.cm-link { color: rgb(0, 0, 204); }
+.cm-negative { color: rgb(221, 68, 68); }
+.cm-positive { color: rgb(34, 153, 34); }
+.cm-header, .cm-strong { font-weight: 700; }
+.cm-del { text-decoration: line-through; }
+.cm-em { font-style: italic; }
+.cm-link { text-decoration: underline; }
+.cm-error { color: red; }
+.cm-invalidchar { color: red; }
+.cm-constant { color: rgb(38, 139, 210); }
+.cm-defined { color: rgb(181, 137, 0); }
+div.CodeMirror span.CodeMirror-matchingbracket { color: rgb(0, 255, 0); }
+div.CodeMirror span.CodeMirror-nonmatchingbracket { color: rgb(255, 34, 34); }
+.cm-s-inner .CodeMirror-activeline-background { background: inherit; }
+.CodeMirror { position: relative; overflow: hidden; }
+.CodeMirror-scroll { height: 100%; outline: 0px; position: relative; box-sizing: content-box; background: inherit; }
+.CodeMirror-sizer { position: relative; }
+.CodeMirror-gutter-filler, .CodeMirror-hscrollbar, .CodeMirror-scrollbar-filler, .CodeMirror-vscrollbar { position: absolute; z-index: 6; display: none; outline: 0px; }
+.CodeMirror-vscrollbar { right: 0px; top: 0px; overflow: hidden; }
+.CodeMirror-hscrollbar { bottom: 0px; left: 0px; overflow: auto hidden; }
+.CodeMirror-scrollbar-filler { right: 0px; bottom: 0px; }
+.CodeMirror-gutter-filler { left: 0px; bottom: 0px; }
+.CodeMirror-gutters { position: absolute; left: 0px; top: 0px; padding-bottom: 10px; z-index: 3; overflow-y: hidden; }
+.CodeMirror-gutter { white-space: normal; height: 100%; box-sizing: content-box; padding-bottom: 30px; margin-bottom: -32px; display: inline-block; }
+.CodeMirror-gutter-wrapper { position: absolute; z-index: 4; background: 0px 0px !important; border: none !important; }
+.CodeMirror-gutter-background { position: absolute; top: 0px; bottom: 0px; z-index: 4; }
+.CodeMirror-gutter-elt { position: absolute; cursor: default; z-index: 4; }
+.CodeMirror-lines { cursor: text; }
+.CodeMirror pre { border-radius: 0px; border-width: 0px; background: 0px 0px; font-family: inherit; font-size: inherit; margin: 0px; white-space: pre; overflow-wrap: normal; color: inherit; z-index: 2; position: relative; overflow: visible; }
+.CodeMirror-wrap pre { overflow-wrap: break-word; white-space: pre-wrap; word-break: normal; }
+.CodeMirror-code pre { border-right: 30px solid transparent; width: fit-content; }
+.CodeMirror-wrap .CodeMirror-code pre { border-right: none; width: auto; }
+.CodeMirror-linebackground { position: absolute; inset: 0px; z-index: 0; }
+.CodeMirror-linewidget { position: relative; z-index: 2; overflow: auto; }
+.CodeMirror-wrap .CodeMirror-scroll { overflow-x: hidden; }
+.CodeMirror-measure { position: absolute; width: 100%; height: 0px; overflow: hidden; visibility: hidden; }
+.CodeMirror-measure pre { position: static; }
+.CodeMirror div.CodeMirror-cursor { position: absolute; visibility: hidden; border-right: none; width: 0px; }
+.CodeMirror div.CodeMirror-cursor { visibility: hidden; }
+.CodeMirror-focused div.CodeMirror-cursor { visibility: inherit; }
+.cm-searching { background: rgba(255, 255, 0, 0.4); }
+span.cm-underlined { text-decoration: underline; }
+span.cm-strikethrough { text-decoration: line-through; }
+.cm-tw-syntaxerror { color: rgb(255, 255, 255); background-color: rgb(153, 0, 0); }
+.cm-tw-deleted { text-decoration: line-through; }
+.cm-tw-header5 { font-weight: 700; }
+.cm-tw-listitem:first-child { padding-left: 10px; }
+.cm-tw-box { border-style: solid; border-right-width: 1px; border-bottom-width: 1px; border-left-width: 1px; border-color: inherit; border-top-width: 0px !important; }
+.cm-tw-underline { text-decoration: underline; }
+@media print {
+  .CodeMirror div.CodeMirror-cursor { visibility: hidden; }
+}
+
+</style>
+<style type='text/css'  id="style-theme_css">/*
+ * NOTION-STYLE TYPORA THEME - DARK MODE
+ * Copyright (C) 2025 Aditya Kumar Darak
+ * Based on original work by cayxc
+ * Licensed under the Apache License, Version 2.0
+ * http://www.apache.org/licenses/LICENSE-2.0
+ */
+
+/* =========================================================================
+   Table of Contents
+   =========================================================================
+   1. Theme Tokens
+   2. Base & Layout
+   3. Block Elements
+   4. Code & Syntax
+   5. Inline Elements
+   6. Sidebar & Navigation
+   7. Typora Chrome
+   8. Utilities & Export
+   ========================================================================= */
+
+/* =========================================================================
+   1. Theme Tokens
+   ========================================================================= */
+
+:root {
+
+  /* Colors */
+  --bg-color: rgba(25, 25, 25, 1);
+  --text-color: rgba(212, 212, 212, 1);
+  --accent-color: rgba(156, 166, 168, 1);
+  --accented-background-color: rgba(193, 202, 204, 1);
+  --title-color: rgba(212, 212, 212, 1);
+  --text-grey: rgba(156, 156, 156, 1);
+
+  /* Legacy Typora search highlight token. */
+  --color-2-0-c: rgba(156, 166, 168, 1);
+
+  /* Borders */
+  --border-color: rgba(61, 61, 61, 1);
+
+  /* Links and highlights */
+  --link-color: rgba(127, 179, 255, 1);
+  --link-hover-color: rgba(179, 212, 255, 1);
+  --link-hover-bg: rgba(127, 179, 255, 0.12);
+  --selection-bg: rgba(255, 238, 160, 1);
+  --selection-color: rgba(0, 0, 0, 1);
+  --highlight-bg: rgba(255, 238, 160, 1);
+  --search-highlight-bg: rgba(233, 188, 54, 1);
+
+  /* Headings */
+  --h1-color: rgba(247, 246, 243, 1);
+  --h2-color: rgba(232, 231, 228, 1);
+  --h3-color: rgba(212, 212, 212, 1);
+  --h4-color: rgba(192, 192, 192, 1);
+  --h5-color: rgba(176, 176, 176, 1);
+  --h6-color: rgba(160, 160, 160, 1);
+
+  /* Sidebar */
+  --side-bar-bg-color: rgba(32, 32, 32, 1);
+  --side-bar-border-color: rgba(43, 43, 43, 1);
+  --active-file-bg-color: rgba(44, 44, 44, 1);
+
+  /* Typography */
+  --body-font: -apple-system, BlinkMacSystemFont, "Segoe UI", "Microsoft YaHei",
+    "Noto Sans SC", "Microsoft JhengHei", "Noto Sans TC", "Meiryo", "Yu Gothic",
+    "Noto Sans JP", "Malgun Gothic", "Noto Sans KR", sans-serif;
+  --monospace-font: "Sarasa Mono SC", "Source Han Mono", "Space Mono",
+    "Inconsolata", monospace;
+
+  /* Type scale */
+  --font-size: 16px;
+  --h1-fontsize: 30px;
+  --h2-fontsize: 24px;
+  --h3-fontsize: 20px;
+  --h4-fontsize: 18px;
+  --h5-fontsize: 16px;
+  --h6-fontsize: 16px;
+  --monospace-font-size: 85%;
+
+  /* Line rhythm */
+  --line-height: 1.6;
+  --monospace-line-height: normal;
+  --paragraph-spacing: 19.2px;
+
+  /* Layout */
+  --document-padding-x: 10ch;
+  --vertical-padding: 40px;
+  --main-content-max-width: 90%;
+  --border-radius: 2px;
+  --border-radius-lg: 4px;
+
+  /* Inline code */
+  --code-font: "SFMono-Regular", Consolas, "Liberation Mono", Menlo, Courier, monospace;
+  --code-bg-color: rgba(135, 131, 120, 0.15);
+  --code-color: rgba(235, 87, 87, 1);
+  --code-border-radius: 3px;
+
+  /* Code blocks */
+  --code-block-bg-color: rgba(32, 32, 32, 1);
+  --code-block-font-size: 15.2px;
+  --code-block-line-height: 1.65;
+  --code-tooltip-height: 34px;
+  --code-tooltip-gap: calc(var(--code-tooltip-height) + 5px);
+  --code-tooltip-border-color: rgba(55, 55, 55, 1);
+  --code-border-color: rgba(255, 255, 255, 0.12);
+  --code-border-hover-color: rgba(255, 255, 255, 0.2);
+  --code-selection-bg: rgba(255, 238, 160, 1);
+  --code-selection-color: rgba(0, 0, 0, 1);
+
+  /* Todo checkboxes */
+  --todo-bg-color: rgba(36, 131, 226, 1);
+  --todo-check-color: rgba(255, 255, 255, 1);
+
+  /* File tree */
+  --file-tree-font-size: 12px;
+
+  /* Diagrams */
+  --mermaid-theme: dark;
+
+  /* Performance */
+  --gpu-acceleration: translateZ(0);
+
+  /* Animation */
+  --transition-fast: 0.15s;
+  --transition-normal: 0.2s;
+  --transition-slow: 0.3s;
+  --easing-standard: cubic-bezier(0.4, 0, 0.2, 1);
+  --easing-decelerate: cubic-bezier(0, 0, 0.2, 1);
+  --easing-accelerate: cubic-bezier(0.4, 0, 1, 1);
+}
+
+/* =========================================================================
+   2. Base & Layout
+   ========================================================================= */
+
+/* Document base */
+html {
+  font-size: var(--font-size);
+  background-color: var(--bg-color);
+}
+
+html,
+body {
+  color: var(--text-color);
+  font-family: var(--body-font);
+  line-height: var(--line-height);
+
+  -webkit-font-smoothing: antialiased;
+  -moz-osx-font-smoothing: grayscale;
+  text-rendering: optimizeLegibility;
+}
+
+/* Paragraph rhythm */
+p {
+  margin: var(--paragraph-spacing) 0;
+  line-height: var(--line-height);
+}
+
+h1+p,
+h2+p,
+h3+p,
+h4+p,
+h5+p,
+h6+p {
+  margin-top: 8px;
+}
+
+/* Main document container */
+#write {
+  padding-left: var(--document-padding-x);
+  padding-right: var(--document-padding-x);
+  max-width: var(--main-content-max-width);
+  box-sizing: border-box;
+
+  contain: layout style;
+}
+
+/* Media */
+#write img {
+  border-radius: 8px;
+  max-width: 100%;
+  height: auto;
+  display: block;
+  margin-left: auto;
+  margin-right: auto;
+}
+
+/* Image captions */
+#write .md-image>.md-meta {
+  color: rgba(212, 212, 212, 0.7);
+  font-size: 14px;
+  font-style: italic;
+  margin-top: 8px;
+  text-align: center;
+}
+
+/* =========================================================================
+   3. Block Elements
+   ========================================================================= */
+
+/* Frontmatter (YAML) */
+pre.md-meta-block {
+  background: rgba(32, 32, 32, 1);
+  color: rgba(255, 255, 255, 0.8);
+  padding: 12px;
+  border-radius: 3px;
+  width: 100%;
+  border: 1px solid rgba(255, 255, 255, 0.13);
+  box-shadow: none;
+  font-family: var(--code-font);
+  font-size: var(--monospace-font-size);
+  line-height: 1.5;
+}
+
+pre.md-meta-block .md-meta-i {
+  color: rgba(121, 192, 255, 1);
+  font-weight: 500;
+}
+
+pre.md-meta-block .md-meta-value {
+  color: rgba(126, 231, 135, 1);
+}
+
+/* Headings */
+h1 {
+  margin-top: 48px;
+  margin-bottom: 24px;
+  padding-top: 8px;
+  font-size: var(--h1-fontsize);
+  font-weight: 700;
+  line-height: 1.3;
+  letter-spacing: -0.32px;
+  color: var(--h1-color);
+}
+
+h1:first-child {
+  margin-top: 16px;
+}
+
+h2 {
+  margin-top: 40px;
+  margin-bottom: 19.2px;
+  font-size: var(--h2-fontsize);
+  font-weight: 600;
+  line-height: 1.35;
+  letter-spacing: -0.16px;
+  color: var(--h2-color);
+}
+
+h3 {
+  margin-top: 32px;
+  margin-bottom: 16px;
+  font-size: var(--h3-fontsize);
+  font-weight: 600;
+  line-height: 1.4;
+  letter-spacing: -0.08px;
+  color: var(--h3-color);
+}
+
+h4 {
+  margin-top: 28px;
+  margin-bottom: 12.8px;
+  font-size: var(--h4-fontsize);
+  font-weight: 600;
+  line-height: 1.45;
+  color: var(--h4-color);
+}
+
+h5 {
+  margin-top: 24px;
+  margin-bottom: 9.6px;
+  font-size: var(--h5-fontsize);
+  font-weight: 600;
+  line-height: 1.5;
+  color: var(--h5-color);
+}
+
+h6 {
+  margin-top: 24px;
+  margin-bottom: 9.6px;
+  font-size: var(--h6-fontsize);
+  font-weight: 500;
+  line-height: 1.5;
+  font-style: italic;
+  color: var(--h6-color);
+}
+
+/* Tables */
+#write table {
+  margin: 24px 0;
+  width: auto;
+  max-width: 100%;
+  border-collapse: separate;
+  border-spacing: 0;
+  border: 1px solid var(--border-color);
+  border-radius: 8px;
+  overflow: hidden;
+  box-shadow: 0 1px 3px rgba(0, 0, 0, 0.2);
+}
+
+td,
+th {
+  min-width: 120px;
+  max-width: 560px;
+  width: auto;
+  word-wrap: break-word;
+  white-space: normal;
+  border-right: 1px solid var(--border-color);
+  border-bottom: 1px solid var(--border-color);
+  padding: 12px 16px;
+  font-size: 15.2px;
+}
+
+td:last-child,
+th:last-child {
+  border-right: none;
+}
+
+tbody tr:last-child td {
+  border-bottom: none;
+}
+
+th {
+  background-color: rgba(255, 255, 255, 0.08);
+  font-weight: 600;
+  text-align: left;
+  color: rgba(255, 255, 255, 0.9);
+  font-size: 14.4px;
+  letter-spacing: 0px;
+}
+
+tbody tr:nth-child(even) {
+  background-color: rgba(255, 255, 255, 0.02);
+}
+
+tbody tr {
+  transition: background-color 0.15s ease;
+}
+
+tbody tr:hover {
+  background-color: rgba(255, 255, 255, 0.06);
+}
+
+h2+table tr:first-child th,
+h2+table tr:first-child td {
+  border-top-width: 0;
+}
+
+td[align="center"],
+th[align="center"] {
+  text-align: center;
+}
+
+td[align="right"],
+th[align="right"] {
+  text-align: right;
+}
+
+/* Lists */
+#write ul,
+#write ol {
+  padding-left: 0;
+  margin-left: 0;
+}
+
+#write ul li,
+#write ol li {
+  padding-left: 0;
+  margin-left: 32px;
+}
+
+ol ol {
+  counter-reset: sub-counter;
+  list-style-type: lower-alpha;
+}
+
+ol ol ol {
+  counter-reset: sub-sub-counter;
+  list-style-type: lower-roman;
+}
+
+#write ul>li::marker {
+  color: var(--accent-color);
+  font-weight: 600;
+}
+
+#write ol>li::marker {
+  color: var(--accent-color);
+  font-weight: 600;
+  font-size: 15.2px;
+}
+
+#write ul ul>li::marker,
+#write ol ol>li::marker {
+  color: rgba(156, 166, 168, 0.7);
+}
+
+#write ul ul ul>li::marker,
+#write ol ol ol>li::marker {
+  color: rgba(156, 166, 168, 0.5);
+}
+
+li p {
+  margin: 0;
+}
+
+/* Task list checkboxes */
+#write .md-task-list-item>input {
+  appearance: none;
+  -webkit-appearance: none;
+  display: inline-block;
+  vertical-align: middle;
+  position: absolute;
+  border: 2px solid rgba(212, 212, 212, 0.4);
+  margin: 3.2px 0 0 -23.2px;
+  height: 16px;
+  width: 16px;
+  border-radius: 3px;
+  background-color: rgba(0, 0, 0, 0);
+  cursor: pointer;
+  transition: all 0.2s cubic-bezier(0.4, 0, 0.2, 1);
+}
+
+#write .md-task-list-item>input:hover {
+  border-color: var(--todo-bg-color);
+  background-color: rgba(36, 131, 226, 0.1);
+  transform: scale(1.05) var(--gpu-acceleration);
+}
+
+#write .md-task-list-item>input:focus {
+  outline: 2px solid var(--todo-bg-color);
+  outline-offset: 2px;
+  box-shadow: 0 0 0 3px rgba(36, 131, 226, 0.1);
+}
+
+#write .md-task-list-item>input[checked] {
+  background: var(--todo-bg-color);
+  border: 2px solid var(--todo-bg-color);
+  animation: checkboxPop 0.2s ease-out;
+}
+
+@keyframes checkboxPop {
+  0% {
+    transform: scale(1);
+  }
+
+  50% {
+    transform: scale(1.15);
+  }
+
+  100% {
+    transform: scale(1);
+  }
+}
+
+#write .md-task-list-item>input[checked]::before {
+  content: "";
+  display: block;
+  width: 5.6px;
+  height: 9.6px;
+  background: rgba(0, 0, 0, 0);
+  border: 2px solid var(--todo-check-color);
+  border-top: none;
+  border-left: none;
+  position: absolute;
+  box-sizing: border-box;
+  top: 42%;
+  left: 50%;
+  transform: translate(-50%, -50%) rotate(45deg);
+  animation: checkmarkDraw 0.2s ease-out 0.1s both;
+}
+
+@keyframes checkmarkDraw {
+  0% {
+    height: 0;
+    width: 0;
+  }
+
+  50% {
+    height: 9.6px;
+    width: 0;
+  }
+
+  100% {
+    height: 9.6px;
+    width: 5.6px;
+  }
+}
+
+#write .md-task-list-item>input[checked]+label,
+#write .md-task-list-item.task-list-done {
+  color: rgba(156, 156, 156, 0.7);
+  text-decoration: line-through;
+  text-decoration-color: rgba(156, 156, 156, 0.5);
+  transition: all 0.2s ease;
+}
+
+.md-image>.md-meta {
+  border-radius: var(--border-radius);
+  padding: 2px 0px 0px 4px;
+  font-size: 14.4px;
+  color: inherit;
+}
+
+/* Blockquotes and Callouts */
+#write blockquote {
+  margin: 24px 0;
+  padding: 16px 20px 16px 48px;
+  position: relative;
+  border-left: 3px solid var(--accent-color);
+  background-color: rgba(45, 45, 45, 0.4);
+  border-radius: 5px;
+  font-style: italic;
+  color: rgba(212, 212, 212, 0.9);
+  box-shadow: 0 1px 3px rgba(0, 0, 0, 0.2);
+}
+
+#write blockquote::before {
+  content: '"';
+  position: absolute;
+  left: 12px;
+  top: 8px;
+  font-size: 40px;
+  line-height: 1;
+  color: var(--accent-color);
+  opacity: 0.3;
+  font-family: Georgia, serif;
+}
+
+#write blockquote p:first-child {
+  margin-top: 0;
+}
+
+#write blockquote p:last-child {
+  margin-bottom: 0;
+}
+
+.md-alert,
+.admonition {
+  background-color: rgba(45, 45, 45, 0.4);
+  border-left: 3px solid var(--accent-color);
+  padding: 16px 20px 16px 48px;
+  margin: 24px 0;
+  border-radius: 5px;
+  box-shadow: 0 1px 3px rgba(0, 0, 0, 0.2);
+  position: relative;
+}
+
+.md-alert::before,
+.admonition::before {
+  content: 'i';
+  position: absolute;
+  left: 14px;
+  top: 14px;
+  font-size: 24px;
+  line-height: 1;
+  color: var(--accent-color);
+  opacity: 0.4;
+  font-family: Georgia, serif;
+  font-style: italic;
+}
+
+.md-alert-note::before {
+  content: 'i';
+}
+
+.md-alert-tip::before {
+  content: '*';
+  font-style: normal;
+}
+
+.md-alert-important::before {
+  content: '!';
+}
+
+.md-alert-warning::before {
+  content: '‼';
+  font-style: normal;
+}
+
+.md-alert-caution::before {
+  content: '×';
+  font-style: normal;
+}
+
+.md-alert-text-container,
+.md-alert-title {
+  display: none;
+  height: 0;
+  margin: 0;
+  padding: 0;
+  line-height: 0;
+}
+
+.md-alert p,
+.admonition p {
+  margin: 0;
+}
+
+/* Math blocks */
+.md-math-block:hover .md-math-container,
+.md-math-block:hover .md-rawblock-tooltip,
+.md-htmlblock:hover .md-htmlblock-container,
+.md-htmlblock:hover .md-rawblock-tooltip,
+.md-rawblock-on-edit:hover .md-rawblock-tooltip,
+.md-rawblock-on-edit .md-mathblock-panel,
+.md-rawblock-after,
+.md-rawblock-before,
+.md-rawblock-control:not(.md-rawblock-tooltip) {
+  background: var(--code-block-bg-color);
+}
+
+.md-rawblock-tooltip {
+  pointer-events: none;
+  background: var(--code-block-bg-color) !important;
+}
+
+.md-rawblock .md-rawblock-tooltip-edit-btn:hover {
+  background: rgba(0, 0, 0, 0);
+}
+
+/* Horizontal rules */
+#write hr {
+  border: none;
+  height: 1px;
+  background-color: var(--border-color);
+  margin: 48px 0;
+}
+
+/* =========================================================================
+   4. Code & Syntax
+   ========================================================================= */
+
+/* Search highlight animation */
+@keyframes pulse {
+  0% {
+    transform: scale(1);
+  }
+
+  50% {
+    transform: scale(1.2);
+  }
+
+  100% {
+    transform: scale(1);
+  }
+}
+
+.md-search-hit,
+.md-search-select {
+  display: inline-block !important;
+  border-radius: 8px !important;
+  padding: 0.8px 1.6px !important;
+}
+
+.md-search-hit {
+  color: var(--text-color) !important;
+}
+
+.md-search-select {
+  background: var(--search-highlight-bg) !important;
+  color: rgba(55, 53, 47, 1) !important;
+  transform-origin: center center !important;
+  animation: pulse 0.3s ease-in-out !important;
+}
+
+pre {
+  --monospace: "Cascadia Code Variable", SFMono-Regular, Menlo, Consolas,
+    "PT Mono", "Liberation Mono";
+}
+
+/* Code fences */
+.md-fences {
+  position: relative;
+  margin: 20px 0 51.2px 0;
+  background: var(--code-block-bg-color);
+  border: 1px solid var(--code-border-color);
+  border-radius: 6px;
+  overflow: visible;
+  padding: 0;
+  font-size: var(--code-block-font-size);
+  transition: border-color 0.2s ease, box-shadow 0.2s ease, filter 0.2s ease;
+
+  contain: layout style;
+  will-change: border-color, box-shadow;
+}
+
+#write .cm-s-inner,
+.cm-s-typora-default {
+  background: rgba(0, 0, 0, 0);
+  border-radius: 0;
+  padding: 20px 24px;
+  font-size: var(--code-block-font-size);
+  line-height: var(--code-block-line-height);
+  font-family: var(--monospace-font);
+  border: none;
+}
+
+#write .md-fences :is(pre, code),
+.cm-s-typora-default :is(pre, code) {
+  font-family: var(--monospace-font);
+  font-size: var(--code-block-font-size);
+  line-height: var(--code-block-line-height);
+  background: rgba(0, 0, 0, 0);
+}
+
+#write .md-fences pre,
+.cm-s-typora-default pre {
+  margin: 0;
+  white-space: pre-wrap;
+  word-wrap: break-word;
+}
+
+#write .md-fences code,
+.cm-s-typora-default code {
+  display: block;
+  white-space: pre-wrap;
+  word-wrap: break-word;
+  word-break: break-word;
+}
+
+/* WYSIWYG mode hides gutters and line numbers. */
+#write .cm-s-inner .CodeMirror-gutters {
+  width: 0;
+  opacity: 0;
+  pointer-events: none;
+}
+
+#write .cm-s-inner .CodeMirror-linenumber {
+  opacity: 0;
+}
+
+/* Source mode shows gutters and line numbers. */
+.cm-s-typora-default .CodeMirror-gutters {
+  width: auto;
+  opacity: 1;
+  pointer-events: auto;
+}
+
+.cm-s-typora-default .CodeMirror-linenumber {
+  opacity: 1;
+  color: rgba(106, 214, 154, 1);
+  padding-right: 12px;
+}
+
+.cm-s-typora-default .CodeMirror-line {
+  padding-left: 6px;
+}
+
+#write .cm-s-inner .CodeMirror-cursor,
+.cm-s-typora-default .CodeMirror-cursor {
+  border-left: 2px solid rgba(121, 192, 255, 1);
+}
+
+.cm-s-inner,
+.cm-s-typora-default {
+  color: rgba(230, 237, 243, 1);
+}
+
+/* CodeMirror token colors. */
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-keyword, .cm-builtin) {
+  color: rgba(255, 123, 114, 1);
+  font-weight: 600;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-def {
+  color: rgba(210, 168, 255, 1);
+  font-weight: 600;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-variable, .cm-variable-2, .cm-variable-3) {
+  color: rgba(255, 166, 87, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-number, .cm-atom) {
+  color: rgba(121, 192, 255, 1);
+  font-weight: 500;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-string, .cm-string-2) {
+  color: rgba(165, 214, 255, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-comment {
+  color: rgba(139, 148, 158, 1);
+  font-style: italic;
+  opacity: 0.9;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-operator {
+  color: rgba(255, 123, 114, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-property, .cm-attribute) {
+  color: rgba(121, 192, 255, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-type, .cm-tag) {
+  color: rgba(126, 231, 135, 1);
+  font-weight: 500;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-meta {
+  color: rgba(210, 168, 255, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-qualifier {
+  color: rgba(255, 166, 87, 1);
+  font-weight: 500;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-bracket {
+  color: rgba(201, 209, 217, 1);
+  font-weight: 600;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) :is(.cm-error, .cm-invalidchar) {
+  color: rgba(248, 81, 73, 1);
+  text-decoration: wavy underline;
+  text-decoration-color: rgba(248, 81, 73, 1);
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-header {
+  color: rgba(121, 192, 255, 1);
+  font-weight: 600;
+}
+
+:is(.cm-s-inner, .cm-s-typora-default) .cm-special {
+  color: rgba(210, 168, 255, 1);
+}
+
+/* Code block toolbar. */
+.md-fences .code-tooltip {
+  background-color: rgba(0, 0, 0, 0);
+  border-radius: 0;
+  padding: 0;
+  height: var(--code-tooltip-height);
+  display: flex;
+  align-items: center;
+  border: none;
+  box-shadow: none;
+  backdrop-filter: none;
+  opacity: 1;
+  transition: opacity 0.2s ease;
+  position: absolute;
+  bottom: calc(-1 * var(--code-tooltip-gap));
+  right: -5px;
+  top: auto;
+}
+
+#write .md-diagram-panel {
+  margin-top: calc(var(--code-tooltip-gap) + 5px);
+  margin-bottom: 59.2px;
+}
+
+/* Typora lacks :has; position tooltip below diagram fences. */
+#write .md-fences:is([lang="mermaid"],
+  [lang="flowchart"],
+  [lang="sequence"],
+  [lang="gantt"],
+  [lang="classDiagram"],
+  [lang="stateDiagram"],
+  [lang="erDiagram"],
+  [lang="journey"],
+  [lang="pie"],
+  [lang="gitGraph"],
+  [lang="mindmap"],
+  [lang="timeline"],
+  [lang="js-sequence-diagram"],
+  [lang="flow"]) .code-tooltip {
+  right: -5px;
+  bottom: auto;
+  top: 100%;
+  margin-top: 5px;
+}
+
+.md-fences .code-tooltip :is(input, span) {
+  padding: 6px 10px;
+  border-radius: 5px;
+  margin: 0 3px;
+  font-size: 13.6px;
+  font-weight: 500;
+  transition: all 0.2s ease;
+}
+
+.md-fences .code-tooltip input {
+  background-color: rgba(0, 0, 0, 0);
+  border: 1px solid rgba(0, 0, 0, 0);
+  color: rgba(255, 255, 255, 0.6);
+}
+
+.md-fences .code-tooltip input:hover,
+.md-fences .code-tooltip input:focus {
+  background-color: rgba(255, 255, 255, 0.05);
+  border-color: rgba(255, 255, 255, 0.2);
+  color: rgba(255, 255, 255, 0.9);
+}
+
+.md-fences .code-tooltip span {
+  cursor: pointer;
+  color: rgba(255, 255, 255, 0.7);
+  background-color: rgba(255, 255, 255, 0.08);
+  border: 1px solid rgba(255, 255, 255, 0.15);
+  font-weight: 500;
+}
+
+.md-fences .code-tooltip span:hover {
+  background-color: rgba(255, 255, 255, 0.15);
+  color: rgba(255, 255, 255, 1);
+  border-color: rgba(255, 255, 255, 0.25);
+  transform: translateY(-1px);
+}
+
+.md-fences .code-tooltip span:active {
+  transform: translateY(0);
+}
+
+/* Autocomplete dropdown. */
+.autoComplt-list {
+  width: 20ch !important;
+  border-radius: 6px !important;
+  background-color: rgba(43, 43, 43, 1) !important;
+  border: 1px solid var(--border-color) !important;
+  box-shadow: 0 4px 12px rgba(0, 0, 0, 0.6);
+  overflow: hidden;
+}
+
+.autoComplt-hint {
+  background-color: rgba(0, 0, 0, 0) !important;
+  margin: 0 !important;
+  padding: 4px 12px !important;
+  color: var(--text-color) !important;
+  line-height: var(--line-height) !important;
+  height: auto !important;
+  cursor: pointer;
+  transition: background-color 0.15s ease;
+}
+
+.autoComplt-hint-selected {
+  background-color: rgba(61, 61, 61, 1) !important;
+  color: rgba(121, 192, 255, 1) !important;
+}
+
+/* =========================================================================
+   5. Inline Elements
+   ========================================================================= */
+
+/* Inline code. */
+code {
+  font-family: var(--code-font);
+  font-size: var(--monospace-font-size);
+  line-height: var(--monospace-line-height);
+  color: var(--code-color);
+  background-color: var(--code-bg-color);
+  padding: 3.2px 6.4px;
+  border-radius: var(--code-border-radius);
+  border: none;
+  font-weight: 400;
+}
+
+/* Links. */
+#write a {
+  text-decoration: none;
+  color: var(--link-color);
+  border-bottom: 1px solid rgba(0, 0, 0, 0);
+  padding: 0 2px;
+  margin: 0 -2px;
+  border-radius: 2px;
+  transition: color 0.2s ease, background-color 0.2s ease, border-color 0.2s ease;
+}
+
+#write a:hover {
+  color: var(--link-hover-color);
+  background-color: var(--link-hover-bg);
+  border-bottom-color: var(--link-hover-color);
+}
+
+#write a:focus {
+  outline: 2px solid var(--link-hover-color);
+  outline-offset: 2px;
+  background-color: var(--link-hover-bg);
+}
+
+#write a:active {
+  transform: translateY(1px) var(--gpu-acceleration);
+}
+
+/* Selection and marks. */
+::selection {
+  background-color: var(--selection-bg);
+  color: var(--selection-color);
+}
+
+.cm-s-inner .CodeMirror-selected,
+.cm-s-typora-default .CodeMirror-selected {
+  background: rgba(0, 0, 0, 0) !important;
+}
+
+.cm-s-inner .CodeMirror-selectedtext,
+.cm-s-typora-default .CodeMirror-selectedtext {
+  background: var(--code-selection-bg) !important;
+  color: var(--code-selection-color) !important;
+}
+
+mark {
+  background-color: var(--highlight-bg);
+  color: rgba(55, 53, 47, 1);
+  padding: 2px 0;
+  border-radius: 0;
+}
+
+mark.yellow,
+mark {
+  background-color: rgba(255, 238, 160, 1);
+  color: rgba(55, 53, 47, 1);
+}
+
+mark.red {
+  background-color: rgba(90, 44, 44, 1);
+  color: rgba(255, 184, 177, 1);
+}
+
+mark.blue {
+  background-color: rgba(43, 66, 87, 1);
+  color: rgba(156, 199, 232, 1);
+}
+
+mark.green {
+  background-color: rgba(43, 74, 63, 1);
+  color: rgba(147, 225, 200, 1);
+}
+
+mark.orange {
+  background-color: rgba(89, 74, 58, 1);
+  color: rgba(255, 204, 153, 1);
+}
+
+mark.purple {
+  background-color: rgba(68, 63, 87, 1);
+  color: rgba(212, 197, 249, 1);
+}
+
+mark.pink {
+  background-color: rgba(83, 59, 71, 1);
+  color: rgba(255, 184, 210, 1);
+}
+
+mark.brown {
+  background-color: rgba(67, 64, 64, 1);
+  color: rgba(212, 196, 176, 1);
+}
+
+mark.gray {
+  background-color: rgba(58, 58, 58, 1);
+  color: rgba(193, 193, 193, 1);
+}
+
+@media (prefers-reduced-motion: reduce) {
+
+  *,
+  *::before,
+  *::after {
+    animation-duration: 0.01ms !important;
+    animation-iteration-count: 1 !important;
+    transition-duration: 0.01ms !important;
+    scroll-behavior: auto !important;
+  }
+}
+
+/* =========================================================================
+   6. Sidebar & Navigation
+   ========================================================================= */
+
+/* Table of contents. */
+#write div.md-toc-tooltip {
+  background-color: var(--bg-color);
+}
+
+.md-toc {
+  margin-top: 40px;
+}
+
+.md-toc .md-toc-h2 {
+  margin-left: 16px;
+}
+
+.md-toc .md-toc-h3 {
+  margin-left: 32px;
+}
+
+.md-toc .md-toc-h4 {
+  margin-left: 48px;
+}
+
+.md-toc .md-toc-h5 {
+  margin-left: 64px;
+}
+
+.md-toc .md-toc-h6 {
+  margin-left: 80px;
+}
+
+.sidebar-footer {
+  border-top: 1px solid var(--side-bar-border-color);
+}
+
+.pin-outline #typora-sidebar {
+  box-shadow: none;
+  border-right: 1px solid var(--side-bar-border-color);
+}
+
+.sidebar-tabs {
+  border-bottom: 1px solid var(--side-bar-border-color) !important;
+}
+
+/* Outline tree. */
+.outline-content {
+  padding: 16px;
+  font-size: 14px !important;
+}
+
+.outline-content li {
+  position: relative;
+  z-index: 30;
+  line-height: 1.3 !important;
+  margin-bottom: 0;
+}
+
+.outline-content li::before {
+  content: "";
+  width: 1px;
+  height: calc(100% + 5px);
+  position: absolute;
+  z-index: 30;
+  left: 0;
+  top: 0;
+  border-left: 1px solid var(--border-color);
+}
+
+.outline-content>li:first-of-type::before {
+  top: 0;
+}
+
+.outline-content li a {
+  font-size: 14px !important;
+}
+
+.outline-content li ul {
+  margin-left: 20px;
+  margin-top: 0 !important;
+  position: relative;
+  z-index: 48;
+}
+
+.outline-content ul li::before {
+  content: "";
+  width: 1px;
+  height: calc(100% + 10px);
+  top: -10px;
+  border-left: 1px solid var(--border-color);
+}
+
+.outline-content ul>li:last-of-type::before {
+  content: "";
+  width: 1px;
+  height: 10px;
+  top: -10px;
+  left: 0;
+  border-left: 1px solid var(--border-color);
+}
+
+.outline-content li .outline-item {
+  margin: 0 0 3px 7px;
+  padding: 4px 8px;
+  position: relative;
+  z-index: 50;
+  border-radius: 5px;
+  border: 1px solid rgba(0, 0, 0, 0);
+}
+
+.outline-item>.outline-label {
+  text-decoration: none;
+}
+
+.outline-content li .outline-item:hover,
+.outline-content li .outline-item-active {
+  z-index: 70;
+}
+
+.outline-content li .outline-item::before {
+  content: "";
+  width: 12px;
+  height: calc(50% + 12px);
+  position: absolute;
+  z-index: 38;
+  left: -8px;
+  top: -11.5px;
+  background: rgba(0, 0, 0, 0);
+  border-left: 1px solid var(--border-color);
+  border-bottom: 1px solid var(--border-color);
+}
+
+.outline-content>li:first-of-type>.outline-item::before {
+  top: calc(50% - 1px) !important;
+  border-top: 1px solid var(--border-color);
+  border-bottom: none;
+  border-top-left-radius: 3px;
+  -webkit-border-top-left-radius: 3px;
+  border-bottom-left-radius: 0;
+  -webkit-border-bottom-left-radius: 0;
+}
+
+.outline-content>li:first-of-type>.outline-item::after {
+  content: "";
+  width: 1px;
+  height: 100%;
+  position: absolute;
+  z-index: 35;
+  left: -8px;
+  top: -2px;
+  border-left: 1px solid var(--bg-color);
+}
+
+.outline-content>li:last-of-type>.outline-item::before,
+.outline-content>li ul>li:last-of-type>.outline-item::before {
+  z-index: 90;
+  background: rgba(0, 0, 0, 0);
+  border-left: 1px solid var(--border-color);
+  border-bottom: 1px solid var(--border-color);
+  border-top: none !important;
+  border-bottom-left-radius: 3px;
+  -webkit-border-bottom-left-radius: 3px;
+  border-top-left-radius: 0;
+  -webkit-border-top-left-radius: 0;
+}
+
+.outline-content>li:only-of-type>.outline-item::before,
+.outline-content>li:last-of-type::before {
+  display: none;
+}
+
+.outline-content>li:only-of-type {
+  margin-left: -6px;
+}
+
+.outline-expander {
+  padding-left: 0;
+  width: auto;
+  height: 8px;
+  background: rgba(0, 0, 0, 0);
+}
+
+.outline-expander:before {
+  font-size: 10px;
+  padding: 0 4px 0 2px;
+  margin-top: -2px;
+  margin-left: -2px;
+  background: rgba(0, 0, 0, 0);
+}
+
+.outline-item:hover,
+.outline-item:hover>.outline-expander:before,
+.outline-item:hover>.outline-expander {
+  background: var(--active-file-bg-color) !important;
+  color: var(--text-color) !important;
+}
+
+li>.outline-item-active {
+  background: var(--active-file-bg-color);
+}
+
+.outline-item:hover::before,
+.outline-item-active::before {
+  width: 7px !important;
+}
+
+.outline-item-active .outline-expander {
+  font-weight: 900 !important;
+}
+
+.ty-on-outline-filter .outline-content li::before,
+.ty-on-outline-filter .outline-content .outline-item::before,
+.ty-on-outline-filter .outline-content .outline-item::after {
+  display: none;
+}
+
+.ty-on-outline-filter .outline-content>li>ul,
+.ty-on-outline-filter .outline-content .outline-item {
+  margin-left: 0;
+}
+
+/* =========================================================================
+   7. Typora Chrome
+   ========================================================================= */
+
+/* File library list and search. */
+#file-library-list,
+#file-library-search-result {
+  padding: 12px;
+}
+
+#file-library-list .file-list-item,
+#file-library-search-result .ty-search-item {
+  margin-bottom: 8px;
+  border: 1px solid rgba(0, 0, 0, 0);
+  border-bottom-color: var(--border-color);
+}
+
+#file-library-list .file-list-item {
+  padding-left: 12px;
+  padding-right: 12px;
+}
+
+#file-library-list .file-list-item.active,
+#file-library-search-result .ty-search-item.active {
+  border-radius: 5px;
+  border: 1px solid var(--text-color);
+}
+
+#file-library-list .file-list-item.active {
+  padding: 6px 12px;
+}
+
+#file-library-search-result .ty-search-item.active {
+  padding: 6px 12px 6px 0;
+}
+
+#file-library-list .file-list-item:first-of-type.active,
+#file-library-search-result .ty-search-item:first-of-type.active {
+  margin-top: 0;
+}
+
+#file-library-list .file-list-item:hover,
+#file-library-search-result .ty-search-item:hover {
+  border-radius: 5px;
+  background: var(--active-file-bg-color);
+  border-color: var(--border-color);
+}
+
+#file-library-search-result .ty-search-item.active {
+  color: var(--text-color);
+}
+
+#file-library-search-result .ty-search-item.active .ty-search-item-line {
+  white-space: normal;
+  word-break: break-word;
+}
+
+.file-list-item-time {
+  margin-right: 0;
+  padding-right: 0;
+}
+
+.file-list-item-count {
+  margin-right: 0;
+  padding: 0 6px;
+  border-radius: 3px;
+}
+
+#file-library-search-result .ty-search-item.active .file-list-item-count {
+  padding-right: 0;
+}
+
+#sidebar-loading-template {
+  padding: 8px;
+  border-radius: 5px;
+  margin-bottom: 5px;
+  display: none;
+}
+
+.ty-file-search-match-text {
+  background-color: var(--color-2-0-c);
+}
+
+/* File tree. */
+#file-library-tree {
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+  padding-left: 13.7136px;
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+<div class="typora-export-sidebar"><div class="outline-content"><li class="outline-item-wrapper outline-h1"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#02---mnist-model-training--visualization">02 - MNIST Model Training &amp; Visualization</a></div><ul class="outline-children"><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#1-load-data-from-duckdb">1. Load Data from DuckDB</a></div><ul class="outline-children"></ul></li><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#2-create-pytorch-dataloaders">2. Create PyTorch DataLoaders</a></div><ul class="outline-children"></ul></li><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#3-define-the-neural-network">3. Define the Neural Network</a></div><ul class="outline-children"></ul></li><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#4-training-loop">4. Training Loop</a></div><ul class="outline-children"></ul></li><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#5-training-curves">5. Training Curves</a></div><ul class="outline-children"></ul></li><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#6-confusion-matrix">6. Confusion Matrix</a></div><ul class="outline-children"></ul></li><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#7-misclassified-examples">7. Misclassified Examples</a></div><ul class="outline-children"></ul></li><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#8-save-model--training-results-to-duckdb">8. Save Model &amp; Training Results to DuckDB</a></div><ul class="outline-children"></ul></li><li class="outline-item-wrapper outline-h2"><div class="outline-item"><span class="outline-expander"></span><a class="outline-label" href="#9-experiment-ideas">9. Experiment Ideas</a></div><ul class="outline-children"></ul></li></ul></li></div></div><div id='write'  class=''><h1 id='02---mnist-model-training--visualization'><span>02 - MNIST Model Training &amp; Visualization</span></h1><p><span>This notebook trains a neural network on MNIST data loaded from DuckDB, then visualizes:</span></p><ul><li><p><span>Training loss &amp; accuracy curves</span></p></li><li><p><span>Confusion matrix</span></p></li><li><p><span>Per-digit accuracy</span></p></li><li><p><span>Misclassified examples</span></p></li></ul><p><strong><span>Key ML Concepts Covered:</span></strong></p><ul><li><p><span>Neural network architecture (layers, activations)</span></p></li><li><p><span>Forward/backward propagation</span></p></li><li><p><span>Loss functions &amp; optimizers</span></p></li><li><p><span>Batch training with DataLoaders</span></p></li><li><p><span>Overfitting detection (train vs validation)</span></p></li></ul><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">numpy</span> <span class="cm-keyword">as</span> <span class="cm-variable">np</span></span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">duckdb</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">torch</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">torch</span>.<span class="cm-property">nn</span> <span class="cm-keyword">as</span> <span class="cm-variable">nn</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">from</span> <span class="cm-variable">torch</span>.<span class="cm-property">utils</span>.<span class="cm-property">data</span> <span class="cm-keyword">import</span> <span class="cm-variable">DataLoader</span>, <span class="cm-variable">TensorDataset</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">matplotlib</span>.<span class="cm-property">pyplot</span> <span class="cm-keyword">as</span> <span class="cm-variable">plt</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">seaborn</span> <span class="cm-keyword">as</span> <span class="cm-variable">sns</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">from</span> <span class="cm-variable">sklearn</span>.<span class="cm-property">metrics</span> <span class="cm-keyword">import</span> <span class="cm-variable">confusion_matrix</span>, <span class="cm-variable">classification_report</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">from</span> <span class="cm-variable">pathlib</span> <span class="cm-keyword">import</span> <span class="cm-variable">Path</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">from</span> <span class="cm-variable">tqdm</span>.<span class="cm-property">notebook</span> <span class="cm-keyword">import</span> <span class="cm-variable">tqdm</span></span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 251px;"></div><div class="CodeMirror-gutters" style="display: none; height: 251px;"></div></div></div></pre><h2 id='1-load-data-from-duckdb'><span>1. Load Data from DuckDB</span></h2><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python" style="break-inside: unset;"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><span><span>​</span>x</span></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span> <span class="cm-operator">=</span> <span class="cm-variable">duckdb</span>.<span class="cm-property">connect</span>(<span class="cm-builtin">str</span>(<span class="cm-variable">Path</span>(<span class="cm-string">'../data/mnist.duckdb'</span>)), <span class="cm-variable">read_only</span><span class="cm-operator">=</span><span class="cm-keyword">True</span>)</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">train_data</span> <span class="cm-operator">=</span> <span class="cm-variable">con</span>.<span class="cm-property">execute</span>(<span class="cm-string">"SELECT * FROM mnist WHERE split='train'"</span>).<span class="cm-property">fetchnumpy</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">test_data</span> <span class="cm-operator">=</span> <span class="cm-variable">con</span>.<span class="cm-property">execute</span>(<span class="cm-string">"SELECT * FROM mnist WHERE split='test'"</span>).<span class="cm-property">fetchnumpy</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span>.<span class="cm-property">close</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-comment"># Extract pixel columns and labels</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">px_cols</span> <span class="cm-operator">=</span> [<span class="cm-string">f'px</span>{<span class="cm-variable">i</span>}<span class="cm-string">'</span> <span class="cm-keyword">for</span> <span class="cm-variable">i</span> <span class="cm-keyword">in</span> <span class="cm-builtin">range</span>(<span class="cm-number">784</span>)]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">X_train</span> <span class="cm-operator">=</span> <span class="cm-variable">np</span>.<span class="cm-property">column_stack</span>([<span class="cm-variable">train_data</span>[<span class="cm-variable">c</span>] <span class="cm-keyword">for</span> <span class="cm-variable">c</span> <span class="cm-keyword">in</span> <span class="cm-variable">px_cols</span>]).<span class="cm-property">astype</span>(<span class="cm-variable">np</span>.<span class="cm-property">float32</span>) <span class="cm-operator">/</span> <span class="cm-number">255.0</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">y_train</span> <span class="cm-operator">=</span> <span class="cm-variable">train_data</span>[<span class="cm-string">'label'</span>].<span class="cm-property">astype</span>(<span class="cm-variable">np</span>.<span class="cm-property">int64</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">X_test</span> <span class="cm-operator">=</span> <span class="cm-variable">np</span>.<span class="cm-property">column_stack</span>([<span class="cm-variable">test_data</span>[<span class="cm-variable">c</span>] <span class="cm-keyword">for</span> <span class="cm-variable">c</span> <span class="cm-keyword">in</span> <span class="cm-variable">px_cols</span>]).<span class="cm-property">astype</span>(<span class="cm-variable">np</span>.<span class="cm-property">float32</span>) <span class="cm-operator">/</span> <span class="cm-number">255.0</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">y_test</span> <span class="cm-operator">=</span> <span class="cm-variable">test_data</span>[<span class="cm-string">'label'</span>].<span class="cm-property">astype</span>(<span class="cm-variable">np</span>.<span class="cm-property">int64</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-builtin">print</span>(<span class="cm-string">f'Train: </span>{<span class="cm-variable">X_train</span>.<span class="cm-property">shape</span>}<span class="cm-string">, Test: </span>{<span class="cm-variable">X_test</span>.<span class="cm-property">shape</span>}<span class="cm-string">'</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 351px;"></div><div class="CodeMirror-gutters" style="display: none; height: 351px;"></div></div></div></pre><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang=""><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang=""><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Train: (60000, 784), Test: (10000, 784)</span></pre></div></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 25px;"></div><div class="CodeMirror-gutters" style="display: none; height: 25px;"></div></div></div></pre><h2 id='2-create-pytorch-dataloaders'><span>2. Create PyTorch DataLoaders</span></h2><p><span>DataLoaders handle batching and shuffling. Batch size is a key hyperparameter:</span></p><ul><li><p><strong><span>Smaller batches</span></strong><span> → noisier gradients, can help escape local minima</span></p></li><li><p><strong><span>Larger batches</span></strong><span> → smoother gradients, faster training per epoch</span></p></li></ul><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">BATCH_SIZE</span> <span class="cm-operator">=</span> <span class="cm-number">128</span></span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">train_ds</span> <span class="cm-operator">=</span> <span class="cm-variable">TensorDataset</span>(<span class="cm-variable">torch</span>.<span class="cm-property">tensor</span>(<span class="cm-variable">X_train</span>), <span class="cm-variable">torch</span>.<span class="cm-property">tensor</span>(<span class="cm-variable">y_train</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">test_ds</span> <span class="cm-operator">=</span> <span class="cm-variable">TensorDataset</span>(<span class="cm-variable">torch</span>.<span class="cm-property">tensor</span>(<span class="cm-variable">X_test</span>), <span class="cm-variable">torch</span>.<span class="cm-property">tensor</span>(<span class="cm-variable">y_test</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">train_loader</span> <span class="cm-operator">=</span> <span class="cm-variable">DataLoader</span>(<span class="cm-variable">train_ds</span>, <span class="cm-variable">batch_size</span><span class="cm-operator">=</span><span class="cm-variable">BATCH_SIZE</span>, <span class="cm-variable">shuffle</span><span class="cm-operator">=</span><span class="cm-keyword">True</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">test_loader</span> <span class="cm-operator">=</span> <span class="cm-variable">DataLoader</span>(<span class="cm-variable">test_ds</span>, <span class="cm-variable">batch_size</span><span class="cm-operator">=</span><span class="cm-variable">BATCH_SIZE</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 176px;"></div><div class="CodeMirror-gutters" style="display: none; height: 176px;"></div></div></div></pre><h2 id='3-define-the-neural-network'><span>3. Define the Neural Network</span></h2><p><span>Architecture: 784 → 256 → 128 → 10</span></p><p><strong><span>Key parameters to experiment with:</span></strong></p><ul><li><p><span>Hidden layer sizes (try 64, 128, 256, 512)</span></p></li><li><p><span>Number of layers (try 1-4 hidden layers)</span></p></li><li><p><span>Activation function (ReLU, Sigmoid, Tanh)</span></p></li><li><p><span>Dropout rate (regularization to prevent overfitting)</span></p></li></ul><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python" style="break-inside: unset;"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">class</span> <span class="cm-def">MNISTNet</span>(<span class="cm-variable">nn</span>.<span class="cm-property">Module</span>):</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-keyword">def</span> <span class="cm-def">__init__</span>(<span class="cm-variable-2">self</span>, <span class="cm-variable">hidden1</span><span class="cm-operator">=</span><span class="cm-number">256</span>, <span class="cm-variable">hidden2</span><span class="cm-operator">=</span><span class="cm-number">128</span>, <span class="cm-variable">dropout</span><span class="cm-operator">=</span><span class="cm-number">0.2</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-builtin">super</span>().<span class="cm-property">__init__</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable-2">self</span>.<span class="cm-property">net</span> <span class="cm-operator">=</span> <span class="cm-variable">nn</span>.<span class="cm-property">Sequential</span>(</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">nn</span>.<span class="cm-property">Linear</span>(<span class="cm-number">784</span>, <span class="cm-variable">hidden1</span>),</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">nn</span>.<span class="cm-property">ReLU</span>(),</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">nn</span>.<span class="cm-property">Dropout</span>(<span class="cm-variable">dropout</span>),</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">nn</span>.<span class="cm-property">Linear</span>(<span class="cm-variable">hidden1</span>, <span class="cm-variable">hidden2</span>),</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">nn</span>.<span class="cm-property">ReLU</span>(),</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">nn</span>.<span class="cm-property">Dropout</span>(<span class="cm-variable">dropout</span>),</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">nn</span>.<span class="cm-property">Linear</span>(<span class="cm-variable">hidden2</span>, <span class="cm-number">10</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp;  )</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-keyword">def</span> <span class="cm-def">forward</span>(<span class="cm-variable-2">self</span>, <span class="cm-variable">x</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-keyword">return</span> <span class="cm-variable-2">self</span>.<span class="cm-property">net</span>(<span class="cm-variable">x</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">device</span> <span class="cm-operator">=</span> <span class="cm-variable">torch</span>.<span class="cm-property">device</span>(<span class="cm-string">'cuda'</span> <span class="cm-keyword">if</span> <span class="cm-variable">torch</span>.<span class="cm-property">cuda</span>.<span class="cm-property">is_available</span>() <span class="cm-keyword">else</span> <span class="cm-string">'cpu'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-builtin">print</span>(<span class="cm-string">f'Using device: </span>{<span class="cm-variable">device</span>}<span class="cm-string">'</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 451px;"></div><div class="CodeMirror-gutters" style="display: none; height: 451px;"></div></div></div></pre><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang=""><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang=""><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Using device: cpu</span></pre></div></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 25px;"></div><div class="CodeMirror-gutters" style="display: none; height: 25px;"></div></div></div></pre><h2 id='4-training-loop'><span>4. Training Loop</span></h2><p><strong><span>Hyperparameters:</span></strong></p><ul><li><p><code>lr</code><span> (learning rate): How big each optimization step is. Too high → diverges. Too low → slow.</span></p></li><li><p><code>epochs</code><span>: Number of full passes through the training data.</span></p></li><li><p><code>optimizer</code><span>: Adam adapts learning rate per-parameter. SGD is simpler but needs tuning.</span></p></li></ul><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-comment"># === HYPERPARAMETERS (experiment with these!) ===</span></span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">EPOCHS</span> <span class="cm-operator">=</span> <span class="cm-number">15</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">LEARNING_RATE</span> <span class="cm-operator">=</span> <span class="cm-number">1e-3</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">HIDDEN1</span> <span class="cm-operator">=</span> <span class="cm-number">256</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">HIDDEN2</span> <span class="cm-operator">=</span> <span class="cm-number">128</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">DROPOUT</span> <span class="cm-operator">=</span> <span class="cm-number">0.2</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">model</span> <span class="cm-operator">=</span> <span class="cm-variable">MNISTNet</span>(<span class="cm-variable">HIDDEN1</span>, <span class="cm-variable">HIDDEN2</span>, <span class="cm-variable">DROPOUT</span>).<span class="cm-property">to</span>(<span class="cm-variable">device</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">criterion</span> <span class="cm-operator">=</span> <span class="cm-variable">nn</span>.<span class="cm-property">CrossEntropyLoss</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">optimizer</span> <span class="cm-operator">=</span> <span class="cm-variable">torch</span>.<span class="cm-property">optim</span>.<span class="cm-property">Adam</span>(<span class="cm-variable">model</span>.<span class="cm-property">parameters</span>(), <span class="cm-variable">lr</span><span class="cm-operator">=</span><span class="cm-variable">LEARNING_RATE</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-builtin">print</span>(<span class="cm-string">f'Model parameters: </span>{<span class="cm-builtin">sum</span>(<span class="cm-variable">p</span>.<span class="cm-property">numel</span>() <span class="cm-keyword">for</span> <span class="cm-variable">p</span> <span class="cm-keyword">in</span> <span class="cm-variable">model</span>.<span class="cm-property">parameters</span>()):,}<span class="cm-string">'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-builtin">print</span>(<span class="cm-variable">model</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 326px;"></div><div class="CodeMirror-gutters" style="display: none; height: 326px;"></div></div></div></pre><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang=""><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang=""><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Model parameters: 235,146</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">MNISTNet(</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">  (net): Sequential(</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp;  (0): Linear(in_features=784, out_features=256, bias=True)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp;  (1): ReLU()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp;  (2): Dropout(p=0.2, inplace=False)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp;  (3): Linear(in_features=256, out_features=128, bias=True)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp;  (4): ReLU()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp;  (5): Dropout(p=0.2, inplace=False)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp;  (6): Linear(in_features=128, out_features=10, bias=True)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">  )</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">)</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 301px;"></div><div class="CodeMirror-gutters" style="display: none; height: 301px;"></div></div></div></pre><p>&nbsp;</p><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python" style="break-inside: unset;"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-comment"># Training with metrics tracking</span></span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">history</span> <span class="cm-operator">=</span> {<span class="cm-string">'train_loss'</span>: [], <span class="cm-string">'train_acc'</span>: [], <span class="cm-string">'test_loss'</span>: [], <span class="cm-string">'test_acc'</span>: []}</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">for</span> <span class="cm-variable">epoch</span> <span class="cm-keyword">in</span> <span class="cm-variable">tqdm</span>(<span class="cm-builtin">range</span>(<span class="cm-variable">EPOCHS</span>), <span class="cm-variable">desc</span><span class="cm-operator">=</span><span class="cm-string">'Training'</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-comment"># Train</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">model</span>.<span class="cm-property">train</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">running_loss</span>, <span class="cm-variable">correct</span>, <span class="cm-variable">total</span> <span class="cm-operator">=</span> <span class="cm-number">0.0</span>, <span class="cm-number">0</span>, <span class="cm-number">0</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-keyword">for</span> <span class="cm-variable">X_batch</span>, <span class="cm-variable">y_batch</span> <span class="cm-keyword">in</span> <span class="cm-variable">train_loader</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">X_batch</span>, <span class="cm-variable">y_batch</span> <span class="cm-operator">=</span> <span class="cm-variable">X_batch</span>.<span class="cm-property">to</span>(<span class="cm-variable">device</span>), <span class="cm-variable">y_batch</span>.<span class="cm-property">to</span>(<span class="cm-variable">device</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">optimizer</span>.<span class="cm-property">zero_grad</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">outputs</span> <span class="cm-operator">=</span> <span class="cm-variable">model</span>(<span class="cm-variable">X_batch</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">loss</span> <span class="cm-operator">=</span> <span class="cm-variable">criterion</span>(<span class="cm-variable">outputs</span>, <span class="cm-variable">y_batch</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">loss</span>.<span class="cm-property">backward</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">optimizer</span>.<span class="cm-property">step</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">running_loss</span> <span class="cm-operator">+=</span> <span class="cm-variable">loss</span>.<span class="cm-property">item</span>() <span class="cm-operator">*</span> <span class="cm-builtin">len</span>(<span class="cm-variable">y_batch</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">correct</span> <span class="cm-operator">+=</span> (<span class="cm-variable">outputs</span>.<span class="cm-property">argmax</span>(<span class="cm-number">1</span>) <span class="cm-operator">==</span> <span class="cm-variable">y_batch</span>).<span class="cm-property">sum</span>().<span class="cm-property">item</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">total</span> <span class="cm-operator">+=</span> <span class="cm-builtin">len</span>(<span class="cm-variable">y_batch</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">history</span>[<span class="cm-string">'train_loss'</span>].<span class="cm-property">append</span>(<span class="cm-variable">running_loss</span> <span class="cm-operator">/</span> <span class="cm-variable">total</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">history</span>[<span class="cm-string">'train_acc'</span>].<span class="cm-property">append</span>(<span class="cm-variable">correct</span> <span class="cm-operator">/</span> <span class="cm-variable">total</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-comment"># Evaluate</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">model</span>.<span class="cm-property">eval</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">running_loss</span>, <span class="cm-variable">correct</span>, <span class="cm-variable">total</span> <span class="cm-operator">=</span> <span class="cm-number">0.0</span>, <span class="cm-number">0</span>, <span class="cm-number">0</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-keyword">with</span> <span class="cm-variable">torch</span>.<span class="cm-property">no_grad</span>():</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-keyword">for</span> <span class="cm-variable">X_batch</span>, <span class="cm-variable">y_batch</span> <span class="cm-keyword">in</span> <span class="cm-variable">test_loader</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">X_batch</span>, <span class="cm-variable">y_batch</span> <span class="cm-operator">=</span> <span class="cm-variable">X_batch</span>.<span class="cm-property">to</span>(<span class="cm-variable">device</span>), <span class="cm-variable">y_batch</span>.<span class="cm-property">to</span>(<span class="cm-variable">device</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">outputs</span> <span class="cm-operator">=</span> <span class="cm-variable">model</span>(<span class="cm-variable">X_batch</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">loss</span> <span class="cm-operator">=</span> <span class="cm-variable">criterion</span>(<span class="cm-variable">outputs</span>, <span class="cm-variable">y_batch</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">running_loss</span> <span class="cm-operator">+=</span> <span class="cm-variable">loss</span>.<span class="cm-property">item</span>() <span class="cm-operator">*</span> <span class="cm-builtin">len</span>(<span class="cm-variable">y_batch</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">correct</span> <span class="cm-operator">+=</span> (<span class="cm-variable">outputs</span>.<span class="cm-property">argmax</span>(<span class="cm-number">1</span>) <span class="cm-operator">==</span> <span class="cm-variable">y_batch</span>).<span class="cm-property">sum</span>().<span class="cm-property">item</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">total</span> <span class="cm-operator">+=</span> <span class="cm-builtin">len</span>(<span class="cm-variable">y_batch</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">history</span>[<span class="cm-string">'test_loss'</span>].<span class="cm-property">append</span>(<span class="cm-variable">running_loss</span> <span class="cm-operator">/</span> <span class="cm-variable">total</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">history</span>[<span class="cm-string">'test_acc'</span>].<span class="cm-property">append</span>(<span class="cm-variable">correct</span> <span class="cm-operator">/</span> <span class="cm-variable">total</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-builtin">print</span>(<span class="cm-string">f"Epoch </span>{<span class="cm-variable">epoch</span><span class="cm-operator">+</span><span class="cm-number">1</span>:<span class="cm-number">2</span><span class="cm-variable">d</span>}<span class="cm-string"> | Train Loss: </span>{<span class="cm-variable">history</span>[<span class="cm-string">'train_loss'</span>][<span class="cm-operator">-</span><span class="cm-number">1</span>]:<span class="cm-number">.4</span><span class="cm-variable">f</span>}<span class="cm-string"> Acc: </span>{<span class="cm-variable">history</span>[<span class="cm-string">'train_acc'</span>][<span class="cm-operator">-</span><span class="cm-number">1</span>]:<span class="cm-number">.4</span><span class="cm-variable">f</span>}<span class="cm-string"> | "</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-string">f"Test Loss: </span>{<span class="cm-variable">history</span>[<span class="cm-string">'test_loss'</span>][<span class="cm-operator">-</span><span class="cm-number">1</span>]:<span class="cm-number">.4</span><span class="cm-variable">f</span>}<span class="cm-string"> Acc: </span>{<span class="cm-variable">history</span>[<span class="cm-string">'test_acc'</span>][<span class="cm-operator">-</span><span class="cm-number">1</span>]:<span class="cm-number">.4</span><span class="cm-variable">f</span>}<span class="cm-string">"</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 928px;"></div><div class="CodeMirror-gutters" style="display: none; height: 928px;"></div></div></div></pre><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang=""><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang=""><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Training: &nbsp; 0%| &nbsp; &nbsp; &nbsp; &nbsp;  | 0/15 [00:00&lt;?, ?it/s]</span></pre></div></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 25px;"></div><div class="CodeMirror-gutters" style="display: none; height: 25px;"></div></div></div></pre><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="" style="break-inside: unset;"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang=""><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch  1 | Train Loss: 0.3803 Acc: 0.8898 | Test Loss: 0.1511 Acc: 0.9547</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch  2 | Train Loss: 0.1498 Acc: 0.9547 | Test Loss: 0.1011 Acc: 0.9693</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch  3 | Train Loss: 0.1079 Acc: 0.9671 | Test Loss: 0.0837 Acc: 0.9731</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch  4 | Train Loss: 0.0836 Acc: 0.9739 | Test Loss: 0.0759 Acc: 0.9762</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch  5 | Train Loss: 0.0703 Acc: 0.9781 | Test Loss: 0.0729 Acc: 0.9775</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch  6 | Train Loss: 0.0585 Acc: 0.9814 | Test Loss: 0.0722 Acc: 0.9782</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch  7 | Train Loss: 0.0532 Acc: 0.9825 | Test Loss: 0.0709 Acc: 0.9804</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch  8 | Train Loss: 0.0444 Acc: 0.9861 | Test Loss: 0.0724 Acc: 0.9783</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch  9 | Train Loss: 0.0422 Acc: 0.9861 | Test Loss: 0.0615 Acc: 0.9816</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch 10 | Train Loss: 0.0350 Acc: 0.9888 | Test Loss: 0.0631 Acc: 0.9828</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch 11 | Train Loss: 0.0358 Acc: 0.9887 | Test Loss: 0.0622 Acc: 0.9821</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch 12 | Train Loss: 0.0307 Acc: 0.9894 | Test Loss: 0.0670 Acc: 0.9817</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch 13 | Train Loss: 0.0294 Acc: 0.9904 | Test Loss: 0.0677 Acc: 0.9827</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch 14 | Train Loss: 0.0264 Acc: 0.9906 | Test Loss: 0.0659 Acc: 0.9818</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Epoch 15 | Train Loss: 0.0251 Acc: 0.9916 | Test Loss: 0.0653 Acc: 0.9826</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 376px;"></div><div class="CodeMirror-gutters" style="display: none; height: 376px;"></div></div></div></pre><h2 id='5-training-curves'><span>5. Training Curves</span></h2><p><strong><span>What to look for:</span></strong></p><ul><li><p><span>If test loss increases while train loss decreases → </span><strong><span>overfitting</span></strong><span> (try more dropout, fewer parameters)</span></p></li><li><p><span>If both losses plateau high → </span><strong><span>underfitting</span></strong><span> (try more parameters, lower dropout)</span></p></li><li><p><span>Gap between train/test accuracy shows generalization</span></p></li></ul><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python" style="break-inside: unset;"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">fig</span>, (<span class="cm-variable">ax1</span>, <span class="cm-variable">ax2</span>) <span class="cm-operator">=</span> <span class="cm-variable">plt</span>.<span class="cm-property">subplots</span>(<span class="cm-number">1</span>, <span class="cm-number">2</span>, <span class="cm-variable">figsize</span><span class="cm-operator">=</span>(<span class="cm-number">12</span>, <span class="cm-number">4</span>))</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax1</span>.<span class="cm-property">plot</span>(<span class="cm-variable">history</span>[<span class="cm-string">'train_loss'</span>], <span class="cm-variable">label</span><span class="cm-operator">=</span><span class="cm-string">'Train'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax1</span>.<span class="cm-property">plot</span>(<span class="cm-variable">history</span>[<span class="cm-string">'test_loss'</span>], <span class="cm-variable">label</span><span class="cm-operator">=</span><span class="cm-string">'Test'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax1</span>.<span class="cm-property">set_xlabel</span>(<span class="cm-string">'Epoch'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax1</span>.<span class="cm-property">set_ylabel</span>(<span class="cm-string">'Loss'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax1</span>.<span class="cm-property">set_title</span>(<span class="cm-string">'Loss Curve'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax1</span>.<span class="cm-property">legend</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax1</span>.<span class="cm-property">grid</span>(<span class="cm-keyword">True</span>, <span class="cm-variable">alpha</span><span class="cm-operator">=</span><span class="cm-number">0.3</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax2</span>.<span class="cm-property">plot</span>(<span class="cm-variable">history</span>[<span class="cm-string">'train_acc'</span>], <span class="cm-variable">label</span><span class="cm-operator">=</span><span class="cm-string">'Train'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax2</span>.<span class="cm-property">plot</span>(<span class="cm-variable">history</span>[<span class="cm-string">'test_acc'</span>], <span class="cm-variable">label</span><span class="cm-operator">=</span><span class="cm-string">'Test'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax2</span>.<span class="cm-property">set_xlabel</span>(<span class="cm-string">'Epoch'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax2</span>.<span class="cm-property">set_ylabel</span>(<span class="cm-string">'Accuracy'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax2</span>.<span class="cm-property">set_title</span>(<span class="cm-string">'Accuracy Curve'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax2</span>.<span class="cm-property">legend</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">ax2</span>.<span class="cm-property">grid</span>(<span class="cm-keyword">True</span>, <span class="cm-variable">alpha</span><span class="cm-operator">=</span><span class="cm-number">0.3</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">tight_layout</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">show</span>()</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 502px;"></div><div class="CodeMirror-gutters" style="display: none; height: 502px;"></div></div></div></pre><p><span>  </span><br/><img src="../02_model_training_files/02_model_training_12_0.png" alt="png">
+<span>    </span></p><h2 id='6-confusion-matrix'><span>6. Confusion Matrix</span></h2><p><span>Shows which digits get confused with each other (e.g., 4↔9, 3↔5 are common).</span></p><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python" style="break-inside: unset;"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">model</span>.<span class="cm-property">eval</span>()</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">all_preds</span>, <span class="cm-variable">all_labels</span> <span class="cm-operator">=</span> [], []</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">with</span> <span class="cm-variable">torch</span>.<span class="cm-property">no_grad</span>():</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-keyword">for</span> <span class="cm-variable">X_batch</span>, <span class="cm-variable">y_batch</span> <span class="cm-keyword">in</span> <span class="cm-variable">test_loader</span>:</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">preds</span> <span class="cm-operator">=</span> <span class="cm-variable">model</span>(<span class="cm-variable">X_batch</span>.<span class="cm-property">to</span>(<span class="cm-variable">device</span>)).<span class="cm-property">argmax</span>(<span class="cm-number">1</span>).<span class="cm-property">cpu</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">all_preds</span>.<span class="cm-property">append</span>(<span class="cm-variable">preds</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">all_labels</span>.<span class="cm-property">append</span>(<span class="cm-variable">y_batch</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">all_preds</span> <span class="cm-operator">=</span> <span class="cm-variable">torch</span>.<span class="cm-property">cat</span>(<span class="cm-variable">all_preds</span>).<span class="cm-property">numpy</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">all_labels</span> <span class="cm-operator">=</span> <span class="cm-variable">torch</span>.<span class="cm-property">cat</span>(<span class="cm-variable">all_labels</span>).<span class="cm-property">numpy</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">cm</span> <span class="cm-operator">=</span> <span class="cm-variable">confusion_matrix</span>(<span class="cm-variable">all_labels</span>, <span class="cm-variable">all_preds</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">figure</span>(<span class="cm-variable">figsize</span><span class="cm-operator">=</span>(<span class="cm-number">8</span>, <span class="cm-number">6</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">sns</span>.<span class="cm-property">heatmap</span>(<span class="cm-variable">cm</span>, <span class="cm-variable">annot</span><span class="cm-operator">=</span><span class="cm-keyword">True</span>, <span class="cm-variable">fmt</span><span class="cm-operator">=</span><span class="cm-string">'d'</span>, <span class="cm-variable">cmap</span><span class="cm-operator">=</span><span class="cm-string">'Blues'</span>,</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;<span class="cm-variable">xticklabels</span><span class="cm-operator">=</span><span class="cm-builtin">range</span>(<span class="cm-number">10</span>), <span class="cm-variable">yticklabels</span><span class="cm-operator">=</span><span class="cm-builtin">range</span>(<span class="cm-number">10</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">xlabel</span>(<span class="cm-string">'Predicted'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">ylabel</span>(<span class="cm-string">'Actual'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">title</span>(<span class="cm-string">'Confusion Matrix'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">show</span>()</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 476px;"></div><div class="CodeMirror-gutters" style="display: none; height: 476px;"></div></div></div></pre><p><span>  </span><br/><img src="../02_model_training_files/02_model_training_14_0.png" alt="png">
+<span>    </span></p><p>&nbsp;</p><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-builtin">print</span>(<span class="cm-variable">classification_report</span>(<span class="cm-variable">all_labels</span>, <span class="cm-variable">all_preds</span>, <span class="cm-variable">digits</span><span class="cm-operator">=</span><span class="cm-number">4</span>))</span></pre></div></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 25px;"></div><div class="CodeMirror-gutters" style="display: none; height: 25px;"></div></div></div></pre><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="" style="break-inside: unset;"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang=""><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp;  precision &nbsp;  recall  f1-score &nbsp; support</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 0 &nbsp; &nbsp; 0.9798 &nbsp;  0.9908 &nbsp;  0.9853 &nbsp; &nbsp; &nbsp; 980</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 1 &nbsp; &nbsp; 0.9877 &nbsp;  0.9930 &nbsp;  0.9903 &nbsp; &nbsp;  1135</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 2 &nbsp; &nbsp; 0.9872 &nbsp;  0.9700 &nbsp;  0.9785 &nbsp; &nbsp;  1032</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 3 &nbsp; &nbsp; 0.9861 &nbsp;  0.9832 &nbsp;  0.9846 &nbsp; &nbsp;  1010</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 4 &nbsp; &nbsp; 0.9825 &nbsp;  0.9725 &nbsp;  0.9775 &nbsp; &nbsp; &nbsp; 982</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 5 &nbsp; &nbsp; 0.9898 &nbsp;  0.9798 &nbsp;  0.9848 &nbsp; &nbsp; &nbsp; 892</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 6 &nbsp; &nbsp; 0.9864 &nbsp;  0.9875 &nbsp;  0.9870 &nbsp; &nbsp; &nbsp; 958</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 7 &nbsp; &nbsp; 0.9806 &nbsp;  0.9815 &nbsp;  0.9810 &nbsp; &nbsp;  1028</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 8 &nbsp; &nbsp; 0.9785 &nbsp;  0.9805 &nbsp;  0.9795 &nbsp; &nbsp; &nbsp; 974</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 9 &nbsp; &nbsp; 0.9679 &nbsp;  0.9861 &nbsp;  0.9769 &nbsp; &nbsp;  1009</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp;  accuracy &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; &nbsp; 0.9826 &nbsp; &nbsp; 10000</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; macro avg &nbsp; &nbsp; 0.9827 &nbsp;  0.9825 &nbsp;  0.9825 &nbsp; &nbsp; 10000</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">weighted avg &nbsp; &nbsp; 0.9826 &nbsp;  0.9826 &nbsp;  0.9826 &nbsp; &nbsp; 10000</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 401px;"></div><div class="CodeMirror-gutters" style="display: none; height: 401px;"></div></div></div></pre><p><span>    </span></p><h2 id='7-misclassified-examples'><span>7. Misclassified Examples</span></h2><p><span>Seeing what the model gets wrong helps understand its weaknesses.</span></p><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">wrong_idx</span> <span class="cm-operator">=</span> <span class="cm-variable">np</span>.<span class="cm-property">where</span>(<span class="cm-variable">all_preds</span> <span class="cm-operator">!=</span> <span class="cm-variable">all_labels</span>)[<span class="cm-number">0</span>][:<span class="cm-number">10</span>]</span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">fig</span>, <span class="cm-variable">axes</span> <span class="cm-operator">=</span> <span class="cm-variable">plt</span>.<span class="cm-property">subplots</span>(<span class="cm-number">2</span>, <span class="cm-number">5</span>, <span class="cm-variable">figsize</span><span class="cm-operator">=</span>(<span class="cm-number">12</span>, <span class="cm-number">5</span>))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">for</span> <span class="cm-variable">i</span>, <span class="cm-variable">idx</span> <span class="cm-keyword">in</span> <span class="cm-builtin">enumerate</span>(<span class="cm-variable">wrong_idx</span>):</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">ax</span> <span class="cm-operator">=</span> <span class="cm-variable">axes</span>[<span class="cm-variable">i</span> <span class="cm-operator">//</span> <span class="cm-number">5</span>, <span class="cm-variable">i</span> <span class="cm-operator">%</span> <span class="cm-number">5</span>]</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">ax</span>.<span class="cm-property">imshow</span>(<span class="cm-variable">X_test</span>[<span class="cm-variable">idx</span>].<span class="cm-property">reshape</span>(<span class="cm-number">28</span>, <span class="cm-number">28</span>), <span class="cm-variable">cmap</span><span class="cm-operator">=</span><span class="cm-string">'gray'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">ax</span>.<span class="cm-property">set_title</span>(<span class="cm-string">f'True: </span>{<span class="cm-variable">all_labels</span>[<span class="cm-variable">idx</span>]}<span class="cm-string">\nPred: </span>{<span class="cm-variable">all_preds</span>[<span class="cm-variable">idx</span>]}<span class="cm-string">'</span>, <span class="cm-variable">color</span><span class="cm-operator">=</span><span class="cm-string">'red'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"> &nbsp; &nbsp;<span class="cm-variable">ax</span>.<span class="cm-property">axis</span>(<span class="cm-string">'off'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">suptitle</span>(<span class="cm-string">'Misclassified Examples'</span>, <span class="cm-variable">fontsize</span><span class="cm-operator">=</span><span class="cm-number">14</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">tight_layout</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">plt</span>.<span class="cm-property">show</span>()</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 276px;"></div><div class="CodeMirror-gutters" style="display: none; height: 276px;"></div></div></div></pre><p><span>  </span><br/><img src="../02_model_training_files/02_model_training_17_0.png" alt="png">
+<span>    </span></p><h2 id='8-save-model--training-results-to-duckdb'><span>8. Save Model &amp; Training Results to DuckDB</span></h2><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang="python" style="break-inside: unset;"><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang="python"><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-keyword">import</span> <span class="cm-variable">pandas</span> <span class="cm-keyword">as</span> <span class="cm-variable">pd</span></span></pre></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-comment"># Save training history</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">history_df</span> <span class="cm-operator">=</span> <span class="cm-variable">pd</span>.<span class="cm-property">DataFrame</span>(<span class="cm-variable">history</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">history_df</span>[<span class="cm-string">'epoch'</span>] <span class="cm-operator">=</span> <span class="cm-builtin">range</span>(<span class="cm-number">1</span>, <span class="cm-variable">EPOCHS</span> <span class="cm-operator">+</span> <span class="cm-number">1</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span> <span class="cm-operator">=</span> <span class="cm-variable">duckdb</span>.<span class="cm-property">connect</span>(<span class="cm-builtin">str</span>(<span class="cm-variable">Path</span>(<span class="cm-string">'../data/mnist.duckdb'</span>)))</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span>.<span class="cm-property">execute</span>(<span class="cm-string">'DROP TABLE IF EXISTS training_history'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span>.<span class="cm-property">execute</span>(<span class="cm-string">'CREATE TABLE training_history AS SELECT * FROM history_df'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">con</span>.<span class="cm-property">close</span>()</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span cm-text="" cm-zwsp="">
+</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-comment"># Save model weights</span></span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-variable">torch</span>.<span class="cm-property">save</span>(<span class="cm-variable">model</span>.<span class="cm-property">state_dict</span>(), <span class="cm-string">'../data/mnist_model.pth'</span>)</span></pre><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;"><span class="cm-builtin">print</span>(<span class="cm-string">f'Model saved. Final test accuracy: </span>{<span class="cm-variable">history</span>[<span class="cm-string">"test_acc"</span>][<span class="cm-operator">-</span><span class="cm-number">1</span>]:<span class="cm-number">.4</span><span class="cm-variable">f</span>}<span class="cm-string">'</span>)</span></pre></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 351px;"></div><div class="CodeMirror-gutters" style="display: none; height: 351px;"></div></div></div></pre><pre class="md-fences md-end-block ty-contain-cm modeLoaded" spellcheck="false" lang=""><div class="CodeMirror cm-s-inner cm-s-null-scroll CodeMirror-wrap" lang=""><div style="overflow: hidden; position: relative; width: 3px; height: 0px; top: 30.5391px; left: 28px;"><textarea autocorrect="off" autocapitalize="off" spellcheck="false" style="position: absolute; bottom: -1em; padding: 0px; width: 1000px; height: 1em; outline: none;" tabindex="0"></textarea></div><div class="CodeMirror-scrollbar-filler" cm-not-content="true"></div><div class="CodeMirror-gutter-filler" cm-not-content="true"></div><div class="CodeMirror-scroll" tabindex="-1"><div class="CodeMirror-sizer" style="margin-left: 0px; margin-bottom: 0px; border-right-width: 0px; padding-right: 0px; padding-bottom: 0px;"><div style="position: relative; top: 0px;"><div class="CodeMirror-lines" role="presentation"><div role="presentation" style="position: relative; outline: none;"><div class="CodeMirror-measure"><pre><span>xxxxxxxxxx</span></pre></div><div class="CodeMirror-measure"></div><div style="position: relative; z-index: 1;"></div><div class="CodeMirror-code" role="presentation" style="text-rendering: auto;"><div class="CodeMirror-activeline" style="position: relative;"><div class="CodeMirror-activeline-background CodeMirror-linebackground"></div><div class="CodeMirror-gutter-background CodeMirror-activeline-gutter" style="left: 0px; width: 0px;"></div><pre class=" CodeMirror-line " role="presentation"><span role="presentation" style="padding-right: 0.1px;">Model saved. Final test accuracy: 0.9826</span></pre></div></div></div></div></div></div><div style="position: absolute; height: 0px; width: 1px; border-bottom: 0px solid transparent; top: 25px;"></div><div class="CodeMirror-gutters" style="display: none; height: 25px;"></div></div></div></pre><h2 id='9-experiment-ideas'><span>9. Experiment Ideas</span></h2><p><span>Try changing these parameters and re-running to see the effect:</span></p><figure class='table-figure'><table><thead><tr><th><span>Parameter</span></th><th><span>Current</span></th><th><span>Try</span></th></tr></thead><tbody><tr><td><code>LEARNING_RATE</code></td><td><span>0.001</span></td><td><span>0.01, 0.0001</span></td></tr><tr><td><code>HIDDEN1</code></td><td><span>256</span></td><td><span>64, 512</span></td></tr><tr><td><code>HIDDEN2</code></td><td><span>128</span></td><td><span>32, 256</span></td></tr><tr><td><code>DROPOUT</code></td><td><span>0.2</span></td><td><span>0.0, 0.5</span></td></tr><tr><td><code>EPOCHS</code></td><td><span>15</span></td><td><span>5, 30</span></td></tr><tr><td><code>BATCH_SIZE</code></td><td><span>128</span></td><td><span>32, 512</span></td></tr><tr><td><span>Optimizer</span></td><td><span>Adam</span></td><td><span>SGD(lr=0.01, momentum=0.9)</span></td></tr></tbody></table></figure></div></div>
+
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+</html>
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diff --git a/notebooks/01_data_loading.ipynb b/notebooks/01_data_loading.ipynb
new file mode 100644
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+++ b/notebooks/01_data_loading.ipynb
@@ -0,0 +1,537 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 01 - MNIST Data Loading & DuckDB Storage\n",
+    "\n",
+    "This notebook:\n",
+    "1. Reads raw MNIST IDX binary files\n",
+    "2. Stores them in DuckDB for fast SQL-based exploration\n",
+    "3. Visualizes sample digits"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import pandas as pd\n",
+    "import duckdb\n",
+    "import struct\n",
+    "import matplotlib.pyplot as plt\n",
+    "from pathlib import Path"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Load MNIST IDX Files\n",
+    "\n",
+    "The IDX format stores images as raw bytes with a header containing dimensions."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train: 60000 images, 784 pixels each\n",
+      "Test:  10000 images\n"
+     ]
+    }
+   ],
+   "source": [
+    "def read_idx_images(path):\n",
+    "    with open(path, 'rb') as f:\n",
+    "        magic, n, rows, cols = struct.unpack('>IIII', f.read(16))\n",
+    "        return np.frombuffer(f.read(), dtype=np.uint8).reshape(n, rows * cols)\n",
+    "\n",
+    "def read_idx_labels(path):\n",
+    "    with open(path, 'rb') as f:\n",
+    "        magic, n = struct.unpack('>II', f.read(8))\n",
+    "        return np.frombuffer(f.read(), dtype=np.uint8)\n",
+    "\n",
+    "data_dir = Path('../data')\n",
+    "train_images = read_idx_images(data_dir / 'train-images.idx3-ubyte')\n",
+    "train_labels = read_idx_labels(data_dir / 'train-labels.idx1-ubyte')\n",
+    "test_images = read_idx_images(data_dir / 't10k-images.idx3-ubyte')\n",
+    "test_labels = read_idx_labels(data_dir / 't10k-labels.idx1-ubyte')\n",
+    "\n",
+    "print(f'Train: {train_images.shape[0]} images, {train_images.shape[1]} pixels each')\n",
+    "print(f'Test:  {test_images.shape[0]} images')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Store in DuckDB\n",
+    "\n",
+    "We store pixel data as a flat array (784 columns for 28x28) plus the label. This lets us query and filter with SQL."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 3,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Stored 70000 records in DuckDB\n"
+     ]
+    }
+   ],
+   "source": [
+    "db_path = str(data_dir / 'mnist.duckdb')\n",
+    "con = duckdb.connect(db_path)\n",
+    "\n",
+    "# Create train table\n",
+    "train_df = pd.DataFrame(train_images, columns=[f'px{i}' for i in range(784)])\n",
+    "train_df['label'] = train_labels\n",
+    "train_df['split'] = 'train'\n",
+    "\n",
+    "# Create test table\n",
+    "test_df = pd.DataFrame(test_images, columns=[f'px{i}' for i in range(784)])\n",
+    "test_df['label'] = test_labels\n",
+    "test_df['split'] = 'test'\n",
+    "\n",
+    "# Combine and write\n",
+    "all_df = pd.concat([train_df, test_df], ignore_index=True)\n",
+    "con.execute('DROP TABLE IF EXISTS mnist')\n",
+    "con.execute('CREATE TABLE mnist AS SELECT * FROM all_df')\n",
+    "print(f'Stored {len(all_df)} records in DuckDB')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Explore with SQL"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "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>label</th>\n",
+       "      <th>split</th>\n",
+       "      <th>count</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>test</td>\n",
+       "      <td>980</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>0</td>\n",
+       "      <td>train</td>\n",
+       "      <td>5923</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>1</td>\n",
+       "      <td>test</td>\n",
+       "      <td>1135</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>1</td>\n",
+       "      <td>train</td>\n",
+       "      <td>6742</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>2</td>\n",
+       "      <td>test</td>\n",
+       "      <td>1032</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>2</td>\n",
+       "      <td>train</td>\n",
+       "      <td>5958</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>3</td>\n",
+       "      <td>test</td>\n",
+       "      <td>1010</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>3</td>\n",
+       "      <td>train</td>\n",
+       "      <td>6131</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>4</td>\n",
+       "      <td>test</td>\n",
+       "      <td>982</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>4</td>\n",
+       "      <td>train</td>\n",
+       "      <td>5842</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>10</th>\n",
+       "      <td>5</td>\n",
+       "      <td>test</td>\n",
+       "      <td>892</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>11</th>\n",
+       "      <td>5</td>\n",
+       "      <td>train</td>\n",
+       "      <td>5421</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>12</th>\n",
+       "      <td>6</td>\n",
+       "      <td>test</td>\n",
+       "      <td>958</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>13</th>\n",
+       "      <td>6</td>\n",
+       "      <td>train</td>\n",
+       "      <td>5918</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>14</th>\n",
+       "      <td>7</td>\n",
+       "      <td>test</td>\n",
+       "      <td>1028</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>15</th>\n",
+       "      <td>7</td>\n",
+       "      <td>train</td>\n",
+       "      <td>6265</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>16</th>\n",
+       "      <td>8</td>\n",
+       "      <td>test</td>\n",
+       "      <td>974</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>17</th>\n",
+       "      <td>8</td>\n",
+       "      <td>train</td>\n",
+       "      <td>5851</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>18</th>\n",
+       "      <td>9</td>\n",
+       "      <td>test</td>\n",
+       "      <td>1009</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>19</th>\n",
+       "      <td>9</td>\n",
+       "      <td>train</td>\n",
+       "      <td>5949</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "    label  split  count\n",
+       "0       0   test    980\n",
+       "1       0  train   5923\n",
+       "2       1   test   1135\n",
+       "3       1  train   6742\n",
+       "4       2   test   1032\n",
+       "5       2  train   5958\n",
+       "6       3   test   1010\n",
+       "7       3  train   6131\n",
+       "8       4   test    982\n",
+       "9       4  train   5842\n",
+       "10      5   test    892\n",
+       "11      5  train   5421\n",
+       "12      6   test    958\n",
+       "13      6  train   5918\n",
+       "14      7   test   1028\n",
+       "15      7  train   6265\n",
+       "16      8   test    974\n",
+       "17      8  train   5851\n",
+       "18      9   test   1009\n",
+       "19      9  train   5949"
+      ]
+     },
+     "execution_count": 4,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Label distribution\n",
+    "con.execute(\"\"\"\n",
+    "    SELECT label, split, COUNT(*) as count\n",
+    "    FROM mnist\n",
+    "    GROUP BY label, split\n",
+    "    ORDER BY label, split\n",
+    "\"\"\").df()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "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>label</th>\n",
+       "      <th>center_intensity</th>\n",
+       "    </tr>\n",
+       "  </thead>\n",
+       "  <tbody>\n",
+       "    <tr>\n",
+       "      <th>0</th>\n",
+       "      <td>0</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>1</th>\n",
+       "      <td>1</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>2</th>\n",
+       "      <td>2</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>3</th>\n",
+       "      <td>3</td>\n",
+       "      <td>0.1</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>4</th>\n",
+       "      <td>4</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>5</th>\n",
+       "      <td>5</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>6</th>\n",
+       "      <td>6</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>7</th>\n",
+       "      <td>7</td>\n",
+       "      <td>0.6</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>8</th>\n",
+       "      <td>8</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "    <tr>\n",
+       "      <th>9</th>\n",
+       "      <td>9</td>\n",
+       "      <td>0.0</td>\n",
+       "    </tr>\n",
+       "  </tbody>\n",
+       "</table>\n",
+       "</div>"
+      ],
+      "text/plain": [
+       "   label  center_intensity\n",
+       "0      0               0.0\n",
+       "1      1               0.0\n",
+       "2      2               0.0\n",
+       "3      3               0.1\n",
+       "4      4               0.0\n",
+       "5      5               0.0\n",
+       "6      6               0.0\n",
+       "7      7               0.6\n",
+       "8      8               0.0\n",
+       "9      9               0.0"
+      ]
+     },
+     "execution_count": 6,
+     "metadata": {},
+     "output_type": "execute_result"
+    }
+   ],
+   "source": [
+    "# Average pixel intensity per digit\n",
+    "con.execute(\"\"\"\n",
+    "    SELECT label,\n",
+    "           ROUND(AVG(px196::INT + px197::INT + px224::INT + px225::INT), 1) as center_intensity\n",
+    "    FROM mnist WHERE split='train'\n",
+    "    GROUP BY label ORDER BY label\n",
+    "\"\"\").df()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Visualize Sample Digits"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x400 with 10 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, axes = plt.subplots(2, 5, figsize=(10, 4))\n",
+    "for digit in range(10):\n",
+    "    row = con.execute(f\"SELECT * FROM mnist WHERE label={digit} AND split='train' LIMIT 1\").fetchone()\n",
+    "    pixels = np.array(row[:784]).reshape(28, 28)\n",
+    "    ax = axes[digit // 5, digit % 5]\n",
+    "    ax.imshow(pixels, cmap='gray')\n",
+    "    ax.set_title(f'Label: {digit}')\n",
+    "    ax.axis('off')\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 500x500 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "# Pixel intensity heatmap averaged across all training images\n",
+    "avg_pixels = con.execute(\"\"\"\n",
+    "    SELECT {} FROM mnist WHERE split='train'\n",
+    "\"\"\".format(', '.join(f'AVG(px{i}) as px{i}' for i in range(784)))).fetchone()\n",
+    "\n",
+    "plt.figure(figsize=(5, 5))\n",
+    "plt.imshow(np.array(avg_pixels).reshape(28, 28), cmap='hot')\n",
+    "plt.title('Average pixel intensity (all digits)')\n",
+    "plt.colorbar()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "DuckDB connection closed. Database saved at: ..\\data\\mnist.duckdb\n"
+     ]
+    }
+   ],
+   "source": [
+    "con.close()\n",
+    "print('DuckDB connection closed. Database saved at:', db_path)"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "MNIST (Python)",
+   "language": "python",
+   "name": "mnist"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/notebooks/02_model_training.ipynb b/notebooks/02_model_training.ipynb
new file mode 100644
index 0000000..9551608
--- /dev/null
+++ b/notebooks/02_model_training.ipynb
@@ -0,0 +1,533 @@
+{
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "# 02 - MNIST Model Training & Visualization\n",
+    "\n",
+    "This notebook trains a neural network on MNIST data loaded from DuckDB, then visualizes:\n",
+    "- Training loss & accuracy curves\n",
+    "- Confusion matrix\n",
+    "- Per-digit accuracy\n",
+    "- Misclassified examples\n",
+    "\n",
+    "**Key ML Concepts Covered:**\n",
+    "- Neural network architecture (layers, activations)\n",
+    "- Forward/backward propagation\n",
+    "- Loss functions & optimizers\n",
+    "- Batch training with DataLoaders\n",
+    "- Overfitting detection (train vs validation)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import numpy as np\n",
+    "import duckdb\n",
+    "import torch\n",
+    "import torch.nn as nn\n",
+    "from torch.utils.data import DataLoader, TensorDataset\n",
+    "import matplotlib.pyplot as plt\n",
+    "import seaborn as sns\n",
+    "from sklearn.metrics import confusion_matrix, classification_report\n",
+    "from pathlib import Path\n",
+    "from tqdm.notebook import tqdm"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 1. Load Data from DuckDB"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Train: (60000, 784), Test: (10000, 784)\n"
+     ]
+    }
+   ],
+   "source": [
+    "con = duckdb.connect(str(Path('../data/mnist.duckdb')), read_only=True)\n",
+    "\n",
+    "train_data = con.execute(\"SELECT * FROM mnist WHERE split='train'\").fetchnumpy()\n",
+    "test_data = con.execute(\"SELECT * FROM mnist WHERE split='test'\").fetchnumpy()\n",
+    "con.close()\n",
+    "\n",
+    "# Extract pixel columns and labels\n",
+    "px_cols = [f'px{i}' for i in range(784)]\n",
+    "X_train = np.column_stack([train_data[c] for c in px_cols]).astype(np.float32) / 255.0\n",
+    "y_train = train_data['label'].astype(np.int64)\n",
+    "X_test = np.column_stack([test_data[c] for c in px_cols]).astype(np.float32) / 255.0\n",
+    "y_test = test_data['label'].astype(np.int64)\n",
+    "\n",
+    "print(f'Train: {X_train.shape}, Test: {X_test.shape}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 2. Create PyTorch DataLoaders\n",
+    "\n",
+    "DataLoaders handle batching and shuffling. Batch size is a key hyperparameter:\n",
+    "- **Smaller batches** → noisier gradients, can help escape local minima\n",
+    "- **Larger batches** → smoother gradients, faster training per epoch"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "BATCH_SIZE = 32\n",
+    "\n",
+    "train_ds = TensorDataset(torch.tensor(X_train), torch.tensor(y_train))\n",
+    "test_ds = TensorDataset(torch.tensor(X_test), torch.tensor(y_test))\n",
+    "\n",
+    "train_loader = DataLoader(train_ds, batch_size=BATCH_SIZE, shuffle=True)\n",
+    "test_loader = DataLoader(test_ds, batch_size=BATCH_SIZE)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 3. Define the Neural Network\n",
+    "\n",
+    "Architecture: 784 → 256 → 128 → 10\n",
+    "\n",
+    "**Key parameters to experiment with:**\n",
+    "- Hidden layer sizes (try 64, 128, 256, 512)\n",
+    "- Number of layers (try 1-4 hidden layers)\n",
+    "- Activation function (ReLU, Sigmoid, Tanh)\n",
+    "- Dropout rate (regularization to prevent overfitting)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Using device: cpu\n"
+     ]
+    }
+   ],
+   "source": [
+    "class MNISTNet(nn.Module):\n",
+    "    def __init__(self, hidden1=256, hidden2=128, dropout=0.2):\n",
+    "        super().__init__()\n",
+    "        self.net = nn.Sequential(\n",
+    "            nn.Linear(784, hidden1),\n",
+    "            nn.ReLU(),\n",
+    "            nn.Dropout(dropout),\n",
+    "            nn.Linear(hidden1, hidden2),\n",
+    "            nn.ReLU(),\n",
+    "            nn.Dropout(dropout),\n",
+    "            nn.Linear(hidden2, 10)\n",
+    "        )\n",
+    "\n",
+    "    def forward(self, x):\n",
+    "        return self.net(x)\n",
+    "\n",
+    "device = torch.device('cuda' if torch.cuda.is_available() else 'cpu')\n",
+    "print(f'Using device: {device}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 4. Training Loop\n",
+    "\n",
+    "**Hyperparameters:**\n",
+    "- `lr` (learning rate): How big each optimization step is. Too high → diverges. Too low → slow.\n",
+    "- `epochs`: Number of full passes through the training data.\n",
+    "- `optimizer`: Adam adapts learning rate per-parameter. SGD is simpler but needs tuning."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 5,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model parameters: 235,146\n",
+      "MNISTNet(\n",
+      "  (net): Sequential(\n",
+      "    (0): Linear(in_features=784, out_features=256, bias=True)\n",
+      "    (1): ReLU()\n",
+      "    (2): Dropout(p=0.2, inplace=False)\n",
+      "    (3): Linear(in_features=256, out_features=128, bias=True)\n",
+      "    (4): ReLU()\n",
+      "    (5): Dropout(p=0.2, inplace=False)\n",
+      "    (6): Linear(in_features=128, out_features=10, bias=True)\n",
+      "  )\n",
+      ")\n"
+     ]
+    }
+   ],
+   "source": [
+    "# === HYPERPARAMETERS (experiment with these!) ===\n",
+    "EPOCHS = 15\n",
+    "LEARNING_RATE = 1e-3\n",
+    "HIDDEN1 = 256\n",
+    "HIDDEN2 = 128\n",
+    "DROPOUT = 0.2\n",
+    "\n",
+    "model = MNISTNet(HIDDEN1, HIDDEN2, DROPOUT).to(device)\n",
+    "criterion = nn.CrossEntropyLoss()\n",
+    "optimizer = torch.optim.Adam(model.parameters(), lr=LEARNING_RATE)\n",
+    "\n",
+    "print(f'Model parameters: {sum(p.numel() for p in model.parameters()):,}')\n",
+    "print(model)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 6,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "40c8fa44b05646f6a477aa9682899b80",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "Training:   0%|          | 0/15 [00:00<?, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Epoch  1 | Train Loss: 0.3803 Acc: 0.8898 | Test Loss: 0.1511 Acc: 0.9547\n",
+      "Epoch  2 | Train Loss: 0.1498 Acc: 0.9547 | Test Loss: 0.1011 Acc: 0.9693\n",
+      "Epoch  3 | Train Loss: 0.1079 Acc: 0.9671 | Test Loss: 0.0837 Acc: 0.9731\n",
+      "Epoch  4 | Train Loss: 0.0836 Acc: 0.9739 | Test Loss: 0.0759 Acc: 0.9762\n",
+      "Epoch  5 | Train Loss: 0.0703 Acc: 0.9781 | Test Loss: 0.0729 Acc: 0.9775\n",
+      "Epoch  6 | Train Loss: 0.0585 Acc: 0.9814 | Test Loss: 0.0722 Acc: 0.9782\n",
+      "Epoch  7 | Train Loss: 0.0532 Acc: 0.9825 | Test Loss: 0.0709 Acc: 0.9804\n",
+      "Epoch  8 | Train Loss: 0.0444 Acc: 0.9861 | Test Loss: 0.0724 Acc: 0.9783\n",
+      "Epoch  9 | Train Loss: 0.0422 Acc: 0.9861 | Test Loss: 0.0615 Acc: 0.9816\n",
+      "Epoch 10 | Train Loss: 0.0350 Acc: 0.9888 | Test Loss: 0.0631 Acc: 0.9828\n",
+      "Epoch 11 | Train Loss: 0.0358 Acc: 0.9887 | Test Loss: 0.0622 Acc: 0.9821\n",
+      "Epoch 12 | Train Loss: 0.0307 Acc: 0.9894 | Test Loss: 0.0670 Acc: 0.9817\n",
+      "Epoch 13 | Train Loss: 0.0294 Acc: 0.9904 | Test Loss: 0.0677 Acc: 0.9827\n",
+      "Epoch 14 | Train Loss: 0.0264 Acc: 0.9906 | Test Loss: 0.0659 Acc: 0.9818\n",
+      "Epoch 15 | Train Loss: 0.0251 Acc: 0.9916 | Test Loss: 0.0653 Acc: 0.9826\n"
+     ]
+    }
+   ],
+   "source": [
+    "# Training with metrics tracking\n",
+    "history = {'train_loss': [], 'train_acc': [], 'test_loss': [], 'test_acc': []}\n",
+    "\n",
+    "for epoch in tqdm(range(EPOCHS), desc='Training'):\n",
+    "    # Train\n",
+    "    model.train()\n",
+    "    running_loss, correct, total = 0.0, 0, 0\n",
+    "    for X_batch, y_batch in train_loader:\n",
+    "        X_batch, y_batch = X_batch.to(device), y_batch.to(device)\n",
+    "        optimizer.zero_grad()\n",
+    "        outputs = model(X_batch)\n",
+    "        loss = criterion(outputs, y_batch)\n",
+    "        loss.backward()\n",
+    "        optimizer.step()\n",
+    "        running_loss += loss.item() * len(y_batch)\n",
+    "        correct += (outputs.argmax(1) == y_batch).sum().item()\n",
+    "        total += len(y_batch)\n",
+    "    history['train_loss'].append(running_loss / total)\n",
+    "    history['train_acc'].append(correct / total)\n",
+    "\n",
+    "    # Evaluate\n",
+    "    model.eval()\n",
+    "    running_loss, correct, total = 0.0, 0, 0\n",
+    "    with torch.no_grad():\n",
+    "        for X_batch, y_batch in test_loader:\n",
+    "            X_batch, y_batch = X_batch.to(device), y_batch.to(device)\n",
+    "            outputs = model(X_batch)\n",
+    "            loss = criterion(outputs, y_batch)\n",
+    "            running_loss += loss.item() * len(y_batch)\n",
+    "            correct += (outputs.argmax(1) == y_batch).sum().item()\n",
+    "            total += len(y_batch)\n",
+    "    history['test_loss'].append(running_loss / total)\n",
+    "    history['test_acc'].append(correct / total)\n",
+    "\n",
+    "    print(f\"Epoch {epoch+1:2d} | Train Loss: {history['train_loss'][-1]:.4f} Acc: {history['train_acc'][-1]:.4f} | \"\n",
+    "          f\"Test Loss: {history['test_loss'][-1]:.4f} Acc: {history['test_acc'][-1]:.4f}\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 5. Training Curves\n",
+    "\n",
+    "**What to look for:**\n",
+    "- If test loss increases while train loss decreases → **overfitting** (try more dropout, fewer parameters)\n",
+    "- If both losses plateau high → **underfitting** (try more parameters, lower dropout)\n",
+    "- Gap between train/test accuracy shows generalization"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 7,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x400 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "fig, (ax1, ax2) = plt.subplots(1, 2, figsize=(12, 4))\n",
+    "\n",
+    "ax1.plot(history['train_loss'], label='Train')\n",
+    "ax1.plot(history['test_loss'], label='Test')\n",
+    "ax1.set_xlabel('Epoch')\n",
+    "ax1.set_ylabel('Loss')\n",
+    "ax1.set_title('Loss Curve')\n",
+    "ax1.legend()\n",
+    "ax1.grid(True, alpha=0.3)\n",
+    "\n",
+    "ax2.plot(history['train_acc'], label='Train')\n",
+    "ax2.plot(history['test_acc'], label='Test')\n",
+    "ax2.set_xlabel('Epoch')\n",
+    "ax2.set_ylabel('Accuracy')\n",
+    "ax2.set_title('Accuracy Curve')\n",
+    "ax2.legend()\n",
+    "ax2.grid(True, alpha=0.3)\n",
+    "\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 6. Confusion Matrix\n",
+    "\n",
+    "Shows which digits get confused with each other (e.g., 4↔9, 3↔5 are common)."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 8,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 800x600 with 2 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "model.eval()\n",
+    "all_preds, all_labels = [], []\n",
+    "with torch.no_grad():\n",
+    "    for X_batch, y_batch in test_loader:\n",
+    "        preds = model(X_batch.to(device)).argmax(1).cpu()\n",
+    "        all_preds.append(preds)\n",
+    "        all_labels.append(y_batch)\n",
+    "\n",
+    "all_preds = torch.cat(all_preds).numpy()\n",
+    "all_labels = torch.cat(all_labels).numpy()\n",
+    "\n",
+    "cm = confusion_matrix(all_labels, all_preds)\n",
+    "plt.figure(figsize=(8, 6))\n",
+    "sns.heatmap(cm, annot=True, fmt='d', cmap='Blues',\n",
+    "            xticklabels=range(10), yticklabels=range(10))\n",
+    "plt.xlabel('Predicted')\n",
+    "plt.ylabel('Actual')\n",
+    "plt.title('Confusion Matrix')\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 9,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "              precision    recall  f1-score   support\n",
+      "\n",
+      "           0     0.9798    0.9908    0.9853       980\n",
+      "           1     0.9877    0.9930    0.9903      1135\n",
+      "           2     0.9872    0.9700    0.9785      1032\n",
+      "           3     0.9861    0.9832    0.9846      1010\n",
+      "           4     0.9825    0.9725    0.9775       982\n",
+      "           5     0.9898    0.9798    0.9848       892\n",
+      "           6     0.9864    0.9875    0.9870       958\n",
+      "           7     0.9806    0.9815    0.9810      1028\n",
+      "           8     0.9785    0.9805    0.9795       974\n",
+      "           9     0.9679    0.9861    0.9769      1009\n",
+      "\n",
+      "    accuracy                         0.9826     10000\n",
+      "   macro avg     0.9827    0.9825    0.9825     10000\n",
+      "weighted avg     0.9826    0.9826    0.9826     10000\n",
+      "\n"
+     ]
+    }
+   ],
+   "source": [
+    "print(classification_report(all_labels, all_preds, digits=4))"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 7. Misclassified Examples\n",
+    "\n",
+    "Seeing what the model gets wrong helps understand its weaknesses."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 10,
+   "metadata": {},
+   "outputs": [
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1200x500 with 10 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    }
+   ],
+   "source": [
+    "wrong_idx = np.where(all_preds != all_labels)[0][:10]\n",
+    "\n",
+    "fig, axes = plt.subplots(2, 5, figsize=(12, 5))\n",
+    "for i, idx in enumerate(wrong_idx):\n",
+    "    ax = axes[i // 5, i % 5]\n",
+    "    ax.imshow(X_test[idx].reshape(28, 28), cmap='gray')\n",
+    "    ax.set_title(f'True: {all_labels[idx]}\\nPred: {all_preds[idx]}', color='red')\n",
+    "    ax.axis('off')\n",
+    "plt.suptitle('Misclassified Examples', fontsize=14)\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 8. Save Model & Training Results to DuckDB"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 11,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Model saved. Final test accuracy: 0.9826\n"
+     ]
+    }
+   ],
+   "source": [
+    "import pandas as pd\n",
+    "\n",
+    "# Save training history\n",
+    "history_df = pd.DataFrame(history)\n",
+    "history_df['epoch'] = range(1, EPOCHS + 1)\n",
+    "\n",
+    "con = duckdb.connect(str(Path('../data/mnist.duckdb')))\n",
+    "con.execute('DROP TABLE IF EXISTS training_history')\n",
+    "con.execute('CREATE TABLE training_history AS SELECT * FROM history_df')\n",
+    "con.close()\n",
+    "\n",
+    "# Save model weights\n",
+    "torch.save(model.state_dict(), '../data/mnist_model.pth')\n",
+    "print(f'Model saved. Final test accuracy: {history[\"test_acc\"][-1]:.4f}')"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## 9. Experiment Ideas\n",
+    "\n",
+    "Try changing these parameters and re-running to see the effect:\n",
+    "\n",
+    "| Parameter | Current | Try |\n",
+    "|-----------|---------|-----|\n",
+    "| `LEARNING_RATE` | 0.001 | 0.01, 0.0001 |\n",
+    "| `HIDDEN1` | 256 | 64, 512 |\n",
+    "| `HIDDEN2` | 128 | 32, 256 |\n",
+    "| `DROPOUT` | 0.2 | 0.0, 0.5 |\n",
+    "| `EPOCHS` | 15 | 5, 30 |\n",
+    "| `BATCH_SIZE` | 128 | 32, 512 |\n",
+    "| Optimizer | Adam | SGD(lr=0.01, momentum=0.9) |"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "MNIST (Python)",
+   "language": "python",
+   "name": "mnist"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.11.4"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 4
+}
diff --git a/requirements.txt b/requirements.txt
new file mode 100644
index 0000000..a1a4e65
--- /dev/null
+++ b/requirements.txt
@@ -0,0 +1,21 @@
+# Jupyter & VSCode notebook support
+jupyter==1.1.1
+ipykernel==6.29.5
+ipywidgets==8.1.5
+
+# Data & Database
+numpy==1.26.4
+pandas==2.2.3
+duckdb==1.5.2
+
+# ML Framework
+torch==2.5.1
+torchvision==0.20.1
+
+# Visualization
+matplotlib==3.9.3
+seaborn==0.13.2
+tqdm==4.67.1
+
+# Utilities
+scikit-learn==1.6.0