Repository: PMEAL/porespy

Issue:
Replace `sierpinski_foam` with `sierpinski_foam2`, and drop the 2
`sierpinski_foam2` has a more sensible api where you actually specify the image size you want, and it crops accordingly.  I think it would be smart to remove the original one and replace it with v2.  The docstring of the v2 function could explain how to get a proper full image that is not cropped.  There is also an issue about how to do the cropping in the v2 function using a mode (#895).

Hints from issue comments:

Solution patch:
diff --git a/examples/generators/reference/sierpinski_foam.ipynb b/examples/generators/reference/sierpinski_foam.ipynb
index 88f8b5855..60224765f 100644
--- a/examples/generators/reference/sierpinski_foam.ipynb
+++ b/examples/generators/reference/sierpinski_foam.ipynb
@@ -6,12 +6,13 @@
    "metadata": {},
    "source": [
     "# `sierpinski_foam`\n",
-    "The sierpinski gasket is a classic example of a fractal image with self-similar properties across all length scales.  It has also been extensively analyzed so these properties are well know.  The ``sierpinski_foam`` is a 3D version of the gasket."
+    "\n",
+    "The sierpinski gasket is a classic example of a fractal image with self-similar properties across all length scales.  It has also been extensively analyzed so these properties are well know.  The ``sierpinski_foam`` is a 3D version of the gasket, but also produces 2D images."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 2,
    "id": "cf928313",
    "metadata": {
     "execution": {
@@ -21,24 +22,11 @@
      "shell.execute_reply": "2022-04-25T01:54:07.147995Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Signature (dmin, n, ndim=2, max_size=1000000000.0)>"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
+   "outputs": [],
    "source": [
     "import porespy as ps\n",
     "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import inspect\n",
-    "inspect.signature(ps.generators.sierpinski_foam)"
+    "import numpy as np"
    ]
   },
   {
@@ -46,13 +34,16 @@
    "id": "3742857d",
    "metadata": {},
    "source": [
-    "## `dmin` and `n`\n",
-    "This generator does not accept size.  Instead you specify the smallest hole to add with ``dmin`` and the number of scales to create with ``n``:"
+    "## `shape`\n",
+    "\n",
+    "The original version of this generator did not accept shape, and instead its size was dictated by the number of divisions requested.  The new version does except shape and instead it truncates the pattern if the requested number of divisions exceeds the shape. \n",
+    "\n",
+    "In the images below, the image of size 100 by 100 is not symmetrical.  If the full pattern is desired, then the shape must be set to `3**n` in all directions, as shown on the right (`n=5` is the default value)."
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 6,
    "id": "9c3feb12",
    "metadata": {
     "execution": {
@@ -65,133 +56,128 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "3b3182f29e5d4b49aebf2c5292dbcd72",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "<Figure size 864x432 with 2 Axes>"
+       "0it [00:00, ?it/s]"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "dc9e1603d7874a88b0ccab11f6999d25",
+       "version_major": 2,
+       "version_minor": 0
+      },
+      "text/plain": [
+       "0it [00:00, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAA7YAAAG6CAYAAAA8p9rKAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAIUNJREFUeJzt3UuO3Dq0JdC04UEY1Xe/ZhFjzllU3/2CR+F4QL7WNeJDUpSOtrhWUxDFnTQzwwx+9O1+v98/AAAAINT36gAAAACwhYEtAAAA0QxsAQAAiGZgCwAAQDQDWwAAAKIZ2AIAABDNwBYAAIBoBrYAAABE+1EdAAA4h79/flVHAID/+P7z90cLM7YAAABEM7AFAP7j9n/+78Nr/15vvXb0M2WXXXbZZf8or2f2M9/5dr/f792lAIDLsRQZgLOxFBkAAIAlODwKAHjq0XKwz////yLKy15TXvaa8rLXlJe9rvy/zNgCAAAQzcAWABg6tKPnIJC9yrdc26tu2V9f26tu2V9f26tu2V9f26tu2dsZ2AIAABDNHlsAYGiP06P7evZHVZaXvaa87DXlZa8pL/vc8u943Q8A8MXrfgA4G6/7AQAAYAkGtgBA04EjLQeBPDsc5Mhnyi677LLL/lFez+xnvmNgCwAAQDR7bAGAL/bYAnA29tgCAACwBK/7AQCmGNkTteXVDjPJXkP2GrLXkH1fZmwBgGkHgcyou+pglK1kH3/mFrKPP3ML2cefucXK2d8xsAUAACCaw6MAgCmHRyUsVXtG9hqy15C9huxjHB4FAADAEhweBQB0fUt/5MzBlvplHyd7f9kZZO8vO4PsedkfMWMLAABANANbAGBoL9VRp2a+urfl2tZ6Wsk+t55Wss+tp5Xsc+tptXL2dyxFBgCGloLtsWSt55mP7pV9jOxz69mSp+de2cfInpn9HTO2AAAARDNjCwCc9hUTW+qXfZzsNWSvIXuN2fWbsQUAACCagS0A0HTgyL/Xjzpc5Fk9Pddkf0328WduIfv4M7eQPTP7Owa2AAAARPt2v9/v1SEAgHp///zaVH7Lt/vVe71kryF7DdlryD7m+8/fTfcZ2AIAUwa2ADBb68DWUmQAAACiGdgCANMOF+k9xGSPZ8ouu+yyy/5RXs/sZ75jYAsAAEA0e2wBgC/22AJwNvbYAgAAsIQf1QEAgPN6tM+p59UNleVlrykve0152WvKy15X/l9mbAGAoUM7eg4C2at8y7W96pb99bW96pb99bW96pb99bW96pa9nYEtAAAA0SxFBgCGloI9uq9nGVlledlrysteU172mvKyzy3/jhlbAAAAonndDwDwxet+ADgbr/sBAABgCQa2AEDTSZotJ1w+O/XyyGfKLrvsssv+UV7P7Ge+YykyAPDFUmQAzsZSZAAAAJbgdT8AQLyRZWtnMfJaC7bTZ+ilz5ybGVsAAACiGdgCAMscLnJmye2enD1ZcrsnZ092u3C7OzwKAIg/PCr5P58rLBE8I32GXvpMDYdHAQAAsASHRwEAXTMUPd/8V5dPVd1uW8onZ09W3W76TJ7bxdrdjC0AAADRDGwBgKF9ZD0HgexV/kqS2z05e7Lkdk/Onux24XY3sAUAACCaPbYAwNAep0f39eyP2qN8suR2T86eLLndk7Mn+7xwu3vdDwDwxet+alztP84p9Bl66TM1vO4HAACAJRjYAgBNB720HATy7HCQo56ZLLndk7MnS2735OzJrtzuBrYAAABEs8cWAPhij22N5L1vyfQZeukzNeyxBQAAYAle9wMAlM9mJM8mVEtu9+TsyZLbPTl7sltAu5uxBQCmHQQyo26HuuS1e3L2ZMntnpw92e3C7W5gCwAAQDSHRwEAUw6PqlyqljyrUvmzVy/N1GfG6DNj9JnMdnd4FAAAAEtweBQA0PUt/ZEzNtX1V6n+ubfUn5w9WfXPrc/kuV2s3c3YAgAAEM3AFgAY2kt11KmZr+69kuR2T86eLLndk7Mnu1243S1FBgCGloLtsWSt55lXWyqY3O7J2ZMlt3ty9mSfF253M7YAAABEM2MLAJx2tqK6/lV/7i31J2dPVv1z6zN5Pi/W7mZsAQAAiGZgCwA0HfTy7/WjDhd5Vs8Kh7qktHty9mTJ7Z6cPdntwu1uYAsAAEC0b/f7/V4dAgCo9/fPr03lt3y7v3WvVfKsSuXPXr3HTp8Zo8+M0Wcy2/37z99N9zk8CgCYovo/vKtKbvfk7MmS2z05e7LPgHa3FBkAAIBoBrYAwLTDRXoPj5n9zGTJ7Z6cPVlyuydnT3a7cLsb2AIAABDN4VEAwJTDoyolz6ok7F27In2GXvpMjdbDo8zYAgAAEM2pyABA1wxFzzf/1eVTVbfblvLJ2ZNVt5s+k+d2sXY3YwsADC236zkIZK/yV5Lc7snZkyW3e3L2ZLcLt7uBLQAAANEsRQYAhpaCPbqvZxnZHuWTJbd7cvZkye2enD3Z54Xb3YwtAAAA0bzuBwD44nU/Na42I5RCn6GXPlPD634AAABYgoEtANB0gmnLCZfPTr086pnJkts9OXuy5HZPzp7sduF2txQZAPhiKXKN5CWCyfQZeukzNSxFBgAAYAlmbAGA+BlbAK7JjC0AAABLMLAFAC5zuIjssssuu+z/q7qe2c98x1JkAOCLpcgAnI2lyAAAACzhR3UAAOC8Hi0H63ltRGV52WvKy15TXvaa8rLXlf+XGVsAAACiGdgCAEOHdvQcBLJX+ZZre9Ut++tre9Ut++tre9Ut++tre9UtezsDWwAAAKLZYwsADO1xenRfz/6oyvKy15SXvaa87DXlZZ9b/h2v+wEAvnjdDwBn43U/AAAALMHAFgBoOnCk5SCQZ4eDHPlM2WWXXXbZP8rrmf3MdwxsAQAAiGaPLQDwxR5bAM7GHlsAAACW4HU/AMAUI3uitrzaYSbZa8heQ/Yasu/LjC0AMO0gkBl1Vx2MspXs48/cQvbxZ24h+/gzt1g5+zsGtgAAAERzeBQAMOXwqISlas/IXkP2GrLXkH2Mw6MAAABYgsOjAICub+mPnDnYUr/s42TvLzuD7P1lZ5A9L/sjZmwBAACIZmALAAztpTrq1MxX97Zc21pPK9nn1tNK9rn1tJJ9bj2tVs7+jqXIAMDQUrA9lqz1PPPRvbKPkX1uPVvy9Nwr+xjZM7O/Y8YWAACAaGZsAYDTvmJiS/2yj5O9huw1ZK8xu34ztgAAAEQzsAUAmg4c+ff6UYeLPKun55rsr8k+/swtZB9/5hayZ2Z/x8AWAACAaN/u9/u9OgQAUO/vn1+bym/5dr96r5fsNWSvIXsN2cd8//m76T4DWwBgysAWAGZrHdhaigwAAEA0A1sAYNrhIr2HmOzxTNlll1122T/K65n9zHcMbAEAAIhmjy0A8MUeWwDOxh5bAAAAlvCjOgAAcF6P9jn1vLqhsrzsNeVlrykve0152evK/8uMLQAwdGhHz0Ege5VvubZX3bK/vrZX3bK/vrZX3bK/vrZX3bK3M7AFAAAgmqXIAMDQUrBH9/UsI6ssL3tNedlrysteU172ueXfMWMLAABANK/7AQC+eN0PAGfjdT8AAAAswcAWAGg6SbPlhMtnp14e+UzZZZdddtk/yuuZ/cx3LEUGAL5YigzA2ViKDAAAwBKaX/fjW1wAUr/FBfYxslyQtY28xgVamLEFAABgrYFt8oZj2WWXXXbZr5mduZL7guw1z4Reyf1d9vDDoyxFBuBsLEWey2c9vQxy6WUpMr0cHgUAAMASmg+Pav2WrudbmMrysteUl72mvOw15WWvK8881f+Wq/bj5OzQq7q/rvq7egvO/ogZWwAAAKJNOTzq2X2tm4P3Kt9yba+6ZX99ba+6ZX99ba+6ZX99ba+6ZWcvyX1B9mPKw1bJ/V32c/6dMWMLAADAWntsW9c9P7qvZ810ZXnZa8rLXlNe9pryss8tz1zJfUH2mvLQK7m/y37OvzNe9wNALK/7mctnPb0sS6aXL0bo5XU/AAAALGHK4VGtm4OfbRg+8pmyyy677LJfLztzJfcF2WueCb2S+7vs5/w7Y8YWAACAaPbYAhDLHtu5fNbTy+wtveyxpZc9tgAAACyh+3U/Fd/oVX+zI3sN2WvIXkN2riC5L8gOGZL7u+wXOjxqq8rN0lvJPv7MLWQff+YWso8/c4uVszNXcl+QfYzfQY6W3N9lP+ffGUuRAQAAiHbY4VFbRvym3sfJXkP2GrKvl93hUXP5rB+zcnaztyT1uZV/V1f4rDdjCwAAwLqHRz0auR/5bcKW+mUfJ3t/2Rlk7y87g+z9ZWeorp/z/Fus2o+Ts0Naf1v1d/UWnP0RM7YAAABEm3Iq8rP7jjhJ69W9Lde21tNK9rn1tJJ9bj2tZJ9bT6uVszNXcl+QfYzfQY6W3N9lP+ffme6lyK3Tw3tMY/c889G9so+RfW49W/L03Cv7GNnn1rMlz5H1c52+IPsYv4McLbm/y37OvzOWIgMAALDu4VHV39htqV/2cbLXkL2G7DWq6+c8/xar9uPk7JDW31b9Xf0Mzv6IGVsAAACiTTk86tFG4KM2HD+rp+ea7K/JPv7MLWQff+YWso8/szI7cyX3BdnH+B3kaMn9XfZz/p0xYwsAAEC0b/f7/d5y498/vzZVtGXEX73+W/YasteQvYbsY77//L2pPP/ls37MytnN3pLU51b+XV3hs/6wgS0AzGZgO5fPenoZ2JI2QOO6n/WWIgMAABDt0MOjejc27/FM2WWXXXbZr5eduZL7guw1z4Reyf1d9nP+nTFjCwAAQDR7bAGIZY/tXD7r6WX2ll722NLLHlsAAACW8GP2t3Q938JUlpe9przsNeVlrykve1155qn+t1y1Hydnh17V/XXV39VbcPbdDo96dl/r5uC9yrdc26tu2V9f26tu2V9f26tu2V9f26tu2dlLcl+Q/ZjysFVyf5f9nH9nLEUGAABgraXIrdPDj+7rmVquLC97TXnZa8rLXlNe9rnlmSu5L8heUx56Jfd32c/5d8aMLQAAANG87geAWF73M5fPenrZb0svM/708rofAAAAljDlVOTWU6+enYR15DNll1122WW/XnbmSu4Lstc8E3ol93fZz/l3xlJkAGJZijyXz3p6GeTSy1JkelmKDAAAwBK6X/cDAHA2yTOHZrAgg78z52bGFgAAgGgOj5Jddtlllz0+O3PpCzW0OyvR32vcLtzuDo8CIJbDo+ZK/qxP/s9n8hLB5Hanhv5e4zO43R0eBQAAwBJ+zP7WoufbgMrysteUl72mvOw15WWvK8881f+Wq/aF6nZbtd2pUd1fV+3vt4u1uxlbAAAAok05POrZfa2bg/cq33Jtr7plf31tr7plf31tr7plf31tr7plZy/6Qg3tzkr09xq3C7e7GVsAAADW2mPbuu750X09a6Yry8teU172mvKy15SXfW555tIXamh3VqK/1/i8cLt73Q8AsbzuZ67kz/rk5YLJ/3FObndq6O81PoPb3et+AAAAWMKUw6NaNwc/2zB85DNll1122WW/Xnbm0hdqaHdWor/XuF243c3YAgAAEM0eWwBi2WM7V/JnffKsSvLet+R2p4b+XuMzuN3tsQUAAGAJ3a/7qfiGo/obBtlryF5D9hqycwX6Qg3tzkr09xq3gHY/9PCorSoPRtlK9vFnbiH7+DO3kH38mVusnJ259IUa2p2V6O81bhdud0uRAQAAiHbY4VHJywZkryF7DdlryD7G4VFzJX/WJ8+qVP7sK7c7NfT3Gp/B7e7wKAAAAJbwY/bI/ciZgy31yz5O9v6yM8jeX3YG2fvLzlBdP+f5t6iuv0r1z11dP2up7m/V9Ve5XazdzdgCAAAQbcqpyM/uO+IkrVf3tlzbWk8r2efW00r2ufW0kn1uPa1Wzs5c+kIN7c5K9Pcatwu3e/dS5Nbp4T2msXue+ehe2cfIPreeLXl67pV9jOxz69mS58j6+S99oYZ2ZyX6e43PC7e7pcgAAACse3hU9TcYW+qXfZzsNWSvIXuN6vo5z79Fdf2r/tzV9bOW6v5WXf+qP/fn5PrN2AIAABBtyuFRjzYCH7Xh+Fk9Pddkf0328WduIfv4M7eQffyZldmZS1+ood1Zif5e43bhdjdjCwAAQLRv9/v93nLj3z+/NlW0ZcRfvf5b9hqy15C9huxjvv/8vak81/msT55VqfzZV253aujvNT6D2731s/6wgS0AzGZgO1fyZ/3K/+GslNzu1NDfa3wGt3vrZ72lyAAAAEQ79PCo3kNM9nim7LLLLrvs18vOXPpCDe3OSvT3GrcLt7sZWwAAAKLZYwtALHts50r+rE+eVUne+5bc7tTQ32t8Bre7PbYAAAAs4cfsby16vg2oLC97TXnZa8rLXlNe9rryzFP9b7lqX6hut1XbnRrV/XXV/n67WLtPOTzq2X2tm4P3Kt9yba+6ZX99ba+6ZX99ba+6ZX99ba+6ZWcv+kIN7c5K9Pcatwu3u6XIAAAArLUUuXV6+NF9PVPLleVlrykve0152WvKyz63PHPpCzW0OyvR32t8XrjdzdgCAAAQzet+AIjldT9zJX/WJ++DS54RSm53aujvNT6D293rfgAAAFjClFORW0+9enYS1pHPlF122WWX/XrZmUtfqKHdWYn+XuN24Xa3FBmAWJYiz5X8WZ/8n8/kJYLJ7U4N/b3GZ3C7W4oMAADAErpf9wMAcDbJsxFABn9nzs2MLQAAANEcHiW77LLLLnt8duZK7guy1zwTeiX3d9nP+XfG4VEAxHJ41Fw+6+llkEsvy3np5fAoAAAAlvBj9rd0Pd/CVJaXvaa87DXlZa8pL3tdeeap/rdctR8nZ4de1f111d/V5OyPmLEFAAAg2pTDo57d17o5eK/yLdf2qlv219f2qlv219f2qlv219f2qlt29pLcF2Q/pjxsldzfZT/n3xkztgAAAKy1x7Z13fOj+3rWTFeWl72mvOw15WWvKS/73PLMldwXZK8pD72S+7vs5/w743U/AMTyup+5fNbTy7JkevlihF5e9wMAAMASphwe1bo5+NmG4SOfKbvssssu+/WyM1dyX5C95pnQK7m/y37OvzNmbAEAAIhmjy0AseyxnctnPb3M3tLLHlt62WMLAADAErpf91PxjV71Nzuy15C9huw1ZOcKkvuC7JAhub/LfqHDo7aq3Cy9lezjz9xC9vFnbiH7+DO3WDk7cyX3BdnH+B3kaMn9XfZz/p2xFBkAAIBohx0etWXEb+p9nOw1ZK8h+3rZHR41l8/6MStnN3tLUp9b+Xd1hc96M7YAAACse3jUo5H7kd8mbKlf9nGy95edQfb+sjPI3l92hur6Oc+/xar9ODk7pPW3VX9Xb8HZHzFjCwAAQLQppyI/u++Ik7Re3dtybWs9rWSfW08r2efW00r2ufW0Wjk7cyX3BdnH+B3kaMn9XfZz/p3pXorcOj28xzR2zzMf3Sv7GNnn1rMlT8+9so+RfW49W/IcWT/X6Quyj/E7yNGS+7vs5/w7YykyAAAA6x4eVf2N3Zb6ZR8new3Za8heo7p+zvNvsWo/Ts4Oaf1t1d/Vz+Dsj5ixBQAAINqUw6MebQQ+asPxs3p6rsn+muzjz9xC9vFnbiH7+DMrszNXcl+QfYzfQY6W3N9lP+ffGTO2AAAARPt2v9/vLTf+/fNrU0VbRvzV679lryF7DdlryD7m+8/fm8rzXz7rx6yc3ewtSX1u5d/VFT7rDxvYAsBsBrZz+aynl4EtaQM0rvtZbykyAAAA0Q49PKp3Y/Mez5Rddtlll/162ZkruS/IXvNM6JXc32U/598ZM7YAAABEs8cWgFj22M7ls55eZm/pZY8tveyxBQAAYAk/Zn9L1/MtTGV52WvKy15TXvaa8rLXlWee6n/LVftxcnboVd1fV/1dvQVn3+3wqGf3tW4O3qt8y7W96pb99bW96pb99bW96pb99bW96padvST3BdmPKQ9bJfd32c/5d8ZSZAAAANZaitw6Pfzovp6p5crysteUl72mvOw15WWfW565kvuC7DXloVdyf5f9nH9nzNgCAAAQzet+AIjldT9z+aynl/229DLjTy+v+wEAAGAJU05Fbj316tlJWEc+U3bZZZdd9utlZ67kviB7zTOhV3J/l/2cf2csRQYglqXIc/msp5dBLr0sRaaXpcgAAAAsoXnGFgC4NjO2AJyNGVsAAACWYGALAFzmcBHZZZdddtn/V3U9s5/5jqXIAMAXS5EBOBtLkQEAAFjCj+oAAMB5PVoO1vO6jsrysteUl72mvOw15WWvK/8vM7YAAABEM7AFAIYO7eg5CGSv8i3X9qpb9tfX9qpb9tfX9qpb9tfX9qpb9nYGtgAAAESzxxYAGNrj9Oi+nv1RleVlrykve0152WvKyz63/Dte9wMAfPG6HwDOxut+AAAAWIKBLQDQdOBIy0Egzw4HOfKZsssuu+yyf5TXM/uZ7xjYAgAAEM0eWwDgiz22AJyNPbYAAAAswet+AIApRvZEbXm1w0yy15C9huw1ZN+XGVsAYNpBIDPqrjoYZSvZx5+5hezjz9xC9vFnbrFy9ncMbAEAAIjm8CgAYMrhUQlL1Z6RvYbsNWSvIfsYh0cBAACwBIdHAQBd39IfOXOwpX7Zx8neX3YG2fvLziB7XvZHzNgCAAAQzcAWABjaS3XUqZmv7m25trWeVrLPraeV7HPraSX73HparZz9HUuRAYChpWB7LFnreeaje2UfI/vcerbk6blX9jGyZ2Z/x4wtAAAA0czYAgCnfcXElvplHyd7DdlryF5jdv1mbAEAAIhmYAsANB048u/1ow4XeVZPzzXZX5N9/JlbyD7+zC1kz8z+joEtAAAA0b7d7/d7dQgAoN7fP782ld/y7X71Xi/Za8heQ/Yaso/5/vN3030GtgDAlIEtAMzWOrC1FBkAAIBoBrYAwLTDRXoPMdnjmbLLLrvssn+U1zP7me8Y2AIAABDNHlsA4Is9tgCcjT22AAAALOFHdQAA4Lwe7XPqeXVDZXnZa8rLXlNe9prysteV/5cZWwBg6NCOnoNA9irfcm2vumV/fW2vumV/fW2vumV/fW2vumVvZ2ALAABANEuRAYChpWCP7utZRlZZXvaa8rLXlJe9przsc8u/Y8YWAACAaF73AwB88bofAM7G634AAABYgoEtANB0kmbLCZfPTr088pmyyy677LJ/lNcz+5nvWIoMAHyxFBmAs7EUGQAAgCV43Q8AEG9k2dpZjLzWgu30GXrpM+dmxhYAAIBoBrYAwDKHi5xZcrsnZ0+W3O7J2ZPdLtzuDo8CAOIPj0r+z+cKSwTPSJ+hlz5Tw+FRAAAALMHhUQBA1wxFzzf/1eVTVbfblvLJ2ZNVt5s+k+d2sXY3YwsAAEA0A1sAYGgfWc9BIHuVv5Lkdk/Oniy53ZOzJ7tduN0NbAEAAIhmjy0AMLTH6dF9Pfuj9iifLLndk7MnS2735OzJPi/c7l73AwB88bqfGlf7j3MKfYZe+kwNr/sBAABgCQa2AEDTQS8tB4E8OxzkqGcmS2735OzJkts9OXuy24Xb3cAWAACAaPbYAgBf7LGtkbz3LZk+Qy99poY9tgAAACzB634AgPLZjOTZhGrJ7Z6cPVlyuydnT3YLaHcztgDAtINAZtTtUJe8dk/Oniy53ZOzJ7tduN0NbAEAAIjm8CgAYMrhUZVL1ZJnVSp/9uqlmfrMGH1mjD6T2e4OjwIAAGAJDo8CALq+pT9yxqa6/irVP/eW+pOzJ6v+ufWZPLeLtbsZWwAAAKIZ2AIAQ3upjjo189W9V5Lc7snZkyW3e3L2ZLcLt7ulyADA0FKwPZas9TzzaksFk9s9OXuy5HZPzp7s88LtbsYWAACAaGZsAYDTzlZU17/qz72l/uTsyap/bn0mz+fF2t2MLQAAANEMbAGApoNe/r1+1OEiz+pZ4VCXlHZPzp4sud2Tsye7XbjdDWwBAACI9u1+v9+rQwAA9f7++bWp/JZv97futUqeVan82av32OkzY/SZMfpMZrt///m76T6HRwEAU1T/h3dVye2enD1ZcrsnZ0/2GdDuliIDAAAQzcAWAJh2uEjv4TGzn5ksud2TsydLbvfk7MluF253A1sAAACiOTwKAJhyeFSl5FmVhL1rV6TP0EufqdF6eJQZWwAAAKI5FRkA6Jqh6Pnmv7p8qup221I+OXuy6nbTZ/LcLtbuZmwBgKHldj0HgexV/kqS2z05e7Lkdk/Onux24XY3sAUAACCapcgAwNBSsEf39Swj26N8suR2T86eLLndk7Mn+7xwu5uxBQAAIJrX/QAAX7zup8bVZoRS6DP00mdqeN0PAAAASzCwBQCaTjBtOeHy2amXRz0zWXK7J2dPltzuydmT3S7c7pYiAwBfLEWukbxEMJk+Qy99poalyAAAACzBjC0AED9jC8A1mbEFAABgCQa2AMBlDheRXXbZZZf9mtnfsRQZAPhiKTIAZ2MpMgAAAEv4UR0AADivR8vBel4bUVle9prysteUl72mvOx15f9lxhYAAIBoBrYAwNChHT0HgexVvuXaXnXL/vraXnXL/vraXnXL/vraXnXL3s7AFgAAgGj22AIAQ3ucHt3Xsz+qsrzsNeVlrykve0152eeWf8frfgCAL173A8DZeN0PAAAASzCwBQCaDhxpOQjk2eEgRz5Tdtlll132j/J6Zj/zHQNbAAAAotljCwB8sccWgLOxxxYAAIAleN0PADDFyJ6oLa92mEn2GrLXkL2G7PsyYwsATDsIZEbdVQejbCX7+DO3kH38mVvIPv7MLVbO/o6BLQAAANEcHgUATDk8KmGp2jOy15C9huw1ZB/j8CgAAACW4PAoAKDrW/ojZw621C/7ONn7y84ge3/ZGWTPy/6IGVsAAACiGdgCAEN7qY46NfPVvS3XttbTSva59bSSfW49rWSfW0+rlbO/YykyADC0FGyPJWs9z3x0r+xjZJ9bz5Y8PffKPkb2zOzvmLEFAAAgmhlbAOC0r5jYUr/s42SvIXsN2WvMrt+MLQAAANEMbAGApgNH/r1+1OEiz+rpuSb7a7KPP3ML2cefuYXsmdnfMbAFAAAg2rf7/X6vDgEA1Pv759em8lu+3a/e6yV7DdlryF5D9jHff/5uus/AFgCYMrAFgNlaB7aWIgMAABDNwBYAmHa4SO8hJns8U3bZZZdd9o/yemY/8x0DWwAAAKLZYwsAfLHHFoCzsccWAACAJfyoDgAAnNejfU49r26oLC97TXnZa8rLXlNe9rry/zJjCwAMHdrRcxDIXuVbru1Vt+yvr+1Vt+yvr+1Vt+yvr+1Vt+ztDGwBAACIZikyADC0FOzRfT3LyCrLy15TXvaa8rLXlJd9bvl3zNgCAAAQzet+AIAvXvcDwNl43Q8AAABLMLAFAJpO0mw54fLZqZdHPlN22WWXXfaP8npmP/MdS5EBgC+WIgNwNpYiAwAAsAQztgAAAEQzYwsAAEA0A1sAAACiGdgCAAAQzcAWAACAaAa2AAAARDOwBQAAIJqBLQAAANEMbAEAAIhmYAsAAMBHsv8BIVybVzZrxqkAAAAASUVORK5CYII=",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
      },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "fig, ax = plt.subplots(1, 2, figsize=[12, 6])\n",
     "\n",
-    "dmin = 5\n",
-    "n = 3\n",
-    "im = ps.generators.sierpinski_foam(dmin=dmin, n=n)\n",
+    "im = ps.generators.sierpinski_foam(shape=[3**4, 3**5], n=3)\n",
     "ax[0].imshow(im, interpolation='none')\n",
     "ax[0].axis(False)\n",
     "\n",
-    "dmin = 3\n",
-    "n = 5\n",
-    "im = ps.generators.sierpinski_foam(dmin=dmin, n=n)\n",
+    "im = ps.generators.sierpinski_foam(shape=[3**5, 3**5], n=5)\n",
     "ax[1].imshow(im, interpolation='none')\n",
     "ax[1].axis(False);"
    ]
   },
   {
    "cell_type": "markdown",
-   "id": "28773b29",
+   "id": "4f84e25c",
    "metadata": {},
    "source": [
-    "## ``ndim`` \n",
-    "The dimensionality of the image, either 2 or 3.  A value of 2 (as above) technically makes a gasket while 3 makes a foam:"
+    "## `n`\n",
+    "\n",
+    "The number of times the patter is divided is controlled by the `n` parameter:"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
-   "id": "beb81e7e",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-04-25T01:54:07.280322Z",
-     "iopub.status.busy": "2022-04-25T01:54:07.280108Z",
-     "iopub.status.idle": "2022-04-25T01:54:11.190198Z",
-     "shell.execute_reply": "2022-04-25T01:54:11.189589Z"
-    }
-   },
+   "execution_count": 8,
+   "id": "16761007",
+   "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "eb0ca2acb02b4383836d313832f4e18f",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "0it [00:00, ?it/s]"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "ndim = 3\n",
-    "dmin = 5\n",
-    "n = 3\n",
-    "im = ps.generators.sierpinski_foam(dmin=dmin, n=n, ndim=3)\n",
-    "\n",
-    "ax = plt.figure().add_subplot(projection='3d')\n",
-    "ax.voxels(1-im[30:60, 30:60, 30:60]);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "8a7f9a0f",
-   "metadata": {},
-   "source": [
-    "## `max_size`\n",
-    "This puts a cap on the maximum number of voxel in the generated image so that it doesn't get too large.  The function will stop iterating if the image size exceeds this value."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "425f37ea",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-04-25T01:54:11.193323Z",
-     "iopub.status.busy": "2022-04-25T01:54:11.193100Z",
-     "iopub.status.idle": "2022-04-25T01:54:11.474575Z",
-     "shell.execute_reply": "2022-04-25T01:54:11.473903Z"
-    }
-   },
-   "outputs": [
+    },
     {
      "data": {
-      "image/png": "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\n",
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "8681afef577b4644801b4d0783d01311",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "<Figure size 864x432 with 2 Axes>"
+       "0it [00:00, ?it/s]"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 1200x600 with 2 Axes>"
+      ]
      },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
     "fig, ax = plt.subplots(1, 2, figsize=[12, 6])\n",
     "\n",
-    "max_size=1e4\n",
-    "im = ps.generators.sierpinski_foam(dmin=dmin, n=100, max_size=max_size)\n",
+    "n = 3\n",
+    "im = ps.generators.sierpinski_foam(shape=[3**n, 3**n], n=n)\n",
     "ax[0].imshow(im, interpolation='none')\n",
     "ax[0].axis(False)\n",
-    "ax[0].set_title(f'actual size = {im.size}')\n",
     "\n",
-    "max_size=1e6\n",
-    "im = ps.generators.sierpinski_foam(dmin=dmin, n=100, max_size=max_size)\n",
+    "n = 4\n",
+    "im = ps.generators.sierpinski_foam(shape=[3**n, 3**n], n=n)\n",
     "ax[1].imshow(im, interpolation='none')\n",
-    "ax[1].axis(False)\n",
-    "ax[1].set_title(f'actual size = {im.size}');"
+    "ax[1].axis(False);"
    ]
   }
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -205,7 +191,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.12.7"
   }
  },
  "nbformat": 4,
diff --git a/examples/generators/reference/sierpinski_foam2.ipynb b/examples/generators/reference/sierpinski_foam2.ipynb
deleted file mode 100644
index e01e3a2ba..000000000
--- a/examples/generators/reference/sierpinski_foam2.ipynb
+++ /dev/null
@@ -1,212 +0,0 @@
-{
- "cells": [
-  {
-   "cell_type": "markdown",
-   "id": "fb5732b2",
-   "metadata": {},
-   "source": [
-    "# `sierpinski_foam2`\n",
-    "\n",
-    "The sierpinski gasket is a classic example of a fractal image with self-similar properties across all length scales.  It has also been extensively analyzed so these properties are well know.  The ``sierpinski_foam2`` is a 3D version of the gasket."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 1,
-   "id": "cf928313",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-04-25T01:54:04.952668Z",
-     "iopub.status.busy": "2022-04-25T01:54:04.952394Z",
-     "iopub.status.idle": "2022-04-25T01:54:07.148586Z",
-     "shell.execute_reply": "2022-04-25T01:54:07.147995Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "text/plain": [
-       "<Signature (shape, n=5)>"
-      ]
-     },
-     "execution_count": 1,
-     "metadata": {},
-     "output_type": "execute_result"
-    }
-   ],
-   "source": [
-    "import porespy as ps\n",
-    "import matplotlib.pyplot as plt\n",
-    "import numpy as np\n",
-    "import inspect\n",
-    "inspect.signature(ps.generators.sierpinski_foam2)"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "3742857d",
-   "metadata": {},
-   "source": [
-    "## `shape`\n",
-    "\n",
-    "The original version of this generator did not accept shape, and instead its size was dictated by the number of divisions requested.  The new version does except shape and instead it truncates the pattern if the requested number of divisions exceeds the shape. \n",
-    "\n",
-    "In the images below, the image of size 100 by 100 is not symmetrical.  If the full pattern is desired, then the shape must be set to `3**n` in all directions, as shown on the right (`n=5` is the default value)."
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 4,
-   "id": "9c3feb12",
-   "metadata": {
-    "execution": {
-     "iopub.execute_input": "2022-04-25T01:54:07.151840Z",
-     "iopub.status.busy": "2022-04-25T01:54:07.151675Z",
-     "iopub.status.idle": "2022-04-25T01:54:07.275590Z",
-     "shell.execute_reply": "2022-04-25T01:54:07.274868Z"
-    }
-   },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "758fc922ef214076a8abe578ffde4f3f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "0it [00:00, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "92c47888c84a40dca01da259f9a777dc",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "0it [00:00, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 1200x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(1, 2, figsize=[12, 6])\n",
-    "\n",
-    "im = ps.generators.sierpinski_foam2(shape=[100, 100])\n",
-    "ax[0].imshow(im, interpolation='none')\n",
-    "ax[0].axis(False)\n",
-    "\n",
-    "im = ps.generators.sierpinski_foam2(shape=[3**5, 3**5])\n",
-    "ax[1].imshow(im, interpolation='none')\n",
-    "ax[1].axis(False);"
-   ]
-  },
-  {
-   "cell_type": "markdown",
-   "id": "4f84e25c",
-   "metadata": {},
-   "source": [
-    "## `n`\n",
-    "\n",
-    "The number of times the patter is divided is controlled by the `n` parameter:"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 5,
-   "id": "16761007",
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "34e6e1bdcbea47778ab926fb2c6889ef",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "0it [00:00, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "5424206f5b484a178d46efccbb576417",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "0it [00:00, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 1200x600 with 2 Axes>"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "fig, ax = plt.subplots(1, 2, figsize=[12, 6])\n",
-    "\n",
-    "n = 3\n",
-    "im = ps.generators.sierpinski_foam2(shape=[3**n, 3**n])\n",
-    "ax[0].imshow(im, interpolation='none')\n",
-    "ax[0].axis(False)\n",
-    "\n",
-    "n = 4\n",
-    "im = ps.generators.sierpinski_foam2(shape=[3**n, 3**n])\n",
-    "ax[1].imshow(im, interpolation='none')\n",
-    "ax[1].axis(False);"
-   ]
-  }
- ],
- "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": "3.9.15"
-  }
- },
- "nbformat": 4,
- "nbformat_minor": 5
-}
diff --git a/examples/metrics/reference/boxcount.ipynb b/examples/metrics/reference/boxcount.ipynb
index ec5142a1f..0c913bbfc 100644
--- a/examples/metrics/reference/boxcount.ipynb
+++ b/examples/metrics/reference/boxcount.ipynb
@@ -63,7 +63,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 4,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-04-25T01:54:53.489929Z",
@@ -75,19 +75,31 @@
    "outputs": [
     {
      "data": {
-      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAVQAAAFUCAYAAAB7ksS1AAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjUuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/YYfK9AAAACXBIWXMAAAsTAAALEwEAmpwYAAASlklEQVR4nO3dQbLrthEFUDmVRaQyz9y7yJqzi8wzT3kVdkav/KPHTwhgQ7yAzpnRv5/UQgsS2QLoX/74448HANf95e4EAHbhAxWgiA9UgCI+UAGK+EAFKOIDFaDIX8/+8fff/vHHP//+6+PxeDz+9d9/Px6Px+Pq8dd/c/z/x49H3RirmZrNes2rHz8eNWP8l7/955fHAWeoAEV+OVvY//tv/7DqH+DJz85QTy/5n32d8n758XR6xfjEnMSfxyfmJP48PjGn6vgvzUv+f/7918MB+tm/t+K/Ys6OxfeN6ez4o5zFf49Xs/Xir9TgiB4qQJHmJX/rVPf53185Ne79G/H3xifmJP48PjGn3eKP+FEKoNPwsqlWn6H3+Ou/Of7/48oxVjM1G31Nux9Xj/EzPVSAIi75ATqVrENtaZ0OP3t1bdeo3nwej7yc5NOWlpN82tJyqsqnvIc6YnbvZId8ZvfbRnKaebxDPmq2Xj56qAAhSnuoLkXaVh+jtHwej7yc5NOWllNvPrfs5e/V+/iz8xl5jk8bo7R8Rp7j08YoLZ+R50gboy/le/lHtP6+t1eyYz49NVCzjHzUbL18rtZADxWgSPle/hF37LmVzzVpOcmnLS2n1fM50tVDnd1I7n382fmMPMenjVFaPiPP8WljlJbPyHOkjdEXl/wARSzsXyQfi8TXy0fN1svnag2sQ32SlpN82tJykk9bWk5V61DdHAWgk/+NNMBkbjAdcjyz36ZmauZ4zhg/c8kP0OmWvfzp8Yk5iT+PT8xJ/Hl8Yk6z7hWghwpQpPzmKK/0GVq9DvF9Yzo7/ihn8d/j1Wy9+Cs1OFK+l/+VU+Ore3TFvzc+MSfx5/GJOe0Wf8SPUgCdrEMFmMw61JDjyjFWMzUbfU27H1eP8TOX/ACdStah3q317XCHd9wrcmVqth41G6eHClBkyR5qmrTejpq1qZmafXwPNbHgq1yK3EXN1qNmbVvu5U+UNkZp8YnSxigtPlHqGOmhAhRZci9/mhmvt2dMZ8cf5axm3+PVbK60mh1Zci9/mrQ9xmrWdveYqlm/u8d0u738id+g6W/Cu6nZetSszV5+gMmsQy2Qtj5OzdrUTM0qxviZS/6L0i5F0qjZetSs7S17+XsLkTZI75A2Rmn5JEobo7R8Et01RnqoAEXKe6gjPq23M/L4s/ttIzn1HKdRMzU7evyoHurs0+zEgs9+DatfPqpZPTVrmz1Gt+zl7zX78d8hbYzS8kmUNkZp+SRKHSM9VIAi5Xv5R7T+PvES5Eez8++tgZq1qVn/v98trWZHyvfyj/i0PcazH1/N2tRsznPMlFazIy75AYp0/Sg1+xss/RvyFWljlJZPorQxSssnUeoYWYdaIG19nJq1qZmaHT2+dag3S1sf10vN2tTsfmk1c/s+gMlKb46yQ29mtrQxSssnUdoYpeWT6K4xcj/UAhWvb2a/Tc2+UzM1m9HHdj/Ui5wtnFOz9ahZmx4qwGRTb44yOz5R2hilxSdKG6O0+ESpY1S+l/+VPkNv7ybxEuRHM15vz5jOjj/KWc2+x6vZXGk1O1K+l9//L7z976vFVzxHmrvHVM363T2m9vIDvJFf+S9K/1a/m5qtR83ahn/ltz6uLW19nJq1qZmaVYzxM2eoF6V9c6ZRs/WoWZt1qACTLXWGCpBgqx7qjsdJ/Tc1U7Ndj/VQAcLooQJMtvRe/qvxiTmJP49PzEn8eXxiTvbyf1h8z5jOjj/KWfz3eDVbL/5KDY4suZdf/HvjE3MSfx6fmNNu8Uf0UAGK+JUfoJN1qOHHlWOsZmo2+pp2P64e42fOUAE6WYcKMFnXOtSW1unws9l3kOnN5/HIy0k+bWk5yactLaeqfMp7qCNm9052yGd2v20kp5nHO+SjZuvlE9VD9c3ZtvoYpeXzeOTlJJ+2tJx689FDBZhs6l7+Xr2PPzufkef4tDFKy2fkOT5tjNLyGXmOtDH6Ur6Xf0Tr73t7JTvm01MDNcvIR83Wy+dqDVzyAxQpvznKiDtuYiCfa9Jykk9bWk6r53Okq4c6+5e53sefnc/Ic3zaGKXlM/IcnzZGafmMPEfaGH2xDnWRfKxpXC8fNVsvn6s10EMFKGJh/5O0nOTTlpaTfNrScqpa2O9uUwCd3A81/Hhmv03N1MzxnDF+pocKUMQlP0Cnn13yT93Lnx6fmJP48/jEnMSfxyfmNOteAeV7+V/pM7R6HeL7xnR2/FHO4r/Hq9l68VdqcEQPFaBI+V7+V06Nr+7RFf/e+MScxJ/HJ+a0W/wRP0oBdLIONfy4cozVTM1GX9Pux9Vj/EwPFaCIS36ATiXrUMnXuiQhzzvuN8p76KGGHM/u7ZDNPNtjnumhAhTRQ92MM9X1uORfj738B/GJOc3aY8w60t5D5pm9/MvH94ypHur6zLN74qvnmR4qQBF7+TeMZz3m2XrxR/wotRmX/uvxhbgee/nDj2evjyObebbHPNNDBSjikn8zzlTX45J/PW/Zy987mWe/kUY+XNJyMtl4lvYeMs/+VN5DHTG7d7JDPnqoezPPMvLRQwUIUdpDdSnSNnuMnKmuZ3aN097Tj0deTr353LKXv1fv48/OZ+Q50saI9aS9h8yzG/fyj2j9fW+vZMd8ZteAe5lnGflcrYEeKkCR8r38I9L2tq+eD+sxz9bL50hXD3X2xO19/Hd8kKTl5MNzf2nvIfPsdS75AYpY2L9IPhb27808y8jnag2sQ32SlpN1qPuzDrXeXetQ3RxlMz5Q16Mvvp7h+6EC8Bo3mA45rh5j1mKe7THPXPJvxgfrelzyr+eWvfzp8Yk53b2HmfulvYfMs8K9/AC8pvzmKK/0GXrXj31ifM+Y6qGuzzy7J756npXv5ff/C78/nvWYZ+vFH/Gj1Gacqa7HF+J6rEMFmMw61JDj2evjyGae7THPXPJvxgfrelzyr6dkHerdEj8sTAZ2Y56N00MFKLJkDzXNCr0dsplnbSvMs6V6qIkFT7sUSRwjznkPtaWN0ZZ7+RMZI67yHmpLHSM9VIAiS+7lTzPj9faMqR7q+syzthXm2ZJ7+dOssMeYbOZZ2wrzzI9SF6W9CRPHiHPeQ21pY2QvP8Bk1qEWWGF9HNnMs7YV5plL/ovSLkUSx4hz3kNtaWP0lr38vYVIG6R3MEZc5T3UdtcY6aECFCnvoY74tN7OyOProe7NPGtbYZ6V9lBnn2YnFnz2a9hhjDjnPdSWNka37OXvNfvx38EYcZX3UFvqGOmhAhQp38s/4pU9t8lm5/+OGnAv86xthXlWvpd/xKftMU57fO5nnrWtMM9c8gMU6fpRavY3WPo35CuMEVd5D7WljpF1qAVWWB9HNvOsbYV5Zh3qRWnr4xLHiHPeQ21pY+T2fQCTld4cZYfezGzGiKu8h9ruGiP3Qy1Q8fqqx5i1mGdtK8wz90O9KO1sIXGMOOc91JY2RnqoAJNNvTnK7PhExoirvIfaUseofC//K32G3t5N4iXIj2a83p4x1UNdn3nWtsI8K9/L7/8X3v73O/5/4WQzz9pWmGd6qABF/Mp/Udq3euIYcc57qC1tjIZ/5bc+rm2F9XFkM8/aVphnzlAvSvvmTBwjznkPtaWNkXWoAJOV7uWfLe1bCnZkno1bsoe647Ee6mczz/aYZ0v1UGnzwboeZ4Tr0UMFmGzpvfxX4xNz+oR92JxLew+ZZ5vv5f+E+J4x1UNdn3l2T3z1PFtyL7/483jWY56tF39EDxWgiF/5N+PSfz2uMNaz1V7+HY9nr48jm3m2xzxzhroZH6zrcYa6HutQASYr3cvfe3Y0+5t55GwtLSdnLzxLew+ZZ38q76GOmN072SEfPdS9mWcZ+UT1UH1zts0eIx+s65ld47T39OORl1NvPnqoAJNN3cvfq/fxZ+cz8hxpY8R60t5D5tmNe/lHtP6+t1eyYz6za8C9zLOMfK7WwCU/QJHym6OMSLtZyOr5sB7zbL18jnT1UGdP3N7Hf8cHSVpOPjz3l/YeMs9eZx3qIvlYh7o38ywjn6s10EMFKGJh/5O0nCzs35+F/fXuWtjvblOb8YG6Hn3x9bgfavhx9RizFvNsj3mmhwpQxCX/Zpyprscl/3p+dsk/dS9/enxiTnfvYeZ+ae8h8+zGvfyv9Bl61499YnzPmOqhrs88uye+ep7poQIUKd/L/8qp8dU9uuLP41mPebZe/BE/Sm3Gpf96fCGuxzrU8OPZ6+PIZp7tMc/0UAGKuOTfjDPV9bjkX4+9/ABF9FDDjyvHWM3UbPQ17X6shwqwCJf8AJ3s5T+IT8xJ/Hl8Yk7iz+MTc7KX/8Pie8Z0dvxRzuK/x6vZevFXanBEDxWgiL384tVsw/jEnHaLP+JHKYBO1qGGH1eOsZqp2ehr2v24eoyf6aECFHHJD9CpZB1qS+t0+Nnsm0L05vN45OUkn7a0nOTTlpZTVT7lPdQRs3snO+Qzu982ktPM4x3yUbP18tFDBQhR2kN1KdK2+hil5fN45OUkn7a0nHrzuWUvf6/ex5+dz8hzfNoYpeUz8hyfNkZp+Yw8R9oYfSnfyz+i9fe9vZId8+mpgZpl5KNm6+VztQZ6qABFyvfyj7hjz618rknLST5taTmtns+Rrh7q7EZy7+PPzmfkOT5tjNLyGXmOTxujtHxGniNtjL645AcoYmH/IvlYJL5ePmq2Xj5Xa2Ad6pO0nOTTlpaTfNrScqpah+rmKACdhu+HCsBr3GA65Hhmv03N1MzxnDF+5pIfoNMte/nT4xNzEn8en5iT+PP4xJxm3StADxWgSPnNUV7pM7R6HeL7xnR2/FHO4r/Hq9l68VdqcKR8L/8rp8ZX9+iKf298Yk7iz+MTc9ot/ogfpQA6WYcKMJl1qCHHlWOsZmo2+pp2P64e42cu+QE6laxDvVvr2+EO77hX5MrUbD1qNk4PFaDIkj3UNGm9HTVrUzM1+/geamLBV7kUuYuarUfN2rbcy58obYzS4hOljVFafKLUMdJDBSiy5F7+NDNeb8+Yzo4/ylnNvser2VxpNTuy5F7+NGl7jNWs7e4xVbN+d4/pdnv5E79B09+Ed1Oz9ahZm738AJNZh1ogbX2cmrWpmZpVjPEzl/wXpV2KpFGz9ahZ21v28vcWIm2Q3iFtjNLySZQ2Rmn5JLprjPRQAYqU91BHfFpvZ+TxZ/fbRnLqOU6jZmp29PhRPdTZp9mJBZ/9Gla/fFSzemrWNnuMbtnL32v2479D2hil5ZMobYzS8kmUOkZ6qABFyvfyj2j9feIlyI9m599bAzVrU7P+f79bWs2OlO/lH/Fpe4xnP76atanZnOeYKa1mR1zyAxTp+lFq9jdY+jfkK9LGKC2fRGljlJZPotQxsg61QNr6ODVrUzM1O3p861BvlrY+rpeatanZ/dJq5vZ9AJOV3hxlh97MbGljlJZPorQxSssn0V1j5H6oBSpe38x+m5p9p2ZqNqOP7X6oFzlbOKdm61GzNj1UgMmm3hxldnyitDFKi0+UNkZp8YlSx6h8L/8rfYbe3k3iJciPZrzenjGdHX+Us5p9j1ezudJqdqR8L7//X3j731eLr3iONHePqZr1u3tM7eUHeCO/8l+U/q1+NzVbj5q1Df/Kb31cW9r6ODVrUzM1qxjjZ85QL0r75kyjZutRszbrUAEmW+oMFSDBVj3UHY+T+m9qpma7HuuhAoTRQwWYbOm9/FfjE3MSfx6fmJP48/jEnOzl/7D4njGdHX+Us/jv8Wq2XvyVGhxZci+/+PfGJ+Yk/jw+Mafd4o/ooQIU8Ss/QCfrUMOPK8dYzdRs9DXtflw9xs+coQJ0sg4VYLKudagtrdPhZ7PvINObz+ORl5N82tJykk9bWk5V+ZT3UEfM7p3skM/sfttITjOPd8hHzdbLJ6qH6puzbfUxSsvn8cjLST5taTn15qOHCjDZ1L38vXoff3Y+I8/xaWOUls/Ic3zaGKXlM/IcaWP0pXwv/4jW3/f2SnbMp6cGapaRj5qtl8/VGrjkByhSfnOUEXfcxEA+16TlJJ+2tJxWz+dIVw919i9zvY8/O5+R5/i0MUrLZ+Q5Pm2M0vIZeY60MfpiHeoi+VjTuF4+arZePldroIcKUMTC/idpOcmnLS0n+bSl5VS1sN/dpgA6uR9q+PHMfpuaqZnjOWP8TA8VoIhLfoBOP7vkn7qXPz0+MSfx5/GJOYk/j0/Mada9Asr38r/SZ2j1OsT3jens+KOcxX+PV7P14q/U4IgeKkCR8r38r5waX92jK/698Yk5iT+PT8xpt/gjfpQC6GQdavhx5RirmZqNvqbdj6vH+JkeKkARl/wAnYb28gPwOpf8AEV8oAIU8YEKUMQHKkARH6gARXygAhT5H/hZLeo4RDh7AAAAAElFTkSuQmCC\n",
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "252fe0e669ca456ebd0e82456ad428ab",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "<Figure size 432x432 with 1 Axes>"
+       "0it [00:00, ?it/s]"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "iVBORw0KGgoAAAANSUhEUgAAAeEAAAHiCAYAAADf3nSgAAAAOnRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjEwLjAsIGh0dHBzOi8vbWF0cGxvdGxpYi5vcmcvlHJYcgAAAAlwSFlzAAAPYQAAD2EBqD+naQAAG4BJREFUeJzt3UGO47p2BuB+jV5EkHnmtQuv2bvIPPMgq8gNEkDAzStLZVqH5OHh9wE9MYi/SfNYZUq09I+//vrrr18AwHC/x/+XAMD/8kcYACbxRxgAJvFHGAAm8UcYACbxRxgAJvFHGAAm8UcYACbxRxgAJvnzbsP//q9/69sTACjk97/8x89thvQEALj/R/jxr1//9++d11va9sw4Xo/IMMZ5Gav0LyLDGOdlrNK/iAxjHJNxxUoYACb5x7tPUXJNGADe55owAFTYHX3m1fnv53/+++2M1hwZOTPOcrJktObIyJlxlpMlozVHRs6Ms5zWjL+zEgaA1XdHt7QdnXG0j8h4d5fc6Izj9YiM1eY3S8bRPiJDncn4KSciQ52NybhiJQwAq1wTbjn3fdZ2dMZZ+0oZrTky4jPO2lfKaM2REZ9x1r5Sxqpz88m1YT9RAoAO/EQJABJz28oE/TPG+dnmwBhX619EhjGOybhiJQwAk7gmDAAduCYMAJVvW9mi9Vz5K3duD5ZtLNXGYyzx1Nl3xhJPnc0bi5UwAOy0OzpClp12ETLtJoyQZddqBHWmzn5qG0Gdfb18/W5GBLujAaCoobujVzpP/xPXUL4zlnjq7DtjiafO+ozF7mgAqLw7+tU3jhnfhjI99PmuSmM568vsB2l/qtLcVBrLWV/U2b2MCJXGctaXO/2wEgaA1XdH323bsx9H+4iMkbsJW9tnGEtrdsQuwyxjOdpHZKiz2Gx1dv//7JX72KDOrlgJA8Aq14R7P+C4V3bPh0/flekh2BFWeJB2r2x1du//bKHO4jMiqLM2VsIAsOru6Cy/C4voh7H0UWk8xhKfEaXSeIwl51h69MVtKxPcGs1t3txO8J3X71Jn6uyd1+9SZ19N+U5HA8Akblv5oahvXZXGYyzx1Nl3xhJPnX3ntpUAUNzQlTAA7OK3lTAA5DVld/TojOP1iAxjnJexSv8iMoxxXsYq/YvIMMYxGVeshAFgEteEAaAD14QBoPJtK3s9SLs1R0bOjLOcLBmtOTJyZpzlZMlozZGRM+Ms585viq2EAWD13dEtbUdnHO0jMt7dJTc643g9ImO1+c2ScbSPyFBnMn7KichQZ2MyrlgJA8Aq14SzPEg7y0Ows2S05siIzzhrXymjNUdGfMZZ+0oZq87NJ9eGrYQBYBK/EwaADvxOGAASc+/oBP0zxvnZ5sAYV+tfRIYxjsm44nQ0AHTgdDQAVL5t5YpaTxdkd+eWafSjzhhBna3NShgAJtl6Y1Y1lTYyrNy/6naZx+z9q+5RaB6vWAkDwCRb7o6u9i1yt2soq1BnjKDO8rI7GgAq746u9BDsSjK9p71qRJ3Nl+k9VWd1PRK9pxE18ndWwgCw+u7olrajM4721bW+HxnmplLG0b46dTY342hf3aNQnV2xEgaAVa4JZ3lIctSDoytZcW4qZXzSfkUrzk2ljE/ar+i54Nx8Mi9WwgAwid8JF7DDt+IVqTNGUGd5+Z0wACTm3tGFVLrX6sr9q26Xeczev+oehebxipUwAEzimnABla6hVKLOGEGdrX1N+PZtK0cXS6UJyqTS3FQaSzWV5qbSWKp5LDQ3TkcDwE4bsyLYyNBnI0NUPzJsmImgzr5TZ/HUWe06u2IlDAA7bMzKcp6+2rfILO9JlutbWcaizvLOTYQsY1FneefGzToAILE/Pb5xzPimevbNJ8u35p3fj4gaUWc5ZXo/1Fldj0TvR3SNWAkDwOq7o++27dmPo311re9HhrmJ2GWYZSxH++rUWTx1VrvOrlgJA8Aq14R7P+C4V/YO11JWnJtZD9Lula3OPm87ox8rjqV3X7J4Ljg3n/TDShgAVt0dneUbWZZ+ZJHp/YjoS5bxZOlHFpneD3VW1zPR+xHdFythAJjEvaMLqXSvVXWWlzqLp85q19kVK2EAmMS9owvI8p5kuW6TZSzqLO/cRMgyFnWWd27cOxoAKu+OXvEbLLXnptJYqqk0N5XGUs1zobmZsjFrdMbxenWjN6TMmsfs/atul3nM3r/qHoXm8YrT0QCww8asLKp9i1zp1MtO1BkjqLO8bMwCgMobs3o9SLs1JyKjkkzvaa8aUWfzZXpP1Vldj0TvaUSN/J2VMACsvju6pe3ojKN9da3vR4a5qZRxtK9Onc3NONpX9yhUZ1eshAFglWvCWR6k7SHYNeamUsYn7Ve04txUyvik/YqeC87NJ/NiJQwAk/idcAE7fCtekTpjBHWWl98JA0Bi7h1dSKV7ra7cv+p2mcfs/avuUWger1gJA8AkrgkXUOkaSiXqjBHUWV6uCQNAYluuhAGgNythAEhs693RWfpnjPOzzYExrta/iAxjHJNxxeloAOjA6WgAqPQAh39W6SHYMuIzznKyZLTmyMiZcZaTJaM1R0bOjLOcOz+rshIGgNU3ZrW0HZ1xtI/IePcC/eiM4/WIjNXmN0vG0T4iQ53J+CknIkOdjcm4YiUMAKtcE670EOxKGa05MuIzztpXymjNkRGfcda+Usaqc/PJtWErYQCYxO+EAaADvxMGgMTctjJB/4xxfrY5MMbV+heRYYxjMq5YCQPAJK4JA0AHrgkDQOV7R7doPVf+yp17dGYbS7XxGEs8dfadscRTZ/PGYiUMADvtjo6QZaddhEy7CSNk2bUaQZ2ps5/aRlBnXy9fv5sRwe5oAChq6O7olc7T/8Q1lO+MJZ46+85Y4qmzPmN5Z3f0nx6DnTERmR76fFelsZz1ZfaDtD9VaW4qjeWsL+rsXkaESmPpUSNORwPA6huz7rbt2Y+jfUTGyI0Mre0zjKU1O2KDQ5axHO0jMtRZbLY6u/9/9sp9bFBnV6yEAWCS5mvCvR9w3Cu758On78r0EOwIKzxIu1e2Orv3f7ZQZ/EZEdRZGythAJjkT5Ut6RH9MJY+Ko3HWOIzolQaj7HkHEuPvlgJA8AkbluZ4NZobvPmdoLvvH6XOlNn77x+lzr7asq3EgaASdy28kNR37oqjcdY4qmz74wlnjqbd9tKK2EA2GElDAC7+G0lDAB5TdkdPTrjeD0iwxjnZazSv4gMY5yXsUr/IjKMcUzGFSthAJjENWEA6MA1YQCofO/oV+e/W39fdXYOvSVHRs6Ms5wsGa05MnJmnOVkyWjNkZEz4yznzm+KwzZmtbQdnXG0j8h49wL96Izj9YiM1eY3S8bRPiJDncn4KSciQ52NybjidDQArHI6OsuDtLM8BDtLRmuOjPiMs/aVMlpzZMRnnLWvlLHq3HxyWtpKGAAm8RMlAOjAT5QAIDG3rUzQP2Ocn20OjHG1/kVkGOOYjCtWwgAwiWvCANCBa8IAUPm2lRCp9XoKfOLObQYhkpUwAExid3SC/hmj1S9zZP8c7PBZf2wwxitWwgAwid3RpGJVzAiuCTOC3dEAUHl39KuVi4dgy/gpx0qEjBzPZIw+nlkJA8Dqu6Nb2o7OONpHZLy7S250xvF6REaG+YURstS749nXy9cjMjLM7xUrYQBY5Zpwy7nvs7ajM87aV8pozcmeASNkqfcsx5EsGTsdz/xEiVScmmYEX/4YwU+UACAxt61M0D9jtPpljuyfgx0+648NxnjFShgAJnFNmFSsihnBNWFGcE0YACrftnL0KifLN9ioFVul8WQZC4xQ6TPjeDZvLFbCALDT7ugIWXbaRci0mzCC3dGswvHM8ewndkcDQFFDd0evdJ7+J66h9BmLVTEjZKnVSp//auN5BozF7mgAqLw7+tU3jhnfhs6++cx46PNdlcZy1pcs35ghY61WOgZUGkuPGrESBoDVd0ffbduzH0f7iIyRuwlb22cYS2u23dHMlKVWHc++Xr7e6//MVCNWwgCwyjXhLA9sz/Tw6bsyPQQ7QpZ+wCq16nhWY24+6YeVMACsujs6y0omoh/G0kemvsAKtVrpGFBpLD364raVCW6N5jZvNmYxh+OZ49ns45nT0QAwidtWfsht3vLeChBWqdVKn/9q43m6bSUA1DZ0JQw/sRJmhCwrNmqzEgaAxKbsjh6dcbwekWGMYzJghOyfgx0+648NxnjFShgAJnFNmFSsihnBNWFGcE0YACrftvLVyqX1W2aWhz7LiM84y7ESISPHMxmjj2dWwgCw+u7olrajM472ERnv7pIbnXG8HpGRYX5hhCz17nj29fL1iIwM83vFShgAVrkmHPGA49EZZ+0rZbTmZM+AEbLUe5bjSJaMnY5nVsIAMInfCZOK68OM4AwMI/idMAAk5t7RCfpnjFa/zJH9c7DDZ/2xwRivOB1NKv4gM4LT0YzgdDQAVL5t5YqqrbZ8q4d9OZ6tzUoYACbZemNWNbtsZIAo2T8Hjme/yh/PrIQBYJItd0dX+xZZ6RpKtbkhJ5+ZvJ6F5sbuaACovDu60kOwK8n0nkbUCIzgeJbTo/DxzEoYAFbfHd3SdnTG0b661vcjw9zYHc1MWerd8Wzf45mVMACsck04y0OSox4cXcmKc7PDvJBXlnp3PKsxN5/Mi5UwAEzid8IFVPpWXG1uyMlnJq9nobnxO2EASMy9owvZ5V6rECX758Dx7Ff545mVMABM4ppwAZWuoVSbG3Lymcnrudk14du3rRxdLJUmKBNzA218ZvJ6LDQ3TkcDwE4bsyLYyNBnI0NUP2zMYgWOZ3k9NjmeWQkDwA4bs7Kcp6/2LTLLe5KlH7BKrWbpRybPJO9JRD/crAMAEvvT4xvHjB1/Z998dt19mOn9yFIjsEqtZvr8ZvBI9H5E14iVMACsvjv6btue/TjaV9f6fmSYG7ujmSlLrTqe7Xs8sxIGgFWuCWd5YLuHYNeYmx3mhbyy1KrjWY25+aQfVsIAsOru6CzfyLL0I4tM70emvsAKtZqlH1k8E70f0X2xEgaASdw7upBd7rUKURzP8npscjyzEgaASdw7uoAs70mWfsAqtZqlH5k8k7wn7h0NAMXd3h296g43/j9zA218ZvJ6LjQ3UzZmjc44Xq8u6n3KMI8wQvbPgePZr5RzYGMWABQwdGNWFtW+Ra506mW3uSEnn5m8noXmxsYsAKi8MevVt7DWbzJn3+RaciIyKsn0nkbUCIzgeJbTo/DxzEoYAFbfHd3SdnTG0b661vcjw9zYHc1MWerd8Wzf45mVMACsck044gHHozM+ab+iFedmh3khryz17nhWY24+mRcrYQCYxO+EC6j0rbja3JCTz0xez0Jz43fCAJCYe0cXssu9ViFK9s+B49mv8sczK2EAmMQ14QIqXUOpNjfk5DOT17PQ3LgmDACV7x29okrftIC9OZ6tzUoYACbZend0lv4ZY61rWqwj++dgh8/6Y4MxXtlyYxZ5+YPMCE7hMoKNWQBQeWNWpYdgy4jPOMuxEiEjxzMZo49nVsIAsPrGrJa2ozOO9hEZ716gH51xvB6RkWF+YYQs9e549vXy9YiMDPN7xUoYAFa5JlzpIdiVMlpzsmfACFnqPctxJEvGTsczK2EAmMTvhEnF9WFGcAaGEfxOGAASc9vKBP0zRqtf5sj+Odjhs/7YYIxXrIQBYBLXhEnFqpgRXBNmBNeEAaDyvaNHr3KyfIONWrFVGk+WscAIlT4zjmfzxmIlDAA77Y6OkGWnXYRMuwkj2B3NKhzPHM9+Ync0ABQ1dHf0Sufpf+IaSp+xWBUzQpZarfT5rzaeZ8BY3tkd/afHYGdMRKaHPt9VaSxnfcnyYYWMtVrpGFBpLD1qxOloAFh9Y9bdtj37cbSPyBi5kaG1fYaxtGbbmMVMWWrV8ezr5eu9/s9MNWIlDACTNF8TzvLA9kwPn74r00OwI2TpB6xSq45nNebmk35YCQPAJLd3R2dZyUT0w1j6yNQXWKFWKx0DKo2lR1+shAFgEretTHBrNLd5szuaORzPHM9mH8+shAFgEret/JDbvOW9FSCsUquVPv/VxvMcdNtKK2EA2GElDD+xEmaELCs2arMSBoDEpuyOHp1xvB6RYYxjMmCE7J+DHT7rjw3GeMVKGAAmcU2YVKyKGcE1YUZwTRgAKt87+tXKpfVb5tnqpyVHRs6MsxwrETJyPJMx+ngWtjGrpe3ojKN9RMa7F+hHZxyvR2RkmF8YIUu9O559vXw9IiPD/F5xOhoAVjkdHfGA49EZZ+0rZbTmZM+AEbLUe5bjSJaMnY5nVsIAMImfKJGK68OM4AwMI/iJEgAk5raVCfpnjFa/zJH9c7DDZ/2xwRivWAkDwCSuCZOKVTEjuCbMCK4JA0BiVsIA0IGVMAAkZnd0gv4Z4/xsc2CMq/UvIsMYx2RcsRIGgElcEwaADlwTBoBKT1H6Z6/Of3sItoyfcrJktObIyJlxlpMlozVHRs6Ms5w7vzu3EgaA1XdHt7QdnXG0j8h4d5fc6Izj9YiM1eY3S8bRPiJDncn4KSciQ52NybhiJQwAq1wTbjn3fdZ2dMZZ+0oZrTky4jPO2lfKaM2REZ9x1r5Sxqpz88m1YT9RAoAO/EQJABJz28oE/TPG+dnmwBhX619EhjGOybhiJQwAk7gmDAAduCYMAJVvW9mi9Vz5K3duD5ZtLNXGYyzx1Nl3xhJPnc0bi5UwAOy0OzpClp12ETLtJoyQZddqBHWmzn5qG0Gdfb18/W5GBLujAaCoobujVzpP/xPXUL4zlnjq7DtjiafO+ozF7mgAqLw7+tU3jhnfhjI99PmuSmM568vsB2l/qtLcVBrLWV/U2b2MCJXG0qNGrIQBYPXd0Xfb9uzH0T4iY+Ruwtb2GcbSmh2xyzDLWI72ERnqLDZbnd3/P3vlPjaosytWwgCwyjXh3g847pXd8+HTd2V6CHaEFR6k3Stbnd37P1uos/iMCOqsjZUwAKy6OzrL78Ii+mEsfVQaj7HEZ0SpNB5jyTmWHn1x28oEt0Zzmze3E3zn9bvUmTp75/W71NlXU77T0QAwidtWfijqW1el8RhLPHX2nbHEU2ffuW0lABQ3dCUMALv4bSUMAHlN2R09OuN4PSLDGOdlrNK/iAxjnJexSv8iMoxxTMYVK2EAmMQ1YQDowDVhAKh828peD9JuzZGRM+MsJ0tGa46MnBlnOVkyWnNk5Mw4y7nzm2IrYQBYfXd0S9vRGUf7iIx3d8mNzjhej8hYbX6zZBztIzLUmYyfciIy1NmYjCtWwgCwyjXhLA/SzvIQ7CwZrTky4jPO2lfKaM2REZ9x1r5Sxqpz88m1YSthAJjE74QBoAO/EwaAxNw7OkH/jHF+tjkwxtX6F5FhjGMyrjgdDQAdOB0NAJVvW7mi1tMF2d25ZRr9qDNGUGdrsxIGgEm23phVTaWNDCv3r7pd5jF7/6p7FJrHK1bCADDJlrujq32L3O0ayirUGSOos7zsjgaAyrujKz0Eu5JM72mvGlFn82V6T9VZXY9E72lEjfydlTAArL47uqXt6IyjfXWt70eGuamUcbSvTp3NzTjaV/coVGdXrIQBYJVrwlkekhz14OhKVpybShmftF/RinNTKeOT9it6Ljg3n8yLlTAATOJ3wgXs8K14ReqMEdRZXn4nDACJuXd0IZXutbpy/6rbZR6z96+6R6F5vGIlDACTuCZcQKVrKJWoM0ZQZ2tfE75928rRxVJpgjKpNDeVxlJNpbmpNJZqHgvNjdPRALDTxqwINjL02cgQ1Y8MG2YiqLPv1Fk8dVa7zq5YCQPADhuzspynr/YtMst7kuX6VpaxqLO8cxMhy1jUWd65cbMOAEjsT49vHDO+qZ5988nyrXnn9yOiRtRZTpneD3VW1yPR+xFdI1bCALD67ui7bXv242hfXev7kWFuInYZZhnL0b46dRZPndWusytWwgCwyjXh3g847pW9w7WUFedm1oO0e2Wrs8/bzujHimPp3ZcsngvOzSf9sBIGgFV3R2f5RpalH1lkej8i+pJlPFn6kUWm90Od1fVM9H5E98VKGAAmce/oQirda1Wd5aXO4qmz2nV2xUoYACZx7+gCsrwnWa7bZBmLOss7NxGyjEWd5Z0b944GgMq7o1f8Bkvtuak0lmoqzU2lsVTzXGhupmzMGp1xvF7d6A0ps+Yxe/+q22Ues/evukehebzidDQA7LAxK4tq3yJXOvWyE3XGCOosLxuzAKDyxqxeD9JuzYnIqCTTe9qrRtTZfJneU3VW1yPRexpRI39nJQwAq++Obmk7OuNoX13r+5FhbiplHO2rU2dzM4721T0K1dkVK2EAWOWacJYHaXsIdo25qZTxSfsVrTg3lTI+ab+i54Jz88m8WAkDwCR+J1zADt+KV6TOGEGd5eV3wgCQmHtHF1LpXqsr96+6XeYxe/+qexSaxytWwgAwiWvCBVS6hlKJOmMEdZaXa8IAkNiWK2EA6M1KGAAS23p3dJb+GeP8bHNgjKv1LyLDGMdkXHE6GgA6cDoaACo9wOGfVXoItoz4jLOcLBmtOTJyZpzlZMlozZGRM+Ms587PqqyEAWD1jVktbUdnHO0jMt69QD8643g9ImO1+c2ScbSPyFBnMn7KichQZ2MyrlgJA8Aq14QrPQS7UkZrjoz4jLP2lTJac2TEZ5y1r5Sx6tx8cm3YShgAJvE7YQDowO+EASAxt61M0D9jnJ9tDoxxtf5FZBjjmIwrVsIAMIlrwgDQgWvCAFD53tEtWs+Vv3LnHp3ZxlJtPMYST519Zyzx1Nm8sVgJA8BOu6MjZNlpFyHTbsIIWXatRlBn6uynthHU2dfL1+9mRLA7GgCKGro7eqXz9D9xDeU7Y4mnzr4zlnjqrM9Y3tkd/afHYGdMRKaHPt9VaSxnfZn9IO1PVZqbSmM564s6u5cRodJYetSI09EAsPrGrLtte/bjaB+RMXIjQ2v7DGNpzY7Y4JBlLEf7iAx1Fputzu7/n71yHxvU2RUrYQCYpPmacO8HHPfK7vnw6bsyPQQ7wgoP0u6Vrc7u/Z8t1Fl8RgR11sZKGAAm+VNlS3pEP4ylj0rjMZb4jCiVxmMsOcfSoy9WwgAwidtWJrg1mtu8uZ3gO6/fpc7U2Tuv36XOvpryrYQBYBK3rfxQ1LeuSuMxlnjq7DtjiafO5t220koYAHZYCQPALn5bCQNAXlN2R4/OOF6PyDDGeRmr9C8iwxjnZazSv4gMYxyTccVKGAAmcU0YADpwTRgAKt87+tX579bfV52dQ2/JkZEz4ywnS0ZrjoycGWc5WTJac2TkzDjLufOb4rCNWS1tR2cc7SMy3r1APzrjeD0iY7X5zZJxtI/IUGcyfsqJyFBnYzKuOB0NAKucjs7yIO0sD8HOktGaIyM+46x9pYzWHBnxGWftK2WsOjefnJa2EgaASfxECQA68BMlAEjMbSsT9M8Y52ebA2NcrX8RGcY4JuOKlTAATOKaMAB04JowAFRYCQMAsayEAWASf4QBYBJ/hAFgEn+EAWASf4QBYBJ/hAFgEn+EAWASf4QBYBJ/hAHg1xz/A5/7+q+m84b6AAAAAElFTkSuQmCC",
+      "text/plain": [
+       "<Figure size 600x600 with 1 Axes>"
+      ]
      },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
    "source": [
-    "im = ps.generators.sierpinski_foam(dmin=5, n=5, ndim=2)\n",
+    "im = ps.generators.sierpinski_foam([3**5, 3**5], n=5, mode=None)\n",
     "fig, ax = plt.subplots(1, 1, figsize=[6, 6])\n",
     "ax.imshow(im, interpolation='none', origin='lower')\n",
     "ax.axis(False);"
@@ -103,7 +115,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 5,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-04-25T01:54:53.616670Z",
@@ -113,29 +125,15 @@
     }
    },
    "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "63b39b9d471c45118e381ce735bfa849",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/10 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
-      "Item                      Description\n",
+      "Results of boxcount generated at Sat Mar  8 23:56:05 2025\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n",
       "size                      Array of size (10,)\n",
-      "count                     [6505, 4095, 1435, 552, 206, 77, 24, 9, 4, 1]\n",
+      "count                     [544, 291, 160, 77, 35, 25, 9, 9, 4, 1]\n",
       "slope                     Array of size (10,)\n",
       "――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――――\n"
      ]
@@ -155,7 +153,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 6,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-04-25T01:54:54.276304Z",
@@ -167,14 +165,12 @@
    "outputs": [
     {
      "data": {
-      "image/png": "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\n",
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 864x432 with 2 Axes>"
+       "<Figure size 1200x600 with 2 Axes>"
       ]
      },
-     "metadata": {
-      "needs_background": "light"
-     },
+     "metadata": {},
      "output_type": "display_data"
     }
    ],
@@ -201,7 +197,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 7,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-04-25T01:54:55.132837Z",
@@ -213,29 +209,13 @@
    "outputs": [
     {
      "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "99e166d430c94a4482e911b2f9c051ec",
-       "version_major": 2,
-       "version_minor": 0
-      },
+      "image/png": "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",
       "text/plain": [
-       "  0%|          | 0/20 [00:00<?, ?it/s]"
+       "<Figure size 1200x600 with 2 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "data": {
-      "image/png": "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\n",
-      "text/plain": [
-       "<Figure size 864x432 with 2 Axes>"
-      ]
-     },
-     "metadata": {
-      "needs_background": "light"
-     },
-     "output_type": "display_data"
     }
    ],
    "source": [
@@ -255,7 +235,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -269,7 +249,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.12.7"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
@@ -483,11 +463,11 @@
        "description": "",
        "description_tooltip": null,
        "layout": "IPY_MODEL_86223e3bdd0c4b4b86b4702d233733eb",
-       "max": 20.0,
-       "min": 0.0,
+       "max": 20,
+       "min": 0,
        "orientation": "horizontal",
        "style": "IPY_MODEL_51c90ebeb3da43ab89f7d8dc83585db1",
-       "value": 20.0
+       "value": 20
       }
      },
      "4a929296fb614e809dc9528b8ef42cfa": {
@@ -528,11 +508,11 @@
        "description": "",
        "description_tooltip": null,
        "layout": "IPY_MODEL_1afa40688e3e4ed7ab32c2be99d05234",
-       "max": 10.0,
-       "min": 0.0,
+       "max": 10,
+       "min": 0,
        "orientation": "horizontal",
        "style": "IPY_MODEL_acefc179ba0140d5ae4b7c0bbc826fdd",
-       "value": 10.0
+       "value": 10
       }
      },
      "51c90ebeb3da43ab89f7d8dc83585db1": {
diff --git a/examples/metrics/tutorials/computing_fractal_dim.ipynb b/examples/metrics/tutorials/computing_fractal_dim.ipynb
index 0e5fc67cb..5b0556361 100644
--- a/examples/metrics/tutorials/computing_fractal_dim.ipynb
+++ b/examples/metrics/tutorials/computing_fractal_dim.ipynb
@@ -77,7 +77,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 8,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-04-25T01:54:46.387771Z",
@@ -89,455 +89,36 @@
    "outputs": [
     {
      "data": {
-      "image/svg+xml": [
-       "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
-       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
-       "  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
-       "<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"283.324039pt\" height=\"276.467099pt\" viewBox=\"0 0 283.324039 276.467099\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n",
-       " <metadata>\n",
-       "  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
-       "   <cc:Work>\n",
-       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>2022-04-24T21:54:46.555394</dc:date>\n",
-       "    <dc:format>image/svg+xml</dc:format>\n",
-       "    <dc:creator>\n",
-       "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.5.1, https://matplotlib.org/</dc:title>\n",
-       "     </cc:Agent>\n",
-       "    </dc:creator>\n",
-       "   </cc:Work>\n",
-       "  </rdf:RDF>\n",
-       " </metadata>\n",
-       " <defs>\n",
-       "  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
-       " </defs>\n",
-       " <g id=\"figure_1\">\n",
-       "  <g id=\"patch_1\">\n",
-       "   <path d=\"M 0 276.467099 \n",
-       "L 283.324039 276.467099 \n",
-       "L 283.324039 0 \n",
-       "L 0 0 \n",
-       "L 0 276.467099 \n",
-       "z\n",
-       "\" style=\"fill: none\"/>\n",
-       "  </g>\n",
-       "  <g id=\"axes_1\">\n",
-       "   <g id=\"patch_2\">\n",
-       "    <path d=\"M 33.605 254.153349 \n",
-       "L 276.124039 254.153349 \n",
-       "L 276.124039 11.63431 \n",
-       "L 33.605 11.63431 \n",
-       "z\n",
-       "\" style=\"fill: #ffffff\"/>\n",
-       "   </g>\n",
-       "   <g clip-path=\"url(#p804759ecab)\">\n",
-       "    <image xlink:href=\"data:image/png;base64,\n",
-       "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\" id=\"image2c1d38db83\" transform=\"matrix(0.25 0 0 0.25 33.605 11.153349)\" style=\"image-rendering:crisp-edges;image-rendering:pixelated\" width=\"972\" height=\"972\"/>\n",
-       "   </g>\n",
-       "   <g id=\"matplotlib.axis_1\">\n",
-       "    <g id=\"xtick_1\">\n",
-       "     <g id=\"line2d_1\">\n",
-       "      <defs>\n",
-       "       <path id=\"m0cf32ca520\" d=\"M 0 0 \n",
-       "L 0 -6 \n",
-       "\" style=\"stroke: #000000; stroke-width: 2\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m0cf32ca520\" x=\"33.729753\" y=\"254.153349\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_2\">\n",
-       "      <defs>\n",
-       "       <path id=\"me919f1c77b\" d=\"M 0 0 \n",
-       "L 0 6 \n",
-       "\" style=\"stroke: #000000; stroke-width: 2\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#me919f1c77b\" x=\"33.729753\" y=\"11.63431\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_1\">\n",
-       "      <!-- 0 -->\n",
-       "      <g transform=\"translate(29.912253 266.771474)scale(0.12 -0.12)\">\n",
-       "       <defs>\n",
-       "        <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \n",
-       "Q 1547 4250 1301 3770 \n",
-       "Q 1056 3291 1056 2328 \n",
-       "Q 1056 1369 1301 889 \n",
-       "Q 1547 409 2034 409 \n",
-       "Q 2525 409 2770 889 \n",
-       "Q 3016 1369 3016 2328 \n",
-       "Q 3016 3291 2770 3770 \n",
-       "Q 2525 4250 2034 4250 \n",
-       "z\n",
-       "M 2034 4750 \n",
-       "Q 2819 4750 3233 4129 \n",
-       "Q 3647 3509 3647 2328 \n",
-       "Q 3647 1150 3233 529 \n",
-       "Q 2819 -91 2034 -91 \n",
-       "Q 1250 -91 836 529 \n",
-       "Q 422 1150 422 2328 \n",
-       "Q 422 3509 836 4129 \n",
-       "Q 1250 4750 2034 4750 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       </defs>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_2\">\n",
-       "     <g id=\"line2d_3\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m0cf32ca520\" x=\"83.630789\" y=\"254.153349\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_4\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#me919f1c77b\" x=\"83.630789\" y=\"11.63431\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_2\">\n",
-       "      <!-- 200 -->\n",
-       "      <g transform=\"translate(72.178289 266.771474)scale(0.12 -0.12)\">\n",
-       "       <defs>\n",
-       "        <path id=\"DejaVuSans-32\" d=\"M 1228 531 \n",
-       "L 3431 531 \n",
-       "L 3431 0 \n",
-       "L 469 0 \n",
-       "L 469 531 \n",
-       "Q 828 903 1448 1529 \n",
-       "Q 2069 2156 2228 2338 \n",
-       "Q 2531 2678 2651 2914 \n",
-       "Q 2772 3150 2772 3378 \n",
-       "Q 2772 3750 2511 3984 \n",
-       "Q 2250 4219 1831 4219 \n",
-       "Q 1534 4219 1204 4116 \n",
-       "Q 875 4013 500 3803 \n",
-       "L 500 4441 \n",
-       "Q 881 4594 1212 4672 \n",
-       "Q 1544 4750 1819 4750 \n",
-       "Q 2544 4750 2975 4387 \n",
-       "Q 3406 4025 3406 3419 \n",
-       "Q 3406 3131 3298 2873 \n",
-       "Q 3191 2616 2906 2266 \n",
-       "Q 2828 2175 2409 1742 \n",
-       "Q 1991 1309 1228 531 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       </defs>\n",
-       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_3\">\n",
-       "     <g id=\"line2d_5\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m0cf32ca520\" x=\"133.531826\" y=\"254.153349\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_6\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#me919f1c77b\" x=\"133.531826\" y=\"11.63431\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_3\">\n",
-       "      <!-- 400 -->\n",
-       "      <g transform=\"translate(122.079326 266.771474)scale(0.12 -0.12)\">\n",
-       "       <defs>\n",
-       "        <path id=\"DejaVuSans-34\" d=\"M 2419 4116 \n",
-       "L 825 1625 \n",
-       "L 2419 1625 \n",
-       "L 2419 4116 \n",
-       "z\n",
-       "M 2253 4666 \n",
-       "L 3047 4666 \n",
-       "L 3047 1625 \n",
-       "L 3713 1625 \n",
-       "L 3713 1100 \n",
-       "L 3047 1100 \n",
-       "L 3047 0 \n",
-       "L 2419 0 \n",
-       "L 2419 1100 \n",
-       "L 313 1100 \n",
-       "L 313 1709 \n",
-       "L 2253 4666 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       </defs>\n",
-       "       <use xlink:href=\"#DejaVuSans-34\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_4\">\n",
-       "     <g id=\"line2d_7\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m0cf32ca520\" x=\"183.432863\" y=\"254.153349\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_8\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#me919f1c77b\" x=\"183.432863\" y=\"11.63431\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_4\">\n",
-       "      <!-- 600 -->\n",
-       "      <g transform=\"translate(171.980363 266.771474)scale(0.12 -0.12)\">\n",
-       "       <defs>\n",
-       "        <path id=\"DejaVuSans-36\" d=\"M 2113 2584 \n",
-       "Q 1688 2584 1439 2293 \n",
-       "Q 1191 2003 1191 1497 \n",
-       "Q 1191 994 1439 701 \n",
-       "Q 1688 409 2113 409 \n",
-       "Q 2538 409 2786 701 \n",
-       "Q 3034 994 3034 1497 \n",
-       "Q 3034 2003 2786 2293 \n",
-       "Q 2538 2584 2113 2584 \n",
-       "z\n",
-       "M 3366 4563 \n",
-       "L 3366 3988 \n",
-       "Q 3128 4100 2886 4159 \n",
-       "Q 2644 4219 2406 4219 \n",
-       "Q 1781 4219 1451 3797 \n",
-       "Q 1122 3375 1075 2522 \n",
-       "Q 1259 2794 1537 2939 \n",
-       "Q 1816 3084 2150 3084 \n",
-       "Q 2853 3084 3261 2657 \n",
-       "Q 3669 2231 3669 1497 \n",
-       "Q 3669 778 3244 343 \n",
-       "Q 2819 -91 2113 -91 \n",
-       "Q 1303 -91 875 529 \n",
-       "Q 447 1150 447 2328 \n",
-       "Q 447 3434 972 4092 \n",
-       "Q 1497 4750 2381 4750 \n",
-       "Q 2619 4750 2861 4703 \n",
-       "Q 3103 4656 3366 4563 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       </defs>\n",
-       "       <use xlink:href=\"#DejaVuSans-36\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_5\">\n",
-       "     <g id=\"line2d_9\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m0cf32ca520\" x=\"233.3339\" y=\"254.153349\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_10\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#me919f1c77b\" x=\"233.3339\" y=\"11.63431\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_5\">\n",
-       "      <!-- 800 -->\n",
-       "      <g transform=\"translate(221.8814 266.771474)scale(0.12 -0.12)\">\n",
-       "       <defs>\n",
-       "        <path id=\"DejaVuSans-38\" d=\"M 2034 2216 \n",
-       "Q 1584 2216 1326 1975 \n",
-       "Q 1069 1734 1069 1313 \n",
-       "Q 1069 891 1326 650 \n",
-       "Q 1584 409 2034 409 \n",
-       "Q 2484 409 2743 651 \n",
-       "Q 3003 894 3003 1313 \n",
-       "Q 3003 1734 2745 1975 \n",
-       "Q 2488 2216 2034 2216 \n",
-       "z\n",
-       "M 1403 2484 \n",
-       "Q 997 2584 770 2862 \n",
-       "Q 544 3141 544 3541 \n",
-       "Q 544 4100 942 4425 \n",
-       "Q 1341 4750 2034 4750 \n",
-       "Q 2731 4750 3128 4425 \n",
-       "Q 3525 4100 3525 3541 \n",
-       "Q 3525 3141 3298 2862 \n",
-       "Q 3072 2584 2669 2484 \n",
-       "Q 3125 2378 3379 2068 \n",
-       "Q 3634 1759 3634 1313 \n",
-       "Q 3634 634 3220 271 \n",
-       "Q 2806 -91 2034 -91 \n",
-       "Q 1263 -91 848 271 \n",
-       "Q 434 634 434 1313 \n",
-       "Q 434 1759 690 2068 \n",
-       "Q 947 2378 1403 2484 \n",
-       "z\n",
-       "M 1172 3481 \n",
-       "Q 1172 3119 1398 2916 \n",
-       "Q 1625 2713 2034 2713 \n",
-       "Q 2441 2713 2670 2916 \n",
-       "Q 2900 3119 2900 3481 \n",
-       "Q 2900 3844 2670 4047 \n",
-       "Q 2441 4250 2034 4250 \n",
-       "Q 1625 4250 1398 4047 \n",
-       "Q 1172 3844 1172 3481 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       </defs>\n",
-       "       <use xlink:href=\"#DejaVuSans-38\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "   </g>\n",
-       "   <g id=\"matplotlib.axis_2\">\n",
-       "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_11\">\n",
-       "      <defs>\n",
-       "       <path id=\"mac655db296\" d=\"M 0 0 \n",
-       "L 6 0 \n",
-       "\" style=\"stroke: #000000; stroke-width: 2\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mac655db296\" x=\"33.605\" y=\"11.759062\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_12\">\n",
-       "      <defs>\n",
-       "       <path id=\"md6c46bfac9\" d=\"M 0 0 \n",
-       "L -6 0 \n",
-       "\" style=\"stroke: #000000; stroke-width: 2\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#md6c46bfac9\" x=\"276.124039\" y=\"11.759062\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_6\">\n",
-       "      <!-- 0 -->\n",
-       "      <g transform=\"translate(22.47 16.318125)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-30\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_13\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mac655db296\" x=\"33.605\" y=\"61.660099\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_14\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#md6c46bfac9\" x=\"276.124039\" y=\"61.660099\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_7\">\n",
-       "      <!-- 200 -->\n",
-       "      <g transform=\"translate(7.2 66.219162)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_15\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mac655db296\" x=\"33.605\" y=\"111.561136\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_16\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#md6c46bfac9\" x=\"276.124039\" y=\"111.561136\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_8\">\n",
-       "      <!-- 400 -->\n",
-       "      <g transform=\"translate(7.2 116.120199)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-34\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_17\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mac655db296\" x=\"33.605\" y=\"161.462173\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_18\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#md6c46bfac9\" x=\"276.124039\" y=\"161.462173\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_9\">\n",
-       "      <!-- 600 -->\n",
-       "      <g transform=\"translate(7.2 166.021236)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-36\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_19\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mac655db296\" x=\"33.605\" y=\"211.36321\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_20\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#md6c46bfac9\" x=\"276.124039\" y=\"211.36321\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_10\">\n",
-       "      <!-- 800 -->\n",
-       "      <g transform=\"translate(7.2 215.922273)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-38\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"127.246094\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "   </g>\n",
-       "   <g id=\"patch_3\">\n",
-       "    <path d=\"M 33.605 254.153349 \n",
-       "L 33.605 11.63431 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "   <g id=\"patch_4\">\n",
-       "    <path d=\"M 276.124039 254.153349 \n",
-       "L 276.124039 11.63431 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "   <g id=\"patch_5\">\n",
-       "    <path d=\"M 33.605 254.153349 \n",
-       "L 276.124039 254.153349 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "   <g id=\"patch_6\">\n",
-       "    <path d=\"M 33.605 11.63431 \n",
-       "L 276.124039 11.63431 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "  </g>\n",
-       " </g>\n",
-       " <defs>\n",
-       "  <clipPath id=\"p804759ecab\">\n",
-       "   <rect x=\"33.605\" y=\"11.63431\" width=\"242.519039\" height=\"242.519039\"/>\n",
-       "  </clipPath>\n",
-       " </defs>\n",
-       "</svg>\n"
-      ],
+      "application/vnd.jupyter.widget-view+json": {
+       "model_id": "0d09311c6bde4f6db7b2b189e025847c",
+       "version_major": 2,
+       "version_minor": 0
+      },
       "text/plain": [
-       "<Figure size 432x288 with 1 Axes>"
+       "0it [00:00, ?it/s]"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": "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",
+      "text/plain": [
+       "<Figure size 640x480 with 1 Axes>"
       ]
      },
      "metadata": {
-      "needs_background": "light"
+      "image/png": {
+       "height": 463,
+       "width": 479
+      }
      },
      "output_type": "display_data"
     }
    ],
    "source": [
-    "im = ps.generators.sierpinski_foam(4, 5)\n",
+    "im = ps.generators.sierpinski_foam([3**6, 3**6], n=5, mode=None)\n",
     "plt.imshow(im);"
    ]
   },
@@ -550,7 +131,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 10,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-04-25T01:54:46.662046Z",
@@ -559,29 +140,14 @@
      "shell.execute_reply": "2022-04-25T01:54:46.938217Z"
     }
    },
-   "outputs": [
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "e8fef85b53bb4a069b08e10add8450a4",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "  0%|          | 0/10 [00:00<?, ?it/s]"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
+   "outputs": [],
    "source": [
     "data = ps.metrics.boxcount(im)"
    ]
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 11,
    "metadata": {
     "execution": {
      "iopub.execute_input": "2022-04-25T01:54:46.941071Z",
@@ -593,2093 +159,16 @@
    "outputs": [
     {
      "data": {
-      "image/svg+xml": [
-       "<?xml version=\"1.0\" encoding=\"utf-8\" standalone=\"no\"?>\n",
-       "<!DOCTYPE svg PUBLIC \"-//W3C//DTD SVG 1.1//EN\"\n",
-       "  \"http://www.w3.org/Graphics/SVG/1.1/DTD/svg11.dtd\">\n",
-       "<svg xmlns:xlink=\"http://www.w3.org/1999/xlink\" width=\"563.685569pt\" height=\"276.406194pt\" viewBox=\"0 0 563.685569 276.406194\" xmlns=\"http://www.w3.org/2000/svg\" version=\"1.1\">\n",
-       " <metadata>\n",
-       "  <rdf:RDF xmlns:dc=\"http://purl.org/dc/elements/1.1/\" xmlns:cc=\"http://creativecommons.org/ns#\" xmlns:rdf=\"http://www.w3.org/1999/02/22-rdf-syntax-ns#\">\n",
-       "   <cc:Work>\n",
-       "    <dc:type rdf:resource=\"http://purl.org/dc/dcmitype/StillImage\"/>\n",
-       "    <dc:date>2022-04-24T21:54:47.752429</dc:date>\n",
-       "    <dc:format>image/svg+xml</dc:format>\n",
-       "    <dc:creator>\n",
-       "     <cc:Agent>\n",
-       "      <dc:title>Matplotlib v3.5.1, https://matplotlib.org/</dc:title>\n",
-       "     </cc:Agent>\n",
-       "    </dc:creator>\n",
-       "   </cc:Work>\n",
-       "  </rdf:RDF>\n",
-       " </metadata>\n",
-       " <defs>\n",
-       "  <style type=\"text/css\">*{stroke-linejoin: round; stroke-linecap: butt}</style>\n",
-       " </defs>\n",
-       " <g id=\"figure_1\">\n",
-       "  <g id=\"patch_1\">\n",
-       "   <path d=\"M 0 276.406194 \n",
-       "L 563.685569 276.406194 \n",
-       "L 563.685569 0 \n",
-       "L 0 0 \n",
-       "L 0 276.406194 \n",
-       "z\n",
-       "\" style=\"fill: none\"/>\n",
-       "  </g>\n",
-       "  <g id=\"axes_1\">\n",
-       "   <g id=\"patch_2\">\n",
-       "    <path d=\"M 51.43375 234.478694 \n",
-       "L 274.296649 234.478694 \n",
-       "L 274.296649 9.543966 \n",
-       "L 51.43375 9.543966 \n",
-       "z\n",
-       "\" style=\"fill: #ffffff\"/>\n",
-       "   </g>\n",
-       "   <g id=\"matplotlib.axis_1\">\n",
-       "    <g id=\"xtick_1\">\n",
-       "     <g id=\"line2d_1\">\n",
-       "      <defs>\n",
-       "       <path id=\"m1a70e80b06\" d=\"M 0 0 \n",
-       "L 0 -6 \n",
-       "\" style=\"stroke: #000000; stroke-width: 2\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1a70e80b06\" x=\"61.563882\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_2\">\n",
-       "      <defs>\n",
-       "       <path id=\"m1b824f92bd\" d=\"M 0 0 \n",
-       "L 0 6 \n",
-       "\" style=\"stroke: #000000; stroke-width: 2\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1b824f92bd\" x=\"61.563882\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_1\">\n",
-       "      <!-- $\\mathdefault{10^{1}}$ -->\n",
-       "      <g transform=\"translate(51.003882 247.096819)scale(0.12 -0.12)\">\n",
-       "       <defs>\n",
-       "        <path id=\"DejaVuSans-31\" d=\"M 794 531 \n",
-       "L 1825 531 \n",
-       "L 1825 4091 \n",
-       "L 703 3866 \n",
-       "L 703 4441 \n",
-       "L 1819 4666 \n",
-       "L 2450 4666 \n",
-       "L 2450 531 \n",
-       "L 3481 531 \n",
-       "L 3481 0 \n",
-       "L 794 0 \n",
-       "L 794 531 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "        <path id=\"DejaVuSans-30\" d=\"M 2034 4250 \n",
-       "Q 1547 4250 1301 3770 \n",
-       "Q 1056 3291 1056 2328 \n",
-       "Q 1056 1369 1301 889 \n",
-       "Q 1547 409 2034 409 \n",
-       "Q 2525 409 2770 889 \n",
-       "Q 3016 1369 3016 2328 \n",
-       "Q 3016 3291 2770 3770 \n",
-       "Q 2525 4250 2034 4250 \n",
-       "z\n",
-       "M 2034 4750 \n",
-       "Q 2819 4750 3233 4129 \n",
-       "Q 3647 3509 3647 2328 \n",
-       "Q 3647 1150 3233 529 \n",
-       "Q 2819 -91 2034 -91 \n",
-       "Q 1250 -91 836 529 \n",
-       "Q 422 1150 422 2328 \n",
-       "Q 422 3509 836 4129 \n",
-       "Q 1250 4750 2034 4750 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       </defs>\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(128.203125 38.965625)scale(0.7)\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_2\">\n",
-       "     <g id=\"line2d_3\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1a70e80b06\" x=\"163.493788\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_4\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1b824f92bd\" x=\"163.493788\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_2\">\n",
-       "      <!-- $\\mathdefault{10^{2}}$ -->\n",
-       "      <g transform=\"translate(152.933788 247.096819)scale(0.12 -0.12)\">\n",
-       "       <defs>\n",
-       "        <path id=\"DejaVuSans-32\" d=\"M 1228 531 \n",
-       "L 3431 531 \n",
-       "L 3431 0 \n",
-       "L 469 0 \n",
-       "L 469 531 \n",
-       "Q 828 903 1448 1529 \n",
-       "Q 2069 2156 2228 2338 \n",
-       "Q 2531 2678 2651 2914 \n",
-       "Q 2772 3150 2772 3378 \n",
-       "Q 2772 3750 2511 3984 \n",
-       "Q 2250 4219 1831 4219 \n",
-       "Q 1534 4219 1204 4116 \n",
-       "Q 875 4013 500 3803 \n",
-       "L 500 4441 \n",
-       "Q 881 4594 1212 4672 \n",
-       "Q 1544 4750 1819 4750 \n",
-       "Q 2544 4750 2975 4387 \n",
-       "Q 3406 4025 3406 3419 \n",
-       "Q 3406 3131 3298 2873 \n",
-       "Q 3191 2616 2906 2266 \n",
-       "Q 2828 2175 2409 1742 \n",
-       "Q 1991 1309 1228 531 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       </defs>\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_3\">\n",
-       "     <g id=\"line2d_5\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1a70e80b06\" x=\"265.423694\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_6\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1b824f92bd\" x=\"265.423694\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_3\">\n",
-       "      <!-- $\\mathdefault{10^{3}}$ -->\n",
-       "      <g transform=\"translate(254.863694 247.096819)scale(0.12 -0.12)\">\n",
-       "       <defs>\n",
-       "        <path id=\"DejaVuSans-33\" d=\"M 2597 2516 \n",
-       "Q 3050 2419 3304 2112 \n",
-       "Q 3559 1806 3559 1356 \n",
-       "Q 3559 666 3084 287 \n",
-       "Q 2609 -91 1734 -91 \n",
-       "Q 1441 -91 1130 -33 \n",
-       "Q 819 25 488 141 \n",
-       "L 488 750 \n",
-       "Q 750 597 1062 519 \n",
-       "Q 1375 441 1716 441 \n",
-       "Q 2309 441 2620 675 \n",
-       "Q 2931 909 2931 1356 \n",
-       "Q 2931 1769 2642 2001 \n",
-       "Q 2353 2234 1838 2234 \n",
-       "L 1294 2234 \n",
-       "L 1294 2753 \n",
-       "L 1863 2753 \n",
-       "Q 2328 2753 2575 2939 \n",
-       "Q 2822 3125 2822 3475 \n",
-       "Q 2822 3834 2567 4026 \n",
-       "Q 2313 4219 1838 4219 \n",
-       "Q 1578 4219 1281 4162 \n",
-       "Q 984 4106 628 3988 \n",
-       "L 628 4550 \n",
-       "Q 988 4650 1302 4700 \n",
-       "Q 1616 4750 1894 4750 \n",
-       "Q 2613 4750 3031 4423 \n",
-       "Q 3450 4097 3450 3541 \n",
-       "Q 3450 3153 3228 2886 \n",
-       "Q 3006 2619 2597 2516 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       </defs>\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_4\">\n",
-       "     <g id=\"line2d_7\">\n",
-       "      <defs>\n",
-       "       <path id=\"m9848e15514\" d=\"M 0 0 \n",
-       "L 0 -2 \n",
-       "\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"51.685853\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_8\">\n",
-       "      <defs>\n",
-       "       <path id=\"mf84d10b0a0\" d=\"M 0 0 \n",
-       "L 0 2 \n",
-       "\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"51.685853\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_5\">\n",
-       "     <g id=\"line2d_9\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"56.899825\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_10\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"56.899825\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_6\">\n",
-       "     <g id=\"line2d_11\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"92.247841\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_12\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"92.247841\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_7\">\n",
-       "     <g id=\"line2d_13\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"110.196806\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_14\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"110.196806\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_8\">\n",
-       "     <g id=\"line2d_15\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"122.9318\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_16\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"122.9318\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_9\">\n",
-       "     <g id=\"line2d_17\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"132.809829\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_18\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"132.809829\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_10\">\n",
-       "     <g id=\"line2d_19\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"140.880766\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_20\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"140.880766\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_11\">\n",
-       "     <g id=\"line2d_21\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"147.704646\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_22\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"147.704646\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_12\">\n",
-       "     <g id=\"line2d_23\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"153.615759\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_24\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"153.615759\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_13\">\n",
-       "     <g id=\"line2d_25\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"158.829731\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_26\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"158.829731\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_14\">\n",
-       "     <g id=\"line2d_27\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"194.177747\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_28\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"194.177747\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_15\">\n",
-       "     <g id=\"line2d_29\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"212.126712\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_30\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"212.126712\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_16\">\n",
-       "     <g id=\"line2d_31\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"224.861706\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_32\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"224.861706\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_17\">\n",
-       "     <g id=\"line2d_33\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"234.739735\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_34\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"234.739735\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_18\">\n",
-       "     <g id=\"line2d_35\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"242.810672\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_36\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"242.810672\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_19\">\n",
-       "     <g id=\"line2d_37\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"249.634552\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_38\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"249.634552\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_20\">\n",
-       "     <g id=\"line2d_39\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"255.545665\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_40\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"255.545665\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_21\">\n",
-       "     <g id=\"line2d_41\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"260.759637\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_42\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"260.759637\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"text_4\">\n",
-       "     <!-- box edge length -->\n",
-       "     <g transform=\"translate(114.080512 266.710569)scale(0.12 -0.12)\">\n",
-       "      <defs>\n",
-       "       <path id=\"DejaVuSans-62\" d=\"M 3116 1747 \n",
-       "Q 3116 2381 2855 2742 \n",
-       "Q 2594 3103 2138 3103 \n",
-       "Q 1681 3103 1420 2742 \n",
-       "Q 1159 2381 1159 1747 \n",
-       "Q 1159 1113 1420 752 \n",
-       "Q 1681 391 2138 391 \n",
-       "Q 2594 391 2855 752 \n",
-       "Q 3116 1113 3116 1747 \n",
-       "z\n",
-       "M 1159 2969 \n",
-       "Q 1341 3281 1617 3432 \n",
-       "Q 1894 3584 2278 3584 \n",
-       "Q 2916 3584 3314 3078 \n",
-       "Q 3713 2572 3713 1747 \n",
-       "Q 3713 922 3314 415 \n",
-       "Q 2916 -91 2278 -91 \n",
-       "Q 1894 -91 1617 61 \n",
-       "Q 1341 213 1159 525 \n",
-       "L 1159 0 \n",
-       "L 581 0 \n",
-       "L 581 4863 \n",
-       "L 1159 4863 \n",
-       "L 1159 2969 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-6f\" d=\"M 1959 3097 \n",
-       "Q 1497 3097 1228 2736 \n",
-       "Q 959 2375 959 1747 \n",
-       "Q 959 1119 1226 758 \n",
-       "Q 1494 397 1959 397 \n",
-       "Q 2419 397 2687 759 \n",
-       "Q 2956 1122 2956 1747 \n",
-       "Q 2956 2369 2687 2733 \n",
-       "Q 2419 3097 1959 3097 \n",
-       "z\n",
-       "M 1959 3584 \n",
-       "Q 2709 3584 3137 3096 \n",
-       "Q 3566 2609 3566 1747 \n",
-       "Q 3566 888 3137 398 \n",
-       "Q 2709 -91 1959 -91 \n",
-       "Q 1206 -91 779 398 \n",
-       "Q 353 888 353 1747 \n",
-       "Q 353 2609 779 3096 \n",
-       "Q 1206 3584 1959 3584 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-78\" d=\"M 3513 3500 \n",
-       "L 2247 1797 \n",
-       "L 3578 0 \n",
-       "L 2900 0 \n",
-       "L 1881 1375 \n",
-       "L 863 0 \n",
-       "L 184 0 \n",
-       "L 1544 1831 \n",
-       "L 300 3500 \n",
-       "L 978 3500 \n",
-       "L 1906 2253 \n",
-       "L 2834 3500 \n",
-       "L 3513 3500 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-20\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-65\" d=\"M 3597 1894 \n",
-       "L 3597 1613 \n",
-       "L 953 1613 \n",
-       "Q 991 1019 1311 708 \n",
-       "Q 1631 397 2203 397 \n",
-       "Q 2534 397 2845 478 \n",
-       "Q 3156 559 3463 722 \n",
-       "L 3463 178 \n",
-       "Q 3153 47 2828 -22 \n",
-       "Q 2503 -91 2169 -91 \n",
-       "Q 1331 -91 842 396 \n",
-       "Q 353 884 353 1716 \n",
-       "Q 353 2575 817 3079 \n",
-       "Q 1281 3584 2069 3584 \n",
-       "Q 2775 3584 3186 3129 \n",
-       "Q 3597 2675 3597 1894 \n",
-       "z\n",
-       "M 3022 2063 \n",
-       "Q 3016 2534 2758 2815 \n",
-       "Q 2500 3097 2075 3097 \n",
-       "Q 1594 3097 1305 2825 \n",
-       "Q 1016 2553 972 2059 \n",
-       "L 3022 2063 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-64\" d=\"M 2906 2969 \n",
-       "L 2906 4863 \n",
-       "L 3481 4863 \n",
-       "L 3481 0 \n",
-       "L 2906 0 \n",
-       "L 2906 525 \n",
-       "Q 2725 213 2448 61 \n",
-       "Q 2172 -91 1784 -91 \n",
-       "Q 1150 -91 751 415 \n",
-       "Q 353 922 353 1747 \n",
-       "Q 353 2572 751 3078 \n",
-       "Q 1150 3584 1784 3584 \n",
-       "Q 2172 3584 2448 3432 \n",
-       "Q 2725 3281 2906 2969 \n",
-       "z\n",
-       "M 947 1747 \n",
-       "Q 947 1113 1208 752 \n",
-       "Q 1469 391 1925 391 \n",
-       "Q 2381 391 2643 752 \n",
-       "Q 2906 1113 2906 1747 \n",
-       "Q 2906 2381 2643 2742 \n",
-       "Q 2381 3103 1925 3103 \n",
-       "Q 1469 3103 1208 2742 \n",
-       "Q 947 2381 947 1747 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-67\" d=\"M 2906 1791 \n",
-       "Q 2906 2416 2648 2759 \n",
-       "Q 2391 3103 1925 3103 \n",
-       "Q 1463 3103 1205 2759 \n",
-       "Q 947 2416 947 1791 \n",
-       "Q 947 1169 1205 825 \n",
-       "Q 1463 481 1925 481 \n",
-       "Q 2391 481 2648 825 \n",
-       "Q 2906 1169 2906 1791 \n",
-       "z\n",
-       "M 3481 434 \n",
-       "Q 3481 -459 3084 -895 \n",
-       "Q 2688 -1331 1869 -1331 \n",
-       "Q 1566 -1331 1297 -1286 \n",
-       "Q 1028 -1241 775 -1147 \n",
-       "L 775 -588 \n",
-       "Q 1028 -725 1275 -790 \n",
-       "Q 1522 -856 1778 -856 \n",
-       "Q 2344 -856 2625 -561 \n",
-       "Q 2906 -266 2906 331 \n",
-       "L 2906 616 \n",
-       "Q 2728 306 2450 153 \n",
-       "Q 2172 0 1784 0 \n",
-       "Q 1141 0 747 490 \n",
-       "Q 353 981 353 1791 \n",
-       "Q 353 2603 747 3093 \n",
-       "Q 1141 3584 1784 3584 \n",
-       "Q 2172 3584 2450 3431 \n",
-       "Q 2728 3278 2906 2969 \n",
-       "L 2906 3500 \n",
-       "L 3481 3500 \n",
-       "L 3481 434 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-6c\" d=\"M 603 4863 \n",
-       "L 1178 4863 \n",
-       "L 1178 0 \n",
-       "L 603 0 \n",
-       "L 603 4863 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-6e\" d=\"M 3513 2113 \n",
-       "L 3513 0 \n",
-       "L 2938 0 \n",
-       "L 2938 2094 \n",
-       "Q 2938 2591 2744 2837 \n",
-       "Q 2550 3084 2163 3084 \n",
-       "Q 1697 3084 1428 2787 \n",
-       "Q 1159 2491 1159 1978 \n",
-       "L 1159 0 \n",
-       "L 581 0 \n",
-       "L 581 3500 \n",
-       "L 1159 3500 \n",
-       "L 1159 2956 \n",
-       "Q 1366 3272 1645 3428 \n",
-       "Q 1925 3584 2291 3584 \n",
-       "Q 2894 3584 3203 3211 \n",
-       "Q 3513 2838 3513 2113 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-74\" d=\"M 1172 4494 \n",
-       "L 1172 3500 \n",
-       "L 2356 3500 \n",
-       "L 2356 3053 \n",
-       "L 1172 3053 \n",
-       "L 1172 1153 \n",
-       "Q 1172 725 1289 603 \n",
-       "Q 1406 481 1766 481 \n",
-       "L 2356 481 \n",
-       "L 2356 0 \n",
-       "L 1766 0 \n",
-       "Q 1100 0 847 248 \n",
-       "Q 594 497 594 1153 \n",
-       "L 594 3053 \n",
-       "L 172 3053 \n",
-       "L 172 3500 \n",
-       "L 594 3500 \n",
-       "L 594 4494 \n",
-       "L 1172 4494 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-68\" d=\"M 3513 2113 \n",
-       "L 3513 0 \n",
-       "L 2938 0 \n",
-       "L 2938 2094 \n",
-       "Q 2938 2591 2744 2837 \n",
-       "Q 2550 3084 2163 3084 \n",
-       "Q 1697 3084 1428 2787 \n",
-       "Q 1159 2491 1159 1978 \n",
-       "L 1159 0 \n",
-       "L 581 0 \n",
-       "L 581 4863 \n",
-       "L 1159 4863 \n",
-       "L 1159 2956 \n",
-       "Q 1366 3272 1645 3428 \n",
-       "Q 1925 3584 2291 3584 \n",
-       "Q 2894 3584 3203 3211 \n",
-       "Q 3513 2838 3513 2113 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "      </defs>\n",
-       "      <use xlink:href=\"#DejaVuSans-62\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6f\" x=\"63.476562\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-78\" x=\"121.533203\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-20\" x=\"180.712891\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-65\" x=\"212.5\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-64\" x=\"274.023438\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-67\" x=\"337.5\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-65\" x=\"400.976562\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-20\" x=\"462.5\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6c\" x=\"494.287109\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-65\" x=\"522.070312\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6e\" x=\"583.59375\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-67\" x=\"646.972656\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-74\" x=\"710.449219\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-68\" x=\"749.658203\"/>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "   </g>\n",
-       "   <g id=\"matplotlib.axis_2\">\n",
-       "    <g id=\"ytick_1\">\n",
-       "     <g id=\"line2d_43\">\n",
-       "      <defs>\n",
-       "       <path id=\"m9bbf6644be\" d=\"M 0 0 \n",
-       "L 6 0 \n",
-       "\" style=\"stroke: #000000; stroke-width: 2\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9bbf6644be\" x=\"51.43375\" y=\"224.254388\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_44\">\n",
-       "      <defs>\n",
-       "       <path id=\"m1ff103936c\" d=\"M 0 0 \n",
-       "L -6 0 \n",
-       "\" style=\"stroke: #000000; stroke-width: 2\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1ff103936c\" x=\"274.296649\" y=\"224.254388\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_5\">\n",
-       "      <!-- $\\mathdefault{10^{0}}$ -->\n",
-       "      <g transform=\"translate(26.81375 228.813451)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_2\">\n",
-       "     <g id=\"line2d_45\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9bbf6644be\" x=\"51.43375\" y=\"171.130557\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_46\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1ff103936c\" x=\"274.296649\" y=\"171.130557\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_6\">\n",
-       "      <!-- $\\mathdefault{10^{1}}$ -->\n",
-       "      <g transform=\"translate(26.81375 175.689619)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(128.203125 38.965625)scale(0.7)\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_3\">\n",
-       "     <g id=\"line2d_47\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9bbf6644be\" x=\"51.43375\" y=\"118.006725\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_48\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1ff103936c\" x=\"274.296649\" y=\"118.006725\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_7\">\n",
-       "      <!-- $\\mathdefault{10^{2}}$ -->\n",
-       "      <g transform=\"translate(26.81375 122.565788)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_4\">\n",
-       "     <g id=\"line2d_49\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9bbf6644be\" x=\"51.43375\" y=\"64.882894\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_50\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1ff103936c\" x=\"274.296649\" y=\"64.882894\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_8\">\n",
-       "      <!-- $\\mathdefault{10^{3}}$ -->\n",
-       "      <g transform=\"translate(26.81375 69.441956)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_5\">\n",
-       "     <g id=\"line2d_51\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9bbf6644be\" x=\"51.43375\" y=\"11.759062\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_52\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1ff103936c\" x=\"274.296649\" y=\"11.759062\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_9\">\n",
-       "      <!-- $\\mathdefault{10^{4}}$ -->\n",
-       "      <g transform=\"translate(26.81375 16.318125)scale(0.12 -0.12)\">\n",
-       "       <defs>\n",
-       "        <path id=\"DejaVuSans-34\" d=\"M 2419 4116 \n",
-       "L 825 1625 \n",
-       "L 2419 1625 \n",
-       "L 2419 4116 \n",
-       "z\n",
-       "M 2253 4666 \n",
-       "L 3047 4666 \n",
-       "L 3047 1625 \n",
-       "L 3713 1625 \n",
-       "L 3713 1100 \n",
-       "L 3047 1100 \n",
-       "L 3047 0 \n",
-       "L 2419 0 \n",
-       "L 2419 1100 \n",
-       "L 313 1100 \n",
-       "L 313 1709 \n",
-       "L 2253 4666 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       </defs>\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-34\" transform=\"translate(128.203125 38.965625)scale(0.7)\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_6\">\n",
-       "     <g id=\"line2d_53\">\n",
-       "      <defs>\n",
-       "       <path id=\"m4cca533d48\" d=\"M 0 0 \n",
-       "L 2 0 \n",
-       "\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"232.483374\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_54\">\n",
-       "      <defs>\n",
-       "       <path id=\"m490844e87a\" d=\"M 0 0 \n",
-       "L -2 0 \n",
-       "\" style=\"stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </defs>\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"232.483374\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_7\">\n",
-       "     <g id=\"line2d_55\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"229.402619\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_56\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"229.402619\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_8\">\n",
-       "     <g id=\"line2d_57\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"226.685201\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_58\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"226.685201\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_9\">\n",
-       "     <g id=\"line2d_59\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"208.262521\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_60\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"208.262521\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_10\">\n",
-       "     <g id=\"line2d_61\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"198.907879\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_62\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"198.907879\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_11\">\n",
-       "     <g id=\"line2d_63\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"192.270655\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_64\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"192.270655\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_12\">\n",
-       "     <g id=\"line2d_65\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"187.122423\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_66\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"187.122423\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_13\">\n",
-       "     <g id=\"line2d_67\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"182.916012\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_68\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"182.916012\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_14\">\n",
-       "     <g id=\"line2d_69\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"179.359542\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_70\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"179.359542\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_15\">\n",
-       "     <g id=\"line2d_71\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"176.278788\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_72\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"176.278788\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_16\">\n",
-       "     <g id=\"line2d_73\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"173.56137\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_74\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"173.56137\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_17\">\n",
-       "     <g id=\"line2d_75\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"155.13869\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_76\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"155.13869\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_18\">\n",
-       "     <g id=\"line2d_77\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"145.784048\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_78\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"145.784048\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_19\">\n",
-       "     <g id=\"line2d_79\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"139.146823\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_80\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"139.146823\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_20\">\n",
-       "     <g id=\"line2d_81\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"133.998592\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_82\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"133.998592\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_21\">\n",
-       "     <g id=\"line2d_83\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"129.792181\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_84\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"129.792181\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_22\">\n",
-       "     <g id=\"line2d_85\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"126.235711\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_86\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"126.235711\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_23\">\n",
-       "     <g id=\"line2d_87\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"123.154957\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_88\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"123.154957\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_24\">\n",
-       "     <g id=\"line2d_89\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"120.437539\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_90\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"120.437539\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_25\">\n",
-       "     <g id=\"line2d_91\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"102.014859\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_92\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"102.014859\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_26\">\n",
-       "     <g id=\"line2d_93\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"92.660216\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_94\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"92.660216\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_27\">\n",
-       "     <g id=\"line2d_95\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"86.022992\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_96\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"86.022992\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_28\">\n",
-       "     <g id=\"line2d_97\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"80.874761\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_98\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"80.874761\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_29\">\n",
-       "     <g id=\"line2d_99\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"76.668349\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_100\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"76.668349\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_30\">\n",
-       "     <g id=\"line2d_101\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"73.11188\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_102\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"73.11188\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_31\">\n",
-       "     <g id=\"line2d_103\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"70.031125\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_104\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"70.031125\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_32\">\n",
-       "     <g id=\"line2d_105\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"67.313707\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_106\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"67.313707\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_33\">\n",
-       "     <g id=\"line2d_107\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"48.891027\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_108\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"48.891027\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_34\">\n",
-       "     <g id=\"line2d_109\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"39.536385\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_110\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"39.536385\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_35\">\n",
-       "     <g id=\"line2d_111\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"32.89916\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_112\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"32.89916\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_36\">\n",
-       "     <g id=\"line2d_113\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"27.750929\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_114\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"27.750929\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_37\">\n",
-       "     <g id=\"line2d_115\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"23.544518\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_116\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"23.544518\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_38\">\n",
-       "     <g id=\"line2d_117\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"19.988048\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_118\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"19.988048\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_39\">\n",
-       "     <g id=\"line2d_119\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"16.907294\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_120\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"16.907294\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_40\">\n",
-       "     <g id=\"line2d_121\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m4cca533d48\" x=\"51.43375\" y=\"14.189876\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_122\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m490844e87a\" x=\"274.296649\" y=\"14.189876\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"text_10\">\n",
-       "     <!-- number of boxes spanning phases -->\n",
-       "     <g transform=\"translate(16.318125 225.039768)rotate(-90)scale(0.12 -0.12)\">\n",
-       "      <defs>\n",
-       "       <path id=\"DejaVuSans-75\" d=\"M 544 1381 \n",
-       "L 544 3500 \n",
-       "L 1119 3500 \n",
-       "L 1119 1403 \n",
-       "Q 1119 906 1312 657 \n",
-       "Q 1506 409 1894 409 \n",
-       "Q 2359 409 2629 706 \n",
-       "Q 2900 1003 2900 1516 \n",
-       "L 2900 3500 \n",
-       "L 3475 3500 \n",
-       "L 3475 0 \n",
-       "L 2900 0 \n",
-       "L 2900 538 \n",
-       "Q 2691 219 2414 64 \n",
-       "Q 2138 -91 1772 -91 \n",
-       "Q 1169 -91 856 284 \n",
-       "Q 544 659 544 1381 \n",
-       "z\n",
-       "M 1991 3584 \n",
-       "L 1991 3584 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-6d\" d=\"M 3328 2828 \n",
-       "Q 3544 3216 3844 3400 \n",
-       "Q 4144 3584 4550 3584 \n",
-       "Q 5097 3584 5394 3201 \n",
-       "Q 5691 2819 5691 2113 \n",
-       "L 5691 0 \n",
-       "L 5113 0 \n",
-       "L 5113 2094 \n",
-       "Q 5113 2597 4934 2840 \n",
-       "Q 4756 3084 4391 3084 \n",
-       "Q 3944 3084 3684 2787 \n",
-       "Q 3425 2491 3425 1978 \n",
-       "L 3425 0 \n",
-       "L 2847 0 \n",
-       "L 2847 2094 \n",
-       "Q 2847 2600 2669 2842 \n",
-       "Q 2491 3084 2119 3084 \n",
-       "Q 1678 3084 1418 2786 \n",
-       "Q 1159 2488 1159 1978 \n",
-       "L 1159 0 \n",
-       "L 581 0 \n",
-       "L 581 3500 \n",
-       "L 1159 3500 \n",
-       "L 1159 2956 \n",
-       "Q 1356 3278 1631 3431 \n",
-       "Q 1906 3584 2284 3584 \n",
-       "Q 2666 3584 2933 3390 \n",
-       "Q 3200 3197 3328 2828 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-72\" d=\"M 2631 2963 \n",
-       "Q 2534 3019 2420 3045 \n",
-       "Q 2306 3072 2169 3072 \n",
-       "Q 1681 3072 1420 2755 \n",
-       "Q 1159 2438 1159 1844 \n",
-       "L 1159 0 \n",
-       "L 581 0 \n",
-       "L 581 3500 \n",
-       "L 1159 3500 \n",
-       "L 1159 2956 \n",
-       "Q 1341 3275 1631 3429 \n",
-       "Q 1922 3584 2338 3584 \n",
-       "Q 2397 3584 2469 3576 \n",
-       "Q 2541 3569 2628 3553 \n",
-       "L 2631 2963 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-66\" d=\"M 2375 4863 \n",
-       "L 2375 4384 \n",
-       "L 1825 4384 \n",
-       "Q 1516 4384 1395 4259 \n",
-       "Q 1275 4134 1275 3809 \n",
-       "L 1275 3500 \n",
-       "L 2222 3500 \n",
-       "L 2222 3053 \n",
-       "L 1275 3053 \n",
-       "L 1275 0 \n",
-       "L 697 0 \n",
-       "L 697 3053 \n",
-       "L 147 3053 \n",
-       "L 147 3500 \n",
-       "L 697 3500 \n",
-       "L 697 3744 \n",
-       "Q 697 4328 969 4595 \n",
-       "Q 1241 4863 1831 4863 \n",
-       "L 2375 4863 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-73\" d=\"M 2834 3397 \n",
-       "L 2834 2853 \n",
-       "Q 2591 2978 2328 3040 \n",
-       "Q 2066 3103 1784 3103 \n",
-       "Q 1356 3103 1142 2972 \n",
-       "Q 928 2841 928 2578 \n",
-       "Q 928 2378 1081 2264 \n",
-       "Q 1234 2150 1697 2047 \n",
-       "L 1894 2003 \n",
-       "Q 2506 1872 2764 1633 \n",
-       "Q 3022 1394 3022 966 \n",
-       "Q 3022 478 2636 193 \n",
-       "Q 2250 -91 1575 -91 \n",
-       "Q 1294 -91 989 -36 \n",
-       "Q 684 19 347 128 \n",
-       "L 347 722 \n",
-       "Q 666 556 975 473 \n",
-       "Q 1284 391 1588 391 \n",
-       "Q 1994 391 2212 530 \n",
-       "Q 2431 669 2431 922 \n",
-       "Q 2431 1156 2273 1281 \n",
-       "Q 2116 1406 1581 1522 \n",
-       "L 1381 1569 \n",
-       "Q 847 1681 609 1914 \n",
-       "Q 372 2147 372 2553 \n",
-       "Q 372 3047 722 3315 \n",
-       "Q 1072 3584 1716 3584 \n",
-       "Q 2034 3584 2315 3537 \n",
-       "Q 2597 3491 2834 3397 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-70\" d=\"M 1159 525 \n",
-       "L 1159 -1331 \n",
-       "L 581 -1331 \n",
-       "L 581 3500 \n",
-       "L 1159 3500 \n",
-       "L 1159 2969 \n",
-       "Q 1341 3281 1617 3432 \n",
-       "Q 1894 3584 2278 3584 \n",
-       "Q 2916 3584 3314 3078 \n",
-       "Q 3713 2572 3713 1747 \n",
-       "Q 3713 922 3314 415 \n",
-       "Q 2916 -91 2278 -91 \n",
-       "Q 1894 -91 1617 61 \n",
-       "Q 1341 213 1159 525 \n",
-       "z\n",
-       "M 3116 1747 \n",
-       "Q 3116 2381 2855 2742 \n",
-       "Q 2594 3103 2138 3103 \n",
-       "Q 1681 3103 1420 2742 \n",
-       "Q 1159 2381 1159 1747 \n",
-       "Q 1159 1113 1420 752 \n",
-       "Q 1681 391 2138 391 \n",
-       "Q 2594 391 2855 752 \n",
-       "Q 3116 1113 3116 1747 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-61\" d=\"M 2194 1759 \n",
-       "Q 1497 1759 1228 1600 \n",
-       "Q 959 1441 959 1056 \n",
-       "Q 959 750 1161 570 \n",
-       "Q 1363 391 1709 391 \n",
-       "Q 2188 391 2477 730 \n",
-       "Q 2766 1069 2766 1631 \n",
-       "L 2766 1759 \n",
-       "L 2194 1759 \n",
-       "z\n",
-       "M 3341 1997 \n",
-       "L 3341 0 \n",
-       "L 2766 0 \n",
-       "L 2766 531 \n",
-       "Q 2569 213 2275 61 \n",
-       "Q 1981 -91 1556 -91 \n",
-       "Q 1019 -91 701 211 \n",
-       "Q 384 513 384 1019 \n",
-       "Q 384 1609 779 1909 \n",
-       "Q 1175 2209 1959 2209 \n",
-       "L 2766 2209 \n",
-       "L 2766 2266 \n",
-       "Q 2766 2663 2505 2880 \n",
-       "Q 2244 3097 1772 3097 \n",
-       "Q 1472 3097 1187 3025 \n",
-       "Q 903 2953 641 2809 \n",
-       "L 641 3341 \n",
-       "Q 956 3463 1253 3523 \n",
-       "Q 1550 3584 1831 3584 \n",
-       "Q 2591 3584 2966 3190 \n",
-       "Q 3341 2797 3341 1997 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       <path id=\"DejaVuSans-69\" d=\"M 603 3500 \n",
-       "L 1178 3500 \n",
-       "L 1178 0 \n",
-       "L 603 0 \n",
-       "L 603 3500 \n",
-       "z\n",
-       "M 603 4863 \n",
-       "L 1178 4863 \n",
-       "L 1178 4134 \n",
-       "L 603 4134 \n",
-       "L 603 4863 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "      </defs>\n",
-       "      <use xlink:href=\"#DejaVuSans-6e\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-75\" x=\"63.378906\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6d\" x=\"126.757812\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-62\" x=\"224.169922\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-65\" x=\"287.646484\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-72\" x=\"349.169922\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-20\" x=\"390.283203\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6f\" x=\"422.070312\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-66\" x=\"483.251953\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-20\" x=\"518.457031\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-62\" x=\"550.244141\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6f\" x=\"613.720703\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-78\" x=\"671.777344\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-65\" x=\"727.832031\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-73\" x=\"789.355469\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-20\" x=\"841.455078\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-73\" x=\"873.242188\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-70\" x=\"925.341797\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-61\" x=\"988.818359\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6e\" x=\"1050.097656\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6e\" x=\"1113.476562\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-69\" x=\"1176.855469\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6e\" x=\"1204.638672\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-67\" x=\"1268.017578\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-20\" x=\"1331.494141\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-70\" x=\"1363.28125\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-68\" x=\"1426.757812\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-61\" x=\"1490.136719\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-73\" x=\"1551.416016\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-65\" x=\"1603.515625\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-73\" x=\"1665.039062\"/>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "   </g>\n",
-       "   <g id=\"line2d_123\">\n",
-       "    <path d=\"M 61.563882 19.768272 \n",
-       "L 82.369812 40.049622 \n",
-       "L 105.53275 64.335721 \n",
-       "L 128.145772 84.515981 \n",
-       "L 151.345128 107.599785 \n",
-       "L 174.074491 129.792181 \n",
-       "L 196.547868 150.932279 \n",
-       "L 219.076891 173.56137 \n",
-       "L 241.614177 192.270655 \n",
-       "L 264.166517 224.254388 \n",
-       "\" clip-path=\"url(#p7ccc3ca1f6)\" style=\"fill: none; stroke: #1f77b4; stroke-width: 2; stroke-linecap: square\"/>\n",
-       "    <defs>\n",
-       "     <path id=\"m8a05fe2cc2\" d=\"M 0 4 \n",
-       "C 1.060812 4 2.078319 3.578535 2.828427 2.828427 \n",
-       "C 3.578535 2.078319 4 1.060812 4 0 \n",
-       "C 4 -1.060812 3.578535 -2.078319 2.828427 -2.828427 \n",
-       "C 2.078319 -3.578535 1.060812 -4 0 -4 \n",
-       "C -1.060812 -4 -2.078319 -3.578535 -2.828427 -2.828427 \n",
-       "C -3.578535 -2.078319 -4 -1.060812 -4 0 \n",
-       "C -4 1.060812 -3.578535 2.078319 -2.828427 2.828427 \n",
-       "C -2.078319 3.578535 -1.060812 4 0 4 \n",
-       "z\n",
-       "\" style=\"stroke: #1f77b4\"/>\n",
-       "    </defs>\n",
-       "    <g clip-path=\"url(#p7ccc3ca1f6)\">\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"61.563882\" y=\"19.768272\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"82.369812\" y=\"40.049622\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"105.53275\" y=\"64.335721\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"128.145772\" y=\"84.515981\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"151.345128\" y=\"107.599785\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"174.074491\" y=\"129.792181\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"196.547868\" y=\"150.932279\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"219.076891\" y=\"173.56137\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"241.614177\" y=\"192.270655\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"264.166517\" y=\"224.254388\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "    </g>\n",
-       "   </g>\n",
-       "   <g id=\"patch_3\">\n",
-       "    <path d=\"M 51.43375 234.478694 \n",
-       "L 51.43375 9.543966 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "   <g id=\"patch_4\">\n",
-       "    <path d=\"M 274.296649 234.478694 \n",
-       "L 274.296649 9.543966 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "   <g id=\"patch_5\">\n",
-       "    <path d=\"M 51.43375 234.478694 \n",
-       "L 274.296649 234.478694 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "   <g id=\"patch_6\">\n",
-       "    <path d=\"M 51.43375 9.543966 \n",
-       "L 274.296649 9.543966 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "  </g>\n",
-       "  <g id=\"axes_2\">\n",
-       "   <g id=\"patch_7\">\n",
-       "    <path d=\"M 331.935625 234.478694 \n",
-       "L 554.798524 234.478694 \n",
-       "L 554.798524 9.543966 \n",
-       "L 331.935625 9.543966 \n",
-       "z\n",
-       "\" style=\"fill: #ffffff\"/>\n",
-       "   </g>\n",
-       "   <g id=\"matplotlib.axis_3\">\n",
-       "    <g id=\"xtick_22\">\n",
-       "     <g id=\"line2d_124\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1a70e80b06\" x=\"342.065757\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_125\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1b824f92bd\" x=\"342.065757\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_11\">\n",
-       "      <!-- $\\mathdefault{10^{1}}$ -->\n",
-       "      <g transform=\"translate(331.505757 247.096819)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.684375)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.684375)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(128.203125 38.965625)scale(0.7)\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_23\">\n",
-       "     <g id=\"line2d_126\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1a70e80b06\" x=\"443.995663\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_127\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1b824f92bd\" x=\"443.995663\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_12\">\n",
-       "      <!-- $\\mathdefault{10^{2}}$ -->\n",
-       "      <g transform=\"translate(433.435663 247.096819)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-32\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_24\">\n",
-       "     <g id=\"line2d_128\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1a70e80b06\" x=\"545.925569\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_129\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1b824f92bd\" x=\"545.925569\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_13\">\n",
-       "      <!-- $\\mathdefault{10^{3}}$ -->\n",
-       "      <g transform=\"translate(535.365569 247.096819)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-31\" transform=\"translate(0 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" transform=\"translate(63.623047 0.765625)\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-33\" transform=\"translate(128.203125 39.046875)scale(0.7)\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_25\">\n",
-       "     <g id=\"line2d_130\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"332.187728\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_131\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"332.187728\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_26\">\n",
-       "     <g id=\"line2d_132\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"337.4017\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_133\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"337.4017\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_27\">\n",
-       "     <g id=\"line2d_134\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"372.749716\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_135\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"372.749716\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_28\">\n",
-       "     <g id=\"line2d_136\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"390.698681\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_137\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"390.698681\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_29\">\n",
-       "     <g id=\"line2d_138\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"403.433675\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_139\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"403.433675\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_30\">\n",
-       "     <g id=\"line2d_140\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"413.311704\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_141\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"413.311704\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_31\">\n",
-       "     <g id=\"line2d_142\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"421.382641\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_143\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"421.382641\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_32\">\n",
-       "     <g id=\"line2d_144\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"428.206521\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_145\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"428.206521\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_33\">\n",
-       "     <g id=\"line2d_146\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"434.117634\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_147\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"434.117634\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_34\">\n",
-       "     <g id=\"line2d_148\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"439.331606\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_149\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"439.331606\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_35\">\n",
-       "     <g id=\"line2d_150\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"474.679622\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_151\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"474.679622\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_36\">\n",
-       "     <g id=\"line2d_152\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"492.628587\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_153\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"492.628587\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_37\">\n",
-       "     <g id=\"line2d_154\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"505.363581\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_155\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"505.363581\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_38\">\n",
-       "     <g id=\"line2d_156\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"515.24161\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_157\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"515.24161\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_39\">\n",
-       "     <g id=\"line2d_158\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"523.312547\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_159\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"523.312547\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_40\">\n",
-       "     <g id=\"line2d_160\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"530.136427\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_161\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"530.136427\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_41\">\n",
-       "     <g id=\"line2d_162\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"536.04754\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_163\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"536.04754\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"xtick_42\">\n",
-       "     <g id=\"line2d_164\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9848e15514\" x=\"541.261512\" y=\"234.478694\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_165\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#mf84d10b0a0\" x=\"541.261512\" y=\"9.543966\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 0.6\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"text_14\">\n",
-       "     <!-- box edge length -->\n",
-       "     <g transform=\"translate(394.582387 266.710569)scale(0.12 -0.12)\">\n",
-       "      <use xlink:href=\"#DejaVuSans-62\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6f\" x=\"63.476562\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-78\" x=\"121.533203\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-20\" x=\"180.712891\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-65\" x=\"212.5\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-64\" x=\"274.023438\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-67\" x=\"337.5\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-65\" x=\"400.976562\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-20\" x=\"462.5\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6c\" x=\"494.287109\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-65\" x=\"522.070312\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6e\" x=\"583.59375\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-67\" x=\"646.972656\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-74\" x=\"710.449219\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-68\" x=\"749.658203\"/>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "   </g>\n",
-       "   <g id=\"matplotlib.axis_4\">\n",
-       "    <g id=\"ytick_41\">\n",
-       "     <g id=\"line2d_166\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9bbf6644be\" x=\"331.935625\" y=\"215.757494\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_167\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1ff103936c\" x=\"554.798524\" y=\"215.757494\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_15\">\n",
-       "      <!-- 1.8 -->\n",
-       "      <g transform=\"translate(309.351875 220.316556)scale(0.12 -0.12)\">\n",
-       "       <defs>\n",
-       "        <path id=\"DejaVuSans-2e\" d=\"M 684 794 \n",
-       "L 1344 794 \n",
-       "L 1344 0 \n",
-       "L 684 0 \n",
-       "L 684 794 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "        <path id=\"DejaVuSans-38\" d=\"M 2034 2216 \n",
-       "Q 1584 2216 1326 1975 \n",
-       "Q 1069 1734 1069 1313 \n",
-       "Q 1069 891 1326 650 \n",
-       "Q 1584 409 2034 409 \n",
-       "Q 2484 409 2743 651 \n",
-       "Q 3003 894 3003 1313 \n",
-       "Q 3003 1734 2745 1975 \n",
-       "Q 2488 2216 2034 2216 \n",
-       "z\n",
-       "M 1403 2484 \n",
-       "Q 997 2584 770 2862 \n",
-       "Q 544 3141 544 3541 \n",
-       "Q 544 4100 942 4425 \n",
-       "Q 1341 4750 2034 4750 \n",
-       "Q 2731 4750 3128 4425 \n",
-       "Q 3525 4100 3525 3541 \n",
-       "Q 3525 3141 3298 2862 \n",
-       "Q 3072 2584 2669 2484 \n",
-       "Q 3125 2378 3379 2068 \n",
-       "Q 3634 1759 3634 1313 \n",
-       "Q 3634 634 3220 271 \n",
-       "Q 2806 -91 2034 -91 \n",
-       "Q 1263 -91 848 271 \n",
-       "Q 434 634 434 1313 \n",
-       "Q 434 1759 690 2068 \n",
-       "Q 947 2378 1403 2484 \n",
-       "z\n",
-       "M 1172 3481 \n",
-       "Q 1172 3119 1398 2916 \n",
-       "Q 1625 2713 2034 2713 \n",
-       "Q 2441 2713 2670 2916 \n",
-       "Q 2900 3119 2900 3481 \n",
-       "Q 2900 3844 2670 4047 \n",
-       "Q 2441 4250 2034 4250 \n",
-       "Q 1625 4250 1398 4047 \n",
-       "Q 1172 3844 1172 3481 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       </defs>\n",
-       "       <use xlink:href=\"#DejaVuSans-31\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-38\" x=\"95.410156\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_42\">\n",
-       "     <g id=\"line2d_168\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9bbf6644be\" x=\"331.935625\" y=\"173.20355\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_169\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1ff103936c\" x=\"554.798524\" y=\"173.20355\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_16\">\n",
-       "      <!-- 2.0 -->\n",
-       "      <g transform=\"translate(309.351875 177.762613)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-30\" x=\"95.410156\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_43\">\n",
-       "     <g id=\"line2d_170\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9bbf6644be\" x=\"331.935625\" y=\"130.649607\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_171\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1ff103936c\" x=\"554.798524\" y=\"130.649607\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_17\">\n",
-       "      <!-- 2.2 -->\n",
-       "      <g transform=\"translate(309.351875 135.20867)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-32\" x=\"95.410156\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_44\">\n",
-       "     <g id=\"line2d_172\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9bbf6644be\" x=\"331.935625\" y=\"88.095664\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_173\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1ff103936c\" x=\"554.798524\" y=\"88.095664\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_18\">\n",
-       "      <!-- 2.4 -->\n",
-       "      <g transform=\"translate(309.351875 92.654726)scale(0.12 -0.12)\">\n",
-       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-34\" x=\"95.410156\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"ytick_45\">\n",
-       "     <g id=\"line2d_174\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m9bbf6644be\" x=\"331.935625\" y=\"45.54172\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"line2d_175\">\n",
-       "      <g>\n",
-       "       <use xlink:href=\"#m1ff103936c\" x=\"554.798524\" y=\"45.54172\" style=\"fill: #ffffff; stroke: #000000; stroke-width: 2\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "     <g id=\"text_19\">\n",
-       "      <!-- 2.6 -->\n",
-       "      <g transform=\"translate(309.351875 50.100783)scale(0.12 -0.12)\">\n",
-       "       <defs>\n",
-       "        <path id=\"DejaVuSans-36\" d=\"M 2113 2584 \n",
-       "Q 1688 2584 1439 2293 \n",
-       "Q 1191 2003 1191 1497 \n",
-       "Q 1191 994 1439 701 \n",
-       "Q 1688 409 2113 409 \n",
-       "Q 2538 409 2786 701 \n",
-       "Q 3034 994 3034 1497 \n",
-       "Q 3034 2003 2786 2293 \n",
-       "Q 2538 2584 2113 2584 \n",
-       "z\n",
-       "M 3366 4563 \n",
-       "L 3366 3988 \n",
-       "Q 3128 4100 2886 4159 \n",
-       "Q 2644 4219 2406 4219 \n",
-       "Q 1781 4219 1451 3797 \n",
-       "Q 1122 3375 1075 2522 \n",
-       "Q 1259 2794 1537 2939 \n",
-       "Q 1816 3084 2150 3084 \n",
-       "Q 2853 3084 3261 2657 \n",
-       "Q 3669 2231 3669 1497 \n",
-       "Q 3669 778 3244 343 \n",
-       "Q 2819 -91 2113 -91 \n",
-       "Q 1303 -91 875 529 \n",
-       "Q 447 1150 447 2328 \n",
-       "Q 447 3434 972 4092 \n",
-       "Q 1497 4750 2381 4750 \n",
-       "Q 2619 4750 2861 4703 \n",
-       "Q 3103 4656 3366 4563 \n",
-       "z\n",
-       "\" transform=\"scale(0.015625)\"/>\n",
-       "       </defs>\n",
-       "       <use xlink:href=\"#DejaVuSans-32\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-2e\" x=\"63.623047\"/>\n",
-       "       <use xlink:href=\"#DejaVuSans-36\" x=\"95.410156\"/>\n",
-       "      </g>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "    <g id=\"text_20\">\n",
-       "     <!-- slope -->\n",
-       "     <g transform=\"translate(298.85625 137.976018)rotate(-90)scale(0.12 -0.12)\">\n",
-       "      <use xlink:href=\"#DejaVuSans-73\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6c\" x=\"52.099609\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-6f\" x=\"79.882812\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-70\" x=\"141.064453\"/>\n",
-       "      <use xlink:href=\"#DejaVuSans-65\" x=\"204.541016\"/>\n",
-       "     </g>\n",
-       "    </g>\n",
-       "   </g>\n",
-       "   <g id=\"line2d_176\">\n",
-       "    <path d=\"M 342.065757 200.790007 \n",
-       "L 362.871687 186.552072 \n",
-       "L 386.034625 202.941784 \n",
-       "L 408.647647 213.741666 \n",
-       "L 431.847003 196.37481 \n",
-       "L 454.576366 207.470446 \n",
-       "L 477.049743 201.716327 \n",
-       "L 499.578766 224.254388 \n",
-       "L 522.116052 139.843346 \n",
-       "L 544.668392 19.768272 \n",
-       "\" clip-path=\"url(#p7f513a50e6)\" style=\"fill: none; stroke: #1f77b4; stroke-width: 2; stroke-linecap: square\"/>\n",
-       "    <g clip-path=\"url(#p7f513a50e6)\">\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"342.065757\" y=\"200.790007\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"362.871687\" y=\"186.552072\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"386.034625\" y=\"202.941784\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"408.647647\" y=\"213.741666\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"431.847003\" y=\"196.37481\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"454.576366\" y=\"207.470446\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"477.049743\" y=\"201.716327\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"499.578766\" y=\"224.254388\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"522.116052\" y=\"139.843346\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "     <use xlink:href=\"#m8a05fe2cc2\" x=\"544.668392\" y=\"19.768272\" style=\"fill: #ffffff; stroke: #1f77b4\"/>\n",
-       "    </g>\n",
-       "   </g>\n",
-       "   <g id=\"patch_8\">\n",
-       "    <path d=\"M 331.935625 234.478694 \n",
-       "L 331.935625 9.543966 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "   <g id=\"patch_9\">\n",
-       "    <path d=\"M 554.798524 234.478694 \n",
-       "L 554.798524 9.543966 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "   <g id=\"patch_10\">\n",
-       "    <path d=\"M 331.935625 234.478694 \n",
-       "L 554.798524 234.478694 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "   <g id=\"patch_11\">\n",
-       "    <path d=\"M 331.935625 9.543966 \n",
-       "L 554.798524 9.543966 \n",
-       "\" style=\"fill: none; stroke: #000000; stroke-width: 2; stroke-linejoin: miter; stroke-linecap: square\"/>\n",
-       "   </g>\n",
-       "  </g>\n",
-       " </g>\n",
-       " <defs>\n",
-       "  <clipPath id=\"p7ccc3ca1f6\">\n",
-       "   <rect x=\"51.43375\" y=\"9.543966\" width=\"222.862899\" height=\"224.934728\"/>\n",
-       "  </clipPath>\n",
-       "  <clipPath id=\"p7f513a50e6\">\n",
-       "   <rect x=\"331.935625\" y=\"9.543966\" width=\"222.862899\" height=\"224.934728\"/>\n",
-       "  </clipPath>\n",
-       " </defs>\n",
-       "</svg>\n"
-      ],
+      "image/png": "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",
       "text/plain": [
-       "<Figure size 576x288 with 2 Axes>"
+       "<Figure size 800x400 with 2 Axes>"
       ]
      },
      "metadata": {
-      "needs_background": "light"
+      "image/png": {
+       "height": 383,
+       "width": 784
+      }
      },
      "output_type": "display_data"
     }
@@ -2707,7 +196,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -2721,7 +210,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.9.12"
+   "version": "3.12.7"
   },
   "widgets": {
    "application/vnd.jupyter.widget-state+json": {
@@ -2956,11 +445,11 @@
        "description": "",
        "description_tooltip": null,
        "layout": "IPY_MODEL_007dc7620f5b4acc8d2ce110e06b111c",
-       "max": 10.0,
-       "min": 0.0,
+       "max": 10,
+       "min": 0,
        "orientation": "horizontal",
        "style": "IPY_MODEL_f0893e350438489c91597a8b72627ec8",
-       "value": 10.0
+       "value": 10
       }
      },
      "aafd849e90d641a4a01965f0e9c9e6a1": {
diff --git a/src/porespy/generators/_fractals.py b/src/porespy/generators/_fractals.py
index 9049830d1..0e1673409 100644
--- a/src/porespy/generators/_fractals.py
+++ b/src/porespy/generators/_fractals.py
@@ -13,11 +13,15 @@
 __all__ = [
     'random_cantor_dust',
     'sierpinski_foam',
-    'sierpinski_foam2',
 ]
 
 
-def random_cantor_dust(shape, n: int = 5, p: int = 2, f: float = 0.8, seed: int = None):
+def random_cantor_dust(
+    shape, n: int = 5,
+    p: int = 2,
+    f: float = 0.8,
+    seed: int = None,
+):
     r"""
     Generates an image of random cantor dust
 
@@ -73,7 +77,11 @@ def random_cantor_dust(shape, n: int = 5, p: int = 2, f: float = 0.8, seed: int
     return im
 
 
-def sierpinski_foam2(shape, n: int = 5):
+def sierpinski_foam(
+    shape,
+    n: int = 5,
+    mode: str = 'upper',
+):
     r"""
     Generates an image of a Sierpinski carpet or foam with independent control of
     image size and number of iterations
@@ -81,38 +89,36 @@ def sierpinski_foam2(shape, n: int = 5):
     Parameters
     ----------
     shape : array_like
-        The shape of the final image to create. To create a 'centered' image,
-        the shape should be ``3**n``.
+        The shape of the final image to create. To create a full image with no
+        cropping, use a that is a multiple of `3**n`.
     n : int
         The number of times to iteratively divide the image. This functions starts
         by inserting single voxels, then inserts increasingly large squares/cubes.
+    mode : str
+        Controls the portion of the image that is returned, options are `'upper'`
+        which returns the upper corner, `'centered'`, which returns the center
+        portion of the image, and `None` provide the full image, in which case
+        the returned image will be larger than `shape`.
 
     Returns
     -------
     im : ndarray
-        A boolean image with ``False`` values inserted at at the center of each
+        A boolean image with `False` values inserted at the center of each
         square (or cubic) sub-section.
 
-    Notes
-    -----
-    This function may generate a larger image than need then return the center
-    portion of the requested ``shape``, so the edges may be clipped from the
-    true Sierpinski foam. This can be avoided by setting shape to some multiple
-    of ``3**n``.
-
     Examples
     --------
     `Click here
-    <https://porespy.org/examples/generators/reference/sierpinski_foam2.html>`_
+    <https://porespy.org/examples/generators/reference/sierpinski_foam.html>`_
     to view online example.
 
     """
-    im = np.zeros(shape, dtype=bool)
-    if im.ndim == 2:
-        im[1::3, 1::3] = 1
-    else:
-        im[1::3, 1::3, 1::3] = 1
-    i = 1
+    m = n
+    if 3**(n+1)//3 < max(shape):
+        while 3**(m+1)//3 < max(shape):
+            m += 1
+    im = np.zeros([3**(m+1)//3 for _ in range(len(shape))], dtype=bool)
+    i = 0
     pbar = tqdm()
     while i < n:
         if im.ndim == 2:
@@ -121,71 +127,25 @@ def sierpinski_foam2(shape, n: int = 5):
             mask[s:-s, s:-s] = 1
             t = int(np.ceil(im.shape[0]/mask.shape[0]))
             im2 = np.tile(mask, [t, t])
-            im2 = im2[:im.shape[0], :im.shape[1]]
         if im.ndim == 3:
             mask = np.zeros([3**(i+1), 3**(i+1), 3**(i+1)], dtype=bool)
             s = 3**(i+1)//3
             mask[s:-s, s:-s, s:-s] = 1
             t = int(np.ceil(im.shape[0]/mask.shape[0]))
             im2 = np.tile(mask, [t, t, t])
-            im2 = im2[:im.shape[0], :im.shape[1], :im.shape[2]]
         im += im2
         i += 1
         pbar.update()
     pbar.close()
-    im = im == 0
-    return im
-
-
-def sierpinski_foam(dmin: int = 1, n: int = 5, ndim: int = 2, max_size: int = 1e9):
-    r"""
-    Generates an image of a Sierpinski carpet or foam
-
-    Parameters
-    ----------
-    dmin : int
-        The size of the smallest square in the final image
-    n : int
-        The number of times to iteratively tile the image
-    ndim : int
-        The number of dimensions of the desired image, can be 2 or 3. The
-        default value is 2.
 
-    Returns
-    -------
-    foam : ndarray
-        A boolean image of a Sierpinski gasket or foam
-
-    Examples
-    --------
-    `Click here
-    <https://porespy.org/examples/generators/reference/sierpinski_foam.html>`_
-    to view online example.
-
-    """
-    def _insert_cubes(im, n):
-        if n > 0:
-            n -= 1
-            shape = np.asarray(np.shape(im))
-            im = np.tile(im, (3, 3, 3))
-            im[shape[0]:2*shape[0], shape[1]:2*shape[1], shape[2]:2*shape[2]] = 0
-            if im.size < max_size:
-                im = _insert_cubes(im, n)
-        return im
-
-    def _insert_squares(im, n):
-        if n > 0:
-            n -= 1
-            shape = np.asarray(np.shape(im))
-            im = np.tile(im, (3, 3))
-            im[shape[0]:2*shape[0], shape[1]:2*shape[1]] = 0
-            if im.size < max_size:
-                im = _insert_squares(im, n)
-        return im
-
-    im = np.ones([dmin]*ndim, dtype=int)
-    if ndim == 2:
-        im = _insert_squares(im, n)
-    elif ndim == 3:
-        im = _insert_cubes(im, n)
+    if mode is None:
+        slices = [...]
+    elif mode == 'centered':
+        slices = [slice(im.shape[ax]//2 - shape[ax]//2,
+                        im.shape[ax]//2 + shape[ax]//2,
+                        None) for ax in range(im.ndim)]
+    elif mode == 'upper':
+        slices = [slice(0, shape[ax], None) for ax in range(im.ndim)]
+    im = im[tuple(slices)]
+    im = im == 0  # Invert image
     return im


Test patch:
diff --git a/test/unit/test_generators.py b/test/unit/test_generators.py
index afa774c99..eca425dc2 100644
--- a/test/unit/test_generators.py
+++ b/test/unit/test_generators.py
@@ -504,29 +504,18 @@ def test_cantor_dust_w_seed(self):
         assert not np.all(im1 == im3)
 
     def test_sierpinski_foam(self):
-        im2D = ps.generators.sierpinski_foam(4, 4, 2)
-        assert im2D.shape == (324, 324)
-        im3D = ps.generators.sierpinski_foam(4, 4, 3)
-        assert im3D.shape == (324, 324, 324)
-        im3D = ps.generators.sierpinski_foam(4, 4, 3, max_size=1000)
-        assert im3D.shape == (12, 12, 12)
-        im2D = ps.generators.sierpinski_foam(4, 2, 2)
-        np.testing.assert_allclose(im2D.sum()/im2D.size, 0.7901234567901234)
-        im2D = ps.generators.sierpinski_foam(4, 3, 2)
-        np.testing.assert_allclose(im2D.sum()/im2D.size, 0.7023319615912208)
-        im2D = ps.generators.sierpinski_foam(4, 4, 2)
+        im2D = ps.generators.sierpinski_foam(shape=[100, 100], n=4, mode='centered')
+        assert im2D.shape == (100, 100)
+        im3D = ps.generators.sierpinski_foam(shape=[100, 100, 100], n=4, mode='centered')
+        assert im3D.shape == (100, 100, 100)
+        im3D = ps.generators.sierpinski_foam([100, 100], n=4, mode=None)
+        assert im3D.shape == (243, 243)
+        im2D = ps.generators.sierpinski_foam([100, 100], n=4, mode=None)
         np.testing.assert_allclose(im2D.sum()/im2D.size, 0.6242950769699741)
-        # Ensure the exact same image is produced each time
-        im2D = ps.generators.sierpinski_foam(4, 2, 2)
-        np.testing.assert_allclose(im2D.sum()/im2D.size, 0.7901234567901234)
-
-    def test_sierpinski_foam2(self):
-        im2D = ps.generators.sierpinski_foam2(shape=[100, 100], n=3)
-        assert np.all(im2D.shape == (100, 100))
-        im3D = ps.generators.sierpinski_foam2(shape=[100, 100, 100], n=3)
-        assert np.all(im3D.shape == (100, 100, 100))
-        im2Dn5 = ps.generators.sierpinski_foam2(shape=[100, 100], n=5)
-        assert im2D.sum() > im2Dn5.sum()
+        im2D = ps.generators.sierpinski_foam([100, 100], n=4, mode='centered')
+        np.testing.assert_allclose(im2D.sum()/im2D.size, 0.68)
+        im2D = ps.generators.sierpinski_foam([100, 100], n=4, mode='upper')
+        np.testing.assert_allclose(im2D.sum()/im2D.size, 0.6407)
 
     def test_border_thickness_1(self):
         s = (10, 10)