Example and some path fixes

DeepINN/geometry/domains/domainoperations/sampler_helper.py

@@ -4,7 +4,8 @@
 import torch
 import warnings
 
-from torchphysics.problem.spaces.points import Points
+from ....geometry.spaces.points import Points # some relative path fixing
+#from torchphysics.problem.spaces.points import Points
 
 
 def _inside_random_with_n(main_domain, domain_a, domain_b, n, params, invert, device):

Tutorials/Basic_domains.ipynb

@@ -0,0 +1,66 @@
+{
+ "cells": [
+  {
+   "cell_type": "code",
+   "execution_count": 1,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# This is only valid when the package is not installed\n",
+    "import sys\n",
+    "sys.path.append('/home/hell/Desktop/repos/DeepINN/')"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 2,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stderr",
+     "output_type": "stream",
+     "text": [
+      "Using default backend: PyTorch\n",
+      "Using Pytorch:  2.0.1+cu117\n"
+     ]
+    }
+   ],
+   "source": [
+    "import DeepINN\n",
+    "import DeepINN.geometry as tp"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 4,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "T = tp.spaces.R1('t') # we need a one dimensional space\n",
+    "I = tp.domains.Interval(T,0,5 )"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": ".venv",
+   "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": "3.8.10"
+  },
+  "orig_nbformat": 4
+ },
+ "nbformat": 4,
+ "nbformat_minor": 2
+}