6 files changed, 75 insertions, 75 deletions

diff --git a/reference/index.html b/reference/index.html
index 0a3ea7d0..a9940f00 100644
--- a/reference/index.html
+++ b/reference/index.html
@@ -496,7 +496,7 @@
 <dd class="field-odd"><p>3.0rc2.dev0</p>
 </dd>
 <dt class="field-even">Date<span class="colon">:</span></dt>
-<dd class="field-even"><p>Dec 14, 2022</p>
+<dd class="field-even"><p>Dec 15, 2022</p>
 </dd>
 </dl>
 </div></blockquote>
diff --git a/reference/introduction-7.hires.png b/reference/introduction-7.hires.png
index 83f07105..53cc5d7a 100644
--- a/reference/introduction-7.hires.png
+++ b/reference/introduction-7.hires.png
diff --git a/reference/introduction-7.pdf b/reference/introduction-7.pdf
index 952cd809..fbfb1345 100644
--- a/reference/introduction-7.pdf
+++ b/reference/introduction-7.pdf
diff --git a/reference/introduction-7.png b/reference/introduction-7.png
index 164c0006..8bb8edae 100644
--- a/reference/introduction-7.png
+++ b/reference/introduction-7.png
diff --git a/reference/introduction.ipynb b/reference/introduction.ipynb
index c992f273..91fb240d 100644
--- a/reference/introduction.ipynb
+++ b/reference/introduction.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "c88afbd5",
+   "id": "78882f52",
    "metadata": {},
    "source": [
     "## Introduction\n",
@@ -34,7 +34,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "37692d81",
+   "id": "b1e0dcc9",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -43,7 +43,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ac42d6a2",
+   "id": "5dfeb316",
    "metadata": {},
    "source": [
     "To save repetition, in the documentation we assume that\n",
@@ -82,7 +82,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "3ebfc7eb",
+   "id": "f036b34a",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -94,7 +94,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "57bc3f5f",
+   "id": "62377211",
    "metadata": {},
    "source": [
     "All graph classes allow any [hashable](https://docs.python.org/3/glossary.html#term-hashable) object as a node.\n",
@@ -193,7 +193,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "36bf8f12",
+   "id": "35fc0967",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -205,7 +205,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eda59355",
+   "id": "b59836b4",
    "metadata": {},
    "source": [
     "Edge attributes can be anything:"
@@ -214,7 +214,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "4a1d901f",
+   "id": "a0af949c",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -225,7 +225,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "20bfe7e0",
+   "id": "0b169000",
    "metadata": {},
    "source": [
     "You can add many edges at one time:"
@@ -234,7 +234,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "338b6d96",
+   "id": "af2e02a5",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -246,7 +246,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4892385b",
+   "id": "0f49dfeb",
    "metadata": {},
    "source": [
     "See the Tutorial for more examples.\n",
@@ -311,7 +311,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "49927773",
+   "id": "d99a99dd",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -323,7 +323,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0cf697e9",
+   "id": "98b46216",
    "metadata": {},
    "source": [
     "# Drawing\n",
@@ -344,7 +344,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "6a3cde4f",
+   "id": "11a0be27",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -358,7 +358,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "032623c0",
+   "id": "a3e7daf4",
    "metadata": {},
    "source": [
     "See the examples for more ideas.\n",
@@ -398,7 +398,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "d53d92e7",
+   "id": "2af1ffc6",
    "metadata": {},
    "outputs": [],
    "source": [
@@ -410,7 +410,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "28f41ebb",
+   "id": "95c97c18",
    "metadata": {},
    "source": [
     "The data structure gets morphed slightly for each base graph class.\n",
@@ -428,7 +428,7 @@
   {
    "cell_type": "code",
    "execution_count": null,
-   "id": "bdd117df",
+   "id": "fbdfaf69",
    "metadata": {},
    "outputs": [],
    "source": [
diff --git a/reference/introduction_full.ipynb b/reference/introduction_full.ipynb
index 958e3b2b..a153c1db 100644
--- a/reference/introduction_full.ipynb
+++ b/reference/introduction_full.ipynb
@@ -2,7 +2,7 @@
  "cells": [
   {
    "cell_type": "markdown",
-   "id": "c88afbd5",
+   "id": "78882f52",
    "metadata": {},
    "source": [
     "## Introduction\n",
@@ -34,13 +34,13 @@
   {
    "cell_type": "code",
    "execution_count": 1,
-   "id": "37692d81",
+   "id": "b1e0dcc9",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-12-14T17:19:48.853645Z",
-     "iopub.status.busy": "2022-12-14T17:19:48.853262Z",
-     "iopub.status.idle": "2022-12-14T17:19:48.928074Z",
-     "shell.execute_reply": "2022-12-14T17:19:48.927381Z"
+     "iopub.execute_input": "2022-12-15T16:09:57.025156Z",
+     "iopub.status.busy": "2022-12-15T16:09:57.024939Z",
+     "iopub.status.idle": "2022-12-15T16:09:57.095130Z",
+     "shell.execute_reply": "2022-12-15T16:09:57.094503Z"
     }
    },
    "outputs": [],
@@ -50,7 +50,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "ac42d6a2",
+   "id": "5dfeb316",
    "metadata": {},
    "source": [
     "To save repetition, in the documentation we assume that\n",
@@ -89,13 +89,13 @@
   {
    "cell_type": "code",
    "execution_count": 2,
-   "id": "3ebfc7eb",
+   "id": "f036b34a",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-12-14T17:19:48.932024Z",
-     "iopub.status.busy": "2022-12-14T17:19:48.931776Z",
-     "iopub.status.idle": "2022-12-14T17:19:48.935270Z",
-     "shell.execute_reply": "2022-12-14T17:19:48.934632Z"
+     "iopub.execute_input": "2022-12-15T16:09:57.098384Z",
+     "iopub.status.busy": "2022-12-15T16:09:57.098162Z",
+     "iopub.status.idle": "2022-12-15T16:09:57.101457Z",
+     "shell.execute_reply": "2022-12-15T16:09:57.100828Z"
     }
    },
    "outputs": [],
@@ -108,7 +108,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "57bc3f5f",
+   "id": "62377211",
    "metadata": {},
    "source": [
     "All graph classes allow any [hashable](https://docs.python.org/3/glossary.html#term-hashable) object as a node.\n",
@@ -207,13 +207,13 @@
   {
    "cell_type": "code",
    "execution_count": 3,
-   "id": "36bf8f12",
+   "id": "35fc0967",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-12-14T17:19:48.938430Z",
-     "iopub.status.busy": "2022-12-14T17:19:48.938212Z",
-     "iopub.status.idle": "2022-12-14T17:19:48.941744Z",
-     "shell.execute_reply": "2022-12-14T17:19:48.941095Z"
+     "iopub.execute_input": "2022-12-15T16:09:57.104166Z",
+     "iopub.status.busy": "2022-12-15T16:09:57.103954Z",
+     "iopub.status.idle": "2022-12-15T16:09:57.107235Z",
+     "shell.execute_reply": "2022-12-15T16:09:57.106619Z"
     }
    },
    "outputs": [],
@@ -226,7 +226,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "eda59355",
+   "id": "b59836b4",
    "metadata": {},
    "source": [
     "Edge attributes can be anything:"
@@ -235,13 +235,13 @@
   {
    "cell_type": "code",
    "execution_count": 4,
-   "id": "4a1d901f",
+   "id": "a0af949c",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-12-14T17:19:48.944837Z",
-     "iopub.status.busy": "2022-12-14T17:19:48.944620Z",
-     "iopub.status.idle": "2022-12-14T17:19:48.947791Z",
-     "shell.execute_reply": "2022-12-14T17:19:48.947157Z"
+     "iopub.execute_input": "2022-12-15T16:09:57.110117Z",
+     "iopub.status.busy": "2022-12-15T16:09:57.109918Z",
+     "iopub.status.idle": "2022-12-15T16:09:57.113026Z",
+     "shell.execute_reply": "2022-12-15T16:09:57.112424Z"
     }
    },
    "outputs": [],
@@ -253,7 +253,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "20bfe7e0",
+   "id": "0b169000",
    "metadata": {},
    "source": [
     "You can add many edges at one time:"
@@ -262,13 +262,13 @@
   {
    "cell_type": "code",
    "execution_count": 5,
-   "id": "338b6d96",
+   "id": "af2e02a5",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-12-14T17:19:48.950861Z",
-     "iopub.status.busy": "2022-12-14T17:19:48.950647Z",
-     "iopub.status.idle": "2022-12-14T17:19:48.954581Z",
-     "shell.execute_reply": "2022-12-14T17:19:48.953938Z"
+     "iopub.execute_input": "2022-12-15T16:09:57.115703Z",
+     "iopub.status.busy": "2022-12-15T16:09:57.115492Z",
+     "iopub.status.idle": "2022-12-15T16:09:57.119229Z",
+     "shell.execute_reply": "2022-12-15T16:09:57.118617Z"
     }
    },
    "outputs": [],
@@ -281,7 +281,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "4892385b",
+   "id": "0f49dfeb",
    "metadata": {},
    "source": [
     "See the Tutorial for more examples.\n",
@@ -346,13 +346,13 @@
   {
    "cell_type": "code",
    "execution_count": 6,
-   "id": "49927773",
+   "id": "d99a99dd",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-12-14T17:19:48.957605Z",
-     "iopub.status.busy": "2022-12-14T17:19:48.957394Z",
-     "iopub.status.idle": "2022-12-14T17:19:48.961733Z",
-     "shell.execute_reply": "2022-12-14T17:19:48.961102Z"
+     "iopub.execute_input": "2022-12-15T16:09:57.122042Z",
+     "iopub.status.busy": "2022-12-15T16:09:57.121840Z",
+     "iopub.status.idle": "2022-12-15T16:09:57.126072Z",
+     "shell.execute_reply": "2022-12-15T16:09:57.125445Z"
     }
    },
    "outputs": [
@@ -373,7 +373,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "0cf697e9",
+   "id": "98b46216",
    "metadata": {},
    "source": [
     "# Drawing\n",
@@ -394,19 +394,19 @@
   {
    "cell_type": "code",
    "execution_count": 7,
-   "id": "6a3cde4f",
+   "id": "11a0be27",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-12-14T17:19:48.966408Z",
-     "iopub.status.busy": "2022-12-14T17:19:48.966187Z",
-     "iopub.status.idle": "2022-12-14T17:19:49.545192Z",
-     "shell.execute_reply": "2022-12-14T17:19:49.543040Z"
+     "iopub.execute_input": "2022-12-15T16:09:57.130192Z",
+     "iopub.status.busy": "2022-12-15T16:09:57.129981Z",
+     "iopub.status.idle": "2022-12-15T16:09:57.669598Z",
+     "shell.execute_reply": "2022-12-15T16:09:57.667825Z"
     }
    },
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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\n",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -426,7 +426,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "032623c0",
+   "id": "a3e7daf4",
    "metadata": {},
    "source": [
     "See the examples for more ideas.\n",
@@ -466,13 +466,13 @@
   {
    "cell_type": "code",
    "execution_count": 8,
-   "id": "d53d92e7",
+   "id": "2af1ffc6",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-12-14T17:19:49.548837Z",
-     "iopub.status.busy": "2022-12-14T17:19:49.548421Z",
-     "iopub.status.idle": "2022-12-14T17:19:49.552473Z",
-     "shell.execute_reply": "2022-12-14T17:19:49.551811Z"
+     "iopub.execute_input": "2022-12-15T16:09:57.672801Z",
+     "iopub.status.busy": "2022-12-15T16:09:57.672448Z",
+     "iopub.status.idle": "2022-12-15T16:09:57.676336Z",
+     "shell.execute_reply": "2022-12-15T16:09:57.675684Z"
     }
    },
    "outputs": [
@@ -493,7 +493,7 @@
   },
   {
    "cell_type": "markdown",
-   "id": "28f41ebb",
+   "id": "95c97c18",
    "metadata": {},
    "source": [
     "The data structure gets morphed slightly for each base graph class.\n",
@@ -511,13 +511,13 @@
   {
    "cell_type": "code",
    "execution_count": 9,
-   "id": "bdd117df",
+   "id": "fbdfaf69",
    "metadata": {
     "execution": {
-     "iopub.execute_input": "2022-12-14T17:19:49.556358Z",
-     "iopub.status.busy": "2022-12-14T17:19:49.556136Z",
-     "iopub.status.idle": "2022-12-14T17:19:49.560264Z",
-     "shell.execute_reply": "2022-12-14T17:19:49.559612Z"
+     "iopub.execute_input": "2022-12-15T16:09:57.680069Z",
+     "iopub.status.busy": "2022-12-15T16:09:57.679850Z",
+     "iopub.status.idle": "2022-12-15T16:09:57.683843Z",
+     "shell.execute_reply": "2022-12-15T16:09:57.683217Z"
     }
    },
    "outputs": [
@@ -549,7 +549,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.15"
+   "version": "3.9.16"
   }
  },
  "nbformat": 4,