Update nb outputs

Author: AlainKadar

AnisotropicNetworks/NematicTensor.ipynb

@@ -24,7 +24,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 2,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -48,18 +48,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 7,
    "metadata": {},
-   "outputs": [
-    {
-     "name": "stderr",
-     "output_type": "stream",
-     "text": [
-      "/Users/alaink/miniconda3/envs/SGTE-dev/lib/python3.10/site-packages/StructuralGT-0.0.1-py3.10-macosx-11.0-arm64.egg/StructuralGT/networks.py:71: UserWarning: You have specified a 2D network but there are several suitable images in the given directory. By default, StructuralGT will take the first image. To override, specify the prefix argument.\n",
-      "  warnings.warn(\"You have specified a 2D network but there are several suitable images in the given directory. By default, StructuralGT will take the first image. To override, specify the prefix argument.\")\n"
-     ]
-    }
-   ],
+   "outputs": [],
    "source": [
     "Nanowires = Network('Nanowires_all')"
    ]
@@ -100,7 +91,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -127,23 +118,18 @@
   },
   {
    "cell_type": "code",
-   "execution_count": null,
+   "execution_count": 9,
    "metadata": {},
    "outputs": [],
    "source": [
     "#TODO\n",
     "#Nanofibres = Network()"
    ]
-  },
-  {
-   "cell_type": "markdown",
-   "metadata": {},
-   "source": []
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "SGTE-dev",
+   "display_name": "SGT",
    "language": "python",
    "name": "python3"
   },
@@ -157,9 +143,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.13.5"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

Introduction-to-StructuralGT/0-File-layouts.ipynb

@@ -13,7 +13,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 5,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -30,24 +30,9 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": null,
    "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "9558f4f7da63426f8d06bfb830f874fa",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "interactive(children=(Dropdown(description='Threshold', layout=Layout(display='flex', flex_flow='row', justify…"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "from StructuralGT import Binarizer\n",
     "\n",
@@ -69,7 +54,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 7,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -93,7 +78,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 8,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -133,7 +118,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "SGTE-dev",
+   "display_name": "SGT-dev",
    "language": "python",
    "name": "python3"
   },
@@ -147,9 +132,9 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.13"
+   "version": "3.13.3"
   }
  },
  "nbformat": 4,
- "nbformat_minor": 2
+ "nbformat_minor": 4
 }

Introduction-to-StructuralGT/1-Image-processing.ipynb

@@ -0,0 +1,33 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "d6f1f7e9-67af-4495-a9c9-f9335498cdf7",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "Python 3 (ipykernel)",
+   "language": "python",
+   "name": "python3"
+  },
+  "language_info": {
+   "codemirror_mode": {
+    "name": "ipython",
+    "version": 3
+   },
+   "file_extension": ".py",
+   "mimetype": "text/x-python",
+   "name": "python",
+   "nbconvert_exporter": "python",
+   "pygments_lexer": "ipython3",
+   "version": "3.13.1"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
+}